Superstore dataset power bi github. You signed out in another tab or window.

Superstore dataset power bi github Navigation Menu Toggle navigation . - kareemhb Global Super Store is a data set which has around 50000 values. screenshot GitHub community articles Repositories. Developed an interactive dashboard and applied time ser Skip to content. The Superstore dataset represents fictional sales data for a retail superstore, and the analysis aims to gain insights into various aspects of Download Power BI Sample Data Set for practice purpose, Power BI SuperStore, Map & Time Series Data Set excel sheet are available. Instant dev environments Copilot. Sign in Product GitHub Copilot. You switched accounts on another tab Data Integration: Connected the dataset with Power BI Desktop, ensuring seamless integration for efficient analysis. SQL Server. Power BI. As a beginner, this approach allowed for quick access to a sample dataset without the need for extensive data collection skills. This project provide report of sales transactions, shipping trends, and market analysis . Using Global Superstore dataset with 5-year data from operational systems, the project is to design a data model using Dimensional Modelling and Bus Matrix Architecture. Create Dashboard 4. The Superstore Sales Dashboard is a comprehensive data analysis project created using Power BI. 6M - An This Power BI project takes you on a journey through the grocery store data, revealing key insights and trends. Using data analysis methodologies, key metrics like sales, profit,& quantity have been scrutinized. Understand the characteristics and distribution of the data. It encompasses data import, cleaning, interactive dashboard creation, and sales forecasting from an Excel data source. This project involves the analysis and visualization of sales data from the Superstore dataset, which was imported from Kaggle. - Super_Store_Sales 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. Data Analysis: Analyzed tables and established meaningful relationships to This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. Using python to answer business questions, clean data and get some insights and charts using matplotlib and Seaborn. You signed in with another tab or window. sales jupyter-notebook data-analysis superstore Updated Apr 18, 2021; Jupyter Notebook; akankshakusf / Power-BI_Super-Store-Dashboard Star 1. Contribute to hhm150456/Power-BI-Project---Superstore-Sales-report development by creating an account on GitHub. The interactive map highlights geographic sales distribution, while slicers enable targeted time period & KPI selection for data Reports created using Power BI on superstore data. Its a customer centric data set , which has the data of all the orders that have been placed through different vendors and markets , Unlocking valuable insights from Global Superstore data with Power BI, this analysis dives deep into sales, returns, and customer data for informed decision-making. The dataset consists of three sheets Contribute to SVNjl/SuperStore-Sales-Power-BI development by creating an account on GitHub. The project This repository features a Power BI dashboard utilizing time series analysis for sales forecasting. We can make custom visualizations by adding columns and measures using DAX. This project is designed to present key information and trends to stakeholders, enabling informed decision-making. Find and fix vulnerabilities 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. From data warehouse, SSAS and Power BI have been deployed to build different cubes and answer OLAP queries for business Thrilled to contribute to organizational growth by unlocking the potential of data-driven insights with Power BI. 1. Also . Data Cleaning/Preparation. Step 1: Load data into Power BI Desktop, dataset is a CSV file. Find and fix Global Super Store is a data set which has around 50000 values. The repository contains the following components: Python scripts for data cleaning and transformation of the Excel dataset. Data Cleaning: Conducted thorough data cleaning using Power Query Editor, ensuring data accuracy and consistency. DAX (Data Analysis Expressions): For calculated columns, measures, and KPIs. Key Features: Dynamic visualizations, Drill-through capabilities, Slicers and filters, Data-driven insights. Dataset 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. pbix: Repository Link This GitHub repository houses a collection of Power BI visualizations designed to analyze sales data for Global Superstore. How did the Superstore’s sales performance vary on a monthly basis? Were there any notable trends? Which customer segments made the This visualization project aims to analyze a fictitious superstore’s sales performance between 2016 and 2019 using Microsoft Power BI. - MahmoudHzn/SuperStore-Sales-Analysis-With-Power-bi The Global Superstore 2016 dataset encompasses data spanning from 2012 to 2015,sales of various products worldwide. 