Spanish Population Pitch

Angie Felipe
3/6/2018

Introduction

This presentation is part of Final Project in Developing Data Products JHU course from Coursera.

Here are the rest of the links to have a complete vision of the project.

Executive Summary

Resident Spanish Population by age and sex has evolve greatly from 1971 to 2017. This 47 years show a transiction from a pyramidal shape in 1971 to a cask shape since the 80's of last century.

To easily visualize this constrictive path I have develope a shyni app that presents the Resident Spanish Population by age and sex for the selected year in the dataset period (1971-2017).

The dataset used is as follows

  X edad    sexo year poblacion
1 1    0 Hombres 2017    210606
2 2    0 Mujeres 2017    199294
3 3    1 Hombres 2017    218042
4 4    1 Mujeres 2017    205462
5 5    2 Hombres 2017    223030
6 6    2 Mujeres 2017    209113

Main graph code

n<-1971; pob<-pobEsp[pobEsp$year==n,c(1,2,4)]
ggplot(data=pob) +
        geom_bar(aes(edad,poblacion,fill=sexo), stat="identity",subset(pob,pob$sexo=="Male")) +
        geom_bar(aes(edad,-poblacion,fill=sexo), stat = "identity",subset(pob,pob$sexo=="Female")) +
        scale_y_continuous(labels=abs) +
        scale_x_continuous(breaks=seq(0,100,10),
                           labels=seq(0,100,10)) +
        labs(title="Spanish population pyramid by age and sex", 
             subtitle=paste0("year: ",n),
             caption = "data from INE",
             x = "Age",
             y = "Resident Population") +
        coord_flip()

1971 vs 2017

plot of chunk 1971

plot of chunk 2017