Overview

Dataset statistics

Number of variables48
Number of observations25
Missing cells427
Missing cells (%)35.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.3 KiB
Average record size in memory420.3 B

Variable types

Categorical20
Numeric3
DateTime3
Unsupported13
Text9

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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-19503/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
위탁업체명 has constant value ""Constant
실험실특수주소 has constant value ""Constant
폐업일자 is highly imbalanced (58.9%)Imbalance
영업소면적 is highly imbalanced (75.8%)Imbalance
실험실지역코드 is highly imbalanced (64.0%)Imbalance
실험실번지 is highly imbalanced (64.0%)Imbalance
실험실호 is highly imbalanced (64.0%)Imbalance
실험실도로명주소시군구코드 is highly imbalanced (64.0%)Imbalance
실험실도로명주소읍면동코드 is highly imbalanced (64.0%)Imbalance
실험실도로명주소코드 is highly imbalanced (64.0%)Imbalance
실험실도로명주소건물본번호 is highly imbalanced (64.0%)Imbalance
실험실도로명주소우편번호 is highly imbalanced (69.6%)Imbalance
인허가취소일자 has 25 (100.0%) missing valuesMissing
휴업시작일자 has 25 (100.0%) missing valuesMissing
휴업종료일자 has 25 (100.0%) missing valuesMissing
재개업일자 has 25 (100.0%) missing valuesMissing
전화번호 has 4 (16.0%) missing valuesMissing
소재지면적 has 25 (100.0%) missing valuesMissing
소재지우편번호 has 25 (100.0%) missing valuesMissing
도로명주소 has 3 (12.0%) missing valuesMissing
도로명우편번호 has 6 (24.0%) missing valuesMissing
업태구분명 has 19 (76.0%) missing valuesMissing
실험실면적 has 25 (100.0%) missing valuesMissing
위탁업체명 has 24 (96.0%) missing valuesMissing
실험실우편번호 has 25 (100.0%) missing valuesMissing
실험실통 has 25 (100.0%) missing valuesMissing
실험실반 has 25 (100.0%) missing valuesMissing
실험실특수주소 has 24 (96.0%) missing valuesMissing
실험실특수주소동 has 25 (100.0%) missing valuesMissing
실험실특수주소호 has 25 (100.0%) missing valuesMissing
실험실도로명특수주소 has 22 (88.0%) missing valuesMissing
실험실도로명주소건물부번호 has 25 (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
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
실험실면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
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

Reproduction

Analysis started2024-04-29 19:57:20.252832
Analysis finished2024-04-29 19:57:21.036046
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
3010000
25 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 25
100.0%

Length

2024-04-30T04:57:21.101145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:21.179067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 25
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0100007 × 1017
Minimum3.0100007 × 1017
Maximum3.0100007 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-30T04:57:21.253681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0100007 × 1017
5-th percentile3.0100007 × 1017
Q13.0100007 × 1017
median3.0100007 × 1017
Q33.0100007 × 1017
95-th percentile3.0100007 × 1017
Maximum3.0100007 × 1017
Range3100000
Interquartile range (IQR)800000

Descriptive statistics

Standard deviation792083.69
Coefficient of variation (CV)2.6315067 × 10-12
Kurtosis4.2282761
Mean3.0100007 × 1017
Median Absolute Deviation (MAD)299968
Skewness-2.0487063
Sum7.5250017 × 1018
Variance6.2739657 × 1011
MonotonicityStrictly increasing
2024-04-30T04:57:21.358233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
301000067199200001 1
 
4.0%
301000067199300008 1
 
4.0%
301000067202300001 1
 
4.0%
301000067202200003 1
 
4.0%
301000067202200002 1
 
4.0%
301000067202200001 1
 
4.0%
301000067202000004 1
 
4.0%
301000067202000003 1
 
4.0%
301000067202000002 1
 
4.0%
301000067202000001 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
301000067199200001 1
4.0%
301000067199300008 1
4.0%
301000067201000001 1
4.0%
301000067201000002 1
4.0%
301000067201100001 1
4.0%
301000067201100002 1
4.0%
301000067201200001 1
4.0%
301000067201400001 1
4.0%
301000067201500001 1
4.0%
301000067201800001 1
4.0%
ValueCountFrequency (%)
301000067202300001 1
4.0%
301000067202200003 1
4.0%
301000067202200002 1
4.0%
301000067202200001 1
4.0%
301000067202000004 1
4.0%
301000067202000003 1
4.0%
301000067202000002 1
4.0%
301000067202000001 1
4.0%
301000067201900016 1
4.0%
301000067201900015 1
4.0%

인허가일자
Date

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum1992-12-04 00:00:00
Maximum2023-11-14 00:00:00
2024-04-30T04:57:21.451919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:57:21.537646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
1
20 
3
4 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 20
80.0%
3 4
 
16.0%
5 1
 
4.0%

Length

2024-04-30T04:57:21.630491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:21.705943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
80.0%
3 4
 
16.0%
5 1
 
4.0%

영업상태명
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업/정상
20 
폐업
4 
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length4.64
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 20
80.0%
폐업 4
 
16.0%
제외/삭제/전출 1
 
4.0%

Length

2024-04-30T04:57:21.791388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:21.874645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 20
80.0%
폐업 4
 
16.0%
제외/삭제/전출 1
 
4.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
BBBB
20 
2
4 
5
 
1

Length

Max length4
Median length4
Mean length3.4
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
BBBB 20
80.0%
2 4
 
16.0%
5 1
 
4.0%

Length

2024-04-30T04:57:21.981729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:22.077390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 20
80.0%
2 4
 
16.0%
5 1
 
4.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업
20 
폐업
4 
제외사항
 
1

Length

Max length4
Median length2
Mean length2.08
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 20
80.0%
폐업 4
 
16.0%
제외사항 1
 
4.0%

Length

2024-04-30T04:57:22.179440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:22.280673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 20
80.0%
폐업 4
 
16.0%
제외사항 1
 
4.0%

폐업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
21 
20200410
 
1
20140507
 
1
20200101
 
1
20210513
 
1

Length

Max length8
Median length4
Mean length4.64
Min length4

Unique

Unique4 ?
Unique (%)16.0%

Sample

1st row<NA>
2nd row<NA>
3rd row20200410
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
84.0%
20200410 1
 
4.0%
20140507 1
 
4.0%
20200101 1
 
4.0%
20210513 1
 
4.0%

Length

2024-04-30T04:57:22.387137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:22.480434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
84.0%
20200410 1
 
4.0%
20140507 1
 
4.0%
20200101 1
 
4.0%
20210513 1
 
4.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

전화번호
Text

MISSING 

Distinct14
Distinct (%)66.7%
Missing4
Missing (%)16.0%
Memory size332.0 B
2024-04-30T04:57:22.619631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.095238
Min length7

Characters and Unicode

Total characters233
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)42.9%

Sample

1st row0221226700
2nd row3706-2310
3rd row5158965
4th row02-2272-4001
5th row6323-2900
ValueCountFrequency (%)
02)6960-6114 3
14.3%
02-2288-3354 3
14.3%
02-6410-0325 2
9.5%
070-7816-0137 2
9.5%
02-729-2296 2
9.5%
0221226700 1
 
4.8%
3706-2310 1
 
4.8%
5158965 1
 
4.8%
02-2272-4001 1
 
4.8%
6323-2900 1
 
4.8%
Other values (4) 4
19.0%
2024-04-30T04:57:22.897218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 41
17.6%
2 41
17.6%
- 29
12.4%
6 24
10.3%
3 21
9.0%
1 19
8.2%
7 13
 
5.6%
8 12
 
5.2%
9 11
 
4.7%
4 10
 
4.3%
Other values (2) 12
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 201
86.3%
Dash Punctuation 29
 
12.4%
Close Punctuation 3
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41
20.4%
2 41
20.4%
6 24
11.9%
3 21
10.4%
1 19
9.5%
7 13
 
6.5%
8 12
 
6.0%
9 11
 
5.5%
4 10
 
5.0%
5 9
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 233
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 41
17.6%
2 41
17.6%
- 29
12.4%
6 24
10.3%
3 21
9.0%
1 19
8.2%
7 13
 
5.6%
8 12
 
5.2%
9 11
 
4.7%
4 10
 
4.3%
Other values (2) 12
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 233
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 41
17.6%
2 41
17.6%
- 29
12.4%
6 24
10.3%
3 21
9.0%
1 19
8.2%
7 13
 
5.6%
8 12
 
5.2%
9 11
 
4.7%
4 10
 
4.3%
Other values (2) 12
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

지번주소
Text

Distinct16
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-30T04:57:23.071679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length29
Mean length26.16
Min length15

Characters and Unicode

Total characters654
Distinct characters84
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)40.0%

Sample

1st row서울특별시 중구 수표동 99 시그니쳐타워 서관 15층
2nd row서울특별시 중구 인현동2가 73-1
3rd row서울특별시 중구 남창동 9-1 삼부빌딩
4th row서울특별시 중구 을지로3가 95-14 광덕빌딩 5층
5th row서울특별시 중구 장충동1가 56-85
ValueCountFrequency (%)
서울특별시 25
18.2%
중구 25
18.2%
99 4
 
2.9%
수표동 4
 
2.9%
을지로2가 3
 
2.2%
한화빌딩 3
 
2.2%
다동 3
 
2.2%
시그니쳐타워 3
 
2.2%
203 3
 
2.2%
323 3
 
2.2%
Other values (36) 61
44.5%
2024-04-30T04:57:23.349038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
 
19.0%
서 29
 
4.4%
시 28
 
4.3%
특 25
 
3.8%
별 25
 
3.8%
중 25
 
3.8%
구 25
 
3.8%
울 25
 
3.8%
동 20
 
3.1%
1 17
 
2.6%
Other values (74) 311
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 397
60.7%
Space Separator 124
 
19.0%
Decimal Number 96
 
14.7%
Lowercase Letter 18
 
2.8%
Dash Punctuation 10
 
1.5%
Uppercase Letter 4
 
0.6%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 29
 
7.3%
시 28
 
7.1%
특 25
 
6.3%
별 25
 
6.3%
중 25
 
6.3%
구 25
 
6.3%
울 25
 
6.3%
동 20
 
5.0%
가 13
 
3.3%
로 10
 
2.5%
Other values (50) 172
43.3%
Decimal Number
ValueCountFrequency (%)
1 17
17.7%
5 14
14.6%
2 14
14.6%
3 12
12.5%
9 10
10.4%
4 9
9.4%
7 6
 
6.2%
0 5
 
5.2%
6 5
 
5.2%
8 4
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
e 6
33.3%
n 2
 
11.1%
c 2
 
11.1%
l 2
 
11.1%
a 2
 
11.1%
r 2
 
11.1%
t 2
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
P 2
50.0%
C 2
50.0%
Space Separator
ValueCountFrequency (%)
124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 397
60.7%
Common 235
35.9%
Latin 22
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 29
 
7.3%
시 28
 
7.1%
특 25
 
6.3%
별 25
 
6.3%
중 25
 
6.3%
구 25
 
6.3%
울 25
 
6.3%
동 20
 
5.0%
가 13
 
3.3%
로 10
 
2.5%
Other values (50) 172
43.3%
Common
ValueCountFrequency (%)
124
52.8%
1 17
 
7.2%
5 14
 
6.0%
2 14
 
6.0%
3 12
 
5.1%
- 10
 
4.3%
9 10
 
4.3%
4 9
 
3.8%
7 6
 
2.6%
0 5
 
2.1%
Other values (5) 14
 
6.0%
Latin
ValueCountFrequency (%)
e 6
27.3%
P 2
 
9.1%
n 2
 
9.1%
C 2
 
9.1%
c 2
 
9.1%
l 2
 
9.1%
a 2
 
9.1%
r 2
 
9.1%
t 2
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 397
60.7%
ASCII 257
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
48.2%
1 17
 
