Overview

Dataset statistics

Number of variables27
Number of observations100
Missing cells819
Missing cells (%)30.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.5 KiB
Average record size in memory230.3 B

Variable types

Categorical9
Numeric5
DateTime5
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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-19059/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
도로명우편번호 is highly imbalanced (86.1%)Imbalance
데이터갱신일자 is highly imbalanced (52.3%)Imbalance
인허가취소일자 has 100 (100.0%) missing valuesMissing
폐업일자 has 39 (39.0%) missing valuesMissing
휴업시작일자 has 94 (94.0%) missing valuesMissing
휴업종료일자 has 94 (94.0%) missing valuesMissing
재개업일자 has 92 (92.0%) missing valuesMissing
소재지면적 has 66 (66.0%) missing valuesMissing
소재지우편번호 has 100 (100.0%) missing valuesMissing
도로명주소 has 14 (14.0%) missing valuesMissing
좌표정보(X) has 10 (10.0%) missing valuesMissing
좌표정보(Y) has 10 (10.0%) missing valuesMissing
자본금 has 100 (100.0%) missing valuesMissing
거래처 has 100 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
전화번호 has unique valuesUnique
최종수정일자 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 08:58:45.298883
Analysis finished2024-05-11 08:58:46.511414
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
3070000
100 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 100
100.0%

Length

2024-05-11T08:58:46.852153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:58:47.257238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 100
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.985417 × 1018
Minimum1.968307 × 1018
Maximum2.007307 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T08:58:48.140231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968307 × 1018
5-th percentile1.969307 × 1018
Q11.976307 × 1018
median1.986307 × 1018
Q31.993307 × 1018
95-th percentile1.999307 × 1018
Maximum2.007307 × 1018
Range3.9000004 × 1016
Interquartile range (IQR)1.7 × 1016

Descriptive statistics

Standard deviation9.8625863 × 1015
Coefficient of variation (CV)0.0049675138
Kurtosis-1.168699
Mean1.985417 × 1018
Median Absolute Deviation (MAD)9 × 1015
Skewness-0.082631727
Sum-4.3724838 × 1018
Variance9.7270609 × 1031
MonotonicityStrictly increasing
2024-05-11T08:58:48.646337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1968307009901200001 1
 
1.0%
1991307013401200002 1
 
1.0%
1993307009901500005 1
 
1.0%
1993307009901500004 1
 
1.0%
1993307009901500003 1
 
1.0%
1993307009901500002 1
 
1.0%
1993307009901500001 1
 
1.0%
1992307009901500004 1
 
1.0%
1992307009901500003 1
 
1.0%
1992307009901500002 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1968307009901200001 1
1.0%
1968307009901200002 1
1.0%
1968307009901200003 1
1.0%
1969307009901200001 1
1.0%
1969307009901200002 1
1.0%
1969307009901200004 1
1.0%
1970307009901200001 1
1.0%
1970307009901200002 1
1.0%
1971307009901200001 1
1.0%
1971307009901200002 1
1.0%
ValueCountFrequency (%)
2007307013401500001 1
1.0%
2003307009901200001 1
1.0%
2001307013401200001 1
1.0%
2000307009901500001 1
1.0%
1999307009901500001 1
1.0%
1999307009901200001 1
1.0%
1998307009901200002 1
1.0%
1998307009901200001 1
1.0%
1997307009901200002 1
1.0%
1997307009901200001 1
1.0%

인허가일자
Date

Distinct93
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum1968-08-08 00:00:00
Maximum2007-07-05 00:00:00
2024-05-11T08:58:49.150055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:58:49.678818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
3
65 
1
34 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 65
65.0%
1 34
34.0%
4 1
 
1.0%

Length

2024-05-11T08:58:50.149444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:58:50.725812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 65
65.0%
1 34
34.0%
4 1
 
1.0%

영업상태명
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
폐업
65 
영업/정상
34 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.14
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 65
65.0%
영업/정상 34
34.0%
취소/말소/만료/정지/중지 1
 
1.0%

Length

2024-05-11T08:58:51.048156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:58:51.382501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 65
65.0%
영업/정상 34
34.0%
취소/말소/만료/정지/중지 1
 
1.0%

상세영업상태코드
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
3
65 
7
18 
1
9 
6
7 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 65
65.0%
7 18
 
