Superstore dataset power bi github. The dataset consists of 9994 rows, excluding the header.

Superstore dataset power bi github Our approach employs Python The "Walmart sales analysis Power BI dashboard for insights and trends" provides comprehensive data analysis and visualizations for Walmart's sales performance, enabling users to uncover valuable insights and emerging trends. The aim is to provide a detailed report of the sales data, segmenting by location (country, region, market) and analyzing various aspects like shipping mode, sales by city To contribute to the success of a business by utilizing data analysis techniques, specifically focusing on time series analysis, to provide valuable insights and accurate sales forecasting. From filters and slicers to various visualizations, calculated columns, and measures, this dashboard offers valuable insights into the sales performance of the Superstore. Global-Superstore---PowerBI-Sales-Dashboard. pbix: Repository Link Dec 4, 2024 · This project features an interactive Power BI dashboard built on the Super Store dataset, providing insights into sales trends, customer preferences, and business performance. 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. python data-science machine-learning anaconda numpy excel office pandas data-visualization data-analysis matplotlib arima furniture prophet statsmodels spyder itertools time-series-analysis time-series-forecasting superstore This repository contains the Power BI analysis of the Global Superstore dataset. The visualizations and analysis derived from the report will enable data-driven decision-making and aid in identifying areas for improvement and growth opportunities. 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. 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. Download the project files from the GitHub repository. This Github repository contains a US superstore dataset with customer, product, and revenue information. This project provides a detailed report on sales transactions across branches worldwide. This project involves in-depth data analysis and interactive visualizations to understand sales trends, customer behavior, and regional sales performance 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. Through data visualization, I've uncovered hidden patterns and trends within sales figures, customer demographics, and product performance, gaining a deeper understanding of consumer behavior and market dynamics. This project provides an end-to-end experience, from data Super Store Sales Analysis with Power BI. The data was cleaned by promoting headers, correcting data types, and removing duplicates. Features It offers multiple interesting dimensions to explore like order priority, product category, ship mode, location details, product segment and time series information. Power BI, a leading business intelligence platform by Microsoft, enables users to create visually appealing and insightful dashboards from diverse data sources. Global The superstore’s clientele, hailing from 147 different countries, can browse through an endless offering with more than 10,000 products. The dashboard provides a comprehensive and visually appealing overview of key performance indicators (KPIs) and metrics related to the Superstore's operations, sales The Global Superstore Sales Analysis repository showcases a comprehensive Power BI dashboard that provides valuable insights into sales performance. 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. The data is truncated from the original US superstore dataset(due to capability of my laptop). - aryan98875/Employee_Attendance_Data_Analysis The Global Superstore Sales Analysis repository showcases a comprehensive Power BI dashboard that provides valuable insights into sales performance. Nov 7, 1993 · Contribute to e19931107/Power-BI_RFM-analysis-for-superstore-dataset development by creating an account on GitHub. Welcome to the Grocery Stores Analysis Power BI project! 🚀 This project is designed to unravel insights from a rich dataset, boasting multiple columns and over 10,000 rows of grocery store information. Superstore_Sales_Dataset xlxs" _can be downloaded from the above location) Orders: fact order; People: information of salesperson; Returns: information on returned orders Jun 17, 2024 · You signed in with another tab or window. The dashboard includes dynamic visualizations on segment-wise sales, payment modes, shipping modes, regional performance, and time-series analysis. Step 1: Load data into Power BI Desktop, dataset is a CSV file. Connecting Database with Power BI Desktop; Analyzing the tables and relations The data is truncated from the original US superstore dataset(due to capability of my laptop). The Descriptive Dashboard allows users to explore historical data trends with dynamic visuals that update based on the selected analysis type. This project provide a detailed report on sales transactions across branches worldwide. 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. Key insights from the superstore dataset include identifying top-performing regions, cities, and customer segments. Contribute to Raghavs34/Data-Driven-Sales-Optimization-and-Forecasting-for-Superstore-A-Power-BI-Approach 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 designed to present key information and trends to stakeholders, enabling informed decision-making. Power BI report on the superstore dataset. Saved searches Use saved searches to filter your results more quickly An Interactive Dashboard using Power Desktop on Global Superstore Dataset collected from Kaggle. 