Superstore dataset power bi pdf. This project provides an end-to-end experience, from data .
- Superstore dataset power bi pdf - Itsmeseba/Power-BI--Data-Transformation-Visualization SQL queries are utilized to extract relevant information and derive insights from the dataset. This repository contains a project on visualizing Superstore sales data using Power BI. The dataset is clean to a good extent, so few cleaning steps were carried out using the power query editor on the PowerbI desktop. This file contains the dataset and simple plots to understand the Power BI interface. Power BI Files Used in the Videos Power BI Service - Create Workspace (7:54) Power BI Service - Schedule Refresh (5:16) SuperStore Dataset Lesson content locked If you're already enrolled, you'll need to login. 6M. Each visualization is thoughtfully chosen to represent data in the most informative and visually engaging manner. In this Data Analysis project, we’ll analyze a global SuperStore raw sales data and draw meaningful insights. This project explores key business questions such as: Top Performers: Which product sub-categories drive the highest sales, and how significant is their contribution to overall revenue? A comprehensive Power BI dashboard utilizing the Global Superstore dataset, providing robust and dynamic data visualizations. Key insights from the superstore dataset include identifying top-performing regions, cities, and customer segments. Power Query M Functions. This table also contains information about customers like name, address and information about orders like product name, order-id, product category. Data Cleaning and Preparation Cleaning the data involves manipulating, removing duplicates and handling null/missing values Welcome to the SuperStore Sales Dashboard project! As a fellow data enthusiast, I'm excited to share with you this comprehensive Power BI project that transformed raw data into actionable insights. Some visuals required the writing of Data Analysis Expression (DAX) before their creation. IRJMETS - Low cost journal with DOI |Rs. The data is truncated from the original US superstore dataset(due to capability of my laptop). g. This dataset is the Superstore dataset. Dataset. Introduction. This is the link to the dataset: . In this project, we analyze and visualize the sales data of a superstore to gain insights and make data-driven decisions. Sales Insights: Uncovering patterns and trends in sales data, identifying peak sales periods, and analyzing sales performance across different This visualization project aims to analyze a fictitious superstore’s sales performance between 2016 and 2019 using Microsoft Power BI. 39% of the total quantity. Learn more. Step 3: Select "Column Profiling based on entire dataset" to This project analyzes the sales data from a fictional retail store, "SuperStore. Saved searches Use saved searches to filter your results more quickly Power BI - Import Excel Data; Data Modeling in Power BI - Best Practices & Examples; How to Calculate Year over Year(YOY) Growth % in Power BI? Creating a Table Heatmap in Power BI; How to add line breaks in a string of text in DAX measure; Import Data From SQL Server Into Power BI; Column quality, Column distribution & Column profile The Global Superstore Sales Analysis repository showcases a comprehensive Power BI dashboard that provides valuable insights into sales performance. The dashboard should encompass essential metrics like overall sales, product-specific sales, geographical sales distribution, customer segment analysis, and product category breakdown. The table also contains order information like customer name, product Using DAX and calculated columns, these analyses provided insights into various aspects of the superstore's operations. Description The project encompasses several critical components: Data Source: I have utilized the publicly available Sample Superstore dataset, which provides a rich set of sales-related data. Developed an interactive dashboard and applied time series forecasting to predict sales for the next 15 days, providing actionable insights to drive business decisions. Load the The analysis is divided into several sections, each targeting specific aspects of the store's performance: Exploratory Data Analysis (EDA): Initial exploration of the dataset to understand its structure and identify any data quality issues. Interactive Problem_Statement_Superstore - Free download as PDF File (. The dataset is analyzed and visualized to gain insights and make data-driven decisions. 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. Saved searches Use saved searches to filter your results more quickly You signed in with another tab or window. Clone or download the repository to your local machine. Global Superstore SQL Queries. 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 SQL queries are utilized to extract relevant information and derive insights from the dataset. Open Power BI Desktop and Load the Sample Superstore dataset. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Open the Power BI project file (. Data Set URL 2. 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. 💻🛠️ Designing the Dashboard: Create visually compelling representations using various chart types and filters. UwÒS6D]T _ê=d$´õzXF„œ´zTÕ2!Þ^5 ~ùí ¿þùïÏ à˜À 0šÌ «ÍîpºÜ ¯ ¯Ÿ¿ÿÌ\Og¸œŒ~ ì ÷l$´»'d @–•4Ýé¢dûÙQ %·$gý©šÛiÎ Insights from the Super Store Sales Dashboard. This repository showcases the Superstore Sales Analysis project, which aims to analyze and visualize the sales data of a fictional superstore. Identify the KPIs (Total Sales, Total Profit, No. The combination of cards, slicers, and various charts ensures a rich and interactive user experience, making it easier to derive meaningful insights from the dataset. The analysis focuses on uncovering business-critical insights such as sales trends, regional performance, product profitability, and customer segment contributions. Region Report. The West region emerged as the leader in total quantity sold, accounting for 32. The Global Superstore dataset is data from a global retail chain that sells office supplies, Furniture and Technology Stuff. The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. 