Superstore dataset analysis tableau excel. Identify Profit Centre.

Superstore dataset analysis tableau excel Identify Profit Centre. Processed & cleaned the data-set using Excel formulas & functions. Using calculated fields, functions & filters in Tableau, performed Exploratory Data Analytics & Data Visualization via 16 Information Dashboards. Since my dataset was already in Excel format, the Excel choice was chosen. 1 MB master. A table was created by performing a query (shown in the file SQL query). S. Here, you select the connector (how you will connect to your data) that you want to use. Maxime Cohen (McGill University), Prof. This article is a one-stop solution for all data enthusiasts to understand Tableau and start working on some interesting datasets for tableau projects. It includes 15 Dashboards story telling about different KPIs. See its possibilities in a demo presentation we have put together using European Superstore Data. In this video we show you how to use Excel as a data source for Tableau so you can visualize your Excel-based data. This is an Excel file. Master MS I went to Kaggle to find a dataset where I could create the project from start to finish using Excel. 1 Dataset Details:- • Domain: Retail • Datasets: Superstore. Jul 1, 2024 · It is difficult to get excel datasets for predictive analysis. x versions. Try Tableau for Free; Buy Tableau Now; English (US) English (US) Deutsch; English (UK) Español; Français (Canada) Français (France) Italiano; Let’s first build the dataset. Dataset is fairly small and after Jun 28, 2023 · From the start page, connect to the Sample – Superstore excel file. Category as Category, Ca. Upon examining the dataset, we find fields such as Category, City, Country/Region, Customer ID You signed in with another tab or window. - EU-Superstore/Sample - EU Superstore. This is because Excel is most suitable for datasets of small to Here is an example depicting Tableau Data Blending using the Sample-Superstore dataset. Why is it such a good data set? Necessary elements: Superstore has dates, geographic data, fields with a hierarchy relationship (Category, Sub-Category, 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: https://bit. If you put the tds file in your version of this directory: Navigate to and open the Global Superstore Orders 2016 Excel file: After connecting to the data source, you will be taken to the Data Source screen. , specializes in furniture, office supplies, and technology products. As a student, tableau practice projects help you excel in the knowledge of various tools used in data visualization and optimization of the results based on the customer requirements. An interactive dashboard was developed to compare product sales & profits for segments in different European Countries. We shall be working with a sample data set names Superstore dataset, that comes pre-loaded with Tableau. - Hello, I am working with the Superstore dataset. Let’s begin with the data, the core part of any analysis. From this screen, we can select which tables (in this case, sheets) that we want to Data Preparation: Preprocessed and cleaned the Sample - EU Superstore dataset to handle missing values, outliers, and data inconsistencies. Robert Breen (Tableau Dataset containing Sales & Profits of a Superstore Dataset containing Sales & Profits of a Superstore. English (US) Deutsch; English (UK) English (US) Used Tools: Tableau; Python; Excel; Exploratory Data analysis: I have used Excel and conducted analysis on the dataset. Superstore; answers to questions like this because then if someone is doing an exam or certification then it's not a test of Tableau knowledge, but how The Superstore Sales dataset is a public sample dataset provided by Tableau. Color code the chart to identify Categories and Segments that are above or below target. this viz highlights many features of Tableau, and shows that any dataset can be used to create a visually appealing dashboard. From the start page, connect to the Sample – Superstore excel file. SQL queries were written and executed to extract, manipulate, and analyze the data stored in the "Superstore" table (database). The dataset contains information about sales, customers, products, and orders from a fictional Download Open Datasets on 1000s of Projects + Share Projects on One Platform. With the need to learn Tableau as part of analytical skillset, it becomes essential to understand where to start and how to start simultaneously. Thrive with Real-Time Store Analytics. 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. Analyzing sales data from the Superstore Sales Dataset using SQL (MySQL) and Tableau involves several steps. Steps to perform EDA on Sample superstore Dataset using Excel. Details . The start page gives you several options to Place the Dataset: Ensure that Superstore sales dataset. Close the workbookThe final view:Connect 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 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. In the map, hover over a bubble to see the values for that area. Superstore Sales Analysis with Tableau📊🚀 Melvin Agastin 5mo Download Power BI Sample Data Set for practice purpose, Power BI SuperStore, Map & Time Series Data Set excel sheet are available. "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 The store operations Tableau retail dashboard shows an overview of operations with trends in sales and growth in sales, customer traffic and conversion rates, and the average size of transactions. com/RavulakolluNarender/EDA-on-Samp This report provides an exploratory data analysis (EDA) of the Superstore sales dataset, which includes sales data for a variety of products over a period of four years (from 2018 to 2021). By thoroughly examining the data, we aim Apr 18, 2024 · 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. It