Overview

Dataset statistics

Number of variables30
Number of observations33
Missing cells309
Missing cells (%)31.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.4 KiB
Average record size in memory261.0 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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-16557/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지면적 is highly imbalanced (56.1%)Imbalance
총인원 is highly imbalanced (67.0%)Imbalance
인허가취소일자 has 33 (100.0%) missing valuesMissing
폐업일자 has 25 (75.8%) missing valuesMissing
휴업시작일자 has 33 (100.0%) missing valuesMissing
휴업종료일자 has 33 (100.0%) missing valuesMissing
재개업일자 has 33 (100.0%) missing valuesMissing
전화번호 has 16 (48.5%) missing valuesMissing
소재지우편번호 has 33 (100.0%) missing valuesMissing
지번주소 has 2 (6.1%) missing valuesMissing
업태구분명 has 33 (100.0%) missing valuesMissing
좌표정보(X) has 1 (3.0%) missing valuesMissing
좌표정보(Y) has 1 (3.0%) missing valuesMissing
축산물가공업구분명 has 33 (100.0%) missing valuesMissing
축산일련번호 has 33 (100.0%) missing valuesMissing
관리번호 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 02:48:59.045703
Analysis finished2024-05-11 02:49:00.004981
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
3160000
33 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 33
100.0%

Length

2024-05-11T02:49:00.434034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:49:00.875752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 33
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.16 × 1017
Minimum3.16 × 1017
Maximum3.16 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T02:49:01.208101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.16 × 1017
5-th percentile3.16 × 1017
Q13.16 × 1017
median3.16 × 1017
Q33.16 × 1017
95-th percentile3.16 × 1017
Maximum3.16 × 1017
Range90004
Interquartile range (IQR)20032

Descriptive statistics

Standard deviation26778.095
Coefficient of variation (CV)8.4740806 × 10-14
Kurtosis0.92712864
Mean3.16 × 1017
Median Absolute Deviation (MAD)10048
Skewness-1.3604629
Sum-8.018744 × 1018
Variance7.1706637 × 108
MonotonicityStrictly increasing
2024-05-11T02:49:01.616090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
316000001320140001 1
 
3.0%
316000001320220003 1
 
3.0%
316000001320210010 1
 
3.0%
316000001320210011 1
 
3.0%
316000001320210012 1
 
3.0%
316000001320210013 1
 
3.0%
316000001320220001 1
 
3.0%
316000001320220002 1
 
3.0%
316000001320220004 1
 
3.0%
316000001320140002 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
316000001320140001 1
3.0%
316000001320140002 1
3.0%
316000001320140003 1
3.0%
316000001320150001 1
3.0%
316000001320170001 1
3.0%
316000001320170002 1
3.0%
316000001320190001 1
3.0%
316000001320190002 1
3.0%
316000001320200001 1
3.0%
316000001320200002 1
3.0%
ValueCountFrequency (%)
316000001320230005 1
3.0%
316000001320230004 1
3.0%
316000001320230003 1
3.0%
316000001320230002 1
3.0%
316000001320230001 1
3.0%
316000001320220005 1
3.0%
316000001320220004 1
3.0%
316000001320220003 1
3.0%
316000001320220002 1
3.0%
316000001320220001 1
3.0%

인허가일자
Date

Distinct29
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2014-10-24 00:00:00
Maximum2023-11-06 00:00:00
2024-05-11T02:49:01.988481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:49:02.351474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
1
25 
3
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 25
75.8%
3 8
 
24.2%

Length

2024-05-11T02:49:02.810908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:49:03.197839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 25
75.8%
3 8
 
24.2%

영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업/정상
25 
폐업
8 

Length

Max length5
Median length5
Mean length4.2727273
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 25
75.8%
폐업 8
 
24.2%

Length

2024-05-11T02:49:03.565523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:49:03.908439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 25
75.8%
폐업 8
 
24.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
0
25 
2
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 25
75.8%
2 8
 
24.2%

Length

2024-05-11T02:49:04.270927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:49:04.590127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
75.8%
2 8
 
24.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
정상
25 
폐업
8 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 25
75.8%
폐업 8
 
24.2%

Length

2024-05-11T02:49:04.936824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:49:05.255039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 25
75.8%
폐업 8
 
