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Climate Change Topic Modeling Topic 2
Raw
index.html
<!DOCTYPE html>
<html lang='en'>
<head>
<meta charset="utf-8">
<title> Climate Streamplot - Topic 2</title>
<script src="http://d3js.org/d3.v3.js"></script>
<style type = 'text/css'>
body {
font-family: "Palatino Linotype", "Book Antiqua", Palatino, serif;
background-color: white;
padding: 50px;
}
h1 {
font-size: 28px;
position: relative;
left: 100;
color: #525252;
}
h2 {
font-size: 20px;
position: relative;
left: 100;
color: darkgrey;
}
.chart {
background: #fff;
}
p {
font-family: "Palatino Linotype", "Book Antiqua", Palatino, serif;
font-size: 18px;
margin: 10px 0 0 50px;
}
.tooltip {
font-family: "Palatino Linotype", "Book Antiqua", Palatino, serif;
}
.axis path, .axis line {
fill: none;
stroke: #000;
stroke-width: 2px;
shape-rendering: crispEdges;
}
button {
position: absolute;
right: 50px;
top: 10px;
}
</style>
</head>
<body>
<h2 style="margin-left:3em;">Climate Change Topic Streamplot</h2>
<h1 style="margin-left:2em;">Topic 2 - Federal / Washington / President </h1>
<p > Using articles from the NY Times and Dynamic Topic Modelling to assess how the discussion of 'climate change' and 'global warming' have changed over time. </p>
<div class="chart"></div>
<script type = 'text/javascript'>
chart("topic2_stream_R.csv", "reds");
var datearray = [];
var colorrange = [];
function chart(csvpath, color) {
if (color == "blue") {
colorrange = ['#00441b','#006d2c','#238b45','#41ae76','#66c2a4','#99d8c9','#e5f5f9','#ccece6'];
}
else if (color == "pink") {
colorrange = ["#980043", "#DD1C77", "#DF65B0", "#C994C7", "#D4B9DA", "#F1EEF6"];
}
else if (color == "BlYlGr") {
colorrange = ["#081d58","#253494","#225ea8","#1d91c0","#41b6c4","#7fcdbb","#c7e9b4"];
}
else if (color == "YlGr") {
colorrange = ["#004529","#006837","#238443","#41ab5d","#78c679","#addd8e","#d9f0a3","#f7fcb9"]
}
else if (color == "reds") {
colorrange = ["#67000d","#a50f15","#cb181d","#ef3b2c","#fb6a4a","#fc9272","#fcbba1","#fee0d2"]
}
strokecolor = colorrange[0];
var format = d3.time.format("%Y");
var margin = {top: 20, right: 100, bottom: 30, left: 100};
var width = document.body.clientWidth - margin.left - margin.right;
var height = 400 - margin.top - margin.bottom;
var tooltip = d3.select("body")
.append("div")
.attr("class", "remove")
.style("position", "absolute")
.style("z-index", "20")
.style("visibility", "hidden")
.style("top", "625px")
.style("left", "180px");
var x = d3.time.scale()
.range([0, width]);
var y = d3.scale.linear()
.range([height-10, 2]);
var z = d3.scale.ordinal()
.range(colorrange);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.ticks(d3.time.twoyears);
var yAxis = d3.svg.axis()
.scale(y);
var yAxisr = d3.svg.axis()
.scale(y);
var stack = d3.layout.stack()
.offset("silhouette")
.values(function(d) { return d.values; })
.x(function(d) { return d.date; })
.y(function(d) { return d.value; });
var nest = d3.nest()
.key(function(d) { return d.key; });
var area = d3.svg.area()
.interpolate("cardinal")
.x(function(d) { return x(d.date); })
.y0(function(d) { return y(d.y0); })
.y1(function(d) { return y(d.y0 + d.y); });
var svg = d3.select(".chart").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var graph = d3.csv(csvpath, function(data) {
data.forEach(function(d) {
d.date = format.parse(d.date);
d.value = +d.value;
});
var layers = stack(nest.entries(data));
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([0, d3.max(data, function(d) { return d.y0 + d.y; })]);
svg.selectAll(".layer")
.data(layers)
.enter().append("path")
.attr("class", "layer")
.attr("d", function(d) { return area(d.values); })
.style("fill", function(d, i) { return z(i); });
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate(" + width + ", 0)")
.call(yAxis.orient("right"));
svg.append("g")
.attr("class", "y axis")
.call(yAxis.orient("left"))
.append("text")
.attr("transform", "rotate(-90)")
.attr("y",-margin.top*3.3) //bigger mulitplier moves to the left
.attr("x",-height/2) //smaller divider moves up
.attr("dy", ".71em")
.style("text-anchor", "middle")
.text("Probaility of Word | Topic")
.attr("font-family","serif")
.attr("font-size","16px");;
svg.selectAll(".layer")
.attr("opacity", 1)
