| license: gpl-3.0 | |
| border: no | |
| height: 960 |
The scatterplot matrix visualizations pairwise correlations for multi-dimensional data; each cell in the matrix is a scatterplot. This example uses Anderson's data of iris flowers on the Gaspé Peninsula. Scatterplot matrix design invented by J. A. Hartigan; see also R and GGobi. Data on Iris flowers collected by Edgar Anderson and published by Ronald Fisher.
See also this version with brushing.
forked from mbostock's block: Scatterplot Matrix
| <!DOCTYPE html> | |
| <meta charset="utf-8"> | |
| <style> | |
| svg { | |
| font: 10px avenir; | |
| padding: 10px; | |
| margin-top: 15px; | |
| margin-bottom:15px; | |
| margin-right:50px; | |
| margin-left:50px; | |
| } | |
| .axis, | |
| .frame { | |
| shape-rendering: crispEdges; | |
| } | |
| .axis line { | |
| stroke: #ddd; | |
| } | |
| .axis path { | |
| display: none; | |
| } | |
| .cell text { | |
| font-weight: bold; | |
| text-transform: capitalize; | |
| font-size: 10px; | |
| } | |
| .frame { | |
| fill: none; | |
| } | |
| circle { | |
| fill-opacity: .7; | |
| } | |
| </style> | |
| <body> | |
| <script src="//d3js.org/d3.v3.min.js"></script> | |
| <script> | |
| var radius = 2; | |
| var width = 800, | |
| size = 110, | |
| padding = 15; | |
| var hidden = [7,14,15,21,22,23,28,29,30,31,35,36,37,38,39,42,43,44,45,46,47]; | |
| var tiers = ["Highly Selective", "Selective", "Non Selective", "Other (Two-year)"]; | |
| var x = d3.scale.linear() | |
| .range([padding / 2, size - padding / 2]); | |
| var y = d3.scale.linear() | |
| .range([size - padding / 2, padding / 2]); | |
| var formatxAxis = d3.format('.0f'); | |
| var xAxis = d3.svg.axis() | |
| .scale(x) | |
| .orient("bottom") | |
| .ticks(4) | |
| .tickFormat(function (d) { | |
| if ((d / 1000) >= 1) { | |
| d = d / 1000 + "K"; | |
| return d; | |
| } | |
| else if (d < 1){ | |
| return formatxAxis(d*100)+"%"; | |
| } | |
| }); | |
| var yAxis = d3.svg.axis() | |
| .scale(y) | |
| .orient("right") | |
| .ticks(4) | |
| .tickFormat(function (d) { | |
| if ((d / 1000) >= 1) { | |
| d = d / 1000 + "K"; | |
| return d; | |
| } | |
| else if (d < 1){ | |
| return formatxAxis(d*100)+"%"; | |
| } | |
| }); | |
| var color_range = ["#1f77b4", "#ff7f0e" , "#2ca02c", "#d62728"] | |
| var color = d3.scale.ordinal() | |
| .range(color_range); | |
| function toNumber(text) { | |
| text = text.trim(); | |
| text = text.replace(/,/, ""); | |
| return +text; | |
| } | |
| d3.csv("scatter.csv", | |
| function(d) { | |
| return { | |
| childRank:+d.k_rank, | |
| parentQuartile5: +d.par_q5, | |
| parentQuartile4:+d.par_q4, | |
| parentQuartile3: +d.par_q3, | |
