Комментарии:
Thanks!
ОтветитьThank you
I think that the series would be much better if it was distinguished when and why to use these different graphs and what do they mean statistically
Thanks so much for the wonderful video tutorial. You have what it takes to teach and speak clearly whatever the subject is. Awesome!
ОтветитьKimberly, these are really great videos. At higher age, I am hitting University again for DH and python, pandas and co are giving me a hard time. You make it all look so easy, and it functions with me. Thank you so much. God bless you and have a good start into 2023.
ОтветитьGreat!
Ответитьthanks a lot
Ответитьvery useful video
ОтветитьThanks Kimberly, for making such a detailed video on each plots. Loved the whole playlist :)
ОтветитьSo cool and easy to learn...Nice Explanation ..please do more .Thank you..!!
ОтветитьThank you for the videos! Is it possible to make a 3D plot of the bivariate data, using a histplot or KDE plot, so for example you would see "mountain" peaks for high frequencies, and "lowlands" for low frequencies?
ОтветитьThank you for an interesting and well put tutorial on how to use Seaborn! I have one question regarding the Hue. I get this error when calling for a column name that has 8 different words in it.ValueError: The following variable cannot be assigned with wide-form data: `hue`. Any idea why this is happening? When I'm plotting a sns.relplot with the same data it works fine
Ответитьhey! how can I create a histogram with the horizontal axis as the data and the vertical axis as the absolut frecuency?? If anyone can help me I will be very grateful, thanks in advance!
Ответитьyour videos are amazing!!! thank you
ОтветитьYou kept it so simple . Nice Explanation :):)
ОтветитьThank you :D
ОтветитьQuick & to the point! Sweet!! TQVM.
ОтветитьUr lectures are awesome....😍 Keep going🔥
ОтветитьThank you very much Kimberly :)
ОтветитьThanks alot mam
ОтветитьThank you so much for your hard work put into this video! It helped me a lot :)
ОтветитьThanks for this video. You're amazing. It helps a lot.
ОтветитьThank you for the amazing explanation, I have a qs: what plot should i use to view distribution? Only histogram?
Ответитьplaying with keywords is always a great deal, beautiful explanation of all useful keywords.....
Ответитьhello madam, i have version 10, how can upgrade to 11.can you please tell me.
Ответить