Overview

Dataset statistics

Number of variables8
Number of observations5625
Missing cells5
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory351.7 KiB
Average record size in memory64.0 B

Variable types

Text7
Categorical1

Dataset

Description서비스 ID,서비스명,OPENAPI서비스명,요청주소,요청기본인자,기본샘플명,기본샘플주소,OPENAPI메타URL
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-2191/S/1/datasetView.do

Alerts

요청주소 is highly imbalanced (83.0%)Imbalance
서비스 ID has unique valuesUnique
서비스명 has unique valuesUnique
OPENAPI서비스명 has unique valuesUnique

Reproduction

Analysis started2024-05-11 06:49:19.611741
Analysis finished2024-05-11 06:49:22.156824
Duration2.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

서비스 ID
Text

UNIQUE 

Distinct5625
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size44.1 KiB
2024-05-11T15:49:22.586929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.9312
Min length6

Characters and Unicode

Total characters44613
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5625 ?
Unique (%)100.0%

Sample

1st rowOA-10004
2nd rowOA-10005
3rd rowOA-10015
4th rowOA-10019
5th rowOA-10030
ValueCountFrequency (%)
oa-10004 1
 
< 0.1%
oa-19169 1
 
< 0.1%
oa-19177 1
 
< 0.1%
oa-19176 1
 
< 0.1%
oa-19175 1
 
< 0.1%
oa-19174 1
 
< 0.1%
oa-19173 1
 
< 0.1%
oa-19172 1
 
< 0.1%
oa-19171 1
 
< 0.1%
oa-19182 1
 
< 0.1%
Other values (5615) 5615
99.8%
2024-05-11T15:49:23.331930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6468
14.5%
O 5625
12.6%
A 5625
12.6%
- 5625
12.6%
2 3492
7.8%
0 2663
6.0%
6 2561
 
5.7%
7 2478
 
5.6%
8 2231
 
5.0%
9 2195
 
4.9%
Other values (3) 5650
12.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27738
62.2%
Uppercase Letter 11250
25.2%
Dash Punctuation 5625
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6468
23.3%
2 3492
12.6%
0 2663
9.6%
6 2561
 
9.2%
7 2478
 
8.9%
8 2231
 
8.0%
9 2195
 
7.9%
5 2038
 
7.3%
3 1912
 
6.9%
4 1700
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
O 5625
50.0%
A 5625
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 5625
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33363
74.8%
Latin 11250
 
25.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6468
19.4%
- 5625
16.9%
2 3492
10.5%
0 2663
8.0%
6 2561
 
7.7%
7 2478
 
7.4%
8 2231
 
6.7%
9 2195
 
6.6%
5 2038
 
6.1%
3 1912
 
5.7%
Latin
ValueCountFrequency (%)
O 5625
50.0%
A 5625
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44613
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6468
14.5%
O 5625
12.6%
A 5625
12.6%
- 5625
12.6%
2 3492
7.8%
0 2663
6.0%
6 2561
 
5.7%
7 2478
 
5.6%
8 2231
 
5.0%
9 2195
 
4.9%
Other values (3) 5650
12.7%

서비스명
Text

UNIQUE 

Distinct5625
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size44.1 KiB
2024-05-11T15:49:23.740124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length45
Mean length21.345244
Min length7

Characters and Unicode

Total characters120067
Distinct characters498
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5625 ?
Unique (%)100.0%

Sample

1st row서울시 강서구 모범음식점 취소 현황
2nd row서울시 강서구 모범음식점 신청 현황
3rd row서울시 강서구 노동조합 현황
4th row서울시 강서구 대부업 현황
5th row서울시 도봉구 위생처리업 공중위생업소 현황
ValueCountFrequency (%)
서울시 5440
19.8%
정보 3822
 
13.9%
인허가 3015
 
11.0%
현황 983
 
3.6%
유치원 338
 
1.2%
강북구 205
 
0.7%
강동구 192
 
0.7%
성동구 182
 
0.7%
중구 177
 
0.6%
강남구 173
 
0.6%
Other values (1906) 12938
47.1%
2024-05-11T15:49:24.421756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21847
 
18.2%
서 6395
 
5.3%
시 6237
 
5.2%
울 5610
 
4.7%
정 4711
 
3.9%
구 4642
 
3.9%
보 4427
 
3.7%
가 3365
 
2.8%
인 3326
 
2.8%
허 3051
 
2.5%
Other values (488) 56456
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 94167
78.4%
Space Separator 21847
 
18.2%
Decimal Number 1305
 
1.1%
Uppercase Letter 844
 
0.7%
Close Punctuation 710
 
0.6%
Open Punctuation 710
 
0.6%
Other Punctuation 265
 
0.2%
Dash Punctuation 89
 
0.1%
Connector Punctuation 65
 
0.1%
Lowercase Letter 47
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 6395
 
6.8%
시 6237
 
6.6%
울 5610
 
6.0%
정 4711
 
5.0%
구 4642
 
4.9%
보 4427
 
4.7%
가 3365
 
3.6%
인 3326
 
3.5%
허 3051
 
3.2%
업 3032
 
3.2%
Other values (440) 49371
52.4%
Uppercase Letter
ValueCountFrequency (%)
T 152
18.0%
C 120
14.2%
I 92
10.9%
S 77
9.1%
F 70
8.3%
G 66
7.8%
R 66
7.8%
W 63
7.5%
V 58
 
6.9%
E 17
 
2.0%
Other values (8) 63
7.5%
Decimal Number
ValueCountFrequency (%)
0 468
35.9%
2 249
19.1%
1 182
 
13.9%
9 115
 
8.8%
8 104
 
8.0%
4 76
 
5.8%
7 39
 
3.0%
5 36
 
2.8%
6 22
 
1.7%
3 14
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
o 23
48.9%
e 11
23.4%
n 7
 
14.9%
p 2
 
4.3%
k 1
 
2.1%
r 1
 
2.1%
t 1
 
2.1%
x 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
: 130
49.1%
. 68
25.7%
? 35
 
