Overview

Dataset statistics

Number of variables26
Number of observations317
Missing cells2557
Missing cells (%)31.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory68.5 KiB
Average record size in memory221.4 B

Variable types

Categorical6
Numeric5
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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-17831/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 317 (100.0%) missing valuesMissing
폐업일자 has 182 (57.4%) missing valuesMissing
휴업시작일자 has 309 (97.5%) missing valuesMissing
휴업종료일자 has 309 (97.5%) missing valuesMissing
재개업일자 has 317 (100.0%) missing valuesMissing
전화번호 has 75 (23.7%) missing valuesMissing
소재지면적 has 317 (100.0%) missing valuesMissing
소재지우편번호 has 317 (100.0%) missing valuesMissing
지번주소 has 7 (2.2%) missing valuesMissing
도로명주소 has 8 (2.5%) missing valuesMissing
도로명우편번호 has 41 (12.9%) missing valuesMissing
업태구분명 has 317 (100.0%) missing valuesMissing
좌표정보(X) has 5 (1.6%) missing valuesMissing
좌표정보(Y) has 5 (1.6%) missing valuesMissing
영업내용 has 31 (9.8%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 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 09:34:25.858283
Analysis finished2024-05-11 09:34:27.580212
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
3040000
317 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 317
100.0%

Length

2024-05-11T09:34:27.884672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:34:28.281676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 317
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct317
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0101684 × 1018
Minimum1.988304 × 1018
Maximum2.023304 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T09:34:28.656543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.988304 × 1018
5-th percentile2.004304 × 1018
Q12.007304 × 1018
median2.007304 × 1018
Q32.013304 × 1018
95-th percentile2.021304 × 1018
Maximum2.023304 × 1018
Range3.500001 × 1016
Interquartile range (IQR)6.0000025 × 1015

Descriptive statistics

Standard deviation5.3843352 × 1015
Coefficient of variation (CV)0.0026785494
Kurtosis1.2449097
Mean2.0101684 × 1018
Median Absolute Deviation (MAD)1.000001 × 1015
Skewness0.29578148
Sum-8.4126703 × 1018
Variance2.8991066 × 1031
MonotonicityStrictly increasing
2024-05-11T09:34:29.246003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1988304011508500003 1
 
0.3%
2011304014008500001 1
 
0.3%
2011304014008500008 1
 
0.3%
2011304014008500007 1
 
0.3%
2011304014008500006 1
 
0.3%
2011304014008500005 1
 
0.3%
2011304014008500004 1
 
0.3%
2011304014008500003 1
 
0.3%
2011304014008500002 1
 
0.3%
2010304014008500013 1
 
0.3%
Other values (307) 307
96.8%
ValueCountFrequency (%)
1988304011508500003 1
0.3%
1992304011508500051 1
0.3%
1993304011508500081 1
0.3%
1995304011508500126 1
0.3%
1996304012508500443 1
0.3%
1997304011508500174 1
0.3%
2000304011508500252 1
0.3%
2001304007708200001 1
0.3%
2001304011508500276 1
0.3%
2002304011508500310 1
0.3%
ValueCountFrequency (%)
2023304021508500003 1
0.3%
2023304021508500002 1
0.3%
2023304021508500001 1
0.3%
2022304021508500005 1
0.3%
2022304021508500004 1
0.3%
2022304021508500003 1
0.3%
2022304021508500002 1
0.3%
2022304021508500001 1
0.3%
2021304021508500009 1
0.3%
2021304021508500008 1
0.3%

인허가일자
Date

Distinct247
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum1988-07-05 00:00:00
Maximum2023-08-10 00:00:00
2024-05-11T09:34:29.934739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:34:30.728096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
3
193 
1
118 
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 193
60.9%
1 118
37.2%
2 6
 
1.9%

Length

2024-05-11T09:34:31.380147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:34:32.196016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 193
60.9%
1 118
37.2%
2 6
 
1.9%

영업상태명
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
폐업
193 
영업/정상
118 
휴업
 
6

Length

Max length5
Median length2
Mean length3.1167192
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 193
60.9%
영업/정상 118
37.2%
휴업 6
 
1.9%

Length

2024-05-11T09:34:32.696629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:34:33.016865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 193
60.9%
영업/정상 118
37.2%
휴업 6
 
1.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
40
193 
20
118 
30
 
6

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
40 193
60.9%
20 118
37.2%
30 6
 
1.9%

Length

2024-05-11T09:34:33.528509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:34:33.876166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 193
60.9%
20 118
37.2%
30 6
 
1.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
폐업
193 
정상
118 
휴업
 
6

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 193
60.9%
정상 118
37.2%
휴업 6
 
1.9%

Length

2024-05-11T09:34:34.472772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:34:34.824862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 193
60.9%
정상 118
37.2%
휴업 6
 
