Overview

Dataset statistics

Number of variables26
Number of observations449
Missing cells3743
Missing cells (%)32.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory95.7 KiB
Average record size in memory218.3 B

Variable types

Categorical6
Numeric3
DateTime7
Unsupported4
Text6

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),영업내용
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-17843/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (55.1%)Imbalance
영업상태명 is highly imbalanced (55.1%)Imbalance
상세영업상태코드 is highly imbalanced (55.1%)Imbalance
상세영업상태명 is highly imbalanced (55.1%)Imbalance
인허가취소일자 has 449 (100.0%) missing valuesMissing
폐업일자 has 89 (19.8%) missing valuesMissing
휴업시작일자 has 445 (99.1%) missing valuesMissing
휴업종료일자 has 445 (99.1%) missing valuesMissing
재개업일자 has 445 (99.1%) missing valuesMissing
전화번호 has 61 (13.6%) missing valuesMissing
소재지면적 has 449 (100.0%) missing valuesMissing
소재지우편번호 has 449 (100.0%) missing valuesMissing
도로명주소 has 45 (10.0%) missing valuesMissing
도로명우편번호 has 327 (72.8%) missing valuesMissing
업태구분명 has 449 (100.0%) missing valuesMissing
좌표정보(X) has 25 (5.6%) missing valuesMissing
좌표정보(Y) has 25 (5.6%) missing valuesMissing
영업내용 has 39 (8.7%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 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

Reproduction

Analysis started2024-05-11 02:44:15.879229
Analysis finished2024-05-11 02:44:17.880896
Duration2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
3160000
449 

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 449
100.0%

Length

2024-05-11T02:44:18.095031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:44:18.426886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 449
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct449
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0049574 × 1018
Minimum1.988316 × 1018
Maximum2.024316 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T02:44:18.903191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.988316 × 1018
5-th percentile1.994316 × 1018
Q12.000316 × 1018
median2.003316 × 1018
Q32.009316 × 1018
95-th percentile2.019916 × 1018
Maximum2.024316 × 1018
Range3.6000021 × 1016
Interquartile range (IQR)9.0000063 × 1015

Descriptive statistics

Standard deviation7.6103934 × 1015
Coefficient of variation (CV)0.003795788
Kurtosis-0.13862221
Mean2.0049574 × 1018
Median Absolute Deviation (MAD)3 × 1015
Skewness0.57875001
Sum-3.6645706 × 1018
Variance5.7918087 × 1031
MonotonicityStrictly increasing
2024-05-11T02:44:19.412405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1988316007608500010 1
 
0.2%
2009316013908500005 1
 
0.2%
2007316007608500312 1
 
0.2%
2007316007608500311 1
 
0.2%
2007316007608500310 1
 
0.2%
2007316007608500309 1
 
0.2%
2007316007608500308 1
 
0.2%
2007316007608500307 1
 
0.2%
2006316007608500306 1
 
0.2%
2006316007608500305 1
 
0.2%
Other values (439) 439
97.8%
ValueCountFrequency (%)
1988316007608500010 1
0.2%
1988316007608500034 1
0.2%
1988316007608500055 1
0.2%
1988316007608500113 1
0.2%
1988316013908500004 1
0.2%
1988316013908500023 1
0.2%
1990316007608500047 1
0.2%
1991316007608500048 1
0.2%
1991316007608500064 1
0.2%
1991316007608500065 1
0.2%
ValueCountFrequency (%)
2024316028708500001 1
0.2%
2023316028708500004 1
0.2%
2023316028708500003 1
0.2%
2023316028708500002 1
0.2%
2023316028708500001 1
0.2%
2022316022808500004 1
0.2%
2022316022808500003 1
0.2%
2022316022808500002 1
0.2%
2022316022808500001 1
0.2%
2021316022808500009 1
0.2%

인허가일자
Date

Distinct375
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum1988-07-18 00:00:00
Maximum2024-01-30 00:00:00
2024-05-11T02:44:20.042845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:44:20.592121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing449
Missing (%)100.0%
Memory size4.1 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
3
368 
1
79 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 368
82.0%
1 79
 
17.6%
2 2
 
0.4%

Length

2024-05-11T02:44:21.109341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:44:21.466349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 368
82.0%
1 79
 
17.6%
2 2
 
0.4%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
폐업
368 
영업/정상
79 
휴업
 
2

Length

Max length5
Median length2
Mean length2.5278396
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 368
82.0%
영업/정상 79
 
17.6%
휴업 2
 
0.4%

Length

2024-05-11T02:44:21.800318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:44:22.458446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 368
82.0%
영업/정상 79
 
17.6%
휴업 2
 
0.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
40
368 
20
79 
30
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row40
2nd row40
3rd row40
4th row40
5th row40

