Overview

Dataset statistics

Number of variables11
Number of observations1084
Missing cells2168
Missing cells (%)18.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory100.7 KiB
Average record size in memory95.1 B

Variable types

Numeric5
Unsupported2
Text1
DateTime3

Dataset

Description학점은행제 정보공시 자료에 대하여 교육훈련기관에서 수정 요청 관련 자료이며 공시년도, 공시시기, 입력순번, 공시입력시작일자, 공시입력시작시간, 공시입력종료일자, 공시입력종료시간, 공시수정사유, 공시수정신청일시, 생성일시, 수정일시 항목으로 정보를 제공합니다.
Author국가평생교육진흥원
URLhttps://www.data.go.kr/data/15087928/fileData.do

Alerts

공시년도 is highly overall correlated with 공시시기 and 3 other fieldsHigh correlation
공시시기 is highly overall correlated with 공시년도High correlation
입력순번 is highly overall correlated with 공시년도 and 2 other fieldsHigh correlation
공시입력시작일자 is highly overall correlated with 공시년도 and 2 other fieldsHigh correlation
공시입력종료일자 is highly overall correlated with 공시년도 and 2 other fieldsHigh correlation
공시입력시작시간 has 1084 (100.0%) missing valuesMissing
공시입력종료시간 has 1084 (100.0%) missing valuesMissing
입력순번 has unique valuesUnique
공시입력시작시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공시입력종료시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-19 06:55:13.899523
Analysis finished2024-04-19 06:55:16.749214
Duration2.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공시년도
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.6116
Minimum2016
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-19T15:55:16.796777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2016
5-th percentile2016
Q12017
median2017
Q32018
95-th percentile2019
Maximum2021
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.164056
Coefficient of variation (CV)0.00057694751
Kurtosis0.34701733
Mean2017.6116
Median Absolute Deviation (MAD)1
Skewness0.75088081
Sum2187091
Variance1.3550264
MonotonicityIncreasing
2024-04-19T15:55:16.900713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2017 441
40.7%
2018 235
21.7%
2019 199
18.4%
2016 157
 
14.5%
2021 31
 
2.9%
2020 21
 
1.9%
ValueCountFrequency (%)
2016 157
 
14.5%
2017 441
40.7%
2018 235
21.7%
2019 199
18.4%
2020 21
 
1.9%
2021 31
 
2.9%
ValueCountFrequency (%)
2021 31
 
2.9%
2020 21
 
1.9%
2019 199
18.4%
2018 235
21.7%
2017 441
40.7%
2016 157
 
14.5%

공시시기
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5202952
Minimum0
Maximum9
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-19T15:55:17.016424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median3
Q39
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.9959273
Coefficient of variation (CV)0.54271143
Kurtosis-1.848126
Mean5.5202952
Median Absolute Deviation (MAD)1
Skewness0.14031242
Sum5984
Variance8.9755803
MonotonicityNot monotonic
2024-04-19T15:55:17.104636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 416
38.4%
9 382
35.2%
2 147
 
13.6%
8 91
 
8.4%
6 46
 
4.2%
0 2
 
0.2%
ValueCountFrequency (%)
0 2
 
0.2%
2 147
 
13.6%
3 416
38.4%
6 46
 
4.2%
8 91
 
8.4%
9 382
35.2%
ValueCountFrequency (%)
9 382
35.2%
8 91
 
8.4%
6 46
 
4.2%
3 416
38.4%
2 147
 
13.6%
0 2
 
0.2%

입력순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1084
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean849.52399
Minimum292
Maximum1402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-19T15:55:17.215962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum292
5-th percentile349.15
Q1570.75
median843.5
Q31131.25
95-th percentile1347.85
Maximum1402
Range1110
Interquartile range (IQR)560.5

Descriptive statistics

Standard deviation322.77307
Coefficient of variation (CV)0.3799458
Kurtosis-1.223298
Mean849.52399
Median Absolute Deviation (MAD)280.5
Skewness-0.0066226412
Sum920884
Variance104182.46
MonotonicityNot monotonic
2024-04-19T15:55:17.342420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
292 1
 
0.1%
1068 1
 
0.1%
1019 1
 
0.1%
1024 1
 
0.1%
1042 1
 
0.1%
1044 1
 
0.1%
1053 1
 
0.1%
1041 1
 
0.1%
1045 1
 
0.1%
1054 1
 
0.1%
Other values (1074) 1074
99.1%
ValueCountFrequency (%)
292 1
0.1%
294 1
0.1%
295 1
0.1%
296 1
0.1%
297 1
0.1%
298 1
0.1%
299 1
0.1%
300 1
0.1%
301 1
0.1%
302 1
0.1%
ValueCountFrequency (%)
1402 1
0.1%
1401 1
0.1%
1400 1
0.1%
1399 1
0.1%
1398 1
0.1%
1397 1
0.1%
1396 1
0.1%
1395 1
0.1%
1394 1
0.1%
1393 1
0.1%

