Overview

Dataset statistics

Number of variables26
Number of observations458
Missing cells3885
Missing cells (%)32.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory97.6 KiB
Average record size in memory218.3 B

Variable types

Categorical6
Numeric3
DateTime6
Unsupported5
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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-17827/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (63.0%)Imbalance
영업상태명 is highly imbalanced (63.0%)Imbalance
상세영업상태코드 is highly imbalanced (67.4%)Imbalance
상세영업상태명 is highly imbalanced (67.4%)Imbalance
인허가취소일자 has 458 (100.0%) missing valuesMissing
폐업일자 has 127 (27.7%) missing valuesMissing
휴업시작일자 has 451 (98.5%) missing valuesMissing
휴업종료일자 has 451 (98.5%) missing valuesMissing
재개업일자 has 458 (100.0%) missing valuesMissing
전화번호 has 65 (14.2%) missing valuesMissing
소재지면적 has 458 (100.0%) missing valuesMissing
소재지우편번호 has 458 (100.0%) missing valuesMissing
도로명주소 has 51 (11.1%) missing valuesMissing
도로명우편번호 has 350 (76.4%) missing valuesMissing
업태구분명 has 458 (100.0%) missing valuesMissing
좌표정보(X) has 28 (6.1%) missing valuesMissing
좌표정보(Y) has 28 (6.1%) missing valuesMissing
영업내용 has 42 (9.2%) 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 02:16:52.260594
Analysis finished2024-05-11 02:16:54.316545
Duration2.06 seconds
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
3000000
458 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 458
100.0%

Length

2024-05-11T02:16:54.687375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:55.034181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 458
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct458
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0037935 × 1018
Minimum1.9883 × 1018
Maximum2.0243 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-05-11T02:16:55.393034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9883 × 1018
5-th percentile1.9923 × 1018
Q11.9993 × 1018
median2.0033 × 1018
Q32.0073 × 1018
95-th percentile2.01945 × 1018
Maximum2.0243 × 1018
Range3.6000017 × 1016
Interquartile range (IQR)7.9999988 × 1015

Descriptive statistics

Standard deviation7.6026164 × 1015
Coefficient of variation (CV)0.0037941118
Kurtosis0.13202211
Mean2.0037935 × 1018
Median Absolute Deviation (MAD)4 × 1015
Skewness0.59430444
Sum-4.5997989 × 1018
Variance5.7799776 × 1031
MonotonicityStrictly increasing
2024-05-11T02:16:55.980864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1988300009308100025 1
 
0.2%
2006300008108200004 1
 
0.2%
2006300008108200002 1
 
0.2%
2006300008108200001 1
 
0.2%
2005300008108200023 1
 
0.2%
2005300008108200022 1
 
0.2%
2005300008108200021 1
 
0.2%
2005300008108200020 1
 
0.2%
2005300008108200019 1
 
0.2%
2005300008108200018 1
 
0.2%
Other values (448) 448
97.8%
ValueCountFrequency (%)
1988300009308100025 1
0.2%
1988300009308100055 1
0.2%
1988300009308100062 1
0.2%
1990300009308100094 1
0.2%
1992300009308100001 1
0.2%
1992300009308100002 1
0.2%
1992300009308100003 1
0.2%
1992300009308100005 1
0.2%
1992300009308100006 1
0.2%
1992300009308100008 1
0.2%
ValueCountFrequency (%)
2024300026208500001 1
0.2%
2023300022708500007 1
0.2%
2023300022708500006 1
0.2%
2023300022708500005 1
0.2%
2023300022708500004 1
0.2%
2023300022708500003 1
0.2%
2023300022708500002 1
0.2%
2023300022708500001 1
0.2%
2022300022708500001 1
0.2%
2022300019608500004 1
0.2%

인허가일자
Date

Distinct383
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum1988-07-14 00:00:00
Maximum2024-01-23 00:00:00
2024-05-11T02:16:56.582005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:16:57.176665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing458
Missing (%)100.0%
Memory size4.2 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
3
373 
1
82 
2
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 373
81.4%
1 82
 
17.9%
2 2
 
0.4%
4 1
 
0.2%

Length

2024-05-11T02:16:57.740990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:58.247168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 373
81.4%
1 82
 
17.9%
2 2
 
0.4%
4 1
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
폐업
373 
영업/정상
82 
휴업
 
2
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length2.5633188
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 373
81.4%
영업/정상 82
 
17.9%
휴업 2
 
0.4%
취소/말소/만료/정지/중지 1
 
0.2%

Length

2024-05-11T02:16:58.679411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:58.976131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 373
81.4%
영업/정상 82
 
17.9%
휴업 2
 
0.4%
취소/말소/만료/정지/중지 1
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
40
373 
20
81 
30
 
