264.TEMPLES OF INDIA DATASET ANALYSIS USING PROC PRINT | PROC CONTENTS | PROC SORT | PROC FREQ | PROC MEANS | PROC SQL | PROC TABULATE | PROC REPORT | PROC TRANSPOSE | PROC FORMAT | PROC RANK | PROC SGPLOT | MACROS

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238.COMPREHENSIVE SCHOOL CLASS PERFORMANCE ANALYSIS USING SAS PROCS, SQL, AND MACROS: A DATA-DRIVEN APPROACH TO EVALUATE SUBJECT-WISE SCORES, STRENGTH, AND TEACHER ALLOCATIONS ACROSS MULTIPLE GRADES

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COMPREHENSIVE SCHOOL CLASS PERFORMANCE ANALYSIS USING SAS PROCS, SQL, AND MACROS: A DATA-DRIVEN APPROACH TO EVALUATE SUBJECT-WISE SCORES, STRENGTH, AND TEACHER ALLOCATIONS ACROSS MULTIPLE GRADES 

/*Creating A Dataset Classes Of School*/

Step 1: Creating the Dataset

options nocenter;

data School_Classes;

    length ClassName $10 Section $2 Subject $20 ClassTeacher $20 

           PeriodTime $15 ClassroomNo $5 Building $10;

    input ClassName $ Section $ Subject $ ClassTeacher $ PeriodTime $ 

          ClassroomNo $ Building $ Strength AvgScore PassRate;

    datalines;

Grade1 A Math Mr.Sharma 9:00-9:45 A101 BlockA 30 78.5 90

Grade1 B English Mrs.Verma 10:00-10:45 A102 BlockA 32 82.0 95

Grade1 C Science Mr.Patil 11:00-11:45 A103 BlockA 28 75.4 85

Grade2 A Math Ms.Rao 9:00-9:45 B101 BlockB 35 80.2 93

Grade2 B English Mr.Joseph 10:00-10:45 B102 BlockB 33 85.6 96

Grade2 C Science Mrs.Pinto 11:00-11:45 B103 BlockB 31 79.3 91

Grade3 A Math Mr.Kumar 9:00-9:45 C101 BlockC 29 83.7 94

Grade3 B English Ms.Sonia 10:00-10:45 C102 BlockC 30 84.8 97

Grade3 C Science Mrs.Ruby 11:00-11:45 C103 BlockC 34 81.2 92

Grade4 A Math Mr.Vijay 9:00-9:45 D101 BlockD 36 79.9 89

Grade4 B English Mr.Naresh 10:00-10:45 D102 BlockD 33 87.4 96

Grade4 C Science Ms.Latha 11:00-11:45 D103 BlockD 32 76.8 87

Grade5 A Math Mrs.Isha 9:00-9:45 E101 BlockE 31 81.6 93

Grade5 B English Mr.David 10:00-10:45 E102 BlockE 34 89.0 98

Grade5 C Science Ms.Reema 11:00-11:45 E103 BlockE 30 77.1 90

Grade6 A Math Mr.Manoj 9:00-9:45 F101 BlockF 28 80.4 91

Grade6 B English Ms.Lavanya 10:00-10:45 F102 BlockF 29 86.2 95

Grade6 C Science Mr.Murthy 11:00-11:45 F103 BlockF 30 82.9 94

Grade7 A Math Mr.Amit 9:00-9:45 G101 BlockG 32 78.6 90

Grade7 B English Mrs.Maya 10:00-10:45 G102 BlockG 31 85.5 96

Grade7 C Science Ms.Tanya 11:00-11:45 G103 BlockG 33 79.5 89

Grade8 A Math Mr.Ganesh 9:00-9:45 H101 BlockH 35 83.2 92

Grade8 B English Mr.Vinod 10:00-10:45 H102 BlockH 30 88.4 97

Grade8 C Science Mrs.Anuja 11:00-11:45 H103 BlockH 31 81.5 93

Grade9 A Math Mr.Ram 9:00-9:45 I101 BlockI 33 84.0 94

Grade9 B English Ms.Nithya 10:00-10:45 I102 BlockI 29 90.1 99

Grade9 C Science Mr.Tom 11:00-11:45 I103 BlockI 30 79.0 88

;

run;

proc print;run;

