Wk07-TidyTuesday-Ultra_Marathons

[lcorlett]

Tidy Tuesday – Wk 07

Code/Tools/Approaches That We Have and Have Not Seen in Class:

Have Seen	Have Not Seen
ggplot	camcorder
patchwork	colorspace
janitor	ggmap
tidyverse	gganimate
dplyr	XML
readr	shadowtext
rmarkdown	lubridate

The above are packages that we have and have not seen in class. These examples were primarily taken from three figures: Georgios Karmanis , Jamie Hudson and Lee Olney.

Data Visualizations (Figures) That I Enjoyed:

I liked Karamanis' figure showing the difference of median pace between men and women by nationality. This figure is aesthetically pleasing and easy to read. He captured a lot of information from the dataset, versus other figures I saw that only included overall times for competitors. Karamani used several packages that we have seen in the course, such as tidyverse, patchwork andggplot. He used specific codes that we have seen, such as: %>%, pivot_wider, geom_segment, geom_point, geom_text, geom_rect. Karamanis also used packages that we have not seen: camcorder and colorspace. Some specific code Karamanis used that we have not seen is: gg_record, g_diff = M – W, left_join and ungroup(). While we have used group_by, we have not used ungroup. Karamanis also used filter in his code, however, he used ">" signs to separate variables: filter(!is.na(nationality) & !is.na(time) & distance > 0 & !is.na(gender) & age > 0) %>%.

Data Visualizations (Figures) That Need Improvement:

While I enjoyed most of this week's figures, there are a few things I would change about Lee Olney's figure. This is one of the first mosaic figures that I've seen, which was useful for learning purposes when looking at the code. However, he only includes the total number of contestants by gender, whereas other figures included much more detail, such as race times and nationality. I feel as though this figure does not represent the overall data set effectively. I would also change the title and the subtitle so both read "Men and Woman" vs. "Woman and Man" or "Women and Man." Lee used several packages that we have not yet seen, including ggmosaic, lubridate, and ggtext.