Parka Printer
When you obtain your Parka Analysis, you can analyse it directly on the console using the Parka Printer.
import io.univalence.parka.{Parka, ParkaPrinter}
val pa = Parka(df1, d2f)("key")
println(ParkaPrinter.printParkaResult(pa.result))
On a simple Parka Analysis, you can obtain the following result :
Parka Result:
Inner:
Number of equal row: 0
Number of different row: 10
Differences by sequence of keys: Key (value) has 10 occurrences
Delta by key:
value:
Number of similarities: 0
Number of differences: 10
Describes:
Left: Right:
Histogram: Histogram:
100,00 | oooooooooooooooooooooo 2 0,00 | ooooooooooo 1
100,20 | oooooooooooooooooooooo 2 18,20 | oooooooooooooooooooooo 2
100,40 | oooooooooooooooooooooo 2 36,40 | oooooooooooooooooooooo 2
100,60 | oooooooooooooooooooooo 2 54,60 | oooooooooooooooooooooo 2
100,80 | oooooooooooooooooooooo 2 72,80 | oooooooooooooooooooooo 2
101,00 | oooooooooooooooooooooo 2 91,00 | ooooooooooo 1
value:
10,00 | ooooooooooo 1
28,20 | oooooooooooooooooooooo 2
46,40 | oooooooooooooooooooooo 2
64,60 | oooooooooooooooooooooo 2
82,80 | oooooooooooooooooooooo 2
101,00 | ooooooooooo 1
Outer:
Number of unique row on the left dataset: 0
Number of unique row on the right dataset: 1
Describe by key:
value:
Describes:
Left: Right:
Histogram:
100,00 | oooooooooooooooooooooo 1
100,20 | 0
100,40 | 0
100,60 | 0
100,80 | 0
101,00 | 0