| parentQuartile2: +d.par_q2, | |
| parentQuartile1: +d.par_q1, | |
| childMedianInc: +d.k_median, | |
| tiername: d.tiername | |
| }; | |
| }, | |
| function(error, data) { | |
| if (error) throw error; | |
| /* | |
| * converts strings (with extra spaces and comma thousands | |
| * separators) to a number | |
| */ | |
| if (error) throw error; | |
| var domainByTrait = {}, | |
| traits = d3.keys(data[0]).filter(function(d) { return d !== "tiername"; }), | |
| n = traits.length; | |
| traits.forEach(function(trait) { | |
| domainByTrait[trait] = d3.extent(data, function(d) { return d[trait]; }); | |
| }); | |
| // xAxis.tickSize(size); | |
| // yAxis.tickSize(-size * n); | |
| var svg = d3.select("body").append("svg") | |
| .attr("width", size * n + padding+120) | |
| .attr("height", size * n + padding+100) | |
| .append("g") | |
| .attr("transform", "translate(" + padding + "," + padding/.5 + ")"); | |
| svg.append("text") | |
| .attr("x", 0) | |
| .attr("y", 120 ) | |
| .attr("text-anchor", "start") | |
| .style("font-size", "40px") | |
| .text("Child Rank Relative to") | |
| // .style('fill', 'darkOrange'); | |
| svg.append("text") | |
| .attr("x", 0) | |
| .attr("y", 120 ) | |
| .attr("dy", "1.2em" ) | |
| .attr("text-anchor", "start") | |
| .style("font-size", "50px") | |
| .text("Parent Income Quartile") | |
| .style('fill', 'darkOrange'); | |
| svg.append("text") | |
| .attr("x", 0) | |
| .attr("y", 120 ) | |
| .attr("dy", "3.5em" ) | |
| .attr("text-anchor", "start") | |
| .style("font-size", "30px") | |
| .text("for Universities in California") | |
| // .style('fill', 'darkOrange'); | |
| svg.selectAll(".x.axis") | |
| .data(traits) | |
| .enter().append("g") | |
| .attr("class", "x axis") | |
| .attr("transform", function(d, i) { return "translate(" + (n - i - 1) * size + ","+size*n+")"; }) | |
| .each(function(d) { x.domain(domainByTrait[d]); d3.select(this).call(xAxis); }); | |
| svg.selectAll(".y.axis") | |
| .data(traits) | |
| .enter().append("g") | |
| .attr("class", "axis") | |
| .attr("transform", function(d, i) { return "translate(770," + i * size + ")"; }) | |
| .each(function(d){ | |
| y.domain(domainByTrait[d]); | |
| d3.select(this).call(yAxis) | |
| }); | |
| var cell = svg.selectAll(".cell") | |
| .data(cross(traits, traits)) | |
| .enter().append("g") | |
| .attr("class", function(d,i){ | |
| // console.log("cell"+i); | |
| return "cell"+i; | |
| }) | |
| .attr("id", function(d,i){ | |
| // console.log("cell"+i); | |
| return "cell"+i; | |
| }) | |
| .attr("transform", function(d) { return "translate(" + (n - d.i - 1) * size + "," + d.j * size + ")"; }) | |
| .each(plot); | |
