Overview

Dataset statistics

Number of variables27
Number of observations89
Missing cells781
Missing cells (%)32.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.9 KiB
Average record size in memory229.5 B

Variable types

Categorical8
Numeric5
DateTime6
Unsupported4
Text4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),자본금,거래처
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-19068/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
도로명우편번호 is highly imbalanced (88.8%)Imbalance
데이터갱신일자 is highly imbalanced (54.0%)Imbalance
인허가취소일자 has 89 (100.0%) missing valuesMissing
폐업일자 has 70 (78.7%) missing valuesMissing
휴업시작일자 has 84 (94.4%) missing valuesMissing
휴업종료일자 has 84 (94.4%) missing valuesMissing
재개업일자 has 85 (95.5%) missing valuesMissing
전화번호 has 2 (2.2%) missing valuesMissing
소재지면적 has 51 (57.3%) missing valuesMissing
소재지우편번호 has 89 (100.0%) missing valuesMissing
도로명주소 has 21 (23.6%) missing valuesMissing
좌표정보(X) has 14 (15.7%) missing valuesMissing
좌표정보(Y) has 14 (15.7%) missing valuesMissing
자본금 has 89 (100.0%) missing valuesMissing
거래처 has 89 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자본금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
거래처 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 05:51:55.508350
Analysis finished2024-05-11 05:51:55.971617
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
3160000
89 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 89
100.0%

Length

2024-05-11T14:51:56.039900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:56.193549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 89
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9944284 × 1018
Minimum1.960316 × 1018
Maximum2.017316 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2024-05-11T14:51:56.313060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.960316 × 1018
5-th percentile1.974516 × 1018
Q11.989316 × 1018
median1.993316 × 1018
Q32.002316 × 1018
95-th percentile2.007316 × 1018
Maximum2.017316 × 1018
Range5.7000013 × 1016
Interquartile range (IQR)1.3 × 1016

Descriptive statistics

Standard deviation1.0251873 × 1016
Coefficient of variation (CV)0.0051402562
Kurtosis1.0061336
Mean1.9944284 × 1018
Median Absolute Deviation (MAD)7 × 1015
Skewness-0.79259488
Sum-6.963316 × 1018
Variance1.0510089 × 1032
MonotonicityStrictly increasing
2024-05-11T14:51:56.519528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1960316007101200014 1
 
1.1%
2002316007101500003 1
 
1.1%
2002316007101500001 1
 
1.1%
2001316020301200026 1
 
1.1%
2001316007101500003 1
 
1.1%
2001316007101500002 1
 
1.1%
2001316007101500001 1
 
1.1%
2001316007101200002 1
 
1.1%
2001316007101200001 1
 
1.1%
2000316007101500008 1
 
1.1%
Other values (79) 79
88.8%
ValueCountFrequency (%)
1960316007101200014 1
1.1%
1970316007101200024 1
1.1%
1970316007101500001 1
1.1%
1970316007101500002 1
1.1%
1973316007101500003 1
1.1%
1976316007101500005 1
1.1%
1976316007101500007 1
1.1%
1976316007101500015 1
1.1%
1976316007101500016 1
1.1%
1985316007101200022 1
1.1%
ValueCountFrequency (%)
2017316020301500001 1
1.1%
2011316017401200001 1
1.1%
2007316011701500004 1
1.1%
2007316011701500003 1
1.1%
2007316011701500002 1
1.1%
2007316011701500001 1
1.1%
2006316011701500002 1
1.1%
2006316011701500001 1
1.1%
2006316009301500002 1
1.1%
2006316009301500001 1
1.1%

인허가일자
Date

Distinct80
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size844.0 B
Minimum1960-06-23 00:00:00
Maximum2017-03-07 00:00:00
2024-05-11T14:51:56.736160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:56.956279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size844.0 B
1
44 
3
43 
4
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 44
49.4%
3 43
48.3%
4 1
 
1.1%
2 1
 
1.1%

Length

2024-05-11T14:51:57.175576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:57.345680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 44
49.4%
3 43
48.3%
4 1
 
1.1%
2 1
 
1.1%

영업상태명
Categorical

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size844.0 B
영업/정상
44 
폐업
43 
취소/말소/만료/정지/중지
 
1
휴업
 
1

Length

Max length14
Median length5
Mean length3.6179775
Min length2

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 44
49.4%
폐업 43
48.3%
취소/말소/만료/정지/중지 1
 
