Superstore dataset power bi github. (For detailed information you can use the region slicer).
Superstore dataset power bi github The repository hosts all the necessary files and resources to reproduce the analysis and visualize the findings through an interactive The primary goal is to gain insights into the sales performance of the Superstore and create an interactive Power BI dashboard for business stakeholders. This repository showcases the Superstore Sales Analysis project, which aims to analyze and visualize the sales data of a superstore. , also visualized the data points through PowerBI to study the Profit and Sales Analysis closely & understood the Key Learnings from the Power BI Project on Superstore Sales Dashboard:- 1. Utilizing Power BI, this project delves into various aspects such as overall performance, category/sub-category analysis, sales trends, profitability, return analysis, regional Superstore Sales Dashboard This Power BI dashboard provides an in-depth analysis of a retail superstore's sales performance, including category insights, regional performance, and customer segmentation. Step 3: Select "Column Profiling based on entire dataset" to profile all data rows. Nov 7, 1993 · Contribute to e19931107/Power-BI_RFM-analysis-for-superstore-dataset development by creating an account on GitHub. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. From filters and slicers to various visualizations, calculated columns, and measures, this dashboard offers valuable insights into the sales performance of the Superstore. It should also provide Data Source: I have utilized the publicly available Sample Superstore dataset, which provides a rich set of sales-related data. Power BI: As the primary data visualization and exploration tool, Power BI facilitated the creation of interactive dashboards and reports to analyze the data from various angles. Challenges encompass data cleansing, transformation, exploratory analysis, and crafting informative visualizations. Applied different Visualization techniques on the dataset and used various libraries such as Plotly, etc. The dataset is often used by data analysts and data scientists to demonstrate data analysis, visualization, and machine learning techniques. Global-Superstore---PowerBI-Sales-Dashboard. By following a structured approach to data loading, transformation, and visualisation, you can generate meaningful insights that drive informed decision-making. - SonamNath/SuperstorePowerBi This project involves the analysis and visualization of sales data from the Superstore dataset, which was imported from Kaggle. The Power BI Superstore Sales Analysis Project is a comprehensive, hypothetical data analytics solution designed to simulate real-world business challenges in assessing and predicting key trends based on two years of superstore sales data. Step 2: Open Power Query Editor and in the View tab under Data Preview section, check "Column Distribution", "Column Quality", and "Column Profile" options. This project analyzes the sales data from a fictional retail store, "SuperStore. Users can Aug 31, 2023 · This Power BI dashboard provides a comprehensive visualization of sales data from the Superstore dataset, showcasing the power of Power BI's major components. The data, sourced from the Superstore retail transaction dataset on Kaggle, covers the period from 2014 to 2018. Each visualization is thoughtfully chosen to represent data in the most informative and visually engaging manner. Our main KPI's for this Dataset were that of Total Sales, Profit and Quantity. Power BI dashboards can be a helpfull tool to provide insights into sales performance and trends of an organization. Contribute to becca-code/Superstore development by creating an account on GitHub. The dashboard features insightful visualizations and analytics focused on sal This repository contains a comprehensive data analysis and visualization project using Power BI, focusing on the Global Superstore dataset. This project provide report of sales transactions, shipping trends, and market analysis . This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. Refer to Global superstore data. 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. Power Bi project showcasing for global superstore dataset. The Descriptive Dashboard allows users to explore historical data trends with dynamic visuals that update based on the selected analysis type. The dataset used for these tasks includes Superstore Dataset and Finance 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. Welcome to the Super Store Sales Analysis repository! This project aims to provide comprehensive insights into sales data from a fictional superstore using Power BI. This guide uses a superstore dataset, containing sales records, profits, shipping details, and customer information, to demonstrate how to build a powerful dashboard. png - PowerBI Dashboard snapshot/screen capture The dashboard is published at the following link on Microsoft PowerBI Workspace: Feb 3, 2024 · Superstore Dataset Using Power Bi. Leveraging the power of Microsoft Power BI, we have created a dynamic dashboard that Power BI Projects - Superstore & Finance Dataset This repository contains Power BI project solutions to several tasks related to data visualization, DAX calculations, and data modeling. This repository contains the Superstore Analytics Dashboard, a Power BI project developed using the Superstore dataset. Features It offers multiple interesting dimensions to explore like order priority, product category, ship mode, location details, product segment and time series information. Step 1: Load data into Power BI Desktop, dataset is a CSV file. The visualizations and analysis derived from the report will enable data-driven decision-making and aid in identifying areas for improvement and growth opportunities. By leveraging Power BI's data transformation and visualization capabilities, these dashboards provide insights into key metrics such as top products, sales by customer segments, geographic trends, and profit analysis. The dataset consists of sales data from a US based retail company, including information about customers, products, orders, and regions Tool used🛠️: Power BI; Data set used: Superstore Dataset; This Power BI project employs a diverse range of visualizations, including bar charts, slicers, line charts, pie charts, tables, and cards. This project delves into the analysis of sales data from a fictional superstore, aiming to extract actionable insights crucial for informed decision-making. 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. The dataset is in a CSV format with 51,290 observations and 24 features. (For detailed information you can use the region slicer). It includes various visualizations to help stakeholders analyze and understand key aspects of the business. 2. The data can be accessed via this link. Data Import: Importing CSV files into Power BI and connecting them to create a dataset for analysis. Create a map visual and use the drill down to show detailed information for each country by state. " The goal is to uncover key insights into sales, profit, and customer trends through data processing and visualization. The analysis was conducted using Microsoft Power BI and the provided Excel dataset. Our approach employs Python . pbix - PowerBI Dashboard file Global-Superstore---PowerBI-Sales-Snapshot. The dashboard presents detailed insights into business performance metrics, allowing for informed strategic decision-making. Interactive Jul 24, 2023 · This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. This project provides an end-to-end experience, from data Super Store Sales Analysis with Power BI. A comprehensive Power BI dashboard utilizing the Global Superstore dataset, providing robust and dynamic data visualizations. It include various visualization helps to stakehol This Power BI project analyzes the Sample Superstore dataset, offering descriptive and prescriptive insights through two interactive dashboards. Data Transformation: Using Power Query to clean and prepare the data. 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. - hshariq/Global-Superstore-2016-Power-BI The Amazon Superstore Report based on the Global Superstore dataset will provide valuable insights into the business operations, sales performance, and market trends. Power BI is used as the visualization tool to create interactive and visually appealing reports. This dataset represents a fictitious retail store with a global footprint, providing insights into various aspects of its business operations, such as sales, profits, customer demographics, and regional Saved searches Use saved searches to filter your results more quickly The goal of this project is to leverage Power BI's powerful features and capabilities to analyze and visualize the US Superstore dataset. rqhih hthu qac jgm rjuuvg xsxqru wveh igxsnrmi mmqem nwlacd