Overview

Dataset statistics

Number of variables29
Number of observations35
Missing cells364
Missing cells (%)35.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.6 KiB
Average record size in memory252.8 B

Variable types

Categorical9
Text5
DateTime3
Unsupported8
Numeric4

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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-19144/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 25 (71.4%) missing valuesMissing
폐업일자 has 35 (100.0%) missing valuesMissing
휴업시작일자 has 35 (100.0%) missing valuesMissing
휴업종료일자 has 35 (100.0%) missing valuesMissing
재개업일자 has 35 (100.0%) missing valuesMissing
전화번호 has 35 (100.0%) missing valuesMissing
소재지면적 has 35 (100.0%) missing valuesMissing
소재지우편번호 has 35 (100.0%) missing valuesMissing
지번주소 has 3 (8.6%) missing valuesMissing
도로명주소 has 2 (5.7%) missing valuesMissing
도로명우편번호 has 24 (68.6%) missing valuesMissing
업태구분명 has 35 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.9%) missing valuesMissing
좌표정보(Y) has 1 (2.9%) missing valuesMissing
자본금 has 7 (20.0%) missing valuesMissing
시설장비 has 21 (60.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 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

Reproduction

Analysis started2024-04-06 10:37:57.209086
Analysis finished2024-04-06 10:37:57.801033
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
3170000
35 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3170000 35
100.0%

Length

2024-04-06T19:37:58.054260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:37:58.236157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 35
100.0%

관리번호
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-04-06T19:37:58.590386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length18.885714
Min length15

Characters and Unicode

Total characters661
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

Unique35 ?
Unique (%)100.0%

Sample

1st rowC001101110078918L00
2nd rowC001101110382434L00
3rd rowC001101110428254L00
4th rowC001101110841688L00
5th rowC001101110977293L00
ValueCountFrequency (%)
c001101110078918l00 1
 
2.9%
c001101113959587l00 1
 
2.9%
c001101114944222l00 1
 
2.9%
c001101115044336l00 1
 
2.9%
c001101115342813l00 1
 
2.9%
c001101117808805l00 1
 
2.9%
c001101118681185l00 1
 
2.9%
c001101150015194l00 1
 
2.9%
c001101114872051l00 1
 
2.9%
c001131386056000000 1
 
2.9%
Other values (25) 25
71.4%
2024-04-06T19:37:59.326894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 212
32.1%
1 175
26.5%
C 35
 
5.3%
8 33
 
5.0%
2 32
 
4.8%
6 29
 
4.4%
L 28
 
4.2%
4 28
 
4.2%
5 27
 
4.1%
3 27
 
4.1%
Other values (2) 35
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 598
90.5%
Uppercase Letter 63
 
9.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 212
35.5%
1 175
29.3%
8 33
 
5.5%
2 32
 
5.4%
6 29
 
4.8%
4 28
 
4.7%
5 27
 
4.5%
3 27
 
4.5%
9 20
 
3.3%
7 15
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
C 35
55.6%
L 28
44.4%

Most occurring scripts

ValueCountFrequency (%)
Common 598
90.5%
Latin 63
 
9.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 212
35.5%
1 175
29.3%
8 33
 
5.5%
2 32
 
5.4%
6 29
 
4.8%
4 28
 
4.7%
5 27
 
4.5%
3 27
 
4.5%
9 20
 
3.3%
7 15
 
2.5%
Latin
ValueCountFrequency (%)
C 35
55.6%
L 28
44.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 661
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 212
32.1%
1 175
26.5%
C 35
 
5.3%
8 33
 
5.0%
2 32
 
4.8%
6 29
 
4.4%
L 28
 
4.2%
4 28
 
4.2%
5 27
 
4.1%
3 27
 
4.1%
Other values (2) 35
 
5.3%

인허가일자
Date

Distinct33
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum1998-02-20 00:00:00
Maximum2023-07-26 00:00:00
2024-04-06T19:37:59.599701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:37:59.832255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

인허가취소일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing25
Missing (%)71.4%
Memory size412.0 B
Minimum2002-11-05 00:00:00
Maximum2024-02-02 00:00:00
2024-04-06T19:38:00.042964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:38:00.317844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

영업상태코드
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
1
25 
3
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 25
71.4%
3 10
 
28.6%

Length

2024-04-06T19:38:00.736493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:38:00.920428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 25
71.4%
3 10
 
28.6%

영업상태명
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
영업/정상
25 
폐업
10 

Length

Max length5
Median length5
Mean length4.1428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 25
71.4%
폐업 10
 
28.6%

Length

2024-04-06T19:38:01.240430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:38:01.513973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 25
71.4%
폐업 10
 
