Overview

Dataset statistics

Number of variables27
Number of observations84
Missing cells630
Missing cells (%)27.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.8 KiB
Average record size in memory229.6 B

Variable types

Categorical9
Numeric5
DateTime6
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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-19063/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (88.3%)Imbalance
상세영업상태명 is highly imbalanced (51.3%)Imbalance
도로명우편번호 is highly imbalanced (90.7%)Imbalance
데이터갱신일자 is highly imbalanced (56.2%)Imbalance
폐업일자 has 47 (56.0%) missing valuesMissing
휴업시작일자 has 78 (92.9%) missing valuesMissing
휴업종료일자 has 78 (92.9%) missing valuesMissing
재개업일자 has 80 (95.2%) missing valuesMissing
전화번호 has 3 (3.6%) missing valuesMissing
소재지면적 has 45 (53.6%) missing valuesMissing
소재지우편번호 has 84 (100.0%) missing valuesMissing
지번주소 has 1 (1.2%) missing valuesMissing
도로명주소 has 14 (16.7%) missing valuesMissing
좌표정보(X) has 16 (19.0%) missing valuesMissing
좌표정보(Y) has 16 (19.0%) missing valuesMissing
자본금 has 84 (100.0%) missing valuesMissing
거래처 has 84 (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 04:53:33.999374
Analysis finished2024-05-11 04:53:34.930334
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
3110000
84 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 84
100.0%

Length

2024-05-11T04:53:35.172798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:53:35.568671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 84
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9887277 × 1018
Minimum1.968311 × 1018
Maximum2.017311 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-05-11T04:53:36.111363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968311 × 1018
5-th percentile1.970311 × 1018
Q11.978311 × 1018
median1.991311 × 1018
Q31.994311 × 1018
95-th percentile2.005861 × 1018
Maximum2.017311 × 1018
Range4.9000004 × 1016
Interquartile range (IQR)1.6 × 1016

Descriptive statistics

Standard deviation1.0645672 × 1016
Coefficient of variation (CV)0.0053530064
Kurtosis-0.31478101
Mean1.9887277 × 1018
Median Absolute Deviation (MAD)5.5 × 1015
Skewness-0.028531757
Sum1.0324281 × 1018
Variance1.1333033 × 1032
MonotonicityStrictly increasing
2024-05-11T04:53:36.789758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1968311008801200001 1
 
1.2%
1993311008801500025 1
 
1.2%
1994311008801500030 1
 
1.2%
1994311008801500028 1
 
1.2%
1993311008801500033 1
 
1.2%
1993311008801500032 1
 
1.2%
1993311008801500031 1
 
1.2%
1993311008801500029 1
 
1.2%
1993311008801500027 1
 
1.2%
1993311008801500026 1
 
1.2%
Other values (74) 74
88.1%
ValueCountFrequency (%)
1968311008801200001 1
1.2%
1968311008801200002 1
1.2%
1969311008801200029 1
1.2%
1970311008801200011 1
1.2%
1970311008801200013 1
1.2%
1970311008801200038 1
1.2%
1973311008801200052 1
1.2%
1975311008801200036 1
1.2%
1976311008801200008 1
1.2%
1976311008801500001 1
1.2%
ValueCountFrequency (%)
2017311012601500001 1
1.2%
2010311012601500001 1
1.2%
2009311012601500001 1
1.2%
2007311012601500001 1
1.2%
2006311011101542101 1
1.2%
2003311009901200060 1
1.2%
2003311009901200007 1
1.2%
2003311009901200002 1
1.2%
2003311009901200001 1
1.2%
1999311008801200068 1
1.2%

인허가일자
Date

Distinct72
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum1968-09-23 00:00:00
Maximum2017-02-08 00:00:00
2024-05-11T04:53:37.204618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:53:38.499381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
82 
20150706
 
1
20190422
 
1

Length

Max length8
Median length4
Mean length4.0952381
Min length4

Unique

Unique2 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 82
97.6%
20150706 1
 
1.2%
20190422 1
 
1.2%

Length

2024-05-11T04:53:39.542778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:53:40.423612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
97.6%
20150706 1
 
1.2%
20190422 1
 
1.2%

영업상태코드
Categorical

Distinct4
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
3
62 
1
19 
4
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 62
73.8%
1 19
 
