GRAPHICAL PROFILES

Graph 1 (Top)

• Age Group: 11 AND 14
• Population: 790
• Data Points (Salary (Rs./Year) - No. of candidates):
• (10K-0K): 120
• (0K-10K): 246
• (10K-20K): 207
• (20K-30K): 127
• (30K-40K): 56
• (40K-50K): 26
• (50K-60K): 14
• (60K-70K): 7
• (70K-80K): 2
• (80K-90K): 2
• (90K-100K): 1

Graph 2 (Bottom)

• Age Group: 15 AND 26
• Population: 1227
• Data Points (Salary (Rs./Year) - No. of candidates):
• (10K-0K): 302
• (0K-10K): 588
• (10K-20K): 179
• (20K-30K): 60
• (30K-40K): 23
• (40K-50K): 6
• (50K-60K): 2
• (60K-70K): 2
• (70K-80K): 1
• (80K-90K): 3
• (90K-100K): 1

Graph 1 (Top)

• Age Group: 11 AND 35
• Population: 1283
• Data Points (Salary (Rs./Year) - No. of candidates):
• (10K-0K): 260
• (0K-10K): 648
• (10K-20K): 292
• (20K-30K): 114
• (30K-40K): 47
• (40K-50K): 17
• (50K-60K): 6
• (60K-70K): 11
• (70K-80K): 4
• (80K-90K): 2
• (90K-100K): 2

Graph 2 (Bottom)

• Age Group: 19 AND 30
• Population: 977
• Data Points (Salary (Rs./Year) - No. of candidates):
• (10K-0K): 152
• (0K-10K): 394
• (10K-20K): 243
• (20K-30K): 86
• (30K-40K): 38
• (40K-50K): 32
• (50K-60K): 10
• (60K-70K): 13
• (70K-80K): 2
• (80K-90K): 2
• (90K-100K): 2

Graph 1 (Top)

• Age Group: 11 AND 32
• Population: 689
• Data Points (Salary (Rs./Year) - No. of candidates):
• (10K-0K): 120
• (0K-10K): 236
• (10K-20K): 146
• (20K-30K): 88
• (30K-40K): 52
• (40K-50K): 27
• (50K-60K): 13
• (60K-70K): 10
• (70K-80K): 9
• (80K-90K): 6
• (90K-100K): 2

Graph 2 (Bottom)

• Age Group: 31 AND 34
• Population: 564
• Data Points (Salary (Rs./Year) - No. of candidates):
• (10K-0K): 35
• (0K-10K): 188
• (10K-20K): 140
• (20K-30K): 61
• (30K-40K): 42
• (40K-50K): 31
• (50K-60K): 13
• (60K-70K): 10
• (70K-80K): 12
• (80K-90K): 6
• (90K-100K): 6

Graph 1 (Top)

• Age Group: 11 AND 36
• Population: 452
• Data Points (Salary (Rs./Year) - No. of candidates):
• (10K-0K): 45
• (0K-10K): 119
• (10K-20K): 103
• (20K-30K): 53
• (30K-40K): 42
• (40K-50K): 29
• (50K-60K): 21
• (60K-70K): 16
• (70K-80K): 6
• (80K-90K): 9
• (90K-100K): 6

Graph 2 (Bottom)

• Age Group: 37 AND 38
• Population: 199
• Data Points (Salary (Rs./Year) - No. of candidates):
• (10K-0K): 52
• (0K-10K): 103
• (10K-20K): 67
• (20K-30K): 22
• (30K-40K): 14
• (40K-50K): 7
• (50K-60K): 2
• (60K-70K): 3
• (70K-80K): 9
• (80K-90K): 1
• (90K-100K): 1

Graph 1 (Top)

• Age Group: 11 AND 40
• Population: 265
• Data Points (Salary (Rs./Year) - No. of candidates):
• (10K-0K): 55
• (0K-10K): 70
• (10K-20K): 40
• (20K-30K): 20
• (30K-40K): 12
• (40K-50K): 2
• (50K-60K): 2
• (60K-70K): 2
• (70K-80K): 2
• (80K-90K): 2
• (90K-100K): 2

