diff --git a/app.py b/app.py
index 4d05de1..ba3ca9c 100644
--- a/app.py
+++ b/app.py
@@ -5,7 +5,7 @@
 
 # Custom imports 
 from multipage import MultiPage
-from pages import data_upload, machine_learning, metadata, data_visualize, redundant, inference # import your pages here
+from pages import data_upload, machine_learning, metadata, data_visualize, redundant # import your pages here
 
 # Create an instance of the app 
 app = MultiPage()
diff --git a/data/main_data.csv b/data/main_data.csv
index ba30c88..087b9a4 100644
--- a/data/main_data.csv
+++ b/data/main_data.csv
@@ -1,159 +1,402 @@
-Country,Region,Happiness Rank,Happiness Score,Standard Error,Economy (GDP per Capita),Family,Health (Life Expectancy),Freedom,Trust (Government Corruption),Generosity,Dystopia Residual
-Switzerland,Western Europe,1,7.587000000000001,0.03411,1.3965100000000001,1.34951,0.9414299999999999,0.66557,0.41978000000000004,0.29678000000000004,2.5173799999999997
-Iceland,Western Europe,2,7.561,0.048839999999999995,1.3023200000000001,1.4022299999999999,0.94784,0.6287699999999999,0.14145,0.4363,2.70201
-Denmark,Western Europe,3,7.527,0.033280000000000004,1.32548,1.36058,0.87464,0.6493800000000001,0.48357,0.34139,2.4920400000000003
-Norway,Western Europe,4,7.522,0.0388,1.459,1.33095,0.88521,0.66973,0.36503,0.34699,2.4653099999999997
-Canada,North America,5,7.4270000000000005,0.03553,1.32629,1.32261,0.9056299999999999,0.63297,0.32957,0.45811,2.4517599999999997
-Finland,Western Europe,6,7.406000000000001,0.0314,1.29025,1.31826,0.8891100000000001,0.64169,0.41372,0.23351,2.61955
-Netherlands,Western Europe,7,7.377999999999999,0.027989999999999998,1.32944,1.28017,0.89284,0.6157600000000001,0.31814000000000003,0.4761,2.4657
-Sweden,Western Europe,8,7.364,0.03157,1.33171,1.2890700000000002,0.9108700000000001,0.6598,0.43843999999999994,0.36262,2.3711900000000004
-New Zealand,Australia and New Zealand,9,7.2860000000000005,0.033710000000000004,1.2501799999999998,1.3196700000000001,0.9083700000000001,0.6393800000000001,0.42922,0.47501000000000004,2.26425
-Australia,Australia and New Zealand,10,7.284,0.04083,1.33358,1.30923,0.93156,0.6512399999999999,0.35636999999999996,0.43562,2.26646
-Israel,Middle East and Northern Africa,11,7.278,0.0347,1.2285700000000002,1.22393,0.9138700000000001,0.41318999999999995,0.07785,0.33171999999999996,3.08854
-Costa Rica,Latin America and Caribbean,12,7.226,0.044539999999999996,0.95578,1.2378799999999999,0.8602700000000001,0.63376,0.10583,0.25497,3.17728
-Austria,Western Europe,13,7.2,0.03751,1.33723,1.29704,0.8904200000000001,0.62433,0.18675999999999998,0.33088,2.5332
-Mexico,Latin America and Caribbean,14,7.187,0.041760000000000005,1.02054,0.91451,0.8144399999999999,0.48181,0.21311999999999998,0.14074,3.6021400000000003
-United States,North America,15,7.119,0.03839,1.3945100000000001,1.24711,0.86179,0.54604,0.1589,0.40105,2.51011
-Brazil,Latin America and Caribbean,16,6.983,0.040760000000000005,0.98124,1.2328700000000001,0.69702,0.49049,0.17521,0.14574,3.26001
-Luxembourg,Western Europe,17,6.946000000000001,0.03499,1.5639100000000001,1.21963,0.91894,0.61583,0.37798000000000004,0.28034000000000003,1.9696099999999999
-Ireland,Western Europe,18,6.94,0.03676,1.33596,1.36948,0.89533,0.6177699999999999,0.28703,0.45901000000000003,1.9757
-Belgium,Western Europe,19,6.937,0.03595,1.30782,1.28566,0.8966700000000001,0.5845,0.2254,0.2225,2.4148400000000003
-United Arab Emirates,Middle East and Northern Africa,20,6.901,0.03729,1.42727,1.12575,0.80925,0.64157,0.38583,0.26428,2.24743
-United Kingdom,Western Europe,21,6.867000000000001,0.01866,1.26637,1.28548,0.90943,0.59625,0.32066999999999996,0.51912,1.9699400000000002
-Oman,Middle East and Northern Africa,22,6.853,0.05335,1.36011,1.08182,0.76276,0.63274,0.32524000000000003,0.21541999999999997,2.4748900000000003
-Venezuela,Latin America and Caribbean,23,6.81,0.06476,1.04424,1.25596,0.7205199999999999,0.42908,0.11069000000000001,0.058410000000000004,3.1913099999999996
-Singapore,Southeastern Asia,24,6.797999999999999,0.0378,1.52186,1.02,1.02525,0.54252,0.4921,0.31105,1.8850099999999999
-Panama,Latin America and Caribbean,25,6.7860000000000005,0.0491,1.0635299999999999,1.1985,0.79661,0.5421,0.0927,0.24434,2.84848
-Germany,Western Europe,26,6.75,0.01848,1.32792,1.2993700000000001,0.89186,0.6147699999999999,0.21843,0.28214,2.1156900000000003
-Chile,Latin America and Caribbean,27,6.67,0.057999999999999996,1.10715,1.12447,0.85857,0.44132,0.12869,0.33363000000000004,2.67585
-Qatar,Middle East and Northern Africa,28,6.611000000000001,0.06257,1.69042,1.0786,0.79733,0.6404,0.52208,0.32573,1.55674
-France,Western Europe,29,6.575,0.03512,1.27778,1.2603799999999998,0.9457899999999999,0.55011,0.20646,0.12332,2.21126
-Argentina,Latin America and Caribbean,30,6.574,0.04612,1.05351,1.24823,0.78723,0.44974,0.08484,0.11450999999999999,2.8360000000000003
-Czech Republic,Central and Eastern Europe,31,6.505,0.04168,1.17898,1.20643,0.84483,0.46363999999999994,0.02652,0.10686,2.67782
-Uruguay,Latin America and Caribbean,32,6.485,0.04539,1.06166,1.2089,0.8116,0.6036199999999999,0.24558000000000002,0.2324,2.3214200000000003
-Colombia,Latin America and Caribbean,33,6.477,0.05051,0.91861,1.2401799999999998,0.69077,0.53466,0.0512,0.18400999999999998,2.85737
-Thailand,Southeastern Asia,34,6.455,0.03557,0.9669,1.26504,0.7385,0.5566399999999999,0.031869999999999996,0.5763,2.31945
-Saudi Arabia,Middle East and Northern Africa,35,6.4110000000000005,0.04633,1.39541,1.0839299999999998,0.72025,0.31048000000000003,0.32524000000000003,0.13706,2.43872
-Spain,Western Europe,36,6.329,0.03468,1.23011,1.31379,0.95562,0.45951000000000003,0.06398,0.18227000000000002,2.12367
-Malta,Western Europe,37,6.3020000000000005,0.04206,1.2074,1.30203,0.88721,0.60365,0.13585999999999998,0.51752,1.6488
-Taiwan,Eastern Asia,38,6.297999999999999,0.03868,1.29098,1.07617,0.8753,0.3974,0.08129,0.25376,2.32323
-Kuwait,Middle East and Northern Africa,39,6.295,0.04456,1.5542200000000002,1.16594,0.72492,0.55499,0.25609,0.16228,1.8763400000000001
-Suriname,Latin America and Caribbean,40,6.269,0.09811,0.99534,0.972,0.6082,0.5965699999999999,0.13633,0.16990999999999998,2.79094
-Trinidad and Tobago,Latin America and Caribbean,41,6.167999999999999,0.10895,1.21183,1.18354,0.61483,0.55884,0.0114,0.31844,2.2688200000000003
-El Salvador,Latin America and Caribbean,42,6.13,0.056179999999999994,0.76454,1.0250700000000001,0.67737,0.4035,0.11775999999999999,0.10692,3.035
-Guatemala,Latin America and Caribbean,43,6.122999999999999,0.052239999999999995,0.74553,1.04356,0.64425,0.57733,0.09472,0.27489,2.74255
