Type: | Package |
Title: | Datasets from the Survival TV Series Alone |
Version: | 0.6 |
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: | 2025-06-12 19:47:24 UTC; danie |
Author: | Daniel Oehm [aut, cre], Carly Levitz [ctb] |
Maintainer: | Daniel Oehm <danieloehm@gmail.com> |
Repository: | CRAN |
Date/Publication: | 2025-06-12 20:00:02 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:
version
Country code for the version of the show
season
The season number
episode_number_overall
Episode number across seasons
episode
Episode number
title
Episode title
day_start
The day the episode started on
n_remaining
How are remaining at the start of the episode
air_date
Date the episode originally aired
viewers
Number of viewers in the US (millions)
quote
The beginning quote
author
Author of the beginning quote
imdb_rating
IMDb rating of the episode
n_ratings
Number of ratings given for the episode
description
Description 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:
version
Country code for the version of the show
season
The season number
id
Survivalist ID
name
Name of the survivalist
item_number
Item number
item_detailed
Detailed loadout item description
item
Loadout 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:
version
Country code for the version of the show
season
The season number
subtitle
Season subtitle
location
Location
country
Country
region
Region
n_survivors
Number of survivors. Season 4 there were 7 teams of 2.
lat
Latitude
lon
Longitude
date_drop_off
Date 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:
version
Country code for the version of the show
season
The season number
id
Survivalist ID
name
Name of the survivalist
first_name
First name of the survivalist
last_name
Last name of the survivalist
age
Age of survivalist
gender
Gender
city
City
state
State
country
Country
result
Place the survivalist finished in the season
days_lasted
The number of days lasted in the game before tapping out or winning
medically_evacuated
Logical. If the survivalist was medically evacuated from the game
reason_tapped_out
The reason the survivalist tapped out of the game.
NA
means they were the winnerreason_category
A simplified category of the reason for tapping out
episode_tapped
Episode tapped out
team
The team they were associated with (only for season 4)
day_linked_up
Day the team members linked up
profession
Profession
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()