Last active
September 17, 2015 23:24
-
-
Save jchaskell/4930a5c7310db00b850e to your computer and use it in GitHub Desktop.
Trade with China by State
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="utf-8"> | |
<title>States' Trade Relationship with China</title> | |
<script type="text/javascript" src="http://d3js.org/d3.v3.js"></script> | |
<style type="text/css"> | |
body { | |
background-color: white; | |
font-family: Helvetica, Arial, sans-serif; | |
} | |
h1{ | |
font-size:24px; | |
margin:0; | |
} | |
p{ | |
font-size:14px; | |
margin: 10px 0 0 0; | |
} | |
svg { | |
background-color: white; | |
} | |
rect:hover { | |
fill:#FFFF66; | |
} | |
.axis path, | |
.axis line { | |
fill: none; | |
stroke: black; | |
shape-rendering: crispEdges; | |
} | |
.axis text{ | |
font-family: sans-serif; | |
font-size: 11px; | |
} | |
.y.axis path, | |
.y.axis line{ | |
opacity:0; | |
} | |
</style> | |
</head> | |
<body> | |
<h1>Trade with China as a Percent of Total Trade in 2014 </h1> | |
<p>Imports from China + Exports from China / Total Imports + Total Exports, from the Department of Commerce</p> | |
<script type="text/javascript"> | |
var w = 1000; | |
var h = 1000; | |
var padding = [ 20, 10, 30, 120]; | |
var widthScale = d3.scale.linear() | |
.range([ 0, w - padding[1] - padding[3] ]); | |
var heightScale = d3.scale.ordinal() | |
.rangeRoundBands([ padding[0], h - padding[2] ] , 0.1); | |
var xAxis = d3.svg.axis() | |
.scale(widthScale) | |
.orient("bottom") | |
.tickFormat(function(d) { | |
return d + "%"; | |
}); | |
var yAxis = d3.svg.axis() | |
.scale(heightScale) | |
.orient("left"); | |
var svg = d3.select("body") //creates SVG for putting graph | |
.append("svg") | |
.attr("width", w) | |
.attr("height", h); | |
//Load in contents of CSV file | |
d3.csv("trade_with_china_by_state_wk3.csv", function(data) { | |
data.sort(function(a, b) { | |
return d3.descending(+a.trade_percent_china, +b.trade_percent_china); //orders data by the order you want bars in | |
}); | |
widthScale.domain([ 0, d3.max(data, function(d) { | |
return +d.trade_percent_china; | |
}) ]); | |
heightScale.domain( | |
data.map(function(d) { return d.state } )); | |
var rects = svg.selectAll("rect") | |
.data(data) | |
.enter() | |
.append("rect"); //initializes rectangles - use select for 1 element, selectAll for more | |
rects.attr("x", padding[3]) | |
.attr("y", function(d) { | |
return heightScale(d.state); | |
}) | |
.attr("width", function(d) { | |
return widthScale(d.trade_percent_china); | |
}) | |
.attr("height", heightScale.rangeBand()) | |
.attr("fill", "crimson") /* makes them blue */ | |
.append("title") | |
.text(function(d) { | |
return d.state + ": " + d3.round(d.trade_percent_china) + "%"; | |
}); | |
svg.append("g") | |
.attr("class", "x axis") | |
.attr("transform", "translate(" + padding[3] + "," + (h - padding[2]) + ")") | |
.call(xAxis); | |
svg.append("g") | |
.attr("class", "y axis") | |
.attr("transform", "translate(" + padding[3] + ",0)") | |
.call(yAxis); | |
}); | |
</script> | |
</body> | |
</html> |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
state | year | exports_total | imports_total | exports_china | imports_china | GDP_millions | trade_percent_china | ||
---|---|---|---|---|---|---|---|---|---|
1 | Alabama | 2014 | 19439656976 | 22210087795 | 3126670408 | 2033874199 | 199440 | 12.3903390894083 | |
2 | Alaska | 2014 | 5110729449 | 2007526150 | 1466861476 | 333486222 | 57080 | 25.2919788136425 | |
3 | Arizona | 2014 | 21247546752 | 19715930777 | 1019115907 | 2707933025 | 284156 | 9.09846809114642 | |
4 | Arkansas | 2014 | 6860016662 | 7602779486 | 437354557 | 2529941697 | 121395 | 20.5167536321138 | |
5 | California | 2014 | 1.73812e+11 | 4.03369e+11 | 16050010176 | 1.37676e+11 | 2311616 | 26.6339346194695 | |
6 | Colorado | 2014 | 8337260753 | 14237309353 | 654843016 | 2267265446 | 306663 | 12.9442485428475 | |
7 | Connecticut | 2014 | 15930667663 | 23892040733 | 907301045 | 2977077366 | 253036 | 9.75417938020049 | |
8 | Delaware | 2014 | 5266627084 | 10689561394 | 456012439 | 504261209 | 62756 | 6.01818942740619 | |
9 | Florida | 2014 | 58506528733 | 71782152022 | 1160026482 | 12255662076 | 839944 | 10.2968949261428 | |
10 | Georgia | 2014 | 39376825754 | 83764608277 | 3082051554 | 18650879121 | 476483 | 17.6487555517088 | |
