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Global_Warming_Analysis

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Um124 commited on May 11, 2023

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data/cars_trucks_and_buses_per_1000_persons.csv +158 -0
data/co2_emissions_tonnes_per_person.csv +0 -0
data/coal_consumption_per_cap.csv +66 -0
data/electricity_generation_per_person.csv +66 -0
data/electricity_use_per_person.csv +139 -0
data/forest_coverage_percent.csv +193 -0
data/hydro_power_generation_per_person.csv +119 -0
data/income_per_person_gdppercapita_ppp_inflation_adjusted.csv +0 -0
data/industry_percent_of_gdp.csv +190 -0
data/natural_gas_production_per_person.csv +50 -0
data/oil_consumption_per_cap.csv +66 -0
data/oil_production_per_person.csv +50 -0
data/yearly_co2_emissions_1000_tonnes.csv +0 -0
images/gw.jpg +0 -0
pages/Automobile Data Analysis.py +69 -0
pages/Carbon dioxide data Analysis.py +87 -0
pages/Coal Consumption data Analysis.py +87 -0
pages/Electricity Generation data Analysis.py +97 -0
pages/Electricity use data Analysis.py +96 -0
pages/Forest Coverage data Analysis.py +125 -0
pages/Hydro Power Generation data Analysis.py +86 -0
pages/Income per Person GDP data Analysis.py +97 -0
pages/Industry GDP data Analysis.py +86 -0
pages/Natural Gas data Analysis.py +86 -0
pages/Oil Consumption data Analysis.py +86 -0
pages/Oil Production data Analysis.py +85 -0
pages/Yearly Co2 Emissions data Analysis.py +100 -0
requirements.txt +5 -0

data/cars_trucks_and_buses_per_1000_persons.csv ADDED Viewed

	@@ -0,0 +1,158 @@

+geo,2002,2003,2004,2005,2006,2007
+Afghanistan,,,,,,22.8
+Albania,73,,85,87.5,97.3,102
+Algeria,,88,89,91,,
+Angola,,,,,,39.6
+Argentina,,,,,,314
+Armenia,,,,,,105
+Australia,,644,653,671,,653
+Austria,588,595,599,,552,557
+Azerbaijan,58,61,66,61,,
+Bahamas,,,,,,81.7
+Bahrain,382,383,,,,482
+Bangladesh,,,,,2.05,2.26
+Barbados,337,377,375,,,406
+Belarus,,,,,,282
+Belgium,526,524,529,,535,539
+Belize,155,162,,,,178
+Benin,,,,,,20.6
+Bhutan,17,,,,,38.3
+Bolivia,,45,49,,,68.4
+Bosnia and Herzegovina,,,,,,170
+Botswana,85,96,105,113,,114
+Brazil,,164,170,,,198
+Brunei,,,,,,696
+Bulgaria,325,338,360,,,295
+Burkina Faso,,,,,,10.8
+Burundi,,,,,,5.67
+Canada,582,582,,,,597
+Cape Verde,,,,,,94
+Central African Republic,,,,,,0.295
+Chad,,,,,5.84,
+Chile,135,135,,150,157,164
+China,13,15,21,24,28.1,32.2
+Colombia,,,,59,,65.6
+Comoros,,,,,,33.5
+"Congo, Dem. Rep.",,,,,,5
+"Congo, Rep.",,,,,,25.8
+Costa Rica,146,190,198,,,152
+Croatia,313,356,337,349,366,377
+Cuba,,,,,,38
+Cyprus,506,521,553,742,,622
+Czech Republic,394,,,,,470
+Denmark,424,,430,437,,466
+Dominican Republic,111,105,110,115,,123
+Ecuador,,54,55,61,66.4,63.1
+El Salvador,,,,,,83.7
+Eritrea,,,,,,11.3
+Estonia,358,427,459,477,,444
+Ethiopia,2,2,,,,3
+Fiji,,,,,,173
+Finland,,497,515,531,542,559
+France,593,594,595,596,598,601
+Gambia,8,8,7,,,7.28
+Georgia,70,71,,,,116
+Germany,576,576,580,585,598,623
+Ghana,19,21,,,17.9,33
+Greece,435,453,476,497,522,112
+Guatemala,,,,,,117
+Guinea-Bissau,1,,,,,32.9
+Guyana,,,,,,95.4
+Honduras,,,,,,96.9
+Hungary,300,316,,,374,384
+Iceland,638,656,685,724,,774
+India,11,12,,,,
+Indonesia,109,,,,,75.8
+Iran,,,,,,15.6
+Ireland,436,447,,,,537
+Israel,286,285,288,293,,305
+Italy,653,,,667,,677
+Jamaica,,,,,188,
+Japan,582,581,586,,,595
+Jordan,,100,106,115,127,137
+Kazakhstan,90,96,100,116,139,170
+Kenya,17,17,18,,,21.1
+Kiribati,,,,,,144
+Kuwait,,397,422,,,502
+Kyrgyz Republic,,,,,,59.1
+Lao,57,,,,,20.8
+Latvia,339,329,348,377,415,459
+Liberia,,,,,,2.87
+Libya,,,,257,,291
+Lithuania,375,401,421,467,513,479
+Luxembourg,712,718,729,,,512
+"Macedonia, FYR",163,,,,,136
+Malawi,,,,,,8.59
+Malaysia,258,272,,,,
+Maldives,,11,12,,,19.7
+Mali,,,,,,9.22
+Malta,617,633,636,,,558
+Mauritius,116,122,130,,138,150
+Mexico,194,203,200,208,222,244
+"Micronesia, Fed. Sts.",,,,,,36.5
+Moldova,81,78,87,94,,120
+Monaco,,,,,,872
+Mongolia,42,43,,,,61.5
+Morocco,,59,,,,71
+Mozambique,,,,,,9.93
+Myanmar,,5,,5,5.79,7.07
+Namibia,85,,,,,109
+Nepal,,,,,,5.27
+Netherlands,486,,,,,503
+New Zealand,738,681,701,720,722,729
+Nicaragua,39,42,46,,,47.8
+Niger,5,5,5,5,,
+Nigeria,,,,,,30.8
+Norway,521,525,535,546,,572
+Oman,,,,,,225
+Pakistan,8,,14,,,11.1
+Palestine,,30,35,36,,16.1
+Panama,103,,,,,188
+Papua New Guinea,,,,,,8.87
+Paraguay,,,,,,82
+Peru,47,47,47,,,51.7
+Philippines,35,,,34,,32
+Poland,347,357,386,386,416,451
+Portugal,,507,,,,
+Qatar,508,,,,,724
+Romania,,177,185,181,,
+Russia,,,,,228,245
+Rwanda,,,,,,3.88
+Samoa,,,,59,,
+Sao Tome and Principe,,,,,,2.16
+Senegal,,,,,,20.4
+Serbia,,,,,244,223
+Seychelles,114,121,,,,173
+Sierra Leone,4,,,,,5.21
+Singapore,133,133,134,137,141,149
+Slovak Republic,280,288,256,,287,282
+Slovenia,484,492,505,518,531,547
+South Africa,144,,136,143,151,159
+South Korea,293,303,311,319,328,338
+Spain,559,550,,,,601
+Sri Lanka,42,,,51.2,54.7,57.9
+St. Vincent and the Grenadines,126,138,,,,204
+Sudan,,,,,,28
+Suriname,,227,238,,,
+Swaziland,82,84,,,,89
+Sweden,501,,508,513,516,523
+Switzerland,550,554,559,563,564,569
+Syria,34.7,36.2,37.6,42.5,47.9,51.5
+Tajikistan,,,,,,38.2
+Tanzania,,,,,,11.7
+Togo,,,,,,1.98
+Trinidad and Tobago,,,,,,351
+Tunisia,89,,95,,,103
+Turkey,90,91,108,117,124,131
+Turkmenistan,,,,,,106
+Uganda,,,,,,6.5
+Ukraine,135,139,125,128,,140
+United Arab Emirates,,,,,,313
+United Kingdom,505,496,510,517,,527
+United States,,796,808,675,,820
+Uruguay,,,,176,,
+Venezuela,,,,,,147
+Vietnam,8,,,,,13.5
+Yemen,,,,,,34.8
+Zambia,,,,,,17.7
+Zimbabwe,,,,,,106

data/co2_emissions_tonnes_per_person.csv ADDED Viewed

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data/coal_consumption_per_cap.csv ADDED Viewed

	@@ -0,0 +1,66 @@

+geo,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016
+Algeria,0.00554,0.00524,0.00389,0.004,0.00495,0.0057,0.00154,0.0013,0.00146,0.00117,0.00144,0.00273,0.00345,0.0017,0.00384,0.00331,0.00226,0.0406,0.0351,0.0377,0.0382,0.0381,0.0442,0.0405,0.0333,0.0254,0.0256,0.0297,0.0237,0.0219,0.0215,0.00993,0.0171,0.0181,0.0191,0.0155,0.0177,0.023,0.0187,0.022,0.0178,0.0261,0.0221,0.0217,0.0137,0.00858,0.00747,0.00777,0.00412,0.00458,0.00361,0.00356
+Argentina,0.0357,0.0369,0.0356,0.0282,0.0371,0.0409,0.0331,0.0291,0.0301,0.038,0.0404,0.0406,0.0316,0.0445,0.0347,0.0332,0.0297,0.0291,0.026,0.0173,0.0198,0.029,0.0317,0.0324,0.032,0.0287,0.0221,0.0193,0.0225,0.0314,0.0278,0.0258,0.0236,0.0202,0.0201,0.0166,0.0177,0.0148,0.0178,0.0277,0.0288,0.0267,0.0305,0.0345,0.0234,0.0308,0.0372,0.0311,0.0295,0.0346,0.0313,0.0241
+Australia,1.53,1.55,1.55,1.55,1.57,1.55,1.53,1.57,1.61,1.66,1.69,1.73,1.79,1.81,1.87,1.91,1.93,1.92,1.9,1.98,2.01,2.03,2.08,2.15,2.22,2.24,2.26,2.24,2.23,2.25,2.3,2.37,2.47,2.55,2.53,2.52,2.46,2.49,2.53,2.61,2.56,2.58,2.51,2.57,2.44,2.23,2.14,1.98,1.86,1.82,1.85,1.82
+Austria,0.696,0.66,0.621,0.61,0.597,0.639,0.583,0.527,0.522,0.549,0.477,0.507,0.426,0.433,0.471,0.484,0.496,0.472,0.505,0.575,0.574,0.511,0.506,0.483,0.484,0.53,0.553,0.427,0.381,0.384,0.434,0.434,0.46,0.405,0.401,0.453,0.466,0.471,0.5,0.487,0.485,0.491,0.47,0.45,0.344,0.402,0.41,0.379,0.382,0.347,0.373,0.364
+Azerbaijan,,,,,,,,,,,,,,,,,,,,,0.0138,0.0136,0.0134,0.0131,0.0129,0.0123,0.00911,0.00161,0.0004,0.00052,0.00039,0.00038,0.00038,0,0,0,0.00037,0.00024,0.00036,0.00011,0.00038,0.00037,0.00014,0.00079,0.00046,0.00006,0.00038,0.00006,0.00031,0.00017,0.00004,0.00004
+Bangladesh,0,0,0,0,0,0,0,0.00138,0.00177,0.00154,0.00175,0.00169,0.00172,0.00162,0.00117,0.00152,0.00152,0.0018,0.00099,0.00039,0.00053,0.00077,0.00118,0.00119,0.00121,0.00265,0.00083,0.00076,0.00028,0.00025,0.0027,0.00145,0.00261,0.00074,0.00036,0.00251,0.00261,0.00267,0.00251,0.00248,0.00335,0.00324,0.0042,0.00431,0.00515,0.00532,0.00474,0.00579,0.00612,0.00488,0.0043,0.00499
+Belarus,,,,,,,,,,,,,,,,,,,,,0.217,0.236,0.228,0.242,0.237,0.208,0.197,0.164,0.142,0.0994,0.0939,0.114,0.121,0.108,0.1,0.1,0.0724,0.0687,0.0651,0.0642,0.0713,0.0642,0.0728,0.0681,0.065,0.0681,0.0819,0.0835,0.0907,0.083,0.0702,0.0821
+Belgium,2.03,1.84,1.8,1.85,1.8,1.69,1.39,1.33,1.11,1.18,0.882,0.917,0.928,0.949,1.06,1.06,1.1,1.1,0.938,1.09,1.08,0.922,0.917,0.925,0.97,1.06,1,0.914,0.839,0.883,0.849,0.809,0.781,0.786,0.688,0.778,0.717,0.618,0.577,0.56,0.49,0.466,0.413,0.422,0.289,0.344,0.319,0.29,0.3,0.297,0.282,0.262
+Brazil,0.0208,0.0219,0.022,0.0211,0.023,0.0256,0.0251,0.0258,0.0247,0.0256,0.0297,0.031,0.0384,0.0431,0.0457,0.0487,0.0466,0.0481,0.0529,0.0638,0.0739,0.0733,0.0752,0.0754,0.0734,0.0643,0.0724,0.0691,0.07,0.0707,0.073,0.0741,0.0734,0.0708,0.0706,0.0742,0.072,0.0687,0.0704,0.0729,0.0695,0.0678,0.0711,0.0713,0.057,0.0735,0.0778,0.0762,0.0814,0.0858,0.0858,0.0795
+Bulgaria,0.729,0.746,0.805,0.868,0.867,0.943,0.925,0.948,0.95,0.929,0.97,0.9,0.894,0.95,0.977,1.02,1.03,1.08,1.08,1.08,1.12,1.15,1.16,1.08,1.11,0.986,0.878,0.871,0.949,0.894,0.91,0.932,0.954,0.922,0.804,0.804,0.913,0.845,0.939,0.932,0.897,0.914,1.04,1.01,0.858,0.931,1.1,0.948,0.816,0.886,0.922,0.806
+Canada,0.785,0.757,0.737,0.787,0.747,0.789,0.738,0.685,0.695,0.696,0.668,0.78,0.985,0.801,0.75,0.904,0.913,0.955,0.989,1.09,1.04,0.948,1,1.06,1.05,0.98,0.937,0.943,0.827,0.868,0.898,0.907,0.94,0.996,0.949,0.995,1.02,1.02,1.01,0.939,0.931,0.893,0.917,0.88,0.695,0.725,0.63,0.603,0.589,0.554,0.546,0.515
+Chile,0.135,0.136,0.133,0.131,0.128,0.134,0.127,0.103,0.11,0.103,0.0807,0.0802,0.085,0.0816,0.0889,0.0968,0.0951,0.0624,0.0737,0.0978,0.0963,0.09,0.0911,0.125,0.166,0.197,0.159,0.135,0.134,0.156,0.166,0.227,0.291,0.271,0.276,0.21,0.163,0.163,0.154,0.176,0.171,0.211,0.248,0.262,0.237,0.264,0.336,0.388,0.432,0.432,0.412,0.46
+China,0.158,0.165,0.143,0.138,0.162,0.201,0.226,0.234,0.232,0.224,0.248,0.25,0.271,0.293,0.299,0.306,0.3,0.313,0.331,0.354,0.38,0.39,0.416,0.438,0.451,0.45,0.465,0.481,0.507,0.535,0.537,0.557,0.542,0.534,0.546,0.55,0.575,0.627,0.743,0.861,1,1.09,1.19,1.2,1.25,1.29,1.39,1.4,1.42,1.41,1.37,1.34
+Colombia,0.105,0.102,0.109,0.0963,0.1,0.102,0.0771,0.0783,0.078,0.0922,0.0916,0.0876,0.0878,0.0867,0.0855,0.0877,0.0873,0.0889,0.0958,0.0975,0.0985,0.0952,0.117,0.0917,0.104,0.0466,0.0575,0.0945,0.0974,0.11,0.0964,0.0735,0.0858,0.0803,0.0632,0.0669,0.0649,0.0527,0.0576,0.0497,0.0309,0.0848,0.0728,0.109,0.0881,0.102,0.0804,0.0983,0.105,0.11,0.11,0.0942
+Czech Republic,3.6,3.59,3.47,3.59,3.74,3.78,3.93,3.85,3.75,3.71,3.77,3.82,3.87,3.87,3.85,3.72,3.69,3.72,3.71,3.78,3.7,3.69,3.64,3.69,3.54,3.04,2.79,2.49,2.38,2.2,2.19,2.18,2.24,2.06,1.79,2.1,2.06,2.03,2.06,2.05,1.97,2.04,2.07,1.89,1.68,1.78,1.74,1.64,1.62,1.51,1.56,1.59
+Denmark,0.777,0.874,0.743,0.661,0.599,0.476,0.29,0.294,0.449,0.422,0.405,0.561,0.643,0.707,0.842,1.2,0.959,1.16,1.11,1.17,1.42,1.44,1.41,1.32,1.08,1.18,1.6,1.33,1.39,1.49,1.24,1.7,1.26,1.06,0.889,0.743,0.783,0.782,1.06,0.813,0.684,1.03,0.851,0.745,0.729,0.69,0.58,0.441,0.574,0.464,0.304,0.367
+Ecuador,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Egypt,0.0131,0.00864,0.013,0.0132,0.0138,0.0125,0.01,0.00865,0.00737,0.0126,0.0147,0.0141,0.0157,0.0147,0.0159,0.0125,0.0157,0.0158,0.0146,0.0144,0.0148,0.0145,0.0149,0.0159,0.0158,0.0132,0.0133,0.0133,0.0157,0.0166,0.0109,0.0147,0.0122,0.0118,0.0105,0.0124,0.0107,0.0113,0.0115,0.0115,0.0111,0.0109,0.00973,0.0086,0.00751,0.00552,0.00513,0.00445,0.0043,0.00429,0.00439,0.0045
+Finland,0.381,0.353,0.339,0.408,0.488,0.493,0.435,0.481,0.532,0.539,0.487,0.654,0.658,0.886,0.851,0.963,0.588,0.65,0.702,0.804,1.02,0.924,1.03,1.03,1,1.05,1.05,0.949,1.08,1.31,1.15,1.37,1.29,1.06,1.02,0.967,1.17,1.26,1.57,1.41,0.902,1.4,1.32,1,1.01,1.26,1.02,0.834,0.919,0.818,0.691,0.745
+France,0.845,0.776,0.76,0.726,0.722,0.682,0.62,0.546,0.535,0.537,0.468,0.547,0.525,0.546,0.591,0.576,0.523,0.532,0.479,0.456,0.44,0.362,0.328,0.318,0.344,0.333,0.353,0.31,0.252,0.247,0.252,0.267,0.233,0.276,0.246,0.238,0.207,0.212,0.224,0.212,0.219,0.201,0.207,0.194,0.171,0.183,0.154,0.174,0.181,0.135,0.13,0.128
+Germany,2.11,1.95,1.87,1.88,1.93,1.9,1.81,1.77,1.77,1.78,1.61,1.7,1.64,1.66,1.76,1.81,1.84,1.8,1.87,1.93,1.92,1.81,1.8,1.77,1.79,1.66,1.45,1.3,1.22,1.18,1.12,1.11,1.07,1.05,1.01,1.05,1.05,1.05,1.07,1.04,0.995,1.04,1.07,0.988,0.886,0.953,0.968,0.993,1.02,0.977,0.96,0.919
+Greece,0.249,0.248,0.236,0.265,0.255,0.292,0.428,0.454,0.53,0.553,0.717,0.836,0.877,0.768,0.416,0.411,0.403,0.406,0.495,0.525,0.606,0.576,0.654,0.731,0.781,0.787,0.751,0.782,0.773,0.793,0.778,0.73,0.779,0.809,0.772,0.811,0.832,0.8,0.791,0.807,0.791,0.743,0.776,0.729,0.736,0.687,0.69,0.715,0.617,0.594,0.5,0.419
+Hungary,1.07,1.02,0.886,0.871,0.88,0.891,0.86,0.834,0.836,0.795,0.754,0.761,0.769,0.764,0.767,0.751,0.755,0.79,0.746,0.729,0.72,0.714,0.717,0.679,0.61,0.6,0.584,0.505,0.469,0.457,0.447,0.459,0.446,0.416,0.406,0.377,0.355,0.356,0.369,0.334,0.301,0.306,0.313,0.306,0.258,0.275,0.274,0.263,0.23,0.226,0.242,0.234
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+Italy,0.167,0.172,0.187,0.18,0.184,0.184,0.177,0.163,0.165,0.178,0.178,0.175,0.172,0.174,0.19,0.223,0.227,0.254,0.237,0.268,0.264,0.26,0.258,0.241,0.252,0.246,0.242,0.214,0.186,0.198,0.214,0.196,0.198,0.206,0.206,0.219,0.232,0.237,0.256,0.284,0.28,0.282,0.275,0.265,0.207,0.229,0.257,0.263,0.227,0.219,0.207,0.183
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+Kazakhstan,,,,,,,,,,,,,,,,,,,,,2.42,2.51,2.57,2.66,2.52,2.34,2.29,2.31,2.11,2.09,1.7,1.54,1.34,1.34,1.26,1.18,1.48,1.5,1.64,1.73,1.73,1.81,1.97,2.11,1.91,2.04,2.18,2.16,2.11,2.34,2.02,1.98
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+Lithuania,,,,,,,,,,,,,,,,,,,,,0.228,0.263,0.257,0.257,0.238,0.216,0.241,0.113,0.101,0.0842,0.0677,0.0626,0.0509,0.0447,0.0384,0.0264,0.0241,0.0392,0.0511,0.0499,0.0553,0.076,0.0765,0.0659,0.0531,0.0663,0.0778,0.0769,0.0897,0.0768,0.0622,0.0659
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+Russia,,,,,,,,,,,,,,,,,,,,,1.39,1.41,1.42,1.39,1.34,1.24,1.13,1.06,0.955,0.835,0.805,0.791,0.731,0.686,0.694,0.722,0.708,0.714,0.721,0.693,0.659,0.677,0.656,0.704,0.644,0.632,0.656,0.686,0.63,0.609,0.641,0.606
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+Sweden,0.288,0.272,0.268,0.232,0.225,0.236,0.212,0.181,0.2,0.22,0.237,0.227,0.179,0.183,0.216,0.205,0.176,0.196,0.246,0.296,0.348,0.37,0.364,0.355,0.333,0.347,0.315,0.295,0.312,0.334,0.326,0.342,0.296,0.287,0.275,0.276,0.31,0.319,0.299,0.328,0.291,0.296,0.292,0.263,0.207,0.265,0.263,0.23,0.231,0.217,0.217,0.229
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+Turkey,0.118,0.129,0.111,0.118,0.123,0.133,0.133,0.14,0.139,0.148,0.151,0.154,0.155,0.154,0.155,0.16,0.16,0.175,0.188,0.207,0.243,0.262,0.271,0.258,0.285,0.297,0.312,0.306,0.279,0.275,0.283,0.313,0.344,0.352,0.322,0.355,0.287,0.296,0.315,0.33,0.326,0.381,0.423,0.42,0.433,0.435,0.462,0.489,0.416,0.469,0.444,0.483
+Turkmenistan,,,,,,,,,,,,,,,,,,,,,0.0993,0.0969,0.0945,0.079,0.0898,0.0999,0.085,0.0354,0,0.00122,0.00119,0.0107,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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data/electricity_generation_per_person.csv ADDED Viewed

	@@ -0,0 +1,66 @@

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data/electricity_use_per_person.csv ADDED Viewed

