Superstore dataset analysis tableau free. The Superstore … Datesets for learning Tableau.
Superstore dataset analysis tableau free 8. Code. Note that you can use either Tableau Public or Desktop to find the answer. 120 Years of Olympic History: Athletes and Results - This tableau dataset can be used for analyzing performance trends, identifying successful athletes and countries, and predicting future medal counts. In this project, i created an interactive dashboard in tableau public to analyze the store performance. Explore insightful dashboards, charts, and graphs that provide deep insights into sales trends, product performance, regional analysis, and more. . This corporate style viz is a different take on the classic Tableau Superstore data set. ; Sample - Superstore. Key Features. Learn more. this viz highlights many features of Tableau, and This project performs an in-depth analysis of the US Superstore 2015 dataset using Tableau. A list of tasks will be answered followed by the query Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. 1 This repository houses a collection of Tableau visualizations created using the Superstore dataset. I’ve analyzed the same dataset in Tableau. Sales Overview: Visual representation of overall sales performance. By exploring different aspects of the dataset, users can gain valuable insights into sales patterns, shipping costs, and geographic performance. - VolasIgor/tableau_superstore_analysis With a free trial of Tableau Desktop (Link opens in a new window), you decide to begin there. View raw (Sorry about that, but we can’t show files that are this big right now. It demonstrates my ability to turn data into actionable insights with interactive and dynamic visuals that highlight important trends and help users explore the data This repository contains Tableau workbooks using the superstore_data dataset, showcasing retail analytics, interactive dashboards, and storytelling techniques. File metadata and controls. The dataset taken for this BI analysis project is ‘Sample-Superstore. twbx for reference as workplace data is confidential. In this first week, we introduce you to the Tableau Data Analysis Process framework. It contains SQL dump of Super Store Dataset provided by Tableau and various questions. The dashboard includes multiple interactive pages to explore various key performance indicators (KPIs), geographical trends, and market dynamics. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Packages 0. The Superstore dataset used in this dashboard is publicly available and Tableau is one of the most powerful data visualization tools on the market. We removed all the data from it that is not required and added the « Link » column in the superstore data table. twbx) files containing the visualizations and dashboards. The research questions include Learn Tableau Toggle sub-navigation. If you are using Tableau Desktop, the Sample Superstore dataset should be present in the Saved Data sources and will also be present Becoming really familiar with the structure and content of the superstore dataset is like learning the Rosetta Stone of Tableau. Published: Aug 29, 2024 Updated: Aug 29, 2024 English (US) A Tableau Project. We are analysing the Store Market data which has the several data like customer id, customer name, order details We used Tableau Public, which is a free version of Tableau available online. No harm if you intend to keep using it regularly anyways! Hope this helps, Katie The dataset that I’ve used here is the Superstore dataset that is publicly available and everyone might be aware of. Tremont: A sample dataset for energy consumption analysis. This Tableau project analyzes the Global Superstore dataset, presenting insights through two interactive dashboards: the Descriptive Dashboard and the Prescriptive Dashboard. Ever. This helps a bunch! I am going through the good tutorials that Tableau has provided with the superstore dataset. csv is in the same directory as the Tableau workbook. Tutorial: Get Started with Tableau Desktop - Tableau . There are a few different sample data sets offered by Tableau to practice with, and superstore is only one of them :) You can of course fish around on data. so I am trying to build the same CAGR% functionality in the superstore data set. Welcome to the Superstore Sales Data Analysis project! This portfolio showcases a comprehensive exploration of the Superstore sales dataset, focusing on key performance indicators and actionable insights to drive business strategy. "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 Tableau Superstore Dataset is a sample Dataset supplied by Tableau for new users to learn about and experiment with Tableau's various products and functionalities. Detailed Analysis of Superstore Dataset . Superstore Dataset - Sales and Profit Analysis 3. Inspiration: Use your newly acquired Tableau skills to analyse, manipulate, wrangle, and visualize the data for a huge Superstore franchise. Daniel Guetta (Columbia Business School), and Matthieu Reed (McGill University) recently wrote a case entitled "Modern Retail Analytics: Data Visualization Using Tableau. I used the approach for the best dashboard design techniques in order to have a professional The superstore dataset is a great learning tool for any Tableau user. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. Contribute to VirmarSosa/Superstore-Dataset development by creating an account on GitHub. Data analysis and Tableau. We are going to perform extensive data analysis on sample superstore dataset to deliver insights on how the company can increase its profits while minimizing the losses. You will work with a dataset that covers features like product name, categories, regions, cities, and a whole host of other variables. xls at master · ARAPIL/EU-Superstore This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore Here we have analyzed a superstore’s data. Zomato Dataset - Bengaluru Restaurants Analysis 2. A list of tasks will be answered followed by the query input and query result. Identify Market as well as country wise loss & find products in which sub-category are in loss in those countries. Sample-Superstore. The superstore dataset was downloaded from kaggle using phyton, furthermore, library for deep analysis of this project used pandas, matplotlib and seaborn. Understanding RFM Analysis in Tableau. 0%. 3 6,806. The Super Store dataset contains data on order details of customers for orders of a superstore in the US. Starting with raw Excel data, we used Tableau to make four 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: Profit Analysis on the Sample Superstore Dataset . Superstore analysis. This PDF contains 10 questions and their corresponding answers. This repository contains visualizations and insights derived from three distinct datasets using Tableau. Number of Records – 51, 290 Unique Product Categories – 3 Unique Product Sub_Categories – 17 Unique Product_Name - 3788 Unique Customer Superstore Sales Analysis with Tableau📊🚀 Dataset Description: The dataset contains valuable information about sales, customer behaviour, and product performance. Readme Activity. EU Superstore data was analyzed and visualized. Try Tableau for Free; Buy Tableau Now; English (US) English (US) Deutsch; English (UK) Español; Français (Canada) Français (France) Italiano; In this project, I am working with a dataset of Superstore, aiming to answer 30 scenario-based questions through data visualization and analysis using Tableau. The Sample - Superstore data set comes with Tableau. RFM modeling was done by manually assigning customer loyalty groups to various combinations of R/F/M values ranked from 1-4 (4 being the highest). A table calculation of "Percent of Total" would then give you the overall rate of returns, versus those not returned. - Cagnoro1/Superstores-Sales-Analysis-and-Dashboard The project analyzes the Superstore sales dataset in Tableau, showcasing key insights through a variety of chart types, custom calculations, and interactive features for an in-depth exploration of This repository contains Tableau workbooks using the superstore_data dataset, showcasing retail analytics, interactive dashboards, and storytelling techniques. However, I am noticing some discrepancies in terms of what the tutorial is In this personal Superstore Sales SQL Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. Netflix Dataset - Viewing Trends and Ratings Data Preparation: Preprocessed and cleaned the Sample - EU Superstore dataset to handle missing values, outliers, and data inconsistencies. - LMSharma/Analytics-SuperStore-SQL Hello @Ashish Patil (Member) and welcome to the forums. The dataset includes information on sales, profit, quantity, and various other attributes across different regions, categories, and sub-categories. At the end of our analysis, we will transition to a dashboard reflecting the answers to the most important components that will solve the business problem posed upon us. It includes 15 Dashboards story telling about different KPIs. During the inspection process, a duplicate entry was identified and removed for accuracy. This Tableau dashboard analyzes Superstore Sales and Profit Data to uncover critical business insights. PDF | this Article is analysis form superstore dataset from tableau, i just do descriptive from this dataset suggestion was needed for future article xoxo | Find, read and cite all the research A SQL repo for understanding analytics from basics to advanced with the help of Super Store datasets. Author: Manish Jha. Understanding the logic : This project focuses on creating interactive data visualizations for the Global