Overview

Dataset statistics

Number of variables16
Number of observations1066
Missing cells0
Missing cells (%)0.0%
Duplicate rows32
Duplicate rows (%)3.0%
Total size in memory148.0 KiB
Average record size in memory142.1 B

Variable types

Categorical2
Text1
Numeric13

Dataset

Descriptionㅇ 대학정보공시 12-다-1. 장학금 수혜 현황 학비감면 준수여부 관련 데이터임(단위: 명, 천원) - 2012년 공시 자료(2011년 회계연도)임
Author한국장학재단
URLhttps://www.data.go.kr/data/15073568/fileData.do

Alerts

Dataset has 32 (3.0%) duplicate rowsDuplicates
30퍼센트 규정준수여부_인원 is highly overall correlated with 30퍼센트 규정준수여부_금액 and 6 other fieldsHigh correlation
30퍼센트 규정준수여부_금액 is highly overall correlated with 30퍼센트 규정준수여부_인원 and 9 other fieldsHigh correlation
등록금 수입 총액 is highly overall correlated with 30퍼센트 규정준수여부_인원 and 9 other fieldsHigh correlation
10퍼센트 규정준수여부_학부_인원 is highly overall correlated with 30퍼센트 규정준수여부_인원 and 6 other fieldsHigh correlation
10퍼센트 규정준수여부_학부_금액 is highly overall correlated with 30퍼센트 규정준수여부_인원 and 8 other fieldsHigh correlation
10퍼센트 규정준수여부_대학원_인원 is highly overall correlated with 30퍼센트 규정준수여부_금액 and 7 other fieldsHigh correlation
10퍼센트 규정준수여부_대학원_금액 is highly overall correlated with 30퍼센트 규정준수여부_금액 and 8 other fieldsHigh correlation
30퍼센트 규정준수여부_학부_인원 is highly overall correlated with 30퍼센트 규정준수여부_인원 and 6 other fieldsHigh correlation
30퍼센트 규정준수여부_학부_금액 is highly overall correlated with 30퍼센트 규정준수여부_인원 and 7 other fieldsHigh correlation
30퍼센트 규정준수여부_대학원_인원 is highly overall correlated with 10퍼센트 규정준수여부_대학원_인원 and 3 other fieldsHigh correlation
30퍼센트 규정준수여부_대학원_금액 is highly overall correlated with 10퍼센트 규정준수여부_대학원_인원 and 3 other fieldsHigh correlation
학부_등록금수입총액 is highly overall correlated with 30퍼센트 규정준수여부_인원 and 8 other fieldsHigh correlation
대학원_등록금수입총액 is highly overall correlated with 30퍼센트 규정준수여부_금액 and 5 other fieldsHigh correlation
본분교구분 is highly imbalanced (90.3%)Imbalance
30퍼센트 규정준수여부_금액 is highly skewed (γ1 = 22.54439364)Skewed
등록금 수입 총액 is highly skewed (γ1 = 20.27002288)Skewed
10퍼센트 규정준수여부_대학원_금액 is highly skewed (γ1 = 22.36297126)Skewed
30퍼센트 규정준수여부_학부_금액 is highly skewed (γ1 = 22.22502309)Skewed
30퍼센트 규정준수여부_대학원_금액 is highly skewed (γ1 = 22.92288763)Skewed
학부_등록금수입총액 is highly skewed (γ1 = 20.1965941)Skewed
대학원_등록금수입총액 is highly skewed (γ1 = 20.39586633)Skewed
30퍼센트 규정준수여부_인원 has 123 (11.5%) zerosZeros
30퍼센트 규정준수여부_금액 has 108 (10.1%) zerosZeros
등록금 수입 총액 has 48 (4.5%) zerosZeros
10퍼센트 규정준수여부_학부_인원 has 145 (13.6%) zerosZeros
10퍼센트 규정준수여부_학부_금액 has 129 (12.1%) zerosZeros
10퍼센트 규정준수여부_대학원_인원 has 523 (49.1%) zerosZeros
10퍼센트 규정준수여부_대학원_금액 has 498 (46.7%) zerosZeros
30퍼센트 규정준수여부_학부_인원 has 161 (15.1%) zerosZeros
30퍼센트 규정준수여부_학부_금액 has 150 (14.1%) zerosZeros
30퍼센트 규정준수여부_대학원_인원 has 769 (72.1%) zerosZeros
30퍼센트 규정준수여부_대학원_금액 has 763 (71.6%) zerosZeros
학부_등록금수입총액 has 142 (13.3%) zerosZeros
대학원_등록금수입총액 has 489 (45.9%) zerosZeros

Reproduction

Analysis started2023-12-12 00:00:14.787621
Analysis finished2023-12-12 00:00:37.269398
Duration22.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

차수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
1
607 
4
459 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
1 607
56.9%
4 459
43.1%

Length

2023-12-12T09:00:37.340158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:00:37.445225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 607
56.9%
4 459
43.1%
Distinct453
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2023-12-12T09:00:37.643580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length7.0356473
Min length4

Characters and Unicode

Total characters7500
Distinct characters212
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)2.0%

Sample

1st row가천의과학대학교
2nd row가톨릭대학교
3rd row목원대학교
4th row감리교신학대학교
5th row강남대학교
ValueCountFrequency (%)
한국폴리텍 24
 
