Overview

Dataset statistics

Number of variables26
Number of observations89
Missing cells67
Missing cells (%)2.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.2 KiB
Average record size in memory209.4 B

Variable types

CAT21
NUM4
BOOL1

Reproduction

Analysis started2020-10-02 08:07:40.395820
Analysis finished2020-10-02 08:07:46.586874
Duration6.19 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

Current Academic Year : has constant value "2016" Constant
Draft has constant value "0" Constant
Name has a high cardinality: 84 distinct values High cardinality
Timestamp has a high cardinality: 88 distinct values High cardinality
Last Updated has a high cardinality: 88 distinct values High cardinality
IP has a high cardinality: 74 distinct values High cardinality
Updated By is highly correlated with Created ByHigh correlation
Created By is highly correlated with Updated ByHigh correlation
ID is highly correlated with df_indexHigh correlation
df_index is highly correlated with IDHigh correlation
Timestamp is highly correlated with Suggestions (If Any): and 1 other fieldsHigh correlation
Suggestions (If Any): is highly correlated with Timestamp and 2 other fieldsHigh correlation
Last Updated is highly correlated with Suggestions (If Any): and 1 other fieldsHigh correlation
IP is highly correlated with NameHigh correlation
Name is highly correlated with IPHigh correlation
Key is highly correlated with The course curriculum provides opportunities to develop employable skill in the student and 3 other fieldsHigh correlation
The course curriculum provides opportunities to develop employable skill in the student is highly correlated with KeyHigh correlation
Adequate exposure is provided to relevant software is highly correlated with KeyHigh correlation
The canteen facility was quite adequate is highly correlated with KeyHigh correlation
Suggestions (If Any): has 67 (75.3%) missing values Missing
Name is uniformly distributed Uniform
Suggestions (If Any): is uniformly distributed Uniform
Timestamp is uniformly distributed Uniform
Last Updated is uniformly distributed Uniform
df_index has unique values Unique
ID has unique values Unique
Key has unique values Unique

Variables

df_index
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count89
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231.6629213483146
Minimum5
Maximum464
Zeros0
Zeros (%)0.0%
Memory size712.0 B

Quantile statistics

Minimum5
5-th percentile32.4
Q1117
median234
Q3345
95-th percentile434
Maximum464
Range459
Interquartile range (IQR)228

Descriptive statistics

Standard deviation134.0389991
Coefficient of variation (CV)0.5785949615
Kurtosis-1.203058261
Mean231.6629213
Median Absolute Deviation (MAD)116
Skewness-0.009397606512
Sum20618
Variance17966.45327
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
12611.1%
 
31811.1%
 
3211.1%
 
3311.1%
 
3411.1%
 
3511.1%
 
3611.1%
 
3711.1%
 
29511.1%
 
17111.1%
 
Other values (79)7988.8%
 
ValueCountFrequency (%) 
511.1%
 
1311.1%
 
1711.1%
 
2411.1%
 
3211.1%
 
ValueCountFrequency (%) 
46411.1%
 
45911.1%
 
45511.1%
 
44811.1%
 
43611.1%
 

Name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct count84
Unique (%)94.4%
Missing0
Missing (%)0.0%
Memory size712.0 B
Dr Suneeta De
 
6
MD KERAMOT HOSSAIN MONDAL
 
1
Hiranmay Samaddar
 
1
amit kotal
 
1
Dr. Gour Sundar Mitra Thakur
 
1
Other values (79)
79
ValueCountFrequency (%) 
Dr Suneeta De66.7%
 
MD KERAMOT HOSSAIN MONDAL11.1%
 
Hiranmay Samaddar11.1%
 
amit kotal11.1%
 
Dr. Gour Sundar Mitra Thakur11.1%
 
Dr. Sabyasachi Chandra11.1%
 
CHANDAN PAUL11.1%
 
Dr. ALOKE SAHA11.1%
 
RAJIB KUMAR MONDAL11.1%
 
ANINDITA PAN11.1%
 
Other values (74)7483.1%
 

Length

Max length28
Median length15
Mean length15.98876404
Min length9

Current Academic Year :
Categorical

CONSTANT
REJECTED

Distinct count1
Unique (%)1.1%
Missing0
Missing (%)0.0%
Memory size712.0 B
2016
89
ValueCountFrequency (%) 
201689100.0%
 