22.6%
4 2
 
2.4%
2 1
 
1.2%

Length

2024-05-11T04:53:40.933450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:53:41.412275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 62
73.8%
1 19
 
22.6%
4 2
 
2.4%
2 1
 
1.2%

영업상태명
Categorical

Distinct4
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
폐업
62 
영업/정상
19 
취소/말소/만료/정지/중지
 
2
휴업
 
1

Length

Max length14
Median length2
Mean length2.9642857
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 62
73.8%
영업/정상 19
 
22.6%
취소/말소/만료/정지/중지 2
 
2.4%
휴업 1
 
1.2%

Length

2024-05-11T04:53:42.053968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:53:42.529895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 62
73.8%
영업/정상 19
 
22.6%
취소/말소/만료/정지/중지 2
 
2.4%
휴업 1
 
1.2%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8690476
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-05-11T04:53:42.972384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5.85
Maximum7
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2001984
Coefficient of variation (CV)0.41832641
Kurtosis3.5255068
Mean2.8690476
Median Absolute Deviation (MAD)0
Skewness1.0719585
Sum241
Variance1.4404762
MonotonicityNot monotonic
2024-05-11T04:53:43.360258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 62
73.8%
1 14
 
16.7%
6 3
 
3.6%
7 2
 
2.4%
2 2
 
2.4%
5 1
 
1.2%
ValueCountFrequency (%)
1 14
 
16.7%
2 2
 
2.4%
3 62
73.8%
5 1
 
1.2%
6 3
 
3.6%
7 2
 
2.4%
ValueCountFrequency (%)
7 2
 
2.4%
6 3
 
3.6%
5 1
 
1.2%
3 62
73.8%
2 2
 
2.4%
1 14
 
16.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size804.0 B
폐지
62 
신규등록
14 
휴지사업재개
 
3
영업개시
 
2
등록취소
 
2

Length

Max length6
Median length2
Mean length2.5952381
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐지 62
73.8%
신규등록 14
 
16.7%
휴지사업재개 3
 
3.6%
영업개시 2
 
2.4%
등록취소 2
 
2.4%
사업휴지 1
 
1.2%

Length

2024-05-11T04:53:43.799167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:53:44.195543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 62
73.8%
신규등록 14
 
16.7%
휴지사업재개 3
 
3.6%
영업개시 2
 
2.4%
등록취소 2
 
2.4%
사업휴지 1
 
1.2%

폐업일자
Date

MISSING 

Distinct30
Distinct (%)81.1%
Missing47
Missing (%)56.0%
Memory size804.0 B
Minimum2005-03-09 00:00:00
Maximum2023-09-12 00:00:00
2024-05-11T04:53:44.527588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:53:44.881535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

휴업시작일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing78
Missing (%)92.9%
Memory size804.0 B
Minimum2010-07-24 00:00:00
Maximum2020-06-01 00:00:00
2024-05-11T04:53:45.239302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:53:45.541700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업종료일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing78
Missing (%)92.9%
Memory size804.0 B
Minimum2010-11-30 00:00:00
Maximum2023-12-31 00:00:00
2024-05-11T04:53:45.783174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:53:45.973603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

재개업일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing80
Missing (%)95.2%
Memory size804.0 B
Minimum2011-01-24 00:00:00
Maximum2019-06-12 00:00:00
2024-05-11T04:53:46.288391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:53:46.643661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

전화번호
Text

MISSING 

Distinct76
Distinct (%)93.8%
Missing3
Missing (%)3.6%
Memory size804.0 B
2024-05-11T04:53:47.142908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.728395
Min length7

Characters and Unicode

Total characters869
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

Unique73 ?
Unique (%)90.1%

Sample

1st row02 384 6963
2nd row02 3876614
3rd row02 375 0058
4th row02 387 2231
5th row02 355 2947
ValueCountFrequency (%)
02 76
40.6%
3726135 4
 
2.1%
355 4
 
2.1%
383 3
 
1.6%
385 3
 
1.6%
373 3
 
1.6%
7426 2
 
1.1%
3855001 2
 
1.1%
386 2
 
1.1%
382 2
 
1.1%
Other values (84) 86
46.0%
2024-05-11T04:53:48.062509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
16.6%
0 123
14.2%
3 123
14.2%
2 120
13.8%
5 104
12.0%
8 55
 
