Overview

Dataset statistics

Number of variables26
Number of observations486
Missing cells4144
Missing cells (%)32.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory104.1 KiB
Average record size in memory219.3 B

Variable types

Categorical6
Numeric4
DateTime7
Unsupported4
Text5

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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-17830/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (54.4%)Imbalance
영업상태명 is highly imbalanced (54.4%)Imbalance
상세영업상태코드 is highly imbalanced (60.0%)Imbalance
상세영업상태명 is highly imbalanced (60.0%)Imbalance
인허가취소일자 has 486 (100.0%) missing valuesMissing
폐업일자 has 141 (29.0%) missing valuesMissing
휴업시작일자 has 475 (97.7%) missing valuesMissing
휴업종료일자 has 475 (97.7%) missing valuesMissing
재개업일자 has 484 (99.6%) missing valuesMissing
전화번호 has 123 (25.3%) missing valuesMissing
소재지면적 has 486 (100.0%) missing valuesMissing
소재지우편번호 has 486 (100.0%) missing valuesMissing
도로명주소 has 70 (14.4%) missing valuesMissing
도로명우편번호 has 306 (63.0%) missing valuesMissing
업태구분명 has 486 (100.0%) missing valuesMissing
좌표정보(X) has 37 (7.6%) missing valuesMissing
좌표정보(Y) has 37 (7.6%) missing valuesMissing
영업내용 has 49 (10.1%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-18 03:34:10.550470
Analysis finished2024-05-18 03:34:12.046097
Duration1.5 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
3030000
486 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 486
100.0%

Length

2024-05-18T12:34:12.221900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:34:12.494712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 486
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct486
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0065705 × 1018
Minimum1.988303 × 1018
Maximum2.024303 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-18T12:34:12.841815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.988303 × 1018
5-th percentile1.993303 × 1018
Q12.000303 × 1018
median2.005303 × 1018
Q32.013303 × 1018
95-th percentile2.021303 × 1018
Maximum2.024303 × 1018
Range3.6000003 × 1016
Interquartile range (IQR)1.3000002 × 1016

Descriptive statistics

Standard deviation8.7321231 × 1015
Coefficient of variation (CV)0.0043517649
Kurtosis-0.78223961
Mean2.0065705 × 1018
Median Absolute Deviation (MAD)5.9999968 × 1015
Skewness0.21772835
Sum-2.4841722 × 1018
Variance7.6249975 × 1031
MonotonicityStrictly increasing
2024-05-18T12:34:13.351122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1988303011008500011 1
 
0.2%
2009303011508500009 1
 
0.2%
2010303011508500015 1
 
0.2%
2010303011508500014 1
 
0.2%
2010303011508500013 1
 
0.2%
2010303011508500012 1
 
0.2%
2010303011508500011 1
 
0.2%
2010303011508500010 1
 
0.2%
2010303011508500009 1
 
0.2%
2010303011508500008 1
 
0.2%
Other values (476) 476
97.9%
ValueCountFrequency (%)
1988303011008500011 1
0.2%
1988303011008500014 1
0.2%
1988303011008500029 1
0.2%
1989303011008500039 1
0.2%
1990303011008500080 1
0.2%
1990303011008500082 1
0.2%
1991303011008500091 1
0.2%
1991303011008500096 1
0.2%
1991303011008500105 1
0.2%
1991303011008500108 1
0.2%
ValueCountFrequency (%)
2024303014108500004 1
0.2%
2024303014108500003 1
0.2%
2024303014108500002 1
0.2%
2024303014108500001 1
0.2%
2023303014108500011 1
0.2%
2023303014108500010 1
0.2%
2023303014108500009 1
0.2%
2023303014108500008 1
0.2%
2023303014108500007 1
0.2%
2023303014108500006 1
0.2%

인허가일자
Date

Distinct431
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum1988-07-05 00:00:00
Maximum2024-05-13 00:00:00
2024-05-18T12:34:13.816778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:34:14.259471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing486
Missing (%)100.0%
Memory size4.4 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
3
365 
1
113 
2
 
5
4
 
3

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 (%)
3 365
75.1%
1 113
 
23.3%
2 5
 
1.0%
4 3
 
0.6%

Length

2024-05-18T12:34:14.675168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:34:14.986193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 365
75.1%
1 113
 
23.3%
2 5
 
1.0%
4 3
 
0.6%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
폐업
365 
영업/정상
113 
휴업
 
5
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length2
Mean length2.7716049
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 365
75.1%
영업/정상 113
 
23.3%
휴업 5
 
1.0%
취소/말소/만료/정지/중지 3
 
0.6%

Length

2024-05-18T12:34:15.378386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:34:15.756543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 365
75.1%
영업/정상 113
 
23.3%
휴업 5
 
1.0%
취소/말소/만료/정지/중지 3
 
0.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
40
365 
20
112 
30
 
5
70
 
3
10
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
40 365
75.1%
20 112
 
23.0%
30 5
 
1.0%
70 3
 
0.6%
10 1
 
0.2%

Length

2024-05-18T12:34:16.153390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:34:16.474506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 365
75.1%
20 112
 