13.2%
, 21
 
7.9%
/ 10
 
3.8%
& 1
 
0.4%
Space Separator
ValueCountFrequency (%)
21847
100.0%
Close Punctuation
ValueCountFrequency (%)
) 710
100.0%
Open Punctuation
ValueCountFrequency (%)
( 710
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 65
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 94167
78.4%
Common 25009
 
20.8%
Latin 891
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 6395
 
6.8%
시 6237
 
6.6%
울 5610
 
6.0%
정 4711
 
5.0%
구 4642
 
4.9%
보 4427
 
4.7%
가 3365
 
3.6%
인 3326
 
3.5%
허 3051
 
3.2%
업 3032
 
3.2%
Other values (440) 49371
52.4%
Latin
ValueCountFrequency (%)
T 152
17.1%
C 120
13.5%
I 92
10.3%
S 77
8.6%
F 70
7.9%
G 66
7.4%
R 66
7.4%
W 63
7.1%
V 58
 
6.5%
o 23
 
2.6%
Other values (16) 104
11.7%
Common
ValueCountFrequency (%)
21847
87.4%
) 710
 
2.8%
( 710
 
2.8%
0 468
 
1.9%
2 249
 
1.0%
1 182
 
0.7%
: 130
 
0.5%
9 115
 
0.5%
8 104
 
0.4%
- 89
 
0.4%
Other values (12) 405
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 94166
78.4%
ASCII 25900
 
21.6%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21847
84.4%
) 710
 
2.7%
( 710
 
2.7%
0 468
 
1.8%
2 249
 
1.0%
1 182
 
0.7%
T 152
 
0.6%
: 130
 
0.5%
C 120
 
0.5%
9 115
 
0.4%
Other values (38) 1217
 
4.7%
Hangul
ValueCountFrequency (%)
서 6395
 
6.8%
시 6237
 
6.6%
울 5610
 
6.0%
정 4711
 
5.0%
구 4642
 
4.9%
보 4427
 
4.7%
가 3365
 
3.6%
인 3326
 
3.5%
허 3051
 
3.2%
업 3032
 
3.2%
Other values (439) 49370
52.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

OPENAPI서비스명
Text

UNIQUE 

Distinct5625
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size44.1 KiB
2024-05-11T15:49:24.801995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length19
Mean length19.268444
Min length2

Characters and Unicode

Total characters108385
Distinct characters64
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5625 ?
Unique (%)100.0%

Sample

1st rowGangseoModelRestaurantCancel
2nd rowGangseoModelRestaurantApply
3rd rowGangseoListLaborUnion
4th rowGangseoListLoanCompany
5th rowDobongPublicHygieneBizTreatment
ValueCountFrequency (%)
gangseomodelrestaurantcancel 1
 
< 0.1%
localdata_092902_gc 1
 
< 0.1%
localdata_092903_jn 1
 
< 0.1%
localdata_092902_gd 1
 
< 0.1%
localdata_092902_sp 1
 
< 0.1%
localdata_092902_gn 1
 
< 0.1%
localdata_092902_sc 1
 
< 0.1%
localdata_092902_ga 1
 
< 0.1%
localdata_092902_dj 1
 
< 0.1%
localdata_092903_dd 1
 
< 0.1%
Other values (5615) 5615
99.8%
2024-05-11T15:49:25.431996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 9563
 
8.8%
0 7055
 
6.5%
L 6680
 
6.2%
_ 6420
 
5.9%
D 4288
 
4.0%
e 4109
 
3.8%
C 4047
 
3.7%
o 3849
 
3.6%
T 3516
 
3.2%
n 3425
 
3.2%
Other values (54) 55433
51.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 43070
39.7%
Lowercase Letter 40051
37.0%
Decimal Number 18843
17.4%
Connector Punctuation 6420
 
5.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 9563
22.2%
L 6680
15.5%
D 4288
10.0%
C 4047
9.4%
T 3516
 
8.2%
O 3266
 
7.6%
S 2130
 
4.9%
G 1668
 
3.9%
P 1062
 
2.5%
B 873
 
2.0%
Other values (16) 5977
13.9%
Lowercase Letter
ValueCountFrequency (%)
e 4109
 
10.3%
o 3849
 
9.6%
n 3425
 
8.6%
i 3279
 
8.2%
t 2492
 
6.2%
c 2466
 
6.2%
a 2465
 
6.2%
l 2327
 
5.8%
s 2101
 
5.2%
r 1854
 
4.6%
Other values (16) 11684
29.2%
Decimal Number
ValueCountFrequency (%)
0 7055
37.4%
1 3389
18.0%
2 2422
 
12.9%
3 2052
 
10.9%
7 904
 
4.8%
4 784
 
4.2%
5 698
 
3.7%
9 678
 
3.6%
8 457
 
2.4%
6 404
 
2.1%
Connector Punctuation
ValueCountFrequency (%)
_ 6420
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 83121
76.7%
Common 25264
 
23.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 9563
 
11.5%
L 6680
 
8.0%
D 4288
 
5.2%
e 4109
 
4.9%
C 4047
 
4.9%
o 3849
 
4.6%
T 3516
 
4.2%
n 3425
 
4.1%
i 3279
 
3.9%
O 3266
 
3.9%
Other values (42) 37099
44.6%
Common
ValueCountFrequency (%)
0 7055
27.9%
_ 6420
25.4%
1 3389
13.4%
2 2422
 
9.6%
3 2052
 
8.1%
7 904
 
3.6%
4 784
 
3.1%
5 698
 
2.8%
9 678
 
2.7%
8 457
 
1.8%
Other values (2) 405
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 108385
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 9563
 
8.8%
0 7055
 
6.5%
L 6680
 
6.2%
_ 6420
 
5.9%
D 4288
 
4.0%
e 4109
 
3.8%
C 4047
 
3.7%
o 3849
 
3.6%
T 3516
 
3.2%
n 3425
 
3.2%
Other values (54) 55433
51.1%

요청주소
Categorical

IMBALANCE 

Distinct28
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size44.1 KiB
http://openAPI.seoul.go.kr:8088
5146 
http://openAPI.jongno.go.kr:8088
 
