Overview

Dataset statistics

Number of variables26
Number of observations419
Missing cells3978
Missing cells (%)36.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory89.3 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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-17847/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 419 (100.0%) missing valuesMissing
폐업일자 has 144 (34.4%) missing valuesMissing
휴업시작일자 has 403 (96.2%) missing valuesMissing
휴업종료일자 has 403 (96.2%) missing valuesMissing
재개업일자 has 415 (99.0%) missing valuesMissing
전화번호 has 263 (62.8%) missing valuesMissing
소재지면적 has 419 (100.0%) missing valuesMissing
소재지우편번호 has 419 (100.0%) missing valuesMissing
도로명주소 has 84 (20.0%) missing valuesMissing
도로명우편번호 has 338 (80.7%) missing valuesMissing
업태구분명 has 419 (100.0%) missing valuesMissing
좌표정보(X) has 77 (18.4%) missing valuesMissing
좌표정보(Y) has 77 (18.4%) missing valuesMissing
영업내용 has 94 (22.4%) 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 started2024-04-29 19:28:55.668490
Analysis finished2024-04-29 19:28:56.436061
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
3200000
419 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 419
100.0%

Length

2024-04-30T04:28:56.494026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:56.576465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 419
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct419
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0042675 × 1018
Minimum1.99932 × 1018
Maximum2.02432 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-30T04:28:56.662962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.99932 × 1018
5-th percentile2.00132 × 1018
Q12.00132 × 1018
median2.00132 × 1018
Q32.00432 × 1018
95-th percentile2.01832 × 1018
Maximum2.02432 × 1018
Range2.5000017 × 1016
Interquartile range (IQR)3.000006 × 1015

Descriptive statistics

Standard deviation5.4983402 × 1015
Coefficient of variation (CV)0.0027433166
Kurtosis3.0367396
Mean2.0042675 × 1018
Median Absolute Deviation (MAD)256
Skewness2.0028731
Sum-8.7621448 × 1018
Variance3.0231745 × 1031
MonotonicityStrictly increasing
2024-04-30T04:28:56.785261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1999320008408200289 1
 
0.2%
2001320008408200330 1
 
0.2%
2002320008408200024 1
 
0.2%
2002320008408200023 1
 
0.2%
2002320008408200022 1
 
0.2%
2002320008408200021 1
 
0.2%
2002320008408200020 1
 
0.2%
2002320008408200019 1
 
0.2%
2002320008408200018 1
 
0.2%
2002320008408200017 1
 
0.2%
Other values (409) 409
97.6%
ValueCountFrequency (%)
1999320008408200289 1
0.2%
1999320008808200284 1
0.2%
2001320002408200001 1
0.2%
2001320002408200002 1
0.2%
2001320002408200003 1
0.2%
2001320002408200004 1
0.2%
2001320002408200005 1
0.2%
2001320002408200006 1
0.2%
2001320002408200007 1
0.2%
2001320002408200008 1
0.2%
ValueCountFrequency (%)
2024320024908500001 1
0.2%
2023320024908500004 1
0.2%
2023320024908500003 1
0.2%
2023320024908500002 1
0.2%
2023320024908500001 1
0.2%
2022320024908500002 1
0.2%
2022320024908500001 1
0.2%
2021320024908500004 1
0.2%
2021320024908500003 1
0.2%
2021320024908500002 1
0.2%

인허가일자
Date

Distinct291
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum1988-07-08 00:00:00
Maximum2024-03-26 00:00:00
2024-04-30T04:28:56.922721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:28:57.032052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing419
Missing (%)100.0%
Memory size3.8 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
3
277 
1
135 
2
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 277
66.1%
1 135
32.2%
2 7
 
1.7%

Length

2024-04-30T04:28:57.140854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:57.223455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 277
66.1%
1 135
32.2%
2 7
 
1.7%

영업상태명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
폐업
277 
영업/정상
135 
휴업
 
7

Length

Max length5
Median length2
Mean length2.9665871
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 277
66.1%
영업/정상 135
32.2%
휴업 7
 
1.7%

Length

2024-04-30T04:28:57.313265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:57.407556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 277
66.1%
영업/정상 135
32.2%
휴업 7
 
1.7%

상세영업상태코드
Categorical

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
40
277 
1
72 
20
62 
30
 
7
10
 
1

Length

Max length2
Median length2
Mean length1.8281623
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
40 277
66.1%
1 72
 
