Overview

Dataset statistics

Number of variables29
Number of observations1407
Missing cells16536
Missing cells (%)40.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory339.5 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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-16437/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 1404 (99.8%) missing valuesMissing
폐업일자 has 631 (44.8%) missing valuesMissing
휴업시작일자 has 1407 (100.0%) missing valuesMissing
휴업종료일자 has 1407 (100.0%) missing valuesMissing
재개업일자 has 1407 (100.0%) missing valuesMissing
전화번호 has 673 (47.8%) missing valuesMissing
소재지면적 has 1407 (100.0%) missing valuesMissing
소재지우편번호 has 998 (70.9%) missing valuesMissing
도로명우편번호 has 120 (8.5%) missing valuesMissing
업태구분명 has 1407 (100.0%) missing valuesMissing
수리대상 의료기기의 유형 has 1407 (100.0%) missing valuesMissing
다른 겸업 여부 has 1407 (100.0%) missing valuesMissing
총규모 has 1407 (100.0%) missing valuesMissing
영업규모 has 1407 (100.0%) missing valuesMissing
좌표정보(Y) is highly skewed (γ1 = -34.45146296)Skewed
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 started2024-05-11 05:41:07.011150
Analysis finished2024-05-11 05:41:08.141760
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
3070000
1407 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 1407
100.0%

Length

2024-05-11T14:41:08.278456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:08.436113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 1407
100.0%

관리번호
Text

UNIQUE 

Distinct1407
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
2024-05-11T14:41:08.638901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters35175
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

Unique1407 ?
Unique (%)100.0%

Sample

1st rowPHMG119913070034047000001
2nd rowPHMG119913070034047000002
3rd rowPHMG119923070034047000001
4th rowPHMG119933070034047000001
5th rowPHMG119943070034047000001
ValueCountFrequency (%)
phmg119913070034047000001 1
 
0.1%
phmg120213070034047000044 1
 
0.1%
phmg120213070034047000041 1
 
0.1%
phmg120213070034047000040 1
 
0.1%
phmg120213070034047000039 1
 
0.1%
phmg120213070034047000038 1
 
0.1%
phmg120213070034047000037 1
 
0.1%
phmg120213070034047000036 1
 
0.1%
phmg120213070034047000035 1
 
0.1%
phmg120213070034047000034 1
 
0.1%
Other values (1397) 1397
99.3%
2024-05-11T14:41:09.032336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13139
37.4%
3 3292
 
9.4%
4 3275
 
9.3%
7 3114
 
8.9%
1 2776
 
7.9%
2 2665
 
7.6%
P 1407
 
4.0%
H 1407
 
4.0%
M 1407
 
4.0%
G 1407
 
4.0%
Other values (4) 1286
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29547
84.0%
Uppercase Letter 5628
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13139
44.5%
3 3292
 
11.1%
4 3275
 
11.1%
7 3114
 
10.5%
1 2776
 
9.4%
2 2665
 
9.0%
5 369
 
1.2%
6 314
 
1.1%
9 308
 
1.0%
8 295
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
P 1407
25.0%
H 1407
25.0%
M 1407
25.0%
G 1407
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29547
84.0%
Latin 5628
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13139
44.5%
3 3292
 
11.1%
4 3275
 
11.1%
7 3114
 
10.5%
1 2776
 
9.4%
2 2665
 
9.0%
5 369
 
1.2%
6 314
 
1.1%
9 308
 
1.0%
8 295
 
1.0%
Latin
ValueCountFrequency (%)
P 1407
25.0%
H 1407
25.0%
M 1407
25.0%
G 1407
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35175
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13139
37.4%
3 3292
 
9.4%
4 3275
 
9.3%
7 3114
 
8.9%
1 2776
 
7.9%
2 2665
 
7.6%
P 1407
 
4.0%
H 1407
 
4.0%
M 1407
 
4.0%
G 1407
 
4.0%
Other values (4) 1286
 
3.7%

인허가일자
Date

Distinct1054
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
Minimum1991-01-14 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T14:41:09.266548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:41:09.487406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing1404
Missing (%)99.8%
Memory size11.1 KiB
Minimum2022-11-08 00:00:00
Maximum2023-08-16 00:00:00
2024-05-11T14:41:09.628755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:41:09.776950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

영업상태코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
3
716 
1
599 
4
 
60
5
 
32

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row3
4th row5
5th row3

Common Values

ValueCountFrequency (%)
3 716
50.9%
1 599
42.6%
4 60
 
4.3%
5 32
 
2.3%

Length

2024-05-11T14:41:09.938807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:10.107767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 716
50.9%
1 599
42.6%
4 60
 
4.3%
5 32
 
2.3%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
폐업
716 
영업/정상
599 
취소/말소/만료/정지/중지
 
60
제외/삭제/전출
 
32

Length

Max length14
Median length2
Mean length3.9253731
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 716
50.9%
영업/정상 599
42.6%
취소/말소/만료/정지/중지 60
 