🔍 Exploratory Data Analysis (EDA) EDA was conducted to understand the data structure and uncover initial insights: Created a Sales dashboard using Power BI on basis of world superstore dataset - ayan05594/Superstore-Dashboard Developed two interactive dashboards in Power BI using the Superstore Sales dataset. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. Globalstore--Power BI Dashboard Project: Description: An interactive Power BI dashboard designed to visualize key performance metrics and trends. Applied different Visualization techniques on the dataset and used various libraries such as Plotly, etc. The visualizations provide insights into profitability by category, region, and year, and can serve as a reference for creating similar dashboards with your own data. In powerBI ther are inbuild options avaliable for applying query to the data and also ther are very nice data visualization tools. In the initial data preparation phase, we performed the following tasks: 1 Data loading and inspection. Using the Superstore dataset, the goal of this machine learning project is to perform Exploratory Data Analysis (EDA) and implement clustering techniques to gain insights into customer behavior and optimize the store's operations. - GitHub - shalusam07/Global-Superstore-Dashboard-PowerBI: Welcome to the Power BI project for the global store dataset! Power BI is a robust business analytics tool 📊 that transforms raw data into actionable insights. The analysis focuses on uncovering business-critical insights such as sales trends, regional performance, product profitability, and customer segment contributions. Interactive sales dashboard of global superstore dataset. Challenges encompass data cleansing, transformation, exploratory analysis, and crafting informative visualizations. About. Aug 9, 2024 · This Power BI report analyzes the Global Superstore dataset, providing key insights into sales, profitability, shipping, and regional performance. Dashboard Pages The analysis is structured into the following dashboard pages: Data Cleaning/Preparation. 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. It is designed to help stakeholders make informed decisions based on the data from the Global Superstore. Explore the interactive dashboards and visualizations to gain insights into the Super Store's sales performance. Nov 17, 2024 · This repository contains a data visualization project analyzing the SuperStore Sales Dataset. 🔹 Removed Unwanted Columns 🔹 Cleaned the data to handle missing values and outliers. You signed out in another tab or window. Data Import: Importing CSV files into Power BI and connecting them to create a dataset for analysis. Key Features: Dynamic visualizations, Drill-through capabilities, Slicers and filters, Data-driven insights. - lijesh010/GlobalSuperstoreSalesAnalysis This report is being built using PowerBI desktop which is an tool build by microsoft for data analysis and visualization. Step 3: Select "Column Profiling based on entire dataset" to profile all data rows. The dataset is often used by data analysts and data scientists to demonstrate data analysis, visualization, and machine learning techniques. This repository contains a comprehensive analysis of the Superstore dataset using Python in Jupyter Notebook and Power BI. File Format. 3. - sahithi064/superstore-sales-analysis-and-time-series-analysis-using-power-bi MySQL, Python and Power BI were used to analyse Superstore dataset - GitHub - makina0928/Superstore-sales-analysis: MySQL, Python and Power BI were used to analyse Superstore dataset You signed in with another tab or window. Clone the repository and open the '. 2. The Power BI dashboard demonstrates how multiple end-users can be catered for in one place. Power BI dashboards can be a helpfull tool to provide insights into sales performance and trends of an organization. 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. csv data source. Here 1) Data Cleaning was done 2) Sales Analysis on Regional Basis was done - uttamkumar49438/Global-Superstore-Dataset-in-Power-BI Nov 15, 2024 · Global Superstore Sales Data Analysis - Power BI This project performs a data analysis on a global store dataset containing sales details across various branches worldwide. This project involves creating an interactive and insightful Power BI dashboard to analyze sales, profit, and customer segments using the Superstore dataset. Sample Superstore Data Analysis using Power Bi. The main objectives of the project are to examine the sales and profit About. To help supermarkets achieve their goals for growth, efficiency, and customer satisfaction, I can assist in Contribute to Harsh-455/SUPER-STORE-SALES-FORECAST-USING-POWER-BI development by creating an account on GitHub. My aim is to provide analyses that are easy to understand, aiding in making informed decisions and driving success. The dataset used is a sample dataset provided by Superstore. To export your Power BI report, you can save it as a PDF or in PBIX format. - Puja-csm/Random The business objective of the superstore sales dashboard is to increase sales and profitability by leveraging data-driven insights. The data can be accessed via this link. - GitHub - roushan2k1/SuperStore-Sales-Dataset-Visualization-using-Power-Bi-: Utilizing advanced data analysis methodologies, with a specific focus on time series analysis, to extract meaningful insights and create precise sales dashboards, which in turn catalyze the achievement of business triumph. It is then imported into a SQL database and SQL queries are utilized to extract relevant information to derive insights from the dataset. The Global Superstore 2016 dataset