Overview

Dataset statistics

Number of variables29
Number of observations1030
Missing cells12137
Missing cells (%)40.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory248.6 KiB
Average record size in memory247.1 B

Variable types

Categorical6
Text6
DateTime5
Unsupported9
Numeric3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),수리대상 의료기기의 유형,다른 겸업 여부,총규모,영업규모
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-16439/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has constant value ""Constant
인허가취소일자 has 1029 (99.9%) missing valuesMissing
폐업일자 has 443 (43.0%) missing valuesMissing
휴업시작일자 has 1030 (100.0%) missing valuesMissing
휴업종료일자 has 1030 (100.0%) missing valuesMissing
재개업일자 has 1030 (100.0%) missing valuesMissing
전화번호 has 435 (42.2%) missing valuesMissing
소재지면적 has 1030 (100.0%) missing valuesMissing
소재지우편번호 has 657 (63.8%) missing valuesMissing
지번주소 has 27 (2.6%) missing valuesMissing
도로명주소 has 88 (8.5%) missing valuesMissing
도로명우편번호 has 88 (8.5%) missing valuesMissing
업태구분명 has 1030 (100.0%) missing valuesMissing
좌표정보(X) has 50 (4.9%) missing valuesMissing
좌표정보(Y) has 50 (4.9%) missing valuesMissing
수리대상 의료기기의 유형 has 1030 (100.0%) missing valuesMissing
다른 겸업 여부 has 1030 (100.0%) missing valuesMissing
총규모 has 1030 (100.0%) missing valuesMissing
영업규모 has 1030 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수리대상 의료기기의 유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
다른 겸업 여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:00:41.704330
Analysis finished2024-04-29 19:00:42.663604
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
3090000
1030 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 1030
100.0%

Length

2024-04-30T04:00:42.726907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:00:42.806550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 1030
100.0%

관리번호
Text

UNIQUE 

Distinct1030
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2024-04-30T04:00:42.961525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters25750
Distinct characters14
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

Unique1030 ?
Unique (%)100.0%

Sample

1st rowPHMG119973090033047000001
2nd rowPHMG119993090033047000001
3rd rowPHMG119993090033047000002
4th rowPHMG119993090033047000003
5th rowPHMG120003090033047000001
ValueCountFrequency (%)
phmg119973090033047000001 1
 
0.1%
phmg120203090033047000023 1
 
0.1%
phmg120213090033047000005 1
 
0.1%
phmg120213090033047000020 1
 
0.1%
phmg120213090033047000006 1
 
0.1%
phmg120213090033047000007 1
 
0.1%
phmg120213090033047000008 1
 
0.1%
phmg120213090033047000009 1
 
0.1%
phmg120213090033047000010 1
 
0.1%
phmg120213090033047000011 1
 
0.1%
Other values (1020) 1020
99.0%
2024-04-30T04:00:43.267734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9704
37.7%
3 3473
 
13.5%
1 2039
 
7.9%
2 1919
 
7.5%
4 1349
 
5.2%
7 1224
 
4.8%
9 1220
 
4.7%
P 1030
 
4.0%
H 1030
 
4.0%
M 1030
 
4.0%
Other values (4) 1732
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21630
84.0%
Uppercase Letter 4120
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9704
44.9%
3 3473
 
16.1%
1 2039
 
9.4%
2 1919
 
8.9%
4 1349
 
6.2%
7 1224
 
5.7%
9 1220
 
5.6%
5 276
 
1.3%
6 229
 
1.1%
8 197
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 1030
25.0%
H 1030
25.0%
M 1030
25.0%
G 1030
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21630
84.0%
Latin 4120
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9704
44.9%
3 3473
 
16.1%
1 2039
 
9.4%
2 1919
 
8.9%
4 1349
 
6.2%
7 1224
 
5.7%
9 1220
 
5.6%
5 276
 
1.3%
6 229
 
1.1%
8 197
 
0.9%
Latin
ValueCountFrequency (%)
P 1030
25.0%
H 1030
25.0%
M 1030
25.0%
G 1030
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9704
37.7%
3 3473
 
13.5%
1 2039
 
7.9%
2 1919
 
7.5%
4 1349
 
5.2%
7 1224
 
4.8%
9 1220
 
4.7%
P 1030
 
4.0%
H 1030
 
4.0%
M 1030
 
4.0%
Other values (4) 1732
 
6.7%

인허가일자
Date

Distinct808
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
Minimum1997-10-31 00:00:00
Maximum2024-04-09 00:00:00
2024-04-30T04:00:43.395148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:00:43.492722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1029
Missing (%)99.9%
Memory size8.2 KiB
Minimum2023-08-21 00:00:00
Maximum2023-08-21 00:00:00
2024-04-30T04:00:43.569467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:00:43.640392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

영업상태코드
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
3
538 
1
420 
4
 
49
5
 
23

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row3
4th row3
5th row1

Common Values

ValueCountFrequency (%)
3 538
52.2%
1 420
40.8%
4 49
 
4.8%
5 23
 
2.2%

Length

2024-04-30T04:00:43.723730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:00:43.799139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 538
52.2%
1 420
40.8%
4 49
 