-Uzbekistan,Central and Eastern Europe,44,6.002999999999999,0.04361,0.63244,1.34043,0.59772,0.6582100000000001,0.30826,0.22837,2.2374099999999997
-Slovakia,Central and Eastern Europe,45,5.995,0.04267,1.1689100000000001,1.26999,0.7890199999999999,0.31751,0.03431,0.16893,2.2463900000000003
-Japan,Eastern Asia,46,5.987,0.03581,1.27074,1.25712,0.99111,0.49615,0.1806,0.10705,1.68435
-South Korea,Eastern Asia,47,5.984,0.04098,1.24461,0.9577399999999999,0.9653799999999999,0.33208000000000004,0.07857,0.18557,2.21978
-Ecuador,Latin America and Caribbean,48,5.975,0.04528,0.8640200000000001,0.99903,0.79075,0.48573999999999995,0.1809,0.11540999999999998,2.5394200000000002
-Bahrain,Middle East and Northern Africa,49,5.96,0.05412,1.32376,1.21624,0.74716,0.45492,0.306,0.17362,1.73797
-Italy,Western Europe,50,5.9479999999999995,0.03914,1.25114,1.19777,0.9544600000000001,0.26236,0.02901,0.22823000000000002,2.0251799999999998
-Bolivia,Latin America and Caribbean,51,5.89,0.056420000000000005,0.68133,0.97841,0.5392,0.57414,0.08800000000000001,0.20536,2.82334
-Moldova,Central and Eastern Europe,52,5.888999999999999,0.037989999999999996,0.59448,1.01528,0.61826,0.32818,0.01615,0.20951,3.10712
-Paraguay,Latin America and Caribbean,53,5.877999999999999,0.045630000000000004,0.75985,1.30477,0.66098,0.53899,0.08242000000000001,0.3424,2.18896
-Kazakhstan,Central and Eastern Europe,54,5.855,0.041139999999999996,1.1225399999999999,1.1224100000000001,0.64368,0.51649,0.08454,0.11827,2.24729
-Slovenia,Central and Eastern Europe,55,5.848,0.04251,1.18498,1.27385,0.8733700000000001,0.60855,0.03787,0.25328,1.6158299999999999
-Lithuania,Central and Eastern Europe,56,5.832999999999999,0.03843,1.14723,1.25745,0.73128,0.21341999999999997,0.01031,0.026410000000000003,2.4464900000000003
-Nicaragua,Latin America and Caribbean,57,5.827999999999999,0.05371,0.59325,1.14184,0.7431399999999999,0.55475,0.19317,0.27815,2.32407
-Peru,Latin America and Caribbean,58,5.824,0.04615,0.9001899999999999,0.97459,0.73017,0.41496000000000005,0.05989,0.14982,2.5945
-Belarus,Central and Eastern Europe,59,5.813,0.03938,1.0319200000000002,1.23289,0.7360800000000001,0.37938,0.1909,0.11045999999999999,2.1309
-Poland,Central and Eastern Europe,60,5.791,0.04263,1.12555,1.27948,0.77903,0.53122,0.04212,0.16759000000000002,1.86565
-Malaysia,Southeastern Asia,61,5.77,0.0433,1.12486,1.07023,0.7239399999999999,0.5302399999999999,0.10500999999999999,0.33075,1.8854099999999998
-Croatia,Central and Eastern Europe,62,5.7589999999999995,0.04394,1.08254,0.79624,0.78805,0.25883,0.0243,0.054439999999999995,2.75414
-Libya,Middle East and Northern Africa,63,5.754,0.07832,1.13145,1.1186200000000002,0.7038,0.41668,0.11023,0.18295,2.0906599999999997
-Russia,Central and Eastern Europe,64,5.716,0.03135,1.13764,1.23617,0.6692600000000001,0.36679,0.03005,0.00199,2.27394
-Jamaica,Latin America and Caribbean,65,5.709,0.13693,0.81038,1.1510200000000002,0.6874100000000001,0.50442,0.02299,0.2123,2.32038
-North Cyprus,Western Europe,66,5.695,0.05635,1.2080600000000001,1.07008,0.92356,0.49027,0.1428,0.26169000000000003,1.5988799999999999
-Cyprus,Western Europe,67,5.689,0.0558,1.20813,0.89318,0.92356,0.40671999999999997,0.06146,0.30638000000000004,1.8893099999999998
-Algeria,Middle East and Northern Africa,68,5.605,0.05099,0.93929,1.07772,0.61766,0.28579,0.17382999999999998,0.07822,2.43209
-Kosovo,Central and Eastern Europe,69,5.5889999999999995,0.05018,0.80148,0.81198,0.63132,0.24749000000000002,0.04741,0.2831,2.76579
-Turkmenistan,Central and Eastern Europe,70,5.547999999999999,0.04175,0.95847,1.22668,0.53886,0.4761,0.30844,0.16979,1.8698400000000002
-Mauritius,Sub-Saharan Africa,71,5.477,0.07197,1.0076100000000001,0.98521,0.7095,0.56066,0.07521,0.37744,1.76145
-Hong Kong,Eastern Asia,72,5.474,0.05051,1.38604,1.05818,1.01328,0.59608,0.37124,0.39478,0.6542899999999999
-Estonia,Central and Eastern Europe,73,5.428999999999999,0.04013,1.15174,1.22791,0.77361,0.44888,0.15184,0.0868,1.58782
-Indonesia,Southeastern Asia,74,5.399,0.025960000000000004,0.8282700000000001,1.0870799999999998,0.63793,0.46611,0.0,0.51535,1.86399
-Vietnam,Southeastern Asia,75,5.36,0.03107,0.63216,0.9122600000000001,0.7467600000000001,0.59444,0.10440999999999999,0.1686,2.20173
-Turkey,Middle East and Northern Africa,76,5.332000000000001,0.03864,1.06098,0.94632,0.73172,0.22815,0.15746,0.12253,2.08528
-Kyrgyzstan,Central and Eastern Europe,77,5.2860000000000005,0.03823,0.47428000000000003,1.15115,0.65088,0.43477,0.042319999999999997,0.3003,2.2327
-Nigeria,Sub-Saharan Africa,78,5.268,0.04192,0.65435,0.9043200000000001,0.16007000000000002,0.34334000000000003,0.0403,0.27233,2.89319
-Bhutan,Southern Asia,79,5.252999999999999,0.03225,0.77042,1.10395,0.57407,0.5320600000000001,0.15445,0.47998,1.63794
-Azerbaijan,Central and Eastern Europe,80,5.212000000000001,0.03363,1.02389,0.9379299999999999,0.64045,0.3703,0.16065,0.07799,2.00073
-Pakistan,Southern Asia,81,5.194,0.03726,0.59543,0.41411000000000003,0.51466,0.12102,0.10464000000000001,0.33671,3.1070900000000004
-Jordan,Middle East and Northern Africa,82,5.192,0.045239999999999995,0.9019799999999999,1.05392,0.69639,0.40660999999999997,0.14293,0.11052999999999999,1.8799599999999999
-Montenegro,Central and Eastern Europe,82,5.192,0.05235,0.9743799999999999,0.9055700000000001,0.72521,0.1826,0.14296,0.1614,2.10017
-China,Eastern Asia,84,5.14,0.02424,0.89012,0.94675,0.81658,0.5169699999999999,0.02781,0.08185,1.8604
-Zambia,Sub-Saharan Africa,85,5.129,0.06988,0.47038,0.91612,0.29924,0.48827,0.12468,0.19591,2.6343
-Romania,Central and Eastern Europe,86,5.124,0.06607,1.04345,0.8858799999999999,0.7689,0.35068,0.006490000000000001,0.13748,1.9312900000000002
-Serbia,Central and Eastern Europe,87,5.122999999999999,0.048639999999999996,0.92053,1.0096399999999999,0.74836,0.20107,0.02617,0.19230999999999998,2.025
-Portugal,Western Europe,88,5.102,0.04802,1.15991,1.13935,0.8751899999999999,0.51469,0.01078,0.13719,1.26462
-Latvia,Central and Eastern Europe,89,5.098,0.0464,1.11312,1.09562,0.72437,0.29671,0.06332,0.18225999999999998,1.62215
-Philippines,Southeastern Asia,90,5.073,0.049339999999999995,0.70532,1.03516,0.58114,0.62545,0.12279000000000001,0.24991,1.7536
-Somaliland region,Sub-Saharan Africa,91,5.0569999999999995,0.061610000000000005,0.18847,0.95152,0.43873,0.46581999999999996,0.39928,0.5031800000000001,2.11032
-Morocco,Middle East and Northern Africa,92,5.013,0.0342,0.7347899999999999,0.64095,0.60954,0.41691000000000006,0.08546000000000001,0.07172,2.4537299999999997
-Macedonia,Central and Eastern Europe,93,5.007,0.05376,0.91851,1.00232,0.73545,0.33457,0.053270000000000005,0.22359,1.7393299999999998
-Mozambique,Sub-Saharan Africa,94,4.971,0.07896,0.08308,1.02626,0.09131,0.34037,0.15603,0.22269,3.05137
