353.ROBOTICS INNOVATIONS DATA ANALYSIS USING SAS DATA STEP | PROC SQL | PROC MEANS | PROC FREQ | PROC RANK | MACROS | DATE FUNCTIONS (MDY - INTNX - INTCK) | APPEND | MERGE | TRANSPOSE

ROBOTICS INNOVATIONS DATA ANALYSIS USING SAS DATA STEP | PROC SQL | PROC MEANS |  PROC FREQ | PROC RANK | MACROS | DATE FUNCTIONS (MDY - INTNX - INTCK) | APPEND | MERGE | TRANSPOSE

options nocenter;

1.ROBOTICS BASE DATASET CREATION

data robotics_base;

    length Robot_Name $20 Usage $20 Country $15 Complexity_Level $10;

    format Launch_Date Review_Date date9.;

    input Robot_Name $ Usage $ Country $ Cost Complexity_Level $ Adoption_Rate 

          Launch_Date :date9.;

    Review_Date = intnx('month', Launch_Date, 6, 'same');

    datalines;

RoboMedic Healthcare USA 250000 High 72 15JAN2020

AutoArm Manufacturing Germany 180000 Medium 65 10MAR2019

AgriBot Agriculture India 90000 Medium 58 22JUL2021

SentinelX Defense Israel 400000 High 80 01DEC2018

CleanMate Domestic Japan 45000 Low 74 05FEB2022

LogiBot Logistics China 120000 Medium 69 19SEP2020

EduDroid Education UK 60000 Low 55 12APR2021

RescueOne Disaster USA 300000 High 62 03AUG2019

NanoSurgeon Healthcare Switzerland 500000 High 48 28NOV2017

MineRover Mining Australia 220000 Medium 51 14MAY2018

HotelBot Service Singapore 75000 Low 66 20JAN2022

FarmAssist Agriculture Netherlands 110000 Medium 59 18JUN2020

DefenseAI Defense SouthKorea 420000 High 77 11OCT2019

;

run;

proc print data=robotics_base;

run;

OUTPUT:

Obs	Robot_Name	Usage	Country	Complexity_Level	Launch_Date	Review_Date	Cost	Adoption_Rate
1	RoboMedic	Healthcare	USA	High	15JAN2020	15JUL2020	250000	72
2	AutoArm	Manufacturing	Germany	Medium	10MAR2019	10SEP2019	180000	65
3	AgriBot	Agriculture	India	Medium	22JUL2021	22JAN2022	90000	58
4	SentinelX	Defense	Israel	High	01DEC2018	01JUN2019	400000	80
5	CleanMate	Domestic	Japan	Low	05FEB2022	05AUG2022	45000	74
6	LogiBot	Logistics	China	Medium	19SEP2020	19MAR2021	120000	69
7	EduDroid	Education	UK	Low	12APR2021	12OCT2021	60000	55
8	RescueOne	Disaster	USA	High	03AUG2019	03FEB2020	300000	62
9	NanoSurgeon	Healthcare	Switzerland	High	28NOV2017	28MAY2018	500000	48
10	MineRover	Mining	Australia	Medium	14MAY2018	14NOV2018	220000	51
11	HotelBot	Service	Singapore	Low	20JAN2022	20JUL2022	75000	66
12	FarmAssist	Agriculture	Netherlands	Medium	18JUN2020	18DEC2020	110000	59
13	DefenseAI	Defense	SouthKorea	High	11OCT2019	11APR2020	420000	77

2.DATE FUNCTIONS PRACTICE (MDY | INTNX | INTCK)

data robotics_dates;

    set robotics_base;

    Year_Launched = year(Launch_Date);

    Months_Since_Launch = intck('month', Launch_Date, today());

    Next_Review = intnx('year', Launch_Date, 1, 'same');

    Custom_Date = mdy(12,31,Year_Launched);

    format Next_Review Custom_Date date9.;

run;

proc print data=robotics_dates;

run;

