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demographic-states-by-city.csv
JURISDICTION NAME COUNT PARTICIPANTS COUNT FEMALE PERCENT FEMALE COUNT MALE PERCENT MALE COUNT GENDER UNKNOWN PERCENT GENDER UNKNOWN COUNT GENDER TOTAL PERCENT GENDER TOTAL COUNT PACIFIC ISLANDER PERCENT PACIFIC ISLANDER COUNT HISPANIC LATINO PERCENT HISPANIC LATINO COUNT AMERICAN INDIAN PERCENT AMERICAN INDIAN COUNT ASIAN NON HISPANIC PERCENT ASIAN NON HISPANIC COUNT WHITE NON HISPANIC PERCENT WHITE NON HISPANIC COUNT BLACK NON HISPANIC PERCENT BLACK NON HISPANIC COUNT OTHER ETHNICITY PERCENT OTHER ETHNICITY COUNT ETHNICITY UNKNOWN PERCENT ETHNICITY UNKNOWN COUNT ETHNICITY TOTAL PERCENT ETHNICITY TOTAL COUNT PERMANENT RESIDENT ALIEN PERCENT PERMANENT RESIDENT ALIEN COUNT US CITIZEN PERCENT US CITIZEN COUNT OTHER CITIZEN STATUS PERCENT OTHER CITIZEN STATUS COUNT CITIZEN STATUS UNKNOWN PERCENT CITIZEN STATUS UNKNOWN COUNT CITIZEN STATUS TOTAL PERCENT CITIZEN STATUS TOTAL COUNT RECEIVES PUBLIC ASSISTANCE PERCENT RECEIVES PUBLIC ASSISTANCE COUNT NRECEIVES PUBLIC ASSISTANCE PERCENT NRECEIVES PUBLIC ASSISTANCE COUNT PUBLIC ASSISTANCE UNKNOWN PERCENT PUBLIC ASSISTANCE UNKNOWN COUNT PUBLIC ASSISTANCE TOTAL PERCENT PUBLIC ASSISTANCE TOTAL
10001 44 22 0.5 22 0.5 0 0 44 100 0 0 16 0.36 0 0 3 0.07 1 0.02 21 0.48 3 0.07 0 0 44 100 2 0.05 42 0.95 0 0 0 0 44 100 20 0.45 24 0.55 0 0 44 100
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11235 50 17 0.34 33 0.66 0 0 50 100 0 0 7 0.14 0 0 4 0.08 36 0.72 2 0.04 1 0.02 0 0 50 100 1 0.02 48 0.96 1 0.02 0 0 50 100 4 0.08 46 0.92 0 0 50 100
11236 7 3 0.43 4 0.57 0 0 7 100 0 0 0 0 0 0 0 0 1 0.14 5 0.71 0 0 1 0.14 7 99 2 0.29 5 0.71 0 0 0 0 7 100 0 0 7 1 0 0 7 100
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11375 5 2 0.4 3 0.6 0 0 5 100 0 0 2 0.4 0 0 0 0 0 0 3 0.6 0 0 0 0 5 100 0 0 5 1 0 0 0 0 5 100 1 0.2 4 0.8 0 0 5 100
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11510 28 6 0.21 22 0.79 0 0 28 100 0 0 6 0.21 0 0 1 0.04 18 0.64 2 0.07 1 0.04 0 0 28 100 1 0.04 27 0.96 0 0 0 0 28 100 1 0.04 27 0.96 0 0 28 100
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11968 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
12423 21 1 0.05 20 0.95 0 0 21 100 0 0 0 0 0 0 0 0 19 0.9 0 0 1 0.05 1 0.05 21 100 0 0 21 1 0 0 0 0 21 100 5 0.24 16 0.76 0 0 21 100
12428 124 74 0.6 50 0.4 0 0 124 100 2 0.02 1 0.01 0 0 0 0 117 0.94 0 0 4 0.03 0 0 124 100 0 0 124 1 0 0 0 0 124 100 71 0.57 53 0.43 0 0 124 100
12435 55 5 0.09 50 0.91 0 0 55 100 0 0 0 0 0 0 0 0 50 0.91 0 0 5 0.09 0 0 55 100 0 0 55 1 0 0 0 0 55 100 19 0.35 36 0.65 0 0 55 100
12458 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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12473 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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12701 87 49 0.56 38 0.44 0 0 87 100 0 0 0 0 0 0 0 0 83 0.95 0 0 2 0.02 2 0.02 87 99 0 0 87 1 0 0 0 0 87 100 18 0.21 69 0.79 0 0 87 100
12733 13 6 0.46 7 0.54 0 0 13 100 0 0 0 0 0 0 0 0 13 1 0 0 0 0 0 0 13 100 0 0 13 1 0 0 0 0 13 100 2 0.15 11 0.85 0 0 13 100
12734 252 170 0.67 82 0.33 0 0 252 100 0 0 0 0 0 0 0 0 243 0.96 0 0 4 0.02 5 0.02 252 100 0 0 252 1 0 0 0 0 252 100 61 0.24 191 0.76 0 0 252 100
