Merge pull request #74 from stat697/mgao10-stat697-patch-1

Update STAT697-01_s19-team-3_data_analysis_by_MG.sas

STAT697-01_s19-team-3_data_analysis_by_MG.sas

@@ -41,16 +41,16 @@ Followup Steps: Clear out any missing value.
 * output first five row of resulting sorted data to better visualize the results;
 
 proc sort 
-		data=country_analytic_file_raw (obs=5)
-		out = country_analystic_file_raw_Q1;
-	;
-	by 
-		descending adjusted_life_index;
+	data=country_analytic_file_raw (obs=5)
+	out = country_analystic_file_raw_Q1;
+    ;
+    by 
+	descending adjusted_life_index;
 run;
 
 proc report data=country_analystic_file_raw_Q1;
 	columns
-		Country
+	       	Country
 		adjusted_life_index
 	;
 run;
@@ -94,17 +94,17 @@ strong correleation between the two variables.;
 variable;
 
 proc sgplot 
-		data=country_analytic_file_raw;
-  		scatter x=Year_School_Female y=Estimated_gross_national_income_;
+	data=country_analytic_file_raw;
+  	scatter x=Year_School_Female y=Estimated_gross_national_income_;
 run;
 
 data new; set country_analytic_file_raw;
 
-   		numeric_var = input(Year_School_Female, best5.);
+   	numeric_var = input(Year_School_Female, best5.);
 
      where
 
-   	  numeric_var = input(Year_School_Female, best5.);
+   	numeric_var = input(Year_School_Female, best5.);
 
      where
 
@@ -170,10 +170,10 @@ Followup Steps: To make a boxplot of the data to see the distribution of data
 * To sort the data in descending order to find the max value;
 
 proc sort 
-		data=country_analytic_file_raw
-	;
-	by 
-		descending Population_in_severe_multidimens;
+	data=country_analytic_file_raw
+   ;
+   by 
+	descending Population_in_severe_multidimens;
 run;
 
 proc print;