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ldavis_sci.js
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ldavis_sci.js
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LDAvis = function(to_select, json_file) {
// This section sets up the logic for event handling
var current_clicked = {
what: "nothing",
element: undefined
},
current_hover = {
what: "nothing",
element: undefined
},
old_winning_state = {
what: "nothing",
element: undefined
},
vis_state = {
lambda: 1,
topic: 0,
term: ""
};
// Set up a few 'global' variables to hold the data:
var K, // number of topics
R, // number of terms to display in bar chart
mdsData, // (x,y) locations and topic proportions
mdsData3, // topic proportions for all terms in the viz
lamData, // all terms that are among the top-R most relevant for all topics, lambda values
lambda = {
old: 1,
current: 1
},
color1 = "#1f77b4", // baseline color for default topic circles and overall term frequencies
color2 = "#d62728"; // 'highlight' color for selected topics and term-topic frequencies
// Set the duration of each half of the transition:
var duration = 750;
// Set global margins used for everything
var margin = {
top: 30,
right: 30,
bottom: 70,
left: 30
},
mdswidth = 530,
mdsheight = 530,
barwidth = 530,
barheight = 530,
termwidth = 90, // width to add between two panels to display terms
mdsarea = mdsheight * mdswidth;
// controls how big the maximum circle can be
// doesn't depend on data, only on mds width and height:
var rMax = 60;
// proportion of area of MDS plot to which the sum of default topic circle areas is set
var circle_prop = 0.25;
var word_prop = 0.25;
// opacity of topic circles:
var base_opacity = 0.2,
highlight_opacity = 0.6;
// topic/lambda selection names are specific to *this* vis
var topic_select = to_select + "-topic";
var lambda_select = to_select + "-lambda";
// get rid of the # in the to_select (useful) for setting ID values
var parts = to_select.split("#");
var visID = parts[parts.length - 1];
var topicID = visID + "-topic";
var lambdaID = visID + "-lambda";
var termID = visID + "-term";
var topicDown = topicID + "-down";
var topicUp = topicID + "-up";
var topicClear = topicID + "-clear";
//////////////////////////////////////////////////////////////////////////////
// sort array according to a specified object key name
// Note that default is decreasing sort, set decreasing = -1 for increasing
// adpated from http://stackoverflow.com/questions/16648076/sort-array-on-key-value
function fancysort(key_name, decreasing) {
decreasing = (typeof decreasing === "undefined") ? 1 : decreasing;
return function(a, b) {
if (a[key_name] < b[key_name])
return 1 * decreasing;
if (a[key_name] > b[key_name])
return -1 * decreasing;
return 0;
};
}
// The actual read-in of the data and main code:
d3.json(json_file, function(error, data) {
// set the number of topics to global variable K:
K = data['mdsDat'].x.length;
// R is the number of top relevant (or salient) words whose bars we display
R = data['R'];
// a (K x 5) matrix with columns x, y, topics, Freq, cluster (where x and y are locations for left panel)
mdsData = [];
for (var i = 0; i < K; i++) {
var obj = {};
for (var key in data['mdsDat']) {
obj[key] = data['mdsDat'][key][i];
}
mdsData.push(obj);
}
// a huge matrix with 3 columns: Term, Topic, Freq, where Freq is all non-zero probabilities of topics given terms
// for the terms that appear in the barcharts for this data
mdsData3 = [];
for (var i = 0; i < data['token.table'].Term.length; i++) {
var obj = {};
for (var key in data['token.table']) {
obj[key] = data['token.table'][key][i];
}
mdsData3.push(obj);
}
// large data for the widths of bars in bar-charts. 6 columns: Term, logprob, loglift, Freq, Total, Category
// Contains all possible terms for topics in (1, 2, ..., k) and lambda in the user-supplied grid of lambda values
// which defaults to (0, 0.01, 0.02, ..., 0.99, 1).
