Storyboards
Laten we ons dashboard omzetten naar een storyboard.
Deze oefening maakt deel uit van de cursus
Dashboards bouwen met flexdashboard
Oefeninstructies
- Pas de header aan zodat het dashboard in storyboard-formaat wordt gepresenteerd.
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
{"my_document.Rmd":"---\ntitle: \"Bike Shares Daily\"\noutput: \n flexdashboard::flex_dashboard:\n orientation: columns\n vertical_layout: fill\n---\n\n```{r setup, 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/repositories/1448/datasets/1f12031000b09ad096880bceb61f6ca2fd95e2eb/sanfran_bikeshare_joined_oneday.csv')\n```\n\n### Most bikes are used only a few times, but a few are used a lot\n\n```{r}\n\ntrips_per_bike_df <- trips_df %>%\n group_by(bike_number) %>%\n summarize(n_trips = n()) %>%\n arrange(desc(n_trips)) \n\nbike_plot <- trips_per_bike_df %>%\n ggplot(aes(x = n_trips)) +\n geom_histogram(binwidth = 1) +\n ylab('') +\n xlab('Trips per bike') \n\nggplotly(bike_plot)\n\n```\n\n### Where did the most used bike go?\n\n```{r}\n\ntrips_df %>%\n filter(bike_number == trips_per_bike_df$bike_number[1]) %>%\n rename(latitude = start_latitude,\n longitude = start_longitude) %>%\n group_by(start_station_id, latitude, longitude) %>%\n count() %>%\n leaflet() %>%\n addTiles() %>%\n addMarkers()\n\n```\n\n\n"}