Superstore Dataset to provide actionable insights for business decision-making. Through these analyses, we aim to empower the Superstore's stakeholders with valuable insights, enabling them to make informed business decisions and drive the store's success to new heights. , specializes in furniture, office supplies, and technology products. Firstly, we tried cleaning the dataset as it was obtained from open-source platform. OK, Got it. Can anyone replicate the video tutorial in tableau here using superstore dataset? Or if you have already a similar workbook that you can share publicly. xlsx : The dataset used for this project. I did Exploratory data analysis on Sample Superstore Dataset using Python, Tableau, Excel, SQL and R. AYN superstore is located in the United States of America This is the second tableau project for practice that you can use to prepare for your interview, resume, and profiles. This is based on the retail dataset who Superstore Data Analysis using R - Download as a PDF or view online for free. English (UK) English (UK) Deutsch; English (US) Español; Français (Canada) Français (France) Italiano; Step 1: You can start by opening up a new instance of Tableau or toggling the start page by clicking on the Tableau icon. And then today, published the 2022 European version with a role field, that links to European flags also According to the analysis results, the Superstore received a total profit of 2,389,392, a total loss of 920,357, and a net profit of 1,469,035 over the period 2011–2014. If you’re interested to - Developed interactive Tableau dashboards to analyze fictional Superstore sales data, focusing on sales performance, regional trends, and customer segmentation to drive strategic business decisions. Superstore Sales assessment Succeed now with the tools you need to make data actionable. twb or . I would like to thank the creators of the dataset for providing a valuable resource for data analysis and machine learning research. Latest commit History History. 1. Superstor_Analysis_project. Okay, let’s perform an exploratory data analysis with our input on the superstore dataset. twbx: This file is the Tableau workbook, which includes the complete set of visualizations and the embedded data source. Open Tableau Desktop and begin. Published: Jun 6, 2024 Updated: Jun 7, 2024 English (US) The COUNT Distinct function was used to get the below figures:. Let’s first build the dataset. md at main · VolasIgor/tableau_superstore_analysis Download the Dataset: Ensure you have the Global Superstore dataset. Each dataset has been explored and visualized to uncover patterns, trends, and key insights. Through this analysis, we will also demonstrate the power of Tableau as a data visualization tool and its ability to help us quickly and easily make sense of complex datasets. The database contained 9994 columns and 21 columns. This report analyzes various aspects of the dataset to extract meaningful insights. 1 MB master. 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. Using Tableau, visualizations highlight patterns in returns by product category, region, and season, leading to actionable recommendations for minimizing returns and enhancing operational efficiency. The result file is attached. Basically, using the Superstore dataset, I am trying to look into whether the shipping costs for a selection of countries, namely, Turkey, Netherlands and Analysis Tasks. Sales, profits, shipping modes were analyzed on country, state and regional bases. It encompasses data from The purpose of this analysis is to understand the sales dynamics of a specific superstore, with the ultimate goal of facilitating data-informed decision-making processes. It includes sales analysis, geographic mapping, and dynamic visualizations through interconnected dashboards. Superstore Sales assessment Connect with your customers and boost your bottom line with actionable insights. of orders (# Orders). Stars. We look deeper at the state-specific sales by density mapping and identify that the highest sales (in Use Sample - Superstore. Step 4: Join the Tableau Community. Data Analysis The analysis involved the following steps: Data Cleaning: Ensured the data was free from errors and inconsistencies. Use the Saved Sample – Superstore dataset. As I browsed through Tableau Public dashboards using the Superstore dataset, I noticed that many focus solely on providing an executive snapshot — highlighting top-level metrics like sales These are only Excel files @Dianne Venable (Member) , you could just as easily update the data in them to suit your needs. - tableau_superstore_analysis/README. Open the Tableau Workbook: Double-click on Superstore sales analysis. After sorry you are misinterpreting the superstore data - the "Returns" in superstore data are at the order id level - not the quantity