Graph 2 (Bottom)

• Age Group: 41 AND 42
• Population: 174
• Data Points (Salary (Rs./Year) - No. of candidates):
• (10K-0K): 27
• (0K-10K): 41
• (10K-20K): 27
• (20K-30K): 17
• (30K-40K): 20
• (40K-50K): 4
• (50K-60K): 9
• (60K-70K): 5
• (70K-80K): 4
• (80K-90K): 4
• (90K-100K): 4

Graph 1 (Top)

• Age Group: 11 AND 44
• Population: 128
• Data Points (Salary (Rs./Year) - No. of candidates):
• (10K-0K): 8
• (0K-10K): 12
• (10K-20K): 31
• (20K-30K): 14
• (30K-40K): 15
• (40K-50K): 9
• (50K-60K): 6
• (60K-70K): 19
• (70K-80K): 8
• (80K-90K): 3
• (90K-100K): 3

Graph 2 (Bottom)

• Age Group: 45 AND 46
• Population: 117
• Data Points (Salary (Rs./Year) - No. of candidates):
• (10K-0K): 5
• (0K-10K): 24
• (10K-20K): 18
• (20K-30K): 16
• (30K-40K): 14
• (40K-50K): 8
• (50K-60K): 5
• (60K-70K): 7
• (70K-80K): 6
• (80K-90K): 5
• (90K-100K): 5

Graph 1 (Top)

• Age Group: 11 AND 48
• Population: 85
• Data Points (Salary (Rs./Year) - No. of candidates):
• (10K-0K): 11
• (0K-10K): 24
• (10K-20K): 10
• (20K-30K): 6
• (30K-40K): 15
• (40K-50K): 3
• (50K-60K): 4
• (60K-70K): 7
• (70K-80K): 5
• (80K-90K): 0
• (90K-100K): 0

Graph 2 (Bottom)

• Age Group: 49 AND 50
• Population: 64
• Data Points (Salary (Rs./Year) - No. of candidates):
• (10K-0K): 10
• (0K-10K): 22
• (10K-20K): 17
• (20K-30K): 17
• (30K-40K): 17
• (40K-50K): 17
• (50K-60K): 3
• (60K-70K): 3
• (70K-80K): 3
• (80K-90K): 3
• (90K-100K): 3

Graph 1 (Top)

• Age Group: 11 AND 52
• Population: 44
• Data Points (Salary (Rs./Year) - No. of candidates):
• (10K-0K): 13
• (0K-10K): 15
• (10K-20K): 11
• (20K-30K): 4
• (30K-40K): 1
• (40K-50K): 0
• (50K-60K): 0
• (60K-70K): 0
• (70K-80K): 0
• (80K-90K): 0
• (90K-100K): 0

Graph 2 (Bottom)

• Age Group: 53 AND 54
• Population: 39
• Data Points (Salary (Rs./Year) - No. of candidates):
• (10K-0K): 5
• (0K-10K): 13
• (10K-20K): 8
• (20K-30K): 5
• (30K-40K): 2
• (40K-50K): 2
• (50K-60K): 2
• (60K-70K): 2
• (70K-80K): 0
• (80K-90K): 0
• (90K-100K): 0

Graph 1 (Top)

• Age Group: 11 AND 56
• Population: 32
• Data Points (Salary (Rs./Year) - No. of candidates):
• (10K-0K): 4
• (0K-10K): 9
• (10K-20K): 7
• (20K-30K): 6
• (30K-40K): 3
• (40K-50K): 3
• (50K-60K): 0
• (60K-70K): 0
• (70K-80K): 0
• (80K-90K): 0
• (90K-100K): 0

Graph 2 (Bottom)

