Overview

Dataset statistics

Number of variables27
Number of observations86
Missing cells647
Missing cells (%)27.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.4 KiB
Average record size in memory230.5 B

Variable types

Categorical9
Numeric6
DateTime5
Text4
Unsupported3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),자본금,거래처
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-19056/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (90.9%)Imbalance
도로명우편번호 is highly imbalanced (88.5%)Imbalance
데이터갱신일자 is highly imbalanced (55.8%)Imbalance
폐업일자 has 65 (75.6%) missing valuesMissing
휴업시작일자 has 76 (88.4%) missing valuesMissing
휴업종료일자 has 76 (88.4%) missing valuesMissing
재개업일자 has 79 (91.9%) missing valuesMissing
전화번호 has 1 (1.2%) missing valuesMissing
소재지면적 has 50 (58.1%) missing valuesMissing
소재지우편번호 has 86 (100.0%) missing valuesMissing
지번주소 has 4 (4.7%) missing valuesMissing
도로명주소 has 14 (16.3%) missing valuesMissing
좌표정보(X) has 12 (14.0%) missing valuesMissing
좌표정보(Y) has 12 (14.0%) missing valuesMissing
자본금 has 86 (100.0%) missing valuesMissing
거래처 has 86 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자본금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
거래처 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 05:25:52.960262
Analysis finished2024-05-11 05:25:53.610729
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
3040000
86 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 86
100.0%

Length

2024-05-11T14:25:53.702338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:53.876266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 86
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9914203 × 1018
Minimum1.970304 × 1018
Maximum2.016304 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-05-11T14:25:54.057283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.970304 × 1018
5-th percentile1.976304 × 1018
Q11.982804 × 1018
median1.992304 × 1018
Q31.996054 × 1018
95-th percentile2.013304 × 1018
Maximum2.016304 × 1018
Range4.6000009 × 1016
Interquartile range (IQR)1.325 × 1016

Descriptive statistics

Standard deviation1.0387119 × 1016
Coefficient of variation (CV)0.0052159349
Kurtosis0.020431843
Mean1.9914203 × 1018
Median Absolute Deviation (MAD)5 × 1015
Skewness0.37430756
Sum5.241448 × 1018
Variance1.0789223 × 1032
MonotonicityStrictly increasing
2024-05-11T14:25:54.347998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1970304007301200011 1
 
1.2%
1993304007301500028 1
 
1.2%
1995304007301500034 1
 
1.2%
1995304007301500033 1
 
1.2%
1995304007301200045 1
 
1.2%
1995304007301200036 1
 
1.2%
1994304007301500032 1
 
1.2%
1994304007301500030 1
 
1.2%
1994304007301500029 1
 
1.2%
1994304007301200044 1
 
1.2%
Other values (76) 76
88.4%
ValueCountFrequency (%)
1970304007301200011 1
1.2%
1976304007301500001 1
1.2%
1976304007301500002 1
1.2%
1976304007301500003 1
1.2%
1976304007301500004 1
1.2%
1976304007301500005 1
1.2%
1976304007301500006 1
1.2%
1976304007301500007 1
1.2%
1976304007301500008 1
1.2%
1976304007301500010 1
1.2%
ValueCountFrequency (%)
2016304016501200001 1
1.2%
2015304016501500009 1
1.2%
2015304016501500008 1
1.2%
2015304016501500007 1
1.2%
2015304016501500006 1
1.2%
2007304010301500005 1
1.2%
2007304010301500004 1
1.2%
2006304007301500001 1
1.2%
2005304007301500002 1
1.2%
2005304007301500001 1
1.2%

인허가일자
Date

Distinct69
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
Minimum1970-10-15 00:00:00
Maximum2016-07-13 00:00:00
2024-05-11T14:25:54.636013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:25:54.987851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
85 
20180228
 
1

Length

Max length8
Median length4
Mean length4.0465116
Min length4

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 85
98.8%
20180228 1
 
1.2%

Length

2024-05-11T14:25:55.488485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:55.780013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
98.8%
20180228 1
 
1.2%

영업상태코드
Categorical

Distinct4
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size820.0 B
3
64 
1
16 
2
 
3
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
3 64
74.4%
1 16
 
18.6%
2 3
 
3.5%
4 3
 
3.5%

Length

2024-05-11T14:25:56.023712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:56.217394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 64
74.4%
1 16
 
18.6%
2 3
 
3.5%
4 3
 
3.5%

영업상태명
Categorical

Distinct4
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size820.0 B
폐업
64 
영업/정상
16 
휴업
 
