Baselight

COVID-19 Healthy Diet Dataset

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

@kaggle.mariaren_covid19_healthy_diet_dataset

Food Supply Quantity Kg Data
@kaggle.mariaren_covid19_healthy_diet_dataset.food_supply_quantity_kg_data

  • 63.63 KB
  • 170 rows
  • 32 columns
country

Country

alcoholic_beverages

Alcoholic Beverages

animal_fats

Animal Fats

animal_products

Animal Products

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

miscellaneous

Miscellaneous

offals

Offals

oilcrops

Oilcrops

pulses

Pulses

spices

Spices

starchy_roots

Starchy Roots

stimulants

Stimulants

sugar_sweeteners

Sugar \u0026 Sweeteners

sugar_crops

Sugar Crops

treenuts

Treenuts

vegetable_oils

Vegetable Oils

vegetables

Vegetables

vegetal_products

Vegetal Products

obesity

Obesity

undernourished

Undernourished

confirmed

Confirmed

deaths

Deaths

recovered

Recovered

active

Active

population

Population

unit_all_except_population

Unit (all Except Population)

Afghanistan0.00140.19739.434124.80970.20990.0355.34951.2027.58280.07280.20570.070.29530.05740.88020.30781.34890.0770.53456.764240.56454.529.80.1421341964652690.00618577887381830.123373921085080.012574496506370738928000%
Albania1.67190.135718.76845.78170.58150.21266.78611.884515.72130.11230.23240.93770.2380.00081.80960.10551.53670.15150.326111.775331.230422.36.22.967300916138130.05095137420718821.792635658914731.123713883016212838000%
Algeria0.27110.02829.633413.68160.52770.24166.38011.13057.61890.16710.0870.34930.47830.05574.1340.22161.83420.11521.03111.648440.365126.63.90.2448970850147670.00655815316635480.1675721983001560.070766733548256244357000%
Angola5.80870.0564.92789.10850.05871.77076.00052.05710.83110.11650.1550.41860.65070.000918.11020.05081.84950.00610.64632.304145.07226.8250.06168747309513560.00146054978168620.05680769940348070.003419223909968632522000%
Antigua and Barbuda3.57640.008716.66135.9960.22744.148910.74515.68886.36630.71390.22190.21720.1840.15241.45220.15643.87490.02530.81025.449533.323319.1nan0.2938775510204080.00714285714285710.1908163265306120.095918367346938898000%
Argentina4.26720.223419.34548.41020.99790.46936.04357.042110.23280.37790.01160.05280.01223.0420.43783.05360.020.95414.350330.655928.54.64.356147387442980.1082266346386943.905192057650350.34272869515393345377000%
Armenia0.40140.183313.5647.29820.57830.28966.09892.26759.94070.23550.3040.08990.14410.00552.03590.18632.65790.11080.470516.701936.435820.94.35.681224627875510.1053450608930995.39841001353180.1774695534506092956000%
Australia5.54360.314321.41750.00335.49790.44281.42644.18836.704912.10180.52930.4240.36940.05460.04582.78840.29282.53640.31761.27985.140628.580630.4<2.50.1120253164556960.00352954880795210.1012891201366780.007206647511066225754000%
Austria7.02150.855519.56540.00116.21160.78840.75624.60694.68112.37760.00050.10520.26830.04560.04943.05480.41062.60940.23670.81095.109830.433821.9<2.54.739982050706750.08967915638321744.496870091990130.1534328023334088914000%
Azerbaijan3.59690.254411.641613.08980.55930.2024.79882.15138.32120.01450.15340.01450.03470.00444.70410.05871.55230.19060.223510.075538.358419.9<2.52.285536208943410.03122279382667192.225573802928370.028739612188365710108000%

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

Share link

Anyone who has the link will be able to view this.