Name: Bad Teeth, Sugar And Government Health Spending
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Bad Teeth, Sugar And Government Health Spending

If you get richer your teeth could get worse (if you eat more sugar foods) or better (because of better health assistance or, even, more education and health-conciousness). These variables can be analysed with these data, downloaded from Gapminder Data:

Bad teeth per child (12 yr, WHO)
GDP/capita (US$, inflation-adjusted, World Bank)
Government health spending per person (US$, WHO)
Sugar comsumption per person (g per day, FAO)
Literacy rate, adult total (% of people ages 15 and above, UNESCO)

Tables

Adultliteracy

@kaggle.angelmm_healthteethsugar.adultliteracy

33.99 kB
262 rows
38 columns

CREATE TABLE adultliteracy (
  "adult_15_literacy_rate_total" VARCHAR  -- Adult..15...literacy.rate......Total,
  "x1975" DOUBLE,
  "x1976" DOUBLE,
  "x1977" DOUBLE,
  "x1978" DOUBLE,
  "x1979" DOUBLE,
  "x1980" DOUBLE,
  "x1981" DOUBLE,
  "x1982" DOUBLE,
  "x1983" DOUBLE,
  "x1984" DOUBLE,
  "x1985" DOUBLE,
  "x1986" DOUBLE,
  "x1987" DOUBLE,
  "x1988" DOUBLE,
  "x1989" DOUBLE,
  "x1990" DOUBLE,
  "x1991" DOUBLE,
  "x1992" DOUBLE,
  "x1993" DOUBLE,
  "x1994" DOUBLE,
  "x1995" DOUBLE,
  "x1996" DOUBLE,
  "x1997" DOUBLE,
  "x1998" DOUBLE,
  "x1999" DOUBLE,
  "x2000" DOUBLE,
  "x2001" DOUBLE,
  "x2002" DOUBLE,
  "x2003" DOUBLE,
  "x2004" DOUBLE,
  "x2005" DOUBLE,
  "x2006" DOUBLE,
  "x2007" DOUBLE,
  "x2008" DOUBLE,
  "x2009" DOUBLE,
  "x2010" DOUBLE,
  "x2011" DOUBLE
);

Badteeth

@kaggle.angelmm_healthteethsugar.badteeth

6.13 kB
191 rows
5 columns

CREATE TABLE badteeth (
  "na" VARCHAR  -- NA.,
  "x2004" DOUBLE,
  "na_1" VARCHAR  -- NA..1,
  "na_2" VARCHAR  -- NA..2,
  "na_3" VARCHAR  -- NA..3
);

Gdp

@kaggle.angelmm_healthteethsugar.gdp

112.03 kB
275 rows
53 columns

CREATE TABLE gdp (
  "income_per_person_fixed_2000_us" VARCHAR  -- Income.per.person..fixed.2000.US..,
  "x1960" DOUBLE,
  "x1961" DOUBLE,
  "x1962" DOUBLE,
  "x1963" DOUBLE,
  "x1964" DOUBLE,
  "x1965" DOUBLE,
  "x1966" DOUBLE,
  "x1967" DOUBLE,
  "x1968" DOUBLE,
  "x1969" DOUBLE,
  "x1970" DOUBLE,
  "x1971" DOUBLE,
  "x1972" DOUBLE,
  "x1973" DOUBLE,
  "x1974" DOUBLE,
  "x1975" DOUBLE,
  "x1976" DOUBLE,
  "x1977" DOUBLE,
  "x1978" DOUBLE,
  "x1979" DOUBLE,
  "x1980" DOUBLE,
  "x1981" DOUBLE,
  "x1982" DOUBLE,
  "x1983" DOUBLE,
  "x1984" DOUBLE,
  "x1985" DOUBLE,
  "x1986" DOUBLE,
  "x1987" DOUBLE,
  "x1988" DOUBLE,
  "x1989" DOUBLE,
  "x1990" DOUBLE,
  "x1991" DOUBLE,
  "x1992" DOUBLE,
  "x1993" DOUBLE,
  "x1994" DOUBLE,
  "x1995" DOUBLE,
  "x1996" DOUBLE,
  "x1997" DOUBLE,
  "x1998" DOUBLE,
  "x1999" DOUBLE,
  "x2000" DOUBLE,
  "x2001" DOUBLE,
  "x2002" DOUBLE,
  "x2003" DOUBLE,
  "x2004" DOUBLE,
  "x2005" DOUBLE,
  "x2006" DOUBLE,
  "x2007" DOUBLE,
  "x2008" DOUBLE,
  "x2009" DOUBLE,
  "x2010" DOUBLE,
  "x2011" DOUBLE
);

Healthexpend

@kaggle.angelmm_healthteethsugar.healthexpend

43.3 kB
265 rows
17 columns

CREATE TABLE healthexpend (
  "per_capita_government_expenditure_on_health_at_average_b3fd9a58" VARCHAR  -- Per.capita.government.expenditure.on.health.at.average.exchange.rate..US..,
  "x1995" DOUBLE,
  "x1996" DOUBLE,
  "x1997" DOUBLE,
  "x1998" DOUBLE,
  "x1999" DOUBLE,
  "x2000" DOUBLE,
  "x2001" DOUBLE,
  "x2002" DOUBLE,
  "x2003" DOUBLE,
  "x2004" DOUBLE,
  "x2005" DOUBLE,
  "x2006" DOUBLE,
  "x2007" DOUBLE,
  "x2008" DOUBLE,
  "x2009" DOUBLE,
  "x2010" DOUBLE
);

Sugar Consumption

@kaggle.angelmm_healthteethsugar.sugar_consumption

54.73 kB
278 rows
46 columns

CREATE TABLE sugar_consumption (
  "na" VARCHAR  -- NA.,
  "x1961" DOUBLE,
  "x1962" DOUBLE,
  "x1963" DOUBLE,
  "x1964" DOUBLE,
  "x1965" DOUBLE,
  "x1966" DOUBLE,
  "x1967" DOUBLE,
  "x1968" DOUBLE,
  "x1969" DOUBLE,
  "x1970" DOUBLE,
  "x1971" DOUBLE,
  "x1972" DOUBLE,
  "x1973" DOUBLE,
  "x1974" DOUBLE,
  "x1975" DOUBLE,
  "x1976" DOUBLE,
  "x1977" DOUBLE,
  "x1978" DOUBLE,
  "x1979" DOUBLE,
  "x1980" DOUBLE,
  "x1981" DOUBLE,
  "x1982" DOUBLE,
  "x1983" DOUBLE,
  "x1984" DOUBLE,
  "x1985" DOUBLE,
  "x1986" DOUBLE,
  "x1987" DOUBLE,
  "x1988" DOUBLE,
  "x1989" DOUBLE,
  "x1990" DOUBLE,
  "x1991" DOUBLE,
  "x1992" DOUBLE,
  "x1993" DOUBLE,
  "x1994" DOUBLE,
  "x1995" DOUBLE,
  "x1996" DOUBLE,
  "x1997" DOUBLE,
  "x1998" DOUBLE,
  "x1999" DOUBLE,
  "x2000" DOUBLE,
  "x2001" DOUBLE,
  "x2002" DOUBLE,
  "x2003" DOUBLE,
  "x2004" DOUBLE,
  "na_1" VARCHAR  -- NA..1
);