Overview

Dataset statistics

Number of variables48
Number of observations23
Missing cells423
Missing cells (%)38.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory422.7 B

Variable types

Categorical19
Numeric5
DateTime3
Unsupported14
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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-19505/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
위탁업체명 has constant value ""Constant
실험실면적 is highly imbalanced (74.2%)Imbalance
영업소면적 is highly imbalanced (67.6%)Imbalance
실험실지역코드 is highly imbalanced (74.2%)Imbalance
실험실산 is highly imbalanced (74.2%)Imbalance
실험실번지 is highly imbalanced (74.2%)Imbalance
실험실호 is highly imbalanced (74.2%)Imbalance
실험실도로명주소시군구코드 is highly imbalanced (67.6%)Imbalance
실험실도로명주소읍면동코드 is highly imbalanced (67.6%)Imbalance
실험실도로명주소읍면동구분 is highly imbalanced (57.4%)Imbalance
실험실도로명주소코드 is highly imbalanced (67.6%)Imbalance
실험실도로명주소건물층구분 is highly imbalanced (57.4%)Imbalance
실험실도로명주소건물본번호 is highly imbalanced (67.6%)Imbalance
인허가취소일자 has 23 (100.0%) missing valuesMissing
폐업일자 has 16 (69.6%) missing valuesMissing
휴업시작일자 has 23 (100.0%) missing valuesMissing
휴업종료일자 has 23 (100.0%) missing valuesMissing
재개업일자 has 23 (100.0%) missing valuesMissing
전화번호 has 4 (17.4%) missing valuesMissing
소재지면적 has 23 (100.0%) missing valuesMissing
소재지우편번호 has 23 (100.0%) missing valuesMissing
지번주소 has 4 (17.4%) missing valuesMissing
도로명주소 has 2 (8.7%) missing valuesMissing
도로명우편번호 has 8 (34.8%) missing valuesMissing
업태구분명 has 22 (95.7%) missing valuesMissing
좌표정보(X) has 1 (4.3%) missing valuesMissing
좌표정보(Y) has 1 (4.3%) missing valuesMissing
위탁업체명 has 22 (95.7%) missing valuesMissing
실험실우편번호 has 23 (100.0%) missing valuesMissing
실험실통 has 23 (100.0%) missing valuesMissing
실험실반 has 23 (100.0%) missing valuesMissing
실험실특수주소 has 23 (100.0%) missing valuesMissing
실험실특수주소동 has 23 (100.0%) missing valuesMissing
실험실특수주소호 has 23 (100.0%) missing valuesMissing
실험실도로명특수주소 has 21 (91.3%) missing valuesMissing
실험실도로명주소건물부번호 has 23 (100.0%) missing valuesMissing
실험실도로명주소우편번호 has 23 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실우편번호 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
실험실특수주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실특수주소동 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실특수주소호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소건물부번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실도로명주소우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:06:00.750738
Analysis finished2024-05-11 06:06:02.624658
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
3030000
23 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 23
100.0%

Length

2024-05-11T06:06:03.067268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:03.567209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 23
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0300007 × 1017
Minimum3.0300007 × 1017
Maximum3.0300007 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T06:06:03.942365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0300007 × 1017
5-th percentile3.0300007 × 1017
Q13.0300007 × 1017
median3.0300007 × 1017
Q33.0300007 × 1017
95-th percentile3.0300007 × 1017
Maximum3.0300007 × 1017
Range1300000
Interquartile range (IQR)600000

Descriptive statistics

Standard deviation400424.02
Coefficient of variation (CV)1.3215311 × 10-12
Kurtosis-0.80042876
Mean3.0300007 × 1017
Median Absolute Deviation (MAD)299968
Skewness0.60259505
Sum6.9690015 × 1018
Variance1.603394 × 1011
MonotonicityStrictly increasing
2024-05-11T06:06:04.634377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
303000067201000001 1
 
4.3%
303000067201000002 1
 
4.3%
303000067202300001 1
 
4.3%
303000067202100002 1
 
4.3%
303000067202100001 1
 
4.3%
303000067202000001 1
 
4.3%
303000067201800003 1
 
4.3%
303000067201800002 1
 
4.3%
303000067201800001 1
 
4.3%
303000067201600002 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
303000067201000001 1
4.3%
303000067201000002 1
4.3%
303000067201000003 1
4.3%
303000067201000004 1
4.3%
303000067201100001 1
4.3%
303000067201200001 1
4.3%
303000067201200002 1
4.3%
303000067201201201 1
4.3%
303000067201201202 1
4.3%
303000067201300001 1
4.3%
ValueCountFrequency (%)
303000067202300001 1
4.3%
303000067202100002 1
4.3%
303000067202100001 1
4.3%
303000067202000001 1
4.3%
303000067201800003 1
4.3%
303000067201800002 1
4.3%
303000067201800001 1
4.3%
303000067201600002 1
4.3%
303000067201600001 1
4.3%
303000067201500001 1
4.3%

인허가일자
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2010-05-12 00:00:00
Maximum2023-01-19 00:00:00
2024-05-11T06:06:05.055049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:06:05.534594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
5
8 
1
8 
3
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row1
3rd row5
4th row5
5th row3

Common Values

ValueCountFrequency (%)
5 8
34.8%
1 8
34.8%
3 7
30.4%

Length

2024-05-11T06:06:06.020615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:06.357199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 8
34.8%
1 8
34.8%
3 7
30.4%

