graphTV/app.R

library(tidyverse)
library(plotly)

readRDS("imdb.rds") -> imdb

imdb %>%
  distinct(id, .keep_all = T) %>%
  mutate(title = str_c(seriesTitle, " (", startYear, ")")) %>%
  select(id, title) -> shows

shows$id %>%
  setNames(shows$title) -> shows

ui <- fluidPage(
  inputPanel(width = "20%", height = "100%",
             h1("GraphTV"),
             selectizeInput("show", "Search show", shows, selected = "tt0944947", width = "600px")
             ),
  plotlyOutput("show_graph", width = "100%", height = "800px")
)

server <- function(input, output, session)
{
  output$show_graph <- renderPlotly({
    req(input$show)

    show_id <- input$show

    imdb %>%
      filter(id == show_id) %>%
      collect %>%
      mutate_at(vars(season, episode, averageRating, numVotes), as.numeric) %>%
      by(.$season, function(x){
           fit <- lm(averageRating ~ episode, data = x)
           x %>%
             plot_ly(hoverinfo = "text",
                     text = ~str_c("S", season, "E", episode, " - ", episodeTitle, "<br>",
                                   "Rating: ", averageRating, " (", numVotes, " votes)<br>")) %>%
           add_trace(data = x, x = ~episode, y = ~averageRating, mode = "markers") %>%
           add_trace(data = x, x = ~episode, y = fitted(fit), mode = "lines") %>%
           layout(xaxis = list(tick0 = 0, dtick = 1),
                  yaxis = list(title = "Rating"))
          }) %>%
    subplot(shareY = T, nrows = 1, margin = 0) %>%
    hide_legend
  })
}

shinyApp(ui = ui, server = server)