-Albania,Central and Eastern Europe,95,4.959,0.05013,0.8786700000000001,0.8043399999999999,0.81325,0.35733000000000004,0.06412999999999999,0.14272,1.89894
-Bosnia and Herzegovina,Central and Eastern Europe,96,4.949,0.06913,0.8322299999999999,0.9191600000000001,0.79081,0.09245,0.00227,0.24808000000000002,2.06367
-Lesotho,Sub-Saharan Africa,97,4.898,0.09437999999999999,0.37545,1.04103,0.07612000000000001,0.31767,0.12504,0.16388,2.79832
-Dominican Republic,Latin America and Caribbean,98,4.885,0.07446,0.8953700000000001,1.17202,0.66825,0.57672,0.14234000000000002,0.21684,1.21305
-Laos,Southeastern Asia,99,4.876,0.06698,0.5906600000000001,0.73803,0.54909,0.59591,0.24249,0.42191999999999996,1.7379900000000001
-Mongolia,Eastern Asia,100,4.874,0.03313,0.82819,1.3006,0.60268,0.43626000000000004,0.026660000000000003,0.3323,1.34759
-Swaziland,Sub-Saharan Africa,101,4.867,0.08742,0.71206,1.07284,0.07566,0.30658,0.0306,0.18259,2.48676
-Greece,Western Europe,102,4.857,0.05062,1.15406,0.9293299999999999,0.88213,0.07699,0.013969999999999998,0.0,1.8010099999999998
-Lebanon,Middle East and Northern Africa,103,4.8389999999999995,0.04337,1.0256399999999999,0.80001,0.83947,0.33916,0.04582,0.21854,1.57059
-Hungary,Central and Eastern Europe,104,4.8,0.061070000000000006,1.12094,1.20215,0.75905,0.32111999999999996,0.02758,0.128,1.24074
-Honduras,Latin America and Caribbean,105,4.788,0.056479999999999995,0.59532,0.9534799999999999,0.6951,0.40148,0.06825,0.23026999999999997,1.84408
-Tajikistan,Central and Eastern Europe,106,4.7860000000000005,0.03198,0.39047,0.8556299999999999,0.5737899999999999,0.47216,0.15072,0.22974,2.1139900000000003
-Tunisia,Middle East and Northern Africa,107,4.739,0.03589,0.88113,0.60429,0.73793,0.26268,0.06358,0.06431,2.12466
-Palestinian Territories,Middle East and Northern Africa,108,4.715,0.04394,0.59867,0.92558,0.66015,0.24499,0.12905,0.11250999999999999,2.0438400000000003
-Bangladesh,Southern Asia,109,4.694,0.03077,0.39753,0.43106000000000005,0.60164,0.4082,0.12569,0.21222,2.51767
-Iran,Middle East and Northern Africa,110,4.686,0.044489999999999995,1.0088,0.54447,0.69805,0.30033000000000004,0.058629999999999995,0.38086,1.6944
-Ukraine,Central and Eastern Europe,111,4.681,0.04412,0.79907,1.20278,0.6739,0.25123,0.02961,0.15275,1.5714
-Iraq,Middle East and Northern Africa,112,4.677,0.052320000000000005,0.98549,0.81889,0.60237,0.0,0.13788,0.17922000000000002,1.95335
-South Africa,Sub-Saharan Africa,113,4.6419999999999995,0.04585,0.9204899999999999,1.18468,0.27688,0.33207,0.08884,0.11972999999999999,1.7195599999999998
-Ghana,Sub-Saharan Africa,114,4.633,0.04742,0.5455800000000001,0.6795399999999999,0.40131999999999995,0.42341999999999996,0.04355,0.23087,2.30919
-Zimbabwe,Sub-Saharan Africa,115,4.61,0.0429,0.271,1.0327600000000001,0.33475,0.25861,0.08079,0.18987,2.44191
-Liberia,Sub-Saharan Africa,116,4.571000000000001,0.11068,0.0712,0.78968,0.34201,0.28531,0.06232000000000001,0.24361999999999998,2.7772900000000003
-India,Southern Asia,117,4.565,0.02043,0.64499,0.38174,0.5152899999999999,0.39786,0.08492000000000001,0.26475,2.27513
-Sudan,Sub-Saharan Africa,118,4.55,0.0674,0.52107,1.01404,0.36878,0.10081,0.1466,0.19062,2.20857
-Haiti,Latin America and Caribbean,119,4.518,0.07331,0.26673,0.74302,0.38847,0.24425,0.17175,0.46187,2.24173
-Congo (Kinshasa),Sub-Saharan Africa,120,4.5169999999999995,0.0368,0.0,1.0012,0.09806000000000001,0.22605,0.07625,0.24834,2.86712
-Nepal,Southern Asia,121,4.513999999999999,0.03607,0.35996999999999996,0.86449,0.5687399999999999,0.38282,0.059070000000000004,0.32295999999999997,1.9563700000000002
-Ethiopia,Sub-Saharan Africa,122,4.512,0.0378,0.19072999999999998,0.60406,0.44055,0.4345,0.15048,0.24325,2.44876
-Sierra Leone,Sub-Saharan Africa,123,4.507,0.07067999999999999,0.33024000000000003,0.9557100000000001,0.0,0.4084,0.08786000000000001,0.21488000000000002,2.51009
-Mauritania,Sub-Saharan Africa,124,4.436,0.03947,0.45407,0.86908,0.35874,0.24231999999999998,0.17461,0.21899999999999997,2.11773
-Kenya,Sub-Saharan Africa,125,4.419,0.04734,0.36471,0.99876,0.41435,0.42215,0.05839,0.37542,1.78555
-Djibouti,Sub-Saharan Africa,126,4.369,0.08096,0.44025,0.59207,0.36291,0.46074,0.28105,0.18093,2.05125
-Armenia,Central and Eastern Europe,127,4.35,0.04763,0.7682100000000001,0.7771100000000001,0.7299,0.19847,0.039,0.07855,1.75873
-Botswana,Sub-Saharan Africa,128,4.332,0.049339999999999995,0.99355,1.10464,0.047760000000000004,0.49495,0.12474,0.10461,1.46181
-Myanmar,Southeastern Asia,129,4.3069999999999995,0.04351,0.27108000000000004,0.70905,0.48246000000000006,0.44017,0.19034,0.79588,1.41805
-Georgia,Central and Eastern Europe,130,4.297,0.042210000000000004,0.7419,0.38561999999999996,0.72926,0.40576999999999996,0.38331,0.055470000000000005,1.59541
-Malawi,Sub-Saharan Africa,131,4.292,0.0613,0.016040000000000002,0.41134,0.22562,0.43054,0.06977,0.33128,2.8079099999999997
-Sri Lanka,Southern Asia,132,4.271,0.03751,0.83524,1.01905,0.70806,0.5372600000000001,0.09179,0.40828000000000003,0.67108
-Cameroon,Sub-Saharan Africa,133,4.252,0.04678,0.4225,0.8876700000000001,0.23401999999999998,0.49309,0.05786,0.20618000000000003,1.95071
-Bulgaria,Central and Eastern Europe,134,4.218,0.04828,1.01216,1.10614,0.76649,0.30587,0.00872,0.11921,0.89991
-Egypt,Middle East and Northern Africa,135,4.194,0.0326,0.8818,0.747,0.61712,0.17288,0.06324,0.11291,1.59927
-Yemen,Middle East and Northern Africa,136,4.077,0.04367,0.5464899999999999,0.68093,0.40064,0.35570999999999997,0.07854,0.09131,1.92313
-Angola,Sub-Saharan Africa,137,4.033,0.047580000000000004,0.75778,0.8604,0.16683,0.10384000000000002,0.07122,0.12344000000000001,1.9493900000000002
-Mali,Sub-Saharan Africa,138,3.995,0.05602000000000001,0.26074,1.03526,0.20583,0.38856999999999997,0.12352,0.18798,1.79293
-Congo (Brazzaville),Sub-Saharan Africa,139,3.989,0.06682,0.67866,0.6629,0.31051,0.41466000000000003,0.11685999999999999,0.12387999999999999,1.68135
-Comoros,Sub-Saharan Africa,140,3.9560000000000004,0.04797,0.23906,0.79273,0.36315,0.22916999999999998,0.19899999999999998,0.17440999999999998,1.95812
-Uganda,Sub-Saharan Africa,141,3.931,0.04317,0.21101999999999999,1.13299,0.33860999999999997,0.45726999999999995,0.07267,0.29066,1.42766
-Senegal,Sub-Saharan Africa,142,3.904,0.03608,0.36498,0.97619,0.4354,0.36772,0.10712999999999999,0.20843000000000003,1.44395
-Gabon,Sub-Saharan Africa,143,3.8960000000000004,0.04547,1.06024,0.90528,0.43372,0.31914000000000003,0.11091,0.06822,0.99895
-Niger,Sub-Saharan Africa,144,3.845,0.036019999999999996,0.0694,0.77265,0.29707,0.47691999999999996,0.15639,0.19387000000000001,1.87877