Length

Max length4
Median length4
Mean length4
Min length4

Department.
Categorical

Distinct count10
Unique (%)11.2%
Missing0
Missing (%)0.0%
Memory size712.0 B
Basic Sciences and Humanities
15
Electrical Engineering
14
Civil Engineering
12
Computer Science Engineering
11
Information Technology
9
Other values (5)
28
ValueCountFrequency (%) 
Basic Sciences and Humanities1516.9%
 
Electrical Engineering1415.7%
 
Civil Engineering1213.5%
 
Computer Science Engineering1112.4%
 
Information Technology910.1%
 
Master of Computer Applications77.9%
 
Electronics and Instrumentation Engineering77.9%
 
Electronics and Communication Engineering66.7%
 
Mechanical Engineering55.6%
 
Masters of Business Administration33.4%
 

Length

Max length43
Median length28
Mean length27.29213483
Min length17

The course curriculum provides opportunities to develop employable skill in the student
Categorical

HIGH CORRELATION

Distinct count3
Unique (%)3.4%
Missing0
Missing (%)0.0%
Memory size712.0 B
Strongly Agree
42
Agree
40
Average
 
7
ValueCountFrequency (%) 
Strongly Agree4247.2%
 
Agree4044.9%
 
Average77.9%
 

Length

Max length14
Median length7
Mean length9.404494382
Min length5

The core courses offer an in-depth exposure to the subject
Categorical

Distinct count4
Unique (%)4.5%
Missing0
Missing (%)0.0%
Memory size712.0 B
Strongly Agree
43
Agree
40
Average
 
5
Disagree
 
1
ValueCountFrequency (%) 
Strongly Agree4348.3%
 
Agree4044.9%
 
Average55.6%
 
Disagree11.1%
 

Length

Max length14
Median length7
Mean length9.494382022
Min length5

Pre-requisite courses / topics are covered in the curriculum prior to introduction of a course
Categorical

Distinct count5
Unique (%)5.6%
Missing0
Missing (%)0.0%
Memory size712.0 B
Agree
50
Strongly Agree
34
Average
 
3
Disagree
 
1
Neutral
 
1
ValueCountFrequency (%) 
Agree5056.2%
 
Strongly Agree3438.2%
 
Average33.4%
 
Disagree11.1%
 
Neutral11.1%
 

Length

Max length14
Median length5
Mean length8.561797753
Min length5

Sufficient practical exposure is provided for the theoretical concepts in the courses
Categorical

Distinct count4
Unique (%)4.5%
Missing0
Missing (%)0.0%
Memory size712.0 B
Agree
42
Strongly Agree
37
Average
9
Neutral
 
1
ValueCountFrequency (%) 
Agree4247.2%
 
Strongly Agree3741.6%
 
Average910.1%
 
Neutral11.1%
 

Length

Max length14
Median length7
Mean length8.966292135
Min length5

Adequate exposure is provided to relevant software
Categorical

HIGH CORRELATION

Distinct count4
Unique (%)4.5%
Missing0
Missing (%)0.0%
Memory size712.0 B
Agree
53
Strongly Agree
21
Average
11
Neutral
 
4
ValueCountFrequency (%) 
Agree5359.6%
 
Strongly Agree2123.6%
 
Average1112.4%
 
Neutral44.5%
 

Length

Max length14
Median length5
Mean length7.460674157
Min length5

The courses enhance the analytical/ problem solving/ critical thinking/ innovative skills
Categorical

Distinct count4
Unique (%)4.5%
Missing0
Missing (%)0.0%
Memory size712.0 B
Agree
44
Strongly Agree
35
Average
9
Disagree
 
1
ValueCountFrequency (%) 
Agree4449.4%
 
Strongly Agree3539.3%
 
Average910.1%
 
Disagree11.1%
 

Length

Max length14
Median length7
Mean length8.775280899
Min length5

The college provide encouragement to all faculty members to participate in professional development and faculty development programme
Categorical