| // Titles for the diagonal. | |
| cell.filter(function(d) { return d.i === d.j; }).append("text") | |
| .attr("x", padding-5) | |
| .attr("y", padding) | |
| .attr("dy", ".71em") | |
| .text(function(d) { return d.x; }) | |
| .style("font-weight", "bold"); | |
| hide(); | |
| var legend = svg.selectAll(".legend") | |
| .data(color.domain()).enter() | |
| .append("g") | |
| .attr("class","legend") | |
| .attr("transform", "translate(" + 0 + "," + 350+ ")"); | |
| legend.append("rect") | |
| .attr("x", 0) | |
| .attr("y", function(d, i) { return 20 * i; }) | |
| .attr("width", 15) | |
| .attr("height", 15) | |
| .style("fill", function(d,i) { return color_range[i % color_range.length]}) | |
| // console.log(color.domain()) | |
| legend.append("text") | |
| .attr("x", 30) | |
| .attr("dy", "1em") | |
| .attr("y", function(d, i) { return 20 * i; }) | |
| .text(function(d,i) { ; return tiers[i % tiers.length]}) | |
| .attr("font-size", "12px"); | |
| legend.append("text") | |
| .attr("x",0) | |
| .attr("dy", "-.2em") | |
| .attr("y",-10) | |
| .text("School Tier") | |
| .attr("font-size", "17px"); | |
| function plot(p) { | |
| var cell = d3.select(this); | |
| x.domain(domainByTrait[p.x]); | |
| y.domain(domainByTrait[p.y]); | |
| hide(cell); | |
| cell.append("rect") | |
| .attr("class", "frame") | |
| .attr("x", padding / 2) | |
| .attr("y", padding / 2) | |
| .attr("width", size - padding) | |
| .attr("height", size - padding) | |
| .attr('stroke', function(d){ | |
| //grab child rank with all others | |
| if (cell.data()[0]['j'] == 0 & (cell.data()[0]['i'] == 1 || cell.data()[0]['i'] == 2 || cell.data()[0]['i'] == 3 || cell.data()[0]['i'] == 4 || cell.data()[0]['i'] == 5 || cell.data()[0]['i'] == 6)) { | |
| // console.log("yes") | |
| return 'grey'; | |
| } | |
| //grab child median with all others | |
| if (cell.data()[0]['i'] == 6 & (cell.data()[0]['j'] == 1 || cell.data()[0]['j'] == 2 || cell.data()[0]['j'] == 3 || cell.data()[0]['j'] == 4 || cell.data()[0]['j'] == 5 || cell.data()[0]['j'] == 6 )) { | |
| // console.log("yes") | |
| return 'grey'; | |
| } | |
| //GET ACROSS DIAGONAL | |
| //grab child rank with all others | |
| if (cell.data()[0]['j'] == 6 & (cell.data()[0]['i'] == 1 || cell.data()[0]['i'] == 2 || cell.data()[0]['i'] == 3 || cell.data()[0]['i'] == 4 || cell.data()[0]['i'] == 5 || cell.data()[0]['i'] == 0)) { | |
| // console.log("yes") | |
| return 'grey'; | |
| } | |
| //grab child median with all others | |
| if (cell.data()[0]['i'] == 0 & (cell.data()[0]['j'] == 1 || cell.data()[0]['j'] == 2 || cell.data()[0]['j'] == 3 || cell.data()[0]['j'] == 4 || cell.data()[0]['j'] == 5 || cell.data()[0]['j'] == 0 )) { | |
