Overview

Dataset statistics

Number of variables7
Number of observations528
Missing cells192
Missing cells (%)5.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.0 KiB
Average record size in memory56.2 B

Variable types

Categorical4
Text3

Dataset

Description서울특별시 용산구 행정정보공표 현황(분야, 공표대상업무, 공표주기, 공표시기, 공표형태, 공표링크, 담당부서 )에 대한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15071298/fileData.do

Alerts

분야 is highly overall correlated with 담당부서High correlation
공표형태 is highly overall correlated with 담당부서High correlation
담당부서 is highly overall correlated with 분야 and 1 other fieldsHigh correlation
공표링크 has 192 (36.4%) missing valuesMissing
공표대상업무 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:29:55.270833
Analysis finished2023-12-12 16:29:56.179492
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분야
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
일반공공행정
140 
보건
88 
사회복지
79 
환경보호
52 
지역개발
43 
Other values (7)
126 

Length

Max length7
Median length6
Mean length4.5189394
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반공공행정
2nd row일반공공행정
3rd row보건
4th row보건
5th row보건

Common Values

ValueCountFrequency (%)
일반공공행정 140
26.5%
보건 88
16.7%
사회복지 79
15.0%
환경보호 52
 
9.8%
지역개발 43
 
8.1%
수송및교통 33
 
6.2%
산업중소기업 28
 
5.3%
문화체육관광 26
 
4.9%
공공질서및안전 15
 
2.8%
교육 8
 
1.5%
Other values (2) 16
 
3.0%

Length

2023-12-13T01:29:56.237653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반공공행정 140
26.5%
보건 88
16.7%
사회복지 79
15.0%
환경보호 52
 
9.8%
지역개발 43
 
8.1%
수송및교통 33
 
6.2%
산업중소기업 28
 
5.3%
문화체육관광 26
 
4.9%
공공질서및안전 15
 
2.8%
교육 8
 
1.5%
Other values (2) 16
 
3.0%

공표대상업무
Text

UNIQUE 

Distinct528
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-13T01:29:56.485934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length11.568182
Min length3

Characters and Unicode

Total characters6108
Distinct characters359
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique528 ?
Unique (%)100.0%

Sample

1st row청렴도조사결과
2nd row감사결과
3rd row산후조리원 현황
4th row소독업소 현황
5th rowx선 검사 안내
ValueCountFrequency (%)
현황 178
 
12.4%
안내 59
 
4.1%
및 48
 
3.3%
결과 27
 
1.9%
지도점검 20
 
1.4%
운영 15
 
1.0%
자동차 12
 
0.8%
지원 9
 
0.6%
운영현황 8
 
0.6%
용산구 7
 
0.5%
Other values (834) 1051
73.3%
2023-12-13T01:29:56.920537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
906
 
14.8%
현 237
 
3.9%
황 233
 
3.8%
지 135
 
2.2%
업 130
 
2.1%
사 118
 
1.9%
내 88
 
1.4%
안 87
 
1.4%
원 72
 
1.2%
공 69
 
1.1%
Other values (349) 4033
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5044
82.6%
Space Separator 906
 
14.8%
Other Punctuation 47
 
0.8%
Decimal Number 31
 
0.5%
Open Punctuation 29
 
0.5%
Close Punctuation 28
 
0.5%
Uppercase Letter 20
 
0.3%
Other Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
현 237
 
4.7%
황 233
 
4.6%
지 135
 
2.7%
업 130
 
2.6%
사 118
 
2.3%
내 88
 
1.7%
안 87
 
1.7%
원 72
 
1.4%
공 69
 
1.4%
수 68
 
1.3%
Other values (328) 3807
75.5%
Uppercase Letter
ValueCountFrequency (%)
C 8
40.0%
V 4
20.0%
T 4
20.0%
B 1
 
5.0%
D 1
 
5.0%
E 1
 
5.0%
A 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
0 12
38.7%
1 10
32.3%
2 4
 
12.9%
5 3
 
9.7%
3 2
 
6.5%
Other Punctuation
ValueCountFrequency (%)
, 42
89.4%
· 3
 
6.4%
. 1
 
2.1%
/ 1
 
2.1%
Space Separator
ValueCountFrequency (%)
906
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5044
82.6%
Common 1043
 
