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Statistical Analytical
Programming
Social media Recruitment Analysis using
SAS
Felicita.C
13MBA1021
SAS programming Module
• Importing Data from the file
• Merging the Files for Analysis
• Frequency metrics
• Means , Factor Analysis
• Anova
• Correlation
• Regression
• Logistic Regression
• Chi square
• Graphs
• Plots
• Piecharts
• Block Charts
Social Media Recruitment Analysis
• Proc import datafile="D:sassasmain.xls"
• out=work.social1;
• run;
• proc import datafile="D:sasexp.xls"
• out=work.social2;
• run;
• Proc sql;
• create table work.media as
• select *
• from work.social1, work.social2
• where social1.exp=social2.exp;
• order by social1.sno;
• quit;
• ods pdf file= 'D:sasassign.pdf';
• startpage = 1;
• ods pdf text = "SAS ASSIGNMENT-13MBA1021";
• ods html file= 'D:sasassign.html';
Frequency analysis
proc freq data = work.media;
tables use;
run;
proc freq data= work.media;
tables emp;
run;
TITLE ' Vertical Bar Chart ';
PROC GCHART DATA=media;
VBAR emp;
RUN;
proc freq data=work.media;
tables imp;
run;
PROC GCHART DATA=media;
VBAR imp/LEVELS=7;
RUN;
exp
exp
Frequen
cy Percent
Cumulat
ive
Frequen
cy
Cumulat
ive
Percent
1 6 23.08 6 23.08
2 11 42.31 17 65.38
3 5 19.23 22 84.62
4 4 15.38 26 100.00
Graph coding for frequency analysis
Vertical and horizontal graphs charts
with discrete options
• TITLE 'Bar Chart with Discrete Option';
• PROC GCHART DATA=media;
• VBAR roi/ DISCRETE;
• RUN;
• TITLE 'Horizontal Bar Chart with Discrete';
• PROC GCHART DATA=media;
• HBAR reg/ DISCRETE;
• RUN;
Pie chart coding
TITLE 'Pie Chart with Discrete';
PROC GCHART DATA=media;
PIE roi/ DISCRETE VALUE=INSIDE
PERCENT=INSIDE SLICE=OUTSIDE;
RUN;
Frequency analysis for brand
recognition and competitive
advantage
Variable Label N Mean Std Dev Minimum
Maximu
m
ROI
brandreco
gnition
competitiv
eadvanta
ge
ROI
brandreco
gnition
competitiv
eadvanta
ge
26
26
26
3.423076
9
2.923076
9
3.269230
8
1.238485
4
1.354195
8
1.343359
7
1.000000
0
1.000000
0
1.000000
0
5.000000
0
5.000000
0
5.000000
0
The MEANS Procedure
The SAS System
Means and chisq analysis
proc means data =work.media;
var emp totemp;
run;
proc freq data =work.media;
tables exp * roi/chisq;
run;
proc freq data =work.media;
tables reg * roi/chisq;
run;
Correlation , regression and anova
proc corr data =work.media;
var exp roi reg compadv;
run;
proc reg data =work.media;
model roi reg compadv = exp;
run;
proc anova data =work.media;
class exp;
model imp emp totemp = exp;
run;
ods html close;
run;
ods pdf close;
quit;
Pearson Correlation Coefficients, N = 26
Prob > |r| under H0: Rho=0
ROI
brandrec
ognition
competiti
veadvant
age
ROI
ROI
1.00000 -0.00367
0.9858
0.00092
0.9964
brandrec
ognition
brandrec
ognition
-0.00367
0.9858
1.00000 -0.05412
0.7929
competiti
veadvant
age
competiti
veadvant
age
0.00092
0.9964
-0.05412
0.7929
1.00000
The CORR Procedure3 Variables:
ROI brandrecognition
competitiveadvantage
Simple Statistics
Variable N Mean Std Dev Sum
Minimu
m
Maximu
m Label
ROI 26 3.42308 1.23849
89.0000
0
1.00000 5.00000 ROI
brandre
cognitio
n
26 2.92308 1.35420
76.0000
0
1.00000 5.00000
brandre
cognitio
n
competi
tiveadv
antage
26 3.26923 1.34336
85.0000
0
1.00000 5.00000
competit
iveadva
ntage
Scatterplot for two different symbols
• TITLE 'Scatterplot - Two Variables';
• PROC GPLOT DATA=media;
• PLOT imp*emp ;
• RUN;
• SYMBOL1 V=circle C=black I=none;
• SYMBOL2 V=star C=red I=none;
• TITLE 'Scatterplot - Different Symbols';
• PROC GPLOT DATA=media;
• PLOT exp*emp=roi;
• RUN;
• QUIT;
• SYMBOL1 V=circle C=blue I=r;
TITLE 'Scatterplot - With Regression Line ';
PROC GPLOT DATA=media;
PLOT exp*roi ;
RUN;
QUIT;
THANK YOU

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Social Media Recruitment Analysis using SAS

