I have a table with a column that allows nulls. If the value is null it is incomplete. I want to calculate the percentage complete.
Can this be done in MySQL through SQL or should I get the total entries and the total null entries and calculate the percentage on the server?
Either way, I'm very confused on how I need to go about separating the variable_value so that I can get its total results and also its total NULL results.
SELECT
games.id
FROM
games
WHERE
games.category_id='10' AND games.variable_value IS NULL
This gives me all the games where the variable_value is NULL. How do I extend this to also get me either the TOTAL games or games NOT NULL along with it?
Table Schema:
id (INT Primary Auto-Inc)
category_id (INT)
variable_value (TEXT Allow Null Default: NULL)
To find the percentage of missing values in each column of an R data frame, we can use colMeans function with is.na function. This will find the mean of missing values in each column. After that we can multiply the output with 100 to get the percentage.
SELECT
SUM(CASE WHEN G.variable_value IS NOT NULL THEN 1 ELSE 0 END)/COUNT(*) AS pct_complete
FROM
Games G
WHERE
G.category_id = '10'
You might need to do some casting on the SUM() so that you get a decimal.
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