Overview

Dataset statistics

Number of variables6
Number of observations2188
Missing cells0
Missing cells (%)0.0%
Duplicate rows263
Duplicate rows (%)12.0%
Total size in memory107.0 KiB
Average record size in memory50.1 B

Variable types

Categorical3
Text1
DateTime2

Dataset

Description학점은행제 정보공시 자료의 검증 시 예외 사유에 대한 정보이며, 공시년도, 공시시기, 공시항목명, 검증사유, 생성일시, 수정일시 항목의 정보를 제공합니다.
Author국가평생교육진흥원
URLhttps://www.data.go.kr/data/15090502/fileData.do

Alerts

Dataset has 263 (12.0%) duplicate rowsDuplicates
공시시기 is highly overall correlated with 공시항목명High correlation
공시항목명 is highly overall correlated with 공시시기High correlation

Reproduction

Analysis started2023-12-12 13:18:29.386847
Analysis finished2023-12-12 13:18:29.977986
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공시년도
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2018
1598 
2019
263 
2020
191 
2021
 
136

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2018 1598
73.0%
2019 263
 
12.0%
2020 191
 
8.7%
2021 136
 
6.2%

Length

2023-12-12T22:18:30.060459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:18:30.194060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 1598
73.0%
2019 263
 
12.0%
2020 191
 
8.7%
2021 136
 
6.2%

공시시기
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
8
1184 
9
964 
3
 
40

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8
2nd row8
3rd row8
4th row8
5th row8

Common Values

ValueCountFrequency (%)
8 1184
54.1%
9 964
44.1%
3 40
 
1.8%

Length

2023-12-12T22:18:30.316438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:18:30.428476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
8 1184
54.1%
9 964
44.1%
3 40
 
1.8%

공시항목명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
예산 및 결산 [예산서]
609 
학습비 반환 현황
587 
장학금 지급 현황
575 
직원 수
377 
교수 또는 강사 강의료
 
24
Other values (2)
 
16

Length

Max length37
Median length9
Mean length9.4808044
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row예산 및 결산 [예산서]
2nd row장학금 지급 현황
3rd row장학금 지급 현황
4th row장학금 지급 현황
5th row장학금 지급 현황

Common Values

ValueCountFrequency (%)
예산 및 결산 [예산서] 609
27.8%
학습비 반환 현황 587
26.8%
장학금 지급 현황 575
26.3%
직원 수 377
17.2%
교수 또는 강사 강의료 24
 
1.1%
기관 전체 교수 또는 강사 대비 해당 기관 소속 교수 또는 강사현황 15
 
0.7%
교수 또는 강사의 강의 담당 현황 1
 
< 0.1%

Length

2023-12-12T22:18:30.551250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:18:30.708858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현황 1163
16.7%
예산 609
8.8%
609
8.8%
결산 609
8.8%
예산서 609
8.8%
학습비 587
8.4%
반환 587
8.4%
장학금 575
8.3%
지급 575
8.3%
직원 377
 
5.4%
Other values (14) 658
9.5%
Distinct666
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2023-12-12T22:18:31.053512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length315
Median length4
Mean length11.735375
Min length1

Characters and Unicode

Total characters25677
Distinct characters421
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique574 ?
Unique (%)26.2%

Sample

1st row이상없음 확인
2nd row이상없음 확인
3rd row이상없음 확인
4th row이상없음
5th row이상없음
ValueCountFrequency (%)
이상없음 1402
 
23.3%
없음 126
 
2.1%
인한 63
 
1.0%
예산 62
 
1.0%
학습비 50
 
0.8%
47
 
0.8%
47
 
0.8%
학점은행제 46
 
0.8%
추경 44
 
0.7%
추경예산 35
 
0.6%
Other values (1948) 4095
68.1%
2023-12-12T22:18:31.614810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3993
 
15.6%
1723
 
6.7%
1655
 
6.4%
1633
 
6.4%
1524
 
5.9%
465
 
1.8%
0 402
 
1.6%
389
 
1.5%
365
 
1.4%
336
 
1.3%
Other values (411) 13192
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19524
76.0%
Space Separator 3993
 