Distinct count3
Unique (%)3.4%
Missing0
Missing (%)0.0%
Memory size712.0 B
Strongly Agree
54
Agree
30
Average
 
5
ValueCountFrequency (%) 
Strongly Agree5460.7%
 
Agree3033.7%
 
Average55.6%
 

Length

Max length14
Median length14
Mean length10.57303371
Min length5

The college atmosphere is ambient to promote healthy teaching learning environment
Categorical

Distinct count3
Unique (%)3.4%
Missing0
Missing (%)0.0%
Memory size712.0 B
Strongly Agree
62
Agree
26
Neutral
 
1
ValueCountFrequency (%) 
Strongly Agree6269.7%
 
Agree2629.2%
 
Neutral11.1%
 

Length

Max length14
Median length14
Mean length11.29213483
Min length5

The university evaluation system is fair results always declared in time
Categorical

Distinct count3
Unique (%)3.4%
Missing0
Missing (%)0.0%
Memory size712.0 B
Agree
62
Strongly Agree
24
Average
 
3
ValueCountFrequency (%) 
Agree6269.7%
 
Strongly Agree2427.0%
 
Average33.4%
 

Length

Max length14
Median length5
Mean length7.494382022
Min length5

The canteen facility was quite adequate
Categorical

HIGH CORRELATION

Distinct count5
Unique (%)5.6%
Missing0
Missing (%)0.0%
Memory size712.0 B
Agree
43
Strongly Agree
22
Average
19
Neutral
 
4
Disagree
 
1
ValueCountFrequency (%) 
Agree4348.3%
 
Strongly Agree2224.7%
 
Average1921.3%
 
Neutral44.5%
 
Disagree11.1%
 

Length

Max length14
Median length7
Mean length7.775280899
Min length5

The college has different cell to promote research activity
Categorical

Distinct count4
Unique (%)4.5%
Missing0
Missing (%)0.0%
Memory size712.0 B
Agree
44
Strongly Agree
42
Average
 
2
Disagree
 
1
ValueCountFrequency (%) 
Agree4449.4%
 
Strongly Agree4247.2%
 
Average22.2%
 
Disagree11.1%
 

Length

Max length14
Median length7
Mean length9.325842697
Min length5

The evaluation system of the university was fair and results are declared in time
Categorical

Distinct count3
Unique (%)3.4%
Missing0
Missing (%)0.0%
Memory size712.0 B
Agree
57
Strongly Agree
26
Average
 
6
ValueCountFrequency (%) 
Agree5764.0%
 
Strongly Agree2629.2%
 
Average66.7%
 

Length

Max length14
Median length5
Mean length7.764044944
Min length5

Research and Development facilities are widely extended to all faculty members for research oriented projects.
Categorical

Distinct count4
Unique (%)4.5%
Missing0
Missing (%)0.0%
Memory size712.0 B
Agree
44
Strongly Agree
39
Average
 
5
Neutral
 
1
ValueCountFrequency (%) 
Agree4449.4%
 
Strongly Agree3943.8%
 
Average55.6%
 
Neutral11.1%
 

Length

Max length14
Median length7
Mean length9.078651685
Min length5

Suggestions (If Any):
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct count21
Unique (%)95.5%
Missing67
Missing (%)75.3%
Memory size712.0 B
no
 
2
One class on Research Methodology from 5th. Sem. may be introduced so that student can publish at least one paper in a Conference (IEEE) when they are studying in the final year. This drive will help our students in searching a suitable job and increase their interest in study.
 
1
MCA HU 101 is a sketchy content taught very fast because of the compressed semester available to MCA students. It's actually not enough.
 
