R: World Development Dataset

wlddev {collapse} | R Documentation

## World Development Dataset

### Description

This dataset contains 5 indicators from the World Bank's World Development Indicators (WDI) database: (1) GDP per capita, (2) Life expectancy at birth, (3) GINI index, (4) Net ODA and official aid received and (5) Population. The panel data is balanced and covers 216 present and historic countries from 1960-2020 (World Bank aggregates and regional entities are excluded).

Apart from the indicators the data contains a number of identifiers (character country name, factor ISO3 country code, World Bank region and income level, numeric year and decade) and 2 generated variables: A logical variable indicating whether the country is an OECD member, and a fictitious variable stating the date the data was recorded. These variables were added so that all common data-types are represented in this dataset, making it an ideal test-dataset for certain collapse functions.

### Usage

    data("wlddev")

### Format

A data frame with 13176 observations on the following 13 variables. All variables are labeled e.g. have a 'label' attribute.

`country`

  chr Country Name

`iso3c`

  fct Country Code

`date`

  date Date Recorded (Fictitious)

`year`

  int Year

`decade`

  int Decade

`region`

  fct World Bank Region

`income`

  fct World Bank Income Level

`OECD`

  log Is OECD Member Country?

`PCGDP`

  num GDP per capita (constant 2010 US$)

`LIFEEX`

  num Life expectancy at birth, total (years)

`GINI`

  num GINI index (World Bank estimate)

`ODA`

  num Net official development assistance and official aid received (constant 2018 US$)

`POP`

  num Population, total

### Source

https://data.worldbank.org/, accessed via the `WDI` package. The codes for the series are `c("NY.GDP.PCAP.KD", "SP.DYN.LE00.IN", "SI.POV.GINI", "DT.ODA.ALLD.KD", "SP.POP.TOTL")`.

### See Also

`GGDC10S`, Collapse Overview

### Examples

    data(wlddev)

    # Panel-summarizing the 5 series
    qsu(wlddev, pid = ~iso3c, cols = 9:13, vlabels = TRUE)

    # By Region
    qsu(wlddev, by = ~region, cols = 9:13, vlabels = TRUE)

    # Panel-summary by region
    qsu(wlddev, by = ~region, pid = ~iso3c, cols = 9:13, vlabels = TRUE)

    # Pairwise correlations: Ovarall
    print(pwcor(get_vars(wlddev, 9:13), N = TRUE, P = TRUE), show = "lower.tri")

    # Pairwise correlations: Between Countries
    print(pwcor(fmean(get_vars(wlddev, 9:13), wlddev$iso3c), N = TRUE, P = TRUE), show = "lower.tri")

    # Pairwise correlations: Within Countries
    print(pwcor(fwithin(get_vars(wlddev, 9:13), wlddev$iso3c), N = TRUE, P = TRUE), show = "lower.tri")

[Package collapse version 1.8.6 Index]