|
| 1 | +<!DOCTYPE html> |
| 2 | +<meta charset="utf-8" /> |
| 3 | + |
| 4 | +<!-- Load d3.js --> |
| 5 | +<script src="https://d3js.org/d3.v6.js"></script> |
| 6 | + |
| 7 | +<!-- Load plotly.js into the DOM --> |
| 8 | +<script src="https://cdn.plot.ly/plotly-2.16.1.min.js"></script> |
| 9 | + |
| 10 | +<script |
| 11 | + src="https://code.jquery.com/jquery-3.6.3.min.js" |
| 12 | + integrity="sha256-pvPw+upLPUjgMXY0G+8O0xUf+/Im1MZjXxxgOcBQBXU=" |
| 13 | + crossorigin="anonymous" |
| 14 | +></script> |
| 15 | + |
| 16 | +<body> |
| 17 | + <label>Election Type:</label> |
| 18 | + <select id="electionType"> |
| 19 | + <option>president</option> |
| 20 | + <option>legislator-at-large</option> |
| 21 | + <option>legislator</option> |
| 22 | + </select> |
| 23 | + <!-- Create a div where the graph will take place --> |
| 24 | + <div id="map"></div> |
| 25 | +</body> |
| 26 | + |
| 27 | +<script> |
| 28 | + //file list |
| 29 | + const files = { |
| 30 | + president: { |
| 31 | + 2016: { |
| 32 | + by_city: "/dataset/voteData/cleaned/president/2016/by_city.csv", |
| 33 | + by_nation: "/dataset/voteData/cleaned/president/2016/by_nation.csv", |
| 34 | + candidate: "/dataset/voteData/cleaned/president/2016/candidate.csv", |
| 35 | + }, |
| 36 | + 2020: { |
| 37 | + by_city: "/dataset/voteData/cleaned/president/2020/by_city.csv", |
| 38 | + by_nation: "/dataset/voteData/cleaned/president/2020/by_nation.csv", |
| 39 | + candidate: "/dataset/voteData/cleaned/president/2020/candidate.csv", |
| 40 | + }, |
| 41 | + }, |
| 42 | + "legislator-at-large": { |
| 43 | + 2016: { |
| 44 | + by_city: |
| 45 | + "/dataset/voteData/cleaned/legislator-at-large/2016/by_city.csv", |
| 46 | + by_nation: |
| 47 | + "/dataset/voteData/cleaned/legislator-at-large/2016/by_nation.csv", |
| 48 | + candidate: |
| 49 | + "/dataset/voteData/cleaned/legislator-at-large/2016/candidate.csv", |
| 50 | + }, |
| 51 | + 2020: { |
| 52 | + by_city: |
| 53 | + "/dataset/voteData/cleaned/legislator-at-large/2020/by_city.csv", |
| 54 | + by_nation: |
| 55 | + "/dataset/voteData/cleaned/legislator-at-large/2020/by_nation.csv", |
| 56 | + candidate: |
| 57 | + "/dataset/voteData/cleaned/legislator-at-large/2020/candidate.csv", |
| 58 | + }, |
| 59 | + }, |
| 60 | + legislator: { |
| 61 | + 2016: { |
| 62 | + by_city: "/dataset/voteData/cleaned/legislator/2016/by_district.csv", |
| 63 | + candidate: "/dataset/voteData/cleaned/legislator/2016/candidate.csv", |
| 64 | + }, |
| 65 | + 2020: { |
| 66 | + by_city: "/dataset/voteData/cleaned/legislator/2020/by_district.csv", |
| 67 | + candidate: "/dataset/voteData/cleaned/legislator/2020/candidate.csv", |
| 68 | + }, |
| 69 | + }, |
| 70 | + }; |
| 71 | + const years = ["2016", "2020"]; |
| 72 | +</script> |
| 73 | + |
| 74 | +<!-- Choropleth Map --> |
| 75 | +<script> |
| 76 | + var data = [{ |
| 77 | + type: "choroplethmapbox", locations: ['臺北市'], z: [-50], |
| 78 | + geojson: "Taiwan_geo.json" |
| 79 | + }]; |
| 80 | + |
| 81 | + var layout = {mapbox: {center: {lon: 121, lat: 23.5}, zoom: 7}, |
| 82 | + width: 1000, height:1000}; |
| 83 | + |
| 84 | + var config = {mapboxAccessToken: "pk.eyJ1IjoiYTA1MTI4IiwiYSI6ImNsY2JybmJyYTIyZzEzb2w3dGl3cXpkdXYifQ.aIV8apormocbhm8GpqbySg"}; |
| 85 | + |
| 86 | + Plotly.newPlot('map', data, layout, config); |
| 87 | +</script> |
| 88 | + |
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