280 lines
7.1 KiB
R
280 lines
7.1 KiB
R
shiny::runApp()
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runApp()
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# Load data
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football_data <- read.csv("results.csv")
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head(football_data)
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football_data <- as_tibble(read.csv("results.csv"))
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library(dplyr)
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football_data <- as_tibble(read.csv("results.csv"))
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football_data %>% select(2)
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football_data %>% select("home_team")
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football_data %>% select("home_team") %>% unique()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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shiny::runApp()
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runApp(display.mode = "showcase")
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runApp(display.mode = "showcase")
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runApp()
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get_matches_list <- function(home_team, away_team) {
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matches <- football_data %>%
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select(1:5) %>%
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filter("home_team" == home_team
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& "away_team" == away_team)
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return(matches)
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}
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get_matches_list("Scotland", "England")
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head(get_matches_list("Scotland", "England"))
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test <- get_matches_list("Scotland", "England")
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test <- get_matches_list("Poland", "England")
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test
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football_data %>% filter("home_team" == "England")
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football_data %>% filter(1 == "England")
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football_data %>% filter(2 == "England")
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matches <- football_data %>%
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select(1:5) %>%
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filter("home_team" %in% c(first_team, second_team)
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& "away_team" %>% c(first_team, second_team))
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matches <- football_data %>%
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select(1:5) %>%
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filter("home_team" %in% c("England")
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)
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football_data %>% filter(str_detect("home_team", "England")
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)
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library(stringr)
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football_data %>% filter(str_detect("home_team", "England")_
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football_data %>% filter(str_detect("home_team", "England"))
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football_data %>% filter(str_detect(2, "England"))
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football_data %>% filter(home_team == "England")
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runApp()
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runApp()
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football_data_ext <- football_data %>%
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select(2:4)
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head(football_data_ext)
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football_data_ext <- football_data %>%
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select(2:6)
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head(football_data_ext)
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head(football_data)
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football_data["home_team"]
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get_winner_name <- function(match_row) {
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if(match_row["home_score"] > match_row["away_score"]) {
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return(match_row["home_team"])
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}
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else if(match_row["home_score"] < match_row["away_score"]) {
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return(match_row["away_team"])
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}
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else {
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return("Draw")
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}
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}
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get_winner_name(football_data[0])
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head(football_data)
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get_winner_name(football_data[1])
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football_data[1]
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football_data[, 1]
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top_n(football_data, 1)
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football_data %>% slice(1)
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football_data %>% slice(1) %>% get_winner_name()
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football_data %>% select(2:5) %>% get_winner_name()
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football_data %>% select(2:5)
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football_data %>% select(2:5) %>% mutate(get_winner_name())
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football_data %>% select(2:5) %>% mutate(get_winner_name(.))
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football_data %>% select(2:5) %>% mutate(result = get_winner_name(.))
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football_data %>% select(2:5) %>% rowwise() %>% mutate(result = get_winner_name(.))
