# apexcharts.js raw api --------------------------------------------------- library(apexcharter) library(ggplot2) # for data library(dplyr) # bar ---- data(mpg) dat <- count(mpg, manufacturer) apexcharter(ax_opts = list( chart = list(type = "bar"), plotOptions = list( bar = list( horizontal = FALSE, endingShape = "flat", columnWidth = "70%", dataLabels = list( position = "top" ) ) ), colors = list("#112446"), grid = list( show = TRUE, position = "front" ), series = list(list( name = "Count", data = dat$n )), xaxis = list(categories = dat$manufacturer) )) # line ---- # recreating (mostly): https://apexcharts.com/javascript-chart-demos/line-charts/data-labels/ apexcharter(ax_opts = list( chart = list( type = "line" ), stroke = list( curve = "smooth" ), grid = list( borderColor = "#e7e7e7", row = list( colors = c("#f3f3f3", "transparent"), opacity = 0.5 ) ), dataLabels = list( enabled = TRUE ), markers = list(style = "inverted", size = 6), series = list( list( name = "High", data = c(28, 29, 33, 36, 32, 32, 33) ), list( name = "Low", data = c(12, 11, 14, 18, 17, 13, 13) ) ), title = list( text = "Average High & Low Temperature", align = "left" ), xaxis = list( categories = month.abb[1:7] ), yaxis = list( title = list(text = "Temperature"), labels = list( formatter = htmlwidgets::JS("function(value) {return value + '°C';}") ) ) ))