Overview

Dataset statistics

Number of variables29
Number of observations48
Missing cells531
Missing cells (%)38.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.8 KiB
Average record size in memory252.8 B

Variable types

Categorical8
Text5
DateTime3
Numeric5
Unsupported8

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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-19150/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 42 (87.5%) missing valuesMissing
폐업일자 has 48 (100.0%) missing valuesMissing
휴업시작일자 has 48 (100.0%) missing valuesMissing
휴업종료일자 has 48 (100.0%) missing valuesMissing
재개업일자 has 48 (100.0%) missing valuesMissing
전화번호 has 48 (100.0%) missing valuesMissing
소재지면적 has 48 (100.0%) missing valuesMissing
소재지우편번호 has 48 (100.0%) missing valuesMissing
지번주소 has 16 (33.3%) missing valuesMissing
도로명주소 has 1 (2.1%) missing valuesMissing
도로명우편번호 has 29 (60.4%) missing valuesMissing
업태구분명 has 48 (100.0%) missing valuesMissing
좌표정보(X) has 9 (18.8%) missing valuesMissing
좌표정보(Y) has 9 (18.8%) missing valuesMissing
자본금 has 17 (35.4%) missing valuesMissing
시설장비 has 24 (50.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 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 09:47:00.964407
Analysis finished2024-04-06 09:47:01.643578
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
3230000
48 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 48
100.0%

Length

2024-04-06T18:47:01.773004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:47:01.944326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 48
100.0%

관리번호
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-04-06T18:47:02.220950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length18.854167
Min length12

Characters and Unicode

Total characters905
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

Unique48 ?
Unique (%)100.0%

Sample

1st rowC001101110274699L00
2nd rowC001101110337174L00
3rd rowC001101110639778L00
4th rowC001101110675433L00
5th rowC001101110768056L00
ValueCountFrequency (%)
c001101110274699l00 1
 
2.1%
c001101110337174l00 1
 
2.1%
c001101114976481l00 1
 
2.1%
c001101113383489l00 1
 
2.1%
c001101113422865l00 1
 
2.1%
c001101113533563l00 1
 
2.1%
c001101113572272l00 1
 
2.1%
c001101113656779l00 1
 
2.1%
c001101113995698l00 1
 
2.1%
c001101114434265l00 1
 
2.1%
Other values (38) 38
79.2%
2024-04-06T18:47:02.816587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 281
31.0%
1 254
28.1%
C 48
 
5.3%
2 48
 
5.3%
L 46
 
5.1%
3 42
 
4.6%
4 36
 
4.0%
5 35
 
3.9%
7 33
 
3.6%
6 32
 
3.5%
Other values (2) 50
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 811
89.6%
Uppercase Letter 94
 
10.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 281
34.6%
1 254
31.3%
2 48
 
5.9%
3 42
 
5.2%
4 36
 
4.4%
5 35
 
4.3%
7 33
 
4.1%
6 32
 
3.9%
9 27
 
3.3%
8 23
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
C 48
51.1%
L 46
48.9%

Most occurring scripts

ValueCountFrequency (%)
Common 811
89.6%
Latin 94
 
10.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 281
34.6%
1 254
31.3%
2 48
 
5.9%
3 42
 
5.2%
4 36
 
4.4%
5 35
 
4.3%
7 33
 
4.1%
6 32
 
3.9%
9 27
 
3.3%
8 23
 
2.8%
Latin
ValueCountFrequency (%)
C 48
51.1%
L 46
48.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 905
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 281
31.0%
1 254
28.1%
C 48
 
5.3%
2 48
 
5.3%
L 46
 
5.1%
3 42
 
4.6%
4 36
 
4.0%
5 35
 
3.9%
7 33
 
3.6%
6 32
 
3.5%
Other values (2) 50
 
5.5%

인허가일자
Date

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum1997-10-02 00:00:00
Maximum2023-08-31 00:00:00
2024-04-06T18:47:03.157821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:47:03.399657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing42
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean20125796
Minimum20021102
Maximum20170811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-06T18:47:03.587719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20021102
5-th percentile20043634
Q120113448
median20140660
Q320168041
95-th percentile20170687
Maximum20170811
Range149709
Interquartile range (IQR)54593.25

Descriptive statistics

Standard deviation57390.457
Coefficient of variation (CV)0.0028515869
Kurtosis2.1252741
Mean20125796
Median Absolute Deviation (MAD)29544
Skewness-1.4711338
Sum1.2075478 × 108
Variance3.2936645 × 109
MonotonicityNot monotonic
2024-04-06T18:47:03.794896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20161215 1
 
