Tableau superstore data analysis. Univariate exploratory data analysis Free.
- Tableau superstore data analysis Superstore In the case of the SuperStore data, Revenue would be the same as total Sales. As a small retail segment, it could be producing multiple products like technology products, office products, furniture, etc. Super Store Data Analysis #Superstore #salesanalysis. com/app/resources/learn. Use the Saved Sample – Superstore dataset. ) for presentations or reports. map, bar, area, dimension, three maps, pie charts heatmap graphs were used for visualizations. superstore. amazonaws. This example shows how to connect to Sample - Superstore data in Tableau Desktop. The trends and patterns derived will give insight and insights will lead to recommendations help in business to I'm designing a course and was tinkering around with the Global Superstore data I received through the Tableau for Teachers Users Group. These insights provided actionable information for strategic decision-making, resource optimization, targeted This guide will examine each of these using the Global Sample Superstore data source from this website. Some examples include: cookies used to analyze site traffic, cookies used for market research, and cookies used to display advertising that is not directed to a particular individual. These are only Excel files @Dianne Venable (Member) , you could just as easily update the data in them to suit your needs. This helps a bunch! Einstein Copilot for Tableau; Data Management; Embedded Analytics; CRM Analytics; Enterprise; Tableau Public; Our Integrations; Latest Releases; Plans and 2019 Sales and Profit Analysis - Superstore Data. Daniel Guetta (Columbia Business School), and Matthieu Reed (McGill University) recently wrote a case entitled "Modern Retail Analytics: Data Visualization Using Tableau. The first 5 rows and 7 columns of our dataset. Analyzing sales data from the Superstore Sales Dataset using SQL (MySQL) and Tableau involves several steps. Visualizations, built using Tableau & Flourish, highlight sales trends, profitability, & customer behavior insights - Data-Visualization-Tableau-and-Flourish-Analysis Data Analytics Insights; Teams and Organizations Toggle sub-navigation. ; Filter and Drill Down: Use filters to drill down into specific regions, categories, or time periods for a more detailed analysis. Upvote Upvoted Remove Here is an example of Superstore data: Univariate exploratory data analysis Free. Okay, let’s perform an exploratory data analysis with our input on the superstore dataset. 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. Data Set URL 2. Overall sales. # Drop the duplicated rows superstore. To make the data a little more manageable for me, I broke it up into separate year tabs. Published: Jun 17, 2019 Updated: Nov 23, 2022 English (US) Step-by-Step Exploratory Data Analysis (EDA) us Walmart’s Sales Analysis through Data Vis A Step by step on Tableau for Beginner . Quickly spot increases or decreases in sales, profit ratio and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. Here is an example of Superstore data: table: In the first chapter, you'll be working with the superstore data. Data Migrations. Clients could belong to individual segments or business consumers like global_superstore_2016. Let’s dive into the insights Super Sample Superstore. Some examples include: cookies used to analyze site traffic, cookies used for market research, and cookies used to display advertising Our analysis in question will be carried with Excel, SQL and finally Tableau. On the start page, under Connect, click Microsoft Excel. Expand Post. General Assembly Data Analytics Final Project - Superstore Profit Analysis This is a set of practice questions for problem-solving with Tableau Desktop. Connect to a data source that you’ve connected to before. Visualizations, built using Tableau & Flourish, highlight sales trends, profitability, & customer behavior insights - Data-Visualization-Tableau-and-Flourish-Analysis Tableau Agent; Embedded Analytics; CRM Analytics; Enterprise; Tableau Public; Our Integrations; Latest Releases; Plans and Pricing Toggle sub-navigation. Show more actions. data visualization And visual analytics, in the form of interactive dashboards and visualizations, are essential tools for anyone—from students to CEOs—who needs to analyze data and tell stories with data. Prof. Excel will serve as first repository for our data, SQL will give meaning to our data and Tableau will give a clear face to our data. Welcome to Data Analysis with Tableau, the seventh course in the Tableau Business Intelligence Analyst Professional Certificate series. Tableau often updates Superstore Tableau Desktop & Web Authoring. however, glad to see someone has made. Cookies Details Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’ As a business manager, try to find out the weak areas where you can work to make more profit. Some examples include: cookies used to analyze site The first step in any data analysis project is the ETL process. This tutorial video is hands on tableau demo on how to create interactive dashboard on sample superstore dataset. 