lamData = [];
for (var i = 0; i < data['tinfo'].Term.length; i++) {
var obj = {};
for (var key in data['tinfo']) {
obj[key] = data['tinfo'][key][i];
}
lamData.push(obj);
}
// Create the topic input & lambda slider forms. Inspired from:
// http://bl.ocks.org/d3noob/10632804
// http://bl.ocks.org/d3noob/10633704
init_forms(topicID, lambdaID, visID);
// When the value of lambda changes, update the visualization
d3.select(lambda_select)
.on("mouseup", function() {
// store the previous lambda value
lambda.old = lambda.current;
lambda.current = document.getElementById(lambdaID).value;
vis_state.lambda = +this.value;
// adjust the text on the range slider
d3.select(lambda_select).property("value", vis_state.lambda);
d3.select(lambda_select + "-value").text(vis_state.lambda);
// transition the order of the bars
var increased = lambda.old < vis_state.lambda;
if (vis_state.topic > 0) reorder_bars(increased);
// store the current lambda value
state_save(true);
document.getElementById(lambdaID).value = vis_state.lambda;
});
d3.select("#" + topicUp)
.on("click", function() {
// remove term selection if it exists (from a saved URL)
var termElem = document.getElementById(termID + vis_state.term);
if (termElem !== undefined) term_off(termElem);
vis_state.term = "";
var value_old = document.getElementById(topicID).value;
var value_new = Math.min(K, +value_old + 1).toFixed(0);
// increment the value in the input box
document.getElementById(topicID).value = value_new;
topic_off(document.getElementById(topicID + value_old));
topic_on(document.getElementById(topicID + value_new));
vis_state.topic = value_new;
state_save(true);
})
d3.select("#" + topicDown)
.on("click", function() {
// remove term selection if it exists (from a saved URL)
var termElem = document.getElementById(termID + vis_state.term);
if (termElem !== undefined) term_off(termElem);
vis_state.term = "";
var value_old = document.getElementById(topicID).value;
var value_new = Math.max(0, +value_old - 1).toFixed(0);
// increment the value in the input box
document.getElementById(topicID).value = value_new;
topic_off(document.getElementById(topicID + value_old));
topic_on(document.getElementById(topicID + value_new));
vis_state.topic = value_new;
state_save(true);
})
d3.select("#" + topicID)
.on("keyup", function() {
// remove term selection if it exists (from a saved URL)
var termElem = document.getElementById(termID + vis_state.term);
if (termElem !== undefined) term_off(termElem);
vis_state.term = "";
topic_off(document.getElementById(topicID + vis_state.topic))
var value_new = document.getElementById(topicID).value;
if (!isNaN(value_new) && value_new > 0) {
value_new = Math.min(K, Math.max(1, value_new))
topic_on(document.getElementById(topicID + value_new));
vis_state.topic = value_new;
state_save(true);
document.getElementById(topicID).value = vis_state.topic;
}
})
d3.select("#" + topicClear)
.on("click", function() {
state_reset();
state_save(true);
})
// create linear scaling to pixels (and add some padding on outer region of scatterplot)
var xrange = d3.extent(mdsData, function(d) {
return d.x;
}); //d3.extent returns min and max of an array
var xdiff = xrange[1] - xrange[0],
xpad = 0.05;
var yrange = d3.extent(mdsData, function(d) {
return d.y;
});
var ydiff = yrange[1] - yrange[0],
ypad = 0.05;
if (xdiff > ydiff) {
var xScale = d3.scale.linear()
.range([0, mdswidth])
.domain([xrange[0] - xpad * xdiff, xrange[1] + xpad * xdiff]);
var yScale = d3.scale.linear()
.range([mdsheight, 0])
.domain([yrange[0] - 0.5*(xdiff - ydiff) - ypad*xdiff, yrange[1] + 0.5*(xdiff - ydiff) + ypad*xdiff]);
} else {
var xScale = d3.scale.linear()
.range([0, mdswidth])
