Overview

Dataset statistics

Number of variables29
Number of observations1170
Missing cells11498
Missing cells (%)33.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory282.3 KiB
Average record size in memory247.1 B

Variable types

Categorical7
Text6
DateTime5
Numeric4
Unsupported7

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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-16438/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has constant value ""Constant
휴업시작일자 is highly imbalanced (99.0%)Imbalance
휴업종료일자 is highly imbalanced (99.0%)Imbalance
인허가취소일자 has 1168 (99.8%) missing valuesMissing
폐업일자 has 495 (42.3%) missing valuesMissing
재개업일자 has 1170 (100.0%) missing valuesMissing
전화번호 has 524 (44.8%) missing valuesMissing
소재지면적 has 1170 (100.0%) missing valuesMissing
소재지우편번호 has 699 (59.7%) missing valuesMissing
도로명주소 has 87 (7.4%) missing valuesMissing
도로명우편번호 has 161 (13.8%) missing valuesMissing
업태구분명 has 1170 (100.0%) missing valuesMissing
좌표정보(X) has 84 (7.2%) missing valuesMissing
좌표정보(Y) has 84 (7.2%) missing valuesMissing
수리대상 의료기기의 유형 has 1170 (100.0%) missing valuesMissing
다른 겸업 여부 has 1170 (100.0%) missing valuesMissing
총규모 has 1170 (100.0%) missing valuesMissing
영업규모 has 1170 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
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 04:27:29.440067
Analysis finished2024-05-11 04:27:32.125277
Duration2.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
3080000
1170 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 1170
100.0%

Length

2024-05-11T04:27:32.480806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:32.933714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 1170
100.0%

관리번호
Text

UNIQUE 

Distinct1170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2024-05-11T04:27:33.547388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters29250
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

Unique1170 ?
Unique (%)100.0%

Sample

1st rowPHMG119873080033047000001
2nd rowPHMG119903080033047000001
3rd rowPHMG119903080033047000002
4th rowPHMG119953080033047000001
5th rowPHMG119973080033047000001
ValueCountFrequency (%)
phmg119873080033047000001 1
 
0.1%
phmg120213080033047000097 1
 
0.1%
phmg120203080033047000079 1
 
0.1%
phmg120203080033047000078 1
 
0.1%
phmg120203080033047000077 1
 
0.1%
phmg120203080033047000076 1
 
0.1%
phmg120203080033047000075 1
 
0.1%
phmg120213080033047000003 1
 
0.1%
phmg120203080033047000074 1
 
0.1%
phmg120203080033047000072 1
 
0.1%
Other values (1160) 1160
99.1%
2024-05-11T04:27:34.605671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11021
37.7%
3 3920
 
13.4%
1 2305
 
7.9%
2 2167
 
7.4%
4 1539
 
5.3%
7 1409
 
4.8%
8 1401
 
4.8%
P 1170
 
4.0%
H 1170
 
4.0%
M 1170
 
4.0%
Other values (4) 1978
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24570
84.0%
Uppercase Letter 4680
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11021
44.9%
3 3920
 
16.0%
1 2305
 
9.4%
2 2167
 
8.8%
4 1539
 
6.3%
7 1409
 
5.7%
8 1401
 
5.7%
5 299
 
1.2%
9 260
 
1.1%
6 249
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
P 1170
25.0%
H 1170
25.0%
M 1170
25.0%
G 1170
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24570
84.0%
Latin 4680
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11021
44.9%
3 3920
 
16.0%
1 2305
 
9.4%
2 2167
 
8.8%
4 1539
 
6.3%
7 1409
 
5.7%
8 1401
 
5.7%
5 299
 
1.2%
9 260
 
1.1%
6 249
 
1.0%
Latin
ValueCountFrequency (%)
P 1170
25.0%
H 1170
25.0%
M 1170
25.0%
G 1170
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11021
37.7%
3 3920
 
13.4%
1 2305
 
7.9%
2 2167
 
7.4%
4 1539
 
5.3%
7 1409
 
4.8%
8 1401
 
4.8%
P 1170
 
4.0%
H 1170
 
4.0%
M 1170
 
4.0%
Other values (4) 1978
 
6.8%

인허가일자
Date

Distinct929
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
Minimum1987-04-16 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T04:27:35.043020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:27:35.541139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing1168
Missing (%)99.8%
Memory size9.3 KiB
Minimum2023-06-29 00:00:00
Maximum2023-06-29 00:00:00
2024-05-11T04:27:35.786382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:27:35.994433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

영업상태코드
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
3
636 
1
470 
4
 
39
5
 
24
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 636
54.4%
1 470
40.2%
4 39
 
3.3%
5 24
 
2.1%
2 1
 
0.1%

Length

2024-05-11T04:27:36.363343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:36.813056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 636
54.4%
1 470
40.2%
4 39
 
