Overview

Dataset statistics

Number of variables29
Number of observations26
Missing cells294
Missing cells (%)39.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory255.1 B

Variable types

Categorical7
Text5
DateTime2
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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-16412/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 26 (100.0%) missing valuesMissing
폐업일자 has 12 (46.2%) missing valuesMissing
휴업시작일자 has 26 (100.0%) missing valuesMissing
휴업종료일자 has 26 (100.0%) missing valuesMissing
재개업일자 has 26 (100.0%) missing valuesMissing
전화번호 has 7 (26.9%) missing valuesMissing
소재지면적 has 26 (100.0%) missing valuesMissing
소재지우편번호 has 12 (46.2%) missing valuesMissing
지번주소 has 1 (3.8%) missing valuesMissing
업태구분명 has 26 (100.0%) missing valuesMissing
좌표정보(X) has 1 (3.8%) missing valuesMissing
좌표정보(Y) has 1 (3.8%) missing valuesMissing
수리대상 의료기기의 유형 has 26 (100.0%) missing valuesMissing
다른 겸업 여부 has 26 (100.0%) missing valuesMissing
총규모 has 26 (100.0%) missing valuesMissing
영업규모 has 26 (100.0%) missing valuesMissing
관리번호 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 started2024-05-11 05:45:47.122450
Analysis finished2024-05-11 05:45:48.001123
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
3060000
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 26
100.0%

Length

2024-05-11T14:45:48.089987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:48.237064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 26
100.0%

관리번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T14:45:48.488337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters650
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

Unique26 ?
Unique (%)100.0%

Sample

1st rowPHMG320043060034047400001
2nd rowPHMG320053060034047400001
3rd rowPHMG320113060034047400001
4th rowPHMG320113060034047400002
5th rowPHMG320113060034047400004
ValueCountFrequency (%)
phmg320043060034047400001 1
 
3.8%
phmg320053060034047400001 1
 
3.8%
phmg320213060034047400004 1
 
3.8%
phmg320213060034047400003 1
 
3.8%
phmg320213060034047400002 1
 
3.8%
phmg320213060034047400001 1
 
3.8%
phmg320203060034047400001 1
 
3.8%
phmg320193060034047400001 1
 
3.8%
phmg320183060034047400001 1
 
3.8%
phmg320173060034047400001 1
 
3.8%
Other values (16) 16
61.5%
2024-05-11T14:45:48.987824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 237
36.5%
4 85
 
13.1%
3 83
 
12.8%
1 42
 
6.5%
2 38
 
5.8%
7 28
 
4.3%
6 27
 
4.2%
P 26
 
4.0%
H 26
 
4.0%
M 26
 
4.0%
Other values (4) 32
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 546
84.0%
Uppercase Letter 104
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 237
43.4%
4 85
 
15.6%
3 83
 
15.2%
1 42
 
7.7%
2 38
 
7.0%
7 28
 
5.1%
6 27
 
4.9%
5 3
 
0.5%
8 2
 
0.4%
9 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
P 26
25.0%
H 26
25.0%
M 26
25.0%
G 26
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 546
84.0%
Latin 104
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 237
43.4%
4 85
 
15.6%
3 83
 
15.2%
1 42
 
7.7%
2 38
 
7.0%
7 28
 
5.1%
6 27
 
4.9%
5 3
 
0.5%
8 2
 
0.4%
9 1
 
0.2%
Latin
ValueCountFrequency (%)
P 26
25.0%
H 26
25.0%
M 26
25.0%
G 26
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 650
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 237
36.5%
4 85
 
13.1%
3 83
 
12.8%
1 42
 
6.5%
2 38
 
5.8%
7 28
 
4.3%
6 27
 
4.2%
P 26
 
4.0%
H 26
 
4.0%
M 26
 
4.0%
Other values (4) 32
 
4.9%

인허가일자
Date

Distinct22
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2004-12-20 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T14:45:49.199542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:45:49.405244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
3
14 
1
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 14
53.8%
1 12
46.2%

Length

2024-05-11T14:45:49.612633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:49.792496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 14
53.8%
1 12
46.2%

영업상태명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
폐업
14 
영업/정상
12 

Length

Max length5
Median length2
Mean length3.3846154
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 14
53.8%
영업/정상 12
46.2%

Length

2024-05-11T14:45:50.001936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:50.175089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 14
53.8%
영업/정상 12
46.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
3
13 
13
12 
24
 
1

Length

Max length2
Median length1.5
Mean length1.5
Min length1

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
3 13
50.0%
13 12
46.2%
24 1
 
3.8%

Length

2024-05-11T14:45:50.353978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:50.520396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 13
50.0%
13 12
46.2%
24 1
 
3.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
폐업
13 
영업중
12 
직권폐업
 
1

Length

Max length4
Median length3.5
Mean length2.5384615
Min length2

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 13
50.0%
영업중 12
46.2%
직권폐업 1
 
3.8%

Length

2024-05-11T14:45:50.715356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:50.915979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 13
50.0%
영업중 12
46.2%
직권폐업 1
 
3.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing12
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean20150710
Minimum20120509
Maximum20201123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T14:45:51.093876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120509
5-th percentile20120911
Q120132864
median20150274
Q320168046
95-th percentile20181693
Maximum20201123
Range80614
Interquartile range (IQR)35182.25

Descriptive statistics

Standard deviation23553.775
Coefficient of variation (CV)0.0011688806
Kurtosis-0.059925611
Mean20150710
Median Absolute Deviation (MAD)20058.5
Skewness0.44369433
Sum2.8210995 × 108
Variance5.547803 × 108
MonotonicityNot monotonic
2024-05-11T14:45:51.323034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20140530 1
 
3.8%
20121128 1
 
3.8%
20170516 1
 
3.8%
20171231 1
 
3.8%
20121203 1
 
3.8%
20130308 1
 
3.8%
20160908 1
 
3.8%
20120509 1
 
3.8%
20141104 1
 
3.8%
20150428 1
 
3.8%
Other values (4) 4
 
15.4%
(Missing) 12
46.2%
ValueCountFrequency (%)
20120509 1
3.8%
20121128 1
3.8%
20121203 1
3.8%
20130308 1
3.8%
20140530 1
3.8%
20141104 1
3.8%
20150119 1
3.8%
20150428 1
3.8%
20160414 1
3.8%
20160908 1
3.8%
ValueCountFrequency (%)
20201123 1
3.8%
20171231 1
3.8%
20170516 1
3.8%
20170425 1
3.8%
20160908 1
3.8%
20160414 1
3.8%
20150428 1
3.8%
20150119 1
3.8%
20141104 1
3.8%
20140530 1
3.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

전화번호
Text

MISSING 

Distinct18
Distinct (%)94.7%
Missing7
Missing (%)26.9%
Memory size340.0 B
2024-05-11T14:45:51.600716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10
Min length8

Characters and Unicode

Total characters190
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

Unique17 ?
Unique (%)89.5%

Sample

1st row975-1428
2nd row3445-9450
3rd row2277-8119
4th row493-7733
5th row2207-2344
ValueCountFrequency (%)
02-491-1328 2
 
10.5%
02-493-7733 1
 
5.3%
975-1428 1
 
5.3%
02-435-1415 1
 
5.3%
926-8671 1
 
5.3%
02-432-0691 1
 
5.3%
02-858-1084 1
 
5.3%
02-434-4606 1
 
5.3%
02-2209-1639 1
 
5.3%
02-494-2804 1
 
5.3%
Other values (8) 8
42.1%
2024-05-11T14:45:52.128677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 30
15.8%
2 25
13.2%
4 24
12.6%
0 20
10.5%
3 20
10.5%
9 17
8.9%
1 14
7.4%
8 12
 
6.3%
7 11
 
5.8%
5 9
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160
84.2%
Dash Punctuation 30
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 25
15.6%
4 24
15.0%
0 20
12.5%
3 20
12.5%
9 17
10.6%
1 14
8.8%
8 12
7.5%
7 11
6.9%
5 9
 
5.6%
6 8
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 190
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 30
15.8%
2 25
13.2%
4 24
12.6%
0 20
10.5%
3 20
10.5%
9 17
8.9%
1 14
7.4%
8 12
 
6.3%
7 11
 
5.8%
5 9
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 190
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 30
15.8%
2 25
13.2%
4 24
12.6%
0 20
10.5%
3 20
10.5%
9 17
8.9%
1 14
7.4%
8 12
 
6.3%
7 11
 
5.8%
5 9
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)71.4%
Missing12
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean131805.71
Minimum131233
Maximum131880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T14:45:52.417180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum131233
5-th percentile131615.2
Q1131829.5
median131848
Q3131860.5
95-th percentile131876.75
Maximum131880
Range647
Interquartile range (IQR)31

