Overview

Dataset statistics

Number of variables27
Number of observations168
Missing cells1273
Missing cells (%)28.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.5 KiB
Average record size in memory228.8 B

Variable types

Categorical9
Numeric4
DateTime7
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
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-19070/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (92.1%)Imbalance
영업상태코드 is highly imbalanced (50.4%)Imbalance
영업상태명 is highly imbalanced (50.4%)Imbalance
상세영업상태코드 is highly imbalanced (50.7%)Imbalance
상세영업상태명 is highly imbalanced (50.7%)Imbalance
도로명우편번호 is highly imbalanced (89.9%)Imbalance
폐업일자 has 93 (55.4%) missing valuesMissing
휴업시작일자 has 153 (91.1%) missing valuesMissing
휴업종료일자 has 153 (91.1%) missing valuesMissing
재개업일자 has 162 (96.4%) missing valuesMissing
전화번호 has 11 (6.5%) missing valuesMissing
소재지면적 has 87 (51.8%) missing valuesMissing
소재지우편번호 has 168 (100.0%) missing valuesMissing
도로명주소 has 42 (25.0%) missing valuesMissing
좌표정보(X) has 34 (20.2%) missing valuesMissing
좌표정보(Y) has 34 (20.2%) missing valuesMissing
자본금 has 168 (100.0%) missing valuesMissing
거래처 has 168 (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 started2024-04-06 10:56:04.542504
Analysis finished2024-04-06 10:56:05.276094
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3180000
168 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 168
100.0%

Length

2024-04-06T19:56:05.761801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:56:05.951195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 168
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct168
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9986335 × 1018
Minimum1.976318 × 1018
Maximum2.020318 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T19:56:06.218271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.976318 × 1018
5-th percentile1.976318 × 1018
Q11.994318 × 1018
median2.001818 × 1018
Q32.003568 × 1018
95-th percentile2.010318 × 1018
Maximum2.020318 × 1018
Range4.4000014 × 1016
Interquartile range (IQR)9.2500085 × 1015

Descriptive statistics

Standard deviation9.5648693 × 1015
Coefficient of variation (CV)0.0047857045
Kurtosis0.77092489
Mean1.9986335 × 1018
Median Absolute Deviation (MAD)4.499998 × 1015
Skewness-1.031462
Sum3.7290322 × 1018
Variance9.1486725 × 1031
MonotonicityStrictly increasing
2024-04-06T19:56:06.456853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1976318007601500001 1
 
0.6%
2003318007601500018 1
 
0.6%
2003318007601500010 1
 
0.6%
2003318007601500011 1
 
0.6%
2003318007601500012 1
 
0.6%
2003318007601500013 1
 
0.6%
2003318007601500014 1
 
0.6%
2003318007601500015 1
 
0.6%
2003318007601500016 1
 
0.6%
2003318007601500017 1
 
0.6%
Other values (158) 158
94.0%
ValueCountFrequency (%)
1976318007601500001 1
0.6%
1976318007601500002 1
0.6%
1976318007601500003 1
0.6%
1976318007601500004 1
0.6%
1976318007601500005 1
0.6%
1976318007601500006 1
0.6%
1976318007601500007 1
0.6%
1976318007601500008 1
0.6%
1976318007601500009 1
0.6%
1976318007601500010 1
0.6%
ValueCountFrequency (%)
2020318022101200001 1
0.6%
2017318022101500001 1
0.6%
2014318019001500001 1
0.6%
2014318019001200002 1
0.6%
2014318019001200001 1
0.6%
2010318011701500058 1
0.6%
2010318011701200114 1
0.6%
2010318011701200113 1
0.6%
2010318011701200014 1
0.6%
2010318011701200001 1
0.6%

인허가일자
Date

Distinct130
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1976-05-07 00:00:00
Maximum2020-07-03 00:00:00
2024-04-06T19:56:06.674886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:56:06.876453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
165 
20150701
 
1
20150828
 
1
20170307
 
1

Length

Max length8
Median length4
Mean length4.0714286
Min length4

Unique

Unique3 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 165
98.2%
20150701 1
 
0.6%
20150828 1
 
0.6%
20170307 1
 
0.6%

Length

2024-04-06T19:56:07.153276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:56:07.375582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 165
98.2%
20150701 1
 
0.6%
20150828 1
 
0.6%
20170307 1
 
0.6%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
126 
1
36 
4
 
4
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 126
75.0%
1 36
 
21.4%
4 4
 
2.4%
2 2
 
1.2%

Length

2024-04-06T19:56:07.570050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:56:07.767505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 126
75.0%
1 36
 