	@@ -0,0 +1,139 @@

+geo,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014
+Albania,,,,,,,,,,,,532,568,593,591,739,909,1070,1100,1070,1140,1120,1100,1070,1020,796,1420,1160,1010,1020,552,418,454,536,596,664,904,695,735,1410,1450,1350,1580,1470,1800,1720,1220,1210,1620,1840,1940,2210,2120,2530,2310
+Algeria,,,,,,,,,,,,133,142,158,170,195,219,232,277,313,328,361,404,415,439,464,482,453,479,519,528,529,557,545,548,557,568,573,616,650,680,706,728,783,801,887,859,891,944,863,1010,1120,1230,1270,1360
+Angola,,,,,,,,,,,,80.3,88.5,101,123,127,55.6,54,52.4,54.6,56.7,54.7,56.4,59.1,48.8,56.9,55.3,54.1,53.1,51.9,51.8,53.1,52.2,50.7,49.4,48.1,50.1,68.3,72.6,71.5,75.1,82.4,85.8,95.4,87,109,144,133,172,189,206,207,219,280,312
+Argentina,,,,,,,,,,,,871,920,956,986,1000,1020,1070,1080,1210,1230,1190,1200,1250,1290,1280,1320,1410,1450,1320,1300,1340,1410,1490,1570,1640,1720,1840,1960,2020,2080,2110,2000,2170,2280,2390,2360,2440,2750,2710,2850,2900,2970,2940,3050
+Armenia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2720,2690,1960,1200,1050,1050,1220,1510,1310,1310,1300,1270,1240,1320,1440,1520,1640,1770,1670,1660,1730,1810,1890,1930,1970
+Australia,1830,1950,2010,2210,2420,2630,2770,2970,3100,3330,3610,3750,3880,4230,4580,4780,4900,5250,5420,5670,5920,6150,6390,6370,6700,7010,7310,7530,7800,8130,8530,8520,8550,8700,8810,8990,9110,9290,9780,10000,10200,10600,10800,10400,10600,10500,10500,11000,10700,10800,10700,10600,10400,10200,10100
+Austria,1810,1880,2010,2120,2230,2310,2380,2450,2610,2810,3020,3210,3400,3620,3770,3730,4070,4140,4340,4540,4680,4700,4730,4830,5070,5280,5320,5540,5720,5900,6110,6350,6230,6140,6210,6340,6610,6620,6710,6970,7080,7330,7430,7700,7810,7980,8240,8210,8230,7940,8380,8430,8550,8510,8360
+Azerbaijan,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2580,2630,2280,2120,1960,1950,1850,1810,1940,2020,2040,2110,2000,2240,2280,2390,2550,2120,2040,1620,1600,1710,2050,2090,2200
+Bahrain,,,,,,,,,,,,1950,1960,2090,2280,2630,3170,3660,3750,4300,4610,4850,5210,5590,15300,15900,16500,14700,15400,15400,15600,14200,18500,21600,20500,20600,20600,21100,21300,20600,20000,20100,20000,19800,19000,21300,21500,20600,18500,17500,18000,17900,17800,18700,19600
+Bangladesh,,,,,,,,,,,,10.7,10.5,15.2,16.9,17,17.3,18.2,21.4,21,18.7,22.3,25.2,28.7,31.6,32.6,36.9,38.3,41.3,49.2,48.4,49,58.6,65.2,69,75.9,79.5,81.2,86.2,94.3,101,112,119,125,160,171,191,200,201,219,240,258,275,293,310
+Belarus,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,4380,4430,3910,3450,3070,2790,2810,2950,3020,3010,3000,3010,3000,3060,3170,3250,3370,3390,3480,3300,3560,3630,3700,3650,3680
+Belgium,1580,1630,1750,1880,2060,2160,2260,2360,2600,2830,3030,3220,3610,3940,4130,3890,4250,4400,4620,4910,4890,4910,4900,5040,5290,5500,5620,5880,6060,6210,6380,6660,6850,6880,7180,7380,7530,7700,7910,7940,8250,8270,8310,8410,8580,8510,8680,8610,8520,7900,8390,8020,7970,7970,7710
+Benin,,,,,,,,,,,,10.8,11.8,18.6,16.9,18.1,19.4,21.3,46.3,24.9,27.7,31.9,17.6,36.6,32.5,33.4,31.1,30.9,36.2,33.8,35,36.7,38.8,39.1,39.4,41.8,44.5,47.9,44.8,51.9,58.1,61.5,68.3,64.6,70.3,73.8,75.1,79.7,86.4,87.9,95.4,91.5,93.1,96.8,100
+Bolivia,,,,,,,,,,,,165,173,173,181,189,199,216,227,237,253,265,264,253,251,244,234,233,245,258,266,281,291,314,335,354,373,392,409,422,420,421,434,442,452,482,513,545,534,554,604,637,663,705,753
+Bosnia and Herzegovina,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2940,2100,1110,706,891,956,1120,1380,1770,1830,2020,2060,2080,2220,2310,2380,2380,2380,2980,2880,3140,3320,3440,3410,3370
+Botswana,,,,,,,,,,,,,,,,,,,,,,526,561,559,574,597,682,774,663,678,718,798,867,863,901,876,903,968,1030,1020,1100,1170,1220,1310,1430,1420,1460,1500,1520,1720,1540,1480,1710,2060,1750
+Brazil,,,,,,,,,,,,459,498,553,603,649,719,787,857,938,1010,1020,1050,1110,1200,1280,1350,1360,1420,1450,1460,1480,1490,1530,1560,1630,1680,1760,1800,1830,1890,1740,1800,1880,1950,2010,2060,2160,2220,2190,2360,2420,2490,2550,2600
+Brunei,,,,,,,,,,,,1750,1680,1580,1540,1480,1420,1370,1320,1270,1690,2260,2630,3080,3290,3260,3220,4190,4280,4300,4320,4470,4820,5270,5580,6380,6830,7620,7750,7370,7540,7180,7370,8550,8590,8460,8430,8620,8590,8840,8810,8780,9220,9840,10200
+Bulgaria,,,,,,,,,,,,2290,2490,2680,2840,3040,3250,3440,3650,3770,3970,4130,4400,4580,4770,4680,4650,4840,4940,4960,4760,4360,3740,3810,3830,4210,4350,3970,3930,3610,3670,3860,3850,4000,3970,4170,4370,4520,4670,4480,4560,4860,4760,4640,4710
+Cambodia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,13.5,20,24.3,26.6,30.2,32.8,36.5,50.3,51.5,55.7,66.8,80.7,101,115,128,144,165,207,222,271
+Cameroon,,,,,,,,,,,,152,155,153,169,175,166,155,156,155,156,198,221,214,205,224,209,208,211,211,200,194,190,193,169,162,168,178,175,180,178,168,158,170,196,190,250,258,272,270,266,261,252,257,281
+Canada,5630,5610,5790,5970,6470,6910,7360,7630,8030,8530,8960,9300,9900,10300,10800,10400,11000,11800,12200,12400,12800,13200,12900,13400,14300,14800,15300,15700,16300,16400,16100,16100,16100,16200,16300,16500,16600,16600,16400,16600,17000,16800,17000,17200,17200,16900,16500,16700,16400,15500,15300,15600,15300,15700,15500
+Chile,,,,,,,,,,,,777,802,771,813,742,780,805,846,889,915,931,897,915,974,994,1030,1060,1120,1210,1240,1320,1460,1520,1600,1760,1940,2080,2190,2410,2510,2640,2740,2910,3070,3100,3230,3350,3350,3310,3320,3600,3830,3900,3910
+China,,,,,,,,,,,,152,164,176,174,199,204,221,247,267,282,286,299,317,336,363,391,427,462,487,511,549,605,663,727,770,821,853,871,914,993,1080,1190,1380,1590,1780,2040,2330,2450,2610,2940,3300,3470,3770,3930
+Colombia,,,,,,,,,,,,404,389,421,459,442,456,498,552,589,618,615,638,642,696,729,781,758,776,822,842,842,754,846,884,895,888,896,874,811,829,850,859,863,898,896,947,974,974,1050,1080,1120,1150,1290,1290
+"Congo, Dem. Rep.",,,,,,,,,,,,162,159,167,169,167,162,158,148,143,151,136,130,138,141,148,151,146,146,169,131,125,115,103,101,109,105,95.4,93.4,95.2,96.6,95.6,89.8,90.3,88.2,89.5,102,105,101,107,105,108,112,117,109
+"Congo, Rep.",,,,,,,,,,,,54.7,55.8,60.8,61.6,64.1,66.5,68.2,69.7,73.3,80.4,67.6,101,96.1,144,109,170,173,162,164,168,179,172,155,140,146,149,125,107,67,92.7,102,112,112,103,114,123,122,132,141,137,144,209,207,197
+Costa Rica,,,,,,,,,,,,605,651,675,718,730,766,797,849,858,932,964,934,920,991,1010,1080,1150,1150,1080,1080,1130,1420,1350,1280,1290,1260,1370,1330,1450,1520,1500,1570,1660,1690,1740,1840,1900,1900,1860,1900,1900,1960,1950,1960
+Cote d'Ivoire,,,,,,,,,,,,94.4,101,111,114,122,135,144,157,193,177,183,181,172,128,147,147,166,170,156,156,144,149,141,143,172,158,169,184,173,172,180,175,174,173,172,182,188,197,202,216,198,236,234,276
+Croatia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2960,2710,2280,2200,2200,2290,2440,2590,2650,2750,2860,2900,3090,3160,3330,3480,3640,3740,3880,3710,3810,3900,3820,3750,3710
+Cuba,,,,,,,,,,,,506,515,547,572,623,671,722,789,864,841,964,1010,1050,1120,1000,1080,1090,1150,1190,1210,1050,905,840,897,918,973,1040,1040,1080,1140,1160,1180,1190,1170,1150,1220,1300,1310,1320,1290,1320,1360,1420,1430
+Cyprus,,,,,,,,,,,,991,1130,1220,1040,1030,1140,1220,1280,1360,1420,1440,1540,1660,1680,1770,1870,1950,2090,2300,2430,2480,2840,3000,3060,2780,2820,2870,3100,3180,3370,3460,3700,3920,3950,4100,4240,4380,4550,4580,4590,4240,4040,3590,3620
+Czech Republic,,,,,,,,,,,,3420,3600,3730,3860,4030,4170,4290,4500,4390,4590,4640,4680,4810,4960,5140,5260,5450,5500,5580,5600,5260,5080,5030,5190,5470,5730,5660,5600,5490,5700,5890,5890,6070,6230,6360,6530,6520,6490,6140,6350,6300,6300,6280,6260
+Denmark,1090,1190,1360,1500,1620,1820,1980,2130,2340,2620,2890,3060,3350,3430,3250,3410,3790,4000,4310,4540,4600,4590,4680,4740,4980,5350,5620,5790,5860,5850,5940,6220,6240,6310,6540,6420,6650,6610,6500,6510,6480,6490,6530,6600,6620,6660,6820,6670,6530,6220,6330,6170,6040,6040,5860
+Dominican Republic,,,,,,,,,,,,328,308,400,364,402,381,421,409,471,441,442,328,365,443,475,483,476,379,333,389,398,540,508,526,497,633,637,1090,1270,1310,1270,1370,1350,1110,1220,1310,1340,1350,1300,1370,1400,1470,1520,1580
+Ecuador,,,,,,,,,,,,145,149,163,174,196,224,252,292,328,360,385,405,409,413,398,419,453,453,447,481,510,523,518,550,553,613,656,689,637,638,650,692,720,829,800,868,959,1080,1110,1140,1220,1280,1330,1380
+Egypt,,,,,,,,,,,,201,197,194,214,236,269,303,317,341,375,410,450,494,512,488,579,608,622,643,663,679,682,698,711,729,787,826,870,927,962,1010,1060,1130,1170,1240,1310,1400,1450,1510,1550,1660,1660,1660,1660
+El Salvador,,,,,,,,,,,,170,182,204,216,210,240,260,282,290,274,260,256,277,287,297,302,320,330,331,353,372,386,439,475,507,518,558,572,591,617,629,670,696,693,758,820,885,859,849,860,883,918,961,939
+Eritrea,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,39.4,41.3,45.7,47.9,54.2,58.5,50.6,53.3,50.7,55.5,59.8,62.3,60.9,61,57,59,57.2,60.3,61.9,64.1,,,
+Estonia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,5760,5620,4930,4050,4350,4240,4560,4810,4730,4460,4540,4680,4770,5160,5430,5530,5870,6280,6360,5980,6510,6310,6690,6660,6730
+Ethiopia,,,,,,,,,,,,18.9,18.7,17.8,17,16.5,16,15,15.7,17.2,18,18.9,19.6,20.4,21.3,19.8,19.8,20.3,19.2,18.6,22.5,21.8,21.6,23.3,23.6,24,24.4,23.8,23.7,22.9,22.6,26.4,26.1,28.5,30.6,33.4,37.3,39.4,40.9,42.1,48.3,52.6,57.4,64.4,69.7
+Finland,1870,2190,2390,2480,2720,2940,3200,3350,3630,4070,4570,4890,5520,6050,6140,5950,6550,6730,7330,7930,8300,8490,8530,9120,9810,10500,10600,11400,11800,12000,12500,12500,12500,13000,13600,13600,13700,14500,14800,15100,15300,15700,16100,16400,16800,16100,17200,17200,16300,15200,16500,15700,15700,15500,15200
+France,1460,1540,1650,1740,1890,1980,2090,2180,2260,2470,2620,2750,2920,3150,3250,3240,3570,3670,3910,4190,4410,4570,4610,4700,4930,5250,5490,5630,5720,5840,5940,6360,6480,6450,6530,6620,6910,6830,7020,7150,7220,7340,7300,7530,7660,7650,7540,7510,7640,7340,7730,7230,7360,7370,6940
+Gabon,,,,,,,,,,,,186,214,259,298,383,488,647,622,725,721,789,861,919,974,1030,1030,1010,995,832,917,905,884,866,765,771,848,856,918,902,878,897,922,931,909,908,936,959,970,932,948,960,985,1080,1170
+Georgia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3040,2700,2130,1940,1980,1470,1120,1280,1440,1460,1450,1450,1510,1610,1680,1780,1660,1730,1800,1760,1980,2220,2270,2460,2690
+Germany,1590,1680,1790,1920,2060,2190,2300,2360,2580,2820,3830,4060,4340,4650,4800,4740,5150,5290,5570,5790,5800,5830,5820,5970,6240,6450,6530,6670,6780,6840,6640,6560,6450,6290,6240,6330,6400,6430,6480,6510,6640,6760,6900,7010,7110,7140,7210,7230,7190,6820,7260,7280,7270,7220,7040
+Ghana,,,,,,,,,,,,313,347,392,400,377,391,401,331,400,426,418,377,166,93.5,164,259,289,305,309,327,340,355,341,341,355,368,393,275,361,332,338,311,221,220,246,297,244,264,263,281,318,346,380,355
+Greece,242,273,305,342,408,475,625,742,803,918,1020,1200,1360,1550,1560,1660,1800,1900,2100,2180,2250,2260,2270,2420,2560,2670,2720,2860,3100,3210,3220,3250,3400,3460,3600,3710,3830,3990,4180,4320,4590,4720,4910,5090,5200,5300,5430,5700,5810,5630,5330,5390,5530,5030,5060
+Guatemala,,,,,,,,,,,,119,138,145,122,162,193,204,208,215,252,212,185,160,164,173,144,165,163,187,200,206,256,243,266,296,259,241,315,363,330,358,363,451,483,481,533,543,531,538,542,535,533,558,578
+Haiti,,,,,,,,,,,,12.3,17,20,22.8,29.4,26.7,30.3,34.3,35.8,41,47.8,48.2,49.2,49.5,50.6,53.8,52.5,53.9,56.2,58.3,44.6,39.9,28.3,18.5,29.9,33.5,41.7,36.6,38.8,35.4,34.9,30.3,28.5,28.1,37,37.4,25.3,23.6,35.7,24.4,31.1,46,43.7,39
+Honduras,,,,,,,,,,,,127,127,143,148,156,162,181,182,206,211,224,221,231,238,283,279,326,338,332,368,352,328,342,304,354,402,415,445,448,492,500,522,546,545,580,591,643,665,633,627,674,647,654,630
+Hungary,,,,,,1140,1220,1310,1380,1470,1590,1710,1830,1960,2070,2150,2280,2420,2610,2640,2700,2740,2830,2950,3100,3190,3270,3420,3430,3480,3430,3220,3120,3000,3030,3070,3160,3190,3220,3320,3310,3430,3550,3640,3680,3770,3880,3980,3990,3770,3880,3900,3920,3890,3970
+Iceland,2610,2870,2900,2980,3070,2970,2910,2920,2990,3800,6470,7000,7650,9900,9960,9590,10000,10600,11000,11800,12700,12900,14000,14600,15200,14800,15400,15300,16400,16400,16100,15900,16100,16700,17100,17400,17400,19000,21300,24500,26200,27000,27900,27700,28200,28000,31300,36900,50100,51300,51400,52400,53200,54800,53800
+India,,,,,,,,,,,,98.1,101,101,104,115,124,127,136,136,142,152,159,166,184,194,209,221,241,258,273,292,306,322,342,360,361,377,387,393,395,395,412,432,453,469,511,543,563,600,642,699,725,766,806
+Indonesia,,,,,,,,,,,,14.3,15.9,15.8,19.2,21.4,18.3,21.7,31.7,38.7,46.2,52.3,61.4,66.1,71.4,79.7,92,104,120,137,163,178,194,213,240,264,297,331,331,357,390,411,417,428,474,500,515,545,568,592,634,679,732,773,812
+Iran,,,,,,,,,,,,274,316,384,421,458,491,514,512,555,538,557,613,682,717,750,759,808,802,861,943,1000,1070,1130,1170,1200,1290,1340,1380,1460,1530,1630,1730,1870,1990,2060,2200,2290,2400,2480,2630,2650,2750,2800,2990
+Iraq,,,,,,,,,,,,259,260,305,324,365,412,485,579,727,792,734,899,1040,1220,1280,1330,1310,1340,1330,1310,1090,1310,1320,1370,1420,1370,1360,1310,1270,1240,1240,1260,1040,1200,834,973,769,750,837,1200,1270,1110,1400,1310
+Ireland,695,752,838,886,1040,1130,1240,1340,1500,1610,1750,1880,2020,2140,2250,2180,2380,2540,2690,2940,2870,2830,2790,2850,2960,3110,3270,3410,3430,3600,3770,3900,4100,4190,4350,4530,4790,4980,5200,5430,5800,5900,6040,6090,6170,6240,6350,6220,6340,5950,5930,5660,5650,5700,5670
+Israel,,,,,,,,,,,,2290,2500,2500,2520,2620,2720,2830,3010,3050,3020,3070,3170,3310,3360,3490,3410,3760,4030,4230,4180,3980,4570,4620,4930,5130,5340,5490,5820,5970,6320,6400,6500,6600,6530,6570,6710,7000,7130,6610,6950,6930,7180,6710,6600
+Italy,975,1050,1140,1270,1350,1450,1570,1690,1820,1930,2070,2150,2300,2460,2540,2480,2710,2780,2890,3040,3100,3100,3130,3130,3300,3390,3490,3660,3830,4010,4140,4220,4310,4300,4440,4600,4660,4790,4960,5080,5300,5410,5540,5650,5690,5730,5830,5800,5760,5370,5490,5510,5400,5160,5000
+Jamaica,,,,,,,,,,,,815,967,1000,1050,696,736,757,757,685,661,646,769,741,593,580,606,642,613,579,866,712,1440,1520,1690,2050,2100,2160,2240,2260,2270,2280,2340,2410,2380,2390,2370,1920,1160,1220,1210,1200,1040,1020,1060
+Japan,1110,1250,1320,1510,1680,1780,1980,2250,2510,2860,3220,3420,3740,4090,3970,4030,4310,4440,4670,4860,4720,4750,4700,4960,5180,5330,5330,5640,5900,6240,6810,7010,7030,7090,7520,7700,7840,7990,8000,8150,8300,8160,8270,8160,8390,8540,8540,8710,8270,8020,8590,8100,8000,7990,7820
+Jordan,,,,,,,,,,,,131,154,174,189,214,255,223,257,326,366,421,498,624,705,746,778,855,855,863,935,902,1000,1020,1060,1110,1160,1160,1230,1250,1290,1330,1410,1450,1560,1590,1700,1800,1870,1830,1870,1870,1940,1880,1890
+Kazakhstan,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,5910,5640,5350,4540,4340,4040,3640,3170,2950,2840,3170,3510,3560,3770,3860,4010,4260,4490,4690,4450,4730,4890,5180,5350,5600
+Kenya,,,,,,,,,,,,78,82.4,85.2,87.5,90.5,96.5,98.2,101,105,105,109,107,107,108,113,116,125,119,122,125,127,127,129,126,128,130,127,128,118,106,116,115,121,128,130,138,142,141,142,150,151,153,163,167
+Kuwait,,,,,,,,,,,,3010,3530,3700,3890,4160,4380,4760,5230,6100,6050,6390,7120,7270,7720,8160,8530,8620,8910,9350,8210,4960,,,,13100,13900,13900,14500,14400,14000,14500,15100,16300,16600,17000,17700,17100,17100,16500,16700,15800,15800,14900,15200
+Kyrgyz Republic,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2330,2320,2330,1910,1900,2070,1970,1800,1680,1800,1700,1450,1370,1640,1420,1370,1380,1460,1380,1320,1370,1650,1810,1890,1940
+Latvia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3400,3290,2640,2050,1970,2000,1990,2060,2130,2070,2080,2210,2310,2490,2610,2780,2970,3170,3210,3030,3230,3260,3590,3470,3510
+Lebanon,,,,,,,,,,,,526,575,650,701,646,693,742,812,916,974,1050,1140,1240,1290,1310,1410,1560,1350,841,518,1020,1190,1370,1480,1560,2120,2510,3030,3000,2990,2950,3010,2960,2850,2810,2690,2800,2970,3140,3480,3340,2800,3100,2890
+Libya,,,,,,,,,,,,179,191,370,427,540,648,776,886,1050,1120,1090,1060,1030,1010,999,1050,1430,1530,1500,1580,1660,1750,1810,1820,1770,1790,1800,2100,2180,2220,2260,2770,2950,3110,3430,3800,3800,3160,3150,3380,2860,2270,2370,1860
+Lithuania,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,4020,4020,3170,2490,2500,2540,2740,2730,2830,2700,2520,2700,2850,3090,3200,3190,3350,3560,3730,3620,3470,3530,3610,3660,3820
+Luxembourg,4550,4630,5090,7020,8690,9110,9540,9500,9210,10300,10600,11900,11700,11800,13100,10600,11500,10400,10800,11000,10800,11100,11000,11100,11700,12100,12200,12300,13400,13500,13700,14100,12900,12600,13700,14900,14600,15100,15500,15000,15700,15600,16000,16300,16300,15600,16500,16400,15900,14400,16800,15600,14700,14200,13900
+"Macedonia, FYR",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2670,2710,2970,2610,2710,2800,2920,3000,3070,2860,2900,2800,2760,3110,3140,3370,3450,3620,3680,3420,3570,3880,3680,3550,3500
+Malaysia,,,,,,,,,,,,313,347,375,400,430,467,531,561,618,659,689,729,768,816,843,884,924,997,1080,1160,1270,1420,1530,1780,2000,2190,2470,2530,2650,2750,2760,2820,2920,2990,2880,3070,3280,3300,3960,4160,4100,4320,4480,4600
+Malta,,,,,,,,,,,,1010,1070,1210,1010,1110,1250,1360,1480,1600,1660,1750,1830,1860,1920,2110,2250,2490,2690,2850,2820,3600,3730,3720,3740,3920,3790,3830,3920,4200,4310,4290,4500,4870,4800,4910,4900,4870,4840,4430,4770,4870,5000,4920,4920
+Mauritius,,,,,,,,,,,,147,161,180,202,212,249,280,280,310,299,296,294,301,301,314,347,388,436,482,671,729,780,820,857,945,1020,1110,1210,1230,1360,1450,1470,1560,1610,1680,1740,1820,1880,1910,2000,2030,2080,2150,2180
+Mexico,,,,,,,,,,,,501,543,573,615,642,679,721,776,821,867,906,960,980,1020,1060,1080,1120,1160,1210,1170,1270,1290,1280,1370,1380,1410,1490,1600,1640,1750,1780,1800,1950,1880,1950,1970,2000,2000,1940,1960,2150,2190,2080,2090
+Moldova,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3240,3440,2970,2580,2220,2090,1980,1860,1860,1740,1640,1800,1870,2100,1960,2050,2170,2000,2030,1740,1720,1470,1510,1350,1390
+Mongolia,,,,,,,,,,,,,,,,,,,,,,,,,,1470,1560,1560,1600,1600,1490,1340,1220,1100,1080,1090,1090,1060,1070,1040,1050,1070,1100,1140,1200,1250,1300,1330,1430,1380,1490,1500,1590,1900,2020
+Montenegro,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,6310,6450,6560,6290,5010,5420,5740,5420,4570,4610
+Morocco,,,,,,,,,,,,125,139,152,158,163,179,192,206,222,237,248,262,280,283,294,307,311,340,335,358,370,401,401,420,430,433,450,479,452,489,524,535,580,611,633,687,716,732,744,774,824,874,879,901
+Mozambique,,,,,,,,,,,,50.8,49.9,56.9,67.3,55.1,60.8,56.4,59.7,36.3,36.5,36,47.6,37.2,29,31,36.4,41.5,33.9,38.9,41.4,54.7,53.1,49.7,43.5,45.4,45.1,53.5,48.1,67.9,123,272,261,367,440,442,449,449,432,432,440,441,445,436,463
+Myanmar,,,,,,,,,,,,20.5,21.9,23.5,23.2,26,28.2,30.6,32,33.7,34.8,31.2,33,33.4,36,42.9,42.8,43.1,38.2,40.9,44.9,41.6,45,51.5,54.8,58.1,58.5,65.4,65.8,69.1,76.3,69.3,73.9,80.8,81.3,75.6,89.2,90.3,95,100,125,156,157,187,217
+Namibia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1050,1010,1070,946,938,1010,956,1040,1100,994,1030,1060,1110,1380,1450,1540,1550,1590,1540,1550,1570,1610,1630,1580
+Nepal,,,,,,,,,,,,6.04,7.6,5.8,7.21,6.68,9.03,9.91,10.6,11.7,12.5,14.2,17.6,18.7,20.2,22.4,25.9,28.2,30.4,33,35.5,37.5,37.3,38.8,41.6,44.2,46.6,46.9,49.6,55.4,59.3,65,68,70.9,74.8,77.4,84.2,88.2,84.1,97.5,103,115,118,131,139
+Netherlands,1350,1420,1530,1650,1780,1910,2090,2240,2490,2710,2950,3150,3410,3610,3740,3770,4010,4080,4250,4400,4360,4290,4240,4300,4410,4520,4570,4720,4920,5050,5220,5330,5440,5490,5640,5720,5910,6070,6260,6350,6510,6600,6640,6700,6880,6910,7030,7160,7170,6860,7010,7060,6880,6830,6710
+New Zealand,2460,2620,2750,3080,3250,3510,3680,3710,3880,4090,4270,4690,5310,5530,5460,5800,6090,6150,6150,6180,6340,6500,6870,7300,7510,7560,7880,7900,8130,8470,8970,8840,8640,8910,8930,9110,9070,9090,9130,9140,9380,9420,9530,9410,9670,9670,9700,9640,9560,9400,9600,9460,9360,9090,9030
+Nicaragua,,,,,,,,,,,,226,245,222,262,271,306,337,326,250,260,268,277,293,296,288,284,297,293,323,308,301,304,294,281,294,314,353,344,332,348,347,356,371,397,417,430,464,478,484,514,537,580,598,580
+Niger,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,32.7,30.8,30.4,29.8,33.5,36.7,34.9,39.1,39.3,42.7,44.3,47.5,49.5,48.5,51.4
+Nigeria,,,,,,,,,,,,28.6,32.7,35.3,32.9,45.8,51.6,59.2,60.7,59.8,68,50.9,81.8,81.7,62,80.4,90.8,89.2,87.1,97,87,89.5,90,101,95.5,91.4,85.9,82,76.9,75.7,74.4,75.5,105,102,124,129,112,139,127,121,136,150,157,143,144
+North Korea,,,,,,,,,,,,909,936,963,991,1020,1030,1050,1070,1080,1100,1110,1120,1130,1150,1200,1190,1210,1280,1320,1240,1160,1020,902,926,906,826,737,638,693,712,735,713,751,780,807,785,749,803,727,742,655,652,618,600
+Norway,7680,8400,9390,9660,10600,11400,11700,12300,13500,13200,13500,14100,14500,15500,16300,16300,16900,16500,17300,18900,18700,19400,19400,20500,21900,22600,22200,22800,23000,22900,23400,23800,23800,24000,24200,24500,24000,24300,25400,25100,25000,25600,24600,23200,24200,25100,24100,24900,24900,23900,24900,23500,24100,23800,23000
+Oman,,,,,,,,,,,,14.7,29.6,50.8,95,153,252,364,399,484,624,755,899,1040,1240,1470,1790,1840,1980,1990,2190,2150,2250,2450,2500,2580,2620,2780,3060,3080,3200,3440,3520,3550,3830,3920,4210,4380,4780,5240,5520,5880,6240,6300,6550
+Pakistan,,,,,,,,,,,,93.6,91,101,107,111,108,110,122,140,136,148,159,171,184,199,214,228,255,264,277,297,334,335,345,358,359,363,344,356,372,378,385,410,429,463,487,481,443,459,465,455,450,482,471
+Panama,,,,,,,,,,,,525,571,630,617,635,676,715,696,796,773,788,837,904,858,893,918,963,870,831,833,878,910,959,1010,1060,1080,1170,1180,1220,1270,1290,1320,1360,1420,1460,1480,1570,1630,1640,1740,1820,1950,2020,2060
+Paraguay,,,,,,,,,,,,81.6,89,105,113,116,130,157,188,215,242,265,262,267,293,294,336,385,432,448,505,526,560,628,703,786,797,834,841,860,887,874,885,840,828,864,921,984,1030,1090,1180,1280,1370,1470,1560
+Peru,,,,,,,,,,,,394,413,417,433,442,450,478,471,481,503,529,554,518,554,547,570,594,557,554,546,579,476,522,533,546,589,607,642,655,680,706,741,765,803,837,888,968,1040,1040,1090,1240,1210,1270,1310
+Philippines,,,,,,,,,,,,236,260,322,309,314,329,328,329,345,374,337,338,362,341,350,311,319,343,361,361,354,335,335,377,399,428,462,478,467,499,519,522,556,575,577,568,582,586,590,640,645,666,686,699
+Poland,905,988,1060,1090,1170,1250,1360,1480,1590,1700,1810,1960,2110,2260,2410,2590,2740,2870,2990,3010,3080,2880,2900,3040,3160,3260,3380,3520,3570,3540,3270,3090,2960,2980,2990,3060,3160,3210,3210,3170,3260,3260,3210,3320,3420,3440,3580,3660,3730,3590,3800,3880,3900,3940,3970
+Portugal,320,350,379,410,460,487,543,572,615,681,764,835,912,995,1080,1080,1140,1250,1340,1470,1560,1570,1640,1740,1770,1870,1970,2060,2200,2400,2540,2680,2820,2800,2870,3080,3200,3350,3550,3800,3990,4120,4270,4380,4530,4680,4830,4890,4850,4840,4960,4850,4740,4690,4660
+Qatar,,,,,,,,,,,,2640,3030,2950,2990,3800,4140,4980,6310,8700,9710,9930,10000,9520,9560,10100,10300,9830,9620,9510,9590,8990,9830,10400,10800,10700,11800,12100,13800,14000,14400,15000,15800,16200,16200,15500,15700,15200,14500,14200,14800,14800,15500,14400,15300
+Romania,,,,,,,,,,,,1630,1790,1910,2020,2210,2420,2550,2660,2690,2870,2950,2920,2970,3080,3130,3320,3280,3390,3410,2920,2520,2320,2270,2230,2330,2430,2250,2110,1940,1990,2070,2080,2240,2300,2370,2450,2530,2610,2390,2550,2640,2600,2490,2580
+Russia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,6670,6540,6110,5720,5190,5100,5020,4940,4850,5000,5200,5270,5300,5480,5630,5770,6100,6290,6400,6100,6410,6490,6620,6540,6600
+Saudi Arabia,,,,,,,,,,,,324,358,415,502,534,726,836,1110,1610,1960,2240,2640,2720,3040,3050,3380,3640,3740,3840,3990,4100,4370,4720,4810,4900,4940,5100,5440,5590,5640,5920,6020,6470,6330,6590,6820,6920,7190,7470,7970,8020,8520,8820,9440
+Senegal,,,,,,,,,,,,73.8,74.7,80.2,79.8,83.1,86.5,91.7,97.3,102,103,106,95.8,105,110,104,101,103,104,100,103,102,109,104,109,109,109,117,121,117,102,123,146,126,138,158,157,181,158,189,199,200,211,210,223
+Serbia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,4630,4410,4270,3480,3410,3790,4130,4290,4300,3980,4200,4430,4480,4330,4260,3920,4040,4160,4290,4220,4360,4490,4390,4440,4270
+Singapore,,,,,,,,,,,,1150,1370,1600,1630,1730,1880,2070,2370,2530,2720,2780,2810,3050,3260,3440,3690,4090,4400,4640,4980,5100,5240,5500,5840,6070,6310,6830,6970,7190,7580,7520,7760,8110,8310,8680,8720,8710,8400,8110,8680,8650,8670,8680,8840
+Slovak Republic,,,,,,,,,,,,2700,2830,3030,3140,3110,3260,3410,3470,3810,4360,4410,4440,4520,4620,4840,4940,5090,5150,5270,5540,5120,4700,4570,4580,4930,5150,5070,4680,5030,4960,5030,5050,5020,5100,4930,5150,5270,5290,4950,5200,5350,5140,5200,5140
+Slovenia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,5330,5090,4940,4950,5240,5310,5370,5430,5570,5680,5780,6010,6380,6580,6830,6920,7120,7140,6920,6100,6510,6750,6720,6780,6730
+South Africa,,,,,,,,,,,,2160,2300,2410,2530,2640,2770,2840,2980,3190,3380,3530,3610,3650,3900,3990,4080,4060,4150,4180,4150,4050,3930,3960,4000,4090,4630,4740,4540,4400,4500,4230,4440,4470,4500,4550,4640,4780,4610,4390,4510,4540,4350,4280,4200
+South Korea,,,,,,,,,,,,296,344,397,459,502,578,659,780,881,914,972,1030,1140,1250,1340,1480,1670,1920,2100,2370,2590,2830,3090,3500,3880,4280,4650,4440,4880,5910,6310,6670,6980,7390,7800,8040,8460,8770,8880,9720,10100,10300,10400,10500
+South Sudan,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,38.7,39.8,39.9
+Spain,495,550,613,664,745,823,926,1030,1150,1290,1420,1530,1700,1870,2020,2050,2260,2290,2400,2530,2640,2670,2660,2790,2900,2980,3000,3090,3220,3440,3540,3610,3690,3640,3760,3920,4010,4320,4480,4820,5170,5420,5580,5680,5890,6110,6110,6050,6030,5650,5710,5600,5570,5410,5360
+Sri Lanka,,,,,,,,,,,,57.7,64.2,66.5,67,71,72.6,74.5,81.1,89.1,94.8,101,110,115,118,128,137,137,141,138,151,158,166,183,200,216,204,230,249,263,295,291,303,326,355,401,404,421,427,426,461,504,524,526,531
+Sudan,,,,,,,,,,,,26.1,27.4,32.3,37.2,38.4,39,40,41.6,40.8,36.7,34,35,32.9,43.9,46.8,51.7,52.2,45.9,42.9,49.7,47.6,47.2,44.9,46,45.1,45.5,42.5,41.2,60.7,62.4,52.2,60.9,64.2,64.5,75.9,84.3,90.5,98.4,113,131,142,157,159,190
+Suriname,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2260,2350,2540,2480,2590,2770,2770,2780,3040,3040,3000,3340,3340,3660,3630
+Sweden,4000,4360,4610,4730,5190,5520,5630,6020,6510,7020,7320,7670,8130,8750,8790,9050,9750,9830,10100,10700,10700,11100,11400,12600,13700,15000,14900,15700,15900,15700,15800,15900,15500,15500,15300,15500,15400,15400,15500,15500,15700,16000,15700,15400,15400,15400,15300,15300,14900,14100,14900,14000,14300,13900,13500
+Switzerland,3080,3230,3280,3350,3450,3590,3650,3750,3850,4020,4310,4620,4780,5010,5030,4880,5080,5320,5520,5780,5990,6120,6190,6330,6600,6850,6990,7160,7200,7370,7450,7540,7430,7240,7160,7280,7390,7340,7480,7650,7850,7990,8030,8200,8210,8310,8360,8160,8310,8020,8170,7930,7890,7810,7520
+Syria,,,,,,,,,,,,176,202,182,211,236,230,224,289,316,357,414,521,600,590,618,606,591,628,677,689,701,702,687,751,832,893,914,958,1010,1060,1140,1230,1290,1400,1500,1550,1560,1580,1540,1850,1690,1370,1060,950
+Tajikistan,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3360,3200,2990,2570,2520,2410,2330,2050,2090,2190,2160,2140,2130,2130,2140,2130,2110,2050,1920,1880,1860,1780,1730,1670,1480
+Tanzania,,,,,,,,,,,,30.2,32,33.6,33.8,34.2,34.9,34.9,34.2,36.7,36.6,37.6,35.5,33.7,34.3,36,40.4,40.8,44.4,46.7,51.2,54.3,52.9,48.3,49.2,57.1,60.6,55,59.8,55.4,57.9,61.6,66.8,66.7,78,77.7,63.6,79.4,83.5,69.9,93,83.9,93.8,96,99.2
+Thailand,,,,,,,,,,,,120,140,161,166,184,207,234,262,279,291,299,320,349,381,406,435,483,538,615,709,792,893,1010,1110,1250,1380,1410,1360,1360,1450,1500,1620,1710,1830,1910,2000,2080,2100,2100,2310,2280,2440,2510,2540
+Togo,,,,,,,,,,,,64.1,61.4,55.6,71.7,74.3,69.8,106,120,76.4,62.8,67.2,74.1,67.1,76.4,77.5,76.7,80.9,81,86,90.6,84.5,93.6,69.4,77.3,99.7,103,105,105,112,94.4,98,95.2,102,106,108,107,101,104,123,123,133,143,143,153
+Trinidad and Tobago,,,,,,,,,,,,1040,1150,1120,1160,1130,1260,1400,1480,1730,1880,2070,2410,2550,2600,2580,2780,2910,2620,2520,2680,2650,2850,2810,2890,3100,3250,3640,3760,3810,3990,4100,4080,4770,4700,5140,5310,5670,5710,5710,6190,6390,6630,6880,7130
+Tunisia,,,,,,,,,,,,155,175,192,206,215,239,273,303,355,403,423,410,449,462,507,530,553,585,604,632,644,678,700,752,762,772,811,853,933,977,1040,1070,994,1040,1080,1110,1150,1190,1270,1360,1320,1400,1420,1440
+Turkey,92.3,96.9,112,121,132,144,157,170,185,206,222,246,276,297,312,359,421,462,480,489,496,519,543,555,614,660,699,771,809,875,930,965,1040,1120,1150,1230,1330,1440,1520,1560,1650,1610,1670,1770,1890,2010,2180,2350,2420,2310,2490,2700,2770,2760,2850
+Turkmenistan,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2280,2200,2000,2060,1670,1560,1440,1170,1550,1410,1690,1780,1780,1750,1910,2050,2120,2250,2320,2350,2380,2410,2430,2540,2680
+Ukraine,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,4790,4640,4310,3950,3480,3350,3060,2960,2840,2790,2780,2790,2840,3000,3150,3250,3400,3530,3530,3230,3550,3660,3640,3600,3420
+United Arab Emirates,,,,,,,,,,,,678,1310,1690,1860,2300,2790,3670,4110,4880,5630,5990,6970,7530,7760,8020,8090,8140,8330,8090,8360,8020,8150,8960,9280,9270,9390,9820,11100,12100,12200,12000,12400,12300,11900,12300,11800,11700,11600,11000,11000,10600,10700,11000,11300
+United Kingdom,2410,2550,2780,3000,3130,3330,3430,3510,3760,4010,4170,4250,4370,4670,4530,4490,4590,4670,4730,4920,4680,4570,4480,4550,4600,4830,4950,5080,5230,5300,5360,5450,5450,5490,5380,5580,5820,5830,5910,6010,6110,6140,6140,6170,6140,6270,6200,6100,6020,5640,5700,5470,5450,5410,5130
+United States,4050,4180,4430,4690,4970,5230,5590,5890,6390,6900,7240,7520,8080,8570,8450,8520,8970,9340,9560,9700,9860,9980,9540,9740,10300,10400,10400,10900,11300,11500,11700,12100,12000,12300,12500,12700,12900,12900,13200,13300,13700,13000,13300,13300,13400,13700,13600,13700,13700,12900,13400,13200,13000,13000,13000
+Uruguay,,,,,,,,,,,,732,696,705,703,762,806,847,919,934,1000,1040,1040,1040,1040,1070,1110,1160,1250,1210,1240,1340,1370,1450,1490,1580,1640,1730,1810,1910,2030,2000,2000,1880,1930,2000,2220,2410,2590,2660,2800,2810,2930,2990,3070
+Uzbekistan,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2380,2320,2130,2020,1920,1840,1830,1820,1780,1750,1780,1770,1780,1760,1770,1720,1760,1660,1650,1640,1650,1630,1610,1640,1650
+Venezuela,,,,,,,,,,,,1030,1090,1140,1200,1210,1280,1380,1530,1820,2000,2230,2050,2210,2330,2310,2310,2420,2580,2470,2450,2520,2660,2670,2630,2620,2640,2670,2640,2570,2640,2700,2730,2630,2760,2850,2960,2970,3070,3030,3130,3190,3250,3240,2660
+Vietnam,,,,,,,,,,,,40.3,37.7,39.3,33.9,38.9,46.3,53.2,54,52.8,53.9,54.2,56.6,55.9,64.8,67.8,70.8,77.5,84.4,91.4,94.9,98.4,101,112,129,153,179,202,232,252,285,325,376,431,481,567,642,724,798,901,1020,1100,1200,1270,1410
+Yemen,,,,,,,,,,,,33.2,33.6,31.6,36,37.6,42.8,43.6,47.8,50.4,61.9,64.4,74.7,76.1,81.9,83.6,95,97.9,107,105,122,130,131,133,119,125,120,133,130,129,139,144,151,162,169,179,190,207,225,222,250,190,190,247,216
+Zambia,,,,,,,,,,,,1020,1070,1120,1180,1150,1170,1100,1060,1040,1030,1070,1050,1030,988,944,897,882,934,781,763,737,736,740,729,707,682,634,578,580,591,611,635,654,675,681,693,653,579,558,580,621,721,736,707
+Zimbabwe,,,,,,,,,,,,665,845,866,901,976,1040,950,886,925,976,977,966,907,852,959,893,901,880,906,887,876,803,750,788,830,869,897,866,908,873,841,840,834,805,832,808,699,573,531,547,570,543,558,537

