Overview

Dataset statistics

Number of variables27
Number of observations69
Missing cells461
Missing cells (%)24.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.6 KiB
Average record size in memory230.9 B

Variable types

Categorical10
Numeric5
DateTime5
Text4
Unsupported3

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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-19076/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (89.1%)Imbalance
도로명우편번호 is highly imbalanced (89.1%)Imbalance
폐업일자 has 36 (52.2%) missing valuesMissing
휴업시작일자 has 57 (82.6%) missing valuesMissing
휴업종료일자 has 57 (82.6%) missing valuesMissing
재개업일자 has 59 (85.5%) missing valuesMissing
전화번호 has 4 (5.8%) missing valuesMissing
소재지면적 has 27 (39.1%) missing valuesMissing
소재지우편번호 has 69 (100.0%) missing valuesMissing
도로명주소 has 2 (2.9%) missing valuesMissing
좌표정보(X) has 6 (8.7%) missing valuesMissing
좌표정보(Y) has 6 (8.7%) missing valuesMissing
자본금 has 69 (100.0%) missing valuesMissing
거래처 has 69 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
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 03:55:20.616038
Analysis finished2024-05-11 03:55:21.578539
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
3240000
69 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 69
100.0%

Length

2024-05-11T03:55:21.918491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:22.350767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 69
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9691454 × 1018
Minimum2
Maximum2.009324 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T03:55:22.928759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile1.988724 × 1018
Q11.992324 × 1018
median2.000324 × 1018
Q32.002324 × 1018
95-th percentile2.008324 × 1018
Maximum2.009324 × 1018
Range2.009324 × 1018
Interquartile range (IQR)9.9999954 × 1015

Descriptive statistics

Standard deviation2.4063812 × 1017
Coefficient of variation (CV)0.12220434
Kurtosis68.886543
Mean1.9691454 × 1018
Median Absolute Deviation (MAD)6.0000046 × 1015
Skewness-8.2965382
Sum6.7438241 × 1018
Variance5.7906704 × 1034
MonotonicityStrictly increasing
2024-05-11T03:55:23.507844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1
 
1.4%
2001324007301500010 1
 
1.4%
2001324007301500036 1
 
1.4%
2001324007301500035 1
 
1.4%
2001324007301500034 1
 
1.4%
2001324007301500033 1
 
1.4%
2001324007301500015 1
 
1.4%
2001324007301500011 1
 
1.4%
2001324007301500009 1
 
1.4%
2002324011901200001 1
 
1.4%
Other values (59) 59
85.5%
ValueCountFrequency (%)
2 1
1.4%
1976324007301500003 1
1.4%
1980324013901200001 1
1.4%
1988324013901200170 1
1.4%
1989324007301500012 1
1.4%
1989324007301500013 1
1.4%
1989324013901200175 1
1.4%
1990324013901200008 1
1.4%
1990324013901200201 1
1.4%
1991324013901200202 1
1.4%
ValueCountFrequency (%)
2009324013901500002 1
1.4%
2009324013901500001 1
1.4%
2008324013901500003 1
1.4%
2008324013901500002 1
1.4%
2008324013901500001 1
1.4%
2006324011901200003 1
1.4%
2006324011901200002 1
1.4%
2006324011901200001 1
1.4%
2005324011901500001 1
1.4%
2005324011901200099 1
1.4%

인허가일자
Date

Distinct57
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum1971-05-27 00:00:00
Maximum2009-07-15 00:00:00
2024-05-11T03:55:24.162137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:55:24.811400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
68 
20151124
 
1

Length

Max length8
Median length4
Mean length4.057971
Min length4

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
98.6%
20151124 1
 
1.4%

Length

2024-05-11T03:55:25.293822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:25.677283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
98.6%
20151124 1
 
1.4%

영업상태코드
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
3
48 
1
19 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 48
69.6%
1 19
 
27.5%
4 2
 
2.9%

Length

2024-05-11T03:55:25.990763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:26.305145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 48
69.6%
1 19
 
27.5%
4 2
 
2.9%

영업상태명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
폐업
48 
영업/정상
19 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length2
Mean length3.173913
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 48
69.6%
영업/정상 19
 
27.5%
취소/말소/만료/정지/중지 2
 
2.9%

Length

2024-05-11T03:55:26.793359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:27.201605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 48
69.6%
영업/정상 19
 
27.5%
취소/말소/만료/정지/중지 2
 
2.9%

상세영업상태코드
Categorical

Distinct4
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size684.0 B
3
48 
1
12 
6
7 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row6
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 48
69.6%
1 12
 