4.8%
5 23
 
2.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
폐업
538 
영업/정상
420 
취소/말소/만료/정지/중지
 
49
제외/삭제/전출
 
23

Length

Max length14
Median length2
Mean length3.9281553
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row영업/정상
3rd row폐업
4th row폐업
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 538
52.2%
영업/정상 420
40.8%
취소/말소/만료/정지/중지 49
 
4.8%
제외/삭제/전출 23
 
2.2%

Length

2024-04-30T04:00:43.889491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:00:43.976078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 538
52.2%
영업/정상 420
40.8%
취소/말소/만료/정지/중지 49
 
4.8%
제외/삭제/전출 23
 
2.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
3
538 
13
420 
24
 
49
15
 
22
99
 
1

Length

Max length2
Median length1
Mean length1.4776699
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row3
2nd row13
3rd row3
4th row3
5th row13

Common Values

ValueCountFrequency (%)
3 538
52.2%
13 420
40.8%
24 49
 
4.8%
15 22
 
2.1%
99 1
 
0.1%

Length

2024-04-30T04:00:44.064190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:00:44.146122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 538
52.2%
13 420
40.8%
24 49
 
4.8%
15 22
 
2.1%
99 1
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
폐업
538 
영업중
420 
직권폐업
 
49
전출
 
22
삭제
 
1

Length

Max length4
Median length2
Mean length2.5029126
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row폐업
2nd row영업중
3rd row폐업
4th row폐업
5th row영업중

Common Values

ValueCountFrequency (%)
폐업 538
52.2%
영업중 420
40.8%
직권폐업 49
 
4.8%
전출 22
 
2.1%
삭제 1
 
0.1%

Length

2024-04-30T04:00:44.264553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:00:44.377050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 538
52.2%
영업중 420
40.8%
직권폐업 49
 
4.8%
전출 22
 
2.1%
삭제 1
 
0.1%

폐업일자
Date

MISSING 

Distinct463
Distinct (%)78.9%
Missing443
Missing (%)43.0%
Memory size8.2 KiB
Minimum2008-09-12 00:00:00
Maximum2024-04-16 00:00:00
2024-04-30T04:00:44.483561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:00:44.598024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1030
Missing (%)100.0%
Memory size9.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1030
Missing (%)100.0%
Memory size9.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1030
Missing (%)100.0%
Memory size9.2 KiB

전화번호
Text

MISSING 

Distinct552
Distinct (%)92.8%
Missing435
Missing (%)42.2%
Memory size8.2 KiB
2024-04-30T04:00:44.855344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.8588235
Min length1

Characters and Unicode

Total characters5866
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique517 ?
Unique (%)86.9%

Sample

1st row999-1181
2nd row02-999-9331
3rd row3493-4366
4th row3492-7115
5th row02-905-8024
ValueCountFrequency (%)
1577-0711 5
 
0.8%
5
 
0.8%
846-9988 4
 
0.7%
994-8261 3
 
0.5%
903-2621 2
 
0.3%
02-990-1098 2
 
0.3%
02-2296-9672 2
 
0.3%
02-904-8385 2
 
0.3%
905-6282 2
 
0.3%
955-8550 2
 
0.3%
Other values (541) 566
95.1%
2024-04-30T04:00:45.208733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 901
15.4%
0 865
14.7%
9 810
13.8%
2 637
10.9%
5 449
7.7%
4 401
6.8%
7 397
6.8%
8 376
6.4%
1 363
6.2%
3 363
6.2%
Other values (3) 304
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4960
84.6%
Dash Punctuation 901
 
15.4%
Math Symbol 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 865
17.4%
9 810
16.3%
2 637
12.8%
5 449
9.1%
4 401
8.1%
7 397
8.0%
8 376
7.6%
1 363
7.3%
3 363
7.3%
6 299
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 901
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Other Punctuation
ValueCountFrequency (%)
* 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5866
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 901
15.4%
0 865
14.7%
9 810
13.8%
2 637
10.9%
5 449
7.7%
4 401
6.8%
7 397
6.8%
8 376
6.4%
1 363
6.2%
3 363
6.2%
Other values (3) 304
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5866
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 901
15.4%
0 865
14.7%
9 810
13.8%
2 637
10.9%
5 449
7.7%
4 401
6.8%
7 397
6.8%
8 376
6.4%
1 363
6.2%
3 363
6.2%
Other values (3) 304
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1030
Missing (%)100.0%
Memory size9.2 KiB

소재지우편번호
Text

MISSING 

Distinct113
Distinct (%)30.3%
Missing657
Missing (%)63.8%
Memory size8.2 KiB
2024-04-30T04:00:45.475782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0160858
Min length6

Characters and Unicode

Total characters2244
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)13.4%

Sample

1st row132864
2nd row132849
3rd row132851
4th row132853
5th row132904
ValueCountFrequency (%)
132854 26
 
