svale/.block

## .block
license: gpl-3.0
height: 720
border: no

## readme.md

      
    Raw
  

              readme.md
            
          
    Morphing Streamgraph.
Visualizing the trends of Norwegian ODA in the 21. century by 3 different dimensions (geographiccally, by sector and by partner).
An extra level of x Axis ticks and labes indicate the different PMs (and governing parties) at different periodes.
Data from Norad.
Inspiration and reference from https://bl.ocks.org/mbostock/4060954 and http://bl.ocks.org/WillTurman/4631136 and https://bl.ocks.org/HarryStevens/c893c7b441298b36f4568bc09df71a1e

  
## geo.csv
Verdensdel,Land/region,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,Total,
Africa,Ghana,5937.78,28303.36,4845.87,5601.61,4354.04,11662.59,7014.94,6566.84,7086.68,5669.66,15452.23,21978.36,45122.88,48082.23,38577.95,40929.49,33061.42,28191.17,23026.74,33712.25,415178.08,
Africa,South Africa,123649.48,129572.98,158627.87,140851.88,117056.7,107655.01,93378.1,90484.49,95099.48,107598.41,227034.62,149683.46,213914.1,-170761.85,132924.16,61008.41,78434.62,60252.62,56303.12,37769.24,2010536.89,
Africa,Somalia,81149.17,176877.92,111278.13,203188.45,283326.21,227035.78,201772.44,216614.49,252756.14,252139.61,209310.06,182965.38,467896.96,203640.83,370385.54,364046.27,345833.94,339909.88,546767.55,543118.68,5580013.44,
Africa,Egypt,9527.77,9550.76,8238.08,4757.68,4662.45,4448.21,3586.91,3432.36,2092.87,1264.39,4319.91,4065.94,10466.69,6755.5,12147.01,16159.7,35568.69,32580.81,34279.38,34958.86,242863.97,
Africa,Cameroon,5715.61,6033.98,8644.96,45830.16,13143.58,11401,11890.59,4740.58,2709.6,2964.39,2558.83,2388.28,2808.46,4843.82,6718.6,6709.86,5566.82,3136.47,14006.61,21775.73,183587.93,
Africa,Togo,41.88,500,350,1723.06,1878.24,1678.52,6200.59,470.68,170,295,500,550,1442.86,1321.75,1558.52,1070,5193.25,1193.25,2677.5,2204.6,31019.7,
Africa,Mozambique,285902.75,336089.25,293222.83,308864.75,383059.36,411509.35,437655.71,412136.92,469268.38,551697.8,504821.15,445418.97,471582.02,503217.24,298250.24,360800.87,264080.31,239397.86,299185.24,341643.8,7617804.81,
Africa,Niger,13062.63,4193.4,23651.19,18936.13,13213.81,13104.02,38665.83,15907.06,9709.82,10692.13,10230.27,21085.82,10176.3,38646.11,58424.68,65530.99,90284.08,122129.53,161671.4,144814.67,884129.86,
Africa,Africa Regional,357882.02,317151.01,380751.53,397777.6,395018.63,556251.21,412653.67,370270.15,366517.71,397927.96,452833.99,382368.52,461984.92,576643.82,548035.27,662973.36,378982.49,315908.05,457761.78,490123.39,8679817.08,
Africa,Rwanda,37723.36,37600.02,19001.56,48621.92,56386.85,42038.79,28997.86,25559.37,43513.69,21483.18,22329.56,26383.06,19022.68,13776.97,13071.38,14411.65,17717.12,21653.29,25476.9,25178.08,559947.29,
Africa,Angola,153965.73,145936.71,157314.93,177271.87,171513.74,166863.82,134686.96,150064.31,125408.19,101555.17,112022.64,79934.66,73161.31,70547.1,58737.11,76814.21,53206.84,65390.75,63577.68,52447.95,2190421.7,
Africa,Malawi,96931.58,59826.52,86698.9,124225.47,199370.05,183090.43,316180.57,323343.95,320539.76,367845.34,399467.26,391119.66,374683.71,403802.98,630214.03,531368.67,589859.64,526089.53,479311.75,475266.34,6879236.12,
Africa,Burundi,49823.79,46973.47,50859.74,81246.43,85983.45,79835.74,66190.54,83931.81,118491.29,145266.37,157644.02,117572.76,97110.78,95515.77,80930.37,45224.61,44099.66,43267.78,35974.08,36700.6,1562643.03,
Africa,Namibia,41723.61,63006.9,33374.9,27201.82,26992.64,18333.76,10510.07,60021.79,17328.42,58658.72,-42223.15,-18010.14,13063.28,13142.63,11630.67,9390.86,11386.81,5271.38,4899.03,5215.04,370919.05,
Africa,South Sudan,,,,,,,,,,,,,349884.35,436333.7,535606.2,598473.58,472370.52,560856.67,603889.06,616370.46,4173784.54,
Africa,Nigeria,5620.22,4192.36,9732.41,24613.16,31499.65,36936.18,18903.2,18677.81,19036.42,35805.63,57557.79,85017.7,66322.23,54283.42,59739.52,79742.15,142362.96,131646.02,284239.51,175821.4,1341749.74,
Africa,Sao Tome & Principe,,913.05,,,,,798.82,606.72,200,46.59,,,,3505.31,1447.82,2111.68,,,,,9629.99,
Africa,Algeria,7419.41,9231.86,18968.64,25786.34,23765.44,10553.24,4782.41,6667.86,7458.41,350,5741.46,6163.6,5056.46,1114.04,624.41,349.3,5692.23,5119.98,5102.9,4676.76,154624.74,
Africa,Chad,1294,1041.1,881.92,,361.97,,11375.75,10102.37,23807,24352.76,13640,10000,-28.69,,824.83,,6000,,2000,,105653,
Africa,Eswatini,956.47,874.97,909.07,1368.11,2731.63,2560.24,2890.3,2776.55,4436.97,13145.73,20274.32,9740.56,10039.69,8529.06,9516.26,4375.83,5048.13,6652.09,3811.24,4085.44,114722.68,
Africa,Seychelles,,,120,36.76,61.8,72.87,,,,,,,,,,,,,,,291.43,
Africa,South of Sahara Regional,97651.71,70289.86,111382.33,134580.21,126100.99,119832.06,197583.56,197429.49,238721.27,317703.41,329740.37,579643.94,414157.61,753043.73,319383.36,299667.57,294486.75,460772.84,670128.84,821836.04,6554135.97,
Africa,Burkina Faso,11712.34,3864.21,2398.36,2931.22,1241.31,1000,1442.73,2346.24,1582.08,1278.99,3312,4965,4270,4436.16,5440.54,4695.43,4083.07,3568.51,22495.93,24172.02,111236.14,
Africa,Guinea-Bissau,160.31,60.72,159.5,200.88,353.94,393.75,317.61,2245.05,4051,2008.32,,,,1000,1.34,140,1332.92,640,1183.92,802.49,15051.75,
Africa,Ethiopia,186540.44,207320.56,146491.56,227401.24,263222.71,229420.75,245204.81,268169.15,198472.35,212741.85,237366.29,196809.59,163032.04,227678.46,358950.42,378491.03,389836.96,441826.32,496690.61,520374.64,5596041.77,
Africa,Libya,,,,,,,1200.4,525.27,,,,,81300,12729.28,4991.08,,-77.65,16850,21000,28502.5,167020.88,
Africa,Guinea,461,,27163.67,4403.65,23959.59,10928.61,7278.6,3936.59,800,,,,,,,4140,1144.16,640,993.78,1457.78,87307.42,
Africa,Tunisia,2029.21,1484.08,287.74,587.82,488.26,539.73,208.25,,,5.49,,,,2500,613,6620.42,25632.66,16575.48,18229.86,62038.78,137840.78,
Africa,Zambia,213240.85,218037.8,187112.66,231969.95,252005.63,251800.6,315427.24,424762.16,436002.17,418151.44,393619.1,326715.96,443515.28,301926.59,290365.28,190316.93,179594.23,120468.47,100001.24,79712.69,5374746.29,
Africa,Djibouti,,2459.75,77.74,619.66,,179.91,700,3000,,,5000,2000,,,,3000,2050,,,,19087.06,
Africa,Mali,67516.94,57916.05,60518.48,56776.4,52980.66,53950.62,89020.34,108221.31,94204.49,85145.49,78903.23,96384.47,74559.95,94753.97,131585.68,125747,138955.09,145011.83,179366.79,244879.26,2036398.08,
Africa,Equatorial Guinea,254,306.34,360.4,,,,,,,,,,,,,,,,,,920.74,
Africa,Eritrea,58004.71,56391.5,40887.77,107450.72,152528.47,125529.88,121319.73,114801.79,59665.3,50777.47,60449.45,58199.43,45234.33,18619.84,1341.39,852.28,11046.43,16713.55,4317.63,4538.84,1108670.53,
Africa,Zimbabwe,103945.09,85950.73,91770.03,57398.63,48503.12,54599.29,87328.24,71882.17,73457.66,123028.96,180134.89,146419.64,124926.4,158556.22,200308.62,132192.3,132703.84,90391.17,88134.31,89606.07,2141237.38,
Africa,Madagascar,26565.09,39666.66,37975.27,45546.88,43585.38,57331.13,75577.52,103249.46,118500.13,128533.5,52400.73,78354.91,72298.75,81699.62,74217.3,71270.6,52789.28,62766.38,82196.98,79386.27,1383911.86,
Africa,Kenya,15457.34,25413.62,36319.03,23674.44,72685.12,53532.13,63440.88,79133.7,76415.16,121440.83,97465.72,80837.62,110640.81,84124.16,138257.48,106179.64,112658.67,86491.2,97832.87,118988.62,1600989.05,
Africa,Cote D'Ivoire,705.82,1342.52,2126.99,4044.49,6159.96,20489.25,24879.97,24068.58,27365.87,20523.81,9870.84,10409.58,41665.81,44269.06,5811.43,6881.06,8690.5,2920.46,2465.85,3066.98,267758.82,
Africa,Central African Rep.,96.62,2795.46,,,1544.15,3300.65,7752,36205.05,6726.54,7000,4000,,,,45287.07,116322.7,81469.07,58548.93,79000,69477.77,519526.02,
Africa,Congo, Dem. Rep.,17339.35,49808.05,34764.14,101571.15,121085.54,123282.35,128146.21,138081.89,136693.16,199049.72,176119.85,171060.95,178899.5,189364,264008.5,226484.91,196374.5,155096.69,238340.31,266416.37,3111987.14,
Africa,Morocco,335.04,1068.5,820.14,1342.18,2531.78,5597.65,696.55,903.36,28,,60,129.41,500,1171.32,2400,3128.88,3082.92,1634.58,200,1872,27502.3,
Africa,Cape Verde,156.34,495.85,1483.34,500.88,531.22,48.6,58.32,45,63,58.32,247.66,,99.66,500,101.18,365.75,,,,,4755.12,
Africa,North of Sahara Regional,,,25.07,,,1439.28,2061.36,4390.31,2997.26,1907.3,272.16,351.32,32928.4,1806.27,8161.55,1224.81,16310,15517.2,39280.69,39445,168117.99,
Africa,Benin,,0.36,915.9,1049.19,1506.05,1466.12,415.29,,,,,313.34,71.99,,,,153,153,,,6044.25,
Africa,Botswana,21244.68,23497.82,32613.82,25341.37,10457.75,11073.77,13955.66,12588.1,12915.33,17151.56,11467.37,3815.11,2795.44,2662.26,1074.95,889.48,575.63,1684.9,,,205805,
Africa,Congo, Rep.,11318.8,17454.76,3015.11,2880.09,4896,11652.89,16999.23,6409.76,4046.7,250,651.3,3418.47,514.4,366.12,2460.05,3061.19,1937.1,3025.86,2148.1,4042.3,100548.21,
Africa,Gambia,1146.19,1680.4,2148.68,5527.31,2088.96,1762.2,1652.15,1616.38,710.23,382.44,687.26,775.26,1621.07,312,758.48,1241.39,1140,1251.91,897.66,2380.49,29780.45,
Africa,Sierra Leone,48143.54,77136.96,83926.59,84376.74,36669.17,34827.6,26804.57,17275.97,14501.76,20647.87,19270.55,17982.96,19704.16,14927.16,14437.41,9342.68,56060.62,43497.48,18743.92,16822.3,675100.01,
Africa,Mauritius,156.65,8255.86,5623.34,2497.52,,105.6,164.71,,256.8,-12106.48,2500,2000,4000,783.49,785,715,,,-94.25,,15643.22,
Africa,Tanzania,387688.11,309419.36,314161.34,372709.98,476955.01,401636.56,388571.15,483481.68,666775.83,728521.08,730937.24,749199.88,640355.92,538554.66,583657.41,452563.15,384498.8,375174.78,373745.96,397314.24,9755922.16,
Africa,Lesotho,1685.02,1706.54,2353.64,2932.32,2051.85,8399.06,4680.59,7988.95,7943.56,6025.64,6544.44,6633.36,5777.12,4891.46,6354.48,7082.84,5856.51,4290.49,1916.49,3096.34,98210.73,
Africa,Comoros,,,,180.94,,,166.21,,,5357,,,,,,,,,,,5704.15,
Africa,Liberia,11805.76,2588.4,5813.99,15478.64,63587.38,78416.82,45985.37,57318.49,165022.42,193129.99,96496.2,138070.06,196754.4,202771.72,201542.28,242308.16,278904.4,173079.65,189475.2,87299.66,2445848.99,
Africa,Mauritania,2814.36,3316.5,3763.14,4242.8,5799.82,4989.17,5345.46,2865.26,3886.36,5217,4109,3564,3564,12718.34,6074.95,4800.94,6175.82,780,,,84026.93,
Africa,Senegal,9512.97,14571.72,10097.22,11103.38,8958.52,6896.34,4838.36,3798.35,3848.52,2917.09,3073.1,1785.12,1712.4,4029.06,6194.23,6238.24,2683.6,2673.75,2006.95,3660.37,110599.31,
Africa,Gabon,,,,,,495.14,1114.2,,,,120.5,,,,315.47,612.01,525.69,1279.05,649.74,1860.84,6972.64,
Africa,Sudan,110964.25,124727.63,118561,186293.67,235820.83,385392.39,635722.12,686008.29,700148.45,683965.61,578177.17,705370.74,251104.91,185261.87,199286.36,172971.92,96904.85,116192.48,107893.43,108076.9,6388844.86,
Africa,Uganda,198420.93,184716.12,177418.89,260482.93,271486.15,280841.62,293289.51,319200.38,402538.2,422404.52,422679.73,431869.8,453822.95,305758.97,412155.63,411060.33,361449.35,368139.02,247035.97,287524.83,6512295.81,
America,Dominican Republic,2698.24,1852.68,3750.73,3419.86,3283.92,4298.56,3118.31,5074,2344,1930.63,1798.2,1600.4,1613.68,1539.03,1676.91,1590.18,1391.11,370.97,525.95,,43877.35,
America,Belize,,1811.84,284.16,851.03,520.62,281.4,,,,,,,,,994.84,1019.03,,,,,5762.92,
America,Suriname,,,,,241.31,179.91,,,,,,,,,,,,,,,421.22,
America,Colombia,51046.37,51041.48,66348.86,61480.63,65953.46,57252.61,58298.42,63703.01,78366.12,62391.97,72813.96,85798.39,68487.12,86050,97275.46,115475.31,134117.53,327014.78,517029.17,408111.25,2528055.9,
America,Dominica,,,,,,,,,,,,,,,,,,,1000,,1000,
America,Venezuela,,2944.5,958.37,489.54,1115.77,1742.54,2638.39,1198.58,1848.25,349.86,240.87,367.61,845.13,799.85,-200,,,,1000,31288.13,47627.39,
America,Costa Rica,2006.88,5058.87,3675.45,4045.17,,,33421,573.58,1894.56,2629.09,4362.44,3114.31,13452.11,-761.88,38911.14,4514.48,1047.87,166.11,,,118111.18,
America,Haiti,9370.18,15295.13,18707.26,13322.45,14413.69,46883.15,32071.27,51339.98,45099.18,59081.73,26875.18,403626.6,135188.95,129337.77,83613.21,89284.23,66944.27,87282.44,90505.05,71593.91,1489835.63,
America,Ecuador,15518.93,18530.79,24517.81,17957.17,19030.73,16227.4,11244.21,12208.29,13085.38,17326.68,10288.77,18429.94,16271.35,13060.82,14119.48,14251.78,15097.88,35632.38,14529.98,80510.51,397840.29,
America,Mexico,4953.45,3898.15,3583.87,3089.67,623.72,2395.42,3418.65,,,682,107.2,301.44,45878.86,1943.25,9522.55,41213.03,23110.28,-33.08,,,144688.47,
America,Guatemala,102801.39,73386.54,93235.34,94108.49,89895.38,87426.28,134968.61,95831.78,87142.74,64723.26,48411.38,56683.19,61973.47,51077.76,72819.15,79868.28,76969.64,59471.26,47539.75,41578.81,1519912.51,
America,El Salvador,12949.84,10870.27,23119.78,13298.93,8035.81,7291.11,13598.35,3105.52,4013.5,3389.01,3233.11,6808.12,11774.31,3599.09,13281.32,14796.31,9556.03,7164.71,5941.1,4370.69,180196.93,
America,Argentina,64,63.6,374.33,709.97,2608.71,200,,160,226.5,625,300,620.43,300,300,4.31,712.43,,,,,7269.29,
America,Honduras,28863.66,17327.78,196299.27,7016.55,11527.2,12411.49,10895.29,10148.74,8741.16,9074.26,8856.08,8990.92,8560.97,25792.86,67208.61,11605.21,10411.58,10381.58,10868.55,2182.8,477164.55,
America,Chile,4652.37,5739.41,6838.11,3727,4512.37,1648.8,101641.08,91271.56,135079.48,199713.46,83397.66,79006.97,-66669.55,188161.78,56253.44,1225.14,,-21.69,,,896177.39,
America,Nicaragua,132174.53,116508,126167.38,71476.13,89672.09,84571.58,90145.02,161804.18,116039.1,114076.88,112119.03,115983.69,102068.34,89138.16,107649.19,72516.13,57284.9,38152.66,33269.64,31086.54,1861903.18,
America,Guyana,545.9,20230.5,,,,230.21,,,,,,176681,218981,2281.43,956.32,581762.43,45178.8,30871.45,35720.39,28123.19,1141562.63,
America,Paraguay,11110.83,25386.8,5783.02,4981.62,4774.34,3935.41,4343.98,5032.58,6522.51,6574.11,5748.44,6274.4,7112.2,6721.34,7102.35,6639.72,6715.1,5857,5854.93,3693.2,140163.9,