영업상태명
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
제외/삭제/전출
8 
영업/정상
8 
폐업
7 

Length

Max length8
Median length5
Mean length5.1304348
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제외/삭제/전출 8
34.8%
영업/정상 8
34.8%
폐업 7
30.4%

Length

2024-05-11T06:06:06.723744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:07.081369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제외/삭제/전출 8
34.8%
영업/정상 8
34.8%
폐업 7
30.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
5
8 
BBBB
8 
2
7 

Length

Max length4
Median length1
Mean length2.0434783
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd rowBBBB
3rd row5
4th row5
5th row2

Common Values

ValueCountFrequency (%)
5 8
34.8%
BBBB 8
34.8%
2 7
30.4%

Length

2024-05-11T06:06:07.511729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:07.759834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 8
34.8%
bbbb 8
34.8%
2 7
30.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
제외사항
8 
영업
8 
폐업
7 

Length

Max length4
Median length2
Mean length2.6956522
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제외사항 8
34.8%
영업 8
34.8%
폐업 7
30.4%

Length

2024-05-11T06:06:08.084219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:08.448026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제외사항 8
34.8%
영업 8
34.8%
폐업 7
30.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)85.7%
Missing16
Missing (%)69.6%
Infinite0
Infinite (%)0.0%
Mean20161987
Minimum20120725
Maximum20200904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T06:06:08.776500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120725
5-th percentile20123574
Q120140212
median20160129
Q320185864
95-th percentile20200904
Maximum20200904
Range80179
Interquartile range (IQR)45652

Descriptive statistics

Standard deviation31520.202
Coefficient of variation (CV)0.0015633479
Kurtosis-1.3672485
Mean20161987
Median Absolute Deviation (MAD)29909
Skewness0.10889323
Sum1.4113391 × 108
Variance9.9352311 × 108
MonotonicityIncreasing
2024-05-11T06:06:09.225967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20200904 2
 
8.7%
20120725 1
 
4.3%
20130220 1
 
4.3%
20150205 1
 
4.3%
20160129 1
 
4.3%
20170825 1
 
4.3%
(Missing) 16
69.6%
ValueCountFrequency (%)
20120725 1
4.3%
20130220 1
4.3%
20150205 1
4.3%
20160129 1
4.3%
20170825 1
4.3%
20200904 2
8.7%
ValueCountFrequency (%)
20200904 2
8.7%
20170825 1
4.3%
20160129 1
4.3%
20150205 1
4.3%
20130220 1
4.3%
20120725 1
4.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

전화번호
Text

MISSING 

Distinct16
Distinct (%)84.2%
Missing4
Missing (%)17.4%
Memory size316.0 B
2024-05-11T06:06:09.641944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.3684211
Min length7

Characters and Unicode

Total characters178
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

Unique14 ?
Unique (%)73.7%

Sample

1st row22993406
2nd row4632177
3rd row4602000
4th row024664668
5th row576-6162
ValueCountFrequency (%)
02-575-1199 3
15.8%
22127557 2
 
10.5%
460-9200 1
 
5.3%
4602000 1
 
5.3%
024664668 1
 
5.3%
576-6162 1
 
5.3%
02-498-1651 1
 
5.3%
34038209 1
 
5.3%
02-576-6162 1
 
5.3%
4632177 1
 
5.3%
Other values (6) 6
31.6%
2024-05-11T06:06:10.480086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 27
15.2%
9 23
12.9%
0 22
12.4%
- 19
10.7%
1 18
10.1%
6 18
10.1%
5 15
8.4%
7 12
6.7%
4 12
6.7%
3 7
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 159
89.3%
Dash Punctuation 19
 
10.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 27
17.0%
9 23
14.5%
0 22
13.8%
1 18
11.3%
6 18
11.3%
5 15
9.4%
7 12
7.5%
4 12
7.5%
3 7
 
4.4%
8 5
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 178
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 27
15.2%
9 23
12.9%
0 22
12.4%
- 19
10.7%
1 18
10.1%
6 18
10.1%
5 15
8.4%
7 12
6.7%
4 12
6.7%
3 7
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 178
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 27
15.2%
9 23
12.9%
0 22
12.4%
- 19
10.7%
1 18
10.1%
6 18
10.1%
5 15
8.4%
7 12
6.7%
4 12
6.7%
3 7
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

지번주소
Text

MISSING 

Distinct16
Distinct (%)84.2%
Missing4
Missing (%)17.4%
Memory size316.0 B
2024-05-11T06:06:11.075031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length33.157895
Min length20

Characters and Unicode

Total characters630
Distinct characters76
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

Unique13 ?
Unique (%)68.4%

Sample

1st row서울특별시 성동구 상왕십리동 14-19 오정빌딩
2nd row서울특별시 성동구 성수동2가 310-61
3rd row서울특별시 성동구 성수동2가 233-3
4th row서울특별시 성동구 성수동1가 14-18 서울숲코오롱디지털타워 3차 1004호
5th row서울특별시 성동구 성수동2가 286-67 창미빌딩 401호
ValueCountFrequency (%)
서울특별시 19
16.8%
성동구 19
16.8%
성수동2가 12
 
