Overview

Dataset statistics

Number of variables30
Number of observations32
Missing cells296
Missing cells (%)30.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory261.1 B

Variable types

Categorical10
Numeric4
DateTime4
Unsupported8
Text4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-16556/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지면적 is highly imbalanced (60.1%)Imbalance
총인원 is highly imbalanced (55.1%)Imbalance
인허가취소일자 has 32 (100.0%) missing valuesMissing
폐업일자 has 21 (65.6%) missing valuesMissing
휴업시작일자 has 32 (100.0%) missing valuesMissing
휴업종료일자 has 32 (100.0%) missing valuesMissing
재개업일자 has 32 (100.0%) missing valuesMissing
전화번호 has 15 (46.9%) missing valuesMissing
소재지우편번호 has 32 (100.0%) missing valuesMissing
업태구분명 has 32 (100.0%) missing valuesMissing
좌표정보(X) has 2 (6.2%) missing valuesMissing
좌표정보(Y) has 2 (6.2%) missing valuesMissing
축산물가공업구분명 has 32 (100.0%) missing valuesMissing
축산일련번호 has 32 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
도로명주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 08:26:55.937336
Analysis finished2024-05-11 08:26:56.275962
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
3150000
32 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 32
100.0%

Length

2024-05-11T17:26:56.329512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:56.408529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 32
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.15 × 1017
Minimum3.15 × 1017
Maximum3.15 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T17:26:56.487929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.15 × 1017
5-th percentile3.15 × 1017
Q13.15 × 1017
median3.15 × 1017
Q33.15 × 1017
95-th percentile3.15 × 1017
Maximum3.15 × 1017
Range210000
Interquartile range (IQR)12544

Descriptive statistics

Standard deviation38603.381
Coefficient of variation (CV)1.2255041 × 10-13
Kurtosis13.648914
Mean3.15 × 1017
Median Absolute Deviation (MAD)9984
Skewness-3.3798868
Sum-8.366744 × 1018
Variance1.490221 × 109
MonotonicityStrictly increasing
2024-05-11T17:26:56.587048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
315000001320030001 1
 
3.1%
315000001320220005 1
 
3.1%
315000001320240001 1
 
3.1%
315000001320230003 1
 
3.1%
315000001320230002 1
 
3.1%
315000001320230001 1
 
3.1%
315000001320220015 1
 
3.1%
315000001320220014 1
 
3.1%
315000001320220013 1
 
3.1%
315000001320220012 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
315000001320030001 1
3.1%
315000001320130001 1
3.1%
315000001320170001 1
3.1%
315000001320180001 1
3.1%
315000001320180002 1
3.1%
315000001320180003 1
3.1%
315000001320190001 1
3.1%
315000001320200001 1
3.1%
315000001320210001 1
3.1%
315000001320210002 1
3.1%
ValueCountFrequency (%)
315000001320240001 1
3.1%
315000001320230003 1
3.1%
315000001320230002 1
3.1%
315000001320230001 1
3.1%
315000001320220015 1
3.1%
315000001320220014 1
3.1%
315000001320220013 1
3.1%
315000001320220012 1
3.1%
315000001320220011 1
3.1%
315000001320220010 1
3.1%

인허가일자
Date

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2003-07-23 00:00:00
Maximum2024-04-24 00:00:00
2024-05-11T17:26:56.681105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:26:56.789394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
1
21 
3
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 21
65.6%
3 11
34.4%

Length

2024-05-11T17:26:56.903098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:57.025752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
65.6%
3 11
34.4%

영업상태명
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
영업/정상
21 
폐업
11 

Length

Max length5
Median length5
Mean length3.96875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 21
65.6%
폐업 11
34.4%

Length

2024-05-11T17:26:57.125944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:57.219867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 21
65.6%
폐업 11
34.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
0
21 
2
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 21
65.6%
2 11
34.4%

Length

2024-05-11T17:26:57.317908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:57.408470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
65.6%
2 11
34.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
정상
21 
폐업
11 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 21
65.6%
폐업 11
34.4%

