https://github.com/m-clark/exploratory-data-analysis-tools
A survey of tools that make EDA more automated.
https://github.com/m-clark/exploratory-data-analysis-tools
eda exploratory-data-analysis r
Last synced: about 1 month ago
JSON representation
A survey of tools that make EDA more automated.
- Host: GitHub
- URL: https://github.com/m-clark/exploratory-data-analysis-tools
- Owner: m-clark
- License: cc-by-sa-4.0
- Created: 2020-06-29T15:29:57.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2020-07-23T16:13:22.000Z (almost 6 years ago)
- Last Synced: 2025-07-10T23:57:44.823Z (10 months ago)
- Topics: eda, exploratory-data-analysis, r
- Language: R
- Homepage: https://m-clark.github.io/exploratory-data-analysis-tools/
- Size: 16 MB
- Stars: 20
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
- License: LICENSE.md
Awesome Lists containing this project
README
---
output:
github_document:
# toc: true
---
```{r setup, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = NA,
fig.path = "man/figures/README-",
out.width = "100%"
)
```
## Exploratory Data Analysis
This is workshop content for exploratory data analysis. The inspiration is the following article:
Staniak & Biecek (2019). The Landscape of R Packages for Automated Exploratory Data Analysis. R Journal. ([link](https://journal.r-project.org/archive/2019/RJ-2019-033/index.html))
I was curious about some of these tools for my own use and thought I'd make a workshop out of it. The workshop itself will mostly be demonstration, allowing the participants to run the code alongside me. The website is at: https://m-clark.github.io/exploratory-data-analysis-tools/