1.9%

폐업일자
Date

MISSING 

Distinct115
Distinct (%)85.2%
Missing182
Missing (%)57.4%
Memory size2.6 KiB
Minimum2000-12-18 00:00:00
Maximum2023-07-27 00:00:00
2024-05-11T09:34:35.444533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:34:36.401029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing309
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean20163246
Minimum20041025
Maximum20220405
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T09:34:37.106836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041025
5-th percentile20068986
Q120143556
median20175654
Q320210607
95-th percentile20216976
Maximum20220405
Range179380
Interquartile range (IQR)67051

Descriptive statistics

Standard deviation60206.453
Coefficient of variation (CV)0.0029859504
Kurtosis1.5624382
Mean20163246
Median Absolute Deviation (MAD)34953
Skewness-1.2953866
Sum1.6130597 × 108
Variance3.624817 × 109
MonotonicityNot monotonic
2024-05-11T09:34:37.796117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20210608 1
 
0.3%
20041025 1
 
0.3%
20160908 1
 
0.3%
20210607 1
 
0.3%
20120913 1
 
0.3%
20220405 1
 
0.3%
20151104 1
 
0.3%
20190401 1
 
0.3%
(Missing) 309
97.5%
ValueCountFrequency (%)
20041025 1
0.3%
20120913 1
0.3%
20151104 1
0.3%
20160908 1
0.3%
20190401 1
0.3%
20210607 1
0.3%
20210608 1
0.3%
20220405 1
0.3%
ValueCountFrequency (%)
20220405 1
0.3%
20210608 1
0.3%
20210607 1
0.3%
20190401 1
0.3%
20160908 1
0.3%
20151104 1
0.3%
20120913 1
0.3%
20041025 1
0.3%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing309
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean20179392
Minimum20051031
Maximum20240613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T09:34:38.538087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20051031
5-th percentile20078780
Q120160626
median20190718
Q320225558
95-th percentile20240542
Maximum20240613
Range189582
Interquartile range (IQR)64931

Descriptive statistics

Standard deviation63887.671
Coefficient of variation (CV)0.0031659859
Kurtosis1.4442614
Mean20179392
Median Absolute Deviation (MAD)39790.5
Skewness-1.2403178
Sum1.6143514 × 108
Variance4.0816345 × 109
MonotonicityNot monotonic
2024-05-11T09:34:39.152792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20220607 1
 
0.3%
20051031 1
 
0.3%
20170731 1
 
0.3%
20240613 1
 
0.3%
20130313 1
 
0.3%
20240409 1
 
0.3%
20181104 1
 
0.3%
20200331 1
 
0.3%
(Missing) 309
97.5%
ValueCountFrequency (%)
20051031 1
0.3%
20130313 1
0.3%
20170731 1
0.3%
20181104 1
0.3%
20200331 1
0.3%
20220607 1
0.3%
20240409 1
0.3%
20240613 1
0.3%
ValueCountFrequency (%)
20240613 1
0.3%
20240409 1
0.3%
20220607 1
0.3%
20200331 1
0.3%
20181104 1
0.3%
20170731 1
0.3%
20130313 1
0.3%
20051031 1
0.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

전화번호
Text

MISSING 

Distinct234
Distinct (%)96.7%
Missing75
Missing (%)23.7%
Memory size2.6 KiB
2024-05-11T09:34:40.233539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.4256198
Min length2

Characters and Unicode

Total characters2039
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

Unique228 ?
Unique (%)94.2%

Sample

1st row024506699
2nd row02
3rd row024353188
4th row024567777
5th row024635881
ValueCountFrequency (%)
02 42
 
12.7%
457 4
 
1.2%
576 3
 
0.9%
462 3
 
0.9%
497 3
 
0.9%
456 3
 
0.9%
452 3
 
0.9%
4554030 2
 
0.6%
4653104 2
 
0.6%
455 2
 
0.6%
Other values (250) 263
79.7%
2024-05-11T09:34:41.780291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 386
18.9%
2 241
11.8%
0 222
10.9%
6 182
8.9%
5 180
8.8%
3 169
8.3%
7 158
7.7%
1 154
 
7.6%
8 127
 
6.2%
111
 
5.4%
Other values (2) 109
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1918
94.1%
Space Separator 111
 
5.4%
Dash Punctuation 10
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 386
20.1%
2 241
12.6%
0 222
11.6%
6 182
9.5%
5 180
9.4%
3 169
8.8%
7 158
8.2%
1 154
 
8.0%
8 127
 
6.6%
9 99
 
5.2%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2039
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 386
18.9%
2 241
11.8%
0 222
10.9%
6 182
8.9%
5 180
8.8%
3 169
8.3%
7 158
7.7%
1 154
 
7.6%
8 127
 
6.2%
111
 
5.4%
Other values (2) 109
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2039
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 386
18.9%
2 241
11.8%
0 222
10.9%
6 182
8.9%
5 180
8.8%
3 169
8.3%
7 158
7.7%
1 154
 
