Overview

Dataset statistics

Number of variables29
Number of observations26
Missing cells301
Missing cells (%)39.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory255.1 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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-16418/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 26 (100.0%) missing valuesMissing
폐업일자 has 13 (50.0%) 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 5 (19.2%) missing valuesMissing
소재지면적 has 26 (100.0%) missing valuesMissing
소재지우편번호 has 11 (42.3%) missing valuesMissing
도로명주소 has 5 (19.2%) missing valuesMissing
도로명우편번호 has 5 (19.2%) 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
인허가일자 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 03:34:06.968765
Analysis finished2024-05-11 03:34:07.874394
Duration0.91 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
3120000
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 26
100.0%

Length

2024-05-11T03:34:08.129094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:34:08.516251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 26
100.0%

관리번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T03:34:09.294842image/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 rowPHMG320043120033047400001
2nd rowPHMG320043120033047400002
3rd rowPHMG320043120033047400003
4th rowPHMG320053120033047400001
5th rowPHMG320053120033047400002
ValueCountFrequency (%)
phmg320043120033047400001 1
 
3.8%
phmg320043120033047400002 1
 
3.8%
phmg320223120033047400001 1
 
3.8%
phmg320203120033047400001 1
 
3.8%
phmg320183120033047400002 1
 
3.8%
phmg320183120033047400001 1
 
3.8%
phmg320173120033047400001 1
 
3.8%
phmg320163120033047400002 1
 
3.8%
phmg320163120033047400001 1
 
3.8%
phmg320143120033047400001 1
 
3.8%
Other values (16) 16
61.5%
2024-05-11T03:34:10.519618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 222
34.2%
3 108
16.6%
2 63
 
9.7%
4 57
 
8.8%
1 56
 
8.6%
7 27
 
4.2%
P 26
 
4.0%
H 26
 
4.0%
M 26
 
4.0%
G 26
 
4.0%
Other values (4) 13
 
2.0%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 222
40.7%
3 108
19.8%
2 63
 
11.5%
4 57
 
10.4%
1 56
 
10.3%
7 27
 
4.9%
5 6
 
1.1%
6 3
 
0.5%
8 3
 
0.5%
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 (%)
0 222
40.7%
3 108
19.8%
2 63
 
11.5%
4 57
 
10.4%
1 56
 
10.3%
7 27
 
4.9%
5 6
 
1.1%
6 3
 
0.5%
8 3
 
0.5%
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 (%)
0 222
34.2%
3 108
16.6%
2 63
 
9.7%
4 57
 
8.8%
1 56
 
8.6%
7 27
 
4.2%
P 26
 
4.0%
H 26
 
4.0%
M 26
 
4.0%
G 26
 
4.0%
Other values (4) 13
 
2.0%

인허가일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2004-10-19 00:00:00
Maximum2023-08-10 00:00:00
2024-05-11T03:34:11.106324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:34:11.695129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태코드
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
3
13 
1
12 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
3 13
50.0%
1 12
46.2%
5 1
 
3.8%

Length

2024-05-11T03:34:12.578616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:34:12.873367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 13
50.0%
1 12
46.2%
5 1
 
3.8%

영업상태명
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
폐업
13 
영업/정상
12 
제외/삭제/전출
 
1

Length

Max length8
Median length6.5
Mean length3.6153846
Min length2

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 13
50.0%
영업/정상 12
46.2%
제외/삭제/전출 1
 
3.8%

Length

2024-05-11T03:34:13.231237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:34:13.601849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 13
50.0%
영업/정상 12
46.2%
제외/삭제/전출 1
 
3.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
3
13 
13
12 
15
 
1

Length

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

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
3 13
50.0%
13 12
46.2%
15 1
 
3.8%

Length

2024-05-11T03:34:14.095416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:34:14.519103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 13
50.0%
13 12
46.2%
15 1
 
3.8%

상세영업상태명
Categorical

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

Length

Max length3
Median length2
Mean length2.4615385
Min length2

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

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

Length

2024-05-11T03:34:14.912688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:34:15.228075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 13
50.0%
영업중 12
46.2%
전출 1
 
3.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing13
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean20152211
Minimum20110707
Maximum20210527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T03:34:15.590559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110707
5-th percentile20110715
Q120121221
median20140813
Q320180930
95-th percentile20210408
Maximum20210527
Range99820
Interquartile range (IQR)59709