7.0%
132898 20
 
5.4%
132899 13
 
3.5%
132021 11
 
2.9%
132924 10
 
2.7%
132917 10
 
2.7%
132916 9
 
2.4%
132918 8
 
2.1%
132813 8
 
2.1%
132848 8
 
2.1%
Other values (103) 250
67.0%
2024-04-30T04:00:45.843522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 482
21.5%
2 469
20.9%
3 449
20.0%
8 268
11.9%
9 182
 
8.1%
0 119
 
5.3%
4 101
 
4.5%
5 72
 
3.2%
6 49
 
2.2%
7 47
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2238
99.7%
Dash Punctuation 6
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 482
21.5%
2 469
21.0%
3 449
20.1%
8 268
12.0%
9 182
 
8.1%
0 119
 
5.3%
4 101
 
4.5%
5 72
 
3.2%
6 49
 
2.2%
7 47
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2244
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 482
21.5%
2 469
20.9%
3 449
20.0%
8 268
11.9%
9 182
 
8.1%
0 119
 
5.3%
4 101
 
4.5%
5 72
 
3.2%
6 49
 
2.2%
7 47
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2244
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 482
21.5%
2 469
20.9%
3 449
20.0%
8 268
11.9%
9 182
 
8.1%
0 119
 
5.3%
4 101
 
4.5%
5 72
 
3.2%
6 49
 
2.2%
7 47
 
2.1%

지번주소
Text

MISSING 

Distinct526
Distinct (%)52.4%
Missing27
Missing (%)2.6%
Memory size8.2 KiB
2024-04-30T04:00:46.023974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length25.164506
Min length6

Characters and Unicode

Total characters25240
Distinct characters253
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique401 ?
Unique (%)40.0%

Sample

1st row서울특별시 도봉구 쌍문*동 **번지 *호 *층, 지하*층
2nd row서울특별시 도봉구 창동 ***-* 상아프라자
3rd row서울특별시 도봉구 방학*동 ***번지 삼흥빌딩 *층
4th row서울특별시 도봉구 방학*동 ***번지 **호 *층
5th row서울특별시 도봉구 방학동 ***번지 **호
ValueCountFrequency (%)
서울특별시 992
18.7%
도봉구 945
17.8%
호 579
10.9%
번지 523
9.9%
464
8.7%
창동 263
 
5.0%
층 237
 
4.5%
방학동 179
 
3.4%
쌍문동 170
 
3.2%
도봉동 140
 
2.6%
Other values (318) 812
15.3%
2024-04-30T04:00:46.325586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 5285
20.9%
4341
17.2%
도 1219
 
4.8%
봉 1216
 
4.8%
동 1106
 
4.4%
시 1008
 
4.0%
서 998
 
4.0%
구 997
 
4.0%
울 995
 
3.9%
특 992
 
3.9%
Other values (243) 7083
28.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14954
59.2%
Other Punctuation 5325
 
21.1%
Space Separator 4341
 
17.2%
Dash Punctuation 373
 
1.5%
Decimal Number 97
 
0.4%
Uppercase Letter 79
 
0.3%
Open Punctuation 32
 
0.1%
Close Punctuation 32
 
0.1%
Other Symbol 3
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1219
 
8.2%
봉 1216
 
8.1%
동 1106
 
7.4%
시 1008
 
6.7%
서 998
 
6.7%
구 997
 
6.7%
울 995
 
6.7%
특 992
 
6.6%
별 992
 
6.6%
호 599
 
4.0%
Other values (204) 4832
32.3%
Uppercase Letter
ValueCountFrequency (%)
E 14
17.7%
A 13
16.5%
B 10
12.7%
S 10
12.7%
Q 5
 
6.3%
R 4
 
5.1%
I 3
 
3.8%
L 3
 
3.8%
G 3
 
3.8%
V 2
 
2.5%
Other values (8) 12
15.2%
Decimal Number
ValueCountFrequency (%)
2 16
16.5%
1 16
16.5%
0 14
14.4%
6 11
11.3%
8 9
9.3%
5 9
9.3%
4 8
8.2%
3 8
8.2%
7 4
 
4.1%
9 2
 
2.1%
Other Punctuation
ValueCountFrequency (%)
* 5285
99.2%
, 37
 
0.7%
& 2
 
< 0.1%
@ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
4341
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 373
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14957
59.3%
Common 10203
40.4%
Latin 80
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1219
 
8.2%
봉 1216
 
8.1%
동 1106
 
7.4%
시 1008
 
6.7%
서 998
 
6.7%
구 997
 
6.7%
울 995
 
6.7%
특 992
 
6.6%
별 992
 
6.6%
호 599
 
4.0%
Other values (205) 4835
32.3%
Common
ValueCountFrequency (%)
* 5285
51.8%
4341
42.5%
- 373
 
3.7%
, 37
 
0.4%
( 32
 
0.3%
) 32
 
0.3%
2 16
 
0.2%
1 16
 
0.2%
0 14
 
0.1%
6 11
 
0.1%
Other values (9) 46
 
0.5%
Latin
ValueCountFrequency (%)
E 14
17.5%
A 13
16.2%
B 10
12.5%
S 10
12.5%
Q 5
 
