survivoR (version 2.3.5)

challenge_results: 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

version

Country code for the version of the show

version_season

Version season key

season_name

The season name

season

The season number

episode

Episode number

n_boots

The 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_id

ID 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).

castaway

Name 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_type

Whether the challenge is individual or tribal. Some individual reward challenges may involve multiple castaways as the winner gets to choose who they bring along

tribe

Current tribe the castaway is on

tribe_status

The status of the tribe e.g. original, swapped, merged, etc. See details for more

challenge_type

The challenge type e.g. immunity, reward, etc

challenge_id

Primary key to the challenge_description data set which contains features of the challenge

result

Result of challenge

result_notes

Additional notes about the result of the challenge

order_of_finish

Order 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_reward

If after the reward challenge the castaway was chosen to participate in the reward

sit_out

TRUE if they sat out of the challenge or FALSE if they participate

team

Team allocation when they are split into teams

sog_id

Stage of game ID for joining to boot_mapping and vote_history

Examples

library(dplyr)
library(tidyr)
challenge_results %>%
  filter(season == 40)