add-data: Add data to a 'tuichart'

In dreamRs/tuichartr: Create Interactive Visualisations with the JavaScript 'tui-chart' Library

Description

Method to add data is specific to chart's type, normally add_data should be enough.

Usage

add_data(tui, data, mapping)

add_default_data(tui, data, mapping)

add_pie_data(tui, data, mapping)

add_line_data(tui, data, mapping)

add_scatter_data(tui, data, mapping)

add_heat_data(tui, data, mapping)

add_tree_data(tui, data, mapping)

add_boxplot_data(tui, data, mapping)

add_map_data(tui, data, mapping)

Arguments

tui	A tuichart htmlwidget object.
data	A data.frame, or an object coercible to data.frame.
mapping	Default list of aesthetic mappings to use for chart.

Details

Aesthetics vary according to the type of graph:

• bar, column, line, area, radial, boxplot : x, y, and group (optional).

• pie : x, y.

• heatmap : x, y, value.

• treemap : leval1, (level2, level3, ...), value

• scatter, bubble : x, y, group (optional), label (optional), size (bubble).

Value

A tuichart htmlwidget object.

Examples

# line chart
sinus <- data.frame(
  x = seq_len(20),
  y = sin(seq(-pi, pi, length.out = 20))
)
tuichart("line") %>%
  add_data(sinus, aes(x, y))


# bar chart
tuichart("bar") %>%
  add_data(table(cyl = mtcars$cyl), aes(cyl, Freq))

#♦ with grouping variable
tuichart("bar") %>%
  add_data(table(cyl = mtcars$cyl, am = mtcars$am),
           aes(cyl, Freq, group = am))


# or pie chart
tuichart("pie") %>%
  add_data(table(cyl = mtcars$cyl), aes(cyl, Freq))


# treemap has different aesthetics
tuichart("treemap") %>%
  add_data(table(cyl = mtcars$cyl), aes(level1 = cyl, value = Freq))


# scatter plot
tuichart("scatter") %>%
  add_data(iris, aes(Sepal.Length, Sepal.Width, group = Species))

dreamRs/tuichartr documentation built on Aug. 8, 2020, 9:58 a.m.