Overview

Dataset statistics

Number of variables29
Number of observations23
Missing cells223
Missing cells (%)33.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory255.7 B

Variable types

Categorical8
Text5
DateTime3
Unsupported8
Numeric5

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),전문인력총수,자본금,시설장비,타기관이전여부
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-19145/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (56.3%)Imbalance
폐업일자 has 23 (100.0%) 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 23 (100.0%) missing valuesMissing
소재지면적 has 23 (100.0%) missing valuesMissing
소재지우편번호 has 23 (100.0%) missing valuesMissing
지번주소 has 2 (8.7%) missing valuesMissing
도로명주소 has 1 (4.3%) missing valuesMissing
도로명우편번호 has 14 (60.9%) missing valuesMissing
업태구분명 has 23 (100.0%) missing valuesMissing
좌표정보(X) has 1 (4.3%) missing valuesMissing
좌표정보(Y) has 1 (4.3%) missing valuesMissing
전문인력총수 has 4 (17.4%) missing valuesMissing
자본금 has 5 (21.7%) missing valuesMissing
시설장비 has 11 (47.8%) missing valuesMissing
관리번호 has unique valuesUnique
폐업일자 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
전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전문인력총수 has 5 (21.7%) zerosZeros
자본금 has 4 (17.4%) zerosZeros

Reproduction

Analysis started2024-04-06 10:42:48.429751
Analysis finished2024-04-06 10:42:49.110884
Duration0.68 seconds
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
3180000
23 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 23
100.0%

Length

2024-04-06T19:42:49.299137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:42:49.469902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 23
100.0%

관리번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-06T19:42:49.711055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters437
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st rowC001077267406000000
2nd rowC001101110229628L00
3rd rowC001101110249709L00
4th rowC001101110425622L00
5th rowC001101110560650L00
ValueCountFrequency (%)
c001077267406000000 1
 
4.3%
c001101114535146l00 1
 
4.3%
c005205121629817000 1
 
4.3%
c004307231068916000 1
 
4.3%
c001940800903000000 1
 
4.3%
c001348110018152l00 1
 
4.3%
c001181364979000000 1
 
4.3%
c001102210016113000 1
 
4.3%
c001101117815842l00 1
 
4.3%
c001101117562675l00 1
 
4.3%
Other values (13) 13
56.5%
2024-04-06T19:42:50.242486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 159
36.4%
1 107
24.5%
2 24
 
5.5%
C 23
 
5.3%
6 20
 
4.6%
4 19
 
4.3%
9 16
 
3.7%
L 16
 
3.7%
5 15
 
3.4%
8 14
 
3.2%
Other values (2) 24
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 398
91.1%
Uppercase Letter 39
 
8.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 159
39.9%
1 107
26.9%
2 24
 
6.0%
6 20
 
5.0%
4 19
 
4.8%
9 16
 
4.0%
5 15
 
3.8%
8 14
 
3.5%
7 13
 
3.3%
3 11
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
C 23
59.0%
L 16
41.0%

Most occurring scripts

ValueCountFrequency (%)
Common 398
91.1%
Latin 39
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 159
39.9%
1 107
26.9%
2 24
 
6.0%
6 20
 
5.0%
4 19
 
4.8%
9 16
 
4.0%
5 15
 
3.8%
8 14
 
3.5%
7 13
 
3.3%
3 11
 
2.8%
Latin
ValueCountFrequency (%)
C 23
59.0%
L 16
41.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 437
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 159
36.4%
1 107
24.5%
2 24
 
5.5%
C 23
 
5.3%
6 20
 
4.6%
4 19
 
4.3%
9 16
 
3.7%
L 16
 
3.7%
5 15
 
3.4%
8 14
 
3.2%
Other values (2) 24
 
5.5%

인허가일자
Date

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum1998-01-15 00:00:00
Maximum2024-01-09 00:00:00
2024-04-06T19:42:50.461073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:42:50.753889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

인허가취소일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
19 
20211125
 
1
20080404
 
1
20050929
 
1
20141203
 
1

Length

Max length8
Median length4
Mean length4.6956522
Min length4

Unique

Unique4 ?
Unique (%)17.4%

Sample

1st row<NA>
2nd row<NA>
3rd row20211125
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 19
82.6%
20211125 1
 
4.3%
20080404 1
 
4.3%
20050929 1
 
4.3%
20141203 1
 
4.3%

Length

2024-04-06T19:42:51.034383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:42:51.291648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
82.6%
20211125 1
 
4.3%
20080404 1
 
4.3%
20050929 1
 
4.3%
20141203 1
 
4.3%

영업상태코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
1
18 
3
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 18
78.3%
3 5
 