2.1%
20170811 1
 
2.1%
20111228 1
 
2.1%
20021102 1
 
2.1%
20120106 1
 
2.1%
20170316 1
 
2.1%
(Missing) 42
87.5%
ValueCountFrequency (%)
20021102 1
2.1%
20111228 1
2.1%
20120106 1
2.1%
20161215 1
2.1%
20170316 1
2.1%
20170811 1
2.1%
ValueCountFrequency (%)
20170811 1
2.1%
20170316 1
2.1%
20161215 1
2.1%
20120106 1
2.1%
20111228 1
2.1%
20021102 1
2.1%

영업상태코드
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
1
42 
3
6 

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 42
87.5%
3 6
 
12.5%

Length

2024-04-06T18:47:04.084694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:47:04.254416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
87.5%
3 6
 
12.5%

영업상태명
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
영업/정상
42 
폐업
6 

Length

Max length5
Median length5
Mean length4.625
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 42
87.5%
폐업 6
 
12.5%

Length

2024-04-06T18:47:04.440098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:47:04.630977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 42
87.5%
폐업 6
 
12.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
1
42 
2
6 

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 42
87.5%
2 6
 
12.5%

Length

2024-04-06T18:47:04.796230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:47:04.944723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
87.5%
2 6
 
12.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
영업
42 
취소정지업체
6 

Length

Max length6
Median length2
Mean length2.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 42
87.5%
취소정지업체 6
 
12.5%

Length

2024-04-06T18:47:05.143247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:47:05.359975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 42
87.5%
취소정지업체 6
 
12.5%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

지번주소
Text

MISSING 

Distinct31
Distinct (%)96.9%
Missing16
Missing (%)33.3%
Memory size516.0 B
2024-04-06T18:47:05.723464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length26.75
Min length16

Characters and Unicode

Total characters856
Distinct characters90
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

Unique30 ?
Unique (%)93.8%

Sample

1st row서울특별시 송파구 신천동 7-19
2nd row서울특별시 송파구 가락동 31-3
3rd row서울특별시 송파구 가락동 112-1번지 쌍둥이빌딩 5층
4th row서울특별시 송파구 방이동 151-10번지
5th row서울특별시 송파구 문정동 61-13번지
ValueCountFrequency (%)
서울특별시 32
18.8%
송파구 32
18.8%
문정동 14
 
8.2%
가락동 5
 
2.9%
방이동 5
 
2.9%
642번지 4
 
2.4%
거여동 2
 
1.2%
4층 2
 
1.2%
2층 2
 
1.2%
a동 2
 
1.2%
Other values (67) 70
41.2%
2024-04-06T18:47:06.353359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
 
17.9%
1 39
 
4.6%
동 37
 
4.3%
파 37
 
4.3%
송 34
 
4.0%
서 32
 
3.7%
특 32
 
3.7%
별 32
 
3.7%
시 32
 
3.7%
구 32
 
3.7%
Other values (80) 396
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 509
59.5%
Decimal Number 161
 
18.8%
Space Separator 153
 
17.9%
Dash Punctuation 24
 
2.8%
Uppercase Letter 5
 
0.6%
Other Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 37
 
7.3%
파 37
 
7.3%
송 34
 
6.7%
서 32
 
6.3%
특 32
 
6.3%
별 32
 
6.3%
시 32
 
6.3%
구 32
 
6.3%
울 32
 
6.3%
지 22
 
4.3%
Other values (62) 187
36.7%
Decimal Number
ValueCountFrequency (%)
1 39
24.2%
2 27
16.8%
0 20
12.4%
6 18
11.2%
4 18
11.2%
5 15
 
9.3%
3 12
 
7.5%
8 4
 
2.5%
9 4
 
2.5%
7 4
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
40.0%
F 1
20.0%
I 1
20.0%
C 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
. 2
50.0%
Space Separator
ValueCountFrequency (%)
153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 509
59.5%
Common 342
40.0%
Latin 5
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 37
 
7.3%
파 37
 
7.3%
송 34
 
6.7%
서 32
 
6.3%
특 32
 
6.3%
별 32
 
6.3%
시 32
 
6.3%
구 32
 
6.3%
울 32
 
6.3%
지 22
 
4.3%
Other values (62) 187
36.7%
Common
ValueCountFrequency (%)
153
44.7%
1 39
 
11.4%
2 27
 
7.9%
- 24
 
7.0%
0 20
 
5.8%
6 18
 
5.3%
4 18
 
5.3%
5 15
 
4.4%
3 12
 
3.5%
8 4
 
1.2%
Other values (4) 12
 
3.5%
Latin
ValueCountFrequency (%)
A 2
40.0%
F 1
20.0%
I 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 509
59.5%
ASCII 347
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153
44.1%
1 39
 