Common Values

ValueCountFrequency (%)
40 368
82.0%
20 79
 
17.6%
30 2
 
0.4%

Length

2024-05-11T02:44:22.836086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:44:23.194636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 368
82.0%
20 79
 
17.6%
30 2
 
0.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
폐업
368 
정상
79 
휴업
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 368
82.0%
정상 79
 
17.6%
휴업 2
 
0.4%

Length

2024-05-11T02:44:23.550200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:44:23.901278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 368
82.0%
정상 79
 
17.6%
휴업 2
 
0.4%

폐업일자
Date

MISSING 

Distinct191
Distinct (%)53.1%
Missing89
Missing (%)19.8%
Memory size3.6 KiB
Minimum1991-06-22 00:00:00
Maximum2023-12-20 00:00:00
2024-05-11T02:44:24.421671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:44:25.081514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing445
Missing (%)99.1%
Memory size3.6 KiB
Minimum2017-11-06 00:00:00
Maximum2023-06-10 00:00:00
2024-05-11T02:44:25.484431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:44:25.947751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

휴업종료일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing445
Missing (%)99.1%
Memory size3.6 KiB
Minimum2018-12-31 00:00:00
Maximum2025-06-09 00:00:00
2024-05-11T02:44:26.393141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:44:26.988555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

재개업일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing445
Missing (%)99.1%
Memory size3.6 KiB
Minimum2005-10-31 00:00:00
Maximum2021-12-09 00:00:00
2024-05-11T02:44:27.637080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:44:28.210668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

전화번호
Text

MISSING 

Distinct374
Distinct (%)96.4%
Missing61
Missing (%)13.6%
Memory size3.6 KiB
2024-05-11T02:44:29.355066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.286082
Min length7

Characters and Unicode

Total characters4379
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

Unique360 ?
Unique (%)92.8%

Sample

1st row02 858 6071
2nd row02 26777858
3rd row02 853 2750
4th row02 26830044
5th row02 858 6666
ValueCountFrequency (%)
02 335
39.3%
830 12
 
1.4%
851 8
 
0.9%
868 7
 
0.8%
864 6
 
0.7%
869 6
 
0.7%
837 6
 
0.7%
866 6
 
0.7%
858 6
 
0.7%
865 5
 
0.6%
Other values (415) 455
53.4%
2024-05-11T02:44:30.942549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 727
16.6%
714
16.3%
0 656
15.0%
6 432
9.9%
8 432
9.9%
5 298
6.8%
1 286
 
6.5%
3 253
 
5.8%
7 217
 
5.0%
9 184
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3665
83.7%
Space Separator 714
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 727
19.8%
0 656
17.9%
6 432
11.8%
8 432
11.8%
5 298
8.1%
1 286
 
7.8%
3 253
 
6.9%
7 217
 
5.9%
9 184
 
5.0%
4 180
 
4.9%
Space Separator
ValueCountFrequency (%)
714
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4379
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 727
16.6%
714
16.3%
0 656
15.0%
6 432
9.9%
8 432
9.9%
5 298
6.8%
1 286
 
6.5%
3 253
 
5.8%
7 217
 
5.0%
9 184
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4379
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 727
16.6%
714
16.3%
0 656
15.0%
6 432
9.9%
8 432
9.9%
5 298
6.8%
1 286
 
6.5%
3 253
 
5.8%
7 217
 
5.0%
9 184
 
4.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing449
Missing (%)100.0%
Memory size4.1 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing449
Missing (%)100.0%
Memory size4.1 KiB

지번주소
Text

Distinct252
Distinct (%)56.2%
Missing1
Missing (%)0.2%
Memory size3.6 KiB
2024-05-11T02:44:31.769969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length26.875
Min length17

Characters and Unicode

Total characters12040
Distinct characters190
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique204 ?
Unique (%)45.5%

Sample

1st row서울특별시 구로구 구로동 ***-*번지
2nd row서울특별시 구로구 구로동 ***-*번지 구로공구상가 **동 ***호
3rd row서울특별시 구로구 가리봉동 **-**번지
4th row서울특별시 구로구 개봉동 ***-*번지 *통*반 현대*단지상가 ***호
5th row서울특별시 구로구 구로동 ***-**번지
ValueCountFrequency (%)
서울특별시 448
20.2%
구로구 446
20.1%
번지 337
15.2%
구로동 262
11.8%
호 146
 
6.6%
132
 
5.9%
개봉동 57
 
2.6%
고척동 40
 
1.8%
오류동 33
 
1.5%
통*반 29
 
1.3%
Other values (147) 289
13.0%
2024-05-11T02:44:32.916244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2598
21.6%
2046
17.0%
구 1180
9.8%
로 717
 
