Overview

Dataset statistics

Number of variables29
Number of observations47
Missing cells552
Missing cells (%)40.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.5 KiB
Average record size in memory250.8 B

Variable types

Categorical6
Text6
DateTime4
Unsupported10
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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-16416/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 47 (100.0%) missing valuesMissing
폐업일자 has 29 (61.7%) missing valuesMissing
휴업시작일자 has 47 (100.0%) missing valuesMissing
휴업종료일자 has 47 (100.0%) missing valuesMissing
재개업일자 has 47 (100.0%) missing valuesMissing
전화번호 has 14 (29.8%) missing valuesMissing
소재지면적 has 47 (100.0%) missing valuesMissing
소재지우편번호 has 24 (51.1%) missing valuesMissing
지번주소 has 7 (14.9%) missing valuesMissing
도로명주소 has 1 (2.1%) missing valuesMissing
도로명우편번호 has 5 (10.6%) missing valuesMissing
업태구분명 has 47 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.1%) missing valuesMissing
좌표정보(Y) has 1 (2.1%) missing valuesMissing
수리대상 의료기기의 유형 has 47 (100.0%) missing valuesMissing
다른 겸업 여부 has 47 (100.0%) missing valuesMissing
총규모 has 47 (100.0%) missing valuesMissing
영업규모 has 47 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 06:37:56.053206
Analysis finished2024-05-11 06:37:56.527680
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
3100000
47 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 47
100.0%

Length

2024-05-11T15:37:56.593066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:37:56.695252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 47
100.0%

관리번호
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-05-11T15:37:56.892455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1175
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

Unique47 ?
Unique (%)100.0%

Sample

1st rowPHMG319983100034047400001
2nd rowPHMG320083100034047400001
3rd rowPHMG320093100034047400001
4th rowPHMG320093100034047400002
5th rowPHMG320103100034047400001
ValueCountFrequency (%)
phmg319983100034047400001 1
 
2.1%
phmg320143100034047400004 1
 
2.1%
phmg320143100034047400006 1
 
2.1%
phmg320143100034047400007 1
 
2.1%
phmg320143100034047400008 1
 
2.1%
phmg320153100034047400001 1
 
2.1%
phmg320153100034047400002 1
 
2.1%
phmg320153100034047400003 1
 
2.1%
phmg320163100034047400001 1
 
2.1%
phmg320173100034047400002 1
 
2.1%
Other values (37) 37
78.7%
2024-05-11T15:37:57.396806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 434
36.9%
3 153
 
13.0%
4 153
 
13.0%
1 107
 
9.1%
2 68
 
5.8%
7 51
 
4.3%
P 47
 
4.0%
H 47
 
4.0%
M 47
 
4.0%
G 47
 
4.0%
Other values (4) 21
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 987
84.0%
Uppercase Letter 188
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 434
44.0%
3 153
 
15.5%
4 153
 
15.5%
1 107
 
10.8%
2 68
 
6.9%
7 51
 
5.2%
9 6
 
0.6%
8 6
 
0.6%
5 6
 
0.6%
6 3
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
P 47
25.0%
H 47
25.0%
M 47
25.0%
G 47
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 987
84.0%
Latin 188
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 434
44.0%
3 153
 
15.5%
4 153
 
15.5%
1 107
 
10.8%
2 68
 
6.9%
7 51
 
5.2%
9 6
 
0.6%
8 6
 
0.6%
5 6
 
0.6%
6 3
 
0.3%
Latin
ValueCountFrequency (%)
P 47
25.0%
H 47
25.0%
M 47
25.0%
G 47
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1175
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 434
36.9%
3 153
 
13.0%
4 153
 
13.0%
1 107
 
9.1%
2 68
 
5.8%
7 51
 
4.3%
P 47
 
4.0%
H 47
 
4.0%
M 47
 
4.0%
G 47
 
4.0%
Other values (4) 21
 
1.8%

인허가일자
Date

Distinct46
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2005-05-23 00:00:00
Maximum2024-02-13 00:00:00
2024-05-11T15:37:57.637725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:37:57.838276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
1
29 
3
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 29
61.7%
3 18
38.3%

Length

2024-05-11T15:37:58.149893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:37:58.333342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
61.7%
3 18
38.3%

영업상태명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
영업/정상
29 
폐업
18 

Length

Max length5
Median length5
Mean length3.8510638
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 29
61.7%
폐업 18
38.3%

Length

2024-05-11T15:37:58.483405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:37:58.639840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 29
61.7%
폐업 18
38.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
13
29 
3
16 
24
 
2

Length

Max length2
Median length2
Mean length1.6595745
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row3
5th row24

Common Values

ValueCountFrequency (%)
13 29
61.7%
3 16
34.0%
24 2
 
4.3%

Length

2024-05-11T15:37:58.826762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:37:59.279950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 29
61.7%
3 16
34.0%
24 2
 
4.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
영업중
29 
폐업
16 
직권폐업
 
2

Length

Max length4
Median length3
Mean length2.7021277
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 29
61.7%
폐업 16
34.0%
직권폐업 2
 
4.3%

Length

2024-05-11T15:37:59.461043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:37:59.621588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 29
61.7%
폐업 16
34.0%
직권폐업 2
 
4.3%

폐업일자
Date

MISSING 

Distinct18
Distinct (%)100.0%
Missing29
Missing (%)61.7%
Memory size508.0 B
Minimum2010-11-22 00:00:00
Maximum2024-02-07 00:00:00
2024-05-11T15:37:59.793373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:37:59.992684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

전화번호
Text

MISSING 

Distinct31
Distinct (%)93.9%
Missing14
Missing (%)29.8%
Memory size508.0 B
2024-05-11T15:38:00.382154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.4242424
Min length8

Characters and Unicode

Total characters311
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

Unique29 ?
Unique (%)87.9%

Sample

1st row935-8800
2nd row02-975-1322
3rd row02-999-3117
4th row02-978-2274
5th row02-948-2152
ValueCountFrequency (%)
952-4025 2
 
6.1%
02-978-2274 2
 
6.1%
930-4396 1
 
3.0%
935-8800 1
 
3.0%
979-8202 1
 
3.0%
930-0801 1
 
3.0%
933-8794 1
 
3.0%
973-8600 1
 
3.0%
3296-5633 1
 
3.0%
949-2237 1
 
3.0%
Other values (21) 21
63.6%
2024-05-11T15:38:00.987226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 50
16.1%
- 46
14.8%
0 44
14.1%
9 43
13.8%
7 29
9.3%
3 22
7.1%
8 21
6.8%
4 20
 
6.4%
5 18
 
5.8%
1 9
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 265
85.2%
Dash Punctuation 46
 
14.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 50
18.9%
0 44
16.6%
9 43
16.2%
7 29
10.9%
3 22
8.3%
8 21
7.9%
4 20
 
7.5%
5 18
 
6.8%
1 9
 
3.4%
6 9
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 311
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 50
16.1%
- 46
14.8%
0 44
14.1%
9 43
13.8%
7 29
9.3%
3 22
7.1%
8 21
6.8%
4 20
 
6.4%
5 18
 
5.8%
1 9
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 311
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 50
16.1%
- 46
14.8%
0 44
14.1%
9 43
13.8%
7 29
9.3%
3 22
7.1%
8 21
6.8%
4 20
 
6.4%
5 18
 
5.8%
1 9
 
2.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

소재지우편번호
Text

MISSING 

Distinct18
Distinct (%)78.3%
Missing24
Missing (%)51.1%
Memory size508.0 B
2024-05-11T15:38:01.277797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0869565
Min length6

Characters and Unicode

Total characters140
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

Unique13 ?
Unique (%)56.5%

Sample

1st row139832
2nd row139-801
3rd row139805
4th row139871
5th row139808
ValueCountFrequency (%)
139805 2
 
8.7%
139806 2
 
8.7%
139804 2
 
8.7%
139859 2
 
8.7%
139808 2
 
8.7%
139809 1
 
4.3%
139811 1
 
4.3%
139241 1
 
4.3%
139827 1
 
4.3%
139943 1
 
4.3%
Other values (8) 8
34.8%
2024-05-11T15:38:01.709126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 30
21.4%
9 27
19.3%
3 26
18.6%
8 23
16.4%
0 11
 
7.9%
2 6
 
4.3%
5 5
 
3.6%
4 5
 
3.6%
7 3
 
2.1%
6 2
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 138
98.6%
Dash Punctuation 2
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 30
21.7%
9 27
19.6%
3 26
18.8%
8 23
16.7%
0 11
 
