Overview

Dataset statistics

Number of variables27
Number of observations51
Missing cells343
Missing cells (%)24.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory233.6 B

Variable types

Categorical11
Numeric5
DateTime3
Unsupported4
Text4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),자본금,거래처
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-19052/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (82.5%)Imbalance
휴업종료일자 is highly imbalanced (82.5%)Imbalance
도로명우편번호 is highly imbalanced (82.5%)Imbalance
데이터갱신일자 is highly imbalanced (56.4%)Imbalance
인허가취소일자 has 51 (100.0%) missing valuesMissing
폐업일자 has 39 (76.5%) missing valuesMissing
재개업일자 has 46 (90.2%) missing valuesMissing
소재지면적 has 35 (68.6%) missing valuesMissing
소재지우편번호 has 51 (100.0%) missing valuesMissing
도로명주소 has 9 (17.6%) missing valuesMissing
좌표정보(X) has 5 (9.8%) missing valuesMissing
좌표정보(Y) has 5 (9.8%) missing valuesMissing
자본금 has 51 (100.0%) missing valuesMissing
거래처 has 51 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
전화번호 has unique valuesUnique
지번주소 has unique valuesUnique
사업장명 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 06:56:46.559889
Analysis finished2024-05-11 06:56:47.118932
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
3000000
51 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 51
100.0%

Length

2024-05-11T15:56:47.248941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:56:47.448288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 51
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9834569 × 1018
Minimum1.9593 × 1018
Maximum2.0183 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T15:56:47.687918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9593 × 1018
5-th percentile1.9688 × 1018
Q11.9738 × 1018
median1.9763 × 1018
Q31.9943 × 1018
95-th percentile2.0113 × 1018
Maximum2.0183 × 1018
Range5.9000009 × 1016
Interquartile range (IQR)2.05 × 1016

Descriptive statistics

Standard deviation1.4347646 × 1016
Coefficient of variation (CV)0.0072336566
Kurtosis-0.36627582
Mean1.9834569 × 1018
Median Absolute Deviation (MAD)7 × 1015
Skewness0.77289277
Sum8.9225801 × 1018
Variance2.0585494 × 1032
MonotonicityStrictly increasing
2024-05-11T15:56:47.983463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1959300007601500001 1
 
2.0%
1968300007601200001 1
 
2.0%
1976300007601500002 1
 
2.0%
1976300007601500003 1
 
2.0%
1982300007601200001 1
 
2.0%
1988300007601200001 1
 
2.0%
1989300007601200001 1
 
2.0%
1989300007601200002 1
 
2.0%
1993300007601500001 1
 
2.0%
1993300007601500002 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1959300007601500001 1
2.0%
1968300007601200001 1
2.0%
1968300007601200002 1
2.0%
1969300007601200001 1
2.0%
1969300007601200002 1
2.0%
1969300007601500001 1
2.0%
1970300007601200001 1
2.0%
1970300007601200002 1
2.0%
1970300007601200003 1
2.0%
1970300007601200004 1
2.0%
ValueCountFrequency (%)
2018300017001200001 1
2.0%
2015300017001200001 1
2.0%
2014300017001500001 1
2.0%
2008300012901500001 1
2.0%
2004300007601500001 1
2.0%
2002300007601500001 1
2.0%
2002300007601200001 1
2.0%
2000300007601500001 1
2.0%
1999300007601200001 1
2.0%
1996300007601500001 1
2.0%

인허가일자
Date

Distinct45
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum1959-09-10 00:00:00
Maximum2018-08-08 00:00:00
2024-05-11T15:56:48.288781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:56:48.635254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
3
34 
1
16 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 34
66.7%
1 16
31.4%
4 1
 
2.0%

Length

2024-05-11T15:56:49.040356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:56:49.286529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 34
66.7%
1 16
31.4%
4 1
 
2.0%

영업상태명
Categorical

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
폐업
34 
영업/정상
16 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.1764706
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 34
66.7%
영업/정상 16
31.4%
취소/말소/만료/정지/중지 1
 
2.0%

Length

2024-05-11T15:56:49.661758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:56:50.019561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 34
66.7%
영업/정상 16
31.4%
취소/말소/만료/정지/중지 1
 
2.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
3
34 
1
11 
6
5 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row6
2nd row3
3rd row3
4th row2
5th row1

Common Values

ValueCountFrequency (%)
3 34
66.7%
1 11
 
21.6%
6 5
 
9.8%
2 1
 
2.0%

Length

2024-05-11T15:56:50.247677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:56:50.430791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 34
66.7%
1 11
 