15.6%
Decimal Number 1471
 
5.7%
Other Punctuation 394
 
1.5%
Close Punctuation 70
 
0.3%
Open Punctuation 69
 
0.3%
Uppercase Letter 55
 
0.2%
Math Symbol 53
 
0.2%
Dash Punctuation 35
 
0.1%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1723
 
8.8%
1655
 
8.5%
1633
 
8.4%
1524
 
7.8%
465
 
2.4%
389
 
2.0%
365
 
1.9%
336
 
1.7%
328
 
1.7%
277
 
1.4%
Other values (365) 10829
55.5%
Decimal Number
ValueCountFrequency (%)
0 402
27.3%
1 333
22.6%
2 296
20.1%
9 104
 
7.1%
8 76
 
5.2%
3 75
 
5.1%
7 72
 
4.9%
6 40
 
2.7%
5 37
 
2.5%
4 36
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
O 17
30.9%
K 10
18.2%
C 10
18.2%
M 8
14.5%
I 3
 
5.5%
P 2
 
3.6%
E 2
 
3.6%
X 1
 
1.8%
D 1
 
1.8%
V 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 296
75.1%
" 48
 
12.2%
: 28
 
7.1%
% 6
 
1.5%
/ 6
 
1.5%
' 6
 
1.5%
* 4
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
a 2
22.2%
x 2
22.2%
o 1
11.1%
v 1
11.1%
i 1
11.1%
s 1
11.1%
d 1
11.1%
Math Symbol
ValueCountFrequency (%)
= 23
43.4%
+ 10
18.9%
~ 10
18.9%
> 7
 
13.2%
< 3
 
5.7%
Open Punctuation
ValueCountFrequency (%)
( 64
92.8%
[ 5
 
7.2%
Close Punctuation
ValueCountFrequency (%)
) 64
91.4%
] 6
 
8.6%
Space Separator
ValueCountFrequency (%)
3993
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19524
76.0%
Common 6089
 
23.7%
Latin 64
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1723
 
8.8%
1655
 
8.5%
1633
 
8.4%
1524
 
7.8%
465
 
2.4%
389
 
2.0%
365
 
1.9%
336
 
1.7%
328
 
1.7%
277
 
1.4%
Other values (365) 10829
55.5%
Common
ValueCountFrequency (%)
3993
65.6%
0 402
 
6.6%
1 333
 
5.5%
. 296
 
4.9%
2 296
 
4.9%
9 104
 
1.7%
8 76
 
1.2%
3 75
 
1.2%
7 72
 
1.2%
( 64
 
1.1%
Other values (19) 378
 
6.2%
Latin
ValueCountFrequency (%)
O 17
26.6%
K 10
15.6%
C 10
15.6%
M 8
12.5%
I 3
 
4.7%
P 2
 
3.1%
E 2
 
3.1%
a 2
 
3.1%
x 2
 
3.1%
o 1
 
1.6%
Other values (7) 7
10.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19524
76.0%
ASCII 6153
 
24.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3993
64.9%
0 402
 
6.5%
1 333
 
5.4%
. 296
 
4.8%
2 296
 
4.8%
9 104
 
1.7%
8 76
 
1.2%
3 75
 
1.2%
7 72
 
1.2%
( 64
 
1.0%
Other values (36) 442
 
7.2%
Hangul
ValueCountFrequency (%)
1723
 
8.8%
1655
 
8.5%
1633
 
8.4%
1524
 
7.8%
465
 
2.4%
389
 
2.0%
365
 
1.9%
336
 
1.7%
328
 
1.7%
277
 
1.4%
Other values (365) 10829
55.5%
Distinct1749
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
Minimum2018-07-30 10:14:00
Maximum2021-08-24 16:55:00
2023-12-12T22:18:31.764698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:18:31.912042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1749
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
Minimum2018-07-30 10:14:00
Maximum2021-08-24 16:55:00
2023-12-12T22:18:32.088704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:18:32.233276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2023-12-12T22:18:32.332131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시년도공시시기공시항목명
공시년도1.0000.2570.377
공시시기0.2571.0001.000
공시항목명0.3771.0001.000
2023-12-12T22:18:32.419965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시시기공시년도공시항목명
공시시기1.0000.2460.999
공시년도0.2461.0000.268
공시항목명0.9990.2681.000
2023-12-12T22:18:32.504722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시년도공시시기공시항목명
공시년도1.0000.2460.268
공시시기0.2461.0000.999
공시항목명0.2680.9991.000