24.2%

폐업일자
Date

MISSING 

Distinct7
Distinct (%)87.5%
Missing25
Missing (%)75.8%
Memory size396.0 B
Minimum2016-04-11 00:00:00
Maximum2023-11-30 00:00:00
2024-05-11T02:49:05.641210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:49:06.037006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

전화번호
Text

MISSING 

Distinct16
Distinct (%)94.1%
Missing16
Missing (%)48.5%
Memory size396.0 B
2024-05-11T02:49:06.421454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.764706
Min length8

Characters and Unicode

Total characters183
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

Unique15 ?
Unique (%)88.2%

Sample

1st row867-0620
2nd row070-8807-8849
3rd row0261055630
4th row028503500
5th row0261245958
ValueCountFrequency (%)
028320310 2
 
11.8%
02-1600-4779 1
 
5.9%
070-8807-8849 1
 
5.9%
0261055630 1
 
5.9%
028503500 1
 
5.9%
0261245958 1
 
5.9%
02-859-3252 1
 
5.9%
02-553-0923 1
 
5.9%
028681527 1
 
5.9%
02-6741-7370 1
 
5.9%
Other values (6) 6
35.3%
2024-05-11T02:49:07.213043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 37
20.2%
2 28
15.3%
- 21
11.5%
8 16
8.7%
5 14
 
7.7%
6 13
 
7.1%
3 12
 
6.6%
9 12
 
6.6%
7 11
 
6.0%
4 10
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 162
88.5%
Dash Punctuation 21
 
11.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37
22.8%
2 28
17.3%
8 16
9.9%
5 14
 
8.6%
6 13
 
8.0%
3 12
 
7.4%
9 12
 
7.4%
7 11
 
6.8%
4 10
 
6.2%
1 9
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 183
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 37
20.2%
2 28
15.3%
- 21
11.5%
8 16
8.7%
5 14
 
7.7%
6 13
 
7.1%
3 12
 
6.6%
9 12
 
6.6%
7 11
 
6.0%
4 10
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 183
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 37
20.2%
2 28
15.3%
- 21
11.5%
8 16
8.7%
5 14
 
7.7%
6 13
 
7.1%
3 12
 
6.6%
9 12
 
6.6%
7 11
 
6.0%
4 10
 
5.5%

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
30 
0
 
3

Length

Max length4
Median length4
Mean length3.7272727
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> 30
90.9%
0 3
 
9.1%

Length

2024-05-11T02:49:07.521461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:49:07.835702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
90.9%
0 3
 
9.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

지번주소
Text

MISSING 

Distinct26
Distinct (%)83.9%
Missing2
Missing (%)6.1%
Memory size396.0 B
2024-05-11T02:49:08.241107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length31.548387
Min length17

Characters and Unicode

Total characters978
Distinct characters99
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)77.4%

Sample

1st row서울특별시 구로구 구로동 **-* 스페스큐브 ***호
2nd row서울특별시 구로구 구로동 ***-***번지
3rd row서울특별시 구로구 구로동 ***-**번지
4th row서울특별시 구로구 구로동 ***-** 코오롱싸이언스밸리*차 ****호
5th row서울특별시 구로구 구로동 ***-*번지 제이앤케이디지털타워
ValueCountFrequency (%)
서울특별시 31
17.6%
구로구 31
17.6%
28
15.9%
구로동 22
12.5%
호 19
10.8%
코오롱디지털타워빌란트 6
 
3.4%
번지 4
 
2.3%
고척동 3
 
1.7%
개봉동 2
 
1.1%
층 2
 
1.1%
Other values (23) 28
15.9%
2024-05-11T02:49:08.850390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 202
20.7%
153
15.6%
구 86
 
8.8%
로 54
 
5.5%
동 35
 
3.6%
시 32
 
3.3%
울 31
 
3.2%
서 31
 
3.2%
별 31
 
3.2%
특 31
 
3.2%
Other values (89) 292
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 574
58.7%
Other Punctuation 204
 