6.6%
5 14
 
5.4%
2 14
 
5.4%
3 12
 
4.7%
- 10
 
3.9%
9 10
 
3.9%
4 9
 
3.5%
7 6
 
2.3%
e 6
 
2.3%
Other values (14) 35
 
13.6%
Hangul
ValueCountFrequency (%)
서 29
 
7.3%
시 28
 
7.1%
특 25
 
6.3%
별 25
 
6.3%
중 25
 
6.3%
구 25
 
6.3%
울 25
 
6.3%
동 20
 
5.0%
가 13
 
3.3%
로 10
 
2.5%
Other values (50) 172
43.3%

도로명주소
Text

MISSING 

Distinct17
Distinct (%)77.3%
Missing3
Missing (%)12.0%
Memory size332.0 B
2024-04-30T04:57:23.559920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length35.818182
Min length25

Characters and Unicode

Total characters788
Distinct characters100
Distinct categories9 ?
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 (%)59.1%

Sample

1st row서울특별시 중구 마른내로 71 (인현동2가)
2nd row서울특별시 중구 퇴계로 63, 삼부빌딩 (남창동)
3rd row서울특별시 중구 을지로11길 18 (을지로3가,광덕빌딩 5층)
4th row서울특별시 중구 을지로12길 28 (저동2가)
5th row서울특별시 중구 청계천로 100 (수표동, 스그니켜타워 동관 16층)
ValueCountFrequency (%)
서울특별시 22
 
14.2%
중구 22
 
14.2%
을지로 6
 
3.9%
100 5
 
3.2%
6층 4
 
2.6%
청계천로 4
 
2.6%
을지로4가 3
 
1.9%
을지로2가 3
 
1.9%
다동 3
 
1.9%
5층 3
 
1.9%
Other values (49) 80
51.6%
2024-04-30T04:57:23.862341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135
 
17.1%
로 32
 
4.1%
1 26
 
3.3%
서 25
 
3.2%
) 24
 
3.0%
( 24
 
3.0%
시 23
 
2.9%
, 23
 
2.9%
동 22
 
2.8%
울 22
 
2.8%
Other values (90) 432
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 453
57.5%
Space Separator 135
 
17.1%
Decimal Number 101
 
12.8%
Close Punctuation 24
 
3.0%
Open Punctuation 24
 
3.0%
Other Punctuation 23
 
2.9%
Lowercase Letter 18
 
2.3%
Uppercase Letter 8
 
1.0%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 32
 
7.1%
서 25
 
5.5%
시 23
 
5.1%
동 22
 
4.9%
울 22
 
4.9%
구 22
 
4.9%
특 22
 
4.9%
중 22
 
4.9%
별 22
 
4.9%
지 15
 
3.3%
Other values (64) 226
49.9%
Decimal Number
ValueCountFrequency (%)
1 26
25.7%
0 20
19.8%
2 12
11.9%
4 11
10.9%
6 9
 
8.9%
5 8
 
7.9%
8 6
 
5.9%
7 4
 
4.0%
3 3
 
3.0%
9 2
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
33.3%
l 2
 
11.1%
c 2
 
11.1%
a 2
 
11.1%
r 2
 
11.1%
t 2
 
11.1%
n 2
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
A 3
37.5%
P 2
25.0%
C 2
25.0%
B 1
 
12.5%
Space Separator
ValueCountFrequency (%)
135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 453
57.5%
Common 309
39.2%
Latin 26
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 32
 
7.1%
서 25
 
5.5%
시 23
 
5.1%
동 22
 
4.9%
울 22
 
4.9%
구 22
 
4.9%
특 22
 
4.9%
중 22
 
4.9%
별 22
 
4.9%
지 15
 
3.3%
Other values (64) 226
49.9%
Common
ValueCountFrequency (%)
135
43.7%
1 26
 
8.4%
) 24
 
7.8%
( 24
 
7.8%
, 23
 
7.4%
0 20
 
6.5%
2 12
 
3.9%
4 11
 
3.6%
6 9
 
2.9%
5 8
 
2.6%
Other values (5) 17
 
5.5%
Latin
ValueCountFrequency (%)
e 6
23.1%
A 3
11.5%
l 2
 
7.7%
c 2
 
7.7%
a 2
 
7.7%
r 2
 
7.7%
P 2
 
7.7%
t 2
 
7.7%
n 2
 
7.7%
C 2
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 453
57.5%
ASCII 335
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
135
40.3%
1 26
 
7.8%
) 24
 
7.2%
( 24
 
7.2%
, 23
 
6.9%
0 20
 
6.0%
2 12
 
3.6%
4 11
 
3.3%
6 9
 
2.7%
5 8
 
2.4%
Other values (16) 43
 
12.8%
Hangul
ValueCountFrequency (%)
로 32
 
7.1%
서 25
 
5.5%
시 23
 
5.1%
동 22
 
4.9%
울 22
 
4.9%
구 22
 
4.9%
특 22
 
4.9%
중 22
 
4.9%
별 22
 
4.9%
지 15
 
3.3%
Other values (64) 226
49.9%

도로명우편번호
Text

MISSING 

Distinct11
Distinct (%)57.9%
Missing6
Missing (%)24.0%
Memory size332.0 B
2024-04-30T04:57:24.010510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1578947
Min length5

Characters and Unicode

Total characters98
Distinct characters10
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

Unique5 ?
Unique (%)26.3%

Sample

1st row04529
2nd row100032
3rd row100-230
4th row04551
5th row04527
ValueCountFrequency (%)
04551 3
15.8%
04548 3
15.8%
04527 2
10.5%
04522 2
10.5%
04559 2
10.5%
04541 2
10.5%
04529 1
 
