Thanks a lot for this Kimberley. I am new to data science and your videos are helping me understand creating graphs and plots on a whole other level. I have a question. Is there a way to include the value for the correlation coefficient in the plot?
Right? Honestly, I was in the same boat. Didn't really use it much. But there are so many options! Have really be loving demoing the FacetGrid-based plots lately. Good stuff!
Hi Kimberly, fantastic. Quick question on the idea of splitting the plot into multiple plots, one per category. Your example had just 3 categories. I was usung a category variable from my dataset that had 6 (still not massive, right?), however these 6 small plots really were too tiny. Is there a simple way to max the output to two or three lmplots per line? Subplots?
ok i think i may have found it with a bit of help from OpenAI grid = sns.FacetGrid(housing_df, col='SaleCondition', hue='SaleCondition', col_wrap=3) grid.map(sns.regplot, 'GrLivArea', 'SalePrice') What do you think?
thank you for your good video!. I have one question, do you know it is possible to change hue color and order ? I mean that the default would be alphabetical, but can it be changed to any order?
Mam thank you so much for the video. I had a query of my own which I would like to ask you, when utilizing Gaussian Process Regression, I am obtaining the mean estimate along with their standard deviations from the posterior predictive distribution. How can I plot each mean(point) estimate along with their Confidence Interval (CI), can you kindly help?
Uhh I am a beginner ANd I have a question ..Are these Regression plotted Correctly ?? Means We do not have to create a seperate model for the Linear Regression
Awesome! Glad to hear that worked. What happens when you try to make two columns? Are you passing in a categorical column into the "col" argument, for example, a column that has two string categories like ["a", "b", "a", "a", "b", ...]?
was working on Seaborn,
watched couple of your videos and I find them the most logical and useful
So glad to hear that! Seaborn is great 😁
Amazing video!! You explained everything so clearly, thank you so much!
Most welcome! Glad to hear it helped! 😊
Thanks a lot for this Kimberley. I am new to data science and your videos are helping me understand creating graphs and plots on a whole other level. I have a question. Is there a way to include the value for the correlation coefficient in the plot?
Great video. I've always ignored lmplot. Now I see how useful it is. I'll start using it. Thanks.
Right? Honestly, I was in the same boat. Didn't really use it much. But there are so many options! Have really be loving demoing the FacetGrid-based plots lately. Good stuff!
Hi Kimberly, fantastic. Quick question on the idea of splitting the plot into multiple plots, one per category. Your example had just 3 categories. I was usung a category variable from my dataset that had 6 (still not massive, right?), however these 6 small plots really were too tiny. Is there a simple way to max the output to two or three lmplots per line? Subplots?
ok i think i may have found it with a bit of help from OpenAI
grid = sns.FacetGrid(housing_df, col='SaleCondition', hue='SaleCondition', col_wrap=3)
grid.map(sns.regplot, 'GrLivArea', 'SalePrice')
What do you think?
@@johnbainbridge1931 Yes, that's right - use "col_wrap" to wrap your columns around to the next line :)
thank you for your good video!. I have one question, do you know it is possible to change hue color and order ? I mean that the default would be alphabetical, but can it be changed to any order?
Hi there - yes, you can update the palette option to change the colors and pass a list to hue_order to specify the order of your choice!
Amazing. Thanks for your video!!!
Mam thank you so much for the video. I had a query of my own which I would like to ask you, when utilizing Gaussian Process Regression, I am obtaining the mean estimate along with their standard deviations from the posterior predictive distribution. How can I plot each mean(point) estimate along with their Confidence Interval (CI), can you kindly help?
Amazing. Thank you, Kim.
👋 😄 -- Most welcome!
Uhh I am a beginner ANd I have a question ..Are these Regression plotted Correctly ?? Means We do not have to create a seperate model for the Linear Regression
Thanks, Coach!
Go, Team! 😄🎉
You rock!
Hey -- thanks so much! 👍
Thank you
Most welcome!
I did it! I plotted a logistic regression. But I got some trouble when I tried to make it two columns. Can you help me ma'am what should I do?
Awesome! Glad to hear that worked. What happens when you try to make two columns? Are you passing in a categorical column into the "col" argument, for example, a column that has two string categories like ["a", "b", "a", "a", "b", ...]?
@@KimberlyFessel
sns.lmplot(x=['Allowance','Grades'], y='Remarks', data=df, logistic=True, n_boot=100)
plt.show()
I can't plot two columns . Please ma'am help. Thank you so much!
What I did was , I have multiple x, I mean multiple columns for x
Great!
Thanks!
amazing mam...
So glad you enjoyed it! 😊
Thankyou Mam
Most welcome - cheers!
Thanks!!!!!
Most welcome!! 😄
Thank you