10.6%
이비즈센터 3
 
2.7%
성수동1가 3
 
2.7%
280-21 3
 
2.7%
서울숲코오롱디지털타워 3
 
2.7%
우림 3
 
2.7%
성수동 3
 
2.7%
용답동 2
 
1.8%
Other values (36) 43
38.1%
2024-05-11T06:06:12.195955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
 
15.7%
동 41
 
6.5%
성 37
 
5.9%
2 36
 
5.7%
1 30
 
4.8%
서 25
 
4.0%
울 25
 
4.0%
특 19
 
3.0%
별 19
 
3.0%
시 19
 
3.0%
Other values (66) 280
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 357
56.7%
Decimal Number 145
23.0%
Space Separator 99
 
15.7%
Dash Punctuation 19
 
3.0%
Uppercase Letter 4
 
0.6%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%
Math Symbol 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 41
 
11.5%
성 37
 
10.4%
서 25
 
7.0%
울 25
 
7.0%
특 19
 
5.3%
별 19
 
5.3%
시 19
 
5.3%
구 19
 
5.3%
수 18
 
5.0%
가 15
 
4.2%
Other values (49) 120
33.6%
Decimal Number
ValueCountFrequency (%)
2 36
24.8%
1 30
20.7%
0 17
11.7%
3 14
 
9.7%
4 12
 
8.3%
8 10
 
6.9%
6 10
 
6.9%
5 8
 
5.5%
7 6
 
4.1%
9 2
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
T 2
50.0%
I 2
50.0%
Space Separator
ValueCountFrequency (%)
99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 357
56.7%
Common 269
42.7%
Latin 4
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 41
 
11.5%
성 37
 
10.4%
서 25
 
7.0%
울 25
 
7.0%
특 19
 
5.3%
별 19
 
5.3%
시 19
 
5.3%
구 19
 
5.3%
수 18
 
5.0%
가 15
 
4.2%
Other values (49) 120
33.6%
Common
ValueCountFrequency (%)
99
36.8%
2 36
 
13.4%
1 30
 
11.2%
- 19
 
7.1%
0 17
 
6.3%
3 14
 
5.2%
4 12
 
4.5%
8 10
 
3.7%
6 10
 
3.7%
5 8
 
3.0%
Other values (5) 14
 
5.2%
Latin
ValueCountFrequency (%)
T 2
50.0%
I 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 357
56.7%
ASCII 273
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
36.3%
2 36
 
13.2%
1 30
 
11.0%
- 19
 
7.0%
0 17
 
6.2%
3 14
 
5.1%
4 12
 
4.4%
8 10
 
3.7%
6 10
 
3.7%
5 8
 
2.9%
Other values (7) 18
 
6.6%
Hangul
ValueCountFrequency (%)
동 41
 
11.5%
성 37
 
10.4%
서 25
 
7.0%
울 25
 
7.0%
특 19
 
5.3%
별 19
 
5.3%
시 19
 
5.3%
구 19
 
5.3%
수 18
 
5.0%
가 15
 
4.2%
Other values (49) 120
33.6%

도로명주소
Text

MISSING 

Distinct18
Distinct (%)85.7%
Missing2
Missing (%)8.7%
Memory size316.0 B
2024-05-11T06:06:12.725121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length45
Mean length37.857143
Min length26

Characters and Unicode

Total characters795
Distinct characters87
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)71.4%

Sample

1st row서울특별시 성동구 청계천로 426 (상왕십리동,오정빌딩)
2nd row서울특별시 성동구 연무장길 28-15 (성수동2가)
3rd row서울특별시 성동구 성덕정길 151 (성수동2가)
4th row서울특별시 성동구 아차산로 49 (성수동1가,서울숲코오롱디지털타워 3차 1004호)
5th row서울특별시 성동구 아차산로 153 (성수동2가)
ValueCountFrequency (%)
서울특별시 21
 
14.9%
성동구 21
 
14.9%
성수동2가 13
 
9.2%
광나루로6길 3
 
2.1%
35 3
 
2.1%
성수동 3
 
2.1%
우림 3
 
2.1%
이비즈센터 3
 
2.1%
서울숲 3
 
2.1%
702호 2
 
1.4%
Other values (52) 66
46.8%
2024-05-11T06:06:13.741007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
15.1%
성 49
 
6.2%
동 45
 
5.7%
서 28
 
3.5%
울 28
 
3.5%
수 27
 
3.4%
2 26
 
3.3%
1 25
 
3.1%
시 23
 
2.9%
) 22
 
2.8%
Other values (77) 402
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 474
59.6%
Decimal Number 128
 
16.1%
Space Separator 120
 
15.1%
Close Punctuation 22
 
2.8%
Open Punctuation 22
 
2.8%
Other Punctuation 21
 
2.6%
Uppercase Letter 4
 
0.5%
Letter Number 2
 
0.3%
Math Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 49
 
10.3%
동 45
 
9.5%
서 28
 
5.9%
울 28
 
5.9%
수 27
 
5.7%
시 23
 
4.9%
별 21
 
4.4%
특 21
 
4.4%
구 21
 
4.4%
로 19
 
4.0%
Other values (58) 192
40.5%
Decimal Number
ValueCountFrequency (%)
2 26
20.3%
1 25
19.5%
5 14
10.9%
0 14
10.9%
3 13
10.2%
7 11
8.6%
4 11
8.6%
6 10
 