21.7%

Length

2024-04-06T19:42:51.470856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:42:51.615893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 18
78.3%
3 5
 
21.7%

영업상태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
영업/정상
18 
폐업
5 

Length

Max length5
Median length5
Mean length4.3478261
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 18
78.3%
폐업 5
 
21.7%

Length

2024-04-06T19:42:52.167479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:42:52.340808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 18
78.3%
폐업 5
 
21.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
1
18 
2
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 18
78.3%
2 5
 
21.7%

Length

2024-04-06T19:42:52.511734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:42:52.675964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 18
78.3%
2 5
 
21.7%

상세영업상태명
Categorical

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

Length

Max length6
Median length2
Mean length2.8695652
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 18
78.3%
취소정지업체 5
 
21.7%

Length

2024-04-06T19:42:52.884084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:42:53.085356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 18
78.3%
취소정지업체 5
 
21.7%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

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
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

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 

Distinct21
Distinct (%)100.0%
Missing2
Missing (%)8.7%
Memory size316.0 B
2024-04-06T19:42:53.386114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length27.285714
Min length19

Characters and Unicode

Total characters573
Distinct characters76
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row서울특별시 영등포구 양평동5가 53 가동101호
2nd row서울특별시 영등포구 양평동2가 43-3번지
3rd row서울특별시 영등포구 여의도동 60 63한화생명빌딩
4th row서울특별시 영등포구 여의도동 60
5th row서울특별시 영등포구 신길동 459-5번지
ValueCountFrequency (%)
서울특별시 21
20.8%
영등포구 21
20.8%
여의도동 7
 
6.9%
신길동 4
 
4.0%
양평동5가 2
 
2.0%
가동101호 2
 
2.0%
60 2
 
2.0%
13-21번지 2
 
2.0%
456-32번지 1
 
1.0%
center 1
 
1.0%
Other values (38) 38
37.6%
2024-04-06T19:42:53.975574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
 
17.1%
포 25
 
4.4%
영 24
 
4.2%
등 24
 
4.2%
1 23
 
4.0%
동 23
 
4.0%
서 21
 
3.7%
특 21
 
3.7%
별 21
 
3.7%
시 21
 
3.7%
Other values (66) 272
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 352
61.4%
Decimal Number 101
 
17.6%
Space Separator 98
 
17.1%
Dash Punctuation 12
 
2.1%
Lowercase Letter 6
 
1.0%
Uppercase Letter 3
 
0.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 25
 
7.1%
영 24
 
6.8%
등 24
 
6.8%
동 23
 
6.5%
서 21
 
6.0%
특 21
 
6.0%
별 21
 
6.0%
시 21
 
6.0%
구 21
 
6.0%
울 21
 
6.0%
Other values (45) 130
36.9%
Decimal Number
ValueCountFrequency (%)
1 23
22.8%
3 17
16.8%
2 15
14.9%
5 13
12.9%
6 10
9.9%
0 8
 
7.9%
4 7
 
6.9%
8 3
 
3.0%
9 3
 
3.0%
7 2
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
r 1
16.7%
t 1
16.7%
n 1
16.7%
c 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
V 1
33.3%
K 1
33.3%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 352
61.4%
Common 212
37.0%
Latin 9
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 25
 
7.1%
영 24
 
6.8%
등 24
 
6.8%
동 23
 
6.5%
서 21
 
6.0%
특 21
 
6.0%
별 21
 
6.0%
시 21
 
6.0%
구 21
 
6.0%
울 21
 
6.0%
Other values (45) 130
36.9%
Common
ValueCountFrequency (%)
98
46.2%
1 23
 
10.8%
3 17
 
8.0%
2 15
 
7.1%
5 13
 
6.1%
- 12
 
5.7%
6 10
 
4.7%
0 8
 
3.8%
4 7
 
3.3%
8 3
 
1.4%
Other values (3) 6
 
2.8%
Latin
ValueCountFrequency (%)
e 2
22.2%
r 1
11.1%
t 1
11.1%
n 1
11.1%
c 1
11.1%
V 1
11.1%
K 1
11.1%
S 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 352
61.4%
ASCII 221
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
44.3%
1 23
 
10.4%
3 17
 
7.7%
2 15
 
6.8%
5 13
 
5.9%
- 12
 
5.4%
6 10
 
4.5%
0 8
 
3.6%
4 7
 
3.2%
8 3
 
1.4%
Other values (11) 15
 
6.8%
Hangul
ValueCountFrequency (%)
포 25
 
7.1%
영 24
 
6.8%
등 24
 
6.8%
동 23
 
6.5%
서 21
 
6.0%
특 21
 
6.0%
별 21
 
6.0%
시 21
 
6.0%
구 21
 
6.0%
울 21
 
6.0%
Other values (45) 130
36.9%

도로명주소
Text

MISSING 

Distinct20
Distinct (%)90.9%
Missing1
Missing (%)4.3%
Memory size316.0 B
2024-04-06T19:42:54.402376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length39
Mean length35.727273
Min length24