Output:

Obs ClassName Section Subject ClassTeacher PeriodTime ClassroomNo Building Strength AvgScore PassRate
1 Grade1 A Math Mr.Sharma 9:00-9:45 A101 BlockA 30 78.5 90
2 Grade1 B English Mrs.Verma 10:00-10:45 A102 BlockA 32 82.0 95
3 Grade1 C Science Mr.Patil 11:00-11:45 A103 BlockA 28 75.4 85
4 Grade2 A Math Ms.Rao 9:00-9:45 B101 BlockB 35 80.2 93
5 Grade2 B English Mr.Joseph 10:00-10:45 B102 BlockB 33 85.6 96
6 Grade2 C Science Mrs.Pinto 11:00-11:45 B103 BlockB 31 79.3 91
7 Grade3 A Math Mr.Kumar 9:00-9:45 C101 BlockC 29 83.7 94
8 Grade3 B English Ms.Sonia 10:00-10:45 C102 BlockC 30 84.8 97
9 Grade3 C Science Mrs.Ruby 11:00-11:45 C103 BlockC 34 81.2 92
10 Grade4 A Math Mr.Vijay 9:00-9:45 D101 BlockD 36 79.9 89
11 Grade4 B English Mr.Naresh 10:00-10:45 D102 BlockD 33 87.4 96
12 Grade4 C Science Ms.Latha 11:00-11:45 D103 BlockD 32 76.8 87
13 Grade5 A Math Mrs.Isha 9:00-9:45 E101 BlockE 31 81.6 93
14 Grade5 B English Mr.David 10:00-10:45 E102 BlockE 34 89.0 98
15 Grade5 C Science Ms.Reema 11:00-11:45 E103 BlockE 30 77.1 90
16 Grade6 A Math Mr.Manoj 9:00-9:45 F101 BlockF 28 80.4 91
17 Grade6 B English Ms.Lavanya 10:00-10:45 F102 BlockF 29 86.2 95
18 Grade6 C Science Mr.Murthy 11:00-11:45 F103 BlockF 30 82.9 94
19 Grade7 A Math Mr.Amit 9:00-9:45 G101 BlockG 32 78.6 90
20 Grade7 B English Mrs.Maya 10:00-10:45 G102 BlockG 31 85.5 96
21 Grade7 C Science Ms.Tanya 11:00-11:45 G103 BlockG 33 79.5 89
22 Grade8 A Math Mr.Ganesh 9:00-9:45 H101 BlockH 35 83.2 92
23 Grade8 B English Mr.Vinod 10:00-10:45 H102 BlockH 30 88.4 97
24 Grade8 C Science Mrs.Anuja 11:00-11:45 H103 BlockH 31 81.5 93
25 Grade9 A Math Mr.Ram 9:00-9:45 I101 BlockI 33 84.0 94
26 Grade9 B English Ms.Nithya 10:00-10:45 I102 BlockI 29 90.1 99
27 Grade9 C Science Mr.Tom 11:00-11:45 I103 BlockI 30 79.0 88


Step 2: Data Inspection – PROC PRINT and PROC CONTENTS

proc print data=School_Classes noobs;

    title "Complete School Classes Dataset";

run;

Output:

Complete School Classes Dataset

ClassName Section Subject ClassTeacher PeriodTime ClassroomNo Building Strength AvgScore PassRate
Grade1 A Math Mr.Sharma 9:00-9:45 A101 BlockA 30 78.5 90
Grade1 B English Mrs.Verma 10:00-10:45 A102 BlockA 32 82.0 95
Grade1 C Science Mr.Patil 11:00-11:45 A103 BlockA 28 75.4 85
Grade2 A Math Ms.Rao 9:00-9:45 B101 BlockB 35 80.2 93
Grade2 B English Mr.Joseph 10:00-10:45 B102 BlockB 33 85.6 96
Grade2 C Science Mrs.Pinto 11:00-11:45 B103 BlockB 31 79.3 91
Grade3 A Math Mr.Kumar 9:00-9:45 C101 BlockC 29 83.7 94
Grade3 B English Ms.Sonia 10:00-10:45 C102 BlockC 30 84.8 97
Grade3 C Science Mrs.Ruby 11:00-11:45 C103 BlockC 34 81.2 92
Grade4 A Math Mr.Vijay 9:00-9:45 D101 BlockD 36 79.9 89
Grade4 B English Mr.Naresh 10:00-10:45 D102 BlockD 33 87.4 96
Grade4 C Science Ms.Latha 11:00-11:45 D103 BlockD 32 76.8 87
Grade5 A Math Mrs.Isha 9:00-9:45 E101 BlockE 31 81.6 93
Grade5 B English Mr.David 10:00-10:45 E102 BlockE 34 89.0 98
Grade5 C Science Ms.Reema 11:00-11:45 E103 BlockE 30 77.1 90
Grade6 A Math Mr.Manoj 9:00-9:45 F101 BlockF 28 80.4 91
Grade6 B English Ms.Lavanya 10:00-10:45 F102 BlockF 29 86.2 95
Grade6 C Science Mr.Murthy 11:00-11:45 F103 BlockF 30 82.9 94
Grade7 A Math Mr.Amit 9:00-9:45 G101 BlockG 32 78.6 90
Grade7 B English Mrs.Maya 10:00-10:45 G102 BlockG 31 85.5 96
Grade7 C Science Ms.Tanya 11:00-11:45 G103 BlockG 33 79.5 89
Grade8 A Math Mr.Ganesh 9:00-9:45 H101 BlockH 35 83.2 92
Grade8 B English Mr.Vinod 10:00-10:45 H102 BlockH 30 88.4 97
Grade8 C Science Mrs.Anuja 11:00-11:45 H103 BlockH 31 81.5 93
Grade9 A Math Mr.Ram 9:00-9:45 I101 BlockI 33 84.0 94
Grade9 B English Ms.Nithya 10:00-10:45 I102 BlockI 29 90.1 99
Grade9 C Science Mr.Tom 11:00-11:45 I103 BlockI 30 79.0 88


proc contents data=School_Classes;

    title "Variable Metadata of School_Classes Dataset";

run;

Output:

Variable Metadata of School_Classes Dataset

The CONTENTS Procedure

Data Set Name WORK.SCHOOL_CLASSES Observations 27
Member Type DATA Variables 10
Engine V9 Indexes 0
Created 14/09/2015 00:27:48 Observation Length 112
Last Modified 14/09/2015 00:27:48 Deleted Observations 0
Protection   Compressed NO
Data Set Type   Sorted NO
Label      
Data Representation WINDOWS_64    
Encoding wlatin1 Western (Windows)    

Engine/Host Dependent Information
Data Set Page Size 65536
Number of Data Set Pages 1
First Data Page 1
Max Obs per Page 584
Obs in First Data Page 27
Number of Data Set Repairs 0
ExtendObsCounter YES
Filename C:\Users\Lenovo\AppData\Local\Temp\SAS Temporary Files\_TD576_DESKTOP-QFAA4KV_\school_classes.sas7bdat
Release Created 9.0401M2
Host Created X64_8HOME

Alphabetic List of Variables and Attributes
# Variable Type Len
9 AvgScore Num 8
7 Building Char 10
1 ClassName Char 10
4 ClassTeacher Char 20
6 ClassroomNo Char 5
10 PassRate Num 8
5 PeriodTime Char 15
2 Section Char 2
8 Strength Num 8
3 Subject Char 20

Step 3: Frequency Analysis – PROC FREQ

proc freq data=School_Classes;

    tables ClassName Section Subject Building;

    title "Frequency Distribution of Class Variables";

run;

Output:

Frequency Distribution of Class Variables

The FREQ Procedure

ClassName Frequency Percent Cumulative
Frequency		 Cumulative
Percent
Grade1 3 11.11 3 11.11
Grade2 3 11.11 6 22.22
Grade3 3 11.11 9 33.33
Grade4 3 11.11 12 44.44
Grade5 3 11.11 15 55.56
Grade6 3 11.11 18 66.67
Grade7 3 11.11 21 77.78
Grade8 3 11.11 24 88.89
Grade9 3 11.11 27 100.00

Section Frequency Percent Cumulative
Frequency		 Cumulative
Percent
A 9 33.33 9 33.33
B 9 33.33 18 66.67
C 9 33.33 27 100.00

Subject Frequency Percent Cumulative
Frequency		 Cumulative
Percent
English 9 33.33 9 33.33
Math 9 33.33 18 66.67
Science 9 33.33 27 100.00

Building Frequency Percent Cumulative
Frequency		 Cumulative
Percent
BlockA 3 11.11 3 11.11
BlockB 3 11.11 6 22.22
BlockC 3 11.11 9 33.33
BlockD 3 11.11 12 44.44
BlockE 3 11.11 15 55.56
BlockF 3 11.11 18 66.67
BlockG 3 11.11 21 77.78
BlockH 3 11.11 24 88.89
BlockI 3 11.11 27 100.00

Step 4: Descriptive Stats – PROC MEANS

proc means data=School_Classes mean std min max maxdec=2;

    var Strength AvgScore PassRate;

    class Subject;

    title "Subject-wise Summary Statistics";

run;

Output:

Subject-wise Summary Statistics

The MEANS Procedure

Subject N Obs Variable Mean Std Dev Minimum Maximum
English 9
Strength
AvgScore
PassRate
31.22
86.56
96.56
1.86
2.47
1.33
29.00
82.00
95.00
34.00
90.10
99.00
Math 9
Strength
AvgScore
PassRate
32.11
81.12
91.78
2.85
2.11
1.86
28.00
78.50
89.00
36.00
84.00
94.00
Science 9
Strength
AvgScore
PassRate
31.00
79.19
89.89
1.80
2.44
2.93
28.00
75.40
85.00
34.00
82.90
94.00

Step 5: Sorting the Data – PROC SORT

proc sort data=School_Classes out=Sorted_Classes;

    by descending AvgScore;

run;


proc print data=Sorted_Classes (obs=10);

    title "Top 10 Classes by Average Score";

run;

 Output:

Top 10 Classes by Average Score

Obs ClassName Section Subject ClassTeacher PeriodTime ClassroomNo Building Strength AvgScore PassRate
1 Grade9 B English Ms.Nithya 10:00-10:45 I102 BlockI 29 90.1 99
2 Grade5 B English Mr.David 10:00-10:45 E102 BlockE 34 89.0 98
3 Grade8 B English Mr.Vinod 10:00-10:45 H102 BlockH 30 88.4 97
4 Grade4 B English Mr.Naresh 10:00-10:45 D102 BlockD 33 87.4 96
5 Grade6 B English Ms.Lavanya 10:00-10:45 F102 BlockF 29 86.2 95
6 Grade2 B English Mr.Joseph 10:00-10:45 B102 BlockB 33 85.6 96
7 Grade7 B English Mrs.Maya 10:00-10:45 G102 BlockG 31 85.5 96
8 Grade3 B English Ms.Sonia 10:00-10:45 C102 BlockC 30 84.8 97
9 Grade9 A Math Mr.Ram 9:00-9:45 I101 BlockI 33 84.0 94
10 Grade3 A Math Mr.Kumar 9:00-9:45 C101 BlockC 29 83.7 94

Step 6: Using PROC FORMAT for better readability

proc format;

    value scorefmt

        low-79 = 'Needs Improvement'

        80-89  = 'Satisfactory'

        90-high = 'Excellent';

run;


data Formatted_Classes;

    set School_Classes;

    Score_Category = put(AvgScore, scorefmt.);

run;

proc print;run;

Output:

Obs ClassName Section Subject ClassTeacher PeriodTime ClassroomNo Building Strength AvgScore PassRate Score_Category
1 Grade1 A Math Mr.Sharma 9:00-9:45 A101 BlockA 30 78.5 90 Needs Improvement
2 Grade1 B English Mrs.Verma 10:00-10:45 A102 BlockA 32 82.0 95 Satisfactory
3 Grade1 C Science Mr.Patil 11:00-11:45 A103 BlockA 28 75.4 85 Needs Improvement
4 Grade2 A Math Ms.Rao 9:00-9:45 B101 BlockB 35 80.2 93 Satisfactory
5 Grade2 B English Mr.Joseph 10:00-10:45 B102 BlockB 33 85.6 96 Satisfactory
6 Grade2 C Science Mrs.Pinto 11:00-11:45 B103 BlockB 31 79.3 91 79.3
7 Grade3 A Math Mr.Kumar 9:00-9:45 C101 BlockC 29 83.7 94 Satisfactory
8 Grade3 B English Ms.Sonia 10:00-10:45 C102 BlockC 30 84.8 97 Satisfactory
9 Grade3 C Science Mrs.Ruby 11:00-11:45 C103 BlockC 34 81.2 92 Satisfactory
10 Grade4 A Math Mr.Vijay 9:00-9:45 D101 BlockD 36 79.9 89 79.9
11 Grade4 B English Mr.Naresh 10:00-10:45 D102 BlockD 33 87.4 96 Satisfactory
12 Grade4 C Science Ms.Latha 11:00-11:45 D103 BlockD 32 76.8 87 Needs Improvement
13 Grade5 A Math Mrs.Isha 9:00-9:45 E101 BlockE 31 81.6 93 Satisfactory
14 Grade5 B English Mr.David 10:00-10:45 E102 BlockE 34 89.0 98 Satisfactory
15 Grade5 C Science Ms.Reema 11:00-11:45 E103 BlockE 30 77.1 90 Needs Improvement
16 Grade6 A Math Mr.Manoj 9:00-9:45 F101 BlockF 28 80.4 91 Satisfactory
17 Grade6 B English Ms.Lavanya 10:00-10:45 F102 BlockF 29 86.2 95 Satisfactory
18 Grade6 C Science Mr.Murthy 11:00-11:45 F103 BlockF 30 82.9 94 Satisfactory
19 Grade7 A Math Mr.Amit 9:00-9:45 G101 BlockG 32 78.6 90 Needs Improvement
20 Grade7 B English Mrs.Maya 10:00-10:45 G102 BlockG 31 85.5 96 Satisfactory
21 Grade7 C Science Ms.Tanya 11:00-11:45 G103 BlockG 33 79.5 89 79.5
22 Grade8 A Math Mr.Ganesh 9:00-9:45 H101 BlockH 35 83.2 92 Satisfactory
23 Grade8 B English Mr.Vinod 10:00-10:45 H102 BlockH 30 88.4 97 Satisfactory
24 Grade8 C Science Mrs.Anuja 11:00-11:45 H103 BlockH 31 81.5 93 Satisfactory
25 Grade9 A Math Mr.Ram 9:00-9:45 I101 BlockI 33 84.0 94 Satisfactory
26 Grade9 B English Ms.Nithya 10:00-10:45 I102 BlockI 29 90.1 99 Excellent
27 Grade9 C Science Mr.Tom 11:00-11:45 I103 BlockI 30 79.0 88 Needs Improvement

proc freq data=Formatted_Classes;

    tables Score_Category;

    title "Score Category Distribution";

run;

Output:

Score Category Distribution

The FREQ Procedure

Score_Category Frequency Percent Cumulative
Frequency		 Cumulative
Percent
79.3 1 3.70 1 3.70
79.5 1 3.70 2 7.41
79.9 1 3.70 3 11.11
Excellent 1 3.70 4 14.81
Needs Improvement 6 22.22 10 37.04
Satisfactory 17 62.96 27 100.00

Step 7: Using PROC SQL for queries

a) Average Score per Subject

proc sql;

    select Subject, avg(AvgScore) as MeanScore format=5.2

    from School_Classes

    group by Subject;

quit;

Output:

Subject MeanScore
English 86.56
Math 81.12
Science 79.19

b) Highest Scoring Class per Subject

proc sql;

    create table TopClasses as

    select Subject, ClassName, Section, max(AvgScore) as MaxScore

    from School_Classes

    group by Subject;

quit;


proc print data=TopClasses;

    title "Top Performing Classes by Subject";

run;

Output:

Top Performing Classes by Subject

Obs Subject ClassName Section MaxScore
1 English Grade4 B 90.1
2 English Grade6 B 90.1
3 English Grade2 B 90.1
4 English Grade7 B 90.1
5 English Grade1 B 90.1
6 English Grade5 B 90.1
7 English Grade8 B 90.1
8 English Grade9 B 90.1
9 English Grade3 B 90.1
10 Math Grade3 A 84.0
11 Math Grade9 A 84.0
12 Math Grade8 A 84.0
13 Math Grade5 A 84.0
14 Math Grade4 A 84.0
15 Math Grade7 A 84.0
16 Math Grade2 A 84.0
17 Math Grade1 A 84.0
18 Math Grade6 A 84.0
19 Science Grade5 C 82.9
20 Science Grade9 C 82.9
21 Science Grade1 C 82.9
22 Science Grade2 C 82.9
23 Science Grade4 C 82.9
24 Science Grade8 C 82.9
25 Science Grade7 C 82.9
26 Science Grade3 C 82.9
27 Science Grade6 C 82.9

Step 8: Creating a Macro to Generate Report by Grade

%macro ClassReport(grade);

    proc print data=School_Classes;

        where ClassName = "&grade";

        title "Report for &grade Classes";

    run;


    proc means data=School_Classes mean std maxdec=2;

        where ClassName = "&grade";

        var Strength AvgScore PassRate;

        title "Statistics for &grade Classes";

    run;

%mend;


%ClassReport(Grade5);

Output:

Statistics for Grade5 Classes

The MEANS Procedure

Variable Mean Std Dev
Strength
AvgScore
PassRate
31.67
82.57
93.67
2.08
6.01
4.04

%ClassReport(Grade7);

Output:

Statistics for Grade7 Classes

The MEANS Procedure

Variable Mean Std Dev
Strength
AvgScore
PassRate
32.00
81.20
91.67
1.00
3.75
3.79

Step 9: Generate Report – PROC REPORT

proc report data=School_Classes nowd;

    column ClassName Section Subject Strength AvgScore PassRate;

    define ClassName / group;

    define Section / group;

    define Subject / group;

    define Strength / analysis sum;

    define AvgScore / analysis mean format=5.2;

    define PassRate / analysis mean format=5.2;

    title "Aggregated School Class Performance Report";

run;

Output:

Aggregated School Class Performance Report

ClassName Section Subject Strength AvgScore PassRate
Grade1 A Math 30 78.50 90.00
  B English 32 82.00 95.00
  C Science 28 75.40 85.00
Grade2 A Math 35 80.20 93.00
  B English 33 85.60 96.00
  C Science 31 79.30 91.00
Grade3 A Math 29 83.70 94.00
  B English 30 84.80 97.00
  C Science 34 81.20 92.00
Grade4 A Math 36 79.90 89.00
  B English 33 87.40 96.00
  C Science 32 76.80 87.00
Grade5 A Math 31 81.60 93.00
  B English 34 89.00 98.00
  C Science 30 77.10 90.00
Grade6 A Math 28 80.40 91.00
  B English 29 86.20 95.00
  C Science 30 82.90 94.00
Grade7 A Math 32 78.60 90.00
  B English 31 85.50 96.00
  C Science 33 79.50 89.00
Grade8 A Math 35 83.20 92.00
  B English 30 88.40 97.00
  C Science 31 81.50 93.00
Grade9 A Math 33 84.00 94.00
  B English 29 90.10 99.00
  C Science 30 79.00 88.00

Step 10: Conditional Logic – Assigning Performance Flags

data Performance_Flags;

        retain ClassName Section Subject ClassTeacher PeriodTime ClassroomNo Building     Strength    AvgScore PassRate ;

    length Performance $20;

    set School_Classes;

    length Performance $12;

    if AvgScore >= 85 and PassRate >= 95 then Performance = "Outstanding";

    else if AvgScore >= 80 then Performance = "Above Average";

    else Performance = "Needs Focus";

run;

proc print;run;