• Age Group: 57 AND 58
• Population: 21
• Data Points (Salary (Rs./Year) - No. of candidates):
• (10K-0K): 1
• (0K-10K): 1
• (10K-20K): 1
• (20K-30K): 0
• (30K-40K): 3
• (40K-50K): 1
• (50K-60K): 1
• (60K-70K): 2
• (70K-80K): 0
• (80K-90K): 0
• (90K-100K): 0

Graph 1 (Top)

• Age Group: 59 AND 60
• Population: 12
• Data Points (Salary (Rs./Year) - No. of candidates):
• (10K-0K): 2
• (0K-10K): 1
• (10K-20K): 1
• (20K-30K): 0
• (30K-40K): 1
• (40K-50K): 4
• (50K-60K): 1
• (60K-70K): 0
• (70K-80K): 0
• (80K-90K): 0
• (90K-100K): 0

Handwritten Note: "This set of graphs follow the exact pattern as 'Age' graphs, because of the simple equation/formula adopted by us in Computing "Total Exp". Hence entire credibility is lost! Age-wise graphs & Exp.-wise graphs appear absolutely identical with same "No:" on Y-axis! We must find a way!"

Top Graph (Scan_0011 - Upper):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 1 AND 2
• Population: '799'
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 112
• (10K-20K): 245
• (20K-30K): 207
• (30K-40K): 127
• (40K-50K): 58
• (50K-60K): 26
• (60K-70K): 14
• (70K-80K): 7
• (80K-90K): 5
• (90K-100K): 2

Bottom Graph (Scan_0011 - Lower):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 1 AND 4
• Population: '1122'
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 362
• (10K-20K): 568
• (20K-30K): 178
• (30K-40K): 60
• (40K-50K): 23
• (50K-60K): 8
• (60K-70K): 6
• (70K-80K): 2
• (80K-90K): 1
• (90K-100K): 3

Top Graph (Scan_0012 - Upper):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 5 AND 6
• Population: '1283'
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 352
• (10K-20K): 548
• (20K-30K): 292
• (30K-40K): 114
• (40K-50K): 47
• (50K-60K): 17
• (60K-70K): 4
• (70K-80K): 11
• (80K-90K): 2
• (90K-100K): 2

Bottom Graph (Scan_0012 - Lower):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 7 AND 8
• Population: '777'
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 152
• (10K-20K): 354
• (20K-30K): 243
• (30K-40K): 89
• (40K-50K): 38
• (50K-60K): 22
• (60K-70K): 10
• (70K-80K): 10
• (80K-90K): 7
• (90K-100K): 2

Top Graph (Scan_0013 - Upper):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 9 AND 10
• Population: '589'
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 96
• (10K-20K): 238
• (20K-30K): 148
• (30K-40K): 99
• (40K-50K): 52
• (50K-60K): 27
• (60K-70K): 13
• (70K-80K): 10
• (80K-90K): 9
• (90K-100K): 6

Bottom Graph (Scan_0013 - Lower):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 11 AND 12
• Population: '444'
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 55
• (10K-20K): 183
• (20K-30K): 140
• (30K-40K): 51
• (40K-50K): 48
• (50K-60K): 31
• (60K-70K): 13
• (70K-80K): 10
• (80K-90K): 12
• (90K-100K): 8

Top Graph (Scan_0014 - Upper):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 13 AND 14
• Population: '432'
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 65
• (10K-20K): 119
• (20K-30K): 103
• (30K-40K): 82
• (40K-50K): 42
• (50K-60K): 21
• (60K-70K): 21
• (70K-80K): 16
• (80K-90K): 18
• (90K-100K): 5

Bottom Graph (Scan_0014 - Lower):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 15 AND 16
• Population: '346'
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 69
• (10K-20K): 103
• (20K-30K): 57
• (30K-40K): 22
• (40K-50K): 4
• (50K-60K): 7
• (60K-70K): 7
• (70K-80K): 9
• (80K-90K): 9
• (90K-100K): 1