1 98. Create a bar Tools: SQL (MySQL), Tableau. Exploratory data analysis, or EDA, is a fundamental step when doing data research The more data points that you provide to Tableau the better forecast you get. CIS-5270 BUSINESS INTELLIGENCE 2 Table of Contents S. Here is an example of Superstore data: histogram promo: There was a recent promotion on the webshop of the superstore: buy two, get three. Getting the first insights of your data is easy in Tableau: you’ll be Tableau is not just about creating visualizations. Accompanying step-by-step video tutorial solving these questions is in my YouTube channel: youtube. Getting the first insights of your data is easy in Tableau: you’ll be creating and interpreting tables, bar plots Connect to data that is stored on Tableau Server, Microsoft SQL Server, Google Analytics, or another server. You signed out in another tab or window. Mentioned To accomplish this project, Tableau‘s Superstore sample dataset is utilized. Contribute to vijaynandwani/Superstore-Sales-Analysis development by creating an account on GitHub. 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 This project aims to perform a in depth analysis of the Superstore sale database. Recently, I have designed Indian Premier League Database for 577 matches which you can try with Tableau Welcome to the Superstore Data Visualization and Analysis Project repository! This repository contains a Tableau project for analyzing sales data from Superstore. A perceptive Tableau Superstore dashboard offers a high-level view of the operational data from a superstore having multiple branches all over. This corporate style visualization is a different take on the classic Tableau Superstore data set. I am new to Tableau, so please pardon my ignorance. 1. Skip to content. training / visual-data-analysis-with-tableau / datasets / global_superstore_2016. Most of the dashboard uses only two colors, blue and gray. Tableau Project on SuperStore Sales Analysis. )A field of data should contain items that can be grouped into a larger relationship. 1 Introduction and Goal 3 2 Data Set 1. The primary objective of this analysis is to delve into the Superstore data and extract meaningful insights that will help us construct a compelling and informative story for all stakeholders involved. A list of tasks will be answered followed by the query Analyzing the data for understanding the trends and patterns associated with Profit and sales of Superstore with the help of Data visualization tool - Tableau. - Utilized geospatial and trend analysis to uncover seasonal patterns, market penetration, and sales fluctuations, providing actionable insights. Just copy this to your desktop and voila! You've now With the information provided below, you can explore a number of free, accessible data sets and begin to create your own analyses. 4 - Join & Blend - . Link to live Tableau dashboard In summary, the descriptive analysis of the superstore data uncovered valuable insights related to market sales and profit ratios, category performance, subcategory profitability, technology sales impact, and seasonal sales patterns. 1 MB master. Thank You in advance for your time Preview the 17 duplicated rows. Superstore analysis. Original Data Set : Superstore Dataset on Tableau. Tableau is not just about creating visualizations. Various trademarks This repository links to multiple sales, profit, and business forecast dashboards that use the Superstore data set from Tableau. A walk through of Tableau Dashboard, using fictional data from data. Dataset is Global Superstore Data Visualization Using Tableau Topics dashboard data-visualization data-analysis tableau superstore profit-loss product-performance executive-overview • Generated advance strategy Tableau dashboard using LOD functions, Parameters & charts. Premium Support; Learning and Certification; Professional Services; Customer Success; Those are the kinds of relevant questions you can ask and data of superstore in south region Lastly, create box plot by using product category variable and state subgroup to see American consumption patterns across states in the same regions box plot of Kirk is also the author of Data Modeling with Tableau, an extensive guide, complete with step-by-step explanations of essential concepts, practical examples, and hands-on exercises. - VolasIgor/tableau_superstore_analysis Here is an example of Superstore data: confidence intervals: One of the manufacturers, Howard Miller, has been having issues with their IT systems. Published: Sep 20, 2020 Updated: Dec 1, 2022. Blend the data with the Saved Sample - Sales Target data set to bring in the Sales Target measure. Open Tableau. When I brought the broken-up data into Tableau, everything was as it should be (note the 2011 Orders, 2012 Orders, etc. Univariate exploratory data analysis Free. General Assembly Data Analytics Final Project - Superstore Profit Analysis USA Population Data Analysis Using Tableau Nov 17, 2019 Stock Price Data Analysis Using Tableau Superstore Sales Analysis with Tableau📊🚀 Melvin Agastin 5mo Monthly Recurring Revenue (MRR Here, I uncovered the symphony of global commerce through data analysis. 