R demo | Deep Exploratory Data Analysis (EDA) | explore your data and start to test hypotheses

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In this video, I'll provide the simplest and the most effective ways to explore data in R, which will significantly speed up your work. Moreover, we'll go one step beyond EDA by starting to test our hypotheses with simple statistical tests... that's what I call "deep" here.

If you only want the code (or want to support me), consider join the channel (join button below any of the videos), because I provide the code upon members requests.

You of coarse don't need to see the whole thing:

Timetable:

02:44 - exploring categorical variables
05:00 - descriptive statistics with some basic tests, like Fishers and Chi-Square, Mann-Whitney and Kruskal-Wallis tests
09:15 - explore distribution with skewness and kurtosis tests
13:03 - explore normality with Quantile-Quantile plots and Shapiro-Wilk normality test
17:20 - compare groups with box-plots and non-parametric tests, like Mann-Whitney and Kruskal-Wallis
19:12 - explore and visualize correlations and get correlation coefficients, confidence intervals and p-values
24:03 - explore linearity of data with non-linear models and ggplot2 package

By the way, one of the songs playing in the background is called ”Hypothesis” by the artist Vincent Rubinetti 😉

Music by Vincent Rubinetti
Download the music on Bandcamp:
Stream the music on Spotify:

Enjoy! 🥳
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why you don't have millions of subs is beyond me. this and your other videos are exceptional. i've used R for several years and not been exposed to some of these packages. your style is clear and concise. thank you for quality content.

jeromebradenbaugh
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What an amazing tutorial. Your YouTube channel deserves to have millions of subscribers. The way you present the topic is simple and focused. No much talking and directed to the point. I really love the way you explain your tutorials.
I wish you all the best in your life, my dear professor.

muhammedhadedy
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i hope the creator of this videos reads this because i THANK YOU SO SO MUCH!!!

You did more than a spectacular job describing everything in just 28 minutes! you've earned my sub just from the introduction.

yeah_reee
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Nice and fantastic; Exceptional! Clear and easy and funny way to explain thinks. I found this tutorial like a gold! Waou

famahsnazer
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You are gifted and very good tutor, I really enjoyed watching this video, your way to present the information is clear, short and hit the point, besides, you provide some useful links to further info about any topics that needs more time to be explained.
Thank you

sn
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Great job. From one professor to another.

oluremiabayomi
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This is gold, great job! It will help me make beautiful graphs as I study the correlation between anti-oxidants levels of plants in response to abiotic stress. Thank you Mr. Zablotski.

t.n.strijker
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Wow, so many valuable information that I keep on pausing the video every two minutes to jot stuff down. Thank you for this great piece of instruction, and thank you for your other great videos, too! It really is well appreciated!

juanfederos
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This is an amazing EDA video I have ever watched!

harryporterdigitalservices-rm
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Great tutorial! Thanks indeed, Dr. Yury.

angezoclanclounon
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Thank you. Perfect video. Great explanation.

saygindiler
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So helpful. great video. Many thanks !!

eyadha
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brilliant stuff. Very easy to follow. Can you create a dedicated playlist regarding machine learning models ?

dinohadjiyannis
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Thank you for this great video! You have a new subscriber!

rashawnhoward
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8:11 Those plots much better with 'browser', 'viewer' or 'render' option.

chacmool
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Great video as always.

I have a question. How do you visualize several graphs in the code editor? Wich addin or package do you use??

Thanks in advance

bjrh
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Юрий, спасибо большое за такой контент! Приходится конспектировать )) Я понимаю, что вы организовали видео по логике анализа, но все-таки хотелось бы как-то организовать часть про пакеты тоже. Их много, они полезные, но как-то путаются с функциями по ходу повествования. Прошу прощения за критику, но только потому что очень интересно )

dmitry
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The code link in the description does not seem to be working anymore, do you have an updated one by any chance?

Dominus_Ryder
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Hello, do you still have your website?

TheBaudoing
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try view(dfSummary(data)) to get an html version of the table; its graphs are much prettier. Documentation provides instruction on how to integrate this in Rmd documents, too.

dominiccomtois