17.4%
6 7
 
10.1%
2 2
 
2.9%

Length

2024-05-11T03:55:27.715868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:28.173087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 48
69.6%
1 12
 
17.4%
6 7
 
10.1%
2 2
 
2.9%

상세영업상태명
Categorical

Distinct4
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size684.0 B
폐지
48 
신규등록
12 
휴지사업재개
7 
등록취소
 
2

Length

Max length6
Median length2
Mean length2.8115942
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐지 48
69.6%
신규등록 12
 
17.4%
휴지사업재개 7
 
10.1%
등록취소 2
 
2.9%

Length

2024-05-11T03:55:28.713973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:29.225336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 48
69.6%
신규등록 12
 
17.4%
휴지사업재개 7
 
10.1%
등록취소 2
 
2.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)97.0%
Missing36
Missing (%)52.2%
Infinite0
Infinite (%)0.0%
Mean20100044
Minimum19830202
Maximum20220720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T03:55:29.727507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19830202
5-th percentile19920845
Q120030514
median20130219
Q320161222
95-th percentile20210642
Maximum20220720
Range390518
Interquartile range (IQR)130708

Descriptive statistics

Standard deviation95580.308
Coefficient of variation (CV)0.0047552288
Kurtosis0.74350044
Mean20100044
Median Absolute Deviation (MAD)49905
Skewness-1.0787921
Sum6.6330146 × 108
Variance9.1355953 × 109
MonotonicityNot monotonic
2024-05-11T03:55:30.263737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
20020321 2
 
2.9%
20130219 1
 
1.4%
20211108 1
 
1.4%
20030514 1
 
1.4%
20190226 1
 
1.4%
20180701 1
 
1.4%
20010721 1
 
1.4%
20130116 1
 
1.4%
19830202 1
 
1.4%
20150130 1
 
1.4%
Other values (22) 22
31.9%
(Missing) 36
52.2%
ValueCountFrequency (%)
19830202 1
1.4%
19920718 1
1.4%
19920930 1
1.4%
19951213 1
1.4%
20010721 1
1.4%
20010915 1
1.4%
20020321 2
2.9%
20030514 1
1.4%
20080314 1
1.4%
20090331 1
1.4%
ValueCountFrequency (%)
20220720 1
1.4%
20211108 1
1.4%
20210331 1
1.4%
20201201 1
1.4%
20190226 1
1.4%
20190211 1
1.4%
20180701 1
1.4%
20171201 1
1.4%
20161222 1
1.4%
20151123 1
1.4%

휴업시작일자
Date

MISSING 

Distinct12
Distinct (%)100.0%
Missing57
Missing (%)82.6%
Memory size684.0 B
Minimum2009-10-19 00:00:00
Maximum2018-12-27 00:00:00
2024-05-11T03:55:30.695858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:55:31.154204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

휴업종료일자
Date

MISSING 

Distinct11
Distinct (%)91.7%
Missing57
Missing (%)82.6%
Memory size684.0 B
Minimum2010-07-15 00:00:00
Maximum2019-03-31 00:00:00
2024-05-11T03:55:31.531578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:55:31.900568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

재개업일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing59
Missing (%)85.5%
Memory size684.0 B
Minimum2010-04-28 00:00:00
Maximum2023-04-27 00:00:00
2024-05-11T03:55:32.317719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:55:32.802889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

전화번호
Text

MISSING 

Distinct62
Distinct (%)95.4%
Missing4
Missing (%)5.8%
Memory size684.0 B
2024-05-11T03:55:33.486460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.6307692
Min length1

Characters and Unicode

Total characters626
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

Unique60 ?
Unique (%)92.3%

Sample

1st row02 4764118
2nd row02 4275230
3rd row4877654
4th row02426 9525
5th row02 4793838
ValueCountFrequency (%)
02 45
39.1%
4425252 3
 
2.6%
4754884 2
 
1.7%
4883491 2
 
1.7%
4775109 2
 
1.7%
4776171 2
 
1.7%
4427803 1
 
0.9%
4886926 1
 
0.9%
4764118 1
 
0.9%
1 1
 
0.9%
Other values (55) 55
47.8%
2024-05-11T03:55:34.443071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 103
16.5%
4 99
15.8%
0 91
14.5%
57
9.1%
1 53
8.5%
7 51
8.1%
8 46
7.3%
3 42
6.7%
5 33
 
