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update docs version 2.6.2
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mdancho84 committed Nov 15, 2021
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5 changes: 3 additions & 2 deletions README.Rmd
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Expand Up @@ -26,7 +26,7 @@ devtools::load_all()
[![R-CMD-check](https://github.com/business-science/timetk/workflows/R-CMD-check/badge.svg)](https://github.com/business-science/timetk/actions)
[![codecov](https://codecov.io/gh/business-science/timetk/branch/master/graph/badge.svg)](https://app.codecov.io/gh/business-science/timetk)

> Visualize, wrangle, and transform time series data using the `tidyverse`
> Time series analysis using the `tidyverse`

## Installation
Expand Down Expand Up @@ -61,14 +61,15 @@ There are _many_ R packages for working with Time Series data. Here's how `timet
| Static Plots (ggplot) || :x: || :x: |
| [Time Series](https://business-science.github.io/timetk/articles/TK04_Plotting_Time_Series.html) || :x: || :x: |
| [Correlation, Seasonality](https://business-science.github.io/timetk/articles/TK05_Plotting_Seasonality_and_Correlation.html) || :x: || :x: |
| [Anomaly Detection](https://business-science.github.io/timetk/articles/TK08_Automatic_Anomaly_Detection.html) || :x: | :x: | :x: |
| [__Data Wrangling__](https://business-science.github.io/timetk/articles/TK07_Time_Series_Data_Wrangling.html) | | | | |
| Time-Based Summarization || :x: | :x: ||
| Time-Based Filtering || :x: | :x: ||
| Padding Gaps ||| :x: | :x: |
| Low to High Frequency || :x: | :x: | :x: |
| Imputation ||| :x: | :x: |
| Sliding / Rolling ||| :x: ||
| __Machine Learning__ | | | | |
| [Anomaly Detection](https://business-science.github.io/timetk/articles/TK08_Automatic_Anomaly_Detection.html) || :x: | :x: | :x: |
| [__Feature Engineering (recipes)__](https://business-science.github.io/timetk/articles/TK03_Forecasting_Using_Time_Series_Signature.html) | | | | |
| Date Feature Engineering || :x: | :x: | :x: |
| Holiday Feature Engineering || :x: | :x: | :x: |
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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -11,8 +11,7 @@
[![R-CMD-check](https://github.com/business-science/timetk/workflows/R-CMD-check/badge.svg)](https://github.com/business-science/timetk/actions)
[![codecov](https://codecov.io/gh/business-science/timetk/branch/master/graph/badge.svg)](https://app.codecov.io/gh/business-science/timetk)

> Visualize, wrangle, and transform time series data using the
> `tidyverse`
> Time series analysis using the `tidyverse`
## Installation

Expand Down Expand Up @@ -46,14 +45,15 @@ data frames or tibbles).
| Static Plots (ggplot) || :x: || :x: |
| [Time Series](https://business-science.github.io/timetk/articles/TK04_Plotting_Time_Series.html) || :x: || :x: |
| [Correlation, Seasonality](https://business-science.github.io/timetk/articles/TK05_Plotting_Seasonality_and_Correlation.html) || :x: || :x: |
| [Anomaly Detection](https://business-science.github.io/timetk/articles/TK08_Automatic_Anomaly_Detection.html) || :x: | :x: | :x: |
| [**Data Wrangling**](https://business-science.github.io/timetk/articles/TK07_Time_Series_Data_Wrangling.html) | | | | |
| Time-Based Summarization || :x: | :x: ||
| Time-Based Filtering || :x: | :x: ||
| Padding Gaps ||| :x: | :x: |
| Low to High Frequency || :x: | :x: | :x: |
| Imputation ||| :x: | :x: |
| Sliding / Rolling ||| :x: ||
| **Machine Learning** | | | | |
| [Anomaly Detection](https://business-science.github.io/timetk/articles/TK08_Automatic_Anomaly_Detection.html) || :x: | :x: | :x: |
| [**Feature Engineering (recipes)**](https://business-science.github.io/timetk/articles/TK03_Forecasting_Using_Time_Series_Signature.html) | | | | |
| Date Feature Engineering || :x: | :x: | :x: |
| Holiday Feature Engineering || :x: | :x: | :x: |
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6 changes: 3 additions & 3 deletions _pkgdown.yml
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Expand Up @@ -18,8 +18,6 @@ navbar:
href: articles/TK04_Plotting_Time_Series.html
- text: "Plotting Seasonality and Correlation"
href: articles/TK05_Plotting_Seasonality_and_Correlation.html
- text: "Automatic Anomaly Detection"
href: articles/TK08_Automatic_Anomaly_Detection.html
- text: '---'
- text: 'Data Wrangling'
- text: "Time Series Data Wrangling"
Expand All @@ -28,6 +26,8 @@ navbar:
- text: "Machine Learning"
- text: "Time Series Machine Learning"
href: articles/TK03_Forecasting_Using_Time_Series_Signature.html
- text: "Anomaly Detection"
href: articles/TK08_Automatic_Anomaly_Detection.html
- text: '---'
- text: 'Time Series Fundamentals'
- text: "What is the Time Series Signature?"
Expand All @@ -38,7 +38,7 @@ navbar:
- text: "Sequences & Data Structures"
- text: "Intelligent Date & Time Sequences"
href: articles/TK02_Time_Series_Date_Sequences.html
- text: "Time Series Conversion (ts, zoo, & xts)"
- text: "Time Series Class Conversion (tbl, ts, zoo, & xts)"
href: articles/TK00_Time_Series_Coercion.html
- text: "API"
href: reference/index.html
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12 changes: 6 additions & 6 deletions docs/404.html

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20 changes: 10 additions & 10 deletions docs/articles/TK00_Time_Series_Coercion.html

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