Overview

Dataset statistics

Number of variables26
Number of observations380
Missing cells3270
Missing cells (%)33.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory81.0 KiB
Average record size in memory218.3 B

Variable types

Categorical6
Text7
DateTime6
Unsupported5
Numeric2

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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-17842/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 380 (100.0%) missing valuesMissing
폐업일자 has 114 (30.0%) missing valuesMissing
휴업시작일자 has 371 (97.6%) missing valuesMissing
휴업종료일자 has 371 (97.6%) missing valuesMissing
재개업일자 has 380 (100.0%) missing valuesMissing
전화번호 has 143 (37.6%) missing valuesMissing
소재지면적 has 380 (100.0%) missing valuesMissing
소재지우편번호 has 380 (100.0%) missing valuesMissing
지번주소 has 16 (4.2%) missing valuesMissing
도로명주소 has 21 (5.5%) missing valuesMissing
도로명우편번호 has 217 (57.1%) missing valuesMissing
업태구분명 has 380 (100.0%) missing valuesMissing
좌표정보(X) has 24 (6.3%) missing valuesMissing
좌표정보(Y) has 24 (6.3%) missing valuesMissing
영업내용 has 69 (18.2%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 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
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 01:50:49.927710
Analysis finished2024-05-11 01:50:51.588035
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
3150000
380 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3150000 380
100.0%

Length

2024-05-11T01:50:51.889422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:50:52.312675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 380
100.0%

관리번호
Text

UNIQUE 

Distinct380
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-11T01:50:53.013683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters7220
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

Unique380 ?
Unique (%)100.0%

Sample

1st row1988315008908100041
2nd row1988315008908200003
3rd row1988315008908200005
4th row1988315008908200006
5th row1988315008908200007
ValueCountFrequency (%)
1988315008908100041 1
 
0.3%
2011315012708500002 1
 
0.3%
2012315012708500003 1
 
0.3%
2012315012708500002 1
 
0.3%
2011315012708500009 1
 
0.3%
2011315012708500008 1
 
0.3%
2011315012708500007 1
 
0.3%
2011315012708500006 1
 
0.3%
2011315012708500005 1
 
0.3%
2011315012708500004 1
 
0.3%
Other values (370) 370
97.4%
2024-05-11T01:50:54.225781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2740
38.0%
1 981
 
13.6%
2 940
 
13.0%
8 634
 
8.8%
5 625
 
8.7%
3 521
 
7.2%
9 388
 
5.4%
7 223
 
3.1%
4 87
 
1.2%
6 78
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7217
> 99.9%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2740
38.0%
1 981
 
13.6%
2 940
 
13.0%
8 634
 
8.8%
5 625
 
8.7%
3 521
 
7.2%
9 388
 
5.4%
7 223
 
3.1%
4 87
 
1.2%
6 78
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7220
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2740
38.0%
1 981
 
13.6%
2 940
 
13.0%
8 634
 
8.8%
5 625
 
8.7%
3 521
 
7.2%
9 388
 
5.4%
7 223
 
3.1%
4 87
 
1.2%
6 78
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7220
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2740
38.0%
1 981
 
13.6%
2 940
 
13.0%
8 634
 
8.8%
5 625
 
8.7%
3 521
 
7.2%
9 388
 
5.4%
7 223
 
3.1%
4 87
 
1.2%
6 78
 
1.1%

인허가일자
Date

Distinct326
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum1988-07-01 00:00:00
Maximum2024-01-16 00:00:00
2024-05-11T01:50:54.663151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:50:55.254920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
3
217 
1
104 
4
53 
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 217
57.1%
1 104
27.4%
4 53
 
13.9%
2 6
 
1.6%

Length

2024-05-11T01:50:55.837270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:50:56.323349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 217
57.1%
1 104
27.4%
4 53
 
13.9%
2 6
 
1.6%

영업상태명
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
폐업
217 
영업/정상
104 
취소/말소/만료/정지/중지
53 
휴업
 
6

Length

Max length14
Median length2
Mean length4.4947368
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 217
57.1%
영업/정상 104
27.4%
취소/말소/만료/정지/중지 53
 
13.9%
휴업 6
 
1.6%

Length

2024-05-11T01:50:56.897334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:50:57.429676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 217
57.1%
영업/정상 104
27.4%
취소/말소/만료/정지/중지 53
 
13.9%
휴업 6
 
1.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
40
217 
20
104 
70
53 
30
 
6

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row40
2nd row20
3rd row40
4th row20
5th row40

Common Values

ValueCountFrequency (%)
40 217
57.1%
20 104
27.4%
70 53
 
13.9%
30 6
 
1.6%

Length

2024-05-11T01:50:57.976579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:50:58.535996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 217
57.1%
20 104
27.4%
70 53
 
13.9%
30 6
 
1.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
폐업
217 
정상
104 
취소
53 
휴업
 
6

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 217
57.1%
정상 104
27.4%
취소 53
 
13.9%
휴업 6
 
1.6%

Length

2024-05-11T01:50:59.107778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:50:59.622204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 217
57.1%
정상 104
27.4%
취소 53
 
13.9%
휴업 6
 
1.6%

폐업일자
Date

MISSING 

Distinct181
Distinct (%)68.0%
Missing114
Missing (%)30.0%
Memory size3.1 KiB
Minimum2000-08-21 00:00:00
Maximum2024-04-15 00:00:00
2024-05-11T01:51:00.162297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:01.231062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct9
Distinct (%)100.0%
Missing371
Missing (%)97.6%
Memory size3.1 KiB
Minimum2008-04-21 00:00:00
Maximum2023-06-08 00:00:00
2024-05-11T01:51:01.811511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:02.313004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

휴업종료일자
Date

MISSING 

Distinct9
Distinct (%)100.0%
Missing371
Missing (%)97.6%
Memory size3.1 KiB
Minimum2009-04-20 00:00:00
Maximum2026-05-31 00:00:00
2024-05-11T01:51:02.806782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:03.358572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

전화번호
Text

MISSING 

Distinct230
Distinct (%)97.0%
Missing143
Missing (%)37.6%
Memory size3.1 KiB
2024-05-11T01:51:04.038319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.9240506
Min length2

Characters and Unicode

Total characters2352
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

Unique223 ?
Unique (%)94.1%

Sample

1st row0226033761
2nd row0226935082
3rd row0226048017
4th row0226967704
5th row0226964824
ValueCountFrequency (%)
02 28
 
9.7%
0226655929 2
 
0.7%
0226969117 2
 
0.7%
0226076262 2
 
0.7%
0226680058 2
 
0.7%
0226648571 2
 
0.7%
0226596295 2
 
0.7%
711 2
 
0.7%
0226362100 2
 
0.7%
2679 2
 
0.7%
Other values (241) 242
84.0%
2024-05-11T01:51:05.063244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 498
21.2%
6 423
18.0%
0 402
17.1%
3 173
 
7.4%
1 162
 
6.9%
5 141
 
6.0%
4 133
 
5.7%
9 131
 
5.6%
7 114
 
4.8%
8 107
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2284
97.1%
Space Separator 68
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 498
21.8%
6 423
18.5%
0 402
17.6%
3 173
 
7.6%
1 162
 
7.1%
5 141
 
6.2%
4 133
 
5.8%
9 131
 
5.7%
7 114
 
5.0%
8 107
 
4.7%
Space Separator
ValueCountFrequency (%)
68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2352
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 498
21.2%
6 423
18.0%
0 402
17.1%
3 173
 
7.4%
1 162
 
6.9%
5 141
 
6.0%
4 133
 
5.7%
9 131
 
5.6%
7 114
 
4.8%
8 107
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2352
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 498
21.2%
6 423
18.0%
0 402
17.1%
3 173
 
7.4%
1 162
 
6.9%
5 141
 
6.0%
4 133
 
5.7%
9 131
 
5.6%
7 114
 
4.8%
8 107
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

지번주소
Text

MISSING 

Distinct198
Distinct (%)54.4%
Missing16
Missing (%)4.2%
Memory size3.1 KiB
2024-05-11T01:51:05.640517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length39
Mean length25.368132
Min length17

Characters and Unicode

Total characters9234
Distinct characters216
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

Unique151 ?
Unique (%)41.5%

Sample

1st row서울특별시 강서구 공항동 **-**번지
2nd row서울특별시 강서구 화곡동 ***-**
3rd row서울특별시 강서구 화곡동 ****-*번지
4th row서울특별시 강서구 화곡동 ***-*번지
5th row서울특별시 강서구 화곡동 ***-*번지
ValueCountFrequency (%)
서울특별시 363
21.6%
강서구 353
21.0%
번지 261
15.5%
화곡동 130
 
7.7%
101
 
6.0%
방화동 63
 
3.8%
등촌동 48
 
2.9%
호 46
 
2.7%
층 38
 
2.3%
마곡동 31
 
1.8%
Other values (146) 245
14.6%
2024-05-11T01:51:06.636853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1912
20.7%
1604
17.4%
서 725
 
7.9%
동 373
 
4.0%
시 366
 
4.0%
울 365
 
4.0%
구 364
 
3.9%
특 363
 
3.9%
별 363
 
3.9%
강 358
 
3.9%
Other values (206) 2441
26.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5293
57.3%
Other Punctuation 1916
 
20.7%
Space Separator 1604
 
17.4%
Dash Punctuation 336
 
3.6%
Uppercase Letter 25
 
0.3%
Close Punctuation 18
 
0.2%
Open Punctuation 18
 
0.2%
Decimal Number 18
 
0.2%
Letter Number 5
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 725
13.7%
동 373
 