2. Data Transformation: Using Power Query to clean and 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 For the creation of this dashboard, I used Power BI. We meticulously designed a data warehouse schema, established relationships among tables, This project analyzes global superstore sales data using Power BI to uncover insights into sales performance, product profitability, and regional trends. Integrated data, created interactive visualizations, and enabled dynamic exploration. Explore the Contribute to LabeebVK/Power-BI development by creating an account on GitHub. Write better code This project's data was obtained from the Kaggle SuperStore Sales Forecasting Competition and it encompasses sales transactions from three SuperStore branches situated in Mandalay, This project includes cleaning the Global Superstore dataset in Power BI and creating an interactive sales dashboard. This project is designed to This Power BI dashboard provides an interactive visualization of sales data from the Superstore dataset. This repository contains a Power BI dashboard developed to provide insights into SuperStore sales trends, customer segmentation, and regional performance. Write better code with AI The Superstore Dashboard using Power BI is a comprehensive and interactive data visualization tool designed to analyze and explore the Superstore dataset. Power BI Visualization. Welcome to the Superstore Sales Dashboard repository! This Power BI project offers a comprehensive visual representation of sales data from a fictional superstore. Please refer to the README. Integrated custom visuals based on business requirements using Power BI Desktop. Developed real-time Sales dashboards using data from Orders, People, and Return Orders. The Global Superstore Sales Analysis repository showcases a comprehensive Power BI dashboard that provides valuable insights into sales performance. The goal of this project is to analyze and answer the following business questions to aid in making intelligent business decisions; In this repository I have my superstore sales analysis dashboard of kaggle. Clean the dataset by addressing these issues to ensure data quality. In this Data Analysis project, we’ll analyze a global SuperStore raw sales data and draw meaningful insights. The dashboard provides a comprehensive and visually appealing overview of key performance indicators (KPIs) and metrics related to the Superstore's operations, sales, and customer 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. Best-Selling Category: Office Supplies - Exploring similar products promises growth. Write better code with AI Power BI Dashboard for Global Superstore Data. Once the file is open, you can interact This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. - Rakesh-Dataanalyst/Power Skip to content. Contribute to ajeyvishnu/Global_Superstore_Dashboard development by creating an account on GitHub. To use this project, you can download or clone the repository and open the Superstore_Dataset. Overall, this report provides a comprehensive analysis of Superstore's sales and profit data, incorporating customer segmentation Payment Insights: 43% prefer COD, 22% Cards, 35% Online - Tailoring payment options can enhance customer satisfaction. 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 Skip to content Navigation Menu 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. xlsx at main I used many visuals like Column Chart, Donut Chart, Drillthrough Donut Chart, Line Chart, Text Card, Number Card, Scrollers, Matrix, Simple Map, etc. Find and fix Using python to answer business questions, clean data and get some insights and charts using matplotlib and Seaborn. Regional Sales Snapshot: West leads with 33%, Central with 22%, East with 29%, South with 16% - Targeted marketing is key. Implemented various visualizations including bar charts, pie charts, maps, slicers You signed in with another tab or window. Navigation Menu 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 You signed in with another tab or window. Power Query M Functions. The report is structured into four pages, each foc Contribute to arpitag1/Power-BI development by creating an account on GitHub. pbix) containing the interactive reports with three pages: sales performance, customer analysis, and product analysis. Home. All operations were meticulously executed using Power BI. - Power BI Docs. The main objectives of the project are to examine the sales and profit performance of Superstore and to identify different customer segments based on their purchasing behavior. Standardizing data formats and ensuring consistency. Explore key metrics, product performance, customer segmentation, and Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Dataset GitHub - hshariq/Global-Superstore-2016-Power-BI: The dataset is a Global Superstore