Using python tools for analysis of annual sale of a firm.
- Installing Jupyter Notebook: https://jupyter.readthedocs.io/en/latest/install.html
- Using Google colab: https://colab.research.google.com/#create=true
In this project we use Jupyter notebook to analyze and answer questions about 12 months worth of sales data of a firm. The data contains hundreds of thousands of electronics store purchases broken down by month, product type, cost, purchase address, etc.
- What was the best month for sales? How much was earned that month?
- What city sold the most product?
- What time should we display advertisemens to maximize the likelihood of customer’s buying product?
- What products are most often sold together?
- What product sold the most? Why do you think it sold the most?
Final project submission for Data analysis internship & training at shapeAi
