Day 17: EDA Like a Pro - The Movie Data Story

Exploring Box Office Data Like a Film Director Plans Their Shot

January 16, 2025

The Pre-Production of Data Analysis

Just like how a director meticulously plans every aspect of a movie before shooting - from location scouting to costume design - data scientists must thoroughly explore their data before analysis. Let's dive into EDA using Prabhas's filmography as our case study.

The 5-Step EDA Process

1. First Look Analysis

✓ Data completeness check
✓ Data type verification
✓ Basic summary statistics

2. Distribution Analysis

Budget Range: 50 Cr - 500 Cr

Collection Patterns: Right-skewed distribution

3. Pattern Finding

Genre Success Rates

Action Movies: 90% Hit Rate

Romance Movies: 50% Hit Rate

4. Relationship Study

Budget Comparison

Pan India Movies
Avg. Budget: 200 Cr

Regular Movies
Avg. Budget: 50 Cr

5. Insights Summary

🎯 Key Finding: Pan India + Action = Best ROI

This combination consistently delivers the highest returns on investment.

Our Dataset: Prabhas's Filmography

Key Variables

Movie Budget 💰
Box Office Collections 🎬
Release Dates 📅
Genre Categories 🎭
Director Information 🎥

Analysis Goals

Pattern Discovery
Success Factors
ROI Analysis
Genre Performance
Market Impact

Pro Tips for EDA Success

Always Visualize: Use plots and charts to tell your data story
Document Everything: Keep track of your findings and assumptions
Think Business: Connect insights to business outcomes
Be Thorough: Don't rush through the exploration phase