forked from mbostock's block: heat_students
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heat_students
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license: gpl-3.0 |
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k_rank_cond_parq5 | k_rank_cond_parq4 | k_rank_cond_parq3 | k_rank_cond_parq2 | k_rank_cond_parq1 | |
---|---|---|---|---|---|
0.8105 | 0.7827 | 0.7177 | 0.7353 | 0.9155 | |
0.8084 | 0.7002 | 0.7995 | 0.7820 | 0.8671 | |
0.7859 | 0.7905 | 0.7296 | 0.7388 | 0.7257 | |
0.7880 | 0.7596 | 0.7136 | 0.7641 | 0.7360 | |
0.7578 | 0.7538 | 0.7306 | 0.6988 | 0.7403 | |
0.7528 | 0.7650 | 0.6962 | 0.6676 | 0.7909 | |
0.7490 | 0.7324 | 0.7259 | 0.7172 | 0.6991 | |
0.7441 | 0.7224 | 0.7162 | 0.7129 | 0.7006 | |
0.7405 | 0.7179 | 0.7347 | 0.7163 | 0.6909 | |
0.7407 | 0.7134 | 0.7118 | 0.7098 | 0.6939 | |
0.7320 | 0.7185 | 0.7197 | 0.6990 | 0.6985 | |
0.7173 | 0.6992 | 0.7099 | 0.6747 | 0.7071 | |
0.7072 | 0.7149 | 0.7155 | 0.6861 | 0.6925 | |
0.7191 | 0.7230 | 0.6909 | 0.6940 | 0.6865 | |
0.7032 | 0.7187 | 0.6900 | 0.6842 | 0.6757 | |
0.7022 | 0.6923 | 0.6720 | 0.6810 | 0.6742 | |
0.7382 | 0.7039 | 0.6685 | 0.6962 | 0.6281 | |
0.7151 | 0.7100 | 0.6720 | 0.6711 | 0.6701 | |
0.6839 | 0.7029 | 0.6856 | 0.6988 | 0.6581 | |
0.6938 | 0.7073 | 0.6805 | 0.6880 | 0.6479 | |
0.6935 | 0.6944 | 0.7015 | 0.6643 | 0.6661 | |
0.6850 | 0.7087 | 0.6980 | 0.6707 | 0.6532 | |
0.6898 | 0.6768 | 0.6698 | 0.6733 | 0.6400 | |
0.6705 | 0.6642 | 0.6956 | 0.6822 | 0.6529 | |
0.6803 | 0.6677 | 0.6598 | 0.6415 | 0.6414 | |
0.6944 | 0.6785 | 0.6195 | 0.6458 | 0.6384 | |
0.6641 | 0.6830 | 0.6794 | 0.6208 | 0.6553 | |
0.6407 | 0.6786 | 0.6703 | 0.6205 | 0.6492 | |
0.6611 | 0.6591 | 0.6423 | 0.6381 | 0.6429 | |
0.6590 | 0.6573 | 0.6557 | 0.6250 | 0.6237 | |
0.6505 | 0.6232 | 0.6758 | 0.6349 | 0.6146 | |
0.6635 | 0.6789 | 0.6828 | 0.6165 | 0.5683 | |
0.6401 | 0.6289 | 0.6547 | 0.6875 | 0.6093 | |
0.6559 | 0.6441 | 0.6315 | 0.6342 | 0.6310 | |
0.6535 | 0.6579 | 0.5973 | 0.6433 | 0.6460 | |
0.6850 | 0.6359 | 0.6357 | 0.5974 | 0.6046 | |
0.6698 | 0.6152 | 0.6210 | 0.6018 | 0.6446 | |
0.6447 | 0.6349 | 0.6038 | 0.6172 | 0.6061 | |
0.6519 | 0.6639 | 0.6003 | 0.6513 | 0.5880 | |
0.6359 | 0.6414 | 0.6302 | 0.6323 | 0.6113 | |
0.6326 | 0.6317 | 0.6071 | 0.6180 | 0.6395 | |
0.6362 | 0.6422 | 0.6257 | 0.6142 | 0.6168 | |
0.6354 | 0.6409 | 0.6170 | 0.6138 | 0.6067 | |
0.6612 | 0.6383 | 0.6155 | 0.6050 | 0.5865 | |
