Plotly is a Python-based data visualization project designed to serve as an alternative to Power BI for creating interactive and insightful dashboards. This project leverages libraries like Plotly, Pandas, and Matplotlib to deliver powerful, user-friendly data visualizations directly in Python.
Why Plotly?
Flexibility and Customization: Unlike Power BI, which has predefined settings, PlotPy allows for fully customizable charts and plots.
Cost-Effective: Built entirely using Python libraries, it's free and open-source.
For Python Enthusiasts: Seamlessly integrates with Python scripts for additional data processing or analysis.
No Software Installation Needed: Run it in any Python environment (local machine or Jupyter Notebook).
Key Features
1.Interactive Dashboards: Generate interactive plots and graphs using Plotly.
2.Data Aggregation: Perform statistical and numerical aggregations using Pandas.
3.Comprehensive Visualizations: Support for bar charts, line plots, scatter plots, radar charts, and more.
4.Customizable Themes: Customize colors, layouts, and styles for your visualizations.
5.Export Options: Save visualizations as images or embed them in reports.
Prerequisites
To run this project, you need:
Python: Version 3.8 or higher
Pandas: For data manipulation
Plotly: For interactive visualizations
Matplotlib: For additional charting options
Explore Visualizations
Generated plots will be displayed interactively in your browser.
Exported visualizations will be saved in the plots/ directory.
Example Visualizations
Sample Dataset
The project includes random data to demonstrate the capabilities of the system. .
Sample Plots
Bar Chart: Compare categories effectively.
Scatter Plot: Visualize relationships between variables.
Radar Chart: Summarize data dimensions.
Line Plot: Analyze trends over time.
Libraries and Tools
- Plotly
Used for creating highly interactive and aesthetic plots.
Supports zooming, panning, and detailed tooltips. - Pandas
Provides robust data manipulation and analysis tools.
Easily handles large datasets and missing values. - Matplotlib
Complements Plotly for additional plotting options.
Used for static and publication-ready charts.
Advantages Over Power BI
1.Feature PlotPy (Python) Power BI
2.Cost Free Paid (after trial)
3.Customization Full flexibility Limited to templates
4.Scripting Integration Seamless in Python Limited scripting options
5.Data Processing Power Python libraries Built-in limited features
6.Scalability Highly scalable Limited without premium plans
Future Enhancements
Adding advanced machine learning models for data analysis.
Integration with cloud storage services for dataset management.
Building an optional web-based interface for non-coders.
License
This project is licensed under the MIT License.
Author
Aman Giri
GitHub: AmanGiri24x
Email: amankumargiri124@gmail.com
Feel free to contribute or reach out for feedback and collaboration!