Sample superstore dataset download github The dataset includes order details, anonymized customer information, product specifics, and financial metrics. You switched accounts on another tab or window. 0. customers (customer_id) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (store_id) REFERENCES sales. Getting Started. xls. Jul 24, 2023 · This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. Contribute to JessLShepp/sample_superstore development by creating an account on GitHub. Explore sales and profit distribution by state, track monthly sales by segment, and assess total sales by location and manager. Tracks Daily, Monthly and Yearly Customers, Products Sold, Total Profit and Average-Revenue-Per-Customer (ARPC). xls: This Excel file contains the Superstore sales dataset that serves as the foundation for our analysis. EU Superstore data was analyzed and visualized. 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. 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. Created different visualizations using calculated fields, parameters & charts as the dashboard. This is a detailed analysis on customer behavior analysis. Perform ‘Exploratory Data Analysis’ on dataset ‘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. 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. The dataset used for this project is Sample-superstore-sales, sourced from Tableau Community. 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. Toggle navigation. xls data. Contribute to larryt2003/Superstore-Sales-Dataset-2015-2018 development by creating an account on GitHub. Uses SQL to analyze a sample Superstore database. , specializes in furniture, office supplies, and technology products. This Notebook is running on top of the following stacks 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. 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. txt , val. To get started with this project, you'll need to have access to Google Colab. Power BI is used as the visualization tool to create interactive and visually appealing reports. 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. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. Utilizing Power BI, this project delves into various aspects such as overall performance, category/sub-category analysis, sales trends, profitability, return analysis, regional 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. Analysis: Utilize the dashboards for deep and flexible analysis of the data. The dataset 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. It includes various visualizations to help stakeholders analyze and understand key aspects of the business. Use Sample - Superstore. You signed in with another tab or window. With the availability of numerous data sources, organizations can utilize data to make informed decisions, forecast future events, and achieve their strategic objectives. It provides insights into sales performance across different regions, product categories, and customer segments. Continuous visibility into 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. Contribute to shekhs/SampleSuperstore-EDA development by creating an account on GitHub. What all business problems you can You signed in with another tab or window. Applied different Visualization techniques on the dataset and used various libraries such as Plotly, etc. Sep 25, 2021 · Clone this repository at <script src="https://gist. stores (store_id) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (staff_id) REFERENCES sales. The dataset was presented in the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels", which appeared at WACV 2019. 7; Pandas 1. github. - 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 Excel file from a sample dataset. 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. - Superstore/SampleSuperstore. 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. This Notebook is running on top of the following stacks : Python 3. Superstore, a fictional retail entity in the U. How to use the dataset The files train. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, and time periods. csv at master · Wunmi-O/Superstore Analysis of Sample SuperStore Dataset. 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. - WuCandice/Superstore-Sales-Analysis SQL queries are utilized to extract relevant information and derive insights from the dataset. This project is an analysis of the Sample SuperStore dataset. Sales, profits, shipping modes were analyzed on country, state and regional bases. FOREIGN KEY (customer_id) REFERENCES sales. . - EU-Superstore/Sample - EU Superstore. - Ajcr007/Tableau-Superstore-visualization 2 days ago · Contribute to sridhar780/Samplesuperstore_Dataset development by creating an account on GitHub. Reload to refresh your session. Explore insightful dashboards, charts, and graphs that provide deep insights into sales trends, product performance, regional analysis, and more. Dashboard Creation: Use the dataset to create visuals as described in the project details. Tableau-Superstore-Analysis-Doc. pdf: This document offers a detailed explanation of the project, including charts and visualizations that highlight key insights derived from the Superstore dataset. In today's data-driven society, having an intelligent strategy is essential for businesses to thrive. Incorporated data analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forcasting, and interactive dashboard creation, driving business success. 2. - Mohab29/Sample-Superstore \\n\","," \" \\n\","," \" \\n\","," \" \\n\","," \" Row ID \\n\","," \" Order Date \\n\","," \" Ship Date Contribute to AmgadEsawy/Sample-Super-Store-Dataset development by creating an account on GitHub. com/giaunguyenvan/45a5c95a0f67f0c170dddda6117dfe90. Sample - Superstore. txt in the folder dataset includes the paths to the images in the training, validation and test set respectively. 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. The dataset is often used by data analysts and data scientists to demonstrate data analysis, visualization, and machine learning techniques. A Tableau Project. This repository showcases the Superstore Sales Analysis project, which aims to analyze and visualize the sales data of a fictional superstore. This Tableau Superstore Sales Dashboard provides a detailed analysis of sales dynamics. This project explores data visualization and analysis techniques using Tableau. , 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. 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 This repository houses a collection of Tableau visualizations created using the Superstore dataset. An interactive dashboard was developed to compare product sales & profits for segments in different European Countries. 4; Matplotlib 3. This analysis aims to provide insights into the data and help identify areas where the company can increase its profits while minimizing losses. The Superstore Sales Dataset is a popular dataset used for learning and practicing data analysis, visualization, and machine learning techniques. 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 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. 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. Leveraging the power of Microsoft Power BI, we have created a dynamic dashboard that Sample superstore dataset Exploration. Superstore Sales Dataset 2015 – 2018. Save SharmaAshwini/8bd642f6c46792a9c40c8ccad60391e9 to your computer and use it in GitHub Desktop. 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. Note that you can use either Tableau Public or Desktop to find the answer. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. This repository contains sample code and sample data for You signed in with another tab or window. Sample super store Power-Bi-Dashboard-for-Global-Superstore : Developed a Business Intelligence (BI) Dashboard using Power BI. 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. This Power BI Dashboard represents sales of different products by : 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. txt and test. 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. This project is about making the dashboards using the sample superstore dataset in the tableau. The sample was taken from the legendary dataset “Sample Superstore”, of a fictional Ecommerce company. 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. 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 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. 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. S. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. Contribute to Mohana001/Sample_Superstore_dataset development by creating an account on GitHub. Sign in Download the Dataset: Ensure you have the Sample Superstore dataset. By analyzing the data, management can identify areas of improvement and make data This Tableau dashboard was created using the Sample Superstore dataset. 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. js"></script> Save giaunguyenvan/45a5c95a0f67f0c170dddda6117dfe90 to your computer and use it in GitHub Desktop. You signed out in another tab or window. staffs (staff_id) ON DELETE NO ACTION ON UPDATE NO ACTION Sample Superstore Dataset: A publicly available dataset used to simulate the profit and sales data of a fictitious retail store. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. 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. In this project, I am working with a dataset of Superstore, aiming to answer 30 scenario-based questions through data visualization and analysis using Tableau. The goal of this project is to uncover insights and trends within the data through interactive visualizations. yce fjbg cvwjuwe dqswxcu gilkytr mbjagg ayfase xndhbw ufa fcwwg