Overview

Dataset statistics

Number of variables48
Number of observations31
Missing cells466
Missing cells (%)31.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.7 KiB
Average record size in memory418.3 B

Variable types

Categorical21
Numeric5
DateTime3
Unsupported9
Text10

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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-19544/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
실험실특수주소동 has constant value ""Constant
폐업일자 is highly imbalanced (65.0%)Imbalance
소재지우편번호 is highly imbalanced (79.4%)Imbalance
실험실면적 is highly imbalanced (65.0%)Imbalance
영업소면적 is highly imbalanced (65.5%)Imbalance
실험실우편번호 is highly imbalanced (58.4%)Imbalance
실험실호 is highly imbalanced (53.5%)Imbalance
실험실도로명주소우편번호 is highly imbalanced (79.4%)Imbalance
인허가취소일자 has 31 (100.0%) missing valuesMissing
휴업시작일자 has 31 (100.0%) missing valuesMissing
휴업종료일자 has 31 (100.0%) missing valuesMissing
재개업일자 has 31 (100.0%) missing valuesMissing
전화번호 has 4 (12.9%) missing valuesMissing
소재지면적 has 31 (100.0%) missing valuesMissing
도로명우편번호 has 2 (6.5%) missing valuesMissing
업태구분명 has 29 (93.5%) missing valuesMissing
위탁업체명 has 31 (100.0%) missing valuesMissing
실험실번지 has 23 (74.2%) missing valuesMissing
실험실통 has 31 (100.0%) missing valuesMissing
실험실반 has 31 (100.0%) missing valuesMissing
실험실특수주소 has 26 (83.9%) missing valuesMissing
실험실특수주소동 has 30 (96.8%) missing valuesMissing
실험실특수주소호 has 27 (87.1%) missing valuesMissing
실험실도로명특수주소 has 23 (74.2%) missing valuesMissing
실험실도로명주소건물본번호 has 23 (74.2%) missing valuesMissing
실험실도로명주소건물부번호 has 31 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
실험실도로명주소건물부번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 13:38:31.147059
Analysis finished2024-04-06 13:38:31.738652
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
3170000
31 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 31
100.0%

Length

2024-04-06T22:38:31.801182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:31.885269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 31
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1700007 × 1017
Minimum3.1700007 × 1017
Maximum3.1700007 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-06T22:38:31.972528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1700007 × 1017
5-th percentile3.1700007 × 1017
Q13.1700007 × 1017
median3.1700007 × 1017
Q33.1700007 × 1017
95-th percentile3.1700007 × 1017
Maximum3.1700007 × 1017
Range2499999
Interquartile range (IQR)800000

Descriptive statistics

Standard deviation657123.4
Coefficient of variation (CV)2.072944 × 10-12
Kurtosis0.29072982
Mean3.1700007 × 1017
Median Absolute Deviation (MAD)400000
Skewness-0.99345739
Sum-8.619742 × 1018
Variance4.3181116 × 1011
MonotonicityStrictly increasing
2024-04-06T22:38:32.099809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
317000066199900002 1
 
3.2%
317000066200400002 1
 
3.2%
317000066202400001 1
 
3.2%
317000066202300004 1
 
3.2%
317000066202300003 1
 
3.2%
317000066202300002 1
 
3.2%
317000066202300001 1
 
3.2%
317000066202200004 1
 
3.2%
317000066202200003 1
 
3.2%
317000066202200002 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
317000066199900002 1
3.2%
317000066200400002 1
3.2%
317000066200400003 1
3.2%
317000066200600004 1
3.2%
317000066201000001 1
3.2%
317000066201000002 1
3.2%
317000066201000003 1
3.2%
317000066201300001 1
3.2%
317000066201400001 1
3.2%
317000066201400002 1
3.2%
ValueCountFrequency (%)
317000066202400001 1
3.2%
317000066202300004 1
3.2%
317000066202300003 1
3.2%
317000066202300002 1
3.2%
317000066202300001 1
3.2%
317000066202200004 1
3.2%
317000066202200003 1
3.2%
317000066202200002 1
3.2%
317000066202100002 1
3.2%
317000066202100001 1
3.2%

인허가일자
Date

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum1999-08-09 00:00:00
Maximum2024-03-07 00:00:00
2024-04-06T22:38:32.208525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:38:32.366389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
1
21 
3
6 
5
3 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row1
2nd row4
3rd row3
4th row3
5th row1

Common Values

ValueCountFrequency (%)
1 21
67.7%
3 6
 
19.4%
5 3
 
9.7%
4 1
 
3.2%

Length

2024-04-06T22:38:32.513091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:32.639728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
67.7%
3 6
 
19.4%
5 3
 
9.7%
4 1
 
3.2%

영업상태명
Categorical

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
영업/정상
21 
폐업
6 
제외/삭제/전출
3 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length5
Min length2

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 21
67.7%
폐업 6
 
19.4%
제외/삭제/전출 3
 
9.7%
취소/말소/만료/정지/중지 1
 
3.2%

Length

2024-04-06T22:38:32.761017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:33.117474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 21
67.7%
폐업 6
 
19.4%
제외/삭제/전출 3
 
9.7%
취소/말소/만료/정지/중지 1
 
3.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
BBBB
21 
2
6 
5
3 
4
 
1

Length

Max length4
Median length4
Mean length3.0322581
Min length1

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st rowBBBB
2nd row4
3rd row2
4th row2
5th rowBBBB

Common Values

ValueCountFrequency (%)
BBBB 21
67.7%
2 6
 
19.4%
5 3
 
9.7%
4 1
 
3.2%

Length

2024-04-06T22:38:33.217779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:33.316568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 21
67.7%
2 6
 
19.4%
5 3
 
9.7%
4 1
 
3.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
영업
21 
폐업
6 
제외사항
3 
폐쇄
 
1

Length

Max length4
Median length2
Mean length2.1935484
Min length2

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업 21
67.7%
폐업 6
 
19.4%
제외사항 3
 
9.7%
폐쇄 1
 
3.2%

Length

2024-04-06T22:38:33.429330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:33.529124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 21
67.7%
폐업 6
 
19.4%
제외사항 3
 
9.7%
폐쇄 1
 
3.2%

폐업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
20140814
 
1
20120229
 
1
20160822
 
1
20211012
 
1

Length

Max length8
Median length4
Mean length4.516129
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

1st row<NA>
2nd row<NA>
3rd row20140814
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
20140814 1
 
