Superstore dataset power bi github You switched accounts on another tab or window. Oct 9, 2022 · You signed in with another tab or window. I used many visuals like Column Chart, Donut Chart, Drillthrough Donut Chart, Line Chart, Text Card, Number Card, Scrollers, Matrix, Simple Map, etc. In the initial data preparation phase, we performed the following tasks: 1 Data loading and inspection. The data is truncated from the original US superstore dataset(due to capability of my laptop). 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. 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. Power BI dashboards can be a helpfull tool to provide insights into sales performance and trends of an organization. Step 3: Select "Column Profiling based on entire dataset" to profile all data rows. The insights support data-driven decisions to boost business performance. The visualizations and analysis derived from the report will enable data-driven decision-making and aid in identifying areas for improvement and growth opportunities. Applied different Visualization techniques on the dataset and used various libraries such as Plotly, etc. Connecting Database with Power BI Desktop; Analyzing the tables and relations Sample Superstore Data Analysis using Power Bi. 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. Periodic Report. A Time Series Analysis and Forecasting, using ARIMA and Prophet models, on a superstore dataset. Connect the file to the SuperStore_Sales_Dataset. 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. Feb 3, 2024 · Superstore Dataset Using Power Bi. Contribute to becca-code/Superstore development by creating an account on GitHub. The main objectives of the project are to examine the sales and profit A comprehensive Power BI dashboard utilizing the Global Superstore dataset, providing robust and dynamic data visualizations. 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. Data Cleaning/Preparation. The dashboard features insightful visualizations and analytics focused on sal This project delves into the analysis of sales data from a fictional superstore, aiming to extract actionable insights crucial for informed decision-making. csv data source. - ruhaina-kv/GLOBAL-SUPERSTORE--Power-BI The data is truncated from the original US superstore dataset(due to capability of my laptop). Step 2 : Data Analysis: Explored and analyzed the data to understand patterns and trends. The dataset used is a sample dataset provided by Superstore. It includes various visualizations to help stakeholders analyze and understand key aspects of the business. Dax Function Used : DateAdd, AddColumns, Filter, Calculate, Switch, If,Else,All, AllExcept, AllSelected The visualizations were crafted in Power BI and categorized into two distinct reports: Periodic Report and Location Report. 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. It allows users to analyze sales performance, trends, and insights to make data-driven decisions. Discover actionable insights with this Power BI dashboard on the Global Superstore dataset. Contribute to LabeebVK/Power-BI 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. It include various visualizations to help stakeholders analyze and understand key aspects of the business. Analyzing the tables 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. 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's users, your or third parties' legal rights to 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. - hshariq/Global-Superstore-2016-Power-BI This Power BI project analyzes the Sample Superstore dataset, offering descriptive and prescriptive insights through two interactive dashboards. of orders and Average delivery Aug 9, 2024 · This Power BI report analyzes the Global Superstore dataset, providing key insights into sales, profitability, shipping, and regional 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. It provides insights into key performance indicators (KPIs), sales trends, customer demographics, and product performance to help stakeholders make informed decisions. The data, sourced from the Superstore retail transaction dataset on Kaggle, covers the period from 2014 to 2018. Using Power Query in Power BI and Excel, I cleaned raw data, calculated metrics, and designed dashboards. 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. 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. - SonamNath/SuperstorePowerBi This project involves the analysis and visualization of sales data from the Superstore dataset, which was imported from Kaggle. This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. . Global The superstore’s clientele, hailing from 147 different countries, can browse through an endless offering with more than 10,000 products. Reload to refresh your session. An Interactive Dashboard using Power Desktop on Global Superstore Dataset collected from Kaggle. 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. Key Learnings from the Power BI Project on Superstore Sales Dashboard:- 1. 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. The repository hosts all the necessary files and resources to reproduce the analysis and visualize the findings through an interactive 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. Explore the interactive dashboards and visualizations to gain insights into the Super Store's sales performance. The welcome to the power BI project for the global superstore dataset. 2 Removal of N/A values 3 Handling missing values. 📝 A comprehensive Power BI dashboard utilizing the Global Superstore dataset, providing robust and dynamic data visualizations. Saved searches Use saved searches to filter your results more quickly 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. This repository contains a comprehensive analysis of the Superstore dataset using Python in Jupyter Notebook and Power BI. Resources This guide uses a superstore dataset, containing sales records, profits, shipping details, and customer information, to demonstrate how to build a powerful dashboard. : Developed a Business Intelligence (BI) Dashboard using Power BI. - GitHub - anishaman/US-Superstore-Power-BI-report: This report is created for the sales insight from recorded data in a US superstore. Global-Superstore---PowerBI-Sales-Dashboard. Download the project files from the GitHub repository. You signed in with another tab or window. 