NOTE THAT

((This should be done by R studio !))

Please

a. Merge the two data files using R studio .

b. Read the data file after the merging then do any cleaning and validation.

c. After do all these, run Plots and Summary Statistics

Year	OilP
1980	35.52
1981	34
1982	32.38
1983	29.04
1984	28.2
1985	27.01
1986	13.53
1987	17.73
1988	14.24
1989	17.31
1990	22.26
1991	18.62
1992	18.44
1993	16.33
1994	15.53
1995	16.86
1996	20.29
1997	18.86
1998	12.28
1999	17.44
2000	27.6
2001	23.12
2002	24.36
2003	28.1
2004	36.05
2005	50.59
2006	61
2007	69.04
2008	94.1
2009	60.86
2010	77.38
2011	107.46
2012	109.45
2013	105.87
2014	96.29
2015	49.49

Year	Food exports (% of merchandise exports)	Ores and metals exports (% of merchandise exports)
1980	0.09638294	0.060083757
1981	0.094079554	0.024360528
1982	0.128489839	0.025668368
1983	..	..
1984	..	..
1985	0.259787311	0.116943755
1986	..	..
1987	..	..
1988	1.371078529	0.732151804
1989	1.374888969	0.834330299
1990	0.713126234	0.491007478
1991	0.526384845	0.242750346
1992	1.074388363	0.548851562
1993	0.982275388	0.429968062
1994	0.673955645	0.346686956
1995	0.810242733	0.567217625
1996	0.632336949	0.304958406
1997	..	..
1998	1.114818605	0.507089276
1999	0.930990348	0.262574488
2000	0.538501429	0.147164016
2001	0.558465111	0.201693533
2002	0.628539417	0.223275991
2003	0.835851768	0.182707717
2004	0.7405123	0.172800798
2005	0.620831971	0.137293785
2006	0.64203501	0.219532433
2007	0.838923226	0.283587719
2008	0.744029125	0.221986187
2009	1.407633083	0.232499732
2010	1.155876888	0.154654215
2011	0.898301922	0.122271232
2012	0.860627792	0.138455596
2013	0.878931429	0.403127249
2014	1.006265279	0.769034983
2015	1.798068624	1.307540253