Characters and Unicode

Total characters786
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

Unique18 ?
Unique (%)81.8%

Sample

1st row서울특별시 영등포구 양평로24길 3 (양평동5가, 가동101호)
2nd row서울특별시 영등포구 영등포로3길 19 (양평동2가)
3rd row서울특별시 영등포구 63로 50, 63한화생명빌딩 (여의도동)
4th row서울특별시 영등포구 63로 50, 63한화생명빌딩 (여의도동)
5th row서울특별시 영등포구 63로 50, 63한화생명빌딩 13층 (여의도동)
ValueCountFrequency (%)
서울특별시 22
 
16.1%
영등포구 22
 
16.1%
여의도동 8
 
5.8%
20 3
 
2.2%
신길동 3
 
2.2%
63로 3
 
2.2%
50 3
 
2.2%
63한화생명빌딩 3
 
2.2%
국회대로74길 2
 
1.5%
국제금융로6길 2
 
1.5%
Other values (62) 66
48.2%
2024-04-06T19:42:55.019612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
 
14.6%
영 28
 
3.6%
포 28
 
3.6%
등 27
 
3.4%
1 26
 
3.3%
동 25
 
3.2%
울 22
 
2.8%
( 22
 
2.8%
로 22
 
2.8%
) 22
 
2.8%
Other values (90) 449
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 461
58.7%
Decimal Number 137
 
17.4%
Space Separator 115
 
14.6%
Open Punctuation 22
 
2.8%
Close Punctuation 22
 
2.8%
Other Punctuation 18
 
2.3%
Lowercase Letter 6
 
0.8%
Uppercase Letter 3
 
0.4%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 28
 
6.1%
포 28
 
6.1%
등 27
 
5.9%
동 25
 
5.4%
울 22
 
4.8%
로 22
 
4.8%
서 22
 
4.8%
시 22
 
4.8%
별 22
 
4.8%
특 22
 
4.8%
Other values (67) 221
47.9%
Decimal Number
ValueCountFrequency (%)
1 26
19.0%
0 19
13.9%
3 19
13.9%
2 17
12.4%
6 14
10.2%
5 11
8.0%
4 10
 
7.3%
8 9
 
6.6%
7 6
 
4.4%
9 6
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
t 1
16.7%
r 1
16.7%
n 1
16.7%
c 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
K 1
33.3%
V 1
33.3%
Space Separator
ValueCountFrequency (%)
115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 461
58.7%
Common 316
40.2%
Latin 9
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 28
 
6.1%
포 28
 
6.1%
등 27
 
5.9%
동 25
 
5.4%
울 22
 
4.8%
로 22
 
4.8%
서 22
 
4.8%
시 22
 
4.8%
별 22
 
4.8%
특 22
 
4.8%
Other values (67) 221
47.9%
Common
ValueCountFrequency (%)
115
36.4%
1 26
 
8.2%
( 22
 
7.0%
) 22
 
7.0%
0 19
 
6.0%
3 19
 
6.0%
, 18
 
5.7%
2 17
 
5.4%
6 14
 
4.4%
5 11
 
3.5%
Other values (5) 33
 
10.4%
Latin
ValueCountFrequency (%)
e 2
22.2%
t 1
11.1%
r 1
11.1%
n 1
11.1%
c 1
11.1%
S 1
11.1%
K 1
11.1%
V 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 461
58.7%
ASCII 325
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
35.4%
1 26
 
8.0%
( 22
 
6.8%
) 22
 
6.8%
0 19
 
5.8%
3 19
 
5.8%
, 18
 
5.5%
2 17
 
5.2%
6 14
 
4.3%
5 11
 
3.4%
Other values (13) 42
 
12.9%
Hangul
ValueCountFrequency (%)
영 28
 
6.1%
포 28
 
6.1%
등 27
 
5.9%
동 25
 
5.4%
울 22
 
4.8%
로 22
 
4.8%
서 22
 
4.8%
시 22
 
4.8%
별 22
 
4.8%
특 22
 
4.8%
Other values (67) 221
47.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)88.9%
Missing14
Missing (%)60.9%
Infinite0
Infinite (%)0.0%
Mean7311.4444
Minimum7220
Maximum7387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-04-06T19:42:55.241482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7220
5-th percentile7230.4
Q17276
median7332
Q37345
95-th percentile7378.6
Maximum7387
Range167
Interquartile range (IQR)69

