Python Data Visualization Essentials Guide

overall_rank Overall Rank	country_or_region Country Or Region	score Score	gdp_per_capita GDP Per Capita	social_support Social Support	healthy_life_expectancy Healthy Life Expectancy	freedom_to_make_life_choices Freedom To Make Life Choices	generosity Generosity	perceptions_of_corruption Perceptions Of Corruption
1	Finland	7.769	1.34	1.587	0.986	0.596	0.153	0.393
2	Denmark	7.6	1.383	1.573	0.996	0.592	0.252	0.41
3	Norway	7.554	1.488	1.582	1.028	0.603	0.271	0.341
4	Iceland	7.494	1.38	1.624	1.026	0.591	0.354	0.118
5	Netherlands	7.488	1.396	1.522	0.999	0.557	0.322	0.298
6	Switzerland	7.48	1.452	1.526	1.052	0.572	0.263	0.343
7	Sweden	7.343	1.387	1.487	1.009	0.574	0.267	0.373
8	New Zealand	7.307	1.303	1.557	1.026	0.585	0.33	0.38
9	Canada	7.278	1.365	1.505	1.039	0.584	0.285	0.308
10	Austria	7.246	1.376	1.475	1.016	0.532	0.244	0.226


CREATE TABLE n_2019 (
  "overall_rank" BIGINT,
  "country_or_region" VARCHAR,
  "score" DOUBLE,
  "gdp_per_capita" DOUBLE,
  "social_support" DOUBLE,
  "healthy_life_expectancy" DOUBLE,
  "freedom_to_make_life_choices" DOUBLE,
  "generosity" DOUBLE,
  "perceptions_of_corruption" DOUBLE
);