21.6%
6 5
 
9.8%
2 1
 
2.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
폐지
34 
신규등록
11 
휴지사업재개
5 
등록취소
 
1

Length

Max length6
Median length2
Mean length2.8627451
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐지 34
66.7%
신규등록 11
 
21.6%
휴지사업재개 5
 
9.8%
등록취소 1
 
2.0%

Length

2024-05-11T15:56:50.676455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:56:50.909620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 34
66.7%
신규등록 11
 
21.6%
휴지사업재개 5
 
9.8%
등록취소 1
 
2.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing39
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean20122441
Minimum20080502
Maximum20191015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T15:56:51.169888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080502
5-th percentile20080788
Q120098512
median20120260
Q320136052
95-th percentile20179748
Maximum20191015
Range110513
Interquartile range (IQR)37539.75

Descriptive statistics

Standard deviation34378.261
Coefficient of variation (CV)0.0017084538
Kurtosis-0.034130954
Mean20122441
Median Absolute Deviation (MAD)24449.5
Skewness0.72272384
Sum2.414693 × 108
Variance1.1818649 × 109
MonotonicityNot monotonic
2024-05-11T15:56:51.472377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20170529 1
 
2.0%
20120709 1
 
2.0%
20131029 1
 
2.0%
20081022 1
 
2.0%
20101214 1
 
2.0%
20120217 1
 
2.0%
20080502 1
 
2.0%
20151120 1
 
2.0%
20111231 1
 
2.0%
20090406 1
 
2.0%
Other values (2) 2
 
3.9%
(Missing) 39
76.5%
ValueCountFrequency (%)
20080502 1
2.0%
20081022 1
2.0%
20090406 1
2.0%
20101214 1
2.0%
20111231 1
2.0%
20120217 1
2.0%
20120302 1
2.0%
20120709 1
2.0%
20131029 1
2.0%
20151120 1
2.0%
ValueCountFrequency (%)
20191015 1
2.0%
20170529 1
2.0%
20151120 1
2.0%
20131029 1
2.0%
20120709 1
2.0%
20120302 1
2.0%
20120217 1
2.0%
20111231 1
2.0%
20101214 1
2.0%
20090406 1
2.0%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
49 
20180410
 
1
20171206
 
1

Length

Max length8
Median length4
Mean length4.1568627
Min length4

Unique

Unique2 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
96.1%
20180410 1
 
2.0%
20171206 1
 
2.0%

Length

2024-05-11T15:56:51.793094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:56:52.064382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
96.1%
20180410 1
 
2.0%
20171206 1
 
2.0%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
49 
20180520
 
1
20180115
 
1

Length

Max length8
Median length4
Mean length4.1568627
Min length4

Unique

Unique2 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
96.1%
20180520 1
 
2.0%
20180115 1
 
2.0%

Length

2024-05-11T15:56:52.431737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:56:52.661330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
96.1%
20180520 1
 
2.0%
20180115 1
 
2.0%

재개업일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing46
Missing (%)90.2%
Memory size540.0 B
Minimum2011-01-20 00:00:00
Maximum2024-04-03 00:00:00
2024-05-11T15:56:52.838800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:56:53.037716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

전화번호
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-05-11T15:56:53.363954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.078431
Min length7

Characters and Unicode

Total characters565
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

Unique51 ?
Unique (%)100.0%

Sample

1st row02 7348738
2nd row02 765 4465
3rd row02 733 1130
4th row02 379 2228
5th row02 379 2352
ValueCountFrequency (%)
02 44
36.4%
762 4
 
3.3%
379 3
 
2.5%
736 2
 
1.7%
735 2
 
1.7%
743 2
 
1.7%
765 2
 
1.7%
763 2
 
1.7%
733 2
 
1.7%
7653811 1
 
0.8%
Other values (57) 57
47.1%
2024-05-11T15:56:53.970036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100
17.7%
2 91
16.1%
0 80
14.2%
7 63
11.2%
3 58
10.3%
4 35
 
6.2%
5 33
 
5.8%
6 31
 
5.5%
9 27
 
4.8%
8 26
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 465
82.3%
Space Separator 100
 
17.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 91
19.6%
0 80
17.2%
7 63
13.5%
3 58
12.5%
4 35
 