is free to use as an Excel file that you can download and use. rfm_df. New Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Sales Dataset. xlsx Data Blending File One. No harm if you intend to keep using it regularly anyways! Hope this helps, Katie I have attached the data set below for the above questions. They also want to know what category of product that contribute Small dataset analysis. . This database can be described by the following ER Diagram:. Some possible sources include data repository websites, academic institutions' databases, and platforms that provide sample datasets for learning and practice. Rename the sheet as Subcategory-wise Sales. Published: May 26, 2017 Updated: 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. Global Super Store Dataset. However, I am noticing some discrepancies in terms of what the tutorial is For Superstore data, the actual file can be found in the folder My Tableau Repository --> Datasources-->Folder Version (2020. View raw (Sorry about that, but we can’t show files that are this big right now. quantity) as Total_Sold, round(sum(O. Via the Files tab, you can upload a data set manually. training / visual-data-analysis-with-tableau / datasets / global_superstore_2016. Data analysis: Following the whole data analysis process i. Tools Used: Tableau Public 2023. This is a write-up of how I created a Tableau dashboard from the Walmart Retail Dataset. A good data set has dimensions and measures. Step 1: Connect the dataset to a new Tableau Workbook. xls data. 1. 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. Note: Geographic locations have been altered to include Canadian locations (provinces / regions). from data cleaning to interrupting the Data Analysis using Tableau. If you are using Tableau Desktop, the Sample Superstore dataset Tableau Sample Data Free Downloads and Links Sample - Superstore for Tableau 9. This is my attempt to visualize the Sample Super Store Dataset by Tableau. 3 6,806. Aggregation. In this article, I made use of a four-year Superstore sales dataset that I obtained from Kaggle. xls • Dataset Type: Excel Data • Dataset Size: 20k Building Blocks of Power BI. For this project, I targeted specific skills in Excel, SQL, and Tableau that I previously There’s also a Superstore Datasource sample set if you want to play with some sample data. Tableau Superstore Dashboard Walkthrough from the sample Superstore data found on https://public. Save the workbook as Lesson 3. Links:GitHub Repository: https://github. 0%. 1 MB. pdf, JSON, and many others. 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. Sales, profits, shipping modes were analyzed on country, state and regional bases. Explore sales and profit distribution by state, track monthly sales by segment, and assess total sales by location and manager. The process for this analysis includes; Business questions About. In our case the sample-superstore-dataset is an excel file. Latest commit History History. Butterfly chart, Lollipop chart and Donut Chart usages with example. This gives managers Tableau makes software for data analysis and visualization that is easy to use and produces beautiful results. xlsx" file on websites that offer datasets and resources for analysis or research purposes. com This uses the Superstore data set. xls Bird Strikes. Excel dashboard created with Tableau's superstore dataset - Matt-Mike/Excel-Superstore-Sales-Dashboard In this task Exploratory Data Analysis (EDA) of given dataset (sample super store) has been performed to identify the hidden relationships between the differ Suppose you want to find the next quartile (or quartiles); Tableau Dashboard public has a “Forecast” feature to predict the next few data points based on the data provided. Click on "Microsoft Excel" 2) Select the file downloaded from the Kaggle link provided above. a new popup where Tableau asks you to select the file type you want to import from your local storage to perform data analysis. 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 Open Tableau Desktop and begin. Connecting to the Sample-Superstore data set. xlsx. xls World Bank 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 May 26, 2017 · This is my attempt to visualize the Sample Super Store Dataset by Tableau. Creating a “What-if” analysis in Tableau typically involves using parameters and calculated fields to simulate different scenarios based on certain inputs or assumptions. xlsx’, index=False ) Exploratory Data Analysis and Visualization. world as Steffan mentioned above, however you'll have to create an account/profile, etc. In this Tableau case study, I delve into the intricate world of customer profitability using the SuperStore dataset. Loading Library and Importing Dataset into R Studio. xls: This Excel file contains the Superstore sales dataset that serves as the foundation for our analysis. 5. xls Sample - Superstore for Tableau 8. The dataset that I’ve used here is the Superstore dataset that is publicly available and everyone might be aware of. 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. Long-Term-Unemployment-Statistics. Watch generate a dataset using SQL and use the dataset to create a Tableau dashb Superstore is one of the sample data sources that come with Tableau Desktop. 