data/forest_coverage_percent.csv ADDED Viewed

	@@ -0,0 +1,193 @@

+geo,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015
+Afghanistan,2.07,2.07,2.07,2.07,2.07,2.07,2.07,2.07,2.07,2.07,2.07,2.07,2.07,2.07,2.07,2.07,2.07,2.07,2.07,2.07,2.07,2.07,2.07,2.07,2.07,2.07
+Albania,28.8,28.7,28.6,28.6,28.5,28.4,28.4,28.3,28.2,28.1,28.1,28.2,28.3,28.4,28.5,28.6,28.5,28.5,28.4,28.4,28.3,28.3,28.3,28.2,28.2,28.2
+Algeria,0.7,0.7,0.69,0.69,0.69,0.68,0.68,0.67,0.67,0.67,0.66,0.66,0.66,0.65,0.65,0.64,0.68,0.71,0.74,0.77,0.81,0.81,0.81,0.81,0.82,0.82
+Andorra,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34
+Angola,48.9,48.8,48.7,48.6,48.5,48.4,48.3,48.2,48.1,48,47.9,47.8,47.7,47.6,47.5,47.4,47.3,47.2,47.1,47,46.9,46.8,46.7,46.6,46.5,46.4
+Antigua and Barbuda,23.4,23.3,23.3,23.2,23.1,23.1,23,22.9,22.9,22.8,22.7,22.6,22.6,22.4,22.4,22.3,22.3,22.3,22.3,22.3,22.3,22.3,22.3,22.3,22.3,22.3
+Argentina,12.7,12.6,12.5,12.4,12.3,12.2,12.1,12,11.9,11.8,11.6,11.5,11.4,11.3,11.2,11,10.9,10.8,10.7,10.6,10.4,10.3,10.2,10.1,10,9.91
+Armenia,,,11.8,11.8,11.7,11.7,11.7,11.7,11.7,11.7,11.7,11.7,11.7,11.7,11.7,11.7,11.7,11.7,11.6,11.6,11.6,11.6,11.6,11.7,11.7,11.7
+Australia,16.7,16.7,16.7,16.7,16.8,16.8,16.8,16.8,16.8,16.8,16.8,16.7,16.7,16.7,16.6,16.6,16.5,16.4,16.3,16.1,16,16.1,16.1,16.2,16.2,16.2
+Austria,45.7,45.8,45.9,46,46,46.1,46.2,46.3,46.3,46.4,46.5,46.5,46.5,46.6,46.6,46.6,46.7,46.7,46.7,46.7,46.8,46.8,46.8,46.8,46.9,46.9
+Azerbaijan,,,10.3,10.3,10.3,10.4,10.4,10.4,10.4,10.5,10.6,10.6,10.6,10.6,10.6,10.6,10.9,11.3,11.6,11.9,12.2,12.5,12.8,13.2,13.5,13.8
+Bahamas,51.5,51.5,51.5,51.5,51.5,51.5,51.5,51.5,51.5,51.5,51.5,51.5,51.5,51.5,51.5,51.5,51.5,51.5,51.5,51.5,51.5,51.5,51.5,51.5,51.5,51.5
+Bahrain,0.32,0.33,0.35,0.37,0.39,0.41,0.44,0.45,0.48,0.51,0.52,0.55,0.56,0.58,0.59,0.61,0.62,0.64,0.64,0.67,0.7,0.7,0.73,0.74,0.77,0.78
+Bangladesh,11.5,11.5,11.4,11.4,11.4,11.4,11.4,11.3,11.3,11.3,11.3,11.3,11.2,11.2,11.2,11.2,11.2,11.1,11.1,11.1,11.1,11.1,11,11,11,11
+Barbados,14.7,14.7,14.7,14.7,14.7,14.7,14.7,14.7,14.7,14.7,14.7,14.7,14.7,14.7,14.7,14.7,14.7,14.7,14.7,14.7,14.7,14.7,14.7,14.7,14.7,14.7
+Belarus,,,38.8,39.1,39.3,39.6,39.8,40.1,40.3,40.5,40.8,41,41.1,41.3,41.4,41.6,41.7,41.8,41.9,42,42.1,42.2,42.3,42.4,42.5,42.5
+Belgium,,,,,,,,,,,22,22.1,22.1,22.2,22.2,22.3,22.3,22.4,22.4,22.4,22.5,22.5,22.5,22.5,22.6,22.6
+Belize,70.8,70.2,69.5,68.8,68.1,67.4,66.7,66,65.3,64.7,64,63.6,63.2,62.9,62.5,62.1,61.9,61.7,61.4,61.2,61,60.8,60.6,60.3,60.1,59.9
+Benin,51.1,50.5,49.9,49.2,48.6,48,47.4,46.8,46.1,45.5,44.9,44.4,44,43.5,43.1,42.7,42.2,41.8,41.3,40.9,40.5,40,39.6,39.1,38.7,38.2
+Bhutan,53.6,53.9,54.1,54.3,64,64.2,64.5,64.7,65,65.2,65.5,65.7,66,66.2,69.4,69.7,69.9,70.2,70.5,70.7,71,71.2,71.5,71.8,72,72.3
+Bolivia,58,57.7,57.5,57.2,57,56.7,56.5,56.2,56,55.7,55.5,55.2,55,54.7,54.5,54.2,53.8,53.3,52.8,52.4,51.9,51.6,51.4,51.1,50.8,50.5
+Bosnia and Herzegovina,,,43.1,43,43,42.9,42.9,42.8,42.8,42.7,42.7,42.7,42.7,42.7,42.7,42.7,42.7,42.7,42.7,42.7,42.7,42.7,42.7,42.7,42.7,42.7
+Botswana,24.2,24,23.8,23.6,23.4,23.2,22.9,22.7,22.5,22.3,22.1,21.9,21.7,21.5,21.3,21.1,20.9,20.7,20.4,20.2,20,19.9,19.7,19.5,19.3,19.1
+Brazil,65.4,65.1,64.8,64.5,64.2,63.9,63.6,63.3,63,62.7,62.4,62,61.7,61.3,61,60.6,60.4,60.2,60,59.8,59.6,59.5,59.4,59.3,59.2,59
+Brunei,78.4,78.1,77.8,77.5,77.2,76.8,76.5,76.2,75.9,75.6,75.3,75,74.7,74.4,74.1,73.8,73.5,73.1,72.8,72.5,72.1,72.1,72.1,72.1,72.1,72.1
+Bulgaria,30.1,30.1,30.2,30.2,30.3,30.3,30.3,30.4,30.4,30.5,30.5,31,32,32.5,33.1,33.6,33.8,33.9,34.1,34.3,34.4,34.6,34.7,34.9,35.1,35.2
+Burkina Faso,25,24.8,24.6,24.4,24.1,23.9,23.7,23.5,23.3,23.1,22.8,22.6,22.4,22.2,22,21.7,21.5,21.3,21.1,20.9,20.6,20.4,20.2,20,19.8,19.6
+Burundi,11.3,10.9,10.6,10.2,9.84,9.48,9.13,8.77,8.42,8.06,7.71,7.58,7.45,7.31,7.18,7.05,7.61,8.17,8.73,9.29,9.85,10,10.2,10.4,10.6,10.8
+Cambodia,73.3,72.5,71.7,71,70.2,69.4,68.6,67.8,67,66.2,65.4,64.5,63.6,62.6,61.7,60.8,60.1,59.4,58.6,57.9,57.2,56.5,55.7,55,54.3,53.6
+Cameroon,51.4,51,50.5,50,49.6,49.1,48.6,48.2,47.7,47.3,46.8,46.3,45.9,45.4,44.9,44.5,44,43.5,43.1,42.6,42.1,41.7,41.2,40.7,40.3,39.8
+Canada,38.3,38.3,38.3,38.3,38.3,38.3,38.3,38.3,38.3,38.3,38.3,38.2,38.2,38.2,38.2,38.2,38.2,38.2,38.2,38.2,38.2,38.2,38.2,38.2,38.2,38.2
+Cape Verde,14.3,14.9,15.5,16.1,16.8,17.4,17.9,18.6,19.2,19.8,20.4,20.4,20.5,20.6,20.7,20.7,20.8,20.9,21,21,21.1,21.4,21.6,21.8,22.1,22.3
+Central African Republic,36.2,36.2,36.2,36.1,36.1,36.1,36.1,36,36,36,36,35.9,35.9,35.9,35.9,35.8,35.8,35.8,35.8,35.7,35.7,35.7,35.7,35.6,35.6,35.6
+Chad,5.32,5.29,5.26,5.23,5.2,5.17,5.14,5.11,5.08,5.05,5.02,4.99,4.97,4.94,4.91,4.88,4.78,4.68,4.58,4.47,4.37,4.27,4.17,4.07,3.97,3.87
+Chile,20.5,20.6,20.7,20.8,20.8,20.9,21,21.1,21.1,21.2,21.3,21.4,21.4,21.5,21.5,21.6,21.6,21.7,21.7,21.8,21.8,22.2,22.6,23,23.4,23.9
+China,16.7,16.9,17.1,17.3,17.5,17.7,17.9,18.1,18.4,18.6,18.8,19.1,19.5,19.8,20.1,20.5,20.6,20.8,21,21.1,21.3,21.4,21.6,21.8,21.9,22.1
+Colombia,58.1,57.8,57.6,57.4,57.1,56.9,56.6,56.4,56.2,55.9,55.7,55.4,55.1,54.8,54.5,54.3,54,53.7,53.4,53.1,52.9,52.8,52.8,52.8,52.8,52.7
+Comoros,26.3,26.1,25.9,25.7,25.5,25.3,25,24.8,24.6,24.4,24.2,23.9,23.5,23.2,22.9,22.6,22.3,21.9,21.6,21.3,21,20.7,20.5,20.3,20.1,19.9
+"Congo, Dem. Rep.",70.7,70.6,70.5,70.3,70.2,70,69.9,69.8,69.6,69.5,69.4,69.2,69.1,69,68.8,68.7,68.5,68.4,68.3,68.1,68,67.8,67.7,67.6,67.4,67.3
+"Congo, Rep.",66.5,66.5,66.5,66.4,66.3,66.3,66.3,66.2,66.2,66.1,66,66,66,65.9,65.8,65.8,65.8,65.7,65.7,65.7,65.6,65.6,65.5,65.5,65.4,65.4
+Costa Rica,50.2,49.9,49.5,49.1,48.7,48.4,48,47.6,47.3,46.9,46.5,47,47.4,47.9,48.3,48.8,49.2,49.7,50.1,50.6,51,51.6,52.2,52.8,53.4,54
+Cote d'Ivoire,32.1,32.2,32.2,32.2,32.3,32.3,32.3,32.4,32.4,32.4,32.5,32.5,32.6,32.6,32.7,32.7,32.7,32.7,32.7,32.7,32.7,32.7,32.7,32.7,32.7,32.7
+Croatia,,,33.2,33.3,33.3,33.4,33.4,33.5,33.6,33.6,33.7,33.8,33.8,33.9,33.9,34,34.1,34.1,34.2,34.3,34.3,34.3,34.3,34.3,34.3,34.4
+Cuba,19.2,19.5,19.9,20.2,20.6,20.9,21.3,21.6,22,22.3,22.7,23.2,23.9,24.4,24.9,25.3,25.8,26.2,26.7,27.1,27.6,27.9,28.6,29.7,30.3,30.8
+Cyprus,17.4,17.6,17.7,17.8,17.9,18,18.1,18.2,18.4,18.5,18.6,18.6,18.6,18.6,18.7,18.7,18.7,18.7,18.7,18.7,18.7,18.7,18.7,18.7,18.7,18.7
+Czech Republic,,,,34,34.1,34.1,34.1,34.1,34.1,34.1,34.1,34.1,34.2,34.2,34.2,34.3,34.3,34.3,34.3,34.4,34.4,34.4,34.5,34.5,34.5,34.5
+Denmark,12.8,12.9,13,13.1,13.2,13.3,13.4,13.5,13.6,13.7,13.8,13.7,13.5,13.4,13.3,13.1,13.3,13.4,13.6,13.7,13.8,14,14.2,14.3,14.5,14.6
+Djibouti,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24
+Dominica,66.7,66.3,66,65.6,65.2,64.9,64.5,64.2,63.8,63.5,63.1,62.8,62.4,62,61.7,61.3,61,60.6,60.3,59.9,59.5,59.2,58.8,58.5,58.1,57.8
+Dominican Republic,22.9,23.7,24.4,25.2,26,26.8,27.6,28.4,29.2,30,30.8,31.4,32.1,32.8,33.5,34.2,34.9,35.6,36.3,36.9,37.6,38.3,39,39.7,40.4,41
+Ecuador,52.9,52.5,52.2,51.9,51.5,51.2,50.9,50.6,56,55.6,55.3,55,54.6,54.3,54,53.7,53.4,53.1,52.7,52.4,52.1,51.8,51.5,51.2,50.8,50.5
+Egypt,0.04,0.05,0.05,0.05,0.05,0.05,0.05,0.05,0.06,0.06,0.06,0.06,0.06,0.06,0.07,0.07,0.07,0.07,0.07,0.07,0.07,0.07,0.07,0.07,0.07,0.07
+El Salvador,18.2,18,17.8,17.5,17.3,17.1,16.9,16.7,16.5,16.2,16,15.8,15.6,15.4,15.1,14.9,14.7,14.5,14.3,14.1,13.8,13.6,13.4,13.2,13,12.8
+Equatorial Guinea,66.3,65.9,65.5,65.1,64.6,64.2,63.8,63.4,63,62.6,62.1,61.7,61.3,60.9,60.5,60.1,59.6,59.2,58.8,58.4,58,57.5,57.1,56.7,56.3,55.9
+Eritrea,,,,15.9,15.9,15.8,15.8,15.7,15.7,15.7,15.6,15.6,15.5,15.5,15.4,15.4,15.3,15.3,15.3,15.2,15.2,15.1,15.1,15,15,14.9
+Estonia,,,52.2,52.3,52.4,52.5,52.6,52.6,52.7,52.8,52.9,53,53,53,53.1,53.1,53,53,52.9,52.8,52.7,52.7,52.7,52.7,52.7,52.6
+Ethiopia,,,,14.7,14.6,14.4,14.3,14.1,14,13.8,13.7,13.6,13.4,13.3,13.1,13,12.9,12.7,12.6,12.4,12.3,12.3,12.4,12.4,12.5,12.5
+Fiji,52.2,52.3,52.5,52.6,52.8,52.9,53.1,53.2,53.4,53.5,53.7,53.9,54,54.2,54.4,54.6,54.5,54.5,54.4,54.4,54.4,54.6,54.9,55.1,55.4,55.7
+Finland,71.8,72,72.2,72.4,72.6,72.8,72.9,73.1,73.3,73.5,73.7,73.5,73.3,73.1,72.9,72.7,72.9,72.9,73,73.1,73.1,73.1,73.1,73.1,73.1,73.1
+France,26.4,26.5,26.7,26.8,27,27.1,27.3,27.4,27.6,27.8,27.9,28.1,28.3,28.5,28.8,29,29.2,29.4,29.6,29.8,30,30.2,30.4,30.6,30.8,31
+Gabon,85.4,85.4,85.4,85.4,85.4,85.4,85.4,85.4,85.4,85.4,85.4,85.4,85.4,85.4,85.4,85.4,85.4,85.4,85.4,85.4,85.4,86.2,86.9,87.7,88.5,89.3
+Gambia,43.7,43.9,44,44.2,44.4,44.6,44.8,45,45.2,45.4,45.5,45.8,46,46.1,46.3,46.5,46.7,46.9,47.1,47.3,47.4,47.6,47.8,47.9,48.1,48.2
+Georgia,,,39.6,39.6,39.6,39.7,39.7,39.7,39.7,39.7,39.7,39.8,39.8,39.8,39.9,39.9,40,40.2,40.3,40.5,40.6,40.6,40.6,40.6,40.6,40.6
+Germany,32.4,32.4,32.4,32.4,32.4,32.5,32.5,32.5,32.5,32.5,32.5,32.6,32.6,32.6,32.6,32.6,32.7,32.7,32.7,32.7,32.7,32.7,32.8,32.7,32.7,32.7
+Ghana,37.9,38,38.2,38.3,38.4,38.5,38.7,38.8,38.9,39,39.1,39.3,39.4,39.5,39.7,39.8,39.9,40,40.2,40.3,40.4,40.5,40.7,40.8,40.9,41
+Greece,25.6,25.8,26.1,26.3,26.5,26.8,27,27.2,27.5,27.7,27.9,28.2,28.4,28.6,28.9,29.1,29.3,29.6,29.8,30,30.3,30.5,30.8,31,31.2,31.4
+Grenada,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50,50
+Guatemala,44.3,43.8,43.3,42.8,42.3,41.8,41.3,40.8,40.3,39.8,39.3,38.8,38.3,37.8,37.3,36.8,36.4,35.9,35.5,35.1,34.7,34.4,34,33.7,33.4,33
+Guinea,29.6,29.4,29.3,29.1,29,28.8,28.7,28.5,28.4,28.2,28.1,27.9,27.8,27.7,27.5,27.4,27.2,27.1,26.9,26.8,26.6,26.5,26.3,26.2,26.1,25.9
+Guinea-Bissau,78.8,78.5,78.1,77.8,77.4,77.1,76.8,76.4,76.1,75.7,75.4,75,74.7,74.4,74,73.7,73.3,73,72.6,72.3,71.9,71.5,71.2,70.8,70.5,70.1
+Guyana,84.6,84.6,84.6,84.6,84.6,84.5,84.5,84.5,84.5,84.5,84.4,84.4,84.4,84.4,84.4,84.3,84.3,84.3,84.3,84.2,84.2,84.2,84.1,84,84,84
+Haiti,4.21,4.18,4.16,4.13,4.11,4.08,4.06,4.03,4.01,3.98,3.96,3.93,3.9,3.87,3.84,3.81,3.78,3.75,3.72,3.69,3.66,3.64,3.61,3.58,3.55,3.52
+Honduras,72.7,71.2,69.6,68,66.5,64.9,63.4,61.8,60.2,58.7,57.1,56.1,55,53.9,52.8,51.8,50.7,49.6,48.5,47.5,46.4,45.3,44.3,43.2,42.1,41
+Hungary,20,20.2,20.3,20.4,20.6,20.7,20.8,21,21.1,21.2,21.4,21.5,21.7,21.8,22,22.1,22.3,22.4,22.6,22.5,22.6,22.6,22.7,22.8,22.8,22.9
+Iceland,0.16,0.17,0.19,0.2,0.21,0.22,0.24,0.25,0.26,0.27,0.29,0.3,0.32,0.33,0.35,0.36,0.38,0.39,0.4,0.41,0.43,0.44,0.45,0.46,0.48,0.49
+India,21.5,21.6,21.6,21.6,21.7,21.8,21.8,21.9,21.9,21.9,22,22.1,22.3,22.5,22.6,22.8,22.9,23.1,23.2,23.3,23.5,23.5,23.6,23.6,23.7,23.8
+Indonesia,65.4,64.4,63.3,62.3,61.2,60.2,59.1,58,57,55.9,54.9,54.7,54.5,54.4,54.2,54,53.6,53.3,52.9,52.5,52.1,51.8,51.4,51,50.6,50.2
+Iran,5.57,5.59,5.6,5.62,5.63,5.65,5.66,5.68,5.69,5.71,5.73,5.89,6.06,6.23,6.4,6.56,6.56,6.56,6.56,6.56,6.56,6.56,6.56,6.56,6.56,6.56
+Iraq,1.84,1.84,1.84,1.85,1.85,1.85,1.86,1.86,1.86,1.87,1.87,1.87,1.88,1.88,1.88,1.89,1.89,1.89,1.89,1.9,1.9,1.9,1.9,1.9,1.9,1.9
+Ireland,6.75,7,7.24,7.49,7.74,7.98,8.23,8.48,8.72,8.97,9.22,9.39,9.56,9.74,9.91,10.1,10.2,10.3,10.3,10.4,10.5,10.6,10.7,10.8,10.9,10.9
+Israel,6.1,6.2,6.29,6.39,6.49,6.59,6.68,6.78,6.88,6.97,7.07,7.09,7.11,7.13,7.14,7.16,7.15,7.14,7.13,7.13,7.12,7.22,7.32,7.42,7.52,7.62
+Italy,25.8,26.1,26.3,26.6,26.9,27.1,27.4,27.7,27.9,28.2,28.5,28.7,29,29.3,29.5,29.8,30,30.1,30.3,30.5,30.7,30.9,31.1,31.2,31.4,31.6
+Jamaica,31.8,31.8,31.8,31.7,31.7,31.6,31.6,31.6,31.6,31.5,31.5,31.4,31.4,31.4,31.4,31.3,31.3,31.2,31.2,31.2,31.1,31.1,31.1,31,31,30.9
+Japan,68.4,68.4,68.4,68.4,68.3,68.3,68.3,68.3,68.3,68.3,68.3,68.3,68.3,68.3,68.4,68.4,68.4,68.4,68.5,68.5,68.5,68.5,68.5,68.5,68.5,68.5
+Jordan,1.1,1.1,1.1,1.1,1.1,1.1,1.1,1.1,1.1,1.1,1.1,1.1,1.1,1.1,1.1,1.1,1.1,1.1,1.1,1.1,1.1,1.1,1.1,1.1,1.1,1.1
+Kazakhstan,,,1.26,1.26,1.26,1.26,1.25,1.25,1.25,1.25,1.25,1.24,1.24,1.24,1.24,1.24,1.23,1.23,1.23,1.23,1.23,1.23,1.23,1.23,1.23,1.23
+Kenya,8.3,8.1,7.89,7.69,7.48,7.28,7.07,6.86,6.66,6.45,6.25,6.42,6.59,6.77,6.94,7.11,7.18,7.24,7.3,7.37,7.43,7.5,7.56,7.63,7.69,7.75
+Kiribati,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15
+Kuwait,0.19,0.2,0.21,0.22,0.23,0.23,0.24,0.25,0.26,0.26,0.27,0.28,0.29,0.3,0.3,0.31,0.32,0.33,0.34,0.34,0.35,0.35,0.35,0.35,0.35,0.35
+Kyrgyz Republic,,,4.38,4.4,4.41,4.42,4.43,4.44,4.45,4.46,4.47,4.49,4.5,4.51,4.52,4.53,4.33,4.13,3.93,3.73,3.53,3.49,3.45,3.4,3.36,3.32
+Lao,76.5,76,75.5,75,74.5,74,73.5,73.1,72.6,72.1,71.6,71.9,72.2,72.5,72.8,73.1,73.9,74.7,75.5,76.4,77.2,78,78.8,79.7,80.5,81.3
+Latvia,,,51.2,51.3,51.5,51.6,51.7,51.8,51.9,52,52.1,52.3,52.5,52.6,52.8,53,53.2,53.4,53.6,53.8,53.9,53.9,54,54,54,54
+Lebanon,12.8,12.8,12.8,12.8,12.8,12.8,12.8,12.8,12.8,12.8,12.8,12.9,13,13.1,13.2,13.3,13.3,13.4,13.4,13.4,13.4,13.4,13.4,13.4,13.4,13.4
+Lesotho,1.32,1.32,1.33,1.34,1.34,1.35,1.36,1.36,1.37,1.38,1.38,1.39,1.4,1.4,1.41,1.42,1.42,1.43,1.44,1.44,1.45,1.48,1.52,1.55,1.58,1.61
+Liberia,51.2,50.9,50.5,50.2,49.9,49.6,49.3,49,48.7,48.4,48.1,47.8,47.4,47.1,46.8,46.5,46.2,45.9,45.6,45.3,44.9,44.6,44.3,44,43.7,43.4
+Libya,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12,0.12
+Liechtenstein,40.6,40.9,41.1,41.4,41.6,41.9,42.1,42.4,42.6,42.9,43.1,43.1,43.1,43.1,43.1,43.1,43.1,43.1,43.1,43.1,43.1,43.1,43.1,43.1,43.1,43.1
+Lithuania,,,31.3,31.4,31.5,31.6,31.8,31.9,32,32.1,32.2,32.5,32.9,33.2,33.5,33.8,34,34.1,34.3,34.5,34.6,34.7,34.7,34.7,34.8,34.8
+Luxembourg,,,,,,,,,,,33.5,33.5,33.5,33.5,33.5,33.5,33.5,33.5,33.5,33.5,33.5,33.5,33.5,33.5,33.5,33.5
+"Macedonia, FYR",,,36.2,36.4,36.6,36.8,37,37.1,37.3,37.5,37.7,37.8,37.9,38.1,38.2,38.3,38.5,39,39.2,39.4,39.6,39.6,39.6,39.6,39.6,39.6
+Madagascar,23.5,23.4,23.3,23.2,23.1,23,22.9,22.7,22.6,22.5,22.4,22.3,22.3,22.2,22.1,22.1,22,21.9,21.8,21.7,21.6,21.6,21.5,21.5,21.5,21.4
+Malawi,41.3,41,40.6,40.3,39.9,39.6,39.2,38.9,38.5,38.2,37.8,37.5,37.1,36.8,36.4,36.1,35.7,35.4,35,34.7,34.3,34.1,34,33.8,33.6,33.4
+Malaysia,68.1,67.9,67.6,67.4,67.2,66.9,66.7,66.4,66.2,66,65.7,65.3,64.9,64.4,64,63.6,64.3,65.1,65.8,66.6,67.3,67.4,67.4,67.5,67.5,67.5
+Maldives,3.33,3.33,3.33,3.33,3.33,3.33,3.33,3.33,3.33,3.33,3.33,3.33,3.33,3.33,3.33,3.33,3.33,3.33,3.33,3.33,3.33,3.33,3.33,3.33,3.33,3.33
+Mali,5.48,5.42,5.35,5.29,5.22,5.16,5.09,5.03,4.96,4.9,4.84,4.77,4.71,4.64,4.58,4.51,4.45,4.38,4.32,4.25,4.19,4.12,4.06,3.99,3.93,3.86
+Malta,1.09,1.09,1.09,1.09,1.09,1.09,1.09,1.09,1.09,1.09,1.09,1.09,1.09,1.09,1.09,1.09,1.09,1.09,1.09,1.09,1.09,1.09,1.09,1.09,1.09,1.08
+Marshall Islands,,70.2,70.2,70.2,70.2,70.2,70.2,70.2,70.2,70.2,70.2,70.2,70.2,70.2,70.2,70.2,70.2,70.2,70.2,70.2,70.2,70.2,70.2,70.2,70.2,70.2
+Mauritania,0.4,0.39,0.38,0.37,0.36,0.36,0.35,0.34,0.33,0.32,0.31,0.3,0.29,0.28,0.27,0.26,0.25,0.25,0.24,0.24,0.23,0.23,0.23,0.22,0.22,0.22
+Mauritius,20.3,20.3,20.3,20.4,20.4,20.4,20.5,20.5,20.6,20.6,20.6,20.3,19.9,19.6,19.2,18.8,18.8,18.9,18.9,18.9,18.9,18.9,19,19,19,19
+Mexico,35.9,35.8,35.7,35.6,35.5,35.4,35.3,35.2,35.1,35,34.9,34.8,34.8,34.7,34.6,34.5,34.5,34.4,34.3,34.3,34.2,34.2,34.1,34.1,34,34
+"Micronesia, Fed. Sts.",,90.9,90.9,91,91,91,91.1,91.1,91.1,91.2,91.2,91.3,91.3,91.3,91.4,91.4,91.5,91.5,91.5,91.6,91.6,91.7,91.7,91.7,91.8,91.8
+Moldova,,,9.74,9.73,9.74,9.76,9.78,9.8,9.81,9.83,9.85,10.1,10.3,10.6,10.8,11,11.2,11.3,11.5,11.6,11.8,11.9,12,12.2,12.3,12.4
+Mongolia,8.07,8.02,7.96,7.91,7.86,7.81,7.75,7.7,7.65,7.59,7.54,7.49,7.44,7.38,7.33,7.28,7.5,7.72,7.95,8.17,8.39,8.33,8.27,8.21,8.14,8.08
+Montenegro,,,,,,,,,,,,,,,,,49.5,52.5,55.5,58.5,61.5,61.5,61.5,61.5,61.5,61.5
+Morocco,11.1,11.1,11.1,11.1,11.1,11.1,11.2,11.2,11.2,11.2,11.2,11.4,11.6,11.7,11.9,12.1,12.2,12.3,12.5,12.6,12.7,12.7,12.7,12.7,12.6,12.6
+Mozambique,55.2,54.9,54.6,54.3,54,53.8,53.5,53.2,52.9,52.7,52.4,52.1,51.8,51.5,51.3,51,50.7,50.4,50.1,49.8,49.6,49.3,49,48.8,48.5,48.3
+Myanmar,60,59.3,58.7,58,57.4,56.7,56,55.4,54.7,54,53.4,52.9,52.4,51.9,51.5,51,50.5,50,49.6,49.1,48.6,47.8,47,46.1,45.3,44.5
+Namibia,10.6,10.6,10.5,10.4,10.3,10.2,10.1,10,9.93,9.84,9.76,9.67,9.58,9.49,9.4,9.31,9.22,9.13,9.03,8.94,8.85,8.76,8.67,8.58,8.49,8.4
+Nauru,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Nepal,33.7,33,32.4,31.8,31.1,30.5,29.8,29.2,28.6,27.9,27.2,26.8,26.5,26.1,25.7,25.4,25.4,25.4,25.4,25.4,25.4,25.4,25.4,25.4,25.4,25.4
+Netherlands,10.2,10.3,10.3,10.3,10.4,10.4,10.5,10.5,10.6,10.6,10.7,10.7,10.7,10.8,10.8,10.8,10.9,10.9,10.9,11,11.1,11.1,11.1,11.1,11.1,11.2
+New Zealand,36.7,36.9,37,37.2,37.4,37.6,37.8,38,38.1,38.3,38.5,38.5,38.6,38.6,38.6,38.7,38.6,38.6,38.6,38.6,38.5,38.5,38.5,38.5,38.5,38.6
+Nicaragua,37.5,36.9,36.4,35.8,35.2,34.6,34,33.4,32.9,32.3,31.7,31.1,30.5,29.9,29.4,28.8,28.2,27.6,27,26.5,25.9,25.9,25.9,25.9,25.9,25.9
+Niger,1.54,1.49,1.44,1.39,1.34,1.29,1.24,1.19,1.15,1.1,1.05,1.04,1.03,1.02,1.01,1,0.99,0.98,0.97,0.96,0.95,0.94,0.93,0.92,0.91,0.9
+Nigeria,18.9,18.5,18,17.6,17.1,16.7,16.2,15.8,15.3,14.9,14.4,14,13.5,13.1,12.6,12.2,11.7,11.3,10.8,10.4,9.93,9.48,9.03,8.58,8.13,7.68
+North Korea,68.1,67.1,66,65,63.9,62.8,61.8,60.7,59.7,58.6,57.6,56.5,55.5,54.4,53.4,52.3,51.3,50.2,49.2,48.1,47.1,46,45,43.9,42.8,41.8
+Norway,33.2,33.2,33.2,33.2,33.2,33.2,33.2,33.2,33.2,33.2,33.2,33.1,33.1,33.1,33.1,33.1,33.1,33.1,33.1,33.1,33.1,33.1,33.1,33.1,33.2,33.2
+Oman,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01
+Pakistan,3.28,3.22,3.17,3.12,3.06,3.01,2.96,2.9,2.85,2.8,2.74,2.69,2.63,2.58,2.52,2.47,2.41,2.36,2.3,2.24,2.19,2.13,2.08,2.02,1.97,1.91
+Palau,,83.3,83.6,83.9,84.2,84.5,84.8,85.1,85.4,85.7,86.1,86.4,86.7,87,87.3,87.6,87.6,87.6,87.6,87.6,87.6,87.6,87.6,87.6,87.6,87.6
+Palestine,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.52,1.52,1.52,1.52,1.52,1.52,1.52,1.52,1.52,1.52,1.52,1.52,1.52
+Panama,67.8,67.6,67.3,67.1,66.9,66.6,66.4,66.2,65.9,65.7,65.5,65.2,65,64.8,64.5,64.3,64.1,63.9,63.7,63.4,63.2,63,62.8,62.5,62.3,62.1
+Papua New Guinea,74.3,74.3,74.2,74.2,74.2,74.2,74.2,74.2,74.2,74.2,74.2,74.2,74.2,74.2,74.2,74.2,74.2,74.2,74.2,74.1,74.1,74.1,74.1,74.1,74.1,74.1
+Paraguay,53.3,52.8,52.4,51.9,51.5,51,50.5,50.1,49.6,49.2,48.8,48.3,47.9,47.4,47,46.5,45.7,45,44.2,43.4,42.7,41.8,41,40.2,39.4,38.6
+Peru,60.9,60.7,60.6,60.5,60.3,60.2,60,59.9,59.8,59.6,59.5,59.4,59.3,59.2,59.1,59,58.9,58.8,58.7,58.6,58.5,58.3,58.2,58,57.9,57.8
+Philippines,22,22.1,22.3,22.5,22.6,22.8,22.9,23.1,23.3,23.4,23.6,23.6,23.6,23.7,23.7,23.7,23.6,23.4,23.3,23.1,22.9,23.7,24.6,25.4,26.2,27
+Poland,29,29.1,29.1,29.2,29.2,29.3,29.3,29.4,29.5,29.5,29.6,29.7,29.8,29.9,29.9,30,30.1,30.2,30.3,30.4,30.5,30.5,30.6,30.7,30.7,30.8
+Portugal,37.5,37.5,37.4,37.3,37.1,37,36.9,36.8,36.7,36.6,36.5,36.4,36.3,36.2,36.1,36,35.9,35.8,35.7,35.5,35.4,35.2,35.1,35,34.9,34.7
+Qatar,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Romania,27.8,27.8,27.8,27.8,27.8,27.8,27.7,27.7,27.7,27.7,27.7,27.7,27.7,27.8,27.8,27.8,27.9,28,28.1,28.2,28.3,28.6,28.9,29.2,29.5,29.8
+Russia,,,49.4,49.4,49.4,49.4,49.4,49.4,49.4,49.4,49.4,49.4,49.4,49.4,49.4,49.4,49.5,49.5,49.6,49.7,49.8,49.8,49.8,49.8,49.8,49.8
+Rwanda,12.9,13,13.1,13.2,13.3,13.4,13.5,13.6,13.7,13.8,13.9,14.3,14.6,14.9,15.3,15.6,16.1,16.6,17.1,17.6,18.1,18.4,18.6,18.9,19.2,19.5
+Samoa,45.9,47.4,48.8,50.3,51.7,53.2,54.6,56.1,57.5,59,60.4,60.4,60.4,60.4,60.4,60.4,60.4,60.4,60.4,60.4,60.4,60.4,60.4,60.4,60.4,60.4
+San Marino,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+Sao Tome and Principe,58.3,58.3,58.3,58.3,58.3,58.3,58.3,58.3,58.3,58.3,58.3,58.3,58.3,58.3,58.3,58.3,57.8,57.3,56.8,56.3,55.8,55.8,55.8,55.8,55.8,55.8
+Saudi Arabia,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45,0.45
+Senegal,48.5,48.3,48.1,47.9,47.6,47.4,47.1,46.9,46.7,46.5,46.2,46,45.8,45.5,45.3,45,44.8,44.6,44.4,44.2,44,43.8,43.6,43.4,43.2,43
+Serbia,,,,,,,,,,,,,,,,,28.9,29.4,29.9,30.5,31,31,31.1,31.1,31.1,31.1
+Seychelles,88.4,88.4,88.4,88.4,88.4,88.4,88.4,88.4,88.4,88.4,88.4,88.4,88.4,88.4,88.4,88.4,88.4,88.4,88.4,88.4,88.4,88.4,88.4,88.4,88.4,88.4
+Sierra Leone,43.2,42.9,42.6,42.4,42.1,41.8,41.6,41.3,41,40.8,40.5,40.2,39.9,39.7,39.4,39.1,38.9,38.6,38.3,38,37.8,38.6,39.5,40.4,41.3,42.2
+Singapore,24.4,24.4,24.4,24.4,24.4,24.4,24.4,24.4,24.4,24.4,24.4,24.4,24.2,23.8,23.7,23.7,23.6,23.5,23.4,23.4,23.3,23.2,23.2,23.1,23.1,23.1
+Slovak Republic,,,,40,40,40,40,39.9,39.9,39.9,39.9,40,40,40.1,40.1,40.2,40.2,40.2,40.3,40.3,40.3,40.3,40.3,40.3,40.3,40.4
+Slovenia,,,59.4,59.7,59.9,60.1,60.3,60.5,60.8,61,61.2,61.3,61.4,61.5,61.6,61.7,61.8,61.8,61.8,61.9,61.9,61.9,61.9,62,62,62
+Solomon Islands,83,82.8,82.6,82.4,82.2,82,81.8,81.6,81.4,81.2,81,80.8,80.6,80.5,80.3,80.1,79.9,79.7,79.5,79.3,79.1,78.9,78.7,78.5,78.3,78.1
+Somalia,13.2,13.1,13,12.8,12.7,12.6,12.5,12.3,12.2,12.1,12,11.9,11.7,11.6,11.5,11.4,11.2,11.1,11,10.9,10.8,10.6,10.5,10.4,10.3,10.1
+South Africa,7.62,7.62,7.62,7.62,7.62,7.62,7.62,7.62,7.62,7.62,7.62,7.62,7.62,7.62,7.62,7.62,7.62,7.62,7.62,7.62,7.62,7.62,7.62,7.62,7.62,7.62
+South Korea,66,66,65.9,65.8,65.7,65.6,65.5,65.4,65.4,65.3,65.2,64.9,64.8,64.8,64.7,64.6,64.5,64.4,64.3,64.2,64,63.9,63.8,63.6,63.5,63.4
+Spain,27.6,28.3,28.9,29.6,30.2,30.8,31.5,32.1,32.7,33.4,34,34.2,34.3,34.4,34.5,34.6,35,35.4,35.8,36.2,36.5,36.6,36.6,36.7,36.8,36.8
+Sri Lanka,36.4,36.3,36.1,36,35.8,35.7,35.5,35.4,35.3,35.1,35,34.7,34.5,34.3,34,33.8,33.7,33.7,33.6,33.6,33.5,33.4,33.3,33.2,33.1,33
+St. Kitts and Nevis,42.3,42.3,42.3,42.3,42.3,42.3,42.3,42.3,42.3,42.3,42.3,42.3,42.3,42.3,42.3,42.3,42.3,42.3,42.3,42.3,42.3,42.3,42.3,42.3,42.3,42.3
+St. Lucia,35.7,35.6,35.5,35.4,35.3,35.3,35.1,35,35,34.9,34.8,34.7,34.6,34.5,34.4,34.3,34.2,34.1,34,33.9,33.8,33.7,33.6,33.5,33.4,33.3
+St. Vincent and the Grenadines,64.1,64.4,64.6,64.9,65.1,65.4,65.6,65.9,66.2,66.4,66.7,66.7,66.7,66.7,66.7,66.7,67.2,67.7,68.2,68.7,69.2,69.2,69.2,69.2,69.2,69.2
+Sudan,12.9,12.9,12.8,12.7,12.6,12.6,12.5,12.4,12.3,12.3,12.2,12.1,12.1,12,11.9,11.8,11.8,11.7,11.6,11.5,11.5,,,,,
+Suriname,98.9,98.9,98.9,98.8,98.8,98.8,98.8,98.7,98.7,98.7,98.7,98.6,98.6,98.6,98.6,98.5,98.5,98.5,98.5,98.4,98.4,98.4,98.4,98.3,98.3,98.3
+Swaziland,27.4,27.7,28,28.2,28.5,28.8,29.1,29.3,29.6,29.9,30.1,30.4,30.6,30.9,31.2,31.4,31.7,32,32.2,32.5,32.7,33,33.3,33.5,33.8,34.1
+Sweden,68.4,68.4,68.4,68.5,68.5,68.5,68.5,68.6,68.6,68.6,68.6,68.7,68.7,68.7,68.7,68.8,68.7,68.6,68.6,68.5,68.4,68.4,68.9,68.9,68.9,68.9
+Switzerland,29.1,29.2,29.3,29.4,29.6,29.7,29.8,29.9,30,30.1,30.2,30.3,30.4,30.6,30.7,30.8,30.9,31,31.1,31.2,31.3,31.4,31.4,31.5,31.6,31.7
+Syria,2.02,2.06,2.09,2.12,2.15,2.19,2.22,2.25,2.29,2.32,2.35,2.38,2.41,2.45,2.48,2.51,2.54,2.58,2.61,2.64,2.67,2.67,2.67,2.67,2.67,2.67
+Tajikistan,,,2.92,2.92,2.92,2.92,2.92,2.93,2.93,2.93,2.93,2.93,2.93,2.93,2.93,2.93,2.93,2.93,2.93,2.93,2.93,2.93,2.94,2.94,2.97,2.97
+Tanzania,63.1,62.7,62.2,61.8,61.3,60.9,60.4,60,59.5,59.1,58.6,58.2,57.7,57.3,56.8,56.4,55.9,55.5,55,54.5,54.1,53.7,53.3,52.8,52.4,52
+Thailand,27.4,28,28.6,29.2,29.8,30.4,30.9,31.5,32.1,32.7,33.3,32.9,32.6,32.2,31.9,31.5,31.6,31.6,31.7,31.8,31.8,31.9,31.9,32,32,32.1
+Timor-Leste,65,64.2,63.5,62.7,62,61.2,60.4,59.7,58.9,58.2,57.4,56.7,55.9,55.2,54.4,53.7,52.9,52.2,51.4,50.6,49.9,49.1,48.4,47.6,46.9,46.1
+Togo,12.6,12.2,11.9,11.5,11.1,10.8,10.4,10,9.67,9.3,8.94,8.57,8.2,7.83,7.46,7.1,6.73,6.37,6,5.64,5.28,4.91,4.55,4.18,3.82,3.46
+Tonga,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5,12.5
+Trinidad and Tobago,46.9,46.8,46.6,46.5,46.4,46.2,46.1,46,45.8,45.7,45.5,45.4,45.3,45.1,45,44.8,44.7,44.5,44.4,44.3,44.1,44.5,44.8,45.1,45.4,45.7
+Tunisia,4.14,4.26,4.39,4.51,4.64,4.76,4.89,5.01,5.14,5.26,5.39,5.49,5.59,5.69,5.79,5.89,5.99,6.08,6.18,6.28,6.37,6.44,6.5,6.57,6.63,6.7
+Turkey,12.5,12.6,12.7,12.7,12.8,12.9,12.9,13,13.1,13.2,13.2,13.4,13.5,13.6,13.7,13.8,14,14.1,14.3,14.4,14.6,14.7,14.8,15,15.1,15.2
+Turkmenistan,,,8.78,8.78,8.78,8.78,8.78,8.78,8.78,8.78,8.78,8.78,8.78,8.78,8.78,8.78,8.78,8.78,8.78,8.78,8.78,8.78,8.78,8.78,8.78,8.78
+Tuvalu,33.3,33.3,33.3,33.3,33.3,33.3,33.3,33.3,33.3,33.3,33.3,33.3,33.3,33.3,33.3,33.3,33.3,33.3,33.3,33.3,33.3,33.3,33.3,33.3,33.3,33.3
+Uganda,23.8,23.3,22.9,22.4,22,21.6,21.1,20.7,20.3,19.8,19.4,18.9,18.5,18,17.6,17.2,16.5,15.8,15.1,14.4,13.7,13.1,12.4,11.7,11,10.4
+Ukraine,,,16.1,16.1,16.2,16.2,16.3,16.3,16.3,16.4,16.4,16.4,16.5,16.5,16.5,16.5,16.5,16.5,16.5,16.5,16.5,16.5,16.6,16.6,16.6,16.7
+United Arab Emirates,2.93,3.01,3.09,3.16,3.24,3.32,3.4,3.47,3.55,3.63,3.71,3.71,3.72,3.72,3.73,3.73,3.74,3.76,3.77,3.78,3.8,3.81,3.82,3.83,3.85,3.86
+United Kingdom,11.5,11.6,11.6,11.7,11.8,11.8,11.9,12,12.1,12.1,12.2,12.3,12.3,12.4,12.4,12.5,12.5,12.6,12.6,12.6,12.6,12.7,12.8,12.8,12.9,13
+United States,33,33,33,33.1,33.1,33.1,33.1,33.1,33.1,33.1,33.1,33.2,33.2,33.2,33.2,33.3,33.4,33.4,33.6,33.7,33.8,33.8,33.8,33.8,33.9,33.9
+Uruguay,4.56,4.89,5.21,5.54,5.87,6.19,6.52,6.85,7.17,7.5,7.83,8,8.17,8.35,8.52,8.7,8.93,9.17,9.41,9.65,9.89,10,10.2,10.3,10.4,10.5
+Uzbekistan,,,7.24,7.28,7.31,7.35,7.39,7.43,7.47,7.51,7.55,7.59,7.63,7.67,7.71,7.75,7.74,7.73,7.72,7.71,7.7,7.67,7.65,7.62,7.6,7.57
+Vanuatu,36.1,36.1,36.1,36.1,36.1,36.1,36.1,36.1,36.1,36.1,36.1,36.1,36.1,36.1,36.1,36.1,36.1,36.1,36.1,36.1,36.1,36.1,36.1,36.1,36.1,36.1
+Venezuela,59,58.7,58.3,58,57.7,57.4,57,56.7,56.4,56,55.7,55.4,55.1,54.8,54.4,54.1,54,54,54,53.9,53.9,53.7,53.5,53.3,53.1,52.9
+Vietnam,28.8,29.5,30.2,30.9,31.7,32.4,33.1,33.9,34.6,35.3,37.7,38.6,39.5,40.4,41.3,42.2,42.9,43.5,44.2,44.9,45.6,46,46.4,46.8,47.2,47.6
+Yemen,1.04,1.04,1.04,1.04,1.04,1.04,1.04,1.04,1.04,1.04,1.04,1.04,1.04,1.04,1.04,1.04,1.04,1.04,1.04,1.04,1.04,1.04,1.04,1.04,1.04,1.04
+Zambia,71,70.8,70.6,70.3,70.1,69.9,69.7,69.5,69.2,69,68.8,68.6,68.3,68.1,67.9,67.7,67.4,67.2,67,66.8,66.5,66.3,66.1,65.9,65.7,65.4
+Zimbabwe,57.3,56.5,55.6,54.8,53.9,53.1,52.2,51.4,50.5,49.7,48.8,48,47.1,46.3,45.5,44.6,43.8,42.9,42.1,41.2,40.4,39.6,38.8,38,37.2,36.4

