Overview

Dataset statistics

Number of variables9
Number of observations501
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.4 KiB
Average record size in memory72.3 B

Variable types

Text4
Boolean1
DateTime2
Categorical2

Dataset

Description홈페이지 관련 테이블, 우편번호, 게시판 그룹, 회원그룹, 행정코드, 게시판 구조 등의 정보입니다.
Author국가평생교육진흥원
URLhttps://www.data.go.kr/data/15072240/fileData.do

Alerts

최초등록자ID has constant value ""Constant
최종수정자ID has constant value ""Constant
사용여부 is highly imbalanced (97.9%)Imbalance

Reproduction

Analysis started2023-12-12 13:14:25.828505
Analysis finished2023-12-12 13:14:26.580679
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

코드ID(FK)
Text

Distinct82
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-12T22:14:26.826999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters3006
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st rowCOM069
2nd rowCOM069
3rd rowCOM069
4th rowCOM069
5th rowCOM069
ValueCountFrequency (%)
com062 39
 
7.8%
com011 33
 
6.6%
com080 20
 
4.0%
com084 17
 
3.4%
com086 17
 
3.4%
com079 17
 
3.4%
com073 16
 
3.2%
com027 15
 
3.0%
com006 14
 
2.8%
com022 13
 
2.6%
Other values (72) 300
59.9%
2023-12-12T22:14:27.251107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 600
20.0%
C 501
16.7%
O 501
16.7%
M 501
16.7%
6 140
 
4.7%
2 131
 
4.4%
1 131
 
4.4%
7 106
 
3.5%
8 95
 
3.2%
4 89
 
3.0%
Other values (3) 211
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1503
50.0%
Uppercase Letter 1503
50.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 600
39.9%
6 140
 
9.3%
2 131
 
8.7%
1 131
 
8.7%
7 106
 
7.1%
8 95
 
6.3%
4 89
 
5.9%
3 88
 
5.9%
5 72
 
4.8%
9 51
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
C 501
33.3%
O 501
33.3%
M 501
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 1503
50.0%
Latin 1503
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 600
39.9%
6 140
 
9.3%
2 131
 
8.7%
1 131
 
8.7%
7 106
 
7.1%
8 95
 
6.3%
4 89
 
5.9%
3 88
 
5.9%
5 72
 
4.8%
9 51
 
3.4%
Latin
ValueCountFrequency (%)
C 501
33.3%
O 501
33.3%
M 501
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3006
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 600
20.0%
C 501
16.7%
O 501
16.7%
M 501
16.7%
6 140
 
4.7%
2 131
 
4.4%
1 131
 
4.4%
7 106
 
3.5%
8 95
 
3.2%
4 89
 
3.0%
Other values (3) 211
 
7.0%

코드
Text

Distinct215
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-12T22:14:27.624479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length1
Mean length2.4590818
Min length1

Characters and Unicode

Total characters1232
Distinct characters49
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique183 ?
Unique (%)36.5%

Sample

1st row2
2nd row3
3rd row4
4th row5
5th row6
ValueCountFrequency (%)
1 52
 
10.4%
2 51
 
10.2%
3 41
 
8.2%
4 30
 
6.0%
5 22
 
4.4%
6 11
 
2.2%
99 11
 
2.2%
7 9
 
1.8%
12 6
 
1.2%
13 6
 
1.2%
Other values (205) 262
52.3%
2023-12-12T22:14:28.160384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 228
18.5%
1 158
12.8%
2 93
 
7.5%
3 82
 
6.7%
4 74
 
6.0%
R 58
 
4.7%
5 51
 
4.1%
C 49
 
4.0%
9 35
 
2.8%
O 34
 
2.8%
Other values (39) 370
30.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 781
63.4%
Uppercase Letter 409
33.2%
Lowercase Letter 20
 
1.6%
Space Separator 13
 
1.1%
Other Punctuation 6
 
0.5%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 58
14.2%
C 49
12.0%
O 34
 
8.3%
L 34
 
8.3%
P 32
 
7.8%
S 28
 
6.8%
B 25
 
6.1%
A 21
 
5.1%
F 18
 
4.4%
U 17
 
4.2%
Other values (13) 93
22.7%
Lowercase Letter
ValueCountFrequency (%)
m 3
15.0%
t 3
15.0%
u 2
10.0%
o 2
10.0%
d 2
10.0%
l 1
 
5.0%
r 1
 
5.0%
h 1
 
5.0%
p 1
 
5.0%
i 1
 
5.0%
Other values (3) 3
15.0%
Decimal Number
ValueCountFrequency (%)
0 228
29.2%
1 158
20.2%
2 93
11.9%
3 82
 
