Skaylar is a simple, web-based tool for forensic data analysis using Benford's Law to analyze and visualize first-digit distributions in a dataset.

Paste the data, click Run Test, and instantly see if there are anomalies.

What is Benford's Law?

In real financial data, the digit "1" appears as the first digit ~30% of the time, "2" ~18%, etc.

If your data deviates too much, it can signal fraud, errors, or manipulation.

Skaylar checks this for you in seconds.

How to Use

### 1. Visit https://temi-tade.github.io/Skaylar or download the repo (offline use):

`git clone https://github.com/Temi-Tade/Skaylar.git`

or click `Code > Download ZIP` and extract files on your computer.

2. Open

Double-click `index.html`

Works in Chrome, Edge, Firefox, and on mobile.

3. Analyze

- Paste your numbers in the box. Numbers should be delimited by commas, spaces or new lines

- Click `Run Test`

- View the results table and graph

- Click `Run Mock Data` to try it with sample data first

What You Get

- Results Table: Expected % vs Actual % for digits 1-9 and deviations

- Graph: Visual comparison to spot deviations fast

- Analytics: Max deviation and Chi square value.