Overview

Dataset statistics

Number of variables36
Number of observations23
Missing cells292
Missing cells (%)35.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory317.7 B

Variable types

Numeric4
Text5
DateTime3
Unsupported11
Categorical13

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),저장설비위치,용기저장실면적,차고지면적,사무실면적,배관설치장소,길이변경내용,취급가스용량,가스용품종류명,설비명,물품규격,면제범위
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16111/S/1/datasetView.do

Alerts

휴업시작일자 is highly imbalanced (61.7%)Imbalance
휴업종료일자 is highly imbalanced (61.7%)Imbalance
재개업일자 is highly imbalanced (74.2%)Imbalance
취급가스용량 is highly imbalanced (57.4%)Imbalance
인허가취소일자 has 23 (100.0%) missing valuesMissing
폐업일자 has 11 (47.8%) missing valuesMissing
전화번호 has 20 (87.0%) missing valuesMissing
소재지면적 has 23 (100.0%) missing valuesMissing
소재지우편번호 has 23 (100.0%) missing valuesMissing
지번주소 has 3 (13.0%) missing valuesMissing
도로명주소 has 3 (13.0%) missing valuesMissing
업태구분명 has 23 (100.0%) missing valuesMissing
좌표정보(X) has 1 (4.3%) missing valuesMissing
좌표정보(Y) has 1 (4.3%) missing valuesMissing
저장설비위치 has 23 (100.0%) missing valuesMissing
배관설치장소 has 23 (100.0%) missing valuesMissing
길이변경내용 has 23 (100.0%) missing valuesMissing
가스용품종류명 has 23 (100.0%) missing valuesMissing
설비명 has 23 (100.0%) missing valuesMissing
물품규격 has 23 (100.0%) missing valuesMissing
면제범위 has 23 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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
저장설비위치 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배관설치장소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
길이변경내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
가스용품종류명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
설비명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
물품규격 is an unsupported type, check if it needs cleaning or further analysisUnsupported
면제범위 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 05:50:15.006290
Analysis finished2024-05-11 05:50:15.587740
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3126521.7
Minimum3030000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T14:50:15.691028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3030000
5-th percentile3030000
Q13065000
median3150000
Q33160000
95-th percentile3197000
Maximum3240000
Range210000
Interquartile range (IQR)95000

Descriptive statistics

Standard deviation62639.567
Coefficient of variation (CV)0.020034905
Kurtosis-0.83003536
Mean3126521.7
Median Absolute Deviation (MAD)20000
Skewness-0.53115254
Sum71910000
Variance3.9237154 × 109
MonotonicityNot monotonic
2024-05-11T14:50:15.926645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3030000 5
21.7%
3160000 5
21.7%
3150000 4
17.4%
3170000 3
13.0%
3140000 2
 
8.7%
3060000 1
 
4.3%
3070000 1
 
4.3%
3200000 1
 
4.3%
3240000 1
 
4.3%
ValueCountFrequency (%)
3030000 5
21.7%
3060000 1
 
4.3%
3070000 1
 
4.3%
3140000 2
 
8.7%
3150000 4
17.4%
3160000 5
21.7%
3170000 3
13.0%
3200000 1
 
4.3%
3240000 1
 
4.3%
ValueCountFrequency (%)
3240000 1
 
4.3%
3200000 1
 
4.3%
3170000 3
13.0%
3160000 5
21.7%
3150000 4
17.4%
3140000 2
 
8.7%
3070000 1
 
4.3%
3060000 1
 
4.3%
3030000 5
21.7%

관리번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T14:50:16.281170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters575
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row2000303000004100009-00001
2nd row1000303000004100024-00001
3rd row1980303000004100001-00001
4th row1998303000004100026-00001
5th row1998303000004100425-00001
ValueCountFrequency (%)
2000303000004100009-00001 1
 
4.3%
2007316011704100001-00001 1
 
4.3%
2022315000004100001-00001 1
 
4.3%
2009324013904100001-00001 1
 
4.3%
9707320000004100002-00001 1
 
4.3%
1999317006704100003-00001 1
 
4.3%
1996317000004100002-00001 1
 
4.3%
0018317000004100004-00001 1
 
4.3%
1999316011704100001-00001 1
 
4.3%
2014316020304100001-00001 1
 
4.3%
Other values (13) 13
56.5%
2024-05-11T14:50:16.845084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 307
53.4%
1 95
 