23.0%
30 5
 
1.0%
70 3
 
0.6%
10 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
폐업
365 
정상
112 
휴업
 
5
취소
 
3
설립신청
 
1

Length

Max length4
Median length2
Mean length2.0041152
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 365
75.1%
정상 112
 
23.0%
휴업 5
 
1.0%
취소 3
 
0.6%
설립신청 1
 
0.2%

Length

2024-05-18T12:34:16.925053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:34:17.338379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 365
75.1%
정상 112
 
23.0%
휴업 5
 
1.0%
취소 3
 
0.6%
설립신청 1
 
0.2%

폐업일자
Date

MISSING 

Distinct222
Distinct (%)64.3%
Missing141
Missing (%)29.0%
Memory size3.9 KiB
Minimum1998-08-31 00:00:00
Maximum2024-04-18 00:00:00
2024-05-18T12:34:17.720872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:34:18.182810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing475
Missing (%)97.7%
Memory size3.9 KiB
Minimum2006-03-24 00:00:00
Maximum2024-04-25 00:00:00
2024-05-18T12:34:18.544631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:34:19.238422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업종료일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing475
Missing (%)97.7%
Memory size3.9 KiB
Minimum2007-03-23 00:00:00
Maximum2029-04-25 00:00:00
2024-05-18T12:34:19.627235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:34:20.165771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

재개업일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing484
Missing (%)99.6%
Memory size3.9 KiB
Minimum2021-12-27 00:00:00
Maximum2022-05-24 00:00:00
2024-05-18T12:34:20.612872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:34:21.066570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

전화번호
Text

MISSING 

Distinct347
Distinct (%)95.6%
Missing123
Missing (%)25.3%
Memory size3.9 KiB
2024-05-18T12:34:21.874396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.592287
Min length4

Characters and Unicode

Total characters3845
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

Unique340 ?
Unique (%)93.7%

Sample

1st row22932346
2nd row02-2294-5951
3rd row22955201
4th row02-2295-2732
5th row463 9702
ValueCountFrequency (%)
02 123
 
23.5%
02-000-0000 6
 
1.1%
070 5
 
1.0%
465 4
 
0.8%
02-2281-8697 3
 
0.6%
02-2298-7747 3
 
0.6%
462 3
 
0.6%
498 3
 
0.6%
463 2
 
0.4%
469 2
 
0.4%
Other values (364) 369
70.6%
2024-05-18T12:34:23.374936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 757
19.7%
0 569
14.8%
4 334
8.7%
9 295
 
7.7%
283
 
7.4%
- 264
 
6.9%
7 243
 
6.3%
6 242
 
6.3%
1 237
 
6.2%
3 222
 
5.8%
Other values (2) 399
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3298
85.8%
Space Separator 283
 
7.4%
Dash Punctuation 264
 
6.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 757
23.0%
0 569
17.3%
4 334
10.1%
9 295
 
8.9%
7 243
 
7.4%
6 242
 
7.3%
1 237
 
7.2%
3 222
 
6.7%
5 200
 
6.1%
8 199
 
6.0%
Space Separator
ValueCountFrequency (%)
283
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 264
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3845
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 757
19.7%
0 569
14.8%
4 334
8.7%
9 295
 
7.7%
283
 
7.4%
- 264
 
6.9%
7 243
 
6.3%
6 242
 
6.3%
1 237
 
6.2%
3 222
 
5.8%
Other values (2) 399
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3845
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 757
19.7%
0 569
14.8%
4 334
8.7%
9 295
 
7.7%
283
 
7.4%
- 264
 
6.9%
7 243
 
6.3%
6 242
 
6.3%
1 237
 
6.2%
3 222
 
5.8%
Other values (2) 399
10.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing486
Missing (%)100.0%
Memory size4.4 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing486
Missing (%)100.0%
Memory size4.4 KiB

지번주소
Text

Distinct288
Distinct (%)59.6%
Missing3
Missing (%)0.6%
Memory size3.9 KiB
2024-05-18T12:34:23.970837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length45
Mean length31.550725
Min length16

Characters and Unicode

Total characters15239
Distinct characters237
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique229 ?
Unique (%)47.4%

Sample

1st row서울특별시 성동구 행당동 ***-*번지 *통*반 . *동 *호
2nd row서울특별시 성동구 마장동 ***-*번지 **통*반 . *동 *호
3rd row서울특별시 성동구 마장동 ***-**번지 *통*반 . *동 *호
4th row서울특별시 성동구 행당동 ***-***번지 *통*반 . *동 *호
5th row서울특별시 성동구 송정동 **-**
ValueCountFrequency (%)
서울특별시 483
16.2%
성동구 479
16.0%
번지 346
11.6%
298
10.0%
성수동*가 271
9.1%
호 262
8.8%
동 189
 
6.3%
통*반 183
 
6.1%
층 44
 
1.5%
용답동 42
 
1.4%
Other values (176) 391
13.1%
2024-05-18T12:34:25.300299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3697
24.3%
2720
17.8%
동 1164
 
