Overview

Dataset statistics

Number of variables27
Number of observations139
Missing cells1147
Missing cells (%)30.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.1 KiB
Average record size in memory228.9 B

Variable types

Categorical8
Numeric5
DateTime7
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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-19074/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (90.8%)Imbalance
폐업일자 has 101 (72.7%) missing valuesMissing
휴업시작일자 has 135 (97.1%) missing valuesMissing
휴업종료일자 has 135 (97.1%) missing valuesMissing
재개업일자 has 129 (92.8%) missing valuesMissing
전화번호 has 2 (1.4%) missing valuesMissing
소재지면적 has 56 (40.3%) missing valuesMissing
소재지우편번호 has 139 (100.0%) missing valuesMissing
도로명주소 has 17 (12.2%) missing valuesMissing
도로명우편번호 has 133 (95.7%) missing valuesMissing
좌표정보(X) has 11 (7.9%) missing valuesMissing
좌표정보(Y) has 11 (7.9%) missing valuesMissing
자본금 has 139 (100.0%) missing valuesMissing
거래처 has 139 (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 02:19:52.386504
Analysis finished2024-05-11 02:19:53.820313
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3220000
139 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 139
100.0%

Length

2024-05-11T02:19:54.395772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:19:54.899240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 139
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9945954 × 1018
Minimum1.975322 × 1018
Maximum2.023322 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T02:19:55.907743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.975322 × 1018
5-th percentile1.980322 × 1018
Q11.991322 × 1018
median1.993322 × 1018
Q32.001322 × 1018
95-th percentile2.008322 × 1018
Maximum2.023322 × 1018
Range4.8000009 × 1016
Interquartile range (IQR)1 × 1016

Descriptive statistics

Standard deviation8.2828678 × 1015
Coefficient of variation (CV)0.0041526556
Kurtosis1.1324332
Mean1.9945954 × 1018
Median Absolute Deviation (MAD)4 × 1015
Skewness0.37096869
Sum5.4759815 × 1017
Variance6.8605899 × 1031
MonotonicityStrictly increasing
2024-05-11T02:19:56.700332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1975322008301200003 1
 
0.7%
1997322008301500100 1
 
0.7%
1994322008301500092 1
 
0.7%
1994322017601500093 1
 
0.7%
1995322008301500095 1
 
0.7%
1996322008301200058 1
 
0.7%
1996322008301500091 1
 
0.7%
1997322008301500099 1
 
0.7%
1997322008301500101 1
 
0.7%
1994322008301500089 1
 
0.7%
Other values (129) 129
92.8%
ValueCountFrequency (%)
1975322008301200003 1
0.7%
1975322008301200005 1
0.7%
1976322008301500001 1
0.7%
1976322008301500004 1
0.7%
1979322008301200009 1
0.7%
1980322008301200010 1
0.7%
1980322008301200011 1
0.7%
1980322008301500008 1
0.7%
1981322008301500007 1
0.7%
1981322008301500010 1
0.7%
ValueCountFrequency (%)
2023322017601200001 1
0.7%
2019322017601500001 1
0.7%
2018322017601200001 1
0.7%
2009322017601500021 1
0.7%
2008322012701500004 1
0.7%
2008322012701500003 1
0.7%
2008322012701500002 1
0.7%
2008322012701500001 1
0.7%
2007322012701500001 1
0.7%
2007322011101500001 1
0.7%

인허가일자
Date

Distinct105
Distinct (%)75.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1975-02-13 00:00:00
Maximum2023-04-07 00:00:00
2024-05-11T02:19:57.182775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:19:57.711002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
136 
20210127
 
1
20120530
 
1
20091231
 
1

Length

Max length8
Median length4
Mean length4.0863309
Min length4

Unique

Unique3 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 136
97.8%
20210127 1
 
0.7%
20120530 1
 
0.7%
20091231 1
 
0.7%

Length

2024-05-11T02:19:58.299297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:19:58.780984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 136
97.8%
20210127 1
 
0.7%
20120530 1
 
0.7%
20091231 1
 
0.7%

영업상태코드
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
96 
1
40 
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 96
69.1%
1 40
28.8%
4 3
 
2.2%

Length

2024-05-11T02:19:59.216811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:19:59.529446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 96
69.1%
1 40
28.8%
4 3
 
2.2%

영업상태명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
96 
영업/정상
40 
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length2
Mean length3.1223022
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 96
69.1%
영업/정상 40
28.8%
취소/말소/만료/정지/중지 3
 
2.2%

Length

2024-05-11T02:19:59.897419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:20:00.525625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 96
69.1%
영업/정상 40
28.8%
취소/말소/만료/정지/중지 3
 
