Overview

Dataset statistics

Number of variables27
Number of observations96
Missing cells797
Missing cells (%)30.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.5 KiB
Average record size in memory229.4 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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-19067/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (91.6%)Imbalance
폐업일자 has 62 (64.6%) missing valuesMissing
휴업시작일자 has 87 (90.6%) missing valuesMissing
휴업종료일자 has 87 (90.6%) missing valuesMissing
재개업일자 has 90 (93.8%) missing valuesMissing
전화번호 has 14 (14.6%) missing valuesMissing
소재지면적 has 57 (59.4%) missing valuesMissing
소재지우편번호 has 96 (100.0%) missing valuesMissing
지번주소 has 1 (1.0%) missing valuesMissing
도로명주소 has 11 (11.5%) missing valuesMissing
도로명우편번호 has 80 (83.3%) missing valuesMissing
좌표정보(X) has 10 (10.4%) missing valuesMissing
좌표정보(Y) has 10 (10.4%) missing valuesMissing
자본금 has 96 (100.0%) missing valuesMissing
거래처 has 96 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 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 started2024-05-10 23:37:28.765775
Analysis finished2024-05-10 23:37:29.597135
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
3150000
96 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 96
100.0%

Length

2024-05-10T23:37:29.781002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:37:30.044635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 96
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9805233 × 1018
Minimum9.2315015 × 1016
Maximum2.022315 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-10T23:37:30.291901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.2315015 × 1016
5-th percentile1.976315 × 1018
Q11.993315 × 1018
median2.001815 × 1018
Q32.007315 × 1018
95-th percentile2.017315 × 1018
Maximum2.022315 × 1018
Range1.93 × 1018
Interquartile range (IQR)1.3999996 × 1016

Descriptive statistics

Standard deviation1.9504434 × 1017
Coefficient of variation (CV)0.09848121
Kurtosis95.389282
Mean1.9805233 × 1018
Median Absolute Deviation (MAD)6.5000026 × 1015
Skewness-9.7517118
Sum5.6628003 × 1018
Variance3.8042293 × 1034
MonotonicityStrictly increasing
2024-05-10T23:37:30.603181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92315015101200002 1
 
1.0%
2002315007401224100 1
 
1.0%
2007315010001509417 1
 
1.0%
2007315010001509314 1
 
1.0%
2007315010001500001 1
 
1.0%
2007315010001200001 1
 
1.0%
2006315010001500003 1
 
1.0%
2006315010001500002 1
 
1.0%
2006315010001500001 1
 
1.0%
2006315010001200964 1
 
1.0%
Other values (86) 86
89.6%
ValueCountFrequency (%)
92315015101200002 1
1.0%
1976315010001500012 1
1.0%
1976315010001500013 1
1.0%
1976315010001500015 1
1.0%
1976315014501500164 1
1.0%
1976315015101500527 1
1.0%
1981315010001200001 1
1.0%
1983315007401200001 1
1.0%
1983315007401500001 1
1.0%
1983315007401500002 1
1.0%
ValueCountFrequency (%)
2022315020401500001 1
1.0%
2021315020401500002 1
1.0%
2021315020401500001 1
1.0%
2020315020401500001 1
1.0%
2017315015101500003 1
1.0%
2017315015101500002 1
1.0%
2017315015101500001 1
1.0%
2017315015101200001 1
1.0%
2014315015101500002 1
1.0%
2014315015101500001 1
1.0%

인허가일자
Date

Distinct85
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size900.0 B
Minimum1976-04-29 00:00:00
Maximum2022-11-15 00:00:00
2024-05-10T23:37:30.962329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:37:31.390297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
<NA>
95 
20221107
 
1

Length

Max length8
Median length4
Mean length4.0416667
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 95
99.0%
20221107 1
 
1.0%

Length

2024-05-10T23:37:31.840984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:37:32.156803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
99.0%
20221107 1
 
1.0%

영업상태코드
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
1
48 
3
46 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 48
50.0%
3 46
47.9%
4 2
 
2.1%

Length

2024-05-10T23:37:32.439264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:37:32.700839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 48
50.0%
3 46
47.9%
4 2
 
2.1%

영업상태명
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
영업/정상
48 
폐업
46 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length9.5
Mean length3.75
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 48
50.0%
폐업 46
47.9%
취소/말소/만료/정지/중지 2
 
2.1%

Length

2024-05-10T23:37:33.053928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:37:33.375325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 48
50.0%
폐업 46
47.9%
취소/말소/만료/정지/중지 2
 
2.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
3
46 
1
31 
7
12 
6
5 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 46
47.9%
1 31
32.3%
7 12
 
12.5%
6 5
 
5.2%
2 2
 
2.1%

Length

2024-05-10T23:37:33.727446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:37:34.037461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 46
47.9%
1 31
32.3%
7 12
 
