An interactive sales dashboard built with Python, designed to analyze, visualize, and provide actionable insights into sales performance. This project is a part of my journey in learning Python for data analytics.
- Data Cleaning & Transformation: Preprocess and clean raw sales data for accurate analysis.
- Visualizations: Interactive charts for KPIs such as sales trends, revenue by region, top-performing products, and customer demographics.
- Insights & Reporting: Key performance metrics displayed in an easy-to-understand format, enabling quick business insights.
- Technologies Used
- Pandas for data manipulation
- Matplotlib and Seaborn for data visualization
- Streamlit for building an interactive, web-based dashboard
Clone the repository, install the dependencies, and launch the Streamlit app to view the dashboard.
This project helped me build foundational skills in data cleaning, visualization, and dashboard design, leveraging Python libraries to turn data into business insights.