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https://github.com/zgana/tidytuesday

EDA on TidyTuesday datasets
https://github.com/zgana/tidytuesday

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EDA on TidyTuesday datasets

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# TidyTuesday EDA

The RForDataScience community maintains [Tidy
Tuesday](https://github.com/rfordatascience/tidytuesday), a repository
providing datasets for practicing data wrangling and analysis. I don't usually
study these datasets in great detail, but I'll try to post here whenever I get
far enough to produce at least a handful of interesting plots.

## Notebooks

* [2019-10-29: NYC Squirrel Census](https://nbviewer.jupyter.org/github/zgana/tidytuesday/blob/main/2019/2019-10-29.ipynb)
* [2019-12-03: Philly Parking Tickets](https://nbviewer.jupyter.org/github/zgana/tidytuesday/blob/main/2019/2019-12-03.ipynb)
* [2020-09-22: Himalayan Climbing Expeditions](https://nbviewer.jupyter.org/github/zgana/tidytuesday/blob/main/2020/2020-09-22.ipynb)
* [2020-11-10: Historical Phone Usage](https://nbviewer.jupyter.org/github/zgana/tidytuesday/blob/main/2020/2020-11-10.ipynb)
* [2021-02-23: Employment and Earnings](https://nbviewer.jupyter.org/github/zgana/tidytuesday/blob/main/2021/2021-02-23.jl.ipynb) (in Julia)
* [2021-03-02: Superbowl commercials](https://nbviewer.jupyter.org/github/zgana/tidytuesday/blob/main/2021/2021-03-02.ipynb)
* [2021-05-18: Ask a Manager Survey](https://nbviewer.jupyter.org/github/zgana/tidytuesday/blob/main/2021/2021-05-18-robinson.ipynb) (following [David Robinson](https://www.youtube.com/watch?v=2HpRXIpU4jI))