Overview

Dataset statistics

Number of variables27
Number of observations236
Missing cells1768
Missing cells (%)27.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory52.4 KiB
Average record size in memory227.6 B

Variable types

Categorical10
Numeric4
DateTime7
Unsupported3
Text3

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),제조구분명,사업장부지용도구분명
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-19023/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지면적 is highly imbalanced (91.2%)Imbalance
업태구분명 is highly imbalanced (81.7%)Imbalance
인허가취소일자 has 236 (100.0%) missing valuesMissing
폐업일자 has 94 (39.8%) missing valuesMissing
휴업시작일자 has 231 (97.9%) missing valuesMissing
휴업종료일자 has 231 (97.9%) missing valuesMissing
재개업일자 has 233 (98.7%) missing valuesMissing
전화번호 has 236 (100.0%) missing valuesMissing
소재지우편번호 has 236 (100.0%) missing valuesMissing
도로명주소 has 45 (19.1%) missing valuesMissing
도로명우편번호 has 210 (89.0%) missing valuesMissing
좌표정보(X) has 8 (3.4%) missing valuesMissing
좌표정보(Y) has 8 (3.4%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전화번호 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

Reproduction

Analysis started2024-05-11 06:15:32.780361
Analysis finished2024-05-11 06:15:33.836168
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3210000
236 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 236
100.0%

Length

2024-05-11T15:15:34.006506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:34.199140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 236
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct236
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0015117 × 1018
Minimum1.980321 × 1018
Maximum2.024321 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T15:15:34.534080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.980321 × 1018
5-th percentile1.988321 × 1018
Q11.993321 × 1018
median2.000321 × 1018
Q32.007571 × 1018
95-th percentile2.019571 × 1018
Maximum2.024321 × 1018
Range4.4000012 × 1016
Interquartile range (IQR)1.425 × 1016

Descriptive statistics

Standard deviation1.019479 × 1016
Coefficient of variation (CV)0.005093545
Kurtosis-0.72803023
Mean2.0015117 × 1018
Median Absolute Deviation (MAD)7.0000032 × 1015
Skewness0.48919398
Sum-7.2585872 × 1018
Variance1.0393374 × 1032
MonotonicityStrictly increasing
2024-05-11T15:15:34.818793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1980321007602200005 1
 
0.4%
2006321007602100007 1
 
0.4%
2004321007602100001 1
 
0.4%
2004321007602200001 1
 
0.4%
2004321007602200002 1
 
0.4%
2004321007602200003 1
 
0.4%
2004321007602200004 1
 
0.4%
2005321007602100001 1
 
0.4%
2005321007602200001 1
 
0.4%
2006321007602100002 1
 
0.4%
Other values (226) 226
95.8%
ValueCountFrequency (%)
1980321007602200005 1
0.4%
1982321007602200018 1
0.4%
1984321012202200010 1
0.4%
1986321012202100009 1
0.4%
1986321012202200010 1
0.4%
1986321012202200017 1
0.4%
1987321007602100132 1
0.4%
1987321010802200031 1
0.4%
1987321012202200030 1
0.4%
1987321012202200033 1
0.4%
ValueCountFrequency (%)
2024321019702100002 1
0.4%
2024321019702100001 1
0.4%
2023321019702200001 1
0.4%
2023321019702100001 1
0.4%
2022321019702100002 1
0.4%
2022321019702100001 1
0.4%
2021321019702100005 1
0.4%
2021321019702100004 1
0.4%
2021321019702100003 1
0.4%
2021321019702100002 1
0.4%

인허가일자
Date

Distinct197
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum1980-07-10 00:00:00
Maximum2024-04-18 00:00:00
2024-05-11T15:15:35.083473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:15:35.438695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing236
Missing (%)100.0%
Memory size2.2 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3
150 
1
82 
2
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 150
63.6%
1 82
34.7%
2 4
 
1.7%

Length

2024-05-11T15:15:35.721364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:35.879620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 150
63.6%
1 82
34.7%
2 4
 
1.7%

영업상태명
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
150 
영업/정상
82 
휴업
 
4

Length

Max length5
Median length2
Mean length3.0423729
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 150
63.6%
영업/정상 82
34.7%
휴업 4
 
