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The Programme for International Student Assessment (PISA) is a study conducted by the Organisation for Economic Co-operation and Development (OECD) that evaluates education systems by measuring 15-year-old students’ performance in reading, mathematics, and science every three years.

Usage

pisa_data

Format

A data frame with 15,407 observations with 13 variables

country

Country name (character)

iso2c

2-letter ISO country code (character)

iso3c

3-letter ISO country code (character)

year

Calendar year representing the time index of the observation (integer)

LO.PISA.MAT

Observational values for the specified indicator code (numeric)

status

An empty variable meant to indicate the operational status of variables (character)

lastupdated

Timestamp that indicates the most recent update of the indicator date (character)

region

Geographical region variable (character)

capital

Name of the capital city of each country (character)

longitude

Geographic coordinate that measures the longitude of the city (character)

latitude

Geographic coordinate that measures the latitude of the city (character)

income

World Bank income classification variable (character)

lending

World Bank income classification variable (character)

Source

World Development Indicator, using the WDI R package

Examples

data(pisa_data)

head(pisa_data)
#>       country iso2c iso3c year LO.PISA.MAT status lastupdated     region
#> 1 Afghanistan    AF   AFG 2030          NA         2024-06-25 South Asia
#> 2 Afghanistan    AF   AFG 2029          NA         2024-06-25 South Asia
#> 3 Afghanistan    AF   AFG 2028          NA         2024-06-25 South Asia
#> 4 Afghanistan    AF   AFG 2027          NA         2024-06-25 South Asia
#> 5 Afghanistan    AF   AFG 2026          NA         2024-06-25 South Asia
#> 6 Afghanistan    AF   AFG 2025          NA         2024-06-25 South Asia
#>   capital longitude latitude     income lending
#> 1   Kabul   69.1761  34.5228 Low income     IDA
#> 2   Kabul   69.1761  34.5228 Low income     IDA
#> 3   Kabul   69.1761  34.5228 Low income     IDA
#> 4   Kabul   69.1761  34.5228 Low income     IDA
#> 5   Kabul   69.1761  34.5228 Low income     IDA
#> 6   Kabul   69.1761  34.5228 Low income     IDA