Overview

Dataset statistics

Number of variables48
Number of observations24
Missing cells339
Missing cells (%)29.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.9 KiB
Average record size in memory422.5 B

Variable types

Categorical18
Numeric10
DateTime3
Unsupported10
Text7

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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-19549/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (68.6%)Imbalance
영업상태명 is highly imbalanced (68.6%)Imbalance
상세영업상태코드 is highly imbalanced (68.6%)Imbalance
상세영업상태명 is highly imbalanced (68.6%)Imbalance
폐업일자 is highly imbalanced (75.0%)Imbalance
영업소면적 is highly imbalanced (58.6%)Imbalance
실험실우편번호 is highly imbalanced (52.7%)Imbalance
실험실특수주소호 is highly imbalanced (55.0%)Imbalance
실험실도로명주소건물부번호 is highly imbalanced (62.9%)Imbalance
실험실도로명주소우편번호 is highly imbalanced (62.9%)Imbalance
인허가취소일자 has 24 (100.0%) missing valuesMissing
휴업시작일자 has 24 (100.0%) missing valuesMissing
휴업종료일자 has 24 (100.0%) missing valuesMissing
재개업일자 has 24 (100.0%) missing valuesMissing
전화번호 has 2 (8.3%) missing valuesMissing
소재지면적 has 24 (100.0%) missing valuesMissing
소재지우편번호 has 24 (100.0%) missing valuesMissing
지번주소 has 3 (12.5%) missing valuesMissing
도로명우편번호 has 10 (41.7%) missing valuesMissing
업태구분명 has 22 (91.7%) missing valuesMissing
위탁업체명 has 24 (100.0%) missing valuesMissing
실험실지역코드 has 7 (29.2%) missing valuesMissing
실험실번지 has 8 (33.3%) missing valuesMissing
실험실호 has 11 (45.8%) missing valuesMissing
실험실통 has 24 (100.0%) missing valuesMissing
실험실반 has 24 (100.0%) missing valuesMissing
실험실특수주소 has 16 (66.7%) missing valuesMissing
실험실특수주소동 has 24 (100.0%) missing valuesMissing
실험실도로명주소읍면동코드 has 5 (20.8%) missing valuesMissing
실험실도로명주소코드 has 5 (20.8%) missing valuesMissing
실험실도로명특수주소 has 5 (20.8%) missing valuesMissing
실험실도로명주소건물본번호 has 5 (20.8%) 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
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

Reproduction

Analysis started2024-04-29 19:57:45.639740
Analysis finished2024-04-29 19:57:46.404252
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
3220000
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 24
100.0%

Length

2024-04-30T04:57:46.465774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:46.537157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 24
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2200007 × 1017
Minimum3.2200007 × 1017
Maximum3.2200007 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T04:57:46.614542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2200007 × 1017
5-th percentile3.2200007 × 1017
Q13.2200007 × 1017
median3.2200007 × 1017
Q33.2200007 × 1017
95-th percentile3.2200007 × 1017
Maximum3.2200007 × 1017
Range1699982
Interquartile range (IQR)724992

Descriptive statistics

Standard deviation455382.88
Coefficient of variation (CV)1.4142323 × 10-12
Kurtosis-0.58152347
Mean3.2200007 × 1017
Median Absolute Deviation (MAD)400000
Skewness-0.045839198
Sum7.7280016 × 1018
Variance2.0737357 × 1011
MonotonicityStrictly increasing
2024-04-30T04:57:46.738682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
322000066200500019 1
 
4.2%
322000066201400003 1
 
4.2%
322000066202200001 1
 
4.2%
322000066202100001 1
 
4.2%
322000066202000001 1
 
4.2%
322000066201900002 1
 
4.2%
322000066201900001 1
 
4.2%
322000066201800002 1
 
4.2%
322000066201800001 1
 
4.2%
322000066201600001 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
322000066200500019 1
4.2%
322000066200600001 1
4.2%
322000066200900010 1
4.2%
322000066201000001 1
4.2%
322000066201000002 1
4.2%
322000066201000003 1
4.2%
322000066201100001 1
4.2%
322000066201200001 1
4.2%
322000066201200002 1
4.2%
322000066201200003 1
4.2%
ValueCountFrequency (%)
322000066202200001 1
4.2%
322000066202100001 1
4.2%
322000066202000001 1
4.2%
322000066201900002 1
4.2%
322000066201900001 1
4.2%
322000066201800002 1
4.2%
322000066201800001 1
4.2%
322000066201600001 1
4.2%
322000066201500002 1
4.2%
322000066201500001 1
4.2%

인허가일자
Date

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2005-04-25 00:00:00
Maximum2022-03-28 00:00:00
2024-04-30T04:57:46.844563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:57:46.949294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
22 
3
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 22
91.7%
3 1
 
4.2%
5 1
 
4.2%

Length

2024-04-30T04:57:47.042829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:47.119860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 22
91.7%
3 1
 
4.2%
5 1
 
4.2%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업/정상
22 
폐업
 
1
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length5
Min length2

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 22
91.7%
폐업 1
 
4.2%
제외/삭제/전출 1
 
4.2%

Length

2024-04-30T04:57:47.208202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:47.283056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 22
91.7%
폐업 1
 
4.2%
제외/삭제/전출 1
 
4.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
BBBB
22 
2
 
1
5
 
1

Length

Max length4
Median length4
Mean length3.75
Min length1

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
BBBB 22
91.7%
2 1
 
4.2%
5 1
 
4.2%

Length

2024-04-30T04:57:47.379891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:47.459684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 22
91.7%
2 1
 
4.2%
5 1
 
4.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업
22 
폐업
 
1
제외사항
 
1

Length

Max length4
Median length2
Mean length2.0833333
Min length2

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업 22
91.7%
폐업 1
 
4.2%
제외사항 1
 
4.2%

Length

2024-04-30T04:57:47.544064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:47.643733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 22
91.7%
폐업 1
 
4.2%
제외사항 1
 
4.2%

폐업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
23 
20140729
 
1

Length

Max length8
Median length4
Mean length4.1666667
Min length4

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
95.8%
20140729 1
 
4.2%

Length

2024-04-30T04:57:47.752534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:47.837353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
95.8%
20140729 1
 
4.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

전화번호
Text

MISSING 

Distinct18
Distinct (%)81.8%
Missing2
Missing (%)8.3%
Memory size324.0 B
2024-04-30T04:57:47.960346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length9.9090909
Min length8

Characters and Unicode

Total characters218
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

Unique15 ?
Unique (%)68.2%

Sample

1st row025013733
2nd row02-556-8669
3rd row025188189
4th row20573266
5th row20579450
ValueCountFrequency (%)
02-558-0459 3
 
