This program makes a line chart from data in the Data Canvas - Sense Your City API.
It updates to the latest data automatically every 5 minutes.
Based on Data Canvas Part 1 - Data
This program makes a line chart from data in the Data Canvas - Sense Your City API.
It updates to the latest data automatically every 5 minutes.
Based on Data Canvas Part 1 - Data
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <!-- Runs the main program found in main.js. --> | |
| <script data-main="main.js" src="//cdnjs.cloudflare.com/ajax/libs/require.js/2.1.14/require.js"></script> | |
| <!-- Configure paths for RequireJS modules. --> | |
| <script> | |
| requirejs.config({ | |
| paths: { | |
| d3: "http://d3js.org/d3.v3.min", | |
| jQuery: "//code.jquery.com/jquery-2.1.1.min", | |
| } | |
| }); | |
| </script> | |
| <!-- Include CSS that styles the visualization. --> | |
| <link rel="stylesheet" href="styles.css"> | |
| <title>Line Chart</title> | |
| </head> | |
| <body> | |
| <!-- The visualization will be injected into this div. --> | |
| <div id="container"></div> | |
| </body> | |
| </html> |
| // A reusable line chart module. | |
| // Draws from D3 line chart example http://bl.ocks.org/mbostock/3883245 | |
| // Curran Kelleher March 2015 | |
| define(["d3", "model"], function (d3, Model) { | |
| // The constructor function, accepting default values. | |
| return function LineChart(defaults) { | |
| // Create a Model instance for the line chart. | |
| // This will serve as the line chart's public API. | |
| var model = Model(defaults); | |
| // Create the SVG element from the container DOM element. | |
| model.when("container", function (container) { | |
| model.svg = d3.select(container).append('svg'); | |
| }); | |
| // Adjust the size of the SVG based on the `box` property. | |
| model.when(["svg", "box"], function (svg, box) { | |
| svg.attr("width", box.width).attr("height", box.height); | |
| }); | |
| // Create the SVG group that will contain the visualization. | |
| model.when("svg", function (svg) { | |
| model.g = svg.append("g"); | |
| }); | |
| // Adjust the translation of the group based on the margin. | |
| model.when(["g", "margin"], function (g, margin) { | |
| g.attr("transform", "translate(" + margin.left + "," + margin.top + ")"); | |
| }); | |
| // Create the title text element. | |
| model.when("g", function (g){ | |
| model.titleText = g.append("text").attr("class", "title-text"); | |
| }); | |
| // Center the title text when width changes. | |
| model.when(["titleText", "width"], function (titleText, width) { | |
| titleText.attr("x", width / 2); | |
| }); | |
| // Update the title text based on the `title` property. | |
| model.when(["titleText", "title"], function (titleText, title){ | |
| titleText.text(title); | |
| }); | |
| // Update the title text offset. | |
| model.when(["titleText", "titleOffset"], function (titleText, titleOffset){ | |
| titleText.attr("dy", titleOffset + "em"); | |
| }); | |
| // Compute the inner box from the outer box and margin. | |
| // See Margin Convention http://bl.ocks.org/mbostock/3019563 | |
| model.when(["box", "margin"], function (box, margin) { | |
| model.width = box.width - margin.left - margin.right; | |
| model.height = box.height - margin.top - margin.bottom; | |
| }); | |
| // Generate a function for getting the X value. | |
| model.when(["data", "xAttribute"], function (data, xAttribute) { | |
| model.getX = function (d) { return d[xAttribute]; }; | |
| }); | |
| // Compute the domain of the X attribute. | |
| model.when(["data", "getX"], function (data, getX) { | |
| model.xDomain = d3.extent(data, getX); | |
| }); | |
| // Compute the X scale. | |
| model.when(["data", "xDomain", "width"], function (data, xDomain, width) { | |
| model.xScale = d3.time.scale().domain(xDomain).range([0, width]); | |
