Overview

Dataset statistics

Number of variables26
Number of observations430
Missing cells3170
Missing cells (%)28.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory92.9 KiB
Average record size in memory221.3 B

Variable types

Categorical7
Numeric4
DateTime4
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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-17833/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (53.6%)Imbalance
영업상태명 is highly imbalanced (53.6%)Imbalance
상세영업상태코드 is highly imbalanced (59.2%)Imbalance
상세영업상태명 is highly imbalanced (59.2%)Imbalance
휴업종료일자 is highly imbalanced (94.7%)Imbalance
인허가취소일자 has 430 (100.0%) missing valuesMissing
폐업일자 has 114 (26.5%) missing valuesMissing
휴업시작일자 has 424 (98.6%) missing valuesMissing
재개업일자 has 430 (100.0%) missing valuesMissing
전화번호 has 82 (19.1%) missing valuesMissing
소재지면적 has 430 (100.0%) missing valuesMissing
소재지우편번호 has 430 (100.0%) missing valuesMissing
도로명주소 has 16 (3.7%) missing valuesMissing
도로명우편번호 has 307 (71.4%) missing valuesMissing
업태구분명 has 430 (100.0%) missing valuesMissing
좌표정보(X) has 15 (3.5%) missing valuesMissing
좌표정보(Y) has 15 (3.5%) missing valuesMissing
영업내용 has 46 (10.7%) 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 08:07:21.570641
Analysis finished2024-05-11 08:07:22.957721
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
3060000
430 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 430
100.0%

Length

2024-05-11T08:07:23.213382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:07:23.600058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 430
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct430
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.004013 × 1018
Minimum1.988306 × 1018
Maximum2.024306 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-11T08:07:24.030133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.988306 × 1018
5-th percentile1.988306 × 1018
Q11.998306 × 1018
median2.003306 × 1018
Q32.009306 × 1018
95-th percentile2.021306 × 1018
Maximum2.024306 × 1018
Range3.6000008 × 1016
Interquartile range (IQR)1.1000001 × 1016

Descriptive statistics

Standard deviation9.0070026 × 1015
Coefficient of variation (CV)0.0044944832
Kurtosis-0.44680854
Mean2.004013 × 1018
Median Absolute Deviation (MAD)6 × 1015
Skewness0.41265324
Sum-5.2713863 × 1018
Variance8.1126096 × 1031
MonotonicityStrictly increasing
2024-05-11T08:07:24.513226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1988306010808500001 1
 
0.2%
2007306010808500004 1
 
0.2%
2007306010808500002 1
 
0.2%
2007306010808500001 1
 
0.2%
2006306010808500407 1
 
0.2%
2006306010808500406 1
 
0.2%
2006306010808500405 1
 
0.2%
2006306010808500404 1
 
0.2%
2006306010808500403 1
 
0.2%
2006306010808500402 1
 
0.2%
Other values (420) 420
97.7%
ValueCountFrequency (%)
1988306010808500001 1
0.2%
1988306010808500002 1
0.2%
1988306010808500004 1
0.2%
1988306010808500006 1
0.2%
1988306010808500007 1
0.2%
1988306010808500009 1
0.2%
1988306010808500013 1
0.2%
1988306010808500016 1
0.2%
1988306010808500019 1
0.2%
1988306010808500023 1
0.2%
ValueCountFrequency (%)
2024306019208500002 1
0.2%
2024306019208500001 1
0.2%
2023306019208500011 1
0.2%
2023306019208500010 1
0.2%
2023306019208500009 1
0.2%
2023306019208500008 1
0.2%
2023306019208500007 1
0.2%
2023306019208500006 1
0.2%
2023306019208500005 1
0.2%
2023306019208500004 1
0.2%

인허가일자
Date

Distinct356
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum1988-07-04 00:00:00
Maximum2024-04-15 00:00:00
2024-05-11T08:07:25.038489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:07:25.654435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing430
Missing (%)100.0%
Memory size3.9 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
3
322 
1
100 
2
 
4
4
 
4

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 (%)
3 322
74.9%
1 100
 
23.3%
2 4
 
0.9%
4 4
 
0.9%

Length

2024-05-11T08:07:26.142166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:07:26.502144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 322
74.9%
1 100
 
23.3%
2 4
 
0.9%
4 4
 
0.9%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
폐업
322 
영업/정상
100 
휴업
 
4
취소/말소/만료/정지/중지
 
4

Length

Max length14
Median length2
Mean length2.8093023
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 322
74.9%
영업/정상 100
 
23.3%
휴업 4
 
0.9%
취소/말소/만료/정지/중지 4
 
0.9%

Length

2024-05-11T08:07:26.862253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:07:27.273309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 322
74.9%
영업/정상 100
 