Descriptive statistics

Standard deviation165.87133
Coefficient of variation (CV)0.0012584532
Kurtosis13.568288
Mean131805.71
Median Absolute Deviation (MAD)16.5
Skewness-3.6609107
Sum1845280
Variance27513.297
MonotonicityNot monotonic
2024-05-11T14:45:52.610397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
131848 4
 
15.4%
131821 2
 
7.7%
131846 1
 
3.8%
131875 1
 
3.8%
131233 1
 
3.8%
131859 1
 
3.8%
131880 1
 
3.8%
131868 1
 
3.8%
131861 1
 
3.8%
131824 1
 
3.8%
(Missing) 12
46.2%
ValueCountFrequency (%)
131233 1
 
3.8%
131821 2
7.7%
131824 1
 
3.8%
131846 1
 
3.8%
131848 4
15.4%
131859 1
 
3.8%
131861 1
 
3.8%
131868 1
 
3.8%
131875 1
 
3.8%
131880 1
 
3.8%
ValueCountFrequency (%)
131880 1
 
3.8%
131875 1
 
3.8%
131868 1
 
3.8%
131861 1
 
3.8%
131859 1
 
3.8%
131848 4
15.4%
131846 1
 
3.8%
131824 1
 
3.8%
131821 2
7.7%
131233 1
 
3.8%

지번주소
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing1
Missing (%)3.8%
Memory size340.0 B
2024-05-11T14:45:53.036623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length25.52
Min length18

Characters and Unicode

Total characters638
Distinct characters57
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

Unique25 ?
Unique (%)100.0%

Sample

1st row서울특별시 중랑구 묵1동 2번지 현동빌딩 402호
2nd row서울특별시 중랑구 중화1동 284번지 1호 한스빌딩 5층
3rd row서울특별시 중랑구 망우동 364-50 아름빌딩
4th row서울특별시 중랑구 망우3동 461번지 30호 1층 베스트케어
5th row서울특별시 중랑구 상봉동 107번지 46호 12통 7반
ValueCountFrequency (%)
서울특별시 25
 
18.1%
중랑구 25
 
18.1%
묵동 5
 
3.6%
상봉동 4
 
2.9%
56호 3
 
2.2%
1호 3
 
2.2%
망우동 3
 
2.2%
면목동 3
 
2.2%
2층 2
 
1.4%
162번지 2
 
1.4%
Other values (58) 63
45.7%
2024-05-11T14:45:53.686657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113
17.7%
1 38
 
6.0%
중 28
 
4.4%
동 27
 
4.2%
랑 25
 
3.9%
울 25
 
3.9%
구 25
 
3.9%
서 25
 
3.9%
시 25
 
3.9%
별 25
 
3.9%
Other values (47) 282
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 370
58.0%
Decimal Number 146
 
22.9%
Space Separator 113
 
17.7%
Dash Punctuation 9
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 28
 
7.6%
동 27
 
7.3%
랑 25
 
6.8%
울 25
 
6.8%
구 25
 
6.8%
서 25
 
6.8%
시 25
 
6.8%
별 25
 
6.8%
특 25
 
6.8%
호 19
 
5.1%
Other values (35) 121
32.7%
Decimal Number
ValueCountFrequency (%)
1 38
26.0%
2 21
14.4%
5 16
11.0%
6 14
 
9.6%
4 14
 
9.6%
3 12
 
8.2%
0 12
 
8.2%
7 8
 
5.5%
8 6
 
4.1%
9 5
 
3.4%
Space Separator
ValueCountFrequency (%)
113
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 370
58.0%
Common 268
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 28
 
7.6%
동 27
 
7.3%
랑 25
 
6.8%
울 25
 
6.8%
구 25
 
6.8%
서 25
 
6.8%
시 25
 
6.8%
별 25
 
6.8%
특 25
 
6.8%
호 19
 
5.1%
Other values (35) 121
32.7%
Common
ValueCountFrequency (%)
113
42.2%
1 38
 
14.2%
2 21
 
7.8%
5 16
 
6.0%
6 14
 
5.2%
4 14
 
5.2%
3 12
 
4.5%
0 12
 
4.5%
- 9
 
3.4%
7 8
 
3.0%
Other values (2) 11
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 370
58.0%
ASCII 268
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
113
42.2%
1 38
 
