In @geokaramanis code he used the filter, clean names, pivot longer, group by and mutate functions that we seen in class this week to organize and manipulate the data before using ggplot to plot.
In this code it was also interesting to see how he used this data to generate random points to be plotted using the poissoned package which we have not seen in class.
Overall I really enjoyed this data visualization that he made in a very unique way, he sort of created data to plot by using other data (via the poissoned package, I think?). Which turned out to be a great way to visualize the changes in fish production over time.
This data visualization was mostly focused on aesthetics which was really amazing how he matched the theme of the data so well. I think his visualization could have been a lot more informative if he categorized the data by ocean and year, rather than filtering the data to only use the total world values but would have more coding with the data when his main goal was plotting the theme of the data.
https://twitter.com/geokaramanis/status/1447913599712825349?s=20
In @geokaramanis code he used the filter, clean names, pivot longer, group by and mutate functions that we seen in class this week to organize and manipulate the data before using ggplot to plot.
In this code it was also interesting to see how he used this data to generate random points to be plotted using the poissoned package which we have not seen in class.
Overall I really enjoyed this data visualization that he made in a very unique way, he sort of created data to plot by using other data (via the poissoned package, I think?). Which turned out to be a great way to visualize the changes in fish production over time.
https://twitter.com/Jamie_Bio/status/1448388653064073226?s=20
This data visualization was mostly focused on aesthetics which was really amazing how he matched the theme of the data so well. I think his visualization could have been a lot more informative if he categorized the data by ocean and year, rather than filtering the data to only use the total world values but would have more coding with the data when his main goal was plotting the theme of the data.