📝 "Philly Center City District Sips 2023: An Interactive Map"

👤 Silvia Canelón (@spcanelon)

🔗 https://silviacanelon.com/blog/2023-06-05-ccd-sips/

#rladies #rstats #r #maps #webscraping #robotstxt #rvest #leaflet #tidygeocoder

Philly Center City District Sips 2023: An Interactive Map | Silvia Canelón

📝 "Philly Center City District Sips 2022: An Interactive Map"

👤 Silvia Canelón (@spcanelon)

🔗 https://silviacanelon.com/blog/2022-05-31-ccd-sips/index.html

#rladies #rstats #r #tutorial #maps #webscraping #robotstxt #rvest #leaflet #ggmap

Philly Center City District Sips 2022: An Interactive Map | Silvia Canelón

Yesterday I successfully executed my first web scraping in R  It was my first time investigating a website so deeply. I also learned that dynamic pages are a pain to scrape from. Still, I'm curious to try other pages!

@academicchatter @rstats #R #webscraping #polite #rvest #RSelenium

@hadleywickham You asked on Twitter last fall for #rvest examples that don't work. This used to pull the latest version of #RStudio but doesn't work anymore (unless I save the page first)

spans <- xml2::read_html("https://posit.co/download/rstudio-desktop/") |>
rvest::html_element(".mt-\\[40px\\].body-md-regular") |>
rvest::html_elements("span") |>
rvest::html_text() |>
stringr::str_extract("Version: .*")

rstudio_latest_version <- spans[!is.na(spans)] |>
stringr::str_extract("[0-9.\\+]+")

RStudio Desktop - Posit

Posit
Pledging My Time VI: scraping and analysis of race results in R

I’ve posted in the past about analysing race results in R (most recently here). I ran the 2023 MK Marathon and wanted to have a look at the finishing times. The days of race results being mad…

quantixed

With the goal of learning my students’ names and faces faster, I wrote an R script that will convert a roster (“People” in a Canvas course) to a gt table for later customization

code (R, #gt, #rvest): https://dsollbergerquarto.netlify.app/posts/canvas_r

I'm presenting a new #rstats package {oddor} that provides functions to scrape data from oddsportal dot com. Dealing with these data for the first time, I was surprised how hard it is to grab the simple tables from this dynamically generated website. After wondering countless QAs, I managed to do it and decided to wrap the solution as a package. In the future, I plan to store the scraped data within the package. Improvements/suggestions are welcome
#rvest #FIFAWorldCup
https://github.com/ikashnitsky/oddor
GitHub - ikashnitsky/oddor: Historical odds data ready for R

Historical odds data ready for R. Contribute to ikashnitsky/oddor development by creating an account on GitHub.

GitHub
RT @pagomba: Inspired by @PaoloCrosetto's blog on #MDPI, this weekend I've been on a side-quest exploring their journals publications using R and web scraping package #rvest. A thread 🧵1/11 👇
#Rstats https://t.co/Q7Qhbv0NLr
Pablo Gomez on Twitter

“Inspired by @PaoloCrosetto's blog on #MDPI, this weekend I've been on a side-quest exploring their journals publications using R and web scraping package #rvest. A thread 🧵1/11 👇 #Rstats”

Twitter