Sales Analysis
ML/Analysis Techniques
- Data analysis
Libraries/tools
- Python
- Pandas
- Matplotlib/seaborn
- Itertools
- OS
Overview
For this personal project, I worked with a dataset containing over 180,000 observations of an electronic store's sales data to answer some critical business questions. The analysis for this mini-project was conducted using Python and mainly the Pandas library.
The questions answered ranged from simple, i.e. "what's the best month for sales?" and "what city had the most sales?", to more advanced including "what is the best time to display an each for each city?", "which products are most often sold together?", and more.