16.5%
3 34
 
5.9%
4 32
 
5.6%
2 26
 
4.5%
- 23
 
4.0%
9 22
 
3.8%
7 15
 
2.6%
6 9
 
1.6%
5 7
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 552
96.0%
Dash Punctuation 23
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 307
55.6%
1 95
 
17.2%
3 34
 
6.2%
4 32
 
5.8%
2 26
 
4.7%
9 22
 
4.0%
7 15
 
2.7%
6 9
 
1.6%
5 7
 
1.3%
8 5
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 575
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 307
53.4%
1 95
 
16.5%
3 34
 
5.9%
4 32
 
5.6%
2 26
 
4.5%
- 23
 
4.0%
9 22
 
3.8%
7 15
 
2.6%
6 9
 
1.6%
5 7
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 575
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 307
53.4%
1 95
 
16.5%
3 34
 
5.9%
4 32
 
5.6%
2 26
 
4.5%
- 23
 
4.0%
9 22
 
3.8%
7 15
 
2.6%
6 9
 
1.6%
5 7
 
1.2%

인허가일자
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum1980-03-28 00:00:00
Maximum2022-07-29 00:00:00
2024-05-11T14:50:17.074153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:50:17.313941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
3
12 
1
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 12
52.2%
1 11
47.8%

Length

2024-05-11T14:50:17.593851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:17.760245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 12
52.2%
1 11
47.8%

영업상태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
폐업
12 
영업/정상
11 

Length

Max length5
Median length2
Mean length3.4347826
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 12
52.2%
영업/정상 11
47.8%

Length

2024-05-11T14:50:17.941105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:18.120892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 12
52.2%
영업/정상 11
47.8%

상세영업상태코드
Categorical

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
3
12 
BBBB
8 
1
2 
5
 
1

Length

Max length4
Median length1
Mean length2.0434783
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 12
52.2%
BBBB 8
34.8%
1 2
 
8.7%
5 1
 
4.3%

Length

2024-05-11T14:50:18.408147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:18.692597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 12
52.2%
bbbb 8
34.8%
1 2
 
8.7%
5 1
 
4.3%

상세영업상태명
Categorical

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
폐지
12 
<NA>
8 
신규
2 
개시
 
1

Length

Max length4
Median length2
Mean length2.6956522
Min length2

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐지 12
52.2%
<NA> 8
34.8%
신규 2
 
8.7%
개시 1
 
4.3%

Length

2024-05-11T14:50:18.917233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:19.098836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 12
52.2%
na 8
34.8%
신규 2
 
8.7%
개시 1
 
4.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing11
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean20151593
Minimum20050812
Maximum20210811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T14:50:19.315415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050812
5-th percentile20084042
Q120120199
median20150756
Q320191222
95-th percentile20210601
Maximum20210811
Range159999
Interquartile range (IQR)71023

Descriptive statistics

Standard deviation47252.03
Coefficient of variation (CV)0.0023448285
Kurtosis0.30207697
Mean20151593
Median Absolute Deviation (MAD)35086.5
Skewness-0.63074384
Sum2.4181911 × 108
Variance2.2327544 × 109
MonotonicityNot monotonic
2024-05-11T14:50:19.520810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20111230 1
 
4.3%
20210430 1
 
4.3%
20160303 1
 
4.3%
20141209 1
 
4.3%
20191219 1
 
4.3%
20171110 1
 
4.3%
20140421 1
 
4.3%
20050812 1
 
4.3%
20120109 1
 
4.3%
20191231 1
 
4.3%
Other values (2) 2
 
8.7%
(Missing) 11
47.8%
ValueCountFrequency (%)
20050812 1
4.3%
20111230 1
4.3%
20120109 1
4.3%
20120229 1
4.3%
20140421 1
4.3%
20141209 1
4.3%
20160303 1
4.3%
20171110 1
4.3%
20191219 1
4.3%
20191231 1
4.3%
ValueCountFrequency (%)
20210811 1
4.3%
20210430 1
4.3%
20191231 1
4.3%
20191219 1
4.3%
20171110 1
4.3%
20160303 1
4.3%
20141209 1
4.3%
20140421 1
4.3%
20120229 1
4.3%
20120109 1
4.3%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
20 
20130415
 