5.3%
9 29
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 569
90.9%
Space Separator 57
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 103
18.1%
4 99
17.4%
0 91
16.0%
1 53
9.3%
7 51
9.0%
8 46
8.1%
3 42
7.4%
5 33
 
5.8%
9 29
 
5.1%
6 22
 
3.9%
Space Separator
ValueCountFrequency (%)
57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 626
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 103
16.5%
4 99
15.8%
0 91
14.5%
57
9.1%
1 53
8.5%
7 51
8.1%
8 46
7.3%
3 42
6.7%
5 33
 
5.3%
9 29
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 626
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 103
16.5%
4 99
15.8%
0 91
14.5%
57
9.1%
1 53
8.5%
7 51
8.1%
8 46
7.3%
3 42
6.7%
5 33
 
5.3%
9 29
 
4.6%

소재지면적
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)83.3%
Missing27
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean1198.9762
Minimum317
Maximum7759.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T03:55:35.180162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum317
5-th percentile590.85
Q1740.375
median1000
Q31338.5
95-th percentile1750.35
Maximum7759.5
Range7442.5
Interquartile range (IQR)598.125

Descriptive statistics

Standard deviation1096.3064
Coefficient of variation (CV)0.91436879
Kurtosis33.017258
Mean1198.9762
Median Absolute Deviation (MAD)304
Skewness5.4467761
Sum50357
Variance1201887.7
MonotonicityNot monotonic
2024-05-11T03:55:35.631201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1400.0 3
 
4.3%
759.5 2
 
2.9%
1318.0 2
 
2.9%
699.0 2
 
2.9%
930.0 2
 
2.9%
1011.0 2
 
2.9%
1344.0 1
 
1.4%
1596.0 1
 
1.4%
734.0 1
 
1.4%
894.0 1
 
1.4%
Other values (25) 25
36.2%
(Missing) 27
39.1%
ValueCountFrequency (%)
317.0 1
1.4%
477.0 1
1.4%
590.0 1
1.4%
607.0 1
1.4%
662.0 1
1.4%
663.0 1
1.4%
693.0 1
1.4%
699.0 2
2.9%
726.0 1
1.4%
734.0 1
1.4%
ValueCountFrequency (%)
7759.5 1
 
1.4%
1756.0 1
 
1.4%
1752.0 1
 
1.4%
1719.0 1
 
1.4%
1596.0 1
 
1.4%
1488.0 1
 
1.4%
1400.0 3
4.3%
1398.0 1
 
1.4%
1344.0 1
 
1.4%
1322.0 1
 
1.4%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

지번주소
Text

Distinct63
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-11T03:55:36.176206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length21.188406
Min length17

Characters and Unicode

Total characters1462
Distinct characters57
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

Unique57 ?
Unique (%)82.6%

Sample

1st row서울특별시 강동구 천호동 449-49 힐탑오피스텔 625호
2nd row서울특별시 강동구 상일동 443-8
3rd row서울특별시 강동구 성내동 421-24
4th row서울특별시 강동구 고덕동 506-7 24통6반
5th row서울특별시 강동구 성내동 108-9 ,107-7
ValueCountFrequency (%)
서울특별시 69
23.5%
강동구 69
23.5%
천호동 19
 
6.5%
성내동 12
 
4.1%
길동 12
 
4.1%
암사동 9
 
3.1%
명일동 7
 
2.4%
강일동 4
 
1.4%
둔촌동 4
 
1.4%
642-1 3
 
1.0%
Other values (73) 85
29.0%
2024-05-11T03:55:37.124762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
276
18.9%
동 139
 
9.5%
강 73
 
5.0%
서 69
 
4.7%
구 69
 
4.7%
울 69
 
4.7%
시 69
 
4.7%
별 69
 
4.7%
특 69
 
4.7%
- 63
 
4.3%
Other values (47) 497
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 801
54.8%
Decimal Number 319
 
21.8%
Space Separator 276
 
18.9%
Dash Punctuation 63
 
4.3%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 139
17.4%
강 73
9.1%
서 69
8.6%
구 69
8.6%
울 69
8.6%
시 69
8.6%
별 69
8.6%
특 69
8.6%
호 24
 
3.0%
천 19
 
2.4%
Other values (34) 132
16.5%
Decimal Number
ValueCountFrequency (%)
4 59
18.5%
1 58
18.2%
5 39
12.2%
2 36
11.3%
3 31
9.7%
6 26
8.2%
9 19
 