6.2%
R 4
 
5.0%
I 3
 
3.8%
L 3
 
3.8%
G 3
 
3.8%
V 2
 
2.5%
Other values (9) 13
16.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14954
59.2%
ASCII 10282
40.7%
None 3
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 5285
51.4%
4341
42.2%
- 373
 
3.6%
, 37
 
0.4%
( 32
 
0.3%
) 32
 
0.3%
2 16
 
0.2%
1 16
 
0.2%
0 14
 
0.1%
E 14
 
0.1%
Other values (27) 122
 
1.2%
Hangul
ValueCountFrequency (%)
도 1219
 
8.2%
봉 1216
 
8.1%
동 1106
 
7.4%
시 1008
 
6.7%
서 998
 
6.7%
구 997
 
6.7%
울 995
 
6.7%
특 992
 
6.6%
별 992
 
6.6%
호 599
 
4.0%
Other values (204) 4832
32.3%
None
ValueCountFrequency (%)
㈜ 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명주소
Text

MISSING 

Distinct591
Distinct (%)62.7%
Missing88
Missing (%)8.5%
Memory size8.2 KiB
2024-04-30T04:00:46.537779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length33.058386
Min length19

Characters and Unicode

Total characters31141
Distinct characters236
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique464 ?
Unique (%)49.3%

Sample

1st row서울특별시 도봉구 도봉로 ***, *층, 지하*층 (쌍문동)
2nd row서울특별시 도봉구 노해로**길 **, 상아프라자 ***호 (창동)
3rd row서울특별시 도봉구 방학로 ***, *층 (방학동)
4th row서울특별시 도봉구 방학로 ***-* (방학동)
5th row서울특별시 도봉구 도봉로 *** (방학동)
ValueCountFrequency (%)
서울특별시 942
15.3%
도봉구 938
15.2%
930
15.1%
층 471
 
7.7%
호 385
 
6.3%
창동 330
 
5.4%
방학동 237
 
3.9%
쌍문동 211
 
3.4%
도봉동 167
 
2.7%
도봉로***길 162
 
2.6%
Other values (330) 1381
22.4%
2024-04-30T04:00:46.938055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 5574
17.9%
5212
16.7%
도 1555
 
5.0%
봉 1531
 
4.9%
동 1123
 
3.6%
, 1118
 
3.6%
시 1007
 
3.2%
서 945
 
3.0%
울 944
 
3.0%
( 942
 
3.0%
Other values (226) 11190
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17029
54.7%
Other Punctuation 6694
 
21.5%
Space Separator 5212
 
16.7%
Open Punctuation 942
 
3.0%
Close Punctuation 942
 
3.0%
Dash Punctuation 125
 
0.4%
Decimal Number 103
 
0.3%
Uppercase Letter 83
 
0.3%
Math Symbol 6
 
< 0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1555
 
9.1%
봉 1531
 
9.0%
동 1123
 
6.6%
시 1007
 
5.9%
서 945
 
5.5%
울 944
 
5.5%
구 942
 
5.5%
별 942
 
5.5%
특 942
 
5.5%
로 929
 
5.5%
Other values (188) 6169
36.2%
Uppercase Letter
ValueCountFrequency (%)
B 16
19.3%
E 11
13.3%
A 11
13.3%
S 7
8.4%
Q 5
 
6.0%
L 4
 
4.8%
G 4
 
4.8%
R 4
 
4.8%
I 4
 
4.8%
V 3
 
3.6%
Other values (8) 14
16.9%
Decimal Number
ValueCountFrequency (%)
1 28
27.2%
0 18
17.5%
2 13
12.6%
7 12
11.7%
4 11
 
10.7%
3 8
 
7.8%
8 5
 
4.9%
5 4
 
3.9%
9 2
 
1.9%
6 2
 
1.9%
Other Punctuation
ValueCountFrequency (%)
* 5574
83.3%
, 1118
 
16.7%
& 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5212
100.0%
Open Punctuation
ValueCountFrequency (%)
( 942
100.0%
Close Punctuation
ValueCountFrequency (%)
) 942
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 125
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17033
54.7%
Common 14024
45.0%
Latin 84
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1555
 
9.1%
봉 1531
 
9.0%
동 1123
 
6.6%
시 1007
 
5.9%
서 945
 
5.5%
울 944
 
5.5%
구 942
 
5.5%
별 942
 
5.5%
특 942
 
5.5%
로 929
 
5.5%
Other values (189) 6173
36.2%
Latin
ValueCountFrequency (%)
B 16
19.0%
E 11
13.1%
A 11
13.1%
S 7
8.3%
Q 5
 
6.0%
L 4
 
4.8%
G 4
 
4.8%
R 4
 
4.8%
I 4
 
4.8%
V 3
 
3.6%
Other values (9) 15
17.9%
Common
ValueCountFrequency (%)
* 5574
39.7%
5212
37.2%
, 1118
 
