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<head>
<meta charset="utf-8">
<title>Issues Ratings</title>
<style>
body {
font: 10px sans-serif;
}
.axis path,
.axis line,
.axis1 path,
.axis1 line {
fill: none;
stroke: #E6E7E8;
shape-rendering: crispEdges;
}
.x.axis path, .x.axis1 path {
display: none;
}
.line {
fill: none;
stroke-width: 1.5px;
}
.legend-box {
cursor: pointer;
}
#mouse-tracker {
stroke: #E6E7E8;
stroke-width: 1px;
}
.hover-line {
stroke: #E6E7E8;
fill: none;
stroke-width: 1px;
left: 10px;
shape-rendering: crispEdges;
opacity: 0.000001;
}
.hover-text {
stroke: none;
font-size: 30px;
font-weight: bold;
fill: #000000;
}
.tooltip {
font-weight: normal;
}
.brush .extent {
stroke: #FFF;
shape-rendering: crispEdges;
}
</style>
</head>
<body>
<script src="https://d3js.org/d3.v3.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.8.3/underscore-min.js"></script>
<script>
var margin = {top: 20, right: 200, bottom: 100, left: 50},
margin2 = { top: 430, right: 10, bottom: 20, left: 40 },
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom,
height2 = 500 - margin2.top - margin2.bottom;
var bisectDate = d3.bisector(function(d) { return d['Post Hour']; }).left;
var xScale = d3.scale.linear()
.range([0, width]),
xScale2 = d3.scale.linear()
.range([0, width]); // Duplicate xScale for brushing ref later
var yScale = d3.scale.linear()
.range([height, 0]);
// 40 Custom DDV colors
var color = d3.scale.ordinal().range(["#E05A6D", "#F2DE8A", "#72C39B", "#DBC75F", "#7FC9BD", "#E0B15B", "#D3779F", "#B681BE", "#E39158", "#7FBBCF", "#48A36D", "#E2705C"]);
var xAxis = d3.svg.axis()
.scale(xScale)
.orient("bottom"),
xAxis2 = d3.svg.axis() // xAxis for brush slider
.scale(xScale2)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(yScale)
.orient("left");
var line = d3.svg.line()
.interpolate("basis")
.x(function(d) { return xScale(d['Post Hour']); })
.y(function(d) { return yScale(d.rating); })
.defined(function(d) { return d.rating; }); // Hiding line value defaults of 0 for missing data
var maxY; // Defined later to update yAxis
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom) //height + margin.top + margin.bottom
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// Create invisible rect for mouse tracking
svg.append("rect")
.attr("width", width)
.attr("height", height)
.attr("x", 0)
.attr("y", 0)
.attr("id", "mouse-tracker")
.style("fill", "white");
//for slider part-----------------------------------------------------------------------------------
var context = svg.append("g") // Brushing context box container
.attr("transform", "translate(" + 0 + "," + 410 + ")")
.attr("class", "context");
//append clip path for lines plotted, hiding those part out of bounds
svg.append("defs")
.append("clipPath")
.attr("id", "clip")
.append("rect")
.attr("width", width)
.attr("height", height);
//end slider part-----------------------------------------------------------------------------------
d3.csv("dataset_Facebook-table.csv", function(error, rawData) {
rawData = _.chain(rawData).map(function (ele) {
var obj = {};
obj['Post Hour'] = +ele['Post Hour'];
_.each(d3.keys(ele).slice(7), function (attr) {
obj[attr] = +ele[attr];
});
return obj;
}).value();
color.domain(_.filter(d3.keys(rawData[0]), function(key) { // Set the domain of the color ordinal scale to be all the csv headers except "Post Hour", matching a color to an issue
return key !== "Post Hour";
}));
var data = _.chain(rawData)
.groupBy('Post Hour')
.map(function (value, key) {
var obj = {};
obj['Post Hour'] = +key;
_.each(color.domain(), function (attr) {
var arr = _.pluck(value, attr);
obj[attr] = Math.round(_.reduce(arr, function (memo, value) {
return memo + value;
}, 0) / (arr.length == 0 ? 1 : arr.length));
});
return obj;
}).value();
var categories = _.map(color.domain(), function(name) { // Nest the data into an array of objects with new keys
return {
name: name, // "name": the csv headers except date
values: _.map(data, function(d) {
return {
'Post Hour': d['Post Hour'],
rating: d[name]
};
}),
visible: false // "visible": all false except for economy which is true.