3.2%
20120229 1
 
3.2%
20160822 1
 
3.2%
20211012 1
 
3.2%

Length

2024-04-06T22:38:33.644746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:33.748558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
20140814 1
 
3.2%
20120229 1
 
3.2%
20160822 1
 
3.2%
20211012 1
 
3.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

전화번호
Text

MISSING 

Distinct23
Distinct (%)85.2%
Missing4
Missing (%)12.9%
Memory size380.0 B
2024-04-06T22:38:33.907999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.333333
Min length8

Characters and Unicode

Total characters279
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)70.4%

Sample

1st row028944214
2nd row0221022500
3rd row0220264648
4th row025216106
5th row0220261250
ValueCountFrequency (%)
02-849-5740 2
 
7.4%
02-867-5999 2
 
7.4%
025405960 2
 
7.4%
02-863-9694 2
 
7.4%
070-4327-7669 1
 
3.7%
028944214 1
 
3.7%
02-830-7111 1
 
3.7%
02-6204-4728 1
 
3.7%
02-863-9693 1
 
3.7%
02-2138-7919 1
 
3.7%
Other values (13) 13
48.1%
2024-04-06T22:38:34.186249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 49
17.6%
0 43
15.4%
- 32
11.5%
6 30
10.8%
9 27
9.7%
4 21
7.5%
8 20
7.2%
5 19
 
6.8%
7 17
 
6.1%
1 12
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 247
88.5%
Dash Punctuation 32
 
11.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 49
19.8%
0 43
17.4%
6 30
12.1%
9 27
10.9%
4 21
8.5%
8 20
8.1%
5 19
 
7.7%
7 17
 
6.9%
1 12
 
4.9%
3 9
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 279
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 49
17.6%
0 43
15.4%
- 32
11.5%
6 30
10.8%
9 27
9.7%
4 21
7.5%
8 20
7.2%
5 19
 
6.8%
7 17
 
6.1%
1 12
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 279
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 49
17.6%
0 43
15.4%
- 32
11.5%
6 30
10.8%
9 27
9.7%
4 21
7.5%
8 20
7.2%
5 19
 
6.8%
7 17
 
6.1%
1 12
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
153787
 
1

Length

Max length6
Median length4
Mean length4.0645161
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
153787 1
 
3.2%

Length

2024-04-06T22:38:34.313961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:34.410968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
153787 1
 
3.2%

지번주소
Text

Distinct24
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-06T22:38:34.588665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length27
Min length17

Characters and Unicode

Total characters837
Distinct characters91
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)64.5%

Sample

1st row서울특별시 금천구 독산동 291-1 현대지식산업센터 제에이동 1101호
2nd row서울특별시 금천구 가산동 459-28
3rd row서울특별시 금천구 가산동 371-28 우림라이온스밸리 B동 706-2호
4th row서울특별시 금천구 가산동 319 호서대벤처타워 1003호
5th row서울특별시 금천구 가산동 345-30 남성플라자빌딩 10층
ValueCountFrequency (%)
서울특별시 31
19.5%
금천구 31
19.5%
가산동 29
18.2%
673 4
 
2.5%
319 4
 
2.5%
호서대벤처타워 4
 
2.5%
독산동 2
 
1.3%
554-2 2
 
1.3%
371-50 2
 
1.3%
에이스하이엔드타워3차 2
 
1.3%
Other values (46) 48
30.2%
2024-04-06T22:38:34.918884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
 
15.8%
서 35
 
4.2%
동 34
 
4.1%
1 33
 
3.9%
산 33
 
3.9%
시 32
 
3.8%
구 32
 
3.8%
특 31
 
3.7%
별 31
 
3.7%
금 31
 
3.7%
Other values (81) 413
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 510
60.9%
Decimal Number 172
 
20.5%
Space Separator 132
 
15.8%
Dash Punctuation 21
 
2.5%
Uppercase Letter 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 35
 
6.9%
동 34
 
6.7%
산 33
 
6.5%
시 32
 
6.3%
구 32
 
6.3%
특 31
 
6.1%
별 31
 
6.1%
금 31
 
6.1%
천 31
 
6.1%
울 31
 
6.1%
Other values (67) 189
37.1%
Decimal Number
ValueCountFrequency (%)
1 33
19.2%
5 22
12.8%
0 21
12.2%
3 19
11.0%
2 18
10.5%
9 16
9.3%
4 15
8.7%
6 11
 
6.4%
7 9
 
5.2%
8 8
 
4.7%
Space Separator
ValueCountFrequency (%)
132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 510
60.9%
Common 326
38.9%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 35
 
6.9%
동 34
 
6.7%
산 33
 
6.5%
시 32
 
6.3%
구 32
 
6.3%
특 31
 
6.1%
별 31
 
6.1%
금 31
 
6.1%
천 31
 
6.1%
울 31
 
6.1%
Other values (67) 189
37.1%
Common
ValueCountFrequency (%)
132
40.5%
1 33
 
10.1%
5 22
 
6.7%
0 21
 
6.4%
- 21
 
6.4%
3 19
 
5.8%
2 18
 
5.5%
9 16
 
4.9%
4 15
 
4.6%
6 11
 
3.4%
Other values (3) 18
 
5.5%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 510
60.9%
ASCII 327
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
40.4%
1 33
 
10.1%
5 22
 
6.7%
0 21
 
6.4%
- 21
 
6.4%
3 19
 
5.8%
2 18
 
5.5%
9 16
 
4.9%
4 15
 
4.6%
6 11
 
3.4%
Other values (4) 19
 
5.8%
Hangul
ValueCountFrequency (%)
서 35
 
6.9%
동 34
 
6.7%
산 33
 
6.5%
시 32
 
6.3%
구 32
 
6.3%
특 31
 
6.1%
별 31
 
6.1%
금 31
 
6.1%
천 31
 
6.1%
울 31
 
6.1%
Other values (67) 189
37.1%

도로명주소
Text

Distinct29
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-06T22:38:35.179341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length45
Mean length40.129032
Min length27

Characters and Unicode

Total characters1244
Distinct characters115
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)87.1%