data/hydro_power_generation_per_person.csv ADDED Viewed

	@@ -0,0 +1,119 @@

+geo,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011
+Albania,,,,,,,,,,,,0.0275,0.0345,0.0422,0.0476,0.0573,0.0666,0.0754,0.0805,0.0887,0.095,0.0962,0.0967,0.0972,0.0815,0.0619,0.115,0.0924,0.0791,0.0813,0.0744,0.0919,0.0849,0.0884,0.102,0.115,0.158,0.14,0.137,0.148,0.129,0.0993,0.0977,0.135,0.15,0.147,0.148,0.0756,0.103,0.14,0.203,
+Algeria,,,,,,,,,,,,0.002,0.00292,0.0043,0.00275,0.00176,0.00202,0.00136,0.00122,0.00137,0.00118,0.00162,0.00205,0.00097,0.00181,0.00251,0.00094,0.00183,0.00065,0.00079,0.00046,0.00097,0.00064,0.00112,0.00051,0.00059,0.0004,0.00022,0.00062,0.00058,0.00015,0.00019,0.00016,0.00071,0.00067,0.00145,0.00056,0.00057,0.00071,0.00075,0.00042,
+Angola,,,,,,,,,,,,0.0086,0.00946,0.0111,0.0114,0.0123,0.00541,0.00526,0.00632,0.00645,0.0067,0.00647,0.00662,0.00585,0.00588,0.00665,0.00647,0.0063,0.00615,0.00607,0.00603,0.00623,0.00656,0.00673,0.00655,0.00639,0.00639,0.00588,0.00694,0.00569,0.00563,0.00608,0.0066,0.00692,0.00943,0.0116,0.0135,0.0123,0.0149,0.0143,0.0159,
+Argentina,,,,,,,,,,,,0.00545,0.00522,0.0102,0.0169,0.0171,0.0163,0.0184,0.0244,0.0331,0.0463,0.0442,0.0522,0.0538,0.0572,0.0585,0.0586,0.0601,0.0407,0.0346,0.0471,0.0421,0.0497,0.0604,0.0683,0.0662,0.0558,0.0674,0.0629,0.0503,0.067,0.0853,0.0819,0.0765,0.0683,0.0756,0.0836,0.0663,0.0659,0.0727,0.0715,
+Armenia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0377,0.0379,0.0759,0.11,0.0918,0.0512,0.0426,0.0381,0.0425,0.0334,0.0352,0.0272,0.0466,0.0557,0.0561,0.0497,0.0511,0.0518,0.0502,0.0563,0.0711,
+Australia,0.0334,0.0379,0.0395,0.052,0.0529,0.0628,0.0523,0.0551,0.0537,0.0578,0.06,0.0767,0.0752,0.0728,0.0829,0.0909,0.0921,0.0795,0.083,0.0909,0.0756,0.0812,0.0774,0.068,0.0668,0.0743,0.0776,0.0716,0.0741,0.0737,0.0712,0.0785,0.0753,0.0802,0.0785,0.0754,0.0723,0.0766,0.0706,0.0735,0.0734,0.0735,0.0696,0.0706,0.0686,0.0643,0.0651,0.0581,0.0476,0.0431,0.0481,0.0564
+Austria,0.139,0.136,0.14,0.136,0.151,0.186,0.2,0.203,0.207,0.189,0.239,0.186,0.192,0.213,0.252,0.266,0.227,0.278,0.278,0.314,0.327,0.352,0.352,0.349,0.329,0.352,0.353,0.408,0.405,0.398,0.353,0.35,0.385,0.403,0.389,0.402,0.37,0.389,0.401,0.438,0.449,0.433,0.428,0.351,0.386,0.383,0.372,0.384,0.395,0.42,0.393,0.345
+Azerbaijan,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00835,0.0206,0.0202,0.0273,0.0205,0.0172,0.0169,0.0186,0.021,0.0161,0.0163,0.0137,0.021,0.0253,0.0279,0.0301,0.0249,0.023,0.0215,0.0219,0.0323,
+Bangladesh,,,,,,,,,,,,0.00022,0.00022,0.00041,0.0003,0.00053,0.00059,0.00051,0.00057,0.00064,0.00062,0.00065,0.00053,0.00065,0.00086,0.00069,0.00041,0.00046,0.00058,0.00077,0.00072,0.00067,0.00062,0.00046,0.00063,0.00027,0.00053,0.00051,0.0006,0.00056,0.00063,0.00065,0.00068,0.00071,0.00076,0.00079,0.00084,0.00083,0.00087,0.00091,0.00096,
+Belarus,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00017,0.00015,0.00014,0.00016,0.00016,0.00017,0.00013,0.00018,0.00024,0.00016,0.00023,0.00026,0.00025,0.00024,0.00029,0.00032,0.00031,0.00031,0.00035,0.00039,0.0004,
+Belgium,0.00162,0.00176,0.00151,0.00133,0.00105,0.00248,0.00271,0.00215,0.0022,0.00206,0.0022,0.00119,0.0016,0.00151,0.00211,0.00161,0.00096,0.00196,0.00195,0.00204,0.00243,0.00333,0.00291,0.00294,0.00307,0.00251,0.00299,0.00374,0.00312,0.00264,0.0023,0.00197,0.00293,0.00218,0.00296,0.00288,0.00203,0.00259,0.0033,0.00289,0.00389,0.00371,0.00302,0.00206,0.00263,0.00238,0.00295,0.00317,0.00332,0.00265,0.0025,0.00159
+Benin,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00003,0.00003,0.00003,0.00003,0.00003,0.00002,0.00002,0.00001,0.00001,,,,,,
+Bolivia,,,,,,,,,,,,0.0179,0.0184,0.0184,0.0191,0.0194,0.0198,0.0205,0.0212,0.0211,0.0171,0.0182,0.0176,0.0172,0.0172,0.0165,0.0157,0.0147,0.0157,0.0154,0.0152,0.0164,0.0156,0.0181,0.0155,0.0145,0.016,0.0172,0.0168,0.0189,0.0201,0.0216,0.0219,0.0194,0.0206,0.0185,0.0199,0.0211,0.0207,0.0202,0.0189,
+Bosnia and Herzegovina,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.061,0.106,0.0745,0.0554,0.0859,0.094,0.134,0.119,0.113,0.132,0.119,0.119,0.12,0.102,0.136,0.136,0.133,0.091,0.111,0.142,0.183,
+Brazil,,,,,,,,,,,,0.0377,0.0432,0.0482,0.0534,0.0574,0.0643,0.0708,0.0761,0.0843,0.0911,0.0902,0.0952,0.0998,0.107,0.113,0.113,0.113,0.118,0.12,0.119,0.123,0.124,0.129,0.131,0.135,0.139,0.144,0.148,0.146,0.15,0.13,0.137,0.145,0.15,0.156,0.16,0.169,0.166,0.174,0.178,
+Bulgaria,,,,,,,,,,,,0.0219,0.021,0.0256,0.0206,0.0242,0.029,0.0345,0.0284,0.0322,0.036,0.035,0.0294,0.0322,0.0313,0.0215,0.0223,0.0244,0.025,0.0261,0.0183,0.024,0.0205,0.0195,0.0149,0.0238,0.0303,0.0289,0.0328,0.0293,0.0287,0.0188,0.0239,0.0332,0.035,0.0482,0.0474,0.0323,0.032,0.0396,0.058,
+Cambodia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00019,0.00027,0.00018,0.00028,0.00031,0.0003,0.00027,0.00023,0.00016,
+Cameroon,,,,,,,,,,,,0.0128,0.0128,0.0124,0.0134,0.0142,0.0134,0.0127,0.0126,0.0127,0.0129,0.0166,0.0182,0.0181,0.0183,0.0195,0.0193,0.0189,0.0192,0.0193,0.0187,0.0183,0.018,0.0182,0.017,0.017,0.0173,0.0182,0.0179,0.0187,0.0189,0.0186,0.0167,0.0181,0.0196,0.0185,0.0186,0.018,0.0194,0.018,0.0187,
+Canada,0.513,0.493,0.484,0.475,0.509,0.516,0.561,0.562,0.559,0.607,0.626,0.634,0.699,0.74,0.792,0.752,0.781,0.799,0.844,0.866,0.881,0.923,0.886,0.905,0.963,1.01,1.02,1.02,0.981,0.917,0.921,0.945,0.958,0.969,0.978,0.986,1.03,1.01,0.948,0.979,1,0.925,0.964,0.918,0.917,0.969,0.93,0.958,0.966,0.941,0.888,0.942
+Chile,,,,,,,,,,,,0.0424,0.0496,0.0476,0.0533,0.0527,0.0537,0.0559,0.0574,0.0581,0.0605,0.0617,0.0665,0.0706,0.072,0.0786,0.0826,0.0881,0.0848,0.07,0.0582,0.0841,0.105,0.11,0.103,0.11,0.099,0.11,0.0912,0.0767,0.103,0.116,0.121,0.117,0.117,0.14,0.152,0.12,0.124,0.128,0.109,0.105
+China,,,,,,,,,,,,0.00308,0.00341,0.00372,0.00412,0.00423,0.00421,0.00433,0.004,0.00444,0.00509,0.00566,0.00633,0.00724,0.00717,0.00752,0.00757,0.00788,0.00845,0.00902,0.00951,0.00927,0.00969,0.011,0.012,0.0135,0.0132,0.0136,0.0143,0.0139,0.0151,0.0187,0.0193,0.0189,0.0234,0.0261,0.0285,0.0316,0.0379,0.0396,0.0463,
+Colombia,,,,,,,,,,,,0.0262,0.028,0.0298,0.0325,0.0319,0.0323,0.0358,0.0404,0.0434,0.0457,0.0447,0.0462,0.0457,0.0499,0.0526,0.0596,0.0636,0.0657,0.0704,0.0712,0.0704,0.0555,0.0682,0.077,0.0759,0.0822,0.0716,0.0689,0.0742,0.0694,0.0676,0.0711,0.0745,0.0813,0.0795,0.0841,0.0862,0.0887,0.0773,0.075,
+"Congo, Dem. Rep.",,,,,,,,,,,,0.0142,0.0138,0.0147,0.0129,0.0137,0.0143,0.0141,0.0135,0.013,0.0135,0.0129,0.0124,0.0131,0.0134,0.0139,0.0141,0.0137,0.0133,0.0169,0.0133,0.012,0.0132,0.0116,0.0107,0.012,0.0116,0.00932,0.00855,0.00941,0.0104,0.0101,0.01,0.00979,0.0109,0.0111,0.0109,0.0111,0.0103,0.0104,0.0102,
+"Congo, Rep.",,,,,,,,,,,,0.00337,0.004,0.00294,0.00314,0.00321,0.00338,0.0025,0.00056,0.00379,0.00478,0.00478,0.00784,0.0102,0.0107,0.012,0.0108,0.0109,0.011,0.0147,0.0176,0.0168,0.0145,0.0119,0.0104,0.0111,0.014,0.0134,0.00989,0.00267,0.00809,0.00894,0.0103,0.00874,0.00823,0.00864,0.00881,0.00772,0.0084,0.0072,0.00915,
+Costa Rica,,,,,,,,,,,,0.0474,0.0495,0.0498,0.0537,0.0544,0.0593,0.0533,0.0573,0.0612,0.0778,0.0815,0.0828,0.094,0.0986,0.088,0.0899,0.0908,0.0898,0.0956,0.0947,0.0999,0.0956,0.102,0.1,0.0881,0.0921,0.113,0.0985,0.115,0.125,0.117,0.126,0.124,0.135,0.131,0.13,0.131,0.141,0.135,0.134,
+Cote d'Ivoire,,,,,,,,,,,,0.00211,0.00329,0.00234,0.00368,0.00487,0.00417,0.00257,0.00185,0.00772,0.0137,0.0167,0.016,0.00867,0.00318,0.0111,0.00943,0.00801,0.00912,0.0113,0.00908,0.00833,0.00673,0.00684,0.00708,0.0104,0.0101,0.0104,0.00746,0.00928,0.00915,0.00916,0.00865,0.00902,0.00848,0.00686,0.00709,0.00829,0.0086,0.00947,0.00705,
+Croatia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0724,0.109,0.0814,0.0807,0.091,0.097,0.134,0.0983,0.102,0.125,0.112,0.126,0.103,0.0941,0.135,0.123,0.116,0.0823,0.102,0.131,0.163,
+Cuba,,,,,,,,,,,,0.00107,0.00071,0.00058,0.00082,0.00057,0.00048,0.00065,0.00074,0.00092,0.00085,0.00052,0.00037,0.00054,0.0006,0.00046,0.0005,0.00037,0.00061,0.00067,0.00074,0.00085,0.00065,0.00065,0.00039,0.00058,0.00075,0.00102,0.00076,0.0008,0.00069,0.00058,0.00082,0.00098,0.00067,0.00052,0.00072,0.00092,0.00105,0.00115,0.00074,
+Czech Republic,,,,,,,,,,,,0.0106,0.011,0.00939,0.0157,0.0156,0.0124,0.0167,0.0155,0.0193,0.0201,0.0172,0.0139,0.0138,0.0108,0.014,0.0157,0.0206,0.0175,0.0137,0.00969,0.00908,0.0117,0.0114,0.0122,0.0167,0.0164,0.0142,0.0117,0.0141,0.0148,0.0173,0.021,0.0117,0.017,0.02,0.0214,0.0174,0.0168,0.02,0.0228,0.0175
+Denmark,0.00047,0.00048,0.00048,0.00046,0.00046,0.00045,0.00047,0.00045,0.00037,0.00039,0.00042,0.00042,0.00041,0.00041,0.00041,0.00041,0.00041,0.00037,0.00039,0.00042,0.0005,0.00055,0.00052,0.00057,0.0005,0.0005,0.00049,0.00049,0.00055,0.00039,0.00047,0.00042,0.00047,0.00046,0.00054,0.00049,0.00031,0.00031,0.00044,0.0005,0.00048,0.00045,0.00051,0.00034,0.00043,0.00036,0.00036,0.00044,0.00041,0.0003,0.00033,0.00026
+Dominican Republic,,,,,,,,,,,,0.00994,0.0104,0.00932,0.0086,0.00713,0.0127,0.00726,0.0116,0.0126,0.00828,0.0198,0.0119,0.013,0.0156,0.0152,0.018,0.0195,0.0205,0.00578,0.00417,0.00594,0.00612,0.0127,0.0059,0.00656,0.00921,0.00698,0.00757,0.0112,0.00763,0.00686,0.00845,0.0114,0.0151,0.0177,0.016,0.0153,0.0123,0.0149,0.0155,
+Ecuador,,,,,,,,,,,,0.00615,0.00604,0.00574,0.00641,0.00782,0.00732,0.00656,0.00904,0.00788,0.00942,0.00819,0.00916,0.0171,0.0314,0.031,0.037,0.0411,0.0424,0.0425,0.0418,0.0416,0.0399,0.0456,0.0505,0.039,0.0471,0.0477,0.0468,0.0508,0.053,0.0484,0.0507,0.0475,0.0483,0.0441,0.0449,0.0561,0.0691,0.0556,0.0513,
+Egypt,,,,,,,,,,,,0.0118,0.0118,0.0115,0.0134,0.0146,0.0168,0.0185,0.0187,0.0186,0.0187,0.0191,0.0191,0.0175,0.0168,0.0147,0.0154,0.014,0.0142,0.0154,0.015,0.0147,0.0141,0.015,0.0155,0.0158,0.0157,0.016,0.0161,0.019,0.0174,0.0189,0.0158,0.0157,0.0149,0.0146,0.0147,0.0173,0.0161,0.0139,0.0138,
+El Salvador,,,,,,,,,,,,0.0117,0.00965,0.0105,0.0117,0.00581,0.0039,0.00801,0.0127,0.0194,0.0175,0.00993,0.0081,0.0142,0.0152,0.0202,0.0209,0.019,0.0216,0.0233,0.0266,0.0201,0.0221,0.0234,0.022,0.0221,0.028,0.021,0.0229,0.0257,0.017,0.0168,0.0163,0.021,0.0198,0.0237,0.0278,0.0245,0.0286,0.021,0.0289,
+Estonia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00006,0.00006,0.00018,0.00012,0.00012,0.00018,0.00025,0.00025,0.00031,0.00044,0.00038,0.00083,0.0014,0.00141,0.0009,0.00135,0.00179,0.00205,0.00173,0.00192
+Ethiopia,,,,,,,,,,,,0.00088,0.00088,0.00091,0.00093,0.00091,0.00093,0.00095,0.00102,0.00109,0.00118,0.0012,0.00134,0.00141,0.00149,0.00141,0.00145,0.00142,0.00135,0.00133,0.00189,0.00186,0.00191,0.00203,0.00211,0.00215,0.00221,0.00223,0.00218,0.00216,0.00216,0.00254,0.00252,0.00277,0.00299,0.00328,0.00369,0.00375,0.00357,0.00373,0.00511,
+Finland,0.102,0.155,0.187,0.159,0.158,0.176,0.195,0.218,0.197,0.164,0.173,0.198,0.191,0.194,0.232,0.222,0.172,0.22,0.176,0.196,0.184,0.244,0.233,0.241,0.233,0.216,0.216,0.24,0.232,0.226,0.187,0.227,0.258,0.229,0.199,0.218,0.199,0.205,0.251,0.213,0.244,0.219,0.178,0.158,0.248,0.226,0.188,0.23,0.277,0.204,0.207,0.199
+France,0.077,0.0719,0.0664,0.0795,0.0628,0.0827,0.0911,0.0786,0.0867,0.0903,0.096,0.0821,0.0814,0.0789,0.0923,0.0981,0.0788,0.123,0.11,0.106,0.111,0.115,0.112,0.109,0.103,0.0963,0.0967,0.108,0.117,0.0711,0.0816,0.087,0.104,0.0972,0.118,0.108,0.0979,0.0941,0.0913,0.106,0.0978,0.108,0.0872,0.0845,0.085,0.073,0.0787,0.0807,0.0881,0.0788,0.0849,0.0614
+Gabon,,,,,,,,,,,,,0.00078,0.00076,0.0148,0.0207,0.0228,0.0412,0.0394,0.0402,0.0328,0.0504,0.0578,0.063,0.0682,0.0722,0.0728,0.0711,0.0699,0.0645,0.0653,0.0634,0.0618,0.0597,0.0608,0.0625,0.0592,0.0606,0.0593,0.0592,0.0559,0.0598,0.0615,0.0587,0.0571,0.0509,0.0582,0.0484,0.053,0.0516,0.0462,
+Georgia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.119,0.118,0.105,0.108,0.113,0.0882,0.103,0.106,0.113,0.115,0.106,0.102,0.126,0.123,0.115,0.12,0.103,0.133,0.14,0.146,0.185,
+Germany,0.0142,0.014,0.0132,0.0129,0.0126,0.0161,0.0178,0.0171,0.0173,0.0145,0.0193,0.0148,0.0144,0.0167,0.0193,0.0186,0.0151,0.0192,0.0201,0.0202,0.0209,0.0219,0.0218,0.0207,0.0204,0.0192,0.0205,0.0224,0.0221,0.0199,0.0189,0.0161,0.0186,0.019,0.021,0.0229,0.023,0.0181,0.018,0.0205,0.0227,0.0237,0.0241,0.0201,0.022,0.0204,0.0208,0.0218,0.0218,0.0195,0.0213,0.0192
+Ghana,,,,,,,,,,,,0.0281,0.0312,0.0353,0.0362,0.0342,0.0355,0.0367,0.0306,0.0373,0.0415,0.0408,0.0365,0.0182,0.0124,0.0199,0.0284,0.0295,0.0295,0.0313,0.0333,0.0345,0.0363,0.0336,0.0316,0.0308,0.0327,0.033,0.018,0.0238,0.0297,0.0289,0.0215,0.0162,0.0215,0.0224,0.0218,0.0141,0.0229,0.0248,0.0247,
+Greece,0.0048,0.00596,0.00659,0.0086,0.00798,0.00805,0.0173,0.0165,0.0135,0.0202,0.0258,0.0258,0.026,0.0215,0.0225,0.0192,0.0177,0.0178,0.0273,0.0322,0.0304,0.0301,0.0313,0.0204,0.0249,0.0243,0.0279,0.0239,0.0203,0.0162,0.015,0.026,0.0183,0.0187,0.0211,0.0284,0.0348,0.0308,0.0294,0.0361,0.0289,0.0163,0.0217,0.0369,0.036,0.0386,0.0449,0.0198,0.0252,0.0408,0.0565,0.0289
+Guatemala,,,,,,,,,,,,0.00399,0.00333,0.00339,0.00356,0.00392,0.00421,0.00307,0.00363,0.00344,0.00286,0.00343,0.00463,0.00747,0.00549,0.00599,0.0146,0.0141,0.0149,0.0165,0.0165,0.0162,0.0133,0.0138,0.0143,0.0163,0.0157,0.0151,0.0167,0.018,0.0193,0.0164,0.0142,0.0132,0.0214,0.0257,0.0235,0.0208,0.0231,0.0154,0.0197,
+Haiti,,,,,,,,,,,,0.00048,0.00139,0.00146,0.00215,0.00288,0.00279,0.00248,0.003,0.003,0.00333,0.00368,0.00349,0.00278,0.00275,0.0029,0.00418,0.00411,0.00493,0.005,0.00551,0.00392,0.00372,0.00311,0.00259,0.00276,0.00291,0.0021,0.00315,0.0041,0.00281,0.00277,0.0025,0.00242,0.00243,0.00244,0.00246,0.00138,0.0016,0.0018,0.00152,
+Honduras,,,,,,,,,,,,0.00753,0.0092,0.0106,0.0114,0.0116,0.0116,0.0122,0.0163,0.0181,0.0185,0.0189,0.0188,0.018,0.0183,0.0266,0.0282,0.0335,0.0354,0.0361,0.0401,0.0396,0.0365,0.0366,0.0287,0.0258,0.0307,0.0307,0.0277,0.0301,0.0313,0.0258,0.0214,0.0226,0.0179,0.0215,0.0254,0.0266,0.027,0.0323,0.0336,
+Hungary,,,,,,0.00064,0.00085,0.00069,0.00075,0.00079,0.00073,0.0008,0.00091,0.00083,0.00066,0.00133,0.00134,0.00121,0.00111,0.00118,0.0009,0.00135,0.00128,0.00125,0.00147,0.00126,0.00126,0.00139,0.00139,0.00131,0.00147,0.00161,0.00131,0.00138,0.00134,0.00136,0.00173,0.0018,0.0013,0.00152,0.0015,0.00157,0.00164,0.00145,0.00174,0.00172,0.00159,0.0018,0.00183,0.00196,0.00162,0.00192
+Iceland,0.257,0.277,0.28,0.292,0.298,0.288,0.278,0.292,0.298,0.368,0.603,0.648,0.707,0.892,0.912,0.88,0.926,0.985,1.01,1.08,1.16,1.16,1.27,1.32,1.36,1.32,1.37,1.38,1.45,1.45,1.42,1.41,1.43,1.46,1.47,1.5,1.52,1.64,1.75,1.87,1.94,1.99,2.09,2.1,2.09,2.03,2.08,2.36,3.44,3.35,3.38,3.31
+India,,,,,,,,,,,,0.00425,0.00403,0.0042,0.00395,0.0046,0.0047,0.00501,0.00607,0.00572,0.00572,0.00595,0.00568,0.00573,0.00605,0.00559,0.00577,0.00498,0.00594,0.00624,0.00705,0.00702,0.0066,0.00653,0.00752,0.00647,0.00603,0.00642,0.00701,0.00671,0.00607,0.00592,0.00506,0.00586,0.00649,0.00767,0.00845,0.00883,0.00796,0.00742,0.00803,
+Indonesia,,,,,,,,,,,,0.00055,0.00046,0.00069,0.00072,0.00076,0.00068,0.00068,0.00083,0.00084,0.00077,0.00091,0.00072,0.00097,0.00111,0.00153,0.00252,0.00219,0.00255,0.00317,0.00266,0.00304,0.00398,0.0035,0.00267,0.00325,0.00347,0.00214,0.004,0.00384,0.00404,0.00464,0.0039,0.00353,0.0037,0.00406,0.0036,0.00417,0.00422,0.00412,0.00634,
+Iran,,,,,,,,,,,,0.00783,0.01,0.00788,0.00923,0.00903,0.0101,0.0104,0.0149,0.0125,0.0125,0.0134,0.0134,0.0124,0.011,0.0103,0.0134,0.0144,0.0121,0.0121,0.00953,0.0108,0.0144,0.0146,0.0109,0.0105,0.0104,0.00962,0.00959,0.00661,0.0048,0.00656,0.0103,0.014,0.0133,0.0198,0.0222,0.0216,0.00595,0.0085,0.0111,
+Iraq,,,,,,,,,,,,0.00166,0.00161,0.00226,0.00301,0.00336,0.00324,0.00387,0.00469,0.00664,0.00432,0.00372,0.00357,0.00349,0.00347,0.00339,0.00326,0.0138,0.0135,0.0132,0.0129,0.00433,0.00327,0.00271,0.00245,0.00242,0.00234,0.0023,0.00228,0.00225,0.0022,0.00216,0.00176,0.00144,0.00159,0.0189,0.0186,0.017,0.01,0.00903,0.0129,
+Ireland,0.0283,0.0224,0.02,0.0198,0.0236,0.0282,0.0254,0.0236,0.0227,0.0171,0.0233,0.0134,0.0193,0.018,0.0216,0.0141,0.0158,0.0196,0.018,0.021,0.0211,0.0215,0.0198,0.0192,0.0168,0.0203,0.0223,0.0165,0.0212,0.0169,0.017,0.0181,0.0198,0.0185,0.0221,0.017,0.0171,0.0159,0.0213,0.0194,0.0191,0.0133,0.0199,0.0128,0.0133,0.0131,0.0147,0.0134,0.0191,0.0176,0.0115,0.0134
+Israel,,,,,,,,,,,,,,,,,,,,,,0.00005,0.00004,0.00002,0.00004,0.00004,0.00012,0.0002,0.0002,0.00006,0.00006,0.00011,0.00052,0.00045,0.00038,0.0004,0.00038,0.00038,0.00037,0.00048,0.00044,0.00014,0.00029,0.00042,0.00037,0.00036,0.00019,0.00017,0.00019,0.00026,0.00034,0.00032
+Italy,0.0796,0.072,0.0667,0.0777,0.0657,0.0712,0.0725,0.0697,0.0698,0.0668,0.0651,0.0626,0.0658,0.0593,0.0593,0.064,0.0608,0.079,0.07,0.0705,0.0692,0.0656,0.0631,0.0629,0.0643,0.0622,0.0622,0.0598,0.0616,0.0515,0.0478,0.0639,0.0638,0.0626,0.0674,0.057,0.0635,0.0629,0.0623,0.0686,0.0667,0.0704,0.0591,0.0545,0.0625,0.0529,0.0538,0.0474,0.0598,0.0701,0.0726,0.0656
+Jamaica,,,,,,,,,,,,0.00571,0.0063,0.00435,0.00529,0.0056,0.00464,0.00455,0.00475,0.0047,0.00484,0.00496,0.00528,0.00577,0.00568,0.00561,0.00557,0.00461,0.00371,0.00464,0.0032,0.00347,0.00312,0.00256,0.00314,0.00335,0.00353,0.00377,0.00387,0.0039,0.00383,0.00198,0.00308,0.0038,0.00432,0.00487,0.00529,0.00508,0.00499,0.00441,0.00477,
+Japan,0.0544,0.0626,0.0569,0.0623,0.0614,0.0672,0.0693,0.0591,0.0625,0.0633,0.0625,0.0689,0.0686,0.0531,0.0649,0.0647,0.0642,0.0555,0.0528,0.0604,0.0655,0.0645,0.0596,0.0611,0.0516,0.0594,0.0576,0.0531,0.0639,0.0648,0.0628,0.0683,0.0576,0.0665,0.0466,0.0567,0.0555,0.0617,0.0635,0.0592,0.0597,0.0575,0.0562,0.0645,0.064,0.052,0.0595,0.0503,0.0519,0.0522,0.0559,0.0566
+Jordan,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00009,0.00054,0.00074,0.00045,0.00028,0.00017,0.00034,0.00047,0.00029,0.00035,0.00042,0.00032,0.00024,0.00025,0.00069,0.00075,0.00091,0.00069,0.00087,0.00092,0.0008,0.00093,0.00091,0.00084,0.00085,
+Kazakhstan,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0383,0.0375,0.0359,0.0403,0.049,0.045,0.0401,0.0361,0.0346,0.035,0.0433,0.0466,0.0513,0.0496,0.046,0.0445,0.0436,0.0454,0.041,0.0373,0.043,
+Kenya,,,,,,,,,,,,0.0025,0.00285,0.0028,0.00362,0.00414,0.00358,0.00443,0.00612,0.00718,0.0056,0.00722,0.00731,0.0082,0.00783,0.00882,0.00709,0.00777,0.00912,0.00937,0.00908,0.00983,0.0096,0.00996,0.0099,0.00992,0.0102,0.00968,0.00948,0.00687,0.00364,0.00644,0.00814,0.00829,0.00711,0.00731,0.00771,0.008,0.00637,0.00473,0.00727,
+Kyrgyz Republic,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.195,0.195,0.177,0.173,0.222,0.208,0.226,0.198,0.177,0.213,0.237,0.214,0.185,0.232,0.241,0.243,0.252,0.233,0.177,0.162,0.167,
+Latvia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.145,0.106,0.083,0.0962,0.112,0.101,0.0649,0.104,0.153,0.0987,0.102,0.103,0.0901,0.0835,0.115,0.124,0.101,0.103,0.118,0.131,0.134,
+Lebanon,,,,,,,,,,,,0.0285,0.0267,0.0154,0.0259,0.0249,0.0247,0.0246,0.0246,0.0262,0.0261,0.026,0.0198,0.0169,0.0175,0.0174,0.0167,0.0182,0.0179,0.0148,0.0146,0.0159,0.0198,0.0187,0.0209,0.0178,0.0194,0.0215,0.0185,0.00774,0.0103,0.00753,0.0151,0.0298,0.0241,0.0222,0.0146,0.0122,0.0077,0.0127,0.0171,
+Lithuania,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00963,0.00786,0.00725,0.0092,0.0106,0.00884,0.00778,0.00711,0.0101,0.0101,0.00835,0.00806,0.00879,0.00811,0.0106,0.0114,0.01,0.0107,0.0103,0.0109,0.014,
+Luxembourg,0.00548,0.0155,0.012,0.00053,0.0196,0.0257,0.0232,0.0249,0.0251,0.0217,0.0243,0.0138,0.0161,0.0115,0.0201,0.017,0.0109,0.0192,0.0187,0.0215,0.0231,0.0255,0.0224,0.0217,0.0216,0.0204,0.0233,0.0257,0.0253,0.0194,0.0158,0.0187,0.0154,0.0145,0.0184,0.0186,0.0125,0.017,0.0232,0.017,0.0245,0.0231,0.0192,0.0152,0.0198,0.0177,0.0205,0.0211,0.0233,0.0183,0.0183,0.0102
+"Macedonia, FYR",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0221,0.0379,0.0377,0.0231,0.0306,0.0351,0.037,0.039,0.0467,0.0597,0.0501,0.0267,0.0322,0.0583,0.0627,0.063,0.0694,0.0424,0.0352,0.0531,0.101,
+Malaysia,,,,,,,,,,,,0.00804,0.00866,0.00811,0.00719,0.00702,0.00647,0.00513,0.00584,0.00696,0.00868,0.00938,0.0088,0.00998,0.0192,0.0204,0.0216,0.0253,0.0284,0.0255,0.0188,0.0203,0.0195,0.0213,0.0278,0.0258,0.021,0.0153,0.0187,0.0283,0.0256,0.0253,0.0186,0.0173,0.0196,0.0171,0.0208,0.0206,0.0233,0.0214,0.0196,
+Mexico,,,,,,,,,,,,0.0231,0.024,0.0245,0.0246,0.0216,0.0239,0.0259,0.0214,0.023,0.0211,0.0301,0.0274,0.0244,0.0272,0.0296,0.0221,0.0199,0.0221,0.0253,0.0239,0.0219,0.0257,0.0253,0.019,0.0256,0.0288,0.0238,0.0218,0.0286,0.0285,0.0242,0.0209,0.0164,0.0206,0.0223,0.0242,0.0215,0.0305,0.0205,0.0281,0.0268
+Moldova,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00506,0.00686,0.00509,0.00737,0.00548,0.00642,0.00731,0.00769,0.00171,0.00188,0.00121,0.00155,0.00262,0.00141,0.00133,0.00144,0.00178,0.00077,0.00194,0.00131,0.0019,
+Montenegro,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.256,0.24,0.176,0.21,0.282,0.374,
+Morocco,,,,,,,,,,,,0.00832,0.00852,0.00621,0.00681,0.00505,0.00484,0.00646,0.00654,0.00713,0.00666,0.00438,0.00238,0.00195,0.00145,0.00187,0.00242,0.00304,0.00338,0.00409,0.00423,0.00418,0.00323,0.00146,0.00272,0.00195,0.00616,0.00646,0.00544,0.00249,0.00214,0.00257,0.00248,0.00421,0.0046,0.00277,0.0028,0.00254,0.00255,0.00698,0.00933,
+Mozambique,,,,,,,,,,,,0.00199,0.00185,0.00162,0.00555,0.00423,0.00482,0.00478,0.006,0.00309,0.00213,0.00039,0.00171,0.00156,0.00159,0.00242,0.00111,0.00116,0.00107,0.00183,0.0018,0.002,0.00195,0.00199,0.00204,0.00204,0.00235,0.00498,0.034,0.0373,0.0456,0.0545,0.0568,0.0474,0.0495,0.0549,0.0594,0.0633,0.0582,0.0638,0.0612,
+Myanmar,,,,,,,,,,,,0.00153,0.00171,0.00176,0.00169,0.00165,0.00182,0.002,0.00201,0.00206,0.00208,0.00221,0.00233,0.00245,0.00245,0.00239,0.00244,0.00235,0.00211,0.00276,0.00261,0.00267,0.00323,0.00358,0.00334,0.00331,0.00332,0.00334,0.00186,0.00201,0.00362,0.00346,0.00398,0.00389,0.00449,0.00556,0.00613,0.00663,0.00741,0.00949,0.00915,
+Namibia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0776,0.0653,0.0534,0.036,0.059,0.0432,0.0299,0.0473,0.0543,0.0599,0.0616,0.06,0.0665,0.0668,0.0642,0.0562,0.0623,0.0553,0.0548,0.0476,
+Nepal,,,,,,,,,,,,0.00047,0.00058,0.00055,0.00063,0.00048,0.00081,0.00085,0.00092,0.00099,0.00116,0.00136,0.00174,0.00189,0.00199,0.00217,0.00268,0.0027,0.00266,0.0033,0.00395,0.00396,0.0036,0.00364,0.00379,0.00462,0.00459,0.00402,0.00418,0.00509,0.00575,0.00636,0.00713,0.00744,0.00774,0.00793,0.00845,0.00843,0.00834,0.00906,0.0092,
+Netherlands,,,,,,,,,,,,,,,,,,,,,,,,,,0.00002,0.00002,0.00001,0.00001,0.00021,0.00049,0.0006,0.00068,0.00052,0.00056,0.00049,0.00044,0.00051,0.00061,0.00049,0.00077,0.00063,0.00059,0.00038,0.0005,0.00046,0.00056,0.00056,0.00053,0.00051,0.00054,0.00029
+New Zealand,0.202,0.213,0.238,0.235,0.261,0.284,0.304,0.32,0.329,0.319,0.347,0.393,0.419,0.412,0.401,0.471,0.413,0.402,0.445,0.512,0.517,0.531,0.485,0.54,0.533,0.518,0.569,0.573,0.598,0.567,0.587,0.571,0.518,0.567,0.613,0.644,0.606,0.533,0.575,0.516,0.544,0.477,0.54,0.505,0.568,0.485,0.484,0.48,0.449,0.482,0.486,0.488
+Nicaragua,,,,,,,,,,,,0.00706,0.0124,0.0121,0.0129,0.0126,0.0131,0.00782,0.00913,0.012,0.0136,0.0128,0.0107,0.00616,0.0056,0.00614,0.00666,0.00893,0.00844,0.0114,0.00841,0.00687,0.00511,0.00937,0.00726,0.00755,0.00783,0.00725,0.00518,0.00677,0.00356,0.00329,0.00499,0.00483,0.00515,0.00686,0.00482,0.00473,0.00815,0.00447,0.00749,
+Nigeria,,,,,,,,,,,,0.0023,0.00207,0.00259,0.0027,0.00316,0.00373,0.00359,0.0028,0.00387,0.00317,0.00265,0.00267,0.0021,0.00274,0.0031,0.00354,0.00313,0.00372,0.00374,0.00387,0.0051,0.00509,0.00457,0.00445,0.0043,0.0042,0.00417,0.00421,0.00438,0.00391,0.00401,0.00545,0.00481,0.00511,0.00478,0.00376,0.00364,0.00327,0.00252,0.00346,
+North Korea,,,,,,,,,,,,0.0538,0.0533,0.0529,0.0526,0.0524,0.0524,0.0525,0.0527,0.0528,0.0529,0.0528,0.0527,0.0526,0.0525,0.0565,0.0588,0.0607,0.0659,0.065,0.0666,0.063,0.0587,0.0541,0.0553,0.0561,0.0488,0.0413,0.039,0.039,0.0383,0.0395,0.0393,0.043,0.0456,0.0476,0.0454,0.0476,0.0501,0.0442,0.0474,
+Norway,0.75,0.803,0.898,0.933,1.03,1.14,1.12,1.21,1.36,1.28,1.28,1.39,1.47,1.58,1.65,1.66,1.75,1.53,1.71,1.87,1.76,1.95,1.93,2.2,2.2,2.12,1.99,2.12,2.23,2.41,2.46,2.22,2.34,2.38,2.21,2.4,2.04,2.14,2.24,2.34,2.71,2.29,2.45,1.99,2.04,2.52,2.2,2.43,2.5,2.23,2.07,2.11
+Pakistan,,,,,,,,,,,,0.00518,0.00504,0.0058,0.00536,0.00547,0.00662,0.00611,0.0085,0.00909,0.00931,0.00934,0.0095,0.011,0.012,0.011,0.012,0.0129,0.0136,0.0134,0.013,0.0137,0.0154,0.0138,0.0158,0.0157,0.0137,0.0141,0.014,0.0117,0.0102,0.011,0.0128,0.0151,0.0142,0.0167,0.017,0.015,0.0143,0.0142,0.0158,
+Panama,,,,,,,,,,,,0.0046,0.00447,0.00535,0.00542,0.00488,0.0067,0.0161,0.0332,0.0362,0.0424,0.0574,0.0452,0.0357,0.0601,0.0761,0.081,0.0769,0.0815,0.0792,0.0788,0.071,0.0646,0.0768,0.0784,0.0777,0.0945,0.0896,0.0647,0.0927,0.0994,0.0713,0.0953,0.0777,0.102,0.0989,0.0934,0.0941,0.1,0.0968,0.102,
+Paraguay,,,,,,,,,,,,0.00554,0.00633,0.00973,0.0139,0.0161,0.0159,0.0103,0.00705,0.0123,0.0177,0.0181,0.0164,0.0193,0.0245,0.0937,0.268,0.407,0.426,0.506,0.55,0.579,0.522,0.59,0.668,0.755,0.785,0.871,0.853,0.853,0.861,0.715,0.745,0.784,0.772,0.746,0.77,0.755,0.765,0.745,0.72,
+Peru,,,,,,,,,,,,0.0272,0.0273,0.0286,0.0304,0.031,0.032,0.0324,0.0324,0.0342,0.0349,0.0388,0.0398,0.0375,0.0393,0.0415,0.0435,0.046,0.0431,0.0425,0.0415,0.0447,0.0369,0.0442,0.0468,0.0463,0.0472,0.046,0.0473,0.0491,0.0537,0.0577,0.0584,0.0592,0.0553,0.0564,0.0608,0.0597,0.0578,0.0586,0.0592,
+Philippines,,,,,,,,,,,,,,0.00417,0.00511,0.00473,0.00571,0.00437,0.00542,0.00539,0.00643,0.00662,0.00652,0.00667,0.00863,0.00883,0.00932,0.00791,0.0092,0.00928,0.00846,0.00701,0.0059,0.00654,0.00745,0.00774,0.00853,0.0072,0.00588,0.00891,0.00867,0.00774,0.0075,0.00822,0.0088,0.00843,0.00981,0.0083,0.00939,0.00918,0.00719,
+Poland,0.00187,0.00176,0.00217,0.00184,0.00197,0.00248,0.00245,0.00259,0.0027,0.00216,0.00468,0.00411,0.00391,0.00375,0.00542,0.00504,0.00413,0.00486,0.00481,0.00441,0.00568,0.00511,0.00366,0.00393,0.00328,0.00428,0.00356,0.0038,0.00408,0.00365,0.0032,0.00321,0.00339,0.00334,0.00388,0.00423,0.00432,0.00439,0.00517,0.00483,0.00473,0.00522,0.00513,0.00376,0.00469,0.00496,0.0046,0.0053,0.00484,0.00534,0.00656,0.00523
+Portugal,0.0302,0.0332,0.034,0.0388,0.041,0.0384,0.0512,0.0536,0.0511,0.0625,0.0575,0.0608,0.0691,0.0705,0.0742,0.0599,0.0441,0.0906,0.097,0.0994,0.0704,0.0438,0.0601,0.0694,0.0843,0.0923,0.0735,0.0791,0.106,0.0504,0.0793,0.0782,0.04,0.0732,0.0909,0.0708,0.125,0.11,0.109,0.0609,0.0942,0.116,0.0643,0.129,0.0808,0.0386,0.0894,0.0818,0.055,0.0668,0.13,0.0929
+Romania,,,,,,,,,,,,0.0189,0.0305,0.0311,0.0346,0.0379,0.0325,0.0371,0.0418,0.0442,0.0489,0.049,0.0454,0.0383,0.043,0.0481,0.0407,0.042,0.055,0.0507,0.0423,0.0541,0.0436,0.0478,0.0492,0.0633,0.06,0.067,0.0726,0.0706,0.0573,0.0581,0.0627,0.052,0.065,0.0798,0.0727,0.0634,0.0685,0.062,0.0781,
+Russia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0962,0.0969,0.0992,0.1,0.101,0.101,0.0888,0.0909,0.0922,0.0937,0.0961,0.102,0.0959,0.0924,0.105,0.103,0.104,0.106,0.099,0.105,0.1,
+Senegal,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00166,0.00281,0.00238,0.00211,0.0018,0.00136,0.00167,0.0017,0.00172,
+Serbia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0851,0.101,0.0992,0.0904,0.0893,0.103,0.121,0.107,0.108,0.116,0.102,0.106,0.101,0.0851,0.0966,0.105,0.0959,0.0878,0.0836,0.092,0.104,
+Slovak Republic,,,,,,,,,,,,0.0279,0.029,0.0246,0.0409,0.0365,0.0364,0.043,0.0399,0.033,0.0391,0.0338,0.0294,0.031,0.0262,0.0354,0.0278,0.032,0.0289,0.0321,0.0307,0.0229,0.0313,0.0559,0.0699,0.0781,0.0675,0.0648,0.068,0.0712,0.0734,0.0784,0.0838,0.0553,0.0651,0.0736,0.0698,0.0705,0.0638,0.0689,0.0827,0.0579
+Slovenia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.132,0.16,0.151,0.134,0.149,0.142,0.16,0.135,0.15,0.162,0.166,0.164,0.143,0.128,0.176,0.149,0.154,0.14,0.171,0.2,0.191,0.15
+South Africa,,,,,,,,,,,,0.00042,0.00302,0.00347,0.00389,0.00375,0.00612,0.00619,0.00592,0.00347,0.00293,0.00477,0.00285,0.00163,0.0015,0.00163,0.00414,0.00403,0.00773,0.0066,0.00236,0.00452,0.00167,0.00032,0.00228,0.0011,0.00269,0.0042,0.00315,0.00141,0.00212,0.00376,0.00445,0.00129,0.00173,0.0024,0.00516,0.00163,0.0022,0.00251,0.00367,
+South Korea,,,,,,,,,,,,0.00354,0.00359,0.0033,0.00481,0.00417,0.00436,0.00334,0.00428,0.00543,0.00455,0.00612,0.00446,0.00596,0.00517,0.00777,0.00842,0.0111,0.00728,0.00927,0.0127,0.00691,0.00609,0.00825,0.00455,0.00531,0.00464,0.00535,0.00809,0.00782,0.0075,0.00772,0.00599,0.00904,0.00795,0.00671,0.00631,0.00657,0.00553,0.00504,0.00657,0.00839
+Spain,0.0442,0.0447,0.0445,0.0579,0.0559,0.0527,0.0722,0.0595,0.0634,0.0787,0.0707,0.0801,0.0883,0.0711,0.0744,0.0627,0.0498,0.0934,0.0939,0.107,0.0678,0.05,0.0596,0.0609,0.0706,0.0699,0.059,0.0609,0.0782,0.0429,0.0562,0.0602,0.0416,0.0535,0.0616,0.0504,0.0866,0.0755,0.0736,0.0492,0.0631,0.0865,0.0476,0.084,0.0637,0.0354,0.0506,0.0525,0.0448,0.0496,0.0789,0.0566
+Sri Lanka,,,,,,,,,,,,0.0056,0.00563,0.00457,0.00635,0.00686,0.00693,0.00744,0.00805,0.00847,0.00843,0.00882,0.0089,0.00664,0.0112,0.0127,0.0138,0.0112,0.0132,0.0141,0.0156,0.0153,0.0141,0.0182,0.0194,0.021,0.0152,0.0161,0.0182,0.0193,0.0147,0.0141,0.0121,0.0146,0.013,0.0149,0.0199,0.0167,0.0173,0.0162,0.0232,
+Sudan,,,,,,,,,,,,0.00174,0.00252,0.00286,0.00302,0.00316,0.00345,0.00314,0.00313,0.00331,0.00308,0.00307,0.00318,0.00318,0.00328,0.00338,0.0039,0.00393,0.00381,0.00374,0.00391,0.00413,0.00422,0.00412,0.00413,0.00349,0.00375,0.00359,0.00346,0.00392,0.00374,0.00392,0.00388,0.00343,0.00319,0.00355,0.00376,0.00388,0.00382,0.00828,0.00968,
+Sweden,0.357,0.418,0.44,0.427,0.482,0.516,0.502,0.539,0.528,0.45,0.444,0.553,0.569,0.632,0.603,0.605,0.574,0.558,0.6,0.633,0.609,0.618,0.569,0.656,0.701,0.731,0.625,0.734,0.711,0.725,0.728,0.631,0.737,0.735,0.578,0.663,0.503,0.671,0.729,0.696,0.763,0.766,0.641,0.515,0.576,0.693,0.584,0.621,0.643,0.608,0.609,0.604
+Switzerland,0.333,0.344,0.331,0.345,0.331,0.364,0.402,0.427,0.416,0.383,0.431,0.371,0.336,0.38,0.377,0.453,0.351,0.485,0.434,0.43,0.448,0.483,0.493,0.478,0.404,0.427,0.436,0.457,0.468,0.387,0.384,0.409,0.413,0.446,0.483,0.431,0.35,0.413,0.405,0.482,0.442,0.493,0.417,0.41,0.394,0.362,0.356,0.403,0.409,0.403,0.405,0.359
+Syria,,,,,,,,,,,,0.00067,0.00078,0.00021,0.00389,0.00855,0.0136,0.0189,0.0216,0.0235,0.0247,0.0248,0.0267,0.0244,0.0279,0.0272,0.0225,0.0218,0.0209,0.0199,0.019,0.0182,0.0174,0.0166,0.0159,0.0152,0.0151,0.015,0.0153,0.015,0.0174,0.0178,0.0124,0.0136,0.0199,0.0201,0.0179,0.0155,0.0125,0.008,0.0109,
+Tajikistan,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.268,0.26,0.248,0.263,0.252,0.217,0.217,0.198,0.202,0.217,0.195,0.196,0.207,0.222,0.22,0.226,0.22,0.223,0.203,0.2,0.198,
+Tanzania,,,,,,,,,,,,0.00189,0.0019,0.0017,0.00163,0.00232,0.00261,0.00263,0.00255,0.00249,0.00315,0.00322,0.00314,0.0031,0.00317,0.00348,0.00395,0.00426,0.0045,0.00494,0.00523,0.00564,0.00521,0.00518,0.00443,0.00442,0.00488,0.00397,0.00552,0.00561,0.00541,0.00641,0.00653,0.00596,0.00536,0.00394,0.00309,0.00526,0.0054,0.00519,0.00494,
+Thailand,,,,,,,,,,,,0.00463,0.0038,0.00402,0.00511,0.00689,0.0072,0.00631,0.00399,0.00604,0.00231,0.00528,0.00667,0.00625,0.00683,0.00607,0.00895,0.00645,0.00587,0.00851,0.00749,0.00683,0.00626,0.00543,0.00656,0.00967,0.0105,0.0102,0.00722,0.00487,0.0082,0.00848,0.00994,0.0096,0.00786,0.00747,0.0104,0.0103,0.00896,0.00895,0.00689,
+Togo,,,,,,,,,,,,0.00302,0.0022,0.00143,0.00281,0.00343,0.00269,0.00527,0.0058,0.00126,0.00122,0.00119,0.00172,0.00055,0.00107,0.00207,0.002,0.00194,0.00188,0.00229,0.00223,0.00443,0.00288,0.00507,0.00319,0.00537,0.00388,0.00184,0.00329,0.0019,0.00179,0.00086,0.00146,0.00203,0.00132,0.00118,0.00142,0.0014,0.00135,0.00137,0.00138,
+Tunisia,,,,,,,,,,,,0.00086,0.00087,0.00116,0.00034,0.00049,0.0008,0.00045,0.00041,0.00057,0.00032,0.00039,0.00048,0.00036,0.00079,0.00134,0.00062,0.00132,0.00054,0.00038,0.00048,0.00113,0.00069,0.00063,0.00039,0.00038,0.00064,0.00041,0.00067,0.00083,0.00058,0.00049,0.00057,0.00147,0.00135,0.00126,0.00079,0.00042,0.00025,0.00066,0.00041,
+Turkey,0.00306,0.00376,0.00326,0.00596,0.00456,0.00588,0.00617,0.00616,0.00803,0.00853,0.00735,0.00619,0.00744,0.00591,0.00745,0.0128,0.0178,0.0178,0.019,0.0205,0.0221,0.024,0.0264,0.0206,0.0239,0.021,0.0203,0.0312,0.0476,0.029,0.0368,0.0354,0.0408,0.0512,0.0454,0.0519,0.0582,0.0563,0.0588,0.0476,0.0417,0.032,0.0442,0.0458,0.0589,0.0499,0.0551,0.044,0.0403,0.043,0.0612,0.0608
+Turkmenistan,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0164,0.016,0.00009,0.00011,0.00008,0.00008,0.0001,0.0001,0.00012,0.0001,0.0001,0.00006,0.00006,0.00006,0.00005,0.00005,0.00005,0.00005,0.00005,0.00005,0.00005,
+Ukraine,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0175,0.0195,0.0131,0.0184,0.0203,0.0167,0.0146,0.0168,0.0271,0.0249,0.0198,0.0214,0.0172,0.0167,0.0214,0.0226,0.0238,0.0188,0.0213,0.0225,0.0249,
+United Kingdom,0.00516,0.00631,0.00611,0.00529,0.00571,0.0066,0.00632,0.00685,0.00554,0.00498,0.00693,0.00517,0.00521,0.00592,0.00622,0.00573,0.00564,0.00591,0.0061,0.00648,0.00594,0.00664,0.00691,0.00694,0.00607,0.00622,0.00724,0.00627,0.00745,0.00716,0.00783,0.00693,0.00812,0.00641,0.00757,0.00717,0.00502,0.00615,0.00752,0.00782,0.00743,0.0059,0.00694,0.00466,0.00695,0.00703,0.00652,0.00719,0.00725,0.00734,0.005,0.00784
+United States,0.068,0.0698,0.0765,0.0741,0.078,0.0845,0.084,0.0946,0.0937,0.105,0.103,0.107,0.109,0.106,0.12,0.119,0.111,0.0857,0.108,0.107,0.104,0.0976,0.115,0.122,0.117,0.101,0.104,0.0828,0.0722,0.0878,0.0927,0.0969,0.0847,0.0934,0.0858,0.101,0.112,0.105,0.0922,0.0856,0.0771,0.0567,0.0796,0.0822,0.0793,0.0789,0.0838,0.071,0.0724,0.077,0.0727,0.09
+Uruguay,,,,,,,,,,,,0.0448,0.0304,0.0474,0.0416,0.0344,0.037,0.0472,0.0488,0.0386,0.103,0.113,0.146,0.208,0.204,0.184,0.207,0.205,0.152,0.109,0.194,0.168,0.216,0.198,0.201,0.156,0.153,0.171,0.239,0.143,0.183,0.238,0.246,0.221,0.123,0.173,0.0929,0.208,0.116,0.135,0.221,
+Uzbekistan,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0279,0.0247,0.0251,0.0288,0.0274,0.0232,0.024,0.0209,0.0205,0.02,0.0204,0.0205,0.021,0.0257,0.0301,0.0286,0.0301,0.0208,0.0364,0.0296,0.034,
+Venezuela,,,,,,,,,,,,0.042,0.0453,0.0452,0.0541,0.0606,0.0692,0.0769,0.0746,0.084,0.0834,0.0838,0.0853,0.0949,0.103,0.113,0.122,0.145,0.157,0.155,0.162,0.19,0.197,0.193,0.204,0.201,0.206,0.214,0.213,0.218,0.222,0.209,0.203,0.202,0.23,0.249,0.259,0.259,0.266,0.259,0.228,
+Vietnam,,,,,,,,,,,,0.00115,0.00077,0.00075,0.00074,0.00086,0.00094,0.001,0.00132,0.00162,0.00237,0.00235,0.00238,0.00183,0.00233,0.00211,0.00196,0.00189,0.00239,0.00502,0.00688,0.00792,0.00888,0.00959,0.0109,0.0123,0.0138,0.0132,0.0124,0.0152,0.0159,0.0197,0.0194,0.0201,0.0186,0.0175,0.0209,0.0233,0.026,0.0297,0.027,
+Zambia,,,,,,,,,,,,0.0182,0.0603,0.0582,0.106,0.106,0.12,0.144,0.126,0.137,0.137,0.144,0.145,0.134,0.126,0.127,0.119,0.0955,0.0956,0.0727,0.087,0.0957,0.0677,0.0825,0.08,0.0759,0.0668,0.072,0.0669,0.0667,0.0653,0.0649,0.0651,0.0649,0.065,0.0666,0.072,0.0699,0.0671,0.0702,0.0741,
+Zimbabwe,,,,,,,,,,,,0.0387,0.0553,0.052,0.0691,0.0735,0.077,0.0787,0.0702,0.0733,0.0473,0.044,0.0386,0.0364,0.0307,0.0277,0.0222,0.01,0.024,0.0282,0.0359,0.0252,0.0247,0.0158,0.0157,0.0168,0.0156,0.0151,0.0135,0.0204,0.0224,0.0205,0.0261,0.0365,0.0377,0.0399,0.0294,0.0295,0.0243,0.0257,0.0278,

data/income_per_person_gdppercapita_ppp_inflation_adjusted.csv ADDED Viewed

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data/industry_percent_of_gdp.csv ADDED Viewed

