Pandas Breakdown of Video Game Sales
Using the Pandas Python library inside a Jupyter Notebook, a report yielding the following is generated in order to produce meaningful insights:
Player counts and purchasing analysis of their totals
Purchase analysis of unique items
Gender demographics
Age demographics
Top spenders
Most popular items
Most profitable items
Results are displayed in corresponding Data Frames as well as a list of business insights extracted from the data.