THROATED Product Product Product

GitHub Repo https://github.com/daniloschin/superstore_sales

daniloschin/superstore_sales

With growing demands and cut-throat competitions in the market, a Superstore Giant is seeking your knowledge in understanding what works best for them. They would like to understand which products, regions, categories and customer segments they should target or avoid.

GitHub Repo https://github.com/Abdullah182155/Superstore-

Abdullah182155/Superstore-

With growing demands and cut-throat competitions in the market, a Superstore Giant is seeking your knowledge in understanding what works best for them. They would like to understand which products, regions, categories and customer segments they should target or avoid.

GitHub Repo https://github.com/secret-coder489/ENT-Products-Website-Medical-

secret-coder489/ENT-Products-Website-Medical-

This is a ENT(ear,nose,throat) instruments website.

GitHub Repo https://github.com/satriopino/Superstore-Giant-Visualization-with-ShinyDashboard

satriopino/Superstore-Giant-Visualization-with-ShinyDashboard

About Dataset Context With growing demands and cut-throat competitions in the market, a Superstore Giant is seeking your knowledge in understanding what works best for them. They would like to understand which products, regions, categories and customer segments they should target or avoid. You can even take this a step further and try and build a Regression model to predict Sales or Profit. Go crazy with the dataset, but also make sure to provide some business insights to improve. Metadata Row ID => Unique ID for each row. Order ID => Unique Order ID for each Customer. Order Date => Order Date of the product. Ship Date => Shipping Date of the Product. Ship Mode=> Shipping Mode specified by the Customer. Customer ID => Unique ID to identify each Customer. Customer Name => Name of the Customer. Segment => The segment where the Customer belongs. Country => Country of residence of the Customer. City => City of residence of of the Customer. State => State of residence of the Customer. Postal Code => Postal Code of every Customer. Region => Region where the Customer belong. Product ID => Unique ID of the Product. Category => Category of the product ordered. Sub-Category => Sub-Category of the product ordered. Product Name => Name of the Product Sales => Sales of the Product. Quantity => Quantity of the Product. Discount => Discount provided. Profit => Profit/Loss incurred. Acknowledgements I do not own this data. I merely found it from the Tableau website. All credits to the original authors/creators. For educational purposes only.

GitHub Repo https://github.com/W-Nyawira/Superstore-SQL-Analysis

W-Nyawira/Superstore-SQL-Analysis

Superstore operates in the cut throat retail industry. This analysis aims to help superstore identify top performing products, customers, and locations between 2014 and 2017 to influence ad spend, inventory management, labour management, and demand forecasting.

GitHub Repo https://github.com/NeneTech/Githubp

NeneTech/Githubp

With growing demands and cut-throat competition in the market, a Superstore Giant is seeking your knowledge in understanding what works best for them. They would like to understand which products, regions, categories and customer segments they should target or avoid.

GitHub Repo https://github.com/murungiallan/Superstore-Sales-Analytics

murungiallan/Superstore-Sales-Analytics

With growing demands and cut-throat competitions in the market, a Superstore Giant is seeking your knowledge in understanding what works best for them. They would like to understand which products, regions, categories and customer segments they should target or avoid.

GitHub Repo https://github.com/beharapavankumar/E-Commerce-Analysis

beharapavankumar/E-Commerce-Analysis

With growing demands and cut-throat competitions in the market, a Superstore Giant is seeking knowledge in understanding what works best for them. They would like to understand which products, regions, categories and customer segments they should target or avoid.

GitHub Repo https://github.com/Munachi-Queen/Superstore-Sales-Dashboard

Munachi-Queen/Superstore-Sales-Dashboard

With growing demands and cut-throat competition in the market, the store is seeking knowledge in understanding what works best for them. They would like to understand which products, regions, categories, and customer segments they should target or avoid.

GitHub Repo https://github.com/sahil07codac/sales-exl-

sahil07codac/sales-exl-

Context With growing demands and cut-throat competitions in the market, a Superstore Giantwould like to understand which products, regions, categories and customer segments they should target or avoid.