Statistics Analysis Toolkit

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Tech Used:  Python, Flask, SQLite

The Statistics Toolkit is a comprehensive web application designed to perform various statistical calculations with an intuitive interface. Built using Python and Flask for the backend, the project provides a range of statistical tools including descriptive statistics, ANOVA, confidence intervals, and linear regression analysis. The application features a clean, user-friendly interface with sample datasets for quick testing and automatically saves calculation history. SQLite serves as the database for storing sample datasets and user calculations. This project demonstrates the practical application of statistical methods in a web environment, making complex calculations accessible through a simple interface.

Project Snippets

Snippet 1

Main interface of the Statistics Toolkit showing calculation options.

Snippet 2

Example of descriptive statistics calculation results.

Snippet 3

Sample dataset management using SQLite database.