2.1%
대학 22
 
1.9%
한국폴리텍대학 15
 
1.3%
iv 8
 
0.7%
남서울대학교 8
 
0.7%
한양대학교 6
 
0.5%
인제대학교 6
 
0.5%
장안대학교 5
 
0.4%
경산1대학교 5
 
0.4%
고려대학교 5
 
0.4%
Other values (454) 1063
91.1%
2023-12-12T09:00:38.033735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1262
16.8%
1203
 
16.0%
982
 
13.1%
192
 
2.6%
176
 
2.3%
173
 
2.3%
111
 
1.5%
103
 
1.4%
101
 
1.3%
89
 
1.2%
Other values (202) 3108
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7346
97.9%
Space Separator 101
 
1.3%
Uppercase Letter 48
 
0.6%
Decimal Number 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1262
17.2%
1203
16.4%
982
 
13.4%
192
 
2.6%
176
 
2.4%
173
 
2.4%
111
 
1.5%
103
 
1.4%
89
 
1.2%
79
 
1.1%
Other values (198) 2976
40.5%
Uppercase Letter
ValueCountFrequency (%)
I 32
66.7%
V 16
33.3%
Space Separator
ValueCountFrequency (%)
101
100.0%
Decimal Number
ValueCountFrequency (%)
1 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7346
97.9%
Common 106
 
1.4%
Latin 48
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1262
17.2%
1203
16.4%
982
 
13.4%
192
 
2.6%
176
 
2.4%
173
 
2.4%
111
 
1.5%
103
 
1.4%
89
 
1.2%
79
 
1.1%
Other values (198) 2976
40.5%
Common
ValueCountFrequency (%)
101
95.3%
1 5
 
4.7%
Latin
ValueCountFrequency (%)
I 32
66.7%
V 16
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7346
97.9%
ASCII 154
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1262
17.2%
1203
16.4%
982
 
13.4%
192
 
2.6%
176
 
2.4%
173
 
2.4%
111
 
1.5%
103
 
1.4%
89
 
1.2%
79
 
1.1%
Other values (198) 2976
40.5%
ASCII
ValueCountFrequency (%)
101
65.6%
I 32
 
20.8%
V 16
 
10.4%
1 5
 
3.2%

본분교구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
본교
1040 
캠퍼스
 
13
제2캠퍼스
 
12
제3캠퍼스
 
1

Length

Max length5
Median length2
Mean length2.0487805
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
본교 1040
97.6%
캠퍼스 13
 
1.2%
제2캠퍼스 12
 
1.1%
제3캠퍼스 1
 
0.1%

Length

2023-12-12T09:00:38.217223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:00:38.355757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본교 1040
97.6%
캠퍼스 13
 
1.2%
제2캠퍼스 12
 
1.1%
제3캠퍼스 1
 
0.1%

30퍼센트 규정준수여부_인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct726
Distinct (%)68.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2075.7129
Minimum0
Maximum26604
Zeros123
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2023-12-12T09:00:38.502727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1162.25
median856.5
Q32531.75
95-th percentile7972.25
Maximum26604
Range26604
Interquartile range (IQR)2369.5

Descriptive statistics

Standard deviation3251.7183
Coefficient of variation (CV)1.5665549
Kurtosis16.258189
Mean2075.7129
Median Absolute Deviation (MAD)815.5
Skewness3.4186054
Sum2212710
Variance10573672
MonotonicityNot monotonic
2023-12-12T09:00:38.664602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 123
 
11.5%
1536 6
 
0.6%
63 5
 
0.5%
110 5
 
0.5%
799 5
 
0.5%
5745 5
 
0.5%
232 5
 
0.5%
2386 4
 
0.4%
4111 4
 
0.4%
2381 4
 
0.4%
Other values (716) 900
84.4%
ValueCountFrequency (%)
0 123
11.5%
3 1
 
0.1%
4 3
 
0.3%
10 1
 
0.1%
11 2
 
0.2%
13 2
 
0.2%
14 1
 
0.1%
18 4
 
0.4%
19 1
 
0.1%
20 1
 
0.1%
ValueCountFrequency (%)
26604 1
 
0.1%
24945 3
0.3%
24846 1
 
0.1%
20437 1
 
0.1%
20219 1
 
0.1%
19626 1
 
0.1%
17878 1
 
0.1%
17876 1
 
0.1%
17474 1
 
0.1%
15751 1
 
0.1%

30퍼센트 규정준수여부_금액
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct853
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12203105
Minimum0
Maximum4.907863 × 109
Zeros108
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2023-12-12T09:00:38.850017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1135334
median784398.5
Q32091235.2
95-th percentile7353372
Maximum4.907863 × 109
Range4.907863 × 109
Interquartile range (IQR)1955901.2

Descriptive statistics

Standard deviation2.1021092 × 108
Coefficient of variation (CV)17.226019
Kurtosis514.11293
Mean12203105
Median Absolute Deviation (MAD)726502.5
Skewness22.544394
Sum1.300851 × 1010
Variance4.4188629 × 1016
MonotonicityNot monotonic
2023-12-12T09:00:39.028918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 108
 
