Overview

Dataset statistics

Number of variables29
Number of observations30
Missing cells345
Missing cells (%)39.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.5 KiB
Average record size in memory254.4 B

Variable types

Categorical6
Text5
DateTime3
Unsupported10
Numeric5

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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-16425/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 30 (100.0%) missing valuesMissing
폐업일자 has 12 (40.0%) missing valuesMissing
휴업시작일자 has 30 (100.0%) missing valuesMissing
휴업종료일자 has 30 (100.0%) missing valuesMissing
재개업일자 has 30 (100.0%) missing valuesMissing
전화번호 has 2 (6.7%) missing valuesMissing
소재지면적 has 30 (100.0%) missing valuesMissing
소재지우편번호 has 17 (56.7%) missing valuesMissing
지번주소 has 2 (6.7%) missing valuesMissing
도로명우편번호 has 12 (40.0%) missing valuesMissing
업태구분명 has 30 (100.0%) missing valuesMissing
수리대상 의료기기의 유형 has 30 (100.0%) missing valuesMissing
다른 겸업 여부 has 30 (100.0%) missing valuesMissing
총규모 has 30 (100.0%) missing valuesMissing
영업규모 has 30 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 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 started2024-05-10 23:46:09.574375
Analysis finished2024-05-10 23:46:10.530280
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3190000
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 30
100.0%

Length

2024-05-10T23:46:10.780727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:46:11.314692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 30
100.0%

관리번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-10T23:46:11.741021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters750
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowPHMG320043190033047400001
2nd rowPHMG320053190033047400001
3rd rowPHMG320053190033047400002
4th rowPHMG320063190033047400001
5th rowPHMG320073190033047400001
ValueCountFrequency (%)
phmg320043190033047400001 1
 
3.3%
phmg320053190033047400001 1
 
3.3%
phmg320223190033047400001 1
 
3.3%
phmg320203190033047400001 1
 
3.3%
phmg320193190033047400004 1
 
3.3%
phmg320193190033047400003 1
 
3.3%
phmg320193190033047400002 1
 
3.3%
phmg320193190033047400001 1
 
3.3%
phmg320183190033047400001 1
 
3.3%
phmg320163190033047400001 1
 
3.3%
Other values (20) 20
66.7%
2024-05-10T23:46:12.723001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 250
33.3%
3 124
16.5%
1 73
 
9.7%
4 64
 
8.5%
2 42
 
5.6%
9 35
 
4.7%
7 31
 
4.1%
P 30
 
4.0%
H 30
 
4.0%
M 30
 
4.0%
Other values (4) 41
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 630
84.0%
Uppercase Letter 120
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 250
39.7%
3 124
19.7%
1 73
 
11.6%
4 64
 
10.2%
2 42
 
6.7%
9 35
 
5.6%
7 31
 
4.9%
5 6
 
1.0%
6 3
 
0.5%
8 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
P 30
25.0%
H 30
25.0%
M 30
25.0%
G 30
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 630
84.0%
Latin 120
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 250
39.7%
3 124
19.7%
1 73
 
11.6%
4 64
 
10.2%
2 42
 
6.7%
9 35
 
5.6%
7 31
 
4.9%
5 6
 
1.0%
6 3
 
0.5%
8 2
 
0.3%
Latin
ValueCountFrequency (%)
P 30
25.0%
H 30
25.0%
M 30
25.0%
G 30
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 250
33.3%
3 124
16.5%
1 73
 
9.7%
4 64
 
8.5%
2 42
 
5.6%
9 35
 
4.7%
7 31
 
4.1%
P 30
 
4.0%
H 30
 
4.0%
M 30
 
4.0%
Other values (4) 41
 
5.5%

인허가일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2004-12-23 00:00:00
Maximum2022-09-19 00:00:00
2024-05-10T23:46:13.064821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:46:13.449664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
3
18 
1
11 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 18
60.0%
1 11
36.7%
5 1
 
3.3%

Length

2024-05-10T23:46:13.851630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:46:14.174625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 18
60.0%
1 11
36.7%
5 1
 
3.3%

영업상태명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
폐업
18 
영업/정상
11 
제외/삭제/전출
 
1

Length

Max length8
Median length2
Mean length3.3
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 18
60.0%
영업/정상 11
36.7%
제외/삭제/전출 1
 
