R demo | Automated Exploratory Data Analysis (EDA) Reports (with only 1 function for each report)

In this video, we'll:

learn how to conduct exploratory data analysis in a quickest and most effective way. We'll produce ready to use statistical reports, which will not only visualize a lot of data, but also calculate most of the basic statistics, we need anyway. Such reports can tell you the story of your data and what is wrong with it. For instance, it plots the distribution, the normality, imputes missing values and outliers in just a few seconds. The aim of such reports is to get to know your data as well as possible and to generate as many hypothesis as possible - in order to maximaze the creative output.

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

Enjoy! 🥳

[lindalangford]

Wonderful! Thanks for sharing such an insightful resources, Dr. Yury!

[eddieNyakan]

You amaze me each and every day, good stuff!

[jackx]

Excellent video. So clear and useful. I can’t wait to use these functions.

[milliontesfaye]

You are extremely amazing, thank you very much !!!
Excellent job, I can't wait to use these function☺️

[hemantjoshi]

Thank you Yuza ! Your tutorials are very helpful for people who are getting started with R to analyze data. Can you touch upon some key topics like Fama Macbeth regression in R. Again thank you !

[TheNozimjon]

Great video! p.s. Please check the pronounciation of the word "variable".

[mcatprepcharles]

Hi Yuza, I have been exploring your channel and it is very informative, thank you for these high quality videos! I have played around with the three functions and am wondering: are you familiar with an automated exploratory data analysis package that can account for complex survey design (strata/psu/weights/etc.)? Any and all guidance would be greatly appreciated!

[goodyonsen]

Hi Yuza, thank you very much for this awesomely informative video. I wouldn’t have had no idea if these very useful libraries even existed had you not made this video. Only one thing if you kindly clarify, at 03:16 you say the outlier column states the “number of outliers”, but does the diamonds dataset really have that much of outliers in the relevant columns? Could the outlier column be displaying "single values of outliers" in each data variable instead? Thanks for the video once again, you rock!

[ElGeneral]

I give you a surname from now: yuzaR_chatGPD... you are juste better than the best that ever existed. I would like you to be my teacher. What should I do?