23.3%
휴업 4
 
0.9%
취소/말소/만료/정지/중지 4
 
0.9%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
40
322 
20
99 
30
 
4
70
 
4
90
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
40 322
74.9%
20 99
 
23.0%
30 4
 
0.9%
70 4
 
0.9%
90 1
 
0.2%

Length

2024-05-11T08:07:27.740677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:07:28.146249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 322
74.9%
20 99
 
23.0%
30 4
 
0.9%
70 4
 
0.9%
90 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
폐업
322 
정상
99 
휴업
 
4
취소
 
4
등록신청
 
1

Length

Max length4
Median length2
Mean length2.0046512
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 322
74.9%
정상 99
 
23.0%
휴업 4
 
0.9%
취소 4
 
0.9%
등록신청 1
 
0.2%

Length

2024-05-11T08:07:28.601730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:07:28.987767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 322
74.9%
정상 99
 
23.0%
휴업 4
 
0.9%
취소 4
 
0.9%
등록신청 1
 
0.2%

폐업일자
Date

MISSING 

Distinct201
Distinct (%)63.6%
Missing114
Missing (%)26.5%
Memory size3.5 KiB
Minimum1998-07-14 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T08:07:29.490554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:07:29.986959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing424
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean20105728
Minimum20020725
Maximum20180111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-11T08:07:30.366165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020725
5-th percentile20025745
Q120050780
median20115762
Q320158606
95-th percentile20175384
Maximum20180111
Range159386
Interquartile range (IQR)107826.5

Descriptive statistics

Standard deviation67394.51
Coefficient of variation (CV)0.0033520055
Kurtosis-2.3620788
Mean20105728
Median Absolute Deviation (MAD)54895
Skewness-0.22496659
Sum1.2063437 × 108
Variance4.54202 × 109
MonotonicityNot monotonic
2024-05-11T08:07:30.804885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20040805 1
 
0.2%
20080704 1
 
0.2%
20150819 1
 
0.2%
20020725 1
 
0.2%
20161202 1
 
0.2%
20180111 1
 
0.2%
(Missing) 424
98.6%
ValueCountFrequency (%)
20020725 1
0.2%
20040805 1
0.2%
20080704 1
0.2%
20150819 1
0.2%
20161202 1
0.2%
20180111 1
0.2%
ValueCountFrequency (%)
20180111 1
0.2%
20161202 1
0.2%
20150819 1
0.2%
20080704 1
0.2%
20040805 1
0.2%
20020725 1
0.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
424 
20181231
 
2
20041231
 
1
20090703
 
1
20200819
 
1

Length

Max length8
Median length4
Mean length4.055814
Min length4

Unique

Unique4 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 424
98.6%
20181231 2
 
0.5%
20041231 1
 
0.2%
20090703 1
 
0.2%
20200819 1
 
0.2%
20030725 1
 
0.2%

Length

2024-05-11T08:07:31.409488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:07:31.926148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 424
98.6%
20181231 2
 
0.5%
20041231 1
 
0.2%
20090703 1
 
0.2%
20200819 1
 
0.2%
20030725 1
 
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing430
Missing (%)100.0%
Memory size3.9 KiB

전화번호
Text

MISSING 

Distinct305
Distinct (%)87.6%
Missing82
Missing (%)19.1%
Memory size3.5 KiB
2024-05-11T08:07:32.750806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.396552
Min length7

Characters and Unicode

Total characters3966
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique297 ?
Unique (%)85.3%

Sample

1st row02 4942345
2nd row02 4358248
3rd row02 000 0000
4th row02 4342715
5th row02 4334258
ValueCountFrequency (%)
02 320
37.8%
0000 37
 
4.4%
000 37
 
4.4%
439 12
 
1.4%
495 11
 
1.3%
492 10
 
1.2%
436 10
 
1.2%
433 10
 
1.2%
2209 9
 
1.1%
434 8
 
0.9%
Other values (339) 382
45.2%
2024-05-11T08:07:34.249537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 815
20.5%
751
18.9%
2 594
15.0%
4 392
9.9%
3 281
 
7.1%
9 253
 
6.4%
7 216
 
5.4%
5 185
 
4.7%
1 171
 
4.3%
6 169
 
4.3%
Other values (2) 139
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3213
81.0%
Space Separator 751
 
18.9%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 815
25.4%
2 594
18.5%
4 392
12.2%
3 281
 
8.7%
9 253
 
7.9%
7 216
 
6.7%
5 185
 
5.8%
1 171
 
5.3%
6 169
 
5.3%
8 137
 
4.3%
Space Separator
ValueCountFrequency (%)
751
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3966
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 815
20.5%
751
18.9%
2 594
15.0%
4 392
9.9%
3 281
 
7.1%
9 253
 
6.4%
7 216
 
5.4%
5 185
 
4.7%
1 171
 
4.3%
6 169
 
4.3%
Other values (2) 139
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3966
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 815
20.5%
751
18.9%
2 594
15.0%
4 392
9.9%
3 281
 
