SlideShare a Scribd company logo
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

More Related Content

Viewers also liked

Friendship and mobility user movement in location based social networks
Friendship and mobility user movement in location based social networksFriendship and mobility user movement in location based social networks
Friendship and mobility user movement in location based social networks
Fread Mzee
 
A guide to realistic social media and measurement
A guide to realistic social media and measurementA guide to realistic social media and measurement
A guide to realistic social media and measurement
Adam Vincenzini
 
20140329 modern logging and data analysis pattern on .NET
20140329 modern logging and data analysis pattern on .NET20140329 modern logging and data analysis pattern on .NET
20140329 modern logging and data analysis pattern on .NET
Takayoshi Tanaka
 
Usage and consumption pattern of Social Media- Girish.Havale
Usage and consumption pattern of Social Media- Girish.HavaleUsage and consumption pattern of Social Media- Girish.Havale
Usage and consumption pattern of Social Media- Girish.Havale
Girish Havale
 
RSC: Mining and Modeling Temporal Activity in Social Media
RSC: Mining and Modeling Temporal Activity in Social MediaRSC: Mining and Modeling Temporal Activity in Social Media
RSC: Mining and Modeling Temporal Activity in Social Media
Alceu Ferraz Costa
 
BAS 250 Lecture 2
BAS 250 Lecture 2BAS 250 Lecture 2
BAS 250 Lecture 2
Wake Tech BAS
 
BAS 150 Lesson 1 Lecture
BAS 150 Lesson 1 LectureBAS 150 Lesson 1 Lecture
BAS 150 Lesson 1 Lecture
Wake Tech BAS
 
Picturing the Social: Talk for Transforming Digital Methods Winter School
Picturing the Social: Talk for Transforming Digital Methods Winter SchoolPicturing the Social: Talk for Transforming Digital Methods Winter School
Picturing the Social: Talk for Transforming Digital Methods Winter School
Farida Vis
 
Researching Social Media – Big Data and Social Media Analysis
Researching Social Media – Big Data and Social Media AnalysisResearching Social Media – Big Data and Social Media Analysis
Researching Social Media – Big Data and Social Media Analysis
Farida Vis
 
7 Hot Location-Based Apps You Should Know About
7 Hot Location-Based Apps You Should Know About7 Hot Location-Based Apps You Should Know About
7 Hot Location-Based Apps You Should Know About
Shauna Causey
 
Oracle Big Data Spatial & Graph 
Social Media Analysis - Case Study
Oracle Big Data Spatial & Graph 
Social Media Analysis - Case StudyOracle Big Data Spatial & Graph 
Social Media Analysis - Case Study
Oracle Big Data Spatial & Graph 
Social Media Analysis - Case Study
Mark Rittman
 
Human mobility,urban structure analysis,and spatial community detection from ...
Human mobility,urban structure analysis,and spatial community detection from ...Human mobility,urban structure analysis,and spatial community detection from ...
Human mobility,urban structure analysis,and spatial community detection from ...
Song Gao
 
SAS BASICS
SAS BASICSSAS BASICS
SAS BASICS
Bhuwanesh Rawat
 
Social media with big data analytics
Social media with big data analyticsSocial media with big data analytics
Social media with big data analytics
Universiti Technologi Malaysia (UTM)
 
5 Big Data Use Cases for 2013
5 Big Data Use Cases for 20135 Big Data Use Cases for 2013
5 Big Data Use Cases for 2013
Infochimps, a CSC Big Data Business
 
Social network analysis & Big Data - Telecommunications and more
Social network analysis & Big Data - Telecommunications and moreSocial network analysis & Big Data - Telecommunications and more
Social network analysis & Big Data - Telecommunications and moreWael Elrifai
 
Location Based services
Location Based servicesLocation Based services
Location Based services
Fraj Alshahibi
 
Digital, Social & Mobile in China in 2015
Digital, Social & Mobile in China in 2015Digital, Social & Mobile in China in 2015
Digital, Social & Mobile in China in 2015
We Are Social Singapore
 

Viewers also liked (18)

Friendship and mobility user movement in location based social networks
Friendship and mobility user movement in location based social networksFriendship and mobility user movement in location based social networks
Friendship and mobility user movement in location based social networks
 
A guide to realistic social media and measurement
A guide to realistic social media and measurementA guide to realistic social media and measurement
A guide to realistic social media and measurement
 