7.0%
시 366
 
6.9%
울 365
 
6.9%
구 364
 
6.9%
특 363
 
6.9%
별 363
 
6.9%
강 358
 
6.8%
지 272
 
5.1%
번 262
 
4.9%
Other values (172) 1482
28.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
16.0%
A 3
12.0%
M 3
12.0%
G 2
 
8.0%
I 2
 
8.0%
W 2
 
8.0%
K 1
 
4.0%
C 1
 
4.0%
Z 1
 
4.0%
R 1
 
4.0%
Other values (5) 5
20.0%
Decimal Number
ValueCountFrequency (%)
7 5
27.8%
0 3
16.7%
2 2
 
11.1%
3 2
 
11.1%
1 2
 
11.1%
5 2
 
11.1%
9 1
 
5.6%
8 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
* 1912
99.8%
, 3
 
0.2%
& 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅳ 1
 
20.0%
Ⅰ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
1604
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 336
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5293
57.3%
Common 3910
42.3%
Latin 31
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 725
13.7%
동 373
 
7.0%
시 366
 
6.9%
울 365
 
6.9%
구 364
 
6.9%
특 363
 
6.9%
별 363
 
6.9%
강 358
 
6.8%
지 272
 
5.1%
번 262
 
4.9%
Other values (172) 1482
28.0%
Latin
ValueCountFrequency (%)
B 4
12.9%
A 3
 
9.7%
Ⅱ 3
 
9.7%
M 3
 
9.7%
G 2
 
6.5%
I 2
 
6.5%
W 2
 
6.5%
K 1
 
3.2%
C 1
 
3.2%
Z 1
 
3.2%
Other values (9) 9
29.0%
Common
ValueCountFrequency (%)
* 1912
48.9%
1604
41.0%
- 336
 
8.6%
) 18
 
0.5%
( 18
 
0.5%
7 5
 
0.1%
, 3
 
0.1%
0 3
 
0.1%
2 2
 
0.1%
3 2
 
0.1%
Other values (5) 7
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5293
57.3%
ASCII 3936
42.6%
Number Forms 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1912
48.6%
1604
40.8%
- 336
 
8.5%
) 18
 
0.5%
( 18
 
0.5%
7 5
 
0.1%
B 4
 
0.1%
A 3
 
0.1%
, 3
 
0.1%
0 3
 
0.1%
Other values (21) 30
 
0.8%
Hangul
ValueCountFrequency (%)
서 725
13.7%
동 373
 
7.0%
시 366
 
6.9%
울 365
 
6.9%
구 364
 
6.9%
특 363
 
6.9%
별 363
 
6.9%
강 358
 
6.8%
지 272
 
5.1%
번 262
 
4.9%
Other values (172) 1482
28.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅳ 1
 
20.0%
Ⅰ 1
 
20.0%

도로명주소
Text

MISSING 

Distinct292
Distinct (%)81.3%
Missing21
Missing (%)5.5%
Memory size3.1 KiB
2024-05-11T01:51:07.133018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length30.529248
Min length19

Characters and Unicode

Total characters10960
Distinct characters237
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

Unique252 ?
Unique (%)70.2%

Sample

1st row서울특별시 강서구 방화동로 **-* (공항동)
2nd row서울특별시 강서구 강서로*길 **-*, *층 (화곡동)
3rd row서울특별시 강서구 강서로**길 * (화곡동)
4th row서울특별시 강서구 가로공원로**길 ** (화곡동)
5th row서울특별시 강서구 강서로**길 * (화곡동)
ValueCountFrequency (%)
서울특별시 358
17.4%
358
17.4%
강서구 351
17.1%
화곡동 105
 
5.1%
호 86
 
4.2%
층 64
 
3.1%
방화동 51
 
2.5%
마곡동 34
 
1.7%
등촌동 28
 
1.4%
양천로 24
 
1.2%
Other values (231) 599
29.1%
2024-05-11T01:51:08.042568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1867
17.0%
* 1667
15.2%
서 762
 
7.0%
강 399
 
3.6%
동 391
 
3.6%
) 373
 
3.4%
( 373
 
3.4%
로 367
 
3.3%
시 361
 
3.3%
구 359
 
3.3%
Other values (227) 4041
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6356
58.0%
Other Punctuation 1876
 
17.1%
Space Separator 1867
 
17.0%
Close Punctuation 373
 
3.4%
Open Punctuation 373
 
3.4%
Dash Punctuation 55
 
0.5%
Uppercase Letter 34
 
0.3%
Decimal Number 15
 
0.1%
Letter Number 7
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 762
 
12.0%
강 399
 
6.3%
동 391
 
6.2%
로 367
 
5.8%
시 361
 
5.7%
구 359
 
5.6%
울 359
 
5.6%
별 358
 
5.6%
특 358
 
5.6%
화 278
 
4.4%
Other values (191) 2364
37.2%
Uppercase Letter
ValueCountFrequency (%)
B 10
29.4%
A 4
 
