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app.R
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app.R
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library(shiny) # R webapps
library(googleAuthR) # auth login
library(gentelellaShiny) # ui theme
gar_set_client(scopes = c("https://www.googleapis.com/auth/analytics.readonly",
"https://www.googleapis.com/auth/cloud-platform"))
library(googleAnalyticsR) # get google analytics
library(googleLanguageR) # talking
library(dygraphs) # plots
library(xts) # time-series
# to make nice ordinals
# https://stackoverflow.com/questions/40039903/r-add-th-rd-and-nd-to-dates/40040338
getOrdinalNumber <- function(num) {
num <- as.numeric(num)
result <- ""
if (!(num %% 100 %in% c(11, 12, 13))) {
result <- switch(as.character(num %% 10),
"1" = {paste0(num, "st")},
"2" = {paste0(num, "nd")},
"3" = {paste0(num, "rd")},
paste0(num,"th"))
} else {
result <- paste0(num, "th")
}
result
}
ui <- gentelellaPage(
menuItems = list(sideBarElement(gar_auth_jsUI("auth",
approval_prompt_force = FALSE))),
title_tag = "Google Analytics Talk",
site_title = a(class="site_title", icon("phone"), span("GA Talk")),
footer = "Made in Denmark 2018",
# shiny UI elements
column(width = 12, authDropdownUI("auth_dropdown",
inColumns = TRUE)),
graph_box(boxtitle = "Google Analytics Data",
subtitle = "Trend",
dygraphOutput("trend_plot"),
datepicker = dateRangeInput("datepicker", NULL, start = Sys.Date() - 300)),
gl_talk_shinyUI("talk"),
dashboard_box(width = 12, textOutput("text_analysis"), box_title = "Transcript")
)
server <- function(input, output, session) {
# get auth token
auth <- callModule(gar_auth_js, "auth")
# get ga_accounts
ga_accounts <- reactive({
req(auth())
with_shiny(
ga_account_list,
shiny_access_token = auth()
)
})
view_id <- callModule(authDropdown, "auth_dropdown",
ga.table = ga_accounts)
ga_data <- reactive({
req(view_id())
req(input$datepicker)
with_shiny(
google_analytics,
view_id(),
date_range = input$datepicker,
dimensions = "date",
metrics = "sessions",
max = -1,
shiny_access_token = auth()
)
})
output$trend_plot <- renderDygraph({
req(ga_data())
ga_data <- ga_data()
gadata_ts <- xts(ga_data$sessions, order.by = ga_data$date)
gadata_ts %>% dygraph
})
transcript <- reactive({
req(ga_data())
req(input$datepicker)
ga_data <- ga_data()
ga_data$human_dates <- format(ga_data$date, "%A %B")
ga_data$human_day <- sapply(format(ga_data$date, "%d"), getOrdinalNumber)
trend <- round(coef(glm(sessions ~ date, data = ga_data))[[2]],2)*30
paste("For the period covering",
format(input$datepicker[1],"%A %B"), "the",
getOrdinalNumber(format(input$datepicker[1],"%d")),
"to",
format(input$datepicker[2],"%A %B"), "the",
getOrdinalNumber(format(input$datepicker[2],"%d")),
". The most daily sessions was ", max(ga_data$sessions),
", on", ga_data[which.max(ga_data$sessions),"human_dates"], "the",
ga_data[which.max(ga_data$sessions),"human_day"],
". The lowest number of daily sessions was", min(ga_data$sessions),
", on",
ga_data[which.min(ga_data$sessions),"human_dates"], "the",
ga_data[which.min(ga_data$sessions),"human_day"],
". The overall mean average was",
round(mean(ga_data$sessions),2),
". Overall the trend is ",
if(trend>0) "upwards" else if(trend==0) "static" else "downwards",
"with a change of ", trend, "sessions per month")
})
output$text_analysis <- renderText({
req(transcript())
transcript()
})
callModule(gl_talk_shiny, "talk", transcript = transcript,
controls = TRUE,
gender = "MALE")
}
# Run the application
shinyApp(ui = ui, server = server)