18.0%
1 9
 
9.0%
6 7
 
7.0%
2 1
 
1.0%

Length

2024-05-11T08:58:51.796245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:58:52.230040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 65
65.0%
7 18
 
18.0%
1 9
 
9.0%
6 7
 
7.0%
2 1
 
1.0%

상세영업상태명
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
폐지
65 
영업개시
18 
신규등록
9 
휴지사업재개
7 
등록취소
 
1

Length

Max length6
Median length2
Mean length2.84
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐지 65
65.0%
영업개시 18
 
18.0%
신규등록 9
 
9.0%
휴지사업재개 7
 
7.0%
등록취소 1
 
1.0%

Length

2024-05-11T08:58:52.829337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:58:53.354988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 65
65.0%
영업개시 18
 
18.0%
신규등록 9
 
9.0%
휴지사업재개 7
 
7.0%
등록취소 1
 
1.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)49.2%
Missing39
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean20094372
Minimum20040423
Maximum20220602
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T08:58:53.805696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040423
5-th percentile20061010
Q120080101
median20080101
Q320090710
95-th percentile20170831
Maximum20220602
Range180179
Interquartile range (IQR)10609

Descriptive statistics

Standard deviation36060.868
Coefficient of variation (CV)0.0017945755
Kurtosis1.8840506
Mean20094372
Median Absolute Deviation (MAD)0
Skewness1.5289097
Sum1.2257567 × 109
Variance1.3003862 × 109
MonotonicityNot monotonic
2024-05-11T08:58:54.374276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20080101 31
31.0%
20070704 2
 
2.0%
20070806 1
 
1.0%
20081107 1
 
1.0%
20060309 1
 
1.0%
20161006 1
 
1.0%
20150227 1
 
1.0%
20080516 1
 
1.0%
20040623 1
 
1.0%
20040423 1
 
1.0%
Other values (20) 20
20.0%
(Missing) 39
39.0%
ValueCountFrequency (%)
20040423 1
1.0%
20040623 1
1.0%
20060309 1
1.0%
20061010 1
1.0%
20061124 1
1.0%
20070405 1
1.0%
20070704 2
2.0%
20070806 1
1.0%
20070904 1
1.0%
20071011 1
1.0%
ValueCountFrequency (%)
20220602 1
1.0%
20171226 1
1.0%
20171020 1
1.0%
20170831 1
1.0%
20161115 1
1.0%
20161006 1
1.0%
20151028 1
1.0%
20150721 1
1.0%
20150227 1
1.0%
20140926 1
1.0%

휴업시작일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing94
Missing (%)94.0%
Memory size932.0 B
Minimum2011-01-03 00:00:00
Maximum2019-05-31 00:00:00
2024-05-11T08:58:54.996773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:58:55.461736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업종료일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing94
Missing (%)94.0%
Memory size932.0 B
Minimum2011-02-28 00:00:00
Maximum2019-10-31 00:00:00
2024-05-11T08:58:55.976891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:58:56.450007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

재개업일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing92
Missing (%)92.0%
Memory size932.0 B
Minimum2011-03-08 00:00:00
Maximum2020-11-25 00:00:00
2024-05-11T08:58:56.902719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:58:57.370106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

전화번호
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-05-11T08:58:57.920130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.14
Min length7

Characters and Unicode

Total characters1114
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

Unique100 ?
Unique (%)100.0%

Sample

1st row02 918 3322
2nd row02 915 3542
3rd row02 913 7006
4th row02 762 0500
5th row02 926 8188
ValueCountFrequency (%)
02 97
38.0%
926 6
 
2.4%
913 5
 
2.0%
912 4
 
1.6%
915 4
 
1.6%
914 4
 
1.6%
962 3
 
1.2%
918 3
 
1.2%
916 2
 
0.8%
765 2
 
0.8%
Other values (121) 125
49.0%
2024-05-11T08:58:59.072725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
215
19.3%
2 170
15.3%
0 158
14.2%
9 139
12.5%
1 108
9.7%
6 68
 
6.1%
5 67
 
6.0%
4 62
 
5.6%
3 49
 
4.4%
8 43
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 899
80.7%
Space Separator 215
 
19.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 170
18.9%
0 158
17.6%
9 139
15.5%
1 108
12.0%
6 68
 
7.6%
5 67
 
7.5%
4 62
 
6.9%
3 49
 
5.5%
8 43
 
4.8%
7 35
 
3.9%
Space Separator
ValueCountFrequency (%)
215
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1114
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
215
19.3%
2 170
15.3%
0 158
14.2%
9 139
12.5%
1 108
9.7%
6 68
 
