New Package, Pinboardr

[This article was first published on Category R on Roel's R-tefacts, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

I’ve created a new package to interact with pinboard not to be confused with pinterest. I noticed there wasn’t a package yet and the API is fairly clear. So come and check it out {pinboardr} at https://github.com/RMHogervorst/pinboardr

I did see a new package to interact with pocket: pocketapi. Since pocket is also a kind of bookmark manager I thought there was a need for these kinds of packages. I will leave this package on github for a while, to figure out if I need to make changes and in a month or so I will push it to CRAN. Everyone who uses pinboard and R is invited to ‘kick the tyres’ as they say. Let me know if the docs are clear, if it is usable and useful for you.

What is pinboard?

Pinboard is a bookmark website. In stead of bookmarking on your own computer in the browser you can use pinboard. The service is very minimalistic and privacy focused. I use it all the time to put articles on my reading list, to archive tweets and to collect material for my secondary blog and for this blog.

Basic functionality

I added a more extensive readme, and all the functions are documented too. But in this short blogpost I wanted to show some examples.

With {pinboardr} you can see what you and other people used as tags for a page:

library(pinboardr)
caption <- "package {pinboardr}"
pb_posts_suggest(url="https://blog.rmhogervorst.nl/blog/2020/04/08/scraping-gdpr-fines/")

 tag popular recommended
1 Twitter FALSE TRUE

pb_posts_suggest("http://neverssl.com")

 tag popular recommended
1 ssl TRUE TRUE
2 wifi TRUE TRUE
3 public FALSE TRUE
4 Airport FALSE TRUE
5 captiveportal FALSE TRUE
6 coffee FALSE TRUE
7 connect FALSE TRUE
8 connection FALSE TRUE
9 help FALSE TRUE
10 IFTTT FALSE TRUE

Get recent bookmarks with a specific type

library(tidyverse)

recent <- pb_posts_recent(tags = "r",count=4)
names(recent)

[1] "href" "title" "description" "meta" "hash"
[6] "time" "public" "toread" "tags"

recent %>% select(title, tags)

 title
1 wttr.in/README.md at master · chubin/wttr.in
2 Automatic Code Cleaning in R with Rclean
3 \U0001f4fb Radio 538 playlist / afspeellijst van donderdag 13-06-2013
4 Dataviz and the 20th Anniversary of R, an Interview With Hadley Wickham
tags
1 package_idea r
2 r tools
3 blogidea r
4 visualisation r interview

Find out when you bookmarked things. (I think many bookmarks have the same date because I imported and exported from one tool to another)

dates <- pb_posts_dates()
dates %>%
mutate(dates= as.POSIXct(date)) %>%
ggplot(aes(dates, count)) +
geom_col()+
labs(title="bookmarks per date", caption=caption)

unnamed-chunk-4-1.png
Can you guess when I was on the other side of the world with very spotty internet?

dates %>%
mutate(dates= as.POSIXct(date)) %>%
filter(dates > "2019-08-01") %>%
ggplot(aes(dates, count)) +
geom_col()+
labs(title="bookmarks per date", subtitle = "zoomed in", caption=caption)
unnamed-chunk-5-1.png

So, see if you like it and check it out at github

Reproducibility

sessioninfo::session_info()