3 - Join & Blend - Category & Sales & Sales Target Book 3. txt, . Takeaways from this article. xlxs; Time Series sample data. Financial Welcome to the Power BI project for the global store dataset! This project provides a detailed report on sales transactions across branches worldwide. My analysis aims to unveil key insights that can guide business decisions and Tableau Public. It analyzes global sales, profitability & customer segmentation. You can learn about how to connect the dataset to tableau and work on the sample superstore dataset. xlsx Feb 17, 2023 · The data for this analysis was sourced from the Sample Superstore dataset in tableau. If you’re interested to Here we are analysing the super store excel data set . Note that you can use either Tableau Public or Desktop to find the answer. Visualizations: A visualization is a visual representation of data, such as tables, column charts, scatter charts, gradient-colored maps, etc. Sub_Category as Sub_Category, Product_Name, sum(O. xls • Dataset Type: Excel Data • Dataset Size: 20k The dataset used for this analysis is the Sample Superstore dataset, which includes sales, profit, order, and customer data from 2014 to 2017 across different regions in the United States. Each data set is available to download for free and comes in . Once you've signed in or filled out the form to watch a video, click "Watch Now" and A concept related to what makes up a row is the idea of aggregation and granularity, which are opposite ends of a spectrum. We removed all the data from it that is not required and added the « Link » column in the superstore data table. please can I get a comprehensive CRM (customer online journey) or Supply chain dataset (Procurement-Logistics- inventory-sales) for retail industry. 3 days ago · This is a practice project which I did to polish up my Excel skills. I'm running Tableau 2024. AmazingMartEU2Geo. with Item as (select Ca. The supported formats include . The description of data is as follows: Sample - Superstore for Tableau 9. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. It also has a Returns sheet and a People sheets. Nov 28, 2019 · Download various types of Power BI Excel Sample Data for Practice purpose. Here, the Sample-Superstore dataset has 2 sheets, Orders and People. New York city has the highest number of sales The data analysis was divided into sales performance analysis, product analysis, customer analysis, and region analysis. twb to open the Tableau workbook. Profit),2) as Total_Profit FROM Prof. Accompanying step-by-step video tutorial solving these questions is in my YouTube channel: youtube. If this answers your question please mark as Best Answer or if helpful please Upvote. You switched accounts on another tab or window. My Data Cleaning Process Using Excel As a Tool. => 4 Sale datasets (I am going to split them into 5 different dataset like 2014–2015–2016–2017 sales data) the reason why we are working like this is that every year we are going to have 1 Download a data set and connect to it from Tableau to start creating. Data Exploration: Conducted exploratory data analysis (EDA) using Tableau to uncover patterns, trends, and correlations in the data, leveraging interactive visualizations and dashboards. The data is that of a superstore. E-commerce analysis in Tableau: A Practical analysis of superstore sales data using excel As we know, Excel is one of the most widely used computer programs in the world and is designed to help people perform various tasks that involve The superstore dataset was downloaded from kaggle using phyton, furthermore, library for deep analysis of this project used pandas, matplotlib and seaborn. Data sets may be available in English only. The procedure uses the Sample - Superstore data source provided with Tableau Desktop. Open Tableau 10. In this tutorial, we will explore how forecasting works in Tableau and walk you through the process of creating a forecast visualization using the Superstore dataset. We downloaded the Superstore dataset from Kaggle, which is a free and open-source platform for data analysis. From the Show Me window, select horizontal bars as a chart type. - GitHub - owaiz99/Zomato-Restaurants-Analysis-using-Excel-Sql-PowerBI-and The Global Super Store Analysis project provides a clear understanding of business performance across various dimensions. And then today, published the 2022 European version with a role field, that links to European flags also This project involved analyzing Zomato restaurant data using advanced Excel functions and SQL queries, and creating interactive dashboards using Power BI and Tableau. Which contains the . For the demonstration of steps, we will use the sample superstore dataset. The building blocks of Power BI are: 1. This is based on the retail dataset who This is a set of practice questions for problem-solving with Tableau Desktop. Understand when to leverage Tableau's prowess for big data exploration and interactive dashboards, or harness Excel's familiarity and customization for smaller-scale analyses and financial modeling. EU Superstore data was analyzed and visualized. Leverage interactive features for actionable insights and strategic decision-making. If you only have dimensions, you're mostly limited to counting, calculating percentages, or using the Count of Table field. I imported the global superstore dataset into Tableau. 1. In this example, you can use the Sample Superstore dataset available in Kaggle to perform your forecasts. Introduction to My IMDb Movie Dataset Analysis Project Documentation: Jan 28. /r/Tableau is a place to share news and tips, show off visualizations, and get feedback and help. It is a dataset downloaded from Kaggle in CSV format. Or at least from this repo here: Datawonders | Superstore Datasources These are all localised versions of Superstore Sales released with Tableau v2022. However, we will be downloading the file from here so that we can get an idea of connecting to an Excel data source. This dataset is easy to use because it is “clean”. The dataset of choice was the Superstore Sales dataset. Here is a preview of the inventory records dataset: To practice data analysis with this inventory records dataset in Excel, you can complete the following tasks: Task 1: Calculate the turnover rate (units sold/stock-in) for each product. xlsx Download. Product performance. This helps a bunch! Expand Post. Breadcrumbs. We I am going through the good tutorials that Tableau has provided with the superstore dataset. 