London Lives Petitioners: gender of petitioners, 1690-1799

// try direct import instead of r
data = FileAttachment("data/llpp_petrs_year_gender_nopar_v1-2.tsv").tsv({typed: true})

Plot.plot({
  width: width,
  height: 600,
  marginBottom: 60,
  x: {tickRotate: 90, tickFormat: d3.format('d')},
  y: { percent: true },
  color: {legend: true,
            domain: ["male", "female"],
            range: ["#b24747", "#47b2b2"]
  },
  marks: [
    Plot.barY(data, {
      x: "year",
      y: "petitioners",
      fill: "gender",
      order: "gender", // i think this fixes the random problem.
      offset: "normalize",
      tip: true, // need to format year again
      tip: {
        format: {
          x: (d) => `${d}`
        }
      }
      //sort: {y: "x"}
    }),
    //Plot.ruleX([0])
  ]
})

//"#b24747", "#d35400", 1), // orange
//"#47b2b2", "#16a085", 1), // turquoise

// problem that ptype were randomly ordered!
// could fix it by uncounting the data in r and then using count in Plot. but dn't want that sort of faff
// order: option seems to fix it.

Notes

• parish petitions excluded
• 6226 identified petitioners (using London Lives names markup): 4909 male, 1317 female; 2 unknown gender excluded.
• Data: London Lives petitions project, v1.2
• Dataviz: Observable Plot (supersedes earlier versions in dimple.js)