10.1%
1457697 4
 
0.4%
4845830 4
 
0.4%
818639 4
 
0.4%
600547 3
 
0.3%
298300 3
 
0.3%
48180 3
 
0.3%
942084 3
 
0.3%
1513914 3
 
0.3%
1433205 3
 
0.3%
Other values (843) 928
87.1%
ValueCountFrequency (%)
0 108
10.1%
1134 1
 
0.1%
4040 1
 
0.1%
5221 1
 
0.1%
5232 1
 
0.1%
7200 1
 
0.1%
7600 1
 
0.1%
7694 1
 
0.1%
8000 1
 
0.1%
8800 2
 
0.2%
ValueCountFrequency (%)
4907863000 1
0.1%
4728335600 1
0.1%
600546500 1
0.1%
508158600 1
0.1%
380812000 1
0.1%
21529754 1
0.1%
21410549 1
0.1%
19558441 1
0.1%
19553790 1
0.1%
18869096 1
0.1%

등록금 수입 총액
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct917
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3749149 × 108
Minimum0
Maximum7.9014058 × 1010
Zeros48
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2023-12-12T09:00:39.188517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile131347
Q13826914.2
median18172720
Q343901693
95-th percentile1.4560182 × 108
Maximum7.9014058 × 1010
Range7.9014058 × 1010
Interquartile range (IQR)40074779

Descriptive statistics

Standard deviation3.6256608 × 109
Coefficient of variation (CV)15.266487
Kurtosis427.05833
Mean2.3749149 × 108
Median Absolute Deviation (MAD)16292968
Skewness20.270023
Sum2.5316593 × 1011
Variance1.3145416 × 1019
MonotonicityNot monotonic
2023-12-12T09:00:39.381776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
4.5%
5600373 4
 
0.4%
83642562 4
 
0.4%
172932863 3
 
0.3%
53377375 3
 
0.3%
25181703 3
 
0.3%
222392893 3
 
0.3%
885481 3
 
0.3%
329140 3
 
0.3%
991599 3
 
0.3%
Other values (907) 989
92.8%
ValueCountFrequency (%)
0 48
4.5%
10512 1
 
0.1%
16280 1
 
0.1%
80150 1
 
0.1%
80450 1
 
0.1%
118650 1
 
0.1%
130383 1
 
0.1%
134239 1
 
0.1%
136225 1
 
0.1%
142721 1
 
0.1%
ValueCountFrequency (%)
79014057530 2
0.2%
35947613940 1
0.1%
15339269998 1
0.1%
6486894100 1
0.1%
351534454 1
0.1%
294219601 2
0.2%
292561209 1
0.1%
286635633 2
0.2%
278478931 1
0.1%
276600000 1
0.1%

10퍼센트 규정준수여부_학부_인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct794
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4432.2251
Minimum0
Maximum61510
Zeros145
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2023-12-12T09:00:39.547109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1566
median2759
Q35829
95-th percentile14453.5
Maximum61510
Range61510
Interquartile range (IQR)5263

Descriptive statistics

Standard deviation6203.1829
Coefficient of variation (CV)1.399564
Kurtosis26.009098
Mean4432.2251
Median Absolute Deviation (MAD)2405
Skewness4.0895584
Sum4724752
Variance38479478
MonotonicityNot monotonic
2023-12-12T09:00:39.754279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145
 
13.6%
488 4
 
0.4%
5788 4
 
0.4%
8292 4
 
0.4%
4738 4
 
0.4%
11988 4
 
0.4%
5310 3
 
0.3%
8161 3
 
0.3%
995 3
 
0.3%
5935 3
 
0.3%
Other values (784) 889
83.4%
ValueCountFrequency (%)
0 145
13.6%
4 1
 
0.1%
15 1
 
0.1%
16 1
 
0.1%
18 1
 
0.1%
26 1
 
0.1%
31 2
 
0.2%
36 1
 
0.1%
44 1
 
0.1%
48 1
 
0.1%
ValueCountFrequency (%)
61510 1
 
0.1%
60592 1
 
0.1%
57507 1
 
0.1%
50911 1
 
0.1%
42265 3
0.3%
38525 1
 
0.1%
31971 2
0.2%
31194 1
 
0.1%
30449 1
 
0.1%
28693 1
 
0.1%

10퍼센트 규정준수여부_학부_금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct838
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26632348
Minimum0
Maximum7.5561506 × 109
Zeros129
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2023-12-12T09:00:40.254471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1525084.25
median2507118.5
Q35417508
95-th percentile15738918
Maximum7.5561506 × 109
Range7.5561506 × 109
Interquartile range (IQR)4892423.8

Descriptive statistics

Standard deviation3.676007 × 108
Coefficient of variation (CV)13.80279
Kurtosis350.97112
Mean26632348
Median Absolute Deviation (MAD)2152805.5
Skewness18.270872
Sum2.8390083 × 1010
Variance1.3513027 × 1017
MonotonicityNot monotonic
2023-12-12T09:00:40.444990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 129
 
