Last updated: 2021-09-24
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Knit directory: myTidyTuesday/
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File | Version | Author | Date | Message |
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html | 5601352 | opus1993 | 2021-09-21 | Build site. |
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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 |
---|---|---|
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 |
US Post Offices | April 13, 2021 | finetune , gganimate , ggthemes , historydata, textrecipes, themis , tidymodels |
USDA NASS Stocks to Use | January 7, 2021 | ggrepel, Quandl , rnassqs |
Chicago Traffic Injuries | January 5, 2021 | baguette , RSocrata , themis , tidymodels |
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 |
Canadian Wind Turbines | October 27, 2020 | cowplot , ggtext , kableExtra , naniar , osmdata , rnaturalearth, sf , stringr , visdat |
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 |
Coffee | July 7, 2020 | ggraph , ggridges, igraph , tidytext, widyr |
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 |
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 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_1.6.1 tidyselect_1.1.1 xfun_0.26 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_1.6.3 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_0.6.27 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_2.11
[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