Sección #8 - 3D Charts

# load the plotly
library (plotly)
## Warning: package 'plotly' was built under R version 4.3.3
## Loading required package: ggplot2
## 
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
## 
##     last_plot
## The following object is masked from 'package:stats':
## 
##     filter
## The following object is masked from 'package:graphics':
## 
##     layout
# load the diamonds dataset from the ggplot2 package
data(diamonds, package="ggplot2")
diamonds
## # A tibble: 53,940 × 10
##    carat cut       color clarity depth table price     x     y     z
##    <dbl> <ord>     <ord> <ord>   <dbl> <dbl> <int> <dbl> <dbl> <dbl>
##  1  0.23 Ideal     E     SI2      61.5    55   326  3.95  3.98  2.43
##  2  0.21 Premium   E     SI1      59.8    61   326  3.89  3.84  2.31
##  3  0.23 Good      E     VS1      56.9    65   327  4.05  4.07  2.31
##  4  0.29 Premium   I     VS2      62.4    58   334  4.2   4.23  2.63
##  5  0.31 Good      J     SI2      63.3    58   335  4.34  4.35  2.75
##  6  0.24 Very Good J     VVS2     62.8    57   336  3.94  3.96  2.48
##  7  0.24 Very Good I     VVS1     62.3    57   336  3.95  3.98  2.47
##  8  0.26 Very Good H     SI1      61.9    55   337  4.07  4.11  2.53
##  9  0.22 Fair      E     VS2      65.1    61   337  3.87  3.78  2.49
## 10  0.23 Very Good H     VS1      59.4    61   338  4     4.05  2.39
## # ℹ 53,930 more rows

8.1 Markers

plot_ly(mpg, x = ~cty, y = ~hwy, z = ~cyl) %>%
  add_markers(color = ~cyl)

Figure 8.1: A 3D scatterplot.

8.2 Paths

plot_ly(mpg, x = ~cty, y = ~hwy, z= ~cyl) %>%
  add_paths(color = ~displ)

Figure 8.2: A path with color interpolation in 3D.

8.3 Lines

plot_ly(mpg, x = ~cty, y = ~hwy, z= ~cyl) %>%
  add_lines(color =  ~displ)

Figure 8.3: A line with color interpolation in 3D.

plot_ly(mpg, x = ~cty, y = ~hwy, z = ~cyl) %>% 
  group_by(cyl) %>%
  add_lines(color = ~displ)

Figure 8.4: Using group_by () to create multiple 3D lines.

8.4 Axes

plot_ly(mpg, x = ~cty, y = ~hwy, z = ~cyl) %>%
  add_lines(color = ~displ) %>%
  layout(
    scene = list(
      xaxis = list (title = "MPG city"),
      yaxis = list (title = "MPG highway"),
      zaxis = list (title = "Numbers of cylinders")
    )
  )

Figure 8.5: Setting axis title on a 3D plot.

8.5 Surfaces

x <- seq_len(nrow(volcano)) + 100
y <- seq_len(ncol(volcano)) + 500
plot_ly() %>% add_surface(x = ~x, y = ~y, z= ~volcano)

Figure 8.6: A 3D surface of volcano height.