1. Boxoffice analysis
Vignesh.M
13MBA1076

2. Box office analysis
• proc import datafile="C:UsersAdministartorDownloadsboxoffice.xls"
out=work.distri;
• run;
• proc import datafile="C:UsersAdministartorDownloadsboxoffice2.xls"
out=work.scale;
• run;
• proc sql;
• create table work.distributors as
• select *
• from work.distri, work.scale
• where distri.Distributors = scale.Distributors
• order by distri.SNo;
• quit;

3. proc means data=work.distributors;
tables Distributors;
run;

5. Graph for correlation
proc corr data=work.distributors;
var Collections Numbers;
run;
proc freq data=work.distributors;
tables collections Numbers;
run;
PROC GCHART DATA=distributors;
VBAR collections Numbers/LEVELS=7;
RUN;
proc means data =work.distributors;
var collections Numbers;
run;

6. Box office vertical bar chart

7. Collection and numbers analysis

8. Plots on data
• TITLE 'Scatterplot - Two Variables';
• PROC GPLOT DATA=distributors;
• PLOT collections*numbers ;
• RUN;
• SYMBOL1 V=circle C=black I=none;
• SYMBOL2 V=star C=red I=none;

10. The LOGISTIC Procedure
Probability modeled is use=1.
Model Information
Data Set WORK.MODEL
Response Variable use use
Number of Response
Levels
2
Number of
Observations
26
Model binary logit
Optimization
Technique
Fisher's scoring

11. Regression and anova
• proc reg data =work.distributors;
• model boxoffice reg collections= numbers;
• run;
• proc anova data =work.distributors;
• class exp;
• model data emp tot = collections;
• run;