17.1%
Latin 21
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
현 237
 
4.7%
황 233
 
4.6%
지 135
 
2.7%
업 130
 
2.6%
사 118
 
2.3%
내 88
 
1.7%
안 87
 
1.7%
원 72
 
1.4%
공 69
 
1.4%
수 68
 
1.3%
Other values (328) 3807
75.5%
Common
ValueCountFrequency (%)
906
86.9%
, 42
 
4.0%
( 29
 
2.8%
) 28
 
2.7%
0 12
 
1.2%
1 10
 
1.0%
2 4
 
0.4%
5 3
 
0.3%
· 3
 
0.3%
㎡ 2
 
0.2%
Other values (3) 4
 
0.4%
Latin
ValueCountFrequency (%)
C 8
38.1%
V 4
19.0%
T 4
19.0%
x 1
 
4.8%
B 1
 
4.8%
D 1
 
4.8%
E 1
 
4.8%
A 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5044
82.6%
ASCII 1059
 
17.3%
None 3
 
< 0.1%
CJK Compat 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
906
85.6%
, 42
 
4.0%
( 29
 
2.7%
) 28
 
2.6%
0 12
 
1.1%
1 10
 
0.9%
C 8
 
0.8%
2 4
 
0.4%
V 4
 
0.4%
T 4
 
0.4%
Other values (9) 12
 
1.1%
Hangul
ValueCountFrequency (%)
현 237
 
4.7%
황 233
 
4.6%
지 135
 
2.7%
업 130
 
2.6%
사 118
 
2.3%
내 88
 
1.7%
안 87
 
1.7%
원 72
 
1.4%
공 69
 
1.4%
수 68
 
1.3%
Other values (328) 3807
75.5%
None
ValueCountFrequency (%)
· 3
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%

공표주기
Categorical

Distinct8
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
수시
283 
매년
187 
반기
 
21
분기
 
21
매월
 
11
Other values (3)
 
5

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row매년
2nd row수시
3rd row수시
4th row수시
5th row수시

Common Values

ValueCountFrequency (%)
수시 283
53.6%
매년 187
35.4%
반기 21
 
4.0%
분기 21
 
4.0%
매월 11
 
2.1%
격년 2
 
0.4%
매일 2
 
0.4%
매주 1
 
0.2%

Length

2023-12-13T01:29:57.070764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:29:57.187023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수시 283
53.6%
매년 187
35.4%
반기 21
 
4.0%
분기 21
 
4.0%
매월 11
 
2.1%
격년 2
 
0.4%
매일 2
 
0.4%
매주 1
 
0.2%

공표시기
Text

Distinct78
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-13T01:29:57.448912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length3
Mean length4.2689394
Min length2

Characters and Unicode

Total characters2254
Distinct characters96
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)9.3%

Sample

1st row12월
2nd row변경시
3rd row변경시
4th row변경시
5th row변경시
ValueCountFrequency (%)
변경시 225
29.5%
1월 102
13.4%
후 41
 
5.4%
이내 41
 
5.4%
7월 30
 
3.9%
4월 28
 
3.7%
자료발생 28
 
3.7%
12월 27
 
3.5%
3월 20
 
2.6%
10월 19
 
2.5%
Other values (81) 201
26.4%
2023-12-13T01:29:57.863022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 275
12.2%
월 273
12.1%
변 238
 
10.6%
234
 
10.4%
경 232
 
10.3%
1 195
 
8.7%
, 74
 
3.3%
후 47
 
2.1%
이 46
 
2.0%
내 42
 
1.9%
Other values (86) 598
26.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1562
69.3%
Decimal Number 377
 
16.7%
Space Separator 234
 
10.4%
Other Punctuation 74
 
3.3%
Math Symbol 3
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 275
17.6%
월 273
17.5%
변 238
15.2%
경 232
14.9%
후 47
 
3.0%
이 46
 
2.9%
내 42
 
2.7%
발 39
 
2.5%
료 35
 
2.2%
생 34
 
2.2%
Other values (71) 301
19.3%
Decimal Number
ValueCountFrequency (%)
1 195
51.7%
0 42
 
11.1%
2 41
 
10.9%
4 34
 
9.0%
7 32
 
8.5%
3 22
 
5.8%
5 5
 
1.3%
6 3
 
0.8%
9 2
 
0.5%
8 1
 
0.3%
Space Separator
ValueCountFrequency (%)
234
100.0%
Other Punctuation
ValueCountFrequency (%)
, 74
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1562
69.3%
Common 692
30.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 275
17.6%
월 273
17.5%
변 238
15.2%
경 232
14.9%
후 47
 