2
%
 
1
72
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
40 373
81.4%
20 81
 
17.7%
30 2
 
0.4%
% 1
 
0.2%
72 1
 
0.2%

Length

2024-05-11T02:16:59.318794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:16:59.724053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 373
81.4%
20 81
 
17.7%
30 2
 
0.4%
1
 
0.2%
72 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
폐업
373 
정상
81 
휴업
 
2
<NA>
 
1
신청취소(반려)
 
1

Length

Max length8
Median length2
Mean length2.0174672
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 373
81.4%
정상 81
 
17.7%
휴업 2
 
0.4%
<NA> 1
 
0.2%
신청취소(반려) 1
 
0.2%

Length

2024-05-11T02:17:00.089387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:17:00.448590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 373
81.4%
정상 81
 
17.7%
휴업 2
 
0.4%
na 1
 
0.2%
신청취소(반려 1
 
0.2%

폐업일자
Date

MISSING 

Distinct230
Distinct (%)69.5%
Missing127
Missing (%)27.7%
Memory size3.7 KiB
Minimum2000-12-31 00:00:00
Maximum2024-02-06 00:00:00
2024-05-11T02:17:00.839365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:17:01.276662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing451
Missing (%)98.5%
Memory size3.7 KiB
Minimum2009-12-01 00:00:00
Maximum2021-06-04 00:00:00
2024-05-11T02:17:01.643667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:17:02.156892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

휴업종료일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing451
Missing (%)98.5%
Memory size3.7 KiB
Minimum2010-03-31 00:00:00
Maximum2024-06-03 00:00:00
2024-05-11T02:17:02.679286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:17:03.263162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing458
Missing (%)100.0%
Memory size4.2 KiB

전화번호
Text

MISSING 

Distinct360
Distinct (%)91.6%
Missing65
Missing (%)14.2%
Memory size3.7 KiB
2024-05-11T02:17:03.788978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.264631
Min length2

Characters and Unicode

Total characters4034
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

Unique333 ?
Unique (%)84.7%

Sample

1st row02 7651070
2nd row027344 767
3rd row0274294666
4th row02 7346875
5th row027645 361
ValueCountFrequency (%)
02 268
38.0%
7353482 5
 
0.7%
7223042 3
 
0.4%
0222791974 3
 
0.4%
7222889 3
 
0.4%
733 3
 
0.4%
739 3
 
0.4%
7304691 2
 
0.3%
7647842 2
 
0.3%
0222773558 2
 
0.3%
Other values (387) 412
58.4%
2024-05-11T02:17:04.921719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 849
21.0%
0 645
16.0%
7 539
13.4%
371
9.2%
3 343
8.5%
4 271
 
6.7%
6 262
 
6.5%
1 225
 
5.6%
5 202
 
5.0%
8 172
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3663
90.8%
Space Separator 371
 
9.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 849
23.2%
0 645
17.6%
7 539
14.7%
3 343
9.4%
4 271
 
7.4%
6 262
 
7.2%
1 225
 
6.1%
5 202
 
5.5%
8 172
 
4.7%
9 155
 
4.2%
Space Separator
ValueCountFrequency (%)
371
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4034
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 849
21.0%
0 645
16.0%
7 539
13.4%
371
9.2%
3 343
8.5%
4 271
 
6.7%
6 262
 
6.5%
1 225
 
5.6%
5 202
 
5.0%
8 172
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4034
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 849
21.0%
0 645
16.0%
7 539
13.4%
371
9.2%
3 343
8.5%
4 271
 
6.7%
6 262
 
6.5%
1 225
 
5.6%
5 202
 
5.0%
8 172
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing458
Missing (%)100.0%
Memory size4.2 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing458
Missing (%)100.0%
Memory size4.2 KiB

지번주소
Text

Distinct335
Distinct (%)73.5%
Missing2
Missing (%)0.4%
Memory size3.7 KiB
2024-05-11T02:17:05.590177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length24.58114
Min length16

Characters and Unicode

Total characters11209
Distinct characters229
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

Unique281 ?
Unique (%)61.6%

Sample

1st row서울특별시 종로구 낙원동 ***번지
2nd row서울특별시 종로구 교북동 *-**번지
3rd row서울특별시 종로구 관수동 ***-*번지
4th row서울특별시 종로구 인사동 ***-*번지
5th row서울특별시 종로구 권농동 ***-*번지
ValueCountFrequency (%)
서울특별시 456
20.7%
종로구 454
20.6%
번지 383
17.4%
호 123
 
5.6%
관수동 84
 
3.8%
76
 
3.5%
층 61
 
2.8%
신문로*가 26
 
1.2%
종로*가 21
 
1.0%
숭인동 20
 
0.9%
Other values (215) 495
22.5%
2024-05-11T02:17:06.926406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2090
18.6%
* 2008
17.9%
로 526
 
4.7%
종 495
 
4.4%
시 464
 
4.1%
서 462
 
4.1%
별 457
 
4.1%
구 457
 
4.1%
울 457
 
4.1%
특 456
 
4.1%
Other values (219) 3337
29.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6760
60.3%
Space Separator 2090
 
18.6%
Other Punctuation 2013
 
18.0%
Dash Punctuation 280
 
2.5%
Decimal Number 21
 
0.2%
Open Punctuation 14
 
0.1%
Close Punctuation 14
 
0.1%
Uppercase Letter 11
 
0.1%
Lowercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 526
 
7.8%
종 495
 
7.3%
시 464
 
6.9%
서 462
 
6.8%
별 457
 
6.8%
구 457
 
6.8%
울 457
 
6.8%
특 456
 
6.7%
지 413
 
6.1%
동 404
 
6.0%
Other values (192) 2169
32.1%
Decimal Number
ValueCountFrequency (%)
4 4
19.0%
3 4
19.0%
7 3
14.3%
1 3
14.3%
2 3
14.3%
8 2
9.5%
5 1
 
4.8%
0 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 4
36.4%
A 2
18.2%
Y 1
 
9.1%
M 1
 
9.1%
C 1
 
9.1%
T 1
 
9.1%
D 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
r 1
25.0%
e 1
25.0%
w 1
25.0%
o 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 2008
99.8%
, 4
 
0.2%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2090
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 280
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6760
60.3%
Common 4434
39.6%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 526
 
7.8%
종 495
 
7.3%
시 464
 
6.9%
서 462
 
6.8%
별 457
 
6.8%
구 457
 
6.8%
울 457
 
6.8%
특 456
 
6.7%
지 413
 
6.1%
동 404
 
6.0%
Other values (192) 2169
32.1%
Common
ValueCountFrequency (%)
2090
47.1%
* 2008
45.3%
- 280
 
6.3%
( 14
 
0.3%
) 14
 
0.3%
4 4
 
0.1%
, 4
 
0.1%
3 4
 
0.1%
7 3
 
0.1%
1 3
 
0.1%
Other values (6) 10
 
0.2%
Latin
ValueCountFrequency (%)
B 4
26.7%
A 2
13.3%
Y 1
 
6.7%
M 1
 
6.7%
C 1
 
6.7%
r 1
 
6.7%
e 1
 
6.7%
w 1
 
6.7%
o 1
 
6.7%
T 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6760
60.3%
ASCII 4449
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2090
47.0%
* 2008
45.1%
- 280
 
6.3%
( 14
 
0.3%
) 14
 
0.3%
4 4
 
0.1%
, 4
 
0.1%
3 4
 
0.1%
B 4
 
0.1%
7 3
 
0.1%
Other values (17) 24
 
0.5%
Hangul
ValueCountFrequency (%)
로 526
 
7.8%
종 495
 
7.3%
시 464
 
6.9%
서 462
 
6.8%
별 457
 
6.8%
구 457
 
6.8%
울 457
 
6.8%
특 456
 
6.7%
지 413
 
6.1%
동 404
 
6.0%
Other values (192) 2169
32.1%

도로명주소
Text

MISSING 

Distinct342
Distinct (%)84.0%
Missing51
Missing (%)11.1%
Memory size3.7 KiB
2024-05-11T02:17:07.596085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length29.899263
Min length20

Characters and Unicode

Total characters12169
Distinct characters235
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

Unique302 ?
Unique (%)74.2%

Sample

1st row서울특별시 종로구 수표로 *** (낙원동)
2nd row서울특별시 종로구 통일로**길 *-** (교북동)
3rd row서울특별시 종로구 종로**길 ** (인사동)
4th row서울특별시 종로구 율곡로 *** (권농동)
5th row서울특별시 종로구 율곡로 *** (원남동)
ValueCountFrequency (%)
408
17.8%
서울특별시 407
17.7%
종로구 406
17.7%
호 119
 
5.2%
관수동 60
 
2.6%
층 48
 
2.1%
종로**길 40
 
1.7%
수표로**길 27
 
1.2%
수표로 26
 
1.1%
종로 17
 
0.7%
Other values (318) 735
32.1%
2024-05-11T02:17:08.896079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2105
17.3%
* 1819
14.9%
로 840
 
6.9%
종 523
 
4.3%
) 417
 
3.4%
( 417
 
3.4%
서 415
 
3.4%
시 415
 
3.4%
울 410
 
3.4%
구 408
 
3.4%
Other values (225) 4400
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7005
57.6%
Space Separator 2105
 
