Overview
A data analysis and inspection tool designed to streamline the process of exploring and understanding raw datasets.
It allows users to quickly load data, perform cleaning operations, and extract meaningful insights through structured analysis.
The project focuses on handling real-world data challenges such as missing values, inconsistent formats, and exploratory data analysis.
Special emphasis was placed on usability, modular code structure, and efficient data handling using Python-based data science libraries.
What this project explores
EDA
Data Cleaning
Data Analysis