3.0%
이 46
 
2.9%
내 42
 
2.7%
발 39
 
2.5%
료 35
 
2.2%
생 34
 
2.2%
Other values (71) 301
19.3%
Common
ValueCountFrequency (%)
234
33.8%
1 195
28.2%
, 74
 
10.7%
0 42
 
6.1%
2 41
 
5.9%
4 34
 
4.9%
7 32
 
4.6%
3 22
 
3.2%
5 5
 
0.7%
6 3
 
0.4%
Other values (5) 10
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1562
69.3%
ASCII 692
30.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 275
17.6%
월 273
17.5%
변 238
15.2%
경 232
14.9%
후 47
 
3.0%
이 46
 
2.9%
내 42
 
2.7%
발 39
 
2.5%
료 35
 
2.2%
생 34
 
2.2%
Other values (71) 301
19.3%
ASCII
ValueCountFrequency (%)
234
33.8%
1 195
28.2%
, 74
 
10.7%
0 42
 
6.1%
2 41
 
5.9%
4 34
 
4.9%
7 32
 
4.6%
3 22
 
3.2%
5 5
 
0.7%
6 3
 
0.4%
Other values (5) 10
 
1.4%

공표형태
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
링크
322 
첨부파일
206 

Length

Max length4
Median length2
Mean length2.780303
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row링크
2nd row링크
3rd row링크
4th row첨부파일
5th row링크

Common Values

ValueCountFrequency (%)
링크 322
61.0%
첨부파일 206
39.0%

Length

2023-12-13T01:29:58.005110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:29:58.113374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
링크 322
61.0%
첨부파일 206
39.0%

공표링크
Text

MISSING 

Distinct300
Distinct (%)89.3%
Missing192
Missing (%)36.4%
Memory size4.3 KiB
2023-12-13T01:29:58.345707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length292
Median length224
Mean length73.285714
Min length22

Characters and Unicode

Total characters24624
Distinct characters146
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

Unique277 ?
Unique (%)82.4%

Sample

1st rowhttps://www.yongsan.go.kr/portal/bbs/B0000041/view.do?nttId=658899&menuNo=200228&sdate=&edate=&deptId=&searchCnd=3&searchWrd=%EC%B2%AD%EB%A0%B4%EB%8F%84&pageIndex=1
2nd rowhttps://www.yongsan.go.kr/portal/bbs/B0000170/list.do?deptId=3020061&menuNo=200848
3rd rowhttps://www.seoul.go.kr/news/news_notice.do#view/380971?tr_code=snews
4th rowhttps://www.yongsan.go.kr/health/main/contents.do?menuNo=300038
5th rowhttps://www.yongsan.go.kr/health/main/contents.do?menuNo=300060
ValueCountFrequency (%)
https://www.yongsan.go.kr/portal/bbs/b0000039/list.do?menuno=200173 5
 
1.5%
https://www.yongsan.go.kr/portal/bbs/b0000181/list.do?menuno=200925 4
 
1.2%
https://www.yongsan.go.kr/portal/bbs/b0000035/list.do?menuno=200921 4
 
1.2%
https://www.yongsan.go.kr/health/main/contents.do?menuno=300048 4
 
1.2%
https://www.yscl.go.kr/promote/minutes/late.do 3
 
0.9%
https://www.yongsan.go.kr/health/main/contents.do?menuno=300037 3
 
0.9%
https://www.yscl.go.kr/kr/notifybbs.do 3
 
0.9%
https://www.yongsan.go.kr/portal/main/contents.do?menuno=200811 3
 
0.9%
https://www.elis.go.kr/locgovalr/locgovclalrlist?ctpvsggcd=11170 2
 
0.6%
https://www.yongsan.go.kr/portal/main/contents.do?menuno=200680 2
 
0.6%
Other values (291) 304
90.2%
2023-12-13T01:29:58.816689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1750
 
7.1%
o 1664
 
6.8%
t 1613
 
6.6%
n 1462
 
5.9%
. 1296
 
5.3%
0 1279
 
5.2%
s 1256
 
5.1%
a 1114
 
4.5%
e 1020
 
4.1%
w 892
 
3.6%
Other values (136) 11278
45.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 16111
65.4%
Other Punctuation 4140
 