1
na
 
1
Course contents need an overhaul.
 
1
Other values (16)
16
ValueCountFrequency (%) 
no22.2%
 
One class on Research Methodology from 5th. Sem. may be introduced so that student can publish at least one paper in a Conference (IEEE) when they are studying in the final year. This drive will help our students in searching a suitable job and increase their interest in study.11.1%
 
MCA HU 101 is a sketchy content taught very fast because of the compressed semester available to MCA students. It's actually not enough.11.1%
 
na11.1%
 
Course contents need an overhaul.11.1%
 
Students may be made more involved into project, research activity, making models and prototypes and they should be felt more responsible.11.1%
 
R&D facilities need more attention.11.1%
 
Course content may be augmented.11.1%
 
MB 102 Course is fantastic. But it needs a Soft Skills component to be excellent!11.1%
 
Effort from both end i.e. teacher end as well as student end must be enhanced to create proper academic ambience.11.1%
 
Other values (11)1112.4%
 
(Missing)6775.3%
 

Length

Max length346
Median length3
Mean length24.69662921
Min length2

Timestamp
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct count88
Unique (%)98.9%
Missing0
Missing (%)0.0%
Memory size712.0 B
2020-09-10 10:49:32
 
2
2020-09-09 05:20:07
 
1
2020-09-09 07:41:00
 
1
2020-09-08 13:57:38
 
1
2020-09-07 15:44:05
 
1
Other values (83)
83
ValueCountFrequency (%) 
2020-09-10 10:49:3222.2%
 
2020-09-09 05:20:0711.1%
 
2020-09-09 07:41:0011.1%
 
2020-09-08 13:57:3811.1%
 
2020-09-07 15:44:0511.1%
 
2020-09-08 11:46:5511.1%
 
2020-09-09 05:14:2111.1%
 
2020-09-05 14:28:5911.1%
 
2020-09-10 08:25:2911.1%
 
2020-09-10 05:16:0811.1%
 
Other values (78)7887.6%
 

Length

Max length19
Median length19
Mean length19
Min length19

Last Updated
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct count88
Unique (%)98.9%
Missing0
Missing (%)0.0%
Memory size712.0 B
2020-09-10 10:49:32
 
2
2020-09-09 05:20:07
 
1
2020-09-09 07:41:00
 
1
2020-09-08 13:57:38
 
1
2020-09-07 15:44:05
 
1
Other values (83)
83
ValueCountFrequency (%) 
2020-09-10 10:49:3222.2%
 
2020-09-09 05:20:0711.1%
 
2020-09-09 07:41:0011.1%
 
2020-09-08 13:57:3811.1%
 
2020-09-07 15:44:0511.1%
 
2020-09-08 11:46:5511.1%
 
2020-09-09 05:14:2111.1%
 
2020-09-05 14:28:5911.1%
 
2020-09-10 08:25:2911.1%
 
2020-09-10 05:16:0811.1%
 
Other values (78)7887.6%
 

Length

Max length19
Median length19
Mean length19
Min length19

Created By
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count84
Unique (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean781.943820224719
Minimum71
Maximum1351
Zeros0
Zeros (%)0.0%
Memory size712.0 B

Quantile statistics

Minimum71
5-th percentile78.4
Q1141
median1286
Q31325
95-th percentile1344.6
Maximum1351
Range1280
Interquartile range (IQR)1184

Descriptive statistics

Standard deviation573.8174868
Coefficient of variation (CV)0.733834672
Kurtosis-1.916116619
Mean781.9438202
Median Absolute Deviation (MAD)63
Skewness-0.1744994034
Sum69593
Variance329266.5082
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10066.7%
 
131311.1%
 
17111.1%
 
29911.1%
 
131511.1%
 
131711.1%
 
131811.1%
 
131911.1%
 
132311.1%
 
132111.1%
 
Other values (74)7483.1%
 
ValueCountFrequency (%) 
7111.1%
 
7311.1%
 
7411.1%
 
7511.1%
 
7811.1%
 
ValueCountFrequency (%) 
135111.1%
 
134911.1%
 
134811.1%
 
134611.1%
 
134511.1%
 

Updated By
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count84
Unique (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean781.943820224719
Minimum71
Maximum1351
Zeros0
Zeros (%)0.0%
Memory size712.0 B

Quantile statistics

Minimum71
5-th percentile78.4
Q1141
median1286
Q31325
95-th percentile1344.6
Maximum1351
Range1280
Interquartile range (IQR)1184

Descriptive statistics

Standard deviation573.8174868
Coefficient of variation (CV)0.733834672
Kurtosis-1.916116619
Mean781.9438202
Median Absolute Deviation (MAD)63
Skewness-0.1744994034
Sum69593
Variance329266.5082
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10066.7%
 