28.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
1
25 
2
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 25
71.4%
2 10
 
28.6%

Length

2024-04-06T19:38:01.805485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:38:02.021577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 25
71.4%
2 10
 
28.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
영업
25 
취소정지업체
10 

Length

Max length6
Median length2
Mean length3.1428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 25
71.4%
취소정지업체 10
 
28.6%

Length

2024-04-06T19:38:02.200989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:38:02.370712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 25
71.4%
취소정지업체 10
 
28.6%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

지번주소
Text

MISSING 

Distinct32
Distinct (%)100.0%
Missing3
Missing (%)8.6%
Memory size412.0 B
2024-04-06T19:38:02.713143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length30.8125
Min length19

Characters and Unicode

Total characters986
Distinct characters85
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row서울특별시 금천구 독산동 293-9번지
2nd row서울특별시 금천구 독산동 288-5번지
3rd row서울특별시 금천구 가산동 448번지
4th row서울특별시 금천구 가산동 371-17번지
5th row서울특별시 금천구 가산동 60-4 코오롱테크노밸리 401호
ValueCountFrequency (%)
서울특별시 32
17.7%
금천구 30
16.6%
가산동 22
 
12.2%
시흥동 6
 
3.3%
우림라이온스밸리 4
 
2.2%
984 3
 
1.7%
481-10번지 3
 
1.7%
시흥유통상가 3
 
1.7%
벽산디지털밸리2차 3
 
1.7%
303호 3
 
1.7%
Other values (63) 72
39.8%
2024-04-06T19:38:03.489489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
 
16.6%
시 42
 
4.3%
동 41
 
4.2%
서 33
 
3.3%
1 33
 
3.3%
특 32
 
3.2%
별 32
 
3.2%
구 32
 
3.2%
울 32
 
3.2%
0 31
 
3.1%
Other values (75) 514
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 579
58.7%
Decimal Number 214
 
21.7%
Space Separator 164
 
16.6%
Dash Punctuation 23
 
2.3%
Uppercase Letter 5
 
0.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 42
 
7.3%
동 41
 
7.1%
서 33
 
5.7%
특 32
 
5.5%
별 32
 
5.5%
구 32
 
5.5%
울 32
 
5.5%
금 30
 
5.2%
천 30
 
5.2%
산 28
 
4.8%
Other values (57) 247
42.7%
Decimal Number
ValueCountFrequency (%)
1 33
15.4%
0 31
14.5%
4 30
14.0%
2 30
14.0%
3 25
11.7%
8 22
10.3%
9 16
7.5%
5 11
 
5.1%
6 8
 
3.7%
7 8
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
B 1
20.0%
C 1
20.0%
A 1
20.0%
K 1
20.0%
S 1
20.0%
Space Separator
ValueCountFrequency (%)
164
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 579
58.7%
Common 402
40.8%
Latin 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 42
 
7.3%
동 41
 
7.1%
서 33
 
5.7%
특 32
 
5.5%
별 32
 
5.5%
구 32
 
5.5%
울 32
 
5.5%
금 30
 
5.2%
천 30
 
5.2%
산 28
 
4.8%
Other values (57) 247
42.7%
Common
ValueCountFrequency (%)
164
40.8%
1 33
 
8.2%
0 31
 
7.7%
4 30
 
7.5%
2 30
 
7.5%
3 25
 
6.2%
- 23
 
5.7%
8 22
 
5.5%
9 16
 
4.0%
5 11
 
2.7%
Other values (3) 17
 
4.2%
Latin
ValueCountFrequency (%)
B 1
20.0%
C 1
20.0%
A 1
20.0%
K 1
20.0%
S 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 579
58.7%
ASCII 407
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
164
40.3%
1 33
 
8.1%
0 31
 
7.6%
4 30
 
7.4%
2 30
 
7.4%
3 25
 
6.1%
- 23
 
5.7%
8 22
 
5.4%
9 16
 
3.9%
5 11
 
2.7%
Other values (8) 22
 
5.4%
Hangul
ValueCountFrequency (%)
시 42
 
7.3%
동 41
 
7.1%
서 33
 
5.7%
특 32
 
5.5%
별 32
 
5.5%
구 32
 
5.5%
울 32
 
5.5%
금 30
 
5.2%
천 30
 
5.2%
산 28
 
4.8%
Other values (57) 247
42.7%

도로명주소
Text

MISSING 

Distinct31
Distinct (%)93.9%
Missing2
Missing (%)5.7%
Memory size412.0 B
2024-04-06T19:38:03.912526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length40.181818
Min length24

Characters and Unicode

Total characters1326
Distinct characters97
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

