Overview

Dataset statistics

Number of variables26
Number of observations453
Missing cells3667
Missing cells (%)31.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory96.6 KiB
Average record size in memory218.3 B

Variable types

Categorical5
Numeric4
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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-17844/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (52.7%)Imbalance
영업상태명 is highly imbalanced (52.7%)Imbalance
상세영업상태명 is highly imbalanced (62.1%)Imbalance
인허가취소일자 has 453 (100.0%) missing valuesMissing
폐업일자 has 116 (25.6%) missing valuesMissing
휴업시작일자 has 446 (98.5%) missing valuesMissing
휴업종료일자 has 446 (98.5%) missing valuesMissing
재개업일자 has 450 (99.3%) missing valuesMissing
전화번호 has 109 (24.1%) missing valuesMissing
소재지면적 has 453 (100.0%) missing valuesMissing
소재지우편번호 has 453 (100.0%) missing valuesMissing
지번주소 has 9 (2.0%) missing valuesMissing
도로명주소 has 7 (1.5%) missing valuesMissing
도로명우편번호 has 191 (42.2%) missing valuesMissing
업태구분명 has 453 (100.0%) missing valuesMissing
영업내용 has 73 (16.1%) 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 05:21:04.129486
Analysis finished2024-05-11 05:21:05.684474
Duration1.55 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
3170000
453 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 453
100.0%

Length

2024-05-11T05:21:05.894468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:21:06.196642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 453
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct453
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0082309 × 1018
Minimum1.993317 × 1018
Maximum2.024317 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T05:21:06.537071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.993317 × 1018
5-th percentile2.000317 × 1018
Q12.000317 × 1018
median2.006317 × 1018
Q32.015317 × 1018
95-th percentile2.022317 × 1018
Maximum2.024317 × 1018
Range3.1000015 × 1016
Interquartile range (IQR)1.500001 × 1016

Descriptive statistics

Standard deviation7.9639232 × 1015
Coefficient of variation (CV)0.0039656412
Kurtosis-1.1786533
Mean2.0082309 × 1018
Median Absolute Deviation (MAD)6 × 1015
Skewness0.49216086
Sum5.8381468 × 1018
Variance6.3424073 × 1031
MonotonicityStrictly increasing
2024-05-11T05:21:07.022576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1993317008008500064 1
 
0.2%
2011317015208500001 1
 
0.2%
2013317015208500003 1
 
0.2%
2013317015208500002 1
 
0.2%
2013317015208500001 1
 
0.2%
2012317015208500013 1
 
0.2%
2012317015208500012 1
 
0.2%
2012317015208500011 1
 
0.2%
2012317015208500010 1
 
0.2%
2012317015208500009 1
 
0.2%
Other values (443) 443
97.8%
ValueCountFrequency (%)
1993317008008500064 1
0.2%
2000317007108200001 1
0.2%
2000317007108200002 1
0.2%
2000317007108200003 1
0.2%
2000317007108200004 1
0.2%
2000317007108200005 1
0.2%
2000317007108200006 1
0.2%
2000317007108200007 1
0.2%
2000317007108200008 1
0.2%
2000317007108200009 1
0.2%
ValueCountFrequency (%)
2024317023108500006 1
0.2%
2024317023108500005 1
0.2%
2024317023108500004 1
0.2%
2024317023108500003 1
0.2%
2024317023108500002 1
0.2%
2024317023108500001 1
0.2%
2023317023108500016 1
0.2%
2023317023108500015 1
0.2%
2023317023108500014 1
0.2%
2023317023108500013 1
0.2%

인허가일자
Date

Distinct392
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum1988-07-18 00:00:00
Maximum2024-04-24 00:00:00
2024-05-11T05:21:07.636822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:08.081631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing453
Missing (%)100.0%
Memory size4.1 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
3
340 
1
102 
4
 
8
2
 
3

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 (%)
3 340
75.1%
1 102
 
22.5%
4 8
 
1.8%
2 3
 
0.7%

Length

2024-05-11T05:21:08.483514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:21:08.899128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 340
75.1%
1 102
 
22.5%
4 8
 
1.8%
2 3
 
0.7%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
폐업
340 
영업/정상
102 
취소/말소/만료/정지/중지
 
8
휴업
 
3

Length

Max length14
Median length2
Mean length2.8874172
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 340
75.1%
영업/정상 102
 
22.5%
취소/말소/만료/정지/중지 8
 
1.8%
휴업 3
 
0.7%

Length

2024-05-11T05:21:09.340271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:21:09.725794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 340
75.1%
영업/정상 102
 
22.5%
취소/말소/만료/정지/중지 8
 
1.8%
휴업 3
 
0.7%

상세영업상태코드
Real number (ℝ)