| return 'grey'; | |
| } | |
| else{ | |
| return '#aaa'; | |
| }}) | |
| //CHANGE COLOR STROKE | |
| .attr('stroke-width', function(d){ | |
| if (cell.data()[0]['j'] == 0 & (cell.data()[0]['i'] == 1 || cell.data()[0]['i'] == 2 || cell.data()[0]['i'] == 3 || cell.data()[0]['i'] == 4 || cell.data()[0]['i'] == 5 || cell.data()[0]['i'] == 6)) { | |
| // | |
| return '2.5px'; | |
| } | |
| //grab child median with all others | |
| if (cell.data()[0]['i'] == 6 & (cell.data()[0]['j'] == 1 || cell.data()[0]['j'] == 2 || cell.data()[0]['j'] == 3 || cell.data()[0]['j'] == 4 || cell.data()[0]['j'] == 5 || cell.data()[0]['j'] == 6 )) { | |
| // | |
| return '2.5px'; | |
| } | |
| //GET ACROSS DIAGONAL | |
| //grab child rank with all others | |
| if (cell.data()[0]['j'] == 6 & (cell.data()[0]['i'] == 1 || cell.data()[0]['i'] == 2 || cell.data()[0]['i'] == 3 || cell.data()[0]['i'] == 4 || cell.data()[0]['i'] == 5 || cell.data()[0]['i'] == 0)) { | |
| // | |
| return '2.5px'; | |
| } | |
| //grab child median with all others | |
| if (cell.data()[0]['i'] == 0 & (cell.data()[0]['j'] == 1 || cell.data()[0]['j'] == 2 || cell.data()[0]['j'] == 3 || cell.data()[0]['j'] == 4 || cell.data()[0]['j'] == 5 || cell.data()[0]['j'] == 0 )) { | |
| return '2.5px'; | |
| } | |
| else{ | |
| return '1px'; | |
| }}) | |
| cell.selectAll("circle") | |
| .data(data) | |
| .enter().append("circle") | |
| .attr("cx", function(d) { return x(d[p.x]); }) | |
| .attr("cy", function(d) { return y(d[p.y]); }) | |
| .attr("r", 1.2) | |
| .style("fill", function(d) { return color(d.tiername); }); | |
| } | |
| }); | |
| function cross(a, b) { | |
| var c = []; | |
| var n = a.length; | |
| var m = b.length; | |
| var i | |
| var j; | |
| for (i = -1; ++i < n;) | |
| for (j = -1; ++j < m;) | |
| c.push({x: a[i], i: i, y: b[j], j: j}); | |
| return c; | |
| }; | |
| function hide(cell){ | |
| var num; | |
| for (num = 0; num < 49 ; num++){ | |
| if (hidden.includes(num)){ | |
| d3.select("#cell"+num) | |
| .remove(); | |
| } | |
| } | |
| }; | |
| </script> |
| k_median | k_rank | par_q1 | par_q2 | par_q3 | par_q4 | par_q5 | tiername | |
|---|---|---|---|---|---|---|---|---|
| 83000 | 0.7741 | 0.0481 | 0.0814 | 0.1055 | 0.1969 | 0.5682 | HighlySelective | |
| 47900 | 0.6433 | 0.0534 | 0.0884 | 0.1492 | 0.2119 | 0.4971 | HighlySelective | |
| 69900 | 0.7457 | 0.0433 | 0.0604 | 0.0991 | 0.1686 | 0.6285 | HighlySelective | |
| 82400 | 0.7896 | 0.0393 | 0.0632 | 0.1152 | 0.1700 | 0.6123 | HighlySelective | |
| 49000 | 0.6497 | 0.0853 | 0.0984 | 0.1212 | 0.1747 | 0.5203 | HighlySelective | |