Sample

1st row서울특별시 금천구 두산로 70, 제에이동동 11층 1101호 (독산동, 현대지식산업센터)
2nd row서울특별시 금천구 가산디지털1로 199 (가산동)
3rd row서울특별시 금천구 가산디지털1로 168, B동 706-2호 (가산동, 우림라이온스밸리)
4th row서울특별시 금천구 가산디지털1로 70, 1003호 (가산동, 호서대벤처타워)
5th row서울특별시 금천구 디지털로 130, 10층 (가산동, 남성플라자빌딩)
ValueCountFrequency (%)
서울특별시 31
 
14.3%
금천구 31
 
14.3%
가산동 29
 
13.4%
가산디지털1로 17
 
7.8%
가산디지털2로 6
 
2.8%
70 5
 
2.3%
호서대벤처타워 4
 
1.8%
16 4
 
1.8%
43-14 2
 
0.9%
199 2
 
0.9%
Other values (78) 86
39.6%
2024-04-06T22:38:35.559094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
186
 
15.0%
1 72
 
5.8%
산 58
 
4.7%
가 53
 
4.3%
0 40
 
3.2%
, 39
 
3.1%
동 36
 
2.9%
서 36
 
2.9%
시 33
 
2.7%
구 32
 
2.6%
Other values (105) 659
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 711
57.2%
Decimal Number 228
 
18.3%
Space Separator 186
 
15.0%
Other Punctuation 39
 
3.1%
Close Punctuation 31
 
2.5%
Open Punctuation 31
 
2.5%
Uppercase Letter 7
 
0.6%
Lowercase Letter 5
 
0.4%
Dash Punctuation 4
 
0.3%
Math Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 58
 
8.2%
가 53
 
7.5%
동 36
 
5.1%
서 36
 
5.1%
시 33
 
4.6%
구 32
 
4.5%
울 31
 
4.4%
금 31
 
4.4%
특 31
 
4.4%
별 31
 
4.4%
Other values (78) 339
47.7%
Decimal Number
ValueCountFrequency (%)
1 72
31.6%
0 40
17.5%
2 24
 
10.5%
6 15
 
6.6%
5 15
 
6.6%
9 14
 
6.1%
3 13
 
5.7%
8 13
 
5.7%
4 12
 
5.3%
7 10
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
A 2
28.6%
P 1
14.3%
V 1
14.3%
K 1
14.3%
S 1
14.3%
B 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
t 1
20.0%
o 1
20.0%
r 1
20.0%
w 1
20.0%
e 1
20.0%
Space Separator
ValueCountFrequency (%)
186
100.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 711
57.2%
Common 521
41.9%
Latin 12
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 58
 
8.2%
가 53
 
7.5%
동 36
 
5.1%
서 36
 
5.1%
시 33
 
4.6%
구 32
 
4.5%
울 31
 
4.4%
금 31
 
4.4%
특 31
 
4.4%
별 31
 
4.4%
Other values (78) 339
47.7%
Common
ValueCountFrequency (%)
186
35.7%
1 72
 
13.8%
0 40
 
7.7%
, 39
 
7.5%
) 31
 
6.0%
( 31
 
6.0%
2 24
 
4.6%
6 15
 
2.9%
5 15
 
2.9%
9 14
 
2.7%
Other values (6) 54
 
10.4%
Latin
ValueCountFrequency (%)
A 2
16.7%
t 1
8.3%
P 1
8.3%
V 1
8.3%
o 1
8.3%
K 1
8.3%
r 1
8.3%
w 1
8.3%
e 1
8.3%
S 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 711
57.2%
ASCII 533
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
186
34.9%
1 72
 
13.5%
0 40
 
7.5%
, 39
 
7.3%
) 31
 
5.8%
( 31
 
5.8%
2 24
 
4.5%
6 15
 
2.8%
5 15
 
2.8%
9 14
 
2.6%
Other values (17) 66
 
12.4%
Hangul
ValueCountFrequency (%)
산 58
 
8.2%
가 53
 
7.5%
동 36
 
5.1%
서 36
 
5.1%
시 33
 
4.6%
구 32
 
4.5%
울 31
 
4.4%
금 31
 
4.4%
특 31
 
4.4%
별 31
 
4.4%
Other values (78) 339
47.7%

도로명우편번호
Text

MISSING 

Distinct19
Distinct (%)65.5%
Missing2
Missing (%)6.5%
Memory size380.0 B
2024-04-06T22:38:35.708995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2758621
Min length5

Characters and Unicode

Total characters153
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)44.8%

Sample

1st row08584
2nd row153786
3rd row153711
4th row153-782
5th row153787
ValueCountFrequency (%)
08591 5
17.2%
08590 3
 
10.3%
08503 2
 
6.9%
08504 2
 
6.9%
08588 2
 
6.9%
153787 2
 
6.9%
08506 1
 
3.4%
08505 1
 
3.4%
08524 1
 
3.4%
08594 1
 
3.4%
Other values (9) 9
31.0%
2024-04-06T22:38:35.990590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 34
22.2%
8 32
20.9%
5 30
19.6%
1 16
10.5%
9 10
 
6.5%
3 10
 
6.5%
7 10
 
6.5%
4 6
 
3.9%
6 2
 
1.3%
2 2
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 152
99.3%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 34
22.4%
8 32
21.1%
5 30
19.7%
1 16
10.5%
9 10
 
6.6%
3 10
 
6.6%
7 10
 
6.6%
4 6
 
3.9%
6 2
 
1.3%
2 2
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 153
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 34
22.2%
8 32
20.9%
5 30
19.6%
1 16
10.5%
9 10
 
6.5%
3 10
 
6.5%
7 10
 
6.5%
4 6
 
3.9%
6 2
 
1.3%
2 2
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 153
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 34
22.2%
8 32
20.9%
5 30
19.6%
1 16
10.5%
9 10
 
6.5%
3 10
 
6.5%
7 10
 
6.5%
4 6
 
3.9%
6 2
 
1.3%
2 2
 
1.3%

사업장명
Text

Distinct25
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-06T22:38:36.180913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length9.5483871
Min length5

Characters and Unicode

Total characters296
Distinct characters92
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

Unique20 ?
Unique (%)64.5%

Sample

1st row선일기술산업(주)
2nd row(재)한국건설생활환경시험연구원
3rd row메리츠테크놀로지(주)
4th row(주)가림기술단
5th row(주)산업공해연구소
ValueCountFrequency (%)
주)가림환경연구소 3
 