─ Session info ───────────────────────────────────────────────────────────────
setting value
version R version 3.6.3 (2020-02-29)
os macOS Mojave 10.14.6
system x86_64, darwin15.6.0
ui X11
language (EN)
collate en_US.UTF-8
ctype en_US.UTF-8
tz Europe/Amsterdam
date 2020-05-11
─ Packages ───────────────────────────────────────────────────────────────────
package * version date lib source
assertthat 0.2.1 2019-03-21 [1] CRAN (R 3.6.0)
backports 1.1.5 2019-10-02 [1] CRAN (R 3.6.0)
broom 0.5.5 2020-02-29 [1] CRAN (R 3.6.0)
cellranger 1.1.0 2016-07-27 [1] CRAN (R 3.6.0)
cli 2.0.2 2020-02-28 [1] CRAN (R 3.6.0)
colorspace 1.4-1 2019-03-18 [1] CRAN (R 3.6.0)
crayon 1.3.4 2017-09-16 [1] CRAN (R 3.6.0)
curl 4.3 2019-12-02 [1] CRAN (R 3.6.0)
DBI 1.1.0 2019-12-15 [1] CRAN (R 3.6.0)
dbplyr 1.4.2 2019-06-17 [1] CRAN (R 3.6.0)
digest 0.6.25 2020-02-23 [1] CRAN (R 3.6.0)
dplyr * 0.8.5 2020-03-07 [1] CRAN (R 3.6.0)
ellipsis 0.3.0 2019-09-20 [1] CRAN (R 3.6.0)
evaluate 0.14 2019-05-28 [1] CRAN (R 3.6.0)
fansi 0.4.1 2020-01-08 [1] CRAN (R 3.6.0)
farver 2.0.3 2020-01-16 [1] CRAN (R 3.6.0)
forcats * 0.5.0 2020-03-01 [1] CRAN (R 3.6.0)
fs 1.3.2 2020-03-05 [1] CRAN (R 3.6.0)
generics 0.0.2 2018-11-29 [1] CRAN (R 3.6.0)
ggplot2 * 3.3.0 2020-03-05 [1] CRAN (R 3.6.0)
glue 1.4.0 2020-04-03 [1] CRAN (R 3.6.2)
gtable 0.3.0 2019-03-25 [1] CRAN (R 3.6.0)
haven 2.2.0 2019-11-08 [1] CRAN (R 3.6.0)
hms 0.5.3 2020-01-08 [1] CRAN (R 3.6.0)
htmltools 0.4.0 2019-10-04 [1] CRAN (R 3.6.0)
httr 1.4.1 2019-08-05 [1] CRAN (R 3.6.0)
jsonlite 1.6.1 2020-02-02 [1] CRAN (R 3.6.0)
knitr 1.28 2020-02-06 [1] CRAN (R 3.6.0)
labeling 0.3 2014-08-23 [1] CRAN (R 3.6.0)
lattice 0.20-38 2018-11-04 [1] CRAN (R 3.6.3)
lifecycle 0.2.0 2020-03-06 [1] CRAN (R 3.6.0)
lubridate 1.7.4 2018-04-11 [1] CRAN (R 3.6.0)
magrittr 1.5 2014-11-22 [1] CRAN (R 3.6.0)
modelr 0.1.6 2020-02-22 [1] CRAN (R 3.6.0)
munsell 0.5.0 2018-06-12 [1] CRAN (R 3.6.0)
nlme 3.1-144 2020-02-06 [1] CRAN (R 3.6.3)
pillar 1.4.4 2020-05-05 [1] CRAN (R 3.6.3)
pinboardr * 0.0.0.9000 2020-05-11 [1] local
pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 3.6.0)
purrr * 0.3.4 2020-04-17 [1] CRAN (R 3.6.2)
R6 2.4.1 2019-11-12 [1] CRAN (R 3.6.0)
Rcpp 1.0.4.6 2020-04-09 [1] CRAN (R 3.6.3)
readr * 1.3.1 2018-12-21 [1] CRAN (R 3.6.0)
readxl 1.3.1 2019-03-13 [1] CRAN (R 3.6.0)
reprex 0.3.0 2019-05-16 [1] CRAN (R 3.6.0)
rlang 0.4.6 2020-05-02 [1] CRAN (R 3.6.2)
rmarkdown 2.1 2020-01-20 [1] CRAN (R 3.6.0)
rstudioapi 0.11 2020-02-07 [1] CRAN (R 3.6.0)
rvest 0.3.5 2019-11-08 [1] CRAN (R 3.6.0)
scales 1.1.0 2019-11-18 [1] CRAN (R 3.6.0)
sessioninfo 1.1.1 2018-11-05 [1] CRAN (R 3.6.0)
stringi 1.4.6 2020-02-17 [1] CRAN (R 3.6.0)
stringr * 1.4.0 2019-02-10 [1] CRAN (R 3.6.0)
tibble * 3.0.1 2020-04-20 [1] CRAN (R 3.6.2)
tidyr * 1.0.2 2020-01-24 [1] CRAN (R 3.6.0)
tidyselect 1.0.0 2020-01-27 [1] CRAN (R 3.6.0)
tidyverse * 1.3.0 2019-11-21 [1] CRAN (R 3.6.0)
vctrs 0.2.4 2020-03-10 [1] CRAN (R 3.6.0)
withr 2.1.2 2018-03-15 [1] CRAN (R 3.6.0)
xfun 0.13 2020-04-13 [1] CRAN (R 3.6.2)
xml2 1.2.2 2019-08-09 [1] CRAN (R 3.6.0)
yaml 2.2.1 2020-02-01 [1] CRAN (R 3.6.0)
[1] /Library/Frameworks/R.framework/Versions/3.6/Resources/library

To leave a comment for the author, please follow the link and comment on their blog: Category R on Roel's R-tefacts.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)