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.widget-subarea{margin-bottom:1em}.cell-output-display:not(.no-overflow-x),.knitsql-table:not(.no-overflow-x){overflow-x:auto}.panel-input{margin-bottom:1em}.panel-input>div,.panel-input>div>div{display:inline-block;vertical-align:top;padding-right:12px}.panel-input>p:last-child{margin-bottom:0}.layout-sidebar{margin-bottom:1em}.layout-sidebar .tab-content{border:none}.tab-content>.page-columns.active{display:grid}div.sourceCode>iframe{width:100%;height:300px;margin-bottom:-0.5em}a{text-underline-offset:3px}div.ansi-escaped-output{font-family:monospace;display:block}/*! * * ansi colors from IPython notebook's * diff --git a/_freeze/site_libs/revealjs/plugin/reveal-chalkboard/README.md b/_freeze/site_libs/revealjs/plugin/reveal-chalkboard/README.md new file mode 100644 index 0000000..7391a00 --- /dev/null +++ b/_freeze/site_libs/revealjs/plugin/reveal-chalkboard/README.md @@ -0,0 +1,160 @@ +# Chalkboard + +With this plugin you can add a chalkboard to reveal.js. The plugin provides two possibilities to include handwritten notes to your presentation: + +- you can make notes directly on the slides, e.g. to comment on certain aspects, +- you can open a chalkboard or whiteboard on which you can make notes. + +The main use case in mind when implementing the plugin is classroom usage in which you may want to explain some course content and quickly need to make some notes. + +The plugin records all drawings made so that they can be play backed using the `autoSlide` feature or the `audio-slideshow` plugin. + +[Check out the live demo](https://rajgoel.github.io/reveal.js-demos/chalkboard-demo.html) + +The chalkboard effect is based on [Chalkboard](https://github.com/mmoustafa/Chalkboard) by Mohamed Moustafa. + +## Installation + +Copy the file `plugin.js` and the `img` directory into the plugin folder of your reveal.js presentation, i.e. `plugin/chalkboard` and load the plugin as shown below. + +```html + + + + +``` + +The following stylesheet +```html + + +``` +has to be included to the `head` section of you HTML-file. + + +In order to include buttons for opening and closing the notes canvas or the chalkboard you should make sure that `font-awesome` is available. The easiest way is to include +``` + +``` +to the ```head``` section of you HTML-file. + +## Usage + +### Mouse or touch +- Click on the pen symbols at the bottom left to toggle the notes canvas or chalkboard +- Click on the color picker at the left to change the color (the color picker is only visible if the notes canvas or chalkboard is active) +- Click on the up/down arrows on the left to the switch among multiple chalkboardd (the up/down arrows are only available for the chlakboard) +- Click the left mouse button and drag to write on notes canvas or chalkboard +- Click the right mouse button and drag to wipe away previous drawings +- Touch and move to write on notes canvas or chalkboard +- Touch and hold for half a second, then move to wipe away previous drawings + +### Keyboard +- Press the 'BACKSPACE' key to delete all chalkboard drawings +- Press the 'DEL' key to clear the notes canvas or chalkboard +- Press the 'c' key to toggle the notes canvas +- Press the 'b' key to toggle the chalkboard +- Press the 'd' key to download drawings +- Press the 'x' key to cycle colors forward +- Press the 'y' key to cycle colors backward + +## Playback + +If the `autoSlide` feature is set or if the `audio-slideshow` plugin is used, pre-recorded chalkboard drawings can be played. The slideshow plays back the user interaction with the chalkboard in the same way as it was conducted when recording the data. + +## Multiplexing + +The plugin supports multiplexing via the [`multiplex` plugin](https://github.com/reveal/multiplex) or the [`seminar` plugin](https://github.com/rajgoel/reveal.js-plugins/tree/master/seminar). + +## PDF-Export + +If the slideshow is opened in [print mode](https://revealjs.com/pdf-export/), the chalkboard drawings in the session storage (see `storage` option - print version must be opened in the same tab or window as the original slideshow) or provided in a file (see `src` option) are included in the PDF-file. Each drawing on the chalkboard is added after the slide that was shown when opening the chalkboard. Drawings on the notes canvas are not included in the PDF-file. + + +## Configuration + +The plugin has several configuration options: + +- ```boardmarkerWidth```: an integer, the drawing width of the boardmarker; larger values draw thicker lines. +- ```chalkWidth```: an integer, the drawing width of the chalk; larger values draw thicker lines. +- ```chalkEffect```: a float in the range ```[0.0, 1.0]```, the intesity of the chalk effect on the chalk board. Full effect (default) ```1.0```, no effect ```0.0```. +- ```storage```: Optional variable name for session storage of drawings. +- ```src```: Optional filename for pre-recorded drawings. +- ```readOnly```: Configuation option allowing to prevent changes to existing drawings. If set to ```true``` no changes can be made, if set to false ```false``` changes can be made, if unset or set to ```undefined``` no changes to the drawings can be made after returning to a slide or fragment for which drawings had been recorded before. In any case the recorded drawings for a slide or fragment can be cleared by pressing the 'DEL' key (i.e. by using the ```RevealChalkboard.clear()``` function). +- ```transition```: Gives the duration (in milliseconds) of the transition for a slide change, so that the notes canvas is drawn after the transition is completed. +- ```theme```: Can be set to either ```"chalkboard"``` or ```"whiteboard"```. + +The following configuration options allow to change the appearance of the notes canvas and the chalkboard. All of these options require two values, the first gives the value for the notes canvas, the second for the chalkboard. + +- ```background```: The first value expects a (semi-)transparent color which is used to provide visual feedback that the notes canvas is enabled, the second value expects a filename to a background image for the chalkboard. +- ```grid```: By default whiteboard and chalkboard themes include a grid pattern on the background. This pattern can be modified by setting the color, the distance between lines, and the line width, e.g. ```{ color: 'rgb(127,127,255,0.1)', distance: 40, width: 2}```. Alternatively, the grid can be removed by setting the value to ```false```. +- ```eraser```: An image path and radius for the eraser. +- ```boardmarkers```: A list of boardmarkers with given color and cursor. +- ```chalks```: A list of chalks with given color and cursor. +- ```rememberColor```: Whether to remember the last selected color for the slide canvas or the board. + +All of the configurations are optional and the default values shown below are used if the options are not provided. + +```javascript +Reveal.initialize({ + // ... + chalkboard: { + boardmarkerWidth: 3, + chalkWidth: 7, + chalkEffect: 1.0, + storage: null, + src: null, + readOnly: undefined, + transition: 800, + theme: "chalkboard", + background: [ 'rgba(127,127,127,.1)' , path + 'img/blackboard.png' ], + grid: { color: 'rgb(50,50,10,0.5)', distance: 80, width: 2}, + eraser: { src: path + 'img/sponge.png', radius: 20}, + boardmarkers : [ + { color: 'rgba(100,100,100,1)', cursor: 'url(' + path + 'img/boardmarker-black.png), auto'}, + { color: 'rgba(30,144,255, 1)', cursor: 'url(' + path + 'img/boardmarker-blue.png), auto'}, + { color: 'rgba(220,20,60,1)', cursor: 'url(' + path + 'img/boardmarker-red.png), auto'}, + { color: 'rgba(50,205,50,1)', cursor: 'url(' + path + 'img/boardmarker-green.png), auto'}, + { color: 'rgba(255,140,0,1)', cursor: 'url(' + path + 'img/boardmarker-orange.png), auto'}, + { color: 'rgba(150,0,20150,1)', cursor: 'url(' + path + 'img/boardmarker-purple.png), auto'}, + { color: 'rgba(255,220,0,1)', cursor: 'url(' + path + 'img/boardmarker-yellow.png), auto'} + ], + chalks: [ + { color: 'rgba(255,255,255,0.5)', cursor: 'url(' + path + 'img/chalk-white.png), auto'}, + { color: 'rgba(96, 154, 244, 0.5)', cursor: 'url(' + path + 'img/chalk-blue.png), auto'}, + { color: 'rgba(237, 20, 28, 0.5)', cursor: 'url(' + path + 'img/chalk-red.png), auto'}, + { color: 'rgba(20, 237, 28, 0.5)', cursor: 'url(' + path + 'img/chalk-green.png), auto'}, + { color: 'rgba(220, 133, 41, 0.5)', cursor: 'url(' + path + 'img/chalk-orange.png), auto'}, + { color: 'rgba(220,0,220,0.5)', cursor: 'url(' + path + 'img/chalk-purple.png), auto'}, + { color: 'rgba(255,220,0,0.5)', cursor: 'url(' + path + 'img/chalk-yellow.png), auto'} + ] + }, + customcontrols: { + controls: [ + { icon: '', + title: 'Toggle chalkboard (B)', + action: 'RevealChalkboard.toggleChalkboard();' + }, + { icon: '', + title: 'Toggle notes canvas (C)', + action: 'RevealChalkboard.toggleNotesCanvas();' + } + ] + }, + // ... + +}); +``` + + +## License + +MIT licensed + +Copyright (C) 2021 Asvin Goel diff --git a/_freeze/site_libs/revealjs/plugin/reveal-chalkboard/font-awesome/LICENSE.txt b/_freeze/site_libs/revealjs/plugin/reveal-chalkboard/font-awesome/LICENSE.txt new file mode 100644 index 0000000..28c1c4b --- /dev/null +++ b/_freeze/site_libs/revealjs/plugin/reveal-chalkboard/font-awesome/LICENSE.txt @@ -0,0 +1,34 @@ +Font Awesome Free License +------------------------- + +Font Awesome Free is free, open source, and GPL friendly. You can use it for +commercial projects, open source projects, or really almost whatever you want. +Full Font Awesome Free license: https://fontawesome.com/license. + +# Icons: CC BY 4.0 License (https://creativecommons.org/licenses/by/4.0/) +In the Font Awesome Free download, the CC BY 4.0 license applies to all icons +packaged as SVG and JS file types. + +# Fonts: SIL OFL 1.1 License (https://scripts.sil.org/OFL) +In the Font Awesome Free download, the SIL OLF license applies to all icons +packaged as web and desktop font files. + +# Code: MIT License (https://opensource.org/licenses/MIT) +In the Font Awesome Free download, the MIT license applies to all non-font and +non-icon files. + +# Attribution +Attribution is required by MIT, SIL OLF, and CC BY licenses. Downloaded Font +Awesome Free files already contain embedded comments with sufficient +attribution, so you shouldn't need to do anything additional when using these +files normally. + +We've kept attribution comments terse, so we ask that you do not actively work +to remove them from files, especially code. They're a great way for folks to +learn about Font Awesome. + +# Brand Icons +All brand icons are trademarks of their respective owners. The use of these +trademarks does not indicate endorsement of the trademark holder by Font +Awesome, nor vice versa. **Please do not use brand logos for any purpose except +to represent the company, product, or service to which they refer.** diff --git a/_freeze/site_libs/revealjs/plugin/reveal-chalkboard/font-awesome/css/all.css b/_freeze/site_libs/revealjs/plugin/reveal-chalkboard/font-awesome/css/all.css new file mode 100644 index 0000000..7fec2e3 --- /dev/null +++ b/_freeze/site_libs/revealjs/plugin/reveal-chalkboard/font-awesome/css/all.css @@ -0,0 +1,5 @@ +/*! + * Font Awesome Free 5.1.0 by @fontawesome - https://fontawesome.com + * License - https://fontawesome.com/license (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) + */ 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Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-css3 { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-ticket:before { + content: "\f3ff"; } + +.fa.fa-minus-square-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-minus-square-o:before { + content: "\f146"; } + +.fa.fa-level-up:before { + content: "\f3bf"; } + +.fa.fa-level-down:before { + content: "\f3be"; } + +.fa.fa-pencil-square:before { + content: "\f14b"; } + +.fa.fa-external-link-square:before { + content: "\f360"; } + +.fa.fa-compass { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-caret-square-o-down { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-caret-square-o-down:before { + content: "\f150"; } + +.fa.fa-toggle-down { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-toggle-down:before { + content: "\f150"; } + +.fa.fa-caret-square-o-up { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + 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+.fa.fa-rub:before { + content: "\f158"; } + +.fa.fa-ruble:before { + content: "\f158"; } + +.fa.fa-rouble:before { + content: "\f158"; } + +.fa.fa-krw:before { + content: "\f159"; } + +.fa.fa-won:before { + content: "\f159"; } + +.fa.fa-btc { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-bitcoin { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-bitcoin:before { + content: "\f15a"; } + +.fa.fa-file-text:before { + content: "\f15c"; } + +.fa.fa-sort-alpha-asc:before { + content: "\f15d"; } + +.fa.fa-sort-alpha-desc:before { + content: "\f15e"; } + +.fa.fa-sort-amount-asc:before { + content: "\f160"; } + +.fa.fa-sort-amount-desc:before { + content: "\f161"; } + +.fa.fa-sort-numeric-asc:before { + content: "\f162"; } + +.fa.fa-sort-numeric-desc:before { + content: "\f163"; } + +.fa.fa-youtube-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-youtube { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-xing { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-xing-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-youtube-play { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-youtube-play:before { + content: "\f167"; } + +.fa.fa-dropbox { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-stack-overflow { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-instagram { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-flickr { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-adn { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-bitbucket { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-bitbucket-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-bitbucket-square:before { + content: "\f171"; } + +.fa.fa-tumblr { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-tumblr-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-long-arrow-down:before { + content: "\f309"; } + +.fa.fa-long-arrow-up:before { + content: "\f30c"; } + +.fa.fa-long-arrow-left:before { + content: "\f30a"; } + +.fa.fa-long-arrow-right:before { + content: "\f30b"; } + +.fa.fa-apple { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-windows { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-android { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-linux { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-dribbble { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-skype { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-foursquare { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-trello { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-gratipay { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-gittip { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-gittip:before { + content: "\f184"; } + +.fa.fa-sun-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-sun-o:before { + content: "\f185"; } + +.fa.fa-moon-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-moon-o:before { + content: "\f186"; } + +.fa.fa-vk { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-weibo { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-renren { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-pagelines { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-stack-exchange { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-arrow-circle-o-right { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-arrow-circle-o-right:before { + content: "\f35a"; } + +.fa.fa-arrow-circle-o-left { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-arrow-circle-o-left:before { + content: "\f359"; } + +.fa.fa-caret-square-o-left { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-caret-square-o-left:before { + content: "\f191"; } + +.fa.fa-toggle-left { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-toggle-left:before { + content: "\f191"; } + +.fa.fa-dot-circle-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-dot-circle-o:before { + content: "\f192"; } + +.fa.fa-vimeo-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-try:before { + content: "\f195"; } + +.fa.fa-turkish-lira:before { + content: "\f195"; } + +.fa.fa-plus-square-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-plus-square-o:before { + content: "\f0fe"; } + +.fa.fa-slack { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-wordpress { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-openid { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-institution:before { + content: "\f19c"; } + +.fa.fa-bank:before { + content: "\f19c"; } + +.fa.fa-mortar-board:before { + content: "\f19d"; } + +.fa.fa-yahoo { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-google { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-reddit { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-reddit-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-stumbleupon-circle { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-stumbleupon { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-delicious { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-digg { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-pied-piper-pp { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-pied-piper-alt { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-drupal { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-joomla { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-spoon:before { + content: "\f2e5"; } + +.fa.fa-behance { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-behance-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-steam { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-steam-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-automobile:before { + content: "\f1b9"; } + +.fa.fa-cab:before { + content: "\f1ba"; } + +.fa.fa-envelope-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-envelope-o:before { + content: "\f0e0"; } + +.fa.fa-deviantart { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-soundcloud { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-file-pdf-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-pdf-o:before { + content: "\f1c1"; } + +.fa.fa-file-word-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-word-o:before { + content: "\f1c2"; } + +.fa.fa-file-excel-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-excel-o:before { + content: "\f1c3"; } + +.fa.fa-file-powerpoint-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-powerpoint-o:before { + content: "\f1c4"; } + +.fa.fa-file-image-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-image-o:before { + content: "\f1c5"; } + +.fa.fa-file-photo-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-photo-o:before { + content: "\f1c5"; } + +.fa.fa-file-picture-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-picture-o:before { + content: "\f1c5"; } + +.fa.fa-file-archive-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-archive-o:before { + content: "\f1c6"; } + +.fa.fa-file-zip-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-zip-o:before { + content: "\f1c6"; } + +.fa.fa-file-audio-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-audio-o:before { + content: "\f1c7"; } + +.fa.fa-file-sound-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-sound-o:before { + content: "\f1c7"; } + +.fa.fa-file-video-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-video-o:before { + content: "\f1c8"; } + +.fa.fa-file-movie-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-movie-o:before { + content: "\f1c8"; } + +.fa.fa-file-code-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-code-o:before { + content: "\f1c9"; } + +.fa.fa-vine { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-codepen { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-jsfiddle { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-life-ring { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-life-bouy { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-life-bouy:before { + content: "\f1cd"; } + +.fa.fa-life-buoy { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-life-buoy:before { + content: "\f1cd"; } + +.fa.fa-life-saver { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-life-saver:before { + content: "\f1cd"; } + +.fa.fa-support { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-support:before { + content: "\f1cd"; } + +.fa.fa-circle-o-notch:before { + content: "\f1ce"; } + +.fa.fa-rebel { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-ra { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-ra:before { + content: "\f1d0"; } + +.fa.fa-resistance { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-resistance:before { + content: "\f1d0"; } + +.fa.fa-empire { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-ge { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-ge:before { + content: "\f1d1"; } + +.fa.fa-git-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-git { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-hacker-news { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-y-combinator-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-y-combinator-square:before { + content: "\f1d4"; } + +.fa.fa-yc-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-yc-square:before { + content: "\f1d4"; } + +.fa.fa-tencent-weibo { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-qq { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-weixin { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-wechat { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-wechat:before { + content: "\f1d7"; } + +.fa.fa-send:before { + content: "\f1d8"; } + +.fa.fa-paper-plane-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-paper-plane-o:before { + content: "\f1d8"; } + +.fa.fa-send-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-send-o:before { + content: "\f1d8"; } + +.fa.fa-circle-thin { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-circle-thin:before { + content: "\f111"; } + +.fa.fa-header:before { + content: "\f1dc"; } + +.fa.fa-sliders:before { + content: "\f1de"; } + +.fa.fa-futbol-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-futbol-o:before { + content: "\f1e3"; } + +.fa.fa-soccer-ball-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-soccer-ball-o:before { + content: "\f1e3"; } + +.fa.fa-slideshare { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-twitch { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-yelp { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-newspaper-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-newspaper-o:before { + content: "\f1ea"; } + +.fa.fa-paypal { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-google-wallet { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-cc-visa { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-cc-mastercard { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-cc-discover { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-cc-amex { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-cc-paypal { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-cc-stripe { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-bell-slash-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-bell-slash-o:before { + content: "\f1f6"; } + +.fa.fa-trash:before { + content: "\f2ed"; } + +.fa.fa-copyright { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-eyedropper:before { + content: "\f1fb"; } + +.fa.fa-area-chart:before { + content: "\f1fe"; } + +.fa.fa-pie-chart:before { + content: "\f200"; } + +.fa.fa-line-chart:before { + content: "\f201"; } + +.fa.fa-lastfm { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-lastfm-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-ioxhost { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-angellist { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-cc { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-cc:before { + content: "\f20a"; } + +.fa.fa-ils:before { + content: "\f20b"; } + +.fa.fa-shekel:before { + content: "\f20b"; } + +.fa.fa-sheqel:before { + content: "\f20b"; } + +.fa.fa-meanpath { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-meanpath:before { + content: "\f2b4"; } + +.fa.fa-buysellads { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-connectdevelop { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-dashcube { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-forumbee { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-leanpub { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-sellsy { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-shirtsinbulk { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-simplybuilt { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-skyatlas { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-diamond { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-diamond:before { + content: "\f3a5"; } + +.fa.fa-intersex:before { + content: "\f224"; } + +.fa.fa-facebook-official { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-facebook-official:before { + content: "\f09a"; } + +.fa.fa-pinterest-p { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-whatsapp { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-hotel:before { + content: "\f236"; } + +.fa.fa-viacoin { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-medium { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-y-combinator { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-yc { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-yc:before { + content: "\f23b"; } + +.fa.fa-optin-monster { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-opencart { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-expeditedssl { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-battery-4:before { + content: "\f240"; } + +.fa.fa-battery:before { + content: "\f240"; } + +.fa.fa-battery-3:before { + content: "\f241"; } + +.fa.fa-battery-2:before { + content: "\f242"; } + +.fa.fa-battery-1:before { + content: "\f243"; } + +.fa.fa-battery-0:before { + content: "\f244"; } + +.fa.fa-object-group { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + 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a/_freeze/site_libs/revealjs/plugin/reveal-chalkboard/plugin.js b/_freeze/site_libs/revealjs/plugin/reveal-chalkboard/plugin.js new file mode 100644 index 0000000..23edd1e --- /dev/null +++ b/_freeze/site_libs/revealjs/plugin/reveal-chalkboard/plugin.js @@ -0,0 +1,1985 @@ +/***************************************************************** + ** Author: Asvin Goel, goel@telematique.eu + ** + ** A plugin for reveal.js adding a chalkboard. + ** + ** Version: 2.1.0 + ** + ** License: MIT license (see LICENSE.md) + ** + ** Credits: + ** Chalkboard effect by Mohamed Moustafa https://github.com/mmoustafa/Chalkboard + ** Multi color support initially added by Kurt Rinnert https://github.com/rinnert + ** Compatibility with reveal.js v4 by Hakim El Hattab https://github.com/hakimel + ******************************************************************/ + +window.RevealChalkboard = window.RevealChalkboard || { + id: 'RevealChalkboard', + init: function ( deck ) { + initChalkboard( deck ); + }, + configure: function ( config ) { + configure( config ); + }, + toggleNotesCanvas: function () { + toggleNotesCanvas(); + }, + toggleChalkboard: function () { + toggleChalkboard(); + }, + colorIndex: function () { + colorIndex(); + }, + colorNext: function () { + colorNext(); + }, + colorPrev: function () { + colorPrev(); + }, + clear: function () { + clear(); + }, + reset: function () { + reset(); + }, + resetAll: function () { + resetAll(); + }, + updateStorage: function () { + updateStorage(); + }, + getData: function () { + return getData(); + }, + download: function () { + download(); + }, +}; + +function scriptPath() { + // obtain plugin path from the script element + var src; + if ( document.currentScript ) { + src = document.currentScript.src; + } else { + var sel = document.querySelector( 'script[src$="/chalkboard/plugin.js"]' ) + if ( sel ) { + src = sel.src; + } + } + var path = ( src === undefined ) ? "" : src.slice( 0, src.lastIndexOf( "/" ) + 1 ); +//console.log("Path: " + path); + return path; +} +var path = scriptPath(); + +const initChalkboard = function ( Reveal ) { +//console.warn(path); + /* Feature detection for passive event handling*/ + var passiveSupported = false; + + try { + window.addEventListener( 'test', null, Object.defineProperty( {}, 'passive', { + get: function () { + passiveSupported = true; + } + } ) ); + } catch ( err ) {} + + +/***************************************************************** + ** Configuration + ******************************************************************/ + var background, pen, draw, color; + var grid = false; + var boardmarkerWidth = 3; + var chalkWidth = 7; + var chalkEffect = 1.0; + var rememberColor = [ true, false ]; + var eraser = { + src: path + 'img/sponge.png', + radius: 20 + }; + var boardmarkers = [ { + color: 'rgba(100,100,100,1)', + cursor: 'url(' + path + 'img/boardmarker-black.png), auto' + }, + { + color: 'rgba(30,144,255, 1)', + cursor: 'url(' + path + 'img/boardmarker-blue.png), auto' + }, + { + color: 'rgba(220,20,60,1)', + cursor: 'url(' + path + 'img/boardmarker-red.png), auto' + }, + { + color: 'rgba(50,205,50,1)', + cursor: 'url(' + path + 'img/boardmarker-green.png), auto' + }, + { + color: 'rgba(255,140,0,1)', + cursor: 'url(' + path + 'img/boardmarker-orange.png), auto' + }, + { + color: 'rgba(150,0,20150,1)', + cursor: 'url(' + path + 'img/boardmarker-purple.png), auto' + }, + { + color: 'rgba(255,220,0,1)', + cursor: 'url(' + path + 'img/boardmarker-yellow.png), auto' + } + ]; + var chalks = [ { + color: 'rgba(255,255,255,0.5)', + cursor: 'url(' + path + 'img/chalk-white.png), auto' + }, + { + color: 'rgba(96, 154, 244, 0.5)', + cursor: 'url(' + path + 'img/chalk-blue.png), auto' + }, + { + color: 'rgba(237, 20, 28, 0.5)', + cursor: 'url(' + path + 'img/chalk-red.png), auto' + }, + { + color: 'rgba(20, 237, 28, 0.5)', + cursor: 'url(' + path + 'img/chalk-green.png), auto' + }, + { + color: 'rgba(220, 133, 41, 0.5)', + cursor: 'url(' + path + 'img/chalk-orange.png), auto' + }, + { + color: 'rgba(220,0,220,0.5)', + cursor: 'url(' + path + 'img/chalk-purple.png), auto' + }, + { + color: 'rgba(255,220,0,0.5)', + cursor: 'url(' + path + 'img/chalk-yellow.png), auto' + } + ]; + var keyBindings = { + toggleNotesCanvas: { + keyCode: 67, + key: 'C', + description: 'Toggle notes canvas' + }, + toggleChalkboard: { + keyCode: 66, + key: 'B', + description: 'Toggle chalkboard' + }, + clear: { + keyCode: 46, + key: 'DEL', + description: 'Clear drawings on slide' + }, +/* + reset: { + keyCode: 173, + key: '-', + description: 'Reset drawings on slide' + }, +*/ + resetAll: { + keyCode: 8, + key: 'BACKSPACE', + description: 'Reset all drawings' + }, + colorNext: { + keyCode: 88, + key: 'X', + description: 'Next color' + }, + colorPrev: { + keyCode: 89, + key: 'Y', + description: 'Previous color' + }, + download: { + keyCode: 68, + key: 'D', + description: 'Download drawings' + } + }; + + + var theme = 'chalkboard'; + var color = [ 0, 0 ]; + var toggleChalkboardButton = false; + var toggleNotesButton = false; + var colorButtons = true; + var boardHandle = true; + var transition = 800; + + var readOnly = false; + var messageType = 'broadcast'; + + var config = configure( Reveal.getConfig().chalkboard || {} ); + if ( config.keyBindings ) { + for ( var key in config.keyBindings ) { + keyBindings[ key ] = config.keyBindings[ key ]; + }; + } + + function configure( config ) { + + if ( config.boardmarkerWidth || config.penWidth ) boardmarkerWidth = config.boardmarkerWidth || config.penWidth; + if ( config.chalkWidth ) chalkWidth = config.chalkWidth; + if ( config.chalkEffect ) chalkEffect = config.chalkEffect; + if ( config.rememberColor ) rememberColor = config.rememberColor; + if ( config.eraser ) eraser = config.eraser; + if ( config.boardmarkers ) boardmarkers = config.boardmarkers; + if ( config.chalks ) chalks = config.chalks; + + if ( config.theme ) theme = config.theme; + switch ( theme ) { + case 'whiteboard': + background = [ 'rgba(127,127,127,.1)', path + 'img/whiteboard.png' ]; + draw = [ drawWithBoardmarker, drawWithBoardmarker ]; + pens = [ boardmarkers, boardmarkers ]; + grid = { + color: 'rgb(127,127,255,0.1)', + distance: 40, + width: 2 + }; + break; + case 'chalkboard': + default: + background = [ 'rgba(127,127,127,.1)', path + 'img/blackboard.png' ]; + draw = [ drawWithBoardmarker, drawWithChalk ]; + pens = [ boardmarkers, chalks ]; + grid = { + color: 'rgb(50,50,10,0.5)', + distance: 80, + width: 2 + }; + } + + if ( config.background ) background = config.background; + if ( config.grid != undefined ) grid = config.grid; + + if ( config.toggleChalkboardButton != undefined ) toggleChalkboardButton = config.toggleChalkboardButton; + if ( config.toggleNotesButton != undefined ) toggleNotesButton = config.toggleNotesButton; + if ( config.colorButtons != undefined ) colorButtons = config.colorButtons; + if ( config.boardHandle != undefined ) boardHandle = config.boardHandle; + if ( config.transition ) transition = config.transition; + + if ( config.readOnly != undefined ) readOnly = config.readOnly; + if ( config.messageType ) messageType = config.messageType; + + if ( drawingCanvas && ( config.theme || config.background || config.grid ) ) { + var canvas = document.getElementById( drawingCanvas[ 1 ].id ); + canvas.style.background = 'url("' + background[ 1 ] + '") repeat'; + clearCanvas( 1 ); + drawGrid(); + } + + return config; + } +/***************************************************************** + ** Setup + ******************************************************************/ + + function whenReady( callback ) { + // wait for markdown to be parsed and code to be highlighted + if ( !document.querySelector( 'section[data-markdown]:not([data-markdown-parsed])' ) + && !document.querySelector( 'code[data-line-numbers*="|"]') + ) { + callback(); + } else { + console.log( "Wait for markdown to be parsed and code to be highlighted" ); + setTimeout( whenReady, 500, callback ) + } + } + + function whenLoaded( callback ) { + // wait for drawings to be loaded and markdown to be parsed + if ( loaded !== null ) { + callback(); + } else { + console.log( "Wait for drawings to be loaded" ); + setTimeout( whenLoaded, 500, callback ) + } + } + + if ( toggleChalkboardButton ) { +console.warn( "toggleChalkboardButton is deprecated, use customcontrols plugin instead!" ); +//console.log("toggleChalkboardButton") + var button = document.createElement( 'div' ); + button.className = "chalkboard-button"; + button.id = "toggle-chalkboard"; + button.style.visibility = "visible"; + button.style.position = "absolute"; + button.style.zIndex = 30; + button.style.fontSize = "24px"; + + button.style.left = toggleChalkboardButton.left || "30px"; + button.style.bottom = toggleChalkboardButton.bottom || "30px"; + button.style.top = toggleChalkboardButton.top || "auto"; + button.style.right = toggleChalkboardButton.right || "auto"; + + button.innerHTML = '' + document.querySelector( ".reveal" ).appendChild( button ); + } + if ( toggleNotesButton ) { +console.warn( "toggleNotesButton is deprecated, use customcontrols plugin instead!" ); +//console.log("toggleNotesButton") + var button = document.createElement( 'div' ); + button.className = "chalkboard-button"; + button.id = "toggle-notes"; + button.style.position = "absolute"; + button.style.zIndex = 30; + button.style.fontSize = "24px"; + + button.style.left = toggleNotesButton.left || "70px"; + button.style.bottom = toggleNotesButton.bottom || "30px"; + button.style.top = toggleNotesButton.top || "auto"; + button.style.right = toggleNotesButton.right || "auto"; + + button.innerHTML = '' + document.querySelector( ".reveal" ).appendChild( button ); + } + + var drawingCanvas = [ { + id: 'notescanvas' + }, { + id: 'chalkboard' + } ]; + setupDrawingCanvas( 0 ); + setupDrawingCanvas( 1 ); + + var mode = 0; // 0: notes canvas, 1: chalkboard + var board = 0; // board index (only for chalkboard) + + var mouseX = 0; + var mouseY = 0; + var lastX = null; + var lastY = null; + + var drawing = false; + var erasing = false; + + var slideStart = Date.now(); + var slideIndices = { + h: 0, + v: 0 + }; + + var timeouts = [ + [], + [] + ]; + var touchTimeout = null; + var slidechangeTimeout = null; + var updateStorageTimeout = null; + var playback = false; + + function createPalette( colors, length ) { + if ( length === true || length > colors.length ) { + length = colors.length; + } + var palette = document.createElement( 'div' ); + palette.classList.add( 'palette' ); + var list = document.createElement( 'ul' ); + // color pickers + for ( var i = 0; i < length; i++ ) { + var colorButton = document.createElement( 'li' ); + colorButton.setAttribute( 'data-color', i ); + colorButton.innerHTML = ''; + colorButton.style.color = colors[ i ].color; + colorButton.addEventListener( 'click', function ( e ) { + var element = e.target; + while ( !element.hasAttribute( 'data-color' ) ) { + element = element.parentElement; + } + colorIndex( parseInt( element.getAttribute( 'data-color' ) ) ); + } ); + colorButton.addEventListener( 'touchstart', function ( e ) { + var element = e.target; + while ( !element.hasAttribute( 'data-color' ) ) { + element = element.parentElement; + } + colorIndex( parseInt( element.getAttribute( 'data-color' ) ) ); + } ); + list.appendChild( colorButton ); + } + palette.appendChild( list ); + return palette; + }; + + function switchBoard( boardIdx ) { + selectBoard( boardIdx, true ); + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'selectboard', + timestamp: Date.now() - slideStart, + mode, + board + }; + document.dispatchEvent( message ); + } + + function setupDrawingCanvas( id ) { + var container = document.createElement( 'div' ); + container.id = drawingCanvas[ id ].id; + container.classList.add( 'overlay' ); + container.setAttribute( 'data-prevent-swipe', 'true' ); + container.oncontextmenu = function () { + return false; + } + container.style.cursor = pens[ id ][ color[ id ] ].cursor; + + drawingCanvas[ id ].width = window.innerWidth; + drawingCanvas[ id ].height = window.innerHeight; + drawingCanvas[ id ].scale = 1; + drawingCanvas[ id ].xOffset = 0; + drawingCanvas[ id ].yOffset = 0; + + if ( id == "0" ) { + container.style.background = 'rgba(0,0,0,0)'; + container.style.zIndex = 24; + container.style.opacity = 1; + container.style.visibility = 'visible'; + container.style.pointerEvents = 'none'; + + var slides = document.querySelector( '.slides' ); + var aspectRatio = Reveal.getConfig().width / Reveal.getConfig().height; + if ( drawingCanvas[ id ].width > drawingCanvas[ id ].height * aspectRatio ) { + drawingCanvas[ id ].xOffset = ( drawingCanvas[ id ].width - drawingCanvas[ id ].height * aspectRatio ) / 2; + } else if ( drawingCanvas[ id ].height > drawingCanvas[ id ].width / aspectRatio ) { + drawingCanvas[ id ].yOffset = ( drawingCanvas[ id ].height - drawingCanvas[ id ].width / aspectRatio ) / 2; + } + + if ( colorButtons ) { + var palette = createPalette( boardmarkers, colorButtons ); + palette.style.visibility = 'hidden'; // only show palette in drawing mode + container.appendChild( palette ); + } + } else { + container.style.background = 'url("' + background[ id ] + '") repeat'; + container.style.zIndex = 26; + container.style.opacity = 0; + container.style.visibility = 'hidden'; + + if ( colorButtons ) { + var palette = createPalette( chalks, colorButtons ); + container.appendChild( palette ); + } + if ( boardHandle ) { + var handle = document.createElement( 'div' ); + handle.classList.add( 'boardhandle' ); + handle.innerHTML = '