17.3%
Other Punctuation 2096
 
17.2%
Close Punctuation 417
 
3.4%
Open Punctuation 417
 
3.4%
Dash Punctuation 85
 
0.7%
Decimal Number 23
 
0.2%
Uppercase Letter 15
 
0.1%
Lowercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 840
 
12.0%
종 523
 
7.5%
서 415
 
5.9%
시 415
 
5.9%
울 410
 
5.9%
구 408
 
5.8%
별 408
 
5.8%
특 407
 
5.8%
동 377
 
5.4%
길 226
 
3.2%
Other values (196) 2576
36.8%
Uppercase Letter
ValueCountFrequency (%)
B 5
33.3%
A 3
20.0%
M 1
 
6.7%
T 1
 
6.7%
C 1
 
6.7%
D 1
 
6.7%
Y 1
 
6.7%
J 1
 
6.7%
H 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 6
26.1%
3 5
21.7%
2 3
13.0%
7 2
 
8.7%
6 2
 
8.7%
0 2
 
8.7%
4 2
 
8.7%
9 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
w 1
25.0%
e 1
25.0%
r 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 1819
86.8%
, 276
 
13.2%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 417
100.0%
Open Punctuation
ValueCountFrequency (%)
( 417
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7005
57.6%
Common 5145
42.3%
Latin 19
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 840
 
12.0%
종 523
 
7.5%
서 415
 
5.9%
시 415
 
5.9%
울 410
 
5.9%
구 408
 
5.8%
별 408
 
5.8%
특 407
 
5.8%
동 377
 
5.4%
길 226
 
3.2%
Other values (196) 2576
36.8%
Common
ValueCountFrequency (%)
2105
40.9%
* 1819
35.4%
) 417
 
8.1%
( 417
 
8.1%
, 276
 
5.4%
- 85
 
1.7%
1 6
 
0.1%
3 5
 
0.1%
2 3
 
0.1%
~ 2
 
< 0.1%
Other values (6) 10
 
0.2%
Latin
ValueCountFrequency (%)
B 5
26.3%
A 3
15.8%
M 1
 
5.3%
T 1
 
5.3%
o 1
 
5.3%
w 1
 
5.3%
e 1
 
5.3%
C 1
 
5.3%
D 1
 
5.3%
Y 1
 
5.3%
Other values (3) 3
15.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7005
57.6%
ASCII 5164
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2105
40.8%
* 1819
35.2%
) 417
 
8.1%
( 417
 
8.1%
, 276
 
5.3%
- 85
 
1.6%
1 6
 
0.1%
B 5
 
0.1%
3 5
 
0.1%
A 3
 
0.1%
Other values (19) 26
 
0.5%
Hangul
ValueCountFrequency (%)
로 840
 
12.0%
종 523
 
7.5%
서 415
 
5.9%
시 415
 
5.9%
울 410
 
5.9%
구 408
 
5.8%
별 408
 
5.8%
특 407
 
5.8%
동 377
 
5.4%
길 226
 
3.2%
Other values (196) 2576
36.8%

도로명우편번호
Text

MISSING 

Distinct70
Distinct (%)64.8%
Missing350
Missing (%)76.4%
Memory size3.7 KiB
2024-05-11T02:17:09.559058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2962963
Min length5

Characters and Unicode

Total characters572
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

Unique53 ?
Unique (%)49.1%

Sample

1st row110290
2nd row03109
3rd row110761
4th row03165
5th row03059
ValueCountFrequency (%)
03192 13
 
12.0%
110420 7
 
6.5%
03173 4
 
3.7%
03191 3
 
2.8%
03134 3
 
2.8%
03041 3
 
2.8%
03100 2
 
1.9%
03143 2
 
1.9%
03165 2
 
1.9%
03076 2
 
1.9%
Other values (60) 67
62.0%
2024-05-11T02:17:10.747638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 161
28.1%
1 140
24.5%
3 98
17.1%
2 40
 
7.0%
9 32
 
5.6%
4 31
 
5.4%
7 26
 
4.5%
6 15
 
2.6%
8 15
 
2.6%
5 13
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 571
99.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 161
28.2%
1 140
24.5%
3 98
17.2%
2 40
 
7.0%
9 32
 
5.6%
4 31
 
5.4%
7 26
 
4.6%
6 15
 
2.6%
8 15
 
2.6%
5 13
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 572
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 161
28.1%
1 140
24.5%
3 98
17.1%
2 40
 
7.0%
9 32
 
5.6%
4 31
 
5.4%
7 26
 
4.5%
6 15
 
2.6%
8 15
 
2.6%
5 13
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 572
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 161
28.1%
1 140
24.5%
3 98
17.1%
2 40
 