7.1%
9 253
 
6.4%
7 216
 
5.4%
5 185
 
4.7%
1 171
 
4.3%
6 169
 
4.3%
Other values (2) 139
 
3.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing430
Missing (%)100.0%
Memory size3.9 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing430
Missing (%)100.0%
Memory size3.9 KiB

지번주소
Text

Distinct145
Distinct (%)33.8%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
2024-05-11T08:07:34.902337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length25.850816
Min length14

Characters and Unicode

Total characters11090
Distinct characters128
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

Unique94 ?
Unique (%)21.9%

Sample

1st row서울특별시 중랑구 상봉동 ***
2nd row서울특별시 중랑구 중화동 ***-**번지
3rd row서울특별시 중랑구 상봉동 ***-**번지 *통*반 *
4th row서울특별시 중랑구 면목동 ***-**번지
5th row서울특별시 중랑구 망우동 ***-**번지
ValueCountFrequency (%)
서울특별시 429
19.8%
중랑구 424
19.6%
번지 344
15.9%
245
11.3%
통*반 171
 
7.9%
면목동 158
 
7.3%
망우동 84
 
3.9%
상봉동 58
 
2.7%
묵동 48
 
2.2%
중화동 43
 
2.0%
Other values (52) 161
 
7.4%
2024-05-11T08:07:36.023530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2588
23.3%
2099
18.9%
중 468
 
4.2%
동 448
 
4.0%
시 433
 
3.9%
서 429
 
3.9%
특 429
 
3.9%
별 429
 
3.9%
구 429
 
3.9%
울 429
 
3.9%
Other values (118) 2909
26.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5952
53.7%
Other Punctuation 2590
23.4%
Space Separator 2099
 
18.9%
Dash Punctuation 419
 
3.8%
Lowercase Letter 12
 
0.1%
Uppercase Letter 12
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 468
 
7.9%
동 448
 
7.5%
시 433
 
7.3%
서 429
 
7.2%
특 429
 
7.2%
별 429
 
7.2%
구 429
 
7.2%
울 429
 
7.2%
랑 424
 
7.1%
지 351
 
5.9%
Other values (100) 1683
28.3%
Uppercase Letter
ValueCountFrequency (%)
A 3
25.0%
B 2
16.7%
S 2
16.7%
K 2
16.7%
V 2
16.7%
R 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
33.3%
t 2
16.7%
c 2
16.7%
n 2
16.7%
r 2
16.7%
Other Punctuation
ValueCountFrequency (%)
* 2588
99.9%
. 1
 
< 0.1%
, 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2099
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 419
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5952
53.7%
Common 5114
46.1%
Latin 24
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 468
 
7.9%
동 448
 
7.5%
시 433
 
7.3%
서 429
 
7.2%
특 429
 
7.2%
별 429
 
7.2%
구 429
 
7.2%
울 429
 
7.2%
랑 424
 
7.1%
지 351
 
5.9%
Other values (100) 1683
28.3%
Latin
ValueCountFrequency (%)
e 4
16.7%
A 3
12.5%
B 2
8.3%
t 2
8.3%
S 2
8.3%
K 2
8.3%
c 2
8.3%
n 2
8.3%
V 2
8.3%
r 2
8.3%
Common
ValueCountFrequency (%)
* 2588
50.6%
2099
41.0%
- 419
 
8.2%
( 3
 
0.1%
) 3
 
0.1%
. 1
 
< 0.1%
, 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5952
53.7%
ASCII 5138
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2588
50.4%
2099
40.9%
- 419
 
8.2%
e 4
 
0.1%
( 3
 
0.1%
) 3
 
0.1%
A 3
 
0.1%
B 2
 
< 0.1%
t 2
 
< 0.1%
S 2
 
< 0.1%
Other values (8) 13
 
0.3%
Hangul
ValueCountFrequency (%)
중 468
 
7.9%
동 448
 
7.5%
시 433
 
7.3%
서 429
 
7.2%
특 429
 
7.2%
별 429
 
7.2%
구 429
 
7.2%
울 429
 
7.2%
랑 424
 
7.1%
지 351
 
5.9%
Other values (100) 1683
28.3%

도로명주소
Text

MISSING 

Distinct266
Distinct (%)64.3%
Missing16
Missing (%)3.7%
Memory size3.5 KiB
2024-05-11T08:07:36.594385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length49
Mean length27.71256
Min length21

Characters and Unicode

Total characters11473
Distinct characters151
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

