This project involved analyzing a retail dataset using Power BI to create visualizations and communicate insights. Tools used included Power BI Desktop, a Superstore Sales Dataset, and Power Query Editor for data cleaning. Visualizations were created to analyze sales, profit, and other metrics.
From the README
📊 Superstore Sales Analysis Dashboard – Power BI 📝 Task Overview This project was completed as part of the Data Analyst Internship – Task 2: Data Visualization and Storytelling. The objective was to explore and analyze a retail dataset using Power BI, build insightful visualizations, and communicate business insights effectively. --- 🧰 Tools Used • Microsoft Power BI Desktop • Superstore Sales Dataset (CSV Format) • Power Query Editor (for cleaning data) --- 📁 Dataset • Source: Kaggle – Superstore Dataset • Format: CSV • Columns Used: Order Date, Sales, Profit, Discount, Category, Sub-Category, Region, State, Order ID --- 📊 Visualizations Created Page Chart Type...