12.1%
4659924 4
 
0.4%
10779531 4
 
0.4%
5833357 3
 
0.3%
632184 3
 
0.3%
177270 3
 
0.3%
3064106 3
 
0.3%
1249931 3
 
0.3%
3544819 3
 
0.3%
683647 3
 
0.3%
Other values (828) 908
85.2%
ValueCountFrequency (%)
0 129
12.1%
137 1
 
0.1%
2140 1
 
0.1%
7624 1
 
0.1%
10500 2
 
0.2%
11400 1
 
0.1%
13252 1
 
0.1%
23304 1
 
0.1%
24332 1
 
0.1%
24522 1
 
0.1%
ValueCountFrequency (%)
7556150554 1
0.1%
7547769854 1
0.1%
4106024334 1
0.1%
3544818990 1
0.1%
1027677442 1
0.1%
276600000 1
0.1%
51184614 1
0.1%
37750714 1
0.1%
34316986 1
0.1%
33942084 1
0.1%

10퍼센트 규정준수여부_대학원_인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct428
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean701.72702
Minimum0
Maximum10858
Zeros523
Zeros (%)49.1%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2023-12-12T09:00:40.619211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median29.5
Q3681
95-th percentile3572.25
Maximum10858
Range10858
Interquartile range (IQR)681

Descriptive statistics

Standard deviation1488.6053
Coefficient of variation (CV)2.1213453
Kurtosis13.109423
Mean701.72702
Median Absolute Deviation (MAD)29.5
Skewness3.3638719
Sum748041
Variance2215945.8
MonotonicityNot monotonic
2023-12-12T09:00:40.792643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 523
49.1%
1445 5
 
0.5%
292 5
 
0.5%
229 4
 
0.4%
128 4
 
0.4%
577 4
 
0.4%
107 4
 
0.4%
681 4
 
0.4%
274 4
 
0.4%
730 3
 
0.3%
Other values (418) 506
47.5%
ValueCountFrequency (%)
0 523
49.1%
1 1
 
0.1%
5 1
 
0.1%
10 1
 
0.1%
13 1
 
0.1%
27 3
 
0.3%
28 2
 
0.2%
29 1
 
0.1%
30 1
 
0.1%
31 1
 
0.1%
ValueCountFrequency (%)
10858 1
0.1%
10785 1
0.1%
10568 1
0.1%
9034 1
0.1%
8761 1
0.1%
8244 1
0.1%
7979 1
0.1%
7711 1
0.1%
7577 1
0.1%
7449 1
0.1%

10퍼센트 규정준수여부_대학원_금액
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct486
Distinct (%)45.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8388969.4
Minimum0
Maximum3.350416 × 109
Zeros498
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2023-12-12T09:00:40.945755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median79306
Q3885523.25
95-th percentile8497634.2
Maximum3.350416 × 109
Range3.350416 × 109
Interquartile range (IQR)885523.25

Descriptive statistics

Standard deviation1.3885685 × 108
Coefficient of variation (CV)16.552313
Kurtosis510.38459
Mean8388969.4
Median Absolute Deviation (MAD)79306
Skewness22.362971
Sum8.9426413 × 109
Variance1.9281225 × 1016
MonotonicityNot monotonic
2023-12-12T09:00:41.128345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 498
46.7%
169940 4
 
0.4%
619823 4
 
0.4%
4287614 3
 
0.3%
1702863 3
 
0.3%
181800 3
 
0.3%
50768 3
 
0.3%
4313342 3
 
0.3%
23511496 3
 
0.3%
1552789 3
 
0.3%
Other values (476) 539
50.6%
ValueCountFrequency (%)
0 498
46.7%
2600 1
 
0.1%
3200 2
 
0.2%
4940 1
 
0.1%
12340 1
 
0.1%
14190 1
 
0.1%
18480 2
 
0.2%
18700 1
 
0.1%
22160 1
 
0.1%
28858 1
 
0.1%
ValueCountFrequency (%)
3350416000 1
0.1%
2972881000 1
0.1%
594545000 1
0.1%
407661780 1
0.1%
61109168 1
0.1%
58386915 1
0.1%
55630000 1
0.1%
34603466 1
0.1%
33066494 2
0.2%
24061209 1
0.1%

30퍼센트 규정준수여부_학부_인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct714
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1983.9953
Minimum0
Maximum25353
Zeros161
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2023-12-12T09:00:41.355668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1151.5
median849
Q32386.75
95-th percentile7009.25
Maximum25353
Range25353
Interquartile range (IQR)2235.25

Descriptive statistics

Standard deviation3143.3754
Coefficient of variation (CV)1.5843663
Kurtosis17.677415
Mean1983.9953
Median Absolute Deviation (MAD)831
Skewness3.5607598
Sum2114939
Variance9880808.8
MonotonicityNot monotonic
2023-12-12T09:00:41.498217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 161
 
15.1%
88 5
 
0.5%
1536 5
 
0.5%
5745 5
 
0.5%
315 5
 
0.5%
1829 4
 
0.4%
4111 4
 
0.4%
849 4
 
0.4%
1297 4
 
0.4%
2381 4
 
0.4%
Other values (704) 865
81.1%
ValueCountFrequency (%)
0 161
15.1%
3 1
 
0.1%
4 1
 
0.1%
10 1
 
0.1%
13 1
 
0.1%
14 1
 
0.1%
16 1
 
0.1%
18 2
 
0.2%
19 1
 
0.1%
20 1
 
0.1%
ValueCountFrequency (%)
25353 1
 
0.1%
24945 3
0.3%
24288 1
 
0.1%
19922 1
 
0.1%
19783 1
 
0.1%
19609 1
 
0.1%
17474 1
 
0.1%
17444 1
 
0.1%
17442 1
 
0.1%
15262 1
 
0.1%

30퍼센트 규정준수여부_학부_금액
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct813
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9005683.5
Minimum0
Maximum3.3302076 × 109
Zeros150
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2023-12-12T09:00:41.669618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1114850.75
median727547.5
Q32014977.2
95-th percentile6112377.5
Maximum3.3302076 × 109
Range3.3302076 × 109
Interquartile range (IQR)1900126.5