.domain([xrange[0] - 0.5*(ydiff - xdiff) - xpad*ydiff, xrange[1] + 0.5*(ydiff - xdiff) + xpad*ydiff]);
var yScale = d3.scale.linear()
.range([mdsheight, 0])
.domain([yrange[0] - ypad * ydiff, yrange[1] + ypad * ydiff]);
}
// Create new svg element (that will contain everything):
var svg = d3.select(to_select).append("svg")
.attr("width", mdswidth + barwidth + margin.left + termwidth + margin.right)
.attr("height", mdsheight + 2 * margin.top + margin.bottom + 2 * rMax);
// Create a group for the mds plot
var mdsplot = svg.append("g")
.attr("id", "leftpanel")
.attr("class", "points")
.attr("transform", "translate(" + margin.left + "," + 2 * margin.top + ")");
// Clicking on the mdsplot should clear the selection
mdsplot
.append("rect")
.attr("x", 0)
.attr("y", 0)
.attr("height", mdsheight)
.attr("width", mdswidth)
.style("fill", color1)
.attr("opacity", 0)
.on("click", function() {
state_reset();
state_save(true);
});
mdsplot.append("line") // draw x-axis
.attr("x1", 0)
.attr("x2", mdswidth)
.attr("y1", mdsheight / 2)
.attr("y2", mdsheight / 2)
.attr("stroke", "gray")
.attr("opacity", 0.3);
mdsplot.append("text") // label x-axis
.attr("x", 0)
.attr("y", mdsheight/2 - 5)
.text(data['plot.opts'].xlab)
.attr("fill", "gray");
mdsplot.append("line") // draw y-axis
.attr("x1", mdswidth / 2)
.attr("x2", mdswidth / 2)
.attr("y1", 0)
.attr("y2", mdsheight)
.attr("stroke", "gray")
.attr("opacity", 0.3);
mdsplot.append("text") // label y-axis
.attr("x", mdswidth/2 + 5)
.attr("y", 7)
.text(data['plot.opts'].ylab)
.attr("fill", "gray");
// new definitions based on fixing the sum of the areas of the default topic circles:
var newSmall = Math.sqrt(0.02*mdsarea*circle_prop/Math.PI);
var newMedium = Math.sqrt(0.05*mdsarea*circle_prop/Math.PI);
var newLarge = Math.sqrt(0.10*mdsarea*circle_prop/Math.PI);
var cx = 10 + newLarge,
cx2 = cx + 1.5 * newLarge;
// circle guide inspired from
// http://www.nytimes.com/interactive/2012/02/13/us/politics/2013-budget-proposal-graphic.html?_r=0
circleGuide = function(rSize, size) {
d3.select("#leftpanel").append("circle")
.attr('class', "circleGuide" + size)
.attr('r', rSize)
.attr('cx', cx)
.attr('cy', mdsheight + rSize)
.style('fill', 'none')
.style('stroke-dasharray', '2 2')
.style('stroke', '#999');
d3.select("#leftpanel").append("line")
.attr('class', "lineGuide" + size)
.attr("x1", cx)
.attr("x2", cx2)
.attr("y1", mdsheight + 2 * rSize)
.attr("y2", mdsheight + 2 * rSize)
.style("stroke", "gray")
.style("opacity", 0.3);
}
circleGuide(newSmall, "Small");
circleGuide(newMedium, "Medium");
circleGuide(newLarge, "Large");
var defaultLabelSmall = "2%";
var defaultLabelMedium = "5%";
var defaultLabelLarge = "10%";
d3.select("#leftpanel").append("text")
.attr("x", 10)
.attr("y", mdsheight - 10)
.attr('class', "circleGuideTitle")
.style("text-anchor", "left")
.style("fontWeight", "bold")
.text("Marginal topic distribtion");
d3.select("#leftpanel").append("text")
.attr("x", cx2 + 10)
.attr("y", mdsheight + 2 * newSmall)
.attr('class', "circleGuideLabelSmall")
.style("text-anchor", "start")
.text(defaultLabelSmall);
d3.select("#leftpanel").append("text")
.attr("x", cx2 + 10)
.attr("y", mdsheight + 2 * newMedium)
.attr('class', "circleGuideLabelMedium")
.style("text-anchor", "start")
.text(defaultLabelMedium);
d3.select("#leftpanel").append("text")
.attr("x", cx2 + 10)
.attr("y", mdsheight + 2 * newLarge)
.attr('class', "circleGuideLabelLarge")
.style("text-anchor", "start")
.text(defaultLabelLarge);
// bind mdsData to the points in the left panel:
var points = mdsplot.selectAll("points")
.data(mdsData)
.enter();
// text to indicate topic
points.append("text")
.attr("class", "txt")
.attr("x", function(d) {
return (xScale(+d.x));
})
.attr("y", function(d) {