1.7%

Length

2024-05-11T15:15:36.080969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:36.284614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 150
63.6%
영업/정상 82
34.7%
휴업 4
 
1.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3
150 
1
82 
2
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 150
63.6%
1 82
34.7%
2 4
 
1.7%

Length

2024-05-11T15:15:36.471562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:36.682026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 150
63.6%
1 82
34.7%
2 4
 
1.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
150 
영업중
82 
휴업
 
4

Length

Max length3
Median length2
Mean length2.3474576
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 150
63.6%
영업중 82
34.7%
휴업 4
 
1.7%

Length

2024-05-11T15:15:36.920388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:37.077833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 150
63.6%
영업중 82
34.7%
휴업 4
 
1.7%

폐업일자
Date

MISSING 

Distinct127
Distinct (%)89.4%
Missing94
Missing (%)39.8%
Memory size2.0 KiB
Minimum2003-02-11 00:00:00
Maximum2024-04-19 00:00:00
2024-05-11T15:15:37.258216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:15:37.514863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing231
Missing (%)97.9%
Memory size2.0 KiB
Minimum2021-02-01 00:00:00
Maximum2024-03-15 00:00:00
2024-05-11T15:15:37.739182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:15:37.912408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴업종료일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing231
Missing (%)97.9%
Memory size2.0 KiB
Minimum2021-03-01 00:00:00
Maximum2024-11-30 00:00:00
2024-05-11T15:15:38.074514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:15:38.275162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

재개업일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing233
Missing (%)98.7%
Memory size2.0 KiB
Minimum2017-04-18 00:00:00
Maximum2021-07-05 00:00:00
2024-05-11T15:15:38.445782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:15:38.643240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing236
Missing (%)100.0%
Memory size2.2 KiB

소재지면적
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
230 
33274.1
 
2
35364.7
 
1
4698.0
 
1
3070.0
 
1

Length

Max length7
Median length4
Mean length4.0508475
Min length3

Unique

Unique4 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 230
97.5%
33274.1 2
 
0.8%
35364.7 1
 
0.4%
4698.0 1
 
0.4%
3070.0 1
 
0.4%
1.0 1
 
0.4%

Length

2024-05-11T15:15:38.917176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:39.163631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 230
97.5%
33274.1 2
 
0.8%
35364.7 1
 
0.4%
4698.0 1
 
0.4%
3070.0 1
 
0.4%
1.0 1
 
0.4%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing236
Missing (%)100.0%
Memory size2.2 KiB

지번주소
Text

Distinct210
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-11T15:15:39.627929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length22.021186
Min length16

Characters and Unicode

Total characters5197
Distinct characters165
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique191 ?
Unique (%)80.9%

Sample

1st row서울특별시 서초구 반포동 723-26
2nd row서울특별시 서초구 서초동 1361-5
3rd row서울특별시 서초구 서초동 1581-13
4th row서울특별시 서초구 잠원동 37-12
5th row서울특별시 서초구 서초동 1602-4
ValueCountFrequency (%)
서울특별시 236
23.2%
서초구 236
23.2%
서초동 114
 
11.2%
반포동 32
 
3.1%
방배동 30
 
3.0%
양재동 29
 
2.9%
잠원동 11
 
1.1%
1317-23 10
 
1.0%
내곡동 10
 
1.0%
산 8
 
0.8%
Other values (246) 300
29.5%
2024-05-11T15:15:40.369110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
970
18.7%
서 593
 
11.4%
초 351
 
6.8%
1 271
 
5.2%
시 241
 
4.6%
울 239
 
4.6%
별 238
 
4.6%
특 238
 
4.6%
구 238
 
4.6%
동 237
 
4.6%
Other values (155) 1581
30.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2929
56.4%
Decimal Number 1063
 
20.5%
Space Separator 970
 
18.7%
Dash Punctuation 185
 
3.6%
Uppercase Letter 29
 
0.6%
Close Punctuation 9
 
0.2%
Open Punctuation 9
 
0.2%
Other Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 593
20.2%
초 351
12.0%
시 241
8.2%
울 239
8.2%
별 238
8.1%
특 238
8.1%
구 238
8.1%
동 237
 