Descriptive statistics

Standard deviation36175.554
Coefficient of variation (CV)0.0017951159
Kurtosis-1.1751735
Mean20152211
Median Absolute Deviation (MAD)20004
Skewness0.52409202
Sum2.6197874 × 108
Variance1.3086707 × 109
MonotonicityNot monotonic
2024-05-11T03:34:15.980791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
20130503 1
 
3.8%
20210527 1
 
3.8%
20160111 1
 
3.8%
20110707 1
 
3.8%
20110721 1
 
3.8%
20210329 1
 
3.8%
20130123 1
 
3.8%
20121023 1
 
3.8%
20140813 1
 
3.8%
20121221 1
 
3.8%
Other values (3) 3
 
11.5%
(Missing) 13
50.0%
ValueCountFrequency (%)
20110707 1
3.8%
20110721 1
3.8%
20121023 1
3.8%
20121221 1
3.8%
20130123 1
3.8%
20130503 1
3.8%
20140813 1
3.8%
20160111 1
3.8%
20160817 1
3.8%
20180930 1
3.8%
ValueCountFrequency (%)
20210527 1
3.8%
20210329 1
3.8%
20190918 1
3.8%
20180930 1
3.8%
20160817 1
3.8%
20160111 1
3.8%
20140813 1
3.8%
20130503 1
3.8%
20130123 1
3.8%
20121221 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 

Distinct20
Distinct (%)95.2%
Missing5
Missing (%)19.2%
Memory size340.0 B
2024-05-11T03:34:16.437691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.52381
Min length11

Characters and Unicode

Total characters242
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st row02-312-4353
2nd row02-354-8452
3rd row02-313-2272
4th row02-363-9462
5th row02-303-3262
ValueCountFrequency (%)
02-363-4727 2
 
9.5%
02-730-0008 1
 
4.8%
02-312-4353 1
 
4.8%
070-4403-0575 1
 
4.8%
02-2277-8670 1
 
4.8%
02-6356-6003 1
 
4.8%
02-6396-0510 1
 
4.8%
070-7549-1970 1
 
4.8%
02-2227-7930 1
 
4.8%
02-6326-2876 1
 
4.8%
Other values (10) 10
47.6%
2024-05-11T03:34:17.628851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 42
17.4%
- 42
17.4%
2 39
16.1%
3 34
14.0%
7 21
8.7%
6 17
7.0%
4 11
 
4.5%
9 11
 
4.5%
5 11
 
4.5%
8 7
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 200
82.6%
Dash Punctuation 42
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 42
21.0%
2 39
19.5%
3 34
17.0%
7 21
10.5%
6 17
8.5%
4 11
 
5.5%
9 11
 
5.5%
5 11
 
5.5%
8 7
 
3.5%
1 7
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 242
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 42
17.4%
- 42
17.4%
2 39
16.1%
3 34
14.0%
7 21
8.7%
6 17
7.0%
4 11
 
4.5%
9 11
 
4.5%
5 11
 
4.5%
8 7
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 242
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 42
17.4%
- 42
17.4%
2 39
16.1%
3 34
14.0%
7 21
8.7%
6 17
7.0%
4 11
 
4.5%
9 11
 
4.5%
5 11
 
4.5%
8 7
 
2.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)80.0%
Missing11
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean120429.87
Minimum120040
Maximum120861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T03:34:18.000391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120040
5-th percentile120040
Q1120092
median120180
Q3120804
95-th percentile120856.8
Maximum120861
Range821
Interquartile range (IQR)712

Descriptive statistics

Standard deviation367.02294
Coefficient of variation (CV)0.0030476073
Kurtosis-2.1864142
Mean120429.87
Median Absolute Deviation (MAD)140
Skewness0.15339559
Sum1806448
Variance134705.84
MonotonicityNot monotonic
2024-05-11T03:34:18.512182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
120180 2
 
