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A user noted that it should say "row names" instead of "column names"

Below is a list of most common code submissions that generated repeat messages. The most common seems to be people not realizing that they need 1 entry per analyst.

                # Create speed_vector\nspeed_vector <- c("slow", "fast", "insane") 
                                                                               253 
 # Create speed_vector\nspeed_vector <- ("fast", "slow", "slow", "fast", "insane") 
                                                                               147 
                                            # Create speed_vector\nspeed_vector <- 
                                                                               140 
          # Create speed_vector\nspeed_vector <- c(fast, slow, slow, fast, insane) 
                                                                               103 
                  # Create speed_vector\nspeed_vector <- c("slow","fast","insane") 
                                                                                80 
     # Create speed_vector\nspeed_vector <- ("fast","slow","slow","fast","insane") 
                                                                                55 

In Selection of data frame elements (2), there's a typo in the first snippet: the type column is actually the second column, not the first.

Suggestions

Change planets_df[1:3,1] to planets_df[1:3,2].

Screenshot

Cf [email protected], #88907
Cc @bakera81

Issue: Chapter 1 is now showing in the Turkish language.
Link: https://campus.datacamp.com/courses/free-introduction-to-r/chapter-1-ra-ilk-adim?ex=1

For Support Team:
Zendesk ticket: https://datacamp.zendesk.com/agent/tickets/121202

cc @Robert-cabral @MelRemy @kasthynguyen

This exercise has duplicated text in the exercise.

cc @yashasroy

Hello I am completely the intro to R course which I am finding very valuable. I think it is a really well thought-at training program and I am enjoying it a lot. However, I just got to the module on factors and was really disappointed that DataCamp is using gender as the example of a categorical variable. There are so many options to pick from here and DataCamp has chosen one which is a sensitive issue for many people and I am sure many of DataCamp's users. Is it possible for this to be changed? It seems like such a silly thing to have in an otherwise awesome training program. Kind regards Emma

Cf [email protected], #51193

Summary

Regarding exercise: https://campus.datacamp.com/courses/free-introduction-to-r/chapter-4-factors-4?ex=4:

Repetition of the word "order".

https://twitter.com/i/web/status/834629125767847937

In this exercise and several that follow, 'Sex' is incorrectly referred to as 'Gender'.

@ludov04 note4d a student providing such feedback (I have encountered the same in other courses):

According to wikipedia (many other references but this was easiest) ,

The World Health Organization (WHO) similarly states that "'sex' refers to the biological and physiological characteristics that define men and women" and that "'male' and 'female' are sex categories".

This is both a socially and politically charged issue. I would have edited the exercise noted and issued a PR but as it seems to propagate throughout the course I am raising this issue. Happy to discuss further!

See "that has to do be done."

@klmedeiros

I download the zip of this project and open the chapter1.Rmd on Rstudio then knit to html and it had the error like this

what should I do for run it?

Hi,

I've been using DataCamp recently to get familiar with R. For "Create a vector (1)", my input is

Vegas = "Here we go!"

However, the output after clicking 'Submit Answer' is:

> Vegas = "Herewego!"
Make sure that you assign the correct value to 'Vegas'. Don't forget that R is case sensitive.

If it helps, I am using Google Chrome.

https://campus.datacamp.com/courses/free-introduction-to-r/chapter-4-factors-4?ex=6

We assign "Female" first when setting the levels:
levels(factor_survey_vector) <- c("Female", "Male")
but "male" is the first factor:
male <- factor_survey_vector[1]

This is because the first element of survey_vector is "M" Could this behavior be made clearer somehow?

Hi Team,

This is not exactly an issue, but I figured this is probably the best way to get in touch with the team.

My team at Skooldio, a technology academy in Thailand, has just finished translating DataCamp's free intro to R course into Thai. Given that it's DataCamp's original content, I'd like ask what would the best way to publish it. I noticed that some were officially announced in DataCamp's blog (e.g. https://www.datacamp.com/community/blog/new-italian-and-german-translations-of-introduction-to-r#gs.Gga6lus), while others were officially hosted on DataCamp's github account (e.g. https://github.com/datacamp/courses-intro-to-r-french).

Here are the links to our translated course and our github repository:
https://www.datacamp.com/courses/ภาษา-r-เบื้องต้น
https://github.com/tvirot/courses-intro-to-r-thai

Please let us know what you think and how we should proceed :)

Thanks!
Ta

In this exercise, the first bullet point should read

selects the value at the first row and second column in mydf

This is a container issue for the Content Quality team to track maintenance.