Overview

Dataset statistics

Number of variables27
Number of observations90
Missing cells841
Missing cells (%)34.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.3 KiB
Average record size in memory230.5 B

Variable types

Categorical8
Numeric6
DateTime5
Unsupported4
Text4

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),자본금,거래처
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-19055/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 90 (100.0%) missing valuesMissing
폐업일자 has 60 (66.7%) missing valuesMissing
휴업시작일자 has 88 (97.8%) missing valuesMissing
휴업종료일자 has 88 (97.8%) missing valuesMissing
재개업일자 has 86 (95.6%) missing valuesMissing
전화번호 has 2 (2.2%) missing valuesMissing
소재지면적 has 49 (54.4%) missing valuesMissing
소재지우편번호 has 90 (100.0%) missing valuesMissing
지번주소 has 3 (3.3%) missing valuesMissing
도로명주소 has 12 (13.3%) missing valuesMissing
도로명우편번호 has 81 (90.0%) missing valuesMissing
좌표정보(X) has 6 (6.7%) missing valuesMissing
좌표정보(Y) has 6 (6.7%) missing valuesMissing
자본금 has 90 (100.0%) missing valuesMissing
거래처 has 90 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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
자본금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
거래처 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 05:54:51.702726
Analysis finished2024-05-11 05:54:52.746000
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size852.0 B
3030000
90 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 90
100.0%

Length

2024-05-11T05:54:53.093350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:54:53.514632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 90
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9928363 × 1018
Minimum1.969303 × 1018
Maximum2.014303 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T05:54:54.196670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.969303 × 1018
5-th percentile1.976303 × 1018
Q11.982303 × 1018
median1.994303 × 1018
Q32.003303 × 1018
95-th percentile2.013303 × 1018
Maximum2.014303 × 1018
Range4.5000006 × 1016
Interquartile range (IQR)2.1 × 1016

Descriptive statistics

Standard deviation1.1758048 × 1016
Coefficient of variation (CV)0.0059001576
Kurtosis-0.84137942
Mean1.9928363 × 1018
Median Absolute Deviation (MAD)9 × 1015
Skewness-0.16628404
Sum-5.11217 × 1018
Variance1.382517 × 1032
MonotonicityStrictly increasing
2024-05-11T05:54:54.915052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1969303007401200001 1
 
1.1%
2003303007401500006 1
 
1.1%
2003303007401500004 1
 
1.1%
2003303007401500003 1
 
1.1%
2003303007401500002 1
 
1.1%
2003303007401500001 1
 
1.1%
2003303007401200001 1
 
1.1%
2000303007401200001 1
 
1.1%
1998303007401200001 1
 
1.1%
1996303007401500004 1
 
1.1%
Other values (80) 80
88.9%
ValueCountFrequency (%)
1969303007401200001 1
1.1%
1970303007401200001 1
1.1%
1970303007401200002 1
1.1%
1971303007401200001 1
1.1%
1976303007401500001 1
1.1%
1976303007401500004 1
1.1%
1976303007401500005 1
1.1%
1976303007401500006 1
1.1%
1976303007401500007 1
1.1%
1976303007401500008 1
1.1%
ValueCountFrequency (%)
2014303013201200002 1
1.1%
2014303013201200001 1
1.1%
2013303013201500003 1
1.1%
2013303013201500002 1
1.1%
2013303013201500001 1
1.1%
2013303013201200001 1
1.1%
2008303010301500002 1
1.1%
2008303010301500001 1
1.1%
2006303007401500001 1
1.1%
2004303007401500005 1
1.1%

인허가일자
Date

Distinct71
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Memory size852.0 B
Minimum1969-10-29 00:00:00
Maximum2014-06-09 00:00:00
2024-05-11T05:54:55.482412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:54:56.183564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size852.0 B
3
63 
1
26 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 63
70.0%
1 26
28.9%
4 1
 
1.1%

Length

2024-05-11T05:54:56.749845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:54:57.150970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 63
70.0%
1 26
28.9%
4 1
 
1.1%

영업상태명
Categorical

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size852.0 B
폐업
63 
영업/정상
26 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 63
70.0%
영업/정상 26
28.9%
취소/말소/만료/정지/중지 1
 
1.1%

Length

2024-05-11T05:54:57.702721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:54:58.111054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 63
70.0%
영업/정상 26
28.9%
취소/말소/만료/정지/중지 1
 
1.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size852.0 B
3
63 
1
22 
6
 
4
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 63
70.0%
1 22
 
24.4%
6 4
 
4.4%
2 1
 
1.1%

Length

2024-05-11T05:54:58.538649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:54:58.925041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 63
70.0%
1 22
 
