Board Game Choices Explored

Posted on Dec 3, 2020

Board Game Choices Explored

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

Introduction to Board Games​

Board games have been on the rise since 2012. ​​​​A Star, Will Wheaton, created a 'Table Top' show on YouTube, where he gathers with his friends around a table and plays a board game. Your favorite Barnes and Noble has a wall dedicated to games for all age categories. There are board game cafes and stations. Due to a huge variety of choices, it might be tricky to select a game for one of these places. The audiences come from vast backgrounds and, in general, people have different tastes.

Names Total Votes Average Board Game Category
7 Wonders Duel 564 8.1 'Ancient', 'Card Game', 'City Building', 'Civilization'
The 7th Continent 422 8.3 Adventure', 'Card Game', 'Exploration', 'Science Fiction'
Concordia 374 8.1 'Ancient', 'Economic', 'Nautical'
The Castles of Burgundy 1037 8.1 'Dice', 'Medieval', 'Territory Building'

 

Data Analysis​

Let's explore a dataset of 20,000 games. The table above contains the columns I'm going to talk about.

Each game in the said dataset receives a number of votes (see 'total votes' column). We'll dismiss the games that don't have sufficient data, leaving those with more than a hundred votes. Next, let's look at the ratings for each game. The fans submit a vote for a game on a scale of 1-10, that's been averaged and inputted into the dataset. This column is called 'average'. Let's dismiss the games that have less than 6 points on them. The dataset shrank to 950 games in total.

There's a column called 'board game category'. Each game is listed under several categories. If we group, the whole dataset by categories we may find out the most popular categories and select the top ten. However, some of these categories are very niche and encounter 3 or fewer games. This could be avoided if we show a dependency of the highest voted categories on their popularity so to speak, meaning the number of games listed under it.

Finally, after arriving at the top ten best board games categories we can easily select the top ten games within each of the category. Tada, the work is done. The link to my Shiny-Project GitHub is here

My Shiny app can be found here

Created for tik-tok anticafe

Thank you for reading,

Khamanna

About Author

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 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