4 - Join & Blend - Performed Data Analysis on a UK-based online retail store data-set. ). Discount: 8. After analyzing the dataset, the following insights were discovered. All of the reports on the page also show the Fashions Direct data. com/app/resources/learn. Identify Market as well as country wise loss & find products in which sub-category are in loss in those countries. Courses. Select “Microsoft Excel”. New Sheet: If we want to create a new worksheet ( blank canvas ) we can do using this tab. Open the Tableau Workbook: Double-click on Superstore sales analysis. refers to how multiple data values are brought together into a single value, such as counting all the Google searches for Pumpkin Spice or taking the average of all the temperature readings around Seattle on a given day. It's a Business ready Dashboard that allows employees to make data-driven decisions by evaluating each Metric. Excel and Tableau can be your go-to tools whether you’re a small business owner who wants to track expenditures or a data analyst tasked with analyzing trends at a big company. Download Tableau Public: Use the link to download tableau public. Get expert-built dashboards to address retail-specific business needs with Accelerators on the Tableau Exchange. Many visualization types require dimensions and measures. It is a Tableau Project for Practices. Download file Sample-Superstore-Subset-Excel (16). In this first week, we introduce you to the Tableau Data Analysis Process framework. Introduction: Welcome to the Global Superstore Dashboard! H ere, I uncovered the symphony of global commerce through data analysis. xlsx onto my desktop. Visualizations, built using Tableau & Flourish, highlight sales trends, profitability, & customer behavior insights - Data-Visualization-Tableau-and-Flourish-Analysis The table contains data on a sample superstore dataset with 9994 rows and 14 columns, including information on ship mode, segment, country, city, state, postal code, region, category, sub-category, sales, quantity, discount, and profit, which can be used to analyze and gain insights into various aspects of the superstore's operations and performance. Blend the data with the Saved Sample - Sales Target data set to bring in the Sales Target measure. 0 and when trying to connect to the Excel file for the sample superstore data set, I keep getting the red Developed Walmart Retail Data Dashboard which tracks the Profit, Sales and Discount in different categories. Excel is best for handling small datasets requiring simple calculations and analysis with low complexity. Once the email id is entered, the download will automatically begin. xlsx Orders-With Nulls. Also, applied Predictive Analytics & Statistical Models to develop 4 Insightful Dashboards. Something went wrong and this page crashed! If the The dataset used in this project was downloaded from the tableau community. Introduction. After 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. Starting with raw Excel data, we used Tableau to make four great-looking dashboards on. Superstore KPI Analysis Dashboard via Tableau. Many classes can be followed in this pre-employment program, I joined the class to learn data analysis using Excel and Tableau. The user can clearly see the important points and look at the gray portions if they want to do any deeper analysis. Business; Superstore Sales: Contains information about products, sales, and profits that you can use to identify key areas of improvement within this fictitious company. tableau. Hello Amara, Here I’m attaching a sample dataset for CRM and Supply chain. - WuCandice/Superstore-Sales-Analysis For Tableau V9. (spatial file for Boroughs and Excel file of emissions Cleaning the Columns. If you do not have You signed in with another tab or window. - Power BI Docs Download a data set and connect to it from Tableau to start creating. Join me on a journey through 72 countries, 359 orders, and a . Walmart store sales analysis. 6. The only change I made was to add 36 months to the Order Date field and the Shipping Date field (on the orders tab). They wants to know the total revenue generated by the store. Sales and Profit are Moderately Correlated; Discount and Profit are Negatively Correlated; Overall Analysis. It is a sample dataset for the United State Superstore Sales. Knowing how to connect is essential to ge Introduction to the dataset. The data has 51290 rows, and 24 columns. SUM( [Profit] ) / TOTAL(SUM( [Profit] ))*100. Empower stores with actionable insights to manage inventory, meet evolving customer expectations, and navigate changes in today’s retail market. In this project, I analyzed a dataset from Tableau of a retail company. Import and IMDb Movie Dataset Analysis Using Excel. Jumpstart analysis with Tableau Accelerators. We look deeper at the state-specific sales by density mapping and identify that the highest sales (in Data Analysis Exercise using SQL, Tableau and Excel. Daniel Guetta (Columbia Business School), and Matthieu Reed (McGill University) recently wrote a case entitled "Modern Retail Analytics: Data Visualization Using Tableau. , which can represent your data visually. The following sales performance analysis will follow the 6 steps of Data Analysis which are: Ask, Prepare, Process, Analyze, Share and Act. You signed in with another tab or window. Number of Records – 51, 290 Unique Product Categories – 3 Unique Product Sub_Categories – 17 Unique Product_Name - 3788 Unique Customer Segment - 3 Unique Customer_Name – 795 Unique Customer_ID – 1590 Unique Order_ID – 25,035 Unique Country – 147 Unique Region – 13 Unique Market - 7 English (US) Sample Superstore DatasetPublished: Apr 15, 2023 Updated: Apr 15, 2023 global_superstore_2016. xlsx and . In Part 1, we will do an Exploratory Data Analysis on a seemingly simple groceries dataset. Top. Flexible Data Ingestion. 