Distplot – Seaborn




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We do our first dive into seaborn. I show you the initial commands that you will want to run in order to get seaborn working and then we go through distplot. I show off all the functionality and talk about KDE.

Associated Github commit:
https://github.com/knathanieltucker/seaborn-weird-parts/commit/c273aaa9a83a57d2c907f3959a2f95a2ea49472e

Associated Seaborn Links:
http://seaborn.pydata.org/generated/seaborn.distplot.html#seaborn.distplot
http://seaborn.pydata.org/tutorial/distributions.html

KDE Link:
https://en.wikipedia.org/wiki/Kernel_density_estimation

Source


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Comment List

  • Data Talks
    December 3, 2020

    This video helps me alot! Thanks!

  • Data Talks
    December 3, 2020

    Things I learned from this lecture:
    Displot
    *When : Single variable, trying to figure out how it is distributed
    *How it looks: Histogram + KDE(kernel density estimation)(Both of them are normed(sum=1))
    *(norm_hist = False) : literally shows the count
    *KDE?: Sum the normal distributions up and normalize it

  • Data Talks
    December 3, 2020

    I thought for distplot when you add up everything it doesn't equal to 1. https://stackoverflow.com/questions/51666784/what-is-y-axis-in-seaborn-distplot

  • Data Talks
    December 3, 2020

    By any chance , can we know the parameters of the gamma distribution which has been fit to the data?
    Btw i liked your "data talk"

  • Data Talks
    December 3, 2020

    I honestly prefer to set %matplotblib notebook

  • Data Talks
    December 3, 2020

    Hey, thanks for the Video. But how does the file 'tips' look like ?

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