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.717439
Minimum10
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T05:21:10.100290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q140
median40
Q340
95-th percentile40
Maximum70
Range60
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.985218
Coefficient of variation (CV)0.25156389
Kurtosis0.78793868
Mean35.717439
Median Absolute Deviation (MAD)0
Skewness-0.7584387
Sum16180
Variance80.734142
MonotonicityNot monotonic
2024-05-11T05:21:10.503522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
40 340
75.1%
20 101
 
22.3%
50 5
 
1.1%
70 3
 
0.7%
30 3
 
0.7%
10 1
 
0.2%
ValueCountFrequency (%)
10 1
 
0.2%
20 101
 
22.3%
30 3
 
0.7%
40 340
75.1%
50 5
 
1.1%
70 3
 
0.7%
ValueCountFrequency (%)
70 3
 
0.7%
50 5
 
1.1%
40 340
75.1%
30 3
 
0.7%
20 101
 
22.3%
10 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
폐업
340 
정상
101 
영업정지
 
5
취소
 
3
휴업
 
3

Length

Max length4
Median length2
Mean length2.0264901
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 340
75.1%
정상 101
 
22.3%
영업정지 5
 
1.1%
취소 3
 
0.7%
휴업 3
 
0.7%
설립신청 1
 
0.2%

Length

2024-05-11T05:21:11.031180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:21:11.451188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 340
75.1%
정상 101
 
22.3%
영업정지 5
 
1.1%
취소 3
 
0.7%
휴업 3
 
0.7%
설립신청 1
 
0.2%

폐업일자
Date

MISSING 

Distinct239
Distinct (%)70.9%
Missing116
Missing (%)25.6%
Memory size3.7 KiB
Minimum1995-06-30 00:00:00
Maximum2023-12-20 00:00:00
2024-05-11T05:21:12.228033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:12.729475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing446
Missing (%)98.5%
Memory size3.7 KiB
Minimum2013-06-27 00:00:00
Maximum2023-10-31 00:00:00
2024-05-11T05:21:13.059453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:13.376976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

휴업종료일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing446
Missing (%)98.5%
Memory size3.7 KiB
Minimum2014-05-31 00:00:00
Maximum2024-10-30 00:00:00
2024-05-11T05:21:13.862988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:14.194424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

재개업일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing450
Missing (%)99.3%
Memory size3.7 KiB
Minimum2014-12-17 00:00:00
Maximum2021-12-01 00:00:00
2024-05-11T05:21:14.514124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:14.786963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

전화번호
Text

MISSING 

Distinct327
Distinct (%)95.1%
Missing109
Missing (%)24.1%
Memory size3.7 KiB
2024-05-11T05:21:15.491270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.706395
Min length7

Characters and Unicode

Total characters3683
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

Unique313 ?
Unique (%)91.0%

Sample

1st row02 896 2133
2nd row02 8588801
3rd row02 8649216
4th row02 8569573
5th row02 8695481
ValueCountFrequency (%)
02 292
39.3%
070 12
 
1.6%
804 5
 
0.7%
803 5
 
0.7%
866 5
 
0.7%
895 4
 
0.5%
8968858 3
 
0.4%
21044806 3
 
0.4%
8962258 3
 
0.4%
806 3
 
0.4%
Other values (380) 408
54.9%
2024-05-11T05:21:16.764929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 660
17.9%
2 562
15.3%
508
13.8%
8 451
12.2%
6 279
7.6%
5 275
7.5%
3 200
 
5.4%
7 197
 
5.3%
1 194
 
5.3%
9 188
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3175
86.2%
Space Separator 508
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 660
20.8%
2 562
17.7%
8 451
14.2%
6 279
8.8%
5 275
8.7%
3 200
 
6.3%
7 197
 
6.2%
1 194
 
6.1%
9 188
 
5.9%
4 169
 
5.3%
Space Separator
ValueCountFrequency (%)
508
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3683
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 660
17.9%
2 562
15.3%
508
13.8%
8 451
12.2%
6 279
7.6%
5 275
7.5%
3 200
 
5.4%
7 197
 
5.3%
1 194
 
5.3%
9 188
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3683
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 660
17.9%
2 562
15.3%
508
13.8%
8 451
12.2%
6 279
7.6%
5 275
7.5%
3 200
 
5.4%
7 197
 
5.3%
1 194
 
5.3%
9 188
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing453
Missing (%)100.0%
Memory size4.1 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing453
Missing (%)100.0%
Memory size4.1 KiB

지번주소
Text

MISSING 

Distinct230
Distinct (%)51.8%
Missing9
Missing (%)2.0%
Memory size3.7 KiB
2024-05-11T05:21:17.358218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length47
Mean length28.682432
Min length18

Characters and Unicode

Total characters12735
Distinct characters205
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique195 ?
Unique (%)43.9%

Sample

1st row서울특별시 금천구 시흥동 ***-*번지
2nd row서울특별시 금천구 가산동 ***-*번지
3rd row서울특별시 금천구 가산동 ***-*번지
4th row서울특별시 금천구 가산동 ***-** 동진빌딩
5th row서울특별시 금천구 가산동 ***-*번지
ValueCountFrequency (%)
서울특별시 444
19.4%
금천구 439
19.1%
번지 349
15.2%
가산동 194
8.5%
호 163
 
