00:00 Intro 00:28 Setup 02:17 Import Data & Datasets 04:22 Distribution Plot 06:53 Joint Plot 08:19 Hexagon Distribution 08:36 KDE Plot 09:06 Pair Plot 12:05 Rug Plot 13:05 Styling 17:42 Bar Plot 19:35 Count Plot 20:41 Box Plot 23:17 Violin Plot 24:42 Strip Plot 26:50 Swarm Plot 28:07 Palettes 32:18 Heatmaps 38:33 Cluster Map 42:11 Pair Grid 46:57 Facet Grid 54:47 Regression Plots

If you're looking at the comments to see if this is worth your time, I can assure you that it is. Loads of value obtained from this video! Great job.

10:22 the total bill was 16.99, so the extra cent makes it an even bill. loved the video, very useful

I just completed your MatplotLib tutorial. It was great. I created a complete file of all you demonstrated. This satisfied two objectives. (1) I learned by doing and (2) by adding comments to the code as I went it will be a reference on how to do things in the future. Excellent class - keep up the good work (I'm starting the Seaborn tutorial now.

Very well explained at a great pace. I gained a lot from this 1 hour tutorial. Thank you!

I've read the video's description. I've seen linear algebra and calculus too. You will be a life saver, Derek. Keep it up!

Thanks a LOT Derek! Have been waiting for this one! You are a LEGEND🙏

Wow ... Thank you so much again ... I was looking for both latest matplotlib and seaborn tutorial ... You did both !!!! What a coincidence !!!

This is probably the greatest tutorial I have watched. Great work, and thank you for putting the time into this!

Great tutorial, thanks. Pretty close to perfect balance between describing too much and not describing enough... didn't feel like any of my time waste wasted, nor was I left confused. Cheers.

This intro to Seaborn is amazing. Thank you so much for this!

Thank you so much for taking the time to make this video! Great introduction to data visualization, will be using my learnings for my M.S. thesis!

It couldn't have been better!!! You are a legend! Perfect pace, well at least for me

S tier tutorial, fast and to the point. Love your content Derek. Thank you!

Amazing tutorial. It helped me step up my exploratory data analisis, specially the pair+facet grid.

Just found out you had this selection of lectures on Python package functionalities and they rock big time! Thanks for the work you put into them and I look forward to other ones.

Excellent tutorials and to the points. Loving it the way you explain. Thank you, Derek.

Very well done tutorial! Thank you so much, you deserve a thumb up!

One of the best videos on seaborn

strange that the box plot category doesnt show a box plot. a box plot finds the median which is the central line in that box. then if you slice the data set there, and find the median between the minimum and the median, you get teh lower quartile. and the median from the median to the maximum for the higher quartile. the quartiles and the standard deviation shouldnt be the same thing. the standard deviation for a normal set should be + - 34% from the median. not sure if im wrong, if the program is wrong, or if you are wrong.

Thanks Derek. very helpful content especially the narration style is friendly and enhances the ability to absorb more information from what's being said!! Thanks a lot.

Thank you soo much, Thank you soo much, It help me a lott You are a Legend....

Thanku so much Derek for a wonderful seaborn tutorial. It was in-depth,interesting.🥰

A very detailed, organised and concise tutorial - Kudos.

Hi! How are you? I hope you are doing well. I can’t believe that I just found your channel today. Thank you very much for all your content.

Wow you’re a true legend. Keeping up the promise to teach the community is very hard, yet you always ensure to achieve it. Thanks a ton. I will checkout this video. Also I checked the description of this video and one of the next items mentioned therein was Scrapy, May I ask if you could start with base as BeautifulSoup and then build on scrapy? Because BeautifulSoup is simple yet powerful, it forces the programmer to do all the work with good understanding of web scraping. Also another request. Once you find time please check the possibilities of making tutorial on PyQtGraph. Thanks😇

Hi Derek nice explanatory video. I'm wondering if you can make a tutorial on scikit learn. It would be a big help. Since your explanations are well fitted in my head. lol

One of the best !!!! Really enjoyed watching this.

Amazing content, simple and straight to the point. Thank you!

how to show compact letter display (a, ab, b, bc)to show which one are significantly difference on x-axis when plotting in seaborn?

Awesome tutorial, thanks a million times!

10:22 "who tips 1 dollar and 1 cent?" rows 0 and 1 tipped to round the total_bill+tip to an even number AKA the best way to tip. In fact, 24.59% of the dataset tipped to an even number

I love the way you say data.

it was so perfect and useful good luck

this is an awesome tutorial on Seaborn! Thanks a lot

Excellent Presentation on Seaborn Sir 🙂 ,,.,.. I am your latest subscriber

Very nice crash course on seaborn, looking for more videos like this.

Great tutorial. would you please do another tutorial and teach multiple sub-plots using Matplotlib and Seaborn. (use for loop to plot )

Nice tutorial, seaborn is one of my favourite labrary

Great tutorial man! Helped me a lot!

Thank u...Its really awesome...