'; + handle.querySelector( '#previousboard' ).addEventListener( 'click', function ( e ) { + e.preventDefault(); + switchBoard( board - 1 ); + } ); + handle.querySelector( '#nextboard' ).addEventListener( 'click', function ( e ) { + e.preventDefault(); + switchBoard( board + 1 ); + } ); + handle.querySelector( '#previousboard' ).addEventListener( 'touchstart', function ( e ) { + e.preventDefault(); + switchBoard( board - 1 ); + } ); + handle.querySelector( '#nextboard' ).addEventListener( 'touchstart', function ( e ) { + e.preventDefault(); + switchBoard( board + 1 ); + } ); + + container.appendChild( handle ); + } + } + + + var sponge = document.createElement( 'img' ); + sponge.src = eraser.src; + sponge.id = 'sponge'; + sponge.style.visibility = 'hidden'; + sponge.style.position = 'absolute'; + container.appendChild( sponge ); + drawingCanvas[ id ].sponge = sponge; + + var canvas = document.createElement( 'canvas' ); + canvas.width = drawingCanvas[ id ].width; + canvas.height = drawingCanvas[ id ].height; + canvas.setAttribute( 'data-chalkboard', id ); + canvas.style.cursor = pens[ id ][ color[ id ] ].cursor; + container.appendChild( canvas ); + drawingCanvas[ id ].canvas = canvas; + + drawingCanvas[ id ].context = canvas.getContext( '2d' ); + + setupCanvasEvents( container ); + + document.querySelector( '.reveal' ).appendChild( container ); + drawingCanvas[ id ].container = container; + } + + +/***************************************************************** + ** Storage + ******************************************************************/ + + var storage = [ { + width: Reveal.getConfig().width, + height: Reveal.getConfig().height, + data: [] + }, + { + width: Reveal.getConfig().width, + height: Reveal.getConfig().height, + data: [] + } + ]; + + var loaded = null; + + if ( config.storage ) { + // Get chalkboard drawings from session storage + loaded = initStorage( sessionStorage.getItem( config.storage ) ); + } + + if ( !loaded && config.src != null ) { + // Get chalkboard drawings from the given file + loadData( config.src ); + } + + /** + * Initialize storage. + */ + function initStorage( json ) { + var success = false; + try { + var data = JSON.parse( json ); + for ( var id = 0; id < data.length; id++ ) { + if ( drawingCanvas[ id ].width != data[ id ].width || drawingCanvas[ id ].height != data[ id ].height ) { + drawingCanvas[ id ].scale = Math.min( drawingCanvas[ id ].width / data[ id ].width, drawingCanvas[ id ].height / data[ id ].height ); + drawingCanvas[ id ].xOffset = ( drawingCanvas[ id ].width - data[ id ].width * drawingCanvas[ id ].scale ) / 2; + drawingCanvas[ id ].yOffset = ( drawingCanvas[ id ].height - data[ id ].height * drawingCanvas[ id ].scale ) / 2; + } + if ( config.readOnly ) { + drawingCanvas[ id ].container.style.cursor = 'default'; + drawingCanvas[ id ].canvas.style.cursor = 'default'; + } + } + success = true; + storage = data; + } catch ( err ) { + console.warn( "Cannot initialise storage!" ); + } + return success; + } + + + /** + * Load data. + */ + function loadData( filename ) { + var xhr = new XMLHttpRequest(); + xhr.onload = function () { + if ( xhr.readyState === 4 && xhr.status != 404 ) { + loaded = initStorage( xhr.responseText ); + updateStorage(); + console.log( "Drawings loaded from file" ); + } else { + config.readOnly = undefined; + readOnly = undefined; + console.warn( 'Failed to get file ' + filename + '. ReadyState: ' + xhr.readyState + ', Status: ' + xhr.status ); + loaded = false; + } + }; + + xhr.open( 'GET', filename, true ); + try { + xhr.send(); + } catch ( error ) { + config.readOnly = undefined; + readOnly = undefined; + console.warn( 'Failed to get file ' + filename + '. Make sure that the presentation and the file are served by a HTTP server and the file can be found there. ' + error ); + loaded = false; + } + } + + + function storageChanged( now ) { + if ( !now ) { + // create or update timer + if ( updateStorageTimeout ) { + clearTimeout( updateStorageTimeout ); + } + updateStorageTimeout = setTimeout( storageChanged, 1000, true); + } + else { +// console.log("Update storage", updateStorageTimeout, Date.now()); + updateStorage(); + updateStorageTimeout = null; + } + } + + function updateStorage() { + var json = JSON.stringify( storage ) + if ( config.storage ) { + sessionStorage.setItem( config.storage, json ) + } + return json; + } + + function recordEvent( event ) { +//console.log(event); + event.time = Date.now() - slideStart; + if ( mode == 1 ) event.board = board; + var slideData = getSlideData(); + var i = slideData.events.length; + while ( i > 0 && event.time < slideData.events[ i - 1 ].time ) { + i--; + } + slideData.events.splice( i, 0, event ); + slideData.duration = Math.max( slideData.duration, Date.now() - slideStart ) + 1; + + storageChanged(); + } + + /** + * Get data as json string. + */ + function getData() { + // cleanup slide data without events + for ( var id = 0; id < 2; id++ ) { + for ( var i = storage[ id ].data.length - 1; i >= 0; i-- ) { + if ( storage[ id ].data[ i ].events.length == 0 ) { + storage[ id ].data.splice( i, 1 ); + } + } + } + + return updateStorage(); + } + + /** + * Download data. + */ + function downloadData() { + var a = document.createElement( 'a' ); + document.body.appendChild( a ); + try { + a.download = 'chalkboard.json'; + var blob = new Blob( [ getData() ], { + type: 'application/json' + } ); + a.href = window.URL.createObjectURL( blob ); + } catch ( error ) { + // https://stackoverflow.com/a/6234804 + // escape data for proper handling of quotes and line breaks + // in case malicious gets a chance to craft the exception message + error = String(error).replace(/&/g, "&") + .replace(//g, ">") + .replace(/"/g, """) + .replace(/'/g, "'"); + + a.innerHTML += ' (' + error + ')'; + } + a.click(); + document.body.removeChild( a ); + } + + /** + * Returns data object for the slide with the given indices. + */ + function getSlideData( indices, id ) { + if ( id == undefined ) id = mode; + if ( !indices ) indices = slideIndices; + var data; + for ( var i = 0; i < storage[ id ].data.length; i++ ) { + if ( storage[ id ].data[ i ].slide.h === indices.h && storage[ id ].data[ i ].slide.v === indices.v && storage[ id ].data[ i ].slide.f === indices.f ) { + data = storage[ id ].data[ i ]; + return data; + } + } + var page = Number( Reveal.getCurrentSlide().getAttribute('data-pdf-page-number') ); +//console.log( indices, Reveal.getCurrentSlide() ); + storage[ id ].data.push( { + slide: indices, + page, + events: [], + duration: 0 + } ); + data = storage[ id ].data[ storage[ id ].data.length - 1 ]; + return data; + } + + /** + * Returns maximum duration of slide playback for both modes + */ + function getSlideDuration( indices ) { + if ( !indices ) indices = slideIndices; + var duration = 0; + for ( var id = 0; id < 2; id++ ) { + for ( var i = 0; i < storage[ id ].data.length; i++ ) { + if ( storage[ id ].data[ i ].slide.h === indices.h && storage[ id ].data[ i ].slide.v === indices.v && storage[ id ].data[ i ].slide.f === indices.f ) { + duration = Math.max( duration, storage[ id ].data[ i ].duration ); + break; + } + } + } +//console.log( duration ); + return duration; + } + +/***************************************************************** + ** Print + ******************************************************************/ + var printMode = ( /print-pdf/gi ).test( window.location.search ); +//console.log("createPrintout" + printMode) + + function addPageNumbers() { + // determine page number for printouts with fragments serialised + var slides = Reveal.getSlides(); + var page = 0; + for ( var i=0; i < slides.length; i++) { + slides[i].setAttribute('data-pdf-page-number',page.toString()); + // add number of fragments without fragment indices + var count = slides[i].querySelectorAll('.fragment:not([data-fragment-index])').length; + var fragments = slides[i].querySelectorAll('.fragment[data-fragment-index]'); + for ( var j=0; j < fragments.length; j++) { + // increasenumber of fragments by highest fragment index (which start at 0) + if ( Number(fragments[j].getAttribute('data-fragment-index')) + 1 > count ) { + count = Number(fragments[j].getAttribute('data-fragment-index')) + 1; + } + } +//console.log(count,fragments.length,( slides[i].querySelector('h1,h2,h3,h4')||{}).innerHTML, page); + page += count + 1; + } + } + + function createPrintout() { + //console.warn(Reveal.getTotalSlides(),Reveal.getSlidesElement()); + if ( storage[ 1 ].data.length == 0 ) return; + console.log( 'Create printout(s) for ' + storage[ 1 ].data.length + " slides" ); + drawingCanvas[ 0 ].container.style.opacity = 0; // do not print notes canvas + drawingCanvas[ 0 ].container.style.visibility = 'hidden'; + + var patImg = new Image(); + patImg.onload = function () { + var slides = Reveal.getSlides(); +//console.log(slides); + for ( var i = storage[ 1 ].data.length - 1; i >= 0; i-- ) { + console.log( 'Create printout for slide ' + storage[ 1 ].data[ i ].slide.h + '.' + storage[ 1 ].data[ i ].slide.v ); + var slideData = getSlideData( storage[ 1 ].data[ i ].slide, 1 ); + var drawings = createDrawings( slideData, patImg ); +//console.log("Page:", storage[ 1 ].data[ i ].page ); +//console.log("Slide:", slides[storage[ 1 ].data[ i ].page] ); + addDrawings( slides[storage[ 1 ].data[ i ].page], drawings ); + + } +// Reveal.sync(); + }; + patImg.src = background[ 1 ]; + } + + + function cloneCanvas( oldCanvas ) { + //create a new canvas + var newCanvas = document.createElement( 'canvas' ); + var context = newCanvas.getContext( '2d' ); + //set dimensions + newCanvas.width = oldCanvas.width; + newCanvas.height = oldCanvas.height; + //apply the old canvas to the new one + context.drawImage( oldCanvas, 0, 0 ); + //return the new canvas + return newCanvas; + } + + function getCanvas( template, container, board ) { + var idx = container.findIndex( element => element.board === board ); + if ( idx === -1 ) { + var canvas = cloneCanvas( template ); + if ( !container.length ) { + idx = 0; + container.push( { + board, + canvas + } ); + } else if ( board < container[ 0 ].board ) { + idx = 0; + container.unshift( { + board, + canvas + } ); + } else if ( board > container[ container.length - 1 ].board ) { + idx = container.length; + container.push( { + board, + canvas + } ); + } + } + + return container[ idx ].canvas; + } + + function createDrawings( slideData, patImg ) { + var width = Reveal.getConfig().width; + var height = Reveal.getConfig().height; + var scale = 1; + var xOffset = 0; + var yOffset = 0; + if ( width != storage[ 1 ].width || height != storage[ 1 ].height ) { + scale = Math.min( width / storage[ 1 ].width, height / storage[ 1 ].height ); + xOffset = ( width - storage[ 1 ].width * scale ) / 2; + yOffset = ( height - storage[ 1 ].height * scale ) / 2; + } + mode = 1; + board = 0; +// console.log( 'Create printout(s) for slide ', slideData ); + + var drawings = []; + var template = document.createElement( 'canvas' ); + template.width = width; + template.height = height; + + var imgCtx = template.getContext( '2d' ); + imgCtx.fillStyle = imgCtx.createPattern( patImg, 'repeat' ); + imgCtx.rect( 0, 0, width, height ); + imgCtx.fill(); + + for ( var j = 0; j < slideData.events.length; j++ ) { + switch ( slideData.events[ j ].type ) { + case 'draw': + draw[ 1 ]( getCanvas( template, drawings, board ).getContext( '2d' ), + xOffset + slideData.events[ j ].x1 * scale, + yOffset + slideData.events[ j ].y1 * scale, + xOffset + slideData.events[ j ].x2 * scale, + yOffset + slideData.events[ j ].y2 * scale, + yOffset + slideData.events[ j ].color + ); + break; + case 'erase': + eraseWithSponge( getCanvas( template, drawings, board ).getContext( '2d' ), + xOffset + slideData.events[ j ].x * scale, + yOffset + slideData.events[ j ].y * scale + ); + break; + case 'selectboard': + selectBoard( slideData.events[ j ].board ); + break; + case 'clear': + getCanvas( template, drawings, board ).getContext( '2d' ).clearRect( 0, 0, width, height ); + getCanvas( template, drawings, board ).getContext( '2d' ).fill(); + break; + default: + break; + } + } + + drawings = drawings.sort( ( a, b ) => a.board > b.board && 1 || -1 ); + + mode = 0; + + return drawings; + } + + function addDrawings( slide, drawings ) { + var parent = slide.parentElement.parentElement; + var nextSlide = slide.parentElement.nextElementSibling; + + for ( var i = 0; i < drawings.length; i++ ) { + var newPDFPage = document.createElement( 'div' ); + newPDFPage.classList.add( 'pdf-page' ); + newPDFPage.style.height = Reveal.getConfig().height; + newPDFPage.append( drawings[ i ].canvas ); +//console.log("Add drawing", newPDFPage); + if ( nextSlide != null ) { + parent.insertBefore( newPDFPage, nextSlide ); + } else { + parent.append( newPDFPage ); + } + } + } + + /***************************************************************** + ** Drawings + ******************************************************************/ + + function drawWithBoardmarker( context, fromX, fromY, toX, toY, colorIdx ) { + if ( colorIdx == undefined ) colorIdx = color[ mode ]; + context.lineWidth = boardmarkerWidth; + context.lineCap = 'round'; + context.strokeStyle = boardmarkers[ colorIdx ].color; + context.beginPath(); + context.moveTo( fromX, fromY ); + context.lineTo( toX, toY ); + context.stroke(); + } + + function drawWithChalk( context, fromX, fromY, toX, toY, colorIdx ) { + if ( colorIdx == undefined ) colorIdx = color[ mode ]; + var brushDiameter = chalkWidth; + context.lineWidth = brushDiameter; + context.lineCap = 'round'; + context.fillStyle = chalks[ colorIdx ].color; // 'rgba(255,255,255,0.5)'; + context.strokeStyle = chalks[ colorIdx ].color; + /*var opacity = Math.min(0.8, Math.max(0,color[1].replace(/^.*,(.+)\)/,'$1') - 0.1)) + Math.random()*0.2;*/ + var opacity = 1.0; + context.strokeStyle = context.strokeStyle.replace( /[\d\.]+\)$/g, opacity + ')' ); + context.beginPath(); + context.moveTo( fromX, fromY ); + context.lineTo( toX, toY ); + context.stroke(); + // Chalk Effect + var length = Math.round( Math.sqrt( Math.pow( toX - fromX, 2 ) + Math.pow( toY - fromY, 2 ) ) / ( 5 / brushDiameter ) ); + var xUnit = ( toX - fromX ) / length; + var yUnit = ( toY - fromY ) / length; + for ( var i = 0; i < length; i++ ) { + if ( chalkEffect > ( Math.random() * 0.9 ) ) { + var xCurrent = fromX + ( i * xUnit ); + var yCurrent = fromY + ( i * yUnit ); + var xRandom = xCurrent + ( Math.random() - 0.5 ) * brushDiameter * 1.2; + var yRandom = yCurrent + ( Math.random() - 0.5 ) * brushDiameter * 1.2; + context.clearRect( xRandom, yRandom, Math.random() * 2 + 2, Math.random() + 1 ); + } + } + } + + function eraseWithSponge( context, x, y ) { + context.save(); + context.beginPath(); + context.arc( x, y, eraser.radius, 0, 2 * Math.PI, false ); + context.clip(); + context.clearRect( x - eraser.radius - 1, y - eraser.radius - 1, eraser.radius * 2 + 2, eraser.radius * 2 + 2 ); + context.restore(); + if ( mode == 1 && grid ) { + redrawGrid( x, y, eraser.radius ); + } + } + + + /** + * Show an overlay for the chalkboard. + */ + function showChalkboard() { +//console.log("showChalkboard"); + clearTimeout( touchTimeout ); + touchTimeout = null; + drawingCanvas[ 0 ].sponge.style.visibility = 'hidden'; // make sure that the sponge from touch events is hidden + drawingCanvas[ 1 ].sponge.style.visibility = 'hidden'; // make sure that the sponge from touch events is hidden + drawingCanvas[ 1 ].container.style.opacity = 1; + drawingCanvas[ 1 ].container.style.visibility = 'visible'; + mode = 1; + } + + + /** + * Closes open chalkboard. + */ + function closeChalkboard() { + clearTimeout( touchTimeout ); + touchTimeout = null; + drawingCanvas[ 0 ].sponge.style.visibility = 'hidden'; // make sure that the sponge from touch events is hidden + drawingCanvas[ 1 ].sponge.style.visibility = 'hidden'; // make sure that the sponge from touch events is hidden + drawingCanvas[ 1 ].container.style.opacity = 0; + drawingCanvas[ 1 ].container.style.visibility = 'hidden'; + lastX = null; + lastY = null; + mode = 0; + } + + /** + * Clear current canvas. + */ + function clearCanvas( id ) { + if ( id == 0 ) clearTimeout( slidechangeTimeout ); + drawingCanvas[ id ].context.clearRect( 0, 0, drawingCanvas[ id ].width, drawingCanvas[ id ].height ); + if ( id == 1 && grid ) drawGrid(); + } + + /** + * Draw grid on background + */ + function drawGrid() { + var context = drawingCanvas[ 1 ].context; + + drawingCanvas[ 1 ].scale = Math.min( drawingCanvas[ 1 ].width / storage[ 1 ].width, drawingCanvas[ 1 ].height / storage[ 1 ].height ); + drawingCanvas[ 1 ].xOffset = ( drawingCanvas[ 1 ].width - storage[ 1 ].width * drawingCanvas[ 1 ].scale ) / 2; + drawingCanvas[ 1 ].yOffset = ( drawingCanvas[ 1 ].height - storage[ 1 ].height * drawingCanvas[ 1 ].scale ) / 2; + + var scale = drawingCanvas[ 1 ].scale; + var xOffset = drawingCanvas[ 1 ].xOffset; + var yOffset = drawingCanvas[ 1 ].yOffset; + + var distance = grid.distance * scale; + + var fromX = drawingCanvas[ 1 ].width / 2 - distance / 2 - Math.floor( ( drawingCanvas[ 1 ].width - distance ) / 2 / distance ) * distance; + for ( var x = fromX; x < drawingCanvas[ 1 ].width; x += distance ) { + context.beginPath(); + context.lineWidth = grid.width * scale; + context.lineCap = 'round'; + context.fillStyle = grid.color; + context.strokeStyle = grid.color; + context.moveTo( x, 0 ); + context.lineTo( x, drawingCanvas[ 1 ].height ); + context.stroke(); + } + var fromY = drawingCanvas[ 1 ].height / 2 - distance / 2 - Math.floor( ( drawingCanvas[ 1 ].height - distance ) / 2 / distance ) * distance; + + for ( var y = fromY; y < drawingCanvas[ 1 ].height; y += distance ) { + context.beginPath(); + context.lineWidth = grid.width * scale; + context.lineCap = 'round'; + context.fillStyle = grid.color; + context.strokeStyle = grid.color; + context.moveTo( 0, y ); + context.lineTo( drawingCanvas[ 1 ].width, y ); + context.stroke(); + } + } + + function redrawGrid( centerX, centerY, diameter ) { + var context = drawingCanvas[ 1 ].context; + + drawingCanvas[ 1 ].scale = Math.min( drawingCanvas[ 1 ].width / storage[ 1 ].width, drawingCanvas[ 1 ].height / storage[ 1 ].height ); + drawingCanvas[ 1 ].xOffset = ( drawingCanvas[ 1 ].width - storage[ 1 ].width * drawingCanvas[ 1 ].scale ) / 2; + drawingCanvas[ 1 ].yOffset = ( drawingCanvas[ 1 ].height - storage[ 1 ].height * drawingCanvas[ 1 ].scale ) / 2; + + var scale = drawingCanvas[ 1 ].scale; + var xOffset = drawingCanvas[ 1 ].xOffset; + var yOffset = drawingCanvas[ 1 ].yOffset; + + var distance = grid.distance * scale; + + var fromX = drawingCanvas[ 1 ].width / 2 - distance / 2 - Math.floor( ( drawingCanvas[ 1 ].width - distance ) / 2 / distance ) * distance; + + for ( var x = fromX + distance * Math.ceil( ( centerX - diameter - fromX ) / distance ); x <= fromX + distance * Math.floor( ( centerX + diameter - fromX ) / distance ); x += distance ) { + context.beginPath(); + context.lineWidth = grid.width * scale; + context.lineCap = 'round'; + context.fillStyle = grid.color; + context.strokeStyle = grid.color; + context.moveTo( x, centerY - Math.sqrt( diameter * diameter - ( centerX - x ) * ( centerX - x ) ) ); + context.lineTo( x, centerY + Math.sqrt( diameter * diameter - ( centerX - x ) * ( centerX - x ) ) ); + context.stroke(); + } + var fromY = drawingCanvas[ 1 ].height / 2 - distance / 2 - Math.floor( ( drawingCanvas[ 1 ].height - distance ) / 2 / distance ) * distance; + for ( var y = fromY + distance * Math.ceil( ( centerY - diameter - fromY ) / distance ); y <= fromY + distance * Math.floor( ( centerY + diameter - fromY ) / distance ); y += distance ) { + context.beginPath(); + context.lineWidth = grid.width * scale; + context.lineCap = 'round'; + context.fillStyle = grid.color; + context.strokeStyle = grid.color; + context.moveTo( centerX - Math.sqrt( diameter * diameter - ( centerY - y ) * ( centerY - y ) ), y ); + context.lineTo( centerX + Math.sqrt( diameter * diameter - ( centerY - y ) * ( centerY - y ) ), y ); + context.stroke(); + } + } + + /** + * Set the color + */ + function setColor( index, record ) { + // protect against out of bounds (this could happen when + // replaying events recorded with different color settings). + if ( index >= pens[ mode ].length ) index = 0; + color[ mode ] = index; + drawingCanvas[ mode ].canvas.style.cursor = pens[ mode ][ color[ mode ] ].cursor; + } + + /** + * Set the board + */ + function selectBoard( boardIdx, record ) { +//console.log("Set board",boardIdx); + if ( board == boardIdx ) return; + + board = boardIdx; + redrawChalkboard( boardIdx ); + if ( record ) { + recordEvent( { type: 'selectboard' } ); + } + } + + function redrawChalkboard( boardIdx ) { + clearCanvas( 1 ); + var slideData = getSlideData( slideIndices, 1 ); + var index = 0; + var play = ( boardIdx == 0 ); + while ( index < slideData.events.length && slideData.events[ index ].time < Date.now() - slideStart ) { + if ( boardIdx == slideData.events[ index ].board ) { + playEvent( 1, slideData.events[ index ], Date.now() - slideStart ); + } + + index++; + } + } + + + /** + * Forward cycle color + */ + function cycleColorNext() { + color[ mode ] = ( color[ mode ] + 1 ) % pens[ mode ].length; + return color[ mode ]; + } + + /** + * Backward cycle color + */ + function cycleColorPrev() { + color[ mode ] = ( color[ mode ] + ( pens[ mode ].length - 1 ) ) % pens[ mode ].length; + return color[ mode ]; + } + +/***************************************************************** + ** Broadcast + ******************************************************************/ + + var eventQueue = []; + + document.addEventListener( 'received', function ( message ) { + if ( message.content && message.content.sender == 'chalkboard-plugin' ) { + // add message to queue + eventQueue.push( message ); + console.log( JSON.stringify( message ) ); + } + if ( eventQueue.length == 1 ) processQueue(); + } ); + + function processQueue() { + // take first message from queue + var message = eventQueue.shift(); + + // synchronize time with seminar host + slideStart = Date.now() - message.content.timestamp; + // set status + if ( mode < message.content.mode ) { + // open chalkboard + showChalkboard(); + } else if ( mode > message.content.mode ) { + // close chalkboard + closeChalkboard(); + } + if ( board != message.content.board ) { + board = message.content.board; + redrawChalkboard( board ); + }; + + switch ( message.content.type ) { + case 'showChalkboard': + showChalkboard(); + break; + case 'closeChalkboard': + closeChalkboard(); + break; + case 'erase': + erasePoint( message.content.x, message.content.y ); + break; + case 'draw': + drawSegment( message.content.fromX, message.content.fromY, message.content.toX, message.content.toY, message.content.color ); + break; + case 'clear': + clearSlide(); + break; + case 'selectboard': + selectBoard( message.content.board, true ); + break; + case 'resetSlide': + resetSlideDrawings(); + break; + case 'init': + storage = message.content.storage; + for ( var id = 0; id < 2; id++ ) { + drawingCanvas[ id ].scale = Math.min( drawingCanvas[ id ].width / storage[ id ].width, drawingCanvas[ id ].height / storage[ id ].height ); + drawingCanvas[ id ].xOffset = ( drawingCanvas[ id ].width - storage[ id ].width * drawingCanvas[ id ].scale ) / 2; + drawingCanvas[ id ].yOffset = ( drawingCanvas[ id ].height - storage[ id ].height * drawingCanvas[ id ].scale ) / 2; + } + clearCanvas( 0 ); + clearCanvas( 1 ); + if ( !playback ) { + slidechangeTimeout = setTimeout( startPlayback, transition, getSlideDuration(), 0 ); + } + if ( mode == 1 && message.content.mode == 0 ) { + setTimeout( closeChalkboard, transition + 50 ); + } + if ( mode == 0 && message.content.mode == 1 ) { + setTimeout( showChalkboard, transition + 50 ); + } + mode = message.content.mode; + board = message.content.board; + break; + default: + break; + } + + // continue with next message if queued + if ( eventQueue.length > 0 ) { + processQueue(); + } else { + storageChanged(); + } + } + + document.addEventListener( 'welcome', function ( user ) { + // broadcast storage + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + recipient: user.id, + type: 'init', + timestamp: Date.now() - slideStart, + storage: storage, + mode, + board + }; + document.dispatchEvent( message ); + } ); + + /***************************************************************** + ** Playback + ******************************************************************/ + + document.addEventListener( 'seekplayback', function ( event ) { +//console.log('event seekplayback ' + event.timestamp); + stopPlayback(); + if ( !playback || event.timestamp == 0 ) { + // in other cases startplayback fires after seeked + startPlayback( event.timestamp ); + } + //console.log('seeked'); + } ); + + + document.addEventListener( 'startplayback', function ( event ) { +//console.log('event startplayback ' + event.timestamp); + stopPlayback(); + playback = true; + startPlayback( event.timestamp ); + } ); + + document.addEventListener( 'stopplayback', function ( event ) { +//console.log('event stopplayback ' + (Date.now() - slideStart) ); + playback = false; + stopPlayback(); + } ); + + document.addEventListener( 'startrecording', function ( event ) { +//console.log('event startrecording ' + event.timestamp); + startRecording(); + } ); + + + function startRecording() { + resetSlide( true ); + slideStart = Date.now(); + } + + function startPlayback( timestamp, finalMode ) { +//console.log("playback " + timestamp ); + slideStart = Date.now() - timestamp; + closeChalkboard(); + mode = 0; + board = 0; + for ( var id = 0; id < 2; id++ ) { + clearCanvas( id ); + var slideData = getSlideData( slideIndices, id ); +//console.log( timestamp +" / " + JSON.stringify(slideData)); + var index = 0; + while ( index < slideData.events.length && slideData.events[ index ].time < ( Date.now() - slideStart ) ) { + playEvent( id, slideData.events[ index ], timestamp ); + index++; + } + + while ( playback && index < slideData.events.length ) { + timeouts[ id ].push( setTimeout( playEvent, slideData.events[ index ].time - ( Date.now() - slideStart ), id, slideData.events[ index ], timestamp ) ); + index++; + } + } +//console.log("Mode: " + finalMode + "/" + mode ); + if ( finalMode != undefined ) { + mode = finalMode; + } + if ( mode == 1 ) showChalkboard(); +//console.log("playback (ok)"); + + }; + + function stopPlayback() { +//console.log("stopPlayback"); +//console.log("Timeouts: " + timeouts[0].length + "/"+ timeouts[1].length); + for ( var id = 0; id < 2; id++ ) { + for ( var i = 0; i < timeouts[ id ].length; i++ ) { + clearTimeout( timeouts[ id ][ i ] ); + } + timeouts[ id ] = []; + } + }; + + function playEvent( id, event, timestamp ) { +//console.log( timestamp +" / " + JSON.stringify(event)); +//console.log( id + ": " + timestamp +" / " + event.time +" / " + event.type +" / " + mode ); + switch ( event.type ) { + case 'open': + if ( timestamp <= event.time ) { + showChalkboard(); + } else { + mode = 1; + } + + break; + case 'close': + if ( timestamp < event.time ) { + closeChalkboard(); + } else { + mode = 0; + } + break; + case 'clear': + clearCanvas( id ); + break; + case 'selectboard': + selectBoard( event.board ); + break; + case 'draw': + drawLine( id, event, timestamp ); + break; + case 'erase': + eraseCircle( id, event, timestamp ); + break; + } + }; + + function drawLine( id, event, timestamp ) { + var ctx = drawingCanvas[ id ].context; + var scale = drawingCanvas[ id ].scale; + var xOffset = drawingCanvas[ id ].xOffset; + var yOffset = drawingCanvas[ id ].yOffset; + draw[ id ]( ctx, xOffset + event.x1 * scale, yOffset + event.y1 * scale, xOffset + event.x2 * scale, yOffset + event.y2 * scale, event.color ); + }; + + function eraseCircle( id, event, timestamp ) { + var ctx = drawingCanvas[ id ].context; + var scale = drawingCanvas[ id ].scale; + var xOffset = drawingCanvas[ id ].xOffset; + var yOffset = drawingCanvas[ id ].yOffset; + + eraseWithSponge( ctx, xOffset + event.x * scale, yOffset + event.y * scale ); + }; + + function startErasing( x, y ) { + drawing = false; + erasing = true; + drawingCanvas[ mode ].sponge.style.visibility = 'visible'; + erasePoint( x, y ); + } + + function erasePoint( x, y ) { + var ctx = drawingCanvas[ mode ].context; + var scale = drawingCanvas[ mode ].scale; + var xOffset = drawingCanvas[ mode ].xOffset; + var yOffset = drawingCanvas[ mode ].yOffset; + + // move sponge image + drawingCanvas[ mode ].sponge.style.left = ( x * scale + xOffset - eraser.radius ) + 'px'; + drawingCanvas[ mode ].sponge.style.top = ( y * scale + yOffset - 2 * eraser.radius ) + 'px'; + + recordEvent( { + type: 'erase', + x, + y + } ); + + if ( + x * scale + xOffset > 0 && + y * scale + yOffset > 0 && + x * scale + xOffset < drawingCanvas[ mode ].width && + y * scale + yOffset < drawingCanvas[ mode ].height + ) { + eraseWithSponge( ctx, x * scale + xOffset, y * scale + yOffset ); + } + } + + function stopErasing() { + erasing = false; + // hide sponge + drawingCanvas[ mode ].sponge.style.visibility = 'hidden'; + } + + function startDrawing( x, y ) { + drawing = true; + + var ctx = drawingCanvas[ mode ].context; + var scale = drawingCanvas[ mode ].scale; + var xOffset = drawingCanvas[ mode ].xOffset; + var yOffset = drawingCanvas[ mode ].yOffset; + lastX = x * scale + xOffset; + lastY = y * scale + yOffset; + } + + function drawSegment( fromX, fromY, toX, toY, colorIdx ) { + var ctx = drawingCanvas[ mode ].context; + var scale = drawingCanvas[ mode ].scale; + var xOffset = drawingCanvas[ mode ].xOffset; + var yOffset = drawingCanvas[ mode ].yOffset; + + recordEvent( { + type: 'draw', + color: colorIdx, + x1: fromX, + y1: fromY, + x2: toX, + y2: toY + } ); + + if ( + fromX * scale + xOffset > 0 && + fromY * scale + yOffset > 0 && + fromX * scale + xOffset < drawingCanvas[ mode ].width && + fromY * scale + yOffset < drawingCanvas[ mode ].height && + toX * scale + xOffset > 0 && + toY * scale + yOffset > 0 && + toX * scale + xOffset < drawingCanvas[ mode ].width && + toY * scale + yOffset < drawingCanvas[ mode ].height + ) { + draw[ mode ]( ctx, fromX * scale + xOffset, fromY * scale + yOffset, toX * scale + xOffset, toY * scale + yOffset, colorIdx ); + } + } + + function stopDrawing() { + drawing = false; + } + + +/***************************************************************** + ** User interface + ******************************************************************/ + + function setupCanvasEvents( canvas ) { +// TODO: check all touchevents + canvas.addEventListener( 'touchstart', function ( evt ) { + evt.preventDefault(); +//console.log("Touch start"); + if ( !readOnly && evt.target.getAttribute( 'data-chalkboard' ) == mode ) { + var scale = drawingCanvas[ mode ].scale; + var xOffset = drawingCanvas[ mode ].xOffset; + var yOffset = drawingCanvas[ mode ].yOffset; + + var touch = evt.touches[ 0 ]; + mouseX = touch.pageX; + mouseY = touch.pageY; + startDrawing( ( mouseX - xOffset ) / scale, ( mouseY - yOffset ) / scale ); + touchTimeout = setTimeout( startErasing, 500, ( mouseX - xOffset ) / scale, ( mouseY - yOffset ) / scale ); + } + }, passiveSupported ? { + passive: false + } : false ); + + canvas.addEventListener( 'touchmove', function ( evt ) { + evt.preventDefault(); +//console.log("Touch move"); + clearTimeout( touchTimeout ); + touchTimeout = null; + if ( drawing || erasing ) { + var scale = drawingCanvas[ mode ].scale; + var xOffset = drawingCanvas[ mode ].xOffset; + var yOffset = drawingCanvas[ mode ].yOffset; + + var touch = evt.touches[ 0 ]; + mouseX = touch.pageX; + mouseY = touch.pageY; + if ( mouseY < drawingCanvas[ mode ].height && mouseX < drawingCanvas[ mode ].width ) { + // move sponge + if ( event.type == 'erase' ) { + drawingCanvas[ mode ].sponge.style.left = ( mouseX - eraser.radius ) + 'px'; + drawingCanvas[ mode ].sponge.style.top = ( mouseY - eraser.radius ) + 'px'; + } + } + + if ( drawing ) { + drawSegment( ( lastX - xOffset ) / scale, ( lastY - yOffset ) / scale, ( mouseX - xOffset ) / scale, ( mouseY - yOffset ) / scale, color[ mode ] ); + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'draw', + timestamp: Date.now() - slideStart, + mode, + board, + fromX: ( lastX - xOffset ) / scale, + fromY: ( lastY - yOffset ) / scale, + toX: ( mouseX - xOffset ) / scale, + toY: ( mouseY - yOffset ) / scale, + color: color[ mode ] + }; + document.dispatchEvent( message ); + + lastX = mouseX; + lastY = mouseY; + } else { + erasePoint( ( mouseX - xOffset ) / scale, ( mouseY - yOffset ) / scale ); + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'erase', + timestamp: Date.now() - slideStart, + mode, + board, + x: ( mouseX - xOffset ) / scale, + y: ( mouseY - yOffset ) / scale + }; + document.dispatchEvent( message ); + } + + } + }, false ); + + + canvas.addEventListener( 'touchend', function ( evt ) { + evt.preventDefault(); + clearTimeout( touchTimeout ); + touchTimeout = null; + // hide sponge image + drawingCanvas[ mode ].sponge.style.visibility = 'hidden'; + stopDrawing(); + }, false ); + + canvas.addEventListener( 'mousedown', function ( evt ) { + evt.preventDefault(); + if ( !readOnly && evt.target.getAttribute( 'data-chalkboard' ) == mode ) { +//console.log( "mousedown: " + evt.button ); + var scale = drawingCanvas[ mode ].scale; + var xOffset = drawingCanvas[ mode ].xOffset; + var yOffset = drawingCanvas[ mode ].yOffset; + + mouseX = evt.pageX; + mouseY = evt.pageY; + + if ( evt.button == 2 || evt.button == 1 ) { + startErasing( ( mouseX - xOffset ) / scale, ( mouseY - yOffset ) / scale ); + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'erase', + timestamp: Date.now() - slideStart, + mode, + board, + x: ( mouseX - xOffset ) / scale, + y: ( mouseY - yOffset ) / scale + }; + document.dispatchEvent( message ); + } else { + startDrawing( ( mouseX - xOffset ) / scale, ( mouseY - yOffset ) / scale ); + } + } + } ); + + canvas.addEventListener( 'mousemove', function ( evt ) { + evt.preventDefault(); +//console.log("Mouse move"); + if ( drawing || erasing ) { + var scale = drawingCanvas[ mode ].scale; + var xOffset = drawingCanvas[ mode ].xOffset; + var yOffset = drawingCanvas[ mode ].yOffset; + + mouseX = evt.pageX; + mouseY = evt.pageY; + + if ( drawing ) { + drawSegment( ( lastX - xOffset ) / scale, ( lastY - yOffset ) / scale, ( mouseX - xOffset ) / scale, ( mouseY - yOffset ) / scale, color[ mode ] ); + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'draw', + timestamp: Date.now() - slideStart, + mode, + board, + fromX: ( lastX - xOffset ) / scale, + fromY: ( lastY - yOffset ) / scale, + toX: ( mouseX - xOffset ) / scale, + toY: ( mouseY - yOffset ) / scale, + color: color[ mode ] + }; + document.dispatchEvent( message ); + + lastX = mouseX; + lastY = mouseY; + } else { + erasePoint( ( mouseX - xOffset ) / scale, ( mouseY - yOffset ) / scale ); + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'erase', + timestamp: Date.now() - slideStart, + mode, + board, + x: ( mouseX - xOffset ) / scale, + y: ( mouseY - yOffset ) / scale + }; + document.dispatchEvent( message ); + } + + } + } ); + + + canvas.addEventListener( 'mouseup', function ( evt ) { + evt.preventDefault(); + drawingCanvas[ mode ].canvas.style.cursor = pens[ mode ][ color[ mode ] ].cursor; + if ( drawing || erasing ) { + stopDrawing(); + stopErasing(); + } + } ); + } + + function resize() { +//console.log("resize"); + // Resize the canvas and draw everything again + var timestamp = Date.now() - slideStart; + if ( !playback ) { + timestamp = getSlideDuration(); + } + +//console.log( drawingCanvas[0].scale + "/" + drawingCanvas[0].xOffset + "/" +drawingCanvas[0].yOffset ); + for ( var id = 0; id < 2; id++ ) { + drawingCanvas[ id ].width = window.innerWidth; + drawingCanvas[ id ].height = window.innerHeight; + drawingCanvas[ id ].canvas.width = drawingCanvas[ id ].width; + drawingCanvas[ id ].canvas.height = drawingCanvas[ id ].height; + drawingCanvas[ id ].context.canvas.width = drawingCanvas[ id ].width; + drawingCanvas[ id ].context.canvas.height = drawingCanvas[ id ].height; + + drawingCanvas[ id ].scale = Math.min( drawingCanvas[ id ].width / storage[ id ].width, drawingCanvas[ id ].height / storage[ id ].height ); + drawingCanvas[ id ].xOffset = ( drawingCanvas[ id ].width - storage[ id ].width * drawingCanvas[ id ].scale ) / 2; + drawingCanvas[ id ].yOffset = ( drawingCanvas[ id ].height - storage[ id ].height * drawingCanvas[ id ].scale ) / 2; +//console.log( drawingCanvas[id].scale + "/" + drawingCanvas[id].xOffset + "/" +drawingCanvas[id].yOffset ); + } +//console.log( window.innerWidth + "/" + window.innerHeight); + startPlayback( timestamp, mode, true ); + } + + Reveal.addEventListener( 'pdf-ready', function ( evt ) { +// console.log( "Create printouts when ready" ); + whenLoaded( createPrintout ); + }); + + Reveal.addEventListener( 'ready', function ( evt ) { +//console.log('ready'); + if ( !printMode ) { + window.addEventListener( 'resize', resize ); + + slideStart = Date.now() - getSlideDuration(); + slideIndices = Reveal.getIndices(); + if ( !playback ) { + startPlayback( getSlideDuration(), 0 ); + } + if ( Reveal.isAutoSliding() ) { + var event = new CustomEvent( 'startplayback' ); + event.timestamp = 0; + document.dispatchEvent( event ); + } + updateStorage(); + whenReady( addPageNumbers ); + } + } ); + Reveal.addEventListener( 'slidechanged', function ( evt ) { +// clearTimeout( slidechangeTimeout ); +//console.log('slidechanged'); + if ( !printMode ) { + slideStart = Date.now() - getSlideDuration(); + slideIndices = Reveal.getIndices(); + closeChalkboard(); + board = 0; + clearCanvas( 0 ); + clearCanvas( 1 ); + if ( !playback ) { + slidechangeTimeout = setTimeout( startPlayback, transition, getSlideDuration(), 0 ); + } + if ( Reveal.isAutoSliding() ) { + var event = new CustomEvent( 'startplayback' ); + event.timestamp = 0; + document.dispatchEvent( event ); + } + } + } ); + Reveal.addEventListener( 'fragmentshown', function ( evt ) { +// clearTimeout( slidechangeTimeout ); +//console.log('fragmentshown'); + if ( !printMode ) { + slideStart = Date.now() - getSlideDuration(); + slideIndices = Reveal.getIndices(); + closeChalkboard(); + board = 0; + clearCanvas( 0 ); + clearCanvas( 1 ); + if ( Reveal.isAutoSliding() ) { + var event = new CustomEvent( 'startplayback' ); + event.timestamp = 0; + document.dispatchEvent( event ); + } else if ( !playback ) { + startPlayback( getSlideDuration(), 0 ); +// closeChalkboard(); + } + } + } ); + Reveal.addEventListener( 'fragmenthidden', function ( evt ) { +// clearTimeout( slidechangeTimeout ); +//console.log('fragmenthidden'); + if ( !printMode ) { + slideStart = Date.now() - getSlideDuration(); + slideIndices = Reveal.getIndices(); + closeChalkboard(); + board = 0; + clearCanvas( 0 ); + clearCanvas( 1 ); + if ( Reveal.isAutoSliding() ) { + document.dispatchEvent( new CustomEvent( 'stopplayback' ) ); + } else if ( !playback ) { + startPlayback( getSlideDuration() ); + closeChalkboard(); + } + } + } ); + + Reveal.addEventListener( 'autoslideresumed', function ( evt ) { +//console.log('autoslideresumed'); + var event = new CustomEvent( 'startplayback' ); + event.timestamp = 0; + document.dispatchEvent( event ); + } ); + Reveal.addEventListener( 'autoslidepaused', function ( evt ) { +//console.log('autoslidepaused'); + document.dispatchEvent( new CustomEvent( 'stopplayback' ) ); + + // advance to end of slide +// closeChalkboard(); + startPlayback( getSlideDuration(), 0 ); + } ); + + function toggleNotesCanvas() { + if ( !readOnly ) { + if ( mode == 1 ) { + toggleChalkboard(); + notescanvas.style.background = background[ 0 ]; //'rgba(255,0,0,0.5)'; + notescanvas.style.pointerEvents = 'auto'; + } + else { + if ( notescanvas.style.pointerEvents != 'none' ) { + // hide notes canvas + if ( colorButtons ) { + notescanvas.querySelector( '.palette' ).style.visibility = 'hidden'; + } + notescanvas.style.background = 'rgba(0,0,0,0)'; + notescanvas.style.pointerEvents = 'none'; + } + else { + // show notes canvas + if ( colorButtons ) { + notescanvas.querySelector( '.palette' ).style.visibility = 'visible'; + } + notescanvas.style.background = background[ 0 ]; //'rgba(255,0,0,0.5)'; + notescanvas.style.pointerEvents = 'auto'; + + var idx = 0; + if ( color[ mode ] ) { + idx = color[ mode ]; + } + + setColor( idx, true ); + } + } + } + }; + + function toggleChalkboard() { +//console.log("toggleChalkboard " + mode); + if ( mode == 1 ) { + if ( !readOnly ) { + recordEvent( { type: 'close' } ); + } + closeChalkboard(); + + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'closeChalkboard', + timestamp: Date.now() - slideStart, + mode: 0, + board + }; + document.dispatchEvent( message ); + + + } else { + showChalkboard(); + if ( !readOnly ) { + recordEvent( { type: 'open' } ); + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'showChalkboard', + timestamp: Date.now() - slideStart, + mode: 1, + board + }; + document.dispatchEvent( message ); + + var idx = 0; + + if ( rememberColor[ mode ] ) { + idx = color[ mode ]; + } + + setColor( idx, true ); + } + } + }; + + function clearSlide() { + recordEvent( { type: 'clear' } ); + clearCanvas( mode ); + } + + function clear() { + if ( !readOnly ) { + clearSlide(); + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'clear', + timestamp: Date.now() - slideStart, + mode, + board + }; + document.dispatchEvent( message ); + } + }; + + function colorIndex( idx ) { + if ( !readOnly ) { + setColor( idx, true ); + } + } + + function colorNext() { + if ( !readOnly ) { + let idx = cycleColorNext(); + setColor( idx, true ); + } + } + + function colorPrev() { + if ( !readOnly ) { + let idx = cycleColorPrev(); + setColor( idx, true ); + } + } + + function resetSlideDrawings() { + slideStart = Date.now(); + closeChalkboard(); + + clearCanvas( 0 ); + clearCanvas( 1 ); + + mode = 1; + var slideData = getSlideData(); + slideData.duration = 0; + slideData.events = []; + mode = 0; + var slideData = getSlideData(); + slideData.duration = 0; + slideData.events = []; + + updateStorage(); + } + + function resetSlide( force ) { + var ok = force || confirm( "Please confirm to delete chalkboard drawings on this slide!" ); + if ( ok ) { +//console.log("resetSlide "); + stopPlayback(); + resetSlideDrawings(); + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'resetSlide', + timestamp: Date.now() - slideStart, + mode, + board + }; + document.dispatchEvent( message ); + } + }; + + function resetStorage( force ) { + var ok = force || confirm( "Please confirm to delete all chalkboard drawings!" ); + if ( ok ) { + stopPlayback(); + slideStart = Date.now(); + clearCanvas( 0 ); + clearCanvas( 1 ); + if ( mode == 1 ) { + closeChalkboard(); + } + + storage = [ { + width: Reveal.getConfig().width, + height: Reveal.getConfig().height, + data: [] + }, + { + width: Reveal.getConfig().width, + height: Reveal.getConfig().height, + data: [] + } + ]; + + if ( config.storage ) { + sessionStorage.setItem( config.storage, null ) + } + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'init', + timestamp: Date.now() - slideStart, + storage, + mode, + board + }; + document.dispatchEvent( message ); + } + }; + + this.toggleNotesCanvas = toggleNotesCanvas; + this.toggleChalkboard = toggleChalkboard; + this.colorIndex = colorIndex; + this.colorNext = colorNext; + this.colorPrev = colorPrev; + this.clear = clear; + this.reset = resetSlide; + this.resetAll = resetStorage; + this.download = downloadData; + this.updateStorage = updateStorage; + this.getData = getData; + this.configure = configure; + + + for ( var key in keyBindings ) { + if ( keyBindings[ key ] ) { + Reveal.addKeyBinding( keyBindings[ key ], RevealChalkboard[ key ] ); + } + }; + + return this; +}; diff --git a/_freeze/site_libs/revealjs/plugin/reveal-chalkboard/plugin.yml b/_freeze/site_libs/revealjs/plugin/reveal-chalkboard/plugin.yml new file mode 100644 index 0000000..b0568c2 --- /dev/null +++ b/_freeze/site_libs/revealjs/plugin/reveal-chalkboard/plugin.yml @@ -0,0 +1,7 @@ +name: RevealChalkboard +script: plugin.js +stylesheet: ["font-awesome/css/all.css", "style.css"] +self-contained: false +config: + chalkboard: + buttons: true diff --git a/_freeze/site_libs/revealjs/plugin/reveal-chalkboard/style.css b/_freeze/site_libs/revealjs/plugin/reveal-chalkboard/style.css new file mode 100644 index 0000000..08765e7 --- /dev/null +++ b/_freeze/site_libs/revealjs/plugin/reveal-chalkboard/style.css @@ -0,0 +1,44 @@ +div.palette, div.boardhandle { + position: absolute; +/* + height: 260px; + margin: -130px 0 0 0px; +*/ + top: 50%; + transform: translateY(-50%); + font-size: 24px; + border-radius: 10px; + border-top: 4px solid #222; + border-right: 4px solid #222; + border-bottom: 4px solid #222; + background: black; + transition: transform 0.3s; +} + +div.palette { + left: -10px; + padding-left:10px; +} + +div.boardhandle { + right: -10px; + padding-right:10px; +} + +div.palette > ul, +div.boardhandle > ul { + list-style-type: none; + margin: 0; + padding: 0; +} + +div.palette > ul > li, +div.boardhandle > ul > li { + margin: 10px; +} + +@media print { + div.palette, div.boardhandle, .chalkboard-button { + display: none!important; + } +} diff --git a/_freeze/slides/aesthetic-mappings/execute-results/html.json b/_freeze/slides/aesthetic-mappings/execute-results/html.json index 0f15730..2f562cb 100644 --- a/_freeze/slides/aesthetic-mappings/execute-results/html.json +++ b/_freeze/slides/aesthetic-mappings/execute-results/html.json @@ -1,8 +1,8 @@ { - "hash": "ac99d2cb27507b33be20c5c5e2606f4c", + "hash": "5da3fde54b559b35a91eb104d2f0930a", "result": { "engine": "knitr", - "markdown": "---\ntitle: \"Aesthetic mappings\"\nauthor: \"Claus O. Wilke\"\nformat: \n revealjs:\n theme:\n - default\n - Wilke-theme.scss\n auto-stretch: false\nexecute:\n fig-format: svg\n fig-asp: 0.618\n fig-width: 5.5\n---\n\n\n\n\n\n\n# Plots map data onto graphical elements\n\n## Dataset:
Daily average temperatures for various locations {.scrollable}\n\n::: {.tiny-font}\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n`````{=html}\n\n \n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n
location day_of_year month temperature
Death Valley 1 01 51.0
Death Valley 2 01 51.2
Death Valley 3 01 51.3
Death Valley 4 01 51.4
Death Valley 5 01 51.6
Death Valley 6 01 51.7
Death Valley 7 01 51.9
Death Valley 8 01 52.0
Death Valley 9 01 52.2
Death Valley 10 01 52.3
Death Valley 11 01 52.5
Death Valley 12 01 52.7
Death Valley 13 01 52.9
Death Valley 14 01 53.0
Death Valley 15 01 53.2
Death Valley 16 01 53.4
Death Valley 17 01 53.6
Death Valley 18 01 53.7
Death Valley 19 01 53.9
Death Valley 20 01 54.1
Death Valley 21 01 54.3
Death Valley 22 01 54.5
Death Valley 23 01 54.6
Death Valley 24 01 54.8
Death Valley 25 01 55.0
Death Valley 26 01 55.2
Death Valley 27 01 55.4
Death Valley 28 01 55.6
Death Valley 29 01 55.8
Death Valley 30 01 56.0
Death Valley 31 01 56.2
Death Valley 32 02 56.4
Death Valley 33 02 56.6
Death Valley 34 02 56.8
Death Valley 35 02 57.0
Death Valley 36 02 57.2
Death Valley 37 02 57.5
Death Valley 38 02 57.7
Death Valley 39 02 57.9
Death Valley 40 02 58.2
Death Valley 41 02 58.4
Death Valley 42 02 58.7
Death Valley 43 02 58.9
Death Valley 44 02 59.2
Death Valley 45 02 59.5
Death Valley 46 02 59.8
Death Valley 47 02 60.1
Death Valley 48 02 60.3
Death Valley 49 02 60.6
Death Valley 50 02 60.9
Death Valley 51 02 61.2
Death Valley 52 02 61.6
Death Valley 53 02 61.9
Death Valley 54 02 62.2
Death Valley 55 02 62.5
Death Valley 56 02 62.8
Death Valley 57 02 63.2
Death Valley 58 02 63.5
Death Valley 59 02 63.8
Death Valley 60 02 64.0
Death Valley 61 03 64.1
Death Valley 62 03 64.5
Death Valley 63 03 64.8
Death Valley 64 03 65.1
Death Valley 65 03 65.4
Death Valley 66 03 65.7
Death Valley 67 03 66.0
Death Valley 68 03 66.3
Death Valley 69 03 66.7
Death Valley 70 03 67.0
Death Valley 71 03 67.2
Death Valley 72 03 67.5
Death Valley 73 03 67.8
Death Valley 74 03 68.1
Death Valley 75 03 68.4
Death Valley 76 03 68.6
Death Valley 77 03 68.9
Death Valley 78 03 69.2
Death Valley 79 03 69.4
Death Valley 80 03 69.7
Death Valley 81 03 69.9
Death Valley 82 03 70.1
Death Valley 83 03 70.4
Death Valley 84 03 70.6
Death Valley 85 03 70.8
Death Valley 86 03 71.1
Death Valley 87 03 71.3
Death Valley 88 03 71.5
Death Valley 89 03 71.7
Death Valley 90 03 71.9
Death Valley 91 03 72.2
Death Valley 92 04 72.4
Death Valley 93 04 72.6
Death Valley 94 04 72.8
Death Valley 95 04 73.1
Death Valley 96 04 73.3
Death Valley 97 04 73.5
Death Valley 98 04 73.8
Death Valley 99 04 74.0
Death Valley 100 04 74.3
Death Valley 101 04 74.5
Death Valley 102 04 74.8
Death Valley 103 04 75.1
Death Valley 104 04 75.3
Death Valley 105 04 75.6
Death Valley 106 04 75.9
Death Valley 107 04 76.2
Death Valley 108 04 76.5
Death Valley 109 04 76.8
Death Valley 110 04 77.1
Death Valley 111 04 77.5
Death Valley 112 04 77.8
Death Valley 113 04 78.1
Death Valley 114 04 78.5
Death Valley 115 04 78.8
Death Valley 116 04 79.2
Death Valley 117 04 79.5
Death Valley 118 04 79.9
Death Valley 119 04 80.3
Death Valley 120 04 80.6
Death Valley 121 04 81.0
Death Valley 122 05 81.4
Death Valley 123 05 81.7
Death Valley 124 05 82.1
Death Valley 125 05 82.5
Death Valley 126 05 82.9
Death Valley 127 05 83.2
Death Valley 128 05 83.6
Death Valley 129 05 84.0
Death Valley 130 05 84.3
Death Valley 131 05 84.7
Death Valley 132 05 85.1
Death Valley 133 05 85.4
Death Valley 134 05 85.8
Death Valley 135 05 86.1
Death Valley 136 05 86.4
Death Valley 137 05 86.8
Death Valley 138 05 87.1
Death Valley 139 05 87.4
Death Valley 140 05 87.8
Death Valley 141 05 88.1
Death Valley 142 05 88.4
Death Valley 143 05 88.7
Death Valley 144 05 89.0
Death Valley 145 05 89.3
Death Valley 146 05 89.6
Death Valley 147 05 89.9
Death Valley 148 05 90.1
Death Valley 149 05 90.4
Death Valley 150 05 90.7
Death Valley 151 05 91.0
Death Valley 152 05 91.3
Death Valley 153 06 91.5
Death Valley 154 06 91.8
Death Valley 155 06 92.1
Death Valley 156 06 92.3
Death Valley 157 06 92.6
Death Valley 158 06 92.9
Death Valley 159 06 93.1
Death Valley 160 06 93.4
Death Valley 161 06 93.7
Death Valley 162 06 94.0
Death Valley 163 06 94.2
Death Valley 164 06 94.5
Death Valley 165 06 94.8
Death Valley 166 06 95.1
Death Valley 167 06 95.4
Death Valley 168 06 95.7
Death Valley 169 06 95.9
Death Valley 170 06 96.2
Death Valley 171 06 96.5
Death Valley 172 06 96.8
Death Valley 173 06 97.1
Death Valley 174 06 97.4
Death Valley 175 06 97.7
Death Valley 176 06 98.0
Death Valley 177 06 98.3
Death Valley 178 06 98.5
Death Valley 179 06 98.8
Death Valley 180 06 99.1
Death Valley 181 06 99.4
Death Valley 182 06 99.6
Death Valley 183 07 99.9
Death Valley 184 07 100.2
Death Valley 185 07 100.4
Death Valley 186 07 100.6
Death Valley 187 07 100.9
Death Valley 188 07 101.1
Death Valley 189 07 101.3
Death Valley 190 07 101.5
Death Valley 191 07 101.7
Death Valley 192 07 101.9
Death Valley 193 07 102.1
Death Valley 194 07 102.2
Death Valley 195 07 102.4
Death Valley 196 07 102.5
Death Valley 197 07 102.6
Death Valley 198 07 102.8
Death Valley 199 07 102.9
Death Valley 200 07 102.9
Death Valley 201 07 103.0
Death Valley 202 07 103.1
Death Valley 203 07 103.1
Death Valley 204 07 103.1
Death Valley 205 07 103.1
Death Valley 206 07 103.2
Death Valley 207 07 103.1
Death Valley 208 07 103.1
Death Valley 209 07 103.1
Death Valley 210 07 103.0
Death Valley 211 07 103.0
Death Valley 212 07 102.9
Death Valley 213 07 102.8
Death Valley 214 08 102.7
Death Valley 215 08 102.6
Death Valley 216 08 102.5
Death Valley 217 08 102.4
Death Valley 218 08 102.3
Death Valley 219 08 102.2
Death Valley 220 08 102.0
Death Valley 221 08 101.9
Death Valley 222 08 101.7
Death Valley 223 08 101.5
Death Valley 224 08 101.4
Death Valley 225 08 101.2
Death Valley 226 08 101.0
Death Valley 227 08 100.8
Death Valley 228 08 100.6
Death Valley 229 08 100.4
Death Valley 230 08 100.2
Death Valley 231 08 100.0
Death Valley 232 08 99.8
Death Valley 233 08 99.6
Death Valley 234 08 99.4
Death Valley 235 08 99.1
Death Valley 236 08 98.9
Death Valley 237 08 98.6
Death Valley 238 08 98.4
Death Valley 239 08 98.1
Death Valley 240 08 97.9
Death Valley 241 08 97.6
Death Valley 242 08 97.3
Death Valley 243 08 97.1
Death Valley 244 08 96.8
Death Valley 245 09 96.5
Death Valley 246 09 96.2
Death Valley 247 09 95.9
Death Valley 248 09 95.6
Death Valley 249 09 95.2
Death Valley 250 09 94.9
Death Valley 251 09 94.6
Death Valley 252 09 94.2
Death Valley 253 09 93.8
Death Valley 254 09 93.5
Death Valley 255 09 93.1
Death Valley 256 09 92.7
Death Valley 257 09 92.3
Death Valley 258 09 91.9
Death Valley 259 09 91.5
Death Valley 260 09 91.1
Death Valley 261 09 90.7
Death Valley 262 09 90.3
Death Valley 263 09 89.8
Death Valley 264 09 89.4
Death Valley 265 09 88.9
Death Valley 266 09 88.5
Death Valley 267 09 88.0
Death Valley 268 09 87.6
Death Valley 269 09 87.1
Death Valley 270 09 86.6
Death Valley 271 09 86.1
Death Valley 272 09 85.7
Death Valley 273 09 85.2
Death Valley 274 09 84.7
Death Valley 275 10 84.2
Death Valley 276 10 83.7
Death Valley 277 10 83.3
Death Valley 278 10 82.8
Death Valley 279 10 82.3
Death Valley 280 10 81.8
Death Valley 281 10 81.3
Death Valley 282 10 80.9
Death Valley 283 10 80.4
Death Valley 284 10 79.9
Death Valley 285 10 79.4
Death Valley 286 10 79.0
Death Valley 287 10 78.5
Death Valley 288 10 78.0
Death Valley 289 10 77.6
Death Valley 290 10 77.1
Death Valley 291 10 76.6
Death Valley 292 10 76.2
Death Valley 293 10 75.7
Death Valley 294 10 75.3
Death Valley 295 10 74.8
Death Valley 296 10 74.3
Death Valley 297 10 73.9
Death Valley 298 10 73.4
Death Valley 299 10 73.0
Death Valley 300 10 72.5
Death Valley 301 10 72.1
Death Valley 302 10 71.6
Death Valley 303 10 71.1
Death Valley 304 10 70.7
Death Valley 305 10 70.2
Death Valley 306 11 69.7
Death Valley 307 11 69.3
Death Valley 308 11 68.8
Death Valley 309 11 68.3
Death Valley 310 11 67.8
Death Valley 311 11 67.3
Death Valley 312 11 66.9
Death Valley 313 11 66.4
Death Valley 314 11 65.9
Death Valley 315 11 65.4
Death Valley 316 11 64.9
Death Valley 317 11 64.4
Death Valley 318 11 63.9
Death Valley 319 11 63.3
Death Valley 320 11 62.8
Death Valley 321 11 62.3
Death Valley 322 11 61.8
Death Valley 323 11 61.3
Death Valley 324 11 60.8
Death Valley 325 11 60.3
Death Valley 326 11 59.8
Death Valley 327 11 59.3
Death Valley 328 11 58.8
Death Valley 329 11 58.3
Death Valley 330 11 57.9
Death Valley 331 11 57.4
Death Valley 332 11 56.9
Death Valley 333 11 56.5
Death Valley 334 11 56.0
Death Valley 335 11 55.6
Death Valley 336 12 55.2
Death Valley 337 12 54.8
Death Valley 338 12 54.4
Death Valley 339 12 54.0
Death Valley 340 12 53.7
Death Valley 341 12 53.3
Death Valley 342 12 53.0
Death Valley 343 12 52.7
Death Valley 344 12 52.4
Death Valley 345 12 52.2
Death Valley 346 12 51.9
Death Valley 347 12 51.7
Death Valley 348 12 51.5
Death Valley 349 12 51.3
Death Valley 350 12 51.1
Death Valley 351 12 51.0
Death Valley 352 12 50.9
Death Valley 353 12 50.8
Death Valley 354 12 50.7
Death Valley 355 12 50.6
Death Valley 356 12 50.6
Death Valley 357 12 50.5
Death Valley 358 12 50.5
Death Valley 359 12 50.5
Death Valley 360 12 50.5
Death Valley 361 12 50.6
Death Valley 362 12 50.6
Death Valley 363 12 50.7
Death Valley 364 12 50.8
Death Valley 365 12 50.8
Death Valley 366 12 50.9
Houston 1 01 53.9
Houston 2 01 53.8
Houston 3 01 53.8
Houston 4 01 53.8
Houston 5 01 53.8
Houston 6 01 53.7
Houston 7 01 53.7
Houston 8 01 53.7
Houston 9 01 53.7
Houston 10 01 53.7
Houston 11 01 53.7
Houston 12 01 53.8
Houston 13 01 53.8
Houston 14 01 53.8
Houston 15 01 53.8
Houston 16 01 53.9
Houston 17 01 53.9
Houston 18 01 53.9
Houston 19 01 54.0
Houston 20 01 54.0
Houston 21 01 54.1
Houston 22 01 54.2
Houston 23 01 54.2
Houston 24 01 54.3
Houston 25 01 54.4
Houston 26 01 54.4
Houston 27 01 54.5
Houston 28 01 54.6
Houston 29 01 54.7
Houston 30 01 54.8
Houston 31 01 54.9
Houston 32 02 55.0
Houston 33 02 55.2
Houston 34 02 55.3
Houston 35 02 55.4
Houston 36 02 55.6
Houston 37 02 55.7
Houston 38 02 55.8
Houston 39 02 56.0
Houston 40 02 56.2
Houston 41 02 56.3
Houston 42 02 56.5
Houston 43 02 56.7
Houston 44 02 56.8
Houston 45 02 57.0
Houston 46 02 57.2
Houston 47 02 57.4
Houston 48 02 57.6
Houston 49 02 57.8
Houston 50 02 58.0
Houston 51 02 58.2
Houston 52 02 58.4
Houston 53 02 58.6
Houston 54 02 58.8
Houston 55 02 59.0
Houston 56 02 59.3
Houston 57 02 59.5
Houston 58 02 59.7
Houston 59 02 59.9
Houston 60 02 60.0
Houston 61 03 60.1
Houston 62 03 60.4
Houston 63 03 60.6
Houston 64 03 60.8
Houston 65 03 61.0
Houston 66 03 61.2
Houston 67 03 61.5
Houston 68 03 61.7
Houston 69 03 61.9
Houston 70 03 62.1
Houston 71 03 62.3
Houston 72 03 62.5
Houston 73 03 62.8
Houston 74 03 63.0
Houston 75 03 63.2
Houston 76 03 63.4
Houston 77 03 63.6
Houston 78 03 63.8
Houston 79 03 64.0
Houston 80 03 64.2
Houston 81 03 64.4
Houston 82 03 64.6
Houston 83 03 64.8
Houston 84 03 65.0
Houston 85 03 65.2
Houston 86 03 65.4
Houston 87 03 65.6
Houston 88 03 65.8
Houston 89 03 66.0
Houston 90 03 66.2
Houston 91 03 66.4
Houston 92 04 66.6
Houston 93 04 66.8
Houston 94 04 67.1
Houston 95 04 67.3
Houston 96 04 67.5
Houston 97 04 67.7
Houston 98 04 67.9
Houston 99 04 68.1
Houston 100 04 68.3
Houston 101 04 68.5
Houston 102 04 68.8
Houston 103 04 69.0
Houston 104 04 69.2
Houston 105 04 69.4
Houston 106 04 69.7
Houston 107 04 69.9
Houston 108 04 70.1
Houston 109 04 70.4
Houston 110 04 70.6
Houston 111 04 70.8
Houston 112 04 71.1
Houston 113 04 71.3
Houston 114 04 71.6
Houston 115 04 71.8
Houston 116 04 72.1
Houston 117 04 72.3
Houston 118 04 72.6
Houston 119 04 72.8
Houston 120 04 73.1
Houston 121 04 73.3
Houston 122 05 73.6
Houston 123 05 73.8
Houston 124 05 74.1
Houston 125 05 74.3
Houston 126 05 74.6
Houston 127 05 74.8
Houston 128 05 75.0
Houston 129 05 75.3
Houston 130 05 75.5
Houston 131 05 75.8
Houston 132 05 76.0
Houston 133 05 76.3
Houston 134 05 76.5
Houston 135 05 76.7
Houston 136 05 76.9
Houston 137 05 77.2
Houston 138 05 77.4
Houston 139 05 77.6
Houston 140 05 77.8
Houston 141 05 78.0
Houston 142 05 78.3
Houston 143 05 78.5
Houston 144 05 78.7
Houston 145 05 78.9
Houston 146 05 79.0
Houston 147 05 79.2
Houston 148 05 79.4
Houston 149 05 79.6
Houston 150 05 79.8
Houston 151 05 79.9
Houston 152 05 80.1
Houston 153 06 80.3
Houston 154 06 80.4
Houston 155 06 80.6
Houston 156 06 80.7
Houston 157 06 80.9
Houston 158 06 81.0
Houston 159 06 81.2
Houston 160 06 81.3
Houston 161 06 81.4
Houston 162 06 81.5
Houston 163 06 81.7
Houston 164 06 81.8
Houston 165 06 81.9
Houston 166 06 82.0
Houston 167 06 82.1
Houston 168 06 82.2
Houston 169 06 82.3
Houston 170 06 82.4
Houston 171 06 82.5
Houston 172 06 82.5
Houston 173 06 82.6
Houston 174 06 82.7
Houston 175 06 82.8
Houston 176 06 82.8
Houston 177 06 82.9
Houston 178 06 83.0
Houston 179 06 83.0
Houston 180 06 83.1
Houston 181 06 83.1
Houston 182 06 83.2
Houston 183 07 83.2
Houston 184 07 83.3
Houston 185 07 83.3
Houston 186 07 83.4
Houston 187 07 83.4
Houston 188 07 83.5
Houston 189 07 83.5
Houston 190 07 83.5
Houston 191 07 83.6
Houston 192 07 83.6
Houston 193 07 83.7
Houston 194 07 83.7
Houston 195 07 83.7
Houston 196 07 83.8
Houston 197 07 83.8
Houston 198 07 83.8
Houston 199 07 83.8
Houston 200 07 83.9
Houston 201 07 83.9
Houston 202 07 83.9
Houston 203 07 84.0
Houston 204 07 84.0
Houston 205 07 84.0
Houston 206 07 84.1
Houston 207 07 84.1
Houston 208 07 84.1
Houston 209 07 84.2
Houston 210 07 84.2
Houston 211 07 84.2
Houston 212 07 84.2
Houston 213 07 84.3
Houston 214 08 84.3
Houston 215 08 84.3
Houston 216 08 84.3
Houston 217 08 84.4
Houston 218 08 84.4
Houston 219 08 84.4
Houston 220 08 84.4
Houston 221 08 84.4
Houston 222 08 84.4
Houston 223 08 84.4
Houston 224 08 84.4
Houston 225 08 84.4
Houston 226 08 84.4
Houston 227 08 84.4
Houston 228 08 84.4
Houston 229 08 84.4
Houston 230 08 84.3
Houston 231 08 84.3
Houston 232 08 84.3
Houston 233 08 84.2
Houston 234 08 84.2
Houston 235 08 84.1
Houston 236 08 84.0
Houston 237 08 84.0
Houston 238 08 83.9
Houston 239 08 83.8
Houston 240 08 83.7
Houston 241 08 83.6
Houston 242 08 83.5
Houston 243 08 83.3
Houston 244 08 83.2
Houston 245 09 83.1
Houston 246 09 82.9
Houston 247 09 82.8
Houston 248 09 82.6
Houston 249 09 82.4
Houston 250 09 82.2
Houston 251 09 82.1
Houston 252 09 81.9
Houston 253 09 81.7
Houston 254 09 81.5
Houston 255 09 81.2
Houston 256 09 81.0
Houston 257 09 80.8
Houston 258 09 80.6
Houston 259 09 80.3
Houston 260 09 80.1
Houston 261 09 79.9
Houston 262 09 79.6
Houston 263 09 79.4
Houston 264 09 79.1
Houston 265 09 78.8
Houston 266 09 78.6
Houston 267 09 78.3
Houston 268 09 78.1
Houston 269 09 77.8
Houston 270 09 77.5
Houston 271 09 77.3
Houston 272 09 77.0
Houston 273 09 76.7
Houston 274 09 76.5
Houston 275 10 76.2
Houston 276 10 75.9
Houston 277 10 75.7
Houston 278 10 75.4
Houston 279 10 75.1
Houston 280 10 74.8
Houston 281 10 74.6
Houston 282 10 74.3
Houston 283 10 74.0
Houston 284 10 73.8
Houston 285 10 73.5
Houston 286 10 73.2
Houston 287 10 73.0
Houston 288 10 72.7
Houston 289 10 72.4
Houston 290 10 72.2
Houston 291 10 71.9
Houston 292 10 71.6
Houston 293 10 71.4
Houston 294 10 71.1
Houston 295 10 70.8
Houston 296 10 70.6
Houston 297 10 70.3
Houston 298 10 70.0
Houston 299 10 69.7
Houston 300 10 69.4
Houston 301 10 69.2
Houston 302 10 68.9
Houston 303 10 68.6
Houston 304 10 68.3
Houston 305 10 68.0
Houston 306 11 67.7
Houston 307 11 67.4
Houston 308 11 67.1
Houston 309 11 66.8
Houston 310 11 66.5
Houston 311 11 66.2
Houston 312 11 65.9
Houston 313 11 65.5
Houston 314 11 65.2
Houston 315 11 64.9
Houston 316 11 64.6
Houston 317 11 64.3
Houston 318 11 63.9
Houston 319 11 63.6
Houston 320 11 63.3
Houston 321 11 63.0
Houston 322 11 62.6
Houston 323 11 62.3
Houston 324 11 62.0
Houston 325 11 61.7
Houston 326 11 61.4
Houston 327 11 61.1
Houston 328 11 60.7
Houston 329 11 60.4
Houston 330 11 60.1
Houston 331 11 59.8
Houston 332 11 59.5
Houston 333 11 59.3
Houston 334 11 59.0
Houston 335 11 58.7
Houston 336 12 58.4
Houston 337 12 58.2
Houston 338 12 57.9
Houston 339 12 57.7
Houston 340 12 57.4
Houston 341 12 57.2
Houston 342 12 57.0
Houston 343 12 56.7
Houston 344 12 56.5
Houston 345 12 56.3
Houston 346 12 56.1
Houston 347 12 55.9
Houston 348 12 55.8
Houston 349 12 55.6
Houston 350 12 55.4
Houston 351 12 55.3
Houston 352 12 55.1
Houston 353 12 55.0
Houston 354 12 54.9
Houston 355 12 54.8
Houston 356 12 54.6
Houston 357 12 54.5
Houston 358 12 54.4
Houston 359 12 54.3
Houston 360 12 54.3
Houston 361 12 54.2
Houston 362 12 54.1
Houston 363 12 54.1
Houston 364 12 54.0
Houston 365 12 53.9
Houston 366 12 53.9
Chicago 1 01 25.6
Chicago 2 01 25.5
Chicago 3 01 25.3
Chicago 4 01 25.2
Chicago 5 01 25.1
Chicago 6 01 25.1
Chicago 7 01 25.0
Chicago 8 01 24.9
Chicago 9 01 24.8
Chicago 10 01 24.8
Chicago 11 01 24.7
Chicago 12 01 24.7
Chicago 13 01 24.6
Chicago 14 01 24.6
Chicago 15 01 24.5
Chicago 16 01 24.5
Chicago 17 01 24.5
Chicago 18 01 24.5
Chicago 19 01 24.5