3.3%
5 24
 
2.1%
2 1
 
0.1%

영업상태명
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
폐업
636 
영업/정상
470 
취소/말소/만료/정지/중지
 
39
제외/삭제/전출
 
24
휴업
 
1

Length

Max length14
Median length2
Mean length3.7282051
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 636
54.4%
영업/정상 470
40.2%
취소/말소/만료/정지/중지 39
 
3.3%
제외/삭제/전출 24
 
2.1%
휴업 1
 
0.1%

Length

2024-05-11T04:27:37.212065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:37.586629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 636
54.4%
영업/정상 470
40.2%
취소/말소/만료/정지/중지 39
 
3.3%
제외/삭제/전출 24
 
2.1%
휴업 1
 
0.1%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1059829
Minimum2
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-05-11T04:27:37.925456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median3
Q313
95-th percentile15
Maximum99
Range97
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.8776959
Coefficient of variation (CV)0.84847156
Kurtosis50.696305
Mean8.1059829
Median Absolute Deviation (MAD)0
Skewness4.3087554
Sum9484
Variance47.302702
MonotonicityNot monotonic
2024-05-11T04:27:38.287506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 636
54.4%
13 470
40.2%
24 39
 
3.3%
15 22
 
1.9%
99 2
 
0.2%
2 1
 
0.1%
ValueCountFrequency (%)
2 1
 
0.1%
3 636
54.4%
13 470
40.2%
15 22
 
1.9%
24 39
 
3.3%
99 2
 
0.2%
ValueCountFrequency (%)
99 2
 
0.2%
24 39
 
3.3%
15 22
 
1.9%
13 470
40.2%
3 636
54.4%
2 1
 
0.1%

상세영업상태명
Categorical

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
폐업
636 
영업중
470 
직권폐업
 
39
전출
 
22
삭제
 
2

Length

Max length4
Median length2
Mean length2.4683761
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 636
54.4%
영업중 470
40.2%
직권폐업 39
 
3.3%
전출 22
 
1.9%
삭제 2
 
0.2%
휴업 1
 
0.1%

Length

2024-05-11T04:27:38.724411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:39.110048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 636
54.4%
영업중 470
40.2%
직권폐업 39
 
3.3%
전출 22
 
1.9%
삭제 2
 
0.2%
휴업 1
 
0.1%

폐업일자
Date

MISSING 

Distinct515
Distinct (%)76.3%
Missing495
Missing (%)42.3%
Memory size9.3 KiB
Minimum2008-04-28 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T04:27:39.523540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:27:40.316488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
<NA>
1169 
20200625
 
1

Length

Max length8
Median length4
Mean length4.0034188
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1169
99.9%
20200625 1
 
0.1%

Length

2024-05-11T04:27:41.090887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:41.646123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1169
99.9%
20200625 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
<NA>
1169 
20210624
 
1

Length

Max length8
Median length4
Mean length4.0034188
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1169
99.9%
20210624 1
 
0.1%

Length

2024-05-11T04:27:42.298564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:42.698698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1169
99.9%
20210624 1
 
0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1170
Missing (%)100.0%
Memory size10.4 KiB

전화번호
Text

MISSING 

Distinct598
Distinct (%)92.6%
Missing524
Missing (%)44.8%
Memory size9.3 KiB
2024-05-11T04:27:43.420620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.2089783
Min length2

Characters and Unicode

Total characters5949
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique558 ?
Unique (%)86.4%

Sample

1st row02-982-7471
2nd row02-989-6043
3rd row02-989-9284
4th row02-907-4551
5th row02-986-2007
ValueCountFrequency (%)
02 11
 
1.7%
7
 
1.1%
904-7282 3
 
0.5%
070-4617-3443 3
 
0.5%
991-7790 3
 
0.5%
900-3116 2
 
0.3%
364-4848 2
 
0.3%
989-7400 2
 
0.3%
989-7588 2
 
0.3%
6092-2399 2
 
0.3%
Other values (589) 620
94.4%
2024-05-11T04:27:44.638172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 912
15.3%
- 849
14.3%
0 790
13.3%
8 562
9.4%
2 545
9.2%
7 442
7.4%
5 430
7.2%
4 427
7.2%
1 347
 
5.8%
3 327
 
5.5%
Other values (4) 318
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5087
85.5%
Dash Punctuation 849
 
14.3%
Space Separator 11
 
0.2%
Close Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 912
17.9%
0 790
15.5%
8 562
11.0%
2 545
10.7%
7 442
8.7%
5 430
8.5%
4 427
8.4%
1 347
 
6.8%
3 327
 
6.4%
6 305
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 849
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5949
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 912
15.3%
- 849
14.3%
0 790
13.3%
8 562
9.4%
2 545
9.2%
7 442
7.4%
5 430
7.2%
4 427
7.2%
1 347
 
5.8%
3 327
 
5.5%
Other values (4) 318
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5949
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 912
15.3%
- 849
14.3%
0 790
13.3%
8 562
9.4%
2 545
9.2%
7 442
7.4%
5 430
7.2%
4 427
7.2%
1 347
 