12.5%
6 5
 
5.2%
2 2
 
2.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
폐지
46 
신규등록
31 
영업개시
12 
휴지사업재개
5 
등록취소
 
2

Length

Max length6
Median length4
Mean length3.1458333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐지 46
47.9%
신규등록 31
32.3%
영업개시 12
 
12.5%
휴지사업재개 5
 
5.2%
등록취소 2
 
2.1%

Length

2024-05-10T23:37:34.276302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:37:34.477734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 46
47.9%
신규등록 31
32.3%
영업개시 12
 
12.5%
휴지사업재개 5
 
5.2%
등록취소 2
 
2.1%

폐업일자
Date

MISSING 

Distinct27
Distinct (%)79.4%
Missing62
Missing (%)64.6%
Memory size900.0 B
Minimum2005-06-24 00:00:00
Maximum2023-03-31 00:00:00
2024-05-10T23:37:34.743582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:37:35.459544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

휴업시작일자
Date

MISSING 

Distinct9
Distinct (%)100.0%
Missing87
Missing (%)90.6%
Memory size900.0 B
Minimum2007-11-01 00:00:00
Maximum2015-01-01 00:00:00
2024-05-10T23:37:35.834247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:37:36.191366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

휴업종료일자
Date

MISSING 

Distinct9
Distinct (%)100.0%
Missing87
Missing (%)90.6%
Memory size900.0 B
Minimum2007-12-15 00:00:00
Maximum2015-04-15 00:00:00
2024-05-10T23:37:36.524050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:37:36.910791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

재개업일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing90
Missing (%)93.8%
Memory size900.0 B
Minimum2008-06-26 00:00:00
Maximum2013-07-24 00:00:00
2024-05-10T23:37:37.312449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:37:37.672616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

전화번호
Text

MISSING 

Distinct73
Distinct (%)89.0%
Missing14
Missing (%)14.6%
Memory size900.0 B
2024-05-10T23:37:38.190751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.04878
Min length4

Characters and Unicode

Total characters824
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

Unique66 ?
Unique (%)80.5%

Sample

1st row36615800
2nd row0226615555
3rd row0226620503
4th row0226620554
5th row36640547
ValueCountFrequency (%)
02 19
 
17.4%
0226953214 3
 
2.8%
26606432 3
 
2.8%
26006279 2
 
1.8%
0606 2
 
1.8%
0226647451 2
 
1.8%
02665 2
 
1.8%
0226655189 2
 
1.8%
26627837 2
 
1.8%
0236655177 2
 
1.8%
Other values (70) 70
64.2%
2024-05-10T23:37:39.191748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 150
18.2%
6 149
18.1%
0 125
15.2%
1 72
8.7%
5 68
8.3%
4 62
7.5%
3 48
 
5.8%
7 47
 
5.7%
42
 
5.1%
9 32
 
3.9%
Other values (2) 29
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 779
94.5%
Space Separator 42
 
5.1%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 150
19.3%
6 149
19.1%
0 125
16.0%
1 72
9.2%
5 68
8.7%
4 62
8.0%
3 48
 
6.2%
7 47
 
6.0%
9 32
 
4.1%
8 26
 
3.3%
Space Separator
ValueCountFrequency (%)
42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 824
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 150
18.2%
6 149
18.1%
0 125
15.2%
1 72
8.7%
5 68
8.3%
4 62
7.5%
3 48
 
5.8%
7 47
 
5.7%
42
 
5.1%
9 32
 
3.9%
Other values (2) 29
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 150
18.2%
6 149
18.1%
0 125
15.2%
1 72
8.7%
5 68
8.3%
4 62
7.5%
3 48
 
5.8%
7 47
 
5.7%
42
 
5.1%
9 32
 
3.9%
Other values (2) 29
 
3.5%

소재지면적
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)79.5%
Missing57
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean795.45513
Minimum100
Maximum2276.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-10T23:37:39.442634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile195.1
Q1500
median646
Q3990
95-th percentile1631.2
Maximum2276.3
Range2176.3
Interquartile range (IQR)490

Descriptive statistics

Standard deviation483.21486
Coefficient of variation (CV)0.60746967
Kurtosis1.0876208
Mean795.45513
Median Absolute Deviation (MAD)155.1
Skewness1.111308
Sum31022.75
Variance233496.61
MonotonicityNot monotonic
2024-05-10T23:37:39.674898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
500.0 6
 
