Overview

Dataset statistics

Number of variables26
Number of observations423
Missing cells3193
Missing cells (%)29.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory90.6 KiB
Average record size in memory219.3 B

Variable types

Categorical7
Numeric3
DateTime6
Unsupported4
Text6

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),영업내용
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-17851/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (57.5%)Imbalance
영업상태명 is highly imbalanced (57.5%)Imbalance
상세영업상태코드 is highly imbalanced (57.5%)Imbalance
상세영업상태명 is highly imbalanced (57.5%)Imbalance
재개업일자 is highly imbalanced (97.0%)Imbalance
인허가취소일자 has 423 (100.0%) missing valuesMissing
폐업일자 has 99 (23.4%) missing valuesMissing
휴업시작일자 has 418 (98.8%) missing valuesMissing
휴업종료일자 has 419 (99.1%) missing valuesMissing
전화번호 has 84 (19.9%) missing valuesMissing
소재지면적 has 423 (100.0%) missing valuesMissing
소재지우편번호 has 423 (100.0%) missing valuesMissing
도로명주소 has 40 (9.5%) missing valuesMissing
도로명우편번호 has 260 (61.5%) missing valuesMissing
업태구분명 has 423 (100.0%) missing valuesMissing
좌표정보(X) has 32 (7.6%) missing valuesMissing
좌표정보(Y) has 32 (7.6%) missing valuesMissing
영업내용 has 116 (27.4%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 10:22:54.616616
Analysis finished2024-04-06 10:22:55.489075
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
3240000
423 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 423
100.0%

Length

2024-04-06T19:22:55.618188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:22:55.783430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 423
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct423
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0041633 × 1018
Minimum1.988324 × 1018
Maximum2.024324 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-06T19:22:55.976676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.988324 × 1018
5-th percentile1.988324 × 1018
Q12.000324 × 1018
median2.003324 × 1018
Q32.008324 × 1018
95-th percentile2.020324 × 1018
Maximum2.024324 × 1018
Range3.6000015 × 1016
Interquartile range (IQR)8.0000062 × 1015

Descriptive statistics

Standard deviation8.3432139 × 1015
Coefficient of variation (CV)0.0041629412
Kurtosis-0.15324415
Mean2.0041633 × 1018
Median Absolute Deviation (MAD)4.0000052 × 1015
Skewness0.20345164
Sum-7.8917069 × 1017
Variance6.9609218 × 1031
MonotonicityStrictly increasing
2024-04-06T19:22:56.233589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1988324008708200001 1
 
0.2%
2007324014308200005 1
 
0.2%
2007324014308200003 1
 
0.2%
2007324014308200002 1
 
0.2%
2007324014308200001 1
 
0.2%
2006324012108200018 1
 
0.2%
2006324012108200017 1
 
0.2%
2006324012108200016 1
 
0.2%
2006324012108200015 1
 
0.2%
2006324012108200014 1
 
0.2%
Other values (413) 413
97.6%
ValueCountFrequency (%)
1988324008708200001 1
0.2%
1988324008708200002 1
0.2%
1988324008708200003 1
0.2%
1988324008708200005 1
0.2%
1988324008708200007 1
0.2%
1988324008708200008 1
0.2%
1988324008708200010 1
0.2%
1988324008708200011 1
0.2%
1988324008708200012 1
0.2%
1988324008708200013 1
0.2%
ValueCountFrequency (%)
2024324024008500001 1
0.2%
2023324024008500004 1
0.2%
2023324024008500003 1
0.2%
2023324024008500002 1
0.2%
2023324024008500001 1
0.2%
2022324024008500004 1
0.2%
2022324024008500003 1
0.2%
2022324024008500002 1
0.2%
2022324024008500001 1
0.2%
2021324024008500009 1
0.2%

인허가일자
Date

Distinct371
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum1988-07-14 00:00:00
Maximum2023-11-02 00:00:00
2024-04-06T19:22:56.530710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:22:56.755652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing423
Missing (%)100.0%
Memory size3.8 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
3
324 
1
95 
2
 
3
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 324
76.6%
1 95
 
22.5%
2 3
 
0.7%
4 1
 
0.2%

Length

2024-04-06T19:22:57.000990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:22:57.206656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 324
76.6%
1 95
 
22.5%
2 3
 
0.7%
4 1
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
폐업
324 
영업/정상
95 
휴업
 
3
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length2.7021277
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 324
76.6%
영업/정상 95
 