11 | Hawaii | 2014 | 1447123737 | 5329853601 | 221174936 | 262138112 | 77389 | 7.13169048522499 | |
12 | Idaho | 2014 | 5137445142 | 5691784235 | 481655801 | 1499221201 | 63952 | 18.2919479589854 | |
13 | Illinois | 2014 | 68246837088 | 1.40123e+11 | 4714008061 | 29463893632 | 745875 | 16.4025187957342 | |
14 | Indiana | 2014 | 35467036651 | 48793539329 | 1436395708 | 7721090230 | 317840 | 10.8680552340084 | |
15 | Iowa | 2014 | 15092200558 | 10080923399 | 946360620 | 1411724898 | 170613 | 9.36747271426468 | |
16 | Kansas | 2014 | 12045822292 | 11805856621 | 1183713509 | 2347659479 | 147075 | 14.8055531054264 | |
17 | Kentucky | 2014 | 27650690098 | 39266108135 | 1653540616 | 6860910997 | 188602 | 12.7239375430863 | |
18 | Louisiana | 2014 | 64813659468 | 57605434176 | 8438883476 | 1309776857 | 251397 | 7.96334954198364 | |
19 | Maine | 2014 | 2711573626 | 3860606350 | 183872121 | 357390874 | 55838 | 8.23566909269923 | |
20 | Maryland | 2014 | 12233389310 | 30071548917 | 731811906 | 3127411395 | 348631 | 9.12239436514991 | |
21 | Massachusetts | 2014 | 27382732078 | 34435514986 | 2290935906 | 4405605701 | 459937 | 10.8326294015861 | |
22 | Michigan | 2014 | 55928500991 | 1.22739e+11 | 3403937136 | 8140420830 | 451516 | 6.46136421115641 | |
23 | Minnesota | 2014 | 21408254499 | 34692897614 | 1801259896 | 10384894557 | 316204 | 21.7217543562286 | |
24 | Mississippi | 2014 | 11450139890 | 17254303213 | 644183631 | 3225379650 | 104851 | 13.4807119131866 | |
25 | Missouri | 2014 | 14140665981 | 18283923179 | 872445283 | 4554164578 | 284462 | 16.7360944319826 | |
26 | Montana | 2014 | 1545427741 | 6237281938 | 106274493 | 135777998 | 44269 | 3.1101313165147 | |
27 | Nebraska | 2014 | 7863497581 | 4050191701 | 610290257 | 927640238 | 112159 | 12.9089357511078 | |
28 | Nevada | 2014 | 7691517557 | 7849656312 | 584252675 | 3258993947 | 132064 | 24.729448717295 | |
29 | New Hampshire | 2014 | 4226842551 | 11215615947 | 298542781 | 1105985121 | 71552 | 9.09523507660328 | |
30 | New Jersey | 2014 | 36616205166 | 1.26365e+11 | 1425370024 | 18111852950 | 549099 | 11.9874085813152 | |
31 | New Mexico | 2014 | 3800450987 | 2237304630 | 105893888 | 781283409 | 92959 | 14.6938258730123 | |
32 | New York | 2014 | 88433809412 | 1.3458e+11 | 4290507924 | 23074327027 | 1404518 | 12.2704665792447 | |
33 | North Carolina | 2014 | 31376674756 | 52863883680 | 2661378529 | 12486268679 | 483126 | 17.9814183206158 | |
34 | North Dakota | 2014 | 5492795154 | 3829392074 | 49960606 | 152513068 | 55136 | 2.17195459657636 | |
35 | Ohio | 2014 | 52240104252 | 70268895120 | 3881651849 | 12670668757 | 583261 | 13.5111058704665 | |
36 | Oklahoma | 2014 | 6308690348 | 13588520904 | 273496793 | 2649791970 | 183501 | 14.6919521835311 | |
37 | Pennsylvania | 2014 | 40354943154 | 13787777664 | 4264840885 | 2631653191 | 215677 | 12.7376200748804 | |
38 | Puerto Rico | 2014 | 20238018075 | 83086063845 | 2398383171 | 18097788090 | 662890 | 19.8367804292415 | |
39 | Rhode Island | 2014 | 2388748799 | 8353607988 | 115841904 | 1135537256 | 54960 | 11.6490187843544 | |
40 | South Carolina | 2014 | 29624187799 | 37728697389 | 4228389229 | 5538523165 | 190304 | 14.5011046917113 | |
41 | South Dakota | 2014 | 1593697270 | 1041924500 | 39281446 | 143404248 | 45867 | 6.9314078400559 | |
42 | Tennessee | 2014 | 32940171718 | 69754014293 | 2333992810 | 25333886659 | 300604 | 26.9420115624037 | |
43 | Texas | 2014 | 2.88049e+11 | 3.02277e+11 | 10947592596 | 45446796290 | 1648036 | 9.55309250922372 | |
44 | Utah | 2014 | 12305529420 | 11118424611 | 891716624 | 2007287296 | 141410 | 12.3762363782108 | |
45 | Vermont | 2014 | 3669277804 | 4759797794 | 274869724 | 226113141 | 29613 | 5.94350897883595 | |
46 | Virginia | 2014 | 19255244148 | 24286941582 | 2000142373 | 5855261491 | 463613 | 18.0409038551956 | |
47 | Washington | 2014 | 90547036334 | 52378630833 | 20689637743 | 8302348527 | 427052 | 20.2846604424974 | |
48 | West Virginia | 2014 | 7486181404 | 3811090386 | 549490885 | 278680173 | 75337 | 7.33071730409347 | |
49 | Wisconsin | 2014 | 23428059266 | 23524598717 | 1560985127 | 6063467237 | 292891 | 16.2385958357471 | |
50 | Wyoming | 2014 | 1757198477 | 1901836758 | 19014795 | 128846273 | 44190 | 4.04098508223302 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment