[Candy Crush Saga](https://king.com/game/candycrush) 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`.
- 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?
Senior Data Scientist at King (Activision Blizzard)
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.