3) The dataset has 3 sheets - Orders, People and Returns. Podcast. This is the flow in flow chart. 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. Download and explore these datasets at your own pace. ) Data scientists looking to expand their project portfolio can use Excel to collect, clean, transform and visualize data. In the next section, the article delves deeper into setting up RFM Analysis in Tableau. So we click on Microsoft Excel. xls World Bank Indicators. 2 my answers are : 1. Code. Use the Saved Sample – Superstore dataset. 8. Right here. I downloaded the Global Superstore Orders 2016. Power BI Desktop With the information provided below, you can explore a number of free, accessible data sets and begin to create your own analyses. e. Download a data set and connect to it from Tableau to start creating. Tableau will automatically connect to Analysis from Heatmap. The main reason which leads to loss is Discount as if some areas lead to loss due to more discounts, and some areas lead to fewer sales due to fewer discounts, hence it needs to be improved. Thanks Adam, great work. Getting the first insights of your data is easy in Tableau: you’ll be creating and interpreting This project is on sales analysis of a Brazilian e-commerce platform called Olist Stores. On the start page, under Connect, click Microsoft Excel. Once you've signed in or filled out the form to watch a video, click "Watch Now" and This repository houses a collection of Tableau visualizations created using the Superstore dataset. I had been using an ancient 2018 license for years, but deciding to check out newer items and didn't realize how crippled Tableau Public is but I can't afford $70/month to play around with the new Tableau Desktop license. Explore insightful dashboards, charts, and graphs that provide deep insights into sales trends, product performance, regional analysis, and more. SuperStoreUS-2015. Understanding the logic : Power BI - Excel Sample Data Set for practice; Cumulative Total/ Running Total in Power BI; How to Calculate Year over Year(YOY) Growth % in Power BI? Most Important DAX Interview Questions and Answers; Creating a Table Heatmap in Power BI; Create a Measure table in Power BI; Column quality, Column distribution & Column profile This example shows how to connect to Sample - Superstore data in Tableau Desktop. One of the assignments in my class was to create an interactive A comprehensive Power BI dashboard utilizing the Global Superstore dataset, providing robust and dynamic data visualizations. csv, . You can try searching for the "Global Superstore 2017. In previous article we use the text file . xlxs; Global Super Store Dataset; Global Super Store Dataset 2016; Map sample Data. 3. Using Tableau, Story has been created to solve the global superstore case study. there. A book is a concept with attributes such as author, title, and genre. Current Sheet: The current sheets are those sheets which we have created and to those, we can give some names. Reload to refresh your session. It 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 Practice Your Data Analysis Skills as a Superstore Data Analyst. Let’s The Analysis ToolPak tool has been added to Microsoft Excel and provides functions for advanced data analysis that are not included in the standard Excel functions. Flow Chart by Kelechi Filtering in Excel: We can filter our data and can only display records that we need for analysis. 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. (spatial file for Boroughs and Excel file of emissions A Time Series Analysis and Forecasting, using ARIMA and Prophet models, on a superstore dataset. In the Open dialog box, navigate to the Sample - Superstore Excel file on your computer. Become a Tableau expert with SuperDataScience. The following COVID-19 data visualization is representative of the the types of visualizations Get free sample datasets to practice Tableau. Tutorial: Get Started with Tableau Desktop - Tableau . Analysis of the The Global Superstore dataset provides a comprehensive glimpse into the retail landscape, encapsulated within an extensive Excel file featuring three distinct sheets: ‘Orders,’ ‘People 15 Sample Tableau Real Time Projects for Practice in 2021. to_excel(‘data_olist_RFM. RowID column duplicates the default excel rowID for each attribute in the dataset, while the country column was removed because all data in the superstore dataset are from the same country namely The Superstore Data Analysis Project focuses on extracting insights from a retail superstore dataset. Learn more. pdf: This document offers a detailed explanation of the project, including Sample data that appears in the December Tableau User Group presentation. Becoming really familiar with the structure and content of the superstore dataset is like learning the Rosetta Stone of Tableau. The Superstore These are only Excel files @Dianne Venable (Member) , you could just as easily update the data in them to suit your needs. As I grow as a data analyst, I want to continue challenging myself by tackling new learning opportunities. csv is in the same directory as the Tableau workbook. Something went wrong and this page crashed! This is a sample tableau project for practice. Tool Used: Tableau; Steps Taken: Initial questions prior to viewing data; Source Data Import (CSV from data. I am having a difficult time making sense out of the data for both the Superstore excel spreadsheet and the superstore extract provided. By exploring different aspects of the dataset, users can gain valuable insights into sales All the tools will give us same output but we have to know when to use which tool. To analyze and derive insights to answer crucial questions and help the store make data driven decisions. xls dataset, data cleaning and quickly Being an exhibition dashboard, it has plenty of extremely advanced features unavailable by default in Tableau. OK, Got it. - Nrj27/Sample-Superstore-Dataset-Analysis About the data set. Reply. The purpose of this writing is to use the main features of HEARTCOUNT and help you apply what you’ve learn in your real dataset. Each data table includes 1,000 rows of data that you can use to build Pivot Tables, Dashboards, Power Query automations, or practice your Excel formula skills. #tableau visualization#superstore dataset#tableau#visulization #Ba how to plot orders received and orders shipped by weekday on one chart using superstore dataset. 