6.1%
5 67
 
6.0%
4 62
 
5.6%
3 49
 
4.4%
8 43
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1114
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
215
19.3%
2 170
15.3%
0 158
14.2%
9 139
12.5%
1 108
9.7%
6 68
 
6.1%
5 67
 
6.0%
4 62
 
5.6%
3 49
 
4.4%
8 43
 
3.9%

소재지면적
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing66
Missing (%)66.0%
Infinite0
Infinite (%)0.0%
Mean828.17735
Minimum182
Maximum1706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T08:58:59.448483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182
5-th percentile243.825
Q1555.26
median772.9
Q3986.5
95-th percentile1503.85
Maximum1706
Range1524
Interquartile range (IQR)431.24

Descriptive statistics

Standard deviation381.24051
Coefficient of variation (CV)0.4603368
Kurtosis-0.19318312
Mean828.17735
Median Absolute Deviation (MAD)221.16
Skewness0.53369459
Sum28158.03
Variance145344.33
MonotonicityNot monotonic
2024-05-11T08:58:59.853143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1331.95 1
 
1.0%
629.0 1
 
1.0%
878.4 1
 
1.0%
244.7 1
 
1.0%
182.0 1
 
1.0%
713.0 1
 
1.0%
1500.0 1
 
1.0%
970.0 1
 
1.0%
896.0 1
 
1.0%
856.8 1
 
1.0%
Other values (24) 24
 
24.0%
(Missing) 66
66.0%
ValueCountFrequency (%)
182.0 1
1.0%
242.2 1
1.0%
244.7 1
1.0%
465.0 1
1.0%
480.0 1
1.0%
487.0 1
1.0%
509.0 1
1.0%
512.0 1
1.0%
549.68 1
1.0%
572.0 1
1.0%
ValueCountFrequency (%)
1706.0 1
1.0%
1511.0 1
1.0%
1500.0 1
1.0%
1455.0 1
1.0%
1331.95 1
1.0%
1328.0 1
1.0%
1157.9 1
1.0%
1031.0 1
1.0%
992.0 1
1.0%
970.0 1
1.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

지번주소
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-05-11T08:59:00.445519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length20.82
Min length17

Characters and Unicode

Total characters2082
Distinct characters55
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

Unique96 ?
Unique (%)96.0%

Sample

1st row서울특별시 성북구 장위동 68-632
2nd row서울특별시 성북구 장위동 225-53
3rd row서울특별시 성북구 길음동 633-1
4th row서울특별시 성북구 성북동1가 133-56
5th row서울특별시 성북구 삼선동5가 92-1
ValueCountFrequency (%)
서울특별시 100
24.8%
성북구 100
24.8%
장위동 17
 
4.2%
길음동 12
 
3.0%
정릉동 11
 
2.7%
하월곡동 10
 
2.5%
종암동 9
 
2.2%
석관동 8
 
2.0%
상월곡동 5
 
1.2%
삼선동1가 4
 
1.0%
Other values (120) 128
31.7%
2024-05-11T08:59:01.497517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
385
18.5%
동 106
 
5.1%
성 103
 
4.9%
북 102
 
4.9%
서 100
 
4.8%
특 100
 
4.8%
별 100
 
4.8%
시 100
 
4.8%
구 100
 
4.8%
울 100
 
4.8%
Other values (45) 786
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1159
55.7%
Decimal Number 447
 
21.5%
Space Separator 385
 
18.5%
Dash Punctuation 89
 
4.3%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 106
9.1%
성 103
8.9%
북 102
8.8%
서 100
8.6%
특 100
8.6%
별 100
8.6%
시 100
8.6%
구 100
8.6%
울 100
8.6%
가 24
 
2.1%
Other values (31) 224
19.3%
Decimal Number
ValueCountFrequency (%)
1 98
21.9%
2 59
13.2%
3 58
13.0%
5 44
9.8%
4 40
8.9%
6 32
 
7.2%
0 31
 
6.9%
9 29
 
6.5%
7 28
 
6.3%
8 28
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
385
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1159
55.7%
Common 921
44.2%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 106
9.1%
성 103
8.9%
북 102
8.8%
서 100
8.6%
특 100
8.6%
별 100
8.6%
시 100
8.6%
구 100
8.6%
울 100
8.6%
가 24
 