Chicago 20 01 24.5
Chicago 21 01 24.5
Chicago 22 01 24.6
Chicago 23 01 24.6
Chicago 24 01 24.7
Chicago 25 01 24.7
Chicago 26 01 24.8
Chicago 27 01 24.9
Chicago 28 01 25.0
Chicago 29 01 25.1
Chicago 30 01 25.2
Chicago 31 01 25.3
Chicago 32 02 25.5
Chicago 33 02 25.6
Chicago 34 02 25.8
Chicago 35 02 26.0
Chicago 36 02 26.1
Chicago 37 02 26.3
Chicago 38 02 26.6
Chicago 39 02 26.8
Chicago 40 02 27.0
Chicago 41 02 27.3
Chicago 42 02 27.5
Chicago 43 02 27.8
Chicago 44 02 28.1
Chicago 45 02 28.3
Chicago 46 02 28.6
Chicago 47 02 28.9
Chicago 48 02 29.2
Chicago 49 02 29.6
Chicago 50 02 29.9
Chicago 51 02 30.2
Chicago 52 02 30.5
Chicago 53 02 30.9
Chicago 54 02 31.2
Chicago 55 02 31.6
Chicago 56 02 31.9
Chicago 57 02 32.3
Chicago 58 02 32.6
Chicago 59 02 33.0
Chicago 60 02 33.2
Chicago 61 03 33.3
Chicago 62 03 33.7
Chicago 63 03 34.1
Chicago 64 03 34.4
Chicago 65 03 34.8
Chicago 66 03 35.2
Chicago 67 03 35.5
Chicago 68 03 35.9
Chicago 69 03 36.3
Chicago 70 03 36.6
Chicago 71 03 37.0
Chicago 72 03 37.4
Chicago 73 03 37.7
Chicago 74 03 38.1
Chicago 75 03 38.5
Chicago 76 03 38.8
Chicago 77 03 39.2
Chicago 78 03 39.6
Chicago 79 03 39.9
Chicago 80 03 40.3
Chicago 81 03 40.7
Chicago 82 03 41.0
Chicago 83 03 41.4
Chicago 84 03 41.8
Chicago 85 03 42.2
Chicago 86 03 42.5
Chicago 87 03 42.9
Chicago 88 03 43.3
Chicago 89 03 43.7
Chicago 90 03 44.1
Chicago 91 03 44.4
Chicago 92 04 44.8
Chicago 93 04 45.2
Chicago 94 04 45.6
Chicago 95 04 46.0
Chicago 96 04 46.4
Chicago 97 04 46.8
Chicago 98 04 47.2
Chicago 99 04 47.6
Chicago 100 04 48.0
Chicago 101 04 48.4
Chicago 102 04 48.7
Chicago 103 04 49.1
Chicago 104 04 49.5
Chicago 105 04 49.9
Chicago 106 04 50.3
Chicago 107 04 50.7
Chicago 108 04 51.1
Chicago 109 04 51.5
Chicago 110 04 51.9
Chicago 111 04 52.2
Chicago 112 04 52.6
Chicago 113 04 53.0
Chicago 114 04 53.4
Chicago 115 04 53.7
Chicago 116 04 54.1
Chicago 117 04 54.5
Chicago 118 04 54.8
Chicago 119 04 55.2
Chicago 120 04 55.5
Chicago 121 04 55.8
Chicago 122 05 56.2
Chicago 123 05 56.5
Chicago 124 05 56.8
Chicago 125 05 57.2
Chicago 126 05 57.5
Chicago 127 05 57.8
Chicago 128 05 58.1
Chicago 129 05 58.4
Chicago 130 05 58.7
Chicago 131 05 59.0
Chicago 132 05 59.3
Chicago 133 05 59.6
Chicago 134 05 60.0
Chicago 135 05 60.3
Chicago 136 05 60.6
Chicago 137 05 60.9
Chicago 138 05 61.2
Chicago 139 05 61.5
Chicago 140 05 61.8
Chicago 141 05 62.1
Chicago 142 05 62.4
Chicago 143 05 62.7
Chicago 144 05 63.0
Chicago 145 05 63.4
Chicago 146 05 63.7
Chicago 147 05 64.0
Chicago 148 05 64.4
Chicago 149 05 64.7
Chicago 150 05 65.0
Chicago 151 05 65.4
Chicago 152 05 65.7
Chicago 153 06 66.1
Chicago 154 06 66.4
Chicago 155 06 66.8
Chicago 156 06 67.2
Chicago 157 06 67.5
Chicago 158 06 67.9
Chicago 159 06 68.2
Chicago 160 06 68.6
Chicago 161 06 69.0
Chicago 162 06 69.3
Chicago 163 06 69.7
Chicago 164 06 70.0
Chicago 165 06 70.4
Chicago 166 06 70.7
Chicago 167 06 71.1
Chicago 168 06 71.4
Chicago 169 06 71.7
Chicago 170 06 72.1
Chicago 171 06 72.4
Chicago 172 06 72.7
Chicago 173 06 73.0
Chicago 174 06 73.2
Chicago 175 06 73.5
Chicago 176 06 73.8
Chicago 177 06 74.0
Chicago 178 06 74.3
Chicago 179 06 74.5
Chicago 180 06 74.7
Chicago 181 06 74.9
Chicago 182 06 75.1
Chicago 183 07 75.2
Chicago 184 07 75.4
Chicago 185 07 75.5
Chicago 186 07 75.6
Chicago 187 07 75.7
Chicago 188 07 75.8
Chicago 189 07 75.9
Chicago 190 07 76.0
Chicago 191 07 76.0
Chicago 192 07 76.1
Chicago 193 07 76.1
Chicago 194 07 76.1
Chicago 195 07 76.2
Chicago 196 07 76.2
Chicago 197 07 76.2
Chicago 198 07 76.1
Chicago 199 07 76.1
Chicago 200 07 76.1
Chicago 201 07 76.1
Chicago 202 07 76.0
Chicago 203 07 76.0
Chicago 204 07 75.9
Chicago 205 07 75.9
Chicago 206 07 75.8
Chicago 207 07 75.8
Chicago 208 07 75.7
Chicago 209 07 75.7
Chicago 210 07 75.6
Chicago 211 07 75.5
Chicago 212 07 75.5
Chicago 213 07 75.4
Chicago 214 08 75.4
Chicago 215 08 75.3
Chicago 216 08 75.2
Chicago 217 08 75.2
Chicago 218 08 75.1
Chicago 219 08 75.1
Chicago 220 08 75.0
Chicago 221 08 75.0
Chicago 222 08 74.9
Chicago 223 08 74.8
Chicago 224 08 74.8
Chicago 225 08 74.7
Chicago 226 08 74.6
Chicago 227 08 74.6
Chicago 228 08 74.5
Chicago 229 08 74.4
Chicago 230 08 74.3
Chicago 231 08 74.2
Chicago 232 08 74.1
Chicago 233 08 74.0
Chicago 234 08 73.9
Chicago 235 08 73.7
Chicago 236 08 73.6
Chicago 237 08 73.4
Chicago 238 08 73.3
Chicago 239 08 73.1
Chicago 240 08 72.9
Chicago 241 08 72.7
Chicago 242 08 72.5
Chicago 243 08 72.3
Chicago 244 08 72.0
Chicago 245 09 71.8
Chicago 246 09 71.5
Chicago 247 09 71.2
Chicago 248 09 70.9
Chicago 249 09 70.6
Chicago 250 09 70.3
Chicago 251 09 69.9
Chicago 252 09 69.6
Chicago 253 09 69.2
Chicago 254 09 68.8
Chicago 255 09 68.5
Chicago 256 09 68.1
Chicago 257 09 67.7
Chicago 258 09 67.2
Chicago 259 09 66.8
Chicago 260 09 66.4
Chicago 261 09 66.0
Chicago 262 09 65.5
Chicago 263 09 65.1
Chicago 264 09 64.7
Chicago 265 09 64.2
Chicago 266 09 63.8
Chicago 267 09 63.3
Chicago 268 09 62.9
Chicago 269 09 62.4
Chicago 270 09 62.0
Chicago 271 09 61.6
Chicago 272 09 61.1
Chicago 273 09 60.7
Chicago 274 09 60.3
Chicago 275 10 59.9
Chicago 276 10 59.4
Chicago 277 10 59.0
Chicago 278 10 58.6
Chicago 279 10 58.2
Chicago 280 10 57.8
Chicago 281 10 57.5
Chicago 282 10 57.1
Chicago 283 10 56.7
Chicago 284 10 56.3
Chicago 285 10 56.0
Chicago 286 10 55.6
Chicago 287 10 55.3
Chicago 288 10 54.9
Chicago 289 10 54.5
Chicago 290 10 54.2
Chicago 291 10 53.9
Chicago 292 10 53.5
Chicago 293 10 53.2
Chicago 294 10 52.8
Chicago 295 10 52.5
Chicago 296 10 52.1
Chicago 297 10 51.8
Chicago 298 10 51.4
Chicago 299 10 51.1
Chicago 300 10 50.7
Chicago 301 10 50.3
Chicago 302 10 49.9
Chicago 303 10 49.6
Chicago 304 10 49.2
Chicago 305 10 48.8
Chicago 306 11 48.4
Chicago 307 11 48.0
Chicago 308 11 47.5
Chicago 309 11 47.1
Chicago 310 11 46.7
Chicago 311 11 46.2
Chicago 312 11 45.8
Chicago 313 11 45.3
Chicago 314 11 44.8
Chicago 315 11 44.4
Chicago 316 11 43.9
Chicago 317 11 43.4
Chicago 318 11 42.9
Chicago 319 11 42.4
Chicago 320 11 41.9
Chicago 321 11 41.4
Chicago 322 11 40.9
Chicago 323 11 40.4
Chicago 324 11 39.9
Chicago 325 11 39.4
Chicago 326 11 38.8
Chicago 327 11 38.3
Chicago 328 11 37.8
Chicago 329 11 37.3
Chicago 330 11 36.8
Chicago 331 11 36.3
Chicago 332 11 35.8
Chicago 333 11 35.4
Chicago 334 11 34.9
Chicago 335 11 34.4
Chicago 336 12 34.0
Chicago 337 12 33.5
Chicago 338 12 33.1
Chicago 339 12 32.7
Chicago 340 12 32.2
Chicago 341 12 31.8
Chicago 342 12 31.5
Chicago 343 12 31.1
Chicago 344 12 30.7
Chicago 345 12 30.4
Chicago 346 12 30.0
Chicago 347 12 29.7
Chicago 348 12 29.4
Chicago 349 12 29.1
Chicago 350 12 28.8
Chicago 351 12 28.5
Chicago 352 12 28.3
Chicago 353 12 28.0
Chicago 354 12 27.8
Chicago 355 12 27.6
Chicago 356 12 27.3
Chicago 357 12 27.1
Chicago 358 12 26.9
Chicago 359 12 26.7
Chicago 360 12 26.6
Chicago 361 12 26.4
Chicago 362 12 26.2
Chicago 363 12 26.1
Chicago 364 12 26.0
Chicago 365 12 25.8
Chicago 366 12 25.7
San Diego 1 01 55.2
San Diego 2 01 55.3
San Diego 3 01 55.3
San Diego 4 01 55.4
San Diego 5 01 55.4
San Diego 6 01 55.5
San Diego 7 01 55.5
San Diego 8 01 55.6
San Diego 9 01 55.6
San Diego 10 01 55.7
San Diego 11 01 55.7
San Diego 12 01 55.8
San Diego 13 01 55.8
San Diego 14 01 55.9
San Diego 15 01 55.9
San Diego 16 01 55.9
San Diego 17 01 56.0
San Diego 18 01 56.0
San Diego 19 01 56.0
San Diego 20 01 56.0
San Diego 21 01 56.1
San Diego 22 01 56.1
San Diego 23 01 56.1
San Diego 24 01 56.1
San Diego 25 01 56.1
San Diego 26 01 56.2
San Diego 27 01 56.2
San Diego 28 01 56.2
San Diego 29 01 56.2
San Diego 30 01 56.2
San Diego 31 01 56.2
San Diego 32 02 56.2
San Diego 33 02 56.2
San Diego 34 02 56.3
San Diego 35 02 56.3
San Diego 36 02 56.3
San Diego 37 02 56.3
San Diego 38 02 56.3
San Diego 39 02 56.3
San Diego 40 02 56.4
San Diego 41 02 56.4
San Diego 42 02 56.4
San Diego 43 02 56.4
San Diego 44 02 56.4
San Diego 45 02 56.5
San Diego 46 02 56.5
San Diego 47 02 56.5
San Diego 48 02 56.5
San Diego 49 02 56.6
San Diego 50 02 56.6
San Diego 51 02 56.6
San Diego 52 02 56.7
San Diego 53 02 56.7
San Diego 54 02 56.7
San Diego 55 02 56.7
San Diego 56 02 56.8
San Diego 57 02 56.8
San Diego 58 02 56.8
San Diego 59 02 56.9
San Diego 60 02 56.9
San Diego 61 03 56.9
San Diego 62 03 56.9
San Diego 63 03 56.9
San Diego 64 03 57.0
San Diego 65 03 57.0
San Diego 66 03 57.0
San Diego 67 03 57.0
San Diego 68 03 57.1
San Diego 69 03 57.1
San Diego 70 03 57.1
San Diego 71 03 57.1
San Diego 72 03 57.2
San Diego 73 03 57.2
San Diego 74 03 57.2
San Diego 75 03 57.3
San Diego 76 03 57.3
San Diego 77 03 57.3
San Diego 78 03 57.3
San Diego 79 03 57.4
San Diego 80 03 57.4
San Diego 81 03 57.5
San Diego 82 03 57.5
San Diego 83 03 57.6
San Diego 84 03 57.6
San Diego 85 03 57.7
San Diego 86 03 57.7
San Diego 87 03 57.8
San Diego 88 03 57.8
San Diego 89 03 57.9
San Diego 90 03 58.0
San Diego 91 03 58.1
San Diego 92 04 58.1
San Diego 93 04 58.2
San Diego 94 04 58.3
San Diego 95 04 58.4
San Diego 96 04 58.5
San Diego 97 04 58.6
San Diego 98 04 58.7
San Diego 99 04 58.9
San Diego 100 04 59.0
San Diego 101 04 59.1
San Diego 102 04 59.2
San Diego 103 04 59.4
San Diego 104 04 59.5
San Diego 105 04 59.6
San Diego 106 04 59.8
San Diego 107 04 59.9
San Diego 108 04 60.1
San Diego 109 04 60.2
San Diego 110 04 60.3
San Diego 111 04 60.5
San Diego 112 04 60.6
San Diego 113 04 60.8
San Diego 114 04 60.9
San Diego 115 04 61.1
San Diego 116 04 61.2
San Diego 117 04 61.3
San Diego 118 04 61.5
San Diego 119 04 61.6
San Diego 120 04 61.7
San Diego 121 04 61.8
San Diego 122 05 61.9
San Diego 123 05 62.1
San Diego 124 05 62.2
San Diego 125 05 62.3
San Diego 126 05 62.4
San Diego 127 05 62.5
San Diego 128 05 62.6
San Diego 129 05 62.7
San Diego 130 05 62.7
San Diego 131 05 62.8
San Diego 132 05 62.9
San Diego 133 05 63.0
San Diego 134 05 63.0
San Diego 135 05 63.1
San Diego 136 05 63.2
San Diego 137 05 63.2
San Diego 138 05 63.3
San Diego 139 05 63.4
San Diego 140 05 63.4
San Diego 141 05 63.5
San Diego 142 05 63.6
San Diego 143 05 63.6
San Diego 144 05 63.7
San Diego 145 05 63.8
San Diego 146 05 63.8
San Diego 147 05 63.9
San Diego 148 05 64.0
San Diego 149 05 64.0
San Diego 150 05 64.1
San Diego 151 05 64.2
San Diego 152 05 64.3
San Diego 153 06 64.4
San Diego 154 06 64.5
San Diego 155 06 64.6
San Diego 156 06 64.7
San Diego 157 06 64.8
San Diego 158 06 65.0
San Diego 159 06 65.1
San Diego 160 06 65.2
San Diego 161 06 65.4
San Diego 162 06 65.5
San Diego 163 06 65.7
San Diego 164 06 65.8
San Diego 165 06 66.0
San Diego 166 06 66.2
San Diego 167 06 66.3
San Diego 168 06 66.5
San Diego 169 06 66.7
San Diego 170 06 66.9
San Diego 171 06 67.1
San Diego 172 06 67.2
San Diego 173 06 67.4
San Diego 174 06 67.6
San Diego 175 06 67.8
San Diego 176 06 68.0
San Diego 177 06 68.2
San Diego 178 06 68.4
San Diego 179 06 68.6
San Diego 180 06 68.7
San Diego 181 06 68.9
San Diego 182 06 69.1
San Diego 183 07 69.3
San Diego 184 07 69.4
San Diego 185 07 69.6
San Diego 186 07 69.8
San Diego 187 07 69.9
San Diego 188 07 70.1
San Diego 189 07 70.2
San Diego 190 07 70.3
San Diego 191 07 70.5
San Diego 192 07 70.6
San Diego 193 07 70.7
San Diego 194 07 70.8
San Diego 195 07 70.9
San Diego 196 07 71.1
San Diego 197 07 71.2
San Diego 198 07 71.2
San Diego 199 07 71.3
San Diego 200 07 71.4
San Diego 201 07 71.5
San Diego 202 07 71.6
San Diego 203 07 71.6
San Diego 204 07 71.7
San Diego 205 07 71.8
San Diego 206 07 71.8
San Diego 207 07 71.9
San Diego 208 07 71.9
San Diego 209 07 72.0
San Diego 210 07 72.0
San Diego 211 07 72.1
San Diego 212 07 72.1
San Diego 213 07 72.2
San Diego 214 08 72.2
San Diego 215 08 72.2
San Diego 216 08 72.3
San Diego 217 08 72.3
San Diego 218 08 72.4
San Diego 219 08 72.4
San Diego 220 08 72.4
San Diego 221 08 72.5
San Diego 222 08 72.5
San Diego 223 08 72.5
San Diego 224 08 72.6
San Diego 225 08 72.6
San Diego 226 08 72.6
San Diego 227 08 72.7
San Diego 228 08 72.7
San Diego 229 08 72.7
San Diego 230 08 72.7
San Diego 231 08 72.8
San Diego 232 08 72.8
San Diego 233 08 72.8
San Diego 234 08 72.8
San Diego 235 08 72.8
San Diego 236 08 72.8
San Diego 237 08 72.8
San Diego 238 08 72.8
San Diego 239 08 72.7
San Diego 240 08 72.7
San Diego 241 08 72.7
San Diego 242 08 72.7
San Diego 243 08 72.6
San Diego 244 08 72.6
San Diego 245 09 72.5
San Diego 246 09 72.4
San Diego 247 09 72.4
San Diego 248 09 72.3
San Diego 249 09 72.2
San Diego 250 09 72.1
San Diego 251 09 72.0
San Diego 252 09 71.9
San Diego 253 09 71.8
San Diego 254 09 71.7
San Diego 255 09 71.6
San Diego 256 09 71.4
San Diego 257 09 71.3
San Diego 258 09 71.1
San Diego 259 09 71.0
San Diego 260 09 70.8
San Diego 261 09 70.7
San Diego 262 09 70.5
San Diego 263 09 70.3
San Diego 264 09 70.2
San Diego 265 09 70.0
San Diego 266 09 69.8
San Diego 267 09 69.7
San Diego 268 09 69.5
San Diego 269 09 69.3
San Diego 270 09 69.1
San Diego 271 09 69.0
San Diego 272 09 68.8
San Diego 273 09 68.6
San Diego 274 09 68.4
San Diego 275 10 68.3
San Diego 276 10 68.1
San Diego 277 10 67.9
San Diego 278 10 67.8
San Diego 279 10 67.6
San Diego 280 10 67.4
San Diego 281 10 67.3
San Diego 282 10 67.1
San Diego 283 10 67.0
San Diego 284 10 66.8
San Diego 285 10 66.7
San Diego 286 10 66.5
San Diego 287 10 66.4
San Diego 288 10 66.2
San Diego 289 10 66.1
San Diego 290 10 65.9
San Diego 291 10 65.8
San Diego 292 10 65.6
San Diego 293 10 65.5
San Diego 294 10 65.3
San Diego 295 10 65.2
San Diego 296 10 65.0
San Diego 297 10 64.9
San Diego 298 10 64.7
San Diego 299 10 64.5
San Diego 300 10 64.4
San Diego 301 10 64.2
San Diego 302 10 64.0
San Diego 303 10 63.9
San Diego 304 10 63.7
San Diego 305 10 63.5
San Diego 306 11 63.3
San Diego 307 11 63.1
San Diego 308 11 62.9
San Diego 309 11 62.7
San Diego 310 11 62.5
San Diego 311 11 62.3
San Diego 312 11 62.0
San Diego 313 11 61.8
San Diego 314 11 61.6
San Diego 315 11 61.4
San Diego 316 11 61.1
San Diego 317 11 60.9
San Diego 318 11 60.6
San Diego 319 11 60.4
San Diego 320 11 60.1
San Diego 321 11 59.9
San Diego 322 11 59.6
San Diego 323 11 59.4
San Diego 324 11 59.2
San Diego 325 11 58.9
San Diego 326 11 58.7
San Diego 327 11 58.4
San Diego 328 11 58.2
San Diego 329 11 57.9
San Diego 330 11 57.7
San Diego 331 11 57.5
San Diego 332 11 57.3
San Diego 333 11 57.1
San Diego 334 11 56.9
San Diego 335 11 56.7
San Diego 336 12 56.5
San Diego 337 12 56.3
San Diego 338 12 56.1
San Diego 339 12 56.0
San Diego 340 12 55.8
San Diego 341 12 55.7
San Diego 342 12 55.5
San Diego 343 12 55.4
San Diego 344 12 55.3
San Diego 345 12 55.2
San Diego 346 12 55.1
San Diego 347 12 55.0
San Diego 348 12 55.0
San Diego 349 12 54.9
San Diego 350 12 54.9
San Diego 351 12 54.8
San Diego 352 12 54.8
San Diego 353 12 54.8
San Diego 354 12 54.8
San Diego 355 12 54.8
San Diego 356 12 54.8
San Diego 357 12 54.8
San Diego 358 12 54.8
San Diego 359 12 54.9
San Diego 360 12 54.9
San Diego 361 12 54.9
San Diego 362 12 55.0
San Diego 363 12 55.0
San Diego 364 12 55.1
San Diego 365 12 55.1
San Diego 366 12 55.2
\n\n`````\n:::\n:::\n\n\n\n:::\n\n## Temperatures mapped onto y position\n\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/temp-normals-vs-time-1.svg){width=80%}\n:::\n:::\n\n\n\n\n## Temperatures mapped onto color\n\n
\n\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/four-locations-temps-by-month-1.svg){width=100%}\n:::\n:::\n\n\n\n\n## Commonly used aesthetics\n\n![](https://clauswilke.com/dataviz/aesthetic_mapping_files/figure-html/common-aesthetics-1.png){width=90% fig-align=\"center\"}\n\n## The same data values can be mapped to different aesthetics\n\n![](https://clauswilke.com/dataviz/aesthetic_mapping_files/figure-html/basic-scales-example-1.png){width=90% fig-align=\"center\"}\n\n## We can use many different aesthetics at once\n\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/mtcars-five-scale-1.svg){width=60%}\n:::\n:::\n\n\n\n\n\n\n\n# Creating aesthetic mappings in ggplot\n\n## Getting the data\n\nAll examples will use the `temperatures` dataset:\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\ntemperatures <- read_csv(\"https://wilkelab.org/SDS366/datasets/tempnormals.csv\") |>\n mutate(\n location = factor(\n location, levels = c(\"Death Valley\", \"Houston\", \"San Diego\", \"Chicago\")\n )\n ) |>\n select(location, station_id, day_of_year, month, temperature)\n```\n:::\n\n\n\n\n## We define the mapping with `aes()`\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(\n data = temperatures,\n mapping = aes(x = day_of_year, y = temperature, color = location)\n) + \n geom_line()\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-temps-example-1.svg){width=65%}\n:::\n:::\n\n\n\n\n## We define the mapping with `aes()`\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(\n data = temperatures,\n mapping = aes(x = day_of_year, y = location, color = temperature)\n) + \n geom_point(size = 5)\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-temps-example2-1.svg){width=85%}\n:::\n:::\n\n\n\n\n## We frequently omit argument names\n\nLong form, all arguments are named:\n\n```r\nggplot(\n data = temperatures,\n mapping = aes(x = day_of_year, y = location, color = temperature)\n) + geom_point(size = 5)\n```\n\n::: {.fragment}\n
\n\nAbbreviated form, common arguments remain unnamed:\n\n```r\nggplot(temperatures, aes(day_of_year, location, color = temperature)) + \n geom_point(size = 5)\n```\n:::\n\n## The geom determines how the data is shown\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(temperatures, aes(day_of_year, temperature, color = location)) + \n geom_line()\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-temps-example5-1.svg){width=65%}\n:::\n:::\n\n\n\n\n## The geom determines how the data is shown\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(temperatures, aes(day_of_year, location, color = temperature)) + \n geom_point(size = 5)\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-temps-example6-1.svg){width=85%}\n:::\n:::\n\n\n\n\n## The geom determines how the data is shown\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(temperatures, aes(month, temperature, color = location)) + \n geom_boxplot()\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-temps-example7-1.svg){width=80%}\n:::\n:::\n\n\n\n\n## The geom determines how the data is shown\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(temperatures, aes(month, temperature, fill = location)) + \n geom_violin() + \n facet_wrap(~location) # make separate panel per location\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-temps-example8-1.svg){width=90%}\n:::\n:::\n\n\n\n\n\n\n# Important: Distinguish between `color` and `fill`\n\n## Distinguish between `color` and `fill`\n\n
\n\n::: {.fragment}\n`color`
\nApplies color to points, lines, text, borders\n:::\n\n
\n\n::: {.fragment}\n`fill`
\nApplies color to any filled areas \n:::\n\n## Many geoms use both `color` and `fill`\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(temperatures, aes(month, temperature, color = location)) + \n geom_boxplot()\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-color-fill-1.svg){width=80%}\n:::\n:::\n\n\n\n\n## Many geoms use both `color` and `fill`\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(temperatures, aes(month, temperature, fill = location)) + \n geom_boxplot()\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-color-fill2-1.svg){width=80%}\n:::\n:::\n\n\n\n\n## Many geoms use both `color` and `fill`\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(temperatures, aes(month, temperature, color = location, fill = location)) + \n geom_boxplot()\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-color-fill3-1.svg){width=80%}\n:::\n:::\n\n\n\n\n## Aesthetics can also be used as parameters\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(temperatures, aes(month, temperature, fill = location)) + \n geom_boxplot(color = \"steelblue\")\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-color-fill-params-1.svg){width=80%}\n:::\n:::\n\n\n\n\n## Aesthetics can also be used as parameters\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(temperatures, aes(month, temperature, color = location)) + \n geom_boxplot(fill = \"steelblue\")\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-color-fill-params2-1.svg){width=80%}\n:::\n:::\n\n\n\n\n\n\n## Further reading\n\n::: {.small-font}\n- Fundamentals of Data Visualization: [Chapter 2: Visualizing data](https://clauswilke.com/dataviz/aesthetic-mapping.html)\n- Data Visualization—A Practical Introduction: [Chapter 3: Make a plot](https://socviz.co/makeplot.html#makeplot)\n- [**ggplot2** reference documentation](https://ggplot2.tidyverse.org/reference/index.html)\n- [**ggplot2** book](https://ggplot2-book.org/)\n- [**ggplot2** cheatsheet](https://raw.githubusercontent.com/rstudio/cheatsheets/main/data-visualization.pdf)\n:::\n\n", + "markdown": "---\ntitle: \"Aesthetic mappings\"\nauthor: \"Claus O. Wilke\"\ndate: today\nformat: \n revealjs:\n theme:\n - default\n - Wilke-theme.scss\n auto-stretch: false\n chalkboard: true\nexecute:\n fig-format: svg\n fig-asp: 0.618\n fig-width: 5.5\n---\n\n\n\n\n\n\n# Plots map data onto graphical elements\n\n## Dataset:
Daily average temperatures for various locations {.scrollable}\n\n::: {.tiny-font}\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n`````{=html}\n\n \n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n
location day_of_year month temperature
Death Valley 1 01 51.0
Death Valley 2 01 51.2
Death Valley 3 01 51.3
Death Valley 4 01 51.4
Death Valley 5 01 51.6
Death Valley 6 01 51.7
Death Valley 7 01 51.9
Death Valley 8 01 52.0
Death Valley 9 01 52.2
Death Valley 10 01 52.3
Death Valley 11 01 52.5
Death Valley 12 01 52.7
Death Valley 13 01 52.9
Death Valley 14 01 53.0
Death Valley 15 01 53.2
Death Valley 16 01 53.4
Death Valley 17 01 53.6
Death Valley 18 01 53.7
Death Valley 19 01 53.9
Death Valley 20 01 54.1
Death Valley 21 01 54.3
Death Valley 22 01 54.5
Death Valley 23 01 54.6
Death Valley 24 01 54.8
Death Valley 25 01 55.0
Death Valley 26 01 55.2
Death Valley 27 01 55.4
Death Valley 28 01 55.6
Death Valley 29 01 55.8
Death Valley 30 01 56.0
Death Valley 31 01 56.2
Death Valley 32 02 56.4
Death Valley 33 02 56.6
Death Valley 34 02 56.8
Death Valley 35 02 57.0
Death Valley 36 02 57.2
Death Valley 37 02 57.5
Death Valley 38 02 57.7
Death Valley 39 02 57.9
Death Valley 40 02 58.2
Death Valley 41 02 58.4
Death Valley 42 02 58.7
Death Valley 43 02 58.9
Death Valley 44 02 59.2
Death Valley 45 02 59.5
Death Valley 46 02 59.8
Death Valley 47 02 60.1
Death Valley 48 02 60.3
Death Valley 49 02 60.6
Death Valley 50 02 60.9
Death Valley 51 02 61.2
Death Valley 52 02 61.6
Death Valley 53 02 61.9
Death Valley 54 02 62.2
Death Valley 55 02 62.5
Death Valley 56 02 62.8
Death Valley 57 02 63.2
Death Valley 58 02 63.5
Death Valley 59 02 63.8
Death Valley 60 02 64.0
Death Valley 61 03 64.1
Death Valley 62 03 64.5
Death Valley 63 03 64.8
Death Valley 64 03 65.1
Death Valley 65 03 65.4
Death Valley 66 03 65.7
Death Valley 67 03 66.0
Death Valley 68 03 66.3
Death Valley 69 03 66.7
Death Valley 70 03 67.0
Death Valley 71 03 67.2
Death Valley 72 03 67.5
Death Valley 73 03 67.8
Death Valley 74 03 68.1
Death Valley 75 03 68.4
Death Valley 76 03 68.6
Death Valley 77 03 68.9
Death Valley 78 03 69.2
Death Valley 79 03 69.4
Death Valley 80 03 69.7
Death Valley 81 03 69.9
Death Valley 82 03 70.1
Death Valley 83 03 70.4
Death Valley 84 03 70.6
Death Valley 85 03 70.8
Death Valley 86 03 71.1
Death Valley 87 03 71.3
Death Valley 88 03 71.5
Death Valley 89 03 71.7
Death Valley 90 03 71.9
Death Valley 91 03 72.2
Death Valley 92 04 72.4
Death Valley 93 04 72.6
Death Valley 94 04 72.8
Death Valley 95 04 73.1
Death Valley 96 04 73.3
Death Valley 97 04 73.5
Death Valley 98 04 73.8
Death Valley 99 04 74.0
Death Valley 100 04 74.3
Death Valley 101 04 74.5
Death Valley 102 04 74.8
Death Valley 103 04 75.1
Death Valley 104 04 75.3
Death Valley 105 04 75.6
Death Valley 106 04 75.9
Death Valley 107 04 76.2
Death Valley 108 04 76.5
Death Valley 109 04 76.8
Death Valley 110 04 77.1
Death Valley 111 04 77.5
Death Valley 112 04 77.8
Death Valley 113 04 78.1
Death Valley 114 04 78.5
Death Valley 115 04 78.8
Death Valley 116 04 79.2
Death Valley 117 04 79.5
Death Valley 118 04 79.9
Death Valley 119 04 80.3
Death Valley 120 04 80.6
Death Valley 121 04 81.0
Death Valley 122 05 81.4
Death Valley 123 05 81.7
Death Valley 124 05 82.1
Death Valley 125 05 82.5
Death Valley 126 05 82.9
Death Valley 127 05 83.2
Death Valley 128 05 83.6
Death Valley 129 05 84.0
Death Valley 130 05 84.3
Death Valley 131 05 84.7
Death Valley 132 05 85.1
Death Valley 133 05 85.4
Death Valley 134 05 85.8
Death Valley 135 05 86.1
Death Valley 136 05 86.4
Death Valley 137 05 86.8
Death Valley 138 05 87.1
Death Valley 139 05 87.4
Death Valley 140 05 87.8
Death Valley 141 05 88.1
Death Valley 142 05 88.4
Death Valley 143 05 88.7
Death Valley 144 05 89.0
Death Valley 145 05 89.3
Death Valley 146 05 89.6
Death Valley 147 05 89.9
Death Valley 148 05 90.1
Death Valley 149 05 90.4
Death Valley 150 05 90.7
Death Valley 151 05 91.0
Death Valley 152 05 91.3
Death Valley 153 06 91.5
Death Valley 154 06 91.8
Death Valley 155 06 92.1
Death Valley 156 06 92.3
Death Valley 157 06 92.6
Death Valley 158 06 92.9
Death Valley 159 06 93.1
Death Valley 160 06 93.4
Death Valley 161 06 93.7
Death Valley 162 06 94.0
Death Valley 163 06 94.2
Death Valley 164 06 94.5
Death Valley 165 06 94.8
Death Valley 166 06 95.1
Death Valley 167 06 95.4
Death Valley 168 06 95.7
Death Valley 169 06 95.9
Death Valley 170 06 96.2
Death Valley 171 06 96.5
Death Valley 172 06 96.8
Death Valley 173 06 97.1
Death Valley 174 06 97.4
Death Valley 175 06 97.7
Death Valley 176 06 98.0
Death Valley 177 06 98.3
Death Valley 178 06 98.5
Death Valley 179 06 98.8
Death Valley 180 06 99.1
Death Valley 181 06 99.4
Death Valley 182 06 99.6
Death Valley 183 07 99.9
Death Valley 184 07 100.2
Death Valley 185 07 100.4
Death Valley 186 07 100.6
Death Valley 187 07 100.9
Death Valley 188 07 101.1
Death Valley 189 07 101.3
Death Valley 190 07 101.5
Death Valley 191 07 101.7
Death Valley 192 07 101.9
Death Valley 193 07 102.1
Death Valley 194 07 102.2
Death Valley 195 07 102.4
Death Valley 196 07 102.5
Death Valley 197 07 102.6
Death Valley 198 07 102.8
Death Valley 199 07 102.9
Death Valley 200 07 102.9
Death Valley 201 07 103.0
Death Valley 202 07 103.1
Death Valley 203 07 103.1
Death Valley 204 07 103.1
Death Valley 205 07 103.1
Death Valley 206 07 103.2
Death Valley 207 07 103.1
Death Valley 208 07 103.1
Death Valley 209 07 103.1
Death Valley 210 07 103.0
Death Valley 211 07 103.0
Death Valley 212 07 102.9
Death Valley 213 07 102.8
Death Valley 214 08 102.7
Death Valley 215 08 102.6
Death Valley 216 08 102.5
Death Valley 217 08 102.4
Death Valley 218 08 102.3
Death Valley 219 08 102.2
Death Valley 220 08 102.0
Death Valley 221 08 101.9
Death Valley 222 08 101.7
Death Valley 223 08 101.5
Death Valley 224 08 101.4
Death Valley 225 08 101.2
Death Valley 226 08 101.0
Death Valley 227 08 100.8
Death Valley 228 08 100.6
Death Valley 229 08 100.4
Death Valley 230 08 100.2
Death Valley 231 08 100.0
Death Valley 232 08 99.8
Death Valley 233 08 99.6
Death Valley 234 08 99.4
Death Valley 235 08 99.1
Death Valley 236 08 98.9
Death Valley 237 08 98.6
Death Valley 238 08 98.4
Death Valley 239 08 98.1
Death Valley 240 08 97.9
Death Valley 241 08 97.6
Death Valley 242 08 97.3
Death Valley 243 08 97.1
Death Valley 244 08 96.8
Death Valley 245 09 96.5
Death Valley 246 09 96.2
Death Valley 247 09 95.9
Death Valley 248 09 95.6
Death Valley 249 09 95.2
Death Valley 250 09 94.9
Death Valley 251 09 94.6
Death Valley 252 09 94.2
Death Valley 253 09 93.8
Death Valley 254 09 93.5
Death Valley 255 09 93.1
Death Valley 256 09 92.7
Death Valley 257 09 92.3
Death Valley 258 09 91.9
Death Valley 259 09 91.5
Death Valley 260 09 91.1
Death Valley 261 09 90.7
Death Valley 262 09 90.3
Death Valley 263 09 89.8
Death Valley 264 09 89.4
Death Valley 265 09 88.9
Death Valley 266 09 88.5
Death Valley 267 09 88.0
Death Valley 268 09 87.6
Death Valley 269 09 87.1
Death Valley 270 09 86.6
Death Valley 271 09 86.1
Death Valley 272 09 85.7
Death Valley 273 09 85.2
Death Valley 274 09 84.7
Death Valley 275 10 84.2
Death Valley 276 10 83.7
Death Valley 277 10 83.3
Death Valley 278 10 82.8
Death Valley 279 10 82.3
Death Valley 280 10 81.8
Death Valley 281 10 81.3
Death Valley 282 10 80.9
Death Valley 283 10 80.4
Death Valley 284 10 79.9
Death Valley 285 10 79.4
Death Valley 286 10 79.0
Death Valley 287 10 78.5
Death Valley 288 10 78.0
Death Valley 289 10 77.6
Death Valley 290 10 77.1
Death Valley 291 10 76.6
Death Valley 292 10 76.2
Death Valley 293 10 75.7
Death Valley 294 10 75.3
Death Valley 295 10 74.8
Death Valley 296 10 74.3
Death Valley 297 10 73.9
Death Valley 298 10 73.4
Death Valley 299 10 73.0
Death Valley 300 10 72.5
Death Valley 301 10 72.1
Death Valley 302 10 71.6
Death Valley 303 10 71.1
Death Valley 304 10 70.7
Death Valley 305 10 70.2
Death Valley 306 11 69.7
Death Valley 307 11 69.3
Death Valley 308 11 68.8
Death Valley 309 11 68.3
Death Valley 310 11 67.8
Death Valley 311 11 67.3
Death Valley 312 11 66.9
Death Valley 313 11 66.4
Death Valley 314 11 65.9
Death Valley 315 11 65.4
Death Valley 316 11 64.9
Death Valley 317 11 64.4
Death Valley 318 11 63.9
Death Valley 319 11 63.3
Death Valley 320 11 62.8
Death Valley 321 11 62.3
Death Valley 322 11 61.8
Death Valley 323 11 61.3
Death Valley 324 11 60.8
Death Valley 325 11 60.3
Death Valley 326 11 59.8
Death Valley 327 11 59.3
Death Valley 328 11 58.8
Death Valley 329 11 58.3
Death Valley 330 11 57.9
Death Valley 331 11 57.4
Death Valley 332 11 56.9
Death Valley 333 11 56.5
Death Valley 334 11 56.0
Death Valley 335 11 55.6
Death Valley 336 12 55.2
Death Valley 337 12 54.8
Death Valley 338 12 54.4
Death Valley 339 12 54.0
Death Valley 340 12 53.7
Death Valley 341 12 53.3
Death Valley 342 12 53.0
Death Valley 343 12 52.7
Death Valley 344 12 52.4
Death Valley 345 12 52.2
Death Valley 346 12 51.9
Death Valley 347 12 51.7
Death Valley 348 12 51.5
Death Valley 349 12 51.3
Death Valley 350 12 51.1
Death Valley 351 12 51.0
Death Valley 352 12 50.9
Death Valley 353 12 50.8
Death Valley 354 12 50.7
Death Valley 355 12 50.6
Death Valley 356 12 50.6
Death Valley 357 12 50.5
Death Valley 358 12 50.5
Death Valley 359 12 50.5
Death Valley 360 12 50.5
Death Valley 361 12 50.6
Death Valley 362 12 50.6
Death Valley 363 12 50.7
Death Valley 364 12 50.8
Death Valley 365 12 50.8
Death Valley 366 12 50.9
Houston 1 01 53.9
Houston 2 01 53.8
Houston 3 01 53.8
Houston 4 01 53.8
Houston 5 01 53.8
Houston 6 01 53.7
Houston 7 01 53.7
Houston 8 01 53.7
Houston 9 01 53.7
Houston 10 01 53.7
Houston 11 01 53.7
Houston 12 01 53.8
Houston 13 01 53.8
Houston 14 01 53.8
Houston 15 01 53.8
Houston 16 01 53.9
Houston 17 01 53.9
Houston 18 01 53.9
Houston 19 01 54.0
Houston 20 01 54.0
Houston 21 01 54.1
Houston 22 01 54.2
Houston 23 01 54.2
Houston 24 01 54.3
Houston 25 01 54.4
Houston 26 01 54.4
Houston 27 01 54.5
Houston 28 01 54.6
Houston 29 01 54.7
Houston 30 01 54.8
Houston 31 01 54.9
Houston 32 02 55.0
Houston 33 02 55.2
Houston 34 02 55.3
Houston 35 02 55.4
Houston 36 02 55.6
Houston 37 02 55.7
Houston 38 02 55.8
Houston 39 02 56.0
Houston 40 02 56.2
Houston 41 02 56.3
Houston 42 02 56.5
Houston 43 02 56.7
Houston 44 02 56.8
Houston 45 02 57.0
Houston 46 02 57.2
Houston 47 02 57.4
Houston 48 02 57.6
Houston 49 02 57.8
Houston 50 02 58.0
Houston 51 02 58.2
Houston 52 02 58.4
Houston 53 02 58.6
Houston 54 02 58.8
Houston 55 02 59.0
Houston 56 02 59.3
Houston 57 02 59.5
Houston 58 02 59.7
Houston 59 02 59.9
Houston 60 02 60.0
Houston 61 03 60.1
Houston 62 03 60.4
Houston 63 03 60.6
Houston 64 03 60.8
Houston 65 03 61.0
Houston 66 03 61.2
Houston 67 03 61.5
Houston 68 03 61.7
Houston 69 03 61.9
Houston 70 03 62.1
Houston 71 03 62.3
Houston 72 03 62.5
Houston 73 03 62.8
Houston 74 03 63.0
Houston 75 03 63.2
Houston 76 03 63.4
Houston 77 03 63.6
Houston 78 03 63.8
Houston 79 03 64.0
Houston 80 03 64.2
Houston 81 03 64.4
Houston 82 03 64.6
Houston 83 03 64.8
Houston 84 03 65.0
Houston 85 03 65.2
Houston 86 03 65.4
Houston 87 03 65.6
Houston 88 03 65.8
Houston 89 03 66.0
Houston 90 03 66.2
Houston 91 03 66.4
Houston 92 04 66.6
Houston 93 04 66.8
Houston 94 04 67.1
Houston 95 04 67.3
Houston 96 04 67.5
Houston 97 04 67.7
Houston 98 04 67.9
Houston 99 04 68.1
Houston 100 04 68.3
Houston 101 04 68.5
Houston 102 04 68.8
Houston 103 04 69.0
Houston 104 04 69.2
Houston 105 04 69.4
Houston 106 04 69.7
Houston 107 04 69.9
Houston 108 04 70.1
Houston 109 04 70.4
Houston 110 04 70.6
Houston 111 04 70.8
Houston 112 04 71.1
Houston 113 04 71.3
Houston 114 04 71.6
Houston 115 04 71.8
Houston 116 04 72.1
Houston 117 04 72.3
Houston 118 04 72.6
Houston 119 04 72.8
Houston 120 04 73.1
Houston 121 04 73.3
Houston 122 05 73.6
Houston 123 05 73.8
Houston 124 05 74.1
Houston 125 05 74.3
Houston 126 05 74.6
Houston 127 05 74.8
Houston 128 05 75.0
Houston 129 05 75.3
Houston 130 05 75.5
Houston 131 05 75.8
Houston 132 05 76.0
Houston 133 05 76.3
Houston 134 05 76.5
Houston 135 05 76.7
Houston 136 05 76.9
Houston 137 05 77.2
Houston 138 05 77.4
Houston 139 05 77.6
Houston 140 05 77.8
Houston 141 05 78.0
Houston 142 05 78.3
Houston 143 05 78.5
Houston 144 05 78.7
Houston 145 05 78.9
Houston 146 05 79.0
Houston 147 05 79.2
Houston 148 05 79.4
Houston 149 05 79.6
Houston 150 05 79.8
Houston 151 05 79.9
Houston 152 05 80.1
Houston 153 06 80.3
Houston 154 06 80.4
Houston 155 06 80.6
Houston 156 06 80.7
Houston 157 06 80.9
Houston 158 06 81.0
Houston 159 06 81.2
Houston 160 06 81.3
Houston 161 06 81.4
Houston 162 06 81.5
Houston 163 06 81.7
Houston 164 06 81.8
Houston 165 06 81.9
Houston 166 06 82.0
Houston 167 06 82.1
Houston 168 06 82.2
Houston 169 06 82.3
Houston 170 06 82.4
Houston 171 06 82.5
Houston 172 06 82.5
Houston 173 06 82.6
Houston 174 06 82.7
Houston 175 06 82.8
Houston 176 06 82.8
Houston 177 06 82.9
Houston 178 06 83.0
Houston 179 06 83.0
Houston 180 06 83.1
Houston 181 06 83.1
Houston 182 06 83.2
Houston 183 07 83.2
Houston 184 07 83.3
Houston 185 07 83.3
Houston 186 07 83.4
Houston 187 07 83.4
Houston 188 07 83.5
Houston 189 07 83.5
Houston 190 07 83.5
Houston 191 07 83.6
Houston 192 07 83.6
Houston 193 07 83.7
Houston 194 07 83.7
Houston 195 07 83.7
Houston 196 07 83.8
Houston 197 07 83.8
Houston 198 07 83.8
Houston 199 07 83.8
Houston 200 07 83.9
Houston 201 07 83.9
Houston 202 07 83.9
Houston 203 07 84.0
Houston 204 07 84.0
Houston 205 07 84.0
Houston 206 07 84.1
Houston 207 07 84.1
Houston 208 07 84.1
Houston 209 07 84.2
Houston 210 07 84.2
Houston 211 07 84.2
Houston 212 07 84.2
Houston 213 07 84.3
Houston 214 08 84.3
Houston 215 08 84.3
Houston 216 08 84.3
Houston 217 08 84.4
Houston 218 08 84.4
Houston 219 08 84.4
Houston 220 08 84.4
Houston 221 08 84.4
Houston 222 08 84.4
Houston 223 08 84.4
Houston 224 08 84.4
Houston 225 08 84.4
Houston 226 08 84.4
Houston 227 08 84.4
Houston 228 08 84.4
Houston 229 08 84.4
Houston 230 08 84.3
Houston 231 08 84.3
Houston 232 08 84.3
Houston 233 08 84.2
Houston 234 08 84.2
Houston 235 08 84.1
Houston 236 08 84.0
Houston 237 08 84.0
Houston 238 08 83.9
Houston 239 08 83.8
Houston 240 08 83.7
Houston 241 08 83.6
Houston 242 08 83.5
Houston 243 08 83.3
Houston 244 08 83.2
Houston 245 09 83.1
Houston 246 09 82.9
Houston 247 09 82.8
Houston 248 09 82.6
Houston 249 09 82.4
Houston 250 09 82.2
Houston 251 09 82.1
Houston 252 09 81.9
Houston 253 09 81.7
Houston 254 09 81.5
Houston 255 09 81.2
Houston 256 09 81.0
Houston 257 09 80.8
Houston 258 09 80.6
Houston 259 09 80.3
Houston 260 09 80.1
Houston 261 09 79.9
Houston 262 09 79.6
Houston 263 09 79.4
Houston 264 09 79.1
Houston 265 09 78.8
Houston 266 09 78.6
Houston 267 09 78.3
Houston 268 09 78.1
Houston 269 09 77.8
Houston 270 09 77.5
Houston 271 09 77.3
Houston 272 09 77.0
Houston 273 09 76.7
Houston 274 09 76.5
Houston 275 10 76.2
Houston 276 10 75.9
Houston 277 10 75.7
Houston 278 10 75.4
Houston 279 10 75.1
Houston 280 10 74.8
Houston 281 10 74.6
Houston 282 10 74.3
Houston 283 10 74.0
Houston 284 10 73.8
Houston 285 10 73.5
Houston 286 10 73.2
Houston 287 10 73.0
Houston 288 10 72.7
Houston 289 10 72.4
Houston 290 10 72.2
Houston 291 10 71.9
Houston 292 10 71.6
Houston 293 10 71.4
Houston 294 10 71.1
Houston 295 10 70.8
Houston 296 10 70.6
Houston 297 10 70.3
Houston 298 10 70.0
Houston 299 10 69.7
Houston 300 10 69.4
Houston 301 10 69.2
Houston 302 10 68.9
Houston 303 10 68.6
Houston 304 10 68.3
Houston 305 10 68.0
Houston 306 11 67.7
Houston 307 11 67.4
Houston 308 11 67.1
Houston 309 11 66.8
Houston 310 11 66.5
Houston 311 11 66.2
Houston 312 11 65.9
Houston 313 11 65.5
Houston 314 11 65.2
Houston 315 11 64.9
Houston 316 11 64.6
Houston 317 11 64.3
Houston 318 11 63.9
Houston 319 11 63.6
Houston 320 11 63.3
Houston 321 11 63.0
Houston 322 11 62.6
Houston 323 11 62.3
Houston 324 11 62.0
Houston 325 11 61.7
Houston 326 11 61.4
Houston 327 11 61.1
Houston 328 11 60.7
Houston 329 11 60.4
Houston 330 11 60.1
Houston 331 11 59.8
Houston 332 11 59.5
Houston 333 11 59.3
Houston 334 11 59.0
Houston 335 11 58.7
Houston 336 12 58.4
Houston 337 12 58.2
Houston 338 12 57.9
Houston 339 12 57.7
Houston 340 12 57.4
Houston 341 12 57.2
Houston 342 12 57.0
Houston 343 12 56.7
Houston 344 12 56.5
Houston 345 12 56.3
Houston 346 12 56.1
Houston 347 12 55.9
Houston 348 12 55.8
Houston 349 12 55.6
Houston 350 12 55.4
Houston 351 12 55.3
Houston 352 12 55.1
Houston 353 12 55.0
Houston 354 12 54.9
Houston 355 12 54.8
Houston 356 12 54.6
Houston 357 12 54.5
Houston 358 12 54.4
Houston 359 12 54.3
Houston 360 12 54.3
Houston 361 12 54.2
Houston 362 12 54.1
Houston 363 12 54.1
Houston 364 12 54.0
Houston 365 12 53.9
Houston 366 12 53.9
Chicago 1 01 25.6
Chicago 2 01 25.5
Chicago 3 01 25.3
Chicago 4 01 25.2
Chicago 5 01 25.1
Chicago 6 01 25.1
Chicago 7 01 25.0
Chicago 8 01 24.9
Chicago 9 01 24.8
Chicago 10 01 24.8
Chicago 11 01 24.7
Chicago 12 01 24.7
Chicago 13 01 24.6
Chicago 14 01 24.6
Chicago 15 01 24.5
Chicago 16 01 24.5
Chicago 17 01 24.5
Chicago 18 01 24.5
Chicago 19 01 24.5
Chicago 20 01 24.5
Chicago 21 01 24.5
Chicago 22 01 24.6
Chicago 23 01 24.6
Chicago 24 01 24.7
Chicago 25 01 24.7
Chicago 26 01 24.8
Chicago 27 01 24.9
Chicago 28 01 25.0
Chicago 29 01 25.1
Chicago 30 01 25.2
Chicago 31 01 25.3
Chicago 32 02 25.5
Chicago 33 02 25.6
Chicago 34 02 25.8
Chicago 35 02 26.0
Chicago 36 02 26.1
Chicago 37 02 26.3
Chicago 38 02 26.6
Chicago 39 02 26.8
Chicago 40 02 27.0
Chicago 41 02 27.3
Chicago 42 02 27.5
Chicago 43 02 27.8
Chicago 44 02 28.1
Chicago 45 02 28.3
Chicago 46 02 28.6
Chicago 47 02 28.9
Chicago 48 02 29.2
Chicago 49 02 29.6
Chicago 50 02 29.9
Chicago 51 02 30.2
Chicago 52 02 30.5
Chicago 53 02 30.9
Chicago 54 02 31.2
Chicago 55 02 31.6
Chicago 56 02 31.9
Chicago 57 02 32.3
Chicago 58 02 32.6
Chicago 59 02 33.0
Chicago 60 02 33.2
Chicago 61 03 33.3
Chicago 62 03 33.7
Chicago 63 03 34.1
Chicago 64 03 34.4
Chicago 65 03 34.8
Chicago 66 03 35.2
Chicago 67 03 35.5
Chicago 68 03 35.9
Chicago 69 03 36.3
Chicago 70 03 36.6
Chicago 71 03 37.0
Chicago 72 03 37.4
Chicago 73 03 37.7
Chicago 74 03 38.1
Chicago 75 03 38.5
Chicago 76 03 38.8
Chicago 77 03 39.2
Chicago 78 03 39.6
Chicago 79 03 39.9
Chicago 80 03 40.3
Chicago 81 03 40.7
Chicago 82 03 41.0
Chicago 83 03 41.4
Chicago 84 03 41.8
Chicago 85 03 42.2
Chicago 86 03 42.5
Chicago 87 03 42.9
Chicago 88 03 43.3
Chicago 89 03 43.7
Chicago 90 03 44.1
Chicago 91 03 44.4
Chicago 92 04 44.8
Chicago 93 04 45.2
Chicago 94 04 45.6
Chicago 95 04 46.0
Chicago 96 04 46.4
Chicago 97 04 46.8
Chicago 98 04 47.2
Chicago 99 04 47.6
Chicago 100 04 48.0
Chicago 101 04 48.4
Chicago 102 04 48.7
Chicago 103 04 49.1
Chicago 104 04 49.5
Chicago 105 04 49.9
Chicago 106 04 50.3
Chicago 107 04 50.7
Chicago 108 04 51.1
Chicago 109 04 51.5
Chicago 110 04 51.9
Chicago 111 04 52.2
Chicago 112 04 52.6
Chicago 113 04 53.0
Chicago 114 04 53.4
Chicago 115 04 53.7
Chicago 116 04 54.1
Chicago 117 04 54.5
Chicago 118 04 54.8
Chicago 119 04 55.2
Chicago 120 04 55.5
Chicago 121 04 55.8
Chicago 122 05 56.2
Chicago 123 05 56.5
Chicago 124 05 56.8
Chicago 125 05 57.2
Chicago 126 05 57.5
Chicago 127 05 57.8
Chicago 128 05 58.1
Chicago 129 05 58.4
Chicago 130 05 58.7
Chicago 131 05 59.0
Chicago 132 05 59.3
Chicago 133 05 59.6
Chicago 134 05 60.0
Chicago 135 05 60.3
Chicago 136 05 60.6
Chicago 137 05 60.9
Chicago 138 05 61.2
Chicago 139 05 61.5
Chicago 140 05 61.8
Chicago 141 05 62.1
Chicago 142 05 62.4
Chicago 143 05 62.7
Chicago 144 05 63.0
Chicago 145 05 63.4
Chicago 146 05 63.7
Chicago 147 05 64.0
Chicago 148 05 64.4
Chicago 149 05 64.7
Chicago 150 05 65.0
Chicago 151 05 65.4
Chicago 152 05 65.7
Chicago 153 06 66.1
Chicago 154 06 66.4
Chicago 155 06 66.8
Chicago 156 06 67.2
Chicago 157 06 67.5
Chicago 158 06 67.9
Chicago 159 06 68.2
Chicago 160 06 68.6
Chicago 161 06 69.0
Chicago 162 06 69.3
Chicago 163 06 69.7
Chicago 164 06 70.0
Chicago 165 06 70.4
Chicago 166 06 70.7
Chicago 167 06 71.1
Chicago 168 06 71.4
Chicago 169 06 71.7
Chicago 170 06 72.1
Chicago 171 06 72.4
Chicago 172 06 72.7
Chicago 173 06 73.0
Chicago 174 06 73.2
Chicago 175 06 73.5
Chicago 176 06 73.8
Chicago 177 06 74.0
Chicago 178 06 74.3
Chicago 179 06 74.5
Chicago 180 06 74.7
Chicago 181 06 74.9
Chicago 182 06 75.1
Chicago 183 07 75.2
Chicago 184 07 75.4
Chicago 185 07 75.5
Chicago 186 07 75.6
Chicago 187 07 75.7
Chicago 188 07 75.8
Chicago 189 07 75.9
Chicago 190 07 76.0
Chicago 191 07 76.0
Chicago 192 07 76.1
Chicago 193 07 76.1
Chicago 194 07 76.1
Chicago 195 07 76.2
Chicago 196 07 76.2
Chicago 197 07 76.2
Chicago 198 07 76.1
Chicago 199 07 76.1
Chicago 200 07 76.1
Chicago 201 07 76.1
Chicago 202 07 76.0
Chicago 203 07 76.0
Chicago 204 07 75.9
Chicago 205 07 75.9
Chicago 206 07 75.8
Chicago 207 07 75.8
Chicago 208 07 75.7
Chicago 209 07 75.7
Chicago 210 07 75.6
Chicago 211 07 75.5
Chicago 212 07 75.5
Chicago 213 07 75.4
Chicago 214 08 75.4
Chicago 215 08 75.3
Chicago 216 08 75.2
Chicago 217 08 75.2
Chicago 218 08 75.1
Chicago 219 08 75.1
Chicago 220 08 75.0
Chicago 221 08 75.0
Chicago 222 08 74.9
Chicago 223 08 74.8
Chicago 224 08 74.8
Chicago 225 08 74.7
Chicago 226 08 74.6
Chicago 227 08 74.6
Chicago 228 08 74.5
Chicago 229 08 74.4
Chicago 230 08 74.3
Chicago 231 08 74.2
Chicago 232 08 74.1
Chicago 233 08 74.0
Chicago 234 08 73.9
Chicago 235 08 73.7
Chicago 236 08 73.6
Chicago 237 08 73.4
Chicago 238 08 73.3
Chicago 239 08 73.1
Chicago 240 08 72.9
Chicago 241 08 72.7
Chicago 242 08 72.5
Chicago 243 08 72.3
Chicago 244 08 72.0
Chicago 245 09 71.8
Chicago 246 09 71.5
Chicago 247 09 71.2
Chicago 248 09 70.9
Chicago 249 09 70.6
Chicago 250 09 70.3
Chicago 251 09 69.9
Chicago 252 09 69.6
Chicago 253 09 69.2
Chicago 254 09 68.8
Chicago 255 09 68.5
Chicago 256 09 68.1
Chicago 257 09 67.7
Chicago 258 09 67.2
Chicago 259 09 66.8
Chicago 260 09 66.4
Chicago 261 09 66.0
Chicago 262 09 65.5
Chicago 263 09 65.1
Chicago 264 09 64.7
Chicago 265 09 64.2
Chicago 266 09 63.8
Chicago 267 09 63.3
Chicago 268 09 62.9
Chicago 269 09 62.4
Chicago 270 09 62.0
Chicago 271 09 61.6
Chicago 272 09 61.1
Chicago 273 09 60.7
Chicago 274 09 60.3
Chicago 275 10 59.9
Chicago 276 10 59.4
Chicago 277 10 59.0
Chicago 278 10 58.6
Chicago 279 10 58.2
Chicago 280 10 57.8
Chicago 281 10 57.5
Chicago 282 10 57.1
Chicago 283 10 56.7
Chicago 284 10 56.3
Chicago 285 10 56.0
Chicago 286 10 55.6
Chicago 287 10 55.3
Chicago 288 10 54.9
Chicago 289 10 54.5
Chicago 290 10 54.2
Chicago 291 10 53.9
Chicago 292 10 53.5
Chicago 293 10 53.2
Chicago 294 10 52.8
Chicago 295 10 52.5
Chicago 296 10 52.1
Chicago 297 10 51.8
Chicago 298 10 51.4
Chicago 299 10 51.1
Chicago 300 10 50.7
Chicago 301 10 50.3
Chicago 302 10 49.9
Chicago 303 10 49.6
Chicago 304 10 49.2
Chicago 305 10 48.8
Chicago 306 11 48.4
Chicago 307 11 48.0
Chicago 308 11 47.5
Chicago 309 11 47.1
Chicago 310 11 46.7
Chicago 311 11 46.2
Chicago 312 11 45.8
Chicago 313 11 45.3
Chicago 314 11 44.8
Chicago 315 11 44.4
Chicago 316 11 43.9
Chicago 317 11 43.4
Chicago 318 11 42.9
Chicago 319 11 42.4
Chicago 320 11 41.9
Chicago 321 11 41.4
Chicago 322 11 40.9
Chicago 323 11 40.4
Chicago 324 11 39.9
Chicago 325 11 39.4
Chicago 326 11 38.8
Chicago 327 11 38.3
Chicago 328 11 37.8
Chicago 329 11 37.3
Chicago 330 11 36.8
Chicago 331 11 36.3
Chicago 332 11 35.8
Chicago 333 11 35.4
Chicago 334 11 34.9
Chicago 335 11 34.4
Chicago 336 12 34.0
Chicago 337 12 33.5
Chicago 338 12 33.1
Chicago 339 12 32.7
Chicago 340 12 32.2
Chicago 341 12 31.8
Chicago 342 12 31.5
Chicago 343 12 31.1
Chicago 344 12 30.7
Chicago 345 12 30.4
Chicago 346 12 30.0
Chicago 347 12 29.7
Chicago 348 12 29.4
Chicago 349 12 29.1
Chicago 350 12 28.8
Chicago 351 12 28.5
Chicago 352 12 28.3
Chicago 353 12 28.0
Chicago 354 12 27.8
Chicago 355 12 27.6
Chicago 356 12 27.3
Chicago 357 12 27.1
Chicago 358 12 26.9
Chicago 359 12 26.7
Chicago 360 12 26.6
Chicago 361 12 26.4
Chicago 362 12 26.2
Chicago 363 12 26.1
Chicago 364 12 26.0
Chicago 365 12 25.8
Chicago 366 12 25.7
San Diego 1 01 55.2
San Diego 2 01 55.3
San Diego 3 01 55.3
San Diego 4 01 55.4
San Diego 5 01 55.4
San Diego 6 01 55.5
San Diego 7 01 55.5
San Diego 8 01 55.6
San Diego 9 01 55.6
San Diego 10 01 55.7
San Diego 11 01 55.7
San Diego 12 01 55.8
San Diego 13 01 55.8
San Diego 14 01 55.9
San Diego 15 01 55.9
San Diego 16 01 55.9
San Diego 17 01 56.0
San Diego 18 01 56.0
San Diego 19 01 56.0
San Diego 20 01 56.0
San Diego 21 01 56.1
San Diego 22 01 56.1
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San Diego 26 01 56.2
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San Diego 32 02 56.2
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San Diego 34 02 56.3
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San Diego 51 02 56.6
San Diego 52 02 56.7
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San Diego 56 02 56.8
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San Diego 61 03 56.9
San Diego 62 03 56.9
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San Diego 64 03 57.0
San Diego 65 03 57.0
San Diego 66 03 57.0
San Diego 67 03 57.0
San Diego 68 03 57.1
San Diego 69 03 57.1
San Diego 70 03 57.1
San Diego 71 03 57.1
San Diego 72 03 57.2
San Diego 73 03 57.2
San Diego 74 03 57.2
San Diego 75 03 57.3
San Diego 76 03 57.3
San Diego 77 03 57.3
San Diego 78 03 57.3
San Diego 79 03 57.4
San Diego 80 03 57.4
San Diego 81 03 57.5
San Diego 82 03 57.5
San Diego 83 03 57.6
San Diego 84 03 57.6
San Diego 85 03 57.7
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San Diego 88 03 57.8
San Diego 89 03 57.9
San Diego 90 03 58.0
San Diego 91 03 58.1
San Diego 92 04 58.1
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San Diego 94 04 58.3
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San Diego 98 04 58.7
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San Diego 100 04 59.0
San Diego 101 04 59.1
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San Diego 105 04 59.6
San Diego 106 04 59.8
San Diego 107 04 59.9
San Diego 108 04 60.1
San Diego 109 04 60.2
San Diego 110 04 60.3
San Diego 111 04 60.5
San Diego 112 04 60.6
San Diego 113 04 60.8
San Diego 114 04 60.9
San Diego 115 04 61.1
San Diego 116 04 61.2
San Diego 117 04 61.3
San Diego 118 04 61.5
San Diego 119 04 61.6
San Diego 120 04 61.7
San Diego 121 04 61.8
San Diego 122 05 61.9
San Diego 123 05 62.1
San Diego 124 05 62.2
San Diego 125 05 62.3
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San Diego 128 05 62.6
San Diego 129 05 62.7
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San Diego 131 05 62.8
San Diego 132 05 62.9
San Diego 133 05 63.0
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San Diego 135 05 63.1
San Diego 136 05 63.2
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San Diego 141 05 63.5
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San Diego 144 05 63.7
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San Diego 148 05 64.0
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San Diego 150 05 64.1
San Diego 151 05 64.2
San Diego 152 05 64.3
San Diego 153 06 64.4
San Diego 154 06 64.5
San Diego 155 06 64.6
San Diego 156 06 64.7
San Diego 157 06 64.8
San Diego 158 06 65.0
San Diego 159 06 65.1
San Diego 160 06 65.2
San Diego 161 06 65.4
San Diego 162 06 65.5
San Diego 163 06 65.7
San Diego 164 06 65.8
San Diego 165 06 66.0
San Diego 166 06 66.2
San Diego 167 06 66.3
San Diego 168 06 66.5
San Diego 169 06 66.7
San Diego 170 06 66.9
San Diego 171 06 67.1
San Diego 172 06 67.2
San Diego 173 06 67.4
San Diego 174 06 67.6
San Diego 175 06 67.8
San Diego 176 06 68.0
San Diego 177 06 68.2
San Diego 178 06 68.4
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San Diego 181 06 68.9
San Diego 182 06 69.1
San Diego 183 07 69.3
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San Diego 185 07 69.6
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San Diego 187 07 69.9
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San Diego 194 07 70.8
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San Diego 196 07 71.1
San Diego 197 07 71.2
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San Diego 200 07 71.4
San Diego 201 07 71.5
San Diego 202 07 71.6
San Diego 203 07 71.6
San Diego 204 07 71.7
San Diego 205 07 71.8
San Diego 206 07 71.8
San Diego 207 07 71.9
San Diego 208 07 71.9
San Diego 209 07 72.0
San Diego 210 07 72.0
San Diego 211 07 72.1
San Diego 212 07 72.1
San Diego 213 07 72.2
San Diego 214 08 72.2
San Diego 215 08 72.2
San Diego 216 08 72.3
San Diego 217 08 72.3
San Diego 218 08 72.4
San Diego 219 08 72.4
San Diego 220 08 72.4
San Diego 221 08 72.5
San Diego 222 08 72.5
San Diego 223 08 72.5
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San Diego 225 08 72.6
San Diego 226 08 72.6
San Diego 227 08 72.7
San Diego 228 08 72.7
San Diego 229 08 72.7
San Diego 230 08 72.7
San Diego 231 08 72.8
San Diego 232 08 72.8
San Diego 233 08 72.8
San Diego 234 08 72.8
San Diego 235 08 72.8
San Diego 236 08 72.8
San Diego 237 08 72.8
San Diego 238 08 72.8
San Diego 239 08 72.7
San Diego 240 08 72.7
San Diego 241 08 72.7
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San Diego 243 08 72.6
San Diego 244 08 72.6
San Diego 245 09 72.5
San Diego 246 09 72.4
San Diego 247 09 72.4
San Diego 248 09 72.3
San Diego 249 09 72.2
San Diego 250 09 72.1
San Diego 251 09 72.0
San Diego 252 09 71.9
San Diego 253 09 71.8
San Diego 254 09 71.7
San Diego 255 09 71.6
San Diego 256 09 71.4
San Diego 257 09 71.3
San Diego 258 09 71.1
San Diego 259 09 71.0
San Diego 260 09 70.8
San Diego 261 09 70.7
San Diego 262 09 70.5
San Diego 263 09 70.3
San Diego 264 09 70.2
San Diego 265 09 70.0
San Diego 266 09 69.8
San Diego 267 09 69.7
San Diego 268 09 69.5
San Diego 269 09 69.3
San Diego 270 09 69.1
San Diego 271 09 69.0
San Diego 272 09 68.8
San Diego 273 09 68.6
San Diego 274 09 68.4
San Diego 275 10 68.3
San Diego 276 10 68.1
San Diego 277 10 67.9
San Diego 278 10 67.8
San Diego 279 10 67.6
San Diego 280 10 67.4
San Diego 281 10 67.3
San Diego 282 10 67.1
San Diego 283 10 67.0
San Diego 284 10 66.8
San Diego 285 10 66.7
San Diego 286 10 66.5
San Diego 287 10 66.4
San Diego 288 10 66.2
San Diego 289 10 66.1
San Diego 290 10 65.9
San Diego 291 10 65.8
San Diego 292 10 65.6
San Diego 293 10 65.5
San Diego 294 10 65.3
San Diego 295 10 65.2
San Diego 296 10 65.0
San Diego 297 10 64.9
San Diego 298 10 64.7
San Diego 299 10 64.5
San Diego 300 10 64.4
San Diego 301 10 64.2
San Diego 302 10 64.0
San Diego 303 10 63.9
San Diego 304 10 63.7
San Diego 305 10 63.5
San Diego 306 11 63.3
San Diego 307 11 63.1
San Diego 308 11 62.9
San Diego 309 11 62.7
San Diego 310 11 62.5
San Diego 311 11 62.3
San Diego 312 11 62.0
San Diego 313 11 61.8
San Diego 314 11 61.6
San Diego 315 11 61.4
San Diego 316 11 61.1
San Diego 317 11 60.9
San Diego 318 11 60.6
San Diego 319 11 60.4
San Diego 320 11 60.1
San Diego 321 11 59.9
San Diego 322 11 59.6
San Diego 323 11 59.4
San Diego 324 11 59.2
San Diego 325 11 58.9
San Diego 326 11 58.7
San Diego 327 11 58.4
San Diego 328 11 58.2
San Diego 329 11 57.9
San Diego 330 11 57.7
San Diego 331 11 57.5
San Diego 332 11 57.3
San Diego 333 11 57.1
San Diego 334 11 56.9
San Diego 335 11 56.7
San Diego 336 12 56.5
San Diego 337 12 56.3
San Diego 338 12 56.1
San Diego 339 12 56.0
San Diego 340 12 55.8
San Diego 341 12 55.7
San Diego 342 12 55.5
San Diego 343 12 55.4
San Diego 344 12 55.3
San Diego 345 12 55.2
San Diego 346 12 55.1
San Diego 347 12 55.0
San Diego 348 12 55.0
San Diego 349 12 54.9
San Diego 350 12 54.9
San Diego 351 12 54.8
San Diego 352 12 54.8
San Diego 353 12 54.8
San Diego 354 12 54.8
San Diego 355 12 54.8
San Diego 356 12 54.8
San Diego 357 12 54.8
San Diego 358 12 54.8
San Diego 359 12 54.9
San Diego 360 12 54.9
San Diego 361 12 54.9
San Diego 362 12 55.0
San Diego 363 12 55.0
San Diego 364 12 55.1
San Diego 365 12 55.1
San Diego 366 12 55.2
\n\n`````\n:::\n:::\n\n\n\n:::\n\n## Temperatures mapped onto y position\n\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/temp-normals-vs-time-1.svg){width=80%}\n:::\n:::\n\n\n\n\n## Temperatures mapped onto color\n\n
\n\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/four-locations-temps-by-month-1.svg){width=100%}\n:::\n:::\n\n\n\n\n## Commonly used aesthetics\n\n![](https://clauswilke.com/dataviz/aesthetic_mapping_files/figure-html/common-aesthetics-1.png){width=90% fig-align=\"center\"}\n\n## The same data values can be mapped to different aesthetics\n\n![](https://clauswilke.com/dataviz/aesthetic_mapping_files/figure-html/basic-scales-example-1.png){width=90% fig-align=\"center\"}\n\n## We can use many different aesthetics at once\n\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/mtcars-five-scale-1.svg){width=60%}\n:::\n:::\n\n\n\n\n\n\n\n# Creating aesthetic mappings in ggplot\n\n## Getting the data\n\nAll examples will use the `temperatures` dataset:\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\ntemperatures <- read_csv(\"https://wilkelab.org/SDS366/datasets/tempnormals.csv\") |>\n mutate(\n location = factor(\n location, levels = c(\"Death Valley\", \"Houston\", \"San Diego\", \"Chicago\")\n )\n ) |>\n select(location, station_id, day_of_year, month, temperature)\n```\n:::\n\n\n\n\n## We define the mapping with `aes()`\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(\n data = temperatures,\n mapping = aes(x = day_of_year, y = temperature, color = location)\n) + \n geom_line()\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-temps-example-1.svg){width=65%}\n:::\n:::\n\n\n\n\n## We define the mapping with `aes()`\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(\n data = temperatures,\n mapping = aes(x = day_of_year, y = location, color = temperature)\n) + \n geom_point(size = 5)\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-temps-example2-1.svg){width=85%}\n:::\n:::\n\n\n\n\n## We frequently omit argument names\n\nLong form, all arguments are named:\n\n```r\nggplot(\n data = temperatures,\n mapping = aes(x = day_of_year, y = location, color = temperature)\n) + geom_point(size = 5)\n```\n\n::: {.fragment}\n
\n\nAbbreviated form, common arguments remain unnamed:\n\n```r\nggplot(temperatures, aes(day_of_year, location, color = temperature)) + \n geom_point(size = 5)\n```\n:::\n\n## The geom determines how the data is shown\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(temperatures, aes(day_of_year, temperature, color = location)) + \n geom_line()\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-temps-example5-1.svg){width=65%}\n:::\n:::\n\n\n\n\n## The geom determines how the data is shown\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(temperatures, aes(day_of_year, location, color = temperature)) + \n geom_point(size = 5)\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-temps-example6-1.svg){width=85%}\n:::\n:::\n\n\n\n\n## The geom determines how the data is shown\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(temperatures, aes(month, temperature, color = location)) + \n geom_boxplot()\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-temps-example7-1.svg){width=80%}\n:::\n:::\n\n\n\n\n## The geom determines how the data is shown\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(temperatures, aes(month, temperature, fill = location)) + \n geom_violin() + \n facet_wrap(~location) # make separate panel per location\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-temps-example8-1.svg){width=90%}\n:::\n:::\n\n\n\n\n\n\n# Important: Distinguish between `color` and `fill`\n\n## Distinguish between `color` and `fill`\n\n
\n\n::: {.fragment}\n`color`
\nApplies color to points, lines, text, borders\n:::\n\n
\n\n::: {.fragment}\n`fill`
\nApplies color to any filled areas \n:::\n\n## Many geoms use both `color` and `fill`\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(temperatures, aes(month, temperature, color = location)) + \n geom_boxplot()\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-color-fill-1.svg){width=80%}\n:::\n:::\n\n\n\n\n## Many geoms use both `color` and `fill`\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(temperatures, aes(month, temperature, fill = location)) + \n geom_boxplot()\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-color-fill2-1.svg){width=80%}\n:::\n:::\n\n\n\n\n## Many geoms use both `color` and `fill`\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(temperatures, aes(month, temperature, color = location, fill = location)) + \n geom_boxplot()\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-color-fill3-1.svg){width=80%}\n:::\n:::\n\n\n\n\n## Aesthetics can also be used as parameters\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(temperatures, aes(month, temperature, fill = location)) + \n geom_boxplot(color = \"steelblue\")\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-color-fill-params-1.svg){width=80%}\n:::\n:::\n\n\n\n\n## Aesthetics can also be used as parameters\n\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(temperatures, aes(month, temperature, color = location)) + \n geom_boxplot(fill = \"steelblue\")\n```\n\n::: {.cell-output-display}\n![ ](aesthetic-mappings_files/figure-revealjs/ggplot-color-fill-params2-1.svg){width=80%}\n:::\n:::\n\n\n\n\n\n\n## Further reading\n\n::: {.small-font}\n- Fundamentals of Data Visualization: [Chapter 2: Visualizing data](https://clauswilke.com/dataviz/aesthetic-mapping.html)\n- Data Visualization—A Practical Introduction: [Chapter 3: Make a plot](https://socviz.co/makeplot.html#makeplot)\n- [**ggplot2** reference documentation](https://ggplot2.tidyverse.org/reference/index.html)\n- [**ggplot2** book](https://ggplot2-book.org/)\n- [**ggplot2** cheatsheet](https://raw.githubusercontent.com/rstudio/cheatsheets/main/data-visualization.pdf)\n:::\n\n", "supporting": [ "aesthetic-mappings_files" ], diff --git a/_freeze/slides/telling-a-story/execute-results/html.json b/_freeze/slides/telling-a-story/execute-results/html.json index 93e37e2..59f2bb8 100644 --- a/_freeze/slides/telling-a-story/execute-results/html.json +++ b/_freeze/slides/telling-a-story/execute-results/html.json @@ -1,8 +1,8 @@ { - "hash": "1119316fcac3a3235a521a930d9df41f", + "hash": "9f69b7a085929fbbd285ef0925f907ff", "result": { "engine": "knitr", - "markdown": "---\ntitle: \"Telling a story\"\nauthor: \"Claus O. Wilke\"\nformat: \n revealjs:\n theme:\n - default\n - Wilke-theme.scss\n auto-stretch: false\nexecute:\n fig-format: svg\n fig-asp: 0.618\n fig-width: 5.5\n---\n\n\n\n\n\n\n## How did I get to teach data visualization?\n\n![](../assets/telling-a-story/cowplot-logo.svg){.fragment .absolute top=\"22%\" left=\"13%\" width=\"30%\" }\n\n![](https://clauswilke.com/dataviz/cover.png){.fragment .absolute top=\"20%\" left=\"53%\" width=\"30%\" style=\"box-shadow: 3px 5px 3px 1px #00000080;\"}\n\n## What is a story?\n\n
\n\n::: {.fragment}\nA story is a collection of observations, facts, or events presented in a specific order such that they create an [emotional reaction.]{.highlight}\n:::\n\n\n## Every story needs an arc\n\n::: {.fragment .center-text}\nOpening\n:::\n\n::: {.fragment .center-text}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: 0; margin-bottom: -0.3em;\"}\n\nChallenge\n:::\n\n::: {.fragment .center-text}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: 0; margin-bottom: -0.3em;\"}\n\nAction\n:::\n\n::: {.fragment .center-text}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: 0; margin-bottom: -0.3em;\"}\n\nResolution\n:::\n\n## Every story needs an arc\n\n::: {.center-text}\nOpening\n:::\n\n::: {.center-text .highlight}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: 0; margin-bottom: -0.3em;\"}\n\nChallenge\n:::\n\n::: {.center-text}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: 0; margin-bottom: -0.3em;\"}\n\nAction\n:::\n\n::: {.center-text .highlight}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: 0; margin-bottom: -0.3em;\"}\n\nResolution\n:::\n\n::: {.absolute-bottom-right .small-font}\nChallenge and resolution are
the two most important parts\n:::\n\n## Mapping my story onto this format\n\n::: {.fragment .small-font .move-down-1em}\n**Opening:** We need to make many data visualizations in my lab\n:::\n\n::: {.fragment .small-font .move-down-1em}\n**Challenge:** I end up telling my students the same things over and over\n:::\n\n::: {.fragment .small-font .move-down-1em}\n**Action:** I go and write a book about data visualization\n:::\n\n::: {.fragment .small-font .move-down-1em}\n**Resolution:** The book is written. But now I teach the material, so I still keep saying the same things over and over\n:::\n\n## Other story structures\n\n::: {.fragment .center-text .move-up-half-em}\nAction\n:::\n\n::: {.fragment .center-text}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: -0.1em; margin-bottom: -0.5em;\"}\n\nBackground\n:::\n\n::: {.fragment .center-text}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: -0.1em; margin-bottom: -0.5em;\"}\n\nDevelopment\n:::\n\n::: {.fragment .center-text}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: -0.1em; margin-bottom: -0.5em;\"}\n\nClimax\n:::\n\n::: {.fragment .center-text}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: -0.1em; margin-bottom: -0.5em;\"}\n\nEnding\n:::\n\n::: {.fragment .absolute-bottom-right .small-font}\n(Better for action movies
than for scientific reports)\n:::\n\n## Mapping my story onto this format\n\n::: {.fragment .move-down-1em .small-font}\n**Action:** In May 2017, I embark on a major project: Write a book on data visualization\n:::\n\n::: {.fragment .move-down-1em .small-font}\n**Background:** I do this because we need to make many data visualizations in my lab, and I end up telling my students the same things over and over\n:::\n\n::: {.fragment .move-down-1em .small-font}\n**Development:** Writing the book takes me almost two years; along the way, I add many features to ggplot2 and become a member of the ggplot2 team\n:::\n\n::: {.fragment .move-down-1em .small-font}\n**Climax:** The book is released in April 2019\n:::\n\n::: {.fragment .move-down-1em .small-font}\n**Ending:** Now I'm a dataviz teacher\n:::\n\n## Other story structures\n\n

