Overview

Dataset statistics

Number of variables29
Number of observations36
Missing cells412
Missing cells (%)39.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.9 KiB
Average record size in memory252.7 B

Variable types

Categorical6
Text5
DateTime4
Unsupported10
Numeric4

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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-16413/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 36 (100.0%) missing valuesMissing
폐업일자 has 13 (36.1%) missing valuesMissing
휴업시작일자 has 36 (100.0%) missing valuesMissing
휴업종료일자 has 36 (100.0%) missing valuesMissing
재개업일자 has 36 (100.0%) missing valuesMissing
전화번호 has 6 (16.7%) missing valuesMissing
소재지면적 has 36 (100.0%) missing valuesMissing
소재지우편번호 has 22 (61.1%) missing valuesMissing
지번주소 has 2 (5.6%) missing valuesMissing
도로명우편번호 has 9 (25.0%) missing valuesMissing
업태구분명 has 36 (100.0%) missing valuesMissing
수리대상 의료기기의 유형 has 36 (100.0%) missing valuesMissing
다른 겸업 여부 has 36 (100.0%) missing valuesMissing
총규모 has 36 (100.0%) missing valuesMissing
영업규모 has 36 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수리대상 의료기기의 유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
다른 겸업 여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 18:59:39.735785
Analysis finished2024-04-29 18:59:40.365589
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
3070000
36 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 36
100.0%

Length

2024-04-30T03:59:40.428093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:40.505038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 36
100.0%

관리번호
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-04-30T03:59:40.662296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters900
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

Unique36 ?
Unique (%)100.0%

Sample

1st rowPHMG320053070034047400001
2nd rowPHMG320053070034047400002
3rd rowPHMG320053070034047400003
4th rowPHMG320053070034047400004
5th rowPHMG320053070034047400005
ValueCountFrequency (%)
phmg320053070034047400001 1
 
2.8%
phmg320053070034047400002 1
 
2.8%
phmg320183070034047400001 1
 
2.8%
phmg320163070034047400001 1
 
2.8%
phmg320163070034047400002 1
 
2.8%
phmg320163070034047400003 1
 
2.8%
phmg320163070034047400004 1
 
2.8%
phmg320173070034047400001 1
 
2.8%
phmg320173070034047400002 1
 
2.8%
phmg320183070034047400002 1
 
2.8%
Other values (26) 26
72.2%
2024-04-30T03:59:40.949253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 335
37.2%
3 114
 
12.7%
4 114
 
12.7%
7 74
 
8.2%
2 56
 
6.2%
1 42
 
4.7%
P 36
 
4.0%
H 36
 
4.0%
M 36
 
4.0%
G 36
 
4.0%
Other values (4) 21
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 756
84.0%
Uppercase Letter 144
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 335
44.3%
3 114
 
15.1%
4 114
 
15.1%
7 74
 
9.8%
2 56
 
7.4%
1 42
 
5.6%
5 9
 
1.2%
8 6
 
0.8%
6 5
 
0.7%
9 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
P 36
25.0%
H 36
25.0%
M 36
25.0%
G 36
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 756
84.0%
Latin 144
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 335
44.3%
3 114
 
15.1%
4 114
 
15.1%
7 74
 
9.8%
2 56
 
7.4%
1 42
 
5.6%
5 9
 
1.2%
8 6
 
0.8%
6 5
 
0.7%
9 1
 
0.1%
Latin
ValueCountFrequency (%)
P 36
25.0%
H 36
25.0%
M 36
25.0%
G 36
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 335
37.2%
3 114
 
12.7%
4 114
 
12.7%
7 74
 
8.2%
2 56
 
6.2%
1 42
 
4.7%
P 36
 
4.0%
H 36
 
4.0%
M 36
 
4.0%
G 36
 
4.0%
Other values (4) 21
 
2.3%

인허가일자
Date

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2005-02-22 00:00:00
Maximum2023-01-02 00:00:00
2024-04-30T03:59:41.066291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:59:41.164039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
3
23 
1
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 23
63.9%
1 13
36.1%

Length

2024-04-30T03:59:41.274733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:41.364428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 23
63.9%
1 13
36.1%

영업상태명
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
폐업
23 
영업/정상
13 

Length

Max length5
Median length2
Mean length3.0833333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 23
63.9%
영업/정상 13
36.1%