8.0%
2 6
 
4.3%
5 5
 
3.6%
4 5
 
3.6%
7 3
 
2.2%
6 2
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 140
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 30
21.4%
9 27
19.3%
3 26
18.6%
8 23
16.4%
0 11
 
7.9%
2 6
 
4.3%
5 5
 
3.6%
4 5
 
3.6%
7 3
 
2.1%
6 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 30
21.4%
9 27
19.3%
3 26
18.6%
8 23
16.4%
0 11
 
7.9%
2 6
 
4.3%
5 5
 
3.6%
4 5
 
3.6%
7 3
 
2.1%
6 2
 
1.4%

지번주소
Text

MISSING 

Distinct39
Distinct (%)97.5%
Missing7
Missing (%)14.9%
Memory size508.0 B
2024-05-11T15:38:02.129813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34.5
Mean length28.475
Min length19

Characters and Unicode

Total characters1139
Distinct characters73
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)95.0%

Sample

1st row서울특별시 노원구 상계6.7동 749번지 8호 삼양빌딩 102호
2nd row서울특별시 노원구 공릉동 323번지 1호 엘지베스트샵 3층 301호
3rd row서울특별시 노원구 상계동 177번지 64호
4th row서울특별시 노원구 공릉1.3동 492번지 3호 서진프라자 108호
5th row서울특별시 노원구 하계1동 164번지 4호
ValueCountFrequency (%)
서울특별시 40
 
16.8%
노원구 40
 
16.8%
상계동 16
 
6.7%
1호 8
 
3.4%
1층 6
 
2.5%
공릉동 5
 
2.1%
공릉1.3동 4
 
1.7%
세양빌딩 3
 
1.3%
3호 3
 
1.3%
434번지 3
 
1.3%
Other values (92) 110
46.2%
2024-05-11T15:38:02.735785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
201
 
17.6%
1 52
 
4.6%
노 44
 
3.9%
원 43
 
3.8%
서 41
 
3.6%
동 41
 
3.6%
호 41
 
3.6%
울 40
 
3.5%
특 40
 
3.5%
별 40
 
3.5%
Other values (63) 556
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 679
59.6%
Decimal Number 245
 
21.5%
Space Separator 201
 
17.6%
Other Punctuation 7
 
0.6%
Dash Punctuation 5
 
0.4%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 44
 
6.5%
원 43
 
6.3%
서 41
 
6.0%
동 41
 
6.0%
호 41
 
6.0%
울 40
 
5.9%
특 40
 
5.9%
별 40
 
5.9%
시 40
 
5.9%
구 40
 
5.9%
Other values (48) 269
39.6%
Decimal Number
ValueCountFrequency (%)
1 52
21.2%
4 35
14.3%
3 30
12.2%
2 27
11.0%
0 24
9.8%
7 21
8.6%
8 17
 
6.9%
5 15
 
6.1%
6 13
 
5.3%
9 11
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
201
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 679
59.6%
Common 458
40.2%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 44
 
6.5%
원 43
 
6.3%
서 41
 
6.0%
동 41
 
6.0%
호 41
 
6.0%
울 40
 
5.9%
특 40
 
5.9%
별 40
 
5.9%
시 40
 
5.9%
구 40
 
5.9%
Other values (48) 269
39.6%
Common
ValueCountFrequency (%)
201
43.9%
1 52
 
11.4%
4 35
 
7.6%
3 30
 
6.6%
2 27
 
5.9%
0 24
 
5.2%
7 21
 
4.6%
8 17
 
3.7%
5 15
 
3.3%
6 13
 
2.8%
Other values (3) 23
 
5.0%
Latin
ValueCountFrequency (%)
C 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 679
59.6%
ASCII 460
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
201
43.7%
1 52
 
11.3%
4 35
 
7.6%
3 30
 
6.5%
2 27
 
5.9%
0 24
 
5.2%
7 21
 
4.6%
8 17
 
3.7%
5 15
 
3.3%
6 13
 
2.8%
Other values (5) 25
 
5.4%
Hangul
ValueCountFrequency (%)
노 44
 
6.5%
원 43
 
6.3%
서 41
 
6.0%
동 41
 
6.0%
호 41
 
6.0%
울 40
 
5.9%
특 40
 
5.9%
별 40
 
5.9%
시 40
 
5.9%
구 40
 
5.9%
Other values (48) 269
39.6%

도로명주소
Text

MISSING 

Distinct44
Distinct (%)95.7%
Missing1
Missing (%)2.1%
Memory size508.0 B
2024-05-11T15:38:03.220540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length34.673913
Min length23