24.4%
6 4
 
4.4%
2 1
 
1.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size852.0 B
폐지
63 
신규등록
22 
휴지사업재개
 
4
등록취소
 
1

Length

Max length6
Median length2
Mean length2.6888889
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐지 63
70.0%
신규등록 22
 
24.4%
휴지사업재개 4
 
4.4%
등록취소 1
 
1.1%

Length

2024-05-11T05:54:59.486321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:54:59.909525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 63
70.0%
신규등록 22
 
24.4%
휴지사업재개 4
 
4.4%
등록취소 1
 
1.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)86.7%
Missing60
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean20122410
Minimum19960227
Maximum20220704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T05:55:00.450253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960227
5-th percentile20030644
Q120083512
median20125162
Q320170680
95-th percentile20220331
Maximum20220704
Range260477
Interquartile range (IQR)87168

Descriptive statistics

Standard deviation64687.517
Coefficient of variation (CV)0.0032147002
Kurtosis-0.03148868
Mean20122410
Median Absolute Deviation (MAD)44849
Skewness-0.46312004
Sum6.0367231 × 108
Variance4.1844748 × 109
MonotonicityNot monotonic
2024-05-11T05:55:00.919848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20110829 2
 
2.2%
20220331 2
 
2.2%
20170731 2
 
2.2%
20031002 2
 
2.2%
20120130 1
 
1.1%
20111125 1
 
1.1%
20030416 1
 
1.1%
20150715 1
 
1.1%
20120216 1
 
1.1%
20091020 1
 
1.1%
Other values (16) 16
 
17.8%
(Missing) 60
66.7%
ValueCountFrequency (%)
19960227 1
1.1%
20030416 1
1.1%
20030923 1
1.1%
20031002 2
2.2%
20071011 1
1.1%
20080831 1
1.1%
20081010 1
1.1%
20091020 1
1.1%
20091116 1
1.1%
20110829 2
2.2%
ValueCountFrequency (%)
20220704 1
1.1%
20220331 2
2.2%
20211130 1
1.1%
20181121 1
1.1%
20171122 1
1.1%
20170731 2
2.2%
20170529 1
1.1%
20160727 1
1.1%
20150715 1
1.1%
20150701 1
1.1%

휴업시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing88
Missing (%)97.8%
Memory size852.0 B
Minimum2009-05-06 00:00:00
Maximum2018-04-18 00:00:00
2024-05-11T05:55:01.344978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:55:01.813326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업종료일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing88
Missing (%)97.8%
Memory size852.0 B
Minimum2009-10-31 00:00:00
Maximum2018-05-22 00:00:00
2024-05-11T05:55:02.197301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:55:02.577554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

재개업일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing86
Missing (%)95.6%
Memory size852.0 B
Minimum2009-09-27 00:00:00
Maximum2024-01-19 00:00:00
2024-05-11T05:55:02.931072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:55:03.243057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

전화번호
Text

MISSING 

Distinct80
Distinct (%)90.9%
Missing2
Missing (%)2.2%
Memory size852.0 B
2024-05-11T05:55:03.796566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.5
Min length7

Characters and Unicode

Total characters748
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)81.8%

Sample

1st row22522803
2nd row22347631
3rd row22815265
4th row22381949
5th row0222923744
ValueCountFrequency (%)
02 13
 
12.4%
4623566 4
 
3.8%
4647252 3
 
2.9%
4648122 2
 
1.9%
4695141 2
 
1.9%
4654881 2
 
1.9%
22986315 2
 
1.9%
465 2
 
1.9%
22444945 2
 
1.9%
0222446996 2
 
1.9%
Other values (69) 71
67.6%
2024-05-11T05:55:05.008394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 163
21.8%
4 105
14.0%
6 83
11.1%
5 67
9.0%
3 62
 
8.3%
0 58
 
7.8%
9 53
 
7.1%
1 50
 
6.7%
8 41
 
5.5%
7 34
 
4.5%
Other values (2) 32
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 716
95.7%
Space Separator 26
 
3.5%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 163
22.8%
4 105
14.7%
6 83
11.6%
5 67
9.4%
3 62
 
8.7%
0 58
 
8.1%
9 53
 
7.4%
1 50
 
7.0%
8 41
 
5.7%
7 34
 
4.7%
Space Separator
ValueCountFrequency (%)
26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 748
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 163
21.8%
4 105
14.0%
6 83
11.1%
5 67
9.0%
3 62
 
8.3%
0 58
 
7.8%
9 53
 
7.1%
1 50
 
6.7%
8 41
 
5.5%
7 34
 
4.5%
Other values (2) 32
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 748
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 163
21.8%
4 105
14.0%
6 83
11.1%
5 67
9.0%
3 62
 
