Jupyter Notebook for Data Analysis of Superstore Sales dataset using Pandas and Matplotlib.
- Identifying and importing essential libraries
- Data loading and overview
- Find out the per unit price from the data
- Find out the monthly revenue and analyze the findings
- Find out the yearly revenue and analyze the findings
- Finding out the monthly growth rate and analyse the findings
- Finding out the most and least sold product id
- Finding out the customer who bought most and least from us in terms of quantity
- Finding out the customer who bought most and least from us in terms of value
- Finding out the majority and minority customer cities on basis of: a) Number of customers b) Sales value
- Find out the most and least sold product category from the store a) Value based b) Quantity based
- Find out the most and least sold product sub category from the store a) Value based b) Quantity based