v0.2.0

GWalkR has officially introduced a new feature that leverages DuckDB for powerful computations. You can now interactively aggregate and visualize millions of data points in under one second!

To enable this feature, use gwalkr(df, kernelComputation = TRUE).

Here is a tutorial with a demo.

v0.2.0-alpha

GWalkR has introduced a major experimental feature that leverages DuckDB for powerful computations. You can now interactively aggregate and visualize millions of data points in under one second!

To enable this feature, use gwalkr(df, kernelComputation = TRUE).

It's not on CRAN, so please download the package here and use devtools::install_local({PATH}) to install the package.

We welcome all comments and suggestions!

v0.1.5

• chore: upgrade graphic-walker to 0.4.70
• feat: new param toolbarExclude to specify tools to be excluded
• docs: add instruction for dev
• bump version to 0.1.5

v0.1.4

Features:

• upgrade graphic-walker to 0.4.61.
  • more visually appealing UI
  • data overview when loading data frame
  • data painter to brush data for infinite possibilities of analysis

v0.1.3

Features:

• upgrade graphic-walker to 0.4.13.
  • support datetime drill up/down
  • better binning config
  • experimental feature: interpret data
• support importing & exporting the chart config using json file: a new param visConfigFile is added

Fixes:

• #10 customize dark mode: a new param dark is added to indicate light/dark mode

Docs:

• add CRAN source -- more convenient installation!!

v0.1.2

Features:

• upgrade graphic-walker to 0.4.3. More visualizations (maps, expandable pivot table) and more configurations (limit, facet)!

Fixes:

• issue #6
• issue #7

Docs:

• add an example for the Rmarkdown webpage

Others 🚀:

• It is officially on CRAN now! Install by simply running install.packages("GWalkR")

v0.1.1

Fix

• add an encoder & decoder to the unique fid in the data frame
• beautify the docs

Feature

• visConfig param to reproduce charts, which is useful for R markdown📝 and shiny✨
• columnSpecs param to specify column type in a data frame.

Here is a video showing the power of using visConfig: you can share your data insights with explorable charts to others in an html file, generated by R Markdown!

GWalkR_html_share.mp4

preview: have a try with GWalkR 0.1.0

Merge pull request #1 from Bruceshark/main

init GWalkR