1.1%
휴업 1
 
1.1%

Length

2024-05-11T14:51:57.573985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:57.767804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 44
49.4%
폐업 43
48.3%
취소/말소/만료/정지/중지 1
 
1.1%
휴업 1
 
1.1%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.505618
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2024-05-11T14:51:57.968005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q33
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5820269
Coefficient of variation (CV)0.63139189
Kurtosis1.159665
Mean2.505618
Median Absolute Deviation (MAD)2
Skewness1.1256757
Sum223
Variance2.502809
MonotonicityNot monotonic
2024-05-11T14:51:58.161080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 43
48.3%
1 36
40.4%
6 5
 
5.6%
7 3
 
3.4%
2 1
 
1.1%
5 1
 
1.1%
ValueCountFrequency (%)
1 36
40.4%
2 1
 
1.1%
3 43
48.3%
5 1
 
1.1%
6 5
 
5.6%
7 3
 
3.4%
ValueCountFrequency (%)
7 3
 
3.4%
6 5
 
5.6%
5 1
 
1.1%
3 43
48.3%
2 1
 
1.1%
1 36
40.4%

상세영업상태명
Categorical

Distinct6
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size844.0 B
폐지
43 
신규등록
36 
휴지사업재개
5 
영업개시
 
3
등록취소
 
1

Length

Max length6
Median length4
Mean length3.1460674
Min length2

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐지 43
48.3%
신규등록 36
40.4%
휴지사업재개 5
 
5.6%
영업개시 3
 
3.4%
등록취소 1
 
1.1%
사업휴지 1
 
1.1%

Length

2024-05-11T14:51:58.355443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:51:58.544405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 43
48.3%
신규등록 36
40.4%
휴지사업재개 5
 
5.6%
영업개시 3
 
3.4%
등록취소 1
 
1.1%
사업휴지 1
 
1.1%

폐업일자
Date

MISSING 

Distinct19
Distinct (%)100.0%
Missing70
Missing (%)78.7%
Memory size844.0 B
Minimum2009-06-15 00:00:00
Maximum2024-02-29 00:00:00
2024-05-11T14:51:58.722397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:58.886577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

휴업시작일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing84
Missing (%)94.4%
Memory size844.0 B
Minimum2011-04-12 00:00:00
Maximum2019-01-01 00:00:00
2024-05-11T14:51:59.052622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:59.211630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴업종료일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing84
Missing (%)94.4%
Memory size844.0 B
Minimum2011-06-11 00:00:00
Maximum2019-01-30 00:00:00
2024-05-11T14:51:59.360184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:59.519297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

재개업일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing85
Missing (%)95.5%
Memory size844.0 B
Minimum2012-09-03 00:00:00
Maximum2022-08-04 00:00:00
2024-05-11T14:51:59.673861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:51:59.892030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

전화번호
Text

MISSING 

Distinct84
Distinct (%)96.6%
Missing2
Missing (%)2.2%
Memory size844.0 B
2024-05-11T14:52:00.263154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.482759
Min length7

Characters and Unicode

Total characters912
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

Unique81 ?
Unique (%)93.1%

Sample

1st row02 864 8874
2nd row02 685 9005
3rd row0226126690
4th row028571 251
5th row02 8561135
ValueCountFrequency (%)
02 51
30.9%
855 3
 
1.8%
8550308 2
 
1.2%
8561791 2
 
1.2%
8665189 2
 
1.2%
864 2
 
1.2%
0232812671 1
 
0.6%
0226123147 1
 
0.6%
6400 1
 
0.6%
863 1
 
0.6%
Other values (99) 99
60.0%
2024-05-11T14:52:00.779251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 165
18.1%
0 125
13.7%
6 114
12.5%
106
11.6%
8 92
10.1%
5 80
8.8%
1 70
7.7%
7 46
 
5.0%
3 43
 
4.7%
9 41
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 806
88.4%
Space Separator 106
 
11.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 165
20.5%
0 125
15.5%
6 114
14.1%
8 92
11.4%
5 80
9.9%
1 70
8.7%
7 46
 
5.7%
3 43
 
5.3%
9 41
 
5.1%
4 30
 
3.7%
Space Separator
ValueCountFrequency (%)
106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 912
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 165
18.1%
0 125
13.7%
6 114
12.5%
106
11.6%
8 92
10.1%
5 80
8.8%
1 70
7.7%
7 46
 
5.0%
3 43
 
4.7%
9 41
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 912
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 165
18.1%
0 125
13.7%
6 114
12.5%
106
11.6%
8 92
10.1%
5 80
8.8%
1 70
7.7%
7 46
 
