Get my FREE cheat sheets for R programming and statistics (including transcripts of these lessons) here: www.learnmore365.com/courses/rprogramming-resource-library

Just started learning R, I love how you simplify things to make them make sense. Thank you

Just started Learning R Programming and your videos are some of the best and easiest to follow. Keep up the great work!

Thank you for these tutorials! So far, your channel is the best one I've found to start learning R. Keep up the good work! We appreciate it!

Honestly, I've never done anything in R before, just started randomly watching this video. I understood EVERYTHING! Just amazing, definitely subscribed.

Please, please keep making these videos. It is crucial for us data analyst who are just getting started and would like to continue expanding our knowledge. I would even donate if you had a patreon

Great content, Greg. Thanks much for taking the time to put it all together.

Great work! It re-ignited my passion for R. Thanks a lot!

Thank you for making these videos, it must take a lot of your time in preparation and editing. Cheers from Scotland.

Thank YOU so much! I've learned a lot about R functions. I will be watching the rest of your video tutorial. Thank YOU, Professor!

Great tutorials and huge thank you for your content! I always use a split screen with my data set on the left and your videos on the right. Please keep providing! Greetings from Berlin

I did not know learning R could be so much fun! Thank you for this great video

Well done for the fantastic lectures that make life with R easier

Great to see the level of detail to learn R here. You are so right about cut and paste 🙂

Your videos are amazing and so helpful for half beginner to look like a pro!

I love these videos. They are so incredibly helpful. Thanks a million!

Thank you for these kind of content, someone who is learning via internet… I salute you 😊

Thank you, Greg. You are the best!

Your videos are simply great! I feel I've become a bit more proficient with R also thanks to you. I recently started to do some PCA on my datasets and I'm wondering if you could give an introduction to multivariate analysis with R in your next videos. Keep up the good work 👍

Wow thank you so much for this! You have taken away my fear of using this program, with this video I broke through a WALL that was in between me and my data analysis. Very clear way of explaining things as compared to other videos.

Learned different methods of performing same tasks. Great work ser!

Thank you, Dr Greg. Very useful content and very nicely explained. I had almost given up on R, but your videos reignited the passion for learning it.

This is so helpful, thank you so much! I am on the capstone project for Coursera analytics 8 part course and I am SO LOST lol. I know exactly what I want to see, but throughout the course there was only 1 module on "R" and many bookmarks were noted. But the commands are not organized so it takes hours to see what code is necessary to clean something or narrow the data that you are looking for. I think that I chose a project that has an overwhelming amount of data... and it has my Kaggle freaking out lol... I WAS going to use RStudio but I was having trouble importing the datasets that I needed so I figured that if I could just code in Kaggle; and that was the platform that I was going to showcase the project on (AND that is where I found the datasets that I am using) I might as well just run the code there.. but it is taking months lol.

Good work right here. Consider doing another on data imputation especially using MICE, I know it'll be🔥🔥. Waiting, thanks in advance

the way of your teaching is "THE BEST " Thanks for giving the best information

Best R teacher, thanks a lot, it was a great video!

Wow, but also feel bad that why I didn't discover your videos earlier. Great experience!

Your videos are simply great!

Thank you! I needed to catch up to all things tidyverse and your videos have been an absolute life saver. It's like you know exactly how my brain works. Are you going to get to spatial data and the 'sf' package at some point?

I am a beginner in R and I found your videos are the best. Very helpful, thank you so much.

Thank you for the great videos, so well explained, it's like you knew what I needed!

Omg love your videos just finished a r training and feel i have learnt so much from jus 3 or ur videos.. 💛💛💛💛💛

Glad that u are back! Thank you

really very cool videos i hope you explain more about survival analysis and regression

Great video for someone about to move into a position scoping data visualization using the R Suite of applications.

this was sooo helpful! thank you

This is nice, can you do CCA ANALYSIS

Thank you for this great tutorial!

Brilliant job... Thanks a lot

Thank you sir, you explain it well ..appreaciate

Simply the Best -> I love it

It was a great start.

Excellente~! Thanks -

Thank you this was so helpful

So incredibly helpful! THANK YOU

Hello, I have been using R for 10 years and the Tidyverse for about a year or two. This channel is fantastic. What software do you use to do the coloured, highlighting, annotations ? Thanks

Thank you for this great lesson!

Masterful instruction.

This is so useful!

Fantastic teaching!

Thanks for great videos, they are very helpful! Im just wondering, the sort command only shows the first 1000 rows.. is it possible to show/sort all of the rows? I have a daraser with 47k observation and 6k variables. Thanks!

Super helpful video, thanks!

Thanks very much for the great teaching way you do. I would highly appreciate if you can do a video about cluster using R.

Thank you very much. Very helpful

Greg you are an amazing teacher! can you make videos on PCA and ANOVA using R. Thanks!

Oh wow! Nice😊

Hi, just a quick question when I use this line of codes sort(table(starwars$hair_color)) it is now showing the NA values , is it because of R does not know what the NA values are and can not sort it ? Do I think right ?

vary Tx sir,

Great video!

Hi, I cannot find any library tidyverse on R studio these days ??

thank you for making it so understandable....

Great Tutor.

many thanks!

You make R interesting.

Thank you!

