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All Kickstarter projects grouped by cities
Raw
.block
license: gpl-3.0
Raw
README.md

Bubble chart showing 100.000 Kickstarter projects. Based on the data and idea of Polygraph but trying to reorganize the colors. Color represents the project category, size the number of backers.

forked from mbostock's block: Bubble Chart

forked from john-guerra's block: Bubble Chart d3 v4

Raw
city_map_5.csv
city_id city_state latitude longitude population bounding_box
1 New York NY 40.706577301026 -73.882373809815 8550405 ---\n- -74.287002563477\n- 40.409755706787\n- -73.477745056152\n- 41.003398895264\n
2 Los Angeles CA 34.018239974976 -118.396377563475 3884307 ---\n- -118.68238067627\n- 33.695030212402\n- -118.11037445068\n- 34.341449737549\n
3 San Francisco CA 37.777643203736 -122.447261810305 837442 ---\n- -122.56141662598\n- 37.685516357422\n- -122.33310699463\n- 37.869770050049\n
4 Chicago IL 41.840885162354 -87.729518890381 2719000 ---\n- -87.982803344727\n- 41.607227325439\n- -87.476234436035\n- 42.074542999268\n
5 Seattle WA 47.612010955811 -122.305038452145 652405 ---\n- -122.46631622314\n- 47.40340423584\n- -122.14376068115\n- 47.820617675781\n
6 Portland OR 45.538421630860 -122.666431427005 609456 ---\n- -122.89488220215\n- 45.399112701416\n- -122.43798065186\n- 45.677730560303\n
7 Boston MA 42.332338333130 -71.045619964600 645966 ---\n- -71.200416564941\n- 42.206142425537\n- -70.890823364258\n- 42.458534240723\n
8 Austin TX 30.326808929443 -97.758968353272 885400 ---\n- -97.938652038574\n- 30.107877731323\n- -97.579284667969\n- 30.545740127563\n
9 Nashville TN 36.191211700440 -86.792076110840 659042 ---\n- -87.056602478027\n- 35.970085144043\n- -86.527549743652\n- 36.412338256836\n
10 Philadelphia PA 40.013805389405 -75.123245239258 1553000 ---\n- -75.305595397949\n- 39.853588104248\n- -74.940895080566\n- 40.174022674561\n
11 Minneapolis MN 45.023744583130 -93.264568328858 400070 ---\n- -93.440948486328\n- 44.84029006958\n- -93.088188171387\n- 45.20719909668\n
12 San Diego CA 32.805479049683 -117.112926483150 1356000 ---\n- -117.32033538818\n- 32.509761810303\n- -116.90551757812\n- 33.101196289062\n
13 Atlanta GA 33.813949584961 -84.415809631348 447841 ---\n- -84.592147827148\n- 33.571758270264\n- -84.239471435547\n- 34.056140899658\n
14 Washington DC 38.920152664185 -76.995414733886 658893 ---\n- -77.131103515625\n- 38.780132293701\n- -76.859725952148\n- 39.060173034668\n
15 Denver CO 39.773494720459 -104.897109985355 649495 ---\n- -105.21083068848\n- 39.590194702148\n- -104.58338928223\n- 39.95679473877\n
16 Oakland CA 37.814783096314 -122.252685546875 406253 ---\n- -122.38859558105\n- 37.696182250977\n- -122.1167755127\n- 37.93338394165\n
17 Dallas TX 32.832572937012 -96.799346923828 1258000 ---\n- -97.038223266602\n- 32.59708404541\n- -96.560470581055\n- 33.068061828613\n
18 Pittsburgh PA 40.432306289673 -79.953876495362 305841 ---\n- -80.130020141602\n- 40.329795837402\n- -79.777732849121\n- 40.534816741943\n
19 Salt Lake City UT 40.729885101319 -111.833744049070 191180 ---\n- -112.16431427002\n- 40.539836883545\n- -111.50317382812\n- 40.919933319092\n
20 Baltimore MD 39.285652160645 -76.620155334473 622104 ---\n- -76.756240844727\n- 39.163410186768\n- -76.484069824219\n- 39.407894134521\n
21 New Orleans LA 30.015501976013 -89.948886871338 378715 ---\n- -90.177154541016\n- 29.861404418945\n- -89.72061920166\n- 30.169599533081\n
22 Phoenix AZ 33.583984375000 -112.106609344485 1513000 ---\n- -112.35758209229\n- 33.267467498779\n- -111.85563659668\n- 33.900501251221\n
23 Houston TX 29.856493949890 -95.417060852051 2196000 ---\n- -95.853569030762\n- 29.484748840332\n- -94.98055267334\n- 30.228239059448\n
24 Orlando FL 28.490674972534 -81.356910705566 255483 ---\n- -81.62215423584\n- 28.307252883911\n- -81.091667175293\n- 28.674097061157\n
25 Detroit MI 42.354639053345 -83.102840423584 688701 ---\n- -83.319839477539\n- 42.229080200195\n- -82.885841369629\n- 42.480197906494\n
26 St. Louis MO 38.635620117188 -90.308238983154 315685 ---\n- -90.472457885742\n- 38.498741149902\n- -90.144020080566\n- 38.772499084473\n