dataset based on sales and was found on Kaggle. Automate any workflow Security. Sales Forecasting 6. Automate any workflow Packages. Instant dev environments For this Power BI Dashboard project, the dataset was sourced from Kaggle, providing a readily available and convenient starting point. Step 2: Open Power Query Editor and in the View tab under Data Preview section, check "Column Distribution", "Column Quality", and "Column Profile" options. - SonamNath/SuperstorePowerBi Contribute to SabinaSad/Global-Superstore-Data-Analysis-with-Power-BI development by creating an account on GitHub. Developing compelling and interactive analysis Analysis of the Global Superstore dataset using Power BI. This is a repository for a project on visualizing sales data of a superstore using Power BI. Incorporated Data Analysis techniques, specializing in time series analysis, to deliver valuable insights, accurate sales forecasting and interactive dashboard creation, driving business success. Product : It contains Product information and Order id details. Total Revenue: $1. Contribute to becca-code/Superstore development by creating an account on GitHub. You switched accounts on another tab or window. Delving into the heart of sales transactions, it reveals a captivating story of changing preferences, evolving market trends, and the ever-shifting landscape of customer desires SQL queries are utilized to extract relevant information and derive insights from the dataset. pbix file in Microsoft Power BI. 2 Removal of N/A values 3 Handling missing values. The objective was to empower small sellers with data-driven insights, facilitating informed business decisions. Power BI project analyzing the Global Superstore dataset, focusing on sales, customer demographics, and product performance. This project demonstrates my proficiency in data analytics, visualization, and forecasting, showcasing how data-driven insights can drive informed Superstore Sales Dashboard - Power BI. 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. Superstore_Sales_Dataset xlxs" _can be The Global Superstore Sales Analysis repository showcases a comprehensive Power BI dashboard that provides valuable insights into sales performance. Open the Super Store Analysis. It offers multiple interesting dimensions to explore like order priority, product category, ship mode, location A comprehensive Power BI dashboard utilizing the Global Superstore dataset, providing robust and dynamic data visualizations. Leveraging time series analysis, predict future sales trends with precision. Power BI project file (. 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 s Skip to content Key Learnings from the Power BI Project on Superstore Sales Dashboard:-Data Import: Importing CSV files into Power BI and connecting them to create a dataset for analysis. Power BI is used as the visualization tool to create interactive and visually appealing reports. The data, sourced from the Superstore retail transaction dataset on Kaggle, covers the period from 2014 to 2018. The insights derived empower the company to make data-driven decisions to improve operational efficiency, boost profitability, and refine their business strategies. 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. Contribute to SVNjl/SuperStore-Sales-Power-BI development by creating an account on GitHub. This project involves the development of two interactive dashboards using Power BI to analyze the sales and profit performance of a US superstore. In this project, we analyze and visualize the sales data of a superstore to gain insights and make data-driven decisions. Developing compelling and interactive analysis reports,dashboards for super store sales analytics. By dissecting data across multiple dimensions such as sub-category, country, region, Dataset was loaded into Power BI , Data was tranformed and loaded in Power Query editor. Host Contribute to ijatinsingh/superstore-data-analysis-on-power-bi development by creating an account on GitHub. 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. DAX Query & Data Analysis 5. Row ID is Key for Product and Sales data; Sales : It contains Sales figures (Profit and sales value) details. Data Collection The 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. Contribute to Abhishekjl/PowerBi-Sales-Analysis development by creating an account on GitHub. First insights and observations. This dataset offers a treasure trove of insights into consumer behavior and product performance within the Superstore retail chain during the period of 2019-2020. Data Integration: Connected the dataset with Power BI Desktop, ensuring seamless integration for efficient analysis. - BismaYB/Global-super-store-Sales-Analysis This project's data was obtained from the Kaggle SuperStore Sales Forecasting Competition and it encompasses sales transactions from three SuperStore branches situated in