Pivot
Pivot columns into rows and columns. Values are count of pairs of rows and columns or aggregation of another column.
- Click "+" button and select "Pivot"
- You can also select "Pivot" from column menu of the column you want to 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.
- 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 |
Last modified 1yr ago