20140329 modern logging and data analysis pattern on .NET
20140329 modern logging and data analysis pattern on .NET20140329 modern logging and data analysis pattern on .NET
20140329 modern logging and data analysis pattern on .NET
 
Usage and consumption pattern of Social Media- Girish.Havale
Usage and consumption pattern of Social Media- Girish.HavaleUsage and consumption pattern of Social Media- Girish.Havale
Usage and consumption pattern of Social Media- Girish.Havale
 
RSC: Mining and Modeling Temporal Activity in Social Media
RSC: Mining and Modeling Temporal Activity in Social MediaRSC: Mining and Modeling Temporal Activity in Social Media
RSC: Mining and Modeling Temporal Activity in Social Media
 
BAS 250 Lecture 2
BAS 250 Lecture 2BAS 250 Lecture 2
BAS 250 Lecture 2
 
BAS 150 Lesson 1 Lecture
BAS 150 Lesson 1 LectureBAS 150 Lesson 1 Lecture
BAS 150 Lesson 1 Lecture
 
Picturing the Social: Talk for Transforming Digital Methods Winter School
Picturing the Social: Talk for Transforming Digital Methods Winter SchoolPicturing the Social: Talk for Transforming Digital Methods Winter School
Picturing the Social: Talk for Transforming Digital Methods Winter School
 
Researching Social Media – Big Data and Social Media Analysis
Researching Social Media – Big Data and Social Media AnalysisResearching Social Media – Big Data and Social Media Analysis
Researching Social Media – Big Data and Social Media Analysis
 
7 Hot Location-Based Apps You Should Know About
7 Hot Location-Based Apps You Should Know About7 Hot Location-Based Apps You Should Know About
7 Hot Location-Based Apps You Should Know About
 
Oracle Big Data Spatial & Graph 
Social Media Analysis - Case Study
Oracle Big Data Spatial & Graph 
Social Media Analysis - Case StudyOracle Big Data Spatial & Graph 
Social Media Analysis - Case Study
Oracle Big Data Spatial & Graph 
Social Media Analysis - Case Study
 
Human mobility,urban structure analysis,and spatial community detection from ...
Human mobility,urban structure analysis,and spatial community detection from ...Human mobility,urban structure analysis,and spatial community detection from ...
Human mobility,urban structure analysis,and spatial community detection from ...
 
SAS BASICS
SAS BASICSSAS BASICS
SAS BASICS
 
Social media with big data analytics
Social media with big data analyticsSocial media with big data analytics
Social media with big data analytics
 
5 Big Data Use Cases for 2013
5 Big Data Use Cases for 20135 Big Data Use Cases for 2013
5 Big Data Use Cases for 2013
 
Social network analysis & Big Data - Telecommunications and more
Social network analysis & Big Data - Telecommunications and moreSocial network analysis & Big Data - Telecommunications and more
Social network analysis & Big Data - Telecommunications and more
 
Location Based services
Location Based servicesLocation Based services
Location Based services
 
Digital, Social & Mobile in China in 2015
Digital, Social & Mobile in China in 2015Digital, Social & Mobile in China in 2015
Digital, Social & Mobile in China in 2015
 

Similar to Statistical analytical programming for social media analysis .

Best Practices for Building and Deploying Data Pipelines in Apache Spark
Best Practices for Building and Deploying Data Pipelines in Apache SparkBest Practices for Building and Deploying Data Pipelines in Apache Spark
Best Practices for Building and Deploying Data Pipelines in Apache Spark
Databricks
 
Data orchestration | 2020 | Alluxio | Gimel
Data orchestration | 2020 | Alluxio | GimelData orchestration | 2020 | Alluxio | Gimel
Data orchestration | 2020 | Alluxio | Gimel
Deepak Chandramouli
 
Unified Data Access with Gimel
Unified Data Access with GimelUnified Data Access with Gimel
Unified Data Access with Gimel
Alluxio, Inc.
 