🎥 Tugas Akhir Power BI - Superstore DatasetDalam video ini, kami menyajikan hasil analisis dan visualisasi data menggunakan Power BI dengan dataset Supersto Store Analytics dashboard having sales, profits, customers, region etc. dummy sample. This contains 2 excel files: 1. - SonamNath/SuperstorePowerBi Contribute to SabinaSad/Global-Superstore-Data-Analysis-with-Power-BI development by creating an account on GitHub. Repository files navigation. The dataset includes information on sales, orders, and customer data from various regions worldwide. The project focuses on sales, profit, and customer metrics, with interactive insights provided through a dashboard. - Lusha14/Superstore-sales-dashboard-PowerBI My drive to know which products, regions, categories and customer segments a company should target or avoid, I search and selected an appropriate dataset on kaggle which will match a standard superstore requirement. For the product table and customer table, their first rows were used as headers by selecting the "Use first row as headers" icon under the transform tab. shipping • eBooks in multiple formats – Read on your Created a dynamic Power BI dashboard using the Superstore sales dataset for detailed analysis of sales metrics, customer segmentation, product performance, and geographic sales distribution. Load Data. docx. Each segment has a dedicated dashboard page that addresses the business intelligence questions raised. This project was aimed to leverage the power of data visualization and analytics to take strategic initiatives for improved business outcomes. The dataset consists of sales data from a US based retail company, including information about customers, products, orders, and regions Developed an interactive Power BI dashboard using store sales data to visualize key metrics such as total revenue, profit, units sold, and delivery times. Having completed the transformations, I closed and applied the changes to load the refined dataset into Power BI for visualization. - grahulp5/Superstore-Analysis-Power_BI-Dashboard Import data from 2023 Worldwide Box Office - Box Office Mojo and add the past 3 years of data in the Power Query editor, create a master table of the past 3 years of data, and load only master data in the power bi query editor or power bi desktop? Reports created using Power BI on superstore data. pdf Saved searches Use saved searches to filter your results more quickly Data Extraction: Key metrics and visual insights were extracted from the Superstore report. This project explores key business questions such as: Top Performers: Which product sub-categories drive the highest sales, and how significant is their contribution to overall revenue? Creating a funnel chart in Power BI using the Sample Superstore dataset involves a few steps. Reload to refresh your session. Users can Time series sales analysis and forecasting. It include various visualizations to help stakeholders analyze and understand In this Power BI case study, I'll investigate a dataset from an example telecom company called Databel and analyze their churn rates. pbix' file in Power BI Desktop to explore the interactive visualizations and gain valuable business insights. You switched accounts on another tab or window. The dataset contains information on sales, orders, customers, and products for the retail store. The Super Store's shipment Power BI Interview Questions Power BI Certification Details Power BI Job Openings Power BI Sample Data. Visualizations. The dashboard is built using the Superstore sales dataset. AYN superstore is located in the United States of America 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. Data Exploration: Global Superstore 2015 using power bi. - AnjanaAbY/Global-Supersore-PowerBI The Amazon Superstore Report based on the Global Superstore dataset will provide valuable insights into the business operations, sales performance, and market trends. Applied advanced forecasting techniques like time series analysis and predictive modeling to project future sales trends and uncover insights. The report covers a specific scenario where I Contribute to vikasc2003/Superstore-Sales-Dashboard-using-POWER-BI development by creating an account on GitHub. Report. If you have a Microsoft account, you can also publish your report to Microsoft Power BI service for others to view and interact with. This dashboard functions as an all-in-one solution for monitoring, analyzing, Superstore Sales Dashboard. By proceeding you acknowledge that if you use your organization's email, your organization may have rights to access and manage your data and account. Report Pages: Overview Page: This page displays top-level metrics such as total View Superstore Data Analysis-2. A Power-BI data visualization from raw data to valuable output of a superstore data-set - somnath-97/Global-Super-Store-2016 Step 5 : Data Integration: Connected the three datasets using common columns. The Office Superstore’s total sales grew from $205,446. Workshops. The Descriptive Dashboard allows users to explore historical data trends with dynamic visuals that update based on the selected analysis type. **From the dataset, our insight is that the overall sale is 1. txt) or read book online for free. , Matplotlib, Seaborn) were used to recreate and enhance data visuals. The Superstore Analysis project provides a detailed examination of the Superstore dataset to extract valuable insights and visualize the results. SQL. The dataset is often used by data analysts and data SuperStore-Sales-Dashboard Power BI Dashboard Objective - To contribute to the success of a business by utilising data analysis techniques, specifically focusing on time series analysis, to provide valuable insights and accurate sales forecasting. This case study helps to understand why customers are churning at the rate they are, and how to reduce churn. Contains dashboards and datasets for Power BI . We explored the Superstore dataset through Power BI, unearthing insights from sales and profit data. 