Descriptive statistics

Standard deviation1.4583627 × 108
Coefficient of variation (CV)16.193804
Kurtosis502.73038
Mean9005683.5
Median Absolute Deviation (MAD)702885
Skewness22.225023
Sum9.6000586 × 109
Variance2.1268219 × 1016
MonotonicityNot monotonic
2023-12-12T09:00:41.845909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 150
 
14.1%
818639 4
 
0.4%
163380 4
 
0.4%
4845830 4
 
0.4%
1457697 4
 
0.4%
311092 3
 
0.3%
1513914 3
 
0.3%
1055087 3
 
0.3%
639656 3
 
0.3%
98500 3
 
0.3%
Other values (803) 885
83.0%
ValueCountFrequency (%)
0 150
14.1%
1134 1
 
0.1%
2140 1
 
0.1%
5232 1
 
0.1%
7200 1
 
0.1%
7600 1
 
0.1%
7694 1
 
0.1%
9026 1
 
0.1%
9383 1
 
0.1%
10400 1
 
0.1%
ValueCountFrequency (%)
3330207600 1
0.1%
3321827000 1
0.1%
600546500 1
0.1%
379652000 1
0.1%
315773600 1
0.1%
20843884 1
0.1%
16454628 1
0.1%
13403291 1
0.1%
12807269 1
0.1%
11566606 1
0.1%

30퍼센트 규정준수여부_대학원_인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct186
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.717636
Minimum0
Maximum2389
Zeros769
Zeros (%)72.1%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2023-12-12T09:00:42.024911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311
95-th percentile561.75
Maximum2389
Range2389
Interquartile range (IQR)11

Descriptive statistics

Standard deviation297.66085
Coefficient of variation (CV)3.2454048
Kurtosis28.144476
Mean91.717636
Median Absolute Deviation (MAD)0
Skewness4.9364607
Sum97771
Variance88601.983
MonotonicityNot monotonic
2023-12-12T09:00:42.200110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 769
72.1%
2 7
 
0.7%
68 6
 
0.6%
126 6
 
0.6%
39 5
 
0.5%
4 5
 
0.5%
37 5
 
0.5%
10 5
 
0.5%
25 4
 
0.4%
53 4
 
0.4%
Other values (176) 250
 
23.5%
ValueCountFrequency (%)
0 769
72.1%
1 3
 
0.3%
2 7
 
0.7%
3 1
 
0.1%
4 5
 
0.5%
6 1
 
0.1%
7 3
 
0.3%
8 2
 
0.2%
9 1
 
0.1%
10 5
 
0.5%
ValueCountFrequency (%)
2389 3
0.3%
2272 1
 
0.1%
2271 1
 
0.1%
2260 1
 
0.1%
2246 1
 
0.1%
2112 1
 
0.1%
2080 1
 
0.1%
1927 1
 
0.1%
1636 1
 
0.1%
1543 1
 
0.1%

30퍼센트 규정준수여부_대학원_금액
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct255
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3197421.5
Minimum0
Maximum1.586036 × 109
Zeros763
Zeros (%)71.6%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2023-12-12T09:00:42.381935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q313779
95-th percentile1126957.8
Maximum1.586036 × 109
Range1.586036 × 109
Interquartile range (IQR)13779

Descriptive statistics

Standard deviation64983296
Coefficient of variation (CV)20.323656
Kurtosis529.93438
Mean3197421.5
Median Absolute Deviation (MAD)0
Skewness22.922888
Sum3.4084513 × 109
Variance4.2228287 × 1015
MonotonicityNot monotonic
2023-12-12T09:00:42.577239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 763
71.6%
466052 3
 
0.3%
48180 3
 
0.3%
1536060 3
 
0.3%
89816 3
 
0.3%
105427 3
 
0.3%
33778 3
 
0.3%
3448136 3
 
0.3%
302428 3
 
0.3%
200476 3
 
0.3%
Other values (245) 276
 
25.9%
ValueCountFrequency (%)
0 763
71.6%
500 1
 
0.1%
801 1
 
0.1%
936 1
 
0.1%
1160 1
 
0.1%
1450 2
 
0.2%
1665 1
 
0.1%
1800 1
 
0.1%
2548 1
 
0.1%
3000 1
 
0.1%
ValueCountFrequency (%)
1586036000 1
 
0.1%
1398128000 1
 
0.1%
192385000 1
 
0.1%
10534335 1
 
0.1%
10529684 1
 
0.1%
8603280 1
 
0.1%
7330666 1
 
0.1%
6981804 3
0.3%
6931826 1
 
0.1%
6346836 1
 
0.1%

학부_등록금수입총액
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct838
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0888572 × 108
Minimum0
Maximum6.9824551 × 1010
Zeros142
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2023-12-12T09:00:42.776310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13014240
median16943653
Q341752204
95-th percentile1.1598101 × 108
Maximum6.9824551 × 1010
Range6.9824551 × 1010
Interquartile range (IQR)38737964