8.8%
주)로터스이앤티 2
 
5.9%
재)한국건설생활환경시험연구원 2
 
5.9%
주)한경이테크 2
 
5.9%
동일시마즈(주 2
 
5.9%
주)이엠에이연구소 1
 
2.9%
선일기술산업(주 1
 
2.9%
주)에코프런티어 1
 
2.9%
엔텍엔지니어링 1
 
2.9%
더비씨환경 1
 
2.9%
Other values (18) 18
52.9%
2024-04-06T22:38:36.513452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 26
 
8.8%
) 26
 
8.8%
주 24
 
8.1%
경 12
 
4.1%
환 10
 
3.4%
연 9
 
3.0%
구 9
 
3.0%
이 8
 
2.7%
소 7
 
2.4%
에 7
 
2.4%
Other values (82) 158
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 241
81.4%
Open Punctuation 26
 
8.8%
Close Punctuation 26
 
8.8%
Space Separator 3
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 24
 
10.0%
경 12
 
5.0%
환 10
 
4.1%
연 9
 
3.7%
구 9
 
3.7%
이 8
 
3.3%
소 7
 
2.9%
에 7
 
2.9%
엔 5
 
2.1%
한 5
 
2.1%
Other values (79) 145
60.2%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 241
81.4%
Common 55
 
18.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 24
 
10.0%
경 12
 
5.0%
환 10
 
4.1%
연 9
 
3.7%
구 9
 
3.7%
이 8
 
3.3%
소 7
 
2.9%
에 7
 
2.9%
엔 5
 
2.1%
한 5
 
2.1%
Other values (79) 145
60.2%
Common
ValueCountFrequency (%)
( 26
47.3%
) 26
47.3%
3
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 241
81.4%
ASCII 55
 
18.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 26
47.3%
) 26
47.3%
3
 
5.5%
Hangul
ValueCountFrequency (%)
주 24
 
10.0%
경 12
 
5.0%
환 10
 
4.1%
연 9
 
3.7%
구 9
 
3.7%
이 8
 
3.3%
소 7
 
2.9%
에 7
 
2.9%
엔 5
 
2.1%
한 5
 
2.1%
Other values (79) 145
60.2%

최종수정일자
Date

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2012-02-29 17:52:54
Maximum2024-04-04 11:35:43
2024-04-06T22:38:36.626782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:38:36.736459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
U
24 
I
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 24
77.4%
I 7
 
22.6%

Length

2024-04-06T22:38:36.849595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:36.933339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 24
77.4%
i 7
 
22.6%

데이터갱신일자
Date

Distinct22
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2019-03-30 02:20:09
Maximum2023-12-04 00:06:00
2024-04-06T22:38:37.018724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:38:37.120273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

업태구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing29
Missing (%)93.5%
Memory size380.0 B
2024-04-06T22:38:37.248091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length14
Min length12

Characters and Unicode

Total characters28
Distinct characters19
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 row환경 관련 엔지니어링 서비스업
2nd row기타 과학기술 서비스업
ValueCountFrequency (%)
서비스업 2
28.6%
환경 1
14.3%
관련 1
14.3%
엔지니어링 1
14.3%
기타 1
14.3%
과학기술 1
14.3%
2024-04-06T22:38:37.500043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
17.9%
서 2
 
7.1%
기 2
 
7.1%
업 2
 
7.1%
스 2
 
7.1%
비 2
 
7.1%
환 1
 
3.6%
학 1
 
3.6%
과 1
 
3.6%
타 1
 
3.6%
Other values (9) 9
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23
82.1%
Space Separator 5
 
17.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 2
 
8.7%
기 2
 
8.7%
업 2
 
8.7%
스 2
 
8.7%
비 2
 
8.7%
환 1
 
4.3%
학 1
 
4.3%
과 1
 
4.3%
타 1
 
4.3%
링 1
 
4.3%
Other values (8) 8
34.8%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23
82.1%
Common 5
 
17.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 2
 
8.7%
기 2
 
8.7%
업 2
 
8.7%
스 2
 
8.7%
비 2
 
8.7%
환 1
 
4.3%
학 1
 
4.3%
과 1
 
4.3%
타 1
 
4.3%
링 1
 
4.3%
Other values (8) 8
34.8%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23
82.1%
ASCII 5
 
17.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5
100.0%
Hangul
ValueCountFrequency (%)
서 2
 
8.7%
기 2
 
8.7%
업 2
 
8.7%
스 2
 
8.7%
비 2
 
8.7%
환 1
 
4.3%
학 1
 
4.3%
과 1
 
4.3%
타 1
 
4.3%
링 1
 
4.3%
Other values (8) 8
34.8%

좌표정보(X)
Real number (ℝ)

Distinct21
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189677
Minimum189055.14
Maximum190694.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-06T22:38:37.644531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189055.14
5-th percentile189091.33
Q1189350.93
median189700.03
Q3189954.28
95-th percentile190365.89
Maximum190694.88
Range1639.742
Interquartile range (IQR)603.34704

Descriptive statistics

Standard deviation426.26122
Coefficient of variation (CV)0.0022473005
Kurtosis0.16000732
Mean189677
Median Absolute Deviation (MAD)321.92998
Skewness0.54106825
Sum5879987
Variance181698.63
MonotonicityNot monotonic
2024-04-06T22:38:37.772880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
189841.076534283 4
 
12.9%
190021.956927088 4
 
12.9%
189467.124186925 2
 
6.5%
189127.981104583 2
 
6.5%
189450.60600488 2
 
6.5%
189337.768770104 2
 
6.5%
190694.880295092 1
 
3.2%
189920.528610917 1
 
3.2%
189930.50790426 1
 
3.2%
189092.729912585 1
 
3.2%
Other values (11) 11
35.5%
ValueCountFrequency (%)
189055.138252216 1
3.2%
189089.927764903 1
3.2%
189092.729912585 1
3.2%
189127.981104583 2
6.5%
189282.642165078 1
3.2%
189337.768770104 2
6.5%
189364.095969911 1
3.2%
189450.60600488 2
6.5%
189467.124186925 2
6.5%
189472.091898625 1
3.2%
ValueCountFrequency (%)
190694.880295092 1
 
3.2%
190680.876167178 1
 
3.2%
190050.903572929 1
 
3.2%
190021.956927088 4
12.9%
189978.050925581 1
 
3.2%
189930.50790426 1
 
3.2%
189920.528610917 1
 
3.2%
189917.493331104 1
 
3.2%
189841.076534283 4
12.9%
189700.026948955 1
 
3.2%

좌표정보(Y)
Real number (ℝ)