Length

2024-05-11T17:26:57.497654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:57.578715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 21
65.6%
폐업 11
34.4%

폐업일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing21
Missing (%)65.6%
Memory size388.0 B
Minimum2005-07-25 00:00:00
Maximum2024-04-11 00:00:00
2024-05-11T17:26:57.655948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:26:57.753839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

전화번호
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing15
Missing (%)46.9%
Memory size388.0 B
2024-05-11T17:26:57.922176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.705882
Min length8

Characters and Unicode

Total characters182
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st row2666-6766
2nd row02-6341-2100
3rd row2661-8881
4th row2668-0680
5th row02-6956-9413
ValueCountFrequency (%)
2666-6766 1
 
5.9%
02-3665-9167 1
 
5.9%
1644-9213 1
 
5.9%
02-2093-7581 1
 
5.9%
0269647877 1
 
5.9%
0220632080 1
 
5.9%
0269538022 1
 
5.9%
02-2606-2828 1
 
5.9%
02-2697-8887 1
 
5.9%
2661-8881 1
 
5.9%
Other values (7) 7
41.2%
2024-05-11T17:26:58.200289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 31
17.0%
2 29
15.9%
0 24
13.2%
- 22
12.1%
8 16
8.8%
1 14
7.7%
7 13
7.1%
9 12
 
6.6%
3 9
 
4.9%
5 6
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160
87.9%
Dash Punctuation 22
 
12.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 31
19.4%
2 29
18.1%
0 24
15.0%
8 16
10.0%
1 14
8.8%
7 13
8.1%
9 12
 
7.5%
3 9
 
5.6%
5 6
 
3.8%
4 6
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 182
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 31
17.0%
2 29
15.9%
0 24
13.2%
- 22
12.1%
8 16
8.8%
1 14
7.7%
7 13
7.1%
9 12
 
6.6%
3 9
 
4.9%
5 6
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 182
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 31
17.0%
2 29
15.9%
0 24
13.2%
- 22
12.1%
8 16
8.8%
1 14
7.7%
7 13
7.1%
9 12
 
6.6%
3 9
 
4.9%
5 6
 
3.3%

소재지면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
27 
0.0
 
2
47.0
 
1
40.0
 
1
13.68
 
1

Length

Max length5
Median length4
Mean length3.96875
Min length3

Unique

Unique3 ?
Unique (%)9.4%

Sample

1st row0.0
2nd row47.0
3rd row0.0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 27
84.4%
0.0 2
 
6.2%
47.0 1
 
3.1%
40.0 1
 
3.1%
13.68 1
 
3.1%

Length

2024-05-11T17:26:58.336821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:26:58.476515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
84.4%
0.0 2
 
6.2%
47.0 1
 
3.1%
40.0 1
 
3.1%
13.68 1
 
3.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

지번주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-11T17:26:58.649680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length29
Mean length26.46875
Min length14

Characters and Unicode

Total characters847
Distinct characters102
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row서울특별시 강서구 방화동 ***-*번지 샤르망 오피스텔 ***호
2nd row서울특별시 강서구 등촌동
3rd row서울특별시 강서구 마곡동 ***-*번지 ***-*호
4th row서울특별시 강서구 가양동 ****번지 강서한강자이타워 A동 ***호
5th row서울특별시 강서구 화곡동 ****-**번지
ValueCountFrequency (%)
서울특별시 32
20.1%
강서구 32
20.1%
22
13.8%
화곡동 9
 
5.7%
마곡동 8
 
5.0%
번지 7
 
4.4%
호 7
 
4.4%
등촌동 6
 
3.8%
가양동 4
 
2.5%
내발산동 2
 
1.3%
Other values (29) 30
18.9%
2024-05-11T17:26:58.961465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 153
18.1%
135
15.9%
서 67
 