Top Graph (Scan_0015 - Upper):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 17 AND 18
• Population: '265'
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 61
• (10K-20K): 75
• (20K-30K): 40
• (30K-40K): 28
• (40K-50K): 18
• (50K-60K): 12
• (60K-70K): 9
• (70K-80K): 1
• (80K-90K): 0
• (90K-100K): 2

Bottom Graph (Scan_0015 - Lower):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 19 AND 20
• Population: '171'
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 5
• (10K-20K): 27
• (20K-30K): 41
• (30K-40K): 27
• (40K-50K): 17
• (50K-60K): 20
• (60K-70K): 6
• (70K-80K): 9
• (80K-90K): 8
• (90K-100K): 4

Top Graph (Scan_0016 - Upper):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 21 AND 22
• Population: '126'
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 0
• (10K-20K): 8
• (20K-30K): 31
• (30K-40K): 14
• (40K-50K): 15
• (50K-60K): 8
• (60K-70K): 6
• (70K-80K): 19
• (80K-90K): 4
• (90K-100K): 3

Bottom Graph (Scan_0016 - Lower):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 11 AND 24
• Population: '101'
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 0
• (10K-20K): 24
• (20K-30K): 20
• (30K-40K): 15
• (40K-50K): 14
• (50K-60K): 7
• (60K-70K): 5
• (70K-80K): 7
• (80K-90K): 4
• (90K-100K): 5

Top Graph (Scan_0017 - Upper):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 25 AND 26
• Population: '95'
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 0
• (10K-20K): 11
• (20K-30K): 24
• (30K-40K): 10
• (40K-50K): 6
• (50K-60K): 13
• (60K-70K): 4
• (70K-80K): 3
• (80K-90K): 8
• (90K-100K): 4

Bottom Graph (Scan_0017 - Lower):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 25 AND 26
• Population: '93' (Note: '93' is manually read from the graph point, the legend says '93')
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 10
• (10K-20K): 10
• (20K-30K): 22
• (30K-40K): 18 (Approximation between 18 and 20 based on line)
• (40K-50K): 17
• (50K-60K): 13 (Approximation between 12 and 14 based on line)
• (60K-70K): 9
• (70K-80K): 9
• (80K-90K): 9
• (90K-100K): 3

Top Graph (Scan_0018 - Upper):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 29 AND 30
• Population: '44'
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 0
• (10K-20K): 14
• (20K-30K): 15
• (30K-40K): 13
• (40K-50K): 11
• (50K-60K): 1
• (60K-70K): 0
• (70K-80K): 0
• (80K-90K): 0
• (90K-100K): 2

Bottom Graph (Scan_0018 - Lower):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 31 AND 32
• Population: '38'
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 0
• (10K-20K): 1
• (20K-30K): 13
• (30K-40K): 8
• (40K-50K): 6
• (50K-60K): 3
• (60K-70K): 2
• (70K-80K): 2
• (80K-90K): 3
• (90K-100K): 2

Top Graph (Scan_0019 - Upper):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 33 AND 34
• Population: '32'
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 4
• (10K-20K): 7
• (20K-30K): 9
• (30K-40K): 7
• (40K-50K): 6
• (50K-60K): 4
• (60K-70K): 3
• (70K-80K): 3 (Approximation)
• (80K-90K): 3
• (90K-100K): 3

Bottom Graph (Scan_0019 - Lower):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 35 AND 36
• Population: '14'
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 1
• (10K-20K): 1
• (20K-30K): 1
• (30K-40K): 0
• (40K-50K): 3
• (50K-60K): 3
• (60K-70K): 1
• (70K-80K): 1
• (80K-90K): 2
• (90K-100K): 2

Top Graph (Scan_0020 - Upper):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 37 AND 38
• Population: '12'
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 2
• (10K-20K): 1
• (20K-30K): 1
• (30K-40K): 0
• (40K-50K): 0
• (50K-60K): 1
• (60K-70K): 0
• (70K-80K): 4
• (80K-90K): 1
• (90K-100K): 1

