Explore this snippet here.
An essential part of cleaning a new data source is deciding how to treat missing values. The CASE
statement can help with replacing empty values with something else:
WITH data AS (
SELECT *
FROM (VALUES ('a'), ('b'), (''), ('d')) AS data (str)
)
SELECT
CASE WHEN LENGTH(str) != 0 THEN str END AS str
FROM data;
str |
---|
a |
b |
NULL |
d |