8.0%
( 942
 
6.7%
) 942
 
6.7%
- 125
 
0.9%
1 28
 
0.2%
0 18
 
0.1%
2 13
 
0.1%
7 12
 
0.1%
Other values (8) 40
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17029
54.7%
ASCII 14107
45.3%
None 4
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 5574
39.5%
5212
36.9%
, 1118
 
7.9%
( 942
 
6.7%
) 942
 
6.7%
- 125
 
0.9%
1 28
 
0.2%
0 18
 
0.1%
B 16
 
0.1%
2 13
 
0.1%
Other values (26) 119
 
0.8%
Hangul
ValueCountFrequency (%)
도 1555
 
9.1%
봉 1531
 
9.0%
동 1123
 
6.6%
시 1007
 
5.9%
서 945
 
5.5%
울 944
 
5.5%
구 942
 
5.5%
별 942
 
5.5%
특 942
 
5.5%
로 929
 
5.5%
Other values (188) 6169
36.2%
None
ValueCountFrequency (%)
㈜ 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct220
Distinct (%)23.4%
Missing88
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean18973.333
Minimum1301
Maximum132959
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 KiB
2024-04-30T04:00:47.126834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1301
5-th percentile1308.05
Q11346
median1403
Q31455
95-th percentile132896.95
Maximum132959
Range131658
Interquartile range (IQR)109

Descriptive statistics

Standard deviation44773.945
Coefficient of variation (CV)2.3598355
Kurtosis2.6510276
Mean18973.333
Median Absolute Deviation (MAD)53
Skewness2.1553155
Sum17872880
Variance2.0047062 × 109
MonotonicityNot monotonic
2024-04-30T04:00:47.300274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1414 43
 
4.2%
1325 28
 
2.7%
1332 17
 
1.7%
1454 16
 
1.6%
1359 13
 
1.3%
1334 13
 
1.3%
1415 13
 
1.3%
1399 12
 
1.2%
1401 12
 
1.2%
1309 11
 
1.1%
Other values (210) 764
74.2%
(Missing) 88
 
8.5%
ValueCountFrequency (%)
1301 8
0.8%
1302 3
 
0.3%
1303 7
0.7%
1304 8
0.8%
1305 5
0.5%
1306 6
0.6%
1307 6
0.6%
1308 5
0.5%
1309 11
1.1%
1310 5
0.5%
ValueCountFrequency (%)
132959 1
 
0.1%
132952 1
 
0.1%
132935 1
 
0.1%
132932 1
 
0.1%
132930 1
 
0.1%
132928 1
 
0.1%
132926 2
 
0.2%
132925 1
 
0.1%
132924 5
0.5%
132919 1
 
0.1%

사업장명
Text

Distinct965
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2024-04-30T04:00:47.566964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length7.4582524
Min length2

Characters and Unicode

Total characters7682
Distinct characters512
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique904 ?
Unique (%)87.8%

Sample

1st row(주)파인엠
2nd row김정문알로에북부지부
3rd row누가의료기
4th row대신의료기
5th row종로의료기
ValueCountFrequency (%)
세븐일레븐 32
 
2.6%
주식회사 26
 
2.1%
지에스(gs)25 12
 
1.0%
씨유 7
 
0.6%
쌍문점 5
 
0.4%
클럽밸런스5 4
 
0.3%
창동점 4
 
0.3%
gs25 4
 
0.3%
방학점 4
 
0.3%
창동지점 3
 
0.2%
Other values (1021) 1115
91.7%
2024-04-30T04:00:47.864033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 328
 
4.3%
스 220
 
2.9%
이 188
 
2.4%
187
 
2.4%
( 149
 
1.9%
) 149
 
1.9%
주 144
 
1.9%
디 129
 
1.7%
메 124
 
1.6%
동 123
 
1.6%
Other values (502) 5941
77.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6537
85.1%
Uppercase Letter 296
 
3.9%
Decimal Number 242
 
3.2%
Space Separator 187
 
2.4%
Open Punctuation 149
 
1.9%
Close Punctuation 149
 
1.9%
Lowercase Letter 105
 
1.4%
Other Punctuation 11
 
0.1%
Dash Punctuation 4
 
0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 328
 
5.0%
스 220
 
3.4%
이 188
 
2.9%
주 144
 
2.2%
디 129
 
2.0%
메 124
 
1.9%
동 123
 
1.9%
리 121
 
1.9%
도 119
 
1.8%
븐 117
 
1.8%
Other values (442) 4924
75.3%
Uppercase Letter
ValueCountFrequency (%)
S 79
26.7%
G 71
24.0%
C 18
 
6.1%
M 17
 
5.7%
U 14
 
4.7%
E 12
 
4.1%
B 9
 
3.0%
T 8
 
2.7%
H 8
 
2.7%
R 7
 
2.4%
Other values (12) 53
17.9%
Lowercase Letter
ValueCountFrequency (%)
e 19
18.1%
a 13
12.4%
l 11
10.5%
i 11
10.5%
d 9
8.6%
r 6
 