Bottom Graph (Scan_0020 - Lower):

• Graph Title/Legend: FREQUENCY DISTRIBUTION GRAPH, SALARY - WISE, Experience between 39 AND 42
• Population: '10'
• X-axis (Salary in thousands (Rs./Years)) vs. Y-axis (No. of candidates):
• (10K): 0
• (10K-20K): 0
• (20K-30K): 2
• (30K-40K): 1
• (40K-50K): 0
• (50K-60K): 0
• (60K-70K): 0
• (70K-80K): 0
• (80K-90K): 0
• (90K-100K): 0

• Top Graph:
• Title: SHOW GRAPH | SALARY vs No. of Candidates
• Legend: FREQUENCY DISTRIBUTION GRAPH | SALARY - WISE | DESIGNATION = 'Trainee' | POPULATION = '164'
• Y-axis: No. of candidates (0 to 35)
• X-axis: SALARY (Categories:  50k, ( 50k  100k), ( 100k  150k), ( 150k  200k), ( 200k  250k),  250k)
• Data Points: 15, 31, 22, 22, 9, 6 (The handwritten categories below the x-axis are:  50k, ( 50k  100k), ( 100k  150k), ( 150  200), ( 200  250),  250)
• Bottom Graph:
• Title: SHOW GRAPH | SALARY vs No. of Candidates
• Legend: FREQUENCY DISTRIBUTION GRAPH | SALARY - WISE | DESIGNATION = 'Executive Officer' | POPULATION = '1105'
• Y-axis: No. of candidates (0 to 400)
• X-axis: SALARY (Categories: 5000k, 10000k, 15000k, 20000k, 25000k, 30000k, 35000k, 40000k, 45000k, 50000k,  50000k)
• Data Points: 95, 305, 325, 160, 75, 55, 35, 30, 20, 10, 5

• Top Graph:
• Title: SHOW GRAPH | SALARY vs No. of Candidates
• Legend: FREQUENCY DISTRIBUTION GRAPH | SALARY - WISE | Age between 21 AND 24 | POPULATION = '799'
• Y-axis: No. of candidates (0 to 280)
• X-axis: SALARY in thousands (Rs./Years) (Categories: 5000k, 10000k, 15000k, 20000k, 25000k, 30000k, 35000k, 40000k, 45000k, 50000k,  50000k)
• Data Points: 95, 265, 205, 125, 50, 35, 12, 5, 2, 1, 0
• Bottom Graph:
• Title: SHOW GRAPH | SALARY vs No. of Candidates
• Legend: FREQUENCY DISTRIBUTION GRAPH | SALARY - WISE | Age between 25 AND 26 | POPULATION = '1117'
• Y-axis: No. of candidates (0 to 360)
• X-axis: SALARY in thousands (Rs./Years) (Categories: 5000k, 10000k, 15000k, 20000k, 25000k, 30000k, 35000k, 40000k, 45000k, 50000k,  50000k)
• Data Points: 75, 301, 310, 251, 125, 55, 25, 22, 10, 5, 1

• Graph:
• Title: SHOW GRAPH | SALARY vs No. of Candidates
• Legend: FREQUENCY DISTRIBUTION GRAPH | SALARY - WISE | DESIGNATION = 'Trainee' | POPULATION = '164'
• Y-axis: No. of candidates (0 to 35)
• X-axis: SALARY in thousands (Rs./Years) (Categories: 5000k, 10000k, 15000k, 20000k, 25000k, 30000k, 35000k, 40000k, 45000k, 50000k,  50000k)
• Data Points: 19, 31, 22, 22, 3, 0, 0, 0, 0, 0, 0

