Overview

Dataset statistics

Number of variables27
Number of observations70
Missing cells465
Missing cells (%)24.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.9 KiB
Average record size in memory232.9 B

Variable types

Categorical11
Numeric6
DateTime3
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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-19065/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (81.5%)Imbalance
휴업시작일자 is highly imbalanced (81.5%)Imbalance
휴업종료일자 is highly imbalanced (81.5%)Imbalance
폐업일자 has 33 (47.1%) missing valuesMissing
재개업일자 has 65 (92.9%) missing valuesMissing
전화번호 has 6 (8.6%) missing valuesMissing
소재지면적 has 47 (67.1%) missing valuesMissing
소재지우편번호 has 70 (100.0%) missing valuesMissing
도로명주소 has 16 (22.9%) missing valuesMissing
도로명우편번호 has 62 (88.6%) missing valuesMissing
좌표정보(X) has 13 (18.6%) missing valuesMissing
좌표정보(Y) has 13 (18.6%) missing valuesMissing
자본금 has 70 (100.0%) missing valuesMissing
거래처 has 70 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자본금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
거래처 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:51:01.088123
Analysis finished2024-04-29 19:51:01.732492
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
3130000
70 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 70
100.0%

Length

2024-04-30T04:51:01.800764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:51:01.880151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 70
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9976494 × 1018
Minimum1.970313 × 1018
Maximum2.024313 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-04-30T04:51:01.971960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.970313 × 1018
5-th percentile1.976313 × 1018
Q11.993313 × 1018
median2.0007 × 1018
Q32.004313 × 1018
95-th percentile2.008863 × 1018
Maximum2.024313 × 1018
Range5.4000017 × 1016
Interquartile range (IQR)1.1 × 1016

Descriptive statistics

Standard deviation1.0490606 × 1016
Coefficient of variation (CV)0.0052514751
Kurtosis0.38252723
Mean1.9976494 × 1018
Median Absolute Deviation (MAD)6.3869902 × 1015
Skewness-0.60554328
Sum-7.7384939 × 1018
Variance1.1005282 × 1032
MonotonicityStrictly increasing
2024-04-30T04:51:02.090265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1970313009901500003 1
 
1.4%
2003313009901500001 1
 
1.4%
2004313009901500002 1
 
1.4%
2004313009901500001 1
 
1.4%
2003313011801500001 1
 
1.4%
2003313009901500005 1
 
1.4%
2003313009901500003 1
 
1.4%
2003313009901500002 1
 
1.4%
2003313009901200001 1
 
1.4%
2004313009901500004 1
 
1.4%
Other values (60) 60
85.7%
ValueCountFrequency (%)
1970313009901500003 1
1.4%
1976313008001500001 1
1.4%
1976313009901500002 1
1.4%
1976313009901500003 1
1.4%
1976313011801500003 1
1.4%
1976313011801500007 1
1.4%
1980313008001200064 1
1.4%
1981313011801200001 1
1.4%
1981313011801200002 1
1.4%
1985313009901200001 1
1.4%
ValueCountFrequency (%)
2024313026601500001 1
1.4%
2017313016101500001 1
1.4%
2010313011801500001 1
1.4%
2009313011801500001 1
1.4%
2008313011801500001 1
1.4%
2007313011801500011 1
1.4%
2007313011801500004 1
1.4%
2007313011801500003 1
1.4%
2007313011801500002 1
1.4%
2007313011801500001 1
1.4%

인허가일자
Date

Distinct61
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum1970-10-13 00:00:00
Maximum2024-01-29 00:00:00
2024-04-30T04:51:02.213200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:51:02.364382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
66 
20090722
 
1
20151028
 
1
20000725
 
1
20100712
 
1

Length

Max length8
Median length4
Mean length4.2285714
Min length4

Unique

Unique4 ?
Unique (%)5.7%

Sample

1st row20090722
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 66
94.3%
20090722 1
 
1.4%
20151028 1
 
1.4%
20000725 1
 
1.4%
20100712 1
 
1.4%

Length

2024-04-30T04:51:02.489731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:51:02.586475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 66
94.3%
20090722 1
 
1.4%
20151028 1
 
1.4%
20000725 1
 
1.4%
20100712 1
 
1.4%

영업상태코드
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
3
48 
1
18 
4
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row1
3rd row3
4th row3
5th row1

Common Values

ValueCountFrequency (%)
3 48
68.6%
1 18
 
25.7%
4 4
 
5.7%

Length

2024-04-30T04:51:02.682008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:51:02.768870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 48
68.6%
1 18
 
25.7%
4 4
 
5.7%

영업상태명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
폐업
48 
영업/정상
18 
취소/말소/만료/정지/중지
 
4

Length

Max length14
Median length2
Mean length3.4571429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row영업/정상
3rd row폐업
4th row폐업
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 48
68.6%
영업/정상 18
 
25.7%
취소/말소/만료/정지/중지 4
 
5.7%

Length

2024-04-30T04:51:02.859539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:51:02.951739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 48
68.6%
영업/정상 18
 