0.6241 | 0.6631 | 0.6118 | 0.6130 | 0.5797 | |
0.6545 | 0.6234 | 0.6197 | 0.5886 | 0.6304 | |
0.5961 | 0.6760 | 0.5942 | 0.6712 | 0.5819 | |
0.6310 | 0.6398 | 0.6330 | 0.6294 | 0.5683 | |
0.6463 | 0.6461 | 0.6371 | 0.5477 | 0.6049 | |
0.6272 | 0.6259 | 0.6144 | 0.6078 | 0.6082 | |
0.6438 | 0.5787 | 0.5935 | 0.6602 | 0.6058 | |
0.6233 | 0.6247 | 0.6163 | 0.5749 | 0.6540 | |
0.6493 | 0.6266 | 0.6139 | 0.5765 | 0.5946 | |
0.5530 | 0.6094 | 0.6150 | 0.6624 | 0.5818 | |
0.6106 | 0.6683 | 0.5646 | 0.5592 | 0.6556 | |
0.6454 | 0.6350 | 0.6137 | 0.5998 | 0.5566 | |
0.5707 | 0.5783 | 0.5694 | 0.7042 | 0.6370 | |
0.6244 | 0.6607 | 0.6672 | 0.5052 | 0.5846 | |
0.6184 | 0.6072 | 0.6196 | 0.6094 | 0.5653 | |
0.6181 | 0.6038 | 0.5792 | 0.5761 | 0.6294 | |
0.5751 | 0.5818 | 0.5874 | 0.6770 | 0.5823 | |
0.6427 | 0.6298 | 0.6059 | 0.5225 | 0.5772 | |
0.6009 | 0.5950 | 0.5966 | 0.6079 | 0.5724 | |
0.6028 | 0.5662 | 0.5632 | 0.5923 | 0.6374 | |
0.5866 | 0.5656 | 0.5939 | 0.5920 | 0.5743 | |
0.6074 | 0.5988 | 0.5585 | 0.5399 | 0.5689 | |
0.6109 | 0.5951 | 0.5651 | 0.5388 | 0.5315 | |
0.5885 | 0.5666 | 0.5511 | 0.5486 | 0.5669 | |
0.5625 | 0.5442 | 0.5659 | 0.6151 | 0.5027 | |
0.5956 | 0.5400 | 0.5670 | 0.5191 | 0.5209 | |
0.5449 | 0.5916 | 0.5661 | 0.5325 | 0.4986 | |
0.5712 | 0.5602 | 0.5507 | 0.5216 | 0.5145 | |
0.5778 | 0.5567 | 0.5464 | 0.5277 | 0.5068 | |
0.5814 | 0.5641 | 0.5522 | 0.5078 | 0.4994 | |
0.5755 | 0.5653 | 0.5517 | 0.5229 | 0.4855 | |
0.5649 | 0.5604 | 0.5522 | 0.5262 | 0.5100 | |
0.5893 | 0.5697 | 0.5389 | 0.5274 | 0.4760 | |
0.5522 | 0.5510 | 0.5510 | 0.5281 | 0.5162 | |
0.5549 | 0.5523 | 0.5327 | 0.5443 | 0.5090 | |
0.6298 | 0.4540 | 0.5840 | 0.4910 | 0.4871 | |
0.5476 | 0.5654 | 0.5447 | 0.5006 | 0.5176 | |
0.5224 | 0.5327 | 0.5391 | 0.5265 | 0.5178 | |
0.5680 | 0.5405 | 0.5468 | 0.5088 | 0.4960 | |
0.5783 | 0.5415 | 0.5368 | 0.5023 | 0.4769 | |
0.5648 | 0.5427 | 0.5545 | 0.4671 | 0.5080 | |
0.5568 | 0.5391 | 0.5339 | 0.5096 | 0.4885 | |
0.5578 | 0.5489 | 0.5147 | 0.5080 | 0.4943 | |
0.5689 | 0.5456 | 0.5292 | 0.5032 | 0.4732 | |
0.5426 | 0.5477 | 0.5236 | 0.5109 | 0.4975 | |
0.5643 | 0.5475 | 0.5208 | 0.5058 | 0.4797 | |
0.5492 | 0.5341 | 0.5230 | 0.5180 | 0.4908 | |
0.5573 | 0.5321 | 0.5246 | 0.5126 | 0.4858 | |
0.5452 | 0.5398 | 0.5336 | 0.5108 | 0.4856 | |
0.5589 | 0.5392 | 0.5315 | 0.5033 | 0.4787 | |
0.5396 | 0.5178 | 0.5049 | 0.5498 | 0.5098 | |
0.5998 | 0.5168 | 0.4976 | 0.5290 | 0.4595 | |
0.5461 | 0.5317 | 0.5256 | 0.5165 | 0.4834 | |
0.5589 | 0.5369 | 0.5192 | 0.4947 | 0.4903 | |
0.5622 | 0.5451 | 0.5116 | 0.4900 | 0.4851 | |
0.5398 | 0.5314 | 0.5131 | 0.5047 | 0.4949 | |
0.5517 | 0.5321 | 0.5213 | 0.5031 | 0.4849 | |
0.5258 | 0.5229 | 0.5177 | 0.5006 | 0.5033 | |
0.5593 | 0.5283 | 0.5194 | 0.4998 | 0.4787 | |
0.5157 | 0.5256 | 0.5182 | 0.5037 | 0.5058 | |
0.5387 | 0.5339 | 0.5163 | 0.5214 | 0.4659 | |
0.5162 | 0.5274 | 0.5156 | 0.4995 | 0.5217 | |
0.5484 | 0.5289 | 0.4967 | 0.5098 | 0.4841 | |
0.5560 | 0.5423 | 0.5137 | 0.4989 | 0.4580 | |
0.5508 | 0.5394 | 0.5031 | 0.4922 | 0.4805 | |
0.5233 | 0.5223 | 0.5143 | 0.5061 | 0.4864 | |
0.5592 | 0.5282 | 0.4944 | 0.4959 | 0.4811 | |
0.5434 | 0.5283 | 0.5126 | 0.5043 | 0.4673 | |
0.5489 | 0.5145 | 0.5343 | 0.4964 | 0.4547 | |
0.5266 | 0.5330 | 0.5054 | 0.5018 | 0.4799 | |
0.5516 | 0.5217 | 0.5220 | 0.4840 | 0.4613 | |
0.5435 | 0.5203 | 0.5106 | 0.4858 | 0.4793 | |
0.5369 | 0.5138 | 0.5047 | 0.4966 | 0.4818 | |
0.5473 | 0.5319 | 0.5109 | 0.4908 | 0.4559 | |
0.5002 | 0.5634 | 0.4810 | 0.5108 | 0.4816 | |
0.5655 | 0.5257 | 0.4968 | 0.4812 | 0.4808 | |
0.5350 | 0.5176 | 0.5076 | 0.5045 | 0.4633 | |
0.5195 | 0.5097 | 0.5246 | 0.4972 | 0.4666 | |
0.5102 | 0.5335 | 0.5164 | 0.4859 | 0.4898 | |
0.5227 | 0.5169 | 0.5090 | 0.5005 | 0.4738 | |
0.5304 | 0.5253 | 0.5004 | 0.4989 | 0.4703 | |
0.5190 | 0.5016 | 0.4915 | 0.4831 | 0.5117 | |
0.5346 | 0.5065 | 0.5058 | 0.4920 | 0.4712 | |
0.5138 | 0.5208 | 0.5205 | 0.5574 | 0.4001 | |
0.5063 | 0.4826 | 0.4412 | 0.5120 | 0.5657 | |
0.5244 | 0.5420 | 0.5080 | 0.4484 | 0.4861 | |
0.5395 | 0.4831 | 0.5295 | 0.4884 | 0.4483 | |
0.5318 | 0.5117 | 0.5689 | 0.4478 | 0.4199 | |
0.5471 | 0.5263 | 0.5462 | 0.4713 | 0.3989 | |
0.5547 | 0.5988 | 0.4515 | 0.4045 | 0.4883 | |
0.5327 | 0.5321 | 0.4932 | 0.4870 | 0.4366 | |
0.5507 | 0.5302 | 0.4954 | 0.4665 | 0.4273 | |
0.5148 | 0.5110 | 0.4922 | 0.4825 | 0.4701 | |
0.6054 | 0.4848 | 0.4877 | 0.4604 | 0.4565 | |
0.5365 | 0.5249 | 0.4960 | 0.4616 | 0.4490 | |
0.5254 | 0.5082 | 0.4996 | 0.4938 | 0.4434 | |
0.5370 | 0.4963 | 0.5029 | 0.4811 | 0.4445 | |
0.5536 | 0.5142 | 0.4887 | 0.4728 | 0.4253 | |
0.5153 | 0.5210 | 0.4853 | 0.4870 | 0.4392 | |
0.5459 | 0.4985 | 0.4656 | 0.5265 | 0.3971 | |
0.5198 | 0.5062 | 0.5040 | 0.4720 | 0.4399 | |
0.5361 | 0.5112 | 0.4926 | 0.4683 | 0.4355 | |
