Gender

Female Male Total Result

74 37 111
120

100

80

60 Male
Total Result

40

20

0
74
Age
17 18 19 20 21 Total Result 120
2 49 43 15 2###
100

80

60

40

20

0
2
 18
19
20
21
Total Result

2
Count of sr year 60
Department 1st year 2nd year 3rd year Total Result
DLHS 10 5 15
50
DOC 6 8 1 15
MIT 24 13 4 41
MLS 1 1 40
Tapmi 10 29 39
Total Result 51 55 5 111 30

20

10

0
DLHS DOC MIT
 year 1st year
2nd year
3rd year

DLHS DOC MIT MLS Tapmi Total

Result
personality type
a b mixTotal Result
14 11 86 111 120

100

80

60

40

20

0
14
 b
mix of type a and b
Total Result

14
sr Name Age Gender Department
1 Naykriti Sinha 18 Female Tapmi
2 M. Ranjitha 20 Female Tapmi
3 Dikshita Devrani 19 Female Tapmi
4 Maitreyee 20 Female Tapmi
5 Rishit 18 Male Tapmi
6 Sai preetham 19 Male Tapmi
7 Nidhi T A 19 Female Tapmi
8 Ambika Jyoti Katoch 18 Female Tapmi
9 Srinisha Ekabote 18 Female Tapmi
10 Manish B R 21 Male MIT
11 Aastha 19 Female Tapmi
12 Piyush Sirsat 19 Male Tapmi
13 Samriddhi Phawa 18 Female Tapmi
14 Nimish 18 Male Tapmi
15 Posa Varshika 18 Female Tapmi
16 Roshan Raj 18 Male MIT
17 Kumar firake 19 Male Tapmi
18 Arya Gupta 20 Female MIT
19 Aditi 19 Female Tapmi
20 Jhagruth 18 Male MIT
21 Adarsh 19 male Tapmi
22 Gungun kumari 19 Female DOC
23 Priyanka Murmu 18 Female DOC
24 Jiya 18 Female DLHS
25 Aarushi 19 Female Tapmi
26 Nandika 19 Female Tapmi
27 Anurima Chatty 18 Female Tapmi
28 juwairia Tabasoom 19 Female MIT
29 Harini Nagarajan 18 Female MIT
30 Vani 19 Female MIT
31 Anwesha 19 Female Tapmi
32 Mithra 18 Female Tapmi
33 Navya 20 Female MIT
34 Darshana Rajawat 20 Female Tapmi
35 Animesh Mishra 18 Male MIT
36 anushka 18 Female Tapmi
37 Alagammai Nandini 19 Female Tapmi
38 Divyanshi 19 Female Tapmi
39 Asmita 19 Female Tapmi
40 Suyash Singh 18 Male MIT
41 Vedant 19 Male MIT
42 Snehal 20 Female Tapmi
43 Arpit Singh 18 Male MIT
44 Prarabdh Parmar 18 Male MIT
45 Milan 18 Male MIT
46 Apoorva 20 Male Tapmi
47 Poonitha Kunder 19 Female Tapmi
48 Ananya 17 Female DLHS
49 Pranati Mahapatra 18 Female DLHS
50 Uma Maheshwara Rao B 17 Male Tapmi
51 Cyga Maria Binoy 18 Female Tapmi
52 Aryasree M 18 Female MIT
53 V 18 Male Tapmi
54 Aevin 19 Male Tapmi
55 Krati Singh Dangi 18 Female Tapmi
56 Pushpendra 19 Male Tapmi
57 Kriti 19 Female Tapmi
58 Apurva 18 Female DLHS
59 Prashika 20 Female DLHS
60 Gunn Seth 18 Female MIT
61 Vaishnavi 19 Female Tapmi
62 Asmitha Arun 18 Female MLS
63 Charvy Mittal 18 Female Tapmi
64 Anna 19 Female MIT
65 Arjun Kabir Malhotra 18 male MIT
66 Aarav Ishaan Gupta 20 male MIT
67 Vivaan Reyansh Kohli 19 male DLHS
68 Nirvaan Krish Patel 20 male DOC
69 Rudra Agastya Jain 18 male MIT
70 Kairav Yash Jain 19 male MIT
71 Vijay Viraj Kapoor 19 male DLHS
72 Krishna Samarth Mehta 18 male DOC
73 Karan Aryaman Rao 18 male DOC
74 Ishaan Tejas Shah 21 male DOC
75 Devansh Reyan Das 19 male MIT
76 Shivansh Akshaya Meh 19 male MIT
77 Vikram Rahul Patel 18 male MIT
78 Anish Siddharth Jain 18 male MIT
79 Rohit Ajay Kapoor 18 male DLHS
80 Ajay Dev Sharma 18 male DLHS
81 Siddharth Karan Malhot 19 Male DLHS
82 Aanya Singh 20 Female DOC
83 Ananya Sharma 19 Female DOC
84 Diya Gupta 18 Female MIT
85 Ishita Malhotra 19 Female MIT
86 Kiara Patel 19 Female MIT
87 Misha Jain 18 Female MIT
88 Myra Kapoor 18 Female MIT
89 Naina Mehta 19 Female MIT