return (yScale(+d.y) + 4);
})
.attr("stroke", "black")
.attr("opacity", 1)
.style("text-anchor", "middle")
.style("font-size", "11px")
.style("fontWeight", 100)
.text(function(d) {
return d.topics;
});
// draw circles
points.append("circle")
.attr("class", "dot")
.style("opacity", 0.2)
.style("fill", color1)
.attr("r", function(d) {
//return (rScaleMargin(+d.Freq));
return (Math.sqrt((d.Freq/100)*mdswidth*mdsheight*circle_prop/Math.PI));
})
.attr("cx", function(d) {
return (xScale(+d.x));
})
.attr("cy", function(d) {
return (yScale(+d.y));
})
.attr("stroke", "black")
.attr("id", function(d) {
return (topicID + d.topics)
})
.on("mouseover", function(d) {
var old_topic = topicID + vis_state.topic;
if (vis_state.topic > 0 && old_topic != this.id) {
topic_off(document.getElementById(old_topic));
}
topic_on(this);
})
.on("click", function(d) {
// prevent click event defined on the div container from firing
// http://bl.ocks.org/jasondavies/3186840
d3.event.stopPropagation();
var old_topic = topicID + vis_state.topic;
if (vis_state.topic > 0 && old_topic != this.id) {
topic_off(document.getElementById(old_topic));
}
// make sure topic input box value and fragment reflects clicked selection
document.getElementById(topicID).value = vis_state.topic = d.topics;
state_save(true);
topic_on(this);
})
.on("mouseout", function(d) {
if (vis_state.topic != d.topics) topic_off(this);
if (vis_state.topic > 0) topic_on(document.getElementById(topicID + vis_state.topic));
});
svg.append("text")
.text("Intertopic Distance Map (via multidimensional scaling)")
.attr("x", mdswidth/2 + margin.left)
.attr("y", 30)
.style("font-size", "16px")
.style("text-anchor", "middle");
// establish layout and vars for bar chart
var barDefault2 = lamData.filter(function(d) {
return d.Category == "Default"
});
var y = d3.scale.ordinal()
.domain(barDefault2.map(function(d) {
return d.Term;
}))
.rangeRoundBands([0, barheight], 0.15);
var x = d3.scale.linear()
.domain([0, d3.max(barDefault2, function(d) {
return d.Total;
})])
.range([0, barwidth])
.nice();
var yAxis = d3.svg.axis()
.scale(y);
// Add a group for the bar chart
var chart = svg.append("g")
.attr("transform", "translate(" + +(mdswidth + margin.left + termwidth) + "," + 2 * margin.top + ")")
.attr("id", "bar-freqs");
// bar chart legend/guide:
var barguide = {"width": 100, "height": 15};
d3.select("#bar-freqs").append("rect")
.attr("x", 0)
.attr("y", mdsheight + 10)
.attr("height", barguide.height)
.attr("width", barguide.width)
.style("fill", color1)
.attr("opacity", 0.4);
d3.select("#bar-freqs").append("text")
.attr("x", barguide.width + 5)
.attr("y", mdsheight + 10 + barguide.height/2)
.style("dominant-baseline", "middle")
.text("Overall term frequency");
d3.select("#bar-freqs").append("rect")
.attr("x", 0)
.attr("y", mdsheight + 10 + barguide.height + 5)
.attr("height", barguide.height)
.attr("width", barguide.width/2)
.style("fill", color2)
.attr("opacity", 0.8);
d3.select("#bar-freqs").append("text")
.attr("x", barguide.width/2 + 5)
.attr("y", mdsheight + 10 + (3/2)*barguide.height + 5)
.style("dominant-baseline", "middle")
.text("Estimated term frequency within the selected topic");
// footnotes:
d3.select("#bar-freqs")
.append("a")
.attr("xlink:href", "http://vis.stanford.edu/files/2012-Termite-AVI.pdf")
.attr("target", "_blank")
.append("text")
.attr("x", 0)
.attr("y", mdsheight + 10 + (6/2)*barguide.height + 5)
.style("dominant-baseline", "middle")
.text("1. saliency(term w) = frequency(w) * [sum_t p(t | w) * log(p(t | w)/p(t))] for topics t; see Chuang et. al (2012)");
d3.select("#bar-freqs")
.append("a")
.attr("xlink:href", "http://nlp.stanford.edu/events/illvi2014/papers/sievert-illvi2014.pdf")
.attr("target", "_blank")