7.1%
독산동 140
 
6.1%
시흥동 105
 
4.6%
93
 
4.1%
동 34
 
1.5%
층 24
 
1.0%
Other values (156) 308
13.4%
2024-05-11T05:21:18.515421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2771
21.8%
2138
16.8%
시 581
 
4.6%
동 498
 
3.9%
서 448
 
3.5%
울 445
 
3.5%
특 444
 
3.5%
별 444
 
3.5%
구 444
 
3.5%
천 442
 
3.5%
Other values (195) 4080
32.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7255
57.0%
Other Punctuation 2786
 
21.9%
Space Separator 2138
 
16.8%
Dash Punctuation 394
 
3.1%
Uppercase Letter 81
 
0.6%
Decimal Number 24
 
0.2%
Open Punctuation 22
 
0.2%
Close Punctuation 22
 
0.2%
Lowercase Letter 10
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 581
 
8.0%
동 498
 
6.9%
서 448
 
6.2%
울 445
 
6.1%
특 444
 
6.1%
별 444
 
6.1%
구 444
 
6.1%
천 442
 
6.1%
금 440
 
6.1%
지 385
 
5.3%
Other values (152) 2684
37.0%
Uppercase Letter
ValueCountFrequency (%)
B 26
32.1%
T 9
 
11.1%
A 8
 
9.9%
I 8
 
9.9%
C 5
 
6.2%
S 4
 
4.9%
Y 4
 
4.9%
H 4
 
4.9%
K 3
 
3.7%
E 2
 
2.5%
Other values (6) 8
 
9.9%
Decimal Number
ValueCountFrequency (%)
1 5
20.8%
0 4
16.7%
4 3
12.5%
5 2
 
8.3%
3 2
 
8.3%
2 2
 
8.3%
7 2
 
8.3%
6 2
 
8.3%
8 1
 
4.2%
9 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
30.0%
r 2
20.0%
n 1
 
10.0%
t 1
 
10.0%
u 1
 
10.0%
o 1
 
10.0%
w 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
* 2771
99.5%
, 12
 
0.4%
. 1
 
< 0.1%
/ 1
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 394
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7255
57.0%
Common 5389
42.3%
Latin 91
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 581
 
8.0%
동 498
 
6.9%
서 448
 
6.2%
울 445
 
6.1%
특 444
 
6.1%
별 444
 
6.1%
구 444
 
6.1%
천 442
 
6.1%
금 440
 
6.1%
지 385
 
5.3%
Other values (152) 2684
37.0%
Latin
ValueCountFrequency (%)
B 26
28.6%
T 9
 
9.9%
A 8
 
8.8%
I 8
 
8.8%
C 5
 
5.5%
S 4
 
4.4%
Y 4
 
4.4%
H 4
 
4.4%
K 3
 
3.3%
e 3
 
3.3%
Other values (13) 17
18.7%
Common
ValueCountFrequency (%)
* 2771
51.4%
2138
39.7%
- 394
 
7.3%
( 22
 
0.4%
) 22
 
0.4%
, 12
 
0.2%
1 5
 
0.1%
0 4
 
0.1%
4 3
 
0.1%
~ 3
 
0.1%
Other values (10) 15
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7255
57.0%
ASCII 5480
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2771
50.6%
2138
39.0%
- 394
 
7.2%
B 26
 
0.5%
( 22
 
0.4%
) 22
 
0.4%
, 12
 
0.2%
T 9
 
0.2%
A 8
 
0.1%
I 8
 
0.1%
Other values (33) 70
 
1.3%
Hangul
ValueCountFrequency (%)
시 581
 
8.0%
동 498
 
6.9%
서 448
 
6.2%
울 445
 
6.1%
특 444
 
6.1%
별 444
 
6.1%
구 444
 
6.1%
천 442
 
6.1%
금 440
 
6.1%
지 385
 
5.3%
Other values (152) 2684
37.0%

도로명주소
Text

MISSING 

Distinct302
Distinct (%)67.7%
Missing7
Missing (%)1.5%
Memory size3.7 KiB
2024-05-11T05:21:19.292553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length53
Mean length34.264574
Min length22

Characters and Unicode

Total characters15282
Distinct characters225
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique240 ?
Unique (%)53.8%

Sample

1st row서울특별시 금천구 독산로 ** (시흥동)
2nd row서울특별시 금천구 가산로 *** (가산동)
3rd row서울특별시 금천구 가산로 *** (가산동)
4th row서울특별시 금천구 가산로 *** (가산동, 동진빌딩)
5th row서울특별시 금천구 가산로*길 ** (가산동)
ValueCountFrequency (%)
456
16.4%
서울특별시 446
16.0%
금천구 441
15.8%
호 193
 