11.2%
2 27
 
7.8%
- 24
 
6.9%
0 20
 
5.8%
6 18
 
5.2%
4 18
 
5.2%
5 15
 
4.3%
3 12
 
3.5%
8 4
 
1.2%
Other values (8) 17
 
4.9%
Hangul
ValueCountFrequency (%)
동 37
 
7.3%
파 37
 
7.3%
송 34
 
6.7%
서 32
 
6.3%
특 32
 
6.3%
별 32
 
6.3%
시 32
 
6.3%
구 32
 
6.3%
울 32
 
6.3%
지 22
 
4.3%
Other values (62) 187
36.7%

도로명주소
Text

MISSING 

Distinct47
Distinct (%)100.0%
Missing1
Missing (%)2.1%
Memory size516.0 B
2024-04-06T18:47:06.869681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length36.170213
Min length22

Characters and Unicode

Total characters1700
Distinct characters140
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

Unique47 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 올림픽로 289 (신천동)
2nd row서울특별시 송파구 양재대로66길 36, 금아빌딩 3층 (가락동)
3rd row서울특별시 송파구 도곡로 454 (잠실동)
4th row서울특별시 송파구 중대로 132 (가락동,쌍둥이빌딩 5층)
5th row서울특별시 송파구 중대로 135 (가락동)
ValueCountFrequency (%)
서울특별시 47
 
14.4%
송파구 47
 
14.4%
문정동 19
 
5.8%
가락동 8
 
2.5%
송파대로 5
 
1.5%
3층 5
 
1.5%
에이치비지니스파크 5
 
1.5%
201 4
 
1.2%
5층 4
 
1.2%
법원로9길 4
 
1.2%
Other values (138) 178
54.6%
2024-04-06T18:47:07.585140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
281
 
16.5%
1 75
 
4.4%
파 64
 
3.8%
동 58
 
3.4%
송 57
 
3.4%
, 53
 
3.1%
서 47
 
2.8%
( 47
 
2.8%
울 47
 
2.8%
로 47
 
2.8%
Other values (130) 924
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 971
57.1%
Space Separator 281
 
16.5%
Decimal Number 280
 
16.5%
Other Punctuation 56
 
3.3%
Open Punctuation 47
 
2.8%
Close Punctuation 47
 
2.8%
Uppercase Letter 11
 
0.6%
Dash Punctuation 5
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 64
 
6.6%
동 58
 
6.0%
송 57
 
5.9%
서 47
 
4.8%
울 47
 
4.8%
로 47
 
4.8%
구 47
 
4.8%
시 47
 
4.8%
별 47
 
4.8%
특 47
 
4.8%
Other values (106) 463
47.7%
Decimal Number
ValueCountFrequency (%)
1 75
26.8%
2 39
13.9%
0 38
13.6%
3 30
 
10.7%
6 30
 
10.7%
5 19
 
6.8%
4 17
 
6.1%
9 13
 
4.6%
7 10
 
3.6%
8 9
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
A 5
45.5%
C 2
 
18.2%
S 1
 
9.1%
F 1
 
9.1%
I 1
 
9.1%
B 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 53
94.6%
. 2
 
3.6%
& 1
 
1.8%
Space Separator
ValueCountFrequency (%)
281
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 971
57.1%
Common 718
42.2%
Latin 11
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 64
 
6.6%
동 58
 
6.0%
송 57
 
5.9%
서 47
 
4.8%
울 47
 
4.8%
로 47
 
4.8%
구 47
 
4.8%
시 47
 
4.8%
별 47
 
4.8%
특 47
 
4.8%
Other values (106) 463
47.7%
Common
ValueCountFrequency (%)
281
39.1%
1 75
 
10.4%
, 53
 
7.4%
( 47
 
6.5%
) 47
 
6.5%
2 39
 
5.4%
0 38
 
5.3%
3 30
 
4.2%
6 30
 
4.2%
5 19
 
2.6%
Other values (8) 59
 
8.2%
Latin
ValueCountFrequency (%)
A 5
45.5%
C 2
 
18.2%
S 1
 
9.1%
F 1
 
9.1%
I 1
 
9.1%
B 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 971
57.1%
ASCII 729
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
281
38.5%
1 75
 
10.3%
, 53
 
7.3%
( 47
 
6.4%
) 47
 
6.4%
2 39
 
5.3%
0 38
 
5.2%
3 30
 
4.1%
6 30
 
4.1%
5 19
 
2.6%
Other values (14) 70
 
9.6%
Hangul
ValueCountFrequency (%)
파 64
 
6.6%
동 58
 
6.0%
송 57
 
5.9%
서 47
 
4.8%
울 47
 
4.8%
로 47
 
4.8%
구 47
 
4.8%
시 47
 
4.8%
별 47
 
4.8%
특 47
 
4.8%
Other values (106) 463
47.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)78.9%
Missing29
Missing (%)60.4%
Infinite0
Infinite (%)0.0%
Mean5748.5789
Minimum5510
Maximum5855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-06T18:47:07.803392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5510
5-th percentile5564
Q15649
median5831
Q35836
95-th percentile5855
Maximum5855
Range345
Interquartile range (IQR)187