131311.1%
 
17111.1%
 
29911.1%
 
131511.1%
 
131711.1%
 
131811.1%
 
131911.1%
 
132311.1%
 
132111.1%
 
Other values (74)7483.1%
 
ValueCountFrequency (%) 
7111.1%
 
7311.1%
 
7411.1%
 
7511.1%
 
7811.1%
 
ValueCountFrequency (%) 
135111.1%
 
134911.1%
 
134811.1%
 
134611.1%
 
134511.1%
 

Draft
Boolean

CONSTANT
REJECTED

Distinct count1
Unique (%)1.1%
Missing0
Missing (%)0.0%
Memory size712.0 B
0
89
ValueCountFrequency (%) 
089100.0%
 

IP
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct count74
Unique (%)83.1%
Missing0
Missing (%)0.0%
Memory size712.0 B
136.232.11.78
 
6
117.214.68.203
 
6
103.102.123.142
 
4
45.116.191.241
 
2
117.211.86.109
 
2
Other values (69)
69
ValueCountFrequency (%) 
136.232.11.7866.7%
 
117.214.68.20366.7%
 
103.102.123.14244.5%
 
45.116.191.24122.2%
 
117.211.86.10922.2%
 
2409:4061:2d9a:2b02::ba88:ec0111.1%
 
202.142.81.9711.1%
 
117.203.151.3111.1%
 
2409:4061:68c:d960:41b2:6f59:480d:90d311.1%
 
42.110.194.24111.1%
 
Other values (64)6471.9%
 

Length

Max length39
Median length15
Mean length24.94382022
Min length12

ID
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count89
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2337.0561797752807
Minimum2070
Maximum2588
Zeros0
Zeros (%)0.0%
Memory size712.0 B

Quantile statistics

Minimum2070
5-th percentile2104.4
Q12216
median2340
Q32461
95-th percentile2559.6
Maximum2588
Range518
Interquartile range (IQR)245

Descriptive statistics

Standard deviation148.3888748
Coefficient of variation (CV)0.06349392715
Kurtosis-1.137241356
Mean2337.05618
Median Absolute Deviation (MAD)124
Skewness-0.07769148569
Sum207998
Variance22019.25817
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
217411.1%
 
210611.1%
 
233611.1%
 
220911.1%
 
208211.1%
 
243411.1%
 
234011.1%
 
208611.1%
 
221611.1%
 
247311.1%
 
Other values (79)7988.8%
 
ValueCountFrequency (%) 
207011.1%
 
208211.1%
 
208611.1%
 
209511.1%
 
210411.1%
 
ValueCountFrequency (%) 
258811.1%
 
258311.1%
 
257911.1%
 
257111.1%
 
256211.1%
 

Key
Categorical

HIGH CORRELATION
UNIQUE

Distinct count89
Unique (%)100.0%
Missing0
Missing (%)0.0%
Memory size712.0 B
f3kdr
 