6.3%
4 47
 
5.4%
1 44
 
5.1%
6 40
 
4.6%
7 37
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 725
83.4%
Space Separator 144
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 123
17.0%
3 123
17.0%
2 120
16.6%
5 104
14.3%
8 55
7.6%
4 47
 
6.5%
1 44
 
6.1%
6 40
 
5.5%
7 37
 
5.1%
9 32
 
4.4%
Space Separator
ValueCountFrequency (%)
144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 869
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
144
16.6%
0 123
14.2%
3 123
14.2%
2 120
13.8%
5 104
12.0%
8 55
 
6.3%
4 47
 
5.4%
1 44
 
5.1%
6 40
 
4.6%
7 37
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 869
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
16.6%
0 123
14.2%
3 123
14.2%
2 120
13.8%
5 104
12.0%
8 55
 
6.3%
4 47
 
5.4%
1 44
 
5.1%
6 40
 
4.6%
7 37
 
4.3%

소재지면적
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)84.6%
Missing45
Missing (%)53.6%
Infinite0
Infinite (%)0.0%
Mean936.06154
Minimum327
Maximum2684
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-05-11T04:53:48.474439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327
5-th percentile387.9
Q1562
median800
Q31131
95-th percentile1945.8
Maximum2684
Range2357
Interquartile range (IQR)569

Descriptive statistics

Standard deviation519.22562
Coefficient of variation (CV)0.55469176
Kurtosis2.4512583
Mean936.06154
Median Absolute Deviation (MAD)305
Skewness1.477259
Sum36506.4
Variance269595.25
MonotonicityNot monotonic
2024-05-11T04:53:48.907924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1131.0 4
 
4.8%
495.0 2
 
2.4%
657.0 2
 
2.4%
661.0 2
 
2.4%
1962.0 1
 
1.2%
327.0 1
 
1.2%
800.0 1
 
1.2%
707.1 1
 
1.2%
745.4 1
 
1.2%
1381.5 1
 
1.2%
Other values (23) 23
27.4%
(Missing) 45
53.6%
ValueCountFrequency (%)
327.0 1
1.2%
369.0 1
1.2%
390.0 1
1.2%
417.0 1
1.2%
422.0 1
1.2%
455.0 1
1.2%
495.0 2
2.4%
502.0 1
1.2%
509.0 1
1.2%
615.0 1
1.2%
ValueCountFrequency (%)
2684.0 1
 
1.2%
1962.0 1
 
1.2%
1944.0 1
 
1.2%
1925.0 1
 
1.2%
1643.4 1
 
1.2%
1381.5 1
 
1.2%
1207.0 1
 
1.2%
1132.0 1
 
1.2%
1131.0 4
4.8%
1057.0 1
 
1.2%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

지번주소
Text

MISSING 

Distinct80
Distinct (%)96.4%
Missing1
Missing (%)1.2%
Memory size804.0 B
2024-05-11T04:53:49.569734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length20.240964
Min length17

Characters and Unicode

Total characters1680
Distinct characters65
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

Unique79 ?
Unique (%)95.2%

Sample

1st row서울특별시 은평구 녹번동 55-9
2nd row서울특별시 은평구 녹번동 117-111
3rd row서울특별시 은평구 응암동 626-24
4th row서울특별시 은평구 불광동 328-1
5th row서울특별시 은평구 불광동 366-5
ValueCountFrequency (%)
서울특별시 82
24.4%
은평구 81
24.1%
응암동 12
 
3.6%
신사동 10
 
3.0%
불광동 9
 
2.7%
녹번동 8
 
2.4%
진관내동 7
 
2.1%
갈현동 7
 
2.1%
수색동 6
 
1.8%
증산동 6
 
1.8%
Other values (94) 108
32.1%
2024-05-11T04:53:50.838136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
321
19.1%
구 86
 
5.1%
동 83
 
4.9%
시 83
 
4.9%
울 82
 
4.9%
서 82
 
4.9%
별 82
 
4.9%
특 82
 
4.9%
은 81
 
4.8%
평 81
 
4.8%
Other values (55) 617
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 932
55.5%
Decimal Number 348
 
20.7%
Space Separator 321
 
19.1%
Dash Punctuation 79
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 86
9.2%
동 83
8.9%
시 83
8.9%
울 82
8.8%
서 82
8.8%
별 82
8.8%
특 82
8.8%
은 81
8.7%
평 81
8.7%
암 12
 
