Understanding the Impact of Content Duration on Netflix's Top 10 Lists

🧭 Role: Anàlisi
🗂️ Area: Data Science
📅 Year: 2025
👤 Client: GalaDesa
🧩 Stack: Python
📝 Credits: Gloc from GalaDesa

Results / Insights

· EDA with key metrics
· Insight-driven charts
· Actionable conclusions

Scenario

Understanding the Impact of Content Duration on Netflix’s Top 10 Lists

Background

As a data scientist at Netflix, you’re tasked with exploring the dataset containing weekly top 10 lists of the most-watched TV shows and films. For example, you’re tasked to find out what the relationship is between duration and ranking over time. Answering this question can inform content creators and strategists on how to optimize their offerings for the platform.

Objective

Determine if there’s a correlation between content duration and its likelihood of making it to the top 10 lists.