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. The Power BI dashboard demonstrates how multiple end-users can be catered for in one place. It is designed to help stakeholders make informed decisions based on the data from the Global Superstore. 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. 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 dashboard presents detailed insights into business performance metrics, allowing for informed strategic decision-making. 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. Features It offers multiple interesting dimensions to explore like order priority, product category, ship mode, location details, product segment and time series information. About. Step 1 : Data Import: Loaded 'Orders,' 'Returns,' and 'People' tables into Power BI Desktop. pbix - PowerBI Dashboard file Global-Superstore---PowerBI-Sales-Snapshot. The Superstore dataset in Power BI has been an insightful venture into the dynamic world of retail. 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. 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. Our main KPI's for this Dataset were that of Total Sales, Profit and Quantity. We read every piece of feedback, and take your input very seriously. You signed out in another tab or window. 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. Power Bi project showcasing for global superstore dataset. By following a structured approach to data loading, transformation, and visualisation, you can generate meaningful insights that drive informed decision-making. Power BI is used as the visualization tool to create interactive and visually appealing reports. It include various visualization helps to stakehol 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. Open the Super Store Analysis. This project provides an end-to-end experience, from data Super Store Sales Analysis with Power BI. Jul 24, 2023 · This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. 2. The dataset is in a CSV format with 51,290 observations and 24 features. pbix file in Microsoft Power BI. This project provide a detailed report on sales transactions across branches worldwide. Users can The Amazon Superstore Report based on the Global Superstore dataset will provide valuable insights into the business operations, sales performance, and market trends. Leveraging the power of Microsoft Power BI, we have created a dynamic dashboard that This repository contains the Superstore Analytics Dashboard, a Power BI project developed using the Superstore dataset. Our approach employs Python Payment Insights: 43% prefer COD, 22% Cards, 35% Online - Tailoring payment options can enhance customer satisfaction. The dashboard features insightful visualizations and analytics focused on sal This repository contains the Superstore Analytics Dashboard, a Power BI project developed using the Superstore dataset. Data Transformation: Using Power Query to clean and prepare the data. It should also provide 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? Data Source: I have utilized the publicly available Sample Superstore dataset, which provides a rich set of sales-related data. The report is structured into four pages, each focusing on specific aspects of the data to inform strategic business decisions. Regional Sales Snapshot: West leads with 33%, Central with 22%, East with 29%, South with 16% - Targeted marketing is key. Explore the code and reports to gain insights into sales performance, customer behavior, and product analysis. png - PowerBI Dashboard snapshot/screen capture The dashboard is published at the following link on Microsoft PowerBI Workspace: The superstore Sales Dashboard is a Power BI project designed to analyze and visualize sales data for a selling business. 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 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. We all use the online global store for shopping , so i m very curious to This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. Dive into dynamic visualizations for sales, profit, and quantity across regions, categories, and customer segments. From filters and slicers to various visualizations, calculated columns, and measures, this dashboard offers valuable insights into the sales performance of the Superstore. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. Step 1: Load data into Power BI Desktop, dataset is a CSV file. This repository showcases the Superstore Sales Analysis project, which aims to analyze and visualize the sales data of a superstore. 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. Jul 13, 2024 · SQL queries are utilized to extract relevant information and derive insights from the dataset. Step 3 : Data Cleaning: Removed null columns and unwanted rows to ensure data accuracy. 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 Power BI dashboard provides an interactive visualization of sales data from the Superstore dataset. Data Import: Importing CSV files into Power BI and connecting them to create a dataset for analysis. - RAHULMYDUR/Dashboard-of-Walmart-Sales-using-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. This is a detailed analysis on customer behavior analysis. This repository showcases the Superstore Sales Analysis project, which aims to analyze and visualize the sales data of a fictional superstore. This project provide report of sales transactions, shipping trends, and market analysis . The dataset is often used by data analysts and data scientists to demonstrate data analysis, visualization, and machine learning techniques. , also visualized the data points through PowerBI to study the Profit and Sales Analysis closely & understood the This project analyzes superstore sales and profit data to identify trends across regions, categories, and segments. This Power BI dashboard comprehensively analyses the Global Superstore dataset, offering insights into sales, profits, and other key metrics. The Descriptive Dashboard allows users to explore historical data trends with dynamic visuals that update based on the selected analysis type. Identify the KPIs (Total Sales, Total Profit, No. The data can be accessed via this link. Challenges encompass data cleansing, transformation, exploratory analysis, and crafting informative visualizations. The dashboard includes dynamic visualizations on segment-wise sales, payment modes, shipping modes, regional performance, and time-series analysis. aezj djkh uyrqio qpgebvp pfsb jxd jvt srjbyf hre avslr
Superstore dataset power bi github. Connect the file to the SuperStore_Sales_Dataset.
