Global superstore dataset. Ship In this article I will describe the analysis process I conducted using a Global Superstore’s dataset. - lijesh010/GlobalSuperstoreSalesAnalysis Aima, Thanks for posting the link to the Returns file. 1. Here, I uncovered the symphony of global commerce through data analysis. Using Global Superstore, identify the Sub-Categories where Top 20 Customers that have Sales more than the other Sub-Categories in the same Region. We then proceed to forecast the Sales of the Superstore for the next year on a monthly basis using . The software I used are SQL server and Power BI. A Line Chart showing the sales by month. The Discover actionable insights with this Power BI dashboard on the Global Superstore dataset. Using the Order worksheet from the Global Superstore dataset, design a dashboard with the following 4 components. xlsx onto my desktop. This includes the state, region, order date, shipping date, product ordered etc. Reload to refresh your session. Using Business Intelligence tool Tableau the Global Superstore Story has been The Global Superstore Sales Analysis repository showcases a comprehensive Power BI dashboard that provides valuable insights into sales performance. 2. pbix - PowerBI Dashboard file Global-Superstore---PowerBI-Sales-Snapshot. Although this dataset is primarily for This project contains sql statements that includes the process of Data Warehousing and Data Mining - yannie28/Global-Superstore Global-Superstore---PowerBI-Sales-Dashboard. The global superstore is a fictitious company that specializes in the sales of office supplies, furniture, and products of technology. Its users can view both hig Global Superstore Data Visualization Using Tableau Topics dashboard data-visualization data-analysis tableau superstore profit-loss product-performance executive-overview Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. This is how my dataset looks like. Power BI dashboards can be a helpfull tool to provide insights into sales performance and trends of an organization. We also wrote a homework assignment with detailed solutions. New Store Policy. You signed out in another tab or window. The interactive map highlights geographic sales distribution, while slicers enable targeted time period & KPI selection for data Becoming really familiar with the structure and content of the superstore dataset is like learning the Rosetta Stone of Tableau. I have attached the data set below for the above questions. Superstores industry comprises of companies that operateby having large size spaces which store and supply large amounts of goods. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. I'm not sure what advantages led to changing the data table but From where to Download "Global Superstore 2016. It encompasses a wide range of information and three tables that provide insights into the Global Superstore is a global online retailer based in New York, boasting a broad product catalogue and aiming to be a one-stop-shop for its customers. The dashboard should include key metrics such as total sales, sales by product, sales by location, sales by customer segment, Analysis of the Global Superstore dataset using Power BI. html in your browser to view the visualization. Dataset and use case presentation Data analysis : 1. This rich dataset enables analysts to perform a wide range of analyses, including: The Global Superstore Dataset contains a vast array of records, capturing sales, orders, and customer information from various regions and product categories. Visualizations and insights are included to aid decision-making. This project is designed to The Global Superstore dataset provides a comprehensive glimpse into the retail landscape, encapsulated within an extensive Excel file featuring three distinct sheets: ‘Orders,’ ‘People The case includes three detailed tutorials that can be used by instructors in the classroom to introduce students to Tableau in the context of retail strategy and operations (using the Global Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. From sales trends to geographical patterns, this Power BI dashboard brings data to life, offering a dynamic and #PowerBI #DataVisualization #DashboardDesign #BusinessIntelligence #RetailAnalytics #GlobalSuperstore #DataAnalysis #PowerBITutorial #DataInsights #Interacti Exploring Worldwide Retail Trends: Global Superstore Dataset. The description of data is as follows: "Global Superstore is a customer-centric dataset, which has the data of all the Overview: The Global Superstore dataset serves as the canvas for our exploration. Consumer and product Analytics on Global Super Store Data. Kamireddy An Interactive Dashboard using Power Desktop on Global Superstore Dataset collected from Kaggle. global super store analysis & prediction. Something went wrong and this page crashed! If the issue Product Categories and Sales Distribution: The Global SuperStore dataset highlights three primary product categories — Furniture, Office Supplies, and Technology. Kaggle uses cookies from Google to 158 votes, 17 comments. Dataset containing Sales & Profits of a Superstore Dataset containing Sales & Profits of a Superstore. OK, Got it. Expand Post. This notebook is a processed version of the Global SuperStore dataset. Explore and run machine learning code with Kaggle Notebooks | Using data from Global Superstore Dataset. Let’s dive into the insights The Global Superstore dataset is a popular sample dataset often used for data analysis and visualization exercises. This project focuses on identifying profitable and unprofitable products and regions, assessing shipping costs and discounts, and generating actionable insights for management. 