27 Columbus OH 39.995920181275 -82.974956512451 850106 ---\n- -83.167251586914\n- 39.839385986328\n- -82.782661437988\n- 40.152454376221\n
28 Miami FL 25.788707733155 -80.250251770020 441003 ---\n- -80.440383911133\n- 25.558006286621\n- -80.060119628906\n- 26.019409179688\n
29 Kansas City MO 39.075366973877 -94.575485229492 475378 ---\n- -94.767425537109\n- 38.827823638916\n- -94.383544921875\n- 39.322910308838\n
30 Las Vegas NV 36.159383773804 -115.184368133545 623747 ---\n- -115.40588378906\n- 35.944103240967\n- -114.96285247803\n- 36.374664306641\n
31 Tucson AZ 32.180599212647 -110.891246795655 531641 ---\n- -111.07669830322\n- 32.035182952881\n- -110.70579528809\n- 32.326015472412\n
32 Cleveland OH 41.501890182495 -81.654659271240 388072 ---\n- -81.908996582031\n- 41.340358734131\n- -81.400321960449\n- 41.663421630859\n
33 San Jose CA 37.319139480591 -121.849975585935 1026908 ---\n- -122.05451965332\n- 37.126987457275\n- -121.64543151855\n- 37.511291503906\n
34 Boulder CO 40.035774230957 -105.282112121585 107349 ---\n- -105.43853759766\n- 39.914772033691\n- -105.12568664551\n- 40.156776428223\n
35 Cincinnati OH 39.133911132813 -84.538906097412 298550 ---\n- -84.732940673828\n- 39.022441864014\n- -84.344871520996\n- 39.245380401611\n
36 Providence RI 41.825307846070 -71.407291412354 179207 ---\n- -71.495063781738\n- 41.756118774414\n- -71.319519042969\n- 41.894496917725\n
37 Sacramento CA 38.596345901490 -121.417602539065 490712 ---\n- -121.5799407959\n- 38.43278503418\n- -121.25526428223\n- 38.759906768799\n
38 Indianapolis IN 39.783233642578 -86.151756286621 853173 ---\n- -86.367218017578\n- 39.606479644775\n- -85.936294555664\n- 39.959987640381\n
39 Milwaukee WI 43.053672790528 -87.946819305420 600155 ---\n- -88.095008850098\n- 42.903877258301\n- -87.798629760742\n- 43.203468322754\n
40 Madison WI 43.056749343872 -89.414928436279 248951 ---\n- -89.571411132812\n- 42.928966522217\n- -89.258445739746\n- 43.184532165527\n
41 Richmond VA 37.506361007691 -77.448028564453 220289 ---\n- -77.617889404297\n- 37.349674224854\n- -77.278167724609\n- 37.663047790527\n
42 Berkeley CA 37.879423141480 -122.288604736330 120972 ---\n- -122.37190246582\n- 37.821350097656\n- -122.20530700684\n- 37.937496185303\n
43 Savannah GA 32.049282073975 -81.098953247070 145674 ---\n- -81.184677124023\n- 31.936721801758\n- -81.013229370117\n- 32.161842346191\n
44 Tampa FL 27.999587059021 -82.477714538575 369075 ---\n- -82.693916320801\n- 27.816608428955\n- -82.261512756348\n- 28.182565689087\n
45 Grand Rapids MI 42.9634 -85.6681 195097 ---\n- -85.749450683594\n- 42.866069793701\n- -85.533027648926\n- 43.041103363037\n
46 Raleigh NC 35.787322998047 -78.625759124756 451066 ---\n- -78.805961608887\n- 35.570526123047\n- -78.445556640625\n- 36.004119873047\n
47 Ann Arbor MI 42.271152496338 -83.733390808106 117070 ---\n- -83.88459777832\n- 42.182922363281\n- -83.582183837891\n- 42.359382629395\n
48 Rochester NY 43.174661636353 -77.610042572022 209802 ---\n- -77.709053039551\n- 43.073902130127\n- -77.511032104492\n- 43.275421142578\n
49 Charlotte NC 35.225978851319 -80.826972961426 827097 ---\n- -81.031806945801\n- 34.999031066895\n- -80.622138977051\n- 35.452926635742\n
50 Provo UT 40.258039474487 -111.653549194335 115264 ---\n- -111.74674987793\n- 40.173198699951\n- -111.56034851074\n- 40.342880249023\n
51 Cambridge MA 42.379587173462 -71.117202758789 110402 ---\n- -71.177726745605\n- 42.345428466797\n- -71.056678771973\n- 42.413745880127\n
52 Asheville NC 35.548343658448 -82.555904388428 87236 ---\n- -82.647743225098\n- 35.431510925293\n- -82.464065551758\n- 35.665176391602\n
53 St. Paul MN 44.907003402710 -93.090122222901 294873 ---\n- -93.24715423584\n- 44.786880493164\n- -92.933090209961\n- 45.027126312256\n
54 Albuquerque NM 35.095998764038 -106.580200195315 559121 ---\n- -106.81017303467\n- 34.943714141846\n- -106.35022735596\n- 35.24828338623\n
55 San Antonio TX 29.466041564942 -98.507839202881 1469845 ---\n- -98.755653381348\n- 29.232334136963\n- -98.260025024414\n- 29.69974899292\n
56 Portland ME 43.649669647217 -70.270099639892 66318 ---\n- -70.39249420166\n- 43.568519592285\n- -70.147705078125\n- 43.730819702148\n