21.4%
4 4
 
2.4%
2 2
 
1.2%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
126 
영업/정상
36 
취소/말소/만료/정지/중지
 
4
휴업
 
2

Length

Max length14
Median length2
Mean length2.9285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 126
75.0%
영업/정상 36
 
21.4%
취소/말소/만료/정지/중지 4
 
2.4%
휴업 2
 
1.2%

Length

2024-04-06T19:56:07.967010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:56:08.151518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 126
75.0%
영업/정상 36
 
21.4%
취소/말소/만료/정지/중지 4
 
2.4%
휴업 2
 
1.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
126 
1
29 
6
 
7
2
 
4
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 126
75.0%
1 29
 
17.3%
6 7
 
4.2%
2 4
 
2.4%
5 2
 
1.2%

Length

2024-04-06T19:56:08.416653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:56:08.682024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 126
75.0%
1 29
 
17.3%
6 7
 
4.2%
2 4
 
2.4%
5 2
 
1.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐지
126 
신규등록
29 
휴지사업재개
 
7
등록취소
 
4
사업휴지
 
2

Length

Max length6
Median length2
Mean length2.5833333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐지 126
75.0%
신규등록 29
 
17.3%
휴지사업재개 7
 
4.2%
등록취소 4
 
2.4%
사업휴지 2
 
1.2%

Length

2024-04-06T19:56:08.943757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:56:09.184581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 126
75.0%
신규등록 29
 
17.3%
휴지사업재개 7
 
4.2%
등록취소 4
 
2.4%
사업휴지 2
 
1.2%

폐업일자
Date

MISSING 

Distinct56
Distinct (%)74.7%
Missing93
Missing (%)55.4%
Memory size1.4 KiB
Minimum2005-05-31 00:00:00
Maximum2023-06-29 00:00:00
2024-04-06T19:56:09.432365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:56:09.781104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct15
Distinct (%)100.0%
Missing153
Missing (%)91.1%
Memory size1.4 KiB
Minimum2010-10-23 00:00:00
Maximum2024-04-02 00:00:00
2024-04-06T19:56:09.977720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:56:10.143692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업종료일자
Date

MISSING 

Distinct15
Distinct (%)100.0%
Missing153
Missing (%)91.1%
Memory size1.4 KiB
Minimum2011-03-23 00:00:00
Maximum2024-05-31 00:00:00
2024-04-06T19:56:10.370106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:56:10.604285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

재개업일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing162
Missing (%)96.4%
Memory size1.4 KiB
Minimum2011-05-04 00:00:00
Maximum2023-10-28 00:00:00
2024-04-06T19:56:10.778714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:56:10.998300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

전화번호
Text

MISSING 

Distinct132
Distinct (%)84.1%
Missing11
Missing (%)6.5%
Memory size1.4 KiB
2024-04-06T19:56:11.479206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.8853503
Min length7

Characters and Unicode

Total characters1552
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

Unique114 ?
Unique (%)72.6%

Sample

1st row02 8321596
2nd row02 8433507
3rd row0226332716
4th row02 26332716
5th row02 8331113
ValueCountFrequency (%)
02 87
34.1%
8448465 5
 
2.0%
8321700 5
 
2.0%
8332776 4
 
1.6%
8430481 4
 
1.6%
0226783661 3
 
1.2%
0226780503 3
 
1.2%
8445180 3
 
1.2%
6787371 2
 
0.8%
8475151 2
 
0.8%
Other values (125) 137
53.7%
2024-04-06T19:56:12.182465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 254
16.4%
0 223
14.4%
8 169
10.9%
3 142
9.1%
7 136
8.8%
133
8.6%
6 129
8.3%
1 126
8.1%
4 111
7.2%
5 85
 
5.5%
Other values (2) 44
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1414
91.1%
Space Separator 133
 
8.6%
Dash Punctuation 5
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 254
18.0%
0 223
15.8%
8 169
12.0%
3 142
10.0%
7 136
9.6%
6 129
9.1%
1 126
8.9%
4 111
7.9%
5 85
 
6.0%
9 39
 
2.8%
Space Separator
ValueCountFrequency (%)
133
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 254
16.4%
0 223
14.4%
8 169
10.9%
3 142
9.1%
7 136
8.8%
133
8.6%
6 129
8.3%
1 126
8.1%
4 111
7.2%
5 85
 