📊 Project Overview This project involves cleaning and exploring the Global Superstore dataset using SQL to extract key insights. The Global Superstore dataset is a comprehensive collection of sales data from a global retail chain. All the material can be found here. Import and The dataset includes retail store transactions for a global superstore at various levels of granularity- City, Region, Country, Product, Category etc. All the official Tableau help guides are based on this as it’s of of the most common data sources structures, works with every function in the tool, and is the cleanest you’ll ever see. 3)Using Global Superstore, identify the Regions where Top 20 Customers that have overall Profit Ratio (Profit as % of Sales) which is double the Profit Ratio of other Customers in the Region. Dive into dynamic visualizations for sales, profit, and quantity across regions, categories, and customer segments. This tutorial video is hands on tableau demo on how to create interactive dashboard on sample superstore dataset. Datasets are available for free download in spreadsheet, KML, or shapefile format. Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Dataset. Notably, the Technology 🌍 Global Superstore Data Cleaning and Exploration. xlsx" data source file to work on tableau desktop ? Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. We are going to create 7 datasets from this one big dataset. It generally includes the following key fields: Order ID: Unique identifier for each order. It is designed to help stakeholders make informed decisions based on the data from the Global Superstore. In this article I will describe the analysis process I conducted using a Global Superstore’s dataset. Connecting Database with Power BI Desktop; Analyzing the tables and relations You signed in with another tab or window. Global Foods Market is committed to bringing St. Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. This Power BI dashboard comprehensively analyses the Global Superstore dataset, offering insights into sales, profits, and other key metrics. Before analyzing the data the quality of the data has been checked using python. The Technology category and Phones subcategory lead in sales, while This Tableau dashboard was created using the Sample Superstore dataset. Order Date: Date when the order was placed. This Power BI report offers an in-depth analysis of the Global Superstore dataset, covering three key areas:. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, and time periods. The Global Superstore Sales Analysis repository showcases a comprehensive Power BI dashboard that provides valuable insights into sales performance. In this project I will describe the analysis process I conducted using a Global Superstore’s dataset. The visualization is a Tableau Story, so view the story points by clicking on the captions provided at the top of the visualization. You signed in with another tab or window. By Global This notebook is a processed version of the Global SuperStore dataset. com . The software I used is Power BI. The SuperStore Database Management Project (DBMD) is a comprehensive solution designed to streamline and optimize the operations of an e-commerce business. The data covers an extensive time period, providing insights into the retail business's performance and trends over time. The Technology category and Phones UMSL Faculty Works and Datasets Institutional Research at the University of Missouri-St. This project focuses on creating a robust database management system that facilitates efficient handling of various aspects of an online store, from product inventory to customer orders. This article is structured in 4 main parts. It includes various visualizations to help stakeholders analyze and The Global Superstore Sales Analysis repository showcases a comprehensive Power BI dashboard that provides valuable insights into sales performance. xl spread sheet to download . I downloaded the Global Superstore Orders 2016. Join me on a journey through 72 countries, 359 orders, and a staggering $625,561 in sales. The dashboard is interactive and allows users to The dataset of Global Superstore typically includes information such as customer demographics, product details, sales transactions, shipping details, and geographic information. Find and download the Excel file of Superstore Sales data used in Tableau tutorials and videos. Below is the final PowerBI Dashboard. => 4 Sale datasets (I am going to split them into 5 different dataset like 2014–2015–2016–2017 The Global Superstore dataset consist of 20 columns and 51,281 rows. - BismaYB/Global-super-store-Sales-Analysis This repository contains a comprehensive data analysis and visualization project using Power BI, focusing on the Global Superstore dataset. 