Overview

Dataset statistics

Number of variables27
Number of observations280
Missing cells2103
Missing cells (%)27.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory62.2 KiB
Average record size in memory227.5 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
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-19020/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지면적 is highly imbalanced (92.3%)Imbalance
업태구분명 is highly imbalanced (63.9%)Imbalance
인허가취소일자 has 280 (100.0%) missing valuesMissing
폐업일자 has 167 (59.6%) missing valuesMissing
휴업시작일자 has 273 (97.5%) missing valuesMissing
휴업종료일자 has 273 (97.5%) missing valuesMissing
재개업일자 has 273 (97.5%) missing valuesMissing
전화번호 has 280 (100.0%) missing valuesMissing
소재지우편번호 has 280 (100.0%) missing valuesMissing
지번주소 has 5 (1.8%) missing valuesMissing
도로명주소 has 30 (10.7%) missing valuesMissing
도로명우편번호 has 222 (79.3%) missing valuesMissing
좌표정보(X) has 10 (3.6%) missing valuesMissing
좌표정보(Y) has 10 (3.6%) 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 06:38:41.550354
Analysis finished2024-05-11 06:38:42.379577
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
3180000
280 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 280
100.0%

Length

2024-05-11T15:38:42.477971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:42.611938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 280
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct280
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0081537 × 1018
Minimum2.001318 × 1018
Maximum2.024318 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T15:38:42.831935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.001318 × 1018
5-th percentile2.001318 × 1018
Q12.001318 × 1018
median2.004318 × 1018
Q32.015568 × 1018
95-th percentile2.021318 × 1018
Maximum2.024318 × 1018
Range2.3000015 × 1016
Interquartile range (IQR)1.4250011 × 1016

Descriptive statistics

Standard deviation7.8037003 × 1015
Coefficient of variation (CV)0.0038860074
Kurtosis-1.1700986
Mean2.0081537 × 1018
Median Absolute Deviation (MAD)3 × 1015
Skewness0.63600994
Sum8.8807214 × 1018
Variance6.0897739 × 1031
MonotonicityStrictly increasing
2024-05-11T15:38:43.137859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2001318007602100001 1
 
0.4%
2011318017802112348 1
 
0.4%
2012318019002200001 1
 
0.4%
2012318019002100002 1
 
0.4%
2012318019002100001 1
 
0.4%
2011318019002200001 1
 
0.4%
2011318019002100001 1
 
0.4%
2011318017802200001 1
 
0.4%
2011318017802112347 1
 
0.4%
2013318019002100001 1
 
0.4%
Other values (270) 270
96.4%
ValueCountFrequency (%)
2001318007602100001 1
0.4%
2001318007602100002 1
0.4%
2001318007602100003 1
0.4%
2001318007602100004 1
0.4%
2001318007602100005 1
0.4%
2001318007602100006 1
0.4%
2001318007602100007 1
0.4%
2001318007602100009 1
0.4%
2001318007602100011 1
0.4%
2001318007602100012 1
0.4%
ValueCountFrequency (%)
2024318022102100006 1
0.4%
2024318022102100005 1
0.4%
2024318022102100004 1
0.4%
2024318022102100003 1
0.4%
2024318022102100002 1
0.4%
2024318022102100001 1
0.4%
2023318022102200003 1
0.4%
2023318022102200002 1
0.4%
2023318022102200001 1
0.4%
2023318022102100002 1
0.4%

인허가일자
Date

Distinct242
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum1970-07-28 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T15:38:43.394804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:38:43.626073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing280
Missing (%)100.0%
Memory size2.6 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
1
163 
3
114 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 163
58.2%
3 114
40.7%
2 3
 
1.1%

Length

2024-05-11T15:38:43.854672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:43.996503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 163
58.2%
3 114
40.7%
2 3
 
1.1%

영업상태명
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
영업/정상
163 
폐업
114 
휴업
 
3

Length

Max length5
Median length5
Mean length3.7464286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 163
58.2%
폐업 114
40.7%
휴업 3
 
1.1%

Length

2024-05-11T15:38:44.144345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:44.298927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 163
58.2%
폐업 114
40.7%
휴업 3
 
1.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
1
163 
3
114 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 163
58.2%
3 114
40.7%
2 3
 
