plotly_packed_bar {rPackedBar}

Create a 'plotly' packed bar chart

Description

Packed bar charts are a variation of treemaps for visualizing skewed data. The concept was introduced by XanGregg at JMP (https://community.jmp.com/t5/JMP-Blog/Introducing-packed-bars-a-new-chart-form/ba-p/39972).

Usage

plotly_packed_bar(input_data, label_column, value_column,
  number_rows = "guess", plot_title = "", xaxis_label = "",
  hover_label = "", min_label_width = 0.03,
  color_bar_color = "steelblue", label_color = "black")

Arguments

input_data

data.frame with data to plot, should have a column of labels for bars and column of numbers relating to bar length

label_column

either the column number or quoted name in input_data to be used as labels (will be used by [[ to subset)

value_column

either the column number or quoted name in input_data to be used as numbers for bar lengths (will be used by [[ to subset). See details.

number_rows

The number of rows to occur in barchart (i.e. the number of colored bars). The default of 'guess' will attempt to find the 'elbow' in the numeric data with a min value of 3 and a max of 25.

plot_title

main title for plot

xaxis_label

label to put on xaxis

hover_label

text to appear by number in hover information (typically same as xaxis label)

min_label_width

min relative length of bar to receive a static label (too small and text will overflow sides of bar)

color_bar_color

color of main bars in chart (can be name or hex) remaining bars will be variations of gray

label_color

color of text labels that appear over colored bars

Details

The packed barchart currently only works for uniformly positive or uniformly negative data; negative values will be removed before plotting when mixed data is provided.

Value

'plotly' object of the packed bar chart

Examples

## Not run: 
data(GNI2014, package = 'treemap')

data.table::setDT(GNI2014)
my_input_data = GNI2014[,sum(population), by=country]

plotly_packed_bar(my_input_data,
                  label_column    = "country",
                  value_column    = "V1",
                  plot_title      = "Population 2014",
                  xaxis_label     = "Population",
                  hover_label     = "Population",
                  min_label_width = .025,
                  color_bar_color = "orange")

## End(Not run)