6.9%
가산동 185
 
6.6%
독산동 128
 
4.6%
가산디지털*로 112
 
4.0%
시흥동 78
 
2.8%
시흥대로 66
 
2.4%
층 46
 
1.7%
Other values (198) 633
22.7%
2024-05-11T05:21:20.622869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2515
16.5%
2510
16.4%
시 689
 
4.5%
산 591
 
3.9%
동 502
 
3.3%
) 464
 
3.0%
( 464
 
3.0%
서 461
 
3.0%
금 454
 
3.0%
울 447
 
2.9%
Other values (215) 6185
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8768
57.4%
Other Punctuation 2875
 
18.8%
Space Separator 2510
 
16.4%
Close Punctuation 464
 
3.0%
Open Punctuation 464
 
3.0%
Uppercase Letter 93
 
0.6%
Dash Punctuation 55
 
0.4%
Decimal Number 25
 
0.2%
Lowercase Letter 22
 
0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 689
 
7.9%
산 591
 
6.7%
동 502
 
5.7%
서 461
 
5.3%
금 454
 
5.2%
울 447
 
5.1%
구 446
 
5.1%
별 446
 
5.1%
특 446
 
5.1%
천 444
 
5.1%
Other values (172) 3842
43.8%
Uppercase Letter
ValueCountFrequency (%)
B 31
33.3%
T 9
 
9.7%
A 9
 
9.7%
S 7
 
7.5%
I 7
 
7.5%
C 5
 
5.4%
J 4
 
4.3%
Y 4
 
4.3%
K 4
 
4.3%
H 4
 
4.3%
Other values (6) 9
 
9.7%
Decimal Number
ValueCountFrequency (%)
1 6
24.0%
0 5
20.0%
7 4
16.0%
3 3
12.0%
6 3
12.0%
2 1
 
4.0%
9 1
 
4.0%
5 1
 
4.0%
8 1
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
27.3%
r 4
18.2%
t 3
13.6%
n 2
 
9.1%
u 2
 
9.1%
o 2
 
9.1%
w 2
 
9.1%
i 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
* 2515
87.5%
, 357
 
12.4%
/ 1
 
< 0.1%
& 1
 
< 0.1%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2510
100.0%
Close Punctuation
ValueCountFrequency (%)
) 464
100.0%
Open Punctuation
ValueCountFrequency (%)
( 464
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8768
57.4%
Common 6399
41.9%
Latin 115
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 689
 
7.9%
산 591
 
6.7%
동 502
 
5.7%
서 461
 
5.3%
금 454
 
5.2%
울 447
 
5.1%
구 446
 
5.1%
별 446
 
5.1%
특 446
 
5.1%
천 444
 
5.1%
Other values (172) 3842
43.8%
Latin
ValueCountFrequency (%)
B 31
27.0%
T 9
 
7.8%
A 9
 
7.8%
S 7
 
6.1%
I 7
 
6.1%
e 6
 
5.2%
C 5
 
4.3%
r 4
 
3.5%
J 4
 
3.5%
Y 4
 
3.5%
Other values (14) 29
25.2%
Common
ValueCountFrequency (%)
* 2515
39.3%
2510
39.2%
) 464
 
7.3%
( 464
 
7.3%
, 357
 
5.6%
- 55
 
0.9%
~ 6
 
0.1%
1 6
 
0.1%
0 5
 
0.1%
7 4
 
0.1%
Other values (9) 13
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8768
57.4%
ASCII 6514
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2515
38.6%
2510
38.5%
) 464
 
7.1%
( 464
 
7.1%
, 357
 
5.5%
- 55
 
0.8%
B 31
 
0.5%
T 9
 
0.1%
A 9
 
0.1%
S 7
 
0.1%
Other values (33) 93
 
1.4%
Hangul
ValueCountFrequency (%)
시 689
 
7.9%
산 591
 
6.7%
동 502
 
5.7%
서 461
 
5.3%
금 454
 
5.2%
울 447
 
5.1%
구 446
 
5.1%
별 446
 
5.1%
특 446
 
5.1%
천 444
 
5.1%
Other values (172) 3842
43.8%

도로명우편번호
Text

MISSING 

Distinct96
Distinct (%)36.6%
Missing191
Missing (%)42.2%
Memory size3.7 KiB
2024-05-11T05:21:21.489820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4694656
Min length5

Characters and Unicode

Total characters1433
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

Unique52 ?
Unique (%)19.8%

Sample

1st row153-801
2nd row153801
3rd row153806
4th row153813
5th row153829
ValueCountFrequency (%)
153803 19
 
7.3%
153801 17
 
6.5%
08501 14
 
5.3%
08503 13
 
5.0%
08504 10
 
3.8%
08591 9
 
3.4%
08639 9
 
3.4%
153802 9
 
3.4%
08589 7
 
2.7%
08511 6
 
2.3%
Other values (86) 149
56.9%
2024-05-11T05:21:23.052051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 276
19.3%
0 274
19.1%
5 267
18.6%
1 209
14.6%
3 182
12.7%
9 59
 