-Cambodia,Southeastern Asia,145,3.819,0.05069,0.46038,0.62736,0.61114,0.66246,0.07247,0.40359,0.98195
-Tanzania,Sub-Saharan Africa,146,3.781,0.05061,0.2852,1.00268,0.38215,0.32878,0.05747000000000001,0.34376999999999996,1.38079
-Madagascar,Sub-Saharan Africa,147,3.681,0.03633,0.20824,0.66801,0.46721,0.19184,0.08123999999999999,0.21333000000000002,1.851
-Central African Republic,Sub-Saharan Africa,148,3.678,0.06112000000000001,0.0785,0.0,0.06699,0.48878999999999995,0.08288999999999999,0.23835,2.7223
-Chad,Sub-Saharan Africa,149,3.667,0.0383,0.34193,0.76062,0.1501,0.23501,0.05269,0.18386,1.9429599999999998
-Guinea,Sub-Saharan Africa,150,3.656,0.0359,0.17417,0.46475,0.24009,0.37725,0.12139000000000001,0.28657,1.9917200000000002
-Ivory Coast,Sub-Saharan Africa,151,3.655,0.051410000000000004,0.46534,0.77115,0.15185,0.46866,0.17922000000000002,0.20165,1.41723
-Burkina Faso,Sub-Saharan Africa,152,3.5869999999999997,0.04324,0.25811999999999996,0.85188,0.27125,0.39493,0.12832000000000002,0.21746999999999997,1.46494
-Afghanistan,Southern Asia,153,3.575,0.03084,0.31982,0.30285,0.30335,0.23414000000000001,0.09719,0.3651,1.9521
-Rwanda,Sub-Saharan Africa,154,3.465,0.03464,0.22208000000000003,0.7737,0.42863999999999997,0.59201,0.55191,0.22628,0.67042
-Benin,Sub-Saharan Africa,155,3.34,0.03656,0.28665,0.35386,0.3191,0.4845,0.0801,0.1826,1.6332799999999998
-Syria,Middle East and Northern Africa,156,3.0060000000000002,0.05015,0.6632,0.47489,0.7219300000000001,0.15684,0.18905999999999998,0.47179,0.32858000000000004
-Burundi,Sub-Saharan Africa,157,2.905,0.08657999999999999,0.0153,0.41586999999999996,0.22396,0.1185,0.10062,0.19727,1.83302
-Togo,Sub-Saharan Africa,158,2.839,0.06727000000000001,0.20868,0.13995,0.28443,0.36453,0.10730999999999999,0.16680999999999999,1.56726
+_id,ags2,bundesland,ags5,kreis,kr_to_be,kr_to_bett,kr_to_ga,kr_to_gue
+1,1,Schleswig-Holstein,1001,"Flensburg, Stadt",21,1761,188390,322191
+2,1,Schleswig-Holstein,1002,"Kiel, Landeshauptstadt",47,4763,385648,805038
+3,1,Schleswig-Holstein,1003,"Lübeck, Hansestadt",103,10626,754190,1825115
+4,1,Schleswig-Holstein,1004,"Neumünster, Stadt",12,1097,93659,187823
+5,1,Schleswig-Holstein,1051,Dithmarschen,326,11221,350821,1685871
+6,1,Schleswig-Holstein,1053,Herzogtum Lauenburg,99,4650,204571,674982
+7,1,Schleswig-Holstein,1054,Nordfriesland,1344,72340,1638001,9673107
+8,1,Schleswig-Holstein,1055,Ostholstein,887,67290,1787773,8664740
+9,1,Schleswig-Holstein,1056,Pinneberg,92,4728,279448,633643
+10,1,Schleswig-Holstein,1057,Plön,219,11898,291330,1366573
+11,1,Schleswig-Holstein,1058,Rendsburg-Eckernförde,199,12408,475986,1852289
+12,1,Schleswig-Holstein,1059,Schleswig-Flensburg,246,11184,416854,1250814
+13,1,Schleswig-Holstein,1060,Segeberg,72,5018,297986,785645
+14,1,Schleswig-Holstein,1061,Steinburg,36,1068,59816,126988
+15,1,Schleswig-Holstein,1062,Stormarn,52,2731,206258,396760
+16,2,Hamburg,2000,Hamburg,396,66610,7096482,14367399
+17,3,Niedersachsen,3101,Braunschweig,47,4831,422747,684810
+18,3,Niedersachsen,3102,Salzgitter,36,1241,52451,156969
+19,3,Niedersachsen,3103,Wolfsburg,45,4812,367432,615741
+20,3,Niedersachsen,3151,Gifhorn,82,4043,130514,333363
+21,3,Niedersachsen,3153,Goslar,350,22522,811258,2561313
+22,3,Niedersachsen,3154,Helmstedt,35,2311,97320,166590
+23,3,Niedersachsen,3155,Northeim,78,5415,157702,451346
+24,3,Niedersachsen,3157,Peine,23,957,58422,102637
+25,3,Niedersachsen,3158,Wolfenbüttel,29,1082,50681,126183
+26,3,Niedersachsen,3159,Göttingen,244,17582,761436,1891425
+27,3,Niedersachsen,3241,Hannover,351,31777,2215112,4050639
+28,3,Niedersachsen,3251,Diepholz,89,4072,142714,296109
+29,3,Niedersachsen,3252,Hameln-Pyrmont,120,10716,306577,1151357
+30,3,Niedersachsen,3254,Hildesheim,103,5784,276748,633192
+31,3,Niedersachsen,3255,Holzminden,53,4290,107102,245368
+32,3,Niedersachsen,3256,Nienburg/Weser,65,4447,125934,300764
+33,3,Niedersachsen,3257,Schaumburg,95,6790,243549,850258
+34,3,Niedersachsen,3351,Celle,117,8552,304550,749730
+35,3,Niedersachsen,3352,Cuxhaven,296,26763,649721,2623740
+36,3,Niedersachsen,3353,Harburg,119,7553,309301,736928
+37,3,Niedersachsen,3354,Lüchow-Dannenberg,75,4398,96382,270738
+38,3,Niedersachsen,3355,Lüneburg,90,6560,299961,640889
+39,3,Niedersachsen,3356,Osterholz,42,1602,63334,151783
+40,3,Niedersachsen,3357,Rotenburg (Wümme),88,7277,212110,554883
+41,3,Niedersachsen,3358,Heidekreis,220,23275,928181,2841371
+42,3,Niedersachsen,3359,Stade,98,5265,212205,516220
+43,3,Niedersachsen,3360,Uelzen,96,5551,161682,737961
+44,3,Niedersachsen,3361,Verden,64,3511,186049,360815
+45,3,Niedersachsen,3401,Delmenhorst,8,505,32385,57570
+46,3,Niedersachsen,3402,Emden,21,1354,93992,185871
+47,3,Niedersachsen,3403,Oldenburg,26,2484,168768,377348
+48,3,Niedersachsen,3404,Osnabrück,41,3463,308896,479661
+49,3,Niedersachsen,3405,Wilhelmshaven,33,2084,135239,359348
+50,3,Niedersachsen,3451,Ammerland,105,6445,281670,886502
+51,3,Niedersachsen,3452,Aurich,664,35129,866388,4246281
+52,3,Niedersachsen,3453,Cloppenburg,89,5884,167839,450468
+53,3,Niedersachsen,3454,Emsland,222,20346,700295,2220982
+54,3,Niedersachsen,3455,Friesland,223,21119,423577,2257786
+55,3,Niedersachsen,3456,Grafschaft Bentheim,70,7765,240450,831364
+56,3,Niedersachsen,3457,Leer,259,13774,359336,1840423
+57,3,Niedersachsen,3458,Oldenburg,60,4028,176548,339398
+58,3,Niedersachsen,3459,Osnabrück,178,13930,458319,1749257
+59,3,Niedersachsen,3460,Vechta,59,4407,147496,381988
+60,3,Niedersachsen,3461,Wesermarsch,75,8316,202816,798107
+61,3,Niedersachsen,3462,Wittmund,460,23534,523251,2688714
+62,4,Bremen,4011,Bremen,97,12738,1165519,2139174
+63,4,Bremen,4012,Bremerhaven,28,2983,245393,450794
+64,5,Nordrhein-Westfalen,5111,Düsseldorf,226,27817,3068803,4988092
+65,5,Nordrhein-Westfalen,5112,Duisburg,48,3665,286066,565313
+66,5,Nordrhein-Westfalen,5113,Essen,97,9937,814428,1602022
+67,5,Nordrhein-Westfalen,5114,Krefeld,22,1754,150590,251113
+68,5,Nordrhein-Westfalen,5116,Mönchengladbach,31,2195,193339,335230
+69,5,Nordrhein-Westfalen,5117,Mülheim an der Ruhr,30,1680,103254,189536
+70,5,Nordrhein-Westfalen,5119,Oberhausen,25,2547,234032,476177
+71,5,Nordrhein-Westfalen,5120,Remscheid,17,885,68415,115184
+72,5,Nordrhein-Westfalen,5122,Solingen,20,994,53171,99161
+73,5,Nordrhein-Westfalen,5124,Wuppertal,42,3843,241456,599393
+74,5,Nordrhein-Westfalen,5154,Kleve,135,5814,438111,921757
+75,5,Nordrhein-Westfalen,5158,Mettmann,94,7185,546079,949383
+76,5,Nordrhein-Westfalen,5162,Rhein-Kreis Neuss,84,5932,426468,944159
+77,5,Nordrhein-Westfalen,5166,Viersen,65,2632,173549,354037
+78,5,Nordrhein-Westfalen,5170,Wesel,106,4647,433371,824206
+79,5,Nordrhein-Westfalen,5314,Bonn,95,8829,853501,1597228