2.1%
Other values (31) 224
19.3%
Common
ValueCountFrequency (%)
385
41.8%
1 98
 
10.6%
- 89
 
9.7%
2 59
 
6.4%
3 58
 
6.3%
5 44
 
4.8%
4 40
 
4.3%
6 32
 
3.5%
0 31
 
3.4%
9 29
 
3.1%
Other values (2) 56
 
6.1%
Latin
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1159
55.7%
ASCII 923
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
385
41.7%
1 98
 
10.6%
- 89
 
9.6%
2 59
 
6.4%
3 58
 
6.3%
5 44
 
4.8%
4 40
 
4.3%
6 32
 
3.5%
0 31
 
3.4%
9 29
 
3.1%
Other values (4) 58
 
6.3%
Hangul
ValueCountFrequency (%)
동 106
9.1%
성 103
8.9%
북 102
8.8%
서 100
8.6%
특 100
8.6%
별 100
8.6%
시 100
8.6%
구 100
8.6%
울 100
8.6%
가 24
 
2.1%
Other values (31) 224
19.3%

도로명주소
Text

MISSING 

Distinct86
Distinct (%)100.0%
Missing14
Missing (%)14.0%
Memory size932.0 B
2024-05-11T08:59:02.099819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length25.72093
Min length22

Characters and Unicode

Total characters2212
Distinct characters81
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

Unique86 ?
Unique (%)100.0%

Sample

1st row서울특별시 성북구 화랑로19가길 9 (장위동)
2nd row서울특별시 성북구 장위로 59 (장위동)
3rd row서울특별시 성북구 보문로31길 50 (삼선동5가)
4th row서울특별시 성북구 오패산로19길 20 (하월곡동)
5th row서울특별시 성북구 종암로19나길 5 (종암동)
ValueCountFrequency (%)
서울특별시 86
19.9%
성북구 86
19.9%
장위동 16
 
3.7%
정릉동 10
 
2.3%
하월곡동 8
 
1.9%
종암동 8
 
1.9%
길음동 7
 
1.6%
화랑로 7
 
1.6%
석관동 6
 
1.4%
상월곡동 5
 
1.2%
Other values (149) 193
44.7%
2024-05-11T08:59:03.171707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
389
 
17.6%
동 98
 
4.4%
성 88
 
4.0%
북 88
 
4.0%
서 86
 
3.9%
구 86
 
3.9%
( 86
 
3.9%
로 86
 
3.9%
울 86
 
3.9%
시 86
 
3.9%
Other values (71) 1033
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1331
60.2%
Space Separator 389
 
17.6%
Decimal Number 300
 
13.6%
Open Punctuation 86
 
3.9%
Close Punctuation 86
 
3.9%
Dash Punctuation 16
 
0.7%
Other Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 98
 
7.4%
성 88
 
6.6%
북 88
 
6.6%
서 86
 
6.5%
구 86
 
6.5%
로 86
 
6.5%
울 86
 
6.5%
시 86
 
6.5%
별 86
 
6.5%
특 86
 
6.5%
Other values (54) 455
34.2%
Decimal Number
ValueCountFrequency (%)
1 66
22.0%
2 42
14.0%
4 35
11.7%
5 27
9.0%
8 26
 
8.7%
7 26
 
8.7%
3 25
 
8.3%
6 23
 
7.7%
9 18
 
6.0%
0 12
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
G 1
50.0%
Space Separator
ValueCountFrequency (%)
389
100.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1331
60.2%
Common 879
39.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 98
 
7.4%
성 88
 
6.6%
북 88
 
6.6%
서 86
 
6.5%
구 86
 
6.5%
로 86
 
6.5%
울 86
 
6.5%
시 86
 
6.5%
별 86
 
6.5%
특 86
 
6.5%
Other values (54) 455
34.2%
Common
ValueCountFrequency (%)
389
44.3%
( 86
 
9.8%
) 86
 
9.8%
1 66
 
7.5%
2 42
 
4.8%
4 35
 
4.0%
5 27
 
3.1%
8 26
 
3.0%
7 26
 
3.0%
3 25
 
2.8%
Other values (5) 71
 
8.1%
Latin
ValueCountFrequency (%)
S 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1331
60.2%
ASCII 881
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
389
44.2%
( 86
 
