tidytuesdayR1.2.1 package

Access the Weekly 'TidyTuesday' Project Dataset

gh_get

Get data from the tt github repo.

last_tuesday

Find the most recent tuesday

pipe

Pipe operator

prep_tt_curate

Set up a directory for dataset curation

printing

print methods of the tt objects

readme

Readme HTML maker and Viewer

shared-params

Parameters used in multiple functions

should_update_tt_master_file

Decide whether to update the master file

tidytuesdayR-package

tidytuesdayR: Access the Weekly 'TidyTuesday' Project Dataset

tt_available

Listing all available TidyTuesdays

tt_check_date

Generate valid TidyTuesday URL

tt_clean

Create and open cleaning.R

tt_compile

Get TidyTuesday readme and list of files and HTML based on the date

tt_curate_data

Guidance for TidyTuesday dataset curation

tt_date

Get date of TidyTuesday, given the year and week

tt_download_file

Download a TidyTuesday dataset file

tt_download

Download TidyTuesday data

tt_intro

Create and open intro.md

tt_load_gh

Load TidyTuesday data from Github

tt_load

Load TidyTuesday data from Github

tt_master_file

Get Master List of Files from TidyTuesday

tt_meta

Create and open meta.yaml

tt_print

Printing Utilities for Listing Available Datasets

tt_save_dataset

Save datasets for submission

tt_submit

Submit a TidyTuesday dataset

use_tidytemplate

Create and open the tidytemplate

Download source packageRead PDF manual

'TidyTuesday' is a project by the 'Data Science Learning Community' in which they post a weekly dataset in a public data repository (<https://github.com/rfordatascience/tidytuesday>) for people to analyze and visualize. This package provides the tools to easily download this data and the description of the source.

  • Maintainer: Jon Harmon
  • License: MIT + file LICENSE
  • Last published: 2025-04-29

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