7.7%
120040 2
 
7.7%
120091 2
 
7.7%
120844 1
 
3.8%
120848 1
 
3.8%
120708 1
 
3.8%
120101 1
 
3.8%
120093 1
 
3.8%
120764 1
 
3.8%
120855 1
 
3.8%
Other values (2) 2
 
7.7%
(Missing) 11
42.3%
ValueCountFrequency (%)
120040 2
7.7%
120091 2
7.7%
120093 1
3.8%
120101 1
3.8%
120180 2
7.7%
120708 1
3.8%
120752 1
3.8%
120764 1
3.8%
120844 1
3.8%
120848 1
3.8%
ValueCountFrequency (%)
120861 1
3.8%
120855 1
3.8%
120848 1
3.8%
120844 1
3.8%
120764 1
3.8%
120752 1
3.8%
120708 1
3.8%
120180 2
7.7%
120101 1
3.8%
120093 1
3.8%

지번주소
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T03:34:19.087853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length28.115385
Min length19

Characters and Unicode

Total characters731
Distinct characters79
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

Unique24 ?
Unique (%)92.3%

Sample

1st row서울특별시 서대문구 홍은2동 90번지 2호
2nd row서울특별시 서대문구 창천동 449번지 1호
3rd row서울특별시 서대문구 홍은1동 405번지 8호 현대빌딩 3층
4th row서울특별시 서대문구 충정로3가 222번지 806호
5th row서울특별시 서대문구 천연동 48번지 5호
ValueCountFrequency (%)
서울특별시 26
 
17.4%
서대문구 26
 
17.4%
충정로3가 5
 
3.4%
창천동 4
 
2.7%
홍제1동 4
 
2.7%
연희동 3
 
2.0%
제지층 2
 
1.3%
3층 2
 
1.3%
홍제3동 2
 
1.3%
465번지 2
 
1.3%
Other values (63) 73
49.0%
2024-05-11T03:34:20.377121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
123
 
16.8%
서 52
 
7.1%
대 30
 
4.1%
시 28
 
3.8%
문 27
 
3.7%
1 27
 
3.7%
구 26
 
3.6%
울 26
 
3.6%
별 26
 
3.6%
특 26
 
3.6%
Other values (69) 340
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 468
64.0%
Decimal Number 130
 
17.8%
Space Separator 123
 
16.8%
Uppercase Letter 5
 
0.7%
Dash Punctuation 3
 
0.4%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 52
 
11.1%
대 30
 
6.4%
시 28
 
6.0%
문 27
 
5.8%
구 26
 
5.6%
울 26
 
5.6%
별 26
 
5.6%
특 26
 
5.6%
지 25
 
5.3%
동 23
 
4.9%
Other values (50) 179
38.2%
Decimal Number
ValueCountFrequency (%)
1 27
20.8%
2 17
13.1%
0 17
13.1%
3 16
12.3%
4 15
11.5%
5 11
8.5%
9 8
 
6.2%
7 8
 
6.2%
6 6
 
4.6%
8 5
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
E 1
20.0%
H 1
20.0%
S 1
20.0%
O 1
20.0%
M 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
123
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 468
64.0%
Common 258
35.3%
Latin 5
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 52
 
11.1%
대 30
 
6.4%
시 28
 
6.0%
문 27
 
5.8%
구 26
 
5.6%
울 26
 
5.6%
별 26
 
5.6%
특 26
 
5.6%
지 25
 
5.3%
동 23
 
4.9%
Other values (50) 179
38.2%
Common
ValueCountFrequency (%)
123
47.7%
1 27
 
10.5%
2 17
 
6.6%
0 17
 
6.6%
3 16
 
6.2%
4 15
 
5.8%
5 11
 
4.3%
9 8
 
3.1%
7 8
 
3.1%
6 6
 
2.3%
Other values (4) 10
 
3.9%
Latin
ValueCountFrequency (%)
E 1
20.0%
H 1
20.0%
S 1
20.0%
O 1
20.0%
M 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 468
64.0%
ASCII 263
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
123
46.8%
1 27
 
10.3%
2 17
 
6.5%
0 17
 
6.5%
3 16
 
6.1%
4 15
 
5.7%
5 11
 
4.2%
9 8
 
3.0%
7 8
 
3.0%
6 6
 
2.3%
Other values (9) 15
 
5.7%
Hangul
ValueCountFrequency (%)
서 52
 
11.1%
대 30
 
6.4%
시 28
 
6.0%
문 27
 
5.8%
구 26
 
5.6%
울 26
 
5.6%
별 26
 
5.6%
특 26
 
5.6%
지 25
 
5.3%
동 23
 
4.9%
Other values (50) 179
38.2%

도로명주소
Text

MISSING 

Distinct20
Distinct (%)95.2%
Missing5
Missing (%)19.2%
Memory size340.0 B
2024-05-11T03:34:21.000415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length32.904762
Min length24