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 welcome to the power BI project for the global superstore dataset. Power BI dashboards can serve as a valuable tool for gaining insights into an organization's sales performance and identifying trends. This Power BI report offers an in-depth analysis of the Global Superstore dataset, covering three key areas:. pbix Power BI Desktop file. txt) or read online for free. To begin your Power BI journey, follow these steps: Download and install Power BI Desktop; Connect to a sample dataset or your own organizational data Introduction Global Superstore Power BI Project Introduction Welcome to the Global Superstore Power BI project! This project aims to analyze and visualize sales data from the Global Superstore dataset using Power BI. Power BI, a leading business intelligence platform by Microsoft, enables users to create visually appealing and insightful dashboards from diverse data sources. 1. GROW WITH U To address these challenges, a Power BI Dashboard is developed to present an interactive visual story. Through the analysis of the superstore sales data and the implementation of sales forecasting using Power BI, this project provides valuable insights for business owners and decision-makers. Enhance our understanding of business dynamics through interactive visualization Power BI \n \n \n; How to Use \n; Contributing \n; License \n \n Introduction \n. With its intuitive interface, robust capabilities, and AI-powered insights, Power BI is an indispensable tool for any data professional or business decision-maker. xlsx Text Query Functions. Analyzed regional performance and customer preferences to provide actionable insights for stakeholders. This project is designed to present key information and trends to stakeholders, enabling informed decision-making. Saved searches Use saved searches to filter your results more quickly Type of Data Set: Sales Dataset Stakeholder Requirement / Problem Statement: The analysis aims to identify areas where the company can improve its performance and productivity, also draw out insight for Improved Decision-Making, Sales and Profitability. - resourcereps/global-superstore-powerbi The dataset used in this project is the Superstore dataset, which can be found on Kaggle. Welcome to the Grocery Stores This project presents a dynamic and interactive Power BI dashboard that offers a comprehensive analysis of sales, profitability, returns, and individual salespeople performance within a company. It includes various visualizations to help stakeholders analyze and Creating a scatter plot in Power BI using the Sample Superstore dataset involves a series of steps. Column details 4 4 4 4-5 3 Data Cleaning 1. Power BI Course: Download Practice Datasets. - Superstore-sales-dashboard-PowerBI/salesdash 2. Interactive Dashboard: Dynamic Power BI dashboard with filters for region, product categories, and time range. Open the Power BI file to view the report and interact with the dashboard. Payment Insights: 43% prefer COD, 22% Cards, 35% Online - Tailoring payment options can enhance customer satisfaction. Download the dataset (Superstore. pdf. Power Query Editor in Power BI: The Power Query Editor is used to transform, filter, and shape data. Gain insights into top-performing regions and sales trends over time. 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 For the analysis, I delved into the Superstore sales dataset sourced from Kaggle. Use the provided Excel files for reference data and metrics. Microsoft Azure. Power BI dashboards can be a helpfull tool to provide insights into sales performance and trends of an organization. Welcome to my journey through the Global Superstore dataset! Here, I delve deep into the data, extracting valuable insights and uncovering trends. Saved searches Use saved searches to filter your results more quickly Data Analysis\nOur data analysis approach involves utilizing charts and visualizations to uncover meaningful insights from the available dataset. Quiz. Visualization: Tools like Power BI or Python libraries (e. It includes various visualizations to help stakeholders analyze and understand key aspects of the business. Quickly spot increases or decreases in sales, profit ratio, and shipping time, Superstore Sales Dashboard. Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Dataset. We all use the online global store The goal of this project is to leverage Power BI's powerful features and capabilities to analyze and visualize the Global Superstore dataset. This repository contains a data visualization project analyzing the SuperStore Sales Dataset. Superstore Data Analysis JOSEPH LETIZIO SALES BY STATE CATEGORY OF SUPPLIES SOLD Technology 19% Office Superstore dataset Data Visualization using Tableau. The data is available in several formats: built-in sample in the Power BI service and . As a beginner, this approach allowed for quick access to a sample dataset without the need for extensive data collection skills. Executive and Judicial Power. xlsx. pdf at Contribute to Raghavs34/Data-Driven-Sales-Optimization-and-Forecasting-for-Superstore-A-Power-BI-Approach development by creating an account on GitHub. ; Steps: . ) and combined for analysis. 