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Global superstore dataset github. powerbi. Sign in Product The dataset used for this project includes sales transactions from a global superstore, covering metrics like order quantity, sales, profit, and customer demographics. This is a PowerBI dashboard for visualizing a global superstore dataset. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore. Discover actionable insights with this Power BI dashboard on the Global Superstore dataset. Committed to serving its You signed in with another tab or window. The data can be accessed via this link. - Releases · AnjanaAbY/Global-Supersore-PowerBI Analysis of Global Superstore dataset. md at main · nileshely/SuperStore-Dataset-2019-2022 Global Superstore Dataset Global Store Performance - This dataset is about the global store where they have a list of products, segments, cities, countries, and shipment details. The objective is to extract actionable insights that can help in strategic EDA is Exploratory and Explanatory Data Analysis. Find This Power BI report analyzes the Global Superstore dataset, providing key insights into sales, profitability, shipping, and regional performance. main Contribute to MunnaDas/Global-Superstore-Dataset- development by creating an account on GitHub. - ruhaina-kv/GLOBAL-SUPERSTORE--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. Product-Based Analysis; Customer-Based Analysis; Region-Based Contribute to LAIJUKL/global-superstore-dataset development by creating an account on GitHub. It includes various visualizations to help stakeholders analyze and understand key aspects of the business. 𝙆𝙚𝙮 𝙏𝙖𝙠𝙚𝙖𝙬𝙖𝙮𝙨: - GitHub - Ashubyte/global_superstore The SuperStore Dataset 2019-2022 contains 9,994 sales records across 19 fields, detailing orders, customers, products, and financial metrics, providing insights into regional sales, product categories, and customer behavior. To showcase my proficiency in this area, I undertook a Power BI project titled “Global Super Store Analysis. csv at main · anwarraif/R_ExploratoryDataAnalysis. Superstores industry comprises of companies that operateby having large size spaces which store and supply large amounts of goods. The 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. Reload to refresh your session. The visualizations provide insights into sales patterns at various geographic levels and delve into shipping cost trends. welcome to the power BI project for the global superstore dataset. This is where Global Superstore is losing money. This is a detailed analysis on customer Open the file Global_Superstore_Sales_Story. com/t5/Data-Stories-Gallery/Global-Super-Store/td-p/627564. Tables sub-category is infact making a loss. This analysis was conducted as a task assigned by Vikot Solutions limited. I have used bar charts, donut charts, cards, column charts, and a few slicers for filtering the data. Host and manage packages Security. This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. Sign in Product GitHub community articles Repositories. The software I used is Power BI. 5% profit margin. Dive into dynamic visualizations for sales, profit, and quantity across regions, categories, and Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. The Power BI report This project was done using jupyter notebook in python. Navigation Menu Toggle This Power BI dashboard comprehensively analyses the Global Superstore dataset, offering insights into sales, profits, and other key metrics. The dashboard is interactive and allows users to You signed in with another tab or window. The aim is to A comprehensive Power BI dashboard utilizing the Global Superstore dataset, providing robust and dynamic data visualizations. - MmaAdeola/Superstore-sales-analysis Project about data analysis and science of real dataset of Superstore includes techniques of data filtering and cleaning and preprocessing. You switched accounts on another tab The dataset used in this Power BI project is stored in a spreadsheet and contains sales data from the store's branches worldwide. Automate any workflow Packages. I am asked as a data analyst to This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. core. The dataset includes information such as sales, profit, product You signed in with another tab or window. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. You switched accounts on another tab or window. Global Super Store from Kaggle. Then, 🌍 Global Superstore Data Cleaning and Exploration. Contribute to pgensler/Global-Superstore-Analysis development by creating an account on GitHub. I have also included a clear button for removing all the applied filters. AI-powered developer This project focuses on creating interactive data visualizations for the Global Superstore Dataset to provide actionable insights for business decision-making. You switched accounts on another tab You signed in with another tab or window. 3%. 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. In my role as a Data Analyst for Global SuperStore, a prominent multinational online retailer serving customers worldwide, I was tasked with creating a Sales Dashboard in Excel. The dataset includes information such as sales, profit, product category, shipping methods, regions, cities, and more. GitHub community articles Repositories. It includes various The Superstore Sales Data Analytics Project harnesses the capabilities of Python's pandas, matplotlib, and seaborn libraries to analyze and extract meaningful insights from a substantial This Tableau dashboard was created using the Sample Superstore dataset. - SuperStore-Dataset-2019-2022/README. 📊 Project Overview This project involves cleaning and exploring the Global Superstore dataset using SQL to extract key insights. This is a detailed analysis Welcome to the Power BI project for the global store dataset! This project provides a detailed report on sales transactions across branches worldwide. Topics Trending Collections Enterprise Enterprise platform. Before analyzing the data <class 'pandas. Problem Statement : Global Superstore has been going through loss in the products sold. frame. Data Visualization of Global Superstore dataset using Tableau Desktop - rishabhxshukla/Global-Superstore-Data-Analysis Contribute to MunnaDas/Global-Superstore-Dataset- development by creating an account on GitHub. An analysis of the global superstores dataset. - DATA-VISUALIZATION-/DATA VISUALIZATION USING THE GLOBAL SUPERSTORE DATASET. You signed in with another tab or window. More than 100 million people use GitHub to discover, A Time Series Analysis and Forecasting, using ARIMA and Prophet models, on a This Tableau dashboard was created using the Sample Superstore dataset. md at main · Developed a comprehensive dashboard using flexdashboard in R programming language to analyse and visualize sales data for Global Superstore dataset. Skip to content. twb at main · Issues. Welcome to the Power BI project for the global store dataset! This project provides a detailed report on sales transactions across branches worldwide. The 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. The project includes descriptive Global Superstore is a global online retailer based in New York, boasting a broad product catalogue and aiming to be a one-stop-shop for its customers. html in your browser to view the visualization. You signed out in another tab or window. Visualizations, built using Tableau & Flourish, highlight sales trends, profitability, & customer behavior insights - Data-Visualization-Tableau-and-Flourish-Analysis This project involves a comprehensive analysis of the Global Superstore dataset, which includes data on sales, profits, customer demographics, and geographical information. 