1.3%
Other values (43) 178
19.1%
Decimal Number
ValueCountFrequency (%)
1 76
21.8%
2 53
15.2%
3 40
11.5%
5 37
10.6%
4 35
10.1%
9 25
 
7.2%
6 24
 
6.9%
8 23
 
6.6%
7 22
 
6.3%
0 13
 
3.7%
Space Separator
ValueCountFrequency (%)
321
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 932
55.5%
Common 748
44.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 86
9.2%
동 83
8.9%
시 83
8.9%
울 82
8.8%
서 82
8.8%
별 82
8.8%
특 82
8.8%
은 81
8.7%
평 81
8.7%
암 12
 
1.3%
Other values (43) 178
19.1%
Common
ValueCountFrequency (%)
321
42.9%
- 79
 
10.6%
1 76
 
10.2%
2 53
 
7.1%
3 40
 
5.3%
5 37
 
4.9%
4 35
 
4.7%
9 25
 
3.3%
6 24
 
3.2%
8 23
 
3.1%
Other values (2) 35
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 932
55.5%
ASCII 748
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
321
42.9%
- 79
 
10.6%
1 76
 
10.2%
2 53
 
7.1%
3 40
 
5.3%
5 37
 
4.9%
4 35
 
4.7%
9 25
 
3.3%
6 24
 
3.2%
8 23
 
3.1%
Other values (2) 35
 
4.7%
Hangul
ValueCountFrequency (%)
구 86
9.2%
동 83
8.9%
시 83
8.9%
울 82
8.8%
서 82
8.8%
별 82
8.8%
특 82
8.8%
은 81
8.7%
평 81
8.7%
암 12
 
1.3%
Other values (43) 178
19.1%

도로명주소
Text

MISSING 

Distinct66
Distinct (%)94.3%
Missing14
Missing (%)16.7%
Memory size804.0 B
2024-05-11T04:53:51.700516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length29
Mean length24.242857
Min length22

Characters and Unicode

Total characters1697
Distinct characters78
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

Unique64 ?
Unique (%)91.4%

Sample

1st row서울특별시 은평구 통일로 606 (녹번동)
2nd row서울특별시 은평구 진흥로 196 (녹번동)
3rd row서울특별시 은평구 응암로20길 35-14 (응암동)
4th row서울특별시 은평구 연서로32길 19 (불광동)
5th row서울특별시 은평구 연서로33길 3-1 (불광동)
ValueCountFrequency (%)
서울특별시 69
19.6%
은평구 68
19.3%
통일로 10
 
2.8%
응암동 10
 
2.8%
수색로 9
 
2.6%
신사동 9
 
2.6%
녹번동 8
 
2.3%
불광동 8
 
2.3%
갈현로 7
 
2.0%
갈현동 7
 
2.0%
Other values (101) 147
41.8%
2024-05-11T04:53:53.051137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
305
18.0%
서 85
 
5.0%
은 73
 
4.3%
평 73
 
4.3%
구 72
 
4.2%
( 70
 
4.1%
시 70
 
4.1%
) 70
 
4.1%
로 70
 
4.1%
동 70
 
4.1%
Other values (68) 739
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1017
59.9%
Space Separator 305
 
18.0%
Decimal Number 225
 
13.3%
Open Punctuation 70
 
4.1%
Close Punctuation 70
 
4.1%
Dash Punctuation 8
 
0.5%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 85
 
8.4%
은 73
 
7.2%
평 73
 
7.2%
구 72
 
7.1%
시 70
 
6.9%
로 70
 
6.9%
동 70
 
6.9%
특 69
 
6.8%
별 69
 
6.8%
울 69
 
6.8%
Other values (53) 297
29.2%
Decimal Number
ValueCountFrequency (%)
1 50
22.2%
2 29
12.9%
4 26
11.6%
3 25
11.1%
9 23
10.2%
6 19
 
8.4%
0 15
 
6.7%
8 13
 
5.8%
7 13
 
5.8%
5 12
 
5.3%
Space Separator
ValueCountFrequency (%)
305
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1017
59.9%
Common 680
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 85
 
