How to count the total entries by group when they are comma-separated

I'm working with the League of Legends Champions dataset

And I was wondering how to count the total champions per tag, I'm really new in R, so I made a solution that I think is very bad and I know that may be a function that can help with this.

Here are the packages that I'm using

library(tidyverse)
library(janitor)

First, I separate my tags in different columns

lol_champions_tags <- lol_champions_clean %>% 
  select(name, tags) %>% 
  separate(tags, sep = ',', into = paste0('tag', 1:2))

Then, I calculate the total entries per tag

lol_champions_tags %>% 
  select(name, tag1) %>% 
  group_by(tag1) %>% 
  summarise(N = n()) -> tag1

lol_champions_tags %>% 
  select(name, tag2) %>% 
  drop_na() %>% 
  group_by(tag2) %>% 
  summarise(N = n()) -> tag2

And finally I put all together and made the addition

champions_per_tag <-
bind_cols(tag1, tag2) %>%
clean_names() %>%
select(tag1,n_2,n_4) %>%
mutate(total_entries = n_2 + n_4) %>%
select(tag1, total_entries)

I was wondering if there was better way to do this or if there is a function that could handle this type of situation.

Maybe you want just this one-liner

> as.data.frame(table(unlist(strsplit(lol_champs$tags, ",", fixed=TRUE))))
      Var1 Freq
1 Assassin    3
2  Fighter    1
3     Mage    1
4 Marksman    1
5  Support    1
6     Tank    1

The last code section appears unclear to, so I do not replicate it.

Note

lol_champs = read.table(text="name   tags
Aatrox  Fighter
Ahri    Mage,Assassin
Akali   Assassin
Akshan  Marksman,Assassin
Alistar     Tank,Support", header=TRUE)