Length

2024-04-30T03:59:41.449499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:41.527145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 23
63.9%
영업/정상 13
36.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
3
22 
13
13 
24
 
1

Length

Max length2
Median length1
Mean length1.3888889
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
3 22
61.1%
13 13
36.1%
24 1
 
2.8%

Length

2024-04-30T03:59:41.609753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:41.706523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 22
61.1%
13 13
36.1%
24 1
 
2.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
폐업
22 
영업중
13 
직권폐업
 
1

Length

Max length4
Median length2
Mean length2.4166667
Min length2

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 22
61.1%
영업중 13
36.1%
직권폐업 1
 
2.8%

Length

2024-04-30T03:59:41.809560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:41.896775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 22
61.1%
영업중 13
36.1%
직권폐업 1
 
2.8%

폐업일자
Date

MISSING 

Distinct23
Distinct (%)100.0%
Missing13
Missing (%)36.1%
Memory size420.0 B
Minimum2011-03-04 00:00:00
Maximum2023-07-17 00:00:00
2024-04-30T03:59:41.976698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:59:42.086002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

전화번호
Text

MISSING 

Distinct28
Distinct (%)93.3%
Missing6
Missing (%)16.7%
Memory size420.0 B
2024-04-30T03:59:42.259614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.8666667
Min length7

Characters and Unicode

Total characters296
Distinct characters12
Distinct categories3 ?
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 (%)86.7%

Sample

1st row965-0251
2nd row02-968-3121
3rd row999-3142
4th row3290-8101
5th row742-4305
ValueCountFrequency (%)
02-3293-0313 2
 
6.7%
02-921-7230 2
 
6.7%
965-0251 1
 
3.3%
7661977 1
 
3.3%
02-6925-1224 1
 
3.3%
02-467-3575 1
 
3.3%
02-943-4416 1
 
3.3%
02-962-9111 1
 
3.3%
02-2135-9857~8 1
 
3.3%
02-975-0125 1
 
3.3%
Other values (18) 18
60.0%
2024-04-30T03:59:42.555848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 46
15.5%
- 45
15.2%
0 37
12.5%
9 35
11.8%
3 28
9.5%
1 28
9.5%
7 21
7.1%
5 19
6.4%
4 14
 
4.7%
6 13
 
4.4%
Other values (2) 10
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
84.5%
Dash Punctuation 45
 
15.2%
Math Symbol 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 46
18.4%
0 37
14.8%
9 35
14.0%
3 28
11.2%
1 28
11.2%
7 21
8.4%
5 19
7.6%
4 14
 
5.6%
6 13
 
5.2%
8 9
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 296
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 46
15.5%
- 45
15.2%
0 37
12.5%
9 35
11.8%
3 28
9.5%
1 28
9.5%
7 21
7.1%
5 19
6.4%
4 14
 
4.7%
6 13
 
4.4%
Other values (2) 10
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 46
15.5%
- 45
15.2%
0 37
12.5%
9 35
11.8%
3 28
9.5%
1 28
9.5%
7 21
7.1%
5 19
6.4%
4 14
 
4.7%
6 13
 
4.4%
Other values (2) 10
 
3.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)85.7%
Missing22
Missing (%)61.1%
Infinite0
Infinite (%)0.0%
Mean126873.43
Minimum2829
Maximum136863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-30T03:59:42.668094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2829
5-th percentile89412.25
Q1136044
median136106.5
Q3136817.75
95-th percentile136861.05
Maximum136863
Range134034
Interquartile range (IQR)773.75

Descriptive statistics

Standard deviation35704.518
Coefficient of variation (CV)0.2814184
Kurtosis13.995932
Mean126873.43
Median Absolute Deviation (MAD)383
Skewness-3.7408961
Sum1776228
Variance1.2748126 × 109
MonotonicityNot monotonic
2024-04-30T03:59:42.771405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
136044 3
 
