penn_world

The data was downloaded from <a href="https://www.rug.nl/ggdc/productivity/pwt/">https://www.rug.nl/ggdc/productivity/pwt/</a> and contains information about different economic measures of countries around the world. The dataset has been subset and variable names have been modified for exercise purposes.

datasets

Provides datasets used for analysis
and visualizations in the open-access Hello Data Science book.

Mine Dogucu

hellodatascience

Datasets from the Hello Data Science Book

penn_world function

A data frame with 12810 rows and 14 variables. Each row represents a country in a specific year.<dl>
 <dt>Country Code</dt>
<dd>3-letter ISO country code</dd> <dt>Country</dt>
<dd>country name</dd> <dt>Currency Unit</dt>
<dd>currency unit</dd> <dt>Year</dt>
<dd>year</dd> <dt>Real GDP Expenditure</dt>
<dd>expenditure-side real GDP at chained PPPs (in mil. 2017US$)</dd> <dt>Real GDP Output</dt>
<dd>output-side real GDP at chained PPPs (in mil. 2017US$)</dd> <dt>Population</dt>
<dd>population (in millions)</dd> <dt>Emp</dt>
<dd>number of persons engaged (in millions)</dd> <dt>Average Hours</dt>
<dd>average annual hours worked by persons engaged</dd> <dt>PL Consumption</dt>
<dd>price level of household consumption, price level of USA GDPo in 2017=1</dd> <dt>PL Capital Formation</dt>
<dd>price level of capital formation, price level of USA GDPo in 2017=1</dd> <dt>PL Gov</dt>
<dd>price level of government consumption, price level of USA GDPo in 2017=1</dd> <dt>PL Exports</dt>
<dd>price level of exports, price level of USA GDPo in 2017=1</dd> <dt>PL Imports</dt>
<dd>price level of imports, price level of USA GDPo in 2017=1</dd>
</dl>

Format

The data was downloaded from <a href='https://www.rug.nl/ggdc/productivity/pwt/'>https://www.rug.nl/ggdc/productivity/pwt/</a> and contains information about different economic measures of countries around the world. The dataset has been subset and variable names have been modified for exercise purposes.

Penn World Data — penn_world

A data frame with 12810 rows and 14 variables. Each row represents a country in a specific year.<dl>
 <dt>Country Code</dt>
<dd>3-letter ISO country code</dd>

 <dt>Country</dt>
<dd>country name</dd>

 <dt>Currency Unit</dt>
<dd>currency unit</dd>

 <dt>Year</dt>
<dd>year</dd>

 <dt>Real GDP Expenditure</dt>
<dd>expenditure-side real GDP at chained PPPs (in mil. 2017US$)</dd>

 <dt>Real GDP Output</dt>
<dd>output-side real GDP at chained PPPs (in mil. 2017US$)</dd>

 <dt>Population</dt>
<dd>population (in millions)</dd>

 <dt>Emp</dt>
<dd>number of persons engaged (in millions)</dd>

 <dt>Average Hours</dt>
<dd>average annual hours worked by persons engaged</dd>

 <dt>PL Consumption</dt>
<dd>price level of household consumption, price level of USA GDPo in 2017=1</dd>

 <dt>PL Capital Formation</dt>
<dd>price level of capital formation, price level of USA GDPo in 2017=1</dd>

 <dt>PL Gov</dt>
<dd>price level of government consumption, price level of USA GDPo in 2017=1</dd>

 <dt>PL Exports</dt>
<dd>price level of exports, price level of USA GDPo in 2017=1</dd>

 <dt>PL Imports</dt>
<dd>price level of imports, price level of USA GDPo in 2017=1</dd>


</dl>

penn_world: Penn World Data

Description

Usage

Arguments

Format