Alle grafieken laten reageren op invoer
Laten we nu het hele dashboard laten reageren op gebruikersinvoer!
Deze oefening maakt deel uit van de cursus
Dashboards bouwen met flexdashboard
Oefeninstructies
- Laat, net als bij de kaart in de vorige oefening, nu de andere twee grafieken (de
valueBox()en deggplot) reageren op gebruikersinvoer.
Interactieve oefening met praktijkervaring
Probeer deze oefening door deze voorbeeldcode aan te vullen.
{"my_document.Rmd":"---\ntitle: \"Bike Shares Daily\"\noutput: \n flexdashboard::flex_dashboard:\n orientation: columns\n vertical_layout: fill\nruntime: shiny\n---\n\n```{r global, include=FALSE}\nlibrary(flexdashboard)\nlibrary(readr)\nlibrary(leaflet)\nlibrary(DT)\nlibrary(tidyverse)\nlibrary(lubridate)\nlibrary(plotly)\n\ntrips_df <- read_csv('https://assets.datacamp.com/production/course_6961/datasets/sanfran_bikeshare_joined_oneday.csv') %>%\n mutate(duration_min = duration_sec / 60,\n start_hour = hour(start_date)) %>%\n filter(duration_min <= 8 * 60) # remove trips longer than 8 hours as suspicious data quality\n\n```\n\n\n\nColumn {data-width=200 .sidebar}\n-----------------------------------------------------------------------\n\n```{r}\n\nsliderInput(\"start_slider\", \n label = \"Select trip start times to display (hour of day):\",\n min = 0, \n max = 24, \n value = c(7,10), \n step = 1)\n\nshow_trips_df <- reactive({\n\n trips_df %>%\n filter(start_hour >= input$start_slider[1] &\n start_hour <= input$start_slider[2])\n\n})\n\n```\n\nColumn {data-width=450}\n-----------------------------------------------------------------------\n### Origins\n\n```{r}\n\nrenderLeaflet({\n \n show_trips_df() %>%\n rename(latitude = start_latitude,\n longitude = start_longitude) %>%\n group_by(start_station_id, latitude, longitude) %>%\n count() %>%\n leaflet() %>%\n addTiles() %>%\n addCircles(radius = ~n)\n \n})\n\n\n```\n\nColumn {data-width=350}\n-----------------------------------------------------------------------\n\n### Total Trips\n\n```{r}\n\nvalueBox(prettyNum(trips_df %>%\n nrow(), big.mark = ','), \n icon = 'fa-bicycle')\n\n\n```\n\n### Trips by Duration\n\n```{r}\n\ntrips_df %>%\n ggplot(aes(x = duration_min)) +\n theme_bw() +\n xlab('Trip Duration (min) \\n') +\n ylab('# trips') +\n geom_histogram() \n\n```\n\n\n"}