America,America Regional,45318.88,30663.48,35740.12,33767.21,32284.15,24698.87,22595.35,32155.69,53341.58,111485.19,158850.5,78224.24,70952.04,99855.38,66477.65,65810.22,43382.91,46046.76,28763.18,14201.06,1094614.48,
America,Brazil,15166.35,20315.53,21400.25,22748.54,27489.26,20638.3,18152.1,17975.92,55287.05,33878.3,185033.05,226181.58,406589.83,1248123.81,3988818.58,882604.72,1267711.59,936994.09,452500.73,685561.92,10533171.48,
America,St.Vincent & Grenadines,,,,,,,,,,,787.47,,700.88,,,,,,,,1488.34,
America,Bolivia,27012.02,24623.87,28943.86,26259.66,26823.51,22763.96,23811.19,23335.64,29691.38,36582.26,40192.07,35381.6,32608.73,31709.63,45510.83,31698.92,28991.52,25220.85,23463.53,26466.95,591091.97,
America,North & Central America Regional,53954.5,54083.86,79523.99,84440.41,59899.23,110898.15,71360.08,92775.38,93790.67,71639.11,114113.42,-50.51,186992.23,61756.47,6800.94,34881.68,31953.89,21613.89,14187.09,11850,1256464.49,
America,West Indies Regional,,,50,810,,,,,,,,,1110.69,1728.24,,,,150,5000,,8848.93,
America,South America Regional,1596.61,1588.74,5417.65,2200,3965.03,36742.34,13108.44,12090.4,33658.31,32369.12,42107.18,33321.47,39854.32,42135.12,40566.87,41298.53,35413.93,857.16,11545.39,33796.06,463632.68,
America,Uruguay,382.5,233.2,114.48,,,,,,10000,,1108.39,571.31,155,270,-215.07,88.39,,,,,12708.2,
America,Cuba,8936.9,7138.06,15473.8,9542.03,12191.38,30134.34,8942.08,6252.26,7049.27,14486.32,4981.47,6552.49,8495.22,27138.28,20964.44,20928.57,27848.99,20187.68,24671.23,11882.72,293797.52,
America,Peru,12940.37,12194.77,19336.97,11442.9,61803.29,8403.58,21485.55,9062.62,837951.95,1657.51,-45638.55,22863.9,19937.4,29974.47,32564.21,41065.89,39256.23,96867.16,88938.81,65872.25,1387981.29,
America,Jamaica,2832.36,3123.51,2804.76,4550.53,3535.8,2232.11,2511.25,2227.46,1360.8,777.6,736.67,695.83,,,,,,,50,,27438.69,
America,Barbados,577.54,540.5,-67.12,,,,,,,,,,,,,,,,,,1050.93,
America,Panama,,,,,,,132.96,,,,,14294.03,38814.23,9404.11,11678.01,848.5,,,,,75171.84,
Asia,Bangladesh,266476.55,161648.79,185066.71,132634.45,85992.49,161324.51,212004.61,137316,233360.14,132432.25,91861.48,102279.67,95146.34,96348.4,73702.01,58136.48,34287.33,22718.55,106090.26,118546.67,2507373.68,
Asia,Laos,51121.11,74760.22,43280.33,45437.82,28725.63,16823.19,16352.86,73203.26,17167.17,22033.9,19882.96,15833.03,52861.37,25559.98,33243.05,44922.2,39092.79,21909.68,27136.99,26114.54,695462.11,
Asia,Tajikistan,4855.04,9824.07,7502.74,10859.36,13092.85,9903.61,12707.55,11159.66,18670.61,15471.95,19728.67,19324.08,29481.65,28306.48,15551.23,13639.98,11000,5056.18,14562.22,9093.04,279790.96,
Asia,Asia Regional,109255.14,140194.06,111396.47,86088.06,122966.46,128156.13,486036.41,146566.84,197318.78,140620.8,140157.49,115800.04,120185.31,155159.17,182495.31,141703.56,164159.94,115745.64,126750.82,105279.56,3036035.98,
Asia,Mongolia,13183.82,11979.13,51000.48,21080.34,17465.43,8213.82,11159.97,6936.18,5709.18,6890.74,8009.4,10528.61,8942.23,4382.8,3860.91,3343.68,4219.06,3865.47,4131.67,3836.14,208739.07,
Asia,Timor-Leste,,30909.25,49684.95,62111.73,50233.98,58707.79,58470.46,93120.9,78777.73,43748.28,53412.42,47246.44,45807.24,44829.57,32677.05,28408.35,23516.51,12503.95,5354.92,2000,821521.51,
Asia,Myanmar,14925.03,25295.25,25519.24,30823.85,36124.04,47819.15,37700.4,51632.59,64320.4,169144.4,112221.05,123734.01,105231.67,132752.81,186584.11,228483.53,256444.33,252062.97,249075.76,253024.99,2402919.59,
Asia,Maldives,,90.17,166.53,11743.58,975.08,996.24,16555.73,6263.8,,,72.42,207.59,325.99,155.45,37.36,38.3,19.15,9.57,,,37656.96,
Asia,Georgia,17852.01,18068.64,27957.97,35450.19,35561.45,32607.46,53915.64,47594.43,38224.82,74871.82,69022.46,60484.13,56683.48,39124.27,38524.85,31443.9,45644.05,23467.33,35541.19,36235.36,818275.43,
Asia,Thailand,3848.78,3366.19,12907.42,12975.38,-9787.7,14495.39,74628.53,37850.06,11326.14,4684.87,4397.66,1867.55,9431.17,10073.65,11371.87,13389.55,7606.59,5019.81,7649.1,4808.09,241910.08,
Asia,Central Asia Regional,,,,,,,,,,32815.01,18804.49,22159.99,13712.86,20146.01,32747.05,15325.86,21402.54,6221.88,14913.22,12585.11,210834.03,
Asia,South & Central Asia Regional,,747.77,3522.93,1974.14,30961.22,2008.05,1298.64,1263.98,5918.8,5818.31,1667.22,12861.28,780.52,,,4000,6000,13751.21,7781,3790.89,104145.95,
Asia,Nepal,57670.13,78398.85,103319.82,104659.96,143134.67,155168.55,161804.73,262776.93,238773.57,239152.71,284467.45,285390.01,276878.47,236261.67,190841.16,264958.06,492162.84,258044.59,267100.56,267274.16,4368238.89,
Asia,Turkmenistan,,904.02,343.01,1589.6,983.59,899.55,142.65,190.18,28.38,3344,3923.62,3400,3270.78,-6.3,532.53,-531.15,,,-98.37,,18916.1,
Asia,Kyrgyz Rep.,9581.75,2539.05,4539.3,10476.66,21741.83,20675.99,19854.4,14483.19,17201.1,19772.98,21246.71,38227.23,18704.38,20187.66,16436.04,10275.66,10520.83,4007.46,6394.27,431.42,287297.93,
Asia,Uzbekistan,,1088.96,6941.84,20669.07,8012.42,6445.14,3423.61,2952.74,75.9,961.39,1783.83,1520,1649.67,2522.09,922.91,3187.37,1093.96,333.73,75,15,63674.63,
Asia,Philippines,19808.85,40203.39,15022.24,7840.35,13231.93,13011.41,15380.63,29981.08,246485.09,171133.94,11463.79,106357.8,62378.26,6571.75,124100.55,78114.47,14011.35,10373.8,24136.36,7653.3,1017260.32,
Asia,Cambodia,49452.79,54089.89,50556.4,24903.93,17678.56,22286.96,23503.24,20170.84,22348.68,60432.83,19890.91,28546.22,50603.86,17866.65,150861.91,49889.39,54682.45,55272.45,50206.35,48630.82,871875.14,
Asia,Sri Lanka,109301.11,128117.01,136702,171396.35,199195.49,204402.06,427718.46,239230.57,257979.96,174439.05,221381.11,175057.91,144528.57,115016.43,85845.03,65268.96,42613.94,67978.37,69763.73,55357.24,3091293.37,
Asia,Southeast Asia Regional,35.53,,,,,10397.51,13361,71030.19,43926.24,29775.03,40835.32,59171.53,32363.81,-17569.31,10045.4,9743.64,23469.83,20392.64,21586.4,11001.38,379566.15,
Asia,Azerbaijan,15573.47,19630.37,24343.86,28075.28,38220.68,38168.53,40994.79,36093.33,31128.47,22231.23,25048.81,20338.95,18888.19,17358.35,11586.34,3473.62,7571.68,6744.26,1201.78,257.61,406929.57,
Asia,Pakistan,36253.42,58658.38,49571.07,82112.4,70490.12,54604.18,532544.29,119747.18,180561.84,170284.13,292392.71,502448.32,183994.36,176663.5,155099.38,148080.85,106071.68,108421.02,87250.25,78416.12,3193665.23,
Asia,Armenia,18319.4,18551.27,21876.26,26228.34,23738.57,22502.85,33367.39,33477.73,27296.3,18912.05,19604.88,21567.52,17224.59,18874.79,17331.18,9835.8,4533,2246.86,1037.16,263.01,356788.97,
Asia,North Korea,30262.37,29275,31316,28553.64,31034,37882.78,33970.29,24663.64,27616.59,16619.79,29800,15000,20000,21000,6200,12000,15000,10000,10000,14500,444694.1,
Asia,Kazakhstan,8652.72,8400.66,8497.12,14091.36,10474.98,10190,15034.74,16879.4,14387.8,27838.44,19213.62,25714.67,16431.62,13791.69,10920.91,3927.15,741.26,,151.8,,225339.95,
Asia,Malaysia,1647.25,1701.94,4026.42,2420.41,9534.98,5820,2135.77,12798.78,631.8,2246.89,4316.28,4648.38,4714.46,5084.15,6646.55,3744.7,2706.88,3874.66,2784.68,2137.22,83622.2,
Asia,Bhutan,5201.68,12676.14,5970.58,8794.67,9129.64,5909.75,5205.96,8478.84,7190,5430.85,11420.17,11356.5,15357,5670.12,7813.91,33972.23,28798.95,2912.87,1514.83,731.79,193536.48,
Asia,China,109689.09,87086.87,86810.79,97699.72,84548.4,99423.51,88961.06,92208.56,98641.33,139957.04,136067.01,136322.6,131640.59,141420.5,124365,125553.98,92294.4,87146.66,83346.71,94236.18,2137420.01,
Asia,India,76780.28,70672.7,104306.1,67574.87,57439.71,88940.02,184433.17,84006.39,175742.1,199068.45,100944.64,144989.76,164472.34,215945.61,202041.31,149419.61,137709.98,148278.38,150390.15,83420.07,2606575.62,
Asia,Viet Nam,55599.98,54292.47,51167.69,63409.7,81654.27,81233.09,99538.75,97582.08,174670.44,176578.62,99829.89,121949.32,241646.48,270026.96,108070.78,124778.71,77484.03,85196.29,87718.59,36367.18,2188795.32,
Asia,Indonesia,66940.78,50986.16,41562.71,48286.66,46488.83,49667.93,290436.16,65845.16,96121.94,60831.07,80915.31,253493.44,66762.05,82560.08,164466.2,237942.2,258717.09,451364.21,279331.59,197521.36,2890240.95,
Asia,Afghanistan,55564.4,110546.88,357075.96,493516.92,486867.98,456434.39,386186.11,446971.19,553121.84,736543.21,727842.09,726172.51,775474.42,730363.89,745408.53,758744.28,691213.63,693947.84,621204.15,794866.67,11348066.88,
Europe,Slovenia,,575.07,77.74,386.88,,,,,,,,,,,,,,,,,1039.68,
Europe,Macedonia (Fyrom),54494.67,8468.34,56886.6,93098.82,81682.18,84905.48,80803.17,79697.54,55169.92,34784.73,43611.71,45467.54,39327.62,28322.54,24228.06,28696.37,19246.05,15813.31,15249.36,30968.54,920922.54,
Europe,Montenegro,,,,,,,,,24476.97,22746.1,24537.02,21200.26,15991.11,20431.61,13239.84,7983.61,1271.96,4995,4599.03,15193.43,176665.96,
Europe,Turkey,31570.07,15409.1,26350.98,33405.01,51974.37,10486.57,7431.26,11807.3,2625.95,696,1020,796.9,12154.83,12721.41,19207.2,20289.42,44389.37,76306.35,63713.78,59977.49,502333.37,
Europe,Europe Regional,862203.64,875035.87,481788.02,677903.38,562611.22,490164.1,454654.93,435704.14,111304.51,79050.43,113486.68,146349.9,149567.09,210050.83,211022.45,155207.32,72193.65,64156.09,103764.88,142197.6,6398416.73,
Europe,Kosovo,,,,,,,,,,67608.58,132916.82,146547.04,106865.9,85648.32,63955.27,57309.02,98566.47,19212.59,49335.95,47627.18,875593.15,
Europe,Belarus,,,,,,,,1190.43,14729.32,18972.91,16219.74,13380.56,20086.51,20170.01,18111.96,19152.08,12338.12,3667.85,568.97,707.13,159295.58,
Europe,Ukraine,,,,,,,1412.9,3452.86,25186.05,26718.15,19539.83,22773.99,46092.48,40943.63,34570.69,106493.12,322936.63,116572.5,204963.36,183447.59,1155103.81,
Europe,Bosnia-Herzegovina,246136.33,270729.46,151719.39,190312.51,153075.47,114624.88,113975.3,121961.37,101815.24,108514.7,99486.67,110440.87,83358.43,112449.51,84113.07,99646.41,65511.69,44448.71,36505.31,43354.39,2352179.7,
Europe,Serbia,,,,,,,,,239013.22,198015.3,124837.53,122347.53,111157.79,89077.53,63965.13,68172.74,60668.4,12259.86,29199.53,43755.1,1162469.65,
Europe,Albania,49443.82,31187.08,27033.35,46632.52,42436.88,53882.01,41932.29,36426.43,34510.07,23306.33,6523.16,15144.73,15451.83,9039.61,10104.39,8530.28,14555.59,4747.4,1924.3,6584.69,479396.75,
Europe,Croatia,29825.51,44140.22,162364.73,105336.01,100650.25,100270.57,99761.26,95853.79,40540.73,24117.28,22583.48,20938.01,,,,,,,,,846381.83,
Europe,Moldova,,5752.15,8779.79,8692.25,16096.08,8826.3,17789.59,17559.04,18660.76,28088.84,23175.86,18142.44,33767.08,29013.27,33300,55490.25,45451.36,44935.5,23474.19,21299.87,458294.63,
The Middle East,Middle East Regional,31635.24,15970.03,24584.47,2448.17,7902.62,11624.51,19749.34,16897.76,68107.96,57788.04,66966.64,71104.72,116037.08,198661.61,329556.87,156378.45,518891.29,394399.04,477763.14,272141.51,2858608.49,
The Middle East,Iran,13717.74,45702.89,33459.97,42644.21,68647.1,77432.62,27757.48,16909.3,510.77,7330.41,5021.6,44379.5,13147.03,16682.29,11923.03,20919.6,19858.67,16200,21000,14000,517244.21,
The Middle East,Oman,,,,,,,,105.05,,,,,,,,,,,,,105.05,
The Middle East,Lebanon,30642.55,32827.74,38489.54,42774.5,42811.08,43387.69,49664.93,178254.69,89517.09,61867.69,61777.55,55974.92,68396.51,88051.19,139002.43,145152.93,285821.69,546026.36,523411.21,524115.27,3047967.56,
The Middle East,Jordan,23279.15,29567.58,18332.24,17373.2,10223.2,8844.12,9976.59,24629.99,26825.29,13781.88,4981,2258,17802.4,17317.26,63514.09,70195.74,118808.54,252784.56,255862.47,264020.9,1250378.19,
The Middle East,Iraq,172989.24,123278.39,95873.46,142677.98,415416.6,124745.11,154749.03,145034.39,98915.74,99385.26,73056.62,46526.51,45540.78,46543.71,62002.5,227646.88,240645.66,402700.2,425969.42,238182.33,3381879.82,
The Middle East,Palestine,216832.95,245678.01,338735.74,406823.02,379167.32,362788.19,476674.92,562947.83,621916.01,660802.35,628748.79,661906.94,628408.63,623332.38,632851.43,740821.61,629672.52,572421.41,583799.42,636790.24,10611119.73,
The Middle East,Yemen,17541.88,1000,457.8,2815.66,2223.27,2912.74,2907.81,1643.04,486.29,741.81,4533.03,2255.04,8489.48,13427.65,35945.39,23641.14,53786.54,118111.61,274940.05,238668.96,806529.2,
The Middle East,Syria,9899.45,15289.87,8190.7,6166.42,13980.5,8545.26,9592.76,5733.96,6404.4,3796.92,146.41,7877.12,6586.48,77762.44,404617.82,310418.01,516451.82,1019202.68,1070455.4,1002559.38,4503677.81,
The Middle East,Saudi Arabia,,,12.54,156.53,373.24,,,105.05,,,,,,,,,,,,,647.36,
Oceania,Fiji,154.53,912,173.52,349.92,,179.91,,,,,,40,,,,1016.73,,369.07,,,3195.69,
Oceania,Oceania Regional,,,,,,,,,,,,,5000,,,,,,,5000,10000,
Oceania,Kiribati,,,155.48,165,,,,,,,,,,,,,,,,,320.48,
Oceania,Vanuatu,,,,,,,,75,,,59.12,,,,,,,,,,134.12,
Oceania,Papua New Guinea,1724.34,1633.25,1265.36,1244.16,1603.8,2454.39,3003.48,3810.55,3618,9190.05,10684.69,10778.22,9799.08,9094.94,9353.89,9012.26,19650.78,11318,9216.96,9138.73,137594.93,
Oceania,Marshall Islands,,,,,,,73.16,42.69,,298.64,290.11,,,,,169.34,,,,,873.94,
Oceania,Nauru,,,,,168.39,,,,,,,,,,,,,,,,168.39,
Oceania,Solomon Islands,,,,,73.81,,,,,,,40,35,,,,,,,,148.81,
Global unspecified,Global uspesifisert,923454.05,1105842.22,1193957.79,1251448.77,1502278.06,1667865.27,2298695.58,2972746.04,3687279.52,4405044.96,7204418.15,6589520.3,6529016.24,6846609.31,7624387.15,9629542.66,11506299.59,13688074.32,9590098.84,10118870.1,110335448.91,
Multilateral,Multilateral,2798090.39,2882672.62,3525542.71,3956754.55,3897266.31,4173378.75,4580911.08,5078764.13,5567811.46,6055613.09,6296367.26,6463820.78,6786877.19,7154169.36,7440235.73,7542926.26,7829425.46,7859050.49,8298003.66,8354095.47,116541776.74,
Administration,Administration,525727.19,562704,595177.41,651491.32,703942.43,792829.79,885265.67,1041434.65,1117803.93,1222298.87,1386964.22,1452090.79,1503048.95,1536912.89,1780013.19,1777884.17,1958192.25,1957761.5,2086886.61,2123844.12,25662273.96,