90 Priya Rao 19 Female DOC
91 Rhea Shah 18 Female DOC
92 Riya Das 19 Female DOC
93 Samaira Mehta 18 Female DLHS
94 Sania Patel 19 Female DLHS
95 Sara Jain 19 Female DLHS
 96 Tanya Kapoor 18 Female MIT
97 Trisha Malhotra 20 Female MIT
98 Aarohi Gupta 20 Female MIT
99 Diya Sharma 18 Female MIT
100 Eesha Patel 18 Female DLHS
101 Freya Jain 19 Female DOC
102 Geetanjali Kapoor 19 Female DOC
103 Gia Mehta 19 Female MIT
104 Hana Rao 18 Female MIT
105 Ira Shah 19 Female MIT
106 Jiya Das 20 Female MIT
107 Kriti Mehta 18 Female DLHS
108 Liza Patel 18 Female MIT
109 Mahika Jain 18 Female DOC
110 Natasha Kapoor 20 Female DOC
111 Neha Malhotra 19 Female MIT
year I hate giving up before Sometimes I feel that I I thrive on challenging
2nd year 3 4 2
2nd year 2 4 3
2nd year 4 4 4
2nd year 5 3 4
2nd year 3 3 3
2nd year 4 4 4
2nd year 3 4 4
1st year 4 3 5
1st year 4 3 4
3rd year 2 1 3
2nd year 5 4 3
1st year 3 3 3
1st year 2 3 2
1st year 3 2 2
2nd year 5 3 2
1st year 2 5 5
2nd year 1 1 1
2nd year 4 1 1
2nd year 2 2 4
1st year 4 3 4
2nd year 1 5 1
3rd year 4 3 4
2nd year 2 1 1
2nd year 3 3 3
2nd year 3 4 5
2nd year 2 4 3
1st year 3 3 3
2nd year 3 5 1
2nd year 4 3 3
3rd year 4 3 4
2nd year 4 4 3
2nd year 3 5 5
3rd year 3 2 2
2nd year 4 4 2
1st year 5 1 5
1st year 3 3 4
2nd year 1 4 5
2nd year 2 2 2
2nd year 1 4 5
1st year 2 2 2
2nd year 3 2 3
2nd year 5 4 4
1st year 4 2 3
1st year 4 5 4
1st year 4 4 1
2nd year 4 3 3
2nd year 3 5 4
1st year 5 3 3
1st year 5 5 5
1st year 3 5 5
2nd year 5 5 5
1st year 4 4 2
2nd year 3 4 2
2nd year 3 3 3
2nd year 3 4 5
2nd year 3 2 4
2nd year 3 4 2
1st year 5 5 2
1st year 4 1 3
1st year 4 1 2
1st year 5 4 5
1st year 5 2 5
1st year 3 5 3
1st year 5 4 3
1st year 3 5 4
2nd year 5 3 3
2nd year 5 5 5
2nd year 3 5 5
1st year 5 5 5
1st year 4 4 2
1st year 3 4 2
1st year 3 3 3
1st year 3 4 5
2nd year 2 4 1
2nd year 1 4 5
2nd year 2 2 2
1st year 1 4 5
1st year 2 2 2
1st year 3 2 3
1st year 5 4 4
2nd year 4 3 5
2nd year 4 3 3
1st year 4 3 4
1st year 4 4 3
2nd year 3 5 5
2nd year 3 2 2
1st year 4 4 2
1st year 5 1 5
1st year 3 3 4
1st year 1 4 5
1st year 2 2 2
2nd year 1 4 5
1st year 2 2 2
2nd year 3 2 3
2nd year 5 4 4
1st year 4 2 3
2nd year 4 5 4
2nd year 4 4 1
1st year 4 3 3
1st year 3 5 4
2nd year 5 3 3
2nd year 5 5 5
2nd year 3 5 5
1st year 5 5 5
2nd year 4 4 3
3rd year 3 5 5
1st year 3 2 2
1st year 4 4 2
1st year 5 1 5
2nd year 3 3 4
1st year 1 4 5
In comparison to most It seems as if I need 30 In general, I approach I guess there are some
3 3 3 3
3 4 4 1
4 3 4 4
4 3 3 2
3 4 3 3
3 3 4 3
4 4 5 5
4 5 3 4
3 5 3 3
3 2 3 5
4 3 3 3
3 2 3 2
2 3 4 4
5 3 4 4
4 5 3 4
5 5 5 5
1 1 1 1
2 5 4 4
2 5 2 3
4 3 4 2
3 5 1 5
5 3 5 5
1 5 4 3
3 3 3 3
3 5 3 4
4 4 2 2
2 4 3 3
3 4 2 3
2 4 3 3
4 5 4 4
4 4 3 3
5 5 4 4
2 5 2 3
3 5 4 4
5 1 4 5
4 4 3 3
3 5 4 4
2 2 2 2
4 5 3 3
2 4 2 2
4 3 4 1
3 3 5 5
3 2 1 1
4 1 3 3
3 1 2 4
2 4 2 3
4 2 4 2
4 3 4 4
5 4 4 4
5 1 4 3
3 4 3 2
3 2 4 3
3 2 3 4
5 3 5 5
5 2 4 3
4 2 4 5
4 5 4 3
4 5 4 3
3 1 3 1
1 4 1 1
5 2 5 5
4 5 4 4
4 2 5 4
2 3 3 3
4 2 4 2
4 3 4 4
5 4 4 4
5 1 4 3
3 4 3 2
3 2 4 3
3 2 3 4
5 3 5 5
5 2 4 3
5 5 3 2
3 5 4 4
2 2 2 2
4 5 3 3
2 4 2 2
4 3 4 1
3 3 5 5
3 1 2 4
2 4 2 4
4 2 4 3
4 3 4 2
5 4 4 3
5 1 4 4
3 4 3 5
3 2 4 3
3 2 3 5
5 3 5 3
5 2 4 3
4 2 4 1
4 5 4 1
4 5 4 5
3 1 3 4
1 4 1 4
5 2 5 3
4 5 4 2
4 2 5 4
2 3 3 4