Descriptive statistics

Standard deviation56.908064
Coefficient of variation (CV)0.0077834229
Kurtosis-1.1382648
Mean7311.4444
Median Absolute Deviation (MAD)46
Skewness-0.37324862
Sum65803
Variance3238.5278
MonotonicityNot monotonic
2024-04-06T19:42:55.442472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7345 2
 
8.7%
7276 1
 
4.3%
7332 1
 
4.3%
7220 1
 
4.3%
7286 1
 
4.3%
7366 1
 
4.3%
7246 1
 
4.3%
7387 1
 
4.3%
(Missing) 14
60.9%
ValueCountFrequency (%)
7220 1
4.3%
7246 1
4.3%
7276 1
4.3%
7286 1
4.3%
7332 1
4.3%
7345 2
8.7%
7366 1
4.3%
7387 1
4.3%
ValueCountFrequency (%)
7387 1
4.3%
7366 1
4.3%
7345 2
8.7%
7332 1
4.3%
7286 1
4.3%
7276 1
4.3%
7246 1
4.3%
7220 1
4.3%

사업장명
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-06T19:42:55.763690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length8.9130435
Min length3

Characters and Unicode

Total characters205
Distinct characters90
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

Unique21 ?
Unique (%)91.3%

Sample

1st row정서지질기술사사무소
2nd row(주)선진엔지니어링종합건축사무소
3rd row한화호텔앤드리조트(주)
4th row(주)한화63시티
5th row(주)한화에스테이트
ValueCountFrequency (%)
정서지질기술사사무소 2
 
7.7%
주식회사 2
 
7.7%
주)선진엔지니어링종합건축사무소 1
 
3.8%
반석수자원 1
 
3.8%
세원머시너리 1
 
3.8%
민성기계㈜ 1
 
3.8%
기혼상사 1
 
3.8%
한국지하수수질보전협회 1
 
3.8%
사단법인 1
 
3.8%
세성엔지니어링 1
 
3.8%
Other values (14) 14
53.8%
2024-04-06T19:42:56.302512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 11
 
5.4%
주 11
 
5.4%
( 9
 
4.4%
사 9
 
4.4%
) 9
 
4.4%
링 5
 
2.4%
엔 5
 
2.4%
기 5
 
2.4%
㈜ 4
 
2.0%
수 4
 
2.0%
Other values (80) 133
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178
86.8%
Open Punctuation 9
 
4.4%
Close Punctuation 9
 
4.4%
Other Symbol 4
 
2.0%
Space Separator 3
 
1.5%
Decimal Number 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 11
 
6.2%
주 11
 
6.2%
사 9
 
5.1%
링 5
 
2.8%
엔 5
 
2.8%
기 5
 
2.8%
수 4
 
2.2%
한 4
 
2.2%
원 4
 
2.2%
니 4
 
2.2%
Other values (74) 116
65.2%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
3 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 182
88.8%
Common 23
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 11
 
6.0%
주 11
 
6.0%
사 9
 
4.9%
링 5
 
2.7%
엔 5
 
2.7%
기 5
 
2.7%
㈜ 4
 
2.2%
수 4
 
2.2%
한 4
 
2.2%
원 4
 
2.2%
Other values (75) 120
65.9%
Common
ValueCountFrequency (%)
( 9
39.1%
) 9
39.1%
3
 
13.0%
6 1
 
4.3%
3 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 178
86.8%
ASCII 23
 
11.2%
None 4
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 11
 
6.2%
주 11
 
6.2%
사 9
 
5.1%
링 5
 
2.8%
엔 5
 
2.8%
기 5
 
2.8%
수 4
 
2.2%
한 4
 
2.2%
원 4
 
2.2%
니 4
 
2.2%
Other values (74) 116
65.2%
ASCII
ValueCountFrequency (%)
( 9
39.1%
) 9
39.1%
3
 
13.0%
6 1
 
4.3%
3 1
 
4.3%
None
ValueCountFrequency (%)
㈜ 4
100.0%

최종수정일자
Date

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2003-05-01 22:47:14
Maximum2024-01-12 12:42:44
2024-04-06T19:42:56.505052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:42:56.753547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
I
13 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 13
56.5%
U 10
43.5%

Length

2024-04-06T19:42:56.972844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:42:57.127226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 13
56.5%
u 10
43.5%

