Pairplot - Seaborn

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We continue to build on our knowledge and look at the pairplot. I talk about how and when to use this plot, show regression functionality and talk about further expansions to this design.

Associated Github Link:

Associated Seaborn Documentation:
  1. Data Talks
  2. seaborn
  3. pairplot
  4. tutorial
  5. python
  6. joint
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Комментарии
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Hey Nataniel your videos were very helpful to me. I like that you go straight to the point. I was able to create all the plots I needed. Thanks for sharing your knowledge.

vivianbarros
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Things I learend from this lecture:
Pairplot
*When : For looking at correlations across multiple dimensions
*Categorize it by color : (hue=" ")
*(kind="reg") : regression

arhataria
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Thanks for all this videos, but I think that the weird parts is about the interpretation of the plots !!

abdelwahidbenzerrouk
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Thank you for your tutorial. Seaborn has been very helpful.

cu
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You were just saying "Its cool, its pretty useful, its very helpful", but never said how or why 😵‍💫😵‍💫😵‍💫

rvce
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thanks. How to change the font size of x and y axis?

excursion
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Hello
NICE video I just wanted to know when you are plotting “kind = reg” we also get confident intervals - but clearly there is heteroskedasticity present so OLS method is no longer BLUE (best linear unbiased estimator) so can we use confident intervals - are they valid?
Thank you

petrhrobar
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please share how to increase fontsize of legend and that of the feature names

karrikarthik
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Thanks for the tutorial. I was wondering if pairplots can be combined with Plotly to create interactive plots. The 'hue' feature in pairplot is great, and it would be awesome if we could just click on the legend to make the data active and inactive with Plotly.

neerajjain
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how do seaborn pairplot know not to take species into plotting.?

BitNeuron