7.9%
강 36
 
4.3%
동 35
 
4.1%
울 32
 
3.8%
특 32
 
3.8%
별 32
 
3.8%
시 32
 
3.8%
구 32
 
3.8%
Other values (92) 261
30.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 522
61.6%
Other Punctuation 155
 
18.3%
Space Separator 135
 
15.9%
Dash Punctuation 25
 
3.0%
Decimal Number 8
 
0.9%
Uppercase Letter 1
 
0.1%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 67
 
12.8%
강 36
 
6.9%
동 35
 
6.7%
울 32
 
6.1%
특 32
 
6.1%
별 32
 
6.1%
시 32
 
6.1%
구 32
 
6.1%
곡 20
 
3.8%
마 12
 
2.3%
Other values (80) 192
36.8%
Decimal Number
ValueCountFrequency (%)
0 2
25.0%
7 2
25.0%
4 1
12.5%
1 1
12.5%
9 1
12.5%
6 1
12.5%
Other Punctuation
ValueCountFrequency (%)
* 153
98.7%
, 2
 
1.3%
Space Separator
ValueCountFrequency (%)
135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 522
61.6%
Common 323
38.1%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 67
 
12.8%
강 36
 
6.9%
동 35
 
6.7%
울 32
 
6.1%
특 32
 
6.1%
별 32
 
6.1%
시 32
 
6.1%
구 32
 
6.1%
곡 20
 
3.8%
마 12
 
2.3%
Other values (80) 192
36.8%
Common
ValueCountFrequency (%)
* 153
47.4%
135
41.8%
- 25
 
7.7%
0 2
 
0.6%
, 2
 
0.6%
7 2
 
0.6%
4 1
 
0.3%
1 1
 
0.3%
9 1
 
0.3%
6 1
 
0.3%
Latin
ValueCountFrequency (%)
A 1
50.0%
Ⅱ 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 522
61.6%
ASCII 324
38.3%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 153
47.2%
135
41.7%
- 25
 
7.7%
0 2
 
0.6%
, 2
 
0.6%
7 2
 
0.6%
4 1
 
0.3%
1 1
 
0.3%
9 1
 
0.3%
6 1
 
0.3%
Hangul
ValueCountFrequency (%)
서 67
 
12.8%
강 36
 
6.9%
동 35
 
6.7%
울 32
 
6.1%
특 32
 
6.1%
별 32
 
6.1%
시 32
 
6.1%
구 32
 
6.1%
곡 20
 
3.8%
마 12
 
2.3%
Other values (80) 192
36.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-11T17:26:59.168238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length42
Mean length36.3125
Min length24

Characters and Unicode

Total characters1162
Distinct characters127
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row서울특별시 강서구 방화대로**가길 **, ***호 (방화동, 샤르망 오피스텔)
2nd row서울특별시 강서구 공항대로**길 ** (등촌동, 세신그린코아빌딩)
3rd row서울특별시 강서구 방화대로 ***, *층 ***-*호 (마곡동, 마곡더블유타워)
4th row서울특별시 강서구 양천로 ***, 강서한강자이타워 A층 ***호 (가양동)
5th row서울특별시 강서구 화곡로**길 **, *층 (화곡동)
ValueCountFrequency (%)
서울특별시 32
15.0%
강서구 32
15.0%
27
12.6%
호 15
 
7.0%
층 9
 
4.2%
화곡동 9
 
4.2%
마곡동 8
 
3.7%
공항대로**길 5
 
2.3%
등촌동 5
 
2.3%
가양동 5
 
2.3%
Other values (54) 67
31.3%
2024-05-11T17:26:59.497657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
182
 
15.7%
* 173
 
14.9%
서 70
 
6.0%
강 37
 
3.2%
동 36
 
3.1%
, 35
 
3.0%
특 32
 
2.8%
별 32
 
2.8%
시 32
 
2.8%
구 32
 
2.8%
Other values (117) 501
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 689
59.3%
Other Punctuation 208
 