1 512. In this article, I present a data visualization project on Sample Superstore data using Tableau. Details . Market basket analysis is a data mining technique used by retailers to increase sales by better understanding customer purchasing patterns. Category and subcategory data for sales, profits, discounts trends analyzed on state and city level. Before starting your analysis, decide what questions you want answered. Premium Support; Learning and Certification; Professional Services; I actually googled your first question and found this Tableau Sample Questions with Sample Superstore data which looks close. Maxime Cohen (McGill University), Prof. The project aims to uncover insights from the dataset by employing various data visualization techniques. 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. 1 292 Here is an example of Superstore data: bar plot: Now let's change the table into a bar plot! Univariate exploratory data analysis Free. I Created An Interactive Dashboard for Superstore with Tableau Where I Concluded on Tableau makes software for data analysis and visualization that is easy to use and produces beautiful results. ) Hi Srinivasa, The Global Superstore 2016 files are available for download under the training videos themselves, either as a data set or a workbook with starting state sheets build out. Include a button to hide/display both filters for improved viewing experience. Whenever I had a new hire I would first show them how the structure of the superstore data really allows the full power of Tableau to Analysis of Tableau Superstore Sales Sample Data. These smaller groups – or cohorts – share similar characteristics in a Who are the DataFam and what do they do on Tableau Public? Details . Here’s a general guide on how to approach this task 1)Using Orders in Global Superstore, which Sub-Category has Standard Deviation for Sales and Profit one point more than the Mean of Sales and Profit? 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. Services Close Services Open Services. 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. And as a special treat, I have also added the localised workbooks created by the Tableau teams ready for you to play with Inside, you'll find all the data sources used in the Superstore relational source including your Superstore. I have only selected the United States as the Country and This repository houses a collection of Tableau visualizations created using the Superstore dataset. See its possibilities in a demo presentation we have put together using European Superstore Data. It contains information about products, sales, profits, and so on that you can use to identify key areas for improvement This project focuses on creating interactive data visualizations for the Global Superstore Dataset to provide actionable insights for business decision-making. Finally, the article touches upon setting up RFM Analysis in Tableau and Here is an example of Superstore data: high workload: The company you work for has noticed that when too many items are shipped per order using same day delivery, order picking can't follow the workload. Overall, the reader can see trends in the data through visualizations, as well as the actual data table in the bottom right corner. You signed in with another tab or window. Create a bullet chart with Category and Segment dimensions and Sales measures. /Tableau Mid Course Hover over data to see the details instantly. Margin or Gross Margin is defined as Gross Margin (%) = (Revenue – Cost of goods sold) / Revenue. This uses the Superstore data set. Analyzing the sales data of a store like Superstore using Tableau can provide valuable insights for decision-making across various operational, marketing, and strategic areas. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, and time periods. If you're using Tableau V9. View raw (Sorry about that, but we can’t show files that are this big right now. Getting the first insights of your Tableau Agent; Embedded Analytics; CRM Analytics; Enterprise; Tableau Public; Our Integrations; Latest Releases; Plans and Pricing Toggle sub-navigation. Preliminary Analysis. And then today, published the 2022 European version with a role field, that links to European flags also Data Analytics Insights; Teams and Organizations Toggle sub-navigation. The dataset used for this project is Sample-superstore-sales, sourced from Tableau Community. Reload to refresh your session. You switched accounts on another tab or window. 