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StatViz_INE_2020_Mortality

Code and Description for Visualizations for the Master in Computational Biology Statistic Data Analysis and Visualization course in 2020 Spain Mortality INE datasets(2022)

Authors : Lucía Martín Fernandez, Ana Solbas Casajús, Ángela Gómez Sacristán and Natalia García Sánchez

Data corresponds to the following datasets and come from the following corresponding sources:

Filename Description Used in code Source
Provincias_datos.csv Mortality rate in Spanish provinces (2020) - manually preprocessed BarplotsINEDeaths.Rmd, mortalityRatePerYear.Rmd, Spain_maps.Rmdlinks datos.gob.es
crudeMortality.csv Crude mortality rate (per year) BarplotsINEDeaths.Rmd, mortalityRatePerYear.Rmd, Spain_maps.Rmd links INE
mortalityRate.csv Mortality rate per year, age and sex mortalityRatePerYear.Rmd links
causas_muerte.csv Death causes from 2010 to 2020 mortalityRatePerYear.Rmd links INE
ccaa_provincia.csv File mapping Autonomous Community to Province - manually preprocessed BarplotsINEDeaths.Rmd links INE
CCAA_DR_Mortality_Population.csv Crude and per 100,000 Mortality rates per Autonomous Community in 2020 Spain_maps.Rmdlink crafted in BarplotsINEDeaths.Rmd

In addition, there are three R markdown files that have been used to generate the visualizations for the assignment.

  • BarplotsINEDeaths.Rmd: script used to generate the barplot and boxplots charts.
  • Spain_maps.Rmd: script used to generate the Spain map plots containing information about the 2020 death rates by province and Autonomous Community.
  • mortalityRatePerYear.Rmd: script used to generate the time series plots for death rate and life expectancy in Spain as well as the death rate per age and sex in 2020 barplot.

Dependencies : mapSpain, reshape2, ggplot2, sf, dplyr, tidyr, tidyverse should be preinstalled in an R environment