Wednesday, 27 August 2025

272.FUTURISTIC GANESH MANDAPS ANALYSIS USING PROC PRINT | PROC MEANS | PROC FREQ | PROC SQL | PROC SORT | PROC TRANSPOSE | PROC REPORT | PROC SGPLOT

FUTURISTIC GANESH MANDAPS ANALYSIS USING PROC PRINT | PROC MEANS | PROC FREQ | PROC SQL | PROC SORT | PROC TRANSPOSE | PROC REPORT | PROC SGPLOT 

/*Creating A Dataset Of Futuristic Mandap In India*/

Step 1: Create futuristic_mandaps dataset 

Options Nocenter;

data futuristic_mandaps;

  length MandapType $15 Location $20 SpecialFeatures $100;

  input MandapType $ Location AttendanceEstimate EnergyUsed InteractionCount

        WeatherImpactScore TechCost VisitorSatisfaction EnvironmentalFootprint

        SocialMediaEngagement CrowdDensityIndex SpecialFeatures $100.;

  datalines;

Virtual Mumbai 7000 500 6000 2 200000 9 2 10000 8 "Immersive 3D VR Storytelling"

Solar Jaipur 3000 1500 0 1 350000 8 1 8000 5 "Solar Powered Lighting and Light Show"

Floating Varanasi 2500 100 0 5 100000 7 3 6000 4 "River Floating Mandap on Ganges"

Drone Bengaluru 1500 300 1200 3 400000 8 2 4000 6 "Drone-Painted Ceiling Artwork"

AI Hyderabad 4000 450 5000 2 250000 9 2 7000 7 "AI Guides and Meditation Suggestions"

BioLum Kerala 1000 200 0 4 300000 10 1 5000 3 "BioLuminescent Plants Glow at Night"

Hologram Delhi 8000 600 0 2 500000 7 1 9000 9 "Life Sized Hologram Projection"

Sandstorm Kutch 1200 350 0 8 150000 8 4 2000 4 "Sandstorm Resistant Materials"

Soundscape Assam 1800 250 4000 3 300000 9 2 4500 6 "Surround Sound Interactive Audio"

Kinetic Chennai 2000 400 2000 3 320000 8 3 3500 5 "Mechanical Moving Sculptures"

;

run;

proc print;run;

Output:

ObsMandapTypeLocationSpecialFeaturesAttendanceEstimateEnergyUsedInteractionCountWeatherImpactScoreTechCostVisitorSatisfactionEnvironmentalFootprintSocialMediaEngagementCrowdDensityIndex
1VirtualMumbaiSolar Jaipur 3000 1500 0 1 350000 8 1 8000 5 "Solar Powered Lighting and Light Show"70005006000220000092100008
2FloatingVaranasi"River Floating Mandap on Ganges"2500100051000007360004
3DroneBengaluru"Drone-Painted Ceiling Artwork"1500300120034000008240006
4AIHyderabad"AI Guides and Meditation Suggestions"4000450500022500009270007
5BioLumKerala"BioLuminescent Plants Glow at Night"10002000430000010150003
6HologramDelhi"Life Sized Hologram Projection"8000600025000007190009
7SandstormKutch"Sandstorm Resistant Materials"1200350081500008420004
8SoundscapeAssam"Surround Sound Interactive Audio"1800250400033000009245006
9KineticChennai"Mechanical Moving Sculptures"2000400200033200008335005


Step 2: Analyze the environmental footprint by Mandap Type 

proc means data=futuristic_mandaps mean median min max;

  var EnvironmentalFootprint;

  class MandapType;

  title "Environmental Footprint Statistics by Mandap Type";

run;

Output:

Environmental Footprint Statistics by Mandap Type

The MEANS Procedure

Analysis Variable : EnvironmentalFootprint
MandapTypeN ObsMeanMedianMinimumMaximum
AI12.00000002.00000002.00000002.0000000
BioLum11.00000001.00000001.00000001.0000000
Drone12.00000002.00000002.00000002.0000000
Floating13.00000003.00000003.00000003.0000000
Hologram11.00000001.00000001.00000001.0000000
Kinetic13.00000003.00000003.00000003.0000000
Sandstorm14.00000004.00000004.00000004.0000000
Soundscape12.00000002.00000002.00000002.0000000
Virtual12.00000002.00000002.00000002.0000000

Step 3: Summary of visitor satisfaction and social media engagement 

proc sql;

  select MandapType, avg(VisitorSatisfaction) as AvgSatisfaction, sum(SocialMediaEngagement) as TotalEngagement

  from futuristic_mandaps

  group by MandapType

  order by TotalEngagement desc;

quit;

Output:

MandapTypeAvgSatisfactionTotalEngagement
Virtual910000
Hologram79000
AI97000
Floating76000
BioLum105000
Soundscape94500
Drone84000
Kinetic83500
Sandstorm82000

Step 4: Identify most energy efficient mandaps 

proc sort data=futuristic_mandaps out=energy_efficient;

  by EnergyUsed;

run;

proc print data=energy_efficient (obs=3);

  title "Top 3 Most Energy Efficient Futuristic Mandaps";

run;

Output:

Top 3 Most Energy Efficient Futuristic Mandaps

ObsMandapTypeLocationSpecialFeaturesAttendanceEstimateEnergyUsedInteractionCountWeatherImpactScoreTechCostVisitorSatisfactionEnvironmentalFootprintSocialMediaEngagementCrowdDensityIndex
1FloatingVaranasi"River Floating Mandap on Ganges"2500100051000007360004
2BioLumKerala"BioLuminescent Plants Glow at Night"10002000430000010150003
3SoundscapeAssam"Surround Sound Interactive Audio"1800250400033000009245006

Step 5: Macro to dynamically analyze waste and safety incidents by Mandap Type

%macro waste_safety_report;

  proc means data=futuristic_mandaps mean sum max;

    var EnvironmentalFootprint VisitorSatisfaction;

    class MandapType;

    title "Environmental Footprint and Visitor Satisfaction Summary by Mandap Type";

  run;

%mend;


%waste_safety_report;

Output:

Environmental Footprint and Visitor Satisfaction Summary by Mandap Type

The MEANS Procedure

MandapTypeN ObsVariableMeanSumMaximum
AI1
EnvironmentalFootprint
VisitorSatisfaction
2.0000000
9.0000000
2.0000000
9.0000000
2.0000000
9.0000000
BioLum1
EnvironmentalFootprint
VisitorSatisfaction
1.0000000
10.0000000
1.0000000
10.0000000
1.0000000
10.0000000
Drone1
EnvironmentalFootprint
VisitorSatisfaction
2.0000000
8.0000000
2.0000000
8.0000000
2.0000000
8.0000000
Floating1
EnvironmentalFootprint
VisitorSatisfaction
3.0000000
7.0000000
3.0000000
7.0000000
3.0000000
7.0000000
Hologram1
EnvironmentalFootprint
VisitorSatisfaction
1.0000000
7.0000000
1.0000000
7.0000000
1.0000000
7.0000000
Kinetic1
EnvironmentalFootprint
VisitorSatisfaction
3.0000000
8.0000000
3.0000000
8.0000000
3.0000000
8.0000000
Sandstorm1
EnvironmentalFootprint
VisitorSatisfaction
4.0000000
8.0000000
4.0000000
8.0000000
4.0000000
8.0000000
Soundscape1
EnvironmentalFootprint
VisitorSatisfaction
2.0000000
9.0000000
2.0000000
9.0000000
2.0000000
9.0000000
Virtual1
EnvironmentalFootprint
VisitorSatisfaction
2.0000000
9.0000000
2.0000000
9.0000000
2.0000000
9.0000000

Step 6: PROC SQL for Mandap Types with highest social media reach and visitor satisfaction

proc sql;

  select MandapType, avg(VisitorSatisfaction) as AvgSatisfaction,

         sum(SocialMediaEngagement) as TotalReach

  from futuristic_mandaps

  group by MandapType

  having AvgSatisfaction > 8

  order by TotalReach desc;

quit;

Output:

MandapTypeAvgSatisfactionTotalReach
Virtual910000
AI97000
BioLum105000
Soundscape94500

Step 7: Identify Mandaps with high crowd density and recommend sensor deployment

data recommend_sensors;

  set futuristic_mandaps;

  if CrowdDensityIndex >= 7 and SensorDataAvailable = 'No' then RecommendSensors = 'Yes';

  else RecommendSensors = 'No';

run;

proc print data=recommend_sensors;

  title "Mandaps Recommended for IoT Sensor Installation";

  var MandapType Location CrowdDensityIndex SensorDataAvailable RecommendSensors;

run;

Output:

Mandaps Recommended for IoT Sensor Installation

ObsMandapTypeLocationCrowdDensityIndexSensorDataAvailableRecommendSensors
1VirtualMumbai8 No
2FloatingVaranasi4 No
3DroneBengaluru6 No
4AIHyderabad7 No
5BioLumKerala3 No
6HologramDelhi9 No
7SandstormKutch4 No
8SoundscapeAssam6 No
9KineticChennai5 No

Step 8: Visualization of TechCost vs Visitor Satisfaction by Mandap Type

proc sgplot data=futuristic_mandaps;

  scatter x=TechCost y=VisitorSatisfaction /

          group=MandapType markerattrs=(symbol=circlefilled);

  reg x=TechCost y=VisitorSatisfaction;

  title "Tech Cost vs Visitor Satisfaction by Mandap Type";

run;

Output:

The SGPlot Procedure


Step 9: Multi-dimensional analysis with PROC TABULATE

proc tabulate data=futuristic_mandaps;

  class MandapType Location;

  var AttendanceEstimate TechCost  VisitorSatisfaction;

  table MandapType,

        (AttendanceEstimate TechCost  VisitorSatisfaction)* (mean);

  title "Mandap Summary Statistics by Type";

run;

Output:

Mandap Summary Statistics by Type

 AttendanceEstimateTechCostVisitorSatisfaction
MeanMeanMean
MandapType4000.00250000.009.00
AI
BioLum1000.00300000.0010.00
Drone1500.00400000.008.00
Floating2500.00100000.007.00
Hologram8000.00500000.007.00
Kinetic2000.00320000.008.00
Sandstorm1200.00150000.008.00
Soundscape1800.00300000.009.00
Virtual7000.00200000.009.00



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