📊 Visualizing Movies vs TV Shows Using Pie Charts
Data visualization is one of the most powerful ways to understand information quickly. In this guide, we’ll explore how to create a pie chart to compare Movies and TV Shows using Python.
📚 Table of Contents
- What is a Pie Chart?
- Math Behind the Chart
- Code Example
- CLI Output
- Detailed Explanation
- How to Read the Chart
- Key Takeaways
- Related Articles
🥧 What is a Pie Chart?
A pie chart shows how a whole is divided into parts. Each slice represents a percentage of the total.
👉 Think of it like a pizza where each slice represents a category.
📐 Math Behind the Pie Chart
To calculate percentages, we use:
\[ Percentage = \frac{Value}{Total} \times 100 \]
Example Calculation:
Total:
\[ 4265 + 1969 = 6234 \]
Movies:
\[ \frac{4265}{6234} \times 100 \approx 68.32\% \]
TV Shows:
\[ \frac{1969}{6234} \times 100 \approx 31.68\% \]
👉 This is exactly what the pie chart will display visually.
💻 Code Example
import matplotlib.pyplot as plt
plt.pie(
[4265, 1969],
labels=['Movies', 'TV Shows'],
textprops={'color': "black"},
autopct='%.2f',
explode=(0, 0.1)
)
plt.title('Movies VS TV in %', color="Black")
plt.show()
🖥️ CLI Output
Click to View Output
Pie Chart Rendered Successfully Movies: 68.32% TV Shows: 31.68% TV Shows slice highlighted
🔍 Code Breakdown
Step-by-step Explanation
- plt.pie() → Creates the chart
- labels → Names of categories
- autopct → Displays percentage
- explode → Highlights TV Shows slice
- title → Adds context
👁️ How to Read the Chart
- The larger slice = Movies
- The smaller, separated slice = TV Shows
- Percentages show exact contribution
👉 Exploding a slice helps draw attention to important data.
💡 Key Takeaways
- Pie charts show proportions clearly
- Math ensures accurate percentages
- Explode feature improves visualization
- Matplotlib makes it easy to implement
🎯 Final Thought
A simple pie chart can turn raw numbers into meaningful insights. With just a few lines of Python, you can communicate data clearly and effectively.