7.6%
8 127
 
6.2%
111
 
5.4%
Other values (2) 109
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

지번주소
Text

MISSING 

Distinct147
Distinct (%)47.4%
Missing7
Missing (%)2.2%
Memory size2.6 KiB
2024-05-11T09:34:42.666876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length24.758065
Min length19

Characters and Unicode

Total characters7675
Distinct characters159
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

Unique107 ?
Unique (%)34.5%

Sample

1st row서울특별시 광진구 구의동 **-**번지
2nd row서울특별시 광진구 자양동 *-**번지 *통*반 .
3rd row서울특별시 광진구 광장동 ***번지
4th row서울특별시 광진구 자양동 ***-*
5th row서울특별시 광진구 군자동 ***-*번지
ValueCountFrequency (%)
서울특별시 309
21.9%
광진구 308
21.8%
번지 247
17.5%
자양동 84
 
5.9%
중곡동 83
 
5.9%
79
 
5.6%
구의동 64
 
4.5%
호 38
 
2.7%
광장동 33
 
2.3%
군자동 23
 
1.6%
Other values (94) 146
10.3%
2024-05-11T09:34:44.267430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1548
20.2%
1360
17.7%
구 374
 
4.9%
광 347
 
4.5%
동 321
 
4.2%
서 314
 
4.1%
시 310
 
4.0%
진 310
 
4.0%
특 309
 
4.0%
별 309
 
4.0%
Other values (149) 2173
28.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4422
57.6%
Other Punctuation 1551
 
20.2%
Space Separator 1360
 
17.7%
Dash Punctuation 287
 
3.7%
Open Punctuation 20
 
0.3%
Close Punctuation 20
 
0.3%
Uppercase Letter 13
 
0.2%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 374
 
8.5%
광 347
 
7.8%
동 321
 
7.3%
서 314
 
7.1%
시 310
 
7.0%
진 310
 
7.0%
특 309
 
7.0%
별 309
 
7.0%
울 309
 
7.0%
지 254
 
5.7%
Other values (131) 1265
28.6%
Uppercase Letter
ValueCountFrequency (%)
S 3
23.1%
B 2
15.4%
F 1
 
7.7%
D 1
 
7.7%
K 1
 
7.7%
R 1
 
7.7%
A 1
 
7.7%
P 1
 
7.7%
T 1
 
7.7%
V 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
* 1548
99.8%
. 2
 
0.1%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1360
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 287
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Lowercase Letter
ValueCountFrequency (%)
l 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4422
57.6%
Common 3238
42.2%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 374
 
8.5%
광 347
 
7.8%
동 321
 
7.3%
서 314
 
7.1%
시 310
 
7.0%
진 310
 
7.0%
특 309
 
7.0%
별 309
 
7.0%
울 309
 
7.0%
지 254
 
5.7%
Other values (131) 1265
28.6%
Latin
ValueCountFrequency (%)
S 3
20.0%
l 2
13.3%
B 2
13.3%
F 1
 
6.7%
D 1
 
6.7%
K 1
 
6.7%
R 1
 
6.7%
A 1
 
6.7%
P 1
 
6.7%
T 1
 
6.7%
Common
ValueCountFrequency (%)
* 1548
47.8%
1360
42.0%
- 287
 
8.9%
( 20
 
0.6%
) 20
 
0.6%
. 2
 
0.1%
/ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4422
57.6%
ASCII 3253
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1548
47.6%
1360
41.8%
- 287
 
8.8%
( 20
 
0.6%
) 20
 
0.6%
S 3
 
0.1%
l 2
 
0.1%
B 2
 
0.1%
. 2
 
0.1%
F 1
 
< 0.1%
Other values (8) 8
 
0.2%
Hangul
ValueCountFrequency (%)
구 374
 
8.5%
광 347
 
7.8%
동 321
 
7.3%
서 314
 
7.1%
시 310
 
7.0%
진 310
 
7.0%
특 309
 
7.0%
별 309
 
7.0%
울 309
 
7.0%
지 254
 
5.7%
Other values (131) 1265
28.6%

도로명주소
Text

MISSING 

Distinct214
Distinct (%)69.3%
Missing8
Missing (%)2.5%
Memory size2.6 KiB
2024-05-11T09:34:44.967869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length28.161812
Min length21

Characters and Unicode

Total characters8702
Distinct characters162
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

Unique166 ?
Unique (%)53.7%

Sample

1st row서울특별시 광진구 광나루로 *** (구의동)
2nd row서울특별시 광진구 동일로**길 *** (자양동,.)
3rd row서울특별시 광진구 아차산로 *** (광장동)
4th row서울특별시 광진구 자양로**길 ** (자양동)
5th row서울특별시 광진구 동일로 *** (군자동)
ValueCountFrequency (%)
314
18.0%
서울특별시 308
17.6%
광진구 308
17.6%
중곡동 82
 