Descriptive statistics

Standard deviation3.2093687 × 109
Coefficient of variation (CV)15.364233
Kurtosis424.3994
Mean2.0888572 × 108
Median Absolute Deviation (MAD)15659538
Skewness20.196594
Sum2.2267217 × 1011
Variance1.0300048 × 1019
MonotonicityNot monotonic
2023-12-12T09:00:42.957179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 142
 
13.3%
23347040 4
 
0.4%
5205215 4
 
0.4%
81566190 4
 
0.4%
6672220 3
 
0.3%
276600 3
 
0.3%
133722776 3
 
0.3%
54377596 3
 
0.3%
49116847 3
 
0.3%
2937713 3
 
0.3%
Other values (828) 894
83.9%
ValueCountFrequency (%)
0 142
13.3%
12100 1
 
0.1%
80150 1
 
0.1%
80450 1
 
0.1%
130383 1
 
0.1%
134239 1
 
0.1%
136225 1
 
0.1%
142721 1
 
0.1%
276600 3
 
0.3%
297600 1
 
0.1%
ValueCountFrequency (%)
69824550700 2
0.2%
31805163260 1
0.1%
15089679999 1
0.1%
4844721600 1
0.1%
276600000 1
0.1%
213737985 1
0.1%
192253972 1
0.1%
191566536 1
0.1%
190752865 1
0.1%
182164347 1
0.1%

대학원_등록금수입총액
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct503
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28605775
Minimum0
Maximum9.1895068 × 109
Zeros489
Zeros (%)45.9%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2023-12-12T09:00:43.149120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median327103
Q33661419.5
95-th percentile31279402
Maximum9.1895068 × 109
Range9.1895068 × 109
Interquartile range (IQR)3661419.5

Descriptive statistics

Standard deviation4.2044747 × 108
Coefficient of variation (CV)14.697993
Kurtosis431.48163
Mean28605775
Median Absolute Deviation (MAD)327103
Skewness20.395866
Sum3.0493756 × 1010
Variance1.7677608 × 1017
MonotonicityNot monotonic
2023-12-12T09:00:43.326941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 489
45.9%
395158 4
 
0.4%
2076372 4
 
0.4%
4260528 3
 
0.3%
7626603 3
 
0.3%
885481 3
 
0.3%
1809137 3
 
0.3%
991599 3
 
0.3%
1169800 3
 
0.3%
329140 3
 
0.3%
Other values (493) 548
51.4%
ValueCountFrequency (%)
0 489
45.9%
10512 1
 
0.1%
16280 1
 
0.1%
24080 1
 
0.1%
31612 2
 
0.2%
59126 1
 
0.1%
61391 1
 
0.1%
86010 2
 
0.2%
118650 1
 
0.1%
124599 1
 
0.1%
ValueCountFrequency (%)
9189506830 2
0.2%
4142450680 1
0.1%
1642172500 1
0.1%
249589999 1
0.1%
139181360 2
0.2%
137796469 1
0.1%
137464427 1
0.1%
129835274 2
0.2%
103444493 1
0.1%
99701345 1
0.1%