Unique29 ?
Unique (%)87.9%

Sample

1st row서울특별시 금천구 범안로19길 26 (독산동)
2nd row서울특별시 금천구 시흥대로 413 (독산동)
3rd row서울특별시 금천구 가산디지털2로 115, 814호 (가산동)
4th row서울특별시 금천구 가산디지털1로 131, C동 1802호 (가산동)
5th row서울특별시 금천구 디지털로 178, 제비동 20층 제오비-2007, 2008, 2009호 (가산동)
ValueCountFrequency (%)
서울특별시 33
 
13.9%
금천구 32
 
13.5%
가산동 22
 
9.3%
가산디지털1로 8
 
3.4%
시흥대로 7
 
3.0%
가산디지털2로 7
 
3.0%
시흥동 6
 
2.5%
97 6
 
2.5%
시흥유통상가 4
 
1.7%
13동 3
 
1.3%
Other values (83) 109
46.0%
2024-04-06T19:38:04.629645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
204
 
15.4%
1 57
 
4.3%
시 51
 
3.8%
동 47
 
3.5%
가 47
 
3.5%
, 46
 
3.5%
산 46
 
3.5%
2 43
 
3.2%
서 35
 
2.6%
울 33
 
2.5%
Other values (87) 717
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 759
57.2%
Decimal Number 241
 
18.2%
Space Separator 204
 
15.4%
Other Punctuation 46
 
3.5%
Close Punctuation 33
 
2.5%
Open Punctuation 33
 
2.5%
Uppercase Letter 6
 
0.5%
Dash Punctuation 2
 
0.2%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 51
 
6.7%
동 47
 
6.2%
가 47
 
6.2%
산 46
 
6.1%
서 35
 
4.6%
울 33
 
4.3%
특 33
 
4.3%
구 33
 
4.3%
별 33
 
4.3%
천 32
 
4.2%
Other values (67) 369
48.6%
Decimal Number
ValueCountFrequency (%)
1 57
23.7%
2 43
17.8%
0 30
12.4%
3 28
11.6%
8 21
 
8.7%
4 16
 
6.6%
9 15
 
6.2%
7 12
 
5.0%
6 11
 
4.6%
5 8
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
C 2
33.3%
A 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
204
100.0%
Other Punctuation
ValueCountFrequency (%)
, 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 759
57.2%
Common 559
42.2%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 51
 
6.7%
동 47
 
6.2%
가 47
 
6.2%
산 46
 
6.1%
서 35
 
4.6%
울 33
 
4.3%
특 33
 
4.3%
구 33
 
4.3%
별 33
 
4.3%
천 32
 
4.2%
Other values (67) 369
48.6%
Common
ValueCountFrequency (%)
204
36.5%
1 57
 
10.2%
, 46
 
8.2%
2 43
 
7.7%
) 33
 
5.9%
( 33
 
5.9%
0 30
 
5.4%
3 28
 
5.0%
8 21
 
3.8%
4 16
 
2.9%
Other values (5) 48
 
8.6%
Latin
ValueCountFrequency (%)
B 3
37.5%
C 2
25.0%
k 1
 
12.5%
A 1
 
12.5%
s 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 759
57.2%
ASCII 567
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
204
36.0%
1 57
 
10.1%
, 46
 
8.1%
2 43
 
7.6%
) 33
 
5.8%
( 33
 
5.8%
0 30
 
5.3%
3 28
 
4.9%
8 21
 
3.7%
4 16
 
2.8%
Other values (10) 56
 
9.9%
Hangul
ValueCountFrequency (%)
시 51
 
6.7%
동 47
 
6.2%
가 47
 
6.2%
산 46
 
6.1%
서 35
 
4.6%
울 33
 
4.3%
특 33
 
4.3%
구 33
 
4.3%
별 33
 
4.3%
천 32
 
4.2%
Other values (67) 369
48.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)63.6%
Missing24
Missing (%)68.6%
Infinite0
Infinite (%)0.0%
Mean8557.1818
Minimum8501
Maximum8639
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-06T19:38:04.818409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8501
5-th percentile8501
Q18505.5
median8513
Q38615
95-th percentile8639
Maximum8639
Range138
Interquartile range (IQR)109.5

Descriptive statistics

Standard deviation61.891547
Coefficient of variation (CV)0.0072327022
Kurtosis-1.9043546
Mean8557.1818
Median Absolute Deviation (MAD)12
Skewness0.44697295
Sum94129
Variance3830.5636
MonotonicityNot monotonic
2024-04-06T19:38:04.986380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8639 3
 
