These files support the Exploratory Data Analysis with Python tutorial, which can be found here. https://librarybeales.github.io/Exploratory_Data_Analysis. This tutorial is part of a the CWRU Digital Scholarship Workshop Series. You can find a directory of the currently available tutorials here: https://librarybeales.github.io/dsworkshops/
If you do not want use the cloud options for running the lessons, you can clone the repo and run it locally in an IDE like Visual Studio Code.
VS Code has an excellent tutorial for getting started with Python in VS Code. Getting Started with Python in VS Code
See also the list of [contributors](https://github.com/LibraryBeales/WORKSHOP TITLE/contributors) who participated in this project.
This project is licensed under the [MIT License](https://github.com/LibraryBeales/WORKSHOP TITLE/blob/main/LICENSE) See the [LICENSE](https://github.com/LibraryBeales/WORKSHOP TITLE/blob/main/LICENSE) file for details.
Thank you to all my colleagues and students at CWRU for their help in proofing and refining these materials.