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Seaborn histplot | How to make a Seaborn histogram plot with Python code

  Рет қаралды 30,602

Kimberly Fessel

Kimberly Fessel

Күн бұрын

Пікірлер: 40
@sprachenwelt
@sprachenwelt Жыл бұрын
Kimberly, 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.
@rakeshkumarkuwar6053
@rakeshkumarkuwar6053 Жыл бұрын
Thanks Kimberly, for making such a detailed video on each plots. Loved the whole playlist :)
@kaduflutist
@kaduflutist Жыл бұрын
Thanks so much for the wonderful video tutorial. You have what it takes to teach and speak clearly whatever the subject is. Awesome!
@wluedi
@wluedi Жыл бұрын
On KZfaq, in a class that I am taking online, the written documentation, everything associated with these packages are a steaming pile of 💩. Your videos and your way of presenting this material is the best thing that I have seen anywhere. There really is no comparison. You have an amazing gift in teaching this material. If you did a subscription website about data science and all these packages, I would subscribe gladly. I think a lot of people would. Excellent work. Some of the best datasci or even comsci teaching videos that I have ever seen.
@amanpatyal2187
@amanpatyal2187 3 жыл бұрын
playing with keywords is always a great deal, beautiful explanation of all useful keywords.....
@KimberlyFessel
@KimberlyFessel 3 жыл бұрын
Glad you enjoyed it!
@olakwiecinska6471
@olakwiecinska6471 3 жыл бұрын
Thank you so much for your hard work put into this video! It helped me a lot :)
@KimberlyFessel
@KimberlyFessel 3 жыл бұрын
Oh wonderful! Very glad to hear my video was helpful! 😄
@gnaneshgn8341
@gnaneshgn8341 2 жыл бұрын
So cool and easy to learn...Nice Explanation ..please do more .Thank you..!!
@digigoliath
@digigoliath 3 жыл бұрын
Quick & to the point! Sweet!! TQVM.
@KimberlyFessel
@KimberlyFessel 3 жыл бұрын
Thanks! Glad you enjoyed this video! 😄
@AlfredoBevacqua
@AlfredoBevacqua 3 жыл бұрын
Thank you very much Kimberly :)
@KimberlyFessel
@KimberlyFessel 3 жыл бұрын
You're very welcome! 😄
@HR97BH
@HR97BH 3 жыл бұрын
Ur lectures are awesome....😍 Keep going🔥
@KimberlyFessel
@KimberlyFessel 3 жыл бұрын
Thank you! And will do 🔥😎
@anshu2614
@anshu2614 3 жыл бұрын
You kept it so simple . Nice Explanation :):)
@KimberlyFessel
@KimberlyFessel 3 жыл бұрын
Thank you - I do my best to break it down and keep it simple! 😄
@enriquealvaro4991
@enriquealvaro4991 2 жыл бұрын
your videos are amazing!!! thank you
@KimberlyFessel
@KimberlyFessel 2 жыл бұрын
So glad you like them - cheers!
@emanabdelhaleem7561
@emanabdelhaleem7561 5 ай бұрын
Thank 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
@KimberlyFessel
@KimberlyFessel 5 ай бұрын
Thanks for watching and thanks for the tip! I've definitely considered doing more videos about selecting an appropriate visualization technique. 👍
@yousofahmad6790
@yousofahmad6790 Жыл бұрын
thanks a lot
@jawuku3885
@jawuku3885 2 жыл бұрын
Thank 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?
@_guzheng7585
@_guzheng7585 3 жыл бұрын
Thanks for this video. You're amazing. It helps a lot.
@KimberlyFessel
@KimberlyFessel 3 жыл бұрын
So glad you enjoyed the video and that it helped!
@KazimierzBecek
@KazimierzBecek Жыл бұрын
Great!
@GregThatcher
@GregThatcher 2 ай бұрын
Thanks!
@KimberlyFessel
@KimberlyFessel 2 ай бұрын
You’re very welcome! Thanks for the support - cheers! 😀
@vinitasharma5025
@vinitasharma5025 Жыл бұрын
very useful video
@Xzizia92
@Xzizia92 2 жыл бұрын
Thank 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
@randagha3283
@randagha3283 3 жыл бұрын
Thank you for the amazing explanation, I have a qs: what plot should i use to view distribution? Only histogram?
@KimberlyFessel
@KimberlyFessel 3 жыл бұрын
You're welcome! The histogram is probably the most well known distribution plot, but there are a few others. The KDE plot is a way to see a smoothed-out, continuous approximation of your data's distribution function. (You can check out my KDE plot video if you want to learn more: kzfaq.info/get/bejne/eqmXg7WSrqq9iHU.html) Seaborn also has a rug plot, which is basically a histogram with a zero-width bar, and an ecdf plot that looks more at the cumulative distribution. I'm planning to also make a video about the Seaborn displot which combines all of these!
@LuisLopez-ns6yg
@LuisLopez-ns6yg 3 жыл бұрын
Thank you :D
@KimberlyFessel
@KimberlyFessel 3 жыл бұрын
Most welcome! 😄
@muhammadzohaibkhan2707
@muhammadzohaibkhan2707 3 жыл бұрын
Thanks alot mam
@KimberlyFessel
@KimberlyFessel 3 жыл бұрын
You're very welcome!
@johanestebangaleanocarvaja8941
@johanestebangaleanocarvaja8941 2 жыл бұрын
hey! 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!
@KimberlyFessel
@KimberlyFessel 2 жыл бұрын
Hi there - the seaborn histplot has an argument called "stat" that may be helpful. The default is stat='count', which just counts up the number of observations in each bin. But you also have the options of 'frequency', 'percent', 'probability', and 'density'. See the seaborn docs (seaborn.pydata.org/generated/seaborn.histplot.html) for more information. 😄
@sobersabin
@sobersabin 3 жыл бұрын
hello madam, i have version 10, how can upgrade to 11.can you please tell me.
@KimberlyFessel
@KimberlyFessel 3 жыл бұрын
Hi -- do you use pip? If so you can run "pip install seaborn -U" to upgrade to the latest version in your Terminal or Shell. Or you can run "!pip install seaborn -U" from within a Jupyter Notebook.
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