.append("text")
.attr("x", 0)
.attr("y", mdsheight + 10 + (8/2)*barguide.height + 5)
.style("dominant-baseline", "middle")
.text("2. relevance(term w | topic t) = \u03BB * p(w | t) + (1 - \u03BB) * p(w | t)/p(w); see Sievert & Shirley (2014)");
// Bind 'default' data to 'default' bar chart
var basebars = chart.selectAll(".bar-totals")
.data(barDefault2)
.enter();
// Draw the gray background bars defining the overall frequency of each word
basebars
.append("rect")
.attr("class", "bar-totals")
.attr("x", 0)
.attr("y", function(d) {
return y(d.Term);
})
.attr("height", y.rangeBand())
.attr("width", function(d) {
return x(d.Total);
})
.style("fill", color1)
.attr("opacity", 0.4);
// Add word labels to the side of each bar
basebars
.append("text")
.attr("x", -5)
.attr("class", "terms")
.attr("y", function(d) {
return y(d.Term) + 12;
})
.attr("cursor", "pointer")
.attr("id", function(d) {
return (termID + d.Term)
})
.style("text-anchor", "end") // right align text - use 'middle' for center alignment
.text(function(d) {
return d.Term;
})
.on("mouseover", function() {
term_hover(this);
})
// .on("click", function(d) {
// var old_term = termID + vis_state.term;
// if (vis_state.term != "" && old_term != this.id) {
// term_off(document.getElementById(old_term));
// }
// vis_state.term = d.Term;
// state_save(true);
// term_on(this);
// debugger;
// })
.on("mouseout", function() {
vis_state.term = "";
term_off(this);
state_save(true);
});
var title = chart.append("text")
.attr("x", barwidth/2)
.attr("y", -30)
.attr("class", "bubble-tool") // set class so we can remove it when highlight_off is called
.style("text-anchor", "middle")
.style("font-size", "16px")
.text("Top-" + R + " Most Salient Terms");
title.append("tspan")
.attr("baseline-shift", "super")
.attr("font-size", "12px")
.text("(1)");
// barchart axis adapted from http://bl.ocks.org/mbostock/1166403
var xAxis = d3.svg.axis().scale(x)
.orient("top")
.tickSize(-barheight)
.tickSubdivide(true)
.ticks(6);
chart.attr("class", "xaxis")
.call(xAxis);
// dynamically create the topic and lambda input forms at the top of the page:
function init_forms(topicID, lambdaID, visID) {
// create container div for topic and lambda input:
var inputDiv = document.createElement("div");
inputDiv.setAttribute("id", "top");
inputDiv.setAttribute("style", "width: 1210px"); // to match the width of the main svg element
document.getElementById(visID).appendChild(inputDiv);
// topic input container:
var topicDiv = document.createElement("div");
topicDiv.setAttribute("style", "padding: 5px; background-color: #e8e8e8; display: inline-block; width: " + mdswidth + "px; height: 50px; float: left");
inputDiv.appendChild(topicDiv);
var topicLabel = document.createElement("label");
topicLabel.setAttribute("for", topicID);
topicLabel.setAttribute("style", "font-family: sans-serif; font-size: 14px");
topicLabel.innerHTML = "Selected Topic: <span id='" + topicID + "-value'></span>";
topicDiv.appendChild(topicLabel);
var topicInput = document.createElement("input");
topicInput.setAttribute("style", "width: 50px");
topicInput.type = "text";
topicInput.min = "0";
topicInput.max = K; // assumes the data has already been read in
topicInput.step = "1";
topicInput.value = "0"; // a value of 0 indicates no topic is selected
topicInput.id = topicID;
topicDiv.appendChild(topicInput);
var previous = document.createElement("button");
previous.setAttribute("id", topicDown);
previous.setAttribute("style", "margin-left: 5px");
previous.innerHTML = "Previous Topic";
topicDiv.appendChild(previous);
var next = document.createElement("button");
next.setAttribute("id", topicUp);
next.setAttribute("style", "margin-left: 5px");
next.innerHTML = "Next Topic";