8.4%
은 73
 
7.2%
평 73
 
7.2%
구 72
 
7.1%
시 70
 
6.9%
로 70
 
6.9%
동 70
 
6.9%
특 69
 
6.8%
별 69
 
6.8%
울 69
 
6.8%
Other values (53) 297
29.2%
Common
ValueCountFrequency (%)
305
44.9%
( 70
 
10.3%
) 70
 
10.3%
1 50
 
7.4%
2 29
 
4.3%
4 26
 
3.8%
3 25
 
3.7%
9 23
 
3.4%
6 19
 
2.8%
0 15
 
2.2%
Other values (5) 48
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1017
59.9%
ASCII 680
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
305
44.9%
( 70
 
10.3%
) 70
 
10.3%
1 50
 
7.4%
2 29
 
4.3%
4 26
 
3.8%
3 25
 
3.7%
9 23
 
3.4%
6 19
 
2.8%
0 15
 
2.2%
Other values (5) 48
 
7.1%
Hangul
ValueCountFrequency (%)
서 85
 
8.4%
은 73
 
7.2%
평 73
 
7.2%
구 72
 
7.1%
시 70
 
6.9%
로 70
 
6.9%
동 70
 
6.9%
특 69
 
6.8%
별 69
 
6.8%
울 69
 
6.8%
Other values (53) 297
29.2%

도로명우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
83 
3372
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 83
98.8%
3372 1
 
1.2%

Length

2024-05-11T04:53:53.511035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:53:53.827732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
98.8%
3372 1
 
1.2%

사업장명
Text

Distinct78
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size804.0 B
2024-05-11T04:53:54.342966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.4404762
Min length4

Characters and Unicode

Total characters541
Distinct characters121
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)86.9%

Sample

1st row서부석유
2nd row황해석유
3rd row은형석유
4th row경남석유
5th row고려석유
ValueCountFrequency (%)
삼표수색 3
 
3.1%
응암주유소 2
 
2.1%
동일에너지 2
 
2.1%
형제석유 2
 
2.1%
주식회사 2
 
2.1%
부흥에너지 2
 
2.1%
서울석유(주 2
 
2.1%
주)연서이엔에쓰 1
 
1.0%
서부석유 1
 
1.0%
갈현주유소 1
 
1.0%
Other values (79) 79
81.4%
2024-05-11T04:53:55.662048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 66
 
12.2%
주 52
 
9.6%
소 36
 
6.7%
석 27
 
5.0%
에 21
 
3.9%
지 21
 
3.9%
너 14
 
2.6%
13
 
2.4%
) 13
 
2.4%
( 13
 
2.4%
Other values (111) 265
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 497
91.9%
Space Separator 13
 
2.4%
Close Punctuation 13
 
2.4%
Open Punctuation 13
 
2.4%
Uppercase Letter 4
 
0.7%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 66
 
13.3%
주 52
 
10.5%
소 36
 
7.2%
석 27
 
5.4%
에 21
 
4.2%
지 21
 
4.2%
너 14
 
2.8%
스 12
 
2.4%
일 11
 
2.2%
동 9
 
1.8%
Other values (104) 228
45.9%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
E 1
25.0%
G 1
25.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 497
91.9%
Common 40
 
7.4%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 66
 
13.3%
주 52
 
10.5%
소 36
 
7.2%
석 27
 
5.4%
에 21
 
4.2%
지 21
 
4.2%
너 14
 
2.8%
스 12
 
2.4%
일 11
 
2.2%
동 9
 
1.8%
Other values (104) 228
45.9%
Common
ValueCountFrequency (%)
13
32.5%
) 13
32.5%
( 13
32.5%
& 1
 
2.5%
Latin
ValueCountFrequency (%)
S 2
50.0%
E 1
25.0%
G 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 497
91.9%
ASCII 44
 
8.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 66
 
13.3%
주 52
 
10.5%
소 36
 
7.2%
석 27
 
5.4%
에 21
 
4.2%
지 21
 
4.2%
너 14
 
2.8%
스 12
 
2.4%
일 11
 
2.2%
동 9
 
1.8%
Other values (104) 228
45.9%
ASCII
ValueCountFrequency (%)
13
29.5%
) 13
29.5%
( 13
29.5%
S 2
 
4.5%
E 1
 
2.3%
& 1
 
2.3%
G 1
 
2.3%

최종수정일자
Date

Distinct73
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum2002-09-03 00:00:00
Maximum2024-03-22 12:28:13
2024-05-11T04:53:56.144844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:53:56.760364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
I
61 
U
23 

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 61
72.6%
U 23
 
27.4%

Length

2024-05-11T04:53:57.404713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:53:57.860165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 61
72.6%
u 23
 