• Top Graph:
• Title: SHOW GRAPH | SALARY vs No. of Candidates
• Legend: FREQUENCY DISTRIBUTION GRAPH | SALARY - WISE | DESIGNATION = 'Executive Officer' | POPULATION = '164'
• Y-axis: No. of candidates (0 to 40)
• X-axis: SALARY in thousands (Rs./Years) (Categories: ( 50k), ( 50k  100k), ( 100k  150k), ( 150k  200k), ( 200k  250k), ( 250k  500k))
• Data Points: 19, 35, 22, 22, 23, 5
• Handwritten note: ok, Table
• Bottom Graph:
• Title: SHOW GRAPH | SALARY vs No. of Candidates
• Legend: FREQUENCY DISTRIBUTION GRAPH | SALARY - WISE | DESIGNATION = 'Executive Officer' | POPULATION = '1105'
• Y-axis: No. of candidates (0 to 550)
• X-axis: SALARY in thousands (Rs./Years) (Categories: ( 100k), ( 100k  200k), ( 200k  300k), ( 300k  400k), ( 400k  500k), ( 500k  600k), ( 600k  700k), ( 700k  800k), ( 800k  900k), ( 900k  1000k), ( 1000k))
• Data Points: 450, 430, 114, 20, 5, 4, 10, 5, 1, 0, 3
• Handwritten note: ok, Table

• Top Graph:
• Title: SHOW GRAPH | SALARY vs No. of Candidates
• Legend: FREQUENCY DISTRIBUTION GRAPH | SALARY - WISE | DESIGNATION = 'Senior Manager' | POPULATION = '4463'
• Y-axis: No. of candidates (0 to 2200)
• X-axis: SALARY in thousands (Rs./Years) (Categories: ( 100k), ( 100k  200k), ( 200k  300k), ( 300k  400k), ( 400k  500k), ( 500k  600k), ( 600k  700k), ( 700k  800k), ( 800k  900k), ( 900k  1000k), ( 1000k))
• Data Points: 720, 1840, 1036, 430, 195, 87, 31, 27, 2, 2, 2
• Handwritten note: ok, Annual Salary (Rs. 000/year), Table
• Bottom Graph:
• Title: SHOW GRAPH | SALARY vs No. of Candidates
• Legend: FREQUENCY DISTRIBUTION GRAPH | SALARY - WISE | DESIGNATION = 'General Manager' | POPULATION = '1197'
• Y-axis: No. of candidates (0 to 280)
• X-axis: SALARY in thousands (Rs./Years) (Categories: ( 100k), ( 100k  200k), ( 200k  300k), ( 300k  400k), ( 400k  500k), ( 500k  600k), ( 600k  700k), ( 700k  800k), ( 800k  900k), ( 900k  1000k), ( 1000k))
• Data Points: 110, 153, 247, 195, 157, 150, 87, 85, 49, 101, 101
• Handwritten note: ok, Table
• Overall Handwritten Note: We are losing a lot of valuable space in this arrangement! what can we do to reduce this space & make it available for bigger Y Axis?

• Top Graph:
• Title: SHOW GRAPH | SALARY vs No. of Candidates
• Legend: FREQUENCY DISTRIBUTION GRAPH | SALARY - WISE | DESIGNATION = 'Senior Manager' | POPULATION = '4463'
• Y-axis: No. of candidates (0 to 2200)
• X-axis: SALARY in thousands (Rs./Years) (Categories: ( 100k), ( 100k  200k), ( 200k  300k), ( 300k  400k), ( 400k  500k), ( 500k  600k), ( 600k  700k), ( 700k  800k), ( 800k  900k), ( 900k  1000k), ( 1000k))
• Data Points: 720, 1840, 1036, 430, 195, 87, 31, 27, 2, 2, 2
• Handwritten Note: Duplicated! | President & MD to be plotted.
• Bottom Graph:
• Title: SHOW GRAPH | SALARY vs No. of Candidates
• Legend: FREQUENCY DISTRIBUTION GRAPH | SALARY - WISE | DESIGNATION = 'General Manager' | POPULATION = '1197'
• Y-axis: No. of candidates (0 to 280)
• X-axis: SALARY in thousands (Rs./Years) (Categories: ( 100k), ( 100k  200k), ( 200k  300k), ( 300k  400k), ( 400k  500k), ( 500k  600k), ( 600k  700k), ( 700k  800k), ( 800k  900k), ( 900k  1000k), ( 1000k))
• Data Points: 97, 153, 247, 195, 157, 150, 87, 85, 49, 101, 101