23
http://openAPI.guro.go.kr:8088
 
23
http://openAPI.nowon.go.kr:8088
 
19
http://openAPI.gwangjin.go.kr:8088
 
19
Other values (23)
 
395

Length

Max length39
Median length31
Mean length31.08
Min length28

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowhttp://openAPI.gangseo.seoul.kr:8088
2nd rowhttp://openAPI.gangseo.seoul.kr:8088
3rd rowhttp://openAPI.gangseo.seoul.kr:8088
4th rowhttp://openAPI.gangseo.seoul.kr:8088
5th rowhttp://openAPI.dobong.go.kr:8088

Common Values

ValueCountFrequency (%)
http://openAPI.seoul.go.kr:8088 5146
91.5%
http://openAPI.jongno.go.kr:8088 23
 
0.4%
http://openAPI.guro.go.kr:8088 23
 
0.4%
http://openAPI.nowon.go.kr:8088 19
 
0.3%
http://openAPI.gwangjin.go.kr:8088 19
 
0.3%
http://openAPI.geumcheon.go.kr:8088 19
 
0.3%
http://openAPI.junggu.seoul.kr:8088 19
 
0.3%
http://openAPI.jungnang.seoul.kr:8088 19
 
0.3%
http://openAPI.ddm.go.kr:8088 19
 
0.3%
http://openAPI.ep.go.kr:8088 19
 
0.3%
Other values (18) 300
 
5.3%

Length

2024-05-11T15:49:25.629132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
http://openapi.seoul.go.kr:8088 5147
91.5%
http://openapi.guro.go.kr:8088 23
 
0.4%
http://openapi.jongno.go.kr:8088 23
 
0.4%
http://openapi.gd.go.kr:8088 19
 
0.3%
http://openapi.gangseo.seoul.kr:8088 19
 
0.3%
http://openapi.yangcheon.go.kr:8088 19
 
0.3%
http://openapi.gwanak.go.kr:8088 19
 
0.3%
http://openapi.songpa.seoul.kr:8088 19
 
0.3%
http://openapi.gangnam.go.kr:8088 19
 
0.3%
http://openapi.yongsan.go.kr:8088 19
 
0.3%
Other values (17) 299
 
5.3%

요청기본인자
Text

Distinct5624
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Memory size44.1 KiB
2024-05-11T15:49:26.124040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length63
Mean length63.269559
Min length46

Characters and Unicode

Total characters355828
Distinct characters80
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5624 ?
Unique (%)100.0%

Sample

1st row/인증키/요청타입(xml,xls,json)/GangseoModelRestaurantCancel/요청위치(정수)/요청종료위치(정수)
2nd row/인증키/요청타입(xml,xls,json)/GangseoModelRestaurantApply/요청위치(정수)/요청종료위치(정수)
3rd row/인증키/요청타입(xml,xls,json)/GangseoListLaborUnion/요청위치(정수)/요청종료위치(정수)
4th row/인증키/요청타입(xml,xls,json)/GangseoListLoanCompany/요청위치(정수)/요청종료위치(정수)
5th row/인증키/요청타입(xml,xls,json)/DobongPublicHygieneBizTreatment/요청위치(정수)/요청종료위치(정수)
ValueCountFrequency (%)
인증키/요청타입(xml,xls,json)/gangseomodelrestaurantcancel/요청위치(정수)/요청종료위치(정수 1
 
< 0.1%
인증키/요청타입(xml,xls,json)/localdata_092902_gc/요청위치(정수)/요청종료위치(정수 1
 
< 0.1%
인증키/요청타입(xml,xls,json)/localdata_092903_jn/요청위치(정수)/요청종료위치(정수 1
 
< 0.1%
인증키/요청타입(xml,xls,json)/localdata_092902_gd/요청위치(정수)/요청종료위치(정수 1
 
< 0.1%
인증키/요청타입(xml,xls,json)/localdata_092902_sp/요청위치(정수)/요청종료위치(정수 1
 
< 0.1%
인증키/요청타입(xml,xls,json)/localdata_092902_gn/요청위치(정수)/요청종료위치(정수 1
 
< 0.1%
인증키/요청타입(xml,xls,json)/localdata_092902_sc/요청위치(정수)/요청종료위치(정수 1
 
< 0.1%
인증키/요청타입(xml,xls,json)/localdata_092902_ga/요청위치(정수)/요청종료위치(정수 1
 
< 0.1%
인증키/요청타입(xml,xls,json)/localdata_092902_dj/요청위치(정수)/요청종료위치(정수 1
 
< 0.1%
인증키/요청타입(xml,xls,json)/localdata_092903_dd/요청위치(정수)/요청종료위치(정수 1
 
< 0.1%
Other values (5614) 5614
99.8%
2024-05-11T15:49:26.960663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 28121
 
7.9%
요 16872
 
4.7%
청 16872
 
4.7%
) 16872
 
4.7%
( 16872
 
4.7%
l 13575
 
3.8%
s 13348
 
3.8%
x 11324
 
3.2%
, 11248
 
3.2%
수 11248
 
3.2%
Other values (70) 199476
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 118104
33.2%
Lowercase Letter 96279
27.1%
Uppercase Letter 43069
 
12.1%
Other Punctuation 39369
 
11.1%
Decimal Number 18843
 
5.3%
Close Punctuation 16872
 
4.7%
Open Punctuation 16872
 
4.7%
Connector Punctuation 6420
 
1.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 13575
14.1%
s 13348
13.9%
x 11324
11.8%
o 9471
9.8%
n 9048
9.4%
m 6318
 
6.6%
j 5784
 
6.0%
e 4109
 
4.3%
i 3279
 
3.4%
t 2489
 
2.6%
Other values (16) 17534
18.2%
Uppercase Letter
ValueCountFrequency (%)
A 9563
22.2%
L 6680
15.5%
D 4288
10.0%
C 4047
9.4%
T 3516
 
8.2%
O 3266
 
7.6%
S 2130
 
4.9%
G 1668
 
3.9%
P 1062
 
2.5%
B 873
 
2.0%
Other values (16) 5976
13.9%
Other Letter
ValueCountFrequency (%)
요 16872
14.3%
청 16872
14.3%
수 11248
9.5%
치 11248
9.5%
위 11248
9.5%
정 11248
9.5%
타 5624
 
