- Superstore dataset analysis tableau 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. 1 This repository houses a collection of Tableau visualizations created using the Superstore dataset. 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. Sales, profits, shipping modes were analyzed on country, state and regional bases. For this purpose, we will use the superstore Dataset that we will blend with the polygonic dataset (we will make it polygonic !). 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. English (US) Deutsch; English (UK) or contact your Tableau Server Administrator. You will work with a dataset that covers features like product name, categories, regions, cities, and a whole host of other variables. 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. Data sets may be available in English only. The research questions include Learn Tableau Toggle sub-navigation. There are no missing values or any irrelevant data types and values. Key Features. 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. Published: Jun 6, 2024 Updated: Jun 7, 2024 English (US) The COUNT Distinct function was used to get the below figures:. This report analyzes various aspects of the dataset to extract meaningful insights. 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. Published: May 26, 2017 Updated: Apr 22, 2023. The result file is attached. Tremont: A sample dataset for energy consumption analysis. 1 watching Forks. Introduction. 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. 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. 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. The superstore dataset was downloaded from kaggle using phyton, furthermore, library for deep analysis of this project used pandas, matplotlib and seaborn. Data sources: Data is sourced from the Superstore dataset, which includes information on sales, profits, and customer segments. I am going to perform an Exploratory Data Analysis on the Sample Superstore dataset. The dataset taken for this BI analysis project is ‘Sample-Superstore. Maxime Cohen (McGill University), Prof. This PDF contains 10 questions and their corresponding answers. 1. Published: Aug 29, 2024 Updated: Aug 29, 2024 English (US) A Tableau Project. xls data. Tools Used: Tableau Public 2023. See its possibilities in a demo presentation we have put together using European Superstore Data. Feel free to use this Project's resourses for your next Project. The user can clearly see the important points and look at the gray portions if they want to do any deeper analysis. Find and fix vulnerabilities Codespaces. The Super Store dataset contains data on order details of customers for orders of a superstore in the US. this video is for performing data visualization on sample superstore dataset using tableau. I would like to thank the creators of the dataset for providing a valuable resource for data analysis and machine learning research. Course Outline. , 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. so I am trying to build the same CAGR% functionality in the superstore data set. If you like this Project and Dashboard give it a Star or just tell me. This visualization project aims to analyze a fictitious superstore’s sales performance between 2016 and 2019 using Microsoft Power BI. 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). The dataset includes information on sales, profit, quantity, and various other attributes across different regions, categories, and sub-categories. csv is in the same directory as the Tableau workbook. This project is divided in two part: 1) The customer segmentation Analysis using SQL. Tutorial: Get Started with Tableau Desktop - Tableau . It includes sales analysis, geographic mapping, and dynamic visualizations through interconnected dashboards. The following COVID-19 data visualization is representative of the the types of visualizations Superstore analysis. 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. 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. 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. Understanding RFM Analysis in Tableau. Step 2: You are required to make a selection under the Connect pane. Learn / Courses / Statistical Techniques in 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. 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. 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. To accomplish this project, Tableau‘s Superstore sample dataset is utilized. Download a data set and connect to it from Tableau to start creating. You can display that and the COUNT of orders. "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. 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. 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. 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. - rubythedev/superstore-return-analysis If you have ideas for enhancements or spot any issues, feel free to submit a pull request. 1 MB. twb to open the Tableau workbook. 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. Use the Saved Sample – Superstore dataset. 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. twb or . 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. - Power BI Docs. After carefully Data: The data directory contains the Superstore dataset used in the analysis. That data set exists to give you something to work with while you're learning Tableau. 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. Top. Link to the Dataset: Click Here. This project was made possible by the SampleSuperstore dataset, which is publicly available from the UCI Machine Learning Repository. Using Tableau, visualizations highlight patterns in returns by product category, region, and season, leading to actionable recommendations for minimizing returns and enhancing operational efficiency. 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. The Superstore dataset used in this dashboard is publicly available and Tableau is one of the most powerful data visualization tools on the market. dashboard data-visualization data-analysis tableau superstore profit-loss product-performance executive-overview Resources. If you plan to use Tableau public, consider that any work you save becomes publicly available online. Each dataset has been explored and visualized to uncover patterns, trends, and key insights. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. The formatting / labelling / spacing / alignment should be the same as used in the charts. This is my attempt to visualize the Sample Super Store Dataset by Tableau. This includes the state, region, order date, shipping date, product ordered etc. 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. 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. - richardp Use sample datasets provided by Tableau, such as: Superstore: A sample dataset for retail analysis. Prof. 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. This repository contains visualizations and insights derived from three distinct datasets using Tableau. The project includes an interactive dashboard and a detailed story that provide insights into sales trends, product performance, and regional analysis. 