Python Seaborn Visualization for Numeric Variables | Histogram, KDE (Kernel Density Estimate) Plot

In this tutorial, we are going to learn how to use python to analyze numeric variables. We will create histogram and KDE plot for a certain numeric variable.
The dataset we use in this tutorial can be downloaded in here: drive.google.c...
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[@massimo5019]

Nice work, I found your video very helpful. You have presented it in a professional way and above all it was simple to understand. Thank you from Italy.

[@jessicas9186]

Glad it was helpful!

[@bilalviewing]

The way you solve the real task is really great and followable, big thanks 👍🏼

[@jessicas9186]

Glad it was helpful!

[@Ematuresco]

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[@monishd6796]

Thank you for your help, i subscribed

[@jessicas9186]

Glad I could help

[@premjitsalam9365]

very good content loving it

[@Tony-oi3mw]

Thank you for this tutorial.

[@jessicas9186]

Welcome 😊

[@ilyaschachoua4183]

Great content. Please continue. Thanks

[@jessicas9186]

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[@user-hb7rt9gv8t]

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[@jessicas9186]

Thanks for your support!

[@seriouslycirrus7341]

Good stuff! Thank you.

[@jessicas9186]

Glad you liked it!

[@user-zd6ih9xb4c]

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[@jessicas9186]

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[@juliaparra4035]

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[@jessicas9186]

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[@TheMaxKids]

wonderful! subscribed

[@jessicas9186]

Thank you!😄

[@OscarAraya92]

Hi, great video, it has helped me a ton! I have a question. Is it possible to extract the KDE value it calculated or used to create the plot from one of those functions?

[@thanomnoimoh9299]

How many rows or maximum row of data or database when we use Seaborn or Matplotlib?