5.3%
100032 1
 
5.3%
100-230 1
 
5.3%
04515 1
 
5.3%
2024-04-30T04:57:24.268332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 23
23.5%
4 23
23.5%
5 23
23.5%
2 10
10.2%
1 8
 
8.2%
8 3
 
3.1%
9 3
 
3.1%
7 2
 
2.0%
3 2
 
2.0%
- 1
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 97
99.0%
Dash Punctuation 1
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23
23.7%
4 23
23.7%
5 23
23.7%
2 10
10.3%
1 8
 
8.2%
8 3
 
3.1%
9 3
 
3.1%
7 2
 
2.1%
3 2
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 98
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 23
23.5%
4 23
23.5%
5 23
23.5%
2 10
10.2%
1 8
 
8.2%
8 3
 
3.1%
9 3
 
3.1%
7 2
 
2.0%
3 2
 
2.0%
- 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 98
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23
23.5%
4 23
23.5%
5 23
23.5%
2 10
10.2%
1 8
 
8.2%
8 3
 
3.1%
9 3
 
3.1%
7 2
 
2.0%
3 2
 
2.0%
- 1
 
1.0%

사업장명
Text

Distinct18
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-30T04:57:24.425763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length9.52
Min length5

Characters and Unicode

Total characters238
Distinct characters73
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)52.0%

Sample

1st row(주)동양
2nd row동부엔지니어링(주)
3rd row삼부토건(주)
4th row오엑스엔지니어링(주)
5th row신세계건설(주)
ValueCountFrequency (%)
주)대우건설 3
 
10.7%
세아stx엔테크주식회사 3
 
10.7%
주)동양 2
 
7.1%
주)한화 2
 
7.1%
동림글로벌(주 2
 
7.1%
에코이앤오주식회사 1
 
3.6%
한화시스템(주 1
 
3.6%
주식회사(대기 1
 
3.6%
자이에너지운영 1
 
3.6%
한솔제지(주 1
 
3.6%
Other values (11) 11
39.3%
2024-04-30T04:57:24.732666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 24
 
10.1%
( 19
 
8.0%
) 19
 
8.0%
아 7
 
2.9%
식 6
 
2.5%
건 6
 
2.5%
사 6
 
2.5%
지 6
 
2.5%
회 6
 
2.5%
한 5
 
2.1%
Other values (63) 134
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 185
77.7%
Open Punctuation 19
 
8.0%
Close Punctuation 19
 
8.0%
Uppercase Letter 12
 
5.0%
Space Separator 3
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 24
 
13.0%
아 7
 
3.8%
식 6
 
3.2%
건 6
 
3.2%
사 6
 
3.2%
지 6
 
3.2%
회 6
 
3.2%
한 5
 
2.7%
동 5
 
2.7%
엔 5
 
2.7%
Other values (55) 109
58.9%
Uppercase Letter
ValueCountFrequency (%)
T 4
33.3%
X 3
25.0%
S 3
25.0%
I 1
 
8.3%
C 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 185
77.7%
Common 41
 
17.2%
Latin 12
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 24
 
13.0%
아 7
 
3.8%
식 6
 
3.2%
건 6
 
3.2%
사 6
 
3.2%
지 6
 
3.2%
회 6
 
3.2%
한 5
 
2.7%
동 5
 
2.7%
엔 5
 
2.7%
Other values (55) 109
58.9%
Latin
ValueCountFrequency (%)
T 4
33.3%
X 3
25.0%
S 3
25.0%
I 1
 
8.3%
C 1
 
8.3%
Common
ValueCountFrequency (%)
( 19
46.3%
) 19
46.3%
3
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 185
77.7%
ASCII 53
 
22.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 24
 
13.0%
아 7
 
3.8%
식 6
 
3.2%
건 6
 
3.2%
사 6
 
3.2%
지 6
 
3.2%
회 6
 
3.2%
한 5
 
2.7%
동 5
 
2.7%
엔 5
 
2.7%
Other values (55) 109
58.9%
ASCII
ValueCountFrequency (%)
( 19
35.8%
) 19
35.8%
T 4
 
7.5%
3
 
5.7%
X 3
 
5.7%
S 3
 
5.7%
I 1
 
1.9%
C 1
 
1.9%

최종수정일자
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2010-08-23 10:46:59
Maximum2024-02-20 18:03:53
2024-04-30T04:57:24.858920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:57:24.952218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
U
15 
I
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 15
60.0%
I 10
40.0%

Length

2024-04-30T04:57:25.040623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:25.116749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 15
60.0%
i 10
40.0%

데이터갱신일자
Date

Distinct17
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2019-03-30 02:20:09
Maximum2023-12-01 22:02:00
2024-04-30T04:57:25.193024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:57:25.296144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

업태구분명
Text

MISSING 

Distinct4
Distinct (%)66.7%
Missing19
Missing (%)76.0%
Memory size332.0 B
2024-04-30T04:57:25.437431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14.5
Mean length11.333333
Min length6

Characters and Unicode

Total characters68
Distinct characters22
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 (%)33.3%

Sample

1st row종합 건설업
2nd row건물 건설업
3rd row건물 건설업
4th row환경컨설팅 및 관련 엔지니어링 서비스업
5th row환경컨설팅 및 관련 엔지니어링 서비스업
ValueCountFrequency (%)
건설업 4
22.2%
건물 2
11.1%
환경컨설팅 2
11.1%
및 2
11.1%
관련 2
11.1%
엔지니어링 2
11.1%
서비스업 2
11.1%
종합 1
 
5.6%
환경설비 1
 
5.6%
2024-04-30T04:57:25.688625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
17.6%
설 7
 
