I am having a little bit of trouble inserting labels on a bar chart in ggplot2.
So far, I have been able to create the bar chart.
Pizza_bar <- ggplot(Pizza_Data_Research_Rockstar, aes(Number_of_times_eaten_pizza))
Times_eaten_pizza_7_days_bar <- Pizza_bar + geom_bar()
Times_eaten_pizza_7_days_bar
Don't know how to automatically pick scale for object of type tbl_df/tbl/data.frame. Defaulting to continuous.
The challenge becomes labeling the count of the different categories. Since I am newbie at R, I went searching for code examples but keep getting error messages.
ggplot(Pizza_Data_Research_Rockstar, aes(x= Number_of_times_eaten_pizza, y = count))+
geom_bar(stat = "identity", fill = "steelblue") +
geom_text(aes(label=count), vjust=-0.3, size=3.5) +
theme_minimal()
Don't know how to automatically pick scale for object of type tbl_df/tbl/data.frame. Defaulting to continuous. Don't know how to automatically pick scale for object of type function. Defaulting to continuous. Error in (function (..., row.names = NULL, check.rows = FALSE, check.names = TRUE, : arguments imply differing number of rows: 46, 0
That is the closest that I have gotten to adding labels.
Could someone please help? Thank you.
Luis
I really could't understand your data, so I made up my own:
library(ggplot2)
Days = c("Monday", "Tuesday", "Thursday", "Friday")
Pizzas = c(40, 50, 10, 25)
Pizzadf = as.data.frame(cbind(Days, Pizzas))
Pizzadf$Pizzas = as.numeric(as.character(Pizzadf$Pizzas))
Pizzadf
#> Days Pizzas
#> 1 Monday 40
#> 2 Tuesday 50
#> 3 Thursday 10
#> 4 Friday 25
ggplot(data = Pizzadf, aes(x = Days, y = Pizzas))+
geom_bar(stat = "identity", fill = "steelblue") +
geom_text(aes(label=Pizzas), vjust=-0.3, size=3.5) +
theme_minimal()
Try to modify and adjust.