9.8%
) 86
 
9.8%
1 66
 
7.5%
2 42
 
4.8%
4 35
 
4.0%
5 27
 
3.1%
8 26
 
3.0%
7 26
 
3.0%
3 25
 
2.8%
Other values (7) 73
 
8.3%
Hangul
ValueCountFrequency (%)
동 98
 
7.4%
성 88
 
6.6%
북 88
 
6.6%
서 86
 
6.5%
구 86
 
6.5%
로 86
 
6.5%
울 86
 
6.5%
시 86
 
6.5%
별 86
 
6.5%
특 86
 
6.5%
Other values (54) 455
34.2%

도로명우편번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
96 
2729
 
1
2768
 
1
2717
 
1
2740
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique4 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 96
96.0%
2729 1
 
1.0%
2768 1
 
1.0%
2717 1
 
1.0%
2740 1
 
1.0%

Length

2024-05-11T08:59:03.602772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:59:03.900751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
96.0%
2729 1
 
1.0%
2768 1
 
1.0%
2717 1
 
1.0%
2740 1
 
1.0%

사업장명
Text

Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-05-11T08:59:04.516970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length4
Mean length6.8
Min length3

Characters and Unicode

Total characters680
Distinct characters135
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

Unique84 ?
Unique (%)84.0%

Sample

1st row만석상회
2nd row동방석유
3rd row칠보석유
4th row삼오석유
5th row삼선석유
ValueCountFrequency (%)
제일석유 4
 
3.4%
에이치디현대오일뱅크(주)직영 3
 
2.5%
동아석유 2
 
1.7%
이케이에너지(주 2
 
1.7%
대지석유 2
 
1.7%
대성석유 2
 
1.7%
바다석유 2
 
1.7%
lg석유 2
 
1.7%
동원석유 2
 
1.7%
지에스칼텍스(주)화랑주유소 1
 
0.8%
Other values (96) 96
81.4%
2024-05-11T08:59:05.748196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 85
 
12.5%
주 56
 
8.2%
석 55
 
8.1%
소 33
 
4.9%
( 23
 
3.4%
) 23
 
3.4%
지 23
 
3.4%
에 20
 
2.9%
18
 
2.6%
동 16
 
2.4%
Other values (125) 328
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 603
88.7%
Open Punctuation 23
 
3.4%
Close Punctuation 23
 
3.4%
Space Separator 18
 
2.6%
Uppercase Letter 10
 
1.5%
Decimal Number 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 85
 
14.1%
주 56
 
9.3%
석 55
 
9.1%
소 33
 
5.5%
지 23
 
3.8%
에 20
 
3.3%
동 16
 
2.7%
너 14
 
2.3%
대 13
 
2.2%
일 13
 
2.2%
Other values (116) 275
45.6%
Uppercase Letter
ValueCountFrequency (%)
K 3
30.0%
S 3
30.0%
L 2
20.0%
G 2
20.0%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 603
88.7%
Common 67
 
9.9%
Latin 10
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 85
 
14.1%
주 56
 
9.3%
석 55
 
9.1%
소 33
 
5.5%
지 23
 
3.8%
에 20
 
3.3%
동 16
 
2.7%
너 14
 
2.3%
대 13
 
2.2%
일 13
 
2.2%
Other values (116) 275
45.6%
Common
ValueCountFrequency (%)
( 23
34.3%
) 23
34.3%
18
26.9%
2 2
 
3.0%
1 1
 
1.5%
Latin
ValueCountFrequency (%)
K 3
30.0%
S 3
30.0%
L 2
20.0%
G 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 603
88.7%
ASCII 77
 
11.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 85
 
14.1%
주 56
 
9.3%
석 55
 
9.1%
소 33
 
5.5%
지 23
 
3.8%
에 20
 
3.3%
동 16
 
2.7%
너 14
 
2.3%
대 13
 
2.2%
일 13
 
2.2%
Other values (116) 275
45.6%
ASCII
ValueCountFrequency (%)
( 23
29.9%
) 23
29.9%
18
23.4%
K 3
 
3.9%
S 3
 
3.9%
2 2
 
2.6%
L 2
 
2.6%
G 2
 
2.6%
1 1
 
1.3%

최종수정일자
Date

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2001-01-31 00:00:00
Maximum2024-03-25 11:37:32
2024-05-11T08:59:06.333940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:59:06.902647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
I
70 
U
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 70
70.0%
U 30
30.0%