57 Santa Cruz CA 37.402074813843 -122.194534301755 62864 ---\n- -122.46185302734\n- 36.523571014404\n- -121.92721557617\n- 38.280578613281\n
58 Durham NC 35.976833343506 -78.912662506104 257636 ---\n- -79.064994812012\n- 35.828548431396\n- -78.760330200195\n- 36.125118255615\n
59 Honolulu HI 21.444651603699 -157.879631042480 352769 ---\n- -158.11016845703\n- 21.223461151123\n- -157.64909362793\n- 21.665842056274\n
60 Boise ID 43.603206634522 -116.216068267825 218281 ---\n- -116.36724853516\n- 43.511695861816\n- -116.06488800049\n- 43.694717407227\n
61 Louisville KY 38.228870391846 -85.729377746582 615366 ---\n- -85.849227905273\n- 38.146385192871\n- -85.609527587891\n- 38.31135559082\n
62 Black Rock City NV 40.665184020996 -119.344482421875 70000 ---\n- -119.40619659424\n- 40.605613708496\n- -119.28276824951\n- 40.724754333496\n
63 Long Beach CA 33.785112380982 -118.182636260985 474140 ---\n- -118.28567504883\n- 33.697635650635\n- -118.07959747314\n- 33.872589111328\n
64 Burlington VT 44.482067108155 -73.246837615967 42284 ---\n- -73.32103729248\n- 44.427589416504\n- -73.172637939453\n- 44.536544799805\n
65 Buffalo NY 42.906599044800 -78.830677032471 258071 ---\n- -78.940200805664\n- 42.789604187012\n- -78.721153259277\n- 43.023593902588\n
66 Santa Barbara CA 34.432859420776 -119.699863433835 90412 ---\n- -119.76951599121\n- 34.388706207275\n- -119.63021087646\n- 34.477012634277\n
67 Charlottesville VA 38.064289093018 -78.484169006348 44349 ---\n- -78.570007324219\n- 37.97696685791\n- -78.398330688477\n- 38.151611328125\n
68 Charleston SC 32.800279617310 -79.970191955566 132609 ---\n- -80.072952270508\n- 32.680038452148\n- -79.867431640625\n- 32.920520782471\n
69 Eugene OR 44.058530807495 -123.098022460935 163460 ---\n- -123.20896911621\n- 43.979682922363\n- -122.98707580566\n- 44.137378692627\n
70 Tulsa OK 36.128057479858 -95.912395477295 403505 ---\n- -96.071060180664\n- 36.006511688232\n- -95.753730773926\n- 36.249603271484\n
71 New Haven CT 41.297464370728 -72.931396484375 130322 ---\n- -73.011917114258\n- 41.234451293945\n- -72.850875854492\n- 41.36047744751\n
72 Syracuse NY 43.041278839112 -76.141174316406 144142 ---\n- -76.222717285156\n- 42.976757049561\n- -76.059631347656\n- 43.105800628662\n
73 Jacksonville FL 30.340986251832 -81.701900482178 868031 ---\n- -82.018058776855\n- 30.094827651978\n- -81.3857421875\n- 30.587144851685\n
74 Santa Monica CA 34.025335311890 -118.495040893555 92472 ---\n- -118.56084442139\n- 33.956066131592\n- -118.42923736572\n- 34.094604492188\n
75 Santa Fe NM 35.667537689209 -105.966724395750 69972 ---\n- -106.11702728271\n- 35.572959899902\n- -105.81642150879\n- 35.762115478516\n
76 Fort Worth TX 32.754192352295 -97.295284271240 833319 ---\n- -97.540565490723\n- 32.54500579834\n- -97.050003051758\n- 32.96337890625\n
77 Memphis TN 35.126482009888 -89.931720733642 655770 ---\n- -90.141235351562\n- 34.973178863525\n- -89.722206115723\n- 35.27978515625\n
78 Orange CA 33.818319320679 -117.829265594480 140992 ---\n- -117.94166564941\n- 33.758152008057\n- -117.71686553955\n- 33.878486633301\n
79 Bellingham WA 48.753416061402 -122.489719390870 82631 ---\n- -122.60050201416\n- 48.673164367676\n- -122.37893676758\n- 48.833667755127\n
80 Athens GA 33.948089599610 -83.363376617432 122604 ---\n- -83.483390808105\n- 33.862003326416\n- -83.243362426758\n- 34.034175872803\n
81 Springfield MO 37.185358047486 -93.290458679200 165378 ---\n- -93.393508911133\n- 37.102447509766\n- -93.187408447266\n- 37.268268585205\n
82 Denton TX 33.202152252197 -97.117023468017 131044 ---\n- -97.211067199707\n- 33.116527557373\n- -97.022979736328\n- 33.287776947021\n
83 Oklahoma City OK 35.480123519898 -97.526165008545 631346 ---\n- -97.692352294922\n- 35.290328979492\n- -97.359977722168\n- 35.669918060303\n
84 Bozeman MT 45.696117401124 -111.005966186525 39860 ---\n- -111.22348022461\n- 45.550601959229\n- -110.78845214844\n- 45.841632843018\n
85 Colorado Springs CO 38.848209381104 -104.797710418700 456568 ---\n- -104.92852783203\n- 38.700714111328\n- -104.66689300537\n- 38.995704650879\n
