Using the Colorado state business entity data we looked into the number, and location, of businesses that were reported closed, delinquent, or no longer in good standing with the state. We observed that there was not a large disparity in the percentage of closures compared to previous years overall, but there were specific locations that suffered more than others.
Requirements to run the notebook are stored in requirements.txt
numpy
pandas
plotly
matplotlib
scikit-learn
Installation:
pip install -r requirements.txt
The jupyter notebook shows the complete methodology of the project for analyzing the dataset as well as visualizations and explanations
Heatmap of business closures across the city of Denver
Raw number of businesses closed during the year
Percentage of the businesses operating that closure during the respective year
The average number of years a business was operating before shutting down