4.7%
자양동 81
 
4.6%
구의동 61
 
3.5%
호 61
 
3.5%
층 56
 
3.2%
아차산로 37
 
2.1%
광장동 32
 
1.8%
Other values (120) 406
23.3%
2024-05-11T09:34:46.314289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1470
16.9%
* 1263
 
14.5%
구 381
 
4.4%
동 381
 
4.4%
광 365
 
4.2%
로 312
 
3.6%
서 310
 
3.6%
( 310
 
3.6%
) 310
 
3.6%
진 309
 
3.6%
Other values (152) 3291
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5129
58.9%
Space Separator 1470
 
16.9%
Other Punctuation 1434
 
16.5%
Open Punctuation 310
 
3.6%
Close Punctuation 310
 
3.6%
Dash Punctuation 33
 
0.4%
Uppercase Letter 13
 
0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 381
 
7.4%
동 381
 
7.4%
광 365
 
7.1%
로 312
 
6.1%
서 310
 
6.0%
진 309
 
6.0%
시 309
 
6.0%
특 308
 
6.0%
울 308
 
6.0%
별 308
 
6.0%
Other values (133) 1838
35.8%
Uppercase Letter
ValueCountFrequency (%)
S 3
23.1%
B 3
23.1%
D 1
 
7.7%
K 1
 
7.7%
A 1
 
7.7%
P 1
 
7.7%
T 1
 
7.7%
V 1
 
7.7%
R 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
* 1263
88.1%
, 169
 
11.8%
/ 1
 
0.1%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1470
100.0%
Open Punctuation
ValueCountFrequency (%)
( 310
100.0%
Close Punctuation
ValueCountFrequency (%)
) 310
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Lowercase Letter
ValueCountFrequency (%)
l 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5129
58.9%
Common 3558
40.9%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 381
 
7.4%
동 381
 
7.4%
광 365
 
7.1%
로 312
 
6.1%
서 310
 
6.0%
진 309
 
6.0%
시 309
 
6.0%
특 308
 
6.0%
울 308
 
6.0%
별 308
 
6.0%
Other values (133) 1838
35.8%
Latin
ValueCountFrequency (%)
S 3
20.0%
B 3
20.0%
l 2
13.3%
D 1
 
6.7%
K 1
 
6.7%
A 1
 
6.7%
P 1
 
6.7%
T 1
 
6.7%
V 1
 
6.7%
R 1
 
6.7%
Common
ValueCountFrequency (%)
1470
41.3%
* 1263
35.5%
( 310
 
8.7%
) 310
 
8.7%
, 169
 
4.7%
- 33
 
0.9%
/ 1
 
< 0.1%
~ 1
 
< 0.1%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5129
58.9%
ASCII 3573
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1470
41.1%
* 1263
35.3%
( 310
 
8.7%
) 310
 
8.7%
, 169
 
4.7%
- 33
 
0.9%
S 3
 
0.1%
B 3
 
0.1%
l 2
 
0.1%
D 1
 
< 0.1%
Other values (9) 9
 
0.3%
Hangul
ValueCountFrequency (%)
구 381
 
7.4%
동 381
 
7.4%
광 365
 
7.1%
로 312
 
6.1%
서 310
 
6.0%
진 309
 
6.0%
시 309
 
6.0%
특 308
 
6.0%
울 308
 
6.0%
별 308
 
6.0%
Other values (133) 1838
35.8%

도로명우편번호
Text

MISSING 

Distinct140
Distinct (%)50.7%
Missing41
Missing (%)12.9%
Memory size2.6 KiB
2024-05-11T09:34:47.324380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.6449275
Min length5

Characters and Unicode

Total characters1558
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

Unique77 ?
Unique (%)27.9%

Sample

1st row143866
2nd row143839
3rd row05043
4th row143752
5th row143915
ValueCountFrequency (%)
143819 9
 
3.3%
143853 9
 
3.3%
143802 7
 
2.5%
04969 6
 
2.2%
143826 6
 
2.2%
143904 6
 
2.2%
143867 6
 
2.2%
143866 5
 
1.8%
05098 4
 
1.4%
143721 4
 
1.4%
Other values (130) 214
77.5%
2024-05-11T09:34:48.953353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 272
17.5%
1 264
16.9%
3 228
14.6%
0 217
13.9%
8 162
10.4%
9 142
9.1%
5 91
 
5.8%
6 74
 
4.7%
2 64
 
4.1%
7 41
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1555
99.8%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 272
17.5%
1 264
17.0%
3 228
14.7%
0 217
14.0%
8 162
10.4%
9 142
9.1%
5 91
 
5.9%
6 74
 
4.8%
2 64
 
4.1%
7 41
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1558
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 272
17.5%
1 264
16.9%
3 228
14.6%
0 217
13.9%
8 162
10.4%
9 142
9.1%
5 91
 