3
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length2
Mean length2.9767442
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 64
74.4%
영업/정상 16
 
18.6%
휴업 3
 
3.5%
취소/말소/만료/정지/중지 3
 
3.5%

Length

2024-05-11T14:25:56.433226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:56.646214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 64
74.4%
영업/정상 16
 
18.6%
휴업 3
 
3.5%
취소/말소/만료/정지/중지 3
 
3.5%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0348837
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-05-11T14:25:56.834122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2024257
Coefficient of variation (CV)0.39620158
Kurtosis3.0708573
Mean3.0348837
Median Absolute Deviation (MAD)0
Skewness1.1371748
Sum261
Variance1.4458276
MonotonicityNot monotonic
2024-05-11T14:25:57.012768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 64
74.4%
1 10
 
11.6%
6 4
 
4.7%
5 3
 
3.5%
2 3
 
3.5%
7 2
 
2.3%
ValueCountFrequency (%)
1 10
 
11.6%
2 3
 
3.5%
3 64
74.4%
5 3
 
3.5%
6 4
 
4.7%
7 2
 
2.3%
ValueCountFrequency (%)
7 2
 
2.3%
6 4
 
4.7%
5 3
 
3.5%
3 64
74.4%
2 3
 
3.5%
1 10
 
11.6%

상세영업상태명
Categorical

Distinct6
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
폐지
64 
신규등록
10 
휴지사업재개
 
4
사업휴지
 
3
등록취소
 
3

Length

Max length6
Median length2
Mean length2.6046512
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐지 64
74.4%
신규등록 10
 
11.6%
휴지사업재개 4
 
4.7%
사업휴지 3
 
3.5%
등록취소 3
 
3.5%
영업개시 2
 
2.3%

Length

2024-05-11T14:25:57.268738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:25:57.499117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 64
74.4%
신규등록 10
 
11.6%
휴지사업재개 4
 
4.7%
사업휴지 3
 
3.5%
등록취소 3
 
3.5%
영업개시 2
 
2.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing65
Missing (%)75.6%
Infinite0
Infinite (%)0.0%
Mean20138319
Minimum20070919
Maximum20221231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-05-11T14:25:57.712438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070919
5-th percentile20091005
Q120110513
median20130204
Q320170918
95-th percentile20210405
Maximum20221231
Range150312
Interquartile range (IQR)60405

Descriptive statistics

Standard deviation41727.146
Coefficient of variation (CV)0.0020720273
Kurtosis-0.5324282
Mean20138319
Median Absolute Deviation (MAD)19886
Skewness0.5787044
Sum4.229047 × 108
Variance1.7411547 × 109
MonotonicityNot monotonic
2024-05-11T14:25:57.946058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20110406 1
 
1.2%
20130204 1
 
1.2%
20111226 1
 
1.2%
20200803 1
 
1.2%
20170918 1
 
1.2%
20091214 1
 
1.2%
20140113 1
 
1.2%
20091005 1
 
1.2%
20170921 1
 
1.2%
20221231 1
 
1.2%
Other values (11) 11
 
12.8%
(Missing) 65
75.6%
ValueCountFrequency (%)
20070919 1
1.2%
20091005 1
1.2%
20091214 1
1.2%
20110318 1
1.2%
20110406 1
1.2%
20110513 1
1.2%
20110601 1
1.2%
20110905 1
1.2%
20111226 1
1.2%
20130131 1
1.2%
ValueCountFrequency (%)
20221231 1
1.2%
20210405 1
1.2%
20200803 1
1.2%
20191008 1
1.2%
20170921 1
1.2%
20170918 1
1.2%
20150715 1
1.2%
20140625 1
1.2%
20140113 1
1.2%
20130523 1
1.2%

휴업시작일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing76
Missing (%)88.4%
Memory size820.0 B
Minimum2010-01-21 00:00:00
Maximum2024-03-31 00:00:00
2024-05-11T14:25:58.215338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:25:58.407094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업종료일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing76
Missing (%)88.4%
Memory size820.0 B
Minimum2010-02-20 00:00:00
Maximum2025-03-30 00:00:00
2024-05-11T14:25:58.579842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:25:59.080391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

재개업일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing79
Missing (%)91.9%
Memory size820.0 B
Minimum2010-02-10 00:00:00
Maximum2022-12-02 00:00:00
2024-05-11T14:25:59.248244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:25:59.417247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

전화번호
Text

MISSING 

Distinct83
Distinct (%)97.6%
Missing1
Missing (%)1.2%
Memory size820.0 B
2024-05-11T14:25:59.750212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.9411765
Min length7

