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Knit directory: myTidyTuesday/
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
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| Rmd | 955d604 | opus1993 | 2022-05-05 | use the new knitr chunk options |
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| html | bea94a9 | opus1993 | 2021-12-26 | Build site. |
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| Rmd | 77899ce | opus1993 | 2021-12-26 | workflowr::wflow_publish("analysis/index.Rmd") |
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| Rmd | f1bb186 | opus1993 | 2021-09-07 | Start workflowr project. |
Welcome. Most of the activity that I post here is related to the rfordatascience #TidyTuesday weekly social data project. The exercises are certainly not finished products. They demonstrate what could be accomplished in an hour or two after-hours, often 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.
suppressPackageStartupMessages({
library(purrr)
library(dplyr)
library(knitr)
library(kableExtra)
library(stringr)
})
articles <- tibble(file = dir(path = "analysis")) %>%
filter(str_detect(file, "\\.Rmd")) %>%
filter(!file %in% c("_site.yml", "about.Rmd", "index.Rmd", "license.Rmd", "rsconnect"))
title_f <- function(file) {
lines <- readLines(paste0("analysis/", file),
warn = FALSE
)
lines[grepl("^title:", lines)]
}
date_f <- function(file) {
lines <- readLines(paste0("analysis/", file),
warn = FALSE
)
lines[grepl("^date:", lines)]
}
library_f <- function(file) {
lines <- readLines(paste0("analysis/", file),
warn = FALSE
)
lines[grepl("^library", lines)]
}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", "grumanlib")) %>%
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 |
|---|---|---|
| European Flights | July 13, 2022 | geofacet , patchwork |
| Survival Analysis | June 3, 2022 | broom , splines , survival , survminer |
| Create a Crisp Topographic Map in R | May 20, 2022 | elevatr, giscoR , marmap , sf , terra |
| Eurovision Grand Finale Rankings | May 17, 2022 | cowplot |
| Supreme Court Pictogram | April 18, 2022 | ggimage, ggiraph, rvest |
| R Package Vignette Counts | March 14, 2022 | poissonreg, tidymodels, treemapify |
| Plotting NHL Stats | February 23, 2022 | cowplot, hockeyR, sportyR |
| Board Games | January 28, 2022 | finetune , SHAPforxgboost, textrecipes , tidymodels , tidytext , vip |
| Chocolate bar ratings | January 17, 2022 | poissonreg , textrecipes, tidymodels , tidytext |
| GeomTextPath | December 26, 2021 | geomtextpath , palmerpenguins |
| 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 Austin Home Value Classification | August 10, 2021 | baguette , finetune , patchwork , textrecipes, themis , tidylo , tidymodels , tidytext , vip |
| 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 |
| 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 attempted to make notes of my sources for code and content. Please be sure to reach out, acknowledge, and cite their contributions directly.
sessionInfo()R version 4.1.3 (2022-03-10)
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_1.39 dplyr_1.0.9
[5] purrr_0.3.4 workflowr_1.7.0
loaded via a namespace (and not attached):
[1] styler_1.7.0 tidyselect_1.1.2 xfun_0.31 bslib_0.3.1
[5] colorspace_2.0-3 vctrs_0.4.1 generics_0.1.3 viridisLite_0.4.0
[9] htmltools_0.5.2 yaml_2.3.5 utf8_1.2.2 rlang_1.0.3
[13] R.oo_1.25.0 jquerylib_0.1.4 later_1.3.0 pillar_1.7.0
[17] glue_1.6.2 DBI_1.1.3 R.utils_2.12.0 lifecycle_1.0.1
[21] R.cache_0.15.0 munsell_0.5.0 rvest_1.0.2 R.methodsS3_1.8.2
[25] evaluate_0.15 callr_3.7.0 fastmap_1.1.0 httpuv_1.6.5
[29] ps_1.7.1 fansi_1.0.3 Rcpp_1.0.9 scales_1.2.0
[33] promises_1.2.0.1 webshot_0.5.3 jsonlite_1.8.0 systemfonts_1.0.4
[37] fs_1.5.2 digest_0.6.29 stringi_1.7.8 processx_3.7.0
[41] getPass_0.2-2 rprojroot_2.0.3 cli_3.3.0 tools_4.1.3
[45] magrittr_2.0.3 sass_0.4.1 tibble_3.1.7 tidyr_1.2.0
[49] crayon_1.5.1 whisker_0.4 pkgconfig_2.0.3 ellipsis_0.3.2
[53] xml2_1.3.3 lubridate_1.8.0 svglite_2.1.0 assertthat_0.2.1
[57] rmarkdown_2.14 httr_1.4.3 rstudioapi_0.13 R6_2.5.1
[61] git2r_0.30.1 compiler_4.1.3