Overview

Dataset statistics

Number of variables48
Number of observations30
Missing cells535
Missing cells (%)37.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.3 KiB
Average record size in memory421.4 B

Variable types

Categorical18
Numeric6
DateTime4
Unsupported14
Text6

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),실험실면적,사업장구분명,영업소면적,위탁업체명,실험실지역코드,실험실우편번호,실험실산,실험실번지,실험실호,실험실통,실험실반,실험실특수주소,실험실특수주소동,실험실특수주소호,실험실도로명주소시군구코드,실험실도로명주소읍면동코드,실험실도로명주소읍면동구분,실험실도로명주소코드,실험실도로명특수주소,실험실도로명주소건물층구분,실험실도로명주소건물본번호,실험실도로명주소건물부번호,실험실도로명주소우편번호
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-19550/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
실험실우편번호 is highly imbalanced (73.5%)Imbalance
실험실도로명주소건물부번호 is highly imbalanced (64.7%)Imbalance
실험실도로명주소우편번호 is highly imbalanced (61.7%)Imbalance
인허가취소일자 has 30 (100.0%) missing valuesMissing
폐업일자 has 15 (50.0%) missing valuesMissing
휴업시작일자 has 30 (100.0%) missing valuesMissing
휴업종료일자 has 30 (100.0%) missing valuesMissing
재개업일자 has 30 (100.0%) missing valuesMissing
전화번호 has 3 (10.0%) missing valuesMissing
소재지면적 has 30 (100.0%) missing valuesMissing
소재지우편번호 has 30 (100.0%) missing valuesMissing
지번주소 has 1 (3.3%) missing valuesMissing
도로명우편번호 has 3 (10.0%) missing valuesMissing
업태구분명 has 30 (100.0%) missing valuesMissing
좌표정보(X) has 5 (16.7%) missing valuesMissing
좌표정보(Y) has 5 (16.7%) missing valuesMissing
실험실면적 has 30 (100.0%) missing valuesMissing
영업소면적 has 30 (100.0%) missing valuesMissing
위탁업체명 has 30 (100.0%) missing valuesMissing
실험실번지 has 19 (63.3%) missing valuesMissing
실험실통 has 30 (100.0%) missing valuesMissing
실험실반 has 30 (100.0%) missing valuesMissing
실험실특수주소 has 28 (93.3%) missing valuesMissing
실험실특수주소동 has 30 (100.0%) missing valuesMissing
실험실특수주소호 has 30 (100.0%) missing valuesMissing
실험실도로명주소코드 has 18 (60.0%) missing valuesMissing
실험실도로명특수주소 has 18 (60.0%) 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
소재지우편번호 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
실험실면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업소면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
위탁업체명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실통 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실반 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실특수주소동 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실특수주소호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 11:31:38.715095
Analysis finished2024-04-06 11:31:39.565384
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3230000
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 30
100.0%

Length

2024-04-06T20:31:39.673857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:39.860627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 30
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2300007 × 1017
Minimum3.2300007 × 1017
Maximum3.2300007 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T20:31:40.200526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2300007 × 1017
5-th percentile3.2300007 × 1017
Q13.2300007 × 1017
median3.2300007 × 1017
Q33.2300007 × 1017
95-th percentile3.2300007 × 1017
Maximum3.2300007 × 1017
Range1900001
Interquartile range (IQR)774976

Descriptive statistics

Standard deviation499931.83
Coefficient of variation (CV)1.5477762 × 10-12
Kurtosis-0.38169958
Mean3.2300007 × 1017
Median Absolute Deviation (MAD)250016
Skewness-0.5885988
Sum-8.7567421 × 1018
Variance2.4993184 × 1011
MonotonicityStrictly increasing
2024-04-06T20:31:40.508634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
323000066200400001 1
 
3.3%
323000066201700006 1
 
3.3%
323000066202300002 1
 
3.3%
323000066202300001 1
 
3.3%
323000066202200003 1
 
3.3%
323000066202200002 1
 
3.3%
323000066202200001 1
 
3.3%
323000066201900004 1
 
3.3%
323000066201900003 1
 
3.3%
323000066201900002 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
323000066200400001 1
3.3%
323000066200700001 1
3.3%
323000066200900002 1
3.3%
323000066200900003 1
3.3%
323000066201000001 1
3.3%
323000066201000002 1
3.3%
323000066201100001 1
3.3%
323000066201100002 1
3.3%
323000066201200001 1
3.3%
323000066201400001 1
3.3%
ValueCountFrequency (%)
323000066202300002 1
3.3%
323000066202300001 1
3.3%
323000066202200003 1
3.3%
323000066202200002 1
3.3%
323000066202200001 1
3.3%
323000066201900004 1
3.3%
323000066201900003 1
3.3%
323000066201900002 1
3.3%
323000066201900001 1
3.3%
323000066201800003 1
3.3%

인허가일자
Date

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2004-05-29 00:00:00
Maximum2023-02-10 00:00:00
2024-04-06T20:31:40.709132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:31:40.884896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태코드
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
13 
3
8 
4
7 
5
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row4
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 13
43.3%
3 8
26.7%
4 7
23.3%
5 2
 
6.7%

Length

2024-04-06T20:31:41.075895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:41.292538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 13
43.3%
3 8
26.7%
4 7
23.3%
5 2
 
6.7%

영업상태명
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업/정상
13 
폐업
8 
취소/말소/만료/정지/중지
7 
제외/삭제/전출
2 

Length

Max length14
Median length8
Mean length6.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row취소/말소/만료/정지/중지
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 13
43.3%
폐업 8
26.7%
취소/말소/만료/정지/중지 7
23.3%
제외/삭제/전출 2
 
6.7%

Length

2024-04-06T20:31:41.579752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:41.862593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 13
43.3%
폐업 8
26.7%
취소/말소/만료/정지/중지 7
23.3%
제외/삭제/전출 2
 
6.7%

상세영업상태코드
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
BBBB
13 
2
8 
4
7 
5
2 

Length

Max length4
Median length1
Mean length2.3
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBBBB
2nd rowBBBB
3rd row4
4th rowBBBB
5th rowBBBB

Common Values

ValueCountFrequency (%)
BBBB 13
43.3%
2 8
26.7%
4 7
23.3%
5 2
 
6.7%

Length

2024-04-06T20:31:42.198476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:42.480340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 13
43.3%
2 8
26.7%
4 7
23.3%
5 2
 
6.7%

상세영업상태명
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업
13 
폐업
8 
폐쇄
7 
제외사항
2 

Length

Max length4
Median length2
Mean length2.1333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업
2nd row영업
3rd row폐쇄
4th row영업
5th row영업

Common Values

ValueCountFrequency (%)
영업 13
43.3%
폐업 8
26.7%
폐쇄 7
23.3%
제외사항 2
 
6.7%

Length

2024-04-06T20:31:43.157577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:43.367447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 13
43.3%
폐업 8
26.7%
폐쇄 7
23.3%
제외사항 2
 
6.7%

폐업일자
Date

MISSING 

Distinct10
Distinct (%)66.7%
Missing15
Missing (%)50.0%
Memory size372.0 B
Minimum2011-06-07 00:00:00
Maximum2023-04-30 00:00:00
2024-04-06T20:31:43.559370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:31:43.763051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전화번호
Text

MISSING 

Distinct15
Distinct (%)55.6%
Missing3
Missing (%)10.0%
Memory size372.0 B
2024-04-06T20:31:44.064174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.777778
Min length7

Characters and Unicode

Total characters291
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

Unique10 ?
Unique (%)37.0%

Sample

1st row02-424-2007
2nd row02-424-2007
3rd row02-401-3825
4th row02-424-2007
5th row4245701
ValueCountFrequency (%)
02-424-2007 5
18.5%
02-6952-7880 5
18.5%
422-6462 3
11.1%
02-2135-5277 2
 
7.4%
02-719-7452 2
 
7.4%
02-401-3825 1
 
3.7%
4245701 1
 
3.7%
02-861-4488 1
 
3.7%
02-556-6929 1
 
3.7%
027197452 1
 
3.7%
Other values (5) 5
18.5%
2024-04-06T20:31:44.545607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 62
21.3%
- 45
15.5%
0 44
15.1%
4 26
8.9%
7 24
 
8.2%
6 22
 
7.6%
5 19
 
6.5%
8 17
 
5.8%
9 15
 
5.2%
1 12
 
4.1%
Other values (2) 5
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 245
84.2%
Dash Punctuation 45
 
15.5%
Math Symbol 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 62
25.3%
0 44
18.0%
4 26
10.6%
7 24
 
9.8%
6 22
 
9.0%
5 19
 
7.8%
8 17
 
6.9%
9 15
 
6.1%
1 12
 
4.9%
3 4
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 291
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 62
21.3%
- 45
15.5%
0 44
15.1%
4 26
8.9%
7 24
 
8.2%
6 22
 
7.6%
5 19
 
6.5%
8 17
 
5.8%
9 15
 
5.2%
1 12
 
4.1%
Other values (2) 5
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 291
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 62
21.3%
- 45
15.5%
0 44
15.1%
4 26
8.9%
7 24
 
8.2%
6 22
 
7.6%
5 19
 
6.5%
8 17
 
5.8%
9 15
 
5.2%
1 12
 
4.1%
Other values (2) 5
 
1.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지번주소
Text

MISSING 

Distinct17
Distinct (%)58.6%
Missing1
Missing (%)3.3%
Memory size372.0 B
2024-04-06T20:31:44.870943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length25.586207
Min length17

Characters and Unicode

Total characters742
Distinct characters78
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

Unique9 ?
Unique (%)31.0%

Sample

1st row서울특별시 송파구 석촌동 235-20 한양빌딩
2nd row서울특별시 송파구 석촌동 235-20 한양빌딩
3rd row서울특별시 송파구 마천동 33
4th row서울특별시 송파구 삼전동 22-1 202호
5th row서울특별시 송파구 석촌동 235-20 한양빌딩
ValueCountFrequency (%)
서울특별시 29
19.1%
송파구 29
19.1%
석촌동 12
 
7.9%
235-20 7
 
4.6%
문정동 7
 
4.6%
한양빌딩 5
 
3.3%
마천동 4
 
2.6%
33 4
 
2.6%
235-18 3
 
2.0%
111-15 3
 
2.0%
Other values (35) 49
32.2%
2024-04-06T20:31:45.533511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
 
18.1%
동 34
 
4.6%
파 33
 
4.4%
시 30
 
4.0%
서 29
 
3.9%
울 29
 
3.9%
구 29
 
3.9%
1 29
 
3.9%
송 29
 
3.9%
별 29
 
3.9%
Other values (68) 337
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 440
59.3%
Decimal Number 145
 
19.5%
Space Separator 134
 
18.1%
Dash Punctuation 19
 
2.6%
Uppercase Letter 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 34
 
7.7%
파 33
 
7.5%
시 30
 
6.8%
서 29
 
6.6%
울 29
 
6.6%
구 29
 
6.6%
송 29
 
6.6%
별 29
 
6.6%
특 29
 
6.6%
석 12
 
2.7%
Other values (54) 157
35.7%
Decimal Number
ValueCountFrequency (%)
1 29
20.0%
2 26
17.9%
3 22
15.2%
5 20
13.8%
0 17
11.7%
4 12
8.3%
6 12
8.3%
7 3
 
2.1%
8 3
 
2.1%
9 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
A 2
50.0%
Space Separator
ValueCountFrequency (%)
134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 440
59.3%
Common 298
40.2%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 34
 
7.7%
파 33
 
7.5%
시 30
 
6.8%
서 29
 
6.6%
울 29
 
6.6%
구 29
 
6.6%
송 29
 
6.6%
별 29
 
6.6%
특 29
 
6.6%
석 12
 
2.7%
Other values (54) 157
35.7%
Common
ValueCountFrequency (%)
134
45.0%
1 29
 
9.7%
2 26
 
8.7%
3 22
 
7.4%
5 20
 
6.7%
- 19
 
6.4%
0 17
 
5.7%
4 12
 
4.0%
6 12
 
4.0%
7 3
 
1.0%
Other values (2) 4
 
1.3%
Latin
ValueCountFrequency (%)
B 2
50.0%
A 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 440
59.3%
ASCII 302
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
44.4%
1 29
 
9.6%
2 26
 
8.6%
3 22
 
7.3%
5 20
 
6.6%
- 19
 
6.3%
0 17
 
5.6%
4 12
 
4.0%
6 12
 
4.0%
7 3
 
1.0%
Other values (4) 8
 
2.6%
Hangul
ValueCountFrequency (%)
동 34
 
7.7%
파 33
 
7.5%
시 30
 
6.8%
서 29
 
6.6%
울 29
 
6.6%
구 29
 
6.6%
송 29
 
6.6%
별 29
 
6.6%
특 29
 
6.6%
석 12
 
2.7%
Other values (54) 157
35.7%

도로명주소
Text

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-06T20:31:45.911305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length34.8
Min length27

Characters and Unicode

Total characters1044
Distinct characters101
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

Unique12 ?
Unique (%)40.0%

Sample

1st row서울특별시 송파구 백제고분로36길 6, 한양빌딩 (석촌동)
2nd row서울특별시 송파구 백제고분로36길 6, 한양빌딩 (석촌동)
3rd row서울특별시 송파구 마천로 251 (마천동, 대산빌딩 5층)
4th row서울특별시 송파구 석촌호수로 138, 202호 (삼전동)
5th row서울특별시 송파구 백제고분로36길 6, 한양빌딩 (석촌동)
ValueCountFrequency (%)
서울특별시 30
 
15.1%
송파구 30
 
15.1%
석촌동 12
 
6.0%
백제고분로36길 10
 
5.0%
문정동 8
 
4.0%
6 7
 
3.5%
한양빌딩 5
 
2.5%
마천로 4
 
2.0%
251 4
 
2.0%
마천동 4
 
2.0%
Other values (54) 85
42.7%
2024-04-06T20:31:46.497480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169
 
16.2%
1 51
 
4.9%
파 36
 
3.4%
동 36
 
3.4%
송 32
 
3.1%
시 31
 
3.0%
로 31
 
3.0%
서 30
 
2.9%
특 30
 
2.9%
별 30
 
2.9%
Other values (91) 568
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 620
59.4%
Space Separator 169
 
16.2%
Decimal Number 156
 
14.9%
Open Punctuation 30
 
2.9%
Close Punctuation 30
 
2.9%
Other Punctuation 29
 
2.8%
Uppercase Letter 6
 
0.6%
Dash Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 36
 
5.8%
동 36
 
5.8%
송 32
 
5.2%
시 31
 
5.0%
로 31
 
5.0%
서 30
 
4.8%
특 30
 
4.8%
별 30
 
4.8%
구 30
 
4.8%
울 30
 
4.8%
Other values (72) 304
49.0%
Decimal Number
ValueCountFrequency (%)
1 51
32.7%
6 26
16.7%
2 19
 
12.2%
3 15
 
9.6%
0 14
 
9.0%
5 9
 
5.8%
4 8
 
5.1%
7 5
 
3.2%
9 5
 
3.2%
8 4
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
B 2
33.3%
T 1
16.7%
C 1
16.7%
Space Separator
ValueCountFrequency (%)
169
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 620
59.4%
Common 418
40.0%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 36
 
5.8%
동 36
 
5.8%
송 32
 
5.2%
시 31
 
5.0%
로 31
 
5.0%
서 30
 
4.8%
특 30
 
4.8%
별 30
 
4.8%
구 30
 
4.8%
울 30
 
4.8%
Other values (72) 304
49.0%
Common
ValueCountFrequency (%)
169
40.4%
1 51
 
12.2%
( 30
 
7.2%
) 30
 
7.2%
, 29
 
6.9%
6 26
 
6.2%
2 19
 
4.5%
3 15
 
3.6%
0 14
 
3.3%
5 9
 
2.2%
Other values (5) 26
 
6.2%
Latin
ValueCountFrequency (%)
A 2
33.3%
B 2
33.3%
T 1
16.7%
C 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 620
59.4%
ASCII 424
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
169
39.9%
1 51
 
12.0%
( 30
 
7.1%
) 30
 
7.1%
, 29
 
6.8%
6 26
 
6.1%
2 19
 
4.5%
3 15
 
3.5%
0 14
 
3.3%
5 9
 
2.1%
Other values (9) 32
 
7.5%
Hangul
ValueCountFrequency (%)
파 36
 
5.8%
동 36
 
5.8%
송 32
 
5.2%
시 31
 
5.0%
로 31
 
5.0%
서 30
 
4.8%
특 30
 
4.8%
별 30
 
4.8%
구 30
 
4.8%
울 30
 
4.8%
Other values (72) 304
49.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)44.4%
Missing3
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean15533.222
Minimum5510
Maximum138121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T20:31:46.753096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5510
5-th percentile5612.3
Q15680
median5680
Q35837
95-th percentile98440.5
Maximum138121
Range132611
Interquartile range (IQR)157

Descriptive statistics

Standard deviation35333.534
Coefficient of variation (CV)2.2747073
Kurtosis10.670213
Mean15533.222
Median Absolute Deviation (MAD)54
Skewness3.4471977
Sum419397
Variance1.2484586 × 109
MonotonicityNot monotonic
2024-04-06T20:31:46.958378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5680 9
30.0%
5836 3
 
10.0%
5641 3
 
10.0%
5734 2
 
6.7%
5855 2
 
6.7%
5854 2
 
6.7%
138120 1
 
3.3%
5600 1
 
3.3%
138121 1
 
3.3%
5510 1
 
3.3%
Other values (2) 2
 
6.7%
(Missing) 3
 
10.0%
ValueCountFrequency (%)
5510 1
 
3.3%
5600 1
 
3.3%
5641 3
 
10.0%
5680 9
30.0%
5734 2
 
6.7%
5771 1
 
3.3%
5836 3
 
10.0%
5838 1
 
3.3%
5854 2
 
6.7%
5855 2
 
6.7%
ValueCountFrequency (%)
138121 1
 
3.3%
138120 1
 
3.3%
5855 2
 
6.7%
5854 2
 
6.7%
5838 1
 
3.3%
5836 3
 
10.0%
5771 1
 
3.3%
5734 2
 
6.7%
5680 9
30.0%
5641 3
 
10.0%

사업장명
Text

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-06T20:31:47.302433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.6333333
Min length5

Characters and Unicode

Total characters289
Distinct characters70
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)36.7%

Sample

1st row(주)청명기연환경
2nd row(주)청명기연환경
3rd row미령환경개발(주)
4th row한국환경설계(주)
5th row(주)청명기연환경
ValueCountFrequency (%)
주식회사 6
16.7%
주)청명기연환경 5
13.9%
청우환경 4
11.1%
미령환경개발(주 4
11.1%
상록환경위생(주 2
 
5.6%
기술법인정평 2
 
5.6%
아시아에코엔지니어링(주 2
 
5.6%
유앤아이환경기술(주 1
 
2.8%
주)일신종합환경 1
 
2.8%
주)아시아소음진동연구소 1
 
2.8%
Other values (8) 8
22.2%
2024-04-06T20:31:48.038650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 27
 
9.3%
) 21
 
7.3%
( 21
 
7.3%
환 20
 
6.9%
경 20
 
6.9%
청 10
 
3.5%
기 8
 
2.8%
아 8
 
2.8%
회 6
 
2.1%
연 6
 
2.1%
Other values (60) 142
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 241
83.4%
Close Punctuation 21
 
7.3%
Open Punctuation 21
 
7.3%
Space Separator 6
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
11.2%
환 20
 
8.3%
경 20
 
8.3%
청 10
 
4.1%
기 8
 
3.3%
아 8
 
3.3%
회 6
 
2.5%
연 6
 
2.5%
사 6
 
2.5%
식 6
 
2.5%
Other values (57) 124
51.5%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 241
83.4%
Common 48
 
16.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
11.2%
환 20
 
8.3%
경 20
 
8.3%
청 10
 
4.1%
기 8
 
3.3%
아 8
 
3.3%
회 6
 
2.5%
연 6
 
2.5%
사 6
 
2.5%
식 6
 
2.5%
Other values (57) 124
51.5%
Common
ValueCountFrequency (%)
) 21
43.8%
( 21
43.8%
6
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 241
83.4%
ASCII 48
 
16.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 27
 
11.2%
환 20
 
8.3%
경 20
 
8.3%
청 10
 
4.1%
기 8
 
3.3%
아 8
 
3.3%
회 6
 
2.5%
연 6
 
2.5%
사 6
 
2.5%
식 6
 
2.5%
Other values (57) 124
51.5%
ASCII
ValueCountFrequency (%)
) 21
43.8%
( 21
43.8%
6
 
12.5%

최종수정일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2015-11-24 10:06:20
Maximum2024-04-04 08:52:21
2024-04-06T20:31:48.411636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:31:48.752040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
U
26 
I
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 26
86.7%
I 4
 
13.3%

Length

2024-04-06T20:31:49.000638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:49.150360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 26
86.7%
i 4
 
13.3%

데이터갱신일자
Date

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2019-03-30 02:20:09
Maximum2023-12-04 00:06:00
2024-04-06T20:31:49.320767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:31:49.521112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)40.0%
Missing5
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean209924.68
Minimum208088.56
Maximum212784.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T20:31:49.708257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum208088.56
5-th percentile208783.78
Q1208783.78
median208920.31
Q3210236
95-th percentile212784.62
Maximum212784.62
Range4696.0579
Interquartile range (IQR)1452.2169

Descriptive statistics

Standard deviation1564.8621
Coefficient of variation (CV)0.0074543978
Kurtosis-0.41172639
Mean209924.68
Median Absolute Deviation (MAD)322.85948
Skewness1.0302795
Sum5248117
Variance2448793.3
MonotonicityNot monotonic
2024-04-06T20:31:49.855967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
208783.783122312 7
23.3%
212784.616145219 4
13.3%
208827.801295005 3
10.0%
209991.397550963 3
10.0%
208920.309871536 2
 
6.7%
210236.0 2
 
6.7%
208088.558210131 1
 
3.3%
209243.169349927 1
 
3.3%
210986.460698452 1
 
3.3%
212403.643733203 1
 
3.3%
(Missing) 5
16.7%
ValueCountFrequency (%)
208088.558210131 1
 
3.3%
208783.783122312 7
23.3%
208827.801295005 3
10.0%
208920.309871536 2
 
6.7%
209243.169349927 1
 
3.3%
209991.397550963 3
10.0%
210236.0 2
 
6.7%
210986.460698452 1
 
3.3%
212403.643733203 1
 
3.3%
212784.616145219 4
13.3%
ValueCountFrequency (%)
212784.616145219 4
13.3%
212403.643733203 1
 
3.3%
210986.460698452 1
 
3.3%
210236.0 2
 
6.7%
209991.397550963 3
10.0%
209243.169349927 1
 
3.3%
208920.309871536 2
 
6.7%
208827.801295005 3
10.0%
208783.783122312 7
23.3%
208088.558210131 1
 
3.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)40.0%
Missing5
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean444345.49
Minimum441725.29
Maximum445935.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T20:31:50.021927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441725.29
5-th percentile442574
Q1444102.41
median444488.5
Q3444889.66
95-th percentile445435.04
Maximum445935.09
Range4209.799
Interquartile range (IQR)787.25765

Descriptive statistics

Standard deviation947.65301
Coefficient of variation (CV)0.0021326941
Kurtosis1.7982713
Mean444345.49
Median Absolute Deviation (MAD)386.09307
Skewness-1.1411056
Sum11108637
Variance898046.23
MonotonicityNot monotonic
2024-04-06T20:31:50.189013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
444488.498088996 7
23.3%
444102.40501477 4
13.3%
444502.015619631 3
10.0%
445435.041229202 3
10.0%
444889.662668083 2
 
6.7%
442574.0 2
 
6.7%
444991.490732515 1
 
3.3%
445935.092530909 1
 
3.3%
441725.293491662 1
 
3.3%
443417.837902915 1
 
3.3%
(Missing) 5
16.7%
ValueCountFrequency (%)
441725.293491662 1
 
3.3%
442574.0 2
 
6.7%
443417.837902915 1
 
3.3%
444102.40501477 4
13.3%
444488.498088996 7
23.3%
444502.015619631 3
10.0%
444889.662668083 2
 
6.7%
444991.490732515 1
 
3.3%
445435.041229202 3
10.0%
445935.092530909 1
 
3.3%
ValueCountFrequency (%)
445935.092530909 1
 
3.3%
445435.041229202 3
10.0%
444991.490732515 1
 
3.3%
444889.662668083 2
 
6.7%
444502.015619631 3
10.0%
444488.498088996 7
23.3%
444102.40501477 4
13.3%
443417.837902915 1
 
3.3%
442574.0 2
 
6.7%
441725.293491662 1
 
3.3%

실험실면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

사업장구분명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
18 
측정대행업
12 

Length

Max length5
Median length4
Mean length4.4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row측정대행업
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
60.0%
측정대행업 12
40.0%

Length

2024-04-06T20:31:50.421529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:50.595099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
60.0%
측정대행업 12
40.0%

영업소면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

위탁업체명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

실험실지역코드
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
18 
1171010500
5 
1171011400
4 
1171010900
 
1
1171011100
 
1

Length

Max length10
Median length4
Mean length6.4
Min length4

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row<NA>
2nd row<NA>
3rd row1171011400
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
60.0%
1171010500 5
 
16.7%
1171011400 4
 
13.3%
1171010900 1
 
3.3%
1171011100 1
 
3.3%
1171010800 1
 
3.3%

Length

2024-04-06T20:31:50.870122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:51.117892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
60.0%
1171010500 5
 
16.7%
1171011400 4
 
13.3%
1171010900 1
 
3.3%
1171011100 1
 
3.3%
1171010800 1
 
3.3%

실험실우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
138190
 
1
138843
 
1

Length

Max length6
Median length4
Mean length4.1333333
Min length4

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 28
93.3%
138190 1
 
3.3%
138843 1
 
3.3%

Length

2024-04-06T20:31:51.399844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:51.612020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
138190 1
 
3.3%
138843 1
 
3.3%

실험실산
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
18 
1
12 

Length

Max length4
Median length4
Mean length2.8
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
60.0%
1 12
40.0%

Length

2024-04-06T20:31:51.832850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:52.003195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
60.0%
1 12
40.0%

실험실번지
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)54.5%
Missing19
Missing (%)63.3%
Infinite0
Infinite (%)0.0%
Mean232.09091
Minimum33
Maximum692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T20:31:52.142415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile33
Q172
median156
Q3235
95-th percentile663
Maximum692
Range659
Interquartile range (IQR)163

Descriptive statistics

Standard deviation227.64598
Coefficient of variation (CV)0.98084832
Kurtosis1.0096893
Mean232.09091
Median Absolute Deviation (MAD)79
Skewness1.407629
Sum2553
Variance51822.691
MonotonicityNot monotonic
2024-04-06T20:31:52.299736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
33 3
 
10.0%
235 3
 
10.0%
156 2
 
6.7%
692 1
 
3.3%
111 1
 
3.3%
634 1
 
3.3%
(Missing) 19
63.3%
ValueCountFrequency (%)
33 3
10.0%
111 1
 
3.3%
156 2
6.7%
235 3
10.0%
634 1
 
3.3%
692 1
 
3.3%
ValueCountFrequency (%)
692 1
 
3.3%
634 1
 
3.3%
235 3
10.0%
156 2
6.7%
111 1
 
3.3%
33 3
10.0%

실험실호
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
23 
18
3 
4
 
2
2
 
1
15
 
1

Length

Max length4
Median length4
Mean length3.4333333
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 23
76.7%
18 3
 
10.0%
4 2
 
6.7%
2 1
 
3.3%
15 1
 
3.3%

Length

2024-04-06T20:31:52.497483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:52.661178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
76.7%
18 3
 
10.0%
4 2
 
6.7%
2 1
 
3.3%
15 1
 
3.3%

실험실통
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

실험실반
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

실험실특수주소
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing28
Missing (%)93.3%
Memory size372.0 B
2024-04-06T20:31:52.888563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length10
Min length4

Characters and Unicode

Total characters20
Distinct characters18
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row건영빌딩
2nd row가든파이브라이프 T 7029호
ValueCountFrequency (%)
건영빌딩 1
25.0%
가든파이브라이프 1
25.0%
t 1
25.0%
7029호 1
25.0%
2024-04-06T20:31:53.334950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 2
 
10.0%
2
 
10.0%
건 1
 
5.0%
프 1
 
5.0%
9 1
 
5.0%
2 1
 
5.0%
0 1
 
5.0%
7 1
 
5.0%
T 1
 
5.0%
라 1
 
5.0%
Other values (8) 8
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13
65.0%
Decimal Number 4
 
20.0%
Space Separator 2
 
10.0%
Uppercase Letter 1
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2
15.4%
건 1
7.7%
프 1
7.7%
라 1
7.7%
영 1
7.7%
브 1
7.7%
파 1
7.7%
든 1
7.7%
가 1
7.7%
딩 1
7.7%
Other values (2) 2
15.4%
Decimal Number
ValueCountFrequency (%)
9 1
25.0%
2 1
25.0%
0 1
25.0%
7 1
25.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13
65.0%
Common 6
30.0%
Latin 1
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2
15.4%
건 1
7.7%
프 1
7.7%
라 1
7.7%
영 1
7.7%
브 1
7.7%
파 1
7.7%
든 1
7.7%
가 1
7.7%
딩 1
7.7%
Other values (2) 2
15.4%
Common
ValueCountFrequency (%)
2
33.3%
9 1
16.7%
2 1
16.7%
0 1
16.7%
7 1
16.7%
Latin
ValueCountFrequency (%)
T 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13
65.0%
ASCII 7
35.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 2
15.4%
건 1
7.7%
프 1
7.7%
라 1
7.7%
영 1
7.7%
브 1
7.7%
파 1
7.7%
든 1
7.7%
가 1
7.7%
딩 1
7.7%
Other values (2) 2
15.4%
ASCII
ValueCountFrequency (%)
2
28.6%
9 1
14.3%
2 1
14.3%
0 1
14.3%
7 1
14.3%
T 1
14.3%

실험실특수주소동
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

실험실특수주소호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

실험실도로명주소시군구코드
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
18 
11710
12 

Length

Max length5
Median length4
Mean length4.4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row11710
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
60.0%
11710 12
40.0%

Length

2024-04-06T20:31:53.554597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:53.703337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
60.0%
11710 12
40.0%

실험실도로명주소읍면동코드
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
18 
1171010500
5 
1171011400
4 
1171010800
2 
1171011100
 
1

Length

Max length10
Median length4
Mean length6.4
Min length4

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row<NA>
2nd row<NA>
3rd row1171011400
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
60.0%
1171010500 5
 
16.7%
1171011400 4
 
13.3%
1171010800 2
 
6.7%
1171011100 1
 
3.3%

Length

2024-04-06T20:31:53.871576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:54.065481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
60.0%
1171010500 5
 
16.7%
1171011400 4
 
13.3%
1171010800 2
 
6.7%
1171011100 1
 
3.3%

실험실도로명주소읍면동구분
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
18 
1
12 

Length

Max length4
Median length4
Mean length2.8
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
60.0%
1 12
40.0%

Length

2024-04-06T20:31:54.361845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:54.615701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
60.0%
1 12
40.0%

실험실도로명주소코드
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)50.0%
Missing18
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean3790322
Minimum3123004
Maximum4853405
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T20:31:54.761950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3123004
5-th percentile3123004
Q13123004
median4169186
Q34169244
95-th percentile4477191.2
Maximum4853405
Range1730401
Interquartile range (IQR)1046240

Descriptive statistics

Standard deviation619248.61
Coefficient of variation (CV)0.16337625
Kurtosis-1.4696371
Mean3790322
Median Absolute Deviation (MAD)342206.5
Skewness0.019317658
Sum45483864
Variance3.8346884 × 1011
MonotonicityNot monotonic
2024-04-06T20:31:54.934747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3123004 4
 
13.3%
4169186 3
 
10.0%
4169244 2
 
6.7%
4853405 1
 
3.3%
4169380 1
 
3.3%
3123017 1
 
3.3%
(Missing) 18
60.0%
ValueCountFrequency (%)
3123004 4
13.3%
3123017 1
 
3.3%
4169186 3
10.0%
4169244 2
6.7%
4169380 1
 
3.3%
4853405 1
 
3.3%
ValueCountFrequency (%)
4853405 1
 
3.3%
4169380 1
 
3.3%
4169244 2
6.7%
4169186 3
10.0%
3123017 1
 
3.3%
3123004 4
13.3%

실험실도로명특수주소
Text

MISSING 

Distinct8
Distinct (%)66.7%
Missing18
Missing (%)60.0%
Memory size372.0 B
2024-04-06T20:31:55.202926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length9.4166667
Min length5

Characters and Unicode

Total characters113
Distinct characters35
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)41.7%

Sample

1st row(마천동, 대산빌딩 5층)
2nd row(석촌동)
3rd row(석촌동)
4th row(석촌동)
5th row에이동동 111호 (문정동)
ValueCountFrequency (%)
석촌동 5
20.8%
마천동 4
16.7%
1층 2
 
8.3%
5층 2
 
8.3%
문정동 2
 
8.3%
대산빌딩 1
 
4.2%
에이동동 1
 
4.2%
111호 1
 
4.2%
건영빌딩 1
 
4.2%
2층 1
 
4.2%
Other values (4) 4
16.7%
2024-04-06T20:31:55.765330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 14
 
12.4%
( 12
 
10.6%
) 12
 
10.6%
12
 
10.6%
층 5
 
4.4%
촌 5
 
4.4%
석 5
 
4.4%
1 5
 
4.4%
이 4
 
3.5%
천 4
 
3.5%
Other values (25) 35
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63
55.8%
Open Punctuation 12
 
10.6%
Close Punctuation 12
 
10.6%
Space Separator 12
 
10.6%
Decimal Number 12
 
10.6%
Uppercase Letter 1
 
0.9%
Other Punctuation 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 14
22.2%
층 5
 
7.9%
촌 5
 
7.9%
석 5
 
7.9%
이 4
 
6.3%
천 4
 
6.3%
마 4
 
6.3%
빌 2
 
3.2%
딩 2
 
3.2%
호 2
 
3.2%
Other values (14) 16
25.4%
Decimal Number
ValueCountFrequency (%)
1 5
41.7%
5 2
 
16.7%
2 2
 
16.7%
0 1
 
8.3%
7 1
 
8.3%
9 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63
55.8%
Common 49
43.4%
Latin 1
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 14
22.2%
층 5
 
7.9%
촌 5
 
7.9%
석 5
 
7.9%
이 4
 
6.3%
천 4
 
6.3%
마 4
 
6.3%
빌 2
 
3.2%
딩 2
 
3.2%
호 2
 
3.2%
Other values (14) 16
25.4%
Common
ValueCountFrequency (%)
( 12
24.5%
) 12
24.5%
12
24.5%
1 5
10.2%
5 2
 
4.1%
2 2
 
4.1%
0 1
 
2.0%
7 1
 
2.0%
, 1
 
2.0%
9 1
 
2.0%
Latin
ValueCountFrequency (%)
T 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63
55.8%
ASCII 50
44.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 14
22.2%
층 5
 
7.9%
촌 5
 
7.9%
석 5
 
7.9%
이 4
 
6.3%
천 4
 
6.3%
마 4
 
6.3%
빌 2
 
3.2%
딩 2
 
3.2%
호 2
 
3.2%
Other values (14) 16
25.4%
ASCII
ValueCountFrequency (%)
( 12
24.0%
) 12
24.0%
12
24.0%
1 5
10.0%
5 2
 
4.0%
2 2
 
4.0%
0 1
 
2.0%
7 1
 
2.0%
T 1
 
2.0%
, 1
 
2.0%

실험실도로명주소건물층구분
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
18 
0
12 

Length

Max length4
Median length4
Mean length2.8
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
60.0%
0 12
40.0%

Length

2024-04-06T20:31:55.995047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:56.247992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
60.0%
0 12
40.0%

실험실도로명주소건물본번호
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
18 
251
4 
11
3 
12
3 
13
 
1

Length

Max length4
Median length4
Mean length3.3333333
Min length2

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row<NA>
2nd row<NA>
3rd row251
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
60.0%
251 4
 
13.3%
11 3
 
10.0%
12 3
 
10.0%
13 1
 
3.3%
66 1
 
3.3%

Length

2024-04-06T20:31:56.561407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:56.940233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
60.0%
251 4
 
13.3%
11 3
 
10.0%
12 3
 
10.0%
13 1
 
3.3%
66 1
 
3.3%

실험실도로명주소건물부번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
11
 
2

Length

Max length4
Median length4
Mean length3.8666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 28
93.3%
11 2
 
6.7%

Length

2024-04-06T20:31:57.253730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:57.498496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
11 2
 
6.7%

실험실도로명주소우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
26 
5680
 
2
5641
 
1
5838
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 26
86.7%
5680 2
 
6.7%
5641 1
 
3.3%
5838 1
 
3.3%

Length

2024-04-06T20:31:57.777600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:57.971771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
86.7%
5680 2
 
6.7%
5641 1
 
3.3%
5838 1
 
3.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
032300003230000662004000012004-05-29<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-424-2007<NA><NA>서울특별시 송파구 석촌동 235-20 한양빌딩서울특별시 송파구 백제고분로36길 6, 한양빌딩 (석촌동)5680(주)청명기연환경2024-04-04 08:52:10U2023-12-04 00:06:00.0<NA>208783.783122444488.498089<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
132300003230000662007000012007-07-06<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-424-2007<NA><NA>서울특별시 송파구 석촌동 235-20 한양빌딩서울특별시 송파구 백제고분로36길 6, 한양빌딩 (석촌동)5680(주)청명기연환경2024-04-04 08:52:15U2023-12-04 00:06:00.0<NA>208783.783122444488.498089<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2323000032300006620090000220090827<NA>4취소/말소/만료/정지/중지4폐쇄20190816<NA><NA><NA><NA><NA><NA>서울특별시 송파구 마천동 33서울특별시 송파구 마천로 251 (마천동, 대산빌딩 5층)138120미령환경개발(주)2020-02-06 14:13:58U2020-02-08 02:40:00.0<NA>212784.616145444102.405015<NA>측정대행업<NA><NA>1171011400<NA>133<NA><NA><NA><NA><NA><NA>11710117101140013123004(마천동, 대산빌딩 5층)0251<NA><NA>
332300003230000662009000032009-02-04<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-401-3825<NA><NA>서울특별시 송파구 삼전동 22-1 202호서울특별시 송파구 석촌호수로 138, 202호 (삼전동)5600한국환경설계(주)2023-11-23 17:57:57U2022-10-31 22:05:00.0<NA>208088.55821444991.490733<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
432300003230000662010000012010-06-07<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-424-2007<NA><NA>서울특별시 송파구 석촌동 235-20 한양빌딩서울특별시 송파구 백제고분로36길 6, 한양빌딩 (석촌동)5680(주)청명기연환경2024-04-04 08:52:21U2023-12-04 00:06:00.0<NA>208783.783122444488.498089<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5323000032300006620100000220100729<NA>3폐업2폐업20110607<NA><NA><NA>4245701<NA><NA>서울특별시 송파구 석촌동 156-4서울특별시 송파구 석촌호수로18길 11-11 (석촌동)<NA>유앤아이환경(주)2015-11-24 10:06:20I2019-03-30 02:20:09.0<NA>208920.309872444889.662668<NA>측정대행업<NA><NA>117101050013819011564<NA><NA><NA><NA><NA>11710117101050014169244(석촌동)01111<NA>
632300003230000662011000012011-04-18<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-424-2007<NA><NA>서울특별시 송파구 석촌동 235-20 한양빌딩서울특별시 송파구 백제고분로36길 6, 한양빌딩 (석촌동)5680(주)청명기연환경2024-04-04 08:51:46U2023-12-04 00:06:00.0<NA>208783.783122444488.498089<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7323000032300006620110000220110518<NA>3폐업2폐업20110607<NA><NA><NA><NA><NA><NA>서울특별시 송파구 석촌동 156-4서울특별시 송파구 석촌호수로18길 11-11 (석촌동)<NA>유앤아이환경기술(주)2015-11-24 10:07:08I2019-03-30 02:20:09.0<NA>208920.309872444889.662668<NA>측정대행업<NA><NA>117101050013884311564<NA><NA><NA><NA><NA>11710117101050014169244(석촌동)01111<NA>
8323000032300006620120000120120726<NA>3폐업2폐업20180816<NA><NA><NA>02-424-2007<NA><NA>서울특별시 송파구 석촌동 235-18서울특별시 송파구 백제고분로36길 12 (석촌동)<NA>(주)청명기연환경2020-02-26 10:47:03U2020-02-28 02:40:00.0<NA>208827.801295444502.01562<NA>측정대행업<NA><NA>1171010500<NA>123518<NA><NA><NA><NA><NA>11710117101050014169186(석촌동)012<NA><NA>
9323000032300006620140000120140723<NA>4취소/말소/만료/정지/중지4폐쇄20191231<NA><NA><NA>02-861-4488<NA><NA><NA>서울특별시 송파구 법원로11길 11-111 (문정동, 문정현대지지식산업센터1-1)5836(주)일신종합환경2020-02-06 14:41:54U2020-02-08 02:40:00.0<NA><NA><NA><NA>측정대행업<NA><NA>1171010900<NA>16922<NA><NA><NA><NA><NA>11710117101080014853405에이동동 111호 (문정동)011<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
2032300003230000662018000032018-11-20<NA>3폐업2폐업2023-04-30<NA><NA><NA>02-6952-7880<NA><NA>서울특별시 송파구 석촌동 235-20 4층서울특별시 송파구 백제고분로36길 6, 4층 (석촌동)5680주식회사 청우환경2023-05-15 10:06:42U2022-12-04 23:07:00.0<NA>208783.783122444488.498089<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2132300003230000662019000012019-01-31<NA>3폐업2폐업2023-04-30<NA><NA><NA>02-6952-7880<NA><NA>서울특별시 송파구 석촌동 235-20 4층서울특별시 송파구 백제고분로36길 6, 4층 (석촌동)5680주식회사 청우환경2023-05-15 10:06:27U2022-12-04 23:07:00.0<NA>208783.783122444488.498089<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
22323000032300006620190000220190131<NA>4취소/말소/만료/정지/중지4폐쇄20190131<NA><NA><NA>02-6952-7880<NA><NA>서울특별시 송파구 석촌동 235-18서울특별시 송파구 백제고분로36길 12 (석촌동)5680(주)청우환경2019-10-28 09:12:47U2019-10-30 02:40:00.0<NA>208827.801295444502.01562<NA>측정대행업<NA><NA>1171010500<NA>123518<NA><NA><NA><NA><NA>117101171010500141691861층 (석촌동)012<NA>5680
2332300003230000662019000032019-10-28<NA>3폐업2폐업2023-04-30<NA><NA><NA>02-6952-7880<NA><NA>서울특별시 송파구 석촌동 235-20 한양빌딩 4층서울특별시 송파구 백제고분로36길 6, 한양빌딩 4층 (석촌동)5680주식회사 청우환경2023-05-15 10:06:07U2022-12-04 23:07:00.0<NA>208783.783122444488.498089<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
24323000032300006620190000420191028<NA>4취소/말소/만료/정지/중지4폐쇄20191028<NA><NA><NA>02-6952-7880<NA><NA>서울특별시 송파구 석촌동 235-18서울특별시 송파구 백제고분로36길 12, 1층 (석촌동)5680주식회사 청우환경2021-02-02 11:02:14U2021-02-04 02:40:00.0<NA>208827.801295444502.01562<NA>측정대행업<NA><NA>1171010500<NA>123518<NA><NA><NA><NA><NA>117101171010500141691861층 (석촌동)012<NA>5680
25323000032300006620220000120220916<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-2135-5277<NA><NA>서울특별시 송파구 문정동 645 에이치비지니스파크 B동 1006호서울특별시 송파구 법원로11길 25, 에이치비지니스파크 B동 1006호 (문정동)5836주식회사 기술법인정평2022-09-16 14:12:49I2021-12-08 23:08:00.0<NA>210236.0442574.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
26323000032300006620220000220220919<NA>5제외/삭제/전출5제외사항<NA><NA><NA><NA>02-2135-5277<NA><NA>서울특별시 송파구 문정동 645 에이치비지니스파크 B동 1006호서울특별시 송파구 법원로11길 25, 에이치비지니스파크 B동 1006호 (문정동)5836주식회사 기술법인정평2022-09-19 10:53:34I2021-12-08 22:01:00.0<NA>210236.0442574.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
27323000032300006620220000320221130<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-6367-0181<NA><NA>서울특별시 송파구 거여동 362 현대아파트서울특별시 송파구 오금로54길 10, 2층 206,207호 (거여동, 현대아파트)5771두성엔지니어링2023-01-20 10:03:58U2022-11-30 22:02:00.0<NA>212403.643733443417.837903<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2832300003230000662023000012023-02-09<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-719-7452<NA><NA>서울특별시 송파구 방이동 111-15 2층서울특별시 송파구 오금로19길 13, 2층 (방이동)5641아시아에코엔지니어링(주)2023-05-26 17:26:44U2022-12-04 22:08:00.0<NA>209991.397551445435.041229<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2932300003230000662023000022023-02-10<NA>5제외/삭제/전출5제외사항<NA><NA><NA><NA>02-719-7452<NA><NA>서울특별시 송파구 방이동 111-15 2층서울특별시 송파구 오금로19길 13, 2층 (방이동)5641아시아에코엔지니어링(주)2023-02-13 10:11:37U2022-12-01 23:05:00.0<NA>209991.397551445435.041229<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>