Overview

Dataset statistics

Number of variables26
Number of observations93
Missing cells75
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.0 KiB
Average record size in memory209.4 B

Variable types

CAT21
NUM4
BOOL1

Reproduction

Analysis started2020-10-02 08:08:02.516577
Analysis finished2020-10-02 08:08:08.407493
Duration5.89 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 "2017" Constant
Draft has constant value "0" Constant
Name has a high cardinality: 87 distinct values High cardinality
IP has a high cardinality: 77 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 Name and 8 other fieldsHigh correlation
Name is highly correlated with Timestamp and 2 other fieldsHigh correlation
Department. is highly correlated with Timestamp and 2 other fieldsHigh correlation
The course curriculum provides opportunities to develop employable skill in the student is highly correlated with Timestamp and 2 other fieldsHigh correlation
The core courses offer an in-depth exposure to the subject is highly correlated with Timestamp and 2 other fieldsHigh correlation
The courses enhance the analytical/ problem solving/ critical thinking/ innovative skills is highly correlated with Timestamp and 1 other fieldsHigh correlation
Suggestions (If Any): is highly correlated with Timestamp and 2 other fieldsHigh correlation
Last Updated is highly correlated with Name and 8 other fieldsHigh correlation
IP is highly correlated with Timestamp and 2 other fieldsHigh correlation
Key is highly correlated with Name and 10 other fieldsHigh correlation
The canteen facility was quite adequate is highly correlated with KeyHigh correlation
The college has different cell to promote research activity is highly correlated with KeyHigh correlation
The evaluation system of the university was fair and results are declared in time is highly correlated with KeyHigh correlation
Suggestions (If Any): has 75 (80.6%) missing values Missing
Name is uniformly distributed Uniform
Suggestions (If Any): is uniformly distributed Uniform
df_index has unique values Unique
Timestamp has unique values Unique
Last Updated 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 count93
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean232.19354838709677
Minimum2
Maximum463
Zeros0
Zeros (%)0.0%
Memory size744.0 B

Quantile statistics

Minimum2
5-th percentile32
Q1121
median230
Q3346
95-th percentile438.2
Maximum463
Range461
Interquartile range (IQR)225

Descriptive statistics

Standard deviation132.889318
Coefficient of variation (CV)0.5723213194
Kurtosis-1.163558271
Mean232.1935484
Median Absolute Deviation (MAD)114
Skewness0.0007608290099
Sum21594
Variance17659.57083
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
12711.1%
 
38711.1%
 
15811.1%
 
41711.1%
 
16211.1%
 
16411.1%
 
3811.1%
 
3911.1%
 
4011.1%
 
4111.1%
 
Other values (83)8389.2%
 
ValueCountFrequency (%) 
211.1%
 
611.1%
 
1211.1%
 
1811.1%
 
2311.1%
 
ValueCountFrequency (%) 
46311.1%
 
45811.1%
 
45411.1%
 
44711.1%
 
44011.1%
 

Name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct count87
Unique (%)93.5%
Missing0
Missing (%)0.0%
Memory size744.0 B
Dr Suneeta De
 
5
Dr. Saurav Ranjan Das
 
2
PRANOY ROY
 
2
Dr. Sukalpa Dey
 
1
amit kotal
 
1
Other values (82)
82
ValueCountFrequency (%) 
Dr Suneeta De55.4%
 
Dr. Saurav Ranjan Das22.2%
 
PRANOY ROY22.2%
 
Dr. Sukalpa Dey11.1%
 
amit kotal11.1%
 
SANDIP MUKHERJEE11.1%
 
CHANDAN PAUL11.1%
 
Dr. ALOKE SAHA11.1%
 
RAJIB KUMAR MONDAL11.1%
 
ANINDITA PAN11.1%
 
Other values (77)7782.8%
 

Length

Max length28
Median length15
Mean length15.98924731
Min length9

Current Academic Year :
Categorical

CONSTANT
REJECTED

Distinct count1
Unique (%)1.1%
Missing0
Missing (%)0.0%
Memory size744.0 B
2017
93
ValueCountFrequency (%) 
201793100.0%
 