1
20040812
 
1
20161228
 
1

Length

Max length8
Median length4
Mean length4.5217391
Min length4

Unique

Unique3 ?
Unique (%)13.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
87.0%
20130415 1
 
4.3%
20040812 1
 
4.3%
20161228 1
 
4.3%

Length

2024-05-11T14:50:19.772358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:19.985370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
87.0%
20130415 1
 
4.3%
20040812 1
 
4.3%
20161228 1
 
4.3%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
20 
20140414
 
1
20050812
 
1
20181228
 
1

Length

Max length8
Median length4
Mean length4.5217391
Min length4

Unique

Unique3 ?
Unique (%)13.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
87.0%
20140414 1
 
4.3%
20050812 1
 
4.3%
20181228 1
 
4.3%

Length

2024-05-11T14:50:20.174060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:20.365307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
87.0%
20140414 1
 
4.3%
20050812 1
 
4.3%
20181228 1
 
4.3%

재개업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
22 
20100303
 
1

Length

Max length8
Median length4
Mean length4.173913
Min length4

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
95.7%
20100303 1
 
4.3%

Length

2024-05-11T14:50:20.562688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:20.795332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
95.7%
20100303 1
 
4.3%

전화번호
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing20
Missing (%)87.0%
Memory size316.0 B
2024-05-11T14:50:20.978177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters30
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row0226120220
2nd row0226898413
3rd row02 8625055
ValueCountFrequency (%)
0226120220 1
25.0%
0226898413 1
25.0%
02 1
25.0%
8625055 1
25.0%
2024-05-11T14:50:21.426723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 9
30.0%
0 6
20.0%
6 3
 
10.0%
8 3
 
10.0%
5 3
 
10.0%
1 2
 
6.7%
9 1
 
3.3%
4 1
 
3.3%
3 1
 
3.3%
1
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
96.7%
Space Separator 1
 
3.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 9
31.0%
0 6
20.7%
6 3
 
10.3%
8 3
 
10.3%
5 3
 
10.3%
1 2
 
6.9%
9 1
 
3.4%
4 1
 
3.4%
3 1
 
3.4%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 9
30.0%
0 6
20.0%
6 3
 
10.0%
8 3
 
10.0%
5 3
 
10.0%
1 2
 
6.7%
9 1
 
3.3%
4 1
 
3.3%
3 1
 
3.3%
1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 9
30.0%
0 6
20.0%
6 3
 
10.0%
8 3
 
10.0%
5 3
 
10.0%
1 2
 
6.7%
9 1
 
3.3%
4 1
 
3.3%
3 1
 
3.3%
1
 
3.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지번주소
Text

MISSING 

Distinct19
Distinct (%)95.0%
Missing3
Missing (%)13.0%
Memory size316.0 B
2024-05-11T14:50:21.808146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length26
Mean length24.85
Min length19

Characters and Unicode

Total characters497
Distinct characters68
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)90.0%

Sample

1st row서울특별시 성동구 성수동2가 272-6
2nd row서울특별시 성동구 성수동1가 656번지 334호
3rd row서울특별시 성동구 성수2가3동 275번지 72호 동광금속
4th row서울특별시 중랑구 상봉동 127번지 21호
5th row서울특별시 성북구 장위3동 44번지
ValueCountFrequency (%)
서울특별시 20
 
19.6%
구로구 5
 
4.9%
강서구 3
 
2.9%
금천구 3
 
2.9%
성동구 3
 
2.9%
독산1동 2
 
2.0%
양천구 2
 
2.0%
우리벤처타운 2
 
2.0%
684-2 2
 
2.0%
등촌동 2
 
2.0%
Other values (58) 58
56.9%
2024-05-11T14:50:22.416870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
17.3%
구 27
 
5.4%
동 25
 
5.0%
서 23
 
4.6%
특 20
 
4.0%
별 20
 
4.0%
시 20
 
4.0%
울 20
 
4.0%
2 19
 
3.8%
호 17
 
3.4%
Other values (58) 220
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 300
60.4%
Decimal Number 106
 