25.7%
취소/말소/만료/정지/중지 4
 
5.7%

상세영업상태코드
Categorical

Distinct5
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
3
48 
7
7 
1
6 
6
5 
2
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row7
3rd row3
4th row3
5th row6

Common Values

ValueCountFrequency (%)
3 48
68.6%
7 7
 
10.0%
1 6
 
8.6%
6 5
 
7.1%
2 4
 
5.7%

Length

2024-04-30T04:51:03.047762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:51:03.139312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 48
68.6%
7 7
 
10.0%
1 6
 
8.6%
6 5
 
7.1%
2 4
 
5.7%

상세영업상태명
Categorical

Distinct5
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
폐지
48 
영업개시
7 
신규등록
6 
휴지사업재개
5 
등록취소
 
4

Length

Max length6
Median length2
Mean length2.7714286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row등록취소
2nd row영업개시
3rd row폐지
4th row폐지
5th row휴지사업재개

Common Values

ValueCountFrequency (%)
폐지 48
68.6%
영업개시 7
 
10.0%
신규등록 6
 
8.6%
휴지사업재개 5
 
7.1%
등록취소 4
 
5.7%

Length

2024-04-30T04:51:03.242243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:51:03.331587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 48
68.6%
영업개시 7
 
10.0%
신규등록 6
 
8.6%
휴지사업재개 5
 
7.1%
등록취소 4
 
5.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)67.6%
Missing33
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean20151586
Minimum20000712
Maximum20210818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-04-30T04:51:03.419795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000712
5-th percentile20064749
Q120110830
median20151021
Q320210818
95-th percentile20210818
Maximum20210818
Range210106
Interquartile range (IQR)99988

Descriptive statistics

Standard deviation58600.677
Coefficient of variation (CV)0.0029079934
Kurtosis-0.52430778
Mean20151586
Median Absolute Deviation (MAD)59797
Skewness-0.56338241
Sum7.4560867 × 108
Variance3.4340394 × 109
MonotonicityNot monotonic
2024-04-30T04:51:03.518135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20210818 13
 
18.6%
20100721 1
 
1.4%
20110830 1
 
1.4%
20120903 1
 
1.4%
20100406 1
 
1.4%
20160304 1
 
1.4%
20151021 1
 
1.4%
20070731 1
 
1.4%
20141223 1
 
1.4%
20131227 1
 
1.4%
Other values (15) 15
21.4%
(Missing) 33
47.1%
ValueCountFrequency (%)
20000712 1
1.4%
20040820 1
1.4%
20070731 1
1.4%
20070829 1
1.4%
20090203 1
1.4%
20090327 1
1.4%
20100406 1
1.4%
20100721 1
1.4%
20110713 1
1.4%
20110830 1
1.4%
ValueCountFrequency (%)
20210818 13
18.6%
20210630 1
 
1.4%
20190902 1
 
1.4%
20190322 1
 
1.4%
20181031 1
 
1.4%
20160304 1
 
1.4%
20151021 1
 
1.4%
20141223 1
 
1.4%
20131227 1
 
1.4%
20131126 1
 
1.4%

휴업시작일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
66 
20131127
 
1
20110831
 
1
20190211
 
1
20101229
 
1

Length

Max length8
Median length4
Mean length4.2285714
Min length4

Unique

Unique4 ?
Unique (%)5.7%

Sample

1st row<NA>
2nd row<NA>
3rd row20131127
4th row20110831
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 66
94.3%
20131127 1
 
1.4%
20110831 1
 
1.4%
20190211 1
 
1.4%
20101229 1
 
1.4%

Length

2024-04-30T04:51:03.626348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:51:03.732682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 66
94.3%
20131127 1
 
1.4%
20110831 1
 
1.4%
20190211 1
 
1.4%
20101229 1
 
1.4%

휴업종료일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
66 
20140331
 
1
20111031
 
1
20190630
 
1
20111228
 
1

Length

Max length8
Median length4
Mean length4.2285714
Min length4

Unique

Unique4 ?
Unique (%)5.7%

Sample

1st row<NA>
2nd row<NA>
3rd row20140331
4th row20111031
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 66
94.3%
20140331 1
 
1.4%
20111031 1
 
1.4%
20190630 1
 
1.4%
20111228 1
 
1.4%

Length

2024-04-30T04:51:03.843528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:51:03.935121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 66
94.3%
20140331 1
 
1.4%
20111031 1
 
1.4%
20190630 1
 
1.4%
20111228 1
 
1.4%

재개업일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing65
Missing (%)92.9%
Memory size692.0 B
Minimum2011-10-30 00:00:00
Maximum2023-12-14 00:00:00
2024-04-30T04:51:04.014566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:51:04.095026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

전화번호
Text

MISSING 

Distinct61
Distinct (%)95.3%
Missing6
Missing (%)8.6%
Memory size692.0 B
2024-04-30T04:51:04.287458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.859375
Min length7