86 Greensboro NC 36.081953048706 -79.828304290772 285342 ---\n- -79.967834472656\n- 35.985752105713\n- -79.688774108887\n- 36.178153991699\n
87 Lexington KY 38.016494750977 -84.475677490234 314488 ---\n- -84.669052124023\n- 37.848152160645\n- -84.282302856445\n- 38.184837341309\n
88 Columbia SC 34.053157806397 -81.096736907959 133803 ---\n- -81.481300354004\n- 33.91423034668\n- -80.712173461914\n- 34.192085266113\n
89 Omaha NE 41.278352737427 -96.046394348145 443885 ---\n- -96.217163085938\n- 41.160869598389\n- -95.875625610352\n- 41.395835876465\n
90 Albany NY 42.656948089600 -73.786499023438 98424 ---\n- -73.850830078125\n- 42.604682922363\n- -73.72216796875\n- 42.709213256836\n
91 Somerville MA 42.391500473023 -71.100463867188 78804 ---\n- -71.137924194336\n- 42.365203857422\n- -71.063003540039\n- 42.417797088623\n
92 Palo Alto CA 37.428852081299 -122.156639099125 66642 ---\n- -122.24933624268\n- 37.350372314453\n- -122.06394195557\n- 37.507331848145\n
93 Spokane WA 47.679931640625 -117.409084320065 213272 ---\n- -117.52263641357\n- 47.590881347656\n- -117.29553222656\n- 47.768981933594\n
94 Bloomington IN 39.167499542237 -86.534294128418 82575 ---\n- -86.610359191895\n- 39.107151031494\n- -86.458229064941\n- 39.227848052979\n
95 Greenville SC 34.861907958985 -82.385963439941 61397 ---\n- -82.468238830566\n- 34.775634765625\n- -82.303688049316\n- 34.948181152344\n
96 Irvine CA 33.685895919800 -117.784126281735 256927 ---\n- -117.88820648193\n- 33.594131469727\n- -117.68004608154\n- 33.777660369873\n
97 Birmingham AL 33.501335144043 -86.796535491943 212461 ---\n- -87.040344238281\n- 33.331317901611\n- -86.552726745605\n- 33.671352386475\n
98 Chattanooga TN 35.081394195557 -85.259548187256 176588 ---\n- -85.424194335938\n- 34.95792388916\n- -85.094902038574\n- 35.204864501953\n
99 Knoxville TN 35.972425460816 -83.953208923340 185291 ---\n- -84.131645202637\n- 35.875907897949\n- -83.774772644043\n- 36.068943023682\n
100 Reno NV 39.511653900147 -119.881504058835 241445 ---\n- -120.03936767578\n- 39.320701599121\n- -119.72364044189\n- 39.702606201172\n
101 Dayton OH 39.754037857056 -84.177890777587 140599 ---\n- -84.311744689941\n- 39.654357910156\n- -84.044036865234\n- 39.853717803955\n
102 Olympia WA 47.050598144531 -122.853885650635 48338 ---\n- -123.00842285156\n- 46.974571228027\n- -122.69934844971\n- 47.126625061035\n
103 Missoula MT 46.870380401612 -114.000953674315 69122 ---\n- -114.08383178711\n- 46.804847717285\n- -113.91807556152\n- 46.935913085938\n
104 Wilmington NC 34.205772399903 -77.864322662354 115933 ---\n- -77.997802734375\n- 34.102779388428\n- -77.730842590332\n- 34.308765411377\n
105 Ithaca NY 42.438610076905 -76.501892089844 30515 ---\n- -76.585517883301\n- 42.391513824463\n- -76.418266296387\n- 42.485706329346\n
106 Evanston IL 42.050825119019 -87.697616577148 75570 ---\n- -87.744850158691\n- 41.994575500488\n- -87.650382995605\n- 42.107074737549\n
107 Tallahassee FL 30.461129188538 -84.274120330810 189907 ---\n- -84.406326293945\n- 30.346990585327\n- -84.141914367676\n- 30.575267791748\n
108 Lancaster PA 40.037454605103 -76.308513641358 161103 ---\n- -76.379699707031\n- 39.981998443604\n- -76.237327575684\n- 40.092910766602\n
109 Tempe AZ 33.386764526367 -111.937965393070 175826 ---\n- -112.01159667969\n- 33.292999267578\n- -111.86433410645\n- 33.480529785156\n
110 Fort Collins CO 40.552579879761 -105.073425292965 161175 ---\n- -105.16278839111\n- 40.460235595703\n- -104.98406219482\n- 40.644924163818\n
111 Lincoln NE 40.804924011231 -96.690525054932 277348 ---\n- -96.796119689941\n- 40.71284866333\n- -96.584930419922\n- 40.896999359131\n
112 Sarasota FL 27.322411537171 -82.514755249023 53326 ---\n- -82.631950378418\n- 27.219638824463\n- -82.397560119629\n- 27.425184249878\n
113 Pasadena CA 34.383003234864 -117.987312316895 153784 ---\n- -118.2307434082\n- 34.055362701416\n- -117.74388122559\n- 34.710643768311\n
114 Tacoma WA 47.203907012940 -122.478595733645 207948 ---\n- -122.66399383545\n- 47.081165313721\n- -122.29319763184\n- 47.326648712158\n
115 Burbank CA 34.195165634156 -118.337600708005 105319 ---\n- -118.4065246582\n- 34.132179260254\n- -118.26867675781\n- 34.258152008057\n