14.2%
2 21
 
7.8%
5 16
 
6.0%
6 14
 
5.2%
4 14
 
5.2%
3 12
 
4.5%
0 12
 
4.5%
- 9
 
3.4%
7 8
 
3.0%
Other values (2) 11
 
4.1%
Hangul
ValueCountFrequency (%)
중 28
 
7.6%
동 27
 
7.3%
랑 25
 
6.8%
울 25
 
6.8%
구 25
 
6.8%
서 25
 
6.8%
시 25
 
6.8%
별 25
 
6.8%
특 25
 
6.8%
호 19
 
5.1%
Other values (35) 121
32.7%

도로명주소
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T14:45:54.048018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length28.461538
Min length22

Characters and Unicode

Total characters740
Distinct characters72
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

Unique24 ?
Unique (%)92.3%

Sample

1st row서울특별시 중랑구 신내로25가길 2 (묵동)
2nd row서울특별시 중랑구 동일로 824 (중화동)
3rd row서울특별시 중랑구 용마산로116길 6, 아름빌딩 (망우동)
4th row서울특별시 중랑구 봉우재로 231 (망우동)
5th row서울특별시 중랑구 면목로88길 5, 1층 (상봉동)
ValueCountFrequency (%)
서울특별시 26
16.9%
중랑구 26
16.9%
묵동 7
 
4.5%
2층 6
 
3.9%
1층 6
 
3.9%
망우동 5
 
3.2%
동일로 5
 
3.2%
면목동 5
 
3.2%
상봉동 4
 
2.6%
중화동 3
 
1.9%
Other values (53) 61
39.6%
2024-05-11T14:45:54.692315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
 
17.3%
1 32
 
4.3%
동 32
 
4.3%
중 32
 
4.3%
랑 29
 
3.9%
서 26
 
3.5%
) 26
 
3.5%
( 26
 
3.5%
로 26
 
3.5%
울 26
 
3.5%
Other values (62) 357
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
57.4%
Space Separator 128
 
17.3%
Decimal Number 113
 
15.3%
Close Punctuation 26
 
3.5%
Open Punctuation 26
 
3.5%
Other Punctuation 17
 
2.3%
Uppercase Letter 4
 
0.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 32
 
7.5%
중 32
 
7.5%
랑 29
 
6.8%
서 26
 
6.1%
로 26
 
6.1%
울 26
 
6.1%
구 26
 
6.1%
시 26
 
6.1%
별 26
 
6.1%
특 26
 
6.1%
Other values (43) 150
35.3%
Decimal Number
ValueCountFrequency (%)
1 32
28.3%
2 20
17.7%
6 12
 
10.6%
8 10
 
8.8%
7 10
 
8.8%
5 9
 
8.0%
3 6
 
5.3%
0 6
 
5.3%
4 5
 
4.4%
9 3
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
V 1
25.0%
A 1
25.0%
S 1
25.0%
K 1
25.0%
Space Separator
ValueCountFrequency (%)
128
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
57.4%
Common 311
42.0%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 32
 
7.5%
중 32
 
7.5%
랑 29
 
6.8%
서 26
 
6.1%
로 26
 
6.1%
울 26
 
6.1%
구 26
 
6.1%
시 26
 
6.1%
별 26
 
6.1%
특 26
 
6.1%
Other values (43) 150
35.3%
Common
ValueCountFrequency (%)
128
41.2%
1 32
 
10.3%
) 26
 
8.4%
( 26
 
8.4%
2 20
 
6.4%
, 17
 
5.5%
6 12
 
3.9%
8 10
 
3.2%
7 10
 
3.2%
5 9
 
2.9%
Other values (5) 21
 
6.8%
Latin
ValueCountFrequency (%)
V 1
25.0%
A 1
25.0%
S 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
57.4%
ASCII 315
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
40.6%
1 32
 
10.2%
) 26
 
8.3%
( 26
 
8.3%
2 20
 
6.3%
, 17
 
5.4%
6 12
 
3.8%
8 10
 
3.2%
7 10
 
3.2%
5 9
 
2.9%
Other values (9) 25
 
7.9%
Hangul
ValueCountFrequency (%)
동 32
 
7.5%
중 32
 
7.5%
랑 29
 
6.8%
서 26
 
6.1%
로 26
 
6.1%
울 26
 
6.1%
구 26
 
6.1%
시 26
 
6.1%
별 26
 
6.1%
특 26
 
6.1%
Other values (43) 150
35.3%

도로명우편번호
Real number (ℝ)