Characters and Unicode

Total characters1595
Distinct characters94
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)91.3%

Sample

1st row서울특별시 노원구 동일로 1350, 102호 (상계동, 삼양빌딩)
2nd row서울특별시 노원구 동일로 1107, 3층 301호 (공릉동, 엘지베스트샵 )
3rd row서울특별시 노원구 동일로237가길 19-10 (상계동)
4th row서울특별시 노원구 동일로173가길 115 (공릉동,서진프라자 108호)
5th row서울특별시 노원구 화랑로 419-17 (공릉동,대진빌딩 3층)
ValueCountFrequency (%)
서울특별시 46
 
15.1%
노원구 46
 
15.1%
상계동 27
 
8.9%
1층 9
 
3.0%
공릉동 8
 
2.6%
동일로 7
 
2.3%
덕릉로 6
 
2.0%
동일로173가길 4
 
1.3%
중계동 4
 
1.3%
세양빌딩 3
 
1.0%
Other values (111) 144
47.4%
2024-05-11T15:38:04.101779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
258
 
16.2%
1 75
 
4.7%
동 70
 
4.4%
, 57
 
3.6%
노 57
 
3.6%
원 53
 
3.3%
서 47
 
2.9%
시 46
 
2.9%
별 46
 
2.9%
울 46
 
2.9%
Other values (84) 840
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 892
55.9%
Decimal Number 287
 
18.0%
Space Separator 258
 
16.2%
Other Punctuation 57
 
3.6%
Close Punctuation 46
 
2.9%
Open Punctuation 46
 
2.9%
Dash Punctuation 7
 
0.4%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 70
 
7.8%
노 57
 
6.4%
원 53
 
5.9%
서 47
 
5.3%
시 46
 
5.2%
별 46
 
5.2%
울 46
 
5.2%
로 46
 
5.2%
특 46
 
5.2%
구 46
 
5.2%
Other values (67) 389
43.6%
Decimal Number
ValueCountFrequency (%)
1 75
26.1%
2 33
11.5%
3 31
10.8%
0 31
10.8%
4 30
 
10.5%
6 19
 
6.6%
5 19
 
6.6%
7 19
 
6.6%
9 17
 
5.9%
8 13
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
258
100.0%
Other Punctuation
ValueCountFrequency (%)
, 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 892
55.9%
Common 701
43.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 70
 
7.8%
노 57
 
6.4%
원 53
 
5.9%
서 47
 
5.3%
시 46
 
5.2%
별 46
 
5.2%
울 46
 
5.2%
로 46
 
5.2%
특 46
 
5.2%
구 46
 
5.2%
Other values (67) 389
43.6%
Common
ValueCountFrequency (%)
258
36.8%
1 75
 
10.7%
, 57
 
8.1%
) 46
 
6.6%
( 46
 
6.6%
2 33
 
4.7%
3 31
 
4.4%
0 31
 
4.4%
4 30
 
4.3%
6 19
 
2.7%
Other values (5) 75
 
10.7%
Latin
ValueCountFrequency (%)
C 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 892
55.9%
ASCII 703
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
258
36.7%
1 75
 
10.7%
, 57
 
8.1%
) 46
 
6.5%
( 46
 
6.5%
2 33
 
4.7%
3 31
 
4.4%
0 31
 
4.4%
4 30
 
4.3%
6 19
 
2.7%
Other values (7) 77
 
11.0%
Hangul
ValueCountFrequency (%)
동 70
 
7.8%
노 57
 
6.4%
원 53
 
5.9%
서 47
 
5.3%
시 46
 
5.2%
별 46
 
5.2%
울 46
 
5.2%
로 46
 
5.2%
특 46
 
5.2%
구 46
 
5.2%
Other values (67) 389
43.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)76.2%
Missing5
Missing (%)10.6%
Infinite0
Infinite (%)0.0%
Mean14876.952
Minimum1612
Maximum139859
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-05-11T15:38:04.337087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1612
5-th percentile1614.3
Q11640.5
median1726.5
Q31848
95-th percentile139849.6
Maximum139859
Range138247
Interquartile range (IQR)207.5