10.5%
4 74
 
9.5%
5 51
 
6.5%
9 35
 
4.5%
6 27
 
3.5%
7 21
 
2.7%
8 12
 
1.5%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
% 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 803
65.2%
Latin 429
34.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
R 58
13.5%
C 49
11.4%
O 34
 
7.9%
L 34
 
7.9%
P 32
 
7.5%
S 28
 
6.5%
B 25
 
5.8%
A 21
 
4.9%
F 18
 
4.2%
U 17
 
4.0%
Other values (26) 113
26.3%
Common
ValueCountFrequency (%)
0 228
28.4%
1 158
19.7%
2 93
11.6%
3 82
 
10.2%
4 74
 
9.2%
5 51
 
6.4%
9 35
 
4.4%
6 27
 
3.4%
7 21
 
2.6%
13
 
1.6%
Other values (3) 21
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 228
18.5%
1 158
12.8%
2 93
 
7.5%
3 82
 
6.7%
4 74
 
6.0%
R 58
 
4.7%
5 51
 
4.1%
C 49
 
4.0%
9 35
 
2.8%
O 34
 
2.8%
Other values (39) 370
30.0%

코드명
Text

Distinct421
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-12T22:14:28.561680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length5.8642715
Min length1

Characters and Unicode

Total characters2938
Distinct characters344
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique375 ?
Unique (%)74.9%

Sample

1st row기념
2nd row결혼
3rd row탄생
4th row축하
5th row출장
ValueCountFrequency (%)
롤 34
 
4.6%
기타 17
 
2.3%
관련 11
 
1.5%
게시판 11
 
1.5%
관리 10
 
1.3%
커뮤니티 10
 
1.3%
어플리케이션 8
 
1.1%
시스템 8
 
1.1%
사용자 8
 
1.1%
최상위 7
 
0.9%
Other values (452) 619
83.3%
2023-12-12T22:14:29.087289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
281
 
9.6%
e 83
 
2.8%
t 57
 
1.9%
o 51
 
1.7%
기 46
 
1.6%
관 39
 
1.3%
i 39
 
1.3%
n 38
 
1.3%
자 37
 
1.3%
시 34
 
1.2%
Other values (334) 2233
76.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1962
66.8%
Lowercase Letter 512
 
17.4%
Space Separator 281
 
9.6%
Uppercase Letter 140
 
4.8%
Other Punctuation 24
 
0.8%
Decimal Number 8
 
0.3%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 46
 
2.3%
관 39
 
2.0%
자 37
 
1.9%
시 34
 
1.7%
롤 34
 
1.7%
회 30
 
1.5%
리 29
 
1.5%
이 29
 
1.5%
사 29
 
1.5%
등 29
 
1.5%
Other values (275) 1626
82.9%
Lowercase Letter
ValueCountFrequency (%)
e 83
16.2%
t 57
11.1%
o 51
10.0%
i 39
 
7.6%
n 38
 
7.4%
a 34
 
6.6%
r 31
 
6.1%
d 27
 
5.3%
l 22
 
4.3%
u 19
 
3.7%
Other values (14) 111
21.7%
Uppercase Letter
ValueCountFrequency (%)
N 13
 
9.3%
T 13
 
9.3%
R 13
 
9.3%
P 12
 
8.6%
S 11
 
7.9%
C 10
 
7.1%
M 8
 
5.7%
U 8
 
5.7%
A 7
 
5.0%
I 7
 
5.0%
Other values (13) 38
27.1%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
2 2
25.0%
3 1
 
12.5%
5 1
 
12.5%
4 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
? 13
54.2%
/ 8
33.3%
, 3
 
12.5%
Space Separator
ValueCountFrequency (%)
281
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1962
66.8%
Latin 652
 
22.2%
Common 324
 
11.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 46
 
2.3%
관 39
 
2.0%
자 37
 
1.9%
시 34
 
1.7%
롤 34
 
1.7%
회 30
 
1.5%
리 29
 
1.5%
이 29
 
1.5%
사 29
 
1.5%
등 29
 
1.5%
Other values (275) 1626
82.9%
Latin
ValueCountFrequency (%)
e 83
 
12.7%
t 57
 
8.7%
o 51
 
7.8%
i 39
 
6.0%
n 38
 
5.8%
a 34
 
5.2%
r 31
 
4.8%
d 27
 
4.1%
l 22
 
3.4%
u 19
 
2.9%
Other values (37) 251
38.5%
Common
ValueCountFrequency (%)
281
86.7%
? 13
 
4.0%
/ 8
 
2.5%
) 5
 
1.5%
( 5
 
1.5%
, 3
 
0.9%
1 3
 
0.9%
2 2
 
0.6%
- 1
 
0.3%
3 1
 
0.3%
Other values (2) 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1962
66.8%
ASCII 976
33.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
281
28.8%
e 83
 