5.0%
3 43
 
4.7%
9 41
 
4.5%

소재지면적
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)92.1%
Missing51
Missing (%)57.3%
Infinite0
Infinite (%)0.0%
Mean1067.9895
Minimum20
Maximum3885
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2024-05-11T14:52:00.976676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile334.795
Q1513.55
median901.8
Q31407
95-th percentile3057
Maximum3885
Range3865
Interquartile range (IQR)893.45

Descriptive statistics

Standard deviation836.54172
Coefficient of variation (CV)0.78328648
Kurtosis3.2629546
Mean1067.9895
Median Absolute Deviation (MAD)414.96
Skewness1.7617798
Sum40583.6
Variance699802.05
MonotonicityNot monotonic
2024-05-11T14:52:01.208661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
383.96 2
 
2.2%
921.0 2
 
2.2%
3057.0 2
 
2.2%
826.0 1
 
1.1%
1457.8 1
 
1.1%
1311.0 1
 
1.1%
20.0 1
 
1.1%
733.0 1
 
1.1%
481.08 1
 
1.1%
337.0 1
 
1.1%
Other values (25) 25
28.1%
(Missing) 51
57.3%
ValueCountFrequency (%)
20.0 1
1.1%
322.3 1
1.1%
337.0 1
1.1%
344.0 1
1.1%
347.0 1
1.1%
377.0 1
1.1%
383.96 2
2.2%
481.08 1
1.1%
502.4 1
1.1%
547.0 1
1.1%
ValueCountFrequency (%)
3885.0 1
1.1%
3057.0 2
2.2%
2221.0 1
1.1%
1972.0 1
1.1%
1687.3 1
1.1%
1501.1 1
1.1%
1457.8 1
1.1%
1442.0 1
1.1%
1439.0 1
1.1%
1311.0 1
1.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

지번주소
Text

Distinct86
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size844.0 B
2024-05-11T14:52:01.716830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length41
Mean length23.52809
Min length17

Characters and Unicode

Total characters2094
Distinct characters99
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

Unique83 ?
Unique (%)93.3%

Sample

1st row서울특별시 구로구 구로동 551-95
2nd row서울특별시 구로구 고척동 51-1 현대상가 7동 102호
3rd row서울특별시 구로구 오류동 115-1
4th row서울특별시 구로구 구로동 754-4 754-5,754-6,754-7,754-10
5th row서울특별시 구로구 구로동 1131-4
ValueCountFrequency (%)
서울특별시 89
21.7%
구로구 86
21.0%
구로동 35
 
8.5%
고척동 12
 
2.9%
오류동 11
 
2.7%
개봉동 10
 
2.4%
가리봉동 7
 
1.7%
신도림동 5
 
1.2%
궁동 3
 
0.7%
103-4 3
 
0.7%
Other values (140) 149
36.3%
2024-05-11T14:52:02.485691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
399
19.1%
구 213
 
10.2%
로 121
 
5.8%
1 109
 
5.2%
동 102
 
4.9%
서 90
 
4.3%
특 89
 
4.3%
별 89
 
4.3%
시 89
 
4.3%
울 89
 
4.3%
Other values (89) 704
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1135
54.2%
Decimal Number 460
22.0%
Space Separator 399
 
19.1%
Dash Punctuation 88
 
4.2%
Uppercase Letter 7
 
0.3%
Other Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 213
18.8%
로 121
10.7%
동 102
9.0%
서 90
7.9%
특 89
7.8%
별 89
7.8%
시 89
7.8%
울 89
7.8%
가 17
 
1.5%
봉 17
 
1.5%
Other values (69) 219
19.3%
Decimal Number
ValueCountFrequency (%)
1 109
23.7%
2 55
12.0%
4 51
11.1%
0 44
9.6%
6 44
9.6%
3 43
 
9.3%
7 41
 
8.9%
5 29
 
6.3%
8 23
 
5.0%
9 21
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
A 2
28.6%
D 1
14.3%
C 1
14.3%
S 1
14.3%
K 1
14.3%
B 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
@ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
399
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1135
54.2%
Common 952
45.5%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 213
18.8%
로 121
10.7%
동 102
9.0%
서 90
7.9%
특 89
7.8%
별 89
7.8%
시 89
7.8%
울 89
7.8%
가 17
 