Distinct21
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean441420.28
Minimum440363.95
Maximum442569.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-06T22:38:37.908489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440363.95
5-th percentile440522.68
Q1440900.54
median441229.11
Q3441970.38
95-th percentile442460.51
Maximum442569.3
Range2205.3462
Interquartile range (IQR)1069.8365

Descriptive statistics

Standard deviation673.36378
Coefficient of variation (CV)0.0015254482
Kurtosis-1.2245841
Mean441420.28
Median Absolute Deviation (MAD)619.90146
Skewness0.13106392
Sum13684029
Variance453418.79
MonotonicityNot monotonic
2024-04-06T22:38:38.011887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
441127.322443807 4
 
12.9%
440609.209534256 4
 
12.9%
441780.0053985 2
 
6.5%
442460.505542105 2
 
6.5%
441142.645065053 2
 
6.5%
442285.301079635 2
 
6.5%
440764.426277932 1
 
3.2%
440521.85524888 1
 
3.2%
441616.460710064 1
 
3.2%
442262.659278232 1
 
3.2%
Other values (11) 11
35.5%
ValueCountFrequency (%)
440363.954453659 1
 
3.2%
440521.85524888 1
 
3.2%
440523.497478209 1
 
3.2%
440609.209534256 4
12.9%
440764.426277932 1
 
3.2%
441036.663114495 1
 
3.2%
441127.322443807 4
12.9%
441142.645065053 2
6.5%
441229.110998601 1
 
3.2%
441483.675018356 1
 
3.2%
ValueCountFrequency (%)
442569.300676147 1
3.2%
442460.505542105 2
6.5%
442285.301079635 2
6.5%
442262.659278232 1
3.2%
442031.656022304 1
3.2%
441982.427934953 1
3.2%
441958.334400683 1
3.2%
441780.0053985 2
6.5%
441746.981529543 1
3.2%
441654.484590816 1
3.2%

실험실면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
410
 
1
130
 
1
90132
 
1
0
 
1

Length

Max length5
Median length4
Mean length3.8709677
Min length1

Unique

Unique4 ?
Unique (%)12.9%

Sample

1st row<NA>
2nd row410
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
410 1
 
3.2%
130 1
 
3.2%
90132 1
 
3.2%
0 1
 
3.2%

Length

2024-04-06T22:38:38.127328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:38.230425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
410 1
 
3.2%
130 1
 
3.2%
90132 1
 
3.2%
0 1
 
3.2%

사업장구분명
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
23 
측정대행업
8 

Length

Max length5
Median length4
Mean length4.2580645
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
74.2%
측정대행업 8
 
25.8%

Length

2024-04-06T22:38:38.331239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:38.419284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
74.2%
측정대행업 8
 
25.8%

영업소면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
29 
0
 
2

Length

Max length4
Median length4
Mean length3.8064516
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> 29
93.5%
0 2
 
6.5%

Length

2024-04-06T22:38:38.519068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:38.611790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
93.5%
0 2
 
6.5%

위탁업체명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

실험실지역코드
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
23 
1154510100
7 
1154510200
 
1

Length

Max length10
Median length4
Mean length5.5483871
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row<NA>
2nd row1154510100
3rd row1154510100
4th row1154510100
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 23
74.2%
1154510100 7
 
22.6%
1154510200 1
 
3.2%

Length

2024-04-06T22:38:38.704281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:38.858279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
74.2%
1154510100 7
 
22.6%
1154510200 1
 
3.2%

실험실우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
153803
3 
153802
 
1

Length

Max length6
Median length4
Mean length4.2580645
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row<NA>
2nd row<NA>
3rd row153803
4th row153802
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
153803 3
 
9.7%
153802 1
 
3.2%

Length

2024-04-06T22:38:39.009473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:39.106238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
153803 3
 
9.7%
153802 1
 
3.2%

실험실산
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
23 
1
8 

Length

Max length4
Median length4
Mean length3.2258065
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
74.2%
1 8
 
25.8%

Length

2024-04-06T22:38:39.200890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:39.289338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
74.2%
1 8
 
25.8%

실험실번지
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)75.0%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean419
Minimum295
Maximum685
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-06T22:38:39.365294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum295
5-th percentile303.4
Q1358
median371
Q3464.5
95-th percentile613.6
Maximum685
Range390
Interquartile range (IQR)106.5

Descriptive statistics

Standard deviation124.49211
Coefficient of variation (CV)0.29711721
Kurtosis2.7738405
Mean419
Median Absolute Deviation (MAD)64
Skewness1.5682059
Sum3352
Variance15498.286
MonotonicityNot monotonic
2024-04-06T22:38:39.460314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
371 3
 
9.7%
459 1
 
3.2%
319 1
 
3.2%
481 1
 
3.2%
685 1
 
3.2%
295 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
295 1
 
3.2%
319 1
 
3.2%
371 3
9.7%
459 1
 
3.2%
481 1
 
3.2%
685 1
 
3.2%
ValueCountFrequency (%)
685 1
 
3.2%
481 1
 
3.2%
459 1
 
3.2%
371 3
9.7%
319 1
 
3.2%
295 1
 
3.2%

실험실호
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
25 
28
 
2
50
 
2
10
 
1
5
 
1

Length

Max length4
Median length4
Mean length3.5806452
Min length1

Unique

Unique2 ?
Unique (%)6.5%

Sample

1st row<NA>
2nd row28
3rd row28
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 25
80.6%
28 2
 
6.5%
50 2
 
6.5%
10 1
 
3.2%
5 1
 
3.2%

Length

2024-04-06T22:38:39.578466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:39.678174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
80.6%
28 2
 
6.5%
50 2
 
6.5%
10 1
 
3.2%
5 1
 
3.2%

실험실통
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

실험실반
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

실험실특수주소
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing26
Missing (%)83.9%
Memory size380.0 B
2024-04-06T22:38:39.805182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length8.4
Min length5

Characters and Unicode

Total characters42
Distinct characters26
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

Unique3 ?
Unique (%)60.0%

Sample

1st row우림라이온스밸리
2nd row호서대벤처타워
3rd row에이스하이엔드타워3차
4th row에이스하이엔드타워3차
5th row아안채빌딩
ValueCountFrequency (%)
에이스하이엔드타워3차 2
40.0%
우림라이온스밸리 1
20.0%
호서대벤처타워 1
20.0%
아안채빌딩 1
20.0%
2024-04-06T22:38:40.050842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 5
 