## gov.csv

          
            start
            end
            pm
            parties

            
              17.10.1997
              17.03.2000
              Bondevik
              KrF, Sp, V

            
              17.03.2000
              19.10.2001
              Stoltenberg
              Ap

            
              19.10.2001
              17.10.2005
              Bondevik
              KrF, H, V

            
              17.10.2005
              16.10.2013
              Stoltenberg
              Ap, SV, Sp

            
              16.10.2013
              31.12.2017
              Solberg
              H, FrP

## index.html
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    <meta property="og:description" content="Prioriteringer i bistanden på 2000-tallet">
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          <h1 class="title">Trender i norsk bistand på 2000-tallet</h1>
          <!-- <h2 class="subtitle">Prioriteringer i bistanden på 2000-tallet</h2> -->
          <ul class="buttons">
              <li class="button btn--geo"><button onclick="Chart.toggle(1)"><span>Fordelt </span>geografisk</button></li>
              <li class="button btn--sector"><button onclick="Chart.toggle(2)"><span>Fordelt på </span>sektor</button></li>
              <li class="button btn--partner"><button onclick="Chart.toggle(3)"><span>Fordelt på </span>partner</button></li>
              <li class="button btn--type"><button onclick="Chart.type()">%</button></li>
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          <span class="year"></span> -
          <span class="segment"></span><br>
          <span class="value"></span>
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      <div class="desc">
        <p>
        Et forsøk på å bruke et <i>stabla arealdiagram</i> for å vise komparative trender. Data er henta fra Norads statistikkportal (<a href="https://norad.no/om-bistand/norsk-bistand-i-tall?tab=geo" target="_blank">Bistand i tall</a>) hvor sammenligning mellom kategorier ikke kan ses i en historisk kontekst. Mens absolutte endringer i enkeltkategorier er vanskeligere å lese utfra en visualisering som dette, blir noen relative trender tydeligere.
        For politisk kontekstualisering er regjeringsskifter indikert på tidsaksen.
        </p>
        <p>
        En <a onclick="Chart.sortStack()">alternativ sortering</a> kan i teorien øke lesbarheten (ref <a href="http://leebyron.com/streamgraph/stackedgraphs_byron_wattenberg.pdf" target="_blank">Byron & Wattenberg</a>).
        </p>
        <span class="source">
            Datakilde: <a href="https://norad.no/om-bistand/norsk-bistand-i-tall?tab=geo" target="_blank">Norad</a> (Data extracted on 2020.01.01from Norwegian Aid Statistics)
        </span>
      </div>
    </div>
    <!-- Google Analytics -->
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      (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
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      ga('send', 'pageview');
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    <script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script>
    <script src="script.js"></script>
  </body>
</html>

## partner.csv

          
            Mygroup
            Partnergruppe
            Partner
            1999
            2000
            2001
            2002
            2003
            2004
            2005
            2006
            2007
            2008
            2009
            2010
            2011
            2012
            2013
            2014
            2015
            2016
            2017
            2018
            Total

            
              Int. & local NGOs
              Internasjonale og lokale ikke-statlige organisasjoner
              Andre
              469026.62
              544125.97
              629623.79
              579694.66
              658401.37
              646622.05
              777926.91
              872392.79
              1333421.81
              1460152.58
              1888116.46
              2000458.86
              2405795.31
              2228848.02
              2435352.08
              2544285.78
              2475947.27
              1971144.88
              2149596.51
              2352139.06
              30423072.8

            
              Multilateral (other)
              Multilaterale organisasjoner
              Andre
              431046.4
              492686.54
              327614.54
              409173.96
              475820.2
              465395.94
              756095.28
              741941.52
              720839.57
              849570.46
              1207698.75
              1041489.07
              1246470.4
              2283768.25
              1622411.24
              2003196.6
              2381035.21
              1799681.04
              2542015.17
              2573874.36
              24371824.5

            
              Other
              Privat sektor
              Andre
              230897.52
              231918.54
              273861.95
              315839.43
              310879.86
              462424.86
              556502.54
              475484.1
              447115.61
              555025.82
              843877.01
              718386.4
              1172439.73
              721351.02
              940839.45
              338297.01
              215934
              174917.49
              406128.19
              391533.32
              9783653.85

            
              Other
              Offentlig-privat samarbeid
              Andre
              23833.94
              19639.7
              38228.39
              40609.8
              43982.52
              48465.6
              50433.56
              89092.39
              113497
              135539.71
              105388.98
              131470.09
              106406.76
              118885.32
              193322.36
              90910.23
              110342.38
              74741.26
              82613.93
              122698.86
              1740102.79

            
              Other
              Uspesifisert
              Andre
              261827.51
              335883.14
              67035.72
              1043.76
              46205.25
              127306.01
              98564.19
              117501.48
              128011.05
              100648
              47252.13
              60274.07
              65237.11
              53333.44
              59074.83
              97015.54
              79793.57
              48965.12
              48925.73
              43277
              1887174.66

            
              Public sector (in Norway)
              Offentlig sektor i Norge/andre giverland
              Andre
              1379776.35
              1841130.48
              1731083.73
              2386683.05
              2721295.01
              2308991.04
              2380687.93
              2889040.03
              3824296.68
              3690336.51
              4982208.45
              5030631.14
              5105482.43
              5443645.12
              4998425.82
              6188572.14
              8542114.09
              11558149.77
              6487877.14
              5940900.2
              89431327.11

            
              Public sector (recipient)
              Offentlig sektor i mottakerland
              Andre
              1507808.65
              1549704.84
              1398902.95
              1398242.78
              1616682.2
              1548200.22
              1823611.85
              2000631.26
              2259216.63
              2144014.49
              2080053.32
              2227008.84
              1786434.98
              2066100.66
              5554149.2
              2421636.66
              2705102.34
              1989303.08
              1352163.28
              1401826.2
              40830794.4

            
              UN
              Multilaterale organisasjoner
              FN - andre
              1878097.07
              1763388.79
              1981712.29
              2178746.22
              2063974.47
              2136970.29
              2903897.99
              2849760.43
              3316750.43
              3315637.57
              3817514.14
              3894760.57
              3811411.61
              3978414.88
              4902946.16
              4519818.22
              4990294.78
              4761704.06
              5826307.53
              6547584.82
              71439692.35

            
              UNDP
              Multilaterale organisasjoner
              FN - UNDP
              764699.52
              774760.24
              906203.84
              1118552.41
              1129781.33
              1106290.05
              1350392.67
              1435922.42
              1716369.01
              1685526.7
              1731566.6
              1944290.83
              1887705.84
              1596581.23
              1686988.14
              1672584.88
              1741552.55
              1735220.92
              1888390.89
              1985735.28
              29859115.35

            
              UNICEF
              Multilaterale organisasjoner
              FN - UNICEF
              498479.23
              523977.74
              606000.87
              665643.41
              776705.83
              900102.06
              1338447.57
              1152461.1
              1135125.4
              1186608.04
              1297689.89
              1318524.41
              1310074.64
              1366473.68
              1403517.79
              1248488.44
              1365577.48
              1675944.27
              1677199.75
              1807994.3
              23255035.89

            
              Multilateral (other)
              Multilaterale organisasjoner
              GAVI
              
              10232.3
              198182.36
              199752.84
              155000
              290000
              290000
              415500
              470025.78
              472441.86
              462564.01
              490612.52
              428600
              606218
              749432.07
              1088532
              1190000
              1348474.47
              1507275
              1385692
              11758535.2

            
              Multilateral (other)
              Multilaterale organisasjoner
              GFATM
              
              
              130000
              138300
              125000
              151541
              271041
              301000
              375000
              375000
              375000
              450000
              450000
              450000
              500000
              600000
              600000
              600000
              700000
              6591882

