- Power BI
- Data Visualization
- Business Intelligence
To open the .pbix file, you need to have Power BI Desktop installed on your computer. You can download it from Microsoft Power BI.
This Power BI project analyzes data from a student survey conducted across various retail stores in the United States. The dataset includes information on how students spend on different categories such as Video games, Indoor games, Toys, Books, Gadgets, etc. The primary goal is to derive meaningful insights based on store location and store setting attributes.
Displays Total Amount of Purchase (TAP) formatted by store location and store setting, with conditional formatting based on spend ranges
Shows the amount spent on Outdoor sports across different ages and store settings, with color formatting for spend amounts.
Illustrates the total amount of purchase by store setting, with data labels represented as percentages.
Presents the total amount of purchase by store location specifically for Suburban store settings, leveraging filter context.
Analyzes Video games purchase versus Outdoor sports spending across different age groups.
Explores Indoor sports versus Video games spending across different age groups.
Implements data access restrictions based on user roles defined in a user mapping table, ensuring users only access data relevant to their designated store setting.
- Publishes the report on Power BI cloud service and designs a Master Dashboard featuring the Funnel chart and scatter plots.
- Sets up scheduled refresh for the dashboard to update six times daily, every 4 hours.
- Utilizes Power BI's Q&A feature to:
- Display the average age of students.
- Create a Donut chart showcasing total purchases by store location.
The project involves creating visualizations, applying formatting, implementing security measures, and scheduling
data refreshes to ensure up-to-date insights.
Power BI, Power BI Service (Cloud), DAX (Data Analysis Expressions)
Further enhancements may include additional visualizations or deeper analysis into specific spending patterns or demographic trends.