11.8%
M 3
 
8.8%
W 2
 
5.9%
K 2
 
5.9%
C 2
 
5.9%
I 2
 
5.9%
G 2
 
5.9%
V 1
 
2.9%
P 1
 
2.9%
Other values (5) 5
14.7%
Decimal Number
ValueCountFrequency (%)
7 3
20.0%
2 3
20.0%
0 2
13.3%
4 2
13.3%
1 2
13.3%
5 1
 
6.7%
3 1
 
6.7%
6 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 1667
88.9%
, 207
 
11.0%
& 2
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
71.4%
Ⅰ 1
 
14.3%
Ⅳ 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
a 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
1867
100.0%
Close Punctuation
ValueCountFrequency (%)
) 373
100.0%
Open Punctuation
ValueCountFrequency (%)
( 373
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6356
58.0%
Common 4561
41.6%
Latin 43
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 762
 
12.0%
강 399
 
6.3%
동 391
 
6.2%
로 367
 
5.8%
시 361
 
5.7%
구 359
 
5.6%
울 359
 
5.6%
별 358
 
5.6%
특 358
 
5.6%
화 278
 
4.4%
Other values (191) 2364
37.2%
Latin
ValueCountFrequency (%)
B 10
23.3%
Ⅱ 5
11.6%
A 4
 
9.3%
M 3
 
7.0%
W 2
 
4.7%
K 2
 
4.7%
C 2
 
4.7%
I 2
 
4.7%
G 2
 
4.7%
Ⅰ 1
 
2.3%
Other values (10) 10
23.3%
Common
ValueCountFrequency (%)
1867
40.9%
* 1667
36.5%
) 373
 
8.2%
( 373
 
8.2%
, 207
 
4.5%
- 55
 
1.2%
7 3
 
0.1%
2 3
 
0.1%
~ 2
 
< 0.1%
0 2
 
< 0.1%
Other values (6) 9
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6356
58.0%
ASCII 4597
41.9%
Number Forms 7
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1867
40.6%
* 1667
36.3%
) 373
 
8.1%
( 373
 
8.1%
, 207
 
4.5%
- 55
 
1.2%
B 10
 
0.2%
A 4
 
0.1%
M 3
 
0.1%
7 3
 
0.1%
Other values (23) 35
 
0.8%
Hangul
ValueCountFrequency (%)
서 762
 
12.0%
강 399
 
6.3%
동 391
 
6.2%
로 367
 
5.8%
시 361
 
5.7%
구 359
 
5.6%
울 359
 
5.6%
별 358
 
5.6%
특 358
 
5.6%
화 278
 
4.4%
Other values (191) 2364
37.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
71.4%
Ⅰ 1
 
14.3%
Ⅳ 1
 
14.3%

도로명우편번호
Text

MISSING 

Distinct109
Distinct (%)66.9%
Missing217
Missing (%)57.1%
Memory size3.1 KiB
2024-05-11T01:51:08.629971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2883436
Min length5

Characters and Unicode

Total characters862
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

Unique76 ?
Unique (%)46.6%

Sample

1st row07781
2nd row157812
3rd row07766
4th row07604
5th row07628
ValueCountFrequency (%)
07788 7
 
4.3%
07631 5
 
3.1%
07573 5
 
3.1%
157290 4
 
2.5%
07605 4
 
2.5%
07673 3
 
1.8%
07604 3
 
1.8%
07528 3
 
1.8%
157930 3
 
1.8%
07627 3
 
1.8%
Other values (99) 123
75.5%
2024-05-11T01:51:09.798958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 230
26.7%
0 168
19.5%
5 98
11.4%
1 83
 
9.6%
6 75
 
8.7%
8 73
 
8.5%
9 39
 
4.5%
2 36
 
4.2%
3 29
 
3.4%
4 27
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 858
99.5%
Dash Punctuation 4
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 230
26.8%
0 168
19.6%
5 98
11.4%
1 83
 
9.7%
6 75
 
8.7%
8 73
 
8.5%
9 39
 
4.5%
2 36
 
4.2%
3 29
 
3.4%
4 27
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 862
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 230
26.7%
0 168
19.5%
5 98
11.4%
1 83
 
9.6%
6 75
 
8.7%
8 73
 
8.5%
9 39
 
4.5%
2 36
 
4.2%
3 29
 
3.4%
4 27
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 862
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 230
26.7%
0 168
19.5%
5 98
11.4%
1 83
 