Characters and Unicode

Total characters695
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

Unique58 ?
Unique (%)90.6%

Sample

1st row02 7068986
2nd row02 706 8955
3rd row02 336 3276
4th row02 3343247
5th row02-3272-5155
ValueCountFrequency (%)
02 50
35.2%
336 4
 
2.8%
3314 2
 
1.4%
5533 2
 
1.4%
7166828 2
 
1.4%
1550 2
 
1.4%
712 2
 
1.4%
334 2
 
1.4%
323 2
 
1.4%
3364261 2
 
1.4%
Other values (70) 72
50.7%
2024-04-30T04:51:04.590401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
15.7%
2 108
15.5%
3 104
15.0%
0 91
13.1%
1 64
9.2%
7 48
6.9%
6 46
6.6%
5 42
 
6.0%
8 32
 
4.6%
4 31
 
4.5%
Other values (2) 20
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 583
83.9%
Space Separator 109
 
15.7%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 108
18.5%
3 104
17.8%
0 91
15.6%
1 64
11.0%
7 48
8.2%
6 46
7.9%
5 42
 
7.2%
8 32
 
5.5%
4 31
 
5.3%
9 17
 
2.9%
Space Separator
ValueCountFrequency (%)
109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 695
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
109
15.7%
2 108
15.5%
3 104
15.0%
0 91
13.1%
1 64
9.2%
7 48
6.9%
6 46
6.6%
5 42
 
6.0%
8 32
 
4.6%
4 31
 
4.5%
Other values (2) 20
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 695
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
15.7%
2 108
15.5%
3 104
15.0%
0 91
13.1%
1 64
9.2%
7 48
6.9%
6 46
6.6%
5 42
 
6.0%
8 32
 
4.6%
4 31
 
4.5%
Other values (2) 20
 
2.9%

소재지면적
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)100.0%
Missing47
Missing (%)67.1%
Infinite0
Infinite (%)0.0%
Mean578.26304
Minimum60
Maximum1232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-04-30T04:51:04.716945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile113.3
Q1373
median552.4
Q3732.4
95-th percentile1152.1
Maximum1232
Range1172
Interquartile range (IQR)359.4

Descriptive statistics

Standard deviation317.01631
Coefficient of variation (CV)0.54822163
Kurtosis-0.32259183
Mean578.26304
Median Absolute Deviation (MAD)185.6
Skewness0.38403175
Sum13300.05
Variance100499.34
MonotonicityNot monotonic
2024-04-30T04:51:04.838805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
722.65 1
 
1.4%
399.7 1
 
1.4%
274.7 1
 
1.4%
647.9 1
 
1.4%
962.5 1
 
1.4%
738.0 1
 
1.4%
660.0 1
 
1.4%
1000.0 1
 
1.4%
102.0 1
 
1.4%
60.0 1
 
1.4%
Other values (13) 13
 
18.6%
(Missing) 47
67.1%
ValueCountFrequency (%)
60.0 1
1.4%
102.0 1
1.4%
215.0 1
1.4%
235.0 1
1.4%
274.7 1
1.4%
347.0 1
1.4%
399.0 1
1.4%
399.7 1
1.4%
439.0 1
1.4%
480.6 1
1.4%
ValueCountFrequency (%)
1232.0 1
1.4%
1169.0 1
1.4%
1000.0 1
1.4%
962.5 1
1.4%
780.8 1
1.4%
738.0 1
1.4%
726.8 1
1.4%
722.65 1
1.4%
660.0 1
1.4%
647.9 1
1.4%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

지번주소
Text

Distinct66
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-04-30T04:51:05.023659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length44
Mean length23.5
Min length13

Characters and Unicode

Total characters1645
Distinct characters115
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

Unique62 ?
Unique (%)88.6%

Sample

1st row서울특별시 마포구 도화동 174-1
2nd row서울특별시 마포구 도화동 174-1
3rd row서울특별시 마포구 합정동 382-20
4th row서울특별시 마포구 동교동 179-4
5th row서울특별시 마포구 염리동 155-6
ValueCountFrequency (%)
서울특별시 66
20.2%
마포구 63
19.3%
성산동 14
 
4.3%
도화동 6
 
1.8%
망원동 6
 
1.8%
합정동 6
 
1.8%
아현동 5
 
1.5%
공덕동 4
 
1.2%
동교동 4
 
1.2%
174-1 3
 
0.9%
Other values (133) 149
45.7%
2024-04-30T04:51:05.343853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
304
18.5%
동 81
 
4.9%
구 72
 
4.4%
시 70
 
4.3%
마 70
 
4.3%
서 69
 
4.2%
1 69
 
4.2%
특 66
 
4.0%
별 66
 
4.0%
포 66
 
4.0%
Other values (105) 712
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 901
54.8%
Decimal Number 376
22.9%
Space Separator 304
 