            
              Norwegian NGOs
              Norske ikke-statlige organisasjoner
              Flyktninghjelpen
              238259.73
              226433.53
              252729.71
              259230.76
              295663.1
              299927.7
              344030.16
              434288.41
              487747.37
              475918.7
              451821.74
              552111.47
              524998.36
              500909.91
              714645.54
              726278.06
              749499.71
              873003.19
              1010596.74
              1008830.37
              10426924.26

            
              Norwegian NGOs
              Norske ikke-statlige organisasjoner
              Kirkens Nødhjelp
              301511.37
              259611.61
              322689.87
              345052.03
              363062.71
              346198.44
              396893.26
              482353.41
              436764.31
              488579.99
              452964.34
              469290.04
              408345.51
              407320.91
              440644.47
              605944.5
              524122.47
              585307.35
              587405.74
              545403.84
              8769466.16

            
              Norwegian NGOs
              Norske ikke-statlige organisasjoner
              Norges Røde Kors
              317360.75
              290389.53
              392262.01
              350089.01
              355874.01
              354177.41
              449005.62
              418899.65
              388993.2
              415361.53
              434725.06
              472712.04
              455823.06
              587475.87
              735558.97
              644644.69
              702657.7
              990319.48
              986019.46
              883586.45
              10625935.49

            
              Norwegian NGOs
              Norske ikke-statlige organisasjoner
              Norsk Folkehjelp
              325723.11
              316975.09
              266036.25
              306904.63
              267041.29
              312005.32
              358341.34
              421145.7
              403727.81
              381298.69
              385390.25
              344262.97
              365489.5
              353999.8
              347399.9
              361497.32
              359210.96
              448300.05
              460211.74
              434673.91
              7219635.65

            
              Norwegian NGOs
              Norske ikke-statlige organisasjoner
              Redd Barna Norge
              136985.1
              138928.47
              141569.56
              156291.3
              181663.51
              162974.09
              187456.4
              177806.25
              196708.15
              223033.15
              218200.81
              200463.1
              182701.53
              174874.16
              219589
              277606.23
              415152.14
              417076.44
              418719.2
              358522.87
              4586321.48

            
              Norwegian NGOs
              Norske ikke-statlige organisasjoner
              Andre
              860849.62
              794822.29
              874005.44
              939693.73
              1067117.46
              1115419.06
              1358612.89
              1311373.59
              1514162.55
              1546249.06
              1665104.98
              1621979.78
              1621383.38
              1736165.62
              1850013.23
              1894910.02
              1930752.16
              1711525.17
              1741517.13
              1878525.76
              29034182.92

            
              Multilateral (other)
              Multilaterale organisasjoner
              Regionale utviklingsbanker
              304624.09
              424238.24
              441781.95
              456499
              505462.8
              552054.83
              591457.74
              642488.18
              808626.69
              871166.05
              875299.1
              879151.39
              788780.81
              996445.02
              812922.54
              1427019.03
              935685.12
              1084052.86
              1201461.15
              1174117.13
              15773333.72

            
              World Bank
              Multilaterale organisasjoner
              Verdensbanken
              749283.9
              576298.59
              1254230.96
              1306572.71
              1295969.2
              1506412.67
              1831097.36
              1627790.49
              1806057.23
              2489956.91
              2301158.63
              2651053.96
              2529585.08
              1967364.31
              2682360.47
              3394473.22
              2470812.62
              2943123.12
              3143509.41
              3094724.92
              41621835.77

## preview.png

      
    Raw
  

              preview.png
            
          
## script.js
/* jshint laxbreak: true */
/* jshint expr: true */
/* global d3 */
/* context dependent style sheet loading */
function inIframe () {
 'use strict';
  try {
    return window.self !== window.top;
  } catch (e) {
    return true;
  }
}
if(inIframe()){
  document.getElementById('pageStyle').setAttribute('href', 'style-simple.css');
}

var Chart = (function(window,d3) {
  /* jshint validthis: true */
  /*jshint latedef:false*/
 'use strict';

  var width,
      height,
      margin,
      isMobileIsh,
      token = 0, // which dataset to use on load
      locale = 'no',
      showPercentage = false,
      sortOrder = showPercentage ? d3.stackOrderDescending : d3.stackOrderReverse,
      duration = 1500,
      delay = 2000,

      svg = d3.select('svg'),
      g = svg.append('g'),
      segments = g.append('g').attr('class', 'segments'),
      xAxis = g.append('g').attr('class', 'axis axis--x'),
      govGroup = g.append('g').attr('class', 'gov'),
      curtain = g.append('rect').attr('class', 'curtain'), // removed after initial render
      tooltip = d3.select('.tooltip'),
      segment,
      labels,
      govLines,
      govLabels,

      x,
      y,
      color,

      // t = d3.transition().duration(850).ease(d3.easeCubicInOut),
      goverments,
      schemes = ['Greens','YlOrRd','PuBu'],
      timeRange = d3.range(1999, 2019),
      formatYear = d3.timeFormat('%Y'),
      parseYear = d3.timeParse('%Y'),

      area,
      stack,
      aggregatedData = [],
      layers = [],
      series = [],

      no = d3.map()
      .set('Africa', 'Afrika')
      .set('America', 'Amerika')
      .set('Asia', 'Asia')
      .set('Europe', 'Europa')
      .set('The Middle East', 'Midtøsten')
      .set('Oceania', 'Oseania')
      .set('Global unspecified', 'Globalt')
      .set('Multilateral', 'Multilateralt')
      .set('Administration', 'Aministrasjon')
      .set('Good governance', 'Godt styresett')
      .set('Conflict Resolution', 'Konflikt')
      .set('Economic development and trade', 'Finans og handel')
      .set('Education', 'Utdanning')
      .set('Health and social services', 'Helse og sosial sektor')
      .set('Environment and energy', 'Miljø og energi')
      .set('Emergency assistance', 'Nødhjelp')
      .set('Multilateral', 'Multilateral')
      .set('Admin & Multilateral', 'Administrasjon og multilateralt')
      .set('Migrants in Norway', 'Flyktninger i Norge')
      .set('Unspecified', 'Uspesifisert')
      .set('Multilateral (other)','Multilateralt')
      .set('UN','FN')
      .set('World Bank','Verdensbanken')
      .set('Norwegian NGOs','Norske NGOer')
      .set('Int. & local NGOs','Internasjonale NGOer')
      .set('Public sector (in Norway)','Offentlig sektor i Norge')
      .set('Public sector (recipient)','Offentlig sektor ute')
      .set('Other','Andre');

  // d3.csv('geo.csv', parse, init);
  d3.queue()
    .defer(d3.csv, 'geo.csv', parseRow)
    .defer(d3.csv, 'sector.csv', parseRow)
    .defer(d3.csv, 'partner.csv', parseRow)
    .defer(d3.csv, 'gov.csv', parseGov)
    .await(init);

  /**
   * init chart
   */
  function init(error, geo, sector, partner, gov) {

    if (error) { throw error; }

    aggregatedData.push(aggregateByDimension('Verdensdel', geo));
    aggregatedData.push(aggregateByDimension('Sektorgruppe', sector));
    aggregatedData.push(aggregateByDimension('Mygroup', partner));

    // re-stack data as functional series. NB: SE OGSÅ http://learnjsdata.com/group_data.html
    timeRange.forEach( function(y) {
      var row = { year: parseYear(y) };
      aggregatedData.forEach( function(data) {
        for (var d in data[0]) {
          if(showPercentage) {
            row[d] = Math.round(data[0][d][y] / data[1][y] * 100);
          } else {
            row[d] = data[0][d][y];
          }
        }
      });
      series.push(row);
    });

    // gov
    goverments = gov;

    update();
    // setTimeout(step, delay, 2);

  }

  /**
   * Updates stack, layers, segments and layers on datachange
   */
  function update() {

    // ref:https://github.com/d3/d3-shape/blob/master/README.md#stack
    stack = d3.stack()
      .keys(Object.keys(aggregatedData[token][0]))
      .order(sortOrder)
      .offset(d3.stackOffsetWiggle);

    if(showPercentage) {
      stack.offset(d3.stackOffsetExpand);
    }

    layers = stack(series);
    // console.log(series)
    // Ref: https://github.com/d3/d3-selection#joining-data
    segment = segments.selectAll('path').data(layers);
    segment.enter()
           .append('path')
           .attr('class', 'segment')
           .on('mouseover', mouseOver)
           .on('mouseout', mouseOut)
           .on('mousemove', mouseMove)
           .merge(segment);
    segment.exit().remove();

    labels = segments.selectAll('text').data(layers);
    labels.enter()
          .append('text')
          .attr('class', 'label')
          .merge(labels);
    labels.exit().remove();

    govLines = govGroup.selectAll('line').data(goverments);
    govLines.enter()
            .append('line')
            .merge(govLines);
    govLines.exit().remove();

    govLabels = govGroup.selectAll('text').data(goverments);
    govLabels.enter()
            .append('text')
            .attr('class', 'label')
            .merge(govLabels);
    govLabels.exit().remove();

    color = d3.scaleSequential(d3['interpolate' + schemes[token]]).domain([-4, 9]); // -4 to skip the lighter end of the scale

    render();

  }


  /**
   * render
   */
  function render() {

    setDimensions(window.innerWidth);

    // scales
    x = d3.scaleTime()
          .domain([parseYear(1999), parseYear(2018)])
          .range([0, width]);

    y = d3.scaleLinear()
          .domain([d3.min(layers, stackMin), d3.max(layers, stackMax)])
          .range([height, 0]);

    area = d3.area()
          .x(function(d) {return x(d.data.year); })
          .y0(function(d) {return y(d[0]) - 0.2; }) // .2 spacing, ref: https://bl.ocks.org/HarryStevens/c893c7b441298b36f4568bc09df71a1e
          .y1(function(d) {return y(d[1]) + 0.2; })
          // .curve(d3.curveBasis);
          .curve(d3.curveCardinal);

    // draw
    svg.attr('width', (width + margin.left + margin.right ))
       .attr('height', (height + margin.top + margin.bottom));

    g.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')');

    // layers
    segments.selectAll('.segment')
      .transition().duration(850).ease(d3.easeCubicInOut)
        .attr('d', function(d) { return area(d); })
        .attr('fill', function(d) { return color(d.index); });

    // labels
    segments.selectAll('.label')
      .attr('x', 13)
      .attr('dy', '0.35em')
      .attr('transform', 'translate(' + width + ')')
      .style('fill', function(d) { return color(d.index); })
      .style('opacity', 0 )
      .text(function(d) { return lang(d.key); })
      .transition().duration(850).ease(d3.easeCubicInOut)
        .style('opacity', 1 )
        .attr('transform', function(d) {
          var last_element = d[d.length - 1];
          return 'translate(' + width + ',' + y(last_element[1] - (last_element[1] - last_element[0])/2) + ')';
        });

    xAxis.attr('transform', 'translate(0,' + 0 + ')')
        .call(
          d3.axisBottom(x)
          .ticks(d3.timeYear.every(2))
          .tickSizeInner(height)
          .tickSizeOuter(0)
          .tickPadding(- (height / 2) - 10)
        )
        .select('.tick:last-of-type text')
          .attr('dx', -5)
          .style('text-anchor', 'end');


    govGroup.selectAll('line')
            .attr('x1', function (d) { return x(d.start); })
            .attr('y1', 28)
            .attr('x2', function (d) { return x(d.start)+3; })
            .transition().duration(350).ease(d3.easeCubicInOut)
            .attr('y2', function (d, i) {
              var modifier = showPercentage ? 0.25 : -1;
              return height + (( i%2 ? 50 : 25 ) * modifier) ;
            })
            .attr('stroke-width', function (d, i) { return i ? 1 : 0; });

    govGroup.selectAll('.label')
            .attr('text-anchor', function (d, i) { return i === 0 ? 'end' : 'start'; })
            .transition().duration(350).ease(d3.easeCubicInOut)
            .attr('transform', function(d, i) {
              var modifier = showPercentage ? 0.75 : -1;
              var xPos = i === 0 ? x(d.end) : x(d.start);
              var yPos = height + (( i%2 ? 40 : 15 ) * modifier);

              return 'translate(' + xPos + ',' + yPos + ')';
            });

    govGroup.selectAll('tspan').remove();
    govGroup.selectAll('.label').append('tspan')
             .text(function(d) { return d.pm; })
             .attr('x', function (d, i) { return i === 0 ? -10 : -1; })
             .attr('dy', '0.35em');

    govGroup.selectAll('.label').append('tspan')
             .text(function(d) { return '(' + d.parties + ')'; })
             .attr('x', function (d, i) { return i === 0 ? -10 : -1; })
             .attr('dy', '1.35em')
             .style('font-size', '10px');


    // position caption and credits
    // var caption = d3.select('.caption');
    // var captionOffset = Math.max(0, width - caption.node().getBoundingClientRect().width)/2;
    // caption.style('left',  captionOffset + 'px');

    // Animate curtain on first render only
    g.select('.curtain')
     .attr('x', -1 * width)
     .attr('y', -1 * height)
     .attr('height', height)
     .attr('width', width)
     .attr('transform', 'rotate(180)')
     .style('fill', '#fcfcfc')
     .transition().duration(850).ease(d3.easeCubicInOut)
      .attr('width', 0)
      .remove();

  }

  // auxiliary functions
  function lang(s) {

      if(locale === 'no' && no.has(s)) {
        return no.get(s);
      }
      return s;
  }


  function mouseOver () {
    d3.select(this).classed('hover', true);
  }

  function mouseOut () {
    d3.select(this).classed('hover', false);
    tooltip.classed('hidden', true);
  }

  function mouseMove (d) {
    var mouse = d3.mouse(this),
        mouseX = mouse[0],
        aligner = -2 + (width - mouseX) / (width / 2),
        year = formatYear(d3.timeYear.round(x.invert(mouseX))),
        // year = formatYear(x.invert(mouseX)),
        data = d.filter(function(a) { return formatYear(a.data.year) === year; })[0].data,
        segment = d.key;

    if(data.hasOwnProperty(segment)) {

      var value = d3.format('s')(data[segment]);
      var percent = d3.format('.0%')(data[segment] / aggregatedData[0][1][year]);

      tooltip.select('.segment').text(lang(segment));
      tooltip.select('.year').text(year);
      tooltip.select('.value').text(showPercentage ? percent : value);

      tooltip.style('left', ( mouseX + (90 * aligner) ) +'px')
             // .style('color', color(d.index))
             // .style('top', '100px')
             .classed('hidden', false);
    }
  }

  function toggle(index) {
    token = index ? index-1 : token++;
    if (token === series.length) {
      token = 0;
    }
    update();
  }

  function sortStack() {
    sortOrder = sortOrder ===  d3.stackOrderInsideOut ? ( showPercentage ? d3.stackOrderDescending : d3.stackOrderReverse ) : d3.stackOrderInsideOut;
    update();
  }

  function type() {
    showPercentage = !showPercentage;
    sortOrder = showPercentage ? d3.stackOrderDescending : d3.stackOrderReverse;
    if (event) {
      event.target.textContent = showPercentage ? 'NOK' : '%';
    }
    update();
  }


  function aggregateByDimension(dimension, data) {
    var totals;
    var sumTotals = {};

    totals = d3.nest()
      .key(function(d) { return d[dimension]; })
      .rollup(function(v) {
            var row = {};
            timeRange.forEach( function(y) {
              row[y] = Math.round(d3.sum(v, function(d) {
                // if(dimension === 'Verdensdel' && d.Verdensdel === 'Multilateral'){
                //   console.log(d)
                // }
                 return d[y];
              }));
            });
          return row;
      })
      .object(data);

      timeRange.forEach( function(y) {
        sumTotals[y] = d3.nest()
        .rollup(function(values) { return d3.sum(values, function(d) { return d[y]; }); })
        .object(data);
      });
    // console.log(totals)
    return [totals, sumTotals];
  }

  function parseRow(input) {
    var output = {};
    for (var k in input) {
      if(isNaN(k)) {
        output[k] = input[k];
      } else {
        output[k] = +input[k];
      }
    }
   return output;
  }

  function parseGov(d) {
    var parser = d3.timeParse('%d.%m.%Y');
    return {
      start: parser(d.start),
      end: parser(d.end),
      pm: d.pm,
      parties: d.parties
    };
  }

  function stackMax(layer) {
    return d3.max(layer, function(d) { return d[1]; });
  }

  function stackMin(layer) {
    return d3.min(layer, function(d) { return d[0]; });
  }

  function setDimensions(window) {
      isMobileIsh = window <= 470;
      if (isMobileIsh) {
        margin = {top: 20, right: 20, bottom: 10, left: 10 };
      } else {
        margin = {top: 30, right: 200, bottom: 50, left: 20 };
      }

      width = Math.min(window, 970) - margin.left - margin.right;
      height = width/1  - margin.top - margin.bottom;

  }

  function step (i) {
    if ( i >= 75) {
      sortStack();
    } else if (i > 50) {
      type();
    } else {
      toggle(Math.min(Math.round(i/10),3));
    }
    i = Math.random() * 100 | 4;
    setTimeout(step, delay, i);
  }

  return {
    render : render,
    toggle : toggle,
    sortStack : sortStack,
    type: type,
  };

})(window,d3);

window.addEventListener('resize', Chart.render);  // should debounce...

