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

Fat Supply Quantity Data

@kaggle.mariaren_covid19_healthy_diet_dataset.fat_supply_quantity_data

60.08 KB
170 rows
32 columns

country Country	animal_products Animal Products	animal_fats Animal Fats	cereals_excluding_beer Cereals - Excluding Beer	eggs Eggs	fish_seafood Fish, Seafood	fruits_excluding_wine Fruits - Excluding Wine	meat Meat	miscellaneous Miscellaneous	milk_excluding_butter Milk - Excluding Butter	offals Offals	oilcrops Oilcrops	pulses Pulses	spices Spices	starchy_roots Starchy Roots	stimulants Stimulants	treenuts Treenuts	vegetal_products Vegetal Products	vegetable_oils Vegetable Oils	vegetables Vegetables	obesity Obesity	undernourished Undernourished	confirmed Confirmed	deaths Deaths	recovered Recovered	active Active	population Population	unit_all_except_population Unit (all Except Population)
Afghanistan	21.6397	6.2224	8.0353	0.6859	0.0327	0.4246	6.1244	0.0163	8.2803	0.3103	1.0452	0.196	0.2776	0.049	0.098	0.7513	28.3684	17.0831	0.3593	4.5	29.8	0.142134196465269	0.0061857788738183	0.12337392108508	0.0125744965063707	38928000	%
Albania	32.0002	3.4172	2.6734	1.6448	0.1445	0.6418	8.7428	0.017	17.7576	0.2933	3.1622	0.1148		0.051	0.527	0.9181	17.9998	9.2443	0.6503	22.3	6.2	2.96730091613813	0.0509513742071882	1.79263565891473	1.12371388301621	2838000	%
Algeria	14.4175	0.8972	4.2035	1.2171	0.2008	0.5772	3.8961	0.0439	8.0934	0.1067	1.1983	0.2698	0.1568	0.1129	0.2886	0.8595	35.5857	27.3606	0.5145	26.6	3.9	0.244897085014767	0.0065581531663548	0.167572198300156	0.0707667335482562	44357000	%
Angola	15.3041	1.313	6.5545	0.1539	1.4155	0.3488	11.0268	0.0308	1.2309	0.1539	3.9902	0.3282	0.0103	0.7078	0.1128	0.0308	34.701	22.4638	0.1231	6.8	25	0.0616874730951356	0.0014605497816862	0.0568076994034807	0.0034192239099686	32522000	%
Antigua and Barbuda	27.7033	4.6686	3.2153	0.3872	1.5263	1.2177	14.3202	0.0898	6.6607	0.1347	1.3579	0.0673	0.3591	0.0449	1.0549	0.202	22.2995	14.4436	0.2469	19.1	nan	0.293877551020408	0.0071428571428571	0.190816326530612	0.0959183673469388	98000	%
Argentina	30.3572	3.3076	1.3316	1.5706	0.1664	0.2091	19.2693		5.8512	0.1878	0.064	0.0213	0.0213	0.111	0.2475	0.1366	19.6449	17.3147	0.1878	28.5	4.6	4.35614738744298	0.108226634638694	3.90519205765035	0.342728695153933	45377000	%
Armenia	29.6642	6.2619	2.5068	1.6196	0.2218	0.5468	10.8165	0.0361	10.4709	0.2734	0.6602	0.0774	0.0103	0.0567	1.8002	0.9542	20.3384	12.8127	0.8717	20.9	4.3	5.68122462787551	0.105345060893099	5.3984100135318	0.177469553450609	2956000	%
Australia	24.1099	4.603	0.9908	0.7017	0.4515	0.4028	11.6002	0.052	6.5196	0.2339	1.2929	0.026	0.1007	0.0422	0.7926	1.6145	25.8901	20.3612	0.2144	30.4	<2.5	0.112025316455696	0.0035295488079521	0.101289120136678	0.0072066475110662	25754000	%
Austria	27.8268	12.8517	1.2297	1.2147	0.4259	0.2249	8.1099		5.1497	0.075	1.1367	0.012	0.102	0.045	0.4439	0.8398	22.1762	17.9323	0.2039	21.9	<2.5	4.73998205070675	0.0896791563832174	4.49687009199013	0.153432802333408	8914000	%
Azerbaijan	32.1198	7.7987	5.4481	2.0197	0.2122	0.594	11.9993	0.017	9.9202	0.1612	0.1867	0.0255	0.017	0.1697	1.3663	2.2573	17.8802	7.1538	0.6534	19.9	<2.5	2.28553620894341	0.0312227938266719	2.22557380292837	0.0287396121883657	10108000	%


CREATE TABLE fat_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,
  "miscellaneous" 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,
  "obesity" DOUBLE,
  "undernourished" VARCHAR,
  "confirmed" DOUBLE,
  "deaths" DOUBLE,
  "recovered" DOUBLE,
  "active" DOUBLE,
  "population" DOUBLE,
  "unit_all_except_population" VARCHAR
);