Facet_Wrap title overlapping with y-axis in ggplotly? - r

Question

I am currently using a facet_wrap to knit data (html) to an Rmarkdown document. I am looking to use facet_wrap and ggplot to show this data.
This is how the data looks just in ggplot (not plotly):
However, when I use plotly the titles of each plot intersect with the y-axis making interpretability difficult
Here is the code to the first plot not using plotly
plot <- ggplot(dataframe, aes(x = week, y = measure))+
geom_line(size = 1.25, aes(color = "orange"))+
geom_point(size = 1.50)+
theme_economist()+
geom_smooth(method = 'auto', se = FALSE, size = .50)+
scale_x_continuous(breaks=seq(0,13,1))+
scale_y_continuous(labels = scales::dollar_format(scale = .0001, suffix = "K"))+
facet_wrap(vars(category), scales = "free", ncol = 3, nrow = 6)+
theme(legend.position = "none")+
ggtitle('Title')+
theme(
panel.grid.major = element_line(linetype = "dotted"),
axis.title.x = element_text( size = 10, margin=margin(30,0,0,0)),
axis.title.y = element_text( size = 10, margin=margin(0,30,0,0)),
axis.text = element_text( size = 10),
plot.title = element_text( size = 14, margin=margin(0,0,35,0), hjust = 0.5),
panel.background = element_rect(fill = NA),
strip.text = element_text(size=10)
)
Then here is what I do to conver it to plotly
ggplotly(plot)

Answer 1

Some random data:
require(stats)
r <- function(x) {abs(as.numeric(arima.sim(n=x, list(order=c(1,0,0),ar=0.95)))+10)}
dataframe = data.frame(week = rep(1:13,6), measure = r(13*6), category = rep(as.character(1:6),each=13))
Although I was not able to reproduce the overlapping y-axis labels, you can set the margins between the faceted plots by setting panel.margin.y and panel.margin.x inside the theme():
plot <- ggplot(dataframe, aes(x = week, y = measure))+
geom_line(size = 1.25, aes(color = "orange"))+
geom_point(size = 1.50)+
theme_economist() +
geom_smooth(method = 'auto', se = FALSE, size = .50)+
scale_x_continuous(breaks=seq(0,13,1))+
scale_y_continuous(labels = scales::dollar_format(scale = .0001, suffix = "K"))+
facet_wrap(vars(category), scales = "free", ncol = 3, nrow = 6)+
theme(legend.position = "none")+
ggtitle('Title')+
theme(
panel.grid.major = element_line(linetype = "dotted"),
axis.title.x = element_text( size = 10, margin=margin(30,0,0,0)),
axis.title.y = element_text( size = 10, margin=margin(0,30,0,0)),
axis.text = element_text( size = 10),
plot.title = element_text( size = 14, margin=margin(0,0,35,0), hjust = 0.5),
panel.background = element_rect(fill = NA),
strip.text = element_text(size=10), panel.margin.x = unit(1,"lines"), panel.margin.y = unit(0,"lines")
)
ggplotly(plot)
You can fine tune the margins to suit your plot.
Before:
> ggplotly(plot)
After:
> ggplotly(plot)