8.3%
136818 1
 
2.8%
136800 1
 
2.8%
136860 1
 
2.8%
136817 1
 
2.8%
136034 1
 
2.8%
136863 1
 
2.8%
136073 1
 
2.8%
136821 1
 
2.8%
136041 1
 
2.8%
Other values (2) 2
 
5.6%
(Missing) 22
61.1%
ValueCountFrequency (%)
2829 1
 
2.8%
136034 1
 
2.8%
136041 1
 
2.8%
136044 3
8.3%
136073 1
 
2.8%
136140 1
 
2.8%
136800 1
 
2.8%
136817 1
 
2.8%
136818 1
 
2.8%
136821 1
 
2.8%
ValueCountFrequency (%)
136863 1
 
2.8%
136860 1
 
2.8%
136821 1
 
2.8%
136818 1
 
2.8%
136817 1
 
2.8%
136800 1
 
2.8%
136140 1
 
2.8%
136073 1
 
2.8%
136044 3
8.3%
136041 1
 
2.8%

지번주소
Text

MISSING 

Distinct31
Distinct (%)91.2%
Missing2
Missing (%)5.6%
Memory size420.0 B
2024-04-30T03:59:42.975675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length29
Mean length25.147059
Min length18

Characters and Unicode

Total characters855
Distinct characters74
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

Unique28 ?
Unique (%)82.4%

Sample

1st row서울특별시 성북구 석관동 238번지 4호
2nd row서울특별시 성북구 장위동 89-8
3rd row서울특별시 성북구 길음2동 481번지 33호
4th row서울특별시 성북구 종암동 25번지 10호
5th row서울특별시 성북구 삼선동3가 91
ValueCountFrequency (%)
서울특별시 34
18.5%
성북구 34
18.5%
1호 6
 
3.3%
1층 5
 
2.7%
종암동 5
 
2.7%
석관동 4
 
2.2%
상월곡동 4
 
2.2%
장위동 4
 
2.2%
2층 3
 
1.6%
보문동2가 3
 
1.6%
Other values (70) 82
44.6%
2024-04-30T03:59:43.332251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
 
17.5%
1 37
 
4.3%
동 37
 
4.3%
2 37
 
4.3%
성 36
 
4.2%
북 35
 
4.1%
서 34
 
4.0%
특 34
 
4.0%
별 34
 
4.0%
시 34
 
4.0%
Other values (64) 387
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 533
62.3%
Decimal Number 161
 
18.8%
Space Separator 150
 
17.5%
Uppercase Letter 8
 
0.9%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 37
 
6.9%
성 36
 
6.8%
북 35
 
6.6%
서 34
 
6.4%
특 34
 
6.4%
별 34
 
6.4%
시 34
 
6.4%
구 34
 
6.4%
울 34
 
6.4%
번 29
 
5.4%
Other values (47) 192
36.0%
Decimal Number
ValueCountFrequency (%)
1 37
23.0%
2 37
23.0%
4 21
13.0%
3 16
9.9%
5 14
 
8.7%
8 9
 
5.6%
0 9
 
5.6%
7 7
 
4.3%
6 6
 
3.7%
9 5
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
G 2
25.0%
S 2
25.0%
M 2
25.0%
L 1
12.5%
B 1
12.5%
Space Separator
ValueCountFrequency (%)
150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 533
62.3%
Common 314
36.7%
Latin 8
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 37
 
6.9%
성 36
 
6.8%
북 35
 
6.6%
서 34
 
6.4%
특 34
 
6.4%
별 34
 
6.4%
시 34
 
6.4%
구 34
 
6.4%
울 34
 
6.4%
번 29
 
5.4%
Other values (47) 192
36.0%
Common
ValueCountFrequency (%)
150
47.8%
1 37
 
11.8%
2 37
 
11.8%
4 21
 
6.7%
3 16
 
5.1%
5 14
 
4.5%
8 9
 
2.9%
0 9
 
2.9%
7 7
 
2.2%
6 6
 
1.9%
Other values (2) 8
 
2.5%
Latin
ValueCountFrequency (%)
G 2
25.0%
S 2
25.0%
M 2
25.0%
L 1
12.5%
B 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 533
62.3%
ASCII 322
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
46.6%
1 37
 
11.5%
2 37
 
11.5%
4 21
 
6.5%
3 16
 
5.0%
5 14
 
4.3%
8 9
 
2.8%
0 9
 
2.8%
7 7
 
2.2%
6 6
 
1.9%
Other values (7) 16
 
5.0%
Hangul
ValueCountFrequency (%)
동 37
 
6.9%
성 36
 
6.8%
북 35
 
6.6%
서 34
 
6.4%
특 34
 
6.4%
별 34
 
6.4%
시 34
 
6.4%
구 34
 
6.4%
울 34
 
6.4%
번 29
 
5.4%
Other values (47) 192
36.0%

도로명주소
Text

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-04-30T03:59:43.550234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length29.944444
Min length22