18.5%
Dash Punctuation 60
 
3.6%
Uppercase Letter 3
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 81
 
9.0%
구 72
 
8.0%
시 70
 
7.8%
마 70
 
7.8%
서 69
 
7.7%
특 66
 
7.3%
별 66
 
7.3%
포 66
 
7.3%
울 66
 
7.3%
성 18
 
2.0%
Other values (89) 257
28.5%
Decimal Number
ValueCountFrequency (%)
1 69
18.4%
3 49
13.0%
2 48
12.8%
4 46
12.2%
7 39
10.4%
0 31
8.2%
5 30
8.0%
8 25
 
6.6%
6 21
 
5.6%
9 18
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
B 1
33.3%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
304
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 901
54.8%
Common 741
45.0%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 81
 
9.0%
구 72
 
8.0%
시 70
 
7.8%
마 70
 
7.8%
서 69
 
7.7%
특 66
 
7.3%
별 66
 
7.3%
포 66
 
7.3%
울 66
 
7.3%
성 18
 
2.0%
Other values (89) 257
28.5%
Common
ValueCountFrequency (%)
304
41.0%
1 69
 
9.3%
- 60
 
8.1%
3 49
 
6.6%
2 48
 
6.5%
4 46
 
6.2%
7 39
 
5.3%
0 31
 
4.2%
5 30
 
4.0%
8 25
 
3.4%
Other values (3) 40
 
5.4%
Latin
ValueCountFrequency (%)
S 1
33.3%
B 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 901
54.8%
ASCII 744
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
304
40.9%
1 69
 
9.3%
- 60
 
8.1%
3 49
 
6.6%
2 48
 
6.5%
4 46
 
6.2%
7 39
 
5.2%
0 31
 
4.2%
5 30
 
4.0%
8 25
 
3.4%
Other values (6) 43
 
5.8%
Hangul
ValueCountFrequency (%)
동 81
 
9.0%
구 72
 
8.0%
시 70
 
7.8%
마 70
 
7.8%
서 69
 
7.7%
특 66
 
7.3%
별 66
 
7.3%
포 66
 
7.3%
울 66
 
7.3%
성 18
 
2.0%
Other values (89) 257
28.5%

도로명주소
Text

MISSING 

Distinct50
Distinct (%)92.6%
Missing16
Missing (%)22.9%
Memory size692.0 B
2024-04-30T04:51:05.579869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length26.907407
Min length22

Characters and Unicode

Total characters1453
Distinct characters110
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

Unique47 ?
Unique (%)87.0%

Sample

1st row서울특별시 마포구 마포대로 69 (도화동)
2nd row서울특별시 마포구 마포대로 69 (도화동)
3rd row서울특별시 마포구 양화로 13 (합정동)
4th row서울특별시 마포구 신촌로 28 (동교동)
5th row서울특별시 마포구 백범로 126 (염리동)
ValueCountFrequency (%)
서울특별시 54
18.8%
마포구 51
 
17.7%
성산동 12
 
4.2%
마포대로 7
 
2.4%
월드컵북로 7
 
2.4%
합정동 6
 
2.1%
도화동 5
 
1.7%
월드컵로 5
 
1.7%
망원동 5
 
1.7%
69 4
 
1.4%
Other values (110) 132
45.8%
2024-04-30T04:51:05.964546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
242
 
16.7%
동 63
 
4.3%
마 60
 
4.1%
포 60
 
4.1%
서 58
 
4.0%
구 56
 
3.9%
울 56
 
3.9%
( 54
 
3.7%
특 54
 
3.7%
별 54
 
3.7%
Other values (100) 696
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 884
60.8%
Space Separator 242
 
16.7%
Decimal Number 195
 
13.4%
Open Punctuation 54
 
3.7%
Close Punctuation 54
 
3.7%
Other Punctuation 15
 
1.0%
Dash Punctuation 6
 
0.4%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 63
 
7.1%
마 60
 
6.8%
포 60
 
6.8%
서 58
 
6.6%
구 56
 
6.3%
울 56
 
6.3%
특 54
 
6.1%
별 54
 
6.1%
시 54
 
6.1%
로 52
 
5.9%
Other values (82) 317
35.9%
Decimal Number
ValueCountFrequency (%)
1 51
26.2%
2 28
14.4%
3 23
11.8%
4 18
 
9.2%
6 18
 
9.2%
9 16
 
8.2%
0 14
 
7.2%
8 10
 
5.1%
7 10
 
5.1%
5 7
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
K 1
33.3%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
242
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 884
60.8%
Common 566
39.0%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 63
 
7.1%
마 60
 
6.8%
포 60
 
6.8%
서 58
 
6.6%
구 56
 
6.3%
울 56
 
6.3%
특 54
 
6.1%
별 54
 
6.1%
시 54
 
6.1%
로 52
 
5.9%
Other values (82) 317
35.9%
Common
ValueCountFrequency (%)
242
42.8%
( 54
 
9.5%
) 54
 
9.5%
1 51
 
9.0%
2 28
 
4.9%
3 23
 
4.1%
4 18
 
3.2%
6 18
 
3.2%
9 16
 
2.8%
, 15
 
2.7%
Other values (5) 47
 
8.3%
Latin
ValueCountFrequency (%)
B 1
33.3%
K 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 884
60.8%
ASCII 569
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
242
42.5%
( 54
 
