Where do I download the dataset, you are using?

Name of background music?

Always publishing top quality content! I love the summarized list and how to turn this into a gt_plt_dist. Thank you for sharing your knowledge in R.

Greetings mr Martin I 'm taking the liberty to ask something i've noticed. I recently update my packages and my tidyverse package has a problem. Whenever i try to run my code it says "could not find function %>%" even though this is the most important symbol of the tidyverse. Could you inform me about this ? Love your videos btw! Keep going!

I was just trying to explain you where 538 in your script comes from. It is a theme inspired by the website with the same name.

Can you put the link in description? For the website

Nice follow up to the previous lesson on gt()

Awesome

Very nice! The gapminder package is a great one but are there plans to update it to modern times? Country population such as Iceland´s have grown quite a bit. I guess the data is mostly from the World Bank.

Thanks for another splendid video. Try to Google 538 and Nate Silver. You will find the best website with polls from American politics. Best from Kenneth (from Denmark)

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.

Thanks. And everything is super duper easy. 😃

Fantastic. I'm curious then, if you like the table you've made, and want to use it in a paper or presentation, how do you export that? Is it simply copy and paste, or is there a command we can use to export the table?

can i mail you? i

Makes it all make sense. Slow and steady descriptions of each term make very easy to follow. And the simplification in the beginning was glorious

Hello Dr. Greg Martin when i execute that same code for the relationship between Ozone and wind my histogram never shows. I am getting this error "Error in `mutate()`: ℹ In argument: `... <- NULL`. Caused by error in `fortify()`: ! `data` must be a <data.frame>, or an object coercible by `fortify()`, or a valid <data.frame>-like object coercible by `as.data.frame()`, not a <uneval> object. ℹ Did you accidentally pass `aes()` to the `data` argument? Run `rlang::last_trace()` to see where the error occurred. " any help please

Your content submission is rocket!

Truly Great content!

In the case_when example, both FALSE actions (when the 2 conditions were not met) were the same (putting original hair colour) what if the FALSE action of the 2 conditions is different?

Fantastic video as always. However, why use if_else() from dplyr when there is ifelse() from base R? Sure, if_else() has an extra argument option for processing missing values, that could still be handled with the base R version without much effort too. Sometimes I think the Tidyverse over-complicates code by offering more code choices when the base R version is equivalent or nearly as good.

Thank you! The only confusing this the final argument: TRUE ~. This is a bit counterintuitive.....

🎉 always love every post and always looking forward to more. Thank Greg# R_ Super hero 🦸🏽‍♂️ Very helpful.

Each time I try to download through the links you mention, I get confused, I cannot find this quarto link you mentioned now

your lessons is good but when you write a new function tell it job

Excellent tutorial!!! Boom shakalaka

Where the heck are Quebec and Mississippi coming from in the facet-wrap? I don't see them in the data table or the code.

i ♥u

Hello sir, I want to thank you for the lesson. Can I ask you what program you use for marking and deawing these rectangular in your video? Thank you in advance.

you are a brilliant teacher thank you very much you make R super fun and easy 🌹🌹🌹🌹🌹🌹🌹🌹

Thank you so much, Greg. Have never seen such an amazing instructor like you.

Really amazing.

I have no words, these lessons get better and better from one another. The way you explain every concept, and the way in which you remark every important information is simply astonishing. I'm learning my way in R and ggplot at a surprising speed all thanks to you. Again, no words. Keep up and thank you for your work.

I need to be an expert in data analysis i need help

Thank you Greg and Andrew. Great content!

ctrl enter just repeats the concatenation. It doesn't list types or show the environment

Hello Dr. Greg Martin, The videos on R programming are very interesting. I have two questions. 1. How can I impute the missing values precipitation of different stations in the basin using Multivariate Imputation by Chained Equations? 2). How can I check the quality of the precipitation and temperature data using RClimDex 1.1?

I think dlookr package is easier in handlig missing values and outliers

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

I learned this in a course last semester, it was tough at the beginning but I managed to pass. But this video would’ve been extremely useful. Nice explanation 👍

Jeez, I can't eve get beyond the first command &>&. - Error: unexpected '>' in "starwars &>"

i dont know why when i am running the complete cases code , it is showing error that " . " object is not found . Please help sir starwars|> select(name,gender,hair_color,height)|> filter(!complete.cases(.)) I ran this code

great stuff!!! NO waffle, yet sufficient info to get us started.

I was using python in my research but now am back to R keep going

slight BMI decrease in 2024 for the starwars universe feminine 20.8 masculine 25.7

Wonderful video as always, thanks Greg ❤

Thank you Greg, we love you ❤

Excellent tutorial.... Thank you!..

Thanks Greg, you're the best 👍

Wow!! You made it seem so easy. I am going to go through all of your video starting this month through December hoping to secure my first Data Analysis job.

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