Dot Plots in JavaScript

How to make D3.js-based dot plots in JavaScript. Example of a styled, categorical dot plot.

Building AI apps or dashboards with Plotly.js? Chart Studio enables 1-click export, editing and sharing of Plotly.js charts. If building a full-stack app with Plotly.js, you might save time by building with Dash instead. Schedule a Dash Enterprise demo.

New to Plotly?

Plotly is a free and open-source graphing library for JavaScript. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.

Categorical Dot Plot

var country = ['Switzerland (2011)', 'Chile (2013)', 'Japan (2014)', 'United States (2012)', 'Slovenia (2014)', 'Canada (2011)', 'Poland (2010)', 'Estonia (2015)', 'Luxembourg (2013)', 'Portugal (2011)'];

var votingPop = [40, 45.7, 52, 53.6, 54.1, 54.2, 54.5, 54.7, 55.1, 56.6];

var regVoters = [49.1, 42, 52.7, 84.3, 51.7, 61.1, 55.3, 64.2, 91.1, 58.9];

var trace1 = {
  type: 'scatter',
  x: votingPop,
  y: country,
  mode: 'markers',
  name: 'Percent of estimated voting age population',
  marker: {
    color: 'rgba(156, 165, 196, 0.95)',
    line: {
      color: 'rgba(156, 165, 196, 1.0)',
      width: 1,
    },
    symbol: 'circle',
    size: 16
  }
};

var trace2 = {
  x: regVoters,
  y: country,
  mode: 'markers',
  name: 'Percent of estimated registered voters',
  marker: {
    color: 'rgba(204, 204, 204, 0.95)',
    line: {
      color: 'rgba(217, 217, 217, 1.0)',
      width: 1,
    },
    symbol: 'circle',
    size: 16
  }
};

var data = [trace1, trace2];

var layout = {
  title: 'Votes cast for ten lowest voting age population in OECD countries',
  xaxis: {
    showgrid: false,
    showline: true,
    linecolor: 'rgb(102, 102, 102)',
    titlefont: {
      font: {
        color: 'rgb(204, 204, 204)'
      }
    },
    tickfont: {
      font: {
        color: 'rgb(102, 102, 102)'
      }
    },
    autotick: false,
    dtick: 10,
    ticks: 'outside',
    tickcolor: 'rgb(102, 102, 102)'
  },
  margin: {
    l: 140,
    r: 40,
    b: 50,
    t: 80
  },
  legend: {
    font: {
      size: 10,
    },
    yanchor: 'middle',
    xanchor: 'right'
  },
  width: 600,
  height: 600,
  paper_bgcolor: 'rgb(254, 247, 234)',
  plot_bgcolor: 'rgb(254, 247, 234)',
  hovermode: 'closest'
};

Plotly.newPlot('myDiv', data, layout);