Comments (3)
Hello,
Here's an example :
library(cranlogs)
library(apexcharter)
library(dplyr)
library(lubridate)
# Download some data for the example
cdl <- cran_downloads(c("apexcharter", "billboarder"), from = "2022-07-01")
cdl %>%
# group by week and package
group_by(package, date = as.character(ceiling_date(date, unit = "week"))) %>%
summarise(count = sum(count)) %>%
# create a bar chart
apex(aes(date, count, fill = package), type = "column") %>%
# use stacked columns
ax_chart(stacked = TRUE) %>%
# customize x-axis
ax_xaxis(
tickPlacement = "on",
labels = list(rotateAlways = TRUE, style = list(colors = "#000")),
axisBorder = list(color = "#000"),
axisTicks = list(color = "#000")
)
Does it help you ?
Victor
from apexcharter.
Perfect, thanks. Didn't realize I needed to convert date to character. Love this package!
from apexcharter.
Yes the trick is to convert dates to characters to treat them as categorical variable, just be sure of the order of your data before plotting !
from apexcharter.
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from apexcharter.