NYC Data Science Academy| Blog
Bootcamps
Lifetime Job Support Available Financing Available
Bootcamps
Data Science with Machine Learning Flagship 🏆 Data Analytics Bootcamp Artificial Intelligence Bootcamp New Release 🎉
Free Lesson
Intro to Data Science New Release 🎉
Find Inspiration
Find Alumni with Similar Background
Job Outlook
Occupational Outlook Graduate Outcomes Must See 🔥
Alumni
Success Stories Testimonials Alumni Directory Alumni Exclusive Study Program
Courses
View Bundled Courses
Financing Available
Bootcamp Prep Popular 🔥 Data Science Mastery Data Science Launchpad with Python View AI Courses Generative AI for Everyone New 🎉 Generative AI for Finance New 🎉 Generative AI for Marketing New 🎉
Bundle Up
Learn More and Save More
Combination of data science courses.
View Data Science Courses
Beginner
Introductory Python
Intermediate
Data Science Python: Data Analysis and Visualization Popular 🔥 Data Science R: Data Analysis and Visualization
Advanced
Data Science Python: Machine Learning Popular 🔥 Data Science R: Machine Learning Designing and Implementing Production MLOps New 🎉 Natural Language Processing for Production (NLP) New 🎉
Find Inspiration
Get Course Recommendation Must Try 💎 An Ultimate Guide to Become a Data Scientist
For Companies
For Companies
Corporate Offerings Hiring Partners Candidate Portfolio Hire Our Graduates
Students Work
Students Work
All Posts Capstone Data Visualization Machine Learning Python Projects R Projects
Tutorials
About
About
About Us Accreditation Contact Us Join Us FAQ Webinars Subscription An Ultimate Guide to
Become a Data Scientist
    Login
NYC Data Science Acedemy
Bootcamps
Courses
Students Work
About
Bootcamps
Bootcamps
Data Science with Machine Learning Flagship
Data Analytics Bootcamp
Artificial Intelligence Bootcamp New Release 🎉
Free Lessons
Intro to Data Science New Release 🎉
Find Inspiration
Find Alumni with Similar Background
Job Outlook
Occupational Outlook
Graduate Outcomes Must See 🔥
Alumni
Success Stories
Testimonials
Alumni Directory
Alumni Exclusive Study Program
Courses
Bundles
financing available
View All Bundles
Bootcamp Prep
Data Science Mastery
Data Science Launchpad with Python NEW!
View AI Courses
Generative AI for Everyone
Generative AI for Finance
Generative AI for Marketing
View Data Science Courses
View All Professional Development Courses
Beginner
Introductory Python
Intermediate
Python: Data Analysis and Visualization
R: Data Analysis and Visualization
Advanced
Python: Machine Learning
R: Machine Learning
Designing and Implementing Production MLOps
Natural Language Processing for Production (NLP)
For Companies
Corporate Offerings
Hiring Partners
Candidate Portfolio
Hire Our Graduates
Students Work
All Posts
Capstone
Data Visualization
Machine Learning
Python Projects
R Projects
About
Accreditation
About Us
Contact Us
Join Us
FAQ
Webinars
Subscription
An Ultimate Guide to Become a Data Scientist
Tutorials
Data Analytics
  • Learn Pandas
  • Learn NumPy
  • Learn SciPy
  • Learn Matplotlib
Machine Learning
  • Boosting
  • Random Forest
  • Linear Regression
  • Decision Tree
  • PCA
Interview by Companies
  • JPMC
  • Google
  • Facebook
Artificial Intelligence
  • Learn Generative AI
  • Learn ChatGPT-3.5
  • Learn ChatGPT-4
  • Learn Google Bard
Coding
  • Learn Python
  • Learn SQL
  • Learn MySQL
  • Learn NoSQL
  • Learn PySpark
  • Learn PyTorch
Interview Questions
  • Python Hard
  • R Easy
  • R Hard
  • SQL Easy
  • SQL Hard
  • Python Easy
Data Science Blog > Student Works > Moneyball for Movies

Moneyball for Movies

chris_wilson
Posted on Sep 25, 2024

Link to the project https://christopherwilson.shinyapps.io/hello_shiny/ 

Link to github https://github.com/jackparsons93/r_shiny_imdb_movies

 

Say, you want to produce a movie. What can you do to put the odds of success in your favor? You can look at the features of other successful movies and then plan to apply them to the one you’re producing. That’s the  goal of the R Shiny  app I built – to help movie makers best decide which movies are going to make money and be audience favorites by identifying what successful movies have in common from the Kaggle dataset of the top 1000 movies on  IMDB.  

