让图表响应输入
现在让我们的仪表板根据用户输入发生变化。
本练习是课程的一部分
使用 flexdashboard 构建仪表板
练习说明
- 对于起点地图，使用具有反应性的 "dataframe"
show_trips_df，让图表对输入做出响应。 - 运行文档，修改输入，观察哪些会改变、哪些不会。
交互式实操练习
通过完成这段示例代码来试试这个练习。
{"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\n 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\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"}