5.8%
6 74
 
4.7%
2 64
 
4.1%
7 41
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1558
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 272
17.5%
1 264
16.9%
3 228
14.6%
0 217
13.9%
8 162
10.4%
9 142
9.1%
5 91
 
5.8%
6 74
 
4.7%
2 64
 
4.1%
7 41
 
2.6%

사업장명
Text

Distinct300
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-05-11T09:34:49.704082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length6.4164038
Min length2

Characters and Unicode

Total characters2034
Distinct characters301
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

Unique283 ?
Unique (%)89.3%

Sample

1st row신흥광고사
2nd row웅지광고사
3rd row송산기획
4th row광일후레임
5th row삼성크리에티브
ValueCountFrequency (%)
주식회사 14
 
4.0%
광림애드 2
 
0.6%
영컴 2
 
0.6%
가우컴퍼니 2
 
0.6%
한송기획 2
 
0.6%
웅지광고사 2
 
0.6%
명인 2
 
0.6%
태양광고 2
 
0.6%
해밀디자인 2
 
0.6%
하나지에스주식회사 2
 
0.6%
Other values (307) 318
90.9%
2024-05-11T09:34:51.330491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 113
 
5.6%
( 96
 
4.7%
) 96
 
4.7%
인 85
 
4.2%
디 70
 
3.4%
자 56
 
2.8%
광 55
 
2.7%
기 51
 
2.5%
이 49
 
2.4%
고 47
 
2.3%
Other values (291) 1316
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1737
85.4%
Open Punctuation 96
 
4.7%
Close Punctuation 96
 
4.7%
Uppercase Letter 43
 
2.1%
Space Separator 34
 
1.7%
Lowercase Letter 15
 
0.7%
Other Punctuation 6
 
0.3%
Decimal Number 6
 
0.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 113
 
6.5%
인 85
 
4.9%
디 70
 
4.0%
자 56
 
3.2%
광 55
 
3.2%
기 51
 
2.9%
이 49
 
2.8%
고 47
 
2.7%
사 45
 
2.6%
드 44
 
2.5%
Other values (255) 1122
64.6%
Uppercase Letter
ValueCountFrequency (%)
S 8
18.6%
D 7
16.3%
L 6
14.0%
G 5
11.6%
E 3
 
7.0%
I 3
 
7.0%
P 2
 
4.7%
J 2
 
4.7%
M 1
 
2.3%
O 1
 
2.3%
Other values (5) 5
11.6%
Lowercase Letter
ValueCountFrequency (%)
c 2
13.3%
e 2
13.3%
i 2
13.3%
p 2
13.3%
d 1
6.7%
s 1
6.7%
m 1
6.7%
r 1
6.7%
g 1
6.7%
n 1
6.7%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
3 1
 
16.7%
6 1
 
16.7%
9 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
. 5
83.3%
& 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Space Separator
ValueCountFrequency (%)
34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1737
85.4%
Common 239
 
11.8%
Latin 58
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 113
 
6.5%
인 85
 
4.9%
디 70
 
4.0%
자 56
 
3.2%
광 55
 
3.2%
기 51
 
2.9%
이 49
 
2.8%
고 47
 
2.7%
사 45
 
2.6%
드 44
 
2.5%
Other values (255) 1122
64.6%
Latin
ValueCountFrequency (%)
S 8
13.8%
D 7
 
12.1%
L 6
 
10.3%
G 5
 
8.6%
E 3
 
5.2%
I 3
 
5.2%
c 2
 
3.4%
e 2
 
3.4%
P 2
 
3.4%
i 2
 
3.4%
Other values (16) 18
31.0%
Common
ValueCountFrequency (%)
( 96
40.2%
) 96
40.2%
34
 
14.2%
. 5
 
2.1%
1 3
 
1.3%
3 1
 
0.4%
- 1
 
0.4%
6 1
 
0.4%
9 1
 
0.4%
& 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1737
85.4%
ASCII 297
 
14.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 113
 
6.5%
인 85
 
4.9%
디 70
 
4.0%
자 56
 
3.2%
광 55
 
3.2%
기 51
 
2.9%
이 49
 
2.8%
고 47
 
2.7%
사 45
 
2.6%
드 44
 
2.5%
Other values (255) 1122
64.6%
ASCII
ValueCountFrequency (%)
( 96
32.3%
) 96
32.3%
34
 
11.4%
S 8
 
2.7%
D 7
 
2.4%
L 6
 
2.0%
G 5
 
1.7%
. 5
 
1.7%
1 3
 
1.0%
E 3
 
1.0%
Other values (26) 34
 
11.4%

최종수정일자
Date

UNIQUE 

Distinct317
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2008-09-09 14:06:28
Maximum2024-04-03 15:22:40
2024-05-11T09:34:51.967132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:34:52.440852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
I
236 
U
81 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 236
74.4%
U 81
 