OUTPUT:

Obs	Robot_Name	Usage	Country	Complexity_Level	Launch_Date	Review_Date	Cost	Adoption_Rate	Year_Launched	Months_Since_Launch	Next_Review	Custom_Date
1	RoboMedic	Healthcare	USA	High	15JAN2020	15JUL2020	250000	72	2020	71	15JAN2021	31DEC2020
2	AutoArm	Manufacturing	Germany	Medium	10MAR2019	10SEP2019	180000	65	2019	81	10MAR2020	31DEC2019
3	AgriBot	Agriculture	India	Medium	22JUL2021	22JAN2022	90000	58	2021	53	22JUL2022	31DEC2021
4	SentinelX	Defense	Israel	High	01DEC2018	01JUN2019	400000	80	2018	84	01DEC2019	31DEC2018
5	CleanMate	Domestic	Japan	Low	05FEB2022	05AUG2022	45000	74	2022	46	05FEB2023	31DEC2022
6	LogiBot	Logistics	China	Medium	19SEP2020	19MAR2021	120000	69	2020	63	19SEP2021	31DEC2020
7	EduDroid	Education	UK	Low	12APR2021	12OCT2021	60000	55	2021	56	12APR2022	31DEC2021
8	RescueOne	Disaster	USA	High	03AUG2019	03FEB2020	300000	62	2019	76	03AUG2020	31DEC2019
9	NanoSurgeon	Healthcare	Switzerland	High	28NOV2017	28MAY2018	500000	48	2017	97	28NOV2018	31DEC2017
10	MineRover	Mining	Australia	Medium	14MAY2018	14NOV2018	220000	51	2018	91	14MAY2019	31DEC2018
11	HotelBot	Service	Singapore	Low	20JAN2022	20JUL2022	75000	66	2022	47	20JAN2023	31DEC2022
12	FarmAssist	Agriculture	Netherlands	Medium	18JUN2020	18DEC2020	110000	59	2020	66	18JUN2021	31DEC2020
13	DefenseAI	Defense	SouthKorea	High	11OCT2019	11APR2020	420000	77	2019	74	11OCT2020	31DEC2019

3.PROC SQL – DATA EXTRACTION & DERIVATIONS

proc sql;

    create table robotics_sql as

    select Robot_Name,Usage,Country,Cost,Complexity_Level,Adoption_Rate,Launch_Date,

           Review_Date,

           case 

             when Cost > 300000 then 'Very Expensive'

             when Cost > 150000 then 'Expensive'

             else 'Affordable'

           end as Cost_Category

    from robotics_dates;

quit;

proc print data=robotics_sql;

run;

OUTPUT:

Obs	Robot_Name	Usage	Country	Cost	Complexity_Level	Adoption_Rate	Launch_Date	Review_Date	Cost_Category
1	RoboMedic	Healthcare	USA	250000	High	72	15JAN2020	15JUL2020	Expensive
2	AutoArm	Manufacturing	Germany	180000	Medium	65	10MAR2019	10SEP2019	Expensive
3	AgriBot	Agriculture	India	90000	Medium	58	22JUL2021	22JAN2022	Affordable
4	SentinelX	Defense	Israel	400000	High	80	01DEC2018	01JUN2019	Very Expensive
5	CleanMate	Domestic	Japan	45000	Low	74	05FEB2022	05AUG2022	Affordable
6	LogiBot	Logistics	China	120000	Medium	69	19SEP2020	19MAR2021	Affordable
7	EduDroid	Education	UK	60000	Low	55	12APR2021	12OCT2021	Affordable
8	RescueOne	Disaster	USA	300000	High	62	03AUG2019	03FEB2020	Expensive
9	NanoSurgeon	Healthcare	Switzerland	500000	High	48	28NOV2017	28MAY2018	Very Expensive
10	MineRover	Mining	Australia	220000	Medium	51	14MAY2018	14NOV2018	Expensive
11	HotelBot	Service	Singapore	75000	Low	66	20JAN2022	20JUL2022	Affordable
12	FarmAssist	Agriculture	Netherlands	110000	Medium	59	18JUN2020	18DEC2020	Affordable
13	DefenseAI	Defense	SouthKorea	420000	High	77	11OCT2019	11APR2020	Very Expensive