3.3%

Length

2024-05-10T23:46:14.583700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:46:14.937749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 18
60.0%
영업/정상 11
36.7%
제외/삭제/전출 1
 
3.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
3
18 
13
11 
15
 
1

Length

Max length2
Median length1
Mean length1.4
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 18
60.0%
13 11
36.7%
15 1
 
3.3%

Length

2024-05-10T23:46:15.319729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:46:15.675334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 18
60.0%
13 11
36.7%
15 1
 
3.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
폐업
18 
영업중
11 
전출
 
1

Length

Max length3
Median length2
Mean length2.3666667
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 18
60.0%
영업중 11
36.7%
전출 1
 
3.3%

Length

2024-05-10T23:46:15.962176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:46:16.306941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 18
60.0%
영업중 11
36.7%
전출 1
 
3.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing12
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean20160044
Minimum20120214
Maximum20221006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-10T23:46:16.661163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120214
5-th percentile20120298
Q120130570
median20160512
Q320187873
95-th percentile20212590
Maximum20221006
Range100792
Interquartile range (IQR)57303.25

Descriptive statistics

Standard deviation32721.581
Coefficient of variation (CV)0.0016230908
Kurtosis-1.0655412
Mean20160044
Median Absolute Deviation (MAD)29957
Skewness0.28298184
Sum3.6288078 × 108
Variance1.0707019 × 109
MonotonicityNot monotonic
2024-05-10T23:46:17.168929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20160616 1
 
3.3%
20211105 1
 
3.3%
20221006 1
 
3.3%
20170327 1
 
3.3%
20170411 1
 
3.3%
20160407 1
 
3.3%
20190821 1
 
3.3%
20130416 1
 
3.3%
20150930 1
 
3.3%
20190330 1
 
3.3%
Other values (8) 8
26.7%
(Missing) 12
40.0%
ValueCountFrequency (%)
20120214 1
3.3%
20120313 1
3.3%
20120406 1
3.3%
20121115 1
3.3%
20130416 1
3.3%
20131031 1
3.3%
20140221 1
3.3%
20150930 1
3.3%
20160407 1
3.3%
20160616 1
3.3%
ValueCountFrequency (%)
20221006 1
3.3%
20211105 1
3.3%
20190821 1
3.3%
20190613 1
3.3%
20190330 1
3.3%
20180502 1
3.3%
20170411 1
3.3%
20170327 1
3.3%
20160616 1
3.3%
20160407 1
3.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

전화번호
Text

MISSING 

Distinct27
Distinct (%)96.4%
Missing2
Missing (%)6.7%
Memory size372.0 B
2024-05-10T23:46:17.650836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.892857
Min length8

Characters and Unicode

Total characters305
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

Unique26 ?
Unique (%)92.9%

Sample

1st row02-533-3700
2nd row02-778-0646
3rd row02-815-9667
4th row02-508-0094
5th row02-591-9360
ValueCountFrequency (%)
02-3280-2181 2
 
7.1%
02-522-9511 1
 
3.6%
02-533-3700 1
 
3.6%
02-6053-6624 1
 
3.6%
028246198 1
 
3.6%
02-812-1365 1
 
3.6%
02-586-3300 1
 
3.6%
02-6315-6625 1
 
3.6%
02-811-1004 1
 
3.6%
02-583-5263 1
 
3.6%
Other values (17) 17
60.7%
2024-05-10T23:46:18.580843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 51
16.7%
0 50
16.4%
2 44
14.4%
8 25
8.2%
5 25
8.2%
3 23
7.5%
1 22
7.2%
4 19
 
6.2%
6 17
 
5.6%
7 15
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 254
83.3%
Dash Punctuation 51
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
19.7%
2 44
17.3%
8 25
9.8%
5 25
9.8%
3 23
9.1%
1 22
8.7%
4 19
 
7.5%
6 17
 
6.7%
7 15
 
5.9%
9 14
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 305
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 51
16.7%
0 50
16.4%
2 44
14.4%
8 25
8.2%
5 25
8.2%
3 23
7.5%
1 22
7.2%
4 19
 
6.2%
6 17
 
5.6%
7 15
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 305
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 51
16.7%
0 50
16.4%
2 44
14.4%
8 25
8.2%
5 25
8.2%
3 23
7.5%
1 22
7.2%
4 19
 
