Overview

Dataset statistics

Number of variables29
Number of observations52
Missing cells535
Missing cells (%)35.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.8 KiB
Average record size in memory251.5 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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-19149/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신일자 is highly imbalanced (63.5%)Imbalance
인허가취소일자 has 35 (67.3%) missing valuesMissing
폐업일자 has 52 (100.0%) missing valuesMissing
휴업시작일자 has 52 (100.0%) missing valuesMissing
휴업종료일자 has 52 (100.0%) missing valuesMissing
재개업일자 has 52 (100.0%) missing valuesMissing
전화번호 has 52 (100.0%) missing valuesMissing
소재지면적 has 52 (100.0%) missing valuesMissing
소재지우편번호 has 52 (100.0%) missing valuesMissing
지번주소 has 9 (17.3%) missing valuesMissing
도로명주소 has 2 (3.8%) missing valuesMissing
도로명우편번호 has 44 (84.6%) missing valuesMissing
업태구분명 has 52 (100.0%) missing valuesMissing
좌표정보(X) has 3 (5.8%) missing valuesMissing
좌표정보(Y) has 3 (5.8%) missing valuesMissing
전문인력총수 has 5 (9.6%) missing valuesMissing
자본금 has 4 (7.7%) missing valuesMissing
시설장비 has 14 (26.9%) 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 1 (1.9%) zerosZeros
자본금 has 2 (3.8%) zerosZeros

Reproduction

Analysis started2024-04-29 19:51:52.194877
Analysis finished2024-04-29 19:51:52.840699
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
3220000
52 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 52
100.0%

Length

2024-04-30T04:51:52.900647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:51:52.970644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 52
100.0%

관리번호
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-04-30T04:51:53.086564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters988
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

Unique52 ?
Unique (%)100.0%

Sample

1st rowC001101110037740L00
2nd rowC001101110061666L00
3rd rowC001101110072093L00
4th rowC001101110194277L00
5th rowC001101110327729L00
ValueCountFrequency (%)
c001101110037740l00 1
 
1.9%
c001101110061666l00 1
 
1.9%
c001101113721449l00 1
 
1.9%
c001101111584089l00 1
 
1.9%
c001101111826978l00 1
 
1.9%
c001101111917305l00 1
 
1.9%
c001101111974115l00 1
 
1.9%
c001101112074485l00 1
 
1.9%
c001101112074659l00 1
 
1.9%
c001101112191990l00 1
 
1.9%
Other values (42) 42
80.8%
2024-04-30T04:51:53.339606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 336
34.0%
1 284
28.7%
C 52
 
5.3%
L 46
 
4.7%
2 38
 
3.8%
6 36
 
3.6%
3 35
 
3.5%
7 34
 
3.4%
4 34
 
3.4%
5 34
 
3.4%
Other values (2) 59
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 890
90.1%
Uppercase Letter 98
 
9.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 336
37.8%
1 284
31.9%
2 38
 
4.3%
6 36
 
4.0%
3 35
 
3.9%
7 34
 
3.8%
4 34
 
3.8%
5 34
 
3.8%
9 30
 
3.4%
8 29
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
C 52
53.1%
L 46
46.9%

Most occurring scripts

ValueCountFrequency (%)
Common 890
90.1%
Latin 98
 
9.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 336
37.8%
1 284
31.9%
2 38
 
4.3%
6 36
 
4.0%
3 35
 
3.9%
7 34
 
3.8%
4 34
 
3.8%
5 34
 
3.8%
9 30
 
3.4%
8 29
 
3.3%
Latin
ValueCountFrequency (%)
C 52
53.1%
L 46
46.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 988
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 336
34.0%
1 284
28.7%
C 52
 
5.3%
L 46
 
4.7%
2 38
 
3.8%
6 36
 
3.6%
3 35
 
3.5%
7 34
 
3.4%
4 34
 
3.4%
5 34
 
3.4%
Other values (2) 59
 
6.0%

인허가일자
Date

Distinct44
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum1998-01-15 00:00:00
Maximum2021-11-19 00:00:00
2024-04-30T04:51:53.464641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:51:53.598475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

인허가취소일자
Date

MISSING 

Distinct14
Distinct (%)82.4%
Missing35
Missing (%)67.3%
Memory size548.0 B
Minimum2003-06-17 00:00:00
Maximum2022-01-06 00:00:00
2024-04-30T04:51:53.694761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:51:53.771985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

영업상태코드
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
1
35 
3
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 35
67.3%
3 17
32.7%

Length

2024-04-30T04:51:53.863656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:51:53.938901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 35
67.3%
3 17
32.7%

영업상태명
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
영업/정상
35 
폐업
17 

Length

Max length5
Median length5
Mean length4.0192308
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 35
67.3%
폐업 17
32.7%

Length

2024-04-30T04:51:54.024997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:51:54.119883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 35
67.3%
폐업 17
32.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
1
35 
2
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 35
67.3%
2 17
32.7%

Length

2024-04-30T04:51:54.216271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:51:54.297215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 35
67.3%
2 17
32.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
영업
35 
취소정지업체
17 

Length

Max length6
Median length2
Mean length3.3076923
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 35
67.3%
취소정지업체 17
32.7%

Length

2024-04-30T04:51:54.403336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:51:54.503350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 35
67.3%
취소정지업체 17
32.7%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

지번주소
Text

MISSING 

Distinct41
Distinct (%)95.3%
Missing9
Missing (%)17.3%
Memory size548.0 B
2024-04-30T04:51:54.690349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length25.674419
Min length19

Characters and Unicode

Total characters1104
Distinct characters78
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)90.7%

Sample

1st row서울특별시 강남구 역삼동 832-40
2nd row서울특별시 강남구 삼성동 160-23번지
3rd row서울특별시 강남구 논현동 124-2번지
4th row서울특별시 강남구 논현동 97-20번지
5th row서울특별시 강남구 개포동 206번지
ValueCountFrequency (%)
서울특별시 43
21.3%
강남구 43
21.3%
개포동 9
 
4.5%
도곡동 6
 
3.0%
논현동 6
 
3.0%
역삼동 6
 
3.0%
삼성동 5
 
2.5%
수서동 3
 
1.5%
대치동 3
 
1.5%
신사동 3
 
1.5%
Other values (71) 75
37.1%
2024-04-30T04:51:55.022979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196
 
17.8%
1 51
 
4.6%
동 48
 
4.3%
서 46
 
4.2%
남 43
 
3.9%
구 43
 
3.9%
울 43
 
3.9%
강 43
 
3.9%
시 43
 
3.9%
별 43
 
3.9%
Other values (68) 505
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 639
57.9%
Decimal Number 228
 
20.7%
Space Separator 196
 
17.8%
Dash Punctuation 37
 
3.4%
Open Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%
Close Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 48
 
7.5%
서 46
 
7.2%
남 43
 
6.7%
구 43
 
6.7%
울 43
 
6.7%
강 43
 
6.7%
시 43
 
6.7%
별 43
 
6.7%
특 43
 
6.7%
지 40
 
6.3%
Other values (52) 204
31.9%
Decimal Number
ValueCountFrequency (%)
1 51
22.4%
2 35
15.4%
3 23
10.1%
5 22
9.6%
4 22
9.6%
6 19
 
8.3%
0 17
 
7.5%
8 16
 
7.0%
7 12
 
5.3%
9 11
 
4.8%
Space Separator
ValueCountFrequency (%)
196
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 639
57.9%
Common 464
42.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 48
 
7.5%
서 46
 
7.2%
남 43
 
6.7%
구 43
 
6.7%
울 43
 
6.7%
강 43
 
6.7%
시 43
 
6.7%
별 43
 
6.7%
특 43
 
6.7%
지 40
 
6.3%
Other values (52) 204
31.9%
Common
ValueCountFrequency (%)
196
42.2%
1 51
 
11.0%
- 37
 
8.0%
2 35
 
7.5%
3 23
 
5.0%
5 22
 
4.7%
4 22
 
4.7%
6 19
 
4.1%
0 17
 
3.7%
8 16
 
3.4%
Other values (5) 26
 
5.6%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 639
57.9%
ASCII 465
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
196
42.2%
1 51
 
11.0%
- 37
 
8.0%
2 35
 
7.5%
3 23
 
4.9%
5 22
 
4.7%
4 22
 
4.7%
6 19
 
4.1%
0 17
 
3.7%
8 16
 
3.4%
Other values (6) 27
 
5.8%
Hangul
ValueCountFrequency (%)
동 48
 
7.5%
서 46
 
7.2%
남 43
 
6.7%
구 43
 
6.7%
울 43
 
6.7%
강 43
 
6.7%
시 43
 
6.7%
별 43
 
6.7%
특 43
 
6.7%
지 40
 
6.3%
Other values (52) 204
31.9%

도로명주소
Text

MISSING 

Distinct48
Distinct (%)96.0%
Missing2
Missing (%)3.8%
Memory size548.0 B
2024-04-30T04:51:55.271101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length29.9
Min length23

Characters and Unicode

Total characters1495
Distinct characters108
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)92.0%