topicDiv.appendChild(next);
var clear = document.createElement("button");
clear.setAttribute("id", topicClear);
clear.setAttribute("style", "margin-left: 5px");
clear.innerHTML = "Clear Topic";
topicDiv.appendChild(clear);
// lambda inputs
//var lambdaDivLeft = 8 + mdswidth + margin.left + termwidth;
var lambdaDivWidth = barwidth;
var lambdaDiv = document.createElement("div");
lambdaDiv.setAttribute("id", "lambdaInput");
lambdaDiv.setAttribute("style", "padding: 5px; background-color: #e8e8e8; display: inline-block; height: 50px; width: " + lambdaDivWidth + "px; float: right; margin-right: 30px");
inputDiv.appendChild(lambdaDiv);
var lambdaZero = document.createElement("div");
lambdaZero.setAttribute("style", "padding: 5px; height: 20px; width: 220px; font-family: sans-serif; float: left");
lambdaZero.setAttribute("id", "lambdaZero");
lambdaDiv.appendChild(lambdaZero);
var xx = d3.select("#lambdaZero")
.append("text")
.attr("x", 0)
.attr("y", 0)
.style("font-size", "14px")
.text("Slide to adjust relevance metric:");
var yy = d3.select("#lambdaZero")
.append("text")
.attr("x", 125)
.attr("y", -5)
.style("font-size", "10px")
.style("position", "absolute")
.text("(2)");
var sliderDiv = document.createElement("div");
sliderDiv.setAttribute("id", "sliderdiv");
sliderDiv.setAttribute("style", "padding: 5px; height: 40px; width: 250px; float: right; margin-top: -5px; margin-right: 10px");
lambdaDiv.appendChild(sliderDiv);
var lambdaInput = document.createElement("input");
lambdaInput.setAttribute("style", "width: 250px; margin-left: 0px; margin-right: 0px");
lambdaInput.type = "range";
lambdaInput.min = 0;
lambdaInput.max = 1;
lambdaInput.step = data['lambda.step'];
lambdaInput.value = vis_state.lambda;
lambdaInput.id = lambdaID;
lambdaInput.setAttribute("list", "ticks"); // to enable automatic ticks (with no labels, see below)
sliderDiv.appendChild(lambdaInput);
var lambdaLabel = document.createElement("label");
lambdaLabel.setAttribute("id", "lamlabel");
lambdaLabel.setAttribute("for", lambdaID);
lambdaLabel.setAttribute("style", "height: 20px; width: 60px; font-family: sans-serif; font-size: 14px; margin-left: 80px");
lambdaLabel.innerHTML = "λ = <span id='" + lambdaID + "-value'>" + vis_state.lambda + "</span>";
lambdaDiv.appendChild(lambdaLabel);
// Create the svg to contain the slider scale:
var scaleContainer = d3.select("#sliderdiv").append("svg")
.attr("width", 250)
.attr("height", 25);
var sliderScale = d3.scale.linear()
.domain([0, 1])
.range([7.5, 242.5]) // trimmed by 7.5px on each side to match the input type=range slider:
.nice();
// adapted from http://bl.ocks.org/mbostock/1166403
var sliderAxis = d3.svg.axis()
.scale(sliderScale)
.orient("bottom")
.tickSize(10)
.tickSubdivide(true)
.ticks(6);
// group to contain the elements of the slider axis:
var sliderAxisGroup = scaleContainer.append("g")
.attr("class", "slideraxis")
.attr("margin-top", "-10px")
.call(sliderAxis);
// Another strategy for tick marks on the slider; simpler, but not labels
// var sliderTicks = document.createElement("datalist");
// sliderTicks.setAttribute("id", "ticks");
// for (var tick = 0; tick <= 10; tick++) {
// var tickOption = document.createElement("option");
// //tickOption.value = tick/10;
// tickOption.innerHTML = tick/10;
// sliderTicks.appendChild(tickOption);
// }
// append the forms to the containers
//lambdaDiv.appendChild(sliderTicks);
}
// function to re-order the bars (gray and red), and terms:
function reorder_bars(increase) {
// grab the bar-chart data for this topic only:
var dat2 = lamData.filter(function(d) {
//return d.Category == "Topic" + Math.min(K, Math.max(0, vis_state.topic)) // fails for negative topic numbers...
