Premium Project

Level Difficulty in Candy Crush Saga

Analyze data from the hit mobile game, Candy Crush Saga.

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  • 10 tasks
  • 4,659 participants
  • 1,500 XP

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.

In this Project, you will get to work with a real Candy Crush dataset and use this data to estimate level difficulty.

This Project assumes you can manipulate data frames using dplyr and make plots using ggplot2. You can learn these skills in Introduction to the Tidyverse and Intermediate Data Visualization with ggplot2

Project Tasks

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

Senior Data Scientist at King (Activision Blizzard)

Rasmus Bååth is a Senior Data Scientist at King. Previously, he was an instructor and Curriculum Lead for Projects at DataCamp. He has a PhD in Cognitive Science from Lund University in Sweden. Follow him at @rabaath on Twitter or on his blog, Publishable Stuff.

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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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Technology

  • R LogoR
  • Topics

    Data ManipulationData VisualizationImporting & Cleaning Data