20.9%
Space Separator 153
 
15.6%
Dash Punctuation 30
 
3.1%
Decimal Number 6
 
0.6%
Lowercase Letter 5
 
0.5%
Uppercase Letter 5
 
0.5%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 86
15.0%
로 54
 
9.4%
동 35
 
6.1%
시 32
 
5.6%
울 31
 
5.4%
서 31
 
5.4%
별 31
 
5.4%
특 31
 
5.4%
호 19
 
3.3%
지 15
 
2.6%
Other values (71) 209
36.4%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
K 1
20.0%
V 1
20.0%
C 1
20.0%
B 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
t 1
20.0%
n 1
20.0%
r 1
20.0%
Decimal Number
ValueCountFrequency (%)
9 2
33.3%
1 2
33.3%
7 1
16.7%
2 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 202
99.0%
, 2
 
1.0%
Space Separator
ValueCountFrequency (%)
153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 574
58.7%
Common 393
40.2%
Latin 11
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 86
15.0%
로 54
 
9.4%
동 35
 
6.1%
시 32
 
5.6%
울 31
 
5.4%
서 31
 
5.4%
별 31
 
5.4%
특 31
 
5.4%
호 19
 
3.3%
지 15
 
2.6%
Other values (71) 209
36.4%
Latin
ValueCountFrequency (%)
e 2
18.2%
t 1
9.1%
S 1
9.1%
K 1
9.1%
V 1
9.1%
C 1
9.1%
n 1
9.1%
r 1
9.1%
B 1
9.1%
Ⅱ 1
9.1%
Common
ValueCountFrequency (%)
* 202
51.4%
153
38.9%
- 30
 
7.6%
, 2
 
0.5%
9 2
 
0.5%
1 2
 
0.5%
7 1
 
0.3%
2 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 574
58.7%
ASCII 403
41.2%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 202
50.1%
153
38.0%
- 30
 
7.4%
e 2
 
0.5%
, 2
 
0.5%
9 2
 
0.5%
1 2
 
0.5%
t 1
 
0.2%
S 1
 
0.2%
K 1
 
0.2%
Other values (7) 7
 
1.7%
Hangul
ValueCountFrequency (%)
구 86
15.0%
로 54
 
9.4%
동 35
 
6.1%
시 32
 
5.6%
울 31
 
5.4%
서 31
 
5.4%
별 31
 
5.4%
특 31
 
5.4%
호 19
 
3.3%
지 15
 
2.6%
Other values (71) 209
36.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명주소
Text

Distinct28
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T02:49:09.276130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length46
Mean length39.090909
Min length22

Characters and Unicode

Total characters1290
Distinct characters114
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)78.8%

Sample

1st row서울특별시 구로구 도림로 ** (구로동)
2nd row서울특별시 구로구 가마산로 ***, *층 ***호 (구로동, 스페스큐브)
3rd row서울특별시 구로구 공원로 **, ***호 (구로동)
4th row서울특별시 구로구 디지털로**길 ** (구로동, 에이스테크노타워*차 ***-N**)
5th row서울특별시 구로구 디지털로**길 **, 코오롱싸이언스밸리*차 ****호 (구로동)
ValueCountFrequency (%)
서울특별시 33
14.5%
구로구 33
14.5%
31
13.7%
구로동 24
10.6%
호 23
10.1%
디지털로**길 15
 
6.6%
층 6
 
2.6%
코오롱디지털타워빌란트 6
 
2.6%
동 3
 
1.3%
고척동 3
 
1.3%
Other values (41) 50
22.0%
2024-05-11T02:49:09.907327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 210
16.3%
194
 
15.0%
구 94
 
7.3%
로 93
 
7.2%
동 39
 
3.0%
서 37
 
2.9%
, 35
 
2.7%
시 34
 
2.6%
) 33
 
2.6%
( 33
 
2.6%
Other values (104) 488
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 764
59.2%
Other Punctuation 245
 
19.0%
Space Separator 194
 
15.0%
Close Punctuation 33
 
2.6%
Open Punctuation 33
 
2.6%
Uppercase Letter 6
 
0.5%
Decimal Number 5
 
0.4%
Lowercase Letter 5
 
0.4%
Dash Punctuation 4
 
0.3%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 94
 
12.3%
로 93
 
12.2%
동 39
 
5.1%
서 37
 
4.8%
시 34
 
4.5%
울 33
 
4.3%
특 33
 
4.3%
별 33
 
4.3%
지 28
 
3.7%
털 26
 
3.4%
Other values (83) 314
41.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
16.7%
V 1
16.7%
C 1
16.7%
S 1
16.7%
K 1
16.7%
N 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
9 1
20.0%
3 1
20.0%
2 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
r 1
20.0%
t 1
20.0%
n 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 210
85.7%
, 35
 