9.5%
) 54
 
9.5%
1 51
 
9.0%
2 28
 
4.9%
3 23
 
4.0%
4 18
 
3.2%
6 18
 
3.2%
9 16
 
2.8%
, 15
 
2.6%
Other values (8) 50
 
8.8%
Hangul
ValueCountFrequency (%)
동 63
 
7.1%
마 60
 
6.8%
포 60
 
6.8%
서 58
 
6.6%
구 56
 
6.3%
울 56
 
6.3%
특 54
 
6.1%
별 54
 
6.1%
시 54
 
6.1%
로 52
 
5.9%
Other values (82) 317
35.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing62
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean4040.5
Minimum3937
Maximum4212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-04-30T04:51:06.064480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3937
5-th percentile3937
Q13955
median3979
Q34158.25
95-th percentile4194.5
Maximum4212
Range275
Interquartile range (IQR)203.25

Descriptive statistics

Standard deviation115.35907
Coefficient of variation (CV)0.028550691
Kurtosis-1.8653132
Mean4040.5
Median Absolute Deviation (MAD)42
Skewness0.6471507
Sum32324
Variance13307.714
MonotonicityNot monotonic
2024-04-30T04:51:06.152981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3937 2
 
2.9%
4162 1
 
1.4%
4157 1
 
1.4%
3961 1
 
1.4%
4212 1
 
1.4%
3986 1
 
1.4%
3972 1
 
1.4%
(Missing) 62
88.6%
ValueCountFrequency (%)
3937 2
2.9%
3961 1
1.4%
3972 1
1.4%
3986 1
1.4%
4157 1
1.4%
4162 1
1.4%
4212 1
1.4%
ValueCountFrequency (%)
4212 1
1.4%
4162 1
1.4%
4157 1
1.4%
3986 1
1.4%
3972 1
1.4%
3961 1
1.4%
3937 2
2.9%

사업장명
Text

Distinct69
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-04-30T04:51:06.322984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length7.6285714
Min length2

Characters and Unicode

Total characters534
Distinct characters140
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)97.1%

Sample

1st row(주)양지주유소
2nd row에스케이에너지(주) 양지주유소
3rd rowSK네트윅스(주)합정주유소
4th row지에스칼텍스(주)직영 동아점
5th row에쓰-오일(주) 염리동 주유소
ValueCountFrequency (%)
아현석유 2
 
2.3%
주식회사 2
 
2.3%
주)현산케미칼 1
 
1.2%
sk네트웍스(주)청기와주유소 1
 
1.2%
대성유화 1
 
1.2%
주)태영인더스트리 1
 
1.2%
sk글로벌(주)청기와주유소 1
 
1.2%
도날드주유소 1
 
1.2%
sk석유판매센타 1
 
1.2%
우리상회 1
 
1.2%
Other values (74) 74
86.0%
2024-04-30T04:51:06.650366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 48
 
9.0%
유 43
 
8.1%
) 22
 
4.1%
( 22
 
4.1%
소 21
 
3.9%
석 17
 
3.2%
에 17
 
3.2%
16
 
3.0%
지 14
 
2.6%
사 11
 
2.1%
Other values (130) 303
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 441
82.6%
Close Punctuation 22
 
4.1%
Open Punctuation 22
 
4.1%
Uppercase Letter 17
 
3.2%
Space Separator 16
 
3.0%
Lowercase Letter 9
 
1.7%
Decimal Number 5
 
0.9%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 48
 
10.9%
유 43
 
9.8%
소 21
 
4.8%
석 17
 
3.9%
에 17
 
3.9%
지 14
 
3.2%
사 11
 
2.5%
스 11
 
2.5%
너 9
 
2.0%
영 8
 
1.8%
Other values (109) 242
54.9%
Lowercase Letter
ValueCountFrequency (%)
d 2
22.2%
c 1
11.1%
k 1
11.1%
g 1
11.1%
n 1
11.1%
i 1
11.1%
a 1
11.1%
r 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
S 6
35.3%
K 5
29.4%
T 2
 
11.8%
C 1
 
5.9%
L 1
 
5.9%
M 1
 
5.9%
G 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 4
80.0%
2 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 441
82.6%
Common 67
 
12.5%
Latin 26
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 48
 
10.9%
유 43
 
9.8%
소 21
 
4.8%
석 17
 
3.9%
에 17
 
3.9%
지 14
 
3.2%
사 11
 
2.5%
스 11
 
2.5%
너 9
 
2.0%
영 8
 
1.8%
Other values (109) 242
54.9%
Latin
ValueCountFrequency (%)
S 6
23.1%
K 5
19.2%
T 2
 