6.2%
800.0 2
 
2.1%
1500.0 2
 
2.1%
631.0 2
 
2.1%
1169.0 1
 
1.0%
799.8 1
 
1.0%
801.1 1
 
1.0%
265.0 1
 
1.0%
1678.0 1
 
1.0%
1492.0 1
 
1.0%
Other values (21) 21
 
21.9%
(Missing) 57
59.4%
ValueCountFrequency (%)
100.0 1
 
1.0%
151.0 1
 
1.0%
200.0 1
 
1.0%
265.0 1
 
1.0%
274.1 1
 
1.0%
365.0 1
 
1.0%
433.7 1
 
1.0%
500.0 6
6.2%
542.0 1
 
1.0%
544.85 1
 
1.0%
ValueCountFrequency (%)
2276.3 1
1.0%
1678.0 1
1.0%
1626.0 1
1.0%
1500.0 2
2.1%
1492.0 1
1.0%
1490.0 1
1.0%
1169.0 1
1.0%
1080.0 1
1.0%
1000.0 1
1.0%
980.0 1
1.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

지번주소
Text

MISSING 

Distinct89
Distinct (%)93.7%
Missing1
Missing (%)1.0%
Memory size900.0 B
2024-05-10T23:37:40.198355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length22.336842
Min length13

Characters and Unicode

Total characters2122
Distinct characters110
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)87.4%

Sample

1st row서울특별시 강서구 방화동 281-38
2nd row서울특별시 강서구 방화동 488-1
3rd row서울특별시 강서구 방화동 609-59
4th row서울특별시 강서구 공항동 7-5
5th row서울특별시 강서구 염창동 274-18
ValueCountFrequency (%)
서울특별시 94
22.5%
강서구 92
22.1%
화곡동 19
 
4.6%
공항동 13
 
3.1%
방화동 12
 
2.9%
등촌동 9
 
2.2%
가양동 9
 
2.2%
마곡동 7
 
1.7%
염창동 7
 
1.7%
내발산동 5
 
1.2%
Other values (127) 150
36.0%
2024-05-10T23:37:41.046227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
375
17.7%
서 187
 
8.8%
동 98
 
4.6%
시 95
 
4.5%
구 95
 
4.5%
특 94
 
4.4%
별 94
 
4.4%
강 94
 
4.4%
울 94
 
4.4%
- 89
 
4.2%
Other values (100) 807
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1166
54.9%
Decimal Number 471
22.2%
Space Separator 375
 
17.7%
Dash Punctuation 89
 
4.2%
Uppercase Letter 11
 
0.5%
Other Punctuation 8
 
0.4%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 187
16.0%
동 98
 
8.4%
시 95
 
8.1%
구 95
 
8.1%
특 94
 
8.1%
별 94
 
8.1%
강 94
 
8.1%
울 94
 
8.1%
화 37
 
3.2%
곡 30
 
2.6%
Other values (78) 248
21.3%
Decimal Number
ValueCountFrequency (%)
1 88
18.7%
2 68
14.4%
3 52
11.0%
6 46
9.8%
5 44
9.3%
4 43
9.1%
8 43
9.1%
0 37
7.9%
7 34
 
7.2%
9 16
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
A 3
27.3%
G 2
18.2%
S 2
18.2%
L 1
 
9.1%
B 1
 
9.1%
C 1
 
9.1%
P 1
 
9.1%
Space Separator
ValueCountFrequency (%)
375
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1166
54.9%
Common 945
44.5%
Latin 11
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 187
16.0%
동 98
 
8.4%
시 95
 
8.1%
구 95
 
8.1%
특 94
 
8.1%
별 94
 
8.1%
강 94
 
8.1%
울 94
 
8.1%
화 37
 
3.2%
곡 30
 
2.6%
Other values (78) 248
21.3%
Common
ValueCountFrequency (%)
375
39.7%
- 89
 
9.4%
1 88
 
9.3%
2 68
 
7.2%
3 52
 
5.5%
6 46
 
4.9%
5 44
 
4.7%
4 43
 
4.6%
8 43
 
4.6%
0 37
 
3.9%
Other values (5) 60
 
6.3%
Latin
ValueCountFrequency (%)
A 3
27.3%
G 2
18.2%
S 2
18.2%
L 1
 
9.1%
B 1
 
9.1%
C 1
 
9.1%
P 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1166
54.9%
ASCII 956
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
375
39.2%
- 89
 
9.3%
1 88
 
9.2%
2 68
 
7.1%
3 52
 
5.4%
6 46
 
4.8%
5 44
 
4.6%
4 43
 
4.5%
8 43
 
4.5%
0 37
 
3.9%
Other values (12) 71
 
7.4%
Hangul
ValueCountFrequency (%)
서 187
16.0%
동 98
 
8.4%
시 95
 
8.1%
구 95
 
8.1%
특 94
 
8.1%
별 94
 
8.1%
강 94
 
8.1%
울 94
 
8.1%
화 37
 
3.2%
곡 30
 
2.6%
Other values (78) 248
21.3%

도로명주소
Text

MISSING 

Distinct75
Distinct (%)88.2%
Missing11
Missing (%)11.5%
Memory size900.0 B
2024-05-10T23:37:41.657705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length39
Mean length25.447059
Min length22

