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Eurostat

Managing eurostat data with R

Begin

In this section we will examine Eurostat’s datasets. First, as an example we will compare goverment spending in research and development.

Load the required libraries:

RnD

Here we are going to examine the goverment pending on research and development. The table tipsst10 holds the corresponding data.

We can read the dataset by calling the get_eurostat function and we can store the results to a variable (here named rnd):

We can examine the column names of the table (data frame) rnd:

## [1] "sectperf" "unit"     "geo"      "time"     "values"

Or we examine the domain values of its columns:

## # A tibble: 1 x 1
##   sectperf
##   <fct>   
## 1 TOTAL
## # A tibble: 2 x 1
##   unit   
##   <fct>  
## 1 MIO_NAC
## 2 PC_GDP

We can filter the dataset, thus we can restrict it to specific rows:

## # A tibble: 18 x 5
##    sectperf unit   geo   time       values
##    <fct>    <fct>  <fct> <date>      <dbl>
##  1 TOTAL    PC_GDP EL    1995-01-01  0.42 
##  2 TOTAL    PC_GDP EL    1997-01-01  0.43 
##  3 TOTAL    PC_GDP EL    1999-01-01  0.570
##  4 TOTAL    PC_GDP EL    2001-01-01  0.56 
##  5 TOTAL    PC_GDP EL    2003-01-01  0.55 
##  6 TOTAL    PC_GDP EL    2004-01-01  0.53 
##  7 TOTAL    PC_GDP EL    2005-01-01  0.580
##  8 TOTAL    PC_GDP EL    2006-01-01  0.56 
##  9 TOTAL    PC_GDP EL    2007-01-01  0.580
## 10 TOTAL    PC_GDP EL    2008-01-01  0.66 
## 11 TOTAL    PC_GDP EL    2009-01-01  0.63 
## 12 TOTAL    PC_GDP EL    2010-01-01  0.6  
## 13 TOTAL    PC_GDP EL    2011-01-01  0.67 
## 14 TOTAL    PC_GDP EL    2012-01-01  0.7  
## 15 TOTAL    PC_GDP EL    2013-01-01  0.81 
## 16 TOTAL    PC_GDP EL    2014-01-01  0.83 
## 17 TOTAL    PC_GDP EL    2015-01-01  0.97 
## 18 TOTAL    PC_GDP EL    2016-01-01  1.01

Plot the time series data: