You deserve a lot of credit for this video, one of the best Python tutorials I have seen in the internet. Lots of clarity and objectivity delivered with a practical and easy to follow didactic method. Thank you!
Thank you for your tutorial, great things..............Regarding the barplot: if we want to display the sum(), instead of mean(), we just add estimator=sum,,,, as follow ax =sns.barplot(x = 'Month_ID', y ='Revenue', data=raw_data, estimator=sum)
This is amazing man, everything is explained crystal clear. I wonder my college lecturers are even doing, damn fools. You explained much much better. Thanks a lot !
If you see an error such as "Cannot cast array dtype 'int64' to dtype 'int32', please refer this link github.com/mwaskom/seaborn/blob/master/seaborn/algorithms.py Copy the code from here and paste it into algorithms.py file in your local computer. P.S. Tutorial was brilliantly done
This is good. But an experienced data scientist knows that you want to set the index to date time, and this allows you to add month, quarter, year, and day. This additionally assist with machine learning etc… graphing doesn’t do much. We’re going to have a bunch of people that just know k ow how to plot and cannot think critically
Hello, This is such a wonderful tutorial. I have just completed the tutorial 1and would like to learn from rest of the tutorials. You have made the presentation in such a way that it is so easy to follow. Thank you so much for that. I cannot stop myself from subscribing to your channel and liking you video. I also have one suggestion and one question: Suggestion: It would be nice, if you can zoom in your presentation. I have to zoom in my browser to 200% and it is still not clear without bring my eyes close to my PC screen. Question: I could follow all your instructions and get all the codes correct but I could not get the bell shaped curve despite getting all the codes correct. Please can you let me know, why?
If i have 2 columns of data frame wage and value. No matter what i try i cannot create boxplots of those columns NEXT TO EACH OTHER. They're always one above the other.
hello, how're you doing?, first i give you the thank for your greats videos, but i have a problem: I made this with VS code and when i run de codes in the terminal this no made nothing. For example: ax = sns.lineplot(x = 'Date', y = 'Index Return', data = raw_data) - This code no made nothing. But, with this i don't have a problem. import os import numpy as np import pandas as pd from matplotlib import pyplot as plt import seaborn as sns raw_data = pd.read_excel('C:\\Users\\igper\\OneDrive\\Documentos\\Archivos_Python\ eturn_ipsa.xlsx') raw_data raw_data.head() Do you have any idea what might be causing the problem?
Remember-people are watching this on a lot of devices. I can’t read a thing you’re typing and you’re going so fast that I can’t figure it out for myself.
Hey Lee, thanks for the feedback. The idea is that this tutorial is very practical. So anyone who is not watching / doing this on the PC is not actually learning by just listening. We learn by doing / applying and as far as I know you can only code on a PC :)
hahah you would thing it's saturation but it's actually due to me sitting in the sun for hours. We do not get many sunny days in London and when we do, I'm always outside :)
You deserve a lot of credit for this video, one of the best Python tutorials I have seen in the internet. Lots of clarity and objectivity delivered with a practical and easy to follow didactic method. Thank you!
Glad you liked it!
Thank you for your tutorial, great things..............Regarding the barplot: if we want to display the sum(), instead of mean(), we just add estimator=sum,,,, as follow
ax =sns.barplot(x = 'Month_ID', y ='Revenue', data=raw_data, estimator=sum)
This is amazing man, everything is explained crystal clear. I wonder my college lecturers are even doing, damn fools. You explained much much better. Thanks a lot !
Glad you liked it!
wow, your tutorial is so clear that i just want to cry. THANKS A LOT FOR THE TUTORIAL
You're welcome!
I usually don't comment that much on RUclips videos but this here deserves all the credits !
Awesome video, thank you so much !
Glad you liked it!
Yes, I had fun watching your presentation. Thanks.
Most beautiful and clear explanation. You deserve more views.
Glad you think so!
Thanks for your resourceful videos! Much appreciated! Please continue making these amazing videos!!
Thanks, will do!
If you see an error such as "Cannot cast array dtype 'int64' to dtype 'int32', please refer this link github.com/mwaskom/seaborn/blob/master/seaborn/algorithms.py
Copy the code from here and paste it into algorithms.py file in your local computer.
P.S. Tutorial was brilliantly done
Amazing tutorial, straight to the point. Thank you for the notebook
So basically I’m going to learn how to create them, different options and examples, got it! Great tutorial😁
Perfect!
This is very helpful!
thanks for the tutorial, is very usefull to start
it would be great if zoom in the jupiter to fit the screen
Thanks a lot mate! Really like your way of teaching attributes step by step. Keep going.
Thanks, will do!
To change the figure size you can also have the
Code plt.figure(figsize=(10, 8))
Helpful tutorial, thank you!
tip for viewers: if you increase the quality of the video, you may be able to read the screen better.