7.6%
성 781
 
5.1%
서 500
 
3.3%
울 499
 
3.3%
시 486
 
3.2%
구 485
 
3.2%
별 484
 
3.2%
특 483
 
3.2%
Other values (227) 3940
25.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8043
52.8%
Other Punctuation 3853
25.3%
Space Separator 2720
 
17.8%
Dash Punctuation 459
 
3.0%
Uppercase Letter 115
 
0.8%
Lowercase Letter 26
 
0.2%
Open Punctuation 7
 
< 0.1%
Close Punctuation 7
 
< 0.1%
Decimal Number 7
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1164
14.5%
성 781
 
9.7%
서 500
 
6.2%
울 499
 
6.2%
시 486
 
6.0%
구 485
 
6.0%
별 484
 
6.0%
특 483
 
6.0%
지 355
 
4.4%
번 346
 
4.3%
Other values (179) 2460
30.6%
Uppercase Letter
ValueCountFrequency (%)
E 14
12.2%
T 11
 
9.6%
A 10
 
8.7%
S 9
 
7.8%
K 9
 
7.8%
R 8
 
7.0%
B 7
 
6.1%
V 7
 
6.1%
O 5
 
4.3%
C 5
 
4.3%
Other values (11) 30
26.1%
Lowercase Letter
ValueCountFrequency (%)
o 5
19.2%
e 5
19.2%
r 4
15.4%
w 3
11.5%
t 2
 
7.7%
b 2
 
7.7%
m 1
 
3.8%
p 1
 
3.8%
a 1
 
3.8%
h 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
2 2
28.6%
6 1
14.3%
0 1
14.3%
3 1
14.3%
9 1
14.3%
8 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 3697
96.0%
. 153
 
4.0%
, 2
 
0.1%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2720
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 459
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8043
52.8%
Common 7054
46.3%
Latin 142
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1164
14.5%
성 781
 
9.7%
서 500
 
6.2%
울 499
 
6.2%
시 486
 
6.0%
구 485
 
6.0%
별 484
 
6.0%
특 483
 
6.0%
지 355
 
4.4%
번 346
 
4.3%
Other values (179) 2460
30.6%
Latin
ValueCountFrequency (%)
E 14
 
9.9%
T 11
 
7.7%
A 10
 
7.0%
S 9
 
6.3%
K 9
 
6.3%
R 8
 
5.6%
B 7
 
4.9%
V 7
 
4.9%
O 5
 
3.5%
C 5
 
3.5%
Other values (23) 57
40.1%
Common
ValueCountFrequency (%)
* 3697
52.4%
2720
38.6%
- 459
 
6.5%
. 153
 
2.2%
( 7
 
0.1%
) 7
 
0.1%
2 2
 
< 0.1%
, 2
 
< 0.1%
6 1
 
< 0.1%
0 1
 
< 0.1%
Other values (5) 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8043
52.8%
ASCII 7195
47.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3697
51.4%
2720
37.8%
- 459
 
6.4%
. 153
 
2.1%
E 14
 
0.2%
T 11
 
0.2%
A 10
 
0.1%
S 9
 
0.1%
K 9
 
0.1%
R 8
 
0.1%
Other values (37) 105
 
1.5%
Hangul
ValueCountFrequency (%)
동 1164
14.5%
성 781
 
9.7%
서 500
 
6.2%
울 499
 
6.2%
시 486
 
6.0%
구 485
 
6.0%
별 484
 
6.0%
특 483
 
6.0%
지 355
 
4.4%
번 346
 
4.3%
Other values (179) 2460
30.6%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

도로명주소
Text

MISSING 

Distinct355
Distinct (%)85.3%
Missing70
Missing (%)14.4%
Memory size3.9 KiB
2024-05-18T12:34:26.174294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length34.540865
Min length23

Characters and Unicode

Total characters14369
Distinct characters241
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique312 ?
Unique (%)75.0%

Sample

1st row서울특별시 성동구 마장로 ***-*, *동 *호 (마장동,.)
2nd row서울특별시 성동구 왕십리로 ***, *동 *호 (행당동,.)
3rd row서울특별시 성동구 동일로 *** (송정동)
4th row서울특별시 성동구 고산자로 ***, *동 *호 (도선동,신한넥스텔 ****)
5th row서울특별시 성동구 성덕정길 ***, ***동 *호 (성수동*가,.)
ValueCountFrequency (%)
426
15.8%
서울특별시 416
15.4%
성동구 413
15.3%
호 219
 
8.1%
성수동*가 218
 
8.1%
동 134
 
5.0%
층 66
 
2.4%
용답동 32
 
1.2%
동일로 29
 
1.1%
왕십리로 27
 
1.0%
Other values (276) 721
26.7%
2024-05-18T12:34:27.565684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2387
16.6%
2346
16.3%
동 1019
 
7.1%
성 772
 
5.4%
, 483
 
3.4%
서 455
 
3.2%
울 441
 
3.1%
시 425
 
3.0%
( 425
 
3.0%
) 425
 
3.0%
Other values (231) 5191
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7943
55.3%
Other Punctuation 2981
 
