Overview

Dataset statistics

Number of variables27
Number of observations44
Missing cells362
Missing cells (%)30.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.9 KiB
Average record size in memory231.0 B

Variable types

Categorical10
Numeric4
Unsupported4
DateTime5
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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-19062/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
도로명우편번호 is highly imbalanced (71.2%)Imbalance
인허가취소일자 has 44 (100.0%) missing valuesMissing
폐업일자 has 33 (75.0%) missing valuesMissing
휴업시작일자 has 39 (88.6%) missing valuesMissing
휴업종료일자 has 39 (88.6%) missing valuesMissing
재개업일자 has 39 (88.6%) missing valuesMissing
전화번호 has 3 (6.8%) missing valuesMissing
소재지면적 has 24 (54.5%) missing valuesMissing
소재지우편번호 has 44 (100.0%) missing valuesMissing
도로명주소 has 3 (6.8%) missing valuesMissing
좌표정보(X) has 3 (6.8%) missing valuesMissing
좌표정보(Y) has 3 (6.8%) missing valuesMissing
자본금 has 44 (100.0%) missing valuesMissing
거래처 has 44 (100.0%) missing valuesMissing
관리번호 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 02:39:52.412166
Analysis finished2024-05-11 02:39:53.326574
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
3100000
44 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 44
100.0%

Length

2024-05-11T02:39:53.547545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:54.094643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 44
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0027191 × 1018
Minimum2.00131 × 1018
Maximum2.02031 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T02:39:54.663389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.00131 × 1018
5-th percentile2.00131 × 1018
Q12.00131 × 1018
median2.00131 × 1018
Q32.00131 × 1018
95-th percentile2.00716 × 1018
Maximum2.02031 × 1018
Range1.9000008 × 1016
Interquartile range (IQR)300032

Descriptive statistics

Standard deviation4.1277194 × 1015
Coefficient of variation (CV)0.0020610576
Kurtosis14.492796
Mean2.0027191 × 1018
Median Absolute Deviation (MAD)299264
Skewness3.7946477
Sum-4.1140799 × 1018
Variance1.7038068 × 1031
MonotonicityStrictly increasing
2024-05-11T02:39:55.579169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2001310009601200013 1
 
2.3%
2001310009601500096 1
 
2.3%
2001310009601500099 1
 
2.3%
2001310009601500910 1
 
2.3%
2001310009601500911 1
 
2.3%
2001310009601500914 1
 
2.3%
2001310009601500915 1
 
2.3%
2001310009601500917 1
 
2.3%
2001310009601500918 1
 
2.3%
2001310009601500919 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
2001310009601200013 1
2.3%
2001310009601200015 1
2.3%
2001310009601200095 1
2.3%
2001310009601200096 1
2.3%
2001310009601200097 1
2.3%
2001310009601200099 1
2.3%
2001310009601200902 1
2.3%
2001310009601200904 1
2.3%
2001310009601200910 1
2.3%
2001310009601200911 1
2.3%
ValueCountFrequency (%)
2020310017301200002 1
2.3%
2020310017301200001 1
2.3%
2007310010901500001 1
2.3%
2006310009601500001 1
2.3%
2005310009601500001 1
2.3%
2004310009601500001 1
2.3%
2003310009601200003 1
2.3%
2003310009601200002 1
2.3%
2003310009601200001 1
2.3%
2001310009601500923 1
2.3%

인허가일자
Categorical

Distinct19
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size484.0 B
20010510
13 
20010324
10 
2001-03-24
4 
20010503
2 
2001-12-27
 
1
Other values (14)
14 

Length

Max length10
Median length8
Mean length8.2727273
Min length8

Unique

Unique15 ?
Unique (%)34.1%

Sample

1st row20010312
2nd row20010321
3rd row20010510
4th row20010510
5th row20010510

Common Values

ValueCountFrequency (%)
20010510 13
29.5%
20010324 10
22.7%
2001-03-24 4
 
9.1%
20010503 2
 
4.5%
2001-12-27 1
 
2.3%
20010213 1
 
2.3%
2001-03-29 1
 
2.3%
20010514 1
 
2.3%
20010321 1
 
2.3%
20030124 1
 
2.3%
Other values (9) 9
20.5%

Length

2024-05-11T02:39:56.299857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20010510 13
29.5%
20010324 10
22.7%
2001-03-24 4
 
