| corruptDF {causact} | R Documentation |
Dataframe of 174 observations where information on the human developmet index (HDI) and the corruption perceptions index (CPI) both exist. Each observation is a country.
Description
Dataframe of 174 observations where information on the human developmet index (HDI) and the corruption perceptions index (CPI) both exist. Each observation is a country.
Usage
corruptDF
Format
A data frame with 174 rows and 7 variables:
- country
country name
- region
region name as given with CPI rating
- countryCode
three letter abbreviation for country
- regionCode
four letter or less abbreviation for country
- population
2017 country population
- CPI2017
The Corruption Perceptions Index score for 2017: A country/territory’s score indicates the perceived level of public sector corruption on a scale of 0-100, where 0 means that a country is perceived as highly corrupt and a 100 means that a country is perceived as very clean.
- HDI2017
The human development index score for 2017: the Human Development Index (HDI) is a measure of achievement in the basic dimensions of human development across countries. It is an index made from a simple unweighted average of a nation’s longevity, education and income and is widely accepted in development discourse.
Source
https://www.transparency.org/en/cpi/2017 CPI data available from https://www.transparency.org/en/cpi/2017. Accessed Feb 24, 2024. Consumer Perception Index 2017 by Transparency International is licensed under CC-BY- ND 4.0.
https://hdr.undp.org/data-center/human-development-index#/indicies/HDI HDA data accessed on Oct 1, 2018.
https://data.worldbank.org/ Population data accessed on Oct 1, 2018.