Prog1 chap1 and chap 2
Prog1 chap1 and chap 2Prog1 chap1 and chap 2
Prog1 chap1 and chap 2rowensCap
 
Save Coding Time with Proc SQL.ppt
Save Coding Time with Proc SQL.pptSave Coding Time with Proc SQL.ppt
Save Coding Time with Proc SQL.ppt
ssuser660bb1
 
Boxoffice analysis using SAS
Boxoffice analysis using SASBoxoffice analysis using SAS
Boxoffice analysis using SASvignesh mohanmani
 
big-data-anallytics.pptx
big-data-anallytics.pptxbig-data-anallytics.pptx
big-data-anallytics.pptx
Sangamesh Kalyan
 
RDataMining slides-r-programming
RDataMining slides-r-programmingRDataMining slides-r-programming
RDataMining slides-r-programming
Yanchang Zhao
 
Real time streaming analytics
Real time streaming analyticsReal time streaming analytics
Real time streaming analytics
Anirudh
 
Box office analysis using SAS
Box office analysis using SAS Box office analysis using SAS
Box office analysis using SAS vignesh mohanmani
 
Building a Graph of all US Businesses Using Spark Technologies by Alexis Roos
Building a Graph of all US Businesses Using Spark Technologies by Alexis RoosBuilding a Graph of all US Businesses Using Spark Technologies by Alexis Roos
Building a Graph of all US Businesses Using Spark Technologies by Alexis Roos
Spark Summit
 
Sas Enterprise Guide A Revolutionary Tool
Sas Enterprise Guide A Revolutionary ToolSas Enterprise Guide A Revolutionary Tool
Sas Enterprise Guide A Revolutionary Toolsysseminar
 
Boxoffice analysis using SAS
Boxoffice analysis using SASBoxoffice analysis using SAS
Boxoffice analysis using SASvignesh mohanmani
 
Deploying Data Science Engines to Production
Deploying Data Science Engines to ProductionDeploying Data Science Engines to Production
Deploying Data Science Engines to Production
Mostafa Majidpour
 
DataStax | Data Science with DataStax Enterprise (Brian Hess) | Cassandra Sum...
DataStax | Data Science with DataStax Enterprise (Brian Hess) | Cassandra Sum...DataStax | Data Science with DataStax Enterprise (Brian Hess) | Cassandra Sum...
DataStax | Data Science with DataStax Enterprise (Brian Hess) | Cassandra Sum...
DataStax
 
Migrating from Closed to Open Source - Fonda Ingram & Ken Sanford
Migrating from Closed to Open Source - Fonda Ingram & Ken SanfordMigrating from Closed to Open Source - Fonda Ingram & Ken Sanford
Migrating from Closed to Open Source - Fonda Ingram & Ken Sanford
Sri Ambati
 
Graphs made easy with SAS ODS Graphics Designer (PAPER)
Graphs made easy with SAS ODS Graphics Designer (PAPER)Graphs made easy with SAS ODS Graphics Designer (PAPER)
Graphs made easy with SAS ODS Graphics Designer (PAPER)
Kevin Lee
 
Spark Machine Learning: Adding Your Own Algorithms and Tools with Holden Kara...
Spark Machine Learning: Adding Your Own Algorithms and Tools with Holden Kara...Spark Machine Learning: Adding Your Own Algorithms and Tools with Holden Kara...
Spark Machine Learning: Adding Your Own Algorithms and Tools with Holden Kara...
Databricks
 
Big Data Day LA 2015 - Scalable and High-Performance Analytics with Distribut...
Big Data Day LA 2015 - Scalable and High-Performance Analytics with Distribut...Big Data Day LA 2015 - Scalable and High-Performance Analytics with Distribut...
Big Data Day LA 2015 - Scalable and High-Performance Analytics with Distribut...
Data Con LA
 
Dynamic Data Visualization With Chartkick
Dynamic Data Visualization With ChartkickDynamic Data Visualization With Chartkick
Dynamic Data Visualization With Chartkick
Dax Murray
 

Similar to Statistical analytical programming for social media analysis . (20)

Best Practices for Building and Deploying Data Pipelines in Apache Spark
Best Practices for Building and Deploying Data Pipelines in Apache SparkBest Practices for Building and Deploying Data Pipelines in Apache Spark
Best Practices for Building and Deploying Data Pipelines in Apache Spark
 
Data orchestration | 2020 | Alluxio | Gimel
Data orchestration | 2020 | Alluxio | GimelData orchestration | 2020 | Alluxio | Gimel
Data orchestration | 2020 | Alluxio | Gimel
 
Unified Data Access with Gimel
Unified Data Access with GimelUnified Data Access with Gimel
Unified Data Access with Gimel
 
Prog1 chap1 and chap 2
Prog1 chap1 and chap 2Prog1 chap1 and chap 2
Prog1 chap1 and chap 2
 