6.2%
6 17
 
5.6%
7 15
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)84.6%
Missing17
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean156830
Minimum156808
Maximum156879
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-10T23:46:19.043972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum156808
5-th percentile156811.6
Q1156815
median156824
Q3156838
95-th percentile156864
Maximum156879
Range71
Interquartile range (IQR)23

Descriptive statistics

Standard deviation20.2608
Coefficient of variation (CV)0.00012918957
Kurtosis1.5012062
Mean156830
Median Absolute Deviation (MAD)10
Skewness1.2674226
Sum2038790
Variance410.5
MonotonicityNot monotonic
2024-05-10T23:46:19.562902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
156814 2
 
6.7%
156816 2
 
6.7%
156844 1
 
3.3%
156832 1
 
3.3%
156808 1
 
3.3%
156854 1
 
3.3%
156838 1
 
3.3%
156879 1
 
3.3%
156815 1
 
3.3%
156824 1
 
3.3%
(Missing) 17
56.7%
ValueCountFrequency (%)
156808 1
3.3%
156814 2
6.7%
156815 1
3.3%
156816 2
6.7%
156824 1
3.3%
156832 1
3.3%
156836 1
3.3%
156838 1
3.3%
156844 1
3.3%
156854 1
3.3%
ValueCountFrequency (%)
156879 1
3.3%
156854 1
3.3%
156844 1
3.3%
156838 1
3.3%
156836 1
3.3%
156832 1
3.3%
156824 1
3.3%
156816 2
6.7%
156815 1
3.3%
156814 2
6.7%

지번주소
Text

MISSING 

Distinct28
Distinct (%)100.0%
Missing2
Missing (%)6.7%
Memory size372.0 B
2024-05-10T23:46:20.248856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length32
Mean length26.571429
Min length13

Characters and Unicode

Total characters744
Distinct characters70
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row서울특별시 동작구 사당2동 72번지 30호
2nd row서울특별시 동작구 상도3동 256번지 42호 지하1층
3rd row서울특별시 동작구 사당동 105번지 우성공구상가 208호
4th row서울특별시 동작구 사당2동 72번지 14호 3층
5th row서울특별시 동작구 상도2동 25번지 8호 지하1층
ValueCountFrequency (%)
서울특별시 28
17.3%
동작구 28
17.3%
사당동 9
 
5.6%
2호 8
 
4.9%
사당2동 4
 
2.5%
상도동 4
 
2.5%
34호 4
 
2.5%
1044번지 4
 
2.5%
2층 3
 
1.9%
72번지 2
 
1.2%
Other values (56) 68
42.0%
2024-05-10T23:46:21.688777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
18.0%
동 57
 
7.7%
2 37
 
5.0%
구 29
 
3.9%
서 28
 
3.8%
울 28
 
3.8%
특 28
 
3.8%
별 28
 
3.8%
시 28
 
3.8%
작 28
 
3.8%
Other values (60) 319
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 454
61.0%
Decimal Number 153
 
20.6%
Space Separator 134
 
18.0%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 57
 
12.6%
구 29
 
6.4%
서 28
 
6.2%
울 28
 
6.2%
특 28
 
6.2%
별 28
 
6.2%
시 28
 
6.2%
작 28
 
6.2%
호 28
 
6.2%
지 25
 
5.5%
Other values (48) 147
32.4%
Decimal Number
ValueCountFrequency (%)
2 37
24.2%
4 27
17.6%
1 22
14.4%
3 14
 
9.2%
0 13
 
8.5%
5 12
 
7.8%
6 11
 
7.2%
7 7
 
4.6%
8 5
 
3.3%
9 5
 
3.3%
Space Separator
ValueCountFrequency (%)
134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 454
61.0%
Common 290
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 57
 
12.6%
구 29
 
6.4%
서 28
 
6.2%
울 28
 
6.2%
특 28
 
6.2%
별 28
 
6.2%
시 28
 
6.2%
작 28
 
6.2%
호 28
 
6.2%
지 25
 
5.5%
Other values (48) 147
32.4%
Common
ValueCountFrequency (%)
134
46.2%
2 37
 
12.8%
4 27
 
9.3%
1 22
 
7.6%
3 14
 
4.8%
0 13
 
4.5%
5 12
 
4.1%
6 11
 
3.8%
7 7
 
2.4%
8 5
 
1.7%
Other values (2) 8
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 454
61.0%
ASCII 290
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
46.2%
2 37
 