9.1%
20010503 2
 
4.5%
20050620 1
 
2.3%
20010312 1
 
2.3%
20031110 1
 
2.3%
20201119 1
 
2.3%
20060315 1
 
2.3%
20060616 1
 
2.3%
Other values (9) 9
20.5%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
23 
3
20 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 23
52.3%
3 20
45.5%
2 1
 
2.3%

Length

2024-05-11T02:39:56.956448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:57.392750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
52.3%
3 20
45.5%
2 1
 
2.3%

영업상태명
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
영업/정상
23 
폐업
20 
휴업
 
1

Length

Max length5
Median length5
Mean length3.5681818
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 23
52.3%
폐업 20
45.5%
휴업 1
 
2.3%

Length

2024-05-11T02:39:57.861018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:58.322780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 23
52.3%
폐업 20
45.5%
휴업 1
 
2.3%

상세영업상태코드
Categorical

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
3
20 
1
16 
6
6 
5
 
1
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
3 20
45.5%
1 16
36.4%
6 6
 
13.6%
5 1
 
2.3%
7 1
 
2.3%

Length

2024-05-11T02:39:58.674095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:59.035635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 20
45.5%
1 16
36.4%
6 6
 
13.6%
5 1
 
2.3%
7 1
 
2.3%

상세영업상태명
Categorical

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
폐지
20 
신규등록
16 
휴지사업재개
6 
사업휴지
 
1
영업개시
 
1

Length

Max length6
Median length4
Mean length3.3636364
Min length2

Unique

Unique2 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐지 20
45.5%
신규등록 16
36.4%
휴지사업재개 6
 
13.6%
사업휴지 1
 
2.3%
영업개시 1
 
2.3%

Length

2024-05-11T02:39:59.497982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:39:59.900302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 20
45.5%
신규등록 16
36.4%
휴지사업재개 6
 
13.6%
사업휴지 1
 
2.3%
영업개시 1
 
2.3%

폐업일자
Date

MISSING 

Distinct10
Distinct (%)90.9%
Missing33
Missing (%)75.0%
Memory size484.0 B
Minimum2009-05-21 00:00:00
Maximum2023-08-31 00:00:00
2024-05-11T02:40:00.386144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:40:00.874433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업시작일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing39
Missing (%)88.6%
Memory size484.0 B
Minimum2009-04-03 00:00:00
Maximum2023-03-03 00:00:00
2024-05-11T02:40:01.403795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:40:01.760230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴업종료일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing39
Missing (%)88.6%
Memory size484.0 B
Minimum2009-07-30 00:00:00
Maximum2023-06-30 00:00:00
2024-05-11T02:40:02.293046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:40:03.087558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

재개업일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing39
Missing (%)88.6%
Memory size484.0 B
Minimum2016-01-04 00:00:00
Maximum2021-12-20 00:00:00
2024-05-11T02:40:03.411424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:40:03.813548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

전화번호
Text

MISSING 

Distinct41
Distinct (%)100.0%
Missing3
Missing (%)6.8%
Memory size484.0 B
2024-05-11T02:40:04.388984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.121951
Min length10

Characters and Unicode

Total characters415
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

Unique41 ?
Unique (%)100.0%

Sample

1st row02972 1170
2nd row02 972 1170
3rd row02 9396967
4th row02 9365291
5th row02 9365944
ValueCountFrequency (%)
02 35
43.8%
9743838 2
 
2.5%
1170 2
 
2.5%
9170816 1
 
1.2%
9751385 1
 
1.2%
9164334 1
 
1.2%
9485151 1
 
1.2%
9326850 1
 
1.2%
9720006 1
 
1.2%
9198142 1
 
1.2%
Other values (34) 34
42.5%
2024-05-11T02:40:05.438108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 60
14.5%
0 58
14.0%
2 55
13.3%
42
10.1%
3 40
9.6%
5 31
7.5%
1 31
7.5%
6 27
6.5%
7 24
 
5.8%
4 24
 
5.8%
Other values (2) 23
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 371
89.4%
Space Separator 42
 
10.1%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 60
16.2%
0 58
15.6%
2 55
14.8%
3 40
10.8%
5 31
8.4%
1 31
8.4%
6 27
7.3%
7 24
 