11.9%
타 3
 
7.1%
스 3
 
7.1%
워 3
 
7.1%
에 2
 
4.8%
차 2
 
4.8%
3 2
 
4.8%
드 2
 
4.8%
엔 2
 
4.8%
하 2
 
4.8%
Other values (16) 16
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40
95.2%
Decimal Number 2
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 5
 
12.5%
타 3
 
7.5%
스 3
 
7.5%
워 3
 
7.5%
에 2
 
5.0%
차 2
 
5.0%
드 2
 
5.0%
엔 2
 
5.0%
하 2
 
5.0%
대 1
 
2.5%
Other values (15) 15
37.5%
Decimal Number
ValueCountFrequency (%)
3 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40
95.2%
Common 2
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 5
 
12.5%
타 3
 
7.5%
스 3
 
7.5%
워 3
 
7.5%
에 2
 
5.0%
차 2
 
5.0%
드 2
 
5.0%
엔 2
 
5.0%
하 2
 
5.0%
대 1
 
2.5%
Other values (15) 15
37.5%
Common
ValueCountFrequency (%)
3 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40
95.2%
ASCII 2
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 5
 
12.5%
타 3
 
7.5%
스 3
 
7.5%
워 3
 
7.5%
에 2
 
5.0%
차 2
 
5.0%
드 2
 
5.0%
엔 2
 
5.0%
하 2
 
5.0%
대 1
 
2.5%
Other values (15) 15
37.5%
ASCII
ValueCountFrequency (%)
3 2
100.0%

실험실특수주소동
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing30
Missing (%)96.8%
Memory size380.0 B
2024-04-06T22:38:40.123112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowB
ValueCountFrequency (%)
b 1
100.0%
2024-04-06T22:38:40.289636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
B 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
B 1
100.0%

실험실특수주소호
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing27
Missing (%)87.1%
Memory size380.0 B
2024-04-06T22:38:40.398851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.25
Min length4

Characters and Unicode

Total characters17
Distinct characters8
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st row706-2
2nd row1003
3rd row1105
4th row1105
ValueCountFrequency (%)
1105 2
50.0%
706-2 1
25.0%
1003 1
25.0%
2024-04-06T22:38:40.622858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5
29.4%
0 5
29.4%
5 2
 
11.8%
7 1
 
5.9%
6 1
 
5.9%
- 1
 
5.9%
2 1
 
5.9%
3 1
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16
94.1%
Dash Punctuation 1
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5
31.2%
0 5
31.2%
5 2
 
12.5%
7 1
 
6.2%
6 1
 
6.2%
2 1
 
6.2%
3 1
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5
29.4%
0 5
29.4%
5 2
 
11.8%
7 1
 
5.9%
6 1
 
5.9%
- 1
 
5.9%
2 1
 
5.9%
3 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5
29.4%
0 5
29.4%
5 2
 
11.8%
7 1
 
5.9%
6 1
 
5.9%
- 1
 
5.9%
2 1
 
5.9%
3 1
 
5.9%

실험실도로명주소시군구코드
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
23 
11545
8 

Length

Max length5
Median length4
Mean length4.2580645
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row11545
3rd row11545
4th row11545
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 23
74.2%
11545 8
 
25.8%

Length

2024-04-06T22:38:40.743814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:40.827049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
74.2%
11545 8
 
25.8%

실험실도로명주소읍면동코드
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
23 
1154510100
7 
1154510200
 
1

Length

Max length10
Median length4
Mean length5.5483871
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row<NA>
2nd row1154510100
3rd row1154510100
4th row1154510100
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 23
74.2%
1154510100 7
 
22.6%
1154510200 1
 
3.2%

Length

2024-04-06T22:38:40.917887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:41.005715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
74.2%
1154510100 7
 
22.6%
1154510200 1
 
3.2%

실험실도로명주소읍면동구분
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
23 
1
8 

Length

Max length4
Median length4
Mean length3.2258065
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
74.2%
1 8
 
25.8%

Length

2024-04-06T22:38:41.102885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:41.499244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
74.2%
1 8
 
25.8%

실험실도로명주소코드
Categorical

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
23 
3117001
5 
3117002
 
1
3000027
 
1
4151259
 
1

Length

Max length7
Median length4
Mean length4.7741935
Min length4

Unique

Unique3 ?
Unique (%)9.7%

Sample

1st row<NA>
2nd row3117001
3rd row3117001
4th row3117001
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 23
74.2%
3117001 5
 
16.1%
3117002 1
 
3.2%
3000027 1
 
3.2%
4151259 1
 
3.2%

Length

2024-04-06T22:38:41.590128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:41.713202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
74.2%
3117001 5
 
16.1%
3117002 1
 
3.2%
3000027 1
 
3.2%
4151259 1
 
3.2%

실험실도로명특수주소
Text

MISSING 

Distinct7
Distinct (%)87.5%
Missing23
Missing (%)74.2%
Memory size380.0 B
2024-04-06T22:38:41.870723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22.5
Mean length16.75
Min length5

Characters and Unicode

Total characters134
Distinct characters47
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

Unique6 ?
Unique (%)75.0%

Sample

1st row(가산동)
2nd rowB동 706-2호 (가산동,우림라이온스밸리)
3rd row 1003호 (가산동,호서대벤처타워)
4th row 1105호 (가산동,에이스하이엔드타워3차)
5th row1105호 (가산동,에이스하이엔드타워3차)
ValueCountFrequency (%)
가산동 3
18.8%
1105호 2
12.5%
가산동,에이스하이엔드타워3차 2
12.5%
b동 1
 
6.2%
706-2호 1
 
6.2%
가산동,우림라이온스밸리 1
 
6.2%
1003호 1
 
6.2%
가산동,호서대벤처타워 1
 
6.2%
1417호 1
 
6.2%
벽산디지털밸리2차 1
 
6.2%
Other values (2) 2
12.5%
2024-04-06T22:38:42.137128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
7.5%
산 9
 
6.7%
동 9
 
6.7%
( 8
 
6.0%
) 8
 
6.0%
가 7
 
5.2%
1 7
 
5.2%
호 6
 
4.5%
이 5
 
3.7%
0 5
 
3.7%
Other values (37) 60
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78
58.2%
Decimal Number 23
 