4.3%
제외/삭제/전출 32
 
2.3%

Length

2024-05-11T14:41:10.332895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:10.496785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 716
50.9%
영업/정상 599
42.6%
취소/말소/만료/정지/중지 60
 
4.3%
제외/삭제/전출 32
 
2.3%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
3
716 
13
599 
24
 
60
15
 
29
99
 
3

Length

Max length2
Median length1
Mean length1.4911158
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row3
4th row15
5th row3

Common Values

ValueCountFrequency (%)
3 716
50.9%
13 599
42.6%
24 60
 
4.3%
15 29
 
2.1%
99 3
 
0.2%

Length

2024-05-11T14:41:10.687437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:10.870917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 716
50.9%
13 599
42.6%
24 60
 
4.3%
15 29
 
2.1%
99 3
 
0.2%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
폐업
716 
영업중
599 
직권폐업
 
60
전출
 
29
삭제
 
3

Length

Max length4
Median length2
Mean length2.5110163
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 716
50.9%
영업중 599
42.6%
직권폐업 60
 
4.3%
전출 29
 
2.1%
삭제 3
 
0.2%

Length

2024-05-11T14:41:11.092517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:11.302415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 716
50.9%
영업중 599
42.6%
직권폐업 60
 
4.3%
전출 29
 
2.1%
삭제 3
 
0.2%

폐업일자
Date

MISSING 

Distinct547
Distinct (%)70.5%
Missing631
Missing (%)44.8%
Memory size11.1 KiB
Minimum2007-04-02 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T14:41:11.592381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:41:11.836362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1407
Missing (%)100.0%
Memory size12.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1407
Missing (%)100.0%
Memory size12.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1407
Missing (%)100.0%
Memory size12.5 KiB

전화번호
Text

MISSING 

Distinct683
Distinct (%)93.1%
Missing673
Missing (%)47.8%
Memory size11.1 KiB
2024-05-11T14:41:12.287888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.23297
Min length2

Characters and Unicode

Total characters7511
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

Unique637 ?
Unique (%)86.8%

Sample

1st row02-922-0017
2nd row02-912-8888
3rd row02-924-3214
4th row02-766-5497
5th row02-921-6611
ValueCountFrequency (%)
5
 
0.7%
02-921-7230 3
 
0.4%
923-8841 3
 
0.4%
02-6083-1457 3
 
0.4%
919-5417 2
 
0.3%
02-533-0114 2
 
0.3%
02-3293-0313 2
 
0.3%
02-943-7003 2
 
0.3%
070-7119-1225 2
 
0.3%
943-1516 2
 
0.3%
Other values (678) 714
96.5%
2024-05-11T14:41:13.090464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1207
16.1%
2 1141
15.2%
0 1036
13.8%
9 836
11.1%
1 573
7.6%
7 511
6.8%
3 490
6.5%
4 457
 
6.1%
6 419
 
5.6%
5 419
 
5.6%
Other values (3) 422
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6297
83.8%
Dash Punctuation 1207
 
16.1%
Space Separator 6
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1141
18.1%
0 1036
16.5%
9 836
13.3%
1 573
9.1%
7 511
8.1%
3 490
7.8%
4 457
7.3%
6 419
 
6.7%
5 419
 
6.7%
8 415
 
6.6%
Dash Punctuation
ValueCountFrequency (%)
- 1207
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7511
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1207
16.1%
2 1141
15.2%
0 1036
13.8%
9 836
11.1%
1 573
7.6%
7 511
6.8%
3 490
6.5%
4 457
 
6.1%
6 419
 
5.6%
5 419
 
5.6%
Other values (3) 422
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7511
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1207
16.1%
2 1141
15.2%
0 1036
13.8%
9 836
11.1%
1 573
7.6%
7 511
6.8%
3 490
6.5%
4 457
 
6.1%
6 419
 
5.6%
5 419
 
5.6%
Other values (3) 422
 
5.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1407
Missing (%)100.0%
Memory size12.5 KiB

소재지우편번호
Text

MISSING 

Distinct119
Distinct (%)29.1%
Missing998
Missing (%)70.9%
Memory size11.1 KiB
2024-05-11T14:41:13.590908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0171149
Min length6

Characters and Unicode

Total characters2461
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

Unique48 ?
Unique (%)11.7%

Sample

1st row136802
2nd row136816
3rd row136045
4th row136023
5th row136838
ValueCountFrequency (%)
136130 24
 
5.9%
136054 13
 
3.2%
136075 13
 
3.2%
136818 13
 
3.2%
136051 12
 
2.9%
136053 11
 
2.7%
136140 11
 
2.7%
136045 10
 
2.4%
136110 9
 
2.2%
136044 9
 
2.2%
Other values (109) 284
69.4%
2024-05-11T14:41:14.278152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 576
23.4%
3 517
21.0%
6 448
18.2%
0 266
10.8%
8 202
 
8.2%
5 135
 
5.5%
4 114
 
4.6%
7 97
 
3.9%
2 65
 
2.6%
9 34
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2454
99.7%
Dash Punctuation 7
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 576
23.5%
3 517
21.1%
6 448
18.3%
0 266
10.8%
8 202
 