7.8%
8 3
 
2.3%
9 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
I 2
50.0%
T 2
50.0%
Space Separator
ValueCountFrequency (%)
120
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 474
59.6%
Common 315
39.6%
Latin 6
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 49
 
10.3%
동 45
 
9.5%
서 28
 
5.9%
울 28
 
5.9%
수 27
 
5.7%
시 23
 
4.9%
별 21
 
4.4%
특 21
 
4.4%
구 21
 
4.4%
로 19
 
4.0%
Other values (58) 192
40.5%
Common
ValueCountFrequency (%)
120
38.1%
2 26
 
8.3%
1 25
 
7.9%
) 22
 
7.0%
( 22
 
7.0%
, 21
 
6.7%
5 14
 
4.4%
0 14
 
4.4%
3 13
 
4.1%
7 11
 
3.5%
Other values (6) 27
 
8.6%
Latin
ValueCountFrequency (%)
I 2
33.3%
Ⅱ 2
33.3%
T 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 474
59.6%
ASCII 319
40.1%
Number Forms 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
37.6%
2 26
 
8.2%
1 25
 
7.8%
) 22
 
6.9%
( 22
 
6.9%
, 21
 
6.6%
5 14
 
4.4%
0 14
 
4.4%
3 13
 
4.1%
7 11
 
3.4%
Other values (8) 31
 
9.7%
Hangul
ValueCountFrequency (%)
성 49
 
10.3%
동 45
 
9.5%
서 28
 
5.9%
울 28
 
5.9%
수 27
 
5.7%
시 23
 
4.9%
별 21
 
4.4%
특 21
 
4.4%
구 21
 
4.4%
로 19
 
4.0%
Other values (58) 192
40.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)60.0%
Missing8
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean56354.6
Minimum4707
Maximum133847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T06:06:14.120878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4707
5-th percentile4758.8
Q14781
median4799
Q3133832
95-th percentile133847
Maximum133847
Range129140
Interquartile range (IQR)129051

Descriptive statistics

Standard deviation65384.809
Coefficient of variation (CV)1.1602391
Kurtosis-2.0939484
Mean56354.6
Median Absolute Deviation (MAD)18
Skewness0.45510719
Sum845319
Variance4.2751732 × 109
MonotonicityNot monotonic
2024-05-11T06:06:14.505391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4781 4
17.4%
133832 2
 
8.7%
133847 2
 
8.7%
4799 2
 
8.7%
4790 1
 
4.3%
133120 1
 
4.3%
133834 1
 
4.3%
4788 1
 
4.3%
4707 1
 
4.3%
(Missing) 8
34.8%
ValueCountFrequency (%)
4707 1
 
4.3%
4781 4
17.4%
4788 1
 
4.3%
4790 1
 
4.3%
4799 2
8.7%
133120 1
 
4.3%
133832 2
8.7%
133834 1
 
4.3%
133847 2
8.7%
ValueCountFrequency (%)
133847 2
8.7%
133834 1
 
4.3%
133832 2
8.7%
133120 1
 
4.3%
4799 2
8.7%
4790 1
 
4.3%
4788 1
 
4.3%
4781 4
17.4%
4707 1
 
4.3%

사업장명
Text

Distinct18
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T06:06:14.934954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.9565217
Min length4

Characters and Unicode

Total characters206
Distinct characters65
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)56.5%

Sample

1st row(주)오토기기
2nd row(자)세화산업사
3rd row(주)비츠로시스
4th row바이오메카(주)
5th row에스엔엔지니어링(주)
ValueCountFrequency (%)
주식회사 4
14.8%
주)세일에프에이 2
 
7.4%
주)제이엔씨엔텍 2
 
7.4%
삼중환경기술 2
 
7.4%
에스엔엔지니어링(주 2
 
7.4%
세이브기술(주 2
 
7.4%
주)금강씨엔티 1
 
3.7%
주)오토기기 1
 
3.7%
동해종합기술공사 1
 
3.7%
주)시너젠 1
 
3.7%
Other values (9) 9
33.3%
2024-05-11T06:06:15.739755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 21
 
10.2%
( 17
 
8.3%
) 17
 
8.3%
엔 11
 
5.3%
이 9
 
4.4%
기 8
 
3.9%
에 8
 
3.9%
술 6
 
2.9%
세 6
 
2.9%
사 6
 
2.9%
Other values (55) 97
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166
80.6%
Open Punctuation 17
 
8.3%
Close Punctuation 17
 
8.3%
Space Separator 4
 
1.9%
Dash Punctuation 1
 
0.5%
Other Symbol 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 21
 
12.7%
엔 11
 
6.6%
이 9
 
5.4%
기 8
 
4.8%
에 8
 
4.8%
술 6
 
3.6%
세 6
 
3.6%
사 6
 
3.6%
지 5
 
3.0%
링 4
 
2.4%
Other values (50) 82
49.4%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 167
81.1%
Common 39
 
18.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 21
 
12.6%
엔 11
 
6.6%
이 9
 
5.4%
기 8
 
4.8%
에 8
 
4.8%
술 6
 
3.6%
세 6
 
3.6%
사 6
 
3.6%
지 5
 
3.0%
링 4
 
2.4%
Other values (51) 83
49.7%
Common
ValueCountFrequency (%)
( 17
43.6%
) 17
43.6%
4
 