6.5%
4 24
 
6.5%
8 21
 
5.7%
Space Separator
ValueCountFrequency (%)
42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 415
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 60
14.5%
0 58
14.0%
2 55
13.3%
42
10.1%
3 40
9.6%
5 31
7.5%
1 31
7.5%
6 27
6.5%
7 24
 
5.8%
4 24
 
5.8%
Other values (2) 23
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 415
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 60
14.5%
0 58
14.0%
2 55
13.3%
42
10.1%
3 40
9.6%
5 31
7.5%
1 31
7.5%
6 27
6.5%
7 24
 
5.8%
4 24
 
5.8%
Other values (2) 23
 
5.5%

소재지면적
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)90.0%
Missing24
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean1066.965
Minimum317
Maximum1876.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T02:40:05.907058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum317
5-th percentile442.4
Q1903
median1017.55
Q31171.25
95-th percentile1819.04
Maximum1876.8
Range1559.8
Interquartile range (IQR)268.25

Descriptive statistics

Standard deviation396.72852
Coefficient of variation (CV)0.37182899
Kurtosis0.44631678
Mean1066.965
Median Absolute Deviation (MAD)166
Skewness0.40486539
Sum21339.3
Variance157393.52
MonotonicityNot monotonic
2024-05-11T02:40:06.364667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1138.0 2
 
4.5%
960.0 2
 
4.5%
1214.0 1
 
2.3%
1654.0 1
 
2.3%
1072.0 1
 
2.3%
1816.0 1
 
2.3%
1157.0 1
 
2.3%
1876.8 1
 
2.3%
449.0 1
 
2.3%
1379.0 1
 
2.3%
Other values (8) 8
 
18.2%
(Missing) 24
54.5%
ValueCountFrequency (%)
317.0 1
2.3%
449.0 1
2.3%
699.4 1
2.3%
765.0 1
2.3%
825.0 1
2.3%
929.0 1
2.3%
955.0 1
2.3%
960.0 2
4.5%
977.1 1
2.3%
1058.0 1
2.3%
ValueCountFrequency (%)
1876.8 1
2.3%
1816.0 1
2.3%
1654.0 1
2.3%
1379.0 1
2.3%
1214.0 1
2.3%
1157.0 1
2.3%
1138.0 2
4.5%
1072.0 1
2.3%
1058.0 1
2.3%
977.1 1
2.3%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

지번주소
Text

Distinct42
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-05-11T02:40:06.823585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length32
Mean length21.863636
Min length17

Characters and Unicode

Total characters962
Distinct characters55
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

Unique40 ?
Unique (%)90.9%

Sample

1st row서울특별시 노원구 공릉동 517-2
2nd row서울특별시 노원구 공릉동 517-2
3rd row서울특별시 노원구 상계동 95-25
4th row서울특별시 노원구 상계동 91
5th row서울특별시 노원구 상계동 68-10
ValueCountFrequency (%)
서울특별시 44
23.7%
노원구 44
23.7%
상계동 20
10.8%
공릉동 12
 
6.5%
월계동 6
 
3.2%
하계동 5
 
2.7%
271-3 2
 
1.1%
극동,건영,벽산아파트 2
 
1.1%
517-2 2
 
1.1%
230-17 2
 
1.1%
Other values (46) 47
25.3%
2024-05-11T02:40:07.757485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
18.4%
동 46
 
4.8%
서 44
 
4.6%
특 44
 
4.6%
별 44
 
4.6%
시 44
 
4.6%
노 44
 
4.6%
원 44
 
4.6%
구 44
 
4.6%
울 44
 
4.6%
Other values (45) 387
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 524
54.5%
Decimal Number 211
21.9%
Space Separator 177
 
18.4%
Dash Punctuation 41
 
4.3%
Other Punctuation 7
 
0.7%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 46
8.8%
서 44
8.4%
특 44
8.4%
별 44
8.4%
시 44
8.4%
노 44
8.4%
원 44
8.4%
구 44
8.4%
울 44
8.4%
계 32
 
6.1%
Other values (30) 94
17.9%
Decimal Number
ValueCountFrequency (%)
1 41
19.4%
3 27
12.8%
2 24
11.4%
4 23
10.9%
6 21
10.0%
7 19
9.0%
9 18
8.5%
5 15
 