encompasses data spanning from 2012 to 2015,sales of various products worldwide. Regional Sales Snapshot: West leads with 33%, Central with 22%, East with 29%, South with 16% - Targeted marketing is key. Each visualization is thoughtfully chosen to represent data in the most informative and visually engaging manner. - RAHULMYDUR/Dashboard-of-Walmart-Sales-using-Power-Bi The Superstore Dashboard using Power BI is a comprehensive and interactive data visualization tool designed to analyze and explore the Superstore dataset. Line Chart - Sales Trend Over Months: This dynamic line chart showcases the sales trajectory across various months within the dataset, enabling identification of seasonal trends or cyclical patterns. The West region emerged as the leader in total quantity sold, accounting for 32. Jul 24, 2023 · This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. Reload to refresh your session. 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. This repository showcases the Superstore Sales Analysis project, which aims to analyze and visualize the sales data of a superstore. Our main KPI's for this Dataset were that of Total Sales, Profit and Quantity. - kareemhb Leveraging time series analysis, predict future sales trends with precision. The solution involves leveraging Excel for data cleaning and converting to a CSV file. The Crafted an insightful Power BI dashboard for 'GLOBAL-SUPER-STORE-2016' by analyzing e-commerce sales data. 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. You switched accounts on another tab or window. A comprehensive Power BI dashboard utilizing the Global Superstore dataset, providing robust and dynamic data visualizations. This project was aimed to leverage the power of data visualization and analytics to take strategic initiatives for improved business outcomes. SQL queries are utilized to extract relevant information and derive insights from the dataset. 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. It contains data recorded between the 3rd of January 2014 (the first order date) and the 30th of December 2017 (the last order date). As a beginner, this approach allowed for quick access to a sample dataset without the need for extensive data collection skills. It sells a wide range of products categorized under Furniture, Office Supplies, and Technology. 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. - 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. This repository showcases the Superstore Sales Analysis project, which aims to analyze and visualize the sales data of a fictional superstore. 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. Power Bi project showcasing for global superstore dataset. 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 is used as the visualization tool to create interactive and visually appealing reports. 📂 Dataset The dataset used in this project is the Global Superstore dataset, which includes comprehensive details on sales, customers, products, and geographical regions. 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. 2 Removal of N/A values 3 Handling missing values. The report is structured into four pages, each focusing on specific aspects of the data to inform strategic business decisions. The project focuses on sales, profit, and customer metrics, with interactive insights provided through a dashboard. Superstore Profit Visualization on Power BI is a dashboard that displays an analysis of sales and profit data from the Superstore dataset using Power BI. Used Excel and Power BI to visualise a superstore dataset - PivotTables, Pivot Charts and Dashboards - SherbulMohammed/Superstore_Visualisation Oct 2, 2024 · This Power BI report offers an in-depth analysis of the Global Superstore dataset, covering three key areas:. The Superstore dataset in Power BI has been an insightful venture into the dynamic world of retail. - Itsmeseba/Power-BI--Data-Transformation A Time Series Analysis and Forecasting, using ARIMA and Prophet models, on a superstore dataset. 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. 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. pbix file in Microsoft Power BI. Contribute to hhm150456/Power-BI-Project---Superstore-Sales-report development by creating an account on GitHub. Step 2: Open Power Query Editor and in the View tab under Data Preview section, check "Column Distribution", "Column Quality", and "Column Profile" options. The project focuses on generating actionable insights to aid management in making informed decisions to improve performance and profitability. The objective was to empower small sellers with data-driven insights, facilitating informed business decisions. Jun 28, 2024 · 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. 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. Power BI is used as the visualization tool to create interactive and visually appearing reports. 