17.9%
Space Separator 182
 
15.7%
Close Punctuation 32
 
2.8%
Open Punctuation 32
 
2.8%
Decimal Number 10
 
0.9%
Dash Punctuation 6
 
0.5%
Uppercase Letter 2
 
0.2%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 70
 
10.2%
강 37
 
5.4%
동 36
 
5.2%
특 32
 
4.6%
별 32
 
4.6%
시 32
 
4.6%
구 32
 
4.6%
울 32
 
4.6%
로 32
 
4.6%
곡 26
 
3.8%
Other values (105) 328
47.6%
Decimal Number
ValueCountFrequency (%)
1 6
60.0%
0 3
30.0%
2 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
* 173
83.2%
, 35
 
16.8%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
182
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 689
59.3%
Common 470
40.4%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 70
 
10.2%
강 37
 
5.4%
동 36
 
5.2%
특 32
 
4.6%
별 32
 
4.6%
시 32
 
4.6%
구 32
 
4.6%
울 32
 
4.6%
로 32
 
4.6%
곡 26
 
3.8%
Other values (105) 328
47.6%
Common
ValueCountFrequency (%)
182
38.7%
* 173
36.8%
, 35
 
7.4%
) 32
 
6.8%
( 32
 
6.8%
- 6
 
1.3%
1 6
 
1.3%
0 3
 
0.6%
2 1
 
0.2%
Latin
ValueCountFrequency (%)
B 1
33.3%
A 1
33.3%
Ⅱ 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 689
59.3%
ASCII 472
40.6%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
182
38.6%
* 173
36.7%
, 35
 
7.4%
) 32
 
6.8%
( 32
 
6.8%
- 6
 
1.3%
1 6
 
1.3%
0 3
 
0.6%
2 1
 
0.2%
B 1
 
0.2%
Hangul
ValueCountFrequency (%)
서 70
 
10.2%
강 37
 
5.4%
동 36
 
5.2%
특 32
 
4.6%
별 32
 
4.6%
시 32
 
4.6%
구 32
 
4.6%
울 32
 
4.6%
로 32
 
4.6%
곡 26
 
3.8%
Other values (105) 328
47.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

Distinct27
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7632.375
Minimum7510
Maximum7802
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T17:26:59.609328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7510
5-th percentile7518.7
Q17561.25
median7631
Q37703
95-th percentile7794.3
Maximum7802
Range292
Interquartile range (IQR)141.75

Descriptive statistics

Standard deviation92.753141
Coefficient of variation (CV)0.012152592
Kurtosis-0.97679804
Mean7632.375
Median Absolute Deviation (MAD)75
Skewness0.45250894
Sum244236
Variance8603.1452
MonotonicityNot monotonic
2024-05-11T17:26:59.710540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
7631 3
 
9.4%
7527 2
 
6.2%
7599 2
 
6.2%
7802 2
 
6.2%
7525 1
 
3.1%
7547 1
 
3.1%
7721 1
 
3.1%
7673 1
 
3.1%
7635 1
 
3.1%
7510 1
 
3.1%
Other values (17) 17
53.1%
ValueCountFrequency (%)
7510 1
3.1%
7511 1
3.1%
7525 1
3.1%
7527 2
6.2%
7528 1
3.1%
7531 1
3.1%
7547 1
3.1%
7566 1
3.1%
7567 1
3.1%
7569 1
3.1%
ValueCountFrequency (%)
7802 2
6.2%
7788 1
3.1%
7783 1
3.1%
7750 1
3.1%
7741 1
3.1%
7725 1
3.1%
7721 1
3.1%
7697 1
3.1%
7673 1
3.1%
7663 1
3.1%

사업장명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-05-11T17:26:59.922649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length8.71875
Min length3

Characters and Unicode

Total characters279
Distinct characters103
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row다스림상사
2nd row하이플러스하이
3rd row메디벳헬스케어
4th row(주)케이비엠약품
5th row굿프랜즈
ValueCountFrequency (%)
주)이마트에브리데이 3
 
