I think that the title doesn't really help, but... let's go.
I have data about a candidates tweets. Its a dataframe and one of the columns its named "Tweets" (each row I have a different tweet). I've used the following functions to make a frequency table:
frequencytable <- candidate$Tweets %>%
na.omit() %>%
tolower() %>%
strsplit(split = "[ .,!]") %>% # or strsplit(split = "\\W")
unlist() %>%
gsub('[.?:!,"\n"]', '', .) %>%
table() %>%
sort(decreasing = TRUE)
after that, I got results like these (a large table, without column names, where the rows are different words with their corresponded frequency below):
hello bye good money red
567 321 22 61 98
In dput format:
frequencytable <-
c(hello = 567L, bye = 321L, good = 22L, money = 61L, red = 98L)
(imagine that the numbers are below the words) and so on (I think that I have about ~500 occurrences)........
And now I want to show these results in a simple bar chart graph, but I'm struggling a lot.
I've tried something like:
ggplot(data = candidate$Tweets) +
geom_bar(mapping = aes(x = frequencytable))
It doesn't work... I've done some research and I found some tips like: turn it into a dataframe and after that proceed with the ggplot but I'm really stuck.
Here are three solutions starting with the frequency table.
Make up a data set.
set.seed(2020)
frequencytable <- table(sample(letters[1:4], 100, TRUE))
Base R.
barplot(frequencytable)
Now, ggplot2 solutions. Load the package first.
library(ggplot2)
df1 <- as.data.frame(frequencytable)
ggplot(df1, aes(Var1, Freq)) + geom_col()
df2 <- stack(frequencytable)
ggplot(df2, aes(ind, values)) + geom_col()