The “h2o.summary” Function in R

• Package: h2o

• Purpose: To compute summary statistics for an H2O data frame.

• General Class: Data Summary

• Required Argument(s):

• object: H2OFrame. The H2O data frame for which summary statistics are computed.

• Notable Optional Arguments:

• factors: Integer. Specifies the number of factors to include in the summary. The default is 6, showing the top factors.

• exact_quantiles: Logical. If TRUE, compute exact quantiles. The default is FALSE.

• Example (with Explanation):

• # Load necessary package
  library(h2o)
  
  # Initialize H2O
  h2o.init()
  
  # Load a sample dataset
  data <- h2o.importFile("https://s3.amazonaws.com/h2o-public-test-data/smalldata/iris/iris_wheader.csv")
  
  # Compute summary statistics for the dataset
  summary <- h2o.summary(data)
  
  # Print the summary
  print(summary)

• In this example, the h2o.summary function from the h2o package is used to compute summary statistics for the iris dataset loaded into an H2O data frame. The resulting summary includes statistics such as mean, minimum, maximum, and quantiles for numeric columns, as well as frequency counts for categorical columns.