Focus + Context Area Charts

README.md

Focus + Context Area Charts using Chiasm.

Draws from

• Focus + Context Scatter Plots
• Focus+Context via Brushing

areaChart.js

function AreaChart() {

  var my = ChiasmComponent({

    margin: {
      left:   20,
      top:    20,
      right:  20,
      bottom: 20
    },
    
    xColumn: Model.None,
    yColumn: Model.None,

    xScaleDomain: Model.None,
    yScaleDomain: Model.None,

    fill: "black",
    stroke: "none",
    strokeWidth: "1px",

    backgroundColor: "lightgray",
    border: "black",

    brushEnabled: false,
    brushIntervalX: Model.None

  });

  var xScale = d3.time.scale();
  var yScale = d3.scale.linear();

  var brush = d3.svg.brush()
    .x(xScale)
    .on("brush", onBrush);

  var svg = d3.select(my.initSVG());

  var clipRect = svg
    .append("clipPath")
      .attr("id", "clip")
    .append("rect");

  var g = svg.append("g");

  var borderRect = g.append("rect")
    .style("stroke-width", 2);

  var areaG = g.append("g")
    .style("clip-path", "url(#clip)");

  var path = areaG.append("path");

  var area = d3.svg.area()
    .interpolate("monotone");

  var brushG = g.append("g")
    .attr("class", "brush");

  my.when("backgroundColor", function (backgroundColor){
    borderRect.style("fill", backgroundColor);
  });

  my.when("border", function (border){
    borderRect.style("stroke", border)
  });
  
  // Respond to changes in size and margin.
  // Inspired by D3 margin convention from http://bl.ocks.org/mbostock/3019563
  my.when(["box", "margin"], function(box, margin){

    my.innerBox = {
      width: box.width - margin.left - margin.right,
      height: box.height - margin.top - margin.bottom
    };

    g.attr("transform", "translate(" + margin.left + "," + margin.top + ")");

  });

  my.when(["innerBox"], function (innerBox){
    borderRect
      .attr("width",  innerBox.width)
      .attr("height", innerBox.height);
    clipRect
      .attr("width",  innerBox.width)
      .attr("height", innerBox.height);
  });

  my.when(["data", "innerBox", "xColumn", "xScaleDomain"],
      function (data, innerBox, xColumn, xScaleDomain){
    if(xColumn !== Model.None){
      xScale.range([0, innerBox.width]);

      if(xScaleDomain !== Model.None){
        xScale.domain(parseDates(xScaleDomain));
      } else {
        xScale.domain(d3.extent(data, function (d){ return d[xColumn]; }));
      }

      my.x = function (d){ return xScale(d[xColumn]); };
    }
  });

  my.when(["data", "innerBox", "yColumn", "yScaleDomain"],
      function (data, innerBox, yColumn, yScaleDomain){
    if(yColumn !== Model.None){

      if(yScaleDomain !== Model.None){
        yScale.domain(yScaleDomain);
      } else {
        yScale.domain([0, d3.max(data, function (d){ return d[yColumn]; })]);
      }

      yScale.range([innerBox.height, 0]);

      my.y = function (d){ return yScale(d[yColumn]); };
    }
  });

  my.when([ "data", "x", "y", "innerBox", "fill", "stroke", "strokeWidth" ],
      function (data, x, y, innerBox, fill, stroke, strokeWidth){
      
    area
      .x(x)
      .y0(innerBox.height)
      .y1(y)

    path
      .datum(data)
      .attr("d", area)
      .attr("fill", fill)
      .attr("stroke", stroke)
      .attr("stroke-width", strokeWidth);
  });

  my.when("brushEnabled", function (brushEnabled){
    brushG.remove();
    if(brushEnabled){
      g.node().appendChild(brushG.node());
    }
  });

  function onBrush() {
    my.brushIntervalX = brush.empty() ? Model.None : brush.extent();
  }

  function parseDates(dates){
    return dates.map(function (date){
      if(typeof date === Date){
        return date;
      } else {
        return new Date(date);
      }
    });
  }

  my.when(["brushIntervalX", "innerBox", "x", "y"],
      function (brushIntervalX, innerBox){

    if(brushIntervalX !== Model.None){

      brush.extent(parseDates(brushIntervalX));