7.1%
0 14
 
6.6%
8 9
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
177
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 524
54.5%
Common 436
45.3%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 46
8.8%
서 44
8.4%
특 44
8.4%
별 44
8.4%
시 44
8.4%
노 44
8.4%
원 44
8.4%
구 44
8.4%
울 44
8.4%
계 32
 
6.1%
Other values (30) 94
17.9%
Common
ValueCountFrequency (%)
177
40.6%
- 41
 
9.4%
1 41
 
9.4%
3 27
 
6.2%
2 24
 
5.5%
4 23
 
5.3%
6 21
 
4.8%
7 19
 
4.4%
9 18
 
4.1%
5 15
 
3.4%
Other values (3) 30
 
6.9%
Latin
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 524
54.5%
ASCII 438
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
40.4%
- 41
 
9.4%
1 41
 
9.4%
3 27
 
6.2%
2 24
 
5.5%
4 23
 
5.3%
6 21
 
4.8%
7 19
 
4.3%
9 18
 
4.1%
5 15
 
3.4%
Other values (5) 32
 
7.3%
Hangul
ValueCountFrequency (%)
동 46
8.8%
서 44
8.4%
특 44
8.4%
별 44
8.4%
시 44
8.4%
노 44
8.4%
원 44
8.4%
구 44
8.4%
울 44
8.4%
계 32
 
6.1%
Other values (30) 94
17.9%

도로명주소
Text

MISSING 

Distinct38
Distinct (%)92.7%
Missing3
Missing (%)6.8%
Memory size484.0 B
2024-05-11T02:40:08.264380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length34
Mean length26.853659
Min length22

Characters and Unicode

Total characters1101
Distinct characters70
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

Unique35 ?
Unique (%)85.4%

Sample

1st row서울특별시 노원구 동일로184길 30 (공릉동)
2nd row서울특별시 노원구 동일로184길 30 (공릉동)
3rd row서울특별시 노원구 덕릉로102길 14 (상계동)
4th row서울특별시 노원구 덕릉로113길 15 (상계동)
5th row서울특별시 노원구 월계로44길 63 (월계동)
ValueCountFrequency (%)
서울특별시 41
19.0%
노원구 41
19.0%
상계동 18
 
8.3%
공릉동 12
 
5.6%
하계동 5
 
2.3%
동일로 5
 
2.3%
월계동 5
 
2.3%
공릉로 3
 
1.4%
화랑로 3
 
1.4%
노원로 2
 
0.9%
Other values (68) 81
37.5%
2024-05-11T02:40:09.144930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
 
17.2%
동 54
 
4.9%
노 48
 
4.4%
원 45
 
4.1%
서 41
 
3.7%
( 41
 
3.7%
특 41
 
3.7%
별 41
 
3.7%
시 41
 
3.7%
구 41
 
3.7%
Other values (60) 519
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 646
58.7%
Space Separator 189
 
17.2%
Decimal Number 166
 
15.1%
Open Punctuation 41
 
3.7%
Close Punctuation 41
 
3.7%
Other Punctuation 13
 
1.2%
Dash Punctuation 3
 
0.3%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 54
 
8.4%
노 48
 
7.4%
원 45
 
7.0%
서 41
 
6.3%
특 41
 
6.3%
별 41
 
6.3%
시 41
 
6.3%
구 41
 
6.3%
로 41
 
6.3%
울 41
 
6.3%
Other values (43) 212
32.8%
Decimal Number
ValueCountFrequency (%)
2 31
18.7%
1 30
18.1%
4 17
10.2%
3 17
10.2%
9 16
9.6%
0 13
7.8%
8 12
 
7.2%
6 10
 
6.0%
7 10
 
6.0%
5 10
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
189
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 646
58.7%
Common 453
41.1%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 54
 
8.4%
노 48
 
7.4%
원 45
 
7.0%
서 41
 
6.3%
특 41
 
6.3%
별 41
 
6.3%
시 41
 
6.3%
구 41
 
6.3%
로 41
 
6.3%
울 41
 
6.3%
Other values (43) 212
32.8%
Common
ValueCountFrequency (%)
189
41.7%
( 41
 
9.1%
) 41
 
9.1%
2 31
 
6.8%
1 30
 
6.6%
4 17
 
3.8%
3 17
 
3.8%
9 16
 
3.5%
0 13
 
2.9%
, 13
 
2.9%
Other values (5) 45
 
9.9%
Latin
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 646
58.7%
ASCII 455
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
41.5%
( 41
 