Characters and Unicode

Total characters1078
Distinct characters100
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

Unique34 ?
Unique (%)94.4%

Sample

1st row서울특별시 성북구 화랑로 262 (석관동)
2nd row서울특별시 성북구 장위로 167, 1층 (장위동)
3rd row서울특별시 성북구 숭인로14가길 20 (길음동)
4th row서울특별시 성북구 종암로 41 (종암동)
5th row서울특별시 성북구 삼선교로16나길 9 (삼선동3가)
ValueCountFrequency (%)
서울특별시 36
 
17.3%
성북구 36
 
17.3%
1층 11
 
5.3%
상월곡동 4
 
1.9%
종암동 4
 
1.9%
장위동 4
 
1.9%
보문동2가 3
 
1.4%
석관동 3
 
1.4%
삼선교로23가길 2
 
1.0%
보문로 2
 
1.0%
Other values (90) 103
49.5%
2024-04-30T03:59:43.895760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
172
 
16.0%
동 44
 
4.1%
1 43
 
4.0%
성 38
 
3.5%
북 37
 
3.4%
서 36
 
3.3%
특 36
 
3.3%
별 36
 
3.3%
시 36
 
3.3%
구 36
 
3.3%
Other values (90) 564
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 628
58.3%
Space Separator 172
 
16.0%
Decimal Number 168
 
15.6%
Close Punctuation 36
 
3.3%
Open Punctuation 36
 
3.3%
Other Punctuation 25
 
2.3%
Uppercase Letter 9
 
0.8%
Dash Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 44
 
7.0%
성 38
 
6.1%
북 37
 
5.9%
서 36
 
5.7%
특 36
 
5.7%
별 36
 
5.7%
시 36
 
5.7%
구 36
 
5.7%
로 36
 
5.7%
울 36
 
5.7%
Other values (69) 257
40.9%
Decimal Number
ValueCountFrequency (%)
1 43
25.6%
2 36
21.4%
4 18
10.7%
3 18
10.7%
6 12
 
7.1%
5 11
 
6.5%
0 11
 
6.5%
9 7
 
4.2%
7 6
 
3.6%
8 6
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
S 3
33.3%
M 2
22.2%
L 1
 
11.1%
G 1
 
11.1%
B 1
 
11.1%
K 1
 
11.1%
Space Separator
ValueCountFrequency (%)
172
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 628
58.3%
Common 441
40.9%
Latin 9
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 44
 
7.0%
성 38
 
6.1%
북 37
 
5.9%
서 36
 
5.7%
특 36
 
5.7%
별 36
 
5.7%
시 36
 
5.7%
구 36
 
5.7%
로 36
 
5.7%
울 36
 
5.7%
Other values (69) 257
40.9%
Common
ValueCountFrequency (%)
172
39.0%
1 43
 
9.8%
) 36
 
8.2%
( 36
 
8.2%
2 36
 
8.2%
, 25
 
5.7%
4 18
 
4.1%
3 18
 
4.1%
6 12
 
2.7%
5 11
 
2.5%
Other values (5) 34
 
7.7%
Latin
ValueCountFrequency (%)
S 3
33.3%
M 2
22.2%
L 1
 
11.1%
G 1
 
11.1%
B 1
 
11.1%
K 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 628
58.3%
ASCII 450
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
172
38.2%
1 43
 
9.6%
) 36
 
8.0%
( 36
 
8.0%
2 36
 
8.0%
, 25
 
5.6%
4 18
 
4.0%
3 18
 
4.0%
6 12
 
2.7%
5 11
 
2.4%
Other values (11) 43
 
9.6%
Hangul
ValueCountFrequency (%)
동 44
 
7.0%
성 38
 
6.1%
북 37
 
5.9%
서 36
 
5.7%
특 36
 
5.7%
별 36
 
5.7%
시 36
 
5.7%
구 36
 
5.7%
로 36
 
5.7%
울 36
 
5.7%
Other values (69) 257
40.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)85.2%
Missing9
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean2804.037
Minimum2717
Maximum2872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-30T03:59:43.997419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2717
5-th percentile2727.4
Q12772.5
median2798
Q32845
95-th percentile2871
Maximum2872
Range155
Interquartile range (IQR)72.5