5.8%
3 327
 
5.5%
Other values (4) 318
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1170
Missing (%)100.0%
Memory size10.4 KiB

소재지우편번호
Text

MISSING 

Distinct79
Distinct (%)16.8%
Missing699
Missing (%)59.7%
Memory size9.3 KiB
2024-05-11T04:27:45.465395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0169851
Min length6

Characters and Unicode

Total characters2834
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

Unique19 ?
Unique (%)4.0%

Sample

1st row142810
2nd row142807
3rd row142805
4th row142878
5th row142105
ValueCountFrequency (%)
142100 30
 
6.4%
142070 25
 
5.3%
142877 23
 
4.9%
142872 22
 
4.7%
142876 21
 
4.5%
142874 19
 
4.0%
142864 17
 
3.6%
142810 16
 
3.4%
142805 15
 
3.2%
142867 14
 
3.0%
Other values (69) 269
57.1%
2024-05-11T04:27:46.794092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 596
21.0%
4 532
18.8%
2 532
18.8%
8 449
15.8%
7 249
8.8%
0 246
8.7%
6 112
 
4.0%
3 44
 
1.6%
5 41
 
1.4%
9 25
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2826
99.7%
Dash Punctuation 8
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 596
21.1%
4 532
18.8%
2 532
18.8%
8 449
15.9%
7 249
8.8%
0 246
8.7%
6 112
 
4.0%
3 44
 
1.6%
5 41
 
1.5%
9 25
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2834
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 596
21.0%
4 532
18.8%
2 532
18.8%
8 449
15.8%
7 249
8.8%
0 246
8.7%
6 112
 
4.0%
3 44
 
1.6%
5 41
 
1.4%
9 25
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2834
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 596
21.0%
4 532
18.8%
2 532
18.8%
8 449
15.8%
7 249
8.8%
0 246
8.7%
6 112
 
4.0%
3 44
 
1.6%
5 41
 
1.4%
9 25
 
0.9%

지번주소
Text

Distinct588
Distinct (%)50.5%
Missing6
Missing (%)0.5%
Memory size9.3 KiB
2024-05-11T04:27:47.474170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length25.554983
Min length14

Characters and Unicode

Total characters29746
Distinct characters278
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

Unique438 ?
Unique (%)37.6%

Sample

1st row서울특별시 강북구 미아*동 ***-**
2nd row서울특별시 강북구 미아*동 ***-**
3rd row서울특별시 강북구 미아*동 ***-***
4th row서울특별시 강북구 수유*동 ***-**
5th row서울특별시 강북구 미아*동 ***-**
ValueCountFrequency (%)
서울특별시 1165
18.7%
강북구 1164
18.7%
호 730
11.7%
번지 603
9.7%
495
7.9%
수유동 366
 
5.9%
미아동 357
 
5.7%
층 279
 
4.5%
번동 140
 
2.2%
수유*동 119
 
1.9%
Other values (333) 821
13.2%
2024-05-11T04:27:48.952019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 6306
21.2%
5095
17.1%
동 1227
 
4.1%
북 1193
 
4.0%
시 1184
 
4.0%
강 1171
 
3.9%
서 1168
 
3.9%
별 1166
 
3.9%
울 1166
 
3.9%
특 1165
 
3.9%
Other values (268) 8905
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17504
58.8%
Other Punctuation 6345
 
21.3%
Space Separator 5095
 
17.1%
Dash Punctuation 532
 
1.8%
Decimal Number 86
 
0.3%
Uppercase Letter 81
 
0.3%
Open Punctuation 47
 
0.2%
Close Punctuation 47
 
0.2%
Lowercase Letter 8
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1227
 
7.0%
북 1193
 
6.8%
시 1184
 
6.8%
강 1171
 
6.7%
서 1168
 
6.7%
별 1166
 
6.7%
울 1166
 
6.7%
특 1165
 
6.7%
구 1164
 
6.6%
번 807
 
4.6%
Other values (228) 6093
34.8%
Uppercase Letter
ValueCountFrequency (%)
B 21
25.9%
A 16
19.8%
K 11
13.6%
S 10
12.3%
R 4
 
4.9%
O 3
 
3.7%
D 3
 
3.7%
L 2
 
2.5%
G 2
 
2.5%
E 2
 
2.5%
Other values (5) 7
 
8.6%
Decimal Number
ValueCountFrequency (%)
1 14
16.3%
0 11
12.8%
3 11
12.8%
2 10
11.6%
4 10
11.6%
6 9
10.5%
7 8
9.3%
8 7
8.1%
5 4
 
4.7%
9 2
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
l 2
25.0%
g 1
12.5%
a 1
12.5%
s 1
12.5%
e 1
12.5%
o 1
12.5%
n 1
12.5%
Other Punctuation
ValueCountFrequency (%)
* 6306
99.4%
, 37
 