📜 Task: To draw conclusions from the dataset of customer retention and visually present the data analysis of churn. Sign in Product Actions. This Power BI report offers an in-depth analysis of the Global Superstore dataset, covering three key areas:. The The dataset includes retail store transactions for a global superstore at various levels of granularity- City, Region, Country, Product, Category etc. Sign in Product GitHub Copilot. Setup: Load the dataset into Power BI and explore visualizations through various filtering options to 🌍 Global Superstore Data Cleaning and Exploration. This project utilizes Python to analyze and extract insights from a dataset containing detailed transactional data of a superstore. Global Superstore, headquartered in New York, is a leading e-commerce retailer with a vast product range. The dataset includes information such as product This is data visualization done with tableau desktop. - Global-Superstore-2016-Power-BI/README. Power BI dashboards can be a helpfull tool to provide The CEO believes that the future success of the company depends on: • An improvement in inventory management focused on products that generate higher profits for the company. The dataset comprises records from various countries, focusing on product sales, profitability, and customer behavior - Global_superstore_data/README. Resources Spanning a robust four-year period from 2012 to 2015, this dataset encapsulates a vast array of order-related information, offering insights into retail operations across an impressive 147 This corporate style viz is a different take on the classic Tableau Superstore data set. You switched accounts on another tab Analysis of Global Superstore dataset. Navigation Menu Toggle navigation. Topics Trending Collections Pricing; Search or jump About. The Global Superstore dataset consist of 20 columns and 51,281 rows. Navigation Menu Skip to content. Identify Market as well as country wise loss & find products in which sub-category are in loss in those countries. Our main KPI's for this Dataset were that of Total Sales, Profit and Quantity. Data Source: The dataset contains historical sales records from Global Superstore. The goal of this project is to leverage Power BI's powerful features and capabilities to analyze and visualize the Global Superstore dataset. 'Year'. Find and fix The dataset is a Global Superstore dataset based on sales and was found on Kaggle. Plan and track work Introduction Welcome to the "Global Superstore Data Analysis" project! This repository contains a comprehensive data analysis and visualization project using Power BI, focusing on the Global Analysis of the Global Superstore dataset using Power BI. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, and time periods. The report is structured into four pages, each focusing on specific aspects of the data to inform strategic business decisions. This project focuses on identifying profitable and unprofitable products and regions, assessing shipping costs and discounts, and 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 Bookcases has an 11% profit margin, and chairs 9. DataFrame'> RangeIndex: 51290 entries, 0 to 51289 Data columns (total 24 columns): # Column Non-Null Count Dtype --- ----- ----- ----- 0 Row ID 51290 non-null int64 1 Order ID 51290 non-null object 2 Order Date 51290 non-null datetime64[ns] 3 Ship Date 51290 non-null datetime64[ns] 4 Ship Mode 51290 non-null object 5 Customer ID 51290 non Contribute to mohitsac/Global-Superstore---PowerBI-Sales-Dashboard development by creating an account on GitHub. GitHub is where people build software. - R_ExploratoryDataAnalysis/Dataset Global Superstore. The dashboard presents detailed insights into business Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. The objective of this dashboard is to provide the organization with a visual representation of real-time sales data, ultimately enhancing productivity and decision-making capabilities. It include various visualizations to help stakeholders analyze and understand key aspects of the business. It records a -8. In this I will analyze the global superstore dataset using python - GitHub - ANP-Oxy/Global-Superstore-Exploratory-data-analysis-project: In this I will analyze the global superstore 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. This repository involves analyzing the Global Superstore dataset, which includes detailed international sales data. The dataset is in a CSV format with 51,290 observations and 24 features. 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. This project provide a detailed report on sales transactions across branches worldwide. I have used a little bit of DAX to create conditional columns Eg. Toggle navigation. - jamal022/Global-Superstore Here is a dashboard I've created for a telecom client as a part of a Virtual Internship on Power BI from PwC Switzerland in the Data Analytics Virtual Case Experience offered by Forage. It analyzes global sales, profitability & customer segmentation. 1. The visualization is a Tableau Story, so view the story points by clicking on the captions provided In this project I will describe the analysis process I conducted using a Global Superstore’s dataset. ” This project involves several stages, including ETL (Extract, Transform, Load), The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. It includes various visualizations to help stakeholders analyze and This GitHub repository houses a collection of Power BI visualizations designed to analyze sales data for Global Superstore. This is a detailed analysis on customer behavior analysis. com . It is designed to help stakeholders make The Amazon Superstore Report based on the Global Superstore dataset will provide valuable insights into the business operations, sales performance, and market trends. md at main · Ngozikah/Global_superstore_data The dataset used in this Power BI project is stored in a spreadsheet and contains sales data from the store's branches worldwide. It offers multiple interesting dimensions to explore like order priority, product category, ship mode, location details, product segment and time series information. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, Welcome to the Power BI project for the global store dataset! This project provides a detailed report on sales transactions across branches worldwide. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. The dataset includes order details, anonymized customer information, product specifics, and Consumer and product Analytics on Global Super Store Data. Analysis of Global Superstore Dataset provided by PowerBI Community https://community. Write better code with AI Security. paoah chzcg arkyr bvfc ehyesg mtte pvrfxc asupr vulvj wwuidve

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