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warnings()
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football_data %>% select(2:5) %>% rowwise() %>% mutate(result = get_winner_name())
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football_data %>%
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select(2:5) %>% mutate(get_winner_name(home_score, away_score, home_team, away_team))
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get_winner_name <- function(home_score, away_score, home_team, away_team) {
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if(home_score > away_score) {
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return(home_team)
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}
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else if(home_score < away_score) {
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return(away_team)
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}
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else {
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return("Draw")
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}
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}
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football_data %>%
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select(2:5) %>% mutate(get_winner_name(home_score, away_score, home_team, away_team))
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football_data %>%
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select(2:5) %>% mutate(winner = get_winner_name(home_score, away_score, home_team, away_team))
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football_data %>% slice(2)
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football_data %>% slice(2) %>% get_winner_name()
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get_winner_name <- function(match_row) {
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if(match_row["home_score"] > match_row["away_score"]) {
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return(match_row["home_team"])
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}
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else if(match_row["home_score"] < match_row["away_score"]) {
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return(match_row["away_team"])
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}
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else {
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return("Draw")
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}
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}
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get_winner_name <- function(match_row) {
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if(match_row["home_score"] > match_row["away_score"]) {
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return(match_row["home_team"])
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}
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else if(match_row["home_score"] < match_row["away_score"]) {
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return(match_row["away_team"])
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}
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else {
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return("Draw")
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}
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}
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football_data %>% slice(2) %>% get_winner_name()
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football_data %>% get_winner_name()
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football_data %>% rowwise() %>% get_winner_name()
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football_data %>% apply(get_winner_name())
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football_data %>% apply(., get_winner_name())
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football_data %>% apply(., ,get_winner_name())
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football_data %>% apply(., ,get_winner_name)
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football_data %>% apply(., 1, get_winner_name)
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football_data %>% mutate(winner = apply(., 1, get_winner_name))
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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shiny::runApp()
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runApp()
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install.packages("dt")
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install.packages("DT")
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install.packages(c("DT", "shiny"))
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install.packages(c("DT", "shiny"))
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shiny::runApp()
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runApp()
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runApp()
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runApp()
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exit()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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# Functions
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get_matches_list <- function(first_team, second_team) {
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matches <- football_data %>%
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select(1:9) %>%
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filter(home_team %in% c(first_team, second_team)
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& away_team %in% c(first_team, second_team))
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return(matches)
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}
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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View(football_data_ext)
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getBalance <- function(data, home_team, away_team) {
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balance <- data %>%
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group_by(., "winner") %>%
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summarise(n = n())
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return(balance)
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}
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test <- getBalance(football_data_ext, "England", "Scotland")
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test
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head(test)
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balance <- football_data_ext %>% group_by(., "winner")
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View(balance)
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balance <- football_data_ext %>% aggregate(,. by="winner")
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balance <- football_data_ext %>% aggregate(., by="winner")
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balance <- football_data_ext %>% aggregate(., by="winner", FUN = sum())
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balance <- football_data_ext %>% aggregate(., by="winner", FUN = sum
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)
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balance <- football_data_ext %>% aggregate(., by=list(.$winner), FUN = sum)
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balance <- football_data_ext %>% aggregate(., by=list(as.numeric(.$winner)), FUN = sum)
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View(balance)
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balance <- football_data_ext %>% group_by(., .$winner)
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View(balance)
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balance <- football_data_ext %>% group_by(.$winner)
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View(balance)
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balance <- football_data_ext %>% group_by(winner)
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View(balance)
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balance <- football_data_ext %>% count(winner)
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View(balance)
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getBalance <- function(data, home_team, away_team) {
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balance <- data %>%
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count(winner, sort = TRUE)
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return(balance)
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}
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View(test)
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test <- get_matches_list("England", "Scotland")
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View(test)
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getMatchesList <- function(first_team, second_team) {
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matches <- football_data_ext %>%
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select(1:9) %>%
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filter(home_team %in% c(first_team, second_team)
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& away_team %in% c(first_team, second_team))
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return(matches)
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}
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getMatchesList("England", "Scotland")
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# Functions
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getMatchesList <- function(first_team, second_team) {
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matches <- football_data_ext %>%
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filter(home_team %in% c(first_team, second_team)
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& away_team %in% c(first_team, second_team))
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return(matches)
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}
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getMatchesList("England", "Scotland")
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test <- getMatchesList("England", "Scotland")
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runApp()
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getBalance(test, "England", "Scotland")
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barplot(getBalance(
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getMatchesList(input$first_team, input$second_team, football_data_ext)))
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runApp()
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bal <- getBalance(getMatchesList(input$first_team, input$second_team, football_data_ext))
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bal <- getBalance(getMatchesList("England", "Scotland", football_data_ext))
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bal
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runApp()
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runApp()
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bal.n
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bal <- getBalance(getMatchesList("England", "Scotland", football_data_ext))
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bal.n
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bal$n
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runApp()
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bal$n
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runApp()
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typeof(bal)
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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View(bal)
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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runApp()
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