Imputing With Median¶
Imputing with median
Type¶
transform
Class¶
fire.nodes.ml.NodeReplaceMissingValueWithMedian
Fields¶
Name |
Title |
Description |
|---|---|---|
colNames |
Input Columns |
Input column of type - all numeric for median impute |
Details¶
This node imputes the missing values in the specified columns by median of the values in the column.
Examples¶
Incoming Dataframe has following rows and [AGE] column has missing value / [NULL] for some rows:
CUST_CD | CUST_NAME | AGE
------------------------------------------
C01 | MATT | 50
C02 | LISA | 45
C03 | ROBIN |
C04 | MARCUS |
C05 | MARK | 30
C06 | DAVID | 30
C07 | ANTHONY | 90
If imputingwithmedianvalue node is configured to Impute [AGE] with median value then missing values in [AGE] column would be replaced with 45 which is the median of [AGE] column.
Outgoing Dataframe would result as below:
CUST_CD | CUST_NAME | AGE
------------------------------------------
C01 | MATT | 50
C02 | LISA | 45
C03 | ROBIN | 45
C04 | MARCUS | 45
C05 | MARK | 30
C06 | DAVID | 30
C07 | ANTHONY | 90