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