1.1%

Length

2024-05-11T15:38:44.477209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:44.650292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 163
58.2%
3 114
40.7%
2 3
 
1.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
영업중
163 
폐업
114 
휴업
 
3

Length

Max length3
Median length3
Mean length2.5821429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 163
58.2%
폐업 114
40.7%
휴업 3
 
1.1%

Length

2024-05-11T15:38:44.820612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:44.979410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 163
58.2%
폐업 114
40.7%
휴업 3
 
1.1%

폐업일자
Date

MISSING 

Distinct95
Distinct (%)84.1%
Missing167
Missing (%)59.6%
Memory size2.3 KiB
Minimum2001-06-20 00:00:00
Maximum2023-11-18 00:00:00
2024-05-11T15:38:45.260223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:38:45.514435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing273
Missing (%)97.5%
Memory size2.3 KiB
Minimum2003-12-04 00:00:00
Maximum2023-11-06 00:00:00
2024-05-11T15:38:45.693763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:38:45.845964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

휴업종료일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing273
Missing (%)97.5%
Memory size2.3 KiB
Minimum2004-06-30 00:00:00
Maximum2024-11-05 00:00:00
2024-05-11T15:38:45.984306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:38:46.150024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

재개업일자
Date

MISSING 

Distinct6
Distinct (%)85.7%
Missing273
Missing (%)97.5%
Memory size2.3 KiB
Minimum2010-06-08 00:00:00
Maximum2023-03-06 00:00:00
2024-05-11T15:38:46.311429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:38:46.478084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing280
Missing (%)100.0%
Memory size2.6 KiB

소재지면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
275 
4251.7
 
3
2100.0
 
1
42517.0
 
1

Length

Max length7
Median length4
Mean length4.0392857
Min length4

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 275
98.2%
4251.7 3
 
1.1%
2100.0 1
 
0.4%
42517.0 1
 
0.4%

Length

2024-05-11T15:38:46.689216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:46.851311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 275
98.2%
4251.7 3
 
1.1%
2100.0 1
 
0.4%
42517.0 1
 
0.4%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing280
Missing (%)100.0%
Memory size2.6 KiB

지번주소
Text

MISSING 

Distinct223
Distinct (%)81.1%
Missing5
Missing (%)1.8%
Memory size2.3 KiB
2024-05-11T15:38:47.252375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length22.527273
Min length17

Characters and Unicode

Total characters6195
Distinct characters138
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique187 ?
Unique (%)68.0%

Sample

1st row서울특별시 영등포구 여의도동 45-15
2nd row서울특별시 영등포구 여의도동 44-4
3rd row서울특별시 영등포구 양평동3가 45
4th row서울특별시 영등포구 여의도동 35-4
5th row서울특별시 영등포구 양평동4가 16-1
ValueCountFrequency (%)
서울특별시 275
23.3%
영등포구 275
23.3%
여의도동 170
14.4%
1 13
 
1.1%
영등포동4가 12
 
1.0%
대림동 11
 
0.9%
양평동3가 9
 
0.8%
신길동 8
 
0.7%
12 7
 
0.6%
양평동5가 7
 
0.6%
Other values (250) 394
33.4%
2024-05-11T15:38:47.963096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1110
17.9%
영 306
 
4.9%
등 306
 
4.9%
포 306
 
4.9%
서 279
 
4.5%
울 277
 
4.5%
시 276
 
4.5%
특 275
 
4.4%
별 275
 
4.4%
구 275
 
4.4%
Other values (128) 2510
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3933
63.5%
Space Separator 1110
 
17.9%
Decimal Number 916
 
14.8%
Dash Punctuation 180
 
2.9%
Uppercase Letter 28
 
0.5%
Other Punctuation 12
 
0.2%
Close Punctuation 8
 
0.1%
Open Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 306
 
7.8%
등 306
 
7.8%
포 306
 
7.8%
서 279
 
7.1%
울 277
 
7.0%
시 276
 
7.0%
특 275
 
7.0%
별 275
 
7.0%
구 275
 
7.0%
동 275
 
7.0%
Other values (105) 1083
27.5%
Decimal Number
ValueCountFrequency (%)
2 176
19.2%
1 170
18.6%
3 134
14.6%
4 128
14.0%
5 83
9.1%
6 71
7.8%
7 48
 