17.2%
20 62
 
14.8%
30 7
 
1.7%
10 1
 
0.2%

Length

2024-04-30T04:28:57.497125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:57.598597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 277
66.1%
1 72
 
17.2%
20 62
 
14.8%
30 7
 
1.7%
10 1
 
0.2%

상세영업상태명
Categorical

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
폐업
277 
<NA>
72 
정상
62 
휴업
 
7
설립신청
 
1

Length

Max length4
Median length2
Mean length2.3484487
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 277
66.1%
<NA> 72
 
17.2%
정상 62
 
14.8%
휴업 7
 
1.7%
설립신청 1
 
0.2%

Length

2024-04-30T04:28:57.718276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:57.831852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 277
66.1%
na 72
 
17.2%
정상 62
 
14.8%
휴업 7
 
1.7%
설립신청 1
 
0.2%

폐업일자
Date

MISSING 

Distinct193
Distinct (%)70.2%
Missing144
Missing (%)34.4%
Memory size3.4 KiB
Minimum1992-04-24 00:00:00
Maximum2023-10-12 00:00:00
2024-04-30T04:28:57.960168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:28:58.077396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct16
Distinct (%)100.0%
Missing403
Missing (%)96.2%
Memory size3.4 KiB
Minimum2006-01-22 00:00:00
Maximum2022-06-07 00:00:00
2024-04-30T04:28:58.159331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:28:58.241442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

휴업종료일자
Date

MISSING 

Distinct16
Distinct (%)100.0%
Missing403
Missing (%)96.2%
Memory size3.4 KiB
Minimum2006-07-22 00:00:00
Maximum2025-01-01 00:00:00
2024-04-30T04:28:58.326469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:28:58.414978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

재개업일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing415
Missing (%)99.0%
Memory size3.4 KiB
Minimum2010-07-20 00:00:00
Maximum2023-11-22 00:00:00
2024-04-30T04:28:58.501444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:28:58.572261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

전화번호
Text

MISSING 

Distinct149
Distinct (%)95.5%
Missing263
Missing (%)62.8%
Memory size3.4 KiB
2024-04-30T04:28:58.788390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.070513
Min length7

Characters and Unicode

Total characters1571
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

Unique143 ?
Unique (%)91.7%

Sample

1st row02 8780105
2nd row02 8788230
3rd row02 8568497
4th row02 8569816
5th row05 8554996
ValueCountFrequency (%)
02 135
42.5%
874 3
 
0.9%
8752600 3
 
0.9%
8668646 2
 
0.6%
871 2
 
0.6%
868 2
 
0.6%
885 2
 
0.6%
8590415 2
 
0.6%
8379812 2
 
0.6%
8570481 2
 
0.6%
Other values (162) 163
51.3%
2024-04-30T04:28:59.161350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 260
16.5%
0 243
15.5%
2 239
15.2%
175
11.1%
7 118
7.5%
6 114
7.3%
5 111
7.1%
3 92
 
5.9%
4 91
 
5.8%
1 70
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1396
88.9%
Space Separator 175
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 260
18.6%
0 243
17.4%
2 239
17.1%
7 118
8.5%
6 114
8.2%
5 111
8.0%
3 92
 
6.6%
4 91
 
6.5%
1 70
 
5.0%
9 58
 
4.2%
Space Separator
ValueCountFrequency (%)
175
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1571
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 260
16.5%
0 243
15.5%
2 239
15.2%
175
11.1%
7 118
7.5%
6 114
7.3%
5 111
7.1%
3 92
 
5.9%
4 91
 
5.8%
1 70
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1571
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 260
16.5%
0 243
15.5%
2 239
15.2%
175
11.1%
7 118
7.5%
6 114
7.3%
5 111
7.1%
3 92
 
5.9%
4 91
 
5.8%
1 70
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing419
Missing (%)100.0%
Memory size3.8 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing419
Missing (%)100.0%
Memory size3.8 KiB

지번주소
Text

Distinct100
Distinct (%)24.1%
Missing4
Missing (%)1.0%
Memory size3.4 KiB
2024-04-30T04:28:59.341121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length42
Mean length24.125301
Min length19

Characters and Unicode

Total characters10012
Distinct characters111
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

Unique64 ?
Unique (%)15.4%

Sample

1st row서울특별시 관악구 봉천동 ***-*
2nd row서울특별시 관악구 신림동 ***-**번지
3rd row서울특별시 관악구 봉천동 ***-**번지
4th row서울특별시 관악구 봉천동 ***-*번지
5th row서울특별시 관악구 신림동 ****-**번지
ValueCountFrequency (%)
서울특별시 415
22.9%
관악구 415
22.9%
번지 360
19.8%
신림동 225
12.4%
봉천동 174
9.6%
125
 