1 Introduction and Goal 3 2 Data Set 1. The Superstore Sales Dashboard, created using Power BI, is crafted to offer a detailed and interactive perspective on the sales performance of a retail superstore. It is designed to provide deep insights into the company's operations, highlighting areas for improvement and showcasing successes. INF 433. To explore key business metrics, trends, and patterns in an interactive and visually engaging manner. Power Query: Applied for thorough data cleaning and transformation, ensuring high data quality. Key Features: Sales The goal is to provide valuable insights and recommendations, design an intuitive and intractive dashboard that can drive strategic decision to support the supermarket's goals for growth, efficiency and satisfaction. Saved searches Use saved searches to filter your results more quickly SQL queries are utilized to extract relevant information and derive insights from the dataset. Analysed large dataset of Global superstore for 4 year(Sum of sales by region,segment,,customer name ,profit,etc) as businesses should retain accurate sales records because they can give them significant insight into how well their firm is operating, which things are proving to be profitable, and what changes they can make. ; Customer Insights: Visualizations showing customer purchasing behavior and regional trends. OK, Got it. " The goal is to uncover key insights into sales, profit, and customer trends through data processing and Power BI Import Mode With Excel Data. . Python. pdf SuperStore_Sales_Dataset. Analyzing the tables Livinus Power BI Assesment. 📊 Visualizing Retail Insights: Unveiling my Power BI Dashboard on Walmart Dataset 🛒 👋 I'm thrilled to share my latest achievement – a dynamic Power BI dashboard that breathes life into the Walmart dataset, offering valuable insights into the world of retail. The dashboard includes dynamic visualizations on segment-wise sales, payment modes, shipping modes, regional performance, and time-series analysis. Overview Report. This Power BI dashboard analyzes the Superstore dataset to help a Superstore Giant understand which products, regions, categories, and customer segments to target or avoid. This project provides an end-to-end experience, from data Saved searches Use saved searches to filter your results more quickly Welcome to the Power BI project for the global store dataset! This project provides a detailed report on sales transactions across branches worldwide. This project includes cleaning the Global Superstore dataset in Power BI and creating an interactive sales dashboard. In this article, we will look at the 13 Best Datasets for Power BI Practice, which are essential in helping data professionals build their proficiency in Power BI. The Global Superstore dataset provides a comprehensive glimpse into the retail landscape, encapsulated within an extensive Excel file featuring three distinct sheets: ‘Orders Power BI: Utilized for data analysis and visualization, allowing for dynamic exploration of the dataset. The dataset contains historical sales data including product details, sales amounts, dates, and many more. Python for Beginners How to install Python Python Interview Questions. This case study analyzes a large retail superstore in the United States. Explore the code and reports to gain insights into sales performance, customer behavior, and Data Extraction: Key metrics and visual insights were extracted from the Superstore report. pdf INTRODUCTION. This dataset encompasses a period of four years with over 50,000 rows, each containing essential details that help Dataset containing Sales & Profits of a Superstore Dataset containing Sales & Profits of a Superstore. ; The drill-through feature SQL queries & Power BI visuals analyze Superstore sales, offering insights into performance and trends - HashanPavi/Sales_Dashboard---MYSQL-PowerBI Report. The dataset used is a sample dataset provided by Superstore. Trine University. The dataset contains sales data of a superstore from 2014 to 2017, including information such as order date, region, category, sub-category, sales, profit, and more. See Samples for Power BI. This Power BI report analyzes the Global Superstore dataset, providing key insights into sales, profitability, shipping, and regional performance. Key Objectives: 1. Global SuperStore 2016 Data Analysis Project utilizing Power BI. This megastore, which sells furniture, office supplies, and technology products, is situated in the United States of America. Data Analysis with SQL Project - Superstore Sales Analysis. You don't need a Power BI license to explore the samples in Power BI Desktop. Start mastering Power BI today. For this Power BI Dashboard project, the dataset was sourced from Kaggle, providing a readily available and convenient starting point. Clone the repository and open the '. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. 2. This repository showcases the Superstore Sales Analysis project, which aims to analyze and visualize the sales data of a superstore. 286 in 2017, an increase of 77. Create a dashboard, do a Show and Tell at the end of the Sprint; Create a power point presentation to present the This Power BI dashboard comprehensively analyses the Global Superstore dataset, offering insights into sales, profits, and other key metrics. sample. SQL Server. Home. README; To enhance business performance by analyzing a two-year Superstore sales dataset, uncovering key sales and profit trends, and import data, clean and process data, design dashboard, use of advance charts and maps, filters and slicers, forecasting in power bi, export dashboard as pdf, project insights and learnings - Elizzzaaaa/superstore_powerBI_dashboard_with_forecastingModel- While this Superstore dataset dashboard serves as a sample, imagine the possibilities with real business data — how much more actionable insight could be uncovered! Power BI E-commerce Importing and Cleaning Data: Utilize Power Query Editor for efficient data preparation. Global Superstore Report. Contribute to becca-code/Superstore development by creating an account on GitHub. 