Overview

Dataset statistics

Number of variables12
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows19
Duplicate rows (%)0.2%
Total size in memory1.1 MiB
Average record size in memory114.0 B

Variable types

Categorical4
Numeric8

Dataset

Description기준 시점 학자금대출 실행년도(학기)별, 상품(일반 상환 학자금대출, 은행대출보증)별 연체 1개월 ~ 연체 6개월 미만 계좌의 대출잔액(연체잔액) 관련 내용을 제공합니다. 상세 정보는 한국장학재단 홈페이지(https://www.kosaf.go.kr/ko/tuition.do?pf=tuition_main)를 참고바랍니다.※ 단위: 등록금잔액(원), 생활비용잔액(원)※ 대출학기 3학기: 특정 학교의 3학기제
Author한국장학재단
URLhttps://www.data.go.kr/data/15069060/fileData.do

Alerts

기준년월 has constant value ""Constant
상품명 has constant value ""Constant
생활비용잔액 has constant value ""Constant
Dataset has 19 (0.2%) duplicate rowsDuplicates
대출년도 is highly overall correlated with 대출경과개월수 and 3 other fieldsHigh correlation
대출기간월수 is highly overall correlated with 대출거치기간월수High correlation
대출경과개월수 is highly overall correlated with 대출년도 and 2 other fieldsHigh correlation
대출거치기간월수 is highly overall correlated with 대출기간월수High correlation
거치경과개월수 is highly overall correlated with 대출년도 and 2 other fieldsHigh correlation
거치잔여개월수 is highly overall correlated with 대출년도 and 3 other fieldsHigh correlation
상환경과개월수 is highly overall correlated with 대출년도 and 3 other fieldsHigh correlation
대출거치기간월수 has 761 (7.6%) zerosZeros
거치경과개월수 has 6694 (66.9%) zerosZeros
거치잔여개월수 has 6694 (66.9%) zerosZeros
상환경과개월수 has 3306 (33.1%) zerosZeros

Reproduction

Analysis started2024-04-06 08:01:02.138357
Analysis finished2024-04-06 08:01:24.376014
Duration22.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12
2nd row2023-12
3rd row2023-12
4th row2023-12
5th row2023-12

Common Values

ValueCountFrequency (%)
2023-12 10000
100.0%

Length

2024-04-06T17:01:24.498340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:24.654145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12 10000
100.0%

상품명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반상환학자금_등록금
10000 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반상환학자금_등록금 10000
100.0%

Length

2024-04-06T17:01:24.819807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:24.985930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반상환학자금_등록금 10000
100.0%

대출년도
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.4977
Minimum2009
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:01:25.133381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2009
5-th percentile2011
Q12016
median2019
Q32021
95-th percentile2023
Maximum2023
Range14
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.5704999
Coefficient of variation (CV)0.0017688898
Kurtosis-0.4165893
Mean2018.4977
Median Absolute Deviation (MAD)3
Skewness-0.66266524
Sum20184977
Variance12.74847
MonotonicityNot monotonic
2024-04-06T17:01:25.356645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2023 1401
14.0%
2020 1187
11.9%
2019 1062
10.6%
2021 1046
10.5%
2022 981
9.8%
2018 940
9.4%
2017 753
7.5%
2016 534
 
5.3%
2015 513
 
5.1%
2014 435
 
4.3%
Other values (5) 1148
11.5%
ValueCountFrequency (%)
2009 15
 
0.1%
2010 239
 
2.4%
2011 339
 
3.4%
2012 231
 
2.3%
2013 324
 
3.2%
2014 435
4.3%
2015 513
5.1%
2016 534
5.3%
2017 753
7.5%
2018 940
9.4%
ValueCountFrequency (%)
2023 1401
14.0%
2022 981
9.8%
2021 1046
10.5%
2020 1187
11.9%
2019 1062
10.6%
2018 940
9.4%
2017 753
7.5%
2016 534
 
5.3%
2015 513
 
5.1%
2014 435
 
4.3%

대출학기
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5315 
2
4685 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 5315
53.1%
2 4685
46.9%