return d.Category == "Topic" + vis_state.topic;
});
// define relevance:
for (var i = 0; i < dat2.length; i++) {
dat2[i].relevance = vis_state.lambda * dat2[i].logprob +
(1 - vis_state.lambda) * dat2[i].loglift;
}
// sort by relevance:
dat2.sort(fancysort("relevance"));
// truncate to the top R tokens:
var dat3 = dat2.slice(0, R);
var y = d3.scale.ordinal()
.domain(dat3.map(function(d) {
return d.Term;
}))
.rangeRoundBands([0, barheight], 0.15);
var x = d3.scale.linear()
.domain([0, d3.max(dat3, function(d) {
return d.Total;
})])
.range([0, barwidth])
.nice();
// Change Total Frequency bars
var graybars = d3.select("#bar-freqs")
.selectAll(".bar-totals")
.data(dat3, function(d) {
return d.Term;
});
// Change word labels
var labels = d3.select("#bar-freqs")
.selectAll(".terms")
.data(dat3, function(d) {
return d.Term;
});
// Create red bars (drawn over the gray ones) to signify the frequency under the selected topic
var redbars = d3.select("#bar-freqs")
.selectAll(".overlay")
.data(dat3, function(d) {
return d.Term;
});
// adapted from http://bl.ocks.org/mbostock/1166403
var xAxis = d3.svg.axis().scale(x)
.orient("top")
.tickSize(-barheight)
.tickSubdivide(true)
.ticks(6);
// New axis definition:
var newaxis = d3.selectAll(".xaxis");
// define the new elements to enter:
var graybarsEnter = graybars.enter().append("rect")
.attr("class", "bar-totals")
.attr("x", 0)
.attr("y", function(d) {
return y(d.Term) + barheight + margin.bottom + 2 * rMax;
})
.attr("height", y.rangeBand())
.style("fill", color1)
.attr("opacity", 0.4);
var labelsEnter = labels.enter()
.append("text")
.attr("x", -5)
.attr("class", "terms")
.attr("y", function(d) {
return y(d.Term) + 12 + barheight + margin.bottom + 2 * rMax;
})
.attr("cursor", "pointer")
.style("text-anchor", "end")
.attr("id", function(d) {
return (termID + d.Term)
})
.text(function(d) {
return d.Term;
})
.on("mouseover", function() {
term_hover(this);
})
// .on("click", function(d) {
// var old_term = termID + vis_state.term;
// if (vis_state.term != "" && old_term != this.id) {
// term_off(document.getElementById(old_term));
// }
// vis_state.term = d.Term;
// state_save(true);
// term_on(this);
// })
.on("mouseout", function() {
vis_state.term = "";
term_off(this);
state_save(true);
});
var redbarsEnter = redbars.enter().append("rect")
.attr("class", "overlay")
.attr("x", 0)
.attr("y", function(d) {
return y(d.Term) + barheight + margin.bottom + 2 * rMax;
})
.attr("height", y.rangeBand())
.style("fill", color2)
.attr("opacity", 0.8);
if (increase) {
graybarsEnter
.attr("width", function(d) {
return x(d.Total);
})
.transition().duration(duration)
.delay(duration)
.attr("y", function(d) {
return y(d.Term);
});
labelsEnter
.transition().duration(duration)
.delay(duration)
.attr("y", function(d) {
return y(d.Term) + 12;
});
redbarsEnter
.attr("width", function(d) {
return x(d.Freq);
})
.transition().duration(duration)
.delay(duration)
.attr("y", function(d) {
return y(d.Term);
});
graybars.transition().duration(duration)
.attr("width", function(d) {
return x(d.Total);
})
.transition().duration(duration)
.attr("y", function(d) {
return y(d.Term);
});
labels.transition().duration(duration)