Sample

1st row서울특별시 강남구 삼성로 438 (대치동)
2nd row서울특별시 강남구 역삼로4길 8 (역삼동)
3rd row서울특별시 강남구 영동대로106길 11 (삼성동)
4th row서울특별시 강남구 언주로 726, 두산빌딩 (논현동)
5th row서울특별시 강남구 학동로 124 (논현동)
ValueCountFrequency (%)
서울특별시 49
 
17.0%
강남구 49
 
17.0%
논현동 7
 
2.4%
개포동 7
 
2.4%
역삼동 7
 
2.4%
도곡동 6
 
2.1%
3층 5
 
1.7%
도곡로8길 3
 
1.0%
8 3
 
1.0%
13 3
 
1.0%
Other values (122) 150
51.9%
2024-04-30T04:51:55.619829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
239
 
16.0%
동 62
 
4.1%
서 54
 
3.6%
강 54
 
3.6%
남 54
 
3.6%
( 50
 
3.3%
시 50
 
3.3%
구 50
 
3.3%
로 50
 
3.3%
) 50
 
3.3%
Other values (98) 782
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 876
58.6%
Space Separator 239
 
16.0%
Decimal Number 234
 
15.7%
Open Punctuation 50
 
3.3%
Close Punctuation 50
 
3.3%
Other Punctuation 35
 
2.3%
Dash Punctuation 6
 
0.4%
Uppercase Letter 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 62
 
7.1%
서 54
 
6.2%
강 54
 
6.2%
남 54
 
6.2%
시 50
 
5.7%
구 50
 
5.7%
로 50
 
5.7%
특 49
 
5.6%
별 49
 
5.6%
울 49
 
5.6%
Other values (78) 355
40.5%
Decimal Number
ValueCountFrequency (%)
1 48
20.5%
2 41
17.5%
3 27
11.5%
0 24
10.3%
8 22
9.4%
4 21
9.0%
6 20
8.5%
5 17
 
7.3%
9 7
 
3.0%
7 7
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
20.0%
B 1
20.0%
T 1
20.0%
I 1
20.0%
D 1
20.0%
Space Separator
ValueCountFrequency (%)
239
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 876
58.6%
Common 614
41.1%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 62
 
7.1%
서 54
 
6.2%
강 54
 
6.2%
남 54
 
6.2%
시 50
 
5.7%
구 50
 
5.7%
로 50
 
5.7%
특 49
 
5.6%
별 49
 
5.6%
울 49
 
5.6%
Other values (78) 355
40.5%
Common
ValueCountFrequency (%)
239
38.9%
( 50
 
8.1%
) 50
 
8.1%
1 48
 
7.8%
2 41
 
6.7%
, 35
 
5.7%
3 27
 
4.4%
0 24
 
3.9%
8 22
 
3.6%
4 21
 
3.4%
Other values (5) 57
 
9.3%
Latin
ValueCountFrequency (%)
A 1
20.0%
B 1
20.0%
T 1
20.0%
I 1
20.0%
D 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 876
58.6%
ASCII 619
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
239
38.6%
( 50
 
8.1%
) 50
 
8.1%
1 48
 
7.8%
2 41
 
6.6%
, 35
 
5.7%
3 27
 
4.4%
0 24
 
3.9%
8 22
 
3.6%
4 21
 
3.4%
Other values (10) 62
 
10.0%
Hangul
ValueCountFrequency (%)
동 62
 
7.1%
서 54
 
6.2%
강 54
 
6.2%
남 54
 
6.2%
시 50
 
5.7%
구 50
 
5.7%
로 50
 
5.7%
특 49
 
5.6%
별 49
 
5.6%
울 49
 
5.6%
Other values (78) 355
40.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing44
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean6277.625
Minimum6227
Maximum6349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-30T04:51:55.717186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6227
5-th percentile6232.25
Q16243.5
median6276.5
Q36301.5
95-th percentile6333.95
Maximum6349
Range122
Interquartile range (IQR)58

Descriptive statistics

Standard deviation41.620522
Coefficient of variation (CV)0.006629979
Kurtosis-0.71771784
Mean6277.625
Median Absolute Deviation (MAD)31
Skewness0.48112636
Sum50221
Variance1732.2679
MonotonicityNot monotonic
2024-04-30T04:51:55.815475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6257 1
 
1.9%
6242 1
 
1.9%
6227 1
 
1.9%
6296 1
 
1.9%
6300 1
 
1.9%
6244 1
 
1.9%
6306 1
 
1.9%
6349 1
 
1.9%
(Missing) 44
84.6%
ValueCountFrequency (%)
6227 1
1.9%
6242 1
1.9%
6244 1
1.9%
6257 1
1.9%
6296 1
1.9%
6300 1
1.9%
6306 1
1.9%
6349 1
1.9%
ValueCountFrequency (%)
6349 1
1.9%
6306 1
1.9%
6300 1
1.9%
6296 1
1.9%
6257 1
1.9%
6244 1
1.9%
6242 1
1.9%
6227 1
1.9%