	@@ -0,0 +1,190 @@

+geo,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017
+Afghanistan,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,23.4,22.4,25.9,26.5,27.9,26.6,26.7,21.8,21,22.6,21,20.4,21.1,22,21.7,
+Albania,,,,,,,,,,,,,,,,,,,,,45,43,43.8,43.3,44,43.3,44.2,45.8,46.3,44.8,48.2,42.7,23.3,22.9,21.7,22.5,14.4,14.2,11.6,12.6,14.8,16.4,17.5,20.5,21.6,22.1,22.9,21.8,25.2,24.4,24.9,24.5,22.9,23.1,21.5,21.8,21.1,21.1
+Algeria,29.4,29.5,31.7,40.8,42.7,42.2,46.5,47.8,47.7,47.8,47.9,43.7,51.2,57.1,55,46.4,50.1,50.9,49.2,50.8,53.8,52.6,51.9,51.2,50.7,49.3,43.9,42.1,41.4,41.9,44,48.2,45.9,45,44.9,45.8,47.1,48.2,42.3,45.4,54.4,50.1,49.2,50.8,52.3,57.3,58.9,57.7,58.6,47.9,50.5,49.6,47.8,44.3,42.3,35.7,34.9,36.3
+Andorra,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,14.1,14.5,14.9,15.4,15.7,15.8,16.1,15.5,15.5,14.4,13.5,12.4,11,10.3,9.91,9.78,9.84,
+Angola,,,,,,,,,,,,,,,,,,,,,,,,,,44.2,47.3,41.3,38.1,32.8,29.8,42.9,36.8,46.9,61.3,60.3,67.8,60.8,55.2,72.7,72.1,64.9,,,,,,,,,,,,,,,,
+Antigua and Barbuda,,,,,,,,,,,,,,,,,,11.5,10.4,11.6,13.1,13.3,10.4,10.2,10.9,11.7,13,13.8,14.2,15.3,13.9,14.6,13.5,12.7,12.5,12.7,12.2,12.5,12.7,13.5,13.8,12.9,13,13.2,13.1,14.5,18.5,17.8,19.2,19.5,16.1,14.5,14.1,15.5,15.8,16.1,17.5,18.2
+Argentina,,,,,,48.4,49.6,47.4,47,47.4,42.3,46,45.6,43.4,43.6,50.1,50.9,47.8,46.1,44,41.2,40.3,41.1,41.6,39.7,39.3,37.4,37.8,38.5,42.3,36,32.7,30.7,27.3,26.8,26.3,26.6,27.2,26.7,26.2,26,25.2,30.6,32.6,28.8,28.6,29.2,27.4,26.3,25.3,25.3,25.2,24.4,24,24.3,23.2,22.2,21.7
+Armenia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,47.8,46.6,36.2,25.8,35.8,30.8,30.8,30.5,27.9,29.5,35.4,32.9,35.2,38.2,37.7,41.4,40.9,39.5,38.6,32,32.9,30.1,27.8,26.7,25.3,25.7,25.6,25.3
+Australia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28.9,27.7,26.9,26.9,26.9,26.5,26.1,25.3,25.4,24.7,24.6,23.7,23.6,24.1,23.9,24.6,25.6,25.6,25.5,26.9,25.1,26.3,26.2,25,25.4,23.5,22.3,23
+Austria,,,,,,,,,,,,,,,,,34,33.6,33.8,32.9,32.9,32.5,31.8,31.3,30.1,30.4,30.3,29.8,29.5,29.3,29.6,29.5,29,28.3,28.4,28.9,28.8,28.7,28.5,28.4,28.3,28.2,27.4,27.5,27.4,27.1,27.3,27.6,27,25.8,25.5,25.4,25.6,25.5,25.4,25,24.7,25.3
+Azerbaijan,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,30,29.6,36.5,32.1,27.7,31,35.1,37,35,39.1,42.5,43.5,46.2,48.5,50.8,58.5,65.2,66.1,65.7,56.4,59.8,61.8,59.5,57.1,53.6,45,47.5,49.6
+Bahamas,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,15.4,14.2,15.7,15.4,13.1,14.6,13.8,14,12.7,12.7,11.6,12.1,9.54,10.6,10.9,10.3,10.8,11.7,9.26,10.4,10,11.5,12,13,13,13.9,11.1,12.3,13.3
+Bahrain,,,,,,,,,,,,,,,,,,,,,59.1,57.8,52.9,48.2,49,48.5,43.5,44,42,42.5,45.7,39.9,37.2,37.9,37.4,39.9,,,,,,,,,,,,45.9,50.4,43.1,45,49.5,47.5,47.9,46.5,40.3,39.4,41.5
+Bangladesh,6.97,6.79,7.96,7.8,10.4,10.7,10.3,8.1,9.26,9.19,8.73,7.68,6.06,12.1,13.4,11.6,14.4,16.7,14.3,15.7,20.1,19.8,20,20.9,21.4,20.3,20.4,19.6,19.9,19.8,20.1,21.1,21.7,22.9,23.5,23.6,21.7,21.9,22.7,22.4,22.3,22.6,22.8,22.5,22.8,23.3,24.1,24.5,24.7,25.3,25,25,25.3,26.3,26.3,26.8,27.3,27.8
+Barbados,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,18.6,17.5,15.3,14.7,14.4,14.6,14.6,15.7,15.3,15,15,14.4,14.1,15.4,14.8,14.6,16.1,15.2,15.8,15.6,14.2,14.5,14,14.2,13.9,13.9,12.7,
+Belarus,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,45.9,44.4,45.7,36,32.6,33.4,34.2,35.9,35.3,34,33.5,32.5,31.8,32.7,35,37.8,37.2,37,38.8,37.1,35.4,36.1,36.3,35.9,35.4,32.7,31,32.1
+Belgium,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,26.1,25.9,26.1,25.6,24.8,24.8,24.3,23.7,23.1,22.8,22.4,22.3,22.3,21.8,20.5,20.7,20.6,20.1,19.9,19.7,19.9,19.8,19.8
+Belize,,,,,,,,,,,,,,,,,,,22.8,20,27,24.2,21.3,21.4,23.8,21.9,21.2,23.9,24,23.5,19.3,18.9,18.4,18.5,17.3,17.4,17.7,17,16.8,16.3,18.5,17.8,17,15.1,15.2,15,17.6,18.1,19.3,18.8,18.8,19.7,17.6,16.6,16.2,14.2,14.1,14.3
+Benin,10.2,9.81,9.79,11.5,10.8,7.98,11.3,11.4,10.9,11.1,11.7,13.5,13.9,14.3,17.1,16.2,12.9,12.6,14,13.3,12.3,12.9,15.1,15.4,17.1,16.7,12.1,12.4,13.4,12.8,12.5,12,12.7,12.2,13.3,13.4,13.3,13.5,12.6,28.2,28.2,29.7,29,29,27.2,27.6,26.4,24.2,22,22.1,22.1,21.6,20.2,20.8,20.8,20.6,20.1,21.4
+Bhutan,,,,,,,,,,,,,,,,,,,,,11.5,17.1,19,21,21.3,19.4,19.8,25.6,22.6,23.4,24.2,25.1,26.9,28.8,28.7,32.6,32.7,32.5,31.7,34.4,35.2,37.1,37.4,38.1,36.3,35.9,37.7,44.1,43.2,42,42.8,41,41.6,42.4,40.6,41.3,41.5,39
+Bolivia,,,,,,,,,,,31,29.7,33.3,35.1,36.4,31.3,31.9,32.9,33.1,32.6,28.9,29.3,31.7,33.6,31.6,32.2,32.5,30.4,31.2,31.5,31.9,30.6,30.2,28.6,28.1,29.1,28,26.4,26.1,25.1,25.7,25.4,25.5,25.6,26.8,26.3,27.7,28.3,29.7,29.2,30.1,30.4,29.3,28.5,27.6,25.2,25.3,26.4
+Bosnia and Herzegovina,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,25.9,25.7,25.7,25.2,27.4,24.4,19.4,19.1,17.8,19.2,20.5,21.3,20.9,21.7,23.2,22.8,22.4,22.1,21.5,22.2,22.1,22.5,23.2,23.4
+Botswana,13.3,12.3,11.4,10.6,13.5,19.2,14.4,15,12.4,19.5,27.6,27.6,27.6,26.9,27.9,31,31.8,32.5,37.4,42.7,43.9,41,43.3,47.7,51.6,56.8,57.9,58,61.9,61.4,56.9,53.5,49.7,47.9,43.3,43.9,45.4,45.7,43.5,44.8,46.3,44.8,44,39.6,38.8,42.9,43.6,41.8,36.5,28.2,31.9,34.3,29.2,31.5,33.1,30,32.1,30.3
+Brazil,31.8,36.6,29.8,34.8,32,29.9,29.8,29.2,30.7,31.3,32.2,32.7,32.7,33.4,34.8,35.5,35,34.1,35.5,36.5,39.6,39.2,41,39.5,41.7,41.2,40.2,41.3,39.4,42.3,32.8,31.5,34,36.1,34.7,23.4,22.3,22.6,22.1,21.7,23,22.6,22.5,23.1,24.3,24.2,23.5,23.1,23.1,21.9,23.3,23.1,22.1,21.2,20.5,19.4,18.3,18.5
+Brunei,,,,,,,,,,,,,,,90.5,89.5,90.5,84.8,80.6,84.2,84.8,81.8,79.7,77.3,73.5,71.8,58.8,59.5,52.3,59.8,61.6,59.6,60.4,57.2,53.8,54.3,56.3,56,51.5,55.2,63.7,60,60.7,64.1,67.9,71.6,73.2,71.3,74.1,65.4,68.7,73.7,72.7,70,67.8,61.4,57.3,59.7
+Bulgaria,,,,,,,,,,,,,,,,,,,,,53.8,51.9,57.9,60.3,60,62.5,64,61.5,61,59.4,51.3,39.8,39.1,32.7,29.9,25.2,19.2,21.6,22,22.3,22.7,23.8,23.9,24.1,22.9,24.2,25.2,26.2,24.9,26.4,23.8,25.6,25,23.8,23.6,24.1,24.4,24.5
+Burkina Faso,19.9,19.9,19.4,20.6,20.1,18.7,19,22.1,22.7,22.4,22.3,24.2,23.3,26.2,23,25.9,26.5,21.3,21.5,20.7,19.8,18.8,18.8,20.4,20,19.2,20.7,22.5,21.5,22.1,20.4,19.3,20.3,19.9,20.4,19.9,18.5,19.7,17.9,23.4,20.2,17.3,16.3,19.6,19.4,16.3,16.4,17.4,14.9,17.6,21,24.7,22.4,18.8,19.8,19,20.8,21.4
+Burundi,,,,,,,,,,,9.4,9.76,10.8,11.6,12.1,12.6,11.7,12.2,14.3,14.7,11.7,12.7,14.3,14.5,12.6,11.8,12.1,15.7,14.8,17.3,17.3,17.5,19,20.1,19.6,16.8,11.8,13.9,14.7,16.1,15.5,15.6,15.8,15.7,16.3,16.9,15.3,16.6,14.7,15.2,15.3,15.5,15.4,16.2,16.6,15.1,15.1,
+Cambodia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,12.6,13.7,14.3,15,16.4,16.7,18,21.7,22.3,24.3,25,25.6,25,26.2,24.9,22.4,21.7,21.9,22.1,23,24.1,25.6,27.7,29.5,30.9
+Cameroon,,,,,,20.3,20.7,20.1,19.5,19.4,18.6,19.2,18.9,18.6,17.9,18.2,19,18.4,16,20.6,23.5,27.6,30.2,33.1,34.6,34.3,32.5,29.1,28.3,29,28.8,28.9,25.1,28.5,29,25.8,26.5,26.4,26.6,27.5,29.9,26.1,26.9,26.9,26.7,28.1,29.7,28.6,29.7,27,27.2,27.2,28.1,27.6,27.1,25.2,24.5,24
+Canada,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,29.1,29.7,25.4,26.7,27.5,27,27,27.5,,,
+Cape Verde,,,,,,,,,,,,,,,,,,,,,17,17.4,15.8,17.3,17.6,18,17.8,18.7,19.3,20.8,30.1,30.3,32.4,22.5,30.6,28.3,28.9,26.2,26.4,23.4,21.7,19.2,19.1,18.5,18.2,19.2,19.1,16.9,18.8,19.3,18.1,17.8,17,17.5,18.7,18.1,17.4,18.5
+Central African Republic,,,,,,14.6,20.4,22.6,23.8,24.8,23.3,24,24.3,23.3,22.3,21.3,19,18.4,20.9,21.6,18.9,17.8,12.3,13.9,14,14.6,12.6,14.5,15.9,18,18.7,19.9,19.7,20.7,21,20.1,16.2,13.7,13.4,13.5,13.9,13.7,13.3,13.1,13.3,13.6,13.6,13.6,12.6,12.8,12.8,13.1,13,15.9,16,15.5,15.1,15.4
+Chad,9.19,9.78,8.87,9.38,9.87,11.2,12.4,12.8,13.9,12.8,12.6,12.6,12.9,14.8,15,15,14.9,13.7,13.2,10.5,9.04,11.9,12.5,13.2,15.5,12.7,14.6,14,12.9,15.9,16.9,12.9,13,13.6,11.7,13.3,12.4,13.7,12.9,12.2,10.9,13.1,14.3,23.4,46,9.24,10,9.71,10.5,13.2,12,12.6,12.9,13.3,14.5,13.6,14.6,14.6
+Chile,33.8,33.8,35.8,37.7,38.4,38,37.4,37.9,39.4,40.7,39.5,36.9,35.9,39,46.7,36.1,38.1,34.6,34.7,35.5,35.4,34.7,33.5,36.9,37.8,33.9,33.2,33.7,38.2,36.8,35.9,34.2,32.1,31.6,32.7,33.8,34.3,33.8,30.9,30.6,31.4,31.8,32,33.4,36,36.9,41.1,39.9,34.2,34.4,35.7,34.7,32.5,31.2,30.8,29.7,28.9,30
+China,44.4,31.9,31.3,33.1,35.3,35.1,37.9,33.9,31.1,35.4,40.3,41.9,42.8,42.8,42.4,45.4,45,46.7,47.7,47,48.1,46,44.6,44.2,42.9,42.7,43.5,43.3,43.5,42.5,41,41.5,43.1,46.2,46.2,46.8,47.1,47.1,45.8,45.4,45.5,44.8,44.5,45.6,45.9,47,47.6,46.9,46.9,45.9,46.4,46.4,45.3,44,43.1,40.9,39.9,40.5
+Colombia,,,,,,26.9,26.4,26.8,26.6,26.9,27.6,27.7,28.8,30.5,30,29.2,30.8,30.3,30,29.5,31.6,30.6,30.9,31.5,33.3,34.6,36.2,34.7,36.2,36.9,36.7,36.3,34.2,35.2,29,29.1,28.4,27,26.3,26.6,27.3,27.2,27.5,28.9,29.7,30,30.8,30.6,32.4,31.7,32,34.3,34.6,34.2,32.7,30.5,29.7,29.2
+Comoros,,,,,,,,,,,,,,,,,,,,,13.2,12.6,14.1,14.2,15.3,14.1,12.9,10.6,9.38,8.31,8.26,9.37,11.4,12,13.6,11.9,11.9,11.9,11.9,11.9,11.2,11.9,11.8,11.8,11.8,11.8,11.7,10.9,12.5,11.8,11.8,11.4,11.3,11.1,10.9,10.8,,
+"Congo, Dem. Rep.",,,,,,32.3,30.4,30.4,34,38.7,41.4,38,34.6,39.3,40,34.7,29.3,25,24.3,26.1,33.1,32.1,26.7,25.8,27.9,29.2,24.8,27.6,29.3,30.7,28.2,20,16.4,16.4,15.9,16.9,32.4,21.3,20.4,18.7,22.4,30,32.6,28.9,31.8,31.8,29.7,30.2,33.2,33,38.7,40.9,40.3,41.3,43,41.7,41.2,41.6
+"Congo, Rep.",17,18,17.9,17.8,17.8,18.9,19.7,19.9,19.3,19.4,23.9,21.9,21.3,22.1,25.4,32.4,37.6,31.6,29.5,36.4,46.6,50.9,52.6,54.3,56.6,53.9,32.6,35.8,29.9,38,40.6,36,35.5,35.3,45.5,44.9,51.8,56.9,46.1,61.3,72.2,65.5,63.3,61.2,65.9,71.9,75.5,73.2,77.4,71.1,75.4,76.6,74.8,72,69.4,54.7,50.2,54.3
+Costa Rica,19.7,20.2,20.4,21.4,21.7,23,22.9,23.1,24,23.9,24.2,25.5,26.1,26.7,27.6,27.4,27.4,26.2,26.1,26.5,27,26.6,25.7,28.7,30,29.5,28.4,28,28.4,28.6,27,27.5,28,27.5,26.7,26.7,26.1,26.2,26.1,25.8,25.6,25.3,24.7,24.3,24.8,24.4,23.8,24,23.7,23.6,23.2,22.3,21.9,20.8,20.2,19.4,18.9,18.6
+Cote d'Ivoire,13.1,13.9,14,14.7,16.1,15.9,17.9,18.9,16.3,15.4,18.5,19.7,19.7,17.7,16.1,17,16.4,15.2,16.5,17.1,19.7,18.6,21.3,21.5,19.5,19.7,21.3,22.4,22.7,21.8,26.3,24.6,24.4,22.8,21,20.8,20.4,23.7,22.8,21.9,21.5,21.3,21.1,21.1,22,22.8,23.5,23.3,24.4,25,22.4,24.2,23.8,26,27.4,25.8,27.5,27.4
+Croatia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,26.9,26.1,26.9,25.3,24.4,24.4,24,23.6,24.2,25.2,24.6,24.3,23.9,23.8,23.9,23.1,23.3,23,22.5,22.5,22.3,22.1,21.8
+Cuba,,,,,,,,,,,16.9,16.9,16.9,16.9,16.9,16.9,16.9,16.9,16.9,16.9,17,17,16.9,16.8,16.9,17.2,17.3,16.2,16.6,17.1,17.4,17,16.8,16.3,16.9,18,26.7,27.6,25.9,25.4,25.5,24.9,23.7,22.5,22,21.5,22.2,22.5,22.4,22.6,22.9,22.3,23.4,23.2,22.2,22.4,,
+Cyprus,,,,,,,,,,,,,,,,25.2,28.8,31,33.1,33.2,33.6,32.4,30.9,30.1,29,28.5,27.6,27.5,27.5,26.6,25.9,26.7,25.6,24.7,23.2,20.1,20.1,19.7,19.2,18.5,17.7,17.4,17.9,18,18.1,17.9,17.8,18.2,17.9,16,14.7,12.7,11.4,10,9.38,9.75,9.92,
+Czech Republic,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,34.8,34.8,35.3,36.7,36.2,35.2,34.1,33.9,34.3,33.3,32.6,34.1,34.1,34.7,34.6,34.2,33.2,33.3,33.4,33.2,32.9,34.2,34,33.8,33.5
+Denmark,,,,,,,,,,,26.4,26.2,25.9,25.3,25.1,24.9,23.8,23.5,22.8,22,23.3,22.2,22.2,22.3,22.6,22.8,22.7,22.8,22.6,22.7,22.6,22.4,22.5,21.6,21.6,22.1,22.3,22.5,22.3,22.6,23.7,22.9,22.7,22.2,22.1,22.2,22.8,22.2,22.6,20,19.7,20.3,20.4,20.1,19.8,19.7,20.3,19.9
+Djibouti,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,17.4,17.5,16.8,15.7,15.5
+Dominica,,,,,,,,,,,,,,,,,,13,12.8,12.6,16.9,16.6,16.9,15.3,14.6,13.7,12.3,12.4,13.7,15,15.1,15.4,17,17.3,16.8,17.7,17.8,18,18.6,18.7,15.7,15.3,15.3,13.3,13,12.8,13.2,13.4,12.7,11.4,11.7,12.8,12.8,12.2,12.4,11.3,11.5,11.5
+Dominican Republic,,,,,,21.9,25.1,27.3,25.8,26.6,26.1,27,27.6,28.1,28.5,31.6,31.3,29.5,29,30,28.3,27.6,28.6,29,28.3,18.1,23.7,20.7,25.4,31.9,31.4,32.4,30.7,30.5,31,30.4,31.6,30,30.4,30.8,29.6,27.4,28.9,29.2,29.5,28.1,29,28.6,27.7,25.9,25.8,26.1,25.8,26.6,27.1,25.7,24.4,24.8
+Ecuador,19.9,20.6,20.5,20.8,22,14.9,16,15.4,16.8,17.5,20.4,21.9,21.6,21.2,23.9,23.1,25.5,25.9,25.5,26.9,25.3,25.8,26.7,26.1,28,27.7,25.9,25.8,28.3,27.7,28.6,29,30.1,26.4,25.5,24.7,24.4,23.5,23.2,25.9,33.6,29,28.8,28,29.7,31.5,33.9,34.5,37.9,32.4,34.7,37.6,37.8,37.1,36.8,31.9,32.3,31.4
+Egypt,,,,,,23.9,23.8,23.3,23.5,23.9,24.2,24.3,23.7,22.4,24.2,26.1,24,24.6,26.4,34.1,35.1,36.1,31.4,28.8,28.2,27.5,25.3,25.9,27.4,26.7,27.3,32.5,31.4,31.1,30.5,30.2,29.5,29,28.6,28.4,30.8,30.9,32.6,33.4,34.7,34.1,36.2,35.1,36.2,35.8,35.8,36,39.3,39.9,39.9,36.6,32.5,33.8
+El Salvador,,,,,,23.1,24.8,24.7,24.6,25,24.3,24.8,25.6,24.3,25.1,26.5,24,22.9,25,23.7,21.9,22.5,22.2,22.3,22.6,23.4,22.7,25.6,25.4,26.5,23.3,23,24.9,26.3,26.2,25.5,25.4,25.2,26.2,26.9,26.9,27.1,27.3,27,25.6,24.5,24.5,24.5,25.9,25,25.3,26.2,26.6,26.1,25.8,24.4,24.1,24.8
+Equatorial Guinea,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,82.9,81.3,84.3,75.3,74.7,78.1,77.3,72.4,70.2,59.1,52,55.9
+Eritrea,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,10.8,13.6,12.8,15.1,18.9,21,19.3,20.9,19.2,18.5,19.2,19.7,19.6,20.5,18.2,19.2,25.9,21.8,,,,,,,,
+Estonia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28.1,26.7,26.5,25.4,23.9,24.8,25.4,25.6,26.1,25.5,26.4,26.9,27.1,26.3,23.4,24.5,25.6,25.1,25.2,24.9,24,23.1,23.5
+Ethiopia,,,,,,,,,,,,,,,,,,,,,,8.74,8.83,8.48,10.1,9.17,9.7,11,10.3,10.3,9.3,7.28,6.09,7.45,8.18,9.29,9.78,12.2,11.6,12.2,11.4,11.9,12.7,12.9,12.7,11.8,11.6,11.6,10.2,9.68,9.44,9.66,9.48,10.9,13.5,16.3,22.1,22.9
+Fiji,,,,22.9,23.7,22.7,22.5,23.1,22.7,21.2,20.8,18.8,20.1,19.7,20.2,20.4,20.5,19,18,19.7,20.2,19.2,19.5,17.8,17,17.4,18.2,19.3,19.6,21.4,21.1,21.5,22,22.3,22,20.8,20.8,21.3,20.9,19,19.5,20.5,19.8,18.5,19.6,16.3,16,15.4,16.1,16.7,17,17.4,16.7,16.3,15.1,14.9,14.3,
+Finland,,,,,,,,,,,,,,,,35.5,34,33.5,33.6,34.3,34,33.6,32.7,32.6,32,30.9,30.1,30.5,30.1,30.4,29.2,26.5,26.2,26.9,28.2,29.5,28.8,29,30.6,30.4,31.6,31,30.1,29.6,29.4,29.3,30.3,30.7,29.6,25.8,26.2,25,23.3,23.3,23.1,23.3,23.4,24
+France,29.8,30,29.5,29.2,29.7,29.9,29.7,29.4,29.1,28.8,29,29.5,28.9,29.2,28.8,28.6,28.2,28.1,28,27.6,27.8,27.1,26.4,26.2,25.8,25.6,25.5,25.1,25,24.4,24.5,24.3,24,23.1,22.2,22.3,21.7,21.5,21.4,21.2,21.3,20.9,20.6,20.2,20,19.6,19.3,19.1,18.8,18.3,17.8,18,17.9,18,17.7,17.7,17.6,17.4
+Gabon,33.9,31.6,30.6,38.1,30.8,33.9,34.9,37.9,45.5,45.6,47.6,45.6,51.2,47.9,63.4,62.3,62.4,58.3,57.8,61.8,60.4,58.4,60.6,56.8,59.7,66.5,47.5,48.8,35.9,41.7,43,44.6,43.3,45.2,52.6,52.4,55.4,53.7,43.1,48.8,56.3,47.7,47.3,47,51.5,59.9,59.5,57.2,61.7,50.4,55.2,60.9,58.8,56.6,52.7,45.6,44.9,
+Gambia,,,,,,,8.3,8.34,8.34,8.34,8.21,8.21,8.28,8.24,8.3,8.91,9.61,9.55,10.6,11.6,13,12.5,9.55,10.9,16.6,13.6,11.3,10.8,9.49,10.4,11,15.4,15.2,15.2,14.6,14.9,20.7,15.6,16.1,15.6,14.8,14.8,15.8,14.8,13.6,14.1,14.5,13.7,13.5,12.5,12.3,13.5,13,12.7,12.9,13.5,12.8,12.2
+Georgia,,,,,,,,,,,,,,,,,,,,,32.7,33.3,35.4,34.1,33.3,36.9,34.3,35.2,34.7,36.1,31.3,34.4,23.7,21.8,10.1,15.6,23,22.2,21.8,21.2,21,20.5,22.7,24.1,24.2,23.8,21.7,20.9,18.9,18.9,19.3,20.5,21.1,20.9,20.6,21.3,21.5,22.1
+Germany,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,33.6,32.6,30.7,30.3,29.8,28.9,28.6,28.4,27.8,27.9,27.2,26.6,26.4,26.7,26.6,27.3,27.5,27,24.9,27.1,27.5,27.6,27.1,27.4,27.5,27.5,27.6
+Ghana,,,,,,18.6,18.4,20.5,20.4,19.1,18.2,18.3,17.7,18.6,18.1,21,19.2,15.8,12,12.3,11.9,9.16,6.25,6.63,10.6,16.7,17.2,16.3,16.6,16.7,16.8,17,17.4,24.8,24.9,24.3,23.6,25.7,25.3,25.4,25.4,25.2,25.3,25.2,24.7,25.1,19.8,19.5,19.4,18.5,18,23.9,27.1,26.9,25.4,23.6,22.7,23.7
+Greece,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,19.6,18.9,17.9,18.2,19.1,18.7,19.3,19.4,20.5,20.3,17.8,20,18,15.7,15.3,13.8,13.7,14.3,14.7,14.1,13.8,14.2,14.8
+Grenada,,,,,,,,,,,,,,,,,,10.8,10.5,11.2,10.2,11.7,13.7,13,12.5,12.8,13.4,14.2,14.4,13.4,13.3,15.3,15.3,14.9,15.5,15.9,15.6,16.2,16.6,17.4,17.9,16.5,16.6,17,16.7,22.9,19.4,18.8,17.6,14.7,14.7,13.3,12.3,13.4,12.8,12.3,12.2,13.2
+Guatemala,,,,,,17,17.8,18.6,18.7,19.1,18.7,18.8,18.8,19.2,18.7,18.5,20.1,20.9,21.2,21.5,22,21.7,21.2,20.5,19.8,19.7,20.1,19.8,20.2,20.1,19.8,19.6,20,19.9,19.7,19.7,19.7,20,20,20.1,19.8,26.9,26.7,27,27.4,27.1,27.8,27.4,27.7,27.1,27.1,27.5,27.7,27.3,27.3,26.5,26,25.3
+Guinea,,,,,,,,,,,,,,,,,,,,,,,,,,,34.4,34.4,33.4,33.2,34.6,30.6,26.9,28.4,25.1,28.1,29.7,28.8,30.9,28.9,31.4,31.8,31.3,31.7,30.5,32.1,34.3,30.8,32.9,32.3,32.3,32.6,31.6,29.6,29.7,26.3,31,32.8
+Guinea-Bissau,,,,,,,,,,,21.2,22.1,22.5,24.4,25.5,25.4,15.5,22.6,20,19.9,18.7,15.9,14.4,11.5,14.4,15.6,19.8,12.3,13.5,16.4,17.4,9.25,10.4,9.67,10.9,11.5,10.9,15,12.5,12.1,14.1,14.2,16.2,17.5,15.6,14.4,14,13.2,13.9,13.4,13.1,12.4,13.5,14.4,14.4,12.3,12.6,12.6
+Guyana,27.9,28.1,31.8,29.6,31.6,31.4,31.7,32.5,34.5,34.9,35.3,33.8,32.8,29.7,30.1,31.7,32.1,32.4,30.8,30.2,31.7,25.8,25,18.6,20.6,20.7,22.9,26,25.8,25.9,21.9,28.6,25.4,30.7,30.9,27.3,28.1,28.4,25.8,25.5,24.1,24.9,24.4,23.3,22.6,16.7,27,28.6,30.9,30.1,31.1,31.8,32.3,31.3,29.7,29.9,36.4,35.4
+Haiti,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,25.8,22.8,24,22.1,30.3,34.7,31.8,34.6,32.9,31.8,30.3,30.8,35.9,27.4,34.8,33.8,37,49.6,50.1,43.6,50.7,55.2,55.3,55.9,57,56.7,56.8
+Honduras,17.1,16.7,17.8,18,17.8,17.4,17.1,18.9,19.6,20.1,20.1,20.5,20.5,21.8,22.9,22.5,20.8,20.3,21.6,21.7,21.8,20.5,22,22.8,23.1,21.2,21,20.4,21.4,22.1,23.5,23.4,25.4,25.9,24.7,26.7,26.5,25.9,26.2,27.6,29.4,27.7,27.3,27.4,26.5,26.2,26.8,26.2,25.9,26,25.6,25.8,26.1,25.4,24.5,25.6,25.7,26.2
+Hungary,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,25.8,25.5,27.9,28.2,27.7,27,27.1,26.7,26.1,26.5,26.9,27.1,26.6,25.7,25.1,25.3,25.4,25.3,25.2,25.8,26.6,25.8,26.4
+Iceland,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,24.9,24,22.4,22.5,24.2,22,21,21.3,20.7,22.2,20.2,23.1,19.8,21.9,22.1,20.9,20.8,19.9,19.5,19.7,
+India,21.8,22.4,23.1,22.9,21.9,22.7,22.4,21,21.6,22.4,22.7,23.4,23.4,22.3,23.7,24.2,25.5,25.5,26.4,27.1,26.4,27.2,27.3,27.4,27.9,27.7,27.8,27.8,27.8,28.7,28.6,27.5,27.9,27.8,28.7,29.7,29,28.9,28.3,27.6,28.4,27.6,28.8,28.6,30.4,30.7,31.6,31.7,31.7,31.1,30.1,30.2,29.4,28.4,27.7,27.2,26.6,26.2
+Indonesia,,,,,,,,,,,,,,,,,,,,,,,,41.9,40.4,36.7,33.8,36.3,36.2,37.1,39.4,41.2,40,39.7,40.6,41.8,43.5,44.3,45.2,43.4,42,47.9,47.7,43.7,44.6,46.5,46.9,46.8,48.1,47.7,42.8,43.9,43.6,42.6,41.9,40,39.3,39.4
+Iran,25.7,27.8,29.5,30.9,31.4,32.8,33.6,35.2,36.3,38.5,40.6,43.1,43.4,53.6,62.3,56.7,57.2,53.3,45.7,45.8,35.2,34.7,40.5,38.1,34.4,30.6,24.9,25,24.8,26.1,32.8,33.4,33.5,42,43.4,39.4,42.1,38.7,32.5,37.5,40.3,39.9,45.5,45.1,47.5,49.6,48.3,48.2,47.7,43.1,44.2,47.9,43.3,42.9,39.6,33,33.9,21.2
+Iraq,,,,,,,,,46.7,46.1,46.1,50.3,44.3,51.8,70.4,68.1,70.8,69.1,68.9,75.3,74,52.5,49.4,47.3,44.9,43.8,37.7,42,41.9,40.6,72.3,51,52.2,57.9,55.9,64.9,58.4,75,70.1,79.6,84.8,77.4,74.2,70.8,61.8,63.6,61.4,60.1,62.8,52,55.8,62.5,60.6,57.7,56.5,41.5,37.3,41.8
+Ireland,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28.9,28.2,29.7,31.3,31.4,31.5,34.1,35.1,32.2,30.8,30.1,30,28.5,25.8,25.5,23.6,25.5,25.3,25.2,25.3,38.4,36.4,
+Israel,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,23,23.2,23.3,22.7,22.2,22.1,20.5,20.2,20.5,20.3,20.6,21.4,21.2,20.7,20.2,20.4,19.6,20,19.8,19.6,18.8,18.7,
+Italy,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28,27.1,26.6,26.3,26.3,26.3,25.9,25.5,25.3,24.7,24.3,24.2,24,23.5,23.5,23.3,23.4,23.8,23.6,21.9,21.9,21.7,21.4,21.3,21,21.2,21.4,21.4
+Jamaica,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28.4,28.2,27.5,25.5,24.3,23,23,22.6,22.3,21.3,21.5,22.3,21.9,21.2,21.3,19.7,18.1,18,18.2,18,18,18.3,19.2,19,19.5
+Japan,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,34.7,34.4,34.5,34.1,33.5,33,32.8,31.3,30.5,30.4,30.3,30.2,30,29.9,29,27.3,28.4,26.9,26.7,26.9,27.7,28.9,29.3,
+Jordan,,,,,,17.7,18.4,15.2,21.6,18.8,17.6,16.4,18.5,22.3,16.3,20.8,19.4,19.8,20.2,21.6,22,24.7,25.5,24.1,25,22.1,23,22.9,21,22.9,23.4,21.7,23.8,23.6,24.7,24.7,22,22.4,22.3,21.8,21.9,22.1,23.3,23.6,25.4,24.9,25.4,28.2,30.3,28.5,26.9,27.3,26.4,26.1,26.2,26.1,25.5,25.4
+Kazakhstan,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,39,37,38.7,30,25.6,25.6,29.3,33,37.8,36.1,35.8,35.1,35.4,37.6,39.4,37.7,40.3,38.4,40.6,37.3,36.3,33.7,33.2,30.9,32,32
+Kenya,16.9,17.1,15.4,14,15.5,16.7,16.3,17.5,17.7,18,18,18.3,18.7,18.6,18.3,17.9,16.4,15.9,17.4,17.3,17.8,17.4,17.3,16.9,16.4,16.7,16.2,15.9,16.8,16.4,16.3,17,15.8,14.4,14.6,13.6,16.4,15.9,15.5,14.9,15,15.3,15.5,15.6,16.2,17,19.4,19.3,18.6,18.7,18.5,18.9,18.6,18,17.4,17.3,17.5,17.5
+Kiribati,,,,,,,,,,,,,,,,,,,53.7,45.1,6.21,6.59,6.1,6.34,3.54,4.3,4.86,5.05,3.62,4.25,4.54,11.2,9.04,9.56,8.67,8.68,8.23,7.62,10.4,11.6,10.5,10.5,9.2,8.83,7.95,6.75,7.35,7.54,7.9,7.77,7.64,5.82,5.51,6.71,,,,
+Kuwait,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,66.1,72.7,74.8,73.1,70.5,55.9,51.6,
+Kyrgyz Republic,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,34.1,33.8,36.1,30.5,23.9,18.1,17,21.1,20.8,23.1,29.2,26.8,21.3,20.2,21.7,20,17.6,16.7,20.4,23.6,26.3,27.4,22.3,24.8,23.9,25.1,26.5,26.5
+Lao,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,13.4,14.4,16.6,17.5,17.4,17.8,18.8,20.6,20.6,22.3,22.5,16.5,17,18.4,20.1,19.4,23.2,26.2,25.4,26.9,25.2,30.5,30.8,32.4,30.4,28.8,27.7,28.8,30.9
+Latvia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,26.9,26.7,28.1,25.8,24.8,23.7,22.9,22.7,21.4,21.6,20.3,20.9,21.7,21.8,21.1,20.8,21,21,20.4,19.7,19.6,18.6,19.5
+Lebanon,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,22.6,22.2,22.3,22.3,23.7,21.2,20,20.4,19.1,18.3,14.2,14.4,14.6,15.1,16.5,15.7,14.1,14.8,15.3,17.8,17.6,15.4,15.4,12
+Lesotho,,,,2.37,3.67,5.21,6.73,11.8,10.3,11.3,10.2,10.2,11,11.2,12.5,13.2,19.2,15.1,21.3,25.1,24.2,22.4,15.4,12.3,13.5,12.9,14,14.6,17.6,18.7,21.4,27.8,29.6,30.7,31.1,30.9,32.5,29.6,30.3,32.2,35.2,38,38.7,36.5,34.7,33.8,35.5,37,39.2,31.9,30.2,31.4,29.2,28,30.9,32.8,33,
+Liberia,,,,,37.4,39.7,40,41.3,40.5,40.4,41.5,40.5,42.9,38.3,39,45.2,39.5,32.7,29.4,30,28.1,33,31.6,30.4,28.5,27.7,27.8,23.3,23.9,23.7,16.8,16.8,15.6,15.1,14.1,5.27,1.88,10.2,7.09,7.2,4.25,4.19,3.24,4.15,7.73,7.22,7.7,7.93,7.09,5.01,5,8.3,16.4,15.8,15.7,12.5,13,12.2
+Libya,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,65.8,70.9,76.6,81,87.8,80,77.5,,,,,,,,,
+Liechtenstein,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,43.6,40.3,42,41.4,40.8,41.9,40.7,39.9,41.2,40.8,38.3,38.3,39.8,37,38.7,39.3,39.6,37.2,,
+Lithuania,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28.2,27.1,27,27.3,26.3,26.3,27,26.2,27.8,29.6,29.6,30,29.6,29.2,25.1,26.1,28,27.8,27.3,27.5,26.7,25.8,26.4
+Luxembourg,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,19.2,17.6,18.1,18.6,16.9,16.6,16.4,16,16.2,15.6,14.7,13.6,14.9,13.4,11.5,11.4,11.2,10.7,10.9,11.3,11.4,11.7,11.6
+"Macedonia, FYR",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,39.3,29.8,34.9,31.3,25.5,25.3,25.1,29.7,29.2,28,21.4,20.6,19.4,22.5,21,20.4,21.7,20.6,19.5,19,21,21.6,21.1,22.1,22.8,24,24.7,23.1
+Madagascar,,,,,,,12.8,13.1,13.3,13.6,14.6,14.6,15.1,16,14.2,14.1,14.3,15.2,15.2,15.2,14.3,12.6,11.9,12,11.5,11.9,11.6,12,11.7,13.5,11.7,12.3,11.5,11.1,9.12,8.57,10.6,12.4,12.5,12.5,12.9,13.5,13.6,14.1,14.5,14.3,14.8,14.8,14.6,14.7,14.6,14.6,14.7,14.7,14.7,14.4,16.7,
+Malawi,9.97,10.1,9.71,8.88,12.4,12.8,14.1,14.7,15.7,15.7,16.3,14.7,16.3,15.7,16,19,17.5,17.5,17.9,23.3,20.2,19.6,19.1,19.4,18,19.5,19.3,21.9,20.8,23.7,24.7,24.4,28.4,22.1,19.3,17.4,17.5,16.8,16.5,16.6,16.2,15.2,16.8,18,15.6,14.9,16.3,18.1,16.1,15.3,15.2,15.4,15,14.8,14.6,14.8,14.6,14.4
+Malaysia,24.7,27.1,30.8,27,29.4,29.6,29.6,29.3,27.9,29.2,30.3,30.5,31.7,31.3,35.9,36.1,37.3,38.4,38.5,39.8,41.8,41.1,38.6,39,39.2,39.2,39.2,38.5,38.4,39.8,42.2,42.1,41.1,40.1,40,41.4,43.5,44.6,43.9,46.5,48.3,46.2,45.1,46.6,48.5,45.9,46.1,42.2,42.9,38.5,40.5,39.8,40.1,39.9,39.9,39.1,38.3,38.8
+Maldives,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,13.5,12.8,14,14.9,15.6,15,12.3,12.6,12.4,11.1,11.7,9.52,8.75,11.4,9.62,9.43,10.1,9.79,8.06,8.41,9.07,9.69,
+Mali,,,,,,,,8.82,10.3,10,10.2,10.9,11.3,11.7,12.4,10.1,9.83,9.86,9.81,8.83,14.6,14.4,14.2,16.2,18,15.5,15.1,16.5,15.1,16,16.3,16.7,16.2,15.6,16.7,17.4,17.1,18.8,19.4,18.2,21.5,22.7,22.6,22.8,22.6,22.6,25.8,23.8,21.8,24.4,22.7,20.6,19.9,18.6,18.9,17.5,16.5,16.6
+Malta,,,,,,,,,,,45.9,42,47.3,49.1,55.1,61.1,63.7,63.2,63.3,63.6,61.2,58.6,58.8,57.3,57.7,56.9,55.9,53.7,52.3,52.3,50.8,49.9,46.7,45.5,46.9,26,25.7,25.3,25.7,24.5,26.6,23.6,24.3,24.5,21.8,20.4,19.5,18.5,19.4,17.7,17.6,16.9,15.2,14.9,13.8,13,12.5,
+Marshall Islands,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,9.75,8.62,11.1,12.7,12.8,11.6,11.2,12.5,11.1,10.4,10.5,10.5,14.1,
+Mauritania,18.7,26.8,22.7,19.2,27.1,33.4,36.1,34.9,36,36.4,36.2,37.1,33,27.3,29.2,30.7,30.3,27.1,24.2,26.8,24.4,24.1,21.2,18.9,22.8,29.2,27.9,24,24.4,26.8,25.8,22.3,21.6,22.5,22.7,23,23.1,24.1,30.1,28.1,26.2,26.6,24.5,22.5,25.1,30.6,43.4,36.6,36.7,33.1,39,45.3,40,41.3,33,25.3,26.3,28.7
+Mauritius,,,,,,,,,,,,,,,,,22.6,22.7,23.3,22.6,22.4,21.7,21.5,20.8,22.8,25.1,27.1,28,28,28,27.8,28.2,28.6,28.4,28.1,28.4,28.3,27.2,27.1,27.1,27.1,27.7,26.9,26.5,25.3,24.1,22.3,22.5,23.3,23.3,22.5,21.6,20.9,20.6,19.8,19.2,18.6,18.2
+Mexico,,,,,,25.6,26.2,27,27.4,27.9,30.6,29.6,29.8,29.7,30.8,30.5,30.4,31,30.8,31.2,31.1,30.7,30.5,32.6,32.1,32,32.1,34.3,29.5,26.9,26,25.6,25.7,32.5,32.1,32.7,33.9,34.2,33.9,34.1,34.2,33.2,32.7,31.2,32.9,32.8,34.2,33.8,34.8,31.9,32.4,33.6,33.8,31.9,31.5,30,29.3,29.9
+"Micronesia, Fed. Sts.",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,6.97,7.62,7.13,8.23,7.96,8.3,8.38,6.91,6.67,6.13,5.26,4.06,3.16,3.77,6.89,7.22,8.16,8.36,7.38,6.06,6.16,6.08,
+Moldova,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28.4,27.3,25.4,21.1,20.5,19.1,22,20.4,20.7,20.7,19.2,18.8,19.4,19.1,17.2,17.1,17.6,17.8,18.1,18.7,18.8,18.5,17.9
+Mongolia,,,,,,,,,,,,,,,,,,,,,,25,25.7,26.3,27,27.2,28.3,28.4,28.8,38.8,41.2,34.3,34.7,30,31.4,32.8,23.7,28.5,22.6,22.3,22.2,21.9,22.5,25.2,28.3,32.5,38.7,37.7,30.9,30.1,33.2,31.3,30.8,30.5,31.5,31,33.7,33
+Montenegro,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,21.3,22.3,21.6,19.3,19,17.3,17.7,17,17.7,17.3,17.1,15.1,14.9,15.5,14.3,14.4,15.8,17.4
+Morocco,,,,,,27.5,29.1,28.5,28.1,27.6,27,27.3,27.5,28,35,35.2,32,32.6,31.3,32.7,28.8,31.7,30.3,30.9,30.8,30.2,27.4,27.6,27.7,27.3,27.6,26,26.4,26.5,25.2,26.3,25.6,27.3,25.7,26.1,27,25.4,25.2,26,26.6,26.2,25.2,24.7,26.8,24.2,25.7,26.6,26.4,26.2,26.4,25.8,26.1,25.6
+Mozambique,,,,,,,,,,,,,,,,,,,,,31.5,31.1,30.6,26,19.3,13.3,15.2,20.6,23.9,22.4,16.9,16.4,18,13.5,15.6,14.2,15.1,15.8,19.6,19.8,20.2,21.8,17.4,19.4,20.4,19.1,20.4,20.1,18,17.7,17.6,17.8,17.4,17,18.8,19.6,19.7,17.6
+Myanmar,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,9.69,10.6,13,14.3,16.4,17.5,19.2,20.4,22.7,24.5,26.5,31.3,32.4,32.4,34.5,34.5,35,31.6
+Namibia,,,,,,,,,,,,,,,,,,,,,48.3,40.1,36.7,34.7,32.6,37.2,35.6,30.4,33.2,33.7,29,26,25.3,22.9,24.4,22,21.4,22.1,23,21.6,25.5,28.5,29.5,26.4,27,26.7,32,32.2,34.6,29.1,27.9,27.8,30,30,29.2,28.5,29.3,28.4
+Nauru,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,36.7,21.9,5.5,,
+Nepal,,,,,,10.9,9.03,9.82,10.1,10.4,11.5,9.14,9.09,9.59,8.71,7.86,8.45,10.5,11.1,11.2,11.2,11.5,12,12,11.8,14.3,15,15,15.2,15.7,15.3,16.4,19.4,19.5,20.4,21.3,21.5,21.4,21.1,20.4,20.7,16.7,16.9,17,16.7,16.5,16.1,15.9,16,15.1,14.2,14.1,14.1,14.2,13.8,13.7,13.1,13.5
+Netherlands,,,,,,,,,,36.6,34.1,33.5,33.2,32.4,34.5,31.5,31.5,30.5,29.6,29.7,30.2,30.7,29.7,29.2,30.4,30.6,28.3,26.9,27,26.9,26.7,26.4,25.4,24.9,24.5,24.5,24.1,23.1,22.6,22,22.2,22.1,21.4,21,21,21.4,21.5,21.5,21.6,20.4,19.9,20.2,20,19.3,18.5,18.2,18,17.5
+New Zealand,,,,,,,,,,,,34.1,32.8,32.7,35.1,33.2,34.1,34.1,33.9,34,33.7,35.3,35.4,34.6,34.1,31.7,30,27.4,26.3,26.4,24.9,24.5,24.4,24.6,25.4,24.6,23.8,23.6,22.7,23,22.4,22,22.8,22.3,22.6,22.8,21.8,20.9,21,19.3,19.1,19.1,19.3,18.8,20,20.4,,
+Nicaragua,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,19.8,20.1,20,19.4,19.2,20.3,20.2,21.5,21.5,20.6,21.4,21,20.9,20.7,22,21.1,22,23.2,24.5,25.4,25.1,24.5,24.3,23.6
+Niger,3.89,3.45,3.52,3.61,3.6,3.47,3.72,4.43,4.85,5.24,6.94,7.4,8.1,9.38,7.73,11,12.9,14,15,18.7,22.9,19.2,17.3,20.2,21.6,20.9,21.8,18.7,17.4,17.5,16.2,17.6,17.9,17.9,17.3,17.3,17.8,17.9,16.7,17.2,17.8,17,17,17.1,17.8,15.4,11.3,13.2,14.2,15.1,15.6,16.1,21.1,21.6,19.4,18,16.7,15.9
+Nigeria,,,,,,,,,,,,,,,,,,,,,,105,95.8,90.5,75.5,82.8,83.6,70,68.2,63.3,61.3,65.4,60.7,57.3,57.3,46.4,44,43.4,41.5,43.5,47.5,44.5,34.1,36.7,37.6,37.9,36.6,36.7,37.4,35.7,24.9,28,27,25.7,24.6,20.2,18.2,22.3
+Norway,,,,,,,,,,,26.9,26.1,26.2,26.3,27.4,28.8,28.5,28.3,29.6,32.1,34.2,34.1,34.2,35,36.6,35.7,29.1,28.6,27.5,29.2,29.5,28.4,28,27.6,27.9,28.8,31,31.5,27.6,29.6,36.5,35.2,33.3,33.4,35,38,39.7,37.2,40.3,34.3,34.7,37,36.8,35.6,34,30.9,28.3,29.9
+Oman,,7.98,23.4,24.3,24,23.5,25.6,52.6,73.8,77.2,77.2,75.8,71,70.8,82.5,77.5,69.7,66.2,61.8,64.2,69.4,67.1,63.3,60.7,59.1,59.3,51.3,56.8,46.4,49.1,54.1,49.4,48.8,45.7,45.1,46.5,49.4,48.6,40.8,47.3,59.2,56.4,55.5,55.6,56.3,63.5,63.7,61.1,66.9,59.6,64.1,71.6,70.5,67.5,64,54.7,47.2,
+Pakistan,14.7,15.8,16.9,18.5,19,18.6,19.1,18,18,20,20.3,20.9,19.7,19.9,20.3,21.9,22.3,20.8,20.7,21.5,22.4,20.1,20.1,19.9,20.2,20.2,21.2,21.6,21.7,21.2,22.4,22.6,22.2,22.1,21.8,21.3,22,21.6,22.1,22.1,21.7,22.4,22.2,22.2,25.1,25.5,19.7,20,21.7,19.2,19.7,20.5,21.3,20.2,20,19.1,18.3,17.9
+Palau,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,14,17.6,20.8,17.3,14.9,13.2,11.3,10.8,8.7,8.71,9.73,8.56,7.95,7.57,7.18,6.69,8.91,8.67
+Palestine,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,33.1,29.5,26.6,23.2,23,24.7,21.5,24,20.1,23.2,22,23.2,21.1,20,19,19.5,20.2,20.2,21.9,20.2,20,18.9,19.6,
+Panama,,,,,,,,,,,25.3,25.3,24.2,25.9,25.9,27.6,25.9,24.1,24.6,24.7,25.2,24.6,24.6,23,23.4,25.8,24.9,24.3,21.7,20.8,19.4,21.6,21.5,22.7,22.1,22.6,22.6,21.3,21,22.5,21.5,19.2,17.9,19,19.1,18.7,18.8,17.7,19.8,19.2,19.2,19.8,21.5,25.1,26.6,27.8,28.2,28.7
+Papua New Guinea,,13.4,14.2,15.4,15.7,17.9,20.3,19.9,18.5,18.5,22.1,24.5,28.3,36.1,34.9,28.5,25.1,26.1,25.4,29.1,26.8,23.2,23.2,27.9,23.6,26.2,28.4,31.7,34.2,29.5,30.4,34.4,39.7,38.9,32.3,32.1,34.8,29.8,31.4,35.1,39.3,38.5,34.9,35.3,37,,35.1,34.5,34.4,29.8,33.2,31.3,27.6,26.5,31.9,,,
+Paraguay,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,36.7,35.5,33.2,32.2,31.7,31.4,31.2,32.2,33.5,33.1,35.3,38,34.7,31.8,32.1,30.7,29.1,27.2,29.2,27.2,26.5,27.4,25.7,26,26.7,27.5,27
+Peru,28.2,27.7,27.7,26,26.8,26.4,26.4,27.7,27.7,28.3,28.3,28.5,28.7,30.2,31.8,28.8,31.2,61.8,34,35.8,,,,,,,,,,,,25.6,26.2,27.5,29.2,29.1,28.9,29.4,28.5,28.6,29,29,29.4,29.9,32.7,34.4,37.5,37.7,36.3,33.6,35.8,37.2,35.5,33.9,31.6,29.8,30,
+Philippines,31.3,31.6,31.1,31.6,31.3,31.1,30.9,31.5,30.6,30.2,31.9,32.4,33.5,34.1,34.5,35,36.2,36.8,36.9,37.5,38.8,39.2,38.8,39.2,37.9,35.1,34.6,34.4,35.2,34.9,34.5,34,32.8,32.7,32.5,32.1,32.1,32.1,34.4,33.1,34.5,34.5,34.6,34.6,33.8,33.8,33.5,33.1,32.9,31.7,32.6,31.3,31.2,31.1,31.3,30.9,30.7,30.5
+Poland,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,33.6,32.2,31.5,31.3,30.3,28.9,27.5,26.7,27.5,29,28.8,29,29,29.1,29.8,29.2,29.8,29.7,28.6,29.4,30.3,29.8,27.9
+Portugal,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,24.8,25.4,25.7,25.3,24.9,24.4,24.1,23.5,22.6,22.2,21.4,21.1,21.2,20.4,19.9,19.9,19.3,19.1,18.9,18.9,19.5,19.4,19.4
+Qatar,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,204,214,211,182,157,119,102,90.6,76.1,96.6,94.8,73.2,73.5,71.8,69.8,58.5,51.9,
+Romania,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,45.9,42.2,43.1,39,42.7,36.2,37.5,35.7,32,30.2,30.1,32.1,33.2,30.9,31.3,31.9,32.6,34.1,36.8,36.4,37.5,38.3,32.5,32.2,31.5,29.9,30.2,30.1
+Russia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,46.6,45,45.9,42.3,40.5,41.2,34.5,35.3,34.7,33.9,33.5,33.9,31.8,29,28.7,31.7,32.6,31.8,31.2,30.8,29.3,30,29.3,29.3,28.2,27.9,29.8,29.3,30
+Rwanda,,,,,,6.85,6.77,9.75,9.49,9.39,8.59,8.68,9.43,8.73,9.21,19,18.9,21.2,22.1,18.7,21.5,20.8,21.7,24.1,23.2,22.7,23.1,17.8,17.1,17.4,24.6,20.9,18.7,18.3,21.2,16,18.1,18.6,18.7,17.6,15.8,15.5,15.1,12.8,12.9,13.5,13.3,15,14.6,14.2,14.8,16.5,16.5,17.2,17.2,17,16.4,15.8
+Samoa,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,27.5,28.1,26.9,24.9,23.2,23.2,24.7,25.8,27.1,29.1,29.2,29.1,28.6,32,29.4,24.8,25.8,26.5,26.3,25.6,26.6,24.3,23.9,22.5
+Sao Tome and Principe,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,17.8,16,15.2,14.7,14,13.8,13.5,15.6,18.7,17.4,16.7,15.9,15.7,16.9,14.6,15.5,15.1
+Saudi Arabia,,,,,,,,,62,61.1,58.4,65.4,67.3,69.7,83.1,71.8,70.6,67,60.2,64.9,71.5,70.8,59.8,49.4,46.1,41.4,37.8,40.1,38.6,42.4,49.2,48.8,51.6,47.9,47.8,49.2,52.2,50.8,43.9,47.6,54.2,51.5,51.7,54.6,57.2,62.1,62.9,63,66.8,55,58.4,63.7,62.7,59.9,57.2,45.3,43.2,45
+Senegal,12,12.8,13.2,12.9,13.4,13.9,14,14.9,14.2,15.7,15.5,15.8,15.2,15,17.9,17.2,15.9,16.8,17.4,17.4,17.9,17.3,18.4,18.9,19,18.2,17.8,17.9,19.1,19,19.9,19.8,21.7,21.3,21.8,21.4,21.8,21,21.2,20.7,20.5,21.7,22.3,21.4,21.7,20.5,20.7,20.8,20.1,20.5,20.5,21.5,21.4,20.8,20.9,20.8,20.3,20.5
+Serbia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,33.4,30.8,28.6,29.3,27.8,30.8,29.4,27.7,27,25.4,24.5,24.4,23.5,24.1,24,23.7,24.8,25.4,26.7,25.2,26,25.8,26.4
+Seychelles,,,,,,,,,,,,,,,,,16.2,13.8,13.8,15.1,15.6,17.7,15.6,15.8,16.5,18.4,17.9,15.7,16.5,15.8,16.3,18.1,18.2,18.8,19.5,22.7,23.8,24.3,25.8,27.1,29,28.1,30.3,27.4,14.8,16.4,16.2,16.1,15.6,14,14,13.7,14.2,12.6,12.2,11.8,11.4,
+Sierra Leone,,,,,26.5,26.8,24.9,26.1,27.8,26.2,25.4,26.2,26.9,24.4,21.5,19.5,19.4,19.4,19.4,19.2,20.2,17.9,16,14.2,13.1,13,14.7,17.9,11.3,10.2,18,33.8,38.8,31.1,38.4,36.1,36.3,27.1,23.8,24.3,26.8,7.91,8.81,10.3,11.8,11.3,10.4,9.67,7.83,6.55,7.78,7.87,14.5,21.2,15.6,4.56,5.61,5.14
+Singapore,16.3,16.8,17.6,18.7,21.2,22.1,22.2,22.9,23.8,24.6,26.9,28.4,30.9,30.5,31.2,31.2,32,31.8,31.4,33.1,34.9,34.4,33.3,34.4,35.2,32.2,33.1,32.6,33.6,32.1,30.8,32.6,32.3,32.1,31.3,31.5,31.5,31,32,30.8,32.5,30.4,30.6,30,31.6,30.9,30.4,27.7,25.9,26.5,26.1,24.7,24.6,23.2,24,24.2,23.7,23.2
+Slovak Republic,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,33.1,34,31.3,31.2,30.8,32.2,31.5,30.9,31.6,32.4,32.1,34.8,34.1,34.4,30.8,32,32.2,32.3,30.1,31.3,31.1,31.4,31
+Slovenia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,29.8,30.2,30.9,31.3,31.1,30.6,30.6,30.1,30.4,30.4,29.9,30.3,30.8,29.9,27.5,26.7,26.9,27.5,27.6,28.4,28.2,28,28.8
+Somalia,6.97,6.56,6.18,5.82,5.82,5.16,7.31,7.97,11.9,13.2,14.1,15,13,11.6,17.1,11.3,12.6,11,6.92,8.82,7.51,7.05,7.53,6.81,6.98,7.32,9.51,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+South Africa,35.9,36.2,36.2,36.3,37.2,38.1,37.6,35.9,36,36.2,36.1,34.6,35.8,37.8,38.6,39.2,39.5,38.3,39.7,42.5,45.3,42.7,40.8,41.4,39.8,40,40.2,38.2,37.7,36.8,36.4,35.1,33.7,32.7,32,31.9,30.8,30.1,29.5,28.5,29.1,29.6,29.7,28,27.3,27.1,26.2,26.5,28.3,27.6,27.4,26.9,26.7,26.7,26.5,26,26,25.9
+South Korea,17.1,17.6,17.6,17.9,19.2,23,22.8,23.1,23.8,24.3,24.5,23,24.6,27.3,26.3,26.4,27.3,28.1,29.8,31.1,31.5,30.7,31,32.4,33.9,33.4,34.3,35.4,36,35.6,35.8,36.5,35.2,35.5,35.6,35.8,34.8,34.7,34.7,34.1,34.2,32.9,32.4,32.7,34.2,33.8,33.2,33.4,32.7,33.3,34.6,34.8,34.6,35,34.7,34.9,35.1,35.9
+Spain,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,28.4,28.1,28,27.8,27.9,27.9,27.9,27.8,27.5,27.1,27.3,27.1,26.5,26.6,25.4,23.8,22.9,22,21.2,21.1,21.4,21.3,21.6
+Sri Lanka,20.7,20.6,21.1,20.7,20.4,21.6,20.3,20,21.5,23.3,24.2,25.1,24.6,25.7,25.3,26.7,27.4,28.9,27.5,28.5,29.9,28.3,26.5,26.5,26.5,26.5,27,27.8,27,27.1,26.3,25.9,25.9,25.8,26.4,26.7,26.6,27,27.6,27.4,27.3,26.8,28,28.4,28.6,30.2,30.6,29.9,29.4,29.7,26.6,28,30.1,29.2,28.3,27.2,27.3,27.2
+St. Kitts and Nevis,,,,,,,,,,,,,,,,,,20.4,17.7,17.6,19.1,17.7,19.1,19.5,17.9,17.4,18.9,19.7,23.8,23.3,25,23.7,23.3,22.4,20.7,21.8,21.2,20.4,21.7,23.4,26.9,30.4,28.5,24.6,22.9,22.4,23.4,23.8,23.1,24.9,24.9,23.3,21,21.9,23.3,24.2,24.3,25.5
+St. Lucia,,,,,,,,,,,,,,,,,,14.9,16.3,17.6,19.1,18.7,16.8,14.5,14.4,14.5,13.6,13.5,14.4,15.9,13.4,13.9,14.7,15,14.6,14.7,13.9,13.9,14.1,15.1,15.1,14.3,13.8,13.7,15,16,17.1,13.4,14,14.1,12.3,12.1,12,12.2,11.1,11.2,11.4,11.5
+St. Vincent and the Grenadines,,,,,,,,,,,,,,,,,,14.2,15.2,16.8,16.9,16.7,16.5,16.5,15.9,15.9,16.8,17.2,17.3,17.8,16.4,17.1,17.9,18.4,18.9,18,17.6,19,19.2,17.8,17.1,16.8,15.6,16.2,16.8,16.4,16.5,18.7,16,16.2,16.5,15.7,15.2,15.3,14.8,15.3,14.8,15
+Sudan,12.6,11.8,11.7,12.9,13,12,15.4,14.7,14.4,13.6,12.6,11.9,11.8,12.1,12.3,12.3,11.9,11,11.1,,,,13.5,14.2,14.9,15.5,15.5,15.7,13,13.8,14.7,12.1,11.7,12.2,10,10.2,14.6,14,14.6,15.5,20.1,18,19.7,21.4,24,26.9,26.2,28.9,31.7,23.1,26.9,26.2,3.33,2.69,2.53,2.07,2.32,2.31
+Suriname,44.3,41.9,40.4,40,40.1,41.2,48.6,50.3,50.5,50.5,46.3,48.2,46.1,49.1,53.2,32.2,34.2,36.5,33.3,33.8,32.8,32.3,29.4,27.4,28,27,26,23.3,25.9,25.2,22.5,18.1,16.8,16.1,27.3,29.5,26.2,27,25,21.8,22.9,19.6,28.6,27.9,32.5,33.8,37.1,37.2,40.2,34.5,35.3,35.3,35.4,32.4,30.2,25.4,29.9,31.7
+Swaziland,,,,,,31.5,30.1,33.9,32.6,27.5,26,22.3,24.2,29,28.5,24.9,27,28.7,32.1,31.1,25.9,25.6,23.9,22.6,22.5,21.3,25.2,31.9,35.3,37.4,36.8,36.2,36.1,36.8,36,37.7,36.4,37.6,37.7,36.7,39.4,39.5,39.3,38.3,39.8,39.8,39.8,40.4,39.6,39.9,37.7,36.8,37.2,35.9,35.8,35.7,35.5,
+Sweden,,,,,,,,,,,,,,,,,,,,,30.3,29,28.7,29,30.1,30.1,29.7,29.4,29.2,29,27.7,25.9,24.9,24.5,25.5,27.4,26.6,26.8,26.9,26.4,26.8,26.4,26,25.8,26.2,26.1,26.6,26.7,25.9,23.6,25.4,24.9,23.7,23.1,22.8,21.7,21.7,22.1
+Switzerland,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,31.1,30.5,29.7,29.1,30.1,29.2,28.2,27.4,26.6,26.3,25.4,26.3,26.5,26.1,25.9,26,26.2,26.2,26.5,25.5,25.6,26,25.7,25.5,25.2,25.1,25,25.2
+Syria,,,,,,,,,,,,,,,,,,,,,,,,,,22.1,22.5,19.6,20.3,23.9,24.2,21.8,17.4,18.1,17.9,18.1,25.5,28.6,26.5,32.2,38.6,31.8,30.8,28.2,36,38.5,38.5,35.9,,,,,,,,,,
+Tajikistan,,,,,,,,,,,,,,,,,,,,,,,,,,42.2,40.1,42.7,39.2,36.2,37.6,36.4,49.6,41.9,32.6,37.6,29.2,25.9,25,27.5,35.3,36.2,35.1,33.1,30.9,27.4,27.4,26.4,24.6,24.5,25,22.5,22,23,22.3,24.4,27.2,
+Tanzania,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,16.1,15.4,15.1,14.5,14,13.4,13,13,18.7,18.3,17.9,18,19.6,21,20.8,19.7,20.7,20.2,20.4,18.6,20.3,22.8,21.8,22.7,23.2,24.3,24.9,26.4
+Thailand,18.5,19.2,20.9,21,21.7,22.9,22.5,25,24.9,24.9,25.3,27.1,27.3,26.8,26.6,25.8,27.6,29.3,29.6,30.3,28.7,30.1,29.5,30.6,32,31.8,33.1,33.3,34.6,36.3,37.2,38.7,38.1,37.1,37.2,37.5,37.3,36.8,36.3,36.5,36.8,36.5,37,38.1,38,38.6,39.3,39.5,39.6,38.7,40,38.1,37.4,37,36.8,36.2,35.8,35
+Timor-Leste,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,31.1,20.7,19.1,18.9,60.1,75.3,83.6,81.8,85.7,78.9,78.8,83.5,84.2,79.8,69.8,56.9,44.8,
+Togo,15.5,15.5,14.2,18.2,19.2,20.9,22,23.3,21.9,21.3,21.1,22.6,20.3,20.2,33.1,26.5,20.5,19.5,22.8,25.3,24.8,22.5,23.4,21.4,20.2,21.7,19.9,20,21.5,24.3,22.5,25.2,23.8,20.7,21.2,22.2,21.1,20.1,16.9,16.2,18.3,17.2,18.4,18.4,17.1,17.2,18.4,18.7,18.2,16,16.2,17.6,18.4,18.7,17.3,17.7,17,16.8
+Tonga,,,,,,,,,,,,,,,,8.77,9.23,9.86,11.9,13.1,12.5,11.2,10.7,13.4,14,12.6,12.3,10.8,10.8,12.7,11.7,9.99,10.9,10.1,18.1,19.5,19.3,17.1,16.9,17.6,18.6,18.7,18,17.3,16.9,16.9,15.4,15.8,15.4,16.6,17.9,19.1,18.9,16.4,16.1,16.9,17.3,
+Trinidad and Tobago,,,,,,,33.4,35.3,37.5,34.6,32.7,31,31.4,37.2,51,49.7,49.1,48.3,42,45.1,48.1,40.8,31.3,31.7,34.6,34,31,33.5,32.9,36.8,38.2,35.3,32.8,31.9,37.7,35.7,36.1,33.3,27.6,30.5,38.3,35.7,34.2,42.9,46.1,51.4,52.6,50.3,54.8,40.4,45.9,50.4,50.1,48,47.5,37,35.4,38.2
+Tunisia,,,,,,19.2,19.3,20.2,20.3,21.5,20.6,20.5,20.1,21.3,27.1,25.9,25.2,25.7,26.4,28.9,31.1,32,31.1,32.5,33.5,32.7,30.5,29.5,30.6,31.1,29.8,29,28.5,28.1,29.2,29.4,28.5,26.5,25.8,26,26.7,26.5,26.6,25.3,25.5,26.6,26.7,28.7,31.5,27.8,29,29.8,29.6,28.8,26.9,25.2,24.4,
+Turkey,17.3,17.2,17.1,17,17.9,19.3,19.6,20.4,21.5,22.1,21.9,22.7,23.7,23.7,22.5,22.6,23.9,23.4,22.9,25.6,23.5,26.7,27.8,26.6,25.6,26.4,31,31.4,32.8,33,31.1,31.5,31.2,29.8,32.1,32,30.6,30.8,31.1,28.4,26.9,25.6,24.6,24.8,25.1,25.3,26.1,26.5,26.2,24.1,24.6,26.9,26.8,27.7,28.2,27.9,28.2,29.2
+Turkmenistan,,,,,,,,,,,,,,,,,,,,,,,,,,,,40,37,35.7,30,30.5,12.2,59.8,44.8,59.1,65.2,45,40.6,43.6,41.1,42,40.3,38.9,37.9,37.1,35.8,37.7,60.5,60.9,59.1,65.9,66.6,63.4,60.7,57,,
+Tuvalu,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,14.5,14.7,20.5,15.8,14.3,14,11.2,13.3,13.7,14.3,6.85,7.85,8.01,10.2,9.52,7.78,5.68,7.83,12.9,11.4,5.57,9,7.97,7.71,7.68,7.28,,
+Uganda,12.8,12.8,12.1,13.4,12.1,12.7,11.7,11.5,12.4,12.8,13,11.9,10.7,9.29,10.7,7.98,7.4,6.98,5.11,4.14,4.47,6.73,10.7,8.7,9.86,9.06,9.6,9.72,9.75,10.2,10.4,11.6,12.5,12.3,12.8,13.1,14.7,15.9,16.4,17.8,21.4,21.2,22.9,22.7,20.9,23.5,22.8,25.1,25.8,20.2,18.1,20.2,21.3,20.6,20.4,20,20.7,20
+Ukraine,,,,,,,,,,,,,,,,,,,,,,,,,,,,45.1,45.6,47,42.6,54.5,52.2,37.5,42.6,38.2,33.8,30.5,30.6,32,30.8,30.7,30.8,31.1,32.5,28.5,31.5,32.4,29.2,25.8,25.9,25.1,24.5,22.6,22.8,21.8,23,24
+United Arab Emirates,,,,,,,,,,,,,,,,74,71.8,68,68.1,71.4,72.7,68.4,63.2,61.4,62.8,61.3,52.2,54.7,53,55.1,58.9,46.8,55.3,51.5,46.3,45.5,46.4,45.4,40,42,48.5,49.7,47.5,49.1,51.7,55.6,57.9,54.8,58,52,52.5,58.1,57.5,55,52.8,43.9,41.4,43.6
+United Kingdom,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,27.9,27.2,26.7,26.2,26.7,24.9,25,24.1,23.2,22.1,22.5,21.4,21.1,20.3,19.5,19.7,19.7,19.3,19,18,18,18.1,17.9,18.2,17.8,17.8,18,18.6
+United States,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,23.1,22.6,22.5,22.4,21.5,20.6,20.7,21,21.2,21.6,21.5,21,19.6,19.8,20,19.9,20.1,20.2,19.4,18.9,
+Uruguay,,,,,,,,,,,,,,,,,,,,,,,,33.1,34.4,35.9,36.2,35.8,34.2,33.7,34.6,35.5,32.8,29.7,28,28.9,28.5,23.3,23.2,23.1,21.8,21.7,21.7,22.9,22.2,23.8,22.9,23.6,22.8,24.1,24.5,22.7,22.9,23.7,24.7,25.4,25.5,24.3
+Uzbekistan,,,,,,,,,,,,,,,,,,,,,,,,,,,,35.3,34.3,32.6,33.3,36.7,36.1,31.2,24.3,24.1,26.1,22.9,22.4,21,20.2,20,19.4,20.3,22.3,20.7,26.8,26.9,29.1,30.4,30.3,30,30.3,30.5,30.6,31.5,30.1,30.1
+Vanuatu,,,,,,,,,,,,,,,,,,,,6.05,6.59,6.47,6.72,8.85,7.89,9.45,10.2,13.3,13.2,12.9,14.1,12.7,10.9,10,12.7,12.2,10.6,9.07,8.17,8.32,11.2,9.05,8.95,8.19,7.6,7.85,8.09,7.8,8.85,10.9,12.3,9.72,7.53,7.87,8.13,11.4,,
+Venezuela,,,,,,,,,39.5,36.6,37.5,38.3,37.9,41.7,52.5,44.9,44.5,43.4,42,45,45.1,43.3,40.4,36.4,50,48.3,48.7,47.9,50.2,55.2,59.7,55.3,53.2,50.3,42.2,38.9,46.3,46.4,40.6,41.9,46.4,42.9,46.7,48.8,51.1,53.1,51.9,49.3,50.6,40.8,48.4,48.6,45.2,44.7,37.2,,,
+Vietnam,,,,,,,,,,,,,,,,,,,,,,,,,,27.4,28.9,28.4,24,22.9,22.7,23.8,27.3,28.9,28.9,28.8,29.7,32.1,32.5,34.5,36.7,38.1,38.5,39.5,40.2,38.1,38.6,38.5,37.1,37.4,32.1,32.2,33.6,33.2,33.2,33.3,32.7,33.3
+Yemen,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,31,26.7,23.2,21.3,20.6,25.9,35,35.7,24.9,34.3,46.4,42.4,42.1,43,45.2,49,49.2,49.5,44.9,52.8,43.8,46.5,46.5,43.9,44,58.8,91.2,
+Zambia,62.2,59.4,58,57.7,58.1,53.8,58.8,52.1,54.6,62.4,54.7,46.2,47.6,53.6,54.8,41.7,40.6,37.7,39.4,42,39.1,36.9,35.3,40.1,39.2,42,44.4,41.1,44,47.3,45.3,46.3,43.7,37.4,37.3,34.3,33.2,32.4,27.3,22.8,23.2,23.4,23.9,24.1,25.7,26.8,30.4,31.9,31,30.2,32.2,34.4,32,32.6,32.9,33.7,34.9,35.7
+Zimbabwe,,,,,,27.8,27,28,28.2,28.4,30,29.4,30.1,32.3,32.3,31.9,31.6,30,29.9,31.7,27.9,25.2,22.7,25.6,29.5,25.6,28.5,29.6,30.1,31.5,29.8,33.2,37.2,30.5,29.2,25.7,23,22.5,20.8,19.1,,,,,24.4,26.5,30.7,32.5,30.5,23.7,24.2,25,23.2,22.9,22.5,21.2,20.2,21.5