\n\n::: {.fragment .center-text}\nLead\n:::\n\n::: {.fragment .center-text}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: 0; margin-bottom: -0.3em;\"}\n\nDevelopment\n:::\n\n::: {.fragment .absolute-bottom-right .small-font}\n(Commonly used in newspaper articles)\n:::\n\n## Mapping my story onto this format\n\n::: {.fragment .small-font .move-down-1em}\n**Lead:** Because I see the need for more education in data visualization, I have written an entire book about the topic\n:::\n\n::: {.fragment .small-font .move-down-1em}\n**Development:** I had previously written an R package to improve figure design, but it wasn't sufficient: Good judgement cannot be automated\n:::\n\n::: {.fragment .small-font .move-down-1em}\nSo I wrote a book; the book is entirely about concepts, not about coding, and it is meant as a resource for anybody doing data visualizations, regardless of their preferred visualization software\n:::\n\n\n\n# Telling a story with figures\n\n## Example: Preprints in biology\n\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](telling-a-story_files/figure-revealjs/preprints-part1-1.svg){width=80%}\n:::\n:::\n\n\n\n\n::: {.absolute-bottom-right}\nOpening\n:::\n\n## Example: Preprints in biology\n\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](telling-a-story_files/figure-revealjs/preprints-part2-1.svg){width=80%}\n:::\n:::\n\n\n\n\n[What happened in 2014 to curtail the growth?]{.small-font style=\"position: absolute; top: 42%; left: 58%; width: 3.8in; background: white;\"}\n\n\n::: {.absolute-bottom-right}\nChallenge\n:::\n\n## Example: Preprints in biology\n\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](telling-a-story_files/figure-revealjs/preprints-part3-1.svg){width=80%}\n:::\n:::\n\n\n\n\n[bioRxiv opened in 2014]{.small-font style=\"position: absolute; top: 60%; left: 62%; width: 3.8in; background: white;\"}\n\n\n::: {.absolute-bottom-right}\nResolution\n:::\n\n## Keep in mind\n\n::: {.incremental}\n- Every figure needs a clear purpose within the story arc\n- A complete arc will usually require at least two figures\n:::\n\n## Prepare figures that make a clear point\n\n:::{.fragment}\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](telling-a-story_files/figure-revealjs/arrival-delay-vs-distance-1.svg){width=80%}\n:::\n:::\n\n\n\n:::\n\n## Prepare figures that make a clear point\n\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](telling-a-story_files/figure-revealjs/mean-arrival-delay-nyc-1.svg){width=80%}\n:::\n:::\n\n\n\n\n[American and Delta have the shortest delays]{.small-font style=\"position: absolute; top: 14%; left: 38%; width: 3.8in; background: white;\"}\n\n## Make your figures memorable\n\n
\n\n![](https://clauswilke.com/dataviz/telling_a_story_files/figure-html/petownership-bar-1.png){.fragment width=\"80%\" fig-align=\"center\"}\n\n## Make your figures memorable\n\n
\n\n![](https://clauswilke.com/dataviz/telling_a_story_files/figure-html/petownership-isotype-1.png){width=\"80%\" fig-align=\"center\"}\n\n\n\n## Further reading\n\n::: {.small-font}\n- Fundamentals of Data Visualization: [Chapter 29: Telling a story and making a point](https://clauswilke.com/dataviz/telling-a-story.html)\n\n- Joshua Schimel (2011) Writing Science: How to Write Papers That Get Cited and Proposals That Get Funded\n:::", + "markdown": "---\ntitle: \"Telling a story\"\nauthor: \"Claus O. Wilke\"\ndate: today\nformat: \n revealjs:\n theme:\n - default\n - Wilke-theme.scss\n auto-stretch: false\n chalkboard: true\nexecute:\n fig-format: svg\n fig-asp: 0.618\n fig-width: 5.5\n---\n\n\n\n\n\n\n## How did I get to teach data visualization?\n\n![](../assets/telling-a-story/cowplot-logo.svg){.fragment .absolute top=\"22%\" left=\"13%\" width=\"30%\" }\n\n![](https://clauswilke.com/dataviz/cover.png){.fragment .absolute top=\"20%\" left=\"53%\" width=\"30%\" style=\"box-shadow: 3px 5px 3px 1px #00000080;\"}\n\n## What is a story?\n\n
\n\n::: {.fragment}\nA story is a collection of observations, facts, or events presented in a specific order such that they create an [emotional reaction.]{.highlight}\n:::\n\n\n## Every story needs an arc\n\n::: {.fragment .center-text}\nOpening\n:::\n\n::: {.fragment .center-text}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: 0; margin-bottom: -0.3em;\"}\n\nChallenge\n:::\n\n::: {.fragment .center-text}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: 0; margin-bottom: -0.3em;\"}\n\nAction\n:::\n\n::: {.fragment .center-text}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: 0; margin-bottom: -0.3em;\"}\n\nResolution\n:::\n\n## Every story needs an arc\n\n::: {.center-text}\nOpening\n:::\n\n::: {.center-text .highlight}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: 0; margin-bottom: -0.3em;\"}\n\nChallenge\n:::\n\n::: {.center-text}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: 0; margin-bottom: -0.3em;\"}\n\nAction\n:::\n\n::: {.center-text .highlight}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: 0; margin-bottom: -0.3em;\"}\n\nResolution\n:::\n\n::: {.absolute-bottom-right .small-font}\nChallenge and resolution are
the two most important parts\n:::\n\n## Mapping my story onto this format\n\n::: {.fragment .small-font .move-down-1em}\n**Opening:** We need to make many data visualizations in my lab\n:::\n\n::: {.fragment .small-font .move-down-1em}\n**Challenge:** I end up telling my students the same things over and over\n:::\n\n::: {.fragment .small-font .move-down-1em}\n**Action:** I go and write a book about data visualization\n:::\n\n::: {.fragment .small-font .move-down-1em}\n**Resolution:** The book is written. But now I teach the material, so I still keep saying the same things over and over\n:::\n\n## Other story structures\n\n::: {.fragment .center-text .move-up-half-em}\nAction\n:::\n\n::: {.fragment .center-text}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: -0.1em; margin-bottom: -0.5em;\"}\n\nBackground\n:::\n\n::: {.fragment .center-text}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: -0.1em; margin-bottom: -0.5em;\"}\n\nDevelopment\n:::\n\n::: {.fragment .center-text}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: -0.1em; margin-bottom: -0.5em;\"}\n\nClimax\n:::\n\n::: {.fragment .center-text}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: -0.1em; margin-bottom: -0.5em;\"}\n\nEnding\n:::\n\n::: {.fragment .absolute-bottom-right .small-font}\n(Better for action movies
than for scientific reports)\n:::\n\n## Mapping my story onto this format\n\n::: {.fragment .move-down-1em .small-font}\n**Action:** In May 2017, I embark on a major project: Write a book on data visualization\n:::\n\n::: {.fragment .move-down-1em .small-font}\n**Background:** I do this because we need to make many data visualizations in my lab, and I end up telling my students the same things over and over\n:::\n\n::: {.fragment .move-down-1em .small-font}\n**Development:** Writing the book takes me almost two years; along the way, I add many features to ggplot2 and become a member of the ggplot2 team\n:::\n\n::: {.fragment .move-down-1em .small-font}\n**Climax:** The book is released in April 2019\n:::\n\n::: {.fragment .move-down-1em .small-font}\n**Ending:** Now I'm a dataviz teacher\n:::\n\n## Other story structures\n\n