6M - An 10. The Global Superstore is a retail dataset which contains an excel file with three sheets named as 'Orders', 'People' and 'Returns' over 4 years starting from 2012 till 2015 , covering orders of 147 countries around the world. The goal of this project is to leverage Power BI's powerful features and capabilities to analyze and visualize the Global Superstore dataset. This Power BI Dashboard represents sales of different products by : Year; Segment; Country; Top/Bottom products by profit; Total number of sales; Quality sold; Average delivery days; Returned orders; Steps Covered: Connecting Database with Power BI Desktop. Courses. It is an interactive dashboard made on Power BI Desktop using a dataset named Global Superstore 2016, different graphs and charts are used to represent the data to form the visualization - iamhudaib/Global-Superstore-2016 This is a visualization of the popular yet simple dataset - Superstore, using Microsoft Power BI. This analysis was conducted as a task assigned by Vikot Solutions limited. Dataset Superstore - BI Analyst - Free ebook download as Excel Spreadsheet (. In this project, you'll find a comprehensive collection of resources and code to help you master Power BI and dive into the world of data analytics. The dashboard includes the following visualizations: About. Download Power BI Sample Data Set for practice purpose, Power BI SuperStore, Map & Time Series Data Set excel sheet are available. Steps Covered: Connecting Database with Power BI Desktop. com • Hundreds of titles available – Books, eBooks, and online resources from industry experts • Free U. This project is designed to present key information and trends to stakeholders, Superstore Dataset Using Power Bi. Super Store Sales Dashboard. DAX. 51 in 2014 to $357,260. Power BI Visualization. The main objectives of the project are to examine the sales and profit 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. Features Global Superstore Power BI. About; Power BI is a business analy±cs tool developed by Microso² that enables users to visualize data and share insights across their organiza±ons. Overview of Superstore Sales Dataset: Total number of orders Total sales Average profit. In this project, I have utilized the Global Super Store dataset and the Microsoft Power BI Visualization Tool to explore various business insights and provide recommendations based on the analysis. The primary goal is to gain insights into the sales performance of the Superstore and create an interactive Power BI dashboard for business stakeholders. Dax Function Used : DateAdd, AddColumns, Filter, Calculate, Switch, If,Else,All, AllExcept, AllSelected Welcome to the SuperStore Sales Dashboard project! As a fellow data enthusiast, I'm excited to share with you this comprehensive Power BI project that transformed raw data into actionable insights. This analysis of a fictional US superstore sales data using Power BI provides invaluable insights into the performance, trends, and opportunities within the retail landscape. - saket-a/Superstore-Data-Visualization-using-PowerBI 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. Interactive and user-friendly visualizations were created in Microsoft Power BI, resulting in two dashboards providing students with current information on the job market landscape: (i) Analytics The Superstore Sales Dashbo It features dynamic visualizations to track total sales, profit margins, and order quantities across different regions, categories and enabling data-driven decision-making to optimize sales strategies and enhance business growth. Below are the general steps to create a scatter plot: Open Power BI Desktop. 1%. Step 2: Open Power Query Editor and in the View tab under Data Preview section, check "Column Distribution", "Column Quality", and "Column Profile" options. Contribute to suyashi29/Power-BI-Data-Sets-and-Lab-Dummy development by creating an account on GitHub. Sample - Superstore. Topic Page No. The funnel chart is typically used to visualize stages in a process, showing the reduction in data as it moves through various steps. Sample - Superstore for Tableau 9. All analysis and visualizations were done in Microsoft Power BI. xls . Utilizing Power BI, this project delves into various aspects such as overall This project analyzes the sales data from a fictional retail store, "SuperStore. It delivers valuable insights and precise sales forecasting to inform strategic decision-making. Saved searches Use saved searches to filter your results more quickly Saved searches Use saved searches to filter your results more quickly You signed in with another tab or window. project_POWER_BI . Superstore: Data Visualization with Power BI 12-19-2022 06:47 PM. About. In the initial data preparation phase, we performed the following tasks: 1 Data loading and inspection. Becoming really familiar with the structure and content of the superstore dataset is like learning the Rosetta Stone of Tableau. The dashboard features insightful visualizations and analytics focused on sales performance, customer demographics, and product trends within a retail context. Ensure you have Power BI Desktop installed on your machine. Step 6 : Custom Columns: Added 'Delivery Days' and 'Delivery Year' for enhanced analysis. sql: This file contains the queries used for this project and as seen on the documentation as well. Created a Donut Chart that displays profit by region. S. 