week04-tidytuesday-leahdickenson

[leahdickenson]

Tidy Tuesday Commentary - Week 4

1. I saw the tidyverse tools we used in class being used frequently by every submission I looked at. @jroefive used the filter tool and pipe tool to filter out opening round games, @juliasilge created a tibble with the ncaa data and used the pipe tool and summarize tool to tidy the data. She also posted all her steps of code onto her blog, so this was a nice and easy way to follow her steps.

jroefive link juliasilge link

2. Every figure I looked at used ggplot, which is something we have yet to see. It is interesting to see the variations of figures created, from very simple linear graphs to very complex models.

3. I looked into @elianemitchell and her take on tidytuesday because she mentioned she was new to R, and I wanted to see what she used. I really liked how she was able to make her figure fun and visually appealing while still being new to R (gives me some hope that I will be able to do the same). She used basketballs as plot points and different colours of lines on the figure. I also really liked @charliegallagher model, it was different then anything I had seen, they used colours and a circle shape to represent a simple concept of each teams seeded placement and tournament placement.

elianemitchell twitter link charliegallagher twitter link

4. The figure that I think needs improvement is by @geokaramanis , the figure is neat and I understand the concept, I just did not like the use of the black line thickness is represent total wins. The black line makes the figure look messy and crowded. I would use a cleaner looking line or represent wins per year on a different axis or a different figure.

geokaramanis twitter link

[simonefaucher]

I also thought the same about @geokaramanis' figure! I'm usually a very visual person, but it took me an extra minute to really see what was going on in this one.