7.5%
주식회사 3
 
7.5%
다스림상사 1
 
2.5%
지와이에스엠몰 1
 
2.5%
가양동점 1
 
2.5%
화곡동점 1
 
2.5%
마곡점 1
 
2.5%
주)더셈펫바이오 1
 
2.5%
에그트리 1
 
2.5%
정무역 1
 
2.5%
Other values (26) 26
65.0%
2024-05-11T17:27:00.289237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 20
 
7.2%
주 19
 
6.8%
) 16
 
5.7%
( 16
 
5.7%
스 9
 
3.2%
8
 
2.9%
리 6
 
2.2%
사 6
 
2.2%
점 6
 
2.2%
오 6
 
2.2%
Other values (93) 167
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 233
83.5%
Close Punctuation 16
 
5.7%
Open Punctuation 16
 
5.7%
Space Separator 8
 
2.9%
Lowercase Letter 6
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 20
 
8.6%
주 19
 
8.2%
스 9
 
3.9%
리 6
 
2.6%
사 6
 
2.6%
점 6
 
2.6%
오 6
 
2.6%
엠 6
 
2.6%
케 5
 
2.1%
메 5
 
2.1%
Other values (85) 145
62.2%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
t 1
16.7%
h 1
16.7%
s 1
16.7%
m 1
16.7%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 233
83.5%
Common 40
 
14.3%
Latin 6
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 20
 
8.6%
주 19
 
8.2%
스 9
 
3.9%
리 6
 
2.6%
사 6
 
2.6%
점 6
 
2.6%
오 6
 
2.6%
엠 6
 
2.6%
케 5
 
2.1%
메 5
 
2.1%
Other values (85) 145
62.2%
Latin
ValueCountFrequency (%)
e 2
33.3%
t 1
16.7%
h 1
16.7%
s 1
16.7%
m 1
16.7%
Common
ValueCountFrequency (%)
) 16
40.0%
( 16
40.0%
8
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 233
83.5%
ASCII 46
 
16.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 20
 
8.6%
주 19
 
8.2%
스 9
 
3.9%
리 6
 
2.6%
사 6
 
2.6%
점 6
 
2.6%
오 6
 
2.6%
엠 6
 
2.6%
케 5
 
2.1%
메 5
 
2.1%
Other values (85) 145
62.2%
ASCII
ValueCountFrequency (%)
) 16
34.8%
( 16
34.8%
8
17.4%
e 2
 
4.3%
t 1
 
2.2%
h 1
 
2.2%
s 1
 
2.2%
m 1
 
2.2%

최종수정일자
Date

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2011-10-30 13:35:01
Maximum2024-04-24 11:29:14
2024-05-11T17:27:00.400358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:27:00.519579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
I
19 
U
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 19
59.4%
U 13
40.6%

Length

2024-05-11T17:27:00.633178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:27:00.730159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 19
59.4%
u 13
40.6%

데이터갱신일자
Date

Distinct27
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-05-11T17:27:00.828457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:27:00.932175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)100.0%
Missing2
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean186067.88
Minimum183366.1
Maximum187952.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T17:27:01.031226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183366.1
5-th percentile183595.9
Q1184877.36
median186495.15
Q3187098.54
95-th percentile187718.29
Maximum187952.56
Range4586.4588
Interquartile range (IQR)2221.1779

Descriptive statistics

Standard deviation1358.817
Coefficient of variation (CV)0.0073028028
Kurtosis-0.69651901
Mean186067.88
Median Absolute Deviation (MAD)748.95734
Skewness-0.69704174
Sum5582036.3
Variance1846383.7
MonotonicityNot monotonic
2024-05-11T17:27:01.143953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
187034.317305052 1
 