8.1%
포 34
 
1.2%
반 33
 
1.1%
Other values (128) 487
16.6%
Uppercase Letter
ValueCountFrequency (%)
T 7
24.1%
W 4
13.8%
G 4
13.8%
E 3
10.3%
R 3
10.3%
O 3
10.3%
J 1
 
3.4%
K 1
 
3.4%
I 1
 
3.4%
D 1
 
3.4%
Decimal Number
ValueCountFrequency (%)
1 271
25.5%
3 132
12.4%
2 119
11.2%
5 104
 
9.8%
7 92
 
8.7%
4 91
 
8.6%
6 78
 
7.3%
0 75
 
7.1%
9 55
 
5.2%
8 46
 
4.3%
Space Separator
ValueCountFrequency (%)
970
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 185
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2929
56.4%
Common 2239
43.1%
Latin 29
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 593
20.2%
초 351
12.0%
시 241
8.2%
울 239
8.2%
별 238
8.1%
특 238
8.1%
구 238
8.1%
동 237
 
8.1%
포 34
 
1.2%
반 33
 
1.1%
Other values (128) 487
16.6%
Common
ValueCountFrequency (%)
970
43.3%
1 271
 
12.1%
- 185
 
8.3%
3 132
 
5.9%
2 119
 
5.3%
5 104
 
4.6%
7 92
 
4.1%
4 91
 
4.1%
6 78
 
3.5%
0 75
 
3.3%
Other values (6) 122
 
5.4%
Latin
ValueCountFrequency (%)
T 7
24.1%
W 4
13.8%
G 4
13.8%
E 3
10.3%
R 3
10.3%
O 3
10.3%
J 1
 
3.4%
K 1
 
3.4%
I 1
 
3.4%
D 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2929
56.4%
ASCII 2268
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
970
42.8%
1 271
 
11.9%
- 185
 
8.2%
3 132
 
5.8%
2 119
 
5.2%
5 104
 
4.6%
7 92
 
4.1%
4 91
 
4.0%
6 78
 
3.4%
0 75
 
3.3%
Other values (17) 151
 
6.7%
Hangul
ValueCountFrequency (%)
서 593
20.2%
초 351
12.0%
시 241
8.2%
울 239
8.2%
별 238
8.1%
특 238
8.1%
구 238
8.1%
동 237
 
8.1%
포 34
 
1.2%
반 33
 
1.1%
Other values (128) 487
16.6%

도로명주소
Text

MISSING 

Distinct176
Distinct (%)92.1%
Missing45
Missing (%)19.1%
Memory size2.0 KiB
2024-05-11T15:15:41.259143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length26.387435
Min length21

Characters and Unicode

Total characters5040
Distinct characters170
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)86.4%

Sample

1st row서울특별시 서초구 강남대로 509 (반포동)
2nd row서울특별시 서초구 강남대로 263 (서초동)
3rd row서울특별시 서초구 반포대로 76 (서초동)
4th row서울특별시 서초구 신반포로 339 (잠원동)
5th row서울특별시 서초구 효령로 285 (서초동)
ValueCountFrequency (%)
서울특별시 191
19.3%
서초구 191
19.3%
서초동 89
 
9.0%
반포동 24
 
2.4%
양재동 23
 
2.3%
방배동 21
 
2.1%
반포대로 17
 
1.7%
남부순환로 16
 
1.6%
강남대로 15
 
1.5%
효령로 14
 
1.4%
Other values (240) 391
39.4%
2024-05-11T15:15:42.256455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
855
17.0%
서 517
 
10.3%
초 319
 
6.3%
동 197
 
3.9%
) 195
 
3.9%
( 195
 
3.9%
시 195
 
3.9%
특 193
 
3.8%
별 192
 
3.8%
구 192
 
3.8%
Other values (160) 1990
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3118
61.9%
Space Separator 855
 
17.0%
Decimal Number 618
 
12.3%
Close Punctuation 195
 
3.9%
Open Punctuation 195
 
3.9%
Other Punctuation 34
 
0.7%
Dash Punctuation 13
 
0.3%
Uppercase Letter 11
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 517
16.6%
초 319
 