5.5%
Other values (2) 44
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 254
16.4%
0 223
14.4%
8 169
10.9%
3 142
9.1%
7 136
8.8%
133
8.6%
6 129
8.3%
1 126
8.1%
4 111
7.2%
5 85
 
5.5%
Other values (2) 44
 
2.8%

소재지면적
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)77.8%
Missing87
Missing (%)51.8%
Infinite0
Infinite (%)0.0%
Mean917.35062
Minimum60
Maximum3243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T19:56:12.450278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile133
Q1542
median780
Q31176
95-th percentile1709
Maximum3243
Range3183
Interquartile range (IQR)634

Descriptive statistics

Standard deviation632.42621
Coefficient of variation (CV)0.68940512
Kurtosis4.4403631
Mean917.35062
Median Absolute Deviation (MAD)300
Skewness1.8061072
Sum74305.4
Variance399962.92
MonotonicityNot monotonic
2024-04-06T19:56:12.684426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
589.0 3
 
1.8%
100.0 3
 
1.8%
1176.0 3
 
1.8%
1073.0 3
 
1.8%
430.0 2
 
1.2%
647.0 2
 
1.2%
814.1 2
 
1.2%
3243.0 2
 
1.2%
1440.0 2
 
1.2%
756.9 2
 
1.2%
Other values (53) 57
33.9%
(Missing) 87
51.8%
ValueCountFrequency (%)
60.0 1
 
0.6%
100.0 3
1.8%
133.0 1
 
0.6%
141.0 1
 
0.6%
237.0 1
 
0.6%
247.0 1
 
0.6%
318.0 1
 
0.6%
323.0 1
 
0.6%
356.0 1
 
0.6%
404.0 1
 
0.6%
ValueCountFrequency (%)
3243.0 2
1.2%
2854.0 1
0.6%
2757.5 1
0.6%
1709.0 2
1.2%
1692.0 1
0.6%
1586.0 1
0.6%
1440.0 2
1.2%
1336.0 1
0.6%
1331.1 1
0.6%
1331.0 1
0.6%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

지번주소
Text

Distinct141
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-06T19:56:13.173984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length22.964286
Min length17

Characters and Unicode

Total characters3858
Distinct characters111
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)72.0%

Sample

1st row서울특별시 영등포구 대림동 989-1
2nd row서울특별시 영등포구 신길동 22-5
3rd row서울특별시 종로구 평창동 170 금강파크빌 4동 101호
4th row서울특별시 영등포구 양평동4가 28
5th row서울특별시 영등포구 신길동 3632-2
ValueCountFrequency (%)
서울특별시 167
23.1%
영등포구 163
22.5%
신길동 37
 
5.1%
대림동 26
 
3.6%
여의도동 22
 
3.0%
도림동 8
 
1.1%
영등포동7가 7
 
1.0%
당산동6가 7
 
1.0%
양평동4가 7
 
1.0%
문래동3가 6
 
0.8%
Other values (199) 273
37.8%
2024-04-06T19:56:13.996305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
678
17.6%
영 182
 
4.7%
등 182
 
4.7%
포 181
 
4.7%
1 176
 
4.6%
동 173
 
4.5%
구 169
 
4.4%
서 168
 
4.4%
시 168
 
4.4%
특 167
 
4.3%
Other values (101) 1614
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2243
58.1%
Decimal Number 788
 
20.4%
Space Separator 678
 
17.6%
Dash Punctuation 134
 
3.5%
Lowercase Letter 7
 
0.2%
Other Punctuation 5
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 182
 
8.1%
등 182
 
8.1%
포 181
 
8.1%
동 173
 
7.7%
구 169
 
7.5%
서 168
 
7.5%
시 168
 
7.5%
특 167
 
7.4%
별 167
 
7.4%
울 167
 
7.4%
Other values (78) 519
23.1%
Decimal Number
ValueCountFrequency (%)
1 176
22.3%
2 98
12.4%
5 77
9.8%
6 77
9.8%
0 73
9.3%
3 72
9.1%
4 72
9.1%
7 67
 
8.5%
8 42
 
5.3%
9 34
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
t 1
14.3%
n 1
14.3%
c 1
14.3%
l 1
14.3%
r 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
S 1
33.3%
V 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
. 2
40.0%
Space Separator
ValueCountFrequency (%)
678
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2243
58.1%
Common 1605
41.6%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 182
 