Descriptive statistics

Standard deviation46.952088
Coefficient of variation (CV)0.016744461
Kurtosis-0.98337233
Mean2804.037
Median Absolute Deviation (MAD)33
Skewness-0.0356928
Sum75709
Variance2204.4986
MonotonicityNot monotonic
2024-04-30T03:59:44.087703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2861 2
 
5.6%
2791 2
 
5.6%
2871 2
 
5.6%
2773 2
 
5.6%
2872 1
 
2.8%
2850 1
 
2.8%
2717 1
 
2.8%
2829 1
 
2.8%
2733 1
 
2.8%
2772 1
 
2.8%
Other values (13) 13
36.1%
(Missing) 9
25.0%
ValueCountFrequency (%)
2717 1
2.8%
2725 1
2.8%
2733 1
2.8%
2760 1
2.8%
2765 1
2.8%
2766 1
2.8%
2772 1
2.8%
2773 2
5.6%
2782 1
2.8%
2784 1
2.8%
ValueCountFrequency (%)
2872 1
2.8%
2871 2
5.6%
2868 1
2.8%
2861 2
5.6%
2850 1
2.8%
2840 1
2.8%
2836 1
2.8%
2829 1
2.8%
2814 1
2.8%
2804 1
2.8%

사업장명
Text

Distinct33
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-04-30T03:59:44.286929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.8333333
Min length2

Characters and Unicode

Total characters282
Distinct characters115
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

Unique30 ?
Unique (%)83.3%

Sample

1st row엘리어헬스케어(주)
2nd row영일메디칼
3rd row세라젬서비스월드 서울북부
4th row(주)호일바이오메드
5th row원일
ValueCountFrequency (%)
한걸음 2
 
4.8%
성북장애인보장구클린센터 2
 
4.8%
주)주은메디텍 2
 
4.8%
위니아서비스 1
 
2.4%
엔티바이오 1
 
2.4%
주식회사 1
 
2.4%
트리오엘 1
 
2.4%
lg전자 1
 
2.4%
미아사거리휴대폰센터 1
 
2.4%
주)한일메디피아 1
 
2.4%
Other values (29) 29
69.0%
2024-04-30T03:59:44.607330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 13
 
4.6%
( 11
 
3.9%
) 11
 
3.9%
메 10
 
3.5%
디 9
 
3.2%
이 9
 
3.2%
장 8
 
2.8%
센 7
 
2.5%
보 7
 
2.5%
성 7
 
2.5%
Other values (105) 190
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 245
86.9%
Open Punctuation 11
 
3.9%
Close Punctuation 11
 
3.9%
Space Separator 6
 
2.1%
Lowercase Letter 5
 
1.8%
Uppercase Letter 4
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 13
 
5.3%
메 10
 
4.1%
디 9
 
3.7%
이 9
 
3.7%
장 8
 
3.3%
센 7
 
2.9%
보 7
 
2.9%
성 7
 
2.9%
북 7
 
2.9%
터 6
 
2.4%
Other values (93) 162
66.1%
Lowercase Letter
ValueCountFrequency (%)
s 1
20.0%
t 1
20.0%
r 1
20.0%
a 1
20.0%
p 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
25.0%
L 1
25.0%
A 1
25.0%
V 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 245
86.9%
Common 28
 
9.9%
Latin 9
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 13
 
5.3%
메 10
 
4.1%
디 9
 
3.7%
이 9
 
3.7%
장 8
 
3.3%
센 7
 
2.9%
보 7
 
2.9%
성 7
 
2.9%
북 7
 
2.9%
터 6
 
2.4%
Other values (93) 162
66.1%
Latin
ValueCountFrequency (%)
G 1
11.1%
L 1
11.1%
s 1
11.1%
t 1
11.1%
r 1
11.1%
a 1
11.1%
p 1
11.1%
A 1
11.1%
V 1
11.1%
Common
ValueCountFrequency (%)
( 11
39.3%
) 11
39.3%
6
21.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 245
86.9%
ASCII 37
 
13.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 13
 
5.3%
메 10
 
4.1%
디 9
 
3.7%
이 9
 
3.7%
장 8
 
3.3%
센 7
 
2.9%
보 7
 
2.9%
성 7
 
2.9%
북 7
 
2.9%
터 6
 
2.4%
Other values (93) 162
66.1%
ASCII
ValueCountFrequency (%)
( 11
29.7%
) 11
29.7%
6
16.2%
G 1
 
