datalorax
commented
5 years ago Nice job, Cianna! Just a minor point of clarification - setting the theme using theme_set actually sets it for the entire script, not just the chunk.
I like the idea of looking at proportions as well as counts.
I think making what the training is more evident in the plots is a good idea. This could perhaps be done with a caption or a subtitle. See here for a good example.
Well done!
@pssstl @datalorax
Areas of Strength: • You did an excellent job keeping your plots clean and clear by not trying to pack too much information in, it made them very easy to understand at first glance. • You did a great job experimenting with different types of plots to visualize a specific set of data, it helped me see how thorough your thought process was. • I liked your use of a dot plot! It was a very creative was to indicate participant responses and the colors were great for indicating group. • I think your table was a very effective way to show a lot of information at once.
Something I learned from Reviewing Script: • I didn’t know you could set theme minimal for the whole chunk. This made you code look cleaner and your plots had that theme right away, which looked nice.
Areas for Improvement:
Plot 1 • The title of your plot could tell us more about who the sample is. Is there a specific group of people that were surveyed? • Count is certainly a good measure, but you could also consider proportion to? Sometimes it is easier to compare in percentages than raw number. • I’m not sure that you need the label ‘category’, you could probably go without a label here.
Plot 2 • What kind of training are you referring to in the title? That may help orient the reader faster to the results • I think the dot plot is an effective way to include information about both response and category. Although I did find it a little difficult to compare within a category. For example, I can see that more graduate students responded strongly agree than agree but it’s hard to tell how much more. You might experiment with faceting by category to see if that helps comparison at all.
Plot 3 • An overall title might help orient us to what the original question was. Maybe something like “The retreat was..” • You might consider cutting out the categories that no one responded to so the reader can focus their attention on the categories that did have responses.
Plot 4 • Probably no need for the axis label word use since it is clear that the categories are in response to the question posed in the title. • I’m not sure if you want to include the category feel in this plot since it is more of a connecting word than an emotion word.