9.6%
6 75
 
8.7%
8 73
 
8.5%
9 39
 
4.5%
2 36
 
4.2%
3 29
 
3.4%
4 27
 
3.1%

사업장명
Text

Distinct361
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-11T01:51:10.418515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length16
Mean length6.0184211
Min length2

Characters and Unicode

Total characters2287
Distinct characters327
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique342 ?
Unique (%)90.0%

Sample

1st row미건기획
2nd row새한광고
3rd row신일광고
4th row삼환광고기획
5th row칠칠광고
ValueCountFrequency (%)
주식회사 22
 
5.3%
미도사 2
 
0.5%
주)토탈싸인날으는곰 2
 
0.5%
디자인 2
 
0.5%
솔로몬공사 2
 
0.5%
주)시스테크비즈 2
 
0.5%
드림애드컴 2
 
0.5%
대일간판 2
 
0.5%
국제광고 2
 
0.5%
대한광고기획 2
 
0.5%
Other values (367) 379
90.5%
2024-05-11T01:51:11.548336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 118
 
5.2%
) 98
 
4.3%
( 97
 
4.2%
광 87
 
3.8%
고 85
 
3.7%
기 81
 
3.5%
인 73
 
3.2%
획 65
 
2.8%
디 57
 
2.5%
드 51
 
2.2%
Other values (317) 1475
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1983
86.7%
Close Punctuation 98
 
4.3%
Open Punctuation 97
 
4.2%
Space Separator 40
 
1.7%
Uppercase Letter 33
 
1.4%
Lowercase Letter 22
 
1.0%
Decimal Number 9
 
0.4%
Other Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 118
 
6.0%
광 87
 
4.4%
고 85
 
4.3%
기 81
 
4.1%
인 73
 
3.7%
획 65
 
3.3%
디 57
 
2.9%
드 51
 
2.6%
이 49
 
2.5%
사 47
 
2.4%
Other values (277) 1270
64.0%
Uppercase Letter
ValueCountFrequency (%)
O 5
15.2%
S 3
 
9.1%
B 3
 
9.1%
C 3
 
9.1%
M 2
 
6.1%
R 2
 
6.1%
W 2
 
6.1%
P 2
 
6.1%
T 2
 
6.1%
X 1
 
3.0%
Other values (8) 8
24.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
18.2%
n 3
13.6%
o 2
9.1%
h 2
9.1%
s 2
9.1%
g 2
9.1%
i 2
9.1%
r 1
 
4.5%
p 1
 
4.5%
c 1
 
4.5%
Other values (2) 2
9.1%
Decimal Number
ValueCountFrequency (%)
2 4
44.4%
0 2
22.2%
3 1
 
11.1%
7 1
 
11.1%
1 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
. 2
40.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Space Separator
ValueCountFrequency (%)
40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1983
86.7%
Common 249
 
10.9%
Latin 55
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 118
 
6.0%
광 87
 
4.4%
고 85
 
4.3%
기 81
 
4.1%
인 73
 
3.7%
획 65
 
3.3%
디 57
 
2.9%
드 51
 
2.6%
이 49
 
2.5%
사 47
 
2.4%
Other values (277) 1270
64.0%
Latin
ValueCountFrequency (%)
O 5
 
9.1%
e 4
 
7.3%
n 3
 
5.5%
S 3
 
5.5%
B 3
 
5.5%
C 3
 
5.5%
o 2
 
3.6%
M 2
 
3.6%
R 2
 
3.6%
W 2
 
3.6%
Other values (20) 26
47.3%
Common
ValueCountFrequency (%)
) 98
39.4%
( 97
39.0%
40
16.1%
2 4
 
1.6%
& 3
 
1.2%
. 2
 
0.8%
0 2
 
0.8%
3 1
 
0.4%
7 1
 
0.4%
1 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1983
86.7%
ASCII 304
 
13.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 118
 
6.0%
광 87
 
4.4%
고 85
 
4.3%
기 81
 
4.1%
인 73
 
3.7%
획 65
 
3.3%
디 57
 
2.9%
드 51
 
2.6%
이 49
 
2.5%
사 47
 
2.4%
Other values (277) 1270
64.0%
ASCII
ValueCountFrequency (%)
) 98
32.2%
( 97
31.9%
40
13.2%
O 5
 
1.6%
2 4
 
1.3%
e 4
 
1.3%
n 3
 
1.0%
& 3
 
1.0%
S 3
 
1.0%
B 3
 
1.0%
Other values (30) 44
14.5%

최종수정일자
Date

Distinct367
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum1988-07-05 00:00:00
Maximum2024-04-15 10:28:30
2024-05-11T01:51:12.190463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:12.779739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
I
242 
U
138 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 242
63.7%
U 138
36.3%

Length

2024-05-11T01:51:13.340199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:51:13.738455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 242
63.7%
u 138
36.3%

