Overview

Dataset statistics

Number of variables10
Number of observations423
Missing cells846
Missing cells (%)20.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.0 KiB
Average record size in memory82.3 B

Variable types

Unsupported2
Categorical4
Text4

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21246/F/1/datasetView.do

Alerts

유형1 has constant value ""Constant
대표 기관명 has constant value ""Constant
행정 시 has constant value ""Constant
메인 키 has 423 (100.0%) missing valuesMissing
기관 코드 has 423 (100.0%) missing valuesMissing
전체 기관명 has unique valuesUnique
최하위 기관명 has unique valuesUnique
메인 키 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기관 코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 05:13:02.540440
Analysis finished2023-12-11 05:13:03.553142
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

메인 키
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing423
Missing (%)100.0%
Memory size3.8 KiB

기관 코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing423
Missing (%)100.0%
Memory size3.8 KiB

유형1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
지자체
423 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지자체 423
100.0%

Length

2023-12-11T14:13:03.657300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:13:03.826218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지자체 423
100.0%

대표 기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
서울특별시
423 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 423
100.0%

Length

2023-12-11T14:13:04.015035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:13:04.205681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 423
100.0%

전체 기관명
Text

UNIQUE 

Distinct423
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-11T14:13:04.841033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length13.910165
Min length11

Characters and Unicode

Total characters5884
Distinct characters200
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique423 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 청운효자동
2nd row서울특별시 종로구 사직동
3rd row서울특별시 종로구 삼청동
4th row서울특별시 종로구 부암동
5th row서울특별시 종로구 평창동
ValueCountFrequency (%)
서울특별시 423
33.3%
송파구 27
 
2.1%
강남구 22
 
1.7%
관악구 21
 
1.7%
강서구 20
 
1.6%
성북구 20
 
1.6%
노원구 19
 
1.5%
영등포구 18
 
1.4%
양천구 18
 
1.4%
서초구 18
 
1.4%
Other values (438) 663
52.2%
2023-12-11T14:13:05.745230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
846
14.4%
동 488
 
8.3%
서 485
 
8.2%
구 449
 
7.6%
시 427
 
7.3%
울 423
 
7.2%
별 423
 
7.2%
특 423
 
7.2%
1 98
 
1.7%
2 98
 
1.7%
Other values (190) 1724
29.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4732
80.4%
Space Separator 846
 
14.4%
Decimal Number 294
 
5.0%
Other Punctuation 10
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 488
 
10.3%
서 485
 
10.2%
구 449
 
9.5%
시 427
 
9.0%
울 423
 
8.9%
별 423
 
8.9%
특 423
 
8.9%
강 76
 
1.6%
성 53
 
1.1%
포 44
 
0.9%
Other values (175) 1441
30.5%
Decimal Number
ValueCountFrequency (%)
1 98
33.3%
2 98
33.3%
3 43
14.6%
4 26
 
8.8%
5 11
 
3.7%
6 7
 
2.4%
7 6
 
2.0%
8 3
 
1.0%
9 1
 
0.3%
0 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 8
80.0%
, 2
 
20.0%
Space Separator
ValueCountFrequency (%)
846
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4732
80.4%
Common 1152
 
19.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 488
 
10.3%
서 485
 
10.2%
구 449
 
9.5%
시 427
 
9.0%
울 423
 
8.9%
별 423
 
8.9%
특 423
 
8.9%
강 76
 
1.6%
성 53
 
1.1%
포 44
 
0.9%
Other values (175) 1441
30.5%
Common
ValueCountFrequency (%)
846
73.4%
1 98
 
8.5%
2 98
 
8.5%
3 43
 
3.7%
4 26
 
2.3%
5 11
 
1.0%
. 8
 
0.7%
6 7
 
0.6%
7 6
 
0.5%
8 3
 
0.3%
Other values (5) 6
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4732
80.4%
ASCII 1152
 