10.2%
동 197
 
6.3%
시 195
 
6.3%
특 193
 
6.2%
별 192
 
6.2%
구 192
 
6.2%
울 192
 
6.2%
로 183
 
5.9%
대 86
 
2.8%
Other values (134) 852
27.3%
Decimal Number
ValueCountFrequency (%)
1 136
22.0%
2 88
14.2%
3 65
10.5%
7 60
9.7%
4 55
8.9%
5 51
 
8.3%
6 48
 
7.8%
0 41
 
6.6%
9 39
 
6.3%
8 35
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
W 2
18.2%
E 1
9.1%
R 1
9.1%
O 1
9.1%
J 1
9.1%
T 1
9.1%
K 1
9.1%
I 1
9.1%
D 1
9.1%
C 1
9.1%
Space Separator
ValueCountFrequency (%)
855
100.0%
Close Punctuation
ValueCountFrequency (%)
) 195
100.0%
Open Punctuation
ValueCountFrequency (%)
( 195
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3118
61.9%
Common 1911
37.9%
Latin 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 517
16.6%
초 319
 
10.2%
동 197
 
6.3%
시 195
 
6.3%
특 193
 
6.2%
별 192
 
6.2%
구 192
 
6.2%
울 192
 
6.2%
로 183
 
5.9%
대 86
 
2.8%
Other values (134) 852
27.3%
Common
ValueCountFrequency (%)
855
44.7%
) 195
 
10.2%
( 195
 
10.2%
1 136
 
7.1%
2 88
 
4.6%
3 65
 
3.4%
7 60
 
3.1%
4 55
 
2.9%
5 51
 
2.7%
6 48
 
2.5%
Other values (6) 163
 
8.5%
Latin
ValueCountFrequency (%)
W 2
18.2%
E 1
9.1%
R 1
9.1%
O 1
9.1%
J 1
9.1%
T 1
9.1%
K 1
9.1%
I 1
9.1%
D 1
9.1%
C 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3118
61.9%
ASCII 1922
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
855
44.5%
) 195
 
10.1%
( 195
 
10.1%
1 136
 
7.1%
2 88
 
4.6%
3 65
 
3.4%
7 60
 
3.1%
4 55
 
2.9%
5 51
 
2.7%
6 48
 
2.5%
Other values (16) 174
 
9.1%
Hangul
ValueCountFrequency (%)
서 517
16.6%
초 319
 
10.2%
동 197
 
6.3%
시 195
 
6.3%
특 193
 
6.2%
별 192
 
6.2%
구 192
 
6.2%
울 192
 
6.2%
로 183
 
5.9%
대 86
 
2.8%
Other values (134) 852
27.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)76.9%
Missing210
Missing (%)89.0%
Infinite0
Infinite (%)0.0%
Mean6697.0385
Minimum6545
Maximum6801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T15:15:42.511796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6545
5-th percentile6546
Q16596.25
median6740.5
Q36795
95-th percentile6801
Maximum6801
Range256
Interquartile range (IQR)198.75

Descriptive statistics

Standard deviation100.3432
Coefficient of variation (CV)0.01498322
Kurtosis-1.6137032
Mean6697.0385
Median Absolute Deviation (MAD)60.5
Skewness-0.38960173
Sum174123
Variance10068.758
MonotonicityNot monotonic
2024-05-11T15:15:42.730225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
6801 4
 
1.7%
6546 2
 
0.8%
6796 2
 
0.8%
6590 2
 
0.8%
6545 1
 
0.4%
6792 1
 
0.4%
6797 1
 
0.4%
6725 1
 
0.4%
6636 1
 
0.4%
6720 1
 
0.4%
Other values (10) 10
 
4.2%
(Missing) 210
89.0%
ValueCountFrequency (%)
6545 1
0.4%
6546 2
0.8%
6550 1
0.4%
6579 1
0.4%
6590 2
0.8%
6615 1
0.4%
6619 1
0.4%
6636 1
0.4%
6655 1
0.4%
6720 1
0.4%
ValueCountFrequency (%)
6801 4
1.7%
6797 1
 
0.4%
6796 2
0.8%
6792 1
 
0.4%
6779 1
 
0.4%
6769 1
 
0.4%
6761 1
 
0.4%
6757 1
 
0.4%
6756 1
 
0.4%
6725 1
 
0.4%

사업장명
Text

Distinct221
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-11T15:15:43.058032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length8.8855932
Min length2