Characters and Unicode

Total characters845
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 (%)95.3%

Sample

1st row025412828
2nd row02 4660367
3rd row02 4557200
4th row0234361112
5th row0234060508
ValueCountFrequency (%)
02 47
31.1%
02464 4
 
2.6%
02452 3
 
2.0%
024460775 2
 
1.3%
000204539985 2
 
1.3%
4443181 1
 
0.7%
0222086101 1
 
0.7%
025412828 1
 
0.7%
024441666 1
 
0.7%
4544152 1
 
0.7%
Other values (88) 88
58.3%
2024-05-11T14:26:00.332928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 145
17.2%
4 144
17.0%
2 120
14.2%
6 75
8.9%
5 74
8.8%
68
8.0%
1 57
 
6.7%
7 50
 
5.9%
3 48
 
5.7%
8 33
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 777
92.0%
Space Separator 68
 
8.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 145
18.7%
4 144
18.5%
2 120
15.4%
6 75
9.7%
5 74
9.5%
1 57
 
7.3%
7 50
 
6.4%
3 48
 
6.2%
8 33
 
4.2%
9 31
 
4.0%
Space Separator
ValueCountFrequency (%)
68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 845
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 145
17.2%
4 144
17.0%
2 120
14.2%
6 75
8.9%
5 74
8.8%
68
8.0%
1 57
 
6.7%
7 50
 
5.9%
3 48
 
5.7%
8 33
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 845
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 145
17.2%
4 144
17.0%
2 120
14.2%
6 75
8.9%
5 74
8.8%
68
8.0%
1 57
 
6.7%
7 50
 
5.9%
3 48
 
5.7%
8 33
 
3.9%

소재지면적
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)100.0%
Missing50
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean672.10583
Minimum30
Maximum2692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-05-11T14:26:00.593507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile252.34
Q1329.405
median531.605
Q3827.725
95-th percentile1447.5025
Maximum2692
Range2662
Interquartile range (IQR)498.32

Descriptive statistics

Standard deviation505.07373
Coefficient of variation (CV)0.75147946
Kurtosis6.2123679
Mean672.10583
Median Absolute Deviation (MAD)214.895
Skewness2.0980298
Sum24195.81
Variance255099.47
MonotonicityNot monotonic
2024-05-11T14:26:00.814673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
285.88 1
 
1.2%
708.1 1
 
1.2%
333.17 1
 
1.2%
320.0 1
 
1.2%
229.15 1
 
1.2%
318.05 1
 
1.2%
1170.6 1
 
1.2%
480.54 1
 
1.2%
919.0 1
 
1.2%
1199.0 1
 
1.2%
Other values (26) 26
30.2%
(Missing) 50
58.1%
ValueCountFrequency (%)
30.0 1
1.2%
229.15 1
1.2%
260.07 1
1.2%
274.64 1
1.2%
285.88 1
1.2%
314.8 1
1.2%
315.37 1
1.2%
318.05 1
1.2%
320.0 1
1.2%
332.54 1
1.2%
ValueCountFrequency (%)
2692.0 1
1.2%
1528.0 1
1.2%
1420.67 1
1.2%
1244.0 1
1.2%
1199.0 1
1.2%
1170.6 1
1.2%
1088.13 1
1.2%
1007.0 1
1.2%
919.0 1
1.2%
797.3 1
1.2%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

지번주소
Text

MISSING 

Distinct82
Distinct (%)100.0%
Missing4
Missing (%)4.7%
Memory size820.0 B
2024-05-11T14:26:01.203257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length31
Mean length20.670732
Min length17

Characters and Unicode

Total characters1695
Distinct characters47
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)100.0%

Sample

1st row서울특별시 광진구 자양동 615-2
2nd row서울특별시 광진구 군자동 473-1
3rd row서울특별시 광진구 광장동 239-6
4th row서울특별시 광진구 화양동 302-13
5th row서울특별시 광진구 자양동 779-7
ValueCountFrequency (%)
서울특별시 82
24.4%
광진구 81
24.1%
자양동 23
 
6.8%
중곡동 22
 
6.5%
구의동 18
 
5.4%
군자동 6
 
1.8%
화양동 5
 
1.5%
광장동 4
 
1.2%
능동 3
 
0.9%
236-5 2
 
0.6%
Other values (89) 90
26.8%
2024-05-11T14:26:01.757941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
327
19.3%
구 100
 
5.9%
광 85
 
5.0%
동 83
 
4.9%
울 82
 
4.8%
- 82
 
4.8%
서 82
 
4.8%
시 82
 
4.8%
별 82
 
4.8%
특 82
 
4.8%
Other values (37) 608
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 914
53.9%
Decimal Number 371
21.9%
Space Separator 327
 
19.3%
Dash Punctuation 82
 
4.8%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 100
10.9%
광 85
9.3%
동 83
9.1%
울 82
9.0%
서 82
9.0%
시 82
9.0%
별 82
9.0%
특 82
9.0%
진 81
8.9%
자 29
 
3.2%
Other values (24) 126
13.8%
Decimal Number
ValueCountFrequency (%)
2 73
19.7%
1 56
15.1%
3 44
11.9%
6 38
10.2%
5 36
9.7%
7 36
9.7%
4 30
8.1%
0 28
 
7.5%
8 17
 
4.6%
9 13
 
3.5%
Space Separator
ValueCountFrequency (%)
327
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 914
53.9%
Common 781
46.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 100
10.9%
광 85
9.3%
동 83
9.1%
울 82
9.0%
서 82
9.0%
시 82
9.0%
별 82
9.0%
특 82
9.0%
진 81
8.9%
자 29
 
3.2%
Other values (24) 126
13.8%
Common
ValueCountFrequency (%)
327
41.9%
- 82
 
10.5%
2 73
 
9.3%
1 56
 
7.2%
3 44
 
5.6%
6 38
 
4.9%
5 36
 
4.6%
7 36
 
4.6%
4 30
 
3.8%
0 28
 
3.6%
Other values (3) 31
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 914
53.9%
ASCII 781
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
327
41.9%
- 82
 
10.5%
2 73
 
9.3%
1 56
 
7.2%
3 44
 
5.6%
6 38
 
4.9%
5 36
 
4.6%
7 36
 
4.6%
4 30
 
3.8%
0 28
 
3.6%
Other values (3) 31
 
4.0%
Hangul
ValueCountFrequency (%)
구 100
10.9%
광 85
9.3%
동 83
9.1%
울 82
9.0%
서 82
9.0%
시 82
9.0%
별 82
9.0%
특 82
9.0%
진 81
8.9%
자 29
 
3.2%
Other values (24) 126
13.8%

도로명주소
Text

MISSING 

Distinct71
Distinct (%)98.6%
Missing14
Missing (%)16.3%
Memory size820.0 B
2024-05-11T14:26:02.116483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length24.888889
Min length22

Characters and Unicode

Total characters1792
Distinct characters67
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)97.2%

Sample

1st row서울특별시 광진구 뚝섬로 607-5 (자양동)
2nd row서울특별시 광진구 천호대로 809 (광장동)
3rd row서울특별시 광진구 광나루로 460 (화양동)
4th row서울특별시 광진구 자양로 103 (자양동)
5th row서울특별시 광진구 동일로 398 (중곡동)
ValueCountFrequency (%)
서울특별시 72
19.7%
광진구 72
19.7%
중곡동 18
 
4.9%
자양동 18
 
4.9%
구의동 15
 
4.1%
동일로 11
 
3.0%
아차산로 7
 
1.9%
천호대로 6
 
1.6%
자양로 6
 
1.6%
광장동 5
 
1.4%
Other values (101) 135
37.0%
2024-05-11T14:26:02.791952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
328
18.3%
동 93
 
5.2%
구 91
 
5.1%
광 82
 
4.6%
) 73
 
4.1%
로 73
 
4.1%
( 73
 
4.1%
서 72
 
4.0%
특 72
 
4.0%
별 72
 
4.0%
Other values (57) 763
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1071
59.8%
Space Separator 328
 
18.3%
Decimal Number 235
 
13.1%
Close Punctuation 73
 
4.1%
Open Punctuation 73
 
4.1%
Dash Punctuation 7
 
0.4%
Other Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 93
 
8.7%
구 91
 
8.5%
광 82
 
7.7%
로 73
 
6.8%
서 72
 
6.7%
특 72
 
6.7%
별 72
 
6.7%
시 72
 
6.7%
진 72
 
6.7%
울 72
 
6.7%
Other values (42) 300
28.0%
Decimal Number
ValueCountFrequency (%)
1 40
17.0%
6 29
12.3%
4 28
11.9%
5 25
10.6%
0 24
10.2%
3 24
10.2%
2 24
10.2%
8 22
9.4%
9 12
 
5.1%
7 7
 
3.0%
Space Separator
ValueCountFrequency (%)
328
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1071
59.8%
Common 721
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 93
 