      // Uncomment this to see what the brush interval is as you drag.
      //console.log(brushIntervalX.map(function (date){
      //  return date.toUTCString();
      //}));
    }

    brushG.call(brush);

    brushG.selectAll("rect")
      .attr("y", 0)
      .attr("height", innerBox.height);
  });

  return my;
}

bridge.js

function Bridge() {

  var my = ChiasmComponent({

    margin: {
      left:   20,
      top:    0,
      right:  20,
      bottom: 0
    },
    
    xColumn: Model.None,
    yColumn: Model.None,

    xScaleDomain: Model.None,
    yScaleDomain: Model.None,

    stroke: "black",
    strokeWidth: "1px",

    brushIntervalX: Model.None

  });

  var xScale = d3.time.scale();
  var yScale = d3.scale.linear();

  var svg = d3.select(my.initSVG());

  var clipRect = svg
    .append("clipPath")
      .attr("id", "clip")
    .append("rect");

  var g = svg.append("g");

  var areaG = g.append("g")
    .style("clip-path", "url(#clip)");

  var path = areaG.append("path");

  var area = d3.svg.area()
    .interpolate("monotone");

  // Respond to changes in size and margin.
  // Inspired by D3 margin convention from http://bl.ocks.org/mbostock/3019563
  my.when(["box", "margin"], function(box, margin){

    my.innerBox = {
      width: box.width - margin.left - margin.right,
      height: box.height - margin.top - margin.bottom
    };

    g.attr("transform", "translate(" + margin.left + "," + margin.top + ")");

  });


  my.when(["data", "brushIntervalX", "innerBox", "xColumn", "xScaleDomain", "stroke", "strokeWidth"],
      function (data, brushIntervalX, innerBox, xColumn, xScaleDomain, stroke, strokeWidth){
    if(xColumn !== Model.None){
      var extent = d3.extent(data, function (d){ return d[xColumn]; });
      xScale.range([0, innerBox.width]);
      xScale.domain(extent);

      var linesData = [];

      if(brushIntervalX !== Model.None){
        brushIntervalX = parseDates(brushIntervalX);
        var w = innerBox.width;
        var h = innerBox.height;
        var linesData = [
          {
            x1: xScale(brushIntervalX[1]),
            y1: h,
            x2: w,
            y2: 0
          },
          {
            x1: xScale(brushIntervalX[0]),
            y1: h,
            x2: 0,
            y2: 0
          }
        ];
      }

      var lines = g.selectAll("line").data(linesData);
      lines.enter().append("line");
      lines
        .attr("x1", function (d) { return d.x1; })
        .attr("y1", function (d) { return d.y1; })
        .attr("x2", function (d) { return d.x2; })
        .attr("y2", function (d) { return d.y2; })
        .style("stroke-width", strokeWidth)
        .style("stroke", stroke);
      lines.exit().remove();
    }
  });

  function parseDates(dates){
    return dates.map(function (date){
      if(typeof date === Date){
        return date;
      } else {
        return new Date(date);
      }
    });
  }

  return my;
}

dataLoader.js

// A Chiasm plugin for loading DSV data sets.
function DataLoader (){

  var my = ChiasmComponent({
    path: Model.None
  });

  my.when("path", function (path){
    if(path !== Model.None){
      d3.json(path + ".json", function(error, schema) {

        var numericColumns = schema.columns.filter(function (column){
          return column.type === "number";
        });
        
        var dateColumns = schema.columns.filter(function (column){
          return column.type === "date";
        });

        var type = function (d){
          numericColumns.forEach(function (column){
            d[column.name] = +d[column.name];
          });
          dateColumns.forEach(function (column){
            d[column.name] = new Date(d[column.name]);
          });
          return d;
        }

        d3.csv(path + ".csv", type, function(error, data) {
          my.data = data;
        });
      });
    }
  });

  return my;
}

index.html

<!DOCTYPE html>
<html>
  <head>
    <meta charset="utf-8">
    <title>Focus + Context Scatter Plots</title>