사업장명
Text

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-04-30T04:51:55.997077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.5769231
Min length3

Characters and Unicode

Total characters394
Distinct characters107
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

Unique50 ?
Unique (%)96.2%

Sample

1st row(주)도화엔지니어링
2nd row주식회사 유신
3rd row(주)동아컨설턴트
4th row두산건설(주)
5th row태우기초개발
ValueCountFrequency (%)
용천지하수개발공사 2
 
3.8%
㈜대명엔지니어링 1
 
1.9%
주)세경지질 1
 
1.9%
씨앤에치아이앤씨(주 1
 
1.9%
성우지앤씨 1
 
1.9%
㈜지인엔지니어링 1
 
1.9%
㈜새터기술 1
 
1.9%
주)한길지오텍 1
 
1.9%
주)두인이엔씨 1
 
1.9%
주)에이스올 1
 
1.9%
Other values (42) 42
79.2%
2024-04-30T04:51:56.338733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 31
 
7.9%
주 27
 
6.9%
) 26
 
6.6%
( 25
 
6.3%
㈜ 15
 
3.8%
엔 12
 
3.0%
이 12
 
3.0%
개 9
 
2.3%
발 9
 
2.3%
질 9
 
2.3%
Other values (97) 219
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 327
83.0%
Close Punctuation 26
 
6.6%
Open Punctuation 25
 
6.3%
Other Symbol 15
 
3.8%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 31
 
9.5%
주 27
 
8.3%
엔 12
 
3.7%
이 12
 
3.7%
개 9
 
2.8%
발 9
 
2.8%
질 9
 
2.8%
씨 9
 
2.8%
기 8
 
2.4%
어 7
 
2.1%
Other values (93) 194
59.3%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 15
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 342
86.8%
Common 52
 
13.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 31
 
9.1%
주 27
 
7.9%
㈜ 15
 
4.4%
엔 12
 
3.5%
이 12
 
3.5%
개 9
 
2.6%
발 9
 
2.6%
질 9
 
2.6%
씨 9
 
2.6%
기 8
 
2.3%
Other values (94) 201
58.8%
Common
ValueCountFrequency (%)
) 26
50.0%
( 25
48.1%
1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 327
83.0%
ASCII 52
 
13.2%
None 15
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 31
 
9.5%
주 27
 
8.3%
엔 12
 
3.7%
이 12
 
3.7%
개 9
 
2.8%
발 9
 
2.8%
질 9
 
2.8%
씨 9
 
2.8%
기 8
 
2.4%
어 7
 
2.1%
Other values (93) 194
59.3%
ASCII
ValueCountFrequency (%)
) 26
50.0%
( 25
48.1%
1
 
1.9%
None
ValueCountFrequency (%)
㈜ 15
100.0%

최종수정일자
Date

Distinct48
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2003-05-01 22:48:03
Maximum2024-04-23 14:21:14
2024-04-30T04:51:56.463127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:51:56.571730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
I
45 
U
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 45
86.5%
U 7
 
13.5%

Length

2024-04-30T04:51:56.691067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:51:56.768200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 45
86.5%
u 7
 
13.5%

데이터갱신일자
Categorical

IMBALANCE 

Distinct10
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
2018-08-31 23:59:59.0
43 
2022-11-01 00:01:00.0
 
1
2023-12-03 22:05:00.0
 
1
2022-11-02 00:03:00.0
 
1
2022-12-02 00:05:00.0
 
1
Other values (5)
5 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique9 ?
Unique (%)17.3%

Sample

1st row2022-11-01 00:01:00.0
2nd row2023-12-03 22:05:00.0
3rd row2018-08-31 23:59:59.0
4th row2022-11-02 00:03:00.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 43
82.7%
2022-11-01 00:01:00.0 1
 
1.9%
2023-12-03 22:05:00.0 1
 
1.9%
2022-11-02 00:03:00.0 1
 
1.9%
2022-12-02 00:05:00.0 1
 
1.9%
2021-08-19 00:22:51.0 1
 
1.9%
2021-08-26 02:40:00.0 1
 
1.9%
2018-09-10 23:59:59.0 1
 
1.9%
2022-03-10 02:40:00.0 1
 
1.9%
2019-01-02 02:20:35.0 1
 
1.9%

Length

2024-04-30T04:51:56.856816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:51:56.958113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
23:59:59.0 44
42.3%
2018-08-31 43
41.3%
02:40:00.0 2
 