2.7%
L 1
 
2.7%
s 1
 
2.7%
t 1
 
2.7%
r 1
 
2.7%
a 1
 
2.7%
p 1
 
2.7%
Other values (2) 2
 
5.4%

최종수정일자
Date

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2011-03-16 14:58:20
Maximum2023-07-21 10:59:06
2024-04-30T03:59:44.723326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:59:44.854842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
I
25 
U
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 25
69.4%
U 11
30.6%

Length

2024-04-30T03:59:44.981543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:59:45.060440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 25
69.4%
u 11
30.6%

데이터갱신일자
Date

Distinct15
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2018-10-11 15:46:28
Maximum2022-12-06 23:09:00
2024-04-30T03:59:45.144521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:59:45.233593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

좌표정보(X)
Real number (ℝ)

Distinct33
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202743.24
Minimum199910.32
Maximum205729.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-30T03:59:45.329157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199910.32
5-th percentile200744.29
Q1201451.6
median202455.11
Q3204275.69
95-th percentile205588.11
Maximum205729.35
Range5819.0279
Interquartile range (IQR)2824.0823

Descriptive statistics

Standard deviation1662.4586
Coefficient of variation (CV)0.0081998225
Kurtosis-1.1421023
Mean202743.24
Median Absolute Deviation (MAD)1399.3717
Skewness0.33330624
Sum7298756.7
Variance2763768.6
MonotonicityNot monotonic
2024-04-30T03:59:45.432948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
204274.684878952 2
 
5.6%
204275.68569287 2
 
5.6%
201167.435556489 2
 
5.6%
201549.756205661 1
 
2.8%
203002.648134708 1
 
2.8%
202601.266536281 1
 
2.8%
201637.420576521 1
 
2.8%
201546.326002166 1
 
2.8%
205083.452411454 1
 
2.8%
202689.140668396 1
 
2.8%
Other values (23) 23
63.9%
ValueCountFrequency (%)
199910.319734384 1
2.8%
200503.350103623 1
2.8%
200824.604254737 1
2.8%
200963.944699955 1
2.8%
200979.424691002 1
2.8%
201048.060161314 1
2.8%
201063.426103978 1
2.8%
201167.435556489 2
5.6%
201546.326002166 1
2.8%
201549.756205661 1
2.8%
ValueCountFrequency (%)
205729.347626245 1
2.8%
205661.36093453 1
2.8%
205563.690633606 1
2.8%
205083.452411454 1
2.8%
204766.747535042 1
2.8%
204689.678517629 1
2.8%
204587.060050135 1
2.8%
204515.330584559 1
2.8%
204275.68569287 2
5.6%
204274.684878952 2
5.6%

좌표정보(Y)
Real number (ℝ)

Distinct33
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean455341.38
Minimum453583.85
Maximum457456.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-30T03:59:45.529780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453583.85
5-th percentile453730.35
Q1454169.31
median455549.65
Q3456277.17
95-th percentile457036.22
Maximum457456.85
Range3872.9957
Interquartile range (IQR)2107.8619

Descriptive statistics

Standard deviation1158.3347
Coefficient of variation (CV)0.0025438819
Kurtosis-1.293229
Mean455341.38
Median Absolute Deviation (MAD)888.14984
Skewness-0.035970096
Sum16392290
Variance1341739.2
MonotonicityNot monotonic
2024-04-30T03:59:45.848623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
455968.170816114 2
 