25.6%

Length

2024-05-11T09:34:52.833910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:34:53.234863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 236
74.4%
u 81
 
25.6%

데이터갱신일자
Date

Distinct88
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-05-11T09:34:53.727969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:34:54.254668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct253
Distinct (%)81.1%
Missing5
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean207258.75
Minimum186690.15
Maximum209775.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T09:34:54.816489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186690.15
5-th percentile205894.65
Q1206763.03
median207236.68
Q3207799.44
95-th percentile209367.79
Maximum209775.27
Range23085.121
Interquartile range (IQR)1036.4033

Descriptive statistics

Standard deviation1525.7364
Coefficient of variation (CV)0.0073615052
Kurtosis106.20608
Mean207258.75
Median Absolute Deviation (MAD)530.05115
Skewness-7.8394757
Sum64664730
Variance2327871.5
MonotonicityNot monotonic
2024-05-11T09:34:55.384129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208394.416382167 5
 
1.6%
207252.38382369 5
 
1.6%
206831.407942062 4
 
1.3%
209345.941766315 4
 
1.3%
209506.54940258 3
 
0.9%
209679.58447051 3
 
0.9%
207371.47460943 3
 
0.9%
209637.078215509 3
 
0.9%
209367.789273811 3
 
0.9%
207772.192731732 3
 
0.9%
Other values (243) 276
87.1%
(Missing) 5
 
1.6%
ValueCountFrequency (%)
186690.146403244 1
0.3%
202122.980021099 1
0.3%
205287.059755932 1
0.3%
205321.284730435 1
0.3%
205404.951954378 1
0.3%
205405.528552533 1
0.3%
205471.794445076 1
0.3%
205558.637304498 1
0.3%
205598.497195455 1
0.3%
205687.675941036 1
0.3%
ValueCountFrequency (%)
209775.267831522 1
 
0.3%
209734.218553133 2
0.6%
209679.58447051 3
0.9%
209653.285186637 1
 
0.3%
209637.078215509 3
0.9%
209506.54940258 3
0.9%
209505.045903118 1
 
0.3%
209367.789273811 3
0.9%
209345.941766315 4
1.3%
209336.361512026 3
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct253
Distinct (%)81.1%
Missing5
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean449424.39
Minimum436660.02
Maximum452074.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-05-11T09:34:55.909491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum436660.02
5-th percentile447738.03
Q1448411.65
median449382.54
Q3450397.68
95-th percentile451676.9
Maximum452074.01
Range15413.984
Interquartile range (IQR)1986.0225

Descriptive statistics

Standard deviation1455.18
Coefficient of variation (CV)0.003237875
Kurtosis17.973943
Mean449424.39
Median Absolute Deviation (MAD)1001.0047
Skewness-2.0894526
Sum1.4022041 × 108
Variance2117548.8
MonotonicityNot monotonic
2024-05-11T09:34:56.580860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448165.279999905 5
 
1.6%
448128.04668131 5
 
1.6%
448430.205705735 4
 
1.3%
449811.718207794 4
 
1.3%
449634.030106178 3
 
0.9%
449910.157174809 3
 
0.9%
450956.682369567 3
 
0.9%
449832.485937903 3
 
0.9%
449586.602083537 3
 
0.9%
449511.169058753 3
 
0.9%
Other values (243) 276
87.1%
(Missing) 5
 
1.6%
ValueCountFrequency (%)
436660.024212789 1
0.3%
444254.241685558 1
0.3%
447382.310354354 1
0.3%
447444.541838743 2
0.6%
447460.707752416 1
0.3%
447464.440447288 1
0.3%
447533.24263275 1
0.3%
447638.884179776 1
0.3%
447684.16710521 1
0.3%
447694.23236923 2
0.6%
ValueCountFrequency (%)
452074.008224618 2
0.6%
452070.118445356 1
 
0.3%
452010.46831334 1
 
0.3%
451991.900378929 1
 
0.3%
451971.985321442 1
 
0.3%
451907.550169686 1
 
0.3%
451896.819083957 1
 
0.3%
451889.632305793 1
 
0.3%
451874.77799331 3
0.9%
451763.287416061 1
 
0.3%

영업내용
Text

MISSING 

Distinct154
Distinct (%)53.8%
Missing31
Missing (%)9.8%
Memory size2.6 KiB
2024-05-11T09:34:57.368251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length27
Mean length9.6783217
Min length2

Characters and Unicode

Total characters2768
Distinct characters150
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

Unique129 ?
Unique (%)45.1%

Sample

1st row광고물제작
2nd row광고물제작
3rd row광고물제작
4th row옥외광고업
5th row광고물제작
ValueCountFrequency (%)
옥외광고물제작 50
 