7.5%
5 33
 
7.1%
6 31
 
6.7%
9 27
 
5.8%
8 26
 
5.6%
1 21
 
4.5%
Space Separator
ValueCountFrequency (%)
100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 565
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
100
17.7%
2 91
16.1%
0 80
14.2%
7 63
11.2%
3 58
10.3%
4 35
 
6.2%
5 33
 
5.8%
6 31
 
5.5%
9 27
 
4.8%
8 26
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 565
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
100
17.7%
2 91
16.1%
0 80
14.2%
7 63
11.2%
3 58
10.3%
4 35
 
6.2%
5 33
 
5.8%
6 31
 
5.5%
9 27
 
4.8%
8 26
 
4.6%

소재지면적
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing35
Missing (%)68.6%
Infinite0
Infinite (%)0.0%
Mean755.12
Minimum210.9
Maximum1630.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T15:56:54.182026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210.9
5-th percentile368.475
Q1540.68
median633
Q3825.5
95-th percentile1578.4075
Maximum1630.63
Range1419.73
Interquartile range (IQR)284.82

Descriptive statistics

Standard deviation388.88067
Coefficient of variation (CV)0.51499188
Kurtosis1.2959517
Mean755.12
Median Absolute Deviation (MAD)148.44
Skewness1.2788606
Sum12081.92
Variance151228.18
MonotonicityNot monotonic
2024-05-11T15:56:54.804381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
550.2 1
 
2.0%
714.0 1
 
2.0%
1138.06 1
 
2.0%
746.72 1
 
2.0%
1561.0 1
 
2.0%
512.12 1
 
2.0%
432.0 1
 
2.0%
421.0 1
 
2.0%
210.9 1
 
2.0%
875.0 1
 
2.0%
Other values (6) 6
 
11.8%
(Missing) 35
68.6%
ValueCountFrequency (%)
210.9 1
2.0%
421.0 1
2.0%
432.0 1
2.0%
512.12 1
2.0%
550.2 1
2.0%
603.29 1
2.0%
612.0 1
2.0%
624.0 1
2.0%
642.0 1
2.0%
714.0 1
2.0%
ValueCountFrequency (%)
1630.63 1
2.0%
1561.0 1
2.0%
1138.06 1
2.0%
875.0 1
2.0%
809.0 1
2.0%
746.72 1
2.0%
714.0 1
2.0%
642.0 1
2.0%
624.0 1
2.0%
612.0 1
2.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

지번주소
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-05-11T15:56:55.266735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length20.803922
Min length16

Characters and Unicode

Total characters1061
Distinct characters82
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 경운동 96-18
2nd row서울특별시 종로구 익선동 123-2
3rd row서울특별시 종로구 사직동 65-1
4th row서울특별시 종로구 평창동 300-1
5th row서울특별시 종로구 부암동 162-1 6통6반
ValueCountFrequency (%)
서울특별시 51
23.2%
종로구 51
23.2%
평창동 6
 
2.7%
이화동 4
 
1.8%
숭인동 4
 
1.8%
사직동 3
 
1.4%
창신동 3
 
1.4%
8층 2
 
0.9%
와룡동 2
 
0.9%
수송동 2
 
0.9%
Other values (89) 92
41.8%
2024-05-11T15:56:56.004968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
216
20.4%
1 59
 
5.6%
로 53
 
5.0%
별 52
 
4.9%
종 52
 
4.9%
울 51
 
4.8%
구 51
 
4.8%
서 51
 
4.8%
시 51
 
4.8%
특 51
 
4.8%
Other values (72) 374
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 599
56.5%
Space Separator 216
 
20.4%
Decimal Number 209
 
19.7%
Dash Punctuation 37
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 53
8.8%
별 52
8.7%
종 52
8.7%
울 51
 
8.5%
구 51
 
8.5%
서 51
 
8.5%
시 51
 
8.5%
특 51
 
8.5%
동 49
 
8.2%
창 9
 
1.5%
Other values (60) 129
21.5%
Decimal Number
ValueCountFrequency (%)
1 59
28.2%
2 35
16.7%
3 22
 
10.5%
0 19
 
9.1%
6 16
 
7.7%
5 16
 
7.7%
8 14
 
6.7%
4 11
 
5.3%
9 11
 
5.3%
7 6
 
2.9%
Space Separator
ValueCountFrequency (%)
216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 599
56.5%
Common 462
43.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 53
8.8%
별 52
8.7%
종 52
8.7%
울 51
 