8.2%
5 135
 
5.5%
4 114
 
4.6%
7 97
 
4.0%
2 65
 
2.6%
9 34
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2461
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 576
23.4%
3 517
21.0%
6 448
18.2%
0 266
10.8%
8 202
 
8.2%
5 135
 
5.5%
4 114
 
4.6%
7 97
 
3.9%
2 65
 
2.6%
9 34
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2461
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 576
23.4%
3 517
21.0%
6 448
18.2%
0 266
10.8%
8 202
 
8.2%
5 135
 
5.5%
4 114
 
4.6%
7 97
 
3.9%
2 65
 
2.6%
9 34
 
1.4%

지번주소
Text

Distinct753
Distinct (%)53.7%
Missing6
Missing (%)0.4%
Memory size11.1 KiB
2024-05-11T14:41:14.712980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length25.340471
Min length15

Characters and Unicode

Total characters35502
Distinct characters331
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique526 ?
Unique (%)37.5%

Sample

1st row서울특별시 성북구 동선동*가 ***번지 *호
2nd row서울특별시 성북구 길음동 ***번지 **호
3rd row서울특별시 성북구 안암동*가 *번지 서진빌라
4th row서울특별시 성북구 안암동*가 **번지 **호 한국전기공사협회 서울중부회 사옥
5th row서울특별시 성북구 종암동 **-**
ValueCountFrequency (%)
서울특별시 1400
19.3%
성북구 1396
19.2%
번지 740
10.2%
호 662
 
9.1%
646
 
8.9%
층 196
 
2.7%
하월곡동 157
 
2.2%
정릉동 149
 
2.1%
장위동 124
 
1.7%
석관동 116
 
1.6%
Other values (481) 1670
23.0%
2024-05-11T14:41:15.500348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6598
18.6%
5881
16.6%
동 1696
 
4.8%
성 1465
 
4.1%
북 1445
 
4.1%
시 1415
 
4.0%
서 1413
 
4.0%
구 1404
 
4.0%
울 1402
 
3.9%
별 1400
 
3.9%
Other values (321) 11383
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22275
62.7%
Other Punctuation 6617
 
18.6%
Space Separator 5881
 
16.6%
Dash Punctuation 480
 
1.4%
Uppercase Letter 100
 
0.3%
Decimal Number 85
 
0.2%
Close Punctuation 25
 
0.1%
Open Punctuation 25
 
0.1%
Lowercase Letter 12
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1696
 
7.6%
성 1465
 
6.6%
북 1445
 
6.5%
시 1415
 
6.4%
서 1413
 
6.3%
구 1404
 
6.3%
울 1402
 
6.3%
별 1400
 
6.3%
특 1400
 
6.3%
지 816
 
3.7%
Other values (273) 8419
37.8%
Uppercase Letter
ValueCountFrequency (%)
B 19
19.0%
K 8
 
8.0%
H 7
 
7.0%
S 7
 
7.0%
E 7
 
7.0%
I 6
 
6.0%
X 6
 
6.0%
A 5
 
5.0%
W 5
 
5.0%
V 5
 
5.0%
Other values (12) 25
25.0%
Decimal Number
ValueCountFrequency (%)
2 18
21.2%
6 14
16.5%
1 12
14.1%
0 9
10.6%
8 8
9.4%
3 5
 
5.9%
7 5
 
5.9%
5 5
 
5.9%
9 5
 
5.9%
4 4
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
e 5
41.7%
u 2
 
16.7%
r 2
 
16.7%
w 1
 
8.3%
o 1
 
8.3%
m 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
* 6598
99.7%
, 16
 
0.2%
& 1
 
< 0.1%
/ 1
 
< 0.1%
; 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5881
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 480
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22275
62.7%
Common 13115
36.9%
Latin 112
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1696
 
7.6%
성 1465
 
6.6%
북 1445
 
6.5%
시 1415
 
6.4%
서 1413
 
6.3%
구 1404
 
6.3%
울 1402
 
6.3%
별 1400
 
6.3%
특 1400
 
6.3%
지 816
 
3.7%
Other values (273) 8419
37.8%
Latin
ValueCountFrequency (%)
B 19
17.0%
K 8
 
7.1%
H 7
 
6.2%
S 7
 
6.2%
E 7
 
6.2%
I 6
 
5.4%
X 6
 
5.4%
A 5
 
4.5%
e 5
 
4.5%
W 5
 
4.5%
Other values (18) 37
33.0%
Common
ValueCountFrequency (%)
* 6598
50.3%
5881
44.8%
- 480
 
3.7%
) 25
 
0.2%
( 25
 
0.2%
2 18
 
0.1%
, 16
 
0.1%
6 14
 
0.1%
1 12
 
0.1%
0 9
 
0.1%
Other values (10) 37
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22275
62.7%
ASCII 13227
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6598
49.9%
5881
44.5%
- 480
 