데이터갱신일자
Date

Distinct119
Distinct (%)31.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:07:00
2024-05-11T01:51:14.310410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:51:14.869383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing380
Missing (%)100.0%
Memory size3.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct306
Distinct (%)86.0%
Missing24
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean185969.7
Minimum182849.27
Maximum210858.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T01:51:15.445301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182849.27
5-th percentile183166.04
Q1183921.51
median186002.85
Q3186988.44
95-th percentile188528.83
Maximum210858.08
Range28008.805
Interquartile range (IQR)3066.9352

Descriptive statistics

Standard deviation2627.0233
Coefficient of variation (CV)0.014126082
Kurtosis31.014303
Mean185969.7
Median Absolute Deviation (MAD)1271.5103
Skewness4.1038139
Sum66205214
Variance6901251.6
MonotonicityNot monotonic
2024-05-11T01:51:16.003082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187831.720345753 4
 
1.1%
185894.50946257 3
 
0.8%
187952.560027898 3
 
0.8%
186615.060983644 3
 
0.8%
183846.102699972 3
 
0.8%
187239.182172485 3
 
0.8%
183358.781703343 3
 
0.8%
186948.005215541 3
 
0.8%
183193.419740204 3
 
0.8%
185800.852689577 3
 
0.8%
Other values (296) 325
85.5%
(Missing) 24
 
6.3%
ValueCountFrequency (%)
182849.273281599 1
0.3%
182857.528466005 1
0.3%
182897.251870492 1
0.3%
182914.598086861 1
0.3%
182914.770762913 1
0.3%
182944.648231601 1
0.3%
182962.037203619 2
0.5%
182962.656182429 1
0.3%
182965.91468667 1
0.3%
182970.965516527 1
0.3%
ValueCountFrequency (%)
210858.078292136 1
0.3%
202099.252780012 1
0.3%
201027.523454284 2
0.5%
194029.235749604 1
0.3%
191255.370552728 1
0.3%
190372.127120283 1
0.3%
190026.251961332 1
0.3%
189975.894746956 1
0.3%
189152.269637156 2
0.5%
189145.455894355 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct306
Distinct (%)86.0%
Missing24
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean450127
Minimum440742.22
Maximum476215.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T01:51:16.575297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440742.22
5-th percentile447512.89
Q1449130.66
median450215.87
Q3451336.36
95-th percentile452271.51
Maximum476215.93
Range35473.702
Interquartile range (IQR)2205.7037

Descriptive statistics

Standard deviation2166.0265
Coefficient of variation (CV)0.0048120341
Kurtosis59.249317
Mean450127
Median Absolute Deviation (MAD)1106.504
Skewness4.6074564
Sum1.6024521 × 108
Variance4691670.6
MonotonicityNot monotonic
2024-05-11T01:51:17.041480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450994.213236731 4
 
1.1%
451570.248347401 3
 
0.8%
450562.020225978 3
 
0.8%
450133.936019244 3
 
0.8%
452293.455519022 3
 
0.8%
450877.798368564 3
 
0.8%
452095.608719712 3
 
0.8%
447641.032856616 3
 
0.8%
450718.971862427 3
 
0.8%
447239.554007375 3
 
0.8%
Other values (296) 325
85.5%
(Missing) 24
 
6.3%
ValueCountFrequency (%)
440742.223479611 1
 
0.3%
443921.619035316 1
 
0.3%
445768.146016485 1
 
0.3%
447067.240942159 1
 
0.3%
447209.706639763 1
 
0.3%
447239.554007375 3
0.8%
447291.688405525 1
 
0.3%
447362.026682263 1
 
0.3%
447363.087988425 1
 
0.3%
447385.207831205 2
0.5%
ValueCountFrequency (%)
476215.925309934 1
0.3%
456185.615536089 1
0.3%
454478.280848247 2
0.5%
452771.603941827 1
0.3%
452713.505241493 2
0.5%
452439.585967958 1
0.3%
452433.599210627 1
0.3%
452382.286261488 1
0.3%
452341.350851567 1
0.3%
452341.141834255 2
0.5%

영업내용
Text

MISSING 

Distinct88
Distinct (%)28.3%
Missing69
Missing (%)18.2%
Memory size3.1 KiB
2024-05-11T01:51:17.863490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length5
Mean length8.3118971
Min length3

Characters and Unicode

Total characters2585
Distinct characters75
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)22.8%

Sample

1st row간판 광고물 제작
2nd row옥외광고업
3rd row옥외광고업
4th row옥외광고업
5th row옥외광고업
ValueCountFrequency (%)
옥외광고업 193
31.9%
및 63
 
10.4%
제작 61
 
10.1%
옥외광고물 40
 
6.6%
설치 38
 
6.3%
광고물 27
 
4.5%
대행업 21
 
3.5%
대행 18
 
3.0%
옥외광고물등 18
 
3.0%
시공 10
 
1.7%
Other values (62) 116
19.2%
2024-05-11T01:51:19.060597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 311
12.0%
고 311
12.0%
295
11.4%
외 266
10.3%
옥 264
10.2%
업 227
8.8%
제 105
 