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. Inspiration: Lindsay Betzendahl. The book details the role that Tableau Prep Builder and Tableau Desktop each play in data modeling. Univariate exploratory data analysis Gratuito. On-Premise to Cloud and Cloud-to-Cloud data migrations and data integrations services. • Created Advance Layout Using Figma tool. 2) The visualization Dashboard on Tableau. sql. The goal of this project is to uncover insights and trends within the data through interactive visualizations. It analyzes global sales, profitability & customer segmentation. Global Superstore’s clientele, hailing Data Analytics Insights; Teams and Organizations Toggle sub-navigation. Sample Superstore - Sales Performance by Pradeep Kumar G Tableau Superstore RFM Analysis . Latest commit History History. 1. . com This uses the Superstore data set. linked data is an abbreviated version of Superstore data (just about 3000 rows) but with targets. Common Use Cases for Tableau Datasets. This dashboard is based on the Superstore data for 2019-2023. Multiple visualization styles are demonstrated over various 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. - Cagnoro1/Superstores-Sales-Analysis-and-Dashboard What is cohort analysis?Cohort analysis is a part of behavioral analytics that examines data from a large dataset and breaks it down into related groups. rds. Dataset is fairly small and after giving Here 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 our business. world as Steffan mentioned above, however you'll 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. of Data Visualization of Global Superstore dataset using Tableau Desktop - rishabhxshukla/Global-Superstore-Data-Analysis Tableau also provides several sophisticated capabilities that enable customers to learn more about their data, including data blending, geographic mapping, and predictive analytics. This comprehensive guide is essential for effectively preparing, analyzing, interpreting, and communicating data. ; Export Visuals: Tableau allows you to export the visualizations in various formats (PDF, Image, etc. By thoroughly examining the data, we aim 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. Superstore Dashboard by Priya Padham. 8. This stage involves extracting data from various sources, transforming it to fit the desired format, and loading it into the data model. Okay, the data isn't really the point of this blog post (well, it sort of is), but the point is to share my new business dashboard based on this data with targets - Superstore Regional Sales Scorecard. Register and attend any of the sessions in The Vault to learn from our data experts, customers, and trusted partners as they share valuable perspectives, guided lessons, and resources on how to use your data to respond to the most important A Tableau project for Superstore Analysis. File metadata and controls. 1 MB. Date: April 19th, 2024. CAGR Formula : (To Year/ From Year) ^ 1/t -1 . The Superstore dataset has 9994 transitional records and 21 attributes. Color is an effective tool to convey trends but can be overused. here T is a diff range from/ to year. Getting the first insights of your data is easy and how they should be used in Tableau. I have to remove some of the rows in order to mantain ACID properties. It includes sales analysis, geographic mapping, and dynamic visualizations through interconnected dashboards. Build a data culture; Tableau Economy; Community; The Salesforce advantage; Our customers; About Tableau Toggle sub-navigation. Learn / Courses / Statistical Techniques in Tableau. Top. The following COVID-19 data visualization is representative of the the types of visualizations that can be created using free public data sets. Preparing for the analysis. Created by Ryan Sleeper, this workbook aims to train users on design, data visualization This repository hosts a comprehensive analysis of the Superstore sales dataset, visualized using Tableau. zip Download. It involves analyzing large data sets, such as purchase history, to reveal product Download file in10-analytics. Topics Covered: Data Analysis, Data Prep. What Is Tableau; Build a Data Culture; Tableau Economy; The Tableau Community; The Salesforce Advantage; Data Analytics Insights; Teams and Organizations Toggle sub-navigation. Join me on a journey through 72 countries, 359 orders, and a staggering $625,561 in sales. sql containes data in the normalized form. Introduction. 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. Super Sample Superstore. (Tableau has been recognized as one Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. The analysis aims to provide key Detailed case study explanation video link : https://youtu. 