| }); | |
| // Generate a function for getting the scaled X value. | |
| model.when(["data", "xScale", "getX"], function (data, xScale, getX) { | |
| model.getXScaled = function (d) { return xScale(getX(d)); }; | |
| }); | |
| // Set up the X axis. | |
| model.when("g", function (g) { | |
| model.xAxisG = g.append("g").attr("class", "x axis"); | |
| model.xAxisText = model.xAxisG.append("text").style("text-anchor", "middle"); | |
| }); | |
| // Move the X axis label based on its specified offset. | |
| model.when(["xAxisText", "xAxisLabelOffset"], function (xAxisText, xAxisLabelOffset){ | |
| xAxisText.attr("dy", xAxisLabelOffset + "em"); | |
| }); | |
| // Update the X axis transform when height changes. | |
| model.when(["xAxisG", "height"], function (xAxisG, height) { | |
| xAxisG.attr("transform", "translate(0," + height + ")"); | |
| }); | |
| // Center the X axis label when width changes. | |
| model.when(["xAxisText", "width"], function (xAxisText, width) { | |
| xAxisText.attr("x", width / 2); | |
| }); | |
| // Update the X axis based on the X scale. | |
| model.when(["xAxisG", "xScale"], function (xAxisG, xScale) { | |
| xAxisG.call(d3.svg.axis().orient("bottom").scale(xScale)); | |
| }); | |
| // Update X axis label. | |
| model.when(["xAxisText", "xAxisLabel"], function (xAxisText, xAxisLabel) { | |
| xAxisText.text(xAxisLabel); | |
| }); | |
| // Generate a function for getting the Y value. | |
| model.when(["data", "yAttribute"], function (data, yAttribute) { | |
| model.getY = function (d) { return d[yAttribute]; }; | |
| }); | |
| // Compute the domain of the Y attribute. | |
| model.when(["data", "getY"], function (data, getY) { | |
| model.yDomain = d3.extent(data, getY); | |
| }); | |
| // Compute the Y scale. | |
| model.when(["data", "yDomain", "height"], function (data, yDomain, height) { | |
| model.yScale = d3.scale.linear().domain(yDomain).range([height, 0]); | |
| }); | |
| // Generate a function for getting the scaled Y value. | |
| model.when(["data", "yScale", "getY"], function (data, yScale, getY) { | |
| model.getYScaled = function (d) { return yScale(getY(d)); }; | |
| }); | |
| // Set up the Y axis. | |
| model.when("g", function (g) { | |
| model.yAxisG = g.append("g").attr("class", "y axis"); | |
| model.yAxisText = model.yAxisG.append("text") | |
| .style("text-anchor", "middle") | |
| .attr("transform", "rotate(-90)") | |
| .attr("y", 0); | |
| }); | |
| // Move the Y axis label based on its specified offset. | |
| model.when(["yAxisText", "yAxisLabelOffset"], function (yAxisText, yAxisLabelOffset){ | |
| yAxisText.attr("dy", "-" + yAxisLabelOffset + "em") | |
| }); | |
| // Center the Y axis label when height changes. | |
| model.when(["yAxisText", "height"], function (yAxisText, height) { | |
| yAxisText.attr("x", -height / 2); | |
| }); | |
| // Update Y axis label. | |
| model.when(["yAxisText", "yAxisLabel"], function (yAxisText, yAxisLabel) { | |
| yAxisText.text(yAxisLabel); | |
| }); | |
| // Update the Y axis based on the Y scale. | |
| model.when(["yAxisG", "yScale"], function (yAxisG, yScale) { | |
| yAxisG.call(d3.svg.axis().orient("left").scale(yScale)); | |
| }); | |
| // Adjust Y axis tick mark parameters. | |
| // See https://github.com/mbostock/d3/wiki/Quantitative-Scales#linear_tickFormat | |
| model.when(['yAxisNumTicks', 'yAxisTickFormat'], function (count, format) { | |
| yAxis.ticks(count, format); | |
| }); | |
| // Add an SVG group to contain the line. | |
| model.when("g", function (g) { | |
| model.lineG = g.append("g"); | |
| }); | |
| // Generate an SVG path element that will hold the line. | |
| model.when("lineG", function (lineG) { | |
| model.linePath = lineG.append('path').attr('class', 'line'); | |
| }); | |
| // Draw the line. | |