\n\n::: {.fragment .center-text}\nLead\n:::\n\n::: {.fragment .center-text}\n![](../assets/telling-a-story/arrow.svg){width=\"3%\" style=\"margin-top: 0; margin-bottom: -0.3em;\"}\n\nDevelopment\n:::\n\n::: {.fragment .absolute-bottom-right .small-font}\n(Commonly used in newspaper articles)\n:::\n\n## Mapping my story onto this format\n\n::: {.fragment .small-font .move-down-1em}\n**Lead:** Because I see the need for more education in data visualization, I have written an entire book about the topic\n:::\n\n::: {.fragment .small-font .move-down-1em}\n**Development:** I had previously written an R package to improve figure design, but it wasn't sufficient: Good judgement cannot be automated\n:::\n\n::: {.fragment .small-font .move-down-1em}\nSo I wrote a book; the book is entirely about concepts, not about coding, and it is meant as a resource for anybody doing data visualizations, regardless of their preferred visualization software\n:::\n\n\n\n# Telling a story with figures\n\n## Example: Preprints in biology\n\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](telling-a-story_files/figure-revealjs/preprints-part1-1.svg){width=80%}\n:::\n:::\n\n\n\n\n::: {.absolute-bottom-right}\nOpening\n:::\n\n## Example: Preprints in biology\n\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](telling-a-story_files/figure-revealjs/preprints-part2-1.svg){width=80%}\n:::\n:::\n\n\n\n\n[What happened in 2014 to curtail the growth?]{.small-font style=\"position: absolute; top: 42%; left: 58%; width: 3.8in; background: white;\"}\n\n\n::: {.absolute-bottom-right}\nChallenge\n:::\n\n## Example: Preprints in biology\n\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](telling-a-story_files/figure-revealjs/preprints-part3-1.svg){width=80%}\n:::\n:::\n\n\n\n\n[bioRxiv opened in 2014]{.small-font style=\"position: absolute; top: 60%; left: 62%; width: 3.8in; background: white;\"}\n\n\n::: {.absolute-bottom-right}\nResolution\n:::\n\n## Keep in mind\n\n::: {.incremental}\n- Every figure needs a clear purpose within the story arc\n- A complete arc will usually require at least two figures\n:::\n\n## Prepare figures that make a clear point\n\n:::{.fragment}\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](telling-a-story_files/figure-revealjs/arrival-delay-vs-distance-1.svg){width=80%}\n:::\n:::\n\n\n\n:::\n\n## Prepare figures that make a clear point\n\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](telling-a-story_files/figure-revealjs/mean-arrival-delay-nyc-1.svg){width=80%}\n:::\n:::\n\n\n\n\n[American and Delta have the shortest delays]{.small-font style=\"position: absolute; top: 14%; left: 38%; width: 3.8in; background: white;\"}\n\n## Make your figures memorable\n\n
\n\n![](https://clauswilke.com/dataviz/telling_a_story_files/figure-html/petownership-bar-1.png){.fragment width=\"80%\" fig-align=\"center\"}\n\n## Make your figures memorable\n\n
\n\n![](https://clauswilke.com/dataviz/telling_a_story_files/figure-html/petownership-isotype-1.png){width=\"80%\" fig-align=\"center\"}\n\n\n\n## Further reading\n\n::: {.small-font}\n- Fundamentals of Data Visualization: [Chapter 29: Telling a story and making a point](https://clauswilke.com/dataviz/telling-a-story.html)\n\n- Joshua Schimel (2011) Writing Science: How to Write Papers That Get Cited and Proposals That Get Funded\n:::", "supporting": [ "telling-a-story_files" ], diff --git a/_freeze/slides/visualizing-amounts/execute-results/html.json b/_freeze/slides/visualizing-amounts/execute-results/html.json new file mode 100644 index 0000000..6ca7952 --- /dev/null +++ b/_freeze/slides/visualizing-amounts/execute-results/html.json @@ -0,0 +1,21 @@ +{ + "hash": "68366f8ef1f8fe22fdee0bc9e7b3086b", + "result": { + "engine": "knitr", + "markdown": "---\ntitle: \"Visualizing amounts\"\nauthor: \"Claus O. Wilke\"\ndate: today\nformat: \n revealjs:\n theme:\n - default\n - Wilke-theme.scss\n auto-stretch: false\n chalkboard: true\nexecute:\n fig-format: svg\n fig-asp: 0.618\n fig-width: 5.5\n---\n\n\n\n\n\n\n## Many datasets contain simple amounts\n\n
\n\n::: {.fragment}\nExample: Highest grossing movies Dec. 2017\n\n::: {.small-font}\n\n\n::: {.cell}\n::: {.cell-output-display}\n`````{=html}\n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n
rank title amount
1 Star Wars 71.57
2 Jumanji 36.17
3 Pitch Perfect 3 19.93
4 Greatest Showman 8.81
5 Ferdinand 7.32
\n\n`````\n:::\n:::\n\n\n:::\n\n::: {.absolute-bottom-right .tiny-font}\nData source: Box Office Mojo\n:::\n:::\n\n## We can visualize amounts with bar plots\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/boxoffice-vertical-1.svg){width=90%}\n:::\n:::\n\n\n\n## Bars can also run horizontally\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/boxoffice-horizontal-1.svg){width=70%}\n:::\n:::\n\n\n\n## Avoid rotated axis labels\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/boxoffice-rot-axis-tick-labels-1.svg){width=60%}\n:::\n:::\n\n\n\n## Avoid rotated axis labels\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/boxoffice-horizontal2-1.svg){width=70%}\n:::\n:::\n\n\n\n## Pay attention to the order of the bars\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/boxoffice-horizontal-unordered-1.svg){width=70%}\n:::\n:::\n\n\n\n## Pay attention to the order of the bars\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/boxoffice-horizontal3-1.svg){width=70%}\n:::\n:::\n\n\n\n## We can use dots instead of bars\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/boxoffice-dotplot-1.svg){width=70%}\n:::\n:::\n\n\n\n## Dots are preferable if we want to truncate the axes\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/Americas-life-expect-1.svg){width=60%}\n:::\n:::\n\n\n## Dots are preferable if we want to truncate the axes\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/Americas-life-expect-bad1-1.svg){width=60%}\n:::\n:::\n\n\n\n::: {.absolute-bottom-right .small-font}\nBar lengths do
not accurately
represent the
data values
 \n:::\n\n## Dots are preferable if we want to truncate the axes\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/Americas-life-expect-bad2-1.svg){width=60%}\n:::\n:::\n\n\n\n::: {.absolute-bottom-right .small-font}\nKey features
of the data
are obscured
 \n:::\n\n## Dots are preferable if we want to truncate the axes\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/Americas-life-expect2-1.svg){width=60%}\n:::\n:::\n\n\n\n\n\n# Grouped bars\n\n## We use grouped bars for higher-dimensional datasets\n\n::: {.fragment}\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/income-by-age-race-dodged-1.svg){width=95%}\n:::\n:::\n\n\n\n::: {.absolute-bottom-right .tiny-font}\nData source: United States Census Bureau, 2016\n:::\n:::\n\n## We are free to choose by which variable to group\n\n
\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/income-by-race-age-dodged-1.svg){width=85%}\n:::\n:::\n\n\n\n::: {.absolute-bottom-right .tiny-font}\nData source: United States Census Bureau, 2016\n:::\n\n## We can also use multiple plot panels (facets)\n\n\n\n::: {.cell}\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/income-by-age-race-faceted-1.svg){width=85%}\n:::\n:::\n\n\n\n::: {.absolute-bottom-right .tiny-font}\nData source: United States Census Bureau, 2016\n:::\n\n\n\n# Making bar plots in **ggplot2**\n\n## Dataset: Highest grossing movies Dec. 2017\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\n# Data from Box Office Mojo for Dec. 22-24, 2017. \nboxoffice <- tibble(\n rank = 1:5,\n title = c(\n \"Star Wars\", \"Jumanji\", \"Pitch Perfect 3\",\n \"Greatest Showman\", \"Ferdinand\"\n ),\n amount = c(71.57, 36.17, 19.93, 8.81, 7.32) # million USD\n)\n\nboxoffice\n```\n\n::: {.cell-output .cell-output-stdout}\n\n```\n# A tibble: 5 × 3\n rank title amount\n \n1 1 Star Wars 71.6 \n2 2 Jumanji 36.2 \n3 3 Pitch Perfect 3 19.9 \n4 4 Greatest Showman 8.81\n5 5 Ferdinand 7.32\n```\n\n\n:::\n:::\n\n\n\n## Visualize as a bar plot\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(boxoffice, aes(title, amount)) +\n geom_col() # \"col\" stands for column\n```\n\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/boxoffice-naive-1.svg){width=75%}\n:::\n:::\n\n\n\n## Order by data value\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(boxoffice, aes(fct_reorder(title, amount), amount)) +\n geom_col() # \"col\" stands for column\n```\n\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/boxoffice-ordered-1.svg){width=75%}\n:::\n:::\n\n\n\n## Order by data value, descending\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(boxoffice, aes(fct_reorder(title, -amount), amount)) +\n geom_col() + \n xlab(NULL) # remove x axis label\n```\n\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/boxoffice-ordered2-1.svg){width=75%}\n:::\n:::\n\n\n\n## Flip x and y, set custom x axis label\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(boxoffice, aes(amount, fct_reorder(title, amount))) +\n geom_col() +\n xlab(\"amount (in million USD)\") +\n ylab(NULL)\n```\n\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/boxoffice-ordered3-1.svg){width=65%}\n:::\n:::\n\n\n\n# Sometimes we need to count before visualization\n\n## Example: Visualize number of penguins per species\n\n::: {.small-font}\n\n\n::: {.cell}\n::: {.cell-output .cell-output-stdout}\n\n```\n# A tibble: 344 × 8\n species island bill_length_mm bill_depth_mm flipper_length_mm body_mass_g\n \n 1 Adelie Torgersen 39.1 18.7 181 3750\n 2 Adelie Torgersen 39.5 17.4 186 3800\n 3 Adelie Torgersen 40.3 18 195 3250\n 4 Adelie Torgersen NA NA NA NA\n 5 Adelie Torgersen 36.7 19.3 193 3450\n 6 Adelie Torgersen 39.3 20.6 190 3650\n 7 Adelie Torgersen 38.9 17.8 181 3625\n 8 Adelie Torgersen 39.2 19.6 195 4675\n 9 Adelie Torgersen 34.1 18.1 193 3475\n10 Adelie Torgersen 42 20.2 190 4250\n# ℹ 334 more rows\n# ℹ 2 more variables: sex , year \n```\n\n\n:::\n:::\n\n\n:::\n\n![](https://raw.githubusercontent.com/allisonhorst/palmerpenguins/master/man/figures/logo.png){.absolute top=\"0%\" left=\"90%\" width=\"12%\"}\n\n## Use `geom_bar()` to count before plotting\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(penguins, aes(y = species)) + # no x aesthetic needed\n geom_bar()\n```\n\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/penguins-bars-1.svg){width=65%}\n:::\n:::\n\n\n\n## Getting the bars into the right order\n\n::: {.fragment}\n::: {.small-font}\nOption 1: Manually, using `fct_relevel()`\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(penguins, aes(y = fct_relevel(species, \"Chinstrap\", \"Gentoo\", \"Adelie\"))) +\n geom_bar() +\n ylab(NULL)\n```\n\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/penguins-bars2-1.svg){width=65%}\n:::\n:::\n\n\n:::\n:::\n\n## Getting the bars into the right order\n\n::: {.small-font}\nOption 2: Using `fct_rev()` and `fct_infreq()` from the **forcats** package\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(penguins, aes(y = fct_rev(fct_infreq(species)))) +\n geom_bar() +\n ylab(NULL)\n```\n\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/penguins-bars3-1.svg){width=65%}\n:::\n:::\n\n\n:::\n\n## Display counts by species and sex\n\n::: {.small-font}\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(penguins, aes(sex, fill = species)) +\n geom_bar()\n```\n\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/penguins-sex-species-1.svg){width=65%}\n:::\n:::\n\n\n:::\n\n## Remove missing values (`NA`s)\n\n::: {.small-font}\n\n\n::: {.cell}\n\n```{.r .cell-code}\npenguins2 <- na.omit(penguins) # remove all rows with any missing values\n\nggplot(penguins2, aes(sex, fill = species)) +\n geom_bar()\n```\n\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/penguins-sex-species2-1.svg){width=65%}\n:::\n:::\n\n\n:::\n\n## Positions define how subgroups are shown\n\n::: {.small-font}\n`position = \"dodge\"`: Place bars for subgroups side-by-side\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(penguins2, aes(sex, fill = species)) +\n geom_bar(position = \"dodge\")\n```\n\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/penguins-sex-species-dodge-1.svg){width=65%}\n:::\n:::\n\n\n:::\n\n## Positions define how subgroups are shown\n\n::: {.small-font}\n`position = \"stack\"`: Place bars for subgroups on top of each other\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(penguins2, aes(sex, fill = species)) +\n geom_bar(position = \"stack\")\n```\n\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/penguins-sex-species-stack-1.svg){width=65%}\n:::\n:::\n\n\n:::\n\n## Positions define how subgroups are shown\n\n::: {.small-font}\n`position = \"fill\"`: Like `\"stack\"`, but scale to 100%\n\n\n\n::: {.cell}\n\n```{.r .cell-code}\nggplot(penguins2, aes(sex, fill = species)) +\n geom_bar(position = \"fill\")\n```\n\n::: {.cell-output-display}\n![ ](visualizing-amounts_files/figure-revealjs/penguins-sex-species-fill-1.svg){width=65%}\n:::\n:::\n\n\n:::\n\n\n\n## Further reading\n\n::: {.small-font}\n- Fundamentals of Data Visualization: [Chapter 6: Visualizing amounts](https://clauswilke.com/dataviz/visualizing-amounts.html)\n- Data Visualization—A Practical Introduction: [Chapter 4.4: Geoms can transform data](https://socviz.co/groupfacettx.html#statfunctions)\n- **ggplot2** reference documentation: [`geom_bar()`, `geom_col()`](https://ggplot2.tidyverse.org/reference/geom_bar.html)\n- **ggplot2** reference 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website: href: slides/aesthetic-mappings.qmd - text: "Class 3: Telling a story" href: slides/telling-a-story.qmd + - text: "Class 3: Visualizing amounts" + href: worksheets/visualizing-amounts.Rmd - text: "Worksheets" menu: diff --git a/_site/index.html b/_site/index.html index 33fc37e..90e602d 100644 --- a/_site/index.html +++ b/_site/index.html @@ -149,6 +149,10 @@
  • Class 3: Telling a story +
    • +
  • + + Class 3: Visualizing amounts
    • diff --git a/_site/schedule.html b/_site/schedule.html index 0d6601f..471b8fb 100644 --- a/_site/schedule.html +++ b/_site/schedule.html @@ -114,6 +114,10 @@
  • Class 3: Telling a story +
    • +
  • + + Class 3: Visualizing amounts
    • diff --git a/_site/search.json b/_site/search.json index b61e50e..41756ef 100644 --- a/_site/search.json +++ b/_site/search.json @@ -1,269 +1,430 @@ [ { - "objectID": "worksheets/coordinate-systems-axes.html", - "href": "worksheets/coordinate-systems-axes.html", - "title": "Coordinate systems and axes", - "section": "", - "text": "In this worksheet, we will discuss how to change and customize scales and coordinate systems.\nFirst we need to load the required R packages. Please wait a moment until the live R session is fully set up and all packages are loaded.\n\n\n\n\n\n\n\n\nNext we set up the data.\n\n\n\n\n\n\n\n\nWe will be working with three different datasets, boxoffice, temperatures, and tx_counties. You have already seen the first two previously.\nThe boxoffice dataset contains box-office gross results for Dec. 22-24, 2017.\n\n\n\n\n\n\n\n\nThe temperatures dataset contains the average temperature for each day of the year for four different locations.\n\n\n\n\n\n\n\n\nThe tx_counties dataset holds information about how many people lived in Texas counties in 2010. The column popratio is the ratio of the number of inhabitants to the median across all counties, and the column index simply counts the counties from most populous to least populous." + "objectID": "slides/visualizing-amounts.html#many-datasets-contain-simple-amounts", + "href": "slides/visualizing-amounts.html#many-datasets-contain-simple-amounts", + "title": "Visualizing amounts", + "section": "Many datasets contain simple amounts", + "text": "Many datasets contain simple amounts\n\n\nExample: Highest grossing movies Dec. 2017\n\n\n\n\n\n\nrank\ntitle\namount\n\n\n\n\n1\nStar Wars\n71.57\n\n\n2\nJumanji\n36.17\n\n\n3\nPitch Perfect 3\n19.93\n\n\n4\nGreatest Showman\n8.81\n\n\n5\nFerdinand\n7.32\n\n\n\n\n\n\n\n\n\nData source: Box Office Mojo" }, { - "objectID": "worksheets/coordinate-systems-axes.html#introduction", - "href": "worksheets/coordinate-systems-axes.html#introduction", - "title": "Coordinate systems and axes", - "section": "", - "text": "In this worksheet, we will discuss how to change and customize scales and coordinate systems.\nFirst we need to load the required R packages. Please wait a moment until the live R session is fully set up and all packages are loaded.\n\n\n\n\n\n\n\n\nNext we set up the data.\n\n\n\n\n\n\n\n\nWe will be working with three different datasets, boxoffice, temperatures, and tx_counties. You have already seen the first two previously.\nThe boxoffice dataset contains box-office gross results for Dec. 22-24, 2017.\n\n\n\n\n\n\n\n\nThe temperatures dataset contains the average temperature for each day of the year for four different locations.\n\n\n\n\n\n\n\n\nThe tx_counties dataset holds information about how many people lived in Texas counties in 2010. The column popratio is the ratio of the number of inhabitants to the median across all counties, and the column index simply counts the counties from most populous to least populous." + "objectID": "slides/visualizing-amounts.html#we-can-visualize-amounts-with-bar-plots", + "href": "slides/visualizing-amounts.html#we-can-visualize-amounts-with-bar-plots", + "title": "Visualizing amounts", + "section": "We can visualize amounts with bar plots", + "text": "We can visualize amounts with bar plots" }, { - "objectID": "worksheets/coordinate-systems-axes.html#scale-customizations", - "href": "worksheets/coordinate-systems-axes.html#scale-customizations", - "title": "Coordinate systems and axes", - "section": "Scale customizations", - "text": "Scale customizations\nWe can modify the appearance of the x and y axis with scale functions. All scale functions have name of the form scale_aesthetic_type(), where aesthetic stands for an aesthetic to which we’re mapping data (e.g., x, y, color, fill, etc), and type stands for the specific type of the scale. What scale types are available depends on both the aesthetic and the data.\nHere, we only consider position scales, which are scales for the x and y aesthetics. The most commonly used scales types for position scales are continuous for continuous data and discrete for discrete data, yielding the scale functions scale_x_continuous(), scale_y_continuous(), scale_x_discrete(), and scale_y_discrete(). But there are others, such as date, time, or binned. You can look them up here: https://ggplot2.tidyverse.org/reference/index.html#section-scales\nPosition scale functions are used to modify both the appearance of the axis (axis title, axis labels, number and location of breaks, etc.) and the mapping from data to position (including the range of data values considered, i.e., axis limits, and whether the data should be transformed, as is the case in log scales).\nLet’s start with this plot of the boxoffice data:\n\n\n\n\n\n\n\n\nWe can use scale functions to modify the axis titles, by setting the name argument. For example, scale_x_continuous(name = \"the x value\") would set the axis title to “the x value” in a continuous scale along the x axis.\nUse the appropriate scale functions to modify both axis titles in the above plot. Think about which axes (if any) are continuous and which are discrete.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n scale_x_continuous(___) +\n scale_y_discrete(___)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n scale_x_continuous(name = \"weekend gross (million USD)\") +\n scale_y_discrete(name = NULL)\n\n\n\n\nWe can also use scale functions to set axis limits, via the limits argument. For continuous scales, the limits argument takes a vector of two numbers representing the lower and upper limit. For example, limits = c(0, 80) would indicate an axis that runs from 0 to 80. For discrete scales, the limits argument takes a vector of all the categories that should be shown, in the order in which they should be shown.\nTry this out by setting a limit from 0 to 80 on the x axis.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n scale_x_continuous(\n name = \"weekend gross (million USD)\",\n limits = ___\n ) +\n scale_y_discrete(name = NULL)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n scale_x_continuous(\n name = \"weekend gross (million USD)\",\n limits = c(0, 80)\n ) +\n scale_y_discrete(name = NULL)\n\n\n\n\nWhat happens if you set the axis limits such that not all data points can be shown, for example an upper limit of 65 rather than 80? Do you understand why?\n(Hint: Scale limits are applied before the plot is drawn, and data points outside the scale limits are discarded. If this is not what you want, there’s an alternative way of setting limits. See the very end of this worksheet under “Coords”.)\nNext, we can use the breaks and labels arguments to customize which axis ticks are shown and how they are labeled. In general, you need exactly as many breaks as labels. If you define only breaks but not labels then labels are automatically generated from the breaks.\nBuilding on the code from the previous example, set breaks at 0, 25, 50, and 75, and format the labels such that they can be read as currency. For example, write $25M instead of just 25.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n scale_x_continuous(\n name = \"weekend gross\",\n limits = c(0, 80),\n breaks = ___,\n labels = ___\n ) +\n scale_y_discrete(name = NULL)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n scale_x_continuous(\n name = \"weekend gross\",\n limits = c(0, 80),\n breaks = c(0, 25, 50, 75),\n labels = c(\"0\", \"$25M\", \"$50M\", \"$75M\")\n ) +\n scale_y_discrete(name = NULL)\n\n\n\n\nWhen looking at the resulting plot, you may notice that the x axis extends beyond the limits you have set. This happens because by default ggplot scales expand the axis range by a small amount. You can set the axis expansion via the expand parameter. Setting the expansion can be a bit tricky, because we can set expansion at either end of a scale and we can define both additive and multiplicative expansion. (Additive expansion adds a fixed value, whereas multiplicative expansion adds a multiple of the scale range. ggplot uses additive expansion for discrete scales and multiplicative expansion for continuous scales, but you can use either for either scale.)\nThe simplest way to define expansions is with the expansion() function, which takes arguments mult for multiplicative expansion and add for additive expansion. Either takes a vector of two values, indicating expansion at the lower and upper end, respectively. Thus, expansion(mult = c(0, 0.1)) indicates multiplicative expansion of 0% at the lower end and 10% at the upper end, whereas expansion(add = c(2, 2)) indicates additive expansion of 2 units at either end of the scale.\nTry this yourself. Use the expand argument to remove the gap to the left of 0 on the x axis.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n scale_x_continuous(\n name = \"weekend gross\",\n limits = c(0, 80),\n breaks = c(0, 25, 50, 75),\n labels = c(\"0\", \"$25M\", \"$50M\", \"$75M\"),\n expand = expansion(___)\n ) +\n scale_y_discrete(name = NULL)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n scale_x_continuous(\n name = \"weekend gross\",\n limits = c(0, 80),\n breaks = c(0, 25, 50, 75),\n labels = c(\"0\", \"$25M\", \"$50M\", \"$75M\"),\n expand = expansion(mult = c(0, 0.06))\n ) +\n scale_y_discrete(name = NULL)\n\n\n\n\nTry different settings for the expand argument. Try both multiplicative and additive expansions. Apply different expansions to the y axis as well." + "objectID": "slides/visualizing-amounts.html#bars-can-also-run-horizontally", + "href": "slides/visualizing-amounts.html#bars-can-also-run-horizontally", + "title": "Visualizing amounts", + "section": "Bars can also run horizontally", + "text": "Bars can also run horizontally" }, { - "objectID": "worksheets/coordinate-systems-axes.html#logarithmic-scales", - "href": "worksheets/coordinate-systems-axes.html#logarithmic-scales", - "title": "Coordinate systems and axes", - "section": "Logarithmic scales", - "text": "Logarithmic scales\nScales can also transform the data before plotting. For example, log scales such as scale_x_log10() and scale_y_log10() log-transform the data. To try this out, we’ll be working with the tx_counties dataset:\n\n\n\n\n\n\n\n\nModify this plot so the y axis uses a log scale.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(tx_counties) +\n aes(x = index, y = popratio) +\n geom_point() +\n scale_y_log10()\n\n\n\n\nNow customize the log scale by setting name, limits, breaks, and labels. These work exactly as they did in scale_x_continuous().\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(tx_counties) +\n aes(x = index, y = popratio) +\n geom_point() +\n scale_y_log10(\n name = ___,\n limits = ___,\n breaks = ___,\n labels = ___\n )\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(tx_counties) +\n aes(x = index, y = popratio) +\n geom_point() +\n scale_y_log10(\n name = \"population number / median\",\n limits = c(0.003, 300),\n breaks = c(0.01, 1, 100),\n labels = c(\"0.01\", \"1\", \"100\")\n )" + "objectID": "slides/visualizing-amounts.html#avoid-rotated-axis-labels", + "href": "slides/visualizing-amounts.html#avoid-rotated-axis-labels", + "title": "Visualizing amounts", + "section": "Avoid rotated axis labels", + "text": "Avoid rotated axis labels" }, { - "objectID": "worksheets/coordinate-systems-axes.html#coords", - "href": "worksheets/coordinate-systems-axes.html#coords", - "title": "Coordinate systems and axes", - "section": "Coords", - "text": "Coords\nWhile scales determine how data values are mapped and represented along one dimension, e.g. the x or the y axis, coordinate systems define how these dimensions are projected onto the 2d plot surface. The default coordinate system is the Cartesian coordinate system, which uses orthogonal x and y axes. In the following example, I have added the coord explicitly, but this is not normally necessary.\n\n\n\n\n\n\n\n\nWe can however add a different coord, for example coord_polar() to use a polar coordinate system. Try this out.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temperatures, aes(day_of_year, temperature, color = location)) +\n geom_line() +\n coord_polar()\n\n\n\n\nIn the polar coordinate system, the y axis (here, temperature) is mapped onto the radius, and the x axis (here, day of year) is mapped onto the angle. You can use scale_x_continuous() and scale_y_continuous() to modify the radial and angular axes. For example, you may want to change the temperature limits from 0 to 105 so the temperature curve for Chicago doesn’t hit the exact center of the plot. Try this out.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temperatures, aes(day_of_year, temperature, color = location)) +\n geom_line() +\n coord_polar() +\n scale_y_continuous(limits = ___)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temperatures, aes(day_of_year, temperature, color = location)) +\n geom_line() +\n coord_polar() +\n scale_y_continuous(limits = c(0, 105))\n\n\n\n\nThere are other useful coords. For example, coord_fixed() is a Cartesian coordinate system with fixed aspect ratio. This is useful when we plot variables along the x and y axes that are measured in the same units. In this case, we want the two axes to be coordinated, such that one step along x has the same meaning as one step along y.\nTo demonstrate this, we reshape the temperatures dataset into wide format, and then plot temperatures in San Diego versus temperatures in Houston.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n(A side remark: Do you know why we write `San Diego` and not \"San Diego\" or 'San Diego' inside the aes() function? If you don’t, see if you can find out.)\nThe units along both the x and the y axis are temperatures, but a 10 degree difference in Houston is shown as a shorter distance than a 10 degree difference in San Diego. To address this problem, add coord_fixed() to the above plot.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temps_wide, aes(`San Diego`, Houston)) +\n geom_point() +\n coord_fixed()\n\n\n\n\nThis plot is technically correct but it doesn’t look good, because breaks are spaced differently along the two axes. Also, the plot looks strangely narrow and tall. We can fix both issues by manually setting breaks and limits for both axes. Try this out.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temps_wide, aes(`San Diego`, Houston)) +\n geom_point() +\n coord_fixed() +\n scale_x_continuous(\n limits = ___,\n breaks = ___\n ) +\n scale_y_continuous(\n limits = ___,\n breaks = ___\n )\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temps_wide, aes(`San Diego`, Houston)) +\n geom_point() +\n coord_fixed() +\n scale_x_continuous(\n limits = c(45, 85),\n breaks = c(40, 50, 60, 70, 80)\n ) +\n scale_y_continuous(\n limits = c(48, 88),\n breaks = c(50, 60, 70, 80)\n )\n\n\n\n\nFinally, as the last example of what can be done with coords, we go back to the problem of setting limits on the box-office bar plot. Instead of setting limits with scale functions, we can also set them via the arguments xlim and ylim inside the coord, for example here coord_cartesian(). (This would be a good reason to explicity add coord_cartesian() to a plot.) When we set limits in the coord ggplot does not discard any data points. Instead it simply zooms in or out according to the limits set. Try this out by setting the x limits from 10 to 65 in the box-office plot.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n coord_cartesian(\n xlim = ___\n )\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n coord_cartesian(\n xlim = c(10, 65)\n )\n\n\n\n\nNote: It is normally not a good idea to start a bar plot at a value other than 0. This exercise was solely meant to demonstrate how limits in coords differ from limits in scales." + "objectID": "slides/visualizing-amounts.html#avoid-rotated-axis-labels-1", + "href": "slides/visualizing-amounts.html#avoid-rotated-axis-labels-1", + "title": "Visualizing amounts", + "section": "Avoid rotated axis labels", + "text": "Avoid rotated axis labels" }, { - "objectID": "worksheets/aesthetic-mappings.html", - "href": "worksheets/aesthetic-mappings.html", - "title": "Aesthetic mappings", - "section": "", - "text": "In this worksheet, we will discuss a core concept of ggplot, the mapping of data values onto aesthetics.\nFirst we need to load the required R packages. Please wait a moment until the live R session is fully set up and all packages are loaded.\n\n\n\n\n\n\n\n\nNext we set up the data.\n\n\n\n\n\n\n\n\nWe will first work with the dataset temps_houston which contains the average temperature for each day of the year for Houston, TX." + "objectID": "slides/visualizing-amounts.html#pay-attention-to-the-order-of-the-bars", + "href": "slides/visualizing-amounts.html#pay-attention-to-the-order-of-the-bars", + "title": "Visualizing amounts", + "section": "Pay attention to the order of the bars", + "text": "Pay attention to the order of the bars" }, { - "objectID": "worksheets/aesthetic-mappings.html#introduction", - "href": "worksheets/aesthetic-mappings.html#introduction", - "title": "Aesthetic mappings", - "section": "", - "text": "In this worksheet, we will discuss a core concept of ggplot, the mapping of data values onto aesthetics.\nFirst we need to load the required R packages. Please wait a moment until the live R session is fully set up and all packages are loaded.\n\n\n\n\n\n\n\n\nNext we set up the data.\n\n\n\n\n\n\n\n\nWe will first work with the dataset temps_houston which contains the average temperature for each day of the year for Houston, TX." + "objectID": "slides/visualizing-amounts.html#pay-attention-to-the-order-of-the-bars-1", + "href": "slides/visualizing-amounts.html#pay-attention-to-the-order-of-the-bars-1", + "title": "Visualizing amounts", + "section": "Pay attention to the order of the bars", + "text": "Pay attention to the order of the bars" }, { - "objectID": "worksheets/aesthetic-mappings.html#basic-use-of-ggplot", - "href": "worksheets/aesthetic-mappings.html#basic-use-of-ggplot", - "title": "Aesthetic mappings", - "section": "Basic use of ggplot", - "text": "Basic use of ggplot\nIn the most basic use of ggplot, we call the ggplot() function with a dataset and an aesthetic mapping (created with aes()), and then we add a geom, such as geom_line() to draw lines or geom_point() to draw points.\nTry this for yourself. Map the column day_of_year onto the x axis and the column temperature onto the y axis, and use geom_line() to display the data.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temps_houston, aes(x = day_of_year, y = temperature)) +\n geom_line()\n\n\n\n\nTry again. Now use geom_point() instead of geom_line().\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temps_houston, aes(x = day_of_year, y = temperature)) +\n geom_point()\n\n\n\n\nAnd now swap which column you map to x and which to y.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temps_houston, aes(x = temperature, y = day_of_year)) +\n geom_point()" + "objectID": "slides/visualizing-amounts.html#we-can-use-dots-instead-of-bars", + "href": "slides/visualizing-amounts.html#we-can-use-dots-instead-of-bars", + "title": "Visualizing amounts", + "section": "We can use dots instead of bars", + "text": "We can use dots instead of bars" }, { - "objectID": "worksheets/aesthetic-mappings.html#more-complex-geoms", - "href": "worksheets/aesthetic-mappings.html#more-complex-geoms", - "title": "Aesthetic mappings", - "section": "More complex geoms", - "text": "More complex geoms\nYou can use other geoms to make different types of plots. For example, geom_boxplot() will make boxplots. For boxplots, we frequently want categorical data on the x or y axis. For example, we might want a separate boxplot for each month. Try this out. Puth month on the x axis, temperature on the y axis, and use geom_boxplot().\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temps_houston, aes(x = month, y = temperature)) +\n ___()\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temps_houston, aes(x = month, y = temperature)) +\n geom_boxplot()\n\n\n\n\nNow put the month on the y axis and the temperature on the x axis.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temps_houston, aes(x = ___, y = ___)) +\n geom_boxplot()\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temps_houston, aes(x = temperature, y = month)) +\n geom_boxplot()" + "objectID": "slides/visualizing-amounts.html#dots-are-preferable-if-we-want-to-truncate-the-axes", + "href": "slides/visualizing-amounts.html#dots-are-preferable-if-we-want-to-truncate-the-axes", + "title": "Visualizing amounts", + "section": "Dots are preferable if we want to truncate the axes", + "text": "Dots are preferable if we want to truncate the axes" }, { - "objectID": "worksheets/aesthetic-mappings.html#adding-color", - "href": "worksheets/aesthetic-mappings.html#adding-color", - "title": "Aesthetic mappings", - "section": "Adding color", - "text": "Adding color\nNext we will be working with the dataset temperatures, which is similar to temps_houston but contains data for three more locations.\n\n\n\n\n\n\n\n\nMake a line plot of temperature against day_of_year, using the color aesthetic to color the lines by location.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temperatures, aes(x = day_of_year, y = temperature, color = ___)) +\n geom_line()\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temperatures, aes(x = day_of_year, y = temperature, color = location)) +\n geom_line()\n\n\n\n\nTry again, this time using location as the location along the y axis and temperature for the color. This plot looks better with geom_point() than geom_line(). (Try it out to see why. Also, try geom_point(size = 5) to create larger points.)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temperatures, aes(x = ___, y = ___, color = ___)) +\n geom_point()\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temperatures, aes(x = day_of_year, y = location, color = temperature)) +\n geom_point()" + "objectID": "slides/visualizing-amounts.html#dots-are-preferable-if-we-want-to-truncate-the-axes-1", + "href": "slides/visualizing-amounts.html#dots-are-preferable-if-we-want-to-truncate-the-axes-1", + "title": "Visualizing amounts", + "section": "Dots are preferable if we want to truncate the axes", + "text": "Dots are preferable if we want to truncate the axes\n\n\n\n\n\n \n\n\n\n\n\nBar lengths donot accurately represent thedata values" }, { - "objectID": "worksheets/aesthetic-mappings.html#using-the-fill-aesthetic", - "href": "worksheets/aesthetic-mappings.html#using-the-fill-aesthetic", - "title": "Aesthetic mappings", - "section": "Using the fill aesthetic", - "text": "Using the fill aesthetic\nSome geoms use a fill aesthetic, which is similar to color but applies to shaded areas. (color applies to lines and points.) For example, we can use the fill aesthetic with geom_boxplot() to color the interior of the box. Try this yourself. Plot month on x, temperature on y, and color the interior of the box by location.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temperatures, aes(x = month, y = ___, fill = ___)) +\n geom_boxplot()\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temperatures, aes(x = month, y = temperature, fill = location)) +\n geom_boxplot()\n\n\n\n\nCan you color the lines of the boxplot by location and the interior by month? Try it.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temperatures, aes(x = month, y = temperature, color = ___, fill = ___)) +\n geom_boxplot()\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temperatures, aes(x = month, y = temperature, color = location, fill = month)) +\n geom_boxplot()" + "objectID": "slides/visualizing-amounts.html#dots-are-preferable-if-we-want-to-truncate-the-axes-2", + "href": "slides/visualizing-amounts.html#dots-are-preferable-if-we-want-to-truncate-the-axes-2", + "title": "Visualizing amounts", + "section": "Dots are preferable if we want to truncate the axes", + "text": "Dots are preferable if we want to truncate the axes\n\n\n\n\n\n \n\n\n\n\n\nKey featuresof the dataare obscured" }, { - "objectID": "worksheets/aesthetic-mappings.html#using-aesthetics-as-parameters", - "href": "worksheets/aesthetic-mappings.html#using-aesthetics-as-parameters", - "title": "Aesthetic mappings", - "section": "Using aesthetics as parameters", - "text": "Using aesthetics as parameters\nMany of the aesthetics (such as color, fill, and also size to change line size or point thickness) can be used as parameters inside a geom rather than inside an aes() statement. The difference is that when you use an aesthetic as a parameter, you specify a specific value, such as color = \"blue\", rather than a mapping, such as aes(color = location). Notice the difference: Inside the aes() function, we don’t actually specify the specific color values, ggplot does that for us. We only say that we want the data values of the location column to correspond to different colors. (We will learn later how to tell ggplot to use specific colors in this mapping.)\nTry this with the boxplot example from the previous section. Map location onto the fill aesthetic but set the color of the lines to \"navyblue\".\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temperatures, aes(x = month, y = temperature, fill = ___)) +\n geom_boxplot(color = ___)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temperatures, aes(x = month, y = temperature, fill = location)) +\n geom_boxplot(color = \"navyblue\")\n\n\n\n\nNow do the reverse. Map location onto the line colors but fill the box with the color \"navyblue\".\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temperatures, aes(x = month, y = temperature, color = ___)) +\n geom_boxplot(fill = ___)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temperatures, aes(x = month, y = temperature, color = location)) +\n geom_boxplot(fill = \"navyblue\")" + "objectID": "slides/visualizing-amounts.html#dots-are-preferable-if-we-want-to-truncate-the-axes-3", + "href": "slides/visualizing-amounts.html#dots-are-preferable-if-we-want-to-truncate-the-axes-3", + "title": "Visualizing amounts", + "section": "Dots are preferable if we want to truncate the axes", + "text": "Dots are preferable if we want to truncate the axes" }, { - "objectID": "slides/telling-a-story.html#how-did-i-get-to-teach-data-visualization", - "href": "slides/telling-a-story.html#how-did-i-get-to-teach-data-visualization", - "title": "Telling a story", - "section": "How did I get to teach data visualization?", - "text": "How did I get to teach data visualization?" + "objectID": "slides/visualizing-amounts.html#we-use-grouped-bars-for-higher-dimensional-datasets", + "href": "slides/visualizing-amounts.html#we-use-grouped-bars-for-higher-dimensional-datasets", + "title": "Visualizing amounts", + "section": "We use grouped bars for higher-dimensional datasets", + "text": "We use grouped bars for higher-dimensional datasets\n\n\n\n\n\n\n \n\n\n\n\n\nData source: United States Census Bureau, 2016" }, { - "objectID": "slides/telling-a-story.html#what-is-a-story", - "href": "slides/telling-a-story.html#what-is-a-story", - "title": "Telling a story", - "section": "What is a story?", - "text": "What is a story?\n\n\nA story is a collection of observations, facts, or events presented in a specific order such that they create an emotional reaction." + "objectID": "slides/visualizing-amounts.html#we-are-free-to-choose-by-which-variable-to-group", + "href": "slides/visualizing-amounts.html#we-are-free-to-choose-by-which-variable-to-group", + "title": "Visualizing amounts", + "section": "We are free to choose by which variable to group", + "text": "We are free to choose by which variable to group\n\n\n\n\n\n\n \n\n\n\n\n\nData source: United States Census Bureau, 2016" }, { - "objectID": "slides/telling-a-story.html#every-story-needs-an-arc", - "href": "slides/telling-a-story.html#every-story-needs-an-arc", - "title": "Telling a story", - "section": "Every story needs an arc", - "text": "Every story needs an arc\n\nOpening\n\n\n\nChallenge\n\n\n\nAction\n\n\n\nResolution" + "objectID": "slides/visualizing-amounts.html#we-can-also-use-multiple-plot-panels-facets", + "href": "slides/visualizing-amounts.html#we-can-also-use-multiple-plot-panels-facets", + "title": "Visualizing amounts", + "section": "We can also use multiple plot panels (facets)", + "text": "We can also use multiple plot panels (facets)\n\n\n\n\n\n \n\n\n\n\n\nData source: United States Census Bureau, 2016" }, { - "objectID": "slides/telling-a-story.html#every-story-needs-an-arc-1", - "href": "slides/telling-a-story.html#every-story-needs-an-arc-1", - "title": "Telling a story", - "section": "Every story needs an arc", - "text": "Every story needs an arc\n\nOpening\n\n\n\nChallenge\n\n\n\nAction\n\n\n\nResolution\n\n\nChallenge and resolution arethe two most important parts" + "objectID": "slides/visualizing-amounts.html#dataset-highest-grossing-movies-dec.-2017", + "href": "slides/visualizing-amounts.html#dataset-highest-grossing-movies-dec.-2017", + "title": "Visualizing amounts", + "section": "Dataset: Highest grossing movies Dec. 2017", + "text": "Dataset: Highest grossing movies Dec. 2017\n\n# Data from Box Office Mojo for Dec. 22-24, 2017. \nboxoffice <- tibble(\n rank = 1:5,\n title = c(\n \"Star Wars\", \"Jumanji\", \"Pitch Perfect 3\",\n \"Greatest Showman\", \"Ferdinand\"\n ),\n amount = c(71.57, 36.17, 19.93, 8.81, 7.32) # million USD\n)\n\nboxoffice\n\n# A tibble: 5 × 3\n rank title amount\n <int> <chr> <dbl>\n1 1 Star Wars 71.6 \n2 2 Jumanji 36.2 \n3 3 Pitch Perfect 3 19.9 \n4 4 Greatest Showman 8.81\n5 5 Ferdinand 7.32" }, { - "objectID": "slides/telling-a-story.html#mapping-my-story-onto-this-format", - "href": "slides/telling-a-story.html#mapping-my-story-onto-this-format", - "title": "Telling a story", - "section": "Mapping my story onto this format", - "text": "Mapping my story onto this format\n\nOpening: We need to make many data visualizations in my lab\n\n\nChallenge: I end up telling my students the same things over and over\n\n\nAction: I go and write a book about data visualization\n\n\nResolution: The book is written. But now I teach the material, so I still keep saying the same things over and over" + "objectID": "slides/visualizing-amounts.html#visualize-as-a-bar-plot", + "href": "slides/visualizing-amounts.html#visualize-as-a-bar-plot", + "title": "Visualizing amounts", + "section": "Visualize as a bar plot", + "text": "Visualize as a bar plot\n\nggplot(boxoffice, aes(title, amount)) +\n geom_col() # \"col\" stands for column" }, { - "objectID": "slides/telling-a-story.html#other-story-structures", - "href": "slides/telling-a-story.html#other-story-structures", - "title": "Telling a story", - "section": "Other story structures", - "text": "Other story structures\n\nAction\n\n\n\nBackground\n\n\n\nDevelopment\n\n\n\nClimax\n\n\n\nEnding\n\n\n(Better for action moviesthan for scientific reports)" + "objectID": "slides/visualizing-amounts.html#order-by-data-value", + "href": "slides/visualizing-amounts.html#order-by-data-value", + "title": "Visualizing amounts", + "section": "Order by data value", + "text": "Order by data value\n\nggplot(boxoffice, aes(fct_reorder(title, amount), amount)) +\n geom_col() # \"col\" stands for column" }, { - "objectID": "slides/telling-a-story.html#mapping-my-story-onto-this-format-1", - "href": "slides/telling-a-story.html#mapping-my-story-onto-this-format-1", - "title": "Telling a story", - "section": "Mapping my story onto this format", - "text": "Mapping my story onto this format\n\nAction: In May 2017, I embark on a major project: Write a book on data visualization\n\n\nBackground: I do this because we need to make many data visualizations in my lab, and I end up telling my students the same things over and over\n\n\nDevelopment: Writing the book takes me almost two years; along the way, I add many features to ggplot2 and become a member of the ggplot2 team\n\n\nClimax: The book is released in April 2019\n\n\nEnding: Now I’m a dataviz teacher" + "objectID": "slides/visualizing-amounts.html#order-by-data-value-descending", + "href": "slides/visualizing-amounts.html#order-by-data-value-descending", + "title": "Visualizing amounts", + "section": "Order by data value, descending", + "text": "Order by data value, descending\n\nggplot(boxoffice, aes(fct_reorder(title, -amount), amount)) +\n geom_col() + \n xlab(NULL) # remove x axis label" }, { - "objectID": "slides/telling-a-story.html#other-story-structures-1", - "href": "slides/telling-a-story.html#other-story-structures-1", - "title": "Telling a story", - "section": "Other story structures", - "text": "Other story structures\n\n\nLead\n\n\n\nDevelopment\n\n\n(Commonly used in newspaper articles)" + "objectID": "slides/visualizing-amounts.html#flip-x-and-y-set-custom-x-axis-label", + "href": "slides/visualizing-amounts.html#flip-x-and-y-set-custom-x-axis-label", + "title": "Visualizing amounts", + "section": "Flip x and y, set custom x axis label", + "text": "Flip x and y, set custom x axis label\n\nggplot(boxoffice, aes(amount, fct_reorder(title, amount))) +\n geom_col() +\n xlab(\"amount (in million USD)\") +\n ylab(NULL)" }, { - "objectID": "slides/telling-a-story.html#mapping-my-story-onto-this-format-2", - "href": "slides/telling-a-story.html#mapping-my-story-onto-this-format-2", - "title": "Telling a story", - "section": "Mapping my story onto this format", - "text": "Mapping my story onto this format\n\nLead: Because I see the need for more education in data visualization, I have written an entire book about the topic\n\n\nDevelopment: I had previously written an R package to improve figure design, but it wasn’t sufficient: Good judgement cannot be automated\n\n\nSo I wrote a book; the book is entirely about concepts, not about coding, and it is meant as a resource for anybody doing data visualizations, regardless of their preferred visualization software" + "objectID": "slides/visualizing-amounts.html#example-visualize-number-of-penguins-per-species", + "href": "slides/visualizing-amounts.html#example-visualize-number-of-penguins-per-species", + "title": "Visualizing amounts", + "section": "Example: Visualize number of penguins per species", + "text": "Example: Visualize number of penguins per species\n\n\n\n# A tibble: 344 × 8\n species island bill_length_mm bill_depth_mm flipper_length_mm body_mass_g\n <fct> <fct> <dbl> <dbl> <int> <int>\n 1 Adelie Torgersen 39.1 18.7 181 3750\n 2 Adelie Torgersen 39.5 17.4 186 3800\n 3 Adelie Torgersen 40.3 18 195 3250\n 4 Adelie Torgersen NA NA NA NA\n 5 Adelie Torgersen 36.7 19.3 193 3450\n 6 Adelie Torgersen 39.3 20.6 190 3650\n 7 Adelie Torgersen 38.9 17.8 181 3625\n 8 Adelie Torgersen 39.2 19.6 195 4675\n 9 Adelie Torgersen 34.1 18.1 193 3475\n10 Adelie Torgersen 42 20.2 190 4250\n# ℹ 334 more rows\n# ℹ 2 more variables: sex <fct>, year <int>" }, { - "objectID": "slides/telling-a-story.html#example-preprints-in-biology", - "href": "slides/telling-a-story.html#example-preprints-in-biology", - "title": "Telling a story", - "section": "Example: Preprints in biology", - "text": "Example: Preprints in biology\n\n\n\n\n\n \n\n\n\n\n\nOpening" + "objectID": "slides/visualizing-amounts.html#use-geom_bar-to-count-before-plotting", + "href": "slides/visualizing-amounts.html#use-geom_bar-to-count-before-plotting", + "title": "Visualizing amounts", + "section": "Use geom_bar() to count before plotting", + "text": "Use geom_bar() to count before plotting\n\nggplot(penguins, aes(y = species)) + # no x aesthetic needed\n geom_bar()" }, { - "objectID": "slides/telling-a-story.html#example-preprints-in-biology-1", - "href": "slides/telling-a-story.html#example-preprints-in-biology-1", - "title": "Telling a story", - "section": "Example: Preprints in biology", - "text": "Example: Preprints in biology\n\n\n\n\n\n \n\n\n\n\nWhat happened in 2014 to curtail the growth?\n\nChallenge" + "objectID": "slides/visualizing-amounts.html#getting-the-bars-into-the-right-order", + "href": "slides/visualizing-amounts.html#getting-the-bars-into-the-right-order", + "title": "Visualizing amounts", + "section": "Getting the bars into the right order", + "text": "Getting the bars into the right order\n\n\nOption 1: Manually, using fct_relevel()\n\nggplot(penguins, aes(y = fct_relevel(species, \"Chinstrap\", \"Gentoo\", \"Adelie\"))) +\n geom_bar() +\n ylab(NULL)" }, { - "objectID": "slides/telling-a-story.html#example-preprints-in-biology-2", - "href": "slides/telling-a-story.html#example-preprints-in-biology-2", - "title": "Telling a story", - "section": "Example: Preprints in biology", - "text": "Example: Preprints in biology\n\n\n\n\n\n \n\n\n\n\nbioRxiv opened in 2014\n\nResolution" + "objectID": "slides/visualizing-amounts.html#getting-the-bars-into-the-right-order-1", + "href": "slides/visualizing-amounts.html#getting-the-bars-into-the-right-order-1", + "title": "Visualizing amounts", + "section": "Getting the bars into the right order", + "text": "Getting the bars into the right order\n\nOption 2: Using fct_rev() and fct_infreq() from the forcats package\n\nggplot(penguins, aes(y = fct_rev(fct_infreq(species)))) +\n geom_bar() +\n ylab(NULL)" }, { - "objectID": "slides/telling-a-story.html#keep-in-mind", - "href": "slides/telling-a-story.html#keep-in-mind", - "title": "Telling a story", - "section": "Keep in mind", - "text": "Keep in mind\n\n\nEvery figure needs a clear purpose within the story arc\nA complete arc will usually require at least two figures" + "objectID": "slides/visualizing-amounts.html#display-counts-by-species-and-sex", + "href": "slides/visualizing-amounts.html#display-counts-by-species-and-sex", + "title": "Visualizing amounts", + "section": "Display counts by species and sex", + "text": "Display counts by species and sex\n\n\nggplot(penguins, aes(sex, fill = species)) +\n geom_bar()" }, { - "objectID": "slides/telling-a-story.html#prepare-figures-that-make-a-clear-point", - "href": "slides/telling-a-story.html#prepare-figures-that-make-a-clear-point", - "title": "Telling a story", - "section": "Prepare figures that make a clear point", - "text": "Prepare figures that make a clear point" + "objectID": "slides/visualizing-amounts.html#remove-missing-values-nas", + "href": "slides/visualizing-amounts.html#remove-missing-values-nas", + "title": "Visualizing amounts", + "section": "Remove missing values (NAs)", + "text": "Remove missing values (NAs)\n\n\npenguins2 <- na.omit(penguins) # remove all rows with any missing values\n\nggplot(penguins2, aes(sex, fill = species)) +\n geom_bar()" }, { - "objectID": "slides/telling-a-story.html#prepare-figures-that-make-a-clear-point-1", - "href": "slides/telling-a-story.html#prepare-figures-that-make-a-clear-point-1", - "title": "Telling a story", - "section": "Prepare figures that make a clear point", - "text": "Prepare figures that make a clear point\n\n\n\n\n\n \n\n\n\n\nAmerican and Delta have the shortest delays" + "objectID": "slides/visualizing-amounts.html#positions-define-how-subgroups-are-shown", + "href": "slides/visualizing-amounts.html#positions-define-how-subgroups-are-shown", + "title": "Visualizing amounts", + "section": "Positions define how subgroups are shown", + "text": "Positions define how subgroups are shown\n\nposition = \"dodge\": Place bars for subgroups side-by-side\n\nggplot(penguins2, aes(sex, fill = species)) +\n geom_bar(position = \"dodge\")" }, { - "objectID": "slides/telling-a-story.html#make-your-figures-memorable", - "href": "slides/telling-a-story.html#make-your-figures-memorable", - "title": "Telling a story", - "section": "Make your figures memorable", - "text": "Make your figures memorable" + "objectID": "slides/visualizing-amounts.html#positions-define-how-subgroups-are-shown-1", + "href": "slides/visualizing-amounts.html#positions-define-how-subgroups-are-shown-1", + "title": "Visualizing amounts", + "section": "Positions define how subgroups are shown", + "text": "Positions define how subgroups are shown\n\nposition = \"stack\": Place bars for subgroups on top of each other\n\nggplot(penguins2, aes(sex, fill = species)) +\n geom_bar(position = \"stack\")" }, { - "objectID": "slides/telling-a-story.html#make-your-figures-memorable-1", - "href": "slides/telling-a-story.html#make-your-figures-memorable-1", - "title": "Telling a story", - "section": "Make your figures memorable", - "text": "Make your figures memorable" + "objectID": "slides/visualizing-amounts.html#positions-define-how-subgroups-are-shown-2", + "href": "slides/visualizing-amounts.html#positions-define-how-subgroups-are-shown-2", + "title": "Visualizing amounts", + "section": "Positions define how subgroups are shown", + "text": "Positions define how subgroups are shown\n\nposition = \"fill\": Like \"stack\", but scale to 100%\n\nggplot(penguins2, aes(sex, fill = species)) +\n geom_bar(position = \"fill\")" }, { - "objectID": "slides/telling-a-story.html#further-reading", - "href": "slides/telling-a-story.html#further-reading", - "title": "Telling a story", + "objectID": "slides/visualizing-amounts.html#further-reading", + "href": "slides/visualizing-amounts.html#further-reading", + "title": "Visualizing amounts", "section": "Further reading", - "text": "Further reading\n\n\nFundamentals of Data Visualization: Chapter 29: Telling a story and making a point\nJoshua Schimel (2011) Writing Science: How to Write Papers That Get Cited and Proposals That Get Funded" - }, - { - "objectID": "schedule.html#homeworks", - "href": "schedule.html#homeworks", - "title": "SDS 366 Schedule Spring 2025", - "section": "Homeworks", - "text": "Homeworks\nAll homeworks are due by 11:00pm on the day they are due. Homeworks need to be submitted as pdf files on Canvas." + "text": "Further reading\n\n\nFundamentals of Data Visualization: Chapter 6: Visualizing amounts\nData Visualization—A Practical Introduction: Chapter 4.4: Geoms can transform data\nggplot2 reference documentation: geom_bar(), geom_col()\nggplot2 reference documentation: position_stack(), position_fill()" }, { - "objectID": "schedule.html#projects", - "href": "schedule.html#projects", - "title": "SDS 366 Schedule Spring 2025", - "section": "Projects", - "text": "Projects\nAll projects are due by 11:00pm on the day they are due. Projects need to be submitted on Canvas. Please carefully read the submission instructions for each project." + "objectID": "slides/aesthetic-mappings.html#dataset-daily-average-temperatures-for-various-locations", + "href": "slides/aesthetic-mappings.html#dataset-daily-average-temperatures-for-various-locations", + "title": "Aesthetic mappings", + "section": "Dataset:Daily average temperatures for various locations", + "text": "Dataset:Daily average temperatures for various locations\n\n\n\n\n\n\nlocation\nday_of_year\nmonth\ntemperature\n\n\n\n\nDeath Valley\n1\n01\n51.0\n\n\nDeath Valley\n2\n01\n51.2\n\n\nDeath Valley\n3\n01\n51.3\n\n\nDeath Valley\n4\n01\n51.4\n\n\nDeath Valley\n5\n01\n51.6\n\n\nDeath Valley\n6\n01\n51.7\n\n\nDeath Valley\n7\n01\n51.9\n\n\nDeath Valley\n8\n01\n52.0\n\n\nDeath Valley\n9\n01\n52.2\n\n\nDeath Valley\n10\n01\n52.3\n\n\nDeath Valley\n11\n01\n52.5\n\n\nDeath Valley\n12\n01\n52.7\n\n\nDeath Valley\n13\n01\n52.9\n\n\nDeath Valley\n14\n01\n53.0\n\n\nDeath Valley\n15\n01\n53.2\n\n\nDeath Valley\n16\n01\n53.4\n\n\nDeath Valley\n17\n01\n53.6\n\n\nDeath Valley\n18\n01\n53.7\n\n\nDeath Valley\n19\n01\n53.9\n\n\nDeath Valley\n20\n01\n54.1\n\n\nDeath Valley\n21\n01\n54.3\n\n\nDeath Valley\n22\n01\n54.5\n\n\nDeath Valley\n23\n01\n54.6\n\n\nDeath Valley\n24\n01\n54.8\n\n\nDeath Valley\n25\n01\n55.0\n\n\nDeath Valley\n26\n01\n55.2\n\n\nDeath Valley\n27\n01\n55.4\n\n\nDeath Valley\n28\n01\n55.6\n\n\nDeath Valley\n29\n01\n55.8\n\n\nDeath Valley\n30\n01\n56.0\n\n\nDeath Valley\n31\n01\n56.2\n\n\nDeath Valley\n32\n02\n56.4\n\n\nDeath Valley\n33\n02\n56.6\n\n\nDeath Valley\n34\n02\n56.8\n\n\nDeath Valley\n35\n02\n57.0\n\n\nDeath Valley\n36\n02\n57.2\n\n\nDeath Valley\n37\n02\n57.5\n\n\nDeath Valley\n38\n02\n57.7\n\n\nDeath Valley\n39\n02\n57.9\n\n\nDeath Valley\n40\n02\n58.2\n\n\nDeath Valley\n41\n02\n58.4\n\n\nDeath Valley\n42\n02\n58.7\n\n\nDeath Valley\n43\n02\n58.9\n\n\nDeath Valley\n44\n02\n59.2\n\n\nDeath Valley\n45\n02\n59.5\n\n\nDeath Valley\n46\n02\n59.8\n\n\nDeath Valley\n47\n02\n60.1\n\n\nDeath Valley\n48\n02\n60.3\n\n\nDeath Valley\n49\n02\n60.6\n\n\nDeath Valley\n50\n02\n60.9\n\n\nDeath Valley\n51\n02\n61.2\n\n\nDeath Valley\n52\n02\n61.6\n\n\nDeath Valley\n53\n02\n61.9\n\n\nDeath Valley\n54\n02\n62.2\n\n\nDeath Valley\n55\n02\n62.5\n\n\nDeath Valley\n56\n02\n62.8\n\n\nDeath Valley\n57\n02\n63.2\n\n\nDeath Valley\n58\n02\n63.5\n\n\nDeath Valley\n59\n02\n63.8\n\n\nDeath Valley\n60\n02\n64.0\n\n\nDeath Valley\n61\n03\n64.1\n\n\nDeath Valley\n62\n03\n64.5\n\n\nDeath Valley\n63\n03\n64.8\n\n\nDeath Valley\n64\n03\n65.1\n\n\nDeath Valley\n65\n03\n65.4\n\n\nDeath Valley\n66\n03\n65.7\n\n\nDeath Valley\n67\n03\n66.0\n\n\nDeath Valley\n68\n03\n66.3\n\n\nDeath Valley\n69\n03\n66.7\n\n\nDeath Valley\n70\n03\n67.0\n\n\nDeath Valley\n71\n03\n67.2\n\n\nDeath Valley\n72\n03\n67.5\n\n\nDeath Valley\n73\n03\n67.8\n\n\nDeath Valley\n74\n03\n68.1\n\n\nDeath Valley\n75\n03\n68.4\n\n\nDeath Valley\n76\n03\n68.6\n\n\nDeath Valley\n77\n03\n68.9\n\n\nDeath 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Valley\n317\n11\n64.4\n\n\nDeath Valley\n318\n11\n63.9\n\n\nDeath Valley\n319\n11\n63.3\n\n\nDeath Valley\n320\n11\n62.8\n\n\nDeath Valley\n321\n11\n62.3\n\n\nDeath Valley\n322\n11\n61.8\n\n\nDeath Valley\n323\n11\n61.3\n\n\nDeath Valley\n324\n11\n60.8\n\n\nDeath Valley\n325\n11\n60.3\n\n\nDeath Valley\n326\n11\n59.8\n\n\nDeath Valley\n327\n11\n59.3\n\n\nDeath Valley\n328\n11\n58.8\n\n\nDeath Valley\n329\n11\n58.3\n\n\nDeath Valley\n330\n11\n57.9\n\n\nDeath Valley\n331\n11\n57.4\n\n\nDeath Valley\n332\n11\n56.9\n\n\nDeath Valley\n333\n11\n56.5\n\n\nDeath Valley\n334\n11\n56.0\n\n\nDeath Valley\n335\n11\n55.6\n\n\nDeath Valley\n336\n12\n55.2\n\n\nDeath Valley\n337\n12\n54.8\n\n\nDeath Valley\n338\n12\n54.4\n\n\nDeath Valley\n339\n12\n54.0\n\n\nDeath Valley\n340\n12\n53.7\n\n\nDeath Valley\n341\n12\n53.3\n\n\nDeath Valley\n342\n12\n53.0\n\n\nDeath Valley\n343\n12\n52.7\n\n\nDeath Valley\n344\n12\n52.4\n\n\nDeath Valley\n345\n12\n52.2\n\n\nDeath Valley\n346\n12\n51.9\n\n\nDeath 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"index.html", - "href": "index.html", - "title": "SDS 366", - "section": "", - "text": "This is the home page for SDS 366, Data Visualization in R. All course materials will be posted on this site.\nInstructor: Claus O. Wilke\nMeeting times: TTH 5:00pm to 6:30pm Venue: MEZ B0.306 Syllabus: click here\nUpcoming lectures and assignments: click here" + "objectID": "slides/aesthetic-mappings.html#temperatures-mapped-onto-y-position", + "href": "slides/aesthetic-mappings.html#temperatures-mapped-onto-y-position", + "title": "Aesthetic mappings", + "section": "Temperatures mapped onto y position", + "text": "Temperatures mapped onto y position" }, { - "objectID": "index.html#computing-requirements", - "href": "index.html#computing-requirements", - "title": "SDS 366", - "section": "Computing requirements", - "text": "Computing requirements\nFor students enrolled in this course, you only need a working web browser to access the edupod server, located at: https://edupod.cns.utexas.edu/\nIf you are using the edupod server, stop reading here. Everything is pre-installed and no further action is needed.\nTo run any of the materials locally on your own machine, you will need the following:\n\nA recent version of R, download from here.\nA recent version of RStudio, download from here, OR a recent version of Positron, download from here.\nThe following R packages:\nbroom, cluster, colorspace, cowplot, distill, gapminder, GGally, gganimate, ggiraph, ggdendro, ggdist, ggforce, ggplot2movies, ggrepel, ggridges, ggthemes, gifski, glue, knitr, learnr, naniar, margins, MASS, Matrix, nycflights13, palmerpenguins, patchwork, rmarkdown, rnaturalearth, rnaturalearthhires, scales, sf, shinyjs, sp, tidyverse, transformr, umap, xaringan\n\nYou can install all required R packages at once by running the following code in the R command line:\n# first run this command:\ninstall.packages(\n c(\n \"broom\", \"cluster\", \"colorspace\", \"cowplot\", \"distill\", \"gapminder\", \n \"GGally\", \"gganimate\", \"ggiraph\", \"ggdendro\", \"ggdist\", \"ggforce\",\n \"ggplot2movies\", \"ggrepel\", \"ggridges\", \"ggthemes\", \"gifski\", \"glue\",\n \"knitr\", \"learnr\", \"naniar\", \"margins\", \"MASS\", \"Matrix\",\n \"nycflights13\", \"palmerpenguins\", \"patchwork\", \"rmarkdown\", \"rnaturalearth\",\n \"scales\", \"sf\", \"shinyjs\", \"sp\", \"tidyverse\", \"transformr\", \"umap\",\n \"xaringan\"\n )\n)\n\n# then run this command:\ninstall.packages(\n \"rnaturalearthhires\", repos = \"https://packages.ropensci.org\", type = \"source\"\n)" + "objectID": "slides/aesthetic-mappings.html#temperatures-mapped-onto-color", + "href": "slides/aesthetic-mappings.html#temperatures-mapped-onto-color", + "title": "Aesthetic mappings", + "section": "Temperatures mapped onto color", + "text": "Temperatures mapped onto color" }, { - "objectID": "syllabus.html", - "href": "syllabus.html", - "title": "Syllabus", - "section": "", - "text": "Title: SDS 366 Data Visualization in R Semester: Spring 2025 Unique: 57785, TTH 5:00pm to 6:30pm, MEZ B0.306\nInstructor: Claus O. Wilke Email: wilke@austin.utexas.edu Office Hours: Mon. 9am - 10am (open Zoom), Thurs. 10am - 11am (open Zoom), or by appointment\nTeaching Assistant: TBD Email: TBD Office Hours: TBD" + "objectID": "slides/aesthetic-mappings.html#commonly-used-aesthetics", + "href": "slides/aesthetic-mappings.html#commonly-used-aesthetics", + "title": "Aesthetic mappings", + "section": "Commonly used aesthetics", + "text": "Commonly used aesthetics" }, { - "objectID": "syllabus.html#course-title-and-instructor", - "href": "syllabus.html#course-title-and-instructor", - "title": "Syllabus", - "section": "", - "text": "Title: SDS 366 Data Visualization in R Semester: Spring 2025 Unique: 57785, TTH 5:00pm to 6:30pm, MEZ B0.306\nInstructor: Claus O. Wilke Email: wilke@austin.utexas.edu Office Hours: Mon. 9am - 10am (open Zoom), Thurs. 10am - 11am (open Zoom), or by appointment\nTeaching Assistant: TBD Email: TBD Office Hours: TBD" + "objectID": "slides/aesthetic-mappings.html#the-same-data-values-can-be-mapped-to-different-aesthetics", + "href": "slides/aesthetic-mappings.html#the-same-data-values-can-be-mapped-to-different-aesthetics", + "title": "Aesthetic mappings", + "section": "The same data values can be mapped to different aesthetics", + "text": "The same data values can be mapped to different aesthetics" }, { - "objectID": "syllabus.html#purpose-and-contents-of-the-class", - "href": "syllabus.html#purpose-and-contents-of-the-class", - "title": "Syllabus", - "section": "Purpose and contents of the class", - "text": "Purpose and contents of the class\nIn this class, students will learn how to visualize data sets and how to reason about and communicate with data visualizations. A substantial component of this class will be dedicated to learning how to program in R. In addition, students will learn how to compile analyses and visualizations into reports, how to make the reports reproducible, and how to post reports on a website or blog." + "objectID": "slides/aesthetic-mappings.html#we-can-use-many-different-aesthetics-at-once", + "href": "slides/aesthetic-mappings.html#we-can-use-many-different-aesthetics-at-once", + "title": "Aesthetic mappings", + "section": "We can use many different aesthetics at once", + "text": "We can use many different aesthetics at once" }, { - "objectID": "syllabus.html#prerequisites", - "href": "syllabus.html#prerequisites", - "title": "Syllabus", - "section": "Prerequisites", - "text": "Prerequisites\nThe class requires no prior knowledge of programming. However, students are expected to have successfully completed an introductory statistics class taught with R, such as SDS 320E, and they are expected to have some basic familiarity with the statistical language R." + "objectID": "slides/aesthetic-mappings.html#getting-the-data", + "href": "slides/aesthetic-mappings.html#getting-the-data", + "title": "Aesthetic mappings", + "section": "Getting the data", + "text": "Getting the data\nAll examples will use the temperatures dataset:\n\ntemperatures <- read_csv(\"https://wilkelab.org/SDS366/datasets/tempnormals.csv\") |>\n mutate(\n location = factor(\n location, levels = c(\"Death Valley\", \"Houston\", \"San Diego\", \"Chicago\")\n )\n ) |>\n select(location, station_id, day_of_year, month, temperature)" + }, + { + "objectID": "slides/aesthetic-mappings.html#we-define-the-mapping-with-aes", + "href": "slides/aesthetic-mappings.html#we-define-the-mapping-with-aes", + "title": "Aesthetic mappings", + "section": "We define the mapping with aes()", + "text": "We define the mapping with aes()\n\nggplot(\n data = temperatures,\n mapping = aes(x = day_of_year, y = temperature, color = location)\n) + \n geom_line()" + }, + { + "objectID": "slides/aesthetic-mappings.html#we-define-the-mapping-with-aes-1", + "href": "slides/aesthetic-mappings.html#we-define-the-mapping-with-aes-1", + "title": "Aesthetic mappings", + "section": "We define the mapping with aes()", + "text": "We define the mapping with aes()\n\nggplot(\n data = temperatures,\n mapping = aes(x = day_of_year, y = location, color = temperature)\n) + \n geom_point(size = 5)" + }, + { + "objectID": "slides/aesthetic-mappings.html#we-frequently-omit-argument-names", + "href": "slides/aesthetic-mappings.html#we-frequently-omit-argument-names", + "title": "Aesthetic mappings", + "section": "We frequently omit argument names", + "text": "We frequently omit argument names\nLong form, all arguments are named:\nggplot(\n data = temperatures,\n mapping = aes(x = day_of_year, y = location, color = temperature)\n) + geom_point(size = 5)\n\n\nAbbreviated form, common arguments remain unnamed:\nggplot(temperatures, aes(day_of_year, location, color = temperature)) + \n geom_point(size = 5)" + }, + { + "objectID": "slides/aesthetic-mappings.html#the-geom-determines-how-the-data-is-shown", + "href": "slides/aesthetic-mappings.html#the-geom-determines-how-the-data-is-shown", + "title": "Aesthetic mappings", + "section": "The geom determines how the data is shown", + "text": "The geom determines how the data is shown\n\nggplot(temperatures, aes(day_of_year, temperature, color = location)) + \n geom_line()" + }, + { + "objectID": "slides/aesthetic-mappings.html#the-geom-determines-how-the-data-is-shown-1", + "href": "slides/aesthetic-mappings.html#the-geom-determines-how-the-data-is-shown-1", + "title": "Aesthetic mappings", + "section": "The geom determines how the data is shown", + "text": "The geom determines how the data is shown\n\nggplot(temperatures, aes(day_of_year, location, color = temperature)) + \n geom_point(size = 5)" + }, + { + "objectID": "slides/aesthetic-mappings.html#the-geom-determines-how-the-data-is-shown-2", + "href": "slides/aesthetic-mappings.html#the-geom-determines-how-the-data-is-shown-2", + "title": "Aesthetic mappings", + "section": "The geom determines how the data is shown", + "text": "The geom determines how the data is shown\n\nggplot(temperatures, aes(month, temperature, color = location)) + \n geom_boxplot()" + }, + { + "objectID": "slides/aesthetic-mappings.html#the-geom-determines-how-the-data-is-shown-3", + "href": "slides/aesthetic-mappings.html#the-geom-determines-how-the-data-is-shown-3", + "title": "Aesthetic mappings", + "section": "The geom determines how the data is shown", + "text": "The geom determines how the data is shown\n\nggplot(temperatures, aes(month, temperature, fill = location)) + \n geom_violin() + \n facet_wrap(~location) # make separate panel per location" + }, + { + "objectID": "slides/aesthetic-mappings.html#distinguish-between-color-and-fill", + "href": "slides/aesthetic-mappings.html#distinguish-between-color-and-fill", + "title": "Aesthetic mappings", + "section": "Distinguish between color and fill", + "text": "Distinguish between color and fill\n\n\ncolor Applies color to points, lines, text, borders\n\n\n\nfill Applies color to any filled areas" + }, + { + "objectID": "slides/aesthetic-mappings.html#many-geoms-use-both-color-and-fill", + "href": "slides/aesthetic-mappings.html#many-geoms-use-both-color-and-fill", + "title": "Aesthetic mappings", + "section": "Many geoms use both color and fill", + "text": "Many geoms use both color and fill\n\nggplot(temperatures, aes(month, temperature, color = location)) + \n geom_boxplot()" + }, + { + "objectID": "slides/aesthetic-mappings.html#many-geoms-use-both-color-and-fill-1", + "href": "slides/aesthetic-mappings.html#many-geoms-use-both-color-and-fill-1", + "title": "Aesthetic mappings", + "section": "Many geoms use both color and fill", + "text": "Many geoms use both color and fill\n\nggplot(temperatures, aes(month, temperature, fill = location)) + \n geom_boxplot()" + }, + { + "objectID": "slides/aesthetic-mappings.html#many-geoms-use-both-color-and-fill-2", + "href": "slides/aesthetic-mappings.html#many-geoms-use-both-color-and-fill-2", + "title": "Aesthetic mappings", + "section": "Many geoms use both color and fill", + "text": "Many geoms use both color and fill\n\nggplot(temperatures, aes(month, temperature, color = location, fill = location)) + \n geom_boxplot()" + }, + { + "objectID": "slides/aesthetic-mappings.html#aesthetics-can-also-be-used-as-parameters", + "href": "slides/aesthetic-mappings.html#aesthetics-can-also-be-used-as-parameters", + "title": "Aesthetic mappings", + "section": "Aesthetics can also be used as parameters", + "text": "Aesthetics can also be used as parameters\n\nggplot(temperatures, aes(month, temperature, fill = location)) + \n geom_boxplot(color = \"steelblue\")" + }, + { + "objectID": "slides/aesthetic-mappings.html#aesthetics-can-also-be-used-as-parameters-1", + "href": "slides/aesthetic-mappings.html#aesthetics-can-also-be-used-as-parameters-1", + "title": "Aesthetic mappings", + "section": "Aesthetics can also be used as parameters", + "text": "Aesthetics can also be used as parameters\n\nggplot(temperatures, aes(month, temperature, color = location)) + \n geom_boxplot(fill = \"steelblue\")" + }, + { + "objectID": "slides/aesthetic-mappings.html#further-reading", + "href": "slides/aesthetic-mappings.html#further-reading", + "title": "Aesthetic mappings", + "section": "Further reading", + "text": "Further reading\n\n\nFundamentals of Data Visualization: Chapter 2: Visualizing data\nData Visualization—A Practical Introduction: Chapter 3: Make a plot\nggplot2 reference documentation\nggplot2 book\nggplot2 cheatsheet" + }, + { + "objectID": "worksheets/visualizing-amounts.html", + "href": "worksheets/visualizing-amounts.html", + "title": "Visualizing amounts", + "section": "", + "text": "In this worksheet, we will discuss a core concept of ggplot, the mapping of data values onto aesthetics.\nFirst we need to load the required R packages. Please wait a moment until the live R session is fully set up and all packages are loaded.\n\n\n\n\n\n\n\n\nNext we set up the data.\n\n\n\n\n\n\n\n\nWe will be working with two datasets. First, box-office gross results for Dec. 22-24, 2017:\n\n\n\n\n\n\n\n\nSecond, data on individual penguins on Antarctica. Note that missing values have been removed:\npenguins2" + }, + { + "objectID": "worksheets/visualizing-amounts.html#introduction", + "href": "worksheets/visualizing-amounts.html#introduction", + "title": "Visualizing amounts", + "section": "", + "text": "In this worksheet, we will discuss a core concept of ggplot, the mapping of data values onto aesthetics.\nFirst we need to load the required R packages. Please wait a moment until the live R session is fully set up and all packages are loaded.\n\n\n\n\n\n\n\n\nNext we set up the data.\n\n\n\n\n\n\n\n\nWe will be working with two datasets. First, box-office gross results for Dec. 22-24, 2017:\n\n\n\n\n\n\n\n\nSecond, data on individual penguins on Antarctica. Note that missing values have been removed:\npenguins2" + }, + { + "objectID": "worksheets/visualizing-amounts.html#drawing-numerical-values-as-bars", + "href": "worksheets/visualizing-amounts.html#drawing-numerical-values-as-bars", + "title": "Visualizing amounts", + "section": "Drawing numerical values as bars", + "text": "Drawing numerical values as bars\nFor the boxoffice dataset, we want to draw the amount (Weekend gross, in million USD) for each movie as a bar. Somewhat confusingly, the ggplot geom that does this is called geom_col(). (There is also a geom_bar(), but it works differently. We’ll get to that later in this tutorial.) Make a bar plot of amount versus title. This means amount goes on the y axis and title on the x axis.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(boxoffice, aes(x = ___, y = ___)) +\n geom_col()\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(boxoffice, aes(x = title, y = amount)) +\n geom_col()\n\n\n\n\nNow flip which column you map onto x and which onto y.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(boxoffice, aes(x = amount, y = title)) +\n geom_col()\n\n\n\n\nThe x-axis label should specify that the amount is in million USD, and the y axis doesn’t need the word “title”. Use xlab() and ylab() to make these changes to the plot.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(boxoffice, aes(x = amount, y = title)) +\n geom_col() +\n xlab(___) +\n ylab(___)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(boxoffice, aes(x = amount, y = title)) +\n geom_col() +\n xlab(\"weekend gross (million USD)\") +\n ylab(NULL) # NULL means nothing, don't show a y label" + }, + { + "objectID": "worksheets/visualizing-amounts.html#getting-bars-into-the-right-order", + "href": "worksheets/visualizing-amounts.html#getting-bars-into-the-right-order", + "title": "Visualizing amounts", + "section": "Getting bars into the right order", + "text": "Getting bars into the right order\nWhenever we are making bar plots, we need to think about the correct order of the bars. By default, ggplot uses alphabetic ordering, but that is rarely appropriate. If there is no inherent ordering (such as, for example, a temporal progression), then it is usually best to order by the magnitude of the values, i.e., sort the bars by length.\nWe can do this with the fct_reorder() function, which takes two arguments: The categorical variable we want to re-order, and the values by which we want to order. Here, the categorical variable is the column title and the values are in the column amount. We can apply the fct_reorder() function right inside the aes() statement.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(boxoffice, aes(x = amount, y = fct_reorder(___, ___))) +\n geom_col() +\n xlab(\"weekend gross (million USD)\") +\n ylab(NULL)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(boxoffice, aes(x = amount, y = fct_reorder(title, amount))) +\n geom_col() +\n xlab(\"weekend gross (million USD)\") +\n ylab(NULL)\n\n\n\n\nTry the following additional experiments in the above code:\n\nWhat happens when you run the above code without the ylab(NULL) statement?\nCan you make the bars blue?\nCan you color the bars by amount or by title?" + }, + { + "objectID": "worksheets/visualizing-amounts.html#drawing-bars-based-on-a-count", + "href": "worksheets/visualizing-amounts.html#drawing-bars-based-on-a-count", + "title": "Visualizing amounts", + "section": "Drawing bars based on a count", + "text": "Drawing bars based on a count\nThe boxoffice dataset contains individual values, the dollar amounts, that we wanted to visualize with bars. Often, however, we encounter a slightly different scenario: A dataset doesn’t contain the numeric amounts directly, but instead contains observations we want to count. This is the case in the penguins2 dataset (see above).\nIt contains one row per penguin. If we want to make a bar plot of the number of penguins of each species (Adelie, Chinstrap, Gentoo), we cannot use geom_col() as before, because the dataset doesn’t have a column that contains these counts.\nThe solution here is to use geom_bar(), which performs a count and then displays the result of that count. Because geom_bar() counts automatically, you only have to provide it with a single aesthetic, which specifies the data column in which you are counting.\nTry this out. Make a bar plot of the number of penguins per species. Map the penguin species onto the x axis.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(penguins2, aes(x = ___)) +\n geom_bar()\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(penguins2, aes(x = species)) +\n geom_bar()\n\n\n\n\nTry the following additional modifications in the above code:\n\nMap penguin species onto the y axis.\nRemove the axis label that says “species”.\nChange the order of the bars manually, using fct_relevel() (see slides)." + }, + { + "objectID": "worksheets/visualizing-amounts.html#counting-subgroups", + "href": "worksheets/visualizing-amounts.html#counting-subgroups", + "title": "Visualizing amounts", + "section": "Counting subgroups", + "text": "Counting subgroups\ngeom_bar() automatically counts how many cases there are in each unique combination of different categorical aesthetics. In the previous example, we had only one categorical aesthetic, species. But we can add a second one, for example sex. Then geom_bar() counts the number of cases in each unique combination of species and sex and draws separate bars for each. Try this out by mapping the sex column onto the fill aesthetic.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(penguins2, aes(x = species, fill = sex)) +\n geom_bar()\n\n\n\n\nBy default, the bars for different fill values but identical x values will be drawn on top of one-another. But there are other possibilities, which are controled by the position argument to geom_bar(). For example, try to set the position to \"dodge\".\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(penguins2, aes(x = species, fill = sex)) +\n geom_bar(position = ___)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(penguins2, aes(x = species, fill = sex)) +\n geom_bar(position = \"dodge\")\n\n\n\n\nIn the above code, also try positions \"stack\" and \"fill\"." + }, + { + "objectID": "syllabus.html", + "href": "syllabus.html", + "title": "Syllabus", + "section": "", + "text": "Title: SDS 366 Data Visualization in R Semester: Spring 2025 Unique: 57785, TTH 5:00pm to 6:30pm, MEZ B0.306\nInstructor: Claus O. Wilke Email: wilke@austin.utexas.edu Office Hours: Mon. 9am - 10am (open Zoom), Thurs. 10am - 11am (open Zoom), or by appointment\nTeaching Assistant: TBD Email: TBD Office Hours: TBD" + }, + { + "objectID": "syllabus.html#course-title-and-instructor", + "href": "syllabus.html#course-title-and-instructor", + "title": "Syllabus", + "section": "", + "text": "Title: SDS 366 Data Visualization in R Semester: Spring 2025 Unique: 57785, TTH 5:00pm to 6:30pm, MEZ B0.306\nInstructor: Claus O. Wilke Email: wilke@austin.utexas.edu Office Hours: Mon. 9am - 10am (open Zoom), Thurs. 10am - 11am (open Zoom), or by appointment\nTeaching Assistant: TBD Email: TBD Office Hours: TBD" + }, + { + "objectID": "syllabus.html#purpose-and-contents-of-the-class", + "href": "syllabus.html#purpose-and-contents-of-the-class", + "title": "Syllabus", + "section": "Purpose and contents of the class", + "text": "Purpose and contents of the class\nIn this class, students will learn how to visualize data sets and how to reason about and communicate with data visualizations. A substantial component of this class will be dedicated to learning how to program in R. In addition, students will learn how to compile analyses and visualizations into reports, how to make the reports reproducible, and how to post reports on a website or blog." + }, + { + "objectID": "syllabus.html#prerequisites", + "href": "syllabus.html#prerequisites", + "title": "Syllabus", + "section": "Prerequisites", + "text": "Prerequisites\nThe class requires no prior knowledge of programming. However, students are expected to have successfully completed an introductory statistics class taught with R, such as SDS 320E, and they are expected to have some basic familiarity with the statistical language R." }, { "objectID": "syllabus.html#textbook", @@ -277,7 +438,7 @@ "href": "syllabus.html#topics-covered", "title": "Syllabus", "section": "Topics covered", - "text": "Topics covered\n\n\n\n\n\n\n\n\nClass\nTopic\nCoding concepts covered\n\n\n\n\n1.\nIntroduction, reproducible workflows\nRStudio setup online, R Markdown\n\n\n2.\nAesthetic mappings\nggplot2 quickstart\n\n\n3.\nTelling a story\n\n\n\n4.\nVisualizing amounts\ngeom_col(), geom_point(), position adjustments\n\n\n5.\nCoordinate systems and axes\ncoords and position scales\n\n\n6.\nVisualizing distributions 1\nstats, geom_density(), geom_histogram()\n\n\n7.\nVisualizing distributions 2\nviolin plots, sina plots, ridgeline plots\n\n\n8.\nColor scales\ncolor and fill scales\n\n\n9.\nData wrangling 1\nmutate(), filter(), arrange()\n\n\n10.\nData wrangling 2\ngroup_by(), summarize(), count()\n\n\n11.\nVisualizing proportions\nbar charts, pie charts\n\n\n12.\nGetting to know your data\nhandling missing data, is.na(), case_when()\n\n\n13.\nGetting things into the right order\nfct_reorder(), fct_lump()\n\n\n14.\nFigure design\nggplot themes\n\n\n15.\nColor spaces, color vision deficiency\ncolorspace package\n\n\n16.\nFunctions and functional programming\nmap(), nest(), purrr package\n\n\n17.\nVisualizing trends\ngeom_smooth()\n\n\n18.\nWorking with models\nlm, cor.test, broom package\n\n\n19.\nVisualizing uncertainty\nfrequency framing, error bars, ggdist package\n\n\n20.\nDimension reduction 1\nPCA\n\n\n21.\nDimension reduction 2\nkernel PCA, t-SNE, UMAP\n\n\n22.\nClustering 1\nk-means clustering\n\n\n23.\nClustering 2\nhierarchical clustering\n\n\n24.\nVisualizing geospatial data\ngeom_sf(), coord_sf()\n\n\n25.\nRedundant coding, text annotations\nggrepel package\n\n\n26.\nInteractive plots\nggiraph package\n\n\n27.\nOver-plotting\njittering, 2d histograms, contour plots\n\n\n28.\nCompound figures\npatchwork package" + "text": "Topics covered\n\n\n\n\n\n\n\n\nClass\nTopic\nCoding concepts covered\n\n\n\n\n1.\nIntroduction, reproducible workflows\nRStudio setup online, Quarto\n\n\n2.\nAesthetic mappings\nggplot2 quickstart\n\n\n3.\nTelling a story\n\n\n\n4.\nVisualizing amounts\ngeom_col(), geom_point(), position adjustments\n\n\n5.\nCoordinate systems and axes\ncoords and position scales\n\n\n6.\nVisualizing distributions 1\nstats, geom_density(), geom_histogram()\n\n\n7.\nVisualizing distributions 2\nviolin plots, sina plots, ridgeline plots\n\n\n8.\nColor scales\ncolor and fill scales\n\n\n9.\nData wrangling 1\nmutate(), filter(), arrange()\n\n\n10.\nData wrangling 2\ngroup_by(), summarize(), count()\n\n\n11.\nVisualizing proportions\nbar charts, pie charts\n\n\n12.\nGetting to know your data\nhandling missing data, is.na(), case_when()\n\n\n13.\nGetting things into the right order\nfct_reorder(), fct_lump()\n\n\n14.\nFigure design\nggplot themes\n\n\n15.\nColor spaces, color vision deficiency\ncolorspace package\n\n\n16.\nFunctions and functional programming\nmap(), nest(), purrr package\n\n\n17.\nVisualizing trends\ngeom_smooth()\n\n\n18.\nWorking with models\nlm, cor.test, broom package\n\n\n19.\nVisualizing uncertainty\nfrequency framing, error bars, ggdist package\n\n\n20.\nDimension reduction 1\nPCA\n\n\n21.\nDimension reduction 2\nkernel PCA, t-SNE, UMAP\n\n\n22.\nClustering 1\nk-means clustering\n\n\n23.\nClustering 2\nhierarchical clustering\n\n\n24.\nVisualizing geospatial data\ngeom_sf(), coord_sf()\n\n\n25.\nRedundant coding, text annotations\nggrepel package\n\n\n26.\nInteractive plots\nggiraph package\n\n\n27.\nOver-plotting\njittering, 2d histograms, contour plots\n\n\n28.\nCompound figures\npatchwork package" }, { "objectID": "syllabus.html#computing-requirements", @@ -350,192 +511,241 @@ "text": "Class Recordings\nIf any class recordings are provided they are reserved only for students in this class for educational purposes and are protected under FERPA. The recordings should not be shared outside the class in any form. Violation of this restriction by a student could lead to Student Misconduct proceedings." }, { - "objectID": "worksheets/visualizing-amounts.html", - "href": "worksheets/visualizing-amounts.html", - "title": "Visualizing amounts", + "objectID": "index.html", + "href": "index.html", + "title": "SDS 366", "section": "", - "text": "In this worksheet, we will discuss a core concept of ggplot, the mapping of data values onto aesthetics.\nFirst we need to load the required R packages. Please wait a moment until the live R session is fully set up and all packages are loaded.\n\n\n\n\n\n\n\n\nNext we set up the data.\n\n\n\n\n\n\n\n\nWe will be working with two datasets. First, box-office gross results for Dec. 22-24, 2017:\n\n\n\n\n\n\n\n\nSecond, data on individual penguins on Antarctica. Note that missing values have been removed:\npenguins2" + "text": "This is the home page for SDS 366, Data Visualization in R. All course materials will be posted on this site.\nInstructor: Claus O. Wilke\nMeeting times: TTH 5:00pm to 6:30pm Venue: MEZ B0.306 Syllabus: click here\nUpcoming lectures and assignments: click here" }, { - "objectID": "worksheets/visualizing-amounts.html#introduction", - "href": "worksheets/visualizing-amounts.html#introduction", - "title": "Visualizing amounts", - "section": "", - "text": "In this worksheet, we will discuss a core concept of ggplot, the mapping of data values onto aesthetics.\nFirst we need to load the required R packages. Please wait a moment until the live R session is fully set up and all packages are loaded.\n\n\n\n\n\n\n\n\nNext we set up the data.\n\n\n\n\n\n\n\n\nWe will be working with two datasets. First, box-office gross results for Dec. 22-24, 2017:\n\n\n\n\n\n\n\n\nSecond, data on individual penguins on Antarctica. Note that missing values have been removed:\npenguins2" + "objectID": "index.html#computing-requirements", + "href": "index.html#computing-requirements", + "title": "SDS 366", + "section": "Computing requirements", + "text": "Computing requirements\nFor students enrolled in this course, you only need a working web browser to access the edupod server, located at: https://edupod.cns.utexas.edu/\nIf you are using the edupod server, stop reading here. Everything is pre-installed and no further action is needed.\nTo run any of the materials locally on your own machine, you will need the following:\n\nA recent version of R, download from here.\nA recent version of RStudio, download from here, OR a recent version of Positron, download from here.\nThe following R packages:\nbroom, cluster, colorspace, cowplot, distill, gapminder, GGally, gganimate, ggiraph, ggdendro, ggdist, ggforce, ggplot2movies, ggrepel, ggridges, ggthemes, gifski, glue, knitr, learnr, naniar, margins, MASS, Matrix, nycflights13, palmerpenguins, patchwork, rmarkdown, rnaturalearth, rnaturalearthhires, scales, sf, shinyjs, sp, tidyverse, transformr, umap, xaringan\n\nYou can install all required R packages at once by running the following code in the R command line:\n# first run this command:\ninstall.packages(\n c(\n \"broom\", \"cluster\", \"colorspace\", \"cowplot\", \"distill\", \"gapminder\", \n \"GGally\", \"gganimate\", \"ggiraph\", \"ggdendro\", \"ggdist\", \"ggforce\",\n \"ggplot2movies\", \"ggrepel\", \"ggridges\", \"ggthemes\", \"gifski\", \"glue\",\n \"knitr\", \"learnr\", \"naniar\", \"margins\", \"MASS\", \"Matrix\",\n \"nycflights13\", \"palmerpenguins\", \"patchwork\", \"rmarkdown\", \"rnaturalearth\",\n \"scales\", \"sf\", \"shinyjs\", \"sp\", \"tidyverse\", \"transformr\", \"umap\",\n \"xaringan\"\n )\n)\n\n# then run this command:\ninstall.packages(\n \"rnaturalearthhires\", repos = \"https://packages.ropensci.org\", type = \"source\"\n)" }, { - "objectID": "worksheets/visualizing-amounts.html#drawing-numerical-values-as-bars", - "href": "worksheets/visualizing-amounts.html#drawing-numerical-values-as-bars", - "title": "Visualizing amounts", - "section": "Drawing numerical values as bars", - "text": "Drawing numerical values as bars\nFor the boxoffice dataset, we want to draw the amount (Weekend gross, in million USD) for each movie as a bar. Somewhat confusingly, the ggplot geom that does this is called geom_col(). (There is also a geom_bar(), but it works differently. We’ll get to that later in this tutorial.) Make a bar plot of amount versus title. This means amount goes on the y axis and title on the x axis.