8.1%
등 182
 
8.1%
포 181
 
8.1%
동 173
 
7.7%
구 169
 
7.5%
서 168
 
7.5%
시 168
 
7.5%
특 167
 
7.4%
별 167
 
7.4%
울 167
 
7.4%
Other values (78) 519
23.1%
Common
ValueCountFrequency (%)
678
42.2%
1 176
 
11.0%
- 134
 
8.3%
2 98
 
6.1%
5 77
 
4.8%
6 77
 
4.8%
0 73
 
4.5%
3 72
 
4.5%
4 72
 
4.5%
7 67
 
4.2%
Other values (4) 81
 
5.0%
Latin
ValueCountFrequency (%)
e 2
20.0%
K 1
10.0%
t 1
10.0%
n 1
10.0%
S 1
10.0%
c 1
10.0%
V 1
10.0%
l 1
10.0%
r 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2243
58.1%
ASCII 1615
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
678
42.0%
1 176
 
10.9%
- 134
 
8.3%
2 98
 
6.1%
5 77
 
4.8%
6 77
 
4.8%
0 73
 
4.5%
3 72
 
4.5%
4 72
 
4.5%
7 67
 
4.1%
Other values (13) 91
 
5.6%
Hangul
ValueCountFrequency (%)
영 182
 
8.1%
등 182
 
8.1%
포 181
 
8.1%
동 173
 
7.7%
구 169
 
7.5%
서 168
 
7.5%
시 168
 
7.5%
특 167
 
7.4%
별 167
 
7.4%
울 167
 
7.4%
Other values (78) 519
23.1%

도로명주소
Text

MISSING 

Distinct105
Distinct (%)83.3%
Missing42
Missing (%)25.0%
Memory size1.4 KiB
2024-04-06T19:56:14.550568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length44
Mean length28.055556
Min length23

Characters and Unicode

Total characters3535
Distinct characters116
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)72.2%

Sample

1st row서울특별시 영등포구 시흥대로 641 (대림동)
2nd row서울특별시 종로구 평창12길 8-22, 4동 101호 (평창동,금강파크빌)
3rd row서울특별시 영등포구 선유로 260 (양평동4가)
4th row서울특별시 영등포구 신길로 74 (신길동)
5th row서울특별시 영등포구 선유로 195 (양평동3가)
ValueCountFrequency (%)
서울특별시 125
19.1%
영등포구 123
18.8%
신길동 29
 
4.4%
대림동 18
 
2.8%
가마산로 14
 
2.1%
여의도동 13
 
2.0%
여의대방로 10
 
1.5%
국회대로 9
 
1.4%
선유로 7
 
1.1%
도신로 6
 
0.9%
Other values (204) 299
45.8%
2024-04-06T19:56:15.349172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
547
 
15.5%
영 152
 
4.3%
등 146
 
4.1%
포 146
 
4.1%
동 131
 
3.7%
서 130
 
3.7%
시 127
 
3.6%
로 126
 
3.6%
) 126
 
3.6%
( 126
 
3.6%
Other values (106) 1778
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2168
61.3%
Space Separator 547
 
15.5%
Decimal Number 516
 
14.6%
Close Punctuation 126
 
3.6%
Open Punctuation 126
 
3.6%
Other Punctuation 25
 
0.7%
Dash Punctuation 18
 
0.5%
Lowercase Letter 6
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 152
 
7.0%
등 146
 
6.7%
포 146
 
6.7%
동 131
 
6.0%
서 130
 
6.0%
시 127
 
5.9%
로 126
 
5.8%
울 125
 
5.8%
구 125
 
5.8%
별 125
 
5.8%
Other values (83) 835
38.5%
Decimal Number
ValueCountFrequency (%)
1 126
24.4%
3 73
14.1%
2 63
12.2%
4 56
10.9%
7 39
 
7.6%
5 38
 
7.4%
6 36
 
7.0%
0 33
 
6.4%
8 29
 
5.6%
9 23
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
c 1
16.7%
n 1
16.7%
t 1
16.7%
r 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
K 1
33.3%
V 1
33.3%
Space Separator
ValueCountFrequency (%)
547
100.0%
Close Punctuation
ValueCountFrequency (%)
) 126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 126
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2168
61.3%
Common 1358
38.4%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 152
 