Characters and Unicode

Total characters2097
Distinct characters306
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique208 ?
Unique (%)88.1%

Sample

1st row한국보훈복지의료공단
2nd row(주)혜전건영 새움빌딩
3rd row(주)사료회관
4th row강현개발(주)
5th row(주)전홍
ValueCountFrequency (%)
주식회사 5
 
1.9%
가락건설(주 4
 
1.6%
주)신세계센트럴시티 3
 
1.2%
가락건설(주)(아이스링크장 2
 
0.8%
주)이랜드리테일 2
 
0.8%
금강주식회사 2
 
0.8%
가야피에프브이 2
 
0.8%
실버타운오피스텔 2
 
0.8%
서울특별시소방학교 2
 
0.8%
삼성생명(주)서초3사옥 2
 
0.8%
Other values (225) 231
89.9%
2024-05-11T15:15:43.645076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 114
 
5.4%
( 112
 
5.3%
주 99
 
4.7%
스 47
 
2.2%
딩 45
 
2.1%
빌 40
 
1.9%
서 37
 
1.8%
사 36
 
1.7%
국 32
 
1.5%
회 32
 
1.5%
Other values (296) 1503
71.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1785
85.1%
Close Punctuation 114
 
5.4%
Open Punctuation 112
 
5.3%
Decimal Number 37
 
1.8%
Space Separator 22
 
1.0%
Uppercase Letter 14
 
0.7%
Math Symbol 6
 
0.3%
Other Punctuation 4
 
0.2%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 99
 
5.5%
스 47
 
2.6%
딩 45
 
2.5%
빌 40
 
2.2%
서 37
 
2.1%
사 36
 
2.0%
국 32
 
1.8%
회 32
 
1.8%
원 30
 
1.7%
교 30
 
1.7%
Other values (268) 1357
76.0%
Decimal Number
ValueCountFrequency (%)
1 12
32.4%
3 7
18.9%
6 4
 
10.8%
2 4
 
10.8%
8 3
 
8.1%
9 2
 
5.4%
5 2
 
5.4%
4 1
 
2.7%
7 1
 
2.7%
0 1
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
21.4%
A 2
14.3%
I 2
14.3%
T 2
14.3%
P 1
 
7.1%
K 1
 
7.1%
G 1
 
7.1%
N 1
 
7.1%
C 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
# 2
50.0%
, 1
25.0%
. 1
25.0%
Math Symbol
ValueCountFrequency (%)
> 3
50.0%
< 3
50.0%
Close Punctuation
ValueCountFrequency (%)
) 114
100.0%
Open Punctuation
ValueCountFrequency (%)
( 112
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1785
85.1%
Common 298
 
14.2%
Latin 14
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 99
 
5.5%
스 47
 
2.6%
딩 45
 
2.5%
빌 40
 
2.2%
서 37
 
2.1%
사 36
 
2.0%
국 32
 
1.8%
회 32
 
1.8%
원 30
 
1.7%
교 30
 
1.7%
Other values (268) 1357
76.0%
Common
ValueCountFrequency (%)
) 114
38.3%
( 112
37.6%
22
 
7.4%
1 12
 
4.0%
3 7
 
2.3%
6 4
 
1.3%
2 4
 
1.3%
8 3
 
1.0%
> 3
 
1.0%
< 3
 
1.0%
Other values (9) 14
 
4.7%
Latin
ValueCountFrequency (%)
B 3
21.4%
A 2
14.3%
I 2
14.3%
T 2
14.3%
P 1
 
7.1%
K 1
 
7.1%
G 1
 
7.1%
N 1
 
7.1%
C 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1785
85.1%
ASCII 312
 
14.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 114
36.5%
( 112
35.9%
22
 
7.1%
1 12
 
3.8%
3 7
 
2.2%
6 4
 
1.3%
2 4
 
1.3%
8 3
 
1.0%
B 3
 
1.0%
> 3
 
1.0%
Other values (18) 28
 
9.0%
Hangul
ValueCountFrequency (%)
주 99
 
5.5%
스 47
 
2.6%
딩 45
 
2.5%
빌 40
 
2.2%
서 37
 
2.1%
사 36
 
2.0%
국 32
 
1.8%
회 32
 
1.8%
원 30
 
1.7%
교 30
 
1.7%
Other values (268) 1357
76.0%

최종수정일자
Date

UNIQUE 

Distinct236
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2006-11-16 00:00:00
Maximum2024-05-08 18:21:47
2024-05-11T15:15:43.948209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:15:44.213243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
I
150 
U
86 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 150
63.6%
U 86
36.4%