Length

Max length4
Median length4
Mean length4
Min length4

Department.
Categorical

HIGH CORRELATION

Distinct count10
Unique (%)10.8%
Missing0
Missing (%)0.0%
Memory size744.0 B
Basic Sciences and Humanities
15
Civil Engineering
15
Electrical Engineering
13
Computer Science Engineering
11
Information Technology
9
Other values (5)
30
ValueCountFrequency (%) 
Basic Sciences and Humanities1516.1%
 
Civil Engineering1516.1%
 
Electrical Engineering1314.0%
 
Computer Science Engineering1111.8%
 
Information Technology99.7%
 
Mechanical Engineering88.6%
 
Electronics and Communication Engineering77.5%
 
Master of Computer Applications77.5%
 
Electronics and Instrumentation Engineering66.5%
 
Masters of Business Administration22.2%
 

Length

Max length43
Median length28
Mean length26.75268817
Min length17

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

HIGH CORRELATION

Distinct count3
Unique (%)3.2%
Missing0
Missing (%)0.0%
Memory size744.0 B
Strongly Agree
44
Agree
44
Average
 
5
ValueCountFrequency (%) 
Strongly Agree4447.3%
 
Agree4447.3%
 
Average55.4%
 

Length

Max length14
Median length7
Mean length9.365591398
Min length5

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

HIGH CORRELATION

Distinct count4
Unique (%)4.3%
Missing0
Missing (%)0.0%
Memory size744.0 B
Strongly Agree
47
Agree
40
Average
 
5
Disagree
 
1
ValueCountFrequency (%) 
Strongly Agree4750.5%
 
Agree4043.0%
 
Average55.4%
 
Disagree11.1%
 

Length

Max length14
Median length14
Mean length9.688172043
Min length5

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

Distinct count4
Unique (%)4.3%
Missing0
Missing (%)0.0%
Memory size744.0 B
Agree
53
Strongly Agree
34
Average
 
4
Neutral
 
2
ValueCountFrequency (%) 
Agree5357.0%
 
Strongly Agree3436.6%
 
Average44.3%
 
Neutral22.2%
 

Length

Max length14
Median length5
Mean length8.419354839
Min length5

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

Distinct count3
Unique (%)3.2%
Missing0
Missing (%)0.0%
Memory size744.0 B
Agree
44
Strongly Agree
40
Average
9
ValueCountFrequency (%) 
Agree4447.3%
 
Strongly Agree4043.0%
 
Average99.7%
 

Length

Max length14
Median length7
Mean length9.064516129
Min length5

Adequate exposure is provided to relevant software
Categorical

Distinct count4
Unique (%)4.3%
Missing0
Missing (%)0.0%
Memory size744.0 B
Agree
54
Strongly Agree
25
Average
12
Neutral
 
2
ValueCountFrequency (%) 
Agree5458.1%
 
Strongly Agree2526.9%
 
Average1212.9%
 
Neutral22.2%
 

Length

Max length14
Median length5
Mean length7.720430108
Min length5

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

HIGH CORRELATION

Distinct count4
Unique (%)4.3%
Missing0
Missing (%)0.0%
Memory size744.0 B
Agree
47
Strongly Agree
37
Average
 
7
Disagree
 
2
ValueCountFrequency (%) 
Agree4750.5%
 
Strongly Agree3739.8%
 
Average77.5%
 
Disagree22.2%
 

Length

Max length14
Median length5
Mean length8.795698925
Min length5

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

Distinct count3
Unique (%)3.2%
Missing0
Missing (%)0.0%
Memory size744.0 B
Strongly Agree
56
Agree
31
Average
 
6
ValueCountFrequency (%) 
Strongly Agree5660.2%
 
Agree3133.3%
 
Average66.5%
 

Length

Max length14
Median length14
Mean length10.5483871
Min length5

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

Distinct count3
Unique (%)3.2%
Missing0
Missing (%)0.0%
Memory size744.0 B
Strongly Agree
65
Agree
27
Disagree
 
1
ValueCountFrequency (%) 
Strongly Agree6569.9%
 
Agree2729.0%
 
Disagree11.1%
 

Length

Max length14
Median length14
Mean length11.32258065
Min length5

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

Distinct count4
Unique (%)4.3%
Missing0
Missing (%)0.0%
Memory size744.0 B
Agree
62
Strongly Agree
26
Average
 
