Revisiting the cores in the current meta
So I’ve now collected data from about 500 matches on the mid-ladder and updated the core results. I’ve converted it into a table so it’s a bit more interactive and gives more detail on the cores. You can click on the headers to sort and reverse sort the table to see the top used mons in each core.
Here’s the breakdown. I don’t have a lot of commentary as the table kind of explains itself.
library(DT)
library(readr)
library(formattable)
library(dplyr)
df <- read_csv(here::here('output.csv'))
df %>%
select(pokemon, everything()) %>%
mutate(
X1 = round(X1*100),
X2 = round(X2*100),
X3 = round(X3*100),
X4 = round(X4*100),
X5 = round(X5*100),
X6 = round(X6*100)
) %>%
select(pokemon, X5, X2, X3, X1, X6, X4) %>%
rename(
`Shadow Rider` = X1,
`Sun Variants` = X2,
`Swordfish` = X3,
`Random Stuff` = X4,
`Sun Canon` = X5,
`Trick Room` = X6
) %>%
arrange(-`Sun Canon`) %>%
formattable(
list(`Shadow Rider` = color_tile('transparent', '#695bb7'),
`Sun Canon` = color_tile('transparent', '#c54228'),
`Sun Variants` = color_tile('transparent', '#f9e251'),
`Swordfish` = color_tile('transparent', '#1763ae'),
`Random Stuff` = color_tile('transparent', '#dd1c77'),#31a354
`Trick Room` = color_tile('transparent', '#6bb9ab')#6bb9ab
)
) %>%
as.datatable(options = list(pageLength=50))
For attribution, please cite this work as
melondonkey (2022, April 5). Pokemon Analysis: More Data, More Cores. Retrieved from https://pokemon-data-analysis.netlify.app/posts/2022-04-05-more-data-more-cores/
BibTeX citation
@misc{melondonkey2022more, author = {melondonkey, }, title = {Pokemon Analysis: More Data, More Cores}, url = {https://pokemon-data-analysis.netlify.app/posts/2022-04-05-more-data-more-cores/}, year = {2022} }