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

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  • čas přidán 19. 02. 2023
  • 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.com/file/d/15li7...
    Support me to make more videos: www.paypal.me/jessicasheng?lo...

Komentáře • 21

  • @massimo5019
    @massimo5019 Před 10 měsíci +2

    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.

  • @user-hb7rt9gv8t
    @user-hb7rt9gv8t Před 2 měsíci +1

    Love you! Thanks for your work

  • @ilyaschachoua4183
    @ilyaschachoua4183 Před 11 měsíci +1

    Great content. Please continue. Thanks

  • @bilalaz123
    @bilalaz123 Před 3 měsíci +1

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

  • @Tony-oi3mw
    @Tony-oi3mw Před 3 měsíci +1

    Thank you for this tutorial.

  • @seriouslycirrus7341
    @seriouslycirrus7341 Před 4 měsíci +1

    Good stuff! Thank you.

  • @TheMaxKids
    @TheMaxKids Před 10 měsíci +1

    wonderful! subscribed

  • @user-zd6ih9xb4c
    @user-zd6ih9xb4c Před 10 měsíci

    Thank u mam for giving a valuable content.

  • @OscarAraya92
    @OscarAraya92 Před 3 měsíci +1

    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
    @thanomnoimoh9299 Před měsícem

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

  • @juliaparra4035
    @juliaparra4035 Před 10 měsíci +1

    very well explained, thanks for your work. you got a new subscriber