Descriptive statistics

Standard deviation41036.057
Coefficient of variation (CV)2.7583645
Kurtosis6.4922796
Mean14876.952
Median Absolute Deviation (MAD)90
Skewness2.8609501
Sum624832
Variance1.6839579 × 109
MonotonicityNot monotonic
2024-05-11T15:38:04.573131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1754 3
 
6.4%
1638 2
 
4.3%
1633 2
 
4.3%
1695 2
 
4.3%
139859 2
 
4.3%
1857 2
 
4.3%
1860 2
 
4.3%
1666 2
 
4.3%
1614 2
 
4.3%
1836 1
 
2.1%
Other values (22) 22
46.8%
(Missing) 5
 
10.6%
ValueCountFrequency (%)
1612 1
2.1%
1614 2
4.3%
1620 1
2.1%
1629 1
2.1%
1633 2
4.3%
1634 1
2.1%
1635 1
2.1%
1638 2
4.3%
1648 1
2.1%
1659 1
2.1%
ValueCountFrequency (%)
139859 2
4.3%
139852 1
2.1%
139804 1
2.1%
1905 1
2.1%
1860 2
4.3%
1857 2
4.3%
1856 1
2.1%
1852 1
2.1%
1836 1
2.1%
1788 1
2.1%

사업장명
Text

Distinct43
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-05-11T15:38:04.942804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length6.8297872
Min length2

Characters and Unicode

Total characters321
Distinct characters125
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)83.0%

Sample

1st row고려의료기
2nd row엘지전자(주)노원서비스센터
3rd row퍼스트케어
4th row위니아서비스노원점
5th row예승메디칼
ValueCountFrequency (%)
장애인용품 2
 
3.9%
디에스케어 2
 
3.9%
에치엘티 2
 
3.9%
위니아서비스노원점 2
 
3.9%
물물교환센터 2
 
3.9%
고려의료기 1
 
2.0%
금강오픈요양센터 1
 
2.0%
으뜸케어 1
 
2.0%
주)선광메딕스 1
 
2.0%
주)인선메딕스 1
 
2.0%
Other values (36) 36
70.6%
2024-05-11T15:38:05.640375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 12
 
3.7%
케 11
 
3.4%
어 11
 
3.4%
디 10
 
3.1%
메 10
 
3.1%
기 10
 
3.1%
보 8
 
2.5%
원 8
 
2.5%
) 7
 
2.2%
노 7
 
2.2%
Other values (115) 227
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 295
91.9%
Close Punctuation 7
 
2.2%
Open Punctuation 7
 
2.2%
Lowercase Letter 7
 
2.2%
Space Separator 4
 
1.2%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 12
 
4.1%
케 11
 
3.7%
어 11
 
3.7%
디 10
 
3.4%
메 10
 
3.4%
기 10
 
3.4%
보 8
 
2.7%
원 8
 
2.7%
노 7
 
2.4%
주 7
 
2.4%
Other values (104) 201
68.1%
Lowercase Letter
ValueCountFrequency (%)
i 1
14.3%
l 1
14.3%
a 1
14.3%
c 1
14.3%
d 1
14.3%
e 1
14.3%
m 1
14.3%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Uppercase Letter
ValueCountFrequency (%)
U 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 295
91.9%
Common 18
 
5.6%
Latin 8
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 12
 
4.1%
케 11
 
3.7%
어 11
 
3.7%
디 10
 
3.4%
메 10
 
3.4%
기 10
 
3.4%
보 8
 
2.7%
원 8
 
2.7%
노 7
 
2.4%
주 7
 
2.4%
Other values (104) 201
68.1%
Latin
ValueCountFrequency (%)
i 1
12.5%
l 1
12.5%
a 1
12.5%
c 1
12.5%
d 1
12.5%
e 1
12.5%
m 1
12.5%
U 1
12.5%
Common
ValueCountFrequency (%)
) 7
38.9%
( 7
38.9%
4
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 295
91.9%
ASCII 26
 
8.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 12
 
4.1%
케 11
 
3.7%
어 11
 
3.7%
디 10
 
3.4%
메 10
 
3.4%
기 10
 
3.4%
보 8
 
2.7%
원 8
 
2.7%
노 7
 
2.4%
주 7
 
2.4%
Other values (104) 201
68.1%
ASCII
ValueCountFrequency (%)
) 7
26.9%
( 7
26.9%
4
15.4%
i 1
 