1
8keie
 
1
qxky1
 
1
zkqov
 
1
e81xf
 
1
Other values (84)
84
ValueCountFrequency (%) 
f3kdr11.1%
 
8keie11.1%
 
qxky111.1%
 
zkqov11.1%
 
e81xf11.1%
 
jhmoj11.1%
 
zlnsp11.1%
 
w63v911.1%
 
tte1n11.1%
 
pt4h611.1%
 
Other values (79)7988.8%
 

Length

Max length5
Median length5
Mean length4.988764045
Min length4

Interactions

Correlations

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

Sample

First rows

df_indexNameCurrent Academic Year :Department.The course curriculum provides opportunities to develop employable skill in the studentThe core courses offer an in-depth exposure to the subjectPre-requisite courses / topics are covered in the curriculum prior to introduction of a courseSufficient practical exposure is provided for the theoretical concepts in the coursesAdequate exposure is provided to relevant softwareThe courses enhance the analytical/ problem solving/ critical thinking/ innovative skillsThe college provide encouragement to all faculty members to participate in professional development and faculty development programmeThe college atmosphere is ambient to promote healthy teaching learning environmentThe university evaluation system is fair results always declared in timeThe canteen facility was quite adequateThe college has different cell to promote research activityThe evaluation system of the university was fair and results are declared in timeResearch and Development facilities are widely extended to all faculty members for research oriented projects.Suggestions (If Any):TimestampLast UpdatedCreated ByUpdated ByDraftIPIDKey
05SIDDHARTHA BHOWMICK2016Mechanical EngineeringStrongly AgreeStrongly AgreeAgreeAgreeAgreeAgreeAgreeStrongly AgreeAgreeAgreeAgreeAgreeAgreeNaN2020-09-03 15:54:202020-09-03 15:54:2014214202401:4900:3828:527:b036:1a24:9a44:80292070zzfv2
113DR. JAYANTA PAL2016Basic Sciences and HumanitiesAgreeAgreeAverageAgreeAgreeAgreeAgreeStrongly AgreeAgreeAgreeStrongly AgreeAgreeAgreeNaN2020-09-04 06:25:132020-09-04 06:25:135825820136.232.11.782082285lc
217ANANDAPROVA MAJUMDER2016Computer Science EngineeringAgreeAgreeStrongly AgreeAgreeStrongly AgreeAgreeStrongly AgreeStrongly AgreeAgreeAgreeStrongly AgreeAgreeAgreeNaN2020-09-04 07:48:442020-09-04 07:48:44207207042.110.206.122086uthkw
324Dr. Chandan Kumar Ghosh2016Electronics and Communication EngineeringAgreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeNeutralAgreeAgreeAgreeNaN2020-09-04 09:11:382020-09-04 09:11:3879790103.102.123.142209510xx4
432Dr Suneeta De2016Computer Science EngineeringAverageAverageAgreeAverageAverageAverageAgreeAgreeAgreeAverageAgreeAgreeAgreeEnglish for Engineers course could use restructuring.2020-09-04 11:32:512020-09-04 11:32:511001000117.214.68.2032104ykt1y
533Dr Suneeta De2016Information TechnologyAverageAverageAgreeAverageAverageAverageAgreeAgreeAgreeAverageAgreeAgreeAgreeCourse content may be augmented.2020-09-04 11:34:042020-09-04 11:34:041001000117.214.68.20321055tthz
634Dr Suneeta De2016Electronics and Instrumentation EngineeringAverageAverageAgreeAverageAverageAverageAgreeAgreeAgreeAverageAgreeAgreeAgreeCourse contents need an overhaul.2020-09-04 11:35:342020-09-04 11:35:341001000117.214.68.2032106ds6ml
735Dr Suneeta De2016Masters of Business AdministrationAgreeAgreeAgreeNeutralNeutralAgreeAgreeAgreeAgreeAverageAgreeAgreeAgreeMB 102 Course is fantastic. But it needs a Soft Skills component to be excellent!2020-09-04 11:43:072020-09-04 11:43:071001000117.214.68.20321089k2ja
836Dr Suneeta De2016Mechanical EngineeringAverageAverageAgreeAverageAverageAverageAgreeAgreeAgreeAverageAgreeAgreeAgreeCourse content of HU 101 is not very Industry compliant.2020-09-04 11:46:032020-09-04 11:46:031001000117.214.68.2032109rkn3b
937Dr Suneeta De2016Master of Computer ApplicationsAverageAverageAgreeAverageAverageAverageAgreeAgreeAgreeAverageAgreeAgreeAgreeMCA HU 101 is a sketchy content taught very fast because of the compressed semester available to MCA students. It's actually not enough.2020-09-04 11:48:522020-09-04 11:48:521001000117.214.68.2032110hbz2p

