Are you a New Yorker who relies on heating oil to keep your home warm during the winter months? Keeping track of heating oil prices is essential for making informed decisions about when to buy and how much to purchase. With the help of R, accessing and visualizing the latest heating oil prices in New York is easier than ever before.
Link to the blog post: https://www.spsanderson.com/steveondata/posts/rtip-2023-03-08/
#R #heatingoil #NewYork #datavisualization #timetk #dplyr #xml2 #rvest #oil #heatingoil #nys #purrr #lubridate
#lubridate #purrr #nys #oil #rvest #xml2 #dplyr #timetk #datavisualization #NewYork #heatingoil #r
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
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 offline use.
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
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