8.5%
구 51
 
8.5%
서 51
 
8.5%
시 51
 
8.5%
특 51
 
8.5%
동 49
 
8.2%
창 9
 
1.5%
Other values (60) 129
21.5%
Common
ValueCountFrequency (%)
216
46.8%
1 59
 
12.8%
- 37
 
8.0%
2 35
 
7.6%
3 22
 
4.8%
0 19
 
4.1%
6 16
 
3.5%
5 16
 
3.5%
8 14
 
3.0%
4 11
 
2.4%
Other values (2) 17
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 599
56.5%
ASCII 462
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
216
46.8%
1 59
 
12.8%
- 37
 
8.0%
2 35
 
7.6%
3 22
 
4.8%
0 19
 
4.1%
6 16
 
3.5%
5 16
 
3.5%
8 14
 
3.0%
4 11
 
2.4%
Other values (2) 17
 
3.7%
Hangul
ValueCountFrequency (%)
로 53
8.8%
별 52
8.7%
종 52
8.7%
울 51
 
8.5%
구 51
 
8.5%
서 51
 
8.5%
시 51
 
8.5%
특 51
 
8.5%
동 49
 
8.2%
창 9
 
1.5%
Other values (60) 129
21.5%

도로명주소
Text

MISSING 

Distinct41
Distinct (%)97.6%
Missing9
Missing (%)17.6%
Memory size540.0 B
2024-05-11T15:56:56.524118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length25.952381
Min length18

Characters and Unicode

Total characters1090
Distinct characters101
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

Unique40 ?
Unique (%)95.2%

Sample

1st row서울특별시 종로구 율곡로 58 (경운동)
2nd row서울특별시 종로구 삼일대로30길 46 (익선동)
3rd row서울특별시 종로구 세검정로 317 (평창동)
4th row서울특별시 종로구 자하문로 245 (부암동)
5th row서울특별시 종로구 율곡로 6 (중학동)
ValueCountFrequency (%)
서울특별시 42
 
19.0%
종로구 42
 
19.0%
평창동 5
 
2.3%
율곡로 5
 
2.3%
평창문화로 4
 
1.8%
숭인동 4
 
1.8%
자하문로 3
 
1.4%
이화동 2
 
0.9%
창신동 2
 
0.9%
사직로 2
 
0.9%
Other values (102) 110
49.8%
2024-05-11T15:56:57.399512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
195
17.9%
로 76
 
7.0%
종 46
 
4.2%
동 44
 
4.0%
별 43
 
3.9%
서 42
 
3.9%
구 42
 
3.9%
울 42
 
3.9%
시 42
 
3.9%
특 42
 
3.9%
Other values (91) 476
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 659
60.5%
Space Separator 195
 
17.9%
Decimal Number 143
 
13.1%
Close Punctuation 41
 
3.8%
Open Punctuation 41
 
3.8%
Other Punctuation 8
 
0.7%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 76
 
11.5%
종 46
 
7.0%
동 44
 
6.7%
별 43
 
6.5%
서 42
 
6.4%
구 42
 
6.4%
울 42
 
6.4%
시 42
 
6.4%
특 42
 
6.4%
길 22
 
3.3%
Other values (76) 218
33.1%
Decimal Number
ValueCountFrequency (%)
1 34
23.8%
2 21
14.7%
4 16
11.2%
3 16
11.2%
5 13
 
9.1%
0 11
 
7.7%
6 10
 
7.0%
7 8
 
5.6%
8 8
 
5.6%
9 6
 
4.2%
Space Separator
ValueCountFrequency (%)
195
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 659
60.5%
Common 431
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 76
 
11.5%
종 46
 
7.0%
동 44
 
6.7%
별 43
 
6.5%
서 42
 
6.4%
구 42
 
6.4%
울 42
 
6.4%
시 42
 
6.4%
특 42
 
6.4%
길 22
 
3.3%
Other values (76) 218
33.1%
Common
ValueCountFrequency (%)
195
45.2%
) 41
 
9.5%
( 41
 
9.5%
1 34
 
7.9%
2 21
 
4.9%
4 16
 
3.7%
3 16
 
3.7%
5 13
 
3.0%
0 11
 
2.6%
6 10
 
2.3%
Other values (5) 33
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 659
60.5%
ASCII 431
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
195
45.2%
) 41
 