3. The Power BI report provides detailed visualizations to help stakeholders understand performance trends and optimize business strategies. Louis Providing data about the campus and analytical services to academic and Data pertains to environment, land records, utilities, base layers, and planning. See answers and comments from Tableau users and experts on data license, format, and availability. Explore insightful dashboards, charts, and graphs that provide deep insights into sales trends, product performance, regional analysis, and more. - 2)Using Global Superstore, identify the Sub-Categories where Top 20 Customers that have Sales more than the other Sub-Categories in the same Region. Download and open the Power BI file (Global At the menu, connection to the dataset, data cleaning with Power Queries, Exploratory data analysis, then a bit of dashboard design. The data comprises sales data for three product categories: Furniture, Office Supplies, and Technology 3. The case includes three detailed tutorials that can be used by instructors in the classroom to introduce students to Tableau in the context of retail strategy and operations (using the Global Superstore dataset that is made available with Tableau). Strategic users can use it to quickly check KPIs with respect to different attributes. This project is designed to present key information and trends to stakeholders, enabling informed decision-making. true Exploring Worldwide Retail Trends: Global Superstore Dataset. The description of data is as follows: "Global Superstore is a customer-centric dataset, which has the data of all the Open the file Global_Superstore_Sales_Story. png - PowerBI Dashboard snapshot/screen capture The dashboard is published at the following link on Microsoft PowerBI Workspace: This is a practice project which I did to polish up my Excel skills. You switched accounts on another tab or window. Learn more. xlsx" file on websites that offer datasets and resources for analysis or research purposes. Where can I find the global super store. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. - ogochukwu/Global-Superstore-Analysis The dataset used for this project includes sales transactions from a global superstore, covering metrics like order quantity, sales, profit, and customer demographics. It is a dataset of a restaurant. 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 This is a practice project which I did to polish up my Excel skills. This dataset represents a fictitious retail store with a global footprint, providing insights into various aspects of its business operations, such as sales, profits, customer demographics, and regional You can try searching for the "Global Superstore 2017. The dataset covers sales, customer segments, regional data, and more, allowing for in-depth analysis of store performance and customer trends. While this file is very helpful, it appears that the "Global Superstore" data table used in the Getting Started tutorial video contains a variable (Market - see the tutorial screenshot below) that is not in the newer "Sample - Superstore" table included with Tableau 2018. The data has 51290 rows, and 24 columns. Some possible sources include data repository websites, academic institutions' databases, and platforms that provide sample datasets for learning and practice. Global Super Store from Kaggle. The Global Superstore Dashboard provides a 360-degree view of overall store sales performance. The order of the components indicates their importance, which should be reflected in the emphasis they are given by their placement on the dashboard. A US Map showing Profit by State. Categories and sub categories. Analyzing the Global Superstore 2016 dataset, including steps like data cleaning, data preparation and finally visualizing the data using various charts and graphs displaying an interactive PowerBI dashboard. The Global Super Store Analysis project provides a clear understanding of business performance across various dimensions. The project includes descriptive analysis of the products sold along with their visualizations. About. Cleanest. Product-Based Analysis; Customer-Based Analysis; Region-Based Analysis; The report is designed to provide insights into sales performance, profit margins, and customer behavior, while allowing for drillthrough, tooltip pages, and interactive slicers. Apr 28. Louis the flavors of the world. Saved searches Use saved searches to filter your results more quickly This repository houses a collection of Tableau visualizations created using the Superstore dataset. The Super Store dataset contains data on order details of customers for orders of a superstore in the US. We have difficult to find foods, products, and drinks from all over the globe. The global superstore sales dataset used for this project is publicly available on Kaggle. The Dashboard provides actionable insights on sales by country, category and sub-category. Given the insights gained from the EDA, the superstore can choose to remove non-profitable products or invest in marketing efforts for products, segments and geographical areas that are driving their profit. I need this for the purpose of learning Welcome to the Power BI project for the global store dataset! This project provides a detailed report on sales transactions across branches worldwide. Objective: To analyze global sales, profitability, and customer behavior in the Global Superstore dataset through interactive data visualizations, highlighting key trends for business The Global Super Store Analysis project provides a clear understanding of business performance across various dimensions. ytriri ixem otmpx ctr zdev cynpa loydr jshrdbgv dxoomkxzv zaq