Characters and Unicode

Total characters2163
Distinct characters110
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)76.5%

Sample

1st row서울특별시 강서구 양천로24길 28 (방화동)
2nd row서울특별시 강서구 양천로 57 (방화동)
3rd row서울특별시 강서구 방화동로 58-2 (방화동)
4th row서울특별시 강서구 공항대로 533 (염창동)
5th row서울특별시 강서구 공항대로 432 (화곡동)
ValueCountFrequency (%)
서울특별시 84
19.3%
강서구 84
19.3%
화곡동 17
 
3.9%
양천로 15
 
3.4%
방화동 12
 
2.8%
강서로 10
 
2.3%
등촌동 9
 
2.1%
공항동 9
 
2.1%
가양동 8
 
1.8%
염창동 7
 
1.6%
Other values (116) 181
41.5%
2024-05-10T23:37:42.709986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
371
17.2%
서 179
 
8.3%
강 95
 
4.4%
동 91
 
4.2%
( 86
 
4.0%
시 86
 
4.0%
) 86
 
4.0%
구 85
 
3.9%
특 84
 
3.9%
별 84
 
3.9%
Other values (100) 916
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1306
60.4%
Space Separator 371
 
17.2%
Decimal Number 280
 
12.9%
Open Punctuation 86
 
4.0%
Close Punctuation 86
 
4.0%
Other Punctuation 12
 
0.6%
Dash Punctuation 11
 
0.5%
Uppercase Letter 11
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 179
13.7%
강 95
 
7.3%
동 91
 
7.0%
시 86
 
6.6%
구 85
 
6.5%
특 84
 
6.4%
별 84
 
6.4%
울 84
 
6.4%
로 78
 
6.0%
화 50
 
3.8%
Other values (78) 390
29.9%
Decimal Number
ValueCountFrequency (%)
1 51
18.2%
2 46
16.4%
5 36
12.9%
4 29
10.4%
7 25
8.9%
0 22
7.9%
3 21
7.5%
8 18
 
6.4%
9 17
 
6.1%
6 15
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
A 3
27.3%
S 2
18.2%
G 2
18.2%
B 1
 
9.1%
P 1
 
9.1%
C 1
 
9.1%
L 1
 
9.1%
Space Separator
ValueCountFrequency (%)
371
100.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1306
60.4%
Common 846
39.1%
Latin 11
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 179
13.7%
강 95
 
7.3%
동 91
 
7.0%
시 86
 
6.6%
구 85
 
6.5%
특 84
 
6.4%
별 84
 
6.4%
울 84
 
6.4%
로 78
 
6.0%
화 50
 
3.8%
Other values (78) 390
29.9%
Common
ValueCountFrequency (%)
371
43.9%
( 86
 
10.2%
) 86
 
10.2%
1 51
 
6.0%
2 46
 
5.4%
5 36
 
4.3%
4 29
 
3.4%
7 25
 
3.0%
0 22
 
2.6%
3 21
 
2.5%
Other values (5) 73
 
8.6%
Latin
ValueCountFrequency (%)
A 3
27.3%
S 2
18.2%
G 2
18.2%
B 1
 
9.1%
P 1
 
9.1%
C 1
 
9.1%
L 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1306
60.4%
ASCII 857
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
371
43.3%
( 86
 
10.0%
) 86
 
10.0%
1 51
 
6.0%
2 46
 
5.4%
5 36
 
4.2%
4 29
 
3.4%
7 25
 
2.9%
0 22
 
2.6%
3 21
 
2.5%
Other values (12) 84
 
9.8%
Hangul
ValueCountFrequency (%)
서 179
13.7%
강 95
 
7.3%
동 91
 
7.0%
시 86
 
6.6%
구 85
 
6.5%
특 84
 
6.4%
별 84
 
6.4%
울 84
 
6.4%
로 78
 
6.0%
화 50
 
3.8%
Other values (78) 390
29.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing80
Missing (%)83.3%
Infinite0
Infinite (%)0.0%
Mean7607.5
Minimum7505
Maximum7789
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-10T23:37:43.067279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7505
5-th percentile7505
Q17521.75
median7573
Q37663.25
95-th percentile7783
Maximum7789
Range284
Interquartile range (IQR)141.5

Descriptive statistics

Standard deviation104.10828
Coefficient of variation (CV)0.013684953
Kurtosis-0.75019313
Mean7607.5
Median Absolute Deviation (MAD)61
Skewness0.84701621
Sum121720
Variance10838.533
MonotonicityNot monotonic
2024-05-10T23:37:43.426725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
7573 2
 