21.3%
Space Separator 86
 
17.3%
Dash Punctuation 4
 
0.8%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 27
 
9.0%
동 25
 
8.3%
서 23
 
7.7%
특 20
 
6.7%
별 20
 
6.7%
시 20
 
6.7%
울 20
 
6.7%
호 17
 
5.7%
지 17
 
5.7%
번 17
 
5.7%
Other values (45) 94
31.3%
Decimal Number
ValueCountFrequency (%)
2 19
17.9%
1 17
16.0%
4 13
12.3%
3 12
11.3%
6 11
10.4%
9 9
8.5%
7 8
7.5%
8 7
 
6.6%
0 6
 
5.7%
5 4
 
3.8%
Space Separator
ValueCountFrequency (%)
86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 300
60.4%
Common 197
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 27
 
9.0%
동 25
 
8.3%
서 23
 
7.7%
특 20
 
6.7%
별 20
 
6.7%
시 20
 
6.7%
울 20
 
6.7%
호 17
 
5.7%
지 17
 
5.7%
번 17
 
5.7%
Other values (45) 94
31.3%
Common
ValueCountFrequency (%)
86
43.7%
2 19
 
9.6%
1 17
 
8.6%
4 13
 
6.6%
3 12
 
6.1%
6 11
 
5.6%
9 9
 
4.6%
7 8
 
4.1%
8 7
 
3.6%
0 6
 
3.0%
Other values (3) 9
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 300
60.4%
ASCII 197
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
43.7%
2 19
 
9.6%
1 17
 
8.6%
4 13
 
6.6%
3 12
 
6.1%
6 11
 
5.6%
9 9
 
4.6%
7 8
 
4.1%
8 7
 
3.6%
0 6
 
3.0%
Other values (3) 9
 
4.6%
Hangul
ValueCountFrequency (%)
구 27
 
9.0%
동 25
 
8.3%
서 23
 
7.7%
특 20
 
6.7%
별 20
 
6.7%
시 20
 
6.7%
울 20
 
6.7%
호 17
 
5.7%
지 17
 
5.7%
번 17
 
5.7%
Other values (45) 94
31.3%

도로명주소
Text

MISSING 

Distinct19
Distinct (%)95.0%
Missing3
Missing (%)13.0%
Memory size316.0 B
2024-05-11T14:50:22.777413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30.5
Mean length27.05
Min length23

Characters and Unicode

Total characters541
Distinct characters75
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)90.0%

Sample

1st row서울특별시 성동구 성수이로18길 32-1 (성수동2가)
2nd row서울특별시 성동구 성수이로26길 11 (성수동2가)
3rd row서울특별시 성동구 성수이로20길 51 (성수동2가)
4th row서울특별시 성동구 뚝섬로1길 31 (성수동1가)
5th row서울특별시 성동구 성수이로18길 45 (성수동2가)
ValueCountFrequency (%)
서울특별시 20
 
19.4%
성동구 5
 
4.9%
성수동2가 4
 
3.9%
강서구 4
 
3.9%
금천구 3
 
2.9%
구로구 3
 
2.9%
우리벤처타운 2
 
1.9%
등촌동 2
 
1.9%
18 2
 
1.9%
양천구 2
 
1.9%
Other values (52) 56
54.4%
2024-05-11T14:50:23.454853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
 
16.1%
서 27
 
5.0%
동 27
 
5.0%
로 25
 
4.6%
구 25
 
4.6%
울 20
 
3.7%
) 20
 
3.7%
( 20
 
3.7%
1 20
 
3.7%
특 20
 
3.7%
Other values (65) 250
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 332
61.4%
Space Separator 87
 
16.1%
Decimal Number 76
 
14.0%
Close Punctuation 20
 
3.7%
Open Punctuation 20
 
3.7%
Dash Punctuation 3
 
0.6%
Other Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 27
 
8.1%
동 27
 
8.1%
로 25
 
7.5%
구 25
 
7.5%
울 20
 
6.0%
특 20
 
6.0%
시 20
 
6.0%
별 20
 
6.0%
성 17
 
5.1%
길 14
 
4.2%
Other values (51) 117
35.2%
Decimal Number
ValueCountFrequency (%)
1 20
26.3%
4 10
13.2%
2 10
13.2%
6 7
 
