Data Insight Visualizer

**Versatile Data Visualization Output** 1. **Time Series Analysis:** - Line chart depicting transaction amounts over time, allowing for the identification of spending patterns and peak periods. 2. **Merchant Distribution Analysis:** - Horizontal bar graph showcasing the distribution of spending across different merchants, with the option to filter by specific time frames for targeted analysis. 3. **Customer Segmentation:** - Scatter plot visualizing customer segments based on transaction amounts and types, with the ability to toggle between different segmentation criteria (e.g., age, location) for deeper insights. 4. **Interactive Dashboard:** - Integrated dashboard combining all visualizations for a comprehensive overview of financial trends, merchant analysis, and customer segmentation. - Interactive elements such as dropdown menus, sliders, and filters allow users to customize their view based on specific criteria and preferences. 5. **Export Options:** - Export functionality to save the dashboard and individual visualizations in various formats (PNG, PDF, SVG) for offline sharing and integration into presentations or reports. 6. **Compatibility:** - Compatible with popular data analysis tools and platforms including Python libraries (Pandas, Matplotlib, Seaborn), as well as online platforms for interactive visualization (Plotly, Tableau). This versatile output ensures flexibility in exploring the dataset, catering to diverse objectives and audience preferences. Whether it's diving into detailed analysis or presenting high-level insights, this solution offers seamless integration and interactive exploration capabilities.