Length

2024-05-11T08:59:07.563622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:59:07.851348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 70
70.0%
u 30
30.0%

데이터갱신일자
Categorical

IMBALANCE 

Distinct23
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2018-08-31 23:59:59.0
70 
2021-08-05 02:40:00.0
 
4
2022-12-03 23:02:00.0
 
3
2023-12-02 22:07:00.0
 
3
2021-08-11 02:40:00.0
 
2
Other values (18)
18 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique18 ?
Unique (%)18.0%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 70
70.0%
2021-08-05 02:40:00.0 4
 
4.0%
2022-12-03 23:02:00.0 3
 
3.0%
2023-12-02 22:07:00.0 3
 
3.0%
2021-08-11 02:40:00.0 2
 
2.0%
2020-12-03 02:40:00.0 1
 
1.0%
2021-12-06 22:01:00.0 1
 
1.0%
2021-12-06 00:08:00.0 1
 
1.0%
2020-11-28 02:40:00.0 1
 
1.0%
2021-11-01 00:04:00.0 1
 
1.0%
Other values (13) 13
 
13.0%

Length

2024-05-11T08:59:08.142858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 70
35.0%
23:59:59.0 70
35.0%
02:40:00.0 11
 
5.5%
2021-08-05 4
 
2.0%
22:07:00.0 4
 
2.0%
2022-12-03 3
 
1.5%
23:02:00.0 3
 
1.5%
2023-12-02 3
 
1.5%
2022-10-30 3
 
1.5%
22:02:00.0 2
 
1.0%
Other values (20) 27
 
13.5%

업태구분명
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
일반판매소
63 
주유소
34 
용제판매소
 
3

Length

Max length5
Median length5
Mean length4.32
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반판매소 63
63.0%
주유소 34
34.0%
용제판매소 3
 
3.0%

Length

2024-05-11T08:59:08.619326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:59:08.962122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반판매소 63
63.0%
주유소 34
34.0%
용제판매소 3
 
3.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)97.8%
Missing10
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean202729.01
Minimum199682.74
Maximum205860.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T08:59:09.337744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199682.74
5-th percentile200686.24
Q1201684.45
median202696.16
Q3203787.89
95-th percentile205325.4
Maximum205860.89
Range6178.1561
Interquartile range (IQR)2103.4445

Descriptive statistics

Standard deviation1477.7341
Coefficient of variation (CV)0.0072892091
Kurtosis-0.77349687
Mean202729.01
Median Absolute Deviation (MAD)1083.5522
Skewness0.2403157
Sum18245610
Variance2183698.1
MonotonicityNot monotonic
2024-05-11T08:59:09.820760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203036.335305541 2
 
2.0%
200422.723883879 2
 
2.0%
203294.771453709 1
 
1.0%
204391.807321641 1
 
1.0%
202743.209062165 1
 
1.0%
201938.687020735 1
 
1.0%
205445.587881206 1
 
1.0%
204586.173111323 1
 
1.0%
204856.356598016 1
 
1.0%
201840.484453593 1
 
1.0%
Other values (78) 78
78.0%
(Missing) 10
 
10.0%
ValueCountFrequency (%)
199682.738269012 1
1.0%
200422.723883879 2
2.0%
200495.62 1
1.0%
200684.614303741 1
1.0%
200688.232138704 1
1.0%
200724.748765633 1
1.0%
200733.080845263 1
1.0%
200808.915165097 1
1.0%
200816.198963081 1
1.0%
200820.163726092 1
1.0%
ValueCountFrequency (%)
205860.894372582 1
1.0%
205741.992335686 1
1.0%
205640.953363377 1
1.0%
205445.587881206 1
1.0%
205353.853544067 1
1.0%
205290.619713896 1
1.0%
205273.387218831 1
1.0%
204988.106542092 1
1.0%
204856.356598016 1
1.0%
204586.173111323 1
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)97.8%
Missing10
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean455563.92
Minimum452838.98
Maximum457657.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T08:59:10.234030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452838.98
5-th percentile453510.07
Q1454725.74
median455871.87
Q3456433.97
95-th percentile457119.35
Maximum457657.55
Range4818.5667
Interquartile range (IQR)1708.2302

Descriptive statistics

Standard deviation1177.5382
Coefficient of variation (CV)0.0025847924
Kurtosis-0.68502321
Mean455563.92
Median Absolute Deviation (MAD)776.65542
Skewness-0.52614471
Sum41000753
Variance1386596.2
MonotonicityNot monotonic
2024-05-11T08:59:10.726005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455645.507124695 2
 