9.5%
( 41
 
9.5%
1 34
 
7.9%
2 21
 
4.9%
4 16
 
3.7%
3 16
 
3.7%
5 13
 
3.0%
0 11
 
2.6%
6 10
 
2.3%
Other values (5) 33
 
7.7%
Hangul
ValueCountFrequency (%)
로 76
 
11.5%
종 46
 
7.0%
동 44
 
6.7%
별 43
 
6.5%
서 42
 
6.4%
구 42
 
6.4%
울 42
 
6.4%
시 42
 
6.4%
특 42
 
6.4%
길 22
 
3.3%
Other values (76) 218
33.1%

도로명우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
49 
3149
 
1
3143
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
96.1%
3149 1
 
2.0%
3143 1
 
2.0%

Length

2024-05-11T15:56:57.696045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:56:57.893267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
96.1%
3149 1
 
2.0%
3143 1
 
2.0%

사업장명
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-05-11T15:56:58.213182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length6.9019608
Min length3

Characters and Unicode

Total characters352
Distinct characters109
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

Unique51 ?
Unique (%)100.0%

Sample

1st row에이치디현대오일뱅크(주)직영 재동주유소
2nd row형제석유
3rd row순흥석유
4th row평창광유
5th row자문석유
ValueCountFrequency (%)
주식회사 3
 
5.2%
대양씨앤씨 2
 
3.4%
에이치디현대오일뱅크(주)직영 1
 
1.7%
주)미륭상사동대문주유소 1
 
1.7%
현대오일뱅크(주)돈화문주유소 1
 
1.7%
필운주유소 1
 
1.7%
창신석유 1
 
1.7%
기능석유 1
 
1.7%
동해석유 1
 
1.7%
동남석유 1
 
1.7%
Other values (45) 45
77.6%
2024-05-11T15:56:58.848841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 41
 
11.6%
주 31
 
8.8%
석 25
 
7.1%
소 14
 
4.0%
( 14
 
4.0%
) 14
 
4.0%
사 11
 
3.1%
대 9
 
2.6%
7
 
2.0%
상 7
 
2.0%
Other values (99) 179
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 309
87.8%
Open Punctuation 14
 
4.0%
Close Punctuation 14
 
4.0%
Space Separator 7
 
2.0%
Uppercase Letter 6
 
1.7%
Lowercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 41
 
13.3%
주 31
 
10.0%
석 25
 
8.1%
소 14
 
4.5%
사 11
 
3.6%
대 9
 
2.9%
상 7
 
2.3%
일 7
 
2.3%
동 6
 
1.9%
원 5
 
1.6%
Other values (88) 153
49.5%
Uppercase Letter
ValueCountFrequency (%)
K 1
16.7%
O 1
16.7%
R 1
16.7%
S 1
16.7%
M 1
16.7%
B 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
z 1
50.0%
i 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 309
87.8%
Common 35
 
9.9%
Latin 8
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 41
 
13.3%
주 31
 
10.0%
석 25
 
8.1%
소 14
 
4.5%
사 11
 
3.6%
대 9
 
2.9%
상 7
 
2.3%
일 7
 
2.3%
동 6
 
1.9%
원 5
 
1.6%
Other values (88) 153
49.5%
Latin
ValueCountFrequency (%)
z 1
12.5%
K 1
12.5%
i 1
12.5%
O 1
12.5%
R 1
12.5%
S 1
12.5%
M 1
12.5%
B 1
12.5%
Common
ValueCountFrequency (%)
( 14
40.0%
) 14
40.0%
7
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 309
87.8%
ASCII 43
 
12.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 41
 
13.3%
주 31
 
10.0%
석 25
 
8.1%
소 14
 
4.5%
사 11
 
3.6%
대 9
 
2.9%
상 7
 
2.3%
일 7
 
2.3%
동 6
 
1.9%
원 5
 
1.6%
Other values (88) 153
49.5%
ASCII
ValueCountFrequency (%)
( 14
32.6%
) 14
32.6%
7
16.3%
z 1
 
2.3%
K 1
 
2.3%
i 1
 
2.3%
O 1
 
2.3%
R 1
 
2.3%
S 1
 
2.3%
M 1
 
2.3%

최종수정일자
Date

Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2001-05-23 00:00:00
Maximum2024-04-08 13:47:23
2024-05-11T15:56:59.114337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:56:59.508247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
I
40 
U
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 40
78.4%
U 11
 
21.6%

Length

2024-05-11T15:56:59.799279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:56:59.994486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 40
78.4%
u 11
 
21.6%

데이터갱신일자
Categorical

IMBALANCE 

Distinct9
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size540.0 B
2018-08-31 23:59:59.0
40 
2023-12-04 00:03:00.0
 