22.5%
휴업 3
 
0.7%
취소/말소/만료/정지/중지 1
 
0.2%

Length

2024-04-06T19:22:57.400268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:22:57.638448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 324
76.6%
영업/정상 95
 
22.5%
휴업 3
 
0.7%
취소/말소/만료/정지/중지 1
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
40
324 
20
95 
30
 
3
70
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
40 324
76.6%
20 95
 
22.5%
30 3
 
0.7%
70 1
 
0.2%

Length

2024-04-06T19:22:57.837374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:22:58.025179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 324
76.6%
20 95
 
22.5%
30 3
 
0.7%
70 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
폐업
324 
정상
95 
휴업
 
3
취소
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 324
76.6%
정상 95
 
22.5%
휴업 3
 
0.7%
취소 1
 
0.2%

Length

2024-04-06T19:22:58.173758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:22:58.326539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 324
76.6%
정상 95
 
22.5%
휴업 3
 
0.7%
취소 1
 
0.2%

폐업일자
Date

MISSING 

Distinct197
Distinct (%)60.8%
Missing99
Missing (%)23.4%
Memory size3.4 KiB
Minimum2001-07-04 00:00:00
Maximum2023-10-23 00:00:00
2024-04-06T19:22:58.540296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:22:58.797395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing418
Missing (%)98.8%
Memory size3.4 KiB
Minimum2012-05-11 00:00:00
Maximum2023-03-07 00:00:00
2024-04-06T19:22:59.057781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:22:59.222731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴업종료일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing419
Missing (%)99.1%
Memory size3.4 KiB
Minimum2013-12-31 00:00:00
Maximum2028-03-05 00:00:00
2024-04-06T19:22:59.406329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:22:59.693742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

재개업일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
421 
20131014
 
1
20100114
 
1

Length

Max length8
Median length4
Mean length4.0189125
Min length4

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 421
99.5%
20131014 1
 
0.2%
20100114 1
 
0.2%

Length

2024-04-06T19:22:59.942771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:23:00.204559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 421
99.5%
20131014 1
 
0.2%
20100114 1
 
0.2%

전화번호
Text

MISSING 

Distinct317
Distinct (%)93.5%
Missing84
Missing (%)19.9%
Memory size3.4 KiB
2024-04-06T19:23:00.640054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.746313
Min length2

Characters and Unicode

Total characters3643
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

Unique300 ?
Unique (%)88.5%

Sample

1st row02 477 1808
2nd row02 4821344
3rd row02 484 7050
4th row02 478 3771
5th row02 4700489
ValueCountFrequency (%)
02 309
39.1%
477 14
 
1.8%
473 10
 
1.3%
486 9
 
1.1%
471 8
 
1.0%
474 7
 
0.9%
484 7
 
0.9%
470 7
 
0.9%
478 6
 
0.8%
472 6
 
0.8%
Other values (349) 407
51.5%
2024-04-06T19:23:01.890559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
586
16.1%
2 553
15.2%
0 525
14.4%
4 495
13.6%
7 346
9.5%
8 297
8.2%
1 197
 
5.4%
3 174
 
4.8%
5 170
 
4.7%
6 167
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3057
83.9%
Space Separator 586
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 553
18.1%
0 525
17.2%
4 495
16.2%
7 346
11.3%
8 297
9.7%
1 197
 
6.4%
3 174
 
5.7%
5 170
 
5.6%
6 167
 
5.5%
9 133
 
4.4%
Space Separator
ValueCountFrequency (%)
586
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3643
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
586
16.1%
2 553
15.2%
0 525
14.4%
4 495
13.6%
7 346
9.5%
8 297
8.2%
1 197
 
5.4%
3 174
 
4.8%
5 170
 
4.7%
6 167
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3643
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
586
16.1%
2 553
15.2%
0 525
14.4%
4 495
13.6%
7 346
9.5%
8 297
8.2%
1 197
 
5.4%
3 174
 
4.8%
5 170
 
4.7%
6 167
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing423
Missing (%)100.0%
Memory size3.8 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing423
Missing (%)100.0%
Memory size3.8 KiB

지번주소
Text

Distinct161
Distinct (%)38.2%
Missing1
Missing (%)0.2%
Memory size3.4 KiB
2024-04-06T19:23:02.263066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length35
Mean length23.014218
Min length14

Characters and Unicode

Total characters9712
Distinct characters127
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