7.0%
등 146
 
6.7%
포 146
 
6.7%
동 131
 
6.0%
서 130
 
6.0%
시 127
 
5.9%
로 126
 
5.8%
울 125
 
5.8%
구 125
 
5.8%
별 125
 
5.8%
Other values (83) 835
38.5%
Common
ValueCountFrequency (%)
547
40.3%
) 126
 
9.3%
( 126
 
9.3%
1 126
 
9.3%
3 73
 
5.4%
2 63
 
4.6%
4 56
 
4.1%
7 39
 
2.9%
5 38
 
2.8%
6 36
 
2.7%
Other values (5) 128
 
9.4%
Latin
ValueCountFrequency (%)
e 2
22.2%
S 1
11.1%
K 1
11.1%
V 1
11.1%
c 1
11.1%
n 1
11.1%
t 1
11.1%
r 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2168
61.3%
ASCII 1367
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
547
40.0%
) 126
 
9.2%
( 126
 
9.2%
1 126
 
9.2%
3 73
 
5.3%
2 63
 
4.6%
4 56
 
4.1%
7 39
 
2.9%
5 38
 
2.8%
6 36
 
2.6%
Other values (13) 137
 
10.0%
Hangul
ValueCountFrequency (%)
영 152
 
7.0%
등 146
 
6.7%
포 146
 
6.7%
동 131
 
6.0%
서 130
 
6.0%
시 127
 
5.9%
로 126
 
5.8%
울 125
 
5.8%
구 125
 
5.8%
별 125
 
5.8%
Other values (83) 835
38.5%

도로명우편번호
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
163 
7262
 
1
7313
 
1
7433
 
1
7239
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique5 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 163
97.0%
7262 1
 
0.6%
7313 1
 
0.6%
7433 1
 
0.6%
7239 1
 
0.6%
7217 1
 
0.6%

Length

2024-04-06T19:56:15.599997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:56:15.812970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 163
97.0%
7262 1
 
0.6%
7313 1
 
0.6%
7433 1
 
0.6%
7239 1
 
0.6%
7217 1
 
0.6%

사업장명
Text

Distinct148
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-06T19:56:16.186313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length8.2738095
Min length2

Characters and Unicode

Total characters1390
Distinct characters170
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

Unique135 ?
Unique (%)80.4%

Sample

1st row신도림주유소
2nd rowSK글로벌(주)입체로주유소
3rd row성원이앤에스(주) 영등포지점
4th row제2한강주유소
5th row지에스칼텍스(주)신길주유소
ValueCountFrequency (%)
강서주유소 4
 
2.1%
대방주유소 4
 
2.1%
동아주유소 4
 
2.1%
대영주유소 3
 
1.5%
주식회사성일유화 3
 
1.5%
대광석유 3
 
1.5%
sk 3
 
1.5%
씨앤에스유통(주 2
 
1.0%
주)대경유업 2
 
1.0%
성락주유소 2
 
1.0%
Other values (151) 164
84.5%
2024-04-06T19:56:16.795600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 174
 
12.5%
유 124
 
8.9%
소 87
 
6.3%
( 77
 
5.5%
) 76
 
5.5%
대 44
 
3.2%
에 27
 
1.9%
26
 
1.9%
지 24
 
1.7%
성 22
 
1.6%
Other values (160) 709
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1163
83.7%
Open Punctuation 77
 
5.5%
Close Punctuation 76
 
5.5%
Uppercase Letter 40
 
2.9%
Space Separator 26
 
1.9%
Lowercase Letter 4
 
0.3%
Dash Punctuation 3
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 174
 
15.0%
유 124
 
10.7%
소 87
 
7.5%
대 44
 
3.8%
에 27
 
2.3%
지 24
 
2.1%
성 22
 
1.9%
스 22
 
1.9%
화 21
 
1.8%
석 18
 
1.5%
Other values (148) 600
51.6%
Uppercase Letter
ValueCountFrequency (%)
K 19
47.5%
S 17
42.5%
H 2
 
5.0%
G 1
 
2.5%
L 1
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
s 2
50.0%
k 2
50.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1163
83.7%
Common 183
 
13.2%
Latin 44
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 174
 
15.0%
유 124
 
10.7%
소 87
 
7.5%
대 44
 
3.8%
에 27
 
2.3%
지 24
 
2.1%
성 22
 
1.9%
스 22
 
1.9%
화 21
 
1.8%
석 18
 
1.5%
Other values (148) 600
51.6%
Latin
ValueCountFrequency (%)
K 19
43.2%
S 17
38.6%
s 2
 