| model.when(["linePath", "data", "getXScaled", "getYScaled"], function (linePath, data, getXScaled, getYScaled){ | |
| linePath.attr('d', d3.svg.line().x(getXScaled).y(getYScaled)(data)); | |
| }); | |
| return model; | |
| }; | |
| }); |
| // This is the main program that sets up a line chart | |
| // to visualize data from the Data Canvas - Sense Your City API. | |
| // | |
| // Curran Kelleher March 2015 | |
| require(["jQuery", "lineChart"], function (jQuery, LineChart) { | |
| // Initialize the line chart. | |
| var lineChart = LineChart({ | |
| title: "Geneva", | |
| xAttribute: "date", | |
| xAxisLabel: "Time", | |
| yAttribute: "temperature", | |
| yAxisLabel: "Temperature (°C)", | |
| // Tell the chart which DOM element to insert itself into. | |
| container: d3.select("#container").node(), | |
| // Specify the margin and text label offsets. | |
| margin: { | |
| top: 50, | |
| right: 20, | |
| bottom: 50, | |
| left: 70 | |
| }, | |
| yAxisLabelOffset: 1.4, // Unit is CSS "em"s | |
| xAxisLabelOffset: 1.6, | |
| titleOffset: -0.2 | |
| }); | |
| // See API documentation at http://map.datacanvas.org/#!/data | |
| var API_URL = "http://sensor-api.localdata.com/api/v1/aggregations.csv"; | |
| function getLatestData(){ | |
| // Use jQuery to fetch the data. | |
| // jQuery is used here rather than D3 because of its nice parameter syntax. | |
| $.get(API_URL, { | |
| // Use averaging as the aggregation operator. | |
| op: "mean", | |
| // Include temperature only. | |
| fields: "temperature", //,light,airquality_raw,sound,humidity,dust", | |
| // Get data for every 5 minutes. | |
| resolution: "5m", | |
| // Average over all sensors in Geneva. | |
| "over.city": "Geneva", | |
| // Get data for the last 24 hours. | |
| // 1000 milliseconds/second, 60 seconds/minute, 60 minutes/hour, 24 hours/day | |
| from: new Date(Date.now() - 1000 * 60 * 60 * 24).toISOString(), | |
| before: new Date().toISOString() | |
| }, function(csv) { | |
| // Parse the CSV string. | |
| var data = d3.csv.parse(csv, function(d){ | |
| // Parse ISO date strings into Date objects. | |
| d.date = new Date(d.timestamp); | |
| // Parse strings into Numbers for numeric fields. | |
| d.temperature = +d.temperature; | |
| d.light = +d.light | |
| d.airquality_raw = +d.airquality_raw | |
| d.sound = +d.sound | |
| d.humidity = +d.humidity | |
| d.dust = +d.dust | |
| return d; | |
| }); | |
| // Pass the data into the line chart. | |
| lineChart.data = data; | |
| }); | |
| } | |
| // Initialize the data. | |
| getLatestData(); | |
| // Update the data every 5 minutes. | |
| setInterval(getLatestData, 1000 * 60 * 5); | |
| // Sets the `box` model property | |
| // based on the size of the container, | |
| function computeBox(){ | |
| lineChart.box = { | |
| width: container.clientWidth, | |
| height: container.clientHeight | |
| }; | |
| } | |
| // once to initialize `model.box`, and | |
| computeBox(); | |
| // whenever the browser window resizes in the future. | |
| window.addEventListener("resize", computeBox); | |
| }); |
| // Implements key-value models with a functional reactive `when` operator. | |
| // See also https://github.com/curran/model | |
| define([], function (){ | |
| // The constructor function, accepting default values. | |
| return function Model(defaults){ | |
| // The returned public API object. | |
| var model = {}, | |
| // The internal stored values for tracked properties. { property -> value } | |
| values = {}, | |
| // The listeners for each tracked property. { property -> [callback] } | |
| listeners = {}, | |
| // The set of tracked properties. { property -> true } | |
| trackedProperties = {}; | |
| // The functional reactive "when" operator. | |
| // | |
| // * `properties` An array of property names (can also be a single property string). | |
| // * `callback` A callback function that is called: | |
