tanho63

library(shiny)
library(ggplot2)
ui <- fluidPage(
  selectInput("var", choices = names(mtcars),label = "choose column"),
  br(),
  plotOutput("plot")
)

server <- function(input, output, session) {
  output$plot <- renderPlot({

tanho63

tanho63

footer_538_patchwork <- function(
  base_plot, 
  text_left = "", 
  text_right = "", 
  bg_colour = "#5B5E5F", 
  font_colour = "white",
  font_family = "sans",
  font_size = 12){
  
  footer_left <- grid::textGrob(

tanho63

rb_opps <- data.table::rbindlist(
  list(
    nflreadr::load_ff_opportunity(stat_type = "pbp_rush"), 
    nflreadr::load_ff_opportunity(stat_type = "pbp_pass")
  ), 
  fill = TRUE) |> 
  dplyr::filter(position == "RB" | receiver_position == "RB", week == 3, posteam == "MIA") |> 
  dplyr::transmute(
    game_id, 
    player_name = dplyr::coalesce(receiver_full_name, full_name),

tanho63

library(yaml)
url_tag <- "<a href='http://my-url.com'>My website</a>"
quoted <- function(x){
  attr(x, "quoted") <- TRUE
  return(x)
}
list(x = quoted(url_tag)) |> yaml::as.yaml()


# Gist URL https://gist.github.com/e194fa3e10d9e85fdedae6318e688557

tanho63

library(yaml)
url_tag <- "<a href='http://my-url.com'>My website</a>"
attr(url_tag,"quoted") <- TRUE
list(x = url_tag) |> yaml::as.yaml()


# Gist URL https://gist.github.com/4d3ce5f22b53ebad6ed472653b700171

tanho63

library(yaml)
url_tag <- "<a href='http://my-url.com'>My website</a>"
attr(url_tag,"quoted") <- TRUE
list(x = url_tag) |> yaml::as.yaml()


# Gist URL https://gist.github.com/b8ba7b2c3a3578ac19737882fef7dbea

tanho63

# All base R actually but make sure libcurl is installed if you're on Linux
# Devtools -> Copy as cURL -> go to curlconverter.com/#r and paste -> mostly important to get headers in this case
# idk which of these work but this combo works
headers = c( 
  `User-Agent` = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:98.0) Gecko/20100101 Firefox/98.0',
  `Accept` = '*/*',
  `Accept-Language` = 'en-US,en;q=0.5',
  `Accept-Encoding` = 'gzip, deflate, br',
  `Origin` = 'https://www.mlb.com',
  `DNT` = '1',

tanho63

library(ggplot2)
library(ragg)
library(systemfonts)
library(tantastic) # tanho63/tantastic
library(tidyverse)

# Weepeople font https://github.com/propublica/weepeople/
colours <- c("#5E4AE3","#44FFD1","#EFCA08","#FF3366")

crossing(

tanho63

Listing various examples to tackle on stream

R4DS scraping question

https://rfordatascience.slack.com/archives/C8K09CDNZ/p1626704301265200

library(tidyverse)
# read the web page
url_data <- "https://www.dmr.gov.za/mineral-policy-promotion/operating-mines/limpopo"
# read the css selector of the data I want by defining a variable