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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