0 stars Watchers. 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. Date: April 19th, 2024. 8. This is based on the retail dataset who Superstore Data Analysis using R - Download as a PDF or view online for free. Load into Tableau: Import the dataset into Tableau. Spotify Tracks DB - This dataset can be used for analyzing musical trends, predicting popular songs, and developing recommendation systems. Stars. Identify Market as well as country wise loss & find products in which sub-category are in loss in those countries. File metadata and controls. Analysis of the Superstore dataset is cleaned, pre-processed, analyzed and visualized using Tableau. training / visual-data-analysis-with-tableau / datasets / global_superstore_2016. Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. 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. The Global Superstore dataset consist of 20 columns and 51,281 I am attaching sample superstore . global_superstore_2016. It analyzes global sales, profitability & customer segmentation. Create a parameter “Metric” that will allow users to select a metric for analysis from options including sales, profit, and no. This project explores data visualization and analysis techniques using Tableau. 0 forks Report repository Releases No releases published. A list of tasks will be answered followed by the query input and query result. The main aim of the project is to uncover insights into the store's sales and profits trends and patterns from 2014 to 2017. The database contained 9994 columns and 21 columns. Ever. Latest commit History History. Sales Analysis Using Superstore Dataset & Tableau Resources. 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. This can be used to connect to databases other than the sample dataset such as Excel files, PDF files, CSV files, etc. 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. Author: Manish Jha. Detailed Analysis of Superstore Dataset by Aniruddha Biswas. Superstore Dataset - Sales and Profit Analysis 3. Contribute to avrajit007/Tableau-Datasets development by creating an account on GitHub. Consumer and product Analytics on Global Super Store Data. This comprehensive guide is essential for effectively preparing, analyzing, interpreting, and communicating data. 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. Data analysis and Tableau. Hence, do not use Tableau public if you don’t intend to make your dataset and dashboards available to everyone. We downloaded the Superstore dataset from Kaggle, which is a free and open-source platform for data analysis. 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. Data Analysis The analysis involved the following steps: Data Cleaning: Ensured the data was free from errors and inconsistencies. Details . Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Raw. Okay, let’s perform an exploratory data analysis with our input on the superstore dataset. The Superstore Datesets for learning Tableau. Readme Activity. this viz highlights many features of Tableau, and This project performs an in-depth analysis of the US Superstore 2015 dataset using Tableau. Sample-Superstore. It includes information on orders, products, customers, and sales across different regions and time periods. - tableau_superstore_analysis/README. This project showcases my skills in Tableau dashboard building, data visualization, and business analytics. Tableau Workbook: The Tableau_Workbook directory includes the Tableau workbook (. 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. 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. Create a bullet chart with Category and Segment dimensions and Sales measures. Cleanest. 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. We look deeper at the state-specific sales by density mapping and identify that the highest sales (in Use Sample - Superstore. - AmrMohamed319/Global To begin our analysis, we need to gather the data from a reliable source. S. 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. Problem Statement : Global Superstore has been going through loss in the products sold. View raw (Sorry about that, but we can’t show files that are this big right now. About. The dataset used for this project is Sample-superstore-sales, sourced from Tableau Community. 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. - Utilized geospatial and trend analysis to uncover seasonal patterns, market penetration, and sales fluctuations, providing actionable insights. Explore insightful dashboards, charts, and graphs that provide deep insights into sales trends, product performance, regional analysis, and more. Tableau Dashboard. 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. For my first data visualisation project using Tableau, I worked with a Superstore dataset to analyse customer and sales statistics across different regions. 1 MB master. This repository contains a Tableau dashboard that visualizes sales data for the USA using the Superstore dataset. NBA Global Superstore Data Visualization Using Tableau - jarrodtky/Superstore-Global_Visualization_Tableau. 0%. Practice creating visualizations with these datasets, and apply what you’ve learned so far. 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 . It includes 15 Dashboards story telling about different KPIs. Packages 0. 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. 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. 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. 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. twbx) files containing the visualizations and dashboards. ; Sample - Superstore. Open the Tableau Workbook: Double-click on Superstore sales analysis. twbx for reference as workplace data is confidential. In this project, i created an interactive dashboard in tableau public to analyze the store performance. Superstor_Analysis_project. Netflix Dataset - Viewing Trends and Ratings Data Preparation: Preprocessed and cleaned the Sample - EU Superstore dataset to handle missing values, outliers, and data inconsistencies. The Sample - Superstore data set comes with Tableau. Understanding the Dataset There is no "Cost" field anywhere in the Superstore data set so we can't calculate Profit ourselves. The dashboard offers an in-depth analysis of Superstore Sales across segments, markets, and profit categories. Learn more. Utilized advanced analytics and forecasting for actionable insights and strategic planning. This Tableau dashboard analyzes Superstore Sales and Profit Data to uncover critical business insights. - WuCandice/Superstore-Sales-Analysis This dataset encompasses a wide range of information, including order specifics, geographical data, and product-related data. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. of orders (# Orders). 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. 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. Inspiration: Use your newly acquired Tableau skills to analyse, manipulate, wrangle, and visualize the data for a huge Superstore franchise. I’ve analyzed the same dataset in Tableau. 