describe

• name — The name of the column.

• path — path to the column (for hierarchical DataFrame)

• type — The data type of the column (e.g., Int, String, Boolean).

• count — The total number of non-null values in the column.

• unique — The number of unique values in the column.

• nulls — The count of null (missing) values in the column.

• top — The most frequently occurring value in the column.

• freq — The frequency of the most common value.

• mean — The arithmetic mean (only for numeric columns).

• std — The standard deviation (only for numeric columns).

• min — The minimum value in the column.

• p25 — The 25th percentile value (first quartile).

• median — The median value (50th percentile / second quartile).

• p75 — The 75th percentile value (third quartile).

• max — The maximum value in the column.

For non-numeric columns, statistical metrics such as mean and std will return null. If column values are incomparable, percentile values (min, p25, median, p75, max) will also return null.

df.describe()

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

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

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