8.6%
8501 2
 
5.7%
8507 2
 
5.7%
8513 1
 
2.9%
8504 1
 
2.9%
8588 1
 
2.9%
8591 1
 
2.9%
(Missing) 24
68.6%
ValueCountFrequency (%)
8501 2
5.7%
8504 1
 
2.9%
8507 2
5.7%
8513 1
 
2.9%
8588 1
 
2.9%
8591 1
 
2.9%
8639 3
8.6%
ValueCountFrequency (%)
8639 3
8.6%
8591 1
 
2.9%
8588 1
 
2.9%
8513 1
 
2.9%
8507 2
5.7%
8504 1
 
2.9%
8501 2
5.7%

사업장명
Text

Distinct34
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-04-06T19:38:05.311560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.8857143
Min length3

Characters and Unicode

Total characters276
Distinct characters94
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)94.3%

Sample

1st row㈜성업지하수개발
2nd row㈜한국지질컨설턴트
3rd row(주)동아특수건설
4th row(주)이랜드건설
5th row(주)드림바이오스
ValueCountFrequency (%)
주)건창이앤텍 2
 
5.3%
주식회사 2
 
5.3%
주)동성지오텍 1
 
2.6%
주)지에스지이엔지 1
 
2.6%
파란디에스아이 1
 
2.6%
한국지열공사 1
 
2.6%
한강그린 1
 
2.6%
상암지오텍(주 1
 
2.6%
주)센도리 1
 
2.6%
㈜성업지하수개발 1
 
2.6%
Other values (26) 26
68.4%
2024-04-06T19:38:05.819984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 26
 
9.4%
( 23
 
8.3%
) 23
 
8.3%
지 19
 
6.9%
이 13
 
4.7%
엔 7
 
2.5%
씨 5
 
1.8%
사 5
 
1.8%
앤 4
 
1.4%
에 4
 
1.4%
Other values (84) 147
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 225
81.5%
Open Punctuation 23
 
8.3%
Close Punctuation 23
 
8.3%
Space Separator 3
 
1.1%
Other Symbol 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 26
 
11.6%
지 19
 
8.4%
이 13
 
5.8%
엔 7
 
3.1%
씨 5
 
2.2%
사 5
 
2.2%
앤 4
 
1.8%
에 4
 
1.8%
회 4
 
1.8%
텍 4
 
1.8%
Other values (80) 134
59.6%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 227
82.2%
Common 49
 
17.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 26
 
11.5%
지 19
 
8.4%
이 13
 
5.7%
엔 7
 
3.1%
씨 5
 
2.2%
사 5
 
2.2%
앤 4
 
1.8%
에 4
 
1.8%
회 4
 
1.8%
텍 4
 
1.8%
Other values (81) 136
59.9%
Common
ValueCountFrequency (%)
( 23
46.9%
) 23
46.9%
3
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 225
81.5%
ASCII 49
 
17.8%
None 2
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 26
 
11.6%
지 19
 
8.4%
이 13
 
5.8%
엔 7
 
3.1%
씨 5
 
2.2%
사 5
 
2.2%
앤 4
 
1.8%
에 4
 
1.8%
회 4
 
1.8%
텍 4
 
1.8%
Other values (80) 134
59.6%
ASCII
ValueCountFrequency (%)
( 23
46.9%
) 23
46.9%
3
 
6.1%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2012-01-31 14:57:13
Maximum2024-02-02 14:21:00
2024-04-06T19:38:06.023593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:38:06.214346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
I
19 
U
16 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 19
54.3%
U 16
45.7%

Length

2024-04-06T19:38:06.400618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:38:06.573986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 19
54.3%
u 16
45.7%

데이터갱신일자
Categorical

Distinct15
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
2018-08-31 23:59:59.0
16 
2021-03-11 02:40:00.0
4 
2023-11-30 22:08:00.0
2 
2022-11-01 23:00:00.0
2 
2019-05-25 02:40:00.0
 
1
Other values (10)
10 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique11 ?
Unique (%)31.4%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2023-11-30 22:08:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 16
45.7%
2021-03-11 02:40:00.0 4
 
11.4%
2023-11-30 22:08:00.0 2
 
5.7%
2022-11-01 23:00:00.0 2
 
5.7%
2019-05-25 02:40:00.0 1
 
2.9%
2020-04-19 02:40:00.0 1
 
2.9%
2019-07-11 02:40:00.0 1
 
2.9%
2019-11-22 02:40:00.0 1
 
2.9%
2019-03-21 02:21:57.0 1
 
2.9%
2022-12-04 00:05:00.0 1
 
2.9%
Other values (5) 5
 
14.3%

Length

2024-04-06T19:38:06.759339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 16
22.9%
23:59:59.0 16
22.9%
02:40:00.0 11
15.7%
2021-03-11 4
 