1.5%
봉 17
 
1.5%
Other values (69) 219
19.3%
Common
ValueCountFrequency (%)
399
41.9%
1 109
 
11.4%
- 88
 
9.2%
2 55
 
5.8%
4 51
 
5.4%
0 44
 
4.6%
6 44
 
4.6%
3 43
 
4.5%
7 41
 
4.3%
5 29
 
3.0%
Other values (4) 49
 
5.1%
Latin
ValueCountFrequency (%)
A 2
28.6%
D 1
14.3%
C 1
14.3%
S 1
14.3%
K 1
14.3%
B 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1135
54.2%
ASCII 959
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
399
41.6%
1 109
 
11.4%
- 88
 
9.2%
2 55
 
5.7%
4 51
 
5.3%
0 44
 
4.6%
6 44
 
4.6%
3 43
 
4.5%
7 41
 
4.3%
5 29
 
3.0%
Other values (10) 56
 
5.8%
Hangul
ValueCountFrequency (%)
구 213
18.8%
로 121
10.7%
동 102
9.0%
서 90
7.9%
특 89
7.8%
별 89
7.8%
시 89
7.8%
울 89
7.8%
가 17
 
1.5%
봉 17
 
1.5%
Other values (69) 219
19.3%

도로명주소
Text

MISSING 

Distinct68
Distinct (%)100.0%
Missing21
Missing (%)23.6%
Memory size844.0 B
2024-05-11T14:52:02.915334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length27.514706
Min length22

Characters and Unicode

Total characters1871
Distinct characters99
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

Unique68 ?
Unique (%)100.0%

Sample

1st row서울특별시 구로구 구로중앙로32가길 44 (구로동)
2nd row서울특별시 구로구 중앙로10길 21, 7동 102호 (고척동,현대상가)
3rd row서울특별시 구로구 구로동로 137 (구로동,754-5,754-6,754-7,754-10)
4th row서울특별시 구로구 시흥대로 531 (구로동)
5th row서울특별시 구로구 경인로 407 (고척동)
ValueCountFrequency (%)
서울특별시 68
19.0%
구로구 65
18.2%
구로동 17
 
4.8%
경인로 11
 
3.1%
개봉동 8
 
2.2%
오류동 8
 
2.2%
가리봉동 6
 
1.7%
고척동 6
 
1.7%
신도림동 5
 
1.4%
고척로 5
 
1.4%
Other values (137) 158
44.3%
2024-05-11T14:52:03.503517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
315
16.8%
구 169
 
9.0%
로 166
 
8.9%
동 81
 
4.3%
서 71
 
3.8%
시 70
 
3.7%
) 68
 
3.6%
특 68
 
3.6%
별 68
 
3.6%
( 68
 
3.6%
Other values (89) 727
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1102
58.9%
Space Separator 315
 
16.8%
Decimal Number 277
 
14.8%
Close Punctuation 68
 
3.6%
Open Punctuation 68
 
3.6%
Other Punctuation 24
 
1.3%
Dash Punctuation 13
 
0.7%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 169
15.3%
로 166
15.1%
동 81
 
7.4%
서 71
 
6.4%
시 70
 
6.4%
특 68
 
6.2%
별 68
 
6.2%
울 68
 
6.2%
길 27
 
2.5%
오 19
 
1.7%
Other values (69) 295
26.8%
Decimal Number
ValueCountFrequency (%)
1 51
18.4%
2 40
14.4%
5 38
13.7%
4 28
10.1%
3 26
9.4%
0 25
9.0%
7 20
 
7.2%
8 17
 
6.1%
6 17
 
6.1%
9 15
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
K 1
25.0%
S 1
25.0%
C 1
25.0%
B 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 23
95.8%
@ 1
 
4.2%
Space Separator
ValueCountFrequency (%)
315
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1102
58.9%
Common 765
40.9%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 169
15.3%
로 166
15.1%
동 81
 
7.4%
서 71
 
6.4%
시 70
 
6.4%
특 68
 
6.2%
별 68
 
6.2%
울 68
 
6.2%
길 27
 
2.5%
오 19
 
1.7%
Other values (69) 295
26.8%
Common
ValueCountFrequency (%)
315
41.2%
) 68
 
8.9%
( 68
 
8.9%
1 51
 
6.7%
2 40
 
5.2%
5 38
 
5.0%
4 28
 
3.7%
3 26
 
3.4%
0 25
 
3.3%
, 23
 
3.0%
Other values (6) 83
 
10.8%
Latin
ValueCountFrequency (%)
K 1
25.0%
S 1
25.0%
C 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1102
58.9%
ASCII 769
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
315
41.0%
) 68
 
