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HeatMap.csv
We can make this file beautiful and searchable if this error is corrected: It looks like row 29 should actually have 1 column, instead of 2 in line 28.
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HeatMap.csv
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name Unbanked
0 Afghanistan 0.851066872477531
1 Albania 0.5998483002185819
2 Arab world 0.628347903490066
3 United Arab Emirates 0.11789608001708995
4 Argentina 0.512915134429932
5 Armenia 0.522409826517105
6 Australia 0.004806280136107954
7 Austria 0.018363356590270996
8 Azerbaijan 0.714287966489792
9 Belgium 0.013616800308227983
10 Benin 0.6151077747344971
11 Burkina Faso 0.568400084972382
12 Bangladesh 0.499530851840973
13 Bulgaria 0.277959704399109
14 Bahrain 0.17387151718139604
15 Bosnia and Herzegovina 0.411565005779266
16 Belarus 0.18844115734100297
17 Bolivia 0.455949425697327
18 Brazil 0.299560546875
19 Botswana 0.48967546224594105
20 Central African Republic 0.862540543079376
21 Canada 0.0027312040328979492
22 Switzerland 0.015703320503234974
23 Chile 0.25650757551193204
24 China 0.19770878553390503
25 Cote d'Ivoire 0.586690455675125
26 Cameroon 0.6540921032428739
27 Congo, Dem. Rep. 0.7417432367801671
28 Congo, Rep. 0.739072501659393
29 Colombia 0.5424077212810521
30 Costa Rica 0.321616411209106
31 Cyprus 0.11284238100051902
32 Czech Republic 0.190077364444733
33 Germany 0.008588135242462047
34 Denmark 0.0008262991905210182
35 Dominican Republic 0.437608063220978
36 Algeria 0.5722337365150449
37 East Asia & Pacific (excluding high income) 0.293811857700348
38 East Asia & Pacific 0.26306021213531505
39 Europe & Central Asia (excluding high income) 0.34705662727356
40 Europe & Central Asia 0.18543797731399503
41 Ecuador 0.487539827823639
42 Egypt, Arab Rep. 0.6721563935279851
43 Euro area 0.04696512222289995
44 Spain 0.06244295835494995
45 Estonia 0.020060300827026034
46 Ethiopia 0.651724308729172
47 Finland 0.002145826816558949
48 France 0.05995953083038297
49 Gabon 0.41398000717163097
50 United Kingdom 0.03633683919906605
51 Georgia 0.387695550918579
52 Ghana 0.42282474040985096
53 Guinea 0.765139654278755
54 Greece 0.14533478021621704
55 Guatemala 0.558929920196533
56 High income 0.062941253185272
57 Hong Kong SAR, China 0.047167420387267955
58 Honduras 0.546570301055908
59 Croatia 0.13856548070907604
60 Haiti 0.6737881302833559
61 Hungary 0.25055032968521096
62 Indonesia 0.5114254951477051
63 India 0.201246738433838
64 Ireland 0.046595454216002974
65 Iran, Islamic Rep. 0.06018084287643399
66 Iraq 0.773348480463028
67 Israel 0.07185035943984996
68 Italy 0.062149822711945024
69 Jordan 0.575069755315781
70 Japan 0.017566084861755038
71 Kazakhstan 0.413024663925171
72 Kenya 0.18432432413101196
73 Kyrgyz Republic 0.600579977035522
74 Cambodia 0.783282160758972
75 Korea, Rep. 0.05148988962173495
76 Kuwait 0.20159846544265703
77 Latin America & Caribbean (excluding high income) 0.455919027328491
78 Lao PDR 0.709435820579529
79 Lebanon 0.5524857640266421
80 Liberia 0.642861604690552
81 Libya 0.34332478046417203
82 Latin America & Caribbean 0.44856244325637795
83 Low income 0.65145155787468
84 Sri Lanka 0.263535380363464
85 Lower middle income 0.421677529811859
86 Developing 0.36988878250122104
87 Lesotho 0.54436182975769
88 Lithuania 0.17116153240203902
89 Luxembourg 0.012321472167968972
90 Latvia 0.06777524948120095
91 Morocco 0.7135553956031799
92 Moldova 0.562143474817276
93 Madagascar 0.821321293711662
94 Middle East & North Africa 0.524693161249161
95 Mexico 0.6306807994842529
96 Middle income 0.346870839595795
97 Macedonia, FYR 0.23431229591369596
98 Mali 0.645833224058151
99 Malta 0.026370882987975963
100 Myanmar 0.740077018737793
101 Middle East & North Africa (excluding high income) 0.565219104290009
102 Montenegro 0.31638205051422097
103 Mongolia 0.07028830051422097
104 Mozambique 0.583298951387405
105 Mauritania 0.791274935007095
106 Mauritius 0.10157471895217896
107 Malawi 0.662860661745071
108 Malaysia 0.14656251668930098
109 North America 0.06188458204269398
110 Namibia 0.19366502761840798
111 Niger 0.844767555594444
112 Nigeria 0.603331416845322
113 Nicaragua 0.691380083560944
114 Netherlands 0.003623843193053977
115 Norway 0.0025485754013060413
116 Nepal 0.5461442470550539
117 New Zealand 0.00821554660797097
118 High income: OECD 0.05320477485656705
119 Pakistan 0.787067547440529
120 Panama 0.53505739569664
121 Peru 0.573968201875687
122 Philippines 0.6550159156322479
123 Poland 0.13266694545745805
124 Portugal 0.07659012079238903
125 Paraguay 0.513531386852264
126 West Bank and Gaza 0.7497782409191129
127 Romania 0.422481954097748
128 Russian Federation 0.24241113662719704
129 Rwanda 0.49980205297470104
130 South Asia 0.30440890789032005
131 Saudi Arabia 0.28301882743835405
132 Senegal 0.576559841632843
133 Singapore 0.020688295364379994
134 Sierra Leone 0.801912397146225
135 El Salvador 0.696470528841019
136 Serbia 0.285589516162872
137 Sub-Saharan Africa (excluding high income) 0.573925703763962
138 South Sudan 0.9142999574542046
139 Sub-Saharan Africa 0.573925703763962
140 Slovak Republic 0.15818411111831698
141 Slovenia 0.02466601133346602
142 Sweden 0.0025779008865359776
143 Chad 0.782408073544502
144 Togo 0.547106474637985
145 Thailand 0.184059977531433
146 Tajikistan 0.529756039381027
147 Turkmenistan 0.594235867261887
148 Trinidad and Tobago 0.19216650724411
149 Tunisia 0.630934327840805
150 Turkey 0.31409692764282204
151 Taiwan, China 0.058203697204589955
152 Tanzania 0.532484352588654
153 Uganda 0.408008515834808
154 Ukraine 0.370976686477661
155 Upper middle income 0.26913720369339
156 Uruguay 0.361319959163666
157 United States 0.068778157234192
158 Uzbekistan 0.629102647304535
159 Venezuela, RB 0.26505494117736805
160 Vietnam 0.692042082548141
161 World 0.314838886260986
162 Kosovo 0.47726601362228405
163 South Africa 0.30781507492065396
164 Zambia 0.541367411613464
165 Zimbabwe 0.447148621082306