Mandalay, Yangon, and Naypyitaw, respectively. PowerBI Sales Dashboard for Global superstore dataset. - MahmoudHzn/SuperStore-Sales-Analysis-With-Power-bi • Power BI • Excel • Power Query • DAX. Cleaned the data using DAX and basic transformation Contribute to VHP2305/Superstore-Sales-Data-Analysis-BY-Tableau-Power-BI development by creating an account on GitHub. The visualizations provide insights into sales patterns at various geographic levels and delve into shipping cost trends. Contribute to VHP2305/Superstore-Sales-Data-Analysis-BY-Tableau-Power-BI development by creating an account on GitHub. The project utilizes Discover actionable insights with this Power BI dashboard on the Global Superstore dataset. Download Power BI Sample Data Set for practice purpose, Power BI SuperStore, Map & Time Series Data Set excel sheet are available. Its a customer centric data set , which has the data of all the orders that have been placed through different vendors and markets , You signed in with another tab or window. • Power BI • Excel • Power Query • DAX. This project focuses on identifying profitable and unprofitable products and regions, assessing shipping costs and discounts, and generating actionable insights for management. Code Issues Pull Individual project leveraging Kaggle data for exploratory data analysis (EDA) and data modeling. Discover the dataset. Visualizations and insights are included to aid decision-making. I have developed a demo Power BI dashboard using the "global_superstore_2016" dataset, sourced from the internet. Validation of each coloumn Data Type's; Removing Unnecessary Row's and Column's; Created custom column using M code in power query; Created Date table using M code. Navigation Menu. Topics Trending Jupyter Notebook for Superstore Sales Data Analysis. The dashboard is built using the Superstore sales dataset. - par Data Sources. Find and fix vulnerabilities Actions. 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 data is truncated from the original US superstore dataset(due to capability of my laptop). Contribute to shivamxsingh/Superstore-Sales-Data-Analysis-Power-BI-Project development by creating an account on GitHub. 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. Data Analytics_Power BI. This Power BI project is designed to provide a comprehensive analysis of a global superstore's sales data, utilizing Power BI's robust suite of tools including Power Query for data transformation, and a variety of visualizations to uncover insights into sales performance, profit ratios, and market trends. - AmishaSharma30 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. The data was cleaned by promoting headers, correcting data Contribute to arpitag1/Power-BI development by creating an account on GitHub. - -Power-BI-Dashboard-for-Sales-Forecasting-and-Data-Analysis Power BI dashboard template for the Sample - Superstore dataset, providing insights into sales performance. Find and fix vulnerabilities Visualizing Superstore Sales Data using Power BI. Once the file is open, you can interact with the visualizations and analyze the sales data of the superstore. From data warehouse, SSAS and Power BI have been deployed to build different cubes and answer OLAP queries for business An analysis of sales data of a global superstore For this project, I utilized Power BI in analyzing and visualizing 4 years record of a retail dataset for a global superstore brand using Power BI. Validation of each coloumn Data Type's; Removing Unnecessary Row's and Column's; The project aims to understand the superstore sales data and to provide insights based on the data by using Power BI Desktop. 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. • 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 & used measure/calculation, filter/slicers A repository containing a Power BI project leveraging the "global_superstore_2016" dataset, showcasing visualizations and insights derived from the data for global sales analysis and forecasting. Explore the code and reports to gain insights into sales performance, customer behavior, and product analysis. Step 3: Select "Column Profiling based on entire dataset" to SQL queries are utilized to extract relevant information and derive insights from the dataset. Feel free to navigate the dashboard and discover more about the performance of grocery stores. Identifying and handling missing data, duplicates, and outliers. This project provides an end-to-end experience, from data import and cleaning to advanced dashboarding and 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. File Format. We have the column order date and ship date in the given dataset. Skip to content. This involves removing unnecessary columns and ensuring proper data types for accurate analysis. Explore key metrics, product performance, customer segmentation, and geographical trends effortlessly. pbix file using Power BI Desktop. - SwoopGT/Global-Superstore---PowerBI-Sales-Dashboard. - GitHub - anishaman/US-Superstore-Power-BI-report: This report is created for the sales insight from recorded data in a US superstore. Applied different Visualization techniques on the dataset and used various libraries such as Plotly, etc. Plan and track work Code Review. Visualizing Superstore Sales Data using Power BI. Import and Clean data. Ensure you have Power BI Desktop installed on your machine. Applied advanced forecasting techniques like time series analysis and predictive modeling to project future sales trends and uncover insights. 