9.2%
5 7
 
9.2%
3 6
 
7.9%
8 6
 
7.9%
0 5
 
6.6%
7 5
 
6.6%
Space Separator
ValueCountFrequency (%)
87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 332
61.4%
Common 209
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 27
 
8.1%
동 27
 
8.1%
로 25
 
7.5%
구 25
 
7.5%
울 20
 
6.0%
특 20
 
6.0%
시 20
 
6.0%
별 20
 
6.0%
성 17
 
5.1%
길 14
 
4.2%
Other values (51) 117
35.2%
Common
ValueCountFrequency (%)
87
41.6%
) 20
 
9.6%
( 20
 
9.6%
1 20
 
9.6%
4 10
 
4.8%
2 10
 
4.8%
6 7
 
3.3%
5 7
 
3.3%
3 6
 
2.9%
8 6
 
2.9%
Other values (4) 16
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 332
61.4%
ASCII 209
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
41.6%
) 20
 
9.6%
( 20
 
9.6%
1 20
 
9.6%
4 10
 
4.8%
2 10
 
4.8%
6 7
 
3.3%
5 7
 
3.3%
3 6
 
2.9%
8 6
 
2.9%
Other values (4) 16
 
7.7%
Hangul
ValueCountFrequency (%)
서 27
 
8.1%
동 27
 
8.1%
로 25
 
7.5%
구 25
 
7.5%
울 20
 
6.0%
특 20
 
6.0%
시 20
 
6.0%
별 20
 
6.0%
성 17
 
5.1%
길 14
 
4.2%
Other values (51) 117
35.2%

도로명우편번호
Categorical

Distinct6
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
17 
7573
2 
4787
 
1
158847
 
1
7638
 
1

Length

Max length6
Median length4
Mean length4.0869565
Min length4

Unique

Unique4 ?
Unique (%)17.4%

Sample

1st row4787
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 17
73.9%
7573 2
 
8.7%
4787 1
 
4.3%
158847 1
 
4.3%
7638 1
 
4.3%
8592 1
 
4.3%

Length

2024-05-11T14:50:23.707579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:23.886981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
73.9%
7573 2
 
8.7%
4787 1
 
4.3%
158847 1
 
4.3%
7638 1
 
4.3%
8592 1
 
4.3%

사업장명
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T14:50:24.182848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.4782609
Min length4

Characters and Unicode

Total characters172
Distinct characters86
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)91.3%

Sample

1st row(주) 유한정공
2nd row신대양캣치올
3rd row(주)대륭
4th row백산금속
5th row동광금속
ValueCountFrequency (%)
주)파커스인터내셔널 2
 
7.1%
유한정공 1
 
3.6%
주식회사 1
 
3.6%
지에스퓨얼셀 1
 
3.6%
유진물산 1
 
3.6%
지이 1
 
3.6%
주)한국 1
 
3.6%
태유산업사 1
 
3.6%
주)코리아컴버션 1
 
3.6%
주)코리아컨버션 1
 
3.6%
Other values (17) 17
60.7%
2024-05-11T14:50:24.665698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 15
 
8.7%
( 14
 
8.1%
) 14
 
8.1%
스 8
 
4.7%
5
 
2.9%
이 4
 
2.3%
산 3
 
1.7%
코 3
 
1.7%
유 3
 
1.7%
가 3
 
1.7%
Other values (76) 100
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 138
80.2%
Open Punctuation 14
 
8.1%
Close Punctuation 14
 
8.1%
Space Separator 5
 
2.9%
Decimal Number 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 15
 
10.9%
스 8
 
5.8%
이 4
 
2.9%
산 3
 
2.2%
코 3
 
2.2%
유 3
 
2.2%
가 3
 
2.2%
버 3
 
2.2%
사 3
 
2.2%
아 3
 
2.2%
Other values (72) 90
65.2%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 138
80.2%
Common 34
 
19.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 15
 
10.9%
스 8
 
5.8%
이 4
 
2.9%
산 3
 
2.2%
코 3
 
2.2%
유 3
 
2.2%
가 3
 
2.2%
버 3
 
2.2%
사 3
 
2.2%
아 3
 
2.2%
Other values (72) 90
65.2%
Common
ValueCountFrequency (%)
( 14
41.2%
) 14
41.2%
5
 
