This project is a web-based application that performs Benford's Law analysis on data and visualizes the results using the Google Charts library. Benford's Law is a statistical phenomenon that states that in many real-world datasets, the leading digits (1 to 9) occur with a specific distribution, and this distribution can be used to detect anomalies or fraud in data.

• Benford's Law analysis on input data
• Upload a json file or use built-in functions to generate data
• Display the results in an HTML table
• Visualization using Google's Combo Chart
• Customizable options for chart appearance and behavior

• HTML
• CSS
• JavaScript
• Google Charts library

1. Clone or download the repository.
2. Open index.html in a web browser.
3. Upload your data in JSON format (You can check the json format on the example data/example.json).
4. Click the "Analyze" button.
5. View the results in the HTML table and the Google's Combo Chart.
6. Optionally customize the chart appearance and behavior using the available options.
7. Enjoy exploring and visualizing Benford's Law phenomenon in your data!

If you don't have any data and you just want to explore this project:

1. Open the file "js/main.js".
2. Uncomment the function you want to use to generate the data (either getRandomData or getBenfordData), learn more about these functions on "js/benfordtestdata.js"
3. Open index.html in a web browser.
4. Enjoy exploring!

Contributions to the project are welcome! If you find any issues or have suggestions for improvements, please feel free to open an issue or submit a pull request.

This project is licensed under the MIT License.