27.4%

데이터갱신일자
Categorical

IMBALANCE 

Distinct11
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size804.0 B
2018-08-31 23:59:59.0
61 
2022-10-30 22:07:00.0
12 
2023-12-02 22:04:00.0
 
3
2022-12-08 23:04:00.0
 
1
2023-11-30 23:01:00.0
 
1
Other values (6)
 
6

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique8 ?
Unique (%)9.5%

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 61
72.6%
2022-10-30 22:07:00.0 12
 
14.3%
2023-12-02 22:04:00.0 3
 
3.6%
2022-12-08 23:04:00.0 1
 
1.2%
2023-11-30 23:01:00.0 1
 
1.2%
2020-11-28 02:40:00.0 1
 
1.2%
2019-04-12 02:40:00.0 1
 
1.2%
2021-12-08 23:06:00.0 1
 
1.2%
2019-05-05 02:40:00.0 1
 
1.2%
2021-01-07 02:40:00.0 1
 
1.2%

Length

2024-05-11T04:53:58.277733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 61
36.3%
23:59:59.0 61
36.3%
2022-10-30 12
 
7.1%
22:07:00.0 12
 
7.1%
02:40:00.0 5
 
3.0%
2023-12-02 3
 
1.8%
22:04:00.0 3
 
1.8%
2019-04-12 1
 
0.6%
2021-01-07 1
 
0.6%
2019-05-05 1
 
0.6%
Other values (8) 8
 
4.8%

업태구분명
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
주유소
44 
일반판매소
40 

Length

Max length5
Median length3
Mean length3.952381
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주유소 44
52.4%
일반판매소 40
47.6%

Length

2024-05-11T04:53:58.757292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:53:59.309334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 44
52.4%
일반판매소 40
47.6%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)95.6%
Missing16
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean192725.54
Minimum189997.52
Maximum208692.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-05-11T04:53:59.911517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189997.52
5-th percentile190718.3
Q1191934.62
median192502.99
Q3193239.71
95-th percentile194256.49
Maximum208692.78
Range18695.259
Interquartile range (IQR)1305.0924

Descriptive statistics

Standard deviation2218.0441
Coefficient of variation (CV)0.011508823
Kurtosis40.873455
Mean192725.54
Median Absolute Deviation (MAD)678.85275
Skewness5.6245357
Sum13105337
Variance4919719.7
MonotonicityNot monotonic
2024-05-11T04:54:00.597048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191228.43530972 4
 
4.8%
192830.222863779 1
 
1.2%
192840.697700649 1
 
1.2%
192136.749691783 1
 
1.2%
193565.328017192 1
 
1.2%
192379.358456908 1
 
1.2%
192244.493359472 1
 
1.2%
190321.180293801 1
 
1.2%
192930.982080158 1
 
1.2%
193930.707919201 1
 
1.2%
Other values (55) 55
65.5%
(Missing) 16
 
19.0%
ValueCountFrequency (%)
189997.518475283 1
 
1.2%
190047.240096367 1
 
1.2%
190321.180293801 1
 
1.2%
190656.841359581 1
 
1.2%
190832.436789018 1
 
1.2%
190894.797096724 1
 
1.2%
190932.82036614 1
 
1.2%
191228.43530972 4
4.8%
191274.744550127 1
 
1.2%
191621.368791388 1
 
1.2%
ValueCountFrequency (%)
208692.777244976 1
1.2%
194308.285680452 1
1.2%
194308.278385233 1
1.2%
194279.733222003 1
1.2%
194213.321386135 1
1.2%
193930.707919201 1
1.2%
193858.186307928 1
1.2%
193818.672759638 1
1.2%
193785.583257988 1
1.2%
193684.982626349 1
1.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)95.6%
Missing16
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean455543.49
Minimum452910.08
Maximum458550.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-05-11T04:54:01.439909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452910.08
5-th percentile452979.04
Q1454259.12
median455432.77
Q3457040.09
95-th percentile458030.06
Maximum458550.57
Range5640.4931
Interquartile range (IQR)2780.9634

Descriptive statistics

Standard deviation1626.1398
Coefficient of variation (CV)0.0035696697
Kurtosis-1.0952519
Mean455543.49
Median Absolute Deviation (MAD)1394.6102
Skewness0.08493858
Sum30976957
Variance2644330.5
MonotonicityNot monotonic
2024-05-11T04:54:02.154656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452979.040751407 4
 