| 55800 | 0.6731 | 0.0432 | 0.0795 | 0.1412 | 0.1805 | 0.5557 | HighlySelective | |
| 43500 | 0.6144 | 0.0624 | 0.0871 | 0.0991 | 0.1615 | 0.5899 | HighlySelective | |
| 62000 | 0.7208 | 0.0368 | 0.0654 | 0.0883 | 0.1283 | 0.6812 | HighlySelective | |
| 72500 | 0.7501 | 0.0362 | 0.0608 | 0.1055 | 0.1467 | 0.6508 | HighlySelective | |
| 46400 | 0.6129 | 0.0512 | 0.0736 | 0.1367 | 0.1739 | 0.5646 | HighlySelective | |
| 67900 | 0.7355 | 0.0884 | 0.1061 | 0.1289 | 0.1631 | 0.5135 | HighlySelective | |
| 60400 | 0.7058 | 0.1225 | 0.1323 | 0.1502 | 0.1906 | 0.4044 | HighlySelective | |
| 65800 | 0.7238 | 0.1024 | 0.1251 | 0.1330 | 0.1619 | 0.4775 | HighlySelective | |
| 65300 | 0.7295 | 0.0878 | 0.1086 | 0.1267 | 0.1764 | 0.5005 | HighlySelective | |
| 58800 | 0.7021 | 0.0621 | 0.0871 | 0.1273 | 0.1727 | 0.5507 | HighlySelective | |
| 61200 | 0.6909 | 0.0493 | 0.0809 | 0.1202 | 0.1617 | 0.5879 | HighlySelective | |
| 63700 | 0.7111 | 0.0721 | 0.0980 | 0.1366 | 0.1601 | 0.5332 | HighlySelective | |
| 47600 | 0.6271 | 0.0372 | 0.0527 | 0.1201 | 0.1907 | 0.5993 | HighlySelective | |
| 42800 | 0.5567 | 0.1491 | 0.1303 | 0.1653 | 0.1488 | 0.4066 | Nonselective | |
| 29700 | 0.5126 | 0.0778 | 0.1122 | 0.1907 | 0.2098 | 0.4095 | Nonselective | |
| 25300 | 0.5121 | 0.0803 | 0.1131 | 0.1345 | 0.1864 | 0.4858 | Nonselective | |
| 47300 | 0.6261 | 0.0507 | 0.1004 | 0.1806 | 0.2200 | 0.4483 | Nonselective | |
| 31300 | 0.5029 | 0.1117 | 0.1464 | 0.1070 | 0.1626 | 0.4723 | Nonselective | |
| 47600 | 0.5969 | 0.1067 | 0.1710 | 0.1838 | 0.1966 | 0.3419 | Nonselective | |
| 42100 | 0.5981 | 0.0492 | 0.0891 | 0.1650 | 0.2227 | 0.4740 | Selective | |
| 35700 | 0.5596 | 0.0693 | 0.0951 | 0.1722 | 0.2358 | 0.4276 | Selective | |
| 36200 | 0.5597 | 0.0765 | 0.1119 | 0.2261 | 0.3191 | 0.2665 | Selective | |
| 50900 | 0.6666 | 0.0321 | 0.0955 | 0.1444 | 0.2460 | 0.4820 | Selective | |
| 85800 | 0.7906 | 0.0593 | 0.0725 | 0.1631 | 0.1991 | 0.5060 | Selective | |
| 65500 | 0.7316 | 0.0420 | 0.0678 | 0.1118 | 0.2024 | 0.5760 | Selective | |
| 55100 | 0.6879 | 0.1493 | 0.1541 | 0.1587 | 0.2094 | 0.3285 | Selective | |
| 47900 | 0.6498 | 0.1045 | 0.1330 | 0.1669 | 0.2367 | 0.3589 | Selective | |
| 46100 | 0.6258 | 0.1406 | 0.2016 | 0.1846 | 0.2054 | 0.2677 | Selective | |
| 48700 | 0.6554 | 0.0609 | 0.0886 | 0.1308 | 0.2131 | 0.5066 | Selective | |
| 40300 | 0.6008 | 0.2632 | 0.2439 | 0.2273 | 0.1494 | 0.1162 | Selective | |
| 51300 | 0.6652 | 0.0989 | 0.1332 | 0.1810 | 0.2309 | 0.3560 | Selective | |
| 44400 | 0.6268 | 0.1595 | 0.1723 | 0.1751 | 0.2083 | 0.2848 | Selective | |
| 47800 | 0.6431 | 0.1212 | 0.1482 | 0.1659 | 0.2168 | 0.3479 | Selective | |
