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Add more specific objectives about what the students will be able to do #6

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sstevens2 opened this issue Oct 5, 2017 · 3 comments

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@sstevens2
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@byandell
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byandell commented Oct 5, 2017

objectives

  • create a plot: dataset, aesthetics, geoms
  • syntax of + and printing of plot
  • annotating a plot with colors and titles
  • combining ggplot with dplyr

Differentiating between color="red" and color=columnname

Understanding ways to differentiate data in a plot: color, facets, line types, size, labels,
and multiple plots reorganized in different ways (what is on x, y axis vs color in plot; flip roles of color and facet)

overview of effective data visualization
scatter plot to jittered plot (or box plot?) in quick succession

first pass: what would we cut and rearrange of what we have
second pass: options for capstone

@byandell
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byandell commented Oct 5, 2017

meaning of + as part of creating an object and then printing it
avoid p <- ggplot() + ... and p + ... lazy approach

@byandell
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byandell commented Oct 5, 2017

Thinking also about dplyr and ggplot both having building blocks acting on objects. You can assign to an R object or you can print it. You can also save (export) to external file outside R

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