데이터갱신일자
Date

Distinct13
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2018-08-31 23:59:59
Maximum2023-11-30 23:04:00
2024-04-06T19:42:57.293844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:42:57.543973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing1
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean191990.76
Minimum189604.96
Maximum194632.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-04-06T19:42:57.754754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189604.96
5-th percentile189864.07
Q1190551.98
median191741.18
Q3193032.51
95-th percentile194580.83
Maximum194632.53
Range5027.562
Interquartile range (IQR)2480.5284

Descriptive statistics

Standard deviation1540.7439
Coefficient of variation (CV)0.0080250942
Kurtosis-1.1428415
Mean191990.76
Median Absolute Deviation (MAD)1297.8132
Skewness0.082090048
Sum4223796.8
Variance2373891.9
MonotonicityNot monotonic
2024-04-06T19:42:57.976774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
190438.757804863 2
 
8.7%
194632.526367463 2
 
8.7%
192996.536406075 2
 
8.7%
192876.550387955 1
 
4.3%
189959.044020878 1
 
4.3%
191733.681839963 1
 
4.3%
191586.660635006 1
 
4.3%
193034.384264 1
 
4.3%
191748.676939429 1
 
4.3%
191549.123156382 1
 
4.3%
Other values (9) 9
39.1%
ValueCountFrequency (%)
189604.964351874 1
4.3%
189859.071768836 1
4.3%
189959.044020878 1
4.3%
190364.652010662 1
4.3%
190438.757804863 2
8.7%
190891.641500851 1
4.3%
191044.790076908 1
4.3%
191549.123156382 1
4.3%
191586.660635006 1
4.3%
191733.681839963 1
4.3%
ValueCountFrequency (%)
194632.526367463 2
8.7%
193598.536439636 1
4.3%
193437.233759373 1
4.3%
193345.22196413 1
4.3%
193034.384264 1
4.3%
193026.875747265 1
4.3%
192996.536406075 2
8.7%
192876.550387955 1
4.3%
191748.676939429 1
4.3%
191733.681839963 1
4.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing1
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean446585.32
Minimum444680.19
Maximum448531.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-04-06T19:42:58.209621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum444680.19
5-th percentile444898.14
Q1445955.14
median446575.19
Q3447360.57
95-th percentile448478.95
Maximum448531.09
Range3850.9025
Interquartile range (IQR)1405.4305

Descriptive statistics

Standard deviation1050.0108
Coefficient of variation (CV)0.0023511986
Kurtosis-0.30385745
Mean446585.32
Median Absolute Deviation (MAD)774.12963
Skewness-0.019162922
Sum9824877.1
Variance1102522.7
MonotonicityNot monotonic
2024-04-06T19:42:58.451503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
448531.090987478 2
 
8.7%
446401.926526228 2
 
8.7%
447488.346551122 2
 
8.7%
445114.03290833 1
 
4.3%
446192.884313355 1
 
4.3%
444886.773212667 1
 
4.3%
446798.452967557 1
 
4.3%
445304.01128 1
 
4.3%
444680.188455941 1
 
4.3%
445726.225829004 1
 
4.3%
Other values (9) 9
39.1%
ValueCountFrequency (%)
444680.188455941 1
4.3%
444886.773212667 1
4.3%
445114.03290833 1
4.3%
445304.01128 1
4.3%
445726.225829004 1
4.3%
445875.89672273 1
4.3%
446192.884313355 1
4.3%
446357.770653118 1
4.3%
446401.926526228 2
8.7%
446531.983116649 1
4.3%
ValueCountFrequency (%)
448531.090987478 2
8.7%
447488.346551122 2
8.7%
447450.192307414 1
4.3%
447427.783375434 1
4.3%
447158.946262059 1
4.3%
447003.012895295 1
4.3%
446907.786339847 1
4.3%
446798.452967557 1
4.3%
446618.398688307 1
4.3%
446531.983116649 1
4.3%

전문인력총수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)31.6%
Missing4
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean2.6315789
Minimum0
Maximum15
Zeros5
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-04-06T19:42:58.679075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median2
Q32
95-th percentile10.5
Maximum15
Range15
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation3.729917
Coefficient of variation (CV)1.4173685
Kurtosis7.0938985
Mean2.6315789
Median Absolute Deviation (MAD)0
Skewness2.628522
Sum50
Variance13.912281
MonotonicityNot monotonic
2024-04-06T19:42:58.897967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 10
43.5%
0 5
21.7%
1 1
 
