analyze the data using pie chartshistogrambox and whiskerbar graphsscattered plo

analyze the data using pie chartshistogrambox and whiskerbar graphsscattered plots and comment. find the meanmedian and standard deviation and comment. find the correlation analysis of the data and comment. use any statistical package for this.
YearIndicator Name
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
Life expectancy at birth total (years)
77.82926829
78.07804878
78.4804878
78.63170732
78.93170732
79.23414634
79.63414634
79.93658534
80.23902439
80.4902439
80.84146341
81.04146341
81.29268293
81.39512195
CO2 emissions (metric tons per capita)
17.0116172
17.98153733
18.01715505
18.54058404
17.19979166
17.20903399
16.73412301
17.372691
17.4149047
17.35063038
18.01405569
18.2328628
18.07162335
18.56961909
Health expenditure per capita (current US$)
1574.279016
1767.721588
1766.049449
1597.620745
1754.984609
1728.461993
1644.80348
1858.490441
2339.219055
2888.976962
3157.754309
3330.212891
3956.468724
4229.033066
GDP growth (annual %)
3.939983314
4.181423944
3.972448021
4.585530281
5.15985438
3.951352155
2.071616393
3.903791221
3.272264035
4.155794748
2.959140943
3.081394099
3.564177973
3.832065489
Mobile cellular subscriptions (per 100 people)
12.37415015
21.77990754
24.71234651
26.25050454
33.32824218
44.67670207
57.43417616
64.62949928
72.31307069
81.97446237
90.27854017
95.25510508
100.662936
102.8176451
1 .Create appropriate plots (histogram pie-charts bar charts box and whiskers scatter plots) and comment on the general trends present.
2. Calculate the mean median standard deviation for each variable and comment.
3. Perform correlation analysis of each variable with life expectancy. Comment on the result and the implied relationship .i. e .just because the two variables are highly correlated does this imply a cause and effect relationship? Discuss.
Running Head: Data analysis drawn from World Bank.3
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