10.3%
- 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166
80.6%
ASCII 39
 
18.9%
None 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 21
 
12.7%
엔 11
 
6.6%
이 9
 
5.4%
기 8
 
4.8%
에 8
 
4.8%
술 6
 
3.6%
세 6
 
3.6%
사 6
 
3.6%
지 5
 
3.0%
링 4
 
2.4%
Other values (50) 82
49.4%
ASCII
ValueCountFrequency (%)
( 17
43.6%
) 17
43.6%
4
 
10.3%
- 1
 
2.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2012-07-25 13:08:07
Maximum2024-04-12 18:16:16
2024-05-11T06:06:16.135235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:06:16.731123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
U
18 
I
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 18
78.3%
I 5
 
21.7%

Length

2024-05-11T06:06:17.136368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:17.440488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 18
78.3%
i 5
 
21.7%

데이터갱신일자
Date

Distinct9
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2019-03-30 02:20:09
Maximum2023-12-03 23:04:00
2024-05-11T06:06:17.741473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:06:18.113296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

업태구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing22
Missing (%)95.7%
Memory size316.0 B
2024-05-11T06:06:18.559414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters16
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

Unique1 ?
Unique (%)100.0%

Sample

1st row환경 관련 엔지니어링 서비스업
ValueCountFrequency (%)
환경 1
25.0%
관련 1
25.0%
엔지니어링 1
25.0%
서비스업 1
25.0%
2024-05-11T06:06:19.407948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
18.8%
환 1
 
6.2%
경 1
 
6.2%
관 1
 
6.2%
련 1
 
6.2%
엔 1
 
6.2%
지 1
 
6.2%
니 1
 
6.2%
어 1
 
6.2%
링 1
 
6.2%
Other values (4) 4
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13
81.2%
Space Separator 3
 
18.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
환 1
 
7.7%
경 1
 
7.7%
관 1
 
7.7%
련 1
 
7.7%
엔 1
 
7.7%
지 1
 
7.7%
니 1
 
7.7%
어 1
 
7.7%
링 1
 
7.7%
서 1
 
7.7%
Other values (3) 3
23.1%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13
81.2%
Common 3
 
18.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
환 1
 
7.7%
경 1
 
7.7%
관 1
 
7.7%
련 1
 
7.7%
엔 1
 
7.7%
지 1
 
7.7%
니 1
 
7.7%
어 1
 
7.7%
링 1
 
7.7%
서 1
 
7.7%
Other values (3) 3
23.1%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13
81.2%
ASCII 3
 
18.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3
100.0%
Hangul
ValueCountFrequency (%)
환 1
 
7.7%
경 1
 
7.7%
관 1
 
7.7%
련 1
 
7.7%
엔 1
 
7.7%
지 1
 
7.7%
니 1
 
7.7%
어 1
 
7.7%
링 1
 
7.7%
서 1
 
7.7%
Other values (3) 3
23.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)72.7%
Missing1
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean204702.84
Minimum202087.15
Maximum205525.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T06:06:19.795114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202087.15
5-th percentile202893.97
Q1204522.1
median205009.31
Q3205227.03
95-th percentile205525.62
Maximum205525.62
Range3438.467
Interquartile range (IQR)704.93791

Descriptive statistics

Standard deviation851.46701
Coefficient of variation (CV)0.0041595271
Kurtosis3.8959508
Mean204702.84
Median Absolute Deviation (MAD)369.23892
Skewness-1.9004898
Sum4503462.5
Variance724996.07
MonotonicityNot monotonic
2024-05-11T06:06:20.219143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
205525.616970821 3
13.0%
205184.716063461 2
 
8.7%
204522.096092445 2
 
8.7%
205023.511610051 2
 
8.7%
204749.401114876 2
 
8.7%
205013.206755565 1
 
4.3%
202841.698835473 1
 
4.3%
203887.185047227 1
 
4.3%
205277.638698573 1
 
4.3%
202087.149930338 1
 
4.3%
Other values (6) 6
26.1%
ValueCountFrequency (%)
202087.149930338 1
4.3%
202841.698835473 1
4.3%
203887.185047227 1
4.3%
204323.651283128 1
4.3%
204339.630102839 1
4.3%
204522.096092445 2
8.7%
204585.490773655 1
4.3%
204749.401114876 2
8.7%
205005.412995572 1
4.3%
205013.206755565 1
4.3%
ValueCountFrequency (%)
205525.616970821 3
13.0%
205323.968609483 1
 
4.3%
205277.638698573 1
 
4.3%
205241.139981016 1
 
4.3%
205184.716063461 2
8.7%
205023.511610051 2
8.7%
205013.206755565 1
 
4.3%
205005.412995572 1
 
4.3%
204749.401114876 2
8.7%
204585.490773655 1
 
4.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)72.7%
Missing1
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean449557.2
Minimum448272.02
Maximum452078.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T06:06:20.612629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448272.02
5-th percentile448614.91
Q1448961.98
median449394.28
Q3449527.8
95-th percentile451458.89
Maximum452078.47
Range3806.4511
Interquartile range (IQR)565.81935

Descriptive statistics

Standard deviation982.59566
Coefficient of variation (CV)0.0021856966
Kurtosis1.2169124
Mean449557.2
Median Absolute Deviation (MAD)419.62656
Skewness1.3676943
Sum9890258.4
Variance965494.23
MonotonicityNot monotonic
2024-05-11T06:06:21.016453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
449394.284127151 3
13.0%
451050.148324829 2
 