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42042.077
Minimum2010
Maximum131880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T14:45:54.915411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2021.5
Q12086.5
median2182
Q3131839.75
95-th percentile131871.5
Maximum131880
Range129870
Interquartile range (IQR)129753.25

Descriptive statistics

Standard deviation61059.974
Coefficient of variation (CV)1.4523539
Kurtosis-1.3247289
Mean42042.077
Median Absolute Deviation (MAD)115
Skewness0.88524294
Sum1093094
Variance3.7283204 × 109
MonotonicityNot monotonic
2024-05-11T14:45:55.143226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
131848 3
 
11.5%
2066 2
 
7.7%
131846 1
 
3.8%
2032 1
 
3.8%
2010 1
 
3.8%
2262 1
 
3.8%
2018 1
 
3.8%
2088 1
 
3.8%
2086 1
 
3.8%
2197 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
2010 1
3.8%
2018 1
3.8%
2032 1
3.8%
2066 2
7.7%
2068 1
3.8%
2086 1
3.8%
2088 1
3.8%
2118 1
3.8%
2132 1
3.8%
2154 1
3.8%
ValueCountFrequency (%)
131880 1
 
3.8%
131875 1
 
3.8%
131861 1
 
3.8%
131848 3
11.5%
131846 1
 
3.8%
131821 1
 
3.8%
2262 1
 
3.8%
2219 1
 
3.8%
2215 1
 
3.8%
2197 1
 
3.8%

사업장명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T14:45:55.503741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length7.1923077
Min length3

Characters and Unicode

Total characters187
Distinct characters83
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row네오테크
2nd row아우디보청기(주)
3rd row누리케어
4th row베스트케어
5th row씨엠건강의료기
ValueCountFrequency (%)
네오테크 1
 
3.2%
서울경기지사 1
 
3.2%
천지인메디칼 1
 
3.2%
주)뉴로포스 1
 
3.2%
동아의료기 1
 
3.2%
장애인이동기기수리센터 1
 
3.2%
중랑 1
 
3.2%
메디인 1
 
3.2%
중랑지사 1
 
3.2%
벨톤보청기 1
 
3.2%
Other values (21) 21
67.7%
2024-05-11T14:45:56.030590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 9
 
4.8%
메 8
 
4.3%
디 8
 
4.3%
( 7
 
3.7%
이 6
 
3.2%
주 6
 
3.2%
) 6
 
3.2%
청 5
 
2.7%
5
 
2.7%
칼 5
 
2.7%
Other values (73) 122
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166
88.8%
Open Punctuation 7
 
3.7%
Close Punctuation 6
 
3.2%
Space Separator 5
 
2.7%
Uppercase Letter 3
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 9
 
5.4%
메 8
 
4.8%
디 8
 
4.8%
이 6
 
3.6%
주 6
 
3.6%
청 5
 
3.0%
칼 5
 
3.0%
스 5
 
3.0%
지 4
 
2.4%
보 4
 
2.4%
Other values (67) 106
63.9%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
M 1
33.3%
T 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166
88.8%
Common 18
 
9.6%
Latin 3
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 9
 
5.4%
메 8
 
4.8%
디 8
 
4.8%
이 6
 
3.6%
주 6
 
3.6%
청 5
 
3.0%
칼 5
 
3.0%
스 5
 
3.0%
지 4
 
2.4%
보 4
 
2.4%
Other values (67) 106
63.9%
Common
ValueCountFrequency (%)
( 7
38.9%
) 6
33.3%
5
27.8%
Latin
ValueCountFrequency (%)
K 1
33.3%
M 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166
88.8%
ASCII 21
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 9
 
5.4%
메 8
 
4.8%
디 8
 
4.8%
이 6
 
3.6%
주 6
 
3.6%
청 5
 
3.0%
칼 5
 
3.0%
스 5
 
3.0%
지 4
 
2.4%
보 4
 
2.4%
Other values (67) 106
63.9%
ASCII
ValueCountFrequency (%)
( 7
33.3%
) 6
28.6%
5
23.8%
K 1
 
4.8%
M 1
 
4.8%
T 1
 
4.8%

최종수정일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2012-05-09 10:40:02
Maximum2024-04-29 08:22:35
2024-05-11T14:45:56.235752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:45:56.488886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
I
19 
U
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 19
73.1%
U 7
 
26.9%

Length

2024-05-11T14:45:56.739030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:56.997880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 19
73.1%
u 7
 
