flatiron-school / ds-central_limit_theorem

ds-central_limit_theorem

This repository describes statistical sampling, the Central Limit Theorem, and their use in data science. It was created with love by the Flatiron School.

ds-central_limit_theorem's Issues

File for "Bike Example" is tied to local file

The CSV for the "Bike Example" section is tied to a local file not present in the repository. A few solutions exist to make this more accessible:

1. Add data file to repo and refer to the local file to create the DataFrame
2. Add data file to repo and refer to the file via URL to create the DataFrame
3. Refer to file's URL and load directly from source

The advantages for Solution 1 is that the file is constant and will be found locally after the repo is cloned (should feel familiar to students). However, the file might not be easily accessed if using a cloud-based environments like Colab or Kaggle notebooks.

The advantage for Solution 2 is that the process will be relatively familiar to students and the data file will be accessible to cloud-based environments. However, it does rely on having an internet connection.

The advantage for Solution 3 is no file has to be hosted and can teach the students a new way to read in data for a DataFrame. However, it might not be as obvious as what is being done to novice students and still relies on having an internet connection.