4.8%
료 5624
 
4.8%
입 5624
 
4.8%
종 5624
 
4.8%
Other values (3) 16872
14.3%
Decimal Number
ValueCountFrequency (%)
0 7055
37.4%
1 3389
18.0%
2 2422
 
12.9%
3 2052
 
10.9%
7 904
 
4.8%
4 784
 
4.2%
5 698
 
3.7%
9 678
 
3.6%
8 457
 
2.4%
6 404
 
2.1%
Other Punctuation
ValueCountFrequency (%)
/ 28121
71.4%
, 11248
 
28.6%
Close Punctuation
ValueCountFrequency (%)
) 16872
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16872
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6420
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 139348
39.2%
Hangul 118104
33.2%
Common 98376
27.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 13575
 
9.7%
s 13348
 
9.6%
x 11324
 
8.1%
A 9563
 
6.9%
o 9471
 
6.8%
n 9048
 
6.5%
L 6680
 
4.8%
m 6318
 
4.5%
j 5784
 
4.2%
D 4288
 
3.1%
Other values (42) 49949
35.8%
Common
ValueCountFrequency (%)
/ 28121
28.6%
) 16872
17.2%
( 16872
17.2%
, 11248
 
11.4%
0 7055
 
7.2%
_ 6420
 
6.5%
1 3389
 
3.4%
2 2422
 
2.5%
3 2052
 
2.1%
7 904
 
0.9%
Other values (5) 3021
 
3.1%
Hangul
ValueCountFrequency (%)
요 16872
14.3%
청 16872
14.3%
수 11248
9.5%
치 11248
9.5%
위 11248
9.5%
정 11248
9.5%
타 5624
 
4.8%
료 5624
 
4.8%
입 5624
 
4.8%
종 5624
 
4.8%
Other values (3) 16872
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 237724
66.8%
Hangul 118104
33.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 28121
 
11.8%
) 16872
 
7.1%
( 16872
 
7.1%
l 13575
 
5.7%
s 13348
 
5.6%
x 11324
 
4.8%
, 11248
 
4.7%
A 9563
 
4.0%
o 9471
 
4.0%
n 9048
 
3.8%
Other values (57) 98282
41.3%
Hangul
ValueCountFrequency (%)
요 16872
14.3%
청 16872
14.3%
수 11248
9.5%
치 11248
9.5%
위 11248
9.5%
정 11248
9.5%
타 5624
 
4.8%
료 5624
 
4.8%
입 5624
 
4.8%
종 5624
 
4.8%
Other values (3) 16872
14.3%

기본샘플명
Text

Distinct5565
Distinct (%)99.0%
Missing2
Missing (%)< 0.1%
Memory size44.1 KiB
2024-05-11T15:49:27.345641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length67
Mean length44.827672
Min length2

Characters and Unicode

Total characters252066
Distinct characters514
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5508 ?
Unique (%)98.0%

Sample

1st row강서구 모범음식점(취소현황) 조회
2nd row강서구 모범음식점(신청현황) 조회
3rd row강서구 노동조합대장 조회
4th row강서구 대부업등록대장 조회
5th row도봉구 공중위생업소(위생처리업) 조회
ValueCountFrequency (%)
조회 1028
 
7.9%
정보 522
 
4.0%
현황 428
 
3.3%
서울시 417
 
3.2%
유치원 337
 
2.6%
서울특별시 236
 
1.8%
공간정보 164
 
1.3%
공공서비스예약 157
 
1.2%
강북구 88
 
0.7%
목록 80
 
0.6%
Other values (4891) 9615
73.6%
2024-05-11T15:49:27.988813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 24335
 
9.7%
p 12159
 
4.8%
0 10222
 
4.1%
8 9616
 
3.8%
o 9160
 
3.6%
e 9148
 
3.6%
A 9142
 
3.6%
l 9121
 
3.6%
. 9111
 
3.6%
7874
 
3.1%
Other values (504) 142178
56.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 88437
35.1%
Other Punctuation 39645
15.7%
Decimal Number 37818
15.0%
Other Letter 37394
14.8%
Uppercase Letter 33492
 
13.3%
Space Separator 7874
 
3.1%
Connector Punctuation 5987
 
2.4%
Open Punctuation 662
 
0.3%
Close Punctuation 659
 
0.3%
Dash Punctuation 73
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1580
 
4.2%
정 1381
 
3.7%
서 1331
 
3.6%
회 1198
 
3.2%
조 1181
 
3.2%
보 1165
 
3.1%
시 1141
 
3.1%
공 965
 
2.6%
울 856
 
2.3%
현 769
 
2.1%
Other values (431) 25827
69.1%
Lowercase Letter
ValueCountFrequency (%)
p 12159
13.7%
o 9160
10.4%
e 9148
10.3%
l 9121
10.3%
a 6095
 
6.9%
t 6094
 
6.9%
s 6093
 
6.9%
m 6084
 
6.9%
i 3072
 
3.5%
r 3060
 
3.5%
Other values (14) 18351
20.8%
Uppercase Letter
ValueCountFrequency (%)
A 9142
27.3%
L 6012
18.0%
D 3841
11.5%
C 3466
 
10.3%
T 3126
 
9.3%
O 3027
 
9.0%
G 1055
 
3.2%
S 862
 
2.6%
J 568
 
1.7%
P 369
 
1.1%
Other values (14) 2024
 
6.0%
Decimal Number
ValueCountFrequency (%)
0 10222
27.0%
8 9616
25.4%
1 6614
17.5%
5 3776
 
10.0%
2 2568
 
6.8%
3 2091
 
5.5%
7 903
 
2.4%
4 828
 
2.2%
9 760
 
2.0%
6 440
 
1.2%
Other Punctuation
ValueCountFrequency (%)
/ 24335
61.4%
. 9111
 
23.0%
: 6110
 
15.4%
' 52
 
0.1%
, 25
 
0.1%
? 11
 
< 0.1%
& 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 661
99.8%
[ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 658
99.8%
] 1
 
0.2%
Space Separator
ValueCountFrequency (%)
7874
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5987
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 121929
48.4%
Common 92743
36.8%
Hangul 37394
 
