pssstl/viz

viz's Issues

Cianna's Peer Review

@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.

Feedback

Thanks Ting-fen! As I mentioned before, I think you should be very proud of what you've produced here. You've come a long way and this is a really beautiful and professional looking dashboard that clearly communicates your data.

Demographics

• Your progression here is really clear here and I think each version is better than the previous. Adding in male/female was a really nice touch. You might try changing the color of those labels to something like gray40 or maybe even white.

Recommend

• Again, really clear progression. Your first version basically doesn't make sense (the bandwidth is too large). Your second version is nice but doesn't quite work. Your final version is beautiful and effective.

More

• I appreciate that you used a table. Generally I'm pretty anti tables, but it's kind of a nice change of pace when grading these and I think it's really effective in this case. One thing that I think could be improved is making it more clear (through the title probably) that the numbers are percentages. I see it in the note, but making this more prominent would probably be good.

Experience

• Really clear evolution of the plot again.
• Looks like the only difference between final and final final is that you're not printing something in the background.

Points

At least three different visualizations (30 points; 10 points each)
Design choices 10
Plot appropriate for given audience 10
Evolution of the plot is clear 10

Reproducibility (20 points)
Should be housed on GitHub 10

• I'd recommend working on your commit messages a bit. They are not super informative at the moment. The dates of the commits are already stored by GitHub.

I’ll clone and try to reproduce 10

Deployment (10 points) 10
Should be shareable via a link
No errors in the specific chosen format
Clear, clean, easy to follow/understand