6.0%
동 506
 
4.2%
서 452
 
3.8%
시 450
 
3.7%
울 449
 
3.7%
별 448
 
3.7%
특 448
 
3.7%
Other values (180) 2746
22.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6914
57.4%
Other Punctuation 2622
 
21.8%
Space Separator 2046
 
17.0%
Dash Punctuation 402
 
3.3%
Uppercase Letter 36
 
0.3%
Decimal Number 10
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Letter Number 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1180
17.1%
로 717
10.4%
동 506
 
7.3%
서 452
 
6.5%
시 450
 
6.5%
울 449
 
6.5%
별 448
 
6.5%
특 448
 
6.5%
지 366
 
5.3%
번 340
 
4.9%
Other values (152) 1558
22.5%
Uppercase Letter
ValueCountFrequency (%)
B 11
30.6%
A 6
16.7%
I 4
 
11.1%
T 4
 
11.1%
J 2
 
5.6%
D 2
 
5.6%
K 2
 
5.6%
S 1
 
2.8%
V 1
 
2.8%
P 1
 
2.8%
Other values (2) 2
 
5.6%
Decimal Number
ValueCountFrequency (%)
7 3
30.0%
5 2
20.0%
0 2
20.0%
2 1
 
10.0%
4 1
 
10.0%
1 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
* 2598
99.1%
. 22
 
0.8%
, 2
 
0.1%
Space Separator
ValueCountFrequency (%)
2046
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 402
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6914
57.4%
Common 5087
42.3%
Latin 39
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1180
17.1%
로 717
10.4%
동 506
 
7.3%
서 452
 
6.5%
시 450
 
6.5%
울 449
 
6.5%
별 448
 
6.5%
특 448
 
6.5%
지 366
 
5.3%
번 340
 
4.9%
Other values (152) 1558
22.5%
Common
ValueCountFrequency (%)
* 2598
51.1%
2046
40.2%
- 402
 
7.9%
. 22
 
0.4%
7 3
 
0.1%
( 3
 
0.1%
) 3
 
0.1%
5 2
 
< 0.1%
0 2
 
< 0.1%
, 2
 
< 0.1%
Other values (4) 4
 
0.1%
Latin
ValueCountFrequency (%)
B 11
28.2%
A 6
15.4%
I 4
 
10.3%
T 4
 
10.3%
J 2
 
5.1%
D 2
 
5.1%
K 2
 
5.1%
Ⅱ 2
 
5.1%
S 1
 
2.6%
V 1
 
2.6%
Other values (4) 4
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6914
57.4%
ASCII 5124
42.6%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2598
50.7%
2046
39.9%
- 402
 
7.8%
. 22
 
0.4%
B 11
 
0.2%
A 6
 
0.1%
I 4
 
0.1%
T 4
 
0.1%
7 3
 
0.1%
( 3
 
0.1%
Other values (17) 25
 
0.5%
Hangul
ValueCountFrequency (%)
구 1180
17.1%
로 717
10.4%
동 506
 
7.3%
서 452
 
6.5%
시 450
 
6.5%
울 449
 
6.5%
별 448
 
6.5%
특 448
 
6.5%
지 366
 
5.3%
번 340
 
4.9%
Other values (152) 1558
22.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

도로명주소
Text

MISSING 

Distinct320
Distinct (%)79.2%
Missing45
Missing (%)10.0%
Memory size3.6 KiB
2024-05-11T02:44:33.546168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length45
Mean length32.009901
Min length22

Characters and Unicode

Total characters12932
Distinct characters197
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique274 ?
Unique (%)67.8%

Sample

1st row서울특별시 구로구 디지털로**길 ** (구로동)
2nd row서울특별시 구로구 디지털로**길 *** (가리봉동)
3rd row서울특별시 구로구 개봉로**길 *, ***호 (개봉동,현대*단지상가)
4th row서울특별시 구로구 경인로 *** (구로동)
5th row서울특별시 구로구 구로중앙로 ** (구로동)
ValueCountFrequency (%)
서울특별시 404
17.4%
404
17.4%
구로구 402
17.3%
구로동 173
 
7.4%
호 144
 
6.2%
디지털로**길 58
 
2.5%
개봉동 49
 
2.1%
경인로**길 44
 
1.9%
층 28
 
1.2%
오류동 25
 
1.1%
Other values (227) 595
25.6%
2024-05-11T02:44:34.803471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2102
16.3%
* 2062
15.9%
구 1141
 
8.8%
로 1128
 
8.7%
동 484
 
3.7%
서 414
 
3.2%
시 409
 
3.2%
( 408
 
3.2%
) 408
 
3.2%
울 405
 
3.1%
Other values (187) 3971
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7486
57.9%
Other Punctuation 2401
 
