Overview

Dataset statistics

Number of variables19
Number of observations1045
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory173.6 KiB
Average record size in memory170.1 B

Variable types

Numeric5
Categorical14

Dataset

Description중장기개방계획에따른 경상남도 경남도립거창대학 데이터자료입니다.(과정종류, 입학금, 수업료,기숙사비 등의 데이터를 포함하고있습니다. )
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15066688

Alerts

과정종류 has constant value ""Constant
신문방송비 has constant value ""Constant
학사모비 has constant value ""Constant
기타3 has constant value ""Constant
기타4 has constant value ""Constant
기타5 has constant value ""Constant
기타6 has constant value ""Constant
년도 is highly overall correlated with 수업료 and 4 other fieldsHigh correlation
수업료 is highly overall correlated with 년도 and 2 other fieldsHigh correlation
기성회비 is highly overall correlated with 년도 and 2 other fieldsHigh correlation
기숙사비 is highly overall correlated with 년도 and 2 other fieldsHigh correlation
기타2 is highly overall correlated with 년도 and 4 other fieldsHigh correlation
기타7 is highly overall correlated with 년도 and 2 other fieldsHigh correlation
입학금 is highly imbalanced (74.2%)Imbalance
학생회비 is highly imbalanced (71.8%)Imbalance
앨범비 is highly imbalanced (66.5%)Imbalance
기타7 is highly imbalanced (59.5%)Imbalance
기성회비 has 332 (31.8%) zerosZeros
기숙사비 has 372 (35.6%) zerosZeros

Reproduction

Analysis started2023-12-10 23:39:39.486942
Analysis finished2023-12-10 23:39:43.245650
Duration3.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2010.3971
Minimum1999
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T08:39:43.305462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1999
5-th percentile2000
Q12005
median2011
Q32016
95-th percentile2019
Maximum2020
Range21
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.2156482
Coefficient of variation (CV)0.0030917514
Kurtosis-1.1344125
Mean2010.3971
Median Absolute Deviation (MAD)5
Skewness-0.18836814
Sum2100865
Variance38.634283
MonotonicityNot monotonic
2023-12-11T08:39:43.417639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2019 58
 
5.6%
2015 57
 
5.5%
2018 56
 
5.4%
2017 56
 
5.4%
2013 54
 
5.2%
2014 54
 
5.2%
2016 54
 
5.2%
2010 51
 
4.9%
2020 51
 
4.9%
2009 51
 
4.9%
Other values (12) 503
48.1%
ValueCountFrequency (%)
1999 34
3.3%
2000 37
3.5%
2001 38
3.6%
2002 46
4.4%
2003 38
3.6%
2004 40
3.8%
2005 40
3.8%
2006 40
3.8%
2007 43
4.1%
2008 47
4.5%
ValueCountFrequency (%)
2020 51
4.9%
2019 58
5.6%
2018 56
5.4%
2017 56
5.4%
2016 54
5.2%
2015 57
5.5%
2014 54
5.2%
2013 54
5.2%
2012 50
4.8%
2011 50
4.8%

학과코드
Real number (ℝ)

Distinct15
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3511962
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T08:39:43.508804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile13
Maximum15
Range14
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.5560793
Coefficient of variation (CV)0.55990702
Kurtosis-0.67685691
Mean6.3511962
Median Absolute Deviation (MAD)3
Skewness0.35665579
Sum6637
Variance12.6457
MonotonicityNot monotonic
2023-12-11T08:39:43.600885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
6 140
13.4%
3 92
8.8%
1 89
8.5%
5 89
8.5%
7 89
8.5%
8 89
8.5%
2 86
8.2%
4 86
8.2%
9 84
8.0%
11 48
 
4.6%
Other values (5) 153
14.6%
ValueCountFrequency (%)
1 89
8.5%
2 86
8.2%
3 92
8.8%
4 86
8.2%
5 89
8.5%
6 140
13.4%
7 89
8.5%
8 89
8.5%
9 84
8.0%
10 43
 
4.1%
ValueCountFrequency (%)
15 8
 
0.8%
14 23
 
2.2%
13 32
 
3.1%
12 47
 
4.5%
11 48
 
4.6%
10 43
 
4.1%
9 84
8.0%
8 89
8.5%
7 89
8.5%
6 140
13.4%

학년
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
1
487 
2
485 
3
65 
4
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 487
46.6%
2 485
46.4%
3 65
 