};
});
xScale.domain(d3.extent(data, function(d) { return d['Post Hour']; })); // extent = highest and lowest points, domain is data, range is bouding box
yScale.domain([0,
d3.max(categories, function(c) { return d3.max(c.values, function(v) { return v.rating; }); })
]);
xScale2.domain(xScale.domain()); // Setting a duplicate xdomain for brushing reference later
//for slider part-----------------------------------------------------------------------------------
var brush = d3.svg.brush()//for slider bar at the bottom
.x(xScale2)
.on("brush", brushed);
context.append("g") // Create brushing xAxis
.attr("class", "x axis1")
.attr("transform", "translate(0," + height2 + ")")
.call(xAxis2);
var contextArea = d3.svg.area() // Set attributes for area chart in brushing context graph
.interpolate("monotone")
.x(function(d) { return xScale2(d['Post Hour']); }) // x is scaled to xScale2
.y0(height2) // Bottom line begins at height2 (area chart not inverted)
.y1(0); // Top line of area, 0 (area chart not inverted)
//plot the rect as the bar at the bottom
context.append("path") // Path is created using svg.area details
.attr("class", "area")
.attr("d", contextArea(categories[0].values)) // pass first categories data .values to area path generator
.attr("fill", "#F1F1F2");
//append the brush for the selection of subsection
context.append("g")
.attr("class", "x brush")
.call(brush)
.selectAll("rect")
.attr("height", height2) // Make brush rects same height
.attr("fill", "#E6E7E8");
//end slider part-----------------------------------------------------------------------------------
// draw line graph
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("x", -10)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Issues Rating");
var issue = svg.selectAll(".issue")
.data(categories) // Select nested data and append to new svg group elements
.enter().append("g")
.attr("class", "issue");
issue.append("path")
.attr("class", "line")
.style("pointer-events", "none") // Stop line interferring with cursor
.attr("id", function(d) {
return "line-" + d.name.replace(" ", "").replace("/", ""); // Give line id of line-(insert issue name, with any spaces replaced with no spaces)
})
.attr("d", function(d) {
return d.visible ? line(d.values) : null; // If array key "visible" = true then draw line, if not then don't
})
.attr("clip-path", "url(#clip)")//use clip path to make irrelevant part invisible
.style("stroke", function(d) { return color(d.name); });
// draw legend
var legendSpace = 450 / categories.length; // 450/number of issues (ex. 40)
issue.append("rect")
.attr("width", 10)
.attr("height", 10)
.attr("x", width + (margin.right/3) - 15)
.attr("y", function (d, i) { return (legendSpace)+i*(legendSpace) - 8; }) // spacing
.attr("fill",function(d) {
return d.visible ? color(d.name) : "#F1F1F2"; // If array key "visible" = true then color rect, if not then make it grey
})
.attr("class", "legend-box")
.on("click", function(d){ // On click make d.visible
d.visible = !d.visible; // If array key for this data selection is "visible" = true then make it false, if false then make it true
maxY = findMaxY(categories); // Find max Y rating value categories data with "visible"; true
yScale.domain([0, maxY]); // Redefine yAxis domain based on highest y value of categories data with "visible"; true
svg.select(".y.axis")
.transition()
.call(yAxis);
issue.select("path")
.transition()
.attr("d", function(d){
return d.visible ? line(d.values) : null; // If d.visible is true then draw line for this d selection
});
issue.select("rect")
.transition()
.attr("fill", function(d) {
return d.visible ? color(d.name) : "#F1F1F2";
});
})
.on("mouseover", function(d){
d3.select(this)
.transition()
.attr("fill", function(d) { return color(d.name); });
d3.select("#line-" + d.name.replace(" ", "").replace("/", ""))
.transition()
.style("stroke-width", 2.5);
})
.on("mouseout", function(d){
d3.select(this)
.transition()
.attr("fill", function(d) {
return d.visible ? color(d.name) : "#F1F1F2";});
d3.select("#line-" + d.name.replace(" ", "").replace("/", ""))
.transition()
.style("stroke-width", 1.5);
});
issue.append("text")
.attr("x", width + (margin.right/3))
.attr("y", function (d, i) { return (legendSpace)+i*(legendSpace); }) // (return (11.25/2 =) 5.625) + i * (5.625)
.text(function(d) { return d.name; });
// Hover line
var hoverLineGroup = svg.append("g")
.attr("class", "hover-line");
var hoverDate = hoverLineGroup
.append('text')
.attr("class", "hover-text")
.attr("y", height - (height-40)) // hover date text position
.attr("x", width - 150) // hover date text position
.style("fill", "#E6E7E8");
var focus = issue.select("g") // create group elements to house tooltip text
.data(color.domain()) // bind each column name date to each g element
.enter().append("g") //create one <g> for each columnName
.attr("class", "focus");
focus.append("text") // https://stackoverflow.com/questions/22064083/d3-js-multi-series-chart-with-y-value-tracking
.attr("class", "tooltip")
.attr("x", width + 20) // position tooltips
.attr("y", function (d, i) { return (legendSpace)+i*(legendSpace); }); // (return (11.25/2 =) 5.625) + i * (5.625) // position tooltips
// Add mouseover events for hover line.