19.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
846
73.4%
1 98
 
8.5%
2 98
 
8.5%
3 43
 
3.7%
4 26
 
2.3%
5 11
 
1.0%
. 8
 
0.7%
6 7
 
0.6%
7 6
 
0.5%
8 3
 
0.3%
Other values (5) 6
 
0.5%
Hangul
ValueCountFrequency (%)
동 488
 
10.3%
서 485
 
10.2%
구 449
 
9.5%
시 427
 
9.0%
울 423
 
8.9%
별 423
 
8.9%
특 423
 
8.9%
강 76
 
1.6%
성 53
 
1.1%
포 44
 
0.9%
Other values (175) 1441
30.5%

최하위 기관명
Text

UNIQUE 

Distinct423
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-11T14:13:06.298836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length9
Mean length8.9267139
Min length7

Characters and Unicode

Total characters3776
Distinct characters196
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique423 ?
Unique (%)100.0%

Sample

1st row청운효자동 자치회관
2nd row사직동 자치회관
3rd row삼청동 자치회관
4th row부암동 자치회관
5th row평창동 자치회관
ValueCountFrequency (%)
자치회관 401
47.4%
주민자치센터 22
 
2.6%
신사동 2
 
0.2%
독산3동 1
 
0.1%
당산1동 1
 
0.1%
여의동 1
 
0.1%
영등포동 1
 
0.1%
영등포본동 1
 
0.1%
시흥5동 1
 
0.1%
시흥4동 1
 
0.1%
Other values (414) 414
48.9%
2023-12-11T14:13:07.095747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
자 429
11.4%
치 426
11.3%
동 425
11.3%
423
11.2%
회 404
10.7%
관 403
10.7%
2 97
 
2.6%
1 97
 
2.6%
3 43
 
1.1%
신 38
 
1.0%
Other values (186) 991
26.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3052
80.8%
Space Separator 423
 
11.2%
Decimal Number 292
 
7.7%
Other Punctuation 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 429
14.1%
치 426
14.0%
동 425
13.9%
회 404
13.2%
관 403
13.2%
신 38
 
1.2%
가 23
 
0.8%
주 22
 
0.7%
센 22
 
0.7%
터 22
 
0.7%
Other values (173) 838
27.5%
Decimal Number
ValueCountFrequency (%)
2 97
33.2%
1 97
33.2%
3 43
14.7%
4 26
 
8.9%
5 11
 
3.8%
6 7
 
2.4%
7 6
 
2.1%
8 3
 
1.0%
0 1
 
0.3%
9 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 8
88.9%
, 1
 
11.1%
Space Separator
ValueCountFrequency (%)
423
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3052
80.8%
Common 724
 
19.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 429
14.1%
치 426
14.0%
동 425
13.9%
회 404
13.2%
관 403
13.2%
신 38
 
1.2%
가 23
 
0.8%
주 22
 
0.7%
센 22
 
0.7%
터 22
 
0.7%
Other values (173) 838
27.5%
Common
ValueCountFrequency (%)
423
58.4%
2 97
 
13.4%
1 97
 
13.4%
3 43
 
5.9%
4 26
 
3.6%
5 11
 
1.5%
. 8
 
1.1%
6 7
 
1.0%
7 6
 
0.8%
8 3
 
0.4%
Other values (3) 3
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3052
80.8%
ASCII 724
 
19.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
자 429
14.1%
치 426
14.0%
동 425
13.9%
회 404
13.2%
관 403
13.2%
신 38
 
1.2%
가 23
 
0.8%
주 22
 
0.7%
센 22
 
0.7%
터 22
 
0.7%
Other values (173) 838
27.5%
ASCII
ValueCountFrequency (%)
423
58.4%
2 97
 
13.4%
1 97
 
13.4%
3 43
 
5.9%
4 26
 
3.6%
5 11
 
1.5%
. 8
 
1.1%
6 7
 
1.0%
7 6
 
0.8%
8 3
 
0.4%
Other values (3) 3
 
0.4%

도로명 주소
Text

Distinct422
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-11T14:13:07.723242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length18.770686
Min length14