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(boxoffice, aes(x = ___, y = ___)) +\n geom_col()\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(boxoffice, aes(x = title, y = amount)) +\n geom_col()\n\n\n\n\nNow flip which column you map onto x and which onto y.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(boxoffice, aes(x = amount, y = title)) +\n geom_col()\n\n\n\n\nThe x-axis label should specify that the amount is in million USD, and the y axis doesn’t need the word “title”. Use xlab() and ylab() to make these changes to the plot.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(boxoffice, aes(x = amount, y = title)) +\n geom_col() +\n xlab(___) +\n ylab(___)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(boxoffice, aes(x = amount, y = title)) +\n geom_col() +\n xlab(\"weekend gross (million USD)\") +\n ylab(NULL) # NULL means nothing, don't show a y label" + "objectID": "schedule.html#homeworks", + "href": "schedule.html#homeworks", + "title": "SDS 366 Schedule Spring 2025", + "section": "Homeworks", + "text": "Homeworks\nAll homeworks are due by 11:00pm on the day they are due. Homeworks need to be submitted as pdf files on Canvas." }, { - "objectID": "worksheets/visualizing-amounts.html#getting-bars-into-the-right-order", - "href": "worksheets/visualizing-amounts.html#getting-bars-into-the-right-order", - "title": "Visualizing amounts", - "section": "Getting bars into the right order", - "text": "Getting bars into the right order\nWhenever we are making bar plots, we need to think about the correct order of the bars. By default, ggplot uses alphabetic ordering, but that is rarely appropriate. If there is no inherent ordering (such as, for example, a temporal progression), then it is usually best to order by the magnitude of the values, i.e., sort the bars by length.\nWe can do this with the fct_reorder() function, which takes two arguments: The categorical variable we want to re-order, and the values by which we want to order. Here, the categorical variable is the column title and the values are in the column amount. We can apply the fct_reorder() function right inside the aes() statement.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(boxoffice, aes(x = amount, y = fct_reorder(___, ___))) +\n geom_col() +\n xlab(\"weekend gross (million USD)\") +\n ylab(NULL)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(boxoffice, aes(x = amount, y = fct_reorder(title, amount))) +\n geom_col() +\n xlab(\"weekend gross (million USD)\") +\n ylab(NULL)\n\n\n\n\nTry the following additional experiments in the above code:\n\nWhat happens when you run the above code without the ylab(NULL) statement?\nCan you make the bars blue?\nCan you color the bars by amount or by title?" + "objectID": "schedule.html#projects", + "href": "schedule.html#projects", + "title": "SDS 366 Schedule Spring 2025", + "section": "Projects", + "text": "Projects\nAll projects are due by 11:00pm on the day they are due. Projects need to be submitted on Canvas. Please carefully read the submission instructions for each project." }, { - "objectID": "worksheets/visualizing-amounts.html#drawing-bars-based-on-a-count", - "href": "worksheets/visualizing-amounts.html#drawing-bars-based-on-a-count", - "title": "Visualizing amounts", - "section": "Drawing bars based on a count", - "text": "Drawing bars based on a count\nThe boxoffice dataset contains individual values, the dollar amounts, that we wanted to visualize with bars. Often, however, we encounter a slightly different scenario: A dataset doesn’t contain the numeric amounts directly, but instead contains observations we want to count. This is the case in the penguins2 dataset (see above).\nIt contains one row per penguin. If we want to make a bar plot of the number of penguins of each species (Adelie, Chinstrap, Gentoo), we cannot use geom_col() as before, because the dataset doesn’t have a column that contains these counts.\nThe solution here is to use geom_bar(), which performs a count and then displays the result of that count. Because geom_bar() counts automatically, you only have to provide it with a single aesthetic, which specifies the data column in which you are counting.\nTry this out. Make a bar plot of the number of penguins per species. Map the penguin species onto the x axis.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(penguins2, aes(x = ___)) +\n geom_bar()\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(penguins2, aes(x = species)) +\n geom_bar()\n\n\n\n\nTry the following additional modifications in the above code:\n\nMap penguin species onto the y axis.\nRemove the axis label that says “species”.\nChange the order of the bars manually, using fct_relevel() (see slides)." + "objectID": "slides/telling-a-story.html#how-did-i-get-to-teach-data-visualization", + "href": "slides/telling-a-story.html#how-did-i-get-to-teach-data-visualization", + "title": "Telling a story", + "section": "How did I get to teach data visualization?", + "text": "How did I get to teach data visualization?" }, { - "objectID": "worksheets/visualizing-amounts.html#counting-subgroups", - "href": "worksheets/visualizing-amounts.html#counting-subgroups", - "title": "Visualizing amounts", - "section": "Counting subgroups", - "text": "Counting subgroups\ngeom_bar() automatically counts how many cases there are in each unique combination of different categorical aesthetics. In the previous example, we had only one categorical aesthetic, species. But we can add a second one, for example sex. Then geom_bar() counts the number of cases in each unique combination of species and sex and draws separate bars for each. Try this out by mapping the sex column onto the fill aesthetic.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(penguins2, aes(x = species, fill = sex)) +\n geom_bar()\n\n\n\n\nBy default, the bars for different fill values but identical x values will be drawn on top of one-another. But there are other possibilities, which are controled by the position argument to geom_bar(). For example, try to set the position to \"dodge\".\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(penguins2, aes(x = species, fill = sex)) +\n geom_bar(position = ___)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(penguins2, aes(x = species, fill = sex)) +\n geom_bar(position = \"dodge\")\n\n\n\n\nIn the above code, also try positions \"stack\" and \"fill\"." + "objectID": "slides/telling-a-story.html#what-is-a-story", + "href": "slides/telling-a-story.html#what-is-a-story", + "title": "Telling a story", + "section": "What is a story?", + "text": "What is a story?\n\n\nA story is a collection of observations, facts, or events presented in a specific order such that they create an emotional reaction." }, { - "objectID": "slides/aesthetic-mappings.html#dataset-daily-average-temperatures-for-various-locations", - "href": "slides/aesthetic-mappings.html#dataset-daily-average-temperatures-for-various-locations", - "title": "Aesthetic mappings", - "section": "Dataset:Daily average temperatures for various locations", - "text": "Dataset:Daily average temperatures for various locations\n\n\n\n\n\n\nlocation\nday_of_year\nmonth\ntemperature\n\n\n\n\nDeath Valley\n1\n01\n51.0\n\n\nDeath Valley\n2\n01\n51.2\n\n\nDeath Valley\n3\n01\n51.3\n\n\nDeath Valley\n4\n01\n51.4\n\n\nDeath Valley\n5\n01\n51.6\n\n\nDeath Valley\n6\n01\n51.7\n\n\nDeath Valley\n7\n01\n51.9\n\n\nDeath Valley\n8\n01\n52.0\n\n\nDeath Valley\n9\n01\n52.2\n\n\nDeath Valley\n10\n01\n52.3\n\n\nDeath Valley\n11\n01\n52.5\n\n\nDeath Valley\n12\n01\n52.7\n\n\nDeath Valley\n13\n01\n52.9\n\n\nDeath Valley\n14\n01\n53.0\n\n\nDeath Valley\n15\n01\n53.2\n\n\nDeath Valley\n16\n01\n53.4\n\n\nDeath Valley\n17\n01\n53.6\n\n\nDeath Valley\n18\n01\n53.7\n\n\nDeath Valley\n19\n01\n53.9\n\n\nDeath Valley\n20\n01\n54.1\n\n\nDeath Valley\n21\n01\n54.3\n\n\nDeath Valley\n22\n01\n54.5\n\n\nDeath Valley\n23\n01\n54.6\n\n\nDeath Valley\n24\n01\n54.8\n\n\nDeath Valley\n25\n01\n55.0\n\n\nDeath Valley\n26\n01\n55.2\n\n\nDeath Valley\n27\n01\n55.4\n\n\nDeath Valley\n28\n01\n55.6\n\n\nDeath Valley\n29\n01\n55.8\n\n\nDeath Valley\n30\n01\n56.0\n\n\nDeath Valley\n31\n01\n56.2\n\n\nDeath Valley\n32\n02\n56.4\n\n\nDeath Valley\n33\n02\n56.6\n\n\nDeath Valley\n34\n02\n56.8\n\n\nDeath Valley\n35\n02\n57.0\n\n\nDeath Valley\n36\n02\n57.2\n\n\nDeath Valley\n37\n02\n57.5\n\n\nDeath Valley\n38\n02\n57.7\n\n\nDeath Valley\n39\n02\n57.9\n\n\nDeath Valley\n40\n02\n58.2\n\n\nDeath Valley\n41\n02\n58.4\n\n\nDeath Valley\n42\n02\n58.7\n\n\nDeath Valley\n43\n02\n58.9\n\n\nDeath Valley\n44\n02\n59.2\n\n\nDeath Valley\n45\n02\n59.5\n\n\nDeath Valley\n46\n02\n59.8\n\n\nDeath Valley\n47\n02\n60.1\n\n\nDeath Valley\n48\n02\n60.3\n\n\nDeath Valley\n49\n02\n60.6\n\n\nDeath Valley\n50\n02\n60.9\n\n\nDeath Valley\n51\n02\n61.2\n\n\nDeath Valley\n52\n02\n61.6\n\n\nDeath Valley\n53\n02\n61.9\n\n\nDeath Valley\n54\n02\n62.2\n\n\nDeath Valley\n55\n02\n62.5\n\n\nDeath Valley\n56\n02\n62.8\n\n\nDeath Valley\n57\n02\n63.2\n\n\nDeath Valley\n58\n02\n63.5\n\n\nDeath Valley\n59\n02\n63.8\n\n\nDeath Valley\n60\n02\n64.0\n\n\nDeath Valley\n61\n03\n64.1\n\n\nDeath Valley\n62\n03\n64.5\n\n\nDeath Valley\n63\n03\n64.8\n\n\nDeath Valley\n64\n03\n65.1\n\n\nDeath Valley\n65\n03\n65.4\n\n\nDeath Valley\n66\n03\n65.7\n\n\nDeath Valley\n67\n03\n66.0\n\n\nDeath Valley\n68\n03\n66.3\n\n\nDeath Valley\n69\n03\n66.7\n\n\nDeath Valley\n70\n03\n67.0\n\n\nDeath Valley\n71\n03\n67.2\n\n\nDeath Valley\n72\n03\n67.5\n\n\nDeath Valley\n73\n03\n67.8\n\n\nDeath Valley\n74\n03\n68.1\n\n\nDeath Valley\n75\n03\n68.4\n\n\nDeath Valley\n76\n03\n68.6\n\n\nDeath Valley\n77\n03\n68.9\n\n\nDeath Valley\n78\n03\n69.2\n\n\nDeath Valley\n79\n03\n69.4\n\n\nDeath Valley\n80\n03\n69.7\n\n\nDeath Valley\n81\n03\n69.9\n\n\nDeath Valley\n82\n03\n70.1\n\n\nDeath Valley\n83\n03\n70.4\n\n\nDeath Valley\n84\n03\n70.6\n\n\nDeath Valley\n85\n03\n70.8\n\n\nDeath Valley\n86\n03\n71.1\n\n\nDeath Valley\n87\n03\n71.3\n\n\nDeath Valley\n88\n03\n71.5\n\n\nDeath Valley\n89\n03\n71.7\n\n\nDeath Valley\n90\n03\n71.9\n\n\nDeath Valley\n91\n03\n72.2\n\n\nDeath Valley\n92\n04\n72.4\n\n\nDeath Valley\n93\n04\n72.6\n\n\nDeath Valley\n94\n04\n72.8\n\n\nDeath Valley\n95\n04\n73.1\n\n\nDeath Valley\n96\n04\n73.3\n\n\nDeath Valley\n97\n04\n73.5\n\n\nDeath Valley\n98\n04\n73.8\n\n\nDeath Valley\n99\n04\n74.0\n\n\nDeath Valley\n100\n04\n74.3\n\n\nDeath Valley\n101\n04\n74.5\n\n\nDeath Valley\n102\n04\n74.8\n\n\nDeath Valley\n103\n04\n75.1\n\n\nDeath Valley\n104\n04\n75.3\n\n\nDeath Valley\n105\n04\n75.6\n\n\nDeath Valley\n106\n04\n75.9\n\n\nDeath Valley\n107\n04\n76.2\n\n\nDeath Valley\n108\n04\n76.5\n\n\nDeath Valley\n109\n04\n76.8\n\n\nDeath Valley\n110\n04\n77.1\n\n\nDeath Valley\n111\n04\n77.5\n\n\nDeath Valley\n112\n04\n77.8\n\n\nDeath Valley\n113\n04\n78.1\n\n\nDeath Valley\n114\n04\n78.5\n\n\nDeath Valley\n115\n04\n78.8\n\n\nDeath Valley\n116\n04\n79.2\n\n\nDeath Valley\n117\n04\n79.5\n\n\nDeath Valley\n118\n04\n79.9\n\n\nDeath Valley\n119\n04\n80.3\n\n\nDeath Valley\n120\n04\n80.6\n\n\nDeath Valley\n121\n04\n81.0\n\n\nDeath Valley\n122\n05\n81.4\n\n\nDeath Valley\n123\n05\n81.7\n\n\nDeath Valley\n124\n05\n82.1\n\n\nDeath Valley\n125\n05\n82.5\n\n\nDeath Valley\n126\n05\n82.9\n\n\nDeath Valley\n127\n05\n83.2\n\n\nDeath Valley\n128\n05\n83.6\n\n\nDeath Valley\n129\n05\n84.0\n\n\nDeath Valley\n130\n05\n84.3\n\n\nDeath Valley\n131\n05\n84.7\n\n\nDeath Valley\n132\n05\n85.1\n\n\nDeath Valley\n133\n05\n85.4\n\n\nDeath Valley\n134\n05\n85.8\n\n\nDeath Valley\n135\n05\n86.1\n\n\nDeath Valley\n136\n05\n86.4\n\n\nDeath Valley\n137\n05\n86.8\n\n\nDeath Valley\n138\n05\n87.1\n\n\nDeath Valley\n139\n05\n87.4\n\n\nDeath Valley\n140\n05\n87.8\n\n\nDeath Valley\n141\n05\n88.1\n\n\nDeath Valley\n142\n05\n88.4\n\n\nDeath Valley\n143\n05\n88.7\n\n\nDeath Valley\n144\n05\n89.0\n\n\nDeath Valley\n145\n05\n89.3\n\n\nDeath Valley\n146\n05\n89.6\n\n\nDeath Valley\n147\n05\n89.9\n\n\nDeath Valley\n148\n05\n90.1\n\n\nDeath Valley\n149\n05\n90.4\n\n\nDeath Valley\n150\n05\n90.7\n\n\nDeath Valley\n151\n05\n91.0\n\n\nDeath Valley\n152\n05\n91.3\n\n\nDeath Valley\n153\n06\n91.5\n\n\nDeath Valley\n154\n06\n91.8\n\n\nDeath Valley\n155\n06\n92.1\n\n\nDeath Valley\n156\n06\n92.3\n\n\nDeath Valley\n157\n06\n92.6\n\n\nDeath Valley\n158\n06\n92.9\n\n\nDeath Valley\n159\n06\n93.1\n\n\nDeath Valley\n160\n06\n93.4\n\n\nDeath Valley\n161\n06\n93.7\n\n\nDeath Valley\n162\n06\n94.0\n\n\nDeath Valley\n163\n06\n94.2\n\n\nDeath Valley\n164\n06\n94.5\n\n\nDeath Valley\n165\n06\n94.8\n\n\nDeath Valley\n166\n06\n95.1\n\n\nDeath Valley\n167\n06\n95.4\n\n\nDeath Valley\n168\n06\n95.7\n\n\nDeath Valley\n169\n06\n95.9\n\n\nDeath Valley\n170\n06\n96.2\n\n\nDeath Valley\n171\n06\n96.5\n\n\nDeath Valley\n172\n06\n96.8\n\n\nDeath Valley\n173\n06\n97.1\n\n\nDeath Valley\n174\n06\n97.4\n\n\nDeath Valley\n175\n06\n97.7\n\n\nDeath Valley\n176\n06\n98.0\n\n\nDeath Valley\n177\n06\n98.3\n\n\nDeath Valley\n178\n06\n98.5\n\n\nDeath Valley\n179\n06\n98.8\n\n\nDeath Valley\n180\n06\n99.1\n\n\nDeath Valley\n181\n06\n99.4\n\n\nDeath Valley\n182\n06\n99.6\n\n\nDeath Valley\n183\n07\n99.9\n\n\nDeath Valley\n184\n07\n100.2\n\n\nDeath Valley\n185\n07\n100.4\n\n\nDeath Valley\n186\n07\n100.6\n\n\nDeath Valley\n187\n07\n100.9\n\n\nDeath Valley\n188\n07\n101.1\n\n\nDeath Valley\n189\n07\n101.3\n\n\nDeath Valley\n190\n07\n101.5\n\n\nDeath Valley\n191\n07\n101.7\n\n\nDeath Valley\n192\n07\n101.9\n\n\nDeath Valley\n193\n07\n102.1\n\n\nDeath Valley\n194\n07\n102.2\n\n\nDeath Valley\n195\n07\n102.4\n\n\nDeath Valley\n196\n07\n102.5\n\n\nDeath Valley\n197\n07\n102.6\n\n\nDeath Valley\n198\n07\n102.8\n\n\nDeath Valley\n199\n07\n102.9\n\n\nDeath Valley\n200\n07\n102.9\n\n\nDeath Valley\n201\n07\n103.0\n\n\nDeath Valley\n202\n07\n103.1\n\n\nDeath Valley\n203\n07\n103.1\n\n\nDeath Valley\n204\n07\n103.1\n\n\nDeath Valley\n205\n07\n103.1\n\n\nDeath Valley\n206\n07\n103.2\n\n\nDeath Valley\n207\n07\n103.1\n\n\nDeath Valley\n208\n07\n103.1\n\n\nDeath Valley\n209\n07\n103.1\n\n\nDeath Valley\n210\n07\n103.0\n\n\nDeath Valley\n211\n07\n103.0\n\n\nDeath Valley\n212\n07\n102.9\n\n\nDeath Valley\n213\n07\n102.8\n\n\nDeath Valley\n214\n08\n102.7\n\n\nDeath Valley\n215\n08\n102.6\n\n\nDeath Valley\n216\n08\n102.5\n\n\nDeath Valley\n217\n08\n102.4\n\n\nDeath Valley\n218\n08\n102.3\n\n\nDeath Valley\n219\n08\n102.2\n\n\nDeath Valley\n220\n08\n102.0\n\n\nDeath Valley\n221\n08\n101.9\n\n\nDeath Valley\n222\n08\n101.7\n\n\nDeath Valley\n223\n08\n101.5\n\n\nDeath Valley\n224\n08\n101.4\n\n\nDeath Valley\n225\n08\n101.2\n\n\nDeath Valley\n226\n08\n101.0\n\n\nDeath Valley\n227\n08\n100.8\n\n\nDeath Valley\n228\n08\n100.6\n\n\nDeath Valley\n229\n08\n100.4\n\n\nDeath Valley\n230\n08\n100.2\n\n\nDeath Valley\n231\n08\n100.0\n\n\nDeath Valley\n232\n08\n99.8\n\n\nDeath Valley\n233\n08\n99.6\n\n\nDeath Valley\n234\n08\n99.4\n\n\nDeath Valley\n235\n08\n99.1\n\n\nDeath Valley\n236\n08\n98.9\n\n\nDeath Valley\n237\n08\n98.6\n\n\nDeath Valley\n238\n08\n98.4\n\n\nDeath Valley\n239\n08\n98.1\n\n\nDeath Valley\n240\n08\n97.9\n\n\nDeath Valley\n241\n08\n97.6\n\n\nDeath Valley\n242\n08\n97.3\n\n\nDeath Valley\n243\n08\n97.1\n\n\nDeath Valley\n244\n08\n96.8\n\n\nDeath Valley\n245\n09\n96.5\n\n\nDeath Valley\n246\n09\n96.2\n\n\nDeath Valley\n247\n09\n95.9\n\n\nDeath Valley\n248\n09\n95.6\n\n\nDeath Valley\n249\n09\n95.2\n\n\nDeath Valley\n250\n09\n94.9\n\n\nDeath Valley\n251\n09\n94.6\n\n\nDeath Valley\n252\n09\n94.2\n\n\nDeath Valley\n253\n09\n93.8\n\n\nDeath Valley\n254\n09\n93.5\n\n\nDeath Valley\n255\n09\n93.1\n\n\nDeath Valley\n256\n09\n92.7\n\n\nDeath Valley\n257\n09\n92.3\n\n\nDeath Valley\n258\n09\n91.9\n\n\nDeath Valley\n259\n09\n91.5\n\n\nDeath Valley\n260\n09\n91.1\n\n\nDeath Valley\n261\n09\n90.7\n\n\nDeath Valley\n262\n09\n90.3\n\n\nDeath Valley\n263\n09\n89.8\n\n\nDeath Valley\n264\n09\n89.4\n\n\nDeath Valley\n265\n09\n88.9\n\n\nDeath Valley\n266\n09\n88.5\n\n\nDeath Valley\n267\n09\n88.0\n\n\nDeath Valley\n268\n09\n87.6\n\n\nDeath Valley\n269\n09\n87.1\n\n\nDeath Valley\n270\n09\n86.6\n\n\nDeath Valley\n271\n09\n86.1\n\n\nDeath Valley\n272\n09\n85.7\n\n\nDeath Valley\n273\n09\n85.2\n\n\nDeath Valley\n274\n09\n84.7\n\n\nDeath Valley\n275\n10\n84.2\n\n\nDeath Valley\n276\n10\n83.7\n\n\nDeath Valley\n277\n10\n83.3\n\n\nDeath Valley\n278\n10\n82.8\n\n\nDeath Valley\n279\n10\n82.3\n\n\nDeath Valley\n280\n10\n81.8\n\n\nDeath Valley\n281\n10\n81.3\n\n\nDeath Valley\n282\n10\n80.9\n\n\nDeath Valley\n283\n10\n80.4\n\n\nDeath Valley\n284\n10\n79.9\n\n\nDeath Valley\n285\n10\n79.4\n\n\nDeath Valley\n286\n10\n79.0\n\n\nDeath Valley\n287\n10\n78.5\n\n\nDeath Valley\n288\n10\n78.0\n\n\nDeath Valley\n289\n10\n77.6\n\n\nDeath Valley\n290\n10\n77.1\n\n\nDeath Valley\n291\n10\n76.6\n\n\nDeath Valley\n292\n10\n76.2\n\n\nDeath Valley\n293\n10\n75.7\n\n\nDeath Valley\n294\n10\n75.3\n\n\nDeath Valley\n295\n10\n74.8\n\n\nDeath Valley\n296\n10\n74.3\n\n\nDeath Valley\n297\n10\n73.9\n\n\nDeath Valley\n298\n10\n73.4\n\n\nDeath Valley\n299\n10\n73.0\n\n\nDeath Valley\n300\n10\n72.5\n\n\nDeath Valley\n301\n10\n72.1\n\n\nDeath Valley\n302\n10\n71.6\n\n\nDeath Valley\n303\n10\n71.1\n\n\nDeath Valley\n304\n10\n70.7\n\n\nDeath Valley\n305\n10\n70.2\n\n\nDeath Valley\n306\n11\n69.7\n\n\nDeath Valley\n307\n11\n69.3\n\n\nDeath Valley\n308\n11\n68.8\n\n\nDeath Valley\n309\n11\n68.3\n\n\nDeath Valley\n310\n11\n67.8\n\n\nDeath Valley\n311\n11\n67.3\n\n\nDeath Valley\n312\n11\n66.9\n\n\nDeath Valley\n313\n11\n66.4\n\n\nDeath Valley\n314\n11\n65.9\n\n\nDeath Valley\n315\n11\n65.4\n\n\nDeath Valley\n316\n11\n64.9\n\n\nDeath Valley\n317\n11\n64.4\n\n\nDeath Valley\n318\n11\n63.9\n\n\nDeath Valley\n319\n11\n63.3\n\n\nDeath Valley\n320\n11\n62.8\n\n\nDeath Valley\n321\n11\n62.3\n\n\nDeath Valley\n322\n11\n61.8\n\n\nDeath Valley\n323\n11\n61.3\n\n\nDeath Valley\n324\n11\n60.8\n\n\nDeath Valley\n325\n11\n60.3\n\n\nDeath Valley\n326\n11\n59.8\n\n\nDeath Valley\n327\n11\n59.3\n\n\nDeath Valley\n328\n11\n58.8\n\n\nDeath Valley\n329\n11\n58.3\n\n\nDeath Valley\n330\n11\n57.9\n\n\nDeath Valley\n331\n11\n57.4\n\n\nDeath Valley\n332\n11\n56.9\n\n\nDeath Valley\n333\n11\n56.5\n\n\nDeath Valley\n334\n11\n56.0\n\n\nDeath Valley\n335\n11\n55.6\n\n\nDeath Valley\n336\n12\n55.2\n\n\nDeath Valley\n337\n12\n54.8\n\n\nDeath Valley\n338\n12\n54.4\n\n\nDeath Valley\n339\n12\n54.0\n\n\nDeath Valley\n340\n12\n53.7\n\n\nDeath Valley\n341\n12\n53.3\n\n\nDeath Valley\n342\n12\n53.0\n\n\nDeath Valley\n343\n12\n52.7\n\n\nDeath Valley\n344\n12\n52.4\n\n\nDeath Valley\n345\n12\n52.2\n\n\nDeath Valley\n346\n12\n51.9\n\n\nDeath Valley\n347\n12\n51.7\n\n\nDeath Valley\n348\n12\n51.5\n\n\nDeath Valley\n349\n12\n51.3\n\n\nDeath Valley\n350\n12\n51.1\n\n\nDeath Valley\n351\n12\n51.0\n\n\nDeath Valley\n352\n12\n50.9\n\n\nDeath Valley\n353\n12\n50.8\n\n\nDeath Valley\n354\n12\n50.7\n\n\nDeath Valley\n355\n12\n50.6\n\n\nDeath Valley\n356\n12\n50.6\n\n\nDeath Valley\n357\n12\n50.5\n\n\nDeath Valley\n358\n12\n50.5\n\n\nDeath Valley\n359\n12\n50.5\n\n\nDeath Valley\n360\n12\n50.5\n\n\nDeath Valley\n361\n12\n50.6\n\n\nDeath Valley\n362\n12\n50.6\n\n\nDeath Valley\n363\n12\n50.7\n\n\nDeath Valley\n364\n12\n50.8\n\n\nDeath Valley\n365\n12\n50.8\n\n\nDeath 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"text": "The same data values can be mapped to different aesthetics" + "objectID": "slides/telling-a-story.html#mapping-my-story-onto-this-format-1", + "href": "slides/telling-a-story.html#mapping-my-story-onto-this-format-1", + "title": "Telling a story", + "section": "Mapping my story onto this format", + "text": "Mapping my story onto this format\n\nAction: In May 2017, I embark on a major project: Write a book on data visualization\n\n\nBackground: I do this because we need to make many data visualizations in my lab, and I end up telling my students the same things over and over\n\n\nDevelopment: Writing the book takes me almost two years; along the way, I add many features to ggplot2 and become a member of the ggplot2 team\n\n\nClimax: The book is released in April 2019\n\n\nEnding: Now I’m a dataviz teacher" }, { - "objectID": "slides/aesthetic-mappings.html#we-can-use-many-different-aesthetics-at-once", - "href": "slides/aesthetic-mappings.html#we-can-use-many-different-aesthetics-at-once", - "title": "Aesthetic mappings", - "section": "We can use many different aesthetics at once", - "text": "We can use many different aesthetics at once" + "objectID": "slides/telling-a-story.html#other-story-structures-1", + "href": "slides/telling-a-story.html#other-story-structures-1", + "title": "Telling a story", + "section": "Other story structures", + "text": "Other story structures\n\n\nLead\n\n\n\nDevelopment\n\n\n(Commonly used in newspaper articles)" }, { - "objectID": "slides/aesthetic-mappings.html#getting-the-data", - "href": "slides/aesthetic-mappings.html#getting-the-data", - "title": "Aesthetic mappings", - "section": "Getting the data", - "text": "Getting the data\nAll examples will use the temperatures dataset:\n\ntemperatures <- read_csv(\"https://wilkelab.org/SDS366/datasets/tempnormals.csv\") |>\n mutate(\n location = factor(\n location, levels = c(\"Death Valley\", \"Houston\", \"San Diego\", \"Chicago\")\n )\n ) |>\n select(location, station_id, day_of_year, month, temperature)" + "objectID": "slides/telling-a-story.html#mapping-my-story-onto-this-format-2", + "href": "slides/telling-a-story.html#mapping-my-story-onto-this-format-2", + "title": "Telling a story", + "section": "Mapping my story onto this format", + "text": "Mapping my story onto this format\n\nLead: Because I see the need for more education in data visualization, I have written an entire book about the topic\n\n\nDevelopment: I had previously written an R package to improve figure design, but it wasn’t sufficient: Good judgement cannot be automated\n\n\nSo I wrote a book; the book is entirely about concepts, not about coding, and it is meant as a resource for anybody doing data visualizations, regardless of their preferred visualization software" }, { - "objectID": "slides/aesthetic-mappings.html#we-define-the-mapping-with-aes", - "href": "slides/aesthetic-mappings.html#we-define-the-mapping-with-aes", - "title": "Aesthetic mappings", - "section": "We define the mapping with aes()", - "text": "We define the mapping with aes()\n\nggplot(\n data = temperatures,\n mapping = aes(x = day_of_year, y = temperature, color = location)\n) + \n geom_line()" + "objectID": "slides/telling-a-story.html#example-preprints-in-biology", + "href": "slides/telling-a-story.html#example-preprints-in-biology", + "title": "Telling a story", + "section": "Example: Preprints in biology", + "text": "Example: Preprints in biology\n\n\n\n\n\n \n\n\n\n\n\nOpening" }, { - "objectID": "slides/aesthetic-mappings.html#we-define-the-mapping-with-aes-1", - "href": "slides/aesthetic-mappings.html#we-define-the-mapping-with-aes-1", - "title": "Aesthetic mappings", - "section": "We define the mapping with aes()", - "text": "We define the mapping with aes()\n\nggplot(\n data = temperatures,\n mapping = aes(x = day_of_year, y = location, color = temperature)\n) + \n geom_point(size = 5)" + "objectID": "slides/telling-a-story.html#example-preprints-in-biology-1", + "href": "slides/telling-a-story.html#example-preprints-in-biology-1", + "title": "Telling a story", + "section": "Example: Preprints in biology", + "text": "Example: Preprints in biology\n\n\n\n\n\n \n\n\n\n\nWhat happened in 2014 to curtail the growth?\n\nChallenge" }, { - "objectID": "slides/aesthetic-mappings.html#we-frequently-omit-argument-names", - "href": "slides/aesthetic-mappings.html#we-frequently-omit-argument-names", - "title": "Aesthetic mappings", - "section": "We frequently omit argument names", - "text": "We frequently omit argument names\nLong form, all arguments are named:\nggplot(\n data = temperatures,\n mapping = aes(x = day_of_year, y = location, color = temperature)\n) + geom_point(size = 5)\n\n\nAbbreviated form, common arguments remain unnamed:\nggplot(temperatures, aes(day_of_year, location, color = temperature)) + \n geom_point(size = 5)" + "objectID": "slides/telling-a-story.html#example-preprints-in-biology-2", + "href": "slides/telling-a-story.html#example-preprints-in-biology-2", + "title": "Telling a story", + "section": "Example: Preprints in biology", + "text": "Example: Preprints in biology\n\n\n\n\n\n \n\n\n\n\nbioRxiv opened in 2014\n\nResolution" }, { - "objectID": "slides/aesthetic-mappings.html#the-geom-determines-how-the-data-is-shown", - "href": "slides/aesthetic-mappings.html#the-geom-determines-how-the-data-is-shown", - "title": "Aesthetic mappings", - "section": "The geom determines how the data is shown", - "text": "The geom determines how the data is shown\n\nggplot(temperatures, aes(day_of_year, temperature, color = location)) + \n geom_line()" + "objectID": "slides/telling-a-story.html#keep-in-mind", + "href": "slides/telling-a-story.html#keep-in-mind", + "title": "Telling a story", + "section": "Keep in mind", + "text": "Keep in mind\n\n\nEvery figure needs a clear purpose within the story arc\nA complete arc will usually require at least two figures" }, { - "objectID": "slides/aesthetic-mappings.html#the-geom-determines-how-the-data-is-shown-1", - "href": "slides/aesthetic-mappings.html#the-geom-determines-how-the-data-is-shown-1", - "title": "Aesthetic mappings", - "section": "The geom determines how the data is shown", - "text": "The geom determines how the data is shown\n\nggplot(temperatures, aes(day_of_year, location, color = temperature)) + \n geom_point(size = 5)" + "objectID": "slides/telling-a-story.html#prepare-figures-that-make-a-clear-point", + "href": "slides/telling-a-story.html#prepare-figures-that-make-a-clear-point", + "title": "Telling a story", + "section": "Prepare figures that make a clear point", + "text": "Prepare figures that make a clear point" }, { - "objectID": "slides/aesthetic-mappings.html#the-geom-determines-how-the-data-is-shown-2", - "href": "slides/aesthetic-mappings.html#the-geom-determines-how-the-data-is-shown-2", - "title": "Aesthetic mappings", - "section": "The geom determines how the data is shown", - "text": "The geom determines how the data is shown\n\nggplot(temperatures, aes(month, temperature, color = location)) + \n geom_boxplot()" + "objectID": "slides/telling-a-story.html#prepare-figures-that-make-a-clear-point-1", + "href": "slides/telling-a-story.html#prepare-figures-that-make-a-clear-point-1", + "title": "Telling a story", + "section": "Prepare figures that make a clear point", + "text": "Prepare figures that make a clear point\n\n\n\n\n\n \n\n\n\n\nAmerican and Delta have the shortest delays" }, { - "objectID": "slides/aesthetic-mappings.html#the-geom-determines-how-the-data-is-shown-3", - "href": "slides/aesthetic-mappings.html#the-geom-determines-how-the-data-is-shown-3", - "title": "Aesthetic mappings", - "section": "The geom determines how the data is shown", - "text": "The geom determines how the data is shown\n\nggplot(temperatures, aes(month, temperature, fill = location)) + \n geom_violin() + \n facet_wrap(~location) # make separate panel per location" + "objectID": "slides/telling-a-story.html#make-your-figures-memorable", + "href": "slides/telling-a-story.html#make-your-figures-memorable", + "title": "Telling a story", + "section": "Make your figures memorable", + "text": "Make your figures memorable" }, { - "objectID": "slides/aesthetic-mappings.html#distinguish-between-color-and-fill", - "href": "slides/aesthetic-mappings.html#distinguish-between-color-and-fill", + "objectID": "slides/telling-a-story.html#make-your-figures-memorable-1", + "href": "slides/telling-a-story.html#make-your-figures-memorable-1", + "title": "Telling a story", + "section": "Make your figures memorable", + "text": "Make your figures memorable" + }, + { + "objectID": "slides/telling-a-story.html#further-reading", + "href": "slides/telling-a-story.html#further-reading", + "title": "Telling a story", + "section": "Further reading", + "text": "Further reading\n\n\nFundamentals of Data Visualization: Chapter 29: Telling a story and making a point\nJoshua Schimel (2011) Writing Science: How to Write Papers That Get Cited and Proposals That Get Funded" + }, + { + "objectID": "worksheets/aesthetic-mappings.html", + "href": "worksheets/aesthetic-mappings.html", "title": "Aesthetic mappings", - "section": "Distinguish between color and fill", - "text": "Distinguish between color and fill\n\n\ncolor Applies color to points, lines, text, borders\n\n\n\nfill Applies color to any filled areas" + "section": "", + "text": "In this worksheet, we will discuss a core concept of ggplot, the mapping of data values onto aesthetics.\nFirst we need to load the required R packages. Please wait a moment until the live R session is fully set up and all packages are loaded.\n\n\n\n\n\n\n\n\nNext we set up the data.\n\n\n\n\n\n\n\n\nWe will first work with the dataset temps_houston which contains the average temperature for each day of the year for Houston, TX." }, { - "objectID": "slides/aesthetic-mappings.html#many-geoms-use-both-color-and-fill", - "href": "slides/aesthetic-mappings.html#many-geoms-use-both-color-and-fill", + "objectID": "worksheets/aesthetic-mappings.html#introduction", + "href": "worksheets/aesthetic-mappings.html#introduction", "title": "Aesthetic mappings", - "section": "Many geoms use both color and fill", - "text": "Many geoms use both color and fill\n\nggplot(temperatures, aes(month, temperature, color = location)) + \n geom_boxplot()" + "section": "", + "text": "In this worksheet, we will discuss a core concept of ggplot, the mapping of data values onto aesthetics.\nFirst we need to load the required R packages. Please wait a moment until the live R session is fully set up and all packages are loaded.\n\n\n\n\n\n\n\n\nNext we set up the data.\n\n\n\n\n\n\n\n\nWe will first work with the dataset temps_houston which contains the average temperature for each day of the year for Houston, TX." }, { - "objectID": "slides/aesthetic-mappings.html#many-geoms-use-both-color-and-fill-1", - "href": "slides/aesthetic-mappings.html#many-geoms-use-both-color-and-fill-1", + "objectID": "worksheets/aesthetic-mappings.html#basic-use-of-ggplot", + "href": "worksheets/aesthetic-mappings.html#basic-use-of-ggplot", "title": "Aesthetic mappings", - "section": "Many geoms use both color and fill", - "text": "Many geoms use both color and fill\n\nggplot(temperatures, aes(month, temperature, fill = location)) + \n geom_boxplot()" + "section": "Basic use of ggplot", + "text": "Basic use of ggplot\nIn the most basic use of ggplot, we call the ggplot() function with a dataset and an aesthetic mapping (created with aes()), and then we add a geom, such as geom_line() to draw lines or geom_point() to draw points.\nTry this for yourself. Map the column day_of_year onto the x axis and the column temperature onto the y axis, and use geom_line() to display the data.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temps_houston, aes(x = day_of_year, y = temperature)) +\n geom_line()\n\n\n\n\nTry again. Now use geom_point() instead of geom_line().\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temps_houston, aes(x = day_of_year, y = temperature)) +\n geom_point()\n\n\n\n\nAnd now swap which column you map to x and which to y.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temps_houston, aes(x = temperature, y = day_of_year)) +\n geom_point()" }, { - "objectID": "slides/aesthetic-mappings.html#many-geoms-use-both-color-and-fill-2", - "href": "slides/aesthetic-mappings.html#many-geoms-use-both-color-and-fill-2", + "objectID": "worksheets/aesthetic-mappings.html#more-complex-geoms", + "href": "worksheets/aesthetic-mappings.html#more-complex-geoms", "title": "Aesthetic mappings", - "section": "Many geoms use both color and fill", - "text": "Many geoms use both color and fill\n\nggplot(temperatures, aes(month, temperature, color = location, fill = location)) + \n geom_boxplot()" + "section": "More complex geoms", + "text": "More complex geoms\nYou can use other geoms to make different types of plots. For example, geom_boxplot() will make boxplots. For boxplots, we frequently want categorical data on the x or y axis. For example, we might want a separate boxplot for each month. Try this out. Puth month on the x axis, temperature on the y axis, and use geom_boxplot().\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temps_houston, aes(x = month, y = temperature)) +\n ___()\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temps_houston, aes(x = month, y = temperature)) +\n geom_boxplot()\n\n\n\n\nNow put the month on the y axis and the temperature on the x axis.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temps_houston, aes(x = ___, y = ___)) +\n geom_boxplot()\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temps_houston, aes(x = temperature, y = month)) +\n geom_boxplot()" }, { - "objectID": "slides/aesthetic-mappings.html#aesthetics-can-also-be-used-as-parameters", - "href": "slides/aesthetic-mappings.html#aesthetics-can-also-be-used-as-parameters", + "objectID": "worksheets/aesthetic-mappings.html#adding-color", + "href": "worksheets/aesthetic-mappings.html#adding-color", "title": "Aesthetic mappings", - "section": "Aesthetics can also be used as parameters", - "text": "Aesthetics can also be used as parameters\n\nggplot(temperatures, aes(month, temperature, fill = location)) + \n geom_boxplot(color = \"steelblue\")" + "section": "Adding color", + "text": "Adding color\nNext we will be working with the dataset temperatures, which is similar to temps_houston but contains data for three more locations.\n\n\n\n\n\n\n\n\nMake a line plot of temperature against day_of_year, using the color aesthetic to color the lines by location.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temperatures, aes(x = day_of_year, y = temperature, color = ___)) +\n geom_line()\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temperatures, aes(x = day_of_year, y = temperature, color = location)) +\n geom_line()\n\n\n\n\nTry again, this time using location as the location along the y axis and temperature for the color. This plot looks better with geom_point() than geom_line(). (Try it out to see why. Also, try geom_point(size = 5) to create larger points.)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temperatures, aes(x = ___, y = ___, color = ___)) +\n geom_point()\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temperatures, aes(x = day_of_year, y = location, color = temperature)) +\n geom_point()" }, { - "objectID": "slides/aesthetic-mappings.html#aesthetics-can-also-be-used-as-parameters-1", - "href": "slides/aesthetic-mappings.html#aesthetics-can-also-be-used-as-parameters-1", + "objectID": "worksheets/aesthetic-mappings.html#using-the-fill-aesthetic", + "href": "worksheets/aesthetic-mappings.html#using-the-fill-aesthetic", "title": "Aesthetic mappings", - "section": "Aesthetics can also be used as parameters", - "text": "Aesthetics can also be used as parameters\n\nggplot(temperatures, aes(month, temperature, color = location)) + \n geom_boxplot(fill = \"steelblue\")" + "section": "Using the fill aesthetic", + "text": "Using the fill aesthetic\nSome geoms use a fill aesthetic, which is similar to color but applies to shaded areas. (color applies to lines and points.) For example, we can use the fill aesthetic with geom_boxplot() to color the interior of the box. Try this yourself. Plot month on x, temperature on y, and color the interior of the box by location.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temperatures, aes(x = month, y = ___, fill = ___)) +\n geom_boxplot()\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temperatures, aes(x = month, y = temperature, fill = location)) +\n geom_boxplot()\n\n\n\n\nCan you color the lines of the boxplot by location and the interior by month? Try it.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temperatures, aes(x = month, y = temperature, color = ___, fill = ___)) +\n geom_boxplot()\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temperatures, aes(x = month, y = temperature, color = location, fill = month)) +\n geom_boxplot()" }, { - "objectID": "slides/aesthetic-mappings.html#further-reading", - "href": "slides/aesthetic-mappings.html#further-reading", + "objectID": "worksheets/aesthetic-mappings.html#using-aesthetics-as-parameters", + "href": "worksheets/aesthetic-mappings.html#using-aesthetics-as-parameters", "title": "Aesthetic mappings", - "section": "Further reading", - "text": "Further reading\n\n\nFundamentals of Data Visualization: Chapter 2: Visualizing data\nData Visualization—A Practical Introduction: Chapter 3: Make a plot\nggplot2 reference documentation\nggplot2 book\nggplot2 cheatsheet" + "section": "Using aesthetics as parameters", + "text": "Using aesthetics as parameters\nMany of the aesthetics (such as color, fill, and also size to change line size or point thickness) can be used as parameters inside a geom rather than inside an aes() statement. The difference is that when you use an aesthetic as a parameter, you specify a specific value, such as color = \"blue\", rather than a mapping, such as aes(color = location). Notice the difference: Inside the aes() function, we don’t actually specify the specific color values, ggplot does that for us. We only say that we want the data values of the location column to correspond to different colors. (We will learn later how to tell ggplot to use specific colors in this mapping.)\nTry this with the boxplot example from the previous section. Map location onto the fill aesthetic but set the color of the lines to \"navyblue\".\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temperatures, aes(x = month, y = temperature, fill = ___)) +\n geom_boxplot(color = ___)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temperatures, aes(x = month, y = temperature, fill = location)) +\n geom_boxplot(color = \"navyblue\")\n\n\n\n\nNow do the reverse. Map location onto the line colors but fill the box with the color \"navyblue\".\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temperatures, aes(x = month, y = temperature, color = ___)) +\n geom_boxplot(fill = ___)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temperatures, aes(x = month, y = temperature, color = location)) +\n geom_boxplot(fill = \"navyblue\")" + }, + { + "objectID": "worksheets/coordinate-systems-axes.html", + "href": "worksheets/coordinate-systems-axes.html", + "title": "Coordinate systems and axes", + "section": "", + "text": "In this worksheet, we will discuss how to change and customize scales and coordinate systems.\nFirst we need to load the required R packages. Please wait a moment until the live R session is fully set up and all packages are loaded.\n\n\n\n\n\n\n\n\nNext we set up the data.\n\n\n\n\n\n\n\n\nWe will be working with three different datasets, boxoffice, temperatures, and tx_counties. You have already seen the first two previously.\nThe boxoffice dataset contains box-office gross results for Dec. 22-24, 2017.\n\n\n\n\n\n\n\n\nThe temperatures dataset contains the average temperature for each day of the year for four different locations.\n\n\n\n\n\n\n\n\nThe tx_counties dataset holds information about how many people lived in Texas counties in 2010. The column popratio is the ratio of the number of inhabitants to the median across all counties, and the column index simply counts the counties from most populous to least populous." + }, + { + "objectID": "worksheets/coordinate-systems-axes.html#introduction", + "href": "worksheets/coordinate-systems-axes.html#introduction", + "title": "Coordinate systems and axes", + "section": "", + "text": "In this worksheet, we will discuss how to change and customize scales and coordinate systems.\nFirst we need to load the required R packages. Please wait a moment until the live R session is fully set up and all packages are loaded.\n\n\n\n\n\n\n\n\nNext we set up the data.\n\n\n\n\n\n\n\n\nWe will be working with three different datasets, boxoffice, temperatures, and tx_counties. You have already seen the first two previously.\nThe boxoffice dataset contains box-office gross results for Dec. 22-24, 2017.\n\n\n\n\n\n\n\n\nThe temperatures dataset contains the average temperature for each day of the year for four different locations.\n\n\n\n\n\n\n\n\nThe tx_counties dataset holds information about how many people lived in Texas counties in 2010. The column popratio is the ratio of the number of inhabitants to the median across all counties, and the column index simply counts the counties from most populous to least populous." + }, + { + "objectID": "worksheets/coordinate-systems-axes.html#scale-customizations", + "href": "worksheets/coordinate-systems-axes.html#scale-customizations", + "title": "Coordinate systems and axes", + "section": "Scale customizations", + "text": "Scale customizations\nWe can modify the appearance of the x and y axis with scale functions. All scale functions have name of the form scale_aesthetic_type(), where aesthetic stands for an aesthetic to which we’re mapping data (e.g., x, y, color, fill, etc), and type stands for the specific type of the scale. What scale types are available depends on both the aesthetic and the data.\nHere, we only consider position scales, which are scales for the x and y aesthetics. The most commonly used scales types for position scales are continuous for continuous data and discrete for discrete data, yielding the scale functions scale_x_continuous(), scale_y_continuous(), scale_x_discrete(), and scale_y_discrete(). But there are others, such as date, time, or binned. You can look them up here: https://ggplot2.tidyverse.org/reference/index.html#section-scales\nPosition scale functions are used to modify both the appearance of the axis (axis title, axis labels, number and location of breaks, etc.) and the mapping from data to position (including the range of data values considered, i.e., axis limits, and whether the data should be transformed, as is the case in log scales).\nLet’s start with this plot of the boxoffice data:\n\n\n\n\n\n\n\n\nWe can use scale functions to modify the axis titles, by setting the name argument. For example, scale_x_continuous(name = \"the x value\") would set the axis title to “the x value” in a continuous scale along the x axis.\nUse the appropriate scale functions to modify both axis titles in the above plot. Think about which axes (if any) are continuous and which are discrete.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n scale_x_continuous(___) +\n scale_y_discrete(___)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n scale_x_continuous(name = \"weekend gross (million USD)\") +\n scale_y_discrete(name = NULL)\n\n\n\n\nWe can also use scale functions to set axis limits, via the limits argument. For continuous scales, the limits argument takes a vector of two numbers representing the lower and upper limit. For example, limits = c(0, 80) would indicate an axis that runs from 0 to 80. For discrete scales, the limits argument takes a vector of all the categories that should be shown, in the order in which they should be shown.\nTry this out by setting a limit from 0 to 80 on the x axis.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n scale_x_continuous(\n name = \"weekend gross (million USD)\",\n limits = ___\n ) +\n scale_y_discrete(name = NULL)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n scale_x_continuous(\n name = \"weekend gross (million USD)\",\n limits = c(0, 80)\n ) +\n scale_y_discrete(name = NULL)\n\n\n\n\nWhat happens if you set the axis limits such that not all data points can be shown, for example an upper limit of 65 rather than 80? Do you understand why?\n(Hint: Scale limits are applied before the plot is drawn, and data points outside the scale limits are discarded. If this is not what you want, there’s an alternative way of setting limits. See the very end of this worksheet under “Coords”.)\nNext, we can use the breaks and labels arguments to customize which axis ticks are shown and how they are labeled. In general, you need exactly as many breaks as labels. If you define only breaks but not labels then labels are automatically generated from the breaks.\nBuilding on the code from the previous example, set breaks at 0, 25, 50, and 75, and format the labels such that they can be read as currency. For example, write $25M instead of just 25.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n scale_x_continuous(\n name = \"weekend gross\",\n limits = c(0, 80),\n breaks = ___,\n labels = ___\n ) +\n scale_y_discrete(name = NULL)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n scale_x_continuous(\n name = \"weekend gross\",\n limits = c(0, 80),\n breaks = c(0, 25, 50, 75),\n labels = c(\"0\", \"$25M\", \"$50M\", \"$75M\")\n ) +\n scale_y_discrete(name = NULL)\n\n\n\n\nWhen looking at the resulting plot, you may notice that the x axis extends beyond the limits you have set. This happens because by default ggplot scales expand the axis range by a small amount. You can set the axis expansion via the expand parameter. Setting the expansion can be a bit tricky, because we can set expansion at either end of a scale and we can define both additive and multiplicative expansion. (Additive expansion adds a fixed value, whereas multiplicative expansion adds a multiple of the scale range. ggplot uses additive expansion for discrete scales and multiplicative expansion for continuous scales, but you can use either for either scale.)\nThe simplest way to define expansions is with the expansion() function, which takes arguments mult for multiplicative expansion and add for additive expansion. Either takes a vector of two values, indicating expansion at the lower and upper end, respectively. Thus, expansion(mult = c(0, 0.1)) indicates multiplicative expansion of 0% at the lower end and 10% at the upper end, whereas expansion(add = c(2, 2)) indicates additive expansion of 2 units at either end of the scale.\nTry this yourself. Use the expand argument to remove the gap to the left of 0 on the x axis.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n scale_x_continuous(\n name = \"weekend gross\",\n limits = c(0, 80),\n breaks = c(0, 25, 50, 75),\n labels = c(\"0\", \"$25M\", \"$50M\", \"$75M\"),\n expand = expansion(___)\n ) +\n scale_y_discrete(name = NULL)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n scale_x_continuous(\n name = \"weekend gross\",\n limits = c(0, 80),\n breaks = c(0, 25, 50, 75),\n labels = c(\"0\", \"$25M\", \"$50M\", \"$75M\"),\n expand = expansion(mult = c(0, 0.06))\n ) +\n scale_y_discrete(name = NULL)\n\n\n\n\nTry different settings for the expand argument. Try both multiplicative and additive expansions. Apply different expansions to the y axis as well." + }, + { + "objectID": "worksheets/coordinate-systems-axes.html#logarithmic-scales", + "href": "worksheets/coordinate-systems-axes.html#logarithmic-scales", + "title": "Coordinate systems and axes", + "section": "Logarithmic scales", + "text": "Logarithmic scales\nScales can also transform the data before plotting. For example, log scales such as scale_x_log10() and scale_y_log10() log-transform the data. To try this out, we’ll be working with the tx_counties dataset:\n\n\n\n\n\n\n\n\nModify this plot so the y axis uses a log scale.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(tx_counties) +\n aes(x = index, y = popratio) +\n geom_point() +\n scale_y_log10()\n\n\n\n\nNow customize the log scale by setting name, limits, breaks, and labels. These work exactly as they did in scale_x_continuous().\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(tx_counties) +\n aes(x = index, y = popratio) +\n geom_point() +\n scale_y_log10(\n name = ___,\n limits = ___,\n breaks = ___,\n labels = ___\n )\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(tx_counties) +\n aes(x = index, y = popratio) +\n geom_point() +\n scale_y_log10(\n name = \"population number / median\",\n limits = c(0.003, 300),\n breaks = c(0.01, 1, 100),\n labels = c(\"0.01\", \"1\", \"100\")\n )" + }, + { + "objectID": "worksheets/coordinate-systems-axes.html#coords", + "href": "worksheets/coordinate-systems-axes.html#coords", + "title": "Coordinate systems and axes", + "section": "Coords", + "text": "Coords\nWhile scales determine how data values are mapped and represented along one dimension, e.g. the x or the y axis, coordinate systems define how these dimensions are projected onto the 2d plot surface. The default coordinate system is the Cartesian coordinate system, which uses orthogonal x and y axes. In the following example, I have added the coord explicitly, but this is not normally necessary.\n\n\n\n\n\n\n\n\nWe can however add a different coord, for example coord_polar() to use a polar coordinate system. Try this out.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temperatures, aes(day_of_year, temperature, color = location)) +\n geom_line() +\n coord_polar()\n\n\n\n\nIn the polar coordinate system, the y axis (here, temperature) is mapped onto the radius, and the x axis (here, day of year) is mapped onto the angle. You can use scale_x_continuous() and scale_y_continuous() to modify the radial and angular axes. For example, you may want to change the temperature limits from 0 to 105 so the temperature curve for Chicago doesn’t hit the exact center of the plot. Try this out.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temperatures, aes(day_of_year, temperature, color = location)) +\n geom_line() +\n coord_polar() +\n scale_y_continuous(limits = ___)\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temperatures, aes(day_of_year, temperature, color = location)) +\n geom_line() +\n coord_polar() +\n scale_y_continuous(limits = c(0, 105))\n\n\n\n\nThere are other useful coords. For example, coord_fixed() is a Cartesian coordinate system with fixed aspect ratio. This is useful when we plot variables along the x and y axes that are measured in the same units. In this case, we want the two axes to be coordinated, such that one step along x has the same meaning as one step along y.\nTo demonstrate this, we reshape the temperatures dataset into wide format, and then plot temperatures in San Diego versus temperatures in Houston.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n(A side remark: Do you know why we write `San Diego` and not \"San Diego\" or 'San Diego' inside the aes() function? If you don’t, see if you can find out.)\nThe units along both the x and the y axis are temperatures, but a 10 degree difference in Houston is shown as a shorter distance than a 10 degree difference in San Diego. To address this problem, add coord_fixed() to the above plot.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temps_wide, aes(`San Diego`, Houston)) +\n geom_point() +\n coord_fixed()\n\n\n\n\nThis plot is technically correct but it doesn’t look good, because breaks are spaced differently along the two axes. Also, the plot looks strangely narrow and tall. We can fix both issues by manually setting breaks and limits for both axes. Try this out.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(temps_wide, aes(`San Diego`, Houston)) +\n geom_point() +\n coord_fixed() +\n scale_x_continuous(\n limits = ___,\n breaks = ___\n ) +\n scale_y_continuous(\n limits = ___,\n breaks = ___\n )\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(temps_wide, aes(`San Diego`, Houston)) +\n geom_point() +\n coord_fixed() +\n scale_x_continuous(\n limits = c(45, 85),\n breaks = c(40, 50, 60, 70, 80)\n ) +\n scale_y_continuous(\n limits = c(48, 88),\n breaks = c(50, 60, 70, 80)\n )\n\n\n\n\nFinally, as the last example of what can be done with coords, we go back to the problem of setting limits on the box-office bar plot. Instead of setting limits with scale functions, we can also set them via the arguments xlim and ylim inside the coord, for example here coord_cartesian(). (This would be a good reason to explicity add coord_cartesian() to a plot.) When we set limits in the coord ggplot does not discard any data points. Instead it simply zooms in or out according to the limits set. Try this out by setting the x limits from 10 to 65 in the box-office plot.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nHint\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n coord_cartesian(\n xlim = ___\n )\n\n\n\n\n\n\n\n\n\n\n\nSolution\n\n\n\n\n\nggplot(boxoffice) +\n aes(amount, fct_reorder(title, amount)) +\n geom_col() +\n coord_cartesian(\n xlim = c(10, 65)\n )\n\n\n\n\nNote: It is normally not a good idea to start a bar plot at a value other than 0. 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The plugin provides two possibilities to include handwritten notes to your presentation: + +- you can make notes directly on the slides, e.g. to comment on certain aspects, +- you can open a chalkboard or whiteboard on which you can make notes. + +The main use case in mind when implementing the plugin is classroom usage in which you may want to explain some course content and quickly need to make some notes. + +The plugin records all drawings made so that they can be play backed using the `autoSlide` feature or the `audio-slideshow` plugin. + +[Check out the live demo](https://rajgoel.github.io/reveal.js-demos/chalkboard-demo.html) + +The chalkboard effect is based on [Chalkboard](https://github.com/mmoustafa/Chalkboard) by Mohamed Moustafa. + +## Installation + +Copy the file `plugin.js` and the `img` directory into the plugin folder of your reveal.js presentation, i.e. `plugin/chalkboard` and load the plugin as shown below. + +```html + + + + +``` + +The following stylesheet +```html + + +``` +has to be included to the `head` section of you HTML-file. + + +In order to include buttons for opening and closing the notes canvas or the chalkboard you should make sure that `font-awesome` is available. The easiest way is to include +``` + +``` +to the ```head``` section of you HTML-file. + +## Usage + +### Mouse or touch +- Click on the pen symbols at the bottom left to toggle the notes canvas or chalkboard +- Click on the color picker at the left to change the color (the color picker is only visible if the notes canvas or chalkboard is active) +- Click on the up/down arrows on the left to the switch among multiple chalkboardd (the up/down arrows are only available for the chlakboard) +- Click the left mouse button and drag to write on notes canvas or chalkboard +- Click the right mouse button and drag to wipe away previous drawings +- Touch and move to write on notes canvas or chalkboard +- Touch and hold for half a second, then move to wipe away previous drawings + +### Keyboard +- Press the 'BACKSPACE' key to delete all chalkboard drawings +- Press the 'DEL' key to clear the notes canvas or chalkboard +- Press the 'c' key to toggle the notes canvas +- Press the 'b' key to toggle the chalkboard +- Press the 'd' key to download drawings +- Press the 'x' key to cycle colors forward +- Press the 'y' key to cycle colors backward + +## Playback + +If the `autoSlide` feature is set or if the `audio-slideshow` plugin is used, pre-recorded chalkboard drawings can be played. The slideshow plays back the user interaction with the chalkboard in the same way as it was conducted when recording the data. + +## Multiplexing + +The plugin supports multiplexing via the [`multiplex` plugin](https://github.com/reveal/multiplex) or the [`seminar` plugin](https://github.com/rajgoel/reveal.js-plugins/tree/master/seminar). + +## PDF-Export + +If the slideshow is opened in [print mode](https://revealjs.com/pdf-export/), the chalkboard drawings in the session storage (see `storage` option - print version must be opened in the same tab or window as the original slideshow) or provided in a file (see `src` option) are included in the PDF-file. Each drawing on the chalkboard is added after the slide that was shown when opening the chalkboard. Drawings on the notes canvas are not included in the PDF-file. + + +## Configuration + +The plugin has several configuration options: + +- ```boardmarkerWidth```: an integer, the drawing width of the boardmarker; larger values draw thicker lines. +- ```chalkWidth```: an integer, the drawing width of the chalk; larger values draw thicker lines. +- ```chalkEffect```: a float in the range ```[0.0, 1.0]```, the intesity of the chalk effect on the chalk board. Full effect (default) ```1.0```, no effect ```0.0```. +- ```storage```: Optional variable name for session storage of drawings. +- ```src```: Optional filename for pre-recorded drawings. +- ```readOnly```: Configuation option allowing to prevent changes to existing drawings. If set to ```true``` no changes can be made, if set to false ```false``` changes can be made, if unset or set to ```undefined``` no changes to the drawings can be made after returning to a slide or fragment for which drawings had been recorded before. In any case the recorded drawings for a slide or fragment can be cleared by pressing the 'DEL' key (i.e. by using the ```RevealChalkboard.clear()``` function). +- ```transition```: Gives the duration (in milliseconds) of the transition for a slide change, so that the notes canvas is drawn after the transition is completed. +- ```theme```: Can be set to either ```"chalkboard"``` or ```"whiteboard"```. + +The following configuration options allow to change the appearance of the notes canvas and the chalkboard. All of these options require two values, the first gives the value for the notes canvas, the second for the chalkboard. + +- ```background```: The first value expects a (semi-)transparent color which is used to provide visual feedback that the notes canvas is enabled, the second value expects a filename to a background image for the chalkboard. +- ```grid```: By default whiteboard and chalkboard themes include a grid pattern on the background. This pattern can be modified by setting the color, the distance between lines, and the line width, e.g. ```{ color: 'rgb(127,127,255,0.1)', distance: 40, width: 2}```. Alternatively, the grid can be removed by setting the value to ```false```. +- ```eraser```: An image path and radius for the eraser. +- ```boardmarkers```: A list of boardmarkers with given color and cursor. +- ```chalks```: A list of chalks with given color and cursor. +- ```rememberColor```: Whether to remember the last selected color for the slide canvas or the board. + +All of the configurations are optional and the default values shown below are used if the options are not provided. + +```javascript +Reveal.initialize({ + // ... + chalkboard: { + boardmarkerWidth: 3, + chalkWidth: 7, + chalkEffect: 1.0, + storage: null, + src: null, + readOnly: undefined, + transition: 800, + theme: "chalkboard", + background: [ 'rgba(127,127,127,.1)' , path + 'img/blackboard.png' ], + grid: { color: 'rgb(50,50,10,0.5)', distance: 80, width: 2}, + eraser: { src: path + 'img/sponge.png', radius: 20}, + boardmarkers : [ + { color: 'rgba(100,100,100,1)', cursor: 'url(' + path + 'img/boardmarker-black.png), auto'}, + { color: 'rgba(30,144,255, 1)', cursor: 'url(' + path + 'img/boardmarker-blue.png), auto'}, + { color: 'rgba(220,20,60,1)', cursor: 'url(' + path + 'img/boardmarker-red.png), auto'}, + { color: 'rgba(50,205,50,1)', cursor: 'url(' + path + 'img/boardmarker-green.png), auto'}, + { color: 'rgba(255,140,0,1)', cursor: 'url(' + path + 'img/boardmarker-orange.png), auto'}, + { color: 'rgba(150,0,20150,1)', cursor: 'url(' + path + 'img/boardmarker-purple.png), auto'}, + { color: 'rgba(255,220,0,1)', cursor: 'url(' + path + 'img/boardmarker-yellow.png), auto'} + ], + chalks: [ + { color: 'rgba(255,255,255,0.5)', cursor: 'url(' + path + 'img/chalk-white.png), auto'}, + { color: 'rgba(96, 154, 244, 0.5)', cursor: 'url(' + path + 'img/chalk-blue.png), auto'}, + { color: 'rgba(237, 20, 28, 0.5)', cursor: 'url(' + path + 'img/chalk-red.png), auto'}, + { color: 'rgba(20, 237, 28, 0.5)', cursor: 'url(' + path + 'img/chalk-green.png), auto'}, + { color: 'rgba(220, 133, 41, 0.5)', cursor: 'url(' + path + 'img/chalk-orange.png), auto'}, + { color: 'rgba(220,0,220,0.5)', cursor: 'url(' + path + 'img/chalk-purple.png), auto'}, + { color: 'rgba(255,220,0,0.5)', cursor: 'url(' + path + 'img/chalk-yellow.png), auto'} + ] + }, + customcontrols: { + controls: [ + { icon: '', + title: 'Toggle chalkboard (B)', + action: 'RevealChalkboard.toggleChalkboard();' + }, + { icon: '', + title: 'Toggle notes canvas (C)', + action: 'RevealChalkboard.toggleNotesCanvas();' + } + ] + }, + // ... + +}); +``` + + +## License + +MIT licensed + +Copyright (C) 2021 Asvin Goel diff --git a/_site/site_libs/revealjs/plugin/reveal-chalkboard/font-awesome/LICENSE.txt b/_site/site_libs/revealjs/plugin/reveal-chalkboard/font-awesome/LICENSE.txt new file mode 100644 index 0000000..28c1c4b --- /dev/null +++ b/_site/site_libs/revealjs/plugin/reveal-chalkboard/font-awesome/LICENSE.txt @@ -0,0 +1,34 @@ +Font Awesome Free License +------------------------- + +Font Awesome Free is free, open source, and GPL friendly. You can use it for +commercial projects, open source projects, or really almost whatever you want. +Full Font Awesome Free license: https://fontawesome.com/license. + +# Icons: CC BY 4.0 License (https://creativecommons.org/licenses/by/4.0/) +In the Font Awesome Free download, the CC BY 4.0 license applies to all icons +packaged as SVG and JS file types. + +# Fonts: SIL OFL 1.1 License (https://scripts.sil.org/OFL) +In the Font Awesome Free download, the SIL OLF license applies to all icons +packaged as web and desktop font files. + +# Code: MIT License (https://opensource.org/licenses/MIT) +In the Font Awesome Free download, the MIT license applies to all non-font and +non-icon files. + +# Attribution +Attribution is required by MIT, SIL OLF, and CC BY licenses. Downloaded Font +Awesome Free files already contain embedded comments with sufficient +attribution, so you shouldn't need to do anything additional when using these +files normally. + +We've kept attribution comments terse, so we ask that you do not actively work +to remove them from files, especially code. They're a great way for folks to +learn about Font Awesome. + +# Brand Icons +All brand icons are trademarks of their respective owners. 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Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-css3 { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-ticket:before { + content: "\f3ff"; } + +.fa.fa-minus-square-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-minus-square-o:before { + content: "\f146"; } + +.fa.fa-level-up:before { + content: "\f3bf"; } + +.fa.fa-level-down:before { + content: "\f3be"; } + +.fa.fa-pencil-square:before { + content: "\f14b"; } + +.fa.fa-external-link-square:before { + content: "\f360"; } + +.fa.fa-compass { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-caret-square-o-down { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-caret-square-o-down:before { + content: "\f150"; } + +.fa.fa-toggle-down { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-toggle-down:before { + content: "\f150"; } + +.fa.fa-caret-square-o-up { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + 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+.fa.fa-rub:before { + content: "\f158"; } + +.fa.fa-ruble:before { + content: "\f158"; } + +.fa.fa-rouble:before { + content: "\f158"; } + +.fa.fa-krw:before { + content: "\f159"; } + +.fa.fa-won:before { + content: "\f159"; } + +.fa.fa-btc { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-bitcoin { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-bitcoin:before { + content: "\f15a"; } + +.fa.fa-file-text:before { + content: "\f15c"; } + +.fa.fa-sort-alpha-asc:before { + content: "\f15d"; } + +.fa.fa-sort-alpha-desc:before { + content: "\f15e"; } + +.fa.fa-sort-amount-asc:before { + content: "\f160"; } + +.fa.fa-sort-amount-desc:before { + content: "\f161"; } + +.fa.fa-sort-numeric-asc:before { + content: "\f162"; } + +.fa.fa-sort-numeric-desc:before { + content: "\f163"; } + +.fa.fa-youtube-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-youtube { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-xing { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-xing-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-youtube-play { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-youtube-play:before { + content: "\f167"; } + +.fa.fa-dropbox { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-stack-overflow { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-instagram { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-flickr { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-adn { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-bitbucket { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-bitbucket-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-bitbucket-square:before { + content: "\f171"; } + +.fa.fa-tumblr { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-tumblr-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-long-arrow-down:before { + content: "\f309"; } + +.fa.fa-long-arrow-up:before { + content: "\f30c"; } + +.fa.fa-long-arrow-left:before { + content: "\f30a"; } + +.fa.fa-long-arrow-right:before { + content: "\f30b"; } + +.fa.fa-apple { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-windows { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-android { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-linux { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-dribbble { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-skype { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-foursquare { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-trello { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-gratipay { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-gittip { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-gittip:before { + content: "\f184"; } + +.fa.fa-sun-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-sun-o:before { + content: "\f185"; } + +.fa.fa-moon-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-moon-o:before { + content: "\f186"; } + +.fa.fa-vk { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-weibo { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-renren { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-pagelines { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-stack-exchange { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-arrow-circle-o-right { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-arrow-circle-o-right:before { + content: "\f35a"; } + +.fa.fa-arrow-circle-o-left { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-arrow-circle-o-left:before { + content: "\f359"; } + +.fa.fa-caret-square-o-left { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-caret-square-o-left:before { + content: "\f191"; } + +.fa.fa-toggle-left { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-toggle-left:before { + content: "\f191"; } + +.fa.fa-dot-circle-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-dot-circle-o:before { + content: "\f192"; } + +.fa.fa-vimeo-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-try:before { + content: "\f195"; } + +.fa.fa-turkish-lira:before { + content: "\f195"; } + +.fa.fa-plus-square-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-plus-square-o:before { + content: "\f0fe"; } + +.fa.fa-slack { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-wordpress { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-openid { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-institution:before { + content: "\f19c"; } + +.fa.fa-bank:before { + content: "\f19c"; } + +.fa.fa-mortar-board:before { + content: "\f19d"; } + +.fa.fa-yahoo { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-google { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-reddit { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-reddit-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-stumbleupon-circle { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-stumbleupon { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-delicious { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-digg { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-pied-piper-pp { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-pied-piper-alt { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-drupal { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-joomla { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-spoon:before { + content: "\f2e5"; } + +.fa.fa-behance { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-behance-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-steam { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-steam-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-automobile:before { + content: "\f1b9"; } + +.fa.fa-cab:before { + content: "\f1ba"; } + +.fa.fa-envelope-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-envelope-o:before { + content: "\f0e0"; } + +.fa.fa-deviantart { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-soundcloud { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-file-pdf-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-pdf-o:before { + content: "\f1c1"; } + +.fa.fa-file-word-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-word-o:before { + content: "\f1c2"; } + +.fa.fa-file-excel-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-excel-o:before { + content: "\f1c3"; } + +.fa.fa-file-powerpoint-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-powerpoint-o:before { + content: "\f1c4"; } + +.fa.fa-file-image-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-image-o:before { + content: "\f1c5"; } + +.fa.fa-file-photo-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-photo-o:before { + content: "\f1c5"; } + +.fa.fa-file-picture-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-picture-o:before { + content: "\f1c5"; } + +.fa.fa-file-archive-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-archive-o:before { + content: "\f1c6"; } + +.fa.fa-file-zip-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-zip-o:before { + content: "\f1c6"; } + +.fa.fa-file-audio-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-audio-o:before { + content: "\f1c7"; } + +.fa.fa-file-sound-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-sound-o:before { + content: "\f1c7"; } + +.fa.fa-file-video-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-video-o:before { + content: "\f1c8"; } + +.fa.fa-file-movie-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-movie-o:before { + content: "\f1c8"; } + +.fa.fa-file-code-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-file-code-o:before { + content: "\f1c9"; } + +.fa.fa-vine { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-codepen { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-jsfiddle { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-life-ring { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-life-bouy { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-life-bouy:before { + content: "\f1cd"; } + +.fa.fa-life-buoy { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-life-buoy:before { + content: "\f1cd"; } + +.fa.fa-life-saver { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-life-saver:before { + content: "\f1cd"; } + +.fa.fa-support { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-support:before { + content: "\f1cd"; } + +.fa.fa-circle-o-notch:before { + content: "\f1ce"; } + +.fa.fa-rebel { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-ra { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-ra:before { + content: "\f1d0"; } + +.fa.fa-resistance { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-resistance:before { + content: "\f1d0"; } + +.fa.fa-empire { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-ge { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-ge:before { + content: "\f1d1"; } + +.fa.fa-git-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-git { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-hacker-news { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-y-combinator-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-y-combinator-square:before { + content: "\f1d4"; } + +.fa.fa-yc-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-yc-square:before { + content: "\f1d4"; } + +.fa.fa-tencent-weibo { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-qq { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-weixin { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-wechat { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-wechat:before { + content: "\f1d7"; } + +.fa.fa-send:before { + content: "\f1d8"; } + +.fa.fa-paper-plane-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-paper-plane-o:before { + content: "\f1d8"; } + +.fa.fa-send-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-send-o:before { + content: "\f1d8"; } + +.fa.fa-circle-thin { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-circle-thin:before { + content: "\f111"; } + +.fa.fa-header:before { + content: "\f1dc"; } + +.fa.fa-sliders:before { + content: "\f1de"; } + +.fa.fa-futbol-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-futbol-o:before { + content: "\f1e3"; } + +.fa.fa-soccer-ball-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-soccer-ball-o:before { + content: "\f1e3"; } + +.fa.fa-slideshare { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-twitch { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-yelp { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-newspaper-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-newspaper-o:before { + content: "\f1ea"; } + +.fa.fa-paypal { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-google-wallet { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-cc-visa { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-cc-mastercard { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-cc-discover { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-cc-amex { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-cc-paypal { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-cc-stripe { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-bell-slash-o { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-bell-slash-o:before { + content: "\f1f6"; } + +.fa.fa-trash:before { + content: "\f2ed"; } + +.fa.fa-copyright { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-eyedropper:before { + content: "\f1fb"; } + +.fa.fa-area-chart:before { + content: "\f1fe"; } + +.fa.fa-pie-chart:before { + content: "\f200"; } + +.fa.fa-line-chart:before { + content: "\f201"; } + +.fa.fa-lastfm { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-lastfm-square { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-ioxhost { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-angellist { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-cc { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-cc:before { + content: "\f20a"; } + +.fa.fa-ils:before { + content: "\f20b"; } + +.fa.fa-shekel:before { + content: "\f20b"; } + +.fa.fa-sheqel:before { + content: "\f20b"; } + +.fa.fa-meanpath { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-meanpath:before { + content: "\f2b4"; } + +.fa.fa-buysellads { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-connectdevelop { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-dashcube { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-forumbee { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-leanpub { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-sellsy { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-shirtsinbulk { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-simplybuilt { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-skyatlas { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-diamond { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + +.fa.fa-diamond:before { + content: "\f3a5"; } + +.fa.fa-intersex:before { + content: "\f224"; } + +.fa.fa-facebook-official { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-facebook-official:before { + content: "\f09a"; } + +.fa.fa-pinterest-p { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-whatsapp { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-hotel:before { + content: "\f236"; } + +.fa.fa-viacoin { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-medium { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-y-combinator { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-yc { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-yc:before { + content: "\f23b"; } + +.fa.fa-optin-monster { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-opencart { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-expeditedssl { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } + +.fa.fa-battery-4:before { + content: "\f240"; } + +.fa.fa-battery:before { + content: "\f240"; } + +.fa.fa-battery-3:before { + content: "\f241"; } + +.fa.fa-battery-2:before { + content: "\f242"; } + +.fa.fa-battery-1:before { + content: "\f243"; } + +.fa.fa-battery-0:before { + content: "\f244"; } + +.fa.fa-object-group { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; } + 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a/_site/site_libs/revealjs/plugin/reveal-chalkboard/plugin.js b/_site/site_libs/revealjs/plugin/reveal-chalkboard/plugin.js new file mode 100644 index 0000000..23edd1e --- /dev/null +++ b/_site/site_libs/revealjs/plugin/reveal-chalkboard/plugin.js @@ -0,0 +1,1985 @@ +/***************************************************************** + ** Author: Asvin Goel, goel@telematique.eu + ** + ** A plugin for reveal.js adding a chalkboard. + ** + ** Version: 2.1.0 + ** + ** License: MIT license (see LICENSE.md) + ** + ** Credits: + ** Chalkboard effect by Mohamed Moustafa https://github.com/mmoustafa/Chalkboard + ** Multi color support initially added by Kurt Rinnert https://github.com/rinnert + ** Compatibility with reveal.js v4 by Hakim El Hattab https://github.com/hakimel + ******************************************************************/ + +window.RevealChalkboard = window.RevealChalkboard || { + id: 'RevealChalkboard', + init: function ( deck ) { + initChalkboard( deck ); + }, + configure: function ( config ) { + configure( config ); + }, + toggleNotesCanvas: function () { + toggleNotesCanvas(); + }, + toggleChalkboard: function () { + toggleChalkboard(); + }, + colorIndex: function () { + colorIndex(); + }, + colorNext: function () { + colorNext(); + }, + colorPrev: function () { + colorPrev(); + }, + clear: function () { + clear(); + }, + reset: function () { + reset(); + }, + resetAll: function () { + resetAll(); + }, + updateStorage: function () { + updateStorage(); + }, + getData: function () { + return getData(); + }, + download: function () { + download(); + }, +}; + +function scriptPath() { + // obtain plugin path from the script element + var src; + if ( document.currentScript ) { + src = document.currentScript.src; + } else { + var sel = document.querySelector( 'script[src$="/chalkboard/plugin.js"]' ) + if ( sel ) { + src = sel.src; + } + } + var path = ( src === undefined ) ? "" : src.slice( 0, src.lastIndexOf( "/" ) + 1 ); +//console.log("Path: " + path); + return path; +} +var path = scriptPath(); + +const initChalkboard = function ( Reveal ) { +//console.warn(path); + /* Feature detection for passive event handling*/ + var passiveSupported = false; + + try { + window.addEventListener( 'test', null, Object.defineProperty( {}, 'passive', { + get: function () { + passiveSupported = true; + } + } ) ); + } catch ( err ) {} + + +/***************************************************************** + ** Configuration + ******************************************************************/ + var background, pen, draw, color; + var grid = false; + var boardmarkerWidth = 3; + var chalkWidth = 7; + var chalkEffect = 1.0; + var rememberColor = [ true, false ]; + var eraser = { + src: path + 'img/sponge.png', + radius: 20 + }; + var boardmarkers = [ { + color: 'rgba(100,100,100,1)', + cursor: 'url(' + path + 'img/boardmarker-black.png), auto' + }, + { + color: 'rgba(30,144,255, 1)', + cursor: 'url(' + path + 'img/boardmarker-blue.png), auto' + }, + { + color: 'rgba(220,20,60,1)', + cursor: 'url(' + path + 'img/boardmarker-red.png), auto' + }, + { + color: 'rgba(50,205,50,1)', + cursor: 'url(' + path + 'img/boardmarker-green.png), auto' + }, + { + color: 'rgba(255,140,0,1)', + cursor: 'url(' + path + 'img/boardmarker-orange.png), auto' + }, + { + color: 'rgba(150,0,20150,1)', + cursor: 'url(' + path + 'img/boardmarker-purple.png), auto' + }, + { + color: 'rgba(255,220,0,1)', + cursor: 'url(' + path + 'img/boardmarker-yellow.png), auto' + } + ]; + var chalks = [ { + color: 'rgba(255,255,255,0.5)', + cursor: 'url(' + path + 'img/chalk-white.png), auto' + }, + { + color: 'rgba(96, 154, 244, 0.5)', + cursor: 'url(' + path + 'img/chalk-blue.png), auto' + }, + { + color: 'rgba(237, 20, 28, 0.5)', + cursor: 'url(' + path + 'img/chalk-red.png), auto' + }, + { + color: 'rgba(20, 237, 28, 0.5)', + cursor: 'url(' + path + 'img/chalk-green.png), auto' + }, + { + color: 'rgba(220, 133, 41, 0.5)', + cursor: 'url(' + path + 'img/chalk-orange.png), auto' + }, + { + color: 'rgba(220,0,220,0.5)', + cursor: 'url(' + path + 'img/chalk-purple.png), auto' + }, + { + color: 'rgba(255,220,0,0.5)', + cursor: 'url(' + path + 'img/chalk-yellow.png), auto' + } + ]; + var keyBindings = { + toggleNotesCanvas: { + keyCode: 67, + key: 'C', + description: 'Toggle notes canvas' + }, + toggleChalkboard: { + keyCode: 66, + key: 'B', + description: 'Toggle chalkboard' + }, + clear: { + keyCode: 46, + key: 'DEL', + description: 'Clear drawings on slide' + }, +/* + reset: { + keyCode: 173, + key: '-', + description: 'Reset drawings on slide' + }, +*/ + resetAll: { + keyCode: 8, + key: 'BACKSPACE', + description: 'Reset all drawings' + }, + colorNext: { + keyCode: 88, + key: 'X', + description: 'Next color' + }, + colorPrev: { + keyCode: 89, + key: 'Y', + description: 'Previous color' + }, + download: { + keyCode: 68, + key: 'D', + description: 'Download drawings' + } + }; + + + var theme = 'chalkboard'; + var color = [ 0, 0 ]; + var toggleChalkboardButton = false; + var toggleNotesButton = false; + var colorButtons = true; + var boardHandle = true; + var transition = 800; + + var readOnly = false; + var messageType = 'broadcast'; + + var config = configure( Reveal.getConfig().chalkboard || {} ); + if ( config.keyBindings ) { + for ( var key in config.keyBindings ) { + keyBindings[ key ] = config.keyBindings[ key ]; + }; + } + + function configure( config ) { + + if ( config.boardmarkerWidth || config.penWidth ) boardmarkerWidth = config.boardmarkerWidth || config.penWidth; + if ( config.chalkWidth ) chalkWidth = config.chalkWidth; + if ( config.chalkEffect ) chalkEffect = config.chalkEffect; + if ( config.rememberColor ) rememberColor = config.rememberColor; + if ( config.eraser ) eraser = config.eraser; + if ( config.boardmarkers ) boardmarkers = config.boardmarkers; + if ( config.chalks ) chalks = config.chalks; + + if ( config.theme ) theme = config.theme; + switch ( theme ) { + case 'whiteboard': + background = [ 'rgba(127,127,127,.1)', path + 'img/whiteboard.png' ]; + draw = [ drawWithBoardmarker, drawWithBoardmarker ]; + pens = [ boardmarkers, boardmarkers ]; + grid = { + color: 'rgb(127,127,255,0.1)', + distance: 40, + width: 2 + }; + break; + case 'chalkboard': + default: + background = [ 'rgba(127,127,127,.1)', path + 'img/blackboard.png' ]; + draw = [ drawWithBoardmarker, drawWithChalk ]; + pens = [ boardmarkers, chalks ]; + grid = { + color: 'rgb(50,50,10,0.5)', + distance: 80, + width: 2 + }; + } + + if ( config.background ) background = config.background; + if ( config.grid != undefined ) grid = config.grid; + + if ( config.toggleChalkboardButton != undefined ) toggleChalkboardButton = config.toggleChalkboardButton; + if ( config.toggleNotesButton != undefined ) toggleNotesButton = config.toggleNotesButton; + if ( config.colorButtons != undefined ) colorButtons = config.colorButtons; + if ( config.boardHandle != undefined ) boardHandle = config.boardHandle; + if ( config.transition ) transition = config.transition; + + if ( config.readOnly != undefined ) readOnly = config.readOnly; + if ( config.messageType ) messageType = config.messageType; + + if ( drawingCanvas && ( config.theme || config.background || config.grid ) ) { + var canvas = document.getElementById( drawingCanvas[ 1 ].id ); + canvas.style.background = 'url("' + background[ 1 ] + '") repeat'; + clearCanvas( 1 ); + drawGrid(); + } + + return config; + } +/***************************************************************** + ** Setup + ******************************************************************/ + + function whenReady( callback ) { + // wait for markdown to be parsed and code to be highlighted + if ( !document.querySelector( 'section[data-markdown]:not([data-markdown-parsed])' ) + && !document.querySelector( 'code[data-line-numbers*="|"]') + ) { + callback(); + } else { + console.log( "Wait for markdown to be parsed and code to be highlighted" ); + setTimeout( whenReady, 500, callback ) + } + } + + function whenLoaded( callback ) { + // wait for drawings to be loaded and markdown to be parsed + if ( loaded !== null ) { + callback(); + } else { + console.log( "Wait for drawings to be loaded" ); + setTimeout( whenLoaded, 500, callback ) + } + } + + if ( toggleChalkboardButton ) { +console.warn( "toggleChalkboardButton is deprecated, use customcontrols plugin instead!" ); +//console.log("toggleChalkboardButton") + var button = document.createElement( 'div' ); + button.className = "chalkboard-button"; + button.id = "toggle-chalkboard"; + button.style.visibility = "visible"; + button.style.position = "absolute"; + button.style.zIndex = 30; + button.style.fontSize = "24px"; + + button.style.left = toggleChalkboardButton.left || "30px"; + button.style.bottom = toggleChalkboardButton.bottom || "30px"; + button.style.top = toggleChalkboardButton.top || "auto"; + button.style.right = toggleChalkboardButton.right || "auto"; + + button.innerHTML = '' + document.querySelector( ".reveal" ).appendChild( button ); + } + if ( toggleNotesButton ) { +console.warn( "toggleNotesButton is deprecated, use customcontrols plugin instead!" ); +//console.log("toggleNotesButton") + var button = document.createElement( 'div' ); + button.className = "chalkboard-button"; + button.id = "toggle-notes"; + button.style.position = "absolute"; + button.style.zIndex = 30; + button.style.fontSize = "24px"; + + button.style.left = toggleNotesButton.left || "70px"; + button.style.bottom = toggleNotesButton.bottom || "30px"; + button.style.top = toggleNotesButton.top || "auto"; + button.style.right = toggleNotesButton.right || "auto"; + + button.innerHTML = '' + document.querySelector( ".reveal" ).appendChild( button ); + } + + var drawingCanvas = [ { + id: 'notescanvas' + }, { + id: 'chalkboard' + } ]; + setupDrawingCanvas( 0 ); + setupDrawingCanvas( 1 ); + + var mode = 0; // 0: notes canvas, 1: chalkboard + var board = 0; // board index (only for chalkboard) + + var mouseX = 0; + var mouseY = 0; + var lastX = null; + var lastY = null; + + var drawing = false; + var erasing = false; + + var slideStart = Date.now(); + var slideIndices = { + h: 0, + v: 0 + }; + + var timeouts = [ + [], + [] + ]; + var touchTimeout = null; + var slidechangeTimeout = null; + var updateStorageTimeout = null; + var playback = false; + + function createPalette( colors, length ) { + if ( length === true || length > colors.length ) { + length = colors.length; + } + var palette = document.createElement( 'div' ); + palette.classList.add( 'palette' ); + var list = document.createElement( 'ul' ); + // color pickers + for ( var i = 0; i < length; i++ ) { + var colorButton = document.createElement( 'li' ); + colorButton.setAttribute( 'data-color', i ); + colorButton.innerHTML = ''; + colorButton.style.color = colors[ i ].color; + colorButton.addEventListener( 'click', function ( e ) { + var element = e.target; + while ( !element.hasAttribute( 'data-color' ) ) { + element = element.parentElement; + } + colorIndex( parseInt( element.getAttribute( 'data-color' ) ) ); + } ); + colorButton.addEventListener( 'touchstart', function ( e ) { + var element = e.target; + while ( !element.hasAttribute( 'data-color' ) ) { + element = element.parentElement; + } + colorIndex( parseInt( element.getAttribute( 'data-color' ) ) ); + } ); + list.appendChild( colorButton ); + } + palette.appendChild( list ); + return palette; + }; + + function switchBoard( boardIdx ) { + selectBoard( boardIdx, true ); + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'selectboard', + timestamp: Date.now() - slideStart, + mode, + board + }; + document.dispatchEvent( message ); + } + + function setupDrawingCanvas( id ) { + var container = document.createElement( 'div' ); + container.id = drawingCanvas[ id ].id; + container.classList.add( 'overlay' ); + container.setAttribute( 'data-prevent-swipe', 'true' ); + container.oncontextmenu = function () { + return false; + } + container.style.cursor = pens[ id ][ color[ id ] ].cursor; + + drawingCanvas[ id ].width = window.innerWidth; + drawingCanvas[ id ].height = window.innerHeight; + drawingCanvas[ id ].scale = 1; + drawingCanvas[ id ].xOffset = 0; + drawingCanvas[ id ].yOffset = 0; + + if ( id == "0" ) { + container.style.background = 'rgba(0,0,0,0)'; + container.style.zIndex = 24; + container.style.opacity = 1; + container.style.visibility = 'visible'; + container.style.pointerEvents = 'none'; + + var slides = document.querySelector( '.slides' ); + var aspectRatio = Reveal.getConfig().width / Reveal.getConfig().height; + if ( drawingCanvas[ id ].width > drawingCanvas[ id ].height * aspectRatio ) { + drawingCanvas[ id ].xOffset = ( drawingCanvas[ id ].width - drawingCanvas[ id ].height * aspectRatio ) / 2; + } else if ( drawingCanvas[ id ].height > drawingCanvas[ id ].width / aspectRatio ) { + drawingCanvas[ id ].yOffset = ( drawingCanvas[ id ].height - drawingCanvas[ id ].width / aspectRatio ) / 2; + } + + if ( colorButtons ) { + var palette = createPalette( boardmarkers, colorButtons ); + palette.style.visibility = 'hidden'; // only show palette in drawing mode + container.appendChild( palette ); + } + } else { + container.style.background = 'url("' + background[ id ] + '") repeat'; + container.style.zIndex = 26; + container.style.opacity = 0; + container.style.visibility = 'hidden'; + + if ( colorButtons ) { + var palette = createPalette( chalks, colorButtons ); + container.appendChild( palette ); + } + if ( boardHandle ) { + var handle = document.createElement( 'div' ); + handle.classList.add( 'boardhandle' ); + handle.innerHTML = '