1.9%
2019-01-02 1
 
1.0%
2022-03-10 1
 
1.0%
2018-09-10 1
 
1.0%
2021-08-26 1
 
1.0%
00:22:51.0 1
 
1.0%
2021-08-19 1
 
1.0%
00:05:00.0 1
 
1.0%
Other values (8) 8
 
7.7%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)91.8%
Missing3
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean204198.04
Minimum199121.92
Maximum209221.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-30T04:51:57.069164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199121.92
5-th percentile202178.77
Q1202741.38
median203888.91
Q3204751.51
95-th percentile209107.13
Maximum209221.35
Range10099.432
Interquartile range (IQR)2010.127

Descriptive statistics

Standard deviation2112.8977
Coefficient of variation (CV)0.010347297
Kurtosis1.4012076
Mean204198.04
Median Absolute Deviation (MAD)1115.6789
Skewness1.0047064
Sum10005704
Variance4464336.8
MonotonicityNot monotonic
2024-04-30T04:51:57.185217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
203041.715702509 2
 
3.8%
202270.98985628 2
 
3.8%
202723.08 2
 
3.8%
202587.580788273 2
 
3.8%
205621.512445901 1
 
1.9%
202406.050086733 1
 
1.9%
204151.555648093 1
 
1.9%
203582.439254494 1
 
1.9%
199121.920450955 1
 
1.9%
204348.785 1
 
1.9%
Other values (35) 35
67.3%
(Missing) 3
 
5.8%
ValueCountFrequency (%)
199121.920450955 1
1.9%
201964.727903398 1
1.9%
202117.295 1
1.9%
202270.98985628 2
3.8%
202406.050086733 1
1.9%
202587.580788273 2
3.8%
202667.551184905 1
1.9%
202700.53624861 1
1.9%
202723.08 2
3.8%
202741.379034107 1
1.9%
ValueCountFrequency (%)
209221.352557092 1
1.9%
209144.783150288 1
1.9%
209118.310773255 1
1.9%
209090.360365095 1
1.9%
209062.201821883 1
1.9%
207478.291904113 1
1.9%
205711.507256706 1
1.9%
205621.512445901 1
1.9%
205416.878644311 1
1.9%
205205.876859756 1
1.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)91.8%
Missing3
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean443636.24
Minimum433212.83
Maximum447108.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-30T04:51:57.292008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum433212.83
5-th percentile441455.62
Q1442569.11
median443364.77
Q3445271.79
95-th percentile446408.41
Maximum447108.56
Range13895.729
Interquartile range (IQR)2702.6785

Descriptive statistics

Standard deviation2209.9338
Coefficient of variation (CV)0.0049814096
Kurtosis9.2006146
Mean443636.24
Median Absolute Deviation (MAD)1410.4842
Skewness-1.9956001
Sum21738176
Variance4883807.5
MonotonicityNot monotonic
2024-04-30T04:51:57.398343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
443080.510187766 2
 
3.8%
445547.402978401 2
 
3.8%
443364.765 2
 
3.8%
447108.55741274 2
 
3.8%
445783.438401745 1
 
1.9%
445595.169244857 1
 
1.9%
441769.083699175 1
 
1.9%
443739.380240587 1
 
1.9%
433212.828910976 1
 
1.9%
441325.94 1
 
1.9%
Other values (35) 35
67.3%
(Missing) 3
 
5.8%
ValueCountFrequency (%)
433212.828910976 1
1.9%
441325.94 1
1.9%
441429.169417392 1
1.9%
441495.307096338 1
1.9%
441596.908336055 1
1.9%
441769.083699175 1
1.9%
441896.130882404 1
1.9%
441898.453101816 1
1.9%
442176.616372 1
1.9%
442266.002463997 1
1.9%
ValueCountFrequency (%)
447108.55741274 2
3.8%
446489.639220708 1
1.9%
446286.56494032 1
1.9%
446242.882854031 1
1.9%
445783.438401745 1
1.9%
445710.731605667 1
1.9%
445642.854350121 1
1.9%
445595.169244857 1
1.9%
445547.402978401 2
3.8%
445522.175 1
1.9%

전문인력총수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)19.1%
Missing5
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean3.6170213
Minimum0
Maximum25
Zeros1
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-30T04:51:57.498454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median2
Q34
95-th percentile8
Maximum25
Range25
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.8479424
Coefficient of variation (CV)1.0638429
Kurtosis21.126131
Mean3.6170213
Median Absolute Deviation (MAD)0
Skewness4.167319
Sum170
Variance14.80666
MonotonicityNot monotonic
2024-04-30T04:51:57.605010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 27
51.9%
3 6
 