5.6%
456094.452209942 2
 
5.6%
454169.311405906 2
 
5.6%
453820.791724504 1
 
2.8%
455494.839200286 1
 
2.8%
455724.529735743 1
 
2.8%
453583.850284165 1
 
2.8%
453843.498891565 1
 
2.8%
456548.519056615 1
 
2.8%
455074.622569918 1
 
2.8%
Other values (23) 23
63.9%
ValueCountFrequency (%)
453583.850284165 1
2.8%
453608.370792778 1
2.8%
453771.009759745 1
2.8%
453807.325091954 1
2.8%
453820.791724504 1
2.8%
453843.498891565 1
2.8%
453963.213362937 1
2.8%
454068.101640334 1
2.8%
454169.311405906 2
5.6%
454397.348456493 1
2.8%
ValueCountFrequency (%)
457456.845946002 1
2.8%
457202.04370689 1
2.8%
456980.945112941 1
2.8%
456761.672987092 1
2.8%
456606.884453415 1
2.8%
456548.519056615 1
2.8%
456354.895918245 1
2.8%
456314.186281544 1
2.8%
456284.330878228 1
2.8%
456274.787508312 1
2.8%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing36
Missing (%)100.0%
Memory size456.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
03070000PHMG32005307003404740000120111010<NA>3폐업3폐업20130401<NA><NA><NA>965-0251<NA>136818서울특별시 성북구 석관동 238번지 4호서울특별시 성북구 화랑로 262 (석관동)<NA>엘리어헬스케어(주)2013-04-01 16:56:29I2018-10-11 15:46:28.0<NA>205083.452411456548.519057<NA><NA><NA><NA>
13070000PHMG3200530700340474000022005-06-20<NA>3폐업3폐업2022-12-01<NA><NA><NA>02-968-3121<NA><NA>서울특별시 성북구 장위동 89-8서울특별시 성북구 장위로 167, 1층 (장위동)2765영일메디칼2023-02-06 21:18:54U2022-12-02 00:08:00.0<NA>204766.747535456980.945113<NA><NA><NA><NA>
23070000PHMG32005307003404740000320050711<NA>3폐업3폐업20110316<NA><NA><NA>999-3142<NA>136800서울특별시 성북구 길음2동 481번지 33호서울특별시 성북구 숭인로14가길 20 (길음동)<NA>세라젬서비스월드 서울북부2011-03-16 14:58:20I2018-10-11 15:46:28.0<NA>202331.948694456606.884453<NA><NA><NA><NA>
33070000PHMG32005307003404740000420050310<NA>3폐업3폐업20110614<NA><NA><NA>3290-8101<NA>136860서울특별시 성북구 종암동 25번지 10호서울특별시 성북구 종암로 41 (종암동)<NA>(주)호일바이오메드2012-08-30 14:55:05I2018-10-11 15:46:28.0<NA>203078.937018454628.82182<NA><NA><NA><NA>
43070000PHMG32005307003404740000520050222<NA>3폐업3폐업20120927<NA><NA><NA>742-4305<NA><NA>서울특별시 성북구 삼선동3가 91서울특별시 성북구 삼선교로16나길 9 (삼선동3가)2868원일2020-12-08 20:35:48U2020-12-10 02:40:00.0<NA>200979.424691453608.370793<NA><NA><NA><NA>
53070000PHMG32005307003404740000620050608<NA>3폐업3폐업20120706<NA><NA><NA>968-0620<NA>136817서울특별시 성북구 석관동 135번지 2호 브룩스톤오피스텔 202호서울특별시 성북구 한천로66길 189 (석관동,브룩스톤오피스텔 202호)<NA>대진2012-07-09 09:27:24I2018-10-11 15:46:28.0<NA>205729.347626456761.672987<NA><NA><NA><NA>
63070000PHMG32008307003404740000120050622<NA>3폐업3폐업20120516<NA><NA><NA>985-3935<NA>136034서울특별시 성북구 동소문동4가 270번지 4층서울특별시 성북구 동소문로 67-1 (동소문동4가,4층)<NA>드림메디텍2012-07-09 09:29:33I2018-10-11 15:46:28.0<NA>201063.426104454397.348456<NA><NA><NA><NA>
73070000PHMG32008307003404740000220081106<NA>3폐업3폐업20130419<NA><NA><NA>927-3491<NA>136863서울특별시 성북구 종암동 88번지 1호 2층서울특별시 성북구 종암로 102 (종암동,2층)<NA>(주)성북엘지씨2013-04-19 16:40:11I2018-10-11 15:46:28.0<NA>202993.245171455225.325842<NA><NA><NA><NA>
