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wlddev

World Development Dataset

Description

This dataset contains 4 indicators from the World Bank's World Development Indicators (WDI) database: (1) GDP per capita, (2) Life expectancy at birth, (3) GINI index and (4) Net ODA received. The panel data is balanced and covers 216 present and historic countries from 1960-2018 (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 12744 observations on the following 12 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: num Year
decade: num 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$)
LIFEEX: num Life expectancy at birth, total (years)
GINI: num GINI index (World Bank estimate)
ODA: num Net ODA received (constant 2015 US$)

Source

https://data.worldbank.org/. Search vlabels(wlddev)[9:12] to find the right series.

Examples

data(wlddev)

# Panel-summarizing the 4 series
qsu(wlddev, pid = ~iso3c, cols = 9:12, vlabels = TRUE)

# By Region
qsu(wlddev, by = ~region, cols = 9:12, vlabels = TRUE)

# Panel-summary by region
qsu(wlddev, by = ~region, pid = ~iso3c, cols = 9:12, vlabels = TRUE)

# Pairwise correlations: Ovarall
print(pwcor(get_vars(wlddev, 9:12), N = TRUE, P = TRUE), show = "lower.tri")

# Pairwise correlations: Between Countries
print(pwcor(fmean(get_vars(wlddev, 9:12), wlddev$iso3c), N = TRUE, P = TRUE), show = "lower.tri")

# Pairwise correlations: Within Countries
print(pwcor(fwithin(get_vars(wlddev, 9:12), wlddev$iso3c), N = TRUE, P = TRUE), show = "lower.tri")

collapse

Advanced and Fast Data Transformation

v1.5.3

GPL (>= 2) | file LICENSE

Authors

Sebastian Krantz [aut, cre], Matt Dowle [ctb], Arun Srinivasan [ctb], Laurent Berge [ctb], Dirk Eddelbuettel [ctb], Josh Pasek [ctb], Kevin Tappe [ctb], R Core Team and contributors worldwide [ctb], Martyn Plummer [cph], 1999-2016 The R Core Team [cph]

Initial release

2021-03-05