🎬 I Spent Hours Stalking Netflix… But For Data!

Ever wondered what Netflix has been up to all these years (besides asking if you're still watching)?Well, I decided to find out, not by binge-watching, but by analyzing 8,807 titles using Power BI. Yeah, my screen time was 100% productive this time.

The Mission

I wanted to see what Netflix actually loves, movies, shows, or confusing us with “limited series.” So I grabbed the Netflix dataset and did what any data nerd would do, opened Power BI, cracked my knuckles, and said, “Let’s find some drama.”

Data Drama

Before I could even make a single chart, I had to clean the data.Some titles didn’t have release years, some had three countries, and others… well, didn’t even know their own genre.Power Query was my therapist that day, listening patiently while I fixed every null and weird format.

What I Found

• Turns out, Netflix LOVES the 2010s, they added nearly 6,000 titles in that decade.

• Friday is the favorite release day (because who doesn’t want to drop a show right before the weekend?).

• Most of the content is rated TV-MA or TV-14, so yeah, Netflix definitely trusts us with adult content.

• The US and India are Netflix’s powerhouses. Basically, Bollywood and Hollywood are the backbone of binge culture.

  

The Dashboard

After hours of wrangling, cleaning, and redoing visuals because “it didn’t vibe,” I finally made a clean, colorful dashboard showing:

• Top genres

• Content by decade

• Country-wise distribution

• Ratings

• And even the day Netflix likes to break our hearts with cliffhangers

Final Thoughts

Some people relax by watching Netflix.I relax by analyzing Netflix.

So next time you hit “Play next episode”, just remember, someone out there is turning that into a bar chart. (Hi 👋 that’s me.)

Check It Out

You can explore the full project (with visuals that actually make sense) on my [portfolio web] and no spoilers, I promise.