Explore and summarize data
Explore and summarize data
explore(
dataset,
vars = "",
byvar = "",
fun = c("mean", "sd"),
top = "fun",
tabfilt = "",
tabsort = "",
nr = Inf,
data_filter = "",
envir = parent.frame()
)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)") |
nr |
Number of rows to display |
data_filter |
Expression used to filter the dataset before creating the table (e.g., "price > 10000") |
envir |
Environment to extract data from |
See https://radiant-rstats.github.io/docs/data/explore.html for an example in Radiant
A list of all variables defined in the function as an object of class explore
See summary.explore to show summaries
explore(diamonds, c("price", "carat")) %>% str()
explore(diamonds, "price:x")$tab
explore(diamonds, c("price","carat"), byvar = "cut", fun = c("n_missing", "skew"))$tabPlease choose more modern alternatives, such as Google Chrome or Mozilla Firefox.