4.1%
작 102
 
3.9%
물 93
 
3.6%
설 68
 
2.6%
Other values (65) 543
21.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2197
85.0%
Space Separator 295
 
11.4%
Other Punctuation 79
 
3.1%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Decimal Number 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 311
14.2%
고 311
14.2%
외 266
12.1%
옥 264
12.0%
업 227
10.3%
제 105
 
4.8%
작 102
 
4.6%
물 93
 
4.2%
설 68
 
3.1%
및 63
 
2.9%
Other values (56) 387
17.6%
Other Punctuation
ValueCountFrequency (%)
, 58
73.4%
. 20
 
25.3%
/ 1
 
1.3%
Decimal Number
ValueCountFrequency (%)
9 2
50.0%
1 1
25.0%
2 1
25.0%
Space Separator
ValueCountFrequency (%)
295
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2197
85.0%
Common 388
 
15.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 311
14.2%
고 311
14.2%
외 266
12.1%
옥 264
12.0%
업 227
10.3%
제 105
 
4.8%
작 102
 
4.6%
물 93
 
4.2%
설 68
 
3.1%
및 63
 
2.9%
Other values (56) 387
17.6%
Common
ValueCountFrequency (%)
295
76.0%
, 58
 
14.9%
. 20
 
5.2%
) 5
 
1.3%
( 5
 
1.3%
9 2
 
0.5%
/ 1
 
0.3%
1 1
 
0.3%
2 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2197
85.0%
ASCII 388
 
15.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 311
14.2%
고 311
14.2%
외 266
12.1%
옥 264
12.0%
업 227
10.3%
제 105
 
