Options

library(tuichartr)
library(gapminder)
library(dplyr)
library(tidyr)

# Datas
dodge_cols <- gapminder_unfiltered %>% 
  filter(year %in% c(1950, 2007)) %>% 
  count(continent, year) %>% 
  complete(continent, year)

simple_cols <- gapminder_unfiltered %>% 
  filter(year == 2007) %>% 
  count(continent)

line_one <- gapminder %>% 
  filter(country == "Italy")

line_two <- gapminder_unfiltered %>% 
  filter(country == "Italy")

# Charts
dodge_cols <- tuichart("column") %>% 
  add_data(dodge_cols, aes(x = continent, y = n, group = year))

simple_cols <- tuichart("column") %>% 
  add_data(simple_cols, aes(x = continent, y = n))

line_one <- tuichart("line") %>% 
  add_data(line_one, aes(x = year, y = gdpPercap))

line_two <- tuichart("line") %>% 
  add_data(line_two, aes(x = year, y = gdpPercap))

Chart

Set title :

dodge_cols %>% 
  tui_chart(title = "Chart title")

Format value:

dodge_cols %>% 
  tui_chart(format = "0.00") # force 2 decimal

Or use "1,000" for use a comma as thousand separator.

Legend

dodge_cols %>% 
  tui_legend(
    visible = TRUE, # hide or show
    align = "bottom", # or top, left, right
    showCheckbox = FALSE # hide or show checkbox to select serie
  )

Series

simple_cols %>% 
  tui_series(
    showLabel = TRUE, # show bars value
    barWidth = 100
  )

dodge_cols %>% 
  tui_series(
    stackType = "percent"
  )

There are specific options depending on the type of graph. Example for lines:

line_one %>% 
  tui_series(
    showDot = TRUE, # whether show dot or not
    spline = TRUE, # whether spline chart or not
    zoomable = TRUE # whether can zoom by mouse drag or not
  )

Axis

line_two %>% 
  tui_xAxis(
    tickInterval = "auto", # automatic labels
    title = "X axis title" # title
  ) %>% 
  tui_yAxis(
    max = 50000 # y max value
  )