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“ SAS CODING - Study on Customer’s Preferences
for High-Class Gated Community Residential Flats
in OMR, Chennai”
Akshaya Private Ltd.
Faculty Facilitator
Dr. James Daniel paul
VIT Business School, Chennai
Geetha. P
13MBA1022
INDUSTRY PROFILE
Residential Real Estate Industry has increase in growth in the
past few years owing to the following reasons:
 Continuous growth in population
 Migration towards urban areas
 Ample job opportunities
 Growing income levels
 Rise in nuclear families
 Easy availability of finance
Demand for houses increased especially in urban areas
COMPANY PROFILE
'Passion, Principles and Performance'
• Akshaya Private Ltd. is a construction and a real estate
company
• Founded in 1995 by T. Chitty Babu
• Both commercial and residential projects all over India
• More than 10 successful projects in OMR, viz. Akshaya
Today/January/Adair/unCompromise/Abov/Tango
• CREDAI partner/member
• IGBC certified
• Competitors : Pacifica Aurum, TVH, Appasamy Real Estates,
Radiance Shine , Hiranandhini, Ceebros, Adorit etc
OBJECTIVES
 To find out customer preference for the key attributes with reference
to the buying decisions of high class gated community residential
flats.
 To study the set of factors that a consumer takes into consideration
while making a decision of buying a home in OMR, Chennai.
 To find out buying preferences of the consumers with respect to
 location
 Prize
 size
 Amenities
 Brand preference of the property
FACTORS INFLUENCING BUYING DECISION OF THE
PROPERTY
PURCHASE OF
HOME
Location
Cost
Facilities
Growth
Rate
Proximity
to Work
Place
privacy
Amenities
Exteriors
Interiors
Neighbor
hood
Timely
possession
Green
Environ
ment
FACTORS INFLUENCING BUYING
DECISION OF THE PROPERTY
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
MEAN
7.10 FACTORS INFLUENCING BUYING DECISION OF THE PROPERTY
Location / Place
Cost/Price
Facilities/Product
Growth Rate/ Promotion
Proximity to Work Place
Privacy
Amenities
Ideal Ticket size of the Flat
Day Lightning Provision/NaturalLight
Exteriors
Interiors
Social Class of Neighbourhood
Timely Possession of the Property
Green Environment
SAS CODING-Sampling for
Akshaya Builders
• Import two unequal excel files with a common field
• Joining the two unequal files
• Frequency table
• Chi-square
• Descriptive Statistics
• ‘t’ test
• Correlation
• Regression
• Logistic Regression
• Anova
• Factor Analysis
SAS CODING
Importing Multiple unequal excel files with a common field
/* Datastep Start */
Proc import datafile = "C:UsersGEELUKEDesktop
GeembaInputfilesAkshayp1.xls"
out=work.Akshayp1 replace;
sheet="Income";
range="a1:b121";
getnames=yes;
Run;
Proc import datafile = "C:UsersGEELUKEDesktop
GeembaInputfilesAkshayp2.xls"
out=work.Akshayp2 replace;
sheet="Factors";
range="a1:o121";
getnames=yes;
Run;
SAS CODING
Joining Multiple unequal files
Proc sql;
create table work.AkshayOMR as
select *
from work.Akshayp1, work.Akshayp2,
work.Akshayp3, work.Akshayp4, work.Akshayp5,
work.Akshayp6, work.Akshayp7
where Akshayp1.Sno= Akshayp2.Sno =
Akshayp3.Sno = Akshayp4.Sno = Akshayp5.Sno =
Akshayp6.Sno = Akshayp7.Sno
order by Akshayp1.Sno;
quit;
Note: AkshayOMR is the combinations(join) of all
files.
SAS CODING
Frequency table
• /*frequency*/
• Proc freq
data=work.Akshayp2;
tables Loc Cost Facilities
GrowthRate
ProximitytoWorkPlace
Privacy Amenities
FlatSize LightProv
Exteriors Interiors
SocClassNeighbr
PossesnTime
GreenEnv;
• run;
SAS CODING
Chi-square
/*Chisq*/
Proc freq data=work.AkshayOMR;
tables Budget*BHKType /Chisq;
run;
SAS CODING
Descriptive Statistics
/* Mean values */
Proc means data =work.Akshayp2;
var Loc Cost Facilities GrowthRate
ProximitytoWorkPlce Privacy Amenities
FlatSize LightProv Exteriors Interiors
SocClassNeighbr PossesnTime
GreenEnv;
run;
SAS CODING
‘t’ test
/*ttest*/
Proc ttest data=work.AkshayOMR;
var Budget;
var Loc Cost Facilities GrowthRate ProximitytoWorkPlce Privacy Amenities FlatSize
LightProv Exteriors Interiors SocClassNeighbr PossesnTime GreenEnv;
run;
SAS CODING
Correlation
/*correlation*/
Proc corr data=work.AkshayOMR;
var Budget;
Var BHKType;
/*var Loc Cost Facilities GrowthRate ProximitytoWorkPlce Privacy Amenities FlatSize
LightProv Exteriors Interiors SocClassNeighbr PossesnTime GreenEnv;
*/
run;
SAS CODING
Regression
/*regression*/
Proc reg data=work.AkshayOMR;
model Budget=BHKType;
run;
quit;
SAS CODING
Logistic Regression
/*Logistic proc*/
Proc logistic data=work.AkshayOMR;
model Budget=BHKType;
run;
SAS CODING
Creating Bar charts for Factors(Cost Vs Amenities)
THANK YOU
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SAS Research - A Study on Customer’s Preferences for High-Class Gated Community Residential Flats in OMR