10.3%
건 6
 
8.8%
업 6
 
8.8%
환 3
 
4.4%
경 3
 
4.4%
비 3
 
4.4%
지 2
 
2.9%
스 2
 
2.9%
서 2
 
2.9%
Other values (12) 22
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56
82.4%
Space Separator 12
 
17.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 7
 
12.5%
건 6
 
10.7%
업 6
 
10.7%
환 3
 
5.4%
경 3
 
5.4%
비 3
 
5.4%
지 2
 
3.6%
스 2
 
3.6%
서 2
 
3.6%
링 2
 
3.6%
Other values (11) 20
35.7%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56
82.4%
Common 12
 
17.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
설 7
 
12.5%
건 6
 
10.7%
업 6
 
10.7%
환 3
 
5.4%
경 3
 
5.4%
비 3
 
5.4%
지 2
 
3.6%
스 2
 
3.6%
서 2
 
3.6%
링 2
 
3.6%
Other values (11) 20
35.7%
Common
ValueCountFrequency (%)
12
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56
82.4%
ASCII 12
 
17.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
100.0%
Hangul
ValueCountFrequency (%)
설 7
 
12.5%
건 6
 
10.7%
업 6
 
10.7%
환 3
 
5.4%
경 3
 
5.4%
비 3
 
5.4%
지 2
 
3.6%
스 2
 
3.6%
서 2
 
3.6%
링 2
 
3.6%
Other values (11) 20
35.7%

좌표정보(X)
Real number (ℝ)

Distinct13
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198870.07
Minimum197613
Maximum200476.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-30T04:57:25.788815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197613
5-th percentile197613
Q1198193.53
median198916.65
Q3199550.51
95-th percentile199810.59
Maximum200476.34
Range2863.3461
Interquartile range (IQR)1356.9719

Descriptive statistics

Standard deviation775.26152
Coefficient of variation (CV)0.0038983319
Kurtosis-0.50502442
Mean198870.07
Median Absolute Deviation (MAD)723.11908
Skewness-0.10394541
Sum4971751.7
Variance601030.42
MonotonicityNot monotonic
2024-04-30T04:57:25.883142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
198916.653480187 4
16.0%
198921.241301241 3
12.0%
197612.995083649 3
12.0%
199647.750199088 3
12.0%
198193.534402364 2
8.0%
199810.591813598 2
8.0%
198744.433228989 2
8.0%
199550.506270874 1
 
4.0%
198070.105261557 1
 
4.0%
199132.510804992 1
 
4.0%
Other values (3) 3
12.0%
ValueCountFrequency (%)
197612.995083649 3
12.0%
197715.30507656 1
 
4.0%
198070.105261557 1
 
4.0%
198193.534402364 2
8.0%
198744.433228989 2
8.0%
198916.653480187 4
16.0%
198921.241301241 3
12.0%
199097.202118087 1
 
4.0%
199132.510804992 1
 
4.0%
199550.506270874 1
 
4.0%
ValueCountFrequency (%)
200476.341193674 1
 
4.0%
199810.591813598 2
8.0%
199647.750199088 3
12.0%
199550.506270874 1
 
4.0%
199132.510804992 1
 
4.0%
199097.202118087 1
 
4.0%
198921.241301241 3
12.0%
198916.653480187 4
16.0%
198744.433228989 2
8.0%
198193.534402364 2
8.0%

좌표정보(Y)
Real number (ℝ)

Distinct13
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean451373.91
Minimum450539.86
Maximum451694.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-30T04:57:25.983135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450539.86
5-th percentile450539.86
Q1451300.6
median451495.99
Q3451655.77
95-th percentile451694.84
Maximum451694.84
Range1154.9852
Interquartile range (IQR)355.175

Descriptive statistics

Standard deviation387.25223
Coefficient of variation (CV)0.00085794109
Kurtosis0.55468922
Mean451373.91
Median Absolute Deviation (MAD)181.07977
Skewness-1.3414758
Sum11284348
Variance149964.29
MonotonicityNot monotonic
2024-04-30T04:57:26.076687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
451694.842893728 4
16.0%
451495.985361171 3
12.0%
450539.857693464 3
12.0%
451566.579232622 3
12.0%
451650.955791238 2
8.0%
451300.59780961 2
8.0%
451677.065126229 2
8.0%
451392.219693582 1
 
4.0%
450815.270014456 1
 
4.0%
451655.772813663 1
 
4.0%
Other values (3) 3
12.0%
ValueCountFrequency (%)
450539.857693464 3
12.0%
450815.270014456 1
 
4.0%
450937.189817554 1
 
4.0%
451272.640929856 1
 
4.0%
451300.59780961 2
8.0%
451392.219693582 1
 
4.0%
451430.878321634 1
 
4.0%
451495.985361171 3
12.0%
451566.579232622 3
12.0%
451650.955791238 2
8.0%
ValueCountFrequency (%)
451694.842893728 4
16.0%
451677.065126229 2
8.0%
451655.772813663 1
 
4.0%
451650.955791238 2
8.0%
451566.579232622 3
12.0%
451495.985361171 3
12.0%
451430.878321634 1
 
4.0%
451392.219693582 1
 
4.0%
451300.59780961 2
8.0%
451272.640929856 1
 
4.0%

실험실면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

사업장구분명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
13 
환경전문공사업
12 

Length

Max length7
Median length4
Mean length5.44
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 13
52.0%
환경전문공사업 12
48.0%

Length

2024-04-30T04:57:26.174607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:26.254134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
52.0%
환경전문공사업 12
48.0%

영업소면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
24 
678
 
1

Length

Max length4
Median length4
Mean length3.96
Min length3

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
96.0%
678 1
 
4.0%

Length

2024-04-30T04:57:26.343800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:26.427422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
96.0%
678 1
 
4.0%

위탁업체명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing24
Missing (%)96.0%
Memory size332.0 B
2024-04-30T04:57:26.534554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters14
Distinct characters14
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)한국종합공해시험연구소
ValueCountFrequency (%)
주)한국종합공해시험연구소 1
100.0%
2024-04-30T04:57:26.960815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 1
 