8.5%
t 57
 
5.8%
o 51
 
5.2%
i 39
 
4.0%
n 38
 
3.9%
a 34
 
3.5%
r 31
 
3.2%
d 27
 
2.8%
l 22
 
2.3%
Other values (49) 313
32.1%
Hangul
ValueCountFrequency (%)
기 46
 
2.3%
관 39
 
2.0%
자 37
 
1.9%
시 34
 
1.7%
롤 34
 
1.7%
회 30
 
1.5%
리 29
 
1.5%
이 29
 
1.5%
사 29
 
1.5%
등 29
 
1.5%
Other values (275) 1626
82.9%

코드설명
Text

Distinct454
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-12T22:14:29.465662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length6.5768463
Min length2

Characters and Unicode

Total characters3295
Distinct characters349
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique424 ?
Unique (%)84.6%

Sample

1st row기념
2nd row결혼
3rd row탄생
4th row축하
5th row출장
ValueCountFrequency (%)
롤 34
 
4.6%
기타 17
 
2.3%
관련 11
 
1.5%
게시판 11
 
1.5%
커뮤니티 10
 
1.3%
관리 10
 
1.3%
사용자 8
 
1.1%
시스템 8
 
1.1%
어플리케이션 8
 
1.1%
최상위 7
 
0.9%
Other values (485) 619
83.3%
2023-12-12T22:14:29.933552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
281
 
8.5%
0 156
 
4.7%
e 83
 
2.5%
t 57
 
1.7%
o 51
 
1.5%
기 45
 
1.4%
S 45
 
1.4%
관 39
 
1.2%
i 39
 
1.2%
n 38
 
1.2%
Other values (339) 2461
74.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1929
58.5%
Lowercase Letter 512
 
15.5%
Space Separator 281
 
8.5%
Uppercase Letter 258
 
7.8%
Decimal Number 246
 
7.5%
Connector Punctuation 34
 
1.0%
Other Punctuation 24
 
0.7%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 45
 
2.3%
관 39
 
2.0%
자 37
 
1.9%
시 34
 
1.8%
롤 34
 
1.8%
회 30
 
1.6%
리 29
 
1.5%
등 29
 
1.5%
사 29
 
1.5%
이 29
 
1.5%
Other values (274) 1594
82.6%
Lowercase Letter
ValueCountFrequency (%)
e 83
16.2%
t 57
11.1%
o 51
10.0%
i 39
 
7.6%
n 38
 
7.4%
a 34
 
6.6%
r 31
 
6.1%
d 27
 
5.3%
l 22
 
4.3%
u 19
 
3.7%
Other values (14) 111
21.7%
Uppercase Letter
ValueCountFrequency (%)
S 45
17.4%
B 37
14.3%
T 30
11.6%
R 30
11.6%
M 25
9.7%
N 12
 
4.7%
P 12
 
4.7%
C 10
 
3.9%
U 8
 
3.1%
A 7
 
2.7%
Other values (13) 42
16.3%
Decimal Number
ValueCountFrequency (%)
0 156
63.4%
1 34
 
13.8%
2 13
 
5.3%
8 11
 
4.5%
9 10
 
4.1%
3 5
 
2.0%
4 5
 
2.0%
5 5
 
2.0%
6 4
 
1.6%
7 3
 
1.2%
Other Punctuation
ValueCountFrequency (%)
? 13
54.2%
/ 8
33.3%
, 3
 
12.5%
Space Separator
ValueCountFrequency (%)
281
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1929
58.5%
Latin 770
 
23.4%
Common 596
 
18.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 45
 
2.3%
관 39
 
2.0%
자 37
 
1.9%
시 34
 
1.8%
롤 34
 
1.8%
회 30
 
1.6%
리 29
 
1.5%
등 29
 
1.5%
사 29
 
1.5%
이 29
 
1.5%
Other values (274) 1594
82.6%
Latin
ValueCountFrequency (%)
e 83
 
10.8%
t 57
 
7.4%
o 51
 
6.6%
S 45
 
5.8%
i 39
 
5.1%
n 38
 
4.9%
B 37
 
4.8%
a 34
 
4.4%
r 31
 
4.0%
T 30
 
3.9%
Other values (37) 325
42.2%
Common
ValueCountFrequency (%)
281
47.1%
0 156
26.2%
_ 34
 
