Structure of Data
## 'data.frame': 137 obs. of 29 variables:
## $ Country : Factor w/ 137 levels "Afghanistan",..: 1 2 3 4 5 6 7 8 9 10 ...
## $ Happiness_Rank : Ord.factor w/ 3 levels "VH"<"H"<"U": 3 2 2 3 1 3 1 1 2 2 ...
## $ accessibility_to_cities: num 317.7 73.8 1212.8 378.2 209.2 ...
## $ elevation : num 1832 652 557 1061 683 ...
## $ aspect : num 201 192 185 174 145 ...
## $ slope : num 1.516 1.89 0.171 0.193 0.624 ...
## $ cropland_cover : num 9.51 23.35 3.69 2.79 21.96 ...
## $ tree_canopy_cover : num 0.375 12.805 0.177 19.87 8.834 ...
## $ isothermality : num 35.9 33.2 40.3 64.3 49.9 ...
## $ rain_coldestQuart : num 128.72 392.51 25.29 8.05 79.09 ...
## $ rain_driestMonth : num 1.722 40.088 0.935 0.26 17.183 ...
## $ rain_driestQuart : num 8.3 138.15 6.09 4.43 60.49 ...
## $ rain_mean_annual : num 311.3 1151.1 79.5 1023.4 539.9 ...
## $ rain_seasonailty : num 91.6 38.5 67.1 91.5 48.3 ...
## $ rain_warmestQuart : num 12.69 138.33 9.51 318.54 183.14 ...
## $ rain_wettestMonth : num 67.8 159 13.4 202.2 79.2 ...
## $ rain_wettestQuart : num 175.8 435.9 33.3 524.3 211.7 ...
## $ temp_annual_range : num 40.3 27.1 36.5 21.5 26.8 ...
## $ temp_coldestQuart : num -0.261 3.58 13.152 18.794 8.024 ...
## $ temp_diurnal_range : num 14.72 9.11 14.87 13.85 13.46 ...
## $ temp_driestQuart : num 21.1 19.6 26.9 18.9 11.1 ...
## $ temp_max_warmestMonth : num 32 26.3 41.5 31 28.2 ...
## $ temp_mean_annual : num 11.5 11.5 23 21.6 14.2 ...
## $ temp_min_coldestMonth : num -8.312 -0.806 5.058 9.549 1.443 ...
## $ temp_seasonality : num 88.2 62.7 75.1 18.5 47.6 ...
## $ temp_warmestQuart : num 22.7 19.6 32.5 23.3 20.2 ...
## $ temp_wettestQuart : num 3.95 5.27 20.81 22.76 16.48 ...
## $ wind : num 3.43 2.47 4.03 2.16 4.27 ...
## $ cloudiness : num 114.2 181.1 90.7 187.5 159 ...