8.7%
구 91
 
8.5%
광 82
 
7.7%
로 73
 
6.8%
서 72
 
6.7%
특 72
 
6.7%
별 72
 
6.7%
시 72
 
6.7%
진 72
 
6.7%
울 72
 
6.7%
Other values (42) 300
28.0%
Common
ValueCountFrequency (%)
328
45.5%
) 73
 
10.1%
( 73
 
10.1%
1 40
 
5.5%
6 29
 
4.0%
4 28
 
3.9%
5 25
 
3.5%
0 24
 
3.3%
3 24
 
3.3%
2 24
 
3.3%
Other values (5) 53
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1071
59.8%
ASCII 721
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
328
45.5%
) 73
 
10.1%
( 73
 
10.1%
1 40
 
5.5%
6 29
 
4.0%
4 28
 
3.9%
5 25
 
3.5%
0 24
 
3.3%
3 24
 
3.3%
2 24
 
3.3%
Other values (5) 53
 
7.4%
Hangul
ValueCountFrequency (%)
동 93
 
8.7%
구 91
 
8.5%
광 82
 
7.7%
로 73
 
6.8%
서 72
 
6.7%
특 72
 
6.7%
별 72
 
6.7%
시 72
 
6.7%
진 72
 
6.7%
울 72
 
6.7%
Other values (42) 300
28.0%

도로명우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
<NA>
84 
5027
 
1
4969
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 84
97.7%
5027 1
 
1.2%
4969 1
 
1.2%

Length

2024-05-11T14:26:03.035702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:03.184131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 84
97.7%
5027 1
 
1.2%
4969 1
 
1.2%

사업장명
Text

Distinct81
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-05-11T14:26:03.543510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length6.5465116
Min length4

Characters and Unicode

Total characters563
Distinct characters123
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

Unique76 ?
Unique (%)88.4%

Sample

1st row대성칼텍스(주)
2nd row중곡주유소
3rd row삼호주유소
4th row(주)창원씨더블유
5th row지에스칼텍스(주) 구의스타주유소
ValueCountFrequency (%)
성수석유 2
 
2.1%
대림상사 2
 
2.1%
육일석유 2
 
2.1%
삼화페인트 2
 
2.1%
에이치디현대오일뱅크(주)직영 2
 
2.1%
구의주유소 2
 
2.1%
성동상사 2
 
2.1%
에이치디현대오일뱅크(주 2
 
2.1%
직영 2
 
2.1%
한양석유 1
 
1.0%
Other values (78) 78
80.4%
2024-05-11T14:26:04.122804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 68
 
12.1%
주 51
 
9.1%
석 33
 
5.9%
소 33
 
5.9%
대 19
 
3.4%
) 16
 
2.8%
( 16
 
2.8%
에 15
 
2.7%
동 12
 
2.1%
일 12
 
2.1%
Other values (113) 288
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 511
90.8%
Close Punctuation 16
 
2.8%
Open Punctuation 16
 
2.8%
Space Separator 11
 
2.0%
Uppercase Letter 8
 
1.4%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 68
 
13.3%
주 51
 
10.0%
석 33
 
6.5%
소 33
 
6.5%
대 19
 
3.7%
에 15
 
2.9%
동 12
 
2.3%
일 12
 
2.3%
성 10
 
2.0%
지 10
 
2.0%
Other values (106) 248
48.5%
Uppercase Letter
ValueCountFrequency (%)
K 4
50.0%
S 3
37.5%
O 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 511
90.8%
Common 44
 
7.8%
Latin 8
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 68
 
13.3%
주 51
 
10.0%
석 33
 
6.5%
소 33
 
6.5%
대 19
 
3.7%
에 15
 
2.9%
동 12
 
2.3%
일 12
 
2.3%
성 10
 
2.0%
지 10
 
2.0%
Other values (106) 248
48.5%
Common
ValueCountFrequency (%)
) 16
36.4%
( 16
36.4%
11
25.0%
2 1
 
2.3%
Latin
ValueCountFrequency (%)
K 4
50.0%
S 3
37.5%
O 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 511
90.8%
ASCII 52
 
9.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 68
 
13.3%
주 51
 
10.0%
석 33
 
6.5%
소 33
 
6.5%
대 19
 
3.7%
에 15
 
2.9%
동 12
 
2.3%
일 12
 
2.3%
성 10
 
2.0%
지 10
 
2.0%
Other values (106) 248
48.5%
ASCII
ValueCountFrequency (%)
) 16
30.8%
( 16
30.8%
11
21.2%
K 4
 