    '; + handle.querySelector( '#previousboard' ).addEventListener( 'click', function ( e ) { + e.preventDefault(); + switchBoard( board - 1 ); + } ); + handle.querySelector( '#nextboard' ).addEventListener( 'click', function ( e ) { + e.preventDefault(); + switchBoard( board + 1 ); + } ); + handle.querySelector( '#previousboard' ).addEventListener( 'touchstart', function ( e ) { + e.preventDefault(); + switchBoard( board - 1 ); + } ); + handle.querySelector( '#nextboard' ).addEventListener( 'touchstart', function ( e ) { + e.preventDefault(); + switchBoard( board + 1 ); + } ); + + container.appendChild( handle ); + } + } + + + var sponge = document.createElement( 'img' ); + sponge.src = eraser.src; + sponge.id = 'sponge'; + sponge.style.visibility = 'hidden'; + sponge.style.position = 'absolute'; + container.appendChild( sponge ); + drawingCanvas[ id ].sponge = sponge; + + var canvas = document.createElement( 'canvas' ); + canvas.width = drawingCanvas[ id ].width; + canvas.height = drawingCanvas[ id ].height; + canvas.setAttribute( 'data-chalkboard', id ); + canvas.style.cursor = pens[ id ][ color[ id ] ].cursor; + container.appendChild( canvas ); + drawingCanvas[ id ].canvas = canvas; + + drawingCanvas[ id ].context = canvas.getContext( '2d' ); + + setupCanvasEvents( container ); + + document.querySelector( '.reveal' ).appendChild( container ); + drawingCanvas[ id ].container = container; + } + + +/***************************************************************** + ** Storage + ******************************************************************/ + + var storage = [ { + width: Reveal.getConfig().width, + height: Reveal.getConfig().height, + data: [] + }, + { + width: Reveal.getConfig().width, + height: Reveal.getConfig().height, + data: [] + } + ]; + + var loaded = null; + + if ( config.storage ) { + // Get chalkboard drawings from session storage + loaded = initStorage( sessionStorage.getItem( config.storage ) ); + } + + if ( !loaded && config.src != null ) { + // Get chalkboard drawings from the given file + loadData( config.src ); + } + + /** + * Initialize storage. + */ + function initStorage( json ) { + var success = false; + try { + var data = JSON.parse( json ); + for ( var id = 0; id < data.length; id++ ) { + if ( drawingCanvas[ id ].width != data[ id ].width || drawingCanvas[ id ].height != data[ id ].height ) { + drawingCanvas[ id ].scale = Math.min( drawingCanvas[ id ].width / data[ id ].width, drawingCanvas[ id ].height / data[ id ].height ); + drawingCanvas[ id ].xOffset = ( drawingCanvas[ id ].width - data[ id ].width * drawingCanvas[ id ].scale ) / 2; + drawingCanvas[ id ].yOffset = ( drawingCanvas[ id ].height - data[ id ].height * drawingCanvas[ id ].scale ) / 2; + } + if ( config.readOnly ) { + drawingCanvas[ id ].container.style.cursor = 'default'; + drawingCanvas[ id ].canvas.style.cursor = 'default'; + } + } + success = true; + storage = data; + } catch ( err ) { + console.warn( "Cannot initialise storage!" ); + } + return success; + } + + + /** + * Load data. + */ + function loadData( filename ) { + var xhr = new XMLHttpRequest(); + xhr.onload = function () { + if ( xhr.readyState === 4 && xhr.status != 404 ) { + loaded = initStorage( xhr.responseText ); + updateStorage(); + console.log( "Drawings loaded from file" ); + } else { + config.readOnly = undefined; + readOnly = undefined; + console.warn( 'Failed to get file ' + filename + '. ReadyState: ' + xhr.readyState + ', Status: ' + xhr.status ); + loaded = false; + } + }; + + xhr.open( 'GET', filename, true ); + try { + xhr.send(); + } catch ( error ) { + config.readOnly = undefined; + readOnly = undefined; + console.warn( 'Failed to get file ' + filename + '. Make sure that the presentation and the file are served by a HTTP server and the file can be found there. ' + error ); + loaded = false; + } + } + + + function storageChanged( now ) { + if ( !now ) { + // create or update timer + if ( updateStorageTimeout ) { + clearTimeout( updateStorageTimeout ); + } + updateStorageTimeout = setTimeout( storageChanged, 1000, true); + } + else { +// console.log("Update storage", updateStorageTimeout, Date.now()); + updateStorage(); + updateStorageTimeout = null; + } + } + + function updateStorage() { + var json = JSON.stringify( storage ) + if ( config.storage ) { + sessionStorage.setItem( config.storage, json ) + } + return json; + } + + function recordEvent( event ) { +//console.log(event); + event.time = Date.now() - slideStart; + if ( mode == 1 ) event.board = board; + var slideData = getSlideData(); + var i = slideData.events.length; + while ( i > 0 && event.time < slideData.events[ i - 1 ].time ) { + i--; + } + slideData.events.splice( i, 0, event ); + slideData.duration = Math.max( slideData.duration, Date.now() - slideStart ) + 1; + + storageChanged(); + } + + /** + * Get data as json string. + */ + function getData() { + // cleanup slide data without events + for ( var id = 0; id < 2; id++ ) { + for ( var i = storage[ id ].data.length - 1; i >= 0; i-- ) { + if ( storage[ id ].data[ i ].events.length == 0 ) { + storage[ id ].data.splice( i, 1 ); + } + } + } + + return updateStorage(); + } + + /** + * Download data. + */ + function downloadData() { + var a = document.createElement( 'a' ); + document.body.appendChild( a ); + try { + a.download = 'chalkboard.json'; + var blob = new Blob( [ getData() ], { + type: 'application/json' + } ); + a.href = window.URL.createObjectURL( blob ); + } catch ( error ) { + // https://stackoverflow.com/a/6234804 + // escape data for proper handling of quotes and line breaks + // in case malicious gets a chance to craft the exception message + error = String(error).replace(/&/g, "&") + .replace(//g, ">") + .replace(/"/g, """) + .replace(/'/g, "'"); + + a.innerHTML += ' (' + error + ')'; + } + a.click(); + document.body.removeChild( a ); + } + + /** + * Returns data object for the slide with the given indices. + */ + function getSlideData( indices, id ) { + if ( id == undefined ) id = mode; + if ( !indices ) indices = slideIndices; + var data; + for ( var i = 0; i < storage[ id ].data.length; i++ ) { + if ( storage[ id ].data[ i ].slide.h === indices.h && storage[ id ].data[ i ].slide.v === indices.v && storage[ id ].data[ i ].slide.f === indices.f ) { + data = storage[ id ].data[ i ]; + return data; + } + } + var page = Number( Reveal.getCurrentSlide().getAttribute('data-pdf-page-number') ); +//console.log( indices, Reveal.getCurrentSlide() ); + storage[ id ].data.push( { + slide: indices, + page, + events: [], + duration: 0 + } ); + data = storage[ id ].data[ storage[ id ].data.length - 1 ]; + return data; + } + + /** + * Returns maximum duration of slide playback for both modes + */ + function getSlideDuration( indices ) { + if ( !indices ) indices = slideIndices; + var duration = 0; + for ( var id = 0; id < 2; id++ ) { + for ( var i = 0; i < storage[ id ].data.length; i++ ) { + if ( storage[ id ].data[ i ].slide.h === indices.h && storage[ id ].data[ i ].slide.v === indices.v && storage[ id ].data[ i ].slide.f === indices.f ) { + duration = Math.max( duration, storage[ id ].data[ i ].duration ); + break; + } + } + } +//console.log( duration ); + return duration; + } + +/***************************************************************** + ** Print + ******************************************************************/ + var printMode = ( /print-pdf/gi ).test( window.location.search ); +//console.log("createPrintout" + printMode) + + function addPageNumbers() { + // determine page number for printouts with fragments serialised + var slides = Reveal.getSlides(); + var page = 0; + for ( var i=0; i < slides.length; i++) { + slides[i].setAttribute('data-pdf-page-number',page.toString()); + // add number of fragments without fragment indices + var count = slides[i].querySelectorAll('.fragment:not([data-fragment-index])').length; + var fragments = slides[i].querySelectorAll('.fragment[data-fragment-index]'); + for ( var j=0; j < fragments.length; j++) { + // increasenumber of fragments by highest fragment index (which start at 0) + if ( Number(fragments[j].getAttribute('data-fragment-index')) + 1 > count ) { + count = Number(fragments[j].getAttribute('data-fragment-index')) + 1; + } + } +//console.log(count,fragments.length,( slides[i].querySelector('h1,h2,h3,h4')||{}).innerHTML, page); + page += count + 1; + } + } + + function createPrintout() { + //console.warn(Reveal.getTotalSlides(),Reveal.getSlidesElement()); + if ( storage[ 1 ].data.length == 0 ) return; + console.log( 'Create printout(s) for ' + storage[ 1 ].data.length + " slides" ); + drawingCanvas[ 0 ].container.style.opacity = 0; // do not print notes canvas + drawingCanvas[ 0 ].container.style.visibility = 'hidden'; + + var patImg = new Image(); + patImg.onload = function () { + var slides = Reveal.getSlides(); +//console.log(slides); + for ( var i = storage[ 1 ].data.length - 1; i >= 0; i-- ) { + console.log( 'Create printout for slide ' + storage[ 1 ].data[ i ].slide.h + '.' + storage[ 1 ].data[ i ].slide.v ); + var slideData = getSlideData( storage[ 1 ].data[ i ].slide, 1 ); + var drawings = createDrawings( slideData, patImg ); +//console.log("Page:", storage[ 1 ].data[ i ].page ); +//console.log("Slide:", slides[storage[ 1 ].data[ i ].page] ); + addDrawings( slides[storage[ 1 ].data[ i ].page], drawings ); + + } +// Reveal.sync(); + }; + patImg.src = background[ 1 ]; + } + + + function cloneCanvas( oldCanvas ) { + //create a new canvas + var newCanvas = document.createElement( 'canvas' ); + var context = newCanvas.getContext( '2d' ); + //set dimensions + newCanvas.width = oldCanvas.width; + newCanvas.height = oldCanvas.height; + //apply the old canvas to the new one + context.drawImage( oldCanvas, 0, 0 ); + //return the new canvas + return newCanvas; + } + + function getCanvas( template, container, board ) { + var idx = container.findIndex( element => element.board === board ); + if ( idx === -1 ) { + var canvas = cloneCanvas( template ); + if ( !container.length ) { + idx = 0; + container.push( { + board, + canvas + } ); + } else if ( board < container[ 0 ].board ) { + idx = 0; + container.unshift( { + board, + canvas + } ); + } else if ( board > container[ container.length - 1 ].board ) { + idx = container.length; + container.push( { + board, + canvas + } ); + } + } + + return container[ idx ].canvas; + } + + function createDrawings( slideData, patImg ) { + var width = Reveal.getConfig().width; + var height = Reveal.getConfig().height; + var scale = 1; + var xOffset = 0; + var yOffset = 0; + if ( width != storage[ 1 ].width || height != storage[ 1 ].height ) { + scale = Math.min( width / storage[ 1 ].width, height / storage[ 1 ].height ); + xOffset = ( width - storage[ 1 ].width * scale ) / 2; + yOffset = ( height - storage[ 1 ].height * scale ) / 2; + } + mode = 1; + board = 0; +// console.log( 'Create printout(s) for slide ', slideData ); + + var drawings = []; + var template = document.createElement( 'canvas' ); + template.width = width; + template.height = height; + + var imgCtx = template.getContext( '2d' ); + imgCtx.fillStyle = imgCtx.createPattern( patImg, 'repeat' ); + imgCtx.rect( 0, 0, width, height ); + imgCtx.fill(); + + for ( var j = 0; j < slideData.events.length; j++ ) { + switch ( slideData.events[ j ].type ) { + case 'draw': + draw[ 1 ]( getCanvas( template, drawings, board ).getContext( '2d' ), + xOffset + slideData.events[ j ].x1 * scale, + yOffset + slideData.events[ j ].y1 * scale, + xOffset + slideData.events[ j ].x2 * scale, + yOffset + slideData.events[ j ].y2 * scale, + yOffset + slideData.events[ j ].color + ); + break; + case 'erase': + eraseWithSponge( getCanvas( template, drawings, board ).getContext( '2d' ), + xOffset + slideData.events[ j ].x * scale, + yOffset + slideData.events[ j ].y * scale + ); + break; + case 'selectboard': + selectBoard( slideData.events[ j ].board ); + break; + case 'clear': + getCanvas( template, drawings, board ).getContext( '2d' ).clearRect( 0, 0, width, height ); + getCanvas( template, drawings, board ).getContext( '2d' ).fill(); + break; + default: + break; + } + } + + drawings = drawings.sort( ( a, b ) => a.board > b.board && 1 || -1 ); + + mode = 0; + + return drawings; + } + + function addDrawings( slide, drawings ) { + var parent = slide.parentElement.parentElement; + var nextSlide = slide.parentElement.nextElementSibling; + + for ( var i = 0; i < drawings.length; i++ ) { + var newPDFPage = document.createElement( 'div' ); + newPDFPage.classList.add( 'pdf-page' ); + newPDFPage.style.height = Reveal.getConfig().height; + newPDFPage.append( drawings[ i ].canvas ); +//console.log("Add drawing", newPDFPage); + if ( nextSlide != null ) { + parent.insertBefore( newPDFPage, nextSlide ); + } else { + parent.append( newPDFPage ); + } + } + } + + /***************************************************************** + ** Drawings + ******************************************************************/ + + function drawWithBoardmarker( context, fromX, fromY, toX, toY, colorIdx ) { + if ( colorIdx == undefined ) colorIdx = color[ mode ]; + context.lineWidth = boardmarkerWidth; + context.lineCap = 'round'; + context.strokeStyle = boardmarkers[ colorIdx ].color; + context.beginPath(); + context.moveTo( fromX, fromY ); + context.lineTo( toX, toY ); + context.stroke(); + } + + function drawWithChalk( context, fromX, fromY, toX, toY, colorIdx ) { + if ( colorIdx == undefined ) colorIdx = color[ mode ]; + var brushDiameter = chalkWidth; + context.lineWidth = brushDiameter; + context.lineCap = 'round'; + context.fillStyle = chalks[ colorIdx ].color; // 'rgba(255,255,255,0.5)'; + context.strokeStyle = chalks[ colorIdx ].color; + /*var opacity = Math.min(0.8, Math.max(0,color[1].replace(/^.*,(.+)\)/,'$1') - 0.1)) + Math.random()*0.2;*/ + var opacity = 1.0; + context.strokeStyle = context.strokeStyle.replace( /[\d\.]+\)$/g, opacity + ')' ); + context.beginPath(); + context.moveTo( fromX, fromY ); + context.lineTo( toX, toY ); + context.stroke(); + // Chalk Effect + var length = Math.round( Math.sqrt( Math.pow( toX - fromX, 2 ) + Math.pow( toY - fromY, 2 ) ) / ( 5 / brushDiameter ) ); + var xUnit = ( toX - fromX ) / length; + var yUnit = ( toY - fromY ) / length; + for ( var i = 0; i < length; i++ ) { + if ( chalkEffect > ( Math.random() * 0.9 ) ) { + var xCurrent = fromX + ( i * xUnit ); + var yCurrent = fromY + ( i * yUnit ); + var xRandom = xCurrent + ( Math.random() - 0.5 ) * brushDiameter * 1.2; + var yRandom = yCurrent + ( Math.random() - 0.5 ) * brushDiameter * 1.2; + context.clearRect( xRandom, yRandom, Math.random() * 2 + 2, Math.random() + 1 ); + } + } + } + + function eraseWithSponge( context, x, y ) { + context.save(); + context.beginPath(); + context.arc( x, y, eraser.radius, 0, 2 * Math.PI, false ); + context.clip(); + context.clearRect( x - eraser.radius - 1, y - eraser.radius - 1, eraser.radius * 2 + 2, eraser.radius * 2 + 2 ); + context.restore(); + if ( mode == 1 && grid ) { + redrawGrid( x, y, eraser.radius ); + } + } + + + /** + * Show an overlay for the chalkboard. + */ + function showChalkboard() { +//console.log("showChalkboard"); + clearTimeout( touchTimeout ); + touchTimeout = null; + drawingCanvas[ 0 ].sponge.style.visibility = 'hidden'; // make sure that the sponge from touch events is hidden + drawingCanvas[ 1 ].sponge.style.visibility = 'hidden'; // make sure that the sponge from touch events is hidden + drawingCanvas[ 1 ].container.style.opacity = 1; + drawingCanvas[ 1 ].container.style.visibility = 'visible'; + mode = 1; + } + + + /** + * Closes open chalkboard. + */ + function closeChalkboard() { + clearTimeout( touchTimeout ); + touchTimeout = null; + drawingCanvas[ 0 ].sponge.style.visibility = 'hidden'; // make sure that the sponge from touch events is hidden + drawingCanvas[ 1 ].sponge.style.visibility = 'hidden'; // make sure that the sponge from touch events is hidden + drawingCanvas[ 1 ].container.style.opacity = 0; + drawingCanvas[ 1 ].container.style.visibility = 'hidden'; + lastX = null; + lastY = null; + mode = 0; + } + + /** + * Clear current canvas. + */ + function clearCanvas( id ) { + if ( id == 0 ) clearTimeout( slidechangeTimeout ); + drawingCanvas[ id ].context.clearRect( 0, 0, drawingCanvas[ id ].width, drawingCanvas[ id ].height ); + if ( id == 1 && grid ) drawGrid(); + } + + /** + * Draw grid on background + */ + function drawGrid() { + var context = drawingCanvas[ 1 ].context; + + drawingCanvas[ 1 ].scale = Math.min( drawingCanvas[ 1 ].width / storage[ 1 ].width, drawingCanvas[ 1 ].height / storage[ 1 ].height ); + drawingCanvas[ 1 ].xOffset = ( drawingCanvas[ 1 ].width - storage[ 1 ].width * drawingCanvas[ 1 ].scale ) / 2; + drawingCanvas[ 1 ].yOffset = ( drawingCanvas[ 1 ].height - storage[ 1 ].height * drawingCanvas[ 1 ].scale ) / 2; + + var scale = drawingCanvas[ 1 ].scale; + var xOffset = drawingCanvas[ 1 ].xOffset; + var yOffset = drawingCanvas[ 1 ].yOffset; + + var distance = grid.distance * scale; + + var fromX = drawingCanvas[ 1 ].width / 2 - distance / 2 - Math.floor( ( drawingCanvas[ 1 ].width - distance ) / 2 / distance ) * distance; + for ( var x = fromX; x < drawingCanvas[ 1 ].width; x += distance ) { + context.beginPath(); + context.lineWidth = grid.width * scale; + context.lineCap = 'round'; + context.fillStyle = grid.color; + context.strokeStyle = grid.color; + context.moveTo( x, 0 ); + context.lineTo( x, drawingCanvas[ 1 ].height ); + context.stroke(); + } + var fromY = drawingCanvas[ 1 ].height / 2 - distance / 2 - Math.floor( ( drawingCanvas[ 1 ].height - distance ) / 2 / distance ) * distance; + + for ( var y = fromY; y < drawingCanvas[ 1 ].height; y += distance ) { + context.beginPath(); + context.lineWidth = grid.width * scale; + context.lineCap = 'round'; + context.fillStyle = grid.color; + context.strokeStyle = grid.color; + context.moveTo( 0, y ); + context.lineTo( drawingCanvas[ 1 ].width, y ); + context.stroke(); + } + } + + function redrawGrid( centerX, centerY, diameter ) { + var context = drawingCanvas[ 1 ].context; + + drawingCanvas[ 1 ].scale = Math.min( drawingCanvas[ 1 ].width / storage[ 1 ].width, drawingCanvas[ 1 ].height / storage[ 1 ].height ); + drawingCanvas[ 1 ].xOffset = ( drawingCanvas[ 1 ].width - storage[ 1 ].width * drawingCanvas[ 1 ].scale ) / 2; + drawingCanvas[ 1 ].yOffset = ( drawingCanvas[ 1 ].height - storage[ 1 ].height * drawingCanvas[ 1 ].scale ) / 2; + + var scale = drawingCanvas[ 1 ].scale; + var xOffset = drawingCanvas[ 1 ].xOffset; + var yOffset = drawingCanvas[ 1 ].yOffset; + + var distance = grid.distance * scale; + + var fromX = drawingCanvas[ 1 ].width / 2 - distance / 2 - Math.floor( ( drawingCanvas[ 1 ].width - distance ) / 2 / distance ) * distance; + + for ( var x = fromX + distance * Math.ceil( ( centerX - diameter - fromX ) / distance ); x <= fromX + distance * Math.floor( ( centerX + diameter - fromX ) / distance ); x += distance ) { + context.beginPath(); + context.lineWidth = grid.width * scale; + context.lineCap = 'round'; + context.fillStyle = grid.color; + context.strokeStyle = grid.color; + context.moveTo( x, centerY - Math.sqrt( diameter * diameter - ( centerX - x ) * ( centerX - x ) ) ); + context.lineTo( x, centerY + Math.sqrt( diameter * diameter - ( centerX - x ) * ( centerX - x ) ) ); + context.stroke(); + } + var fromY = drawingCanvas[ 1 ].height / 2 - distance / 2 - Math.floor( ( drawingCanvas[ 1 ].height - distance ) / 2 / distance ) * distance; + for ( var y = fromY + distance * Math.ceil( ( centerY - diameter - fromY ) / distance ); y <= fromY + distance * Math.floor( ( centerY + diameter - fromY ) / distance ); y += distance ) { + context.beginPath(); + context.lineWidth = grid.width * scale; + context.lineCap = 'round'; + context.fillStyle = grid.color; + context.strokeStyle = grid.color; + context.moveTo( centerX - Math.sqrt( diameter * diameter - ( centerY - y ) * ( centerY - y ) ), y ); + context.lineTo( centerX + Math.sqrt( diameter * diameter - ( centerY - y ) * ( centerY - y ) ), y ); + context.stroke(); + } + } + + /** + * Set the color + */ + function setColor( index, record ) { + // protect against out of bounds (this could happen when + // replaying events recorded with different color settings). + if ( index >= pens[ mode ].length ) index = 0; + color[ mode ] = index; + drawingCanvas[ mode ].canvas.style.cursor = pens[ mode ][ color[ mode ] ].cursor; + } + + /** + * Set the board + */ + function selectBoard( boardIdx, record ) { +//console.log("Set board",boardIdx); + if ( board == boardIdx ) return; + + board = boardIdx; + redrawChalkboard( boardIdx ); + if ( record ) { + recordEvent( { type: 'selectboard' } ); + } + } + + function redrawChalkboard( boardIdx ) { + clearCanvas( 1 ); + var slideData = getSlideData( slideIndices, 1 ); + var index = 0; + var play = ( boardIdx == 0 ); + while ( index < slideData.events.length && slideData.events[ index ].time < Date.now() - slideStart ) { + if ( boardIdx == slideData.events[ index ].board ) { + playEvent( 1, slideData.events[ index ], Date.now() - slideStart ); + } + + index++; + } + } + + + /** + * Forward cycle color + */ + function cycleColorNext() { + color[ mode ] = ( color[ mode ] + 1 ) % pens[ mode ].length; + return color[ mode ]; + } + + /** + * Backward cycle color + */ + function cycleColorPrev() { + color[ mode ] = ( color[ mode ] + ( pens[ mode ].length - 1 ) ) % pens[ mode ].length; + return color[ mode ]; + } + +/***************************************************************** + ** Broadcast + ******************************************************************/ + + var eventQueue = []; + + document.addEventListener( 'received', function ( message ) { + if ( message.content && message.content.sender == 'chalkboard-plugin' ) { + // add message to queue + eventQueue.push( message ); + console.log( JSON.stringify( message ) ); + } + if ( eventQueue.length == 1 ) processQueue(); + } ); + + function processQueue() { + // take first message from queue + var message = eventQueue.shift(); + + // synchronize time with seminar host + slideStart = Date.now() - message.content.timestamp; + // set status + if ( mode < message.content.mode ) { + // open chalkboard + showChalkboard(); + } else if ( mode > message.content.mode ) { + // close chalkboard + closeChalkboard(); + } + if ( board != message.content.board ) { + board = message.content.board; + redrawChalkboard( board ); + }; + + switch ( message.content.type ) { + case 'showChalkboard': + showChalkboard(); + break; + case 'closeChalkboard': + closeChalkboard(); + break; + case 'erase': + erasePoint( message.content.x, message.content.y ); + break; + case 'draw': + drawSegment( message.content.fromX, message.content.fromY, message.content.toX, message.content.toY, message.content.color ); + break; + case 'clear': + clearSlide(); + break; + case 'selectboard': + selectBoard( message.content.board, true ); + break; + case 'resetSlide': + resetSlideDrawings(); + break; + case 'init': + storage = message.content.storage; + for ( var id = 0; id < 2; id++ ) { + drawingCanvas[ id ].scale = Math.min( drawingCanvas[ id ].width / storage[ id ].width, drawingCanvas[ id ].height / storage[ id ].height ); + drawingCanvas[ id ].xOffset = ( drawingCanvas[ id ].width - storage[ id ].width * drawingCanvas[ id ].scale ) / 2; + drawingCanvas[ id ].yOffset = ( drawingCanvas[ id ].height - storage[ id ].height * drawingCanvas[ id ].scale ) / 2; + } + clearCanvas( 0 ); + clearCanvas( 1 ); + if ( !playback ) { + slidechangeTimeout = setTimeout( startPlayback, transition, getSlideDuration(), 0 ); + } + if ( mode == 1 && message.content.mode == 0 ) { + setTimeout( closeChalkboard, transition + 50 ); + } + if ( mode == 0 && message.content.mode == 1 ) { + setTimeout( showChalkboard, transition + 50 ); + } + mode = message.content.mode; + board = message.content.board; + break; + default: + break; + } + + // continue with next message if queued + if ( eventQueue.length > 0 ) { + processQueue(); + } else { + storageChanged(); + } + } + + document.addEventListener( 'welcome', function ( user ) { + // broadcast storage + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + recipient: user.id, + type: 'init', + timestamp: Date.now() - slideStart, + storage: storage, + mode, + board + }; + document.dispatchEvent( message ); + } ); + + /***************************************************************** + ** Playback + ******************************************************************/ + + document.addEventListener( 'seekplayback', function ( event ) { +//console.log('event seekplayback ' + event.timestamp); + stopPlayback(); + if ( !playback || event.timestamp == 0 ) { + // in other cases startplayback fires after seeked + startPlayback( event.timestamp ); + } + //console.log('seeked'); + } ); + + + document.addEventListener( 'startplayback', function ( event ) { +//console.log('event startplayback ' + event.timestamp); + stopPlayback(); + playback = true; + startPlayback( event.timestamp ); + } ); + + document.addEventListener( 'stopplayback', function ( event ) { +//console.log('event stopplayback ' + (Date.now() - slideStart) ); + playback = false; + stopPlayback(); + } ); + + document.addEventListener( 'startrecording', function ( event ) { +//console.log('event startrecording ' + event.timestamp); + startRecording(); + } ); + + + function startRecording() { + resetSlide( true ); + slideStart = Date.now(); + } + + function startPlayback( timestamp, finalMode ) { +//console.log("playback " + timestamp ); + slideStart = Date.now() - timestamp; + closeChalkboard(); + mode = 0; + board = 0; + for ( var id = 0; id < 2; id++ ) { + clearCanvas( id ); + var slideData = getSlideData( slideIndices, id ); +//console.log( timestamp +" / " + JSON.stringify(slideData)); + var index = 0; + while ( index < slideData.events.length && slideData.events[ index ].time < ( Date.now() - slideStart ) ) { + playEvent( id, slideData.events[ index ], timestamp ); + index++; + } + + while ( playback && index < slideData.events.length ) { + timeouts[ id ].push( setTimeout( playEvent, slideData.events[ index ].time - ( Date.now() - slideStart ), id, slideData.events[ index ], timestamp ) ); + index++; + } + } +//console.log("Mode: " + finalMode + "/" + mode ); + if ( finalMode != undefined ) { + mode = finalMode; + } + if ( mode == 1 ) showChalkboard(); +//console.log("playback (ok)"); + + }; + + function stopPlayback() { +//console.log("stopPlayback"); +//console.log("Timeouts: " + timeouts[0].length + "/"+ timeouts[1].length); + for ( var id = 0; id < 2; id++ ) { + for ( var i = 0; i < timeouts[ id ].length; i++ ) { + clearTimeout( timeouts[ id ][ i ] ); + } + timeouts[ id ] = []; + } + }; + + function playEvent( id, event, timestamp ) { +//console.log( timestamp +" / " + JSON.stringify(event)); +//console.log( id + ": " + timestamp +" / " + event.time +" / " + event.type +" / " + mode ); + switch ( event.type ) { + case 'open': + if ( timestamp <= event.time ) { + showChalkboard(); + } else { + mode = 1; + } + + break; + case 'close': + if ( timestamp < event.time ) { + closeChalkboard(); + } else { + mode = 0; + } + break; + case 'clear': + clearCanvas( id ); + break; + case 'selectboard': + selectBoard( event.board ); + break; + case 'draw': + drawLine( id, event, timestamp ); + break; + case 'erase': + eraseCircle( id, event, timestamp ); + break; + } + }; + + function drawLine( id, event, timestamp ) { + var ctx = drawingCanvas[ id ].context; + var scale = drawingCanvas[ id ].scale; + var xOffset = drawingCanvas[ id ].xOffset; + var yOffset = drawingCanvas[ id ].yOffset; + draw[ id ]( ctx, xOffset + event.x1 * scale, yOffset + event.y1 * scale, xOffset + event.x2 * scale, yOffset + event.y2 * scale, event.color ); + }; + + function eraseCircle( id, event, timestamp ) { + var ctx = drawingCanvas[ id ].context; + var scale = drawingCanvas[ id ].scale; + var xOffset = drawingCanvas[ id ].xOffset; + var yOffset = drawingCanvas[ id ].yOffset; + + eraseWithSponge( ctx, xOffset + event.x * scale, yOffset + event.y * scale ); + }; + + function startErasing( x, y ) { + drawing = false; + erasing = true; + drawingCanvas[ mode ].sponge.style.visibility = 'visible'; + erasePoint( x, y ); + } + + function erasePoint( x, y ) { + var ctx = drawingCanvas[ mode ].context; + var scale = drawingCanvas[ mode ].scale; + var xOffset = drawingCanvas[ mode ].xOffset; + var yOffset = drawingCanvas[ mode ].yOffset; + + // move sponge image + drawingCanvas[ mode ].sponge.style.left = ( x * scale + xOffset - eraser.radius ) + 'px'; + drawingCanvas[ mode ].sponge.style.top = ( y * scale + yOffset - 2 * eraser.radius ) + 'px'; + + recordEvent( { + type: 'erase', + x, + y + } ); + + if ( + x * scale + xOffset > 0 && + y * scale + yOffset > 0 && + x * scale + xOffset < drawingCanvas[ mode ].width && + y * scale + yOffset < drawingCanvas[ mode ].height + ) { + eraseWithSponge( ctx, x * scale + xOffset, y * scale + yOffset ); + } + } + + function stopErasing() { + erasing = false; + // hide sponge + drawingCanvas[ mode ].sponge.style.visibility = 'hidden'; + } + + function startDrawing( x, y ) { + drawing = true; + + var ctx = drawingCanvas[ mode ].context; + var scale = drawingCanvas[ mode ].scale; + var xOffset = drawingCanvas[ mode ].xOffset; + var yOffset = drawingCanvas[ mode ].yOffset; + lastX = x * scale + xOffset; + lastY = y * scale + yOffset; + } + + function drawSegment( fromX, fromY, toX, toY, colorIdx ) { + var ctx = drawingCanvas[ mode ].context; + var scale = drawingCanvas[ mode ].scale; + var xOffset = drawingCanvas[ mode ].xOffset; + var yOffset = drawingCanvas[ mode ].yOffset; + + recordEvent( { + type: 'draw', + color: colorIdx, + x1: fromX, + y1: fromY, + x2: toX, + y2: toY + } ); + + if ( + fromX * scale + xOffset > 0 && + fromY * scale + yOffset > 0 && + fromX * scale + xOffset < drawingCanvas[ mode ].width && + fromY * scale + yOffset < drawingCanvas[ mode ].height && + toX * scale + xOffset > 0 && + toY * scale + yOffset > 0 && + toX * scale + xOffset < drawingCanvas[ mode ].width && + toY * scale + yOffset < drawingCanvas[ mode ].height + ) { + draw[ mode ]( ctx, fromX * scale + xOffset, fromY * scale + yOffset, toX * scale + xOffset, toY * scale + yOffset, colorIdx ); + } + } + + function stopDrawing() { + drawing = false; + } + + +/***************************************************************** + ** User interface + ******************************************************************/ + + function setupCanvasEvents( canvas ) { +// TODO: check all touchevents + canvas.addEventListener( 'touchstart', function ( evt ) { + evt.preventDefault(); +//console.log("Touch start"); + if ( !readOnly && evt.target.getAttribute( 'data-chalkboard' ) == mode ) { + var scale = drawingCanvas[ mode ].scale; + var xOffset = drawingCanvas[ mode ].xOffset; + var yOffset = drawingCanvas[ mode ].yOffset; + + var touch = evt.touches[ 0 ]; + mouseX = touch.pageX; + mouseY = touch.pageY; + startDrawing( ( mouseX - xOffset ) / scale, ( mouseY - yOffset ) / scale ); + touchTimeout = setTimeout( startErasing, 500, ( mouseX - xOffset ) / scale, ( mouseY - yOffset ) / scale ); + } + }, passiveSupported ? { + passive: false + } : false ); + + canvas.addEventListener( 'touchmove', function ( evt ) { + evt.preventDefault(); +//console.log("Touch move"); + clearTimeout( touchTimeout ); + touchTimeout = null; + if ( drawing || erasing ) { + var scale = drawingCanvas[ mode ].scale; + var xOffset = drawingCanvas[ mode ].xOffset; + var yOffset = drawingCanvas[ mode ].yOffset; + + var touch = evt.touches[ 0 ]; + mouseX = touch.pageX; + mouseY = touch.pageY; + if ( mouseY < drawingCanvas[ mode ].height && mouseX < drawingCanvas[ mode ].width ) { + // move sponge + if ( event.type == 'erase' ) { + drawingCanvas[ mode ].sponge.style.left = ( mouseX - eraser.radius ) + 'px'; + drawingCanvas[ mode ].sponge.style.top = ( mouseY - eraser.radius ) + 'px'; + } + } + + if ( drawing ) { + drawSegment( ( lastX - xOffset ) / scale, ( lastY - yOffset ) / scale, ( mouseX - xOffset ) / scale, ( mouseY - yOffset ) / scale, color[ mode ] ); + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'draw', + timestamp: Date.now() - slideStart, + mode, + board, + fromX: ( lastX - xOffset ) / scale, + fromY: ( lastY - yOffset ) / scale, + toX: ( mouseX - xOffset ) / scale, + toY: ( mouseY - yOffset ) / scale, + color: color[ mode ] + }; + document.dispatchEvent( message ); + + lastX = mouseX; + lastY = mouseY; + } else { + erasePoint( ( mouseX - xOffset ) / scale, ( mouseY - yOffset ) / scale ); + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'erase', + timestamp: Date.now() - slideStart, + mode, + board, + x: ( mouseX - xOffset ) / scale, + y: ( mouseY - yOffset ) / scale + }; + document.dispatchEvent( message ); + } + + } + }, false ); + + + canvas.addEventListener( 'touchend', function ( evt ) { + evt.preventDefault(); + clearTimeout( touchTimeout ); + touchTimeout = null; + // hide sponge image + drawingCanvas[ mode ].sponge.style.visibility = 'hidden'; + stopDrawing(); + }, false ); + + canvas.addEventListener( 'mousedown', function ( evt ) { + evt.preventDefault(); + if ( !readOnly && evt.target.getAttribute( 'data-chalkboard' ) == mode ) { +//console.log( "mousedown: " + evt.button ); + var scale = drawingCanvas[ mode ].scale; + var xOffset = drawingCanvas[ mode ].xOffset; + var yOffset = drawingCanvas[ mode ].yOffset; + + mouseX = evt.pageX; + mouseY = evt.pageY; + + if ( evt.button == 2 || evt.button == 1 ) { + startErasing( ( mouseX - xOffset ) / scale, ( mouseY - yOffset ) / scale ); + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'erase', + timestamp: Date.now() - slideStart, + mode, + board, + x: ( mouseX - xOffset ) / scale, + y: ( mouseY - yOffset ) / scale + }; + document.dispatchEvent( message ); + } else { + startDrawing( ( mouseX - xOffset ) / scale, ( mouseY - yOffset ) / scale ); + } + } + } ); + + canvas.addEventListener( 'mousemove', function ( evt ) { + evt.preventDefault(); +//console.log("Mouse move"); + if ( drawing || erasing ) { + var scale = drawingCanvas[ mode ].scale; + var xOffset = drawingCanvas[ mode ].xOffset; + var yOffset = drawingCanvas[ mode ].yOffset; + + mouseX = evt.pageX; + mouseY = evt.pageY; + + if ( drawing ) { + drawSegment( ( lastX - xOffset ) / scale, ( lastY - yOffset ) / scale, ( mouseX - xOffset ) / scale, ( mouseY - yOffset ) / scale, color[ mode ] ); + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'draw', + timestamp: Date.now() - slideStart, + mode, + board, + fromX: ( lastX - xOffset ) / scale, + fromY: ( lastY - yOffset ) / scale, + toX: ( mouseX - xOffset ) / scale, + toY: ( mouseY - yOffset ) / scale, + color: color[ mode ] + }; + document.dispatchEvent( message ); + + lastX = mouseX; + lastY = mouseY; + } else { + erasePoint( ( mouseX - xOffset ) / scale, ( mouseY - yOffset ) / scale ); + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'erase', + timestamp: Date.now() - slideStart, + mode, + board, + x: ( mouseX - xOffset ) / scale, + y: ( mouseY - yOffset ) / scale + }; + document.dispatchEvent( message ); + } + + } + } ); + + + canvas.addEventListener( 'mouseup', function ( evt ) { + evt.preventDefault(); + drawingCanvas[ mode ].canvas.style.cursor = pens[ mode ][ color[ mode ] ].cursor; + if ( drawing || erasing ) { + stopDrawing(); + stopErasing(); + } + } ); + } + + function resize() { +//console.log("resize"); + // Resize the canvas and draw everything again + var timestamp = Date.now() - slideStart; + if ( !playback ) { + timestamp = getSlideDuration(); + } + +//console.log( drawingCanvas[0].scale + "/" + drawingCanvas[0].xOffset + "/" +drawingCanvas[0].yOffset ); + for ( var id = 0; id < 2; id++ ) { + drawingCanvas[ id ].width = window.innerWidth; + drawingCanvas[ id ].height = window.innerHeight; + drawingCanvas[ id ].canvas.width = drawingCanvas[ id ].width; + drawingCanvas[ id ].canvas.height = drawingCanvas[ id ].height; + drawingCanvas[ id ].context.canvas.width = drawingCanvas[ id ].width; + drawingCanvas[ id ].context.canvas.height = drawingCanvas[ id ].height; + + drawingCanvas[ id ].scale = Math.min( drawingCanvas[ id ].width / storage[ id ].width, drawingCanvas[ id ].height / storage[ id ].height ); + drawingCanvas[ id ].xOffset = ( drawingCanvas[ id ].width - storage[ id ].width * drawingCanvas[ id ].scale ) / 2; + drawingCanvas[ id ].yOffset = ( drawingCanvas[ id ].height - storage[ id ].height * drawingCanvas[ id ].scale ) / 2; +//console.log( drawingCanvas[id].scale + "/" + drawingCanvas[id].xOffset + "/" +drawingCanvas[id].yOffset ); + } +//console.log( window.innerWidth + "/" + window.innerHeight); + startPlayback( timestamp, mode, true ); + } + + Reveal.addEventListener( 'pdf-ready', function ( evt ) { +// console.log( "Create printouts when ready" ); + whenLoaded( createPrintout ); + }); + + Reveal.addEventListener( 'ready', function ( evt ) { +//console.log('ready'); + if ( !printMode ) { + window.addEventListener( 'resize', resize ); + + slideStart = Date.now() - getSlideDuration(); + slideIndices = Reveal.getIndices(); + if ( !playback ) { + startPlayback( getSlideDuration(), 0 ); + } + if ( Reveal.isAutoSliding() ) { + var event = new CustomEvent( 'startplayback' ); + event.timestamp = 0; + document.dispatchEvent( event ); + } + updateStorage(); + whenReady( addPageNumbers ); + } + } ); + Reveal.addEventListener( 'slidechanged', function ( evt ) { +// clearTimeout( slidechangeTimeout ); +//console.log('slidechanged'); + if ( !printMode ) { + slideStart = Date.now() - getSlideDuration(); + slideIndices = Reveal.getIndices(); + closeChalkboard(); + board = 0; + clearCanvas( 0 ); + clearCanvas( 1 ); + if ( !playback ) { + slidechangeTimeout = setTimeout( startPlayback, transition, getSlideDuration(), 0 ); + } + if ( Reveal.isAutoSliding() ) { + var event = new CustomEvent( 'startplayback' ); + event.timestamp = 0; + document.dispatchEvent( event ); + } + } + } ); + Reveal.addEventListener( 'fragmentshown', function ( evt ) { +// clearTimeout( slidechangeTimeout ); +//console.log('fragmentshown'); + if ( !printMode ) { + slideStart = Date.now() - getSlideDuration(); + slideIndices = Reveal.getIndices(); + closeChalkboard(); + board = 0; + clearCanvas( 0 ); + clearCanvas( 1 ); + if ( Reveal.isAutoSliding() ) { + var event = new CustomEvent( 'startplayback' ); + event.timestamp = 0; + document.dispatchEvent( event ); + } else if ( !playback ) { + startPlayback( getSlideDuration(), 0 ); +// closeChalkboard(); + } + } + } ); + Reveal.addEventListener( 'fragmenthidden', function ( evt ) { +// clearTimeout( slidechangeTimeout ); +//console.log('fragmenthidden'); + if ( !printMode ) { + slideStart = Date.now() - getSlideDuration(); + slideIndices = Reveal.getIndices(); + closeChalkboard(); + board = 0; + clearCanvas( 0 ); + clearCanvas( 1 ); + if ( Reveal.isAutoSliding() ) { + document.dispatchEvent( new CustomEvent( 'stopplayback' ) ); + } else if ( !playback ) { + startPlayback( getSlideDuration() ); + closeChalkboard(); + } + } + } ); + + Reveal.addEventListener( 'autoslideresumed', function ( evt ) { +//console.log('autoslideresumed'); + var event = new CustomEvent( 'startplayback' ); + event.timestamp = 0; + document.dispatchEvent( event ); + } ); + Reveal.addEventListener( 'autoslidepaused', function ( evt ) { +//console.log('autoslidepaused'); + document.dispatchEvent( new CustomEvent( 'stopplayback' ) ); + + // advance to end of slide +// closeChalkboard(); + startPlayback( getSlideDuration(), 0 ); + } ); + + function toggleNotesCanvas() { + if ( !readOnly ) { + if ( mode == 1 ) { + toggleChalkboard(); + notescanvas.style.background = background[ 0 ]; //'rgba(255,0,0,0.5)'; + notescanvas.style.pointerEvents = 'auto'; + } + else { + if ( notescanvas.style.pointerEvents != 'none' ) { + // hide notes canvas + if ( colorButtons ) { + notescanvas.querySelector( '.palette' ).style.visibility = 'hidden'; + } + notescanvas.style.background = 'rgba(0,0,0,0)'; + notescanvas.style.pointerEvents = 'none'; + } + else { + // show notes canvas + if ( colorButtons ) { + notescanvas.querySelector( '.palette' ).style.visibility = 'visible'; + } + notescanvas.style.background = background[ 0 ]; //'rgba(255,0,0,0.5)'; + notescanvas.style.pointerEvents = 'auto'; + + var idx = 0; + if ( color[ mode ] ) { + idx = color[ mode ]; + } + + setColor( idx, true ); + } + } + } + }; + + function toggleChalkboard() { +//console.log("toggleChalkboard " + mode); + if ( mode == 1 ) { + if ( !readOnly ) { + recordEvent( { type: 'close' } ); + } + closeChalkboard(); + + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'closeChalkboard', + timestamp: Date.now() - slideStart, + mode: 0, + board + }; + document.dispatchEvent( message ); + + + } else { + showChalkboard(); + if ( !readOnly ) { + recordEvent( { type: 'open' } ); + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'showChalkboard', + timestamp: Date.now() - slideStart, + mode: 1, + board + }; + document.dispatchEvent( message ); + + var idx = 0; + + if ( rememberColor[ mode ] ) { + idx = color[ mode ]; + } + + setColor( idx, true ); + } + } + }; + + function clearSlide() { + recordEvent( { type: 'clear' } ); + clearCanvas( mode ); + } + + function clear() { + if ( !readOnly ) { + clearSlide(); + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'clear', + timestamp: Date.now() - slideStart, + mode, + board + }; + document.dispatchEvent( message ); + } + }; + + function colorIndex( idx ) { + if ( !readOnly ) { + setColor( idx, true ); + } + } + + function colorNext() { + if ( !readOnly ) { + let idx = cycleColorNext(); + setColor( idx, true ); + } + } + + function colorPrev() { + if ( !readOnly ) { + let idx = cycleColorPrev(); + setColor( idx, true ); + } + } + + function resetSlideDrawings() { + slideStart = Date.now(); + closeChalkboard(); + + clearCanvas( 0 ); + clearCanvas( 1 ); + + mode = 1; + var slideData = getSlideData(); + slideData.duration = 0; + slideData.events = []; + mode = 0; + var slideData = getSlideData(); + slideData.duration = 0; + slideData.events = []; + + updateStorage(); + } + + function resetSlide( force ) { + var ok = force || confirm( "Please confirm to delete chalkboard drawings on this slide!" ); + if ( ok ) { +//console.log("resetSlide "); + stopPlayback(); + resetSlideDrawings(); + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'resetSlide', + timestamp: Date.now() - slideStart, + mode, + board + }; + document.dispatchEvent( message ); + } + }; + + function resetStorage( force ) { + var ok = force || confirm( "Please confirm to delete all chalkboard drawings!" ); + if ( ok ) { + stopPlayback(); + slideStart = Date.now(); + clearCanvas( 0 ); + clearCanvas( 1 ); + if ( mode == 1 ) { + closeChalkboard(); + } + + storage = [ { + width: Reveal.getConfig().width, + height: Reveal.getConfig().height, + data: [] + }, + { + width: Reveal.getConfig().width, + height: Reveal.getConfig().height, + data: [] + } + ]; + + if ( config.storage ) { + sessionStorage.setItem( config.storage, null ) + } + // broadcast + var message = new CustomEvent( messageType ); + message.content = { + sender: 'chalkboard-plugin', + type: 'init', + timestamp: Date.now() - slideStart, + storage, + mode, + board + }; + document.dispatchEvent( message ); + } + }; + + this.toggleNotesCanvas = toggleNotesCanvas; + this.toggleChalkboard = toggleChalkboard; + this.colorIndex = colorIndex; + this.colorNext = colorNext; + this.colorPrev = colorPrev; + this.clear = clear; + this.reset = resetSlide; + this.resetAll = resetStorage; + this.download = downloadData; + this.updateStorage = updateStorage; + this.getData = getData; + this.configure = configure; + + + for ( var key in keyBindings ) { + if ( keyBindings[ key ] ) { + Reveal.addKeyBinding( keyBindings[ key ], RevealChalkboard[ key ] ); + } + }; + + return this; +}; diff --git a/_site/site_libs/revealjs/plugin/reveal-chalkboard/plugin.yml b/_site/site_libs/revealjs/plugin/reveal-chalkboard/plugin.yml new file mode 100644 index 0000000..b0568c2 --- /dev/null +++ b/_site/site_libs/revealjs/plugin/reveal-chalkboard/plugin.yml @@ -0,0 +1,7 @@ +name: RevealChalkboard +script: plugin.js +stylesheet: ["font-awesome/css/all.css", "style.css"] +self-contained: false +config: + chalkboard: + buttons: true diff --git a/_site/site_libs/revealjs/plugin/reveal-chalkboard/style.css b/_site/site_libs/revealjs/plugin/reveal-chalkboard/style.css new file mode 100644 index 0000000..08765e7 --- /dev/null +++ b/_site/site_libs/revealjs/plugin/reveal-chalkboard/style.css @@ -0,0 +1,44 @@ +div.palette, div.boardhandle { + position: absolute; +/* + height: 260px; + margin: -130px 0 0 0px; +*/ + top: 50%; + transform: translateY(-50%); + font-size: 24px; + border-radius: 10px; + border-top: 4px solid #222; + border-right: 4px solid #222; + border-bottom: 4px solid #222; + background: black; + transition: transform 0.3s; +} + +div.palette { + left: -10px; + padding-left:10px; +} + +div.boardhandle { + right: -10px; + padding-right:10px; +} + +div.palette > ul, +div.boardhandle > ul { + list-style-type: none; + margin: 0; + padding: 0; +} + +div.palette > ul > li, +div.boardhandle > ul > li { + margin: 10px; +} + +@media print { + div.palette, div.boardhandle, .chalkboard-button { + display: none!important; + } +} diff --git a/_site/slides/aesthetic-mappings.html b/_site/slides/aesthetic-mappings.html index 42cd650..cc0e60e 100644 --- a/_site/slides/aesthetic-mappings.html +++ b/_site/slides/aesthetic-mappings.html @@ -11,6 +11,7 @@ + SDS 366 – Aesthetic mappings @@ -99,6 +100,8 @@ + + + + + + + + + + + + + +
    +
    + +
    +

