e_scatter_3d | R Documentation |
Add 3D scatter.
e_scatter_3d(
e,
y,
z,
color,
size,
bind,
coord_system = "cartesian3D",
name = NULL,
rm_x = TRUE,
rm_y = TRUE,
legend = FALSE,
...
)
e_scatter_3d_(
e,
y,
z,
color = NULL,
size = NULL,
bind = NULL,
coord_system = "cartesian3D",
name = NULL,
rm_x = TRUE,
rm_y = TRUE,
legend = FALSE,
...
)
e |
An |
y, z |
Coordinates. |
color, size |
Color and Size of bubbles. |
bind |
Binding. |
coord_system |
Coordinate system to use, one of |
name |
name of the serie. |
rm_x, rm_y |
Whether to remove x and y axis, defaults to |
legend |
Whether to add serie to legend. |
... |
Any other option to pass, check See Also section. |
v <- LETTERS[1:10]
matrix <- data.frame(
x = sample(v, 300, replace = TRUE),
y = sample(v, 300, replace = TRUE),
z = rnorm(300, 10, 1),
color = rnorm(300, 10, 1),
size = rnorm(300, 10, 1),
stringsAsFactors = FALSE
) |>
dplyr::group_by(x, y) |>
dplyr::summarise(
z = sum(z),
color = sum(color),
size = sum(size)
) |>
dplyr::ungroup()
matrix |>
e_charts(x) |>
e_scatter_3d(y, z, size, color) |>
e_visual_map(
min = 1,
max = 100,
inRange = list(symbolSize = c(1, 30)),
# scale size
dimension = 3 # third dimension 0 = x, y = 1, z = 2, size = 3
) |>
e_visual_map(
min = 1,
max = 100,
inRange = list(color = c("#bf444c", "#d88273", "#f6efa6")),
# scale colors
dimension = 4,
# third dimension 0 = x, y = 1, z = 2, size = 3, color = 4
bottom = 300 # padding to avoid visual maps overlap
)
airports <- read.csv(
paste0(
"https://raw.githubusercontent.com/plotly/datasets/",
"master/2011_february_us_airport_traffic.csv"
)
)
airports |>
e_charts(long) |>
e_globe(
globeOuterRadius = 100
) |>
e_scatter_3d(lat, cnt, coord_system = "globe", blendMode = "lighter") |>
e_visual_map(inRange = list(symbolSize = c(1, 10)))
# timeline
airports |>
group_by(state) |>
e_charts(long, timeline = TRUE) |>
e_globe(
globeOuterRadius = 100
) |>
e_scatter_3d(lat, cnt, coord_system = "globe", blendMode = "lighter") |>
e_visual_map(inRange = list(symbolSize = c(1, 10)))
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