8.8%
( 68
 
8.8%
1 51
 
6.6%
2 40
 
5.2%
5 38
 
4.9%
4 28
 
3.6%
3 26
 
3.4%
0 25
 
3.3%
, 23
 
3.0%
Other values (10) 87
 
11.3%
Hangul
ValueCountFrequency (%)
구 169
15.3%
로 166
15.1%
동 81
 
7.4%
서 71
 
6.4%
시 70
 
6.4%
특 68
 
6.2%
별 68
 
6.2%
울 68
 
6.2%
길 27
 
2.5%
오 19
 
1.7%
Other values (69) 295
26.8%

도로명우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size844.0 B
<NA>
87 
8353
 
1
8269
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 87
97.8%
8353 1
 
1.1%
8269 1
 
1.1%

Length

2024-05-11T14:52:03.711748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:52:03.891055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
97.8%
8353 1
 
1.1%
8269 1
 
1.1%

사업장명
Text

Distinct80
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size844.0 B
2024-05-11T14:52:04.289791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length7.1460674
Min length3

Characters and Unicode

Total characters636
Distinct characters136
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)80.9%

Sample

1st row신신석유
2nd row고려석유
3rd row(주)신강석유
4th row구로주유소
5th row에이치디현대오일뱅크(주) 직영 구로셀프주유소
ValueCountFrequency (%)
동일석유 3
 
2.8%
고척주유소 3
 
2.8%
인그레스 2
 
1.9%
안성석유 2
 
1.9%
sk네트웍스(주 2
 
1.9%
주식회사 2
 
1.9%
직영 2
 
1.9%
에이치디현대오일뱅크(주 2
 
1.9%
주)호성켐테크 2
 
1.9%
동아주유소 2
 
1.9%
Other values (83) 86
79.6%
2024-05-11T14:52:04.937817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 67
 
10.5%
유 66
 
10.4%
소 34
 
5.3%
) 31
 
4.9%
( 31
 
4.9%
석 28
 
4.4%
19
 
3.0%
에 13
 
2.0%
동 13
 
2.0%
성 12
 
1.9%
Other values (126) 322
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 541
85.1%
Close Punctuation 31
 
4.9%
Open Punctuation 31
 
4.9%
Space Separator 19
 
3.0%
Uppercase Letter 14
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 67
 
12.4%
유 66
 
12.2%
소 34
 
6.3%
석 28
 
5.2%
에 13
 
2.4%
동 13
 
2.4%
성 12
 
2.2%
일 12
 
2.2%
대 10
 
1.8%
신 10
 
1.8%
Other values (116) 276
51.0%
Uppercase Letter
ValueCountFrequency (%)
S 4
28.6%
K 4
28.6%
C 2
14.3%
R 1
 
7.1%
J 1
 
7.1%
H 1
 
7.1%
G 1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 541
85.1%
Common 81
 
12.7%
Latin 14
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 67
 
12.4%
유 66
 
12.2%
소 34
 
6.3%
석 28
 
5.2%
에 13
 
2.4%
동 13
 
2.4%
성 12
 
2.2%
일 12
 
2.2%
대 10
 
1.8%
신 10
 
1.8%
Other values (116) 276
51.0%
Latin
ValueCountFrequency (%)
S 4
28.6%
K 4
28.6%
C 2
14.3%
R 1
 
7.1%
J 1
 
7.1%
H 1
 
7.1%
G 1
 
7.1%
Common
ValueCountFrequency (%)
) 31
38.3%
( 31
38.3%
19
23.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 541
85.1%
ASCII 95
 
14.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 67
 
12.4%
유 66
 
12.2%
소 34
 
6.3%
석 28
 
5.2%
에 13
 
2.4%
동 13
 
2.4%
성 12
 
2.2%
일 12
 
2.2%
대 10
 
1.8%
신 10
 
1.8%
Other values (116) 276
51.0%
ASCII
ValueCountFrequency (%)
) 31
32.6%
( 31
32.6%
19
20.0%
S 4
 
4.2%
K 4
 
4.2%
C 2
 
2.1%
R 1
 
1.1%
J 1
 
1.1%
H 1
 
1.1%
G 1
 
1.1%

최종수정일자
Date

Distinct82
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
Minimum2001-01-10 00:00:00
Maximum2024-04-18 17:30:09
2024-05-11T14:52:05.200387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:52:05.490040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
I
64 
U
25 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 64
71.9%
U 25
 