116 Chapel Hill NC 35.866436004639 -79.070480346679 59635 ---\n- -79.152694702148\n- 35.766536712646\n- -78.988265991211\n- 35.966335296631\n
117 Fort Lauderdale FL 26.147892951966 -80.188789367676 178590 ---\n- -80.32218170166\n- 26.027940750122\n- -80.055397033691\n- 26.267845153809\n
118 Anchorage AK 61.165851593018 -149.560783386235 298695 ---\n- -150.1079864502\n- 60.90168762207\n- -149.01358032227\n- 61.430015563965\n
119 Northampton MA 42.326967239380 -72.635120391846 28495 ---\n- -72.696617126465\n- 42.282009124756\n- -72.573623657227\n- 42.371925354004\n
120 Lawrence KS 38.973061000000 -95.236526000000 90811 ---\n- -95.33532\n- 38.912571\n- -95.172699\n- 39.033588\n
121 Hartford CT 41.758859634400 -72.686496734619 124006 ---\n- -72.755126953125\n- 41.68786239624\n- -72.617866516113\n- 41.829856872559\n
122 Virginia Beach VA 36.795871734620 -76.053306579590 452745 ---\n- -76.218635559082\n- 36.558471679688\n- -75.887977600098\n- 37.033271789551\n
123 Mountain View CA 37.396455764771 -122.081436157225 77846 ---\n- -122.13355255127\n- 37.338439941406\n- -122.02931976318\n- 37.454471588135\n
124 Huntington Beach CA 33.698020935059 -118.008907318115 201899 ---\n- -118.08834075928\n- 33.627769470215\n- -117.92947387695\n- 33.768272399902\n
125 Lansing MI 42.717645645142 -84.559490203858 115056 ---\n- -84.646179199219\n- 42.651195526123\n- -84.472801208496\n- 42.78409576416\n
126 Jersey City NJ 40.704143524170 -74.040191650391 264290 ---\n- -74.127586364746\n- 40.624767303467\n- -73.952796936035\n- 40.783519744873\n
127 Kalamazoo MI 42.279705047608 -85.604866027832 75548 ---\n- -85.696105957031\n- 42.216091156006\n- -85.513626098633\n- 42.343318939209\n
128 Des Moines IA 41.591337203980 -93.609844207764 210330 ---\n- -93.743934631348\n- 41.502902984619\n- -93.47575378418\n- 41.67977142334\n
129 San Luis Obispo CA 35.284353256226 -120.668804168705 46377 ---\n- -120.72369384766\n- 35.227672576904\n- -120.61391448975\n- 35.341033935547\n
130 Toledo OH 41.662519454956 -83.581287384034 279789 ---\n- -83.71053314209\n- 41.574970245361\n- -83.452041625977\n- 41.750068664551\n
131 Columbia MO 38.951366424561 -92.335742950440 133803 ---\n- -92.426399230957\n- 38.891136169434\n- -92.245086669922\n- 39.011596679688\n
132 Winston-Salem NC 36.108188629150 -80.246788024903 241218 ---\n- -80.430145263672\n- 35.990081787109\n- -80.063430786133\n- 36.226295471191\n
133 Little Rock AR 34.726249694824 -92.341236114502 197992 ---\n- -92.483825683594\n- 34.604034423828\n- -92.19864654541\n- 34.84846496582\n
134 Baton Rouge LA 30.438614845276 -91.099308013916 228590 ---\n- -91.24299621582\n- 30.320035934448\n- -90.955619812012\n- 30.557193756104\n
135 Ashland OR 42.196846008301 -122.694732666015 20713 ---\n- -122.74921417236\n- 42.166709899902\n- -122.64025115967\n- 42.226982116699\n
136 St. Petersburg FL 27.780269622803 -82.707313537598 257083 ---\n- -82.837860107422\n- 27.646078109741\n- -82.576766967773\n- 27.914461135864\n
137 Scottsdale AZ 33.661760330200 -111.873146057130 236839 ---\n- -112.00012207031\n- 33.447887420654\n- -111.74617004395\n- 33.875633239746\n
138 Amherst MA 42.363775253296 -72.509822845459 37819 ---\n- -72.55167388916\n- 42.308292388916\n- -72.467971801758\n- 42.419258117676\n
139 Fresno CA 36.786609649659 -119.780998229980 520052 ---\n- -119.91851806641\n- 36.661533355713\n- -119.64347839355\n- 36.911685943604\n
140 Vancouver WA 45.662916183472 -122.589099884035 172860 ---\n- -122.76848602295\n- 45.575500488281\n- -122.40971374512\n- 45.750331878662\n
141 Santa Rosa CA 38.439472198487 -122.707214355465 174972 ---\n- -122.83683776855\n- 38.376461029053\n- -122.57759094238\n- 38.50248336792\n
142 Fort Wayne IN 41.079948425293 -85.140361785889 260326 ---\n- -85.275146484375\n- 40.971683502197\n- -85.005577087402\n- 41.188213348389\n
143 Orem UT 40.287059783936 -111.692382812500 91648 ---\n- -111.77333068848\n- 40.23804473877\n- -111.61143493652\n- 40.336074829102\n
144 Mesa AZ 33.428762435913 -111.734291076660 471825 ---\n- -111.90510559082\n- 33.326934814453\n- -111.5634765625\n- 33.530590057373\n