.on("mouseover", function(d, i) {
svg.selectAll(".layer").transition()
.duration(250)
.attr("opacity", function(d, j) {
return j != i ? 0.6 : 1;
})})
.on("mousemove", function(d, i) {
mousex = d3.mouse(this);
mousex = mousex[0];
var invertedx = x.invert(mousex);
invertedx = invertedx.getYear() ;
var selected = (d.values);
for (var k = 0; k < selected.length; k++) {
datearray[k] = selected[k].date
datearray[k] = datearray[k].getYear() ;
}
var tooltips = d3.select('svg').append('g');
mousedate = datearray.indexOf(invertedx);
pro = d.values[mousedate].value;
d3.select(this)
.classed("hover", true)
.attr("stroke", strokecolor)
.attr("stroke-width", "1.5px"),
tooltip.html( "<p>" + d.key + "<br>" + pro + "</p>" ).style("visibility", "visible");
})
.on("mouseout", function(d, i) {
svg.selectAll(".layer")
.transition()
.duration(250)
.attr("opacity", "1");
d3.select(this)
.classed("hover", false)
.attr("stroke-width", "0px"),
tooltip.html( "<p>" + d.key + "<br>" + pro + "</p>" ).style("visibility", "hidden");
})
.on("click", function(d, i) {
svg.selectAll(".layer").transition()
.duration(250)
.attr("opacity", function(d, j) {
return j != i ? 0.6 : 1;
});
})
// .on("click", function(d, i) {
// d3.select(this)
// .transition()
// .duration(250)
// .style('fill', function(d, i) {
// if(this.style.fill = 'red') {
// return z(this);
// } else {
// return 'red';
// } });
// });
var vertical = d3.select(".chart")
.append("div")
.attr("class", "remove")
.style("position", "absolute")
.style("z-index", "19")
.style("width", "1px")
.style("height", "350px")
.style("top", "230px")
.style("bottom", "30px")
.style("left", "0px")
.style("background", "#fff");
d3.select(".chart")
.on("mousemove", function(){
mousex = d3.mouse(this);
mousex = mousex[0] + 5;
vertical.style("left", (mousex+50) + "px" )})
.on("mouseover", function(){
mousex = d3.mouse(this);
mousex = mousex[0] + 5;
vertical.style("left", (mousex+50) + "px")});
});
}
</script>
<br>
<br>
<p align = "right", style="font-size:93%;"><a style="color:#969696;", href=http://bl.ocks.org/WillTurman/4631136/>Inspired by http://bl.ocks.org/WillTurman/4631136</a></p>
<p align = "right", style="font-size:93%;"><a style="color:#969696;", href=http://bl.ocks.org/natemiller/raw/c4eb3447995fe311063821e5c2bb2864/>Topic #3</a></p>
</body>
</html>
Raw
topic2_stream_R.csv
key date value
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2 administration 1989 0.010107549
3 administration 1990 0.010571697
4 administration 1991 0.011175955
5 administration 1992 0.011628822
6 administration 1993 0.011824018
7 administration 1994 0.011768758
8 administration 1995 0.011517221
9 administration 1996 0.011250642
10 administration 1997 0.011160104
11 administration 1998 0.011332483
12 administration 1999 0.011730766
13 administration 2000 0.01228547
14 administration 2001 0.012827181
15 administration 2002 0.012858451
16 administration 2003 0.012418343
17 administration 2004 0.011246696
18 administration 2005 0.009574588
19 administration 2006 0.007940998
20 administration 2007 0.006684437
21 administration 2008 0.005966164
22 administration 2009 0.005587462
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24 administration 2011 0.005024602
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29 administration 2016 0
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32 air 1990 0.011487184
33 air 1991 0.010793556
34 air 1992 0.010329786
35 air 1993 0.00988277
36 air 1994 0.009438983
37 air 1995 0.009065869
38 air 1996 0.008738945
39 air 1997 0.008282642
40 air 1998 0.007952452
41 air 1999 0.007755417
42 air 2000 0.007525328
43 air 2001 0.007313182
44 air 2002 0.007107133
45 air 2003 0.006733312
46 air 2004 0.006257789
47 air 2005 0.005654267
48 air 2006 0.004906689
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64 bush 1993 0.009527677
65 bush 1994 0.009136711
66 bush 1995 0.008816136
67 bush 1996 0.008685833
68 bush 1997 0.008822249
69 bush 1998 0.00946611
70 bush 1999 0.010672519
71 bush 2000 0.012627244
72 bush 2001 0.014645432
73 bush 2002 0.015158604
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75 bush 2004 0.011562871
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86 bush 2015 0
87 bush 2016 0
88 carbon 1988 0
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91 carbon 1991 0
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108 carbon 2008 0.005225378
109 carbon 2009 0.005351225
110 carbon 2010 0.005022099
111 carbon 2011 0
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116 carbon 2016 0
117 change 1988 0
118 change 1989 0
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121 change 1992 0
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128 change 1999 0
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130 change 2001 0
131 change 2002 0
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139 change 2010 0
140 change 2011 0
141 change 2012 0.004944009
142 change 2013 0.005743921
143 change 2014 0.006649589
144 change 2015 0.007347469
145 change 2016 0.007511509
146 clean 1988 0.007598798
147 clean 1989 0.007469313
148 clean 1990 0.007188126
149 clean 1991 0.006821677
150 clean 1992 0.006484618
151 clean 1993 0.006157904
152 clean 1994 0.005866968
153 clean 1995 0.005620325
154 clean 1996 0.005413733
155 clean 1997 0.005236749
156 clean 1998 0
157 clean 1999 0
158 clean 2000 0
159 clean 2001 0
160 clean 2002 0
161 clean 2003 0
162 clean 2004 0
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165 clean 2007 0
166 clean 2008 0
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173 clean 2015 0
174 clean 2016 0
175 climate 1988 0
176 climate 1989 0
177 climate 1990 0
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179 climate 1992 0
180 climate 1993 0
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196 climate 2009 0.005234771
197 climate 2010 0.005918865
198 climate 2011 0.006460834
199 climate 2012 0.007231906
200 climate 2013 0.008488461
201 climate 2014 0.009871566
202 climate 2015 0.010817305
203 climate 2016 0.010966105
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229 coal 2013 0.010356204
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231 coal 2015 0.011248659
232 coal 2016 0.012827302
233 congress 1988 0
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267 emissions 1993 0.00493981
268 emissions 1994 0.005186263
269 emissions 1995 0.005466572
270 emissions 1996 0.005770954
271 emissions 1997 0.006097363
272 emissions 1998 0.006390209
273 emissions 1999 0.006657742
274 emissions 2000 0.006910437
275 emissions 2001 0.007167173
276 emissions 2002 0.007392613
277 emissions 2003 0.007521298
278 emissions 2004 0.007685153
279 emissions 2005 0.007928942
280 emissions 2006 0.008188954
281 emissions 2007 0.00830499
282 emissions 2008 0.008056674
283 emissions 2009 0.007415436
284 emissions 2010 0.006656223
285 emissions 2011 0.006033736
286 emissions 2012 0.005721755
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290 emissions 2016 0.005874958
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311 energy 2008 0.004725935
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316 energy 2013 0
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319 energy 2016 0
320 environment 1988 0.005067156
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349 environmental 1988 0.016840532
350 environmental 1989 0.016608896
351 environmental 1990 0.016501598
352 environmental 1991 0.01674364
353 environmental 1992 0.017097469
354 environmental 1993 0.017344594
355 environmental 1994 0.01752502
356 environmental 1995 0.017579239
357 environmental 1996 0.017297275
358 environmental 1997 0.016832498
359 environmental 1998 0.016209722
360 environmental 1999 0.015319802
361 environmental 2000 0.01405443
362 environmental 2001 0.012812626
363 environmental 2002 0.011983629
364 environmental 2003 0.011548916
365 environmental 2004 0.01113471
366 environmental 2005 0.010776182
367 environmental 2006 0.01033835
368 environmental 2007 0.009807203
369 environmental 2008 0.009161292
370 environmental 2009 0.008741826
371 environmental 2010 0.008448557
372 environmental 2011 0.008180492
373 environmental 2012 0.00774215
374 environmental 2013 0.007089487
375 environmental 2014 0.006388387
376 environmental 2015 0.005972328
377 environmental 2016 0.005761627
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386 federal 1996 0
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398 federal 2008 0.004813119