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. Interview Q & A. Dynamic Exploration: Enabled dynamic filtering and slicers, allowing Power BI report on the superstore dataset. 🌟 Dashboard Insights. - kareemhb You signed in with another tab or window. 1 Dashboard Creation: Identify the KPI''s ,design an intuition and visually appealing dashboard, add interactive visualizations and filtering allow users to explore the data at various levels of granularity. Create Table Using DAX 7. 3. Skip to content Power BI Docs. Connect the file to the SuperStore_Sales_Dataset. The dashboard presents detailed insights into business performance metrics, allowing for informed strategic decision-making. Code Issues Pull Analyzed Superstore sales data using Power BI to uncover key insights, including sales trends, shipping preferences, and product performance. 2 Data Analysis: Provide valuable insights to business entities regarding the effectiveness of their sales strategies Key Learnings from the Power BI Project on Superstore Sales Dashboard:-Data Import: Importing CSV files into Power BI and connecting them to create a dataset for analysis. We can make Sheet Details. Sales Analysis: Monthly and yearly sales trends to identify peak seasons This GitHub repository houses a collection of Power BI visualizations designed to analyze sales data for Global Superstore. Host and manage SuperStore-Sales. Managing data This Power BI report offers an in-depth analysis of the Global Superstore dataset, covering three key areas:. Employed DAX to transform and process data, ensuring data accuracy and calculating average delivery times and order counts. Microsoft Azure. . The goal is to help power bi project 1- global superstore data. Each visualization is thoughtfully chosen to represent data in the most informative and visually engaging manner. Leverage the interactive features to explore regional trends, customer behaviors, and profitability analytics. Power Bi project showcasing for global superstore dataset. Navigation Menu Contribute to e19931107/Power-BI_RFM-analysis-for-superstore-dataset development by creating an account on GitHub. The dataset consists of sales data from a US based retail company, including information about customers, products, orders, and regions This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. This are the steps I took to before the data visualization. Create a dashboard, do a Show and Tell at the end of the Sprint; Create a power point presentation to present the Developed Power BI dashboard analyzing sample superstore profit report across years. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. T Packages. 6. The following sales performance analysis will follow the 6 steps of Data Analysis which are: Goals, Prepare, Process, Analyse, Visualize and Act. Sign in Product Actions. The primary goal is to gain insights into the sales performance of the Superstore and create an interactive Power BI dashboard for business stakeholders. The following steps were considered while doing this project 1. Dataset Superstore Sales Dashboard This Power BI dashboard provides an in-depth analysis of a retail superstore's sales performance, including category insights, regional 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 Contribute to Raghavs34/Data-Driven-Sales-Optimization-and-Forecasting-for-Superstore-A-Power-BI-Approach development by creating an account on GitHub. Instant dev environments Issues. Manage code changes The superstore Sales Dashboard is a Power BI project designed to analyze and visualize sales data for a selling business. Instant dev environments GitHub Copilot. The dashboard visualizes essential metrics like sales by category, monthly profit trends, and shipping preferences, enabling stakeholders to make data-driven decisions to drive business growth. Find and fix vulnerabilities Codespaces. Project Insights Unlocking valuable insights from Global Superstore data with Power BI, this analysis dives deep into sales, returns, and customer data for informed decision-making. Description The project encompasses several critical components: This project focuses on analyzing and visualizing the Superstore Sales Data using Power BI to derive actionable business insights. - Superstore-Sales-Analysis-Using-Power-BI-and-SQL You signed in with another tab or window. Host and manage packages Security. Design Of a Sales Dashboard using Power BI Desktop with Global Superstore Dataset - Nikh1992/Sales-Dataset. Installation. Host and manage packages In the era of data-driven decision-making, utilizing advanced analytics tools is crucial for understanding business performance and customer behavior. GitHub community articles Repositories. 