7.1%
주 1
 
7.1%
) 1
 
7.1%
한 1
 
7.1%
국 1
 
7.1%
종 1
 
7.1%
합 1
 
7.1%
공 1
 
7.1%
해 1
 
7.1%
시 1
 
7.1%
Other values (4) 4
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
85.7%
Open Punctuation 1
 
7.1%
Close Punctuation 1
 
7.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1
8.3%
한 1
8.3%
국 1
8.3%
종 1
8.3%
합 1
8.3%
공 1
8.3%
해 1
8.3%
시 1
8.3%
험 1
8.3%
연 1
8.3%
Other values (2) 2
16.7%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
85.7%
Common 2
 
14.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1
8.3%
한 1
8.3%
국 1
8.3%
종 1
8.3%
합 1
8.3%
공 1
8.3%
해 1
8.3%
시 1
8.3%
험 1
8.3%
연 1
8.3%
Other values (2) 2
16.7%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
85.7%
ASCII 2
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%
Hangul
ValueCountFrequency (%)
주 1
8.3%
한 1
8.3%
국 1
8.3%
종 1
8.3%
합 1
8.3%
공 1
8.3%
해 1
8.3%
시 1
8.3%
험 1
8.3%
연 1
8.3%
Other values (2) 2
16.7%

실험실지역코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
1153010700
 
1
1154510100
 
1
4159011600
 
1

Length

Max length10
Median length4
Mean length4.72
Min length4

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row<NA>
2nd row<NA>
3rd row1153010700
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
1153010700 1
 
4.0%
1154510100 1
 
4.0%
4159011600 1
 
4.0%

Length

2024-04-30T04:57:27.064852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:27.159719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
1153010700 1
 
4.0%
1154510100 1
 
4.0%
4159011600 1
 
4.0%

실험실우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

실험실산
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
1
3 

Length

Max length4
Median length4
Mean length3.64
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
1 3
 
12.0%

Length

2024-04-30T04:57:27.249543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:27.326903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
1 3
 
12.0%

실험실번지
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
170
 
1
345
 
1
859
 
1

Length

Max length4
Median length4
Mean length3.88
Min length3

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row<NA>
2nd row<NA>
3rd row170
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
170 1
 
4.0%
345 1
 
4.0%
859 1
 
4.0%

Length

2024-04-30T04:57:27.405312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:27.486236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
170 1
 
4.0%
345 1
 
4.0%
859 1
 
4.0%

실험실호
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
33
 
1
30
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.72
Min length1

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row<NA>
2nd row<NA>
3rd row33
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
33 1
 
4.0%
30 1
 
4.0%
1 1
 
4.0%

Length

2024-04-30T04:57:27.574806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:27.664535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
33 1
 
4.0%
30 1
 
4.0%
1 1
 
4.0%

실험실통
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

실험실반
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

실험실특수주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing24
Missing (%)96.0%
Memory size332.0 B
2024-04-30T04:57:27.759511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters8
Distinct characters8
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 row남성프라자 10
ValueCountFrequency (%)
남성프라자 1
50.0%
10 1
50.0%
2024-04-30T04:57:28.000796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
남 1
12.5%
성 1
12.5%
프 1
12.5%
라 1
12.5%
자 1
12.5%
1
12.5%
1 1
12.5%
0 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
62.5%
Decimal Number 2
 
25.0%
Space Separator 1
 
12.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 1
20.0%
성 1
20.0%
프 1
20.0%
라 1
20.0%
자 1
20.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
62.5%
Common 3
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 1
20.0%
성 1
20.0%
프 1
20.0%
라 1
20.0%
자 1
20.0%
Common
ValueCountFrequency (%)
1
33.3%
1 1
33.3%
0 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
62.5%
ASCII 3
37.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
남 1
20.0%
성 1
20.0%
프 1
20.0%
라 1
20.0%
자 1
20.0%
ASCII
ValueCountFrequency (%)
1
33.3%
1 1
33.3%
0 1
33.3%

실험실특수주소동
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

실험실특수주소호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

실험실도로명주소시군구코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
11530
 
1
11545
 
1
41590
 
1

Length

Max length5
Median length4
Mean length4.12
Min length4

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row<NA>
2nd row<NA>
3rd row11530
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
11530 1
 
4.0%
11545 1
 
4.0%
41590 1
 
4.0%

Length

2024-04-30T04:57:28.111214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:28.208466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
11530 1
 
4.0%
11545 1
 
4.0%
41590 1
 
4.0%

실험실도로명주소읍면동코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
1153010700
 
1
1154510100
 
1
4159011600
 
1

Length

Max length10
Median length4
Mean length4.72
Min length4

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row<NA>
2nd row<NA>
3rd row1153010700
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
1153010700 1
 
4.0%
1154510100 1
 
4.0%
4159011600 1
 
4.0%

Length

2024-04-30T04:57:28.355716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:28.486614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
1153010700 1
 
4.0%
1154510100 1
 
4.0%
4159011600 1
 
4.0%

실험실도로명주소읍면동구분
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
1
3 

Length

Max length4
Median length4
Mean length3.64
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
1 3
 
12.0%

Length

2024-04-30T04:57:28.647517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:28.782166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
1 3
 
12.0%

실험실도로명주소코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
3000028
 
1
3000026
 
1
4430562
 
1

Length

Max length7
Median length4
Mean length4.36
Min length4

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row<NA>
2nd row<NA>
3rd row3000028
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
3000028 1
 
4.0%
3000026 1
 
4.0%
4430562 1
 
4.0%

Length

2024-04-30T04:57:28.923861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:29.068920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
3000028 1
 