28.1%

Length

2024-05-11T14:52:05.730623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:52:05.927341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 64
71.9%
u 25
 
28.1%

데이터갱신일자
Categorical

IMBALANCE 

Distinct26
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
2018-08-31 23:59:59.0
64 
2022-12-04 00:06:00.0
 
1
2021-12-04 02:40:00.0
 
1
2021-12-25 02:40:00.0
 
1
2020-02-26 02:40:00.0
 
1
Other values (21)
21 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique25 ?
Unique (%)28.1%

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 row2022-12-04 00:06:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 64
71.9%
2022-12-04 00:06:00.0 1
 
1.1%
2021-12-04 02:40:00.0 1
 
1.1%
2021-12-25 02:40:00.0 1
 
1.1%
2020-02-26 02:40:00.0 1
 
1.1%
2020-04-08 02:40:00.0 1
 
1.1%
2022-12-04 00:02:00.0 1
 
1.1%
2023-12-03 00:07:00.0 1
 
1.1%
2021-12-04 22:01:00.0 1
 
1.1%
2022-12-03 21:00:00.0 1
 
1.1%
Other values (16) 16
 
18.0%

Length

2024-05-11T14:52:06.094254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 64
36.0%
23:59:59.0 64
36.0%
02:40:00.0 7
 
3.9%
2023-12-03 3
 
1.7%
2022-12-04 3
 
1.7%
22:00:00.0 2
 
1.1%
2021-12-07 2
 
1.1%
00:07:00.0 2
 
1.1%
2021-12-04 2
 
1.1%
2022-10-31 2
 
1.1%
Other values (27) 27
15.2%

업태구분명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size844.0 B
주유소
38 
일반판매소
30 
용제판매소
21 

Length

Max length5
Median length5
Mean length4.1460674
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주유소 38
42.7%
일반판매소 30
33.7%
용제판매소 21
23.6%

Length

2024-05-11T14:52:06.317421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:52:06.538603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 38
42.7%
일반판매소 30
33.7%
용제판매소 21
23.6%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct69
Distinct (%)92.0%
Missing14
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean188948.88
Minimum184365.25
Maximum211897.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2024-05-11T14:52:06.763035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184365.25
5-th percentile184909.37
Q1186940.3
median189134.15
Q3190036.4
95-th percentile191035.64
Maximum211897.89
Range27532.641
Interquartile range (IQR)3096.1025

Descriptive statistics

Standard deviation3877.6565
Coefficient of variation (CV)0.020522252
Kurtosis18.307656
Mean188948.88
Median Absolute Deviation (MAD)1288.5619
Skewness3.6067702
Sum14171166
Variance15036220
MonotonicityNot monotonic
2024-05-11T14:52:07.063270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187511.867564721 2
 
2.2%
189277.761702183 2
 
2.2%
187619.596959162 2
 
2.2%
185865.692074967 2
 
2.2%
189929.812741568 2
 
2.2%
190484.092606405 2
 
2.2%
189297.50728825 1
 
1.1%
190263.722813994 1
 
1.1%
191071.053855155 1
 
1.1%
189338.506844182 1
 
1.1%
Other values (59) 59
66.3%
(Missing) 14
 
15.7%
ValueCountFrequency (%)
184365.252783312 1
1.1%
184600.153821614 1
1.1%
184711.224035823 1
1.1%
184808.496072558 1
1.1%
184952.605394682 1
1.1%
185162.736541527 1
1.1%
185642.210120743 1
1.1%
185659.520880086 1
1.1%
185729.876357271 1
1.1%
185826.473238857 1
1.1%
ValueCountFrequency (%)
211897.894004195 1
1.1%
203196.800963466 1
1.1%
198699.090172249 1
1.1%
191071.053855155 1
1.1%
191020.468454034 1
1.1%
190484.092606405 2
2.2%
190422.716386898 1
1.1%
190410.047738361 1
1.1%
190375.874205426 1
1.1%
190371.483791734 1
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct69
Distinct (%)92.0%
Missing14
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean443943.84
Minimum441987.22
Maximum455429.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2024-05-11T14:52:07.326673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441987.22
5-th percentile442177.81
Q1443352.34
median443850.86
Q3444438.63
95-th percentile445093.72
Maximum455429.85
Range13442.623
Interquartile range (IQR)1086.2893

