| Type: | Package |
| Title: | Datasets from the Survival TV Series Alone |
| Version: | 0.7 |
| Description: | A collection of datasets on the Alone survival TV series in tidy format. Included in the package are 4 datasets detailing the survivors, their loadouts, episode details and season information. |
| Depends: | R (≥ 4.1.0) |
| Suggests: | dplyr, ggplot2, forcats |
| License: | CC0 |
| URL: | https://github.com/doehm/alone |
| BugReports: | https://github.com/doehm/alone/issues |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 7.2.3 |
| NeedsCompilation: | no |
| Packaged: | 2025-09-07 05:50:50 UTC; danie |
| Author: | Daniel Oehm [aut, cre], Carly Levitz [ctb] |
| Maintainer: | Daniel Oehm <danieloehm@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2025-09-07 22:00:46 UTC |
Episodes
Description
Contains details of each episode including the title, number of viewers, beginning quote and IMDb rating
Usage
episodes
Format
This data frame contains the following columns:
versionCountry code for the version of the show
seasonThe season number
episode_number_overallEpisode number across seasons
episodeEpisode number
titleEpisode title
day_startThe day the episode started on
n_remainingHow are remaining at the start of the episode
air_dateDate the episode originally aired
viewersNumber of viewers in the US (millions)
quoteThe beginning quote
authorAuthor of the beginning quote
imdb_ratingIMDb rating of the episode
n_ratingsNumber of ratings given for the episode
descriptionDescription of the episode from IMDb
Source
https://en.wikipedia.org/wiki/List_of_Alone_episodes#Season_1_(2015)_-_Vancouver_Island
Examples
library(dplyr)
library(ggplot2)
episodes |>
ggplot(aes(episode_number_overall, viewers, colour = as.factor(season))) +
geom_line()
Loadouts
Description
Information on each survivalists loadout of 10 items
Usage
loadouts
Format
This data frame contains the following columns:
versionCountry code for the version of the show
seasonThe season number
idSurvivalist ID
nameName of the survivalist
item_numberItem number
item_detailedDetailed loadout item description
itemLoadout item. Simplified for aggregation
Source
https://en.wikipedia.org/wiki/Alone_(TV_series)
Examples
library(dplyr)
library(ggplot2)
library(forcats)
loadouts |>
count(item) |>
mutate(item = fct_reorder(item, n, max)) |>
ggplot(aes(item, n)) +
geom_col() +
geom_text(aes(item, n + 3, label = n)) +
coord_flip()
Seasons
Description
Season summary includes location and other season level information
Usage
seasons
Format
This data frame contains the following columns:
versionCountry code for the version of the show
seasonThe season number
subtitleSeason subtitle
locationLocation
countryCountry
regionRegion
n_survivorsNumber of survivors. Season 4 there were 7 teams of 2.
latLatitude
lonLongitude
date_drop_offDate the survivors where dropped off
Source
https://en.wikipedia.org/wiki/Alone_(TV_series)
Examples
library(dplyr)
seasons |>
count(country)
Survivalists
Description
Contains details of each survivalist including demographics and results.
Usage
survivalists
Format
This data frame contains the following columns:
versionCountry code for the version of the show
seasonThe season number
idSurvivalist ID
nameName of the survivalist
first_nameFirst name of the survivalist
last_nameLast name of the survivalist
ageAge of survivalist
genderGender
cityCity
stateState
countryCountry
resultPlace the survivalist finished in the season
days_lastedThe number of days lasted in the game before tapping out or winning
medically_evacuatedLogical. If the survivalist was medically evacuated from the game
reason_tapped_outThe reason the survivalist tapped out of the game.
NAmeans they were the winnerreason_categoryA simplified category of the reason for tapping out
episode_tappedEpisode tapped out
teamThe team they were associated with (only for season 4)
day_linked_upDay the team members linked up
professionProfession
Source
https://en.wikipedia.org/wiki/List_of_Alone_episodes#Season_1_(2015)_-_Vancouver_Island
Examples
library(dplyr)
library(ggplot2)
survivalists |>
count(reason_category, gender) |>
filter(!is.na(reason_category)) |>
ggplot(aes(reason_category, n, fill = gender)) +
geom_col()