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<!DOCTYPE html>
<html>
<meta charset="utf-8">
<head>
<title>DudleyD3 - Sosolimited</title>
<link rel="stylesheet" type="text/css" href="css/style.css">
</head>
<body>
<div class="wrapper">
<div id="game_title"><h1>Dudley D3 Dashboard</h1></div>
<div class="main_container"></div>
</div>
<script src="js/jquery-1.11.1.min.js"></script>
<script src="js/d3.min.js"></script>
<script src="js/common.js"></script>
<script src="js/OpenLayers.js"></script> <!-- Used for calculating if a lat/long point is within a geojson polygon, ie. to determine what neighborhood a request made in. -->
<script type="text/javascript" charset="utf-8">
// - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - General - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
var charts = [];
var counts = null; // Stores the count of number of requests per neighborhood. Because it is memory intensive (takes about 6 seconds) we want to do it only once and store as a global var.
var allRequestTypes;
var charts_data = [
["data/dudley-june23-750results-manuallycollated.json", "location/animation", "Request locations animated : 750 items (~6 days)", 950, 950],
["data/dudley-june23-750results-manuallycollated.json", "location/map/circles", "Request neighborhoods, circles : 750 items (~6 days)", 950, 700],
["data/dudley-june23-750results-manuallycollated.json", "location/map/choropleth", "Request neighborhoods, choropleth: 750 items (~6 days)", 950, 700],
["data/dudley-june23-750results-manuallycollated.json", "activity/hour/stacked", "Requests per hour, stacked : 750 items (~6 days)", 950, 400],
["data/dudley-june23-750results-manuallycollated.json", "activity/category", "Requests per category, pie : 750 items (~6 days)", 950, 500],
["data/dudley-june23-750results-manuallycollated.json", "activity/neighborhood/stacked", "Requests per neighborhood, stacked : 750 items (~6 days)", 950, 950]
];
// - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Init : Time series charts - - -- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
// this call starts everything.
setup_charts();
// - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Functions - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
// Adding a similarity comparision to Arrays.
Array.prototype.similar = function(arr2) {
for (i in this) {
if (arr2.indexOf( this[i] ) > -1) {
return true;
}
}
return false;
};
function buildNeighborhoodData(json_data, geojson){
console.log("buildNeighborhoodData- ENTER");
if (!counts){
console.log("buildNeighborhoodData- performing counting");
counts = {};
allRequestTypes = {};
var parser = new OpenLayers.Format.GeoJSON();
var vectors = parser.read(geojson);
var lat, lon, point, neighborhood = "Unknown", category = "Uknown";
json_data.forEach(function(row) {
category = row.service_name;
lat = row.lat;
lon = row.long;
point = new OpenLayers.Geometry.Point(lon, lat);
//TODO: this loop is slightly inefficient, takes 6s to parse all the data...
for( var i = 0; i < vectors.length; i++ ){
var bounds = vectors[i].geometry.getBounds();
var lonLat = new OpenLayers.LonLat(lon,lat);
// Find the center point of the neighborhood.
var center = bounds.getCenterLonLat();
//console.log(bounds);
if(bounds.containsLonLat(lonLat)){
if(vectors[i].geometry.intersects(point)){
//if(polygon.intersects(point)){
neighborhood = vectors[i].attributes['name'];
//console.log(neighborhood);
break;
}
}
}
// Store the neighborhood with its count (of how many times it was encountered until now).
if (!counts[neighborhood]) {
counts[neighborhood] = {numRequests: 0, centerPoint: {lon: center.lon, lat: center.lat}, categories: {} };
}
counts[neighborhood].numRequests++;
// Store category count and add to category array.
if (!counts[neighborhood].categories[category]) {
counts[neighborhood].categories[category] = 0;
}
counts[neighborhood].categories[category]++;
if (!allRequestTypes[category]) {
allRequestTypes[category] = category;
}
});
}
console.log("buildNeighborhoodData- counts");
console.log(counts);
return counts;
}
// setup chart objects and data.
function setup_charts() {
for (var i = 0; i < charts_data.length; i++) {
var _this = this;
// Using a function/closure to localize "i" (and giving it another name, "this_i") so that "i" doesn't always end-up being the last index of the loop.