5.7%
00:05:00.0 2
 
2.9%
2023-11-30 2
 
2.9%
22:08:00.0 2
 
2.9%
2022-11-01 2
 
2.9%
23:00:00.0 2
 
2.9%
2019-02-03 1
 
1.4%
Other values (12) 12
17.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)58.8%
Missing1
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean190319.31
Minimum188979.23
Maximum198548.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-06T19:38:06.926152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum188979.23
5-th percentile189051.18
Q1189283.86
median189737.18
Q3191137.07
95-th percentile192326.63
Maximum198548.84
Range9569.6115
Interquartile range (IQR)1853.2025

Descriptive statistics

Standard deviation1823.1862
Coefficient of variation (CV)0.0095796178
Kurtosis12.776911
Mean190319.31
Median Absolute Deviation (MAD)609.20174
Skewness3.2321764
Sum6470856.4
Variance3324007.9
MonotonicityNot monotonic
2024-04-06T19:38:07.106273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
191226.287379467 7
20.0%
189127.981104583 4
 
11.4%
189538.020935968 3
 
8.6%
190050.903572929 2
 
5.7%
189788.849463856 2
 
5.7%
188979.225789508 2
 
5.7%
190702.926289758 1
 
2.9%
194370.115241661 1
 
2.9%
189982.344533404 1
 
2.9%
189450.60600488 1
 
2.9%
Other values (10) 10
28.6%
ValueCountFrequency (%)
188979.225789508 2
5.7%
189089.927764903 1
 
2.9%
189092.729912585 1
 
2.9%
189127.981104583 4
11.4%
189228.282678816 1
 
2.9%
189450.60600488 1
 
2.9%
189472.091898625 1
 
2.9%
189522.336721798 1
 
2.9%
189538.020935968 3
8.6%
189575.815287955 1
 
2.9%
ValueCountFrequency (%)
198548.837293647 1
 
2.9%
194370.115241661 1
 
2.9%
191226.287379467 7
20.0%
190869.401915822 1
 
2.9%
190702.926289758 1
 
2.9%
190050.903572929 2
 
5.7%
189982.344533404 1
 
2.9%
189917.493331104 1
 
2.9%
189788.849463856 2
 
5.7%
189685.516219475 1
 
2.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)58.8%
Missing1
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean441034.94
Minimum437914.06
Maximum443846.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-06T19:38:07.283656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437914.06
5-th percentile437914.06
Q1440548.81
median441731.61
Q3442034.63
95-th percentile442498.58
Maximum443846.8
Range5932.7407
Interquartile range (IQR)1485.8181

Descriptive statistics

Standard deviation1731.7218
Coefficient of variation (CV)0.0039264958
Kurtosis-0.2244616
Mean441034.94
Median Absolute Deviation (MAD)658.93024
Skewness-1.0220771
Sum14995188
Variance2998860.5
MonotonicityNot monotonic
2024-04-06T19:38:07.489432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
437914.06299827 7
20.0%
442460.505542105 4
 
11.4%
441982.427934953 3
 
8.6%
440523.497478209 2
 
5.7%
441731.610478567 2
 
5.7%
442035.622560657 2
 
5.7%
440624.758874942 1
 
2.9%
443846.803685188 1
 
2.9%
441928.69040241 1
 
2.9%
441142.645065053 1
 
2.9%
Other values (10) 10
28.6%
ValueCountFrequency (%)
437914.06299827 7
20.0%
440523.497478209 2
 
5.7%
440624.758874942 1
 
2.9%
440919.941586052 1
 
2.9%
441142.645065053 1
 
2.9%
441483.675018356 1
 
2.9%
441503.181731081 1
 
2.9%
441654.010373182 1
 
2.9%
441656.93791308 1
 
2.9%
441731.610478567 2
 
5.7%
ValueCountFrequency (%)
443846.803685188 1
 
2.9%
442569.300676147 1
 
2.9%
442460.505542105 4
11.4%
442262.659278232 1
 
2.9%
442035.622560657 2
5.7%
442031.656022304 1
 
2.9%
442026.468974479 1
 
2.9%
441982.427934953 3
8.6%
441928.69040241 1
 
2.9%
441767.908595592 1
 
2.9%

전문인력총수
Categorical

Distinct5
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
2
20 
<NA>
7 
3
5 
4
 
2
13
 
1

Length

Max length4
Median length1
Mean length1.6285714
Min length1

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row2
2nd row2
3rd row3
4th row2
5th row<NA>