6.9%
층 22
 
1.2%
호 16
 
0.9%
남현동 16
 
0.9%
연강빌딩 2
 
0.1%
Other values (42) 45
 
2.5%
2024-04-30T04:28:59.628916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2187
21.8%
1877
18.7%
동 422
 
4.2%
관 417
 
4.2%
악 417
 
4.2%
서 416
 
4.2%
울 416
 
4.2%
시 416
 
4.2%
특 415
 
4.1%
별 415
 
4.1%
Other values (101) 2614
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5525
55.2%
Other Punctuation 2188
 
21.9%
Space Separator 1877
 
18.7%
Dash Punctuation 405
 
4.0%
Decimal Number 10
 
0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 422
 
7.6%
관 417
 
7.5%
악 417
 
7.5%
서 416
 
7.5%
울 416
 
7.5%
시 416
 
7.5%
특 415
 
7.5%
별 415
 
7.5%
구 415
 
7.5%
지 363
 
6.6%
Other values (87) 1413
25.6%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
6 2
20.0%
7 1
 
10.0%
3 1
 
10.0%
5 1
 
10.0%
9 1
 
10.0%
0 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
* 2187
> 99.9%
: 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
1877
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 405
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5525
55.2%
Common 4486
44.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 422
 
7.6%
관 417
 
7.5%
악 417
 
7.5%
서 416
 
7.5%
울 416
 
7.5%
시 416
 
7.5%
특 415
 
7.5%
별 415
 
7.5%
구 415
 
7.5%
지 363
 
6.6%
Other values (87) 1413
25.6%
Common
ValueCountFrequency (%)
* 2187
48.8%
1877
41.8%
- 405
 
9.0%
) 3
 
0.1%
( 3
 
0.1%
1 3
 
0.1%
6 2
 
< 0.1%
: 1
 
< 0.1%
7 1
 
< 0.1%
3 1
 
< 0.1%
Other values (3) 3
 
0.1%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5525
55.2%
ASCII 4487
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2187
48.7%
1877
41.8%
- 405
 
9.0%
) 3
 
0.1%
( 3
 
0.1%
1 3
 
0.1%
6 2
 
< 0.1%
: 1
 
< 0.1%
7 1
 
< 0.1%
3 1
 
< 0.1%
Other values (4) 4
 
0.1%
Hangul
ValueCountFrequency (%)
동 422
 
7.6%
관 417
 
7.5%
악 417
 
7.5%
서 416
 
7.5%
울 416
 
7.5%
시 416
 
7.5%
특 415
 
7.5%
별 415
 
7.5%
구 415
 
7.5%
지 363
 
6.6%
Other values (87) 1413
25.6%

도로명주소
Text

MISSING 

Distinct183
Distinct (%)54.6%
Missing84
Missing (%)20.0%
Memory size3.4 KiB
2024-04-30T04:28:59.802115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length26.597015
Min length21

Characters and Unicode

Total characters8910
Distinct characters136
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

Unique132 ?
Unique (%)39.4%

Sample

1st row서울특별시 관악구 은천로**길 ** (봉천동)
2nd row서울특별시 관악구 신림로 *** (신림동)
3rd row서울특별시 관악구 은천로 **-* (봉천동)
4th row서울특별시 관악구 봉천로 *** (봉천동)
5th row서울특별시 관악구 봉천로 *** (신림동)
ValueCountFrequency (%)
서울특별시 335
19.2%
관악구 335
19.2%
334
19.1%
신림동 170
9.7%
봉천동 123
 
7.0%
남부순환로 55
 
3.2%
봉천로 41
 
2.3%
남부순환로***길 25
 
1.4%
층 21
 
1.2%
호 21
 
1.2%
Other values (108) 286
16.4%
2024-04-30T04:29:00.126458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1590
17.8%
* 1244
 
14.0%
관 354
 
4.0%
악 347
 
3.9%
동 346
 
3.9%
시 341
 
3.8%
) 338
 
3.8%
( 338
 
3.8%
서 337
 
3.8%
울 337
 
3.8%
Other values (126) 3338
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5277
59.2%
Space Separator 1590
 