5.7%
o 5
 
4.8%
c 5
 
4.8%
n 4
 
3.8%
t 4
 
3.8%
Other values (9) 18
17.1%
Decimal Number
ValueCountFrequency (%)
2 100
41.3%
5 96
39.7%
8 8
 
3.3%
9 8
 
3.3%
1 8
 
3.3%
3 6
 
2.5%
4 5
 
2.1%
7 5
 
2.1%
6 4
 
1.7%
0 2
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 4
36.4%
& 4
36.4%
/ 2
18.2%
, 1
 
9.1%
Space Separator
ValueCountFrequency (%)
187
100.0%
Open Punctuation
ValueCountFrequency (%)
( 149
100.0%
Close Punctuation
ValueCountFrequency (%)
) 149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6539
85.1%
Common 742
 
9.7%
Latin 401
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 328
 
5.0%
스 220
 
3.4%
이 188
 
2.9%
주 144
 
2.2%
디 129
 
2.0%
메 124
 
1.9%
동 123
 
1.9%
리 121
 
1.9%
도 119
 
1.8%
븐 117
 
1.8%
Other values (443) 4926
75.3%
Latin
ValueCountFrequency (%)
S 79
19.7%
G 71
17.7%
e 19
 
4.7%
C 18
 
4.5%
M 17
 
4.2%
U 14
 
3.5%
a 13
 
3.2%
E 12
 
3.0%
l 11
 
2.7%
i 11
 
2.7%
Other values (31) 136
33.9%
Common
ValueCountFrequency (%)
187
25.2%
( 149
20.1%
) 149
20.1%
2 100
13.5%
5 96
12.9%
8 8
 
1.1%
9 8
 
1.1%
1 8
 
1.1%
3 6
 
0.8%
4 5
 
0.7%
Other values (8) 26
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6537
85.1%
ASCII 1143
 
14.9%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 328
 
5.0%
스 220
 
3.4%
이 188
 
2.9%
주 144
 
2.2%
디 129
 
2.0%
메 124
 
1.9%
동 123
 
1.9%
리 121
 
1.9%
도 119
 
1.8%
븐 117
 
1.8%
Other values (442) 4924
75.3%
ASCII
ValueCountFrequency (%)
187
16.4%
( 149
13.0%
) 149
13.0%
2 100
 
8.7%
5 96
 
8.4%
S 79
 
6.9%
G 71
 
6.2%
e 19
 
1.7%
C 18
 
1.6%
M 17
 
1.5%
Other values (49) 258
22.6%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

UNIQUE 

Distinct1030
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
Minimum2008-12-23 15:17:35
Maximum2024-04-25 16:13:04
2024-04-30T04:00:47.986323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:00:48.288405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
I
653 
U
377 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowU
3rd rowU
4th rowI
5th rowU

Common Values

ValueCountFrequency (%)
I 653
63.4%
U 377
36.6%

Length

2024-04-30T04:00:48.382836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:00:48.470078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 653
63.4%
u 377
36.6%

데이터갱신일자
Date

Distinct403
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-04-30T04:00:48.561524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:00:48.683015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1030
Missing (%)100.0%
Memory size9.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct617
Distinct (%)63.0%
Missing50
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean203433.41
Minimum201076.85
Maximum204682.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 KiB
2024-04-30T04:00:48.800946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201076.85
5-th percentile202242.96
Q1203024.59
median203482.66
Q3203954.5
95-th percentile204365.04
Maximum204682.55
Range3605.6928
Interquartile range (IQR)929.91731

Descriptive statistics

Standard deviation669.7754
Coefficient of variation (CV)0.0032923569
Kurtosis0.78890784
Mean203433.41
Median Absolute Deviation (MAD)464.6198
Skewness-0.7507967
Sum1.9936475 × 108
Variance448599.08
MonotonicityNot monotonic
2024-04-30T04:00:48.934372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204136.58447783 25
 
2.4%
204345.826664906 13
 
1.3%
203877.316994433 11
 
1.1%
204506.921108086 10
 
1.0%
204083.769271308 9
 
0.9%
202999.2675169 9
 
0.9%
203790.013568785 9
 
0.9%
202998.896551621 8
 
0.8%
202466.119176743 7
 
0.7%
204172.527806715 6
 
0.6%
Other values (607) 873
84.8%
(Missing) 50
 
4.9%
ValueCountFrequency (%)
201076.85313831 2
0.2%
201103.54012205 1
0.1%
201104.585304581 1
0.1%
201112.008025201 1
0.1%
201128.59404573 2
0.2%
201147.757677926 2
0.2%
201167.086526829 1
0.1%
201279.075045397 1
0.1%
201296.801590126 1
0.1%
201307.131347335 1
0.1%
ValueCountFrequency (%)
204682.545958314 1
 