Descriptive statistics

Standard deviation115.59427
Coefficient of variation (CV)0.020108321
Kurtosis-0.97470433
Mean5748.5789
Median Absolute Deviation (MAD)24
Skewness-0.7376237
Sum109223
Variance13362.035
MonotonicityNot monotonic
2024-04-06T18:47:07.974269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
5836 4
 
8.3%
5855 2
 
4.2%
5806 1
 
2.1%
5703 1
 
2.1%
5510 1
 
2.1%
5667 1
 
2.1%
5832 1
 
2.1%
5831 1
 
2.1%
5610 1
 
2.1%
5631 1
 
2.1%
Other values (5) 5
 
10.4%
(Missing) 29
60.4%
ValueCountFrequency (%)
5510 1
2.1%
5570 1
2.1%
5610 1
2.1%
5615 1
2.1%
5631 1
2.1%
5667 1
2.1%
5700 1
2.1%
5703 1
2.1%
5806 1
2.1%
5831 1
2.1%
ValueCountFrequency (%)
5855 2
4.2%
5854 1
 
2.1%
5840 1
 
2.1%
5836 4
8.3%
5832 1
 
2.1%
5831 1
 
2.1%
5806 1
 
2.1%
5703 1
 
2.1%
5700 1
 
2.1%
5667 1
 
2.1%

사업장명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-04-06T18:47:08.320800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length8.9166667
Min length5

Characters and Unicode

Total characters428
Distinct characters106
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row에이치엘디앤아이한라 주식회사
2nd row(주)한서엔지니어링
3rd row(주) 정도설비
4th row㈜코아지질
5th row서울냉열주식회사
ValueCountFrequency (%)
주식회사 7
 
12.3%
지평이엔씨 1
 
1.8%
비앤에이테크(주 1
 
1.8%
주)정민지오테크 1
 
1.8%
주)한일지하수개발 1
 
1.8%
주)한보엔지니어링 1
 
1.8%
주)오주엔지니어링 1
 
1.8%
씨지이엠(주 1
 
1.8%
주)지호엔지니어링 1
 
1.8%
대양씨앤이 1
 
1.8%
Other values (41) 41
71.9%
2024-04-06T18:47:08.981949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 43
 
10.0%
) 34
 
7.9%
( 32
 
7.5%
지 28
 
6.5%
이 19
 
4.4%
엔 18
 
4.2%
어 13
 
3.0%
링 10
 
2.3%
니 10
 
2.3%
사 10
 
2.3%
Other values (96) 211
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 343
80.1%
Close Punctuation 34
 
7.9%
Open Punctuation 32
 
7.5%
Space Separator 9
 
2.1%
Other Symbol 3
 
0.7%
Lowercase Letter 3
 
0.7%
Other Punctuation 2
 
0.5%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 43
 
12.5%
지 28
 
8.2%
이 19
 
5.5%
엔 18
 
5.2%
어 13
 
3.8%
링 10
 
2.9%
니 10
 
2.9%
사 10
 
2.9%
식 8
 
2.3%
회 8
 
2.3%
Other values (85) 176
51.3%
Lowercase Letter
ValueCountFrequency (%)
m 1
33.3%
a 1
33.3%
p 1
33.3%
Other Punctuation
ValueCountFrequency (%)
; 1
50.0%
& 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
E 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 346
80.8%
Common 77
 
18.0%
Latin 5
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 43
 
12.4%
지 28
 
8.1%
이 19
 
5.5%
엔 18
 
5.2%
어 13
 
3.8%
링 10
 
2.9%
니 10
 
2.9%
사 10
 
2.9%
식 8
 
2.3%
회 8
 
2.3%
Other values (86) 179
51.7%
Common
ValueCountFrequency (%)
) 34
44.2%
( 32
41.6%
9
 
11.7%
; 1
 
1.3%
& 1
 
1.3%
Latin
ValueCountFrequency (%)
m 1
20.0%
a 1
20.0%
p 1
20.0%
C 1
20.0%
E 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 343
80.1%
ASCII 82
 
19.2%
None 3
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 43
 
12.5%
지 28
 
8.2%
이 19
 
5.5%
엔 18
 
5.2%
어 13
 
3.8%
링 10
 
2.9%
니 10
 
2.9%
사 10
 
2.9%
식 8
 
2.3%
회 8
 
2.3%
Other values (85) 176
51.3%
ASCII
ValueCountFrequency (%)
) 34
41.5%
( 32
39.0%
9
 
