## code to prepare `partidas` dataset goes here
source("data-raw/scraping_matches.R")
matches_2003_2019 <- purrr::map_dfr(2003:2019, scraper_change_gol)
matches_2003_2019 <- matches_2003_2019 |>
tibble::add_row(
season = 2019,
date = as.Date("2019-09-25"),
home = "São Paulo",
score = "0x1",
away = "Goiás"
) |>
tibble::add_row(
season = 2019,
date = as.Date("2019-09-25"),
home = "Ceará",
score = "0x0",
away = "Cruzeiro"
) |>
tibble::add_row(
season = 2019,
date = as.Date("2019-09-25"),
home = "Bahia",
score = "2x0",
away = "Botafogo"
) |>
tibble::add_row(
season = 2019,
date = as.Date("2019-09-25"),
home = "Flamengo",
score = "3x1",
away = "Internacional"
) |>
dplyr::filter(
!(date == "2005-05-08" & home == "Vasco"),
!(date == "2005-07-02" & home == "Ponte Preta"),
!(date == "2005-07-16" & home == "Paysandu"),
!(date == "2005-07-24" & home == "Juventude"),
!(date == "2005-07-31" & home == "Santos"),
!(date == "2005-08-07" & home == "Vasco"),
!(date == "2005-08-10" & home == "Cruzeiro"),
!(date == "2005-08-14" & home == "Juventude"),
!(date == "2005-08-21" & home == "Internacional"),
!(date == "2005-09-07" & home == "São Paulo"),
!(date == "2005-09-10" & home == "Fluminense")
)
matches_2020 <- purrr::map_dfr(1:36, scraper_ge_2020)
# matches_2020 <- dplyr::filter(matches, season == 2020)
matches <- dplyr::bind_rows(matches_2003_2019, matches_2020)
readr::write_csv(matches, "data-raw/csv/matches.csv")
usethis::use_data(matches, overwrite = TRUE)
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