Exploratory Data Analysis in R: Towards Data Understanding

In this video, I provide a quick overview on how you can gain data understanding by performing exploratory data analysis.

⭕ Timeline
0:19 Kicking off the first R Data Science Project "Exploratory Data Analysis"
0:52 Growing your Data science portfolio
2:32 Perform "Exploratory Data Analysis" in order to gain "Data Understanding"
2:57 Load the Iris dataset (Several ways shown)
3:37 Load Iris Method 2: Download using getURL()
6:33 Playing around with iris dataframe
7:52 Summary statistics
9:27 Look at summary statistics using summary()
10:29 Summation of missing data
11:52 skimr library provides a more in-depth summary statistics of dataset

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[DataProfessor]

QUESTION OF THE DAY: How do you use R to perform "Exploratory Data Analysis"? What R functions or packages?

[mack.cheerdesk]

ขอบคุณอาจารย์ที่ทำ content อย่างนี้ครับ your speciality in R with Bioinformatics is very helpful for my case as I am interning at Johns Hopkins University where they mainly use R programming. A lot of contents on youtube are in python and yours truly help as you have both. Greatly appreciated and thank you krup!

[josephjoestar]

What a legend man! Thank you for sharing your knowledge, going to follow this R project series - dropped a sub 😄

[MrKalin]

Thank you for the video! I found it very intresting, especially skimr package.

[FrankMLoSchiavo]

When I try Method 2 using get URL, I get the error below. Any suggestions? Thx.
Error in function (type, msg, asError = TRUE) :
SSL certificate problem: certificate has expired

[atiqahshafie]

Thank you, professor, it is really helped me with my project

[sp-francinagoh]

Thank you. Your explanation is very clear

[antonioverissimo]

Thank you. Can we use the R -version 4.0 for this tutturials??

[claudiocrespo]

Hi, I have problems with function skim(): Error in base::nchar(wide_chars$test, type = "width") :
lazy-load database is corrupt
In addition: Warning messages:
1: In base::nchar(wide_chars$test, type = "width") :
restarting interrupted promise evaluation
2: In base::nchar(wide_chars$test, type = "width") :
internal error -3 in R_decompress1.
¿Could you advice me, please?

[chiefmyroncappermoon]

Is the 101 video you're talking about supposed to be in the "R Data Science Project" library?

I don't see it :(

[leylamerlo]

Thank you! Your videos are super helpful :)

[abhipsatripathy]

Prof. my skim(iris ) is not working even if after installing the package of skimr. It shows skimr package successfully unpacked but when i run the command it says skim not found.

I run the code.

library(dplyr)
iris%>%
dplyr::group_by(species)%>%
skim()

but the output is...
iris%>%
+ dplyr::group_by(species)%>%
+ skim()
Error in get(nm, envir = fn, mode = "function") :
object 'skim' of mode 'function' was not found

[siamaksiamak]

Hi, thanks for video. you mentioned at the beginning of video about a link to 6 steps... where is the link?

[SneakerFreaker]

I get this error when executing the dplyr function: Error in UseMethod("group_by_") :
no applicable method for 'group_by_' applied to an object of class "factor"

[NewNew-ys]

How can I download the dataset you used ???

[mandarvaidya]

I am doing a masters degree in data science adn in my final year we have an elective of bioinformatics.Do I need to have an understanding of biology to study bioinformatics .I am from tech background and do not know much about biology except some high school knowledge

[jisaelza]

Hi, could you please share the link for the next video ? Thank you so much for this tutorial

[gohanlopez]

I am still struggling with my dataset, could we meet over zoom?

[gbubemierics]

Thank you data doctor for the detailed explanations. On my Rstudio i keep getting error messages when running this code
iris %%
dplyr::group_by(species) %%
skim() - (Error in UseMethod("group_by") :
no applicable method for 'group_by' applied to an object of class "factor")...please what am i doing wrong?

[shehabberam]

Hi professor thanks for this amazing content
Do you have any similar projects but using python ?