4.3%
10 1
 
4.3%
15 1
 
4.3%
4 1
 
4.3%
(Missing) 4
 
17.4%
ValueCountFrequency (%)
0 5
21.7%
1 1
 
4.3%
2 10
43.5%
4 1
 
4.3%
10 1
 
4.3%
15 1
 
4.3%
ValueCountFrequency (%)
15 1
 
4.3%
10 1
 
4.3%
4 1
 
4.3%
2 10
43.5%
1 1
 
4.3%
0 5
21.7%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)72.2%
Missing5
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean8.309412 × 109
Minimum0
Maximum1.1781525 × 1011
Zeros4
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-04-06T19:42:59.106643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150000000
median1.3475 × 108
Q35.7 × 108
95-th percentile3.2687537 × 1010
Maximum1.1781525 × 1011
Range1.1781525 × 1011
Interquartile range (IQR)5.2 × 108

Descriptive statistics

Standard deviation2.7711125 × 1010
Coefficient of variation (CV)3.3349081
Kurtosis16.838486
Mean8.309412 × 109
Median Absolute Deviation (MAD)1.3475 × 108
Skewness4.0617802
Sum1.4956942 × 1011
Variance7.6790646 × 1020
MonotonicityNot monotonic
2024-04-06T19:42:59.333054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 4
17.4%
50000000 3
13.0%
1989620000 1
 
4.3%
117815247000 1
 
4.3%
10000000000 1
 
4.3%
300000000 1
 
4.3%
480000000 1
 
4.3%
250000000 1
 
4.3%
210000000 1
 
4.3%
17665000000 1
 
4.3%
Other values (3) 3
13.0%
(Missing) 5
21.7%
ValueCountFrequency (%)
0 4
17.4%
50000000 3
13.0%
50048819 1
 
4.3%
59500000 1
 
4.3%
210000000 1
 
4.3%
250000000 1
 
4.3%
300000000 1
 
4.3%
480000000 1
 
4.3%
600000000 1
 
4.3%
1989620000 1
 
4.3%
ValueCountFrequency (%)
117815247000 1
4.3%
17665000000 1
4.3%
10000000000 1
4.3%
1989620000 1
4.3%
600000000 1
4.3%
480000000 1
4.3%
300000000 1
4.3%
250000000 1
4.3%
210000000 1
4.3%
59500000 1
4.3%

시설장비
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing11
Missing (%)47.8%
Memory size316.0 B
2024-04-06T19:42:59.800299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length105
Median length53.5
Mean length36.5
Min length10

Characters and Unicode

Total characters438
Distinct characters91
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

Unique12 ?
Unique (%)100.0%

Sample

1st row천공기, 공기압축기
2nd row천공기(104Hp*마이티터보엔진) 공기압축기
3rd row- 천공기(광주22다5243) BCD-1050 1대 - 공기압축기(전남21가8895) DC166084A
4th row1.천공기(서울22-6136)
5th row1.천공기 3대 (서울22-1453 서울22-1533 경기22-1020)
ValueCountFrequency (%)
천공기 2
 
4.3%
2
 
4.3%
공기압축기 2
 
4.3%
2.슬라이드식4000,1 1
 
2.1%
1.슬라이드식5000,1 1
 
2.1%
굴삭기(dx35z-5):1대 1
 
2.1%
t4(온천전용굴착기 1
 
2.1%
kw-0254 1
 
2.1%
250mm 1
 
2.1%
인천22마1046 1
 
2.1%
Other values (34) 34
72.3%
2024-04-06T19:43:00.502790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
9.6%
2 35
 
8.0%
0 35
 
8.0%
기 25
 
5.7%
1 23
 
5.3%
- 18
 
4.1%
5 17
 
3.9%
( 14
 
3.2%
) 13
 
3.0%
공 13
 
3.0%
Other values (81) 203
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 151
34.5%
Decimal Number 150
34.2%
Space Separator 42
 
9.6%
Uppercase Letter 29
 
6.6%
Dash Punctuation 18
 
4.1%
Other Punctuation 18
 
4.1%
Open Punctuation 14
 
3.2%
Close Punctuation 13
 
3.0%
Lowercase Letter 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 25
 
16.6%
공 13
 
8.6%
천 12
 
7.9%
대 8
 
5.3%
압 5
 
3.3%
서 4
 
2.6%
울 4
 
2.6%
진 4
 
2.6%
축 4
 
2.6%
경 4
 
2.6%
Other values (45) 68
45.0%
Uppercase Letter
ValueCountFrequency (%)
D 6
20.7%
C 4
13.8%
X 2
 
6.9%
E 2
 
6.9%
W 2
 
6.9%
B 2
 
6.9%
A 2
 
6.9%
K 1
 
3.4%
H 1
 
3.4%
P 1
 
3.4%
Other values (6) 6
20.7%
Decimal Number
ValueCountFrequency (%)
2 35
23.3%
0 35
23.3%
1 23
15.3%
5 17
11.3%
4 10
 
