radiant.data (version 1.6.2)

explore: 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()
)

Value

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

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

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