4.0%
3000026 1
 
4.0%
4430562 1
 
4.0%

실험실도로명특수주소
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing22
Missing (%)88.0%
Memory size332.0 B
2024-04-30T04:57:29.227241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length10
Min length5

Characters and Unicode

Total characters30
Distinct characters20
Distinct categories5 ?
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 (%)100.0%

Sample

1st row(개봉동)
2nd row남성프라자 10층 (가산동)
3rd row201호 (진안동)
ValueCountFrequency (%)
개봉동 1
16.7%
남성프라자 1
16.7%
10층 1
16.7%
가산동 1
16.7%
201호 1
16.7%
진안동 1
16.7%
2024-04-30T04:57:29.502186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 3
 
10.0%
동 3
 
10.0%
) 3
 
10.0%
3
 
10.0%
1 2
 
6.7%
0 2
 
6.7%
봉 1
 
3.3%
남 1
 
3.3%
성 1
 
3.3%
프 1
 
3.3%
Other values (10) 10
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16
53.3%
Decimal Number 5
 
16.7%
Open Punctuation 3
 
10.0%
Close Punctuation 3
 
10.0%
Space Separator 3
 
10.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3
18.8%
봉 1
 
6.2%
남 1
 
6.2%
성 1
 
6.2%
프 1
 
6.2%
라 1
 
6.2%
자 1
 
6.2%
개 1
 
6.2%
층 1
 
6.2%
가 1
 
6.2%
Other values (4) 4
25.0%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
0 2
40.0%
2 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16
53.3%
Common 14
46.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3
18.8%
봉 1
 
6.2%
남 1
 
6.2%
성 1
 
6.2%
프 1
 
6.2%
라 1
 
6.2%
자 1
 
6.2%
개 1
 
6.2%
층 1
 
6.2%
가 1
 
6.2%
Other values (4) 4
25.0%
Common
ValueCountFrequency (%)
( 3
21.4%
) 3
21.4%
3
21.4%
1 2
14.3%
0 2
14.3%
2 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16
53.3%
ASCII 14
46.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 3
21.4%
) 3
21.4%
3
21.4%
1 2
14.3%
0 2
14.3%
2 1
 
7.1%
Hangul
ValueCountFrequency (%)
동 3
18.8%
봉 1
 
6.2%
남 1
 
6.2%
성 1
 
6.2%
프 1
 
6.2%
라 1
 
6.2%
자 1
 
6.2%
개 1
 
6.2%
층 1
 
6.2%
가 1
 
6.2%
Other values (4) 4
25.0%

실험실도로명주소건물층구분
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
0 3
 
12.0%

Length

2024-04-30T04:57:29.626380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:29.709753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

실험실도로명주소건물본번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
352
 
1
130
 
1
39
 
1

Length

Max length4
Median length4
Mean length3.84
Min length2

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row<NA>
2nd row<NA>
3rd row352
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
88.0%
352 1
 
4.0%
130 1
 
4.0%
39 1
 
4.0%

Length

2024-04-30T04:57:29.804810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:29.897885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
352 1
 
4.0%
130 1
 
4.0%
39 1
 
4.0%

실험실도로명주소건물부번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

실험실도로명주소우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
23 
8589
 
1
18392
 
1

Length

Max length5
Median length4
Mean length4.04
Min length4

Unique

Unique2 ?
Unique (%)8.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
92.0%
8589 1
 
4.0%
18392 1
 
4.0%

Length

2024-04-30T04:57:30.000244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:57:30.098478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
92.0%
8589 1
 