## sector.csv
Sektorgruppe,Sektor,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,Total,
Good governance,Conflict prevention and resolution, peace and security,255975.66,216824.56,294270.79,329156.34,391208.64,395886.23,516240.08,1026265.24,1174813.02,1175604.74,1255187.94,1292002.93,1285982.5,1293312.33,1300422.56,1299929.93,1249411.92,1106478.53,1272204.75,1551285.02,18682463.69,
Good governance,Government and civil society, general,853836.74,1106901.91,1220029.38,1501574.26,1321593.13,1635980.93,1814286.72,1859283.82,2221386.54,2289280.09,2640717.8,2581538.55,2672232.2,2597083.57,3136232.17,2917551.81,2848869.33,2464344.58,2519562.86,3038558.61,43240845,
Economic development and trade,Action relating to debt,182650,81920.19,187513.47,106871.06,157452.5,82742.3,15303.66,144685.49,231680.67,181090.77,76851.11,99687.53,122000.06,123073.92,139323.31,115035.01,140342.88,150190.23,202043.39,210290.6,2750748.15,
Economic development and trade,Industry,123068.2,53819.51,61480.06,48877.67,1471.34,70293.13,77153.72,80394.17,68991.79,46835.47,60609.95,121444.12,95209.13,154081.05,142034.59,148167.63,152017.95,78844.42,92497.33,119130.21,1796421.44,
Economic development and trade,Other multisector,233090.92,203248.55,401545.88,400416.93,597359.68,564803.49,1000160.39,877225.68,925795.84,931365.42,660605.6,950311.91,819786.97,1035599.76,865220.17,884838.97,714908.15,675269.64,975028.19,1317729.49,15034311.62,
Economic development and trade,Construction,,,1500,56.4,1574.59,1358.2,113.11,34.81,955,948,-14.59,98.4,420.6,73.6,3800,1000,1323.91,1718.99,,,14961.02,
Economic development and trade,Business and other services,96081.58,116787.71,91051.73,125115.17,150114.84,216941.99,228630.42,244227.16,264339.81,204313.38,224993.02,183364.51,187667.68,103499.96,43813.41,1334136.11,1554005.19,1497189.88,1598332.26,1792563.66,10257169.47,
Economic development and trade,Tourism,272.81,686.76,923.2,975.4,5645.86,3993.08,36397.03,6015.35,3167.93,28016.37,420.93,18706.98,71549.46,6455.75,15607.73,2751.06,1957.3,2518.76,2220.58,2386.75,210669.08,
Economic development and trade,Other commodity assistance,,,,,,,268.91,426.44,367.59,14879.33,2511,2760.28,,,,,,,,,21213.55,
Economic development and trade,General budget support,85000,130000,164000,236262,372464,408961.72,390492.28,576782,824400,1161735,1100082,1079315,872390,652550,490000,419000,415349,235000,235000,150000,9998783,
Economic development and trade,Developmental food aid / Food security assistance,,,3517,19532.95,28661.88,552.22,132.99,41849.08,5076.39,7844.98,5267.4,4223.74,3000,27000,25000,344.74,2391.91,50,,100,174545.28,
Economic development and trade,Banking and financial services,106274.51,78417.71,57000.4,87285.45,76733.93,160119.36,109272.94,83501.7,250062.96,220713.34,291841.58,252701.75,764055.54,142346.35,442184.67,48715.35,39832.03,69470.72,129605.41,89792.28,3499927.99,
Economic development and trade,Communications,58602.75,51958.47,46264.76,54179.44,27373.44,16980.83,19383,66429.45,25580.17,62501.25,-25512.97,-29835.6,12408.15,12869.79,7293.94,14924.9,16341.11,12412.88,17910.31,13001.89,481067.96,
Economic development and trade,Fishing,78320.17,155023.69,130795.65,100567.81,116696.7,110070.55,208051.2,127839.26,116669.42,122651.5,139454.51,138059.29,152150.08,170248.04,190390.35,172717.19,204895.61,167864.92,253418.62,280524.57,3136409.1,
Economic development and trade,Transport and storage,66339.42,50785.41,65441.5,66761.29,145322.4,50680.23,63892.06,95515.73,115016,8743.05,59028.79,31199.21,23218.04,6773.06,947.5,2751.91,5096.26,3644.73,7268.96,-315.61,868109.93,
Economic development and trade,Trade policy and regulations and trade-related adjustments,17250,22797.38,26594.35,38719.82,52786.98,55156.06,66406.44,72207.95,120845.9,108516.13,115688.17,112687.08,101973.2,103887.81,77003.1,92558.21,92654.59,72988.69,78829.6,100401.39,1529952.86,
Economic development and trade,Agriculture,194830.79,243219.3,294725.64,336194.58,297871.68,354611.92,320452.47,369732.8,446322.34,418424.15,500087.93,462154.67,476223.85,557160.85,911779.5,711254.44,663819,447486.66,531868.02,487521.77,9025742.35,
Economic development and trade,Forestry,59403.21,69550.96,41973.49,44486.53,29870.84,46484.55,25046.97,19873.26,29752.32,110475.42,67952.5,82257.91,76904.62,62282.58,38709.12,40048.23,33823.99,31860.05,14076.21,15632.56,940465.35,
Economic development and trade,Mineral resources/ mining,5902.95,11014.78,20065.61,15885.46,20912,16765.36,42675.86,56893.08,90256.91,148217.69,162269.6,181875.86,235936.51,187646.41,165244.03,164793.96,139271.98,117675.65,110026.65,89402.45,1982732.8,
Education,Secondary education,71367.48,37337.03,62955.99,58307.8,25394.6,32084.55,51314.17,63682.64,42114.99,52071.99,69711.28,56929.05,49088.8,44770.05,30289.53,47111.5,53347.93,87589.05,148042.05,180893.13,1264403.61,
Education,Post-secondary education,152818.06,185705.18,183107.72,190231.44,193768.86,185299.78,180961.06,146414.17,207915.19,297040.51,323497.1,299895.99,224726.07,231155.75,222598.58,276754.18,248690.43,321342.81,291173.8,253581.65,4616678.33,
Education,Basic education,300255.75,290489.97,310723.8,442982.75,651097.19,781130.16,1072292.73,1065261.39,872036.77,923188.03,1030290.43,924050.5,1004658.86,1047931.02,1111222.47,1143618.82,1702462.21,2180227.16,1973954.77,2050394.67,20878269.43,
Education,Education, level unspecified,189244.4,154055.45,162407.56,164185.63,215281.29,294653.54,357189.3,444555,453633.46,269007.75,335664.05,321959.56,238079.43,283753.72,341895.92,342645.81,469066.82,503009.1,653818.82,531926.02,6726032.62,
Health and social services,Non-communicable diseases (NCDs),,,,,,,,,,,,,,,765.12,5955.63,14080.43,17373.4,26877.86,30621.25,95673.69,
Health and social services,Health, general,188148.86,180416.53,293260.54,257404.69,327635.61,262871.01,369903.65,376652.57,403845.16,368252.77,347774.55,346887.13,403697.43,454833.07,622952.19,542914.24,537074.45,615029.77,551030.38,467590.44,7918175.04,
Health and social services,Other social infrastructure and services,407737.3,616834.76,460988.03,590826.6,514008.04,565106.2,736848.13,570929.76,519245.26,578582.93,554553.44,480983.72,461578.66,411147.92,536999.69,460142.28,410196.69,416943.16,538274.14,364420.91,10196347.63,
Health and social services,Water supply and sanitation,227267.24,214177.75,173938.86,216564.05,152020.2,212650.71,281804.52,230533,272989.63,254828.42,261304.68,234407.47,126815.65,164761.88,186364.08,236157.6,206834.38,157559.45,134907.75,146050.49,4091937.81,
Health and social services,Population policies/programmes and reproductive health,131960.91,181707.85,246918.8,252156.22,277388.63,269475.73,287410.89,386392.64,398820.39,449202.1,735745.82,455836.35,438333.4,443039.88,921201.91,858729.5,728373.89,177440.72,312454.61,432243.92,8384834.16,
Health and social services,Basic health,135837.57,191854.03,194407.65,206913.74,190396.53,253132.87,332847.83,355539.68,274009.13,456001.59,377180.89,206201.12,370409.78,342007.51,279861.18,505990.99,552929.62,1034727.35,1216601.38,1244309.01,8721159.45,
Environment and energy,Energy generation, renewable sources,131617.13,91161.34,39850.2,61734.83,114638.54,123137.64,307042.7,272123.71,1319032.15,576038.28,71428.6,465189.65,865841.03,1430283.66,789543.65,816897.73,468510.74,126171.75,153540.53,180219.42,8404003.27,
Environment and energy,Energy generation, non-renewable sources,656.93,634.74,,,1500,180,,622.87,40980.85,31669.15,1673.16,25454.73,1271.53,500,3453,3713.24,3889.19,,,,116199.38,
Environment and energy,Nuclear energy electric power plants,,,,823.39,1784.09,1550.67,7208.3,9755.95,9313.51,,19400,14499.08,22279.38,19441.32,8891.46,14081.46,19796.62,3070,,-129.23,151766,
Environment and energy,Energy Policy,78071.52,52324.39,131947.72,86738.67,84506.37,124663.19,135935.15,134648.79,206820.33,246842.64,161448.61,187468.34,258721.03,329345.95,278917.73,203481.86,287893.52,230424.62,251276.55,268517.63,3739994.59,
Environment and energy,General environmental protection,352972.41,331465.87,418034.81,357223.93,373804.96,372539.93,374271.14,470700.57,566460.78,747720.29,1730297.78,2123455.68,1681799.23,2626655.46,5624624.88,3806139.64,3279340.76,2943060.84,3187991.04,3348635.45,34717195.46,
Environment and energy,Heating, cooling and energy distribution,285645.51,247729.58,248202.86,227668.32,236939.35,179051.32,190445.88,198878.74,96358.38,253662.04,313732.83,270419.46,293852.73,289382.1,281978.32,198352.68,147861.84,301779.11,148343.06,214163.45,4624447.57,
Emergency assistance,Reconstruction relief and rehabilitation,54518.04,70806.22,123256.03,149484.84,119138.45,83752.8,93937.09,90883.66,154318.03,112092.65,88614.08,290610.68,150155.99,118574.83,78354.84,313074.56,113979.41,108192.9,218218.34,125407.77,2657371.22,
Emergency assistance,Disaster prevention and preparedness,,,,,,,,,,50634.91,130267.43,118723.91,190146.9,211710.15,293421.94,331296.73,274857.58,157861.81,149138.25,48800.64,1956860.25,
Emergency assistance,Emergency Response,1469690.41,924550.07,1011256.24,1033205.52,1227915.73,1007646.66,2139868.5,1379910.72,1578495.88,1596796.32,1178842.1,1752153.48,1774391.15,1621495.79,2149754.32,2185337.3,2827936.68,3579003.21,4132243.37,3973633.88,38544127.33,
Adm. og multilateral,Administrative costs/multilateral,2798090.39,2882672.62,3525542.71,3956754.55,3897266.31,4173378.75,4580911.08,5078764.13,5567811.46,6055613.09,6296367.26,6463820.78,6786877.19,7154169.36,7440235.73,7542926.26,7829425.46,7859050.49,8298003.66,8354095.47,116541776.74,
Adm. og multilateral (Norge),Administrative costs/multilateral,525727.19,562704,595177.41,651491.32,703942.43,792829.79,885265.67,1041434.65,1117803.93,1222298.87,1386964.22,1452090.79,1503048.95,1536912.89,1780013.19,1777884.17,1958192.25,1957761.5,2086886.61,2123844.12,25662273.96,
Uspesifisert,Unallocated/unspecified,328363.7,441161.35,205392.33,132546.51,116466.53,157309.26,244157.94,361265.08,334736.75,272372.41,337955.07,341271.95,359181.27,321475.04,234564.38,305470.96,341640.57,158764.51,365620.58,206983.91,5566700.11,
Flyktninger i Norge,Refugees in donor countries,433200,864400,607694,994152.15,1248874.02,750110.92,431020.31,398782,456233.66,805993,2532839,2027068,1475103,1318883,1586683,1756514,3732893,6719562,1239643,827431,30207079.08,

## style-extended.css

body {
  font-family: 'Vollkorn SC', serif;
  background-color: #F6F1EB /*#F7EEDF*/;
  color: #332E2C;
}
.wrapper {
  position: relative;
  max-width: 970px;
  margin: 30px auto;
}


/* segments */
.segment {
  fill-opacity: .8;
  transition: fill-opacity 400ms ease;
}

  .segment.hover,
  .segment:hover {
    fill-opacity: 1;
  }

/* labels */
.label {
  font-size: 13px;
}

.gov line {
  opacity: .5;
  stroke: #F0882A;
}

.gov .label {
  opacity: .75;
  fill: #F0882A;
  stroke: none;
}


/* axis */
.domain {
  display: none;
}

/* ticks */
.axis--x .tick {
  opacity: .5;
  font-size: 12px;
}

  .axis--x .tick line {
    opacity: 1;
    stroke: #F6F1EB;
  }

  .axis--x .tick text {
    fill: #fff;
    stroke: none;
    font-size: 1rem;
  }

  .axis--x .tick:hover {
    opacity: 1 ;
  }

/* tooltip */
.tooltip {
  position: absolute;
  top: 100px;
  width: 200px;
  padding: 10px 0;
  border-bottom: 1px solid #F0882A;
  opacity: .75;
  color: #F0882A;
  background-color: #F6F1EB;
  text-align: center;
  font-size: .75rem;
  line-height: 1.7
  pointer-events: none;
  z-index: 20;
}
  .tooltip .segment {}
  .tooltip .year {  }
  .tooltip .value {
    line-height: 1.5;
    opacity: 1;
    font-size: 1rem;
  }

