Correlation Coefficient in Beastmode

Has anyone successfully calculated a Pearson Correlation Coefficient in Beastmode? My idea is to create a scatter plot that graphically displays the relationship between two fields in a dataset, and display the Correlation Coefficient for those two datasets as the Summary Number.

For example, if the card is filtered for a date range of March 1 - March 31, the key fields in the underlying dataset might look like the following table, which would result in a Correlation Coefficient of 0.5669 (this is the value that I would want to display as the Summary Number for the card). Is this possible?

Thanks!

Revenue	Duration
$603	185
$262	123
$906	287
$429	179
$872	266
$302	160
$185	126
$596	293
$481	234
$173	104
$628	11
$296	194
$272	46

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Accepted answers

Dean_Wangerin

I also cannot get the corr() function to work. However I did get it to work by manually creating the sql math in a beastmode.

Use this code:

(count(x) * sum(x * y) - sum(x) * sum(y)) / (sqrt(count(x) * sum(x * x) - sum(x) * sum(x)) * sqrt(count(x) * sum(y * y) - sum(y) * sum(y)))

Then replace x and y with your measure names.

jaeW_at_Onyx

How to build a correlation plot to compare multiple variables!

All comments

BlueRooster

You can do it in a data transform, but couldn't in a beastmode as far as my testing.

You'll need to create a data transform that calculates the Pearson R using the following logic:

(Avg(`Revenue` * `Duration`) – (Avg(`Revenue`) * Avg(`Duration`))) / (STDDEV_POP(`Revenue`) * STDDEV_POP(`Duration`))

You have to break it into 2 selects, the first:

SELECT 	 Avg(`Revenue` * `Duration`) AS a,
(Avg(`Revenue`) * Avg(`Duration`)) AS b,
(STDDEV_POP(`Revenue`) * STDDEV_POP(`Duration`)) as c
FROM testing

And the 2nd:

SELECT (`a`-`b`)/`c` as 'Pearson r'
FROm transform_data_1

As you can see, this will give you the correct result:

From there you can basically do the following

SELECT *, (SELECT `Pearson R` from PearsonCalculation) as `Pearson`
FROM dataset

Then use a beastmode for MAX(`Pearson R`) as your summary number. It won't be dynamic where you can change the date range, but maybe someone else can figure out a way to get the beastmode portion to work.

Sincerely,

ValiantSpur

**Please mark "Accept as Solution" if this post solves your problem
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BlueRooster

Second option is to use the Corr function (which does a Pearson Correlation for you)

corr(`Duration`,`Revenue`)

You can use that as a beastmode but it doesn't let you put it in the summary number.

nitot

Thanks for your ideas! I'll try the first one later on. I did try using the Corr() function in beastmode, but regardless of which fields I use I keep receiving the error "An issue has occurred during processing. We are unable to complete the request at this time." I noticed that Corr does not appear in the Functions list - perhaps it is in beta version?

BlueRooster

I don't believe so, we aren't running any beta versions in our production environment and I was able to get it to work. Perhaps make sure both fields are integers?

nitot

I've tried multiple times to make the corr() function work, even creating a very simple test dataset that matches the one I provided earlier. No matter what I try, the formula validates, but I always receive the error

"An issue has occurred during processing. We are unable to complete the request at this time."

Have you gotten the corr() function to work?

Thanks again for all your help

BlueRooster

Yes, I was actually able to use your test dataset, create a beastmode with the corr function and then it worked fine. It sounds like it may be worth reaching out to Domo Support at this point. There may be a quirk going on with your instance.

Ritwik

@nitot @Valiant

I'm also struggling with getting the corr() beastmode to manifest in a card without throwing back that error. Any thoughts on why the error occurs as I reach out to support in the meantime?

Dean_Wangerin

I also cannot get the corr() function to work. However I did get it to work by manually creating the sql math in a beastmode.

Use this code:

(count(x) * sum(x * y) - sum(x) * sum(y)) / (sqrt(count(x) * sum(x * x) - sum(x) * sum(x)) * sqrt(count(x) * sum(y * y) - sum(y) * sum(y)))

Then replace x and y with your measure names.

nitot

Smart workaround!

jaeW_at_Onyx

How to build a correlation plot to compare multiple variables!

[Deleted User]

@jaeW_at_Onyx I cleaned up your post.

Going forward use the word editor click on video and drop the youtube url in there "from the web".

Keep these coming.

Cheers!