26.9%

데이터갱신일자
Categorical

Distinct12
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2018-10-11 15:46:28.0
14 
2022-12-05 22:05:00.0
2 
2020-12-17 02:40:00.0
 
1
2021-05-15 02:40:00.0
 
1
2021-01-10 02:40:00.0
 
1
Other values (7)
7 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique10 ?
Unique (%)38.5%

Sample

1st row2018-10-11 15:46:28.0
2nd row2018-10-11 15:46:28.0
3rd row2020-12-17 02:40:00.0
4th row2018-10-11 15:46:28.0
5th row2018-10-11 15:46:28.0

Common Values

ValueCountFrequency (%)
2018-10-11 15:46:28.0 14
53.8%
2022-12-05 22:05:00.0 2
 
7.7%
2020-12-17 02:40:00.0 1
 
3.8%
2021-05-15 02:40:00.0 1
 
3.8%
2021-01-10 02:40:00.0 1
 
3.8%
2020-11-29 02:40:00.0 1
 
3.8%
2019-04-10 02:20:18.0 1
 
3.8%
2020-08-14 00:23:32.0 1
 
3.8%
2023-12-03 22:06:00.0 1
 
3.8%
2021-03-05 00:23:00.0 1
 
3.8%
Other values (2) 2
 
7.7%

Length

2024-05-11T14:45:57.199270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-10-11 14
26.9%
15:46:28.0 14
26.9%
02:40:00.0 4
 
7.7%
2022-12-05 2
 
3.8%
22:05:00.0 2
 
3.8%
2023-12-03 1
 
1.9%
2023-12-05 1
 
1.9%
00:22:50.0 1
 
1.9%
2021-08-29 1
 
1.9%
00:23:00.0 1
 
1.9%
Other values (11) 11
21.2%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)92.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean207498.33
Minimum206315.62
Maximum209411.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T14:45:57.384003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206315.62
5-th percentile206361.74
Q1206901.74
median206993.88
Q3208184.33
95-th percentile209219.02
Maximum209411.8
Range3096.1827
Interquartile range (IQR)1282.5834

Descriptive statistics

Standard deviation920.57587
Coefficient of variation (CV)0.0044365458
Kurtosis-0.54532224
Mean207498.33
Median Absolute Deviation (MAD)447.6902
Skewness0.80131283
Sum5187458.3
Variance847459.92
MonotonicityNot monotonic
2024-05-11T14:45:57.567834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
206315.621494545 2
 
7.7%
206970.083435281 2
 
7.7%
206883.481470279 1
 
3.8%
206814.61345332 1
 
3.8%
206901.742619683 1
 
3.8%
206993.882836422 1
 
3.8%
208184.326061834 1
 
3.8%
209313.095099176 1
 
3.8%
207739.410619835 1
 
3.8%
208650.779946245 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
206315.621494545 2
7.7%
206546.192640006 1
3.8%
206814.61345332 1
3.8%
206817.637103405 1
3.8%
206883.481470279 1
3.8%
206901.742619683 1
3.8%
206919.336183385 1
3.8%
206934.477243713 1
3.8%
206970.083435281 2
7.7%
206993.672826978 1
3.8%
ValueCountFrequency (%)
209411.804210246 1
3.8%
209313.095099176 1
3.8%
208842.713556665 1
3.8%
208650.779946245 1
3.8%
208631.48839038 1
3.8%
208585.651427424 1
3.8%
208184.326061834 1
3.8%
207739.410619835 1
3.8%
207643.30627752 1
3.8%
207567.959992398 1
3.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)92.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean455323.08
Minimum453328.04
Maximum457462.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T14:45:57.740928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453328.04
5-th percentile453824.62
Q1454437.67
median455205.5
Q3456135.88
95-th percentile457209.36
Maximum457462.77
Range4134.7259
Interquartile range (IQR)1698.2169

Descriptive statistics

Standard deviation1197.8237
Coefficient of variation (CV)0.0026307117
Kurtosis-0.96212261
Mean455323.08
Median Absolute Deviation (MAD)901.94848
Skewness0.26502095
Sum11383077
Variance1434781.7
MonotonicityNot monotonic
2024-05-11T14:45:57.909402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
454437.665584554 2
 