Characters and Unicode

Total characters691
Distinct characters86
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

Unique19 ?
Unique (%)90.5%

Sample

1st row서울특별시 서대문구 통일로 497 (홍은동)
2nd row서울특별시 서대문구 모래내로 285 (홍은동)
3rd row서울특별시 서대문구 충정로 50, 806호 (충정로3가, 골든브릿지빌딩)
4th row서울특별시 서대문구 통일로 173-58 (천연동)
5th row서울특별시 서대문구 충정로 23, 풍산빌딩 6,7층 (충정로3가)
ValueCountFrequency (%)
서울특별시 21
 
15.8%
서대문구 21
 
15.8%
홍제동 6
 
4.5%
충정로3가 5
 
3.8%
통일로 4
 
3.0%
연희동 3
 
2.3%
2층 3
 
2.3%
모래내로 2
 
1.5%
성산로 2
 
1.5%
창천동 2
 
1.5%
Other values (55) 64
48.1%
2024-05-11T03:34:22.146106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
 
16.2%
서 44
 
6.4%
로 25
 
3.6%
, 24
 
3.5%
시 23
 
3.3%
대 23
 
3.3%
문 23
 
3.3%
( 21
 
3.0%
) 21
 
3.0%
울 21
 
3.0%
Other values (76) 354
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 411
59.5%
Space Separator 112
 
16.2%
Decimal Number 92
 
13.3%
Other Punctuation 25
 
3.6%
Open Punctuation 21
 
3.0%
Close Punctuation 21
 
3.0%
Uppercase Letter 5
 
0.7%
Dash Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 44
 
10.7%
로 25
 
6.1%
시 23
 
5.6%
대 23
 
5.6%
문 23
 
5.6%
울 21
 
5.1%
구 21
 
5.1%
별 21
 
5.1%
특 21
 
5.1%
동 17
 
4.1%
Other values (55) 172
41.8%
Decimal Number
ValueCountFrequency (%)
2 17
18.5%
1 16
17.4%
3 11
12.0%
7 9
9.8%
4 8
8.7%
0 8
8.7%
5 8
8.7%
9 6
 
6.5%
8 5
 
5.4%
6 4
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
E 1
20.0%
M 1
20.0%
O 1
20.0%
H 1
20.0%
S 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 24
96.0%
. 1
 
4.0%
Space Separator
ValueCountFrequency (%)
112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 411
59.5%
Common 275
39.8%
Latin 5
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 44
 
10.7%
로 25
 
6.1%
시 23
 
5.6%
대 23
 
5.6%
문 23
 
5.6%
울 21
 
5.1%
구 21
 
5.1%
별 21
 
5.1%
특 21
 
5.1%
동 17
 
4.1%
Other values (55) 172
41.8%
Common
ValueCountFrequency (%)
112
40.7%
, 24
 
8.7%
( 21
 
7.6%
) 21
 
7.6%
2 17
 
6.2%
1 16
 
5.8%
3 11
 
4.0%
7 9
 
3.3%
4 8
 
2.9%
0 8
 
2.9%
Other values (6) 28
 
10.2%
Latin
ValueCountFrequency (%)
E 1
20.0%
M 1
20.0%
O 1
20.0%
H 1
20.0%
S 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 411
59.5%
ASCII 280
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
40.0%
, 24
 
8.6%
( 21
 
7.5%
) 21
 
7.5%
2 17
 
6.1%
1 16
 
5.7%
3 11
 
3.9%
7 9
 
3.2%
4 8
 
2.9%
0 8
 
2.9%
Other values (11) 33
 
11.8%
Hangul
ValueCountFrequency (%)
서 44
 
10.7%
로 25
 
6.1%
시 23
 
5.6%
대 23
 
5.6%
문 23
 
5.6%
울 21
 
5.1%
구 21
 
5.1%
별 21
 
5.1%
특 21
 
5.1%
동 17
 
4.1%
Other values (55) 172
41.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)90.5%
Missing5
Missing (%)19.2%
Infinite0
Infinite (%)0.0%
Mean14863.381
Minimum3629
Maximum120863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T03:34:22.770841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3629
5-th percentile3633
Q13663
median3722
Q33741
95-th percentile120854
Maximum120863
Range117234
Interquartile range (IQR)78

