D3 Examples - Histogram of Trump Tweets

Histogram of Trump Tweets

This chart shows a histogram of a tweets by Donald Trump from the period of 2016-10-05 to 2017-01-06. Tweets were scraped from Twitter using Twitter-Screen-Scrape. No retweets are included in this data.

The values are binned at regular intervals using D3’s histogram layout. The x-axis uses a linear scale, such that the tick values appear between bars; this provides better indication that each bar represents the count of values between its surrounding tick values.

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<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
    font-family: sans-serif;
  color: #333;
}
  
  h3, p {
    margin: 0; padding: 0;
  }
​
.bar rect {
  fill: steelblue;
}
​
.bar text {
  fill: #fff;
  font: 10px sans-serif;
}
​
</style>
<div class="title"></div>
<svg width="960" height="500"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
  
function toDateObj(timestamp) {
  return new Date(timestamp * 1000);
}
  
function getHour(timestamp) {
  var date = new Date(timestamp * 1000);
  return date.getHours();
}
  
d3.json('trump-tweets.json', function(err, data) {
  if (err) throw err;
  
  var minDate = d3.min(data, function(d) {
        return toDateObj(d.time);
      }),
        maxDate = d3.max(data, function(d) {
        return toDateObj(d.time);              
      }),
      timeFormat = d3.timeFormat('%A, %B %e, %Y');
  
  var title = d3.select('.title');
  title.append('h3')
    .text('Frequency of @realDonaldTrump\'s tweets by time of day');
  title.append('p')
    .text('From ' + timeFormat(minDate) + ' to ' + timeFormat(maxDate));
​
  var formatCount = d3.format(",.0f");
​
  var svg = d3.select("svg"),
      margin = {top: 10, right: 30, bottom: 30, left: 30},
      width = +svg.attr("width") - margin.left - margin.right,
      height = +svg.attr("height") - margin.top - margin.bottom,
      g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
​
  var x = d3.scaleLinear()
        .domain([0, 23])
      .rangeRound([0, width]);
​
  var bins = d3.histogram()
      .domain(x.domain())
      .thresholds(x.ticks(24))
        .value(function(d) {
        return getHour(d.time);
      })
      (data);
  
  var y = d3.scaleLinear()
      .domain([0, d3.max(bins, function(d) { return d.length; })])
      .range([height, 0]);
  
  var xAxis = d3.axisBottom(x)
        .tickFormat(function(d) {
        return d === 0? '12am' :
                 d < 12 ? d + 'am' : 
                     d === 12 ? '12pm' :
                     d > 12 ? (d - 12) + 'pm' : 
                     '';
      });
​
  var bar = g.selectAll(".bar")
    .data(bins)
    .enter().append("g")
      .attr("class", "bar")
      .attr("transform", function(d) { return "translate(" + x(d.x0) + "," + y(d.length) + ")"; });
​
  bar.append("rect")
      .attr("x", 1)
      .attr("width", x(bins[0].x1) - x(bins[0].x0) - 1)
      .attr("height", function(d) { return height - y(d.length); });
​
  bar.append("text")
      .attr("dy", ".75em")
      .attr("y", 6)
      .attr("x", (x(bins[0].x1) - x(bins[0].x0)) / 2)
      .attr("text-anchor", "middle")
      .text(function(d) { return formatCount(d.length); });
​
  g.append("g")
      .attr("class", "axis axis--x")
      .attr("transform", "translate(0," + height + ")")
      .call(xAxis);
});
​
</script>
​
    