2.1%
7505 2
 
2.1%
7616 1
 
1.0%
7781 1
 
1.0%
7523 1
 
1.0%
7780 1
 
1.0%
7540 1
 
1.0%
7551 1
 
1.0%
7715 1
 
1.0%
7646 1
 
1.0%
Other values (4) 4
 
4.2%
(Missing) 80
83.3%
ValueCountFrequency (%)
7505 2
2.1%
7506 1
1.0%
7518 1
1.0%
7523 1
1.0%
7540 1
1.0%
7551 1
1.0%
7573 2
2.1%
7599 1
1.0%
7616 1
1.0%
7646 1
1.0%
ValueCountFrequency (%)
7789 1
1.0%
7781 1
1.0%
7780 1
1.0%
7715 1
1.0%
7646 1
1.0%
7616 1
1.0%
7599 1
1.0%
7573 2
2.1%
7551 1
1.0%
7540 1
1.0%

사업장명
Text

Distinct85
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size900.0 B
2024-05-10T23:37:43.919382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length8.5416667
Min length4

Characters and Unicode

Total characters820
Distinct characters145
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)79.2%

Sample

1st row비전에너지
2nd row지에스칼텍스저유(주)개화주유소
3rd row(주)타이거오일 방화주유소
4th row(주)공항석유직영 공항주유소
5th row진일주유소
ValueCountFrequency (%)
한국공항(주 3
 
2.5%
서림석유 3
 
2.5%
sk글로벌(주 3
 
2.5%
공항주유소 2
 
1.7%
주)한진 2
 
1.7%
대성석유(주 2
 
1.7%
주식회사 2
 
1.7%
직영 2
 
1.7%
에이치디현대오일뱅크(주 2
 
1.7%
가양주유소 2
 
1.7%
Other values (88) 95
80.5%
2024-05-10T23:37:44.825310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 96
 
11.7%
유 82
 
10.0%
소 54
 
6.6%
( 40
 
4.9%
) 40
 
4.9%
석 23
 
2.8%
22
 
2.7%
에 18
 
2.2%
대 15
 
1.8%
항 13
 
1.6%
Other values (135) 417
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 689
84.0%
Open Punctuation 40
 
4.9%
Close Punctuation 40
 
4.9%
Space Separator 22
 
2.7%
Uppercase Letter 21
 
2.6%
Lowercase Letter 4
 
0.5%
Other Punctuation 2
 
0.2%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 96
 
13.9%
유 82
 
11.9%
소 54
 
7.8%
석 23
 
3.3%
에 18
 
2.6%
대 15
 
2.2%
항 13
 
1.9%
공 13
 
1.9%
이 13
 
1.9%
영 12
 
1.7%
Other values (121) 350
50.8%
Uppercase Letter
ValueCountFrequency (%)
K 9
42.9%
S 5
23.8%
H 3
 
14.3%
O 2
 
9.5%
C 1
 
4.8%
I 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
k 2
50.0%
s 2
50.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 689
84.0%
Common 106
 
12.9%
Latin 25
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 96
 
13.9%
유 82
 
11.9%
소 54
 
7.8%
석 23
 
3.3%
에 18
 
2.6%
대 15
 
2.2%
항 13
 
1.9%
공 13
 
1.9%
이 13
 
1.9%
영 12
 
1.7%
Other values (121) 350
50.8%
Latin
ValueCountFrequency (%)
K 9
36.0%
S 5
20.0%
H 3
 
12.0%
O 2
 
8.0%
k 2
 
8.0%
s 2
 
8.0%
C 1
 
4.0%
I 1
 
4.0%
Common
ValueCountFrequency (%)
( 40
37.7%
) 40
37.7%
22
20.8%
. 2
 
1.9%
2 1
 
0.9%
1 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 689
84.0%
ASCII 131
 
16.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 96
 
13.9%
유 82
 
11.9%
소 54
 
7.8%
석 23
 
3.3%
에 18
 
2.6%
대 15
 
2.2%
항 13
 
1.9%
공 13
 
1.9%
이 13
 
1.9%
영 12
 
1.7%
Other values (121) 350
50.8%
ASCII
ValueCountFrequency (%)
( 40
30.5%
) 40
30.5%
22
16.8%
K 9
 
6.9%
S 5
 
3.8%
H 3
 
2.3%
O 2
 
1.5%
k 2
 
1.5%
. 2
 
1.5%
s 2
 
1.5%
Other values (4) 4
 
3.1%

최종수정일자
Date

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
Minimum2002-11-05 00:00:00
Maximum2024-05-09 16:09:14
2024-05-10T23:37:45.287490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:37:45.718883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
U
56 
I
40 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 56
58.3%
I 40
41.7%