공시입력시작일자
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20176698
Minimum20160930
Maximum20210601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-19T15:55:17.492422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20160930
5-th percentile20161020
Q120170330
median20170925
Q320180827
95-th percentile20190729
Maximum20210601
Range49671
Interquartile range (IQR)10497

Descriptive statistics

Standard deviation11443.903
Coefficient of variation (CV)0.00056718411
Kurtosis0.4027174
Mean20176698
Median Absolute Deviation (MAD)9380
Skewness0.78463477
Sum2.1871541 × 1010
Variance1.3096291 × 108
MonotonicityNot monotonic
2024-04-19T15:55:17.680699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170330 140
 
12.9%
20190304 139
 
12.8%
20180305 81
 
7.5%
20170925 76
 
7.0%
20180205 69
 
6.4%
20170926 50
 
4.6%
20170923 48
 
4.4%
20180827 43
 
4.0%
20170829 37
 
3.4%
20190218 32
 
3.0%
Other values (53) 369
34.0%
ValueCountFrequency (%)
20160930 15
1.4%
20161006 1
 
0.1%
20161007 1
 
0.1%
20161012 1
 
0.1%
20161013 2
 
0.2%
20161014 2
 
0.2%
20161017 2
 
0.2%
20161018 4
 
0.4%
20161019 13
1.2%
20161020 29
2.7%
ValueCountFrequency (%)
20210601 1
 
0.1%
20210302 17
1.6%
20210201 13
1.2%
20200901 2
 
0.2%
20200803 3
 
0.3%
20200604 2
 
0.2%
20200305 7
 
0.6%
20200203 7
 
0.6%
20190826 2
 
0.2%
20190729 19
1.8%

공시입력시작시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1084
Missing (%)100.0%
Memory size9.7 KiB

공시입력종료일자
Real number (ℝ)

HIGH CORRELATION 

Distinct73
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20176785
Minimum20161105
Maximum20210624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-04-19T15:55:17.815774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20161105
5-th percentile20161119
Q120170429
median20171025
Q320180911
95-th percentile20190823
Maximum20210624
Range49519
Interquartile range (IQR)10482

Descriptive statistics

Standard deviation11392.115
Coefficient of variation (CV)0.00056461501
Kurtosis0.42568223
Mean20176785
Median Absolute Deviation (MAD)9288
Skewness0.79148458
Sum2.1871635 × 1010
Variance1.297803 × 108
MonotonicityNot monotonic
2024-04-19T15:55:17.954921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170429 140
 
12.9%
20190311 139
 
12.8%
20180313 81
 
7.5%
20171025 76
 
7.0%
20180220 50
 
4.6%
20171026 50
 
4.6%
20171023 48
 
4.4%
20180911 38
 
3.5%
20170928 37
 
3.4%
20190219 32
 
3.0%
Other values (63) 393
36.3%
ValueCountFrequency (%)
20161105 1
 
0.1%
20161106 1
 
0.1%
20161111 1
 
0.1%
20161112 2
 
0.2%
20161113 2
 
0.2%
20161116 2
 
0.2%
20161117 4
 
0.4%
20161118 13
1.2%
20161119 29
2.7%
20161120 23
2.1%
ValueCountFrequency (%)
20210624 1
 
0.1%
20210325 17
1.6%
20210225 1
 
0.1%
20210222 7
0.6%
20210215 5
 
0.5%
20200923 2
 
0.2%
20200825 3
 
0.3%
20200624 2
 
0.2%
20200325 7
0.6%
20200225 5
 
0.5%

공시입력종료시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1084
Missing (%)100.0%
Memory size9.7 KiB

공시수정사유
Text

Distinct581
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
2024-04-19T15:55:18.234754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length413
Median length99
Mean length14.064576
Min length2

Characters and Unicode

Total characters15246
Distinct characters371
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique497 ?
Unique (%)45.8%

Sample

1st row수강료 총액 미입력
2nd row일부 수정
3rd row전체 수정
4th row강의학점 수 수정
5th row전체 수정
ValueCountFrequency (%)
수정 248
 
6.6%
오류 191
 
5.1%
오입력 129
 
3.4%
데이터 106
 
2.8%
오류수정 80
 
2.1%
수 64
 
1.7%
입력 53
 
1.4%
및 46
 
1.2%
인한 42
 
1.1%
강의담당학점 41
 
1.1%
Other values (1123) 2750
73.3%
2024-04-19T15:55:18.671037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2776
 