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. It gives an overview of Sample Welcome to the Power BI project for the global store dataset! This project provides a detailed report on sales transactions across branches worldwide. By understanding customer behavior, identifying top-performing products, and utilizing accurate sales forecasts, businesses can optimize their operations Tools and Technologies Power BI Excel Power Query Data Visualization Data Analysis Setup Instructions Clone the repository. The data, sourced from the Superstore retail transaction dataset on Kaggle, covers the period from 2014 to 2018. A simple pbix data with a report pdf of dashboard created on Power BI Service online for Mac users. pdf: This file contains report from the analysis. 599 publication fees |In 4 hr SQL queries are utilized to extract relevant information and derive insights from the dataset. Skip to content Power BI Docs. - smartyyboy/Superstore-dashboard-in-power-BI Saved searches Use saved searches to filter your results more quickly Import Data in Power BI: Data is imported from multiple sources (Excel, databases, etc. This Power BI project analyzes the Sample Superstore dataset, offering descriptive and prescriptive insights through two interactive dashboards. From importing and cleaning data to crafting advanced charts and forecasting, this project has been a labor of love. Data Cleaning using Power Query Editor with DAX This repository contains a comprehensive data analysis and visualization project using Power BI, focusing on the Global Superstore dataset. Analyzed Superstore sales data using Power BI to uncover key insights, including sales trends, shipping preferences, and product performance. It is designed to help stakeholders make informed decisions based on the data from the Global Superstore. Download Dataset - Power BI Docs. Join me on a journey through the world of retail with Power BI masterpiece, the "Superstore Dashboard Analysis. csv Power BI Dashboard • Created connections, join new tables, Extracted data & performed data modeling, data cleaning, Data transformation(ETL), LOD Expressions, DAX queries, measure/calculations, dual-axis to Introduction. Customize the dashboards as needed for your own analysis or use the existing ones for business insights. There is lot more in playing around with bookmarks and buttons which cannot be observed here. x versions. You signed out in another tab or window. Regional Sales Snapshot: West leads with 33%, Central with 22%, East with 29%, South with 16% - Targeted marketing is key. This project involves creating an interactive and insightful Power BI dashboard to analyze sales, profit, and customer segments using the Superstore dataset. Scribd is the world's largest social reading and publishing site. No. Explore trends, sales, and customer behavior in this comprehensive analysis of the Global SuperStore's 2016 dataset. ; Set up a Drill Through page specifically for the West Region to allow users to explore detailed performance metrics for that region. By leveraging Power BI's data transformation and visualization capabilities, these dashboards provide insights into key My Power BI report consists of four pages, each designed to provide insights into different aspects of the business. xls) and open it in your Power BI environment. Renaming column 2. In this Superstore Sales Analysis portfolio project, we delve into the sales data of a superstore to optimize operations and enhance profitability. The dataset consists of sales data from a global retail company, including information about customers, products, orders, and regions. DAX Functions: Created dynamic measures and KPIs to support in-depth analysis and provide meaningful insights. Open the Power BI file (superstore dashboard. Creating a funnel chart in Power BI using the Sample Superstore dataset involves a few steps. With the Global Superstore 2023 dataset as the foundation, you can explore, analyze, and visualize valuable insights. As the sales manager, you must: 1) Forecast business for the next 3 years and identify the least profitable areas or sub-categories to divest. xls Sample - Superstore for Tableau 8. 57 million, the profit is 175k, and the time for delivering a product is approx. Analyzing the tables and relations. 📈🔮 DAX for Analysis: Employ Data Analysis Expressions for in-depth data analysis and Superstore Sales Data Analysis - Power BI Project Objective This project aims to bolster business success through meticulous data analysis, with a spotlight on time series analysis. Load Data Open Power BI Desktop and Load the Sample Superstore dataset. 📊🎨 Forecasting in Power BI: Implement forecasting models for future sales predictions. Live Training With Hadelin The superstore Sales Dashboard is a Power BI project designed to analyze and visualize sales data for a selling business. Save €200 with code MSCUST on top of early bird pricing! Shout out to Harish for contributing to this superstore dataset and constantly providing clarifications of the data nature. This high-level report shows the overall sales figures and elements at a glance. The visualizations and analysis derived from the report will enable data-driven decision-making and aid in identifying areas for improvement and growth opportunities. Something went wrong and this page crashed! Super Store Sales 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 dashboard should include key metrics such as total sales, sales by product, sales by location, sales by customer segment, and sales by Here’s a detailed look at the 13 best datasets for Power BI practice, The Sample Superstore dataset simulates the