Added team matches list
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Jakub Wajs
parent
7d66641386
commit
278bd6ca8c
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.Rhistory
58
.Rhistory
@ -1,32 +1,3 @@
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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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@ -510,3 +481,32 @@ 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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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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c(home_teams$home_team, away_teams$away_team) %>%
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unique()
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c(home_teams$home_team, away_teams$away_team)
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c(home_teams, away_teams)
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c(home_teams, away_teams) %>% unique()
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runApp()
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full_join(home_teams, away_teams) %>%
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unique()
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left_join(home_teams, away_teams, by = home_teams$"home_team" == away_teams$"away_team")
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home_teams %>% full_join(away_teams)
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home_teams %>% full_join(away_teams, by = .$home_team == away_teams$away_team)
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home_teams %>% full_join(away_teams, by = .$home_team == away_teams$home_team)
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home_teams
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away_teams
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as.list(home_teams)
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mapply(home_teams, away_teams, SIMPLIFY = false)
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merge.data.frame(home_teams, away_teams)
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merge.data.frame(as.data.frame(home_teams), as.data.frame(away_teams))
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merge(home_teams, away_teams)
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merge(home_teams$home_team, away_teams$away_team)
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home_teams %>% mutate(home_team = away_team)
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@ -12,7 +12,7 @@ get_winner_name <- function(match_row) {
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}
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# Load data
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football_data <- as_tibble(read.csv("results.csv")) %>%
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football_data <- as_tibble(read.csv("results.csv", encoding = "UTF-8")) %>%
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mutate(winner = apply(., 1, get_winner_name))
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# Prepare data
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@ -22,6 +22,12 @@ home_teams <- football_data %>%
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away_teams <- football_data %>%
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select("away_team") %>% unique()
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teams <- merge(home_teams, away_teams,
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by.x = "home_team", by.y = "away_team")
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tournament_types <- football_data %>%
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pull(tournament) %>% unique() %>% sort()
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getDateFromData <- function(matchesData) {
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return(
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matchesData %>%
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@ -11,6 +11,13 @@ getMatchesList <- function(matchesData, first_team, second_team) {
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)
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}
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getMatchesForTeam <- function(matchesData, team) {
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return(
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matchesData %>%
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filter(home_team == team | away_team == team)
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)
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}
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# Mathes filters
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filterByDate <- function(matchesData, dateFrom, dateTo) {
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return(
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@ -3,6 +3,11 @@
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#
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# Results with pagination
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getFilteredResultsForTeam <- function(input) {
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getMatchesForTeam(football_data, input$team) %>%
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filterByDate(as_date(input$date_range[1]), as_date(input$date_range[2]))
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}
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getFilteredResults <- function(input) {
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getMatchesList(football_data, input$first_team, input$second_team) %>%
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filterByDate(as_date(input$date_range[1]), as_date(input$date_range[2]))
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@ -20,6 +25,18 @@ resultsWithPagination <- function(input, output) {
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)
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}
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matchesForTeam <- function(input, output) {
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output$matches_for_team <- DT::renderDataTable(
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getFilteredResultsForTeam(input),
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extensions = 'Buttons',
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options = list(
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lengthMenu = list(c(5, 10, -1), c('5', '10', '20', 'All')),
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pageLength = 20,
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searching = FALSE
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)
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)
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}
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# Balance
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getBalanceData <- function(input) {
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getBalance(getFilteredResults(input))
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@ -44,6 +61,10 @@ balancePercentage <- function(input, output) {
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stat = "identity") +
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coord_polar("y", start = 0) +
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theme_void() +
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geom_text(aes(x=1, y = cumsum(percentage) - percentage/2, label = percent(percentage)))
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geom_text(aes(x=1,
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y = cumsum(percentage) - percentage/2,
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label = percent(percentage)))
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})
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}
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# Top teams barplot
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@ -8,6 +8,10 @@ source("Server/DataProcessor.R")
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# Server logic
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server <- function(input, output) {
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# Tab 1
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matchesForTeam(input, output)
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# Tab 2
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balanceBetweenTeams(input, output)
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balancePercentage(input, output)
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resultsWithPagination(input, output)
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@ -1,7 +1,6 @@
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# Teams sidebar panel
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teamsSidebarPanel <- function()
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{
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teamsSidebarPanel <- function() {
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fluidRow(
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column(12,
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h2("Teams comparison"),
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@ -14,6 +13,40 @@ teamsSidebarPanel <- function()
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selectInput("second_team",
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"Second team:",
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away_teams),
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dateRangeInput("date_range",
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"Date range:",
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start = min_date_from,
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end = max_date_to,
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min = min_date_from,
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max = max_date_to),
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dropdownButton(
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label = "Tournament types",
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circle = FALSE,
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#radioButtons("tournament_all",
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# "Select:",
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# choices = c("All", "None"),
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# selected = "All"),
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checkboxGroupInput("tournament_type",
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"Tournament type:",
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choices = tournament_types,
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selected = tournament_types)
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)
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)
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)
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)
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)
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}
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teamSidebarPanel <- function() {
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fluidRow(
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column(12,
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h2("Team statistics"),
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p("Choose your favorite team."),
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fluidRow(
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column(12,
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selectInput("team",
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"Choose team:",
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teams),
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dateRangeInput("date_range",
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"Date range:",
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start = min_date_from,
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34
UI/UI.R
34
UI/UI.R
@ -12,19 +12,47 @@ ui <- navbarPage(
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theme = shinytheme("united"),
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# Tab 1
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tabPanel("Team statistics"),
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tabPanel("Team statistics",
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fluidRow(
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column(3,
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teamSidebarPanel()
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),
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column(9,
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tabsetPanel(
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tabPanel(
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"Charts"
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),
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tabPanel(
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"Summary"
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),
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tabPanel(
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"All matches",
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DT::dataTableOutput("matches_for_team")
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)
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)
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)
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)),
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# Tab 2
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tabPanel("Teams comparison",
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fluidRow(
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column(4,
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column(3,
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teamsSidebarPanel()
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),
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column(8,
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column(9,
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tabsetPanel(
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tabPanel(
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"Charts",
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balanceComponent(6, 6),
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fluidRow(
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DT::dataTableOutput("results_pagination")
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)
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),
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tabPanel(
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"Summary"
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)
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)
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)
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)
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),
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