3.6%
) 25
 
0.2%
( 25
 
0.2%
B 19
 
0.1%
2 18
 
0.1%
, 16
 
0.1%
6 14
 
0.1%
1 12
 
0.1%
Other values (38) 139
 
1.1%
Hangul
ValueCountFrequency (%)
동 1696
 
7.6%
성 1465
 
6.6%
북 1445
 
6.5%
시 1415
 
6.4%
서 1413
 
6.3%
구 1404
 
6.3%
울 1402
 
6.3%
별 1400
 
6.3%
특 1400
 
6.3%
지 816
 
3.7%
Other values (273) 8419
37.8%

도로명주소
Text

Distinct1066
Distinct (%)76.5%
Missing13
Missing (%)0.9%
Memory size11.1 KiB
2024-05-11T14:41:15.872513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length52
Mean length33.499283
Min length14

Characters and Unicode

Total characters46698
Distinct characters342
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

Unique863 ?
Unique (%)61.9%

Sample

1st row서울특별시 성북구 동소문로 ***, *층 (동선동*가, 골든타워)
2nd row서울특별시 성북구 동소문로 *** (길음동)
3rd row서울특별시 성북구 고려대로*길 ** (안암동*가, 서진빌라)
4th row서울특별시 성북구 안암로 **, 한국전기공사협회 서울중부회 사옥 (안암동*가)
5th row서울특별시 성북구 종암로 ** (종암동)
ValueCountFrequency (%)
서울특별시 1394
15.7%
성북구 1387
15.6%
1367
15.4%
층 538
 
6.1%
호 412
 
4.6%
하월곡동 165
 
1.9%
정릉동 152
 
1.7%
장위동 129
 
1.5%
석관동 109
 
1.2%
동소문로 103
 
1.2%
Other values (696) 3133
35.2%
2024-05-11T14:41:16.485399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7504
 
16.1%
* 7442
 
15.9%
동 2036
 
4.4%
북 1514
 
3.2%
성 1505
 
3.2%
서 1414
 
3.0%
( 1411
 
3.0%
시 1411
 
3.0%
) 1411
 
3.0%
, 1406
 
3.0%
Other values (332) 19644
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27045
57.9%
Other Punctuation 8851
 
19.0%
Space Separator 7504
 
16.1%
Open Punctuation 1411
 
3.0%
Close Punctuation 1411
 
3.0%
Dash Punctuation 232
 
0.5%
Uppercase Letter 129
 
0.3%
Decimal Number 93
 
0.2%
Lowercase Letter 12
 
< 0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2036
 
7.5%
북 1514
 
5.6%
성 1505
 
5.6%
서 1414
 
5.2%
시 1411
 
5.2%
울 1396
 
5.2%
구 1394
 
5.2%
별 1394
 
5.2%
특 1394
 
5.2%
로 1393
 
5.2%
Other values (283) 12194
45.1%
Uppercase Letter
ValueCountFrequency (%)
B 38
29.5%
K 10
 
7.8%
A 9
 
7.0%
S 9
 
7.0%
E 7
 
5.4%
H 6
 
4.7%
I 6
 
4.7%
V 5
 
3.9%
W 5
 
3.9%
R 5
 
3.9%
Other values (12) 29
22.5%
Decimal Number
ValueCountFrequency (%)
2 20
21.5%
1 18
19.4%
5 9
9.7%
6 9
9.7%
3 9
9.7%
8 7
 
7.5%
0 6
 
6.5%
9 6
 
6.5%
4 5
 
5.4%
7 4
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 5
41.7%
r 2
 
16.7%
u 2
 
16.7%
w 1
 
8.3%
o 1
 
8.3%
m 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
* 7442
84.1%
, 1406
 
15.9%
& 1
 
< 0.1%
@ 1
 
< 0.1%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
7504
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1411
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1411
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 232
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27045
57.9%
Common 19511
41.8%
Latin 142
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2036
 
7.5%
북 1514
 
5.6%
성 1505
 
5.6%
서 1414
 
5.2%
시 1411
 
5.2%
울 1396
 
5.2%
구 1394
 
5.2%
별 1394
 
5.2%
특 1394
 
5.2%
로 1393
 
5.2%
Other values (283) 12194
45.1%
Latin
ValueCountFrequency (%)
B 38
26.8%
K 10
 
7.0%
A 9
 
6.3%
S 9
 
6.3%
E 7
 
4.9%
H 6
 
4.2%
I 6
 
4.2%
V 5
 
3.5%
W 5
 
3.5%
e 5
 
3.5%
Other values (19) 42
29.6%
Common
ValueCountFrequency (%)
7504
38.5%
* 7442
38.1%
( 1411
 
7.2%
) 1411
 
7.2%
, 1406
 
7.2%
- 232
 
1.2%
2 20
 
0.1%
1 18
 
0.1%
5 9
 
< 0.1%
6 9
 
< 0.1%
Other values (10) 49
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27045
57.9%
ASCII 19652
42.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7504
38.2%
* 7442
37.9%
( 1411
 
