Last updated: 2021-10-12

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Knit directory: myTidyTuesday/

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Welcome to my TidyTuesday website collection. Most of the activity here is related to the rfordatascience #TidyTuesday weekly social data project. The exercises here are certainly not finished products. They demonstrate what could be accomplished in an hour or two after-hours from datasets that can be found out in the “wild.” In many cases, I’ve used these to explore packages with new features and functions and to facilitate conversations with others in the community via Twitter and Slack.

articlesTable <- articles %>%
  mutate(title = map_chr(file, ~ title_f(.))) %>%
  mutate(dateline = map_chr(file, ~ date_f(.))) %>%
  mutate(libraries = map(file, ~ library_f(.))) %>%
  tidyr::unnest_longer(col = libraries) %>%
  mutate(title = str_sub(title,
    start = 9L,
    end = str_length(title) - 1L
  )) %>%
  mutate(dateline = str_sub(dateline,
    start = 8L,
    end = str_length(dateline) - 1L
  )) %>%
  mutate(libraries = str_squish(str_sub(libraries,
    start = str_locate(libraries, "\\(")[, 1] + 1,
    end = str_locate(libraries, "\\)")[, 1] - 1
  ))) %>%
  filter(!libraries %in% c("tidyverse", "tidytuesdayR", "lubridate", "here", "hrbrthemes", "tweetrmd")) %>%
  arrange(
    desc(lubridate::mdy(dateline)),
    libraries
  ) %>%
  tidyr::nest(package = libraries) %>%
  mutate(link = stringr::str_remove(file, ".Rmd")) %>%
  mutate(link = paste0("https://opus1993.github.io/myTidyTuesday/", link, ".html"))

articlesTable %>%
  mutate(title = text_spec(title,
    format = "html",
    link = link
  )) %>%
  select(-file, -link) %>%
  knitr::kable("html",
    escape = FALSE,
    col.names = c("Title", "Date", "Packages")
  ) %>%
  kable_styling(
    bootstrap_options = c("hover", "condensed"),
    full_width = TRUE,
    fixed_thead = TRUE
  ) %>%
  column_spec(1:3, width = c("10em", "10em", "60em"))
Title Date Packages
Survival Analysis October 12, 2021 broom , splines , survival , survminer
National Bureau of Economic Research working papers September 30, 2021 extrafont , finetune , ggraph , igraph , patchwork , textrecipes, themis , tidygraph , tidylo , tidymodels , tidytext , treemapify
Billboard Top 100 September 15, 2021 ggtext , tidymodels
FreddieMac House Prices September 13, 2021 geofacet , gganimate
Sliced Season 1 Finale: SBA Loan Defaults August 17, 2021 bestNormalize, catboost , discrim , embed , finetune , ggforce , ggthemes , probably , themis , tidymodels , treemapify , treesnip
Sliced Pet Shelter Adoptions August 3, 2021 baguette , DALEXtra , finetune , textrecipes, themis , tidylo , tidymodels , tidytext , vip
Sliced Baseball Home Runs July 27, 2021 baguette , DALEXtra , finetune , themis , tidymodels, vip
Sliced Spotify Track Popularity July 20, 2021 baguette , corrr , DALEXtra , finetune , SHAPforxgboost, textrecipes , themis , tidymodels , vip
Sliced Bank Account Churn July 13, 2021 baguette , catboost , finetune , themis , tidymodels, treesnip
Sliced NYC Airbnb June 29, 2021 baguette , catboost , finetune , rlang , stacks , textrecipes, themis , tidymodels , tidytext , treesnip
Sliced Australia Weather June 22, 2021 finetune , patchwork , stacks , textrecipes, themis , tidycensus , tidymodels , treesnip
US Broadband Access May 5, 2021 patchwork , sf , tidycensus
Netflix Titles NLP April 20, 2021 discrim , finetune , stacks , textrecipes , themis , tidymodels , tidyposterior, tidytext , workflowsets
US Post Offices April 13, 2021 finetune , gganimate , ggthemes , historydata, textrecipes, themis , tidymodels
UN Votes March 24, 2021 countrycode, embed , extrafont , tidymodels
Video Games and Sliced March 16, 2021 systemfonts, tidymodels
Animating a geographic introduction March 7, 2021 gganimate, ggtext , glue
SuperBowl Commercials March 2, 2021 tidymodels
Kenya Census January 19, 2021 cartogram , rKenyaCensus, sf , spdep , systemfonts , waffle
Tate Art Collection January 12, 2021 countrycode, textrecipes, tidymodels , tidytext , treemapify , vip
USDA NASS Stocks to Use January 7, 2021 ggrepel, Quandl , rnassqs
Chicago Traffic Injuries January 5, 2021 baguette , RSocrata , themis , tidymodels
Toronto Homeless Shelters December 1, 2020 tidymodels, treemap
Washington State Trails November 27, 2020 fontawesome, ggridges , gt , htmltools , rvest
US Poverty November 11, 2020 cartogram , sf , tidycensus, tigris , tmap
Historical Phone Usage November 10, 2020 ggrepel, ggtext , naniar , scales , visdat , WDI
Canadian Wind Turbines October 27, 2020 cowplot , ggtext , kableExtra , naniar , osmdata , rnaturalearth, sf , stringr , visdat
Beer Awards October 20, 2020 broom , cowplot , geofacet , ggwordcloud, kableExtra , purrr , tidylo , tidytext
Datasaurus October 14, 2020 broom , gridExtra , purrr , tidymodels
Corn Production October 9, 2020 blscrapeR, httr , readxl , rnassqs
NCAA Womens Tournament October 7, 2020 splines , tidymodels
Hops September 24, 2020 blscrapeR, paletteer, rnassqs
Kids Spending September 22, 2020 broom , geojsonio, ggtext , rgeos , showtext
Himalayan Climbers September 22, 2020 ebbr , gt , themis , tidymodels
Friends September 8, 2020 ggbump , ggdist , glue , ragg , showtext, tidylo , tidytext
The Last Airbender August 11, 2020 scales , showtext , textfeatures, textrecipes , themis , tidylo , tidymodels , tidytext , tvthemes , vip
Astronaut Missions July 15, 2020 baguette , tidymodels
Coffee July 7, 2020 ggraph , ggridges, igraph , tidytext, widyr
Animal Crossing Sentiment Analysis May 5, 2020 stm , textrecipes, tidymodels , tidyr , tidytext , vip
GDPR Fines April 21, 2020 ggbeeswarm , ggtext , rnaturalearth, rvest , sf , tidymodels
Tour De France April 7, 2020 broom , ggtext , paletteer, patchwork, rvest , survival
Beer Production March 31, 2020 GGally , gganimate , gghighlight , maps , sf , shinymetrics, tidymetrics , tidymodels , transformr
Brain Injury March 24, 2020 gganimate , gifski , tidymodels, vip
The Office for Tidy Tuesday March 17, 2020 tidymodels, tidytext , vip
College Tuition and Diversity March 10, 2020 tidymodels
NFL attendance February 4, 2020 tidymodels
Student Debt November 26, 2019 cowplot , dygraphs , forcats , gghighlight, ggiraph , ggrepel , stats , stringr , viridis