(function(this_i){ //"localizing" i by using it in the inner function
// Create the DOM chart element.
$(".main_container").append("<div id='graph_container_"+ i +"' class='graph_container full_row'><h2>"+ charts_data[i][2] +"</h2><div id='graph_"+ i +"'></div></div>");
// Set the chart's dimensions.
var margin = {top: 30, right: 30, bottom: 30, left: 40};
var width = charts_data[i][3] - margin.left - margin.right;
var height = charts_data[i][4] - margin.top - margin.bottom;
// Set the current chart var.
var cur_chart = d3.select("#graph_" + i).append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.attr("top", 100)
.append("g") // "g" is a SVG group element for applying properties to many objects at once.
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
charts[i] = cur_chart;
// console.log(cur_chart);
// Load the JSON data.
d3.json(charts_data[this_i][0], function(error, json_data) {
// - - - - - - - - - - - - - - - - - - - - - -
// adding "Other" parsing
// - - - - - - - - - - - - - - - - - - - - - -
var trashTerms = ["trash", "garbage", "dumpster", "junk", "rubbish", "waste", "litter", "refuse", "recycling", "debris", "crap", "mess", "bin"];
var vehicleTerms = ["car", "cars", "vehicle", "truck", "bicycle", "bike", "motorcycle", "trailer"];
var streetlightTerms = ["light", "lights", "streetlight", "signal", "signals"];
var sidewalkTerms = ["sidewalk"];
var graffitiTerms = ["graffiti"];
var signTerms = ["sign", "signs"];
var landscapingTerms = ["tree", "trees", "plant", "plants", "yard", "branches", "branch", "grass"];
// RegEx for puntuation.
var punctRegEx = new RegExp(/(?!\.\w{1,2})(?!\.\d{1,2})(?!\:\d{1,2})([^A-Za-z0-9#'\u2026]+|https?:\/\/\S+)/g);
//var remainingOthers = []; // for checking word counts of un accounted others.
//var remainingDescriptions = [];
$.each(json_data, function (key, value) {
if (value.service_name == "Other") {
if (value.description != undefined) {
var words = value.description.replace(punctRegEx, " "); // Remove Punctuation
words = words.toLowerCase(); // convert description sentence to lowercase.
var wordsArray = words.split(" ");
if (trashTerms.similar(wordsArray)) { // .similar is prototyped to array at the top of the script.
json_data[key].service_name = "Trash"; // True match to trashTerms
} else if (vehicleTerms.similar(wordsArray)) {
json_data[key].service_name = "Vehicle"; // True match to vehicleTerms
} else if (streetlightTerms.similar(wordsArray)) {
json_data[key].service_name = "Streetlight"; // True match to streetlightTerms
} else if (sidewalkTerms.similar(wordsArray)) {
json_data[key].service_name = "Sidewalk Patch"; // True match to sidewalkTerms
} else if (graffitiTerms.similar(wordsArray)) {
json_data[key].service_name = "Graffiti"; // True match to graffitiTerms
} else if (signTerms.similar(wordsArray)) {
json_data[key].service_name = "Damaged Sign"; // True match to signTerms
} else if (landscapingTerms.similar(wordsArray)) {
json_data[key].service_name = "Landscaping"; // True match to landscapingTerms
} else {
//console.log("------ A FLASE return ------");
//remainingDescriptions.push(value.description); //Uncomment to count unaccounted words.
//$.each(wordsArray, function (k, v) {
// if (remainingOthers[v] == undefined) {
// remainingOthers[v] = { "count" : 1 };
// } else {
// remainingOthers[v].count++;
// }
//});
}
}
}
});
// console.log("THE DATA IS COMING!!!")
// console.log(remainingOthers);
// console.log(remainingDescriptions.join("; "));
// - - - - - - - - - - - - - - - - - - - - - -
// End of parsing
// - - - - - - - - - - - - - - - - - - - - - -
// console.log("- - - - - - - - - - - - - - - - - - #"+ this_i +" DATA : ")
// console.log(json_data);
// - - - - MAKE CHART: Map of Boston with 1 pulsing circle per neighborhood, based on activity.
if (charts_data[this_i][1] == "location/map/circles"){
d3.json("data/boston_neighborhoods.geojson", function(geojson) {
// console.log("PRE-FORMAT geoJSON");
// console.log(geojson);
// 1) --- Custom-format our data into an array of objects as {neighborhood, numRequests}.