4.PROC MEANS – NUMERICAL SUMMARY

proc means data=robotics_sql mean min max;

    var Cost Adoption_Rate;

run;

OUTPUT:

The MEANS Procedure

Variable	Mean	Minimum	Maximum
Cost Adoption_Rate	213076.92 64.3076923	45000.00 48.0000000	500000.00 80.0000000

5.PROC FREQ – CATEGORICAL ANALYSIS

proc freq data=robotics_sql;

    tables Country*Complexity_Level / nocum;

run;

OUTPUT:

The FREQ Procedure

Frequency Percent Row Pct Col Pct

Table of Country by Complexity_Level Country Complexity_Level High Low Medium Total Australia 0 0.00 0.00 0.00 0 0.00 0.00 0.00 1 7.69 100.00 20.00 1 7.69     China 0 0.00 0.00 0.00 0 0.00 0.00 0.00 1 7.69 100.00 20.00 1 7.69     Germany 0 0.00 0.00 0.00 0 0.00 0.00 0.00 1 7.69 100.00 20.00 1 7.69     India 0 0.00 0.00 0.00 0 0.00 0.00 0.00 1 7.69 100.00 20.00 1 7.69     Israel 1 7.69 100.00 20.00 0 0.00 0.00 0.00 0 0.00 0.00 0.00 1 7.69     Japan 0 0.00 0.00 0.00 1 7.69 100.00 33.33 0 0.00 0.00 0.00 1 7.69     Netherlands 0 0.00 0.00 0.00 0 0.00 0.00 0.00 1 7.69 100.00 20.00 1 7.69     Singapore 0 0.00 0.00 0.00 1 7.69 100.00 33.33 0 0.00 0.00 0.00 1 7.69     SouthKorea 1 7.69 100.00 20.00 0 0.00 0.00 0.00 0 0.00 0.00 0.00 1 7.69     Switzerland 1 7.69 100.00 20.00 0 0.00 0.00 0.00 0 0.00 0.00 0.00 1 7.69     UK 0 0.00 0.00 0.00 1 7.69 100.00 33.33 0 0.00 0.00 0.00 1 7.69     USA 2 15.38 100.00 40.00 0 0.00 0.00 0.00 0 0.00 0.00 0.00 2 15.38     Total 5 38.46 3 23.08 5 38.46 13 100.00

6.MACRO – AUTOMATION LEVEL CLASSIFICATION

%macro automation_level;

data robotics_auto;

    set robotics_sql;

    length Automation_Level $30;

    if Adoption_Rate >= 70 then Automation_Level='Highly Automated';

    else if Adoption_Rate >= 55 then Automation_Level='Moderately Automated';

    else Automation_Level='Low Automation';

run;

proc print data=robotics_auto;

run;

%mend;

%automation_level;

OUTPUT:

Obs	Robot_Name	Usage	Country	Cost	Complexity_Level	Adoption_Rate	Launch_Date	Review_Date	Cost_Category	Automation_Level
1	RoboMedic	Healthcare	USA	250000	High	72	15JAN2020	15JUL2020	Expensive	Highly Automated
2	AutoArm	Manufacturing	Germany	180000	Medium	65	10MAR2019	10SEP2019	Expensive	Moderately Automated
3	AgriBot	Agriculture	India	90000	Medium	58	22JUL2021	22JAN2022	Affordable	Moderately Automated
4	SentinelX	Defense	Israel	400000	High	80	01DEC2018	01JUN2019	Very Expensive	Highly Automated
5	CleanMate	Domestic	Japan	45000	Low	74	05FEB2022	05AUG2022	Affordable	Highly Automated
6	LogiBot	Logistics	China	120000	Medium	69	19SEP2020	19MAR2021	Affordable	Moderately Automated
7	EduDroid	Education	UK	60000	Low	55	12APR2021	12OCT2021	Affordable	Moderately Automated
8	RescueOne	Disaster	USA	300000	High	62	03AUG2019	03FEB2020	Expensive	Moderately Automated
9	NanoSurgeon	Healthcare	Switzerland	500000	High	48	28NOV2017	28MAY2018	Very Expensive	Low Automation
10	MineRover	Mining	Australia	220000	Medium	51	14MAY2018	14NOV2018	Expensive	Low Automation
11	HotelBot	Service	Singapore	75000	Low	66	20JAN2022	20JUL2022	Affordable	Moderately Automated
12	FarmAssist	Agriculture	Netherlands	110000	Medium	59	18JUN2020	18DEC2020	Affordable	Moderately Automated
13	DefenseAI	Defense	SouthKorea	420000	High	77	11OCT2019	11APR2020	Very Expensive	Highly Automated

7.PROC RANK – ROBOT ADOPTION RANKING

proc rank data=robotics_auto out=robotics_rank descending;

    var Adoption_Rate;

    ranks Adoption_Rank;

run;

proc print data=robotics_rank;

run;

OUTPUT:

Obs	Robot_Name	Usage	Country	Cost	Complexity_Level	Adoption_Rate	Launch_Date	Review_Date	Cost_Category	Automation_Level	Adoption_Rank
1	RoboMedic	Healthcare	USA	250000	High	72	15JAN2020	15JUL2020	Expensive	Highly Automated	4
2	AutoArm	Manufacturing	Germany	180000	Medium	65	10MAR2019	10SEP2019	Expensive	Moderately Automated	7
3	AgriBot	Agriculture	India	90000	Medium	58	22JUL2021	22JAN2022	Affordable	Moderately Automated	10
4	SentinelX	Defense	Israel	400000	High	80	01DEC2018	01JUN2019	Very Expensive	Highly Automated	1
5	CleanMate	Domestic	Japan	45000	Low	74	05FEB2022	05AUG2022	Affordable	Highly Automated	3
6	LogiBot	Logistics	China	120000	Medium	69	19SEP2020	19MAR2021	Affordable	Moderately Automated	5
7	EduDroid	Education	UK	60000	Low	55	12APR2021	12OCT2021	Affordable	Moderately Automated	11
8	RescueOne	Disaster	USA	300000	High	62	03AUG2019	03FEB2020	Expensive	Moderately Automated	8
9	NanoSurgeon	Healthcare	Switzerland	500000	High	48	28NOV2017	28MAY2018	Very Expensive	Low Automation	13
10	MineRover	Mining	Australia	220000	Medium	51	14MAY2018	14NOV2018	Expensive	Low Automation	12
11	HotelBot	Service	Singapore	75000	Low	66	20JAN2022	20JUL2022	Affordable	Moderately Automated	6
12	FarmAssist	Agriculture	Netherlands	110000	Medium	59	18JUN2020	18DEC2020	Affordable	Moderately Automated	9
13	DefenseAI	Defense	SouthKorea	420000	High	77	11OCT2019	11APR2020	Very Expensive	Highly Automated	2

8.PROC APPEND – ADDITIONAL ROBOT RECORDS

data robotics_new;

    length Robot_Name $20 Usage $20 Country $15 Complexity_Level $10;

    input Robot_Name $ Usage $ Country $ Cost Complexity_Level $ Adoption_Rate Launch_Date :date9.;

    datalines;

SmartGuard Security USA 280000 High 71 02FEB2021

;

run;

proc print data=robotics_new;

run;

OUTPUT:

Obs	Robot_Name	Usage	Country	Complexity_Level	Cost	Adoption_Rate	Launch_Date
1	SmartGuard	Security	USA	High	280000	71	22313

proc append base=robotics_rank 

            data=robotics_new force;

run;

proc print data=robotics_rank;

run;

OUTPUT:

Obs	Robot_Name	Usage	Country	Cost	Complexity_Level	Adoption_Rate	Launch_Date	Review_Date	Cost_Category	Automation_Level	Adoption_Rank
1	RoboMedic	Healthcare	USA	250000	High	72	15JAN2020	15JUL2020	Expensive	Highly Automated	4
2	AutoArm	Manufacturing	Germany	180000	Medium	65	10MAR2019	10SEP2019	Expensive	Moderately Automated	7
3	AgriBot	Agriculture	India	90000	Medium	58	22JUL2021	22JAN2022	Affordable	Moderately Automated	10
4	SentinelX	Defense	Israel	400000	High	80	01DEC2018	01JUN2019	Very Expensive	Highly Automated	1
5	CleanMate	Domestic	Japan	45000	Low	74	05FEB2022	05AUG2022	Affordable	Highly Automated	3
6	LogiBot	Logistics	China	120000	Medium	69	19SEP2020	19MAR2021	Affordable	Moderately Automated	5
7	EduDroid	Education	UK	60000	Low	55	12APR2021	12OCT2021	Affordable	Moderately Automated	11
8	RescueOne	Disaster	USA	300000	High	62	03AUG2019	03FEB2020	Expensive	Moderately Automated	8
9	NanoSurgeon	Healthcare	Switzerland	500000	High	48	28NOV2017	28MAY2018	Very Expensive	Low Automation	13
10	MineRover	Mining	Australia	220000	Medium	51	14MAY2018	14NOV2018	Expensive	Low Automation	12
11	HotelBot	Service	Singapore	75000	Low	66	20JAN2022	20JUL2022	Affordable	Moderately Automated	6
12	FarmAssist	Agriculture	Netherlands	110000	Medium	59	18JUN2020	18DEC2020	Affordable	Moderately Automated	9
13	DefenseAI	Defense	SouthKorea	420000	High	77	11OCT2019	11APR2020	Very Expensive	Highly Automated	2
14	SmartGuard	Security	USA	280000	High	71	02FEB2021	.			.

9.PROC MERGE – COUNTRY METADATA JOIN

data country_info;

    length Country $15 Region $15;

    input Country $ Region $;

    datalines;

USA NorthAmerica

Germany Europe

India Asia

Japan Asia

China Asia

;

run;

proc print data=country_info;

run;

OUTPUT:

Obs	Country	Region
1	USA	NorthAmerica
2	Germany	Europe
3	India	Asia
4	Japan	Asia
5	China	Asia

proc sort data=robotics_rank; by Country; run;

proc print data=robotics_rank;

run;

OUTPUT:

Obs	Robot_Name	Usage	Country	Cost	Complexity_Level	Adoption_Rate	Launch_Date	Review_Date	Cost_Category	Automation_Level	Adoption_Rank
1	MineRover	Mining	Australia	220000	Medium	51	14MAY2018	14NOV2018	Expensive	Low Automation	12
2	LogiBot	Logistics	China	120000	Medium	69	19SEP2020	19MAR2021	Affordable	Moderately Automated	5
3	AutoArm	Manufacturing	Germany	180000	Medium	65	10MAR2019	10SEP2019	Expensive	Moderately Automated	7
4	AgriBot	Agriculture	India	90000	Medium	58	22JUL2021	22JAN2022	Affordable	Moderately Automated	10
5	SentinelX	Defense	Israel	400000	High	80	01DEC2018	01JUN2019	Very Expensive	Highly Automated	1
6	CleanMate	Domestic	Japan	45000	Low	74	05FEB2022	05AUG2022	Affordable	Highly Automated	3
7	FarmAssist	Agriculture	Netherlands	110000	Medium	59	18JUN2020	18DEC2020	Affordable	Moderately Automated	9
8	HotelBot	Service	Singapore	75000	Low	66	20JAN2022	20JUL2022	Affordable	Moderately Automated	6
9	DefenseAI	Defense	SouthKorea	420000	High	77	11OCT2019	11APR2020	Very Expensive	Highly Automated	2
10	NanoSurgeon	Healthcare	Switzerland	500000	High	48	28NOV2017	28MAY2018	Very Expensive	Low Automation	13
11	EduDroid	Education	UK	60000	Low	55	12APR2021	12OCT2021	Affordable	Moderately Automated	11
12	RoboMedic	Healthcare	USA	250000	High	72	15JAN2020	15JUL2020	Expensive	Highly Automated	4
13	RescueOne	Disaster	USA	300000	High	62	03AUG2019	03FEB2020	Expensive	Moderately Automated	8
14	SmartGuard	Security	USA	280000	High	71	02FEB2021	.			.