Unique192 ?
Unique (%)46.4%

Sample

1st row서울특별시 중랑구 면목로 *** (상봉동)
2nd row서울특별시 중랑구 동일로 *** (중화동)
3rd row서울특별시 중랑구 동일로 *** (상봉동,*)
4th row서울특별시 중랑구 중랑천로 ** (면목동)
5th row서울특별시 중랑구 망우로 *** (망우동)
ValueCountFrequency (%)
415
18.7%
서울특별시 414
18.6%
중랑구 410
18.4%
면목동 148
 
6.7%
망우동 80
 
3.6%
상봉동 48
 
2.2%
묵동 42
 
1.9%
동일로 40
 
1.8%
호 39
 
1.8%
중화동 38
 
1.7%
Other values (113) 549
24.7%
2024-05-11T08:07:37.857892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2010
17.5%
* 1793
15.6%
동 512
 
4.5%
중 499
 
4.3%
랑 453
 
3.9%
시 421
 
3.7%
) 417
 
3.6%
( 417
 
3.6%
울 414
 
3.6%
서 414
 
3.6%
Other values (141) 4123
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6472
56.4%
Other Punctuation 2054
 
17.9%
Space Separator 2010
 
17.5%
Close Punctuation 417
 
3.6%
Open Punctuation 417
 
3.6%
Dash Punctuation 46
 
0.4%
Uppercase Letter 29
 
0.3%
Lowercase Letter 28
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 512
 
7.9%
중 499
 
7.7%
랑 453
 
7.0%
시 421
 
6.5%
울 414
 
6.4%
서 414
 
6.4%
구 414
 
6.4%
별 414
 
6.4%
특 414
 
6.4%
로 411
 
6.4%
Other values (122) 2106
32.5%
Uppercase Letter
ValueCountFrequency (%)
A 7
24.1%
V 5
17.2%
S 5
17.2%
K 5
17.2%
B 4
13.8%
C 2
 
6.9%
R 1
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
e 10
35.7%
r 5
17.9%
t 5
17.9%
n 5
17.9%
c 3
 
10.7%
Other Punctuation
ValueCountFrequency (%)
* 1793
87.3%
, 260
 
12.7%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2010
100.0%
Close Punctuation
ValueCountFrequency (%)
) 417
100.0%
Open Punctuation
ValueCountFrequency (%)
( 417
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6472
56.4%
Common 4944
43.1%
Latin 57
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 512
 
7.9%
중 499
 
7.7%
랑 453
 
7.0%
시 421
 
6.5%
울 414
 
6.4%
서 414
 
6.4%
구 414
 
6.4%
별 414
 
6.4%
특 414
 
6.4%
로 411
 
6.4%
Other values (122) 2106
32.5%
Latin
ValueCountFrequency (%)
e 10
17.5%
A 7
12.3%
V 5
8.8%
r 5
8.8%
t 5
8.8%
n 5
8.8%
S 5
8.8%
K 5
8.8%
B 4
 
7.0%
c 3
 
5.3%
Other values (2) 3
 
5.3%
Common
ValueCountFrequency (%)
2010
40.7%
* 1793
36.3%
) 417
 
8.4%
( 417
 
8.4%
, 260
 
5.3%
- 46
 
0.9%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6472
56.4%
ASCII 5001
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2010
40.2%
* 1793
35.9%
) 417
 
8.3%
( 417
 
8.3%
, 260
 
5.2%
- 46
 
0.9%
e 10
 
0.2%
A 7
 
0.1%
V 5
 
0.1%
r 5
 
0.1%
Other values (9) 31
 
0.6%
Hangul
ValueCountFrequency (%)
동 512
 
7.9%
중 499
 
7.7%
랑 453
 
7.0%
시 421
 
6.5%
울 414
 
6.4%
서 414
 
6.4%
구 414
 
6.4%
별 414
 
6.4%
특 414
 
6.4%
로 411
 
6.4%
Other values (122) 2106
32.5%

도로명우편번호
Text

MISSING 

Distinct81
Distinct (%)65.9%
Missing307
Missing (%)71.4%
Memory size3.5 KiB
2024-05-11T08:07:38.409444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3089431
Min length5

Characters and Unicode

Total characters653
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 (%)43.1%

Sample

1st row02138
2nd row02147
3rd row131230
4th row02060
5th row131822
ValueCountFrequency (%)
02055 7
 
5.7%
131822 5
 
4.1%
02262 5
 
4.1%
02144 3
 
2.4%
02186 3
 
2.4%
02067 3
 
2.4%
02066 2
 
1.6%
131807 2
 
1.6%
131802 2
 
1.6%
02059 2
 
1.6%
Other values (71) 89
72.4%
2024-05-11T08:07:39.679428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 147
22.5%
1 142
21.7%
2 137
21.0%
3 62
9.5%
8 45
 
6.9%
5 32
 
4.9%
7 26
 
4.0%
4 25
 
3.8%
6 24
 
3.7%
9 12
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 652
99.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 147
22.5%
1 142
21.8%
2 137
21.0%
3 62
9.5%
8 45
 