6.7%
3 10
 
6.7%
6 9
 
6.0%
8 7
 
4.7%
9 3
 
2.0%
7 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 10
55.6%
: 4
 
22.2%
, 3
 
16.7%
* 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
m 2
66.7%
p 1
33.3%
Space Separator
ValueCountFrequency (%)
42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 255
58.2%
Hangul 151
34.5%
Latin 32
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 25
 
16.6%
공 13
 
8.6%
천 12
 
7.9%
대 8
 
5.3%
압 5
 
3.3%
서 4
 
2.6%
울 4
 
2.6%
진 4
 
2.6%
축 4
 
2.6%
경 4
 
2.6%
Other values (45) 68
45.0%
Common
ValueCountFrequency (%)
42
16.5%
2 35
13.7%
0 35
13.7%
1 23
9.0%
- 18
7.1%
5 17
6.7%
( 14
 
5.5%
) 13
 
5.1%
4 10
 
3.9%
. 10
 
3.9%
Other values (8) 38
14.9%
Latin
ValueCountFrequency (%)
D 6
18.8%
C 4
12.5%
X 2
 
6.2%
E 2
 
6.2%
W 2
 
6.2%
B 2
 
6.2%
m 2
 
6.2%
A 2
 
6.2%
K 1
 
3.1%
H 1
 
3.1%
Other values (8) 8
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 287
65.5%
Hangul 151
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
14.6%
2 35
12.2%
0 35
12.2%
1 23
 
8.0%
- 18
 
6.3%
5 17
 
5.9%
( 14
 
4.9%
) 13
 
4.5%
4 10
 
3.5%
. 10
 
3.5%
Other values (26) 70
24.4%
Hangul
ValueCountFrequency (%)
기 25
 
16.6%
공 13
 
8.6%
천 12
 
7.9%
대 8
 
5.3%
압 5
 
3.3%
서 4
 
2.6%
울 4
 
2.6%
진 4
 
2.6%
축 4
 
2.6%
경 4
 
2.6%
Other values (45) 68
45.0%

타기관이전여부
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
0
20 
<NA>
3 

Length

Max length4
Median length1
Mean length1.3913043
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 20
87.0%
<NA> 3
 
13.0%

Length

2024-04-06T19:43:00.766482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:43:00.976361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
87.0%
na 3
 