+80,5,Nordrhein-Westfalen,5315,Köln,279,32493,3699735,6287677
+81,5,Nordrhein-Westfalen,5316,Leverkusen,21,1513,132591,249769
+82,5,Nordrhein-Westfalen,5334,Aachen,186,9781,801514,1621955
+83,5,Nordrhein-Westfalen,5358,Düren,87,3812,222439,575956
+84,5,Nordrhein-Westfalen,5362,Rhein-Erft-Kreis,120,7944,514725,1414702
+85,5,Nordrhein-Westfalen,5366,Euskirchen,138,5791,293531,844175
+86,5,Nordrhein-Westfalen,5370,Heinsberg,54,1522,110024,255780
+87,5,Nordrhein-Westfalen,5374,Oberbergischer Kreis,103,5611,283826,862116
+88,5,Nordrhein-Westfalen,5378,Rheinisch-Bergischer Kreis,73,3662,232111,549429
+89,5,Nordrhein-Westfalen,5382,Rhein-Sieg-Kreis,147,9417,617803,1304472
+90,5,Nordrhein-Westfalen,5512,Bottrop,12,619,38733,80728
+91,5,Nordrhein-Westfalen,5513,Gelsenkirchen,23,2200,143948,363864
+92,5,Nordrhein-Westfalen,5515,Münster,76,7896,658531,1341708
+93,5,Nordrhein-Westfalen,5554,Borken,125,5183,339147,678346
+94,5,Nordrhein-Westfalen,5558,Coesfeld,82,3998,209091,635334
+95,5,Nordrhein-Westfalen,5562,Recklinghausen,90,4465,359521,707961
+96,5,Nordrhein-Westfalen,5566,Steinfurt,177,5388,360103,879938
+97,5,Nordrhein-Westfalen,5570,Warendorf,84,3084,176409,468053
+98,5,Nordrhein-Westfalen,5711,Bielefeld,58,4198,376401,679903
+99,5,Nordrhein-Westfalen,5754,Gütersloh,102,4200,277106,588467
+100,5,Nordrhein-Westfalen,5758,Herford,53,2437,99293,378321
+101,5,Nordrhein-Westfalen,5762,Höxter,117,5975,243583,1109666
+102,5,Nordrhein-Westfalen,5766,Lippe,186,9019,435237,1686991
+103,5,Nordrhein-Westfalen,5770,Minden-Lübbecke,109,6665,315005,1464782
+104,5,Nordrhein-Westfalen,5774,Paderborn,100,5553,359273,979856
+105,5,Nordrhein-Westfalen,5911,Bochum,40,4046,370633,634766
+106,5,Nordrhein-Westfalen,5913,Dortmund,65,7611,814607,1352848
+107,5,Nordrhein-Westfalen,5914,Hagen,27,1533,114643,289154
+108,5,Nordrhein-Westfalen,5915,Hamm,23,1289,110962,162482
+109,5,Nordrhein-Westfalen,5916,Herne,9,521,37083,67587
+110,5,Nordrhein-Westfalen,5954,Ennepe-Ruhr-Kreis,66,3469,205501,547268
+111,5,Nordrhein-Westfalen,5958,Hochsauerlandkreis,458,26418,1282432,4083164
+112,5,Nordrhein-Westfalen,5962,Märkischer Kreis,110,3975,209005,461280
+113,5,Nordrhein-Westfalen,5966,Olpe,121,4252,265926,617419
+114,5,Nordrhein-Westfalen,5970,Siegen-Wittgenstein,110,4998,255728,836051
+115,5,Nordrhein-Westfalen,5974,Soest,156,7758,434833,1643064
+116,5,Nordrhein-Westfalen,5978,Unna,61,3405,214991,410008
+117,6,Hessen,6411,Kreisfreie Stadt Darmstadt,43,4482,353372,707139
+118,6,Hessen,6412,Kreisfreie Stadt Frankfurt am Main,290,53567,5934778,10149671
+119,6,Hessen,6413,Kreisfreie Stadt Offenbach am Main,39,3589,254560,535342
+120,6,Hessen,6414,Landeshauptstadt Wiesbaden,80,7520,580346,1251424
+121,6,Hessen,6431,Bergstraße,138,7294,335379,794177
+122,6,Hessen,6432,Darmstadt-Dieburg,90,4525,240212,591947
+123,6,Hessen,6433,Groß-Gerau,108,8439,676968,1261563
+124,6,Hessen,6434,Hochtaunus,128,8733,485210,1339030
+125,6,Hessen,6435,Main-Kinzig,197,10771,385410,1444031
+126,6,Hessen,6436,Main-Taunus,93,6656,438865,861241
+127,6,Hessen,6437,Odenwaldkreis,113,4730,152492,424785
+128,6,Hessen,6438,Offenbach,108,6868,497704,1022943
+129,6,Hessen,6439,Rheingau-Taunus,170,10326,507384,1223415
+130,6,Hessen,6440,Wetterau,109,6711,252039,1108717
+131,6,Hessen,6531,Gießen,101,6139,249431,473247
+132,6,Hessen,6532,Lahn-Dill,93,6002,253830,536794
+133,6,Hessen,6533,Limburg-Weilburg,78,6515,223659,552587
+134,6,Hessen,6534,Marburg-Biedenkopf,110,6624,284845,692920
+135,6,Hessen,6535,Vogelsberg,109,6498,215986,538086
+136,6,Hessen,6611,Kreisfreie Stadt Kassel,76,7000,533093,930854
+137,6,Hessen,6631,Fulda,275,15089,803195,1719041
+138,6,Hessen,6632,Hersfeld-Rotenburg,108,10328,383617,1156969
+139,6,Hessen,6633,Kassel,147,12219,306125,738723
+140,6,Hessen,6634,Schwalm-Eder,137,8280,236011,659044
+141,6,Hessen,6635,Waldeck-Frankenberg,388,26374,851662,3312333
+142,6,Hessen,6636,Werra-Meißner,116,7577,170899,714660
+143,7,Rheinland-Pfalz,7111,Stadt Koblenz,50,3886,360612,697924
+144,7,Rheinland-Pfalz,7131,Ahrweiler,202,10061,539460,1357405
+145,7,Rheinland-Pfalz,7132,Altenkirchen (Ww),43,2190,91848,226120
+146,7,Rheinland-Pfalz,7133,Bad Kreuznach,107,5878,255544,961220
+147,7,Rheinland-Pfalz,7134,Birkenfeld,55,3232,98007,292132
+148,7,Rheinland-Pfalz,7135,Cochem-Zell,298,12910,522774,1648419
+149,7,Rheinland-Pfalz,7137,Mayen-Koblenz,159,6170,350121,772057
+150,7,Rheinland-Pfalz,7138,Neuwied,89,3104,156291,318795
+151,7,Rheinland-Pfalz,7140,Rhein-Hunsrück-Kreis,134,5605,364093,775404
+152,7,Rheinland-Pfalz,7141,Rhein-Lahn-Kreis,120,5281,246422,750928
+153,7,Rheinland-Pfalz,7143,Westerwaldkreis,76,4456,306906,733656
+154,7,Rheinland-Pfalz,7211,Stadt Trier,61,5010,461377,830892
+155,7,Rheinland-Pfalz,7231,Bernkastel-Wittlich,359,12247,516671,1654418
+156,7,Rheinland-Pfalz,7232,Eifelkreis Bitburg-Prüm,149,6484,231140,571466
+157,7,Rheinland-Pfalz,7233,Vulkaneifel,122,9138,390504,1416794
+158,7,Rheinland-Pfalz,7235,Trier-Saarburg,195,8974,330258,1062808
+159,7,Rheinland-Pfalz,7311,Stadt Frankenthal (Pfalz),6,625,52783,94507
+160,7,Rheinland-Pfalz,7312,Stadt Kaiserslautern,28,-99,-99,-99
+161,7,Rheinland-Pfalz,7313,Stadt Landau in der Pfalz,17,743,56011,106040
+162,7,Rheinland-Pfalz,7314,Stadt Ludwigshafen a. Rh.,22,-99,-99,-99
+163,7,Rheinland-Pfalz,7315,Stadt Mainz,41,5472,600073,906699
+164,7,Rheinland-Pfalz,7316,Stadt Neustadt a.d. W.,25,1297,102819,208187
+165,7,Rheinland-Pfalz,7317,Stadt Pirmasens,7,372,27856,-99
+166,7,Rheinland-Pfalz,7318,Stadt Speyer,19,1410,155565,262922
+167,7,Rheinland-Pfalz,7319,Stadt Worms,25,1056,74586,155009
+168,7,Rheinland-Pfalz,7320,Stadt Zweibrücken,5,284,-99,39836
+169,7,Rheinland-Pfalz,7331,Alzey-Worms,62,1622,87612,-99
+170,7,Rheinland-Pfalz,7332,Bad Dürkheim,134,5316,343453,840400
+171,7,Rheinland-Pfalz,7333,Donnersbergkreis,32,1300,68890,139201
+172,7,Rheinland-Pfalz,7334,Germersheim,47,1358,61655,162143
+173,7,Rheinland-Pfalz,7335,Kaiserslautern,51,2144,90535,262707
+174,7,Rheinland-Pfalz,7336,Kusel,23,802,37888,85776
+175,7,Rheinland-Pfalz,7337,Südliche Weinstraße,187,5840,315227,794962
+176,7,Rheinland-Pfalz,7338,Rhein-Pfalz-Kreis,23,-99,-99,-99
+177,7,Rheinland-Pfalz,7339,Mainz-Bingen,105,3879,237751,439595
+178,7,Rheinland-Pfalz,7340,Südwestpfalz,96,2961,137341,325983
+179,8,Baden-Württemberg,8111,Stuttgart,171,21494,2062673,3911781
+180,8,Baden-Württemberg,8115,Böblingen,117,7984,499294,1164705
+181,8,Baden-Württemberg,8116,Esslingen,174,10572,819398,1621975
+182,8,Baden-Württemberg,8117,Göppingen,94,4607,230854,589685
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+186,8,Baden-Württemberg,8125,Heilbronn,170,9972,407824,1374720