7.7%
d 2
 
7.7%
C 1
 
3.8%
c 1
 
3.8%
k 1
 
3.8%
L 1
 
3.8%
g 1
 
3.8%
n 1
 
3.8%
Other values (5) 5
19.2%
Common
ValueCountFrequency (%)
) 22
32.8%
( 22
32.8%
16
23.9%
1 4
 
6.0%
- 2
 
3.0%
2 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 441
82.6%
ASCII 93
 
17.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 48
 
10.9%
유 43
 
9.8%
소 21
 
4.8%
석 17
 
3.9%
에 17
 
3.9%
지 14
 
3.2%
사 11
 
2.5%
스 11
 
2.5%
너 9
 
2.0%
영 8
 
1.8%
Other values (109) 242
54.9%
ASCII
ValueCountFrequency (%)
) 22
23.7%
( 22
23.7%
16
17.2%
S 6
 
6.5%
K 5
 
5.4%
1 4
 
4.3%
T 2
 
2.2%
- 2
 
2.2%
d 2
 
2.2%
C 1
 
1.1%
Other values (11) 11
11.8%

최종수정일자
Date

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum2006-04-07 00:00:00
Maximum2024-01-29 11:20:08
2024-04-30T04:51:06.757498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:51:07.051645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
U
39 
I
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 39
55.7%
I 31
44.3%

Length

2024-04-30T04:51:07.170429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:51:07.255542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 39
55.7%
i 31
44.3%

데이터갱신일자
Categorical

Distinct23
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
2018-08-31 23:59:59.0
30 
2021-08-20 02:40:00.0
13 
2021-12-04 22:05:00.0
4 
2021-08-17 02:40:00.0
4 
2022-12-01 23:05:00.0
 
1
Other values (18)
18 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique19 ?
Unique (%)27.1%

Sample

1st row2018-08-31 23:59:59.0
2nd row2023-12-01 00:06:00.0
3rd row2019-09-04 02:40:00.0
4th row2018-08-31 23:59:59.0
5th row2022-12-06 00:04:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 30
42.9%
2021-08-20 02:40:00.0 13
18.6%
2021-12-04 22:05:00.0 4
 
5.7%
2021-08-17 02:40:00.0 4
 
5.7%
2022-12-01 23:05:00.0 1
 
1.4%
2019-09-04 02:40:00.0 1
 
1.4%
2022-12-06 00:04:00.0 1
 
1.4%
2023-12-01 00:04:00.0 1
 
1.4%
2019-08-09 02:40:00.0 1
 
1.4%
2020-07-02 02:40:00.0 1
 
1.4%
Other values (13) 13
18.6%

Length

2024-04-30T04:51:07.349720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 30
21.4%
23:59:59.0 30
21.4%
02:40:00.0 25
17.9%
2021-08-20 13
9.3%
2021-12-04 4
 
2.9%
22:05:00.0 4
 
2.9%
2021-08-17 4
 
2.9%
00:04:00.0 3
 
2.1%
2022-10-31 2
 
1.4%
23:05:00.0 2
 
1.4%
Other values (22) 23
16.4%

업태구분명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
주유소
27 
일반판매소
27 
용제판매소
16 

Length

Max length5
Median length5
Mean length4.2285714
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주유소 27
38.6%
일반판매소 27
38.6%
용제판매소 16
22.9%

Length

2024-04-30T04:51:07.468777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:51:07.573508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 27
38.6%
일반판매소 27
38.6%
용제판매소 16
22.9%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)93.0%
Missing13
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean193526.45
Minimum188677.64
Maximum206383.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-04-30T04:51:07.682129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum188677.64
5-th percentile191208.85
Q1191961.83
median192657.28
Q3195111.09
95-th percentile196208.76
Maximum206383.52
Range17705.882
Interquartile range (IQR)3149.261

Descriptive statistics

Standard deviation2516.8289
Coefficient of variation (CV)0.01300509
Kurtosis11.078593
Mean193526.45
Median Absolute Deviation (MAD)1222.7234
Skewness2.4062651
Sum11031008
Variance6334427.5
MonotonicityNot monotonic
2024-04-30T04:51:07.812514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195392.393838708 3
 
4.3%
192608.240873665 2
 
2.9%
191267.195239504 2
 
2.9%
192647.137080635 1
 
1.4%
193005.883365365 1
 
1.4%
206383.523540399 1
 
1.4%
191726.820059626 1
 
1.4%
191335.61547463 1
 
1.4%
188677.641977049 1
 
1.4%
195852.524254164 1
 
1.4%
Other values (43) 43
61.4%
(Missing) 13
 
18.6%
ValueCountFrequency (%)
188677.641977049 1
1.4%
190733.764082494 1
1.4%
191029.592582978 1
1.4%
191253.661410745 1
1.4%
191267.195239504 2
2.9%
191335.61547463 1
1.4%
191434.555728287 1
1.4%
191692.745814346 1
1.4%
191726.820059626 1
1.4%
191735.501542281 1
1.4%
ValueCountFrequency (%)
206383.523540399 1
1.4%
197180.083864666 1
1.4%
196692.102667417 1
1.4%
196087.923812924 1
1.4%
196078.97792432 1
1.4%
196011.399854851 1
1.4%
195852.524254164 1
1.4%
195801.332676206 1
1.4%
195742.456217441 1
1.4%
195594.757663818 1
1.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)93.0%
Missing13
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean449763.14
Minimum424022.56
Maximum452852.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-04-30T04:51:07.927347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum424022.56
5-th percentile448630.6
Q1449455.51
median450384.57
Q3450831.13
95-th percentile451583
Maximum452852.02
Range28829.463
Interquartile range (IQR)1375.6165