Length

2024-04-06T17:01:25.615906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:25.820452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5315
53.1%
2 4685
46.9%

등록금잔액
Real number (ℝ)

Distinct9276
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2379642
Minimum0
Maximum22000000
Zeros75
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:01:26.172537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile125831.55
Q1948350
median2106705
Q33409638.8
95-th percentile5731478.1
Maximum22000000
Range22000000
Interquartile range (IQR)2461288.8

Descriptive statistics

Standard deviation1812664.3
Coefficient of variation (CV)0.76173826
Kurtosis4.5642566
Mean2379642
Median Absolute Deviation (MAD)1218103
Skewness1.3369828
Sum2.379642 × 1010
Variance3.2857519 × 1012
MonotonicityNot monotonic
2024-04-06T17:01:26.754229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 75
 
0.8%
3113000 8
 
0.1%
4630000 8
 
0.1%
3980000 7
 
0.1%
4000000 7
 
0.1%
6831000 6
 
0.1%
2700000 6
 
0.1%
1440000 6
 
0.1%
4425000 6
 
0.1%
4548000 6
 
0.1%
Other values (9266) 9865
98.7%
ValueCountFrequency (%)
0 75
0.8%
67 1
 
< 0.1%
166 1
 
< 0.1%
218 1
 
< 0.1%
225 1
 
< 0.1%
244 1
 
< 0.1%
311 1
 
< 0.1%
333 1
 
< 0.1%
339 1
 
< 0.1%
343 1
 
< 0.1%
ValueCountFrequency (%)
22000000 1
< 0.1%
20000000 1
< 0.1%
16166820 1
< 0.1%
14713656 1
< 0.1%
14600000 1
< 0.1%
14241565 1
< 0.1%
14027080 1
< 0.1%
13879500 1
< 0.1%
12504485 1
< 0.1%
11680570 1
< 0.1%

생활비용잔액
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2024-04-06T17:01:27.085192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:27.229324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

대출기간월수
Real number (ℝ)

HIGH CORRELATION 

Distinct85
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.9009
Minimum12
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:01:27.396845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile36
Q196
median144
Q3168
95-th percentile216
Maximum240
Range228
Interquartile range (IQR)72

Descriptive statistics

Standard deviation53.08604
Coefficient of variation (CV)0.39645768
Kurtosis-0.65203605
Mean133.9009
Median Absolute Deviation (MAD)36
Skewness-0.30913545
Sum1339009
Variance2818.1277
MonotonicityNot monotonic
2024-04-06T17:01:27.624052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
168 1279
12.8%
156 1018
 
10.2%
180 966
 
9.7%
144 894
 
8.9%
120 873
 
8.7%
96 629
 
6.3%
72 556
 
5.6%
60 431
 
4.3%
204 424
 
4.2%
84 385
 
3.9%
Other values (75) 2545
25.4%
ValueCountFrequency (%)
12 87
 
0.9%
13 1
 
< 0.1%
16 1
 
< 0.1%
23 1
 
< 0.1%
24 213
2.1%
26 1
 
< 0.1%
36 250
2.5%
41 1
 
< 0.1%
45 1
 
< 0.1%
46 1
 
< 0.1%
ValueCountFrequency (%)
240 239
2.4%
228 102
 
1.0%
227 2
 
< 0.1%
222 1
 
< 0.1%
221 1
 
< 0.1%
216 172
1.7%
215 1
 
< 0.1%
204 424
4.2%
203 1
 
< 0.1%
202 1
 
< 0.1%

대출경과개월수
Real number (ℝ)

HIGH CORRELATION 

Distinct102
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.0557
Minimum2
Maximum172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:01:27.983543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q128
median52
Q388
95-th percentile148
Maximum172
Range170
Interquartile range (IQR)60

Descriptive statistics

Standard deviation42.886582
Coefficient of variation (CV)0.70241734
Kurtosis-0.4450963
Mean61.0557
Median Absolute Deviation (MAD)30
Skewness0.64435023
Sum610557
Variance1839.2589
MonotonicityNot monotonic
2024-04-06T17:01:28.238553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 521
 
