Plotting the baseline
You can use different data sets for different layers in plotly
, just like you can in ggplot2
. This is a useful strategy when you want to display a baseline time point (or group) in an animation. In this exercise, your task is to create an animated scatterplot of housing price index against real GDP, keeping the 1997 data points in the background.
This exercise is part of the course
Intermediate Interactive Data Visualization with plotly in R
Exercise instructions
- Add static points representing the data from 1997 (found in
us1997
) as the first layer. Set thecolor
of these points to"gray60"
and theopacity
to0.5
. - Add a second trace to create an animated scatterplot over time (
year
) using the entireus_economy
data frame. Remember that each point represents astate
in any givenyear
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# extract the 1997 data
us1997 <- us_economy %>%
filter(year == 1997)
# create an animated scatterplot with baseline from 1997
us_economy %>%
plot_ly(x = ~gdp, y = ~house_price) %>%
add_markers(data = ___, marker = list(color = ___, opacity = ___)) %>%
add_markers(frame = ___, ids = ___, data = us_economy, showlegend = FALSE, alpha = 0.5) %>%
layout(xaxis = list(type = "log"))