8.3%
0 58
 
7.8%
9 53
 
7.1%
1 50
 
6.7%
8 41
 
5.5%
7 34
 
4.5%
Other values (2) 32
 
4.3%

소재지면적
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)82.9%
Missing49
Missing (%)54.4%
Infinite0
Infinite (%)0.0%
Mean910.47854
Minimum180
Maximum2433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T05:55:05.435986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile345.21
Q1676.5
median794.5
Q31028
95-th percentile1761
Maximum2433
Range2253
Interquartile range (IQR)351.5

Descriptive statistics

Standard deviation446.59143
Coefficient of variation (CV)0.49050187
Kurtosis2.7153078
Mean910.47854
Median Absolute Deviation (MAD)156.5
Skewness1.3821708
Sum37329.62
Variance199443.9
MonotonicityNot monotonic
2024-05-11T05:55:05.960786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
944.5 2
 
2.2%
810.9 2
 
2.2%
1321.0 2
 
2.2%
719.0 2
 
2.2%
759.2 2
 
2.2%
345.21 2
 
2.2%
1761.0 2
 
2.2%
1158.0 1
 
1.1%
1051.8 1
 
1.1%
527.0 1
 
1.1%
Other values (24) 24
26.7%
(Missing) 49
54.4%
ValueCountFrequency (%)
180.0 1
1.1%
330.0 1
1.1%
345.21 2
2.2%
477.0 1
1.1%
478.5 1
1.1%
527.0 1
1.1%
660.0 1
1.1%
661.0 1
1.1%
662.0 1
1.1%
676.5 1
1.1%
ValueCountFrequency (%)
2433.0 1
1.1%
1885.0 1
1.1%
1761.0 2
2.2%
1389.0 1
1.1%
1321.0 2
2.2%
1158.0 1
1.1%
1051.8 1
1.1%
1051.0 1
1.1%
1028.0 1
1.1%
1002.0 1
1.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

지번주소
Text

MISSING 

Distinct73
Distinct (%)83.9%
Missing3
Missing (%)3.3%
Memory size852.0 B
2024-05-11T05:55:06.591074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length21.252874
Min length14

Characters and Unicode

Total characters1849
Distinct characters61
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)71.3%

Sample

1st row서울특별시 성동구 금호동3가 209
2nd row서울특별시 성동구 금호동3가 1116
3rd row서울특별시 성동구 금호동3가 620
4th row서울특별시 성동구 금호동2가 325
5th row서울특별시 성동구 도선동 21-1
ValueCountFrequency (%)
서울특별시 87
24.5%
성동구 87
24.5%
성수동2가 19
 
5.4%
용답동 17
 
4.8%
성수동1가 16
 
4.5%
마장동 7
 
2.0%
금호동3가 5
 
1.4%
656-216 4
 
1.1%
도선동 3
 
0.8%
5-4 3
 
0.8%
Other values (83) 107
30.1%
2024-05-11T05:55:07.765230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
338
18.3%
동 174
 
9.4%
성 125
 
6.8%
서 87
 
4.7%
특 87
 
4.7%
별 87
 
4.7%
시 87
 
4.7%
구 87
 
4.7%
울 87
 
4.7%
2 87
 
4.7%
Other values (51) 603
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1034
55.9%
Decimal Number 400
 
21.6%
Space Separator 338
 
18.3%
Dash Punctuation 77
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 174
16.8%
성 125
12.1%
서 87
8.4%
특 87
8.4%
별 87
8.4%
시 87
8.4%
구 87
8.4%
울 87
8.4%
가 44
 
4.3%
수 39
 
3.8%
Other values (39) 130
12.6%
Decimal Number
ValueCountFrequency (%)
2 87
21.8%
1 82
20.5%
3 49
12.2%
6 45
11.2%
5 35
8.8%
7 29
 
7.2%
9 23
 
5.8%
8 20
 
5.0%
4 20
 
5.0%
0 10
 
2.5%
Space Separator
ValueCountFrequency (%)
338
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1034
55.9%
Common 815
44.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 174
16.8%
성 125
12.1%
서 87
8.4%
특 87
8.4%
별 87
8.4%
시 87
8.4%
구 87
8.4%
울 87
8.4%
가 44
 
4.3%
수 39
 
3.8%
Other values (39) 130
12.6%
Common
ValueCountFrequency (%)
338
41.5%
2 87
 
10.7%
1 82
 
10.1%
- 77
 
9.4%
3 49
 
6.0%
6 45
 
5.5%
5 35
 
4.3%
7 29
 
3.6%
9 23
 
2.8%
8 20
 
2.5%
Other values (2) 30
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1034
55.9%
ASCII 815
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
338
41.5%
2 87
 