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. Item: Fellowes Mobile Numeric Keypad, Graphite. Understanding RFM Analysis in Tableau. Open Tableau. Data Structure Multiple tables # Of Records 38 # Of Fields 12 The superstore dataset is a great learning tool for any Tableau user. Smaller data sets are also easy to store, share, and publish, and are likely to perform well. In this article, we will be dealing with Walmart’s sales dataset and will follow all the data analysis steps on the same and as a result, will try to get some business-related insights from the operations we will be performing on this dataset. xlxs; Quick start with below links. Show more actions. Armed with Excel, Power Query, and Power Pivot, we delved into the world of data, sculpting it into a masterpiece of insights Basic Excel Course; Advanced Excel Course; Basic VBA Course; Basic Power BI Course; Some of the common “Measure” data types are “Sales,” “Profit,” and “Discount” from the Sample-Superstore dataset. Dataset and use case presentation Data analysis : 1. Total Transaction Gap between States is Very High and Avg Freight Value is more Expensive outside Sao Paulo And for the analysis as a data analyst, tools such as Tableau, Excel and SQL will be utilize for the sales analysis. Super Store Sales Analysis. This What are “Excel Datasets”? Excel datasets are collections of data that are stored and organized in an Excel spreadsheet, which is a commonly used software that enables users to create, manipulate and analyze data in a Link to access the Excel file for the dashboard: Excel — Superstore Analysis Sales Performance Dashboard From the dashboard above, we can gain a clear understanding of several key insights: Analysis Tasks. In this project, we have analyzed an Olist Store dataset, that provides a centralized location for managing and analyzing various aspects of an online business, such as sales, customer behavior, and inventory for Business This video demonstrates how to create a Dashboard using different types of charts including a butterfly chart, a donut chart, a scatter plot and more (step b Tableau is one of the most powerful data visualization tools on the market. No matter if you’ve done any certifications in tableau, or learned it by yourself, having some projects in your hand will surely increase your knowledge, enhance 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 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. Some of these are listed as follows: Some of these are listed as follows: Date Selection Options for selecting the Current/Last Full 1/2/3/4 Week/Month/Quarter Period and compare it with the Previous/Last Year Same To Date/Full Period. The dataset contains customer order details for a superstore over a period of four years, from 2018 to 2021. Published: May 26, 2017 Updated: Apr 22, 2023. For this purpose, we will use the superstore Dataset that we will blend with the polygonic dataset (we will make it polygonic !). To begin our analysis, we need to gather the data from a reliable source. Here’s a general guide on how to approach this task: Step 1: Data Import and Database This is a sample superstore dataset, a kind of a simulation where you perform extensive data analysis to deliver insights on how the company can increase its profits while minimizing the losses. Ever. The project involved importing and preparing the dataset, creating five worksheets, and analyzing sales and profit by region, state, category, sub-category, and manufacturer across different areas. Tableau will automatically connect to Sep 22, 2024 · This Tableau dashboard was created using the Sample Superstore dataset. The dashboard is interactive and allows users to filter data by year and region, while dynamically 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. We will cover basic Excel for data analysis, basic SQL, and basic data visualizations using Tableau. )-->en_US-US. what was the Moving Average of Sales in June of 2012? The questions below use the dataset Sample - Superstore Subset (Excel), which is included in Desktop 8 Consumer and product Analytics on Global Super Store Data. Here I am using Play Store data taken from Kaggle. Explore trends, patterns, and key metrics to inform strategic business decisions and drive growth. 7. Then apply conditional formatting to highlight products with the highest and lowest turnover rates. python data-science machine-learning anaconda numpy excel office pandas data-visualization data-analysis Pivot tables are a valuable tool for data analysis and decision-making in Excel. During our initial assessment, we observed that the columns “Row ID+O6G3A1:R6”, “Order ID”, “Order Date”, “Ship Date”, “Ship 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. under analysis select Total or columns to get the answer for total profit % of top 10 . xls at master · ARAPIL/EU-Superstore Data Source: Using Data Source we can add new data, modify, remove data. The analysis and visualizations provided in this project aim to offer stakeholders a comprehensive understanding of Global Superstore's sales data. - The COUNT Distinct function was used to get the below figures:. ly/3i4rbWlLink for dataset A Tableau Project. 