https://github.com/dime-worldbank/data_analysis_tidyverse
https://github.com/dime-worldbank/data_analysis_tidyverse
Last synced: 4 months ago
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- Host: GitHub
- URL: https://github.com/dime-worldbank/data_analysis_tidyverse
- Owner: dime-worldbank
- Created: 2023-12-05T18:24:41.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-12-07T13:44:20.000Z (over 1 year ago)
- Last Synced: 2025-01-06T17:51:10.403Z (6 months ago)
- Language: CSS
- Size: 5.65 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Tidyverse Presentation by DIME Analytics
This repository contains the materials for a presentation on the `tidyverse`, provided by DIME Analytics. The `tidyverse` is a collection of R packages designed for data science that makes it easier to import, tidy, transform, visualize, and model data. This presentation was largely inspired by the works of Florian Oswald and Mylene Feuillade.
## Presentation Workflow
The presentation walks through the tidy data workflow, demonstrating the use of `tidyr` and `dplyr` for data manipulation and `ggplot2` for data visualization. Each step is clearly explained with examples and the rationale behind each action.
The presentation follows the following structure.
#### Table of Contents
1. Introduction
2. Tidy Workflow
3. Tidy Verbs
4. Data Visualization
5. Conclusion and References
## Example Scripts
You can find the R scripts used for the examples shown in the presentation in the `example` folder. These scripts provide a hands-on approach to understand how `tidyverse` functions can be applied to real-world data.
## Resources
The presentation draws upon a wealth of resources:
- The original slides by Florian Oswald and Mylene Feuillade are available [here](https://raw.githack.com/ScPoEcon/ScPoEconometrics-Slides/master/chapter_tidy_programming/chapter_tidy.html#2) and the GitHub repository [here](https://github.com/mylenefeuillade/ScPoEconometrics-Slides/blob/master/chapter_tidy).
- Hadley Wickham's chapter on data transformation is a must-read for anyone working with `tidyverse`. Access the chapter [here](https://r4ds.had.co.nz/transform.html).
- The dplyr cheatsheet can be found [here](https://github.com/rstudio/cheatsheets/blob/master/data-transformation.pdf) and the tidyr cheatsheet [here](https://github.com/rstudio/cheatsheets/blob/main/tidyr.pdf).
- A gentle introduction to ggplot2 by Garrick Aden-Buie is available [here](https://pkg.garrickadenbuie.com/gentle-ggplot2/#1).
- For a variety of examples and inspiration, visit the R Graph Gallery [here](https://r-graph-gallery.com/).
- For more illustrations and understanding, check out the work by Allison Horst [here](https://allisonhorst.com/r-packages-functions)
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We hope you find this presentation helpful for your journey into the world of R and the `tidyverse`. Happy coding!