14.7%
3 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 138
80.2%
ASCII 34
 
19.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 15
 
10.9%
스 8
 
5.8%
이 4
 
2.9%
산 3
 
2.2%
코 3
 
2.2%
유 3
 
2.2%
가 3
 
2.2%
버 3
 
2.2%
사 3
 
2.2%
아 3
 
2.2%
Other values (72) 90
65.2%
ASCII
ValueCountFrequency (%)
( 14
41.2%
) 14
41.2%
5
 
14.7%
3 1
 
2.9%

최종수정일자
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2009-03-03 10:58:09
Maximum2023-09-21 08:55:24
2024-05-11T14:50:24.838402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:50:25.030641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
I
16 
U
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 16
69.6%
U 7
30.4%

Length

2024-05-11T14:50:25.250998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:25.742842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 16
69.6%
u 7
30.4%

데이터갱신일자
Date

Distinct10
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-08 22:03:00
2024-05-11T14:50:25.898700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:50:26.107907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing1
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean194651.07
Minimum185096.62
Maximum210672.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T14:50:26.309084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185096.62
5-th percentile185268.38
Q1187349.86
median189890.08
Q3205181.08
95-th percentile206817.55
Maximum210672.43
Range25575.814
Interquartile range (IQR)17831.219

Descriptive statistics

Standard deviation9057.8375
Coefficient of variation (CV)0.046533716
Kurtosis-1.5656726
Mean194651.07
Median Absolute Deviation (MAD)4084.3792
Skewness0.53795052
Sum4282323.5
Variance82044420
MonotonicityNot monotonic
2024-05-11T14:50:26.516603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
185926.715920448 2
 
8.7%
205278.273274062 1
 
4.3%
205156.583437146 1
 
4.3%
210672.431145962 1
 
4.3%
192619.386252366 1
 
4.3%
189669.316805063 1
 
4.3%
190233.913008742 1
 
4.3%
190110.836999652 1
 
4.3%
189193.143806163 1
 
4.3%
186884.887277248 1
 
4.3%
Other values (11) 11
47.8%
ValueCountFrequency (%)
185096.617373114 1
4.3%
185246.464486741 1
4.3%
185684.679422278 1
4.3%
185926.715920448 2
8.7%
186884.887277248 1
4.3%
188744.796287279 1
4.3%
189193.143806163 1
4.3%
189277.761702183 1
4.3%
189589.718096736 1
4.3%
189669.316805063 1
4.3%
ValueCountFrequency (%)
210672.431145962 1
4.3%
206889.293186112 1
4.3%
205454.504707747 1
4.3%
205432.491343595 1
4.3%
205278.273274062 1
4.3%
205189.250841633 1
4.3%
205156.583437146 1
4.3%
204045.693798821 1
4.3%
192619.386252366 1
4.3%
190233.913008742 1
4.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing1
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean447443.23
Minimum440677.54
Maximum456814.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T14:50:26.694779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440677.54
5-th percentile440925.69
Q1444037.93
median448057.41
Q3449891.98
95-th percentile454397.64
Maximum456814.72
Range16137.186
Interquartile range (IQR)5854.0571

Descriptive statistics

Standard deviation4448.6492
Coefficient of variation (CV)0.0099423767
Kurtosis-0.52715835
Mean447443.23
Median Absolute Deviation (MAD)3481.6841
Skewness0.1925065
Sum9843751.1
Variance19790479
MonotonicityNot monotonic
2024-05-11T14:50:26.926796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
451634.919975729 2
 
8.7%
448806.52090941 1
 
4.3%
449335.367607324 1
 
4.3%
447311.251579469 1
 
4.3%
442988.196037338 1
 
4.3%
440921.514797121 1
 
4.3%
440677.537558414 1
 
4.3%
441005.107209699 1
 
4.3%
445173.090649292 1
 
4.3%
442549.076166691 1
 
4.3%
Other values (11) 11
47.8%
ValueCountFrequency (%)
440677.537558414 1
4.3%
440921.514797121 1
4.3%
441005.107209699 1
4.3%
442549.076166691 1
4.3%
442988.196037338 1
4.3%
443826.719521075 1
4.3%
444671.551731639 1
4.3%
445173.090649292 1
4.3%
446383.298726405 1
4.3%
446499.196966093 1
4.3%
ValueCountFrequency (%)
456814.72353389 1
4.3%
454516.422154096 1
4.3%
452140.748536018 1
4.3%
451634.919975729 2
8.7%
450077.523692281 1
4.3%
449335.367607324 1
4.3%
449091.660473051 1
4.3%
448888.234667877 1
4.3%
448806.52090941 1
4.3%
448803.560162326 1
4.3%