17.2%
Space Separator 10
 
7.5%
Open Punctuation 8
 
6.0%
Close Punctuation 8
 
6.0%
Other Punctuation 5
 
3.7%
Uppercase Letter 1
 
0.7%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 9
 
11.5%
동 9
 
11.5%
가 7
 
9.0%
호 6
 
7.7%
이 5
 
6.4%
차 3
 
3.8%
워 3
 
3.8%
타 3
 
3.8%
스 3
 
3.8%
에 2
 
2.6%
Other values (23) 28
35.9%
Decimal Number
ValueCountFrequency (%)
1 7
30.4%
0 5
21.7%
3 3
13.0%
2 2
 
8.7%
5 2
 
8.7%
7 2
 
8.7%
4 1
 
4.3%
6 1
 
4.3%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78
58.2%
Common 55
41.0%
Latin 1
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 9
 
11.5%
동 9
 
11.5%
가 7
 
9.0%
호 6
 
7.7%
이 5
 
6.4%
차 3
 
3.8%
워 3
 
3.8%
타 3
 
3.8%
스 3
 
3.8%
에 2
 
2.6%
Other values (23) 28
35.9%
Common
ValueCountFrequency (%)
10
18.2%
( 8
14.5%
) 8
14.5%
1 7
12.7%
0 5
9.1%
, 5
9.1%
3 3
 
5.5%
2 2
 
3.6%
5 2
 
3.6%
7 2
 
3.6%
Other values (3) 3
 
5.5%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78
58.2%
ASCII 56
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
17.9%
( 8
14.3%
) 8
14.3%
1 7
12.5%
0 5
8.9%
, 5
8.9%
3 3
 
5.4%
2 2
 
3.6%
5 2
 
3.6%
7 2
 
3.6%
Other values (4) 4
 
7.1%
Hangul
ValueCountFrequency (%)
산 9
 
11.5%
동 9
 
11.5%
가 7
 
9.0%
호 6
 
7.7%
이 5
 
6.4%
차 3
 
3.8%
워 3
 
3.8%
타 3
 
3.8%
스 3
 
3.8%
에 2
 
2.6%
Other values (23) 28
35.9%

실험실도로명주소건물층구분
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
23 
0
8 

Length

Max length4
Median length4
Mean length3.2258065
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
74.2%
0 8
 
25.8%

Length

2024-04-06T22:38:42.257911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:42.365341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
74.2%
0 8
 
25.8%

실험실도로명주소건물본번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing23
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean261.5
Minimum51
Maximum1130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-06T22:38:42.450412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile57.65
Q1126.25
median156.5
Q3187.75
95-th percentile804.15
Maximum1130
Range1079
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation354.7784
Coefficient of variation (CV)1.3567052
Kurtosis7.4953307
Mean261.5
Median Absolute Deviation (MAD)35
Skewness2.7045927
Sum2092
Variance125867.71
MonotonicityNot monotonic
2024-04-06T22:38:42.548223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
145 2
 
6.5%
199 1
 
3.2%
168 1
 
3.2%
70 1
 
3.2%
184 1
 
3.2%
1130 1
 
3.2%
51 1
 
3.2%
(Missing) 23
74.2%
ValueCountFrequency (%)
51 1
3.2%
70 1
3.2%
145 2
6.5%
168 1
3.2%
184 1
3.2%
199 1
3.2%
1130 1
3.2%
ValueCountFrequency (%)
1130 1
3.2%
199 1
3.2%
184 1
3.2%
168 1
3.2%
145 2
6.5%
70 1
3.2%
51 1
3.2%

실험실도로명주소건물부번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

실험실도로명주소우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
30 
8524
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
96.8%
8524 1
 
3.2%

Length

2024-04-06T22:38:42.661494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:42.760047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
96.8%
8524 1
 