6.2%
4 8
 
0.8%

Length

2023-12-11T08:39:43.730111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:43.833143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 487
46.6%
2 485
46.4%
3 65
 
6.2%
4 8
 
0.8%

학기
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
1
525 
2
520 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 525
50.2%
2 520
49.8%

Length

2023-12-11T08:39:43.932417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:44.019026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 525
50.2%
2 520
49.8%

과정종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
A
1045 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA
2nd rowA
3rd rowA
4th rowA
5th rowA

Common Values

ValueCountFrequency (%)
A 1045
100.0%

Length

2023-12-11T08:39:44.102623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:44.179666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 1045
100.0%

입학금
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
0
949 
316000
 
48
307000
 
27
297000
 
12
283000
 
9

Length

Max length6
Median length1
Mean length1.4593301
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 949
90.8%
316000 48
 
4.6%
307000 27
 
2.6%
297000 12
 
1.1%
283000 9
 
0.9%

Length

2023-12-11T08:39:44.259752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:44.343154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 949
90.8%
316000 48
 
4.6%
307000 27
 
2.6%
297000 12
 
1.1%
283000 9
 
0.9%

수업료
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1140078.5
Minimum700000
Maximum1445000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T08:39:44.420538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700000
5-th percentile845000
Q11011000
median1090000
Q31445000
95-th percentile1445000
Maximum1445000
Range745000
Interquartile range (IQR)434000

Descriptive statistics

Standard deviation206267.26
Coefficient of variation (CV)0.18092374
Kurtosis-1.0340125
Mean1140078.5
Median Absolute Deviation (MAD)79000
Skewness0.40041332
Sum1.191382 × 109
Variance4.2546182 × 1010
MonotonicityNot monotonic
2023-12-11T08:39:44.521018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1011000 360
34.4%
1445000 284
27.2%
1130000 183
17.5%
845000 63
 
6.0%
1198000 48
 
4.6%
839000 40
 
3.8%
1090000 34
 
3.3%
937000 21
 
2.0%
700000 8
 
0.8%
904000 4
 
0.4%
ValueCountFrequency (%)
700000 8
 
0.8%
839000 40
 
3.8%
845000 63
 
6.0%
904000 4
 
0.4%
937000 21
 
2.0%
1011000 360
34.4%
1090000 34
 
3.3%
1130000 183
17.5%
1198000 48
 
4.6%
1445000 284
27.2%
ValueCountFrequency (%)
1445000 284
27.2%
1198000 48
 
4.6%
1130000 183
17.5%
1090000 34
 
3.3%
1011000 360
34.4%
937000 21
 
2.0%
904000 4
 
0.4%
845000 63
 
6.0%
839000 40
 
3.8%
700000 8
 
0.8%

기성회비
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean255606.7
Minimum0
Maximum454000
Zeros332
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T08:39:44.612741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median273000
Q3434000
95-th percentile454000
Maximum454000
Range454000
Interquartile range (IQR)434000

Descriptive statistics

Standard deviation186366.2
Coefficient of variation (CV)0.72911312
Kurtosis-1.5027014
Mean255606.7
Median Absolute Deviation (MAD)161000
Skewness-0.43731936
Sum2.67109 × 108
Variance3.473236 × 1010
MonotonicityNot monotonic
2023-12-11T08:39:44.697144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
434000 360
34.4%
0 332
31.8%
273000 217
20.8%
454000 63
 
6.0%
359000 40
 
3.8%
226000 25
 
2.4%
377000 8
 
0.8%
ValueCountFrequency (%)
0 332
31.8%
226000 25
 
2.4%
273000 217
20.8%
359000 40
 
3.8%
377000 8
 
0.8%
434000 360
34.4%
454000 63
 
6.0%
ValueCountFrequency (%)
454000 63
 
6.0%
434000 360
34.4%
377000 8
 
0.8%
359000 40
 
3.8%
273000 217
20.8%
226000 25
 
2.4%
0 332
31.8%

학생회비
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
0
950 
30000
 
94
300000
 
1

Length

Max length6
Median length1
Mean length1.3645933
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 950
90.9%
30000 94
 
9.0%
300000 1
 
0.1%

Length

2023-12-11T08:39:44.794484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:44.877572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 950
90.9%
30000 94
 
