Global Nutrition Adult And Adolescent Dataset

State of Adult and Adolescent Nutrition

@kaggle.amohankumar_global_nutrition_adult_and_adolescent_dataset

Table List

8 tables(1.43 MB)

Country Adolescent

Country Adult

Country Determinants

Country Dietary Needs

Country Dietary Needs

@kaggle.amohankumar_global_nutrition_adult_and_adolescent_dataset.country_dietary_needs

21.42 KB
193 rows
15 columns

iso3 Iso3	country Country	region Region	subregion Subregion	disaggregation Disaggregation	disagg_value Disagg.value	section Section	fruit Fruit	vegetables Vegetables	legumes Legumes	nuts Nuts	whole_grains Whole Grains	fish Fish	dairy Dairy	red_meat Red Meat
AFG	Afghanistan	Asia	Southern Asia	location	National	Dietary needs	65.7	98.1	103.8	31.2	41.5	3.2	91.1	10.7
AGO	Angola	Africa	Middle Africa	location	National	Dietary needs	119.7	308.8	37.8	11.6	57.6	38	65.8	16.8
ALB	Albania	Europe	Southern Europe	location	National	Dietary needs	138.9	129.1	40.2	12.3	31.2	18.3	404.9	61.6
AND	Andorra	Europe	Southern Europe	location	National	Dietary needs
ARE	United Arab Emirates	Asia	Western Asia	location	National	Dietary needs	107.6	123.3	40.6	31.7	37.2	40.5	428.4	29.6
ARG	Argentina	Latin America and the Caribbean	South America	location	National	Dietary needs	94	123.8	3.6	1.6	10.8	11.6	519.1	86.7
ARM	Armenia	Asia	Western Asia	location	National	Dietary needs	91.2	95.9	14.7	18.9	23.3	47.9	403.7	62.4
ATG	Antigua and Barbuda	Latin America and the Caribbean	Caribbean	location	National	Dietary needs	95.5	232.1	43.5	2.5	14.3	46.5	223.8	36.3
AUS	Australia	Oceania	Australia and New Zealand	location	National	Dietary needs	131.9	116.8	23.2	7.4	64.9	28.6	666.3	61.6
AUT	Austria	Europe	Western Europe	location	National	Dietary needs	105.7	118.4	6.4	5.4	29.2	21.1	558.7	106.2


CREATE TABLE country_dietary_needs (
  "iso3" VARCHAR,
  "country" VARCHAR,
  "region" VARCHAR,
  "subregion" VARCHAR,
  "disaggregation" VARCHAR,
  "disagg_value" VARCHAR,
  "section" VARCHAR,
  "fruit" DOUBLE,
  "vegetables" DOUBLE,
  "legumes" DOUBLE,
  "nuts" DOUBLE,
  "whole_grains" DOUBLE,
  "fish" DOUBLE,
  "dairy" DOUBLE,
  "red_meat" DOUBLE
);