3.8%
l 1
 
3.8%
a 1
 
3.8%
c 1
 
3.8%
d 1
 
3.8%
e 1
 
3.8%
m 1
 
3.8%

최종수정일자
Date

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2011-08-10 16:51:46
Maximum2024-03-26 14:28:59
2024-05-11T15:38:05.936832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:38:06.223154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
I
32 
U
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 32
68.1%
U 15
31.9%

Length

2024-05-11T15:38:06.474426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:06.632148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 32
68.1%
u 15
31.9%

데이터갱신일자
Date

Distinct23
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2018-10-11 15:46:28
Maximum2023-12-02 22:08:00
2024-05-11T15:38:06.784397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:38:07.007639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)80.4%
Missing1
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean206020.36
Minimum203937.14
Maximum207269.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-05-11T15:38:07.251200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum203937.14
5-th percentile204580.67
Q1205463.26
median206245.76
Q3206511.67
95-th percentile206970.99
Maximum207269.83
Range3332.6948
Interquartile range (IQR)1048.4139

Descriptive statistics

Standard deviation751.5434
Coefficient of variation (CV)0.0036479084
Kurtosis0.25517326
Mean206020.36
Median Absolute Deviation (MAD)366.9887
Skewness-0.74911554
Sum9476936.5
Variance564817.49
MonotonicityNot monotonic
2024-05-11T15:38:07.603011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
205880.349768572 3
 
6.4%
206511.67393263 3
 
6.4%
204457.854250295 2
 
4.3%
206272.075043171 2
 
4.3%
205978.185783794 2
 
4.3%
206822.49898149 2
 
4.3%
205539.051712379 2
 
4.3%
205437.99609028 1
 
2.1%
204955.689441329 1
 
2.1%
206872.220443471 1
 
2.1%
Other values (27) 27
57.4%
ValueCountFrequency (%)
203937.138707359 1
2.1%
204457.854250295 2
4.3%
204949.109186112 1
2.1%
204955.689441329 1
2.1%
205088.642066605 1
2.1%
205273.302426861 1
2.1%
205302.900238043 1
2.1%
205316.296326505 1
2.1%
205341.384982763 1
2.1%
205400.87065435 1
2.1%
ValueCountFrequency (%)
207269.833462484 1
 
2.1%
207209.845059052 1
 
2.1%
207001.924309234 1
 
2.1%
206878.198470134 1
 
2.1%
206872.220443471 1
 
2.1%
206822.49898149 2
4.3%
206687.495322793 1
 
2.1%
206614.327165643 1
 
2.1%
206596.616263673 1
 
2.1%
206511.67393263 3
6.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)80.4%
Missing1
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean460648.29
Minimum457251.09
Maximum463510.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-05-11T15:38:07.896454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum457251.09
5-th percentile457419.18
Q1458510.27
median461040.77
Q3462382.92
95-th percentile463352.62
Maximum463510.03
Range6258.9435
Interquartile range (IQR)3872.65

Descriptive statistics

Standard deviation2061.2545
Coefficient of variation (CV)0.0044746819
Kurtosis-1.3053898
Mean460648.29
Median Absolute Deviation (MAD)1729.0785
Skewness-0.32410681
Sum21189821
Variance4248770.3
MonotonicityNot monotonic
2024-05-11T15:38:08.127377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
461032.780065805 3
 