2.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
96 
1
29 
6
 
7
7
 
4
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 96
69.1%
1 29
 
20.9%
6 7
 
5.0%
7 4
 
2.9%
2 3
 
2.2%

Length

2024-05-11T02:20:00.979210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:20:01.424431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 96
69.1%
1 29
 
20.9%
6 7
 
5.0%
7 4
 
2.9%
2 3
 
2.2%

상세영업상태명
Categorical

Distinct5
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐지
96 
신규등록
29 
휴지사업재개
 
7
영업개시
 
4
등록취소
 
3

Length

Max length6
Median length2
Mean length2.7194245
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐지 96
69.1%
신규등록 29
 
20.9%
휴지사업재개 7
 
5.0%
영업개시 4
 
2.9%
등록취소 3
 
2.2%

Length

2024-05-11T02:20:02.065727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:20:02.568558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐지 96
69.1%
신규등록 29
 
20.9%
휴지사업재개 7
 
5.0%
영업개시 4
 
2.9%
등록취소 3
 
2.2%

폐업일자
Date

MISSING 

Distinct35
Distinct (%)92.1%
Missing101
Missing (%)72.7%
Memory size1.2 KiB
Minimum2007-04-23 00:00:00
Maximum2023-11-02 00:00:00
2024-05-11T02:20:02.909426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:20:03.320166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

휴업시작일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing135
Missing (%)97.1%
Memory size1.2 KiB
Minimum2011-07-23 00:00:00
Maximum2015-03-23 00:00:00
2024-05-11T02:20:03.734832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:20:04.158987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

휴업종료일자
Date

MISSING 

Distinct3
Distinct (%)75.0%
Missing135
Missing (%)97.1%
Memory size1.2 KiB
Minimum2011-09-20 00:00:00
Maximum2015-04-30 00:00:00
2024-05-11T02:20:04.460250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:20:04.850582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

재개업일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing129
Missing (%)92.8%
Memory size1.2 KiB
Minimum2009-07-08 00:00:00
Maximum2023-03-30 00:00:00
2024-05-11T02:20:05.278582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:20:05.619505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

전화번호
Text

MISSING 

Distinct132
Distinct (%)96.4%
Missing2
Missing (%)1.4%
Memory size1.2 KiB
2024-05-11T02:20:06.483848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length10.014599
Min length7

Characters and Unicode

Total characters1372
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

Unique128 ?
Unique (%)93.4%

Sample

1st row02 5685729
2nd row02 5626496
3rd row02 5430787
4th row02 5424374
5th row02 516 8801
ValueCountFrequency (%)
02 94
37.6%
0234497180 3
 
1.2%
541 2
 
0.8%
5787250 2
 
0.8%
0220581329 2
 
0.8%
562 2
 
0.8%
0237020900 2
 
0.8%
542 2
 
0.8%
2264963 1
 
0.4%
5129257 1
 
0.4%
Other values (139) 139
55.6%
2024-05-11T02:20:07.721104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 221
16.1%
2 198
14.4%
5 188
13.7%
4 142
10.3%
135
9.8%
1 110
8.0%
6 89
6.5%
3 83
 
6.0%
7 75
 
5.5%
8 65
 
4.7%
Other values (2) 66
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1233
89.9%
Space Separator 135
 
9.8%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 221
17.9%
2 198
16.1%
5 188
15.2%
4 142
11.5%
1 110
8.9%
6 89
7.2%
3 83
 
6.7%
7 75
 
6.1%
8 65
 
5.3%
9 62
 
5.0%
Space Separator
ValueCountFrequency (%)
135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 221
16.1%
2 198
14.4%
5 188
13.7%
4 142
10.3%
135
9.8%
1 110
8.0%
6 89
6.5%
3 83
 
6.0%
7 75
 
5.5%
8 65
 
4.7%
Other values (2) 66
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 221
16.1%
2 198
14.4%
5 188
13.7%
4 142
10.3%
135
9.8%
1 110
8.0%
6 89
6.5%
3 83
 
6.0%
7 75
 
5.5%
8 65
 
4.7%
Other values (2) 66
 
4.8%

소재지면적
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)95.2%
Missing56
Missing (%)40.3%
Infinite0
Infinite (%)0.0%
Mean953.83229
Minimum0
Maximum2363.7
Zeros1
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T02:20:08.169236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile361.28
Q1638.3
median891.2
Q31235.25
95-th percentile1757.4
Maximum2363.7
Range2363.7
Interquartile range (IQR)596.95

