COVID-19 Healthy Diet Dataset

Let's fight COVID-19 by adapting to a healthy diet!

@kaggle.mariaren_covid19_healthy_diet_dataset

Table List

5 tables(256.4 KB)

Fat Supply Quantity Data

Food Supply Kcal Data

Food Supply Quantity Kg Data

Protein Supply Quantity Data

Supply Food Data Descriptions

Protein Supply Quantity Data

@kaggle.mariaren_covid19_healthy_diet_dataset.protein_supply_quantity_data

62.06 KB
170 rows
32 columns

country Country	alcoholic_beverages Alcoholic Beverages	animal_products Animal Products	animal_fats Animal Fats	aquatic_products_other Aquatic Products, Other	cereals_excluding_beer Cereals - Excluding Beer	eggs Eggs	fish_seafood Fish, Seafood	fruits_excluding_wine Fruits - Excluding Wine	meat Meat	milk_excluding_butter Milk - Excluding Butter	offals Offals	oilcrops Oilcrops	pulses Pulses	spices Spices	starchy_roots Starchy Roots	stimulants Stimulants	sugar_sweeteners Sugar \u0026 Sweeteners	treenuts Treenuts	vegetal_products Vegetal Products	vegetable_oils Vegetable Oils	vegetables Vegetables	miscellaneous Miscellaneous	obesity Obesity	undernourished Undernourished	confirmed Confirmed	deaths Deaths	recovered Recovered	active Active	population Population	unit_all_except_population Unit (all Except Population)
Afghanistan		9.7523	0.0277		35.9771	0.4067	0.0647	0.5824	3.1337	5.5278	0.5916	0.2034	1.2479	0.1664	0.1941	0.5546		0.1387	40.2477		1.137	0.0462	4.5	29.8	0.142134196465269	0.0061857788738183	0.12337392108508	0.0125744965063707	38928000	%
Albania	0.184	27.7469	0.0711		14.2331	1.8069	0.6274	1.2757	7.6582	16.475	1.1084	0.3722	1.4555		0.8867	0.2635	0.0042	0.2677	22.2552	0.0084	3.2456	0.0544	22.3	6.2	2.96730091613813	0.0509513742071882	1.79263565891473	1.12371388301621	2838000	%
Algeria	0.0323	13.836	0.0054		26.5633	1.2916	0.635	1.1624	3.5088	8.0616	0.3283	0.183	2.5509	0.1776	1.4638	0.4628		0.2745	36.1694	0.0269	3.1267	0.1399	26.6	3.9	0.244897085014767	0.0065581531663548	0.167572198300156	0.0707667335482562	44357000	%
Angola	0.6285	15.2311	0.0277		20.3882	0.1756	5.4436	1.2754	7.6248	1.146	0.8133	2.1534	4.085		5.1941	0.1017	0.0092	0.0092	34.7782	0.0092	0.8133	0.0924	6.8	25	0.0616874730951356	0.0014605497816862	0.0568076994034807	0.0034192239099686	32522000	%
Antigua and Barbuda	0.1535	33.1901	0.1289		10.5108	0.485	8.2146	1.2586	16.067	7.4349	0.8534	0.7674	0.8841	0.3438	0.4666	0.4113		0.0737	16.8161	0.043	1.6024	0.2947	19.1	nan	0.293877551020408	0.0071428571428571	0.190816326530612	0.0959183673469388	98000	%
Argentina	0.1704	31.9799	0.0097		13.6702	2.0593	1.0223	0.5209	21.625	5.8322	1.4313	0.0097	0.2434	0.0292	1.3096	0.9688	0.0049	0.0438	18.0176		1.0516		28.5	4.6	4.35614738744298	0.108226634638694	3.90519205765035	0.342728695153933	45377000	%
Armenia	0.0411	22.8846	0.1438		18.2738	1.756	0.8831	1.1142	8.5233	10.038	1.5404	0.2619	0.9191	0.0154	0.9191	0.5545	0.0051	0.2208	27.1154	0.0205	4.6621	0.1078	20.9	4.3	5.68122462787551	0.105345060893099	5.3984100135318	0.177469553450609	2956000	%
Australia	0.2914	32.9787	0.074	0.0046	10.9343	1.0916	2.8585	0.518	18.8298	8.432	1.6929	0.6984	0.2683	0.1203	0.9944	0.7031		0.7724	17.0213	0.0463	1.4524	0.2174	30.4	<2.5	0.112025316455696	0.0035295488079521	0.101289120136678	0.0072066475110662	25754000	%
Austria	0.615	30.0009	0.3376		13.1508	2.1456	1.8358	0.6242	13.6549	11.4954	0.5318	1.5028	0.2405	0.1341	1.045	0.726	0.0139	0.3561	19.9991	0.0647	1.5259		21.9	<2.5	4.73998205070675	0.0896791563832174	4.49687009199013	0.153432802333408	8914000	%
Azerbaijan	0.3465	16.3039	0.0596		28.2218	1.4078	0.4873	0.5631	6.8551	6.8497	0.6444	0.0541	0.1787	0.0108	1.7652	0.2328		0.3411	33.7015	0.0217	1.9114	0.0433	19.9	<2.5	2.28553620894341	0.0312227938266719	2.22557380292837	0.0287396121883657	10108000	%


CREATE TABLE protein_supply_quantity_data (
  "country" VARCHAR,
  "alcoholic_beverages" DOUBLE,
  "animal_products" DOUBLE,
  "animal_fats" DOUBLE,
  "aquatic_products_other" DOUBLE,
  "cereals_excluding_beer" DOUBLE,
  "eggs" DOUBLE,
  "fish_seafood" DOUBLE,
  "fruits_excluding_wine" DOUBLE,
  "meat" DOUBLE,
  "milk_excluding_butter" DOUBLE,
  "offals" DOUBLE,
  "oilcrops" DOUBLE,
  "pulses" DOUBLE,
  "spices" DOUBLE,
  "starchy_roots" DOUBLE,
  "stimulants" DOUBLE,
  "sugar_crops" DOUBLE,
  "sugar_sweeteners" DOUBLE,
  "treenuts" DOUBLE,
  "vegetal_products" DOUBLE,
  "vegetable_oils" DOUBLE,
  "vegetables" DOUBLE,
  "miscellaneous" DOUBLE,
  "obesity" DOUBLE,
  "undernourished" VARCHAR,
  "confirmed" DOUBLE,
  "deaths" DOUBLE,
  "recovered" DOUBLE,
  "active" DOUBLE,
  "population" DOUBLE,
  "unit_all_except_population" VARCHAR
);