2.0%
453964.674296826 2
 
2.0%
456788.931001958 1
 
1.0%
456095.727283025 1
 
1.0%
453695.094107578 1
 
1.0%
456439.338552758 1
 
1.0%
456490.833442989 1
 
1.0%
456952.217251606 1
 
1.0%
456661.032084142 1
 
1.0%
455413.097467768 1
 
1.0%
Other values (78) 78
78.0%
(Missing) 10
 
10.0%
ValueCountFrequency (%)
452838.984369473 1
1.0%
453025.633585837 1
1.0%
453248.336465597 1
1.0%
453408.56070346 1
1.0%
453427.822997944 1
1.0%
453610.593616008 1
1.0%
453617.168015763 1
1.0%
453695.094107578 1
1.0%
453714.055304415 1
1.0%
453732.698295416 1
1.0%
ValueCountFrequency (%)
457657.551045206 1
1.0%
457655.24800449 1
1.0%
457292.467156231 1
1.0%
457182.323755606 1
1.0%
457138.9361293 1
1.0%
457095.412151301 1
1.0%
456952.217251606 1
1.0%
456951.239563471 1
1.0%
456853.804039096 1
1.0%
456828.052464485 1
1.0%

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

거래처
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
03070000196830700990120000119680808<NA>3폐업3폐지20080101<NA><NA><NA>02 918 3322<NA><NA>서울특별시 성북구 장위동 68-632서울특별시 성북구 화랑로19가길 9 (장위동)<NA>만석상회2008-07-23 13:49:36I2018-08-31 23:59:59.0일반판매소204371.447242456368.617798<NA><NA>
13070000196830700990120000219681107<NA>3폐업3폐지20080101<NA><NA><NA>02 915 3542<NA><NA>서울특별시 성북구 장위동 225-53서울특별시 성북구 장위로 59 (장위동)<NA>동방석유2008-07-23 13:49:13I2018-08-31 23:59:59.0일반판매소203763.341718456853.804039<NA><NA>
23070000196830700990120000319681119<NA>3폐업3폐지20080101<NA><NA><NA>02 913 7006<NA><NA>서울특별시 성북구 길음동 633-1<NA><NA>칠보석유2008-07-23 13:48:35I2018-08-31 23:59:59.0일반판매소<NA><NA><NA><NA>
33070000196930700990120000119690328<NA>3폐업3폐지20080101<NA><NA><NA>02 762 0500<NA><NA>서울특별시 성북구 성북동1가 133-56<NA><NA>삼오석유2008-07-23 13:48:08I2018-08-31 23:59:59.0일반판매소<NA><NA><NA><NA>
43070000196930700990120000219690827<NA>3폐업3폐지20080101<NA><NA><NA>02 926 8188<NA><NA>서울특별시 성북구 삼선동5가 92-1서울특별시 성북구 보문로31길 50 (삼선동5가)<NA>삼선석유2008-07-23 13:47:44I2018-08-31 23:59:59.0일반판매소201194.596458453929.095751<NA><NA>
53070000196930700990120000419691114<NA>3폐업3폐지20080101<NA><NA><NA>02 918 6925<NA><NA>서울특별시 성북구 하월곡동 81-297서울특별시 성북구 오패산로19길 20 (하월곡동)<NA>대성석유2008-07-23 13:46:17I2018-08-31 23:59:59.0일반판매소202996.679196456376.689861<NA><NA>
63070000197030700990120000119701216<NA>3폐업3폐지20080101<NA><NA><NA>02 926 8415<NA><NA>서울특별시 성북구 종암동 57-6서울특별시 성북구 종암로19나길 5 (종암동)<NA>제일석유2008-07-23 13:45:53I2018-08-31 23:59:59.0일반판매소202500.397351455065.196989<NA><NA>
73070000197030700990120000219701217<NA>3폐업3폐지20080101<NA><NA><NA>02 926 0634<NA><NA>서울특별시 성북구 안암동2가 127-1서울특별시 성북구 인촌로7가길 44 (안암동2가)<NA>동원석유2008-07-23 13:45:28I2018-08-31 23:59:59.0일반판매소201997.928088453832.166778<NA><NA>