7.0%
9 32
 
5.6%
4 31
 
5.4%
7 26
 
4.5%
6 15
 
2.6%
8 15
 
2.6%
5 13
 
2.3%

사업장명
Text

Distinct418
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-05-11T02:17:11.564477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length5.8624454
Min length2

Characters and Unicode

Total characters2685
Distinct characters310
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

Unique387 ?
Unique (%)84.5%

Sample

1st row환희사
2nd row백인당
3rd row종합광고현대
4th row뉴라인사
5th row신신네온
ValueCountFrequency (%)
주식회사 11
 
2.2%
아원공방 5
 
1.0%
상미광고 4
 
0.8%
세종기획 4
 
0.8%
플래그라인 3
 
0.6%
주)컴넷코리아 3
 
0.6%
amr 2
 
0.4%
동아광고 2
 
0.4%
주)동아일보사 2
 
0.4%
범한광고 2
 
0.4%
Other values (434) 459
92.4%
2024-05-11T02:17:12.792742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 153
 
5.7%
) 145
 
5.4%
( 143
 
5.3%
기 106
 
3.9%
획 81
 
3.0%
사 71
 
2.6%
이 62
 
2.3%
드 60
 
2.2%
광 58
 
2.2%
스 57
 
2.1%
Other values (300) 1749
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2277
84.8%
Close Punctuation 145
 
5.4%
Open Punctuation 143
 
5.3%
Uppercase Letter 54
 
2.0%
Space Separator 39
 
1.5%
Lowercase Letter 22
 
0.8%
Dash Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 153
 
6.7%
기 106
 
4.7%
획 81
 
3.6%
사 71
 
3.1%
이 62
 
2.7%
드 60
 
2.6%
광 58
 
2.5%
스 57
 
2.5%
고 51
 
2.2%
아 47
 
2.1%
Other values (262) 1531
67.2%
Uppercase Letter
ValueCountFrequency (%)
M 7
13.0%
D 6
11.1%
A 6
11.1%
I 4
 
7.4%
R 3
 
5.6%
J 3
 
5.6%
T 3
 
5.6%
K 3
 
5.6%
N 3
 
5.6%
S 3
 
5.6%
Other values (9) 13
24.1%
Lowercase Letter
ValueCountFrequency (%)
o 5
22.7%
c 3
13.6%
n 2
 
9.1%
a 2
 
9.1%
e 2
 
9.1%
b 2
 
9.1%
s 1
 
4.5%
x 1
 
4.5%
y 1
 
4.5%
m 1
 
4.5%
Other values (2) 2
 
9.1%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
/ 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 145
100.0%
Open Punctuation
ValueCountFrequency (%)
( 143
100.0%
Space Separator
ValueCountFrequency (%)
39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2277
84.8%
Common 332
 
12.4%
Latin 76
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 153
 
6.7%
기 106
 
4.7%
획 81
 
3.6%
사 71
 
3.1%
이 62
 
2.7%
드 60
 
2.6%
광 58
 
2.5%
스 57
 
2.5%
고 51
 
2.2%
아 47
 
2.1%
Other values (262) 1531
67.2%
Latin
ValueCountFrequency (%)
M 7
 
9.2%
D 6
 
7.9%
A 6
 
7.9%
o 5
 
6.6%
I 4
 
5.3%
R 3
 
3.9%
J 3
 
3.9%
c 3
 
3.9%
T 3
 
3.9%
K 3
 
3.9%
Other values (21) 33
43.4%
Common
ValueCountFrequency (%)
) 145
43.7%
( 143
43.1%
39
 
11.7%
- 2
 
0.6%
& 1
 
0.3%
/ 1
 
0.3%
+ 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2277
84.8%
ASCII 408
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 153
 
6.7%
기 106
 
4.7%
획 81
 
3.6%
사 71
 
3.1%
이 62
 
2.7%
드 60
 
2.6%
광 58
 
2.5%
스 57
 
2.5%
고 51
 
2.2%
아 47
 
2.1%
Other values (262) 1531
67.2%
ASCII
ValueCountFrequency (%)
) 145
35.5%
( 143
35.0%
39
 
9.6%
M 7
 
1.7%
D 6
 
1.5%
A 6
 
1.5%
o 5
 
1.2%
I 4
 
1.0%
R 3
 
0.7%
J 3
 
0.7%
Other values (28) 47
 
11.5%

최종수정일자
Date

Distinct457
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum1992-04-20 00:00:00
Maximum2024-04-25 20:45:02
2024-05-11T02:17:13.308069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:17:13.760577image/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
355 
U
103 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 355
77.5%
U 103
 