Descriptive statistics

Standard deviation464.42582
Coefficient of variation (CV)0.48690511
Kurtosis0.50961247
Mean953.83229
Median Absolute Deviation (MAD)279.8
Skewness0.70938711
Sum79168.08
Variance215691.34
MonotonicityNot monotonic
2024-05-11T02:20:08.747608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
990.8 2
 
1.4%
1405.0 2
 
1.4%
670.0 2
 
1.4%
2013.3 2
 
1.4%
245.0 1
 
0.7%
1288.0 1
 
0.7%
836.8 1
 
0.7%
1231.0 1
 
0.7%
757.1 1
 
0.7%
882.0 1
 
0.7%
Other values (69) 69
49.6%
(Missing) 56
40.3%
ValueCountFrequency (%)
0.0 1
0.7%
100.0 1
0.7%
245.0 1
0.7%
350.6 1
0.7%
360.8 1
0.7%
365.6 1
0.7%
401.0 1
0.7%
401.3 1
0.7%
406.4 1
0.7%
487.3 1
0.7%
ValueCountFrequency (%)
2363.7 1
0.7%
2126.0 1
0.7%
2013.3 2
1.4%
1758.0 1
0.7%
1752.0 1
0.7%
1630.0 1
0.7%
1557.0 1
0.7%
1529.0 1
0.7%
1517.6 1
0.7%
1506.1 1
0.7%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

지번주소
Text

Distinct132
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T02:20:09.364221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length33
Mean length21.553957
Min length17

Characters and Unicode

Total characters2996
Distinct characters102
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

Unique125 ?
Unique (%)89.9%

Sample

1st row서울특별시 강남구 역삼동 765
2nd row서울특별시 강남구 역삼동 706-18
3rd row서울특별시 강남구 논현동 94
4th row서울특별시 강남구 청담동 131-5
5th row서울특별시 강남구 신사동 660-6
ValueCountFrequency (%)
서울특별시 139
23.1%
강남구 139
23.1%
역삼동 29
 
4.8%
논현동 29
 
4.8%
삼성동 13
 
2.2%
대치동 13
 
2.2%
신사동 12
 
2.0%
청담동 11
 
1.8%
도곡동 11
 
1.8%
포이동 5
 
0.8%
Other values (176) 202
33.5%
2024-05-11T02:20:10.672863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
562
18.8%
서 146
 
4.9%
동 141
 
4.7%
남 140
 
4.7%
특 139
 
4.6%
별 139
 
4.6%
시 139
 
4.6%
강 139
 
4.6%
구 139
 
4.6%
울 139
 
4.6%
Other values (92) 1173
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1674
55.9%
Decimal Number 614
 
20.5%
Space Separator 562
 
18.8%
Dash Punctuation 124
 
4.1%
Uppercase Letter 21
 
0.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 146
 
8.7%
동 141
 
8.4%
남 140
 
8.4%
특 139
 
8.3%
별 139
 
8.3%
시 139
 
8.3%
강 139
 
8.3%
구 139
 
8.3%
울 139
 
8.3%
삼 46
 
2.7%
Other values (67) 367
21.9%
Uppercase Letter
ValueCountFrequency (%)
E 4
19.0%
R 3
14.3%
O 3
14.3%
C 2
9.5%
K 2
9.5%
H 1
 
4.8%
V 1
 
4.8%
W 1
 
4.8%
T 1
 
4.8%
D 1
 
4.8%
Other values (2) 2
9.5%
Decimal Number
ValueCountFrequency (%)
1 127
20.7%
2 80
13.0%
7 58
9.4%
6 57
9.3%
8 55
9.0%
3 53
8.6%
4 49
 
8.0%
9 49
 
8.0%
5 46
 
7.5%
0 40
 
6.5%
Space Separator
ValueCountFrequency (%)
562
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1674
55.9%
Common 1301
43.4%
Latin 21
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 146
 
8.7%
동 141
 
8.4%
남 140
 
8.4%
특 139
 
8.3%
별 139
 
8.3%
시 139
 
8.3%
강 139
 
8.3%
구 139
 
8.3%
울 139
 
8.3%
삼 46
 
2.7%
Other values (67) 367
21.9%
Common
ValueCountFrequency (%)
562
43.2%
1 127
 
9.8%
- 124
 
9.5%
2 80
 
6.1%
7 58
 
4.5%
6 57
 
4.4%
8 55
 
4.2%
3 53
 
4.1%
4 49
 
3.8%
9 49
 
3.8%
Other values (3) 87
 
6.7%
Latin
ValueCountFrequency (%)
E 4
19.0%
R 3
14.3%
O 3
14.3%
C 2
9.5%
K 2
9.5%
H 1
 