10.4%
광고물제작 39
 
8.1%
및 37
 
7.7%
제작 30
 
6.2%
옥외광고물 23
 
4.8%
간판 22
 
4.6%
간판제작 14
 
2.9%
옥외광고업 14
 
2.9%
대행 12
 
2.5%
광고대행 12
 
2.5%
Other values (159) 227
47.3%
2024-05-11T09:34:58.869547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 261
 
9.4%
고 261
 
9.4%
제 229
 
8.3%
195
 
7.0%
물 184
 
6.6%
작 179
 
6.5%
외 128
 
4.6%
옥 119
 
4.3%
판 91
 
3.3%
간 84
 
3.0%
Other values (140) 1037
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2364
85.4%
Space Separator 195
 
7.0%
Other Punctuation 175
 
6.3%
Uppercase Letter 10
 
0.4%
Close Punctuation 9
 
0.3%
Open Punctuation 9
 
0.3%
Lowercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 261
 
11.0%
고 261
 
11.0%
제 229
 
9.7%
물 184
 
7.8%
작 179
 
7.6%
외 128
 
5.4%
옥 119
 
5.0%
판 91
 
3.8%
간 84
 
3.6%
및 65
 
2.7%
Other values (121) 763
32.3%
Uppercase Letter
ValueCountFrequency (%)
L 3
30.0%
D 2
20.0%
E 2
20.0%
C 1
 
10.0%
I 1
 
10.0%
P 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
d 1
16.7%
e 1
16.7%
n 1
16.7%
s 1
16.7%
i 1
16.7%
g 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 61
34.9%
, 59
33.7%
/ 54
30.9%
? 1
 
0.6%
Space Separator
ValueCountFrequency (%)
195
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2364
85.4%
Common 388
 
14.0%
Latin 16
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 261
 
11.0%
고 261
 
11.0%
제 229
 
9.7%
물 184
 
7.8%
작 179
 
7.6%
외 128
 
5.4%
옥 119
 
5.0%
판 91
 
3.8%
간 84
 
3.6%
및 65
 
2.7%
Other values (121) 763
32.3%
Latin
ValueCountFrequency (%)
L 3
18.8%
D 2
12.5%
E 2
12.5%
d 1
 