4. As a part of EDA, I have used the replace feature that exist in Excel and 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. The I’ve built extensive spreadsheet sample data on a variety of real-world topics. Before we go ahead into our analysis proper, we would be loading the library, importing the Superstore Sales (Excel). The first thing you see after you open Tableau Desktop is the Start page (Link opens in a new window). For those who have not yet used Tableau for visualization, the above image shows a “Sheet 1” choice next to the Building a simple dashboard on tableau using the superstore dataset. Export data to excel, so we can move forward to the EDA and Visualization process by using Tableau. Updated Superstore Excel file to the version shipping Oct 31, 2024 · Use Sample - Superstore. Univariate exploratory data analysis Free. I did Exploratory data analysis on Sample Superstore Dataset using Python, Tableau, Excel, SQL and R 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 left plane will feature the company logo, interaction controls, and Overview: 1. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Right-click a In Tableau, you can apply a table calculation to sales data to create a chart that shows the percentage of total sales that come from the top products, and thus identify the key segments of your customer base that are most important for your business's success. Complex statistical and engineering analyses such 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 Developed a Tableau dashboard utilizing the Sample Superstore dataset. The Supermarket Dataset, a treasure trove from Kaggle Dataset Link. Blame. You signed out in another tab or window. d. The Technology category and Phones subcategory lead in sales, while Welcome to Data Analysis with Tableau, the seventh course in the Tableau Business Intelligence Analyst Professional Certificate series. This option makes sense if you want to work with a fixed data set – for example, to prepare an annual report. Features: a) Divide the dashboard into two planes. Sample-Superstore-Subset-Excel (16). After cleaning and preparing the data, I create a worksheet to visualize the data. Cleanest. The skills you will gain from executing these projects can be easily transferred to more high-responsibility tasks, such as removing duplicate data from a dataset, preprocessing data so it’s ready for analysis, as well as drawing connections between Both the cards and the bar chart now show data for Fashions Direct. Hi - I would like to plot, by days of week, the total number of orders received AND the total number of orders shipped, on one chart with the x-axis being days of the week (Mon, Tues, etc. And this is what data points look: By leveraging Tableau’s forecasting capabilities, businesses can make informed decisions, anticipate market changes, and plan for the future with greater confidence. Tableau-Superstore-Analysis-Doc. xlsx Data Blending File Two. Problem Statement : Global Superstore has been going through loss in the products sold. Superstore, a fictional retail entity in the U. This dataset is perfect for applying your data exploration, analysis, and visualization skills to a real world business scenario, so fire up your favorite BI tools (Excel, MySQL, Power BI, Tableau, etc. Azure Data Studio - used to host MSSQL; Microsoft Excel - Data cleaning, Data Analysis; Tableau - Create Dashboard Report Here is an example of Superstore data: table: In the first chapter, you'll be working with the superstore data. 2 - Join & Blend - Category & Sales Book 3. And as a special treat, I have also added the localised workbooks created by the Tableau teams ready for you to play with Superstore analysis. Dived deeply into the overall sales and profitability for the firm and determined crucial areas for enhancement with different plotting methods Book 3. Explore the nuanced differences between Tableau and Excel in data handling, visualization capabilities, and analytical depth. My main goal was to extract some quick insights regarding the company's sales from the dataset using Excel. Use Excel if you are working on simple projects with considerably less data. Tags Business. New Dashboard: This button is used to create a dashboard canvas. csv formats. Nov 11, 2023 · Our analysis in question will be carried with Excel, SQL and finally Tableau. We can use Alt + A + T shortcut to directly Filter data or select the Filter icon from the Data menu as shown below. Raw. please extract all the data sets and save the workbook How to Perform What-If Analysis in Tableau. The Global Superstore dataset consist of 20 columns and 51,281 In this project I will use Sample-superstore. xls data which contains 9994 rows and 21 columns. Develop your data analytics skillset with our free data sets using real-world data, Practice applying your data analysis and visualization skills to real-world data, from flight delays and movie ratings to shark attacks and UFO sightings. In this section, we will look at how you can perform What-If analysis in Tableau. Something went wrong and this page crashed! If the issue At the menu, connection to the dataset, data cleaning with Power Queries, Exploratory data analysis, then a bit of dashboard design. Our analysis in question will be carried with Excel, SQL and finally Tableau. The result file is attached. Exploratory data analysis, or EDA, is a fundamental step when doing data research. 