| 48800 | 0.6521 | 0.1161 | 0.1487 | 0.1627 | 0.2092 | 0.3635 | Selective | |
| 43000 | 0.6157 | 0.3312 | 0.2644 | 0.1899 | 0.1165 | 0.0981 | Selective | |
| 41100 | 0.6047 | 0.1050 | 0.1324 | 0.1564 | 0.2085 | 0.3977 | Selective | |
| 44100 | 0.6231 | 0.1979 | 0.1963 | 0.1854 | 0.1803 | 0.2401 | Selective | |
| 43500 | 0.6159 | 0.1410 | 0.1831 | 0.1985 | 0.2363 | 0.2412 | Selective | |
| 44400 | 0.6274 | 0.0900 | 0.1389 | 0.1545 | 0.2253 | 0.3912 | Selective | |
| 44800 | 0.6184 | 0.1335 | 0.1736 | 0.1966 | 0.2512 | 0.2451 | Selective | |
| 39600 | 0.5832 | 0.0541 | 0.1094 | 0.2143 | 0.2326 | 0.3897 | Selective | |
| 45200 | 0.6386 | 0.0607 | 0.1291 | 0.1604 | 0.2396 | 0.4102 | Selective | |
| 37900 | 0.5837 | 0.1007 | 0.1498 | 0.2656 | 0.2870 | 0.1969 | Selective | |
| 35500 | 0.5571 | 0.0883 | 0.1159 | 0.1575 | 0.2274 | 0.4110 | Selective | |
| 43200 | 0.6174 | 0.1119 | 0.1483 | 0.1877 | 0.2320 | 0.3200 | Selective | |
| 56200 | 0.6872 | 0.0536 | 0.0958 | 0.1121 | 0.1594 | 0.5792 | Selective | |
| 30700 | 0.5270 | 0.0471 | 0.1386 | 0.2062 | 0.2493 | 0.3589 | Selective | |
| 40200 | 0.5987 | 0.1062 | 0.1479 | 0.2140 | 0.1947 | 0.3372 | Selective | |
| 44900 | 0.6399 | 0.2124 | 0.2610 | 0.2124 | 0.1554 | 0.1588 | Selective | |
| 50700 | 0.6437 | 0.0615 | 0.1168 | 0.1720 | 0.2273 | 0.4224 | Selective | |
| 45900 | 0.6190 | 0.0330 | 0.0941 | 0.1520 | 0.2229 | 0.4980 | Selective | |
| 55200 | 0.6906 | 0.0673 | 0.0945 | 0.1620 | 0.1887 | 0.4875 | Selective | |
| 51000 | 0.6668 | 0.0898 | 0.1093 | 0.1517 | 0.2091 | 0.4402 | Selective | |
| 45800 | 0.6305 | 0.1007 | 0.1449 | 0.1771 | 0.2185 | 0.3587 | Selective | |
| 56500 | 0.6988 | 0.1166 | 0.1262 | 0.1578 | 0.2123 | 0.3871 | Selective | |
| 27800 | 0.5129 | 0.0640 | 0.1790 | 0.2432 | 0.2845 | 0.2293 | Selective | |
| 46400 | 0.6364 | 0.0502 | 0.0850 | 0.1321 | 0.2155 | 0.5172 | Selective | |
| 61600 | 0.7215 | 0.0858 | 0.1051 | 0.1320 | 0.1893 | 0.4878 | Selective | |
| 52800 | 0.6737 | 0.1467 | 0.1683 | 0.1744 | 0.1929 | 0.3177 | Selective | |
| 46100 | 0.6339 | 0.0737 | 0.0934 | 0.1379 | 0.1733 | 0.5217 | Selective | |
| 48600 | 0.6519 | 0.1208 | 0.1637 | 0.2181 | 0.2191 | 0.2782 | Selective | |
| 47700 | 0.6443 | 0.0531 | 0.0966 | 0.1567 | 0.2268 | 0.4668 | Selective | |
| 56900 | 0.6883 | 0.0586 | 0.1086 | 0.1511 | 0.2025 | 0.4792 | Selective | |
| 59000 | 0.7061 | 0.0855 | 0.1258 | 0.1691 | 0.1869 | 0.4326 | Selective | |
| 32900 | 0.5408 | 0.0618 | 0.1252 | 0.2324 | 0.2641 | 0.3165 | Selective | |
| 47900 | 0.6300 | 0.0789 | 0.1166 | 0.1607 | 0.2168 | 0.4271 | Selective | |
| 44300 | 0.6190 | 0.1869 | 0.2047 | 0.1936 | 0.2015 | 0.2133 | Selective | |