6.0%
0 19
 
6.0%
7 18
 
5.6%
8 14
 
4.4%
Space Separator
ValueCountFrequency (%)
276
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 801
54.8%
Common 661
45.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 139
17.4%
강 73
9.1%
서 69
8.6%
구 69
8.6%
울 69
8.6%
시 69
8.6%
별 69
8.6%
특 69
8.6%
호 24
 
3.0%
천 19
 
2.4%
Other values (34) 132
16.5%
Common
ValueCountFrequency (%)
276
41.8%
- 63
 
9.5%
4 59
 
8.9%
1 58
 
8.8%
5 39
 
5.9%
2 36
 
5.4%
3 31
 
4.7%
6 26
 
3.9%
9 19
 
2.9%
0 19
 
2.9%
Other values (3) 35
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 801
54.8%
ASCII 661
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
276
41.8%
- 63
 
9.5%
4 59
 
8.9%
1 58
 
8.8%
5 39
 
5.9%
2 36
 
5.4%
3 31
 
4.7%
6 26
 
3.9%
9 19
 
2.9%
0 19
 
2.9%
Other values (3) 35
 
5.3%
Hangul
ValueCountFrequency (%)
동 139
17.4%
강 73
9.1%
서 69
8.6%
구 69
8.6%
울 69
8.6%
시 69
8.6%
별 69
8.6%
특 69
8.6%
호 24
 
3.0%
천 19
 
2.4%
Other values (34) 132
16.5%

도로명주소
Text

MISSING 

Distinct58
Distinct (%)86.6%
Missing2
Missing (%)2.9%
Memory size684.0 B
2024-05-11T03:55:37.604318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length38
Mean length25.970149
Min length22

Characters and Unicode

Total characters1740
Distinct characters74
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

Unique51 ?
Unique (%)76.1%

Sample

1st row서울특별시 강동구 천호대로 1073, 625호 (천호동,힐탑오피스텔)
2nd row서울특별시 강동구 천호대로 1456 (상일동)
3rd row서울특별시 강동구 성안로 51-1 (성내동)
4th row서울특별시 강동구 동남로83길 26 (고덕동)
5th row서울특별시 강동구 올림픽로 578 (성내동)
ValueCountFrequency (%)
서울특별시 67
19.5%
강동구 67
19.5%
천호동 15
 
4.4%
천호대로 13
 
3.8%
성내동 12
 
3.5%
길동 10
 
2.9%
암사동 8
 
2.3%
고덕로 6
 
1.7%
명일동 6
 
1.7%
양재대로 5
 
1.5%
Other values (97) 134
39.1%
2024-05-11T03:55:38.600336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
290
 
16.7%
동 140
 
8.0%
강 70
 
4.0%
구 69
 
4.0%
서 67
 
3.9%
울 67
 
3.9%
) 67
 
3.9%
로 67
 
3.9%
( 67
 
3.9%
시 67
 
3.9%
Other values (64) 769
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1036
59.5%
Space Separator 290
 
16.7%
Decimal Number 262
 
15.1%
Close Punctuation 67
 
3.9%
Open Punctuation 67
 
3.9%
Other Punctuation 11
 
0.6%
Dash Punctuation 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 140
13.5%
강 70
 
6.8%
구 69
 
6.7%
서 67
 
6.5%
울 67
 
6.5%
로 67
 
6.5%
시 67
 
6.5%
별 67
 
6.5%
특 67
 
6.5%
천 41
 
4.0%
Other values (49) 314
30.3%
Decimal Number
ValueCountFrequency (%)
1 66
25.2%
2 35
13.4%
7 28
10.7%
3 26
 
9.9%
5 24
 
9.2%
8 22
 
8.4%
6 19
 
7.3%
4 18
 
6.9%
0 16
 
6.1%
9 8
 
3.1%
Space Separator
ValueCountFrequency (%)
290
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1036
59.5%
Common 704
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 140
13.5%
강 70
 
6.8%
구 69
 
6.7%
서 67
 
6.5%
울 67
 
6.5%
로 67
 
6.5%
시 67
 
6.5%
별 67
 
6.5%
특 67
 
6.5%
천 41
 
4.0%
Other values (49) 314
30.3%
Common
ValueCountFrequency (%)
290
41.2%
) 67
 
9.5%
( 67
 
9.5%
1 66
 
9.4%
2 35
 
5.0%
7 28
 
4.0%
3 26
 
3.7%
5 24
 
3.4%
8 22
 
3.1%
6 19
 
2.7%
Other values (5) 60
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1036
59.5%
ASCII 704
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
290
41.2%
) 67
 