0.6%
/ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5095
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 532
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17504
58.8%
Common 12153
40.9%
Latin 89
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1227
 
7.0%
북 1193
 
6.8%
시 1184
 
6.8%
강 1171
 
6.7%
서 1168
 
6.7%
별 1166
 
6.7%
울 1166
 
6.7%
특 1165
 
6.7%
구 1164
 
6.6%
번 807
 
4.6%
Other values (228) 6093
34.8%
Latin
ValueCountFrequency (%)
B 21
23.6%
A 16
18.0%
K 11
12.4%
S 10
11.2%
R 4
 
4.5%
O 3
 
3.4%
D 3
 
3.4%
L 2
 
2.2%
G 2
 
2.2%
E 2
 
2.2%
Other values (12) 15
16.9%
Common
ValueCountFrequency (%)
* 6306
51.9%
5095
41.9%
- 532
 
4.4%
( 47
 
0.4%
) 47
 
0.4%
, 37
 
0.3%
1 14
 
0.1%
0 11
 
0.1%
3 11
 
0.1%
2 10
 
0.1%
Other values (8) 43
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17504
58.8%
ASCII 12242
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 6306
51.5%
5095
41.6%
- 532
 
4.3%
( 47
 
0.4%
) 47
 
0.4%
, 37
 
0.3%
B 21
 
0.2%
A 16
 
0.1%
1 14
 
0.1%
0 11
 
0.1%
Other values (30) 116
 
0.9%
Hangul
ValueCountFrequency (%)
동 1227
 
7.0%
북 1193
 
6.8%
시 1184
 
6.8%
강 1171
 
6.7%
서 1168
 
6.7%
별 1166
 
6.7%
울 1166
 
6.7%
특 1165
 
6.7%
구 1164
 
6.6%
번 807
 
4.6%
Other values (228) 6093
34.8%

도로명주소
Text

MISSING 

Distinct673
Distinct (%)62.1%
Missing87
Missing (%)7.4%
Memory size9.3 KiB
2024-05-11T04:27:49.775942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length31.76639
Min length21

Characters and Unicode

Total characters34403
Distinct characters294
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

Unique531 ?
Unique (%)49.0%

Sample

1st row서울특별시 강북구 삼양로 *** (미아동)
2nd row서울특별시 강북구 도봉로 *** (수유동)
3rd row서울특별시 강북구 한천로 **** (수유동)
4th row서울특별시 강북구 삼양로***길 ** (수유동)
5th row서울특별시 강북구 인수봉로 ***, 지층 (수유동)
ValueCountFrequency (%)
서울특별시 1083
15.7%
강북구 1081
15.7%
1045
15.1%
층 486
 
7.0%
수유동 430
 
6.2%
미아동 411
 
6.0%
호 319
 
4.6%
도봉로 242
 
3.5%
번동 173
 
2.5%
도봉로**길 107
 
1.5%
Other values (425) 1530
22.2%
2024-05-11T04:27:51.680100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5827
16.9%
* 5609
 
16.3%
동 1185
 
3.4%
북 1112
 
3.2%
시 1102
 
3.2%
( 1091
 
3.2%
) 1091
 
3.2%
강 1089
 
3.2%
서 1087
 
3.2%
로 1086
 
3.2%
Other values (284) 14124
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19314
56.1%
Other Punctuation 6693
 
19.5%
Space Separator 5827
 
16.9%
Open Punctuation 1091
 
3.2%
Close Punctuation 1091
 
3.2%
Dash Punctuation 154
 
0.4%
Decimal Number 109
 
0.3%
Uppercase Letter 104
 
0.3%
Lowercase Letter 18
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1185
 
6.1%
북 1112
 
5.8%
시 1102
 
5.7%
강 1089
 
5.6%
서 1087
 
5.6%
로 1086
 
5.6%
별 1085
 
5.6%
울 1084
 
5.6%
특 1083
 
5.6%
구 1081
 
5.6%
Other values (242) 8320
43.1%
Uppercase Letter
ValueCountFrequency (%)
B 25
24.0%
A 21
20.2%
R 11
10.6%
K 11
10.6%
S 10
 
9.6%
D 4
 
3.8%
C 4
 
3.8%
P 4
 
3.8%
O 3
 
2.9%
L 3
 
2.9%
Other values (6) 8
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 30
27.5%
2 18
16.5%
4 17
15.6%
3 15
13.8%
0 11
 
10.1%
6 7
 
6.4%
9 6
 
5.5%
7 3
 
2.8%
8 2
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
c 3
16.7%
n 2
11.1%
o 2
11.1%
g 2
11.1%
l 2
11.1%
e 2
11.1%
s 2
11.1%
a 2
11.1%
j 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
* 5609
83.8%
, 1072
 
16.0%
. 12
 
0.2%
Space Separator
ValueCountFrequency (%)
5827
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1091
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1091
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 154
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19314
56.1%
Common 14967
43.5%
Latin 122
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1185
 