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402 federal 2012 0
403 federal 2013 0
404 federal 2014 0
405 federal 2015 0
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407 house 1988 0.006141285
408 house 1989 0.006301595
409 house 1990 0.006482141
410 house 1991 0.006581022
411 house 1992 0.006547991
412 house 1993 0.006456157
413 house 1994 0.006299088
414 house 1995 0.006096003
415 house 1996 0.005845303
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417 house 1998 0.005324187
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491 obama 2014 0.01185138
492 obama 2015 0.012118909
493 obama 2016 0.01195219
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503 plants 1997 0
504 plants 1998 0.005207159
505 plants 1999 0.005450346
506 plants 2000 0.005576166
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509 plants 2003 0.004871669
510 plants 2004 0
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512 plants 2006 0
513 plants 2007 0
514 plants 2008 0
515 plants 2009 0
516 plants 2010 0
517 plants 2011 0
518 plants 2012 0
519 plants 2013 0
520 plants 2014 0
521 plants 2015 0
522 plants 2016 0
523 pollution 1988 0.011956822
524 pollution 1989 0.0115361
525 pollution 1990 0.010867797
526 pollution 1991 0.010198232
527 pollution 1992 0.009700659
528 pollution 1993 0.009331456
529 pollution 1994 0.008989196
530 pollution 1995 0.008675837
531 pollution 1996 0.008377219
532 pollution 1997 0.008049368
533 pollution 1998 0.007731011
534 pollution 1999 0.007378809
535 pollution 2000 0.006952289
536 pollution 2001 0.006538298
537 pollution 2002 0.006116516
538 pollution 2003 0.005552772
539 pollution 2004 0.004979339
540 pollution 2005 0
541 pollution 2006 0
542 pollution 2007 0
543 pollution 2008 0
544 pollution 2009 0
545 pollution 2010 0
546 pollution 2011 0
547 pollution 2012 0
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550 pollution 2015 0
551 pollution 2016 0
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556 power 1992 0
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588 president 1995 0.008753723
589 president 1996 0.008606392
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591 president 1998 0.008328861
592 president 1999 0.008202545
593 president 2000 0.008148438
594 president 2001 0.008063614
595 president 2002 0.007825371
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601 president 2008 0.005414673
602 president 2009 0.005604246
603 president 2010 0.005991708
604 president 2011 0.006493252
605 president 2012 0.007013342
606 president 2013 0.007354746
607 president 2014 0.007281772
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609 president 2016 0.006819964
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626 state 2004 0.00504132
627 state 2005 0.005431069
628 state 2006 0.005817009
629 state 2007 0.006078149
630 state 2008 0.006033056
631 state 2009 0.005886971
632 state 2010 0.005983224
633 state 2011 0.006174432
634 state 2012 0.006516934
635 state 2013 0.007111882
636 state 2014 0.007769059
637 state 2015 0.00782964
638 state 2016 0.007782021
639 states 1988 0
640 states 1989 0
641 states 1990 0
642 states 1991 0
643 states 1992 0
644 states 1993 0
645 states 1994 0
646 states 1995 0
647 states 1996 0
648 states 1997 0
649 states 1998 0
650 states 1999 0
651 states 2000 0
652 states 2001 0
653 states 2002 0
654 states 2003 0
655 states 2004 0
656 states 2005 0
657 states 2006 0
658 states 2007 0
659 states 2008 0
660 states 2009 0
661 states 2010 0
662 states 2011 0.005017289
663 states 2012 0.005508135
664 states 2013 0.006393792
665 states 2014 0.007759819
666 states 2015 0.00877089
667 states 2016 0.009324868
668 white 1988 0
669 white 1989 0
670 white 1990 0
671 white 1991 0.004947725
672 white 1992 0.004934791
673 white 1993 0
674 white 1994 0
675 white 1995 0
676 white 1996 0
677 white 1997 0
678 white 1998 0
679 white 1999 0
680 white 2000 0
681 white 2001 0
682 white 2002 0
683 white 2003 0
684 white 2004 0
685 white 2005 0
686 white 2006 0
687 white 2007 0
688 white 2008 0
689 white 2009 0
690 white 2010 0
691 white 2011 0
692 white 2012 0
693 white 2013 0
694 white 2014 0
695 white 2015 0
696 white 2016 0
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