confessionals: Confessionals

Description

A dataset containing the count of confessionals per castaway per episode. A confessional is when the castaway is speaking directly to the camera about their game.

Usage

confessionals

Arguments

Format

This data frame contains the following columns:

version: Country code for the version of the show
version_season: Version season key
season: The season number
episode: Episode number
castaway: Name of the castaway
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.
confessional_count: The count of confessionals for the castaway during the episode
confessional_time: The total time for all confessionals for the episode for each castaway
exp_count: The expected confessional counts. See details.
exp_time: The expected confessional time. See details.

Details

Confessional data has been counted by contributors of the survivoR R package and consolidated with external sources. The aim is to establish consistency in confessional counts in the absence of official sources. Given the subjective nature of the counts and the potential for clerical error no single source is more valid than another. Therefore, it is reasonable to average across all sources.

In the case of double or extended episodes, if the episode only has one title it is considered a single episode. This means the average number of confessionals per person is likely to be higher for this episode given it's length. If there are two episode titles the confessionals are counted for the appropriate episode. This is to ensure consistency across all other datasets.

In the case of recap episodes, this episode is left blank.

The fields exp_count and exp_time are the expected values given the game events. For example players that attend tribal council, find advantages, go on rewards, and if it's their boot episode typically get more confessionals - we should expect them to get more as well. This enables analysis of the observed and expected confessionals and those that received more or fewer than expected.

If you also count confessionals, please get in touch and I'll add them into the package.