level Expand Post Upvote Upvoted Remove Upvote Reply In that data set we see the three type of sheets like order , return and users . Don't worry about that kind of detail; just use the data set the way the tutorials and videos do and you'll learn the right concepts. training / visual-data-analysis-with-tableau / datasets / global_superstore_2016. - richardp Use sample datasets provided by Tableau, such as: Superstore: A sample dataset for retail analysis. CAGR Formula : (To Year/ From Year) ^ 1/t -1 Using the Tableau Public Superstore Dataset, this dashboard project enables the exploratory and comparative analyses of business indices across product categories and market locations. Published: Apr 30, 2024 Updated: Apr 30, 2024. - Utilized geospatial and trend analysis to uncover seasonal patterns, market penetration, and sales fluctuations, providing actionable insights. Data sources: Data is sourced from the Superstore dataset, which includes information on sales, profits, and customer segments. Data Visualization of Global Superstore dataset using Tableau Desktop - rishabhxshukla/Global-Superstore-Data-Analysis You will learn how to run EDA and perform it on the superstore dataset by using Python and then, visualising and analysing the data. Free Training Videos; Build Data Literacy; Tableau Certification; Instructor-led Training; Tableau eLearning; Thank you Adam, for some reason the Sample - SuperStore Data in my organizations' Tableau installation does not match up with the data being provided in the tutorials. Top. This project explores data visualization and analysis techniques using Tableau. , or connect to the external live connections to the This electric blue and black dashboard illustrates sales for each year in the Superstore data set, and the user may select particular years for further investigation. datasets, workbook, icons above. Details . Dashboard Creation: Use the dataset to create visuals as described in the project details. The Global Superstore dataset consist of 20 columns and 51,281 I am attaching sample superstore . If you plan to use Tableau public, consider that any work you save becomes publicly available online. - EU-Superstore/Sample - EU Superstore. The formatting / labelling / spacing / alignment should be the same as used in the charts. We dive into the top-selling products based on total quantity sold Walmart Retail Data Analysis Using Tableau Dashboards - gulshang7/Walmart-Retail-Data-Analysis-Using-Tableau. The dataset used for this project is Sample-superstore-sales, sourced from Tableau Community. This can be used to connect to databases other than the sample dataset such as Excel files, PDF files, CSV files, etc. In this video I have done data analysis using Tableau on sample super store dataset determining how to increase profit of the store #TheSparkfoundation #Ta Saved searches Use saved searches to filter your results more quickly The Superstore organization's sales and profit department would need a dashboard that analyses trends and forecasts of sales, profit-loss, expenses for product category, subcategory, and shipping modes. The project includes an interactive dashboard and a detailed story that provide insights into sales trends, product performance, and regional analysis. Tableau Dashboard. Analysis: Utilize the dashboards for deep and flexible analysis of the data. Join online communities, such as: Tableau Community Forum Designed Tableau dashboards to analyze sales, profit, and customer trends using the "USA Superstore" dataset. English (US) Deutsch; English (UK) English (US) superstore-sales-analysis Analysis of sales performance using Tableau and the Superstore dataset. The dataset used for this analysis is the Sample Superstore dataset, which includes sales, profit, order, and customer data from 2014 to superstore-sales-analysis Analysis of sales performance using Tableau and the Superstore dataset Data Sources: Data is sources from the Superstore dataset, which includes information on sales, profits, and customer segments. E-commerce analysis in Tableau: A Practical Case Study for Data Analysts. 1 watching Forks. The dashboard provides insights into sales performance, order details, and profit analysis. - Power BI Docs. Utilized advanced analytics and forecasting for actionable insights and strategic planning. Sales Analysis Using Superstore Dataset & Tableau Resources. For this purpose, we will use the superstore Dataset that we will blend with the polygonic dataset (we will make it polygonic !). Create a parameter “Metric” that will allow users to select a metric for analysis from options including sales, profit, and no. Contribute to avrajit007/Tableau-Datasets development by creating an account on GitHub. xls. Tools Used: Tableau Public 2023. Demonstrates various Tableau functionalities using Superstore