25  fertility.csv

Human overpopulation is a growing concern and has been associated with depletion of Earth’s natural resources (water is a big one that ) and degredation of the environment. This, in turn, has social and economic consequences such as global tension over resources such as water and food, higher cost of living and higher unemployment rates. The data in fertility.csv were collected from several sources (e.g., World Bank) and are thought to correlate with fertility rates, a measure directly linked to population. The variables are:


25.0.1 Preview

Code
# Import Data
fertility = readr::read_csv(file = "https://raw.githubusercontent.com/zief0002/modeling/main/data/fertility.csv")

# View data
fertility
ABCDEFGHIJ0123456789
country
<chr>
region
<chr>
fertility_rate
<dbl>
educ_female
<dbl>
infant_mortality
<dbl>
contraceptive
<dbl>
gni_class
<chr>
AlbaniaEurope and Central Asia1.499.115.046Upper/Middle
AlgeriaMiddle East and North Africa2.785.917.257Upper/Middle
ArmeniaEurope and Central Asia1.3910.814.757Upper/Middle
AustriaEurope and Central Asia1.428.93.366Upper
AzerbaijanEurope and Central Asia1.9210.530.855Upper/Middle
Bahamas, TheLatin America and the Caribbean1.9711.113.945Upper
BangladeshSouth Asia2.504.633.162Low/Middle
BelgiumEurope and Central Asia1.6510.53.467Upper
BelizeLatin America and the Caribbean3.089.215.751Upper/Middle
BeninSub-Saharan Africa5.132.058.516Low


25.0.2 References

Roser, M. (2017). Fertility rate. Our world in data.

UNICEF. (2016). State of the world’s children 2016. United Nations Population Division’s World Contraceptive Use, household surveys including Demographic and Health Surveys and Multiple Indicator Cluster Surveys.

World Bank (2019). World Bank open data.