Let's see the list of countries in the World Bank database using the following code:
countries<-wb_cachelist$countries
Although the list is large, some countries belong to unions of several countries, such as the Arab World or the European Union. We will need to make a selection of countries.
Let's look at a list of the available indicators, as follows:
indicators<-wb_cachelist$indicators
The list of indicators is even bigger (there are more than 16,000 entries), but we will select the most important ones, as shown in the following snippet. These are obtained using the rating methodology guidelines that are provided by the main credit rating agencies:
relevant_indicators<-c('NYGDPMKTPKDZ','FB.BNK.CAPA.ZS','GFDD.OI.01','GFDD.EI.07','GFDD.SI.04','GFDD.OI.02','GFDD.EI.02','FD.RES.LIQU.AS.ZS','FB.AST.NPER.ZS','GFDD.SI.05','GFDD.EI.05','GFDD.EI.09','GFDD.EI.06','GFDD.EI.10','GFDD.SI.01','FM.LBL.BMNY.GD.ZS','FM.LBL.BMNY.ZG','FS.AST.CGOV.GD.ZS','CC.EST','GFDD.EI.08','BN.CAB.XOKA.GD.ZS','IC.CRD.INFO.XQ','FS.AST.DOMS.GD.ZS','NE.EXP.GNFS.KD.ZG','NE.RSB.GNFS.ZS','GFDD.DI.08','NY.GDP.MKTP.KD.ZG','NY.GDP.PCAP.CD','NY.GDP.PCAP.KD.ZG','NE.CON.GOVT.ZS','NE.CON.GOVT.KD.ZG','GE.EST','NY.GDS.TOTL.ZS','NE.GDI.FTOT.ZS','NE.GDI.FTOT.KD.ZG','NE.CON.PRVT.KD.ZG','NE.CON.PRVT.PC.KD.ZG','NE.IMP.GNFS.KD.ZG','NV.IND.TOTL.ZS','NV.IND.TOTL.KD.ZG','FP.CPI.TOTL.ZG','FR.INR.LNDP','CM.MKT.LCAP.GD.ZS','PV.EST','SP.POP.GROW','GFDD.SI.07','REER','RQ.EST','RL.EST','NV.SRV.TETC.ZS','NV.SRV.TETC.KD.ZG','DT.DOD.DSTC.ZS','DT.DOD.DSTC.IR.ZS','GFDD.OM.02','IC.LGL.CRED.XQ','TOTRESV','SL.UEM.TOTL.ZS','SL.UEM.1524.ZS','VA.EST','SP.POP.TOTL') ...
