I have 2 measures across 5 categories. Say, the speed and acceleration of 5 different runners. The speed and acceleration are on different y-axes due to being different units and the speed is solid and the acceleration is dashed. Each runner gets a different colour.
When I do this in plotly I get 10 items in the legend for each colour x linetype combination and the meaning is lost. In ggplot these attributes would be displayed separately, the 5 colours and the 2 line types, the meaning of the attributes are clear.
Can you display these attributes separately (similar to ggplot) using Plotly?
Note: the actual measures are not speed and acceleration, they’re just examples.
Here’s how far I’ve gotten, suitably annonymised with the speed/acceleration example above
plot_ly() %>%
# Make it so that all x axes pan together, even in side-by-side plots
layout(xaxis = list(title = "Speed",
matches = "x"),
# Add the right hand axis
yaxis2 = list(overlaying = "y",
side = "right",
title = "Acceleration")) %>%
# Draw the speed
add_lines(data = speed_data %>%
mutate(LineType = factor("Speed",
levels = c("Speed",
"Acceleration"))),
x = ~Date,
y = ~Speed,
color = ~Runner,
linetype = ~LineType,
yaxis = "y") %>%
# Draw the acceleration
add_lines(data = acceleration_data%>%
mutate(LineType = factor("Acceleration",
levels = c("Speed",
"Acceleration"))),
x = ~Date,
y = ~Accel,
color = ~Runner,
yaxis = "y2")