7.7%
S 3
 
5.8%
2 1
 
1.9%
O 1
 
1.9%

최종수정일자
Date

Distinct70
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Memory size820.0 B
Minimum2001-01-02 00:00:00
Maximum2024-05-03 13:14:42
2024-05-11T14:26:04.329597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:26:04.582199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
I
63 
U
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 63
73.3%
U 23
 
26.7%

Length

2024-05-11T14:26:04.813471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:04.969683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 63
73.3%
u 23
 
26.7%

데이터갱신일자
Categorical

IMBALANCE 

Distinct18
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Memory size820.0 B
2018-08-31 23:59:59.0
63 
2022-12-04 00:09:00.0
 
6
2022-12-04 00:07:00.0
 
2
2022-12-05 22:01:00.0
 
1
2022-12-05 21:00:00.0
 
1
Other values (13)
13 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique15 ?
Unique (%)17.4%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2021-12-08 23:06:00.0
4th row2022-12-04 00:09:00.0
5th row2022-12-05 21:00:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 63
73.3%
2022-12-04 00:09:00.0 6
 
7.0%
2022-12-04 00:07:00.0 2
 
2.3%
2022-12-05 22:01:00.0 1
 
1.2%
2022-12-05 21:00:00.0 1
 
1.2%
2023-12-04 00:03:00.0 1
 
1.2%
2019-10-06 02:40:00.0 1
 
1.2%
2022-12-04 23:03:00.0 1
 
1.2%
2021-06-23 02:40:00.0 1
 
1.2%
2021-12-08 23:06:00.0 1
 
1.2%
Other values (8) 8
 
9.3%

Length

2024-05-11T14:26:05.170108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 63
36.6%
23:59:59.0 63
36.6%
2022-12-04 10
 
5.8%
00:09:00.0 6
 
3.5%
02:40:00.0 5
 
2.9%
00:07:00.0 2
 
1.2%
2022-12-05 2
 
1.2%
21:00:00.0 2
 
1.2%
2023-12-05 1
 
0.6%
00:05:00.0 1
 
0.6%
Other values (17) 17
 
9.9%

업태구분명
Categorical

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
일반판매소
43 
주유소
34 
용제판매소
9 

Length

Max length5
Median length5
Mean length4.2093023
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반판매소 43
50.0%
주유소 34
39.5%
용제판매소 9
 
10.5%

Length

2024-05-11T14:26:05.404580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:26:05.580957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반판매소 43
50.0%
주유소 34
39.5%
용제판매소 9
 
10.5%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)95.9%
Missing12
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean207186.46
Minimum205374.18
Maximum209404.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-05-11T14:26:05.823572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205374.18
5-th percentile205810.39
Q1206761.43
median207234.64
Q3207751.97
95-th percentile208391.28
Maximum209404.06
Range4029.8841
Interquartile range (IQR)990.53246

Descriptive statistics

Standard deviation827.54455
Coefficient of variation (CV)0.003994202
Kurtosis0.26690797
Mean207186.46
Median Absolute Deviation (MAD)488.04417
Skewness0.10584541
Sum15331798
Variance684829.98
MonotonicityNot monotonic
2024-05-11T14:26:06.049876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206787.726685829 2
 
2.3%
207233.695298681 2
 
2.3%
206971.027874234 2
 
2.3%
207896.717643034 1
 
1.2%
206459.884282224 1
 
1.2%
207295.513801306 1
 
1.2%
208526.97532855 1
 
1.2%
207308.978317423 1
 
1.2%
207892.519821126 1
 
1.2%
206911.157777035 1
 
1.2%
Other values (61) 61
70.9%
(Missing) 12
 
14.0%
ValueCountFrequency (%)
205374.175772206 1
1.2%
205463.121583924 1
1.2%
205586.328379984 1
1.2%
205592.489674587 1
1.2%
205927.723813941 1
1.2%
206038.688817273 1
1.2%
206042.216601499 1
1.2%
206100.07425632 1
1.2%
206125.560131508 1
1.2%
206192.243519084 1
1.2%
ValueCountFrequency (%)
209404.059856911 1
1.2%
209097.562536093 1
1.2%
209096.322943014 1
1.2%
208526.97532855 1
1.2%
208318.216397053 1
1.2%
208302.723197103 1
1.2%
208106.35552549 1
1.2%
208036.180216687 1
1.2%
207995.933326096 1
1.2%
207993.737270424 1
1.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)95.9%
Missing12
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean449525.21
Minimum447478.76
Maximum452117.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-05-11T14:26:06.300313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447478.76
5-th percentile447727.26
Q1448402.65
median449238.35
Q3450569.24
95-th percentile451895.14
Maximum452117.47
Range4638.7076
Interquartile range (IQR)2166.5889