9.0%
) 41
 
9.0%
2 31
 
6.8%
1 30
 
6.6%
4 17
 
3.7%
3 17
 
3.7%
9 16
 
3.5%
0 13
 
2.9%
, 13
 
2.9%
Other values (7) 47
 
10.3%
Hangul
ValueCountFrequency (%)
동 54
 
8.4%
노 48
 
7.4%
원 45
 
7.0%
서 41
 
6.3%
특 41
 
6.3%
별 41
 
6.3%
시 41
 
6.3%
구 41
 
6.3%
로 41
 
6.3%
울 41
 
6.3%
Other values (43) 212
32.8%

도로명우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
40 
1776
 
2
1887
 
1
1817
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 40
90.9%
1776 2
 
4.5%
1887 1
 
2.3%
1817 1
 
2.3%

Length

2024-05-11T02:40:09.537011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:40:09.892736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
90.9%
1776 2
 
4.5%
1887 1
 
2.3%
1817 1
 
2.3%

사업장명
Text

Distinct39
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-05-11T02:40:10.376067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.8863636
Min length4

Characters and Unicode

Total characters303
Distinct characters81
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

Unique34 ?
Unique (%)77.3%

Sample

1st row유공석유
2nd row유공석유
3rd row한솔에너지
4th row삼광석유
5th row신우석유
ValueCountFrequency (%)
유공석유 2
 
3.8%
태양에너지 2
 
3.8%
하계삼호주유소 2
 
3.8%
한양석유 2
 
3.8%
주)에스지에너지 2
 
3.8%
삼육주유소 2
 
3.8%
태릉솔밭지점 2
 
3.8%
뉴 1
 
1.9%
수락산셀프주유소 1
 
1.9%
삼천리 1
 
1.9%
Other values (35) 35
67.3%
2024-05-11T02:40:11.573781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 43
 
14.2%
주 28
 
9.2%
소 21
 
6.9%
석 19
 
6.3%
지 11
 
3.6%
) 9
 
3.0%
( 9
 
3.0%
에 9
 
3.0%
8
 
2.6%
너 7
 
2.3%
Other values (71) 139
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 271
89.4%
Close Punctuation 9
 
3.0%
Open Punctuation 9
 
3.0%
Space Separator 8
 
2.6%
Uppercase Letter 6
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 43
 
15.9%
주 28
 
10.3%
소 21
 
7.7%
석 19
 
7.0%
지 11
 
4.1%
에 9
 
3.3%
너 7
 
2.6%
삼 6
 
2.2%
계 6
 
2.2%
한 6
 
2.2%
Other values (66) 115
42.4%
Uppercase Letter
ValueCountFrequency (%)
K 3
50.0%
S 3
50.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 271
89.4%
Common 26
 
8.6%
Latin 6
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 43
 
15.9%
주 28
 
10.3%
소 21
 
7.7%
석 19
 
7.0%
지 11
 
4.1%
에 9
 
3.3%
너 7
 
2.6%
삼 6
 
2.2%
계 6
 
2.2%
한 6
 
2.2%
Other values (66) 115
42.4%
Common
ValueCountFrequency (%)
) 9
34.6%
( 9
34.6%
8
30.8%
Latin
ValueCountFrequency (%)
K 3
50.0%
S 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 271
89.4%
ASCII 32
 
10.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 43
 
15.9%
주 28
 
10.3%
소 21
 
7.7%
석 19
 
7.0%
지 11
 
4.1%
에 9
 
3.3%
너 7
 
2.6%
삼 6
 
2.2%
계 6
 
2.2%
한 6
 
2.2%
Other values (66) 115
42.4%
ASCII
ValueCountFrequency (%)
) 9
28.1%
( 9
28.1%
8
25.0%
K 3
 
9.4%
S 3
 
9.4%

최종수정일자
Date

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2001-03-24 00:00:00
Maximum2024-01-11 14:57:43
2024-05-11T02:40:12.020486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:40:12.660777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
I
27 
U
17 

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 27
61.4%
U 17
38.6%

Length

2024-05-11T02:40:13.223176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:40:13.665479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 27
61.4%
u 17
38.6%

데이터갱신일자
Categorical

Distinct19
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size484.0 B
2018-08-31 23:59:59.0
25 
2020-08-06 02:40:00.0
 
