280.CAN SAS ANALYZE A FISH DATASET USING BASIC PROCS AND MACROS?

CAN SAS ANALYZE A FISH DATASET USING BASIC PROCS AND MACROS?

 /*Creating The Dataset Of Fishes In India*/

1.SAS Dataset Creation

options nocenter;

data indian_fish;

    length Fish_Name $30 Type $15 Scientific_Name $40 Region $30;

    input Fish_Name $ Type $ Scientific_Name $ Region $ Max_Length Avg_Weight 

          Market_Price;

    datalines;

Rawas Saltwater Polynemus_tetradactylum West_Coast 120 8 400

Rohu Freshwater Labeo_rohita Ganges_Basin 75 5 250

Catla Freshwater Catla_catla East_India 80 7 220

Bangda Saltwater Rastrelliger_kanagurta Western_Coast 35 0.25 200

Surmai Saltwater Scomberomorus_commerson South_India 100 10 500

Pomfret Saltwater Pampus_argenteus All_coasts 60 2 600

Hilsa Freshwater Tenualosa_ilisha East_India 50 1.2 700

Rani Freshwater Pristolepis_marginata Central_India 30 0.5 180

Flower_Prawn Saltwater Penaeus_semisulcatus Kerala 18 0.2 800

Mud_Crab Brackish Scylla_serrata South_India 20 1 900

;

run;

proc print data=indian_fish;

run;

Output:

Obs	Fish_Name	Type	Scientific_Name	Region	Max_Length	Avg_Weight	Market_Price
1	Rawas	Saltwater	Polynemus_tetradactylum	West_Coast	120	8.00	400
2	Rohu	Freshwater	Labeo_rohita	Ganges_Basin	75	5.00	250
3	Catla	Freshwater	Catla_catla	East_India	80	7.00	220
4	Bangda	Saltwater	Rastrelliger_kanagurta	Western_Coast	35	0.25	200
5	Surmai	Saltwater	Scomberomorus_commerson	South_India	100	10.00	500
6	Pomfret	Saltwater	Pampus_argenteus	All_coasts	60	2.00	600
7	Hilsa	Freshwater	Tenualosa_ilisha	East_India	50	1.20	700
8	Rani	Freshwater	Pristolepis_marginata	Central_India	30	0.50	180
9	Flower_Prawn	Saltwater	Penaeus_semisulcatus	Kerala	18	0.20	800
10	Mud_Crab	Brackish	Scylla_serrata	South_India	20	1.00	900

2.Descriptive Statistics using PROC MEANS

proc means data=indian_fish;

    var Max_Length Avg_Weight Market_Price;

run;

Output:

The MEANS Procedure

Variable	N	Mean	Std Dev	Minimum	Maximum
Max_Length Avg_Weight Market_Price	10 10 10	58.8000000 3.5150000 475.0000000	34.6403746 3.6703050 266.0513735	18.0000000 0.2000000 180.0000000	120.0000000 10.0000000 900.0000000

3.Data Filtering using PROC SQL

proc sql;

    select Fish_Name, Type, Avg_Weight, Market_Price

    from indian_fish

    where Market_Price > 500;

quit;

Output:

Fish_Name	Type	Avg_Weight	Market_Price
Pomfret	Saltwater	2	600
Hilsa	Freshwater	1.2	700
Flower_Prawn	Saltwater	0.2	800
Mud_Crab	Brackish	1	900

4.Frequency Distribution using PROC FREQ

proc freq data=indian_fish;

    tables Type;

run;

Output:

The FREQ Procedure

Type	Frequency	Percent	Cumulative Frequency	Cumulative Percent
Brackish	1	10.00	1	10.00
Freshwater	4	40.00	5	50.00
Saltwater	5	50.00	10	100.00

5.Macro for Regional Analysis

%macro region_fish(region);

    proc sql;

        select Fish_Name, Market_Price

        from indian_fish

        where Region = "&region";

    quit;

