Input DataFrame: rowsCount = 7, columnsCount = 5
name | age | city | weight | isHappy |
---|
firstName | lastName | | | | |
---|
Alice | Cooper | 15 | London | 54 | true |
Bob | Dylan | 45 | Dubai | 87 | true |
Charlie | Daniels | 20 | Moscow | null | false |
Charlie | Chaplin | 40 | Milan | null | true |
Bob | Marley | 30 | Tokyo | 68 | true |
Alice | Wolf | 20 | null | 55 | false |
Charlie | Byrd | 30 | Moscow | 90 | true |
Output DataFrame: rowsCount = 6, columnsCount = 15
name | path | type | count | unique | nulls | top | freq | mean | std | min | p25 | median | p75 | max |
---|
firstName | [name, firstName] | String | 7 | 3 | 0 | Charlie | 3 | null | null | Alice | Alice | Bob | Charlie | Charlie |
lastName | [name, lastName] | String | 7 | 7 | 0 | Cooper | 1 | null | null | Byrd | Chaplin | Daniels | Dylan | Wolf |
age | [age] | Int | 7 | 5 | 0 | 20 | 2 | 28.571429 | 11.073349 | 15 | 20.0 | 30.0 | 38.3 | 45 |
city | [city] | String? | 7 | 6 | 1 | Moscow | 2 | null | null | Dubai | London | Milan | Moscow | Tokyo |
weight | [weight] | Int? | 7 | 6 | 2 | 54 | 1 | 70.800000 | 17.108477 | 54 | 54.7 | 68.0 | 88.0 | 90 |
isHappy | [isHappy] | Boolean | 7 | 2 | 0 | true | 5 | null | null | false | false | true | true | true |