20.7%
Space Separator 2346
 
16.3%
Open Punctuation 425
 
3.0%
Close Punctuation 425
 
3.0%
Uppercase Letter 135
 
0.9%
Dash Punctuation 85
 
0.6%
Lowercase Letter 23
 
0.2%
Decimal Number 5
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1019
 
12.8%
성 772
 
9.7%
서 455
 
5.7%
울 441
 
5.6%
시 425
 
5.4%
구 417
 
5.2%
별 417
 
5.2%
특 416
 
5.2%
수 346
 
4.4%
로 327
 
4.1%
Other values (188) 2908
36.6%
Uppercase Letter
ValueCountFrequency (%)
E 17
12.6%
T 14
10.4%
S 11
 
8.1%
K 11
 
8.1%
A 10
 
7.4%
R 10
 
7.4%
V 9
 
6.7%
B 9
 
6.7%
O 7
 
5.2%
C 5
 
3.7%
Other values (11) 32
23.7%
Lowercase Letter
ValueCountFrequency (%)
e 5
21.7%
o 5
21.7%
r 4
17.4%
w 3
13.0%
h 1
 
4.3%
p 1
 
4.3%
m 1
 
4.3%
a 1
 
4.3%
t 1
 
4.3%
b 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
* 2387
80.1%
, 483
 
16.2%
. 110
 
3.7%
/ 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
1 2
40.0%
4 1
20.0%
Space Separator
ValueCountFrequency (%)
2346
100.0%
Open Punctuation
ValueCountFrequency (%)
( 425
100.0%
Close Punctuation
ValueCountFrequency (%)
) 425
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7943
55.3%
Common 6267
43.6%
Latin 159
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1019
 
12.8%
성 772
 
9.7%
서 455
 
5.7%
울 441
 
5.6%
시 425
 
5.4%
구 417
 
5.2%
별 417
 
5.2%
특 416
 
5.2%
수 346
 
4.4%
로 327
 
4.1%
Other values (188) 2908
36.6%
Latin
ValueCountFrequency (%)
E 17
 
10.7%
T 14
 
8.8%
S 11
 
6.9%
K 11
 
6.9%
A 10
 
6.3%
R 10
 
6.3%
V 9
 
5.7%
B 9
 
5.7%
O 7
 
4.4%
e 5
 
3.1%
Other values (22) 56
35.2%
Common
ValueCountFrequency (%)
* 2387
38.1%
2346
37.4%
, 483
 
7.7%
( 425
 
6.8%
) 425
 
6.8%
. 110
 
1.8%
- 85
 
1.4%
2 2
 
< 0.1%
1 2
 
< 0.1%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7943
55.3%
ASCII 6425
44.7%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2387
37.2%
2346
36.5%
, 483
 
7.5%
( 425
 
6.6%
) 425
 
6.6%
. 110
 
1.7%
- 85
 
1.3%
E 17
 
0.3%
T 14
 
0.2%
S 11
 
0.2%
Other values (32) 122
 
1.9%
Hangul
ValueCountFrequency (%)
동 1019
 
12.8%
성 772
 
9.7%
서 455
 
5.7%
울 441
 
5.6%
시 425
 
5.4%
구 417
 
5.2%
별 417
 
5.2%
특 416
 
5.2%
수 346
 
4.4%
로 327
 
4.1%
Other values (188) 2908
36.6%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)40.6%
Missing306
Missing (%)63.0%
Infinite0
Infinite (%)0.0%
Mean29829.456
Minimum4701
Maximum133872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-18T12:34:28.095149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4701
5-th percentile4714.95
Q14779
median4793
Q34802
95-th percentile133831.05
Maximum133872
Range129171
Interquartile range (IQR)23

Descriptive statistics

Standard deviation51125.499
Coefficient of variation (CV)1.7139267
Kurtosis0.42937136
Mean29829.456
Median Absolute Deviation (MAD)11.5
Skewness1.5571344
Sum5369302
Variance2.6138167 × 109
MonotonicityNot monotonic
2024-05-18T12:34:28.784113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4793 14
 
2.9%
4782 9
 
1.9%
4778 8
 
1.6%
4799 7
 
1.4%
4779 5
 
1.0%
4798 5
 
1.0%
133120 5
 
1.0%
4797 5
 
1.0%
4790 5
 
1.0%
4787 5
 
1.0%
Other values (63) 112
 
23.0%
(Missing) 306
63.0%
ValueCountFrequency (%)
4701 1
0.2%
4704 1
0.2%
4705 1
0.2%
4707 2
0.4%
4708 1
0.2%
4709 1
0.2%
4710 1
0.2%
4714 1
0.2%
4715 2
0.4%
4717 1
0.2%
ValueCountFrequency (%)
133872 1
0.2%
133868 1
0.2%
133867 1
0.2%
133850 1
0.2%
133835 1
0.2%
133834 1
0.2%
133833 2
0.4%
133832 1
0.2%
133831 2
0.4%
133828 1
0.2%

사업장명
Text

Distinct462
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-05-18T12:34:29.707877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length6.255144
Min length2

Characters and Unicode

Total characters3040
Distinct characters356
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique439 ?
Unique (%)90.3%