| // * with property values as arguments, ordered corresponding to the properties array, | |
| // * only if all specified properties have values, | |
| // * once for initialization, | |
| // * whenever one or more specified properties change, | |
| // * on the next tick of the JavaScript event loop after properties change, | |
| // * only once as a result of one or more synchronous changes to dependency properties. | |
| function when(properties, callback){ | |
| // This function will trigger the callback to be invoked. | |
| var triggerCallback = debounce(function (){ | |
| var args = properties.map(function(property){ | |
| return values[property]; | |
| }); | |
| if(allAreDefined(args)){ | |
| callback.apply(null, args); | |
| } | |
| }); | |
| // Handle either an array or a single string. | |
| properties = (properties instanceof Array) ? properties : [properties]; | |
| // Trigger the callback once for initialization. | |
| triggerCallback(); | |
| // Trigger the callback whenever specified properties change. | |
| properties.forEach(function(property){ | |
| on(property, triggerCallback); | |
| }); | |
| } | |
| // Returns a debounced version of the given function. | |
| // See http://underscorejs.org/#debounce | |
| function debounce(callback){ | |
| var queued = false; | |
| return function () { | |
| if(!queued){ | |
| queued = true; | |
| setTimeout(function () { | |
| queued = false; | |
| callback(); | |
| }, 0); | |
| } | |
| }; | |
| } | |
| // Returns true if all elements of the given array are defined, false otherwise. | |
| function allAreDefined(arr){ | |
| return !arr.some(function (d) { | |
| return typeof d === 'undefined' || d === null; | |
| }); | |
| } | |
| // Adds a change listener for a given property with Backbone-like behavior. | |
| // See http://backbonejs.org/#Events-on | |
| function on(property, callback){ | |
| getListeners(property).push(callback); | |
| track(property); | |
| }; | |
| // Gets or creates the array of listener functions for a given property. | |
| function getListeners(property){ | |
| return listeners[property] || (listeners[property] = []); | |
| } | |
| // Tracks a property if it is not already tracked. | |
| function track(property){ | |
| if(!(property in trackedProperties)){ | |
| trackedProperties[property] = true; | |
| values[property] = model[property]; | |
| Object.defineProperty(model, property, { | |
| get: function () { return values[property]; }, | |
| set: function(value) { | |
| values[property] = value; | |
| getListeners(property).forEach(function(callback){ | |
| callback(value); | |
| }); | |
| } | |
| }); | |
| } | |
| } | |
| // Sets all of the given values on the model. | |
| // Values is an object { property -> value }. | |
| function set(values){ | |
| for(property in values){ | |
| model[property] = values[property]; | |
| } | |
| } | |
| // Transfer defaults passed into the constructor to the model. | |
| set(defaults); | |
| // Expose the public API. | |
| model.when = when; | |
| model.on = on; | |
| model.set = set | |
| return model; | |
| } | |
| }); |
| /* Make the visualization container fill the page. */ | |
| #container { | |
| position: fixed; | |
| left: 0px; | |
| right: 0px; | |
| top: 0px; | |
| bottom: 0px; | |
| } | |
| /* Style the visualization. Draws from http://bl.ocks.org/mbostock/3887118 */ | |
| /* Tick mark labels */ | |
| .axis .tick text { | |
| font: 12pt sans-serif; | |
| } | |
| /* Axis labels */ | |
| .axis text { | |
| font: 20pt sans-serif; | |
| } | |
| .axis path, | |
| .axis line { | |
| fill: none; | |
| stroke: #000; | |
| shape-rendering: crispEdges; | |
| } | |
| .line { | |
| fill: none; | |
| stroke: black; | |
| stroke-width: 1.5px; | |
| } | |
| .title-text { | |
| text-anchor: middle; | |
| font: 30pt sans-serif; | |
| } |