14.3%
Space Separator
ValueCountFrequency (%)
194
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 764
59.2%
Common 514
39.8%
Latin 12
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 94
 
12.3%
로 93
 
12.2%
동 39
 
5.1%
서 37
 
4.8%
시 34
 
4.5%
울 33
 
4.3%
특 33
 
4.3%
별 33
 
4.3%
지 28
 
3.7%
털 26
 
3.4%
Other values (83) 314
41.1%
Latin
ValueCountFrequency (%)
e 2
16.7%
B 1
8.3%
r 1
8.3%
V 1
8.3%
t 1
8.3%
C 1
8.3%
n 1
8.3%
S 1
8.3%
K 1
8.3%
N 1
8.3%
Common
ValueCountFrequency (%)
* 210
40.9%
194
37.7%
, 35
 
6.8%
) 33
 
6.4%
( 33
 
6.4%
- 4
 
0.8%
1 2
 
0.4%
9 1
 
0.2%
3 1
 
0.2%
2 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 764
59.2%
ASCII 525
40.7%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 210
40.0%
194
37.0%
, 35
 
6.7%
) 33
 
6.3%
( 33
 
6.3%
- 4
 
0.8%
1 2
 
0.4%
e 2
 
0.4%
9 1
 
0.2%
B 1
 
0.2%
Other values (10) 10
 
1.9%
Hangul
ValueCountFrequency (%)
구 94
 
12.3%
로 93
 
12.2%
동 39
 
5.1%
서 37
 
4.8%
시 34
 
4.5%
울 33
 
4.3%
특 33
 
4.3%
별 33
 
4.3%
지 28
 
3.7%
털 26
 
3.4%
Other values (83) 314
41.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

Distinct21
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8337.0909
Minimum8208
Maximum8392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T02:49:10.232403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8208
5-th percentile8217.4
Q18298
median8375
Q38390
95-th percentile8390
Maximum8392
Range184
Interquartile range (IQR)92

Descriptive statistics

Standard deviation62.100404
Coefficient of variation (CV)0.0074486898
Kurtosis-0.43824179
Mean8337.0909
Median Absolute Deviation (MAD)15
Skewness-0.98116871
Sum275124
Variance3856.4602
MonotonicityNot monotonic
2024-05-11T02:49:10.587991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
8390 8
24.2%
8298 3
 
9.1%
8381 2
 
6.1%
8378 2
 
6.1%
8228 2
 
6.1%
8312 1
 
3.0%
8208 1
 
3.0%
8376 1
 
3.0%
8377 1
 
3.0%
8362 1
 
3.0%
Other values (11) 11
33.3%
ValueCountFrequency (%)
8208 1
 
3.0%
8215 1
 
3.0%
8219 1
 
3.0%
8228 2
6.1%
8254 1
 
3.0%
8298 3
9.1%
8307 1
 
3.0%
8312 1
 
3.0%
8315 1
 
3.0%
8337 1
 
3.0%
ValueCountFrequency (%)
8392 1
 
3.0%
8390 8
24.2%
8381 2
 
6.1%
8380 1
 
3.0%
8378 2
 
6.1%
8377 1
 
3.0%
8376 1
 
3.0%
8375 1
 
3.0%
8368 1
 
3.0%
8362 1
 
3.0%

사업장명
Text

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T02:49:11.025583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length13
Mean length7.5757576
Min length3

Characters and Unicode

Total characters250
Distinct characters110
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)81.8%

Sample

1st row소화약국
2nd row(주)모든통상
3rd row제네스
4th rowVINE
5th row보성과학(주)
ValueCountFrequency (%)
현이네마켓 2
 
5.4%
주식회사 2
 
5.4%
주)이마트에브리데이 2
 
5.4%
주)리케이 2
 
5.4%
더가가 2
 
5.4%
케이티메드(주 1
 
2.7%
프로그레스미디어 1
 
2.7%
리코바이오 1
 
2.7%
세바상사 1
 
2.7%
주)디지인 1
 
2.7%
Other values (22) 22
59.5%
2024-05-11T02:49:11.942874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 16
 
6.4%
이 15
 
6.0%
( 14
 
5.6%
) 14
 
5.6%
마 7
 
2.8%
리 6
 
2.4%
스 6
 
2.4%
디 5
 
2.0%
점 4
 
1.6%
레 4
 
1.6%
Other values (100) 159
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 207
82.8%
Open Punctuation 14
 
5.6%
Close Punctuation 14
 
5.6%
Uppercase Letter 7
 
2.8%
Space Separator 4
 
1.6%
Decimal Number 4
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 16
 
7.7%
이 15
 
7.2%
마 7
 
3.4%
리 6
 
2.9%
스 6
 
2.9%
디 5
 
2.4%
점 4
 
1.9%
레 4
 
1.9%
오 4
 
1.9%
사 4
 
1.9%
Other values (86) 136
65.7%
Uppercase Letter
ValueCountFrequency (%)
V 1
14.3%
I 1
14.3%
N 1
14.3%
E 1
14.3%
M 1
14.3%
D 1
14.3%
K 1
14.3%
Decimal Number
ValueCountFrequency (%)
4 1
25.0%
5 1
25.0%
1 1
25.0%
0 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 207
82.8%
Common 36
 
14.4%
Latin 7
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 16
 
7.7%
이 15
 
7.2%
마 7
 
3.4%
리 6
 
2.9%
스 6
 
2.9%
디 5
 
2.4%
점 4
 
1.9%
레 4
 
1.9%
오 4
 
1.9%
사 4
 
1.9%
Other values (86) 136
65.7%
Common
ValueCountFrequency (%)
( 14
38.9%
) 14
38.9%
4
 
11.1%
4 1
 
2.8%
5 1
 
2.8%
1 1
 
2.8%
0 1
 
2.8%
Latin
ValueCountFrequency (%)
V 1
14.3%
I 1
14.3%
N 1
14.3%
E 1
14.3%
M 1
14.3%
D 1
14.3%
K 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 207
82.8%
ASCII 43
 
17.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 16
 
7.7%
이 15
 
7.2%
마 7
 
3.4%
리 6
 
2.9%
스 6
 
2.9%
디 5
 
2.4%
점 4
 
1.9%
레 4
 
1.9%
오 4
 
1.9%
사 4
 
1.9%
Other values (86) 136
65.7%
ASCII
ValueCountFrequency (%)
( 14
32.6%
) 14
32.6%
4
 
9.3%
4 1
 
2.3%
5 1
 
2.3%
1 1
 
2.3%
0 1
 
2.3%
V 1
 
2.3%
I 1
 
2.3%
N 1
 
2.3%
Other values (4) 4
 
9.3%

최종수정일자
Date

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2014-12-15 16:20:56
Maximum2024-02-23 14:35:44
2024-05-11T02:49:12.317030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:49:12.691439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
I
22 
U
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 22
66.7%
U 11
33.3%

Length

2024-05-11T02:49:13.191279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:49:13.514763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 22
66.7%
u 11
33.3%

데이터갱신일자
Date

Distinct28
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 22:05:00
2024-05-11T02:49:13.815011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:49:14.202168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)78.1%
Missing1
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean189678.07
Minimum184491.97
Maximum191069.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T02:49:14.566669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184491.97
5-th percentile186221.77
Q1189534.19
median190454.52
Q3190776.47
95-th percentile190998.48
Maximum191069.42
Range6577.4513
Interquartile range (IQR)1242.2798

Descriptive statistics

Standard deviation1726.3323
Coefficient of variation (CV)0.0091013802
Kurtosis1.9069118
Mean189678.07
Median Absolute Deviation (MAD)321.94897
Skewness-1.6651071
Sum6069698.3
Variance2980223
MonotonicityNot monotonic
2024-05-11T02:49:14.938470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
190776.468544178 6
 