Length

2024-05-10T23:37:46.098696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:37:46.266228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 56
58.3%
i 40
41.7%

데이터갱신일자
Categorical

Distinct45
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Memory size900.0 B
2018-08-31 23:59:59.0
38 
2022-12-04 00:02:00.0
9 
2019-04-25 02:40:00.0
 
3
2022-11-01 00:03:00.0
 
2
2022-12-02 00:05:00.0
 
2
Other values (40)
42 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique38 ?
Unique (%)39.6%

Sample

1st row2022-12-04 00:02:00.0
2nd row2021-10-31 23:06:00.0
3rd row2021-10-31 22:07:00.0
4th row2018-08-31 23:59:59.0
5th row2018-11-07 02:37:51.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 38
39.6%
2022-12-04 00:02:00.0 9
 
9.4%
2019-04-25 02:40:00.0 3
 
3.1%
2022-11-01 00:03:00.0 2
 
2.1%
2022-12-02 00:05:00.0 2
 
2.1%
2022-12-05 23:00:00.0 2
 
2.1%
2021-10-21 02:40:00.0 2
 
2.1%
2020-08-13 02:40:00.0 1
 
1.0%
2021-10-31 22:07:00.0 1
 
1.0%
2018-11-07 02:37:51.0 1
 
1.0%
Other values (35) 35
36.5%

Length

2024-05-10T23:37:46.441431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 40
20.8%
2018-08-31 38
19.8%
02:40:00.0 17
 
8.9%
2022-12-04 9
 
4.7%
00:02:00.0 9
 
4.7%
2022-12-02 4
 
2.1%
2019-04-25 3
 
1.6%
22:02:00.0 3
 
1.6%
00:03:00.0 3
 
1.6%
2022-12-05 3
 
1.6%
Other values (49) 63
32.8%

업태구분명
Categorical

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
주유소
57 
일반판매소
25 
항공유판매소
11 
용제판매소
 
3

Length

Max length6
Median length3
Mean length3.9270833
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주유소 57
59.4%
일반판매소 25
26.0%
항공유판매소 11
 
11.5%
용제판매소 3
 
3.1%

Length

2024-05-10T23:37:46.729219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:37:46.932759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 57
59.4%
일반판매소 25
26.0%
항공유판매소 11
 
11.5%
용제판매소 3
 
3.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)83.7%
Missing10
Missing (%)10.4%
Infinite0
Infinite (%)0.0%
Mean185394.31
Minimum179468.01
Maximum195669.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-10T23:37:47.320499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179468.01
5-th percentile182480.85
Q1183570.69
median185727.75
Q3187023.57
95-th percentile188923.84
Maximum195669.22
Range16201.204
Interquartile range (IQR)3452.8758

Descriptive statistics

Standard deviation2431.7915
Coefficient of variation (CV)0.013116862
Kurtosis2.6662471
Mean185394.31
Median Absolute Deviation (MAD)2022.212
Skewness0.58669457
Sum15943911
Variance5913610.1
MonotonicityNot monotonic
2024-05-10T23:37:47.813013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186317.207037672 3
 
3.1%
183590.976274233 3
 
3.1%
185752.295 2
 
2.1%
188933.762268533 2
 
2.1%
185992.005616866 2
 
2.1%
182974.850127567 2
 
2.1%
183387.952242292 2
 
2.1%
186708.530073604 2
 
2.1%
181730.49281718 2
 
2.1%
185703.208566279 2
 
2.1%
Other values (62) 64
66.7%
(Missing) 10
 
10.4%
ValueCountFrequency (%)
179468.0135109 1
1.0%
179470.556764127 1
1.0%
181730.49281718 2
2.1%
182466.194258488 1
1.0%
182524.823835629 1
1.0%
182649.013704222 1
1.0%
182739.232010141 1
1.0%
182749.273937321 1
1.0%
182797.996662976 1
1.0%
182815.654934494 1
1.0%
ValueCountFrequency (%)
195669.217619713 1
1.0%
189102.88632769 1
1.0%
188954.187154407 1
1.0%
188933.762268533 2
2.1%
188894.08883472 1
1.0%
188062.23356994 1
1.0%
188041.009007078 1
1.0%
188012.804745161 1
1.0%
187980.131483937 1
1.0%
187830.335512693 1
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)83.7%
Missing10
Missing (%)10.4%
Infinite0
Infinite (%)0.0%
Mean449955.51
Minimum423824.86
Maximum453707.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-10T23:37:48.226341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum423824.86
5-th percentile447553.82
Q1449242.58
median450357.12
Q3451490.29
95-th percentile452373.95
Maximum453707.02
Range29882.163
Interquartile range (IQR)2247.7134

