Pivot

Pivot columns into rows and columns. Values are count of pairs of rows and columns or aggregation of another column.

How to Access This Feature

  • Click "+" button and select "Pivot"

From Column Menu

  • You can also select "Pivot" from column menu of the column you want to pivot.

Pivot

  1. Rows - select columns for Pivot Row.

  2. Columns - select colums for Pivot Columns.

  3. Value (Optional) - A column for values in output data frame.

Parameters

  • Remove NA - The default is TRUE. If NA should be removed from value.

  • Fill NA with - The default is 0. This is what should be used for missing value in groups.

Example

Original data:

clarity

certification

colour

price

VVS2

HRD

F

10796

VS1

GIA

F

1551

VS1

GIA

F

4291

VVS2

GIA

F

5881

VS2

GIA

H

4585

VVS2

GIA

H

5193

if you set row: clarify, colour columns: certification value: price fill:0 it returns data frame with rows of combinations of clarity and colour and with columns of certification. Values are sum of price and missing values are filled by 0.

clarity_colour

GIA

HRD

VS1_F

5842

0

VS2_H

4585

0

VVS2_F

5881

10796

VVS2_H

5193

0