2
2020-02-20 02:40:00.0
 
2
2021-11-01 21:00:00.0
 
2
2023-12-03 23:00:00.0
 
1
Other values (4)
 
4

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique5 ?
Unique (%)9.8%

Sample

1st row2023-12-04 00:03:00.0
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 40
78.4%
2023-12-04 00:03:00.0 2
 
3.9%
2020-02-20 02:40:00.0 2
 
3.9%
2021-11-01 21:00:00.0 2
 
3.9%
2023-12-03 23:00:00.0 1
 
2.0%
2020-12-27 02:40:00.0 1
 
2.0%
2019-03-10 02:40:00.0 1
 
2.0%
2019-10-17 02:40:00.0 1
 
2.0%
2021-02-23 02:40:00.0 1
 
2.0%

Length

2024-05-11T15:57:00.195988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:00.404944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 40
39.2%
23:59:59.0 40
39.2%
02:40:00.0 6
 
5.9%
2023-12-04 2
 
2.0%
00:03:00.0 2
 
2.0%
2020-02-20 2
 
2.0%
2021-11-01 2
 
2.0%
21:00:00.0 2
 
2.0%
2023-12-03 1
 
1.0%
23:00:00.0 1
 
1.0%
Other values (4) 4
 
3.9%

업태구분명
Categorical

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
일반판매소
28 
주유소
16 
용제판매소
5 
항공유판매소
 
2

Length

Max length6
Median length5
Mean length4.4117647
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반판매소 28
54.9%
주유소 16
31.4%
용제판매소 5
 
9.8%
항공유판매소 2
 
3.9%

Length

2024-05-11T15:57:00.676464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:57:00.868071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반판매소 28
54.9%
주유소 16
31.4%
용제판매소 5
 
9.8%
항공유판매소 2
 
3.9%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)100.0%
Missing5
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean198871.84
Minimum196228.15
Maximum201960.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T15:57:01.108438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196228.15
5-th percentile196738.18
Q1197349.75
median198837.09
Q3200268.53
95-th percentile201587.3
Maximum201960.95
Range5732.805
Interquartile range (IQR)2918.7853

Descriptive statistics

Standard deviation1658.6174
Coefficient of variation (CV)0.0083401319
Kurtosis-1.1943245
Mean198871.84
Median Absolute Deviation (MAD)1471.9377
Skewness0.17454408
Sum9148104.6
Variance2751011.6
MonotonicityNot monotonic
2024-05-11T15:57:01.370456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
197186.436038837 1
 
2.0%
200786.135746351 1
 
2.0%
200421.926842776 1
 
2.0%
197337.798317095 1
 
2.0%
201666.244566776 1
 
2.0%
197714.057733244 1
 
2.0%
196322.52833049 1
 
2.0%
196777.054251507 1
 
2.0%
200615.750419465 1
 
2.0%
197680.037565853 1
 
2.0%
Other values (36) 36
70.6%
(Missing) 5
 
9.8%
ValueCountFrequency (%)
196228.146333802 1
2.0%
196322.52833049 1
2.0%
196725.221696687 1
2.0%
196777.054251507 1
2.0%
196822.983447755 1
2.0%
196860.893154849 1
2.0%
196980.50632047 1
2.0%
197050.157490246 1
2.0%
197052.674990435 1
2.0%
197186.436038837 1
2.0%
ValueCountFrequency (%)
201960.951300031 1
2.0%
201888.008721996 1
2.0%
201666.244566776 1
2.0%
201350.473375538 1
2.0%
201064.814220878 1
2.0%
200908.39788121 1
2.0%
200786.135746351 1
2.0%
200615.750419465 1
2.0%
200530.128835513 1
2.0%
200421.926842776 1
2.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)100.0%
Missing5
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean453261.16
Minimum451827.23
Maximum456392.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T15:57:01.686193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451827.23
5-th percentile452216
Q1452463.15
median452672.1
Q3453146.07
95-th percentile456286.24
Maximum456392.89
Range4565.6587
Interquartile range (IQR)682.92636

Descriptive statistics

Standard deviation1340.6384
Coefficient of variation (CV)0.0029577615
Kurtosis0.67560132
Mean453261.16
Median Absolute Deviation (MAD)295.65136
Skewness1.4507803
Sum20850013
Variance1797311.3
MonotonicityNot monotonic
2024-05-11T15:57:02.049722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
453106.393727858 1
 