18.2%
190410.047738361 2
 
6.1%
187610.051722457 2
 
6.1%
190381.458298972 1
 
3.0%
190447.24866829 1
 
3.0%
190541.499138217 1
 
3.0%
190461.790473157 1
 
3.0%
190666.864354145 1
 
3.0%
189742.929598824 1
 
3.0%
184491.965337694 1
 
3.0%
Other values (15) 15
45.5%
ValueCountFrequency (%)
184491.965337694 1
3.0%
185660.848176729 1
3.0%
186680.712117006 1
3.0%
187009.804317689 1
3.0%
187610.051722457 2
6.1%
188109.321801032 1
3.0%
188907.966108621 1
3.0%
189742.929598824 1
3.0%
189925.846221375 1
3.0%
190005.132500398 1
3.0%
ValueCountFrequency (%)
191069.416650513 1
 
3.0%
191020.264430044 1
 
3.0%
190980.657371441 1
 
3.0%
190822.851419439 1
 
3.0%
190776.468544178 6
18.2%
190734.812272237 1
 
3.0%
190666.864354145 1
 
3.0%
190648.446122433 1
 
3.0%
190541.499138217 1
 
3.0%
190491.833060361 1
 
3.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)78.1%
Missing1
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean443127.35
Minimum442181.68
Maximum445250.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T02:49:15.301831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442181.68
5-th percentile442252.48
Q1442370.14
median442633.23
Q3443868.57
95-th percentile444769.91
Maximum445250.54
Range3068.8562
Interquartile range (IQR)1498.4218

Descriptive statistics

Standard deviation937.29105
Coefficient of variation (CV)0.0021151731
Kurtosis-0.58318383
Mean443127.35
Median Absolute Deviation (MAD)354.04393
Skewness0.89015846
Sum14180075
Variance878514.51
MonotonicityNot monotonic
2024-05-11T02:49:15.632658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
442370.143700207 6
 
18.2%
443953.502895004 2
 
6.1%
444664.801825366 2
 
6.1%
443104.16011184 1
 
3.0%
442558.310755613 1
 
3.0%
442708.140860448 1
 
3.0%
442368.090413171 1
 
3.0%
442750.016695612 1
 
3.0%
442941.046026244 1
 
3.0%
442181.682623451 1
 
3.0%
Other values (15) 15
45.5%
ValueCountFrequency (%)
442181.682623451 1
 
3.0%
442251.692435799 1
 
3.0%
442253.132895893 1
 
3.0%
442305.230860115 1
 
3.0%
442368.090413171 1
 
3.0%
442370.143700207 6
18.2%
442460.919021593 1
 
3.0%
442477.332680657 1
 
3.0%
442547.689997913 1
 
3.0%
442554.636221572 1
 
3.0%
ValueCountFrequency (%)
445250.538868558 1
3.0%
444898.367647601 1
3.0%
444664.801825366 2
6.1%
444557.996323399 1
3.0%
444245.56335468 1
3.0%
443953.502895004 2
6.1%
443840.25297267 1
3.0%
443574.111278073 1
3.0%
443503.181948403 1
3.0%
443285.606966752 1
3.0%

축산업무구분명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
동물용의료용구판매업
22 
<NA>
11 

Length

Max length10
Median length10
Mean length8
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의료용구판매업 22
66.7%
<NA> 11
33.3%

Length

2024-05-11T02:49:16.040344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:49:16.302357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 22
66.7%
na 11
33.3%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

권리주체일련번호
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
000
19 
<NA>
11 
L00
3 

Length

Max length4
Median length3
Mean length3.3333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row000
2nd row000
3rd row000
4th row000
5th row<NA>

Common Values

ValueCountFrequency (%)
000 19
57.6%
<NA> 11
33.3%
L00 3
 
9.1%

Length

2024-05-11T02:49:16.694759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:49:16.884942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 19
57.6%
na 11
33.3%
l00 3
 
9.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
31 
0
 
2

Length

Max length4
Median length4
Mean length3.8181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
93.9%
0 2
 
6.1%

Length

2024-05-11T02:49:17.205784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:49:17.576777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
93.9%
0 2
 
