plot_str: Visualize data structure

In boxuancui/eda: Automate Data Exploration and Treatment

Visualize data structure

Description

Visualize data structures in D3 network graph

Usage

plot_str(
  data,
  type = c("diagonal", "radial"),
  max_level = NULL,
  print_network = TRUE,
  ...
)

Arguments

data	input data
type	type of network diagram. Defaults to diagonalNetwork.
max_level	integer threshold of nested level to be visualized. Minimum 1 nested level and defaults to all.
print_network	logical indicating if network graph should be plotted. Defaults to TRUE.
...	other arguments to be passed to plotting functions. See diagonalNetwork and radialNetwork.

Value

input data structure in nested list. Could be transformed to json format with most JSON packages.

See Also

str

Examples

## Visualize structure of iris dataset
plot_str(iris)

## Visualize object with radial network
plot_str(rep(list(rep(list(mtcars), 6)), 4), type = "r")

## Generate complicated data object
obj <- list(
  "a" = list(iris, airquality, list(mtcars = mtcars, USArrests = USArrests)),
  "b" = list(list(ts(1:10, frequency = 4))),
  "c" = lm(rnorm(5) ~ seq(5)),
  "d" = lapply(1:5, function(x) return(as.function(function(y) y + 1)))
)
## Visualize data object with diagnal network
plot_str(obj, type = "d")
## Visualize only top 2 nested levels
plot_str(obj, type = "d", max_level = 2)

boxuancui/eda documentation built on Feb. 2, 2024, 1:54 a.m.