Product:TIBCO Spotfire Analyst
Versions:All
Summary:
This article describes how to determine if a column is empty or not in TIBCO Spotfire client.
Details:
Consider the following dataset where the "Profession" column has a few empty rows.
Dataset:
Name Age Profession
sherlock 40 ""
Watson 38 Doctor
Resolution:
One method to identify the empty values is by using a calculated column with the following expression:
If(Len([Profession])=0,"Is Empty","Not Empty")
The above expression calculates the length of the column "Profession". If if the length is 0, it will display "Is Empty" otherwise it will result in "Not Empty".
Note: if the column could also contain null values - not just empty strings - those will not get the value "Is Empty". Null values are handled separately and will be displayed as "(Empty)". If empty and null values should be treated the same, consider adding the SN (Substitute Null) function to the expression to replace the null values:
SN(If(Len([Profession])=0,"Is Empty","Not Empty"),"Is Empty")
If you have a numeric or date column and want to check for null values, the "Is Null" and "Is Not Null" functions could be used:
If([MyDateColumn] Is Null,"A null value","Not a null value")
Versions:All
Summary:
This article describes how to determine if a column is empty or not in TIBCO Spotfire client.
Details:
Consider the following dataset where the "Profession" column has a few empty rows.
Dataset:
Name Age Profession
sherlock 40 ""
Watson 38 Doctor
Resolution:
One method to identify the empty values is by using a calculated column with the following expression:
If(Len([Profession])=0,"Is Empty","Not Empty")
The above expression calculates the length of the column "Profession". If if the length is 0, it will display "Is Empty" otherwise it will result in "Not Empty".
Note: if the column could also contain null values - not just empty strings - those will not get the value "Is Empty". Null values are handled separately and will be displayed as "(Empty)". If empty and null values should be treated the same, consider adding the SN (Substitute Null) function to the expression to replace the null values:
SN(If(Len([Profession])=0,"Is Empty","Not Empty"),"Is Empty")
If you have a numeric or date column and want to check for null values, the "Is Null" and "Is Not Null" functions could be used:
If([MyDateColumn] Is Null,"A null value","Not a null value")
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