Superstore dataset kaggle github In this personal Superstore Sales SQL Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. The primary goal is to gain insights into the sales performance of the Superstore and create an interactive Power BI dashboard for business stakeholders. (link https://www. This repository hosts a comprehensive dataset sourced from Kaggle, offering a rich collection of sales and order data from the Global Superstore. A kaggle's sample superstore dataset, a kind of a simulation where you perform extensive data analysis to deliver insights on how the company can optimize its profit levels. We could not confirm the units of the sales data. superstore dataset EDA and KMeans Analysis About Data With growing demands and cut-throat competitions in the market, a Superstore Giant is seeking your knowledge in understanding what works best for them. - dmarks84/Ind_Project_Superstore-Sales-Time-Series-Analysis--Kaggle The queries cover common data analysis tasks such as filtering, grouping, and aggregating data to extract useful insights. The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. Learn more With a primary objective to illuminate effective product offerings, regional focus areas, product categories, and customer segments, I meticulously selected and curated a dataset from Kaggle, tailored to meet the exacting standards of a contemporary retail giant. This project focuses on creating a robust database management system that facilitates efficient handling of various aspects of an online store, from product inventory to customer orders. Superstore-Sales-Dashboard---Powerbi Power BI dashboards can be a helpfull tool to provide insights into sales performance and trends of an organization. This project involves the analysis and visualization of sales data from the Superstore dataset, which was imported from Kaggle. Learn more Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Practice Your Data Analysis Skills as a Superstore Data Analyst Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The dataset is a Global Superstore dataset based on sales and was found on Kaggle. - GitHub - Wunmi-O/Superstore: A kaggle's sample superstore dataset, a kind of a simulation where you perform extensive data analysis to deliver insights on how the company Analysis about data of a superstore to make business decisions - lucalevi/superstore-dataset The dataset from Kaggle had little documentation. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. 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 data was sourced from Kaggle in CSV format. The units themselves might not even be prices, but a quantity of items sold or some output from a formula we do not have access to. Superstore Dataset From kaggle. This Shiny dashboard provides an interactive visual representation of the Superstore Sales dataset obtained from Kaggle. The dataset is subset of a Global Superstore dataset which is from a global retail chain that sells office supplies, Furniture and Technology Stuff. The dashboard should include key metrics such as total sales, sales by product, sales by location, sales by customer segment, and sales by product category. It is obligatory for any manufacturing firm to maintain continuity of its supply chain to meet customer needs timely. The SuperStore Database Management Project (DBMD) is a comprehensive solution designed to streamline and optimize the operations of an e-commerce business. Deleted the An Interactive Dashboard using Power Desktop on Global Superstore Dataset collected from Kaggle. Saved searches Use saved searches to filter your results more quickly A kaggle's sample superstore dataset, a kind of a simulation where you perform extensive data analysis to deliver insights on how the company can optimize its profit levels. This is a detailed analysis on customer behavior analysis. Saved searches Use saved searches to filter your results more quickly In this Superstore Sales Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. kaggle. The Global Superstore dataset can be used for a variety of analyses, including sales forecasting, inventory management, customer segmentation, and profitability analysis. It offers multiple interesting dimensions to explore like order priority, product category, ship mode, location details, product segment and time series information. Data Reading: The dataset was read and imported into the project using the popular pandas library, allowing for efficient data manipulation and analysis. The main aim of the project is to uncover insights into the store's sales and profits trends and patterns from 2014 to 2017. Introduction This project aims to analyze sales and consumer behavior using the Global Super Store dataset. Contribute to MoustafaMohamed01/Data-Analysis-Superstore development by creating an account on GitHub. The main task was to make predictions for future sales based on time-series analysis, which is found in Part 2. We assumed it was in USD, however it could easily be CAD, considering this is data from a Canadian company. EDA and ML with Superstore Dataset off Kaggle This notebook illustrates a simple end-to-end analytics and ML solution. 📊 Just Launched out of practice: Simple Power BI Dashboard 🚀. 💼 Here's a quick overview of what you'll find in the dashboard: In pursue of knowledge and understanding of which products, regions, categories and customer segments a company should target or avoid, I search and selected an appropriate dataset on kaggle which will match a standard superstore requirement. - Superstore/SampleSuperstore. Ideal for anyone looking to explore SQL query techniques or work with business-related datasets. However, at today's global scale the products go through complex supply chain networks needing large shipping times. It is available for free download from various sources, including the Microsoft website and Kaggle. 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. This dataset pertains to a superstore in the US, providing information on customer transactions from 2014 to 2017. Identified and removed a duplicate transaction record for the customer Laurel Beltran using the "remove duplicate" function. com/datasets/jr2ngb/superstore-data ) Dataset containing Sales & Profits of a Superstore Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. The dataset was obtained from Kaggle, specifically focusing on the superstore dataset, which provided the necessary information for the analysis. . This report analyzes various aspects of the dataset to extract meaningful insights. The dataset is a valuable resource for data enthusiasts, analysts, and researchers looking to explore and analyze the operations and performance of a multinational retail organization. Excited to share my latest project! I've created a powerful Power BI dashboard using the Superstore dataset, and I'm thrilled with the insights it provides. The findings provide insights into sales trends, regional performance, and other critical business metrics that can help improve strategic decision-making and business operations. The data comes from Kaggle's superstore dataset. Independent Project - Kaggle Dataset-- I worked on the Superstore Sales Dataset, performing (as Part 1) data cleaning and preparation and exploratory data analysis. csv at master · Wunmi-O/Superstore The data, sourced from the Superstore retail transaction dataset on Kaggle, covers the period from 2014 to 2018. Connecting Database with Power BI Desktop; Analyzing the tables and relations; Data Cleaning using the Power Query Editor; Data Modeling; Writing DAX; Developing an Interactive BI Dashboard/Report Profit: The profit generated by the order. sliy aihhqua jwx phq hvcol ubcsv mlka mbhv uzeea ybzokj