Sample

1st row대우광고
2nd row세일기업
3rd row화인광고
4th row세계기획
5th row그린광고
ValueCountFrequency (%)
주식회사 31
 
5.7%
주 6
 
1.1%
신영공사 3
 
0.6%
주식회사앤드위 2
 
0.4%
탑애드 2
 
0.4%
메가박스중앙(주 2
 
0.4%
하늘디자인 2
 
0.4%
한양기획 2
 
0.4%
아이비전 2
 
0.4%
브이씨엔씨 2
 
0.4%
Other values (469) 486
90.0%
2024-05-18T12:34:31.031781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 192
 
6.3%
) 157
 
5.2%
( 157
 
5.2%
기 93
 
3.1%
인 91
 
3.0%
이 84
 
2.8%
획 79
 
2.6%
스 79
 
2.6%
사 73
 
2.4%
드 72
 
2.4%
Other values (346) 1963
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2603
85.6%
Close Punctuation 157
 
5.2%
Open Punctuation 157
 
5.2%
Space Separator 54
 
1.8%
Uppercase Letter 31
 
1.0%
Lowercase Letter 16
 
0.5%
Decimal Number 13
 
0.4%
Dash Punctuation 6
 
0.2%
Other Punctuation 2
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 192
 
7.4%
기 93
 
3.6%
인 91
 
3.5%
이 84
 
3.2%
획 79
 
3.0%
스 79
 
3.0%
사 73
 
2.8%
드 72
 
2.8%
광 69
 
2.7%
디 68
 
2.6%
Other values (307) 1703
65.4%
Uppercase Letter
ValueCountFrequency (%)
S 4
12.9%
M 3
9.7%
I 3
9.7%
N 3
9.7%
C 2
 
6.5%
G 2
 
6.5%
Y 2
 
6.5%
D 2
 
6.5%
R 2
 
6.5%
A 1
 
3.2%
Other values (7) 7
22.6%
Lowercase Letter
ValueCountFrequency (%)
n 3
18.8%
s 3
18.8%
i 2
12.5%
c 2
12.5%
e 1
 
6.2%
p 1
 
6.2%
a 1
 
6.2%
o 1
 
6.2%
j 1
 
6.2%
t 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 4
30.8%
2 3
23.1%
8 2
15.4%
0 2
15.4%
6 1
 
7.7%
3 1
 
7.7%
Close Punctuation
ValueCountFrequency (%)
) 157
100.0%
Open Punctuation
ValueCountFrequency (%)
( 157
100.0%
Space Separator
ValueCountFrequency (%)
54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2604
85.7%
Common 389
 
12.8%
Latin 47
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 192
 
7.4%
기 93
 
3.6%
인 91
 
3.5%
이 84
 
3.2%
획 79
 
3.0%
스 79
 
3.0%
사 73
 
2.8%
드 72
 
2.8%
광 69
 
2.6%
디 68
 
2.6%
Other values (308) 1704
65.4%
Latin
ValueCountFrequency (%)
S 4
 
8.5%
M 3
 
6.4%
I 3
 
6.4%
N 3
 
6.4%
n 3
 
6.4%
s 3
 
6.4%
i 2
 
4.3%
c 2
 
4.3%
C 2
 
4.3%
G 2
 
4.3%
Other values (17) 20
42.6%
Common
ValueCountFrequency (%)
) 157
40.4%
( 157
40.4%
54
 
13.9%
- 6
 
1.5%
1 4
 
1.0%
2 3
 
0.8%
. 2
 
0.5%
8 2
 
0.5%
0 2
 
0.5%
6 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2603
85.6%
ASCII 436
 
14.3%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 192
 
7.4%
기 93
 
3.6%
인 91
 
3.5%
이 84
 
3.2%
획 79
 
3.0%
스 79
 
3.0%
사 73
 
2.8%
드 72
 
2.8%
광 69
 
2.7%
디 68
 
2.6%
Other values (307) 1703
65.4%
ASCII
ValueCountFrequency (%)
) 157
36.0%
( 157
36.0%
54
 
12.4%
- 6
 
1.4%
1 4
 
0.9%
S 4
 
0.9%
M 3
 
0.7%
I 3
 
0.7%
N 3
 
0.7%
2 3
 
0.7%
Other values (28) 42
 
9.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

Distinct356
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum2003-12-30 00:00:00
Maximum2024-05-14 11:03:16
2024-05-18T12:34:31.561785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:34:32.141274image/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 size3.9 KiB
I
318 
U
168 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 318
65.4%
U 168
34.6%

Length

2024-05-18T12:34:32.711333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:34:33.014109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 318
65.4%
u 168
34.6%

데이터갱신일자
Date

Distinct136
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-18T12:34:33.340210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T12:34:33.886012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing486
Missing (%)100.0%
Memory size4.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct348
Distinct (%)77.5%
Missing37
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean204259.24
Minimum200896.53
Maximum208492.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-18T12:34:34.563192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200896.53
5-th percentile201998.73
Q1203645.93
median204489.12
Q3205170.45
95-th percentile205773.88
Maximum208492.03
Range7595.4942
Interquartile range (IQR)1524.5141