7.2%
) 1411
 
7.2%
, 1406
 
7.2%
- 232
 
1.2%
B 38
 
0.2%
2 20
 
0.1%
1 18
 
0.1%
K 10
 
0.1%
Other values (38) 160
 
0.8%
Hangul
ValueCountFrequency (%)
동 2036
 
7.5%
북 1514
 
5.6%
성 1505
 
5.6%
서 1414
 
5.2%
시 1411
 
5.2%
울 1396
 
5.2%
구 1394
 
5.2%
별 1394
 
5.2%
특 1394
 
5.2%
로 1393
 
5.2%
Other values (283) 12194
45.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct230
Distinct (%)17.9%
Missing120
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean14332.239
Minimum1070
Maximum137806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2024-05-11T14:41:16.950284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1070
5-th percentile2714
Q12753
median2804
Q32852
95-th percentile136704.1
Maximum137806
Range136736
Interquartile range (IQR)99

Descriptive statistics

Standard deviation37556.219
Coefficient of variation (CV)2.6204013
Kurtosis6.7198366
Mean14332.239
Median Absolute Deviation (MAD)49
Skewness2.9511187
Sum18445592
Variance1.4104696 × 109
MonotonicityNot monotonic
2024-05-11T14:41:17.220248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2845 33
 
2.3%
2751 32
 
2.3%
2861 31
 
2.2%
2846 27
 
1.9%
2781 22
 
1.6%
2829 22
 
1.6%
2730 20
 
1.4%
2860 19
 
1.4%
2857 18
 
1.3%
2791 18
 
1.3%
Other values (220) 1045
74.3%
(Missing) 120
 
8.5%
ValueCountFrequency (%)
1070 1
 
0.1%
2700 1
 
0.1%
2701 7
0.5%
2702 6
 
0.4%
2704 2
 
0.1%
2705 1
 
0.1%
2706 1
 
0.1%
2708 9
0.6%
2709 15
1.1%
2710 13
0.9%
ValueCountFrequency (%)
137806 1
0.1%
136877 2
0.1%
136874 1
0.1%
136871 2
0.1%
136869 1
0.1%
136868 1
0.1%
136865 2
0.1%
136862 1
0.1%
136858 2
0.1%
136854 1
0.1%

사업장명
Text

Distinct1341
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
2024-05-11T14:41:17.751462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length8.1030561
Min length1

Characters and Unicode

Total characters11401
Distinct characters550
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1281 ?
Unique (%)91.0%

Sample

1st row제일 메디칼
2nd row성북콘택트렌즈
3rd row성진양행
4th row(주)영인헬스케어
5th row(주)호일바이오메드
ValueCountFrequency (%)
주식회사 67
 
3.4%
세븐일레븐 49
 
2.5%
주)코리아세븐 47
 
2.4%
씨유 43
 
2.2%
gs25 40
 
2.0%
㈜코리아세븐 23
 
1.2%
cu 21
 
1.1%
지에스25 12
 
0.6%
종암점 9
 
0.5%
성북지점 9
 
0.5%
Other values (1374) 1658
83.8%
2024-05-11T14:41:18.473932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
572
 
5.0%
점 474
 
4.2%
이 331
 
2.9%
주 324
 
2.8%
( 304
 
2.7%
) 303
 
2.7%
스 255
 
2.2%
성 220
 
1.9%
리 216
 
1.9%
디 208
 
1.8%
Other values (540) 8194
71.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9332
81.9%
Space Separator 572
 
5.0%
Uppercase Letter 408
 
3.6%
Open Punctuation 304
 
2.7%
Close Punctuation 303
 
2.7%
Decimal Number 229
 
2.0%
Lowercase Letter 189
 
1.7%
Other Symbol 47
 
0.4%
Other Punctuation 16
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 474
 
5.1%
이 331
 
3.5%
주 324
 
3.5%
스 255
 
2.7%
성 220
 
2.4%
리 216
 
2.3%
디 208
 
2.2%
메 200
 
2.1%
아 197
 
2.1%
븐 180
 
1.9%
Other values (476) 6727
72.1%
Uppercase Letter
ValueCountFrequency (%)
S 88
21.6%
G 71
17.4%
C 57
14.0%
U 44
10.8%
H 16
 
3.9%
J 14
 
3.4%
A 14
 
3.4%
K 13
 
3.2%
B 10
 
2.5%
N 9
 
2.2%
Other values (15) 72
17.6%
Lowercase Letter
ValueCountFrequency (%)
e 32
16.9%
a 22
11.6%
o 19
10.1%
r 13
 
6.9%
d 13
 
6.9%
n 10
 
5.3%
i 9
 
4.8%
c 9
 
4.8%
l 8
 
4.2%
t 8
 
4.2%
Other values (10) 46
24.3%
Decimal Number
ValueCountFrequency (%)
2 95
41.5%
5 76
33.2%
4 19
 
8.3%
1 11
 
4.8%
3 7
 
3.1%
9 6
 
2.6%
0 6
 
2.6%
6 5
 
2.2%
7 3
 
1.3%
8 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
& 8
50.0%
. 4
25.0%
? 3
 