6.1%
북 1112
 
5.8%
시 1102
 
5.7%
강 1089
 
5.6%
서 1087
 
5.6%
로 1086
 
5.6%
별 1085
 
5.6%
울 1084
 
5.6%
특 1083
 
5.6%
구 1081
 
5.6%
Other values (242) 8320
43.1%
Latin
ValueCountFrequency (%)
B 25
20.5%
A 21
17.2%
R 11
9.0%
K 11
9.0%
S 10
 
8.2%
D 4
 
3.3%
C 4
 
3.3%
P 4
 
3.3%
O 3
 
2.5%
L 3
 
2.5%
Other values (15) 26
21.3%
Common
ValueCountFrequency (%)
5827
38.9%
* 5609
37.5%
( 1091
 
7.3%
) 1091
 
7.3%
, 1072
 
7.2%
- 154
 
1.0%
1 30
 
0.2%
2 18
 
0.1%
4 17
 
0.1%
3 15
 
0.1%
Other values (7) 43
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19314
56.1%
ASCII 15089
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5827
38.6%
* 5609
37.2%
( 1091
 
7.2%
) 1091
 
7.2%
, 1072
 
7.1%
- 154
 
1.0%
1 30
 
0.2%
B 25
 
0.2%
A 21
 
0.1%
2 18
 
0.1%
Other values (32) 151
 
1.0%
Hangul
ValueCountFrequency (%)
동 1185
 
6.1%
북 1112
 
5.8%
시 1102
 
5.7%
강 1089
 
5.6%
서 1087
 
5.6%
로 1086
 
5.6%
별 1085
 
5.6%
울 1084
 
5.6%
특 1083
 
5.6%
구 1081
 
5.6%
Other values (242) 8320
43.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct234
Distinct (%)23.2%
Missing161
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean20059.077
Minimum1002
Maximum142890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-05-11T04:27:52.326971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1002
5-th percentile1029
Q11064
median1127
Q31201
95-th percentile142860
Maximum142890
Range141888
Interquartile range (IQR)137

Descriptive statistics

Standard deviation48221.325
Coefficient of variation (CV)2.4039653
Kurtosis2.6476986
Mean20059.077
Median Absolute Deviation (MAD)65
Skewness2.1546226
Sum20239609
Variance2.3252962 × 109
MonotonicityNot monotonic
2024-05-11T04:27:52.898280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1062 36
 
3.1%
1054 26
 
2.2%
1070 25
 
2.1%
1161 25
 
2.1%
1113 20
 
1.7%
1215 15
 
1.3%
1170 15
 
1.3%
1073 14
 
1.2%
1114 14
 
1.2%
142100 13
 
1.1%
Other values (224) 806
68.9%
(Missing) 161
 
13.8%
ValueCountFrequency (%)
1002 6
0.5%
1004 4
0.3%
1006 4
0.3%
1009 2
 
0.2%
1010 2
 
0.2%
1011 2
 
0.2%
1012 2
 
0.2%
1014 5
0.4%
1015 1
 
0.1%
1017 2
 
0.2%
ValueCountFrequency (%)
142890 1
 
0.1%
142888 5
0.4%
142886 2
 
0.2%
142879 4
0.3%
142878 1
 
0.1%
142877 6
0.5%
142876 9
0.8%
142875 3
 
0.3%
142874 4
0.3%
142873 1
 
0.1%

사업장명
Text

Distinct1106
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2024-05-11T04:27:53.581501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length7.6521368
Min length2

Characters and Unicode

Total characters8953
Distinct characters547
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1050 ?
Unique (%)89.7%

Sample

1st row㈜기정과학
2nd row신인선로콘택트렌즈
3rd row조성환콘택트렌즈
4th row종로의료기상사
5th row그린의료기
ValueCountFrequency (%)
주식회사 34
 
2.4%
주)코리아세븐 33
 
2.4%
씨유 11
 
0.8%
gs25 10
 
0.7%
세븐일레븐 9
 
0.6%
주)아성다이소 7
 
0.5%
미아점 6
 
0.4%
신신의료기 4
 
0.3%
care 4
 
0.3%
수유점 4
 
0.3%
Other values (1176) 1275
91.3%
2024-05-11T04:27:55.018976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 362
 
4.0%
아 257
 
2.9%
이 253
 
2.8%
227
 
2.5%
스 217
 
2.4%
유 217
 
2.4%
( 207
 
2.3%
) 206
 
2.3%
주 192
 
2.1%
리 183
 
2.0%
Other values (537) 6632
74.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7507
83.8%
Uppercase Letter 364
 