5.2%
8 38
 
4.1%
0 37
 
4.0%
9 31
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
K 7
25.0%
C 6
21.4%
M 6
21.4%
B 5
17.9%
S 2
 
7.1%
G 1
 
3.6%
T 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 9
75.0%
, 3
 
25.0%
Space Separator
ValueCountFrequency (%)
1110
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 180
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3933
63.5%
Common 2234
36.1%
Latin 28
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 306
 
7.8%
등 306
 
7.8%
포 306
 
7.8%
서 279
 
7.1%
울 277
 
7.0%
시 276
 
7.0%
특 275
 
7.0%
별 275
 
7.0%
구 275
 
7.0%
동 275
 
7.0%
Other values (105) 1083
27.5%
Common
ValueCountFrequency (%)
1110
49.7%
- 180
 
8.1%
2 176
 
7.9%
1 170
 
7.6%
3 134
 
6.0%
4 128
 
5.7%
5 83
 
3.7%
6 71
 
3.2%
7 48
 
2.1%
8 38
 
1.7%
Other values (6) 96
 
4.3%
Latin
ValueCountFrequency (%)
K 7
25.0%
C 6
21.4%
M 6
21.4%
B 5
17.9%
S 2
 
7.1%
G 1
 
3.6%
T 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3933
63.5%
ASCII 2262
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1110
49.1%
- 180
 
8.0%
2 176
 
7.8%
1 170
 
7.5%
3 134
 
5.9%
4 128
 
5.7%
5 83
 
3.7%
6 71
 
3.1%
7 48
 
2.1%
8 38
 
1.7%
Other values (13) 124
 
5.5%
Hangul
ValueCountFrequency (%)
영 306
 
7.8%
등 306
 
7.8%
포 306
 
7.8%
서 279
 
7.1%
울 277
 
7.0%
시 276
 
7.0%
특 275
 
7.0%
별 275
 
7.0%
구 275
 
7.0%
동 275
 
7.0%
Other values (105) 1083
27.5%

도로명주소
Text

MISSING 

Distinct198
Distinct (%)79.2%
Missing30
Missing (%)10.7%
Memory size2.3 KiB
2024-05-11T15:38:48.322549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length28.58
Min length23

Characters and Unicode

Total characters7145
Distinct characters164
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)66.4%

Sample

1st row서울특별시 영등포구 여의대방로67길 22 (여의도동)
2nd row서울특별시 영등포구 선유로 138 (양평동3가)
3rd row서울특별시 영등포구 국제금융로6길 38 (여의도동)
4th row서울특별시 영등포구 양평로21길 25 (양평동4가, 공장)
5th row서울특별시 영등포구 선유로9길 30 (문래동6가)
ValueCountFrequency (%)
서울특별시 250
19.0%
영등포구 250
19.0%
여의도동 159
 
12.1%
의사당대로 43
 
3.3%
여의대로 22
 
1.7%
1 13
 
1.0%
여의나루로 12
 
0.9%
국제금융로6길 12
 
0.9%
10 10
 
0.8%
영등포동4가 10
 
0.8%
Other values (240) 537
40.7%
2024-05-11T15:38:48.864941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1102
 
15.4%
영 301
 
4.2%
포 288
 
4.0%
등 288
 
4.0%
의 268
 
3.8%
서 255
 
3.6%
시 255
 
3.6%
( 254
 
3.6%
) 254
 
3.6%
로 253
 
3.5%
Other values (154) 3627
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4676
65.4%
Space Separator 1102
 
15.4%
Decimal Number 750
 
10.5%
Open Punctuation 255
 
3.6%
Close Punctuation 255
 
3.6%
Other Punctuation 71
 
1.0%
Uppercase Letter 29
 
0.4%
Dash Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 301
 
6.4%
포 288
 
6.2%
등 288
 
6.2%
의 268
 
5.7%
서 255
 
5.5%
시 255
 
5.5%
로 253
 
5.4%
울 251
 
5.4%
별 251
 
5.4%
동 250
 
5.3%
Other values (128) 2016
43.1%
Decimal Number
ValueCountFrequency (%)
1 149
19.9%
2 111
14.8%
6 92
12.3%
3 81
10.8%
8 66
8.8%
5 66
8.8%
7 57
 