5.2%
10 497
 
5.0%
46 432
 
4.3%
40 410
 
4.1%
58 395
 
4.0%
28 385
 
3.9%
22 384
 
3.8%
34 379
 
3.8%
52 371
 
3.7%
70 360
 
3.6%
Other values (92) 5866
58.7%
ValueCountFrequency (%)
2 4
 
< 0.1%
3 118
 
1.2%
4 521
5.2%
5 43
 
0.4%
7 1
 
< 0.1%
8 15
 
0.1%
9 137
 
1.4%
10 497
5.0%
11 65
 
0.7%
14 3
 
< 0.1%
ValueCountFrequency (%)
172 9
 
0.1%
171 6
 
0.1%
166 61
0.6%
165 22
 
0.2%
160 123
1.2%
159 33
 
0.3%
155 10
 
0.1%
154 130
1.3%
153 27
 
0.3%
149 1
 
< 0.1%

대출거치기간월수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct53
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.9103
Minimum0
Maximum120
Zeros761
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:01:28.490880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124
median47
Q360
95-th percentile96
Maximum120
Range120
Interquartile range (IQR)36

Descriptive statistics

Standard deviation26.541505
Coefficient of variation (CV)0.60444828
Kurtosis0.52890144
Mean43.9103
Median Absolute Deviation (MAD)13
Skewness0.63975402
Sum439103
Variance704.4515
MonotonicityNot monotonic
2024-04-06T17:01:28.801270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48 1943
19.4%
36 1915
19.1%
24 1594
15.9%
60 1484
14.8%
0 761
 
7.6%
12 694
 
6.9%
84 496
 
5.0%
72 480
 
4.8%
120 254
 
2.5%
96 199
 
2.0%
Other values (43) 180
 
1.8%
ValueCountFrequency (%)
0 761
7.6%
1 2
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
8 1
 
< 0.1%
12 694
6.9%
13 1
 
< 0.1%
15 1
 
< 0.1%
18 1
 
< 0.1%
21 1
 
< 0.1%
ValueCountFrequency (%)
120 254
2.5%
119 2
 
< 0.1%
113 1
 
< 0.1%
108 110
1.1%
107 2
 
< 0.1%
102 1
 
< 0.1%
101 1
 
< 0.1%
96 199
2.0%
95 1
 
< 0.1%
94 1
 
< 0.1%

거치경과개월수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct69
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0702
Minimum0
Maximum118
Zeros6694
Zeros (%)66.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:01:29.133089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile51
Maximum118
Range118
Interquartile range (IQR)10

Descriptive statistics

Standard deviation18.008329
Coefficient of variation (CV)1.985439
Kurtosis6.0997603
Mean9.0702
Median Absolute Deviation (MAD)0
Skewness2.4198374
Sum90702
Variance324.2999
MonotonicityNot monotonic
2024-04-06T17:01:29.587393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6694
66.9%
4 427
 
4.3%
10 410
 
4.1%
22 271
 
2.7%
16 233
 
2.3%
34 209
 
2.1%
28 205
 
2.1%
46 156
 
1.6%
40 147
 
1.5%
9 109
 
1.1%
Other values (59) 1139
 
11.4%
ValueCountFrequency (%)
0 6694
66.9%
2 3
 
< 0.1%
3 91
 
0.9%
4 427
 
4.3%
5 28
 
0.3%
7 1
 
< 0.1%
8 12
 
0.1%
9 109
 
1.1%
10 410
 
4.1%
11 49
 
0.5%
ValueCountFrequency (%)
118 5
0.1%
117 1
 
< 0.1%
112 3
< 0.1%
111 1
 
< 0.1%
107 3
< 0.1%
106 5
0.1%
105 2
 
< 0.1%
104 2
 
< 0.1%
100 6
0.1%
99 2
 
< 0.1%

거치잔여개월수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct73
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2974
Minimum0
Maximum117
Zeros6694
Zeros (%)66.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:01:30.053044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39
95-th percentile51
Maximum117
Range117
Interquartile range (IQR)9