2
2023-11-30 23:00:00.0
 
1
2019-11-17 02:40:00.0
 
1
2022-10-31 22:09:00.0
 
1
Other values (14)
14 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique17 ?
Unique (%)38.6%

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 25
56.8%
2020-08-06 02:40:00.0 2
 
4.5%
2023-11-30 23:00:00.0 1
 
2.3%
2019-11-17 02:40:00.0 1
 
2.3%
2022-10-31 22:09:00.0 1
 
2.3%
2021-12-05 22:06:00.0 1
 
2.3%
2022-12-05 22:01:00.0 1
 
2.3%
2022-12-08 23:03:00.0 1
 
2.3%
2023-11-30 23:03:00.0 1
 
2.3%
2018-09-27 23:59:59.0 1
 
2.3%
Other values (9) 9
 
20.5%

Length

2024-05-11T02:40:14.155067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 26
29.5%
2018-08-31 25
28.4%
02:40:00.0 6
 
6.8%
23:03:00.0 3
 
3.4%
2023-11-30 2
 
2.3%
00:23:08.0 2
 
2.3%
22:06:00.0 2
 
2.3%
2020-08-06 2
 
2.3%
2018-11-10 1
 
1.1%
2021-06-10 1
 
1.1%
Other values (18) 18
20.5%

업태구분명
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
주유소
22 
일반판매소
20 
항공유판매소
 
2

Length

Max length6
Median length5.5
Mean length4.0454545
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주유소 22
50.0%
일반판매소 20
45.5%
항공유판매소 2
 
4.5%

Length

2024-05-11T02:40:14.923433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:40:15.256951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 22
50.0%
일반판매소 20
45.5%
항공유판매소 2
 
4.5%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)90.2%
Missing3
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean206238.92
Minimum204403.77
Maximum209707
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T02:40:15.715770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204403.77
5-th percentile204778.29
Q1205221.53
median206281.23
Q3206785.31
95-th percentile207486.12
Maximum209707
Range5303.2295
Interquartile range (IQR)1563.7762

Descriptive statistics

Standard deviation1142.5375
Coefficient of variation (CV)0.0055398733
Kurtosis2.138318
Mean206238.92
Median Absolute Deviation (MAD)651.17677
Skewness0.98804813
Sum8455795.6
Variance1305391.9
MonotonicityNot monotonic
2024-05-11T02:40:16.226517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
206311.021149288 2
 
4.5%
205601.066015629 2
 
4.5%
207486.11913221 2
 
4.5%
206581.77131317 2
 
4.5%
205120.431523419 1
 
2.3%
206560.822115442 1
 
2.3%
206751.503985132 1
 
2.3%
204599.09749179 1
 
2.3%
207048.934916803 1
 
2.3%
206932.407070741 1
 
2.3%
Other values (27) 27
61.4%
(Missing) 3
 
6.8%
ValueCountFrequency (%)
204403.773967973 1
2.3%
204599.09749179 1
2.3%
204778.288694881 1
2.3%
204839.977931148 1
2.3%
204854.051421931 1
2.3%
204936.68307996 1
2.3%
204991.692071337 1
2.3%
205086.47718411 1
2.3%
205100.998768161 1
2.3%
205120.431523419 1
2.3%
ValueCountFrequency (%)
209707.003485464 1
2.3%
209556.385815787 1
2.3%
207486.11913221 2
4.5%
207187.855460933 1
2.3%
207048.934916803 1
2.3%
206964.311274368 1
2.3%
206932.407070741 1
2.3%
206925.429408895 1
2.3%
206891.563573402 1
2.3%
206785.30827935 1
2.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)90.2%
Missing3
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean460282.65
Minimum457219.18
Maximum464917.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T02:40:16.782624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum457219.18
5-th percentile457473.61
Q1458182.99
median459690.91
Q3462252.5
95-th percentile463645.71
Maximum464917.55
Range7698.3747
Interquartile range (IQR)4069.5127

Descriptive statistics

Standard deviation2254.617
Coefficient of variation (CV)0.0048983314
Kurtosis-1.3404989
Mean460282.65
Median Absolute Deviation (MAD)1883.656
Skewness0.25834581
Sum18871589
Variance5083297.6
MonotonicityNot monotonic
2024-05-11T02:40:17.249023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
459031.311226013 2
 