7.6%
4 56
 
7.5%
0 45
 
6.0%
9 27
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
K 7
24.1%
C 6
20.7%
M 6
20.7%
B 3
10.3%
T 3
10.3%
S 2
 
6.9%
A 1
 
3.4%
G 1
 
3.4%
Open Punctuation
ValueCountFrequency (%)
( 254
99.6%
[ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 254
99.6%
] 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 62
87.3%
. 9
 
12.7%
Space Separator
ValueCountFrequency (%)
1102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4676
65.4%
Common 2440
34.1%
Latin 29
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 301
 
6.4%
포 288
 
6.2%
등 288
 
6.2%
의 268
 
5.7%
서 255
 
5.5%
시 255
 
5.5%
로 253
 
5.4%
울 251
 
5.4%
별 251
 
5.4%
동 250
 
5.3%
Other values (128) 2016
43.1%
Common
ValueCountFrequency (%)
1102
45.2%
( 254
 
10.4%
) 254
 
10.4%
1 149
 
6.1%
2 111
 
4.5%
6 92
 
3.8%
3 81
 
3.3%
8 66
 
2.7%
5 66
 
2.7%
, 62
 
2.5%
Other values (8) 203
 
8.3%
Latin
ValueCountFrequency (%)
K 7
24.1%
C 6
20.7%
M 6
20.7%
B 3
10.3%
T 3
10.3%
S 2
 
6.9%
A 1
 
3.4%
G 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4676
65.4%
ASCII 2469
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1102
44.6%
( 254
 
10.3%
) 254
 
10.3%
1 149
 
6.0%
2 111
 
4.5%
6 92
 
3.7%
3 81
 
3.3%
8 66
 
2.7%
5 66
 
2.7%
, 62
 
2.5%
Other values (16) 232
 
9.4%
Hangul
ValueCountFrequency (%)
영 301
 
6.4%
포 288
 
6.2%
등 288
 
6.2%
의 268
 
5.7%
서 255
 
5.5%
시 255
 
5.5%
로 253
 
5.4%
울 251
 
5.4%
별 251
 
5.4%
동 250
 
5.3%
Other values (128) 2016
43.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)48.3%
Missing222
Missing (%)79.3%
Infinite0
Infinite (%)0.0%
Mean9749
Minimum7207
Maximum150010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T15:38:49.080152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7207
5-th percentile7209
Q17233.75
median7321
Q37328
95-th percentile7383.2
Maximum150010
Range142803
Interquartile range (IQR)94.25

Descriptive statistics

Standard deviation18740.368
Coefficient of variation (CV)1.9222862
Kurtosis57.998848
Mean9749
Median Absolute Deviation (MAD)59
Skewness7.6156616
Sum565442
Variance3.512014 × 108
MonotonicityNot monotonic
2024-05-11T15:38:49.293379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
7233 9
 
3.2%
7325 5
 
1.8%
7209 5
 
1.8%
7332 4
 
1.4%
7237 3
 
1.1%
7328 3
 
1.1%
7327 3
 
1.1%
7321 2
 
0.7%
7255 2
 
0.7%
7326 2
 
0.7%
Other values (18) 20
 
7.1%
(Missing) 222
79.3%
ValueCountFrequency (%)
7207 1
 
0.4%
7209 5
1.8%
7233 9
3.2%
7236 1
 
0.4%
7237 3
 
1.1%
7238 2
 
0.7%
7241 2
 
0.7%
7242 1
 
0.4%
7255 2
 
0.7%
7301 1
 
0.4%
ValueCountFrequency (%)
150010 1
 
0.4%
7442 1
 
0.4%
7441 1
 
0.4%
7373 1
 
0.4%
7345 1
 
0.4%
7339 1
 
0.4%
7335 1
 
0.4%
7333 1
 
0.4%
7332 4
1.4%
7331 1
 
0.4%

사업장명
Text

Distinct215
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-05-11T15:38:49.603292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length22
Mean length10.053571
Min length2

Characters and Unicode

Total characters2815
Distinct characters301
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

Unique175 ?
Unique (%)62.5%

Sample

1st row서린빌딩관리사무소
2nd row태양빌딩관리(주)
3rd row롯데로지스틱스(주)
4th row(사)한국화재보험협회
5th row롯데웰푸드 주식회사
ValueCountFrequency (%)
주식회사 22
 