proc sort data=country_info; by Country; run;

proc print data=robotics_info;

run;

OUTPUT:

Obs	Country	Region
1	China	Asia
2	Germany	Europe
3	India	Asia
4	Japan	Asia
5	USA	NorthAmerica

data robotics_merged;

    merge robotics_rank(in=a) country_info(in=b);

    by Country;

    if a;

run;

proc print data=robotics_merged;

run;

OUTPUT:

Obs	Robot_Name	Usage	Country	Cost	Complexity_Level	Adoption_Rate	Launch_Date	Review_Date	Cost_Category	Automation_Level	Adoption_Rank	Region
1	MineRover	Mining	Australia	220000	Medium	51	14MAY2018	14NOV2018	Expensive	Low Automation	12
2	LogiBot	Logistics	China	120000	Medium	69	19SEP2020	19MAR2021	Affordable	Moderately Automated	5	Asia
3	AutoArm	Manufacturing	Germany	180000	Medium	65	10MAR2019	10SEP2019	Expensive	Moderately Automated	7	Europe
4	AgriBot	Agriculture	India	90000	Medium	58	22JUL2021	22JAN2022	Affordable	Moderately Automated	10	Asia
5	SentinelX	Defense	Israel	400000	High	80	01DEC2018	01JUN2019	Very Expensive	Highly Automated	1
6	CleanMate	Domestic	Japan	45000	Low	74	05FEB2022	05AUG2022	Affordable	Highly Automated	3	Asia
7	FarmAssist	Agriculture	Netherlands	110000	Medium	59	18JUN2020	18DEC2020	Affordable	Moderately Automated	9
8	HotelBot	Service	Singapore	75000	Low	66	20JAN2022	20JUL2022	Affordable	Moderately Automated	6
9	DefenseAI	Defense	SouthKorea	420000	High	77	11OCT2019	11APR2020	Very Expensive	Highly Automated	2
10	NanoSurgeon	Healthcare	Switzerland	500000	High	48	28NOV2017	28MAY2018	Very Expensive	Low Automation	13
11	EduDroid	Education	UK	60000	Low	55	12APR2021	12OCT2021	Affordable	Moderately Automated	11
12	RoboMedic	Healthcare	USA	250000	High	72	15JAN2020	15JUL2020	Expensive	Highly Automated	4	NorthAmerica
13	RescueOne	Disaster	USA	300000	High	62	03AUG2019	03FEB2020	Expensive	Moderately Automated	8	NorthAmerica
14	SmartGuard	Security	USA	280000	High	71	02FEB2021	.			.	NorthAmerica

10.PROC TRANSPOSE – ADOPTION RATE VIEW

proc transpose data=robotics_merged out=robotics_transpose prefix=Robot_;

    by Country;

    var Adoption_Rate;

run;

proc print data=robotics_transpose;

run;

OUTPUT:

Obs	Country	_NAME_	Robot_1	Robot_2	Robot_3
1	Australia	Adoption_Rate	51	.	.
2	China	Adoption_Rate	69	.	.
3	Germany	Adoption_Rate	65	.	.
4	India	Adoption_Rate	58	.	.
5	Israel	Adoption_Rate	80	.	.
6	Japan	Adoption_Rate	74	.	.
7	Netherlands	Adoption_Rate	59	.	.
8	Singapore	Adoption_Rate	66	.	.
9	SouthKorea	Adoption_Rate	77	.	.
10	Switzerland	Adoption_Rate	48	.	.
11	UK	Adoption_Rate	55	.	.
12	USA	Adoption_Rate	72	62	71

YESTERDAY'S QUESTION:

12.PROC MEANS

proc means data=safari_zones;

    var Animals_Count Tourists Revenue;

    group by Zone_Name;

run;

**GROUP BY is not supported in PROC MEANS

proc means data=safari_zones;

    var Animals_Count Tourists Revenue;

    class Zone_Name;

run;

**CLASS is  supported in PROC MEANS

/* Note: In practice above there is an Invalid in this code Find it,Correct it and Use it /*

OUTPUT:

The MEANS Procedure

Zone_Name	N Obs	Variable	N	Mean	Std Dev	Minimum	Maximum
Bandipur	1	Animals_Count Tourists Revenue	1 1 1	1100.00 410000.00 78.0000000	. . .	1100.00 410000.00 78.0000000	1100.00 410000.00 78.0000000
GirForest	1	Animals_Count Tourists Revenue	1 1 1	900.0000000 380000.00 70.0000000	. . .	900.0000000 380000.00 70.0000000	900.0000000 380000.00 70.0000000
JimCorbett	1	Animals_Count Tourists Revenue	1 1 1	1500.00 520000.00 95.0000000	. . .	1500.00 520000.00 95.0000000	1500.00 520000.00 95.0000000
Kaziranga	1	Animals_Count Tourists Revenue	1 1 1	1800.00 610000.00 110.0000000	. . .	1800.00 610000.00 110.0000000	1800.00 610000.00 110.0000000
Manas	1	Animals_Count Tourists Revenue	1 1 1	1350.00 330000.00 68.0000000	. . .	1350.00 330000.00 68.0000000	1350.00 330000.00 68.0000000
Nagarhole	1	Animals_Count Tourists Revenue	1 1 1	1150.00 360000.00 74.0000000	. . .	1150.00 360000.00 74.0000000	1150.00 360000.00 74.0000000
Pench	1	Animals_Count Tourists Revenue	1 1 1	980.0000000 310000.00 65.0000000	. . .	980.0000000 310000.00 65.0000000	980.0000000 310000.00 65.0000000
Periyar	1	Animals_Count Tourists Revenue	1 1 1	950.0000000 290000.00 60.0000000	. . .	950.0000000 290000.00 60.0000000	950.0000000 290000.00 60.0000000
Ranthambore	1	Animals_Count Tourists Revenue	1 1 1	1200.00 450000.00 85.0000000	. . .	1200.00 450000.00 85.0000000	1200.00 450000.00 85.0000000
Satpura	1	Animals_Count Tourists Revenue	1 1 1	1050.00 270000.00 55.0000000	. . .	1050.00 270000.00 55.0000000	1050.00 270000.00 55.0000000
Sundarbans	1	Animals_Count Tourists Revenue	1 1 1	1600.00 470000.00 105.0000000	. . .	1600.00 470000.00 105.0000000	1600.00 470000.00 105.0000000
Tadoba	1	Animals_Count Tourists Revenue	1 1 1	1250.00 340000.00 72.0000000	. . .	1250.00 340000.00 72.0000000	1250.00 340000.00 72.0000000
Valmiki	1	Animals_Count Tourists Revenue	1 1 1	850.0000000 220000.00 48.0000000	. . .	850.0000000 220000.00 48.0000000	850.0000000 220000.00 48.0000000

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