13.6%
2057-9450 2
 
9.1%
07048701100 2
 
9.1%
025525403 1
 
4.5%
025013733 1
 
4.5%
02-549-8723 1
 
4.5%
02-545-7811 1
 
4.5%
02-558-0451 1
 
4.5%
027402426 1
 
4.5%
02-558-3621 1
 
4.5%
Other values (8) 8
36.4%
2024-04-30T04:57:48.240200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 40
18.3%
5 35
16.1%
2 26
11.9%
- 22
10.1%
4 16
 
7.3%
8 15
 
6.9%
9 15
 
6.9%
7 14
 
6.4%
1 14
 
6.4%
3 10
 
4.6%
Other values (2) 11
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 195
89.4%
Dash Punctuation 22
 
10.1%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40
20.5%
5 35
17.9%
2 26
13.3%
4 16
 
8.2%
8 15
 
7.7%
9 15
 
7.7%
7 14
 
7.2%
1 14
 
7.2%
3 10
 
5.1%
6 10
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 218
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 40
18.3%
5 35
16.1%
2 26
11.9%
- 22
10.1%
4 16
 
7.3%
8 15
 
6.9%
9 15
 
6.9%
7 14
 
6.4%
1 14
 
6.4%
3 10
 
4.6%
Other values (2) 11
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 218
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 40
18.3%
5 35
16.1%
2 26
11.9%
- 22
10.1%
4 16
 
7.3%
8 15
 
6.9%
9 15
 
6.9%
7 14
 
6.4%
1 14
 
6.4%
3 10
 
4.6%
Other values (2) 11
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

지번주소
Text

MISSING 

Distinct19
Distinct (%)90.5%
Missing3
Missing (%)12.5%
Memory size324.0 B
2024-04-30T04:57:48.426477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length24.285714
Min length18

Characters and Unicode

Total characters510
Distinct characters64
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)81.0%

Sample

1st row서울특별시 강남구 도곡동 174-3 두산아트스퀘어
2nd row서울특별시 강남구 삼성동 145
3rd row서울특별시 강남구 논현동 203 751빌딩 701호
4th row서울특별시 강남구 일원동 643-2
5th row서울특별시 강남구 도곡동 411-11
ValueCountFrequency (%)
서울특별시 21
20.8%
강남구 21
20.8%
역삼동 12
 
11.9%
729-20 3
 
3.0%
201호 2
 
2.0%
720-25 2
 
2.0%
216호 2
 
2.0%
논현동 2
 
2.0%
662-7 2
 
2.0%
청연빌딩 2
 
2.0%
Other values (30) 32
31.7%
2024-04-30T04:57:48.713192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
18.4%
2 26
 
5.1%
서 22
 
4.3%
남 21
 
4.1%
동 21
 
4.1%
구 21
 
4.1%
울 21
 
4.1%
강 21
 
4.1%
특 21
 
4.1%
시 21
 
4.1%
Other values (54) 221
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
54.7%
Decimal Number 119
23.3%
Space Separator 94
 
18.4%
Dash Punctuation 16
 
3.1%
Math Symbol 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 22
 
7.9%
남 21
 
7.5%
동 21
 
7.5%
구 21
 
7.5%
울 21
 
7.5%
강 21
 
7.5%
특 21
 
7.5%
시 21
 
7.5%
별 21
 
7.5%
삼 14
 
5.0%
Other values (40) 75
26.9%
Decimal Number
ValueCountFrequency (%)
2 26
21.8%
1 19
16.0%
0 16
13.4%
7 15
12.6%
6 11
9.2%
3 10
 
8.4%
9 8
 
6.7%
4 8
 
6.7%
5 4
 
3.4%
8 2
 
1.7%
Space Separator
ValueCountFrequency (%)
94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
54.7%
Common 231
45.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 22
 
7.9%
남 21
 
7.5%
동 21
 
7.5%
구 21
 
7.5%
울 21
 
7.5%
강 21
 
7.5%
특 21
 
7.5%
시 21
 
7.5%
별 21
 
7.5%
삼 14
 
5.0%
Other values (40) 75
26.9%
Common
ValueCountFrequency (%)
94
40.7%
2 26
 
11.3%
1 19
 
8.2%
0 16
 
6.9%
- 16
 
6.9%
7 15
 
6.5%
6 11
 
4.8%
3 10
 
4.3%
9 8
 
3.5%
4 8
 
3.5%
Other values (4) 8
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
54.7%
ASCII 231
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
40.7%
2 26
 
11.3%
1 19
 
8.2%
0 16
 
6.9%
- 16
 
6.9%
7 15
 
6.5%
6 11
 
4.8%
3 10
 
4.3%
9 8
 
3.5%
4 8
 
3.5%
Other values (4) 8
 
3.5%
Hangul
ValueCountFrequency (%)
서 22
 
7.9%
남 21
 
7.5%
동 21
 
7.5%
구 21
 
7.5%
울 21
 
7.5%
강 21
 
7.5%
특 21
 
7.5%
시 21
 
7.5%
별 21
 
7.5%
삼 14
 
5.0%
Other values (40) 75
26.9%

도로명주소
Text

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-30T04:57:48.903193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length36
Mean length32.125
Min length25

Characters and Unicode

Total characters771
Distinct characters83
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)75.0%

Sample

1st row서울특별시 강남구 남부순환로 2749 (도곡동)
2nd row서울특별시 강남구 봉은사로 502 (삼성동)
3rd row서울특별시 강남구 봉은사로 129-1 (논현동,751빌딩 701호)
4th row서울특별시 강남구 양재대로55길 29 (일원동)
5th row서울특별시 강남구 남부순환로 2722 (도곡동)
ValueCountFrequency (%)
서울특별시 24
 
16.9%
강남구 24
 
16.9%
역삼동 11
 
7.7%
16 4
 
2.8%
언주로 4
 
2.8%
역삼로33길 4
 
2.8%
논현동 2
 
1.4%
남부순환로 2
 
1.4%
봉은사로 2
 
1.4%
547 2
 
1.4%
Other values (55) 63
44.4%
2024-04-30T04:57:49.210129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
 
16.1%
1 30
 
3.9%
남 27
 
3.5%
, 26
 
3.4%
동 25
 
3.2%
로 25
 
3.2%
서 25
 
3.2%
강 25
 
3.2%
( 24
 
3.1%
울 24
 
3.1%
Other values (73) 416
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 423
54.9%
Decimal Number 148
 
19.2%
Space Separator 124
 
16.1%
Other Punctuation 26
 
3.4%
Open Punctuation 24
 
3.1%
Close Punctuation 24
 
3.1%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 27
 
6.4%
동 25
 
5.9%
로 25
 
5.9%
서 25
 
5.9%
강 25
 
5.9%
울 24
 
5.7%
시 24
 
5.7%
별 24
 
5.7%
특 24
 
5.7%
구 24
 
5.7%
Other values (58) 176
41.6%
Decimal Number
ValueCountFrequency (%)
1 30
20.3%
2 24
16.2%
3 22
14.9%
0 15
10.1%
5 15
10.1%
7 12
 
8.1%
6 10
 
6.8%
8 8
 
5.4%
4 8
 
5.4%
9 4
 
2.7%
Space Separator
ValueCountFrequency (%)
124
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 423
54.9%
Common 348
45.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 27
 
