https://github.com/pmassicotte/efficient_data_manipulation_with_r
https://github.com/pmassicotte/efficient_data_manipulation_with_r
data-manipulation data-science r
Last synced: over 1 year ago
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- Host: GitHub
- URL: https://github.com/pmassicotte/efficient_data_manipulation_with_r
- Owner: PMassicotte
- Created: 2023-02-21T12:09:12.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-03-02T19:01:19.000Z (over 3 years ago)
- Last Synced: 2025-02-08T14:21:51.859Z (over 1 year ago)
- Topics: data-manipulation, data-science, r
- Language: HTML
- Homepage: https://pmassicotte.github.io/efficient_data_manipulation_with_r/
- Size: 24.6 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Efficient data manipulation with R
Teaching material for a 3 hours workshop given for the [Sentinel Nord](https://sentinellenord.ulaval.ca/en) community. The objective was to provide an introduction to efficient data manupulation with `tidyverse`.
## Outline
- **Part 1 (~ 2 hours)**
- Understand the basics of data manipulation techniques using R.
- Learn how to manipulate and transform raw data into a format suitable for analysis using `dplyr` and `tidyr`.
- **filtering**
- **grouping**, **summarizing** / **aggregating**
- **joining** data from multiple sources
- **Part 2 (~ 1 hour)**
1. Working on your own data
2. Data challenge: *SQL Murder Mystery*
## Publishing
To publish changes on gh-pages, use the following command:
```{bash}
quarto publish
```
## Ressources
### Quarto
- https://emilhvitfeldt.github.io/talk-purrr-ocrug-2023/#/creating-data.frames
- https://github.com/EmilHvitfeldt/talk-purrr-ocrug-2023/blob/main/index.qmd