+187,8,Baden-Württemberg,8126,Hohenlohekreis,82,4523,208595,433299
+188,8,Baden-Württemberg,8127,Schwäbisch Hall,129,5579,277719,594063
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+190,8,Baden-Württemberg,8135,Heidenheim,45,1862,126029,224737
+191,8,Baden-Württemberg,8136,Ostalbkreis,149,9147,394031,835913
+192,8,Baden-Württemberg,8211,Baden-Baden,87,5286,452982,1007739
+193,8,Baden-Württemberg,8212,Karlsruhe,61,6287,658668,1139836
+194,8,Baden-Württemberg,8215,Karlsruhe,123,7764,401617,1034044
+195,8,Baden-Württemberg,8216,Rastatt,132,6720,289301,614749
+196,8,Baden-Württemberg,8221,Heidelberg,84,7998,794339,1552834
+197,8,Baden-Württemberg,8222,Mannheim,62,7795,673571,1469030
+198,8,Baden-Württemberg,8225,Neckar-Odenwald-Kreis,101,5993,161690,517043
+199,8,Baden-Württemberg,8226,Rhein-Neckar-Kreis,177,12297,799161,1496505
+200,8,Baden-Württemberg,8231,Pforzheim,22,1692,120650,243273
+201,8,Baden-Württemberg,8235,Calw,198,13060,445259,1379113
+202,8,Baden-Württemberg,8236,Enzkreis,57,2287,123976,236264
+203,8,Baden-Württemberg,8237,Freudenstadt,216,11344,520602,1699450
+204,8,Baden-Württemberg,8311,Freiburg im Breisgau,83,9613,881280,1708237
+205,8,Baden-Württemberg,8315,Breisgau-Hochschwarzwald,616,35426,1412900,4871743
+206,8,Baden-Württemberg,8316,Emmendingen,135,5563,276066,654813
+207,8,Baden-Württemberg,8317,Ortenaukreis,527,29633,1799732,3837941
+208,8,Baden-Württemberg,8325,Rottweil,77,3440,133928,326068
+209,8,Baden-Württemberg,8326,Schwarzwald-Baar-Kreis,203,13441,482085,1659198
+210,8,Baden-Württemberg,8327,Tuttlingen,67,2965,140576,307718
+211,8,Baden-Württemberg,8335,Konstanz,226,19326,949232,2649744
+212,8,Baden-Württemberg,8336,Lörrach,244,11305,536193,1290022
+213,8,Baden-Württemberg,8337,Waldshut,282,11684,386153,1319751
+214,8,Baden-Württemberg,8415,Reutlingen,147,9707,437271,1177832
+215,8,Baden-Württemberg,8416,Tübingen,72,3175,216422,434483
+216,8,Baden-Württemberg,8417,Zollernalbkreis,82,3872,148339,348789
+217,8,Baden-Württemberg,8421,Ulm,50,4153,442326,688782
+218,8,Baden-Württemberg,8425,Alb-Donau-Kreis,104,5201,275874,547487
+219,8,Baden-Württemberg,8426,Biberach,90,5889,252688,799272
+220,8,Baden-Württemberg,8435,Bodenseekreis,430,26968,1108528,3311887
+221,8,Baden-Württemberg,8436,Ravensburg,161,10651,479313,1947743
+222,8,Baden-Württemberg,8437,Sigmaringen,98,6975,204441,620260
+223,9,Freistaat Bayern,9161,Ingolstadt,46,3493,332813,560022
+224,9,Freistaat Bayern,9162,München,446,77505,8265994,17124486
+225,9,Freistaat Bayern,9163,Rosenheim,21,1236,143307,227469
+226,9,Freistaat Bayern,9171,Altötting,59,2286,131731,288834
+227,9,Freistaat Bayern,9172,Berchtesgadener Land,490,16780,772136,2962304
+228,9,Freistaat Bayern,9173,Bad Tölz-Wolfratshausen,230,8243,398474,1222255
+229,9,Freistaat Bayern,9174,Dachau,55,2465,150965,358043
+230,9,Freistaat Bayern,9175,Ebersberg,58,2798,211292,438610
+231,9,Freistaat Bayern,9176,Eichstätt,133,5455,458726,889480
+232,9,Freistaat Bayern,9177,Erding,77,6684,878834,1315380
+233,9,Freistaat Bayern,9178,Freising,82,5842,668169,1015029
+234,9,Freistaat Bayern,9179,Fürstenfeldbruck,48,2122,140558,309734
+235,9,Freistaat Bayern,9180,Garmisch-Partenkirchen,516,19220,1192002,3544760
+236,9,Freistaat Bayern,9181,Landsberg am Lech,41,1660,121932,276697
+237,9,Freistaat Bayern,9182,Miesbach,384,14594,751918,2326373
+238,9,Freistaat Bayern,9183,Mühldorf a.Inn,45,1532,89035,190835
+239,9,Freistaat Bayern,9184,München,162,14857,1316342,2473258
+240,9,Freistaat Bayern,9185,Neuburg-Schrobenhausen,43,1225,68572,161455
+241,9,Freistaat Bayern,9186,Pfaffenhofen a.d.Ilm,51,2155,155307,295912
+242,9,Freistaat Bayern,9187,Rosenheim,345,14119,799895,2539836
+243,9,Freistaat Bayern,9188,Starnberg,88,4925,300718,768275
+244,9,Freistaat Bayern,9189,Traunstein,584,17568,762965,2961008
+245,9,Freistaat Bayern,9190,Weilheim-Schongau,75,3339,178499,597874
+246,9,Freistaat Bayern,9261,Landshut,22,1600,119580,235120
+247,9,Freistaat Bayern,9262,Passau,42,3103,331264,573855
+248,9,Freistaat Bayern,9263,Straubing,20,1046,83373,159663
+249,9,Freistaat Bayern,9271,Deggendorf,71,2829,172345,417538
+250,9,Freistaat Bayern,9272,Freyung-Grafenau,244,10694,320908,1410465
+251,9,Freistaat Bayern,9273,Kelheim,121,5259,292810,923456
+252,9,Freistaat Bayern,9274,Landshut,65,2261,115116,241380
+253,9,Freistaat Bayern,9275,Passau,482,24445,843019,4300462
+254,9,Freistaat Bayern,9276,Regen,439,15391,508498,2131080
+255,9,Freistaat Bayern,9277,Rottal-Inn,97,4399,200631,921534
+256,9,Freistaat Bayern,9278,Straubing-Bogen,108,4336,196569,646442
+257,9,Freistaat Bayern,9279,Dingolfing-Landau,38,1305,65927,158316
+258,9,Freistaat Bayern,9361,Amberg,11,605,43845,87954
+259,9,Freistaat Bayern,9362,Regensburg,74,6125,626210,1100392
+260,9,Freistaat Bayern,9363,Weiden i.d.OPf.,11,551,42833,78109
+261,9,Freistaat Bayern,9371,Amberg-Sulzbach,79,2620,125848,305237
+262,9,Freistaat Bayern,9372,Cham,274,13608,480059,1910761
+263,9,Freistaat Bayern,9373,Neumarkt i.d.OPf.,75,3238,230342,430263
+264,9,Freistaat Bayern,9374,Neustadt a.d.Waldnaab,98,2520,119539,270828
+265,9,Freistaat Bayern,9375,Regensburg,77,2878,195118,429666
+266,9,Freistaat Bayern,9376,Schwandorf,100,3115,148366,385997
+267,9,Freistaat Bayern,9377,Tirschenreuth,104,3259,119294,395406
+268,9,Freistaat Bayern,9461,Bamberg,57,3572,394333,708202
+269,9,Freistaat Bayern,9462,Bayreuth,27,2139,191823,402209
+270,9,Freistaat Bayern,9463,Coburg,17,966,72069,135618
+271,9,Freistaat Bayern,9464,Hof,21,1163,88343,148554
+272,9,Freistaat Bayern,9471,Bamberg,82,3237,217783,409397
+273,9,Freistaat Bayern,9472,Bayreuth,179,5575,261223,758637
+274,9,Freistaat Bayern,9473,Coburg,45,1911,80430,312768
+275,9,Freistaat Bayern,9474,Forchheim,118,3605,159391,374689
+276,9,Freistaat Bayern,9475,Hof,78,2738,127144,498315
+277,9,Freistaat Bayern,9476,Kronach,44,1398,71000,180429
+278,9,Freistaat Bayern,9477,Kulmbach,58,2007,116368,229864
+279,9,Freistaat Bayern,9478,Lichtenfels,84,3587,194301,636558
+280,9,Freistaat Bayern,9479,Wunsiedel i.Fichtelgebirge,60,2520,145363,378571
+281,9,Freistaat Bayern,9561,Ansbach,15,634,40027,105364
+282,9,Freistaat Bayern,9562,Erlangen,47,2963,258203,506917
+283,9,Freistaat Bayern,9563,Fürth,23,1989,151887,322318
+284,9,Freistaat Bayern,9564,Nürnberg,153,18711,2001217,3610613
+285,9,Freistaat Bayern,9565,Schwabach,8,516,51187,83983
+286,9,Freistaat Bayern,9571,Ansbach,241,8729,728791,1302829
+287,9,Freistaat Bayern,9572,Erlangen-Höchstadt,54,2896,179325,454969
+288,9,Freistaat Bayern,9573,Fürth,41,1433,118524,224969
+289,9,Freistaat Bayern,9574,Nürnberger Land,76,3103,199712,400742