Thanks a lot.

Amazing :)

Thanks!!

Please HELP! Why are the functions "arrange" and "filter" not working on my data even after I have made sure and confirmed that the columns are numeric types of data?

I've checked but can't find it. Where is the playlist for explore-clean-manipulate you mention in these videos? There are four playlists but none on that cycle exactly :)

Very helpful for teaching students

thanks to you!

this is so helpful

Thanks

Where can I find the code?

It would be amazing if you do a full on tutorial on the R package called caret and machine learning. :)

I humbly request you to do a video on Bayesian mixing models using R statistics software.

Did anybody by any chance in the very beginning instead of having as the format 87 rows and 13 variables they have A tibble with 87 rows and 14 variables?? If so how could I change the variable count to match his? Any help is appreciated thank you!

How to solve Partial Differential Equations in R?

where have you been?? keep it up!!

lifeline!

Tidyverse

Why can't I install tidyverse?

> select(hair_color) Error in UseMethod("select") : no applicable method for 'select' applied to an object of class "character" This is the error system is throwing.

Gender and sex is now updated in the dataset. (gender in this video was what sex is now; female/male)

Excuse me, Sir, why not You make it/them more simplified? For example, gender, height and weight or fresh and dry weight (plant) to draw histogramme

savage vdo. thankssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss!

I think the recent update has changed this dataset starwars

my version of the starwars data renames gender as sex, and gender becomes "masculine",and "feminine"

i wish you could explore my data with me

Can you do a difference in differences analysis in R. Thanks

The StarWars dataset is no more available.

daughterset

Starwars

Amazing! Thx a lot, it really helped me to get my first steps in this new language, if you dont mind, I typed all the codes you showed and put some explanations on portuguese for those who might find it useful... ```{r} # Explorar # Limpar # Manipular # Descrever # Visualizar # Analisar install.packages("tidyverse") library(tidyverse) # Para ver quais sao as bases de dados que estao dentro do tidyverse data() # Qunado colocamos uma interrogacao antes da base de dados, o sistema retorna algumas informacoes sobre importantes sobre a base ?starwars # O comando abaixo retorna o tamanho da base de dados, ou seja, quantas observacoes e quantas variaveis. Esta e a dimensao da base de dados, linhas e colunas respectivamente. dim(starwars) # A funcao abaixo mostra a estrutura dos dados. Nela nos vemos o nome das variaveis, o tipo dos dados e o valor de algumas primeiras observacoes no formato de lista, pode ficar um pouco confuso... str(starwars) # O comando abaixo, glimpse, faz a mesma coisa, no entanto e um comando especifico do tidyverse. Ele e menos poluido visualmente glimpse(starwars) # O comando View, com V maiusculo, abaixo os traz um visao muito mais moderna da base de dados, como se tivessemos vendo no excel mesmo. No entanto esta visualizacao e feita em uma nova aba. View(starwars) # Usado para visualizar as primeiras observacoes da base, como padrao 6. head(starwars) # Mesma coisa do comando head, so que para as ultimas observacoes tail(starwars) # Se voce quiser ver especificamente uma unica variavel starwars$name # O comando attach faz com que o R entenda que estamos trabalhando somente com essa base, e, entao nao precisamos mais indicar que se trata da base de dados starwars por exemplo attach(starwars) detach(starwars) # O comando names mostra os nomes das variaveis names(starwars) # O comando length traz pra gente o numero de colunas dessa base length(starwars) # O comando class retorna o tipo de dados de que se trata a variavel em questao class(hair_color) # Quando colocamos length no nome de uma variavel o que obtemos e o numero de observacoes dessa variavel length(hair_color) # O comando unique nos traz os valores unicos presentes nessa variavel unique(hair_color) # Traz a frequencia com que a variavel assumiu determinado valor table(hair_color) # Sort ira sortir os valores abaixo do comando table do menor para o maior sort(table(hair_color)) sort(table(hair_color), decreasing = TRUE) # Do maior para o menor # Abre uma nova aba onde podemos ver o resultado do comando sort dentro do layout do View View(sort(table(hair_color), decreasing = TRUE)) # O comando abaixo apresenta um grafico de barras sobre as observacoes sortidas em ordem decrescente barplot(sort(table(hair_color), decreasing = TRUE)) # O comando %>% significa para o R executar a partir de %>% ate antes do proximo %>% starwars %>% select(hair_color) %>% # Apresenta a variavel com o valor de suas observacoes count(hair_color) %>% # Conta quantas vezes a variavel assumiu determinado valor arrange(desc(n)) %>% # Mostra os primeiros valores num layout tipo excel # Vamos agora ver como isolar os valores NA, aqueles que nao foram coletados, para olhar mais de perto # Seleciona todas as linhas e colunas da base starwars[ , ] # Responde se cada observacao e ou nao e um NA is.na(hair_color) # Seleciona somenta as que estao com NA com todas colunas View(starwars[is.na(hair_color) , ]) # O comando abaixo serve para vermos o tipo da variavel height, lembre-se tem que ter rodado o comando attach antes para funcionar class(height) length(height) # numero de observacoes para cada varaivel summary(height) # resumo estatistico boxplot(height) # diagrama de caixa hist(height) # histograma ```

Thank you!