6.4%
동 25
 
5.9%
로 25
 
5.9%
서 25
 
5.9%
강 25
 
5.9%
울 24
 
5.7%
시 24
 
5.7%
별 24
 
5.7%
특 24
 
5.7%
구 24
 
5.7%
Other values (58) 176
41.6%
Common
ValueCountFrequency (%)
124
35.6%
1 30
 
8.6%
, 26
 
7.5%
( 24
 
6.9%
2 24
 
6.9%
) 24
 
6.9%
3 22
 
6.3%
0 15
 
4.3%
5 15
 
4.3%
7 12
 
3.4%
Other values (5) 32
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 423
54.9%
ASCII 348
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
35.6%
1 30
 
8.6%
, 26
 
7.5%
( 24
 
6.9%
2 24
 
6.9%
) 24
 
6.9%
3 22
 
6.3%
0 15
 
4.3%
5 15
 
4.3%
7 12
 
3.4%
Other values (5) 32
 
9.2%
Hangul
ValueCountFrequency (%)
남 27
 
6.4%
동 25
 
5.9%
로 25
 
5.9%
서 25
 
5.9%
강 25
 
5.9%
울 24
 
5.7%
시 24
 
5.7%
별 24
 
5.7%
특 24
 
5.7%
구 24
 
5.7%
Other values (58) 176
41.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)78.6%
Missing10
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean43195
Minimum6104
Maximum135996
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T04:57:49.308632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6104
5-th percentile6122.2
Q16139.75
median6234.5
Q3103219.75
95-th percentile135838.7
Maximum135996
Range129892
Interquartile range (IQR)97080

Descriptive statistics

Standard deviation60708.707
Coefficient of variation (CV)1.4054568
Kurtosis-1.034037
Mean43195
Median Absolute Deviation (MAD)99.5
Skewness1.0665447
Sum604730
Variance3.6855472 × 109
MonotonicityNot monotonic
2024-04-30T04:57:49.399728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
6248 2
 
8.3%
6221 2
 
8.3%
6138 2
 
8.3%
135504 1
 
4.2%
135514 1
 
4.2%
135754 1
 
4.2%
135996 1
 
4.2%
6132 1
 
4.2%
6104 1
 
4.2%
6145 1
 
4.2%
(Missing) 10
41.7%
ValueCountFrequency (%)
6104 1
4.2%
6132 1
4.2%
6138 2
8.3%
6145 1
4.2%
6221 2
8.3%
6248 2
8.3%
6367 1
4.2%
135504 1
4.2%
135514 1
4.2%
135754 1
4.2%
ValueCountFrequency (%)
135996 1
4.2%
135754 1
4.2%
135514 1
4.2%
135504 1
4.2%
6367 1
4.2%
6248 2
8.3%
6221 2
8.3%
6145 1
4.2%
6138 2
8.3%
6132 1
4.2%

사업장명
Text

Distinct18
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-30T04:57:49.550303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12.5
Mean length9.5
Min length4

Characters and Unicode

Total characters228
Distinct characters72
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

Unique14 ?
Unique (%)58.3%

Sample

1st row두산건설(주)
2nd row유노빅스이엔씨(주)
3rd row(주)한국건설환경
4th row(주)중앙종합안전기술연구원
5th row(주)친환경계획그룹 청연
ValueCountFrequency (%)
주)친환경계획그룹 3
 
11.1%
주)아이헤스 3
 
11.1%
청연 3
 
11.1%
삼환기업(주 2
 
7.4%
지와이컨설팅 2
 
7.4%
주)해담이엔지 1
 
3.7%
두산건설(주 1
 
3.7%
이지엔텍 1
 
3.7%
주)한국건물성능평가 1
 
3.7%
주)아키사운드 1
 
3.7%
Other values (9) 9
33.3%
2024-04-30T04:57:49.844736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 21
 
9.2%
) 21
 
9.2%
주 21
 
9.2%
이 11
 
4.8%
엔 9
 
3.9%
지 9
 
3.9%
환 6
 
2.6%
설 5
 
2.2%
아 5
 
2.2%
스 5
 
2.2%
Other values (62) 115
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
80.3%
Open Punctuation 21
 
9.2%
Close Punctuation 21
 
9.2%
Space Separator 3
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 21
 
11.5%
이 11
 
6.0%
엔 9
 
4.9%
지 9
 
4.9%
환 6
 
3.3%
설 5
 
2.7%
아 5
 
2.7%
스 5
 
2.7%
니 4
 
2.2%
어 4
 
2.2%
Other values (59) 104
56.8%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 183
80.3%
Common 45
 
19.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 21
 
11.5%
이 11
 
6.0%
엔 9
 
4.9%
지 9
 
4.9%
환 6
 
3.3%
설 5
 
2.7%
아 5
 
2.7%
스 5
 
2.7%
니 4
 
2.2%
어 4
 
2.2%
Other values (59) 104
56.8%
Common
ValueCountFrequency (%)
( 21
46.7%
) 21
46.7%
3
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183
80.3%
ASCII 45
 
19.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 21
46.7%
) 21
46.7%
3
 
6.7%
Hangul
ValueCountFrequency (%)
주 21
 
11.5%
이 11
 
6.0%
엔 9
 
4.9%
지 9
 
4.9%
환 6
 
3.3%
설 5
 
2.7%
아 5
 
2.7%
스 5
 
2.7%
니 4
 
2.2%
어 4
 
2.2%
Other values (59) 104
56.8%

최종수정일자
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2010-02-19 08:42:49
Maximum2024-03-25 17:17:04
2024-04-30T04:57:49.962720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:57:50.059273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
I
13 
U
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 13
54.2%
U 11
45.8%

Length

2024-04-30T04:57:50.158711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:50.239338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 13
54.2%
u 11
45.8%

데이터갱신일자
Date

Distinct12
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2019-03-30 02:20:09
Maximum2023-12-02 22:07:00
2024-04-30T04:57:50.314425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:57:50.428564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

업태구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing22
Missing (%)91.7%
Memory size324.0 B
2024-04-30T04:57:50.571120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length10
Min length6

Characters and Unicode

Total characters20
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
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 row종합 건설업
2nd row건축설계 및 관련 서비스업
ValueCountFrequency (%)
종합 1
16.7%
건설업 1
16.7%
건축설계 1
16.7%
및 1
16.7%
관련 1
16.7%
서비스업 1
16.7%
2024-04-30T04:57:50.818930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
20.0%
건 2
10.0%
설 2
10.0%
업 2
10.0%
종 1
 
5.0%
합 1
 
5.0%
축 1
 
5.0%
계 1
 
5.0%
및 1
 
5.0%
관 1
 
5.0%
Other values (4) 4
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16
80.0%
Space Separator 4
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 2
12.5%
설 2
12.5%
업 2
12.5%
종 1
 
