tuesdata <- tidytuesdayR::tt_load(2026, week = 10)
absolute_judgements <- tuesdata$absolute_judgements
pairwise_comparisons <- tuesdata$pairwise_comparisons
respondent_metadata <- tuesdata$respondent_metadataData
How likely is ‘likely’?
README: github.com/rfordatascience/tidytuesday/blob/main/data/2026/2026-03-10/readme.md
Load data
Load the data using the {tidytuesdayR} package:
Or load the data directly from GitHub:
absolute_judgements <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/main/data/2026/2026-03-10/absolute_judgements.csv')
pairwise_comparisons <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/main/data/2026/2026-03-10/pairwise_comparisons.csv')
respondent_metadata <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/main/data/2026/2026-03-10/respondent_metadata.csv')Or go to likely to edit the R code provided.
Edible Plants Database
README: github.com/rfordatascience/tidytuesday/tree/main/data/2026/2026-02-03
Load data
Load the data using the {tidytuesdayR} package:
tuesdata <- tidytuesdayR::tt_load(2026, week = 5)
edible_plants <- tuesdata$edible_plantsOr load the data directly from GitHub:
edible_plants <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/main/data/2026/2026-02-03/edible_plants.csv')Or go to plants to edit the R code provided.