# Load necessary libraries
library(tidyverse)
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## ✔ ggplot2 3.5.0 ✔ tibble 3.2.1
## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0
## ✔ purrr 1.0.2
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## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(plotly)
##
## Attaching package: 'plotly'
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## The following object is masked from 'package:ggplot2':
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## last_plot
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## The following object is masked from 'package:stats':
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## filter
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## layout
# Load the iris dataset
data(iris)
# Create a 3D scatter plot with plotly
plot_ly(
iris,
x = ~Sepal.Length,
y = ~Sepal.Width,
z = ~Petal.Length,
color = ~Species,
size = ~Petal.Width,
type = "scatter3d",
mode = "markers"
) %>%
layout(
scene = list(
xaxis = list(title = "Sepal Length"),
yaxis = list(title = "Sepal Width"),
zaxis = list(title = "Petal Length")
),
title = "3D Scatter Plot of Iris Dataset",
showlegend = TRUE
)
## Warning: `line.width` does not currently support multiple values.
## Warning: `line.width` does not currently support multiple values.
## Warning: `line.width` does not currently support multiple values.