18.6%
Space Separator 2102
 
16.3%
Open Punctuation 408
 
3.2%
Close Punctuation 408
 
3.2%
Dash Punctuation 74
 
0.6%
Uppercase Letter 39
 
0.3%
Decimal Number 9
 
0.1%
Letter Number 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1141
15.2%
로 1128
15.1%
동 484
 
6.5%
서 414
 
5.5%
시 409
 
5.5%
울 405
 
5.4%
특 404
 
5.4%
별 404
 
5.4%
길 258
 
3.4%
호 165
 
2.2%
Other values (160) 2274
30.4%
Uppercase Letter
ValueCountFrequency (%)
B 13
33.3%
A 7
17.9%
T 4
 
10.3%
I 4
 
10.3%
K 2
 
5.1%
J 2
 
5.1%
D 2
 
5.1%
G 1
 
2.6%
S 1
 
2.6%
P 1
 
2.6%
Other values (2) 2
 
5.1%
Decimal Number
ValueCountFrequency (%)
0 3
33.3%
1 2
22.2%
5 2
22.2%
4 1
 
11.1%
7 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
* 2062
85.9%
, 320
 
13.3%
. 19
 
0.8%
Space Separator
ValueCountFrequency (%)
2102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 408
100.0%
Close Punctuation
ValueCountFrequency (%)
) 408
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7486
57.9%
Common 5403
41.8%
Latin 43
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1141
15.2%
로 1128
15.1%
동 484
 
6.5%
서 414
 
5.5%
시 409
 
5.5%
울 405
 
5.4%
특 404
 
5.4%
별 404
 
5.4%
길 258
 
3.4%
호 165
 
2.2%
Other values (160) 2274
30.4%
Latin
ValueCountFrequency (%)
B 13
30.2%
A 7
16.3%
T 4
 
9.3%
I 4
 
9.3%
Ⅱ 3
 
7.0%
K 2
 
4.7%
J 2
 
4.7%
D 2
 
4.7%
n 1
 
2.3%
G 1
 
2.3%
Other values (4) 4
 
9.3%
Common
ValueCountFrequency (%)
2102
38.9%
* 2062
38.2%
( 408
 
7.6%
) 408
 
7.6%
, 320
 
5.9%
- 74
 
1.4%
. 19
 
0.4%
0 3
 
0.1%
1 2
 
< 0.1%
5 2
 
< 0.1%
Other values (3) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7486
57.9%
ASCII 5443
42.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2102
38.6%
* 2062
37.9%
( 408
 
7.5%
) 408
 
7.5%
, 320
 
5.9%
- 74
 
1.4%
. 19
 
0.3%
B 13
 
0.2%
A 7
 
0.1%
T 4
 
0.1%
Other values (16) 26
 
0.5%
Hangul
ValueCountFrequency (%)
구 1141
15.2%
로 1128
15.1%
동 484
 
6.5%
서 414
 
5.5%
시 409
 
5.5%
울 405
 
5.4%
특 404
 
5.4%
별 404
 
5.4%
길 258
 
3.4%
호 165
 
2.2%
Other values (160) 2274
30.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%

도로명우편번호
Text

MISSING 

Distinct75
Distinct (%)61.5%
Missing327
Missing (%)72.8%
Memory size3.6 KiB
2024-05-11T02:44:35.479889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3196721
Min length5

Characters and Unicode

Total characters649
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

Unique54 ?
Unique (%)44.3%

Sample

1st row08300
2nd row08278
3rd row08217
4th row08225
5th row08362
ValueCountFrequency (%)
152053 10
 
8.2%
08378 8
 
6.6%
08390 4
 
3.3%
08298 4
 
3.3%
08377 4
 
3.3%
08300 3
 
2.5%
08294 3
 
2.5%
08225 3
 
2.5%
08381 3
 
2.5%
08278 3
 
2.5%
Other values (65) 77
63.1%
2024-05-11T02:44:36.988818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 137
21.1%
0 126
19.4%
2 94
14.5%
5 72
11.1%
3 65
10.0%
1 61
9.4%
7 38
 
5.9%
9 24
 
3.7%
6 17
 
2.6%
4 14
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 648
99.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 137
21.1%
0 126
19.4%
2 94
14.5%
5 72
11.1%
3 65
10.0%
1 61
9.4%
7 38
 
5.9%
9 24
 
3.7%
6 17
 
2.6%
4 14
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 649
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 137
21.1%
0 126
19.4%
2 94
14.5%
5 72
11.1%
3 65
10.0%
1 61
9.4%
7 38
 