Common Values

ValueCountFrequency (%)
2 20
57.1%
<NA> 7
 
20.0%
3 5
 
14.3%
4 2
 
5.7%
13 1
 
2.9%

Length

2024-04-06T19:38:07.686448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:38:07.909136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 20
57.1%
na 7
 
20.0%
3 5
 
14.3%
4 2
 
5.7%
13 1
 
2.9%

자본금
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)64.3%
Missing7
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean1.9726003 × 109
Minimum32000000
Maximum4.78 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-06T19:38:08.098665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32000000
5-th percentile50000000
Q11 × 108
median2 × 108
Q33.2087657 × 108
95-th percentile1.3094 × 109
Maximum4.78 × 1010
Range4.7768 × 1010
Interquartile range (IQR)2.2087657 × 108

Descriptive statistics

Standard deviation8.9869395 × 109
Coefficient of variation (CV)4.5558846
Kurtosis27.921961
Mean1.9726003 × 109
Median Absolute Deviation (MAD)1 × 108
Skewness5.2809469
Sum5.5232809 × 1010
Variance8.0765081 × 1019
MonotonicityNot monotonic
2024-04-06T19:38:08.335871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
100000000 5
14.3%
50000000 4
11.4%
200000000 3
 
8.6%
300000000 2
 
5.7%
710000000 1
 
2.9%
32000000 1
 
2.9%
250000000 1
 
2.9%
203258776 1
 
2.9%
88044000 1
 
2.9%
383506291 1
 
2.9%
Other values (8) 8
22.9%
(Missing) 7
20.0%
ValueCountFrequency (%)
32000000 1
 
2.9%
50000000 4
11.4%
88044000 1
 
2.9%
100000000 5
14.3%
110000000 1
 
2.9%
200000000 3
8.6%
203258776 1
 
2.9%
210000000 1
 
2.9%
220000000 1
 
2.9%
250000000 1
 
2.9%
ValueCountFrequency (%)
47800000000 1
2.9%
1476000000 1
2.9%
1000000000 1
2.9%
710000000 1
2.9%
450000000 1
2.9%
400000000 1
2.9%
383506291 1
2.9%
300000000 2
5.7%
250000000 1
2.9%
220000000 1
2.9%

시설장비
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing21
Missing (%)60.0%
Memory size412.0 B
2024-04-06T19:38:08.627403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length27.5
Mean length19.5
Min length3

Characters and Unicode

Total characters273
Distinct characters90
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

Unique14 ?
Unique (%)100.0%

Sample

1st row1. 착정기 1 2. 공기압축기 1
2nd row1. 착정기 1 2. 롯드40본 3. 기타부대시설1식
3rd row보링,그라우팅업으로 갈음
4th row시추기 1대(Mini T-4 500형) 공기압축기 2대
5th row시추기(유압식 로터리 보링기) 1대
ValueCountFrequency (%)
1 7
 
13.5%
공기압축기 4
 
7.7%
1대 4
 
7.7%
시추기 4
 
7.7%
2 3
 
5.8%
천공기 2
 
3.8%
착정기 2
 
3.8%
1
 
1.9%
kr8033d(독일gklemm사 1
 
1.9%
r50(미니t40 1
 
1.9%
Other values (23) 23
44.2%
2024-04-06T19:38:09.491030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
 
14.3%
기 24
 
8.8%
1 15
 
5.5%
0 12
 
4.4%
대 10
 
3.7%
. 8
 
2.9%
) 7
 
2.6%
시 7
 
2.6%
( 7
 
2.6%
2 7
 
2.6%
Other values (80) 137
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 137
50.2%
Decimal Number 44
 
16.1%
Space Separator 39
 
14.3%
Uppercase Letter 17
 
6.2%
Other Punctuation 12
 
4.4%
Close Punctuation 8
 
2.9%
Open Punctuation 8
 
2.9%
Lowercase Letter 5
 
1.8%
Dash Punctuation 3
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 24
 
17.5%
대 10
 
7.3%
시 7
 
5.1%
추 6
 
4.4%
정 6
 
4.4%
공 6
 
4.4%
압 5
 
3.6%
축 4
 
2.9%
착 4
 
2.9%
식 4
 
2.9%
Other values (49) 61
44.5%
Uppercase Letter
ValueCountFrequency (%)
M 3
17.6%
D 2
11.8%
T 2
11.8%
R 2
11.8%
E 2
11.8%
K 1
 
5.9%
L 1
 
5.9%
G 1
 
5.9%
W 1
 
5.9%
O 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 15
34.1%
0 12
27.3%
2 7
15.9%
4 4
 