Dataset - gsunidhi/Tableau_Superstore-Data-Analysis This tutorial video is hands on tableau demo on how to create interactive dashboard on sample superstore dataset. dashboard data-visualization data-analysis tableau superstore profit-loss product-performance executive-overview Resources. This project was made possible by the SampleSuperstore dataset, which is publicly available from the UCI Machine Learning Repository. Visualizations, built using Tableau & Flourish, highlight sales trends, profitability, & customer behavior insights - Data-Visualization-Tableau-and-Flourish-Analysis Authors: Saurav Kumar Pal Task 1 : EDA of Sample-Superstore Dataset GRIP The Sparks Foundation As an intern at The Sparks Foundation, I had the exciting opportunity to work on a project involving This project analyzes return data from a fictional Superstore to identify the causes of high return rates. 1 MB. xls’ data set. Business; Superstore Sales: Contains information about products, sales, and profits that you can use to This project aims to develop an interactive data visualization using Tableau for Superstore dataset analysis. Data sets may be available in English only. The analysis aims to provide insights into the store’s performance, identifying trends, patterns, and Free Training Videos; Build Data Literacy; Tableau Certification; Can someone help me replicate the customer lifetime analysis in youtube using superstore dataset?? Hi I am new to tableau here. The main aim of the project is to uncover insights into the store's sales and profits trends and patterns from 2014 to 2017. Learn / Courses / Statistical Techniques in Tableau. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. this video is for performing data visualization on sample superstore dataset using tableau. I am going to perform an Exploratory Data Analysis on the Sample Superstore dataset. Navigate to your Tableau install directory, on Windows the default is: Program Files\\Tableau Dataset containing Sales & Profits of a Superstore Dataset containing Sales & Profits of a Superstore. English (US) Deutsch; English (UK) or contact your Tableau Server Administrator. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. - This is a free practice sheet. Here’s a general guide on how to approach this task: Step 1: Data Import and Database A comprehensive Tableau project visualizing the US Superstore sales data. Created by Ryan Sleeper, this workbook aims to train users on design, data visualization This project provides an interactive analysis of Superstore sales data using Tableau, offering Tableau-Superstore-Analysis. This includes the state, region, order date, shipping date, product ordered etc. For my first data visualisation project using Tableau, I worked with a Superstore dataset to analyse customer and sales statistics across different regions. Load into Tableau: Import the dataset into Tableau. The first 5 rows and 7 columns of our dataset. Data Exploration: Conducted exploratory data analysis (EDA) using Tableau to uncover patterns, trends, and correlations in the data, leveraging interactive visualizations and dashboards. In this project I have selected the best chart for visualizing each question and explain each question based on the chart selection and its visualization. The user can clearly see the important points and look at the gray portions if they want to do any deeper analysis. 0 stars Watchers. Superstore, a fictional retail entity in the U. xls: This Excel file contains the Superstore sales dataset Place the Dataset: Ensure that Superstore sales dataset. Published: Mar 5, 2023 Updated: Mar 30, 2023. Interactive Dashboard Super Sample Superstore. - AmrMohamed319/Global To begin our analysis, we need to gather the data from a reliable source. help. there. Business; Superstore Sales: Contains information about products, sales, and profits that you can use to This project aims to perform a in depth analysis of the Superstore sale database. Tableau will automatically connect to With the information provided below, you can explore a number of free, accessible data sets and begin to create your own analyses. There are no missing values or any irrelevant data types and values. - WuCandice/Superstore-Sales-Analysis This dataset encompasses a wide range of information, including order specifics, geographical data, and product-related data. Instant dev environments I am new to Tableau and I have been trying to address a problem for a number of days, I went through the videos and also followed a number of posts, but I have been unsuccessful. Practice creating visualizations with these datasets, and apply what you’ve learned so far. The goal of this project is to uncover insights and trends within the data For future reference, once you have installed Tableau Desktop, you can get all the data sources and the workbooks that Tableau provide as samples right from your own pc. Published: May 26, 2017 Updated: Apr 22, 2023. There is a "Returned" field, which is Yes or NULL. This comprehensive guide is essential for effectively preparing, analyzing, interpreting, and communicating data. This is my attempt to visualize the Sample Super Store Dataset by Tableau. 