Descriptive statistics

Standard deviation3293.4135
Coefficient of variation (CV)0.0073194202
Kurtosis47.113805
Mean449955.51
Median Absolute Deviation (MAD)1146.3117
Skewness-5.9801782
Sum38696174
Variance10846572
MonotonicityNot monotonic
2024-05-10T23:37:48.654989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451462.350090067 3
 
3.1%
451228.538476616 3
 
3.1%
451018.205 2
 
2.1%
449722.993690775 2
 
2.1%
447589.164888726 2
 
2.1%
450419.684560487 2
 
2.1%
450485.608187303 2
 
2.1%
451701.921231689 2
 
2.1%
450260.017880423 2
 
2.1%
448820.805108636 2
 
2.1%
Other values (62) 64
66.7%
(Missing) 10
 
10.4%
ValueCountFrequency (%)
423824.861537132 1
1.0%
445428.447103333 1
1.0%
447236.025595809 1
1.0%
447495.908489937 1
1.0%
447542.041050666 1
1.0%
447589.164888726 2
2.1%
447618.444962646 1
1.0%
447667.884671023 1
1.0%
447713.811564299 1
1.0%
447749.824590578 1
1.0%
ValueCountFrequency (%)
453707.024251114 2
2.1%
453689.595627214 1
1.0%
452498.530869981 1
1.0%
452373.945466631 2
2.1%
452356.969191781 1
1.0%
452319.790099839 1
1.0%
452278.735181315 1
1.0%
452212.274765754 1
1.0%
452151.273348188 1
1.0%
452048.0 1
1.0%

