251.SELF-DESCRIPTION ANALYSIS OF AI MODULES USING PROC PRINT | PROC SORT | PROC FREQ | PROC MEANS | PROC SQL | MACROS IN SAS

SELF-DESCRIPTION ANALYSIS OF AI MODULES USING PROC PRINT | PROC SORT | PROC FREQ | PROC MEANS | PROC SQL | MACROS IN SAS

/*Creating a dataset of different types of AI personalities or capabilities*/

Dataset Creation:

options nocenter;

data chatgpt_self;

    length 

        AI_ID 8 

        Module_Type $20 

        Capability $25 

        Use_Case $30 

        Response_Style $20

        Confidence_Level 8 

        Trained_Data_Size $15 

        Region_Used $15 

        OpenAI_Version $10;

    

    format Confidence_Level 8.2;

    input 

        AI_ID 

        Module_Type $ 

        Capability $ 

        Use_Case $ 

        Response_Style $ 

        Confidence_Level 

        Trained_Data_Size $ 

        Region_Used $ 

        OpenAI_Version $;

    datalines;

1 Language NLP Chatbot Friendly 98.5 45TB Global GPT-4

2 Language TextSummary ArticleSummarization Formal 95.2 50TB Global GPT-4

3 Vision ObjectDetect SecuritySystems Concise 92.7 65TB USA GPT-4o

4 Reasoning MathGenius ProblemSolving Precise 97.8 48TB Global GPT-4

5 Creative PoetryWriter StoryCreation Artistic 93.6 40TB UK GPT-3.5

6 Multilingual Translator RealTimeTranslate Polite 96.3 55TB Asia GPT-4

7 Healthcare MedSupport MedicalAnalysis Clear 94.1 52TB USA GPT-4

8 Legal LegalAdvisor ContractReview Structured 95.9 47TB Europe GPT-4

9 Coding CodeHelper DebuggingTechnical Codey 97.5 60TB Global GPT-4

10 Retail SalesBot ProductSuggest Cheerful 91.8 42TB USA GPT-4

11 Research DataMiner LiteratureReview Scholarly 94.7 43TB Global GPT-4

12 Financial FinAdvisor InvestmentGuide Formal 96.6 51TB USA GPT-4

13 Education Tutor PersonalizedLearning Calm 92.5 49TB Asia GPT-4

14 Entertainment Screenwriter DialogueWriting Witty 89.9 38TB UK GPT-3.5

15 Emotional EmpathyBot StressSupport Empathetic 88.3 35TB Global GPT-3.5

16 Journalism FactChecker NewsVerification Serious 94.2 53TB USA GPT-4

17 Sports CoachBot TrainingSuggestions Energetic 91.0 39TB Europe GPT-3.5

18 Agriculture AgriAdvisor CropDiagnosis Informative 90.4 37TB India GPT-4

19 Travel GuideBot TravelPlans Fun 89.5 41TB Global GPT-4

20 Space AstroBot SpaceResearch Analytical 93.1 46TB NASA GPT-4

21 Disaster DisasterAlert EmergencyWarning Urgent 92.8 44TB Global GPT-4o

22 Chat CasualTalk CompanionCasual Friendly 87.9 36TB Global GPT-3.5

23 Quantum QAlgoSolver QuantumProblem Precise 95.0 55TB USA GPT-4

24 Robots RoboVision ObjectTracking Robotic 94.4 63TB Global GPT-4o

25 Nutrition DietAdvisor MealPlanning Gentle 90.2 40TB Asia GPT-4

26 AI EthicsAdvisor PolicyFormulation Neutral 93.7 48TB Global GPT-4

27 Gaming GameNarrator VirtualStorytelling Engaging 88.8 42TB USA GPT-3.5

28 HR ResumeFilter CandidateScreening Brief 91.3 45TB Europe GPT-4

29 Marketing AdGenerator CampaignCreation Persuasive 89.7 46TB USA GPT-4

30 Military DefenseBot ThreatAssessment Commanding 96.2 70TB Global GPT-4o

;

run;

proc print;run;

Output:

Obs	AI_ID	Module_Type	Capability	Use_Case	Response_Style	Confidence_Level	Trained_Data_Size	Region_Used	OpenAI_Version
1	1	Language	NLP	Chatbot	Friendly	98.50	45TB	Global	GPT-4
2	2	Language	TextSummary	ArticleSummarization	Formal	95.20	50TB	Global	GPT-4
3	3	Vision	ObjectDetect	SecuritySystems	Concise	92.70	65TB	USA	GPT-4o
4	4	Reasoning	MathGenius	ProblemSolving	Precise	97.80	48TB	Global	GPT-4
5	5	Creative	PoetryWriter	StoryCreation	Artistic	93.60	40TB	UK	GPT-3.5
6	6	Multilingual	Translator	RealTimeTranslate	Polite	96.30	55TB	Asia	GPT-4
7	7	Healthcare	MedSupport	MedicalAnalysis	Clear	94.10	52TB	USA	GPT-4
8	8	Legal	LegalAdvisor	ContractReview	Structured	95.90	47TB	Europe	GPT-4
9	9	Coding	CodeHelper	DebuggingTechnical	Codey	97.50	60TB	Global	GPT-4
10	10	Retail	SalesBot	ProductSuggest	Cheerful	91.80	42TB	USA	GPT-4
11	11	Research	DataMiner	LiteratureReview	Scholarly	94.70	43TB	Global	GPT-4
12	12	Financial	FinAdvisor	InvestmentGuide	Formal	96.60	51TB	USA	GPT-4
13	13	Education	Tutor	PersonalizedLearning	Calm	92.50	49TB	Asia	GPT-4
14	14	Entertainment	Screenwriter	DialogueWriting	Witty	89.90	38TB	UK	GPT-3.5
15	15	Emotional	EmpathyBot	StressSupport	Empathetic	88.30	35TB	Global	GPT-3.5
16	16	Journalism	FactChecker	NewsVerification	Serious	94.20	53TB	USA	GPT-4
17	17	Sports	CoachBot	TrainingSuggestions	Energetic	91.00	39TB	Europe	GPT-3.5
18	18	Agriculture	AgriAdvisor	CropDiagnosis	Informative	90.40	37TB	India	GPT-4
19	19	Travel	GuideBot	TravelPlans	Fun	89.50	41TB	Global	GPT-4
20	20	Space	AstroBot	SpaceResearch	Analytical	93.10	46TB	NASA	GPT-4
21	21	Disaster	DisasterAlert	EmergencyWarning	Urgent	92.80	44TB	Global	GPT-4o
22	22	Chat	CasualTalk	CompanionCasual	Friendly	87.90	36TB	Global	GPT-3.5
23	23	Quantum	QAlgoSolver	QuantumProblem	Precise	95.00	55TB	USA	GPT-4
24	24	Robots	RoboVision	ObjectTracking	Robotic	94.40	63TB	Global	GPT-4o
25	25	Nutrition	DietAdvisor	MealPlanning	Gentle	90.20	40TB	Asia	GPT-4
26	26	AI	EthicsAdvisor	PolicyFormulation	Neutral	93.70	48TB	Global	GPT-4
27	27	Gaming	GameNarrator	VirtualStorytelling	Engaging	88.80	42TB	USA	GPT-3.5
28	28	HR	ResumeFilter	CandidateScreening	Brief	91.30	45TB	Europe	GPT-4
29	29	Marketing	AdGenerator	CampaignCreation	Persuasive	89.70	46TB	USA	GPT-4
30	30	Military	DefenseBot	ThreatAssessment	Commanding	96.20	70TB	Global	GPT-4o

Step 1: Data Exploration using PROC PRINT

proc print data=chatgpt_self(obs=10);

 title "First 10 Records Of ChatGPT Self-Description Dataset";

run;

 Output:

First 10 Records Of ChatGPT Self-Description Dataset

Obs	AI_ID	Module_Type	Capability	Use_Case	Response_Style	Confidence_Level	Trained_Data_Size	Region_Used	OpenAI_Version
1	1	Language	NLP	Chatbot	Friendly	98.50	45TB	Global	GPT-4
2	2	Language	TextSummary	ArticleSummarization	Formal	95.20	50TB	Global	GPT-4
3	3	Vision	ObjectDetect	SecuritySystems	Concise	92.70	65TB	USA	GPT-4o
4	4	Reasoning	MathGenius	ProblemSolving	Precise	97.80	48TB	Global	GPT-4
5	5	Creative	PoetryWriter	StoryCreation	Artistic	93.60	40TB	UK	GPT-3.5
6	6	Multilingual	Translator	RealTimeTranslate	Polite	96.30	55TB	Asia	GPT-4
7	7	Healthcare	MedSupport	MedicalAnalysis	Clear	94.10	52TB	USA	GPT-4
8	8	Legal	LegalAdvisor	ContractReview	Structured	95.90	47TB	Europe	GPT-4
9	9	Coding	CodeHelper	DebuggingTechnical	Codey	97.50	60TB	Global	GPT-4
10	10	Retail	SalesBot	ProductSuggest	Cheerful	91.80	42TB	USA	GPT-4

Step 2: Sorting the Data using PROC SORT

proc sort data=chatgpt_self out=sorted_ai;

 by descending Confidence_Level;

run;

proc print data=sorted_ai;

 title "AI Modules Sorted by Confidence Level";

run;

Output:

AI Modules Sorted by Confidence Level

Obs	AI_ID	Module_Type	Capability	Use_Case	Response_Style	Confidence_Level	Trained_Data_Size	Region_Used	OpenAI_Version
1	1	Language	NLP	Chatbot	Friendly	98.50	45TB	Global	GPT-4
2	4	Reasoning	MathGenius	ProblemSolving	Precise	97.80	48TB	Global	GPT-4
3	9	Coding	CodeHelper	DebuggingTechnical	Codey	97.50	60TB	Global	GPT-4
4	12	Financial	FinAdvisor	InvestmentGuide	Formal	96.60	51TB	USA	GPT-4
5	6	Multilingual	Translator	RealTimeTranslate	Polite	96.30	55TB	Asia	GPT-4
6	30	Military	DefenseBot	ThreatAssessment	Commanding	96.20	70TB	Global	GPT-4o
7	8	Legal	LegalAdvisor	ContractReview	Structured	95.90	47TB	Europe	GPT-4
8	2	Language	TextSummary	ArticleSummarization	Formal	95.20	50TB	Global	GPT-4
9	23	Quantum	QAlgoSolver	QuantumProblem	Precise	95.00	55TB	USA	GPT-4
10	11	Research	DataMiner	LiteratureReview	Scholarly	94.70	43TB	Global	GPT-4
11	24	Robots	RoboVision	ObjectTracking	Robotic	94.40	63TB	Global	GPT-4o
12	16	Journalism	FactChecker	NewsVerification	Serious	94.20	53TB	USA	GPT-4
13	7	Healthcare	MedSupport	MedicalAnalysis	Clear	94.10	52TB	USA	GPT-4
14	26	AI	EthicsAdvisor	PolicyFormulation	Neutral	93.70	48TB	Global	GPT-4
15	5	Creative	PoetryWriter	StoryCreation	Artistic	93.60	40TB	UK	GPT-3.5
16	20	Space	AstroBot	SpaceResearch	Analytical	93.10	46TB	NASA	GPT-4
17	21	Disaster	DisasterAlert	EmergencyWarning	Urgent	92.80	44TB	Global	GPT-4o
18	3	Vision	ObjectDetect	SecuritySystems	Concise	92.70	65TB	USA	GPT-4o
19	13	Education	Tutor	PersonalizedLearning	Calm	92.50	49TB	Asia	GPT-4
20	10	Retail	SalesBot	ProductSuggest	Cheerful	91.80	42TB	USA	GPT-4
21	28	HR	ResumeFilter	CandidateScreening	Brief	91.30	45TB	Europe	GPT-4
22	17	Sports	CoachBot	TrainingSuggestions	Energetic	91.00	39TB	Europe	GPT-3.5
23	18	Agriculture	AgriAdvisor	CropDiagnosis	Informative	90.40	37TB	India	GPT-4
24	25	Nutrition	DietAdvisor	MealPlanning	Gentle	90.20	40TB	Asia	GPT-4
25	14	Entertainment	Screenwriter	DialogueWriting	Witty	89.90	38TB	UK	GPT-3.5
26	29	Marketing	AdGenerator	CampaignCreation	Persuasive	89.70	46TB	USA	GPT-4
27	19	Travel	GuideBot	TravelPlans	Fun	89.50	41TB	Global	GPT-4
28	27	Gaming	GameNarrator	VirtualStorytelling	Engaging	88.80	42TB	USA	GPT-3.5
29	15	Emotional	EmpathyBot	StressSupport	Empathetic	88.30	35TB	Global	GPT-3.5
30	22	Chat	CasualTalk	CompanionCasual	Friendly	87.90	36TB	Global	GPT-3.5