I have made notes of my sources for code and content. Please be sure to reach out, acknowledge, and cite their contributions directly.


sessionInfo()
R version 4.1.1 (2021-08-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 22000)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.1252 
[2] LC_CTYPE=English_United States.1252   
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                          
[5] LC_TIME=English_United States.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] stringr_1.4.0    kableExtra_1.3.4 knitr_1.36       dplyr_1.0.7     
[5] purrr_0.3.4      workflowr_1.6.2 

loaded via a namespace (and not attached):
 [1] styler_1.6.2      tidyselect_1.1.1  xfun_0.26         bslib_0.3.1      
 [5] colorspace_2.0-2  vctrs_0.3.8       generics_0.1.0    htmltools_0.5.2  
 [9] viridisLite_0.4.0 yaml_2.2.1        utf8_1.2.2        rlang_0.4.11     
[13] R.oo_1.24.0       jquerylib_0.1.4   later_1.3.0       pillar_1.6.3     
[17] R.utils_2.11.0    glue_1.4.2        DBI_1.1.1         lifecycle_1.0.1  
[21] R.cache_0.15.0    munsell_0.5.0     R.methodsS3_1.8.1 rvest_1.0.1      
[25] evaluate_0.14     fastmap_1.1.0     httpuv_1.6.3      fansi_0.5.0      
[29] Rcpp_1.0.7        promises_1.2.0.1  scales_1.1.1      backports_1.2.1  
[33] webshot_0.5.2     jsonlite_1.7.2    fs_1.5.0          systemfonts_1.0.2
[37] digest_0.6.28     stringi_1.7.5     rprojroot_2.0.2   tools_4.1.1      
[41] magrittr_2.0.1    sass_0.4.0        tibble_3.1.4      tidyr_1.1.4      
[45] crayon_1.4.1      whisker_0.4       pkgconfig_2.0.3   ellipsis_0.3.2   
[49] xml2_1.3.2        lubridate_1.8.0   assertthat_0.2.1  rmarkdown_2.11   
[53] svglite_2.0.0     httr_1.4.2        rstudioapi_0.13   R6_2.5.1         
[57] git2r_0.28.0      compiler_4.1.1