/* caption */
.caption {
  position: relative;
  border-top: 1px solid #706561;
  font-size: .8rem;
  text-align: center;
}
@media (min-width: 720px) {
  .caption {
    width: 540px;
    margin: 0 auto;
  }
}
/*
@media (min-width: 1440px) {
  .caption {
    position: absolute;
    top: 30px;
    background-color: #F6F1EB;
    margin-left: 12px;
  }
}
*/
.title {
  font-weight: 400;
  font-size: 1.1rem;
  margin-bottom: 1px;

}
.subtitle {
  font-weight: 400;
  font-size: .8rem;
  margin-top: 0px;
  margin-bottom: 6px;
}


/* buttons */
.buttons {
  display: flex;
  justify-content: space-between;
  width: 100%;
  margin: 0;
  padding: 0;
  border-top: 1px solid #706561;
  list-style-type: none;
/*  z-index: 1000;*/
}
  .button {
    flex: 1;
  }

  .button + .button  {
    border-left: 1px solid #706561;
  }

  button:hover,
  .button:hover  {
    background-color: rgba(51,46,44,0.1);
    cursor: pointer;
  }

  .button button {
    border: 0;
    border-radius: 0;
    padding: 12px 16px;
    background-color: transparent;
    font-family : inherit;
    font-size: 12px;
  }

    button:focus {
      outline: none;
    }

  @media (max-width: 720px) {
  .button button span {
      display: none;
    }
  }

  .btn--geo button {
    color: #155C2B;
  }
  .btn--sector button {
    color: #B13451;
  }
  .btn--partner button {
    color: #3D6E8D;
  }
  .btn--type {
    flex: 0 1 59px;
  }


.desc {
  font-family: Vollkorn, serif;
  font-size: 14px;
  line-height: 1.33;
  text-align: justify;
}

  @media (min-width: 720px) {
    .desc {
      margin: 0 auto;
      max-width: 700px;
      text-align: center;
    }
  }

  .desc p {
    border-top: 1px solid #706561;
    padding-top: 12px;
  }

  .desc a,
  .desc i,
  .desc span {
    // font-style: italic;
    font-family: 'Vollkorn SC', serif !important;
  }


// .source {
//   float: right;
//   font-size: 12px;
//   text-align: center;
// }


/* generic */
.hidden {
  opacity: 0;
  transition: opacity 400ms ease;
  /*display: none;*/
}

a {
  color: #F0882A;
}

## style-simple.css

/* segments */
.segment {
  fill-opacity: .8;
  transition: fill-opacity 400ms ease;
}

  .segment.hover,
  .segment:hover {
    fill-opacity: 1;
  }

/* labels */
.label {
  font-size: 13px;
}

.gov line {
  opacity: 1;
  stroke: #F0882A;
}

.gov .label {
  opacity: .75;
  fill: #F0882A;
  stroke: none;
}


/* axis */
.domain {
  display: none;
}

/* ticks */
.axis--x .tick {
  opacity: .5;
  font-size: 12px;
}

  .axis--x .tick line {
    opacity: 1;
    stroke: #F6F1EB;
  }

  .axis--x .tick text {
    fill: #fff;
    stroke: none;
    font-size: 1rem;
  }

  .axis--x .tick:hover {
    opacity: 1 ;
  }

/* tooltip */
.tooltip {
  position: absolute;
  top: 27px;
  width: 200px;
  padding: 10px 0;
  border-bottom: 1px solid #F0882A;
  opacity: .75;
  color: #F0882A;
  background-color: #F6F1EB;
  text-align: center;
  font-size: .75rem;
  line-height: 1.7
  pointer-events: none;
  z-index: 20;
}
  .tooltip .segment {}
  .tooltip .year {  }
  .tooltip .value {
    line-height: 1.5;
    opacity: 1;
    font-size: 1rem;
  }

@media (min-width: 720px) {
  .caption {
    width: 500px;
  }
}


/* caption */
.title, .subtitle {
  display: none;
}

/* buttons */
.buttons {
  display: flex;
  margin: 0;
  padding: 0;
  list-style-type: none;
}

.desc,
.source {
  display: none;
}


/* generic */
.hidden {
  opacity: 0;
  transition: opacity 400ms ease;
  /*display: none;*/
}

## thumbnail.png

      
    Raw
  

              thumbnail.png
start	end	pm	parties
17.10.1997	17.03.2000	Bondevik	KrF, Sp, V
17.03.2000	19.10.2001	Stoltenberg	Ap
19.10.2001	17.10.2005	Bondevik	KrF, H, V
17.10.2005	16.10.2013	Stoltenberg	Ap, SV, Sp
16.10.2013	31.12.2017	Solberg	H, FrP
	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="UTF-8">
	<meta property="og:title" content="Trender i norsk bistand">
	<meta property="og:description" content="Prioriteringer i bistanden på 2000-tallet">
	<meta property="og:image" content="http://kartoteket.as/notes/bistand/raw/preview.png">
	<meta property="og:url" content="http://kartoteket.as/notes/bistand/raw/index.html">
	<meta name="twitter:card" content="summary_large_image">
	<meta name="twitter:site" content="@Fossesvale">
	<link rel="canonical" href="http://kartoteket.as/notes/bistand/raw/index.html">
	<link href="https://fonts.googleapis.com/css?family=Vollkorn\|Vollkorn+SC" rel="stylesheet">
	<link rel="stylesheet" id="pageStyle" href="style-extended.css">
	</head>
	<body>
	<div class="wrapper">
	<div class="caption">
	<h1 class="title">Trender i norsk bistand på 2000-tallet</h1>
	<!-- <h2 class="subtitle">Prioriteringer i bistanden på 2000-tallet</h2> -->
	<ul class="buttons">
	<li class="button btn--geo"><button onclick="Chart.toggle(1)"><span>Fordelt </span>geografisk</button></li>
	<li class="button btn--sector"><button onclick="Chart.toggle(2)"><span>Fordelt på </span>sektor</button></li>
	<li class="button btn--partner"><button onclick="Chart.toggle(3)"><span>Fordelt på </span>partner</button></li>
	<li class="button btn--type"><button onclick="Chart.type()">%</button></li>
	</ul>
	</div>

	<svg></svg>

	<div class="tooltip hidden">
	<span class="year"></span> -
	<span class="segment"></span><br>
	<span class="value"></span>
	</div>

	<div class="desc">
	<p>
	Et forsøk på å bruke et <i>stabla arealdiagram</i> for å vise komparative trender. Data er henta fra Norads statistikkportal (<a href="https://norad.no/om-bistand/norsk-bistand-i-tall?tab=geo" target="_blank">Bistand i tall</a>) hvor sammenligning mellom kategorier ikke kan ses i en historisk kontekst. Mens absolutte endringer i enkeltkategorier er vanskeligere å lese utfra en visualisering som dette, blir noen relative trender tydeligere.
	For politisk kontekstualisering er regjeringsskifter indikert på tidsaksen.
	</p>
	<p>
	En <a onclick="Chart.sortStack()">alternativ sortering</a> kan i teorien øke lesbarheten (ref <a href="http://leebyron.com/streamgraph/stackedgraphs_byron_wattenberg.pdf" target="_blank">Byron & Wattenberg</a>).
	</p>
	<span class="source">
	Datakilde: <a href="https://norad.no/om-bistand/norsk-bistand-i-tall?tab=geo" target="_blank">Norad</a> (Data extracted on 2020.01.01from Norwegian Aid Statistics)
	</span>
	</div>
	</div>
	<!-- Google Analytics -->
	<script>
	(function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]\|\|function(){
	(i[r].q=i[r].q\|\|[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
	m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
	})(window,document,'script','//www.google-analytics.com/analytics.js','ga');

	ga('create', 'UA-60185757-1', 'auto');
	ga('send', 'pageview');
	</script>
	<script src="https://d3js.org/d3.v4.min.js"></script>
	<script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script>
	<script src="script.js"></script>
	</body>
	</html>
Mygroup	Partnergruppe	Partner	1999	2000	2001	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	Total
Int. & local NGOs	Internasjonale og lokale ikke-statlige organisasjoner	Andre	469026.62	544125.97	629623.79	579694.66	658401.37	646622.05	777926.91	872392.79	1333421.81	1460152.58	1888116.46	2000458.86	2405795.31	2228848.02	2435352.08	2544285.78	2475947.27	1971144.88	2149596.51	2352139.06	30423072.8
Multilateral (other)	Multilaterale organisasjoner	Andre	431046.4	492686.54	327614.54	409173.96	475820.2	465395.94	756095.28	741941.52	720839.57	849570.46	1207698.75	1041489.07	1246470.4	2283768.25	1622411.24	2003196.6	2381035.21	1799681.04	2542015.17	2573874.36	24371824.5
Other	Privat sektor	Andre	230897.52	231918.54	273861.95	315839.43	310879.86	462424.86	556502.54	475484.1	447115.61	555025.82	843877.01	718386.4	1172439.73	721351.02	940839.45	338297.01	215934	174917.49	406128.19	391533.32	9783653.85
Other	Offentlig-privat samarbeid	Andre	23833.94	19639.7	38228.39	40609.8	43982.52	48465.6	50433.56	89092.39	113497	135539.71	105388.98	131470.09	106406.76	118885.32	193322.36	90910.23	110342.38	74741.26	82613.93	122698.86	1740102.79
Other	Uspesifisert	Andre	261827.51	335883.14	67035.72	1043.76	46205.25	127306.01	98564.19	117501.48	128011.05	100648	47252.13	60274.07	65237.11	53333.44	59074.83	97015.54	79793.57	48965.12	48925.73	43277	1887174.66
Public sector (in Norway)	Offentlig sektor i Norge/andre giverland	Andre	1379776.35	1841130.48	1731083.73	2386683.05	2721295.01	2308991.04	2380687.93	2889040.03	3824296.68	3690336.51	4982208.45	5030631.14	5105482.43	5443645.12	4998425.82	6188572.14	8542114.09	11558149.77	6487877.14	5940900.2	89431327.11
Public sector (recipient)	Offentlig sektor i mottakerland	Andre	1507808.65	1549704.84	1398902.95	1398242.78	1616682.2	1548200.22	1823611.85	2000631.26	2259216.63	2144014.49	2080053.32	2227008.84	1786434.98	2066100.66	5554149.2	2421636.66	2705102.34	1989303.08	1352163.28	1401826.2	40830794.4
UN	Multilaterale organisasjoner	FN - andre	1878097.07	1763388.79	1981712.29	2178746.22	2063974.47	2136970.29	2903897.99	2849760.43	3316750.43	3315637.57	3817514.14	3894760.57	3811411.61	3978414.88	4902946.16	4519818.22	4990294.78	4761704.06	5826307.53	6547584.82	71439692.35
UNDP	Multilaterale organisasjoner	FN - UNDP	764699.52	774760.24	906203.84	1118552.41	1129781.33	1106290.05	1350392.67	1435922.42	1716369.01	1685526.7	1731566.6	1944290.83	1887705.84	1596581.23	1686988.14	1672584.88	1741552.55	1735220.92	1888390.89	1985735.28	29859115.35
UNICEF	Multilaterale organisasjoner	FN - UNICEF	498479.23	523977.74	606000.87	665643.41	776705.83	900102.06	1338447.57	1152461.1	1135125.4	1186608.04	1297689.89	1318524.41	1310074.64	1366473.68	1403517.79	1248488.44	1365577.48	1675944.27	1677199.75	1807994.3	23255035.89
Multilateral (other)	Multilaterale organisasjoner	GAVI		10232.3	198182.36	199752.84	155000	290000	290000	415500	470025.78	472441.86	462564.01	490612.52	428600	606218	749432.07	1088532	1190000	1348474.47	1507275	1385692	11758535.2
Multilateral (other)	Multilaterale organisasjoner	GFATM				130000	138300	125000	151541	271041	301000	375000	375000	375000	450000	450000	450000	500000	600000	600000	600000	700000	6591882
Norwegian NGOs	Norske ikke-statlige organisasjoner	Flyktninghjelpen	238259.73	226433.53	252729.71	259230.76	295663.1	299927.7	344030.16	434288.41	487747.37	475918.7	451821.74	552111.47	524998.36	500909.91	714645.54	726278.06	749499.71	873003.19	1010596.74	1008830.37	10426924.26
Norwegian NGOs	Norske ikke-statlige organisasjoner	Kirkens Nødhjelp	301511.37	259611.61	322689.87	345052.03	363062.71	346198.44	396893.26	482353.41	436764.31	488579.99	452964.34	469290.04	408345.51	407320.91	440644.47	605944.5	524122.47	585307.35	587405.74	545403.84	8769466.16
Norwegian NGOs	Norske ikke-statlige organisasjoner	Norges Røde Kors	317360.75	290389.53	392262.01	350089.01	355874.01	354177.41	449005.62	418899.65	388993.2	415361.53	434725.06	472712.04	455823.06	587475.87	735558.97	644644.69	702657.7	990319.48	986019.46	883586.45	10625935.49
Norwegian NGOs	Norske ikke-statlige organisasjoner	Norsk Folkehjelp	325723.11	316975.09	266036.25	306904.63	267041.29	312005.32	358341.34	421145.7	403727.81	381298.69	385390.25	344262.97	365489.5	353999.8	347399.9	361497.32	359210.96	448300.05	460211.74	434673.91	7219635.65
Norwegian NGOs	Norske ikke-statlige organisasjoner	Redd Barna Norge	136985.1	138928.47	141569.56	156291.3	181663.51	162974.09	187456.4	177806.25	196708.15	223033.15	218200.81	200463.1	182701.53	174874.16	219589	277606.23	415152.14	417076.44	418719.2	358522.87	4586321.48
Norwegian NGOs	Norske ikke-statlige organisasjoner	Andre	860849.62	794822.29	874005.44	939693.73	1067117.46	1115419.06	1358612.89	1311373.59	1514162.55	1546249.06	1665104.98	1621979.78	1621383.38	1736165.62	1850013.23	1894910.02	1930752.16	1711525.17	1741517.13	1878525.76	29034182.92
Multilateral (other)	Multilaterale organisasjoner	Regionale utviklingsbanker	304624.09	424238.24	441781.95	456499	505462.8	552054.83	591457.74	642488.18	808626.69	871166.05	875299.1	879151.39	788780.81	996445.02	812922.54	1427019.03	935685.12	1084052.86	1201461.15	1174117.13	15773333.72
World Bank	Multilaterale organisasjoner	Verdensbanken	749283.9	576298.59	1254230.96	1306572.71	1295969.2	1506412.67	1831097.36	1627790.49	1806057.23	2489956.91	2301158.63	2651053.96	2529585.08	1967364.31	2682360.47	3394473.22	2470812.62	2943123.12	3143509.41	3094724.92	41621835.77
	/* jshint laxbreak: true */
	/* jshint expr: true */
	/* global d3 */
	/* context dependent style sheet loading */
	function inIframe () {
	'use strict';
	try {
	return window.self !== window.top;
	} catch (e) {
	return true;
	}
	}
	if(inIframe()){
	document.getElementById('pageStyle').setAttribute('href', 'style-simple.css');
	}