Hey man, aside your awesome work I really loved your southern european accent which reminds me my best memories with the lads. Stay safe, cheers!
hahah thanks!! Glad you liked it!
Very good. Just what I was looking for
thank you for this very thorough video, clarified a lot of things for me!!!
Glad it was helpful!
Very informative tutorial Yiannis!
So good! Thanks to share your knowledge with us!
Amazing series, so many good examples!
Glad you like them!
This is good. But an experienced data scientist knows that you want to set the index to date time, and this allows you to add month, quarter, year, and day. This additionally assist with machine learning etc… graphing doesn’t do much. We’re going to have a bunch of people that just know k ow how to plot and cannot think critically
Thanks a lot for this video. It was excellent and I enjoyed while doing on my system. Thanks again!
Glad you liked it!!
How do I create the "distplot" using "displot" or "hisplot"? Dispolot or hisplot don't have the fitted curve line?
this is pretty nice. thank you so much
Very good video! Tks!
Glad you liked it!
wonderful explanation...
Very good job - can you do some videos on stock market data analysis or cryptos analysis, especially on some 3D advanced seaborn charts ? thanks
FINALL, smth from the ground ! thanks
Great tutorials! Thank you for sharing.
Great explanations!
Glad it was helpful!
Superb Sir, Very great presentation!
You have a killer content and well explained...
Thanks for this tutorial, very helpful 👍
Ωραιος. Να εισαι καλα.
Thanks man! esi nase kala!
Thank you so much for this. Liked and subscribed.
Awesome, thank you!
Such a wonderfull tutorial, good explanation^^
Glad you liked it!!
Thank you so much. This is very helpful^^
Nice tutorial! Thank you!
Thank a lot.
Thank you good video.
Hello, This is such a wonderful tutorial. I have just completed the tutorial 1and would like to learn from rest of the tutorials. You have made the presentation in such a way that it is so easy to follow. Thank you so much for that. I cannot stop myself from subscribing to your channel and liking you video.
I also have one suggestion and one question:
Suggestion: It would be nice, if you can zoom in your presentation. I have to zoom in my browser to 200% and it is still not clear without bring my eyes close to my PC screen.
Question: I could follow all your instructions and get all the codes correct but I could not get the bell shaped curve despite getting all the codes correct. Please can you let me know, why?
THANKS ALOT.day by day you helping me
Always welcome
Great video man!!! keep going
Appreciate it!
How can we save full dashboard in one Picture. Please help.
Muy bueno tu video !!
in a situation where the date axis is not clear due to multiple values. how can u make it clear as opposed to swapping to week?
Excelent video!!!
good one
Amazing tutorial, thanks!
Glad it was helpful!
I learn so much thing in your tutorial
Glad you found this useful!
If i have 2 columns of data frame wage and value. No matter what i try i cannot create boxplots of those columns NEXT TO EACH OTHER. They're always one above the other.
Very nice bro
Can you help me to solve my problem of data analysis
What is difference between matplotlib and seaborn?
course is good, but it is hard to see codes bcs of notebooks apperance.
hello, how're you doing?, first i give you the thank for your greats videos, but i have a problem: I made this with VS code and when i run de codes in the terminal this no made nothing.
For example:
ax = sns.lineplot(x = 'Date', y = 'Index Return', data = raw_data) - This code no made nothing.
But, with this i don't have a problem.
import os
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
import seaborn as sns
raw_data = pd.read_excel('C:\\Users\\igper\\OneDrive\\Documentos\\Archivos_Python\
eturn_ipsa.xlsx')
raw_data
raw_data.head()
Do you have any idea what might be causing the problem?
Thank you
thanks, and keep it up
Thanks, will do!
great tutorial man !
20:04 some people use log() when data is skewed . do you know why?
thanks
Glad you liked it! We use log when we have large values and we want to reduced their skewness
You should zoom in on the jupyter notebook a bit it's hard to read on a laptop screen
thanks, will keep this in mind when I do the next!
Thanks. It was helpful. Any way I can contact you if I have doubts(only if you don't mind)?
hey, you can asks questions here in the comments and I will try to answer as many as I can!
Hi everyone. For some reason, I'm unable to download the data set used in this tutorial. can someone help me out? thanks in advance
hey! what is the error you get?
Remember-people are watching this on a lot of devices. I can’t read a thing you’re typing and you’re going so fast that I can’t figure it out for myself.
Hey Lee, thanks for the feedback. The idea is that this tutorial is very practical. So anyone who is not watching / doing this on the PC is not actually learning by just listening. We learn by doing / applying and as far as I know you can only code on a PC :)
You pushed the video saturation far too high ! Your face is as red as a ripe tomato covered with Tabasco !
hahah you would thing it's saturation but it's actually due to me sitting in the sun for hours. We do not get many sunny days in London and when we do, I'm always outside :)