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, state, region, and 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. Handle missing values, outliers, and any data inconsistencies. A detailed data analysis report will be added soon, offering deeper insights into the methodologies and findings. Superstore Sales Analysis with Power BI This project leverages Power BI to analyze and visualize the sales, profitability, and returns of a fictional Superstore. Explore the Our mission encompassed key tasks, including initial data retrieval, preprocessing, and cleansing. Analyzing the tables The dataset used is a sample dataset provided by Superstore. You switched accounts Contribute to mdabdullah323/Superstore_Data_analysis_Power_BI development by creating an account on GitHub. Connected and analyzed databases through Power BI Desktop, establishing relationships between tables. Contribute to LabeebVK/Power-BI development by creating an account on GitHub. The data contains 17 columns and 1000 rows: Data Integration: Connected the dataset with Power BI Desktop, ensuring seamless integration for efficient analysis. Data Analysis: Analyzed tables and established meaningful relationships to uncover insights and correlations within the dataset. Explore the interactive dashboards and visualizations to gain Welcome to the Global Superstore Sales Analysis GitHub repository! This project focuses on utilizing Power BI visualizations to analyze the sales data of Global Superstore, a store with branches worldwide. Sign in Product This project features an interactive Power BI dashboard built on the Super Store dataset, providing insights into sales trends, customer preferences, and business 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 While creating reports in Power BI, sometimes we need more creative designs to visualize the data in the most effective way. This repository showcases the Superstore Sales Analysis project, which aims to analyze and visualize the sales data of a superstore. 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. Detailed Power BI dashboards on Superstore dataset - GOWTHAMJEEVANANTHAM/Power-BI-on-Superstore 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. csv data source. Sample Superstore Dashboard - Ogunbod/Superstore-Analysis. Sign in You signed in with another tab or window. Toggle navigation. Contribute to Kpadhiyar/Superstore-Data-Analysis-with-Power-BI development by creating an account on GitHub. Ask the good questions, find the This project provides a dynamic and intuitive dashboard created using Power BI, offering comprehensive insights into sales data from a fictional superstore. Developed a Power BI dashboard to analyze sales revenue and net profit. This project was aimed to leverage the power of data visualization and analytics to take strategic initiatives for improved business outcomes. AYN superstore is located in the United States of America TLDR : We use Power BI to do a quick analysis of a sample dataset. The chosen dataset is the Sample SuperStore dataset, offering a diverse set of sales-related information for analysis. Contribute to arpitag1/Power-BI development by creating an account on GitHub. Power BI Docs. Then, conducting five ETL workflow on SSMS to transfer data to data warehouse. - SwoopGT/Global-Superstore---PowerBI-Sales Conclusion This Power BI project successfully transformed raw data into an actionable and visually engaging dashboard. Superstore Dataset Using Power Bi. Cleaned and transformed data using Power Query Editor with DAX functions. It provides insights into key performance indicators (KPIs), sales trends, customer demographics, and product performance The goal of this project is to leverage Power BI's powerful features and capabilities to analyze and visualize the US Superstore dataset. and the I create a dashboard - GitHub Contribute to Dhiraj832/VOIS-Data-Analytics-And-Power-BI development by creating an account on GitHub. : Developed a Business Intelligence (BI) Dashboard using Power BI. Import and Clean Data 3. - Puja-csm/Random Contribute to varadkadtan/Global_superstore_data_analysis_Power-Bi development by creating an account on GitHub. A repository containing a Power BI project leveraging the "global_superstore_2016" dataset, showcasing visualizations and insights derived from the data for global sales analysis and fore Integrated Data Sources: Combined sales data from multiple origins, including sales transactions and customer feedback