Here is one of the dataset I have been practicing on R-cloud and this the approach:
data_long %>%
filter(Indicator == "Emissions")
glimpse(data_long)
## This is suppose to return 2 columns Year & Emissions, it ends up aggregating values:
## Emissions
## 1417688795
data_long %>%
filter(Indicator == "Emissions") %>%
group_by(Year) %>%
summarize(Emissions = sum(Value))
## Another -- Error in `check_aesthetics()`:
## ! Aesthetics must be either length 1 or the same as the data (1): x
data_long %>%
filter(Indicator == "Emissions") %>%
group_by(Year) %>%
summarize(Emissions = sum(Value)) %>%
ggplot(aes(x = Year, y = Emissions)) +
geom_line(size = 1.5)
I am assuming there is a issue with one of the packages (gradethis) or (learnr) as I am using R-cloud, are there any working limitations with it? any suggestions?
Thanks, Vikram