17.8%
Other Punctuation 1318
 
14.8%
Close Punctuation 338
 
3.8%
Open Punctuation 338
 
3.8%
Dash Punctuation 41
 
0.5%
Decimal Number 6
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 354
 
6.7%
악 347
 
6.6%
동 346
 
6.6%
시 341
 
6.5%
서 337
 
6.4%
울 337
 
6.4%
구 337
 
6.4%
별 335
 
6.3%
특 335
 
6.3%
로 301
 
5.7%
Other values (113) 1907
36.1%
Decimal Number
ValueCountFrequency (%)
5 2
33.3%
1 2
33.3%
2 1
16.7%
3 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 1244
94.4%
, 73
 
5.5%
: 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
1590
100.0%
Close Punctuation
ValueCountFrequency (%)
) 338
100.0%
Open Punctuation
ValueCountFrequency (%)
( 338
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5277
59.2%
Common 3631
40.8%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 354
 
6.7%
악 347
 
6.6%
동 346
 
6.6%
시 341
 
6.5%
서 337
 
6.4%
울 337
 
6.4%
구 337
 
6.4%
별 335
 
6.3%
특 335
 
6.3%
로 301
 
5.7%
Other values (113) 1907
36.1%
Common
ValueCountFrequency (%)
1590
43.8%
* 1244
34.3%
) 338
 
9.3%
( 338
 
9.3%
, 73
 
2.0%
- 41
 
1.1%
5 2
 
0.1%
1 2
 
0.1%
: 1
 
< 0.1%
2 1
 
< 0.1%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5277
59.2%
ASCII 3633
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1590
43.8%
* 1244
34.2%
) 338
 
9.3%
( 338
 
9.3%
, 73
 
2.0%
- 41
 
1.1%
5 2
 
0.1%
1 2
 
0.1%
B 1
 
< 0.1%
: 1
 
< 0.1%
Other values (3) 3
 
0.1%
Hangul
ValueCountFrequency (%)
관 354
 
6.7%
악 347
 
6.6%
동 346
 
6.6%
시 341
 
6.5%
서 337
 
6.4%
울 337
 
6.4%
구 337
 
6.4%
별 335
 
6.3%
특 335
 
6.3%
로 301
 
5.7%
Other values (113) 1907
36.1%

도로명우편번호
Text

MISSING 

Distinct51
Distinct (%)63.0%
Missing338
Missing (%)80.7%
Memory size3.4 KiB
2024-04-30T04:29:00.304975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4938272
Min length5

Characters and Unicode

Total characters445
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

Unique34 ?
Unique (%)42.0%

Sample

1st row151050
2nd row151811
3rd row151823
4th row151015
5th row08756
ValueCountFrequency (%)
151015 8
 
9.9%
151050 5
 
6.2%
151890 3
 
3.7%
08756 3
 
3.7%
08762 3
 
3.7%
08754 3
 
3.7%
08859 2
 
2.5%
08765 2
 
2.5%
08758 2
 
2.5%
08846 2
 
2.5%
Other values (41) 48
59.3%
2024-04-30T04:29:00.584524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 97
21.8%
8 85
19.1%
0 73
16.4%
5 67
15.1%
7 44
9.9%
4 21
 
4.7%
6 17
 
3.8%
2 16
 
3.6%
9 15
 
3.4%
3 8
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 443
99.6%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 97
21.9%
8 85
19.2%
0 73
16.5%
5 67
15.1%
7 44
9.9%
4 21
 
4.7%
6 17
 
3.8%
2 16
 
3.6%
9 15
 
3.4%
3 8
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 445
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 97
21.8%
8 85
19.1%
0 73
16.4%
5 67
15.1%
7 44
9.9%
4 21
 
4.7%
6 17
 
3.8%
2 16
 
3.6%
9 15
 
3.4%
3 8
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 445
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 97
21.8%
8 85
19.1%
0 73
16.4%
5 67
15.1%
7 44
9.9%
4 21
 
4.7%
6 17
 
3.8%
2 16
 
3.6%
9 15
 
3.4%
3 8
 
1.8%

사업장명
Text

Distinct377
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-04-30T04:29:00.839967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length4
Mean length5.0190931
Min length2

Characters and Unicode

Total characters2103
Distinct characters269
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

Unique338 ?
Unique (%)80.7%

Sample

1st row금강기획
2nd row연희광고
3rd row개성기업사
4th row대성광고
5th row삼정공사
ValueCountFrequency (%)
주식회사 5
 