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 formatting / labelling / spacing / alignment should be the same as used in the charts. Make an Data Analytics Insights; Teams and Organizations Toggle sub-navigation. Step-1: About. The items This project explores data visualization and analysis techniques using Tableau. It provides a comprehensive analysis of sales, profit, and order metrics across various Superstore Sales assessment. Gen AI. Color Choices, and Fade to Gray. Accompanying step-by-step video tutorial solving these questions is in my YouTube channel Created from the Superstore data that comes with every Tableau download. Let’s go ahead and create a visualization in Tableau and then add forecast to it, to understand it in detail: We will be using Sample Superstore data for this. Tutorial: Get Started with Tableau Desktop - Functional cookies enhance functions, performance, and services on the website. Using exploratory data analysis (EDA) we will help them identify: Their most and least profitable product categories. We will then run the drop_duplicates() function to drop the duplicated rows. Superstore; Upvote I too have the same idea to design something like this with sample superstore data Recently, I have designed Indian Premier League Database for 577 matches which you can try with Tableau. (We save the term column in Tableau Desktop for use in the columns and rows shelf and to describe certain visualizations. Premium Support; Learning and Certification; Professional Services; I am going through the good tutorials that Tableau has provided with the superstore dataset. ). Superstore; Upvote I too have the same idea to design something like this with sample superstore data. Exploratory data analysis, or EDA, is a fundamental step when doing data research. world, created to provide an overview on key metrics to improve superstore operations. If we assume that Cost = Sales - Profit, then Gross Margin (%) = (Revenue - Cost)/Revenue . © Copyright 2024 Salesforce, Inc. Who are the DataFam and what do they do on Tableau Public? Watch a 2-minute overview →. • Analysed Total Revenue, Profit, and Turnover for Each Region. It involves analyzing large data sets, such as purchase history, to reveal product Here is an example of Superstore data: standard deviation: When you have a normal distribution, about 68% of your data lies within the width of two standard deviations from the mean (one standard deviation on each side). Getting the first insights of your data is easy in Tableau: you’ll be Download file in10-analytics. The dataset These are all localised versions of Superstore Sales released with Tableau v2022. Learn how to connect to data sources, revise the properties of a data source, and save those customizations. To learn more about visualization and data analysis using Tableau, please refer to the following guides: Building Dual 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 This session utilizes our Superstore data set that is included with your Tableau Desktop download. Blame. Using Business Intelligence tool Tableau the Global Superstore Story has been created. Public data sets are ideal resources to tap into to create data visualizations. • Accomplished this Project in 3 days • Please Click on this link to visit my project What is a field or column? A column of data in a table comes into Tableau Desktop as a field in the data pane, but they are essentially interchangeable terms. Once, the Vizql provides you the forecast, you can add seasonality, forecast length, prediction level. Connecting to data video: Calculations video: 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. Getting the first insights of your data is easy in Tableau Superstore Dashboard Walkthrough from the sample Superstore data found on https://public. Published: Jun 16, 2021 Updated: Dec 6, 2022 English (US) 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. Connect to your data. This corporate style viz is a different take on the classic Tableau Superstore data set. Getting the first insights This repository contains Tableau workbooks using the superstore_data dataset, showcasing retail analytics, interactive dashboards, and storytelling techniques. This includes the state, region, order date, shipping date, product ordered etc. The dashboard is interactive and allows users to filter data by year and region, while dynamically 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. I'm trying to calculate the original price for each individual Product Name, the profit for each item, and the COGS for each item. Author: Manish Jha. Follow Following Unfollow Like 2 Liked 2 Unlike. CIS-5270 BUSINESS INTELLIGENCE 1 Superstore Data Analysis By: Monika Mishra Nanjesh Ramesh CIS 5270: Business Intelligence Submitted to: Professor Shilpa Balan 2. md file for the tasks covered in this Notebook. Color code the chart to identify Categories and Segments that are above or below target. Connect with your customers and boost your bottom Tableau_Superstore-Data-Analysis This Tableau workbook contains 5 sheets with demonstrate various functionalities like LOD Expressions, Sets, Context filters, Colour schemes and Rolling Months as shown below: Tableau is one of the most powerful data visualization tools on the market. Contribute to GAJABDADDY/Sample-SuperStore-Data-Visualization-and-Analysis-Tableau development by creating an account on GitHub. Created by Ryan Sleeper, this 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 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. This