4.8%
작 102
 
4.6%
물 93
 
4.2%
설 68
 
3.1%
및 63
 
2.9%
Other values (56) 387
17.6%
ASCII
ValueCountFrequency (%)
295
76.0%
, 58
 
14.9%
. 20
 
5.2%
) 5
 
1.3%
( 5
 
1.3%
9 2
 
0.5%
/ 1
 
0.3%
1 1
 
0.3%
2 1
 
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
03150000198831500890810004119880929<NA>3폐업40폐업20021116<NA><NA><NA><NA><NA><NA>서울특별시 강서구 공항동 **-**번지서울특별시 강서구 방화동로 **-* (공항동)<NA>미건기획1988-09-29 00:00:00I2018-08-31 23:59:59.0<NA>183224.436722451287.879101<NA>
13150000198831500890820000320210511<NA>1영업/정상20정상<NA><NA><NA><NA>0226033761<NA><NA>서울특별시 강서구 화곡동 ***-**서울특별시 강서구 강서로*길 **-*, *층 (화곡동)07781새한광고2021-05-11 18:47:47U2021-05-13 02:40:00.0<NA>185427.811151448290.561575간판 광고물 제작
23150000198831500890820000520160101<NA>3폐업40폐업20160101<NA><NA><NA>0226935082<NA><NA>서울특별시 강서구 화곡동 ****-*번지서울특별시 강서구 강서로**길 * (화곡동)<NA>신일광고2019-11-19 13:27:35U2019-11-21 02:40:00.0<NA>185564.39487449110.068076옥외광고업
33150000198831500890820000619880701<NA>1영업/정상20정상<NA><NA><NA><NA>0226048017<NA><NA>서울특별시 강서구 화곡동 ***-*번지서울특별시 강서구 가로공원로**길 ** (화곡동)<NA>삼환광고기획2008-09-26 17:09:37I2018-08-31 23:59:59.0<NA>185523.448617448273.008065옥외광고업
43150000198831500890820000719880701<NA>3폐업40폐업20060922<NA><NA><NA>0226967704<NA><NA>서울특별시 강서구 화곡동 ***-*번지서울특별시 강서구 강서로**길 * (화곡동)<NA>칠칠광고2012-01-12 15:26:03I2018-08-31 23:59:59.0<NA>186327.695011447795.940273옥외광고업
53150000198831500890820000819880701<NA>3폐업40폐업20130108<NA><NA><NA>0226964824<NA><NA>서울특별시 강서구 화곡동 ***-*번지서울특별시 강서구 곰달래로 *** (화곡동)<NA>삼지광고2013-01-09 11:03:29I2018-08-31 23:59:59.0<NA>187341.613703447732.980615옥외광고업
63150000198831500890820001219880701<NA>1영업/정상20정상<NA><NA><NA><NA>0236628792<NA><NA>서울특별시 강서구 등촌동 ***-**번지 ***호서울특별시 강서구 공항대로 ***, ***호 (등촌동)<NA>강서종합광고2007-08-23 10:30:59I2018-08-31 23:59:59.0<NA>187225.562638450301.409775옥외광고업
73150000198831500890820001320190902<NA>4취소/말소/만료/정지/중지70취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동 ***-***번지 지하서울특별시 강서구 방화동로**길 ** (방화동,지하)<NA>서우2019-09-02 11:02:27U2019-09-04 02:40:00.0<NA>183548.744394451595.468462옥외광고물등 제작,표시,설치,대행
83150000198831500890820001419880705<NA>3폐업40폐업20040716<NA><NA><NA>0226076262<NA><NA>서울특별시 강서구 화곡동 ***-**번지서울특별시 강서구 월정로 *** (화곡동)<NA>한성광고유리1988-07-05 00:00:00I2018-08-31 23:59:59.0<NA>185558.341538447752.975296옥외광고업
93150000198831500890820001819880701<NA>3폐업40폐업20140113<NA><NA><NA>0226635089<NA><NA>서울특별시 강서구 공항동 **-**번지서울특별시 강서구 공항대로 ** (공항동)157812국일광고2014-01-13 11:31:45I2018-08-31 23:59:59.0<NA>183024.384488451023.571369옥외광고업
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
370315000020223150127085000071992-04-10<NA>3폐업40폐업2024-03-14<NA><NA><NA>02 2183 1650<NA><NA>서울특별시 강서구 마곡동 ***-*서울특별시 강서구 공항대로 ***, ***호 (마곡동)07806(주)세일에스피2024-03-14 09:29:04U2023-12-02 23:06:00.0<NA>185148.900295450719.380288<NA>
371315000020233150127085000012023-02-16<NA>1영업/정상20정상<NA><NA><NA><NA>02 780 2323<NA><NA>서울특별시 강서구 등촌동 ***-* 가양역 더스카이밸리*차 지식산업센터서울특별시 강서구 화곡로 ***, 가양역 더스카이밸리*차 지식산업센터 B***호 (등촌동)07548(주)가이드삼정2023-03-09 17:33:17U2022-12-02 23:01:00.0<NA>187160.665637450873.017067<NA>
372315000020233150127085000022023-02-21<NA>3폐업40폐업2023-07-12<NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 ***-* 가양역 더스카이밸리*차 지식산업센터서울특별시 강서구 화곡로 ***, 가양역 더스카이밸리*차 지식산업센터 ****호 (등촌동)07548(주)훌리악2023-07-12 16:44:28U2022-12-06 23:04:00.0<NA>187160.665637450873.017067<NA>
373315000020233150127085000032013-08-26<NA>1영업/정상20정상<NA><NA><NA><NA>02 711 9575<NA><NA>서울특별시 강서구 방화동 ***-***서울특별시 강서구 방화동로*길 **, *층 (방화동)07620디앤큐플랜2023-04-06 17:16:45I2022-12-04 00:08:00.0<NA>183139.813326451392.316888<NA>
374315000020233150127085000042023-08-30<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 강서로**길 **, C&K하우스 ***호 (가양동)07573아이와이비2023-10-10 09:56:32U2022-10-30 23:02:00.0<NA>186010.726577451656.527785<NA>
375315000020233150127085000052012-05-24<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 **** VIP빌딩서울특별시 강서구 공항대로 ***, VIP빌딩 지하*층 *-*호 (화곡동)07654하나기획2023-10-16 10:10:44U2022-10-30 23:08:00.0<NA>187052.323132450291.979224<NA>
376315000020233150127085000062023-11-27<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-** 파인스퀘어서울특별시 강서구 마곡중앙*로 **, 파인스퀘어 *층 B***호 (마곡동)07631요미디자인2023-11-27 16:39:58I2022-10-31 22:09:00.0<NA>184844.841587450680.365609<NA>
377315000020233150127085000072022-05-06<NA>1영업/정상20정상<NA><NA><NA><NA>02 585 5131<NA><NA>서울특별시 강서구 등촌동 ***-*서울특별시 강서구 양천로 ***, **층 ****~ ****호 (등촌동)07549(주)에이번2023-12-18 17:57:05I2022-11-01 22:00:00.0<NA>187381.316534450751.226504<NA>
378315000020243150127085000012024-01-16<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 *** 오스템임플란트 중앙연구소서울특별시 강서구 마곡중앙**로 *, 오스템임플란트 중앙연구소 사무동 사인사업실 *층 (마곡동)07789오스템임플란트 주식회사2024-01-16 17:12:59I2023-11-30 23:08:00.0<NA>184850.386899451728.204959<NA>
379315000020243150127085000022014-10-15<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 ***-**서울특별시 강서구 강서로 ***, *층 (화곡동)157-887로사2024-04-15 10:28:30I2023-12-03 23:07:00.0<NA>185952.529486448562.169464<NA>