Thanks a LOT Derek SIR! You are a LEGEND🙏

Great video Derek!!

really desperately needed you to use that csv dataset!

Just what I wanted. Take lots of love, master. One more thing, which one would you prefer? Seaborn or matplotlib for basic visualization in data analysis.

Top class. From Australia with love. KUDOS

thank you so much for this course, dude!

This video was awesome! Thank you so much :)

Thanks, Derek. Very Cool!

Can you please show how to plot recision boundary with multiple features? Or how to plot linear regression with multiple features?

Very clear !!! Thank you so much.

Great lesson for all. Thanks a lot.

Amazing video !! Thanks for sharing your knowledge =)

Hey Derek! I just wanted to know how to show whiskers in boxplot as standard deviation and not as a percentile division?

Amazing teaching. Thank you!

Excellent video! Thank you very much

very big thank u sir ❤❤

Great tutorial, dude. Helped me a lot

Legit, awesome work.

Beautiful. pretending I understand what all the plots actually mean

Thanks Derek! Awesome video!

good explanation!

As usually, amazing thanks a lot :)

Thanks Eric.

Always the best, in the world! 💯💯💯💯

Very nice. Big up

Superb quality!

Waiting for tutorial to chickens.

Very useful. Amazing' thank you so much for this

great video

Really good tutorial!

Hello, I have a question for corr() when we were using it in Heatmaps @ 34:00 I received an error while using .corr() in the line > crash_mx = crash_df.corr() > crash_mx It was a ValueError stating the it could not convert string to float for the abbrev columns. > ValueError: could not convert string to float: 'AL' I was able to kinda solve this by telling it to only take in numeric datatypes using pandas > numeric_columns = crash_df.select_dtypes(include=['number']).columns > crash_mx = crash_df[numeric_columns].corr() but is there a better way of doing this? or did I make a dumb mistake- Thanks for creating this video!

This is amazing, thanks!

Awesome Derek ! Thanks

Thank you so much for the content I subscribed to. Is it possible to assign a palette to the Hexagon Distribution chart? I tried it like this: g = sns.jointplot( x = "Price" , y = "Rank" , data = df , kind = "hex", height=10, palette= "husl") -- but the palette didn't worked, colours did not changed. :)

You are amazing. Thank you!

I appreciate your video for us :) THank you :)

thanks mr. for this video

Does anyone know how you would label each data point so the dataframe values showed above each plot on the graphs?

Thanks man

Fantastic tutorial.

Awesome!!! TQVM!!

Hi, Derek. I want to thank you for your great work, it saved me a lot of time! But I also have a question - when I'm tryint to set a sns style, I'm getting an error: 'str' object is not callable. Do you have any idea, how to deal with it?

Brilliant explanation

how to use aggregate functions(count, sum ,min, max) while plotting in seaborn. for example I want to count some value in y axis again some value in x axis

Thanks, That is great

thank you!

Thanks!

Thank you so much

Hey anyone know how I can create 2 separate box plots next to each other rather than one above the other?

Hi Derek, Good Morning!!!! I'm not getting Legend on the graph / chart. pls let me know what setting / what inline command i need to use for getting legend on the plot.

Superbe ! 😊

Thank you for the video! Where can I find the jupyter notebook for this?

thanks ❤

It's great to see your tutorial on seaborn, thanks for making such a video anyone can understand easily. I wanted to follow same use cases what were explained in video, but unfortunately i couldn't find dat set. Could you please share dataset link? That would be great help. Thanks again for making such video.

Could you please help me? as I have explained below: Mine New Data Set. It doesn't work. import matplotlib.pyplot as plt import seaborn as sns sns.set_theme() flight = pd.read_csv(r'C:\Users\Lenovo\Downloads\d1\f1.csv') # Load the example flights dataset and convert to long-form flight_long = sns.load_dataset('flight') flight = flight_long.pivot("month", "year", "passengers") # Draw a heatmap with the numeric values in each cell f, ax = plt.subplots(figsize=(9, 6)) sns.heatmap(flight, annot=True, fmt="d", linewidths=.5, ax=ax) Original Data set (Works) Template ✔ import matplotlib.pyplot as plt import seaborn as sns sns.set_theme() # Load the example flights dataset and convert to long-form flights_long = sns.load_dataset("flights") flights = flights_long.pivot("month", "year", "passengers") # Draw a heatmap with the numeric values in each cell f, ax = plt.subplots(figsize=(9, 6)) sns.heatmap(flights, annot=True, fmt="d", linewidths=.5, ax=ax)

Isn't pyplot, also built on matplotlib, and also attempts to simplify it's use by including panda, etc? When would you use seaborn vs just matplotlib? BTW, seaborn/panda can be used offline, but if you use Jupyter, everything, including the data, must be connected to the internet?

I get error - ModuleNotFoundError: No module named 'matplotlib' - any ideas appreciated

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Hi Derek. Could you provide a link to the ComputerSales.csv file. It is difficult to learn Seaborn by replicating your teachings, if I dont have access to the CSV file.