This project provides an interactive data visualization dashboard for analyzing customer shopping data from several shopping malls in Istanbul. The dashboard was built using Power BI and contains a variety of charts and slicers that allow users to explore the data in a meaningful way.
The dataset used in this project includes information such as customer id, product categories, shopping mall, payment methods, and more. The dashboard provides insights into customer behavior and preferences, as well as trends in product sales and revenue over time.
Stacked column chart showing the sum of quantity by category and age Funnel chart displaying the customer journey through the sales process Clustered column chart comparing revenue by shopping mall and payment method Donut chart showing the breakdown of sales by gender Slicers allowing users to filter the data by gender, shopping mall, payment method, and age range This project is a great example of how Power BI can be used to create visually appealing and informative data visualizations. By exploring the data in this dashboard, stakeholders can gain valuable insights into customer behavior and make data-driven decisions to improve business performance.
To view the dashboard, you will need to have Power BI Desktop installed on your computer. Once you have downloaded the project files from GitHub, simply open the .pbix file in Power BI Desktop to view the dashboard.
The dashboard provides an intuitive interface for exploring the customer shopping data. Use the slicers to filter the data by different criteria, such as gender, shopping mall, payment method, and age range. The various charts and graphs provide insights into customer behavior and product sales trends.
If you would like to contribute to this project, please fork the repository and submit a pull request. Any suggestions or improvements are welcome!
This project is licensed under the MIT Licenses.