10.7%
1 82
 
10.1%
- 77
 
9.4%
3 49
 
6.0%
6 45
 
5.5%
5 35
 
4.3%
7 29
 
3.6%
9 23
 
2.8%
8 20
 
2.5%
Other values (2) 30
 
3.7%
Hangul
ValueCountFrequency (%)
동 174
16.8%
성 125
12.1%
서 87
8.4%
특 87
8.4%
별 87
8.4%
시 87
8.4%
구 87
8.4%
울 87
8.4%
가 44
 
4.3%
수 39
 
3.8%
Other values (39) 130
12.6%

도로명주소
Text

MISSING 

Distinct65
Distinct (%)83.3%
Missing12
Missing (%)13.3%
Memory size852.0 B
2024-05-11T05:55:08.615150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length29
Mean length26.089744
Min length22

Characters and Unicode

Total characters2035
Distinct characters94
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

Unique55 ?
Unique (%)70.5%

Sample

1st row서울특별시 성동구 무수막길 1 (금호동3가)
2nd row서울특별시 성동구 무수막길 59 (금호동3가)
3rd row서울특별시 성동구 무수막길 41 (금호동3가)
4th row서울특별시 성동구 금호산길 71 (금호동2가)
5th row서울특별시 성동구 고산자로 255 (도선동)
ValueCountFrequency (%)
서울특별시 78
19.7%
성동구 78
19.7%
용답동 18
 
4.6%
천호대로 17
 
4.3%
성수동2가 17
 
4.3%
성수동1가 14
 
3.5%
광나루로 8
 
2.0%
마장동 7
 
1.8%
동일로 5
 
1.3%
고산자로 5
 
1.3%
Other values (103) 148
37.5%
2024-05-11T05:55:10.555250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
348
17.1%
동 162
 
8.0%
성 120
 
5.9%
서 79
 
3.9%
울 78
 
3.8%
특 78
 
3.8%
별 78
 
3.8%
시 78
 
3.8%
구 78
 
3.8%
) 78
 
3.8%
Other values (84) 858
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1234
60.6%
Space Separator 348
 
17.1%
Decimal Number 285
 
14.0%
Close Punctuation 78
 
3.8%
Open Punctuation 78
 
3.8%
Dash Punctuation 8
 
0.4%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 162
13.1%
성 120
 
9.7%
서 79
 
6.4%
울 78
 
6.3%
특 78
 
6.3%
별 78
 
6.3%
시 78
 
6.3%
구 78
 
6.3%
로 64
 
5.2%
수 44
 
3.6%
Other values (69) 375
30.4%
Decimal Number
ValueCountFrequency (%)
1 72
25.3%
2 54
18.9%
4 39
13.7%
3 36
12.6%
5 21
 
7.4%
6 16
 
5.6%
0 14
 
4.9%
9 12
 
4.2%
8 12
 
4.2%
7 9
 
3.2%
Space Separator
ValueCountFrequency (%)
348
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1234
60.6%
Common 801
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 162
13.1%
성 120
 
9.7%
서 79
 
6.4%
울 78
 
6.3%
특 78
 
6.3%
별 78
 
6.3%
시 78
 
6.3%
구 78
 
6.3%
로 64
 
5.2%
수 44
 
3.6%
Other values (69) 375
30.4%
Common
ValueCountFrequency (%)
348
43.4%
) 78
 
9.7%
( 78
 
9.7%
1 72
 
9.0%
2 54
 
6.7%
4 39
 
4.9%
3 36
 
4.5%
5 21
 
2.6%
6 16
 
2.0%
0 14
 
1.7%
Other values (5) 45
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1234
60.6%
ASCII 801
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
348
43.4%
) 78
 
9.7%
( 78
 
9.7%
1 72
 
9.0%
2 54
 
6.7%
4 39
 
4.9%
3 36
 
4.5%
5 21
 
2.6%
6 16
 
2.0%
0 14
 
1.7%
Other values (5) 45
 
5.6%
Hangul
ValueCountFrequency (%)
동 162
13.1%
성 120
 
9.7%
서 79
 
6.4%
울 78
 
6.3%
특 78
 
6.3%
별 78
 
6.3%
시 78
 
6.3%
구 78
 
6.3%
로 64
 
5.2%
수 44
 
3.6%
Other values (69) 375
30.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing81
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean19103.556
Minimum4702
Maximum133849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T05:55:11.129855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4702
5-th percentile4704.8
Q14748
median4768
Q34805
95-th percentile82232.6
Maximum133849
Range129147
Interquartile range (IQR)57