Descriptive statistics

Standard deviation18.711359
Coefficient of variation (CV)2.0125368
Kurtosis6.532866
Mean9.2974
Median Absolute Deviation (MAD)0
Skewness2.4771387
Sum92974
Variance350.11496
MonotonicityNot monotonic
2024-04-06T17:01:30.393019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6694
66.9%
2 335
 
3.4%
8 320
 
3.2%
14 300
 
3.0%
20 265
 
2.6%
32 224
 
2.2%
26 218
 
2.2%
38 150
 
1.5%
44 128
 
1.3%
50 127
 
1.3%
Other values (63) 1239
 
12.4%
ValueCountFrequency (%)
0 6694
66.9%
1 35
 
0.4%
2 335
 
3.4%
3 86
 
0.9%
4 8
 
0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
7 14
 
0.1%
8 320
 
3.2%
9 99
 
1.0%
ValueCountFrequency (%)
117 1
 
< 0.1%
116 11
0.1%
112 2
 
< 0.1%
111 5
0.1%
110 12
0.1%
105 2
 
< 0.1%
104 6
0.1%
98 12
0.1%
97 1
 
< 0.1%
93 6
0.1%

상환경과개월수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct82
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.4428
Minimum0
Maximum124
Zeros3306
Zeros (%)33.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:01:30.640025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q345
95-th percentile94
Maximum124
Range124
Interquartile range (IQR)45

Descriptive statistics

Standard deviation31.012825
Coefficient of variation (CV)1.1728268
Kurtosis0.25449936
Mean26.4428
Median Absolute Deviation (MAD)15
Skewness1.1335163
Sum264428
Variance961.79531
MonotonicityNot monotonic
2024-04-06T17:01:31.017872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3306
33.1%
10 586
 
