自定义布局

R 中的 plotly 交互式数据可视化

Adam Loy

Statistician, Carleton College

layout()

坐标轴： 类型、标签、刻度、变换等
图例： 位置
画布： 网格线、背景色
尺寸： 高度、宽度、边距

轴标签

winequality %>%
  plot_ly(x = ~free_so2, y = ~total_so2) %>%
  add_markers(marker = list(opacity = 0.2))

轴标签

winequality %>%
  plot_ly(x = ~free_so2, y = ~total_so2) %>%
  add_markers(marker = list(opacity = 0.2)) %>%
  layout(xaxis = list(title = "Free SO2 (ppm)"),
         yaxis = list(title = "Total SO2 (ppm)"))

标题

winequality %>%
  plot_ly(x = ~free_so2, y = ~total_so2) %>%
  add_markers(marker = list(opacity = 0.2)) %>%
  layout(xaxis = list(title = "Free SO2 (ppm)"),
         yaxis = list(title = "Total SO2 (ppm)"),
         title = "游离 SO2 能预测总 SO2 吗？")

轴变换

winequality %>%
  plot_ly(x = ~free_so2, y = ~total_so2) %>%
  add_markers(marker = list(opacity = 0.2)) %>%
  layout(xaxis = list(title = "Free SO2 (ppm, log scale)", type = "log"),
         yaxis = list(title = "Total SO2 (ppm, log scale)", type = "log"),
         title = "游离 SO2 能预测总 SO2 吗？")

自定义网格

winequality %>%
  plot_ly(x = ~free_so2, y = ~total_so2) %>%
  add_markers(marker = list(opacity = 0.5)) %>%
  layout(xaxis = list(title = "Free SO2 (ppm)", zeroline = FALSE),
         yaxis = list(title = "Total SO2 (ppm)", zeroline = FALSE, 
                      showgrid = FALSE))

自定义画布

winequality %>%
  plot_ly(x = ~free_so2, y = ~total_so2) %>%
  add_markers(marker = list(opacity = 0.5)) %>%
  layout(xaxis = list(title = "Free SO2 (ppm)"),
         yaxis = list(title = "Total SO2 (ppm)"),

         plot_bgcolor = toRGB("gray90"),

         paper_bgcolor = toRGB("skyblue"))

Vamos praticar!

R 中的 plotly 交互式数据可视化