4
Neutral
 
1
ValueCountFrequency (%) 
Agree6266.7%
 
Strongly Agree2628.0%
 
Average44.3%
 
Neutral11.1%
 

Length

Max length14
Median length5
Mean length7.623655914
Min length5

The canteen facility was quite adequate
Categorical

HIGH CORRELATION

Distinct count5
Unique (%)5.4%
Missing0
Missing (%)0.0%
Memory size744.0 B
Agree
52
Strongly Agree
22
Average
15
Neutral
 
3
Disagree
 
1
ValueCountFrequency (%) 
Agree5255.9%
 
Strongly Agree2223.7%
 
Average1516.1%
 
Neutral33.2%
 
Disagree11.1%
 

Length

Max length14
Median length5
Mean length7.548387097
Min length5

The college has different cell to promote research activity
Categorical

HIGH CORRELATION

Distinct count4
Unique (%)4.3%
Missing0
Missing (%)0.0%
Memory size744.0 B
Strongly Agree
52
Agree
37
Neutral
 
2
Average
 
2
ValueCountFrequency (%) 
Strongly Agree5255.9%
 
Agree3739.8%
 
Neutral22.2%
 
Average22.2%
 

Length

Max length14
Median length14
Mean length10.11827957
Min length5

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

HIGH CORRELATION

Distinct count3
Unique (%)3.2%
Missing0
Missing (%)0.0%
Memory size744.0 B
Agree
59
Strongly Agree
28
Average
 
6
ValueCountFrequency (%) 
Agree5963.4%
 
Strongly Agree2830.1%
 
Average66.5%
 

Length

Max length14
Median length5
Mean length7.838709677
Min length5

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

Distinct count3
Unique (%)3.2%
Missing0
Missing (%)0.0%
Memory size744.0 B
Strongly Agree
48
Agree
39
Average
 
6
ValueCountFrequency (%) 
Strongly Agree4851.6%
 
Agree3941.9%
 
Average66.5%
 

Length

Max length14
Median length14
Mean length9.774193548
Min length5

Suggestions (If Any):
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct count16
Unique (%)88.9%
Missing75
Missing (%)80.6%
Memory size744.0 B
no
3
Modifie syllabus
 
1
Student attendance in the classroom should be improved to promote healthy academic environment.
 
1
Course requires to be updated
 
1
Course content needs to be restructured for Industry compliance.
 
1
Other values (11)
11
ValueCountFrequency (%) 
no33.2%
 
Modifie syllabus11.1%
 
Student attendance in the classroom should be improved to promote healthy academic environment.11.1%
 
Course requires to be updated11.1%
 
Course content needs to be restructured for Industry compliance.11.1%
 
Overall good11.1%
 
na11.1%
 
Course content needs a reval.11.1%
 
Time available in this semester is a constraint to student'skill development in this course.11.1%
 
Course content needs to be augmented.11.1%
 
Other values (6)66.5%
 
(Missing)7580.6%
 

Length

Max length284
Median length3
Mean length16.22580645
Min length2

Timestamp
Categorical

HIGH CORRELATION
UNIQUE

Distinct count93
Unique (%)100.0%
Missing0
Missing (%)0.0%
Memory size744.0 B
2020-09-09 14:35:21
 
1
2020-09-09 14:27:54
 
1
2020-09-06 15:53:45
 
1
2020-09-08 14:26:12
 
1
2020-09-04 16:00:56
 
1
Other values (88)
88
ValueCountFrequency (%) 
2020-09-09 14:35:2111.1%
 
2020-09-09 14:27:5411.1%
 
2020-09-06 15:53:4511.1%
 
2020-09-08 14:26:1211.1%
 
2020-09-04 16:00:5611.1%
 
2020-09-04 16:16:1711.1%
 
2020-09-09 05:21:3811.1%
 
2020-09-08 06:55:3111.1%
 
2020-09-09 11:12:0311.1%
 
2020-09-11 05:46:0411.1%
 
Other values (83)8389.2%
 

Length

Max length19
Median length19
Mean length19
Min length19

Last Updated
Categorical

HIGH CORRELATION
UNIQUE

Distinct count93
Unique (%)100.0%
Missing0
Missing (%)0.0%
Memory size744.0 B
2020-09-09 14:35:21
 
