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This corporate style viz is a different take on the classic Tableau Superstore data set. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause.
Dataset containing Sales & Profits of a Superstore.
This project aims to use business intelligence tool to analyse the performance of a global superstore. The outcome of this analysis will provide insights that inform strategic decisions for the continued success and refinement of the Superstore.
Mar 30, 2022 · Karpuram Dhanalakshmi Srivani 30 Mar, 2022. Beginner Data Visualization Datasets Machine Learning Python. You will learn how to run EDA and perform it on the superstore dataset by using Python and then, visualising and analysing the data.
The Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. It simulates sales data from a fictional superstore and typically includes various attributes such as product category, sales, profit, quantity sold, customer segment, region, and order date ...
Using the Superstore dataset, the goal of this machine learning project is to perform Exploratory Data Analysis (EDA) and implement clustering techniques to gain insights into customer behavior and optimize the store's operations.
This notebook is a processed version of the Global SuperStore dataset.