Length

2024-05-11T15:15:44.463990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:44.631690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 150
63.6%
u 86
36.4%

데이터갱신일자
Date

Distinct77
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-11T15:15:44.830573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:15:45.075384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
제조
226 
저장소
 
7
판매
 
3

Length

Max length3
Median length2
Mean length2.029661
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제조 226
95.8%
저장소 7
 
3.0%
판매 3
 
1.3%

Length

2024-05-11T15:15:45.306713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:45.490550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 226
95.8%
저장소 7
 
3.0%
판매 3
 
1.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct183
Distinct (%)80.3%
Missing8
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean201496.2
Minimum198357.85
Maximum206194.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T15:15:45.725808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198357.85
5-th percentile198966.4
Q1200544.56
median201497.64
Q3202407.09
95-th percentile203816.95
Maximum206194.85
Range7837.0003
Interquartile range (IQR)1862.5331

Descriptive statistics

Standard deviation1485.9978
Coefficient of variation (CV)0.0073748181
Kurtosis0.45561867
Mean201496.2
Median Absolute Deviation (MAD)939.10165
Skewness0.31132293
Sum45941134
Variance2208189.5
MonotonicityNot monotonic
2024-05-11T15:15:46.076311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202247.706111059 10
 
4.2%
200394.225955905 4
 
1.7%
201278.647889967 4
 
1.7%
200250.447804795 4
 
1.7%
201009.191193388 3
 
1.3%
202591.585171831 3
 
1.3%
202312.132971726 3
 
1.3%
200229.951772899 3
 
1.3%
202833.261653939 2
 
0.8%
200572.466658019 2
 
0.8%
Other values (173) 190
80.5%
(Missing) 8
 
3.4%
ValueCountFrequency (%)
198357.847745658 1
0.4%
198399.608674928 1
0.4%
198409.59135773 1
0.4%
198443.792714945 1
0.4%
198453.121580705 1
0.4%
198729.664148633 2
0.8%
198791.788015494 1
0.4%
198798.718883674 1
0.4%
198920.693448936 1
0.4%
198941.357367374 1
0.4%
ValueCountFrequency (%)
206194.84800621 2
0.8%
205813.0 1
0.4%
205809.527493227 1
0.4%
205551.413292255 1
0.4%
204273.643194339 1
0.4%
203939.26399055 1
0.4%
203891.041008756 1
0.4%
203881.968015816 1
0.4%
203848.094015013 1
0.4%
203817.645288426 2
0.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct183
Distinct (%)80.3%
Missing8
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean442797.98
Minimum439087.23
Maximum446318.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T15:15:46.370645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439087.23
5-th percentile440125.41
Q1442058.37
median442799.04
Q3443957.07
95-th percentile445012.34
Maximum446318.22
Range7230.9859
Interquartile range (IQR)1898.702

Descriptive statistics

Standard deviation1496.8019
Coefficient of variation (CV)0.0033803269
Kurtosis-0.15497703
Mean442797.98
Median Absolute Deviation (MAD)998.4261
Skewness-0.35168896
Sum1.0095794 × 108
Variance2240415.9
MonotonicityNot monotonic
2024-05-11T15:15:46.667202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443957.177029663 10
 
4.2%
444207.694481581 4
 
1.7%
442099.753091778 4
 
1.7%
444683.220506107 4
 
1.7%
442803.810996372 3
 
1.3%
442462.70642995 3
 
1.3%
440889.827977598 3
 
1.3%
443909.523667116 3
 
1.3%
440511.561175378 2
 
0.8%
445693.730672693 2
 
0.8%
Other values (173) 190
80.5%
(Missing) 8
 
3.4%
ValueCountFrequency (%)
439087.229245603 2
0.8%
439155.956826874 1
0.4%
439163.0 1
0.4%
439176.590519177 1
0.4%
439561.993971648 2
0.8%
439930.044272682 1
0.4%
439984.847528537 2
0.8%
440070.727589935 1
0.4%
440119.285881292 1
0.4%
440136.781183797 2
0.8%
ValueCountFrequency (%)
446318.215190813 1
0.4%
446268.294338007 1
0.4%
445764.161880369 1
0.4%
445693.730672693 2
0.8%
445666.908243581 1
0.4%
445445.185697219 1
0.4%
445381.671085217 1
0.4%
445241.8984183 1
0.4%
445125.986019886 1
0.4%
445048.112698549 1
0.4%

