The figure from Amy Jones is one of my favourites from this week because it is clear and straightforward. Her use of ggforce:facet_zoom (a code we have not seen yet!) in this graph was really helpful when looking at relatively small data compared to relatively large data. I would have changed the colour scheme since the beige made it difficult to differentiate the other colours.
The figure by Christopher Nicault is beautiful, but I had to spend some time with trying to decipher what all the different components were. This figure would be great in a presentation where someone can walk the audience through the different components. However, as a standalone figure it would have been better if it was separated into two independent figures.
Material we have seen in class from Christopher:
The R markdown header (with the title, author, date, output) and setup
library()read_csvfilter()pivot_longer()group_by()summarize()mutate()%>% (our friend, the pipe)
Material we have not seen in class from Christopher:
slice_max()ungroup()left_join()
There are so many things in his code that we haven’t covered yet, but these are the ones that caught my eye!
The figure from Amy Jones is one of my favourites from this week because it is clear and straightforward. Her use of
ggforce:facet_zoom(a code we have not seen yet!) in this graph was really helpful when looking at relatively small data compared to relatively large data. I would have changed the colour scheme since the beige made it difficult to differentiate the other colours.The figure by Christopher Nicault is beautiful, but I had to spend some time with trying to decipher what all the different components were. This figure would be great in a presentation where someone can walk the audience through the different components. However, as a standalone figure it would have been better if it was separated into two independent figures.
Material we have seen in class from Christopher: The R markdown header (with the title, author, date, output) and setup
library()read_csvfilter()pivot_longer()group_by()summarize()mutate()%>%(our friend, the pipe)Material we have not seen in class from Christopher:
slice_max()ungroup()left_join()There are so many things in his code that we haven’t covered yet, but these are the ones that caught my eye!