16.8%
Decimal Number 2895
 
11.8%
Uppercase Letter 801
 
3.3%
Math Symbol 493
 
2.0%
Other Letter 138
 
0.6%
Connector Punctuation 31
 
0.1%
Dash Punctuation 14
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 7
 
5.1%
공 6
 
4.3%
회 6
 
4.3%
기 6
 
4.3%
업 5
 
3.6%
지 5
 
3.6%
복 3
 
2.2%
정 3
 
2.2%
이 3
 
2.2%
증 3
 
2.2%
Other values (65) 91
65.9%
Lowercase Letter
ValueCountFrequency (%)
o 1664
 
10.3%
t 1613
 
10.0%
n 1462
 
9.1%
s 1256
 
7.8%
a 1114
 
6.9%
e 1020
 
6.3%
w 892
 
5.5%
p 847
 
5.3%
r 821
 
5.1%
m 672
 
4.2%
Other values (16) 4750
29.5%
Uppercase Letter
ValueCountFrequency (%)
N 229
28.6%
B 132
16.5%
C 85
 
10.6%
I 64
 
8.0%
S 45
 
5.6%
E 43
 
5.4%
W 42
 
5.2%
A 33
 
4.1%
D 23
 
2.9%
T 15
 
1.9%
Other values (13) 90
 
11.2%
Decimal Number
ValueCountFrequency (%)
0 1279
44.2%
2 337
 
11.6%
1 291
 
10.1%
3 252
 
8.7%
4 167
 
5.8%
8 146
 
5.0%
7 125
 
4.3%
9 113
 
3.9%
5 105
 
3.6%
6 80
 
2.8%
Other Punctuation
ValueCountFrequency (%)
/ 1750
42.3%
. 1296
31.3%
: 344
 
8.3%
? 261
 
6.3%
& 230
 
5.6%
; 184
 
4.4%
% 73
 
1.8%
# 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 493
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16912
68.7%
Common 7574
30.8%
Hangul 138
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 7
 
5.1%
공 6
 
4.3%
회 6
 
4.3%
기 6
 
4.3%
업 5
 
3.6%
지 5
 
3.6%
복 3
 
2.2%
정 3
 
2.2%
이 3
 
2.2%
증 3
 
2.2%
Other values (65) 91
65.9%
Latin
ValueCountFrequency (%)
o 1664
 
9.8%
t 1613
 
9.5%
n 1462
 
8.6%
s 1256
 
7.4%
a 1114
 
6.6%
e 1020
 
6.0%
w 892
 
5.3%
p 847
 
5.0%
r 821
 
4.9%
m 672
 
4.0%
Other values (39) 5551
32.8%
Common
ValueCountFrequency (%)
/ 1750
23.1%
. 1296
17.1%
0 1279
16.9%
= 493
 
6.5%
: 344
 
4.5%
2 337
 
4.4%
1 291
 
3.8%
? 261
 
3.4%
3 252
 
3.3%
& 230
 
3.0%
Other values (12) 1041
13.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24486
99.4%
Hangul 138
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1750
 
7.1%
o 1664
 
6.8%
t 1613
 
6.6%
n 1462
 
6.0%
. 1296
 
5.3%
0 1279
 
5.2%
s 1256
 
5.1%
a 1114
 
4.5%
e 1020
 
4.2%
w 892
 
3.6%
Other values (61) 11140
45.5%
Hangul
ValueCountFrequency (%)
사 7
 
5.1%
공 6
 
4.3%
회 6
 
4.3%
기 6
 
4.3%
업 5
 
3.6%
지 5
 
3.6%
복 3
 
2.2%
정 3
 
2.2%
이 3
 
2.2%
증 3
 
2.2%
Other values (65) 91
65.9%

담당부서
Categorical

HIGH CORRELATION 

Distinct40
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
보건위생과
41 
맑은환경과
 
34
건강관리과
 
31
부동산정보과
 
24
기획예산담당관
 
24
Other values (35)
374 

Length

Max length8
Median length5
Mean length5.1704545
Min length3

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row감사담당관
2nd row감사담당관
3rd row건강관리과
4th row건강관리과
5th row건강관리과

Common Values

ValueCountFrequency (%)
보건위생과 41
 
7.8%
맑은환경과 34
 
6.4%
건강관리과 31
 
5.9%
부동산정보과 24
 
4.5%
기획예산담당관 24
 
4.5%
교통행정과 23
 
4.4%
관광체육과 20
 
3.8%
어르신청소년과 20
 
3.8%
민원여권과 20
 
3.8%
보건의료과 19
 
3.6%
Other values (30) 272
51.5%

Length

2023-12-13T01:29:58.967019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보건위생과 41
 