Descriptive statistics

Standard deviation35238.636
Coefficient of variation (CV)2.3708358
Kurtosis7.5622896
Mean14863.381
Median Absolute Deviation (MAD)19
Skewness2.9745876
Sum312131
Variance1.2417615 × 109
MonotonicityNot monotonic
2024-05-11T03:34:23.144669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3737 2
 
7.7%
3741 2
 
7.7%
3641 1
 
3.8%
3707 1
 
3.8%
3779 1
 
3.8%
3704 1
 
3.8%
3633 1
 
3.8%
3721 1
 
3.8%
3722 1
 
3.8%
3647 1
 
3.8%
Other values (9) 9
34.6%
(Missing) 5
19.2%
ValueCountFrequency (%)
3629 1
3.8%
3633 1
3.8%
3641 1
3.8%
3646 1
3.8%
3647 1
3.8%
3663 1
3.8%
3703 1
3.8%
3704 1
3.8%
3707 1
3.8%
3721 1
3.8%
ValueCountFrequency (%)
120863 1
3.8%
120854 1
3.8%
3789 1
3.8%
3779 1
3.8%
3741 2
7.7%
3740 1
3.8%
3737 2
7.7%
3734 1
3.8%
3722 1
3.8%
3721 1
3.8%

사업장명
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T03:34:23.746031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length14.5
Mean length9.2307692
Min length4

Characters and Unicode

Total characters240
Distinct characters97
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

Unique22 ?
Unique (%)84.6%

Sample

1st row성창상사
2nd row파나소닉신촌센타
3rd row(주)한림메디칼
4th row(주)지씨코리아
5th row(주)태양메디텍
ValueCountFrequency (%)
주)진산메디칼 2
 
5.9%
디센코리아 2
 
5.9%
성창상사 1
 
2.9%
메디칼 1
 
2.9%
에이치에스 1
 
2.9%
한국지점 1
 
2.9%
주식회사 1
 
2.9%
도시바테크니컬서비스인터내셔널 1
 
2.9%
종로대리점 1
 
2.9%
한신메디칼 1
 
2.9%
Other values (22) 22
64.7%
2024-05-11T03:34:24.977976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 12
 
5.0%
) 12
 
5.0%
주 11
 
4.6%
디 9
 
3.8%
8
 
3.3%
센 7
 
2.9%
기 6
 
2.5%
메 6
 
2.5%
스 6
 
2.5%
지 6
 
2.5%
Other values (87) 157
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 200
83.3%
Open Punctuation 12
 
5.0%
Close Punctuation 12
 
5.0%
Space Separator 8
 
3.3%
Uppercase Letter 5
 
2.1%
Decimal Number 3
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 11
 
5.5%
디 9
 
4.5%
센 7
 
3.5%
기 6
 
3.0%
메 6
 
3.0%
스 6
 
3.0%
지 6
 
3.0%
대 6
 
3.0%
서 6
 
3.0%
칼 5
 
2.5%
Other values (77) 132
66.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
20.0%
A 1
20.0%
L 1
20.0%
P 1
20.0%
N 1
20.0%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
1 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 200
83.3%
Common 35
 
14.6%
Latin 5
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 11
 
5.5%
디 9
 
4.5%
센 7
 
3.5%
기 6
 
3.0%
메 6
 
3.0%
스 6
 
3.0%
지 6
 
3.0%
대 6
 
3.0%
서 6
 
3.0%
칼 5
 
2.5%
Other values (77) 132
66.0%
Common
ValueCountFrequency (%)
( 12
34.3%
) 12
34.3%
8
22.9%
0 2
 
5.7%
1 1
 
2.9%
Latin
ValueCountFrequency (%)
B 1
20.0%
A 1
20.0%
L 1
20.0%
P 1
20.0%
N 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 200
83.3%
ASCII 40
 
16.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 12
30.0%
) 12
30.0%
8
20.0%
0 2
 