4.1%
Space Separator 227
 
2.5%
Decimal Number 211
 
2.4%
Open Punctuation 207
 
2.3%
Close Punctuation 206
 
2.3%
Lowercase Letter 179
 
2.0%
Other Punctuation 22
 
0.2%
Other Symbol 20
 
0.2%
Dash Punctuation 7
 
0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 362
 
4.8%
아 257
 
3.4%
이 253
 
3.4%
스 217
 
2.9%
유 217
 
2.9%
주 192
 
2.6%
리 183
 
2.4%
디 176
 
2.3%
메 167
 
2.2%
수 145
 
1.9%
Other values (474) 5338
71.1%
Uppercase Letter
ValueCountFrequency (%)
S 71
19.5%
G 67
18.4%
C 49
13.5%
U 29
8.0%
M 18
 
4.9%
D 15
 
4.1%
T 14
 
3.8%
B 14
 
3.8%
H 12
 
3.3%
K 10
 
2.7%
Other values (13) 65
17.9%
Lowercase Letter
ValueCountFrequency (%)
e 26
14.5%
a 19
10.6%
i 15
 
8.4%
o 14
 
7.8%
r 13
 
7.3%
m 11
 
6.1%
n 11
 
6.1%
t 10
 
5.6%
l 10
 
5.6%
c 8
 
4.5%
Other values (11) 42
23.5%
Decimal Number
ValueCountFrequency (%)
2 85
40.3%
5 71
33.6%
1 17
 
8.1%
4 10
 
4.7%
3 7
 
3.3%
9 6
 
2.8%
6 5
 
2.4%
7 5
 
2.4%
0 3
 
1.4%
8 2
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 16
72.7%
& 6
 
27.3%
Space Separator
ValueCountFrequency (%)
227
100.0%
Open Punctuation
ValueCountFrequency (%)
( 207
100.0%
Close Punctuation
ValueCountFrequency (%)
) 206
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7527
84.1%
Common 883
 
9.9%
Latin 543
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 362
 
4.8%
아 257
 
3.4%
이 253
 
3.4%
스 217
 
2.9%
유 217
 
2.9%
주 192
 
2.6%
리 183
 
2.4%
디 176
 
2.3%
메 167
 
2.2%
수 145
 
1.9%
Other values (475) 5358
71.2%
Latin
ValueCountFrequency (%)
S 71
 
13.1%
G 67
 
12.3%
C 49
 
9.0%
U 29
 
5.3%
e 26
 
4.8%
a 19
 
3.5%
M 18
 
3.3%
D 15
 
2.8%
i 15
 
2.8%
T 14
 
2.6%
Other values (34) 220
40.5%
Common
ValueCountFrequency (%)
227
25.7%
( 207
23.4%
) 206
23.3%
2 85
 
9.6%
5 71
 
8.0%
1 17
 
1.9%
. 16
 
1.8%
4 10
 
1.1%
- 7
 
0.8%
3 7
 
0.8%
Other values (8) 30
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7507
83.8%
ASCII 1426
 
15.9%
None 20
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 362
 
4.8%
아 257
 
3.4%
이 253
 
3.4%
스 217
 
2.9%
유 217
 
2.9%
주 192
 
2.6%
리 183
 
2.4%
디 176
 
2.3%
메 167
 
2.2%
수 145
 
1.9%
Other values (474) 5338
71.1%
ASCII
ValueCountFrequency (%)
227
15.9%
( 207
14.5%
) 206
14.4%
2 85
 
6.0%
5 71
 
5.0%
S 71
 
5.0%
G 67
 
4.7%
C 49
 
3.4%
U 29
 
2.0%
e 26
 
1.8%
Other values (52) 388
27.2%
None
ValueCountFrequency (%)
㈜ 20
100.0%

최종수정일자
Date

UNIQUE 

Distinct1170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
Minimum2009-03-24 09:21:50
Maximum2024-05-09 17:04:33
2024-05-11T04:27:55.635880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:27:56.155035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
I
721 
U
448 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 721
61.6%
U 448
38.3%
D 1
 
0.1%

Length

2024-05-11T04:27:56.804796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:27:57.257351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 721
61.6%
u 448
38.3%
d 1
 
0.1%

데이터갱신일자
Date

Distinct451
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T04:27:57.780238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:27:58.468541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1170
Missing (%)100.0%
Memory size10.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct676
Distinct (%)62.2%
Missing84
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean202030.55
Minimum200374.47
Maximum204157.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-05-11T04:27:59.109943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200374.47
5-th percentile201045.61
Q1201606.45
median202032.76
Q3202415.49
95-th percentile203040.29
Maximum204157.84
Range3783.3745
Interquartile range (IQR)809.04377

Descriptive statistics

Standard deviation617.45669
Coefficient of variation (CV)0.0030562541
Kurtosis0.65351223
Mean202030.55
Median Absolute Deviation (MAD)409.59334
Skewness0.33298551
Sum2.1940517 × 108
Variance381252.77
MonotonicityNot monotonic
2024-05-11T04:27:59.666258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202155.401317068 21
 