1
2020-09-09 14:27:54
 
1
2020-09-06 15:53:45
 
1
2020-09-08 14:26:12
 
1
2020-09-04 16:00:56
 
1
Other values (88)
88
ValueCountFrequency (%) 
2020-09-09 14:35:2111.1%
 
2020-09-09 14:27:5411.1%
 
2020-09-06 15:53:4511.1%
 
2020-09-08 14:26:1211.1%
 
2020-09-04 16:00:5611.1%
 
2020-09-04 16:16:1711.1%
 
2020-09-09 05:21:3811.1%
 
2020-09-08 06:55:3111.1%
 
2020-09-09 11:12:0311.1%
 
2020-09-11 05:46:0411.1%
 
Other values (83)8389.2%
 

Length

Max length19
Median length19
Mean length19
Min length19

Created By
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count87
Unique (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean782.0752688172043
Minimum71
Maximum1351
Zeros0
Zeros (%)0.0%
Memory size744.0 B

Quantile statistics

Minimum71
5-th percentile78
Q1141
median1286
Q31324
95-th percentile1344.4
Maximum1351
Range1280
Interquartile range (IQR)1183

Descriptive statistics

Standard deviation572.5451233
Coefficient of variation (CV)0.7320844247
Kurtosis-1.908988412
Mean782.0752688
Median Absolute Deviation (MAD)63
Skewness-0.1754580955
Sum72733
Variance327807.9182
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10055.4%
 
46222.2%
 
7822.2%
 
133011.1%
 
17711.1%
 
16111.1%
 
29911.1%
 
131511.1%
 
131711.1%
 
131811.1%
 
Other values (77)7782.8%
 
ValueCountFrequency (%) 
7111.1%
 
7311.1%
 
7411.1%
 
7511.1%
 
7822.2%
 
ValueCountFrequency (%) 
135111.1%
 
134911.1%
 
134811.1%
 
134611.1%
 
134511.1%
 

Updated By
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count87
Unique (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean782.0752688172043
Minimum71
Maximum1351
Zeros0
Zeros (%)0.0%
Memory size744.0 B

Quantile statistics

Minimum71
5-th percentile78
Q1141
median1286
Q31324
95-th percentile1344.4
Maximum1351
Range1280
Interquartile range (IQR)1183

Descriptive statistics

Standard deviation572.5451233
Coefficient of variation (CV)0.7320844247
Kurtosis-1.908988412
Mean782.0752688
Median Absolute Deviation (MAD)63
Skewness-0.1754580955
Sum72733
Variance327807.9182
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10055.4%
 
46222.2%
 
7822.2%
 
133011.1%
 
17711.1%
 
16111.1%
 
29911.1%
 
131511.1%
 
131711.1%
 
131811.1%
 
Other values (77)7782.8%
 
ValueCountFrequency (%) 
7111.1%
 
7311.1%
 
7411.1%
 
7511.1%
 
7822.2%
 
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 size744.0 B
0
93
ValueCountFrequency (%) 
093100.0%
 

IP
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct count77
Unique (%)82.8%
Missing0
Missing (%)0.0%
Memory size744.0 B
136.232.11.78
 
7
103.102.123.142
 
5
117.214.68.203
 
5
117.211.86.109
 
2
45.116.191.241
 
2
Other values (72)
72
ValueCountFrequency (%) 
136.232.11.7877.5%
 
103.102.123.14255.4%
 
117.214.68.20355.4%
 
117.211.86.10922.2%
 
45.116.191.24122.2%
 
2401:4900:3b71:ff8:25f3:e5b1:e088:25b211.1%
 
117.227.119.16611.1%
 
2409:4061:782:467e:d8f8:a69:55b1:5c1711.1%
 
2409:4061:2e82:bde9:9bc:2662:f321:213311.1%
 
2409:4061:2e13:fa92::7309:161011.1%
 
Other values (67)6772.0%
 

Length

Max length39
Median length15
Mean length25.25806452
Min length12

ID
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count93
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2337.3870967741937
Minimum2066
Maximum2587
Zeros0
Zeros (%)0.0%
Memory size744.0 B

Quantile statistics

Minimum2066
5-th percentile2104.2
Q12220
median2335
Q32462
95-th percentile2559.4
Maximum2587
Range521
Interquartile range (IQR)242

Descriptive statistics

Standard deviation146.8200638
Coefficient of variation (CV)0.06281375644
Kurtosis-1.092199162
Mean2337.387097
Median Absolute Deviation (MAD)123
Skewness-0.0763405597
Sum217377
Variance21556.13114
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
230311.1%
 