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

거래처
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
03150000923150151012000021992-02-04<NA>3폐업3폐지2015-12-11<NA><NA><NA>36615800151.0<NA>서울특별시 강서구 방화동 281-38서울특별시 강서구 양천로24길 28 (방화동)<NA>비전에너지2023-03-31 10:34:59U2022-12-04 00:02:00.0일반판매소183621.963028452212.274766<NA><NA>
13150000197631501000150001219760504<NA>3폐업3폐지20050624<NA><NA><NA>0226615555<NA><NA>서울특별시 강서구 방화동 488-1서울특별시 강서구 양천로 57 (방화동)<NA>지에스칼텍스저유(주)개화주유소2022-11-14 09:05:19U2021-10-31 23:06:00.0주유소183154.225362452373.945467<NA><NA>
23150000197631501000150001319760511<NA>1영업/정상1신규등록<NA><NA><NA><NA>0226620503646.0<NA>서울특별시 강서구 방화동 609-59서울특별시 강서구 방화동로 58-2 (방화동)7616(주)타이거오일 방화주유소2022-11-25 16:35:30U2021-10-31 22:07:00.0주유소183356.870827451499.60273<NA><NA>
33150000197631501000150001519760429<NA>3폐업3폐지20101103<NA><NA><NA>0226620554763.0<NA>서울특별시 강서구 공항동 7-5<NA><NA>(주)공항석유직영 공항주유소2018-07-11 16:55:33I2018-08-31 23:59:59.0주유소<NA><NA><NA><NA>
43150000197631501450150016419760524<NA>3폐업3폐지20181105<NA><NA><NA>36640547<NA><NA>서울특별시 강서구 염창동 274-18서울특별시 강서구 공항대로 533 (염창동)<NA>진일주유소2018-11-05 09:52:26U2018-11-07 02:37:51.0주유소188041.009007449882.937393<NA><NA>
5315000019763150151015005271976-05-27<NA>1영업/정상6휴지사업재개<NA><NA><NA><NA>02 26054000542.0<NA>서울특별시 강서구 화곡동 1125서울특별시 강서구 공항대로 432 (화곡동)<NA>하이웨이주유소2023-02-01 17:19:09U2022-12-02 00:03:00.0주유소187100.706426450276.503852<NA><NA>
6315000019813150100012000011981-10-15<NA>1영업/정상1신규등록<NA><NA><NA><NA>0226028612<NA><NA>서울특별시 강서구 화곡동 877-1서울특별시 강서구 곰달래로 166 (화곡동)7781중앙석유2023-06-08 14:40:16U2022-12-05 23:00:00.0일반판매소186792.141667447618.444963<NA><NA>
73150000198331500740120000120010524<NA>3폐업3폐지<NA>2008021320080812200806260226624 8418<NA><NA>서울특별시 강서구 방화동 246-26서울특별시 강서구 양천로24길 98 (방화동)<NA>금강석유2016-09-21 11:29:59I2018-08-31 23:59:59.0일반판매소183602.810877451867.036236<NA><NA>
8315000019833150074015000011989-02-01<NA>1영업/정상6휴지사업재개<NA>2012-09-102012-12-312012-12-270236652004<NA><NA>서울특별시 강서구 염창동 283-4서울특별시 강서구 공항대로 653 (염창동)<NA>에이치디현대오일뱅크(주) 직영 양화교셀프주유소2023-04-14 17:35:03U2022-12-03 23:06:00.0주유소189102.886328449459.968037<NA><NA>
93150000198331500740150000219830401<NA>3폐업3폐지20090603<NA><NA><NA><NA>500.0<NA>서울특별시 강서구 화곡동 1065-9서울특별시 강서구 화곡로 157 (화곡동)<NA>sk네트웍스(주)성하주유소2009-06-03 18:19:28I2018-08-31 23:59:59.0주유소185703.208566448820.805109<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
863150000201431501510150000120140704<NA>1영업/정상7영업개시<NA><NA><NA><NA>02206492561500.0<NA>서울특별시 강서구 개화동 565-4 외 2필지(565-6, 567-11)서울특별시 강서구 개화동로 420 (개화동)<NA>행촌에너지 공항주유소2018-09-21 14:00:02U2018-09-21 23:59:59.0주유소182466.194258452498.53087<NA><NA>
873150000201431501510150000220141223<NA>1영업/정상7영업개시<NA><NA><NA><NA>0264301476<NA><NA>서울특별시 강서구 공항동 1373서울특별시 강서구 하늘길 112 (공항동)<NA>(주)한진 김포공항 제2주유소2022-02-25 16:34:24U2022-02-27 02:40:00.0주유소182974.850128450419.68456<NA><NA>
883150000201731501510120000120171228<NA>1영업/정상7영업개시<NA><NA><NA><NA>02 67328896<NA><NA>서울특별시 강서구 방화동 886 김포공항, SGBAC 2층서울특별시 강서구 하늘길 38, 김포공항, SGBAC 2층 (방화동)7505에브제트아시아(주)2017-12-29 11:07:27I2018-08-31 23:59:59.0항공유판매소182524.823836451438.250897<NA><NA>
893150000201731501510150000120170223<NA>1영업/정상7영업개시<NA><NA><NA><NA>02 36637781800.0<NA>서울특별시 강서구 마곡동 752서울특별시 강서구 양천로 176 (마곡동)<NA>대성석유(주)방화대성주유소2019-04-23 09:11:53U2019-04-25 02:40:00.0주유소<NA><NA><NA><NA>
903150000201731501510150000220170207<NA>1영업/정상7영업개시<NA><NA><NA><NA>02 36647781800.0<NA>서울특별시 강서구 마곡동 784-1서울특별시 강서구 강서로 457 (마곡동)<NA>대성석유(주) 마곡대성주유소2019-04-23 09:49:32U2019-04-25 02:40:00.0주유소<NA><NA><NA><NA>
91315000020173150151015000032018-12-21<NA>1영업/정상7영업개시<NA><NA><NA><NA>02 266278371678.0<NA>서울특별시 강서구 외발산동 379 254-10,379-3,380-3,382-3,384-6서울특별시 강서구 방화대로 30 (외발산동)7506KH에너지(주)직영KH외발산주유소2023-02-03 18:02:05U2022-12-02 00:05:00.0주유소183745.607036449034.125176<NA><NA>
923150000202031502040150000120200922<NA>1영업/정상1신규등록<NA><NA><NA><NA><NA>265.0<NA>서울특별시 강서구 방화동 45-3 방화LPG충전소서울특별시 강서구 양천로27길 261-40, 방화LPG충전소 (방화동)7518올림픽주유소2020-09-23 09:13:16I2020-09-25 00:23:12.0주유소183739.72622453689.595627<NA><NA>
933150000202131502040150000120210820<NA>1영업/정상7영업개시<NA><NA><NA><NA><NA>801.1<NA>서울특별시 강서구 마곡동 813-3서울특별시 강서구 양천로 300 (마곡동)7789오션네트웍스(주) 서울식물원지점2022-08-04 14:34:52U2021-12-08 00:07:00.0주유소185519.0452048.0<NA><NA>
943150000202131502040150000220210907202211074취소/말소/만료/정지/중지2등록취소<NA><NA><NA><NA>0448501032<NA><NA>서울특별시 강서구 마곡동 742-2 대한예수교장로회강일교회서울특별시 강서구 마곡중앙3로 84, 타이어뱅크(주) (마곡동)7599타이어뱅크(주)2022-12-06 14:28:19U2021-11-02 00:08:00.0주유소183829.483309451226.916651<NA><NA>
953150000202231502040150000120221115<NA>1영업/정상1신규등록<NA><NA><NA><NA>044-850-1032799.8<NA>서울특별시 강서구 마곡동 742-1<NA><NA>타이어뱅크 주식회사2022-11-18 09:18:37I2021-10-31 22:00:00.0주유소<NA><NA><NA><NA>