Load TidyTuesday datasets from GitHub by title — load_tt

Filters an internal dataset all_tt_combined by title, and loads associated data files using appropriate methods depending on data_type. Supports functional error handling and logging.

Usage

load_tt_data(title)

Arguments

title: A character string matching the title field in all_tt_combined.

Value

A named list of tibbles or data frames (one per file). Failed or skipped datasets are excluded.

Features

Automatically selects the correct reader (csv, tsv, xlsx, rds)
Logs messages using logr_msg()
Adds a clean_title attribute to each dataset
Skips unsupported formats (vgz, zip, NA)

Supported file types

"csv" / "csv.gz" → vroom::vroom()
"tsv" → vroom::vroom()
"xlsx" → readxl::read_excel()
"rds" → readRDS() from a URL connection

Unsupported

"vgz", "zip", or NA → skipped with error logging

Examples

load_tt_data("posit::conf talks")
#> INFO [2025-07-24 06:20:14] Starting import for conf2023.csv from https://raw.githubusercontent.com/rfordatascience/tidytuesday/refs/heads/main/data/2025/2025-01-14/conf2023.csv
#> SUCCESS [2025-07-24 06:20:14] Successfully loaded conf2023.csv
#> INFO [2025-07-24 06:20:14] Starting import for conf2024.csv from https://raw.githubusercontent.com/rfordatascience/tidytuesday/refs/heads/main/data/2025/2025-01-14/conf2024.csv
#> SUCCESS [2025-07-24 06:20:14] Successfully loaded conf2024.csv
#> $conf2023.csv
#> # A tibble: 116 × 9
#>    speaker_name speaker_affiliation session_type session_title block_track_title
#>    <chr>        <chr>               <chr>        <chr>         <chr>            
#>  1 Elaine McVey Chief               keynote      From Data Co… From Data Confus…
#>  2 David Meza   NASA                keynote      From Data Co… From Data Confus…
#>  3 Daniel Wood… Eli Lilly & Company regular      Developing a… Building effecti…
#>  4 Liz Roten    Metropolitan Counc… regular      How to grace… Building effecti…
#>  5 Andrew Holz  Posit               regular      Oops I'm a m… Building effecti…
#>  6 Patrick Ten… Meadows Mental Hea… regular      The Gonzalez… Building effecti…
#>  7 Natalia And… Pfizer              regular      Building a C… Pharma           
#>  8 Mike K Smith Pfizer R&D UK Ltd   regular      Open-source … Pharma           
#>  9 Ben Arancib… GSK                 regular      The Need for… Pharma           
#> 10 Colby T. Fo… Tuple, LLC / Amiss… regular      Succeed in t… Pharma           
#> # ℹ 106 more rows
#> # ℹ 4 more variables: session_date <date>, session_start <dttm>,
#> #   session_length <dbl>, session_abstract <chr>
#> 
#> $conf2024.csv
#> # A tibble: 106 × 5
#>    talk_title                              speaker_name track description yt_url
#>    <chr>                                   <chr>        <chr> <chr>       <chr> 
#>  1 A future of data science                Allen Downey Keyn… "In the hy… https…
#>  2 Beyond Dashboards: Dynamic Data Storyt… Sean Nguyen  Auto… "In this t… https…
#>  3 Quarto, AI, and the Art of Getting You… Tyler Morga… Auto… "Tired of … https…
#>  4 Creating reproducible static reports    Orla Doyle   Auto… "This talk… https…
#>  5 Quarto: A Multifaceted Publishing Powe… Joshua Cook  Auto… "Tradition… https…
#>  6 Adequate Tables? No, We Want Great Tab… Richard Ian… Beau… "Tables ar… https…
#>  7 Context is King                         Shannon Pil… Beau… "The quali… https…
#>  8 gtsummary: Streamlining Summary Tables… Daniel Sjob… Beau… "The gtsum… https…
#>  9 Stitch by Stitch: The Art of Engaging … Becca Krouse Beau… "In the wo… https…
#> 10 Open Source Software in Action: Expand… Gabriel Mor… Data… "The Urban… https…
#> # ℹ 96 more rows
#>