.delay(duration)
.attr("y", function(d) {
return y(d.Term) + 12;
});
redbars.transition().duration(duration)
.attr("width", function(d) {
return x(d.Freq);
})
.transition().duration(duration)
.attr("y", function(d) {
return y(d.Term);
});
// Transition exiting rectangles to the bottom of the barchart:
graybars.exit()
.transition().duration(duration)
.attr("width", function(d) {
return x(d.Total);
})
.transition().duration(duration)
.attr("y", function(d, i) {
return barheight + margin.bottom + 6 + i * 18;
})
.remove();
labels.exit()
.transition().duration(duration)
.delay(duration)
.attr("y", function(d, i) {
return barheight + margin.bottom + 18 + i * 18;
})
.remove();
redbars.exit()
.transition().duration(duration)
.attr("width", function(d) {
return x(d.Freq);
})
.transition().duration(duration)
.attr("y", function(d, i) {
return barheight + margin.bottom + 6 + i * 18;
})
.remove();
// https://github.com/mbostock/d3/wiki/Transitions#wiki-d3_ease
newaxis.transition().duration(duration)
.call(xAxis)
.transition().duration(duration);
} else {
graybarsEnter
.attr("width", 100) // FIXME by looking up old width of these bars
.transition().duration(duration)
.attr("y", function(d) {
return y(d.Term);
})
.transition().duration(duration)
.attr("width", function(d) {
return x(d.Total);
});
labelsEnter
.transition().duration(duration)
.attr("y", function(d) {
return y(d.Term) + 12;
});
redbarsEnter
.attr("width", 50) // FIXME by looking up old width of these bars
.transition().duration(duration)
.attr("y", function(d) {
return y(d.Term);
})
.transition().duration(duration)
.attr("width", function(d) {
return x(d.Freq);
});
graybars.transition().duration(duration)
.attr("y", function(d) {
return y(d.Term);
})
.transition().duration(duration)
.attr("width", function(d) {
return x(d.Total);
});
labels.transition().duration(duration)
.attr("y", function(d) {
return y(d.Term) + 12;
});
redbars.transition().duration(duration)
.attr("y", function(d) {
return y(d.Term);
})
.transition().duration(duration)
.attr("width", function(d) {
return x(d.Freq);
});
// Transition exiting rectangles to the bottom of the barchart:
graybars.exit()
.transition().duration(duration)
.attr("y", function(d, i) {
return barheight + margin.bottom + 6 + i * 18 + 2 * rMax;
})
.remove();
labels.exit()
.transition().duration(duration)
.attr("y", function(d, i) {
return barheight + margin.bottom + 18 + i * 18 + 2 * rMax;
})
.remove();
redbars.exit()
.transition().duration(duration)
.attr("y", function(d, i) {
return barheight + margin.bottom + 6 + i * 18 + 2 * rMax;
})
.remove();
// https://github.com/mbostock/d3/wiki/Transitions#wiki-d3_ease
newaxis.transition().duration(duration)
.transition().duration(duration)
.call(xAxis);
}
}
//////////////////////////////////////////////////////////////////////////////
// function to update bar chart when a topic is selected
// the circle argument should be the appropriate circle element
function topic_on(circle) {
if (circle == null) return null;
// grab data bound to this element
var d = circle.__data__
var Freq = Math.round(d.Freq * 10) / 10,
topics = d.topics;
// change opacity and fill of the selected circle