Sales Report with Highcharter
In flexdashboard: R Markdown Format for Flexible Dashboards

library(highcharter)
library(dplyr)
library(viridisLite)
library(forecast)
library(treemap)
library(arules)
library(flexdashboard)

thm <- 
  hc_theme(
    colors = c("#1a6ecc", "#434348", "#90ed7d"),
    chart = list(
      backgroundColor = "transparent",
      style = list(fontFamily = "Source Sans Pro")
    ),
    xAxis = list(
      gridLineWidth = 1
    )
  )

Column {data-width=600}

Sales Forecast

AirPassengers %>% 
  forecast(level = 90) %>% 
  hchart() %>% 
  hc_add_theme(thm)

Sales by State

data("USArrests", package = "datasets")
data("usgeojson")

USArrests <- USArrests %>%
  mutate(state = rownames(.))

n <- 4
colstops <- data.frame(
  q = 0:n/n,
  c = substring(viridis(n + 1), 0, 7)) %>%
  list_parse2()

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)

Column {.tabset data-width=400}

Sales by Category

data("Groceries", package = "arules")
dfitems <- tbl_df(Groceries@itemInfo)

set.seed(10)

dfitemsg <- dfitems %>%
  mutate(category = gsub(" ", "-", level1),
         subcategory = gsub(" ", "-", level2)) %>%
  group_by(category, subcategory) %>% 
  summarise(sales = n() ^ 3 ) %>% 
  ungroup() %>% 
  sample_n(31)

tm <- treemap(dfitemsg, index = c("category", "subcategory"),
              vSize = "sales", vColor = "sales",
              type = "value", palette = rev(viridis(6)))

hctreemap(tm, allowDrillToNode = TRUE, layoutAlgorithm = "squarified") %>% 
  hc_add_theme(thm)

Best Sellers

set.seed(2)

nprods <- 10

dfitems %>% 
  sample_n(nprods) %>% 
  .$labels %>% 
  rep(times = sort(sample( 1e4:2e4, size = nprods), decreasing = TRUE)) %>% 
  factor(levels = unique(.)) %>% 
  hchart(showInLegend = FALSE, name = "Sales", pointWidth = 10) %>% 
  hc_add_theme(thm) %>% 
  hc_chart(type = "bar")