3.1%
184786.585 1
 
3.1%
187952.560027898 1
 
3.1%
185032.421148111 1
 
3.1%
186264.920811679 1
 
3.1%
186551.772704347 1
 
3.1%
186784.482418582 1
 
3.1%
184623.198956871 1
 
3.1%
183366.101249557 1
 
3.1%
186943.79683438 1
 
3.1%
Other values (20) 20
62.5%
(Missing) 2
 
6.2%
ValueCountFrequency (%)
183366.101249557 1
3.1%
183466.507671245 1
3.1%
183754.040224403 1
3.1%
183758.0 1
3.1%
184507.89151286 1
3.1%
184623.198956871 1
3.1%
184786.585 1
3.1%
184825.676320005 1
3.1%
185032.421148111 1
3.1%
185705.990366621 1
3.1%
ValueCountFrequency (%)
187952.560027898 1
3.1%
187831.720345753 1
3.1%
187579.647224357 1
3.1%
187334.471621319 1
3.1%
187332.486700036 1
3.1%
187203.905048232 1
3.1%
187197.468812217 1
3.1%
187119.948165892 1
3.1%
187034.317305052 1
3.1%
186943.79683438 1
3.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)100.0%
Missing2
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean450444.89
Minimum447654.18
Maximum452885.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-05-11T17:27:01.258433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447654.18
5-th percentile447723.93
Q1449757.75
median450666.44
Q3451337.19
95-th percentile452347.23
Maximum452885.19
Range5231.0093
Interquartile range (IQR)1579.441

Descriptive statistics

Standard deviation1332.494
Coefficient of variation (CV)0.0029581732
Kurtosis0.2229503
Mean450444.89
Median Absolute Deviation (MAD)701.57336
Skewness-0.56676934
Sum13513347
Variance1775540.3
MonotonicityNot monotonic
2024-05-11T17:27:01.369729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
451572.877049653 1
 
3.1%
450708.875 1
 
3.1%
450562.020225978 1
 
3.1%
450836.071292455 1
 
3.1%
449152.628569166 1
 
3.1%
449488.203686315 1
 
3.1%
451320.459338674 1
 
3.1%
450094.659934382 1
 
3.1%
452817.469477897 1
 
3.1%
450238.665562086 1
 
3.1%
Other values (20) 20
62.5%
(Missing) 2
 
6.2%
ValueCountFrequency (%)
447654.180891877 1
3.1%
447681.500418301 1
3.1%
447775.786483583 1
3.1%
448637.060822921 1
3.1%
449152.628569166 1
3.1%
449157.719617067 1
3.1%
449488.203686315 1
3.1%
449645.45192818 1
3.1%
450094.659934382 1
3.1%
450238.665562086 1
3.1%
ValueCountFrequency (%)
452885.190156723 1
3.1%
452817.469477897 1
3.1%
451772.49965437 1
3.1%
451652.0 1
3.1%
451572.877049653 1
3.1%
451485.251875922 1
3.1%
451393.257201561 1
3.1%
451342.773451086 1
3.1%
451320.459338674 1
3.1%
450994.213236731 1
3.1%

축산업무구분명
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
20 
동물용의료용구판매업
12 

Length

Max length10
Median length4
Mean length6.25
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
62.5%
동물용의료용구판매업 12
37.5%

Length

2024-05-11T17:27:01.481643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:27:01.798266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
62.5%
동물용의료용구판매업 12
37.5%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)100.0%
Memory size420.0 B

권리주체일련번호
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
20 
000
7 
L00
5 

Length

Max length4
Median length4
Mean length3.625
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row000
2nd row000
3rd row000
4th rowL00
5th row000

Common Values

ValueCountFrequency (%)
<NA> 20
62.5%
000 7
 
21.9%
L00 5
 
15.6%

Length

2024-05-11T17:27:01.887303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:27:01.974254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
62.5%
000 7
 
21.9%
l00 5
 
15.6%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
29 
0
3 

Length

Max length4
Median length4
Mean length3.71875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
90.6%
0 3
 
9.4%

Length

2024-05-11T17:27:02.067942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:27:02.160012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
90.6%
0 3
 
