| challenge_results {survivoR} | R Documentation |
Challenge Results
Description
A dataset detailing the challenges played including reward and immunity challenges.
Usage
challenge_results
Format
This data frame contains the following columns
versionCountry code for the version of the show
version_seasonVersion season key
season_nameThe season name
seasonThe season number
episodeEpisode number
n_bootsThe number of boots that there have been in the game e.g. if 'n_boots == 2' there have been 2 boots in the game so far and there are N-2 castaways left in the game
castaway_idID of the castaway (primary key). Consistent across seasons and name changes e.g. Amber Brkich / Amber Mariano. The first two letters reference the country of the version played e.g. US, AU (TBA).
castawayName of castaway. Generally this is the name they were most commonly referred to or nickname e.g. no one called Coach, Benjamin. He was simply Coach
outcome_typeWhether the challenge is individual or tribal. Some individual reward challenges may involve multiple castaways as the winner gets to choose who they bring along
tribeCurrent tribe the castaway is on
tribe_statusThe status of the tribe e.g. original, swapped, merged, etc. See details for more
challenge_typeThe challenge type e.g. immunity, reward, etc
challenge_idPrimary key to the
challenge_descriptiondata set which contains features of the challengeresultResult of challenge
result_notesAdditional notes about the result of the challenge
order_of_finishOrder of finish for tribal challenges. Useful when there are 3 or more tribes to see who actually came first, second and who lost the challenge.
chosen_for_rewardIf after the reward challenge the castaway was chosen to participate in the reward
sit_outTRUEif they sat out of the challenge orFALSEif they participateteamTeam allocation when they are split into teams
sog_idStage of game ID for joining to
boot_mappingandvote_history
Source
https://en.wikipedia.org/wiki/Survivor_(American_TV_series) https://survivor.fandom.com/wiki/Main_Page
Examples
library(dplyr)
library(tidyr)
challenge_results %>%
filter(season == 40)