5.9%
9 24
 
3.7%
6 17
 
2.6%
4 14
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 649
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 137
21.1%
0 126
19.4%
2 94
14.5%
5 72
11.1%
3 65
10.0%
1 61
9.4%
7 38
 
5.9%
9 24
 
3.7%
6 17
 
2.6%
4 14
 
2.2%

사업장명
Text

Distinct430
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-05-11T02:44:37.710720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length5.7683742
Min length2

Characters and Unicode

Total characters2590
Distinct characters325
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

Unique412 ?
Unique (%)91.8%

Sample

1st row(주)국도
2nd row주-시대광고
3rd row우진기획
4th row주-가나기획
5th row(주)가나기획
ValueCountFrequency (%)
주식회사 18
 
3.6%
디자인 7
 
1.4%
광고 5
 
1.0%
주 3
 
0.6%
이노애드 3
 
0.6%
백두산광고 2
 
0.4%
세경디자인 2
 
0.4%
스퀘어 2
 
0.4%
포윰 2
 
0.4%
기억광고 2
 
0.4%
Other values (437) 451
90.7%
2024-05-11T02:44:38.723274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 135
 
5.2%
기 116
 
4.5%
광 109
 
4.2%
) 105
 
4.1%
( 105
 
4.1%
고 94
 
3.6%
획 89
 
3.4%
인 74
 
2.9%
드 64
 
2.5%
디 62
 
2.4%
Other values (315) 1637
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2277
87.9%
Close Punctuation 105
 
4.1%
Open Punctuation 105
 
4.1%
Space Separator 48
 
1.9%
Uppercase Letter 27
 
1.0%
Dash Punctuation 11
 
0.4%
Decimal Number 9
 
0.3%
Lowercase Letter 4
 
0.2%
Other Punctuation 3
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 135
 
5.9%
기 116
 
5.1%
광 109
 
4.8%
고 94
 
4.1%
획 89
 
3.9%
인 74
 
3.2%
드 64
 
2.8%
디 62
 
2.7%
애 55
 
2.4%
사 55
 
2.4%
Other values (285) 1424
62.5%
Uppercase Letter
ValueCountFrequency (%)
I 3
11.1%
K 3
11.1%
M 3
11.1%
C 3
11.1%
J 2
7.4%
Y 2
7.4%
S 2
7.4%
O 2
7.4%
L 2
7.4%
P 1
 
3.7%
Other values (4) 4
14.8%
Decimal Number
ValueCountFrequency (%)
0 5
55.6%
2 2
 
22.2%
7 1
 
11.1%
1 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
i 1
25.0%
s 1
25.0%
d 1
25.0%
r 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 1
33.3%
. 1
33.3%
, 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2278
88.0%
Common 281
 
10.8%
Latin 31
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 135
 
5.9%
기 116
 
5.1%
광 109
 
4.8%
고 94
 
4.1%
획 89
 
3.9%
인 74
 
3.2%
드 64
 
2.8%
디 62
 
2.7%
애 55
 
2.4%
사 55
 
2.4%
Other values (286) 1425
62.6%
Latin
ValueCountFrequency (%)
I 3
 
9.7%
K 3
 
9.7%
M 3
 
9.7%
C 3
 
9.7%
J 2
 
6.5%
Y 2
 
6.5%
S 2
 
6.5%
O 2
 
6.5%
L 2
 
6.5%
P 1
 
3.2%
Other values (8) 8
25.8%
Common
ValueCountFrequency (%)
) 105
37.4%
( 105
37.4%
48
17.1%
- 11
 
3.9%
0 5
 
1.8%
2 2
 
0.7%
7 1
 
0.4%
1 1
 
0.4%
& 1
 
0.4%
. 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2277
87.9%
ASCII 312
 
12.0%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 135
 
5.9%
기 116
 
5.1%
광 109
 
4.8%
고 94
 
4.1%
획 89
 
3.9%
인 74
 
3.2%
드 64
 
2.8%
디 62
 
2.7%
애 55
 
2.4%
사 55
 
2.4%
Other values (285) 1424
62.5%
ASCII
ValueCountFrequency (%)
) 105
33.7%
( 105
33.7%
48
15.4%
- 11
 
3.5%
0 5
 
1.6%
I 3
 
1.0%
K 3
 
1.0%
M 3
 
1.0%
C 3
 
1.0%
J 2
 
0.6%
Other values (19) 24
 
7.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

Distinct446
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2007-08-31 13:29:28
Maximum2024-04-11 17:06:06
2024-05-11T02:44:39.169348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:44:39.658348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
I
331 
U
118 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 331
73.7%
U 118
 
26.3%

Length

2024-05-11T02:44:40.038360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:44:40.376897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 331
73.7%
u 118
 