%mend region_fish;

%region_fish(East_India);

Output:

Fish_Name	Market_Price
Catla	220
Hilsa	700

6.Sorting by Market Price

proc sort data=indian_fish out=sorted_fish;

    by descending Market_Price;

run;

proc print;run;

Output:

Obs	Fish_Name	Type	Scientific_Name	Region	Max_Length	Avg_Weight	Market_Price
1	Mud_Crab	Brackish	Scylla_serrata	South_India	20	1.00	900
2	Flower_Prawn	Saltwater	Penaeus_semisulcatus	Kerala	18	0.20	800
3	Hilsa	Freshwater	Tenualosa_ilisha	East_India	50	1.20	700
4	Pomfret	Saltwater	Pampus_argenteus	All_coasts	60	2.00	600
5	Surmai	Saltwater	Scomberomorus_commerson	South_India	100	10.00	500
6	Rawas	Saltwater	Polynemus_tetradactylum	West_Coast	120	8.00	400
7	Rohu	Freshwater	Labeo_rohita	Ganges_Basin	75	5.00	250
8	Catla	Freshwater	Catla_catla	East_India	80	7.00	220
9	Bangda	Saltwater	Rastrelliger_kanagurta	Western_Coast	35	0.25	200
10	Rani	Freshwater	Pristolepis_marginata	Central_India	30	0.50	180

7.Generating Report

proc report data=sorted_fish nowd;

    columns Fish_Name Region Type Market_Price;

run;

Output:

Fish_Name	Region	Type	Market_Price
Mud_Crab	South_India	Brackish	900
Flower_Prawn	Kerala	Saltwater	800
Hilsa	East_India	Freshwater	700
Pomfret	All_coasts	Saltwater	600
Surmai	South_India	Saltwater	500
Rawas	West_Coast	Saltwater	400
Rohu	Ganges_Basin	Freshwater	250
Catla	East_India	Freshwater	220
Bangda	Western_Coast	Saltwater	200
Rani	Central_India	Freshwater	180

8.PROC UNIVARIATE for Distribution Study

proc univariate data=indian_fish;

    var Avg_Weight;

run;

Output:

The UNIVARIATE Procedure

Variable: Avg_Weight

Moments
N	10	Sum Weights	10
Mean	3.515	Sum Observations	35.15
Std Deviation	3.67030501	Variance	13.4711389
Skewness	0.78123341	Kurtosis	-1.0719786
Uncorrected SS	244.7925	Corrected SS	121.24025
Coeff Variation	104.41835	Std Error Mean	1.16065235

Basic Statistical Measures
Location		Variability
Mean	3.515000	Std Deviation	3.67031
Median	1.600000	Variance	13.47114
Mode	.	Range	9.80000
		Interquartile Range	6.50000

Tests for Location: Mu0=0
Test	Statistic		p Value
Student's t	t	3.028469	Pr > |t|	0.0143
Sign	M	5	Pr >= |M|	0.0020
Signed Rank	S	27.5	Pr >= |S|	0.0020

Quantiles (Definition 5)
Level	Quantile
100% Max	10.000
99%	10.000
95%	10.000
90%	9.000
75% Q3	7.000
50% Median	1.600
25% Q1	0.500
10%	0.225
5%	0.200
1%	0.200
0% Min	0.200

Extreme Observations
Lowest		Highest
Value	Obs	Value	Obs
0.20	9	2	6
0.25	4	5	2
0.50	8	7	3
1.00	10	8	1
1.20	7	10	5

9.Using PROC PRINT for Quick Data View

proc print data=indian_fish;

    where Type = 'Freshwater';

run;

Output:

Obs	Fish_Name	Type	Scientific_Name	Region	Max_Length	Avg_Weight	Market_Price
2	Rohu	Freshwater	Labeo_rohita	Ganges_Basin	75	5.0	250
3	Catla	Freshwater	Catla_catla	East_India	80	7.0	220
7	Hilsa	Freshwater	Tenualosa_ilisha	East_India	50	1.2	700
8	Rani	Freshwater	Pristolepis_marginata	Central_India	30	0.5	180