8.7%
448925.421926728 2
 
8.7%
449000.007942068 2
 
8.7%
448614.910605472 2
 
8.7%
449538.234799943 1
 
4.3%
451480.404421255 1
 
4.3%
449860.057407228 1
 
4.3%
449324.450831297 1
 
4.3%
452078.470105803 1
 
4.3%
Other values (6) 6
26.1%
ValueCountFrequency (%)
448272.019031398 1
 
4.3%
448614.910605472 2
8.7%
448925.421926728 2
8.7%
448949.307195686 1
 
4.3%
449000.007942068 2
8.7%
449023.939543838 1
 
4.3%
449324.450831297 1
 
4.3%
449394.284127151 3
13.0%
449401.651913139 1
 
4.3%
449469.505136008 1
 
4.3%
ValueCountFrequency (%)
452078.470105803 1
 
4.3%
451480.404421255 1
 
4.3%
451050.148324829 2
8.7%
449860.057407228 1
 
4.3%
449538.234799943 1
 
4.3%
449496.502512417 1
 
4.3%
449469.505136008 1
 
4.3%
449401.651913139 1
 
4.3%
449394.284127151 3
13.0%
449324.450831297 1
 
4.3%

실험실면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
0
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
0 1
 
4.3%

Length

2024-05-11T06:06:21.456481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:21.819346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
0 1
 
4.3%

사업장구분명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
17 
환경전문공사업
6 

Length

Max length7
Median length4
Mean length4.7826087
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
73.9%
환경전문공사업 6
 
26.1%

Length

2024-05-11T06:06:22.182955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:22.525135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
73.9%
환경전문공사업 6
 
26.1%

영업소면적
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
0
 
1
449
 
1

Length

Max length4
Median length4
Mean length3.826087
Min length1

Unique

Unique2 ?
Unique (%)8.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
0 1
 
4.3%
449 1
 
4.3%

Length

2024-05-11T06:06:23.021219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:23.348067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
0 1
 
4.3%
449 1
 
4.3%

위탁업체명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing22
Missing (%)95.7%
Memory size316.0 B
2024-05-11T06:06:23.634096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters9
Distinct characters9
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

Unique1 ?
Unique (%)100.0%

Sample

1st row(주)청명기연환경
ValueCountFrequency (%)
주)청명기연환경 1
100.0%
2024-05-11T06:06:24.388452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 1
11.1%
주 1
11.1%
) 1
11.1%
청 1
11.1%
명 1
11.1%
기 1
11.1%
연 1
11.1%
환 1
11.1%
경 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
77.8%
Open Punctuation 1
 
11.1%
Close Punctuation 1
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1
14.3%
청 1
14.3%
명 1
14.3%
기 1
14.3%
연 1
14.3%
환 1
14.3%
경 1
14.3%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
77.8%
Common 2
 
22.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1
14.3%
청 1
14.3%
명 1
14.3%
기 1
14.3%
연 1
14.3%
환 1
14.3%
경 1
14.3%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
77.8%
ASCII 2
 
22.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%
Hangul
ValueCountFrequency (%)
주 1
14.3%
청 1
14.3%
명 1
14.3%
기 1
14.3%
연 1
14.3%
환 1
14.3%
경 1
14.3%

실험실지역코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
1171010500
 
1

Length

Max length10
Median length4
Mean length4.2608696
Min length4

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
1171010500 1
 
4.3%

Length

2024-05-11T06:06:24.831425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:25.250247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
1171010500 1
 
4.3%

실험실우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

실험실산
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
1
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
1 1
 
4.3%

Length

2024-05-11T06:06:25.605814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:25.926507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
1 1
 
4.3%

실험실번지
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
235
 
1

Length

Max length4
Median length4
Mean length3.9565217
Min length3

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
235 1
 
4.3%

Length

2024-05-11T06:06:26.318788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:26.658914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
235 1
 
4.3%

실험실호
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
18
 
1

Length

Max length4
Median length4
Mean length3.9130435
Min length2

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
18 1
 
4.3%

Length

2024-05-11T06:06:27.044241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:27.358616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
18 1
 
4.3%

실험실통
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

실험실반
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

실험실특수주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

실험실특수주소동
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

실험실특수주소호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

실험실도로명주소시군구코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
11200
 
1
11710
 
1

Length

Max length5
Median length4
Mean length4.0869565
Min length4

Unique

Unique2 ?
Unique (%)8.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
11200 1
 
4.3%
11710 1
 
4.3%

Length

2024-05-11T06:06:27.652594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:27.955485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
11200 1
 
4.3%
11710 1
 
4.3%

실험실도로명주소읍면동코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
1120011500
 
1
1171010500
 
1

Length

Max length10
Median length4
Mean length4.5217391
Min length4

Unique

Unique2 ?
Unique (%)8.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
1120011500 1
 
4.3%
1171010500 1
 
4.3%

Length

2024-05-11T06:06:28.259786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:28.680623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
1120011500 1
 
4.3%
1171010500 1
 
4.3%

실험실도로명주소읍면동구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
1
 
2

Length

Max length4
Median length4
Mean length3.7391304
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> 21
91.3%
1 2
 
8.7%

Length

2024-05-11T06:06:29.014028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:29.403964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
1 2
 