  • 1. “ SAS CODING - Study on Customer’s Preferences for High-Class Gated Community Residential Flats in OMR, Chennai” Akshaya Private Ltd. Faculty Facilitator Dr. James Daniel paul VIT Business School, Chennai Geetha. P 13MBA1022
  • 2. INDUSTRY PROFILE Residential Real Estate Industry has increase in growth in the past few years owing to the following reasons:  Continuous growth in population  Migration towards urban areas  Ample job opportunities  Growing income levels  Rise in nuclear families  Easy availability of finance Demand for houses increased especially in urban areas
  • 4. • Akshaya Private Ltd. is a construction and a real estate company • Founded in 1995 by T. Chitty Babu • Both commercial and residential projects all over India • More than 10 successful projects in OMR, viz. Akshaya Today/January/Adair/unCompromise/Abov/Tango • CREDAI partner/member • IGBC certified • Competitors : Pacifica Aurum, TVH, Appasamy Real Estates, Radiance Shine , Hiranandhini, Ceebros, Adorit etc
  • 5. OBJECTIVES  To find out customer preference for the key attributes with reference to the buying decisions of high class gated community residential flats.  To study the set of factors that a consumer takes into consideration while making a decision of buying a home in OMR, Chennai.  To find out buying preferences of the consumers with respect to  location  Prize  size  Amenities  Brand preference of the property
  • 6. FACTORS INFLUENCING BUYING DECISION OF THE PROPERTY PURCHASE OF HOME Location Cost Facilities Growth Rate Proximity to Work Place privacy Amenities Exteriors Interiors Neighbor hood Timely possession Green Environ ment
  • 7. FACTORS INFLUENCING BUYING DECISION OF THE PROPERTY 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 MEAN 7.10 FACTORS INFLUENCING BUYING DECISION OF THE PROPERTY Location / Place Cost/Price Facilities/Product Growth Rate/ Promotion Proximity to Work Place Privacy Amenities Ideal Ticket size of the Flat Day Lightning Provision/NaturalLight Exteriors Interiors Social Class of Neighbourhood Timely Possession of the Property Green Environment
  • 8. SAS CODING-Sampling for Akshaya Builders • Import two unequal excel files with a common field • Joining the two unequal files • Frequency table • Chi-square • Descriptive Statistics • ‘t’ test • Correlation • Regression • Logistic Regression • Anova • Factor Analysis
  • 9. SAS CODING Importing Multiple unequal excel files with a common field /* Datastep Start */ Proc import datafile = "C:UsersGEELUKEDesktop GeembaInputfilesAkshayp1.xls" out=work.Akshayp1 replace; sheet="Income"; range="a1:b121"; getnames=yes; Run; Proc import datafile = "C:UsersGEELUKEDesktop GeembaInputfilesAkshayp2.xls" out=work.Akshayp2 replace; sheet="Factors"; range="a1:o121"; getnames=yes; Run;
  • 10. SAS CODING Joining Multiple unequal files Proc sql; create table work.AkshayOMR as select * from work.Akshayp1, work.Akshayp2, work.Akshayp3, work.Akshayp4, work.Akshayp5, work.Akshayp6, work.Akshayp7 where Akshayp1.Sno= Akshayp2.Sno = Akshayp3.Sno = Akshayp4.Sno = Akshayp5.Sno = Akshayp6.Sno = Akshayp7.Sno order by Akshayp1.Sno; quit; Note: AkshayOMR is the combinations(join) of all files.
  • 11. SAS CODING Frequency table • /*frequency*/ • Proc freq data=work.Akshayp2; tables Loc Cost Facilities GrowthRate ProximitytoWorkPlace Privacy Amenities FlatSize LightProv Exteriors Interiors SocClassNeighbr PossesnTime GreenEnv; • run;
  • 12. SAS CODING Chi-square /*Chisq*/ Proc freq data=work.AkshayOMR; tables Budget*BHKType /Chisq; run;
  • 13. SAS CODING Descriptive Statistics /* Mean values */ Proc means data =work.Akshayp2; var Loc Cost Facilities GrowthRate ProximitytoWorkPlce Privacy Amenities FlatSize LightProv Exteriors Interiors SocClassNeighbr PossesnTime GreenEnv; run;
  • 14. SAS CODING ‘t’ test /*ttest*/ Proc ttest data=work.AkshayOMR; var Budget; var Loc Cost Facilities GrowthRate ProximitytoWorkPlce Privacy Amenities FlatSize LightProv Exteriors Interiors SocClassNeighbr PossesnTime GreenEnv; run;
  • 15. SAS CODING Correlation /*correlation*/ Proc corr data=work.AkshayOMR; var Budget; Var BHKType; /*var Loc Cost Facilities GrowthRate ProximitytoWorkPlce Privacy Amenities FlatSize LightProv Exteriors Interiors SocClassNeighbr PossesnTime GreenEnv; */ run;
  • 16. SAS CODING Regression /*regression*/ Proc reg data=work.AkshayOMR; model Budget=BHKType; run; quit;
  • 17. SAS CODING Logistic Regression /*Logistic proc*/ Proc logistic data=work.AkshayOMR; model Budget=BHKType; run;
  • 18. SAS CODING Creating Bar charts for Factors(Cost Vs Amenities)

Editor's Notes