제조구분명
Categorical

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
냉동
168 
<NA>
47 
일반
 
13
충전
 
6
특정
 
2

Length

Max length4
Median length2
Mean length2.3983051
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
냉동 168
71.2%
<NA> 47
 
19.9%
일반 13
 
5.5%
충전 6
 
2.5%
특정 2
 
0.8%

Length

2024-05-11T15:15:46.900443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:15:47.113389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
냉동 168
71.2%
na 47
 
19.9%
일반 13
 
5.5%
충전 6
 
2.5%
특정 2
 
0.8%

사업장부지용도구분명
Categorical

Distinct13
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
업무용
99 
<NA>
63 
상업.업무용
29 
상업용
17 
기타
10 
Other values (8)
18 

Length

Max length6
Median length4
Mean length3.7076271
Min length2

Unique

Unique5 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
업무용 99
41.9%
<NA> 63
26.7%
상업.업무용 29
 
12.3%
상업용 17
 
7.2%
기타 10
 
4.2%
주.상복합용 5
 
2.1%
상업기타 5
 
2.1%
주거기타 3
 
1.3%
연립 1
 
0.4%
주상기타 1
 
0.4%
Other values (3) 3
 
1.3%

Length

2024-05-11T15:15:47.347943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
업무용 99
41.9%
na 63
26.7%
상업.업무용 29
 