Step 3: Frequency Distribution using PROC FREQ

proc freq data=chatgpt_self;

 tables Region_Used Module_Type Capability;

 title "Frequency Distribution using PROC FREQ";

run;

Output:

Frequency Distribution using PROC FREQ

The FREQ Procedure

Region_Used	Frequency	Percent	Cumulative Frequency	Cumulative Percent
Asia	3	10.00	3	10.00
Europe	3	10.00	6	20.00
Global	12	40.00	18	60.00
India	1	3.33	19	63.33
NASA	1	3.33	20	66.67
UK	2	6.67	22	73.33
USA	8	26.67	30	100.00

Module_Type	Frequency	Percent	Cumulative Frequency	Cumulative Percent
AI	1	3.33	1	3.33
Agriculture	1	3.33	2	6.67
Chat	1	3.33	3	10.00
Coding	1	3.33	4	13.33
Creative	1	3.33	5	16.67
Disaster	1	3.33	6	20.00
Education	1	3.33	7	23.33
Emotional	1	3.33	8	26.67
Entertainment	1	3.33	9	30.00
Financial	1	3.33	10	33.33
Gaming	1	3.33	11	36.67
HR	1	3.33	12	40.00
Healthcare	1	3.33	13	43.33
Journalism	1	3.33	14	46.67
Language	2	6.67	16	53.33
Legal	1	3.33	17	56.67
Marketing	1	3.33	18	60.00
Military	1	3.33	19	63.33
Multilingual	1	3.33	20	66.67
Nutrition	1	3.33	21	70.00
Quantum	1	3.33	22	73.33
Reasoning	1	3.33	23	76.67
Research	1	3.33	24	80.00
Retail	1	3.33	25	83.33
Robots	1	3.33	26	86.67
Space	1	3.33	27	90.00
Sports	1	3.33	28	93.33
Travel	1	3.33	29	96.67
Vision	1	3.33	30	100.00

Capability	Frequency	Percent	Cumulative Frequency	Cumulative Percent
AdGenerator	1	3.33	1	3.33
AgriAdvisor	1	3.33	2	6.67
AstroBot	1	3.33	3	10.00
CasualTalk	1	3.33	4	13.33
CoachBot	1	3.33	5	16.67
CodeHelper	1	3.33	6	20.00
DataMiner	1	3.33	7	23.33
DefenseBot	1	3.33	8	26.67
DietAdvisor	1	3.33	9	30.00
DisasterAlert	1	3.33	10	33.33
EmpathyBot	1	3.33	11	36.67
EthicsAdvisor	1	3.33	12	40.00
FactChecker	1	3.33	13	43.33
FinAdvisor	1	3.33	14	46.67
GameNarrator	1	3.33	15	50.00
GuideBot	1	3.33	16	53.33
LegalAdvisor	1	3.33	17	56.67
MathGenius	1	3.33	18	60.00
MedSupport	1	3.33	19	63.33
NLP	1	3.33	20	66.67
ObjectDetect	1	3.33	21	70.00
PoetryWriter	1	3.33	22	73.33
QAlgoSolver	1	3.33	23	76.67
ResumeFilter	1	3.33	24	80.00
RoboVision	1	3.33	25	83.33
SalesBot	1	3.33	26	86.67
Screenwriter	1	3.33	27	90.00
TextSummary	1	3.33	28	93.33
Translator	1	3.33	29	96.67
Tutor	1	3.33	30	100.00