26.3%

데이터갱신일자
Date

Distinct75
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:04:00
2024-05-11T02:44:40.716593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:44:41.086084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing449
Missing (%)100.0%
Memory size4.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct313
Distinct (%)73.8%
Missing25
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean188975.48
Minimum183792.2
Maximum200835.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T02:44:41.510178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183792.2
5-th percentile185685.09
Q1187360.74
median189662.61
Q3190394.6
95-th percentile190923.65
Maximum200835.42
Range17043.223
Interquartile range (IQR)3033.8599

Descriptive statistics

Standard deviation1872.7897
Coefficient of variation (CV)0.0099102262
Kurtosis2.9465461
Mean188975.48
Median Absolute Deviation (MAD)833.83571
Skewness-0.15233278
Sum80125602
Variance3507341.4
MonotonicityNot monotonic
2024-05-11T02:44:41.970825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188840.515865617 13
 
2.9%
191020.264430044 7
 
1.6%
187619.596959162 7
 
1.6%
190594.904645635 6
 
1.3%
190394.394227379 6
 
1.3%
190410.047738361 6
 
1.3%
189134.15447044 5
 
1.1%
190496.447846852 5
 
1.1%
190003.362190021 4
 
0.9%
190504.7782409 4
 
0.9%
Other values (303) 361
80.4%
(Missing) 25
 
5.6%
ValueCountFrequency (%)
183792.195085841 1
0.2%
183807.118188697 1
0.2%
183992.189194863 1
0.2%
184365.476646051 1
0.2%
184405.318446064 1
0.2%
184770.498169463 1
0.2%
184847.480997965 1
0.2%
185045.554683952 1
0.2%
185075.17343762 1
0.2%
185161.368667147 1
0.2%
ValueCountFrequency (%)
200835.418432776 1
 
0.2%
191281.882201185 1
 
0.2%
191205.791543965 2
 
0.4%
191112.939353193 1
 
0.2%
191110.143101304 1
 
0.2%
191108.796071766 1
 
0.2%
191085.533930064 1
 
0.2%
191029.307108884 1
 
0.2%
191027.079161448 1
 
0.2%
191020.264430044 7
1.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct313
Distinct (%)73.8%
Missing25
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean443484.43
Minimum438816.41
Maximum445795.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T02:44:42.384731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438816.41
5-th percentile442116.31
Q1442645.33
median443547.62
Q3444214.78
95-th percentile444832.74
Maximum445795.07
Range6978.6577
Interquartile range (IQR)1569.4523

Descriptive statistics

Standard deviation911.29009
Coefficient of variation (CV)0.0020548412
Kurtosis0.38455054
Mean443484.43
Median Absolute Deviation (MAD)759.1478
Skewness-0.32697611
Sum1.880374 × 108
Variance830449.62
MonotonicityNot monotonic
2024-05-11T02:44:42.834089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444306.771104527 13
 
2.9%
442460.919021593 7
 
1.6%
444186.923109714 7
 
1.6%
442261.654499191 6
 
1.3%
444191.966689461 6
 
1.3%
443953.502895004 6
 
1.3%
444274.729874348 5
 
1.1%
442645.330573628 5
 
1.1%
442086.932797864 4
 
0.9%
442154.992807483 4
 
0.9%
Other values (303) 361
80.4%
(Missing) 25
 
5.6%
ValueCountFrequency (%)
438816.408043458 1
0.2%
441599.355055656 1
0.2%
441880.745508083 2
0.4%
441900.772196067 1
0.2%
441915.949256826 1
0.2%
441923.986884714 1
0.2%
441950.139212722 1
0.2%
442007.69346986 1
0.2%
442029.428981146 1
0.2%
442032.778363907 1
0.2%
ValueCountFrequency (%)
445795.065707973 1
0.2%
445580.144485522 1
0.2%
445426.184267564 1
0.2%
445216.330960267 1
0.2%
445178.860000001 1
0.2%
445163.58544256 1
0.2%
445157.626366229 1
0.2%
445154.530590607 1
0.2%
444987.710755995 1
0.2%
444978.682746138 1
0.2%

영업내용
Text

MISSING 

Distinct62
Distinct (%)15.1%
Missing39
Missing (%)8.7%
Memory size3.6 KiB
2024-05-11T02:44:43.339115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length8
Mean length7.4585366
Min length3

Characters and Unicode

Total characters3058
Distinct characters68
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)12.2%

Sample

1st row옥외광고물제작업
2nd row제작업
3rd row옥외광고물제작업
4th row제작업
5th row제작업
ValueCountFrequency (%)
옥외광고물제작업 267
54.8%
제작업 53
 