22.5%

Length

2024-05-11T02:17:14.125237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:17:14.523945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 355
77.5%
u 103
 
22.5%

데이터갱신일자
Date

Distinct84
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:07:00
2024-05-11T02:17:15.182359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:17:15.810470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing458
Missing (%)100.0%
Memory size4.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct308
Distinct (%)71.6%
Missing28
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean198773.61
Minimum196079.54
Maximum201960.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-05-11T02:17:16.505060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196079.54
5-th percentile196796.39
Q1197652.31
median198982.18
Q3199200.7
95-th percentile201203.95
Maximum201960.95
Range5881.4072
Interquartile range (IQR)1548.3843

Descriptive statistics

Standard deviation1247.1902
Coefficient of variation (CV)0.0062744256
Kurtosis0.07924046
Mean198773.61
Median Absolute Deviation (MAD)802.89692
Skewness0.34767267
Sum85472653
Variance1555483.5
MonotonicityNot monotonic
2024-05-11T02:17:17.003125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198991.002784609 8
 
1.7%
197531.992140587 8
 
1.7%
198913.496136105 6
 
1.3%
197541.418168655 5
 
1.1%
199196.995623221 5
 
1.1%
197567.747824202 5
 
1.1%
197957.241673444 5
 
1.1%
197607.398336321 4
 
0.9%
199053.409026826 4
 
0.9%
199166.413216979 4
 
0.9%
Other values (298) 376
82.1%
(Missing) 28
 
6.1%
ValueCountFrequency (%)
196079.544115659 2
0.4%
196092.743907822 1
0.2%
196107.532335929 1
0.2%
196112.95679095 1
0.2%
196207.207756104 1
0.2%
196270.356236082 1
0.2%
196304.556463811 1
0.2%
196441.418666667 1
0.2%
196481.859286015 1
0.2%
196559.568468364 1
0.2%
ValueCountFrequency (%)
201960.951300031 1
 
0.2%
201959.105342884 1
 
0.2%
201908.102083278 3
0.7%
201902.807079609 2
0.4%
201888.008721996 1
 
0.2%
201882.733697042 1
 
0.2%
201876.354761613 1
 
0.2%
201874.482672754 1
 
0.2%
201846.974485269 1
 
0.2%
201689.6897513 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct308
Distinct (%)71.6%
Missing28
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean452449.03
Minimum450919.87
Maximum456959.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2024-05-11T02:17:17.835351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450919.87
5-th percentile451825.75
Q1451926.32
median452253.61
Q3452574.42
95-th percentile453880.62
Maximum456959.39
Range6039.5204
Interquartile range (IQR)648.09164

Descriptive statistics

Standard deviation817.8246
Coefficient of variation (CV)0.0018075508
Kurtosis10.539512
Mean452449.03
Median Absolute Deviation (MAD)323.74893
Skewness2.9042603
Sum1.9455308 × 108
Variance668837.08
MonotonicityNot monotonic
2024-05-11T02:17:18.479593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451828.222399025 8
 
1.7%
452997.836066638 8
 
1.7%
452416.170780139 6
 
1.3%
452115.300046799 5
 
1.1%
451834.453299652 5
 
1.1%
452347.973860449 5
 
1.1%
451918.372060065 5
 
1.1%
452120.026024435 4
 
0.9%
451905.984313943 4
 
0.9%
451901.463244472 4
 
0.9%
Other values (298) 376
82.1%
(Missing) 28
 
6.1%
ValueCountFrequency (%)
450919.874344114 1
 
0.2%
451653.730410822 1
 
0.2%
451682.368379486 1
 
0.2%
451798.274459999 3
0.7%
451804.252101066 1
 
0.2%
451809.245845455 2
0.4%
451810.17126569 1
 
0.2%
451810.647699719 2
0.4%
451812.244811783 2
0.4%
451815.640738453 1
 
0.2%
ValueCountFrequency (%)
456959.394769649 3
0.7%
456315.957710484 1
 
0.2%
456198.595931715 1
 
0.2%
455898.881603202 1
 
0.2%
455860.157008985 1
 
0.2%
455820.451681163 1
 
0.2%
455439.168492835 1
 
0.2%
455358.116497827 1
 
0.2%
455330.689123978 1
 
0.2%
455231.083272942 1
 
0.2%

영업내용
Text

MISSING 

Distinct134
Distinct (%)32.2%
Missing42
Missing (%)9.2%
Memory size3.7 KiB
2024-05-11T02:17:19.426553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length29
Mean length8.4567308
Min length2

Characters and Unicode

Total characters3518
Distinct characters120
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)24.3%