// Build the array that counts the number of requests per neighborhood.
var counts = buildNeighborhoodData(json_data, geojson); // Create local version of the global counts var.
// console.log("NEIGHBORHOOD- counts");
// console.log(counts);
// Inject the number of requests per neighborhood into the geoJSON so it can be used when drawing the map.
for (var i=0; i < geojson.features.length; i++){
var geojsonNeighborhood = geojson.features[i].properties.name;
for (var key in counts){
var dataNeighborhood = key;
var dataNumRequest = parseFloat(counts[key].numRequests);
var dataCenterPoint = counts[key].centerPoint;
if (geojsonNeighborhood == dataNeighborhood){
geojson.features[i].properties.num_requests = dataNumRequest;
geojson.features[i].properties.center = dataCenterPoint;
break;
} else {
geojson.features[i].properties.num_requests = 0;
geojson.features[i].properties.center = dataCenterPoint;
}
}
}
// console.log("POST-FORMAT geoJSON");
// console.log(geojson);
// 2) --- Create the map.
var projection = d3.geo.mercator()
.translate([width/2, height/2])
.scale([150000])
.center([-71.07, 42.32]);
var bostonPath = d3.geo.path()
.projection(projection);
var color = d3.scale.linear()
.range(["#f7fbff", "rgb(31, 119, 180)"]) // I chose colors from ColorBrewer.
.domain([
d3.min(geojson.features, function(d) { return d.properties.num_requests; }),
d3.max(geojson.features, function(d) { return d.properties.num_requests; })
])
.nice(); // will change the range from [1, 121] to [1, 130] to get nice whole numbers.
var strokeColor = "#ccc";
var numRequestsScalingRadius = d3.scale.linear()
.range([1, 40])
.domain([
d3.min(geojson.features, function(d) { return d.properties.num_requests; }),
d3.max(geojson.features, function(d) { return d.properties.num_requests; })
]);
var numRequestsScalingDuration = d3.scale.linear()
.range([600, 6000])
.domain([
// invert the min & max to make the more active neighborhoods have the smallest duration (ie. pulse more quickly).
d3.max(geojson.features, function(d) { return d.properties.num_requests; }),
d3.min(geojson.features, function(d) { return d.properties.num_requests; })
]);
charts[this_i].selectAll("path")
.data(geojson.features)
.enter()
.append("path")
.attr("class", "boston_map")
.attr("d", bostonPath)
.attr("neighborhood", function(d){
return d.properties.name;
})
.attr("num_requests", function(d){
return d.properties.num_requests;
})
.style("fill", "#fff")
.style("stroke", strokeColor);
// Start the chart with this anim style.
