Netflix-content-analysis

Project Overview

Analysis of Netflix's content library to uncover trends in content type, country of origin, genre distribution, and growth patterns over time.

Business Questions Answered

• How has Netflix's content mix evolved over time?
• Which countries dominate Netflix's library?
• What genres are most represented?
• When does Netflix release most new content?

Tools Used

• Python 3
• Pandas (advanced — pivot tables, apply, string ops)
• Matplotlib & Seaborn
• Jupyter Notebook

Findings:

• Netflix has a higher proportion of Movies compared to TV Shows, and movies have consistently dominated the platform over time.

• The United States is the leading contributor of Netflix content, especially in movies.

• The most common genres on Netflix are:

• • Drama
  • Comedy
  • Action & Adventure
  • Documentaries
  • International TV Shows

• July (7th month) has the highest number of content additions, indicating a seasonal release pattern.

• Netflix started adding content around 2008

  • From 2008 to 2019, steady growth in content additions
  • From 2019 to 2021, noticeable decline

  This could be due to:

  • Market saturation
  • External factors (like production slowdowns)