Quarto Document

Quarto enables you to weave together content and executable code into a finished document. To learn more about Quarto see https://quarto.org.

Workflow diagram

This diagram depicts a simple workflow showing the tidying and analysis of a data set with written findings reviewed by your peers.

stateDiagram-v2
  direction LR

  [*] --> tidy
  tidy --> analyze
  analyze --> tidy
  analyze --> write
  write --> review
  review --> write: feedback
  review --> accepted
  accepted --> [*]

Your personal workflow may be more complicated than this example, but thankfully, Quarto lets you include diagrams to help you communicate how you work!

Penguins

Quarto documents can incorporate interactive data exploration and analysis. One way of including these dynamic capabilities is by using Observable JS (OJS).

This is a simple example based on Allison Horst’s Palmer Penguins dataset. Here we look at how penguin body mass varies across both sex and species (use the provided inputs to filter the dataset by bill length and island):

// https://observablehq.com/@observablehq/sample-datasets
// https://allisonhorst.github.io/palmerpenguins/
filtered = penguins.filter(function(penguin) {
  return bill_length_min < penguin.culmen_length_mm &&
         islands.includes(penguin.island);
})

viewof bill_length_min = Inputs.range(
  [32, 50], 
  {value: 35, step: 1, label: "Bill length (min):"}
)
viewof islands = Inputs.checkbox(
  ["Torgersen", "Biscoe", "Dream"], 
  { value: ["Torgersen", "Biscoe"], 
    label: "Islands:"
  }
)

Plot

Plot.rectY(filtered, 
  Plot.binX(
    {y: "count"}, 
    {x: "body_mass_g", fill: "species", thresholds: 20}
  ))
  .plot({
    facet: {
      data: filtered,
      x: "sex",
      y: "species",
      marginRight: 80
    },
    marks: [
      Plot.frame(),
    ]
  }
)

Data

Inputs.table(filtered)