4.1%
6 59
 
4.1%
7 41
 
2.9%
2 35
 
2.4%
4 28
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1430
99.8%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 276
19.3%
0 274
19.2%
5 267
18.7%
1 209
14.6%
3 182
12.7%
9 59
 
4.1%
6 59
 
4.1%
7 41
 
2.9%
2 35
 
2.4%
4 28
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1433
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 276
19.3%
0 274
19.1%
5 267
18.6%
1 209
14.6%
3 182
12.7%
9 59
 
4.1%
6 59
 
4.1%
7 41
 
2.9%
2 35
 
2.4%
4 28
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1433
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 276
19.3%
0 274
19.1%
5 267
18.6%
1 209
14.6%
3 182
12.7%
9 59
 
4.1%
6 59
 
4.1%
7 41
 
2.9%
2 35
 
2.4%
4 28
 
2.0%

사업장명
Text

Distinct421
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-05-11T05:21:24.146667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length6.2803532
Min length2

Characters and Unicode

Total characters2845
Distinct characters328
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique396 ?
Unique (%)87.4%

Sample

1st row원광고
2nd row상선기획
3rd row선명광고
4th row건설미공사
5th row(주)대지
ValueCountFrequency (%)
주식회사 22
 
4.4%
형제광고 4
 
0.8%
지에스엠비즈(주 3
 
0.6%
세화기획 3
 
0.6%
미래광고 3
 
0.6%
삼성광고 3
 
0.6%
나래디자인 3
 
0.6%
애플기획 3
 
0.6%
유신광고 2
 
0.4%
뉴라이팅(주 2
 
0.4%
Other values (432) 451
90.4%
2024-05-11T05:21:25.694688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 177
 
6.2%
) 143
 
5.0%
( 143
 
5.0%
광 94
 
3.3%
고 89
 
3.1%
기 88
 
3.1%
디 80
 
2.8%
인 79
 
2.8%
획 78
 
2.7%
드 72
 
2.5%
Other values (318) 1802
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2449
86.1%
Close Punctuation 143
 
5.0%
Open Punctuation 143
 
5.0%
Space Separator 46
 
1.6%
Uppercase Letter 37
 
1.3%
Decimal Number 19
 
0.7%
Other Punctuation 4
 
0.1%
Lowercase Letter 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 177
 
7.2%
광 94
 
3.8%
고 89
 
3.6%
기 88
 
3.6%
디 80
 
3.3%
인 79
 
3.2%
획 78
 
3.2%
드 72
 
2.9%
스 67
 
2.7%
이 64
 
2.6%
Other values (291) 1561
63.7%
Uppercase Letter
ValueCountFrequency (%)
I 7
18.9%
W 5
13.5%
N 4
10.8%
L 4
10.8%
S 3
8.1%
P 3
8.1%
K 2
 
5.4%
D 2
 
5.4%
M 2
 
5.4%
C 1
 
2.7%
Other values (4) 4
10.8%
Decimal Number
ValueCountFrequency (%)
0 8
42.1%
2 6
31.6%
1 4
21.1%
7 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
n 1
33.3%
d 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
& 1
 
25.0%
Close Punctuation
ValueCountFrequency (%)
) 143
100.0%
Open Punctuation
ValueCountFrequency (%)
( 143
100.0%
Space Separator
ValueCountFrequency (%)
46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2449
86.1%
Common 356
 
12.5%
Latin 40
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 177
 
7.2%
광 94
 
3.8%
고 89
 
3.6%
기 88
 
3.6%
디 80
 
3.3%
인 79
 
3.2%
획 78
 
3.2%
드 72
 
2.9%
스 67
 
2.7%
이 64
 
2.6%
Other values (291) 1561
63.7%
Latin
ValueCountFrequency (%)
I 7
17.5%
W 5
12.5%
N 4
10.0%
L 4
10.0%
S 3
7.5%
P 3
7.5%
K 2
 
5.0%
D 2
 
5.0%
M 2
 
5.0%
C 1
 
2.5%
Other values (7) 7
17.5%
Common
ValueCountFrequency (%)
) 143
40.2%
( 143
40.2%
46
 
12.9%
0 8
 
2.2%
2 6
 
1.7%
1 4
 
1.1%
. 3
 
0.8%
7 1
 
0.3%
& 1
 
0.3%
- 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2449
86.1%
ASCII 396
 
13.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 177
 
7.2%
광 94
 
3.8%
고 89
 
3.6%
기 88
 
3.6%
디 80
 
3.3%
인 79
 
3.2%
획 78
 
3.2%
드 72
 
2.9%
스 67
 
2.7%
이 64
 
2.6%
Other values (291) 1561
63.7%
ASCII
ValueCountFrequency (%)
) 143
36.1%
( 143
36.1%
46
 
