Penguins

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):

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:"
  }
)

bill_length_min = 35

islands = Array(2) ["Torgersen", "Biscoe"]

Plot
Data

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(),
    ]
  }
)

Inputs.table(filtered)

species	island	bill_length_mm	bill_depth_mm	flipper_length_mm	body_mass_g	sex	year
Adelie	Torgersen	39.1	18.7	181	3,750	male	2,007
Adelie	Torgersen	39.5	17.4	186	3,800	female	2,007
Adelie	Torgersen	40.3	18	195	3,250	female	2,007
Adelie	Torgersen	36.7	19.3	193	3,450	female	2,007
Adelie	Torgersen	39.3	20.6	190	3,650	male	2,007
Adelie	Torgersen	38.9	17.8	181	3,625	female	2,007
Adelie	Torgersen	39.2	19.6	195	4,675	male	2,007
Adelie	Torgersen	42	20.2	190	4,250	NA	2,007
Adelie	Torgersen	37.8	17.1	186	3,300	NA	2,007
Adelie	Torgersen	37.8	17.3	180	3,700	NA	2,007
Adelie	Torgersen	41.1	17.6	182	3,200	female	2,007
Adelie	Torgersen	38.6	21.2	191	3,800	male	2,007
Adelie	Torgersen	36.6	17.8	185	3,700	female	2,007
Adelie	Torgersen	38.7	19	195	3,450	female	2,007
Adelie	Torgersen	42.5	20.7	197	4,500	male	2,007
Adelie	Torgersen	46	21.5	194	4,200	male	2,007
Adelie	Biscoe	37.8	18.3	174	3,400	female	2,007
Adelie	Biscoe	37.7	18.7	180	3,600	male	2,007
Adelie	Biscoe	35.9	19.2	189	3,800	female	2,007
Adelie	Biscoe	38.2	18.1	185	3,950	male	2,007
Adelie	Biscoe	38.8	17.2	180	3,800	male	2,007
Adelie	Biscoe	35.3	18.9	187	3,800	female	2,007
Adelie	Biscoe	40.6	18.6	183	3,550	male	2,007

data = FileAttachment("palmer-penguins.csv").csv({ typed: true })

data = Array(344) [Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, …]

filtered = data.filter(function(penguin) {
  return bill_length_min < penguin.bill_length_mm &&
         islands.includes(penguin.island);
})

filtered = Array(210) [Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, Object, …]