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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.

Bu egzersiz

Intermediate Interactive Data Visualization with plotly in R

kursunun bir parçasıdır
Kursu Görüntüle

Egzersiz talimatları

  • Add static points representing the data from 1997 (found in us1997) as the first layer. Set the color of these points to "gray60" and the opacity to 0.5.
  • Add a second trace to create an animated scatterplot over time (year) using the entire us_economy data frame. Remember that each point represents a state in any given year

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

# 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"))
Kodu Düzenle ve Çalıştır