Original data: 人口推計(2012年) 年齢(各歳), 男女別人口及び人口性比-総人口, 日本人人口(平成24年10月1日現在)
Source: e-Stat
Last active
December 27, 2015 13:28
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age | male | female | |
---|---|---|---|
0 | 535 | 509 | |
1 | 548 | 519 | |
2 | 534 | 510 | |
3 | 534 | 510 | |
4 | 549 | 524 | |
5 | 547 | 522 | |
6 | 543 | 518 | |
7 | 542 | 517 | |
8 | 562 | 537 | |
9 | 573 | 545 | |
10 | 588 | 561 | |
11 | 597 | 568 | |
12 | 604 | 573 | |
13 | 603 | 575 | |
14 | 613 | 585 | |
15 | 610 | 583 | |
16 | 607 | 578 | |
17 | 627 | 594 | |
18 | 633 | 601 | |
19 | 623 | 593 | |
20 | 633 | 601 | |
21 | 625 | 596 | |
22 | 636 | 606 | |
23 | 650 | 621 | |
24 | 668 | 637 | |
25 | 681 | 653 | |
26 | 695 | 665 | |
27 | 721 | 695 | |
28 | 743 | 717 | |
29 | 751 | 727 | |
30 | 751 | 732 | |
31 | 761 | 739 | |
32 | 795 | 772 | |
33 | 816 | 792 | |
34 | 850 | 826 | |
35 | 871 | 847 | |
36 | 915 | 888 | |
37 | 957 | 929 | |
38 | 1009 | 980 | |
39 | 1025 | 999 | |
40 | 1007 | 979 | |
41 | 979 | 956 | |
42 | 952 | 929 | |
43 | 935 | 918 | |
44 | 914 | 900 | |
45 | 912 | 896 | |
46 | 711 | 704 | |
47 | 879 | 870 | |
48 | 823 | 813 | |
49 | 802 | 795 | |
50 | 775 | 770 | |
51 | 762 | 758 | |
52 | 767 | 766 | |
53 | 779 | 781 | |
54 | 757 | 763 | |
55 | 736 | 742 | |
56 | 772 | 780 | |
57 | 799 | 808 | |
58 | 798 | 810 | |
59 | 844 | 865 | |
60 | 889 | 915 | |
61 | 941 | 971 | |
62 | 1009 | 1047 | |
63 | 1100 | 1148 | |
64 | 1087 | 1141 | |
65 | 1029 | 1084 | |
66 | 637 | 682 | |
67 | 674 | 737 | |
68 | 813 | 898 | |
69 | 781 | 869 | |
70 | 795 | 892 | |
71 | 765 | 866 | |
72 | 684 | 786 | |
73 | 585 | 683 | |
74 | 611 | 729 | |
75 | 613 | 745 | |
76 | 596 | 743 | |
77 | 551 | 707 | |
78 | 500 | 662 | |
79 | 478 | 657 | |
80 | 446 | 631 | |
81 | 405 | 597 | |
82 | 360 | 555 | |
83 | 325 | 527 | |
84 | 291 | 494 | |
85 | 256 | 459 | |
86 | 223 | 430 | |
87 | 179 | 379 | |
88 | 139 | 324 | |
89 | 105 | 286 | |
90 | 83 | 249 | |
91 | 65 | 211 | |
92 | 54 | 186 | |
93 | 35 | 126 | |
94 | 28 | 108 | |
95 | 22 | 87 | |
96 | 16 | 70 | |
97 | 10 | 49 | |
98 | 8 | 38 | |
99 | 5 | 26 | |
100+ | 7 | 44 |
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<!DOCTYPE html> | |
<meta charset="utf-8"> | |
<style> | |
.axis path, .axis line { | |
fill: none; | |
stroke: black; | |
shape-rendering: crispEdges; | |
} | |
.axis text { | |
fill: black; | |
font-size: 10px; | |
} | |
.bar_male { | |
fill: darkblue; | |
} | |
.bar_female { | |
fill: orange; | |
} | |
</style> | |
<body> | |
<script src="http://d3js.org/d3.v3.js"></script> | |
<script> | |
//define parameters. | |
var margin =40; | |
var w = 800-2*margin; | |
var h = 1200-2*margin; | |
//generate a svg with the given size, and store a reference to the svg. | |
var svg = d3.select("body") | |
.append("svg") | |
.attr({ | |
width:w+2*margin, | |
height:h+2*margin | |
}) | |
.append("g") | |
.attr("transform", "translate("+margin+","+margin+")"); | |
//parameters | |
var centre = 40; | |
var hw = w/2 - centre/2; | |
var mx = hw; | |
var fx = hw+centre; | |
//scales | |
var yScale = d3.scale.ordinal() | |
.rangeRoundBands([0, h], .05); | |
var mxScale = d3.scale.linear() | |
.range([mx, 0]); | |
var fxScale = d3.scale.linear() | |
.range([fx, w]); | |
//create axises. | |
var mxAxis = d3.svg.axis() | |
.scale(mxScale) | |
.orient("bottom"); | |
var fxAxis = d3.svg.axis() | |
.scale(fxScale) | |
.orient("bottom"); | |
var yAxis = d3.svg.axis() | |
.scale(yScale) | |
.orient("right"); | |
//read data. | |
//note that this method is 'asynchronised'. So it returns immediately. | |
//This means that the program goes on regardless of the loading. | |
//Therefore, all functions related to the data must be written in this method. | |
d3.csv("data.csv") | |
.row(function(d){return {age: d.age, male: +d.male, female: +d.female};}) | |
.get(function(error, rows){ | |
console.log(rows); | |
//set domains of the scales. | |
yScale.domain(rows.map(function(d){return d.age;})); | |
var maximum = d3.max(rows, function(d){return d3.max([d.male, d.female]);}); | |
mxScale.domain([0, maximum]); | |
fxScale.domain([0, maximum]); | |
//draw y axis | |
svg.append("g") | |
.attr({ | |
class: "axis", | |
transform: "translate("+mx+",0)" | |
}) | |
.call(yAxis) | |
.append("text") | |
.attr({ | |
x: 10, | |
y: -5 | |
}) | |
.style("text-anchor", "start") | |
.text("age"); | |
//draw x axises | |
svg.append("g") | |
.attr({ | |
class: "axis", | |
transform: "translate(0, "+h+")" | |
}) | |
.call(mxAxis) | |
.append("text") | |
.attr({ | |
x: 0, | |
y: 30 | |
}) | |
.style("text-anchor", "start") | |
.text("male population (thousands)"); | |
svg.append("g") | |
.attr({ | |
class: "axis", | |
transform: "translate(0, "+h+")" | |
}) | |
.call(fxAxis) | |
.append("text") | |
.attr({ | |
x: w, | |
y: 30 | |
}) | |
.style("text-anchor", "end") | |
.text("female population (thousands)"); | |
//draw bars. | |
svg.selectAll(".bar_male") | |
.data(rows) | |
.enter() | |
.append("rect") | |
.attr({ | |
class: "bar_male", | |
x: function(d){return mxScale(d.male);}, | |
width: function(d){return mx-mxScale(d.male);}, | |
y: function(d){return yScale(d.age);}, | |
height: yScale.rangeBand() | |
}); | |
svg.selectAll(".bar_female") | |
.data(rows) | |
.enter() | |
.append("rect") | |
.attr({ | |
class: "bar_female", | |
x: fx, | |
width: function(d){return fxScale(d.female)-fx;}, | |
y: function(d){return yScale(d.age);}, | |
height: yScale.rangeBand() | |
}); | |
}); | |
</script> |
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