6.2%
합 1
 
6.2%
축 1
 
6.2%
계 1
 
6.2%
및 1
 
6.2%
관 1
 
6.2%
련 1
 
6.2%
Other values (3) 3
18.8%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16
80.0%
Common 4
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 2
12.5%
설 2
12.5%
업 2
12.5%
종 1
 
6.2%
합 1
 
6.2%
축 1
 
6.2%
계 1
 
6.2%
및 1
 
6.2%
관 1
 
6.2%
련 1
 
6.2%
Other values (3) 3
18.8%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16
80.0%
ASCII 4
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4
100.0%
Hangul
ValueCountFrequency (%)
건 2
12.5%
설 2
12.5%
업 2
12.5%
종 1
 
6.2%
합 1
 
6.2%
축 1
 
6.2%
계 1
 
6.2%
및 1
 
6.2%
관 1
 
6.2%
련 1
 
6.2%
Other values (3) 3
18.8%

좌표정보(X)
Real number (ℝ)

Distinct18
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203983.73
Minimum202422.4
Maximum209052.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T04:57:50.924860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202422.4
5-th percentile202748.65
Q1203376.52
median203611.97
Q3203947.96
95-th percentile207242.87
Maximum209052.07
Range6629.6681
Interquartile range (IQR)571.44018

Descriptive statistics

Standard deviation1470.9043
Coefficient of variation (CV)0.0072108903
Kurtosis6.8211341
Mean203983.73
Median Absolute Deviation (MAD)260.61412
Skewness2.5402804
Sum4895609.5
Variance2163559.4
MonotonicityNot monotonic
2024-04-30T04:57:51.011985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
203611.969197773 4
16.7%
203376.52 2
 
8.3%
203468.913964504 2
 
8.3%
203705.022134018 2
 
8.3%
204098.596031345 1
 
4.2%
202987.060320542 1
 
4.2%
209052.072465426 1
 
4.2%
203897.748231266 1
 
4.2%
202877.191343983 1
 
4.2%
203129.501105555 1
 
4.2%
Other values (8) 8
33.3%
ValueCountFrequency (%)
202422.404397085 1
 
4.2%
202725.962072631 1
 
4.2%
202877.191343983 1
 
4.2%
202987.060320542 1
 
4.2%
203129.501105555 1
 
4.2%
203376.52 2
8.3%
203468.913964504 2
8.3%
203600.70088597 1
 
4.2%
203611.969197773 4
16.7%
203705.022134018 2
8.3%
ValueCountFrequency (%)
209052.072465426 1
 
4.2%
207630.50722293 1
 
4.2%
205046.260941513 1
 
4.2%
204681.332375585 1
 
4.2%
204109.658483817 1
 
4.2%
204098.596031345 1
 
4.2%
203897.748231266 1
 
4.2%
203801.666098848 1
 
4.2%
203705.022134018 2
8.3%
203611.969197773 4
16.7%

좌표정보(Y)
Real number (ℝ)

Distinct18
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean444122.72
Minimum441599.66
Maximum445814.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T04:57:51.109792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441599.66
5-th percentile442625.09
Q1443595.49
median444103.88
Q3444892.33
95-th percentile445776.08
Maximum445814.61
Range4214.9454
Interquartile range (IQR)1296.8407

Descriptive statistics

Standard deviation1053.5738
Coefficient of variation (CV)0.0023722583
Kurtosis0.082405399
Mean444122.72
Median Absolute Deviation (MAD)765.47363
Skewness-0.3966333
Sum10658945
Variance1110017.8
MonotonicityNot monotonic
2024-04-30T04:57:51.192172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
444002.309741999 4
16.7%
443662.86 2
 
8.3%
444937.661021993 2
 
8.3%
444361.30601261 2
 
8.3%
442807.317224836 1
 
4.2%
445814.606316792 1
 
4.2%
442797.138150563 1
 
4.2%
445092.577109476 1
 
4.2%
445803.422821433 1
 
4.2%
444340.670924301 1
 
4.2%
Other values (8) 8
33.3%
ValueCountFrequency (%)
441599.660870096 1
 
4.2%
442594.725541729 1
 
4.2%
442797.138150563 1
 
4.2%
442807.317224836 1
 
4.2%
443203.561575728 1
 
4.2%
443393.389093034 1
 
4.2%
443662.86 2
8.3%
444002.309741999 4
16.7%
444205.456963468 1
 
4.2%
444340.670924301 1
 
4.2%
ValueCountFrequency (%)
445814.606316792 1
4.2%
445803.422821433 1
4.2%
445621.144386783 1
4.2%
445092.577109476 1
4.2%
444937.661021993 2
8.3%
444877.223579374 1
4.2%
444861.490389212 1
4.2%
444361.30601261 2
8.3%
444340.670924301 1
4.2%
444205.456963468 1
4.2%

실험실면적
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
16 
0
5 
47
2 
118
 
1

Length

Max length4
Median length4
Mean length3.1666667
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row118
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 16
66.7%
0 5
 
20.8%
47 2
 
8.3%
118 1
 
4.2%

Length

2024-04-30T04:57:51.290728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:51.559537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
66.7%
0 5
 
20.8%
47 2
 
8.3%
118 1
 
4.2%

사업장구분명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
측정대행업
19 
<NA>
5 

Length

Max length5
Median length5
Mean length4.7916667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
측정대행업 19
79.2%
<NA> 5
 
20.8%

Length

2024-04-30T04:57:51.652346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:51.729755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
측정대행업 19
79.2%
na 5
 
20.8%

영업소면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
22 
0
 
2

Length

Max length4
Median length4
Mean length3.75
Min length1

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> 22
91.7%
0 2
 
8.3%

Length

2024-04-30T04:57:51.808552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:51.894450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
91.7%
0 2
 
8.3%

위탁업체명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

실험실지역코드
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)41.2%
Missing7
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean1.1680105 × 109
Minimum1.1680101 × 109
Maximum1.1680118 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T04:57:51.965872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1680101 × 109
5-th percentile1.1680101 × 109
Q11.1680101 × 109
median1.1680101 × 109
Q31.1680108 × 109
95-th percentile1.1680118 × 109
Maximum1.1680118 × 109
Range1700
Interquartile range (IQR)700

Descriptive statistics

Standard deviation604.69973
Coefficient of variation (CV)5.1771771 × 10-7
Kurtosis0.56829764
Mean1.1680105 × 109
Median Absolute Deviation (MAD)0
Skewness1.3392983
Sum1.9856179 × 1010
Variance365661.76
MonotonicityNot monotonic
2024-04-30T04:57:52.048308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1168010100 9
37.5%
1168011800 2
 
8.3%
1168010800 2
 
8.3%
1168010500 1
 
4.2%
1168011400 1
 
4.2%
1168010300 1
 
4.2%
1168010600 1
 
4.2%
(Missing) 7
29.2%
ValueCountFrequency (%)
1168010100 9
37.5%
1168010300 1
 
4.2%
1168010500 1
 
4.2%
1168010600 1
 
4.2%
1168010800 2
 
8.3%
1168011400 1
 
4.2%
1168011800 2
 
8.3%
ValueCountFrequency (%)
1168011800 2
 
8.3%
1168011400 1
 
4.2%
1168010800 2
 
8.3%
1168010600 1
 
4.2%
1168010500 1
 
4.2%
1168010300 1
 
4.2%
1168010100 9
37.5%

실험실우편번호
Categorical

IMBALANCE 

Distinct6
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
19 
135504
 
1
135545
 
1
135231
 
1
135271
 
1

Length

Max length6
Median length4
Mean length4.4166667
Min length4

Unique

Unique5 ?
Unique (%)20.8%

Sample

1st row135504
2nd row<NA>
3rd row135545
4th row135231
5th row135271

Common Values

ValueCountFrequency (%)
<NA> 19
79.2%
135504 1
 
4.2%
135545 1
 
4.2%
135231 1
 
4.2%
135271 1
 
4.2%
135964 1
 
4.2%

Length

2024-04-30T04:57:52.164472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:52.270997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
79.2%
135504 1
 
4.2%
135545 1
 
4.2%
135231 1
 
4.2%
135271 1
 
4.2%
135964 1
 
4.2%

실험실산
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
17 
<NA>
7 

Length

Max length4
Median length1
Mean length1.875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 17
70.8%
<NA> 7
29.2%

Length

2024-04-30T04:57:52.385477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:52.470784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
70.8%
na 7
29.2%

실험실번지
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing8
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean636.375
Minimum145
Maximum1230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T04:57:52.543160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum145
5-th percentile166.75
Q1584.25
median719.5
Q3729
95-th percentile1014
Maximum1230
Range1085
Interquartile range (IQR)144.75

Descriptive statistics

Standard deviation283.95466
Coefficient of variation (CV)0.4462065
Kurtosis0.51591042
Mean636.375
Median Absolute Deviation (MAD)73.5
Skewness-0.21625161
Sum10182
Variance80630.25
MonotonicityNot monotonic
2024-04-30T04:57:52.638611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
729 2
 
8.3%
720 2
 
8.3%
174 1
 
4.2%
145 1
 
4.2%
203 1
 
4.2%
643 1
 
4.2%
411 1
 
4.2%
790 1
 
4.2%
1230 1
 
4.2%
723 1
 
4.2%
Other values (4) 4
16.7%
(Missing) 8
33.3%
ValueCountFrequency (%)
145 1
4.2%
174 1
4.2%
203 1
4.2%
411 1
4.2%
642 1
4.2%
643 1
4.2%
662 1
4.2%
719 1
4.2%
720 2
8.3%
723 1
4.2%
ValueCountFrequency (%)
1230 1
4.2%
942 1
4.2%
790 1
4.2%
729 2
8.3%
723 1
4.2%
720 2
8.3%
719 1
4.2%
662 1
4.2%
643 1
4.2%
642 1
4.2%

실험실호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)76.9%
Missing11
Missing (%)45.8%
Infinite0
Infinite (%)0.0%
Mean13.461538
Minimum2
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T04:57:52.732159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.6
Q17
median11
Q320
95-th percentile25
Maximum25
Range23
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.0789375
Coefficient of variation (CV)0.60014964
Kurtosis-1.4757641
Mean13.461538
Median Absolute Deviation (MAD)8
Skewness0.088575307
Sum175
Variance65.269231
MonotonicityNot monotonic
2024-04-30T04:57:52.823911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20 3
 
12.5%
25 2
 
8.3%
3 1
 
4.2%
2 1
 
4.2%
11 1
 
4.2%
10 1
 
4.2%
17 1
 
4.2%
6 1
 
4.2%
9 1
 
4.2%
7 1
 
4.2%
(Missing) 11
45.8%
ValueCountFrequency (%)
2 1
 
4.2%
3 1
 
4.2%
6 1
 
4.2%
7 1
 
4.2%
9 1
 
4.2%
10 1
 
4.2%
11 1
 
4.2%
17 1
 
4.2%
20 3
12.5%
25 2
8.3%
ValueCountFrequency (%)
25 2
8.3%
20 3
12.5%
17 1
 
4.2%
11 1
 
4.2%
10 1
 
4.2%
9 1
 
4.2%
7 1
 
4.2%
6 1
 
4.2%
3 1
 
4.2%
2 1
 
4.2%

실험실통
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

실험실반
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

실험실특수주소
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing16
Missing (%)66.7%
Memory size324.0 B
2024-04-30T04:57:52.966713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length6.125
Min length4

Characters and Unicode

Total characters49
Distinct characters30
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st row두산아트스퀘어
2nd row751빌딩 701호
3rd row601호
4th row삼원빌딩 3층
5th row청연빌딩
ValueCountFrequency (%)
두산아트스퀘어 1
8.3%
751빌딩 1
8.3%
701호 1
8.3%
601호 1
8.3%
삼원빌딩 1
8.3%
3층 1
8.3%
청연빌딩 1
8.3%
유덕빌딩 1
8.3%
4층 1
8.3%
재정빌딩 1
8.3%
Other values (2) 2
16.7%
2024-04-30T04:57:53.222300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
빌 6
 
12.2%
딩 5
 
10.2%
4
 
8.2%
1 3
 
6.1%
삼 2
 
4.1%
호 2
 
4.1%
0 2
 
4.1%
7 2
 
4.1%
층 2
 
4.1%
연 1
 
2.0%
Other values (20) 20
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34
69.4%
Decimal Number 11
 
22.4%
Space Separator 4
 
8.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
빌 6
17.6%
딩 5
14.7%
삼 2
 
5.9%
호 2
 
5.9%
층 2
 
5.9%
연 1
 
2.9%
유 1
 
2.9%
두 1
 
2.9%
덕 1
 
2.9%
재 1
 
2.9%
Other values (12) 12
35.3%
Decimal Number
ValueCountFrequency (%)
1 3
27.3%
0 2
18.2%
7 2
18.2%
4 1
 
9.1%
6 1
 
9.1%
3 1
 
9.1%
5 1
 
9.1%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34
69.4%
Common 15
30.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
빌 6
17.6%
딩 5
14.7%
삼 2
 
5.9%
호 2
 
5.9%
층 2
 
5.9%
연 1
 
2.9%
유 1
 
2.9%
두 1
 
2.9%
덕 1
 
2.9%
재 1
 
2.9%
Other values (12) 12
35.3%
Common
ValueCountFrequency (%)
4
26.7%
1 3
20.0%
0 2
13.3%
7 2
13.3%
4 1
 
6.7%
6 1
 
6.7%
3 1
 
6.7%
5 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34
69.4%
ASCII 15
30.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
빌 6
17.6%
딩 5
14.7%
삼 2
 
