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Visualize pearson correlation coefficient matrix in tableau 

Data Viz Canvas
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A correlation coefficient is a matrix used to analyse the dependency or similarities between multiple variable at the same time. The result is table showing correlation coefficients between multiple variables. In tableau we have a function that calculates the Pearson correlation coefficient and in this tutorial we are going to learn how to visualise the correlation coefficient matrix in tableau.
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⏱ TIMESTAMPS
00:00​ - Introduction
02:53 - Connect to datasource
04:18 - Create a correlation coefficient chart in tableau
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17 июл 2024

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Комментарии : 11   
@ragragrec1
@ragragrec1 8 месяцев назад
Excellent tutorial, thankyou so much just what I was looking for!
@DataVizCanvas
@DataVizCanvas 6 месяцев назад
I am glad you find it helpful. Thanks for supporting my channel and stay tuned for more such tutorials :-)
@MichaelMcCreary1
@MichaelMcCreary1 11 месяцев назад
Great video, simple, easy to follow and adapt to other datasets. I tried a few other sources for this and this was the best I found. Thanks for making this!
@DataVizCanvas
@DataVizCanvas 10 месяцев назад
Thanks Michael for your feedback. I’m glad that you find this helpful. Please feel free to share this in your network so other members of the community can benefit form it as well. Cheers!
@nurulaneeshabintimdzina18c30
@nurulaneeshabintimdzina18c30 2 года назад
Hi, can i know how does the datasheet looks like? Is there any reference for it?
@DataVizCanvas
@DataVizCanvas 2 года назад
You can download the dashboard from tableau public and can download the data from the desktop version. public.tableau.com/app/profile/gurpreet.singh2669/viz/HowtovisualizePearsonCorrelationCoefficientinTableau/CorrelationCoefficient Hope that helps Cheers!
@GFXHDTV
@GFXHDTV 10 месяцев назад
why you don't link the dataset ?
@DataVizCanvas
@DataVizCanvas 10 месяцев назад
Sample Superstore is the data set used for this dashboard and is available on tableau desktop by default. alternatively you could download the dashboard from my public profile and export the data set. Please let me know in case of any issues. Cheers!
@beverlyjohnson2318
@beverlyjohnson2318 2 года назад
A+. Want likes? -> P r o m o s m!!!
@kkpw12
@kkpw12 5 месяцев назад
at 5:11 my dashbaord does not create matrix rather diagonal line of Abc
@user-sh4nc6pj4f
@user-sh4nc6pj4f 6 месяцев назад
Around 3:37 you mis-speak about the relation you're making. You say 'unique key' when referring to Order ID, which is confusing. If Order ID was itself a unique key to the table, that would mean every record would have a unique value, and thus when you performed a self join, you would not introduce any new information into each row. This is very misleading, because if you did a correlation calculation with a join introducing no new information, then you would only be able to compare each subcategory to itself (due to the order of the vectors) and thus would get no meaningful correlation out. I just wanted to bring this up, as I was confused by this point when watching the video. And it is important to understand how a self join will behave when attempting to calculate correlations in the fashion you demonstrate. Thanks for the video regardless!
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