# h2o.summary

##### Summarizes the columns of an H2OFrame.

A method for the `summary`

generic. Summarizes the columns of an H2O data frame or subset of
columns and rows using vector notation (e.g. dataset[row, col]).

##### Usage

`h2o.summary(object, factors = 6L, exact_quantiles = FALSE, ...)`# S3 method for H2OFrame
summary(object, factors, exact_quantiles, ...)

##### Arguments

- object
An H2OFrame object.

- factors
The number of factors to return in the summary. Default is the top 6.

- exact_quantiles
Compute exact quantiles or use approximation. Default is to use approximation.

- ...
Further arguments passed to or from other methods.

##### Details

By default it uses approximated version of quantiles computation, however, user can modify this behavior by setting up exact_quantiles argument to true.

##### Value

A table displaying the minimum, 1st quartile, median, mean, 3rd quartile and maximum for each numeric column, and the levels and category counts of the levels in each categorical column.

##### Examples

```
# NOT RUN {
library(h2o)
h2o.init()
prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate <- h2o.importFile(path = prostate_path)
summary(prostate)
summary(prostate$GLEASON)
summary(prostate[,4:6])
summary(prostate, exact_quantiles=TRUE)
# }
```

*Documentation reproduced from package h2o, version 3.22.1.1, License: Apache License (== 2.0)*