145 Akron OH 41.089349746704 -81.518779754639 197542 ---\n- -81.615997314453\n- 41.018699645996\n- -81.421562194824\n- 41.159999847412\n
146 Fayetteville AR 36.050920486450 -94.192504882813 201963 ---\n- -94.330757141113\n- 35.961750030518\n- -94.054252624512\n- 36.140090942383\n
147 State College PA 40.795457839966 -77.864219665528 41757 ---\n- -77.916542053223\n- 40.759876251221\n- -77.811897277832\n- 40.831039428711\n
148 Iowa City IA 41.668243408203 -91.551055908203 71591 ---\n- -91.642112731934\n- 41.607822418213\n- -91.459999084473\n- 41.728664398193\n
149 Ventura CA 34.265268325806 -119.242515563965 109708 ---\n- -119.34199523926\n- 34.211910247803\n- -119.14303588867\n- 34.318626403809\n
150 Lafayette LA 30.212817192078 -92.039878845215 127657 ---\n- -92.094787597656\n- 30.134233474731\n- -91.984970092773\n- 30.291400909424\n
151 Wichita KS 37.683626174927 -97.326313018799 389965 ---\n- -97.513999938965\n- 37.590702056885\n- -97.138626098633\n- 37.776550292969\n
152 Anaheim CA 33.843378067017 -117.847328186035 350742 ---\n- -118.02923583984\n- 33.781356811523\n- -117.66542053223\n- 33.90539932251\n
153 Riverside CA 33.927299499512 -117.384098052980 322424 ---\n- -117.54750823975\n- 33.809871673584\n- -117.22068786621\n- 34.044727325439\n
154 Duluth MN 46.764358520508 -92.113021850586 86265 ---\n- -92.289276123047\n- 46.649906158447\n- -91.936767578125\n- 46.878810882568\n
155 York PA 39.955772399902 -76.702991485596 43935 ---\n- -76.794219970703\n- 39.881080627441\n- -76.611763000488\n- 40.030464172363\n
156 Gainesville FL 29.660666465759 -82.350040435791 130128 ---\n- -82.474967956543\n- 29.565351486206\n- -82.225112915039\n- 29.755981445312\n
Raw
index.html
<!DOCTYPE html>
<meta charset="utf-8">
<style>
text {
font: 10px sans-serif;
opacity: 0.8;
pointer-events: none;
}
circle {
stroke-width: 1px;
}
.controls {
font: 18px sans-serif;
}
</style>
<body>
<div class="controls">
<input type="checkbox" id="checkPolygraphColors"> Use Polygraph Colors
<input type="checkbox" id="checkGroupByCategories"> Group by Categories
</div>
<div id="chart"></div>
<script src="//d3js.org/d3.v4.js"></script>
<script>
var diameter = 960,
format = d3.format(",d"),
colorStandard = d3.scaleOrdinal(d3.schemeCategory20c);
var categoriesAll = ['Music', 'Film & Video', 'Publishing', 'Art', 'Games', 'Design',"Theater","Food","Comics","Technology","Fashion","Photography","Dance","Crafts","Journalism"];
var categoryClassesBig = d3.scaleOrdinal().domain(categoriesAll).range(["music", 'film','publishing','art','games','design',"theater","food","comics","technology","fashion","photography","dance","crafts","journalism","other"]);
var categoriesToMap = ['Music', 'Film & Video', 'Publishing', 'Art', 'Games', 'Design', "Theater","Food","Comics","Technology"];
var categoryClassesSmall = d3.scaleOrdinal().domain(categoriesToMap).range(["music", 'film','publishing','art','games','design', "theater","food","comics","technology","other"]);
var categoryColorsRange = ["#F44336", //'Music'
"#ff7f00", //'Film & Video'
"#cab2d6", //'Publishing'
"#268bd0", //'Art'
"#673AB7", //'Games'
"#bbb", //'Design'
"#fdbf6f", //"Theater"
"#b2df8a", //"Food"
"#a6cee3", //"Comics"
"#4CAF50", //"Technology"
"#333" //"other"
];
var colorPolygraph = d3.scaleOrdinal().domain(categoryClassesSmall.range()).range(categoryColorsRange);
var bubble = d3.pack()
.size([diameter, diameter])
.padding(0);
var svg = d3.select("body").append("svg")
.attr("width", diameter)
.attr("height", diameter)
.attr("class", "bubble");
function aggreativeHierarchy(data, hierarchy) {
var dNodes = {};
var root = createNode("/", "root");
function createNode(id, name, children) {
var node = {
id: id ,
name: name || id.split("/").slice(-1)[0] || '',
children: children || []
};
dNodes[id] = node;
return node;
}
function getParentId(id) {
var path = id.split("/");
return path.slice(0, path.length-1).join("/") || "/";
}
function getOrCreateParent(id) {
if (id in dNodes)
return dNodes[id];
else {
//The parent doesn't exist yet
var node = createNode(id);
var parentId = getParentId(id);
node.parent = getOrCreateParent(parentId);