    <!-- Chiasm depends on Lodash, D3.js, and Model.js. -->
    <script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/3.10.1/lodash.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js"></script>
    
    <!-- A functional reactive model library. github.com/curran/model -->
    <script src="http://curran.github.io/model/cdn/model-v0.2.4.js"></script>

    <!-- Chiasm core and plugins. github.com/chiasm-project -->
    <script src="http://chiasm-project.github.io/chiasm/chiasm-v0.2.0.js"></script>
    <script src="http://chiasm-project.github.io/chiasm-component/chiasm-component-v0.2.1.js"></script>
    <script src="http://chiasm-project.github.io/chiasm-layout/chiasm-layout-v0.2.2.js"></script>
    <script src="http://chiasm-project.github.io/chiasm-links/chiasm-links-v0.2.1.js"></script>

    <!-- Custom Chiasm components for this example. -->
    <script src="dataLoader.js"></script>
    <script src="areaChart.js"></script>
    <script src="bridge.js"></script>

    <!-- Make the Chiasm container fill the page and have a 20px black border. -->
    <style>

      body {
        background-color: black;
      }

      #chiasm-container {
        background-color: white;
        position: fixed;
        left: 20px;
        right: 20px;
        top: 20px;
        bottom: 20px;
      }

      /* Style the brush. Draws from http://bl.ocks.org/mbostock/4343214 */
      .brush .extent {
        stroke: black;
        fill-opacity: .2;
        shape-rendering: crispEdges;
      }

    </style>
  </head>
  <body>

    <!-- Chiasm component instances will be injected into this div. -->
    <div id="chiasm-container"></div>

    <script>

      // Create a new Chiasm instance.
      var chiasm = new Chiasm();

      // Register plugins that the configuration can access.
      chiasm.plugins.layout = ChiasmLayout;
      chiasm.plugins.links = ChiasmLinks;
      chiasm.plugins.dataLoader = DataLoader;
      chiasm.plugins.areaChart = AreaChart;
      chiasm.plugins.bridge = Bridge;

      // Set the Chaism configuration.
      chiasm.setConfig({
        "layout": {
          "plugin": "layout",
          "state": {
            "containerSelector": "#chiasm-container",
            "layout": {
              "orientation": "vertical",
              "children": [
                "focus",
                "bridge",
                "context"
              ]
            },
            "sizes": {
              "focus": {
                "size": 3
              },
              "bridge": {
                "size": "20px"
              }
            }
          }
        },
        "sp500": {
          "plugin": "dataLoader",
          "state": {
            "path": "sp500"
          }
        },
        "focus": {
          "plugin": "areaChart",
          "state": {
            "xColumn": "date",
            "yColumn": "price",
            "fill": "gray",
            "margin": {
              "left":   20,
              "top":    20,
              "right":  20,
              "bottom": 0
            }
          }
        },
        "context": {
          "plugin": "areaChart",
          "state": {
            "xColumn": "date",
            "yColumn": "price",
            "fill": "#aaaaaa",
            "backgroundColor": "white",
            "border": "none",
            "brushEnabled": true,
            "brushIntervalX": [
              "Sun, 30 Sep 2007 06:16:37 GMT",
              "Mon, 19 Jan 2009 10:19:25 GMT"
            ],
            "margin": {
              "left":   20,
              "top":    0,
              "right":  20,
              "bottom": 20
            }
          }
        },
        "bridge": {
          "plugin": "bridge",
          "state": {
            "xColumn": "date"
          }
        },
        "links": {
          "plugin": "links",
          "state": {
            "bindings": [
              "sp500.data -> focus.data",
              "sp500.data -> context.data",
              "sp500.data -> bridge.data",
              "context.brushIntervalX -> focus.xScaleDomain",
              "context.brushIntervalX -> bridge.brushIntervalX"
            ]
          }
        }
      });
    </script>
  </body>
</html>

LICENSE

The MIT License (MIT)

Copyright (c) 2015 Curran Kelleher

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

sp500.csv

sp500.json

{
  "columns": [
    {
      "name": "date",
      "type": "date"
    },
    {
      "name": "price",
      "type": "number"
    }
  ]
}

thumbnail.png