 

Within the dataset is  IMDb Score which is a voting system of IMDb users, metascore which is film reviews from professional critics, number of votes which is the total number of votes from the IMDb community. It also has the records of gross revenue and net gross, which is the sum of the revenue from all movies in a category. The app doesn’t just provide a viewer for actors and directors but identifies  the top movies, top directors, top genres, and top actors from the most successful films. You can consider a “Moneyball” approach to movies.

 

Let’s start off by looking at a couple of word clouds.The top word cloud is the top movies by revenue in the dataset.  The top grossing movie in the dataset is “Star Wars: Episode VII.” As you can see,  the font is proportional to the amount the movie grossed, so the Star Wars movie is in the largest font. There was no director that outstripped the others to the same degree, which is why no one director’s name stands out as much in the second word cloud.  

 

The word cloud immediately above is directors ranked by IMDb score

 

 

Now let’s take a look at some of the navigation features of the app.

The illustration above is the top navigation pane of my application.  We have word clouds as we have already seen for the landing page, followed by director viewer, actor viewer and so on.

Here we have the left hand panel of the directors tab where we can select a director and a particular criterion as well.

The above image shows the 4 different criteria we can choose from after selecting a director and a criterion. We will see the bar plot in the right of the panel show bar charts for the directors movies.

This is the bar chart for one of the special directors, Darren Aronofsky.  It shows the meta score, (a cumulative score of movies from professional critics) of his 3 movies in the dataset.

 

The next tab in my R shiny app is the actors tab where we can select any actor from the dataset and check out the same selection criteria as directors.  The illustration below shows  the results for Tom Cruise, which includes  the gross earnings for all his movies in the dataset.

 

In the next tab of my IMDb movie explorer, we have genre analysis. Below is a bubble chart where the genre is color-coded and the gross revenue of the movie is proportional to the size of the bubble.

As this is consistent with the word cloud shared above, , “Star Wars episode 7” is the biggest bubble.  This view shows the details revealed when it is hovered over.

 

In the next tab of the IMDb movie explorer, we see combined plots that shows 3 different plots: a violin plot of IMDb ratings across different genres, a scatter plot of IMDb score and revenue, and (shown below) a correlation plot between IMDb scores and meta scores.

 

 

On the next tab of the IMDb movie explorer we see top movies, and we can select by the same criteria as above: gross, metascore, imdb rating, and number of votes.  There is also a slider that allows you to select how many movies you would like the bar chart to show.

Here is shown the top 25 movies by gross.

 

In the next tab we have top directors.  The 5 criteria available for selection are , shown below.

There is also a slider that allows you to choose how many directors you would like to show in the bar chart. Below is an image that shows the top 25 directors by net gross.

In the next tab we have top actors that have the same 5 criteria for selection as directors and has the same slider for selecting how many actors you would like the bar chart to display.

Here we can see the top actor by gross receipts is Robert Downey Jr., followed by Tom Hanks.

 

In the final tab of my IMDb movie explorer, we have franchise analysis and we can select among  Harry Potter, Lord of the Rings, or Star Wars in light of  3 criteria: gross revenue, meta score and IMBd score for all 3 franchises.Here is a screenshot of the Lord of the Rings franchise with meta score selected.

 

Conclusion

 

Running this app gives insights into which genres, actors, and directors correlate with higher revenue. On Genres, Sci-fi and adventure have the highest revenue and vote., IMDb score has some correlation to profit but a small one, so better ranked movies do not really make more profit.  The directors most associated with success are Steven Spielberg and Anthony Russo. The top-grossing actors are Robert Downey Jr. or Tom Hanks. Of course, you’d also have to have the budget to hire these top names and a role that would interest them.  