6.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0316000031600000132014000120141024<NA>3폐업2폐업20160411<NA><NA><NA>867-0620<NA><NA><NA>서울특별시 구로구 도림로 ** (구로동)8312소화약국2016-04-11 15:58:41I2018-08-31 23:59:59.0<NA>190381.458299443104.160112동물용의료용구판매업<NA><NA>000<NA>
1316000031600000132014000220141124<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 **-* 스페스큐브 ***호서울특별시 구로구 가마산로 ***, *층 ***호 (구로동, 스페스큐브)8307(주)모든통상2021-08-03 16:37:29U2021-08-05 02:40:00.0<NA>189925.846221443503.181948동물용의료용구판매업<NA><NA>0000
2316000031600000132014000320141215<NA>1영업/정상0정상<NA><NA><NA><NA>070-8807-8849<NA><NA>서울특별시 구로구 구로동 ***-***번지서울특별시 구로구 공원로 **, ***호 (구로동)8298제네스2014-12-15 16:20:56I2018-08-31 23:59:59.0<NA>190197.627242444245.563355동물용의료용구판매업<NA><NA>000<NA>
3316000031600000132015000120150609<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-**번지서울특별시 구로구 디지털로**길 ** (구로동, 에이스테크노타워*차 ***-N**)8381VINE2015-06-09 09:58:43I2018-08-31 23:59:59.0<NA>190491.83306442477.332681동물용의료용구판매업<NA><NA>000<NA>
431600003160000013201700012017-02-07<NA>1영업/정상0정상<NA><NA><NA><NA>0261055630<NA><NA>서울특별시 구로구 구로동 ***-** 코오롱싸이언스밸리*차 ****호서울특별시 구로구 디지털로**길 **, 코오롱싸이언스밸리*차 ****호 (구로동)8378보성과학(주)2023-04-17 10:59:44U2022-12-03 23:09:00.0<NA>190980.657371442547.689998<NA><NA><NA><NA><NA>
5316000031600000132017000220170728<NA>1영업/정상0정상<NA><NA><NA><NA>028503500<NA><NA><NA>서울특별시 구로구 디지털로**길 **, ***호 (구로동, 코오롱싸이언스밸리*차)8378(주)제일메디칼코퍼레이션2017-07-28 13:30:31I2018-08-31 23:59:59.0<NA>191020.26443442460.919022동물용의료용구판매업<NA><NA>L00<NA>
6316000031600000132019000120190423<NA>3폐업2폐업20190725<NA><NA><NA>0261245958<NA><NA>서울특별시 구로구 구로동 ***-*번지 제이앤케이디지털타워서울특별시 구로구 디지털로**길 ***, 제이앤케이디지털타워 ***호 (구로동)8390오스테오시스2019-07-29 15:38:45U2019-07-31 02:40:00.0<NA>190822.851419442253.132896동물용의료용구판매업<NA><NA>000<NA>
7316000031600000132019000220191108<NA>1영업/정상0정상<NA><NA><NA><NA>02-859-3252<NA><NA>서울특별시 구로구 구로동 ***-*번지 선경오피스텔 ***호서울특별시 구로구 공원로 *, 선경오피스텔 *층 *호 (구로동)8298주식회사 한길반도체2019-11-08 09:18:14I2019-11-10 00:23:10.0<NA>190410.047738443953.502895동물용의료용구판매업<NA><NA>000<NA>
8316000031600000132020000120200902<NA>3폐업2폐업20201103<NA><NA><NA>02-553-0923<NA><NA>서울특별시 구로구 구로동 ***-* 코오롱디지털타워빌란트Ⅱ ****-*호서울특별시 구로구 디지털로**길 **, 코오롱디지털타워빌란트Ⅱ ****-*호 (구로동)8390MDK2020-11-03 17:49:22U2020-11-05 02:40:00.0<NA>190734.812272442305.23086동물용의료용구판매업<NA><NA>000<NA>
9316000031600000132020000220201127<NA>1영업/정상0정상<NA><NA><NA><NA>02-1600-4779<NA><NA>서울특별시 구로구 구로동 ***-** 라이프종합공구상가 ***호서울특별시 구로구 구로중앙로 ***, 라이프종합공구상가 ***호 (구로동)8215(주)지오미디어2020-11-27 16:18:40I2020-11-29 00:23:08.0<NA>188907.966109444898.367648동물용의료용구판매업<NA><NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
