Introduction to Seaborn | How seaborn Python works with matplotlib along with seaborn and pandas

This first video of my "Introduction to Seaborn" series covers the basics of seaborn, a Python library for data visualization. Here, I describe what seaborn is and discuss seaborn installation. I compare seaborn vs matplotlib and explain how seaborn updates matplotlib's rcParams. I also show you how you can use seaborn and pandas and conclude with a gallery of seaborn Python examples.

Each subsequent video in this series examines a specific seaborn plot type or aspect.

0:00 About this series
1:15 How to install and import seaborn
1:58 How seaborn updates matplotlib
4:48 How seaborn integrates with pandas
6:37 Gallery of examples

Github code:

#seaborn #dataviz

[raihanfirdaus]

This is what exactly I'm looking for, as a newbie data scientist I really enjoy these tutorials. Thank you Kimberly! :)

[davestaggers]

Thank you for developing the playlist introduced by this video. These were very informative, and I really appreciated how you start with the objective of each plot type before diving into syntax.

[TheChadtech]

Exactly what i was looking for. You are so underrated, you need more followers

[hamadjaved]

Kimberly, these are a wonderful set of videos. Thanks for creating

[aahmadameen]

your teaching method too friendly and easy to understand as a newbies...kimberly keep it up.
It was really very helpfull for me.

[stevenlavelle]

Great organization of topics, great presentation. Can't wait to watch more of your videos!

[emanabdelhaleem]

I've just started the video and I'm optimistic this will be a great series.

[jiwonpark]

Thank you, Kimberly, for your excellent videos. Your video is very educational and informative. Even slow person like me could easily follow your instructions, and I could construct density plots of the dataset that I had been playing with (10-yr wind obs in the Hunter Valley NSW) after simply watching your video. Many thanks :)

[abcabcfirebreath]

I thank you for generously sharing this video and github depository, it has been a massive help.

[nurwijayadi]

I really love this.
I use yt-dlp, and it doesn't sort well, unless sort by modified date. So I open the browser while learning.

Thank you so much. It is helpful.

[Daijyobanai]

Python folks really like their upbeat jaunty music! It's fascinating to me, coming from more general programming to this data-science world in which people are ... happy?

[uptonogood]

lowkey the most underrated channel i have come across

[MroiDev]

Thank you for the explanation. Good job, Kimberly!

[deldridg]

Thank you very much Kimberly. Very useful. I have had many years working around the globe in a consulting capacity and have recently been migrating a lot of my analytical work from Excel to Python - party for the challenge but also for the wonderful analytical tools on offer. My global consulting is irrelevant to the point but it's always fun to say... ;-)

Cheers and thank you from Sydney - David

[samruddhideshmukh]

Short and clear explanation and demonstration. Very helpful in understanding the uses of the various seaborn plots.

[andreazecchi]

The best, absolutely. Clear and so direct.

[dperezc]

This series is amazing. I have a question, What command do you use (min 3:03) to see the function parameters, I tried with SHIFT+TAB but it doesn't show me all the signatures, just shows: Signature: sns.set(*args, **kwargs)

[troy_neilson]

Fantastic video. Looking forward to exploring the rest of the series!

[alainleclerc]

you are just amazing!! so well explained!! really thank you very much 😀🌺

[tapioms]

Simple, concise, and short. Good video!