+290,9,Freistaat Bayern,9575,Neustadt a.d.Aisch-Bad Windsheim,101,3864,193628,624032
+291,9,Freistaat Bayern,9576,Roth,84,2505,196099,363968
+292,9,Freistaat Bayern,9577,Weißenburg-Gunzenhausen,129,3639,249428,820213
+293,9,Freistaat Bayern,9661,Aschaffenburg,13,1042,100673,196083
+294,9,Freistaat Bayern,9662,Schweinfurt,23,1537,123506,233793
+295,9,Freistaat Bayern,9663,Würzburg,53,4598,614024,965700
+296,9,Freistaat Bayern,9671,Aschaffenburg,98,3768,279724,512994
+297,9,Freistaat Bayern,9672,Bad Kissingen,143,10117,435481,2195915
+298,9,Freistaat Bayern,9673,Rhön-Grabfeld,104,5139,242601,822811
+299,9,Freistaat Bayern,9674,Haßberge,70,1978,116856,228606
+300,9,Freistaat Bayern,9675,Kitzingen,126,3987,405882,749093
+301,9,Freistaat Bayern,9676,Miltenberg,78,2307,158205,299537
+302,9,Freistaat Bayern,9677,Main-Spessart,109,3449,243146,530671
+303,9,Freistaat Bayern,9678,Schweinfurt,39,1119,54736,113787
+304,9,Freistaat Bayern,9679,Würzburg,91,2992,256840,476700
+305,9,Freistaat Bayern,9761,Augsburg,47,4638,478115,855121
+306,9,Freistaat Bayern,9762,Kaufbeuren,8,497,49563,89787
+307,9,Freistaat Bayern,9763,Kempten (Allgäu),21,1517,187609,326587
+308,9,Freistaat Bayern,9764,Memmingen,22,1009,111396,188981
+309,9,Freistaat Bayern,9771,Aichach-Friedberg,46,1610,124216,224400
+310,9,Freistaat Bayern,9772,Augsburg,62,3037,224591,407590
+311,9,Freistaat Bayern,9773,Dillingen a.d.Donau,29,1466,90161,233410
+312,9,Freistaat Bayern,9774,Günzburg,86,5359,566168,972677
+313,9,Freistaat Bayern,9775,Neu-Ulm,62,3185,290778,495415
+314,9,Freistaat Bayern,9776,Lindau (Bodensee),254,10155,567593,2033041
+315,9,Freistaat Bayern,9777,Ostallgäu,470,16714,1187008,3470373
+316,9,Freistaat Bayern,9778,Unterallgäu,130,6186,310896,1107995
+317,9,Freistaat Bayern,9779,Donau-Ries,78,2957,178388,382436
+318,9,Freistaat Bayern,9780,Oberallgäu,1099,36233,1559808,6230034
+319,10,Saarland,10041,Regionalverband Saarbrücken,56,3924,353760,617545
+320,10,Saarland,10042,Landkreis Merzig-Wadern,64,5668,187756,630651
+321,10,Saarland,10043,Landkreis Neunkirchen,22,1208,53934,235407
+322,10,Saarland,10044,Landkreis Saarlouis,48,2915,101990,276095
+323,10,Saarland,10045,Saarpfalz-Kreis,42,3302,110697,402459
+324,10,Saarland,10046,Landkreis St. Wendel,35,7261,265728,996398
+325,11,Berlin,11000,Berlin,798,146742,13502552,32871634
+326,12,Brandenburg,12051,Brandenburg an der Havel,46,1854,97694,235723
+327,12,Brandenburg,12052,Cottbus,21,1790,146108,266552
+328,12,Brandenburg,12053,Frankfurt (Oder),19,839,59536,138641
+329,12,Brandenburg,12054,Potsdam,58,6086,550173,1277928
+330,12,Brandenburg,12060,Barnim,91,6175,261933,905925
+331,12,Brandenburg,12061,Dahme-Spreewald,169,10128,840874,1813163
+332,12,Brandenburg,12062,Elbe-Elster,60,1830,58645,238070
+333,12,Brandenburg,12063,Havelland,68,2198,121081,259953
+334,12,Brandenburg,12064,Märkisch-Oderland,101,4696,200149,767318
+335,12,Brandenburg,12065,Oberhavel,106,3878,227295,496843
+336,12,Brandenburg,12066,Oberspreewald-Lausitz,96,4384,272848,765615
+337,12,Brandenburg,12067,Oder-Spree,131,9090,437844,1332397
+338,12,Brandenburg,12068,Ostprignitz-Ruppin,124,6621,332376,1083625
+339,12,Brandenburg,12069,Potsdam-Mittelmark,142,7625,448660,1311098
+340,12,Brandenburg,12070,Prignitz,79,2687,126828,275513
+341,12,Brandenburg,12071,Spree-Neiße,114,4713,273165,789362
+342,12,Brandenburg,12072,Teltow-Fläming,96,4422,260118,576450
+343,12,Brandenburg,12073,Uckermark,142,6569,339803,1012548
+344,13,Mecklenburg-Vorpommern,13003,"Rostock, Hansestadt",113,14958,818282,2139097
+345,13,Mecklenburg-Vorpommern,13004,"Schwerin, Landeshauptstadt",47,2748,209079,362429
+346,13,Mecklenburg-Vorpommern,13071,Mecklenburgische Seenplatte,408,44850,1050403,3639281
+347,13,Mecklenburg-Vorpommern,13072,Landkreis Rostock,359,35919,1151835,5022830
+348,13,Mecklenburg-Vorpommern,13073,Vorpommern-Rügen,925,91770,2229504,10024917
+349,13,Mecklenburg-Vorpommern,13074,Nordwestmecklenburg,195,21080,643147,2335845
+350,13,Mecklenburg-Vorpommern,13075,Vorpommern-Greifswald,563,53093,1392886,6228820
+351,13,Mecklenburg-Vorpommern,13076,Ludwigslust-Parchim,185,14246,379063,1131080
+352,14,Sachsen,14511,Chemnitz,44,3506,267116,520996
+353,14,Sachsen,14521,Erzgebirgskreis,274,12761,611082,1889450
+354,14,Sachsen,14522,Mittelsachsen,160,6074,292258,648680
+355,14,Sachsen,14523,Vogtlandkreis,152,8162,348893,1443185
+356,14,Sachsen,14524,Zwickau,86,4627,249467,514743
+357,14,Sachsen,14612,Dresden,184,23024,2247007,4604408
+358,14,Sachsen,14625,Bautzen,161,5460,276778,749466
+359,14,Sachsen,14626,Görlitz,212,9250,440782,1144285
+360,14,Sachsen,14627,Meißen,138,5837,346604,756743
+361,14,Sachsen,14628,Sächsische Schweiz-Osterzgebirge,338,16501,751778,2790744
+362,14,Sachsen,14713,Leipzig,133,17686,1836797,3376257
+363,14,Sachsen,14729,Leipzig,107,5321,238426,871799
+364,14,Sachsen,14730,Nordsachsen,96,4771,271825,776001
+365,15,Sachsen-Anhalt,15001,Dessau-Roßlau,26,1470,122642,202806
+366,15,Sachsen-Anhalt,15002,Halle (Saale),41,2855,254159,429592
+367,15,Sachsen-Anhalt,15003,Magdeburg,51,5661,405777,692213
+368,15,Sachsen-Anhalt,15081,Altmarkkreis Salzwedel,53,4069,98342,351575
+369,15,Sachsen-Anhalt,15082,Anhalt-Bitterfeld,59,3739,120324,240435
+370,15,Sachsen-Anhalt,15083,Börde,55,5078,173334,449806
+371,15,Sachsen-Anhalt,15084,Burgenlandkreis,116,6463,260715,727353
+372,15,Sachsen-Anhalt,15085,Harz,344,21763,1003185,2791372
+373,15,Sachsen-Anhalt,15086,Jerichower Land,44,2484,80721,155273
+374,15,Sachsen-Anhalt,15087,Mansfeld-Südharz,70,3800,167668,368063
+375,15,Sachsen-Anhalt,15088,Saalekreis,66,4338,223790,422542
+376,15,Sachsen-Anhalt,15089,Salzlandkreis,69,3881,138316,431731
+377,15,Sachsen-Anhalt,15090,Stendal,58,3328,142354,267370
+378,15,Sachsen-Anhalt,15091,Wittenberg,84,6950,241359,704767
+379,16,Thüringen,16051,Erfurt,66,5438,504212,879168
+380,16,Thüringen,16052,Gera,15,1201,104524,172107
+381,16,Thüringen,16053,Jena,28,2124,198505,334627
+382,16,Thüringen,16054,Suhl,18,1815,91087,233175
+383,16,Thüringen,16055,Weimar,46,4383,394516,743331
+384,16,Thüringen,16056,Eisenach,30,2064,201388,336530
+385,16,Thüringen,16061,Eichsfeld,48,2304,116130,330929
+386,16,Thüringen,16062,Nordhausen,34,1785,79623,187366
+387,16,Thüringen,16063,Wartburgkreis,91,4264,135088,775418
+388,16,Thüringen,16064,Unstrut-Hainich-Kreis,46,2414,119606,407851
+389,16,Thüringen,16065,Kyffhäuserkreis,42,2605,106940,357293
+390,16,Thüringen,16066,Schmalkalden-Meiningen,118,5430,266952,620854
+391,16,Thüringen,16067,Gotha,98,6098,334024,942050
+392,16,Thüringen,16068,Sömmerda,19,677,28815,63209
+393,16,Thüringen,16069,Hildburghausen,62,2883,94846,369756
+394,16,Thüringen,16070,Ilm-Kreis,87,3418,156608,365902