| 30800 | 0.5157 | 0.1409 | 0.1891 | 0.2350 | 0.2569 | 0.1782 | Two-year | |
| 25700 | 0.4914 | 0.1640 | 0.1747 | 0.2199 | 0.2628 | 0.1786 | Two-year | |
| 28700 | 0.5101 | 0.1892 | 0.2127 | 0.2582 | 0.2336 | 0.1062 | Two-year | |
| 27300 | 0.4979 | 0.1606 | 0.1916 | 0.2193 | 0.2324 | 0.1961 | Two-year | |
| 26500 | 0.4945 | 0.1420 | 0.1866 | 0.1942 | 0.2026 | 0.2747 | Two-year | |
| 30200 | 0.5162 | 0.2339 | 0.2643 | 0.2457 | 0.1657 | 0.0903 | Two-year | |
| 35200 | 0.5553 | 0.0929 | 0.1416 | 0.1966 | 0.2466 | 0.3223 | Two-year | |
| 27700 | 0.4974 | 0.1469 | 0.1885 | 0.2249 | 0.2418 | 0.1979 | Two-year | |
| 28100 | 0.5045 | 0.1406 | 0.1888 | 0.2209 | 0.2407 | 0.2089 | Two-year | |
| 30600 | 0.5203 | 0.1620 | 0.1614 | 0.1805 | 0.2091 | 0.2870 | Two-year | |
| 29700 | 0.5081 | 0.1166 | 0.1539 | 0.1746 | 0.1970 | 0.3578 | Two-year | |
| 32500 | 0.5427 | 0.0931 | 0.1261 | 0.1834 | 0.2446 | 0.3528 | Two-year | |
| 28400 | 0.5022 | 0.2468 | 0.2699 | 0.2015 | 0.1615 | 0.1202 | Two-year | |
| 20300 | 0.4412 | 0.1877 | 0.1916 | 0.2381 | 0.2313 | 0.1513 | Two-year | |
| 27500 | 0.5033 | 0.2176 | 0.2278 | 0.2281 | 0.1906 | 0.1359 | Two-year | |
| 27900 | 0.4981 | 0.1896 | 0.2131 | 0.2323 | 0.2195 | 0.1455 | Two-year | |
| 32900 | 0.5380 | 0.0968 | 0.1276 | 0.1928 | 0.2419 | 0.3409 | Two-year | |
| 27100 | 0.5020 | 0.2227 | 0.2267 | 0.2479 | 0.1940 | 0.1087 | Two-year | |
| 31000 | 0.5295 | 0.1064 | 0.1486 | 0.1902 | 0.2438 | 0.3110 | Two-year | |
| 28300 | 0.5030 | 0.2198 | 0.2338 | 0.2006 | 0.1723 | 0.1736 | Two-year | |
| 23400 | 0.4669 | 0.1768 | 0.1884 | 0.1955 | 0.2502 | 0.1891 | Two-year | |
| 33900 | 0.5498 | 0.1296 | 0.1442 | 0.1847 | 0.2003 | 0.3412 | Two-year | |
| 29800 | 0.5210 | 0.1151 | 0.1655 | 0.1811 | 0.2259 | 0.3125 | Two-year | |
| 30500 | 0.5263 | 0.3236 | 0.2200 | 0.1765 | 0.1443 | 0.1356 | Two-year | |
| 31700 | 0.5324 | 0.1140 | 0.1538 | 0.2015 | 0.2668 | 0.2639 | Two-year | |
| 30500 | 0.5212 | 0.1978 | 0.2413 | 0.2355 | 0.1837 | 0.1417 | Two-year | |
| 25800 | 0.4942 | 0.3588 | 0.2647 | 0.1749 | 0.1288 | 0.0727 | Two-year | |
| 30900 | 0.5224 | 0.1197 | 0.1589 | 0.1730 | 0.2092 | 0.3391 | Two-year | |
| 30000 | 0.5239 | 0.1782 | 0.1906 | 0.2005 | 0.2230 | 0.2076 | Two-year | |
| 22100 | 0.4581 | 0.1419 | 0.2096 | 0.2074 | 0.2122 | 0.2289 | Two-year | |
| 37300 | 0.5676 | 0.0487 | 0.0893 | 0.1392 | 0.2440 | 0.4787 | Two-year | |
| 23300 | 0.4697 | 0.1682 | 0.1649 | 0.2485 | 0.2740 | 0.1444 | Two-year | |
| 28100 | 0.5033 | 0.2417 | 0.2239 | 0.2110 | 0.1696 | 0.1538 | Two-year | |
| 28400 | 0.5064 | 0.2832 | 0.2632 | 0.1965 | 0.1370 | 0.1201 | Two-year | |
| 31200 | 0.5234 | 0.1318 | 0.1640 | 0.2174 | 0.2511 | 0.2357 | Two-year | |