 

Where to go from here

 

 I hope that this data will help filmmakers in the future decide which movies to make for profit and also to win the hearts and minds of its viewers.   Also, I could use the aggregate of the description of top movies to send to an AI to make new movie ideas perhaps using an LLM. It may be possible in future to have the generative AI offer suggestions for the storyline, script, and even casting based on data analytics. Down the road, these movies may even be produced by individuals who use   advances in technology  like OpenAI’s Sora  to produce movies without actors and sets, opening up new possibilities for the film industry’s evolution. 

About Author

chris_wilson

I used to be an amateur ruby on rails programmer, but rails is dead except for senior programmers. I also have a background in mathematics, I used to do very well in math tournaments as a youngster, I...
View all posts by chris_wilson >

Leave a Comment

No comments found.

View Posts by Categories

All Posts 2399 posts
AI 7 posts
AI Agent 2 posts
AI-based hotel recommendation 1 posts
AIForGood 1 posts
Alumni 60 posts
Animated Maps 1 posts
APIs 41 posts
Artificial Intelligence 2 posts
Artificial Intelligence 2 posts
AWS 13 posts
Banking 1 posts
Big Data 50 posts
Branch Analysis 1 posts
Capstone 206 posts
Career Education 7 posts
CLIP 1 posts
Community 72 posts
Congestion Zone 1 posts
Content Recommendation 1 posts
Cosine SImilarity 1 posts
Data Analysis 5 posts
Data Engineering 1 posts
Data Engineering 3 posts
Data Science 7 posts
Data Science News and Sharing 73 posts
Data Visualization 324 posts
Events 5 posts
Featured 37 posts
Function calling 1 posts
FutureTech 1 posts
Generative AI 5 posts
Hadoop 13 posts
Image Classification 1 posts
Innovation 2 posts
Kmeans Cluster 1 posts
LLM 6 posts
Machine Learning 364 posts
Marketing 1 posts
Meetup 144 posts
MLOPs 1 posts
Model Deployment 1 posts
Nagamas69 1 posts
NLP 1 posts
OpenAI 5 posts
OpenNYC Data 1 posts
pySpark 1 posts
Python 16 posts
Python 458 posts
Python data analysis 4 posts
Python Shiny 2 posts
R 404 posts
R Data Analysis 1 posts
R Shiny 560 posts
R Visualization 445 posts
RAG 1 posts
RoBERTa 1 posts
semantic rearch 2 posts
Spark 17 posts
SQL 1 posts
Streamlit 2 posts
Student Works 1687 posts
Tableau 12 posts
TensorFlow 3 posts
Traffic 1 posts
User Preference Modeling 1 posts
Vector database 2 posts
Web Scraping 483 posts
wukong138 1 posts

Our Recent Popular Posts

AI 4 AI: ChatGPT Unifies My Blog Posts
by Vinod Chugani
Dec 18, 2022
Meet Your Machine Learning Mentors: Kyle Gallatin
by Vivian Zhang
Nov 4, 2020
NICU Admissions and CCHD: Predicting Based on Data Analysis
by Paul Lee, Aron Berke, Bee Kim, Bettina Meier and Ira Villar
Jan 7, 2020

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 ChatGPT 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 football 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 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

NYC Data Science Academy

NYC Data Science Academy teaches data science, trains companies and their employees to better profit from data, excels at big data project consulting, and connects trained Data Scientists to our industry.

NYC Data Science Academy is licensed by New York State Education Department.

Get detailed curriculum information about our
amazing bootcamp!

Please enter a valid email address
Sign up completed. Thank you!

Offerings

  • HOME
  • DATA SCIENCE BOOTCAMP
  • ONLINE DATA SCIENCE BOOTCAMP
  • Professional Development Courses
  • CORPORATE OFFERINGS
  • HIRING PARTNERS
  • About

  • About Us
  • Alumni
  • Blog
  • FAQ
  • Contact Us
  • Refund Policy
  • Join Us
  • SOCIAL MEDIA

    © 2025 NYC Data Science Academy
    All rights reserved. | Site Map
    Privacy Policy | Terms of Service
    Bootcamp Application