  • 1. Statistical Analytical Programming Social media Recruitment Analysis using SAS Felicita.C 13MBA1021
  • 2. SAS programming Module • Importing Data from the file • Merging the Files for Analysis • Frequency metrics • Means , Factor Analysis • Anova • Correlation • Regression • Logistic Regression • Chi square • Graphs • Plots • Piecharts • Block Charts
  • 3. Social Media Recruitment Analysis • Proc import datafile="D:sassasmain.xls" • out=work.social1; • run; • proc import datafile="D:sasexp.xls" • out=work.social2; • run; • Proc sql; • create table work.media as • select * • from work.social1, work.social2 • where social1.exp=social2.exp; • order by social1.sno; • quit; • ods pdf file= 'D:sasassign.pdf'; • startpage = 1; • ods pdf text = "SAS ASSIGNMENT-13MBA1021"; • ods html file= 'D:sasassign.html';
  • 4. Frequency analysis proc freq data = work.media; tables use; run; proc freq data= work.media; tables emp; run; TITLE ' Vertical Bar Chart '; PROC GCHART DATA=media; VBAR emp; RUN; proc freq data=work.media; tables imp; run; PROC GCHART DATA=media; VBAR imp/LEVELS=7; RUN; exp exp Frequen cy Percent Cumulat ive Frequen cy Cumulat ive Percent 1 6 23.08 6 23.08 2 11 42.31 17 65.38 3 5 19.23 22 84.62 4 4 15.38 26 100.00
  • 5. Graph coding for frequency analysis
  • 6. Vertical and horizontal graphs charts with discrete options • TITLE 'Bar Chart with Discrete Option'; • PROC GCHART DATA=media; • VBAR roi/ DISCRETE; • RUN; • TITLE 'Horizontal Bar Chart with Discrete'; • PROC GCHART DATA=media; • HBAR reg/ DISCRETE; • RUN;
  • 7.
  • 8. Pie chart coding TITLE 'Pie Chart with Discrete'; PROC GCHART DATA=media; PIE roi/ DISCRETE VALUE=INSIDE PERCENT=INSIDE SLICE=OUTSIDE; RUN;
  • 9. Frequency analysis for brand recognition and competitive advantage Variable Label N Mean Std Dev Minimum Maximu m ROI brandreco gnition competitiv eadvanta ge ROI brandreco gnition competitiv eadvanta ge 26 26 26 3.423076 9 2.923076 9 3.269230 8 1.238485 4 1.354195 8 1.343359 7 1.000000 0 1.000000 0 1.000000 0 5.000000 0 5.000000 0 5.000000 0 The MEANS Procedure The SAS System
  • 10. Means and chisq analysis proc means data =work.media; var emp totemp; run; proc freq data =work.media; tables exp * roi/chisq; run; proc freq data =work.media; tables reg * roi/chisq; run;
  • 11. Correlation , regression and anova proc corr data =work.media; var exp roi reg compadv; run; proc reg data =work.media; model roi reg compadv = exp; run; proc anova data =work.media; class exp; model imp emp totemp = exp; run; ods html close; run; ods pdf close; quit; Pearson Correlation Coefficients, N = 26 Prob > |r| under H0: Rho=0 ROI brandrec ognition competiti veadvant age ROI ROI 1.00000 -0.00367 0.9858 0.00092 0.9964 brandrec ognition brandrec ognition -0.00367 0.9858 1.00000 -0.05412 0.7929 competiti veadvant age competiti veadvant age 0.00092 0.9964 -0.05412 0.7929 1.00000
  • 12. The CORR Procedure3 Variables: ROI brandrecognition competitiveadvantage Simple Statistics Variable N Mean Std Dev Sum Minimu m Maximu m Label ROI 26 3.42308 1.23849 89.0000 0 1.00000 5.00000 ROI brandre cognitio n 26 2.92308 1.35420 76.0000 0 1.00000 5.00000 brandre cognitio n competi tiveadv antage 26 3.26923 1.34336 85.0000 0 1.00000 5.00000 competit iveadva ntage
  • 13.
  • 14. Scatterplot for two different symbols • TITLE 'Scatterplot - Two Variables'; • PROC GPLOT DATA=media; • PLOT imp*emp ; • RUN; • SYMBOL1 V=circle C=black I=none; • SYMBOL2 V=star C=red I=none; • TITLE 'Scatterplot - Different Symbols'; • PROC GPLOT DATA=media; • PLOT exp*emp=roi; • RUN; • QUIT; • SYMBOL1 V=circle C=blue I=r;
  • 15.
  • 16. TITLE 'Scatterplot - With Regression Line '; PROC GPLOT DATA=media; PLOT exp*roi ; RUN; QUIT;