Sample superstore dataset download github The data has 51290 rows, and 24 columns. Sample-Superstore-dataset I mainly chose this data set to analyze how a store work under different situations and how they tackle profit or loss, while they are in profit how they got profit and how to increase it further, and if they are in loss how they tend to increase the sales and background works like how they analyze to make profit and You signed in with another tab or window. It includes order specifics, product sequences, order timing, and aisle/department info. Note that you can use either Tableau Public or Desktop to find the answer. This Notebook is running on top of the following stacks The Super Store dataset contains data on order details of customers for orders of a superstore ie; chain of multiregional stores under a brand globally. Our goal was to gain valuable insights and make data-driven recommendations to improve business operations. Dashboard: Sep 25, 2021 · Clone this repository at <script src="https://gist. The dataset, from Instacart, comprises 3M+ grocery orders by 200K+ users. The goal of this project is to conduct a comprehensive analysis of the Sample Superstore dataset to gain valuable insights into Sales trends and Profitability of the store and identify areas for improvement. You signed in with another tab or window. - Superstore/SampleSuperstore. Order ID: Identifier for the order. Sources/Citations: Superstore data made available and accessed on Tableau Public The Superstore dataset used in this dashboard is publicly available and can be downloaded from the Tableau website. 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. Download Original Data: Download the original SuperStore dataset. Contribute to shekhs/SampleSuperstore-EDA development by creating an account on GitHub. The dataset used for this project is Sample-superstore-sales, sourced from Tableau Community. Sample - Superstore. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - sample-superstore/01- Data Exploration - SampleSuperStore. In this project, I analyze sales performance, customer behavior, and product trends to provide actionable insights for optimizing business operations and enhancing customer satisfaction in EU Superstore. The Sample Superstore dataset is a fictional sales dataset that contains information about products, customers, and sales for a retail company. This project contains sql statements that includes the process of Data Warehousing and Data Mining - yannie28/Global-Superstore This dashboard helps the Superstore management understand their sales and profit distribution better. ipynb at master · leonism/sample-superstore The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. worksheet details- Monthly Sales and Profit: Explore trends This project presents an in-depth analysis of the Sample Superstore dataset using Microsoft Excel. Find and fix vulnerabilities Codespaces. SQL queries are utilized to extract relevant information and derive insights from the dataset. Sign in Download the Dataset: Ensure you have the Sample Superstore dataset. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Contribute to mahsal123/Sample_superstore-dataset-analysis development by creating an account on GitHub. Power BI Desktop sample files for the monthly release. Contribute to Houra-batool/Superstore-Dataset development by creating an account on GitHub. Customer ID: Identifier for the customer. - GitHub - Wunmi-O/Superstore: A kaggle's sample superstore dataset, a kind of a simulation where you perform extensive data analysis to deliver insights on how the company Here I have used Sample Superstore 2022 dataset to analyze and create dashboard in Excel and have used power pivot for simple KPI indicator - pmsupriya/Superstore-Dashboard Excel file from a sample dataset. 7; Pandas 1. Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’ This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Explore sales and profit distribution by state, track monthly sales by segment, and assess total sales by location and manager. twbx) file. We make use of some basic charts like Pie chart, Bar chart, Heat table, Highlight table, Map, and several advanced charts such as Dual axis chart, Blended axis chart, Lollipop chart, Donut chart and Funnel chart. Scatter Plot: Explore the relationship between Sales, Profit, and Quantity. 1 This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. txt and test. csv at main · SohamB21/Analysis-Of-SuperStore-Dataset I completed the IBM SkillsBuild Data Analytics Internship Program to develop my Data Analytics skills and apply them to a real-world problem by working on this project. This is a detailed analysis on customer behavior analysis. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - sample-superstore/02- Data Cleaning - SampleSuperStore. The Super Store dataset contains data on order details of customers for orders of a superstore ie; chain of multiregional stores under a brand globally. As a business manager, try to find out the weak areas where you can work to make more profit. Identify and list the Primary Keys and Foreign Keys for this dataset provided to you(In case you don’t find either primary or foreign key, then specially mention this in your answer) Task 2:- Basic & Advanced Analysis Mar 24, 2020 · Sample Superstore & Covid-19 in One Dataset. This Tableau Superstore Sales Dashboard provides a detailed analysis of sales dynamics. Power-Bi-Dashboard-for-Global-Superstore : Developed a Business Intelligence (BI) Dashboard using Power BI. Sales, profits, shipping modes were analyzed on country, state and regional bases. \\n\","," \" \\n\","," \" \\n\","," \" \\n\","," \" Row ID \\n\","," \" Order Date \\n\","," \" Ship Date This dataset shows the shipped goods to USA superstore, collects information from 9994 item, Each row represents a item, each column contains item’s attributes. xls at master · ARAPIL/EU-Superstore Superstore-Sales-Dashboard---Powerbi Power BI dashboards can be a helpfull tool to provide insights into sales performance and trends of an organization. the original repo has BSON dump. Contribute to workoneke/SuperStoreDA-Report-PowerBI development by creating an account on GitHub. xls data. The Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. Feb 12, 2024 · Following are the links for the notebook and the dashboard: Github: https://github. Sample Superstore Data Analysis using Power Bi. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. 2. Leveraging the power of Microsoft Power BI, we have created a dynamic dashboard that Sample superstore dataset Exploration. - AmrMohamed31 I used many visuals like Column Chart, Donut Chart, Drillthrough Donut Chart, Line Chart, Text Card, Number Card, Scrollers, Matrix, Simple Map, etc. Customer Name: Name of the customer. In the dashboard, user has the control to select from four different KPI's (Sales, Profit, Quantity, Discount) and see the results for different segments, category and sub-categories. EDA performed on Sample SuperStore dataset as part of THE SPARKS FOUNDATION internship - GitHub - abhinayaanbarasan/Sample-SuperStore: EDA performed on Sample Welcome to this repository for the build of a financial analysis dashboard relating to the well-known Sample SuperStore dataset! The full project lifecycle and outcome insights are detailed further in the project overview document The Superstore Sales Data Analytics Project harnesses the capabilities of Python's pandas, matplotlib, and seaborn libraries to analyze and extract meaningful insights from a substantial dataset containing sales information from a retail superstore. The project includes interactive dashboards that provide insights into various aspects of the sales and profit performance. Data analysis project using the Sample Superstore Dataset, with insights on sales, profit, and customer segmentation - devil3648/Data-Analysis-Superstore-Dataset You signed in with another tab or window. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. The dataset used for this project is EU_Superstore_dataset. FOREIGN KEY (customer_id) REFERENCES sales. - Mohab29/Sample-Superstore Contribute to AmgadEsawy/Sample-Super-Store-Dataset development by creating an account on GitHub. Dec 21, 2023 · Welcome to the Power BI project for the global store dataset! This project provides a detailed report on sales transactions across branches worldwide. Ship Mode: Shipping mode chosen for the order. csv at master · Wunmi-O/Superstore Analysis of Sample SuperStore 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. Sample Superstore Dataset: A publicly available dataset used to simulate the profit and sales data of a fictitious retail store. About This Dataset: The Sample Superstore Sales dataset provides sales data for a fictional retail company, including information on products, orders and customers You signed in with another tab or window. git. --> Connect the dataset to Tableau. The dataset Superstore Sales Dataset 2015 – 2018. This analysis aims to provide insights into the data and help identify areas where the company can increase its profits while minimizing losses. This Power BI Dashboard represents sales of different products by : Superstore, a fictional retail entity in the U. The dataset contains data on sales, profits, and other metrics for a fictional company that sells office supplie. This project explores data visualization and analysis techniques using Tableau. - WuCandice/Superstore-Sales-Analysis Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forcasting, and interactive dashboard creation, driving business success. txt , val. This Power BI project provides a comprehensive analysis of the Sample Superstore dataset through two interactive dashboards: the Descriptive Dashboard and the Prescriptive Dashboard. Microsoft Excel has been employed for this project. The dataset is often used by data analysts and data scientists to demonstrate data analysis, visualization, and machine learning techniques. The dataset contains several attributes, including sales, profit, order date, ship date, and more. Tracks Daily, Monthly and Yearly Customers, Products Sold, Total Profit and Average-Revenue-Per-Customer (ARPC). 