14.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1580
 
4.2%
정 1381
 
3.7%
서 1331
 
3.6%
회 1198
 
3.2%
조 1181
 
3.2%
보 1165
 
3.1%
시 1141
 
3.1%
공 965
 
2.6%
울 856
 
2.3%
현 769
 
2.1%
Other values (431) 25827
69.1%
Latin
ValueCountFrequency (%)
p 12159
 
10.0%
o 9160
 
7.5%
e 9148
 
7.5%
A 9142
 
7.5%
l 9121
 
7.5%
a 6095
 
5.0%
t 6094
 
5.0%
s 6093
 
5.0%
m 6084
 
5.0%
L 6012
 
4.9%
Other values (38) 42821
35.1%
Common
ValueCountFrequency (%)
/ 24335
26.2%
0 10222
11.0%
8 9616
 
10.4%
. 9111
 
9.8%
7874
 
8.5%
1 6614
 
7.1%
: 6110
 
6.6%
_ 5987
 
6.5%
5 3776
 
4.1%
2 2568
 
2.8%
Other values (15) 6530
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 214672
85.2%
Hangul 37393
 
14.8%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 24335
 
11.3%
p 12159
 
5.7%
0 10222
 
4.8%
8 9616
 
4.5%
o 9160
 
4.3%
e 9148
 
4.3%
A 9142
 
4.3%
l 9121
 
4.2%
. 9111
 
4.2%
7874
 
3.7%
Other values (63) 104784
48.8%
Hangul
ValueCountFrequency (%)
구 1580
 
4.2%
정 1381
 
3.7%
서 1331
 
3.6%
회 1198
 
3.2%
조 1181
 
3.2%
보 1165
 
3.1%
시 1141
 
3.1%
공 965
 
2.6%
울 856
 
2.3%
현 769
 
2.1%
Other values (430) 25826
69.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

기본샘플주소
Text

Distinct5621
Distinct (%)> 99.9%
Missing2
Missing (%)< 0.1%
Memory size44.1 KiB
2024-05-11T15:49:28.350200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length67
Mean length67.534768
Min length48

Characters and Unicode

Total characters379748
Distinct characters107
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5619 ?
Unique (%)99.9%

Sample

1st rowhttp://openAPI.gangseo.seoul.kr:8088/sample/xml/GangseoModelRestaurantCancel/1/5/
2nd rowhttp://openAPI.gangseo.seoul.kr:8088/sample/xml/GangseoModelRestaurantApply/1/5/
3rd rowhttp://openAPI.gangseo.seoul.kr:8088/sample/xml/GangseoListLaborUnion/1/5
4th rowhttp://openAPI.gangseo.seoul.kr:8088/sample/xml/GangseoListLoanCompany/1/5
5th rowhttp://openAPI.dobong.go.kr:8088/sample/xml/DobongPublicHygieneBizTreatment/1/5/
ValueCountFrequency (%)
3
 
0.1%
http://openapi.seoul.go.kr:8088/sample/xml//1/5 2
 
< 0.1%
http://openapi.seoul.go.kr:8088/sample/xml/localdata_010110_gd/1/5 2
 
< 0.1%
http://openapi.jongno.go.kr:8088/sample/xml/jongnofoodhygienebizlocmanage/1/5 1
 
< 0.1%
http://openapi.seoul.go.kr:8088/sample/xml/localdata_092902_gr/1/5 1
 
< 0.1%
http://openapi.seoul.go.kr:8088/sample/xml/localdata_092903_jn/1/5 1
 
< 0.1%
http://openapi.seoul.go.kr:8088/sample/xml/localdata_092902_gd/1/5 1
 
< 0.1%
http://openapi.seoul.go.kr:8088/sample/xml/localdata_092902_sp/1/5 1
 
< 0.1%
http://openapi.seoul.go.kr:8088/sample/xml/localdata_092902_gn/1/5 1
 
< 0.1%
http://openapi.seoul.go.kr:8088/sample/xml/localdata_092902_sc/1/5 1
 
< 0.1%
Other values (5613) 5613
99.8%
2024-05-11T15:49:28.970165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 44863
 
11.8%
p 22475
 
5.9%
e 20692
 
5.4%
o 20565
 
5.4%
l 18784
 
4.9%
8 17355
 
4.6%
. 16869
 
4.4%
t 13734
 
3.6%
a 13101
 
3.4%
s 13095
 
3.4%
Other values (97) 178215
46.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 200992
52.9%
Other Punctuation 72979
 
19.2%
Decimal Number 53632
 
14.1%
Uppercase Letter 45638
 
12.0%
Connector Punctuation 6416
 
1.7%
Other Letter 77
 
< 0.1%
Dash Punctuation 10
 
< 0.1%
Space Separator 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 7
 
9.1%
문 5
 
6.5%
선 4
 
5.2%
화 4
 
5.2%
중 3
 
3.9%
남 3
 
3.9%
호 3
 
3.9%
광 3
 
3.9%
수 3
 
3.9%
원 3
 
3.9%
Other values (27) 39
50.6%
Lowercase Letter
ValueCountFrequency (%)
p 22475
11.2%
e 20692
10.3%
o 20565
10.2%
l 18784
 
9.3%
t 13734
 
6.8%
a 13101
 
6.5%
s 13095
 
6.5%
m 12019
 
6.0%
n 9500
 
4.7%
i 8068
 
4.0%
Other values (16) 48959
24.4%
Uppercase Letter
ValueCountFrequency (%)
A 10419
22.8%
L 6679
14.6%
D 4287
9.4%
C 4045
 
8.9%
T 3515
 
7.7%
O 3267
 
7.2%
S 2154
 
4.7%
P 1912
 
4.2%
G 1668
 
3.7%
I 1631
 
3.6%
Other values (16) 6061
13.3%
Decimal Number
ValueCountFrequency (%)
8 17355
32.4%
0 12951
24.1%
1 9285
17.3%
5 6385
 
11.9%
2 2619
 
4.9%
3 2112
 
3.9%
7 927
 
1.7%
4 834
 
1.6%
9 709
 
1.3%
6 455
 
0.8%
Other Punctuation
ValueCountFrequency (%)
/ 44863
61.5%
. 16869
 
23.1%
: 11243
 
15.4%
? 3
 
< 0.1%
' 1
 
< 0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 6416
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 246630
64.9%
Common 133041
35.0%
Hangul 77
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
p 22475
 