Descriptive statistics

Standard deviation1174.0815
Coefficient of variation (CV)0.005747997
Kurtosis0.21638865
Mean204259.24
Median Absolute Deviation (MAD)725.57147
Skewness-0.63237652
Sum91712398
Variance1378467.3
MonotonicityNot monotonic
2024-05-18T12:34:35.107608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205998.771205178 5
 
1.0%
205184.716063461 5
 
1.0%
205285.668276206 4
 
0.8%
204495.650175932 4
 
0.8%
205302.786652337 4
 
0.8%
204398.359448709 3
 
0.6%
204515.913803558 3
 
0.6%
205423.301382059 3
 
0.6%
205316.549777964 3
 
0.6%
205525.616970821 3
 
0.6%
Other values (338) 412
84.8%
(Missing) 37
 
7.6%
ValueCountFrequency (%)
200896.532906303 1
0.2%
201084.709621627 1
0.2%
201165.950245642 1
0.2%
201178.703715 1
0.2%
201222.07429303 1
0.2%
201288.808106586 1
0.2%
201380.552670567 1
0.2%
201381.261390607 1
0.2%
201391.818790391 1
0.2%
201395.517825558 1
0.2%
ValueCountFrequency (%)
208492.027115949 1
 
0.2%
206831.407942062 1
 
0.2%
206360.384601472 1
 
0.2%
206243.875021499 2
 
0.4%
206172.562246498 1
 
0.2%
206112.681512323 1
 
0.2%
206111.359005992 1
 
0.2%
206016.020665011 1
 
0.2%
206006.40008527 1
 
0.2%
205998.771205178 5
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct348
Distinct (%)77.5%
Missing37
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean449809.39
Minimum446159.64
Maximum452127.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-05-18T12:34:35.538706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446159.64
5-th percentile448525.41
Q1449028.43
median449482.03
Q3450919.62
95-th percentile451641.97
Maximum452127.75
Range5968.1098
Interquartile range (IQR)1891.1838

Descriptive statistics

Standard deviation1063.24
Coefficient of variation (CV)0.0023637568
Kurtosis-0.67904301
Mean449809.39
Median Absolute Deviation (MAD)573.26927
Skewness0.55378307
Sum2.0196442 × 108
Variance1130479.3
MonotonicityNot monotonic
2024-05-18T12:34:36.061791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449867.30422007 5
 
1.0%
451050.148324829 5
 
1.0%
449135.382261814 4
 
0.8%
449405.611643886 4
 
0.8%
448762.91247979 4
 
0.8%
449143.242118345 3
 
0.6%
451629.067592802 3
 
0.6%
450954.711813272 3
 
0.6%
448781.426141548 3
 
0.6%
449394.284127151 3
 
0.6%
Other values (338) 412
84.8%
(Missing) 37
 
7.6%
ValueCountFrequency (%)
446159.639548034 1
0.2%
448192.323384407 1
0.2%
448236.898652205 1
0.2%
448258.515774754 1
0.2%
448266.234571726 1
0.2%
448268.896067474 1
0.2%
448284.070227546 1
0.2%
448287.786776242 1
0.2%
448292.710721862 1
0.2%
448298.930742032 1
0.2%
ValueCountFrequency (%)
452127.749317533 1
0.2%
452095.534145692 1
0.2%
452078.470105803 2
0.4%
452063.440192474 1
0.2%
451992.283011242 1
0.2%
451973.554709895 1
0.2%
451929.767218296 1
0.2%
451852.566386554 1
0.2%
451844.484584855 1
0.2%
451829.35434128 1
0.2%

영업내용
Text

MISSING 

Distinct159
Distinct (%)36.4%
Missing49
Missing (%)10.1%
Memory size3.9 KiB
2024-05-18T12:34:36.739499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length9
Mean length9.7803204
Min length1

Characters and Unicode

Total characters4274
Distinct characters153
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

Unique135 ?
Unique (%)30.9%

Sample

1st row간판제작 및 대행
2nd row간판제작 및 대행
3rd row간판제작 및 대행
4th row간판제작 및 대행
5th row간판제작 및 대행
ValueCountFrequency (%)
및 259
22.6%
대행 229
20.0%
간판제작 209
18.3%
제작 61
 
5.3%
옥외광고물 38
 
3.3%
광고물제작 33
 
2.9%
광고물 25
 
2.2%
광고대행 20
 
1.7%
간판 17
 
1.5%
옥외광고업 16
 
1.4%
Other values (141) 237
20.7%
2024-05-18T12:34:37.773968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
707
16.5%
제 370
 
8.7%
작 350
 
8.2%
대 278
 
6.5%
행 276
 
6.5%
및 275
 
6.4%
판 253
 
5.9%
간 245
 
5.7%
광 235
 
5.5%
고 229
 
5.4%
Other values (143) 1056
24.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3401
79.6%
Space Separator 707
 
16.5%
Other Punctuation 101
 
2.4%
Decimal Number 18
 
0.4%
Open Punctuation 15
 
0.4%
Close Punctuation 15
 
0.4%
Uppercase Letter 8
 
0.2%
Lowercase Letter 8
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 370
10.9%
작 350
10.3%
대 278
 