1.8%
202443.441398401 20
 
1.7%
202376.010239172 17
 
1.5%
202625.646264572 16
 
1.4%
202032.757631932 13
 
1.1%
201606.445832012 13
 
1.1%
201942.872328818 12
 
1.0%
202228.431717714 11
 
0.9%
202317.064607714 11
 
0.9%
201505.406518175 11
 
0.9%
Other values (666) 941
80.4%
(Missing) 84
 
7.2%
ValueCountFrequency (%)
200374.469022465 2
0.2%
200500.130999999 1
0.1%
200507.690201067 1
0.1%
200540.026077316 1
0.1%
200690.565495059 1
0.1%
200711.739853827 1
0.1%
200715.402705655 1
0.1%
200717.959747531 1
0.1%
200720.783541799 1
0.1%
200760.093518904 1
0.1%
ValueCountFrequency (%)
204157.843492258 1
 
0.1%
204089.673173372 2
 
0.2%
203981.35 1
 
0.1%
203975.790220599 1
 
0.1%
203932.991517795 2
 
0.2%
203925.656163218 1
 
0.1%
203821.073410934 1
 
0.1%
203814.278981001 1
 
0.1%
203812.72109062 1
 
0.1%
203784.358132827 7
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct677
Distinct (%)62.3%
Missing84
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean458817.06
Minimum456360.43
Maximum462286.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-05-11T04:28:00.414014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456360.43
5-th percentile456894.7
Q1457764.99
median458962.16
Q3459775.39
95-th percentile460544.42
Maximum462286.72
Range5926.2915
Interquartile range (IQR)2010.4074

Descriptive statistics

Standard deviation1168.7283
Coefficient of variation (CV)0.0025472642
Kurtosis-0.68522801
Mean458817.06
Median Absolute Deviation (MAD)876.00282
Skewness-0.024931716
Sum4.9827533 × 108
Variance1365925.8
MonotonicityNot monotonic
2024-05-11T04:28:01.041292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
459411.940883021 21
 