7.7%
456891.430609643 2
 
7.7%
457101.541834183 1
 
3.8%
456135.882474094 1
 
3.8%
457236.317706626 1
 
3.8%
455380.498170548 1
 
3.8%
455200.329632942 1
 
3.8%
455395.101009893 1
 
3.8%
453827.725842437 1
 
3.8%
454303.555856487 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
453328.04078664 1
3.8%
453823.84477271 1
3.8%
453827.725842437 1
3.8%
453845.940787298 1
3.8%
454121.202613248 1
3.8%
454303.555856487 1
3.8%
454437.665584554 2
7.7%
454647.253982411 1
3.8%
454798.794640367 1
3.8%
455048.848204152 1
3.8%
ValueCountFrequency (%)
457462.766652935 1
3.8%
457236.317706626 1
3.8%
457101.541834183 1
3.8%
456891.430609643 2
7.7%
456506.963985299 1
3.8%
456135.882474094 1
3.8%
455884.764050862 1
3.8%
455755.047116973 1
3.8%
455408.951348267 1
3.8%
455395.101009893 1
3.8%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03060000PHMG32004306003404740000120041220<NA>3폐업3폐업20140530<NA><NA><NA>975-1428<NA>131846서울특별시 중랑구 묵1동 2번지 현동빌딩 402호서울특별시 중랑구 신내로25가길 2 (묵동)131846네오테크2014-05-30 13:33:18I2018-10-11 15:46:28.0<NA>207357.595178457462.766653<NA><NA><NA><NA>
13060000PHMG32005306003404740000120050107<NA>3폐업24직권폐업20121128<NA><NA><NA>3445-9450<NA>131875서울특별시 중랑구 중화1동 284번지 1호 한스빌딩 5층서울특별시 중랑구 동일로 824 (중화동)131875아우디보청기(주)2012-11-30 17:37:02I2018-10-11 15:46:28.0<NA>206934.477244455755.047117<NA><NA><NA><NA>
23060000PHMG32011306003404740000120110311<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 364-50 아름빌딩서울특별시 중랑구 용마산로116길 6, 아름빌딩 (망우동)2176누리케어2020-12-15 14:41:55U2020-12-17 02:40:00.0<NA>208842.713557455205.50434<NA><NA><NA><NA>
33060000PHMG32011306003404740000220110317<NA>3폐업3폐업20170516<NA><NA><NA><NA><NA>131233서울특별시 중랑구 망우3동 461번지 30호 1층 베스트케어서울특별시 중랑구 봉우재로 231 (망우동)2172베스트케어2017-05-16 16:46:55I2018-10-11 15:46:28.0<NA>208631.48839454798.79464<NA><NA><NA><NA>
43060000PHMG32011306003404740000420110808<NA>3폐업3폐업20171231<NA><NA><NA>2277-8119<NA>131859서울특별시 중랑구 상봉동 107번지 46호 12통 7반서울특별시 중랑구 면목로88길 5, 1층 (상봉동)2154씨엠건강의료기2017-12-21 14:03:44I2018-10-11 15:46:28.0<NA>207567.959992454647.253982<NA><NA><NA><NA>
53060000PHMG32011306003404740000520110808<NA>3폐업3폐업20121203<NA><NA><NA>493-7733<NA>131848서울특별시 중랑구 묵1동 294번지 56호 3층서울특별시 중랑구 숙선옹주로 28 (묵동)131848(주)충효메디칼교역2012-12-04 14:33:25I2018-10-11 15:46:28.0<NA>206970.083435456891.43061<NA><NA><NA><NA>
63060000PHMG32011306003404740000620110808<NA>3폐업3폐업20130308<NA><NA><NA>2207-2344<NA>131821서울특별시 중랑구 면목5동 162번지 79호서울특별시 중랑구 동일로 582 (면목동)131821우주상사2013-03-11 17:25:11I2018-10-11 15:46:28.0<NA>206993.672827453328.040787<NA><NA><NA><NA>
73060000PHMG32011306003404740000720110808<NA>3폐업3폐업20160908<NA><NA><NA>838-5033<NA>131821서울특별시 중랑구 면목5동 150번지 1호 동방빌딩 6층서울특별시 중랑구 겸재로 126 (면목동)2215케이엠티((KMT)2016-09-12 14:02:49I2018-10-11 15:46:28.0<NA>207153.734557453845.940787<NA><NA><NA><NA>