0.1%
204641.872260793 2
 
0.2%
204577.440517749 1
 
0.1%
204569.769384803 3
 
0.3%
204534.405989157 1
 
0.1%
204528.315643675 2
 
0.2%
204506.921108086 10
1.0%
204505.05715658 1
 
0.1%
204502.118604099 2
 
0.2%
204485.798796869 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct617
Distinct (%)63.0%
Missing50
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean461831.23
Minimum458919.24
Maximum465405.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 KiB
2024-04-30T04:00:49.059331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum458919.24
5-th percentile459702.31
Q1460855.12
median461661.73
Q3462787.56
95-th percentile464463.87
Maximum465405.33
Range6486.0946
Interquartile range (IQR)1932.4347

Descriptive statistics

Standard deviation1369.5958
Coefficient of variation (CV)0.0029655764
Kurtosis-0.40984346
Mean461831.23
Median Absolute Deviation (MAD)978.4323
Skewness0.29761966
Sum4.525946 × 108
Variance1875792.7
MonotonicityNot monotonic
2024-04-30T04:00:49.189153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
463573.102150294 25
 
2.4%
461119.957690091 13
 
1.3%
462960.615197443 11
 
1.1%
461239.917552563 10
 
1.0%
460616.701327584 9
 
0.9%
462495.417040876 9
 
0.9%
462849.020752258 9
 
0.9%
461818.506049631 8
 
0.8%
460394.329853007 7
 
0.7%
464779.326449954 6
 
0.6%
Other values (607) 873
84.8%
(Missing) 50
 
4.9%
ValueCountFrequency (%)
458919.238880777 1
 
0.1%
458954.54912126 3
0.3%
458968.625259996 1
 
0.1%
459003.103267266 1
 
0.1%
459009.265716602 1
 
0.1%
459038.222873743 1
 
0.1%
459052.547149504 2
0.2%
459061.623073156 1
 
0.1%
459091.018823577 1
 
0.1%
459110.480729684 1
 
0.1%
ValueCountFrequency (%)
465405.33344411 1
0.1%
465123.841705959 1
0.1%
465106.406054016 2
0.2%
465076.350406458 2
0.2%
465025.246646886 2
0.2%
465020.600650429 2
0.2%
464907.336540817 1
0.1%
464905.033086911 1
0.1%
464855.988967255 1
0.1%
464840.183818755 2
0.2%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1030
Missing (%)100.0%
Memory size9.2 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1030
Missing (%)100.0%
Memory size9.2 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1030
Missing (%)100.0%
Memory size9.2 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1030
Missing (%)100.0%
Memory size9.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03090000PHMG11997309003304700000119971031<NA>3폐업3폐업20120821<NA><NA><NA>999-1181<NA>132864서울특별시 도봉구 쌍문*동 **번지 *호 *층, 지하*층서울특별시 도봉구 도봉로 ***, *층, 지하*층 (쌍문동)132864(주)파인엠2012-08-21 09:27:10I2018-08-31 23:59:59.0<NA>202871.080505460522.031749<NA><NA><NA><NA>
13090000PHMG11999309003304700000119990313<NA>1영업/정상13영업중<NA><NA><NA><NA>02-999-9331<NA><NA>서울특별시 도봉구 창동 ***-* 상아프라자서울특별시 도봉구 노해로**길 **, 상아프라자 ***호 (창동)1403김정문알로에북부지부2021-08-20 17:31:28U2021-08-22 02:40:00.0<NA>203882.238752461149.873155<NA><NA><NA><NA>
23090000PHMG11999309003304700000219990330<NA>3폐업3폐업20220726<NA><NA><NA>3493-4366<NA>132849서울특별시 도봉구 방학*동 ***번지 삼흥빌딩 *층서울특별시 도봉구 방학로 ***, *층 (방학동)1389누가의료기2022-07-26 12:00:44U2021-12-06 22:08:00.0<NA>203136.82864462239.390997<NA><NA><NA><NA>
33090000PHMG11999309003304700000319990807<NA>3폐업3폐업20120327<NA><NA><NA>3492-7115<NA>132851서울특별시 도봉구 방학*동 ***번지 **호 *층서울특별시 도봉구 방학로 ***-* (방학동)132851대신의료기2012-03-27 10:15:43I2018-08-31 23:59:59.0<NA>203267.07022462310.699769<NA><NA><NA><NA>
43090000PHMG12000309003304700000120000224<NA>1영업/정상13영업중<NA><NA><NA><NA>02-905-8024<NA>132853서울특별시 도봉구 방학동 ***번지 **호서울특별시 도봉구 도봉로 *** (방학동)1340종로의료기2022-07-25 11:15:40U2021-12-06 22:07:00.0<NA>203683.664518462546.059912<NA><NA><NA><NA>