• Top Graph (Age):
• Title: SHOW GRAPH | AGE vs No. of Candidates
• Legend: FREQUENCY DISTRIBUTION OF EXECUTIVES | AGE - WISE | POPULATION = '7188'
• Y-axis: No. of candidates (0 to 800)
• X-axis: AGE (Years) (1 to 65)
• Selected Data Points (approx): 377, 473, 616, 719, 664, 511, 390, 309, 272, 252, 194, 150, 137, 102, 91, 75, 62, 53, 49, 42, 43, 39, 36, 35, 30, 26, 22, 18, 14, 10, 8, 4, 3, 2, 1, 0, 0
• Handwritten note: This is ok - except that when launched on Recruitmy, we will not display the figures just above each point. but a surfer can click on Table link to see the actual values. | Table
• Bottom Graph (Experience):
• Title: SHOW GRAPH | EXPERIENCE vs No. of Candidates
• Legend: FREQUENCY DISTRIBUTION OF EXECUTIVES | EXPERIENCE - WISE | POPULATION = '7188'
• Y-axis: No. of candidates (0 to 800)
• X-axis: EXPERIENCE (Years) (1 to 65)
• Selected Data Points (approx): 377, 473, 616, 719, 664, 511, 390, 309, 272, 252, 194, 150, 137, 102, 91, 75, 62, 53, 49, 42, 43, 39, 36, 35, 30, 26, 22, 18, 14, 10, 8, 4, 3, 2, 1, 0, 0
• Handwritten Note: Because of our definition/ equation, the shape of "actual" Years of Exp is these hos. coincide with "Age Profile". It looks "cooked up" (Which it is!). With exactly SAME figs/nos. appearing on both graphs, we are losing CREDIBILITY! So we must find another method of calculating "Total Yrs of Exp" which is (and appears) more Credible.

• Graph:
• Title: SHOW GRAPH | DESIGNATION LEVEL vs No. of Candidates
• Legend: FREQUENCY DISTRIBUTION OF EXECUTIVES | DESIGNATION LEVEL-WISE | POPULATION = '7188'
• Y-axis: No. of candidates (0 to 5000)
• X-axis: DESIGNATION LEVEL (Categories: Trainee, Executive Officer, Manager, General Manager, President/Executive Director, Managing Director)
• Data Points: 164, 1105, 4463, 1297, 744, 125

 

Scan_0029.jpg: TENURE FREQUENCY PROFILE

Graph Title: TENURE FREQUENCY PROFILE (YEARS OF SERVICE IN A GIVEN JOB)

Sample Size: 250

Y-axis: NUMBERS (INCIDENCES)

X-axis: TENURE (YEARS)

Data Points (Tenure in Years, Incidences):

• $1$ year: 40
• 1 year: 73
• 2 years: 43
• 3 years: 33
• 4 years: 21
• 5 years: 14
• 6 years: 3
• 7 years: 4
• 8 years: 5
• 9 years: 11
• 10 years: 3
• 11 years: 2
• 12 years: 4
• 13 years: 2
• 14 years: 3
• 15 years: 1