Descriptive statistics

Standard deviation1585.5764
Coefficient of variation (CV)0.0035715698
Kurtosis37.486867
Mean443943.84
Median Absolute Deviation (MAD)574.29113
Skewness5.1468725
Sum33295788
Variance2514052.6
MonotonicityNot monotonic
2024-05-11T14:52:07.948915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444952.759288744 2
 
2.2%
444671.551731639 2
 
2.2%
444186.923109714 2
 
2.2%
443375.834319473 2
 
2.2%
442390.554238805 2
 
2.2%
443188.972523387 2
 
2.2%
444485.286134553 1
 
1.1%
443850.860193572 1
 
1.1%
442153.43388126 1
 
1.1%
445125.18114372 1
 
1.1%
Other values (59) 59
66.3%
(Missing) 14
 
15.7%
ValueCountFrequency (%)
441987.223126688 1
1.1%
442002.997913478 1
1.1%
442095.3475487 1
1.1%
442153.43388126 1
1.1%
442188.259924954 1
1.1%
442376.915580303 1
1.1%
442390.554238805 2
2.2%
442513.948952414 1
1.1%
442667.211645731 1
1.1%
442673.231987851 1
1.1%
ValueCountFrequency (%)
455429.846270094 1
1.1%
445444.179659778 1
1.1%
445434.100899385 1
1.1%
445125.18114372 1
1.1%
445080.243046307 1
1.1%
444952.759288744 2
2.2%
444921.078748984 1
1.1%
444898.367647601 1
1.1%
444777.9974843 1
1.1%
444762.149836665 1
1.1%