53090000PHMG12000309003304700000220000403<NA>3폐업3폐업20110802<NA><NA><NA>991-6645<NA>132904서울특별시 도봉구창*동 ***-** (*층)<NA><NA>NBC21건강전문점2011-08-02 11:35:22I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
63090000PHMG12001309003304700000120010613<NA>3폐업3폐업20190315<NA><NA><NA>3499-6222<NA>132898서울특별시 도봉구 창*동 *번지 **호 *층서울특별시 도봉구 마들로**길 **, *층 (창동)1413(주)우양물산유통2019-03-15 17:45:38U2019-03-17 02:40:00.0<NA>204413.616575461378.588677<NA><NA><NA><NA>
73090000PHMG1200130900330470000022001-11-21<NA>1영업/정상13영업중<NA><NA><NA><NA>901-1052<NA>132-904서울특별시 도봉구 창*동 ***번지 **호 *,*층서울특별시 도봉구 노해로**길 *, *,*층 (창동)1405(주)이마트창동점2024-04-09 14:57:25U2023-12-03 23:01:00.0<NA>204107.090272461072.642449<NA><NA><NA><NA>
83090000PHMG12002309003304700000120020107<NA>1영업/정상13영업중<NA><NA><NA><NA>996-0877<NA><NA>서울특별시 도봉구 방학동 ***번지 *호서울특별시 도봉구 방학로**가길 ** (방학동)1357유한내추럴2017-06-13 15:05:26I2018-08-31 23:59:59.0<NA>202671.033985462369.100682<NA><NA><NA><NA>
93090000PHMG12002309003304700000220020626<NA>3폐업3폐업20150917<NA><NA><NA>990-6384<NA>132021서울특별시 도봉구 방학*동 ***번지 성보빌딩 ***호서울특별시 도봉구 도봉로***길 **, ***호 (방학동)1335(주)우방메디칼2015-10-13 15:31:53I2018-08-31 23:59:59.0<NA>203876.584261462608.555132<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
10203090000PHMG1202430900330470000062024-03-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 ***-**서울특별시 도봉구 우이천로**길 **, ***호 (창동)1479신품판매2024-03-12 09:24:28I2023-12-02 23:04:00.0<NA>203474.902407459321.352076<NA><NA><NA><NA>
10213090000PHMG1202430900330470000072024-03-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 **-* 백상빌딩서울특별시 도봉구 노해로 ***-**, 백상빌딩 ****호 (창동)1415우진관리(주)2024-03-21 13:41:07I2023-12-02 22:03:00.0<NA>204506.921108461239.917553<NA><NA><NA><NA>
10223090000PHMG1202430900330470000082024-03-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 ***서울특별시 도봉구 노해로 ***, *층 (쌍문동)1381지에스(GS)25 도봉우체국점2024-03-26 15:18:29I2023-12-02 22:08:00.0<NA>202243.247665460642.094501<NA><NA><NA><NA>
10233090000PHMG1202430900330470000092024-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 ***-** 대명빌라서울특별시 도봉구 방학로*길 **, ***호 (방학동, 대명빌라)1389민세시몰2024-03-26 16:45:52I2023-12-02 22:08:00.0<NA>203144.992697462109.244618<NA><NA><NA><NA>
10243090000PHMG1202430900330470000102024-03-26<NA>3폐업3폐업2024-04-16<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 **서울특별시 도봉구 마들로**길 **, *층 ***-**호 (창동)1414해원산업2024-04-16 14:17:12U2023-12-03 23:08:00.0<NA>204317.264907461224.014057<NA><NA><NA><NA>
10253090000PHMG1202430900330470000112024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 ***-* 쌍문동 덕성여대역리가 빌딩서울특별시 도봉구 삼양로 ***-*, *층 ***호 (쌍문동, 쌍문동 덕성여대역리가 빌딩)1368다이소 덕성여대점2024-03-29 09:49:31I2023-12-02 21:01:00.0<NA>201112.008025460988.148093<NA><NA><NA><NA>
10263090000PHMG1202430900330470000122024-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 ***-*서울특별시 도봉구 노해로 ***, *층 (쌍문동)1441지에스(GS)25 쌍문노해로점2024-04-09 17:10:51I2023-12-03 23:01:00.0<NA>202663.246206460934.324974<NA><NA><NA><NA>
10273090000PHMG1202430900330470000132024-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 ***-**서울특별시 도봉구 덕릉로**가길 **, *층 (창동)1463다이소 창동3호점2024-04-09 17:11:22I2023-12-03 23:01:00.0<NA>203173.179788460044.121403<NA><NA><NA><NA>
10283090000PHMG1202430900330470000142015-03-02<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4222-7749<NA><NA>서울특별시 도봉구 창동 **서울특별시 도봉구 마들로**길 **, *층 ***-**호 (창동)1414해원산업2024-04-18 16:34:19I2023-12-03 22:00:00.0<NA>204317.264907461224.014057<NA><NA><NA><NA>
10293090000PHMG1202430900330470000152021-09-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-948-7891<NA><NA>서울특별시 도봉구 창동 **-* EQ빌딩서울특별시 도봉구 마들로**길 **, EQ빌딩 ***호 (창동)1414조앤지컴퍼니2024-04-24 13:41:00I2023-12-03 22:06:00.0<NA>204357.382835461235.763311<NA><NA><NA><NA>