Step 4: Statistical Summary using PROC MEANS

proc means data=chatgpt_self min max mean std;

 var Confidence_Level;

 title "Statistical Summary Of AI Confidence Level";

run;

Output:

Statistical Summary Of AI Confidence Level

The MEANS Procedure

Analysis Variable : Confidence_Level
Minimum	Maximum	Mean	Std Dev
87.9000000	98.5000000	93.1200000	2.9630367

Step 5: SQL Operations with PROC SQL

Example 1: Highest Confidence by Region

proc sql;

 select Region_Used, max(Confidence_Level) as Max_Co

 from Chatgpt_self

 group by Region_Used;

quit;

Output:

Region_Used	Max_Co
Asia	96.3
Europe	95.9
Global	98.5
India	90.4
NASA	93.1
UK	93.6
USA	96.6

Example 2: Count of AI by Capability

proc sql;

  select Capability, Count(*) as Count

  from chatgpt_self

  group by Capability

  order by Count desc;

 quit;

 Output:

Capability	Count
ResumeFilter	1
NLP	1
EthicsAdvisor	1
TextSummary	1
MathGenius	1
DisasterAlert	1
PoetryWriter	1
CodeHelper	1
SalesBot	1
FinAdvisor	1
Tutor	1
LegalAdvisor	1
DietAdvisor	1
MedSupport	1
CoachBot	1
ObjectDetect	1
EmpathyBot	1
QAlgoSolver	1
AstroBot	1
RoboVision	1
FactChecker	1
Screenwriter	1
DataMiner	1
Translator	1
GameNarrator	1
AdGenerator	1
AgriAdvisor	1
CasualTalk	1
DefenseBot	1
GuideBot	1

Step 6: Using SAS MACROS for Dynamic Analysis

%macro top_ai_by_region(region);

 proc sql;

  title "Top AI Modules in &region by Confidence";

  select Module_Type, Capability, Confidence_Level

  from chatgpt_self

  where Region_Used = "&region"

  order by Confidence_Level desc;

 quit;

%mend;

%top_ai_by_region(Global);

Output:

Top AI Modules in Global by Confidence

Module_Type	Capability	Confidence_Level
Language	NLP	98.50
Reasoning	MathGenius	97.80
Coding	CodeHelper	97.50
Military	DefenseBot	96.20
Language	TextSummary	95.20
Research	DataMiner	94.70
Robots	RoboVision	94.40
AI	EthicsAdvisor	93.70
Disaster	DisasterAlert	92.80
Travel	GuideBot	89.50
Emotional	EmpathyBot	88.30
Chat	CasualTalk	87.90

%top_ai_by_region(USA);

Output:

Top  AI Modules in USA by Confidence

Module_Type	Capability	Confidence_Level
Financial	FinAdvisor	96.60
Quantum	QAlgoSolver	95.00
Journalism	FactChecker	94.20
Healthcare	MedSupport	94.10
Vision	ObjectDetect	92.70
Retail	SalesBot	91.80
Marketing	AdGenerator	89.70
Gaming	GameNarrator	88.80

%top_ai_by_region(Asia);

Output:

Top AI Modules in Asia by Confidence

Module_Type	Capability	Confidence_Level
Multilingual	Translator	96.30
Education	Tutor	92.50
Nutrition	DietAdvisor	90.20

Step 7: Categorize Confidence Level using IF-ELSE 

data catagorized_ai;

 set chatgpt_self;

 length  Confidence_Category $15;

 if Confidence_Level >= 96 then Confidence_Category = "High";

 else if Confidence_Level >= 92 then Confidence_Category = "Medium";

 else Confidence_Category = "Low";

run;

proc priont;run;

Output:

Obs	AI_ID	Module_Type	Capability	Use_Case	Response_Style	Confidence_Level	Trained_Data_Size	Region_Used	OpenAI_Version	Confidence_Category
1	1	Language	NLP	Chatbot	Friendly	98.50	45TB	Global	GPT-4	High
2	2	Language	TextSummary	ArticleSummarization	Formal	95.20	50TB	Global	GPT-4	Medium
3	3	Vision	ObjectDetect	SecuritySystems	Concise	92.70	65TB	USA	GPT-4o	Medium
4	4	Reasoning	MathGenius	ProblemSolving	Precise	97.80	48TB	Global	GPT-4	High
5	5	Creative	PoetryWriter	StoryCreation	Artistic	93.60	40TB	UK	GPT-3.5	Medium
6	6	Multilingual	Translator	RealTimeTranslate	Polite	96.30	55TB	Asia	GPT-4	High
7	7	Healthcare	MedSupport	MedicalAnalysis	Clear	94.10	52TB	USA	GPT-4	Medium
8	8	Legal	LegalAdvisor	ContractReview	Structured	95.90	47TB	Europe	GPT-4	Medium
9	9	Coding	CodeHelper	DebuggingTechnical	Codey	97.50	60TB	Global	GPT-4	High
10	10	Retail	SalesBot	ProductSuggest	Cheerful	91.80	42TB	USA	GPT-4	Low
11	11	Research	DataMiner	LiteratureReview	Scholarly	94.70	43TB	Global	GPT-4	Medium
12	12	Financial	FinAdvisor	InvestmentGuide	Formal	96.60	51TB	USA	GPT-4	High
13	13	Education	Tutor	PersonalizedLearning	Calm	92.50	49TB	Asia	GPT-4	Medium
14	14	Entertainment	Screenwriter	DialogueWriting	Witty	89.90	38TB	UK	GPT-3.5	Low
15	15	Emotional	EmpathyBot	StressSupport	Empathetic	88.30	35TB	Global	GPT-3.5	Low
16	16	Journalism	FactChecker	NewsVerification	Serious	94.20	53TB	USA	GPT-4	Medium
17	17	Sports	CoachBot	TrainingSuggestions	Energetic	91.00	39TB	Europe	GPT-3.5	Low
18	18	Agriculture	AgriAdvisor	CropDiagnosis	Informative	90.40	37TB	India	GPT-4	Low
19	19	Travel	GuideBot	TravelPlans	Fun	89.50	41TB	Global	GPT-4	Low
20	20	Space	AstroBot	SpaceResearch	Analytical	93.10	46TB	NASA	GPT-4	Medium
21	21	Disaster	DisasterAlert	EmergencyWarning	Urgent	92.80	44TB	Global	GPT-4o	Medium
22	22	Chat	CasualTalk	CompanionCasual	Friendly	87.90	36TB	Global	GPT-3.5	Low
23	23	Quantum	QAlgoSolver	QuantumProblem	Precise	95.00	55TB	USA	GPT-4	Medium
24	24	Robots	RoboVision	ObjectTracking	Robotic	94.40	63TB	Global	GPT-4o	Medium
25	25	Nutrition	DietAdvisor	MealPlanning	Gentle	90.20	40TB	Asia	GPT-4	Low
26	26	AI	EthicsAdvisor	PolicyFormulation	Neutral	93.70	48TB	Global	GPT-4	Medium
27	27	Gaming	GameNarrator	VirtualStorytelling	Engaging	88.80	42TB	USA	GPT-3.5	Low
28	28	HR	ResumeFilter	CandidateScreening	Brief	91.30	45TB	Europe	GPT-4	Low
29	29	Marketing	AdGenerator	CampaignCreation	Persuasive	89.70	46TB	USA	GPT-4	Low
30	30	Military	DefenseBot	ThreatAssessment	Commanding	96.20	70TB	Global	GPT-4o	High

proc freq data=catagorized_ai;

 tables Confidence_Category;

 title "AI Confidence Category Distribution";

run;

Output:

AI Confidence Category Distribution

The FREQ Procedure

Confidence_Category	Frequency	Percent	Cumulative Frequency	Cumulative Percent
High	6	20.00	6	20.00
Low	11	36.67	17	56.67
Medium	13	43.33	30	100.00

Step 8: Loop Through Capabilities with Macros

proc sql noprint;

 select distinct Capability into :capList separated by "|"

 from chatgpt_self;

quit;

