#' DL_FootballDataCoUk_data
#'
#' download multiple seasons for multiple league from www.football-data.co.uk
#'
#' @export
#' @import tidyverse zoo
#' @return tibble with columns ISO4 (e.g. "NLD1"), Year (e.g. "2005") and URL
#'
DL_FootballDataCoUk_data = function(){
ENG=tibble::tibble(ISO4=paste0("ENG",1:4),
CSV=paste0("E",0:3),
Year=1993)
SCO=tibble::tibble(ISO4=paste0("SCO",1:4),
CSV=paste0("SC",0:3),
Year=1997)
DEU=tibble::tibble(ISO4=c("DEU1","DEU2"),
CSV=c("D1","D2"),
Year=1993)
ESP=tibble::tibble(ISO4=c("ESP1","ESP2"),
CSV=c("SP1","SP2"),
Year=1996)
ITA=tibble::tibble(ISO4=c("ITA1","ITA2"),
CSV=c("I1","I2"),
Year=1997)
FRA=tibble::tibble(ISO4=c("FRA1","FRA2"),
CSV=c("F1","F2"),
Year=1996)
NLD=tibble::tibble(ISO4="NLD1",
CSV="N1",
Year=1993)
BEL=tibble::tibble(ISO4="BEL1",
CSV="B1",
Year=1995)
PRT=tibble::tibble(ISO4="PRT1",
CSV="P1",
Year=1994)
GRC=tibble::tibble(ISO4="GRC1",
CSV="G1",
Year=1994)
TUR=tibble::tibble(ISO4="TUR1",
CSV="T1",
Year=1994)
Tt = rbind(ENG,SCO,DEU,ESP,ITA,FRA,NLD,BEL,PRT,GRC,TUR) %>%
arrange(ISO4)
Y1 = 1990
Y2 = as.numeric(format(Sys.Date(),"%Y"))+1
Ys = expand.grid(ISO4=unique(Tt$ISO4),Year=Y1:Y2,stringsAsFactors = FALSE)
Tt = Tt %>%
full_join(Ys) %>%
arrange(ISO4,Year) %>%
group_by(ISO4) %>%
mutate(BooleanNA=ifelse(is.na(CSV),0,1),
BooleanNA=cumsum(BooleanNA)) %>%
filter(BooleanNA>0) %>%
mutate(CSV=na.locf(CSV)) %>%
ungroup() %>%
mutate(URL=paste0("http://www.football-data.co.uk/mmz4281","/",paste0(substr(Year,3,4),substr(Year+1,3,4)),"/",CSV,".csv")) %>%
dplyr::select(ISO4,Year,URL)
# "http://www.football-data.co.uk/mmz4281/1516/E0.csv"
return(Tt)
}
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