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Exploratory Data Analysis on Super Store mart using Python. Case study for The Sparks Foundation internship July 2021.

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The Sparks Foundation

Data Science and Business Analytics Internship

Exploratory Data Analysis on Super Store

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Background

Super Store is a small retail business located in the United States. They sell Furniture, Office Supplies and Technology products and their customers are the mass Consumer, Corporate and Home Offices. The data set contains sales, profit and geographical information of individual orders.

Business Task

Analyse sales data and determine weak areas and opportunities to boost business growth.

Business Questions

  • Which Category is Best Selling and Most Profitable?
  • What are the Best Selling and Most Profitable Sub-Category?
  • Which is the Top Selling Sub-Category?
  • Which Customer Segment is Most Profitable?
  • Which is the Preferred Ship Mode?
  • Which Region is the Most Profitable?
  • Which City has the Highest Number of Sales?

Tools

Python for Data Cleaning, Data Transformation, Data Visualisation and Data Analysis

Data Set

The data set is publicly available on Kaggle.

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Exploratory Data Analysis on Super Store mart using Python. Case study for The Sparks Foundation internship July 2021.

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