0 23. This report provides an in-depth analysis of the company's performance from 2019 to 2022, highlighting key areas of strength and potential opportunities for growth. ) Download Power BI Sample Data Set for practice purpose, Power BI SuperStore, Map & Time Series Data Set excel sheet are available. The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. Download a data set and connect to it from Tableau to start creating. The Superstore dataset is a publicly available dataset that contains data on sales, profits, and other metrics for a fictional company that sells office supplies. Blend the data with the Saved Sample - Sales Target data set to bring in the Sales This project focuses on creating a Tableau Dashboard for Executive Sales Analysis using the Superstore dataset. If you like this Project and Dashboard give it a Star or just tell me. Explore trends, patterns, and key metrics to inform strategic business decisions and drive In the next section, the article delves deeper into setting up RFM Analysis in Tableau. Find and fix vulnerabilities Codespaces. Something went wrong and this page crashed! If the issue Welcome to the Superstore Data Visualization and Analysis Project repository! This repository contains a Tableau project for analyzing sales data from Superstore. After carefully Data: The data directory contains the Superstore dataset used in the analysis. This project is divided in two part: 1) The customer segmentation Analysis using SQL. To accomplish this project, Tableau‘s Superstore sample dataset is utilized. xls data. Special thanks to the Prodigy Infotech to provide me this internship opportunity to showcase my skills in EDA Explore these sample data sets, data sources, and web data connectors to get started on your next visualization project. Exploratory data analysis, or EDA The analysis and visualizations provided in this project aim to offer stakeholders a comprehensive understanding of Global Superstore's sales data. Spotify Tracks DB - This dataset can be used for analyzing musical trends, predicting popular songs, and developing recommendation systems. Use lambda functions to establish Recency/Frequency/Monetary columns Split columns This Tableau project analyzed the Superstore dataset to create interactive dashboards that compare regional metrics, revealing growth opportunities to guide strategic business expansion. #TableauPublicNoob #1stTableauViz. It contains information about products, sales, profits, An overview of Tableau Desktop and the Superstore sample data set for beginners who want to understand what Tableau is and what it can do within Data Visuali Explore these sample data sets, data sources, and web data connectors to get started on your next visualization project. NHS Health & Social Care Information Centre - Health data sets from the UK National Health Service Gapminder - Compilation of data from sources including the World Health Organization and World Bank covering economic, medical and social statistics from around the world. Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Understanding the Dataset There is no "Cost" field anywhere in the Superstore data set so we can't calculate Profit ourselves. twb to open the Tableau workbook. Prof. Univariate exploratory data analysis Free. The analysis aims to provide key Superstore Sales Analysis Identifying the patterns in our products, regions, categories and customer segments for efficiency and profit optimization with MYSQL With the constant advancement of This project provides an interactive analysis of Superstore sales data using Tableau, offering insights into sales performance, customer behavior, and market trends to help optimize business strategies. The dashboard offers an in-depth analysis of Superstore Sales across segments, markets, and profit categories. Superstore-Global_Dataset. About. Step 2: You are required to make a selection under the Connect pane. Course Outline. Analysis of the Superstore dataset is cleaned, pre-processed, analyzed and visualized using Tableau. Superstore Analytics project using Tableau! In this project, we explore and analyze the Superstore dataset to derive valuable insights and create informative visualizations. Cleanest. NBA Global Superstore Data Visualization Using Tableau - jarrodtky/Superstore-Global_Visualization_Tableau. See its possibilities in a demo presentation we have put together using European Superstore Data. Develop a Tableau dashboard utilizing the Sample Superstore dataset, as shown in below figures. Are you a data analyst interested in honing your analysis skills using Tableau? Meet my new free Case Study An interactive Tableau dashboard analyzing Superstore's sales and profitability trends across regions, products, and customer segments to uncover actionable key business insights and growth opportunities. Feel free to use this Project's resourses for your next Project. Problem Statement : Global Superstore has been going through loss in the products sold. Dataset is fairly small and after giving the dataset a quick look in Power Query, I decided to work with Excel and Tableau only for this dataset. xlsx. Hence, do not use Tableau public if you don’t intend to make your dataset and dashboards available to everyone. - rubythedev/superstore-return-analysis If you have ideas for enhancements or spot any issues, feel free to submit a pull request. 0 forks Report repository Releases No releases published. Create a bullet chart with Category and Segment dimensions and Sales measures. An interactive dashboard was developed to compare product sales & profits for segments in different European Countries. The following COVID-19 data visualization is representative of the the types of visualizations Superstore analysis. This project aimed to Data Visualization, Data Analysis, Tableau Objective Create a tableau dashboard that will show the superstore's current and forecasted financial and operational performance. Buy Tableau today. Breadcrumbs. Detailed Analysis of Superstore Dataset by Aniruddha Biswas. Date: April 19th, 2024. Introduction. Blame. Try Tableau for free. It includes information on orders, products, customers, and sales across different regions and time periods. Identify Least Profitable Sub-Category in 2022: Discover the sub-category with Using Tableau, Story has been created to solve the global superstore case study. Hello All, Today I had sometime on my hand and I decided to play around with a publicly available dataset, Superstore Sales, available on Tableau Public website. 2) The visualization Dashboard on Tableau. It'll make me feel Good :) Super Store Dataset Analysis Story . This free course guides you on building LLM apps, mastering prompt engineering, and developing chatbots with enterprise AbstractAnalysing the Superstore Sales Dataset from different aspects so as to derive meaningful business insights which in turn help in better decisions making and growth of the businessHere we are going to consider the Sample Superstore Sales data to build our analysis in TABLEAU in order to draw some meaningful insights, so that we can add value to Welcome to Data Analysis with Tableau, the seventh course in the Tableau Business Intelligence Analyst Professional Certificate series. global_superstore_2016. But, if it is of interest, in October last year, I extracted all the 2022 versions for the different locales and published them to Datawonders. You can display that and the COUNT of orders. We downloaded the Superstore dataset from Kaggle, which is a free and open-source platform for data analysis. This project showcases my skills in Tableau dashboard building, data visualization, and business analytics. The Superstore Datesets for learning Tableau. #tableau visualization#superstore dataset#tableau#visulization #Ba The dataset required basic data cleaning and restructuring via Python. Tableau Workbook: The Tableau_Workbook directory includes the Tableau workbook (. This repository contains a Tableau dashboard that visualizes sales data for the USA using the Superstore dataset. Consumer and product Analytics on Global Super Store Data. S. It analyzes global sales, profitability & customer segmentation. Superstore Data Analysis using R - Download as a PDF or view online for free Our analysis is based on a superstore dataset for US country Data Source The dataset used in this project is based on a sample superstore dataset provided by Tableau. world as Steffan mentioned above, however you'll have to create an account/profile, etc. Analyzing sales data from the Superstore Sales Dataset using SQL (MySQL) and Tableau involves several steps. This visualization project aims to analyze a fictitious superstore’s sales performance between 2016 and 2019 using Microsoft Power BI. Raw. - mnnit3007/Tableau_Superstore_Visualization Here is an example of Superstore data: boxplot: Your manager has the impression that the profits generated by selling tables in the Illinois part of the superstore are below expectations. That data set exists to give you something to work with while you're learning Tableau. Link to the Dataset: Click Here. twbx: The Tableau Workbook containing the work done Sample Super Store Dataset by Tableau by Abhinav Prasad. Maxime Cohen (McGill University), Prof. xmu ffp xvhhx cpqksd cgkozjl xjniabm tif dfi ogtd fsbsv