data/natural_gas_production_per_person.csv ADDED Viewed

	@@ -0,0 +1,50 @@

+geo,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016
+Algeria,0.157,0.161,0.198,0.256,0.288,0.344,0.422,0.392,0.591,0.94,0.685,0.77,0.974,1.35,1.33,1.42,1.41,1.55,1.58,1.65,1.71,1.8,1.83,1.82,1.64,1.83,1.91,2.15,2.27,2.52,2.53,2.35,2.39,2.49,2.41,2.39,2.25,2.23,2.22,2.02,2,2.02,1.95,1.94,1.92,1.91,2.02
+Argentina,0.226,0.232,0.224,0.228,0.221,0.247,0.251,0.25,0.233,0.271,0.304,0.299,0.32,0.361,0.385,0.393,0.454,0.456,0.531,0.557,0.52,0.549,0.561,0.555,0.566,0.617,0.673,0.697,0.744,0.839,0.926,0.913,0.89,0.982,1.04,1.05,1.05,1.01,0.982,0.914,0.875,0.838,0.807,0.752,0.742,0.756,0.786
+Australia,0.122,0.179,0.252,0.316,0.356,0.377,0.44,0.497,0.53,0.603,0.684,0.732,0.704,0.754,0.707,0.744,0.798,0.802,0.807,0.911,1.04,1.09,1.18,1.21,1.36,1.41,1.41,1.39,1.41,1.41,1.42,1.47,1.47,1.49,1.56,1.64,1.72,1.77,1.7,1.9,2.05,2.13,2.24,2.29,2.44,2.75,3.4
+Azerbaijan,,,,,,,,,,,,,,,,1.72,1.63,1.48,1.38,1.27,1.11,0.952,0.861,0.731,0.678,0.691,0.653,0.617,0.571,0.607,0.567,0.551,0.506,0.499,0.482,0.547,0.638,1.01,1.51,1.49,1.5,1.46,1.52,1.55,1.66,1.68,1.62
+Bahrain,2.63,3.7,4.44,6.02,7.06,7.02,6.91,7.02,7.22,7.56,5.84,5.21,7.98,8.14,8.16,9.68,10.7,10.1,10.3,10.4,10.5,9.77,11.1,11.6,11.6,11.5,11.5,12.1,12.3,12.3,11.9,11.8,11.6,11.1,10.6,10.8,10.6,10.2,10.2,9.7,9.49,9.36,9.51,10.1,10.4,10.2,9.76
+Bangladesh,0,0,0.00559,0.00761,0.00823,0.00811,0.0104,0.0113,0.0122,0.0136,0.0149,0.0152,0.0192,0.0208,0.0234,0.0259,0.0284,0.0325,0.0372,0.0384,0.0403,0.0405,0.0432,0.0473,0.0491,0.0531,0.0558,0.0537,0.0568,0.0607,0.0644,0.0707,0.0731,0.0772,0.0817,0.0865,0.0924,0.0975,0.103,0.117,0.118,0.119,0.128,0.13,0.135,0.15,0.152
+Bolivia,0.00799,0.00783,0.204,0.308,0.316,0.305,0.307,0.317,0.306,0.327,0.393,0.41,0.416,0.391,0.368,0.358,0.357,0.366,0.38,0.393,0.393,0.383,0.37,0.362,0.383,0.375,0.371,0.307,0.314,0.248,0.349,0.499,0.628,0.709,0.98,1.19,1.25,1.32,1.34,1.14,1.29,1.39,1.56,1.76,1.79,1.7,1.63
+Brazil,0.00074,0.00115,0.00153,0.00171,0.00321,0.00342,0.00384,0.00467,0.00601,0.00643,0.00734,0.00643,0.00898,0.0119,0.0135,0.0166,0.0189,0.0207,0.0205,0.0206,0.0184,0.0188,0.021,0.0242,0.026,0.0282,0.0303,0.0325,0.0335,0.0387,0.0385,0.0387,0.0462,0.0495,0.0538,0.0526,0.0531,0.0529,0.0651,0.0551,0.0667,0.0758,0.0865,0.0948,0.1,0.101,0.102
+Brunei,1.52,1.44,2.82,11.8,24.5,30.8,39.1,43.2,40.8,41.3,40.1,37.6,36.5,37,36.4,34.5,33.6,32.6,32.9,31.3,31,30.6,32,33,32.3,35.6,34.4,33.7,30.4,31,30.5,30.2,29.7,31.5,30.6,29.6,30.6,29.4,28.8,26.8,28.4,29.2,28.3,27.1,25.9,25.1,23.8
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data/oil_consumption_per_cap.csv ADDED Viewed

	@@ -0,0 +1,66 @@

+geo,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016
+Algeria,0.102,0.13,0.118,0.122,0.125,0.14,0.153,0.163,0.173,0.187,0.202,0.226,0.249,0.248,0.289,0.283,0.295,0.304,0.33,0.354,0.353,0.348,0.341,0.332,0.339,0.353,0.342,0.335,0.327,0.306,0.292,0.274,0.267,0.271,0.264,0.272,0.278,0.304,0.312,0.323,0.331,0.341,0.376,0.402,0.419,0.411,0.43,0.448,0.458,0.452,0.488,0.465
+Argentina,0.99,1.01,1.02,1.02,1.05,0.923,0.969,0.954,0.939,0.93,0.86,0.881,0.913,0.899,0.937,0.863,0.786,0.742,0.746,0.692,0.616,0.698,0.734,0.724,0.647,0.602,0.609,0.634,0.62,0.589,0.58,0.596,0.589,0.596,0.548,0.549,0.522,0.477,0.486,0.504,0.53,0.55,0.605,0.616,0.596,0.681,0.679,0.703,0.749,0.729,0.741,0.728
+Australia,1.33,1.55,1.65,1.75,1.76,1.9,1.96,1.97,2.07,2.16,2.11,2.13,2.2,2.18,2.2,2.08,1.98,1.95,1.9,1.97,1.84,1.85,1.86,1.91,1.95,1.95,1.87,1.85,1.93,1.98,2.02,2.03,2.04,2.01,2.06,2.02,2.02,1.98,1.96,1.99,1.95,2.08,2.03,2.02,2,1.98,2.06,2.1,2.08,2.05,2.01,1.98
+Austria,0.761,0.832,0.88,1.01,1.11,1.21,1.35,1.45,1.56,1.39,1.4,1.52,1.46,1.57,1.64,1.6,1.45,1.38,1.33,1.29,1.29,1.36,1.4,1.38,1.35,1.41,1.5,1.45,1.46,1.42,1.42,1.46,1.48,1.54,1.51,1.47,1.59,1.62,1.74,1.69,1.7,1.71,1.62,1.6,1.53,1.59,1.5,1.47,1.48,1.44,1.44,1.45
+Azerbaijan,,,,,,,,,,,,,,,,,,,,,1.24,1.28,1.18,1.19,1.14,1.18,1.12,1.07,1.06,0.946,0.846,0.756,0.712,0.744,0.711,0.779,0.488,0.443,0.511,0.531,0.63,0.557,0.519,0.407,0.371,0.356,0.436,0.45,0.484,0.468,0.471,0.474
+Bangladesh,,,,,,,0.0102,0.0123,0.0138,0.014,0.0161,0.017,0.0163,0.0169,0.0182,0.0199,0.02,0.0192,0.0167,0.0164,0.0178,0.0187,0.0179,0.0175,0.0186,0.0175,0.0158,0.0173,0.019,0.0193,0.0247,0.0247,0.0277,0.03,0.0261,0.0253,0.0295,0.029,0.0296,0.0273,0.027,0.027,0.0252,0.0253,0.0234,0.0257,0.033,0.035,0.0336,0.0361,0.0384,0.0404
+Belarus,,,,,,,,,,,,,,,,,,,,,2.55,2.99,2.94,2.83,2.64,2.44,2.35,2.01,1.42,1.16,1.05,1.04,0.909,0.862,0.794,0.787,0.774,0.811,0.835,0.839,0.782,0.919,0.841,0.832,0.978,0.789,0.908,1.1,0.753,0.857,0.812,0.795
+Belgium,1.69,1.71,1.88,2.18,2.51,2.72,2.78,3,3.14,2.76,2.6,2.7,2.65,2.83,2.8,2.59,2.37,2.24,2.03,1.96,1.98,2.24,2.26,2.32,2.27,2.38,2.56,2.61,2.56,2.76,2.72,2.96,3.03,3.06,2.94,3.01,3,3.06,3.23,3.22,3.19,3.18,3.23,3.34,2.9,2.99,2.77,2.67,2.7,2.65,2.74,2.8
+Brazil,0.178,0.188,0.189,0.221,0.236,0.263,0.283,0.318,0.381,0.4,0.403,0.426,0.429,0.462,0.478,0.454,0.422,0.424,0.402,0.406,0.411,0.454,0.458,0.459,0.459,0.438,0.437,0.46,0.47,0.494,0.506,0.529,0.552,0.563,0.561,0.538,0.541,0.529,0.506,0.52,0.53,0.529,0.563,0.602,0.6,0.644,0.664,0.67,0.712,0.737,0.712,0.669
+Bulgaria,0.45,0.51,0.637,0.75,0.915,1.06,1.16,1.19,1.25,1.3,1.37,1.42,1.47,1.51,1.55,1.57,1.4,1.35,1.3,1.25,1.15,1.22,1.17,1.25,1.22,0.768,0.497,0.453,0.529,0.526,0.581,0.518,0.517,0.545,0.51,0.514,0.532,0.536,0.567,0.555,0.629,0.652,0.639,0.636,0.576,0.525,0.514,0.534,0.498,0.535,0.61,0.633
+Canada,2.73,2.83,2.97,3.11,3.18,3.34,3.37,3.49,3.63,3.63,3.5,3.64,3.64,3.66,3.77,3.67,3.4,3.01,2.79,2.78,2.75,2.72,2.79,2.89,2.96,2.88,2.68,2.71,2.69,2.7,2.77,2.82,2.9,2.93,2.96,2.93,2.94,3,3.08,3.16,3.09,3.02,3.08,3.01,2.79,2.96,3.02,2.93,2.94,2.9,2.76,2.78
+Chile,0.406,0.434,0.443,0.456,0.475,0.491,0.534,0.556,0.52,0.489,0.42,0.439,0.442,0.477,0.474,0.472,0.48,0.417,0.399,0.393,0.377,0.397,0.407,0.441,0.479,0.498,0.547,0.583,0.626,0.662,0.717,0.751,0.796,0.804,0.802,0.774,0.727,0.751,0.717,0.752,0.772,0.854,1.09,1.12,1.08,0.942,1.02,1.01,0.964,0.987,0.993,0.991
+China,0.0152,0.019,0.0183,0.0194,0.0254,0.0342,0.0454,0.051,0.0608,0.0685,0.0741,0.0833,0.0866,0.0945,0.093,0.0872,0.0816,0.0795,0.08,0.0816,0.0838,0.0875,0.0911,0.0961,0.0987,0.0963,0.102,0.11,0.12,0.121,0.129,0.141,0.153,0.155,0.164,0.175,0.177,0.191,0.212,0.246,0.249,0.266,0.277,0.281,0.291,0.33,0.34,0.354,0.367,0.38,0.402,0.412
+Colombia,0.201,0.223,0.218,0.236,0.22,0.242,0.245,0.272,0.254,0.276,0.271,0.28,0.274,0.273,0.283,0.263,0.263,0.264,0.267,0.259,0.264,0.255,0.263,0.272,0.273,0.272,0.274,0.297,0.31,0.315,0.326,0.332,0.332,0.319,0.278,0.269,0.248,0.241,0.247,0.244,0.251,0.248,0.242,0.26,0.235,0.26,0.275,0.296,0.294,0.309,0.322,0.327
+Czech Republic,0.407,0.45,0.501,0.553,0.593,0.711,0.78,0.851,0.952,0.971,1.07,1.12,1.16,1.19,1.21,1.12,1.1,1.01,0.986,1.05,1.03,0.986,0.994,0.954,0.907,0.817,0.686,0.655,0.663,0.681,0.773,0.809,0.771,0.8,0.795,0.771,0.815,0.794,0.85,0.932,0.969,0.954,0.94,0.95,0.922,0.872,0.855,0.846,0.806,0.855,0.842,0.792
+Denmark,2.19,2.47,2.6,2.8,3.35,3.71,3.63,3.82,3.51,3.16,3.11,3.29,3.28,3.26,3.11,2.65,2.5,2.15,2.04,2.02,2.08,2.05,1.88,1.87,1.8,1.76,1.78,1.75,1.83,1.95,2.02,2.19,2.1,2.02,2,1.94,1.85,1.78,1.71,1.68,1.69,1.72,1.72,1.69,1.49,1.5,1.48,1.38,1.37,1.38,1.4,1.41
+Ecuador,0.126,0.128,0.134,0.155,0.16,0.178,0.191,0.191,0.206,0.229,0.218,0.238,0.289,0.287,0.298,0.371,0.407,0.434,0.388,0.379,0.455,0.451,0.444,0.419,0.423,0.409,0.453,0.427,0.437,0.467,0.442,0.486,0.546,0.546,0.486,0.505,0.493,0.521,0.53,0.535,0.573,0.597,0.597,0.605,0.606,0.688,0.694,0.708,0.738,0.766,0.731,0.674
+Egypt,0.225,0.235,0.186,0.19,0.137,0.173,0.175,0.195,0.179,0.194,0.21,0.242,0.253,0.255,0.273,0.299,0.335,0.372,0.399,0.419,0.414,0.405,0.409,0.404,0.409,0.414,0.398,0.378,0.353,0.344,0.365,0.379,0.392,0.406,0.405,0.389,0.366,0.348,0.35,0.356,0.388,0.367,0.384,0.403,0.417,0.432,0.392,0.402,0.398,0.417,0.423,0.425
+Finland,1.25,1.51,1.58,1.79,2.08,2.33,2.41,2.55,2.84,2.46,2.53,2.71,2.63,2.64,2.79,2.67,2.55,2.34,2.16,2.18,2.19,2.28,2.26,2.22,2.21,2.26,2.23,2.19,2.1,2.17,1.99,2.03,2,2.09,2.1,2.1,2.05,2.13,2.19,2.04,2.11,2.02,2.04,2,1.88,1.97,1.8,1.69,1.66,1.58,1.59,1.64
+France,1.1,1.17,1.33,1.43,1.64,1.85,2,2.21,2.44,2.3,2.08,2.24,2.14,2.22,2.2,2.03,1.82,1.68,1.63,1.56,1.52,1.54,1.55,1.53,1.56,1.57,1.65,1.64,1.58,1.52,1.53,1.56,1.56,1.61,1.63,1.59,1.59,1.54,1.54,1.54,1.52,1.51,1.48,1.46,1.4,1.34,1.31,1.26,1.24,1.2,1.19,1.18
+Germany,1.13,1.26,1.29,1.44,1.61,1.77,1.83,1.93,2.06,1.86,1.81,1.95,1.94,2.01,2.08,1.88,1.71,1.62,1.58,1.58,1.63,1.71,1.66,1.65,1.54,1.61,1.67,1.68,1.69,1.67,1.66,1.69,1.67,1.68,1.62,1.59,1.61,1.56,1.53,1.52,1.5,1.52,1.38,1.47,1.41,1.43,1.38,1.37,1.4,1.36,1.35,1.38
+Greece,0.525,0.57,0.667,0.679,0.719,0.774,0.85,0.979,1.13,1.05,1.1,1.16,1.16,1.25,1.3,1.29,1.23,1.21,1.16,1.18,1.2,1.21,1.31,1.35,1.47,1.43,1.44,1.45,1.46,1.5,1.54,1.6,1.61,1.69,1.62,1.69,1.73,1.73,1.8,1.78,1.78,1.87,1.88,1.78,1.7,1.58,1.49,1.34,1.28,1.28,1.33,1.37
+Hungary,0.371,0.406,0.427,0.445,0.495,0.572,0.642,0.696,0.78,0.852,0.955,0.993,1.05,1.16,1.08,1.05,1,0.952,0.906,0.955,0.977,0.906,0.955,0.886,0.858,0.894,0.773,0.781,0.742,0.785,0.739,0.685,0.689,0.723,0.697,0.67,0.656,0.629,0.605,0.627,0.729,0.771,0.772,0.75,0.709,0.674,0.644,0.603,0.6,0.672,0.715,0.728
+India,0.0254,0.0278,0.0281,0.0308,0.0362,0.0352,0.0362,0.0381,0.0393,0.0376,0.0376,0.0387,0.0406,0.0432,0.0455,0.0454,0.0477,0.0485,0.0498,0.0522,0.0554,0.057,0.0575,0.0617,0.0655,0.0666,0.0663,0.0685,0.0678,0.0715,0.0783,0.0828,0.0867,0.0911,0.0969,0.101,0.0998,0.104,0.105,0.106,0.107,0.11,0.117,0.121,0.126,0.126,0.131,0.137,0.137,0.14,0.15,0.161
+Indonesia,0.061,0.0572,0.0535,0.0551,0.0572,0.0591,0.0596,0.0626,0.0729,0.0743,0.0831,0.0875,0.103,0.11,0.117,0.128,0.14,0.141,0.136,0.142,0.137,0.142,0.145,0.149,0.155,0.175,0.182,0.193,0.199,0.201,0.211,0.221,0.241,0.226,0.233,0.257,0.257,0.265,0.264,0.278,0.271,0.254,0.265,0.254,0.254,0.267,0.297,0.299,0.295,0.295,0.278,0.278
+Iran,0.285,0.303,0.326,0.349,0.37,0.389,0.414,0.448,0.523,0.588,0.667,0.733,0.824,0.867,0.865,0.744,0.711,0.741,0.861,0.889,0.943,0.835,0.847,0.858,0.914,0.923,0.967,1.02,1.06,1.08,1.06,1.07,1.09,1.05,1.04,1.06,1.05,1.04,1.03,1.05,1.14,1.23,1.24,1.28,1.25,1.12,1.12,1.12,1.21,1.15,1.06,1.04
+Ireland,0.848,0.941,1.05,1.16,1.25,1.39,1.52,1.64,1.75,1.71,1.64,1.64,1.72,1.81,1.87,1.66,1.46,1.26,1.13,1.11,1.1,1.36,1.19,1.08,1.11,1.24,1.36,1.41,1.43,1.55,1.56,1.63,1.77,1.96,2.2,2.13,2.29,2.21,2.11,2.14,2.21,2.16,2.14,2.01,1.76,1.65,1.46,1.39,1.4,1.38,1.45,1.49
+Israel,1.54,1.56,1.59,1.62,1.65,1.68,1.7,1.72,1.76,1.73,1.74,1.79,1.82,1.9,2.04,2.14,2.14,2.03,1.88,1.72,1.59,1.63,1.79,1.95,1.95,1.97,1.96,1.99,1.99,2.13,2.32,2.26,2.07,2.15,2.25,2.25,2.04,1.98,1.99,1.83,1.85,1.74,1.78,1.69,1.49,1.51,1.56,1.81,1.47,1.33,1.41,1.42
+Italy,1.01,1.11,1.21,1.33,1.45,1.63,1.74,1.81,1.89,1.83,1.71,1.78,1.72,1.78,1.83,1.74,1.69,1.6,1.57,1.49,1.48,1.52,1.58,1.61,1.64,1.64,1.62,1.65,1.62,1.62,1.67,1.65,1.65,1.66,1.65,1.63,1.61,1.61,1.58,1.53,1.47,1.47,1.42,1.35,1.26,1.22,1.18,1.08,0.996,0.936,0.969,0.978
+Japan,0.893,1,1.22,1.4,1.63,1.9,2.06,2.17,2.46,2.33,2.17,2.23,2.25,2.28,2.28,2.02,1.88,1.75,1.74,1.81,1.7,1.71,1.71,1.83,1.89,1.98,2,2.04,1.99,2.1,2.13,2.14,2.1,2.01,2.05,2.02,1.95,1.91,1.95,1.9,1.93,1.85,1.8,1.75,1.56,1.58,1.58,1.69,1.62,1.54,1.48,1.44
+Kazakhstan,,,,,,,,,,,,,,,,,,,,,1.31,1.18,1.13,1.12,1.14,1.3,1.31,1.23,0.961,0.76,0.747,0.644,0.656,0.554,0.462,0.469,0.51,0.549,0.584,0.592,0.6,0.679,0.732,0.717,0.574,0.602,0.693,0.681,0.702,0.703,0.743,0.734
+Kuwait,11.5,10.1,8.99,8.01,7.2,6.52,6.01,6.13,5.48,4.74,3.56,3.89,3.54,3.58,3.78,3.05,3.97,4.36,4.58,4.6,4.33,4.22,3.94,3.69,3.61,1.56,1.71,2.56,2.87,4.12,4.4,4.23,4.38,5.72,6,5.76,5.77,6.14,7.2,8.06,8.58,7.44,7.14,7.17,7.25,6.99,6.38,7.19,6.3,5.55,5.66,5.43
+Lithuania,,,,,,,,,,,,,,,,,,,,,2.44,2.02,2.2,2.09,2.13,2.03,2.23,1.18,1.03,0.964,0.875,0.914,0.911,1.06,0.874,0.677,0.789,0.734,0.709,0.768,0.83,0.849,0.855,0.952,0.83,0.863,0.847,0.884,0.871,0.862,0.953,1.03
+Malaysia,0.24,0.272,0.27,0.267,0.269,0.29,0.31,0.336,0.356,0.346,0.356,0.388,0.431,0.453,0.535,0.591,0.615,0.627,0.656,0.628,0.61,0.567,0.565,0.596,0.598,0.7,0.734,0.783,0.841,0.903,0.921,0.982,1.11,0.918,0.986,0.967,0.983,1.08,1.12,1.11,1.09,1.1,1.16,1.09,1.06,1.04,1.1,1.13,1.18,1.16,1.16,1.16
+Mexico,0.319,0.321,0.333,0.354,0.361,0.377,0.386,0.418,0.43,0.481,0.525,0.566,0.568,0.629,0.66,0.712,0.761,0.768,0.733,0.766,0.782,0.77,0.792,0.774,0.811,0.832,0.85,0.842,0.823,0.882,0.795,0.803,0.821,0.852,0.838,0.866,0.84,0.793,0.804,0.827,0.837,0.814,0.823,0.806,0.766,0.755,0.758,0.764,0.733,0.688,0.67,0.65
+Netherlands,2.06,2.21,2.23,2.37,2.56,2.81,2.74,3.01,3.07,2.61,2.55,2.84,2.71,2.74,2.95,2.74,2.55,2.2,2.07,2.03,2.04,2.25,2.25,2.38,2.33,2.42,2.37,2.46,2.43,2.42,2.5,2.46,2.57,2.57,2.62,2.68,2.8,2.77,2.78,2.89,3.06,3.09,3.07,2.85,2.76,2.75,2.75,2.6,2.46,2.35,2.29,2.35
+New Zealand,1.03,1.13,1.17,1.19,1.22,1.41,1.43,1.51,1.57,1.47,1.39,1.42,1.42,1.34,1.35,1.3,1.23,1.22,1.16,1.16,1.1,1.12,1.18,1.21,1.23,1.4,1.33,1.34,1.27,1.44,1.54,1.49,1.57,1.58,1.58,1.6,1.59,1.62,1.69,1.67,1.69,1.7,1.69,1.69,1.59,1.61,1.59,1.56,1.56,1.58,1.62,1.64
+Norway,1.37,1.53,1.57,1.74,1.9,2.12,2.07,2.15,2.17,1.97,2.02,2.22,2.18,2.43,2.4,2.3,2.13,2.04,2.01,2.07,2.17,2.33,2.29,2.13,2.16,2.2,2.01,2.07,2.16,2.21,2.15,2.31,2.33,2.31,2.28,2.08,2.26,2.16,2.27,2.18,2.19,2.24,2.26,2.17,2.22,2.2,2.14,2.1,2.12,1.97,1.98,1.98
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+Russia,,,,,,,,,,,,,,,,,,,,,1.73,1.74,1.74,1.72,1.74,1.71,1.66,1.58,1.32,1.16,1.02,0.875,0.869,0.835,0.855,0.842,0.872,0.841,0.875,0.866,0.871,0.91,0.908,0.934,0.896,0.931,0.993,1.01,1.01,1.06,1,1.03
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+Singapore,2.19,2.45,2.89,3.52,3.4,3.62,3.08,3.8,3.51,3.4,3.27,3.84,3.81,3.86,4.07,3.97,4.48,4.26,4.4,4.51,4.49,5.1,5.24,5.95,6.65,7.74,7.67,7.72,8.1,9.05,9.19,9.05,9.31,9.21,8.9,9.26,9.69,9.17,8.28,8.93,9.22,9.65,10.2,10.6,11.2,12,12.3,12,12,12.1,12.5,12.8
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+Turkey,0.115,0.134,0.154,0.181,0.197,0.203,0.236,0.261,0.312,0.295,0.318,0.351,0.388,0.402,0.35,0.35,0.337,0.353,0.362,0.353,0.362,0.383,0.424,0.443,0.408,0.425,0.408,0.424,0.478,0.449,0.496,0.51,0.494,0.486,0.475,0.489,0.449,0.474,0.461,0.464,0.452,0.466,0.468,0.456,0.457,0.44,0.424,0.424,0.441,0.446,0.497,0.518
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+Ukraine,,,,,,,,,,,,,,,,,,,,,1.26,1.26,1.31,1.2,1.14,1.24,1.13,0.834,0.486,0.39,0.374,0.283,0.277,0.289,0.26,0.247,0.278,0.276,0.287,0.304,0.291,0.305,0.311,0.307,0.294,0.275,0.287,0.276,0.264,0.228,0.206,0.205
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+Uzbekistan,,,,,,,,,,,,,,,,,,,,,0.641,0.641,0.593,0.714,0.666,0.494,0.509,0.405,0.42,0.353,0.292,0.283,0.295,0.286,0.29,0.285,0.27,0.26,0.281,0.285,0.194,0.191,0.171,0.164,0.152,0.127,0.117,0.103,0.0953,0.0884,0.0881,0.0876
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+Vietnam,0.0392,0.0833,0.119,0.118,0.139,0.14,0.116,0.117,0.112,0.067,0.0624,0.0159,0.0156,0.0186,0.0209,0.0355,0.0302,0.03,0.0336,0.0321,0.0318,0.0347,0.0396,0.0405,0.0367,0.0421,0.0402,0.0431,0.0543,0.059,0.0638,0.0723,0.0814,0.0888,0.0977,0.103,0.111,0.12,0.127,0.149,0.145,0.141,0.155,0.162,0.167,0.176,0.189,0.189,0.189,0.195,0.201,0.212

