Project Description

Candy Crush Saga is a hit mobile game developed by King (part of Activision|Blizzard) that is played by millions of people all around the world. If you are one of the few that haven't played Candy Crush, here's a short demo:

In this project you will get to work with a real Candy Crush data set and use this data to estimate level difficulty. This project assumes you can manipulate data frames using dplyr and make simple plots using ggplot2. You can learn these skills in the course Introduction to the Tidyverse.

Project Tasks

  • 1 Candy Crush Saga
  • 2 The data set
  • 3 Checking the data set
  • 4 Computing level difficulty
  • 5 Plotting difficulty profile
  • 6 Spotting hard levels
  • 7 Computing uncertainty
  • 8 Showing uncertainty
  • 9 A final metric
  • 10 Should our level designer worry?
Rasmus Bååth
Rasmus Bååth

Senior Data Scientist at King (Activision Blizzard)

I'm a Data Scientist at King (Activision/Blizzard) and previously I've been an instructor at DataCamp. I once did a PhD in Cognitive Science at Lund University. I'm passionate about Bayesian statistics, good graphs and free coffee. Follow me @rabaath on Twitter or check out my blog, Publishable Stuff.

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Xavier  Guardiola
Xavier Guardiola

Lead Data Scientist at King (Activision Blizzard)

Xavier Guardiola is a PhD in Physics working now as lead data scientist at King, where he tries to make use of the data generated by millions of players to help making games even more fun. Before that, he was promoting and applying data science in several start-ups. You can follow him on Twitter at @xguardi.

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