18.8%
/ 1
 
6.2%
Space Separator
ValueCountFrequency (%)
572
100.0%
Open Punctuation
ValueCountFrequency (%)
( 304
100.0%
Close Punctuation
ValueCountFrequency (%)
) 303
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9377
82.2%
Common 1425
 
12.5%
Latin 597
 
5.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 474
 
5.1%
이 331
 
3.5%
주 324
 
3.5%
스 255
 
2.7%
성 220
 
2.3%
리 216
 
2.3%
디 208
 
2.2%
메 200
 
2.1%
아 197
 
2.1%
븐 180
 
1.9%
Other values (475) 6772
72.2%
Latin
ValueCountFrequency (%)
S 88
 
14.7%
G 71
 
11.9%
C 57
 
9.5%
U 44
 
7.4%
e 32
 
5.4%
a 22
 
3.7%
o 19
 
3.2%
H 16
 
2.7%
J 14
 
2.3%
A 14
 
2.3%
Other values (35) 220
36.9%
Common
ValueCountFrequency (%)
572
40.1%
( 304
21.3%
) 303
21.3%
2 95
 
6.7%
5 76
 
5.3%
4 19
 
1.3%
1 11
 
0.8%
& 8
 
0.6%
3 7
 
0.5%
9 6
 
0.4%
Other values (8) 24
 
1.7%
Han
ValueCountFrequency (%)
東 1
50.0%
仁 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9330
81.8%
ASCII 2022
 
17.7%
None 47
 
0.4%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
572
28.3%
( 304
15.0%
) 303
15.0%
2 95
 
4.7%
S 88
 
4.4%
5 76
 
3.8%
G 71
 
3.5%
C 57
 
2.8%
U 44
 
2.2%
e 32
 
1.6%
Other values (53) 380
18.8%
Hangul
ValueCountFrequency (%)
점 474
 
5.1%
이 331
 
3.5%
주 324
 
3.5%
스 255
 
2.7%
성 220
 
2.4%
리 216
 
2.3%
디 208
 
2.2%
메 200
 
2.1%
아 197
 
2.1%
븐 180
 
1.9%
Other values (474) 6725
72.1%
None
ValueCountFrequency (%)
㈜ 47
100.0%
CJK
ValueCountFrequency (%)
東 1
50.0%
仁 1
50.0%

최종수정일자
Date

UNIQUE 

Distinct1407
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
Minimum2009-01-19 13:35:37
Maximum2024-05-09 15:15:56
2024-05-11T14:41:18.699847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:41:18.891007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
I
740 
U
667 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 740
52.6%
U 667
47.4%

Length

2024-05-11T14:41:19.085650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:41:19.234800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 740
52.6%
u 667
47.4%

데이터갱신일자
Date

Distinct464
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T14:41:19.423227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:41:19.656143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1407
Missing (%)100.0%
Memory size12.5 KiB

좌표정보(X)
Real number (ℝ)

Distinct903
Distinct (%)64.8%
Missing14
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean202439.27
Minimum186164.38
Maximum213895.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2024-05-11T14:41:19.877359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186164.38
5-th percentile200416.37
Q1201297.06
median202110.79
Q3203502
95-th percentile205236.92
Maximum213895.54
Range27731.154
Interquartile range (IQR)2204.9429

Descriptive statistics

Standard deviation1626.025
Coefficient of variation (CV)0.008032162
Kurtosis9.7028565
Mean202439.27
Median Absolute Deviation (MAD)994.45324
Skewness-0.37503805
Sum2.819979 × 108
Variance2643957.2
MonotonicityNot monotonic
2024-05-11T14:41:20.085319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200841.726990037 18
 
1.3%
203502.004139568 16
 
1.1%
204746.21261151 11
 
0.8%
202029.981799661 10
 
0.7%
202466.801104742 9
 
0.6%
203587.367248013 9
 
0.6%
201234.647467534 8
 
0.6%
201215.878160704 8
 
0.6%
202789.692329185 7
 
0.5%
202667.468802014 7
 
0.5%
Other values (893) 1290
91.7%
(Missing) 14
 
1.0%
ValueCountFrequency (%)
186164.382746037 1
0.1%
190751.309727051 1
0.1%
197303.629543017 1
0.1%
198851.874054804 1
0.1%
199265.747571241 1
0.1%
199282.177873782 1
0.1%
199380.973081013 1
0.1%
199453.359808072 1
0.1%
199472.125987292 1
0.1%
199586.316865115 1
0.1%
ValueCountFrequency (%)
213895.537099 1
 
0.1%
205996.717928956 4
0.3%
205818.852385165 1
 
0.1%
205771.272436364 1
 
0.1%
205739.994538552 2
0.1%
205733.885475417 3
0.2%
205729.347626245 4
0.3%
205722.206875158 1
 
0.1%
205681.146401734 1
 
0.1%
205663.104412531 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

SKEWED 

Distinct903
Distinct (%)64.8%
Missing14
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean455157.3
Minimum256224.63
Maximum459836.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2024-05-11T14:41:20.311912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum256224.63
5-th percentile453384.73
Q1454342.92
median455500.57
Q3456270.42
95-th percentile456886.96
Maximum459836.16
Range203611.53
Interquartile range (IQR)1927.5038

