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Example phrasing: "The Console is located in the Panel beneath the Welcome page."
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Other useful names: Activity Bar (far left), Primary Side Bar (next in; only appears if
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you choose something in the Activity Bar; disappears if you click on that thing again),
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Editor (old Source pane), Panel (area lower left by default, with Console)
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Secondary Side Bar (raw right, with objects like Viewer and Plots). Not clear what
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differentiates the Panel from the Secondary Side Bar.
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`Command + \`` to switch between Positron windows.
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This Yoube is good: https://www.youtube.com/watch?v=-jhTjOK4vQ8
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Note that guide to using the plot window, toward the end,
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especially just adding plotly::ggplot() and, thereby, making the current plot
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interactive. I also like the examination of the different panels (Variables, Data, Values)
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below Session.
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### Me
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Data Import and Numbers took 90/80 minutes last summer. That is too long. Edit them so that they are closer to 60 minutes.
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Put a new version of R4DS on CRAN. This will require dealing with a couple of annoying NOTES from R CMD check.
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In earlier tutorials, switch to GitHub pages in place of Rpubs? Probably not.
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Create a Positron Tutorial. Call it tutorial 30.
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Expand AI material in getting help tutorial.
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Ensure that any useful material from Quarto R4DS chapter 28 is added to the RStudio and Quarto tutorial.
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Add a section to Quarto Websites Introduction tutorial which covers much of the material in Quarto Formats R4DS chapter 29. See below for some info.
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Ensure that RStudio and Code and RStudio and Github tutorials link up well together.
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Write one Exploration Project tutorial.
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Tighten some longer tutorials so that they are more like 60 minutes. See below.
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### Mark
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For each of these tutorials, please complete them (send me the html answers by email) and submit a PR with your corrections and changes. This is all somewhat high priority because students will be completing all these tutorials on M/T/W next week.
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Clean 03.
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Clean 04a and 04b.
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Clean 05.
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Clean tutorial 06. I have fixed all the major issues. But please fix remaining typos and other issues.
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### Khang
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Test Data Visualization tutorial. Fix up any problems.
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The styler package and its use seem important and worth discussing. See https://www.youtube.com/watch?v=_nAfJ-5nkcU&authuser=0 for other interesting options. Note its addition to the new verion of RStudio.
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### Exploration Projects
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Original idea for this comes from Jade. Key points:
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* Ultimate standard for success of the course is the quality of student final projects. So, the more time that students practice making final projects, the better.
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* We want students to have a professional portfolio. These projects can, perhaps with some more work, serve as starter elements of that portfolio.
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* Students vary in terms of their talent and willingness to work hard. Exploration Projects provide an opportunity for skilled and diligent students to push themselves.
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* Projects start with standard construction of a website, so require that students have completed the two Quarto websites tutorial.
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* We encourage the use of AI extensively. Indeed, a primary purpose of these projects is to force students to make greater use of AI tools. There is no more important skill to teach them.
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* All the resulting URLs are gathered and shared with the class as a whole, with the best results highlighted.
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* We specify the data that should be used for the plot, at least for the first few tutorials. Perhaps the naming convention is EP: Diamnds, EP: Crime, and so on --- where "EP" stands for Exploration Project and the name of the dataset to use follows the colon.
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* Ideally, we might connect these projects to cool-looking professional work. That is, we find a nice looking New York Times data project, with some public data, and then encourage students to make something which looks just as good if not better.
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