week5_tidytuesday_kelseyvoss

By Kelsey Voss

Code/tools/approaches we have seen in class

I am seeing almost everyone use the tidyverse library and the janitor library
I see a lot of pipes being used to tidy the data with tidyverse functions like clean_names()
I see the function filter() being used a lot
I've seen the mutate function used many times

Code/tools/approaches that we have not seen in class

Many people are using visualization tools like ggsave, ggtext, ggplot and ggthemes. They use many different visualization functions like palette, caption, annotate, etc.
I also see people using functions like names_to and values_to

Data visualizations that I enjoyed

https://twitter.com/jebyrnes/status/1449394441882587136?s=20

I really enjoyed this figure done using geforce in which they have a large graph with a highlighted section that morphs into a second graph showing that close up of the highlighted section. I think this is very useful for trying to show portions of figures that may appear small when they are against a variable with a lot of change.

I also really liked this plot with the global seafood production that showed the data in two different ways. It had the evolution of production by species and then also had a second section for each species which showed the distribution among the 4 largest producers. I really liked how this graph was laid out because it made it easy to look at a lot of data at once. I also like how it used colour to help distinguish between different categories and variables.

Data visualizations that could be improved and how I would improve them

While I really liked this figure, I found it really hard to view. All of the worlds were just so small that you could only see the countries that stood out if they were in yellow or orange, but any of the other colours that were too close to the purple were too hard to see. I think it would have been better to use a different colour scheme for sure. I also think that this could have been enlarged. It may have been useful to do some sort of large world map and just show one species at a time or have it so you can display the data somehow on one full sized map. The skewed map itself is also hard to read so maybe if the maps were larger, not squished, and with different colours then this would be easier to read.

I also find this figure hard to read. It looks really good and unique but it is hard to read the bottom section of circular chart. I think this would have been easier to read if it were in a normal type of bar graph. This type of figure may work but with the percents only shown on one part of the chart, it is hard to interpret the data far away from the axis and especially upside-down. I think the axis could be in multiple sections and the data should definitely not be upside-down.

UM-R-for-EnvSci-Registered-Student-2021 / wk05-Tidytuesday-commentary