Descriptive statistics

Standard deviation5478.7211
Coefficient of variation (CV)0.012036984
Kurtosis1251.1477
Mean455157.3
Median Absolute Deviation (MAD)955.58405
Skewness-34.451463
Sum6.3403412 × 108
Variance30016385
MonotonicityNot monotonic
2024-05-11T14:41:20.549817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454721.505180141 18
 
1.3%
455500.568972657 16
 
1.1%
456616.565104138 11
 
0.8%
455605.716911266 10
 
0.7%
456227.571665528 9
 
0.6%
455285.698816603 9
 
0.6%
454209.401382368 8
 
0.6%
454367.577780192 8
 
0.6%
454049.551940162 7
 
0.5%
455858.920803881 7
 
0.5%
Other values (893) 1290
91.7%
(Missing) 14
 
1.0%
ValueCountFrequency (%)
256224.630767 1
0.1%
443923.566339807 1
0.1%
445051.740091675 1
0.1%
446594.993378849 1
0.1%
449549.980931822 1
0.1%
452935.221547454 1
0.1%
452980.344046833 1
0.1%
452998.923564259 2
0.1%
453011.064075313 1
0.1%
453015.549614643 1
0.1%
ValueCountFrequency (%)
459836.158355333 1
 
0.1%
457844.348010616 4
0.3%
457803.264646008 1
 
0.1%
457751.316716904 1
 
0.1%
457678.401608072 1
 
0.1%
457579.21641655 6
0.4%
457566.403205181 1
 
0.1%
457548.630301151 1
 
0.1%
457496.033103979 1
 
0.1%
457493.558010308 1
 
0.1%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1407
Missing (%)100.0%
Memory size12.5 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1407
Missing (%)100.0%
Memory size12.5 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1407
Missing (%)100.0%
Memory size12.5 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1407
Missing (%)100.0%
Memory size12.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03070000PHMG11991307003404700000119910114<NA>1영업/정상13영업중<NA><NA><NA><NA>02-922-0017<NA><NA>서울특별시 성북구 동선동*가 ***번지 *호서울특별시 성북구 동소문로 ***, *층 (동선동*가, 골든타워)2829제일 메디칼2021-12-14 16:41:26U2021-12-16 02:40:00.0<NA>201539.704122454648.748426<NA><NA><NA><NA>
13070000PHMG11991307003404700000219910124<NA>1영업/정상13영업중<NA><NA><NA><NA>02-912-8888<NA>136802서울특별시 성북구 길음동 ***번지 **호서울특별시 성북구 동소문로 *** (길음동)2721성북콘택트렌즈2021-12-15 09:47:43U2021-12-17 02:40:00.0<NA>201905.866342455616.421898<NA><NA><NA><NA>
23070000PHMG11992307003404700000119920625<NA>3폐업3폐업20190520<NA><NA><NA>02-924-3214<NA><NA>서울특별시 성북구 안암동*가 *번지 서진빌라서울특별시 성북구 고려대로*길 ** (안암동*가, 서진빌라)2853성진양행2019-05-20 17:40:59U2019-05-22 02:40:00.0<NA>201853.327392453582.878415<NA><NA><NA><NA>
33070000PHMG1199330700340470000011993-07-08<NA>5제외/삭제/전출15전출<NA><NA><NA><NA>02-766-5497<NA><NA>서울특별시 성북구 안암동*가 **번지 **호 한국전기공사협회 서울중부회 사옥서울특별시 성북구 안암로 **, 한국전기공사협회 서울중부회 사옥 (안암동*가)2857(주)영인헬스케어2024-01-02 09:26:55U2023-12-01 00:04:00.0<NA>202134.07589453063.117494<NA><NA><NA><NA>
43070000PHMG11994307003404700000119940204<NA>3폐업3폐업20110613<NA><NA><NA>02-921-6611<NA><NA>서울특별시 성북구 종암동 **-**서울특별시 성북구 종암로 ** (종암동)2811(주)호일바이오메드2020-11-30 16:46:07U2020-12-02 02:40:00.0<NA>203078.937018454628.82182<NA><NA><NA><NA>
53070000PHMG11995307003404700000119950314<NA>4취소/말소/만료/정지/중지24직권폐업20120821<NA><NA><NA>02-917-2623<NA><NA>서울특별시 성북구 장위동 ***-*** 신안과의원서울특별시 성북구 장위로 ***, 신안과의원 (장위동)2746신콘택트렌즈2020-11-30 16:58:03U2020-12-02 02:40:00.0<NA>204222.35402456798.549508<NA><NA><NA><NA>
63070000PHMG11996307003404700000119960909<NA>1영업/정상13영업중<NA><NA><NA><NA>02-962-9111<NA>136816서울특별시 성북구 석관동 **번지 *호서울특별시 성북구 한천로 *** (석관동)2782(주)부국랩테크2021-12-14 15:28:48U2021-12-16 02:40:00.0<NA>205661.360935456274.787508<NA><NA><NA><NA>
