Color indicators
Let's imagine the bike share company has a goal to have two thirds of their trips under 10 minutes to maximize bike availability. We can indicate their success based on the gauge color.
Este exercício faz parte do curso
Building Dashboards with flexdashboard
Instruções do exercício
- Add sectors to the "% Short Trips" gauge where 67 and up is success, 32 and below is danger, and warning is in between.
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
{"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(tidyverse)\nlibrary(lubridate)\n\ntrips_df <- read_csv('https://assets.datacamp.com/production/course_6355/datasets/sanfran_bikeshare_joined_oneday.csv')\n```\n\nColumn {data-width=650}\n-----------------------------------------------------------------------\n\n### Origins\n\n\nColumn {data-width=350}\n-----------------------------------------------------------------------\n\n### Median Trip Length\n\n\n### % Short Trips\n\n```{r}\n\nnum_trips <- nrow(trips_df)\nshort_trips <- sum(trips_df$duration_sec < 600) # under 10 min\npct_short_trips <- round(100 * short_trips / num_trips, 0)\n\ngauge(value = pct_short_trips,\n min = 0,\n max = 100)\n\n```\n\n### Trips by Start Time\n\n\n"}