2015-07-30-3d-scatter-plots.Rmd

---
description: How to make interactive 3D scatter plots in R.
display_as: 3d_charts
language: r
layout: base
name: 3D Scatter Plots
order: 1
output:
  html_document:
    keep_md: true
page_type: example_index
permalink: r/3d-scatter-plots/
thumbnail: thumbnail/3d-scatter.jpg
---

```{r, echo = FALSE, message=FALSE}
knitr::opts_chunk$set(message = FALSE, warning=FALSE)
```
#### Basic 3D Scatter Plot

```{r}
library(plotly)

mtcars$am[which(mtcars$am == 0)] <- 'Automatic'
mtcars$am[which(mtcars$am == 1)] <- 'Manual'
mtcars$am <- as.factor(mtcars$am)

fig <- plot_ly(mtcars, x = ~wt, y = ~hp, z = ~qsec, color = ~am, colors = c('#BF382A', '#0C4B8E'))
fig <- fig %>% add_markers()
fig <- fig %>% layout(scene = list(xaxis = list(title = 'Weight'),
			         yaxis = list(title = 'Gross horsepower'),
			         zaxis = list(title = '1/4 mile time')))

fig
```

#### 3D Scatter Plot with Color Scaling

```{r}
library(plotly)

fig <- plot_ly(mtcars, x = ~wt, y = ~hp, z = ~qsec,
               color = ~mpg,
               colors = c('#FFE1A1', '#683531'))
fig <- fig %>% add_markers()
fig <- fig %>% layout(scene = list(xaxis = list(title = 'Weight'),
                                   yaxis = list(title = 'Gross horsepower'),
                                   zaxis = list(title = '1/4 mile time')),
                      annotations = list(
                        x = 1.13,
                        y = 1.05,
                        text = 'Miles/(US) gallon',
                        xref = 'paper',
                        yref = 'paper',
                        showarrow = FALSE
                      ))
fig
```

#### 3D Bubble Plot

```{r}
library(plotly)

data <- read.csv("https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv")

data_2007 <- data[which(data$year == 2007),]
data_2007 <- data_2007[order(data_2007$continent, data_2007$country),]
data_2007$size <- data_2007$pop
colors <- c('#4AC6B7', '#1972A4', '#965F8A', '#FF7070', '#C61951')

fig <- plot_ly(data_2007, x = ~gdpPercap, y = ~lifeExp, z = ~pop, color = ~continent, size = ~size, colors = colors,
             marker = list(symbol = 'circle', sizemode = 'diameter'), sizes = c(5, 150),
             text = ~paste('Country:', country, '<br>Life Expectancy:', lifeExp, '<br>GDP:', gdpPercap,
                           '<br>Pop.:', pop))
fig <- fig %>% layout(title = 'Life Expectancy v. Per Capita GDP, 2007',
         scene = list(xaxis = list(title = 'GDP per capita (2000 dollars)',
                      gridcolor = 'rgb(255, 255, 255)',
                      range = c(2.003297660701705, 5.191505530708712),
                      type = 'log',
                      zerolinewidth = 1,
                      ticklen = 5,
                      gridwidth = 2),
               yaxis = list(title = 'Life Expectancy (years)',
                      gridcolor = 'rgb(255, 255, 255)',
                      range = c(36.12621671352166, 91.72921793264332),
                      zerolinewidth = 1,
                      ticklen = 5,
                      gridwith = 2),
               zaxis = list(title = 'Population',
                            gridcolor = 'rgb(255, 255, 255)',
                            type = 'log',
                            zerolinewidth = 1,
                            ticklen = 5,
                            gridwith = 2)),
         paper_bgcolor = 'rgb(243, 243, 243)',
         plot_bgcolor = 'rgb(243, 243, 243)')

fig
```

#Reference

See [https://plotly.com/r/reference/#scatter3d](https://plotly.com/r/reference/#scatter3d) for more information and chart attribute options!