Interactions

2023-12-12T09:00:35.463898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:15.865903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:17.428372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:19.012095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:20.921230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:22.419674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:24.156390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:25.911803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:27.845074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:29.186601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:31.050584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:32.458374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:34.014758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:35.553798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:15.989408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:17.551199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:19.464479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:21.056169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:22.526388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:24.283616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:26.030839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:27.959059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:29.317529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:31.173015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:32.564213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:34.107441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:35.644822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:16.094638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:17.650954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:19.577267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:21.168693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:22.624010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:24.420689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:26.168209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:28.072215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:29.518970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:31.296800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:32.651749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:34.200042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:35.752203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:16.223984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:17.766523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:19.713457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:21.307263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:22.758250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:24.576712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:26.347343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:28.174958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:29.692644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:31.466170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:32.758137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:34.299028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:35.846754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:16.326912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:17.865851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:19.842759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:21.426826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:22.882419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:24.703365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:26.488363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:28.268433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:29.837665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:31.571656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:32.869990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:34.401048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:35.969732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:16.433441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:17.993499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:19.952819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:21.547092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:23.018422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:24.847631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:26.885655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:28.370209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:29.955813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:31.682844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:32.967336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:34.496359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:36.077391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:16.596156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:18.098013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:20.051674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:21.650072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:23.150614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:24.974445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:26.996786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:28.473695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:30.092432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:31.768612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:33.067102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:34.589022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:36.184888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:16.712982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:18.225044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:20.170434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:21.755874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:23.328429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:25.124680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:27.144776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:28.586759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:30.261458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:31.886803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:33.169205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:34.714340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:36.294880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:16.827909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:18.378170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:20.283339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:21.860967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:23.454423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:25.249496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:27.267542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:28.669841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:30.410126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:31.979355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:33.250960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:34.823792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:36.418450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:16.940277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:18.527815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:20.446097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:21.974744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:23.565488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:25.394498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:27.367020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:28.762069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:30.533224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:32.079661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:33.338584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:34.926909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:36.529594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:17.050027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:18.654277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:20.581007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:22.086814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:23.695084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:25.518898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:27.459512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:28.852075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:30.667855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:32.164676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:33.414220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:35.057688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:36.674616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:17.162814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:18.780655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:20.708946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:22.208583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:23.886224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:25.648657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:27.616359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:28.964514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:30.798013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:32.265103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:33.797800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:35.233990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:36.789083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:17.297688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:18.888939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:20.827072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:22.321887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:24.045887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:25.797458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:27.743100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:29.062168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:30.929655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:32.357134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:33.929956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:00:35.364056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:00:43.452732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차수본분교구분30퍼센트 규정준수여부_인원30퍼센트 규정준수여부_금액등록금 수입 총액10퍼센트 규정준수여부_학부_인원10퍼센트 규정준수여부_학부_금액10퍼센트 규정준수여부_대학원_인원10퍼센트 규정준수여부_대학원_금액30퍼센트 규정준수여부_학부_인원30퍼센트 규정준수여부_학부_금액30퍼센트 규정준수여부_대학원_인원30퍼센트 규정준수여부_대학원_금액학부_등록금수입총액대학원_등록금수입총액
차수1.0000.0000.1750.0190.0090.0660.0000.0000.0090.1880.0190.0460.0000.0090.009
본분교구분0.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
30퍼센트 규정준수여부_인원0.1750.0001.0000.1870.0710.9190.0000.5940.0710.9950.1870.6280.0690.0710.071
30퍼센트 규정준수여부_금액0.0190.0000.1871.0000.8030.0001.0000.0001.0000.0000.9710.5500.8030.8031.000
등록금 수입 총액0.0090.0000.0710.8031.0000.0001.0000.0000.9520.0001.0000.3500.8941.0000.982
10퍼센트 규정준수여부_학부_인원0.0660.0000.9190.0000.0001.0000.0000.6360.0000.9140.0000.6410.0000.0000.000
10퍼센트 규정준수여부_학부_금액0.0000.0000.0001.0001.0000.0001.0000.0000.8410.0001.0000.3260.8411.0001.000
10퍼센트 규정준수여부_대학원_인원0.0000.0000.5940.0000.0000.6360.0001.0000.0930.5730.0000.7290.0910.0000.000
10퍼센트 규정준수여부_대학원_금액0.0090.0000.0711.0000.9520.0000.8410.0931.0000.0000.7420.3500.9960.9520.982
30퍼센트 규정준수여부_학부_인원0.1880.0000.9950.0000.0000.9140.0000.5730.0001.0000.0000.5230.0000.0000.000
30퍼센트 규정준수여부_학부_금액0.0190.0000.1870.9711.0000.0001.0000.0000.7420.0001.0000.5500.6761.0000.803
30퍼센트 규정준수여부_대학원_인원0.0460.0000.6280.5500.3500.6410.3260.7290.3500.5230.5501.0000.3500.3500.350
30퍼센트 규정준수여부_대학원_금액0.0000.0000.0690.8030.8940.0000.8410.0910.9960.0000.6760.3501.0000.8940.982
학부_등록금수입총액0.0090.0000.0710.8031.0000.0001.0000.0000.9520.0001.0000.3500.8941.0000.982
대학원_등록금수입총액0.0090.0000.0711.0000.9820.0001.0000.0000.9820.0000.8030.3500.9820.9821.000
2023-12-12T09:00:43.634445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차수본분교구분
차수1.0000.000
본분교구분0.0001.000
2023-12-12T09:00:43.728056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
30퍼센트 규정준수여부_인원30퍼센트 규정준수여부_금액등록금 수입 총액10퍼센트 규정준수여부_학부_인원10퍼센트 규정준수여부_학부_금액10퍼센트 규정준수여부_대학원_인원10퍼센트 규정준수여부_대학원_금액30퍼센트 규정준수여부_학부_인원30퍼센트 규정준수여부_학부_금액30퍼센트 규정준수여부_대학원_인원30퍼센트 규정준수여부_대학원_금액학부_등록금수입총액대학원_등록금수입총액차수본분교구분
30퍼센트 규정준수여부_인원1.0000.9370.8250.9040.8650.4910.4750.9950.9410.3020.2800.8360.4390.1740.000
30퍼센트 규정준수여부_금액0.9371.0000.8760.8500.9100.5390.5590.9250.9860.3400.3380.8810.5090.0310.000
등록금 수입 총액0.8250.8761.0000.8570.9230.5680.5780.8220.8820.2990.2960.9890.5680.0060.000
10퍼센트 규정준수여부_학부_인원0.9040.8500.8571.0000.9330.4730.4520.9110.8720.2480.2270.8730.4170.0660.000
10퍼센트 규정준수여부_학부_금액0.8650.9100.9230.9331.0000.5050.5150.8700.9290.2470.2380.9370.4710.0000.000
10퍼센트 규정준수여부_대학원_인원0.4910.5390.5680.4730.5051.0000.9590.4560.4950.6440.6240.5070.9400.0000.000
10퍼센트 규정준수여부_대학원_금액0.4750.5590.5780.4520.5150.9591.0000.4400.5090.6150.6230.5140.9620.0060.000
30퍼센트 규정준수여부_학부_인원0.9950.9250.8220.9110.8700.4560.4401.0000.9430.2390.2190.8390.4060.1870.000
30퍼센트 규정준수여부_학부_금액0.9410.9860.8820.8720.9290.4950.5090.9431.0000.2550.2470.8970.4650.0310.000
30퍼센트 규정준수여부_대학원_인원0.3020.3400.2990.2480.2470.6440.6150.2390.2551.0000.9820.2510.6120.0460.000
30퍼센트 규정준수여부_대학원_금액0.2800.3380.2960.2270.2380.6240.6230.2190.2470.9821.0000.2460.6200.0000.000
학부_등록금수입총액0.8360.8810.9890.8730.9370.5070.5140.8390.8970.2510.2461.0000.4920.0060.000
대학원_등록금수입총액0.4390.5090.5680.4170.4710.9400.9620.4060.4650.6120.6200.4921.0000.0060.000
차수0.1740.0310.0060.0660.0000.0000.0060.1870.0310.0460.0000.0060.0061.0000.000
본분교구분0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.000