8.2%
행 276
 
8.1%
및 275
 
8.1%
판 253
 
7.4%
간 245
 
7.2%
광 235
 
6.9%
고 229
 
6.7%
물 143
 
4.2%
Other values (118) 747
22.0%
Decimal Number
ValueCountFrequency (%)
1 10
55.6%
8 3
 
16.7%
3 2
 
11.1%
7 1
 
5.6%
0 1
 
5.6%
4 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
d 2
25.0%
e 2
25.0%
n 1
12.5%
i 1
12.5%
s 1
12.5%
g 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
L 3
37.5%
P 2
25.0%
E 1
 
12.5%
D 1
 
12.5%
O 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 72
71.3%
. 18
 
17.8%
/ 7
 
6.9%
: 4
 
4.0%
Space Separator
ValueCountFrequency (%)
707
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3401
79.6%
Common 857
 
20.1%
Latin 16
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 370
10.9%
작 350
10.3%
대 278
 
8.2%
행 276
 
8.1%
및 275
 
8.1%
판 253
 
7.4%
간 245
 
7.2%
광 235
 
6.9%
고 229
 
6.7%
물 143
 
4.2%
Other values (118) 747
22.0%
Common
ValueCountFrequency (%)
707
82.5%
, 72
 
8.4%
. 18
 
2.1%
( 15
 
1.8%
) 15
 
1.8%
1 10
 
1.2%
/ 7
 
0.8%
: 4
 
0.5%
8 3
 
0.4%
3 2
 
0.2%
Other values (4) 4
 
0.5%
Latin
ValueCountFrequency (%)
L 3
18.8%
P 2
12.5%
d 2
12.5%
e 2
12.5%
n 1
 
6.2%
i 1
 
6.2%
s 1
 
6.2%
g 1
 
6.2%
E 1
 
6.2%
D 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3401
79.6%
ASCII 873
 
20.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
707
81.0%
, 72
 
8.2%
. 18
 
2.1%
( 15
 
1.7%
) 15
 
1.7%
1 10
 
1.1%
/ 7
 
0.8%
: 4
 
0.5%
8 3
 
0.3%
L 3
 
0.3%
Other values (15) 19
 
2.2%
Hangul
ValueCountFrequency (%)
제 370
10.9%
작 350
10.3%
대 278
 
8.2%
행 276
 
8.1%
및 275
 
8.1%
판 253
 
7.4%
간 245
 
7.2%
광 235
 
6.9%
고 229
 
6.7%
물 143
 
4.2%
Other values (118) 747
22.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
03030000198830301100850001119880705<NA>3폐업40폐업20130313<NA><NA><NA>22932346<NA><NA>서울특별시 성동구 행당동 ***-*번지 *통*반 . *동 *호<NA><NA>대우광고2013-03-13 18:17:09I2018-08-31 23:59:59.0<NA><NA><NA>간판제작 및 대행
13030000198830301100850001419880705<NA>3폐업40폐업20030220<NA><NA><NA>02-2294-5951<NA><NA>서울특별시 성동구 마장동 ***-*번지 **통*반 . *동 *호서울특별시 성동구 마장로 ***-*, *동 *호 (마장동,.)<NA>세일기업2007-12-18 14:26:05I2018-08-31 23:59:59.0<NA>203592.467157451450.996445간판제작 및 대행
23030000198830301100850002919881006<NA>3폐업40폐업20090506<NA><NA><NA>22955201<NA><NA>서울특별시 성동구 마장동 ***-**번지 *통*반 . *동 *호<NA><NA>화인광고2009-05-06 11:47:21I2018-08-31 23:59:59.0<NA>203154.855724451992.283011간판제작 및 대행
33030000198930301100850003919890501<NA>3폐업40폐업20020219<NA><NA><NA>02-2295-2732<NA><NA>서울특별시 성동구 행당동 ***-***번지 *통*반 . *동 *호서울특별시 성동구 왕십리로 ***, *동 *호 (행당동,.)<NA>세계기획2007-12-18 14:26:05I2018-08-31 23:59:59.0<NA>203242.77576450703.100047간판제작 및 대행
43030000199030301100850008019901024<NA>3폐업40폐업20220110<NA><NA><NA>463 9702<NA><NA>서울특별시 성동구 송정동 **-**서울특별시 성동구 동일로 *** (송정동)4801그린광고2022-01-12 19:09:16U2022-01-14 02:40:00.0<NA>205998.771205449867.30422간판제작 및 대행
53030000199030301100850008219901027<NA>3폐업40폐업20081203<NA><NA><NA><NA><NA><NA>서울특별시 성동구 도선동 **-*번지 *통*반 신한넥스텔 **** *동 *호서울특별시 성동구 고산자로 ***, *동 *호 (도선동,신한넥스텔 ****)<NA>명일기획2009-02-05 15:56:05I2018-08-31 23:59:59.0<NA>203089.863865451271.366166간판제작 및 대행
63030000199130301100850009119910118<NA>3폐업40폐업<NA><NA><NA><NA>463 6338<NA><NA>서울특별시 성동구 성수동*가 ***-*번지 *통*반 . ***동 *호서울특별시 성동구 성덕정길 ***, ***동 *호 (성수동*가,.)<NA>성우사2012-01-30 10:05:11I2018-08-31 23:59:59.0<NA>205125.375403448268.896067간판제작 및 대행