13.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)전문인력총수자본금시설장비타기관이전여부
03180000C00107726740600000019980115<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동5가 53 가동101호서울특별시 영등포구 양평로24길 3 (양평동5가, 가동101호)<NA>정서지질기술사사무소2016-04-18 16:55:24I2018-08-31 23:59:59.0<NA>190438.757805448531.0909872<NA>천공기, 공기압축기0
13180000C001101110229628L0020160607<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동2가 43-3번지서울특별시 영등포구 영등포로3길 19 (양평동2가)7276(주)선진엔지니어링종합건축사무소2016-06-07 18:34:44I2018-08-31 23:59:59.0<NA>189604.964352447003.01289521989620000천공기(104Hp*마이티터보엔진) 공기압축기0
23180000C001101110249709L0020211124202111253폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 60 63한화생명빌딩서울특별시 영등포구 63로 50, 63한화생명빌딩 (여의도동)7345한화호텔앤드리조트(주)2021-12-13 13:39:48U2021-12-15 02:40:00.0<NA>194632.526367446401.9265261117815247000- 천공기(광주22다5243) BCD-1050 1대 - 공기압축기(전남21가8895) DC166084A0
33180000C001101110425622L0020141124<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 63로 50, 63한화생명빌딩 (여의도동)<NA>(주)한화63시티2021-11-19 14:12:55U2021-11-21 02:40:00.0<NA><NA><NA>010000000000<NA>0
43180000C001101110560650L0020141124<NA>3폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 60서울특별시 영등포구 63로 50, 63한화생명빌딩 13층 (여의도동)7345(주)한화에스테이트2021-07-23 14:15:03U2021-07-25 02:40:00.0<NA>194632.526367446401.92652600<NA>0
53180000C001101110646707L0020000927<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 459-5번지<NA><NA>우승건설㈜2003-05-01 22:47:14I2018-08-31 23:59:59.0<NA>192876.550388445114.03290823000000001.천공기(서울22-6136)0
63180000C001101110821234L0020000503<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 13-25번지서울특별시 영등포구 은행로 29 (여의도동)<NA>㈜동원기초2003-05-01 22:47:14I2018-08-31 23:59:59.0<NA>193026.875747447427.783375104800000001.천공기 3대 (서울22-1453 서울22-1533 경기22-1020)0
73180000C001101110860919L0020150401<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동3가 46 이앤씨드림타워 711호서울특별시 영등포구 선유로 146, 이앤씨드림타워 406호 (양평동3가)<NA>(주)지오그룹이엔지2021-09-16 11:03:55U2021-09-18 02:40:00.0<NA>190364.652011447158.94626215250000000보링기계(유압회전식) 6408-0030(POWER 4000 SD)경기22고52890
83180000C001101110908008L0020010220<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 국제금융로8길 27-8, 엔에이치농협캐피탈빌딩 (여의도동)7332동운엔지니어링2022-01-12 17:15:25U2022-01-14 02:40:00.0<NA>193598.53644446357.77065300<NA>0
93180000C001101111390593L0020020409200804043폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동3가 64번지서울특별시 영등포구 당산로26길 11 (당산동3가)<NA>㈜지오콘건영2008-04-04 10:50:42I2018-08-31 23:59:59.0<NA>190891.641501446907.7863442100000001.천공기(경기22고5008)0
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)전문인력총수자본금시설장비타기관이전여부
133180000C001101114651158L0020120514<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 35-2번지 백상빌딩801호서울특별시 영등포구 국제금융로6길 30 (여의도동,백상빌딩801호)<NA>(주)드릴링서비스인터내셔널2013-07-10 15:41:50I2018-08-31 23:59:59.0<NA>193437.233759446618.398688250000000<NA>0
143180000C001101117562675L002023-03-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 문래동6가 19 문래 SK V1 center서울특별시 영등포구 선유로9길 10, 문래 SK V1 center 1518호 (문래동6가)<NA>담덕엔지니어링 주식회사2023-07-24 10:45:29U2022-12-06 22:06:00.0<NA>189959.044021446192.884313<NA><NA><NA><NA>
153180000C001101117815842L002023-01-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 문래동5가 9 벽산디지털밸리서울특별시 영등포구 경인로71길 70, 벽산디지털밸리 8층 801호 (문래동5가)7286세성엔지니어링 주식회사2023-02-28 10:00:41U2022-12-03 00:03:00.0<NA>189859.071769445875.896723<NA><NA><NA><NA>
163180000C00110221001611300020200313<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동 618-220번지서울특별시 영등포구 영신로19길 26, 3층 (영등포동)7366사단법인 한국지하수수질보전협회2020-03-13 14:57:05I2020-03-15 00:23:23.0<NA>191549.123156445726.225829250048819천공기 KW-0254 250mm 인천22마1046 사용기간 2020.02.20-2021.02.19 연임대료 600만원 임대인 인천시 옹진군 덕진면 진리 513-26 경원엔지니어링 설용수0
173180000C00118136497900000019990615<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 336-252번지서울특별시 영등포구 신길로29길 23 (신길동)<NA>기혼상사2014-12-03 17:09:08I2018-08-31 23:59:59.0<NA>191748.676939444680.1884562595000001.슬라이드식5000,1 2.슬라이드식4000,10
183180000C001348110018152L0020020515200509293폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 456-32번지서울특별시 영등포구 영등포로84길 38 (신길동)<NA>민성기계㈜2005-09-30 15:04:35I2018-08-31 23:59:59.0<NA>193034.384264445304.011282500000001.천공기(서울22-6780)0
193180000C0019408009030000002024-01-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동7가 208 포레나 영등포 센트럴서울특별시 영등포구 국회대로50길 20, 103동 1402호 (영등포동7가, 포레나 영등포 센트럴)7246세원머시너리2024-01-12 12:42:44U2023-11-30 23:04:00.0<NA>191586.660635446798.452968<NA><NA><NA><NA>
203180000C00430723106891600019980115201412033폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동5가 53번지 가동101호서울특별시 영등포구 양평로24길 3 (양평동5가, 가동101호)<NA>정서지질기술사사무소2014-12-03 16:34:12I2018-08-31 23:59:59.0<NA>190438.757805448531.09098700<NA>0
213180000C00520512162981700020021014<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 13-21번지 맨하탄21리빙텔서울특별시 영등포구 국회대로74길 20 (여의도동, 1105호,맨하탄21리빙텔)<NA>반석수자원2014-12-03 16:51:19I2018-08-31 23:59:59.0<NA>192996.536406447488.34655100<NA>0
223180000C00541007104612900019990615<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 321-11번지서울특별시 영등포구 가마산로65길 2, 1층 (신길동)7387손성현2020-02-18 17:31:36U2020-02-20 02:40:00.0<NA>191733.68184444886.773213<NA><NA><NA>0