9.5%
( 67
 
9.5%
1 66
 
9.4%
2 35
 
5.0%
7 28
 
4.0%
3 26
 
3.7%
5 24
 
3.4%
8 22
 
3.1%
6 19
 
2.7%
Other values (5) 60
 
8.5%
Hangul
ValueCountFrequency (%)
동 140
13.5%
강 70
 
6.8%
구 69
 
6.7%
서 67
 
6.5%
울 67
 
6.5%
로 67
 
6.5%
시 67
 
6.5%
별 67
 
6.5%
특 67
 
6.5%
천 41
 
4.0%
Other values (49) 314
30.3%

도로명우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
68 
5359
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
98.6%
5359 1
 
1.4%

Length

2024-05-11T03:55:39.016148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:39.352644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
98.6%
5359 1
 
1.4%

사업장명
Text

Distinct62
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-11T03:55:39.875510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length8.6811594
Min length4

Characters and Unicode

Total characters599
Distinct characters126
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)79.7%

Sample

1st row남경상사
2nd row지에스칼텍스(주)동서울주유소
3rd row나라석유
4th row(주)서현에너지
5th row(주)소모 성내주유소
ValueCountFrequency (%)
직영 3
 
3.2%
선사주유소 3
 
3.2%
부기석유 2
 
2.2%
주)소모 2
 
2.2%
제일석유 2
 
2.2%
해뜨는 2
 
2.2%
남경상사 2
 
2.2%
삼호케미칼(주 2
 
2.2%
태양주유소 2
 
2.2%
방아다리주유소 2
 
2.2%
Other values (70) 71
76.3%
2024-05-11T03:55:40.956818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 67
 
11.2%
유 63
 
10.5%
소 43
 
7.2%
( 27
 
4.5%
) 27
 
4.5%
24
 
4.0%
지 19
 
3.2%
석 18
 
3.0%
에 16
 
2.7%
동 12
 
2.0%
Other values (116) 283
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 504
84.1%
Open Punctuation 27
 
4.5%
Close Punctuation 27
 
4.5%
Space Separator 24
 
4.0%
Uppercase Letter 11
 
1.8%
Other Symbol 2
 
0.3%
Lowercase Letter 2
 
0.3%
Decimal Number 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 67
 
13.3%
유 63
 
12.5%
소 43
 
8.5%
지 19
 
3.8%
석 18
 
3.6%
에 16
 
3.2%
동 12
 
2.4%
너 11
 
2.2%
스 10
 
2.0%
사 10
 
2.0%
Other values (104) 235
46.6%
Uppercase Letter
ValueCountFrequency (%)
S 5
45.5%
K 3
27.3%
E 2
 
18.2%
Q 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 506
84.5%
Common 80
 
13.4%
Latin 13
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 67
 
13.2%
유 63
 
12.5%
소 43
 
8.5%
지 19
 
3.8%
석 18
 
3.6%
에 16
 
3.2%
동 12
 
2.4%
너 11
 
2.2%
스 10
 
2.0%
사 10
 
2.0%
Other values (105) 237
46.8%
Latin
ValueCountFrequency (%)
S 5
38.5%
K 3
23.1%
E 2
 
15.4%
Q 1
 
7.7%
s 1
 
7.7%
k 1
 
7.7%
Common
ValueCountFrequency (%)
( 27
33.8%
) 27
33.8%
24
30.0%
2 1
 
1.2%
. 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 504
84.1%
ASCII 93
 
15.5%
None 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 67
 
13.3%
유 63
 
12.5%
소 43
 
8.5%
지 19
 
3.8%
석 18
 
3.6%
에 16
 
3.2%
동 12
 
2.4%
너 11
 
2.2%
스 10
 
2.0%
사 10
 
2.0%
Other values (104) 235
46.6%
ASCII
ValueCountFrequency (%)
( 27
29.0%
) 27
29.0%
24
25.8%
S 5
 
5.4%
K 3
 
3.2%
E 2
 
2.2%
2 1
 
1.1%
. 1
 
1.1%
Q 1
 
1.1%
s 1
 
1.1%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

Distinct68
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum2004-11-23 00:00:00
Maximum2024-05-09 10:31:29
2024-05-11T03:55:41.594944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:55:42.038558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
I
45 
U
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 45
65.2%
U 24
34.8%

Length

2024-05-11T03:55:42.530355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:42.901903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 45
65.2%
u 24
34.8%