node.parent.children.push(node)
return node;
}
}
data.forEach(function (d, i) {
var id = hierarchy(d, i , data);
dNodes[id] = d;
var parentId = getParentId(id);
d.parent = getOrCreateParent(parentId);
d.parent.children.push(d);
});
return root;
}
function ready(error,
unique_subs,
// city_data,
city_meta,
project_backers
// uSmap,
// ipInfo
)
{
if (error) throw error;
function update() {
groupCategories = d3.select("#checkGroupByCategories").property("checked");
usePolygraphColors = d3.select("#checkPolygraphColors").property("checked");
var color = usePolygraphColors ? colorPolygraph : colorStandard;
var categoryClasses = usePolygraphColors ? categoryClassesSmall : categoryClassesBig;
var mapSubs = d3.map(unique_subs, function (d) { return d.sub_id;});
var mapSubsCounts = d3.map();
var mapCities = d3.map(city_meta, function (d) { return d.city_id;});
var mapCityCounts = d3.map();
//Preprocess data
project_backers.forEach(function (d) {
d.backers_count = +d.backers_count;
d.city = mapCities.get(d.city_id);
d.sub = mapSubs.get(d.sub_id);
//Aggregate categories
d.subcategoryOther = categoryClasses(d.sub.subcategory);
//Count subCategory totals
if (!mapSubsCounts.has(d.subcategoryOther)) {
mapSubsCounts.set(d.subcategoryOther, 0);
}
mapSubsCounts.set(d.subcategoryOther, mapSubsCounts.get(d.subcategoryOther)+1);
//Count city totals
if (!mapCityCounts.has(d.city_id)) {
mapCityCounts.set(d.city_id, 0);
}
mapCityCounts.set(d.city_id, mapCityCounts.get(d.city_id)+1);
});
//Create a dynamic hierarchy from data;
data = aggreativeHierarchy(project_backers, function (d) {
if (groupCategories){
return "/" + d.city_id +
"/" + d.sub_id +
"/" + d.project_id;
} else {
return "/" + d.city_id +
"/" + d.project_id;
}
});
var root = d3.hierarchy(data)
.sum(function(d) { return d.backers_count; })
.sort(function(a, b) {
var citySort = (a.depth === 1 && b.depth === 1) ?
d3.descending(mapCityCounts.get(a.data.name), mapCityCounts.get(b.data.name)) :
0 ;
//Sort by cities, then by categories that have more projects first, then by count
return citySort ||
d3.descending(mapSubsCounts.get(a.data.subcategoryOther), mapSubsCounts.get(b.data.subcategoryOther)) ||
b.data.backers_count - a.data.backers_count ;
});
bubble(root);
d3.selectAll(".node").remove();
var node = svg.selectAll(".node")
.data(root.descendants()
.sort(function (a, b) { return d3.descending(a.depth, b.depth); }) // To show the labels first
)
.enter().append("g")
.attr("class", "node")
.attr("transform", function(d) { return "translate(" + d.x + "," + d.y + ")"; });
node.append("title")
.filter(function (d) { return d.children === undefined; })
.text(function(d) {
return "Project id: " + d.data.project_id +
" Category:" + d.data.sub.subcategory +
" Backers: " + format(d.data.backers_count); });
node.append("circle")
.attr("r", function(d) { return d.r; })
.style("pointer-events", function (d) { return d.children ? "none" : "auto"; }) // Don't want parents to respond to events
.style("fill", function(d) {
return d.children ? "none" : color(d.data.subcategoryOther);
})
.style("stroke", function(d) {
return d.children ? "#ccc" : "none";
});
;
// Only add label to the first level
node
.filter(function (d) { return d.children && d.depth ===1;})
.append("text")
.attr("dy", ".3em")
.style("text-anchor", "middle")
.style("font-size", function(d) { return d.r > 50 ? d.r/4 + "px" : "10px"})
.text(function(d) {
return mapCities.get(d.data.name).city_state.substring(0, d.r / 3);
});
}
function redraw() {
d3.selectAll(".node").remove();
update();
}
d3.select("#checkPolygraphColors").on("change", redraw);
d3.select("#checkGroupByCategories").on("change", redraw);
redraw();
}
d3.queue()
.defer(d3.csv, "unique_subs.csv") // 67KB
// .defer(d3.csv, "city_data_2.csv") // 67KB
.defer(d3.csv, "city_map_5.csv") // 23KB
.defer(d3.csv, "project_raw_4.csv") // 2.4MB
// .defer(d3.json, "map.json") //600kb
// .defer(d3.json, 'http://ipinfo.io')
// .defer()
.await(ready);
d3.select(self.frameElement).style("height", diameter + "px");
</script>
Raw
project_raw_4.csv
We can't make this file beautiful and searchable because it's too large.