6.9%
5 32
 
4.9%
7 26
 
4.0%
4 25
 
3.8%
6 24
 
3.7%
9 12
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 653
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 147
22.5%
1 142
21.7%
2 137
21.0%
3 62
9.5%
8 45
 
6.9%
5 32
 
4.9%
7 26
 
4.0%
4 25
 
3.8%
6 24
 
3.7%
9 12
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 653
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 147
22.5%
1 142
21.7%
2 137
21.0%
3 62
9.5%
8 45
 
6.9%
5 32
 
4.9%
7 26
 
4.0%
4 25
 
3.8%
6 24
 
3.7%
9 12
 
1.8%

사업장명
Text

Distinct393
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-05-11T08:07:40.396504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length5.0651163
Min length2

Characters and Unicode

Total characters2178
Distinct characters301
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

Unique363 ?
Unique (%)84.4%

Sample

1st row(주)미디어만경
2nd row동아기획
3rd row뉴스타 싸인아트
4th row고려광고
5th row유진광고
ValueCountFrequency (%)
디자인 7
 
1.5%
주식회사 6
 
1.3%
한국광고 5
 
1.1%
상호불명 3
 
0.7%
대건기획 3
 
0.7%
월드광고 3
 
0.7%
제일기획 3
 
0.7%
석호디자인 2
 
0.4%
동방 2
 
0.4%
광고쟁이플러스 2
 
0.4%
Other values (400) 423
92.2%
2024-05-11T08:07:42.145882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 119
 
5.5%
고 115
 
5.3%
인 114
 
5.2%
기 108
 
5.0%
획 92
 
4.2%
디 66
 
3.0%
자 62
 
2.8%
주 52
 
2.4%
) 46
 
2.1%
드 45
 
2.1%
Other values (291) 1359
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2003
92.0%
Close Punctuation 46
 
2.1%
Open Punctuation 45
 
2.1%
Uppercase Letter 43
 
2.0%
Space Separator 29
 
1.3%
Lowercase Letter 6
 
0.3%
Other Punctuation 3
 
0.1%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 119
 
5.9%
고 115
 
5.7%
인 114
 
5.7%
기 108
 
5.4%
획 92
 
4.6%
디 66
 
3.3%
자 62
 
3.1%
주 52
 
2.6%
드 45
 
2.2%
사 34
 
1.7%
Other values (265) 1196
59.7%
Uppercase Letter
ValueCountFrequency (%)
M 9
20.9%
D 5
11.6%
G 5
11.6%
R 5
11.6%
S 4
9.3%
A 3
 
7.0%
I 3
 
7.0%
C 2
 
4.7%
N 2
 
4.7%
F 2
 
4.7%
Other values (3) 3
 
7.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
16.7%
n 1
16.7%
g 1
16.7%
i 1
16.7%
s 1
16.7%
d 1
16.7%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
. 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
4 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2003
92.0%
Common 126
 
5.8%
Latin 49
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 119
 
5.9%
고 115
 
5.7%
인 114
 
5.7%
기 108
 
5.4%
획 92
 
4.6%
디 66
 
3.3%
자 62
 
3.1%
주 52
 
2.6%
드 45
 
2.2%
사 34
 
1.7%
Other values (265) 1196
59.7%
Latin
ValueCountFrequency (%)
M 9
18.4%
D 5
10.2%
G 5
10.2%
R 5
10.2%
S 4
8.2%
A 3
 
6.1%
I 3
 
6.1%
C 2
 
4.1%
N 2
 
4.1%
F 2
 
4.1%
Other values (9) 9
18.4%
Common
ValueCountFrequency (%)
) 46
36.5%
( 45
35.7%
29
23.0%
& 2
 
1.6%
1 2
 
1.6%
4 1
 
0.8%
. 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2003
92.0%
ASCII 175
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 119
 
5.9%
고 115
 
5.7%
인 114
 
5.7%
기 108
 
5.4%
획 92
 
4.6%
디 66
 
3.3%
자 62
 
3.1%
주 52
 
2.6%
드 45
 
2.2%
사 34
 
1.7%
Other values (265) 1196
59.7%
ASCII
ValueCountFrequency (%)
) 46
26.3%
( 45
25.7%
29
16.6%
M 9
 
5.1%
D 5
 
2.9%
G 5
 
2.9%
R 5
 
2.9%
S 4
 
2.3%
A 3
 
1.7%
I 3
 
1.7%
Other values (16) 21
12.0%

최종수정일자
Date

Distinct271
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2007-12-28 17:01:44
Maximum2024-04-30 14:15:24
2024-05-11T08:07:42.652339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:07:44.069753image/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 size3.5 KiB
I
337 
U
93 

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 337
78.4%
U 93
 
21.6%

Length

2024-05-11T08:07:44.879401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:07:45.391722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 337
78.4%
u 93
 
21.6%

데이터갱신일자
Date

Distinct91
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T08:07:46.268450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:07:46.983084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing430
Missing (%)100.0%
Memory size3.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct352
Distinct (%)84.8%
Missing15
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean207575.15
Minimum196086.13
Maximum209856.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-11T08:07:47.711013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196086.13
5-th percentile206380.99
Q1206878.84
median207483.12
Q3208376.25
95-th percentile209085.93
Maximum209856.12
Range13769.991
Interquartile range (IQR)1497.4084

Descriptive statistics

Standard deviation1141.5419
Coefficient of variation (CV)0.0054994151
Kurtosis27.743766
Mean207575.15
Median Absolute Deviation (MAD)702.9682
Skewness-3.0348543
Sum86143686
Variance1303117.9
MonotonicityNot monotonic
2024-05-11T08:07:48.412014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209085.926142332 6
 
1.4%
208871.968615051 3
 
0.7%
208673.092820204 3
 
0.7%
208247.721639094 3
 
0.7%
208036.365343548 3
 
0.7%
206986.454175193 3
 
0.7%
206959.477415562 2
 
0.5%
206845.015741305 2
 
0.5%
207000.86674466 2
 
0.5%
206784.408940498 2
 
0.5%
Other values (342) 386
89.8%
(Missing) 15
 
3.5%
ValueCountFrequency (%)
196086.125352734 1
0.2%
200307.260843935 1
0.2%
202752.643107807 1
0.2%
205287.91015683 1
0.2%
206261.052582648 1
0.2%
206264.85197789 2
0.5%
206270.61746178 1
0.2%
206270.96670005 1
0.2%
206292.997292632 1
0.2%
206296.799495564 1
0.2%
ValueCountFrequency (%)
209856.1161416 1
0.2%
209839.6682253 1
0.2%
209828.308289376 1
0.2%
209646.142554388 1
0.2%
209564.715182122 1
0.2%
209447.332233451 1
0.2%
209394.785345905 1
0.2%
209376.610753394 1
0.2%
209313.095099176 2
0.5%
209231.766994785 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct352
Distinct (%)84.8%
Missing15
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean454788.5
Minimum449773.81
Maximum462790.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-11T08:07:48.919864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449773.81
5-th percentile452958.59
Q1454051.91
median454667.95
Q3455530.66
95-th percentile456862.48
Maximum462790.63
Range13016.817
Interquartile range (IQR)1478.7472

Descriptive statistics

Standard deviation1207.7511
Coefficient of variation (CV)0.0026556325
Kurtosis4.5464372
Mean454788.5
Median Absolute Deviation (MAD)708.16001
Skewness0.64300837
Sum1.8873723 × 108
Variance1458662.7
MonotonicityNot monotonic
2024-05-11T08:07:49.468116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457283.215342184 6
 
1.4%
455266.443586701 3
 
0.7%
456099.907231284 3
 
0.7%
454051.910871231 3
 
0.7%
453016.196299136 3
 
0.7%
454678.651640702 3
 
0.7%
453676.573222417 2
 
0.5%
454722.75543956 2
 
0.5%
455762.045652301 2
 
0.5%
453738.952571757 2
 
0.5%
Other values (342) 386
89.8%
(Missing) 15
 
3.5%
ValueCountFrequency (%)
449773.808749501 1
0.2%
451427.006825169 1
0.2%
452149.459404344 1
0.2%
452170.570236727 1
0.2%
452187.628390085 1
0.2%
452222.440951787 1
0.2%
452349.71460239 1
0.2%
452363.18443853 1
0.2%
452377.281440325 1
0.2%
452390.473725568 1
0.2%
ValueCountFrequency (%)
462790.625803256 1
 
0.2%
457283.215342184 6
1.4%
457243.714685008 1
 
0.2%
457236.317706626 1
 
0.2%
457184.193839874 2
 
0.5%
457183.637796144 1
 
0.2%
457102.262608024 1
 
0.2%
457089.205419279 1
 
0.2%
457078.855669577 1
 
0.2%
457048.272231241 1
 
0.2%

영업내용
Text

MISSING 

Distinct66
Distinct (%)17.2%
Missing46
Missing (%)10.7%
Memory size3.5 KiB
2024-05-11T08:07:50.067278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length9.546875
Min length4

Characters and Unicode

Total characters3666
Distinct characters81
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)14.3%

Sample

1st row옥외광고물 제작 설치
2nd row옥외광고물 제작
3rd row옥외광고물 제작 설치
4th row옥외광고물 제작 설치
5th row옥외광고물 제작
ValueCountFrequency (%)
제작 242
29.1%
옥외광고물 227
27.3%
설치 119
14.3%
옥외광고물제작설치 96
 
11.6%
및 41
 
4.9%
광고물 11
 
1.3%
옥외광고업 6
 
0.7%
광고물제작 6
 
0.7%
대행 5
 
0.6%
옥외광고물제작 5
 
0.6%
Other values (49) 73
 
8.8%
2024-05-11T08:07:51.024446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
449
12.2%
광 372
10.1%
고 371
10.1%
제 369
10.1%
작 366
10.0%
물 354
9.7%
옥 341
9.3%
외 341
9.3%
설 221
6.0%
치 220
6.0%
Other values (71) 262
7.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3181
86.8%
Space Separator 449
 
12.2%
Other Punctuation 22
 
0.6%
Decimal Number 7
 
0.2%
Uppercase Letter 3
 
0.1%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 372
11.7%
고 371
11.7%
제 369
11.6%
작 366
11.5%
물 354
11.1%
옥 341
10.7%
외 341
10.7%
설 221
6.9%
치 220
6.9%
및 45
 
1.4%
Other values (57) 181
5.7%
Decimal Number
ValueCountFrequency (%)
2 2
28.6%
0 1
14.3%
1 1
14.3%
5 1
14.3%
6 1
14.3%
3 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
E 1
33.3%
D 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 17
77.3%
. 5
 
22.7%
Space Separator
ValueCountFrequency (%)
449
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3181
86.8%
Common 482
 
13.1%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 372
11.7%
고 371
11.7%
제 369
11.6%
작 366
11.5%
물 354
11.1%
옥 341
10.7%
외 341
10.7%
설 221
6.9%
치 220
6.9%
및 45
 
1.4%
Other values (57) 181
5.7%
Common
ValueCountFrequency (%)
449
93.2%
, 17
 
3.5%
. 5
 
1.0%
) 2
 
0.4%
( 2
 
0.4%
2 2
 
0.4%
0 1
 
0.2%
1 1
 
0.2%
5 1
 
0.2%
6 1
 
0.2%
Latin
ValueCountFrequency (%)
L 1
33.3%
E 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3181
86.8%
ASCII 485
 
13.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
449
92.6%
, 17
 
3.5%
. 5
 
1.0%
) 2
 
0.4%
( 2
 
0.4%
2 2
 
0.4%
L 1
 
0.2%
E 1
 
0.2%
D 1
 
0.2%
0 1
 
0.2%
Other values (4) 4
 
0.8%
Hangul
ValueCountFrequency (%)
광 372
11.7%
고 371
11.7%
제 369
11.6%
작 366
11.5%
물 354
11.1%
옥 341
10.7%
외 341
10.7%
설 221
6.9%
치 220
6.9%
및 45
 