9.1%
3 3
 
6.8%
5 2
 
4.5%
8 1
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
i 2
40.0%
r 1
20.0%
k 1
20.0%
n 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 8
66.7%
, 3
 
25.0%
: 1
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 7
87.5%
] 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 7
87.5%
[ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 137
50.2%
Common 114
41.8%
Latin 22
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 24
 
17.5%
대 10
 
7.3%
시 7
 
5.1%
추 6
 
4.4%
정 6
 
4.4%
공 6
 
4.4%
압 5
 
3.6%
축 4
 
2.9%
착 4
 
2.9%
식 4
 
2.9%
Other values (49) 61
44.5%
Common
ValueCountFrequency (%)
39
34.2%
1 15
 
13.2%
0 12
 
10.5%
. 8
 
7.0%
) 7
 
6.1%
( 7
 
6.1%
2 7
 
6.1%
4 4
 
3.5%
3 3
 
2.6%
, 3
 
2.6%
Other values (6) 9
 
7.9%
Latin
ValueCountFrequency (%)
M 3
13.6%
D 2
 
9.1%
T 2
 
9.1%
i 2
 
9.1%
R 2
 
9.1%
E 2
 
9.1%
K 1
 
4.5%
L 1
 
4.5%
G 1
 
4.5%
r 1
 
4.5%
Other values (5) 5
22.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 137
50.2%
ASCII 136
49.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39
28.7%
1 15
 
11.0%
0 12
 
8.8%
. 8
 
5.9%
) 7
 
5.1%
( 7
 
5.1%
2 7
 
5.1%
4 4
 
2.9%
3 3
 
2.2%
, 3
 
2.2%
Other values (21) 31
22.8%
Hangul
ValueCountFrequency (%)
기 24
 
17.5%
대 10
 
7.3%
시 7
 
5.1%
추 6
 
4.4%
정 6
 
4.4%
공 6
 
4.4%
압 5
 
3.6%
축 4
 
2.9%
착 4
 
2.9%
식 4
 
2.9%
Other values (49) 61
44.5%

타기관이전여부
Categorical

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
24 
<NA>
7 
1
4 

Length

Max length4
Median length1
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 24
68.6%
<NA> 7
 
20.0%
1 4
 
11.4%

Length

2024-04-06T19:38:09.738260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:38:09.926827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
68.6%
na 7
 