surveys, using Power BI. Analysing the Global Superstore 2016 dataset, including steps like data cleaning, data preparation and finally visualising the data using various charts and graphs using interactive PowerBI dashboa Skip to content. Dataset Overview 2. It features an interactive dashboard, a robust data model, and actionable insights into sales performance, regional trends, and customer behavior. , also visualized the data points through PowerBI to study the Profit and Sales Analysis closely Key Learnings from the Power BI Project on Superstore Sales Dashboard:- 1. Write better code with AI Security. Dive into dynamic visualizations for sales, profit, and quantity across regions, categories, and customer segments. - lijesh010/GlobalSuperstoreSalesAnalysis You signed in with another tab or window. This repository aims towards the task of the Project of the Internship, where we brainstorm the SuperStore Sales dataset. Automate any workflow 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. Data Import: Importing CSV files into Power BI and connecting them to create a dataset for analysis. This repository showcases the Superstore Sales Analysis project, which aims to analyze and visualize the sales data of a fictional superstore. Navigation Menu Toggle navigation. Re 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. Using Power Bi to visualize the data and producing a sales Dashboard. Here, we discuss what to do in such scenarios. of order_id: IDs of all orders order_date: Dates for all orders ship_date: Shipping date of all orders ship_mode: Shipping mode of all orders customer_name: Customer names of all order IDs segment: Segment of all orders state: State of the order ID country: Country of the order ID market: Market of the order ID region: Region of the order ID product_id: Product ID of all orders Our mission encompassed key tasks, including initial data retrieval, preprocessing, and cleansing. Data Sources: Superstore Sales dataset (can be replaced with your organization's data). Write Sample Superstore Data Analysis using Power Bi. Utilizing Power BI visualization techniques, sales trends & patterns have been assessed. - Mohammedbashirsulima/Superstore-Dashboard Contribute to Riteshpatel43/Power_Bi_Sales_Dashboard development by creating an account on GitHub. The project demonstrates proficiency in data cleaning, SQL querying, and data visualization using Power BI After performing the analysis with SQL, I connected Power BI Desktop to the Marketdata database and imported all the required tables into Power BI for visualization purposes. Through dynamic charts and graphs, uncover Contribute to Kpadhiyar/Superstore-Data-Analysis-with-Power-BI development by creating an account on GitHub. Build interactive dashboard to track and analyze, Superstore sales data by using Microsoft Power BI. But we need another column About. Clone or download the repository to your local machine. The project utilizes a combination of Python, SQL, and Power BI to clean the data, perform exploratory analysis, and create interactive reports. My analysis was carried with Excel, SQL and finally Power BI. The dataset contains historical sales data including product details, sales amounts, dates, and many more. The primary objective was to clean, transform, and analyze the data to create an interactive dashboard that highlights key performance indicators and sales trends across different regions. Here I perform the operations like Data cleaning using Power Query Editor and data visualization using the business intellegence tool Power BI and create dashboards that gives us the detailed insights of the data and helps in making data driven business decisions. The visualizations were crafted in Power BI and categorized into two distinct reports: Periodic Report and Location Report. - GitHub - roushan2k1/SuperStore-Sales-Dataset-Visualization-using-Power-Bi-: Utilizing advanced data analysis methodologies, with a specific focus on time The project aims to understand the superstore sales data and to provide insights based on the data by using Power BI Desktop. Reload to refresh your session. Periodic Report. This Power BI report analyzes the Global Superstore dataset, providing key insights into sales, profitability, shipping, and regional performance. Utilized machine learning techniques and Power BI for analysis, culminating in a detailed report. SQL dump file for importing the transformed data into a SQL database. Technology Used: Power BI, DAX, Markdown for documentation. 