11.0%
m 1
 
1.2%
a 1
 
1.2%
p 1
 
1.2%
; 1
 
1.2%
C 1
 
1.2%
& 1
 
1.2%
E 1
 
1.2%
None
ValueCountFrequency (%)
㈜ 3
100.0%

최종수정일자
Date

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2003-05-30 11:50:08
Maximum2024-03-14 17:11:51
2024-04-06T18:47:09.225742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:47:09.556094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
I
30 
U
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 30
62.5%
U 18
37.5%

Length

2024-04-06T18:47:09.786938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:47:09.947056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 30
62.5%
u 18
37.5%

데이터갱신일자
Date

Distinct26
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:06:00
2024-04-06T18:47:10.116669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:47:10.298316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)89.7%
Missing9
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean210443.76
Minimum206945.16
Maximum212811.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-06T18:47:10.491833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206945.16
5-th percentile208793.27
Q1210096.15
median210627
Q3210968.71
95-th percentile212427.83
Maximum212811.98
Range5866.8116
Interquartile range (IQR)872.56559

Descriptive statistics

Standard deviation1187.6659
Coefficient of variation (CV)0.0056436259
Kurtosis2.6343204
Mean210443.76
Median Absolute Deviation (MAD)385.50171
Skewness-0.96367459
Sum8207306.7
Variance1410550.2
MonotonicityNot monotonic
2024-04-06T18:47:10.690657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
210289.0 4
 
8.3%
210627.0 2
 
4.2%
206945.163446 1
 
2.1%
212645.539631084 1
 
2.1%
209491.869784483 1
 
2.1%
210451.290381795 1
 
2.1%
210633.550230991 1
 
2.1%
209071.079994686 1
 
2.1%
212403.643733203 1
 
2.1%
211165.347810298 1
 
2.1%
Other values (25) 25
52.1%
(Missing) 9
 
18.8%
ValueCountFrequency (%)
206945.163446 1
2.1%
206986.579718469 1
2.1%
208994.017991356 1
2.1%
209071.079994686 1
2.1%
209140.885315651 1
2.1%
209491.869784483 1
2.1%
209542.709911306 1
2.1%
209580.172006225 1
2.1%
209801.407296277 1
2.1%
210035.057211853 1
2.1%
ValueCountFrequency (%)
212811.975075042 1
2.1%
212645.539631084 1
2.1%
212403.643733203 1
2.1%
211671.206749269 1
2.1%
211439.152970952 1
2.1%
211255.759612505 1
2.1%
211165.347810298 1
2.1%
211012.501708485 1
2.1%
210973.671141908 1
2.1%
210970.772288264 1
2.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)89.7%
Missing9
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean443920.6
Minimum441730.92
Maximum446042.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-06T18:47:10.917943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441730.92
5-th percentile442318.06
Q1442824.29
median443662.96
Q3444986.97
95-th percentile445830.74
Maximum446042.59
Range4311.6719
Interquartile range (IQR)2162.6818

Descriptive statistics

Standard deviation1282.3241
Coefficient of variation (CV)0.002888634
Kurtosis-1.3589764
Mean443920.6
Median Absolute Deviation (MAD)1214.9564
Skewness0.14451859
Sum17312903
Variance1644355.2
MonotonicityNot monotonic
2024-04-06T18:47:11.406837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
442448.0 4
 
8.3%
442875.0 2
 
4.2%
445131.213068 1
 
2.1%
443127.535494347 1
 
2.1%
444762.615897996 1
 
2.1%
443994.451566494 1
 
2.1%
443156.762931953 1
 
2.1%
444969.975054972 1
 
2.1%
443417.837902915 1
 
2.1%
443171.650790563 1
 
2.1%
Other values (25) 25
52.1%
(Missing) 9
 
18.8%
ValueCountFrequency (%)
441730.920486073 1
 
2.1%
442137.578674 1
 
2.1%
442338.115571068 1
 
2.1%
442448.0 4
8.3%
442574.0 1
 
2.1%
442612.84779714 1
 
2.1%
442773.585103879 1
 
2.1%
442875.0 2
4.2%
443021.621006225 1
 
2.1%
443127.535494347 1
 
2.1%
ValueCountFrequency (%)
446042.592367722 1
2.1%
445868.526191867 1
2.1%
445826.545566831 1
2.1%
445768.958568102 1
2.1%
445660.000908806 1
2.1%
445616.971628245 1
2.1%
445580.412817416 1
2.1%
445299.489167314 1
2.1%
445131.213068 1
2.1%
445003.973593971 1
2.1%

전문인력총수
Categorical

Distinct6
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size516.0 B
2
20 
<NA>
17 
3
7 
4
 