0.5288 | 0.5228 | 0.4934 | 0.4795 | 0.4107 | |
0.5233 | 0.5021 | 0.4925 | 0.4706 | 0.4408 | |
0.5218 | 0.5204 | 0.4691 | 0.4722 | 0.4398 | |
0.5075 | 0.4899 | 0.4759 | 0.4665 | 0.4456 | |
0.4448 | 0.5635 | 0.5028 | 0.4255 | 0.4339 | |
0.5339 | 0.4864 | 0.4562 | 0.4508 | 0.4325 | |
0.5541 | 0.4325 | 0.4445 | 0.4690 | 0.4443 | |
0.5459 | 0.4716 | 0.4350 | 0.4575 | 0.4414 | |
0.5272 | 0.5059 | 0.4734 | 0.4475 | 0.3779 | |
0.4779 | 0.4784 | 0.4849 | 0.4680 | 0.4178 | |
0.4861 | 0.4808 | 0.4792 | 0.4046 | 0.4271 | |
0.4954 | 0.4969 | 0.4897 | 0.3736 | 0.4138 | |
0.5297 | 0.4693 | 0.4436 | 0.4201 | 0.3836 | |
0.4755 | 0.4767 | 0.4481 | 0.4233 | 0.3792 | |
0.4578 | 0.4829 | 0.4312 | 0.4207 | 0.3809 | |
0.4199 | 0.4512 | 0.3940 | 0.4629 | 0.4007 | |
0.4593 | 0.3975 | 0.4670 | 0.4165 | 0.3859 | |
0.4462 | 0.4102 | 0.4236 | 0.4198 | 0.4085 | |
0.6282 | 0.3004 | 0.3528 | 0.3822 | 0.3844 | |
0.3054 | 0.4590 | 0.3781 | 0.3874 | 0.3259 | |
0.4125 | 0.3275 | 0.3500 | 0.3961 | 0.3178 | |
0.3409 | 0.3317 | 0.3403 | 0.3418 | 0.3452 |
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<!DOCTYPE html> | |
<meta charset="utf-8"> | |
<style> | |
body { | |
font: 10px sans-serif; | |
} | |
.label { | |
font-weight: bold; | |
} | |
.tile { | |
shape-rendering: crispEdges; | |
} | |
.axis path, | |
.axis line { | |
fill: none; | |
stroke: #000; | |
shape-rendering: crispEdges; | |
} | |
</style> | |
<body> | |
<script src="//d3js.org/d3.v3.min.js"></script> | |
<script> | |
var margin = {top: 20, right: 90, bottom: 30, left: 50}, | |
width = 960 - margin.left - margin.right, | |
height = 500 - margin.top - margin.bottom; | |
var parseDate = d3.time.format("%Y-%m-%d").parse, | |
formatDate = d3.time.format("%b %d"); | |
var x = d3.time.scale().range([0, width]), | |
y = d3.scale.linear().range([height, 0]), | |
z = d3.scale.linear().range(["white", "steelblue"]); | |
// The size of the buckets in the CSV data file. | |
// This could be inferred from the data if it weren't sparse. | |
var xStep = 864e5, | |
yStep = 100; | |
var svg = d3.select("body").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 + ")"); | |
d3.csv("data.csv", function(error, buckets) { | |
if (error) throw error; | |
// Coerce the CSV data to the appropriate types. | |
buckets.forEach(function(d) { | |
d.k_rank_cond_parq5 = +d.k_rank_cond_parq5; | |
d.k_rank_cond_parq4 = d.k_rank_cond_parq4 ; | |