12.3%
상업용 17
 
7.2%
기타 10
 
4.2%
주.상복합용 5
 
2.1%
상업기타 5
 
2.1%
주거기타 3
 
1.3%
연립 1
 
0.4%
주상기타 1
 
0.4%
Other values (3) 3
 
1.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)제조구분명사업장부지용도구분명
03210000198032100760220000519800710<NA>3폐업3폐업20050812<NA><NA><NA><NA><NA><NA>서울특별시 서초구 반포동 723-26서울특별시 서초구 강남대로 509 (반포동)<NA>한국보훈복지의료공단2007-11-22 14:21:45I2018-08-31 23:59:59.0제조201919.661478445048.112699냉동업무용
13210000198232100760220001819821028<NA>3폐업3폐업20031219<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1361-5서울특별시 서초구 강남대로 263 (서초동)<NA>(주)혜전건영 새움빌딩2007-11-22 14:08:42I2018-08-31 23:59:59.0제조202792.607431442746.377727냉동업무용
23210000198432101220220001019840531<NA>3폐업3폐업20210318<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1581-13서울특별시 서초구 반포대로 76 (서초동)<NA>(주)사료회관2021-03-23 17:53:55U2021-03-25 02:40:00.0제조200854.707897442794.277333냉동업무용
33210000198632101220210000919860317<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 37-12서울특별시 서초구 신반포로 339 (잠원동)<NA>강현개발(주)2015-11-02 16:39:39I2018-08-31 23:59:59.0제조201766.111391445445.185697냉동업무용
43210000198632101220220001019860513<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1602-4서울특별시 서초구 효령로 285 (서초동)<NA>(주)전홍2014-03-24 11:07:11I2018-08-31 23:59:59.0제조201288.890133442555.172193냉동업무용
53210000198632101220220001719860926<NA>3폐업3폐업20170816<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1687-1<NA><NA>(주)국민은행(1)2017-08-16 11:33:09I2018-08-31 23:59:59.0제조201507.962208443714.487355냉동업무용
63210000198732100760210013220090514<NA>3폐업3폐업20200130<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1355-3서울특별시 서초구 서운로 19 (서초동)<NA>서초월드오피스텔2020-02-10 10:42:08U2020-02-12 02:40:00.0제조202508.646066442625.413941냉동업무용
73210000198732101080220003119870731<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1330-14서울특별시 서초구 서초대로78길 48 (서초동)<NA>풍림2007-01-26 00:00:00I2018-08-31 23:59:59.0제조202459.370531443476.657704냉동업무용
83210000198732101220220003019870720<NA>3폐업3폐업20180423<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1473-10서울특별시 서초구 남부순환로319길 13 (서초동)<NA>(재)한국산업개발연구원2018-04-23 14:14:56I2018-08-31 23:59:59.0제조200922.4431442067.371677냉동업무용
93210000198732101220220003320090902<NA>3폐업3폐업20210315<NA><NA><NA><NA><NA><NA>서울특별시 서초구 반포동 505<NA><NA>가톨릭대학교서울성모병원2021-04-29 14:52:20U2021-05-01 02:40:00.0제조200394.225956444207.694482냉동업무용
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)제조구분명사업장부지용도구분명
226321000020213210197021000022021-04-28<NA>1영업/정상1영업중<NA><NA><NA>2021-07-05<NA><NA><NA>서울특별시 서초구 서초동 1445-3 국제전자센터서울특별시 서초구 효령로 304, 국제전자센터 (서초동)6720국제전자센터관리단2024-05-08 18:21:47U2023-12-04 23:00:00.0제조201501.67266442505.573143<NA><NA>
2273210000202132101970210000320210513<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 반포동 19-3 센트럴시티(지하4~5층)서울특별시 서초구 신반포로 176, 센트럴시티(지하4~5층) (반포동)6546(주)신세계센트럴시티 호텔부문2021-09-10 11:04:50U2021-09-12 02:40:00.0제조200250.447805444683.220506냉동<NA>
2283210000202132101970210000420211129<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1645 삼성레포츠센터(지하3층 기계실)서울특별시 서초구 서초대로64길 76-21, 삼성레포츠센터(지하3층 기계실) (서초동)6636삼성생명(주)서초3사옥2022-05-19 17:09:17U2021-12-04 22:01:00.0제조201836.199767443284.171449<NA><NA>
2293210000202132101970210000520211206<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 967 대법원 청사(지하2층 기계실)서울특별시 서초구 서초대로 219, 대법원 청사(지하2층 기계실) (서초동)6590법원행정처(대법원)2022-06-16 09:30:30U2021-12-05 23:08:00.0제조200403.913823443343.49736<NA><NA>
2303210000202232101970210000120220610<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1424-2 JW TOWER서울특별시 서초구 남부순환로 2477, JW TOWER (서초동)6725주식회사 국민은행2022-07-08 16:34:20U2021-12-06 23:02:00.0제조201803.380444442337.458958<NA><NA>
231321000020223210197021000022022-08-17<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 231 현대기아자동차빌딩서울특별시 서초구 헌릉로 12, 현대기아자동차빌딩 (양재동)6797현대자동차(주)2023-09-01 14:42:55U2022-12-09 00:03:00.0제조203705.426304440222.152897<NA><NA>
232321000020233210197021000012023-02-07<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 염곡동 300-6 외국기업창업지원연구센터서울특별시 서초구 헌릉로 7, 외국기업창업지원연구센터 (염곡동)6792대한무역투자진흥공사 외국기업창업지원센터(IKP)2023-05-17 10:57:35U2022-12-04 23:09:00.0제조203817.645288440372.135898<NA><NA>
233321000020233210197022000012023-07-13<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 내곡동 1-3117서울특별시 서초구 샘마루길 34-14 (내곡동)6801수도방위사령부(제8637부대)2023-09-01 14:49:15U2022-12-09 00:03:00.0제조206194.848006439087.229246<NA><NA>
234321000020243210197021000012024-04-18<NA>1영업/정상1영업중<NA><NA><NA><NA><NA>33274.1<NA>서울특별시 서초구 양재동 224<NA><NA>가야피에프브이 주식회사#12024-04-18 17:40:20I2023-12-03 22:00:00.0저장소203301.847004439561.993972<NA><NA>
235321000020243210197021000022024-04-18<NA>1영업/정상1영업중<NA><NA><NA><NA><NA>33274.1<NA>서울특별시 서초구 양재동 224<NA><NA>가야피에프브이 주식회사#22024-04-18 17:41:20I2023-12-03 22:00:00.0저장소203301.847004439561.993972<NA><NA>