73030000199130301100850009619910130<NA>3폐업40폐업20090319<NA><NA><NA><NA><NA><NA>서울특별시 성동구 하왕십리동 ***-**번지 *통*반 . *동 *호<NA><NA>대우디자인2009-03-19 13:49:23I2018-08-31 23:59:59.0<NA><NA><NA>간판제작 및 대행
83030000199130301100850010519910323<NA>1영업/정상20정상<NA><NA><NA><NA>22958444<NA><NA>서울특별시 성동구 도선동 ***번지서울특별시 성동구 무학로*길 **-* (도선동)4708아세아광고2019-12-24 09:57:47U2019-12-26 02:40:00.0<NA>202953.323102451370.420938간판제작 및 대행
93030000199130301100850010819910423<NA>3폐업40폐업20011224<NA><NA><NA>02-469-0919<NA><NA>서울특별시 성동구 성수동*가 ***-**번지 *통*반 . *동 *호서울특별시 성동구 성덕정**길 *-*, *동 *호 (성수동*가,.)<NA>베드로광고2007-12-18 14:26:05I2018-08-31 23:59:59.0<NA>204824.024968448378.999418간판제작 및 대행
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
476303000020233030141085000062023-07-07<NA>1영업/정상20정상<NA><NA><NA><NA>02 4653100<NA><NA>서울특별시 성동구 성수동*가 ***-*서울특별시 성동구 아차산로 ***, 삼영빌딩 (성수동*가)4782이피코리아 주식회사2023-12-04 15:47:54U2022-11-02 00:06:00.0<NA>204934.166661449083.056771<NA>
477303000020233030141085000072023-07-21<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-*** 서울숲A타워 ***호서울특별시 성동구 상원*길 **, 서울숲A타워 ***호 (성수동*가)4779(주)인컴이즈2023-07-23 20:14:09U2022-12-06 22:05:00.0<NA>204229.70374449325.484844<NA>
478303000020233030141085000082024-03-14<NA>1영업/정상20정상<NA><NA><NA><NA>07040473708<NA><NA>서울특별시 성동구 성수동*가 **-** *층서울특별시 성동구 상원길 **, *층 (성수동*가)4779브이씨엔씨 주식회사2024-03-15 12:40:53U2023-12-02 23:07:00.0<NA>204278.005501449336.71561<NA>
479303000020233030141085000092022-12-22<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** 하우스디 세종타워 ***호서울특별시 성동구 성수일로**길 **, 하우스디 세종타워 *층 ***호 (성수동*가)4793주식회사 프리다츠2023-11-17 15:30:18I2022-10-31 23:09:00.0<NA>204607.548949449380.324793<NA>
480303000020233030141085000102023-11-22<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 하왕십리동 **** 센트라스 ***호서울특별시 성동구 왕십리로 ***, *층 ***호 (하왕십리동, 센트라스)4701시선316 주식회사2023-11-23 20:08:20I2022-10-31 22:05:00.0<NA>202372.912024451536.680877<NA>
481303000020233030141085000112022-03-15<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-**서울특별시 성동구 서울숲길 **, *층 ***호 (성수동*가)4766(주)진모빌리티2023-12-28 14:50:35I2022-11-01 21:00:00.0<NA>203645.932154449557.255937<NA>
482303000020243030141085000012024-01-08<NA>1영업/정상20정상<NA><NA><NA><NA>025692431<NA><NA>서울특별시 성동구 성수동*가 ***-*** 노벨빌딩서울특별시 성동구 왕십리로 **, 노벨빌딩 *층 (성수동*가)4778임팩트웨이브 주식회사2024-01-09 10:05:45I2023-11-30 23:01:00.0<NA>203973.590047449216.685149<NA>
483303000020243030141085000022024-03-27<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** UHAN TOWER(유한타워)서울특별시 성동구 성수일로 **, UHAN TOWER(유한타워) (성수동*가)4779주식회사 윙크컴퍼니2024-03-29 09:01:47U2023-12-02 21:01:00.0<NA>204227.393921448904.13736<NA>
484303000020243030141085000032024-04-11<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 *** 성수 SK V* CENTER I서울특별시 성동구 아차산로**길 **, 성수 SK V* CENTER I (성수동*가)4799퍼펭 주식회사2024-04-15 08:19:23I2023-12-03 23:07:00.0<NA>205773.876761449380.832286<NA>
485303000020243030141085000042024-05-13<NA>1영업/정상20정상<NA><NA><NA><NA>02 508 7871<NA><NA>서울특별시 성동구 성수동*가 ***-*** 갤러리아 포레서울특별시 성동구 서울숲*길 **-**, ***동 ***층 (성수동*가, 갤러리아 포레)4769(주)샘파트너스2024-05-14 11:03:16I2023-12-04 23:06:00.0<NA>203684.281166449280.975212<NA>