	var Chart = (function(window,d3) {
	/* jshint validthis: true */
	/jshint latedef:false/
	'use strict';

	var width,
	height,
	margin,
	isMobileIsh,
	token = 0, // which dataset to use on load
	locale = 'no',
	showPercentage = false,
	sortOrder = showPercentage ? d3.stackOrderDescending : d3.stackOrderReverse,
	duration = 1500,
	delay = 2000,

	svg = d3.select('svg'),
	g = svg.append('g'),
	segments = g.append('g').attr('class', 'segments'),
	xAxis = g.append('g').attr('class', 'axis axis--x'),
	govGroup = g.append('g').attr('class', 'gov'),
	curtain = g.append('rect').attr('class', 'curtain'), // removed after initial render
	tooltip = d3.select('.tooltip'),
	segment,
	labels,
	govLines,
	govLabels,

	x,
	y,
	color,

	// t = d3.transition().duration(850).ease(d3.easeCubicInOut),
	goverments,
	schemes = ['Greens','YlOrRd','PuBu'],
	timeRange = d3.range(1999, 2019),
	formatYear = d3.timeFormat('%Y'),
	parseYear = d3.timeParse('%Y'),

	area,
	stack,
	aggregatedData = [],
	layers = [],
	series = [],

	no = d3.map()
	.set('Africa', 'Afrika')
	.set('America', 'Amerika')
	.set('Asia', 'Asia')
	.set('Europe', 'Europa')
	.set('The Middle East', 'Midtøsten')
	.set('Oceania', 'Oseania')
	.set('Global unspecified', 'Globalt')
	.set('Multilateral', 'Multilateralt')
	.set('Administration', 'Aministrasjon')
	.set('Good governance', 'Godt styresett')
	.set('Conflict Resolution', 'Konflikt')
	.set('Economic development and trade', 'Finans og handel')
	.set('Education', 'Utdanning')
	.set('Health and social services', 'Helse og sosial sektor')
	.set('Environment and energy', 'Miljø og energi')
	.set('Emergency assistance', 'Nødhjelp')
	.set('Multilateral', 'Multilateral')
	.set('Admin & Multilateral', 'Administrasjon og multilateralt')
	.set('Migrants in Norway', 'Flyktninger i Norge')
	.set('Unspecified', 'Uspesifisert')
	.set('Multilateral (other)','Multilateralt')
	.set('UN','FN')
	.set('World Bank','Verdensbanken')
	.set('Norwegian NGOs','Norske NGOer')
	.set('Int. & local NGOs','Internasjonale NGOer')
	.set('Public sector (in Norway)','Offentlig sektor i Norge')
	.set('Public sector (recipient)','Offentlig sektor ute')
	.set('Other','Andre');

	// d3.csv('geo.csv', parse, init);
	d3.queue()
	.defer(d3.csv, 'geo.csv', parseRow)
	.defer(d3.csv, 'sector.csv', parseRow)
	.defer(d3.csv, 'partner.csv', parseRow)
	.defer(d3.csv, 'gov.csv', parseGov)
	.await(init);

	/**
	* init chart
	*/
	function init(error, geo, sector, partner, gov) {

	if (error) { throw error; }

	aggregatedData.push(aggregateByDimension('Verdensdel', geo));
	aggregatedData.push(aggregateByDimension('Sektorgruppe', sector));
	aggregatedData.push(aggregateByDimension('Mygroup', partner));

	// re-stack data as functional series. NB: SE OGSÅ http://learnjsdata.com/group_data.html
	timeRange.forEach( function(y) {
	var row = { year: parseYear(y) };
	aggregatedData.forEach( function(data) {
	for (var d in data[0]) {
	if(showPercentage) {
	row[d] = Math.round(data[0][d][y] / data[1][y] * 100);
	} else {
	row[d] = data[0][d][y];
	}
	}
	});
	series.push(row);
	});

	// gov
	goverments = gov;

	update();
	// setTimeout(step, delay, 2);

	}

	/**
	* Updates stack, layers, segments and layers on datachange
	*/
	function update() {

	// ref:https://github.com/d3/d3-shape/blob/master/README.md#stack
	stack = d3.stack()
	.keys(Object.keys(aggregatedData[token][0]))
	.order(sortOrder)
	.offset(d3.stackOffsetWiggle);

	if(showPercentage) {
	stack.offset(d3.stackOffsetExpand);
	}

	layers = stack(series);
	// console.log(series)
	// Ref: https://github.com/d3/d3-selection#joining-data
	segment = segments.selectAll('path').data(layers);
	segment.enter()
	.append('path')
	.attr('class', 'segment')
	.on('mouseover', mouseOver)
	.on('mouseout', mouseOut)
	.on('mousemove', mouseMove)
	.merge(segment);
	segment.exit().remove();

	labels = segments.selectAll('text').data(layers);
	labels.enter()
	.append('text')
	.attr('class', 'label')
	.merge(labels);
	labels.exit().remove();

	govLines = govGroup.selectAll('line').data(goverments);
	govLines.enter()
	.append('line')
	.merge(govLines);
	govLines.exit().remove();

	govLabels = govGroup.selectAll('text').data(goverments);
	govLabels.enter()
	.append('text')
	.attr('class', 'label')
	.merge(govLabels);
	govLabels.exit().remove();

	color = d3.scaleSequential(d3['interpolate' + schemes[token]]).domain([-4, 9]); // -4 to skip the lighter end of the scale

	render();

	}


	/**
	* render
	*/
	function render() {

	setDimensions(window.innerWidth);

	// scales
	x = d3.scaleTime()
	.domain([parseYear(1999), parseYear(2018)])
	.range([0, width]);

	y = d3.scaleLinear()
	.domain([d3.min(layers, stackMin), d3.max(layers, stackMax)])
	.range([height, 0]);

	area = d3.area()
	.x(function(d) {return x(d.data.year); })
	.y0(function(d) {return y(d[0]) - 0.2; }) // .2 spacing, ref: https://bl.ocks.org/HarryStevens/c893c7b441298b36f4568bc09df71a1e
	.y1(function(d) {return y(d[1]) + 0.2; })
	// .curve(d3.curveBasis);
	.curve(d3.curveCardinal);

	// draw
	svg.attr('width', (width + margin.left + margin.right ))
	.attr('height', (height + margin.top + margin.bottom));

	g.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')');

	// layers
	segments.selectAll('.segment')
	.transition().duration(850).ease(d3.easeCubicInOut)
	.attr('d', function(d) { return area(d); })
	.attr('fill', function(d) { return color(d.index); });

	// labels
	segments.selectAll('.label')
	.attr('x', 13)
	.attr('dy', '0.35em')
	.attr('transform', 'translate(' + width + ')')
	.style('fill', function(d) { return color(d.index); })
	.style('opacity', 0 )
	.text(function(d) { return lang(d.key); })
	.transition().duration(850).ease(d3.easeCubicInOut)
	.style('opacity', 1 )
	.attr('transform', function(d) {
	var last_element = d[d.length - 1];
	return 'translate(' + width + ',' + y(last_element[1] - (last_element[1] - last_element[0])/2) + ')';
	});

	xAxis.attr('transform', 'translate(0,' + 0 + ')')
	.call(
	d3.axisBottom(x)
	.ticks(d3.timeYear.every(2))
	.tickSizeInner(height)
	.tickSizeOuter(0)
	.tickPadding(- (height / 2) - 10)
	)
	.select('.tick:last-of-type text')
	.attr('dx', -5)
	.style('text-anchor', 'end');


	govGroup.selectAll('line')
	.attr('x1', function (d) { return x(d.start); })
	.attr('y1', 28)
	.attr('x2', function (d) { return x(d.start)+3; })
	.transition().duration(350).ease(d3.easeCubicInOut)
	.attr('y2', function (d, i) {
	var modifier = showPercentage ? 0.25 : -1;
	return height + (( i%2 ? 50 : 25 ) * modifier) ;
	})
	.attr('stroke-width', function (d, i) { return i ? 1 : 0; });

	govGroup.selectAll('.label')
	.attr('text-anchor', function (d, i) { return i === 0 ? 'end' : 'start'; })
	.transition().duration(350).ease(d3.easeCubicInOut)
	.attr('transform', function(d, i) {
	var modifier = showPercentage ? 0.75 : -1;
	var xPos = i === 0 ? x(d.end) : x(d.start);
	var yPos = height + (( i%2 ? 40 : 15 ) * modifier);

	return 'translate(' + xPos + ',' + yPos + ')';
	});

	govGroup.selectAll('tspan').remove();
	govGroup.selectAll('.label').append('tspan')
	.text(function(d) { return d.pm; })
	.attr('x', function (d, i) { return i === 0 ? -10 : -1; })
	.attr('dy', '0.35em');

	govGroup.selectAll('.label').append('tspan')
	.text(function(d) { return '(' + d.parties + ')'; })
	.attr('x', function (d, i) { return i === 0 ? -10 : -1; })
	.attr('dy', '1.35em')
	.style('font-size', '10px');


	// position caption and credits
	// var caption = d3.select('.caption');
	// var captionOffset = Math.max(0, width - caption.node().getBoundingClientRect().width)/2;
	// caption.style('left', captionOffset + 'px');

	// Animate curtain on first render only
	g.select('.curtain')
	.attr('x', -1 * width)
	.attr('y', -1 * height)
	.attr('height', height)
	.attr('width', width)
	.attr('transform', 'rotate(180)')
	.style('fill', '#fcfcfc')
	.transition().duration(850).ease(d3.easeCubicInOut)
	.attr('width', 0)
	.remove();

	}

	// auxiliary functions
	function lang(s) {

	if(locale === 'no' && no.has(s)) {
	return no.get(s);
	}
	return s;
	}


	function mouseOver () {
	d3.select(this).classed('hover', true);
	}

	function mouseOut () {
	d3.select(this).classed('hover', false);
	tooltip.classed('hidden', true);
	}

	function mouseMove (d) {
	var mouse = d3.mouse(this),
	mouseX = mouse[0],
	aligner = -2 + (width - mouseX) / (width / 2),
	year = formatYear(d3.timeYear.round(x.invert(mouseX))),
	// year = formatYear(x.invert(mouseX)),
	data = d.filter(function(a) { return formatYear(a.data.year) === year; })[0].data,
	segment = d.key;

	if(data.hasOwnProperty(segment)) {

	var value = d3.format('s')(data[segment]);
	var percent = d3.format('.0%')(data[segment] / aggregatedData[0][1][year]);

	tooltip.select('.segment').text(lang(segment));
	tooltip.select('.year').text(year);
	tooltip.select('.value').text(showPercentage ? percent : value);

	tooltip.style('left', ( mouseX + (90 * aligner) ) +'px')
	// .style('color', color(d.index))
	// .style('top', '100px')
	.classed('hidden', false);
	}
	}

	function toggle(index) {
	token = index ? index-1 : token++;
	if (token === series.length) {
	token = 0;
	}
	update();
	}

	function sortStack() {
	sortOrder = sortOrder === d3.stackOrderInsideOut ? ( showPercentage ? d3.stackOrderDescending : d3.stackOrderReverse ) : d3.stackOrderInsideOut;
	update();
	}

	function type() {
	showPercentage = !showPercentage;
	sortOrder = showPercentage ? d3.stackOrderDescending : d3.stackOrderReverse;
	if (event) {
	event.target.textContent = showPercentage ? 'NOK' : '%';
	}
	update();
	}


	function aggregateByDimension(dimension, data) {
	var totals;
	var sumTotals = {};

	totals = d3.nest()
	.key(function(d) { return d[dimension]; })
	.rollup(function(v) {
	var row = {};
	timeRange.forEach( function(y) {
	row[y] = Math.round(d3.sum(v, function(d) {
	// if(dimension === 'Verdensdel' && d.Verdensdel === 'Multilateral'){
	// console.log(d)
	// }
	return d[y];
	}));
	});
	return row;
	})
	.object(data);

	timeRange.forEach( function(y) {
	sumTotals[y] = d3.nest()
	.rollup(function(values) { return d3.sum(values, function(d) { return d[y]; }); })
	.object(data);
	});
	// console.log(totals)
	return [totals, sumTotals];
	}

	function parseRow(input) {
	var output = {};
	for (var k in input) {
	if(isNaN(k)) {
	output[k] = input[k];
	} else {
	output[k] = +input[k];
	}
	}
	return output;
	}

	function parseGov(d) {
	var parser = d3.timeParse('%d.%m.%Y');
	return {
	start: parser(d.start),
	end: parser(d.end),
	pm: d.pm,
	parties: d.parties
	};
	}

	function stackMax(layer) {
	return d3.max(layer, function(d) { return d[1]; });
	}

	function stackMin(layer) {
	return d3.min(layer, function(d) { return d[0]; });
	}

	function setDimensions(window) {
	isMobileIsh = window <= 470;
	if (isMobileIsh) {
	margin = {top: 20, right: 20, bottom: 10, left: 10 };
	} else {
	margin = {top: 30, right: 200, bottom: 50, left: 20 };
	}

	width = Math.min(window, 970) - margin.left - margin.right;
	height = width/1 - margin.top - margin.bottom;

	}

	function step (i) {
	if ( i >= 75) {
	sortStack();
	} else if (i > 50) {
	type();
	} else {
	toggle(Math.min(Math.round(i/10),3));
	}
	i = Math.random() * 100 \| 4;
	setTimeout(step, delay, i);
	}

	return {
	render : render,
	toggle : toggle,
	sortStack : sortStack,
	type: type,
	};

