##Results here:
https://github.com/yesanton/EU_development_indicator_analysis/blob/master/posters.pdf
Data analysis of economic development of EU (especially for new countries)
First we can take a look at these parameters (features):
GDP (grows)
NY.GDP.PCAP.CD
CPI (should decrease) FP.CPI.TOTL.ZG
Unemployment (should decrease) SL.UEM.TOTL.NE.ZS
GINI (poverty) (should decrease) SI.POV.GINI
Trade (should increase) NE.TRD.GNFS.ZS
Health expenditure per capita (should grow) SH.XPD.PCAP
DATA used: https://www.kaggle.com/worldbank/world-development-indicators/scripts
Techniques to be used:
Descriptive statistics
Clustering
PCA analysis
Time series:
- Arima models,
- Intervention analysis
Regression
-- Our main result will be algorithm to calculate impact score, that is the measure of how the time event (EU joining) changed the economy