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. 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. Buy Tableau today. #TableauPublicNoob #1stTableauViz. This Tableau project analyzes the Global Superstore dataset, presenting insights through two interactive dashboards: the Descriptive Dashboard and the Prescriptive Dashboard. Step 4: Join the Tableau Community. We removed all the data from it that is not required and added the « Link » column in the superstore data table. xls: This Excel file contains the Superstore sales dataset Place the Dataset: Ensure that Superstore sales dataset. Daniel Guetta (Columbia Business School), and Matthieu Reed (McGill University) recently wrote a case entitled "Modern Retail Analytics: Data Visualization Using Tableau. 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. 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. This corporate style viz is a different take on the classic Tableau Superstore data set. . Detailed Analysis of Superstore Dataset . Open Tableau Desktop and begin. Interactive Dashboard Super Sample Superstore. 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. world as Steffan mentioned above, however you'll have to create an account/profile, etc. Develop a Tableau dashboard utilizing the Sample Superstore dataset, as shown in below figures. 2) The visualization Dashboard on Tableau. This helps a bunch! I am going through the good tutorials that Tableau has provided with the superstore dataset. I did Exploratory data analysis on Sample Superstore Dataset using Python, Tableau, Excel, SQL and R. EU Superstore data was analyzed and visualized. - VolasIgor/tableau_superstore_analysis With a free trial of Tableau Desktop (Link opens in a new window), you decide to begin there. E-commerce analysis in Tableau: A Practical Case Study for Data Analysts. - LMSharma/Analytics-SuperStore-SQL Hello @Ashish Patil (Member) and welcome to the forums. It contains SQL dump of Super Store Dataset provided by Tableau and various questions. The first 5 rows and 7 columns of our dataset. Zomato Dataset - Bengaluru Restaurants Analysis 2. Data Exploration: Conducted exploratory data analysis (EDA) using Tableau to uncover patterns, trends, and correlations in the data, leveraging interactive visualizations and dashboards. 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. 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. 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. Superstore-Global_Dataset. English (US) Deutsch; English (UK) English (US) superstore-sales-analysis Analysis of sales performance using Tableau and the Superstore dataset. twbx: The Tableau Workbook containing the work done Sample Super Store Dataset by Tableau by Abhinav Prasad. Let’s first build the dataset. 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. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. Try Tableau for free. Superstore, a fictional retail entity in the U. 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. Note that you can use either Tableau Public or Desktop to find the answer. help. 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. 3 6,806. md at main · VolasIgor/tableau_superstore_analysis Download the Dataset: Ensure you have the Global Superstore dataset. A table calculation of "Percent of Total" would then give you the overall rate of returns, versus those not returned. 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. Firstly, we tried cleaning the dataset as it was obtained from open-source platform. twbx: This file is the Tableau workbook, which includes the complete set of visualizations and the embedded data source. Published: Apr 30, 2024 Updated: Apr 30, 2024. - 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. Blame. There is a "Returned" field, which is Yes or NULL. Join online communities, such as: Tableau Community Forum Designed Tableau dashboards to analyze sales, profit, and customer trends using the "USA Superstore" dataset. xls’ data set. Code. During the inspection process, a duplicate entry was identified and removed for accuracy. Dashboard Creation: Use the dataset to create visuals as described in the project details. - This is a free practice sheet. 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. - 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. Contribute to VirmarSosa/Superstore-Dataset development by creating an account on GitHub. 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. Superstore Sales assessment Succeed now with the tools you need to make data actionable. 0 23. xlsx : The dataset used for this project. 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 . 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. The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. Superstore analysis. 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. By exploring different aspects of the dataset, users can gain valuable insights into sales patterns, shipping costs, and geographic performance. Sales Overview: Visual representation of overall sales performance. datasets, workbook, icons above. #tableau visualization#superstore dataset#tableau#visulization #Ba The dataset required basic data cleaning and restructuring via Python. In this first week, we introduce you to the Tableau Data Analysis Process framework. Breadcrumbs. xls. there. 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. The dashboard includes multiple interactive pages to explore various key performance indicators (KPIs), geographical trends, and market dynamics. An interactive dashboard was developed to compare product sales & profits for segments in different European Countries. Superstore Analytics project using Tableau! In this project, we explore and analyze the Superstore dataset to derive valuable insights and create informative visualizations. Understanding the logic : This project focuses on creating interactive data visualizations for the Global Superstore Dataset to provide actionable insights for business decision-making. ) Download Power BI Sample Data Set for practice purpose, Power BI SuperStore, Map & Time Series Data Set excel sheet are available. 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. Univariate exploratory data analysis Free. OK, Got it. 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. 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. Published: Mar 5, 2023 Updated: Mar 30, 2023. - EU-Superstore/Sample - EU Superstore. 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. Analysis: Utilize the dashboards for deep and flexible analysis of the data. The dashboard provides insights into sales performance, order details, and profit analysis. Analyzing sales data from the Superstore Sales Dataset using SQL (MySQL) and Tableau involves several steps. Superstore Sales assessment Connect with your customers and boost your bottom line with actionable insights. utrl ats lwal arqfndo bvxgx qqxn jjroaau yjtfh fqhc mvjr