Last updated: 2021-09-21
Checks: 7 0
Knit directory: myTidyTuesday/
This reproducible R Markdown analysis was created with workflowr (version 1.6.2). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.
Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.
Great job! The global environment was empty. Objects defined in the global environment can affect the analysis in your R Markdown file in unknown ways. For reproduciblity it’s best to always run the code in an empty environment.
The command set.seed(20210907) was run prior to running the code in the R Markdown file. Setting a seed ensures that any results that rely on randomness, e.g. subsampling or permutations, are reproducible.
Great job! Recording the operating system, R version, and package versions is critical for reproducibility.
Nice! There were no cached chunks for this analysis, so you can be confident that you successfully produced the results during this run.
Great job! Using relative paths to the files within your workflowr project makes it easier to run your code on other machines.
Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.
The results in this page were generated with repository version 9e4e867. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.
Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated:
Ignored files:
Ignored: .Rhistory
Ignored: .Rproj.user/
Ignored: catboost_info/
Ignored: data/2021-09-08/
Ignored: data/acs_poverty.rds
Ignored: data/fmhpi.rds
Ignored: data/grainstocks.rds
Ignored: data/hike_data.rds
Ignored: data/us_states.rds
Ignored: data/us_states_hexgrid.geojson
Ignored: data/weatherstats_toronto_daily.csv
Untracked files:
Untracked: code/work list batch targets.R
Untracked: figure/
Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.
These are the previous versions of the repository in which changes were made to the R Markdown (analysis/index.Rmd) and HTML (docs/index.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.
| File | Version | Author | Date | Message |
|---|---|---|---|---|
| html | 49f517e | opus1993 | 2021-09-21 | Build site. |
| html | 73513af | opus1993 | 2021-09-21 | Build site. |
| html | 4f22206 | opus1993 | 2021-09-17 | Build site. |
| html | c5f914b | opus1993 | 2021-09-15 | Build site. |
| html | 913adef | opus1993 | 2021-09-15 | Build site. |
| html | 4217d68 | opus1993 | 2021-09-14 | Build site. |
| html | d1ba72e | opus1993 | 2021-09-14 | Build site. |
| html | 8b8b885 | opus1993 | 2021-09-13 | Build site. |
| html | 13c0644 | opus1993 | 2021-09-13 | Build site. |
| html | 007f564 | opus1993 | 2021-09-11 | Build site. |
| html | e669f86 | opus1993 | 2021-09-09 | Build site. |
| html | 18fc4aa | opus1993 | 2021-09-09 | Build site. |
| html | 744582e | opus1993 | 2021-09-09 | Build site. |
| html | c9d8d5e | opus1993 | 2021-09-09 | Build site. |
| html | 7d4eb3f | opus1993 | 2021-09-08 | Build site. |
| html | 6a78362 | opus1993 | 2021-09-08 | Build site. |
| html | 4ff694a | opus1993 | 2021-09-08 | Build site. |
| html | 04bdaa7 | opus1993 | 2021-09-08 | Build site. |
| html | 1be6dc2 | opus1993 | 2021-09-08 | Build site. |
| html | aaf3aaa | opus1993 | 2021-09-08 | Build site. |
| Rmd | 480a38d | opus1993 | 2021-09-08 | fix hyperlink to sort properly |
| html | e9216f1 | opus1993 | 2021-09-08 | Build site. |
| html | 1e65696 | opus1993 | 2021-09-08 | Build site. |
| Rmd | 6948c3b | opus1993 | 2021-09-08 | sort packages and set column widths |
| html | e7f2b76 | opus1993 | 2021-09-08 | Build site. |
| html | b8fc516 | opus1993 | 2021-09-08 | Build site. |
| 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.
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 |
| 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 |
| 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 |
| 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_1.6.1 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