9.0%
300000 1
 
0.1%

신문방송비
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
0
1045 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1045
100.0%

Length

2023-12-11T08:39:44.965765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:45.041598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1045
100.0%

앨범비
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
0
908 
60000
 
73
70000
 
36
95000
 
16
65000
 
12

Length

Max length5
Median length1
Mean length1.5244019
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row70000
5th row70000

Common Values

ValueCountFrequency (%)
0 908
86.9%
60000 73
 
7.0%
70000 36
 
3.4%
95000 16
 
1.5%
65000 12
 
1.1%

Length

2023-12-11T08:39:45.133084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:45.231162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 908
86.9%
60000 73
 
7.0%
70000 36
 
3.4%
95000 16
 
1.5%
65000 12
 
1.1%

학사모비
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
0
1045 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1045
100.0%

Length

2023-12-11T08:39:45.332992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:45.409603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1045
100.0%

기숙사비
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188617.22
Minimum0
Maximum600000
Zeros372
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T08:39:45.477120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median200000
Q3280000
95-th percentile570000
Maximum600000
Range600000
Interquartile range (IQR)280000

Descriptive statistics

Standard deviation169628.92
Coefficient of variation (CV)0.89932892
Kurtosis-0.23323674
Mean188617.22
Median Absolute Deviation (MAD)100000
Skewness0.53561233
Sum1.97105 × 108
Variance2.8773972 × 1010
MonotonicityNot monotonic
2023-12-11T08:39:45.598277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 372
35.6%
280000 302
28.9%
300000 85
 
8.1%
185000 69
 
6.6%
125000 52
 
5.0%
570000 50
 
4.8%
600000 27
 
2.6%
250000 25
 
2.4%
400000 24
 
2.3%
200000 20
 
1.9%
ValueCountFrequency (%)
0 372
35.6%
125000 52
 
5.0%
170000 19
 
1.8%
185000 69
 
6.6%
200000 20
 
1.9%
250000 25
 
2.4%
280000 302
28.9%
300000 85
 
8.1%
400000 24
 
2.3%
570000 50
 
4.8%
ValueCountFrequency (%)
600000 27
 
2.6%
570000 50
 
4.8%
400000 24
 
2.3%
300000 85
 
8.1%
280000 302
28.9%
250000 25
 
2.4%
200000 20
 
1.9%
185000 69
 
6.6%
170000 19
 
1.8%
125000 52
 
5.0%

기타2
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
0
634 
240000
139 
320000
137 
300000
135 

Length

Max length6
Median length1
Mean length2.9665072
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 634
60.7%
240000 139
 
13.3%
320000 137
 
13.1%
300000 135
 
12.9%

Length

2023-12-11T08:39:45.704838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:45.816922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 634
60.7%
240000 139
 
13.3%
320000 137
 
13.1%
300000 135
 
12.9%

기타3
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
0
1045 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1045
100.0%

Length

2023-12-11T08:39:46.178160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:46.257373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1045
100.0%

기타4
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
0
1045 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1045
100.0%

Length

2023-12-11T08:39:46.357203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:46.438658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1045
100.0%

기타5
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
0
1045 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1045
100.0%

Length

2023-12-11T08:39:46.534891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:46.614040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1045
100.0%

기타6
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
0
1045 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1045
100.0%

Length

2023-12-11T08:39:46.700868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:46.786897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1045
100.0%

기타7
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
0
910 
500000
111 
700000
 
24

Length

Max length6
Median length1
Mean length1.645933
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 910
87.1%
500000 111
 
10.6%
700000 24
 
2.3%

Length

2023-12-11T08:39:46.877004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:46.966573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 910
87.1%
500000 111
 