Sample

1st row옥외광고물제작
2nd row옥외광고물제작
3rd row옥외광고물제작
4th row옥외광고물제작
5th row옥외광고물제작
ValueCountFrequency (%)
옥외광고물제작 144
19.0%
제작 88
11.6%
및 53
 
7.0%
옥외광고물 49
 
6.5%
광고물제작 49
 
6.5%
광고물 46
 
6.1%
광고대행 39
 
5.2%
대행 37
 
4.9%
24
 
3.2%
간판 15
 
2.0%
Other values (121) 213
28.1%
2024-05-11T02:17:20.697560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 423
12.0%
고 421
12.0%
341
9.7%
물 335
9.5%
제 331
9.4%
작 319
9.1%
외 252
7.2%
옥 248
 
7.0%
행 111
 
3.2%
대 110
 
3.1%
Other values (110) 627
17.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3088
87.8%
Space Separator 341
 
9.7%
Other Punctuation 84
 
2.4%
Uppercase Letter 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 423
13.7%
고 421
13.6%
물 335
10.8%
제 331
10.7%
작 319
10.3%
외 252
8.2%
옥 248
8.0%
행 111
 
3.6%
대 110
 
3.6%
및 69
 
2.2%
Other values (101) 469
15.2%
Other Punctuation
ValueCountFrequency (%)
, 81
96.4%
. 2
 
2.4%
/ 1
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
E 1
33.3%
L 1
33.3%
Space Separator
ValueCountFrequency (%)
341
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3088
87.8%
Common 427
 
12.1%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 423
13.7%
고 421
13.6%
물 335
10.8%
제 331
10.7%
작 319
10.3%
외 252
8.2%
옥 248
8.0%
행 111
 
3.6%
대 110
 
3.6%
및 69
 
2.2%
Other values (101) 469
15.2%
Common
ValueCountFrequency (%)
341
79.9%
, 81
 
19.0%
. 2
 
0.5%
/ 1
 
0.2%
( 1
 
0.2%
) 1
 
0.2%
Latin
ValueCountFrequency (%)
D 1
33.3%
E 1
33.3%
L 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3088
87.8%
ASCII 430
 
12.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 423
13.7%
고 421
13.6%
물 335
10.8%
제 331
10.7%
작 319
10.3%
외 252
8.2%
옥 248
8.0%
행 111
 