4.8%
V 1
 
4.8%
W 1
 
4.8%
T 1
 
4.8%
D 1
 
4.8%
Other values (2) 2
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1674
55.9%
ASCII 1322
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
562
42.5%
1 127
 
9.6%
- 124
 
9.4%
2 80
 
6.1%
7 58
 
4.4%
6 57
 
4.3%
8 55
 
4.2%
3 53
 
4.0%
4 49
 
3.7%
9 49
 
3.7%
Other values (15) 108
 
8.2%
Hangul
ValueCountFrequency (%)
서 146
 
8.7%
동 141
 
8.4%
남 140
 
8.4%
특 139
 
8.3%
별 139
 
8.3%
시 139
 
8.3%
강 139
 
8.3%
구 139
 
8.3%
울 139
 
8.3%
삼 46
 
2.7%
Other values (67) 367
21.9%

도로명주소
Text

MISSING 

Distinct117
Distinct (%)95.9%
Missing17
Missing (%)12.2%
Memory size1.2 KiB
2024-05-11T02:20:11.310815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length39
Mean length25.868852
Min length22

Characters and Unicode

Total characters3156
Distinct characters117
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)91.8%

Sample

1st row서울특별시 강남구 도곡로57길 18 (역삼동)
2nd row서울특별시 강남구 언주로90길 12 (역삼동)
3rd row서울특별시 강남구 도산대로 334 (논현동)
4th row서울특별시 강남구 압구정로 330 (신사동)
5th row서울특별시 강남구 봉은사로 632 (삼성동)
ValueCountFrequency (%)
서울특별시 122
19.4%
강남구 122
19.4%
논현동 25
 
4.0%
역삼동 21
 
3.3%
신사동 12
 
1.9%
삼성동 11
 
1.7%
대치동 11
 
1.7%
봉은사로 11
 
1.7%
도곡동 10
 
1.6%
논현로 10
 
1.6%
Other values (176) 275
43.7%
2024-05-11T02:20:12.438112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
545
 
17.3%
동 140
 
4.4%
남 136
 
4.3%
강 132
 
4.2%
서 129
 
4.1%
구 127
 
4.0%
로 123
 
3.9%
) 122
 
3.9%
( 122
 
3.9%
울 122
 
3.9%
Other values (107) 1458
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1902
60.3%
Space Separator 545
 
17.3%
Decimal Number 428
 
13.6%
Close Punctuation 122
 
3.9%
Open Punctuation 122
 
3.9%
Uppercase Letter 19
 
0.6%
Other Punctuation 18
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 140
 
7.4%
남 136
 
7.2%
강 132
 
6.9%
서 129
 
6.8%
구 127
 
6.7%
로 123
 
6.5%
울 122
 
6.4%
별 122
 
6.4%
특 122
 
6.4%
시 122
 
6.4%
Other values (82) 627
33.0%
Uppercase Letter
ValueCountFrequency (%)
E 4
21.1%
O 3
15.8%
R 3
15.8%
C 2
10.5%
I 1
 
5.3%
V 1
 
5.3%
H 1
 
5.3%
K 1
 
5.3%
D 1
 
5.3%
T 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
2 79
18.5%
1 71
16.6%
3 60
14.0%
4 48
11.2%
0 37
8.6%
6 34
7.9%
5 32
7.5%
7 30
 
7.0%
8 22
 
5.1%
9 15
 
3.5%
Space Separator
ValueCountFrequency (%)
545
100.0%
Close Punctuation
ValueCountFrequency (%)
) 122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 122
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1902
60.3%
Common 1235
39.1%
Latin 19
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 140
 
7.4%
남 136
 
7.2%
강 132
 
6.9%
서 129
 
6.8%
구 127
 
6.7%
로 123
 
6.5%
울 122
 
6.4%
별 122
 
6.4%
특 122
 
6.4%
시 122
 
6.4%
Other values (82) 627
33.0%
Common
ValueCountFrequency (%)
545
44.1%
) 122
 
9.9%
( 122
 
9.9%
2 79
 
6.4%
1 71
 
5.7%
3 60
 
4.9%
4 48
 
3.9%
0 37
 
3.0%
6 34
 
2.8%
5 32
 
2.6%
Other values (4) 85
 
6.9%
Latin
ValueCountFrequency (%)
E 4
21.1%
O 3
15.8%
R 3
15.8%
C 2
10.5%
I 1
 
5.3%
V 1
 
5.3%
H 1
 
5.3%
K 1
 
5.3%
D 1
 
5.3%
T 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1902
60.3%
ASCII 1254
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
545
43.5%
) 122
 