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. Tableau-Superstore-Analysis-Doc. A kaggle's sample superstore dataset, a kind of a simulation where you perform extensive data analysis to deliver insights on how the company can optimize its profit levels. Load into Power BI: Import the dataset into Power BI. You can use this data to quickly get started experimenting with data in MongoDB and using tools Sample Superstore dataset and build a Dashboard that will show the Sales Performance1 - Prakashpsk/Superstore-Sales-Performance1 - Analysis-Of-SuperStore-Dataset/Sample - Superstore. The description of data is as follows: "Global Superstore is a customer-centric dataset, which has the data of all the this is a fork of repo. Clone their github repository, download a copy of Sample-Superstore. - GitHub - deveshkv/Tableau-dashboard-visualizations: Hey Everyone , Its is Visualization of Superstore dataset, It is my first Tableau project based on a Dataset - Sample Superstore. The description of data is as follows: "Global Superstore is a customer-centric dataset, which has the data of all the Practice Your Data Analysis Skills as a Superstore Data Analyst Sample Superstore Dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Created different visualizations using calculated fields, parameters & charts as the dashboard. Throughout the data cleaning phase, a concerted effort was made to ensure accuracy and consistency, including the checking & removal of duplicate entries, missing values, and standardization of data formats. To get started with this project, you'll need to have access to Google Colab. Download here Tools Analysis of sample superstore data in Power Bi. This repository links to multiple sales, profit, and business forecast dashboards that use the Superstore data set from Tableau. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. txt in the folder dataset includes the paths to the images in the training, validation and test set respectively. Sample-Superstore-Dataset Exploratory Data Analysis - Retail Perform "Exploratory Data Analysis" on dataset SampleSuperstore. A Tableau report on sample superstore dataset. The Global Superstore dataset is a sample dataset that contains sales and order data for a fictional global retail company that sells office supplies, furniture, and technology products. Order Date: Date of the order placement. Contribute to parth2104/Exploratory-Data-analysis--Retail-SuperStore-dataset development by creating an account on GitHub. Jul 24, 2023 · This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. This is a sample superstore dataset, a kind of simulation where you perform extensive data analysis to deliver insights on how the company can increase its profits while minimizing the losses. - Ajcr007/Tableau-Superstore-visualization 4 days ago · Contribute to sridhar780/Samplesuperstore_Dataset development by creating an account on GitHub. What all business problems you can You signed in with another tab or window. com/Anuksha-Dutta/GRIP_INTERNSHIP_Task3. You signed out in another tab or window. This Notebook is running on top of the following stacks : Python 3. It includes various visualizations to help stakeholders analyze and understand key aspects of the business. csv" containing sales made between 2014 and 2017 by the store. S. The dataset contains details about the orders placed by various users, the week and hour of the day the order was placed, and a relative measure of time between orders. Uses SQL to analyze a sample Superstore database. . The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. Power BI is used as the visualization tool to create interactive and visually appealing reports. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, and time periods. The sample was taken from the legendary dataset “Sample Superstore”, of a fictional Ecommerce company. Here you can find the PBIX files used in the monthly release videos. Once you've signed in or filled out the form to watch a video, click "Watch Now" and the download links will appear under the video. The analysis is presented through a series of visualizations and answers to key questions, providing actionable insights for business decision-making. Contribute to Adityapandeya/Sample-Superstore-dataset development by creating an account on GitHub. This repository contains a detailed analysis of the Sample Superstore dataset, focusing on various questions related to sales performance, order priorities, discounts, shipping modes, and returns. Summary Tables: Display a summary table of Category-wise and Region-wise sales. An interactive dashboard was developed to compare product sales & profits for segments in different European Countries. Multiple visualization styles are demonstrated over various color schemes: sunburst chart, area chart, donut charts, mapping, etc. This project aims to deliver valuable conclusions You signed in with another tab or window. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Contribute to sridhar780/Samplesuperstore_Dataset development by creating an account on GitHub. 