4.5%
k 2
 
4.5%
H 2
 
4.5%
G 1
 
2.3%
L 1
 
2.3%
Common
ValueCountFrequency (%)
( 77
42.1%
) 76
41.5%
26
 
14.2%
- 3
 
1.6%
2 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1163
83.7%
ASCII 227
 
16.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 174
 
15.0%
유 124
 
10.7%
소 87
 
7.5%
대 44
 
3.8%
에 27
 
2.3%
지 24
 
2.1%
성 22
 
1.9%
스 22
 
1.9%
화 21
 
1.8%
석 18
 
1.5%
Other values (148) 600
51.6%
ASCII
ValueCountFrequency (%)
( 77
33.9%
) 76
33.5%
26
 
11.5%
K 19
 
8.4%
S 17
 
7.5%
- 3
 
1.3%
s 2
 
0.9%
k 2
 
0.9%
H 2
 
0.9%
G 1
 
0.4%
Other values (2) 2
 
0.9%

최종수정일자
Date

Distinct163
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2001-04-23 00:00:00
Maximum2024-04-03 16:17:10
2024-04-06T19:56:17.112780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:56:17.392806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
I
117 
U
51 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 117
69.6%
U 51
30.4%

Length

2024-04-06T19:56:17.643611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:56:17.814147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 117
69.6%
u 51
30.4%

데이터갱신일자
Date

Distinct39
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-06T19:56:18.014224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:56:18.280818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

업태구분명
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
주유소
95 
용제판매소
46 
일반판매소
26 
항공유판매소
 
1

Length

Max length6
Median length3
Mean length3.875
Min length3

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
주유소 95
56.5%
용제판매소 46
27.4%
일반판매소 26
 
15.5%
항공유판매소 1
 
0.6%

Length

2024-04-06T19:56:18.526224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:56:18.733021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 95
56.5%
용제판매소 46
27.4%
일반판매소 26
 
15.5%
항공유판매소 1
 
0.6%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)77.6%
Missing34
Missing (%)20.2%
Infinite0
Infinite (%)0.0%
Mean191751.87
Minimum187924.93
Maximum206490.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T19:56:19.319558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum187924.93
5-th percentile190248.6
Q1190900.12
median191510.61
Q3192538.09
95-th percentile193289.39
Maximum206490.25
Range18565.319
Interquartile range (IQR)1637.9665

Descriptive statistics

Standard deviation1728.3529
Coefficient of variation (CV)0.0090134869
Kurtosis39.844605
Mean191751.87
Median Absolute Deviation (MAD)776.73608
Skewness4.8372697
Sum25694750
Variance2987203.9
MonotonicityNot monotonic
2024-04-06T19:56:19.562805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192887.789114176 4
 
2.4%
191817.199365771 4
 
2.4%
192593.404916499 4
 
2.4%
191341.783222286 3
 
1.8%
190712.446581534 3
 
1.8%
191043.985319082 3
 
1.8%
193282.654266684 3
 
1.8%
192857.928262332 3
 
1.8%
190642.462875524 3
 
1.8%
192538.090993034 2
 
1.2%
Other values (94) 102
60.7%
(Missing) 34
 
20.2%
ValueCountFrequency (%)
187924.928508271 1
0.6%
188128.216730386 1
0.6%
189955.804848895 1
0.6%
190023.48828661 1
0.6%
190071.217978305 1
0.6%
190074.207660581 1
0.6%
190189.555837124 1
0.6%
190280.387551989 1
0.6%
190324.815986464 1
0.6%
190364.652010662 1
0.6%
ValueCountFrequency (%)
206490.247358174 1
 
0.6%
197165.654249255 1
 
0.6%
194530.535390096 1
 
0.6%
193785.813402517 1
 
0.6%
193518.151346866 1
 
0.6%
193352.144918442 1
 
0.6%
193301.90534733 1
 
0.6%
193282.654266684 3
1.8%
193257.274552201 1
 
0.6%
193220.852226066 1
 
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)77.6%
Missing34
Missing (%)20.2%
Infinite0
Infinite (%)0.0%
Mean446076.22
Minimum442961.86
Maximum460830.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T19:56:19.793329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442961.86
5-th percentile443907.85
Q1444402.39
median446066.03
Q3447135.92
95-th percentile448377.91
Maximum460830.62
Range17868.758
Interquartile range (IQR)2733.527

Descriptive statistics

Standard deviation2146.6501
Coefficient of variation (CV)0.0048122943
Kurtosis18.797319
Mean446076.22
Median Absolute Deviation (MAD)1387.8396
Skewness3.1336022
Sum59774214
Variance4608106.5
MonotonicityNot monotonic
2024-04-06T19:56:20.023347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444303.407621955 4
 