11.6%
0 8
 
2.0%
I 7
 
1.8%
2 6
 
1.5%
W 5
 
1.3%
1 4
 
1.0%
N 4
 
1.0%
L 4
 
1.0%
Other values (17) 26
 
6.6%

최종수정일자
Date

Distinct450
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum1988-08-10 00:00:00
Maximum2024-04-25 09:28:41
2024-05-11T05:21:26.439234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:27.069235image/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 size3.7 KiB
I
340 
U
113 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 340
75.1%
U 113
 
24.9%

Length

2024-05-11T05:21:27.521669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:21:27.893732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 340
75.1%
u 113
 
24.9%

데이터갱신일자
Date

Distinct123
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:07:00
2024-05-11T05:21:28.238486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:21:28.849426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing453
Missing (%)100.0%
Memory size4.1 KiB

좌표정보(X)
Real number (ℝ)

Distinct282
Distinct (%)62.8%
Missing4
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean190508.94
Minimum186221.42
Maximum195237.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T05:21:29.425761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186221.42
5-th percentile189140.29
Q1189685.52
median190692.85
Q3191274.01
95-th percentile191635.4
Maximum195237.64
Range9016.2276
Interquartile range (IQR)1588.4947

Descriptive statistics

Standard deviation944.53986
Coefficient of variation (CV)0.0049579817
Kurtosis1.5551207
Mean190508.94
Median Absolute Deviation (MAD)716.95791
Skewness0.13107412
Sum85538515
Variance892155.54
MonotonicityNot monotonic
2024-05-11T05:21:29.866717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191226.287379467 26
 
5.7%
189364.095969911 7
 
1.5%
189055.138252216 7
 
1.5%
189538.020935968 7
 
1.5%
189127.981104583 5
 
1.1%
189419.091886816 5
 
1.1%
189722.178532426 4
 
0.9%
189417.708595762 4
 
0.9%
189089.927764903 4
 
0.9%
189943.546219232 4
 
0.9%
Other values (272) 376
83.0%
ValueCountFrequency (%)
186221.415138447 1
 
0.2%
188968.189711073 1
 
0.2%
188974.800556597 1
 
0.2%
188989.54677536 1
 
0.2%
189030.107416961 2
 
0.4%
189031.670933573 1
 
0.2%
189055.138252216 7
1.5%
189089.927764903 4
0.9%
189127.981104583 5
1.1%
189158.740846154 2
 
0.4%
ValueCountFrequency (%)
195237.642733133 1
0.2%
194821.489833197 1
0.2%
192414.837596879 1
0.2%
192368.43764933 1
0.2%
192223.026218564 1
0.2%
192076.900908523 1
0.2%
192030.207914987 1
0.2%
192005.75168993 1
0.2%
191867.71958641 1
0.2%
191856.075940386 1
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct282
Distinct (%)62.8%
Missing4
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean440759.84
Minimum436962.34
Maximum448733.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-11T05:21:30.345209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum436962.34
5-th percentile437914.06
Q1439863.2
median441150.98
Q3441815.71
95-th percentile442353.28
Maximum448733.4
Range11771.064
Interquartile range (IQR)1952.5166

Descriptive statistics

Standard deviation1526.5713
Coefficient of variation (CV)0.0034634991
Kurtosis2.6293594
Mean440759.84
Median Absolute Deviation (MAD)777.70957
Skewness0.076160695
Sum1.9790117 × 108
Variance2330419.9
MonotonicityNot monotonic
2024-05-11T05:21:30.800690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
437914.06299827 26
 
5.7%
441746.981529543 7
 
1.5%
441958.334400683 7
 
1.5%
441982.427934953 7
 
1.5%
442460.505542105 5
 
1.1%
441207.655086501 5
 
1.1%
441920.972770099 4
 
0.9%
442309.174987731 4
 
0.9%
442569.300676147 4
 
0.9%
441990.817436962 4
 
0.9%
Other values (272) 376
83.0%
ValueCountFrequency (%)
436962.340703645 1
 
0.2%
437280.574150819 4
 
0.9%
437562.242368734 1
 
0.2%
437626.290843064 2
 
0.4%
437753.206548839 1
 
0.2%
437811.811502379 1
 
0.2%
437914.06299827 26
5.7%
437938.827513414 3
 
0.7%
438031.029341678 1
 
0.2%
438358.367852933 1
 
0.2%
ValueCountFrequency (%)
448733.404817253 1
 
0.2%
447911.031480425 1
 
0.2%
447192.585364129 1
 
0.2%
445887.091797205 1
 
0.2%
442569.300676147 4
0.9%
442562.722742062 4
0.9%
442493.020182986 1
 
0.2%
442478.356256941 2
 
0.4%
442460.505542105 5
1.1%
442451.35295792 1
 
0.2%

영업내용
Text

MISSING 

Distinct147
Distinct (%)38.7%
Missing73
Missing (%)16.1%
Memory size3.7 KiB
2024-05-11T05:21:31.711385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length13
Mean length12.578947
Min length3