Descriptive statistics

Standard deviation3627.719
Coefficient of variation (CV)0.0080658433
Kurtosis47.252074
Mean449763.14
Median Absolute Deviation (MAD)722.89539
Skewness-6.5784354
Sum25636499
Variance13160345
MonotonicityNot monotonic
2024-04-30T04:51:08.041928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448869.639179573 3
 
4.3%
450831.130438955 2
 
2.9%
451555.668040575 2
 
2.9%
450823.305185789 1
 
1.4%
450387.023230304 1
 
1.4%
424022.556955428 1
 
1.4%
450137.879323809 1
 
1.4%
450961.473060322 1
 
1.4%
447090.755009413 1
 
1.4%
448575.779442887 1
 
1.4%
Other values (43) 43
61.4%
(Missing) 13
 
18.6%
ValueCountFrequency (%)
424022.556955428 1
 
1.4%
447090.755009413 1
 
1.4%
448575.779442887 1
 
1.4%
448644.311298762 1
 
1.4%
448766.218286575 1
 
1.4%
448869.639179573 3
4.3%
448975.023736286 1
 
1.4%
449031.693996545 1
 
1.4%
449177.319954632 1
 
1.4%
449301.139411883 1
 
1.4%
ValueCountFrequency (%)
452852.020155302 1
1.4%
452672.314287248 1
1.4%
451692.303107203 1
1.4%
451555.668040575 2
2.9%
451428.429171361 1
1.4%
451418.064308563 1
1.4%
451339.294211842 1
1.4%
451262.275005705 1
1.4%
451219.654273709 1
1.4%
451088.79724231 1
1.4%