9.7%
( 122
 
9.7%
2 79
 
6.3%
1 71
 
5.7%
3 60
 
4.8%
4 48
 
3.8%
0 37
 
3.0%
6 34
 
2.7%
5 32
 
2.6%
Other values (15) 104
 
8.3%
Hangul
ValueCountFrequency (%)
동 140
 
7.4%
남 136
 
7.2%
강 132
 
6.9%
서 129
 
6.8%
구 127
 
6.7%
로 123
 
6.5%
울 122
 
6.4%
별 122
 
6.4%
특 122
 
6.4%
시 122
 
6.4%
Other values (82) 627
33.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing133
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean6253.6667
Minimum6151
Maximum6332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T02:20:12.827458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6151
5-th percentile6168.5
Q16230.75
median6266
Q36282.5
95-th percentile6320.5
Maximum6332
Range181
Interquartile range (IQR)51.75

Descriptive statistics

Standard deviation61.911765
Coefficient of variation (CV)0.0099000744
Kurtosis0.94891654
Mean6253.6667
Median Absolute Deviation (MAD)32.5
Skewness-0.75360366
Sum37522
Variance3833.0667
MonotonicityNot monotonic
2024-05-11T02:20:13.260810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6286 1
 
0.7%
6272 1
 
0.7%
6332 1
 
0.7%
6260 1
 
0.7%
6151 1
 
0.7%
6221 1
 
0.7%
(Missing) 133
95.7%
ValueCountFrequency (%)
6151 1
0.7%
6221 1
0.7%
6260 1
0.7%
6272 1
0.7%
6286 1
0.7%
6332 1
0.7%
ValueCountFrequency (%)
6332 1
0.7%
6286 1
0.7%
6272 1
0.7%
6260 1
0.7%
6221 1
0.7%
6151 1
0.7%

사업장명
Text

Distinct134
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T02:20:13.989475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length8.4532374
Min length4

Characters and Unicode

Total characters1175
Distinct characters178
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)93.5%

Sample

1st row동일석유
2nd row금방석유
3rd row영동주유소
4th row대호주유소
5th row한양석유
ValueCountFrequency (%)
삼성석유 3
 
1.8%
대동석유 3
 
1.8%
에이치디현대오일뱅크(주 3
 
1.8%
직영 3
 
1.8%
주유소 3
 
1.8%
주식회사 2
 
1.2%
에이치디현대오일뱅크(주)직영 2
 
1.2%
주)비즈엠알오 2
 
1.2%
로데오주유소 2
 
1.2%
영동석유상사 1
 
0.6%
Other values (145) 145
85.8%
2024-05-11T02:20:15.488783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 142
 
12.1%
유 112
 
9.5%
소 81
 
6.9%
) 59
 
5.0%
( 58
 
4.9%
스 31
 
2.6%
30
 
2.6%
에 26
 
2.2%
대 26
 
2.2%
석 26
 
2.2%
Other values (168) 584
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 989
84.2%
Close Punctuation 59
 
5.0%
Open Punctuation 58
 
4.9%
Uppercase Letter 35
 
3.0%
Space Separator 30
 
2.6%
Other Symbol 2
 
0.2%
Lowercase Letter 1
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 142
 
14.4%
유 112
 
11.3%
소 81
 
8.2%
스 31
 
3.1%
에 26
 
2.6%
대 26
 
2.6%
석 26
 
2.6%
동 23
 
2.3%
이 21
 
2.1%
성 19
 
1.9%
Other values (152) 482
48.7%
Uppercase Letter
ValueCountFrequency (%)
S 12
34.3%
K 11
31.4%
G 3
 
8.6%
O 2
 
5.7%
L 2
 
5.7%
T 1
 
2.9%
N 1
 
2.9%
C 1
 
2.9%
M 1
 
2.9%
E 1
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 991
84.3%
Common 148
 
12.6%
Latin 36
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 142
 
14.3%
유 112
 
11.3%
소 81
 
8.2%
스 31
 
3.1%
에 26
 
2.6%
대 26
 
2.6%
석 26
 
2.6%
동 23
 
2.3%
이 21
 
2.1%
성 19
 
1.9%
Other values (153) 484
48.8%
Latin
ValueCountFrequency (%)
S 12
33.3%
K 11
30.6%
G 3
 