6.2%
재)순복음선교회 6
 
1.7%
교보증권(주 5
 
1.4%
주)국민은행 5
 
1.4%
국회사무처 5
 
1.4%
영등포아리수정수센터 4
 
1.1%
디토피에프브이 4
 
1.1%
주)케이티에스테이트 4
 
1.1%
금융감독원 4
 
1.1%
국회사무처(국회의사당 4
 
1.1%
Other values (235) 291
82.2%
2024-05-11T15:38:50.186698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 143
 
5.1%
) 143
 
5.1%
주 137
 
4.9%
회 81
 
2.9%
사 80
 
2.8%
74
 
2.6%
국 63
 
2.2%
한 55
 
2.0%
이 55
 
2.0%
스 44
 
1.6%
Other values (291) 1940
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2388
84.8%
Open Punctuation 144
 
5.1%
Close Punctuation 144
 
5.1%
Space Separator 74
 
2.6%
Decimal Number 39
 
1.4%
Uppercase Letter 22
 
0.8%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 137
 
5.7%
회 81
 
3.4%
사 80
 
3.4%
국 63
 
2.6%
한 55
 
2.3%
이 55
 
2.3%
스 44
 
1.8%
식 37
 
1.5%
자 36
 
1.5%
리 36
 
1.5%
Other values (263) 1764
73.9%
Uppercase Letter
ValueCountFrequency (%)
C 4
18.2%
U 3
13.6%
D 3
13.6%
G 2
9.1%
A 1
 
4.5%
I 1
 
4.5%
V 1
 
4.5%
R 1
 
4.5%
S 1
 
4.5%
B 1
 
4.5%
Other values (4) 4
18.2%
Decimal Number
ValueCountFrequency (%)
1 10
25.6%
3 8
20.5%
2 8
20.5%
5 7
17.9%
6 2
 
5.1%
0 2
 
5.1%
4 1
 
2.6%
9 1
 
2.6%
Open Punctuation
ValueCountFrequency (%)
( 143
99.3%
[ 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 143
99.3%
] 1
 
0.7%
Space Separator
ValueCountFrequency (%)
74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2388
84.8%
Common 405
 
14.4%
Latin 22
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 137
 
5.7%
회 81
 
3.4%
사 80
 
3.4%
국 63
 
2.6%
한 55
 
2.3%
이 55
 
2.3%
스 44
 
1.8%
식 37
 
1.5%
자 36
 
1.5%
리 36
 
1.5%
Other values (263) 1764
73.9%
Common
ValueCountFrequency (%)
( 143
35.3%
) 143
35.3%
74
18.3%
1 10
 
2.5%
3 8
 
2.0%
2 8
 
2.0%
5 7
 
1.7%
- 4
 
1.0%
6 2
 
0.5%
0 2
 
0.5%
Other values (4) 4
 
1.0%
Latin
ValueCountFrequency (%)
C 4
18.2%
U 3
13.6%
D 3
13.6%
G 2
9.1%
A 1
 
4.5%
I 1
 
4.5%
V 1
 
4.5%
R 1
 
4.5%
S 1
 
4.5%
B 1
 
4.5%
Other values (4) 4
18.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2388
84.8%
ASCII 427
 
15.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 143
33.5%
) 143
33.5%
74
17.3%
1 10
 
2.3%
3 8
 
1.9%
2 8
 
1.9%
5 7
 
1.6%
- 4
 
0.9%
C 4
 
0.9%
U 3
 
0.7%
Other values (18) 23
 
5.4%
Hangul
ValueCountFrequency (%)
주 137
 
5.7%
회 81
 
3.4%
사 80
 
3.4%
국 63
 
2.6%
한 55
 
2.3%
이 55
 
2.3%
스 44
 
1.8%
식 37
 
1.5%
자 36
 
1.5%
리 36
 
1.5%
Other values (263) 1764
73.9%

최종수정일자
Date

UNIQUE 

Distinct280
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2006-09-27 00:00:00
Maximum2024-04-26 12:58:56
2024-05-11T15:38:50.403568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:38:50.626039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
I
148 
U
132 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 148
52.9%
U 132
47.1%

Length

2024-05-11T15:38:50.853703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:51.027360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 148
52.9%
u 132
47.1%