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. - Global-Superstore-Power-BI-Sales-Visualization-Project/data set Global Superstore. The data is truncated from the original US superstore dataset(due to capability of my laptop). Navigation Dataset stores sales information of some products of a company worldwide Includes 3 data tables:(The detailed file with the name _"1. Created using Power BI, this project employs advanced analytics to drive business decisions. The repository contains a collection of visualizations that provide insights into sales patterns at various geographic levels and delve into 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 deci Skip to content. Leveraging advanced analytics and visualization techniques, the dashboard provides a comprehensive overview of online sales data. Write better code with AI You signed in with another tab or window. Excel will serve as first repository for our data, SQL will give meaning to our data and Power BI will give a clear face to our data. Offered valuable technical insights into sales revenue, categorizing products by category and sub-category Contribute to Dhiraj832/VOIS-Data-Analytics-And-Power-BI development by creating an account on GitHub. In the initial data preparation phase, we performed the following tasks: 1 Data loading and inspection. Quiz . Data Analysis: Analyzed tables and established meaningful relationships to Dataset was loaded into Power BI , Data was tranformed and loaded in Power Query editor. Write better code with AI This dashboard provides deep insights into sales trends, product performance, and customer behavior using the Global Superstore dataset. By leveraging Power BI's data transformation and visualization capabilities, these dashboards provide insights into key This repository contains a comprehensive analysis of the Superstore dataset using Python in Jupyter Notebook and Power BI. It include various visualization helps to stakehol Crafted an insightful Power BI dashboard for 'GLOBAL-SUPER-STORE-2016' by analyzing e-commerce sales data. Utilizing Power BI, this project delves into various aspects such as overall performance, category/sub-category analysis, sales trends, profitability, return analysis, regional GitHub - viraj-gholap/Superstore-Sales-Dashboard-PowerBI: Superstore Sales Dashboard This Power BI dashboard provides an in-depth analysis of a retail superstore's sales performance, including category insights, regional 🔧 Tools & Technologies Used Power BI: For creating the dashboard and forecast. This analysis focuses on a local store's e-commerce data, leveraging Power BI to uncover insights that drive strategic decisions. You signed out in another tab or window. Contribute to Aysharahna/global-superstore-data-visualization-power-bi-project-1 development by creating an account on GitHub. It delivers valuable insights and precise sales forecasting to inform strategic decision-making. We all use the A Sample Superstore Dashboard created using Power BI analyzing Sales. SQL queries for performing exploratory analysis and extracting insights from the sales data. ; Ribbon Chart - Customer You signed in with another tab or window. Power BI, a leading business intelligence platform by Microsoft, enables users to create visually appealing and insightful dashboards from diverse data sources. - ogochukwu/Global-Superstore-Analysis While creating reports in Power BI, sometimes we need more creative designs to visualize the data in the most effective way. Clear Visualizations: Crafted interactive charts and graphs to display key sales KPIs like total sales, sales trends, regional performance, and customer satisfaction. It delivers interactive visualizations and business insights. We meticulously designed a data warehouse schema, established relationships among tables, and seamlessly imported them into Power BI, ensuring impeccable table connections. The In this task, I carried out the process of cleaning and transforming three different datasets using Power BI. md file for the tasks covered in this Notebook. Find and fix vulnerabilities Codespaces To use this project, you can download or clone the repository and open the Superstore_Dataset. I performed series of data preparation steps to ensure that the data is accurate, consistent, and ready for analysis. Identify the KPIs (Total Sales, Total Profit, No. Globalstore--Power BI Dashboard Project: Description: An interactive Power BI dashboard designed to visualize key performance metrics and trends. It allows users to analyze sales performance, trends, and insights to make data-driven Explore insightful sales analysis of a superstore using Power BI. Data Transformation: Using Power Query to clean and prepare the data. • 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 & used measure/calculation, filter/slicers The objectives can be broken down into the following components. DAX. Automate any workflow Used Excel and Power BI to visualise a superstore dataset - PivotTables, Pivot Charts and Dashboards - SherbulMohammed/Superstore_Visualisation Download the project files from the GitHub repository. Steps Overview : The dummy dataset was collected from an online platform. Automate any workflow Codespaces. yjhzy cogo qdul qha flxcp pesap xzts fmlrl dreevrn ivst