4 2 4 3
4 3 4 2
5 4 4 3
5 1 4 4
4 4 3 5
5 2 4 3
5 1 4 4
3 5 4 1
3 5 4 5
3 1 3 4
5 4 1 4
My achievements are con
I've often been asked to be an officer/ leader of some group or grou
3 4
5 4
4 4
4 3
4 3
2 4
3 4
5 4
3 3
4 3
3 3
2 2
3 2
5 2
1 2
5 4
2 3
1 1
3 2
3 3
2 3
3 3
4 2
4 5
5 3
4 4
2 1
2 2
3 3
2 5
3 3
1 3
2 2
3 2
3 5
1 4
5 4
2 3
1 4
1 1
1 4
5 5
1 1
2 4
1 1
3 2
2 4
3 3
4 5
5 5
4 3
2 3
2 4
5 5
2 4
1 3
4 4
1 1
3 2
1 1
2 4
3 4
3 3
3 4
2 4
3 3
4 5
5 5
4 3
2 3
2 4
5 5
2 4
4 4
5 4
2 3
1 4
1 1
1 4
5 5
3 3
4 5
5 5
4 3
2 3
2 4
5 5
2 4
1 3
4 4
1 1
3 2
1 1
2 4
3 4
3 3
3 4
2 4
3 3
4 5
5 5
4 3
2 3
2 4
5 5
2 4
2 4
1 1
2 4
3 4
3 3
total personality type
28 mix of type a and b
30 mix of type a and b
35 mix of type a and b
31 mix of type a and b
29 mix of type a and b
31 mix of type a and b
36 a
37 a
31 mix of type a and b
26 mix of type a and b
31 mix of type a and b
23 mix of type a and b
25 mix of type a and b
30 mix of type a and b
29 mix of type a and b
41 a
12 b
23 mix of type a and b
25 mix of type a and b
30 mix of type a and b
26 mix of type a and b
35 mix of type a and b
23 mix of type a and b
30 mix of type a and b
35 mix of type a and b
29 mix of type a and b
24 mix of type a and b
25 mix of type a and b
28 mix of type a and b
35 mix of type a and b
31 mix of type a and b
35 mix of type a and b
23 mix of type a and b
31 mix of type a and b
34 mix of type a and b
29 mix of type a and b
35 mix of type a and b
19 b
30 mix of type a and b
18 b
25 mix of type a and b
39 a
18 b
30 mix of type a and b
21 b
26 mix of type a and b
30 mix of type a and b
32 mix of type a and b
41 a
36 a
34 mix of type a and b
27 mix of type a and b
27 mix of type a and b
37 a
32 mix of type a and b
28 mix of type a and b
33 mix of type a and b
30 mix of type a and b
21 b
16 b
37 a
36 a
32 mix of type a and b
30 mix of type a and b
30 mix of type a and b
32 mix of type a and b
41 a
36 a
34 mix of type a and b
27 mix of type a and b
27 mix of type a and b
37 a
32 mix of type a and b
30 mix of type a and b
35 mix of type a and b
19 b
30 mix of type a and b
18 b
25 mix of type a and b
39 a
28 mix of type a and b
31 mix of type a and b
34 mix of type a and b
31 mix of type a and b
34 mix of type a and b
27 mix of type a and b
35 mix of type a and b
29 mix of type a and b
27 mix of type a and b
34 mix of type a and b
22 b
26 mix of type a and b
22 b
32 mix of type a and b
31 mix of type a and b
25 mix of type a and b
35 mix of type a and b
30 mix of type a and b
31 mix of type a and b
33 mix of type a and b
34 mix of type a and b
35 mix of type a and b
34 mix of type a and b
35 mix of type a and b
37 a
33 mix of type a and b
27 mix of type a and b
25 mix of type a and b
34 mix of type a and b
28 mix of type a and b
30 mix of type a and b
Count of sr personality type 16
Department Gender a b mix of type a Total
14
Result
DLHS 3 2 10 12 15
Female 1 2 7 10 10
Male 2 3 8 5
DOC 2 1 12 G
6 15
Female 1 10 4 11 pe
Male 2 2 2 4 b
MIT 2 6 33 0 41
Female 1 1 22 S24 i t
C IT LS pm ul
LH O M M es
Male 1 5 11 D 17 D Ta
l R
MLS 1 1 ta
To
Female 1 1
Tapmi 6 2 31 39
Female 4 1 23 28
Male 2 1 8 11
Total Result 14 11 86 111
 This shape represents a This shape represents a
slicer. Slicers are supported slicer. Slicers are supported
in Excel 2010 or later. in Excel 2010 or later.