5.9%
호 2
 
5.9%
층 2
 
5.9%
연 1
 
2.9%
유 1
 
2.9%
두 1
 
2.9%
덕 1
 
2.9%
재 1
 
2.9%
Other values (12) 12
35.3%
ASCII
ValueCountFrequency (%)
4
26.7%
1 3
20.0%
0 2
13.3%
7 2
13.3%
4 1
 
6.7%
6 1
 
6.7%
3 1
 
6.7%
5 1
 
6.7%

실험실특수주소동
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

실험실특수주소호
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
20 
216
 
2
503
 
1
201
 
1

Length

Max length4
Median length4
Mean length3.8333333
Min length3

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
83.3%
216 2
 
8.3%
503 1
 
4.2%
201 1
 
4.2%

Length

2024-04-30T04:57:53.340000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:53.427132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
83.3%
216 2
 
8.3%
503 1
 
4.2%
201 1
 
4.2%

실험실도로명주소시군구코드
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
11680
19 
<NA>
5 

Length

Max length5
Median length5
Mean length4.7916667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11680
2nd row11680
3rd row11680
4th row11680
5th row11680

Common Values

ValueCountFrequency (%)
11680 19
79.2%
<NA> 5
 
20.8%

Length

2024-04-30T04:57:53.528120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:53.609664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11680 19
79.2%
na 5
 
20.8%

실험실도로명주소읍면동코드
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)36.8%
Missing5
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean1.1680105 × 109
Minimum1.1680101 × 109
Maximum1.1680118 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T04:57:53.674859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1680101 × 109
5-th percentile1.1680101 × 109
Q11.1680101 × 109
median1.1680101 × 109
Q31.1680107 × 109
95-th percentile1.1680118 × 109
Maximum1.1680118 × 109
Range1700
Interquartile range (IQR)600

Descriptive statistics

Standard deviation585.54718
Coefficient of variation (CV)5.0132014 × 10-7
Kurtosis1.0878905
Mean1.1680105 × 109
Median Absolute Deviation (MAD)0
Skewness1.5018332
Sum2.2192199 × 1010
Variance342865.5
MonotonicityNot monotonic
2024-04-30T04:57:53.760893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1168010100 11
45.8%
1168011800 2
 
8.3%
1168010800 2
 
8.3%
1168010500 1
 
4.2%
1168011400 1
 
4.2%
1168010300 1
 
4.2%
1168010600 1
 
4.2%
(Missing) 5
20.8%
ValueCountFrequency (%)
1168010100 11
45.8%
1168010300 1
 
4.2%
1168010500 1
 
4.2%
1168010600 1
 
4.2%
1168010800 2
 
8.3%
1168011400 1
 
4.2%
1168011800 2
 
8.3%
ValueCountFrequency (%)
1168011800 2
 
8.3%
1168011400 1
 
4.2%
1168010800 2
 
8.3%
1168010600 1
 
4.2%
1168010500 1
 
4.2%
1168010300 1
 
4.2%
1168010100 11
45.8%

실험실도로명주소읍면동구분
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
19 
<NA>
5 

Length

Max length4
Median length1
Mean length1.625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 19
79.2%
<NA> 5
 
20.8%

Length

2024-04-30T04:57:53.875267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:53.964072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 19
79.2%
na 5
 
20.8%

실험실도로명주소코드
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)63.2%
Missing5
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean3481459.5
Minimum2000003
Maximum4166761
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T04:57:54.044784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000003
5-th percentile2000003
Q13005086
median4166158
Q34166631
95-th percentile4166655.7
Maximum4166761
Range2166758
Interquartile range (IQR)1161545

Descriptive statistics

Standard deviation818360.85
Coefficient of variation (CV)0.23506258
Kurtosis-0.86324975
Mean3481459.5
Median Absolute Deviation (MAD)603
Skewness-0.72238985
Sum66147730
Variance6.6971448 × 1011
MonotonicityNot monotonic
2024-04-30T04:57:54.132759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4166644 4
16.7%
3005086 3
12.5%
2000003 2
 
8.3%
3122004 2
 
8.3%
4166557 1
 
4.2%
4166192 1
 
4.2%
4166158 1
 
4.2%
4166618 1
 
4.2%
4166761 1
 
4.2%
2102001 1
 
4.2%
Other values (2) 2
 
8.3%
(Missing) 5
20.8%
ValueCountFrequency (%)
2000003 2
8.3%
2102001 1
 
4.2%
3005086 3
12.5%
3121022 1
 
4.2%
3122004 2
8.3%
4166158 1
 
4.2%
4166192 1
 
4.2%
4166557 1
 
4.2%
4166573 1
 
4.2%
4166618 1
 
4.2%
ValueCountFrequency (%)
4166761 1
 
4.2%
4166644 4
16.7%
4166618 1
 
4.2%
4166573 1
 
4.2%
4166557 1
 
4.2%
4166192 1
 
4.2%
4166158 1
 
4.2%
3122004 2
8.3%
3121022 1
 
4.2%
3005086 3
12.5%

실험실도로명특수주소
Text

MISSING 

Distinct16
Distinct (%)84.2%
Missing5
Missing (%)20.8%
Memory size324.0 B
2024-04-30T04:57:54.271053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length10.789474
Min length5

Characters and Unicode

Total characters205
Distinct characters48
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)68.4%

Sample

1st row (도곡동,두산아트스퀘어)
2nd row (삼성동)
3rd row (논현동,751빌딩 701호)
4th row (일원동,601호)
5th row(도곡동,삼원빌딩 3층)
ValueCountFrequency (%)
역삼동 11
32.4%
216호 2
 
5.9%
201호 2
 
5.9%
대치동 1
 
2.9%
송촌빌딩 1
 
2.9%
507호 1
 
2.9%
5층 1
 
2.9%
논현동 1
 
2.9%
503호 1
 
2.9%
유니온센타 1
 
2.9%
Other values (12) 12
35.3%
2024-04-30T04:57:54.529081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
10.2%
( 19
 
9.3%
동 19
 
9.3%
) 19
 
9.3%
삼 13
 
6.3%
역 11
 
5.4%
1 10
 
4.9%
호 9
 
4.4%
, 8
 
3.9%
0 8
 
3.9%
Other values (38) 68
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 100
48.8%
Decimal Number 38
 
18.5%
Space Separator 21
 
10.2%
Open Punctuation 19
 
9.3%
Close Punctuation 19
 
9.3%
Other Punctuation 8
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 19
19.0%
삼 13
13.0%
역 11
 
11.0%
호 9
 
9.0%
딩 5
 
5.0%
빌 5
 
5.0%
층 4
 
4.0%
논 2
 
2.0%
원 2
 
2.0%
도 2
 
2.0%
Other values (25) 28
28.0%
Decimal Number
ValueCountFrequency (%)
1 10
26.3%
0 8
21.1%
2 5
13.2%
5 4
 
10.5%
7 3
 
7.9%
3 3
 
7.9%
6 3
 
7.9%
8 1
 
2.6%
4 1
 
2.6%
Space Separator
ValueCountFrequency (%)
21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 105
51.2%
Hangul 100
48.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 19
19.0%
삼 13
13.0%
역 11
 