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. Contribute to becca-code/Superstore development by creating an account on GitHub. The dashboard features filters, maps, and charts to explore sales trends and insights. Dax Function Used : DateAdd, AddColumns, Filter, Calculate, Switch, If,Else,All, AllExcept, AllSelected This Power BI dashboard provides an interactive visualization of sales data from the Superstore dataset. A Power BI analysis of the Superstore Sales dataset, aiming to forecast sales and uncover key business insights. : Developed a Business Intelligence (BI) Dashboard using Power BI. Dive into dynamic visualizations for sales, profit, and quantity across regions, categories, and customer segments. Open the Super Store Analysis. Explore key metrics, product performance, customer segmentation, and geographical trends effortlessly. Using data analysis methodologies, key metrics like sales, profit,& quantity have been scrutinized. pbix' file in Power BI Desktop to explore the interactive visualizations and gain valuable business insights. welcome to the power BI project for the global superstore dataset. Discover actionable insights with this Power BI dashboard on the Global Superstore dataset. The dataset is in a CSV format with 51,290 observations and 24 features. If you have a Microsoft account, you can also publish your report to Microsoft Power BI service for others to view and interact with. - SonamNath/SuperstorePowerBi This project involves the analysis and visualization of sales data from the Superstore dataset, which was imported from Kaggle. The dataset contains shipping dates, sales, profit, and other relevant data. The dataset consists of sales data from a global retail company, including information about customers, products, orders, and regions. Data Transformation: Using Power Query to clean and prepare the data. Contribute to LabeebVK/Power-BI development by creating an account on GitHub. 🔹Created a DAX Measures for cumulative totals Employee Presence % , Work From Home% and Sick Leave% etc. 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. Saved searches Use saved searches to filter your results more quickly May 29, 2024 · Contribute to melviquez/Power-BI-Superstore-Dataset development by creating an account on GitHub. Key areas of focus include: Evaluation of different shipping modes' efficiency Analysis of shipping costs and their impact on profitability Assessment of order processing times for The goal of this project is to leverage Power BI's powerful features and capabilities to analyze and visualize the Global Superstore dataset. • Optimize and increase performance to improve loading time and user experience & Export, publish, deploy, 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 manipulate data & dashaboard By leveraging the power of Power BI, the Superstore Dashboard empowers decision-makers to make data-driven decisions, improve operational efficiency, and drive business growth. Dataset stores sales information of some products of a company worldwide Includes 3 data tables:(The detailed file with the name _"1. The data, sourced from the Superstore retail transaction dataset on Kaggle, covers the period from 2014 to 2018. Applied advanced forecasting techniques like time series analysis and predictive modeling to project future sales trends and uncover insights. The dataset consists of 9994 rows, excluding the header. Design Of a Sales Dashboard using Power BI Desktop with Global Superstore Dataset - Nikh1992/Sales-Dataset Things I Have Done For Power Bi Project :- 🔹Imported the Excel Superstore dataset into Power BI. 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. This repository contains the Superstore Analytics Dashboard, a Power BI project developed using the Superstore dataset. Obtained insights will be helpful in making business decisions and planning market and advertisement strategies regarding future sales. Payment Insights: 43% prefer COD, 22% Cards, 35% Online - Tailoring payment options can enhance customer satisfaction. Detailed Power BI dashboards on Superstore dataset - GOWTHAMJEEVANANTHAM/Power-BI-on-Superstore Data visualization Using Power BI to convert superstore dataset into interactive insights - GitHub - tahersaeed/Power-BI-Superstore-Dataset-project: Data visualization Using Power BI to convert superstore dataset into interactive insights Feb 26, 2024 · Welcome to my journey through the Global Superstore dataset! Here, I delve deep into the data, extracting valuable insights and uncovering trends. This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. 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 Superstore analysis portfolio project aims to leverage sales data to optimize operations and boost profitability. Dive into the next 15 days with confidence, armed with data-driven predictions. The dashboards showcase key sales KPIs such as profit ratio, sales, customer segments, product sub-categories, and geographic analysis of discounts. It includes various visualizations to help stakeholders analyze and understand key aspects of the business. Consists of various insights regarding sales, profit,etc Resources Oct 10, 2024 · As part of the Data Science class assessment organized by PSP Analytics, I analyzed the Superstore Dataset to evaluate the performance of a superstore located in the United States. This project provide report of sales transactions, shipping trends, and market analysis . This is a detailed analysis on customer behavior analysis. You signed in with another tab or window. Through dynamic charts and graphs, uncover valuable insights into customer behavior and market trends. Product-Based Analysis; Customer-Based Analysis; Region-Based Analysis The primary objective of this POWER BI project is to gain valuable insights into Global Superstore’s performance. Leveraging advanced analytics and visualization techniques, the dashboard When you convey a covered work, you waive any legal power to forbid circumvention of technological measures to the extent such circumvention is effected by exercising rights under this License with respect to the covered work, and you disclaim any intention to limit operation or modification of the work as a means of enforcing, against the work About. Explore the code and reports to gain insights into sales performance, customer behavior, and product analysis. This project delves into the analysis of sales data from a fictional superstore, aiming to extract actionable insights crucial for informed decision-making. For this Power BI Dashboard project, the dataset was sourced from Kaggle, providing a readily available and convenient starting point. 