Characters and Unicode

Total characters4780
Distinct characters132
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)33.2%

Sample

1st row옥외광고물 제작 및 설치
2nd row옥외광고물 제작 및 설치
3rd row옥외광고물 제작 및 설치
4th row옥외광고물 제작 및 광고대행
5th row옥외광고물 제작 및 설치
ValueCountFrequency (%)
및 262
20.1%
제작 250
19.2%
옥외광고물 244
18.8%
설치 191
14.7%
대행 47
 
3.6%
광고대행 28
 
2.2%
광고물 24
 
1.8%
간판 13
 
1.0%
광고물제작 11
 
0.8%
옥외광고업 11
 
0.8%
Other values (129) 220
16.9%
2024-05-11T05:21:33.096918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
923
19.3%
고 392
 
8.2%
광 391
 
8.2%
제 327
 
6.8%
물 318
 
6.7%
작 316
 
6.6%
외 303
 
6.3%
옥 301
 
6.3%
및 267
 
5.6%
설 222
 
4.6%
Other values (122) 1020
21.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3737
78.2%
Space Separator 923
 
19.3%
Other Punctuation 82
 
1.7%
Close Punctuation 15
 
0.3%
Open Punctuation 15
 
0.3%
Uppercase Letter 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 392
10.5%
광 391
10.5%
제 327
8.8%
물 318
8.5%
작 316
8.5%
외 303
8.1%
옥 301
8.1%
및 267
 
7.1%
설 222
 
5.9%
치 218
 
5.8%
Other values (110) 682
18.2%
Uppercase Letter
ValueCountFrequency (%)
L 2
25.0%
E 2
25.0%
D 2
25.0%
C 1
12.5%
I 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 65
79.3%
/ 9
 
11.0%
? 6
 
7.3%
. 2
 
2.4%
Space Separator
ValueCountFrequency (%)
923
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3737
78.2%
Common 1035
 
21.7%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 392
10.5%
광 391
10.5%
제 327
8.8%
물 318
8.5%
작 316
8.5%
외 303
8.1%
옥 301
8.1%
및 267
 
7.1%
설 222
 
5.9%
치 218
 
5.8%
Other values (110) 682
18.2%
Common
ValueCountFrequency (%)
923
89.2%
, 65
 
6.3%
) 15
 
1.4%
( 15
 
1.4%
/ 9
 
0.9%
? 6
 
0.6%
. 2
 
0.2%
Latin
ValueCountFrequency (%)
L 2
25.0%
E 2
25.0%
D 2
25.0%
C 1
12.5%
I 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3735
78.1%
ASCII 1043
 
21.8%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
923
88.5%
, 65
 
6.2%
) 15
 
1.4%
( 15
 
1.4%
/ 9
 
0.9%
? 6
 
0.6%
. 2
 
0.2%
L 2
 
0.2%
E 2
 
0.2%
D 2
 
0.2%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
고 392
10.5%
광 391
10.5%
제 327
8.8%
물 318
8.5%
작 316
8.5%
외 303
8.1%
옥 301
8.1%
및 267
 