Save Coding Time with Proc SQL.ppt
Save Coding Time with Proc SQL.pptSave Coding Time with Proc SQL.ppt
Save Coding Time with Proc SQL.ppt
 
Boxoffice analysis using SAS
Boxoffice analysis using SASBoxoffice analysis using SAS
Boxoffice analysis using SAS
 
big-data-anallytics.pptx
big-data-anallytics.pptxbig-data-anallytics.pptx
big-data-anallytics.pptx
 
RDataMining slides-r-programming
RDataMining slides-r-programmingRDataMining slides-r-programming
RDataMining slides-r-programming
 
Real time streaming analytics
Real time streaming analyticsReal time streaming analytics
Real time streaming analytics
 
Box office analysis using SAS
Box office analysis using SAS Box office analysis using SAS
Box office analysis using SAS
 
Building a Graph of all US Businesses Using Spark Technologies by Alexis Roos
Building a Graph of all US Businesses Using Spark Technologies by Alexis RoosBuilding a Graph of all US Businesses Using Spark Technologies by Alexis Roos
Building a Graph of all US Businesses Using Spark Technologies by Alexis Roos
 
Sas Enterprise Guide A Revolutionary Tool
Sas Enterprise Guide A Revolutionary ToolSas Enterprise Guide A Revolutionary Tool
Sas Enterprise Guide A Revolutionary Tool
 
Boxoffice analysis using SAS
Boxoffice analysis using SASBoxoffice analysis using SAS
Boxoffice analysis using SAS
 
Deploying Data Science Engines to Production
Deploying Data Science Engines to ProductionDeploying Data Science Engines to Production
Deploying Data Science Engines to Production
 
DataStax | Data Science with DataStax Enterprise (Brian Hess) | Cassandra Sum...
DataStax | Data Science with DataStax Enterprise (Brian Hess) | Cassandra Sum...DataStax | Data Science with DataStax Enterprise (Brian Hess) | Cassandra Sum...
DataStax | Data Science with DataStax Enterprise (Brian Hess) | Cassandra Sum...
 
Migrating from Closed to Open Source - Fonda Ingram & Ken Sanford
Migrating from Closed to Open Source - Fonda Ingram & Ken SanfordMigrating from Closed to Open Source - Fonda Ingram & Ken Sanford
Migrating from Closed to Open Source - Fonda Ingram & Ken Sanford
 
Graphs made easy with SAS ODS Graphics Designer (PAPER)
Graphs made easy with SAS ODS Graphics Designer (PAPER)Graphs made easy with SAS ODS Graphics Designer (PAPER)
Graphs made easy with SAS ODS Graphics Designer (PAPER)
 
Spark Machine Learning: Adding Your Own Algorithms and Tools with Holden Kara...
Spark Machine Learning: Adding Your Own Algorithms and Tools with Holden Kara...Spark Machine Learning: Adding Your Own Algorithms and Tools with Holden Kara...
Spark Machine Learning: Adding Your Own Algorithms and Tools with Holden Kara...
 
Big Data Day LA 2015 - Scalable and High-Performance Analytics with Distribut...
Big Data Day LA 2015 - Scalable and High-Performance Analytics with Distribut...Big Data Day LA 2015 - Scalable and High-Performance Analytics with Distribut...
Big Data Day LA 2015 - Scalable and High-Performance Analytics with Distribut...
 
Dynamic Data Visualization With Chartkick
Dynamic Data Visualization With ChartkickDynamic Data Visualization With Chartkick
Dynamic Data Visualization With Chartkick
 

Recently uploaded

一模一样(unh毕业证书)美国新罕布什尔大学毕业证学位证书案例原版一模一样
一模一样(unh毕业证书)美国新罕布什尔大学毕业证学位证书案例原版一模一样一模一样(unh毕业证书)美国新罕布什尔大学毕业证学位证书案例原版一模一样
一模一样(unh毕业证书)美国新罕布什尔大学毕业证学位证书案例原版一模一样
6budtn3l
 
原版定制(ucdavis毕业证书)加州大学戴维斯分校毕业证学位证书电子版原版一模一样
原版定制(ucdavis毕业证书)加州大学戴维斯分校毕业证学位证书电子版原版一模一样原版定制(ucdavis毕业证书)加州大学戴维斯分校毕业证学位证书电子版原版一模一样
原版定制(ucdavis毕业证书)加州大学戴维斯分校毕业证学位证书电子版原版一模一样
4y5yl5qy
 
Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...
Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...
Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...
SocialHRCamp
 
Periodical - Employee Spotlight Kathryn Hillenburg
Periodical - Employee Spotlight Kathryn HillenburgPeriodical - Employee Spotlight Kathryn Hillenburg
Periodical - Employee Spotlight Kathryn Hillenburg
marketing659039
 
Rally Webinar Recruitment Marketing for High Volume Hiring.pdf
Rally Webinar Recruitment Marketing for High Volume Hiring.pdfRally Webinar Recruitment Marketing for High Volume Hiring.pdf
Rally Webinar Recruitment Marketing for High Volume Hiring.pdf
Rally Recruitment Marketing
 
CI or FS Poly Cleared Job Fair Handbook | June 6
CI or FS Poly Cleared Job Fair Handbook | June 6CI or FS Poly Cleared Job Fair Handbook | June 6
CI or FS Poly Cleared Job Fair Handbook | June 6
ClearedJobs.Net
 
1比1仿制(csun毕业证书)加州州立大学北岭分校毕业证硕士文凭原版一模一样
1比1仿制(csun毕业证书)加州州立大学北岭分校毕业证硕士文凭原版一模一样1比1仿制(csun毕业证书)加州州立大学北岭分校毕业证硕士文凭原版一模一样
1比1仿制(csun毕业证书)加州州立大学北岭分校毕业证硕士文凭原版一模一样
4y5yl5qy
 
Becoming Relentlessly Human-Centred in an AI World - Erin Patchell - SocialHR...
Becoming Relentlessly Human-Centred in an AI World - Erin Patchell - SocialHR...Becoming Relentlessly Human-Centred in an AI World - Erin Patchell - SocialHR...
Becoming Relentlessly Human-Centred in an AI World - Erin Patchell - SocialHR...
SocialHRCamp
 

Recently uploaded (8)

一模一样(unh毕业证书)美国新罕布什尔大学毕业证学位证书案例原版一模一样
一模一样(unh毕业证书)美国新罕布什尔大学毕业证学位证书案例原版一模一样一模一样(unh毕业证书)美国新罕布什尔大学毕业证学位证书案例原版一模一样
一模一样(unh毕业证书)美国新罕布什尔大学毕业证学位证书案例原版一模一样
 
原版定制(ucdavis毕业证书)加州大学戴维斯分校毕业证学位证书电子版原版一模一样
原版定制(ucdavis毕业证书)加州大学戴维斯分校毕业证学位证书电子版原版一模一样原版定制(ucdavis毕业证书)加州大学戴维斯分校毕业证学位证书电子版原版一模一样
原版定制(ucdavis毕业证书)加州大学戴维斯分校毕业证学位证书电子版原版一模一样
 
Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...
Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...
Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...
 
Periodical - Employee Spotlight Kathryn Hillenburg
Periodical - Employee Spotlight Kathryn HillenburgPeriodical - Employee Spotlight Kathryn Hillenburg
Periodical - Employee Spotlight Kathryn Hillenburg
 
Rally Webinar Recruitment Marketing for High Volume Hiring.pdf
Rally Webinar Recruitment Marketing for High Volume Hiring.pdfRally Webinar Recruitment Marketing for High Volume Hiring.pdf
Rally Webinar Recruitment Marketing for High Volume Hiring.pdf
 
CI or FS Poly Cleared Job Fair Handbook | June 6
CI or FS Poly Cleared Job Fair Handbook | June 6CI or FS Poly Cleared Job Fair Handbook | June 6
CI or FS Poly Cleared Job Fair Handbook | June 6
 
1比1仿制(csun毕业证书)加州州立大学北岭分校毕业证硕士文凭原版一模一样
1比1仿制(csun毕业证书)加州州立大学北岭分校毕业证硕士文凭原版一模一样1比1仿制(csun毕业证书)加州州立大学北岭分校毕业证硕士文凭原版一模一样
1比1仿制(csun毕业证书)加州州立大学北岭分校毕业证硕士文凭原版一模一样
 
Becoming Relentlessly Human-Centred in an AI World - Erin Patchell - SocialHR...
Becoming Relentlessly Human-Centred in an AI World - Erin Patchell - SocialHR...Becoming Relentlessly Human-Centred in an AI World - Erin Patchell - SocialHR...
Becoming Relentlessly Human-Centred in an AI World - Erin Patchell - SocialHR...
 

Statistical analytical programming for social media analysis .

  • 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;