radiusPulse();
// ---- Pulsing circle radius
function radiusPulse(){
charts[this_i].selectAll("circle")
.data(geojson.features)
.enter()
.append("circle")
.attr("cx", function(d){
return projection([d.properties.center.lon, d.properties.center.lat])[0];
})
.attr("cy", function(d){
return projection([d.properties.center.lon, d.properties.center.lat])[1];
})
.attr("r", function(d){
return numRequestsScalingRadius(d.properties.num_requests);
})
.style("fill", "red")
.style("stroke", "white")
.style("opacity", 0.5)
.transition()
.duration(function(d){
return numRequestsScalingDuration(d.properties.num_requests);
})
.each(pulse);
function pulse() {
var circle = d3.select(this);
(function repeat() {
circle = circle
.transition()
.attr("r", 0)
.transition()
.attr("r", function(d){
return numRequestsScalingRadius(d.properties.num_requests);
})
.each("end", repeat);
})();
}
}
// ---- Pulsing circle opacity
function opacityPulseSameSizeCircles(){
charts[this_i].selectAll("circle")
.data(geojson.features)
.enter()
.append("circle")
.attr("cx", function(d){
return projection([d.properties.center.lon, d.properties.center.lat])[0];
})
.attr("cy", function(d){
return projection([d.properties.center.lon, d.properties.center.lat])[1];
})
.attr("r", function(d){
return 10;
})
.style("fill", "red")
.style("stroke", "white")
.style("opacity", 0)
.transition()
.duration(function(d){
return numRequestsScalingDuration(d.properties.num_requests);
})
.each(pulse);
function pulse() {
var circle = d3.select(this);
(function repeat() {
circle = circle.transition()
.style("opacity", 0.6)
.transition()
.style("opacity", 0.1)
.each("end", repeat);
})();
}
}
// ---- Pulsing circle opacity
function opacityPulseDifferentSizeCircles(){
charts[this_i].selectAll("circle")
.data(geojson.features)
.enter()
.append("circle")
.attr("cx", function(d){
return projection([d.properties.center.lon, d.properties.center.lat])[0];
})
.attr("cy", function(d){
return projection([d.properties.center.lon, d.properties.center.lat])[1];
})
.attr("r", function(d){
return numRequestsScalingRadius(d.properties.num_requests);
})
.style("fill", "red")
.style("stroke", "white")
.style("opacity", 0)
.transition()
.duration(function(d){
return numRequestsScalingDuration(d.properties.num_requests);
})
.each(pulse);
function pulse() {
var circle = d3.select(this);
(function repeat() {
circle = circle.transition()
.style("opacity", 0.6)
.transition()
.style("opacity", 0.1)
.each("end", repeat);
})();
}
}
// Create buttons for selecting the animation style.
$("#graph_" + this_i).append("<button class='btn' id='button_"+this_i+"_3'>Radius Pulse</button>");
var marginRight = margin.right;
var button = $("#button_"+this_i+"_3");
button.css({top: height+margin.top+margin.bottom + "px", right: marginRight+"px"});
button.on("click", function() {
charts[this_i].selectAll("circle").remove();
radiusPulse();
});
$("#graph_" + this_i).append("<button class='btn' id='button_"+this_i+"_2'>Opacity Pulse 2</button>");
marginRight += button.width() + 20;
var button = $("#button_"+this_i+"_2");
button.css({top: height+margin.top+margin.bottom + "px", right: marginRight+"px"});
button.on("click", function() {
charts[this_i].selectAll("circle").remove();
opacityPulseDifferentSizeCircles();
});
$("#graph_" + this_i).append("<button class='btn' id='button_"+this_i+"_1'>Opacity Pulse 1</button>");
marginRight += button.width() + 20;
var button = $("#button_"+this_i+"_1");
button.css({top: height+margin.top+margin.bottom + "px", right: marginRight+"px"});
button.on("click", function() {
charts[this_i].selectAll("circle").remove();
opacityPulseSameSizeCircles();
});
});
}
// - - - - MAKE CHART: Request per neighborhood, bar chart.
else if (charts_data[this_i][1] == "activity/neighborhood"){
// Import GEOjson data of Boston neighborhoods.
d3.json("data/boston_neighborhoods.geojson", function(error, geojson) {
// 1) --- Custom-format our data into an array of objects as {neighborhood, numRequests}.
// Build the array that counts the number of requests per neighborhood.
var counts = buildNeighborhoodData(json_data, geojson); // Create local version of the global counts var.
// Use the counts array to build a proper array of data objects {neighborhood, count}.
var data = [];
for (var key in counts){
var dataNeighborhood = key;
var dataNumRequest = parseFloat(counts[key].numRequests);
data.push({
neighborhood: dataNeighborhood,
numRequests: dataNumRequest
});
}
// console.log("NEIGHBORHOOD- data PRE-SORT: ");
// console.log(data);
// A comparison function that is used to sort the dates in ascending order (oldest to newest).
var date_sort_asc = function (neighborhood1, neighborhood2) {
if (neighborhood1.neighborhood > neighborhood2.neighborhood) return 1;
if (neighborhood1.neighborhood < neighborhood2.neighborhood) return -1;
return 0;
};
// Sort the dates (because d3.extent() in domain() below expects items to be sorted).
data.sort(date_sort_asc);
// Copy new data back into json_data for convenience (so all charts use json_data for building their chart).
json_data = data.slice();
// console.log("NEIGHBORHOOD- json_data POST-SORT: ");
// console.log(json_data);
// 2) --- Now we can create the chart.
height -= 100; // Reduce the height of the graph to fit the graph + labels into the div.