4.0%
18392 1
 
4.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
0301000030100006719920000119921204<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 수표동 99 시그니쳐타워 서관 15층<NA><NA>(주)동양2018-01-31 10:30:34I2019-03-30 02:20:09.0<NA>198916.65348451694.842894<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1301000030100006719930000819930621<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0221226700<NA><NA>서울특별시 중구 인현동2가 73-1서울특별시 중구 마른내로 71 (인현동2가)<NA>동부엔지니어링(주)2010-08-23 10:46:59I2019-03-30 02:20:09.0<NA>199550.506271451392.219694<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2301000030100006720100000120100807<NA>3폐업2폐업20200410<NA><NA><NA>3706-2310<NA><NA>서울특별시 중구 남창동 9-1 삼부빌딩서울특별시 중구 퇴계로 63, 삼부빌딩 (남창동)04529삼부토건(주)2020-04-10 09:27:58U2020-04-12 02:40:00.0<NA>198070.105262450815.270014<NA>환경전문공사업<NA>(주)한국종합공해시험연구소1153010700<NA>117033<NA><NA><NA><NA><NA>11530115301070013000028(개봉동)0352<NA><NA>
3301000030100006720100000220100820<NA>1영업/정상BBBB영업<NA><NA><NA><NA>5158965<NA><NA>서울특별시 중구 을지로3가 95-14 광덕빌딩 5층서울특별시 중구 을지로11길 18 (을지로3가,광덕빌딩 5층)<NA>오엑스엔지니어링(주)2011-12-21 13:58:27I2019-03-30 02:20:09.0<NA>199132.510805451655.772814<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
430100003010000672011000012011-06-28<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 장충동1가 56-85<NA><NA>신세계건설(주)2023-04-17 14:17:32U2022-12-03 23:09:00.0<NA>200476.341194450937.189818<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5301000030100006720110000220111214<NA>3폐업2폐업20140507<NA><NA><NA>02-2272-4001<NA><NA>서울특별시 중구 저동2가 7-2 4층서울특별시 중구 을지로12길 28 (저동2가)100032유일환경건설(주)2014-05-07 17:52:29I2019-03-30 02:20:09.0<NA>199097.202118451430.878322<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
630100003010000672012000012012-08-03<NA>1영업/정상BBBB영업<NA><NA><NA><NA>6323-2900<NA><NA>서울특별시 중구 수표동 99서울특별시 중구 청계천로 100 (수표동, 스그니켜타워 동관 16층)100-230베올리아워터솔루션앤테크놀러지스코리아2023-12-22 18:03:03U2022-11-01 22:04:00.0<NA>198916.65348451694.842894<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7301000030100006720140000120141203<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 수표동 99 시그니쳐타워 서관 15층<NA><NA>(주)동양2018-03-08 08:38:31I2019-03-30 02:20:09.0<NA>198916.65348451694.842894<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8301000030100006720150000120150216<NA>3폐업2폐업20200101<NA><NA><NA>63133658<NA><NA>서울특별시 중구 을지로2가 203 파인에비뉴서울특별시 중구 을지로 100, 파인에비뉴 B동 14층 (을지로2가)04551한화에스앤씨(주)2022-11-07 17:17:02U2021-11-01 00:09:00.0<NA>198921.241301451495.985361<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9301000030100006720180000120180906<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02)6960-6114<NA><NA>서울특별시 중구 남대문로5가 84-11 연세대학교 세브란스빌딩 6층서울특별시 중구 통일로 10, 연세대학교 세브란스빌딩 6층 (남대문로5가)04527세아STX엔테크주식회사2018-09-06 16:30:41I2019-03-30 02:20:09.0<NA>197612.995084450539.857693<NA>환경전문공사업<NA><NA>1154510100<NA>134530<NA><NA>남성프라자 10<NA><NA>11545115451010013000026남성프라자 10층 (가산동)0130<NA>8589
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)실험실면적사업장구분명영업소면적위탁업체명실험실지역코드실험실우편번호실험실산실험실번지실험실호실험실통실험실반실험실특수주소실험실특수주소동실험실특수주소호실험실도로명주소시군구코드실험실도로명주소읍면동코드실험실도로명주소읍면동구분실험실도로명주소코드실험실도로명특수주소실험실도로명주소건물층구분실험실도로명주소건물본번호실험실도로명주소건물부번호실험실도로명주소우편번호
15301000030100006720190001520190620<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-2288-3354<NA><NA>서울특별시 중구 을지로4가 323서울특별시 중구 을지로 170, 써밋타워 (을지로4가)04548(주)대우건설2022-04-07 09:37:36U2021-12-04 00:09:00.0건물 건설업199647.750199451566.579233<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
16301000030100006720190001620190620<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-2288-3354<NA><NA>서울특별시 중구 을지로4가 323서울특별시 중구 을지로 170, A동 (을지로4가)04548(주)대우건설2022-04-07 09:37:19U2021-12-04 00:09:00.0건물 건설업199647.750199451566.579233<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
17301000030100006720200000120200327<NA>3폐업2폐업20210513<NA><NA><NA>02-6749-3018<NA><NA>서울특별시 중구 서소문동 34 서소문 한화빌딩서울특별시 중구 서소문로 125, 서소문 한화빌딩 6층 (서소문동)04515에코이앤오주식회사2021-05-18 09:38:19U2021-05-20 02:40:00.0<NA>197715.305077451272.64093<NA>환경전문공사업678<NA>4159011600<NA>18591<NA><NA><NA><NA><NA>41590415901160014430562201호 (진안동)039<NA>18392
18301000030100006720200000220200506<NA>1영업/정상BBBB영업<NA><NA><NA><NA>070-7816-0137<NA><NA>서울특별시 중구 예관동 70-27 동림비즈센터서울특별시 중구 창경궁로 18-1, 동림비즈센터 4층 402호 (예관동)04559동림글로벌(주)2020-05-06 17:34:44I2020-05-08 00:23:40.0환경컨설팅 및 관련 엔지니어링 서비스업199810.591814451300.59781<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19301000030100006720200000320200506<NA>1영업/정상BBBB영업<NA><NA><NA><NA>070-7816-0137<NA><NA>서울특별시 중구 예관동 70-27 동림비즈센터서울특별시 중구 창경궁로 18-1, 동림비즈센터 4층 402호 (예관동)04559동림글로벌(주)2020-05-07 08:37:58I2020-05-09 00:23:20.0환경컨설팅 및 관련 엔지니어링 서비스업199810.591814451300.59781<NA>환경전문공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20301000030100006720200000420201031<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-6323-2900<NA><NA>서울특별시 중구 수표동 99 시그니쳐타워, 동관16층 동관호서울특별시 중구 청계천로 100, 시그니쳐타워,동관16층 동관호 (수표동)04542베올리아산업개발코리아 주식회사2022-11-21 15:40:39U2021-10-31 22:03:00.0<NA>198916.65348451694.842894<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2130100003010000672022000012022-11-04<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-729-2296<NA><NA>서울특별시 중구 장교동 1 한화빌딩서울특별시 중구 청계천로 86, 한화빌딩 (장교동)04541(주)한화2023-05-11 13:18:24U2022-12-04 23:04:00.0환경설비 건설업198744.433229451677.065126<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2230100003010000672022000022022-11-09<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-729-2296<NA><NA>서울특별시 중구 장교동 1 한화빌딩서울특별시 중구 청계천로 86, 한화빌딩 (장교동)04541(주)한화2024-02-20 18:03:53U2023-12-01 22:02:00.0<NA>198744.433229451677.065126<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2330100003010000672022000032022-12-08<NA>5제외/삭제/전출5제외사항<NA><NA><NA><NA>0232876100<NA><NA>서울특별시 중구 을지로2가 203 파인에비뉴서울특별시 중구 을지로 100, 파인에비뉴 24층 (을지로2가)04551한솔제지(주)2023-10-19 09:25:58U2022-10-30 22:01:00.0<NA>198921.241301451495.985361<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2430100003010000672023000012023-11-14<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 을지로2가 203 파인에비뉴서울특별시 중구 을지로 100, 파인에비뉴 A동 5,12,13층 (을지로2가)04551한화시스템(주) ICT부문2023-11-28 15:29:07U2022-10-31 21:00:00.0<NA>198921.241301451495.985361<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>