9.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0315000031500000132003000120030723<NA>3폐업2폐업20050725<NA><NA><NA>2666-67660.0<NA>서울특별시 강서구 방화동 ***-*번지 샤르망 오피스텔 ***호서울특별시 강서구 방화대로**가길 **, ***호 (방화동, 샤르망 오피스텔)7511다스림상사2011-10-30 13:35:01I2018-08-31 23:59:59.0<NA>183466.507671452885.190157동물용의료용구판매업<NA><NA>000<NA>
1315000031500000132013000120130214<NA>3폐업2폐업20151229<NA><NA><NA>02-6341-210047.0<NA>서울특별시 강서구 등촌동서울특별시 강서구 공항대로**길 ** (등촌동, 세신그린코아빌딩)7586하이플러스하이2015-12-29 13:19:44I2018-08-31 23:59:59.0<NA>186301.87554450896.992533동물용의료용구판매업<NA><NA>000<NA>
2315000031500000132017000120170629<NA>1영업/정상0정상<NA><NA><NA><NA>2661-88810.0<NA>서울특별시 강서구 마곡동 ***-*번지 ***-*호서울특별시 강서구 방화대로 ***, *층 ***-*호 (마곡동, 마곡더블유타워)7599메디벳헬스케어2017-07-31 10:36:55I2018-08-31 23:59:59.0<NA>183758.0451652.0동물용의료용구판매업<NA><NA>000<NA>
3315000031500000132018000120180322<NA>1영업/정상0정상<NA><NA><NA><NA>2668-0680<NA><NA>서울특별시 강서구 가양동 ****번지 강서한강자이타워 A동 ***호서울특별시 강서구 양천로 ***, 강서한강자이타워 A층 ***호 (가양동)7528(주)케이비엠약품2018-03-23 09:01:14I2018-08-31 23:59:59.0<NA>186501.233193451485.251876동물용의료용구판매업<NA><NA>L00<NA>
4315000031500000132018000220180621<NA>3폐업2폐업20190130<NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 ****-**번지서울특별시 강서구 화곡로**길 **, *층 (화곡동)7697굿프랜즈2019-01-30 11:11:09U2019-02-01 02:40:00.0<NA>185829.32745449157.719617동물용의료용구판매업<NA><NA>000<NA>
5315000031500000132018000320180730<NA>1영업/정상0정상<NA><NA><NA><NA>02-6956-9413<NA><NA>서울특별시 강서구 마곡동 ***-*번지서울특별시 강서구 공항대로 ***, ****호 (마곡동)7802주식회사 엠트리센2019-12-12 12:54:03U2019-12-14 02:40:00.0<NA><NA><NA>동물용의료용구판매업<NA><NA>L00<NA>
6315000031500000132019000120190516<NA>1영업/정상0정상<NA><NA><NA><NA>2652631840.0<NA>서울특별시 강서구 등촌동 ***-**번지서울특별시 강서구 공항대로**길 **, *층 (등촌동)7571(주)세일케이엠2019-05-16 13:55:07I2019-05-18 02:20:49.0<NA>187332.4867450332.354576동물용의료용구판매업<NA><NA>L00<NA>
7315000031500000132020000120200612<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 ***-**번지 *-*호서울특별시 강서구 곰달래로 *** (화곡동)7741한스테크2020-06-12 18:33:01I2020-06-14 00:23:33.0<NA>187579.647224447775.786484동물용의료용구판매업<NA><NA>000<NA>
8315000031500000132021000120210205<NA>3폐업2폐업20220922<NA><NA><NA>02-3664-6211<NA><NA>서울특별시 강서구 내발산동 ***-* ***호서울특별시 강서구 강서로**길 **, ***호 (내발산동)7646(주)더블류엠코퍼레이션2022-09-22 11:27:25U2021-12-08 22:04:00.0<NA>185705.990367450641.290762<NA><NA><NA><NA><NA>
9315000031500000132021000220210426<NA>1영업/정상0정상<NA><NA><NA><NA>070-8769-9207<NA><NA>서울특별시 강서구 마곡동 ***-* 마곡지웰타워서울특별시 강서구 공항대로 ***, 마곡지웰타워 ***호 (마곡동)7631(주)태웅메디칼2021-04-26 12:09:33I2021-04-28 00:22:57.0<NA><NA><NA>동물용의료용구판매업<NA><NA>L00<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
