This presentation was created on September 6, 2026.

The following slides demonstrate an interactive plot created using the plotly package in R.

For this example, the built-in mtcars dataset is used.

data(mtcars)

head(mtcars)

##                    mpg cyl disp  hp drat    wt  qsec vs am gear carb
## Mazda RX4         21.0   6  160 110 3.90 2.620 16.46  0  1    4    4
## Mazda RX4 Wag     21.0   6  160 110 3.90 2.875 17.02  0  1    4    4
## Datsun 710        22.8   4  108  93 3.85 2.320 18.61  1  1    4    1
## Hornet 4 Drive    21.4   6  258 110 3.08 3.215 19.44  1  0    3    1
## Hornet Sportabout 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2
## Valiant           18.1   6  225 105 2.76 3.460 20.22  1  0    3    1

library(plotly)

p <- plot_ly(
  data = mtcars,
  x = ~wt,
  y = ~mpg,
  type = "scatter",
  mode = "markers",
  text = ~paste(
    "Car:", rownames(mtcars),
    "<br>Weight:", wt,
    "<br>MPG:", mpg
  ),
  hoverinfo = "text"
)

p <- layout(
  p,
  title = "Relationship Between Car Weight and MPG",
  xaxis = list(title = "Weight (1000 lbs)"),
  yaxis = list(title = "Miles per Gallon")
)

p

The interactive Plotly figure shows the relationship between vehicle weight and fuel efficiency.

Users can move the mouse over individual points to view information for each vehicle.