2.0%
452731.441681774 1
 
2.0%
452693.241917881 1
 
2.0%
456035.380951779 1
 
2.0%
452283.710424382 1
 
2.0%
456392.885561665 1
 
2.0%
455210.552274216 1
 
2.0%
454890.467554923 1
 
2.0%
452719.474159051 1
 
2.0%
456378.639524349 1
 
2.0%
Other values (36) 36
70.6%
(Missing) 5
 
9.8%
ValueCountFrequency (%)
451827.226901938 1
2.0%
452022.503467072 1
2.0%
452194.753527566 1
2.0%
452279.7442603 1
2.0%
452283.710424382 1
2.0%
452310.752960617 1
2.0%
452350.692231287 1
2.0%
452402.195269511 1
2.0%
452435.513921974 1
2.0%
452436.026382605 1
2.0%
ValueCountFrequency (%)
456392.885561665 1
2.0%
456378.639524349 1
2.0%
456368.075589 1
2.0%
456040.720889756 1
2.0%
456035.380951779 1
2.0%
455863.128343879 1
2.0%
455210.552274216 1
2.0%
454890.467554923 1
2.0%
454871.130949303 1
2.0%
454079.21337851 1
2.0%

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

거래처
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
0300000019593000076015000011959-09-10<NA>1영업/정상6휴지사업재개<NA><NA><NA>2023-02-2302 7348738421.0<NA>서울특별시 종로구 경운동 96-18서울특별시 종로구 율곡로 58 (경운동)<NA>에이치디현대오일뱅크(주)직영 재동주유소2024-04-01 11:12:16U2023-12-04 00:03:00.0주유소198679.806955452681.467827<NA><NA>
13000000196830000760120000119680831<NA>3폐업3폐지20170529<NA><NA><NA>02 765 4465<NA><NA>서울특별시 종로구 익선동 123-2서울특별시 종로구 삼일대로30길 46 (익선동)<NA>형제석유2017-05-29 17:38:47I2018-08-31 23:59:59.0일반판매소199063.924703452436.026383<NA><NA>
23000000196830000760120000219680913<NA>3폐업3폐지<NA><NA><NA><NA>02 733 1130<NA><NA>서울특별시 종로구 사직동 65-1<NA><NA>순흥석유2004-10-05 00:00:00I2018-08-31 23:59:59.0일반판매소<NA><NA><NA><NA>
33000000196930000760120000119690418<NA>4취소/말소/만료/정지/중지2등록취소<NA><NA><NA><NA>02 379 2228<NA><NA>서울특별시 종로구 평창동 300-1서울특별시 종로구 세검정로 317 (평창동)<NA>평창광유2015-12-02 09:53:40I2018-08-31 23:59:59.0일반판매소196860.893155455863.128344<NA><NA>
43000000196930000760120000219690115<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 379 2352<NA><NA>서울특별시 종로구 부암동 162-1 6통6반서울특별시 종로구 자하문로 245 (부암동)<NA>자문석유2017-01-06 17:46:58I2018-08-31 23:59:59.0일반판매소196725.221697454871.130949<NA><NA>
53000000196930000760150000119690706<NA>1영업/정상6휴지사업재개<NA><NA><NA>2011012002 7328780210.9<NA>서울특별시 종로구 중학동 14서울특별시 종로구 율곡로 6 (중학동)<NA>주식회사 대양씨앤씨 경복궁주유소2020-02-18 15:32:11U2020-02-20 02:40:00.0주유소198176.15924452574.671514<NA><NA>
63000000197030000760120000119700620<NA>3폐업3폐지20120709<NA><NA><NA>02 73544453<NA><NA>서울특별시 종로구 누상동 55-3 101호서울특별시 종로구 옥인길 19 (누상동)<NA>연합에너지2012-07-09 09:58:41I2018-08-31 23:59:59.0일반판매소197050.15749453147.507815<NA><NA>
73000000197030000760120000219700703<NA>3폐업3폐지20131029<NA><NA><NA>02 735 9890<NA><NA>서울특별시 종로구 평동 9-11서울특별시 종로구 경교장1길 18 (평동)<NA>서대문석유상사2013-10-29 17:09:27I2018-08-31 23:59:59.0일반판매소196822.983448451827.226902<NA><NA>