83070000PHMG32010307003404740000120100818<NA>3폐업3폐업20110304<NA><NA><NA><NA><NA>136073서울특별시 성북구 안암동3가 132번지 4호 SM오피스텔 B102호서울특별시 성북구 인촌로 46 (안암동3가,SM오피스텔 B102호)<NA>(주)주은메디텍2011-04-04 17:28:05I2018-10-11 15:46:28.0<NA>202068.469942453771.00976<NA><NA><NA><NA>
93070000PHMG32010307003404740000220150225<NA>1영업/정상13영업중<NA><NA><NA><NA>02-533-0114<NA>136821서울특별시 성북구 성북동 55번지 1호 1층서울특별시 성북구 선잠로 12-11 (성북동)2836(주)동산실업2015-04-13 16:39:43I2018-10-11 15:46:28.0<NA>199910.319734454718.70593<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
263070000PHMG32018307003404740000120180209<NA>3폐업3폐업20180309<NA><NA><NA>02-921-7230<NA><NA>서울특별시 성북구 보문동2가 46번지 1호 명성빌딩서울특별시 성북구 보문로 135, 명성빌딩 1층 (보문동2가)2871성북장애인보장구수리센터2018-03-12 08:12:34I2018-10-11 15:46:28.0<NA>201546.326002453843.498892<NA><NA><NA><NA>
273070000PHMG32018307003404740000220180309<NA>1영업/정상13영업중<NA><NA><NA><NA>02-921-7230<NA><NA>서울특별시 성북구 보문동2가 41번지서울특별시 성북구 보문로 133, 1층 (보문동2가)2871성북장애인보장구클린센터2020-02-18 16:57:07U2020-02-20 02:40:00.0<NA>201549.756206453820.791725<NA><NA><NA><NA>
283070000PHMG32018307003404740000320180612<NA>1영업/정상13영업중<NA><NA><NA><NA>02-962-9111<NA><NA>서울특별시 성북구 석관동 72번지 5호 부국빌딩서울특별시 성북구 한천로 544, 부국빌딩 (석관동)2782(주)부국랩테크2018-06-15 09:06:36I2018-10-11 15:46:28.0<NA>205661.360935456274.787508<NA><NA><NA><NA>
293070000PHMG32018307003404740000420180727<NA>1영업/정상13영업중<NA><NA><NA><NA>02-943-4416<NA><NA>서울특별시 성북구 정릉동 142번지 1호서울특별시 성북구 정릉로26가길 8 (정릉동)2814엔티바이오2018-07-31 09:28:06I2018-10-11 15:46:28.0<NA>201048.060161455604.450856<NA><NA><NA><NA>
303070000PHMG3201930700340474000012019-08-20<NA>3폐업3폐업2023-07-17<NA><NA><NA>02-3293-0313<NA><NA>서울특별시 성북구 상월곡동 24번지 244호서울특별시 성북구 화랑로18길 26, 1층 (상월곡동)2791보람메디칼2023-07-17 14:12:50U2022-12-06 23:09:00.0<NA>204274.684879455968.170816<NA><NA><NA><NA>
313070000PHMG32020307003404740000120050318<NA>1영업/정상13영업중<NA><NA><NA><NA>02-467-3575<NA><NA>서울특별시 성북구 장위동 65번지 192호 우남빌딩서울특별시 성북구 화랑로 219, 우남빌딩 1층 (장위동)2772(주)한일메디피아2020-02-17 17:08:23I2020-02-19 00:23:23.0<NA>204689.678518456354.895918<NA><NA><NA><NA>
323070000PHMG32021307003404740000120210202<NA>3폐업3폐업20220306<NA><NA><NA>02-6925-1224<NA><NA>서울특별시 성북구 하월곡동 196 LG전자 베스트샵서울특별시 성북구 동소문로 324, LG전자 베스트샵 2층 (하월곡동)2733LG전자 미아사거리휴대폰센터2022-03-07 16:09:21U2022-03-09 02:40:00.0<NA>202578.280888456226.02965<NA><NA><NA><NA>
333070000PHMG3202230700340474000012022-04-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>2829<NA>서울특별시 성북구 동소문로25길 3, 2층 201호 (동선동4가)2829주식회사 트리오엘2023-07-21 10:59:06U2022-12-06 22:03:00.0<NA>201573.856879454694.168552<NA><NA><NA><NA>
343070000PHMG32022307003404740000220220408<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 보국문로 50, 청수프라자 3층 305호 (정릉동)2717브이에이파츠(VAparts)2022-04-08 17:11:39I2021-12-03 23:00:00.0<NA>200824.604255456284.330878<NA><NA><NA><NA>
353070000PHMG32023307003404740000120230102<NA>1영업/정상13영업중<NA><NA><NA><NA>02-922-8865<NA><NA>서울특별시 성북구 안암동2가 121-3 SM빌딩서울특별시 성북구 고려대로 29, SM빌딩 (안암동2가)2850위니아서비스 성북점2023-01-06 15:36:32I2022-12-01 00:08:00.0<NA>201927.380513453807.325092<NA><NA><NA><NA>