5.0%
B 1
 
2.5%
A 1
 
2.5%
L 1
 
2.5%
P 1
 
2.5%
N 1
 
2.5%
1 1
 
2.5%
Hangul
ValueCountFrequency (%)
주 11
 
5.5%
디 9
 
4.5%
센 7
 
3.5%
기 6
 
3.0%
메 6
 
3.0%
스 6
 
3.0%
지 6
 
3.0%
대 6
 
3.0%
서 6
 
3.0%
칼 5
 
2.5%
Other values (77) 132
66.0%

최종수정일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2011-07-07 11:09:42
Maximum2023-08-21 15:22:16
2024-05-11T03:34:25.558519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:34:26.062987image/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

2024-05-11T03:34:26.493982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:34:26.952038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 19
73.1%
u 7
 
26.9%

데이터갱신일자
Date

Distinct11
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2018-10-11 15:46:28
Maximum2022-12-07 22:03:00
2024-05-11T03:34:27.278578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:34:27.762299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)96.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean195056.9
Minimum193357.12
Maximum196851.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T03:34:28.260005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum193357.12
5-th percentile193416.25
Q1194051.5
median194920.53
Q3196565.37
95-th percentile196824.07
Maximum196851.91
Range3494.7887
Interquartile range (IQR)2513.8667

Descriptive statistics

Standard deviation1235.2768
Coefficient of variation (CV)0.0063329048
Kurtosis-1.3578748
Mean195056.9
Median Absolute Deviation (MAD)1114.161
Skewness0.25600534
Sum4876422.4
Variance1525908.7
MonotonicityNot monotonic
2024-05-11T03:34:28.711202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
196824.072701729 2
 
7.7%
194705.292356713 1
 
3.8%
194920.532436667 1
 
3.8%
193393.590064884 1
 
3.8%
194488.057623671 1
 
3.8%
196763.23582904 1
 
3.8%
193357.118802013 1
 
3.8%
195554.917820865 1
 
3.8%
195094.735127826 1
 
3.8%
194584.959249312 1
 
3.8%
Other values (14) 14
53.8%
ValueCountFrequency (%)
193357.118802013 1
3.8%
193393.590064884 1
3.8%
193506.866929194 1
3.8%
193682.492794534 1
3.8%
193697.278144673 1
3.8%
193806.371391457 1
3.8%
194051.501128085 1
3.8%
194175.334920472 1
3.8%
194317.290533569 1
3.8%
194488.057623671 1
3.8%
ValueCountFrequency (%)
196851.907463121 1
3.8%
196824.072701729 2
7.7%
196763.23582904 1
3.8%
196662.335160742 1
3.8%
196614.522923321 1
3.8%
196565.367790744 1
3.8%
195554.917820865 1
3.8%
195494.535985653 1
3.8%
195429.625202935 1
3.8%
195094.735127826 1
3.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)96.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean452134.51
Minimum450433.13
Maximum454767.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T03:34:29.088783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450433.13
5-th percentile450534.12
Q1451014.87
median451834.7
Q3453486.29
95-th percentile454390.67
Maximum454767.56
Range4334.4275
Interquartile range (IQR)2471.4198

Descriptive statistics

Standard deviation1342.5013
Coefficient of variation (CV)0.002969252
Kurtosis-1.0243924
Mean452134.51
Median Absolute Deviation (MAD)944.03627
Skewness0.58516519
Sum11303363
Variance1802309.8
MonotonicityNot monotonic
2024-05-11T03:34:29.500380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
450890.664072337 2
 