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1)
.domain(json_data.map(function(d) { return d.neighborhood; }));
var y = d3.scale.linear()
.range([height, 0])
.domain([0, d3.max(json_data, function(d) { return d.numRequests; })]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
charts[this_i].append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.selectAll("text")
.attr("y", 0)
.attr("x", 9)
.attr("dy", ".35em")
.attr("transform", "rotate(90)")
.style("text-anchor", "start");
charts[this_i].append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("#Requests");
charts[this_i].selectAll(".bar")
.data(json_data)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) { return x(d.neighborhood); })
.attr("width", x.rangeBand())
.attr("y", function(d) { return y(d.numRequests); })
.attr("height", function(d) { return height - y(d.numRequests); });
});
}
// - - - - MAKE CHART: Request per neighborhood, category stacked bar chart.
else if (charts_data[this_i][1] == "activity/neighborhood/stacked"){
// Import GEOjson data of Boston neighborhoods.
d3.json("data/boston_neighborhoods.geojson", function(error, geojson) {
// 1) --- Custom-format our data into an array of objects as {neighborhood, numRequests}.
// Build the array that counts the number of requests per neighborhood.
var counts = buildNeighborhoodData(json_data, geojson); // Create local version of the global counts var.
console.log("NEIGHBORHOOD- counts");
console.log(counts);
// Use the counts array to build a proper array of data objects {neighborhood, count}.
var data = [];
// Loop thru each key in counts, and push the key as item #1 and the counts as item #2, and categories as item #3.
for (var key in counts){
var dataNeighborhood = key;
var dataNumRequest = parseFloat(counts[key].numRequests);
var dataCategories = counts[key].categories;
data.push({
neighborhood: dataNeighborhood,
numRequests: dataNumRequest,
categories: dataCategories
});
}
var allReq = [];
for (var key in _this.allRequestTypes){
allReq.push(key);
}
// A comparison funciton that is used to sort the dates in ascending order (oldest to newest).
var date_sort_asc = function (neighborhood1, neighborhood2) {
if (neighborhood1.neighborhood > neighborhood2.neighborhood) return 1;
if (neighborhood1.neighborhood < neighborhood2.neighborhood) return -1;
return 0;
};
// Sort the dates (because d3.extent() in domain() below expects items to be sorted).
data.sort(date_sort_asc);
console.log("* * * * *")
console.log(data);
// Copy new data back into json_data for convenience (so all charts use json_data for building their chart).
json_data = data.slice();
// Create the d3 Stack Layout by mapping the data.
var allCat = d3.layout.stack()(allReq.map(function(req) {
return json_data.map(function(d) {
if (d.categories[req]) {
return {name: req, x: d.neighborhood, y: d.categories[req]};
} else {
return {name: req, x: d.neighborhood, y: 0};
}
});
}));
// 2) --- Now we can create the chart.
height -= 100; // Reduce the height of the graph to fit the graph + labels into the div.
var color = d3.scale.category20();
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1)
.domain(json_data.map(function(d) { return d.neighborhood; }));
var y = d3.scale.linear()
.range([height, 0])
.domain([0, d3.max(allCat[allCat.length - 1], function(d) { return d.y0 + d.y; })]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
charts[this_i].append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.selectAll("text")
.attr("y", 0)
.attr("x", 9)
.attr("dy", ".35em")
.attr("transform", "rotate(90)")
.style("text-anchor", "start");
charts[this_i].append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("#Requests");
var catRequests = charts[this_i].selectAll(".request")
.data(allCat)
.enter().append("g")
.attr("class", "request")
.style("fill", function(d, i) { return color(d[0].name); });
//.style("stroke", function(d, i) { return d3.rgb(color(d[0].name)).darker(); });
catRequests.selectAll(".bar2")
.data(function(d) {return d})
.enter().append("rect")
.attr("class", "bar2")
.attr("x", function(d) { return x(d.x); })
.attr("width", x.rangeBand())
.attr("y", function(d) { return y(d.y0+d.y); })
.attr("height", function(d) { return height - y(d.y); });
//Ledgend copied from JC's work. "d" has been manipulated for current data set.