데이터갱신일자
Categorical

Distinct21
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
2018-08-31 23:59:59.0
45 
2021-12-04 23:04:00.0
 
3
2022-12-02 22:06:00.0
 
2
2021-11-01 23:07:00.0
 
2
2020-12-03 02:40:00.0
 
1
Other values (16)
16 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique17 ?
Unique (%)24.6%

Sample

1st row2018-08-31 23:59:59.0
2nd row2023-12-02 22:08:00.0
3rd row2018-08-31 23:59:59.0
4th row2019-07-10 02:40:00.0
5th row2022-12-02 22:06:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 45
65.2%
2021-12-04 23:04:00.0 3
 
4.3%
2022-12-02 22:06:00.0 2
 
2.9%
2021-11-01 23:07:00.0 2
 
2.9%
2020-12-03 02:40:00.0 1
 
1.4%
2019-07-10 02:40:00.0 1
 
1.4%
2022-01-07 02:40:00.0 1
 
1.4%
2023-12-04 23:01:00.0 1
 
1.4%
2022-10-30 23:08:00.0 1
 
1.4%
2021-10-02 02:40:00.0 1
 
1.4%
Other values (11) 11
 
15.9%

Length

2024-05-11T03:55:43.309427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 45
32.6%
23:59:59.0 45
32.6%
02:40:00.0 9
 
6.5%
2021-12-04 3
 
2.2%
23:04:00.0 3
 
2.2%
22:06:00.0 3
 
2.2%
2022-12-02 2
 
1.4%
2021-11-01 2
 
1.4%
23:07:00.0 2
 
1.4%
22:02:00.0 1
 
0.7%
Other values (23) 23
16.7%

업태구분명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
주유소
42 
일반판매소
20 
용제판매소
7 

Length

Max length5
Median length3
Mean length3.7826087
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주유소 42
60.9%
일반판매소 20
29.0%
용제판매소 7
 
10.1%

Length

2024-05-11T03:55:43.972710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:55:44.379005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 42
60.9%
일반판매소 20
29.0%
용제판매소 7
 
10.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)82.5%
Missing6
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean212102.45
Minimum210638.2
Maximum215143.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T03:55:45.163319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210638.2
5-th percentile210873.91
Q1211381.83
median212020.75
Q3212563.95
95-th percentile213705.56
Maximum215143.44
Range4505.2394
Interquartile range (IQR)1182.1246

Descriptive statistics

Standard deviation1044.7674
Coefficient of variation (CV)0.0049257678
Kurtosis1.3611289
Mean212102.45
Median Absolute Deviation (MAD)599.71239
Skewness1.1103551
Sum13362455
Variance1091539
MonotonicityNot monotonic
2024-05-11T03:55:45.688784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211827.38235365 2
 
2.9%
215143.439612 2
 
2.9%
212398.829616396 2
 
2.9%
212020.753642367 2
 
2.9%
212172.828537488 2
 
2.9%
211381.82567632 2
 
2.9%
213668.126022774 2
 
2.9%
212868.34314409 2
 
2.9%
211542.314116941 2
 
2.9%
210977.256530413 2
 
2.9%
Other values (42) 43
62.3%
(Missing) 6
 
8.7%
ValueCountFrequency (%)
210638.200179834 1
1.4%
210653.386014752 1
1.4%
210745.10103752 1
1.4%
210872.750381451 1
1.4%
210884.375897201 1
1.4%
210902.824729995 1
1.4%
210904.389398424 1
1.4%
210977.256530413 2
2.9%
210977.403927175 1
1.4%
211071.299 1
1.4%
ValueCountFrequency (%)
215143.439612 2
2.9%
214974.262562017 1
1.4%
213709.394875444 1
1.4%
213671.045593053 1
1.4%
213668.126022774 2
2.9%
213630.802497835 1
1.4%
213131.118271266 1
1.4%
212868.34314409 2
2.9%
212754.915904053 1
1.4%
212679.534259689 1
1.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)82.5%
Missing6
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean448934.27
Minimum447197.9
Maximum451040.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-11T03:55:46.112788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447197.9
5-th percentile447357.56
Q1448256.26
median448902.75
Q3449557.07
95-th percentile450326.19
Maximum451040.37
Range3842.4723
Interquartile range (IQR)1300.81

Descriptive statistics

Standard deviation1016.0325
Coefficient of variation (CV)0.0022632099
Kurtosis-0.72025683
Mean448934.27
Median Absolute Deviation (MAD)651.95553
Skewness0.17165796
Sum28282859
Variance1032322
MonotonicityNot monotonic
2024-05-11T03:55:46.615692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450266.429157594 2
 