235011.1%
 
233511.1%
 
235411.1%
 
208111.1%
 
221011.1%
 
234111.1%
 
208711.1%
 
244811.1%
 
247511.1%
 
Other values (83)8389.2%
 
ValueCountFrequency (%) 
206611.1%
 
207111.1%
 
208111.1%
 
208711.1%
 
209411.1%
 
ValueCountFrequency (%) 
258711.1%
 
258211.1%
 
257811.1%
 
257011.1%
 
256311.1%
 

Key
Categorical

HIGH CORRELATION
UNIQUE

Distinct count93
Unique (%)100.0%
Missing0
Missing (%)0.0%
Memory size744.0 B
wbqvy
 
1
tds9h
 
1
yxxu3
 
1
xcyu8
 
1
fgg9g
 
1
Other values (88)
88
ValueCountFrequency (%) 
wbqvy11.1%
 
tds9h11.1%
 
yxxu311.1%
 
xcyu811.1%
 
fgg9g11.1%
 
oxfx411.1%
 
tucnc11.1%
 
3e434a11.1%
 
tck4s11.1%
 
qfsyn11.1%
 
Other values (83)8389.2%
 

Length

Max length6
Median length5
Mean length4.989247312
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
02Dr. Saurav Ranjan Das2017Mechanical EngineeringStrongly AgreeStrongly AgreeStrongly AgreeStrongly AgreeStrongly AgreeStrongly AgreeStrongly AgreeStrongly AgreeStrongly AgreeStrongly AgreeStrongly AgreeStrongly AgreeStrongly AgreeTeacher student interaction should be improved. Some student council may be made with faculty mentor for the purpose of resolving student issues in a better manner.2020-09-03 14:38:392020-09-03 14:38:397878042.110.206.1802066dsqk7
16SIDDHARTHA BHOWMICK2017Mechanical EngineeringStrongly AgreeStrongly AgreeAgreeAgreeAgreeAgreeAgreeStrongly AgreeAgreeAgreeAgreeAgreeAgreeNaN2020-09-03 15:55:392020-09-03 15:55:3914214202401:4900:3828:527:b036:1a24:9a44:80292071xcyu8
212DR. JAYANTA PAL2017Basic Sciences and HumanitiesAgreeAgreeAverageAgreeAgreeAgreeStrongly AgreeStrongly AgreeAgreeAgreeStrongly AgreeAgreeStrongly AgreeNaN2020-09-04 06:23:512020-09-04 06:23:515825820136.232.11.782081ahte0
318ANANDAPROVA MAJUMDER2017Computer Science EngineeringAgreeStrongly AgreeAgreeStrongly AgreeAgreeStrongly AgreeAgreeStrongly AgreeAgreeAgreeStrongly AgreeAgreeStrongly AgreeNaN2020-09-04 07:49:442020-09-04 07:49:44207207042.110.206.1220874wua6
423Dr. Chandan Kumar Ghosh2017Electronics and Communication EngineeringAgreeAgreeAgreeAgreeAgreeAgreeAverageAgreeAgreeNeutralAgreeAgreeAgreeNaN2020-09-04 09:10:162020-09-04 09:10:1679790103.102.123.1422094rnfja
538Dr Suneeta De2017Computer Science EngineeringAverageAverageAgreeAverageAverageAverageAgreeAgreeAgreeAverageAgreeAgreeAgreeCourse content needs to be augmented.2020-09-04 11:50:092020-09-04 11:50:091001000117.214.68.20321119rbsw
639Dr Suneeta De2017Information TechnologyAverageAverageAgreeAverageAverageAverageAgreeAgreeAgreeAverageAgreeAgreeAgreeCourse content needs to be restructured for Industry compliance.2020-09-04 11:51:512020-09-04 11:51:511001000117.214.68.2032112mhq0c
740Dr Suneeta De2017Electronics and Communication EngineeringAverageAverageAverageAgreeAverageAverageAgreeAgreeAgreeAverageAgreeAgreeAgreeCourse content needs a reval.2020-09-04 11:53:042020-09-04 11:53:041001000117.214.68.20321138vx5s
841Dr Suneeta De2017Mechanical EngineeringAverageAverageAgreeAverageAverageAverageAgreeAgreeAgreeAverageAgreeAgreeAgreeCourse content needs a revisiting.2020-09-04 11:54:302020-09-04 11:54:301001000117.214.68.2032114y7k5k
942Dr Suneeta De2017Master of Computer ApplicationsAgreeAverageAgreeAverageAverageAverageAgreeAgreeAgreeAverageAgreeAgreeAgreeTime available in this semester is a constraint to student'skill development in this course.2020-09-04 11:56:542020-09-04 11:56:541001000117.214.68.2032115szhqk