Descriptive statistics

Standard deviation43029.558
Coefficient of variation (CV)2.2524371
Kurtosis8.9999805
Mean19103.556
Median Absolute Deviation (MAD)37
Skewness2.9999956
Sum171932
Variance1.8515429 × 109
MonotonicityNot monotonic
2024-05-11T05:55:11.525294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4756 1
 
1.1%
4702 1
 
1.1%
4709 1
 
1.1%
4768 1
 
1.1%
4808 1
 
1.1%
4805 1
 
1.1%
4748 1
 
1.1%
4787 1
 
1.1%
133849 1
 
1.1%
(Missing) 81
90.0%
ValueCountFrequency (%)
4702 1
1.1%
4709 1
1.1%
4748 1
1.1%
4756 1
1.1%
4768 1
1.1%
4787 1
1.1%
4805 1
1.1%
4808 1
1.1%
133849 1
1.1%
ValueCountFrequency (%)
133849 1
1.1%
4808 1
1.1%
4805 1
1.1%
4787 1
1.1%
4768 1
1.1%
4756 1
1.1%
4748 1
1.1%
4709 1
1.1%
4702 1
1.1%

사업장명
Text

Distinct85
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size852.0 B
2024-05-11T05:55:12.416251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length8.6222222
Min length2

Characters and Unicode

Total characters776
Distinct characters139
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)88.9%

Sample

1st row여주 상회
2nd row덕수 상회
3rd row(주)보고유화
4th row일광 석유
5th row도선동 주유소
ValueCountFrequency (%)
주유소 16
 
10.7%
석유 11
 
7.3%
sk글로벌(주 3
 
2.0%
상회 3
 
2.0%
주)유풍석유 2
 
1.3%
경진주유소 2
 
1.3%
효진주유소 2
 
1.3%
sk에너지(주 2
 
1.3%
영진 2
 
1.3%
상사 2
 
1.3%
Other values (101) 105
70.0%
2024-05-11T05:55:13.813607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 79
 
10.2%
주 76
 
9.8%
60
 
7.7%
소 45
 
5.8%
( 31
 
4.0%
) 31
 
4.0%
동 21
 
2.7%
에 20
 
2.6%
석 18
 
2.3%
지 17
 
2.2%
Other values (129) 378
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 620
79.9%
Space Separator 60
 
7.7%
Open Punctuation 31
 
4.0%
Close Punctuation 31
 
4.0%
Uppercase Letter 27
 
3.5%
Other Punctuation 4
 
0.5%
Decimal Number 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 79
 
12.7%
주 76
 
12.3%
소 45
 
7.3%
동 21
 
3.4%
에 20
 
3.2%
석 18
 
2.9%
지 17
 
2.7%
너 15
 
2.4%
진 13
 
2.1%
일 13
 
2.1%
Other values (115) 303
48.9%
Uppercase Letter
ValueCountFrequency (%)
K 11
40.7%
S 10
37.0%
L 2
 
7.4%
G 1
 
3.7%
C 1
 
3.7%
P 1
 
3.7%
H 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
? 1
 
25.0%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 620
79.9%
Common 129
 
16.6%
Latin 27
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 79
 
12.7%
주 76
 
12.3%
소 45
 
7.3%
동 21
 
3.4%
에 20
 
3.2%
석 18
 
2.9%
지 17
 
2.7%
너 15
 
2.4%
진 13
 
2.1%
일 13
 
2.1%
Other values (115) 303
48.9%
Common
ValueCountFrequency (%)
60
46.5%
( 31
24.0%
) 31
24.0%
, 3
 
2.3%
2 2
 
1.6%
? 1
 
0.8%
4 1
 
0.8%
Latin
ValueCountFrequency (%)
K 11
40.7%
S 10
37.0%
L 2
 
7.4%
G 1
 
3.7%
C 1
 
3.7%
P 1
 
3.7%
H 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 620
79.9%
ASCII 156
 
20.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 79
 
12.7%
주 76
 
12.3%
소 45
 
7.3%
동 21
 
3.4%
에 20
 
3.2%
석 18
 
2.9%
지 17
 
2.7%
너 15
 
2.4%
진 13
 
2.1%
일 13
 
2.1%
Other values (115) 303
48.9%
ASCII
ValueCountFrequency (%)
60
38.5%
( 31
19.9%
) 31
19.9%
K 11
 
7.1%
S 10
 
6.4%
, 3
 
1.9%
L 2
 
1.3%
2 2
 
1.3%
G 1
 
0.6%
C 1
 
0.6%
Other values (4) 4
 
2.6%

최종수정일자
Date

UNIQUE 

Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size852.0 B
Minimum2006-03-20 00:00:00
Maximum2024-03-26 11:31:14
2024-05-11T05:55:14.376358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:55:15.021755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
I
58 
U
32 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 58
64.4%
U 32
35.6%