12.8%
4 27
 
9.3%
1 22
 
7.6%
3 14
 
4.8%
0 13
 
4.5%
5 12
 
4.1%
6 11
 
3.8%
7 7
 
2.4%
8 5
 
1.7%
Other values (2) 8
 
2.8%
Hangul
ValueCountFrequency (%)
동 57
 
12.6%
구 29
 
6.4%
서 28
 
6.2%
울 28
 
6.2%
특 28
 
6.2%
별 28
 
6.2%
시 28
 
6.2%
작 28
 
6.2%
호 28
 
6.2%
지 25
 
5.5%
Other values (48) 147
32.4%

도로명주소
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-10T23:46:22.672373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length31.733333
Min length25

Characters and Unicode

Total characters952
Distinct characters85
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st row서울특별시 동작구 동작대로35길 5 (사당동)
2nd row서울특별시 동작구 성대로 42 (상도동,지하1층)
3rd row서울특별시 동작구 등용로12나길 20 (대방동)
4th row서울특별시 동작구 동작대로29길 119, 208호 (사당동, 우성공구상가)
5th row서울특별시 동작구 동작대로35가길 1 (사당동,3층)
ValueCountFrequency (%)
서울특별시 30
 
16.0%
동작구 30
 
16.0%
사당동 11
 
5.9%
2077 4
 
2.1%
상도동 4
 
2.1%
1층 4
 
2.1%
남부순환로 4
 
2.1%
건축회관 4
 
2.1%
2층 4
 
2.1%
60 3
 
1.6%
Other values (73) 89
47.6%
2024-05-10T23:46:24.148433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
157
 
16.5%
동 70
 
7.4%
작 37
 
3.9%
구 31
 
3.3%
시 31
 
3.3%
, 31
 
3.3%
로 30
 
3.2%
( 30
 
3.2%
) 30
 
3.2%
서 30
 
3.2%
Other values (75) 475
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 562
59.0%
Space Separator 157
 
16.5%
Decimal Number 141
 
14.8%
Other Punctuation 31
 
3.3%
Open Punctuation 30
 
3.2%
Close Punctuation 30
 
3.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 70
 
12.5%
작 37
 
6.6%
구 31
 
5.5%
시 31
 
5.5%
로 30
 
5.3%
서 30
 
5.3%
울 30
 
5.3%
별 30
 
5.3%
특 30
 
5.3%
층 20
 
3.6%
Other values (60) 223
39.7%
Decimal Number
ValueCountFrequency (%)
2 29
20.6%
1 26
18.4%
0 18
12.8%
3 13
9.2%
5 11
 
7.8%
4 10
 
7.1%
8 9
 
6.4%
9 9
 
6.4%
7 9
 
6.4%
6 7
 
5.0%
Space Separator
ValueCountFrequency (%)
157
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 562
59.0%
Common 390
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 70
 
12.5%
작 37
 
6.6%
구 31
 
5.5%
시 31
 
5.5%
로 30
 
5.3%
서 30
 
5.3%
울 30
 
5.3%
별 30
 
5.3%
특 30
 
5.3%
층 20
 
3.6%
Other values (60) 223
39.7%
Common
ValueCountFrequency (%)
157
40.3%
, 31
 
7.9%
( 30
 
7.7%
) 30
 
7.7%
2 29
 
7.4%
1 26
 
6.7%
0 18
 
4.6%
3 13
 
3.3%
5 11
 
2.8%
4 10
 
2.6%
Other values (5) 35
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 562
59.0%
ASCII 390
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
157
40.3%
, 31
 
7.9%
( 30
 
7.7%
) 30
 
7.7%
2 29
 
7.4%
1 26
 
6.7%
0 18
 
4.6%
3 13
 
3.3%
5 11
 
2.8%
4 10
 
2.6%
Other values (5) 35
 
9.0%
Hangul
ValueCountFrequency (%)
동 70
 
12.5%
작 37
 
6.6%
구 31
 
5.5%
시 31
 
5.5%
로 30
 
5.3%
서 30
 
5.3%
울 30
 
5.3%
별 30
 
5.3%
특 30
 
5.3%
층 20
 
3.6%
Other values (60) 223
39.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)72.2%
Missing12
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean6988.1111
Minimum6902
Maximum7073
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-10T23:46:24.588486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6902
5-th percentile6926.65
Q16936.5
median7006.5
Q37025
95-th percentile7044.95
Maximum7073
Range171
Interquartile range (IQR)88.5