데이터갱신일자
Date

Distinct135
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:08:00
2024-05-11T15:38:51.217510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:38:51.815604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
제조
251 
저장소
 
20
판매
 
9

Length

Max length3
Median length2
Mean length2.0714286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제조 251
89.6%
저장소 20
 
7.1%
판매 9
 
3.2%

Length

2024-05-11T15:38:52.049776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:52.256299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 251
89.6%
저장소 20
 
7.1%
판매 9
 
3.2%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct170
Distinct (%)63.0%
Missing10
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean192485.64
Minimum189710.92
Maximum194632.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T15:38:52.452508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189710.92
5-th percentile190352.32
Q1191488.95
median192996.95
Q3193382.05
95-th percentile193768.64
Maximum194632.53
Range4921.6037
Interquartile range (IQR)1893.0979

Descriptive statistics

Standard deviation1216.6189
Coefficient of variation (CV)0.0063205696
Kurtosis-0.75202462
Mean192485.64
Median Absolute Deviation (MAD)569.74089
Skewness-0.70114686
Sum51971124
Variance1480161.6
MonotonicityNot monotonic
2024-05-11T15:38:52.710903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192450.93552236 11
 
3.9%
193293.251953215 7
 
2.5%
193165.490137352 6
 
2.1%
193592.000380036 5
 
1.8%
193155.533871263 5
 
1.8%
193253.666517882 5
 
1.8%
193340.185783361 5
 
1.8%
193503.389449662 4
 
1.4%
190461.126082961 4
 
1.4%
190452.870313631 4
 
1.4%
Other values (160) 214
76.4%
(Missing) 10
 
3.6%
ValueCountFrequency (%)
189710.922675147 1
0.4%
189775.314175118 2
0.7%
189804.380187717 1
0.4%
189814.860666388 1
0.4%
189875.474149561 1
0.4%
189934.075507849 1
0.4%
189986.498936099 1
0.4%
190055.017563248 1
0.4%
190213.972631083 1
0.4%
190218.915508585 1
0.4%
ValueCountFrequency (%)
194632.526367463 3
1.1%
194324.398950764 3
1.1%
194222.797405532 1
 
0.4%
193896.282065175 2
0.7%
193819.575088866 1
 
0.4%
193818.79109034 1
 
0.4%
193806.710797598 1
 
0.4%
193787.762269762 1
 
0.4%
193769.295072608 1
 
0.4%
193767.829589155 2
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct170
Distinct (%)63.0%
Missing10
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean446745.16
Minimum442812.21
Maximum449531.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-05-11T15:38:52.952873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442812.21
5-th percentile445314.34
Q1446401.93
median446761.11
Q3447296.23
95-th percentile448107.48
Maximum449531.34
Range6719.13
Interquartile range (IQR)894.29978

Descriptive statistics

Standard deviation945.69386
Coefficient of variation (CV)0.0021168531
Kurtosis4.3070625
Mean446745.16
Median Absolute Deviation (MAD)434.59803
Skewness-1.2891938
Sum1.2062119 × 108
Variance894336.88
MonotonicityNot monotonic
2024-05-11T15:38:53.183383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447649.476828035 11
 
3.9%
447448.342915454 7
 
2.5%
446797.341447363 6
 
2.1%
447092.629432527 5
 
1.8%
446891.469753398 5
 
1.8%
446701.353544281 5
 
1.8%
446774.020260734 5
 
1.8%
446354.660316797 4
 
1.4%
448352.840608043 4
 
1.4%
448107.484024722 4
 
1.4%
Other values (160) 214
76.4%
(Missing) 10
 
3.6%
ValueCountFrequency (%)
442812.211045947 1
0.4%
443157.388663332 1
0.4%
443231.351977519 1
0.4%
443446.910983342 1
0.4%
443459.357676774 2
0.7%
443464.033607263 1
0.4%
443528.607969174 1
0.4%
444009.232417255 1
0.4%
444116.658230112 1
0.4%
444661.794725256 2
0.7%
ValueCountFrequency (%)
449531.341044767 2
0.7%
448618.587308851 1
 