1.1%
코리아광고 3
 
0.7%
대신기획 3
 
0.7%
동아광고 3
 
0.7%
현대디자인 2
 
0.5%
금강기획 2
 
0.5%
으뜸애드컴 2
 
0.5%
전일광고 2
 
0.5%
공간기획 2
 
0.5%
푸름기획 2
 
0.5%
Other values (380) 413
94.1%
2024-04-30T04:29:01.212813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 160
 
7.6%
고 147
 
7.0%
기 128
 
6.1%
획 103
 
4.9%
인 50
 
2.4%
사 50
 
2.4%
주 48
 
2.3%
) 44
 
2.1%
( 43
 
2.0%
디 42
 
2.0%
Other values (259) 1288
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1935
92.0%
Close Punctuation 44
 
2.1%
Open Punctuation 43
 
2.0%
Uppercase Letter 37
 
1.8%
Space Separator 20
 
1.0%
Decimal Number 12
 
0.6%
Lowercase Letter 9
 
0.4%
Other Punctuation 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 160
 
8.3%
고 147
 
7.6%
기 128
 
6.6%
획 103
 
5.3%
인 50
 
2.6%
사 50
 
2.6%
주 48
 
2.5%
디 42
 
2.2%
아 38
 
2.0%
이 36
 
1.9%
Other values (224) 1133
58.6%
Uppercase Letter
ValueCountFrequency (%)
M 5
13.5%
S 5
13.5%
I 4
10.8%
A 4
10.8%
D 3
8.1%
T 3
8.1%
C 2
 
5.4%
L 2
 
5.4%
N 2
 
5.4%
Y 2
 
5.4%
Other values (5) 5
13.5%
Decimal Number
ValueCountFrequency (%)
1 3
25.0%
0 2
16.7%
2 2
16.7%
3 2
16.7%
7 1
 
8.3%
8 1
 
8.3%
5 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
a 2
22.2%
g 2
22.2%
d 1
11.1%
y 1
11.1%
o 1
11.1%
l 1
11.1%
i 1
11.1%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
, 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1935
92.0%
Common 122
 
5.8%
Latin 46
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 160
 
8.3%
고 147
 
7.6%
기 128
 
6.6%
획 103
 
5.3%
인 50
 
2.6%
사 50
 
2.6%
주 48
 
2.5%
디 42
 
2.2%
아 38
 
2.0%
이 36
 
1.9%
Other values (224) 1133
58.6%
Latin
ValueCountFrequency (%)
M 5
 
10.9%
S 5
 
10.9%
I 4
 
8.7%
A 4
 
8.7%
D 3
 
6.5%
T 3
 
6.5%
a 2
 
4.3%
C 2
 
4.3%
L 2
 
4.3%
N 2
 
4.3%
Other values (12) 14
30.4%
Common
ValueCountFrequency (%)
) 44
36.1%
( 43
35.2%
20
16.4%
1 3
 
2.5%
0 2
 
1.6%
2 2
 
1.6%
3 2
 
1.6%
- 1
 
0.8%
7 1
 
0.8%
& 1
 
0.8%
Other values (3) 3
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1935
92.0%
ASCII 168
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 160
 
8.3%
고 147
 
7.6%
기 128
 
6.6%
획 103
 
5.3%
인 50
 
2.6%
사 50
 
2.6%
주 48
 
2.5%
디 42
 
2.2%
아 38
 
2.0%
이 36
 
1.9%
Other values (224) 1133
58.6%
ASCII
ValueCountFrequency (%)
) 44
26.2%
( 43
25.6%
20
11.9%
M 5
 
3.0%
S 5
 
3.0%
I 4
 
2.4%
A 4
 
2.4%
D 3
 
1.8%
T 3
 
1.8%
1 3
 
1.8%
Other values (25) 34
20.2%

최종수정일자
Date

Distinct358
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum1988-07-08 00:00:00
Maximum2024-04-19 17:00:42
2024-04-30T04:29:01.337347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:29:01.630448image/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 size3.4 KiB
I
356 
U
63 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 356
85.0%
U 63
 
15.0%

Length

2024-04-30T04:29:01.726332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:29:01.803970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 356
85.0%
u 63
 
15.0%

데이터갱신일자
Date

Distinct62
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:01:00
2024-04-30T04:29:01.904789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:29:02.026495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing419
Missing (%)100.0%
Memory size3.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct277
Distinct (%)81.0%
Missing77
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean194031.45
Minimum191084.94
Maximum198279.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-30T04:29:02.145387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191084.94
5-th percentile191256.97
Q1192539.61
median194039.47
Q3195312.54
95-th percentile196995.58
Maximum198279.35
Range7194.4167
Interquartile range (IQR)2772.9343