83070000197130700990120000119710213<NA>3폐업3폐지20080101<NA><NA><NA>02 763 8978<NA><NA>서울특별시 성북구 삼선동1가 274-32서울특별시 성북구 삼선교로10다길 17 (삼선동1가)<NA>충북석유2008-07-23 13:44:29I2018-08-31 23:59:59.0일반판매소200724.748766453732.698295<NA><NA>
93070000197130700990120000219710220<NA>3폐업3폐지20061124<NA><NA><NA>02 914 1641<NA><NA>서울특별시 성북구 정릉동 685-11서울특별시 성북구 솔샘로6길 24-2 (정릉동)<NA>부흥석유2008-07-23 13:43:47I2018-08-31 23:59:59.0일반판매소200495.62456340.838<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
90307000019973070099012000011997-08-11<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 915 1916<NA><NA>서울특별시 성북구 장위동 233-592서울특별시 성북구 장위로 78-1 (장위동)<NA>경동석유2023-04-03 17:05:15U2022-12-04 00:05:00.0일반판매소203938.158095456828.052464<NA><NA>
91307000019973070099012000021997-12-24<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 962 0747<NA><NA>서울특별시 성북구 석관동 118-8서울특별시 성북구 한천로76나길 18-12 (석관동)<NA>현대석유2023-10-25 09:48:32U2022-10-30 22:07:00.0일반판매소205741.992336456584.920595<NA><NA>
923070000199830700990120000119980725<NA>3폐업3폐지20060309<NA><NA><NA>02 914 5067<NA><NA>서울특별시 성북구 정릉동 110-39서울특별시 성북구 정릉로36길 88 (정릉동)<NA>동원석유2008-07-23 13:22:10I2018-08-31 23:59:59.0일반판매소201154.095091455574.490859<NA><NA>
933070000199830700990120000219980813<NA>3폐업3폐지20081107<NA><NA><NA>02 926 3311<NA><NA>서울특별시 성북구 동소문동5가 38 32통6반서울특별시 성북구 보문로40길 19 (동소문동5가)<NA>제일석유2008-11-07 18:05:56I2018-08-31 23:59:59.0일반판매소201289.184761454722.648367<NA><NA>
943070000199930700990120000119990507<NA>3폐업3폐지20080101<NA><NA><NA>02 922 2047<NA><NA>서울특별시 성북구 장위동 231-509서울특별시 성북구 장위로 6-1 (장위동)<NA>동방1차에너지2008-07-23 13:20:52I2018-08-31 23:59:59.0일반판매소203276.980566456724.452339<NA><NA>
953070000199930700990150000119990617<NA>4취소/말소/만료/정지/중지2등록취소<NA><NA><NA><NA>02 5736158992.0<NA>서울특별시 성북구 하월곡동 67-50서울특별시 성북구 화랑로 27 (하월곡동)<NA>내부순환주유소2001-01-31 00:00:00I2018-08-31 23:59:59.0주유소203036.335306455645.507125<NA><NA>
963070000200030700990150000120000728<NA>3폐업3폐지20080101<NA><NA><NA>02 7431089<NA><NA>서울특별시 성북구 삼선동1가 12-1서울특별시 성북구 창경궁로 324 (삼선동1가)<NA>(주)덕인케미칼2008-07-23 13:53:43I2018-08-31 23:59:59.0용제판매소200422.723884453964.674297<NA><NA>
973070000200130701340120000120010410<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 9263313<NA><NA>서울특별시 성북구 안암동1가 354서울특별시 성북구 인촌로17가길 49-11 (안암동1가)<NA>유공에너지판매2020-04-27 14:39:37U2020-04-29 02:40:00.0일반판매소201982.498747454046.175909<NA><NA>
98307000020033070099012000011999-07-26<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 9655149<NA><NA>서울특별시 성북구 석관동 94-7서울특별시 성북구 한천로66길 49 (석관동)<NA>(주)동화오일2023-10-20 17:53:38U2022-10-30 22:02:00.0일반판매소205860.894373456088.894262<NA><NA>
993070000200730701340150000120070705<NA>1영업/정상7영업개시<NA><NA><NA><NA>02942 51501511.0<NA>서울특별시 성북구 하월곡동 67-50 효성주유소서울특별시 성북구 화랑로 27 (하월곡동)2740(주)명연에너지 효성주유소2019-11-27 17:55:50U2019-11-29 02:40:00.0주유소203036.335306455645.507125<NA><NA>