83060000PHMG32011306003404740000820110808<NA>3폐업3폐업20120509<NA><NA><NA>969-9910<NA>131880서울특별시 중랑구 중화2동 301번지 56호 1층서울특별시 중랑구 동일로123길 16, 1층 (중화동)131880동화메디칼2012-05-09 10:40:02I2018-10-11 15:46:28.0<NA>206919.336183455048.848204<NA><NA><NA><NA>
93060000PHMG32012306003404740000120120118<NA>3폐업3폐업20141104<NA><NA><NA>02-744-7558<NA>131848서울특별시 중랑구 묵동 176번지 35호서울특별시 중랑구 동일로 900 (묵동)131848소리샘보청기 중랑점 소망난청센터2014-11-04 16:30:46I2018-10-11 15:46:28.0<NA>206817.637103456506.963985<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
163060000PHMG32015306003404740000120150422<NA>3폐업3폐업20170425<NA><NA><NA><NA><NA>131824서울특별시 중랑구 면목동 192번지 51호서울특별시 중랑구 봉우재로 12 (면목동)2132중랑델코2017-04-25 13:53:19I2018-10-11 15:46:28.0<NA>206546.19264454121.202613<NA><NA><NA><NA>
173060000PHMG32017306003404740000120170411<NA>3폐업3폐업20201123<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 용마산로118길 124 (망우동, 2층)2066후야테크2020-11-27 13:40:34U2020-11-29 02:40:00.0<NA>209411.80421455408.951348<NA><NA><NA><NA>
183060000PHMG32018306003404740000120180214<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2209-1639<NA><NA>서울특별시 중랑구 망우동 441번지 38호 1층101호서울특별시 중랑구 용마산로96가길 14-3, 1층 101호 (망우동)2188메디럭스2018-02-21 15:15:18I2018-10-11 15:46:28.0<NA>208650.779946454303.555856<NA><NA><NA><NA>
193060000PHMG32019306003404740000120190404<NA>1영업/정상13영업중<NA><NA><NA><NA>02-434-4606<NA><NA>서울특별시 중랑구 면목동 1161번지 1호 2층201호서울특별시 중랑구 면목로66길 3, 2층 201호 (면목동)2197벨톤보청기 중랑지사2019-04-08 16:39:43I2019-04-10 02:20:18.0<NA>207739.41062453827.725842<NA><NA><NA><NA>
203060000PHMG32020306003404740000120200812<NA>1영업/정상13영업중<NA><NA><NA><NA>02-858-1084<NA><NA>서울특별시 중랑구 망우동 134-22 성암빌딩서울특별시 중랑구 망우로 487, 성암빌딩 2층 (망우동)2066메디인2020-08-12 13:19:53I2020-08-14 00:23:32.0<NA>209313.095099455395.10101<NA><NA><NA><NA>
213060000PHMG3202130600340474000012021-01-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-432-0691<NA><NA>서울특별시 중랑구 상봉동 50-8서울특별시 중랑구 망우로55길 25, 1층 (상봉동)2086중랑 장애인이동기기수리센터2024-04-24 17:36:12U2023-12-03 22:06:00.0<NA>208184.326062455200.329633<NA><NA><NA><NA>
223060000PHMG32021306003404740000220210226<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 중화동 288-1 두암빌딩서울특별시 중랑구 동일로 786, 두암빌딩 1층 103호 (중화동)2088동아의료기2021-03-03 09:46:18I2021-03-05 00:23:00.0<NA>206993.882836455380.498171<NA><NA><NA><NA>
233060000PHMG3202130600340474000032021-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 160-26서울특별시 중랑구 공릉로 79, 3층 (묵동)2018(주)뉴로포스2023-06-23 14:25:53U2022-12-05 22:05:00.0<NA>206901.74262457236.317707<NA><NA><NA><NA>
243060000PHMG32021306003404740000420100621<NA>1영업/정상13영업중<NA><NA><NA><NA>926-8671<NA><NA>서울특별시 중랑구 신내동 821-2서울특별시 중랑구 신내역로 111, SKV1센터 A1111호 (신내동)2262천지인메디칼2021-08-27 10:21:26I2021-08-29 00:22:50.0<NA><NA><NA><NA><NA><NA><NA>
253060000PHMG3202430600340474000012024-04-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3296-3344<NA><NA>서울특별시 중랑구 묵동 245-4서울특별시 중랑구 동일로 865, 2층 (묵동)2010이경원보청기2024-04-29 08:22:35I2023-12-05 00:01:00.0<NA>206814.613453456135.882474<NA><NA><NA><NA>