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. Dashboard Creation: Use the dataset to create visuals as described in the project details. This project focuses on creating a robust database management system that facilitates efficient handling of various aspects of an online store, from product inventory to customer orders. com/giaunguyenvan/45a5c95a0f67f0c170dddda6117dfe90. Contribute to Abhishekjl/PowerBi-Sales-Analysis development by creating an account on GitHub. Data Exploration: Conducted exploratory data analysis (EDA) using Tableau to uncover patterns, trends, and correlations in the data, leveraging interactive visualizations and dashboards. Ship Date: Date of order shipment. About This project visualizes sales and profit data from the Sample Superstore dataset, offering interactive dashboards to analyze performance across categories, regions, and segments for data-driven decisions. Contribute to JessLShepp/sample_superstore development by creating an account on GitHub. github. Sample - Superstore: the primary dataset used for this analysis is the "sample-superstore. title: Product title; brand: Product brand; description: A brief description of the product; currency: Currency of the product; availability: Product availability Global Super Store mainly stores data about the orders which have been made by customers. By analysing this dataset, the project seeks to Contribute to mahsal123/Sample_superstore-dataset-analysis development by creating an account on GitHub. Describe the data in hand in your own words. This repository showcases the Superstore Sales Analysis project, which aims to analyze and visualize the sales data of a fictional superstore. How to use the dataset The files train. --> Use the filters to select the Primary and Secondary regions and interact with the dashboard to compare sales performance. This is a practice project which I did to polish up my Excel skills. It provides insights into sales performance across different regions, product categories, and customer segments. Exploratory Data Analysis (EDA) is a crucial first step in the data analysis process. View and download Monthly sales data. Explore insightful dashboards, charts, and graphs that provide deep insights into sales trends, product performance, regional analysis, and more. Applied different Visualization techniques on the dataset and used various libraries such as Plotly, etc. Utilizing Power BI, this project delves into various aspects such as overall performance, category/sub-category analysis, sales trends, profitability, return analysis, regional A Tableau Project. , specializes in furniture, office supplies, and technology products. - EU-Superstore/Sample - EU Superstore. png - PowerBI Dashboard snapshot/screen capture The dashboard is published at the following link on Microsoft PowerBI Workspace: --> Download the Sample Superstore dataset if not already available. Display a summary table of Month-wise Sub-Category Sales. 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. stores (store_id) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (staff_id) REFERENCES sales. 4; Matplotlib 3. The dataset contains information about sales transactions, customer details, product categories, and regional sales performance. Explore trends, patterns, and key metrics to inform strate Task 1:- Understanding the Data. Description: This GitHub repository contains a comprehensive analysis of sample superstore sales data using Tableau. This project is about making the dashboards using the sample superstore dataset in the tableau. The dataset contains three tables: Orders: Detailed transaction data including Sales, Profit, Quantity, and Customer details. This repository contains sample code and sample data for You signed in with another tab or window. Toggle navigation. The dataset comprises 31,047 rows of sales data for Vrinda Store for the year 2022. - microsoft/powerbi-desktop-samples Dec 20, 2023 · Create dashboard on Sample_Superstore dataset using various visualizations. Welcome to my Tableau visualization project, where I present insights derived from the Sample - EU Superstore dataset. This project focuses on analyzing the SuperStore dataset, which contains Sales and Profit data from a retail store in the United States. There's information about the order itself such as the customer who made the order, the product requested by the customer and its quantity, the cost which the customer have to pay, and information about To Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’ using Power BI - GitHub - ShaeenHanifKhan/SampleSuperstore_EDA: To Perform ‘Exploratory In this Tableau Project, we analyse Sample Superstore dataset. A Interective tableau dashboard is created using Parameters, Calculation Fields, filters and LOD functions. customers (customer_id) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (store_id) REFERENCES sales. xlsx onto my desktop. twb or . xls. 