2.4%
445315.304547129 4
 
2.4%
445902.768408138 4
 
2.4%
444628.002467771 3
 
1.8%
444042.912673113 3
 
1.8%
444464.348794306 3
 
1.8%
447611.552045596 3
 
1.8%
444236.200769671 3
 
1.8%
448377.913463728 3
 
1.8%
447271.881673217 2
 
1.2%
Other values (94) 102
60.7%
(Missing) 34
 
20.2%
ValueCountFrequency (%)
442961.857133916 1
0.6%
443035.308693926 1
0.6%
443216.404928933 1
0.6%
443293.768754854 1
0.6%
443578.565673887 1
0.6%
443678.50304124 1
0.6%
443878.085293436 1
0.6%
443923.872118449 1
0.6%
443970.704247293 2
1.2%
443994.663078962 2
1.2%
ValueCountFrequency (%)
460830.615360327 1
 
0.6%
456180.749959012 1
 
0.6%
448470.995118249 1
 
0.6%
448399.365382151 1
 
0.6%
448394.181838704 1
 
0.6%
448377.913463728 3
1.8%
448295.820806256 1
 
0.6%
448226.051690401 1
 
0.6%
448147.790559991 1
 
0.6%
448061.28282499 1
 
0.6%

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

거래처
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing168
Missing (%)100.0%
Memory size1.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
03180000197631800760150000119760524<NA>3폐업3폐지20070731<NA><NA><NA>02 83215961288.0<NA>서울특별시 영등포구 대림동 989-1서울특별시 영등포구 시흥대로 641 (대림동)<NA>신도림주유소2007-08-01 16:33:36I2018-08-31 23:59:59.0주유소191646.002416443035.308694<NA><NA>
13180000197631800760150000219760528<NA>3폐업3폐지20170615<NA><NA><NA>02 84335071320.0<NA>서울특별시 영등포구 신길동 22-5<NA><NA>SK글로벌(주)입체로주유소2017-06-15 10:44:16I2018-08-31 23:59:59.0주유소192662.858001446136.389996<NA><NA>
23180000197631800760150000319760512<NA>3폐업3폐지<NA>2012041820130216<NA>02263327161336.0<NA>서울특별시 종로구 평창동 170 금강파크빌 4동 101호서울특별시 종로구 평창12길 8-22, 4동 101호 (평창동,금강파크빌)<NA>성원이앤에스(주) 영등포지점2016-12-14 14:57:02I2018-08-31 23:59:59.0주유소197165.654249456180.749959<NA><NA>
3318000019763180076015000042005-09-26<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 26332716491.0<NA>서울특별시 영등포구 양평동4가 28서울특별시 영등포구 선유로 260 (양평동4가)<NA>제2한강주유소2023-03-13 10:48:33U2022-12-02 23:05:00.0주유소190911.175787448147.79056<NA><NA>
4318000019763180076015000051976-05-18<NA>1영업/정상1신규등록<NA>2011-12-162012-04-30<NA>02 8331113414.0<NA>서울특별시 영등포구 신길동 3632-2서울특별시 영등포구 신길로 74 (신길동)<NA>지에스칼텍스(주)신길주유소2024-04-03 15:56:03U2023-12-04 00:05:00.0주유소191859.745335444097.693175<NA><NA>
53180000197631800760150000619760528<NA>3폐업3폐지20160415<NA><NA><NA>02263310132854.0<NA>서울특별시 영등포구 양평동3가 80-2서울특별시 영등포구 선유로 195 (양평동3가)<NA>sk글로벌(주)양평주유소2016-04-15 15:10:52I2018-08-31 23:59:59.0주유소190508.813349447654.257091<NA><NA>
63180000197631800760150000719760507<NA>3폐업3폐지20210105<NA><NA><NA>02 263321811586.0<NA>서울특별시 영등포구 양평동1가 104-1서울특별시 영등포구 선유로 114 (양평동1가)7262현대오일뱅크(주)직영 선유로셀프주유소2021-01-05 09:29:39U2021-01-07 02:40:00.0주유소190280.387552446874.553138<NA><NA>
73180000197631800760150000819760528<NA>3폐업3폐지<NA><NA><NA><NA>02 84304811106.0<NA>서울특별시 영등포구 신길동 50-8<NA><NA>(주)미륭상사 신길동주유소2017-02-09 14:27:28I2018-08-31 23:59:59.0주유소192593.404916445902.768408<NA><NA>
