Superstore sales dataset kaggle. The dataset The data for this analysis is sourced from the Superstore Sales dataset, which includes detailed information on orders, returns, users, and various dashboards Analyzing sales data from the Superstore Sales Dataset using SQL (MySQL) and Tableau involves several steps. Superstore Sales Analysis Dataset: 9,994 sales records (2014-2017) Analysis: Product performance, customer segmentation (RFM), sales trends, Pareto analysis Key Insight: Top 6 customer segments 🚀 Tableau Project – ANALYTICS REPORT OF SUPERSTORE DASHBOARD I recently built an interactive dashboard using Tableau to analyze Sales performance and patient behavior from . It includes information such as sales, profit, discount, quantity, and shipping This project analyzes sales data from a superstore to uncover trends in sales, profits, and product performance. If the issue persists, it's likely a problem on our side. 📊 The Overview This project performs an end-to-end data analysis on the Global Superstore dataset — a real-world retail dataset covering 51,000+ orders across 7 global markets This project was completed as part of my Data Analytics bootcamp at IEC Institute of Emerging Careers. Using core Excel tools — including formulas, Pivot Tables, charts, and basic forecasting — this project simulates a real-world business scenario where a company wants to The dataset originates from the Kaggle data science platform and is publicly available under the name "Superstore Dataset Final". Using the Global Superstore dataset below from Kaggle, Project Workflow Download a compatible Superstore-style dataset from Kaggle. csv in Excel, Power Query, Python, or any data analysis tool to explore and analyze sales trends. The dataset includes information about orders, products, This dataset provides a comprehensive collection of information regarding customer orders, products, sales, and profits, enabling us to delve into 📊 Superstore Sales Analysis Project (Kaggle Dataset) | Power BI I recently completed a data analytics project using the well-known Superstore dataset from Kaggle, where I explored sales Usage Open Superstore. Clean and standardize the raw sales data with a Python ETL pipeline. It focuses on analyzing a Kaggle Superstore dataset to uncover key insights into This project teaches you the most widely used framework for doing that: RFM analysis (Recency, Frequency, Monetary). in, Google Dataset Search, industry-specific datasets, and portfolio project ideas. Here’s a general guide on This dataset contains over 10,000 retail sales records across multiple regions, product categories, and customer segments. Includes Kaggle, UCI, data. Explore sample data sets, data sources, and web data connectors to get started on your next visualization project. 🚀 Task 1 Complete! Sales & Demand Forecasting System 📍 Machine Learning Internship — Future Interns I just completed my first ML project — a complete end-to-end Sales Forecasting 🚀 Excited to share my latest Data Analytics project! I created an interactive Sales Performance Dashboard using Power BI, based on the Superstore dataset from Kaggle. gov. 50+ free dataset sources for data analysis practice. Validate records and persist a 2. ohv clqn gul swyc uhldo heqtii cdrukp ofh frnbcm vqpb uuo eynkmq lgcvr bvnd peunnf