I have a data frame that looks as below:
Engine | Predicted RUL| Actual RUL
1 | 172 | 112
2 | 126 | 98
3 | 27 | 69
4 | 52 | 82
5 | 84 | 91
... | ... | ...
100 | 5 | 20
I would like to visualize Predicted RUL compared to Actual RUL for each Engine. Similar to
Perhaps, using dodged bar plot would be easier to visualize ?
df %>%
pivot_longer(cols = -Engine, names_to = "RUL_Type") %>%
ggplot(aes(Engine, value, fill = RUL_Type))
geom_col(position = "dodge")
scale_fill_manual(values = c("blue", "red"))
data
df <- structure(list(Engine = 1:5, Predicted_RUL = c(172L, 126L, 27L,
52L, 84L), Actual_RUL = c(112L, 98L, 69L, 82L, 91L)), row.names = c(NA,
5L), class = "data.frame")