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
83410Jaya Mukhopadhyay2017Basic Sciences and HumanitiesAgreeAgreeStrongly AgreeStrongly AgreeAverageStrongly AgreeStrongly AgreeAgreeAgreeAgreeStrongly AgreeAgreeStrongly AgreeNaN2020-09-10 10:51:102020-09-10 10:51:102992990117.211.86.1092531zf16j
84417Ankita Som2017Civil EngineeringStrongly AgreeStrongly AgreeStrongly AgreeStrongly AgreeAgreeAgreeStrongly AgreeStrongly AgreeAgreeAgreeStrongly AgreeAgreeStrongly AgreeNaN2020-09-10 11:12:332020-09-10 11:12:331801800103.10.211.1492538vckzs
85424SANDIP MUKHERJEE2017Masters of Business AdministrationAgreeStrongly AgreeStrongly AgreeAgreeAgreeAgreeAgreeStrongly AgreeStrongly AgreeStrongly AgreeAgreeStrongly AgreeAverageNaN2020-09-10 13:05:072020-09-10 13:05:071346134602409:4061:488:3e52:cd06:3df:cea4:afa52544azlmo
86430Debipriya Dutta2017Electronics and Communication EngineeringAgreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeAgreeNaN2020-09-10 15:41:142020-09-10 15:41:14134913490103.219.44.2082550rspou
87437Dr. Sabyasachi Chandra2017Civil EngineeringStrongly AgreeStrongly AgreeStrongly AgreeAgreeAgreeStrongly AgreeStrongly AgreeStrongly AgreeAgreeAgreeStrongly AgreeAgreeStrongly AgreeNaN2020-09-10 16:53:312020-09-10 16:53:311286128602409:4061:2e08:115c:3870:460d:b9be:ee9d2557oxfx4
88440Rajib Banerjee2017Electronics and Communication EngineeringStrongly AgreeStrongly AgreeStrongly AgreeStrongly AgreeAgreeAgreeAverageStrongly AgreeAgreeAverageAgreeAgreeAgreeNaN2020-09-10 18:02:112020-09-10 18:02:11134813480117.203.151.312563fgg9g
89447Ritu Rani De(Maity)2017Electronics and Instrumentation EngineeringAgreeAgreeAverageAgreeAgreeAgreeAgreeStrongly AgreeAgreeAgreeStrongly AgreeAgreeStrongly AgreeCourse requires to be updated2020-09-10 19:10:432020-09-10 19:10:431351135102409:4061:2e03:cb79:38dd:bd44:2aff:6e482570jwnjs
90454ARIJIT KUMAR BANERJI2017Civil EngineeringAgreeAgreeAgreeAgreeAgreeAgreeStrongly AgreeStrongly AgreeAgreeAgreeAgreeAgreeAgreeNaN2020-09-11 04:48:592020-09-11 04:48:5917417402401:4900:382f:23b4:c897:1136:eb8d:a57825783wafe
91458Dr. Sumit Banerjee2017Electrical EngineeringStrongly AgreeStrongly AgreeStrongly AgreeStrongly AgreeAgreeStrongly AgreeStrongly AgreeStrongly AgreeAgreeAgreeStrongly AgreeStrongly AgreeStrongly AgreeNaN2020-09-11 05:46:042020-09-11 05:46:041318131802409:4061:782:467e:d8f8:a69:55b1:5c1725824xfx0
92463SNEHASHIS GHOSHAL2017Electrical EngineeringAgreeStrongly AgreeAgreeStrongly AgreeAgreeStrongly AgreeAgreeStrongly AgreeAgreeAgreeAgreeAgreeStrongly AgreeNaN2020-09-11 07:32:282020-09-11 07:32:281721720103.148.183.225878j5p8