%let capCount =%sysfunc(countw(&capList, |));

%macro capability_counts;

 %do i = 1 %to &capCount;

   %let currentCap = %scan(&capList, &i, |);

   

   proc sql;

    title "Count of Capability: &currentCap";

    select count(*) as Total_AIs

    from chatgpt_self

    where Capability = "&currentCap";

   quit;

  %end;

%mend;

 

%capability_counts

Output:

Count of Capability: AdGenerator

Total_AIs
1

Count of Capability: AgriAdvisor

Total_AIs
1

Count of Capability: AstroBot

Total_AIs
1

Count of Capability: CasualTalk

Total_AIs
1

Count of Capability: CoachBot

Total_AIs
1

Count of Capability: CodeHelper

Total_AIs
1

Count of Capability: DataMiner

Total_AIs
1

Count of Capability: DefenseBot

Total_AIs
1

Count of Capability: DietAdvisor

Total_AIs
1

Count of Capability: DisasterAlert

Total_AIs
1

Count of Capability: EmpathyBot

Total_AIs
1

Count of Capability: EthicsAdvisor

Total_AIs
1

Count of Capability: FactChecker

Total_AIs
1

Count of Capability: FinAdvisor

Total_AIs
1

Count of Capability: GameNarrator

Total_AIs
1

Count of Capability: GuideBot

Total_AIs
1

Count of Capability: LegalAdvisor

Total_AIs
1

Count of Capability: MathGenius

Total_AIs
1

Count of Capability: MedSupport

Total_AIs
1

Count of Capability: NLP

Total_AIs
1

Count of Capability: ObjectDetect

Total_AIs
1

Count of Capability: PoetryWriter

Total_AIs
1

Count of Capability: QAlgoSolver

Total_AIs
1

Count of Capability: ResumeFilter

Total_AIs
1

Count of Capability: RoboVision

Total_AIs
1

Count of Capability: SalesBot

Total_AIs
1

Count of Capability: Screenwriter

Total_AIs
1

Count of Capability: TextSummary

Total_AIs
1

Count of Capability: Translator

Total_AIs
1

Count of Capability: Tutor

Total_AIs
1

Step 9: Advanced Grouping – AI Count by Training Size Category

data size_grouped;

    set chatgpt_self;

    length Size_Category $10;

    if input(compress(Trained_Data_Size,,'kd'), 8.) < 45 then Size_Category = "Small";

    else if input(compress(Trained_Data_Size,,'kd'), 8.) <= 55 then Size_Category = "Medium";

    else Size_Category = "Large";

run;

proc print;run;

 Output:

Obs	AI_ID	Module_Type	Capability	Use_Case	Response_Style	Confidence_Level	Trained_Data_Size	Region_Used	OpenAI_Version	Size_Category
1	1	Language	NLP	Chatbot	Friendly	98.50	45TB	Global	GPT-4	Medium
2	2	Language	TextSummary	ArticleSummarization	Formal	95.20	50TB	Global	GPT-4	Medium
3	3	Vision	ObjectDetect	SecuritySystems	Concise	92.70	65TB	USA	GPT-4o	Large
4	4	Reasoning	MathGenius	ProblemSolving	Precise	97.80	48TB	Global	GPT-4	Medium
5	5	Creative	PoetryWriter	StoryCreation	Artistic	93.60	40TB	UK	GPT-3.5	Small
6	6	Multilingual	Translator	RealTimeTranslate	Polite	96.30	55TB	Asia	GPT-4	Medium
7	7	Healthcare	MedSupport	MedicalAnalysis	Clear	94.10	52TB	USA	GPT-4	Medium
8	8	Legal	LegalAdvisor	ContractReview	Structured	95.90	47TB	Europe	GPT-4	Medium
9	9	Coding	CodeHelper	DebuggingTechnical	Codey	97.50	60TB	Global	GPT-4	Large
10	10	Retail	SalesBot	ProductSuggest	Cheerful	91.80	42TB	USA	GPT-4	Small
11	11	Research	DataMiner	LiteratureReview	Scholarly	94.70	43TB	Global	GPT-4	Small
12	12	Financial	FinAdvisor	InvestmentGuide	Formal	96.60	51TB	USA	GPT-4	Medium
13	13	Education	Tutor	PersonalizedLearning	Calm	92.50	49TB	Asia	GPT-4	Medium
14	14	Entertainment	Screenwriter	DialogueWriting	Witty	89.90	38TB	UK	GPT-3.5	Small
15	15	Emotional	EmpathyBot	StressSupport	Empathetic	88.30	35TB	Global	GPT-3.5	Small
16	16	Journalism	FactChecker	NewsVerification	Serious	94.20	53TB	USA	GPT-4	Medium
17	17	Sports	CoachBot	TrainingSuggestions	Energetic	91.00	39TB	Europe	GPT-3.5	Small
18	18	Agriculture	AgriAdvisor	CropDiagnosis	Informative	90.40	37TB	India	GPT-4	Small
19	19	Travel	GuideBot	TravelPlans	Fun	89.50	41TB	Global	GPT-4	Small
20	20	Space	AstroBot	SpaceResearch	Analytical	93.10	46TB	NASA	GPT-4	Medium
21	21	Disaster	DisasterAlert	EmergencyWarning	Urgent	92.80	44TB	Global	GPT-4o	Small
22	22	Chat	CasualTalk	CompanionCasual	Friendly	87.90	36TB	Global	GPT-3.5	Small
23	23	Quantum	QAlgoSolver	QuantumProblem	Precise	95.00	55TB	USA	GPT-4	Medium
24	24	Robots	RoboVision	ObjectTracking	Robotic	94.40	63TB	Global	GPT-4o	Large
25	25	Nutrition	DietAdvisor	MealPlanning	Gentle	90.20	40TB	Asia	GPT-4	Small
26	26	AI	EthicsAdvisor	PolicyFormulation	Neutral	93.70	48TB	Global	GPT-4	Medium
27	27	Gaming	GameNarrator	VirtualStorytelling	Engaging	88.80	42TB	USA	GPT-3.5	Small
28	28	HR	ResumeFilter	CandidateScreening	Brief	91.30	45TB	Europe	GPT-4	Medium
29	29	Marketing	AdGenerator	CampaignCreation	Persuasive	89.70	46TB	USA	GPT-4	Medium
30	30	Military	DefenseBot	ThreatAssessment	Commanding	96.20	70TB	Global	GPT-4o	Large

proc freq data=size_grouped;

  tables Size_Category;

  title "AI Modules by Training Data Size Category";

run;

Output:

AI Modules by Training Data Size Category

The FREQ Procedure

Size_Category	Frequency	Percent	Cumulative Frequency	Cumulative Percent
Large	4	13.33	4	13.33
Medium	14	46.67	18	60.00
Small	12	40.00	30	100.00

Step 10: Cross-tab

proc freq data=catagorized_ai;

 tables Module_Type*Confidence_Category / nopercent norow nocol;

 title "Module vs Confidence Category Matrix";

run;

Output:

Module vs Confidence Category Matrix

The FREQ Procedure

Frequency

Table of Module_Type by Confidence_Category Module_Type Confidence_Category High Low Medium Total AI 0 0 1 1 Agriculture 0 1 0 1 Chat 0 1 0 1 Coding 1 0 0 1 Creative 0 0 1 1 Disaster 0 0 1 1 Education 0 0 1 1 Emotional 0 1 0 1 Entertainment 0 1 0 1 Financial 1 0 0 1 Gaming 0 1 0 1 HR 0 1 0 1 Healthcare 0 0 1 1 Journalism 0 0 1 1 Language 1 0 1 2 Legal 0 0 1 1 Marketing 0 1 0 1 Military 1 0 0 1 Multilingual 1 0 0 1 Nutrition 0 1 0 1 Quantum 0 0 1 1 Reasoning 1 0 0 1 Research 0 0 1 1 Retail 0 1 0 1 Robots 0 0 1 1 Space 0 0 1 1 Sports 0 1 0 1 Travel 0 1 0 1 Vision 0 0 1 1 Total 6 11 13 30

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