2.9%
451040.370227 2
 
2.9%
448902.753612642 2
 
2.9%
449360.832118619 2
 
2.9%
448321.330153611 2
 
2.9%
450326.192995577 2
 
2.9%
449319.992790955 2
 
2.9%
448213.528535285 2
 
2.9%
448273.114107211 2
 
2.9%
447381.743610803 2
 
2.9%
Other values (42) 43
62.3%
(Missing) 6
 
8.7%
ValueCountFrequency (%)
447197.89790302 1
1.4%
447232.385450602 1
1.4%
447319.250139797 1
1.4%
447354.871526087 1
1.4%
447381.743610803 2
2.9%
447441.91508349 1
1.4%
447462.204655886 1
1.4%
447670.87524686 1
1.4%
447793.518514949 1
1.4%
448095.346236752 1
1.4%
ValueCountFrequency (%)
451040.370227 2
2.9%
450955.717293537 1
1.4%
450326.192995577 2
2.9%
450266.429157594 2
2.9%
450261.727924952 1
1.4%
450256.827395206 1
1.4%
450189.828696822 2
2.9%
450099.191717155 1
1.4%
450099.146541993 1
1.4%
449808.140570447 1
1.4%

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

거래처
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
03240000220041123<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 4764118<NA><NA>서울특별시 강동구 천호동 449-49 힐탑오피스텔 625호서울특별시 강동구 천호대로 1073, 625호 (천호동,힐탑오피스텔)<NA>남경상사2004-11-23 00:00:00I2018-08-31 23:59:59.0용제판매소211542.314117448273.114107<NA><NA>
1324000019763240073015000031976-05-10<NA>1영업/정상6휴지사업재개<NA>2018-04-012018-09-012018-09-2102 4275230590.0<NA>서울특별시 강동구 상일동 443-8서울특별시 강동구 천호대로 1456 (상일동)<NA>지에스칼텍스(주)동서울주유소2024-03-26 19:06:51U2023-12-02 22:08:00.0주유소214974.262562449228.803685<NA><NA>
23240000198032401390120000119800116<NA>3폐업3폐지20140909<NA><NA><NA>4877654<NA><NA>서울특별시 강동구 성내동 421-24서울특별시 강동구 성안로 51-1 (성내동)<NA>나라석유2014-10-01 16:20:25I2018-08-31 23:59:59.0일반판매소211484.697524447354.871526<NA><NA>
33240000198832401390120017019881028<NA>1영업/정상1신규등록<NA><NA><NA><NA>02426 9525<NA><NA>서울특별시 강동구 고덕동 506-7 24통6반서울특별시 강동구 동남로83길 26 (고덕동)<NA>(주)서현에너지2019-07-08 13:14:47U2019-07-10 02:40:00.0일반판매소213630.802498450955.717294<NA><NA>
4324000019893240073015000121989-10-14<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 47938381084.0<NA>서울특별시 강동구 성내동 108-9 ,107-7서울특별시 강동구 올림픽로 578 (성내동)<NA>(주)소모 성내주유소2023-03-24 14:20:57U2022-12-02 22:06:00.0주유소<NA><NA><NA><NA>
53240000198932400730150001319891207<NA>3폐업3폐지<NA><NA><NA><NA>02477 51011756.0<NA>서울특별시 강동구 길동 368-5서울특별시 강동구 양재대로 1509 (길동)<NA>(주)선우지에스엠 Q엔느 강동주유소2022-01-05 10:13:21U2022-01-07 02:40:00.0주유소212362.225949448712.00567<NA><NA>
63240000198932401390120017519890921<NA>3폐업3폐지20151123<NA><NA><NA>02 4734118<NA><NA>서울특별시 강동구 둔촌동 98-65서울특별시 강동구 진황도로 203-6 (둔촌동)<NA>대명석유2015-11-23 12:01:23I2018-08-31 23:59:59.0일반판매소212679.53426447319.25014<NA><NA>
73240000199032401390120000819901016<NA>3폐업3폐지20161222<NA><NA><NA>000204833719<NA><NA>서울특별시 강동구 천호동 322-8서울특별시 강동구 상암로4길 87 (천호동)<NA>이에스(E.S)에너지2016-12-22 15:13:03I2018-08-31 23:59:59.0일반판매소210977.403927449394.156678<NA><NA>