5.7%
1 34
 
5.7%
? 13
 
2.2%
2 13
 
2.2%
8 11
 
1.8%
9 10
 
1.7%
/ 8
 
1.3%
3 5
 
0.8%
Other values (8) 31
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1929
58.5%
ASCII 1366
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
281
20.6%
0 156
 
11.4%
e 83
 
6.1%
t 57
 
4.2%
o 51
 
3.7%
S 45
 
3.3%
i 39
 
2.9%
n 38
 
2.8%
B 37
 
2.7%
_ 34
 
2.5%
Other values (55) 545
39.9%
Hangul
ValueCountFrequency (%)
기 45
 
2.3%
관 39
 
2.0%
자 37
 
1.9%
시 34
 
1.8%
롤 34
 
1.8%
회 30
 
1.6%
리 29
 
1.5%
등 29
 
1.5%
사 29
 
1.5%
이 29
 
1.5%
Other values (274) 1594
82.6%

사용여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size633.0 B
True
500 
False
 
1
ValueCountFrequency (%)
True 500
99.8%
False 1
 
0.2%
2023-12-12T22:14:30.073193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

최초등록시점
Date

Distinct9
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2015-06-03 10:10:00
Maximum2020-08-13 10:54:00
2023-12-12T22:14:30.160053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:14:30.263783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

최초등록자ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
SYSTEM
501 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
SYSTEM 501
100.0%

Length

2023-12-12T22:14:30.389154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:14:30.475386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
system 501
100.0%

최종수정시점
Date

Distinct9
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2015-06-03 10:10:00
Maximum2020-08-13 10:54:00
2023-12-12T22:14:30.547567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:14:30.660381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

최종수정자ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
SYSTEM
501 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
SYSTEM 501
100.0%

Length

2023-12-12T22:14:30.801778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:14:30.912171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
system 501
100.0%

Correlations

2023-12-12T22:14:30.983362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
코드ID(FK)사용여부최초등록시점최종수정시점
코드ID(FK)1.0000.0000.9800.980
사용여부0.0001.0000.0000.000
최초등록시점0.9800.0001.0001.000
최종수정시점0.9800.0001.0001.000

Missing values

2023-12-12T22:14:26.358093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:14:26.503685image/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

코드ID(FK)코드코드명코드설명사용여부최초등록시점최초등록자ID최종수정시점최종수정자ID
0COM0692기념기념N2015-06-03 10:10SYSTEM2015-06-03 10:10SYSTEM
1COM0693결혼결혼Y2015-06-03 10:10SYSTEM2015-06-03 10:10SYSTEM
2COM0694탄생탄생Y2015-06-03 10:10SYSTEM2015-06-03 10:10SYSTEM
3COM0695축하축하Y2015-06-03 10:10SYSTEM2015-06-03 10:10SYSTEM
4COM0696출장출장Y2015-06-03 10:10SYSTEM2015-06-03 10:10SYSTEM
5COM06999기타기타Y2015-06-03 10:10SYSTEM2015-06-03 10:10SYSTEM
6COM0701본관1층본관1층Y2015-06-03 10:10SYSTEM2015-06-03 10:10SYSTEM
7COM0702본관2층본관2층Y2015-06-03 10:10SYSTEM2015-06-03 10:10SYSTEM
8COM0703본관3층본관3층Y2015-06-03 10:10SYSTEM2015-06-03 10:10SYSTEM
9COM0704본관4층본관4층Y2015-06-03 10:10SYSTEM2015-06-03 10:10SYSTEM
코드ID(FK)코드코드명코드설명사용여부최초등록시점최초등록자ID최종수정시점최종수정자ID
491COM08412충남충남Y2019-08-28 10:56SYSTEM2019-08-28 10:56SYSTEM
492COM08413경북경북Y2019-08-28 10:56SYSTEM2019-08-28 10:56SYSTEM
493COM08414경남경남Y2019-08-28 10:56SYSTEM2019-08-28 10:56SYSTEM
494COM08415전북전북Y2019-08-28 10:56SYSTEM2019-08-28 10:56SYSTEM
495COM08416전남전남Y2019-08-28 10:56SYSTEM2019-08-28 10:56SYSTEM
496COM08417제주제주Y2019-08-28 10:56SYSTEM2019-08-28 10:56SYSTEM
497COM089D03고등학교고등학교Y2020-07-01 11:14SYSTEM2020-07-01 11:14SYSTEM
498COM089D04특수/각종/기타특수/각종/기타Y2020-07-01 11:14SYSTEM2020-07-01 11:14SYSTEM
499COM089D05유치원유치원Y2020-08-13 10:54SYSTEM2020-08-13 10:54SYSTEM
500COM089D06어린이집어린이집Y2020-08-13 10:54SYSTEM2020-08-13 10:54SYSTEM