2
8
 
1

Length

Max length4
Median length1
Mean length2.0833333
Min length1

Unique

Unique2 ?
Unique (%)4.2%

Sample

1st row<NA>
2nd row<NA>
3rd row2
4th row4
5th row2

Common Values

ValueCountFrequency (%)
2 20
41.7%
<NA> 17
35.4%
3 7
 
14.6%
4 2
 
4.2%
8 1
 
2.1%
12 1
 
2.1%

Length

2024-04-06T18:47:11.624689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:47:11.808628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 20
41.7%
na 17
35.4%
3 7
 
14.6%
4 2
 
4.2%
8 1
 
2.1%
12 1
 
2.1%

자본금
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)45.2%
Missing17
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean6.5161708 × 108
Minimum7
Maximum1.306413 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-06T18:47:11.972496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile50000000
Q198000000
median1.3 × 108
Q34 × 108
95-th percentile9 × 108
Maximum1.306413 × 1010
Range1.306413 × 1010
Interquartile range (IQR)3.02 × 108

Descriptive statistics

Standard deviation2.3158004 × 109
Coefficient of variation (CV)3.5539283
Kurtosis30.287784
Mean6.5161708 × 108
Median Absolute Deviation (MAD)80000000
Skewness5.4764934
Sum2.020013 × 1010
Variance5.3629316 × 1018
MonotonicityNot monotonic
2024-04-06T18:47:12.227174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
100000000 7
14.6%
50000000 6
 
12.5%
500000000 4
 
8.3%
300000000 2
 
4.2%
400000000 2
 
4.2%
200000000 2
 
4.2%
13064129563 1
 
2.1%
1000000000 1
 
2.1%
160000000 1
 
2.1%
7 1
 
2.1%
Other values (4) 4
 
8.3%
(Missing) 17
35.4%
ValueCountFrequency (%)
7 1
 
2.1%
50000000 6
12.5%
96000000 1
 
2.1%
100000000 7
14.6%
130000000 1
 
2.1%
150000000 1
 
2.1%
160000000 1
 
2.1%
200000000 2
 
4.2%
300000000 2
 
4.2%
400000000 2
 
4.2%
ValueCountFrequency (%)
13064129563 1
 
2.1%
1000000000 1
 
2.1%
800000000 1
 
2.1%
500000000 4
8.3%
400000000 2
4.2%
300000000 2
4.2%
200000000 2
4.2%
160000000 1
 
2.1%
150000000 1
 
2.1%
130000000 1
 
2.1%

시설장비
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing24
Missing (%)50.0%
Memory size516.0 B
2024-04-06T18:47:12.742281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length31.5
Mean length29.25
Min length3

Characters and Unicode

Total characters702
Distinct characters122
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

Unique24 ?
Unique (%)100.0%

Sample

1st row천공기 등록번호 - 서울22-2271 형식- HI-0966 승인번호 -3-22-1122-00-01 차대일련번호 - HI
2nd row1. 천공기 1대
3rd row장비임대차계약 - 천공기 2대(서울22-8681, 서울22-8897) - 공기압축기(인계솔랜드1070) 경기21고-1241
4th row천공기(서울22-8955, 형식 SD4500SD, 임차,(주)미래지반기술)
5th row1. 천공기 3
ValueCountFrequency (%)
천공기 8
 
8.5%
8
 
8.5%
1 4
 
4.3%
1대 3
 
3.2%
형식 2
 
2.1%
공기압축기 2
 
2.1%
임대 2
 
2.1%
시추기 2
 
2.1%
임대(supperpower 1
 
1.1%
4500sd)(80모5212 1
 
1.1%
Other values (61) 61
64.9%
2024-04-06T18:47:13.544359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
 
10.1%
2 51
 
7.3%
기 44
 
6.3%
0 36
 
5.1%
1 30
 
4.3%
- 29
 
4.1%
( 26
 
3.7%
) 26
 
3.7%
공 24
 
3.4%
5 22
 
3.1%
Other values (112) 343
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 254
36.2%
Decimal Number 198
28.2%
Space Separator 71
 
10.1%
Uppercase Letter 65
 
9.3%
Dash Punctuation 29
 
4.1%
Open Punctuation 27
 
3.8%
Close Punctuation 27
 
3.8%
Other Punctuation 24
 
3.4%
Lowercase Letter 7
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 44
17.3%
공 24
 
9.4%
천 19
 
7.5%
대 15
 
5.9%
임 9
 
3.5%
울 8
 
3.1%
서 8
 
3.1%
경 8
 
3.1%
고 8
 
3.1%
압 6
 
2.4%
Other values (67) 105
41.3%
Uppercase Letter
ValueCountFrequency (%)
S 13
20.0%
P 7
10.8%
D 7
10.8%
H 5
 