3.6%
대 110
 
3.6%
및 69
 
2.2%
Other values (101) 469
15.2%
ASCII
ValueCountFrequency (%)
341
79.3%
, 81
 
18.8%
. 2
 
0.5%
/ 1
 
0.2%
( 1
 
0.2%
) 1
 
0.2%
D 1
 
0.2%
E 1
 
0.2%
L 1
 
0.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
03000000198830000930810002519880714<NA>3폐업40폐업20150107<NA><NA><NA>02 7651070<NA><NA>서울특별시 종로구 낙원동 ***번지서울특별시 종로구 수표로 *** (낙원동)<NA>환희사2015-01-12 13:24:06I2018-08-31 23:59:59.0<NA>198977.287461452187.211223옥외광고물제작
13000000198830000930810005519880805<NA>3폐업40폐업20091222<NA><NA><NA>027344 767<NA><NA>서울특별시 종로구 교북동 *-**번지서울특별시 종로구 통일로**길 *-** (교북동)<NA>백인당2009-12-22 14:51:00I2018-08-31 23:59:59.0<NA>196441.418667452265.828333옥외광고물제작
23000000198830000930810006219881110<NA>3폐업40폐업20091222<NA><NA><NA>0274294666<NA><NA>서울특별시 종로구 관수동 ***-*번지<NA><NA>종합광고현대2009-12-22 14:52:43I2018-08-31 23:59:59.0<NA>199042.724121451834.553171옥외광고물제작
33000000199030000930810009419900108<NA>3폐업40폐업<NA><NA><NA><NA>02 7346875<NA><NA>서울특별시 종로구 인사동 ***-*번지서울특별시 종로구 종로**길 ** (인사동)110290뉴라인사2014-07-01 15:27:57I2018-08-31 23:59:59.0<NA>198654.731122452147.925936옥외광고물제작
43000000199230000930810000119920420<NA>3폐업40폐업20091119<NA><NA><NA>027645 361<NA><NA>서울특별시 종로구 권농동 ***-*번지서울특별시 종로구 율곡로 *** (권농동)<NA>신신네온2009-11-19 13:59:41I2018-08-31 23:59:59.0<NA>199135.509607452779.29515옥외광고물제작
53000000199230000930810000219920420<NA>3폐업40폐업20030829<NA><NA><NA>02 7453888<NA><NA>서울특별시 종로구 원남동 ***-*번지서울특별시 종로구 율곡로 *** (원남동)<NA>(주)한맥기업2009-09-29 18:11:09I2018-08-31 23:59:59.0<NA>199566.757867452640.216145옥외광고물제작
6300000019923000093081000031992-04-20<NA>3폐업40폐업2023-07-12<NA><NA><NA>02 745 2364<NA><NA>서울특별시 종로구 창신동 ***-*서울특별시 종로구 종로**길 * (창신동)<NA>주신종합광고2023-07-12 09:26:38U2022-12-06 23:04:00.0<NA>201023.908041452169.573586<NA>
73000000199230000930810000519920420<NA>1영업/정상20정상<NA><NA><NA><NA>02 7423360<NA><NA>서울특별시 종로구 숭인동 **-** 지하*층서울특별시 종로구 지봉로*길 **, 지하*층 (숭인동)03109미래광고2020-07-15 14:33:57U2020-07-17 02:40:00.0<NA>201392.421352452685.648136옥외광고물제작
83000000199230000930810000619920420<NA>3폐업40폐업20091222<NA><NA><NA>02921 0001<NA><NA>서울특별시 종로구 숭인동 ****번지서울특별시 종로구 보문로 ** (숭인동)<NA>힘찬손2009-12-22 15:03:32I2018-08-31 23:59:59.0<NA>201959.105343452778.248093옥외광고물제작
93000000199230000930810000819920420<NA>3폐업40폐업20091222<NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 ***-**번지서울특별시 종로구 창신길 * (창신동)<NA>칠칠공사2009-12-22 15:13:16I2018-08-31 23:59:59.0<NA>200845.735908452206.127098옥외광고물제작
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
4483000000202230001960850000420220715<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 경운동 ** **층서울특별시 종로구 삼일대로 ***, 수운회관 **층 (경운동)03147삼아씨디에스 유한회사2022-07-15 17:05:06I2021-12-06 23:07:00.0<NA>198691.799419452546.547645<NA>
449300000020223000227085000012022-10-14<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 수송동 *** 연합뉴스빌딩서울특별시 종로구 율곡로*길 **, 연합뉴스빌딩 *층 (수송동)03143(주)그로스스텔라2023-08-04 13:14:26U2022-12-08 00:06:00.0<NA>198207.000041452455.833165<NA>
450300000020233000227085000012023-01-04<NA>1영업/정상20정상<NA><NA><NA><NA>02 700 0831<NA><NA>서울특별시 종로구 청진동 *** Tower *서울특별시 종로구 종로*길 *, Tower * (청진동)03157씨제이대한통운(주)2024-04-25 20:45:02U2023-12-03 22:07:00.0<NA>198213.955223452045.296743<NA>
4513000000202330002270850000220230113<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 관수동 *** ***호서울특별시 종로구 수표로**길 **, 둘로스빌딩 ***호 (관수동)03192동아광고2023-01-13 13:24:29I2022-11-30 23:05:00.0<NA>199109.854791451880.351644<NA>
452300000020233000227085000032023-04-26<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로*길 **, 더케이트윈타워 A동 *층 (중학동)03142브라이트에너지파트너스 주식회사2023-05-02 09:57:08I2022-12-04 22:06:00.0<NA>198101.593329452496.3621<NA>
453300000020233000227085000042023-07-17<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 부암동 ***-**서울특별시 종로구 자하문로 ***, *층 (부암동)03020유앤미I/D(YnM)2023-07-19 18:11:34I2022-12-06 22:01:00.0<NA>196748.13425454960.560461<NA>
454300000020233000227085000052023-08-31<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로*가 * 교보생명빌딩서울특별시 종로구 종로 *, 교보생명빌딩 **층 (종로*가)03154(주)에스비에스엠엔씨2023-09-07 09:15:24I2022-12-09 00:09:00.0<NA>197993.904628452032.958591<NA>
455300000020233000227085000062023-09-27<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 통의동 **-** 다모여빌딩서울특별시 종로구 효자로 **, 다모여빌딩 *층 (통의동)03044주식회사 파파모빌리티2023-09-27 15:34:13I2022-12-08 22:09:00.0<NA>197617.250943452770.544082<NA>
456300000020233000227085000072023-10-31<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 신문로*가 *-* *층서울특별시 종로구 새문안로 ***-*, *층 (신문로*가)03183(주)멀티소프트2023-10-31 11:21:15I2022-11-01 00:02:00.0<NA>197826.356739452021.760314<NA>
457300000020243000262085000012024-01-23<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 삼청동 **-**서울특별시 종로구 삼청로 **-* (삼청동)03053주식회사 디자인실버피쉬2024-01-24 11:23:07I2023-11-30 22:06:00.0<NA>198351.880272453446.171716<NA>