🔗 You can find this repo at https://bit.ly/nicar22-pandas
We have two datasets we'll be working with: one is nice and simple and one is wild and fancy! The wild and fancy one is the same dataset that is behind this Quartz story.
If you'd like to type along on your own computer, download this repo and load up either the notebook in the simple-data or fancy-data folder.
If it's too much work to get the notebook functioning on your computer, you can use Google Colab. It can run a Jupyter notebook in the cloud! The follow-along version has you type along with me for each and every step, while the pre-filled version you just run code that's already been typed in each cell.
- Simple data: Follow-along version, pre-filled version
- Fancy data: Follow-along version, pre-filled version
If you don't enjoy doing any work at all, an alternative is to just follow along with the 100% completed versions.
- Simple data: Completed version
- Fancy data: Completed version