A strange problem for me. With this dataframe:
df <- data.frame(
stringsAsFactors = FALSE,
date = c("01/01/19","01/01/19",
"01/01/19","01/02/19","01/02/19","01/02/19","01/03/19",
"01/03/19","01/03/19"),
office = c("Agra","Bondi","Conta",
"Agra","Bondi","Conta","Agra","Bondi","Conta"),
count = c(8211L,1150L,570L,8241L,
1140L,587L,8035L,1172L,615L)
I try to make an area chart, with this code:
ggplot(df, aes(x=date, y=count, fill=office)) +
geom_area(size=0.5, alpha=0.8, color='yellow')+
scale_fill_viridis(discrete = TRUE)+
theme_ipsum()+
ggtitle("Customized area plot office sales")
but the result is this:
No areas, no data...
Any ideas?
I think your problem might be that your "date" column is being parsed as a character and not a date. You can use lubridate
to fix that. Note - I've used "dmy" because that's the most common way to format data, but if you are an American user (for example) you may need to use "mdy" instead.
library(tidyverse)
df <- data.frame(
stringsAsFactors = FALSE,
date = c("01/01/19","01/01/19",
"01/01/19","01/02/19","01/02/19","01/02/19","01/03/19",
"01/03/19","01/03/19"),
office = c("Agra","Bondi","Conta",
"Agra","Bondi","Conta","Agra","Bondi","Conta"),
count = c(8211L,1150L,570L,8241L,
1140L,587L,8035L,1172L,615L))
df %>%
mutate(date = lubridate::dmy(date)) %>%
ggplot(aes(x=date, y=count, fill=office)) +
geom_area(size=0.5, alpha=0.8, color='yellow') +
scale_fill_viridis_d() +
hrbrthemes::theme_ipsum()+
ggtitle("Customized area plot office sales")
Created on 2021-12-02 by the reprex package (v2.0.1)
That was the problem, now it works perfectly. Thanks JackDavison.
Regards
system
Closed
December 9, 2021, 3:33pm
4
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