7.8%
맑은환경과 34
 
6.4%
건강관리과 31
 
5.9%
부동산정보과 24
 
4.5%
기획예산담당관 24
 
4.5%
교통행정과 23
 
4.4%
관광체육과 20
 
3.8%
어르신청소년과 20
 
3.8%
민원여권과 20
 
3.8%
청소행정과 19
 
3.6%
Other values (30) 272
51.5%

Correlations

2023-12-13T01:29:59.053162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야공표주기공표시기공표형태담당부서
분야1.0000.4360.8380.5270.987
공표주기0.4361.0000.9920.5390.609
공표시기0.8380.9921.0000.5570.892
공표형태0.5270.5390.5571.0000.658
담당부서0.9870.6090.8920.6581.000
2023-12-13T01:29:59.157474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
담당부서공표형태공표주기분야
담당부서1.0000.5410.2740.858
공표형태0.5411.0000.4040.407
공표주기0.2740.4041.0000.200
분야0.8580.4070.2001.000
2023-12-13T01:29:59.247535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야공표주기공표형태담당부서
분야1.0000.2000.4070.858
공표주기0.2001.0000.4040.274
공표형태0.4070.4041.0000.541
담당부서0.8580.2740.5411.000

Missing values

2023-12-13T01:29:56.025573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:29:56.140049image/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

분야공표대상업무공표주기공표시기공표형태공표링크담당부서
0일반공공행정청렴도조사결과매년12월링크https://www.yongsan.go.kr/portal/bbs/B0000041/view.do?nttId=658899&menuNo=200228&sdate=&edate=&deptId=&searchCnd=3&searchWrd=%EC%B2%AD%EB%A0%B4%EB%8F%84&pageIndex=1감사담당관
1일반공공행정감사결과수시변경시링크https://www.yongsan.go.kr/portal/bbs/B0000170/list.do?deptId=3020061&menuNo=200848감사담당관
2보건산후조리원 현황수시변경시링크https://www.seoul.go.kr/news/news_notice.do#view/380971?tr_code=snews건강관리과
3보건소독업소 현황수시변경시첨부파일<NA>건강관리과
4보건x선 검사 안내수시변경시링크https://www.yongsan.go.kr/health/main/contents.do?menuNo=300038건강관리과
5보건선천성대사이상 환아 의료비 지원수시변경시링크https://www.yongsan.go.kr/health/main/contents.do?menuNo=300060건강관리과
6보건청소년 산모 임신 출산 의료비 지원수시변경시링크https://www.yongsan.go.kr/health/main/contents.do?menuNo=300056건강관리과
7보건아토피 천식 의료비지원수시변경시링크https://health.yongsan.go.kr/health/main/contents.do?menuNo=300055건강관리과
8보건암환자 의료비지원수시변경시링크https://www.yongsan.go.kr/health/main/contents.do?menuNo=300054건강관리과
9보건난임부부 지원사업수시변경시링크https://www.yongsan.go.kr/health/main/contents.do?menuNo=300053건강관리과
분야공표대상업무공표주기공표시기공표형태공표링크담당부서
518일반공공행정위원회 예산·결산에 대한 분석결과매년정례회 개최시링크https://www.yscl.go.kr/kr/notifyBBS.do<NA>
519일반공공행정의회 회기운영수시자료발생 후 지체없이링크https://www.yscl.go.kr/kr/scheduleBBS.do<NA>
520일반공공행정행정사무감사매년정례회 개최시링크https://www.yscl.go.kr/promote/minutes/late.do<NA>
521일반공공행정행정사무감사 결과에 대한 조치결과매년정례회 개최시링크https://www.yscl.go.kr/promote/minutes/late.do<NA>
522일반공공행정의회 회의록수시회기시링크https://www.yscl.go.kr/promote/minutes/late.do<NA>
523일반공공행정의원 국외출장 보고서 및 계획서수시출장종료후 20일 이내링크https://www.yscl.go.kr/kr/noticeBBS.do<NA>
524일반공공행정의원재산등록매년등록기간 또는 신고기간만료후 1개월 이내링크https://event.seoul.go.kr/seoulsibo/list.do<NA>
525일반공공행정의원소개수시변경시링크https://www.yscl.go.kr/kr/member/name.do<NA>
526일반공공행정행정조직(구의회)수시변경시링크https://www.yscl.go.kr/kr/officeCnts.do<NA>
527일반공공행정구의회 청사현황수시변경시링크https://www.yscl.go.kr/kr/buildingCnts.do<NA>