저장설비위치
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

용기저장실면적
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
0
12 
<NA>
11 

Length

Max length4
Median length1
Mean length2.4347826
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 12
52.2%
<NA> 11
47.8%

Length

2024-05-11T14:50:27.157910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:27.327477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 12
52.2%
na 11
47.8%

차고지면적
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
0
12 
<NA>
11 

Length

Max length4
Median length1
Mean length2.4347826
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 12
52.2%
<NA> 11
47.8%

Length

2024-05-11T14:50:27.518429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:27.703862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 12
52.2%
na 11
47.8%

사무실면적
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
0
12 
<NA>
11 

Length

Max length4
Median length1
Mean length2.4347826
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 12
52.2%
<NA> 11
47.8%

Length

2024-05-11T14:50:27.910874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:28.080229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 12
52.2%
na 11
47.8%

배관설치장소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

길이변경내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

취급가스용량
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
21 
0
 
2

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
91.3%
0 2
 
8.7%

Length

2024-05-11T14:50:28.244733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:50:28.414658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
91.3%
0 2
 
8.7%

가스용품종류명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

설비명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

물품규격
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

면제범위
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)저장설비위치용기저장실면적차고지면적사무실면적배관설치장소길이변경내용취급가스용량가스용품종류명설비명물품규격면제범위
030300002000303000004100009-000012000-05-16<NA>1영업/정상1신규<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 272-6서울특별시 성동구 성수이로18길 32-1 (성수동2가)4787(주) 유한정공2023-09-21 08:55:24U2022-12-08 22:03:00.0<NA>205278.273274448806.520909<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
130300001000303000004100024-0000120050906<NA>3폐업3폐지20111230<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수이로26길 11 (성수동2가)<NA>신대양캣치올2011-12-30 14:25:39I2018-08-31 23:59:59.0<NA>205156.583437449335.367607<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
230300001980303000004100001-0000119800328<NA>3폐업3폐지20210430<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수이로20길 51 (성수동2가)<NA>(주)대륭2022-01-04 08:58:42U2022-01-06 02:40:00.0<NA>205454.504708448888.234668<NA>000<NA><NA>0<NA><NA><NA><NA>
330300001998303000004100026-0000119981028<NA>3폐업3폐지20160303<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동1가 656번지 334호서울특별시 성동구 뚝섬로1길 31 (성수동1가)<NA>백산금속2016-03-07 14:58:50I2018-08-31 23:59:59.0<NA>204045.693799449091.660473<NA>000<NA><NA><NA><NA><NA><NA><NA>
430300001998303000004100425-0000120080605<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수2가3동 275번지 72호 동광금속서울특별시 성동구 성수이로18길 45 (성수동2가)<NA>동광금속2013-01-28 17:16:41I2018-08-31 23:59:59.0<NA>205432.491344448803.560162<NA>000<NA><NA><NA><NA><NA><NA><NA>
530600002005306000004100001-0000120051025<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 127번지 21호<NA><NA>중앙메탈2016-03-02 15:03:16I2018-08-31 23:59:59.0<NA>206889.293186454516.422154<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
630700002001307000004100001-0000120010809<NA>3폐업3폐지20141209<NA><NA><NA><NA><NA><NA>서울특별시 성북구 장위3동 44번지서울특별시 성북구 한천로 615 (장위동)<NA>장위데이타시스템(주)2014-12-10 15:04:08I2018-08-31 23:59:59.0<NA>205189.250842456814.723534<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