Missing values

2023-12-12T09:00:36.915177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:00:37.160119image/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

차수학교명본분교구분30퍼센트 규정준수여부_인원30퍼센트 규정준수여부_금액등록금 수입 총액10퍼센트 규정준수여부_학부_인원10퍼센트 규정준수여부_학부_금액10퍼센트 규정준수여부_대학원_인원10퍼센트 규정준수여부_대학원_금액30퍼센트 규정준수여부_학부_인원30퍼센트 규정준수여부_학부_금액30퍼센트 규정준수여부_대학원_인원30퍼센트 규정준수여부_대학원_금액학부_등록금수입총액대학원_등록금수입총액
04가천의과학대학교본교4047228803638786028573916842723231754240472288000304623265925534
14가톨릭대학교본교304045850598934748549737928231254151269982180287088886017141715757648331771002
24목원대학교본교2882349911374564311712485188001662224562023182827530564671583692113905352921
34감리교신학대학교본교2451780629931440438543791406562975151100532947753046807205250720
44강남대학교본교165518833606149849240015691863968178396715281710916127172444563478285150664
54건국대학교본교2362289555716977163391451562794763471409417123432873557192200012366762946104004
64건양대학교본교198022784676020195745005667931118020056131980227846700558716904330267
74경기대학교본교824257562791257178751301814173685297439584227947512779929562848010440540621312469
84경동대학교본교66181634622190469176124691500066181634600221904690
94가천대학교본교78416178987140513539114621292515124334144493784161789870012503716315476376
차수학교명본분교구분30퍼센트 규정준수여부_인원30퍼센트 규정준수여부_금액등록금 수입 총액10퍼센트 규정준수여부_학부_인원10퍼센트 규정준수여부_학부_금액10퍼센트 규정준수여부_대학원_인원10퍼센트 규정준수여부_대학원_금액30퍼센트 규정준수여부_학부_인원30퍼센트 규정준수여부_학부_금액30퍼센트 규정준수여부_대학원_인원30퍼센트 규정준수여부_대학원_금액학부_등록금수입총액대학원_등록금수입총액
10561강릉원주대학교본교4111240817037895237673746950936265420664111240817000345344123360825
10571목포해양대학교본교55841112688464111024749327135160282558411126008332403514008
10581한국산업기술대학교본교33922918458531204325021498545664211010043392291845800497785743341858
10591인하대학교본교68098376331172932863112521577590852171612169158414928195968344813613372277639210087
10601제주국제대학교본교10598428817920829389536055911921575811059842881007351443569386
10611예수대학교본교507195169411072310025411305320050719516900407911131612
10621서경대학교본교16802536458533773755760647438957717028631680253645800491168474260528
10631군장대학교본교84975851713228746180816779490084975851700132287460
10641충남대학교본교1233752195299875190918834996155641113550321123375219529006863747830114431
10651서울대학교본교348458859991835522826357604782665841292432220682598461141632875389003282093519462

Duplicate rows

Most frequently occurring

차수학교명본분교구분30퍼센트 규정준수여부_인원30퍼센트 규정준수여부_금액등록금 수입 총액10퍼센트 규정준수여부_학부_인원10퍼센트 규정준수여부_학부_금액10퍼센트 규정준수여부_대학원_인원10퍼센트 규정준수여부_대학원_금액30퍼센트 규정준수여부_학부_인원30퍼센트 규정준수여부_학부_금액30퍼센트 규정준수여부_대학원_인원30퍼센트 규정준수여부_대학원_금액학부_등록금수입총액대학원_등록금수입총액# duplicates
01가톨릭대학교본교3831528305389084583597385219322821618284032604007379571127567456441618326429652
11강원대학교본교1205662040939974967917623100961252723249401211893605412216314997185178376145713032
21경산1대학교본교15361457697056945833357001536145769700002
31경희사이버대학교본교32517266024511890829244109412291699403151633801092802334704011648502
41계약신학대학원대학교본교149298300329140001492983000014929830003291402
51고신대학교본교23862128426337213292889309066815461284595182915877885575406382609472676266032
61구세군사관학교본교00276600027660000000027660002
71김포대학교본교2067106633320602653399330641060020671066333002060265302
81김해대학교본교34421126950370669956321840034421126900503706602
91남서울대학교본교00000000000002