8.3%
O 2
 
5.6%
L 2
 
5.6%
T 1
 
2.8%
N 1
 
2.8%
C 1
 
2.8%
M 1
 
2.8%
E 1
 
2.8%
Common
ValueCountFrequency (%)
) 59
39.9%
( 58
39.2%
30
20.3%
1 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 989
84.2%
ASCII 184
 
15.7%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 142
 
14.4%
유 112
 
11.3%
소 81
 
8.2%
스 31
 
3.1%
에 26
 
2.6%
대 26
 
2.6%
석 26
 
2.6%
동 23
 
2.3%
이 21
 
2.1%
성 19
 
1.9%
Other values (152) 482
48.7%
ASCII
ValueCountFrequency (%)
) 59
32.1%
( 58
31.5%
30
16.3%
S 12
 
6.5%
K 11
 
6.0%
G 3
 
1.6%
O 2
 
1.1%
L 2
 
1.1%
T 1
 
0.5%
N 1
 
0.5%
Other values (5) 5
 
2.7%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

Distinct124
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2003-07-28 00:00:00
Maximum2024-03-27 09:47:58
2024-05-11T02:20:15.954506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:20:16.590659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
89 
U
50 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 89
64.0%
U 50
36.0%

Length

2024-05-11T02:20:17.205513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:20:17.508818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 89
64.0%
u 50
36.0%

데이터갱신일자
Date

Distinct26
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 21:00:00
2024-05-11T02:20:17.826613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:20:18.288737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

업태구분명
Categorical

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
주유소
88 
일반판매소
27 
용제판매소
21 
항공유판매소
 
3

Length

Max length6
Median length3
Mean length3.7553957
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주유소 88
63.3%
일반판매소 27
 
19.4%
용제판매소 21
 
15.1%
항공유판매소 3
 
2.2%

Length

2024-05-11T02:20:18.842905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:20:19.214252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주유소 88
63.3%
일반판매소 27
 
19.4%
용제판매소 21
 
15.1%
항공유판매소 3
 
2.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct118
Distinct (%)92.2%
Missing11
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean204142.01
Minimum201636.41
Maximum210464.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T02:20:19.682996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201636.41
5-th percentile202231.58
Q1202876.25
median203591.99
Q3204866.04
95-th percentile208937.76
Maximum210464.71
Range8828.2992
Interquartile range (IQR)1989.7822

Descriptive statistics

Standard deviation1874.2004
Coefficient of variation (CV)0.0091808657
Kurtosis2.2416956
Mean204142.01
Median Absolute Deviation (MAD)890.49074
Skewness1.574042
Sum26130178
Variance3512627.1
MonotonicityNot monotonic
2024-05-11T02:20:20.499029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204487.02666874 2
 
1.4%
203027.099967197 2
 
1.4%
203632.12323978 2
 
1.4%
208937.760652081 2
 
1.4%
204857.596666666 2
 
1.4%
202539.655122746 2
 
1.4%
202797.510666089 2
 
1.4%
206158.61252659 2
 
1.4%
204676.496289716 2
 
1.4%
202570.751957935 2
 
1.4%
Other values (108) 108
77.7%
(Missing) 11
 
7.9%
ValueCountFrequency (%)
201636.407849513 1
0.7%
201950.963698517 1
0.7%
201979.928732195 1
0.7%
202070.164260035 1
0.7%
202185.219455646 1
0.7%
202191.0 1
0.7%
202218.002835255 1
0.7%
202256.805678625 1
0.7%
202276.516227533 1
0.7%
202398.022535049 1
0.7%
ValueCountFrequency (%)
210464.707025061 1
0.7%
210431.701337646 1
0.7%
209384.9378607 1
0.7%
209144.783150288 1
0.7%
209132.634981055 1
0.7%
209052.072465426 1
0.7%
208937.760652081 2
1.4%
208336.040638796 1
0.7%
207702.130631811 1
0.7%
207382.3 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct118
Distinct (%)92.2%
Missing11
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean444724
Minimum440494.8
Maximum447403.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T02:20:21.076754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440494.8
5-th percentile442106.12
Q1443574.19
median444889.66
Q3446066.97
95-th percentile446898.25
Maximum447403.42
Range6908.6249
Interquartile range (IQR)2492.7766

Descriptive statistics

Standard deviation1587.6147
Coefficient of variation (CV)0.0035698876
Kurtosis-0.34528426
Mean444724
Median Absolute Deviation (MAD)1274.5878
Skewness-0.49024832
Sum56924672
Variance2520520.5
MonotonicityNot monotonic
2024-05-11T02:20:21.693996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441119.156988213 2
 
