- In this project, we have analyzed an Ecommerce store dataset from Kaggle.The data is available in 8 csv files: customers.csv, sellers.csv, order_items.csv, geolocation.csv, payments.csv, orders.csv, products.csv
- We have used python libraries like pandas, matplotlib and seaborn for data cleaning and visualization in jupyter notebook. Then the cleaned data is connected with MySQL database.
- Basic, intermediate and advanced sql queries are used to analyze the dataset
pankul7/SQL-Python-Ecommerce-Project
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