operations of a retail store, providing rich details on sales transactions, customer demographics, and product performance. Podcast. Power BI: As the primary data visualization and exploration tool, Power BI facilitated the creation of This Power BI project analyzes grocery store data, offering insights through Executive Summary, Product, Sales, and Return analyses with user-friendly navigation. xlsx), PDF File (. Connecting Database with Power BI Desktop; Analyzing the tables and relations This project features an interactive Power BI dashboard built on the Super Store dataset, providing insights into sales trends, customer preferences, and business performance. It offers multiple interesting dimensions to explore like order priority, product category, ship mode, location details, product segment and time Design Of a Sales Dashboard using Power BI Desktop with Global Superstore Dataset - Nikh1992/Sales-Dataset You signed in with another tab or window. Leveraging the power of Microsoft Power BI, we have created a dynamic dashboard that Get free sample datasets to practice Power BI. pdf from ENGLISH 12 at Chariho Regional High School. Below is the final PowerBI Dashboard. pbix) or import the dataset into a new Power BI project. The analysis was conducted using Microsoft Power BI and the provided Excel dataset. This is a repository for a project on visualizing sales data of a superstore using Power BI. POWER BI SALES PROJECT(15-06-2023) PDF. - lijesh010/GlobalSuperstoreSalesAnalysis An Interactive Dashboard using Power Desktop on Global Superstore Dataset collected from Kaggle. 24% YoY growth between 2016 to 2017. M icrosoftPressStore. By combining Exploratory Data Analysis (EDA) and predicted sales for the next 14 days using a 4-year retail dataset from a global 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. This project provide a detailed report on sales transactions across branches worldwide. Download and explore these datasets at your own pace. It provides insights into key performance indicators (KPIs), sales trends, customer demographics, and product performance To export your Power BI report, you can save it as a PDF or in PBIX format. 📈🛍 📌 Navigating the : Developed a Business Intelligence (BI) Dashboard using Power BI. An analysis of the global superstores dataset. Best-Selling Category: Office Supplies - Exploring similar products promises growth. The dataset includes order details, anonymized customer information, product specifics, and The Global Superstore Sales Analysis repository showcases a comprehensive Power BI dashboard that provides valuable insights into sales performance. Saved searches Use saved searches to filter your results more quickly About This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. - GitHub - anishaman/US-Superstore-Power-BI-report: This report is created for the sales insight from recorded data in a US superstore. I will be working on the Superstore Dataset analytics project as part of the evaluation for the PSP Analytics-organized Data Science course. The report is structured into four pages, each focusing on specific aspects of the data to inform strategic business decisions. Pla³orms of Power BI • Power BI Desktop: A Detailed Power BI dashboards on Superstore dataset - GOWTHAMJEEVANANTHAM/Power-BI-on-Superstore The goal of this project is to leverage Power BI's powerful features and capabilities to analyze and visualize the US Superstore dataset. There is a 14. Interview Q & A. Key Features: The dataset includes dimensions such as order date, region, Objective: Create a Donut Chart showing region-wise profit and implement drill-through functionality for the West Region. Superstore Analysis. Total Revenue: $1. Dataset Owner Acknowledgement: Shout out to Harish for contributing to this superstore dataset and constantly providing clarifications of the data nature. 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? Note: I wrote another practical article on this dataset using Power BI. Published by SuperDataScience Team. xlsx dummy. The data has three tabs (Orders, Returns and People). It provides insights into sales trends, total revenue, profit, and customer behavior, offering valuable business recommendations for strategic improvements. Superstore-Analysis Power BI Dashboards for Super Store Dataset Analysis using Power BI. " This comprehensive exploration uncovers hidden insights within this dataset superstore Sales Analysis and Dashboard Using Power BI - kailashd94/SuperStore-Sales-Power-BI-Dashboard 2. of Super Store Sales Analysis with Power BI. The Sample Superstore Sales dataset provides sales data for a fictional retail company, including This Power BI report analyzes the Global Superstore dataset, providing key insights into sales, profitability, shipping, and regional performance. 2) Analyze profitability across different US regions and states. pbix: This file contains the data visualization of this project and as seen on the documentation as well. Sample Superstore Data Analysis using Power Bi. csv. The data was cleaned by promoting headers, correcting data types, and removing duplicates. pbix) in Power BI The dataset is a Global Superstore dataset based on sales and was found on Kaggle. This crucial step paved the way for insightful and meaningful Data Cleaning/Preparation. ; Profitability Analysis: Drill-down into high-profit and 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 This Power BI dashboard provides a comprehensive visualization of sales data from the Superstore dataset, showcasing the power of Power BI's major components. ️ Reference links ~dashboard showcase~ Super Sample Superstore This corporate style viz is a different take on the classic Tableau Superstore data set. Wrapping up. Dataset details 4. " The goal is to uncover key insights into sales, profit, and customer trends through data processing and visualization. xls / . My aim is to provide analyses that are easy to understand, aiding in making This project involves analyzing the Global Superstore 2 dataset to create a comprehensive Power BI dashboard that presents insights into sales, profit, customer behavior, and product performance. You just need a Fabric free license to explore the sample in the Power BI service, and save it to your My workspace. SuperStore_Sales_Dataset. 