Library Services Contributing to Institutional Success Python Code

Python code hosted in a Jupyter Notebook file (.ipynb) that investigates version 7 of Szkirpan's R1 Library Data Code from July 2024 using data visualizations, correlation matrices, and regression analytics. This is the fourth and final version of code used for this project. Version 1 of the code was abandoned due to a number formatting issue in the raw dataset (version 6 of the dataset). Version 6 of the dataset was revised as version 7 with correctly-formatted numbers before the data was reimported into the second version of Python code. The second version of the code utilized data visualizations, correlation matrices, and regression analysis to delve into relationships amongst the dataset. However, due to a coding error, dummy variables were incorrectly recategorized as dummy variables within Python, resulting in erroneous columns. The third version of the code created an additional correlation matrix that removed all dummy variables to analyze the relationship between numerical-only columns. The second version of the code was revised to fix the dummy variable issue and combined with the third version of the code, resulting in the fourth and final version of the code. Version 4 of the code is available within this dataverse as 20240809_Szkirpan_LibraryServicesCode.ipynb. Versions 1-3 are not available to researchers and are stored in a password-protected file as they are draft code and do not feed into final analyses.