project focuses on creating interactive data visualizations for the Global Superstore Dataset to provide actionable insights for business decision-making. /r/Tableau is a place to share news and tips, show off visualizations, and get feedback and help. Contribute to Nikhil-ssd/Superstore_sales_analysis development by creating an account on GitHub. I was asked in an interview if some products are to be discontinued from superstore data set, what are those products (taking overall fields into account throughout the years). Exploratory data analysis, or EDA, is a fundamental step when doing data superstoreDump. English (US) Deutsch; English (UK) English (US) Español; Français - Developed interactive Tableau dashboards to analyze fictional Superstore sales data, focusing on sales performance, regional trends, and customer segmentation to drive strategic business decisions. Tableau's powerful The Super Store dataset contains data on order details of customers for orders of a superstore in the US. Explore it and a catalogue of free data sets across numerous topics below. 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). Created by Ryan Sleeper, this workbook aims to train users on design, data visualization strategy, and how to The procedure uses the Sample - Superstore data source provided with Tableau Desktop. Upvote Upvoted Remove Upvote Reply. be/oQTkR9xP4ps View the detailed project explanation report on github using link: https://github. The following sales performance analysis will follow the 6 steps of Data Analysis which are: Ask, Prepare, Process, Analyze, Share and Act. Look at sales by region, segment, category, and year with just a few clicks. No. Code. Tableau is one of the most powerful data visualization tools on the market. The answer gives a very useful view of individual sales for each discount level and profit ratio. 7. Mission; Research; Awards and recognition; Tableau Foundation; Equality at Tableau; Products Toggle sub-navigation. 2 - Join & Blend - Category & Sales Book 3. This project is divided in two part: 1) The customer segmentation Analysis using SQL. "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 Explore dynamic visualizations and data insights with Tableau's power. Analysis were summarized on three interactive dashboards and presented with a storyline. Starting with raw Excel data, we used Tableau to make four great-looking dashboards on. The first step is to connect to the data you want to explore. Greetings, LinkedIn community! 👋 I'm excited to present the EDA (Exploratory Data Analysis) findings regarding sales of different products in different regions from a superstore (United States). 3 - Join & Blend - Category & Sales & Sales Target Book 3. This Tableau dashboard was created using the Sample Superstore dataset. - Tableau-Superstore-Data-Visualization. This corporate-style visualisation is a different take on the classic Tableau Superstore data set. From the Book - Practical Tableau by Ryan Sleeper, Sample Superstore Data Viz . Product performance. Explore insightful dashboards, charts, and graphs that provide deep insights into sales trends, product performance, regional analysis, and more. Inspired by the work of Pradeep Kumar G, Priya also built a beautiful business dashboard using Tableau’s Superstore to visualize sales, profits,and so much more! Data viz: Superstore Dashboard . The project aims to explore the performance of different product subcategories. This dashboard was heavily inspired by the work of Ellen Blackburn. These questions determine the category (dimension) and number (measure) on which to base the analysis. - nileshely/SuperStore-Dataset-2019-2022 SuperStore Dataset 2019-2022: Data Analysis Report. - ARAPIL/Superstore Jupyter Notebook for Superstore Sales Data Analysis. 0%. Superstore data source provided with Tableau Desktop. Explore Dashboards: Open the Tableau workbook and navigate through the interactive dashboards to explore sales data. #Superstore #Dashboard The SuperStore Dataset 2019-2022 contains 9,994 sales records across 19 fields, detailing orders, customers, products, and financial metrics, providing insights into regional sales, product categories, and customer behavior. Additionally Analysis Tasks. What all business problems you can 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 A global superstore has given us the task to identify what works best for them in terms of sales and making profit. Develop a Tableau dashboard utilizing the Sample Superstore Here is an example of Superstore data: compare box plots: Your manager is intrigued by your box plots skills and wants to know which state made the most median profits by selling tables. 