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알바몬 임금체불 사업주(서울) - 평균 체불 금액 기준
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| <!DOCTYPE html> | |
| <html> | |
| <head><h1>알바몬 임금체불 사업주(서울) - 평균 체불 금액 기준</h1></head> | |
| <meta charset="utf-8"> | |
| <style> | |
| body { | |
| font: 10px sans-serif; | |
| } | |
| svg circle { | |
| fill: orange; | |
| opacity: .5; | |
| stroke: white; | |
| } | |
| svg circle:hover { | |
| fill: red; | |
| stroke: #333; | |
| } | |
| svg text { | |
| pointer-events: none; | |
| } | |
| svg .municipality { | |
| fill: #efefef; | |
| stroke: #fff; | |
| } | |
| svg .municipality-label { | |
| fill: #bbb; | |
| font-size: 12px; | |
| font-weight: 300; | |
| text-anchor: middle; | |
| } | |
| svg #map text { | |
| color: #333; | |
| font-size: 10px; | |
| text-anchor: middle; | |
| } | |
| svg #places text { | |
| color: #777; | |
| font: 10px sans-serif; | |
| text-anchor: start; | |
| } | |
| #title { | |
| font-family: sans-serif; | |
| } | |
| #title p { | |
| font-size: 10pt; | |
| } | |
| div.tooltip { | |
| position: absolute; | |
| text-align: center; | |
| width: 150px; | |
| height: 20px; | |
| padding-top: 6px; | |
| font: 12px sans-serif; | |
| font-weight: bold; | |
| background: rgba(255,255,255,.8); | |
| border: 0px; | |
| border-radius: 8px; | |
| pointer-events: none; | |
| } | |
| </style> | |
| <body> | |
| <div id="chart"></div> | |
| <script src="http://d3js.org/d3.v3.min.js"></script> | |
| <script src="http://d3js.org/topojson.v1.min.js"></script> | |
| <script> | |
| var width = 800, | |
| height = 650; | |
| var svg = d3.select("#chart").append("svg") | |
| .attr("width", width) | |
| .attr("height", height); | |
| var map = svg.append("g").attr("id", "map"), | |
| places = svg.append("g").attr("id", "places"); | |
| var color = d3.scale.linear().domain([0,100]).range(["green","red"]); | |
| var zero = d3.format("04d") | |
| var projection = d3.geo.mercator() | |
| .center([126.9895, 37.5651]) | |
| .scale(100000) | |
| .translate([width/2, height/2]); | |
| var path = d3.geo.path().projection(projection); | |
| var div = d3.select("body").append("div") | |
| .attr("class", "tooltip") | |
| .style("opacity", 0); | |
| var csv_data; | |
| d3.csv("seoul.csv", function(error, data){ | |
| data.forEach(function(d) { | |
| d.area = d.area; | |
| d.freq = +d.freq; | |
| d.amount = +d.amount; | |
| d.average = +d.average | |
| }); | |
| csv_data = data | |
| color.domain(d3.extent(data, function(d) { return d.average})) | |
| map.selectAll('path') | |
| .data(data) | |
| .style("fill", function(d,i){ | |
| return color(d.average) | |
| }) | |
| }); | |
| d3.json("simplemap.json", function(error, data) { | |
| var features = topojson.feature(data, data.objects.seoul_municipalities_geo).features; | |
| map.selectAll('path') | |
| .data(features) | |
| .enter().append('path') | |
| .attr("class", "municipality") | |
| .attr('id', function(d) { console.log(); return 'municipality_' + d.properties.name }) | |
| .attr('d', path) | |
| .style("fill", function(d,i) { | |
| area_name = d.properties.name | |
| for (i in csv_data) { | |
| csv_area = csv_data[i].area | |
| if (area_name == csv_area) { | |
| console.log(csv_data[i].average) | |
| return color(csv_data[i].average) | |
| } | |
| } | |
| }) | |
| .on("mouseover", function(d,i) { | |
| area_name = d.properties.name | |
| var average; | |
| for (i in csv_data) { | |
| csv_area = csv_data[i].area | |
| if (area_name == csv_area) { | |
| average = csv_data[i].average | |
| } | |
| } | |
| div.transition() | |
| .duration(200) | |
| .style("opacity", .9); | |
| div .html(area_name + ": 평균 " + (1*average).toLocaleString() + "원") | |
| .style("left", (d3.event.pageX) + "px") | |
| .style("top", (d3.event.pageY - 28) + "px"); | |
| }); | |
| map.selectAll('text') | |
| .data(features) | |
| .enter().append("text") | |
| .attr("transform", function(d) { return "translate(" + path.centroid(d) + ")"; }) | |
| .attr("dy", ".35em") | |
| .attr("class", "municipality-label") | |
| .text(function(d) { return d.properties.name; }) | |
| }); | |
| </script> | |
| </body> | |
| </html> |
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| area | freq | amount | average | |
|---|---|---|---|---|
| 강남구 | 51 | 3404547921 | 66755841 | |
| 서초구 | 26 | 1805857475 | 69456056 | |
| 금천구 | 16 | 1173021475 | 73313842 | |
| 구로구 | 13 | 1056856419 | 81296647 | |
| 성동구 | 9 | 1198101831 | 133122425 | |
| 송파구 | 9 | 669187455 | 74354161 | |
| 영등포구 | 8 | 426145001 | 53268125 | |
| 강서구 | 6 | 575282048 | 95880341 | |
| 중구 | 5 | 333293753 | 66658750 | |
| 마포구 | 4 | 193478025 | 48369506 | |
| 동작구 | 3 | 192040404 | 64013468 | |
| 종로구 | 3 | 255196747 | 85065582 | |
| 양천구 | 3 | 208982914 | 69660971 | |
| 서대문구 | 2 | 80415501 | 40207750 | |
| 관악구 | 2 | 81071088 | 40535544 | |
| 용산구 | 2 | 108713009 | 54356504 | |
| 성북구 | 2 | 2130261053 | 1065130526 | |
| 강동구 | 1 | 58807070 | 58807070 | |
| 은평구 | 1 | 31365600 | 31365600 | |
| 중랑구 | 1 | 45359690 | 45359690 |
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| 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