8.7%

실험실도로명주소코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
3000002
 
1
4169186
 
1

Length

Max length7
Median length4
Mean length4.2608696
Min length4

Unique

Unique2 ?
Unique (%)8.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
3000002 1
 
4.3%
4169186 1
 
4.3%

Length

2024-05-11T06:06:29.792393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:30.119399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
3000002 1
 
4.3%
4169186 1
 
4.3%

실험실도로명특수주소
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing21
Missing (%)91.3%
Memory size316.0 B
2024-05-11T06:06:30.454699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6
Min length5

Characters and Unicode

Total characters12
Distinct characters9
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

Unique2 ?
Unique (%)100.0%

Sample

1st row(성수동2가)
2nd row(석촌동)
ValueCountFrequency (%)
성수동2가 1
50.0%
석촌동 1
50.0%
2024-05-11T06:06:31.273389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 2
16.7%
동 2
16.7%
) 2
16.7%
성 1
8.3%
수 1
8.3%
2 1
8.3%
가 1
8.3%
석 1
8.3%
촌 1
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
58.3%
Open Punctuation 2
 
16.7%
Close Punctuation 2
 
16.7%
Decimal Number 1
 
8.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2
28.6%
성 1
14.3%
수 1
14.3%
가 1
14.3%
석 1
14.3%
촌 1
14.3%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
58.3%
Common 5
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2
28.6%
성 1
14.3%
수 1
14.3%
가 1
14.3%
석 1
14.3%
촌 1
14.3%
Common
ValueCountFrequency (%)
( 2
40.0%
) 2
40.0%
2 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
58.3%
ASCII 5
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 2
40.0%
) 2
40.0%
2 1
20.0%
Hangul
ValueCountFrequency (%)
동 2
28.6%
성 1
14.3%
수 1
14.3%
가 1
14.3%
석 1
14.3%
촌 1
14.3%

실험실도로명주소건물층구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
0
 
2

Length

Max length4
Median length4
Mean length3.7391304
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> 21
91.3%
0 2
 
8.7%

Length

2024-05-11T06:06:31.726908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:32.093576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
0 2
 
8.7%

실험실도로명주소건물본번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
153
 
1
12
 
1

Length

Max length4
Median length4
Mean length3.8695652
Min length2

Unique

Unique2 ?
Unique (%)8.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
153 1
 
4.3%
12 1
 
4.3%

Length

2024-05-11T06:06:32.521247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:06:32.935001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
153 1
 