11.0%
호 9
 
9.0%
딩 5
 
5.0%
빌 5
 
5.0%
층 4
 
4.0%
논 2
 
2.0%
원 2
 
2.0%
도 2
 
2.0%
Other values (25) 28
28.0%
Common
ValueCountFrequency (%)
21
20.0%
( 19
18.1%
) 19
18.1%
1 10
9.5%
, 8
 
7.6%
0 8
 
7.6%
2 5
 
4.8%
5 4
 
3.8%
7 3
 
2.9%
3 3
 
2.9%
Other values (3) 5
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 105
51.2%
Hangul 100
48.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21
20.0%
( 19
18.1%
) 19
18.1%
1 10
9.5%
, 8
 
7.6%
0 8
 
7.6%
2 5
 
4.8%
5 4
 
3.8%
7 3
 
2.9%
3 3
 
2.9%
Other values (3) 5
 
4.8%
Hangul
ValueCountFrequency (%)
동 19
19.0%
삼 13
13.0%
역 11
 
11.0%
호 9
 
9.0%
딩 5
 
5.0%
빌 5
 
5.0%
층 4
 
4.0%
논 2
 
2.0%
원 2
 
2.0%
도 2
 
2.0%
Other values (25) 28
28.0%

실험실도로명주소건물층구분
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
19 
<NA>
5 

Length

Max length4
Median length1
Mean length1.625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 19
79.2%
<NA> 5
 
20.8%

Length

2024-04-30T04:57:54.640415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:54.722473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
79.2%
na 5
 
20.8%

실험실도로명주소건물본번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)78.9%
Missing5
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean445.84211
Minimum6
Maximum2749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T04:57:54.805361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7.8
Q116
median29
Q3464.5
95-th percentile2724.7
Maximum2749
Range2743
Interquartile range (IQR)448.5

Descriptive statistics

Standard deviation832.46583
Coefficient of variation (CV)1.8671763
Kurtosis5.369127
Mean445.84211
Median Absolute Deviation (MAD)23
Skewness2.4947852
Sum8471
Variance692999.36
MonotonicityNot monotonic
2024-04-30T04:57:54.898737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
16 4
16.7%
427 2
 
8.3%
2749 1
 
4.2%
502 1
 
4.2%
129 1
 
4.2%
29 1
 
4.2%
2722 1
 
4.2%
6 1
 
4.2%
11 1
 
4.2%
23 1
 
4.2%
Other values (5) 5
20.8%
(Missing) 5
20.8%
ValueCountFrequency (%)
6 1
 
4.2%
8 1
 
4.2%
11 1
 
4.2%
14 1
 
4.2%
16 4
16.7%
23 1
 
4.2%
29 1
 
4.2%
129 1
 
4.2%
310 1
 
4.2%
427 2
8.3%
ValueCountFrequency (%)
2749 1
4.2%
2722 1
4.2%
547 1
4.2%
503 1
4.2%
502 1
4.2%
427 2
8.3%
310 1
4.2%
129 1
4.2%
29 1
4.2%
23 1
4.2%

실험실도로명주소건물부번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
21 
1
 
1
0
 
1
12
 
1

Length

Max length4
Median length4
Mean length3.6666667
Min length1

Unique

Unique3 ?
Unique (%)12.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
87.5%
1 1
 
4.2%
0 1
 
4.2%
12 1
 
4.2%

Length

2024-04-30T04:57:55.011373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:55.102915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
87.5%
1 1
 
4.2%
0 1
 
4.2%
12 1
 
4.2%

실험실도로명주소우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
21 
6248
 
1
6138
 
1
6225
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique3 ?
Unique (%)12.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
87.5%
6248 1
 
4.2%
6138 1
 
4.2%
6225 1
 
4.2%

Length

2024-04-30T04:57:55.189772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:55.263286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
87.5%
6248 1
 