7.1%
설 222
 
5.9%
치 218
 
5.8%
Other values (109) 680
18.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
03170000199331700800850006419930728<NA>3폐업40폐업20080908<NA><NA><NA>02 896 2133<NA><NA>서울특별시 금천구 시흥동 ***-*번지서울특별시 금천구 독산로 ** (시흥동)<NA>원광고2008-10-22 17:11:38I2018-08-31 23:59:59.0<NA>191608.437173439033.631628옥외광고물 제작 및 설치
13170000200031700710820000119920110<NA>3폐업40폐업19960418<NA><NA><NA>02 8588801<NA><NA>서울특별시 금천구 가산동 ***-*번지서울특별시 금천구 가산로 *** (가산동)<NA>상선기획2007-11-29 10:59:47I2018-08-31 23:59:59.0<NA>190213.674354441843.959941옥외광고물 제작 및 설치
23170000200031700710820000219920527<NA>3폐업40폐업20011207<NA><NA><NA>02 8649216<NA><NA>서울특별시 금천구 가산동 ***-*번지서울특별시 금천구 가산로 *** (가산동)<NA>선명광고2007-11-29 11:03:20I2018-08-31 23:59:59.0<NA>190309.542318441703.937676옥외광고물 제작 및 설치
3317000020003170071082000031991-04-13<NA>3폐업40폐업2023-07-07<NA><NA><NA>02 8569573<NA><NA>서울특별시 금천구 가산동 ***-** 동진빌딩서울특별시 금천구 가산로 *** (가산동, 동진빌딩)153-801건설미공사2023-07-07 14:51:39U2022-12-07 00:09:00.0<NA>190326.138955441762.418481<NA>
43170000200031700710820000419900908<NA>3폐업40폐업20190515<NA><NA><NA>02 8695481<NA><NA>서울특별시 금천구 가산동 ***-*번지서울특별시 금천구 가산로*길 ** (가산동)153801(주)대지2019-05-15 10:17:25U2019-05-17 02:40:00.0<NA>190288.219707441610.507784옥외광고물 제작 및 광고대행
53170000200031700710820000519880810<NA>3폐업40폐업<NA><NA><NA><NA>02 8563785<NA><NA>서울특별시 금천구 시흥동 ***-**번지서울특별시 금천구 금하로 *** (시흥동)<NA>미광사1988-08-10 00:00:00I2018-08-31 23:59:59.0<NA>191334.975382439133.203931옥외광고물 제작 및 설치
63170000200031700710820000619940420<NA>3폐업40폐업19960418<NA><NA><NA>02 8687881<NA><NA>서울특별시 금천구 가산동 ***-**번지서울특별시 금천구 남부순환로 **** (가산동)<NA>태영양기업2014-12-01 14:38:09I2018-08-31 23:59:59.0<NA>190582.242658441796.564193옥외광고물 제작 및 설치
73170000200031700710820000719940420<NA>3폐업40폐업19960418<NA><NA><NA>02 8392063<NA><NA>서울특별시 금천구 가산동 ***-**번지<NA><NA>독수리광고기획2007-11-29 10:31:01I2018-08-31 23:59:59.0<NA>190524.406789441596.961642옥외광고물제작 및 설치
83170000200031700710820000819940528<NA>3폐업40폐업<NA><NA><NA><NA>02 8384944<NA><NA>서울특별시 금천구 가산동 ***-**번지서울특별시 금천구 남부순환로***길 ** (가산동)<NA>대진기획1994-05-28 00:00:00I2018-08-31 23:59:59.0<NA>190429.450148441664.424554옥외광고물 제작 및 설치
93170000200031700710820000919901031<NA>3폐업40폐업19960124<NA><NA><NA>02 8680855<NA><NA>서울특별시 금천구 가산동 ***-*번지서울특별시 금천구 서부샛길 *** (가산동)<NA>미래기획2007-11-29 10:42:56I2018-08-31 23:59:59.0<NA>188989.546775441936.498123옥외광고물 제작 및 설치
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
443317000020233170231085000132023-06-29<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 ***-**서울특별시 금천구 시흥대로 ***, ***호 (독산동)08545애플기획2023-06-30 16:27:57I2022-12-07 00:02:00.0<NA>190963.034476441110.169979<NA>
444317000020233170231085000142023-08-23<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산디지털*로 ***, 지하*층 ***,***,***호 (가산동)08505액스디자인2023-08-23 23:33:24I2022-12-07 22:05:00.0<NA>189282.642165441654.484591<NA>
445317000020233170231085000152023-11-15<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 *** 시흥유통상가서울특별시 금천구 시흥대로 **, 시흥유통상가 **동 *층 ***호 (시흥동)08639블루디자인 주식회사2023-11-15 11:00:57I2022-10-31 23:07:00.0<NA>191226.287379437914.062998<NA>
446317000020233170231085000162023-12-27<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산디지털*로 ***, SK트윈테크타워 B동 ***호 (가산동)08589(주)네오디스플레이2024-01-02 10:30:15U2023-12-01 00:04:00.0<NA>189575.815288441503.181731<NA>
447317000020243170231085000012024-01-05<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 벚꽃로**길 **, 에이스 하이엔드타워 클래식 지식산업센터 ***호 (가산동)08517지엘에스이(주)2024-01-05 15:38:39I2023-12-01 00:07:00.0<NA>190089.848501441320.867321<NA>
448317000020243170231085000022024-01-22<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 디지털로 ***, 에이스가산타워 *층 ***호 (가산동)08505주식회사 정공아이이앤씨2024-01-22 18:39:37I2023-11-30 22:04:00.0<NA>189325.86426441551.478094<NA>
449317000020243170231085000032024-02-27<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가마산로 **, 대륭테크노타운*차 ****호 (가산동)08501주식회사 오카시오솔루션2024-04-15 09:35:24U2023-12-03 23:07:00.0<NA>189089.927765442569.300676<NA>
450317000020243170231085000042024-04-11<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 벚꽃로 ***-*, *층 ***호 (가산동)08508더그리드2024-04-11 17:12:28I2023-12-03 23:03:00.0<NA>189483.292274442451.352958<NA>
451317000020243170231085000052023-02-14<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 **-* 대륭포스트타워*차서울특별시 금천구 벚꽃로 ***, 대륭포스트타워*차 ****호 (가산동)08510주식회사 큐엠씨코리아2024-04-18 17:21:12I2023-12-03 22:00:00.0<NA>189662.959176442139.514492<NA>
452317000020243170231085000062024-04-24<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산디지털*로 **, 대륭테크노타운**차 ***호 (가산동)08592주식회사 씨엠지2024-04-25 09:28:41I2023-12-03 22:07:00.0<NA>189686.475440870.092609<NA>