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. I downloaded the Global Superstore Orders 2016. Continuous visibility into This Tableau dashboard was created using the Sample Superstore dataset. staffs (staff_id) ON DELETE NO ACTION ON UPDATE NO ACTION I did Exploratory data analysis on Sample Superstore Dataset using Python, Tableau, Excel, SQL and R All the tools will give us same output but we have to know when to use which tool. A comprehensive Power BI dashboard utilizing the Global Superstore dataset, providing robust and dynamic data visualizations. - GitHub - harshadajoshi205/Power-BI-Project: Create dashboard on Sample_Superstore This is a practice project which I did to polish up my Excel skills. Instant dev environments A Interactive tableau dashboard is created using Parameters, Calculation Fields, filters and LOD functions. xls: This Excel file contains the Superstore sales dataset that serves as the foundation for our analysis. The dashboard is interactive and allows users to filter data by year and region, while dynamically The SuperStore Database Management Project (DBMD) is a comprehensive solution designed to streamline and optimize the operations of an e-commerce business. Welcome to our Sample Superstore dataset project, a comprehensive simulation that delves into extensive data analysis to provide valuable insights for enhancing company profitability while minimizing losses. Sample super store Data Preparation: Preprocessed and cleaned the Sample - EU Superstore dataset to handle missing values, outliers, and data inconsistencies. , also visualized the data points through PowerBI to study the Profit and Sales Analysis closely & understood the Sample SuperStore This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. xls from Tableau and put it in the same local repo folder as the covid data. Contribute to rohan2315/EDA-Superstore-Dataset development by creating an account on GitHub. The dashboard presents detailed insights into business performance metrics, allowing for informed strategic decision-making. This project is an analysis of the Sample SuperStore dataset. Sep 29, 2023 · In this data analysis project, I will conduct an Exploratory Data Analysis (EDA) on a superstore sales dataset. Contribute to Mohana001/Sample_Superstore_dataset development by creating an account on GitHub. The dashboard should include key metrics such as total sales, sales by product, sales by location, sales by customer segment, and sales by product category. pbix - PowerBI Dashboard file Global-Superstore---PowerBI-Sales-Snapshot. If you are using Tableau Desktop, the Sample Superstore dataset should be present in the Saved Data sources and will also be present in your My Tableau Repository folder on your local machine. 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. In this case, we will perform EDA on the "SampleSuperstore" dataset to better Hi @jessica pedder (Member) , if you look at the free training videos on the Tableau website, they generally share the data set that is relevant to the video underneath. This dataset contains. pdf: This document offers a detailed explanation of the project, including charts and visualizations that highlight key insights derived from the Superstore dataset. This Dataset Showing Profits and sales of some products through US - GitHub - ShaimaRamy/Sample-Superstore: This Dataset Showing Profits and sales of some products through US Analyze sales data from a supermarket dataset to uncover insights into customer behavior, product performance, and operational efficiency. Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. ipynb at master · leonism/sample-superstore Global-Superstore---PowerBI-Sales-Dashboard. Getting Started. You switched accounts on another tab or window. I've removed it and I added a bash script to import the JSON to respective db Atlas provides sample data you can load into your Atlas clusters. It simulates sales data from a fictional superstore and typically includes various attributes such as product category, sales, profit, quantity sold, customer segment, region, and order date Use Sample - Superstore. By analyzing the data, management can identify areas of improvement and make data In today's data-driven society, having an intelligent strategy is essential for businesses to thrive. EU Superstore data was analyzed and visualized. It involves the exploration, visualization, and understanding of the dataset to gain insights, identify patterns, and detect anomalies. With the availability of numerous data sources, organizations can utilize data to make informed decisions, forecast future events, and achieve their strategic objectives. This repository houses a collection of Tableau visualizations created using the Superstore dataset. Dec 30, 2023 · Hey Everyone , Its is Visualization of Superstore dataset, It is my first Tableau project based on a Dataset - Sample Superstore. Reload to refresh your session. 0. js"></script> Save giaunguyenvan/45a5c95a0f67f0c170dddda6117dfe90 to your computer and use it in GitHub Desktop. The goal of this project is to uncover insights and trends within the data through interactive visualizations. --> Open the Tableau workbook (. - Mr-Lokesh/Tableau-Sample-Superstore-Dashboard About: The superstore data analysis project aims to gain meaningful insights from a large dataset related to a retail superstore's sales and profit. Analysis: Utilize the dashboards for deep and flexible analysis of the data. Contribute to tushark01/Sample-Superstore development by creating an account on GitHub. nadjutu sxjgq hvq lhz iolmdg xmymy xitdv acml batbkqj rzsc