hpai-bsc.github.io/ertos_by_time.html at master · HPAI-BSC/hpai-bsc.github.io · GitHub

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<!DOCTYPE html>
<html lang="en">

<!--
  Template of the data visualization (line chart) in d3.js from CSV data file
  Reference: Brush & Zoom line chart - bl.ocks.org: https://bl.ocks.org/EfratVil/92f894ac0ba265192411e73f633a3e2f
 -->

<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>COVID-19 Data Visualization</title>
  <link href="https://fonts.googleapis.com/css2?family=Montserrat:wght@500;700&display=swap" rel="stylesheet">
  <style>
    :root {
      --main-bg-color: #F3F3F4;
      --text-color: #323A56;
      --yellow: #D4B158;
      --red: #D25A5E;
      --blue: #1C558C;
      --green: #7FC0BA;
    }

    html,
    body {
      height: 100%;
      margin: 0;
    }

    body,
    text {
      font-family: 'Montserrat', sans-serif;
      color: var(--text-color);
      text-transform: uppercase;
    }

    .centered-graph {
      display: flex;
      align-items: center;
      height: 100%;
    }

    div {
      flex: auto;
    }

     .line {
        fill: none;
        stroke: steelblue;
        stroke-width: 2px;
    }
    .zoom {
      cursor: move;
      fill: none;
      pointer-events: all;
    }

  </style>
</head>

<body>
  <div id='graph' class="centered-graph">
      <svg width="800" height="480" viewBox="0 0 800 480" preserveAspectRatio="xMidYMid meet"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>

const svg = d3.select("svg"),
    margin = {top: 20, right: 20, bottom: 110, left: 100},
    margin2 = {top: 430, right: 20, bottom: 30, left: 100},
    width = +svg.attr("width") - margin.left - margin.right,
    height = +svg.attr("height") - margin.top - margin.bottom,
    height2 = +svg.attr("height") - margin2.top - margin2.bottom;

const parseTime = d3.timeParse("%Y-%m-%d");

const x = d3.scaleTime().range([0, width]),
    x2 = d3.scaleTime().range([0, width]),
    y = d3.scaleLinear().range([height, 0]),
    y2 = d3.scaleLinear().range([height2, 0]);

const xAxis = d3.axisBottom(x),
    xAxis2 = d3.axisBottom(x2),
    yAxis = d3.axisLeft(y);

const brush = d3.brushX()
    .extent([[0, 0], [width, height2]])
    .on("brush end", brushed);

const zoom = d3.zoom()
    .scaleExtent([1, Infinity])
    .translateExtent([[0, 0], [width, height]])
    .extent([[0, 0], [width, height]])
    .on("zoom", zoomed);

const line = d3.line()
    .x(function (d) {
        return x(d.data);
    })
    .y(function (d) {
        return y(d.n_mero_d_afectats);
    });

const line2 = d3.line()
    .x(function (d) {
        return x2(d.data);
    })
    .y(function (d) {
        return y2(d.n_mero_d_afectats);
    });


const Line_chart = svg.append("g")
    .attr("class", "focus")
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")")
    .attr("clip-path", "url(#clip)");


const focus = svg.append("g")
    .attr("class", "focus")
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

const context = svg.append("g")
    .attr("class", "context")
    .attr("transform", "translate(" + margin2.left + "," + margin2.top + ")");


/* Upload a data CSV file "data.csv" to your public GitHub repository.
   Then, make sure that your uploaded file exists by accessing the following URL in your browser.
   https://github.com/USERNAME/REPOSITORY/blob/master/data.csv

   The CSV file must have two columns: "data" and "n_mero_d_afectats".
   data: Timestamp formatted such as "2020-03-21 21:33:54"
   n_mero_d_afectats: numerical n_mero_d_afectats

   Note: The direct public link of the CSV file is shown below, not the above (for browser).
*/
d3.csv("https://raw.githubusercontent.com/HPAI-BSC/hpai-bsc.github.io/master/csv_charts/ertos_by_time.csv",
    dataType, function (error, data) {
    if (error) throw error;

  x.domain(d3.extent(data, function(d) { return d.data; }));
  y.domain([0, d3.max(data, function (d) { return d.n_mero_d_afectats; })]);
  x2.domain(x.domain());
  y2.domain(y.domain());

    focus.append("g")
        .attr("class", "axis axis--x")
        .attr("transform", "translate(0," + height + ")")
        .call(xAxis);

    focus.append("g")
        .attr("class", "axis axis--y")
        .call(yAxis);

    Line_chart.append("path")
        .datum(data)
        .attr("class", "line")
        .attr("d", line);

    context.append("path")
        .datum(data)
        .attr("class", "line")
        .attr("d", line2);;


  context.append("g")
      .attr("class", "axis axis--x")
      .attr("transform", "translate(0," + height2 + ")")
      .call(xAxis2);

  context.append("g")
      .attr("class", "brush")
      .call(brush)
      .call(brush.move, x.range());

  svg.append("rect")
      .attr("class", "zoom")
      .attr("width", width)
      .attr("height", height)
      .attr("transform", "translate(" + margin.left + "," + margin.top + ")")
      .call(zoom);


  console.log(data);
});


function brushed() {
  if (d3.event.sourceEvent && d3.event.sourceEvent.type === "zoom") return; // ignore brush-by-zoom
    const s = d3.event.selection || x2.range();
    x.domain(s.map(x2.invert, x2));
  Line_chart.select(".line").attr("d", line);
  focus.select(".axis--x").call(xAxis);
  svg.select(".zoom").call(zoom.transform, d3.zoomIdentity
      .scale(width / (s[1] - s[0]))
      .translate(-s[0], 0));
}

function zoomed() {
  if (d3.event.sourceEvent && d3.event.sourceEvent.type === "brush") return; // ignore zoom-by-brush
    const t = d3.event.transform;
    x.domain(t.rescaleX(x2).domain());
  Line_chart.select(".line").attr("d", line);
  focus.select(".axis--x").call(xAxis);
  context.select(".brush").call(brush.move, x.range().map(t.invertX, t));
}

function dataType(d) {
    d.data= parseTime(d.data);
    d.n_mero_d_afectats = +d.n_mero_d_afectats;
    return d;
}

</script>

  </div>

</body>

</html>