Added date filtering + some refactoring

Data/Loader.R

@@ -12,13 +12,28 @@ get_winner_name <- function(match_row) {
 }
 
 # Load data
-football_data <- as_tibble(read.csv("results.csv"))
+football_data <- as_tibble(read.csv("results.csv")) %>%
-football_data_ext <- football_data %>%
+  mutate(winner = apply(., 1, get_winner_name))
-  select(2:5) %>% mutate(winner = apply(., 1, get_winner_name))
 
 # Prepare data
 home_teams <- football_data %>%
   select("home_team") %>% unique()
 
 away_teams <- football_data %>%
-  select("away_team") %>% unique()
+  select("away_team") %>% unique()
+
+getDateFromData <- function(matchesData) {
+  return(
+    matchesData %>% 
+      select(date) %>%
+      mutate(date = as.Date(date, "%Y-%m-%d"))
+  )
+}
+
+date_values <- getDateFromData(football_data)
+
+min_date_from <-  getDateFromData(football_data) %>%
+  summarise(min = min(date)) %>% pull()
+
+max_date_to <- getDateFromData(football_data) %>%
+  summarise(max = max(date)) %>% pull()

Server/DataProcessor.R

@@ -2,14 +2,24 @@
 # DATA PROCESSING
 #
 
-# Functions
+# Get matches
-getMatchesList <- function(first_team, second_team, football_data) {
+getMatchesList <- function(matchesData, first_team, second_team) {
-  matches <- football_data %>%
+  return(
-    filter(home_team %in% c(first_team, second_team)
+    matchesData %>%
-           & away_team %in% c(first_team, second_team))
+      filter(home_team %in% c(first_team, second_team)
-  return(matches)
+             & away_team %in% c(first_team, second_team))
+  )
 }
 
+# Mathes filters
+filterByDate <- function(matchesData, dateFrom, dateTo) {
+  return(
+    matchesData %>%
+      filter(as_date(date) >= dateFrom & as_date(date) <= dateTo)
+  )
+}
+
+# Get balance
 getBalance <- function(football_data) {
   balance <- football_data %>%
     count(winner, sort = TRUE)

Server/Results.R

@@ -3,9 +3,14 @@
 #
 
 # Results with pagination
+getFilteredResults <- function(input) {
+  getMatchesList(football_data, input$first_team, input$second_team) %>%
+    filterByDate(as_date(input$date_from), as_date(input$date_to))
+}
+
 resultsWithPagination <- function(input, output) {
   output$results_pagination <- DT::renderDataTable(
-    getMatchesList(input$first_team, input$second_team, football_data),
+    getFilteredResults(input),
     extensions = 'Buttons',
     options = list(
       lengthMenu = list(c(5, 10, -1), c('5', '10', 'All')),
@@ -16,13 +21,17 @@ resultsWithPagination <- function(input, output) {
 }
 
 # Balance
+getBalanceData <- function(input) {
+  getBalance(getFilteredResults(input))
+}
+
 balanceBetweenTeams <- function(input, output) {
   output$balance <- renderPlot({
     barplot(
-      getBalance(getMatchesList(input$first_team, input$second_team, football_data_ext))$n,
+      getBalanceData(input)$n,
       main = "Balance between teams",
       col = rainbow(3),
-      names.arg = getBalance(getMatchesList(input$first_team, input$second_team, football_data_ext))$winner
+      names.arg = getBalanceData(input)$winner
     )
   })
 }
@@ -32,11 +41,11 @@ balancePercentage <- function(input, output) {
   output$balancePieChart <- renderPlot({
     pie(
       getBalancePercentage(
-        getBalance(getMatchesList(input$first_team, input$second_team, football_data_ext))
+        getBalanceData(input)
       )$percentage,
       main = "Match balance (percentage)",
       labels = getBalancePercentage(
-        getBalance(getMatchesList(input$first_team, input$second_team, football_data_ext))
+        getBalanceData(input)
       )$winner,
       col = rainbow(3)
     )

UI/SidebarPanel.R

@@ -8,6 +8,16 @@ teamsSidebarPanel <- function()
                 home_teams),
     selectInput("second_team",
                 "Second team:",
-                away_teams)
+                away_teams),
+    dateInput("date_from",
+              "Date from:",
+              value = min_date_from,
+              min = min_date_from,
+              max = max_date_to),
+    dateInput("date_to",
+              "Date to:",
+              value = max_date_to,
+              min = min_date_from,
+              max = max_date_to)
   )
 }

app.R

@@ -10,6 +10,7 @@
 library(shiny)
 library(dplyr)
 library(shinythemes)
+library(lubridate)
 
 # Load files
 source("Data/Loader.R")