Descriptive statistics

Standard deviation1322.8523
Coefficient of variation (CV)0.0029427766
Kurtosis-1.0004392
Mean449525.21
Median Absolute Deviation (MAD)972.75957
Skewness0.37147758
Sum33264865
Variance1749938.2
MonotonicityNot monotonic
2024-05-11T14:26:06.554087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450096.662859387 2
 
2.3%
448245.707600481 2
 
2.3%
451895.139121392 2
 
2.3%
449791.297598392 1
 
1.2%
447802.836031756 1
 
1.2%
447478.763743127 1
 
1.2%
448791.8824094 1
 
1.2%
448641.406670527 1
 
1.2%
448838.019351619 1
 
1.2%
451896.819083957 1
 
1.2%
Other values (61) 61
70.9%
(Missing) 12
 
14.0%
ValueCountFrequency (%)
447478.763743127 1
1.2%
447605.744710866 1
1.2%
447673.763883377 1
1.2%
447677.374823634 1
1.2%
447754.123727158 1
1.2%
447786.920624015 1
1.2%
447802.836031756 1
1.2%
447825.343386649 1
1.2%
447865.023135673 1
1.2%
447979.635348156 1
1.2%
ValueCountFrequency (%)
452117.471356011 1
1.2%
451999.223929636 1
1.2%
451896.819083957 1
1.2%
451895.139121392 2
2.3%
451760.464348245 1
1.2%
451739.062997626 1
1.2%
451691.914133866 1
1.2%
451510.90650359 1
1.2%
451366.387432701 1
1.2%
451072.124043842 1
1.2%