23316000031600000132022000120220214<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 오류동 *-***서울특별시 구로구 고척로*길 **, *층층 (오류동)8254에프알코퍼레이션2022-02-14 15:32:38I2022-02-16 00:22:49.0<NA>185660.848177443840.252973동물용의료용구판매업<NA><NA>0000
24316000031600000132022000220220328<NA>3폐업2폐업20220801<NA><NA><NA>02-6741-7370<NA><NA>서울특별시 구로구 구로동 ***-* 선경오피스텔 ****호서울특별시 구로구 공원로 *, 선경오피스텔 ****호 (구로동)8298(주)상하이유마라이생물과학기술국제무역공사2022-08-01 13:38:57U2021-12-08 00:03:00.0<NA>190410.047738443953.502895<NA><NA><NA><NA><NA>
2531600003160000013202200032022-05-17<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 신도림동 *** 신도림*차푸르지오서울특별시 구로구 경인로 ***, 신도림*차푸르지오 (신도림동)8208홈플러스(주)신도림점2024-02-23 14:35:44U2023-12-01 22:05:00.0<NA>190005.1325445250.538869<NA><NA><NA><NA><NA>
2631600003160000013202200042022-05-17<NA>3폐업2폐업2023-11-30<NA><NA><NA>02-2684-2013<NA><NA>서울특별시 구로구 개봉동 ***-* 중앙시장서울특별시 구로구 개봉로**길 **, 중앙시장 (개봉동)8337(주)이마트에브리데이 개봉동점2023-11-30 16:28:10U2022-11-02 00:02:00.0<NA>187009.804318443285.606967<NA><NA><NA><NA><NA>
2731600003160000013202200052022-05-17<NA>3폐업2폐업2023-11-30<NA><NA><NA>02-6954-2231<NA><NA>서울특별시 구로구 항동 **-*서울특별시 구로구 서해안로 ****(항동)8368(주)이마트에브리데이 구로항동점2023-11-30 16:29:11U2022-11-02 00:02:00.0<NA>184491.965338442181.682623<NA><NA><NA><NA><NA>
28316000031600000132023000120230126<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-* *층서울특별시 구로구 구로동로 ***, *층 (구로동)8315세바상사2023-01-27 11:25:04I2022-11-30 22:09:00.0<NA>189742.929599442941.046026<NA><NA><NA><NA><NA>
2931600003160000013202300022023-05-11<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 항동 ***-* , 구로SKV* CenterB동 ***호서울특별시 구로구 부광로 **, 구로SKV* CenterB동 ***호 (항동)8362리코바이오2023-05-11 08:57:53I2022-12-04 23:03:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
3031600003160000013202300032023-05-30<NA>1영업/정상0정상<NA><NA><NA><NA>02-864-0974<NA><NA>서울특별시 구로구 구로동 ***-* , 우림이비지센터*차 *층 ***호서울특별시 구로구 디지털로**길 **, 우림이비지센터*차 *층 ***호 (구로동)8377주식회사 프로그레스미디어2023-05-30 09:21:38I2022-12-06 00:01:00.0<NA>190666.864354442750.016696<NA><NA><NA><NA><NA>
3131600003160000013202300042023-06-01<NA>1영업/정상0정상<NA><NA><NA><NA>070-4895-0962<NA><NA>서울특별시 구로구 구로동 ***-** 벽산디지털밸리*차 ***호서울특별시 구로구 디지털로**길 **, 벽산디지털밸리*차 ***호 (구로동)8381케이티메드(주)2023-06-01 14:27:53I2022-12-06 00:03:00.0<NA>190461.790473442368.090413<NA><NA><NA><NA><NA>
3231600003160000013202300052023-11-06<NA>1영업/정상0정상<NA><NA><NA><NA>02-6949-2958<NA><NA>서울특별시 구로구 구로동 ***-** 이앤씨벤처드림타워*차 ***호서울특별시 구로구 디지털로**길 **-**, 이앤씨벤처드림타워*차 ***호 (구로동)8376(주)와이즈투모로우2023-11-06 13:35:18U2022-11-01 00:08:00.0<NA>190541.499138442708.14086<NA><NA><NA><NA><NA>