Length

2024-05-11T05:55:15.492424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:55:15.784681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 58
64.4%
u 32
35.6%

데이터갱신일자
Categorical

Distinct23
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Memory size852.0 B
2018-08-31 23:59:59.0
58 
2020-06-20 02:40:00.0
8 
2018-09-14 23:59:59.0
 
2
2022-11-01 21:01:00.0
 
2
2021-12-04 23:04:00.0
 
2
Other values (18)
18 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique18 ?
Unique (%)20.0%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 58
64.4%
2020-06-20 02:40:00.0 8
 
8.9%
2018-09-14 23:59:59.0 2
 
2.2%
2022-11-01 21:01:00.0 2
 
2.2%
2021-12-04 23:04:00.0 2
 
2.2%
2022-12-02 00:05:00.0 1
 
1.1%
2020-06-26 02:40:00.0 1
 
1.1%
2021-10-30 22:02:00.0 1
 
1.1%
2022-01-06 02:40:00.0 1
 
1.1%
2022-12-03 23:05:00.0 1
 
1.1%
Other values (13) 13
 
14.4%

Length

2024-05-11T05:55:16.141596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 60
33.3%
2018-08-31 58
32.2%
02:40:00.0 12
 
6.7%
2020-06-20 8
 
4.4%
2021-12-04 4
 
2.2%
2022-11-01 3
 
1.7%
00:06:00.0 2
 
1.1%
2023-12-02 2
 
1.1%
2021-12-07 2
 
1.1%
23:04:00.0 2
 
1.1%
Other values (25) 27
15.0%

업태구분명
Categorical

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size852.0 B
주유소
48 
일반판매소
36 
용제판매소
6 

Length

Max length5
Median length3
Mean length3.9333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반판매소
2nd row일반판매소
3rd row일반판매소
4th row일반판매소
5th row주유소

Common Values

ValueCountFrequency (%)
주유소 48
53.3%
일반판매소 36
40.0%
용제판매소 6
 
6.7%

Length

2024-05-11T05:55:16.553545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:55:16.912710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 48
53.3%
일반판매소 36
40.0%
용제판매소 6
 
6.7%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)77.4%
Missing6
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean204161.2
Minimum200935.02
Maximum206150.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T05:55:17.504803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200935.02
5-th percentile201686.4
Q1203381.59
median204321.1
Q3205052.97
95-th percentile205968.82
Maximum206150.17
Range5215.1482
Interquartile range (IQR)1671.376

Descriptive statistics

Standard deviation1274.5143
Coefficient of variation (CV)0.0062426858
Kurtosis-0.25794603
Mean204161.2
Median Absolute Deviation (MAD)765.7615
Skewness-0.61112426
Sum17149541
Variance1624386.6
MonotonicityNot monotonic
2024-05-11T05:55:17.960449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204047.447898153 4
 
4.4%
205649.042560025 3
 
3.3%
204320.528266283 3
 
3.3%
205968.822217882 3
 
3.3%
204811.005190157 3
 
3.3%
204850.156526564 3
 
3.3%
206046.344908131 2
 
2.2%
203638.998039853 2
 
2.2%
205085.247290282 2
 
2.2%
203292.861695469 2
 
2.2%
Other values (55) 57
63.3%
(Missing) 6
 
6.7%
ValueCountFrequency (%)
200935.024540138 1
1.1%
201311.491347486 1
1.1%
201396.118230344 1
1.1%
201650.190113743 1
1.1%
201662.343567847 1
1.1%
201822.694045213 1
1.1%
201825.397912478 1
1.1%
201996.388213862 1
1.1%
202144.651834063 1
1.1%
202181.88105931 1
1.1%
ValueCountFrequency (%)
206150.172716362 1
 
1.1%
206046.344908131 2
2.2%
205982.153936466 1
 
1.1%
205968.822217882 3
3.3%
205649.042560025 3
3.3%
205643.248139757 2
2.2%
205536.069138785 1
 
1.1%
205437.201136052 1
 
1.1%
205361.635163316 1
 
1.1%
205349.90327902 1
 
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)77.4%
Missing6
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean450147.04
Minimum448440.59
Maximum452029.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-05-11T05:55:18.391975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448440.59
5-th percentile448649.14
Q1449115.35
median449899.56
Q3451264.78
95-th percentile451815.12
Maximum452029.16
Range3588.5742
Interquartile range (IQR)2149.4368

