explore: Explore and summarize data

In radiant-rstats/radiant.data: Data Menu for Radiant: Business Analytics using R and Shiny

Explore and summarize data

Description

Explore and summarize data

Usage

explore(
  dataset,
  vars = "",
  byvar = "",
  fun = c("mean", "sd"),
  top = "fun",
  tabfilt = "",
  tabsort = "",
  tabslice = "",
  nr = Inf,
  data_filter = "",
  arr = "",
  rows = NULL,
  envir = parent.frame()
)

Arguments

dataset	Dataset to explore
vars	(Numeric) variables to summarize
byvar	Variable(s) to group data by
fun	Functions to use for summarizing
top	Use functions ("fun"), variables ("vars"), or group-by variables as column headers
tabfilt	Expression used to filter the table (e.g., "Total > 10000")
tabsort	Expression used to sort the table (e.g., "desc(Total)")
tabslice	Expression used to filter table (e.g., "1:5")
nr	Number of rows to display
data_filter	Expression used to filter the dataset before creating the table (e.g., "price > 10000")
arr	Expression to arrange (sort) the data on (e.g., "color, desc(price)")
rows	Rows to select from the specified dataset
envir	Environment to extract data from

Details

See https://radiant-rstats.github.io/docs/data/explore.html for an example in Radiant

Value

A list of all variables defined in the function as an object of class explore

See Also

See summary.explore to show summaries

Examples

explore(diamonds, c("price", "carat")) %>% str()
explore(diamonds, "price:x")$tab
explore(diamonds, c("price", "carat"), byvar = "cut", fun = c("n_missing", "skew"))$tab

radiant-rstats/radiant.data documentation built on Jan. 19, 2024, 12:21 p.m.