Descriptive statistics

Standard deviation48.250436
Coefficient of variation (CV)0.0069046464
Kurtosis-1.0407213
Mean6988.1111
Median Absolute Deviation (MAD)26
Skewness-0.25413149
Sum125786
Variance2328.1046
MonotonicityNot monotonic
2024-05-10T23:46:25.086439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
7025 4
 
13.3%
6932 2
 
6.7%
6931 2
 
6.7%
6990 1
 
3.3%
7005 1
 
3.3%
7009 1
 
3.3%
7008 1
 
3.3%
7018 1
 
3.3%
6965 1
 
3.3%
6950 1
 
3.3%
Other values (3) 3
 
10.0%
(Missing) 12
40.0%
ValueCountFrequency (%)
6902 1
3.3%
6931 2
6.7%
6932 2
6.7%
6950 1
3.3%
6965 1
3.3%
6990 1
3.3%
7005 1
3.3%
7008 1
3.3%
7009 1
3.3%
7018 1
3.3%
ValueCountFrequency (%)
7073 1
 
3.3%
7040 1
 
3.3%
7025 4
13.3%
7018 1
 
3.3%
7009 1
 
3.3%
7008 1
 
3.3%
7005 1
 
3.3%
6990 1
 
3.3%
6965 1
 
3.3%
6950 1
 
3.3%

사업장명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-10T23:46:26.037056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length7.7
Min length2

Characters and Unicode

Total characters231
Distinct characters92
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row(주)대광메디텍
2nd row세기덴탈
3rd row서울상사
4th row유진메리디안
5th row세원메디칼
ValueCountFrequency (%)
와이덱스보청기 2
 
5.4%
혜성메딕스 1
 
2.7%
굿모닝보청기 1
 
2.7%
사당난청센터 1
 
2.7%
주)에스케이엠엔엠 1
 
2.7%
태현메드 1
 
2.7%
주)티원에이치 1
 
2.7%
센트론메디칼 1
 
2.7%
주)액티피아 1
 
2.7%
주)대광메디텍 1
 
2.7%
Other values (26) 26
70.3%
2024-05-10T23:46:27.206606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 11
 
4.8%
( 10
 
4.3%
) 10
 
4.3%
메 9
 
3.9%
스 8
 
3.5%
7
 
3.0%
기 7
 
3.0%
이 7
 
3.0%
디 6
 
2.6%
청 6
 
2.6%
Other values (82) 150
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 204
88.3%
Open Punctuation 10
 
4.3%
Close Punctuation 10
 
4.3%
Space Separator 7
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 11
 
5.4%
메 9
 
4.4%
스 8
 
3.9%
기 7
 
3.4%
이 7
 
3.4%
디 6
 
2.9%
청 6
 
2.9%
사 5
 
2.5%
센 5
 
2.5%
보 5
 
2.5%
Other values (79) 135
66.2%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 204
88.3%
Common 27
 
11.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 11
 
5.4%
메 9
 
4.4%
스 8
 
3.9%
기 7
 
3.4%
이 7
 
3.4%
디 6
 
2.9%
청 6
 
2.9%
사 5
 
2.5%
센 5
 
2.5%
보 5
 
2.5%
Other values (79) 135
66.2%
Common
ValueCountFrequency (%)
( 10
37.0%
) 10
37.0%
7
25.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 204
88.3%
ASCII 27
 
11.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 11
 
5.4%
메 9
 
4.4%
스 8
 
3.9%
기 7
 
3.4%
이 7
 
3.4%
디 6
 
2.9%
청 6
 
2.9%
사 5
 
2.5%
센 5
 
2.5%
보 5
 
2.5%
Other values (79) 135
66.2%
ASCII
ValueCountFrequency (%)
( 10
37.0%
) 10
37.0%
7
25.9%

