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Colombian economics data and analysis: health, education, income, demographics, land use, violence, governance ...

Jupyter Notebook 10.56% Python 4.43% R 76.35% Makefile 8.66%

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colombia's Issues

GDP per capita not equal to GDP / population

Suppose we create a derived gdp-per-capital variable by dividing total gdp ('pib_total') by total population ('pobl_tot'):

> setwd('colombia')
> colombia <- read.csv('data/merged.csv')
> colombia$pib_pb_derived <- colombia$pib_total / colombia$pobl_tot
> summary( colombia[c('pib_pb_derived','pib_total', 'pobl_tot')])
 pib_pb_derived    pib_total            pobl_tot      
 Min.   :  0     Min.   :      912   Min.   :      0  
 1st Qu.:  4     1st Qu.:    32279   1st Qu.:   6665  
 Median :  6     Median :    70091   Median :  12464  
 Mean   :Inf     Mean   :   308860   Mean   :  37489  
 3rd Qu.:  8     3rd Qu.:   157566   3rd Qu.:  23897  
 Max.   :Inf     Max.   :105895416   Max.   :7776845  
 NA's   :14837   NA's   :14837       NA's   :1123     
>

The result has infinite values in it, suggesting there was nonzero gdp somewhere that had zero population.

Why is population bimodal?

There are a huge number of cities with population (pobl_tot) from 0 to 2 million. There are maybe 16 with populations between 6 and 8 million. There's nothing in between.

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