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

거래처
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
03130000197031300990150000319701013200907224취소/말소/만료/정지/중지2등록취소<NA><NA><NA><NA>02 7068986<NA><NA>서울특별시 마포구 도화동 174-1서울특별시 마포구 마포대로 69 (도화동)<NA>(주)양지주유소2018-07-13 16:47:42I2018-08-31 23:59:59.0주유소195392.393839448869.63918<NA><NA>
1313000019763130080015000011976-04-27<NA>1영업/정상7영업개시<NA><NA><NA><NA>02 706 8955780.8<NA>서울특별시 마포구 도화동 174-1서울특별시 마포구 마포대로 69 (도화동)<NA>에스케이에너지(주) 양지주유소2024-01-04 09:37:11U2023-12-01 00:06:00.0주유소195392.393839448869.63918<NA><NA>
23130000197631300990150000219760524<NA>3폐업3폐지201909022013112720140331<NA>02 336 3276722.65<NA>서울특별시 마포구 합정동 382-20서울특별시 마포구 양화로 13 (합정동)<NA>SK네트윅스(주)합정주유소2019-09-02 15:43:53U2019-09-04 02:40:00.0주유소192021.89863449617.783267<NA><NA>
33130000197631300990150000319760526<NA>3폐업3폐지2012103020110831201110312011103002 3343247439.0<NA>서울특별시 마포구 동교동 179-4서울특별시 마포구 신촌로 28 (동교동)<NA>지에스칼텍스(주)직영 동아점2012-10-30 17:51:39I2018-08-31 23:59:59.0주유소193671.822774450589.854946<NA><NA>
4313000019763130118015000031976-05-07<NA>1영업/정상6휴지사업재개<NA><NA><NA><NA>02-3272-51551169.0<NA>서울특별시 마포구 염리동 155-6서울특별시 마포구 백범로 126 (염리동)<NA>에쓰-오일(주) 염리동 주유소2023-06-02 10:56:43U2022-12-06 00:04:00.0주유소195053.439261449337.652682<NA><NA>
5313000019763130118015000071976-05-31<NA>1영업/정상6휴지사업재개<NA><NA><NA>2020-01-1602 334 8030480.6<NA>서울특별시 마포구 합정동 383-4서울특별시 마포구 양화로 33 (합정동)<NA>에스케이에너지 주식회사 안국주유소2024-01-02 14:18:16U2023-12-01 00:04:00.0주유소192208.898477449675.056717<NA><NA>
63130000198031300800120006419800428<NA>3폐업3폐지20210818<NA><NA><NA>02 3727237<NA><NA>서울특별시 마포구 상암동 19-15서울특별시 마포구 월드컵북로44길 26 (상암동)<NA>경일에너지2021-08-18 17:46:09U2021-08-20 02:40:00.0일반판매소190733.764082452672.314287<NA><NA>
73130000198131301180120000119811027<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 719 7788<NA><NA>서울특별시 마포구 염리동 488서울특별시 마포구 숭문16길 28 (염리동)<NA>우신석유상사2022-05-23 17:26:48U2021-12-04 22:05:00.0일반판매소195344.404826450384.565679<NA><NA>
83130000198131301180120000219811105<NA>3폐업3폐지20120307<NA><NA><NA>02 336 1146<NA><NA>서울특별시 마포구 합정동 427-19서울특별시 마포구 월드컵로 39-1 (합정동)<NA>공명사2012-03-07 14:52:35I2018-08-31 23:59:59.0일반판매소192138.729904450071.617962<NA><NA>
93130000198531300990120000119851018<NA>3폐업3폐지20090203<NA><NA><NA>02 3629630<NA><NA>서울특별시 마포구 아현동 611-7<NA><NA>삼표석유2009-02-03 13:46:55I2018-08-31 23:59:59.0일반판매소<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
603130000200731301180150000120070209<NA>3폐업3폐지20151021<NA><NA><NA>02 324 8526<NA><NA>서울특별시 마포구 서교동 448-28서울특별시 마포구 동교로17안길 43-6 (서교동)<NA>(주)파텍상사2015-10-22 09:13:41I2018-08-31 23:59:59.0용제판매소192700.561455450482.547939<NA><NA>
613130000200731301180150000220071228<NA>1영업/정상7영업개시<NA><NA><NA><NA>02 336 5185738.0<NA>서울특별시 마포구 창전동 13-6 13-44, 13-15서울특별시 마포구 서강로 76 (창전동)<NA>주식회사 에스에스 오토2022-09-02 17:50:27U2021-12-09 00:04:00.0주유소193971.947073449732.094993<NA><NA>
623130000200731301180150000320080925<NA>3폐업3폐지20160304<NA><NA><NA><NA>962.5<NA>서울특별시 마포구 성산동 232-11서울특별시 마포구 월드컵북로 63 (성산동)<NA>SK네트윅스(주)청기와2주유소2016-03-04 15:31:06I2018-08-31 23:59:59.0주유소192562.731396450800.267598<NA><NA>
633130000200731301180150000420071128<NA>3폐업3폐지20100406<NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 449-5서울특별시 마포구 월드컵북로 45 (서교동)<NA>지에스엠물산(GSM Trading)2010-04-06 17:45:59I2018-08-31 23:59:59.0용제판매소192657.279091450655.913637<NA><NA>
643130000200731301180150001119920605<NA>1영업/정상7영업개시<NA><NA><NA><NA>02 325 5533647.9<NA>서울특별시 마포구 성산동 103-8서울특별시 마포구 월드컵북로 113 (성산동)<NA>청원주유소2022-01-07 16:11:18U2022-01-09 02:40:00.0주유소192265.944509451219.654274<NA><NA>
653130000200831301180150000120091109<NA>3폐업3폐지20120903<NA><NA><NA>02 323 6700274.7<NA>서울특별시 마포구 성산동 41-7서울특별시 마포구 월드컵북로 97 (성산동)<NA>경성주유소2012-09-04 09:03:29I2018-08-31 23:59:59.0주유소192366.166346451088.797242<NA><NA>
663130000200931301180150000120091021<NA>3폐업3폐지20110830<NA><NA><NA>02 22910435<NA><NA>서울특별시 마포구 망원동 471-18 두영빌딩 402호서울특별시 마포구 방울내로11길 23 (망원동,두영빌딩 402호)<NA>(주)대호켐2011-09-01 16:30:28I2018-08-31 23:59:59.0용제판매소191434.555728451060.79908<NA><NA>
673130000201031301180150000120100407<NA>1영업/정상1신규등록<NA><NA><NA><NA>027147515<NA><NA>서울특별시 마포구 공덕동 253-42 지방재정회관 8층서울특별시 마포구 마포대로 136, 지방재정회관 8층 (공덕동)4212(주)씨씨엘인터내셔날2022-05-23 17:02:37U2021-12-04 22:05:00.0용제판매소195801.332676449344.223769<NA><NA>
683130000201731301610150000120171103<NA>1영업/정상7영업개시<NA><NA><NA><NA>336-1687399.7<NA>서울특별시 마포구 성산동 228-7 마포시엠주유소서울특별시 마포구 월드컵북로 62 (성산동)3986마포시엠주유소2022-12-13 16:08:55U2021-11-01 23:05:00.0주유소192608.240874450831.130439<NA><NA>
69313000020243130266015000012024-01-29<NA>1영업/정상1신규등록<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 성산동 51-2 골든빌오피스텔서울특별시 마포구 월드컵북로12안길 89, 골든빌오피스텔 201호 (성산동)3972유성정밀화학2024-01-29 11:20:08I2023-11-30 21:01:00.0용제판매소192211.112758451428.429171<NA><NA>