11.5%
4 4
 
7.7%
5 3
 
5.8%
7 2
 
3.8%
8 2
 
3.8%
0 1
 
1.9%
25 1
 
1.9%
12 1
 
1.9%
(Missing) 5
 
9.6%
ValueCountFrequency (%)
0 1
 
1.9%
2 27
51.9%
3 6
 
11.5%
4 4
 
7.7%
5 3
 
5.8%
7 2
 
3.8%
8 2
 
3.8%
12 1
 
1.9%
25 1
 
1.9%
ValueCountFrequency (%)
25 1
 
1.9%
12 1
 
1.9%
8 2
 
3.8%
7 2
 
3.8%
5 3
 
5.8%
4 4
 
7.7%
3 6
 
11.5%
2 27
51.9%
0 1
 
1.9%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)45.8%
Missing4
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean2.33076 × 108
Minimum0
Maximum1.21 × 109
Zeros2
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-04-30T04:51:57.898599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile42278000
Q197750000
median1.75 × 108
Q33 × 108
95-th percentile7.2334903 × 108
Maximum1.21 × 109
Range1.21 × 109
Interquartile range (IQR)2.0225 × 108

Descriptive statistics

Standard deviation2.4610886 × 108
Coefficient of variation (CV)1.0559168
Kurtosis6.1184353
Mean2.33076 × 108
Median Absolute Deviation (MAD)98000000
Skewness2.3378906
Sum1.1187648 × 1010
Variance6.056957 × 1016
MonotonicityNot monotonic
2024-04-30T04:51:58.013129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
200000000 7
13.5%
100000000 6
11.5%
300000000 6
11.5%
50000000 5
9.6%
110000000 3
 
5.8%
150000000 2
 
3.8%
250000000 2
 
3.8%
42278000 2
 
3.8%
0 2
 
3.8%
70000000 1
 
1.9%
Other values (12) 12
23.1%
(Missing) 4
 
7.7%
ValueCountFrequency (%)
0 2
 
3.8%
42278000 2
 
3.8%
50000000 5
9.6%
55000000 1
 
1.9%
70000000 1
 
1.9%
91000000 1
 
1.9%
100000000 6
11.5%
110000000 3
5.8%
120000000 1
 
1.9%
150000000 2
 
3.8%
ValueCountFrequency (%)
1210000000 1
 
1.9%
1000000000 1
 
1.9%
800000000 1
 
1.9%
580997220 1
 
1.9%
580000000 1
 
1.9%
500000000 1
 
1.9%
400000000 1
 
1.9%
300000000 6
11.5%
266000000 1
 
1.9%
250094970 1
 
1.9%

시설장비
Text

MISSING 

Distinct33
Distinct (%)86.8%
Missing14
Missing (%)26.9%
Memory size548.0 B
2024-04-30T04:51:58.167326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length23
Mean length17.842105
Min length3

Characters and Unicode

Total characters678
Distinct characters92
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 (%)76.3%

Sample

1st row1. 유압시추기 1 대
2nd row1. 시추기 1대
3rd row1. 시추기 1 대 2. 착정기 1 대
4th row건설기계명 : 천공기(1대) 형식 : GJ-0336 규격 : 250mm 등록번호 : 인천22마5066
5th row1. 시추기 1 대 2. 착정기 1 대
ValueCountFrequency (%)
1 42
26.2%
대 22
13.8%
시추기 9
 
5.6%
천공기 9
 
5.6%
2 8
 
5.0%
8
 
5.0%
1대 5
 
3.1%
공기압축기 4
 
2.5%
유압시추기 2
 
1.2%
등록번호 2
 
1.2%
Other values (43) 49
30.6%
2024-04-30T04:51:58.454634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
18.0%
1 55
 
8.1%
기 51
 
7.5%
0 37
 
5.5%
대 30
 
4.4%
. 28
 
4.1%
시 19
 
2.8%
추 19
 
2.8%
공 18
 
2.7%
2 16
 
2.4%
Other values (82) 283
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 263
38.8%
Decimal Number 143
21.1%
Space Separator 122
18.0%
Uppercase Letter 51
 
7.5%
Other Punctuation 40
 
5.9%
Open Punctuation 15
 
2.2%
Close Punctuation 15
 
2.2%
Dash Punctuation 15
 
2.2%
Lowercase Letter 14
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 51
19.4%
대 30
 