d.k_rank_cond_parq3 = d.k_rank_cond_parq3; | |
d.k_rank_cond_parq2 = d.k_rank_cond_parq2; | |
d.k_rank_cond_parq1 = d.k_rank_cond_parq1; | |
}); | |
// Compute the scale domains. | |
x.domain(d3.extent(buckets, function(d) { return d.date; })); | |
y.domain(d3.extent(buckets, function(d) { return d.bucket; })); | |
z.domain([0, 1]); | |
// Extend the x- and y-domain to fit the last bucket. | |
// For example, the y-bucket 3200 corresponds to values [3200, 3300]. | |
x.domain([x.domain()[0], +x.domain()[1] + xStep]); | |
y.domain([y.domain()[0], y.domain()[1] + yStep]); | |
// Display the tiles for each non-zero bucket. | |
// See http://bl.ocks.org/3074470 for an alternative implementation. | |
svg.selectAll(".tile") | |
.data(buckets) | |
.enter().append("rect") | |
.attr("class", "tile") | |
.attr("x", function(d) { return x(d.date); }) | |
.attr("y", function(d) { return y(d.bucket + yStep); }) | |
.attr("width", x(xStep) - x(0)) | |
.attr("height", y(0) - y(yStep)) | |
.style("fill", function(d) { return z(d.count); }); | |
// Add a legend for the color values. | |
var legend = svg.selectAll(".legend") | |
.data(z.ticks(6).slice(1).reverse()) | |
.enter().append("g") | |
.attr("class", "legend") | |
.attr("transform", function(d, i) { return "translate(" + (width + 20) + "," + (20 + i * 20) + ")"; }); | |
legend.append("rect") | |
.attr("width", 20) | |
.attr("height", 20) | |
.style("fill", z); | |
legend.append("text") | |
.attr("x", 26) | |
.attr("y", 10) | |
.attr("dy", ".35em") | |
.text(String); | |
svg.append("text") | |
.attr("class", "label") | |
.attr("x", width + 20) | |
.attr("y", 10) | |
.attr("dy", ".35em") | |
.text("Count"); | |
// Add an x-axis with label. | |
svg.append("g") | |
.attr("class", "x axis") | |
.attr("transform", "translate(0," + height + ")") | |
.call(d3.svg.axis().scale(x).ticks(d3.time.days).tickFormat(formatDate).orient("bottom")) | |
.append("text") | |
.attr("class", "label") | |
.attr("x", width) | |
.attr("y", -6) | |
.attr("text-anchor", "end") | |
.text("Date"); | |
// Add a y-axis with label. | |
svg.append("g") | |
.attr("class", "y axis") | |
.call(d3.svg.axis().scale(y).orient("left")) | |
.append("text") | |
.attr("class", "label") | |
.attr("y", 6) | |
.attr("dy", ".71em") | |
.attr("text-anchor", "end") | |
.attr("transform", "rotate(-90)") | |
.text("Value"); | |
}); | |
</script> |
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