Looking at @geokaramanis data visualization and code today. He used mostly only tools that we have seen in class including the patchwork package we seen last week. I could follow his code for the most part, he used theme minimal then adjusted some of the axes and plot background. In the data visual itself you can't really see any information in the second graph on the right but from looking at the code I believe its the count of gender from each country.
I also seen someone comment on twitter that the fastest men in DOM (the largest men "lollipop") is only based off two people so as that person commented an improvement of this data visualization would have been a good idea to include an error analysis. Georgios also agreed with this but regardless this was still a great data visualization idea. I can't remember if we've seen the geom_segment function but that function coupled with the geom_point is a cool data representation.
Meghan had a clean raincloud plot showing the average age of runners in Canada, United States and Mexico. The code was quite confusing to me because she consistently used a function called "for" which allowed her to work with 3 datasets at once, I think. She also used it to apply the proper colors to each of the graphs. She made her own color palette as a function. Using that for function she basically set the nationalities to equal i and whenever she put it in brackets it ran the 3 datasets at once filtered by i. I'm not sure but I like her data visualization a lot it looks very clean with the theme elements and colors she used. The data is very transparent and her code was very well organized and even though I didn't know all of the tools she was using I could still read it and understand what she was doing thanks to her organization and comments.
I also seen someone comment on twitter that the fastest men in DOM (the largest men "lollipop") is only based off two people so as that person commented an improvement of this data visualization would have been a good idea to include an error analysis. Georgios also agreed with this but regardless this was still a great data visualization idea. I can't remember if we've seen the geom_segment function but that function coupled with the geom_point is a cool data representation.
https://twitter.com/meghansharris/status/1453228577256722432?s=20
Meghan had a clean raincloud plot showing the average age of runners in Canada, United States and Mexico. The code was quite confusing to me because she consistently used a function called "for" which allowed her to work with 3 datasets at once, I think. She also used it to apply the proper colors to each of the graphs. She made her own color palette as a function. Using that for function she basically set the nationalities to equal i and whenever she put it in brackets it ran the 3 datasets at once filtered by i. I'm not sure but I like her data visualization a lot it looks very clean with the theme elements and colors she used. The data is very transparent and her code was very well organized and even though I didn't know all of the tools she was using I could still read it and understand what she was doing thanks to her organization and comments.