Characters and Unicode

Total characters7940
Distinct characters222
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique421 ?
Unique (%)99.5%

Sample

1st row서울특별시 종로구 자하문로 19길 36
2nd row서울특별시 종로구 사직로9길 1
3rd row서울특별시 종로구 삼청로 107
4th row서울특별시 종로구 창의문로 145
5th row서울특별시 종로구 평창문화로 65
ValueCountFrequency (%)
서울특별시 423
 
24.5%
송파구 27
 
1.6%
강남구 22
 
1.3%
관악구 21
 
1.2%
성북구 20
 
1.2%
강서구 20
 
1.2%
노원구 19
 
1.1%
양천구 18
 
1.0%
영등포구 18
 
1.0%
서초구 18
 
1.0%
Other values (645) 1124
65.0%
2023-12-11T14:13:08.591746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1308
16.5%
서 492
 
6.2%
구 447
 
5.6%
로 436
 
5.5%
시 431
 
5.4%
울 425
 
5.4%
특 423
 
5.3%
별 423
 
5.3%
1 280
 
3.5%
길 252
 
3.2%
Other values (212) 3023
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5161
65.0%
Decimal Number 1424
 
17.9%
Space Separator 1308
 
16.5%
Dash Punctuation 44
 
0.6%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 492
 
9.5%
구 447
 
8.7%
로 436
 
8.4%
시 431
 
8.4%
울 425
 
8.2%
특 423
 
8.2%
별 423
 
8.2%
길 252
 
4.9%
동 101
 
2.0%
강 79
 
1.5%
Other values (199) 1652
32.0%
Decimal Number
ValueCountFrequency (%)
1 280
19.7%
2 205
14.4%
3 185
13.0%
5 139
9.8%
4 127
8.9%
6 113
7.9%
7 110
 
7.7%
9 102
 
7.2%
0 83
 
5.8%
8 80
 
5.6%
Space Separator
ValueCountFrequency (%)
1308
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5161
65.0%
Common 2779
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 492
 
9.5%
구 447
 
8.7%
로 436
 
8.4%
시 431
 
8.4%
울 425
 
8.2%
특 423
 
8.2%
별 423
 
8.2%
길 252
 
4.9%
동 101
 
2.0%
강 79
 
1.5%
Other values (199) 1652
32.0%
Common
ValueCountFrequency (%)
1308
47.1%
1 280
 
10.1%
2 205
 
7.4%
3 185
 
6.7%
5 139
 
5.0%
4 127
 
4.6%
6 113
 
4.1%
7 110
 
4.0%
9 102
 
3.7%
0 83
 
3.0%
Other values (3) 127
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5161
65.0%
ASCII 2779
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1308
47.1%
1 280
 
10.1%
2 205
 
7.4%
3 185
 
6.7%
5 139
 
5.0%
4 127
 
4.6%
6 113
 
4.1%
7 110
 
4.0%
9 102
 
3.7%
0 83
 
3.0%
Other values (3) 127
 
4.6%
Hangul
ValueCountFrequency (%)
서 492
 
9.5%
구 447
 
8.7%
로 436
 
8.4%
시 431
 
8.4%
울 425
 
8.2%
특 423
 
8.2%
별 423
 
8.2%
길 252
 
4.9%
동 101
 
2.0%
강 79
 
1.5%
Other values (199) 1652
32.0%

행정 시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
서울특별시
423 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 423
100.0%

Length

2023-12-11T14:13:08.834819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:13:09.012963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 423
100.0%

행정 구
Categorical

Distinct25
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
송파구
 
27
강남구
 
22
관악구
 
21
성북구
 
20
강서구
 
20
Other values (20)
313 

Length

Max length4
Median length3
Mean length3.0732861
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
송파구 27
 