73070000PHMG11997307003404700000119970218<NA>1영업/정상13영업중<NA><NA><NA><NA>02-919-8441<NA><NA>서울특별시 성북구 정릉동 **번지 **호서울특별시 성북구 정릉로**나길 ** (정릉동)2816삼부의료기상사2021-12-14 15:20:57U2021-12-16 02:40:00.0<NA>201692.594905455492.209373<NA><NA><NA><NA>
83070000PHMG11997307003404700000219970401<NA>3폐업3폐업20100119<NA><NA><NA>02-999-0561<NA><NA>서울특별시 성북구 안암동*가 **-* 경호빌딩서울특별시 성북구 안암로 **-*, 경호빌딩 (안암동*가)2857세창메디텍2020-11-30 17:01:04U2020-12-02 02:40:00.0<NA>202189.350012453134.354458<NA><NA><NA><NA>
93070000PHMG11998307003404700000119980516<NA>3폐업3폐업20100928<NA><NA><NA>02-965-0251<NA><NA>서울특별시 성북구 석관동 ***-* 신정빌딩서울특별시 성북구 화랑로 ***, 신정빌딩 (석관동)2783(주)진성메디텍2020-11-30 17:01:58U2020-12-02 02:40:00.0<NA>205083.452411456548.519057<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
13973070000PHMG1202430700340470000192024-03-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동*가 ***-*서울특별시 성북구 동소문로**마길 **, ***호 (동선동*가)2840주식회사 메디퀵2024-03-29 13:53:32I2023-12-02 21:01:00.0<NA>201839.811441454904.719322<NA><NA><NA><NA>
13983070000PHMG1202430700340470000202024-03-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동*가 ***-* 코아루센타시아서울특별시 성북구 동소문로**나길 **, 코아루센타시아 *층 ***호 (동선동*가)2845리리니뷰티뷰티끄2024-03-29 14:28:09I2023-12-02 21:01:00.0<NA>201623.097215454526.361323<NA><NA><NA><NA>
13993070000PHMG1202430700340470000212024-04-06<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8095-7040<NA><NA>서울특별시 성북구 종암동 **-* 삼성 래미안아파트서울특별시 성북구 종암로**길 **, ***동 ***호 (종암동, 삼성 래미안아파트)2803애니굿(any good)2024-04-08 11:53:04I2023-12-03 23:00:00.0<NA>202637.536724455541.762779<NA><NA><NA><NA>
14003070000PHMG1202430700340470000222020-10-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 **-***서울특별시 성북구 아리랑로**길 **, *층 ***호 (정릉동)2815주식회사 케이티엠상사2024-04-17 09:33:23I2023-12-03 22:00:00.0<NA>201310.903052455485.395017<NA><NA><NA><NA>
14013070000PHMG1202430700340470000232024-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 삼선동*가 **-*서울특별시 성북구 삼선교로**가길 **, ***호 (삼선동*가)2861코코 코리아2024-04-24 15:26:36I2023-12-03 22:06:00.0<NA>201044.454809454122.977731<NA><NA><NA><NA>
14023070000PHMG1202430700340470000242024-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 ***-** 현대빌리지서울특별시 성북구 북악산로*다길 **, ***호 (정릉동, 현대빌리지)2821성북동언니2024-04-26 13:44:57I2023-12-03 22:08:00.0<NA>200313.268324455169.887452<NA><NA><NA><NA>
14033070000PHMG1202430700340470000252018-10-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-494-9430<NA><NA>서울특별시 성북구 장위동 **-** H하우스 장위 **호서울특별시 성북구 화랑로 ***, *층 **호 (장위동, H하우스 장위)2776세진메디칼2024-04-26 16:35:54I2023-12-03 22:08:00.0<NA>205084.821647456622.144612<NA><NA><NA><NA>
14043070000PHMG1202430700340470000262024-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 하월곡동 **-*** 홍진빌딩서울특별시 성북구 오패산로*길 *, 홍진빌딩 *층 *호 (하월곡동)2740씨유(CU)월곡로타리점2024-04-30 14:03:08I2023-12-05 00:02:00.0<NA>203179.761557455705.210941<NA><NA><NA><NA>
14053070000PHMG1202430700340470000272024-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 하월곡동 **-*** 아이앤티(강북)서울특별시 성북구 종암로 ***-*, 아이앤티(강북) *층 (하월곡동)2739주식회사 도원팜2024-05-09 13:15:57I2023-12-04 23:01:00.0<NA>202723.927199455959.262626<NA><NA><NA><NA>
14063070000PHMG1202430700340470000282024-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 길음동 **-* 현대백화점미아점서울특별시 성북구 동소문로 ***, 현대백화점미아점 지하*층 (길음동)2730주식회사 랩지노믹스2024-05-09 15:15:56I2023-12-04 23:01:00.0<NA>202466.801085456227.571721<NA><NA><NA><NA>