Job Tenure Data Table

Table Title: Job Tenure (yrs) - Total

Page	1	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	Total
1	3	8	6	2	1	2	-	1	-	-	-	-	-	-	-	-	26
2	8	10	6	3	1	-	-	1	-	-	-	-	-	-	-	-	30
3	3	4	2	3	3	1	1	-	-	-	-	-	-	-	-	-	19
4	2	4	5	3	1	2	-	-	1	1	-	-	-	-	-	-	19
5	4	7	3	2	2	-	1	-	-	-	-	-	-	-	-	-	19
6	3	4	3	2	-	2	-	-	-	2	1	-	-	-	-	-	17
7	1	6	7	5	3	-	-	-	-	1	-	-	-	-	-	-	23
8	7	7	2	4	3	-	-	-	1	-	-	-	-	-	1	-	25
9	2	9	4	3	3	1	-	-	-	1	-	-	-	-	-	-	23
10	4	7	4	3	3	3	1	-	2	-	-	-	-	-	1	-	28
11	3	7	1	3	1	2	-	-	1	1	2	-	-	-	-	-	21
Total	40	73	43	33	21	14	3	3	5	11	5	2	-	1	-	1	250

 

SALARY FREQUENCY PROFILE

Graph Title: SALARY FREQUENCY PROFILE (Salarywise Distribution of candidates in our database)

Sample Size: 158

Y-axis: NO. OF CANDIDATES

X-axis: ANNUAL SALARY (RS, 000)

Data Points (Salary Range (in Rs. 000), No. of Candidates):

• 0-50: 18
• 51-100: 29
• 101-150: 23
• 151-200: 24
• 201-250: 12
• 251-300: 12
• 301-350: 8
• 351-400: 12
• 401-450: 1
• 451-500: 6
• 501-550: 1
• 551-600: 1
• 601-650: 3
• 651-700: 3
• 701-750: 1
• 751-800: 3
• 801-850: 2
• 851-900: 2
• 901-950: 1
• 951-1000: 1

AGE FREQUENCY PROFILE

Graph Title: AGE FREQUENCY PROFILE (Age-wise Distribution of candidates)

Sample Size: 75

Y-axis: NUMBERS (FREQUENCY)

X-axis: AGE (YEARS)

Data Points (Age in Years, Frequency):

• 23: 2
• 24: 6
• 25: 4
• 26: 4
• 27: 6
• 28: 2
• 29: 6
• 30: 4
• 31: 8
• 32: 1
• 33: 8
• 34: 2.5 (approx 2 or 3)
• 35: 2.5 (approx 2 or 3)
• 36: 2
• 37: 2
• 38: 2
• 39: 1
• 40: 1
• 41: 2
• 42: 1
• 43: 1
• 44: 2
• 45: 1

AGE VS. SALARY SCATTERGRAM

Graph Title: AGE VS. SALARY SCATTERGRAM (2)

Sample Size: ---

Y-axis: SALARY (CRs. LAKHS)

X-axis: AGE

Notes:

• This Scattergram will be very similar to "Years of Exp. Vs. Salary" Scattergram.
• With sufficiently large sample-size, "Line of best fit" and "Age-wise" salary frequency distribution graphs can be automatically plotted & displayed when clicked on a given "Age".

Sketch/Example on Graph:

• A frequency distribution curve is drawn roughly centered at Age 36, showing a typical distribution of salaries (from approx. 7 lakhs to 20 lakhs) for that age.

YEARS OF EXPERIENCE VS. SALARY SCATTERGRAM

Graph Title: YEARS OF EXPERIENCE VS. SALARY SCATTERGRAM

Sample Size: 55

Y-axis: SALARY (CRs. Lakhs)

X-axis: YEARS OF EXPERIENCE

Notes:

• If we have a sample-size of, say, 10000 candidates:
• Statistical Software (WWW.Softglare(X.com), can plot a "Line of best fit".
• For each "AGE", software can also plot a "Frequency Distribution graphs" as show below. Maybe be an HR Manager simply moves cursor over on any given "years of Experience", a click, and corresponding graph will appear in a small window. This would be a very powerful tool where we can charge Rs. 25 per click!

Sketch/Example on Graph:

• A box is drawn around data points near 14 years of experience, and a dashed frequency distribution curve is sketched to its right, showing a concentration of salaries for that experience level.