1.4%
445685.273683512 2
 
1.4%
443344.508404702 2
 
1.4%
442873.588039887 2
 
1.4%
446421.32 2
 
1.4%
445013.86449371 2
 
1.4%
444892.143052958 2
 
1.4%
443886.219903585 2
 
1.4%
445693.135248448 2
 
1.4%
446233.617918937 2
 
1.4%
Other values (108) 108
77.7%
(Missing) 11
 
7.9%
ValueCountFrequency (%)
440494.798489708 1
0.7%
440560.126560164 1
0.7%
441119.156988213 2
1.4%
441161.475 1
0.7%
441428.595399149 1
0.7%
442003.702746565 1
0.7%
442296.318789768 1
0.7%
442359.312990473 1
0.7%
442361.46641434 1
0.7%
442438.891398669 1
0.7%
ValueCountFrequency (%)
447403.423352087 1
0.7%
447334.651098516 1
0.7%
447172.478752861 1
0.7%
447066.572087477 1
0.7%
447012.177406333 1
0.7%
446916.784731258 1
0.7%
446913.836570578 1
0.7%
446869.307086395 1
0.7%
446781.1 1
0.7%
446730.548954636 1
0.7%

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

거래처
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
03220000197532200830120000319750213<NA>3폐업3폐지<NA><NA><NA><NA>02 5685729<NA><NA>서울특별시 강남구 역삼동 765서울특별시 강남구 도곡로57길 18 (역삼동)<NA>동일석유2012-02-17 11:32:52I2018-08-31 23:59:59.0일반판매소204430.316012443860.359159<NA><NA>
13220000197532200830120000519750708<NA>3폐업3폐지20070423<NA><NA><NA>02 5626496<NA><NA>서울특별시 강남구 역삼동 706-18서울특별시 강남구 언주로90길 12 (역삼동)<NA>금방석유2012-02-17 11:31:26I2018-08-31 23:59:59.0일반판매소203832.202385444455.752236<NA><NA>
23220000197632200830150000119760327<NA>3폐업3폐지<NA><NA><NA><NA>02 5430787<NA><NA>서울특별시 강남구 논현동 94서울특별시 강남구 도산대로 334 (논현동)<NA>영동주유소2003-07-28 00:00:00I2018-08-31 23:59:59.0주유소203336.821517446708.40392<NA><NA>
33220000197632200830150000419760517<NA>3폐업3폐지<NA><NA><NA><NA>02 54243741211.43<NA>서울특별시 강남구 청담동 131-5<NA><NA>대호주유소2006-04-20 00:00:00I2018-08-31 23:59:59.0주유소<NA><NA><NA><NA>
43220000197932200830120000919791206<NA>3폐업3폐지<NA><NA><NA><NA>02 516 8801<NA><NA>서울특별시 강남구 신사동 660-6서울특별시 강남구 압구정로 330 (신사동)<NA>한양석유2014-04-07 15:30:53I2018-08-31 23:59:59.0일반판매소203257.555575447334.651099<NA><NA>
53220000198032200830120001019800116<NA>3폐업3폐지20090908<NA><NA><NA>02 5571993<NA><NA>서울특별시 강남구 삼성동 162-7서울특별시 강남구 봉은사로 632 (삼성동)<NA>삼성석유2009-09-08 11:21:23I2018-08-31 23:59:59.0일반판매소205638.05445825.865<NA><NA>
63220000198032200830120001119800819<NA>3폐업3폐지20100616<NA><NA><NA>02 541 2828<NA><NA>서울특별시 강남구 논현동 66-34서울특별시 강남구 도산대로30길 24 (논현동)<NA>대성칼텍스(주)2010-06-16 16:30:10I2018-08-31 23:59:59.0일반판매소202570.751958446233.617919<NA><NA>
73220000198032200830150000819800424<NA>3폐업3폐지<NA><NA><NA><NA>02344971802013.3<NA>서울특별시 강남구 삼성동 71-9서울특별시 강남구 봉은사로 503 (삼성동)<NA>sK네트웍스(주) 오천주유소2012-02-16 22:21:44I2018-08-31 23:59:59.0주유소204676.49629445693.135248<NA><NA>
8322000019813220083015000071978-01-28<NA>1영업/정상6휴지사업재개<NA>2014-05-302014-09-30<NA>02545007201352.97<NA>서울특별시 강남구 삼성동 97-1서울특별시 강남구 봉은사로113길 51 (삼성동)<NA>대성석유(주) 동호주유소2023-10-27 11:25:28U2022-10-30 22:09:00.0주유소205647.006602446252.498125<NA><NA>