0.4%
448352.840608043 4
1.4%
448298.776270188 1
 
0.4%
448226.713696686 1
 
0.4%
448225.321185031 1
 
0.4%
448218.446478138 1
 
0.4%
448169.468720843 1
 
0.4%
448107.484024722 4
1.4%
448055.203656803 1
 
0.4%

제조구분명
Categorical

Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
냉동
181 
<NA>
81 
일반
 
16
특정
 
1
충전
 
1

Length

Max length4
Median length2
Mean length2.5785714
Min length2

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
냉동 181
64.6%
<NA> 81
28.9%
일반 16
 
5.7%
특정 1
 
0.4%
충전 1
 
0.4%

Length

2024-05-11T15:38:53.442070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:53.621295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
냉동 181
64.6%
na 81
28.9%
일반 16
 
5.7%
특정 1
 
0.4%
충전 1
 
0.4%

사업장부지용도구분명
Categorical

Distinct15
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
<NA>
126 
상업.업무용
100 
업무용
20 
주상기타
 
10
기타
 
6
Other values (10)
18 

Length

Max length6
Median length5
Mean length4.5857143
Min length2

Unique

Unique6 ?
Unique (%)2.1%

Sample

1st row<NA>
2nd row상업.업무용
3rd row주상기타
4th row상업.업무용
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 126
45.0%
상업.업무용 100
35.7%
업무용 20
 
7.1%
주상기타 10
 
3.6%
기타 6
 
2.1%
공업용 6
 
2.1%
상업용 2
 
0.7%
공공용지등 2
 
0.7%
지정되지않음 2
 
0.7%
공업기타 1
 
0.4%
Other values (5) 5
 
1.8%

Length

2024-05-11T15:38:53.856769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 126
45.0%
상업.업무용 100
35.7%
업무용 20
 
