Last updated: 2021-09-15

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Knit directory: myTidyTuesday/

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File Version Author Date Message
html 4217d68 opus1993 2021-09-14 Build site.
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html 8b8b885 opus1993 2021-09-13 Build site.
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Rmd b3a9f94 opus1993 2021-09-07 wflow_publish(“analysis/index.Rmd”)
Rmd f1bb186 opus1993 2021-09-07 Start workflowr project.

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
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
US Post Offices April 13, 2021 finetune , gganimate , ggthemes , historydata, textrecipes, themis , tidymodels
USDA NASS Stocks to Use January 7, 2021 ggrepel, Quandl , rnassqs
Survival Analysis December 4, 2020 broom , splines , survival , survminer
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
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
The Last Airbender August 11, 2020 scales , showtext , textfeatures, textrecipes , themis , tidylo , tidymodels , tidytext , tvthemes , vip
GDPR Fines April 21, 2020 ggbeeswarm , ggtext , rnaturalearth, rvest , sf , tidymodels
Tour De France April 7, 2020 broom , ggtext , paletteer, patchwork, rvest , survival
The Office for Tidy Tuesday March 17, 2020 tidymodels, tidytext , vip
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 19043)

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_1.34       dplyr_1.0.7     
[5] purrr_0.3.4      workflowr_1.6.2 

loaded via a namespace (and not attached):
 [1] styler_1.5.1      tidyselect_1.1.1  xfun_0.25         bslib_0.3.0      
 [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_1.6.2     
[17] R.utils_2.10.1    glue_1.4.2        DBI_1.1.1         lifecycle_1.0.0  
[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_1.6.2      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_0.6.27     stringi_1.7.4     rprojroot_2.0.2   tools_4.1.1      
[41] magrittr_2.0.1    sass_0.4.0        tibble_3.1.4      tidyr_1.1.3      
[45] crayon_1.4.1      whisker_0.4       pkgconfig_2.0.3   ellipsis_0.3.2   
[49] xml2_1.3.2        lubridate_1.7.10  assertthat_0.2.1  rmarkdown_2.10   
[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