7.7%
454441.256020904 1
 
3.8%
454188.343575118 1
 
3.8%
451598.501282638 1
 
3.8%
450506.328507824 1
 
3.8%
451217.585517322 1
 
3.8%
451879.97346444 1
 
3.8%
453486.292552362 1
 
3.8%
451397.124442716 1
 
3.8%
451381.585492051 1
 
3.8%
Other values (14) 14
53.8%
ValueCountFrequency (%)
450433.131859398 1
3.8%
450506.328507824 1
3.8%
450645.28048029 1
3.8%
450890.664072337 2
7.7%
450999.900043141 1
3.8%
451014.872787929 1
3.8%
451181.654966493 1
3.8%
451217.585517322 1
3.8%
451381.585492051 1
3.8%
451397.124442716 1
3.8%
ValueCountFrequency (%)
454767.559360751 1
3.8%
454441.256020904 1
3.8%
454188.343575118 1
3.8%
453730.452826514 1
3.8%
453713.396935608 1
3.8%
453497.935606549 1
3.8%
453486.292552362 1
3.8%
453009.959292909 1
3.8%
452831.074682367 1
3.8%
451969.813811326 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
03120000PHMG32004312003304740000120041019<NA>1영업/정상13영업중<NA><NA><NA><NA>02-312-4353<NA>120844서울특별시 서대문구 홍은2동 90번지 2호서울특별시 서대문구 통일로 497 (홍은동)3647성창상사2011-11-02 18:07:13I2018-10-11 15:46:28.0<NA>194705.292357454441.256021<NA><NA><NA><NA>
13120000PHMG32004312003304740000220041111<NA>3폐업3폐업20130503<NA><NA><NA>02-354-8452<NA>120180서울특별시 서대문구 창천동 449번지 1호<NA><NA>파나소닉신촌센타2013-05-03 13:20:25I2018-10-11 15:46:28.0<NA>193506.866929451014.872788<NA><NA><NA><NA>
23120000PHMG32004312003304740000320041230<NA>3폐업3폐업20210527<NA><NA><NA><NA><NA>120848서울특별시 서대문구 홍은1동 405번지 8호 현대빌딩 3층서울특별시 서대문구 모래내로 285 (홍은동)3663(주)한림메디칼2021-05-27 15:27:46U2021-05-29 02:40:00.0<NA>193697.278145452831.074682<NA><NA><NA><NA>
33120000PHMG32005312003304740000120050511<NA>3폐업3폐업20160111<NA><NA><NA>02-313-2272<NA>120708서울특별시 서대문구 충정로3가 222번지 806호서울특별시 서대문구 충정로 50, 806호 (충정로3가, 골든브릿지빌딩)3740(주)지씨코리아2016-01-14 12:32:04I2018-10-11 15:46:28.0<NA>196851.907463451181.654966<NA><NA><NA><NA>
43120000PHMG32005312003304740000220050525<NA>1영업/정상13영업중<NA><NA><NA><NA>02-363-9462<NA>120040서울특별시 서대문구 천연동 48번지 5호서울특별시 서대문구 통일로 173-58 (천연동)3734(주)태양메디텍2013-08-14 11:06:27I2018-10-11 15:46:28.0<NA>196565.367791451834.700343<NA><NA><NA><NA>
53120000PHMG32005312003304740000320050310<NA>3폐업3폐업20110707<NA><NA><NA>02-303-3262<NA>120101서울특별시 서대문구 홍은1동 275번지 54호 신성빌딩 3층<NA><NA>근화양행2011-07-07 11:09:42I2018-10-11 15:46:28.0<NA>194051.501128453009.959293<NA><NA><NA><NA>
63120000PHMG32005312003304740000420050223<NA>3폐업3폐업20110721<NA><NA><NA>02-363-4727<NA>120040서울특별시 서대문구 천연동 59번지<NA><NA>(주)진산메디칼2011-07-21 14:24:58I2018-10-11 15:46:28.0<NA>196614.522923451854.726463<NA><NA><NA><NA>
73120000PHMG32005312003304740000520050323<NA>5제외/삭제/전출15전출<NA><NA><NA><NA>02-3450-7283<NA><NA>서울특별시 서대문구 충정로3가 470번지 풍산빌딩 6,7층서울특별시 서대문구 충정로 23, 풍산빌딩 6,7층 (충정로3가)3737지멘스헬시니어스(주)2022-03-28 14:30:58U2021-12-02 21:00:00.0<NA>196662.335161450999.900043<NA><NA><NA><NA>
83120000PHMG32006312003304740000120060601<NA>3폐업3폐업20210329<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 122번지 6호 S.HOME서울특별시 서대문구 증가로 21, 2층 (연희동, S.HOME)3703(주)네오디아2021-03-29 16:11:50U2021-03-31 02:40:00.0<NA>193806.371391451969.813811<NA><NA><NA><NA>