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

거래처
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing89
Missing (%)100.0%
Memory size933.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
03160000196031600710120001419600623<NA>3폐업3폐지20160422<NA><NA><NA>02 864 8874<NA><NA>서울특별시 구로구 구로동 551-95서울특별시 구로구 구로중앙로32가길 44 (구로동)<NA>신신석유2016-04-22 13:47:42I2018-08-31 23:59:59.0일반판매소189752.097853444324.68002<NA><NA>
13160000197031600710120002419701014<NA>3폐업3폐지<NA><NA><NA><NA>02 685 9005<NA><NA>서울특별시 구로구 고척동 51-1 현대상가 7동 102호서울특별시 구로구 중앙로10길 21, 7동 102호 (고척동,현대상가)<NA>고려석유2002-08-06 00:00:00I2018-08-31 23:59:59.0일반판매소187826.204807444623.144373<NA><NA>
23160000197031600710150000119700704<NA>1영업/정상1신규등록<NA><NA><NA><NA>02261266903057.0<NA>서울특별시 구로구 오류동 115-1<NA><NA>(주)신강석유2001-07-27 00:00:00I2018-08-31 23:59:59.0주유소<NA><NA><NA><NA>
33160000197031600710150000219700815<NA>1영업/정상1신규등록<NA><NA><NA><NA>028571 2511130.0<NA>서울특별시 구로구 구로동 754-4 754-5,754-6,754-7,754-10서울특별시 구로구 구로동로 137 (구로동,754-5,754-6,754-7,754-10)<NA>구로주유소2018-02-19 15:57:19I2018-08-31 23:59:59.0주유소189640.439313443202.094425<NA><NA>
4316000019733160071015000031973-09-28<NA>1영업/정상6휴지사업재개<NA>2012-01-012012-08-312012-09-0302 85611351687.3<NA>서울특별시 구로구 구로동 1131-4서울특별시 구로구 시흥대로 531 (구로동)<NA>에이치디현대오일뱅크(주) 직영 구로셀프주유소2023-04-04 13:17:50U2022-12-04 00:06:00.0주유소191020.468454442095.347549<NA><NA>
53160000197631600710150000519760429<NA>3폐업3폐지20211216<NA><NA><NA>02261289581439.0<NA>서울특별시 구로구 고척동 76-74서울특별시 구로구 경인로 407 (고척동)<NA>정은주유소2021-12-02 14:23:35U2021-12-04 02:40:00.0주유소187957.693052444020.596611<NA><NA>
63160000197631600710150000719760528<NA>1영업/정상7영업개시<NA>2011071520110930<NA>02 6796722826.0<NA>서울특별시 구로구 신도림동 361서울특별시 구로구 경인로 650 (신도림동)<NA>대성산업(주) 디큐브주유소2021-12-23 09:39:15U2021-12-25 02:40:00.0주유소189946.893453445080.243046<NA><NA>
73160000197631600710150001519760518<NA>1영업/정상6휴지사업재개<NA><NA><NA>2020022102261951891457.8<NA>서울특별시 구로구 개봉동 359-1 SK대원주유소서울특별시 구로구 개봉로 7, SK대원주유소 (개봉동)8353(주)새서울석유 대원2020-02-24 13:27:24U2020-02-26 02:40:00.0주유소187208.531238442673.231988<NA><NA>
83160000197631600710150001619760519<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 67750101442.0<NA>서울특별시 구로구 구로동 602-6서울특별시 구로구 경인로 558 (구로동)<NA>구인주유소2020-04-06 10:37:08U2020-04-08 02:40:00.0주유소189297.507288444485.286135<NA><NA>
93160000198531600710120002219850311<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 855 8948<NA><NA>서울특별시 구로구 가리봉동 9-1<NA><NA>제일석유2001-01-26 00:00:00I2018-08-31 23:59:59.0일반판매소<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
793160000200631600930150000120060206<NA>3폐업3폐지<NA><NA><NA><NA>02 8550308<NA><NA>서울특별시 서초구 반포동 1127 15통1반 반포아파트 1동 503호서울특별시 서초구 신반포로 32, 1동 503호 (반포동,반포아파트)<NA>주식회사 인그레스2007-06-21 00:00:00I2018-08-31 23:59:59.0용제판매소198699.090172444226.19176<NA><NA>
803160000200631600930150000220060607<NA>1영업/정상1신규등록<NA><NA><NA><NA>0226882231<NA><NA>서울특별시 성북구 종암동 104-1 7통4반 에스케이아파트 102동 308호서울특별시 성북구 종암로24가길 53, 102동 308호 (종암동,에스케이아파트)<NA>철석주유소2018-07-31 15:29:00I2018-08-31 23:59:59.0주유소203196.800963455429.84627<NA><NA>
813160000200631601170150000120060206<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 8550308<NA><NA>서울특별시 구로구 구로동 52<NA><NA>주식회사 인그레스2007-07-07 18:11:25I2018-08-31 23:59:59.0용제판매소<NA><NA><NA><NA>
82316000020063160117015000022006-11-02<NA>1영업/정상7영업개시<NA><NA><NA><NA>0226165189733.0<NA>서울특별시 구로구 개봉동 226-1서울특별시 구로구 경인로 290 (개봉동)<NA>지에스칼텍스(주) 개봉동주유소2024-04-18 17:30:09U2023-12-03 22:00:00.0주유소186875.612136443947.447073<NA><NA>
833160000200731601170150000120070124<NA>1영업/정상1신규등록<NA><NA><NA><NA>0226787960<NA><NA>서울특별시 구로구 구로동 604-1 공구상가 A블록 4-202호<NA><NA>(주)무사화학2007-01-30 00:00:00I2018-08-31 23:59:59.0용제판매소189277.761702444671.551732<NA><NA>
843160000200731601170150000220070515<NA>1영업/정상1신규등록<NA><NA><NA><NA>8575593<NA><NA>서울특별시 구로구 구로동 106-4서울특별시 구로구 공원로 3 (구로동)<NA>(주)쏠켐2007-05-18 00:00:00I2018-08-31 23:59:59.0용제판매소190410.047738443953.502895<NA><NA>
853160000200731601170150000320071106<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 26363955<NA><NA>서울특별시 구로구 구로동 614-33서울특별시 구로구 구로중앙로 237 (구로동)<NA>GRC2007-11-06 16:21:17I2018-08-31 23:59:59.0용제판매소188907.966109444898.367648<NA><NA>
863160000200731601170150000420071212<NA>1영업/정상1신규등록<NA><NA><NA><NA>66793585<NA><NA>서울특별시 구로구 구로동 중앙유통상가 D동 13-01호<NA><NA>한승케미닉스2007-12-12 17:04:33I2018-08-31 23:59:59.0용제판매소<NA><NA><NA><NA>
873160000201131601740120000120110131<NA>3폐업3폐지<NA><NA><NA><NA>02 6094742920.0<NA>서울특별시 구로구 구로동 614-183<NA><NA>방배에너지2013-06-28 17:18:12I2018-08-31 23:59:59.0일반판매소188834.420877444762.149837<NA><NA>
883160000201731602030150000120170307<NA>1영업/정상7영업개시<NA><NA><NA><NA><NA>1311.0<NA>서울특별시 구로구 항동 72 74번지서울특별시 구로구 서해안로 2154 (항동)<NA>극동유화(주) 항동주유소2021-01-20 20:06:35U2021-01-22 02:40:00.0주유소184711.224036442376.91558<NA><NA>