Descriptive statistics

Standard deviation1756.0734
Coefficient of variation (CV)0.0090504579
Kurtosis-0.53195257
Mean194031.45
Median Absolute Deviation (MAD)1402.2852
Skewness0.2952689
Sum66358755
Variance3083793.9
MonotonicityNot monotonic
2024-04-30T04:29:02.255739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191777.224277816 4
 
1.0%
192276.928766385 4
 
1.0%
193540.291322316 4
 
1.0%
191218.505271161 4
 
1.0%
192892.568164658 3
 
0.7%
194277.353687353 3
 
0.7%
194593.736897631 3
 
0.7%
198006.674977451 3
 
0.7%
197018.762935556 3
 
0.7%
191757.6952795 3
 
0.7%
Other values (267) 308
73.5%
(Missing) 77
 
18.4%
ValueCountFrequency (%)
191084.937997691 1
 
0.2%
191096.699272161 1
 
0.2%
191115.633108049 1
 
0.2%
191131.263415395 2
0.5%
191173.041411634 1
 
0.2%
191210.078732513 1
 
0.2%
191218.505271161 4
1.0%
191218.603640354 1
 
0.2%
191222.709779684 2
0.5%
191240.601085883 1
 
0.2%
ValueCountFrequency (%)
198279.354654344 1
 
0.2%
198265.804887714 1
 
0.2%
198260.790961903 1
 
0.2%
198248.942426333 1
 
0.2%
198215.79929384 1
 
0.2%
198194.552573233 1
 
0.2%
198188.02139327 1
 
0.2%
198181.677452232 1
 
0.2%
198061.173643438 1
 
0.2%
198006.674977451 3
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct277
Distinct (%)81.0%
Missing77
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean442149.33
Minimum439023.17
Maximum443341.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-30T04:29:02.380817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439023.17
5-th percentile440924.11
Q1441884.85
median442274
Q3442521.24
95-th percentile442951.28
Maximum443341.38
Range4318.2123
Interquartile range (IQR)636.39211

Descriptive statistics

Standard deviation604.24418
Coefficient of variation (CV)0.0013666066
Kurtosis2.7480125
Mean442149.33
Median Absolute Deviation (MAD)324.58257
Skewness-1.2469881
Sum1.5121507 × 108
Variance365111.03
MonotonicityNot monotonic
2024-04-30T04:29:02.496271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442093.82867483 4
 
1.0%
442657.963384481 4
 
1.0%
442520.978082295 4
 
1.0%
441947.303434083 4
 
1.0%
442274.001501917 3
 
0.7%
442599.332800685 3
 
0.7%
442420.790803094 3
 
0.7%
441561.748881086 3
 
0.7%
441409.104033729 3
 
0.7%
442079.837181122 3
 
0.7%
Other values (267) 308
73.5%
(Missing) 77
 
18.4%
ValueCountFrequency (%)
439023.167125842 1
0.2%
439898.027808319 1
0.2%
440200.571236291 1
0.2%
440258.728651692 1
0.2%
440387.800709838 1
0.2%
440552.494060067 1
0.2%
440585.721205396 1
0.2%
440609.726581823 1
0.2%
440636.932191455 1
0.2%
440663.562385011 1
0.2%
ValueCountFrequency (%)
443341.379446435 1
0.2%
443281.298598318 1
0.2%
443230.862786132 1
0.2%
443216.750634836 1
0.2%
443183.34691341 1
0.2%
443177.032539307 1
0.2%
443083.981892185 1
0.2%
443064.437566493 1
0.2%
443063.556217569 1
0.2%
443052.778816544 1
0.2%

영업내용
Text

MISSING 

Distinct115
Distinct (%)35.4%
Missing94
Missing (%)22.4%
Memory size3.4 KiB
2024-04-30T04:29:02.725496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length5
Mean length6.52
Min length1

Characters and Unicode

Total characters2119
Distinct characters130
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)28.9%

Sample

1st row제작설치업
2nd row간판, 현수막제작
3rd row옥외광고업
4th row옥외광고업
5th row옥외광고업
ValueCountFrequency (%)
옥외광고업 143
30.4%
및 27
 
5.7%
제작 24
 
5.1%
광고물 23
 
4.9%
설치 20
 
4.2%
간판 20
 
4.2%
업 14
 
3.0%
광고물제작 14
 
3.0%
간판제작 11
 
2.3%
옥외광고물제작 8
 
1.7%
Other values (112) 167
35.5%
2024-04-30T04:29:03.088571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 239
 