11.4%
시 19
 
7.2%
추 19
 
7.2%
공 18
 
6.8%
천 14
 
5.3%
압 11
 
4.2%
착 9
 
3.4%
정 7
 
2.7%
유 6
 
2.3%
Other values (41) 79
30.0%
Uppercase Letter
ValueCountFrequency (%)
S 9
17.6%
P 8
15.7%
D 5
9.8%
T 5
9.8%
J 3
 
5.9%
B 3
 
5.9%
O 3
 
5.9%
H 2
 
3.9%
Y 2
 
3.9%
R 2
 
3.9%
Other values (6) 9
17.6%
Lowercase Letter
ValueCountFrequency (%)
m 3
21.4%
t 2
14.3%
s 2
14.3%
e 2
14.3%
k 1
 
7.1%
g 1
 
7.1%
l 1
 
7.1%
n 1
 
7.1%
i 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 55
38.5%
0 37
25.9%
2 16
 
11.2%
3 9
 
6.3%
4 9
 
6.3%
6 8
 
5.6%
5 7
 
4.9%
8 2
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 28
70.0%
: 8
 
20.0%
, 3
 
7.5%
/ 1
 
2.5%
Space Separator
ValueCountFrequency (%)
122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 350
51.6%
Hangul 263
38.8%
Latin 65
 
9.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 51
19.4%
대 30
 
11.4%
시 19
 
7.2%
추 19
 
7.2%
공 18
 
6.8%
천 14
 
5.3%
압 11
 
4.2%
착 9
 
3.4%
정 7
 
2.7%
유 6
 
2.3%
Other values (41) 79
30.0%
Latin
ValueCountFrequency (%)
S 9
13.8%
P 8
 
12.3%
D 5
 
7.7%
T 5
 
7.7%
m 3
 
4.6%
J 3
 
4.6%
B 3
 
4.6%
O 3
 
4.6%
H 2
 
3.1%
t 2
 
3.1%
Other values (15) 22
33.8%
Common
ValueCountFrequency (%)
122
34.9%
1 55
15.7%
0 37
 
10.6%
. 28
 
8.0%
2 16
 
4.6%
( 15
 
4.3%
) 15
 
4.3%
- 15
 
4.3%
3 9
 
2.6%
4 9
 
2.6%
Other values (6) 29
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 415
61.2%
Hangul 263
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
29.4%
1 55
13.3%
0 37
 
8.9%
. 28
 
6.7%
2 16
 
3.9%
( 15
 
3.6%
) 15
 
3.6%
- 15
 
3.6%
S 9
 
2.2%
3 9
 
2.2%
Other values (31) 94
22.7%
Hangul
ValueCountFrequency (%)
기 51
19.4%
대 30
 
11.4%
시 19
 
7.2%
추 19
 
7.2%
공 18
 
6.8%
천 14
 
5.3%
압 11
 
4.2%
착 9
 
3.4%
정 7
 
2.7%
유 6
 
2.3%
Other values (41) 79
30.0%

타기관이전여부
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
0
40 
1
8 
<NA>
 
4

Length

Max length4
Median length1
Mean length1.2307692
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row1
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 40
76.9%
1 8
 
15.4%
<NA> 4
 
7.7%

Length

2024-04-30T04:51:58.578769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:51:58.665387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 40
76.9%
1 8
 