83000000197030000760120000319701127<NA>3폐업3폐지20081022<NA><NA><NA>02 736 2107<NA><NA>서울특별시 종로구 무악동 45-313서울특별시 종로구 통일로14길 6 (무악동)<NA>신진석유2009-03-17 13:00:14I2018-08-31 23:59:59.0일반판매소196228.146334452500.482861<NA><NA>
93000000197030000760120000419701124<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 7664446<NA><NA>서울특별시 종로구 인의동 2서울특별시 종로구 창경궁로 134-2 (인의동)<NA>인의석유2017-01-06 17:45:43I2018-08-31 23:59:59.0일반판매소199732.922359452435.513922<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
413000000199630000760150000119960425<NA>1영업/정상6휴지사업재개<NA>20171206201801152017122602 3796524714.0<NA>서울특별시 종로구 평창동 198-1서울특별시 종로구 평창문화로 90 (평창동)<NA>구도일주유소 특종2019-03-08 09:17:04U2019-03-10 02:40:00.0주유소197378.465557456040.72089<NA><NA>
423000000199930000760120000119991116<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 739 6283<NA><NA>서울특별시 종로구 익선동 21서울특별시 종로구 돈화문로11나길 66 (익선동)<NA>재동석유상사(주)2017-01-06 17:40:37I2018-08-31 23:59:59.0일반판매소198994.379759452565.804<NA><NA>
433000000200030000760150000120000317<NA>3폐업3폐지<NA><NA><NA><NA>02 7435123<NA><NA>서울특별시 종로구 수송동 146-1 이마빌딩 8층 400-21서울특별시 종로구 종로1길 42 (수송동,이마빌딩 8층 400-21)<NA>노스폴2004-02-05 00:00:00I2018-08-31 23:59:59.0용제판매소198076.878951452402.19527<NA><NA>
443000000200230000760120000120021004<NA>3폐업3폐지20090406<NA><NA><NA>02 22759411<NA><NA>서울특별시 종로구 이화동 124-1서울특별시 종로구 율곡로17길 7-38 (이화동)<NA>방산석유2009-04-07 09:02:39I2018-08-31 23:59:59.0일반판매소200285.716782452662.722397<NA><NA>
453000000200230000760150000120020607<NA>3폐업3폐지<NA><NA><NA><NA>0237020900<NA><NA>서울특별시 종로구 내자동 219 한누리빌딩 8층서울특별시 종로구 새문안로5가길 33 (내자동,한누리빌딩 8층)<NA>(주)BizMRO2002-08-14 00:00:00I2018-08-31 23:59:59.0용제판매소197539.97082452504.064126<NA><NA>
463000000200430000760150000120040113<NA>3폐업3폐지<NA><NA><NA><NA>02 7563387<NA><NA>서울특별시 종로구 연지동 30 삼원빌딩 202호서울특별시 종로구 창경궁로16길 29, 202호 (연지동,삼원빌딩)<NA>(주)현산케미칼2005-12-21 00:00:00I2018-08-31 23:59:59.0용제판매소199855.110473452477.85466<NA><NA>
473000000200830001290150000120080228<NA>3폐업3폐지20120302<NA><NA><NA>7233051<NA><NA>서울특별시 종로구 신문로1가 24 고려빌딩 411호서울특별시 종로구 새문안로 91 (신문로1가, 고려빌딩411호)<NA>(주)풍원석유2012-03-02 15:28:51I2018-08-31 23:59:59.0용제판매소197700.034014452022.503467<NA><NA>
483000000201430001700150000120141121<NA>3폐업3폐지20191015<NA><NA><NA>7439230<NA><NA>서울특별시 종로구 연건동 198-2 현송빌딩 5층2호서울특별시 종로구 율곡로 204, 5층 2호 (연건동, 현송빌딩)<NA>(주)엘케이피앤피2019-10-15 20:23:43U2019-10-17 02:40:00.0용제판매소200064.606756452621.221822<NA><NA>
493000000201530001700120000120151125<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 543 0394<NA><NA>서울특별시 종로구 관훈동 197-28 백상빌딩 별관동 1102호서울특별시 종로구 인사동7길 12, 백상빌딩 별관동 11층 1102호 (관훈동)3149(주)진세상사2021-02-19 16:48:35U2021-02-23 02:40:00.0항공유판매소198624.006469452310.752961<NA><NA>
503000000201830001700120000120180808<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 390 1718<NA><NA>서울특별시 종로구 수송동 110서울특별시 종로구 율곡로2길 25 (수송동)3143현대종합상사(주)2018-08-10 11:34:32I2018-08-31 23:59:59.0항공유판매소198207.000041452455.833165<NA><NA>