Descriptive statistics

Standard deviation1097.4144
Coefficient of variation (CV)0.0024379021
Kurtosis-1.3893254
Mean450147.04
Median Absolute Deviation (MAD)1018.8577
Skewness0.15362078
Sum37812351
Variance1204318.4
MonotonicityNot monotonic
2024-05-11T05:55:18.890287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449899.558971221 4
 
4.4%
449092.184015189 3
 
3.3%
451815.117242104 3
 
3.3%
450921.907971717 3
 
3.3%
451358.607132575 3
 
3.3%
451332.479080602 3
 
3.3%
450907.477571462 2
 
2.2%
451264.782050356 2
 
2.2%
449121.745468799 2
 
2.2%
452029.164444686 2
 
2.2%
Other values (55) 57
63.3%
(Missing) 6
 
6.7%
ValueCountFrequency (%)
448440.590288582 1
1.1%
448465.047170851 1
1.1%
448470.94145322 1
1.1%
448508.565484008 1
1.1%
448635.473098159 1
1.1%
448726.553247084 1
1.1%
448746.104640885 1
1.1%
448752.101959016 1
1.1%
448808.060834241 2
2.2%
448817.329182521 1
1.1%
ValueCountFrequency (%)
452029.164444686 2
2.2%
451979.217307863 1
 
