https://github.com/punitkumar4871/superstore_sales_analysis
Superstore Sales Analysis Dashboard built in Power BI. Explore interactive visualizations for year-over-year sales trends, profits by state and customer segments, and more. Features dynamic slicers for customizable filtering. Includes a sample .pbix file and README for setup. Ideal for data analysts and BI enthusiasts
https://github.com/punitkumar4871/superstore_sales_analysis
powerbi
Last synced: 4 months ago
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Superstore Sales Analysis Dashboard built in Power BI. Explore interactive visualizations for year-over-year sales trends, profits by state and customer segments, and more. Features dynamic slicers for customizable filtering. Includes a sample .pbix file and README for setup. Ideal for data analysts and BI enthusiasts
- Host: GitHub
- URL: https://github.com/punitkumar4871/superstore_sales_analysis
- Owner: punitkumar4871
- Created: 2025-07-17T18:04:05.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-07-18T08:50:04.000Z (11 months ago)
- Last Synced: 2025-08-02T02:27:05.381Z (11 months ago)
- Topics: powerbi
- Homepage:
- Size: 535 KB
- Stars: 6
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Superstore_Sales_Analysis
### Superstore Sales Analysis Dashboard
#### Overview
This PowerBI dashboard provides a comprehensive analysis of Superstore sales data. It focuses on key metrics such as sales trends from previous years, overall profits, and breakdowns by states and customer segments. The dashboard is designed to be interactive, allowing users to filter and explore data dynamically through slicers.
`Features`
Sales Trends Analysis: Visualizes year-over-year sales performance to identify growth patterns and seasonal trends.
`Profit Overview:` Displays total profits with breakdowns to highlight profitable areas.
`Profit by States:` Interactive charts showing profit distribution across different U.S. states, helping pinpoint high and low-performing regions.
`Profit by Segments`: Analyzes profits across customer segments (e.g., Consumer, Corporate, Home Office) for targeted insights.
`Dynamic Slicers`: Use slicers for categories like date ranges, regions, segments, and product categories to customize views on the fly.
### Requirements
PowerBI Desktop (version 2.0 or later) installed.
Access to the Superstore dataset (typically available as a sample Excel file or CSV).
`Installation and Setup`
Download the .pbix file from this repository.
Open the file in PowerBI Desktop.
If needed, connect to the data source (e.g., import the Superstore Excel file).
Refresh the data to load the latest information.
`Usage`
Launch the dashboard in PowerBI.
Use the slicers on the left panel to filter by year, state, segment, or other dimensions.
Hover over charts for tooltips with detailed metrics.
Switch between report pages for focused analyses (e.g., Sales Trends page, Profits by State page).
`Data Source`
The analysis is based on the standard Superstore dataset, which includes fields like Sales, Profit, Quantity, Discount, and categorical data such as Region, Segment, and Category.
`Contributing`
If you'd like to suggest improvements or add new visuals, feel free to fork the repository and submit a pull request.