7.7%
E 4
 
6.2%
R 4
 
6.2%
O 3
 
4.6%
I 3
 
4.6%
W 3
 
4.6%
A 3
 
4.6%
Other values (10) 13
20.0%
Decimal Number
ValueCountFrequency (%)
2 51
25.8%
0 36
18.2%
1 30
15.2%
5 22
11.1%
3 15
 
7.6%
4 11
 
5.6%
7 9
 
4.5%
8 9
 
4.5%
6 8
 
4.0%
9 7
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 11
45.8%
. 5
20.8%
: 4
 
16.7%
/ 3
 
12.5%
? 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
m 2
28.6%
w 2
28.6%
k 2
28.6%
p 1
14.3%
Open Punctuation
ValueCountFrequency (%)
( 26
96.3%
[ 1
 
3.7%
Close Punctuation
ValueCountFrequency (%)
) 26
96.3%
] 1
 
3.7%
Space Separator
ValueCountFrequency (%)
71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 376
53.6%
Hangul 254
36.2%
Latin 72
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 44
17.3%
공 24
 
9.4%
천 19
 
7.5%
대 15
 
5.9%
임 9
 
3.5%
울 8
 
3.1%
서 8
 
3.1%
경 8
 
3.1%
고 8
 
3.1%
압 6
 
2.4%
Other values (67) 105
41.3%
Latin
ValueCountFrequency (%)
S 13
18.1%
P 7
 
9.7%
D 7
 
9.7%
H 5
 
6.9%
E 4
 
5.6%
R 4
 
5.6%
O 3
 
4.2%
I 3
 
4.2%
W 3
 
4.2%
A 3
 
4.2%
Other values (14) 20
27.8%
Common
ValueCountFrequency (%)
71
18.9%
2 51
13.6%
0 36
9.6%
1 30
8.0%
- 29
7.7%
( 26
 
6.9%
) 26
 
6.9%
5 22
 
5.9%
3 15
 
4.0%
4 11
 
2.9%
Other values (11) 59
15.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 448
63.8%
Hangul 254
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71
15.8%
2 51
 
11.4%
0 36
 
8.0%
1 30
 
6.7%
- 29
 
6.5%
( 26
 
5.8%
) 26
 
5.8%
5 22
 
4.9%
3 15
 
3.3%
S 13
 
2.9%
Other values (35) 129
28.8%
Hangul
ValueCountFrequency (%)
기 44
17.3%
공 24
 
9.4%
천 19
 
7.5%
대 15
 
5.9%
임 9
 
3.5%
울 8
 
3.1%
서 8
 
3.1%
경 8
 
3.1%
고 8
 
3.1%
압 6
 
2.4%
Other values (67) 105
41.3%

타기관이전여부
Categorical

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
30 
<NA>
16 
1
 
2

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
62.5%
<NA> 16
33.3%
1 2
 
4.2%

Length

2024-04-06T18:47:13.859248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:47:14.097885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
62.5%
na 16
33.3%
1 2
 