1.4%
Other values (57) 181
5.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
03060000198830601080850000120170330<NA>1영업/정상20정상<NA><NA><NA><NA>02 4942345<NA><NA>서울특별시 중랑구 상봉동 ***서울특별시 중랑구 면목로 *** (상봉동)02138(주)미디어만경2022-09-14 16:19:51U2021-12-08 23:06:00.0<NA>207537.323812454541.434355<NA>
13060000198830601080850000219880704<NA>1영업/정상20정상<NA><NA><NA><NA>02 4358248<NA><NA>서울특별시 중랑구 중화동 ***-**번지서울특별시 중랑구 동일로 *** (중화동)<NA>동아기획2016-10-20 15:17:30I2018-08-31 23:59:59.0<NA>207015.416113455285.80074옥외광고물 제작 설치
23060000198830601080850000419880704<NA>3폐업40폐업20000927<NA><NA><NA>02 000 0000<NA><NA>서울특별시 중랑구 상봉동 ***-**번지 *통*반 *서울특별시 중랑구 동일로 *** (상봉동,*)<NA>뉴스타 싸인아트2008-03-04 19:46:00I2018-08-31 23:59:59.0<NA>206987.553126454517.463361옥외광고물 제작
33060000198830601080850000619880704<NA>3폐업40폐업20150821<NA><NA><NA>02 4342715<NA><NA>서울특별시 중랑구 면목동 ***-**번지서울특별시 중랑구 중랑천로 ** (면목동)<NA>고려광고2015-08-21 15:17:51I2018-08-31 23:59:59.0<NA>206368.067801454321.062422옥외광고물 제작 설치
43060000198830601080850000719880704<NA>3폐업40폐업20090105<NA><NA><NA>02 4334258<NA><NA>서울특별시 중랑구 망우동 ***-**번지서울특별시 중랑구 망우로 *** (망우동)<NA>유진광고2009-01-06 09:04:23I2018-08-31 23:59:59.0<NA>209376.610753455391.258528옥외광고물 제작 설치
53060000198830601080850000919880704<NA>3폐업40폐업19980714<NA><NA><NA>02 435 0185<NA><NA>서울특별시 중랑구 중화동 ***-*번지 *통*반 *서울특별시 중랑구 망우로 ***-* (중화동,*)<NA>동명광고사2008-03-04 19:46:00I2018-08-31 23:59:59.0<NA>206429.665246454583.520466옥외광고물 제작
63060000198830601080850001319880704<NA>3폐업40폐업20100419<NA><NA><NA>02 4339850<NA><NA>서울특별시 중랑구 중화동 ***-**번지서울특별시 중랑구 동일로 *** (중화동)<NA>샬롬광고2010-04-19 14:18:19I2018-08-31 23:59:59.0<NA>206903.890683455538.386602옥외광고물 제작
73060000198830601080850001619880722<NA>3폐업40폐업20031030<NA><NA><NA><NA><NA><NA>서울특별시 중랑구 신내동 ***-*번지 *통*반 *서울특별시 중랑구 봉화산로**길 ** (신내동,*)<NA>국천기업2008-03-04 19:46:00I2018-08-31 23:59:59.0<NA>208673.09282456099.907231옥외광고물 제작
83060000198830601080850001919880722<NA>3폐업40폐업20040915<NA><NA><NA>02 000 0000<NA><NA>서울특별시 중랑구 면목동 ***-*번지 *통*반 *서울특별시 중랑구 면목로 *** (면목동,*)<NA>미래광고2008-03-04 19:46:00I2018-08-31 23:59:59.0<NA>207756.876156453652.560016옥외광고물 제작
93060000198830601080850002319880722<NA>3폐업40폐업20010131<NA><NA><NA>02 434 7739<NA><NA>서울특별시 중랑구 면목동 ***-**번지 *통*반 *서울특별시 중랑구 봉우재로 ** (면목동,*)<NA>화신광고2008-03-04 19:46:00I2018-08-31 23:59:59.0<NA>207265.719204454390.596569옥외광고물 제작
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
420306000020233060192085000042023-08-02<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 ***-**서울특별시 중랑구 동일로 ***, *층 (묵동)02045유진애드2023-08-02 14:27:20I2022-12-08 00:04:00.0<NA>206884.520778456059.892707<NA>
421306000020233060192085000052023-08-28<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 ***-**서울특별시 중랑구 망우로 ***, *층 (망우동)02066살리다기획2023-08-30 10:25:38I2022-12-09 00:01:00.0<NA>209231.766995455399.390849<NA>
422306000020233060192085000062023-05-26<NA>4취소/말소/만료/정지/중지70취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 석관동 ***-***서울특별시 성북구 화랑로**길 ***-** (석관동)02788살리다기획2023-10-12 17:12:23I2022-10-30 23:04:00.0<NA>205287.910157455792.75958<NA>
423306000020233060192085000072019-03-04<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 ***-** 김용한의원서울특별시 중랑구 겸재로**길 ***, 김용한의원 *층 ***호 (면목동)02144디자인 디룸2023-11-13 14:38:42U2022-10-31 23:05:00.0<NA>207504.128159454396.575814<NA>
424306000020233060192085000082023-10-12<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 ***-** 김용한의원서울특별시 중랑구 겸재로**길 ***, 김용한의원 *층 ***호 (면목동)02144(주)레드 중랑지점2023-10-16 10:34:58I2022-10-30 23:08:00.0<NA>207504.128159454396.575814<NA>
425306000020233060192085000092023-10-17<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 신내동 *** 신내 데시앙포레서울특별시 중랑구 신내역로 ***, ***동 ****호 (신내동, 신내 데시앙포레)02055베프2023-10-19 11:25:48I2022-10-30 22:01:00.0<NA>209646.142554456996.056603<NA>
426306000020233060192085000102023-11-21<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 ***-**서울특별시 중랑구 상봉중앙로*길 **, *층 (상봉동)02091에스와이(SY)광고2023-11-22 08:59:34I2022-10-31 22:04:00.0<NA>207666.878836455135.80067<NA>
427306000020233060192085000112023-12-21<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 신내동 ***-* 신내 SK V* center서울특별시 중랑구 신내역로 ***, 신내 SK V* center A동 ***호 (신내동)02262(주)랜드아우라2023-12-22 13:26:29I2022-11-01 22:04:00.0<NA>209856.116142456761.92113<NA>
428306000020243060192085000012024-01-30<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 ****-* 선경씨티빌 A동 ***호서울특별시 중랑구 겸재로**길 **, A동 ***호 (면목동, 선경씨티빌)02204공명2024-01-30 14:35:19I2023-12-02 00:01:00.0<NA>208002.026412453878.977612<NA>
429306000020243060192085000022024-04-15<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 ***-*서울특별시 중랑구 겸재로 ***, *층 (면목동)02216주식회사 디앤에스플러스2024-04-16 15:27:00U2023-12-03 23:08:00.0<NA>207285.412457453862.860793<NA>