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R shiny app on interesting population findings
This project forked from ctapen/rshiny_population
R shiny app on interesting population findings
readme.txt Name: C. Tapen Version: 1 Date: 2018-07-23 Overview: -The future of population will shape how we create businesses, develop social services, grow our infrastructure, build institutions, provide health care, and the like. -Understanding the future of population will help equip us to be prepared for opportunities and challenges ahead! Findings: 1) Africa's population will take off. Asia's will start declining ~2055. 2) While life expectancy remains lower in Africa, further improvements will increase population. 3) Fertility rates will significantly shape future population (Africa's higher rates). 4) Illustration of future: There are more babies born in a year in Nigeria than in all of Europe. 5) Nearly all of the world's youth reside in developing nations. The world's population will age considerably. Contents: This dashboard shows different facets of population projections, often broken down by continent or subregion. Topics include: -total population -life expectancy -fertility rate -babies per year -age Data sources: -UN: http://www.un.org/en/development/desa/population/publications/database/index.shtml -files used: total population sex, population age sex, number of births, total fertility babies per woman -Gapminder: package in R -Reference file for ISO codes: https://github.com/lukes/ISO-3166-Countries-with-Regional-Codes/blob/master/all/all.csv Link to Shiny app: https://ctapen.shinyapps.io/Rshiny_population/
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