10.9%
광고물제작 19
 
3.9%
제작 17
 
3.5%
및 14
 
2.9%
광고물 8
 
1.6%
설치 6
 
1.2%
대행 6
 
1.2%
간판 5
 
1.0%
광고대행 5
 
1.0%
Other values (54) 87
 
17.9%
2024-05-11T02:44:44.220716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 390
12.8%
작 390
12.8%
광 348
11.4%
고 348
11.4%
업 346
11.3%
물 314
10.3%
옥 295
9.6%
외 295
9.6%
79
 
2.6%
, 27
 
0.9%
Other values (58) 226
7.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2950
96.5%
Space Separator 79
 
2.6%
Other Punctuation 27
 
0.9%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 390
13.2%
작 390
13.2%
광 348
11.8%
고 348
11.8%
업 346
11.7%
물 314
10.6%
옥 295
10.0%
외 295
10.0%
행 24
 
0.8%
대 24
 
0.8%
Other values (54) 176
6.0%
Space Separator
ValueCountFrequency (%)
79
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2950
96.5%
Common 108
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 390
13.2%
작 390
13.2%
광 348
11.8%
고 348
11.8%
업 346
11.7%
물 314
10.6%
옥 295
10.0%
외 295
10.0%
행 24
 
0.8%
대 24
 
0.8%
Other values (54) 176
6.0%
Common
ValueCountFrequency (%)
79
73.1%
, 27
 
25.0%
) 1
 
0.9%
( 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2950
96.5%
ASCII 108
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 390
13.2%
작 390
13.2%
광 348
11.8%
고 348
11.8%
업 346
11.7%
물 314
10.6%
옥 295
10.0%
외 295
10.0%
행 24
 