최종수정일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2012-03-13 14:55:33
Maximum2024-04-02 16:24:27
2024-05-10T23:46:27.725137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:46:28.146227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
I
19 
U
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 19
63.3%
U 11
36.7%

Length

2024-05-10T23:46:28.606928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:46:28.942571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 19
63.3%
u 11
36.7%

데이터갱신일자
Date

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2018-10-11 15:46:28
Maximum2023-12-04 00:04:00
2024-05-10T23:46:29.407545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:46:29.877766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

좌표정보(X)
Real number (ℝ)

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196053.08
Minimum191481.82
Maximum198341.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-10T23:46:30.261899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191481.82
5-th percentile192741.63
Q1194120.41
median196593.25
Q3198131.1
95-th percentile198321.65
Maximum198341.02
Range6859.201
Interquartile range (IQR)4010.6896

Descriptive statistics

Standard deviation2132.1978
Coefficient of variation (CV)0.010875615
Kurtosis-1.0601869
Mean196053.08
Median Absolute Deviation (MAD)1712.9307
Skewness-0.44294927
Sum5881592.3
Variance4546267.3
MonotonicityNot monotonic
2024-05-10T23:46:30.814471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
198131.102087635 4
 
13.3%
198308.285936457 2
 
6.7%
194100.40672368 2
 
6.7%
198341.017757812 1
 
3.3%
197175.147248712 1
 
3.3%
191958.16953273 1
 
3.3%
193979.084654703 1
 
3.3%
195580.736177946 1
 
3.3%
196040.537971974 1
 
3.3%
195162.990756637 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
191481.81674639 1
3.3%
191958.16953273 1
3.3%
193699.189949205 1
3.3%
193979.084654703 1
3.3%
194039.106314467 1
3.3%
194086.956881324 1
3.3%
194100.40672368 2
6.7%
194180.429806604 1
3.3%
194184.55928312 1
3.3%
194652.701673313 1
3.3%
ValueCountFrequency (%)
198341.017757812 1
 
3.3%
198332.586618402 1
 
3.3%
198308.285936457 2
6.7%
198290.855270233 1
 
3.3%
198258.471061479 1
 
3.3%
198131.102087635 4
13.3%
197802.054854046 1
 
3.3%
197669.089905479 1
 
3.3%
197306.604695438 1
 
3.3%
197175.147248712 1
 
3.3%

좌표정보(Y)
Real number (ℝ)

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443486.72
Minimum441650.92
Maximum445764.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-10T23:46:31.286852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441650.92
5-th percentile441650.92
Q1442610.32
median443111.09
Q3444454.68
95-th percentile445559.94
Maximum445764.45
Range4113.5371
Interquartile range (IQR)1844.3518

Descriptive statistics

Standard deviation1333.8682
Coefficient of variation (CV)0.0030076846
Kurtosis-1.1525351
Mean443486.72
Median Absolute Deviation (MAD)1021.9032
Skewness0.35039339
Sum13304602
Variance1779204.3
MonotonicityNot monotonic
2024-05-10T23:46:31.851926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
441650.915453321 4
 
13.3%
442672.602404162 2
 
6.7%
444454.676192525 2
 
6.7%
443172.715317024 1
 
3.3%
442455.908703115 1
 
3.3%
442754.754162376 1
 
3.3%
445550.881628603 1
 
3.3%
445764.45259219 1
 
3.3%
443370.020906266 1
 
3.3%
444643.71248326 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
441650.915453321 4
13.3%
442187.103752767 1
 