Missing values

2023-12-12T22:18:29.806313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:18:29.927416image/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

공시년도공시시기공시항목명검증사유생성일시수정일시
020188예산 및 결산 [예산서]이상없음 확인2018/08/08 11:022018/08/08 11:02
120188장학금 지급 현황이상없음 확인2018/08/09 11:392018/08/09 11:39
220188장학금 지급 현황이상없음 확인2018/08/09 11:392018/08/09 11:39
320188장학금 지급 현황이상없음2018/08/07 15:162018/08/07 15:16
420188장학금 지급 현황이상없음2018/08/08 15:462018/08/08 15:46
520188예산 및 결산 [예산서]이상없음2018/08/08 15:432018/08/08 15:43
620188장학금 지급 현황이상없음'2018/08/10 11:112018/08/10 11:11
720188예산 및 결산 [예산서]이상없음'2018/08/09 16:462018/08/09 16:46
820188장학금 지급 현황이상없음2018/08/10 14:072018/08/10 14:07
920188예산 및 결산 [예산서]이상없음2018/08/10 13:312018/08/10 13:31
공시년도공시시기공시항목명검증사유생성일시수정일시
217820218장학금 지급 현황코로나로 인한 학습자 모집 미달로 운영된 평가인정 학습과정 없음.2021/08/16 16:162021/08/16 16:16
217920218장학금 지급 현황학습자 정원 미달로 인해 학습이 진행되지 않아 장학금 지급 불가2021/08/20 14:472021/08/20 14:47
218020218예산 및 결산 [예산서]국고사업 확장2021/08/20 16:372021/08/20 16:37
218120218예산 및 결산 [예산서]코로나19로 인하여 학생모집 중단2021/08/12 9:232021/08/12 9:23
218220218예산 및 결산 [예산서]코로나19로 인한 학생수 감소로 지출 축소2021/08/12 17:412021/08/12 17:41
218320218장학금 지급 현황2020년 5월 20일 개원으로 인한 운영과정 없음2021/08/10 14:082021/08/10 14:08
218420218장학금 지급 현황평가인정이후 현재 재학생은 없으며 2021년 학습자모집을 계획하고 있음에 따라 결산자료는 없음2021/08/15 20:332021/08/15 20:33
218520218장학금 지급 현황신규 평가인정 기관으로 20년 운영 실적이 없어 공시할 값이 없음2021/08/16 14:312021/08/16 14:31
218620218장학금 지급 현황2021년도에 학점은행제운영 시작2021/08/10 11:182021/08/10 11:18
218720218장학금 지급 현황우리 대학은 2020년 9월 7일 학습과정 평가인정을 받아 전년도 9월 공시 과목별학습자수가 없어 금년도 3월 공시 과목별 학습자수만을 기재하였음2021/08/03 15:082021/08/03 15:08

Duplicate rows

Most frequently occurring

공시년도공시시기공시항목명검증사유생성일시수정일시# duplicates
16820189학습비 반환 현황이상없음2018/09/05 11:432018/09/05 11:434
18220189학습비 반환 현황이상없음2018/09/06 11:022018/09/06 11:024
19520189학습비 반환 현황이상없음2018/09/07 13:242018/09/07 13:244
20920189학습비 반환 현황이상없음2018/09/07 17:502018/09/07 17:504
3520188장학금 지급 현황이상없음2018/08/09 11:232018/08/09 11:233
4820188장학금 지급 현황이상없음2018/08/09 17:052018/08/09 17:053
5520188장학금 지급 현황이상없음2018/08/10 13:372018/08/10 13:373
5720188장학금 지급 현황이상없음2018/08/10 13:492018/08/10 13:493
5920188장학금 지급 현황이상없음2018/08/10 14:212018/08/10 14:213
8020188장학금 지급 현황이상없음2018/08/13 13:202018/08/13 13:203