Output:

Obs ClassName Section Subject ClassTeacher PeriodTime ClassroomNo Building Strength AvgScore PassRate Performance
1 Grade1 A Math Mr.Sharma 9:00-9:45 A101 BlockA 30 78.5 90 Needs Focus
2 Grade1 B English Mrs.Verma 10:00-10:45 A102 BlockA 32 82.0 95 Above Average
3 Grade1 C Science Mr.Patil 11:00-11:45 A103 BlockA 28 75.4 85 Needs Focus
4 Grade2 A Math Ms.Rao 9:00-9:45 B101 BlockB 35 80.2 93 Above Average
5 Grade2 B English Mr.Joseph 10:00-10:45 B102 BlockB 33 85.6 96 Outstanding
6 Grade2 C Science Mrs.Pinto 11:00-11:45 B103 BlockB 31 79.3 91 Needs Focus
7 Grade3 A Math Mr.Kumar 9:00-9:45 C101 BlockC 29 83.7 94 Above Average
8 Grade3 B English Ms.Sonia 10:00-10:45 C102 BlockC 30 84.8 97 Above Average
9 Grade3 C Science Mrs.Ruby 11:00-11:45 C103 BlockC 34 81.2 92 Above Average
10 Grade4 A Math Mr.Vijay 9:00-9:45 D101 BlockD 36 79.9 89 Needs Focus
11 Grade4 B English Mr.Naresh 10:00-10:45 D102 BlockD 33 87.4 96 Outstanding
12 Grade4 C Science Ms.Latha 11:00-11:45 D103 BlockD 32 76.8 87 Needs Focus
13 Grade5 A Math Mrs.Isha 9:00-9:45 E101 BlockE 31 81.6 93 Above Average
14 Grade5 B English Mr.David 10:00-10:45 E102 BlockE 34 89.0 98 Outstanding
15 Grade5 C Science Ms.Reema 11:00-11:45 E103 BlockE 30 77.1 90 Needs Focus
16 Grade6 A Math Mr.Manoj 9:00-9:45 F101 BlockF 28 80.4 91 Above Average
17 Grade6 B English Ms.Lavanya 10:00-10:45 F102 BlockF 29 86.2 95 Outstanding
18 Grade6 C Science Mr.Murthy 11:00-11:45 F103 BlockF 30 82.9 94 Above Average
19 Grade7 A Math Mr.Amit 9:00-9:45 G101 BlockG 32 78.6 90 Needs Focus
20 Grade7 B English Mrs.Maya 10:00-10:45 G102 BlockG 31 85.5 96 Outstanding
21 Grade7 C Science Ms.Tanya 11:00-11:45 G103 BlockG 33 79.5 89 Needs Focus
22 Grade8 A Math Mr.Ganesh 9:00-9:45 H101 BlockH 35 83.2 92 Above Average
23 Grade8 B English Mr.Vinod 10:00-10:45 H102 BlockH 30 88.4 97 Outstanding
24 Grade8 C Science Mrs.Anuja 11:00-11:45 H103 BlockH 31 81.5 93 Above Average
25 Grade9 A Math Mr.Ram 9:00-9:45 I101 BlockI 33 84.0 94 Above Average
26 Grade9 B English Ms.Nithya 10:00-10:45 I102 BlockI 29 90.1 99 Outstanding
27 Grade9 C Science Mr.Tom 11:00-11:45 I103 BlockI 30 79.0 88 Needs Focus

proc freq data=Performance_Flags;

    tables Performance;

    title "Distribution of Performance Flags";

run;

Output:

Distribution of Performance Flags

The FREQ Procedure

Performance Frequency Percent Cumulative
Frequency		 Cumulative
Percent
Above Average 11 40.74 11 40.74
Needs Focus 9 33.33 20 74.07
Outstanding 7 25.93 27 100.00




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