1.1%
451815.117242104 3
3.3%
451684.742754053 1
 
1.1%
451679.735526041 1
 
1.1%
451637.573508806 1
 
1.1%
451630.740026295 1
 
1.1%
451508.445496675 1
 
1.1%
451473.554274159 1
 
1.1%
451358.607132575 3
3.3%

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

거래처
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing90
Missing (%)100.0%
Memory size942.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
03030000196930300740120000119691029<NA>3폐업3폐지<NA><NA><NA><NA>22522803<NA><NA>서울특별시 성동구 금호동3가 209서울특별시 성동구 무수막길 1 (금호동3가)<NA>여주 상회2010-08-11 17:47:23I2018-08-31 23:59:59.0일반판매소202181.881059449564.742176<NA><NA>
13030000197030300740120000119700728<NA>3폐업3폐지<NA><NA><NA><NA>22347631<NA><NA>서울특별시 성동구 금호동3가 1116서울특별시 성동구 무수막길 59 (금호동3가)<NA>덕수 상회2010-08-11 17:46:49I2018-08-31 23:59:59.0일반판매소201822.694045449911.740776<NA><NA>
23030000197030300740120000219700531<NA>3폐업3폐지20160727<NA><NA><NA>22815265<NA><NA>서울특별시 성동구 금호동3가 620서울특별시 성동구 무수막길 41 (금호동3가)<NA>(주)보고유화2016-07-27 17:22:16I2018-08-31 23:59:59.0일반판매소201996.388214449832.565007<NA><NA>
33030000197130300740120000119710830<NA>3폐업3폐지<NA><NA><NA><NA>22381949<NA><NA>서울특별시 성동구 금호동2가 325서울특별시 성동구 금호산길 71 (금호동2가)<NA>일광 석유2009-10-30 15:50:46I2018-08-31 23:59:59.0일반판매소201662.343568450253.502014<NA><NA>
43030000197630300740150000119760426<NA>3폐업3폐지<NA><NA><NA><NA>0222923744478.5<NA>서울특별시 성동구 도선동 21-1서울특별시 성동구 고산자로 255 (도선동)<NA>도선동 주유소2007-11-26 16:04:03I2018-08-31 23:59:59.0주유소203086.926718451149.392096<NA><NA>
53030000197630300740150000419760519<NA>3폐업3폐지<NA><NA><NA><NA>46235661761.0<NA>서울특별시 성동구 성수동1가 656-216서울특별시 성동구 광나루로 146 (성수동1가)<NA>대양산업(주) 동부 주유소2010-08-11 17:26:00I2018-08-31 23:59:59.0주유소204047.447898449899.558971<NA><NA>
63030000197630300740150000519760519<NA>3폐업3폐지<NA><NA><NA><NA>4640719660.0<NA>서울특별시 성동구 성수동1가 656-289서울특별시 성동구 왕십리로 130 (성수동1가)<NA>삼오에너지(주)2013-05-22 16:59:44I2018-08-31 23:59:59.0주유소203955.25289449955.55526<NA><NA>
73030000197630300740150000619760524<NA>3폐업3폐지<NA><NA><NA><NA>224449451028.0<NA>서울특별시 성동구 용답동 236-1서울특별시 성동구 천호대로 446 (용답동)<NA>군자동 주유소2010-08-11 17:24:47I2018-08-31 23:59:59.0주유소205968.822218450921.907972<NA><NA>
83030000197630300740150000719760601<NA>3폐업3폐지<NA><NA><NA><NA>224255511885.0<NA>서울특별시 성동구 용답동 2-3서울특별시 성동구 천호대로 320 (용답동)<NA>SK글로벌(주) 장안 주유소2010-08-11 17:24:02I2018-08-31 23:59:59.0주유소204811.00519451358.607133<NA><NA>
93030000197630300740150000819760531<NA>1영업/정상1신규등록<NA><NA><NA><NA>22970066781.0<NA>서울특별시 성동구 금호동4가 187-2서울특별시 성동구 금호로 39 (금호동4가)<NA>금호주유소2022-08-10 14:52:23U2021-12-07 23:02:00.0주유소202144.651834449425.226534<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
80303000020043030074015000052004-10-12<NA>1영업/정상6휴지사업재개<NA>2009-05-062009-10-312009-09-2746369191158.0<NA>서울특별시 성동구 성수동2가 19-14서울특별시 성동구 아차산로 180 (성수동2가)4787지에스칼텍스(주)도루코주유소2024-03-26 11:31:14U2023-12-02 22:08:00.0주유소205536.069139448868.037765<NA><NA>
813030000200630300740150000120060814<NA>3폐업3폐지20091020<NA><NA><NA>0222910435<NA><NA>서울특별시 성동구 옥수동 365-6 덕성빌딩 302호서울특별시 성동구 한림말5길 11 (옥수동,덕성빌딩 302호)<NA>(주)대호켐2009-10-23 14:59:10I2018-08-31 23:59:59.0용제판매소201396.11823448897.697384<NA><NA>
823030000200830301030150000120080711<NA>3폐업3폐지20120216<NA><NA><NA>4631293<NA><NA>서울특별시 성동구 성수동1가 656-410 홍성빌딩 337호서울특별시 성동구 왕십리로 38 (성수동1가,홍성빌딩 337호)<NA>동진SC상사2018-02-12 16:11:21I2018-08-31 23:59:59.0용제판매소203843.501677448746.104641<NA><NA>
833030000200830301030150000220081125<NA>1영업/정상1신규등록<NA><NA><NA><NA>4970864<NA><NA>서울특별시 성동구 성수동1가 33-21 비즈웰 오피스텔 318호서울특별시 성동구 뚝섬로3길 16 (성수동1가,비즈웰 오피스텔 318호)<NA>제이앤에스켐(주)2008-11-25 17:04:17I2018-08-31 23:59:59.0용제판매소204321.668357448817.329183<NA><NA>
84303000020133030132012000012013-12-02<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 465 4881330.0<NA>서울특별시 성동구 성수동2가 277-141서울특별시 성동구 아차산로 131 (성수동2가)<NA>등유배달경유난방유기름배달보관2023-12-04 09:29:35U2022-11-02 00:06:00.0일반판매소205088.472341449096.144779<NA><NA>
853030000201330301320150000120130618<NA>3폐업3폐지20170731<NA><NA><NA>02 4648122759.2<NA>서울특별시 성동구 성수동2가 322-4서울특별시 성동구 성수이로14길 14 (성수동2가)<NA>(주)대명케미칼2017-07-31 11:35:13I2018-08-31 23:59:59.0용제판매소204965.130972448808.060834<NA><NA>
863030000201330301320150000220130619<NA>3폐업3폐지20170731<NA><NA><NA>4648122759.2<NA><NA>서울특별시 성동구 성수이로14길 14 (성수동2가)<NA>(주)대명케미칼2017-08-02 10:17:04I2018-08-31 23:59:59.0용제판매소204965.130972448808.060834<NA><NA>
873030000201330301320150000320131203<NA>4취소/말소/만료/정지/중지2등록취소<NA><NA><NA><NA>02 4654881<NA><NA>서울특별시 성동구 성수동2가 277-55서울특별시 성동구 성수이로22길 10 (성수동2가)<NA>(주)태영오일2016-10-31 17:32:11I2018-08-31 23:59:59.0용제판매소205085.24729449121.745469<NA><NA>
883030000201430301320120000120140609<NA>3폐업3폐지20220331<NA><NA><NA>02 22986315345.21<NA><NA>서울특별시 성동구 천호대로 254 (용답동)<NA>(주)유풍석유2022-04-04 13:30:10U2021-12-04 00:07:00.0일반판매소204320.528266451815.117242<NA><NA>
893030000201430301320120000220140609<NA>3폐업3폐지20220331<NA><NA><NA>02 22986315345.21<NA>서울특별시 성동구 용답동 118-9서울특별시 성동구 천호대로 254 (용답동)133849(주)유풍석유2022-04-01 18:00:52U2021-12-04 00:03:00.0일반판매소204320.528266451815.117242<NA><NA>