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. Identify the KPIs (Total Sales, Total Profit, No. The dataset used for these tasks includes Superstore Dataset and Finance Dataset . Periodic Report. To ensure data accuracy and About. . 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. 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. Sample_Superstore-Power_BI Create a dashboard using DAX functions Find the % of sales between cities Create charts and visualization Use data Modeling to create relationships between Fact and Dimension tables The superstore dataset is obtained from the Tableau website; you can also find it on Kaggle via this link. This Power BI dashboard comprehensively analyses the Global Superstore dataset, offering insights into sales, profits, and other key metrics. 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 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. DATA SOURCE This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. Saved searches Use saved searches to filter your results more quickly Oct 9, 2022 · Saved searches Use saved searches to filter your results more quickly This project includes cleaning the Global Superstore dataset in Power BI and creating an interactive sales dashboard. 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. We all use the online global store for shopping , so i m very curious to Global Superstore is a global online retailer based in New York, boasting a broad product catalog and aiming to be a one-stop-shop for its customers. This project involves several stages, including ETL (Extract, Transform, Load) using Power Query, data modelling, DAX calculations, and data visualization. - GitHub - anishaman/US-Superstore-Power-BI-report: This report is created for the sales insight from recorded data in a US superstore. It include various visualizations to help stakeholders analyze and understand key aspects of the business. Jul 13, 2024 · SQL queries are utilized to extract relevant information and derive insights from the dataset. Using Power Bi to visualize the data and producing a sales Dashboard. 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. Utilizing Power BI visualization techniques, sales trends & patterns have been assessed. - spathak01/Visualizing-Superstore-Data-with-PowerBI Superstore_Analysis Superstore is a retail chain that operates across various regions in the United States. - GitHub - Jayant110/Superstore-Sales-SQL-Power-BI: This Github repository contains a US superstore dataset with customer, product, and revenue information. This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. Wrapping up. Ideal for analysis and modeling, the data is available in CSV format. The goal of this project is to leverage Power BI's powerful features and capabilities to analyze and visualize the Global Superstore dataset. Technology Used: Power BI, DAX, Markdown for documentation. Sep 30, 2024 · You signed in with another tab or window. It allows users to analyze sales performance, trends, and insights to make data-driven decisions. The Superstore dataset represents fictional sales data for a retail superstore, and the analysis aims to gain insights into various aspects of the store's performance. - ruhaina-kv/GLOBAL-SUPERSTORE--Power-BI The visualizations were crafted in Power BI and categorized into two distinct reports: Periodic Report and Location Report. We read every piece of feedback, and take your input very seriously. Analyzing the tables You signed in with another tab or window. Connect the file to the SuperStore_Sales_Dataset. of orders and Average delivery The dashboard is based on the Global Superstore Dataset, which contains a comprehensive set of data about the company's sales and operations, including information about sales by region, product category, and customer segment, as well as data on shipping costs, profits, and inventory levels. Power BI is widely used in industries to get insights from the dataset only with single clicks. 39% of the total quantity. This involves removing unnecessary columns and ensuring proper data types for accurate analysis. Its intuitive interface and interactive visualizations 📈 empower users to explore data dynamically. The outcome of this analysis will provide insights that inform strategic decisions for the continued success and refinement of the Superstore. Using python to answer business questions, clean data and get some insights and charts using matplotlib and Seaborn. pbix - PowerBI Dashboard file Global-Superstore---PowerBI-Sales-Snapshot. - BismaYB/Global-super-store-Sales-Analysis Superstore Analytics repository gives a comprehensive analysis of sales data from the Superstore dataset, providing insights into sales trends, product categories, and visualizations to aid in decision-making. Welcome to the Super Store Sales Insights Dashboard repository! This project provides a dynamic and intuitive dashboard created using Power BI, offering comprehensive insights into sales data from a fictional superstore. , also visualized the data points through PowerBI to study the Profit and Sales Analysis closely & understood the customer sales trends, which will help the supermarket Key Learnings from the Power BI Project on Superstore Sales Dashboard:-1. axtrr dwqmxr xgnjh ztizus khhlk odwhz zjeb llnqu qzwr fflfc