+395,16,Thüringen,16071,Weimarer Land,49,3291,167374,551760
+396,16,Thüringen,16072,Sonneberg,40,1430,58099,183976
+397,16,Thüringen,16073,Saalfeld-Rudolstadt,96,4128,160280,446439
+398,16,Thüringen,16074,Saale-Holzland-Kreis,46,2082,99598,349616
+399,16,Thüringen,16075,Saale-Orla-Kreis,67,2850,100450,328509
+400,16,Thüringen,16076,Greiz,36,1545,65812,137514
+401,16,Thüringen,16077,Altenburger Land,25,949,43698,96785
diff --git a/data/metadata/column_type_desc.csv b/data/metadata/column_type_desc.csv
index bf72a31..e6f3cc2 100644
--- a/data/metadata/column_type_desc.csv
+++ b/data/metadata/column_type_desc.csv
@@ -1,13 +1,10 @@
 column_name,type
-Country,object
-Region,categorical
-Happiness Rank,numerical
-Happiness Score,numerical
-Standard Error,numerical
-Economy (GDP per Capita),numerical
-Family,numerical
-Health (Life Expectancy),numerical
-Freedom,numerical
-Trust (Government Corruption),numerical
-Generosity,numerical
-Dystopia Residual,numerical
+_id,numerical
+ags2,categorical
+bundesland,categorical
+ags5,numerical
+kreis,object
+kr_to_be,numerical
+kr_to_bett,numerical
+kr_to_ga,numerical
+kr_to_gue,numerical
diff --git a/data/metadata/model_params.json b/data/metadata/model_params.json
index 37565c4..d75ab84 100644
--- a/data/metadata/model_params.json
+++ b/data/metadata/model_params.json
@@ -1 +1 @@
-{"X": ["Happiness Rank"], "y": "Happiness Score", "pred_type": "Regression"}
\ No newline at end of file
+{"X": ["bundesland", "ags5", "kr_to_ga", "kr_to_bett"], "y": "kr_to_be", "pred_type": "Regression"}
\ No newline at end of file
diff --git a/data/metadata/model_reg.sav b/data/metadata/model_reg.sav
index 758cec7..c026ec6 100644
Binary files a/data/metadata/model_reg.sav and b/data/metadata/model_reg.sav differ
diff --git a/pages/data_upload.py b/pages/data_upload.py
index d033916..96b4591 100644
--- a/pages/data_upload.py
+++ b/pages/data_upload.py
@@ -1,10 +1,7 @@
-import collections
-from numpy.core.defchararray import lower
 import streamlit as st
 import numpy as np
 import pandas as pd
 from pages import utils
-import streamlit.components.v1 as components 
 
 # @st.cache
 def app():
diff --git a/pages/data_visualize.py b/pages/data_visualize.py
index 098e987..f418cdf 100644
--- a/pages/data_visualize.py
+++ b/pages/data_visualize.py
@@ -1,11 +1,9 @@
-from numpy.core.defchararray import index
 import streamlit as st
 import numpy as np
 import pandas as pd
 from pages import utils
 import matplotlib.pyplot as plt
 import seaborn as sns
-import altair as alt
 import os
 
 def app():
diff --git a/pages/inference.py b/pages/inference.py
deleted file mode 100644
index bbfad18..0000000
--- a/pages/inference.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# Import necessary libraries
-import json
-import joblib
-import os
-
-import pandas as pd
-import streamlit as st
-
-# Machine Learning 
-from sklearn.model_selection import train_test_split
-from sklearn.preprocessing import LabelEncoder
-from sklearn.linear_model import LinearRegression, LogisticRegression
-from sklearn.tree import DecisionTreeRegressor, DecisionTreeClassifier
-
-def app():
-
-    # Read the data 
-    if 'main_data.csv' not in os.listdir('data'):
-        st.markdown("Please upload data through `Upload Data` page!")
-    else:
-        data = pd.read_csv('data/main_data.csv')
-
-    # Also read the column types 
-    types = pd.read_csv('data/metadata/column_type_desc.csv')
-    # Load the model parameters
-    with open('data/metadata/model_params.json') as f:
-        params = json.load(f)
-
-    X_var = params['X']
-    y_var = params['y']
-    pred_type = params['pred_type']
-
-    st.write(f"""You ran a machine learning model with the following parameters:\n
-    Prediction Variables: {X_var}
-    Predicted Variable: {y_var}
-    
-    In this section you can mainpulate the X_values to see how the y_variables will change! 
-    """)
-
-    for i in range(len(X_var)):
-        col = X_var[i]
-        st.write(col)
-
-        # Check column type 
-        type = types[types['column_name'] == col]['type'].values[0]
-        if type == 'numerical':
-            min_val = float(round(data[col].min(), 1))
-            max_val = float(round(data[col].max(), 1))
-
-            col_value = st.slider(label=col, min_value=min_val, max_value=max_val, step=(max_val-min_val)/10)
diff --git a/pages/utils.py b/pages/utils.py
index df89b77..e0d7421 100644
--- a/pages/utils.py
+++ b/pages/utils.py
@@ -9,9 +9,9 @@ def isCategorical(col):
         return True
     return False
 
-def getProfile(data):
-    report = ProfileReport(data)
-    report.to_file(output_file = 'data/output.html')
+# def getProfile(data):
+#     report = ProfileReport(data)
+#     report.to_file(output_file = 'data/output.html')
 
 def getColumnTypes(cols):
     Categorical=[]
diff --git a/requirements.txt b/requirements.txt
index 1e68559..7d2b83f 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,89 +1,4 @@
-altair==4.1.0
-argon2-cffi==20.1.0
-astor==0.8.1
-async-generator==1.10
-attrs==21.2.0
-backcall==0.2.0
-base58==2.1.0
-bleach==3.3.0
-blinker==1.4
-cachetools==4.2.2
-certifi==2020.12.5
-cffi==1.14.5
-chardet==4.0.0
-click==8.0.0
-colorama==0.4.4
-cycler==0.10.0
-decorator==5.0.9
-defusedxml==0.7.1
-entrypoints==0.3
-gitdb==4.0.7
-GitPython==3.1.17
-idna==2.10
-importlib-metadata==4.0.1
-ipykernel==5.5.5
-ipython==7.16.1
-ipython-genutils==0.2.0
-ipywidgets==7.6.3
-jedi==0.18.0
-Jinja2==3.0.0
-joblib==1.0.1
-jsonschema==3.2.0
-jupyter-client==6.1.12
-jupyter-core==4.7.1
-jupyterlab-pygments==0.1.2
-jupyterlab-widgets==1.0.0
-kiwisolver==1.3.1
-MarkupSafe==2.0.0
-matplotlib==3.3.2
-mistune==0.8.4
-nbclient==0.5.3
-nbconvert==6.0.7
-nbformat==5.1.3
-nest-asyncio==1.5.1
-notebook==6.3.0
-numpy==1.19.5
-packaging==20.9
-pandas==1.1.5
-pandocfilters==1.4.3
-parso==0.8.2
-pickleshare==0.7.5
-Pillow==8.2.0
-prometheus-client==0.10.1
-prompt-toolkit==3.0.18
-protobuf==3.17.0
-pyarrow==4.0.0
-pycparser==2.20
-pydeck==0.6.2
-Pygments==2.9.0
-pyparsing==2.4.7
-pyrsistent==0.17.3
-python-dateutil==2.8.1
-pytz==2021.1
-pywin32==300
-pywinpty==0.5.7
-pyzmq==22.0.3
-requests==2.25.1
 scikit-learn==0.24.2
-scipy==1.5.4
-seaborn==0.11.1
-Send2Trash==1.5.0
-six==1.16.0
-smmap==4.0.0
-streamlit==0.80.0
-terminado==0.9.5
-testpath==0.4.4
-threadpoolctl==2.1.0
-toml==0.10.2
-toolz==0.11.1
-tornado==6.1
-traitlets==4.3.3
-typing-extensions==3.10.0.0
-tzlocal==2.1
-urllib3==1.26.4
-validators==0.18.2
-watchdog==2.1.1
-wcwidth==0.2.5
-webencodings==0.5.1
-widgetsnbextension==3.5.1
-zipp==3.4.1
+pandas==1.2.4
+streamlit==0.83.0
+matplotlib==3.4.2
\ No newline at end of file