4.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)전문인력총수자본금시설장비타기관이전여부
03230000C001101110274699L002008-10-20<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 신천동 7-19서울특별시 송파구 올림픽로 289 (신천동)<NA>에이치엘디앤아이한라 주식회사2023-11-01 08:21:13U2022-11-01 00:03:00.0<NA>208994.017991445826.545567<NA><NA><NA><NA>
13230000C001101110337174L001997-10-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 31-3서울특별시 송파구 양재대로66길 36, 금아빌딩 3층 (가락동)<NA>(주)한서엔지니어링2023-02-21 12:11:53U2022-12-01 22:03:00.0<NA>210962.2082444224.544921<NA><NA><NA><NA>
23230000C001101110639778L0020151030201612153폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 도곡로 454 (잠실동)<NA>(주) 정도설비2017-03-16 19:48:10I2018-08-31 23:59:59.0<NA>206945.163446445131.213068213064129563천공기 등록번호 - 서울22-2271 형식- HI-0966 승인번호 -3-22-1122-00-01 차대일련번호 - HI0
33230000C001101110675433L0019980122<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 112-1번지 쌍둥이빌딩 5층서울특별시 송파구 중대로 132 (가락동,쌍둥이빌딩 5층)<NA>㈜코아지질2011-03-15 08:52:24I2018-08-31 23:59:59.0<NA>210788.893005443570.70883343000000001. 천공기 1대0
43230000C001101110768056L0020161201201708113폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 중대로 135 (가락동)<NA>서울냉열주식회사2017-08-11 10:24:36I2018-08-31 23:59:59.0<NA>210758.11912443662.95640221000000000장비임대차계약 - 천공기 2대(서울22-8681, 서울22-8897) - 공기압축기(인계솔랜드1070) 경기21고-12410
53230000C001101111047863L0020000529201112283폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 151-10번지서울특별시 송파구 백제고분로50길 8 (방이동)<NA>하남기초건설(주)2011-12-29 09:35:13I2018-08-31 23:59:59.0<NA>210157.238161445768.9585683400000000<NA>0
63230000C001101111082348L0020080228<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 61-13번지서울특별시 송파구 법원로 127, 7층 703호 (문정동, 대명벨리온)<NA>(주)인포월드2016-05-13 15:29:11I2018-08-31 23:59:59.0<NA>210885.288207442612.8477972160000000<NA>0
73230000C001101111244526L0020200129<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 40번지 F.I.빌딩서울특별시 송파구 동남로4길 36, F.I.빌딩 3층 (문정동)5806(주)아남이엔지2020-01-29 13:43:14I2020-01-31 00:23:24.0<NA>210947.981486442773.5851042100000000천공기(서울22-8955, 형식 SD4500SD, 임차,(주)미래지반기술)0
83230000C001101111309122L0019980115<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 208-14번지 수성빌딩 4층서울특별시 송파구 위례성대로18길 28-1 (방이동)<NA>(주)옥수개발2012-09-12 10:27:37I2018-08-31 23:59:59.0<NA>210973.671142445299.4891672500000000<NA>0
93230000C001101111536204L0020000801200211023폐업2취소정지업체<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 거여동 37-1번지 신양빌딩 301호서울특별시 송파구 오금로 511, 301호 (거여동,신양빌딩)<NA>명보산업개발㈜2003-05-30 11:50:08I2018-08-31 23:59:59.0<NA>212811.975075443458.22500335000000001. 천공기 30
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)전문인력총수자본금시설장비타기관이전여부
383230000C001101115286623L0020140519<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 충민로 10, 1층 A-01호 (문정동)<NA>(주)혜안지반2018-01-30 11:29:34I2018-08-31 23:59:59.0<NA>210535.089616442137.5786742100000000- 시추기1대 및 관련 부자재 - 장비임대 (동호개발)1
393230000C001101115330115L0020170811<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 법원로11길 25, 비동 1206,1207호 (문정동, 에이치비지니스파크)<NA>(주)보라엔지니어링2017-08-11 09:42:19I2018-08-31 23:59:59.0<NA>210236.0442574.0350000000경기22고5296 (천공기:HJS-0023)0
403230000C001101115745950L002015-12-24<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 새말로 101, 문정동 형수빌딩 5층 (문정동)<NA>(주)에이치에스엔지니어링2023-02-21 12:50:58U2022-12-01 22:03:00.0<NA><NA><NA><NA><NA><NA><NA>
413230000C001101117564506L0020200824<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 632 가든파이브웍스 비동 603호서울특별시 송파구 충민로 10, 가든파이브툴 8층 S11호 (문정동)5840주식회사 세원씨앤이2022-07-01 16:34:17U2021-12-07 00:03:00.0<NA>210780.12618441730.920486<NA><NA><NA><NA>
423230000C001311110247782L002023-08-31<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 651-10 파트너스1 1003호서울특별시 송파구 법원로 92, 파트너스1 10층 1003호 (문정동)<NA>(주)골든엔지니어링2024-03-14 17:11:51U2023-12-02 23:06:00.0<NA><NA><NA><NA><NA><NA><NA>
433230000C001341110167507L0020170303<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 222-3번지서울특별시 송파구 백제고분로 107 (잠실동, 장학빌딩)5570(주)우경엔지니어링2017-03-03 18:02:17I2018-08-31 23:59:59.0<NA>206986.579718445003.973594250000000- 천공기 1대 임대(경기22고 5415)0
443230000C001342110072639L0020220818<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 법원로9길 26, 에이치비지니스파크 C동 1313~15호 (문정동)5836(주)다솔엔지니어링2022-08-18 16:28:50U2021-12-07 22:00:00.0<NA>210289.0442448.0<NA><NA><NA><NA>
453230000C002013110057504L0020190424<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 642번지 송파 테라타워2 A동 1513호서울특별시 송파구 송파대로 201, 송파 테라타워2 A동 1513호 (문정동)5854(주)세종지오컨설턴트2019-04-24 16:10:21I2019-04-26 02:20:49.0<NA>210627.0442875.02100000000천공기(SA-1028) 공기압축기(XHP900WCAT)0
463230000C0064091220113150002015-03-20<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 백제고분로37길 8, 미산빌딩 5층 (석촌동)5615대성E&amp;C2023-02-22 08:53:50U2022-12-01 22:04:00.0<NA><NA><NA><NA><NA><NA><NA>
473230000C0071102300020210118<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 오금로36길 16, 고려빌딩 305호 (가락동)5700우진지반 기술사사무소2021-06-23 09:43:08U2021-06-25 02:40:00.0<NA>210970.772288444466.574704296000000천공기[서울22가5053(임대), 유입식시추기 POWER 4000 SD]0