एकल चार्ट पर इनपुट लागू करें
आइए एक इनपुट को एक ही चार्ट पर लागू करने का अभ्यास करें।
यह अभ्यास पाठ्यक्रम का हिस्सा है
flexdashboard के साथ डैशबोर्ड बनाना
अभ्यास निर्देश
duration_binस्लाइडर के अनुसार binwidth बदलकर Trip Durations चार्ट को रिएक्टिव बनाइए.
इंटरैक्टिव व्यावहारिक अभ्यास
इस अभ्यास को इस नमूना कोड को पूरा करके आज़माएँ।
{"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\n```\n\nColumn {data-width=200 .sidebar}\n-----------------------------------------------------------------------\n\n```{r}\n\nsliderInput(\"duration_slider\", label = \"Select maximum trip duration to display (in minutes):\",\n min = 0, max = 120, value = 15, step = 5, dragRange = TRUE)\n\nsliderInput(\"duration_bin\", label = \"Select # of minutes to bin trip durations:\",\n min = 1, max = 15, value = 1, step = 1)\n\nshow_trips_df <- reactive({\n\n trips_df %>%\n filter(duration_sec <= input$duration_slider * 60)\n\n})\n```\n\nColumn {data-width=450}\n-----------------------------------------------------------------------\n\n### Origins\n\n```{r}\n\nrenderLeaflet({\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\nColumn {data-width=350}\n-----------------------------------------------------------------------\n\n### Total Trips\n\n```{r}\n\nrenderValueBox({\n valueBox(prettyNum(show_trips_df() %>%\n nrow(), big.mark = ','), \n icon = 'fa-bicycle')\n})\n\n```\n\n### Trips by Start Time\n\n```{r}\n\nrenderPlot({show_trips_df() %>%\n mutate(hour = hour(start_date)) %>%\n group_by(hour) %>%\n summarize(`Trips Started` = n()) %>%\n ggplot(aes(x = hour, y = `Trips Started`)) +\n theme_bw() +\n ylab('Trips Started \\n') +\n geom_bar(stat = 'identity') \n})\n\n\n```\n\n### Trip Durations\n\n```{r}\n\nrenderPlot({show_trips_df() %>%\n mutate(`Trip Duration (min)` = duration_sec / 60) %>%\n ggplot(aes(x = `Trip Duration (min)`)) +\n theme_bw() +\n geom_histogram() +\n ylab('# Trips')\n})\n\n\n```\n\n\n"}