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an earlier version of Excel, an earlier version of Excel,
Gender or if the workbook was saved or if the workbook was saved
personality type a in Excel
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M M
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Count of sr personality type 14%
Department Gender a b mix of type a Total Result
DLHS ### 1.80% 9.01% 12%
13.51%
Female ### 1.80% 6.31% 9.01%
Male ### 2.70% 10%4.50%
DOC ### 0.90% 10.81% 13.51%
Female 0.90% 9.01% 8% 9.91%
Male ### 1.80% 3.60% Ge
MIT ### 5.41% 29.73% 6% 36.94% pers
Female ### 0.90% 19.82% 21.62%
4% b
Male ### 4.50% 9.91% 15.32%
MLS ### 0.90%
2%
Female ### 0.90%
Tapmi ### 1.80% 27.93% 0% 35.14%
Female ### 0.90% 20.72% 25.23% i t
S C IT LS pm ul
Male ### 0.90% 7.21% LH
9.91% D
O M M a es
D T l R
Total Result ### 9.91% 77.48% 100.00% ta
To
 This shape represents a This shape represents a
slicer. Slicers are supported slicer. Slicers are supported
in Excel 2010 or later. in Excel 2010 or later.

If the shape was modified in If the shape was modified in

an earlier version of Excel, an earlier version of Excel,
or if the workbook was saved or if the workbook was saved
in Excel 2003 or earlier, the in Excel
This 2003
shape or earlier,
represents a the
slicer cannot be used. slicer cannot
slicer. Slicersbe
areused.
supported
Gender
in Excel 2010 or later.
personality type a
b This shape represents a
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in Excel 2010 or later. an earlier version of Excel,
or if the workbook was saved
If the shape was modified in in Excel 2003 or earlier, the
IT i l t slicer cannot be used.
LS pm su an earlier version of Excel,
M a e
T l R or if the workbook was saved
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slicer cannot be used.