15.4%
na 4
 
7.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)전문인력총수자본금시설장비타기관이전여부
03220000C001101110037740L002015-04-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성로 438 (대치동)<NA>(주)도화엔지니어링2023-10-30 14:08:01U2022-11-01 00:01:00.0<NA>205010.852416444887.348385<NA><NA><NA><NA>
13220000C001101110061666L002016-05-24<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 832-40서울특별시 강남구 역삼로4길 8 (역삼동)<NA>주식회사 유신2024-04-23 14:21:14U2023-12-03 22:05:00.0<NA>202741.379034443413.449625<NA><NA><NA><NA>
23220000C001101110072093L0019980417200907243폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 160-23번지서울특별시 강남구 영동대로106길 11 (삼성동)<NA>(주)동아컨설턴트2009-07-24 15:52:06I2018-08-31 23:59:59.0<NA>205416.878644445710.731606210000000001. 유압시추기 1 대1
33220000C001101110194277L002021-11-192022-01-063폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 언주로 726, 두산빌딩 (논현동)<NA>두산건설(주)2023-12-01 09:45:19U2022-11-02 00:03:00.0<NA><NA><NA><NA><NA><NA><NA>
43220000C001101110327729L0019980220<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 124-2번지서울특별시 강남구 학동로 124 (논현동)<NA>태우기초개발2003-05-01 22:48:03I2018-08-31 23:59:59.0<NA>202117.295445522.17532000000001. 시추기 1대0
53220000C001101110329345L0019980211200501283폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 97-20번지서울특별시 강남구 언주로148길 7 (논현동)<NA>㈜유림지질2008-03-13 14:50:00I2018-08-31 23:59:59.0<NA>203038.852488446489.63922131100000001. 시추기 1 대 2. 착정기 1 대1
63220000C001101110336978L0020151031<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 도곡로 185 (역삼동, 하나기연빌딩)6257(주)하나기연2015-10-31 13:27:14I2018-08-31 23:59:59.0<NA>203433.354685443348.9444882500000000건설기계명 : 천공기(1대) 형식 : GJ-0336 규격 : 250mm 등록번호 : 인천22마50660
73220000C001101110548783L0019980202200510173폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 개포동 206번지<NA><NA>㈜삼원지질2007-11-07 17:54:01I2018-08-31 23:59:59.0<NA><NA><NA>21000000001. 시추기 1 대 2. 착정기 1 대0
83220000C001101110564446L0019980217<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 641-17번지 한라빌딩 3층서울특별시 강남구 테헤란로25길 30 (역삼동,한라빌딩 3층)<NA>㈜정림엔지니어링2013-09-02 14:16:27I2018-08-31 23:59:59.0<NA>203054.572596444486.053667300000000<NA>0
93220000C001101110584783L0020040412201606163폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 개포동 1195-13번지서울특별시 강남구 논현로12길 3-14 (개포동)<NA>(주)만선지오쓰2017-07-27 09:05:12I2018-08-31 23:59:59.0<NA>204189.182513441429.16941700<NA>0
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)전문인력총수자본금시설장비타기관이전여부
423220000C001101115811727L0020180827<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 개포로 229, 정원빌딩 5층 501호 (개포동)6306(주)다온지오이엔지2018-09-10 20:41:56U2018-09-10 23:59:59.0<NA>204225.667018442176.6163725100000000시추기(지반조사용) SP4500SD1
433220000C001102710012554L0020101130<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 수서동 714-4서울특별시 강남구 광평로51길 6-11, 3층 (수서동, 문암빌딩)<NA>한국지하수지열협회2022-03-07 10:39:02U2022-03-10 02:40:00.0<NA>209062.201822442929.57281270000000천공기(MS-0632)1
443220000C001341110074562L0020091102<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 밤고개로1길 38, 그린빌 B동 501호 (수서동)6349(주)창대이엔씨2018-12-31 13:42:29I2019-01-02 02:20:35.0<NA>209118.310773442967.884048<NA>100000000<NA>0
453220000C00142040753300000020040430<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 자곡동 204-1번지서울특별시 강남구 밤고개로 127 (자곡동)<NA>서광지하수개발2009-02-04 16:25:39I2018-08-31 23:59:59.0<NA>209221.352557442300.680567255000000착정기(미니-T)0
463220000C001501110082987L0020160706<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 도곡동 424-1번지 명선빌딩(3층)서울특별시 강남구 논현로28길 12, 3층 (도곡동, 명선빌딩)<NA>(주)삼일씨이씨2016-07-06 13:35:56I2018-08-31 23:59:59.0<NA>203808.645388442266.0024642150000000P-4000SD0
473220000C00211038840300000020030331200704163폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 125-11번지서울특별시 강남구 강남대로128길 63 (논현동)<NA>용천지하수개발공사2007-04-16 11:11:31I2018-08-31 23:59:59.0<NA>202270.989856445547.402978242278000착정기(미니T-4), 원동기10HP0
483220000C00211719369500000020030331<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 125-11번지서울특별시 강남구 강남대로128길 63 (논현동)<NA>용천지하수개발공사2011-09-08 14:37:23I2018-08-31 23:59:59.0<NA>202270.989856445547.402978242278000<NA>0
493220000C00213015308900000019980115200504043폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 개포동 187-10번지<NA><NA>세경지질기술사사무소2007-06-27 14:54:27I2018-08-31 23:59:59.0<NA><NA><NA>2910000001. 시추기 1대0
503220000C00213166394100000019990808<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 수서동 716번지 한신사이룩스동관804호서울특별시 강남구 광평로 295 (수서동,한신사이룩스동관804호)<NA>서한개발2006-05-15 09:31:45I2018-08-31 23:59:59.0<NA>209144.78315442922.61132725800000001. 천공기 1 대0
513220000C00540414102621200020060515200907243폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 수서동 712번지 23통3반 한아름아파트 106동 1402호서울특별시 강남구 광평로51길 22, 106동 1402호 (수서동,한아름아파트)<NA>임기조2009-07-24 15:46:38I2018-08-31 23:59:59.0<NA>209090.360365443035.057752580997220천공기0