Python Project

A Python-based tool designed to clean, preprocess, and analyze raw datasets. The project focuses on automating repetitive data preparation tasks and generating quick insights for decision-making.

Key Features

- Data Cleaning: Handling missing values, duplicates, and inconsistent formats

- Preprocessing: Converting data types, normalizing text, and scaling numerical values

- Exploratory Analysis: Summary statistics, correlation checks, and trend visualization

- Visualization: Charts and graphs using Matplotlib/Seaborn for better understanding

Project Goals

- Reduce manual effort in preparing datasets

- Provide a reusable script for analysts and businesses

- Demonstrate Python’s power in data engineering and analytics

Tools & Libraries: Python, Pandas, NumPy, Matplotlib, Seaborn