4.5%
459233.675551946 2
 
4.5%
458182.990310787 2
 
4.5%
457972.789602585 2
 
4.5%
457219.178357588 1
 
2.3%
457551.615063923 1
 
2.3%
462649.296344179 1
 
2.3%
457807.250044659 1
 
2.3%
457473.605237492 1
 
2.3%
457368.334162862 1
 
2.3%
Other values (27) 27
61.4%
(Missing) 3
 
6.8%
ValueCountFrequency (%)
457219.178357588 1
2.3%
457368.334162862 1
2.3%
457473.605237492 1
2.3%
457551.615063923 1
2.3%
457642.18199673 1
2.3%
457807.250044659 1
2.3%
457972.789602585 2
4.5%
458021.16426023 1
2.3%
458159.713236152 1
2.3%
458182.990310787 2
4.5%
ValueCountFrequency (%)
464917.553024908 1
2.3%
463796.381217133 1
2.3%
463645.713588537 1
2.3%
463560.420620115 1
2.3%
463066.740519774 1
2.3%
462947.66303412 1
2.3%
462878.173167689 1
2.3%
462649.296344179 1
2.3%
462471.029681348 1
2.3%
462265.559662028 1
2.3%

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

거래처
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
03100000200131000960120001320010312<NA>3폐업3폐지20121102<NA><NA><NA>02972 1170<NA><NA>서울특별시 노원구 공릉동 517-2서울특별시 노원구 동일로184길 30 (공릉동)<NA>유공석유2012-11-02 18:04:44I2018-08-31 23:59:59.0일반판매소206581.771313457972.789603<NA><NA>
13100000200131000960120001520010321<NA>3폐업3폐지20121102<NA><NA><NA>02 972 1170<NA><NA>서울특별시 노원구 공릉동 517-2서울특별시 노원구 동일로184길 30 (공릉동)<NA>유공석유2012-11-02 17:34:44I2018-08-31 23:59:59.0일반판매소206581.771313457972.789603<NA><NA>
23100000200131000960120009520010510<NA>3폐업3폐지20170720<NA><NA><NA>02 9396967<NA><NA>서울특별시 노원구 상계동 95-25서울특별시 노원구 덕릉로102길 14 (상계동)<NA>한솔에너지2017-07-20 11:09:32I2018-08-31 23:59:59.0일반판매소206785.308279462471.029681<NA><NA>
33100000200131000960120009620010510<NA>3폐업3폐지<NA><NA><NA><NA>02 9365291<NA><NA>서울특별시 노원구 상계동 91서울특별시 노원구 덕릉로113길 15 (상계동)<NA>삼광석유2011-11-02 17:26:56I2018-08-31 23:59:59.0일반판매소206751.503985462649.296344<NA><NA>
43100000200131000960120009720010510<NA>3폐업3폐지<NA><NA><NA><NA>02 9365944<NA><NA>서울특별시 노원구 상계동 68-10<NA><NA>신우석유2011-11-02 17:26:21I2018-08-31 23:59:59.0일반판매소<NA><NA><NA><NA>
53100000200131000960120009920010510<NA>3폐업3폐지20160406<NA><NA><NA>02 9160428<NA><NA>서울특별시 노원구 월계동 534-134서울특별시 노원구 월계로44길 63 (월계동)<NA>대성석유2017-11-28 17:25:57I2018-08-31 23:59:59.0일반판매소204599.097492457807.250045<NA><NA>
63100000200131000960120090220010503<NA>3폐업3폐지<NA><NA><NA><NA>02 9366436<NA><NA>서울특별시 노원구 월계동 178-20<NA><NA>삼천리 석유2011-11-02 17:23:11I2018-08-31 23:59:59.0일반판매소<NA><NA><NA><NA>
73100000200131000960120090420010503<NA>3폐업3폐지<NA><NA><NA><NA>02 9743048<NA><NA>서울특별시 노원구 상계동 101-174서울특별시 노원구 덕릉로 799 (상계동)<NA>도경석유2011-11-02 17:22:39I2018-08-31 23:59:59.0일반판매소206925.429409462878.173168<NA><NA>
83100000200131000960120091020010510<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 9143049<NA><NA>서울특별시 노원구 월계동 476-1서울특별시 노원구 광운로2길 33 (월계동)<NA>서광석유2018-07-02 14:42:18I2018-08-31 23:59:59.0일반판매소205120.431523457219.178358<NA><NA>