d3.select("#mouse-tracker") // select chart plot background rect #mouse-tracker
.on("mousemove", mousemove) // on mousemove activate mousemove function defined below
.on("mouseout", function() {
hoverDate
.text(null); // on mouseout remove text for hover date
d3.select("#hover-line")
.style("opacity", 1e-6); // On mouse out making line invisible
});
function mousemove() {
var mouse_x = d3.mouse(this)[0]; // Finding mouse x position on rect
d3.select("#hover-line") // select hover-line and changing attributes to mouse position
.attr("x1", mouse_x)
.attr("x2", mouse_x)
.style("opacity", 1); // Making line visible
// Legend tooltips // https://www.d3noob.org/2014/07/my-favourite-tooltip-method-for-line.html
var x0 = xScale.invert(d3.mouse(this)[0]), /* d3.mouse(this)[0] returns the x position on the screen of the mouse. xScale.invert function is reversing the process that we use to map the domain (date) to range (position on screen). So it takes the position on the screen and converts it into an equivalent date! */
i = bisectDate(data, x0, 1); // use our bisectDate function that we declared earlier to find the index of our data array that is close to the mouse cursor
/*It takes our data array and the date corresponding to the position of or mouse cursor and returns the index number of the data array which has a date that is higher than the cursor position.*/
var d = i == data.length - 1 ? data[i] : x0 - data[i - 1]['Post Hour'] > data[i]['Post Hour'] - x0 ? data[i] : data[i - 1];
// /*The final line in this segment declares a new array d that is represents the date and close combination that is closest to the cursor. It is using the magic JavaScript short hand for an if statement that is essentially saying if the distance between the mouse cursor and the date and close combination on the left is greater than the distance between the mouse cursor and the date and close combination on the right then d is an array of the date and close on the right of the cursor (d1). Otherwise d is an array of the date and close on the left of the cursor (d0).*/
//d is now the data row for the date closest to the mouse position
focus.select("text").text(function(columnName){
//because you didn't explictly set any data on the <text>
//elements, each one inherits the data from the focus <g>
return (d[columnName]);
});
}
//for brusher of the slider bar at the bottom
function brushed() {
xScale.domain(brush.empty() ? xScale2.domain() : brush.extent()); // If brush is empty then reset the Xscale domain to default, if not then make it the brush extent
svg.select(".x.axis") // replot xAxis with transition when brush used
.transition()
.call(xAxis);
maxY = findMaxY(categories); // Find max Y rating value categories data with "visible"; true
yScale.domain([0,maxY]); // Redefine yAxis domain based on highest y value of categories data with "visible"; true
svg.select(".y.axis") // Redraw yAxis
.transition()
.call(yAxis);
issue.select("path") // Redraw lines based on brush xAxis scale and domain
.transition()
.attr("d", function(d){
return d.visible ? line(d.values) : null; // If d.visible is true then draw line for this d selection
});
}
}); // End Data callback function
function findMaxY(data){ // Define function "findMaxY"
var maxYValues = data.map(function(d) {
if (d.visible){
return d3.max(d.values, function(value) { // Return max rating value
return value.rating; })
}
});
return d3.max(maxYValues);
}
</script>
</body>
Modified http://d3js.org/d3.v3.js to a secure url
https://d3js.org/d3.v3.js
https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.8.3/underscore-min.js