data/oil_production_per_person.csv ADDED Viewed

	@@ -0,0 +1,50 @@

+geo,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016
+Algeria,2.1,2.61,2.93,3.12,3.17,3.31,2.48,3.26,3.22,2.91,2.74,2.94,3.06,3.17,3.07,2.68,2.35,2.28,2.16,2.26,2.22,2.23,2.2,2.18,2.16,2.22,2.17,2.08,2.04,1.99,1.96,2.02,2.02,2.04,2.08,2.14,2.08,2.22,2.44,2.54,2.6,2.55,2.52,2.46,2.18,2.04,1.95,1.79,1.69,1.76,1.69,1.69
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+Argentina,0.618,0.648,0.696,0.752,0.767,0.834,0.885,0.896,0.857,0.825,0.777,0.771,0.821,0.851,0.877,0.899,0.902,0.882,0.871,0.84,0.795,0.741,0.721,0.746,0.751,0.777,0.78,0.863,0.911,0.999,1.07,1.15,1.21,1.21,1.14,1.12,1.17,1.14,1.13,1.06,1.01,0.999,0.957,0.937,0.834,0.809,0.742,0.738,0.717,0.695,0.687,0.657
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+Azerbaijan,,,,,,,,,,,,,,,,,,,,,1.98,1.93,2.02,1.96,1.85,1.73,1.6,1.5,1.35,1.24,1.18,1.16,1.14,1.43,1.72,1.73,1.83,1.85,1.84,1.83,2.6,3.74,4.88,5.05,5.65,5.63,4.99,4.68,4.63,4.43,4.33,4.22
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+Brunei,38.7,44.4,45.9,51.5,49.8,52.1,47.2,63.8,77,62.8,56.7,63.1,63.5,64.7,67.9,60.4,42.3,42.1,40.9,38.3,36.1,34.6,31.5,29.7,28.7,28.3,29.8,32.3,30,29.9,28.5,26.3,25.3,23.8,27.1,28.5,29.3,29.7,29.8,28.8,27.7,29.3,25.4,22.7,21.5,21.7,20.6,19.6,16.3,15,14.9,14
+Canada,2.23,2.4,2.58,2.75,2.95,3.27,3.45,3.91,4.46,4.13,3.52,3.21,3.18,3.13,3.55,3.39,3.04,2.98,3.11,3.28,3.31,3.27,3.4,3.53,3.39,3.35,3.32,3.42,3.56,3.68,3.82,3.9,4.04,4.15,3.97,4.05,4.05,4.23,4.43,4.53,4.41,4.61,4.7,4.58,4.52,4.69,4.92,5.23,5.53,5.88,6,6.01
+Chad,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.132,0.91,0.905,0.772,0.7,0.601,0.538,0.539,0.486,0.418,0.332,0.319,0.272,0.266
+China,0.0157,0.0196,0.0182,0.0204,0.0271,0.0372,0.0466,0.0528,0.0606,0.0718,0.0837,0.093,0.0984,0.108,0.108,0.107,0.1,0.0999,0.102,0.109,0.117,0.12,0.121,0.121,0.119,0.118,0.119,0.118,0.118,0.119,0.12,0.127,0.127,0.126,0.126,0.127,0.128,0.129,0.13,0.132,0.137,0.139,0.139,0.142,0.14,0.149,0.148,0.151,0.152,0.152,0.154,0.142
+Colombia,0.557,0.53,0.496,0.443,0.523,0.533,0.516,0.457,0.42,0.375,0.343,0.314,0.288,0.268,0.246,0.245,0.256,0.263,0.276,0.297,0.307,0.507,0.63,0.606,0.635,0.682,0.647,0.654,0.664,0.655,0.828,0.877,0.901,1.03,1.1,0.898,0.776,0.732,0.676,0.653,0.64,0.636,0.631,0.692,0.778,0.902,1.04,1.06,1.12,1.09,1.1,1
+"Congo, Rep.",0.06,0.0509,0.0399,0.0334,0.0181,0.0139,0.00995,0.232,1.4,1.59,1.13,1.28,0.972,1.4,1.55,1.72,2.16,2.33,2.67,2.91,2.79,2.72,2.81,3.04,3.35,3.29,3.21,3.35,3.6,3.51,3.31,3.6,3.91,4.46,4.38,4.19,3.78,3.54,3.14,3.18,3.38,3.7,2.89,2.96,3.31,3.66,3.39,3.09,2.65,2.75,2.59,2.33
+Denmark,,,,,,,,0.0196,0.0291,0.0193,0.0289,0.0385,0.0956,0.0763,0.0762,0.0572,0.143,0.323,0.409,0.449,0.572,0.705,0.886,0.916,1.06,1.15,1.34,1.48,1.58,1.73,1.73,1.93,2.12,2.19,2.74,3.32,3.17,3.36,3.33,3.53,3.42,3.09,2.77,2.55,2.33,2.19,1.96,1.78,1.54,1.44,1.35,1.21
+Ecuador,0.0817,0.0694,0.0578,0.0469,0.0363,0.0353,0.0343,0.652,1.69,1.4,1.23,1.41,1.33,1.44,1.48,1.38,1.39,1.35,1.49,1.58,1.68,1.71,0.988,1.69,1.53,1.52,1.56,1.63,1.71,1.84,1.84,1.79,1.77,1.68,1.64,1.71,1.7,1.61,1.69,2.1,2.08,2.06,1.93,1.88,1.78,1.75,1.77,1.76,1.8,1.88,1.8,1.79
+Egypt,0.21,0.197,0.172,0.257,0.359,0.468,0.417,0.292,0.226,0.194,0.299,0.414,0.509,0.6,0.608,0.675,0.711,0.718,0.765,0.856,0.898,0.797,0.872,0.811,0.795,0.792,0.773,0.766,0.776,0.744,0.731,0.694,0.662,0.638,0.603,0.557,0.528,0.513,0.501,0.462,0.432,0.424,0.425,0.428,0.428,0.416,0.403,0.395,0.383,0.383,0.378,0.354
+Equatorial Guinea,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.218,0.526,0.508,0.687,1.61,5.46,7.25,8.39,9.27,14.6,16.7,18.3,22.8,21.7,19.7,19.2,18.5,15.6,13.3,11.7,12.2,11.5,11.6,11.5,10.7
+Gabon,2.38,2.67,6.22,8.2,8.7,9.19,9.63,10.3,12.2,16,17.4,17.1,16.6,15.3,13.8,12.2,10.2,10.2,10,10.8,10.4,9.72,8.81,9.86,11,14.2,15,14.4,14.8,15.9,16.3,16.4,15.9,14.4,14.1,11.2,10.4,9.87,10.3,10,9.62,8.36,8.23,7.81,7.58,7.58,7.38,7.21,6.37,6.18,5.94,5.74
+India,0.00607,0.00914,0.0109,0.011,0.0124,0.0123,0.0127,0.0127,0.0121,0.0123,0.0133,0.0136,0.0157,0.0169,0.0189,0.0135,0.021,0.0272,0.034,0.0369,0.0386,0.0396,0.0376,0.0387,0.0404,0.0393,0.0362,0.0322,0.0302,0.0344,0.0382,0.0355,0.0357,0.0341,0.0335,0.0324,0.0318,0.0323,0.0319,0.0323,0.0305,0.031,0.0309,0.0316,0.0313,0.0335,0.0344,0.0337,0.0332,0.0322,0.0314,0.0304
+Indonesia,0.245,0.232,0.243,0.279,0.29,0.375,0.382,0.452,0.544,0.545,0.504,0.568,0.619,0.584,0.552,0.536,0.53,0.431,0.447,0.464,0.402,0.418,0.407,0.385,0.402,0.41,0.439,0.409,0.403,0.397,0.388,0.384,0.373,0.361,0.329,0.339,0.318,0.291,0.261,0.248,0.237,0.219,0.205,0.209,0.202,0.2,0.188,0.179,0.169,0.162,0.158,0.165
+Iran,3.83,4.17,4.96,5.28,6.1,6.75,7.81,8.44,9.56,9.54,8.23,8.8,8.21,7.36,4.31,1.92,1.65,2.87,2.81,2.25,2.33,2.08,2.28,2.21,2.63,2.9,3.04,3.02,3.12,3.1,3.06,3.03,2.98,2.99,2.74,2.9,2.83,2.64,2.94,3,2.95,2.96,2.96,2.96,2.81,2.84,2.82,2.36,2.19,2.22,2.29,2.7
+Iraq,7.72,7.93,6.76,8.02,7.82,7.69,8.14,6.83,9.08,8.6,9.56,9.9,9.31,9.84,12.9,9.6,3.17,3.36,3.67,3.98,4.48,5.85,7.2,8.21,8.16,6.03,0.777,1.42,1.17,1.27,1.29,1.37,2.66,4.7,5.61,5.47,5.11,4.16,2.58,3.8,3.33,3.54,3.7,4.1,4.01,3.95,4.31,4.65,4.52,4.58,5.46,5.89
+Italy,0.044,0.0355,0.0328,0.0308,0.0299,0.028,0.0251,0.0223,0.0202,0.0201,0.0223,0.0232,0.0223,0.0266,0.0305,0.0303,0.0263,0.0311,0.0394,0.0399,0.0418,0.0448,0.0689,0.0847,0.0806,0.0817,0.0758,0.0787,0.0811,0.0855,0.0915,0.0953,0.104,0.0984,0.0877,0.08,0.0718,0.0957,0.0958,0.0935,0.104,0.0977,0.0988,0.088,0.0767,0.0855,0.0888,0.0903,0.0932,0.0977,0.0927,0.0639
+Kazakhstan,,,,,,,,,,,,,,,,,,,,,1.44,1.46,1.49,1.53,1.54,1.56,1.61,1.57,1.41,1.25,1.29,1.45,1.65,1.69,1.99,2.35,2.67,3.13,3.38,3.87,3.96,4.15,4.24,4.42,4.73,4.86,4.81,4.69,4.78,4.64,4.52,4.41
+Kuwait,251,239,218,210,204,203,203,196,169,135,104,101,87.1,88.6,99.7,63.3,40.6,28.2,34.8,36.7,31.9,32.3,26.8,30.9,32.6,22.3,4.53,28.1,54.3,62.1,65.1,64.4,61.3,59.9,52.4,53.6,50.5,46.1,53.3,55.8,57.3,56.2,51.9,51.3,42.9,41.1,44.1,45.3,42.1,39.7,37.7,37.7
+Libya,33.5,39.7,43.8,63.2,72.3,74.8,58.6,45.9,43,29,27,33.9,34.8,32.1,32.6,27.4,17.7,15.9,15,12.9,12.5,12.6,11.5,11.8,12.7,15.2,14.9,15,13.9,13.9,13.7,13.6,13.7,13.4,12.7,13,12.3,11.7,12.4,13.4,14.2,14.5,14.3,14.1,12.6,12.6,3.64,11.5,7.51,3.77,3.25,3.18
+Malaysia,0.00501,0.00488,0.00476,0.0186,0.0408,0.0796,0.298,0.393,0.375,0.326,0.385,0.642,0.684,0.786,1,0.958,0.875,1,1.24,1.41,1.36,1.49,1.43,1.51,1.6,1.64,1.66,1.64,1.57,1.56,1.63,1.61,1.55,1.54,1.43,1.44,1.37,1.41,1.43,1.44,1.35,1.25,1.27,1.25,1.17,1.16,1.03,1.02,0.96,0.982,1.05,1.05
+Mexico,0.405,0.402,0.431,0.448,0.455,0.465,0.449,0.452,0.451,0.549,0.66,0.715,0.845,1.01,1.19,1.55,1.8,2.08,1.98,1.96,1.89,1.73,1.78,1.74,1.71,1.7,1.76,1.72,1.69,1.67,1.6,1.7,1.74,1.76,1.65,1.67,1.71,1.7,1.78,1.78,1.72,1.66,1.54,1.38,1.27,1.24,1.21,1.19,1.16,1.1,1.01,0.951
+Nigeria,0.269,0.402,0.3,0.13,0.486,0.954,1.32,1.53,1.68,1.8,1.39,1.57,1.54,1.35,1.59,1.38,0.94,0.82,0.766,0.841,0.883,0.842,0.753,0.812,0.936,0.961,0.982,0.989,0.961,0.922,0.903,0.948,0.997,0.911,0.845,0.863,0.885,0.796,0.837,0.893,0.887,0.831,0.768,0.683,0.682,0.751,0.712,0.684,0.635,0.639,0.618,0.531
+Norway,,,,,,,0.075,0.41,0.394,0.428,2.3,3.39,3.46,4.28,4.79,6.13,5.93,6.14,7.61,8.69,9.44,10.3,12,13.5,17.7,19.3,22,24.9,26.4,29.6,31.7,35.2,35.3,33.6,33.5,35.7,35.9,34.7,33.7,32.7,29.9,27.6,25.1,24,22.5,20.2,19,17.4,16.4,16.6,16.9,17.2
+Oman,,,4.28,17.6,23.1,22.7,19.4,18,18,17.1,19.1,19.7,17.2,15.1,13.4,12.2,13.4,12.9,14.2,14.5,16.5,17.8,17.9,18.4,18.4,18.9,18.6,18.7,18.7,18.8,19.4,19.8,20,19.9,19.8,20.7,20.4,18.9,16.9,15.7,15.1,14,13.1,13.4,13.8,13.9,13.3,13,12.4,11.7,11.4,11.1
+Peru,0.292,0.284,0.31,0.315,0.298,0.29,0.241,0.247,0.261,0.276,0.249,0.257,0.298,0.48,0.595,0.59,0.568,0.561,0.479,0.506,0.504,0.467,0.421,0.355,0.319,0.31,0.271,0.269,0.285,0.282,0.267,0.259,0.251,0.238,0.217,0.198,0.192,0.189,0.175,0.172,0.193,0.198,0.194,0.199,0.225,0.237,0.226,0.223,0.233,0.236,0.198,0.176
+Qatar,158,182,187,182,176,165,179,184,200,168,132,140,119,125,123,106,83.4,60.8,49.6,50.2,41.3,43.4,36.2,39.8,42.6,44.3,41.9,47.6,43.5,42.1,42.5,51.9,62.2,61,60.2,67.9,64.9,57.9,63.7,65.9,60.9,56.2,48.4,46.5,39.3,40,40,39,35.7,33.5,31.9,30.9
+Romania,0.662,0.668,0.679,0.675,0.667,0.666,0.678,0.687,0.689,0.692,0.691,0.69,0.681,0.633,0.566,0.531,0.534,0.535,0.527,0.519,0.487,0.459,0.43,0.42,0.41,0.346,0.299,0.292,0.298,0.302,0.303,0.3,0.298,0.292,0.286,0.284,0.284,0.278,0.271,0.264,0.254,0.235,0.226,0.227,0.218,0.21,0.208,0.197,0.206,0.203,0.201,0.192
+Russia,,,,,,,,,,,,,,,,,,,,,3.79,3.9,3.93,3.89,3.76,3.5,3.12,2.69,2.39,2.14,2.1,2.05,2.08,2.06,2.07,2.23,2.41,2.64,2.94,3.22,3.31,3.39,3.47,3.45,3.5,3.58,3.62,3.67,3.7,3.72,3.76,3.85
+Saudi Arabia,22.9,26.1,27.2,28.6,29.1,32.9,39.5,47.6,57.2,60.9,48.4,55.9,56.9,48.9,53.2,52.3,48.8,30.8,20.4,17.5,13,18.2,15.2,18.2,17.2,21,25.4,25.5,24.2,23.9,23.3,23.3,23.2,22.9,20.8,22,20.7,19.4,21.6,21.5,21.8,20.7,19.4,19.7,17.1,17.3,18.6,18.9,18,17.7,18,18.1
+South Sudan,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.142,0.439,0.664,0.612,0.477
+Sudan,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.00437,0.00422,0.00409,0.00996,0.0175,0.0227,0.117,0.325,0.368,0.406,0.439,0.476,0.468,0.555,0.737,0.685,0.696,0.662,0.408,0.142,0.158,0.156,0.139,0.129
+Syria,,,,0.177,0.43,0.666,0.803,0.859,0.785,0.882,1.27,1.29,1.13,1.07,0.964,0.883,0.883,0.805,0.807,0.786,0.745,0.907,1.01,1.14,1.4,1.63,1.83,1.94,2.07,2.01,2.06,1.98,1.89,1.83,1.8,1.71,1.78,1.92,1.81,1.32,1.18,1.07,0.992,0.966,0.928,0.882,0.812,0.396,0.136,0.076,0.0639,0.0597
+Thailand,,,,,,,,,,,,,,,,,0.00139,0.0049,0.0117,0.0208,0.0386,0.0373,0.0336,0.0379,0.0367,0.0431,0.0493,0.0571,0.0582,0.058,0.0558,0.0628,0.0705,0.0724,0.078,0.108,0.116,0.127,0.149,0.144,0.176,0.191,0.2,0.21,0.217,0.222,0.227,0.245,0.242,0.237,0.247,0.255
+Trinidad and Tobago,7.31,8.22,9.56,10.2,8.29,7.33,6.68,7.23,8.37,9.29,10.6,10.3,10.9,10.8,9.91,9.7,8.49,7.82,6.96,7.3,7.38,7.01,6.37,6.18,6.05,6.04,5.89,5.62,5.19,5.41,5.37,5.3,5.11,5.07,5.25,5.31,5.11,5.87,6.27,5.86,6.21,6.36,5.46,5.32,5.15,4.68,4.42,3.85,3.77,3.73,3.54,3.17
+Tunisia,,0.166,0.473,0.659,0.749,0.82,0.794,0.752,0.717,0.749,0.815,0.642,0.728,0.817,0.892,0.884,0.826,0.764,0.798,0.769,0.739,0.699,0.651,0.627,0.616,0.574,0.647,0.634,0.571,0.517,0.495,0.484,0.45,0.436,0.444,0.405,0.369,0.382,0.347,0.356,0.368,0.351,0.482,0.438,0.411,0.373,0.34,0.357,0.327,0.301,0.267,0.255
+Turkmenistan,,,,,,,,,,,,,,,,,,,,,2.09,1.97,1.9,1.64,1.6,1.55,1.43,1.33,1.09,1.02,0.967,1.02,1.23,1.44,1.58,1.56,1.73,1.93,2.13,2.04,2,1.91,2.02,2.11,2.1,2.12,2.09,2.13,2.18,2.22,2.29,2.24
+United Arab Emirates,90.8,109,109,132,142,157,192,190,178,168,148,145,129,104,93.1,80.9,66.1,54.7,48.6,45.5,41.9,49.9,47.8,45.7,54.1,57.8,63.2,56.8,51.9,49.9,45.9,45.8,45.2,44.1,40.2,39.5,35.9,32.1,33.7,32.3,29.6,27.5,23.1,20.5,16.5,16.1,17.4,17.4,18.3,18.3,19.2,19.7
+United Kingdom,0.00155,0.00143,0.00162,0.00152,0.00153,0.0028,0.0038,0.00595,0.00663,0.0073,0.0279,0.216,0.68,0.96,1.38,1.43,1.59,1.83,2.04,2.24,2.26,2.25,2.18,2.01,1.61,1.6,1.59,1.64,1.74,2.19,2.24,2.23,2.19,2.27,2.33,2.14,1.97,1.96,1.78,1.6,1.41,1.27,1.25,1.16,1.09,0.998,0.817,0.695,0.63,0.616,0.694,0.723
+United States,2.14,2.25,2.37,2.44,2.46,2.55,2.49,2.47,2.39,2.26,2.14,2.07,2.07,2.15,2.1,2.09,2.06,2.05,2.04,2.08,2.07,1.98,1.9,1.85,1.72,1.65,1.66,1.6,1.53,1.47,1.44,1.42,1.4,1.34,1.26,1.23,1.21,1.19,1.15,1.11,1.05,1.02,1.02,0.996,1.05,1.08,1.11,1.25,1.42,1.65,1.77,1.69
+Uzbekistan,,,,,,,,,,,,,,,,,,,,,0.128,0.136,0.14,0.125,0.135,0.137,0.134,0.154,0.182,0.246,0.332,0.327,0.333,0.339,0.331,0.302,0.285,0.282,0.276,0.251,0.206,0.201,0.181,0.172,0.158,0.128,0.123,0.107,0.0953,0.0904,0.086,0.0822
+Venezuela,18.7,17.6,17.9,17.6,17,17,15.9,14.1,14.4,12.4,9.51,9.08,8.6,8.05,8.53,7.65,7.21,6.34,5.85,5.72,5.23,5.51,5.44,5.56,5.45,5.93,6.46,6.33,6.4,6.65,7,7.29,7.42,7.54,6.62,6.55,6.53,6.01,5.7,6.46,6.33,6.28,5.98,5.88,5.46,5.02,4.8,4.66,4.54,4.51,4.36,3.93
+Vietnam,,,,,,,,,,,,,,,,,,,,,,,0.00438,0.0106,0.0223,0.0396,0.0568,0.0772,0.0868,0.096,0.102,0.116,0.13,0.154,0.184,0.205,0.21,0.211,0.212,0.248,0.225,0.202,0.189,0.175,0.19,0.176,0.176,0.191,0.19,0.195,0.186,0.169
+Yemen,,,,,,,,,,,,,,,,,,,,,,0.0467,0.117,0.738,0.739,0.722,0.744,0.655,0.706,1.12,1.09,1.06,1.08,1.07,1.1,1.19,1.17,1.14,1.09,0.998,0.961,0.858,0.733,0.66,0.625,0.605,0.418,0.321,0.348,0.256,0.0738,0.0283

data/yearly_co2_emissions_1000_tonnes.csv ADDED Viewed

The diff for this file is too large to render. See raw diff

images/gw.jpg ADDED Viewed

pages/Automobile Data Analysis.py ADDED Viewed

	@@ -0,0 +1,69 @@

+import pandas as pd
+import numpy as np
+import plotly.express as px
+import streamlit as st
+st.set_page_config(
+    page_icon='📈',
+    page_title="Automobile Data Analysis",
+    layout='wide'
+)
+years = ['2002','2003','2004','2005','2006','2007']
+@st.cache_data
+def load_data():
+    df=pd.read_csv('data/cars_trucks_and_buses_per_1000_persons.csv')
+    df.rename(columns={'geo':'Country'},inplace=True)
+    df.set_index('Country',inplace=True)
+    df['Total'] = df[years].sum(axis=1)
+    df['Avgrage']=df.mean(axis=1)
+    df['Maximum']=df.max(axis=1)
+    df.sort_index(inplace=True)
+    return df
+st.title('Cars Trucks and Buses Per 1000 Persons')
+df = load_data()
+st.dataframe(df,use_container_width=True)
+countries= df.index.unique().tolist()
+Graphs = ['bar','pie','line','area','histogram']
+c1,c2 = st.columns(2)
+country = c1.selectbox("Select a Country", countries)
+Graph = c2.selectbox("Select a Graph type", Graphs)
+st.header("Country wise visualization")
+cdf = df.loc[country,years].reset_index()
+cdf.rename({'index':'Years'},axis=1, inplace=True)
+if Graph == Graphs[0]:
+    fig = px.bar(cdf, 'Years',country, title=f'{country} Cars trucks and buses per 1000 persons')
+if Graph == Graphs[1]:
+    fig = px.pie(cdf, 'Years',country, title=f'{country} Cars trucks and buses per 1000 persons')
+if Graph == Graphs[2]:
+    fig = px.line(cdf, 'Years',country, title=f'{country} Cars trucks and buses per 1000 persons')
+if Graph == Graphs[3]:
+    fig = px.area(cdf, 'Years',country, title=f'{country} Cars trucks and buses per 1000 persons')
+if Graph == Graphs[4]:
+    fig = px.histogram(cdf, 'Years',country, title=f'{country} Cars trucks and buses per 1000 persons')
+st.plotly_chart(fig, use_container_width=True)
+st.header("Comparison of Countries")
+clist = st.multiselect("Select countries to compare", countries, default='India')
+cdf = df.loc[clist, years].T # T to rotate the data in 90deg
+st.write(cdf)
+figc = px.line(cdf,cdf.index, clist, title=f'Comparing {", ".join(clist)}')
+st.plotly_chart(figc, use_container_width=True)
+df.sort_values(by='Total', ascending=False, inplace=True)
+fig1=px.bar(df, x=df.index, y='Total',title='Total number of cars, trucks and buese per 1000 person')
+st.plotly_chart(fig1, use_container_width=True)
+dfavg = df.sort_values(by='Avgrage').reset_index()
+dfavg.rename({'index':'Country'},axis=1,inplace=True)
+fig2=px.bar(dfavg, 'Country', 'Avgrage', title="Avgrage Use of vehicle per 1000 person")
+st.plotly_chart(fig2, use_container_width=True)
+dfmax=df.sort_values(by='Maximum').reset_index()
+dfmax.rename({'index':'Country'},axis=1,inplace=True)
+fig3=px.bar(dfmax,'Country','Maximum',title='Maximum cars, bus and truck per 1000 person')
+st.plotly_chart(fig3, use_container_width=True)

pages/Carbon dioxide data Analysis.py ADDED Viewed

	@@ -0,0 +1,87 @@

+import pandas as pd
+import numpy as np
+import plotly.express as px
+import streamlit as st
+st.set_page_config(
+    page_title='Carbon dioxide data Analysis',
+    page_icon='📈',
+    layout='wide'
+)
+years=['1895','1896','1897','1898','1899','1900','1901','1902','1903','1904','1905','1906','1907','1908','1909',
+'1910','1911','1912','1913','1914','1915','1916','1917','1918','1919','1920','1921','1922','1923','1924',
+'1925','1926','1927','1928','1929','1930','1931','1932','1933','1934','1935','1936','1937','1938','1939',
+'1940','1941','1942','1943','1944','1945','1946','1947','1948','1949','1950','1951','1952','1953','1954',
+'1955','1956','1957','1958','1959','1960','1961','1962','1963','1964','1965','1966','1967','1968','1969',
+'1970','1971','1972','1973','1974','1975','1976','1977','1978','1979','1980','1981','1982','1983','1984',
+'1985','1986','1987','1988','1989','1990','1991','1992','1993','1994','1995','1996','1997','1998','1999',
+'2000','2001','2002','2003','2004','2005','2006','2007','2008','2009','2010','2011','2012','2013','2014']
+@st.cache_data
+def load_data():
+    df=pd.read_csv('data/co2_emissions_tonnes_per_person.csv')
+    df.rename({'geo':'Country'},axis=1,inplace=True)
+    df.set_index('Country',inplace=True)
+    df.drop(['1800','1801','1802', '1803', '1804', '1805', '1806', '1807', '1808', '1809', '1810', '1811', '1812', '1813',
+    '1814','1815', '1816', '1817', '1818', '1819', '1820', '1821', '1822', '1823', '1824', '1825', '1826', '1827', '1828',
+    '1829', '1830', '1831','1832', '1833', '1834','1835','1836', '1837', '1838', '1839', '1840', '1841', '1842', '1843',
+    '1844', '1845', '1846', '1847', '1848', '1849', '1850', '1851', '1852', '1853', '1854', '1855', '1856', '1857', '1858', '1859', '1860', '1861', '1862',
+    '1863', '1864', '1865', '1866', '1867','1868', '1869', '1870','1871', '1872', '1873', '1874','1875', '1876', '1877', '1878', '1879', '1880', '1881',
+    '1882','1883', '1884', '1885', '1886', '1887','1888', '1889','1890', '1891','1892', '1893', '1894'], axis=1,inplace=True)
+    df['Total']=df[years].sum(axis=1)
+    df['Average']=df.mean(axis=1)
+    df['Maximum']=df.max(axis=1)
+    df.sort_index(inplace=True)
+    return df
+st.title('CO2 Emissions Tonnes Per Person')
+df=load_data()
+st.dataframe(df,use_container_width=True)
+countries= df.index.unique().tolist()
+Graphs = ['bar','pie','line','area','funnel']
+c1,c2 = st.columns(2)
+country = c1.selectbox("Select a Country", countries)
+Graph = c2.selectbox("Select a Graph type", Graphs)
+st.header('Country wise Visualization')
+cdf = df.loc[country,years].reset_index()
+cdf.rename({'index':'Years'},axis=1, inplace=True)
+if Graph == Graphs[0]:
+    fig = px.bar(cdf, 'Years',country, title=f'{country} co2 emissions tonnes by per person')
+if Graph == Graphs[1]:
+    fig = px.pie(cdf, 'Years',country, title=f'{country} co2 emissions tonnes by per person')
+if Graph == Graphs[2]:
+    fig = px.line(cdf, 'Years',country, title=f'{country} co2 emissions tonnes by per person')
+if Graph == Graphs[3]:
+    fig = px.area(cdf, 'Years',country, title=f'{country} co2 emissions tonnes by per person')
+if Graph == Graphs[4]:
+    fig = px.funnel(cdf, 'Years',country, title=f'{country} co2 emissions tonnes by per person')
+st.plotly_chart(fig, use_container_width=True)
+st.header('Comparison of Country')
+clist = st.multiselect("Select countries to compare", countries, default='India')
+cdf = df.loc[clist, years].T # T to rotate the data in 90deg
+cdf.rename({'index':'Years'},axis=1,inplace=True)
+st.write(cdf)
+figc = px.line(cdf,cdf.index, clist, title=f'Comparing {", ".join(clist)}')
+st.plotly_chart(figc, use_container_width=True)
+df.sort_values(by='Total', ascending=False, inplace=True)
+fig1=px.bar(df, x=df.index, y='Total',title='Total co2 emissions tonnes per person')
+st.plotly_chart(fig1, use_container_width=True)
+dfavg = df.sort_values(by='Average').reset_index()
+dfavg.rename({'index':'Country'},axis=1,inplace=True)
+fig2=px.bar(dfavg, 'Country', 'Average', title="Avgrage Use of vehicle per 1000 person")
+st.plotly_chart(fig2, use_container_width=True)
+dfmax=df.sort_values(by='Maximum').reset_index()
+dfmax.rename({'index':'Country'},axis=1,inplace=True)
+fig3=px.bar(dfmax,'Country','Maximum',title='Maximum co2 emission tonnes per person by Country' )
+st.plotly_chart(fig3, use_container_width=True)

pages/Coal Consumption data Analysis.py ADDED Viewed

	@@ -0,0 +1,87 @@

+import pandas as pd
+import numpy as np
+import plotly.express as px
+import streamlit as st
+st.set_page_config(
+    page_title='Coal Consumption data Analysis',
+    page_icon='📈',
+    layout='wide'
+)
+Years=['1965','1966','1967','1968','1969','1970','1971','1972','1973','1974','1975','1976','1977','1978','1979',
+'1980','1981','1982','1983','1984','1985','1986','1987','1988','1989','1990','1991','1992','1993','1994','1995',
+'1996','1997','1998','1999','2000','2001','2002','2003','2004','2005','2006','2007','2008','2009','2010','2011',
+'2012','2013','2014','2015','2016']
+@st.cache_data
+def load_data():
+    df=pd.read_csv('data/coal_consumption_per_cap.csv')
+    df.rename({'geo':'Country'},axis=1,inplace=True)
+    df.set_index('Country',inplace=True)
+    df.sort_values('Country',inplace=True)
+    df['Total']=df[Years].sum(axis=1)
+    df['Average']=df.mean(axis=1)
+    df['Minimum']=df.min(axis=1)
+    df['Maximum']=df.max(axis=1)
+    return df
+st.title('Coal Consumption Per Capital')
+df=load_data()
+st.dataframe(df,use_container_width=True)
+countries=df.index.unique().tolist()
+Graphs = ['bar','pie','line','area','funnel']
+c1,c2=st.columns(2)
+country = c1.selectbox("Select a Country",countries)
+Graph = c2.selectbox("Select a Graph type",Graphs)
+st.header("Country wise visualization")
+cdf = df.loc[country,Years].reset_index()
+cdf.rename({'index':'Years'},axis=1, inplace=True)
+if Graph == Graphs[0]:
+    fig = px.bar(cdf, 'Years',country, title=f'{country} coal consumption per cap')
+if Graph == Graphs[1]:
+    fig = px.pie(cdf, 'Years',country, title=f'{country} coal consumption per cap')
+if Graph == Graphs[2]:
+    fig = px.line(cdf, 'Years',country, title=f'{country} coal consumption per cap')
+if Graph == Graphs[3]:
+    fig = px.area(cdf, 'Years',country, title=f'{country} coal consumption per cap')
+if Graph == Graphs[4]:
+    fig = px.funnel(cdf, 'Years',country, title=f'{country} co2 emissions tonnes by per person')
+st.plotly_chart(fig, use_container_width=True)
+st.header("Comparison of Countries")
+clist = st.multiselect("Select countries to compare", countries, default='India')
+cdf = df.loc[clist, Years].T # T to rotate the data in 90deg
+st.write(cdf)
+figc = px.line(cdf,cdf.index, clist, title=f'Comparing {", ".join(clist)}')
+st.plotly_chart(figc, use_container_width=True)
+df.sort_values(by='Total', ascending=False, inplace=True)
+fig1=px.bar(df, x=df.index, y='Total',title='Total coal consumption per cap by Country')
+st.plotly_chart(fig1, use_container_width=True)
+dfavg = df.sort_values(by='Average').reset_index()
+dfavg.rename({'index':'Country'},axis=1,inplace=True)
+fig2=px.bar(dfavg, 'Country', 'Average', title="Average coal consumption per cap by Country")
+st.plotly_chart(fig2, use_container_width=True)
+dfmin=df.sort_values(by='Minimum').reset_index()
+dfmin.rename({'index':'Country'},axis=1,inplace=True)
+fig3=px.bar(dfmin,'Country','Minimum',title='Minimum coal consumption by Country' )
+st.plotly_chart(fig3, use_container_width=True)
+dfmax=df.sort_values(by='Maximum').reset_index()
+dfmax.rename({'index':'Country'},axis=1,inplace=True)
+fig4=px.bar(dfmax,'Country','Maximum',title='Maximum coal consumption by Country' )
+st.plotly_chart(fig4, use_container_width=True)
+dfcomp=df.sort_values(by='Country',ascending=False,inplace=True)
+fig5 = px.line(df, x=df.index, y='Maximum',title='Maximum and Minimum coal consumption comparisons')
+fig5.add_scatter(x=df.index, y=df['Minimum'], mode='lines',)
+st.plotly_chart(fig5, use_container_width=True)

pages/Electricity Generation data Analysis.py ADDED Viewed

	@@ -0,0 +1,97 @@

+import pandas as pd
+import numpy as np
+import plotly.express as px
+import streamlit as st
+st.set_page_config(
+    page_title='Electricity Generation data Analysis',
+    page_icon='📈',
+    layout='wide'
+)
+Years=['1985','1986','1987','1988','1989','1990','1991','1992','1993','1994','1995','1996','1997','1998','1999',
+'2000','2001','2002','2003','2004','2005','2006','2007','2008','2009','2010','2011','2012','2013','2014','2015',
+'2016']
+@st.cache_data
+def load_data():
+    df=pd.read_csv('data/electricity_generation_per_person.csv')
+    df.rename({'geo':'Country'},axis=1,inplace=True)
+    df.set_index('Country',inplace=True)
+    df.sort_values('Country',inplace=True)
+    df['Total']=df[Years].sum(axis=1)
+    df['Average']=df.mean(axis=1)
+    df['Maximum']=df.max(axis=1)
+    df['Minimum']=df.min(axis=1)
+    return df
+st.title('Electricity Generation Per Person')
+df=load_data()
+st.dataframe(df,use_container_width=True)
+countries=df.index.unique().tolist()
+Graphs=['bar','pie','line','area','funnel']
+c1,c2=st.columns(2)
+country=c1.selectbox('Select the Country',countries)
+Graph =c2.selectbox('Select a Graph type',Graphs)
+st.header("Country wise Visualization")
+cdf = df.loc[country,Years].reset_index()
+cdf.rename({'index':'Years'},axis=1, inplace=True)
+if Graph ==Graphs[0]:
+    fig = px.bar(cdf, 'Years',country, title=f'{country} elctricity generation per person')
+if Graph ==Graphs[1]:
+    fig = px.pie(cdf, 'Years',country, title=f'{country} elctricity generation per person')
+if Graph ==Graphs[2]:
+    fig = px.line(cdf, 'Years',country, title=f'{country} elctricity generation per person')
+if Graph ==Graphs[3]:
+    fig = px.area(cdf, 'Years',country, title=f'{country} elctricity generation per person')
+if Graph == Graphs[4]:
+    fig = px.funnel(cdf, 'Years',country, title=f'{country} co2 emissions tonnes by per person')
+st.plotly_chart(fig,use_container_width=True)
+st.header("Comparison of Countries")
+clist=st.multiselect('Select countries to compare',countries,default='India')
+cdf=df.loc[clist,Years].T
+figc=px.line(cdf,cdf.index,clist,title=f'Compareing {", ".join(clist)}')
+st.plotly_chart(figc, use_container_width=True)
+df.sort_values(by='Total', ascending=False, inplace=True)
+fig1=px.bar(df, x=df.index, y='Total',title='Total electricity generation by Country')
+st.plotly_chart(fig1, use_container_width=True)
+dfavg = df.sort_values(by='Average').reset_index()
+dfavg.rename({'index':'Country'},axis=1,inplace=True)
+fig2=px.bar(dfavg, 'Country', 'Average', title="Average electricity produced by Country")
+st.plotly_chart(fig2, use_container_width=True)
+dfmin=df.sort_values(by='Minimum').reset_index()
+dfmin.rename({'index':'Country'},axis=1,inplace=True)
+fig3=px.bar(dfmin,'Country','Minimum',title='Minimum electricity produced by Country' )
+st.plotly_chart(fig3, use_container_width=True)
+dfmax=df.sort_values(by='Maximum').reset_index()
+dfmax.rename({'index':'Country'},axis=1,inplace=True)
+fig4=px.bar(dfmax,'Country','Maximum',title='Maximum electricity produced by Country' )
+st.plotly_chart(fig4, use_container_width=True)
+dfcomp=df.sort_values(by='Country',ascending=False,inplace=True)
+fig5 = px.line(df, x=df.index, y='Maximum',title='Maximum and Minimum electricity produced comparisons')
+fig5.add_scatter(x=df.index, y=df['Minimum'], mode='lines',)
+st.plotly_chart(fig5, use_container_width=True)

