Baselight

PISA Educ Outcomes

Unveiling the Economic Fabric of Education: Exploring PISA through Data

@kaggle.willianoliveiragibin_pisa_educ_outcomes

Economics And Education Dataset Csv
@kaggle.willianoliveiragibin_pisa_educ_outcomes.economics_and_education_dataset_csv

  • 46.84 KB
  • 394 rows
  • 20 columns
index_code

Index Code

expenditure_on_education_pct_gdp

Expenditure On Education Pct Gdp

mortality_rate_infant

Mortality Rate Infant

gini_index

Gini Index

gdp_per_capita_ppp

Gdp Per Capita Ppp

inflation_consumer_prices

Inflation Consumer Prices

intentional_homicides

Intentional Homicides

unemployment

Unemployment

gross_fixed_capital_formation

Gross Fixed Capital Formation

population_density

Population Density

suicide_mortality_rate

Suicide Mortality Rate

tax_revenue

Tax Revenue

taxes_on_income_profits_capital

Taxes On Income Profits Capital

alcohol_consumption_per_capita

Alcohol Consumption Per Capita

government_health_expenditure_pct_gdp

Government Health Expenditure Pct Gdp

urban_population_pct_total

Urban Population Pct Total

country

Country

time

Time

sex

Sex

rating

Rating

AUS-201553.155.198.097.2293.34.629.209.543.911.790150.836.672.165.921990.754.226.978.3936.05526.202.336.014.594.30031.001.125.964.880.30013.22.186.642.359.0836.489.343.285.454.43010.3903723.406.69685.701AUS2015BOY497
AUS-201553.155.198.097.2293.34.629.209.543.911.790150.836.672.165.921990.754.226.978.3936.05526.202.336.014.594.30031.001.125.964.880.30013.22.186.642.359.0836.489.343.285.454.43010.3903723.406.69685.701AUS2015GIRL491
AUS-201553.155.198.097.2293.34.629.209.543.911.790150.836.672.165.921990.754.226.978.3936.05526.202.336.014.594.30031.001.125.964.880.30013.22.186.642.359.0836.489.343.285.454.43010.3903723.406.69685.701AUS2015TOT494
AUT-2015545.658.016.204.834330.54.986.590.394.241.84089.656.333.526.032509.116.600.545.1485.80222.696.707.457.706.80010.473.459.767.329.1001626.826.167.415.542.70028.707.798.993.156.5001.219.174751.185.32257.715AUT2015BOY510
AUT-2015545.658.016.204.834330.54.986.590.394.241.84089.656.333.526.032509.116.600.545.1485.80222.696.707.457.706.80010.473.459.767.329.1001626.826.167.415.542.70028.707.798.993.156.5001.219.174751.185.32257.715AUT2015GIRL483
AUT-2015545.658.016.204.834330.54.986.590.394.241.84089.656.333.526.032509.116.600.545.1485.80222.696.707.457.706.80010.473.459.767.329.1001626.826.167.415.542.70028.707.798.993.156.5001.219.174751.185.32257.715AUT2015TOT497
CAN-200305.333.832.349.943.660.867.600275.856.321.360.112173.627.308.507.8967.5742.001.240.095.573.43035.294.975.567.698.20012.41.322.893.471.327.17050.348.114.846.650.3000659.055.66279.967CAN2003BOY541
CAN-200305.333.832.349.943.660.867.600275.856.321.360.112173.627.308.507.8967.5742.001.240.095.573.43035.294.975.567.698.20012.41.322.893.471.327.17050.348.114.846.650.3000659.055.66279.967CAN2003GIRL530
CAN-200305.333.832.349.943.660.867.600275.856.321.360.112173.627.308.507.8967.5742.001.240.095.573.43035.294.975.567.698.20012.41.322.893.471.327.17050.348.114.846.650.3000659.055.66279.967CAN2003TOT532
CAN-200605.234.13.811.941.319.583.970200.202.539.534.161186.893.669.521.0276.48422.885.203.137.298.9003.632.909.156.006.46011.213.348.220.669.342.1005.445.306.798.859.720064.866.99180.213CAN2006BOY534

CREATE TABLE economics_and_education_dataset_csv (
  "index_code" VARCHAR,
  "expenditure_on_education_pct_gdp" VARCHAR,
  "mortality_rate_infant" DOUBLE,
  "gini_index" DOUBLE,
  "gdp_per_capita_ppp" VARCHAR,
  "inflation_consumer_prices" VARCHAR,
  "intentional_homicides" VARCHAR,
  "unemployment" DOUBLE,
  "gross_fixed_capital_formation" VARCHAR,
  "population_density" VARCHAR,
  "suicide_mortality_rate" DOUBLE,
  "tax_revenue" VARCHAR,
  "taxes_on_income_profits_capital" VARCHAR,
  "alcohol_consumption_per_capita" VARCHAR,
  "government_health_expenditure_pct_gdp" VARCHAR,
  "urban_population_pct_total" DOUBLE,
  "country" VARCHAR,
  "time" BIGINT,
  "sex" VARCHAR,
  "rating" DOUBLE
);

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