describe.md

Returns DataFrame with general statistics for all ValueColumns.

describe [ columns ]

ColumnGroup and FrameColumns are traversed recursively down to ValueColumns.

Collected statistics:

• name — column name
• path — path to the column (for hierarchical DataFrame)
• type — type of values
• count — number of rows
• unique — number of unique values
• nulls — number of null values
• top — the most common not null value
• freq — top value frequency
• mean — mean value (for numeric columns)
• std — standard deviation (for numeric columns)
• min — minimal value (for comparable columns)
• median — median value (for comparable columns)
• max — maximum value (for comparable columns)

df.describe()

To describe only specific columns, pass them as an argument:

df.describe { age and name.allCols() }

val age by column<Int>()
val name by columnGroup()

df.describe { age and name.allCols() }

df.describe { "age" and "name".allCols() }