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Seaborn Python Tutorial - Part 1

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Seaborn Python Tutorial 2020. Learn how to use Seaborn to visualize and analyse your data in Python. Learn when to use which plot and why; depending what you are trying to achieve. Additionally, learn how to interpret the results you see in your plot.
Support the channel on Patreon:
/ data360yp
Data Analytics Course Link:
ipidata.teachab...
In the first video of the series, I cover extensively LinePlots, BarPlots and Histograms.
Part 1 Link: • Seaborn Python Tutoria...
Part 2 Link: TBC
Part 3 Link: TBC
Tutorial Overview:
• What is Seaborn and how/why it's used
• Trend Plots:
o Line Plots
• Summary Plots:
o Bar Plots
• Distribution of Data:
o Histogram
o Box Plots
• Relationship Plots:
o Scatter Plots
o lmplot (combo of regplot() and FacetGrid)
• Holistic views / Combo:
o Sub Plots
o Pair Plots
o Join Plots
• Correlation / Relationships:
o Heat Map
How to download and install Python through Anaconda:
• How to Download PYTHON...
Data Analytics Course Link: ipidata.teachab...
Download the raw data & the Python Notebook:
github.com/Pit...
Yiannis Pitsillides on Social Media:
/ pitsillides91
www.instagram....
www.pinterest....
/ 1500092413449073

Опубликовано:

14 авг 2024

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Комментарии : 93

@msctube45 4 года назад

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!

@Data360YP 4 года назад

Glad you liked it!

@dhruvrathore2022 4 года назад

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 !

@Data360YP 4 года назад

Glad you liked it!

@elbezz 3 года назад

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)

2 года назад

Yes, I had fun watching your presentation. Thanks.

@OmarJIBAR 4 года назад

wow, your tutorial is so clear that i just want to cry. THANKS A LOT FOR THE TUTORIAL

@Data360YP 4 года назад

You're welcome!

@murilokrebskyhobus7713 4 года назад

I usually don't comment that much on RU-vid videos but this here deserves all the credits ! Awesome video, thank you so much !

@Data360YP 4 года назад

Glad you liked it!

@nawilliam2754 3 года назад

Most beautiful and clear explanation. You deserve more views.

@Data360YP 3 года назад

Glad you think so!

@omkars764 3 года назад

Amazing tutorial, straight to the point. Thank you for the notebook

@harikrishna-harrypth 3 года назад

Thanks for your resourceful videos! Much appreciated! Please continue making these amazing videos!!

@Data360YP 3 года назад

Thanks, will do!

@Am-hsb 4 года назад

Thanks a lot mate! Really like your way of teaching attributes step by step. Keep going.

@Data360YP 4 года назад

Thanks, will do!

@julianriise5618 3 года назад

So basically I’m going to learn how to create them, different options and examples, got it! Great tutorial😁

@Data360YP 3 года назад

Perfect!

@CaribouDataScience Год назад

This is very helpful!

@attilajuhasz8 4 года назад

thank you for this very thorough video, clarified a lot of things for me!!!

@Data360YP 4 года назад

Glad it was helpful!

@jamalanifowoshe1125 4 года назад

Amazing series, so many good examples!

@Data360YP 4 года назад

Glad you like them!

@andreasp.189 4 года назад

Very informative tutorial Yiannis!

@rishabhsharma2077 4 года назад

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

@ilianleandrolopezsepulveda1829 2 года назад

thanks for the tutorial, is very usefull to start it would be great if zoom in the jupiter to fit the screen

@kendallgibson8370 4 года назад

Helpful tutorial, thank you! tip for viewers: if you increase the quality of the video, you may be able to read the screen better.

@Praj13515 4 года назад

Thanks a lot for this video. It was excellent and I enjoyed while doing on my system. Thanks again!

@Data360YP 4 года назад

Glad you liked it!!

@Leticia12570 4 года назад

So good! Thanks to share your knowledge with us!

@miguelangeldiazoviedo9523 2 года назад

Very good. Just what I was looking for

@salbayrak 3 года назад

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!

@Data360YP 3 года назад

hahah thanks!! Glad you liked it!

@AnatolVZ Год назад

Excelent video!!!

