88 lines
2.2 KiB
R
88 lines
2.2 KiB
R
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#
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# This is a Shiny web application. You can run the application by clicking
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# the 'Run App' button above.
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#
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# Find out more about building applications with Shiny here:
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#
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# http://shiny.rstudio.com/
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#
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library(shiny)
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library(dplyr)
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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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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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# Load data
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football_data <- as_tibble(read.csv("results.csv"))
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football_data_ext <- football_data %>%
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select(2:5) %>% mutate(winner = apply(., 1, get_winner_name))
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# Prepare data
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home_teams <- football_data %>%
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select("home_team") %>% unique()
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away_teams <- football_data %>%
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select("away_team") %>% unique()
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# UI
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ui <- fluidPage(
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# Application title
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titlePanel("International football results 1872-2018"),
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# Sidebar with a slider input for number of bins
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sidebarLayout(
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sidebarPanel(
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selectInput("first_team",
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"First team:",
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home_teams),
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selectInput("second_team",
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"Second team:",
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away_teams)
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),
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# Show a plot of the generated distribution
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mainPanel(
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#plotOutput("balance"), TODO: balance plot (W:L:D)
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DT::dataTableOutput("results_pagination")
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)
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)
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)
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# Server logic
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server <- function(input, output) {
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#output$balance <- renderPlot()
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output$results_pagination <- DT::renderDataTable(
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get_matches_list(input$first_team, input$second_team),
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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', 'All')),
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pageLength = 10,
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searching = FALSE
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)
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)
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}
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# Run the application
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shinyApp(ui = ui, server = server)
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