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

거래처
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing86
Missing (%)100.0%
Memory size906.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
03040000197030400730120001119701015<NA>3폐업3폐지20150715<NA><NA><NA>025412828<NA><NA>서울특별시 광진구 자양동 615-2서울특별시 광진구 뚝섬로 607-5 (자양동)<NA>대성칼텍스(주)2015-07-15 11:25:05I2018-08-31 23:59:59.0일반판매소206768.253747447865.023136<NA><NA>
13040000197630400730150000119760429<NA>3폐업3폐지2011040620100701201009302010091002 4660367427.03<NA>서울특별시 광진구 군자동 473-1<NA><NA>중곡주유소2011-04-06 18:16:20I2018-08-31 23:59:59.0주유소206734.028285450610.859141<NA><NA>
23040000197630400730150000219760510<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 45572001007.0<NA>서울특별시 광진구 광장동 239-6서울특별시 광진구 천호대로 809 (광장동)<NA>삼호주유소2022-09-14 10:28:17U2021-12-08 23:06:00.0주유소209097.562536449268.831161<NA><NA>
3304000019763040073015000031976-05-19<NA>1영업/정상6휴지사업재개<NA><NA><NA>2021-06-230234361112692.33<NA>서울특별시 광진구 화양동 302-13서울특별시 광진구 광나루로 460 (화양동)<NA>(주)창원씨더블유2023-04-07 15:51:30U2022-12-04 00:09:00.0주유소207044.091526449207.874363<NA><NA>
4304000019763040073015000041976-05-19<NA>2휴업5사업휴지<NA>2023-06-152024-06-14<NA>0234060508547.1<NA>서울특별시 광진구 자양동 779-7서울특별시 광진구 자양로 103 (자양동)<NA>지에스칼텍스(주) 구의스타주유소2023-06-28 09:27:47U2022-12-05 21:00:00.0주유소207280.551326448309.477747<NA><NA>
5304000019763040073015000051976-05-24<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 4672410314.8<NA>서울특별시 광진구 중곡동 235-2서울특별시 광진구 동일로 398 (중곡동)<NA>에이치디현대오일뱅크(주) 직영 중원주유소2023-04-07 11:14:20U2022-12-04 00:09:00.0주유소206795.456275451510.906504<NA><NA>
63040000197630400730150000619760527<NA>3폐업3폐지201305232012063020130630<NA>02 4460313260.07<NA>서울특별시 광진구 구의동 57-62서울특별시 광진구 천호대로 685 (구의동)<NA>삼일주유소2013-05-23 14:43:03I2018-08-31 23:59:59.0주유소207995.933326449778.77301<NA><NA>
7304000019763040073015000071976-05-18<NA>2휴업5사업휴지<NA>2024-03-312025-03-30<NA>02 4570638762.2<NA>서울특별시 광진구 구의동 203-9서울특별시 광진구 광나루로 570 (구의동)<NA>대성산업(주) 구의주유소2024-04-01 16:29:47U2023-12-04 00:03:00.0주유소208106.355525449058.539101<NA><NA>
83040000197630400730150000819760531<NA>3폐업3폐지20110905<NA><NA><NA>02 4574005647.71<NA>서울특별시 광진구 구의동 201-8서울특별시 광진구 광나루로 604 (구의동)<NA>동아주유소2011-09-06 10:55:56I2018-08-31 23:59:59.0주유소208318.216397448817.091466<NA><NA>
93040000197630400730150001019760521<NA>3폐업3폐지20191008<NA><NA><NA>02 4633619661.0<NA>서울특별시 광진구 자양동 236-147서울특별시 광진구 동일로 50 (자양동)<NA>성일주유소2019-10-04 17:25:08U2019-10-06 02:40:00.0주유소205374.175772448348.775109<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
763040000200530400730150000120050426<NA>3폐업3폐지<NA><NA><NA><NA>02 4569126<NA><NA>서울특별시 광진구 자양동 679-30서울특별시 광진구 자양로 45 (자양동)<NA>(주)대성인터텍2006-03-15 00:00:00I2018-08-31 23:59:59.0용제판매소207477.249051447754.123727<NA><NA>
773040000200530400730150000220050525<NA>3폐업3폐지<NA><NA><NA><NA>024531 272<NA><NA>서울특별시 광진구 자양동 779-11 현대하이엘 402호서울특별시 광진구 자양로 113, 402호 (자양동,현대하이엘)<NA>(주)아신케미칼2006-03-15 00:00:00I2018-08-31 23:59:59.0용제판매소207264.376374448406.975758<NA><NA>
78304000020063040073015000012006-01-11<NA>1영업/정상1신규등록<NA><NA><NA><NA>024615152347.78<NA>서울특별시 광진구 중곡동 236-5서울특별시 광진구 동일로 413 (중곡동)<NA>정해네트웍스(주)일진주유소2023-04-05 17:53:50U2022-12-04 00:07:00.0주유소206821.64981451691.914134<NA><NA>
793040000200730401030150000420071127<NA>3폐업3폐지<NA><NA><NA><NA>00020453998530.0<NA>서울특별시 광진구 구의동 246-47 303호서울특별시 광진구 아차산로51길 8, 303호 (구의동)<NA>대림상사2009-05-29 14:47:25I2018-08-31 23:59:59.0용제판매소207483.585855448359.128535<NA><NA>
803040000200730401030150000520071127<NA>3폐업3폐지<NA><NA><NA><NA>000204539985<NA><NA>서울특별시 광진구 중곡동 80-4 1층서울특별시 광진구 자양로43길 143 (중곡동,1층)<NA>대림상사2016-01-13 11:00:29I2018-08-31 23:59:59.0용제판매소207771.66098450509.438529<NA><NA>
813040000201530401650150000620151218<NA>3폐업3폐지<NA><NA><NA><NA>4579449<NA><NA><NA>서울특별시 광진구 아차산로 360 (광장동)<NA>성동상사2016-01-13 16:56:15I2018-08-31 23:59:59.0용제판매소207233.695299448245.7076<NA><NA>
823040000201530401650150000720151218<NA>3폐업3폐지<NA><NA><NA><NA>024460775<NA><NA><NA>서울특별시 광진구 능동로 260 (능동)<NA>삼화페인트2016-01-13 16:57:02I2018-08-31 23:59:59.0용제판매소206787.726686450096.662859<NA><NA>
833040000201530401650150000820151218<NA>4취소/말소/만료/정지/중지2등록취소<NA><NA><NA><NA>024579449<NA><NA><NA>서울특별시 광진구 아차산로 360 (자양동)<NA>성동상사2016-01-13 10:59:21I2018-08-31 23:59:59.0용제판매소207233.695299448245.7076<NA><NA>
843040000201530401650150000920151218<NA>4취소/말소/만료/정지/중지2등록취소<NA><NA><NA><NA>024460775<NA><NA><NA>서울특별시 광진구 능동로 260 (능동)<NA>삼화페인트2016-01-13 10:58:34I2018-08-31 23:59:59.0용제판매소206787.726686450096.662859<NA><NA>
85304000020163040165012000012016-07-13<NA>1영업/정상7영업개시<NA><NA><NA><NA>4685152339.5<NA>서울특별시 광진구 중곡동 187-26서울특별시 광진구 동일로 438 (중곡동)<NA>(주) 동화오일2023-10-10 16:38:59U2022-10-30 23:02:00.0일반판매소206971.027874451895.139121<NA><NA>