6.4%
461668.784446921 3
 
6.4%
463352.619103609 2
 
4.3%
457893.814951571 2
 
4.3%
462367.006783272 2
 
4.3%
462909.715938659 2
 
4.3%
461429.301858351 2
 
4.3%
460765.486012553 1
 
2.1%
463510.034420309 1
 
2.1%
458023.464341745 1
 
2.1%
Other values (27) 27
57.4%
ValueCountFrequency (%)
457251.090884927 1
2.1%
457258.202297566 1
2.1%
457306.715339807 1
2.1%
457756.565732293 1
2.1%
457867.10862318 1
2.1%
457889.990015935 1
2.1%
457893.814951571 2
4.3%
457953.55861729 1
2.1%
457994.459666206 1
2.1%
458023.464341745 1
2.1%
ValueCountFrequency (%)
463510.034420309 1
2.1%
463460.550555451 1
2.1%
463352.619103609 2
4.3%
463308.127564931 1
2.1%
463221.56208874 1
2.1%
462909.715938659 2
4.3%
462704.042451833 1
2.1%
462498.718531753 1
2.1%
462460.15013694 1
2.1%
462388.222892106 1
2.1%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing47
Missing (%)100.0%
Memory size555.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03100000PHMG31998310003404740000120101231<NA>1영업/정상13영업중<NA><NA><NA><NA>935-8800<NA>139832서울특별시 노원구 상계6.7동 749번지 8호 삼양빌딩 102호서울특별시 노원구 동일로 1350, 102호 (상계동, 삼양빌딩)1756고려의료기2017-01-13 16:05:01I2018-10-11 15:46:28.0<NA>205437.99609460765.486013<NA><NA><NA><NA>
13100000PHMG3200831000340474000012008-11-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-975-1322<NA>139-801서울특별시 노원구 공릉동 323번지 1호 엘지베스트샵 3층 301호서울특별시 노원구 동일로 1107, 3층 301호 (공릉동, 엘지베스트샵 )1852엘지전자(주)노원서비스센터2024-03-26 14:28:59U2023-12-02 22:08:00.0<NA>206206.458011458466.526031<NA><NA><NA><NA>
23100000PHMG32009310003404740000120091224<NA>1영업/정상13영업중<NA><NA><NA><NA>02-999-3117<NA><NA>서울특별시 노원구 상계동 177번지 64호서울특별시 노원구 동일로237가길 19-10 (상계동)1612퍼스트케어2017-01-09 17:06:32I2018-10-11 15:46:28.0<NA>206010.436572461600.937327<NA><NA><NA><NA>
33100000PHMG32009310003404740000220050609<NA>3폐업3폐업20121004<NA><NA><NA>02-978-2274<NA>139805서울특별시 노원구 공릉1.3동 492번지 3호 서진프라자 108호서울특별시 노원구 동일로173가길 115 (공릉동,서진프라자 108호)<NA>위니아서비스노원점2012-10-04 12:02:15I2018-10-11 15:46:28.0<NA>206272.075043457893.814952<NA><NA><NA><NA>
43100000PHMG32010310003404740000120100312<NA>3폐업24직권폐업20101122<NA><NA><NA>02-948-2152<NA>139871서울특별시 노원구 하계1동 164번지 4호<NA><NA>예승메디칼2013-06-11 10:35:12I2018-10-11 15:46:28.0<NA>206455.358296459245.885354<NA><NA><NA><NA>
53100000PHMG32010310003404740000220050523<NA>3폐업3폐업20120516<NA><NA><NA>02-948-8246<NA>139808서울특별시 노원구 공릉1.3동 684번지 32호 대진빌딩 3층서울특별시 노원구 화랑로 419-17 (공릉동,대진빌딩 3층)<NA>진바이오텍2012-05-16 13:17:15I2018-10-11 15:46:28.0<NA>206431.191943457306.71534<NA><NA><NA><NA>
63100000PHMG32010310003404740000320050607<NA>1영업/정상13영업중<NA><NA><NA><NA>02-977-2800<NA>139808서울특별시 노원구 공릉동 684번지 6호 2층서울특별시 노원구 섬밭로 8, 2층 (공릉동)1860(주)리드덴탈2014-03-04 10:03:11I2018-10-11 15:46:28.0<NA>206367.979552457251.090885<NA><NA><NA><NA>
73100000PHMG32010310003404740000420100322<NA>3폐업24직권폐업20110810<NA><NA><NA>02-3296-0379<NA>139807서울특별시 노원구 공릉1.3동 584번지 10호 중앙선교센타빌딩 504호서울특별시 노원구 동일로178길 19-38 (공릉동,중앙선교센타빌딩 504호)<NA>(주)온콜로지토탈솔루션2011-08-10 16:51:46I2018-10-11 15:46:28.0<NA>206614.327166457756.565732<NA><NA><NA><NA>
