Global superstore dataset github. csv at main · anwarraif/R_ExploratoryDataAnalysis .

Global superstore dataset github. 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. Tables sub-category is infact making a loss. The goal of this project is to leverage Power BI's powerful features and capabilities to analyze and visualize the Global Superstore dataset. The software I used is Power BI. ” 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. Toggle navigation. Find and fix The dataset is a Global Superstore dataset based on sales and was found on Kaggle. main Contribute to MunnaDas/Global-Superstore-Dataset- development by creating an account on GitHub. 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. Contribute to pgensler/Global-Superstore-Analysis development by creating an account on GitHub. Sign in Product GitHub community articles Repositories. com . csv at main · anwarraif/R_ExploratoryDataAnalysis. I have used a little bit of DAX to create conditional columns Eg. 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. The dataset includes information such as sales, profit, product You signed in with another tab or window. You switched accounts on another tab Analysis of Global Superstore dataset. Committed to serving its You signed in with another tab or window. The dashboard is interactive and allows users to You signed in with another tab or window. 3%. 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. Write better code with AI Security. - Global-Superstore-2016-Power-BI/README. The report is structured into four pages, each focusing on specific aspects of the data to inform strategic business decisions. 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 Super Store dataset contains data on order details of customers for orders of a superstore ie; chain of multiregional stores under a brand globally. To showcase my proficiency in this area, I undertook a Power BI project titled “Global Super Store Analysis. Skip to content. 'Year'. The dataset includes information such as sales, profit, product category, shipping methods, regions, cities, and more. Automate any workflow Packages. Navigation Menu Toggle navigation. This is a detailed analysis on customer Open the file Global_Superstore_Sales_Story. - Releases · AnjanaAbY/Global-Supersore-PowerBI Analysis of Global Superstore dataset. Discover actionable insights with this Power BI dashboard on the Global Superstore dataset. 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. Sign in Product Actions. 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. com/t5/Data-Stories-Gallery/Global-Super-Store/td-p/627564. GitHub is where people build software. 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. 5% profit margin. 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. This is a PowerBI dashboard for visualizing a 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. Global Superstore, headquartered in New York, is a leading e-commerce retailer with a vast product range. You signed in with another tab or window. AI-powered developer This project focuses on creating interactive data visualizations for the Global Superstore Dataset to provide actionable insights for business decision-making. - R_ExploratoryDataAnalysis/Dataset Global Superstore. html in your browser to view the visualization. Data Source: The dataset contains historical sales records from Global Superstore. Quickly spot increases or decreases in sales, profit ratio, and shipping time, and switch to the Prescriptive tab to pinpoint the root cause. Sign in Product GitHub Copilot. twb at main · Issues. core. This project’s data is open source, it is the Global Superstore dataset obtained from Kaggle. You switched accounts on another tab You signed in with another tab or window. This project utilizes Python to analyze and extract insights from a dataset containing detailed transactional data of a superstore. 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 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. The dataset includes information such as product This is data visualization done with tableau desktop. It includes various visualizations to help stakeholders analyze and understand key aspects of the business. 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. 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. - 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. 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. It records a -8. The visualizations provide insights into sales patterns at various geographic levels and delve into shipping cost trends. I have also included a clear button for removing all the applied filters. frame. Topics Trending Collections Pricing; Search or jump About. Our main KPI's for this Dataset were that of Total Sales, Profit and Quantity. It include various visualizations to help stakeholders analyze and understand key aspects of the business. GitHub community articles Repositories. Superstores industry comprises of companies that operateby having large size spaces which store and supply large amounts of goods. 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. 📊 Project Overview This project involves cleaning and exploring the Global Superstore dataset using SQL to extract key insights. The objective is to extract actionable insights that can help in strategic EDA is Exploratory and Explanatory Data Analysis. Problem Statement : Global Superstore has been going through loss in the products sold. This is where Global Superstore is losing money. It provides a comprehensive analysis of sales, profit, and order metrics across various categories, regions, and time periods. Reload to refresh your session. This Power BI report offers an in-depth analysis of the Global Superstore dataset, covering three key areas:. - MmaAdeola/Superstore-sales-analysis Project about data analysis and science of real dataset of Superstore includes techniques of data filtering and cleaning and preprocessing. The data can be accessed via this link. The Power BI report This project was done using jupyter notebook in python. Global Super Store from Kaggle. 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. 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. 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. - DATA-VISUALIZATION-/DATA VISUALIZATION USING THE GLOBAL SUPERSTORE DATASET. 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. welcome to the power BI project for the global superstore dataset. You switched accounts on another tab or window. 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. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Navigation Menu Toggle This Power BI dashboard comprehensively analyses the Global Superstore dataset, offering insights into sales, profits, and other key metrics. The The dataset includes retail store transactions for a global superstore at various levels of granularity- City, Region, Country, Product, Category etc. Analysis of Global Superstore Dataset provided by PowerBI Community https://community. powerbi. Then, 🌍 Global Superstore Data Cleaning and Exploration. This project provide a detailed report on sales transactions across branches worldwide. 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. Find This Power BI report analyzes the Global Superstore dataset, providing key insights into sales, profitability, shipping, and regional performance. I have used bar charts, donut charts, cards, column charts, and a few slicers for filtering the data. The dataset is in a CSV format with 51,290 observations and 24 features. 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. 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. It offers multiple interesting dimensions to explore like order priority, product category, ship mode, location details, product segment and time series information. Topics Trending Collections Enterprise Enterprise platform. The Global Superstore dataset consist of 20 columns and 51,281 rows. Identify Market as well as country wise loss & find products in which sub-category are in loss in those countries. The dataset comprises records from various countries, focusing on product sales, profitability, and customer behavior - Global_superstore_data/README. The dataset includes order details, anonymized customer information, product specifics, and Consumer and product Analytics on Global Super Store Data. 1. Before analyzing the data <class 'pandas. An analysis of the global superstores dataset. 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. Welcome to the Power BI project for the global store dataset! This project provides a detailed report on sales transactions across branches worldwide. You signed out in another tab or window. - SuperStore-Dataset-2019-2022/README. 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. It analyzes global sales, profitability & customer segmentation. 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. This is the Python version analysis approach, towards the legendary Sample Superstore Dataset with Pandas - leonism/sample-superstore. The aim is to A comprehensive Power BI dashboard utilizing the Global Superstore dataset, providing robust and dynamic data visualizations. This analysis was conducted as a task assigned by Vikot Solutions limited. 📜 Task: To draw conclusions from the dataset of customer retention and visually present the data analysis of churn. This is a detailed analysis on customer behavior analysis. - 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. 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. 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. md at main · Developed a comprehensive dashboard using flexdashboard in R programming language to analyse and visualize sales data for Global Superstore dataset. Navigation Menu Skip to content. Product-Based Analysis; Customer-Based Analysis; Region-Based Contribute to LAIJUKL/global-superstore-dataset development by creating an account on GitHub. Host and manage packages Security. Setup: Load the dataset into Power BI and explore visualizations through various filtering options to 🌍 Global Superstore Data Cleaning and Exploration. This repository involves analyzing the Global Superstore dataset, which includes detailed international sales data. ymuldzw ldphob trpy rsszyg deqbcmh dbslv pzsey tob sgb pzidpw

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