var legend = charts[this_i].selectAll(".legend")
.data(allCat)
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width)
.attr("width", 18)
.attr("height", 18)
.style("fill", function(d) { return color(d[0].name); });
legend.append("text")
.attr("x", width - 5)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d[0].name; });
});
}
// - - - - MAKE CHART: Request Category, pie chart.
else if (charts_data[this_i][1] == "activity/category"){
//---"counts" array used to create Data array "catData"---
var counts = [];
var catData = [];
//---Build Arrays step 1---
json_data.forEach(function(row) {
var category = row.service_name;
if (!counts[category]) {
counts[category] = 0
catData.push({"name": category, "count": 0});
};
counts[category]++;
});
//---Build Arrays step 2---
catData.forEach(function(value) {
value.count = counts[value.name];
});
//---Create Pie Chart---
var radius = height - 210,
labelr = radius + 10, // Label distance from center.
posX = width/2,
posY = height/2;
var color = d3.scale.category20();
//Arc Slice Template Element
var arc = d3.svg.arc()
.outerRadius(radius)
.innerRadius(0);
//Pie Charts use a layout in D3
var pie = d3.layout.pie()
.sort(null)
.value(function(d) { return d.count; });
//Pass in Data and position new group.
var g = cur_chart.selectAll(".arc")
.data(pie(catData))
.enter().append("g")
.attr("transform", "translate(" + posX + "," + posY + ")")
.attr("class", "arc");
g.append("path")
.attr("d", arc)
.style("fill", function(d) { return color(d.data.name); });
//--Labels--
g.append("text")
.attr("transform", function(d) {
//--Math for Labels--
var c = arc.centroid(d),
x = c[0],
y = c[1],
// pythagorean theorem for hypotenuse
h = Math.sqrt(x*x + y*y);
return "translate(" + (x/h * labelr) + ',' +
(y/h * labelr) + ")";
})
.attr("dy", ".35em")
.style("text-anchor", function(d) {
// are we past the center?
return (d.endAngle + d.startAngle)/2 > Math.PI ?
"end" : "start";
})
.text(function(d) {
//Math for percentage with 1 decimal point.
return Math.round(((d.endAngle - d.startAngle)/(2*Math.PI))*1000)/10 + "%";
});
//Ledgend copied from JC's work. "d" has been manipulated for current data set.
var legend = charts[this_i].selectAll(".legend")
.data(catData)
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", function(d) { return color(d.name); });
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d.name; });
}
// - - - - MAKE CHART: Request per hour, bar chart.
else if (charts_data[this_i][1] == "activity/hour"){
// 1) --- Custom-format our data into an array of objects as {hour, numOfRequestsThatHour}.
var parseDate = d3.time.format("%Y-%m-%dT%H%Z").parse;
// Build the array that counts requests per hour.
var counts = {};
json_data.forEach(function(row) {
// Format the date to represent a hour.
var date = row.updated_datetime.slice(0, -3) + row.updated_datetime.slice(-2); // remove the colon ':' from the timezone at the end.
date = date.slice(0, 13) + date.slice(-5); // remove anything smaller than a hour (ie. remove seconds).
date = parseDate(date); //TODO: timezone isn't working correctly....
// Store the date with its count (of how many times it was encountered until now).
if (!counts[date]) {
counts[date] = 0;
}
counts[date]++;
});
// Use the counts array to build a proper array of data objects {hour, count}.
var data = [];
// Loop thru each key in counts, and push the key as item #1 and the counts as item #2.