7.1%
주상기타 10
 
3.6%
기타 6
 
2.1%
공업용 6
 
2.1%
상업용 2
 
0.7%
공공용지등 2
 
0.7%
지정되지않음 2
 
0.7%
공업기타 1
 
0.4%
Other values (5) 5
 
1.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)제조구분명사업장부지용도구분명
0318000020013180076021000011981-09-04<NA>3폐업3폐업2023-11-18<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 45-15<NA><NA>서린빌딩관리사무소2023-11-23 10:47:26U2022-10-31 22:05:00.0제조193658.473981446413.91771<NA><NA>
13180000200131800760210000219850129<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 44-4서울특별시 영등포구 여의대방로67길 22 (여의도동)<NA>태양빌딩관리(주)2015-06-22 15:52:34I2018-08-31 23:59:59.0제조193749.233907446484.662146냉동상업.업무용
23180000200131800760210000320100422<NA>3폐업3폐업20140409<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동3가 45서울특별시 영등포구 선유로 138 (양평동3가)<NA>롯데로지스틱스(주)2014-04-09 16:53:54I2018-08-31 23:59:59.0제조190352.321687447095.641207냉동주상기타
33180000200131800760210000419780526<NA>3폐업3폐업20161024<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 35-4서울특별시 영등포구 국제금융로6길 38 (여의도동)<NA>(사)한국화재보험협회2016-10-24 10:22:16I2018-08-31 23:59:59.0제조193417.080225446590.467085냉동상업.업무용
4318000020013180076021000051970-07-28<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동4가 16-1서울특별시 영등포구 양평로21길 25 (양평동4가, 공장)7209롯데웰푸드 주식회사2023-04-20 11:28:48U2022-12-03 22:03:00.0제조190452.870314448107.484025<NA><NA>
53180000200131800760210000619800529<NA>3폐업3폐업20120615<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 문래동6가 21서울특별시 영등포구 선유로9길 30 (문래동6가)<NA>롯데삼강(주)2012-06-15 13:49:08I2018-08-31 23:59:59.0제조189814.860666446221.013702냉동주상기타
63180000200131800760210000719820713<NA>3폐업3폐업20210428<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 44-26서울특별시 영등포구 국제금융로8길 19 (여의도동)<NA>경동흥업(주)2021-04-28 10:41:10U2021-04-30 02:40:00.0제조193657.203252446493.709453냉동상업.업무용
73180000200131800760210000919840229<NA>3폐업3폐업20120615<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 13-13서울특별시 영등포구 국회대로74길 4 (여의도동)<NA>기술신용보증기금2012-06-15 15:49:41I2018-08-31 23:59:59.0제조192914.020706447594.120761냉동상업.업무용
8318000020013180076021000111987-06-08<NA>2휴업2휴업<NA>2023-09-282024-09-27<NA><NA><NA><NA>서울특별시 영등포구 여의도동 34-11서울특별시 영등포구 국제금융로6길 7 (여의도동)7330한양증권(주)2023-09-26 13:30:52U2022-12-08 22:08:00.0제조193659.140223446692.992207<NA><NA>
93180000200131800760210001219901102<NA>3폐업3폐업20210916<NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 15-11서울특별시 영등포구 국회대로68길 18 (여의도동)<NA>여의도에이치2피에프브이 주식회사2021-09-16 16:26:13U2021-09-18 02:40:00.0제조192838.606069447374.188883냉동상업.업무용
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)제조구분명사업장부지용도구분명
270318000020233180221021000022023-08-09<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 13-31 기계산업진흥회서울특별시 영등포구 은행로 37, 기계산업진흥회 (여의도동)7238한국기계산업진흥회2023-09-04 16:32:05U2022-12-09 00:06:00.0제조193089.359133447463.303055<NA><NA>
271318000020233180221022000012023-02-24<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 1 국회서울특별시 영등포구 의사당대로 1, 국회 (여의도동)7233국회사무처(국회의사당 본관 식당냉방용 CDU-1기)2023-04-10 17:24:01U2022-12-03 23:02:00.0제조192450.935522447649.476828<NA><NA>
272318000020233180221022000022023-02-24<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 1 국회서울특별시 영등포구 의사당대로 1, 국회 (여의도동)7233국회사무처(국회의사당 본관 식당냉방용 CDU-2기)2023-04-10 17:23:46U2022-12-03 23:02:00.0제조192450.935522447649.476828<NA><NA>
273318000020233180221022000032023-02-24<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 1 국회서울특별시 영등포구 의사당대로 1, 국회 (여의도동)7233국회사무처(국회의사당 본관 식당냉방용 CDU-3기)2023-04-10 17:18:40U2022-12-03 23:02:00.0제조192450.935522447649.476828<NA><NA>
274318000020243180221021000012024-02-06<NA>1영업/정상1영업중<NA><NA><NA><NA><NA>4251.7<NA>서울특별시 영등포구 양평동3가 77-80 (지상9층 소화가스실)<NA><NA>디토피에프브이 주식회사2024-02-28 16:14:03U2023-12-03 00:01:00.0저장소190544.933599447519.445103<NA><NA>
275318000020243180221021000022024-02-06<NA>1영업/정상1영업중<NA><NA><NA><NA><NA>4251.7<NA>서울특별시 영등포구 양평동3가 77-80 (지하1층 소화가스실)<NA><NA>디토피에프브이 주식회사2024-02-28 16:13:51U2023-12-03 00:01:00.0저장소190544.933599447519.445103<NA><NA>
276318000020243180221021000032024-02-06<NA>1영업/정상1영업중<NA><NA><NA><NA><NA>42517.0<NA>서울특별시 영등포구 양평동3가 77-80 (지하2층 소화가스실-2)<NA><NA>디토피에프브이 주식회사2024-02-28 16:13:22U2023-12-03 00:01:00.0저장소190544.933599447519.445103<NA><NA>
277318000020243180221021000042024-02-06<NA>1영업/정상1영업중<NA><NA><NA><NA><NA>4251.7<NA>서울특별시 영등포구 양평동3가 77-80 (지하2층 소화가스실-1)<NA><NA>디토피에프브이 주식회사2024-02-28 16:13:07U2023-12-03 00:01:00.0저장소190544.933599447519.445103<NA><NA>
278318000020243180221021000052024-02-16<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 23-2 신한투자증권타워서울특별시 영등포구 여의대로 70, 신한투자증권타워 (여의도동)7325이지스제400호부동산일반사모투자회사2024-02-16 17:27:36I2023-12-01 23:08:00.0제조193232.682346446951.370411<NA><NA>
279318000020243180221021000062024-04-26<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 35-6서울특별시 영등포구 국제금융로6길 42 (여의도동)7328(주)삼천리2024-04-26 12:58:56I2023-12-03 22:08:00.0제조193345.221964446531.983117<NA><NA>