Last updated: 2021-09-08
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Knit directory: myTidyTuesday/
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
| html | 1476352 | opus1993 | 2021-09-07 | Build site. |
| 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.
articles <- 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_sub(libraries,
start = str_locate(libraries, "\\(")[, 1] + 1,
end = str_locate(libraries, "\\)")[, 1] - 1
)) %>%
filter(!libraries %in% c("tidyverse", "tidytuesdayR", "lubridate", "here", "hrbrthemes", "tweetrmd")) %>%
tidyr::nest(package = libraries)
df_url <- articles %>%
mutate(link = stringr::str_remove(file, ".Rmd")) %>%
mutate(link = paste0("https://opus1993.github.io/myTidyTuesday/", link, ".html")) %>%
pull(link)
articles %>%
mutate(title = text_spec(title,
format = "html",
link = df_url
)) %>%
select(-file) %>%
arrange(desc(lubridate::mdy(dateline))) %>%
knitr::kable("html",
escape = FALSE,
col.names = c("Title", "Date", "Packages")
) %>%
kable_styling(
bootstrap_options = c("hover", "condensed"),
full_width = TRUE,
fixed_thead = TRUE
)| Title | Date | Packages |
|---|---|---|
| Sliced Season 1 Finale: SBA Loan Defaults | August 17, 2021 | ggthemes , ggforce , treemapify , tidymodels , finetune , discrim , probably , treesnip , catboost , embed , bestNormalize, themis |
| Survival Analysis | December 4, 2020 | splines , broom , survival , survminer |
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_1.33 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