pages/Electricity use data Analysis.py ADDED Viewed

	@@ -0,0 +1,96 @@

+import pandas as pd
+import numpy as np
+import plotly.express as px
+import streamlit as st
+st.set_page_config(
+    page_title='Electricity use data Analysis',
+    page_icon='📈',
+    layout='wide'
+)
+Years=['1971','1972','1973','1974','1975','1976','1977','1978','1979','1980','1981','1982','1983','1984',
+'1985','1986','1987','1988','1989','1990','1991','1992','1993','1994','1995','1996','1997','1998','1999',
+'2000','2001','2002','2003','2004','2005','2006','2007','2008','2009','2010','2011','2012','2013','2014']
+@st.cache_data
+@st.cache
+def load_data():
+    df=pd.read_csv('data/electricity_use_per_person.csv')
+    df.rename({'geo':'Country'},axis=1,inplace=True)
+    df.set_index('Country',inplace=True)
+    df.drop(['1960','1961','1962','1963','1964','1965','1966','1967','1968','1969','1970'],axis=1,inplace=True)
+    df.sort_values('Country',inplace=True)
+    df['Total']=df[Years].sum(axis=1)
+    df['Average']=df.mean(axis=1)
+    df['Minimum']=df.min(axis=1)
+    df['Maximum']=df.max(axis=1)
+    return df
+st.title('Electricity use per Person')
+df=load_data()
+st.dataframe(df,use_container_width=True)
+countries= df.index.unique().tolist()
+Graphs = ['bar','pie','line','area','funnel']
+c1,c2 = st.columns(2)
+country = c1.selectbox("Select a Country", countries)
+Graph = c2.selectbox("Select a Graph type", Graphs)
+st.header('Country wise Visualization')
+cdf = df.loc[country,Years].reset_index()
+cdf.rename({'index':'Years'},axis=1, inplace=True)
+if Graph == Graphs[0]:
+    fig = px.bar(cdf, 'Years',country, title=f'{country}  electricity use per person')
+if Graph == Graphs[1]:
+    fig = px.pie(cdf, 'Years',country, title=f'{country}  electricity use per person')
+if Graph == Graphs[2]:
+    fig = px.line(cdf, 'Years',country, title=f'{country}  electricity use per person')
+if Graph == Graphs[3]:
+    fig = px.area(cdf, 'Years',country, title=f'{country}  electricity use per person')
+if Graph == Graphs[4]:
+    fig = px.funnel(cdf, 'Years',country, title=f'{country}  electricity use per person')
+st.plotly_chart(fig, use_container_width=True)
+st.header('Comparison of Country')
+clist = st.multiselect("Select countries to compare", countries, default='India')
+cdf = df.loc[clist, Years].T # T to rotate the data in 90deg
+cdf.rename({'index':'Years'},axis=1,inplace=True)
+st.write(cdf)
+figc = px.line(cdf,cdf.index, clist, title=f'Comparing {", ".join(clist)}')
+st.plotly_chart(figc, use_container_width=True)
+df.sort_values(by='Total', ascending=False, inplace=True)
+fig1=px.bar(df, x=df.index, y='Total',title='Total electricity use per person by Country')
+st.plotly_chart(fig1,use_container_width=True)
+dfavg = df.sort_values(by='Average').reset_index()
+dfavg.rename({'index':'Country'},axis=1,inplace=True)
+fig2=px.bar(dfavg, 'Country', 'Average', title="Average electricity use by Country")
+st.plotly_chart(fig2,use_container_width=True)
+dfmin=df.sort_values(by='Minimum').reset_index()
+dfmin.rename({'index':'Country'},axis=1,inplace=True)
+fig3=px.bar(dfmin,'Country','Minimum',title='Minimum electricity use by Country' )
+st.plotly_chart(fig3,use_container_width=True)
+dfmax=df.sort_values(by='Maximum').reset_index()
+dfmax.rename({'index':'Country'},axis=1,inplace=True)
+fig4=px.bar(dfmax,'Country','Maximum',title='Maximum electricity use by Country' )
+st.plotly_chart(fig4,use_container_width=True)
+dfcomp=df.sort_values(by='Country',ascending=False,inplace=True)
+fig5 = px.line(df, x=df.index, y='Maximum',title='Maximum and Minimum electricity use comparisons')
+fig5.add_scatter(x=df.index, y=df['Minimum'], mode='lines',)
+st.plotly_chart(fig5,use_container_width=True)

pages/Forest Coverage data Analysis.py ADDED Viewed

	@@ -0,0 +1,125 @@

+import pandas as pd
+import numpy as np
+import plotly.express as px
+import streamlit as st
+st.set_page_config(
+    page_title=' Forest Coverage data Analysis',
+    page_icon='📈',
+    layout='wide'
+)
+Years=['1990','1991','1992','1993','1994','1995','1996','1997','1998','1999',
+'2000','2001','2002','2003','2004','2005','2006','2007','2008','2009','2010','2011','2012','2013','2014','2015']
+@st.cache_data
+def load_data():
+    df=pd.read_csv('data/forest_coverage_percent.csv')
+    df.rename({'geo':'Country'},axis=1,inplace=True)
+    df.set_index('Country',inplace=True)
+    df.sort_values('Country',inplace=True)
+    df['Total']=df[Years].sum(axis=1)
+    df['Average']=df.mean(axis=1)
+    df['Minimum']=df.min(axis=1)
+    df['Maximum']=df.max(axis=1)
+    return df
+st.title('Forest Coverage Percentage')
+df=load_data()
+st.dataframe(df,use_container_width=True)
+countries= df.index.unique().tolist()
+Graphs = ['bar','pie','line','area','funnel']
+c1,c2 = st.columns(2)
+country = c1.selectbox("Select a Country", countries)
+Graph = c2.selectbox("Select a Graph type", Graphs)
+st.header('Country wise Visualization')
+cdf = df.loc[country,Years].reset_index()
+cdf.rename({'index':'Years'},axis=1, inplace=True)
+if Graph == Graphs[0]:
+    fig = px.bar(cdf, 'Years',country, title=f'{country}  forest coverage percentage')
+if Graph == Graphs[1]:
+    fig = px.pie(cdf, 'Years',country, title=f'{country}  forest coverage percentage')
+if Graph == Graphs[2]:
+    fig = px.line(cdf, 'Years',country, title=f'{country}  forest coverage percentage')
+if Graph == Graphs[3]:
+    fig = px.area(cdf, 'Years',country, title=f'{country}  forest coverage percentage')
+if Graph == Graphs[4]:
+    fig = px.funnel(cdf, 'Years',country, title=f'{country}  forest coverage percentage')
+st.plotly_chart(fig, use_container_width=True)
+st.header('Comparison of Country')
+clist = st.multiselect("Select countries to compare", countries, default='India')
+cdf = df.loc[clist, Years].T # T to rotate the data in 90deg
+cdf.rename({'index':'Years'},axis=1,inplace=True)
+st.write(cdf)
+figc = px.line(cdf,cdf.index, clist, title=f'Comparing {", ".join(clist)}')
+st.plotly_chart(figc, use_container_width=True)
+df.sort_values(by='Total', ascending=False, inplace=True)
+fig1=px.bar(df, x=df.index, y='Total',title='Total forest coverage percent')
+st.plotly_chart(fig1,use_container_width=True)
+dfavg = df.sort_values(by='Average').reset_index()
+dfavg.rename({'index':'Country'},axis=1,inplace=True)
+fig2=px.bar(dfavg, 'Country', 'Average', title="Average percent of forest coverage by Country")
+st.plotly_chart(fig2,use_container_width=True)
+dfmin=df.sort_values(by='Minimum').reset_index()
+dfmin.rename({'index':'Country'},axis=1,inplace=True)
+fig3=px.bar(dfmin,'Country','Minimum',title='Minimum forest coverage by the Country' )
+st.plotly_chart(fig3,use_container_width=True)
+dfmax=df.sort_values(by='Maximum').reset_index()
+dfmax.rename({'index':'Country'},axis=1,inplace=True)
+fig4=px.bar(dfmax,'Country','Maximum',title='Maximum forest coverage by the Country' )
+st.plotly_chart(fig4,use_container_width=True)
+dfcomp=df.sort_values(by='Country',ascending=False,inplace=True)
+fig5 = px.line(df, x=df.index, y='Maximum',title='Maximum and Minimum forest coverage by Country comparison')
+fig5.add_scatter(x=df.index, y=df['Minimum'], mode='lines',)
+st.plotly_chart(fig5,use_container_width=True)

pages/Hydro Power Generation data Analysis.py ADDED Viewed

	@@ -0,0 +1,86 @@

+import pandas as pd
+import numpy as np
+import plotly.express as px
+import streamlit as st
+st.set_page_config(
+    page_title='Hydro Power Generation data Analysis',
+    page_icon='📈',
+    layout='wide'
+)
+Years=['1971','1972','1973','1974','1975','1976','1977','1978','1979','1980','1981','1982','1983','1984',
+'1985','1986','1987','1988','1989','1990','1991','1992','1993','1994','1995','1996','1997','1998','1999',
+'2000','2001','2002','2003','2004','2005','2006','2007','2008','2009','2010']
+@st.cache_data
+def load_data():
+    df=pd.read_csv('data/hydro_power_generation_per_person.csv')
+    df.rename(columns={'geo':'Country'},inplace=True)
+    df.set_index('Country',inplace=True)
+    df.drop(['1960','1961','1962','1963','1964','1965','1966','1967','1968','1969','1970','2011'],axis=1,inplace=True)
+    df['Total'] = df[Years].sum(axis=1)
+    df['Avgrage']=df.mean(axis=1)
+    df['Maximum']=df.max(axis=1)
+    df['Minimum']=df.min(axis=1)
+    df.sort_index(inplace=True)
+    return df
+st.title('Hydro Power Generation Per Person')
+df = load_data()
+st.dataframe(df,use_container_width=True)
+countries= df.index.unique().tolist()
+Graphs = ['bar','pie','line','area','funnel']
+c1,c2 = st.columns(2)
+country = c1.selectbox("Select a Country", countries)
+Graph = c2.selectbox("Select a Graph type", Graphs)
+st.header("Country wise visualization")
+cdf = df.loc[country,Years].reset_index()
+cdf.rename({'index':'Years'},axis=1, inplace=True)
+if Graph == Graphs[0]:
+    fig = px.bar(cdf, 'Years',country, title=f'{country} hydro power generation per person')
+if Graph == Graphs[1]:
+    fig = px.pie(cdf, 'Years',country, title=f'{country} hydro power generation per person')
+if Graph == Graphs[2]:
+    fig = px.line(cdf, 'Years',country, title=f'{country} hydro power generation per person')
+if Graph == Graphs[3]:
+    fig = px.area(cdf, 'Years',country, title=f'{country} hydro power generation per person')
+if Graph == Graphs[4]:
+    fig = px.funnel(cdf, 'Years',country, title=f'{country} hydro power generation per person')
+st.plotly_chart(fig, use_container_width=True)
+st.header("Comparison of Countries")
+clist = st.multiselect("Select countries to compare", countries, default='India')
+cdf = df.loc[clist, Years].T # T to rotate the data in 90deg
+st.write(cdf)
+figc = px.line(cdf,cdf.index, clist, title=f'Comparing {", ".join(clist)}')
+st.plotly_chart(figc, use_container_width=True)
+df.sort_values(by='Total', ascending=False, inplace=True)
+fig1=px.bar(df, x=df.index, y='Total',title='Total hydro power generation per person')
+st.plotly_chart(fig1, use_container_width=True)
+dfavg = df.sort_values(by='Avgrage').reset_index()
+dfavg.rename({'index':'Country'},axis=1,inplace=True)
+fig2=px.bar(dfavg, 'Country', 'Avgrage', title="Avgrage hydro power generation")
+st.plotly_chart(fig2, use_container_width=True)
+dfmax=df.sort_values(by='Maximum').reset_index()
+dfmax.rename({'index':'Country'},axis=1,inplace=True)
+fig3=px.bar(dfmax,'Country','Maximum',title='Maximum hydro power generation by the Country')
+st.plotly_chart(fig3, use_container_width=True)
+dfmin=df.sort_values(by='Minimum').reset_index()
+dfmin.rename({'index':'Country'},axis=1,inplace=True)
+fig4=px.bar(dfmin,'Country','Minimum',title='Minimum hydro power generation by the Country' )
+st.plotly_chart(fig4,use_container_width=True)
+dfcomp=df.sort_values(by='Country',ascending=False,inplace=True)
+fig5 = px.line(df, x=df.index, y='Maximum',title='Maximum and Minimum hydro power generation comparisons')
+fig5.add_scatter(x=df.index, y=df['Minimum'], mode='lines',)
+st.plotly_chart(fig5, use_container_width=True)

pages/Income per Person GDP data Analysis.py ADDED Viewed

	@@ -0,0 +1,97 @@

+import pandas as pd
+import numpy as np
+import plotly.express as px
+import streamlit as st
+st.set_page_config(
+    page_title='Income per Person GDP data Analysis',
+    page_icon='📈',
+    layout='wide'
+)
+Years=['1800','1801','1802','1803','1804','1805','1806','1807','1808','1809','1810','1811','1812','1813',
+'1814','1815','1816','1817','1818','1819','1820','1821','1822','1823','1824','1825','1826','1827','1828',
+'1829','1830','1831','1832','1833','1834','1835','1836','1837','1838','1839','1840','1841','1842','1843',
+'1844','1845','1846','1847','1848','1849','1850','1851','1852','1853','1854','1855','1856','1857','1858',
+'1859','1860','1861','1862','1863','1864','1865','1866','1867','1868','1869','1870','1871','1872','1873',
+'1874','1875','1876','1877','1878','1879','1880','1881','1882','1883','1884','1885','1886','1887','1888',
+'1889','1890','1891','1892','1893','1894','1895','1896','1897','1898','1899','1900','1901','1902','1903',
+'1904','1905','1906','1907','1908','1909','1910','1911','1912','1913','1914','1915','1916','1917','1918',
+'1919','1920','1921','1922','1923','1924','1925','1926','1927','1928','1929','1930','1931','1932','1933',
+'1934','1935','1936','1937','1938','1939','1940','1941','1942','1943','1944','1945','1946','1947','1948',
+'1949','1950','1951','1952','1953','1954','1955','1956','1957','1958','1959','1960','1961','1962','1963',
+'1964','1965','1966','1967','1968','1969','1970','1971','1972','1973','1974','1975','1976','1977','1978',
+'1979','1980','1981','1982','1983','1984','1985','1986','1987','1988','1989','1990','1991','1992','1993',
+'1994','1995','1996','1997','1998','1999','2000','2001','2002','2003','2004','2005','2006','2007','2008',
+'2009','2010','2011','2012','2013','2014','2015','2016','2017','2018']
+@st.cache_data
+def load_data():
+    df=pd.read_csv('data/income_per_person_gdppercapita_ppp_inflation_adjusted.csv')
+    df.rename(columns={'geo':'Country'},inplace=True)
+    df.set_index('Country',inplace=True)
+    df['Total'] = df[Years].sum(axis=1)
+    df['Avgrage']=df.mean(axis=1)
+    df['Maximum']=df.max(axis=1)
+    df['Minimum']=df.min(axis=1)
+    df.sort_index(inplace=True)
+    return df
+st.title('Income per Person GDP per Capital ppp Inflation Adjusted')
+df = load_data()
+st.dataframe(df,use_container_width=True)
+countries= df.index.unique().tolist()
+Graphs = ['bar','pie','line','area','funnel']
+c1,c2 = st.columns(2)
+country = c1.selectbox("Select a Country", countries)
+Graph = c2.selectbox("Select a Graph type", Graphs)
+st.header("Country wise visualization")
+cdf = df.loc[country,Years].reset_index()
+cdf.rename({'index':'Years'},axis=1, inplace=True)
+if Graph == Graphs[0]:
+    fig = px.bar(cdf, 'Years',country, title=f'{country} Income per Person GDP per Capital ppp Inflation Adjusted')
+if Graph == Graphs[1]:
+    fig = px.pie(cdf, 'Years',country, title=f'{country} Income per Person GDP per Capital ppp Inflation Adjusted')
+if Graph == Graphs[2]:
+    fig = px.line(cdf, 'Years',country, title=f'{country} Income per Person GDP per Capital ppp Inflation Adjusted')
+if Graph == Graphs[3]:
+    fig = px.area(cdf, 'Years',country, title=f'{country} Income per Person GDP per Capital ppp Inflation Adjusted')
+if Graph == Graphs[4]:
+    fig = px.funnel(cdf, 'Years',country, title=f'{country} Income per Person GDP per Capital ppp Inflation Adjusted')
+st.plotly_chart(fig, use_container_width=True)
+st.header("Comparison of Countries")
+clist = st.multiselect("Select countries to compare", countries, default='India')
+cdf = df.loc[clist, Years].T # T to rotate the data in 90deg
+st.write(cdf)
+figc = px.line(cdf,cdf.index, clist, title=f'Comparing {", ".join(clist)}')
+st.plotly_chart(figc, use_container_width=True)
+df.sort_values(by='Total', ascending=False, inplace=True)
+fig1=px.bar(df, x=df.index, y='Total',title='Total Income per Person GDP per Capital ppp Inflation Adjusted')
+st.plotly_chart(fig1, use_container_width=True)
+dfavg = df.sort_values(by='Avgrage').reset_index()
+dfavg.rename({'index':'Country'},axis=1,inplace=True)
+fig2=px.bar(dfavg, 'Country', 'Avgrage', title="Avgrage Income per Person GDP per Capital ppp Inflation Adjusted by Country")
+st.plotly_chart(fig2, use_container_width=True)
+dfmax=df.sort_values(by='Maximum').reset_index()
+dfmax.rename({'index':'Country'},axis=1,inplace=True)
+fig3=px.bar(dfmax,'Country','Maximum',title='Maximum Income per Person GDP per Capital ppp Inflation Adjusted by the Country')
+st.plotly_chart(fig3, use_container_width=True)
+dfmin=df.sort_values(by='Minimum').reset_index()
+dfmin.rename({'index':'Country'},axis=1,inplace=True)
+fig4=px.bar(dfmin,'Country','Minimum',title='Minimum Income per Person GDP per Capital ppp Inflation Adjusted by the Country' )
+st.plotly_chart(fig4,use_container_width=True)
+dfcomp=df.sort_values(by='Country',ascending=False,inplace=True)
+fig5 = px.line(df, x=df.index, y='Maximum',title='Maximum and Minimum Income per Person GDP per Capital ppp Inflation Adjusted comparisons')
+fig5.add_scatter(x=df.index, y=df['Minimum'], mode='lines',)
+st.plotly_chart(fig5, use_container_width=True)

pages/Industry GDP data Analysis.py ADDED Viewed

	@@ -0,0 +1,86 @@

+import pandas as pd
+import numpy as np
+import plotly.express as px
+import streamlit as st
+st.set_page_config(
+    page_title='Industry GDP data Analysis',
+    page_icon='📈',
+    layout='wide'
+)
+Years=['1960','1961','1962','1963','1964','1965','1966','1967','1968','1969',
+'1970','1971','1972','1973','1974','1975','1976','1977','1978','1979','1980','1981','1982','1983','1984',
+'1985','1986','1987','1988','1989','1990','1991','1992','1993','1994','1995','1996','1997','1998','1999',
+'2000','2001','2002','2003','2004','2005','2006','2007','2008','2009','2010','2011','2012','2013','2014','2015','2016','2017']
+@st.cache_data
+def load_data():
+    df=pd.read_csv('data/industry_percent_of_gdp.csv')
+    df.rename(columns={'geo':'Country'},inplace=True)
+    df.set_index('Country',inplace=True)
+    df['Total'] = df[Years].sum(axis=1)
+    df['Avgrage']=df.mean(axis=1)
+    df['Maximum']=df.max(axis=1)
+    df['Minimum']=df.min(axis=1)
+    df.sort_index(inplace=True)
+    return df
+st.title('Industry Percent of GDP')
+df = load_data()
+st.dataframe(df,use_container_width=True)
+countries= df.index.unique().tolist()
+Graphs = ['bar','pie','line','area','funnel']
+c1,c2 = st.columns(2)
+country = c1.selectbox("Select a Country", countries)
+Graph = c2.selectbox("Select a Graph type", Graphs)
+st.header("Country wise visualization")
+cdf = df.loc[country,Years].reset_index()
+cdf.rename({'index':'Years'},axis=1, inplace=True)
+if Graph == Graphs[0]:
+    fig = px.bar(cdf, 'Years',country, title=f'{country} Industry Percent of GDP')
+if Graph == Graphs[1]:
+    fig = px.pie(cdf, 'Years',country, title=f'{country} Industry Percent of GDP')
+if Graph == Graphs[2]:
+    fig = px.line(cdf, 'Years',country, title=f'{country} Industry Percent of GDP')
+if Graph == Graphs[3]:
+    fig = px.area(cdf, 'Years',country, title=f'{country} Industry Percent of GDP')
+if Graph == Graphs[4]:
+    fig = px.funnel(cdf, 'Years',country, title=f'{country} Industry Percent of GDP')
+st.plotly_chart(fig, use_container_width=True)
+st.header("Comparison of Countries")
+clist = st.multiselect("Select countries to compare", countries, default='India')
+cdf = df.loc[clist, Years].T # T to rotate the data in 90deg
+st.write(cdf)
+figc = px.line(cdf,cdf.index, clist, title=f'Comparing {", ".join(clist)}')
+st.plotly_chart(figc, use_container_width=True)
+df.sort_values(by='Total', ascending=False, inplace=True)
+fig1=px.bar(df, x=df.index, y='Total',title='Total Industry Percent of GDP')
+st.plotly_chart(fig1, use_container_width=True)
+dfavg = df.sort_values(by='Avgrage').reset_index()
+dfavg.rename({'index':'Country'},axis=1,inplace=True)
+fig2=px.bar(dfavg, 'Country', 'Avgrage', title="Avgrage Industry Percent of GDP by Country")
+st.plotly_chart(fig2, use_container_width=True)
+dfmax=df.sort_values(by='Maximum').reset_index()
+dfmax.rename({'index':'Country'},axis=1,inplace=True)
+fig3=px.bar(dfmax,'Country','Maximum',title='Maximum Industry Percent of GDP by the Country')
+st.plotly_chart(fig3, use_container_width=True)
+dfmin=df.sort_values(by='Minimum').reset_index()
+dfmin.rename({'index':'Country'},axis=1,inplace=True)
+fig4=px.bar(dfmin,'Country','Minimum',title='Minimum Industry Percent of GDP by the Country' )
+st.plotly_chart(fig4,use_container_width=True)
+dfcomp=df.sort_values(by='Country',ascending=False,inplace=True)
+fig5 = px.line(df, x=df.index, y='Maximum',title='Maximum and Minimum Industry Percent of GDP comparisons')
+fig5.add_scatter(x=df.index, y=df['Minimum'], mode='lines',)
+st.plotly_chart(fig5, use_container_width=True)

pages/Natural Gas data Analysis.py ADDED Viewed

	@@ -0,0 +1,86 @@

+import pandas as pd
+import numpy as np
+import plotly.express as px
+import streamlit as st
+st.set_page_config(
+    page_title='Natural Gas data Analysis',
+    page_icon='📈',
+    layout='wide'
+)
+Years=['1970','1971','1972','1973','1974','1975','1976','1977','1978','1979','1980','1981','1982','1983',
+'1984','1985','1986','1987','1988','1989','1990','1991','1992','1993','1994','1995','1996','1997','1998',
+'1999','2000','2001','2002','2003','2004','2005','2006','2007','2008','2009','2010','2011','2012','2013',
+'2014','2015','2016']
+@st.cache_data
+def load_data():
+    df=pd.read_csv('data/natural_gas_production_per_person.csv')
+    df.rename(columns={'geo':'Country'},inplace=True)
+    df.set_index('Country',inplace=True)
+    df['Total'] = df[Years].sum(axis=1)
+    df['Avgrage']=df.mean(axis=1)
+    df['Maximum']=df.max(axis=1)
+    df['Minimum']=df.min(axis=1)
+    df.sort_index(inplace=True)
+    return df
+st.title('Natural Gas Production per Person')
+df = load_data()
+st.dataframe(df,use_container_width=True)
+countries= df.index.unique().tolist()
+Graphs = ['bar','pie','line','area','funnel']
+c1,c2 = st.columns(2)
+country = c1.selectbox("Select a Country", countries)
+Graph = c2.selectbox("Select a Graph type", Graphs)
+st.header("Country wise visualization")
+cdf = df.loc[country,Years].reset_index()
+cdf.rename({'index':'Years'},axis=1, inplace=True)
+if Graph == Graphs[0]:
+    fig = px.bar(cdf, 'Years',country, title=f'{country} Natural Gas Production per Person')
+if Graph == Graphs[1]:
+    fig = px.pie(cdf, 'Years',country, title=f'{country} Natural Gas Production per Person')
+if Graph == Graphs[2]:
+    fig = px.line(cdf, 'Years',country, title=f'{country} Natural Gas Production per Person')
+if Graph == Graphs[3]:
+    fig = px.area(cdf, 'Years',country, title=f'{country} Natural Gas Production per Person')
+if Graph == Graphs[4]:
+    fig = px.funnel(cdf, 'Years',country, title=f'{country} Natural Gas Production per Person')
+st.plotly_chart(fig, use_container_width=True)
+st.header("Comparison of Countries")
+clist = st.multiselect("Select countries to compare", countries, default='India')
+cdf = df.loc[clist, Years].T # T to rotate the data in 90deg
+st.write(cdf)
+figc = px.line(cdf,cdf.index, clist, title=f'Comparing {", ".join(clist)}')
+st.plotly_chart(figc, use_container_width=True)
+df.sort_values(by='Total', ascending=False, inplace=True)
+fig1=px.bar(df, x=df.index, y='Total',title='Total Natural Gas Production per Person')
+st.plotly_chart(fig1, use_container_width=True)
+dfavg = df.sort_values(by='Avgrage').reset_index()
+dfavg.rename({'index':'Country'},axis=1,inplace=True)
+fig2=px.bar(dfavg, 'Country', 'Avgrage', title="Avgrage Natural Gas Production per Person by Country")
+st.plotly_chart(fig2, use_container_width=True)
+dfmax=df.sort_values(by='Maximum').reset_index()
+dfmax.rename({'index':'Country'},axis=1,inplace=True)
+fig3=px.bar(dfmax,'Country','Maximum',title='Maximum Natural Gas Production per Person by the Country')
+st.plotly_chart(fig3, use_container_width=True)
+dfmin=df.sort_values(by='Minimum').reset_index()
+dfmin.rename({'index':'Country'},axis=1,inplace=True)
+fig4=px.bar(dfmin,'Country','Minimum',title='Minimum Natural Gas Production per Person by the Country' )
+st.plotly_chart(fig4,use_container_width=True)
+dfcomp=df.sort_values(by='Country',ascending=False,inplace=True)
+fig5 = px.line(df, x=df.index, y='Maximum',title='Maximum and Minimum Natural Gas Production per Person comparisons')
+fig5.add_scatter(x=df.index, y=df['Minimum'], mode='lines',)
+st.plotly_chart(fig5, use_container_width=True)

pages/Oil Consumption data Analysis.py ADDED Viewed

	@@ -0,0 +1,86 @@

+import pandas as pd
+import numpy as np
+import plotly.express as px
+import streamlit as st
+st.set_page_config(
+    page_title='Oil Consumption data Analysis',
+    page_icon='📈',
+    layout='wide'
+)
+Years=['1965','1966','1967','1968','1969','1970','1971','1972','1973','1974','1975','1976','1977','1978',
+'1979','1980','1981','1982','1983','1984','1985','1986','1987','1988','1989','1990','1991','1992','1993',
+'1994','1995','1996','1997','1998','1999','2000','2001','2002','2003','2004','2005','2006','2007','2008',
+'2009','2010','2011','2012','2013','2014','2015','2016']
+@st.cache_data
+def load_data():
+    df=pd.read_csv('data/oil_consumption_per_cap.csv')
+    df.rename(columns={'geo':'Country'},inplace=True)
+    df.set_index('Country',inplace=True)
+    df['Total'] = df[Years].sum(axis=1)
+    df['Avgrage']=df.mean(axis=1)
+    df['Maximum']=df.max(axis=1)
+    df['Minimum']=df.min(axis=1)
+    df.sort_index(inplace=True)
+    return df
+st.title('Oil Consumption per Capital')
+df = load_data()
+st.dataframe(df,use_container_width=True)
+countries= df.index.unique().tolist()
+Graphs = ['bar','pie','line','area','funnel']
+c1,c2 = st.columns(2)
+country = c1.selectbox("Select a Country", countries)
+Graph = c2.selectbox("Select a Graph type", Graphs)
+st.header("Country wise visualization")
+cdf = df.loc[country,Years].reset_index()
+cdf.rename({'index':'Years'},axis=1, inplace=True)
+if Graph == Graphs[0]:
+    fig = px.bar(cdf, 'Years',country, title=f'{country} Oil Consumption per Capital')
+if Graph == Graphs[1]:
+    fig = px.pie(cdf, 'Years',country, title=f'{country} Oil Consumption per Capital')
+if Graph == Graphs[2]:
+    fig = px.line(cdf, 'Years',country, title=f'{country} Oil Consumption per Capital')
+if Graph == Graphs[3]:
+    fig = px.area(cdf, 'Years',country, title=f'{country} Oil Consumption per Capital')
+if Graph == Graphs[4]:
+    fig = px.funnel(cdf, 'Years',country, title=f'{country} Oil Consumption per Capital')
+st.plotly_chart(fig, use_container_width=True)
+st.header("Comparison of Countries")
+clist = st.multiselect("Select countries to compare", countries, default='India')
+cdf = df.loc[clist, Years].T # T to rotate the data in 90deg
+st.write(cdf)
+figc = px.line(cdf,cdf.index, clist, title=f'Comparing {", ".join(clist)}')
+st.plotly_chart(figc, use_container_width=True)
+df.sort_values(by='Total', ascending=False, inplace=True)
+fig1=px.bar(df, x=df.index, y='Total',title='Total Oil Consumption per Capital')
+st.plotly_chart(fig1, use_container_width=True)
+dfavg = df.sort_values(by='Avgrage').reset_index()
+dfavg.rename({'index':'Country'},axis=1,inplace=True)
+fig2=px.bar(dfavg, 'Country', 'Avgrage', title="Avgrage Oil Consumption per Capital by Country")
+st.plotly_chart(fig2, use_container_width=True)
+dfmax=df.sort_values(by='Maximum').reset_index()
+dfmax.rename({'index':'Country'},axis=1,inplace=True)
+fig3=px.bar(dfmax,'Country','Maximum',title='Maximum Oil Consumption per Capital by the Country')
+st.plotly_chart(fig3, use_container_width=True)
+dfmin=df.sort_values(by='Minimum').reset_index()
+dfmin.rename({'index':'Country'},axis=1,inplace=True)
+fig4=px.bar(dfmin,'Country','Minimum',title='Minimum Oil Consumption per Capital by the Country' )
+st.plotly_chart(fig4,use_container_width=True)
+dfcomp=df.sort_values(by='Country',ascending=False,inplace=True)
+fig5 = px.line(df, x=df.index, y='Maximum',title='Maximum and Minimum Oil Consumption per Capital comparisons')
+fig5.add_scatter(x=df.index, y=df['Minimum'], mode='lines',)
+st.plotly_chart(fig5, use_container_width=True)

pages/Oil Production data Analysis.py ADDED Viewed

	@@ -0,0 +1,85 @@

+import pandas as pd
+import numpy as np
+import plotly.express as px
+import streamlit as st
+st.set_page_config(
+    page_title='Oil Production data Analysis',
+    page_icon='📈',
+    layout='wide'
+)
+Years=['1965','1966','1967','1968','1969','1970','1971','1972','1973','1974','1975','1976','1977','1978',
+'1979','1980','1981','1982','1983','1984','1985','1986','1987','1988','1989','1990','1991','1992','1993',
+'1994','1995','1996','1997','1998','1999','2000','2001','2002','2003','2004','2005','2006','2007','2008',
+'2009','2010','2011','2012','2013','2014','2015','2016']
+@st.cache_data
+def load_data():
+    df=pd.read_csv('data/oil_production_per_person.csv')
+    df.rename(columns={'geo':'Country'},inplace=True)
+    df.set_index('Country',inplace=True)
+    df['Total'] = df[Years].sum(axis=1)
+    df['Avgrage']=df.mean(axis=1)
+    df['Maximum']=df.max(axis=1)
+    df['Minimum']=df.min(axis=1)
+    df.sort_index(inplace=True)
+    return df
+st.title('Oil Production per Person')
+df = load_data()
+st.dataframe(df,use_container_width=True)
+countries= df.index.unique().tolist()
+Graphs = ['bar','pie','line','area','funnel']
+c1,c2 = st.columns(2)
+country = c1.selectbox("Select a Country", countries)
+Graph = c2.selectbox("Select a Graph type", Graphs)
+st.header("Country wise visualization")
+cdf = df.loc[country,Years].reset_index()
+cdf.rename({'index':'Years'},axis=1, inplace=True)
+if Graph == Graphs[0]:
+    fig = px.bar(cdf, 'Years',country, title=f'{country} Oil Production per Person')
+if Graph == Graphs[1]:
+    fig = px.pie(cdf, 'Years',country, title=f'{country} Oil Production per Person')
+if Graph == Graphs[2]:
+    fig = px.line(cdf, 'Years',country, title=f'{country} Oil Production per Person')
+if Graph == Graphs[3]:
+    fig = px.area(cdf, 'Years',country, title=f'{country} Oil Production per Person')
+if Graph == Graphs[4]:
+    fig = px.funnel(cdf, 'Years',country, title=f'{country} Oil Production per Person')
+st.plotly_chart(fig, use_container_width=True)
+st.header("Comparison of Countries")
+clist = st.multiselect("Select countries to compare", countries, default='India')
+cdf = df.loc[clist, Years].T # T to rotate the data in 90deg
+st.write(cdf)
+figc = px.line(cdf,cdf.index, clist, title=f'Comparing {", ".join(clist)}')
+st.plotly_chart(figc, use_container_width=True)
+df.sort_values(by='Total', ascending=False, inplace=True)
+fig1=px.bar(df, x=df.index, y='Total',title='Total Oil Production per Person')
+st.plotly_chart(fig1, use_container_width=True)
+dfavg = df.sort_values(by='Avgrage').reset_index()
+dfavg.rename({'index':'Country'},axis=1,inplace=True)
+fig2=px.bar(dfavg, 'Country', 'Avgrage', title="Avgrage Oil Production by Country")
+st.plotly_chart(fig2, use_container_width=True)
+dfmax=df.sort_values(by='Maximum').reset_index()
+dfmax.rename({'index':'Country'},axis=1,inplace=True)
+fig3=px.bar(dfmax,'Country','Maximum',title='Maximum Oil Production by the Country')
+st.plotly_chart(fig3, use_container_width=True)
+dfmin=df.sort_values(by='Minimum').reset_index()
+dfmin.rename({'index':'Country'},axis=1,inplace=True)
+fig4=px.bar(dfmin,'Country','Minimum',title='Minimum Oil Production by the Country' )
+st.plotly_chart(fig4,use_container_width=True)
+dfcomp=df.sort_values(by='Country',ascending=False,inplace=True)
+fig5 = px.line(df, x=df.index, y='Maximum',title='Maximum and Minimum Oil Production comparisons')
+fig5.add_scatter(x=df.index, y=df['Minimum'], mode='lines',)
+st.plotly_chart(fig5, use_container_width=True)

pages/Yearly Co2 Emissions data Analysis.py ADDED Viewed

	@@ -0,0 +1,100 @@

+import pandas as pd
+import numpy as np
+import plotly.express as px
+import streamlit as st
+st.set_page_config(
+    page_title='Yearly Co2 Emissions data Analysis',
+    page_icon='📈',
+    layout='wide'
+)
+Years=['1895','1896','1897','1898','1899','1900','1901','1902','1903','1904','1905','1906','1907','1908','1909',
+'1910','1911','1912','1913','1914','1915','1916','1917','1918','1919','1920','1921','1922','1923','1924',
+'1925','1926','1927','1928','1929','1930','1931','1932','1933','1934','1935','1936','1937','1938','1939',
+'1940','1941','1942','1943','1944','1945','1946','1947','1948','1949','1950','1951','1952','1953','1954',
+'1955','1956','1957','1958','1959','1960','1961','1962','1963','1964','1965','1966','1967','1968','1969',
+'1970','1971','1972','1973','1974','1975','1976','1977','1978','1979','1980','1981','1982','1983','1984',
+'1985','1986','1987','1988','1989','1990','1991','1992','1993','1994','1995','1996','1997','1998','1999',
+'2000','2001','2002','2003','2004','2005','2006','2007','2008','2009','2010','2011','2012','2013','2014']
+@st.cache_data
+def load_data():
+    df=pd.read_csv('data/yearly_co2_emissions_1000_tonnes.csv')
+    df.rename(columns={'geo':'Country'},inplace=True)
+    df.set_index('Country',inplace=True)
+    df.drop(['1751','1752','1753','1754','1755','1756','1757','1758','1759','1760','1761','1762','1763','1764',
+    '1765','1766','1767','1768','1769','1770','1771','1772','1773','1774','1775','1776','1777','1778','1779',
+    '1780','1781','1782','1783','1784','1785','1786','1787','1788','1789','1790','1791','1792','1793','1794',
+    '1795','1796','1797','1798','1799','1800','1801','1802', '1803', '1804', '1805', '1806', '1807', '1808',
+    '1809', '1810', '1811', '1812', '1813','1814','1815', '1816', '1817', '1818', '1819', '1820', '1821',
+    '1822', '1823', '1824', '1825', '1826', '1827', '1828','1829', '1830', '1831','1832', '1833', '1834','1835',
+    '1836', '1837', '1838', '1839', '1840', '1841', '1842', '1843','1844', '1845', '1846', '1847', '1848',
+    '1849', '1850', '1851', '1852', '1853', '1854', '1855', '1856', '1857', '1858', '1859', '1860', '1861', '1862',
+    '1863', '1864', '1865', '1866', '1867','1868', '1869', '1870','1871', '1872', '1873', '1874','1875', '1876', '1877',
+    '1878', '1879', '1880', '1881','1882','1883', '1884', '1885', '1886', '1887','1888', '1889','1890', '1891',
+    '1892', '1893', '1894'],axis=1,inplace=True)
+    df['Total'] = df[Years].sum(axis=1)
+    df['Avgrage']=df.mean(axis=1)
+    df['Maximum']=df.max(axis=1)
+    df['Minimum']=df.min(axis=1)
+    df.sort_index(inplace=True)
+    return df
+st.title('Yearly Co2 Emissions 1000 Tonnes')
+df = load_data()
+st.dataframe(df,use_container_width=True)
+countries= df.index.unique().tolist()
+Graphs = ['bar','pie','line','area','funnel']
+c1,c2 = st.columns(2)
+country = c1.selectbox("Select a Country", countries)
+Graph = c2.selectbox("Select a Graph type", Graphs)
+st.header("Country wise visualization")
+cdf = df.loc[country,Years].reset_index()
+cdf.rename({'index':'Years'},axis=1, inplace=True)
+if Graph == Graphs[0]:
+    fig = px.bar(cdf, 'Years',country, title=f'{country} Yearly Co2 Emissions 1000 Tonnes')
+if Graph == Graphs[1]:
+    fig = px.pie(cdf, 'Years',country, title=f'{country} Yearly Co2 Emissions 1000 Tonnes')
+if Graph == Graphs[2]:
+    fig = px.line(cdf, 'Years',country, title=f'{country} Yearly Co2 Emissions 1000 Tonnes')
+if Graph == Graphs[3]:
+    fig = px.area(cdf, 'Years',country, title=f'{country} Yearly Co2 Emissions 1000 Tonnes')
+if Graph == Graphs[4]:
+    fig = px.funnel(cdf, 'Years',country, title=f'{country} Yearly Co2 Emissions 1000 Tonnes')
+st.plotly_chart(fig, use_container_width=True)
+st.header("Comparison of Countries")
+clist = st.multiselect("Select countries to compare", countries, default='India')
+cdf = df.loc[clist, Years].T # T to rotate the data in 90deg
+st.write(cdf)
+figc = px.line(cdf,cdf.index, clist, title=f'Comparing {", ".join(clist)}')
+st.plotly_chart(figc, use_container_width=True)
+df.sort_values(by='Total', ascending=False, inplace=True)
+fig1=px.bar(df, x=df.index, y='Total',title='Total Yearly Co2 Emissions 1000 Tonnes')
+st.plotly_chart(fig1, use_container_width=True)
+dfavg = df.sort_values(by='Avgrage').reset_index()
+dfavg.rename({'index':'Country'},axis=1,inplace=True)
+fig2=px.bar(dfavg, 'Country', 'Avgrage', title="Avgrage Yearly Co2 Emissions by Country")
+st.plotly_chart(fig2, use_container_width=True)
+dfmax=df.sort_values(by='Maximum').reset_index()
+dfmax.rename({'index':'Country'},axis=1,inplace=True)
+fig3=px.bar(dfmax,'Country','Maximum',title='Maximum Yearly Co2 Emissions by the Country')
+st.plotly_chart(fig3, use_container_width=True)
+dfmin=df.sort_values(by='Minimum').reset_index()
+dfmin.rename({'index':'Country'},axis=1,inplace=True)
+fig4=px.bar(dfmin,'Country','Minimum',title='Minimum Yearly Co2 Emissions by the Country' )
+st.plotly_chart(fig4,use_container_width=True)
+dfcomp=df.sort_values(by='Country',ascending=False,inplace=True)
+fig5 = px.line(df, x=df.index, y='Maximum',title='Maximum and Minimum Yearly Co2 Emissions comparisons')
+fig5.add_scatter(x=df.index, y=df['Minimum'], mode='lines',)
+st.plotly_chart(fig5, use_container_width=True)

requirements.txt ADDED Viewed

	@@ -0,0 +1,5 @@

+pandas
+streamlit
+plotly
+numpy
+vega