AliAmini93/Data-Distribution-Finder
Developed a Windows-based app for analyzing data distributions and identifying the best-fitted distribution using the Maximum Likelihood Estimation algorithm. The app features histogram analysis, error ranking, and allows users to directly save results along with distribution charts.
This tool helps scientists, engineers, or analysts quickly understand the underlying statistical pattern of their numerical data. You input a raw dataset, and it outputs the name and parameters of the statistical distribution that best fits your data, along with charts and error rankings. This is ideal for anyone who needs to model data behavior for simulations, risk analysis, or quality control.
No commits in the last 6 months.
Use this if you have a dataset and need to identify which standard statistical distribution (like normal, exponential, etc.) it most closely follows.
Not ideal if you need to perform complex custom statistical modeling or require an online web-based tool.
Stars
18
Forks
—
Language
Python
License
MIT
Category
Last pushed
Feb 18, 2023
Commits (30d)
0
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