In this Retail Dataset We use Jupyter notebook, we perform Exploratory Data Analysis of the huge Sales data by following the tasks mentioned below. We try to answer the following set of real-world business questions to draw insights from this huge Sales dataset.Using different python libraries to perform data cleaning and exploratory data analysis on retail dataset.

The dataset contains 1 CSV files containing sales details for the 36 months from year 2011 to 2013. The file contains around 32041 rows and 17 columns. The columns are as follows:
OrderNumber, ProductName, Color, Category, SubCategory, ListPrice, Orderdate,Duedate,Shipdate,PromotionName,SalesRegion,OrderQuantity,UnitPrice,SalesAmount,DiscountAmount,TaxAmount,Freight

• Jupyter Notebook
• Pandas
• Matplotlib
• numpy
• seaborn
• math