9.1%
e 20692
 
8.4%
o 20565
 
8.3%
l 18784
 
7.6%
t 13734
 
5.6%
a 13101
 
5.3%
s 13095
 
5.3%
m 12019
 
4.9%
A 10419
 
4.2%
n 9500
 
3.9%
Other values (42) 92246
37.4%
Hangul
ValueCountFrequency (%)
구 7
 
9.1%
문 5
 
6.5%
선 4
 
5.2%
화 4
 
5.2%
중 3
 
3.9%
남 3
 
3.9%
호 3
 
3.9%
광 3
 
3.9%
수 3
 
3.9%
원 3
 
3.9%
Other values (27) 39
50.6%
Common
ValueCountFrequency (%)
/ 44863
33.7%
8 17355
 
13.0%
. 16869
 
12.7%
0 12951
 
9.7%
: 11243
 
8.5%
1 9285
 
7.0%
_ 6416
 
4.8%
5 6385
 
4.8%
2 2619
 
2.0%
3 2112
 
1.6%
Other values (8) 2943
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 379671
> 99.9%
Hangul 77
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 44863
 
11.8%
p 22475
 
5.9%
e 20692
 
5.4%
o 20565
 
5.4%
l 18784
 
4.9%
8 17355
 
4.6%
. 16869
 
4.4%
t 13734
 
3.6%
a 13101
 
3.5%
s 13095
 
3.4%
Other values (60) 178138
46.9%
Hangul
ValueCountFrequency (%)
구 7
 
9.1%
문 5
 
6.5%
선 4
 
5.2%
화 4
 
5.2%
중 3
 
3.9%
남 3
 
3.9%
호 3
 
3.9%
광 3
 
3.9%
수 3
 
3.9%
원 3
 
3.9%
Other values (27) 39
50.6%

OPENAPI메타URL
Text

Distinct5250
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size44.1 KiB
2024-05-11T15:49:29.309442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length95
Mean length72.845867
Min length60

Characters and Unicode

Total characters409758
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

Unique5249 ?
Unique (%)93.3%

Sample

1st rowhttps://data.gangseo.go.kr/openinf/openapiview.jsp?infId=OA-10004
2nd rowhttps://data.gangseo.go.kr/openinf/openapiview.jsp?infId=OA-10005
3rd rowhttps://data.gangseo.go.kr/openinf/openapiview.jsp?infId=OA-10015
4th rowhttps://data.gangseo.go.kr/openinf/openapiview.jsp?infId=OA-10019
5th rowhttps://data.dobong.go.kr/openinf/openapiview.jsp?infId=OA-10030
ValueCountFrequency (%)
https://data.seoul.go.kr/datalist/datasetview.do?servicekind=2&currentpageno=1&srvtype=a&infid 376
 
6.7%
https://data.songpa.go.kr/openinf/openapiview.jsp?infid=oa-18675 1
 
< 0.1%
https://data.seocho.go.kr/openinf/openapiview.jsp?infid=oa-18673 1
 
< 0.1%
https://data.gwanak.go.kr/openinf/openapiview.jsp?infid=oa-18672 1
 
< 0.1%
https://data.dongjak.go.kr/openinf/openapiview.jsp?infid=oa-18671 1
 
< 0.1%
https://data.ydp.go.kr/openinf/openapiview.jsp?infid=oa-18670 1
 
< 0.1%
https://data.geumcheon.go.kr/openinf/openapiview.jsp?infid=oa-18669 1
 
< 0.1%
https://data.guro.go.kr/openinf/openapiview.jsp?infid=oa-18668 1
 
< 0.1%
https://data.gangseo.go.kr/openinf/openapiview.jsp?infid=oa-18667 1
 
< 0.1%
https://data.yangcheon.go.kr/openinf/openapiview.jsp?infid=oa-18666 1
 
< 0.1%
Other values (5240) 5240
93.2%
2024-05-11T15:49:29.800402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 25014
 
6.1%
n 24892
 
6.1%
a 24768
 
6.0%
p 24493
 
6.0%
i 24088
 
5.9%
t 24025
 
5.9%
/ 22500
 
5.5%
. 22500
 
5.5%
o 20926
 
5.1%
d 18323
 
4.5%
Other values (39) 178229
43.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 279203
68.1%
Other Punctuation 60540
 
14.8%
Decimal Number 28718
 
7.0%
Uppercase Letter 26133
 
6.4%
Math Symbol 9915
 
2.4%
Dash Punctuation 5249
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 25014
 
9.0%
n 24892
 
8.9%
a 24768
 
8.9%
p 24493
 
8.8%
i 24088
 
8.6%
t 24025
 
8.6%
o 20926
 
7.5%
d 18323
 
6.6%
s 18127
 
6.5%
r 11509
 
4.1%
Other values (13) 63038
22.6%
Decimal Number
ValueCountFrequency (%)
1 8548
29.8%
2 3239
 
11.3%
0 2504
 
8.7%
6 2456
 
8.6%
7 2370
 
8.3%
8 2141
 
7.5%
9 2110
 
7.3%
5 1926
 
6.7%
3 1798
 
6.3%
4 1626
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
A 6679
25.6%
I 5625
21.5%
O 5249
20.1%
V 1430
 
5.5%
L 1430
 
5.5%
K 1430
 
5.5%
T 1430
 
5.5%
N 1430
 
5.5%
P 1430
 
5.5%
Other Punctuation
ValueCountFrequency (%)
/ 22500
37.2%
. 22500
37.2%
? 5625
 
9.3%
: 5625
 
9.3%
& 4290
 
7.1%
Math Symbol
ValueCountFrequency (%)
= 9915
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5249
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 305336
74.5%
Common 104422
 
25.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 25014
 
8.2%
n 24892
 
8.2%
a 24768
 
8.1%
p 24493
 
8.0%
i 24088
 
7.9%
t 24025
 
7.9%
o 20926
 
6.9%
d 18323
 
6.0%
s 18127
 
5.9%
r 11509
 
3.8%
Other values (22) 89171
29.2%
Common
ValueCountFrequency (%)
/ 22500
21.5%
. 22500
21.5%
= 9915
9.5%
1 8548
 
