The Data Science of Binge-watching: Netflix

Posted on Jun 6, 2016
The skills the author demoed here can be learned through taking Data Science with Machine Learning bootcamp with NYC Data Science Academy.
Contributed by Wanda Wang. She  is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between April 11th to July 1st, 2016. This post is based on her third class project - Python Web Scraping (due on the 6th week of the program).


When were you "hooked" on House of Cards? The 3rd episode? When did you stop? (Was it when the pet dog passed ?) Amidst this current era of peak TV, shows on Netflix have permeated our everyday lives - taking up our ever-increasing attention. When evaluating new content deals or show renewals, Netflix measures for high engagement - namely, the expected hours of viewing for each single piece of content. The recommendation algorithm behind Netflix even utilizes Collaborative Filtering, which finds content suitable to your unique tastes, based on a similar group of people's tastes. Since I believe that my tastes are quite eclectic - I hope to gather data insights into my own streaming history.


Working with Python, I applied Selenium to complete the web-scraping task. Selenium simulated user-clicks, allowing me to quickly progress through several web pages in a seamless manner. The steps I followed are outlined below:

1) Login Screen - User Profile

The Data Science of Binge-watching: Netflix

<script src=""></script>

2) Site Navigation - Viewing History

The Data Science of Binge-watching: Netflix

3) URL generation - per unique view

4) Retrieving unique data points


How many shows did I binge-watch/ How often did I binge-watch?

Which shows did I binge-watch the most?

Is there a particular genre or actor I stuck to?

Challenges included deciphering the modern web language tags within the site.


The Data Science of Binge-watching: Netflix

Screen Shot 2016-06-10 at 8.54.44 AM

Screen Shot 2016-06-12 at 10.47.41 AM

Data Analysis

Over the course of the year, I initially indulged in many episodes of Friends. Walking Dead was next. The difference in pace and genre of both shows demonstrates that binging is informally independent of that, as least for me.


As cord-cutters increasingly become more reliant on streaming for their TV fix - we'll likely see more research studies examining the exact moment we become "hooked". Was it a particular genre, number of episodes, unique to the actual content - an action scene, a storyline that held onto our attention?

About Author

Wanda Wang

Wanda is excited about combining data science with compelling narratives to uncover new enterprise opportunities. With 5+ years of experience in the Investment Management field, including at both Citigroup and JPMorgan - Wanda thrives in demanding, client-driven environments...
View all posts by Wanda Wang >

Related Articles

Leave a Comment

No comments found.

View Posts by Categories

Our Recent Popular Posts

View Posts by Tags

#python #trainwithnycdsa 2019 2020 Revenue 3-points agriculture air quality airbnb airline alcohol Alex Baransky algorithm alumni Alumni Interview Alumni Reviews Alumni Spotlight alumni story Alumnus ames dataset ames housing dataset apartment rent API Application artist aws bank loans beautiful soup Best Bootcamp Best Data Science 2019 Best Data Science Bootcamp Best Data Science Bootcamp 2020 Best Ranked Big Data Book Launch Book-Signing bootcamp Bootcamp Alumni Bootcamp Prep boston safety Bundles cake recipe California Cancer Research capstone car price Career Career Day citibike classic cars classpass clustering Coding Course Demo Course Report covid 19 credit credit card crime frequency crops D3.js data data analysis Data Analyst data analytics data for tripadvisor reviews data science Data Science Academy Data Science Bootcamp Data science jobs Data Science Reviews Data Scientist Data Scientist Jobs data visualization database Deep Learning Demo Day Discount disney dplyr drug data e-commerce economy employee employee burnout employer networking environment feature engineering Finance Financial Data Science fitness studio Flask flight delay gbm Get Hired ggplot2 googleVis H20 Hadoop hallmark holiday movie happiness healthcare frauds higgs boson Hiring hiring partner events Hiring Partners hotels housing housing data housing predictions housing price hy-vee Income Industry Experts Injuries Instructor Blog Instructor Interview insurance italki Job Job Placement Jobs Jon Krohn JP Morgan Chase Kaggle Kickstarter las vegas airport lasso regression Lead Data Scienctist Lead Data Scientist leaflet league linear regression Logistic Regression machine learning Maps market matplotlib Medical Research Meet the team meetup methal health miami beach movie music Napoli NBA netflix Networking neural network Neural networks New Courses NHL nlp NYC NYC Data Science nyc data science academy NYC Open Data nyc property NYCDSA NYCDSA Alumni Online Online Bootcamp Online Training Open Data painter pandas Part-time performance phoenix pollutants Portfolio Development precision measurement prediction Prework Programming public safety PwC python Python Data Analysis python machine learning python scrapy python web scraping python webscraping Python Workshop R R Data Analysis R language R Programming R Shiny r studio R Visualization R Workshop R-bloggers random forest Ranking recommendation recommendation system regression Remote remote data science bootcamp Scrapy scrapy visualization seaborn seafood type Selenium sentiment analysis sentiment classification Shiny Shiny Dashboard Spark Special Special Summer Sports statistics streaming Student Interview Student Showcase SVM Switchup Tableau teachers team team performance TensorFlow Testimonial tf-idf Top Data Science Bootcamp Top manufacturing companies Transfers tweets twitter videos visualization wallstreet wallstreetbets web scraping Weekend Course What to expect whiskey whiskeyadvocate wildfire word cloud word2vec XGBoost yelp youtube trending ZORI