| 21400 | 0.4412 | 0.2097 | 0.2327 | 0.2270 | 0.2123 | 0.1182 | Two-year | |
| 25400 | 0.4800 | 0.2400 | 0.2366 | 0.2320 | 0.1838 | 0.1077 | Two-year | |
| 26500 | 0.4941 | 0.1338 | 0.1881 | 0.1960 | 0.2147 | 0.2674 | Two-year | |
| 27200 | 0.5012 | 0.1425 | 0.1846 | 0.2335 | 0.2158 | 0.2236 | Two-year | |
| 30800 | 0.5262 | 0.1670 | 0.1972 | 0.2147 | 0.2175 | 0.2037 | Two-year | |
| 25100 | 0.4810 | 0.1271 | 0.1641 | 0.2265 | 0.2700 | 0.2123 | Two-year | |
| 33700 | 0.5387 | 0.0994 | 0.1662 | 0.2273 | 0.2708 | 0.2363 | Two-year | |
| 38500 | 0.5858 | 0.0712 | 0.1136 | 0.1836 | 0.2614 | 0.3702 | Two-year | |
| 31500 | 0.5290 | 0.1176 | 0.1730 | 0.2098 | 0.2370 | 0.2626 | Two-year | |
| 29500 | 0.5116 | 0.2794 | 0.2321 | 0.1912 | 0.1581 | 0.1392 | Two-year | |
| 33700 | 0.5458 | 0.1597 | 0.1957 | 0.2137 | 0.2027 | 0.2282 | Two-year | |
| 32400 | 0.5373 | 0.2269 | 0.2599 | 0.2359 | 0.1758 | 0.1016 | Two-year | |
| 28800 | 0.5094 | 0.1250 | 0.1757 | 0.2184 | 0.2643 | 0.2166 | Two-year | |
| 31100 | 0.5254 | 0.0702 | 0.1133 | 0.1610 | 0.2140 | 0.4414 | Two-year | |
| 25900 | 0.4907 | 0.2209 | 0.2042 | 0.2132 | 0.2154 | 0.1463 | Two-year | |
| 30900 | 0.5246 | 0.1747 | 0.1915 | 0.2048 | 0.2033 | 0.2257 | Two-year | |
| 33000 | 0.5386 | 0.1840 | 0.2430 | 0.2162 | 0.1943 | 0.1625 | Two-year | |
| 30700 | 0.5225 | 0.1600 | 0.1835 | 0.2034 | 0.2515 | 0.2015 | Two-year | |
| 31900 | 0.5379 | 0.1552 | 0.1778 | 0.2028 | 0.2219 | 0.2423 | Two-year | |
| 37800 | 0.5777 | 0.1054 | 0.1584 | 0.2114 | 0.2357 | 0.2890 | Two-year | |
| 31400 | 0.5310 | 0.0965 | 0.1561 | 0.1713 | 0.2068 | 0.3693 | Two-year | |
| 28800 | 0.5126 | 0.2269 | 0.2257 | 0.1930 | 0.1422 | 0.2121 | Two-year | |
| 31600 | 0.5341 | 0.0903 | 0.1487 | 0.2079 | 0.2670 | 0.2861 | Two-year | |
| 30900 | 0.5288 | 0.0782 | 0.1309 | 0.1965 | 0.2749 | 0.3195 | Two-year | |
| 34300 | 0.5514 | 0.0793 | 0.1352 | 0.2010 | 0.3071 | 0.2774 | Two-year | |
| 28200 | 0.5049 | 0.2021 | 0.2297 | 0.2333 | 0.2029 | 0.1320 | Two-year | |
| 25200 | 0.4818 | 0.2475 | 0.2382 | 0.1979 | 0.1875 | 0.1289 | Two-year | |
| 32300 | 0.5185 | 0.1632 | 0.1836 | 0.2701 | 0.2143 | 0.1688 | Two-year | |
| 30600 | 0.5241 | 0.1310 | 0.1723 | 0.1953 | 0.2134 | 0.2881 | Two-year | |
| 25200 | 0.4905 | 0.1772 | 0.1836 | 0.2385 | 0.2549 | 0.1457 | Two-year | |
| 25600 | 0.4906 | 0.2254 | 0.2697 | 0.2064 | 0.2000 | 0.0986 | Two-year | |
| 36700 | 0.5698 | 0.0861 | 0.1280 | 0.1753 | 0.2347 | 0.3759 | Two-year | |
| 28900 | 0.5121 | 0.1404 | 0.1828 | 0.2403 | 0.2621 | 0.1745 | Two-year | |
| 25400 | 0.4800 | 0.2040 | 0.2665 | 0.2189 | 0.2101 | 0.1005 | Two-year |