18.2%
수 734
 
4.8%
정 686
 
4.5%
오 565
 
3.7%
입 392
 
2.6%
학 382
 
2.5%
류 380
 
2.5%
력 351
 
2.3%
강 285
 
1.9%
의 217
 
1.4%
Other values (361) 8478
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11514
75.5%
Space Separator 2776
 
18.2%
Decimal Number 538
 
3.5%
Other Punctuation 166
 
1.1%
Close Punctuation 85
 
0.6%
Open Punctuation 71
 
0.5%
Control 32
 
0.2%
Math Symbol 26
 
0.2%
Dash Punctuation 23
 
0.2%
Uppercase Letter 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 734
 
6.4%
정 686
 
6.0%
오 565
 
4.9%
입 392
 
3.4%
학 382
 
3.3%
류 380
 
3.3%
력 351
 
3.0%
강 285
 
2.5%
의 217
 
1.9%
전 195
 
1.7%
Other values (322) 7327
63.6%
Decimal Number
ValueCountFrequency (%)
1 171
31.8%
2 115
21.4%
0 64
 
11.9%
7 48
 
8.9%
3 41
 
7.6%
8 34
 
6.3%
4 22
 
4.1%
6 15
 
2.8%
9 14
 
2.6%
5 14
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 94
56.6%
: 44
26.5%
" 12
 
7.2%
/ 7
 
4.2%
' 3
 
1.8%
* 3
 
1.8%
※ 1
 
0.6%
? 1
 
0.6%
# 1
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
I 6
42.9%
X 2
 
14.3%
M 2
 
14.3%
D 1
 
7.1%
N 1
 
7.1%
A 1
 
7.1%
E 1
 
7.1%
Math Symbol
ValueCountFrequency (%)
> 9
34.6%
~ 8
30.8%
× 7
26.9%
→ 1
 
3.8%
= 1
 
3.8%
Close Punctuation
ValueCountFrequency (%)
) 82
96.5%
] 3
 
3.5%
Open Punctuation
ValueCountFrequency (%)
( 68
95.8%
[ 3
 
4.2%
Space Separator
ValueCountFrequency (%)
2776
100.0%
Control
ValueCountFrequency (%)
32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11514
75.5%
Common 3717
 
24.4%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 734
 
6.4%
정 686
 
6.0%
오 565
 
4.9%
입 392
 
3.4%
학 382
 
3.3%
류 380
 
3.3%
력 351
 
3.0%
강 285
 
2.5%
의 217
 
1.9%
전 195
 
1.7%
Other values (322) 7327
63.6%
Common
ValueCountFrequency (%)
2776
74.7%
1 171
 
4.6%
2 115
 
3.1%
. 94
 
2.5%
) 82
 
2.2%
( 68
 
1.8%
0 64
 
1.7%
7 48
 
1.3%
: 44
 
1.2%
3 41
 
1.1%
Other values (21) 214
 
5.8%
Latin
ValueCountFrequency (%)
I 6
40.0%
X 2
 
13.3%
M 2
 
13.3%
x 1
 
6.7%
D 1
 
6.7%
N 1
 
6.7%
A 1
 
6.7%
E 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11508
75.5%
ASCII 3723
 
24.4%
None 7
 
< 0.1%
Compat Jamo 6
 
< 0.1%
Arrows 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2776
74.6%
1 171
 
4.6%
2 115
 
3.1%
. 94
 
2.5%
) 82
 
2.2%
( 68
 
1.8%
0 64
 
1.7%
7 48
 
1.3%
: 44
 
1.2%
3 41
 
1.1%
Other values (26) 220
 
5.9%
Hangul
ValueCountFrequency (%)
수 734
 
6.4%
정 686
 
6.0%
오 565
 
4.9%
입 392
 
3.4%
학 382
 
3.3%
류 380
 
3.3%
력 351
 
3.1%
강 285
 
2.5%
의 217
 
1.9%
전 195
 
1.7%
Other values (318) 7321
63.6%
None
ValueCountFrequency (%)
× 7
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄹ 2
33.3%
ㄴ 2
33.3%
ㅇ 1
16.7%
ㅍ 1
16.7%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

공시수정신청일시
Date

Distinct1017
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Minimum2016-09-27 09:53:00
Maximum2021-06-29 11:22:00
2024-04-19T15:55:18.798999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:18.926182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

생성일시
Date

Distinct1017
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Minimum2016-09-27 09:53:00
Maximum2021-06-29 11:22:00
2024-04-19T15:55:19.056913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:19.467729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일시
Date

