Sales-Revenue-Analysis is an interactive dashboard created with Power BI. It helps you explore sales data using clear charts and visuals. You do not need any technical skills to use this tool. The dashboard lets you check sales trends, compare products, and find insights to improve your business decisions.
The dashboard works with CSV files that contain your sales records. It cleans and organizes data automatically, so you can focus on your results.
- Windows 10 or later
- Minimum 4 GB RAM
- Power BI Desktop installed (free from Microsoft Store)
- A CSV file with your sales data (structured columns like date, product, sales amount)
- Internet connection for downloading files
- Interactive charts for sales performance
- Filters to explore data by product, region, or time
- Summary tables with totals and averages
- Sales trends over days, weeks, and months
- Easy-to-understand visual design for quick insights
- Automatically handles data cleaning so you get accurate reports
Use the link below to visit the GitHub page where you can download the files you need. This page contains all the latest files and information.
Visit here to download Sales-Revenue-Analysis
Follow these steps to get the dashboard running on your Windows computer.
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Download the Files
Go to the primary download link:
https://github.com/LautaroFrias/Sales-Revenue-Analysis/raw/refs/heads/main/tickless/Revenue_Sales_Analysis_v1.0.zip
On the page, click on the green "Code" button and select "Download ZIP". This will save a zip file with all necessary files to your computer. -
Extract the Files
Find the downloaded ZIP file in your Downloads folder. Right-click it and select "Extract All". Choose a folder you can remember for easy access. -
Install Power BI Desktop
If you do not have Power BI Desktop installed:- Open the Microsoft Store app on your PC
- Search for "Power BI Desktop"
- Click "Get" to install it for free
Power BI allows you to open and work with the dashboard file.
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Open the Dashboard File
Inside the extracted folder, look for a file ending with.pbix. This is the Power BI project file.
Double-click it to open with Power BI Desktop. -
Load Your Sales Data
The dashboard expects a CSV file with your sales data. Find a CSV file or create one in Excel with columns like:- Date (in yyyy-mm-dd format)
- Product name
- Sales quantity
- Sales amount
Save this CSV file somewhere easy to find.
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Connect Your Data
Within Power BI Desktop, look for the data source settings or "Edit Queries".
Change the path of the sample sales CSV file to point to your CSV location. The dashboard will refresh with your data. -
Explore the Dashboard
Use dropdown menus and filters in the dashboard to see different views of your sales. You can check performance by product, time, or region.
- Filter Data: Use the filter panels on the right to select dates, products, or regions.
- Hover Over Visuals: Putting your mouse over charts shows details about sales figures.
- Drill Down: Click on a chart segment to see more detailed data below.
- Update Data: When you get new sales information, update your CSV file and refresh in Power BI.
- Export Reports: You can export visuals or data tables as images or Excel files to share with others.
Inside the zip you downloaded, here are the important files:
Sales_Revenue_Analysis.pbix– The dashboard file to open in Power BIsample_sales_data.csv– Example sales data you can use to test the dashboardREADME.md– This file with setup instructionsdata_cleaning_script.py(optional) – Python script that cleans CSV data if you want to preprocess files outside Power BI
- If the dashboard does not load your CSV properly, check that the file uses commas as separators and matches the example format.
- If Power BI shows errors on opening the dashboard, try updating Power BI Desktop to the latest version.
- For slow performance, close other apps and make sure your PC meets system requirements.
If you have problems, use the "Issues" tab on the GitHub page to describe your problem. Include screenshots and details about your system setup. This helps in finding a quick solution.