0.8%
대 24
 
0.8%
Other values (54) 176
6.0%
ASCII
ValueCountFrequency (%)
79
73.1%
, 27
 
25.0%
) 1
 
0.9%
( 1
 
0.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
03160000198831600760850001019880718<NA>3폐업40폐업19990515<NA><NA><NA>02 858 6071<NA><NA>서울특별시 구로구 구로동 ***-*번지서울특별시 구로구 디지털로**길 ** (구로동)<NA>(주)국도2007-12-05 10:16:02I2018-08-31 23:59:59.0<NA>190734.812272442305.23086옥외광고물제작업
13160000198831600760850003419880718<NA>3폐업40폐업20081209<NA><NA><NA>02 26777858<NA><NA>서울특별시 구로구 구로동 ***-*번지 구로공구상가 **동 ***호<NA><NA>주-시대광고2008-12-17 10:51:31I2018-08-31 23:59:59.0<NA>189277.761702444671.551732제작업
23160000198831600760850005519881221<NA>3폐업40폐업19971231<NA><NA><NA>02 853 2750<NA><NA>서울특별시 구로구 가리봉동 **-**번지서울특별시 구로구 디지털로**길 *** (가리봉동)<NA>우진기획2007-12-05 11:00:52I2018-08-31 23:59:59.0<NA>189910.726535442519.809214옥외광고물제작업
33160000198831600760850011319880718<NA>3폐업40폐업20080909<NA><NA><NA>02 26830044<NA><NA>서울특별시 구로구 개봉동 ***-*번지 *통*반 현대*단지상가 ***호서울특별시 구로구 개봉로**길 *, ***호 (개봉동,현대*단지상가)<NA>주-가나기획2008-10-30 11:11:14I2018-08-31 23:59:59.0<NA>187416.315548443329.143116제작업
43160000198831601390850000419880718<NA>3폐업40폐업19970909<NA><NA><NA>02 858 6666<NA><NA>서울특별시 구로구 구로동 ***-**번지<NA><NA>(주)가나기획2008-02-11 16:57:43I2018-08-31 23:59:59.0<NA><NA><NA>제작업
53160000198831601390850002319880718<NA>3폐업40폐업19971231<NA><NA><NA>02 675 4045<NA><NA>서울특별시 구로구 구로동 ***-*번지서울특별시 구로구 경인로 *** (구로동)<NA>서광기업사2008-01-29 10:06:13I2018-08-31 23:59:59.0<NA>189416.041363444576.537818옥외광고물제작업
63160000199031600760850004719901201<NA>3폐업40폐업19990515<NA><NA><NA>02 854 5703<NA><NA>서울특별시 구로구 구로동 ***-**번지서울특별시 구로구 구로중앙로 ** (구로동)<NA>명문광고2007-12-05 10:57:31I2018-08-31 23:59:59.0<NA>190333.484028443366.861959옥외광고물제작업
73160000199131600760850004820150807<NA>3폐업40폐업20150807<NA><NA><NA>02 865 3748<NA><NA>서울특별시 구로구 구로동 ***-***번지 *통*반 .서울특별시 구로구 구로동로**길 ** (구로동,.)<NA>보령기획2015-08-25 17:21:28I2018-08-31 23:59:59.0<NA>189809.096633443174.169067제작업
83160000199131600760850006419910319<NA>3폐업40폐업19971231<NA><NA><NA>02 26172122<NA><NA>서울특별시 구로구 고척동 ***-**번지서울특별시 구로구 중앙로 ** (고척동)<NA>(주)유신기업애드2007-12-05 11:07:23I2018-08-31 23:59:59.0<NA>187584.214818444850.797173옥외광고물제작업
93160000199131600760850006519911228<NA>3폐업40폐업20070402<NA><NA><NA>02 26883378<NA><NA>서울특별시 구로구 개봉동 ***-**번지 *통*반 .서울특별시 구로구 개봉로 **-* (개봉동,.)<NA>미광광고기획2008-01-08 12:38:53I2018-08-31 23:59:59.0<NA>187171.397066443189.380698제작업
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
4393160000202131602280850000920211223<NA>1영업/정상20정상<NA><NA><NA><NA>02 26334703<NA><NA>서울특별시 구로구 신도림동 ***-*** ***호서울특별시 구로구 신도림로**다길 **, *층 ***호 (신도림동)08205세기광고기획2022-03-21 11:00:56U2022-03-23 02:40:00.0<NA>189125.520655445163.585443인쇄,실사출력,광고, 복사업
4403160000202231602280850000120220429<NA>1영업/정상20정상<NA><NA><NA><NA>8449535<NA><NA>서울특별시 구로구 구로동 ***-* 예성빌딩 ***호서울특별시 구로구 구로중앙로**길 **, 예성빌딩 *층 ***호 (구로동)08300(주)태건그룹2022-11-07 11:30:09U2021-11-01 00:09:00.0<NA>189931.341028443981.232189<NA>
441316000020223160228085000022022-05-31<NA>3폐업40폐업2023-09-04<NA><NA><NA>02 69593822<NA><NA>서울특별시 구로구 구로동 ***-** 이스페이스 ***호서울특별시 구로구 디지털로**길 **, 이스페이스 ***호 (구로동)08381(주)다올전시문화2023-09-05 09:05:49U2022-12-09 00:07:00.0<NA>190423.216683442403.568114<NA>
442316000020223160228085000032022-09-28<NA>3폐업40폐업2023-10-16<NA><NA><NA>02 67372127<NA><NA>서울특별시 구로구 구로동 *** 코오롱싸이언스밸리*차서울특별시 구로구 디지털로**길 **, 코오롱싸이언스밸리*차 **층 ****호 (구로동)08378피블리시떼2023-10-16 13:13:56U2022-10-30 23:08:00.0<NA>191020.26443442460.919022<NA>
4433160000202231602280850000420180125<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 천왕동 277 천왕 이펜하우스 5단지 504동 701호서울특별시 구로구 천왕로 10, 504동 701호 (천왕동, 천왕 이펜하우스 5단지)08365귀인2022-12-26 10:39:54I2021-11-01 22:08:00.0<NA>185917.098313442007.69347<NA>
444316000020233160287085000012023-01-05<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 디지털로**길 **, 우림이비지센터*차 *층 ***호 (구로동)08377주식회사 블루인텔리전스2023-01-09 09:02:17U2022-12-04 22:06:00.0<NA>190741.158118442703.311771<NA>
4453160000202331602870850000220210929<NA>1영업/정상20정상<NA><NA><NA><NA>02 804 0001<NA><NA>서울특별시 구로구 구로동 ***-** 벽산디지털밸리*차서울특별시 구로구 디지털로**길 **, 벽산디지털밸리*차 (구로동)08377에스엠파워텍(주)2023-01-26 16:15:22I2022-11-30 22:08:00.0<NA>190553.199299442817.101422<NA>
446316000020233160287085000032023-04-19<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 가리봉동 ***-**서울특별시 구로구 남부순환로***길 ***, *층 (가리봉동)08386에덴디자인2023-04-19 15:10:24I2022-12-03 22:03:00.0<NA>190003.36219442086.932798<NA>
447316000020233160287085000042023-06-05<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-**서울특별시 구로구 가마산로 ***, *층 (구로동)08287호수애드2023-06-05 15:18:34I2022-12-06 00:08:00.0<NA>189410.370125443106.668203<NA>
448316000020243160287085000012024-01-30<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ****-* 파트너스타워*차 **층 ****-***호서울특별시 구로구 디지털로**가길 **, 파트너스타워*차 **층 ****-***호 (구로동)08393정성기획 주식회사2024-01-31 10:16:05I2023-12-02 00:02:00.0<NA>190967.257865442305.216741<NA>