83240000199032401390120020119901231<NA>3폐업3폐지<NA><NA><NA><NA>4859011<NA><NA>서울특별시 강동구 길동 413-11서울특별시 강동구 천호대로177길 40 (길동)<NA>엘지석유2007-08-17 09:16:12I2018-08-31 23:59:59.0일반판매소212135.854741448250.798085<NA><NA>
93240000199132401390120020219910111<NA>3폐업3폐지20090331<NA><NA><NA>4429304<NA><NA>서울특별시 강동구 암사동 481-3서울특별시 강동구 구천면로47나길 24 (암사동)<NA>영일석유2009-03-31 13:34:41I2018-08-31 23:59:59.0일반판매소211734.35859449803.689474<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
593240000200532401190120009920051019<NA>4취소/말소/만료/정지/중지2등록취소<NA><NA><NA><NA>02 4754884<NA><NA>서울특별시 강동구 천호동 224-24서울특별시 강동구 상암로 127 (천호동)<NA>제일석유2007-01-19 00:00:00I2018-08-31 23:59:59.0일반판매소212020.753642449360.832119<NA><NA>
603240000200532401190150000120050525<NA>3폐업3폐지<NA><NA><NA><NA>02 4296323<NA><NA>서울특별시 강동구 천호동 51-1 거송빌딩302서울특별시 강동구 양재대로121길 7 (천호동,거송빌딩302)<NA>삼호케미칼(주)2006-12-27 00:00:00I2018-08-31 23:59:59.0용제판매소212398.829616448902.753613<NA><NA>
613240000200632401190120000120021224<NA>3폐업3폐지20220720<NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 393-9 10통6반서울특별시 강동구 천호대로185길 89-17 (길동)<NA>주식회사 삼성크린에너지2022-07-20 15:25:17U2021-12-06 22:02:00.0일반판매소212402.142689448428.093108<NA><NA>
62324000020063240119012000021987-05-29<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 4839393<NA><NA>서울특별시 강동구 천호동 47-1서울특별시 강동구 천중로35길 86 (천호동)<NA>동부에너지2023-11-29 13:40:51U2022-11-02 00:01:00.0일반판매소212207.064627449178.272256<NA><NA>
633240000200632401190120000319891201<NA>3폐업3폐지20210331<NA><NA><NA>02 4741152<NA><NA>서울특별시 강동구 천호동 366-1서울특별시 강동구 올림픽로78길 15-4 (천호동)<NA>부기석유2021-04-05 10:11:44U2021-04-07 02:40:00.0일반판매소211071.299448914.364<NA><NA>
643240000200832401390150000120080221<NA>3폐업3폐지20110630<NA><NA><NA>477 6304<NA><NA>서울특별시 강동구 천호동 51-1 거송빌딩 302호서울특별시 강동구 양재대로121길 7 (천호동,거송빌딩 302호)<NA>삼호케미칼(주)2011-07-04 17:29:16I2018-08-31 23:59:59.0용제판매소212398.829616448902.753613<NA><NA>
653240000200832401390150000220080321<NA>3폐업3폐지20090727<NA><NA><NA>4271951<NA><NA>서울특별시 강동구 명일동 47-16 동혜빌딩 601호서울특별시 강동구 동남로75길 13-25 (명일동,동혜빌딩 601호)<NA>(주)승주화학2009-07-27 10:43:10I2018-08-31 23:59:59.0용제판매소213671.045593450099.191717<NA><NA>
663240000200832401390150000320081222<NA>3폐업3폐지20090530<NA><NA><NA>44278031400.0<NA>서울특별시 강동구 강일동 642-1서울특별시 강동구 상일로 132 (강일동)<NA>해뜨는 주유소2017-11-23 16:09:07I2018-08-31 23:59:59.0주유소215143.439612451040.370227<NA><NA>
673240000200932401390150000120090715<NA>3폐업3폐지<NA><NA><NA><NA>11400.0<NA>서울특별시 강동구 강일동 642-1서울특별시 강동구 상일로 132 (강일동)<NA>해뜨는주유소(착오기재)2015-03-17 17:27:52I2018-08-31 23:59:59.0주유소215143.439612451040.370227<NA><NA>
68324000020093240139015000022009-07-15<NA>1영업/정상1신규등록<NA><NA><NA><NA>0244278011400.0<NA>서울특별시 강동구 강일동 642-1서울특별시 강동구 상일로 132 (강일동)<NA>해뜨는 주유소2023-04-17 16:58:51U2022-12-03 23:09:00.0주유소<NA><NA><NA><NA>