3.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
0317000031700006619990000219990809<NA>1영업/정상BBBB영업<NA><NA><NA><NA>028944214<NA><NA>서울특별시 금천구 독산동 291-1 현대지식산업센터 제에이동 1101호서울특별시 금천구 두산로 70, 제에이동동 11층 1101호 (독산동, 현대지식산업센터)08584선일기술산업(주)2022-06-29 11:15:32U2021-12-07 00:01:00.0<NA>190694.880295440764.426278<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1317000031700006620040000220040615<NA>4취소/말소/만료/정지/중지4폐쇄<NA><NA><NA><NA>0221022500<NA><NA>서울특별시 금천구 가산동 459-28서울특별시 금천구 가산디지털1로 199 (가산동)<NA>(재)한국건설생활환경시험연구원2019-02-27 17:52:20I2019-03-30 02:20:09.0<NA>189337.76877442285.30108410측정대행업<NA><NA>1154510100<NA>145928<NA><NA><NA><NA><NA>11545115451010013117001(가산동)0199<NA><NA>
2317000031700006620040000320041026<NA>3폐업2폐업20140814<NA><NA><NA>0220264648<NA><NA>서울특별시 금천구 가산동 371-28 우림라이온스밸리 B동 706-2호서울특별시 금천구 가산디지털1로 168, B동 706-2호 (가산동, 우림라이온스밸리)153786메리츠테크놀로지(주)2018-12-13 10:37:51I2019-03-30 02:20:09.0<NA>189538.020936441982.427935<NA>측정대행업<NA><NA>1154510100153803137128<NA><NA>우림라이온스밸리B706-211545115451010013117001B동 706-2호 (가산동,우림라이온스밸리)0168<NA><NA>
3317000031700006620060000420060912<NA>3폐업2폐업<NA><NA><NA><NA>025216106<NA><NA>서울특별시 금천구 가산동 319 호서대벤처타워 1003호서울특별시 금천구 가산디지털1로 70, 1003호 (가산동, 호서대벤처타워)153711(주)가림기술단2013-03-12 09:52:38I2019-03-30 02:20:09.0<NA>189841.076534441127.322444<NA>측정대행업<NA><NA>11545101001538021319<NA><NA><NA>호서대벤처타워<NA>1003115451154510100131170011003호 (가산동,호서대벤처타워)070<NA><NA>
431700003170000662010000012010-03-02<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0220261250<NA><NA>서울특별시 금천구 가산동 345-30 남성플라자빌딩 10층서울특별시 금천구 디지털로 130, 10층 (가산동, 남성플라자빌딩)153-782(주)산업공해연구소2024-04-04 11:35:43U2023-12-04 00:06:00.0<NA>189472.091899441483.675018<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5317000031700006620100000220100415<NA>3폐업2폐업<NA><NA><NA><NA>025405960<NA><NA>서울특별시 금천구 가산동 371-50 에이스하이엔드타워3차 1105호서울특별시 금천구 가산디지털1로 145, 1105호 (가산동, 에이스하이엔드타워3차)153787동일시마즈(주)2012-02-29 17:52:54I2019-03-30 02:20:09.0<NA>189467.124187441780.005399130측정대행업<NA><NA>1154510100153803137150<NA><NA>에이스하이엔드타워3차<NA>1105115451154510100131170011105호 (가산동,에이스하이엔드타워3차)0145<NA><NA>
6317000031700006620100000320100415<NA>3폐업2폐업20120229<NA><NA><NA>025405960<NA>153787서울특별시 금천구 가산동 371-50 에이스하이엔드타워3차 1105호서울특별시 금천구 가산디지털1로 145, 1105호 (가산동, 에이스하이엔드타워3차)153787동일시마즈(주)2017-12-27 10:47:59I2019-03-30 02:20:09.0<NA>189467.124187441780.005399<NA>측정대행업<NA><NA>1154510100153803137150<NA><NA>에이스하이엔드타워3차<NA>1105115451154510100131170011105호 (가산동,에이스하이엔드타워3차)0145<NA><NA>
7317000031700006620130000120130314<NA>5제외/삭제/전출5제외사항<NA><NA><NA><NA>02-866-9507<NA><NA>서울특별시 금천구 가산동 60-4 코오롱테크노밸리 205호, 909호서울특별시 금천구 디지털로9길 56 (가산동, 코오롱테크노밸리 205호, 909호)153770(사)대한산업보건협회 서울지역본부2022-11-18 10:11:56U2021-10-31 22:00:00.0<NA>189917.493331442031.656022<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8317000031700006620140000120140303<NA>3폐업2폐업20160822<NA><NA><NA>866-4204<NA><NA>서울특별시 금천구 가산동 481-10서울특별시 금천구 가산디지털2로 184, 1417~1418호 (가산동)153704(주)에버그린탑2016-11-10 15:05:35I2019-03-30 02:20:09.0<NA>189127.981105442460.505542<NA>측정대행업<NA><NA>1154510100<NA>148110<NA><NA><NA><NA><NA>115451154510100131170021417호 (가산동, 벽산디지털밸리2차)0184<NA><NA>
931700003170000662014000022014-10-16<NA>1영업/정상BBBB영업<NA><NA><NA><NA>2026-7545<NA><NA>서울특별시 금천구 가산동 481-11 대륭테크노타운8차 1214호서울특별시 금천구 가마산로 96, 대륭테크노타운8차 1214호 (가산동)08501(주)디디알플러스2023-11-07 16:46:09U2022-11-01 00:09:00.0<NA>189089.927765442569.300676<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
21317000031700006620210000120211108<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 295-5 아안채빌딩서울특별시 금천구 시흥대로123길 51, 아안채빌딩 (독산동)08524에코이엔씨2021-11-17 16:36:11U2021-11-19 02:40:00.0<NA>190680.876167441036.6631140측정대행업0<NA>1154510200<NA>12955<NA><NA>아안채빌딩<NA><NA>11545115451020014151259아안채빌딩 (독산동)051<NA>8524
2231700003170000662021000022021-11-11<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-2138-7919<NA><NA>서울특별시 금천구 가산동 673서울특별시 금천구 가산디지털1로 16, 901, 902, 903호 (가산동)08591(주)건축환경그룹다올2024-01-17 17:30:06U2023-11-30 23:09:00.0<NA>190021.956927440609.209534<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2331700003170000662022000022022-02-23<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 673서울특별시 금천구 가산디지털1로 16, 916호 (가산동)08591(주)블루스쿼드2024-03-11 11:40:13U2023-12-02 23:03:00.0<NA>190021.956927440609.209534<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2431700003170000662022000032022-03-29<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-863-9694<NA><NA>서울특별시 금천구 가산동 680 우림라이온스밸리2차서울특별시 금천구 가산디지털1로 2, 우림라이온스밸리2차 206호 (가산동)08591주식회사 더비씨환경2024-03-14 10:38:56U2023-12-02 23:06:00.0<NA>190050.903573440523.497478<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2531700003170000662022000042022-06-14<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-849-5740<NA><NA>서울특별시 금천구 가산동 554-2서울특별시 금천구 가산디지털2로 43-14 (가산동)08588(주)한경이테크2024-01-10 10:45:07U2023-11-30 23:02:00.0<NA>189450.606005441142.645065<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2631700003170000662023000012023-03-23<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-849-5740<NA><NA>서울특별시 금천구 가산동 554-2서울특별시 금천구 가산디지털2로 43-14, 329호 (가산동)08588(주)한경이테크2023-11-03 09:38:10U2022-11-01 00:05:00.0<NA>189450.606005441142.645065<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2731700003170000662023000022023-04-21<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-863-9693<NA><NA>서울특별시 금천구 가산동 673서울특별시 금천구 가산디지털1로 16, 403호 (가산동)08591(주)로터스이앤티2024-02-02 15:21:20U2023-12-02 00:04:00.0<NA>190021.956927440609.209534<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2831700003170000662023000032023-09-20<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-6204-4728<NA><NA>서울특별시 금천구 가산동 543-1 대성디폴리스지식산업센터 비동 1005호서울특별시 금천구 서부샛길 606, 대성디폴리스지식산업센터 1005호 (가산동)08504엔텍엔지니어링2023-11-21 10:57:18U2022-10-31 22:03:00.0<NA>189055.138252441958.334401<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2931700003170000662023000042023-12-01<NA>5제외/삭제/전출5제외사항<NA><NA><NA><NA>02-830-7111<NA><NA>서울특별시 금천구 가산동 459-22 백상스타타워2차 502호서울특별시 금천구 가산디지털2로 165, 백상스타타워2차 5층 502호 (가산동)08504(주)에코프런티어2024-03-12 13:21:01U2023-12-02 23:04:00.0<NA>189092.729913442262.659278<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3031700003170000662024000012024-03-07<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-6346-2287<NA><NA>서울특별시 금천구 가산동 60-26서울특별시 금천구 디지털로 178, A동 1017호~1022호 (가산동)08513(주)청마2024-03-08 14:33:06I2023-12-02 23:00:00.0기타 과학기술 서비스업189930.507904441616.46071<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>