6.4%
강남구 22
 
5.2%
관악구 21
 
5.0%
성북구 20
 
4.7%
강서구 20
 
4.7%
노원구 19
 
4.5%
서초구 18
 
4.3%
영등포구 18
 
4.3%
양천구 18
 
4.3%
종로구 17
 
4.0%
Other values (15) 223
52.7%

Length

2023-12-11T14:13:09.208104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
송파구 27
 
6.4%
강남구 22
 
5.2%
관악구 21
 
5.0%
성북구 20
 
4.7%
강서구 20
 
4.7%
노원구 19
 
4.5%
서초구 18
 
4.3%
영등포구 18
 
4.3%
양천구 18
 
4.3%
종로구 17
 
4.0%
Other values (15) 223
52.7%

행정 동
Text

Distinct422
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-11T14:13:09.736130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length3.8368794
Min length2

Characters and Unicode

Total characters1623
Distinct characters194
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique421 ?
Unique (%)99.5%

Sample

1st row청운효자동
2nd row사직동
3rd row삼청동
4th row부암동
5th row평창동
ValueCountFrequency (%)
신사동 2
 
0.5%
구로5동 1
 
0.2%
당산1동 1
 
0.2%
여의동 1
 
0.2%
영등포동 1
 
0.2%
영등포본동 1
 
0.2%
시흥5동 1
 
0.2%
시흥4동 1
 
0.2%
싱흥3동 1
 
0.2%
시흥2동 1
 
0.2%
Other values (412) 412
97.4%
2023-12-11T14:13:10.441751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 425
26.2%
1 98
 
6.0%
2 98
 
6.0%
3 43
 
2.6%
신 38
 
2.3%
4 26
 
1.6%
가 23
 
1.4%
곡 18
 
1.1%
계 17
 
1.0%
화 17
 
1.0%
Other values (184) 820
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1317
81.1%
Decimal Number 294
 
18.1%
Other Punctuation 10
 
0.6%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 425
32.3%
신 38
 
2.9%
가 23
 
1.7%
곡 18
 
1.4%
계 17
 
1.3%
화 17
 
1.3%
상 16
 
1.2%
성 16
 
1.2%
산 16
 
1.2%
방 16
 
1.2%
Other values (170) 715
54.3%
Decimal Number
ValueCountFrequency (%)
1 98
33.3%
2 98
33.3%
3 43
14.6%
4 26
 
8.8%
5 11
 
3.7%
6 7
 
2.4%
7 6
 
2.0%
8 3
 
1.0%
0 1
 
0.3%
9 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 8
80.0%
, 2
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1317
81.1%
Common 306
 
18.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 425
32.3%
신 38
 
2.9%
가 23
 
1.7%
곡 18
 
1.4%
계 17
 
1.3%
화 17
 
1.3%
상 16
 
1.2%
성 16
 
1.2%
산 16
 
1.2%
방 16
 
1.2%
Other values (170) 715
54.3%
Common
ValueCountFrequency (%)
1 98
32.0%
2 98
32.0%
3 43
14.1%
4 26
 
8.5%
5 11
 
3.6%
. 8
 
2.6%
6 7
 
2.3%
7 6
 
2.0%
8 3
 
1.0%
, 2
 
0.7%
Other values (4) 4
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1317
81.1%
ASCII 306
 
18.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 425
32.3%
신 38
 
2.9%
가 23
 
1.7%
곡 18
 
1.4%
계 17
 
1.3%
화 17
 
1.3%
상 16
 
1.2%
성 16
 
1.2%
산 16
 
1.2%
방 16
 
1.2%
Other values (170) 715
54.3%
ASCII
ValueCountFrequency (%)
1 98
32.0%
2 98
32.0%
3 43
14.1%
4 26
 
8.5%
5 11
 
3.6%
. 8
 
2.6%
6 7
 
2.3%
7 6
 
2.0%
8 3
 
1.0%
, 2
 
0.7%
Other values (4) 4
 
1.3%

Missing values

2023-12-11T14:13:03.191272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T14:13:03.467199image/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