93120000PHMG32008312003304740000120081125<NA>3폐업3폐업20130123<NA><NA><NA>02-332-9880<NA>120180서울특별시 서대문구 창천동 503번지 11호<NA><NA>(주)서대문센터2013-02-08 15:31:11I2018-10-11 15:46:28.0<NA>193682.492795450645.28048<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
163120000PHMG32013312003304740000120130528<NA>1영업/정상13영업중<NA><NA><NA><NA>02-363-4727<NA>120861서울특별시 서대문구 홍제1동 341번지 7호서울특별시 서대문구 홍제내2가길 20 (홍제동)3641(주)진산메디칼2022-01-04 13:19:25U2022-01-06 02:40:00.0<NA>194317.290534453730.452827<NA><NA><NA><NA>
173120000PHMG32014312003304740000120140227<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2227-7930<NA>120752서울특별시 서대문구 신촌동 134번지 연세대학교의료원 제중관 지하2층서울특별시 서대문구 연세로 50-1, 지하2층 (신촌동, 연세대학교의료원 제중관)3722(주)나라엘2014-05-15 16:02:46I2018-10-11 15:46:28.0<NA>194584.959249451381.585492<NA><NA><NA><NA>
183120000PHMG32016312003304740000120160523<NA>3폐업3폐업20160817<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 대신동 90번지 1호서울특별시 서대문구 성산로 543, 2층 (대신동, 국제빌딩)3721복음보청기2016-08-17 16:54:30I2018-10-11 15:46:28.0<NA>195094.735128451397.124443<NA><NA><NA><NA>
193120000PHMG32016312003304740000220161109<NA>3폐업3폐업20180930<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 충정로3가 465번지 충정리시온 제지층 제비101호서울특별시 서대문구 서소문로 27, 제지층 제비101호 (충정로3가, 충정리시온)3741디센코리아2018-10-01 11:25:51I2018-10-11 15:46:28.0<NA>196824.072702450890.664072<NA><NA><NA><NA>
203120000PHMG32017312003304740000120171220<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7549-1970<NA><NA>서울특별시 서대문구 홍제동 20-4 새샘교회서울특별시 서대문구 통일로28길 12, 새샘교회 1층 (홍제동)3633서대문장애인 이동기기수리지원센터2021-12-31 13:39:45U2022-01-02 02:40:00.0<NA>195554.917821453486.292552<NA><NA><NA><NA>
213120000PHMG32018312003304740000120180319<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6396-0510<NA><NA>서울특별시 서대문구 연희동 437번지 51호서울특별시 서대문구 연희로11마길 59-9, 2층 (연희동)3704플랜비(PLANB)2022-08-29 18:18:24U2021-12-07 21:01:00.0<NA>193357.118802451879.973464<NA><NA><NA><NA>
223120000PHMG32018312003304740000220181001<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6356-6003<NA><NA>서울특별시 서대문구 충정로3가 465번지 충정리시온 제지층 제비101호서울특별시 서대문구 서소문로 27, 제지층 제비101호 (충정로3가, 충정리시온)3741디센코리아2018-10-02 09:57:56I2018-10-11 15:46:28.0<NA>196824.072702450890.664072<NA><NA><NA><NA>
233120000PHMG32020312003304740000120200106<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2277-8670<NA><NA>서울특별시 서대문구 충정로3가 189번지 8호 미동아파트 109호서울특별시 서대문구 충정로7길 9, 109호 (충정로3가, 미동아파트)3737한신메디칼 종로대리점2020-01-06 13:02:52I2020-01-08 00:23:39.0<NA>196763.235829451217.585517<NA><NA><NA><NA>
243120000PHMG32022312003304740000120221122<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 29-5 스테이 더 디자이너스 신촌서울특별시 서대문구 연세로2나길 16, 202호 (창천동)3779도시바테크니컬서비스인터내셔널 주식회사 한국지점2022-11-29 17:07:33I2021-11-02 00:01:00.0<NA>194488.057624450506.328508<NA><NA><NA><NA>
253120000PHMG3202331200330474000012023-08-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6393-9064<NA><NA>서울특별시 서대문구 연희동 421-1서울특별시 서대문구 성산로 321 (연희동)3707케어캠프(주)2023-08-21 15:22:16I2022-12-07 22:03:00.0<NA>193393.590065451598.501283<NA><NA><NA><NA>