9322000019813220083015000101981-09-02<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 54211401027.0<NA>서울특별시 강남구 신사동 575-1서울특별시 강남구 압구정로 154 (신사동)<NA>(주)새서울 주유소2023-10-27 11:26:00U2022-10-30 22:09:00.0주유소202276.516228447066.572087<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)자본금거래처
129322000020073220111015000012009-01-13<NA>1영업/정상1신규등록<NA><NA><NA><NA>53851381506.1<NA>서울특별시 강남구 역삼동 679서울특별시 강남구 삼성로 563 (삼성동)<NA>지에스칼텍스(주) 삼성로주유소2024-03-27 09:34:07U2023-12-02 21:00:00.0주유소203184.108902444431.873863<NA><NA>
1303220000200732201270150000120071018<NA>3폐업3폐지<NA><NA><NA><NA>02344042000.0<NA>서울특별시 강남구 논현동 205-5 수산빌딩서울특별시 강남구 봉은사로 151 (논현동)<NA>(주)케이씨엔에이2014-02-26 18:03:56I2018-08-31 23:59:59.0용제판매소202684.886932444954.835842<NA><NA>
1313220000200832201270150000120080123<NA>3폐업3폐지20190903<NA><NA><NA>0237020900<NA><NA>서울특별시 강남구 삼성동 109-1 인우빌딩 4층서울특별시 강남구 영동대로112길 42 (삼성동,인우빌딩 4층)<NA>(주)비즈엠알오2021-08-05 18:20:00U2021-08-07 02:40:00.0용제판매소205559.15445914.69<NA><NA>
1323220000200832201270150000220080205<NA>3폐업3폐지<NA><NA><NA><NA>025392081<NA><NA>서울특별시 강남구 역삼동 705-1서울특별시 강남구 테헤란로 327 (역삼동)<NA>(주)씨엔에프엘2008-07-24 16:51:59I2018-08-31 23:59:59.0용제판매소204091.578937444708.18257<NA><NA>
1333220000200832201270150000320080423<NA>3폐업3폐지20121227<NA><NA><NA>000221498901<NA><NA>서울특별시 강남구 수서동 716 사이룩스오피스텔 서관 1006호서울특별시 강남구 광평로 295, 1006호 (수서동,사이룩스오피스텔 서관)<NA>성호교역(주)2013-01-03 13:37:26I2018-08-31 23:59:59.0용제판매소209144.78315442922.611327<NA><NA>
1343220000200832201270150000420081222<NA>3폐업3폐지20091007<NA><NA><NA>025611333<NA><NA>서울특별시 강남구 역삼동 798-26 손덕빌딩5층서울특별시 강남구 논현로63길 17 (역삼동,손덕빌딩5층)<NA>(주)알티브이몬스터2009-10-07 11:18:02I2018-08-31 23:59:59.0용제판매소203413.035313443388.281916<NA><NA>
1353220000200932201760150002120090204<NA>1영업/정상1신규등록<NA><NA><NA><NA>5446531<NA><NA>서울특별시 강남구 삼성동 52-9 삼성리치빌 101호서울특별시 강남구 학동로82길 6 (삼성동)<NA>(주)성일화공2015-12-07 17:51:33I2018-08-31 23:59:59.0용제판매소204450.364245446256.587948<NA><NA>
1363220000201832201760120000120180629<NA>1영업/정상1신규등록<NA><NA><NA><NA>070-7770-0066<NA><NA>서울특별시 강남구 도곡동 552-15 EVERRICH서울특별시 강남구 강남대로58길 61, EVERRICH (도곡동)6260슈프림에너지(주)2021-07-16 09:44:29U2021-07-18 02:40:00.0항공유판매소203187.249478443159.481174<NA><NA>
1373220000201932201760150000120191021<NA>1영업/정상1신규등록<NA><NA><NA><NA>02 743 9230<NA><NA>서울특별시 강남구 역삼동 702-1 KODECO TOWER서울특별시 강남구 테헤란로43길 8, KODECO TOWER (역삼동)6151(주)엘케이피앤피2019-10-21 11:41:47I2019-10-23 00:22:57.0용제판매소203839.037261444617.50525<NA><NA>
138322000020233220176012000012023-04-07<NA>1영업/정상7영업개시<NA><NA><NA><NA>02-565-1328<NA><NA>서울특별시 강남구 역삼동 719-4 도원빌딩서울특별시 강남구 테헤란로 222, 도원빌딩 8층 (역삼동)6221㈜그린오션화학2023-04-17 16:59:01U2022-12-03 23:09:00.0항공유판매소203528.845777444382.002258<NA><NA>