1.8%
457708.146944977 20
 
1.7%
459778.715958017 17
 
1.5%
456875.973976242 16
 
1.4%
459259.443978524 13
 
1.1%
459046.125539538 12
 
1.0%
460001.632075829 12
 
1.0%
458158.105668456 11
 
0.9%
459590.573498344 11
 
0.9%
458926.401526974 11
 
0.9%
Other values (667) 942
80.5%
(Missing) 84
 
7.2%
ValueCountFrequency (%)
456360.433254943 3
0.3%
456402.681578677 1
 
0.1%
456442.951197483 2
0.2%
456449.379330053 1
 
0.1%
456473.886142136 2
0.2%
456495.652435006 1
 
0.1%
456518.970116588 1
 
0.1%
456644.24633659 1
 
0.1%
456669.230885154 1
 
0.1%
456672.933471884 1
 
0.1%
ValueCountFrequency (%)
462286.724762047 2
0.2%
462226.287725886 1
0.1%
462117.378516051 1
0.1%
462094.995937209 1
0.1%
462086.374584694 1
0.1%
462078.868715746 1
0.1%
462072.887842384 1
0.1%
461907.234796426 1
0.1%
461818.191047424 1
0.1%
461497.076608921 2
0.2%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1170
Missing (%)100.0%
Memory size10.4 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1170
Missing (%)100.0%
Memory size10.4 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1170
Missing (%)100.0%
Memory size10.4 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1170
Missing (%)100.0%
Memory size10.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03080000PHMG11987308003304700000119870416<NA>3폐업3폐업20101021<NA><NA><NA>02-982-7471<NA>142810서울특별시 강북구 미아*동 ***-**<NA><NA>㈜기정과학2010-10-22 09:21:12I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
13080000PHMG11990308003304700000119900823<NA>3폐업3폐업20091026<NA><NA><NA>02-989-6043<NA>142807서울특별시 강북구 미아*동 ***-**<NA><NA>신인선로콘택트렌즈2011-11-17 16:31:02I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
23080000PHMG11990308003304700000219900823<NA>3폐업3폐업20100422<NA><NA><NA>02-989-9284<NA>142805서울특별시 강북구 미아*동 ***-***<NA><NA>조성환콘택트렌즈2010-04-23 11:05:55I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
33080000PHMG11995308003304700000119951227<NA>3폐업3폐업20101011<NA><NA><NA>02-907-4551<NA>142878서울특별시 강북구 수유*동 ***-**<NA><NA>종로의료기상사2010-10-12 09:20:58I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
43080000PHMG11997308003304700000119971203<NA>3폐업3폐업20161122<NA><NA><NA>02-986-2007<NA>142105서울특별시 강북구 미아*동 ***-**서울특별시 강북구 삼양로 *** (미아동)1201그린의료기2016-12-16 16:05:05I2018-08-31 23:59:59.0<NA>201839.425462457342.214452<NA><NA><NA><NA>
53080000PHMG11998308003304700000119980625<NA>1영업/정상13영업중<NA><NA><NA><NA>02-982-1110<NA>142874서울특별시 강북구 수유동 **번지 *호서울특별시 강북구 도봉로 *** (수유동)1114필립의료기2020-08-27 16:45:07U2020-08-29 02:40:00.0<NA>201993.396014458896.739003<NA><NA><NA><NA>
63080000PHMG11998308003304700000219980902<NA>3폐업3폐업20081001<NA><NA><NA>02-990-2877<NA>142888서울특별시 강북구 수유*동 ***-** (지층)<NA><NA>㈜한국미연2014-01-21 09:26:46I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
73080000PHMG11999308003304700000119990612<NA>3폐업3폐업20081124<NA><NA><NA>02-981-0803<NA>142805서울특별시 강북구 미아*동 **-**<NA><NA>크리스탈콘택트렌즈2014-01-21 09:22:17I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA>
83080000PHMG12000308003304700000120000812<NA>3폐업3폐업20111122<NA><NA><NA>02-998-6808<NA>142876서울특별시 강북구 수유*동 ***번지 **호 *층서울특별시 강북구 한천로 **** (수유동)142876㈜해달테크2014-01-21 09:20:27I2018-08-31 23:59:59.0<NA>202138.907837459921.911082<NA><NA><NA><NA>
93080000PHMG12000308003304700000220001204<NA>3폐업3폐업20180517<NA><NA><NA>02-902-4271<NA>142877서울특별시 강북구 수유*동 ***-**서울특별시 강북구 삼양로***길 ** (수유동)1040우림메디테크2018-05-17 16:42:56I2018-08-31 23:59:59.0<NA>201520.873854460210.433895<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
11603080000PHMG1202430800330470000082024-02-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-**서울특별시 강북구 한천로***길 **, *층 (수유동)1070한국화장품 우이대리점2024-02-16 16:02:29I2023-12-01 23:08:00.0<NA>202110.790856459836.158355<NA><NA><NA><NA>
11613080000PHMG1202430800330470000092021-02-17<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4255-9181<NA><NA>서울특별시 강북구 미아동 ***-**** 주일빌라서울특별시 강북구 삼양로**길 **, B동 ***호 (미아동, 주일빌라)1185플러스과학2024-02-23 13:07:28I2023-12-01 22:05:00.0<NA>201331.624949457693.561129<NA><NA><NA><NA>
11623080000PHMG1202430800330470000102024-03-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-989-0013<NA><NA>서울특별시 강북구 미아동 ***-**서울특별시 강북구 도봉로**길 **, *층 (미아동)1171코콤 북부광역센터2024-03-12 10:49:24I2023-12-02 23:04:00.0<NA>202226.247212457762.848153<NA><NA><NA><NA>
11633080000PHMG1202430800330470000112024-03-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-****서울특별시 강북구 삼양로**길 ** (미아동)1185질러들의 쇼핑몰2024-03-15 10:26:34I2023-12-02 23:07:00.0<NA>201297.521581457721.627791<NA><NA><NA><NA>
11643080000PHMG1202430800330470000122024-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-**서울특별시 강북구 도봉로**길 **, *층 (미아동)1175씨유 미아행운점2024-03-28 13:36:13I2023-12-02 21:00:00.0<NA>202341.130589457704.312834<NA><NA><NA><NA>
11653080000PHMG1202430800330470000132024-04-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-** 윤성빌딩서울특별시 강북구 도봉로**길 *, 윤성빌딩 *층 (수유동)1074주식회사 모두에프앤비2024-04-02 09:05:43I2023-12-04 00:04:00.0<NA>202214.822687459608.75632<NA><NA><NA><NA>
11663080000PHMG1202430800330470000142024-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-**서울특별시 강북구 삼양로**나길 **, *층 (미아동)1203라이프티앤티2024-04-25 09:53:08I2023-12-03 22:07:00.0<NA>202029.499661457110.793171<NA><NA><NA><NA>
11673080000PHMG1202430800330470000152024-04-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 **-**서울특별시 강북구 도봉로**길 **, *층 (수유동)1081대한의료기복지용구2024-04-29 17:46:07I2023-12-05 00:01:00.0<NA>201908.183643459208.201142<NA><NA><NA><NA>
11683080000PHMG1202430800330470000162024-05-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ****-* 금강빌딩서울특별시 강북구 삼양로**길 ***, 금강빌딩 (미아동)1193(주)코리아세븐 삼각산SK점2024-05-03 13:56:52I2023-12-05 00:05:00.0<NA>201293.723872457479.348899<NA><NA><NA><NA>
11693080000PHMG1202430800330470000172024-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 **** 꿈의숲 한신더휴서울특별시 강북구 오패산로 ***, ***동 ***호 (미아동, 꿈의숲 한신더휴)1156호실 홀딩스2024-05-08 13:11:04I2023-12-04 23:01:00.0<NA>202845.574609457603.540344<NA><NA><NA><NA>