5.9%
4 515
 
5.1%
22 414
 
4.1%
16 396
 
4.0%
34 366
 
3.7%
28 331
 
3.3%
46 252
 
2.5%
40 247
 
2.5%
58 221
 
2.2%
Other values (72) 3366
33.7%
ValueCountFrequency (%)
0 3306
33.1%
1 1
 
< 0.1%
2 8
 
0.1%
3 161
 
1.6%
4 515
 
5.1%
5 38
 
0.4%
8 21
 
0.2%
9 185
 
1.8%
10 586
 
5.9%
11 89
 
0.9%
ValueCountFrequency (%)
124 1
 
< 0.1%
119 3
 
< 0.1%
118 25
 
0.2%
117 13
 
0.1%
113 1
 
< 0.1%
112 79
0.8%
111 17
 
0.2%
107 3
 
< 0.1%
106 96
1.0%
105 26
 
0.3%

Interactions

2024-04-06T17:01:22.305949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:08.299850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:10.748870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:12.747228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:14.580549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:16.354627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:18.641355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:20.143972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:22.523643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:08.870646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:10.965669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:12.963104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:14.827150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:16.859379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:18.804345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:20.323357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:22.729941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:09.081107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:11.176818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:13.176980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:15.042969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:17.192724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:19.016910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:20.530163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:22.906770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:09.320653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:11.370999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:13.398741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:15.253319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:17.457559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:19.192292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:20.939860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:23.106254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:09.618864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:11.579996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:13.630721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:15.455408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:17.722358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:19.385033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:21.295360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:23.301300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:09.900778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:11.830443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:13.876951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:15.639262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:17.908793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:19.590343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:21.572348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:23.493527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:10.220666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:12.113289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:14.104135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:15.823206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:18.092042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:19.766630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:21.800015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:23.674437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:10.481644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:12.454673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:14.334054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:16.013462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:18.499002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:19.953789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:22.028203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:01:31.255684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대출년도대출학기등록금잔액대출기간월수대출경과개월수대출거치기간월수거치경과개월수거치잔여개월수상환경과개월수
대출년도1.0000.0810.2670.5750.9930.4120.7980.5380.808
대출학기0.0811.0000.0820.0460.3830.0590.0330.0000.068
등록금잔액0.2670.0821.0000.1640.2680.1800.2180.2600.341
대출기간월수0.5750.0460.1641.0000.5730.9350.4970.5670.432
대출경과개월수0.9930.3830.2680.5731.0000.4150.7500.5420.803
대출거치기간월수0.4120.0590.1800.9350.4151.0000.5940.6690.288
거치경과개월수0.7980.0330.2180.4970.7500.5941.0000.5590.507
거치잔여개월수0.5380.0000.2600.5670.5420.6690.5591.0000.533
상환경과개월수0.8080.0680.3410.4320.8030.2880.5070.5331.000
2024-04-06T17:01:31.802082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대출년도등록금잔액대출기간월수대출경과개월수대출거치기간월수거치경과개월수거치잔여개월수상환경과개월수대출학기
대출년도1.0000.326-0.419-0.996-0.3190.5000.605-0.7960.069
등록금잔액0.3261.0000.185-0.3320.1440.3320.339-0.4630.082
대출기간월수-0.4190.1851.0000.4180.7740.2020.2120.0380.036
대출경과개월수-0.996-0.3320.4181.0000.319-0.494-0.6040.7970.293
대출거치기간월수-0.3190.1440.7740.3191.0000.3500.359-0.1880.044
거치경과개월수0.5000.3320.202-0.4940.3501.0000.931-0.8090.018
거치잔여개월수0.6050.3390.212-0.6040.3590.9311.000-0.8090.000
상환경과개월수-0.796-0.4630.0380.797-0.188-0.809-0.8091.0000.052
대출학기0.0690.0820.0360.2930.0440.0180.0000.0521.000

Missing values

2024-04-06T17:01:23.935810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:01:24.223187image/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

기준년월상품명대출년도대출학기등록금잔액생활비용잔액대출기간월수대출경과개월수대출거치기간월수거치경과개월수거치잔여개월수상환경과개월수
507522023-12일반상환학자금_등록금2020227418660724036004
586422023-12일반상환학자금_등록금20141227585002281181080010
15162023-12일반상환학자금_등록금20232211400001564364320
966572023-12일반상환학자금_등록금2011140784001681544800106
968462023-12일반상환학자금_등록금201516407990168106480058
105242023-12일반상환학자금_등록금201622778510018088600028
679002023-12일반상환학자금_등록금2023146869000841000010
638002023-12일반상환학자금_등록금202025899456016840484080
622192023-12일반상환학자금_등록금201521441148016899480051
194212023-12일반상환학자금_등록금2010273318001801606000100
기준년월상품명대출년도대출학기등록금잔액생활비용잔액대출기간월수대출경과개월수대출거치기간월수거치경과개월수거치잔여개월수상환경과개월수
124082023-12일반상환학자금_등록금2021110800000108344834140
679262023-12일반상환학자금_등록금201613378398014494240070
558812023-12일반상환학자금_등록금20201223199607246240022
219552023-12일반상환학자금_등록금202012622660192469646500
699072023-12일반상환학자금_등록금2019148240000204588458260
365562023-12일반상환학자금_등록금201911382000018058605820
438652023-12일반상환학자금_등록금201811944250014470240046
738932023-12일반상환학자금_등록금20232344200002043843810
977442023-12일반상환학자금_등록금202322200000002045845790
820122023-12일반상환학자금_등록금20182215173809664240040

Duplicate rows

Most frequently occurring

기준년월상품명대출년도대출학기등록금잔액생활비용잔액대출기간월수대출경과개월수대출거치기간월수거치경과개월수거치잔여개월수상환경과개월수# duplicates
132023-12일반상환학자금_등록금202320012400043
02023-12일반상환학자금_등록금201020016816048001122
12023-12일반상환학자금_등록금2016210139000024088120883202
22023-12일반상환학자금_등록금20191482400002045884582602
32023-12일반상환학자금_등록금201923035360016852480042
42023-12일반상환학자금_등록금2020133605000108464846202
52023-12일반상환학자금_등록금20202330400001924072403202
62023-12일반상환학자금_등록금2021167440000156343634202
72023-12일반상환학자금_등록금2022138190000144222422202
82023-12일반상환학자금_등록금20221416200002042284226202