8 Charts You Must Know To Excel In The Art of D Cross Sell Prediction : Solution to Analytics V A Comprehensive Guide on Advanced Microsoft Exc K-Means clustering with Mall Customer Segmentat If you're using Tableau Cloud and Tableau Server to explore data and edit views, see Use Tableau on the Web. A top 10 ranking Those are the kinds of relevant questions you can ask and answer easily with Tableau. Published: Dec 25, 2019 Updated: Nov 25, 2022. Raw. Tableau Assignments c) Implement filtering options for year and region, allowing users to further refine their analysis. Super Store Data Analysis by Sai Sharath Aavula. Superstore Sales assessment Succeed now with the tools you need to make data actionable. Boost your skills for modifying data connections and working with multiple data sources. The Sample - Superstore data set comes with Tableau. - Ajcr007/Tableau-Superstore-visualization Exploratory superstore data analysis . Hover over data to see the details instantly. Functional cookies enhance functions, performance, and services on the website. com The dataset required basic data cleaning and restructuring via Python. You’ll learn about the use of the summary card, the difference between sample Tableau Agent; Embedded Analytics; CRM Analytics; Enterprise; Tableau Public; Our Integrations; Latest Releases; Plans and Pricing Toggle sub-navigation. The data analysis of superstore data using tableau helps to answer various insights from the data using different visualisation created usng tableau for different scenario. 01+, Revenue = Sales, Margin = Profit Ratio This is a small project of analysing the superstore performance in United States (US) by using Tableau to create a story (a collection of dashboards). Welcome to the Superstore Sales Analysis repository! This project offers an in-depth analysis of sales data from a fictional superstore, using Tableau to uncover insights into sales Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. Connect with your customers and boost your bottom line with actionable insights. This article focuses on the 14 Best Tableau Datasets for Practicing Data Visualization, essential for helping you gain valuable experience. All rights reserved. tableau. Topic Page No. xlsx. drop_duplicates(inplace = True) # Find the no. Premium Support; Develop a Tableau dashboard utilizing the Sample Superstore dataset, as shown in below figures. Exploratory data analysis, or EDA, is a fundamental step when doing data research Here is a step-by-step approach on how to do a quadrant analysis plot in Tableau using the Superstore sales dataset so as to identify the best performing categories in terms of sales and profit: Step 1: Open a new Tableau file and Dived deeply into the overall sales and profitability for the firm and determined crucial areas for enhancement with different plotting methods Book 3. d) Ensure that the dashboard consistently displays the top 5 products based on the selected metric, regardless of any filter actions or dropdown selections made by the user. Analysis of the Tableau is a data analysis and visualization tool that enables users to connect, visualize and share data in an easy-to-understand and meaningful way. Starting with raw Excel data, we used Tableau to make four 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. Course Outline. sorry you are misinterpreting the superstore data - the "Returns" in superstore data are at the order id level - not the quantity level . Tableau is a very powerful BI tool, a tool which gives you insight about your data by analyzing it. Before starting with EDA, it’s important to check and explore the data for nulls, blanks, etc. The story consist of relevant worksheets and an interactive dashboard to solve the case study where user can interact with the story created to find answers to the business Some examples include: cookies used to analyze site traffic, cookies used for market research, and cookies used to display advertising that is not directed to a particular individual. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. Breadcrumbs. Dump was taken using PostgreSQL. In this first week, we introduce you to the Tableau Data Analysis Process framework. Use Tableau Agent; Embedded Analytics; CRM Analytics; Enterprise; Tableau Public; Our Integrations; Latest Releases; Plans and Pricing Toggle sub so I am trying to build the same CAGR% functionality in the superstore data set. Interactive Dashboard Topic: Data Analytics and Business IntelligenceCourse: Management Information System (MIS)Adjunct Professor: Sultan M ShahedData Source: TableauDashboard: ht Hi Veronica, Thanks for taking time to provide an answer. Please refer to the README. With dashboards that are this easy to understand, everyone in your organization can make more data-driven decisions. It also explores the components of Tableau Server and Cloud that make data Are my calculations in Columns W, Y & Z correct in calculating the original item price before discounts (Column W), the original profit before discounts (Column Y, and the Cost of Goods (Column Z). xls file. The main objectives are to explore the dataset using Tableau's data visualisation tools and create a story which is a Before analyzing the data the quality of the data has been checked using python. rsuu rjkxq fphv ravmxuw avmipe zyue ojqi eohvb jsyhpu srmy