83100000PHMG32010310003404740000520100115<NA>3폐업3폐업20200326<NA><NA><NA>02-932-9002<NA>139821서울특별시 노원구 상계2동 717번지 1호 노원빌딩 303호서울특별시 노원구 노해로 501, 303호 (상계동, 노원빌딩)1695시그니아독일보청기노원센터2020-03-26 17:57:58U2020-03-28 02:40:00.0<NA>205539.051712461429.301858<NA><NA><NA><NA>
93100000PHMG32011310003404740000120100309<NA>3폐업3폐업20120112<NA><NA><NA><NA><NA>139805서울특별시 노원구 공릉1.3동 493번지 1호 대경빌딩 2층서울특별시 노원구 동일로173가길 128 (공릉동,대경빌딩 2층)<NA>대경메디텍2012-01-12 10:53:24I2018-10-11 15:46:28.0<NA>206296.538944457953.558617<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
373100000PHMG32019310003404740000120190916<NA>1영업/정상13영업중<NA><NA><NA><NA>02-935-2734<NA><NA>서울특별시 노원구 상계동 1085번지 8호서울특별시 노원구 동일로231다길 18, 1층 1호 (상계동)1614(주)씨앤제이헬스케어2020-05-20 17:22:22U2020-05-22 02:40:00.0<NA>204457.85425463352.619104<NA><NA><NA><NA>
383100000PHMG32020310003404740000120200327<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 717번지 1호 노원빌딩서울특별시 노원구 노해로 501, 노원빌딩 303호 (상계동)1695시그니아독일보청기 노원센터2020-04-07 12:54:43I2020-04-09 00:23:32.0<NA>205539.051712461429.301858<NA><NA><NA><NA>
393100000PHMG32020310003404740000220051020<NA>1영업/정상13영업중<NA><NA><NA><NA>2243-2804<NA><NA>서울특별시 노원구 공릉동 494-7서울특별시 노원구 동일로183길 10, 302호 (공릉동)1857프라임덴탈2020-11-10 17:13:59U2020-11-12 02:40:00.0<NA>206378.855064457889.990016<NA><NA><NA><NA>
403100000PHMG32020310003404740000320201110<NA>3폐업3폐업20210114<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 1321 건영아파트서울특별시 노원구 덕릉로115다길 40, 115호 (상계동, 건영아파트)1638디에스케어2021-01-14 16:27:33U2021-01-16 02:40:00.0<NA>206822.498981462909.715939<NA><NA><NA><NA>
413100000PHMG32020310003404740000420201231<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 757 한양아파트서울특별시 노원구 동일로216길 92, 상가동 209호 (상계동, 한양아파트)1754에치알티2020-12-31 11:23:58I2021-01-02 00:23:15.0<NA>205880.349769461032.780066<NA><NA><NA><NA>
423100000PHMG32021310003404740000120210114<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 1321 건영아파트서울특별시 노원구 덕릉로115다길 40, 115호 (상계동, 건영아파트)1638디에스케어2021-01-15 16:11:21I2021-01-17 00:23:04.0<NA>206822.498981462909.715939<NA><NA><NA><NA>
433100000PHMG32021310003404740000220210702<NA>1영업/정상13영업중<NA><NA><NA><NA>02-978-2274<NA><NA>서울특별시 노원구 상계동 95-180 금강빌딩서울특별시 노원구 덕릉로 744, 금강빌딩 7층 (상계동)1648위니아서비스노원점2021-07-02 16:15:07I2021-07-04 00:22:53.0<NA>206687.495323462388.222892<NA><NA><NA><NA>
443100000PHMG3202331000340474000012023-07-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6952-1279<NA><NA>서울특별시 노원구 상계동 651-3 양성빌딩서울특별시 노원구 동일로 1549, 양성빌딩 6층 602호 (상계동)1620베테랑보청기2023-07-31 14:57:05I2022-12-08 00:02:00.0<NA>204949.109186462704.042452<NA><NA><NA><NA>
453100000PHMG3202331000340474000022023-12-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 한글비석로24바길 43, 미래피아노학원 지층 (상계동)1659세움보조기2023-12-07 14:38:42I2022-11-02 00:09:00.0<NA>206276.614197462498.718532<NA><NA><NA><NA>
463100000PHMG3202431000340474000012024-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 동일로 1343, 동일프라자빌딩 1층 107호 (상계동)1767병원의료기2024-02-14 16:15:51I2023-12-01 23:06:00.0<NA>205400.870654460681.679133<NA><NA><NA><NA>