"project_id","backers_count","x_coor","y_coor","city_id","parent_id","sub_id"
1955357092,219382,-189.25,-212.07,2,9,136
557230947,105857,-47.73,202.35,2,14,151
1755266685,91585,54.42,19.43,12,7,93
1929840910,87142,-119.69,118.50,3,9,148
1799979574,78471,-50.78,-33.12,92,5,113
458565935,73986,-47.97,-27.50,96,9,148
506924864,68929,8.35,7.77,92,5,113
1494516688,63758,16.41,-44.52,17,9,136
1033978702,63416,-88.50,-275.21,2,9,64
342886736,62642,-76.22,29.92,6,5,113
1454565733,48270,52.47,-6.20,11,7,139
1871494789,46520,167.11,75.50,2,7,93
565687737,44949,-83.26,-109.83,4,5,113
275698538,42713,-17.97,-49.48,37,9,148
1552929469,39560,-40.32,40.67,16,14,68
577817754,36781,-52.61,85.55,3,14,68
1920909267,34565,-12.21,-176.79,4,9,136
1867183224,34397,-250.29,-165.25,2,9,148
1639484648,31774,-0.63,141.20,3,9,148
145912648,30546,33.45,-54.43,8,9,136
1050138201,28818,213.14,60.07,1,5,113
101767263,26457,-65.74,-73.51,7,14,68
823772473,24883,-73.99,45.00,7,11,90
97277862,24346,-27.26,-61.92,28,9,148
746498917,24150,28.70,-252.11,2,9,148
721748605,23999,66.24,-151.96,2,7,93
1653584458,23626,37.59,-71.44,12,5,113
1529428631,23331,-24.10,-20.70,113,14,133
785289599,22844,15.18,9.94,33,9,148
132311747,22361,62.80,-28.37,13,9,136
1156271755,22322,-102.29,-80.87,8,9,148
1719494931,22195,-25.56,-6.51,93,9,148
192882728,21808,-51.54,14.37,51,13,120
1928575021,21412,-142.51,-300.52,1,14,58
1045500705,20915,8.86,7.34,13,9,136
2132211052,20242,-3.26,-288.39,1,13,120
1803366943,20042,-91.28,-26.87,8,9,148
27174402,19349,127.36,-26.91,3,14,138
2130407780,18604,-38.31,-30.97,143,14,138
405324430,18558,-49.01,-245.50,2,9,148
1152735261,18220,107.32,69.91,3,14,132
142985209,18209,200.12,-143.14,1,7,6
728438726,17765,-2.72,-56.03,96,9,148
768428035,17744,-42.37,-29.35,82,9,63
1648823174,17739,-54.77,10.88,26,9,136
1966069095,17614,-2.08,-138.49,5,14,133
617487840,17218,-54.18,-17.37,33,14,62
919996644,17029,-204.77,-144.76,3,5,113
474144967,16936,-3.75,-105.96,8,9,148
451052891,16850,-99.73,-145.91,1,7,40
147109898,16459,53.31,-118.23,3,5,113
710638750,16408,15.16,2.71,37,9,148
443600622,16335,-5.26,-16.58,12,5,113
95124697,16180,52.99,23.85,3,14,138
838978564,16038,8.43,-2.00,30,9,136
1576182728,15623,-170.48,104.69,3,9,148
127494612,14964,-14.26,5.10,82,9,136
193329107,14952,-67.28,-76.77,10,2,27
1440273912,14884,0.63,0.81,57,5,144
1121258628,14749,90.77,-254.87,2,9,148
1947034016,14579,-55.95,-51.66,22,9,136
1842403099,14242,-41.23,-84.97,17,7,6
386179120,14175,-46.84,-74.23,8,9,148
131105520,14112,-5.50,-64.43,51,9,148
2091726955,14081,43.75,-102.42,8,9,148
1305329386,13876,-33.30,26.38,17,9,148
797546800,13765,28.14,44.89,5,9,136
1304249523,13647,-105.86,-218.15,2,9,148
738065144,13642,-198.34,180.22,1,6,53
195314440,13512,70.80,-73.93,4,5,113
1194924825,13465,3.56,-32.46,82,9,136
836468866,13454,-262.19,82.93,2,13,20
474140712,13263,-67.78,92.46,5,5,113
323562295,13116,-78.52,-302.96,1,8,59
324708063,12798,-41.80,-55.07,25,9,136
41181241,12626,-230.42,10.34,3,14,17
1873918829,12578,-125.72,-77.63,3,14,62
1941968078,12557,-121.24,-215.44,3,8,59
170672682,12553,120.67,-267.99,1,8,59
1668263241,12521,77.76,36.96,6,5,113
1420270001,12457,-90.75,-102.23,7,9,148
1936815285,12218,-1.30,-17.71,87,9,148
263239619,12187,-5.37,-20.65,5,9,136
1412753497,12011,-34.77,-51.47,13,9,136
1408189919,11749,76.91,218.69,1,6,53
1203243797,11693,-22.84,-231.86,3,13,120
1712444486,11686,7.59,18.55,11,7,25
971891494,11617,-89.01,39.49,12,9,148
1270104074,11611,-142.88,41.52,5,9,148
310731843,11483,37.82,-14.99,22,9,136
1188330700,11406,1.23,29.78,4,5,113
1197252115,11334,-16.13,76.99,8,5,66
1293573522,11281,53.74,-307.49,1,14,9
1890358928,11169,209.94,-29.63,2,11,69
1101572780,11124,-30.21,-50.38,57,14,39
1869942487,10992,-43.36,-44.10,51,5,113
918682713,10926,114.55,167.07,1,5,113
731507691,10877,0.15,-56.04,31,9,136
51884825,10862,-62.51,1.43,13,9,136
1911111579,10809,-6.06,-33.77,69,9,148
1653048335,10666,-193.81,-256.89,2,9,136
2069981750,10613,-91.71,-115.24,2,7,56
108427247,10508,-81.95,-212.29,3,8,59
658110891,10477,-70.45,7.28,92,14,68
1590955787,10354,148.45,-197.01,2,9,148
217543389,10293,-51.04,-102.12,6,8,42
1241205786,10263,-58.49,-40.32,12,14,132
1463771136,10165,44.76,-3.52,14,11,90
794945037,10160,-9.32,-3.60,91,14,138
1376652190,10136,-98.48,-52.13,13,9,136
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