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. The project provided valuable insights into restaurant industry trends related to location, opening trends, ratings, and price ranges. Created by Ryan Sleeper, this workbook aims to Sample - Superstore. Superstore Sales assessment Connect with your customers and boost your bottom line with actionable insights. I’ve analyzed the same dataset in Tableau. File Types Excel. Since the data is in a text(CSV) format I was able to easily import it into Excel, then I cleaned 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. There are 9994 rows of data in the Orders sheet. Sample Super Store Dataset by Tableau by Abhinav Prasad. Create a bullet chart with Category and Segment dimensions and Sales measures. 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. Upvote Upvoted Remove Upvote Reply. LETS GET STARTED!!! You can take a look at the entire visualization here. A superstore wants insights on their data. Dataset d Contribute to Afrinazath/Olist_Store_Analysis-Power-BI-Excel-Tableau-SQL development by creating an account on GitHub. Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Data Volumes: While Excel is suitable for small to medium-sized data sets, Tableau is designed to handle much larger volumes of data, making it ideal for organizations with extensive data needs. Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. world) Conclusion Using Tableau and the Superstore Dataset, this data visualization project provided a visually engaging analysis of sales and profit trends. This table was then used to create a dashboard in Excel and Tableau. Excel will serve as first repository for our data, SQL will give meaning to our data and Tableau will give a clear The dataset used for this analysis is the Sample Superstore dataset, which includes sales, profit, order, and customer data from 2014 to 2017 across different regions in the United States. ; If you only have measures, you can't break out the values by anything. 2. Here is an example of a particular data record: Order ID: 87463. It includes various visualizations to help stakeholders analyze and This is the second tableau project for practice that you can use to prepare for your interview, resume, and profiles. 00% Is there a Superstore Dataset for using Tableau Public. Tableau often updates these A complete data analytics project walkthrough using SQL, Excel, and Tableau. Workshops. g. Create a Text view with Region, Sub-Category and Sales. tds files. Each segment has a dedicated dashboard page that addresses the business intelligence questions raised. - sersun/supermarket-sales-analysis this video is for performing data visualization on sample superstore dataset using tableau. In the map below the pie chart, you can see new store and same store figures for different postal codes for just Fashions Direct. especially with large This data set is a spreadsheet in Excel with three tables: orders, returns, and people. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, and time periods. To accomplish this project, Tableau‘s Superstore sample dataset is utilized. The dashboard presents detailed insights into business performance metrics, allowing for informed strategic decision-making. there are a total Microsoft SQL Server (SQL) - used as the primary tool for data analysis. Overall sales. A dataset can be a single data source or a combination of This tutorial video is hands on tableau demo on how to create interactive dashboard on sample superstore dataset. Go to /Documents/My Tableau Repository/Datasources/version number/[language]. xlsx Olympic Athletes. (spatial file for Boroughs and Excel file of emissions And if there are geographic fields in the data set, Tableau also creates Latitude (generated) and Longitude (generated) even a small data set can pack a punch for analysis. Weekday Vs Weekend (order_purchase_timestamp) Payment Statistics Number of Orders with review score 5 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. File metadata and controls. xls and . Mumtaz Ahmad (Member) 3 years ago. 3 e. Datasets: Power BI uses datasets for creating visuals. Bookshop consists of 13 tables, combined in the following manner: Note: A central concept for this data set is the idea of a book versus an edition. ) and dive in! To go along with this release, we’re launching the Maven Toys Challenge and giving away a free all-access membership to the winner. Product_ID as Product_ID, Ca. Using DAX and calculated columns, these analyses provided insights into various aspects of the superstore's operations. Place the Dataset: Ensure that Superstore sales dataset. Accompanying step-by-step video tutorial solving these questions is in my YouTube channel This Tableau Superstore Sales Dashboard provides a detailed analysis of sales dynamics. 3)Using Global Superstore, identify the Regions where Top 20 Customers that have overall Profit Ratio (Profit as % of Sales) which is double the Profit Ratio of other Customers in the Region. This uses the Superstore data set. Use an easy data set (like Superstore) to build what you want (a Key Differences between Tableau and Excel. Find the ideal data analysis This project focuses on creating interactive data visualizations for the Global Superstore Dataset to provide actionable insights for business decision-making. Olayinka Eunice. Conversion of Dimensions I've attached an updated version of the Super Store dataset. 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. Shamima Sultana Jun 5, 2024 at 9:16 AM. The dataset contains three tables: Orders: Detailed transaction data including Sales, Profit, Quantity, and Customer details. A top 10 ranking Excel and Tableau are two such data tools that help with big data analysis and visualization. Tableau stores and queries data differently than Excel, which allows Tableau to exceed the roughly 1 million row limit on 11. bocfn hsuiwv ubayslz qqjt qysla wdrx kqqew uyvv xql ycq