Object.keys(counts).forEach(function(key) {
// The 'key' in counts is the date. We must convert it back to a Date obj because this loop casts it to a string (weirdly).
key = new Date(key);
data.push({
updated_datetime: key,
requests: counts[key]
});
});
// console.log("counts: ");
// console.log(counts);
// console.log("data PRE-SORT: ");
// console.log(data);
// A comparison funciton that is used to sort the dates in ascending order (oldest to newest).
var date_sort_asc = function (date1, date2) {
if (date1.updated_datetime > date2.updated_datetime) return 1;
if (date1.updated_datetime < date2.updated_datetime) return -1;
return 0;
};
// Sort the dates (because d3.extent() in domain() below expects items to be sorted).
data.sort(date_sort_asc);
// Copy new data back into json_data for convenience (so all charts use json_data for building their chart).
json_data = data.slice();
// console.log("json_data POST-SORT: ");
// console.log(json_data);
// 2) --- Now we can create the chart.
var x = d3.time.scale()
.range([0, width])
.domain(d3.extent(json_data, function(d) { return d.updated_datetime; }));
var y = d3.scale.linear()
.range([height, 0])
.domain([0, d3.max(json_data, function(d) { return d.requests; })]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
charts[this_i].append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.append("text")
.attr("class", "label")
.attr("x", width)
.attr("y", -6)
.style("text-anchor", "end")
.text("Hour");
charts[this_i].append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("#Requests");
charts[this_i].selectAll(".bar")
.data(json_data)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) { return x(d.updated_datetime); })
.attr("width", 2)
.attr("y", function(d) { return y(d.requests); })
.attr("height", function(d) { return height - y(d.requests); });
}
// - - - - MAKE CHART: Location Long/Lat, scatterplot.
else if (charts_data[this_i][1] == "location/animation"){
var x = d3.scale.linear()
.range([0, width])
.domain(d3.extent(json_data, function(d) { return d.lat; })).nice();
var y = d3.scale.linear()
.range([height, 0])
.domain(d3.extent(json_data, function(d) { return d.long; })).nice();
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left");
var color = d3.scale.category20(); // Creates 20 colors to color the dots.
json_data.forEach(function(d) {
d.lat = +d.lat;
d.long = +d.long;
});
charts[this_i].append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.append("text")
.attr("class", "label")
.attr("x", width)
.attr("y", -6)
.style("text-anchor", "end")
.text("Latitude");
charts[this_i].append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("class", "label")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Longitude");
charts[this_i].selectAll(".dot")
.data(json_data)
.enter().append("circle")
.attr("class", "dot")
.attr("r", 0)
.attr("cx", function(d) { return x(d.lat); })
.attr("cy", function(d) { return y(d.long); })
.style("opacity",0)
.style("fill", function(d) { return color(d.service_name); })
.transition()
.delay(function(d, i){ return i*50})
.duration(2000)
.attr("r", 35)
.style("opacity",0.7)
.transition()
.attr("r", 3.5)
.style("opacity",1);
var legend = charts[this_i].selectAll(".legend")
.data(color.domain())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d; });
// Add a button to replay the animation.
$("#graph_" + this_i).append("<button class='btn' id='button_"+this_i+"'>Replay</button>");
var button = $("#button_"+this_i);
button.on("click", function() {
charts[this_i].selectAll(".dot").remove();
// Re-add everything as we did originally.
charts[this_i].selectAll(".dot")
.data(json_data)
.enter().append("circle")
.attr("class", "dot")
.attr("r", 0)
.attr("cx", function(d) { return x(d.lat); })
.attr("cy", function(d) { return y(d.long); })
.style("opacity",0)
.style("fill", function(d) { return color(d.service_name); })
.transition()
.delay(function(d, i){ return i*50})
.duration(2000)
.attr("r", 35)
.style("opacity",0.7)
.transition()
.attr("r", 3.5)
.style("opacity",1);
});
}
// - - - - MAKE CHART: Choropleth map of Boston.
else if (charts_data[this_i][1] == "location/map/choropleth"){
d3.json("data/boston_neighborhoods.geojson", function(geojson) {
// console.log("PRE-FORMAT geoJSON");
// console.log(geojson);
// 1) --- Custom-format our data into an array of objects as {neighborhood, numRequests}.
// Build the array that counts the number of requests per neighborhood.
var counts = buildNeighborhoodData(json_data, geojson); // Create local version of the global counts var.