731400002015314017904100001-0000120150824<NA>3폐업3폐지20191219<NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 988번지 3호서울특별시 양천구 지양로5길 5 (신월동)158847초이스하이테크(주)2019-12-20 08:52:04U2019-12-22 02:40:00.0<NA>185246.464487446499.196966<NA>000<NA><NA><NA><NA><NA><NA><NA>
831400002004314000004100001-0000120080219<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 296번지 69호서울특별시 양천구 신목로 48 (신정동)<NA>(주)3차버너2011-02-09 14:44:55I2018-08-31 23:59:59.0<NA>188744.796287446383.298726<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
931500001997315000004100001-0000119970120<NA>3폐업3폐지20171110<NA><NA><NA><NA><NA><NA>서울특별시 강서구 내발산동 687번지서울특별시 강서구 강서로47길 73 (내발산동)7638(주)삼원가스 앤 플랜트2018-12-05 09:47:14U2018-12-07 02:40:00.0<NA>185096.617373450077.523692<NA>000<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)저장설비위치용기저장실면적차고지면적사무실면적배관설치장소길이변경내용취급가스용량가스용품종류명설비명물품규격면제범위
1331600001983316007104100032-0000119830519<NA>3폐업3폐지200508122004081220050812<NA>0226120220<NA><NA>서울특별시 구로구 개봉동 368번지 19호서울특별시 구로구 개봉로1나길 44 (개봉동)<NA>명화가스2021-06-15 16:23:00I2021-06-17 00:22:54.0<NA>186884.887277442549.076167<NA>000<NA><NA><NA><NA><NA><NA><NA>
1431600002014316020304100001-0000120140528<NA>1영업/정상5개시<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 신도림동 291번지 20호서울특별시 구로구 신도림로7길 30 (신도림동)<NA>(주)소시오텍2014-07-30 16:00:20I2018-08-31 23:59:59.0<NA>189193.143806445173.090649<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1531600001999316011704100001-0000119990413<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0226898413<NA><NA>서울특별시 구로구 온수동 100번지 22 호<NA><NA>(주)코리아컨버션2009-03-03 10:58:09I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1631700000018317000004100004-0000120110131<NA>3폐업3폐지20120109<NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산1동 336번지 4호서울특별시 금천구 두산로3길 13 (독산동)<NA>(주)코리아컴버션2012-01-09 14:30:26I2018-08-31 23:59:59.0<NA>190110.837441005.10721<NA>000<NA><NA><NA><NA><NA><NA><NA>
1731700001996317000004100002-0000119961029<NA>3폐업3폐지201912312016122820181228<NA><NA><NA><NA>서울특별시 금천구 독산1동 999번지 13호서울특별시 금천구 벚꽃로18길 27 (독산동)<NA>태유산업사2020-02-17 14:36:35U2020-02-19 02:40:00.0<NA>190233.913009440677.537558<NA>000<NA><NA><NA><NA><NA><NA><NA>
1831700001999317006704100003-0000119991229<NA>3폐업3폐지20210811<NA><NA><NA>02 8625055<NA><NA>서울특별시 금천구 가산동 327번지 24호 대륭테크노타운1차 401-1호, 103호서울특별시 금천구 가산디지털2로 18, 대륭테크노타운1차 (가산동)8592(주)한국 지이2021-08-12 10:06:57U2021-08-14 02:40:00.0<NA>189669.316805440921.514797<NA>000<NA><NA>0<NA><NA><NA><NA>
1932000009707320000004100002-0000120100827<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신사동 475번지 41호서울특별시 관악구 신사로 140-1 (신림동)<NA>유진물산2011-10-30 14:47:02I2018-08-31 23:59:59.0<NA>192619.386252442988.196037<NA>000<NA><NA><NA><NA><NA><NA><NA>
2032400002009324013904100001-0000120090414<NA>3폐업3폐지20120229<NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내1동 453번지 2호서울특별시 강동구 성내로6길 50-10 (성내동)<NA>지에스퓨얼셀 주식회사2012-02-28 09:42:58I2018-08-31 23:59:59.0<NA>210672.431146447311.251579<NA>000<NA><NA><NA><NA><NA><NA><NA>
2131500002022315000004100001-0000120220727<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 684-2 우리벤처타운서울특별시 강서구 강서로 466, 우리벤처타운 (등촌동)7573(주)파커스인터내셔널2022-07-27 13:46:48I2021-12-06 22:09:00.0<NA>185926.71592451634.919976<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2231500002022315020404100001-0000120220729<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 684-2 우리벤처타운서울특별시 강서구 강서로 466, 우리벤처타운 (등촌동)7573(주)파커스인터내셔널2022-08-04 16:17:06U2021-12-08 00:07:00.0<NA>185926.71592451634.919976<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>