12737 35 34 0.97 1 0.03 0 0 35 100 0 0 0 0 0 0 0 0 35 1 0 0 0 0 0 0 35 100 2 0.06 33 0.94 0 0 0 0 35 100 20 0.57 15 0.43 0 0 35 100
12750 37 36 0.97 1 0.03 0 0 37 100 0 0 0 0 0 0 0 0 37 1 0 0 0 0 0 0 37 100 0 0 37 1 0 0 0 0 37 100 21 0.57 16 0.43 0 0 37 100
12751 7 2 0.29 5 0.71 0 0 7 100 0 0 0 0 0 0 0 0 7 1 0 0 0 0 0 0 7 100 0 0 7 1 0 0 0 0 7 100 2 0.29 5 0.71 0 0 7 100
12754 134 64 0.48 70 0.52 0 0 134 100 2 0.01 0 0 0 0 0 0 127 0.95 0 0 4 0.03 1 0.01 134 100 1 0.01 133 0.99 0 0 0 0 134 100 27 0.2 107 0.8 0 0 134 100
12758 82 50 0.61 32 0.39 0 0 82 100 0 0 0 0 0 0 0 0 76 0.93 0 0 6 0.07 0 0 82 100 0 0 82 1 0 0 0 0 82 100 24 0.29 58 0.71 0 0 82 100
12759 11 0 0 11 1 0 0 11 100 0 0 0 0 0 0 0 0 11 1 0 0 0 0 0 0 11 100 0 0 11 1 0 0 0 0 11 100 8 0.73 3 0.27 0 0 11 100
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12764 64 61 0.95 3 0.05 0 0 64 100 0 0 0 0 0 0 0 0 62 0.97 0 0 2 0.03 0 0 64 100 0 0 64 1 0 0 0 0 64 100 5 0.08 59 0.92 0 0 64 100
12768 63 1 0.02 62 0.98 0 0 63 100 0 0 0 0 0 0 0 0 61 0.97 0 0 1 0.02 1 0.02 63 100 0 0 63 1 0 0 0 0 63 100 23 0.37 40 0.63 0 0 63 100
12779 242 183 0.76 59 0.24 0 0 242 100 0 0 0 0 0 0 0 0 239 0.99 0 0 3 0.01 0 0 242 100 1 0 241 1 0 0 0 0 242 100 155 0.64 87 0.36 0 0 242 100
12783 201 66 0.33 135 0.67 0 0 201 100 0 0 0 0 2 0.01 0 0 195 0.97 0 0 3 0.01 1 0 201 99 4 0.02 197 0.98 0 0 0 0 201 100 77 0.38 124 0.62 0 0 201 100
12786 4 3 0.75 1 0.25 0 0 4 100 0 0 0 0 0 0 0 0 4 1 0 0 0 0 0 0 4 100 0 0 4 1 0 0 0 0 4 100 1 0.25 3 0.75 0 0 4 100
12788 83 39 0.47 44 0.53 0 0 83 100 0 0 0 0 0 0 0 0 81 0.98 0 0 2 0.02 0 0 83 100 0 0 83 1 0 0 0 0 83 100 35 0.42 48 0.58 0 0 83 100
12789 272 115 0.42 157 0.58 0 0 272 100 0 0 0 0 0 0 0 0 262 0.96 0 0 6 0.02 4 0.01 272 99 1 0 271 1 0 0 0 0 272 100 70 0.26 202 0.74 0 0 272 100
13731 17 2 0.12 15 0.88 0 0 17 100 0 0 0 0 0 0 0 0 15 0.88 0 0 2 0.12 0 0 17 100 0 0 17 1 0 0 0 0 17 100 7 0.41 10 0.59 0 0 17 100
16091 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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Raw
index.html
<!DOCTYPE html>
<head>
<meta charset="utf-8">
<script src="https://d3js.org/d3.v4.min.js"></script>
<style>
body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; }
svg {
width: 100%;
height: 100%;
}
</style>
</head>
<body>
<svg></svg>
<script>
const COUNT_HISPANICS = 'COUNT HISPANIC LATINO';
const width = 900;
const height = 300;
let sum = 0;
// dataset of city temperatures across time
d3.csv('demographic-states-by-city.csv', (err, data) => {
// clean the data
data.forEach(d => {
d[COUNT_HISPANICS] = Number(d[COUNT_HISPANICS]) + 0; // y
});
// get min/max
var min = d3.min(data, d => d[COUNT_HISPANICS]);
var max = d3.max(data, d => d[COUNT_HISPANICS]);
// or use extent, which gives back [min, max]
const extent = d3.extent(data, d => d[COUNT_HISPANICS]);
// try different scales, change the ranges, see what happens
const yScale = d3.scaleLinear()
.domain(extent)
.range([height, 0]);
// try passing in tick valuess
const yAxis = d3.axisLeft()
.scale(yScale);
const axis = d3.select('svg').append('g')
.attr('transform', 'translate(40, 20)')
.call(yAxis);
const text = axis.selectAll('text')
.attr('fill', d => d === 35 ? 'blue' : 'green')
});
</script>
</body>
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