20.0%
1 4
 
11.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)전문인력총수자본금시설장비타기관이전여부
03170000C001101110078918L0019981118200211053폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 293-9번지서울특별시 금천구 범안로19길 26 (독산동)<NA>㈜성업지하수개발2012-01-31 14:57:58I2018-08-31 23:59:59.0<NA>190702.92629440624.75887521000000001. 착정기 1 2. 공기압축기 10
13170000C001101110382434L0019980220200609153폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 288-5번지서울특별시 금천구 시흥대로 413 (독산동)<NA>㈜한국지질컨설턴트2012-01-31 14:57:13I2018-08-31 23:59:59.0<NA>190869.401916440919.94158621100000001. 착정기 1 2. 롯드40본 3. 기타부대시설1식0
23170000C001101110428254L0020131211<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 448번지서울특별시 금천구 가산디지털2로 115, 814호 (가산동)<NA>(주)동아특수건설2013-12-11 09:34:00I2018-08-31 23:59:59.0<NA>189228.282679441767.90859631476000000보링,그라우팅업으로 갈음0
33170000C001101110841688L0020151127<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 371-17번지서울특별시 금천구 가산디지털1로 131, C동 1802호 (가산동)<NA>(주)이랜드건설2017-04-29 09:02:36I2018-08-31 23:59:59.0<NA>189522.336722441654.010373247800000000<NA>0
43170000C001101110977293L002018-01-242024-01-263폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 60-4 코오롱테크노밸리 401호서울특별시 금천구 디지털로 178, 제비동 20층 제오비-2007, 2008, 2009호 (가산동)8513(주)드림바이오스2024-01-26 16:50:12U2023-11-30 22:08:00.0<NA>189917.493331442031.656022<NA><NA><NA><NA>
53170000C001101111000366L0020070709<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 680번지 우림라이온스밸리 2차 303호서울특별시 금천구 가산디지털1로 2, 303호 (가산동, 우림라이온스밸리2차)<NA>케이씨에너지(주)2012-01-31 15:19:42I2018-08-31 23:59:59.0<NA>190050.903573440523.49747821000000000시추기 1대(Mini T-4 500형) 공기압축기 2대0
63170000C001101111552854L0020120425201605243폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 481-10 벽산디지털밸리2차 1312호서울특별시 금천구 가산디지털2로 184, 13층 1312호 (가산동)<NA>지하정보기술(주)2021-03-09 21:09:54U2021-03-11 02:40:00.0<NA>189127.981105442460.5055422300000000시추기(유압식 로터리 보링기) 1대1
73170000C001101111651672L0020140623201905233폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 481-10번지서울특별시 금천구 가산디지털2로 184, 12층 1208호 (가산동, 벽산지지털벨리 2차)<NA>가진기업(주)2019-05-23 10:17:15U2019-05-25 02:40:00.0<NA>189127.981105442460.5055422400000000<NA>0
83170000C001101111826978L0020090703<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 60-24번지 월드메르디앙1차 1208호서울특별시 금천구 벚꽃로 254, 1208호 (가산동,월드메르디앙1차)<NA>(주)건창이앤텍2012-03-15 13:20:27I2018-08-31 23:59:59.0<NA>189788.849464441731.6104794100000000<NA>0
93170000C001101112158867L0020110411<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 60-15번지 리더스타워 0동 1204호<NA><NA>(주)전엔지니어링2020-04-17 19:10:45U2020-04-19 02:40:00.0<NA>189685.516219442026.4689743200000000지하수위측정기(보유), 복합수질측정기(임대계약)1
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)전문인력총수자본금시설장비타기관이전여부
253170000C001101150015194L002017-09-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 371-28 우림라이온스밸리서울특별시 금천구 가산디지털1로 168, 우림라이온스밸리 B동 804호 (가산동)8507유한책임회사 센도리2023-12-08 17:16:09I2022-11-01 23:00:00.0<NA>189538.020936441982.427935<NA><NA><NA><NA>
263170000C00113138605600000020010712<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 680번지 우림라이온스밸리 2차 303호서울특별시 금천구 가산디지털1로 2, 303호 (가산동, 우림라이온스밸리2차)<NA>정원지질2012-01-31 15:00:33I2018-08-31 23:59:59.0<NA>190050.903573440523.49747823835062911. 착정기1대0
273170000C0011486426500020180503201903293폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 984번지 시흥유통상가서울특별시 금천구 시흥대로 97, 시흥유통상가 30동 350호 (시흥동)<NA>상암지오텍(주)2019-03-29 16:04:59U2019-03-31 02:40:00.0<NA>191226.287379437914.0629983200000000<NA>0
283170000C00119118046800000020200625<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 984 시흥유통상가 13동 327호서울특별시 금천구 시흥대로 97, 시흥유통상가 13동 327호 (시흥동)8639한강그린2021-03-09 21:33:36U2021-03-11 02:40:00.0<NA>191226.287379437914.062998288044000시추기 1대 [R50(미니T40)]0
293170000C00119218053100000020131227<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 493-404번지 대륭테크노타운5차서울특별시 금천구 서부샛길 632 (가산동, 대륭테크노타운5차)<NA>한국지열공사2016-02-15 10:51:12I2018-08-31 23:59:59.0<NA>188979.22579442035.6225612203258776<NA>0
303170000C00120819667700000020090703<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 60-24번지 월드메르디앙 1차 1208호서울특별시 금천구 벚꽃로 254, 1208호 (가산동, 월드메르디앙1차)<NA>(주)건창이앤텍2012-01-31 15:25:08I2018-08-31 23:59:59.0<NA>189788.849464441731.6104794100000000<NA>0
313170000C001341110376405L0020181128<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 60-5번지 갑을그레이트밸리 B동 1204호서울특별시 금천구 디지털로9길 32, 갑을그레이트밸리 B동 1204호 (가산동)<NA>주식회사 파란디에스아이2019-02-01 08:59:05U2019-02-03 02:40:00.0<NA>189982.344533441928.6904022250000000<NA>0
323170000C001341110513388L0020191203<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산디지털1로 58, 에이스한솔타워 1601호 (가산동)8591(주)지에스지이엔지2021-03-23 10:05:40U2021-03-25 02:40:00.0<NA><NA><NA>350000000<NA>0
333170000C00570925167454200020170711<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 984번지서울특별시 금천구 시흥대로 97, 3층 328호 (시흥동, 시흥유통상가)<NA>세린이엔씨2017-07-11 15:21:47I2018-08-31 23:59:59.0<NA>191226.287379437914.062998250000000kr8033D(독일GKLEMM사) 천공기 : 경기22아20000
343170000C00621202162164600020050228<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 279-231번지 2통5반 유성빌라 102호서울특별시 동작구 성대로12가길 24, 102호 (상도동, 유성빌라)<NA>안명섭2012-02-03 15:15:56I2018-08-31 23:59:59.0<NA>194370.115242443846.8036852320000001. 시추기 2. 공기압축기0