메인 키기관 코드유형1대표 기관명전체 기관명최하위 기관명도로명 주소행정 시행정 구행정 동
0<NA><NA>지자체서울특별시서울특별시 종로구 청운효자동청운효자동 자치회관서울특별시 종로구 자하문로 19길 36서울특별시종로구청운효자동
1<NA><NA>지자체서울특별시서울특별시 종로구 사직동사직동 자치회관서울특별시 종로구 사직로9길 1서울특별시종로구사직동
2<NA><NA>지자체서울특별시서울특별시 종로구 삼청동삼청동 자치회관서울특별시 종로구 삼청로 107서울특별시종로구삼청동
3<NA><NA>지자체서울특별시서울특별시 종로구 부암동부암동 자치회관서울특별시 종로구 창의문로 145서울특별시종로구부암동
4<NA><NA>지자체서울특별시서울특별시 종로구 평창동평창동 자치회관서울특별시 종로구 평창문화로 65서울특별시종로구평창동
5<NA><NA>지자체서울특별시서울특별시 종로구 무악동무악동 자치회관서울특별시 종로구 통일로 14길 36서울특별시종로구무악동
6<NA><NA>지자체서울특별시서울특별시 종로구 교남동교남동 자치회관서울특별시 종로구 송월길 154서울특별시종로구교남동
7<NA><NA>지자체서울특별시서울특별시 종로구 가회동가회동 자치회관서울특별시 종로구 북촌로35서울특별시종로구가회동
8<NA><NA>지자체서울특별시서울특별시 종로구 종로1.2.3.4가동종로1.2.3.4가동 자치회관서울특별시 종로구 삼일대로 30길 47서울특별시종로구종로1.2.3.4가동
9<NA><NA>지자체서울특별시서울특별시 종로구 종로5.6가동종로5.6가동 자치회관서울특별시 종로구 종로35가길 19서울특별시종로구종로5.6가동
메인 키기관 코드유형1대표 기관명전체 기관명최하위 기관명도로명 주소행정 시행정 구행정 동
413<NA><NA>지자체서울특별시서울특별시 강동구 암사2동암사2동 자치회관서울특별시 강동구 상암로3길 28서울특별시강동구암사2동
414<NA><NA>지자체서울특별시서울특별시 강동구 암사3동암사3동 자치회관서울특별시 강동구 고덕로 137서울특별시강동구암사3동
415<NA><NA>지자체서울특별시서울특별시 강동구 천호1동천호1동 자치회관서울특별시 강동구 구천면로42길 59서울특별시강동구천호1동
416<NA><NA>지자체서울특별시서울특별시 강동구 천호2동천호2동 자치회관서울특별시 강동구 올림픽로 698서울특별시강동구천호2동
417<NA><NA>지자체서울특별시서울특별시 강동구 천호3동천호3동 자치회관서울특별시 강동구 천호대로 1089서울특별시강동구천호3동
418<NA><NA>지자체서울특별시서울특별시 강동구 성내1동성내1동 자치회관서울특별시 강동구 성내로 13서울특별시강동구성내1동
419<NA><NA>지자체서울특별시서울특별시 강동구 성내2동성내2동 자치회관서울특별시 강동구 풍성로37가길 62서울특별시강동구성내2동
420<NA><NA>지자체서울특별시서울특별시 강동구 성내3동성내3동 자치회관서울특별시 강동구 강동대로53길 76서울특별시강동구성내3동
421<NA><NA>지자체서울특별시서울특별시 강동구 길동길동 자치회관서울특별시 강동구 양재대로 1442 4층서울특별시강동구길동
422<NA><NA>지자체서울특별시서울특별시 강동구 둔촌2동둔촌2동 자치회관서울특별시 강동구 천호대로 186길 7서울특별시강동구둔촌2동