6.2%
e 1
 
6.2%
n 1
 
6.2%
C 1
 
6.2%
I 1
 
6.2%
P 1
 
6.2%
s 1
 
6.2%
Other values (2) 2
12.5%
Common
ValueCountFrequency (%)
195
50.3%
. 61
 
15.7%
, 59
 
15.2%
/ 54
 
13.9%
) 9
 
2.3%
( 9
 
2.3%
? 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2364
85.4%
ASCII 404
 
14.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 261
 
11.0%
고 261
 
11.0%
제 229
 
9.7%
물 184
 
7.8%
작 179
 
7.6%
외 128
 
5.4%
옥 119
 
5.0%
판 91
 
3.8%
간 84
 
3.6%
및 65
 
2.7%
Other values (121) 763
32.3%
ASCII
ValueCountFrequency (%)
195
48.3%
. 61
 
15.1%
, 59
 
14.6%
/ 54
 
13.4%
) 9
 
2.2%
( 9
 
2.2%
L 3
 
0.7%
D 2
 
0.5%
E 2
 
0.5%
? 1
 
0.2%
Other values (9) 9
 
2.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
03040000198830401150850000319880705<NA>3폐업40폐업20070502<NA><NA><NA>024506699<NA><NA>서울특별시 광진구 구의동 **-**번지서울특별시 광진구 광나루로 *** (구의동)<NA>신흥광고사2011-05-04 13:50:47I2018-08-31 23:59:59.0<NA>207659.853321449211.167361광고물제작
13040000199230401150850005119920305<NA>3폐업40폐업20070323<NA><NA><NA>02<NA><NA>서울특별시 광진구 자양동 *-**번지 *통*반 .서울특별시 광진구 동일로**길 *** (자양동,.)<NA>웅지광고사2011-03-25 10:21:43I2018-08-31 23:59:59.0<NA>206058.900111448430.253418광고물제작
23040000199330401150850008119931029<NA>3폐업40폐업20070502<NA><NA><NA>024353188<NA><NA>서울특별시 광진구 광장동 ***번지서울특별시 광진구 아차산로 *** (광장동)<NA>송산기획2011-05-04 13:42:48I2018-08-31 23:59:59.0<NA>209367.789274449586.602084광고물제작
33040000199530401150850012620130307<NA>3폐업40폐업202205312021060820220607<NA>024567777<NA><NA>서울특별시 광진구 자양동 ***-*서울특별시 광진구 자양로**길 ** (자양동)143866광일후레임2022-05-31 18:18:23U2021-12-06 00:04:00.0<NA>206874.100219448045.283762<NA>
43040000199630401250850044320080501<NA>3폐업40폐업20190107<NA><NA><NA>024635881<NA><NA>서울특별시 광진구 군자동 ***-*번지서울특별시 광진구 동일로 *** (군자동)143839삼성크리에티브2019-01-07 13:48:24U2019-01-09 02:40:00.0<NA>206234.140951450268.964231옥외광고업
53040000199730401150850017419970718<NA>3폐업40폐업<NA><NA><NA><NA>024565858<NA><NA>서울특별시 광진구 중곡동 **-**번지서울특별시 광진구 자양로**길 ** (중곡동)<NA>(주)G.I.G기업2010-06-04 14:50:46I2018-08-31 23:59:59.0<NA>208041.188717450344.726939광고물제작
63040000200030401150850025220000421<NA>3폐업40폐업20001218<NA><NA><NA>02-1111-1111<NA><NA>서울특별시 광진구 구의동 ***-** 성지하이츠서울특별시 광진구 자양로 ***, 성지하이츠 (구의동)05043미래산업디자인연구소2020-10-22 10:02:47U2020-10-24 02:40:00.0<NA>207325.576921448526.049057광고물제작
73040000200130400770820000120010711<NA>3폐업40폐업<NA><NA><NA><NA>4653104<NA><NA>서울특별시 광진구 중곡동 ***-***번지<NA><NA>삼일공사2016-03-02 14:47:35I2018-08-31 23:59:59.0<NA><NA><NA>간판제작
83040000200130401150850027620010430<NA>1영업/정상20정상<NA><NA><NA><NA>024567123<NA><NA>서울특별시 광진구 광장동 ***-*번지 한수상가**호.**호서울특별시 광진구 아차산로 ***, **,**호 (광장동, 한수상가)143752(주)한송기업2012-02-24 16:08:29I2018-08-31 23:59:59.0<NA>209345.941766449811.718208광고물제작
93040000200230401150850031020021217<NA>1영업/정상20정상<NA><NA><NA><NA>456 6498<NA><NA>서울특별시 광진구 화양동 ***-**번지서울특별시 광진구 능동로 *** (화양동)143915언덕위의간판집2012-02-24 13:52:49I2018-08-31 23:59:59.0<NA>206445.838864449269.667769광고물제작
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
3073040000202130402150850000820211012<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 동일로 ***, *층 (군자동)05001준디자인2021-10-12 16:52:11I2021-10-14 00:22:46.0<NA>206106.412702449991.051075광고물제작, 실내장식
3083040000202130402150850000920211104<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 ***-**서울특별시 광진구 뚝섬로 ***-* (자양동)05099이루디자인2021-11-05 09:04:24I2021-11-07 00:22:45.0<NA>206893.843451447758.903011실사출력
3093040000202230402150850000120150513<NA>1영업/정상20정상<NA><NA><NA><NA>02 3339936<NA><NA>서울특별시 광진구 중곡동 ***-* 영창빌딩서울특별시 광진구 천호대로 ***, 영창빌딩 **층 (중곡동)04929주식회사 탑애드2022-05-19 14:21:13U2021-12-04 22:01:00.0<NA>207055.507996450542.18794<NA>
3103040000202230402150850000220220628<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 ***-** 크레신타워*차서울특별시 광진구 아차산로 ***, 크레신타워*차 *층 ***호 (구의동)05044바라던2022-08-02 17:46:09U2021-12-08 00:04:00.0<NA>207388.308849448313.517465<NA>
3113040000202230402150850000320220808<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양로**길 **, B층 **호 (자양동)05062개미현수막디자인2022-08-08 11:20:24I2021-12-07 23:01:00.0<NA>206874.100219448045.283762<NA>
3123040000202230402150850000420220921<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 긴고랑로**길 *, *층 (중곡동)04945주식회사 제이3점16프로젝트2022-09-22 09:06:11I2021-12-08 22:04:00.0<NA>207892.96072450717.285983<NA>
313304000020223040215085000052022-09-21<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 뚝섬로**길 **, *층 (자양동, 한가람빌)05100J&J Tech(젊은간판)2023-01-27 09:49:51U2022-12-04 22:06:00.0<NA>206899.328362447533.242633<NA>
314304000020233040215085000012023-04-03<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 광나루로 ***, *층 ***, ***호 (광장동, 광장동금호베스트빌)04984한아름기획2023-04-03 17:14:57I2022-12-04 22:06:00.0<NA>208238.557198449058.888575<NA>
315304000020233040215085000022023-07-04<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 용마산로**길 **, ***호 (중곡동)04941주식회사 곰도리푸들2023-07-05 08:05:43I2022-12-07 00:07:00.0<NA>207732.077857451115.475152<NA>
316304000020233040215085000032023-08-10<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 뚝섬로 ***, ***동 **층 *호 (자양동, 우성아파트)05069피디피피(Pdpp)2023-08-10 15:44:08I2022-12-07 23:02:00.0<NA>206609.947498448020.423891<NA>