10.Macro for Automated Summaries Across Regions

%macro summary_by_region;

    proc sql noprint;

        select distinct Region into :regions separated by ' '

        from indian_fish;

    quit;

    %let num = %sysfunc(countw(&regions));

    %do i=1 %to #

        %let r=%scan(&regions, &i);

        proc means data=indian_fish n min max mean;

            where Region="&r";

            var Max_Length Market_Price;

            title "Summary Statistics for &r";

        run;

    %end;

%mend summary_by_region;

%summary_by_region

Output:

Summary Statistics for All_coasts

The MEANS Procedure

Variable	N	Minimum	Maximum	Mean
Max_Length Market_Price	1 1	60.0000000 600.0000000	60.0000000 600.0000000	60.0000000 600.0000000

Summary Statistics for Central_India

The MEANS Procedure

Variable	N	Minimum	Maximum	Mean
Max_Length Market_Price	1 1	30.0000000 180.0000000	30.0000000 180.0000000	30.0000000 180.0000000

Summary Statistics for East_India

The MEANS Procedure

Variable	N	Minimum	Maximum	Mean
Max_Length Market_Price	2 2	50.0000000 220.0000000	80.0000000 700.0000000	65.0000000 460.0000000

Summary Statistics for Ganges_Basin

The MEANS Procedure

Variable	N	Minimum	Maximum	Mean
Max_Length Market_Price	1 1	75.0000000 250.0000000	75.0000000 250.0000000	75.0000000 250.0000000

Summary Statistics for Kerala

The MEANS Procedure

Variable	N	Minimum	Maximum	Mean
Max_Length Market_Price	1 1	18.0000000 800.0000000	18.0000000 800.0000000	18.0000000 800.0000000

Summary Statistics for South_India

The MEANS Procedure

Variable	N	Minimum	Maximum	Mean
Max_Length Market_Price	2 2	20.0000000 500.0000000	100.0000000 900.0000000	60.0000000 700.0000000

Summary Statistics for West_Coast

The MEANS Procedure

Variable	N	Minimum	Maximum	Mean
Max_Length Market_Price	1 1	120.0000000 400.0000000	120.0000000 400.0000000	120.0000000 400.0000000

Summary Statistics for Western_Coast

The MEANS Procedure

Variable	N	Minimum	Maximum	Mean
Max_Length Market_Price	1 1	35.0000000 200.0000000	35.0000000 200.0000000	35.0000000 200.0000000

11.Creating New Variables with DATA Step

data fish_value;

    set indian_fish;

    Value_Class = (Market_Price >= 500);

run;

proc print;run;

Output:

Obs	Fish_Name	Type	Scientific_Name	Region	Max_Length	Avg_Weight	Market_Price	Value_Class
1	Rawas	Saltwater	Polynemus_tetradactylum	West_Coast	120	8.00	400	0
2	Rohu	Freshwater	Labeo_rohita	Ganges_Basin	75	5.00	250	0
3	Catla	Freshwater	Catla_catla	East_India	80	7.00	220	0
4	Bangda	Saltwater	Rastrelliger_kanagurta	Western_Coast	35	0.25	200	0
5	Surmai	Saltwater	Scomberomorus_commerson	South_India	100	10.00	500	1
6	Pomfret	Saltwater	Pampus_argenteus	All_coasts	60	2.00	600	1
7	Hilsa	Freshwater	Tenualosa_ilisha	East_India	50	1.20	700	1
8	Rani	Freshwater	Pristolepis_marginata	Central_India	30	0.50	180	0
9	Flower_Prawn	Saltwater	Penaeus_semisulcatus	Kerala	18	0.20	800	1
10	Mud_Crab	Brackish	Scylla_serrata	South_India	20	1.00	900	1

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