Concatenating multiple csvs together to create a new DataFrame using electronic sales data, adding columns prior to answer the questions like: What was the best month for sales? How much was earned that month?
After the data cleaning process (dropping NaN values from DataFrame, removing rows based on a condition, change the type of columns (to_numeric, to_datetime, astype)). Then plotting bar charts and lines graphs to visualize the results.

Project is created with:

• Pandas 0.25.1
• Matplotlib: 3.0.1