Distinct1008
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Minimum2016-09-27 09:53:00
Maximum2021-06-29 11:22:00
2024-04-19T15:55:19.602241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:19.740743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-04-19T15:55:16.072066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:14.267075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:14.740869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:15.142632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:15.616497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:16.158943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:14.360006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:14.821826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:15.224117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:15.717952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:16.237900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:14.448881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:14.896312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:15.308969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:15.806641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:16.325708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:14.541915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:14.974907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:15.400552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:15.900726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:16.425155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:14.651928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:15.060558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:15.514908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T15:55:15.985554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-19T15:55:19.866383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시년도공시시기입력순번공시입력시작일자공시입력종료일자
공시년도1.0000.3400.9521.0001.000
공시시기0.3401.0000.6970.7050.836
입력순번0.9520.6971.0000.9470.941
공시입력시작일자1.0000.7050.9471.0000.996
공시입력종료일자1.0000.8360.9410.9961.000
2024-04-19T15:55:19.974551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시년도공시시기입력순번공시입력시작일자공시입력종료일자
공시년도1.000-0.5850.9230.9580.958
공시시기-0.5851.000-0.332-0.359-0.361
입력순번0.923-0.3321.0000.9610.960
공시입력시작일자0.958-0.3590.9611.0000.998
공시입력종료일자0.958-0.3610.9600.9981.000

Missing values

2024-04-19T15:55:16.543833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T15:55:16.690040image/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

공시년도공시시기입력순번공시입력시작일자공시입력시작시간공시입력종료일자공시입력종료시간공시수정사유공시수정신청일시생성일시수정일시
02016929220161122<NA>20161222<NA>수강료 총액 미입력2016/11/22 17:302016/11/22 17:302016/11/22 17:30
12016932620161213<NA>20170112<NA>일부 수정2016/12/13 14:302016/12/13 14:302016/12/13 14:30
22016936420161021<NA>20161120<NA>전체 수정2016/10/21 9:592016/10/21 9:592016/10/21 9:59
32016936520161021<NA>20161120<NA>강의학점 수 수정2016/10/21 10:092016/10/21 10:092016/10/21 10:09
42016936620161021<NA>20161120<NA>전체 수정2016/10/21 10:342016/10/21 10:342016/10/21 10:34
52016936720161021<NA>20161120<NA>전체 수정2016/10/21 10:372016/10/21 10:372016/10/21 10:37
62016936820161021<NA>20161120<NA>전체 수정2016/10/21 10:382016/10/21 10:382016/10/21 10:38
72016936920161021<NA>20161120<NA>전체 수정2016/10/21 10:412016/10/21 10:412016/10/21 10:41
82016937020161021<NA>20161120<NA>전체 수정2016/10/21 10:432016/10/21 10:432016/10/21 10:43
92016937120161021<NA>20161120<NA>천원단위로 입력함2016/10/21 11:082016/10/21 11:082016/10/21 11:08
공시년도공시시기입력순번공시입력시작일자공시입력시작시간공시입력종료일자공시입력종료시간공시수정사유공시수정신청일시생성일시수정일시
107420213138720210302<NA>20210325<NA>담당강의학점 수정2021/03/26 9:242021/03/26 9:242021/03/26 9:24
107520213139820210302<NA>20210325<NA>엑셀 업로드를 잘못해서 파일이 잘못 올라갔습니다. 수정하려고 합니다.2021/03/29 14:462021/03/29 14:462021/03/29 14:46
107620213138920210302<NA>20210325<NA>강의학점 산출 오류로 인해 수정함.2021/03/26 10:252021/03/26 10:252021/03/26 10:25
107720213139120210302<NA>20210325<NA>비전임교원 강의담당학점 오입력2021/03/26 16:542021/03/26 16:542021/03/26 16:54
107820213139220210302<NA>20210325<NA>비전임교원 강의담당학점 오입력2021/03/26 16:542021/03/26 16:542021/03/26 16:54
107920213139920210302<NA>20210325<NA>비전임 교강사 동명이인 및 앞에 가. 에서 데이터 오류로 인해 다시 입력합니다.2021/03/29 14:492021/03/29 14:492021/03/29 14:49
108020213139320210302<NA>20210325<NA>지급인원수 오입력2021/03/26 16:552021/03/26 16:552021/03/26 16:55
108120213139420210302<NA>20210325<NA>지급인원수 오입력2021/03/26 16:552021/03/26 16:552021/03/26 16:55
108220213139720210302<NA>20210325<NA>엑셀 업로드를 잘못해서 파일이 잘못 올라갔습니다. 수정하려고 합니다.2021/03/29 14:462021/03/29 14:462021/03/29 14:46
108320216140220210601<NA>20210624<NA>기존 입력값 일부 변경2021/06/29 11:222021/06/29 11:222021/06/29 11:22