2 Removal of N/A values 3 Handling missing values. Sales Performance Analysis: • Identify top-selling products Analyzing the Global Superstore 2016 dataset, including steps like data cleaning, data preparation and finally visualizing the data using various charts and graphs displaying an interactive PowerBI dashboard. Product-Based Analysis; Customer-Based Analysis; Region-Based Analysis; The report is designed to provide insights into sales performance, profit margins, and customer behavior, while allowing for drillthrough, tooltip pages, and interactive slicers. Dataset Involved: The dataset only involves the Orders excel, which contains the data about the superstore product orders in the US from 2019 - 2020. List of the Best Datasets for Power BI Practice 1. 1 How to Create a Superstore Report in Power BI |Power BI Tutorial for Beginner |By Pavan LalwaniPower BI Desktop will be shown in this video. ; Sales and Profit Analysis: In-depth analysis of sales performance and profit margins across different segments. Power BI. This project focuses on analyzing the sales and profit data of the company "Superstore" and includes customer segmentation using RFM Analysis and K-means clustering. The ultimate Microsoft Fabric, Power BI, Azure AI, and SQL learning event: Join us in Stockholm, September 24-27, 2024. This repository contains the Superstore Analytics Dashboard, a Power BI project developed using the Superstore dataset. The primary focus areas include: Overview of Superstore Sales Dataset: • Total number of orders • Total sales • Average profit. The Power BI dashboard demonstrates how multiple end-users can be catered for in one place. Installation. Overall Performance Sales: The total sales for the period are 1. ; Dataset: Superstore Dataset. Orders: A total of 22K orders were placed. CIS-5270 BUSINESS INTELLIGENCE 2 Table of Contents S. Utilizing Power BI, this project delves into various aspects such as overall performance, category/sub-category analysis, sales trends, profitability, return analysis, regional Step 1: Load data into Power BI Desktop, dataset is a CSV file. This guide uses a typical superstore dataset to demonstrate how to build an insightful Power BI dashboard and report. Dataset about superstore sales report . Prerequisites. Saved searches Use saved searches to filter your results more quickly This project involves the analysis and visualization of sales data from the Superstore dataset, which was imported from Kaggle. Sales Performance Analysis: The data is truncated from the original US superstore dataset(due to capability of my laptop). pdf), Text File (. Learn more about using your This Power BI dashboard provides an interactive visualization of sales data from the Superstore dataset. Sample Superstore Sales. It allows users to create interac±ve reports and dashboards from various data sources, making it easier to analyze trends, monitor performance, and make data-driven decisions. The dashboard features filters, maps, and charts to explore sales trends and insights. About the dataset 3. - AmitBhowmick01/Visu You signed in with another tab or window. You signed in with another tab or window. Create Free Account. This project involves the development of two interactive dashboards using Power BI to analyze the sales and profit performance of a US superstore. pdf View all files 1. The Superstore Dashboard using Power BI is a comprehensive and interactive data visualization tool designed to analyze and explore the Superstore dataset. I’m excited to showcase my Power BI dashboard, designed to extract actionable insights from the Superstore dataset. Results from SQL query. It allows users to analyze sales performance, trends, and insights to make data-driven decisions. Exploratory Data Analysis (EDA): Descriptive statistics and visualizations were used to analyze trends and performance. 4 days. The repository hosts all the necessary files and resources to reproduce the analysis and visualize the findings through an interactive The Global Superstore Data Analysis project using PowerBI enhances decision-making by providing a comprehensive and visually appealing analysis of sales data. SuperStore Orders This excel file contains the data about orders made by customers for any product. - anuppm9917/Super-Store-Sales-Analysis-Power-BI-Project You signed in with another tab or window. By identifying trends, patterns, and correlations, we aim to provide valuable information about the performance of different sales strategies employed by the supermarket. The analysis of Superstore's sales data over the past four years reveals a total revenue of $10 million, with consumer and technology segments prominently driving sales. Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Data Cleaning & Processing in Power BI: Data is cleaned and pre-processed to ensure consistency and accuracy. The dataset used in this project is the Superstore dataset, which can be found on Kaggle. We also demonstrated step-by-step data transformation, visualization, and analysis techniques and created impactful I have created an interactive dashboard on sample superstore from Microsoft Power BI desktop for business intelligence learning . uqseru ruaxyad pziq wyr hrocyf wmtdzo jec jgaja deq iyac