In this project, I utilized the power of Python and various libraries such as Pandas, NumPy, Matplotlib, and Seaborn to conduct an in-depth analysis of Diwali sales data.
📶 Objective:
The main objective of this project is to analyze the data on Diwali sales and provide valuable insights from it.
Tools Used - #jupyternotebook #googlecolab
Procedure Followed:
✅ Import required libraries
✅ Import the CSV format data
✅ Load data & Read the Data
✅ Removed unnecessary columns
✅ Data Cleaning
✅ Conducted Exploratory Data Analysis (EDA)
✅ Data Analysis
✅ Final Conclusion
🚀 Insights :
📌 Most of the buyers are females and also females purchase more than men
📌 Mostly the buyers are coming from the age group 26-35 years
📌 Maximum orders & total sales/amount are from Uttar Pradesh, Maharashtra, and Karnataka respectively.
📌 Most buyers are married (women) and they have high purchasing power
📌 Maximum buyers are working in the IT, Healthcare, and Aviation sector
📌 Highest number of sold products are from Food, Clothing, and Electronics categories.