	})(window,d3);

	window.addEventListener('resize', Chart.render); // should debounce...
	Sektorgruppe,Sektor,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,Total,
	Good governance,Conflict prevention and resolution, peace and security,255975.66,216824.56,294270.79,329156.34,391208.64,395886.23,516240.08,1026265.24,1174813.02,1175604.74,1255187.94,1292002.93,1285982.5,1293312.33,1300422.56,1299929.93,1249411.92,1106478.53,1272204.75,1551285.02,18682463.69,
	Good governance,Government and civil society, general,853836.74,1106901.91,1220029.38,1501574.26,1321593.13,1635980.93,1814286.72,1859283.82,2221386.54,2289280.09,2640717.8,2581538.55,2672232.2,2597083.57,3136232.17,2917551.81,2848869.33,2464344.58,2519562.86,3038558.61,43240845,
	Economic development and trade,Action relating to debt,182650,81920.19,187513.47,106871.06,157452.5,82742.3,15303.66,144685.49,231680.67,181090.77,76851.11,99687.53,122000.06,123073.92,139323.31,115035.01,140342.88,150190.23,202043.39,210290.6,2750748.15,
	Economic development and trade,Industry,123068.2,53819.51,61480.06,48877.67,1471.34,70293.13,77153.72,80394.17,68991.79,46835.47,60609.95,121444.12,95209.13,154081.05,142034.59,148167.63,152017.95,78844.42,92497.33,119130.21,1796421.44,
	Economic development and trade,Other multisector,233090.92,203248.55,401545.88,400416.93,597359.68,564803.49,1000160.39,877225.68,925795.84,931365.42,660605.6,950311.91,819786.97,1035599.76,865220.17,884838.97,714908.15,675269.64,975028.19,1317729.49,15034311.62,
	Economic development and trade,Construction,,,1500,56.4,1574.59,1358.2,113.11,34.81,955,948,-14.59,98.4,420.6,73.6,3800,1000,1323.91,1718.99,,,14961.02,
	Economic development and trade,Business and other services,96081.58,116787.71,91051.73,125115.17,150114.84,216941.99,228630.42,244227.16,264339.81,204313.38,224993.02,183364.51,187667.68,103499.96,43813.41,1334136.11,1554005.19,1497189.88,1598332.26,1792563.66,10257169.47,
	Economic development and trade,Tourism,272.81,686.76,923.2,975.4,5645.86,3993.08,36397.03,6015.35,3167.93,28016.37,420.93,18706.98,71549.46,6455.75,15607.73,2751.06,1957.3,2518.76,2220.58,2386.75,210669.08,
	Economic development and trade,Other commodity assistance,,,,,,,268.91,426.44,367.59,14879.33,2511,2760.28,,,,,,,,,21213.55,
	Economic development and trade,General budget support,85000,130000,164000,236262,372464,408961.72,390492.28,576782,824400,1161735,1100082,1079315,872390,652550,490000,419000,415349,235000,235000,150000,9998783,
	Economic development and trade,Developmental food aid / Food security assistance,,,3517,19532.95,28661.88,552.22,132.99,41849.08,5076.39,7844.98,5267.4,4223.74,3000,27000,25000,344.74,2391.91,50,,100,174545.28,
	Economic development and trade,Banking and financial services,106274.51,78417.71,57000.4,87285.45,76733.93,160119.36,109272.94,83501.7,250062.96,220713.34,291841.58,252701.75,764055.54,142346.35,442184.67,48715.35,39832.03,69470.72,129605.41,89792.28,3499927.99,
	Economic development and trade,Communications,58602.75,51958.47,46264.76,54179.44,27373.44,16980.83,19383,66429.45,25580.17,62501.25,-25512.97,-29835.6,12408.15,12869.79,7293.94,14924.9,16341.11,12412.88,17910.31,13001.89,481067.96,
	Economic development and trade,Fishing,78320.17,155023.69,130795.65,100567.81,116696.7,110070.55,208051.2,127839.26,116669.42,122651.5,139454.51,138059.29,152150.08,170248.04,190390.35,172717.19,204895.61,167864.92,253418.62,280524.57,3136409.1,
	Economic development and trade,Transport and storage,66339.42,50785.41,65441.5,66761.29,145322.4,50680.23,63892.06,95515.73,115016,8743.05,59028.79,31199.21,23218.04,6773.06,947.5,2751.91,5096.26,3644.73,7268.96,-315.61,868109.93,
	Economic development and trade,Trade policy and regulations and trade-related adjustments,17250,22797.38,26594.35,38719.82,52786.98,55156.06,66406.44,72207.95,120845.9,108516.13,115688.17,112687.08,101973.2,103887.81,77003.1,92558.21,92654.59,72988.69,78829.6,100401.39,1529952.86,
	Economic development and trade,Agriculture,194830.79,243219.3,294725.64,336194.58,297871.68,354611.92,320452.47,369732.8,446322.34,418424.15,500087.93,462154.67,476223.85,557160.85,911779.5,711254.44,663819,447486.66,531868.02,487521.77,9025742.35,
	Economic development and trade,Forestry,59403.21,69550.96,41973.49,44486.53,29870.84,46484.55,25046.97,19873.26,29752.32,110475.42,67952.5,82257.91,76904.62,62282.58,38709.12,40048.23,33823.99,31860.05,14076.21,15632.56,940465.35,
	Economic development and trade,Mineral resources/ mining,5902.95,11014.78,20065.61,15885.46,20912,16765.36,42675.86,56893.08,90256.91,148217.69,162269.6,181875.86,235936.51,187646.41,165244.03,164793.96,139271.98,117675.65,110026.65,89402.45,1982732.8,
	Education,Secondary education,71367.48,37337.03,62955.99,58307.8,25394.6,32084.55,51314.17,63682.64,42114.99,52071.99,69711.28,56929.05,49088.8,44770.05,30289.53,47111.5,53347.93,87589.05,148042.05,180893.13,1264403.61,
	Education,Post-secondary education,152818.06,185705.18,183107.72,190231.44,193768.86,185299.78,180961.06,146414.17,207915.19,297040.51,323497.1,299895.99,224726.07,231155.75,222598.58,276754.18,248690.43,321342.81,291173.8,253581.65,4616678.33,
	Education,Basic education,300255.75,290489.97,310723.8,442982.75,651097.19,781130.16,1072292.73,1065261.39,872036.77,923188.03,1030290.43,924050.5,1004658.86,1047931.02,1111222.47,1143618.82,1702462.21,2180227.16,1973954.77,2050394.67,20878269.43,
	Education,Education, level unspecified,189244.4,154055.45,162407.56,164185.63,215281.29,294653.54,357189.3,444555,453633.46,269007.75,335664.05,321959.56,238079.43,283753.72,341895.92,342645.81,469066.82,503009.1,653818.82,531926.02,6726032.62,
	Health and social services,Non-communicable diseases (NCDs),,,,,,,,,,,,,,,765.12,5955.63,14080.43,17373.4,26877.86,30621.25,95673.69,
	Health and social services,Health, general,188148.86,180416.53,293260.54,257404.69,327635.61,262871.01,369903.65,376652.57,403845.16,368252.77,347774.55,346887.13,403697.43,454833.07,622952.19,542914.24,537074.45,615029.77,551030.38,467590.44,7918175.04,
	Health and social services,Other social infrastructure and services,407737.3,616834.76,460988.03,590826.6,514008.04,565106.2,736848.13,570929.76,519245.26,578582.93,554553.44,480983.72,461578.66,411147.92,536999.69,460142.28,410196.69,416943.16,538274.14,364420.91,10196347.63,
	Health and social services,Water supply and sanitation,227267.24,214177.75,173938.86,216564.05,152020.2,212650.71,281804.52,230533,272989.63,254828.42,261304.68,234407.47,126815.65,164761.88,186364.08,236157.6,206834.38,157559.45,134907.75,146050.49,4091937.81,
	Health and social services,Population policies/programmes and reproductive health,131960.91,181707.85,246918.8,252156.22,277388.63,269475.73,287410.89,386392.64,398820.39,449202.1,735745.82,455836.35,438333.4,443039.88,921201.91,858729.5,728373.89,177440.72,312454.61,432243.92,8384834.16,
	Health and social services,Basic health,135837.57,191854.03,194407.65,206913.74,190396.53,253132.87,332847.83,355539.68,274009.13,456001.59,377180.89,206201.12,370409.78,342007.51,279861.18,505990.99,552929.62,1034727.35,1216601.38,1244309.01,8721159.45,
	Environment and energy,Energy generation, renewable sources,131617.13,91161.34,39850.2,61734.83,114638.54,123137.64,307042.7,272123.71,1319032.15,576038.28,71428.6,465189.65,865841.03,1430283.66,789543.65,816897.73,468510.74,126171.75,153540.53,180219.42,8404003.27,
	Environment and energy,Energy generation, non-renewable sources,656.93,634.74,,,1500,180,,622.87,40980.85,31669.15,1673.16,25454.73,1271.53,500,3453,3713.24,3889.19,,,,116199.38,
	Environment and energy,Nuclear energy electric power plants,,,,823.39,1784.09,1550.67,7208.3,9755.95,9313.51,,19400,14499.08,22279.38,19441.32,8891.46,14081.46,19796.62,3070,,-129.23,151766,
	Environment and energy,Energy Policy,78071.52,52324.39,131947.72,86738.67,84506.37,124663.19,135935.15,134648.79,206820.33,246842.64,161448.61,187468.34,258721.03,329345.95,278917.73,203481.86,287893.52,230424.62,251276.55,268517.63,3739994.59,
	Environment and energy,General environmental protection,352972.41,331465.87,418034.81,357223.93,373804.96,372539.93,374271.14,470700.57,566460.78,747720.29,1730297.78,2123455.68,1681799.23,2626655.46,5624624.88,3806139.64,3279340.76,2943060.84,3187991.04,3348635.45,34717195.46,
	Environment and energy,Heating, cooling and energy distribution,285645.51,247729.58,248202.86,227668.32,236939.35,179051.32,190445.88,198878.74,96358.38,253662.04,313732.83,270419.46,293852.73,289382.1,281978.32,198352.68,147861.84,301779.11,148343.06,214163.45,4624447.57,
	Emergency assistance,Reconstruction relief and rehabilitation,54518.04,70806.22,123256.03,149484.84,119138.45,83752.8,93937.09,90883.66,154318.03,112092.65,88614.08,290610.68,150155.99,118574.83,78354.84,313074.56,113979.41,108192.9,218218.34,125407.77,2657371.22,
	Emergency assistance,Disaster prevention and preparedness,,,,,,,,,,50634.91,130267.43,118723.91,190146.9,211710.15,293421.94,331296.73,274857.58,157861.81,149138.25,48800.64,1956860.25,
	Emergency assistance,Emergency Response,1469690.41,924550.07,1011256.24,1033205.52,1227915.73,1007646.66,2139868.5,1379910.72,1578495.88,1596796.32,1178842.1,1752153.48,1774391.15,1621495.79,2149754.32,2185337.3,2827936.68,3579003.21,4132243.37,3973633.88,38544127.33,
	Adm. og multilateral,Administrative costs/multilateral,2798090.39,2882672.62,3525542.71,3956754.55,3897266.31,4173378.75,4580911.08,5078764.13,5567811.46,6055613.09,6296367.26,6463820.78,6786877.19,7154169.36,7440235.73,7542926.26,7829425.46,7859050.49,8298003.66,8354095.47,116541776.74,
	Adm. og multilateral (Norge),Administrative costs/multilateral,525727.19,562704,595177.41,651491.32,703942.43,792829.79,885265.67,1041434.65,1117803.93,1222298.87,1386964.22,1452090.79,1503048.95,1536912.89,1780013.19,1777884.17,1958192.25,1957761.5,2086886.61,2123844.12,25662273.96,
	Uspesifisert,Unallocated/unspecified,328363.7,441161.35,205392.33,132546.51,116466.53,157309.26,244157.94,361265.08,334736.75,272372.41,337955.07,341271.95,359181.27,321475.04,234564.38,305470.96,341640.57,158764.51,365620.58,206983.91,5566700.11,
	Flyktninger i Norge,Refugees in donor countries,433200,864400,607694,994152.15,1248874.02,750110.92,431020.31,398782,456233.66,805993,2532839,2027068,1475103,1318883,1586683,1756514,3732893,6719562,1239643,827431,30207079.08,

	body {
	font-family: 'Vollkorn SC', serif;
	background-color: #F6F1EB /#F7EEDF/;
	color: #332E2C;
	}
	.wrapper {
	position: relative;
	max-width: 970px;
	margin: 30px auto;
	}


	/* segments */
	.segment {
	fill-opacity: .8;
	transition: fill-opacity 400ms ease;
	}

	.segment.hover,
	.segment:hover {
	fill-opacity: 1;
	}

	/* labels */
	.label {
	font-size: 13px;
	}

	.gov line {
	opacity: .5;
	stroke: #F0882A;
	}

	.gov .label {
	opacity: .75;
	fill: #F0882A;
	stroke: none;
	}


	/* axis */
	.domain {
	display: none;
	}

	/* ticks */
	.axis--x .tick {
	opacity: .5;
	font-size: 12px;
	}

	.axis--x .tick line {
	opacity: 1;
	stroke: #F6F1EB;
	}

	.axis--x .tick text {
	fill: #fff;
	stroke: none;
	font-size: 1rem;
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	.axis--x .tick:hover {
	opacity: 1 ;
	}

	/* tooltip */
	.tooltip {
	position: absolute;
	top: 100px;
	width: 200px;
	padding: 10px 0;
	border-bottom: 1px solid #F0882A;
	opacity: .75;
	color: #F0882A;
	background-color: #F6F1EB;
	text-align: center;
	font-size: .75rem;
	line-height: 1.7
	pointer-events: none;
	z-index: 20;
	}
	.tooltip .segment {}
	.tooltip .year { }
	.tooltip .value {
	line-height: 1.5;
	opacity: 1;
	font-size: 1rem;
	}

	/* caption */
	.caption {
	position: relative;
	border-top: 1px solid #706561;
	font-size: .8rem;
	text-align: center;
	}
	@media (min-width: 720px) {
	.caption {
	width: 540px;
	margin: 0 auto;
	}
	}
	/*
	@media (min-width: 1440px) {
	.caption {
	position: absolute;
	top: 30px;
	background-color: #F6F1EB;
	margin-left: 12px;
	}
	}
	*/
	.title {
	font-weight: 400;
	font-size: 1.1rem;
	margin-bottom: 1px;

	}
	.subtitle {
	font-weight: 400;
	font-size: .8rem;
	margin-top: 0px;
	margin-bottom: 6px;
	}


	/* buttons */
	.buttons {
	display: flex;
	justify-content: space-between;
	width: 100%;
	margin: 0;
	padding: 0;
	border-top: 1px solid #706561;
	list-style-type: none;
	/* z-index: 1000;*/
	}
	.button {
	flex: 1;
	}

	.button + .button {
	border-left: 1px solid #706561;
	}

	button:hover,
	.button:hover {
	background-color: rgba(51,46,44,0.1);
	cursor: pointer;
	}

	.button button {
	border: 0;
	border-radius: 0;
	padding: 12px 16px;
	background-color: transparent;
	font-family : inherit;
	font-size: 12px;
	}

	button:focus {
	outline: none;
	}

	@media (max-width: 720px) {
	.button button span {
	display: none;
	}
	}

	.btn--geo button {
	color: #155C2B;
	}
	.btn--sector button {
	color: #B13451;
	}
	.btn--partner button {
	color: #3D6E8D;
	}
	.btn--type {
	flex: 0 1 59px;
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	.desc {
	font-family: Vollkorn, serif;
	font-size: 14px;
	line-height: 1.33;
	text-align: justify;
	}

	@media (min-width: 720px) {
	.desc {
	margin: 0 auto;
	max-width: 700px;
	text-align: center;
	}
	}

	.desc p {
	border-top: 1px solid #706561;
	padding-top: 12px;
	}

	.desc a,
	.desc i,
	.desc span {
	// font-style: italic;
	font-family: 'Vollkorn SC', serif !important;
	}


	// .source {
	// float: right;
	// font-size: 12px;
	// text-align: center;
	// }



	/* generic */
	.hidden {
	opacity: 0;
	transition: opacity 400ms ease;
	/display: none;/
	}

	a {
	color: #F0882A;
	}