@codecreator6179 2 года назад

this is pretty nice. thank you so much

@karakol86 3 года назад

To change the figure size you can also have the Code plt.figure(figsize=(10, 8))

@Shonashoni1 3 года назад

wonderful explanation...

@jerrymarq3897 Год назад

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

@andrelovo7333 3 года назад

Very good video! Tks!

@Data360YP 3 года назад

Glad you liked it!

@CaribouDataScience Год назад

How do I create the "distplot" using "displot" or "hisplot"? Dispolot or hisplot don't have the fitted curve line?

@Naveen_Anan 3 года назад

Superb Sir, Very great presentation!

@Papiii_benz 3 года назад

Great explanations!

@Data360YP 3 года назад

Glad it was helpful!

@twtw785 2 года назад

Very good job - can you do some videos on stock market data analysis or cryptos analysis, especially on some 3D advanced seaborn charts ? thanks

@allieubisse470 4 года назад

You have a killer content and well explained...

@bsharmomani3871 3 года назад

FINALL, smth from the ground ! thanks

@tongakuot Год назад

Great tutorials! Thank you for sharing.

@konstantinosmaravegias4198 3 года назад

Ωραιος. Να εισαι καλα.

@Data360YP 3 года назад

Thanks man! esi nase kala!

@crisbuker 3 года назад

Muy bueno tu video !!

@diegososa5280 3 года назад

Thank you so much for this. Liked and subscribed.

@Data360YP 3 года назад

Awesome, thank you!

@pasangpasang7803 2 года назад

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?

@folasadeomonira1092 3 года назад

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?

@hellofrombd1960 2 года назад

How can we save full dashboard in one Picture. Please help.

@meylanwongkar4632 4 года назад

Such a wonderfull tutorial, good explanation^^

@Data360YP 4 года назад

Glad you liked it!!

@gormiksoc 3 года назад

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.

@sandyputrautama9279 3 года назад

Thanks for this tutorial, very helpful 👍

@yogeshdhawan3488 2 года назад

Thank you good video.

@hezronkiprop2391 4 года назад

THANKS ALOT.day by day you helping me

@Data360YP 4 года назад

Always welcome

@jongcheulkim7284 3 года назад

Thank you so much. This is very helpful^^

@arjungoud3450 3 года назад

Thank a lot.

@ireneshiang978 3 года назад

Nice tutorial! Thank you!

@nachoh6726 Год назад

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?

@amrseleem 3 года назад

Great video man!!! keep going

@Data360YP 3 года назад

Appreciate it!

@eanamhossain-lifecycleofda3580 4 года назад

I learn so much thing in your tutorial

@Data360YP 4 года назад

Glad you found this useful!

@happyfa 3 года назад

What is difference between matplotlib and seaborn?

@hasantarek6521 Год назад

good one

@abdurrezzakefe5308 4 года назад

Amazing tutorial, thanks!

@Data360YP 4 года назад

Glad it was helpful!

@ketanchikhalkar9326 3 года назад

Very nice bro Can you help me to solve my problem of data analysis

@tasc4404 3 года назад

course is good, but it is hard to see codes bcs of notebooks apperance.

@Shreya-hz4pe 4 года назад

Thanks. It was helpful. Any way I can contact you if I have doubts(only if you don't mind)?

@Data360YP 4 года назад

hey, you can asks questions here in the comments and I will try to answer as many as I can!

@vlogsdeqayam612 4 года назад

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

@Data360YP 4 года назад

hey! what is the error you get?

@manu93ize 4 года назад

great tutorial man ! 20:04 some people use log() when data is skewed . do you know why? thanks

@Data360YP 4 года назад

Glad you liked it! We use log when we have large values and we want to reduced their skewness

@BngPhysics 4 года назад

thanks, and keep it up

@Data360YP 4 года назад

Thanks, will do!

@vijayotnm 4 года назад

Thank you

@GM-rs2fv 4 года назад

You should zoom in on the jupyter notebook a bit it's hard to read on a laptop screen

@Data360YP 4 года назад

thanks, will keep this in mind when I do the next!

@leecreighton 4 года назад

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.

@Data360YP 4 года назад

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 :)

@rusticagenerica 4 года назад

You pushed the video saturation far too high ! Your face is as red as a ripe tomato covered with Tabasco !

@Data360YP 4 года назад

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 :)