83180000197631800760150000919760529<NA>3폐업3폐지20170615<NA><NA><NA>02 6780503814.0<NA>서울특별시 영등포구 영등포동 426-57<NA><NA>SK글로벌(주)남부주우소2017-06-15 10:46:04I2018-08-31 23:59:59.0주유소<NA><NA><NA><NA>
93180000197631800760150001019760512<NA>3폐업3폐지201403132014010120140630<NA>02 83200491302.0<NA>서울특별시 영등포구 대림동 994-1<NA><NA>(주)안국에너지 동신주유소2014-03-13 14:38:28I2018-08-31 23:59:59.0주유소<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
1583180000201031801170120000120100423<NA>3폐업3폐지20170523<NA><NA><NA><NA>100.0<NA>서울특별시 영등포구 영등포동2가 94-105서울특별시 영등포구 버드나루로12나길 32 (영등포동2가)<NA>삼광석유2017-05-23 15:27:41I2018-08-31 23:59:59.0일반판매소192183.659195446746.145914<NA><NA>
1593180000201031801170120001420030930<NA>3폐업3폐지20181112<NA><NA><NA>26782861100.0<NA>서울특별시 영등포구 영등포동1가 31서울특별시 영등포구 경인로112길 13 (영등포동1가)<NA>대광석유2018-11-12 17:29:40U2018-11-14 02:37:26.0일반판매소192369.611808446208.099856<NA><NA>
1603180000201031801170120011320100407<NA>3폐업3폐지20150828<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 당산동1가 191-11서울특별시 영등포구 영신로 169 (당산동1가)<NA>대우에너지2015-08-28 16:44:57I2018-08-31 23:59:59.0일반판매소191221.038051446725.855875<NA><NA>
1613180000201031801170120011420100426<NA>3폐업3폐지20101101<NA><NA><NA><NA>100.0<NA>경기도 광명시 철산동 55-1 6통1반 광복현대아파트 105동 902호경기도 광명시 사성로103번길 14, 105동 902호 (철산동,광복현대아파트)<NA>삼광석유2010-11-01 17:30:36I2018-08-31 23:59:59.0일반판매소188128.21673443216.404929<NA><NA>
162318000020103180117015000581994-04-11<NA>1영업/정상1신규등록<NA><NA><NA><NA>841-8780500.0<NA>서울특별시 영등포구 대림동 776-3서울특별시 영등포구 가마산로 328 (대림동)<NA>(주)대청에너지2023-10-25 10:50:40U2022-10-30 22:07:00.0주유소190712.446582444042.912673<NA><NA>
163318000020143180190012000012002-06-05<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 26789140<NA><NA>서울특별시 영등포구 문래동1가 17-8서울특별시 영등포구 경인로90길 9-13 (문래동1가)<NA>유림에너지2024-04-03 16:10:33U2023-12-04 00:05:00.0일반판매소191237.251843445726.768981<NA><NA>
1643180000201431801900120000219900628<NA>3폐업3폐지201702282016031620161231<NA>256785400<NA><NA>서울특별시 영등포구 영등포동4가 116-6서울특별시 영등포구 영신로32길 18-1 (영등포동4가)<NA>대일석유2017-03-01 10:14:51I2018-08-31 23:59:59.0일반판매소191370.231446305.955531<NA><NA>
1653180000201431801900150000120141124201703074취소/말소/만료/정지/중지2등록취소<NA><NA><NA><NA>20680311<NA><NA>서울특별시 영등포구 당산동3가 72-1서울특별시 영등포구 양산로25길 9 (당산동3가)<NA>(주)홍화인터내셔널2017-04-17 13:52:42I2018-08-31 23:59:59.0용제판매소190957.078658446940.090772<NA><NA>
1663180000201731802210150000120180220<NA>1영업/정상1신규등록<NA><NA><NA><NA>02-843-5151756.9<NA>서울특별시 영등포구 대림동 667-13서울특별시 영등포구 가마산로 367 (대림동)<NA>남서울고속주유소2022-04-06 13:02:17U2021-12-04 00:09:00.0주유소190987.578875444381.741669<NA><NA>
167318000020203180221012000012020-07-03<NA>3폐업3폐지2023-06-29<NA><NA><NA>02-6711-1852<NA><NA>서울특별시 영등포구 당산동4가 80 당산 SK V1 center서울특별시 영등포구 당산로41길 11, 당산 SK V1 center (당산동4가)7217(주)트랜스올2023-09-22 11:30:56U2022-12-08 22:04:00.0항공유판매소190941.054352447628.862085<NA><NA>