I have dashboard for a survey I am working on. The survey questions range in how many responses are available from 2 to 16 responses.
For clarity and readability I would like to keep the scale consistent across questions and the preference of by boss is that something like a virdis scale is used so its legible if it is in color or reprinted in black and white.
I want to ensure that the responses will always keep the same color options so position 1 in the graph will always be blue, position 2 green, position 3 purple, etc. (this is just an example it doesn't need to be a specific color the color just needs to be consistent). What occurs now is that the colors offered shift based on the number of possible responses available.
Below is a snippet of the styling code that I am utilizing for reference
an_inhome_graph<-ggplot(data = an_inhome_df, aes(x = Response, y = n,
fill=Response,
tooltip = paste
(n, "Participants"))) +
geom_bar_interactive(stat = "identity",show.legend = FALSE) +
ggtitle(paste("Q16: Do animals come inside the place where you live?"))+
scale_fill_viridis_d(direction = 1) +
scale_x_discrete(labels = c("No", "Yes"))+
labs(x = NULL, y = NULL) +
theme( # Some styling
text = element_text(family = "serif", colour = "#5EB9D6", size=12),
axis.text = element_text(family = "serif", colour = "#5EB9D6",
size=12,angle=90),
legend.position = NULL,
plot.background = element_rect(fill="white",colour="white"),
panel.background = element_rect(fill="white",colour="white"))
I have tried to change the direction of viridis, as well as changing start and begin with no luck