Last rows

df_indexNameCurrent Academic Year :Department.The course curriculum provides opportunities to develop employable skill in the studentThe core courses offer an in-depth exposure to the subjectPre-requisite courses / topics are covered in the curriculum prior to introduction of a courseSufficient practical exposure is provided for the theoretical concepts in the coursesAdequate exposure is provided to relevant softwareThe courses enhance the analytical/ problem solving/ critical thinking/ innovative skillsThe college provide encouragement to all faculty members to participate in professional development and faculty development programmeThe college atmosphere is ambient to promote healthy teaching learning environmentThe university evaluation system is fair results always declared in timeThe canteen facility was quite adequateThe college has different cell to promote research activityThe evaluation system of the university was fair and results are declared in timeResearch and Development facilities are widely extended to all faculty members for research oriented projects.Suggestions (If Any):TimestampLast UpdatedCreated ByUpdated ByDraftIPIDKey
79408SUKARNA DEY MONDAL2016Basic Sciences and HumanitiesAgreeAgreeStrongly AgreeStrongly AgreeAgreeAgreeStrongly AgreeStrongly AgreeAverageAverageStrongly AgreeAverageStrongly AgreeNaN2020-09-10 10:49:322020-09-10 10:49:32868602401:4900:3829:77a:5db:48f5:d051:478e2529khr4h
80416Ankita Som2016Civil EngineeringAgreeStrongly AgreeAgreeStrongly AgreeStrongly AgreeStrongly AgreeStrongly AgreeStrongly AgreeAgreeStrongly AgreeStrongly AgreeAgreeStrongly AgreeNaN2020-09-10 11:06:172020-09-10 11:06:171801800103.10.211.1492537b1un9
81421Rajib Banerjee2016Electronics and Communication EngineeringStrongly AgreeAgreeStrongly AgreeStrongly AgreeStrongly AgreeAgreeAverageStrongly AgreeAgreeAverageAgreeAgreeAgreeNaN2020-09-10 18:00:282020-09-10 18:00:28134813480117.203.151.312562utu4r
82423SANDIP MUKHERJEE2016Masters of Business AdministrationAgreeStrongly AgreeStrongly AgreeAgreeAgreeAgreeAgreeStrongly AgreeStrongly AgreeStrongly AgreeAgreeStrongly AgreeAverageR&D facilities need more attention.2020-09-10 13:02:552020-09-10 13:02:551346134602409:4061:488:3e52:cd06:3df:cea4:afa52543olz72
83431Debipriya Dutta2016Electronics and Communication EngineeringAgreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeNaN2020-09-10 15:42:172020-09-10 15:42:17134913490103.219.44.20825519fsx0
84436Dr. Sabyasachi Chandra2016Civil EngineeringAgreeStrongly AgreeStrongly AgreeStrongly AgreeAgreeStrongly AgreeStrongly AgreeStrongly AgreeAgreeAgreeStrongly AgreeAgreeStrongly AgreeNaN2020-09-10 16:52:022020-09-10 16:52:021286128602409:4061:2e08:115c:3870:460d:b9be:ee9d2556p1bjm
85448Ritu Rani De(Maity)2016Electronics and Instrumentation EngineeringAgreeAgreeAverageAgreeAgreeStrongly AgreeAgreeStrongly AgreeAgreeAgreeStrongly AgreeStrongly AgreeStrongly AgreeCourses more practical examples needs to be included and updated.2020-09-10 19:12:572020-09-10 19:12:571351135102409:4061:2e03:cb79:38dd:bd44:2aff:6e482571cnbze
86455ARIJIT KUMAR BANERJI2016Civil EngineeringAgreeAgreeAgreeAgreeAgreeAgreeStrongly AgreeAgreeAgreeAgreeAgreeAgreeAgreeNaN2020-09-11 04:50:132020-09-11 04:50:1317417402401:4900:382f:23b4:c897:1136:eb8d:a57825798aslh
87459Dr. Sumit Banerjee2016Electrical EngineeringStrongly AgreeAgreeStrongly AgreeStrongly AgreeAgreeAgreeStrongly AgreeStrongly AgreeAgreeAgreeAgreeAgreeStrongly AgreeNaN2020-09-11 05:47:212020-09-11 05:47:211318131802409:4061:782:467e:d8f8:a69:55b1:5c1725838bfne
88464SNEHASHIS GHOSHAL2016Electrical EngineeringAgreeStrongly AgreeAgreeStrongly AgreeAgreeStrongly AgreeStrongly AgreeStrongly AgreeAgreeAgreeAgreeAgreeStrongly AgreeNaN2020-09-11 07:34:432020-09-11 07:34:431721720103.148.183.22588idtjt