It would be cool if you did some videos on text analysis. I'm interested in learning how to use Quanteda and Tidytext but there just aren't many good tutorials on them.
They are very different. Mutate works even when the data frame is not grouped, but summarize will only work when the data frame is grouped, and it will use the logic of the pre selected group to arrange the data. To further understand the summarize function, first you will need to further understand what grouping does.
Hey great video. I was wondering how you're opening the dataframe in the source editor? Is it because you are using R markdown? And why are you using R markdown as opposed to R script?
Good question - I’m running each of the code chunks in the notebook with the keyboard shortcut control/command + shift + enter. This is how the data frame keeps showing up (because I’m printing it). I like using R markdown/R notebooks when I’m doing write ups or tutorials just because it’s easier to separate the code into blocks and add comments
I am glad I found this channel. This is awesome. Also, R is very powerful when it comes to data cleaning and wrangling. Even plotting becomes really flexible with the use of tidyverse. I don’t understand the hype behind Python. Yes, python is good for Machine Learning and other stuff. But R has an upper hand in my opinion when it comes to data preparation.
Even in the Machine Learning universe R is pretty useful and competitive. Python is more adopted and praised just because the companies are used to produce projects with it, so the cycle of usage and recommendation keeps going on. R can do everything that Python does, and sometimes with cleaner code and a more simplified syntax.
How can I reduce question scales of a survey question? for example, the question has 10 options (1-10), but I want to reduce to 3 options (0 = 1 2 3) (1 = 4 5 6 7) (2 = 8 9 10). Could you please help or indicate any video?
Wow, dude, thank you so much for this video and your clear explanations! You avoid most of the jargon and explain the concepts so well. Thank you so much!
Hey, I have an off-topic question. Please ignore it if you find it rude. I am German and I am still kind of trying to figure out subtle differences in how some English speakers speak. Are you Asian by any chance? Like I said, just ignore it if you find the question weird or annoying. Thanks for all the videos you make, they are exactly what I need to not lose my R skills as I don't need to use them that often
@@datasliceIt took me a while to figure out, but there's a small fitness youtuber I follow called Ericliaoo. I feel like your voice or way of speaking is somehow similar.
Thanks for the great video. I thought I was actually pretty good with dplyr until I watched this. :) By the way, how do you get the data to show up in a "View like" thing right below your dplyr command??
I'm using an R Notebook which you can access in RStudio from File > New. The R Notebook allows you to separate your code chunks (using control + alt + i) and then run a whole chunk of code with 'control + shift + enter', or just a single line with 'control + enter' -- the output will appear underneath.
