CodeAlpha_EDA_Task2

📊 Exploratory Data Analysis (EDA) on Quotes Dataset

Overview

This project performs Exploratory Data Analysis (EDA) on a Quotes Dataset to uncover patterns, analyze quote characteristics, and generate meaningful insights using Python.

Tools & Libraries

• Python
• Pandas
• Matplotlib
• Seaborn

Dataset Columns

• Quote
• Author
• Tags

Analysis Performed

• Data Structure Exploration
• Missing Value Analysis
• Duplicate Record Detection
• Quote Length Analysis
• Top Authors Analysis
• Top Tags Analysis
• Data Visualization

Key Insights

• Identified the most frequent authors.
• Analyzed quote length distribution.
• Found the most common tags.
• Detected potential outliers in quote lengths.

Run the Project

pip install pandas matplotlib seaborn
python EDA.py

CodeAlpha Data Analytics Internship – Task 2