11.3%
고 236
 
11.1%
외 185
 
8.7%
옥 183
 
8.6%
업 173
 
8.2%
146
 
6.9%
제 107
 
5.0%
작 94
 
4.4%
물 74
 
3.5%
판 59
 
2.8%
Other values (120) 623
29.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1876
88.5%
Space Separator 146
 
6.9%
Other Punctuation 59
 
2.8%
Decimal Number 15
 
0.7%
Uppercase Letter 9
 
0.4%
Close Punctuation 7
 
0.3%
Open Punctuation 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 239
12.7%
고 236
12.6%
외 185
 
9.9%
옥 183
 
9.8%
업 173
 
9.2%
제 107
 
5.7%
작 94
 
5.0%
물 74
 
3.9%
판 59
 
3.1%
간 53
 
2.8%
Other values (102) 473
25.2%
Decimal Number
ValueCountFrequency (%)
0 5
33.3%
2 3
20.0%
1 2
 
13.3%
8 2
 
13.3%
6 1
 
6.7%
7 1
 
6.7%
3 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 51
86.4%
. 5
 
8.5%
: 1
 
1.7%
/ 1
 
1.7%
? 1
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
L 3
33.3%
E 3
33.3%
D 3
33.3%
Space Separator
ValueCountFrequency (%)
146
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1876
88.5%
Common 234
 
11.0%
Latin 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 239
12.7%
고 236
12.6%
외 185
 
9.9%
옥 183
 
9.8%
업 173
 
9.2%
제 107
 
5.7%
작 94
 
5.0%
물 74
 
3.9%
판 59
 
3.1%
간 53
 
2.8%
Other values (102) 473
25.2%
Common
ValueCountFrequency (%)
146
62.4%
, 51
 
21.8%
) 7
 
3.0%
( 7
 
3.0%
0 5
 
2.1%
. 5
 
2.1%
2 3
 
1.3%
1 2
 
0.9%
8 2
 
0.9%
: 1
 
0.4%
Other values (5) 5
 
2.1%
Latin
ValueCountFrequency (%)
L 3
33.3%
E 3
33.3%
D 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1837
86.7%
ASCII 243
 
11.5%
Compat Jamo 39
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 239
13.0%
고 236
12.8%
외 185
10.1%
옥 183
10.0%
업 173
 
