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title: “flexdashboard: Easy interactive dashboards for R” output: html_document

You can use flexdashboard to publish groups of related data visualizations as a dashboard. A flexdashboard can either be static (a standard web page) or dynamic (a Shiny interactive document). A wide variety of components can be included in flexdashboard layouts, including:

ggplot2 Plots

ggplot(mpg, aes(displ, hwy)) +
  geom_point() +
  geom_smooth()

## `geom_smooth()` using method = 'loess' and formula 'y ~ x'

htmlwidgets

highchart() %>%
  hc_add_series_map(usgeojson, USArrests, name = "Sales",
                    value = "Murder", joinBy = c("woename", "state"),
                    dataLabels = list(enabled = TRUE,
                                      format = '{point.properties.postalcode}')) %>%
  hc_colorAxis(stops = colstops) %>%
  hc_legend(valueDecimals = 0, valueSuffix = "%") %>%
  hc_mapNavigation(enabled = TRUE) %>%
  hc_add_theme(thm)

tables

library(DT)
datatable(iris, options = list(pageLength = 10))

base plots

plot(mpg$displ, mpg$hwy)

text

A more exhaustive list includes: Interactive JavaScript data visualizations based on htmlwidgets; R graphical output including base, lattice, and grid graphics; tabular data (with optional sorting, filtering, and paging); value boxes for highlighting important summary data; gauges for displaying values on a meter within a specified range; and text annotations of various kinds.