将输入移动到图表框中
让我们把用户输入移动到其影响的图表中。
本练习是课程的一部分
使用 flexdashboard 构建仪表板
练习说明
- 将滑块从侧边栏移动到「行程时长」图表中，放在图形上方。
- 从仪表板中移除侧边栏。
- 留意图表中输入滑块与图形的布局，以及它是否能恰当地填满该框。
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/repositories/1448/datasets/1f12031000b09ad096880bceb61f6ca2fd95e2eb/sanfran_bikeshare_joined_oneday.csv') %>%\n mutate(duration_min = duration_sec / 60) %>%\n filter(duration_min <= 8 * 60) # filtering out trips over 8 hours as suspicious\n\n```\n\nColumn {data-width=200 .sidebar}\n-----------------------------------------------------------------------\n\n```{r}\nsliderInput(\"duration_bin\", label = \"Select # of minutes to bin trip durations:\",\nmin = 1, max = 15, value = 5, step = 1)\n```\n\nColumn {data-width=450}\n-----------------------------------------------------------------------\n\n### Origins\n\n```{r}\n\nrenderLeaflet({\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\nrenderValueBox({\n valueBox(prettyNum(trips_df %>%\n nrow(), big.mark = ','), \n icon = 'fa-bicycle')\n})\n\n```\n\n### Trip Durations\n\n```{r}\n\nrenderPlot({trips_df %>%\n mutate(`Trip Duration (min)` = duration_sec / 60) %>%\n ggplot(aes(x = `Trip Duration (min)`)) +\n theme_bw() +\n geom_histogram(binwidth = input$duration_bin) +\n ylab('# Trips')\n})\n\n\n```\n\n\n"}