4.2%
6138 1
 
4.2%
6225 1
 
4.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
0322000032200006620050001920050425<NA>1영업/정상BBBB영업<NA><NA><NA><NA>025013733<NA><NA>서울특별시 강남구 도곡동 174-3 두산아트스퀘어서울특별시 강남구 남부순환로 2749 (도곡동)135504두산건설(주)2012-01-19 17:35:12I2019-03-30 02:20:09.0<NA>204098.596031442807.317225<NA>측정대행업<NA><NA>116801180013550411743<NA><NA>두산아트스퀘어<NA><NA>11680116801180012000003(도곡동,두산아트스퀘어)02749<NA><NA>
1322000032200006620060000120061115<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-556-8669<NA><NA>서울특별시 강남구 삼성동 145서울특별시 강남구 봉은사로 502 (삼성동)<NA>유노빅스이엔씨(주)2013-01-31 14:51:46I2019-03-30 02:20:09.0<NA>204681.332376445621.1443870측정대행업<NA><NA>1168010500<NA>1145<NA><NA><NA><NA><NA><NA>11680116801050013122004(삼성동)0502<NA><NA>
2322000032200006620090001020090615<NA>1영업/정상BBBB영업<NA><NA><NA><NA>025188189<NA><NA>서울특별시 강남구 논현동 203 751빌딩 701호서울특별시 강남구 봉은사로 129-1 (논현동,751빌딩 701호)<NA>(주)한국건설환경2012-01-19 17:35:22I2019-03-30 02:20:09.0<NA>202422.404397444877.223579<NA>측정대행업<NA><NA>11680108001355451203<NA><NA><NA>751빌딩 701호<NA><NA>11680116801080013122004(논현동,751빌딩 701호)01291<NA>
3322000032200006620100000120100218<NA>1영업/정상BBBB영업<NA><NA><NA><NA>20573266<NA><NA>서울특별시 강남구 일원동 643-2서울특별시 강남구 양재대로55길 29 (일원동)<NA>(주)중앙종합안전기술연구원2010-02-19 08:42:49I2019-03-30 02:20:09.0<NA>207630.507223443393.389093118측정대행업<NA><NA>116801140013523116432<NA><NA>601호<NA><NA>11680116801140014166557(일원동,601호)029<NA><NA>
4322000032200006620100000220100517<NA>1영업/정상BBBB영업<NA><NA><NA><NA>20579450<NA><NA>서울특별시 강남구 도곡동 411-11서울특별시 강남구 남부순환로 2722 (도곡동)<NA>(주)친환경계획그룹 청연2020-04-28 09:14:09U2020-04-30 02:40:00.0<NA>203801.666099442594.725542<NA>측정대행업<NA><NA>1168011800135271141111<NA><NA>삼원빌딩 3층<NA><NA>11680116801180012000003(도곡동,삼원빌딩 3층)02722<NA><NA>
5322000032200006620100000320100517<NA>1영업/정상BBBB영업<NA><NA><NA><NA>2057-9450<NA><NA>서울특별시 강남구 역삼동 790-10 청연빌딩서울특별시 강남구 논현로71길 6, 청연빌딩 (역삼동)6248(주)친환경계획그룹 청연2022-03-25 09:43:21U2022-03-27 02:40:00.0<NA>203376.52443662.860측정대행업0<NA>1168010100<NA>179010<NA><NA>청연빌딩<NA><NA>11680116801010014166192청연빌딩 (역삼동)06<NA>6248
6322000032200006620110000120110427<NA>1영업/정상BBBB영업<NA><NA><NA><NA>576-6162<NA><NA>서울특별시 강남구 개포동 1230 유덕빌딩 4층서울특별시 강남구 논현로16길 11 (개포동,유덕빌딩 4층)<NA>에스엔엔지니어링(주)2011-04-27 19:02:09I2019-03-30 02:20:09.0<NA>204109.658484441599.66087<NA>측정대행업<NA><NA>116801030013596411230<NA><NA><NA>유덕빌딩 4층<NA><NA>11680116801030014166158(개포동,유덕빌딩 4층)011<NA><NA>
7322000032200006620120000120120808<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-558-0459<NA><NA>서울특별시 강남구 역삼동 729-20 201호서울특별시 강남구 역삼로33길 16 (역삼동,201호)<NA>(주)아이헤스2013-02-04 17:55:54I2019-03-30 02:20:09.0<NA>203611.969198444002.3097420측정대행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>11680116801010014166644201호 (역삼동)0160<NA>
8322000032200006620120000220120808<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-558-0459<NA><NA>서울특별시 강남구 역삼동 729-20 201호서울특별시 강남구 역삼로33길 16 (역삼동,201호)<NA>(주)아이헤스2012-08-09 12:40:42I2019-03-30 02:20:09.0<NA>203611.969198444002.309742<NA>측정대행업<NA><NA>1168010100<NA>172920<NA><NA><NA><NA><NA>11680116801010014166644(역삼동)016<NA><NA>
9322000032200006620120000320121105<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-539-9951<NA><NA>서울특별시 강남구 역삼동 723-17서울특별시 강남구 언주로85길 23-12 (역삼동)<NA>(주)비아엔지니어링2020-11-03 15:51:07U2020-11-05 02:40:00.0<NA>203600.700886444205.456963<NA>측정대행업<NA><NA>1168010100<NA>172317<NA><NA><NA><NA><NA>11680116801010014166618(역삼동)02312<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
14322000032200006620150000120151020<NA>1영업/정상BBBB영업<NA><NA><NA><NA>07048701100<NA><NA>서울특별시 강남구 역삼동 720-25 216호서울특별시 강남구 언주로 427, 216호 (역삼동, 디오빌역삼)6221지와이컨설팅2015-10-22 09:19:10I2019-03-30 02:20:09.0<NA>203705.022134444361.30601347측정대행업<NA><NA>1168010100<NA>172025<NA><NA><NA><NA>21611680116801010013005086216호 (역삼동)0427<NA><NA>
15322000032200006620150000220151027<NA>1영업/정상BBBB영업<NA><NA><NA><NA>07048701100<NA><NA>서울특별시 강남구 역삼동 720-25 216호서울특별시 강남구 언주로 427, 216호 (역삼동, 디오빌역삼)6221지와이컨설팅2015-10-27 09:05:08I2019-03-30 02:20:09.0<NA>203705.022134444361.30601347측정대행업<NA><NA>1168010100<NA>172025<NA><NA>디오빌 역삼<NA>21611680116801010013005086216호 (역삼동)0427<NA><NA>
16322000032200006620160000120160229<NA>1영업/정상BBBB영업<NA><NA><NA><NA>025525403<NA><NA>서울특별시 강남구 역삼동 642-9서울특별시 강남구 논현로 503, 5층 507호 (역삼동, 송촌빌딩)6132(주)한국건설시험원2016-03-02 10:06:15I2019-03-30 02:20:09.0<NA>203129.501106444340.670924<NA>측정대행업<NA><NA>1168010100<NA>16429<NA><NA><NA><NA><NA>116801168010100131210225층 507호 (역삼동, 송촌빌딩)0503<NA><NA>
17322000032200006620180000120180904<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 662-7서울특별시 강남구 언주로 547, 12,13층 (역삼동)6138삼환기업(주)2020-02-05 09:59:22U2020-02-07 02:40:00.0<NA>203468.913965444937.661022<NA>측정대행업<NA><NA>1168010100<NA>16627<NA><NA><NA><NA><NA>1168011680101001300508612,13층 (역삼동)0547<NA>6138
1832200003220000662018000022018-09-04<NA>5제외/삭제/전출5제외사항<NA><NA><NA><NA>027402426<NA><NA>서울특별시 강남구 역삼동 662-7서울특별시 강남구 언주로 547, 13층 (역삼동)6138삼환기업(주)2023-03-03 17:02:03U2022-12-03 00:05:00.0종합 건설업203468.913965444937.661022<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19322000032200006620190000120190403<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-558-0451<NA><NA>서울특별시 강남구 역삼동 729-20 2층서울특별시 강남구 역삼로33길 16 (역삼동,2층)<NA>(주)세이빈엔지니어링2021-12-16 08:57:39U2021-12-18 02:40:00.0<NA>203611.969198444002.3097420측정대행업0<NA>1168010100<NA>172920<NA><NA><NA><NA>20111680116801010014166644201호 (역삼동)016<NA>6225
20322000032200006620190000220191127<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-545-7811<NA><NA>서울특별시 강남구 논현동 209 삼환아르누보3 301~3호서울특별시 강남구 학동로 224, 삼환아르누보3 301,302,303호 (논현동)6104(주)아키사운드2022-12-05 11:07:43U2021-11-02 00:07:00.0<NA>202877.191344445803.422821<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2132200003220000662020000012020-04-22<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 683-26 선릉빌딩서울특별시 강남구 선릉로 555, 선릉빌딩 506호 (역삼동)6145(주)한국건물성능평가2023-09-18 17:24:16U2022-12-08 22:00:00.0건축설계 및 관련 서비스업203897.748231445092.577109<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2232200003220000662021000012021-12-28<NA>1영업/정상BBBB영업<NA><NA><NA><NA>34130782<NA><NA>서울특별시 강남구 수서동 724 로즈데일오피스텔 1831,호서울특별시 강남구 광평로 280, 로즈데일오피스텔 1831,1832,1837호 (수서동)6367기술사사무소사차원엔지니어링(주)2024-03-25 17:17:04U2023-12-02 22:07:00.0<NA>209052.072465442797.138151<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23322000032200006620220000120220328<NA>1영업/정상BBBB영업<NA><NA><NA><NA>2057-9450<NA><NA>서울특별시 강남구 역삼동 790-10 청연빌딩서울특별시 강남구 논현로71길 6, 청연빌딩 (역삼동)6248(주)친환경계획그룹 청연2022-10-19 17:38:31U2021-10-30 22:01:00.0<NA>203376.52443662.86<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>