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Demonstrating the contrast between ggplot2 and baseR plotting #515
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@noman32 you are absolutely right. over time, the lesson has evolved in ways that are not necessarily optimal as a whole. since you have some experience teaching minimal base plotting before ggplot, would you be interested in submitting a PR with this change? |
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Aug 22, 2024
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@noman32 no worries if you're unable but wanted to double check |
Hi Juan,Thanks for your email. I have already forked a branch from the main. Still trying to figure out how to contribute. Will sit again in this weekend :)RegardsNoman
On Wednesday, September 4, 2024 at 04:14:12 PM GMT+1, Juan Fung ***@***.***> wrote:
@noman32 no worries if you're unable but wanted to double check
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Hi Juan,Just to let you know that I have made some changes in the 05-ggplot2.Rmd file and merged the pull request. Could you please have a look and let me know the way forward. To share, this is my first time ever incorporating any changes in github repository. Please let me know if I made any mistakes. Thanks in advance for your support.RegardsNoman
On Wednesday, September 4, 2024 at 09:07:31 PM GMT+1, Noman H Chowdhury ***@***.***> wrote:
Hi Juan,Thanks for your email. I have already forked a branch from the main. Still trying to figure out how to contribute. Will sit again in this weekend :)RegardsNoman
On Wednesday, September 4, 2024 at 04:14:12 PM GMT+1, Juan Fung ***@***.***> wrote:
@noman32 no worries if you're unable but wanted to double check
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@noman32 thank you so much! i will take a look at your repo and circle back. |
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How could the content be improved?
As this course is designed for anyone who does not necessarily have any previous exposure to R, I think showing a couple of examples of creating plots using baseR plot functions is useful. From my experience of training R to professionals, I found it quite motivating for the learners atleast to know that we can create plots and even add further layers on an existing plot using base R commands like plot(), abline() etc. However for better visualization, ggplot2 is certainly a good choice. In that way, learners can appreciate ggplot2.
In addition, learners (specially the new comers in R/programming) come to know that for quick plotting for eg EDA, we can simply use base R commands, without loading any additional library. We can either add couple of examples at the beginning of the ggplot episode or alternatively, at the end of ggplot episode, once they master the ggplot skills.
Just to share, in my trainings i show the learners very few examples from base R, lattice, qqplot (sharing with them some official documentation links for further exploration, if they like) and then go to ggplot in full swing. By this learners come to know there are multiple ways for visualization.
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