Sample superstore dataset download 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. The sample was taken from the legendary dataset “Sample Superstore”, of a fictional Ecommerce company. 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. 7; Pandas 1. com/giaunguyenvan/45a5c95a0f67f0c170dddda6117dfe90. , 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. Tracks Daily, Monthly and Yearly Customers, Products Sold, Total Profit and Average-Revenue-Per-Customer (ARPC). Sales, profits, shipping modes were analyzed on country, state and regional bases. 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. 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. You signed out in another tab or window. Jul 24, 2023 · This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. Applied different Visualization techniques on the dataset and used various libraries such as Plotly, etc. 2. Contribute to JessLShepp/sample_superstore development by creating an account on GitHub. EU Superstore data was analyzed and visualized. This project contains sql statements that includes the process of Data Warehousing and Data Mining - yannie28/Global-Superstore Analysis of Sample SuperStore Dataset. This Notebook is running on top of the following stacks : Python 3. You signed in with another tab or window. csv at master · Wunmi-O/Superstore 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. Utilizing Power BI, this project delves into various aspects such as overall performance, category/sub-category analysis, sales trends, profitability, return analysis, regional 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 A Tableau Project. It provides insights into sales performance across different regions, product categories, and customer segments. This Notebook is running on top of the following stacks The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. - Superstore/SampleSuperstore. Reload to refresh your session. Analysis: Utilize the dashboards for deep and flexible analysis of the data. An interactive dashboard was developed to compare product sales & profits for segments in different European Countries. Contribute to Mohana001/Sample_Superstore_dataset development by creating an account on GitHub. Load into Power BI: Import the dataset into Power BI. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, and time periods. Uses SQL to analyze a sample Superstore database. The dashboard is interactive and allows users to filter data by year and region, while dynamically You signed in with another tab or window. 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. Sign in Download the Dataset: Ensure you have the Sample Superstore dataset. Sep 25, 2021 · Clone this repository at <script src="https://gist. js"></script> Save giaunguyenvan/45a5c95a0f67f0c170dddda6117dfe90 to your computer and use it in GitHub Desktop. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. . github. - EU-Superstore/Sample - EU Superstore. To get started with this project, you'll need to have access to Google Colab. 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. 0. This project is an analysis of the Sample SuperStore dataset. This Tableau dashboard was created using the Sample Superstore dataset. 4; Matplotlib 3. Leveraging the power of Microsoft Power BI, we have created a dynamic dashboard that Sample superstore dataset Exploration. Getting Started. With the availability of numerous data sources, organizations can utilize data to make informed decisions, forecast future events, and achieve their strategic objectives. Continuous visibility into The SuperStore Database Management Project (DBMD) is a comprehensive solution designed to streamline and optimize the operations of an e-commerce business. This project is about making the dashboards using the sample superstore dataset in the tableau. 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. Created different visualizations using calculated fields, parameters & charts as the dashboard. Dashboard Creation: Use the dataset to create visuals as described in the project details. You switched accounts on another tab or window. The sample was taken from the legendary dataset "Sample Superstore", of a fictional Ecommerce company. This dashboard helps the Superstore management understand their sales and profit distribution better. - 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 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. This analysis aims to provide insights into the data and help identify areas where the company can increase its profits while minimizing losses. 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. 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. 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. Contribute to shekhs/SampleSuperstore-EDA development by creating an account on GitHub. Toggle navigation. This notebook is intended for those whose relatively new to EDA (Exploratory Data Analysis) aspect from a Machine Learning process. 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.
close
Embed this image
Copy and paste this code to display the image on your site