4.3%
12 1
 
4.3%

실험실도로명주소건물부번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

실험실도로명주소우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
0303000030300006720100000120100625<NA>5제외/삭제/전출5제외사항<NA><NA><NA><NA>22993406<NA><NA>서울특별시 성동구 상왕십리동 14-19 오정빌딩서울특별시 성동구 청계천로 426 (상왕십리동,오정빌딩)<NA>(주)오토기기2022-04-08 15:48:23U2021-12-03 23:02:00.0<NA>202087.14993452078.470106<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1303000030300006720100000220100512<NA>1영업/정상BBBB영업<NA><NA><NA><NA>4632177<NA><NA>서울특별시 성동구 성수동2가 310-61서울특별시 성동구 연무장길 28-15 (성수동2가)<NA>(자)세화산업사2021-10-25 13:15:27U2021-10-27 02:40:00.0<NA>204585.490774448949.3071960환경전문공사업0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2303000030300006720100000320100720<NA>5제외/삭제/전출5제외사항<NA><NA><NA><NA>4602000<NA><NA>서울특별시 성동구 성수동2가 233-3서울특별시 성동구 성덕정길 151 (성수동2가)<NA>(주)비츠로시스2022-04-08 15:48:52U2021-12-03 23:02:00.0<NA>205241.139981448272.019031<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3303000030300006720100000420101020<NA>5제외/삭제/전출5제외사항<NA><NA><NA><NA>024664668<NA><NA>서울특별시 성동구 성수동1가 14-18 서울숲코오롱디지털타워 3차 1004호서울특별시 성동구 아차산로 49 (성수동1가,서울숲코오롱디지털타워 3차 1004호)<NA>바이오메카(주)2022-04-08 15:49:39U2021-12-03 23:02:00.0<NA>204323.651283449401.651913<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4303000030300006720110000120110512<NA>3폐업2폐업20120725<NA><NA><NA>576-6162<NA><NA>서울특별시 성동구 성수동2가 286-67 창미빌딩 401호<NA><NA>에스엔엔지니어링(주)2012-07-25 13:08:07I2019-03-30 02:20:09.0<NA><NA><NA><NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5303000030300006720120000120120321<NA>5제외/삭제/전출5제외사항<NA><NA><NA><NA>02-498-1651<NA><NA>서울특별시 성동구 성수동2가 273-24 경헙회관<NA><NA>세이브기술(주)2022-04-08 15:55:21U2021-12-03 23:02:00.0<NA>205023.51161449000.007942<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6303000030300006720120000220120413<NA>3폐업2폐업20130220<NA><NA><NA>34038209<NA><NA>서울특별시 성동구 성수동2가 277-61 예림출판문화센터 3~5층(서울지점)서울특별시 성동구 아차산로 153 (성수동2가)133832주-휴먼텍코리아2013-02-20 17:43:07I2019-03-30 02:20:09.0<NA>205323.968609449023.939544<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>11200112001150013000002(성수동2가)0153<NA><NA>
7303000030300006720120120120121025<NA>3폐업2폐업20150205<NA><NA><NA>460-9200<NA><NA>서울특별시 성동구 성수동2가 289-5 에이팩센터 12층(1203호~1205호)서울특별시 성동구 아차산로7나길 18 (성수동2가,에이팩센터 12층(1203호~1205호))<NA>(주)이에이그룹엔지니어링2015-03-02 10:08:08I2019-03-30 02:20:09.0<NA>205005.412996449496.502512<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
830300003030000672012012022012-01-03<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-576-6162<NA><NA>서울특별시 성동구 성수동1가 13-164 서울숲 IT 밸리 1410호서울특별시 성동구 성수일로 77, 서울숲 IT 밸리 1410호 (성수동1가)4790에스엔엔지니어링(주)2024-01-09 15:23:08U2023-11-30 23:01:00.0<NA>204339.630103449469.505136<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9303000030300006720130000120130307<NA>3폐업2폐업20160129<NA><NA><NA>498-1651<NA><NA>서울특별시 성동구 성수동2가 273-24 경헙회관 2층서울특별시 성동구 성수이로20길 10, 2층 (성수동2가)133120세이브기술(주)2016-01-29 15:16:09I2019-03-30 02:20:09.0<NA>205023.51161449000.007942<NA>환경전문공사업449(주)청명기연환경1171010500<NA>123518<NA><NA><NA><NA><NA>11710117101050014169186(석촌동)012<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
13303000030300006720150000120150302<NA>3폐업2폐업20170825<NA><NA><NA>02-2601-5310<NA><NA><NA>서울특별시 성동구 아차산로11길 30 (성수동2가)133832(주)서진에너지2018-02-02 10:06:53I2019-03-30 02:20:09.0<NA>205277.638699449324.450831<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14303000030300006720160000120161117<NA>5제외/삭제/전출5제외사항<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수이로7길 7, 702호 (성수동2가, 서울숲 한라시그마밸리Ⅱ)4781(주)세일에프에이2022-04-08 15:58:03U2021-12-03 23:02:00.0<NA>204749.401115448614.910605<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1530300003030000672016000022016-11-21<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수이로7길 7, 702호 (성수동2가, 서울숲 한라시그마밸리Ⅱ)4781(주)세일에프에이2024-01-09 15:27:11U2023-11-30 23:01:00.0<NA>204749.401115448614.910605<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
16303000030300006720180000120180820<NA>3폐업2폐업20200904<NA><NA><NA>02-575-1199<NA><NA>서울특별시 성동구 성수동2가 280-21 성수동 우림 이비즈센터서울특별시 성동구 광나루로6길 35, 성수동 우림 이비즈센터 413호 (성수동2가)<NA>삼중환경기술 주식회사2022-04-08 15:47:31U2021-12-03 23:02:00.0<NA>205525.616971449394.284127<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
17303000030300006720180000220180821<NA>3폐업2폐업20200904<NA><NA><NA>02-575-1199<NA><NA>서울특별시 성동구 성수동2가 280-21 성수동 우림 이비즈센터서울특별시 성동구 광나루로6길 35, 성수동 우림 이비즈센터 413호 (성수동2가)4799삼중환경기술 주식회사2022-04-08 15:57:06U2021-12-03 23:02:00.0<NA>205525.616971449394.284127<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1830300003030000672018000032018-12-05<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동1가 671-6 서울숲IT캐슬 1310호서울특별시 성동구 광나루로 130, 서울숲IT캐슬 (성수동1가)4788(주)금강씨엔티2024-04-12 18:16:16U2023-12-03 23:04:00.0<NA>203887.185047449860.057407<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1930300003030000672020000012020-02-26<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-2297-8614<NA><NA>서울특별시 성동구 홍익동 302-16서울특별시 성동구 무학로8길 17, 3층 (홍익동)4707세마엔지니어링 주식회사2023-12-04 16:25:38U2022-11-02 00:06:00.0<NA>202841.698835451480.404421<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2030300003030000672021000012021-03-17<NA>1영업/정상BBBB영업<NA><NA><NA><NA>024999939<NA><NA>서울특별시 성동구 성수동2가 308-4 서울숲코오롱디지털타워 505호서울특별시 성동구 성수일로4길 25, 서울숲코오롱디지털타워 (성수동2가)4781(주)시너젠2023-11-06 10:23:03U2022-11-01 00:08:00.0<NA>204522.096092448925.421927<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2130300003030000672021000022022-01-11<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-575-1199<NA><NA>서울특별시 성동구 성수동2가 280-21 성수동 우림 이비즈센터 502호서울특별시 성동구 광나루로6길 35, 성수동 우림 이비즈센터 502호 (성수동2가)4799주식회사 동해종합기술공사2023-08-11 17:46:23U2022-12-07 23:03:00.0환경 관련 엔지니어링 서비스업205525.616971449394.284127<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2230300003030000672023000012023-01-19<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-499-9939<NA><NA>서울특별시 성동구 성수동2가 308-4 서울숲코오롱디지털타워 505호서울특별시 성동구 성수일로4길 25, 서울숲코오롱디지털타워 505호 (성수동2가)4781㈜시너젠2023-11-16 17:40:44U2022-10-31 23:08:00.0<NA>204522.096092448925.421927<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>