Hello, Streamlit community!
I’m excited to share a project I’ve been working on—a Streamlit application designed to validate datasets using Benford’s Law . For those who may not be familiar, Benford’s Law is a fascinating observation about the frequency distribution of leading digits in many real-life sets of numerical data. It’s a powerful tool for detecting anomalies and is widely used in fields like auditing to identify potential data manipulation or fraud.
The application allows users to:
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Upload data from a file (CSV, Excel, or TXT).
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Paste numerical data directly into a text area.
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Visualize the observed frequency of leading digits against the expected distribution according to Benford’s Law.
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Set a deviation threshold to automatically flag significant anomalies.
This tool is a great example of how Streamlit can be used to create interactive and practical applications for data analysis and validation. I’ve put together a video to demonstrate how it works:
Video
Note on Audio: The original audio for the video is in Spanish . However, YouTube’s automatic dubbing feature is enabled , so you can easily switch to the English audio track to follow along.
I hope you find this project interesting and useful. I’d love to hear your feedback and see if anyone has ideas for expanding its functionality!