3.3%
442440.347267252 1
 
3.3%
442455.908703115 1
 
3.3%
442602.765890516 1
 
3.3%
442632.999788177 1
 
3.3%
442672.602404162 2
6.7%
442685.886949892 1
 
3.3%
442754.754162376 1
 
3.3%
442901.866427829 1
 
3.3%
ValueCountFrequency (%)
445764.45259219 1
3.3%
445567.348716586 1
3.3%
445550.881628603 1
3.3%
445543.161535432 1
3.3%
445497.280647751 1
3.3%
445113.078251 1
3.3%
444643.71248326 1
3.3%
444454.676192525 2
6.7%
444363.442328726 1
3.3%
444190.844599349 1
3.3%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03190000PHMG32004319003304740000120041223<NA>1영업/정상13영업중<NA><NA><NA><NA>02-533-3700<NA>156814서울특별시 동작구 사당2동 72번지 30호서울특별시 동작구 동작대로35길 5 (사당동)<NA>(주)대광메디텍2020-08-07 16:05:08U2020-08-09 02:40:00.0<NA>198341.017758443172.715317<NA><NA><NA><NA>
13190000PHMG32005319003304740000120050518<NA>3폐업3폐업20150930<NA><NA><NA>02-778-0646<NA>156844서울특별시 동작구 상도3동 256번지 42호 지하1층서울특별시 동작구 성대로 42 (상도동,지하1층)<NA>세기덴탈2016-03-25 10:42:34I2018-10-11 15:46:28.0<NA>194039.106314444075.148532<NA><NA><NA><NA>
23190000PHMG32005319003304740000220050620<NA>3폐업3폐업20190330<NA><NA><NA>02-815-9667<NA><NA><NA>서울특별시 동작구 등용로12나길 20 (대방동)6932서울상사2019-04-23 20:08:39U2019-04-25 02:40:00.0<NA>194086.956881445497.280648<NA><NA><NA><NA>
33190000PHMG32006319003304740000120060614<NA>1영업/정상13영업중<NA><NA><NA><NA>02-508-0094<NA><NA>서울특별시 동작구 사당동 105번지 우성공구상가 208호서울특별시 동작구 동작대로29길 119, 208호 (사당동, 우성공구상가)6990유진메리디안2018-02-26 13:29:53I2018-10-11 15:46:28.0<NA>197802.054854443049.471475<NA><NA><NA><NA>
43190000PHMG32007319003304740000120070502<NA>3폐업3폐업20120313<NA><NA><NA>02-591-9360<NA>156814서울특별시 동작구 사당2동 72번지 14호 3층서울특별시 동작구 동작대로35가길 1 (사당동,3층)<NA>세원메디칼2012-03-13 14:55:33I2018-10-11 15:46:28.0<NA>198290.85527443180.119099<NA><NA><NA><NA>
53190000PHMG32008319003304740000120080108<NA>3폐업3폐업20120406<NA><NA><NA>02-821-4805<NA>156832서울특별시 동작구 상도2동 25번지 8호 지하1층서울특별시 동작구 상도로 209 (상도동,지하1층)<NA>아시안스타(주)2012-04-06 15:03:10I2018-10-11 15:46:28.0<NA>194882.424592445113.078251<NA><NA><NA><NA>
63190000PHMG32009319003304740000120090213<NA>3폐업3폐업20180502<NA><NA><NA>02-812-4833<NA>156808서울특별시 동작구 대방동 335번지 17호 대방동크리닉센터 4층서울특별시 동작구 상도로 81 (대방동,대방동크리닉센터 4층)<NA>동작구장애인단체협의회2018-05-03 11:34:45I2018-10-11 15:46:28.0<NA>193699.189949444190.844599<NA><NA><NA><NA>
73190000PHMG32010319003304740000120100311<NA>3폐업3폐업20121115<NA><NA><NA>02-840-6980<NA>156854서울특별시 동작구 신대방1동 698번지서울특별시 동작구 시흥대로 596 (신대방동)<NA>(주)중외제약2012-11-15 10:55:26I2018-10-11 15:46:28.0<NA>191481.816746442602.765891<NA><NA><NA><NA>
83190000PHMG32010319003304740000220101109<NA>1영업/정상13영업중<NA><NA><NA><NA>02-532-3297<NA>156838서울특별시 동작구 상도2동 204번지 69호 주은빌딩 1층서울특별시 동작구 장승배기로5길 10 (상도동,주은빌딩 1층)<NA>제이엘메드(주)2019-07-22 09:22:02U2019-07-24 02:40:00.0<NA>194652.701673444363.442329<NA><NA><NA><NA>