8.2%
? 5625
 
5.4%
: 5625
 
5.4%
- 5249
 
5.0%
& 4290
 
4.1%
2 3239
 
3.1%
0 2504
 
2.4%
Other values (7) 14427
13.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 409758
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 25014
 
6.1%
n 24892
 
6.1%
a 24768
 
6.0%
p 24493
 
6.0%
i 24088
 
5.9%
t 24025
 
5.9%
/ 22500
 
5.5%
. 22500
 
5.5%
o 20926
 
5.1%
d 18323
 
4.5%
Other values (39) 178229
43.5%

Missing values

2024-05-11T15:49:21.688530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T15:49:21.920041image/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.
2024-05-11T15:49:22.063329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

서비스 ID서비스명OPENAPI서비스명요청주소요청기본인자기본샘플명기본샘플주소OPENAPI메타URL
0OA-10004서울시 강서구 모범음식점 취소 현황GangseoModelRestaurantCancelhttp://openAPI.gangseo.seoul.kr:8088/인증키/요청타입(xml,xls,json)/GangseoModelRestaurantCancel/요청위치(정수)/요청종료위치(정수)강서구 모범음식점(취소현황) 조회http://openAPI.gangseo.seoul.kr:8088/sample/xml/GangseoModelRestaurantCancel/1/5/https://data.gangseo.go.kr/openinf/openapiview.jsp?infId=OA-10004
1OA-10005서울시 강서구 모범음식점 신청 현황GangseoModelRestaurantApplyhttp://openAPI.gangseo.seoul.kr:8088/인증키/요청타입(xml,xls,json)/GangseoModelRestaurantApply/요청위치(정수)/요청종료위치(정수)강서구 모범음식점(신청현황) 조회http://openAPI.gangseo.seoul.kr:8088/sample/xml/GangseoModelRestaurantApply/1/5/https://data.gangseo.go.kr/openinf/openapiview.jsp?infId=OA-10005
2OA-10015서울시 강서구 노동조합 현황GangseoListLaborUnionhttp://openAPI.gangseo.seoul.kr:8088/인증키/요청타입(xml,xls,json)/GangseoListLaborUnion/요청위치(정수)/요청종료위치(정수)강서구 노동조합대장 조회http://openAPI.gangseo.seoul.kr:8088/sample/xml/GangseoListLaborUnion/1/5https://data.gangseo.go.kr/openinf/openapiview.jsp?infId=OA-10015
3OA-10019서울시 강서구 대부업 현황GangseoListLoanCompanyhttp://openAPI.gangseo.seoul.kr:8088/인증키/요청타입(xml,xls,json)/GangseoListLoanCompany/요청위치(정수)/요청종료위치(정수)강서구 대부업등록대장 조회http://openAPI.gangseo.seoul.kr:8088/sample/xml/GangseoListLoanCompany/1/5https://data.gangseo.go.kr/openinf/openapiview.jsp?infId=OA-10019
4OA-10030서울시 도봉구 위생처리업 공중위생업소 현황DobongPublicHygieneBizTreatmenthttp://openAPI.dobong.go.kr:8088/인증키/요청타입(xml,xls,json)/DobongPublicHygieneBizTreatment/요청위치(정수)/요청종료위치(정수)도봉구 공중위생업소(위생처리업) 조회http://openAPI.dobong.go.kr:8088/sample/xml/DobongPublicHygieneBizTreatment/1/5/https://data.dobong.go.kr/openinf/openapiview.jsp?infId=OA-10030
5OA-10031서울시 도봉구 세척제 제조업 공중위생업소 현황DobongPublicHygieneBizCleaningProductshttp://openAPI.dobong.go.kr:8088/인증키/요청타입(xml,xls,json)/DobongPublicHygieneBizCleaningProducts/요청위치(정수)/요청종료위치(정수)도봉구 공중위생업소(세척제제조업) 조회http://openAPI.dobong.go.kr:8088/sample/xml/DobongPublicHygieneBizCleaningProducts/1/5/https://data.dobong.go.kr/openinf/openapiview.jsp?infId=OA-10031
6OA-10032서울시 도봉구 기타 위생용품 제조업 공중위생업소 현황DobongPublicHygieneBizEtcProductshttp://openAPI.dobong.go.kr:8088/인증키/요청타입(xml,xls,json)/DobongPublicHygieneBizEtcProducts/요청위치(정수)/요청종료위치(정수)도봉구 공중위생업소(기타위생용품제조업) 조회http://openAPI.dobong.go.kr:8088/sample/xml/DobongPublicHygieneBizEtcProducts/1/5/https://data.dobong.go.kr/openinf/openapiview.jsp?infId=OA-10032
7OA-10039서울시 도봉구 청소년 유해업소 현황DobongJuvenileHarmfulBizhttp://openAPI.dobong.go.kr:8088/인증키/요청타입(xml,xls,json)/DobongJuvenileHarmfulBiz/요청위치(정수)/요청종료위치(정수)2012년 10월 도봉구 청소년유해업소현황 조회http://openAPI.dobong.go.kr:8088/sample/xml/DobongJuvenileHarmfulBiz/1/5/201210https://data.dobong.go.kr/openinf/openapiview.jsp?infId=OA-10039
8OA-10045서울시 도봉구 식품위생업소 소재지별 운영 현황 (차트)DobongFoodHygieneBizLocManageDonghttp://openAPI.dobong.go.kr:8088/인증키/요청타입(xml,xls,json)/DobongFoodHygieneBizLocManageDong/요청위치(정수)/요청종료위치(정수)도봉구 식품위생업소 소재지별운영현황(법정동별) 조회http://openAPI.dobong.go.kr:8088/sample/xml/DobongFoodHygieneBizLocManageDong/1/5/https://data.dobong.go.kr/openinf/openapiview.jsp?infId=OA-10045
