Saving figures as a .pdf pdfttools::pdf_convertCodeLink
Using the readr::read_csv function to draw data from GitHub CodeLink
Data visualizations that were enjoyed:
I really really liked this figure outputted by @issa_madjid for a variety of reasons, but primarily because of the abundance of easily interpreted information. It has a logical flow for informative pieces one would need to appreciate the figure. Loved it.
As always, the colours of these figures by @cnicault were very pretty and grabbed my attention. I liked both the evolutionary description of species demand and how easily transferable the figure on the left was to distribution data on the right. As of today, I did not see any other figures do something like this.
Data visualizations for improvement:
Normally the gganimate plots look super cool, but I couldn’t help but hate this figure by @dataR_amateur. There was too much movement and data pieces everywhere that it hurt my brain trying to read it all. I was also extremely distracted by the moving flag circles which were a.) potentially expanding in a certain size according to the legend and b.) looked different and/or appeared upside DOWN occasionally. Besides the rotation of the flag circles, the animation is a good idea to show yearly-changes. However, I would try and make the original (30000) income sizes much bigger (extremely small and hard to see). Maybe try and clean up the title, its super informative which is nice but absolutely massive, chunky, not distinguishable from the other data/axis, and the date wasn’t super apparent at first. The commentaries at the bottom need to be moved further down from the x-axis or removed completely. The more I think about it, the uglier this plot has become.
This plot by @annapurani93 was really pretty because of the colours and it did feature multiple figures that were descriptive/useful. However, there were too many to be attached as a single ‘plot’ type. I like them, just not all together in a string; break them up or re-adapt to feature this information as an asynchronous figure.
This stream graph by @javischw was… alright? I don’t mind the idea and colouration, but I dislike the lack of absolute clarity for certain production values of some countries. For example, pelagic fish production in Japan during the 1980s-90s include a large economic range from $0 to -$4M unless I am interpreting this wrong. Make these values more clear, not sure how though in this graph type.
TidyTuesday Commentary- Week 05
Code/Tools/Approaches we have seen in class:
Some similar features and/or code, outside of using the
library(tidyverse)data package functions;group_by (Entity) %>%CodeLinkfilter(Year==2013) %>%CodeLink.Rmdformatting to produce graphics CodeLinkCode/Tools/Approaches not seen within class:
Some things I’ve never heard of or sounds cool;
glue::glueCodeLinkpdfttools::pdf_convertCodeLinkreadr::read_csvfunction to draw data from GitHub CodeLinkData visualizations that were enjoyed:
Data visualizations for improvement:
gganimateplots look super cool, but I couldn’t help but hate this figure by @dataR_amateur. There was too much movement and data pieces everywhere that it hurt my brain trying to read it all. I was also extremely distracted by the moving flag circles which were a.) potentially expanding in a certain size according to the legend and b.) looked different and/or appeared upside DOWN occasionally. Besides the rotation of the flag circles, the animation is a good idea to show yearly-changes. However, I would try and make the original (30000) income sizes much bigger (extremely small and hard to see). Maybe try and clean up the title, its super informative which is nice but absolutely massive, chunky, not distinguishable from the other data/axis, and the date wasn’t super apparent at first. The commentaries at the bottom need to be moved further down from the x-axis or removed completely. The more I think about it, the uglier this plot has become.