Superstore dataset analysis example

Superstore dataset analysis example. Sep 10, 2024 · The “Superstore Sales” dataset comprises several tables: Orders, Returns, and People. This tour explores the Store Sales sample in the Power BI service. Because the report experience is similar in Power BI Desktop and in the service, you can also follow along by using the sample . What is Tableau? Feb 18, 2024 · The Superstore Data Analysis Project focuses on extracting insights from a retail superstore dataset. Sales refer to the total amount of money that a business earns by selling its products or The table contains data on a sample superstore dataset with 9994 rows and 14 columns, including information on ship mode, segment, country, city, state, postal code, region, category, sub-category, sales, quantity, discount, and profit, which can be used to analyze and gain insights into various aspects of the superstore's operations and performance. Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’ Apr 27, 2022 · At the menu, connection to the dataset, data cleaning with Power Queries, Exploratory data analysis, then a bit of dashboard design. Jan 15, 2020 · An introduction to Sample SuperStore Dataset Walkthrough, Using Python and the Pandas Library, while utilizing Jupyter Notebook as the IDE. See full list on analyticsvidhya. Get the retail dataset for analytics here. Our task is to analyse the sales data and identify weak areas and opportunities for Super Store to ️ Reference links ~dashboard showcase~ Super Sample Superstore This corporate style viz is a different take on the classic Tableau Superstore data set. Nov 18, 2023 · This phase enabled me to improve the quality of data, and have better insights and decision-making from the Sample SuperStore Dataset. 0. This Notebook is running on top of the following stacks : Python 3. 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. pbix file in Power BI Desktop. The project utilizes a combination of Python, SQL, and Power BI to clean the data, perform exploratory analysis, and create interactive reports. pdf : This document offers a detailed explanation of the project, including charts and visualizations that highlight key insights derived from the Superstore dataset. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. The goal of this project is to conduct a comprehensive analysis of the Sample Superstore dataset to gain valuable insights into Sales trends and Profitability of the store and identify areas for improvement. This project focuses on analyzing the SuperStore dataset, which contains Sales and Profit data from a retail store in the United States. Using DAX and calculated columns, these analyses provided insights into various aspects of the superstore's operations. Such datasets are This is a sample superstore dataset, a kind of simulation where you perform extensive data analysis to deliver insights on how the company can increase its profits while minimizing the losses. The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. An example is provided in the dataset’s landing page. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. Jan 17, 2021 · Questions that we can ask the dataset and get answers from. A dataset containing nearly 39,000 rows of grocery purchase orders. I’ll be taking the US Superstore dataset. The dataset contains information about sales, customers, products, and orders from a fictional Super Sample Superstore This corporate style viz is a different take on the classic Tableau Superstore data set. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Practice Your Data Analysis Skills as a Superstore Data Analyst. This dataset contains the below columns. Jul 11, 2024 · New users can take advantage of the Sample datasets provided by Tableau to experiment and experience various operations and functionality offered by the platform. I took the following steps for the process of EDA: Import the data Mar 18, 2022 · In this article, we will use the superstore dataset, to analyze sales performance throughout the years and business growth opportunities both from the company and customer perspective. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. The analysis and visualizations provided in this project aim to offer stakeholders a comprehensive understanding of Global Superstore's sales data. Historical Sales Data This Tableau dashboard was created using the Sample Superstore dataset. Get the sample in one of the following ways: Get the built-in sample in the service. Sep 29, 2023 · Here are the top 10 data analysis projects in the retail sector, along with source links to free datasets you can use for your analysis: Sample SuperStore. By exploring different aspects of the dataset, users can gain valuable insights into sales patterns, shipping costs, and geographic performance. The dataset contains customer order details for a superstore over a period of four years, from 2018 to 2021 . Tableau Superstore Dataset is one such sample dataset that can be used to try out functionally pertaining to the analysis of Sales data of a business. Tableau-Superstore-Analysis-Doc. To facilitate time-based analysis, a Date Table was also created and integrated into the model. Learn more. 4 Dataset containing Sales & Profits of a Superstore Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Same day shipment if receives more discounts can trigger sales/profits. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. The dashboard is interactive and allows users to filter data by year and region, while dynamically Recommended Solutions/ Key Insights. Jul 9, 2021 · The data set contains sales, profit and geographical information of Super Store. Discounts should be based on the Sales and should not increase a particular range otherwise unnecessary disounts with low sales can witness huge losses Binders and Machines industry should be focused upon more so as to strengthen these weakened industry areas. This repository showcases the Superstore Sales Analysis project, which aims to analyze and visualize the sales data of a fictional superstore. Power Query Editing/Cleaning Analysis and Visualization Feb 18, 2023 · The data for this analysis was sourced from the Sample Superstore dataset in tableau. Data Analysis Project Using Nov 10, 2023 · Get the sample. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, and time periods. Grocery Market Basket Analysis. The sample was taken from the legendary dataset “Sample Superstore”, of a fictional Ecommerce company. Download the . The repository contains the following components: Feb 12, 2024 · This step helps one get familiar with the dataset before performing any analysis or predictions on it. Utilizing Power BI, this project delves into various aspects such as overall performance, category/sub-category analysis, sales trends, profitability, return analysis, regional May 15, 2022 · The dataset that I’ve used here is the Superstore dataset that is publicly available and everyone might be aware of. Import and… Apr 20, 2023 · The Sample Superstore dataset contains information on the sales made by the store in different regions. The data analysis was divided into sales performance analysis, product analysis, customer analysis, and region analysis. Data Tables Nov 15, 2023 · Get the dataset here. com DATA ANALYSIS AND DASHBOARD. xls: This Excel file contains the Superstore sales dataset that serves as the foundation for our analysis. 7; Pandas 1. The contributors recommend using algorithms like Apriori Algorithm to analyze the Market Basket Analysis. Let’s take a look at an example dataset and try to define its use cases. Dataset and use case presentation Data analysis : 1. pbix Sample - Superstore. Refresh. knkvqbx agzo ofpa mwtilr bsgnnotfn gpita jaaela yytw bvx ssdjd