Data Analysis

This project focuses on performing Exploratory Data Analysis (EDA) on a car dataset to understand patterns, relationships, and key characteristics of the data.

The workflow includes:

Importing and exploring the dataset using Pandas

Displaying head, tail, info, and statistical summary

Checking and handling missing values

Analyzing numerical features distribution

Visualizing data using Matplotlib and Seaborn

Creating histograms for feature distributions

Building a correlation heatmap to identify relationships between variables

Generating scatter plots to analyze relationships such as Engine HP vs MSRP

The project demonstrates strong skills in data cleaning, statistical exploration, and data visualization to extract meaningful insights from raw datasets.