10.6%
700000 24
 
2.3%

Interactions

2023-12-11T08:39:42.279604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:40.211375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:40.697040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:41.211773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:41.764283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:42.376894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:40.290803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:40.799442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:41.311035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:41.852344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:42.479469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:40.380259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:40.890107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:41.434921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:41.965012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:42.605778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:40.490972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:40.999757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:41.551630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:42.074018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:42.694227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:40.585020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:41.104763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:41.667058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:42.177195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:39:47.038079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도학과코드학년학기입학금수업료기성회비학생회비앨범비기숙사비기타2기타7
년도1.0000.3690.1230.0000.6960.7850.7890.6330.5400.8890.9640.752
학과코드0.3691.0000.4360.0000.0000.5930.5280.1560.0710.2770.3390.286
학년0.1230.4361.0000.0000.2110.1160.1230.0000.2430.0750.1940.085
학기0.0000.0000.0001.0000.2550.0000.0000.1560.2940.2350.1970.089
입학금0.6960.0000.2110.2551.0000.4140.3160.4050.0000.3160.1440.081
수업료0.7850.5930.1160.0000.4141.0000.9360.4220.3650.6840.6780.505
기성회비0.7890.5280.1230.0000.3160.9361.0000.5490.2800.8330.7110.713
학생회비0.6330.1560.0000.1560.4050.4220.5491.0000.0820.6950.1820.233
앨범비0.5400.0710.2430.2940.0000.3650.2800.0821.0000.4190.1990.114
기숙사비0.8890.2770.0750.2350.3160.6840.8330.6950.4191.0000.7470.963
기타20.9640.3390.1940.1970.1440.6780.7110.1820.1990.7471.0000.676
기타70.7520.2860.0850.0890.0810.5050.7130.2330.1140.9630.6761.000
2023-12-11T08:39:47.157187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기타7앨범비입학금학기학생회비학년기타2
기타71.0000.0860.0610.1480.0740.0800.706
앨범비0.0861.0000.0000.3590.0610.2010.163
입학금0.0610.0001.0000.3110.3350.1730.118
학기0.1480.3590.3111.0000.2570.0000.130
학생회비0.0740.0610.3350.2571.0000.0000.172
학년0.0800.2010.1730.0000.0001.0000.077
기타20.7060.1630.1180.1300.1720.0771.000
2023-12-11T08:39:47.278562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도학과코드수업료기성회비기숙사비학년학기입학금학생회비앨범비기타2기타7
년도1.0000.2780.613-0.5850.7470.0750.0000.3290.4220.3530.9000.623
학과코드0.2781.0000.060-0.1860.2030.2740.0000.0000.0770.0350.2080.178
수업료0.6130.0601.000-0.8830.4330.0750.0000.2810.3130.2480.5400.391
기성회비-0.585-0.186-0.8831.000-0.4270.0790.0000.2200.2690.1930.5430.393
기숙사비0.7470.2030.433-0.4271.0000.0480.1690.2200.3780.3000.5830.766
학년0.0750.2740.0750.0790.0481.0000.0000.1730.0000.2010.0770.080
학기0.0000.0000.0000.0000.1690.0001.0000.3110.2570.3590.1300.148
입학금0.3290.0000.2810.2200.2200.1730.3111.0000.3350.0000.1180.061
학생회비0.4220.0770.3130.2690.3780.0000.2570.3351.0000.0610.1720.074
앨범비0.3530.0350.2480.1930.3000.2010.3590.0000.0611.0000.1630.086
기타20.9000.2080.5400.5430.5830.0770.1300.1180.1720.1631.0000.706
기타70.6230.1780.3910.3930.7660.0800.1480.0610.0740.0860.7061.000

Missing values

2023-12-11T08:39:42.870440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:39:43.150876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

년도학과코드학년학기과정종류입학금수업료기성회비학생회비신문방송비앨범비학사모비기숙사비기타2기타3기타4기타5기타6기타7
020111012A010110004340000000250000000000
120111112A010110004340000000250000000000
220111212A010110004340000000250000000000
32011122A0101100043400000700000250000000000
42011222A0101100043400000700000250000000000
52011322A0101100043400000700000250000000000
62011422A0101100043400000700000250000000000
72011522A0101100043400000700000250000000000
82011622A010110004340000000250000000000
92011722A0101100043400000700000250000000000
년도학과코드학년학기과정종류입학금수업료기성회비학생회비신문방송비앨범비학사모비기숙사비기타2기타3기타4기타5기타6기타7
10352020721A01445000000003000003000000000500000
10362020821A01198000000003000003000000000500000
10372020921A01445000000003000003000000000500000
103820201121A01445000000003000003000000000500000
103920201221A01445000000003000003000000000500000
104020201321A01198000000003000003000000000500000
104120201421A01445000000003000003000000000500000
104220201521A01445000000003000003000000000500000
10432020631A01445000000003000003000000000500000
10442020641A01445000000003000003000000000500000