Data Study on Mobile Gaming Apps

Posted on Aug 12, 2018

The skills the author demoed here can be learned through taking Data Science with Machine Learning bootcamp with NYC Data Science Academy.

Data Study on Mobile Gaming Apps


In today's modern industry, one of the pivotal points in our lives is our smartphone. Data shows we spend an exponential amount of time on our phones and the activities we choose to do with them may vary, but the consistency in it all is the amount of games the general population plays. In just the apple app store, there are over 800,000 games available for download. Which really puts an emphasis on how much people have a desire to play games. It is safe to say, that the industry in mobile gaming apps, is booming.

My interest in this topic stemmed from the amount of games I interact when I am trying to kill time or even when I just want to relax. This game me an insight on how popular mobile gaming apps are and that I have a passion for what I have played with in my lifetime. Even though I have played with a numerous amount of games, I have barely even scratched the surface of the content out in the market. After some research, my curiosity grew more on the topic and wanted to share the knowledge I've obtained in my research


I wanted to start this project off by giving myself a challenge by web scraping something big, scraping the entire app store of all its mobile games. Collecting data such as: name, size of the app, genre, price of the game, how much in-app purchases were. This data collection with scrapy to take all of the fields requested and take 250,000K+ apps would take a little over 4 days to complete. I had to get creative and settle for some of the most popular games along side of the fields I scraped.


After some EDA, I discovered that only a small percentage of apps are considered popular. With a high volume of gaming apps, there are only a couple hundred that are considered to be popular. However, only one game stood out beyond all other apps with an astounding 2.2M reviews and a 4.6 rating...Fortnite. It is a well known sense that Fortnite would obviously be the top game, but I did not considered by how vastly much the difference was. The chart below displays how over 200 games compare to Fortnite in the runnings. That being the only one in its own area.

Data Study on Mobile Gaming Apps

Comparing this to the mean of both average rating reviews and number of review below.

Data Study on Mobile Gaming Apps

Average Number of Reviews is 10,000

Average Rating Reviews is 4.45


These results show in order for an app to be popular, it needs to have at least 10,000 reviews and 4.45 average rating. If a company wanted to find a way to get their app to be under the popular category, they would need to be able to obtain those stats. However, obtaining that type level of achievement is fairly difficult and wish I had enough time and resource to explain what was needed to reach that for new/growing gaming apps. I would consider factors such as their UI, marketing scheme, weekly/monthly revenue, frequent updates and their customer loyalty. This would help me analyze the requirements needed help a start up/growing app to be truly successful.

About Author

Richie Bui

Richie Bui has experienced knowledge working with collecting, processing and capturing large datasets while working with Medtronic the past 3 years. Closely working with his colleagues in engineering, product management, and bio-statisticians to gather information on the medical...
View all posts by Richie Bui >

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