4.8%
458550.572564312 1
 
1.2%
457207.653147522 1
 
1.2%
456592.369175951 1
 
1.2%
457884.061589947 1
 
1.2%
454817.316199086 1
 
1.2%
454215.329144056 1
 
1.2%
453524.39376453 1
 
1.2%
456329.515522871 1
 
1.2%
457489.780069315 1
 
1.2%
Other values (55) 55
65.5%
(Missing) 16
 
19.0%
ValueCountFrequency (%)
452910.079476527 1
 
1.2%
452979.040751407 4
4.8%
453204.452946997 1
 
1.2%
453243.714746405 1
 
1.2%
453340.011963958 1
 
1.2%
453507.994384645 1
 
1.2%
453524.39376453 1
 
1.2%
453557.472194429 1
 
1.2%
453830.420282827 1
 
1.2%
453879.981354996 1
 
1.2%
ValueCountFrequency (%)
458550.572564312 1
1.2%
458415.693340704 1
1.2%
458338.073870238 1
1.2%
458108.670512967 1
1.2%
457884.061589947 1
1.2%
457806.746448487 1
1.2%
457744.349223725 1
1.2%
457690.018361344 1
1.2%
457638.979493811 1
1.2%
457633.479606825 1
1.2%

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

거래처
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing84
Missing (%)100.0%
Memory size888.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
03110000196831100880120000119681121<NA>3폐업3폐지<NA><NA><NA><NA>02 384 6963<NA><NA>서울특별시 은평구 녹번동 55-9서울특별시 은평구 통일로 606 (녹번동)<NA>서부석유2005-07-01 00:00:00I2018-08-31 23:59:59.0일반판매소194279.733222455413.62873<NA><NA>
13110000196831100880120000219680923<NA>3폐업3폐지20130418<NA><NA><NA>02 3876614<NA><NA>서울특별시 은평구 녹번동 117-111서울특별시 은평구 진흥로 196 (녹번동)<NA>황해석유2013-05-09 15:24:00I2018-08-31 23:59:59.0일반판매소193858.186308456241.208802<NA><NA>
23110000196931100880120002920030625<NA>3폐업3폐지<NA><NA><NA><NA>02 375 0058<NA><NA>서울특별시 은평구 응암동 626-24서울특별시 은평구 응암로20길 35-14 (응암동)<NA>은형석유2004-01-19 00:00:00I2018-08-31 23:59:59.0일반판매소193073.671905454527.74902<NA><NA>
33110000197031100880120001119701203<NA>3폐업3폐지<NA><NA><NA><NA>02 387 2231<NA><NA>서울특별시 은평구 불광동 328-1서울특별시 은평구 연서로32길 19 (불광동)<NA>경남석유2005-06-14 00:00:00I2018-08-31 23:59:59.0일반판매소193257.493502457395.676818<NA><NA>
43110000197031100880120001319701027<NA>3폐업3폐지<NA><NA><NA><NA>02 355 2947<NA><NA>서울특별시 은평구 불광동 366-5서울특별시 은평구 연서로33길 3-1 (불광동)<NA>고려석유2002-09-03 00:00:00I2018-08-31 23:59:59.0일반판매소193268.571497457638.979494<NA><NA>
53110000197031100880120003819700710<NA>3폐업3폐지<NA><NA><NA><NA>02 352 3246<NA><NA>서울특별시 은평구 역촌동 64-53서울특별시 은평구 연서로3가길 15-10 (역촌동)<NA>삼호에너지2005-07-01 00:00:00I2018-08-31 23:59:59.0일반판매소192344.712167455708.076388<NA><NA>
63110000197331100880120005219731001<NA>3폐업3폐지20080616<NA><NA><NA>02 355 9888<NA><NA>서울특별시 은평구 진관외동 175-434<NA><NA>새마을석유2008-06-17 09:11:34I2018-08-31 23:59:59.0일반판매소<NA><NA><NA><NA>
73110000197531100880120003619750226<NA>3폐업3폐지<NA><NA><NA><NA>02 373 4466<NA><NA>서울특별시 은평구 역촌동 13-25서울특별시 은평구 역말로7길 10 (역촌동)<NA>미륭석유주2007-06-29 00:00:00I2018-08-31 23:59:59.0일반판매소192705.727837456086.030643<NA><NA>