9.4%
제 107
 
5.8%
작 94
 
5.1%
물 74
 
4.0%
판 59
 
3.2%
간 53
 
2.9%
Other values (94) 434
23.6%
ASCII
ValueCountFrequency (%)
146
60.1%
, 51
 
21.0%
) 7
 
2.9%
( 7
 
2.9%
0 5
 
2.1%
. 5
 
2.1%
L 3
 
1.2%
E 3
 
1.2%
D 3
 
1.2%
2 3
 
1.2%
Other values (8) 10
 
4.1%
Compat Jamo
ValueCountFrequency (%)
ㅓ 14
35.9%
ㅏ 8
20.5%
ㄹ 4
 
10.3%
ㅎ 4
 
10.3%
ㅗ 3
 
7.7%
ㅣ 2
 
5.1%
ㅇ 2
 
5.1%
ㅜ 2
 
5.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
03200000199932000840820028919990708<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-*서울특별시 관악구 은천로**길 ** (봉천동)<NA>금강기획2021-06-08 09:33:34U2021-06-10 02:40:00.0<NA>195396.107344442874.278631제작설치업
13200000199932000880820028419990315<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ***-**번지서울특별시 관악구 신림로 *** (신림동)<NA>연희광고2012-08-29 08:53:51I2018-08-31 23:59:59.0<NA>194274.335747441016.557625간판, 현수막제작
23200000200132000240820000119980720<NA>3폐업40폐업20100309<NA><NA><NA>02 8780105<NA><NA>서울특별시 관악구 봉천동 ***-**번지서울특별시 관악구 은천로 **-* (봉천동)<NA>개성기업사2010-03-17 17:33:23I2018-08-31 23:59:59.0<NA>195030.712739442759.389334옥외광고업
33200000200132000240820000219880720<NA>3폐업40폐업20160824<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-*번지서울특별시 관악구 봉천로 *** (봉천동)151050대성광고2016-08-26 14:56:42I2018-08-31 23:59:59.0<NA>195298.513599442303.376478옥외광고업
43200000200132000240820000320000221<NA>3폐업40폐업20050517<NA><NA><NA>02 8788230<NA><NA>서울특별시 관악구 신림동 ****-**번지서울특별시 관악구 봉천로 *** (신림동)<NA>삼정공사2000-02-21 00:00:00I2018-08-31 23:59:59.0<NA>193989.409882442741.189451옥외광고업
53200000200132000240820000419880708<NA>1영업/정상1<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-** 번지<NA><NA>태성기업1988-07-08 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>옥외광고업
63200000200132000240820000519880708<NA>3폐업40폐업19930610<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-**번지<NA><NA>청룡광고2011-11-01 15:46:54I2018-08-31 23:59:59.0<NA>194945.719725442195.970048옥외광고업
73200000200132000240820000619880708<NA>3폐업40폐업20041214<NA><NA><NA>02 8568497<NA><NA>서울특별시 관악구 신림동 ***번지<NA><NA>한일사1988-07-08 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>옥외광고업
83200000200132000240820000719990718<NA>3폐업40폐업20130627<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-**번지서울특별시 관악구 봉천로 *** (봉천동)<NA>미화사2013-06-28 17:55:31I2018-08-31 23:59:59.0<NA>195504.982872442277.408891옥외광고업
93200000200132000240820000820080117<NA>3폐업40폐업20080117<NA><NA><NA>02 8569816<NA><NA>서울특별시 관악구 신림동 ***-**번지서울특별시 관악구 난곡로 *** (신림동)<NA>남강사2008-01-17 15:59:44I2018-08-31 23:59:59.0<NA>192759.647509441154.136417옥외광고업
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
4093200000202132002490850000220200508<NA>3폐업40폐업20210609<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 **** 현대아파트 ***동 ****호서울특별시 관악구 관악로 ***, ***동 ****호 (봉천동, 현대아파트)08730처리기획2021-06-09 15:58:58U2021-06-11 02:40:00.0<NA>196257.833653443341.379446광고대행업
4103200000202132002490850000320210604<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-**서울특별시 관악구 은천로 *** (봉천동)08729현대디자인2021-06-08 09:13:01I2021-06-09 00:22:55.0<NA>195425.886211442737.570564옥외광고물 제작
4113200000202132002490850000420211207<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 남현동 ****-**서울특별시 관악구 남부순환로 ****-** (남현동)08806(주)에이비엘이2021-12-07 15:53:15I2021-12-09 00:22:52.0<NA>198248.942426441541.599784광고대행
4123200000202232002490850000120220714<NA>3폐업40폐업20220831<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 관악로 *, 서울대학교 **-*동 *층 (신림동)08826네온시티 주식회사2022-08-31 17:31:20U2021-12-09 00:02:00.0<NA>196510.43176440685.113044<NA>
4133200000202232002490850000220220721<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ****-**서울특별시 관악구 남부순환로 ****, *층 (신림동)08768빅로그 Big log2022-07-22 13:26:15I2021-12-06 22:04:00.0<NA>191218.505271441947.303434<NA>
414320000020233200249085000012023-03-29<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천로 *** (봉천동)08757우일애드2023-03-30 11:04:41I2022-12-04 22:06:00.0<NA>194593.736898442420.790803<NA>
415320000020233200249085000022007-07-23<NA>1영업/정상20정상<NA><NA><NA><NA>8590415<NA><NA>서울특별시 관악구 봉천동 ****-** 엔젤타운**차서울특별시 관악구 봉천로**다길 **, ***호 (봉천동, 엔젤타운**차)08718비전기획2023-11-16 21:14:47U2022-10-31 23:08:00.0<NA>194164.412285443052.778817<NA>
416320000020233200249085000032023-08-25<NA>1영업/정상10설립신청<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-**서울특별시 관악구 봉천로 ***, *층 (봉천동)08756남부광고인 협동조합2023-08-25 09:39:57U2022-12-07 22:07:00.0<NA>194277.353687442599.332801<NA>
417320000020233200249085000042023-08-25<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-**서울특별시 관악구 봉천로 ***, *층 (봉천동)08756남부광고인협동조합2023-08-24 16:57:48I2022-12-07 22:06:00.0<NA>194277.353687442599.332801<NA>
418320000020243200249085000012024-03-26<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ***-** 에버하우스서울특별시 관악구 남부순환로***길 **, *층 ***호 (신림동, 에버하우스)08765뉴서울광고인협동조합2024-03-26 16:03:11I2023-12-02 22:08:00.0<NA>191745.378734442138.435317<NA>