93190000PHMG32011319003304740000120110620<NA>3폐업3폐업20140221<NA><NA><NA><NA><NA>156816서울특별시 동작구 사당2동 145번지 2호 4층 5호서울특별시 동작구 동작대로 109 (사당동,4층 5호)<NA>와이덱스보청기 이수점2014-02-21 10:35:20I2018-10-11 15:46:28.0<NA>198308.285936442672.602404<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
203190000PHMG32015319003304740000320150312<NA>3폐업3폐업20170327<NA><NA><NA>02-467-1775<NA><NA>서울특별시 동작구 사당동 1044번지 34호 6층 1호서울특별시 동작구 남부순환로 2077, 6층 1호 (사당동, 건축회관)7025태현메드2017-04-03 10:33:01I2018-10-11 15:46:28.0<NA>198131.102088441650.915453<NA><NA><NA><NA>
213190000PHMG32016319003304740000120160407<NA>3폐업3폐업20221006<NA><NA><NA>02-521-9851<NA><NA>서울특별시 동작구 사당동 1044번지 34호 5층 2호서울특별시 동작구 남부순환로 2077, 5층 2호 (사당동, 건축회관)7025(주)티원에이치2022-10-06 15:51:14U2021-10-31 00:08:00.0<NA>198131.102088441650.915453<NA><NA><NA><NA>
223190000PHMG32018319003304740000120180103<NA>1영업/정상13영업중<NA><NA><NA><NA>02-583-5263<NA><NA>서울특별시 동작구 사당동 278번지 2호 2층서울특별시 동작구 사당로14길 58, 2층 (사당동)7018센트론메디칼2019-07-22 09:23:47U2019-07-24 02:40:00.0<NA>197306.604695442187.103753<NA><NA><NA><NA>
233190000PHMG3201931900330474000012019-06-10<NA>5제외/삭제/전출15전출<NA><NA><NA><NA>02-3280-2181<NA><NA>서울특별시 동작구 노량진동 270번지 2호서울특별시 동작구 등용로14길 60, 2층 (노량진동)6931(주)액티피아2024-02-21 15:18:55U2023-12-01 22:04:00.0<NA>194184.559283445567.348717<NA><NA><NA><NA>
243190000PHMG32019319003304740000220190715<NA>1영업/정상13영업중<NA><NA><NA><NA>02-811-1004<NA><NA>서울특별시 동작구 상도동 154번지 5호 백산서울특별시 동작구 상도로34나길 9, 백산 1층 (상도동)6965알파케어2019-07-19 17:20:51I2019-07-21 02:21:42.0<NA>195162.990757444643.712483<NA><NA><NA><NA>
253190000PHMG32019319003304740000320190903<NA>3폐업3폐업20211105<NA><NA><NA>02-6315-6625<NA><NA>서울특별시 동작구 상도동 354번지 2호 경진체육관 202호서울특별시 동작구 상도로15길 38, 경진체육관 2층 202호 (상도동)6950제이에스메디칼2021-11-08 16:57:37U2021-11-10 02:40:00.0<NA>194100.406724444454.676193<NA><NA><NA><NA>
263190000PHMG3201931900330474000042019-10-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-586-3300<NA><NA>서울특별시 동작구 상도동 126-16 1층서울특별시 동작구 상도로68길 1-20, 1층 (상도동)7040엘지전자(주) 동작출장서비스센터2024-04-02 16:24:27U2023-12-04 00:04:00.0<NA>196040.537972443370.020906<NA><NA><NA><NA>
273190000PHMG32020319003304740000120201117<NA>1영업/정상13영업중<NA><NA><NA><NA>02-812-1365<NA><NA>서울특별시 동작구 본동 494 래미안 트윈파크서울특별시 동작구 노량진로23가길 23, 상가동 304호 (본동, 래미안 트윈파크)6902소닉헬스케어 주식회사2020-11-18 17:19:46I2020-11-20 00:23:07.0<NA>195580.736178445764.452592<NA><NA><NA><NA>
283190000PHMG32022319003304740000120220919<NA>1영업/정상13영업중<NA><NA><NA><NA>028246198<NA><NA>서울특별시 동작구 대방동 23-166서울특별시 동작구 등용로12길 60, 다동 (대방동)6932지체장애인지원센터2022-09-28 09:41:53I2021-12-08 21:00:00.0<NA>193979.084655445550.881629<NA><NA><NA><NA>
293190000PHMG3202331900330474000012015-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7007-4455<NA><NA>서울특별시 동작구 신대방동 694-14 진원빌딩서울특별시 동작구 대림로 29, 진원빌딩 3층 (신대방동)7073(주)진원메디칼2023-11-06 11:04:46U2022-11-01 00:08:00.0<NA>191958.169533442754.754162<NA><NA><NA><NA>