climbers_sub: Himalayan Climber Data

In mdogucu/bayesrules: Datasets and Supplemental Functions from Bayes Rules! Book

Himalayan Climber Data

Description

A sub-sample of the Himalayan Database distributed through the R for Data Science TidyTuesday project. This dataset includes information on the results and conditions for various Himalayan climbing expeditions. Each row corresponds to a single member of a climbing expedition team.

Usage

climbers_sub

Format

A data frame with 2076 observations (1 per climber) and 22 variables:

expedition_id

unique expedition identifier

member_id

unique climber identifier

peak_id

unique identifier of the expedition's destination peak

peak_name

name of the expedition's destination peak

year

year of expedition

season

season of expedition (Autumn, Spring, Summer, Winter)

sex

climber gender identity which the database oversimplifies to a binary category

age

climber age

citizenship

climber citizenship

expedition_role

climber's role in the expedition (eg: Co-Leader)

hired

whether the climber was a hired member of the expedition

highpoint_metres

the destination peak's highpoint (metres)

success

whether the climber successfully reached the destination

solo

whether the climber was on a solo expedition

oxygen_used

whether the climber utilized supplemental oxygen

died

whether the climber died during the expedition

death_cause

death_height_metres

injured

whether the climber was injured on the expedition

injury_type

injury_height_metres

count

number of climbers in the expedition

height_metres

height of the peak in meters

first_ascent_year

the year of the first recorded summit of the peak (though not necessarily the actual first summit!)

Source

Original source: https://www.himalayandatabase.com/. Complete dataset distributed by: https://github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-09-22/.

mdogucu/bayesrules documentation built on April 23, 2022, 2:46 a.m.