9OA-10046서울시 도봉구 공중위생업소 소재지별 운영 현황 (차트)DobongPublicHygieneBizLocManageDonghttp://openAPI.dobong.go.kr:8088/인증키/요청타입(xml,xls,json)/DobongPublicHygieneBizLocManageDong/요청위치(정수)/요청종료위치(정수)도봉구 공중위생업소 소재지별운영현황(법정동별) 조회http://openAPI.dobong.go.kr:8088/sample/xml/DobongPublicHygieneBizLocManageDong/1/5/https://data.dobong.go.kr/openinf/openapiview.jsp?infId=OA-10046
서비스 ID서비스명OPENAPI서비스명요청주소요청기본인자기본샘플명기본샘플주소OPENAPI메타URL
5615OA-9969서울시 강서구 공중위생업소 소재지별 운영 현황 (차트)GangseoPublicHygieneBizLocManageDonghttp://openAPI.gangseo.seoul.kr:8088/인증키/요청타입(xml,xls,json)/GangseoPublicHygieneBizLocManageDong/요청위치(정수)/요청종료위치(정수)강서구 공중위생업소 소재지별운영현황(법정동별) 조회http://openAPI.gangseo.seoul.kr:8088/sample/xml/GangseoPublicHygieneBizLocManageDong/1/5/https://data.gangseo.go.kr/openinf/openapiview.jsp?infId=OA-9969
5616OA-9970서울시 강서구 환경 지도점검 내역 현황(2011년-2017년)GangseoListEnvGuideCheckhttp://openAPI.gangseo.seoul.kr:8088/인증키/요청타입(xml,xls,json)/GangseoListEnvGuideCheck/요청위치(정수)/요청종료위치(정수)강서구 환경 지도점검내역 조회http://openAPI.gangseo.seoul.kr:8088/sample/xml/GangseoListEnvGuideCheck/1/5https://data.gangseo.go.kr/openinf/openapiview.jsp?infId=OA-9970
5617OA-9986서울시 강서구 모범음식점 지정 현황GangseoModelRestaurantDesignatehttp://openAPI.gangseo.seoul.kr:8088/인증키/요청타입(xml,xls,json)/GangseoModelRestaurantDesignate/요청위치(정수)/요청종료위치(정수)강서구 모범음식점(지정현황) 조회http://openAPI.gangseo.seoul.kr:8088/sample/xml/GangseoModelRestaurantDesignate/1/5/https://data.gangseo.go.kr/openinf/openapiview.jsp?infId=OA-9986
5618OA-9988서울시 강서구 식품위생업소 행정처분내역 현황GangseoAdminMesureFoodhttp://openAPI.gangseo.seoul.kr:8088/인증키/요청타입(xml,xls,json)/GangseoAdminMesureFood/요청위치(정수)/요청종료위치(정수)강서구 행정처분내역(식품) 조회http://openAPI.gangseo.seoul.kr:8088/sample/xml/GangseoAdminMesureFood/1/5/https://data.gangseo.go.kr/openinf/openapiview.jsp?infId=OA-9988
5619OA-9989서울시 강서구 공중위생업소 행정처분내역 현황GangseoAdminMesurePublichttp://openAPI.gangseo.seoul.kr:8088/인증키/요청타입(xml,xls,json)/GangseoAdminMesurePublic/요청위치(정수)/요청종료위치(정수)강서구 행정처분내역(공중) 조회http://openAPI.gangseo.seoul.kr:8088/sample/xml/GangseoAdminMesurePublic/1/5/https://data.gangseo.go.kr/openinf/openapiview.jsp?infId=OA-9989
5620OA-9990서울시 강서구 식품위생업소 소재지별 운영 현황GangseoFoodHygieneBizLocManagehttp://openAPI.gangseo.seoul.kr:8088/인증키/요청타입(xml,xls,json)/GangseoFoodHygieneBizLocManage/요청위치(정수)/요청종료위치(정수)강서구 식품위생업소 소재지별운영현황 조회http://openAPI.gangseo.seoul.kr:8088/sample/xml/GangseoFoodHygieneBizLocManage/1/5/https://data.gangseo.go.kr/openinf/openapiview.jsp?infId=OA-9990
5621OA-9991서울시 강서구 공중위생업소 소재지별 운영 현황GangseoPublicHygieneBizLocManagehttp://openAPI.gangseo.seoul.kr:8088/인증키/요청타입(xml,xls,json)/GangseoPublicHygieneBizLocManage/요청위치(정수)/요청종료위치(정수)강서구 공중위생업소 소재지별운영현황 조회http://openAPI.gangseo.seoul.kr:8088/sample/xml/GangseoPublicHygieneBizLocManage/1/5/https://data.gangseo.go.kr/openinf/openapiview.jsp?infId=OA-9991
5622OA-9992서울시 강서구 식품위생업소 식품수거검사 현황GangseoFoodCollectCheckHygieneBizhttp://openAPI.gangseo.seoul.kr:8088/인증키/요청타입(xml,xls,json)/GangseoFoodCollectCheckHygieneBiz/요청위치(정수)/요청종료위치(정수)강서구 식품수거검사(식품위생업소) 조회http://openAPI.gangseo.seoul.kr:8088/sample/xml/GangseoFoodCollectCheckHygieneBiz/1/5/https://data.gangseo.go.kr/openinf/openapiview.jsp?infId=OA-9992
5623OA-9993서울시 강서구 전체 식품수거검사 현황GangseoFoodCollectCheckhttp://openAPI.gangseo.seoul.kr:8088/인증키/요청타입(xml,xls,json)/GangseoFoodCollectCheck/요청위치(정수)/요청종료위치(정수)강서구 식품수거검사(전체) 조회http://openAPI.gangseo.seoul.kr:8088/sample/xml/GangseoFoodCollectCheck/1/5/https://data.gangseo.go.kr/openinf/openapiview.jsp?infId=OA-9993
5624OA-9994서울시 강서구 위생업소 전체 행정처분내역 현황GangseoAdminMesurehttp://openAPI.gangseo.seoul.kr:8088/인증키/요청타입(xml,xls,json)/GangseoAdminMesure/요청위치(정수)/요청종료위치(정수)강서구 행정처분내역(전체) 조회http://openAPI.gangseo.seoul.kr:8088/sample/xml/GangseoAdminMesure/1/5/https://data.gangseo.go.kr/openinf/openapiview.jsp?infId=OA-9994