93100000200131000960120091120010510<NA>3폐업3폐지<NA><NA><NA><NA>02 9732645<NA><NA>서울특별시 노원구 공릉동 593-3서울특별시 노원구 동일로178길 14 (공릉동)<NA>화랑석유2011-11-02 17:20:59I2018-08-31 23:59:59.0일반판매소206593.924069457642.181997<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
34310000020013100096015009232001-12-27<NA>1영업/정상1신규등록<NA><NA><NA><NA>0233920473765.0<NA>서울특별시 노원구 상계동 1205-7서울특별시 노원구 동일로 1772 (상계동)<NA>(주)소모 수락산셀프주유소2023-04-06 15:11:52U2022-12-04 00:08:00.0주유소204854.051422464917.553025<NA><NA>
353100000200331000960120000120030124<NA>1영업/정상1신규등록<NA><NA><NA><NA>02997 0149<NA><NA>서울특별시 노원구 상계동 635-42<NA><NA>태양에너지2011-11-02 16:46:44I2018-08-31 23:59:59.0일반판매소<NA><NA><NA><NA>
363100000200331000960120000220030507<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 9743838<NA><NA>서울특별시 노원구 하계동 141-3서울특별시 노원구 공릉로 294 (하계동)<NA>하계삼호주유소2018-02-20 16:05:04I2018-08-31 23:59:59.0일반판매소206311.021149459031.311226<NA><NA>
373100000200331000960120000320031110<NA>3폐업3폐지<NA><NA><NA><NA>02 9515151<NA><NA>서울특별시 노원구 상계동 169-205서울특별시 노원구 한글비석로23길 21 (상계동)<NA>뉴 한양석유2011-11-02 16:40:17I2018-08-31 23:59:59.0일반판매소206221.503973461948.832838<NA><NA>
383100000200431000960150000120040830<NA>1영업/정상1신규등록<NA><NA><NA><NA>02973 51721058.0<NA>서울특별시 노원구 공릉동 657 12,14호서울특별시 노원구 화랑로 466 (공릉동)<NA>(주)이엠석유배꽃나라주유소2021-12-29 10:10:48U2021-12-31 02:40:00.0주유소206932.407071457368.334163<NA><NA>
393100000200531000960150000120050620<NA>1영업/정상1신규등록<NA><NA><NA><NA><NA>977.1<NA>서울특별시 노원구 공릉동 649-14 외1필지서울특별시 노원구 화랑로 483 (공릉동)<NA>화랑대주유소2021-08-20 15:24:34U2021-08-22 02:40:00.0주유소207048.934917457473.605237<NA><NA>
403100000200631000960150000120060616<NA>1영업/정상6휴지사업재개<NA>20171023201712202017121302 97651891138.0<NA>서울특별시 노원구 공릉동 230-17서울특별시 노원구 노원로 49 (공릉동)<NA>유한책임회사 동하석유 태릉솔밭지점2020-08-04 13:44:11U2020-08-06 02:40:00.0주유소207486.119132458182.990311<NA><NA>
413100000200731001090150000120060315<NA>1영업/정상1신규등록<NA><NA><NA><NA>02-976-51891138.0<NA>서울특별시 노원구 공릉동 230-17 태릉솔밭주유소서울특별시 노원구 노원로 49, 태릉솔밭주유소 (공릉동)1817(유한)동하석유 태릉솔밭지점2023-01-11 16:32:50U2022-11-30 23:03:00.0주유소207486.119132458182.990311<NA><NA>
423100000202031001730120000120201119<NA>1영업/정상1신규등록<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 하계동 271-3 극동,건영,벽산아파트서울특별시 노원구 섬밭로 229, 5동 912호 (하계동, 극동,건영,벽산아파트)1776(주)에스지에너지2020-11-19 10:17:11I2020-11-21 00:23:08.0항공유판매소205601.066016459233.675552<NA><NA>
433100000202031001730120000220201125<NA>1영업/정상7영업개시<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 하계동 271-3 극동,건영,벽산아파트서울특별시 노원구 섬밭로 229, 5동 912호 (하계동, 극동,건영,벽산아파트)1776(주)에스지에너지2020-11-25 15:27:13I2020-11-27 00:23:08.0항공유판매소205601.066016459233.675552<NA><NA>