2231500003150000013202200102022-06-07<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 *** 서광등촌마을아파트 ***동 ***호서울특별시 강서구 공항대로**길 **-*, 서광등촌마을아파트 ***동 ***호 (등촌동, 서광등촌마을아파트)7566에그트리2023-04-18 13:30:20U2022-12-03 22:00:00.0<NA>187334.471621450632.306087<NA><NA><NA><NA><NA>
23315000031500000132022001120220608<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 ****서울특별시 강서구 공항대로**길 **, ***호 (화곡동)7654지와이에스엠몰2022-06-08 09:32:29I2021-12-05 23:00:00.0<NA>186943.796834450238.665562<NA><NA><NA><NA><NA>
24315000031500000132022001220220916<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동 ***-* 금강프라자빌딩서울특별시 강서구 금낭화로 ***, 금강프라자빌딩 ***호 (방화동)7510정무역2022-09-16 17:36:50I2021-12-08 23:08:00.0<NA>183366.10125452817.469478<NA><NA><NA><NA><NA>
25315000031500000132022001320220919<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 내발산동 ***-** 웨스트엔드중정서울특별시 강서구 수명로 **-**, 웨스트엔드중정 *층 (내발산동)7635한아름2022-09-19 09:15:57I2021-12-08 22:01:00.0<NA>184623.198957450094.659934<NA><NA><NA><NA><NA>
26315000031500000132022001420221011<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 가양동 ****서울특별시 강서구 양천로**길 *-**(가양동)7527다온바이오사이언스2022-10-11 17:36:14I2021-10-30 23:03:00.0<NA>186784.482419451320.459339<NA><NA><NA><NA><NA>
27315000031500000132022001520221221<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 971-4 두산빌딩서울특별시 강서구 까치산로 101, 두산빌딩 201호 (화곡동)7673바르다2022-12-21 17:47:24I2021-11-01 22:03:00.0<NA>186551.772704449488.203686<NA><NA><NA><NA><NA>
28315000031500000132023000120230104<NA>1영업/정상0정상<NA><NA><NA><NA>0269647877<NA><NA>서울특별시 강서구 화곡동 70-60서울특별시 강서구 초록마을로 10-1, 지하1층 (화곡동)7721엠씨아이컴퍼니(주)2023-01-04 13:19:40I2022-12-01 00:07:00.0<NA>186264.920812449152.628569<NA><NA><NA><NA><NA>
2931500003150000013202300022023-04-21<NA>3폐업2폐업2024-04-11<NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 보타닉파크타워*서울특별시 강서구 공항대로 ***, 보타닉파크타워* ***호 (마곡동)7802(주)티비앤씨2024-04-11 14:03:48U2023-12-03 23:03:00.0<NA>185032.421148450836.071292<NA><NA><NA><NA><NA>
3031500003150000013202300032023-05-09<NA>1영업/정상0정상<NA><NA><NA><NA>02-2093-7581<NA><NA>서울특별시 강서구 염창동 ***-** 우림블루나인비즈니스센터서울특별시 강서구 양천로 ***, 우림블루나인비즈니스센터 B동 ****호 (염창동)7547주식회사 오픈메디칼2023-05-09 18:21:56I2022-12-04 23:01:00.0<NA>187952.560028450562.020226<NA><NA><NA><NA><NA>
3131500003150000013202400012024-04-24<NA>1영업/정상0정상<NA><NA><NA><NA>02-797-1519<NA><NA>서울특별시 강서구 마곡동 ***-* 마곡그랑트윈타워 ***,*호서울특별시 강서구 마곡중앙*로 **, 마곡그랑트윈타워 비동 ***,***호 (마곡동)7631주식회사 더블유메딕스2024-04-24 11:29:14I2023-12-03 22:06:00.0<NA>184786.585450708.875<NA><NA><NA><NA><NA>