83110000197631100880120000820020517<NA>3폐업3폐지20180702<NA><NA><NA>02 3591529<NA><NA>서울특별시 은평구 불광동 281-59서울특별시 은평구 불광로 46 (불광동)<NA>한불에너지2018-07-02 17:18:21I2018-08-31 23:59:59.0일반판매소193818.67276456556.770343<NA><NA>
9311000019763110088015000011976-05-27<NA>3폐업3폐지2023-09-12<NA><NA><NA>02 3855001657.0<NA>서울특별시 은평구 녹번동 59-1서울특별시 은평구 통일로 600 (녹번동)<NA>지에스칼텍스(주)녹번주유소2023-09-12 16:59:07U2022-12-08 23:04:00.0주유소194308.278385455358.024937<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
743110000199931100880120006819990918<NA>3폐업3폐지<NA><NA><NA><NA>02 359 4315<NA><NA>서울특별시 은평구 신사동 169-2서울특별시 은평구 증산로17길 55 (신사동)<NA>은평이동판매2002-09-03 00:00:00I2018-08-31 23:59:59.0일반판매소191731.392847454374.034648<NA><NA>
753110000200331100990120000120030715<NA>3폐업3폐지<NA><NA><NA><NA>02 383 7426<NA><NA>서울특별시 은평구 진관내동 319-2 21통1반<NA><NA>동일에너지2007-06-29 00:00:00I2018-08-31 23:59:59.0일반판매소<NA><NA><NA><NA>
763110000200331100990120000220061012<NA>3폐업3폐지20220913<NA><NA><NA>02353 0015<NA><NA>서울특별시 은평구 신사동 14-3서울특별시 은평구 갈현로1길 6-16 (신사동)<NA>한솔에너지2022-09-14 13:29:43U2021-12-08 23:06:00.0일반판매소191934.217107455300.492718<NA><NA>
773110000200331100990120000720060817<NA>3폐업3폐지20141110<NA><NA><NA><NA><NA><NA>서울특별시 은평구 신사동 237-416서울특별시 은평구 은평터널로9길 18 (신사동)<NA>대양석유2015-10-13 11:30:46I2018-08-31 23:59:59.0일반판매소191632.570342454660.30196<NA><NA>
783110000200331100990120006020030715<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 383 7426<NA><NA>서울특별시 은평구 응암동 101-78서울특별시 은평구 응암로34길 17 (응암동)<NA>동일에너지2019-05-03 11:24:49U2019-05-05 02:40:00.0일반판매소193129.908974455059.151<NA><NA>
793110000200631101110154210119760527201904224취소/말소/만료/정지/중지2등록취소<NA><NA><NA><NA>02 3855001657.0<NA>서울특별시 은평구 녹번동 59-1서울특별시 은평구 통일로 600 (녹번동)<NA>지에스칼텍스(주) 직영점2021-01-05 15:49:30U2021-01-07 02:40:00.0주유소194308.28568455358.018758<NA><NA>
803110000200731101260150000120070905<NA>3폐업3폐지20200123<NA><NA><NA>37357511381.5<NA>서울특별시 은평구 신사동 338-4서울특별시 은평구 증산로 371 (신사동)<NA>(주)에스지2020-01-23 16:35:22U2020-01-25 02:40:00.0주유소192235.574387454134.845981<NA><NA>
81311000020093110126015000012009-10-01<NA>1영업/정상1신규등록<NA><NA><NA><NA>3524451745.4<NA>서울특별시 은평구 진관동 240-27서울특별시 은평구 통일로 968 (진관동)<NA>성원E&S은평지점2023-10-25 17:46:05U2022-10-30 22:07:00.0주유소192830.222864458550.572564<NA><NA>
82311000020103110126015000012010-05-31<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 354 5182707.1<NA>서울특별시 은평구 진관동 73-22서울특별시 은평구 통일로 1151 (진관동)<NA>주식회사 디오티디 은평유니콘주유소2023-10-25 17:44:38U2022-10-30 22:07:00.0주유소<NA><NA><NA><NA>
83311000020173110126015000012017-02-08<NA>1영업/정상7영업개시<NA><NA><NA><NA><NA>800.0<NA><NA>서울특별시 은평구 통일로 1031 (진관동)<NA>뉴타운 셀프주유소2023-10-25 17:51:45U2022-10-30 22:07:00.0주유소<NA><NA><NA><NA>