1.improve the customer experince by analysis the data
2.improve the revenue
Married women age group 26-35 yrs from UP, Maharastra and Karnataka working in IT, Healthcare and Aviation are more likely to buy products from Food, Clothing and Electronics category
This project aims to conduct an exploratory data analysis (EDA) on two datasets pertaining to diwali sales using Python programming language and its data analysis libraries such as Pandas, Matplotlib, Seaborn, Numoy, Plotly Express and Plotly Subplots.