    Visualizing amounts

    + +
    +
    +
    +Claus O. Wilke +
    +
    +
    + +

    2024-12-26

    +
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    +

    Many datasets contain simple amounts

    +


    +
    +

    Example: Highest grossing movies Dec. 2017

    +
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    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    ranktitleamount
    1Star Wars71.57
    2Jumanji36.17
    3Pitch Perfect 319.93
    4Greatest Showman8.81
    5Ferdinand7.32
    + + +
    +
    +
    +
    +

    Data source: Box Office Mojo

    +
    +
    +
    +
    +

    We can visualize amounts with bar plots

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    +
     
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    Bars can also run horizontally

    +
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    +
     
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    Avoid rotated axis labels

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    +
     
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    Avoid rotated axis labels

    +
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    +
     
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    Pay attention to the order of the bars

    +
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    +
     
    +
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    Pay attention to the order of the bars

    +
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    We can use dots instead of bars

    +
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    +
     
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    Dots are preferable if we want to truncate the axes

    +
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    +
     
    +
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    Dots are preferable if we want to truncate the axes

    +
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    +
     
    +
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    Bar lengths do
    not accurately
    represent the
    data values
     

    +
    +
    +
    +

    Dots are preferable if we want to truncate the axes

    +
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    +
     
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    Key features
    of the data
    are obscured
     

    +
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    Dots are preferable if we want to truncate the axes

    +
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    + +
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    Grouped bars

    + +
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    We use grouped bars for higher-dimensional datasets

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    Data source: United States Census Bureau, 2016

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    We are free to choose by which variable to group

    +


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    Data source: United States Census Bureau, 2016

    +
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    We can also use multiple plot panels (facets)

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    +
     
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    Data source: United States Census Bureau, 2016

    +
    + +
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    Making bar plots in ggplot2

    + +
    +
    +

    Dataset: Highest grossing movies Dec. 2017

    +
    +
    # Data from Box Office Mojo for Dec. 22-24, 2017. 
+boxoffice <- tibble(
+  rank = 1:5,
+  title = c(
+    "Star Wars", "Jumanji", "Pitch Perfect 3",
+    "Greatest Showman", "Ferdinand"
+  ),
+  amount = c(71.57, 36.17, 19.93, 8.81, 7.32) # million USD
+)
+
+boxoffice
    +
    +
    # A tibble: 5 × 3
+   rank title            amount
+  <int> <chr>             <dbl>
+1     1 Star Wars         71.6 
+2     2 Jumanji           36.2 
+3     3 Pitch Perfect 3   19.9 
+4     4 Greatest Showman   8.81
+5     5 Ferdinand          7.32
    +
    +
    +
    +
    +

    Visualize as a bar plot

    +
    +
    ggplot(boxoffice, aes(title, amount)) +
+  geom_col()  # "col" stands for column
    +
    +
    +
    +

    +
     
    +
    +
    +
    +
    +
    +
    +

    Order by data value

    +
    +
    ggplot(boxoffice, aes(fct_reorder(title, amount), amount)) +
+  geom_col()  # "col" stands for column
    +
    +
    +
    +

    +
     
    +
    +
    +
    +
    +
    +
    +

    Order by data value, descending

    +
    +
    ggplot(boxoffice, aes(fct_reorder(title, -amount), amount)) +
+  geom_col() + 
+  xlab(NULL) # remove x axis label
    +
    +
    +
    +

    +
     
    +
    +
    +
    +
    +
    +
    +

    Flip x and y, set custom x axis label

    +
    +
    ggplot(boxoffice, aes(amount, fct_reorder(title, amount))) +
+  geom_col() +
+  xlab("amount (in million USD)") +
+  ylab(NULL)
    +
    +
    +
    +

    +
     
    +
    +
    +
    +
    +
    +
    +
    +

    Sometimes we need to count before visualization

    + +
    +
    +

    Example: Visualize number of penguins per species

    +
    +
    +
    +
    # A tibble: 344 × 8
+   species island    bill_length_mm bill_depth_mm flipper_length_mm body_mass_g
+   <fct>   <fct>              <dbl>         <dbl>             <int>       <int>
+ 1 Adelie  Torgersen           39.1          18.7               181        3750
+ 2 Adelie  Torgersen           39.5          17.4               186        3800
+ 3 Adelie  Torgersen           40.3          18                 195        3250
+ 4 Adelie  Torgersen           NA            NA                  NA          NA
+ 5 Adelie  Torgersen           36.7          19.3               193        3450
+ 6 Adelie  Torgersen           39.3          20.6               190        3650
+ 7 Adelie  Torgersen           38.9          17.8               181        3625
+ 8 Adelie  Torgersen           39.2          19.6               195        4675
+ 9 Adelie  Torgersen           34.1          18.1               193        3475
+10 Adelie  Torgersen           42            20.2               190        4250
+# ℹ 334 more rows
+# ℹ 2 more variables: sex <fct>, year <int>
    +
    +
    +
    +

    +
    +
    +

    Use geom_bar() to count before plotting

    +
    +
    ggplot(penguins, aes(y = species)) + # no x aesthetic needed
+  geom_bar()
    +
    +
    +
    +

    +
     
    +
    +
    +
    +
    +
    +
    +

    Getting the bars into the right order

    +
    +
    +

    Option 1: Manually, using fct_relevel()

    +
    +
    ggplot(penguins, aes(y = fct_relevel(species, "Chinstrap", "Gentoo", "Adelie"))) +
+  geom_bar() +
+  ylab(NULL)
    +
    +
    +
    +

    +
     
    +
    +
    +
    +
    +
    +
    +
    +
    +

    Getting the bars into the right order

    +
    +

    Option 2: Using fct_rev() and fct_infreq() from the forcats package

    +
    +
    ggplot(penguins, aes(y = fct_rev(fct_infreq(species)))) +
+  geom_bar() +
+  ylab(NULL)
    +
    +
    +
    +

    +
     
    +
    +
    +
    +
    +
    +
    +
    +

    Display counts by species and sex

    +
    +
    +
    ggplot(penguins, aes(sex, fill = species)) +
+  geom_bar()
    +
    +
    +
    +

    +
     
    +
    +
    +
    +
    +
    +
    +
    +

    Remove missing values (NAs)

    +
    +
    +
    penguins2 <- na.omit(penguins) # remove all rows with any missing values
+
+ggplot(penguins2, aes(sex, fill = species)) +
+  geom_bar()
    +
    +
    +
    +

    +
     
    +
    +
    +
    +
    +
    +
    +
    +

    Positions define how subgroups are shown

    +
    +

    position = "dodge": Place bars for subgroups side-by-side

    +
    +
    ggplot(penguins2, aes(sex, fill = species)) +
+  geom_bar(position = "dodge")
    +
    +
    +
    +

    +
     
    +
    +
    +
    +
    +
    +
    +
    +

    Positions define how subgroups are shown

    +
    +

    position = "stack": Place bars for subgroups on top of each other

    +
    +
    ggplot(penguins2, aes(sex, fill = species)) +
+  geom_bar(position = "stack")
    +
    +
    +
    +

    +
     
    +
    +
    +
    +
    +
    +
    +
    +

    Positions define how subgroups are shown

    +
    +

    position = "fill": Like "stack", but scale to 100%

    +
    +
    ggplot(penguins2, aes(sex, fill = species)) +
+  geom_bar(position = "fill")
    +
    +
    +
    +

    +
     
    +
    +
    +
    +
    +
    + +
    +
    +

    Further reading

    +
    + +
    + +
    +
    + +
    +
    +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/_site/slides/visualizing-amounts_files/figure-revealjs/Americas-life-expect-1.svg b/_site/slides/visualizing-amounts_files/figure-revealjs/Americas-life-expect-1.svg new file mode 100644 index 0000000..18840b0 --- /dev/null +++ b/_site/slides/visualizing-amounts_files/figure-revealjs/Americas-life-expect-1.svg @@ -0,0 +1,690 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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    1. Introduction, reproducible workflows -RStudio setup online, R Markdown +RStudio setup online, Quarto 2. diff --git a/_site/worksheets/aesthetic-mappings.html b/_site/worksheets/aesthetic-mappings.html index 177fd1f..cfff61c 100644 --- a/_site/worksheets/aesthetic-mappings.html +++ b/_site/worksheets/aesthetic-mappings.html @@ -152,6 +152,10 @@
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    eyJwYWNrYWdlcyI6eyJyZXBvcyI6W10sInBrZ3MiOlsiZXZhbHVhdGUiLCJrbml0ciIsImh0bWx0b29scyIsImd0Il19LCJyZW5kZXJfZGYiOiJndC1pbnRlcmFjdGl2ZSIsIm9wdGlvbnMiOnsiYmFzZVVybCI6Imh0dHBzOi8vd2Vici5yLXdhc20ub3JnL3YwLjQuMi8ifX0=
    diff --git a/slides/Wilke-theme.scss b/slides/Wilke-theme.scss index b9e6bba..5f2300c 100644 --- a/slides/Wilke-theme.scss +++ b/slides/Wilke-theme.scss @@ -102,3 +102,11 @@ $code-block-font-size: 0.66em; /* equivalent to .tiny-font by default */ right: 0; } +.date { + font-size: 0.66em; +} + +.date:before { + content: "Last updated: "; +} + diff --git a/slides/aesthetic-mappings.qmd b/slides/aesthetic-mappings.qmd index b2845bd..ac170a1 100644 --- a/slides/aesthetic-mappings.qmd +++ b/slides/aesthetic-mappings.qmd @@ -1,12 +1,14 @@ --- title: "Aesthetic mappings" author: "Claus O. Wilke" +date: today format: revealjs: theme: - default - Wilke-theme.scss auto-stretch: false + chalkboard: true execute: fig-format: svg fig-asp: 0.618 diff --git a/slides/telling-a-story.qmd b/slides/telling-a-story.qmd index 54e03fe..549249c 100644 --- a/slides/telling-a-story.qmd +++ b/slides/telling-a-story.qmd @@ -1,12 +1,14 @@ --- title: "Telling a story" author: "Claus O. Wilke" +date: today format: revealjs: theme: - default - Wilke-theme.scss auto-stretch: false + chalkboard: true execute: fig-format: svg fig-asp: 0.618 diff --git a/slides/visualizing-amounts.qmd b/slides/visualizing-amounts.qmd new file mode 100644 index 0000000..0cb0de2 --- /dev/null +++ b/slides/visualizing-amounts.qmd @@ -0,0 +1,733 @@ +--- +title: "Visualizing amounts" +author: "Claus O. Wilke" +date: today +format: + revealjs: + theme: + - default + - Wilke-theme.scss + auto-stretch: false + chalkboard: true +execute: + fig-format: svg + fig-asp: 0.618 + fig-width: 5.5 +--- + +```{r} +#| include: false +library(tidyverse) +library(cowplot) + +# ggplot2 settings so plots scale well for slide size +theme_set(theme_gray(14)) +update_geom_defaults("point", list(size = 2)) +update_geom_defaults("line", list(linewidth = 1)) + +income_by_age <- readRDS(here::here("datasets", "income_by_age.rds")) +``` + + +## Many datasets contain simple amounts + +
    + +::: {.fragment} +Example: Highest grossing movies Dec. 2017 + +::: {.small-font} +```{r} +#| echo: false +# Data from Box Office Mojo for Dec. 22-24, 2017. +boxoffice <- tibble( + rank = 1:5, + title = c("Star Wars", "Jumanji", "Pitch Perfect 3", "Greatest Showman", "Ferdinand"), + amount = c(71.57, 36.17, 19.93, 8.81, 7.32) # million USD +) + +boxoffice |> + knitr::kable("html") +``` +::: + +::: {.absolute-bottom-right .tiny-font} +Data source: Box Office Mojo +::: +::: + +## We can visualize amounts with bar plots + +```{r} +#| label: boxoffice-vertical +#| echo: false +#| message: false +#| fig-width: 8.5 +#| fig-asp: 0.5 +#| fig-cap: " " +#| out-width: "90%" +boxoffice |> + ggplot(aes(x = fct_reorder(title, rank), y = amount)) + + geom_col(fill = "#56B4E9", width = 0.6, alpha = 0.9) + + scale_y_continuous( + expand = c(0, 0), + breaks = c(0, 20, 40, 60), + labels = c("0", "20", "40", "60"), + name = "weekend gross (million USD)" + ) + + scale_x_discrete( + name = NULL, + expand = c(0, 0.4) + ) + + coord_cartesian(clip = "off") + + theme_minimal_hgrid(12, rel_small = 1) + + theme( + axis.line.x = element_blank(), + axis.ticks.x = element_blank() + ) +``` + +## Bars can also run horizontally + +```{r} +#| label: boxoffice-horizontal +#| echo: false +#| message: false +#| fig-width: 7 +#| fig-cap: " " +#| out-width: "70%" +ggplot(boxoffice, aes(x = fct_reorder(title, desc(rank)), y = amount)) + + geom_col(fill = "#56B4E9", alpha = 0.9) + + scale_y_continuous( + limits = c(0, 75), + expand = c(0, 0), + breaks = c(0, 20, 40, 60), + labels = c("0", "20", "40", "60"), + name = "weekend gross (million USD)" + ) + + scale_x_discrete( + name = NULL, + expand = c(0, 0.5) + ) + + coord_flip(clip = "off") + + theme_minimal_vgrid(rel_small = 1) + + theme( + axis.line.y = element_blank(), + axis.ticks.y = element_blank() + ) +``` + +## Avoid rotated axis labels + +```{r} +#| label: boxoffice-rot-axis-tick-labels +#| echo: false +#| message: false +#| fig-width: 6 +#| fig-asp: 0.85 +#| fig-cap: " " +#| out-width: "60%" +p_box_axrot <- + ggplot(boxoffice, aes(x = fct_reorder(title, rank), y = amount)) + + geom_col(fill = "#56B4E9", alpha = 0.9) + + scale_y_continuous( + expand = c(0, 0), + breaks = c(0, 20, 40, 60), + labels = c("0", "20", "40", "60"), + name = "weekend gross (million USD)" + ) + + scale_x_discrete(name = NULL) + + coord_cartesian(clip = "off") + + theme_minimal_hgrid(rel_small = 1) + + theme( + axis.line.x = element_blank(), + axis.ticks.x = element_blank(), + axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1), + plot.margin = margin(3, 7, 3, 1.5) + ) + +stamp_ugly(p_box_axrot) +``` + +## Avoid rotated axis labels + +```{r} +#| label: boxoffice-horizontal2 +#| echo: false +#| message: false +#| fig-width: 7 +#| fig-cap: " " +#| out-width: "70%" +ggplot(boxoffice, aes(x = fct_reorder(title, desc(rank)), y = amount)) + + geom_col(fill = "#56B4E9", alpha = 0.9) + + scale_y_continuous( + limits = c(0, 75), + expand = c(0, 0), + breaks = c(0, 20, 40, 60), + labels = c("0", "20", "40", "60"), + name = "weekend gross (million USD)" + ) + + scale_x_discrete( + name = NULL, + expand = c(0, 0.5) + ) + + coord_flip(clip = "off") + + theme_minimal_vgrid(rel_small = 1) + + theme( + axis.line.y = element_blank(), + axis.ticks.y = element_blank() + ) +``` + +## Pay attention to the order of the bars + +```{r} +#| label: boxoffice-horizontal-unordered +#| echo: false +#| message: false +#| fig-width: 7 +#| fig-cap: " " +#| out-width: "70%" +p_box_noorder <- ggplot(boxoffice) + + aes( + x = factor(title, levels = title[c(2, 1, 5, 3, 4)]), + y = amount + ) + + geom_col(fill = "#56B4E9", alpha = 0.9) + + scale_y_continuous( + limits = c(0, 75), + expand = c(0, 0), + breaks = c(0, 20, 40, 60), + labels = c("0", "20", "40", "60"), + name = "weekend gross (million USD)" + ) + + scale_x_discrete( + name = NULL, + expand = c(0, 0.5) + ) + + coord_flip(clip = "off") + + theme_minimal_vgrid(rel_small = 1) + + theme( + axis.line.y = element_blank(), + axis.ticks.y = element_blank() + ) + +stamp_bad(p_box_noorder) +``` + +## Pay attention to the order of the bars + +```{r} +#| label: boxoffice-horizontal3 +#| echo: false +#| message: false +#| fig-width: 7 +#| fig-cap: " " +#| out-width: "70%" +ggplot(boxoffice, aes(x = fct_reorder(title, desc(rank)), y = amount)) + + geom_col(fill = "#56B4E9", alpha = 0.9) + + scale_y_continuous( + limits = c(0, 75), + expand = c(0, 0), + breaks = c(0, 20, 40, 60), + labels = c("0", "20", "40", "60"), + name = "weekend gross (million USD)" + ) + + scale_x_discrete( + name = NULL, + expand = c(0, 0.5) + ) + + coord_flip(clip = "off") + + theme_minimal_vgrid(rel_small = 1) + + theme( + axis.line.y = element_blank(), + axis.ticks.y = element_blank() + ) +``` + +## We can use dots instead of bars + +```{r} +#| label: boxoffice-dotplot +#| echo: false +#| message: false +#| fig-width: 7 +#| fig-cap: " " +#| out-width: "70%" +ggplot(boxoffice, aes(x = fct_reorder(title, desc(rank)), y = amount)) + + geom_point(color = "#0072B2", size = 4) + + scale_y_continuous( + limits = c(0, 75), + expand = c(0, 0), + breaks = c(0, 20, 40, 60), + labels = c("0", "20", "40", "60"), + name = "weekend gross (million USD)" + ) + + scale_x_discrete( + name = NULL, + expand = c(0, 0.5) + ) + + coord_flip(clip = "off") + + theme_minimal_vgrid(rel_small = 1) + + theme( + axis.line.y = element_blank(), + axis.ticks.y = element_blank() + ) +``` + +## Dots are preferable if we want to truncate the axes + +```{r} +#| label: Americas-life-expect +#| echo: false +#| message: false +#| fig-width: 6 +#| fig-asp: 0.9 +#| fig-cap: " " +#| out-width: "60%" +library(gapminder) + +df_Americas <- gapminder |> + filter(year == 2007, continent == "Americas") + +ggplot(df_Americas, aes(x = lifeExp, y = fct_reorder(country, lifeExp))) + + geom_point(color = "#0072B2", size = 3) + + scale_x_continuous( + name = "life expectancy (years)", + limits = c(59.7, 81.5), + expand = c(0, 0) + ) + + scale_y_discrete(name = NULL, expand = c(0, 0.5)) + + theme_minimal_grid(12, rel_small = 1) + + theme( + plot.margin = margin(18, 6, 3, 1.5) + ) +``` +## Dots are preferable if we want to truncate the axes + +```{r} +#| label: Americas-life-expect-bad1 +#| echo: false +#| message: false +#| fig-width: 6 +#| fig-asp: 0.9 +#| fig-cap: " " +#| out-width: "60%" +p <- ggplot(df_Americas, aes(x = lifeExp, y = fct_reorder(country, lifeExp))) + + geom_col(fill = "#56B4E9", alpha = 0.9) + + scale_x_continuous( + name = "life expectancy (years)", + expand = c(0, 0) + ) + + scale_y_discrete(name = NULL, expand = c(0, 0.5)) + + coord_cartesian(xlim = c(59.7, 81.5)) + + theme_minimal_grid(12, rel_small = 1) + + theme( + plot.margin = margin(18, 6, 3, 1.5) + ) + +stamp_bad(p) +``` + +::: {.absolute-bottom-right .small-font} +Bar lengths do
    not accurately
    represent the
    data values
      +::: + +## Dots are preferable if we want to truncate the axes + +```{r} +#| label: Americas-life-expect-bad2 +#| echo: false +#| message: false +#| fig-width: 6 +#| fig-asp: 0.9 +#| fig-cap: " " +#| out-width: "60%" +p <- ggplot(df_Americas, aes(x = lifeExp, y = fct_reorder(country, lifeExp))) + + geom_col(fill = "#56B4E9", alpha = 0.9) + + scale_x_continuous( + name = "life expectancy (years)", + expand = c(0, 0) + ) + + scale_y_discrete(name = NULL, expand = c(0, 0.5)) + + coord_cartesian(xlim = c(0, 85)) + + theme_minimal_grid(12, rel_small = 1) + + theme( + plot.margin = margin(18, 6, 3, 1.5) + ) + +stamp_bad(p) +``` + +::: {.absolute-bottom-right .small-font} +Key features
    of the data
    are obscured
      +::: + +## Dots are preferable if we want to truncate the axes + +```{r} +#| label: Americas-life-expect2 +#| echo: false +#| message: false +#| fig-width: 6 +#| fig-asp: 0.9 +#| fig-cap: " " +#| out-width: "60%" +library(gapminder) + +df_Americas <- gapminder |> + filter(year == 2007, continent == "Americas") + +ggplot(df_Americas, aes(x = lifeExp, y = fct_reorder(country, lifeExp))) + + geom_point(color = "#0072B2", size = 3) + + scale_x_continuous( + name = "life expectancy (years)", + limits = c(59.7, 81.5), + expand = c(0, 0) + ) + + scale_y_discrete(name = NULL, expand = c(0, 0.5)) + + theme_minimal_grid(12, rel_small = 1) + + theme( + plot.margin = margin(18, 6, 3, 1.5) + ) +``` + + + +# Grouped bars + +## We use grouped bars for higher-dimensional datasets + +::: {.fragment} +```{r} +#| label: income-by-age-race-dodged +#| echo: false +#| message: false +#| fig-width: 9 +#| fig-asp: 0.5 +#| fig-cap: " " +#| out-width: "95%" +# Take the darkest four colors from 5-class ColorBrewer palette "PuBu" +# colors_four <- RColorBrewer::brewer.pal(5, "PuBu")[5:2] +colors_four <- c("#045A8D", "#2B8CBE", "#74A9CF", "#BDC9E1") + +ggplot(income_by_age, aes(x = age, y = median_income, fill = race)) + + geom_col(position = "dodge", alpha = 0.9) + + scale_y_continuous( + expand = c(0, 0), + name = "median income (USD)", + breaks = c(0, 20000, 40000, 60000, 80000, 100000), + labels = c("$0", "$20,000", "$40,000", "$60,000", "$80,000", "$100,000") + ) + + scale_fill_manual(values = colors_four, name = NULL) + + coord_cartesian(clip = "off") + + xlab("age (years)") + + theme_minimal_hgrid() + + theme( + axis.line.x = element_blank(), + axis.ticks.x = element_blank() + ) +``` + +::: {.absolute-bottom-right .tiny-font} +Data source: United States Census Bureau, 2016 +::: +::: + +## We are free to choose by which variable to group + +
    + +```{r} +#| label: income-by-race-age-dodged +#| echo: false +#| message: false +#| fig-width: 8 +#| fig-asp: 0.4 +#| fig-cap: " " +#| out-width: "85%" +# Take the darkest seven colors from 8-class ColorBrewer palette "PuBu" +# colors_seven <- RColorBrewer::brewer.pal(8, "PuBu")[2:8] +colors_seven <- c("#ECE7F2", "#D0D1E6", "#A6BDDB", "#74A9CF", "#3690C0", "#0570B0", "#034E7B") + +ggplot(income_by_age, aes(x = race, y = median_income, fill = age)) + + geom_col(position = "dodge", alpha = 0.9) + + scale_y_continuous( + expand = c(0, 0), + name = "median income (USD)", + breaks = c(0, 20000, 40000, 60000, 80000, 100000), + labels = c("$0", "$20,000", "$40,000", "$60,000", "$80,000", "$100,000") + ) + + scale_fill_manual(values = colors_seven, name = "age (yrs)") + + coord_cartesian(clip = "off") + + xlab(label = NULL) + + theme_minimal_hgrid() + + theme( + axis.line.x = element_blank(), + axis.ticks.x = element_blank(), + legend.title.align = 0.5 + ) +``` + +::: {.absolute-bottom-right .tiny-font} +Data source: United States Census Bureau, 2016 +::: + +## We can also use multiple plot panels (facets) + +```{r} +#| label: income-by-age-race-faceted +#| echo: false +#| message: false +#| fig-width: 8 +#| fig-asp: 0.618 +#| fig-cap: " " +#| out-width: "85%" +ggplot(income_by_age, aes(x = age_brief, y = median_income)) + + geom_col(fill = "#56B4E9", alpha = 0.9) + + scale_y_continuous( + expand = c(0, 0), + name = "median income (USD)", + breaks = c(0, 20000, 40000, 60000, 80000, 100000), + labels = c("$0", "$20,000", "$40,000", "$60,000", "$80,000", "$100,000") + ) + + coord_cartesian(clip = "off") + + xlab(label = "age (years)") + + facet_wrap(~race, scales = "free_x") + + theme_minimal_hgrid(12) + + theme( + axis.ticks.x = element_blank(), + axis.line = element_blank(), + strip.text = element_text(size = 12), + panel.spacing.y = grid::unit(14, "pt") + ) +``` + +::: {.absolute-bottom-right .tiny-font} +Data source: United States Census Bureau, 2016 +::: + + + +# Making bar plots in **ggplot2** + +## Dataset: Highest grossing movies Dec. 2017 + +```{r} +#| echo: true +# Data from Box Office Mojo for Dec. 22-24, 2017. +boxoffice <- tibble( + rank = 1:5, + title = c( + "Star Wars", "Jumanji", "Pitch Perfect 3", + "Greatest Showman", "Ferdinand" + ), + amount = c(71.57, 36.17, 19.93, 8.81, 7.32) # million USD +) + +boxoffice +``` + +## Visualize as a bar plot + +```{r} +#| label: boxoffice-naive +#| echo: true +#| fig-width: 8 +#| fig-asp: 0.4 +#| fig-cap: " " +#| out-width: "75%" +ggplot(boxoffice, aes(title, amount)) + + geom_col() # "col" stands for column +``` + +## Order by data value + +```{r} +#| label: boxoffice-ordered +#| echo: true +#| fig-width: 8 +#| fig-asp: 0.4 +#| fig-cap: " " +#| out-width: "75%" +ggplot(boxoffice, aes(fct_reorder(title, amount), amount)) + + geom_col() # "col" stands for column +``` + +## Order by data value, descending + +```{r} +#| label: boxoffice-ordered2 +#| echo: true +#| fig-width: 8 +#| fig-asp: 0.4 +#| fig-cap: " " +#| out-width: "75%" +ggplot(boxoffice, aes(fct_reorder(title, -amount), amount)) + + geom_col() + + xlab(NULL) # remove x axis label +``` + +## Flip x and y, set custom x axis label + +```{r} +#| label: boxoffice-ordered3 +#| echo: true +#| fig-width: 5.5 +#| fig-cap: " " +#| out-width: "65%" +ggplot(boxoffice, aes(amount, fct_reorder(title, amount))) + + geom_col() + + xlab("amount (in million USD)") + + ylab(NULL) +``` + +# Sometimes we need to count before visualization + +## Example: Visualize number of penguins per species + +::: {.small-font} +```{r} +library(palmerpenguins) +penguins +``` +::: + +![](https://raw.githubusercontent.com/allisonhorst/palmerpenguins/master/man/figures/logo.png){.absolute top="0%" left="90%" width="12%"} + +## Use `geom_bar()` to count before plotting + +```{r} +#| label: penguins-bars +#| echo: true +#| fig-width: 5.5 +#| fig-cap: " " +#| out-width: "65%" +ggplot(penguins, aes(y = species)) + # no x aesthetic needed + geom_bar() +``` + +## Getting the bars into the right order + +::: {.fragment} +::: {.small-font} +Option 1: Manually, using `fct_relevel()` + +```{r} +#| label: penguins-bars2 +#| echo: true +#| fig-width: 5.5 +#| fig-cap: " " +#| out-width: "65%" +ggplot(penguins, aes(y = fct_relevel(species, "Chinstrap", "Gentoo", "Adelie"))) + + geom_bar() + + ylab(NULL) +``` +::: +::: + +## Getting the bars into the right order + +::: {.small-font} +Option 2: Using `fct_rev()` and `fct_infreq()` from the **forcats** package + +```{r} +#| label: penguins-bars3 +#| echo: true +#| fig-width: 5.5 +#| fig-cap: " " +#| out-width: "65%" +ggplot(penguins, aes(y = fct_rev(fct_infreq(species)))) + + geom_bar() + + ylab(NULL) +``` +::: + +## Display counts by species and sex + +::: {.small-font} +```{r} +#| label: penguins-sex-species +#| echo: true +#| fig-width: 5.5 +#| fig-cap: " " +#| out-width: "65%" +ggplot(penguins, aes(sex, fill = species)) + + geom_bar() +``` +::: + +## Remove missing values (`NA`s) + +::: {.small-font} +```{r} +#| label: penguins-sex-species2 +#| echo: true +#| fig-width: 5.5 +#| fig-cap: " " +#| out-width: "65%" +penguins2 <- na.omit(penguins) # remove all rows with any missing values + +ggplot(penguins2, aes(sex, fill = species)) + + geom_bar() +``` +::: + +## Positions define how subgroups are shown + +::: {.small-font} +`position = "dodge"`: Place bars for subgroups side-by-side + +```{r} +#| label: penguins-sex-species-dodge +#| echo: true +#| fig-width: 5.5 +#| fig-cap: " " +#| out-width: "65%" +ggplot(penguins2, aes(sex, fill = species)) + + geom_bar(position = "dodge") +``` +::: + +## Positions define how subgroups are shown + +::: {.small-font} +`position = "stack"`: Place bars for subgroups on top of each other + +```{r} +#| label: penguins-sex-species-stack +#| echo: true +#| fig-width: 5.5 +#| fig-cap: " " +#| out-width: "65%" +ggplot(penguins2, aes(sex, fill = species)) + + geom_bar(position = "stack") +``` +::: + +## Positions define how subgroups are shown + +::: {.small-font} +`position = "fill"`: Like `"stack"`, but scale to 100% + +```{r} +#| label: penguins-sex-species-fill +#| echo: true +#| fig-width: 5.5 +#| fig-cap: " " +#| out-width: "65%" +ggplot(penguins2, aes(sex, fill = species)) + + geom_bar(position = "fill") +``` +::: + + + +## Further reading + +::: {.small-font} +- Fundamentals of Data Visualization: [Chapter 6: Visualizing amounts](https://clauswilke.com/dataviz/visualizing-amounts.html) +- Data Visualization—A Practical Introduction: [Chapter 4.4: Geoms can transform data](https://socviz.co/groupfacettx.html#statfunctions) +- **ggplot2** reference documentation: [`geom_bar()`, `geom_col()`](https://ggplot2.tidyverse.org/reference/geom_bar.html) +- **ggplot2** reference documentation: [`position_stack()`, `position_fill()`](https://ggplot2.tidyverse.org/reference/position_stack.html) +::: \ No newline at end of file diff --git a/syllabus.qmd b/syllabus.qmd index a9b2322..8f3de61 100644 --- a/syllabus.qmd +++ b/syllabus.qmd @@ -47,7 +47,7 @@ All these books are freely available online and you do not need to purchase a ph ------------------------------------------------------------------ Class Topic Coding concepts covered ------- --------------------------- ------------------------------ -1. Introduction, reproducible RStudio setup online, R Markdown +1. Introduction, reproducible RStudio setup online, Quarto workflows 2. Aesthetic mappings **ggplot2** quickstart