Unique109 ?
Unique (%)25.8%

Sample

1st row서울특별시 강동구 길동 ***-** 정일빌라 *동 ***호
2nd row서울특별시 강동구 천호동 ***-**번지
3rd row서울특별시 강동구 성내동 ***-**번지
4th row서울특별시 강동구 천호동 ***-**
5th row서울특별시 강동구 천호동 ***-*번지
ValueCountFrequency (%)
서울특별시 421
22.9%
강동구 420
22.9%
번지 312
17.0%
성내동 128
 
7.0%
108
 
5.9%
천호동 100
 
5.4%
길동 90
 
4.9%
호 49
 
2.7%
암사동 33
 
1.8%
둔촌동 30
 
1.6%
Other values (80) 146
 
7.9%
2024-04-06T19:23:02.976796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1986
20.4%
1756
18.1%
동 855
 
8.8%
강 428
 
4.4%
시 423
 
4.4%
서 422
 
4.3%
구 422
 
4.3%
울 421
 
4.3%
별 421
 
4.3%
특 421
 
4.3%
Other values (117) 2157
22.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5577
57.4%
Other Punctuation 1986
 
20.4%
Space Separator 1756
 
18.1%
Dash Punctuation 375
 
3.9%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%
Uppercase Letter 5
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 855
15.3%
강 428
 
7.7%
시 423
 
7.6%
서 422
 
7.6%
구 422
 
7.6%
울 421
 
7.5%
별 421
 
7.5%
특 421
 
7.5%
지 320
 
5.7%
번 312
 
5.6%
Other values (108) 1132
20.3%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
A 1
 
20.0%
C 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
* 1986
100.0%
Space Separator
ValueCountFrequency (%)
1756
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 375
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5577
57.4%
Common 4129
42.5%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 855
15.3%
강 428
 
7.7%
시 423
 
7.6%
서 422
 
7.6%
구 422
 
7.6%
울 421
 
7.5%
별 421
 
7.5%
특 421
 
7.5%
지 320
 
5.7%
번 312
 
5.6%
Other values (108) 1132
20.3%
Common
ValueCountFrequency (%)
* 1986
48.1%
1756
42.5%
- 375
 
9.1%
( 6
 
0.1%
) 6
 
0.1%
Latin
ValueCountFrequency (%)
B 3
50.0%
b 1
 
16.7%
A 1
 
16.7%
C 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5577
57.4%
ASCII 4135
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1986
48.0%
1756
42.5%
- 375
 
9.1%
( 6
 
0.1%
) 6
 
0.1%
B 3
 
0.1%
b 1
 
< 0.1%
A 1
 
< 0.1%
C 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
동 855
15.3%
강 428
 
7.7%
시 423
 
7.6%
서 422
 
7.6%
구 422
 
7.6%
울 421
 
7.5%
별 421
 
7.5%
특 421
 
7.5%
지 320
 
5.7%
번 312
 
5.6%
Other values (108) 1132
20.3%

도로명주소
Text

MISSING 

Distinct257
Distinct (%)67.1%
Missing40
Missing (%)9.5%
Memory size3.4 KiB
2024-04-06T19:23:03.363309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length41
Mean length27.48564
Min length21

Characters and Unicode

Total characters10527
Distinct characters141
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

Unique199 ?
Unique (%)52.0%

Sample

1st row서울특별시 강동구 천호대로***길 **, *동 ***호 (길동,정일빌라)
2nd row서울특별시 강동구 천호대로***길 ** (천호동)
3rd row서울특별시 강동구 성안로 ** (성내동)
4th row서울특별시 강동구 올림픽로**길 * (천호동)
5th row서울특별시 강동구 양재대로***길 ** (명일동)
ValueCountFrequency (%)
383
18.7%
서울특별시 382
18.6%
강동구 382
18.6%
성내동 105
 
5.1%
천호동 83
 
4.0%
길동 75
 
3.7%
호 54
 
2.6%
양재대로***길 32
 
1.6%
암사동 27
 
1.3%
둔촌동 25
 
1.2%
Other values (129) 502
24.5%
2024-04-06T19:23:03.997300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1863
17.7%
* 1627
15.5%
동 796
 
7.6%
구 414
 
3.9%
강 399
 
3.8%
) 386
 
3.7%
( 386
 
3.7%
시 384
 
3.6%
서 382
 
3.6%
특 382
 
3.6%
Other values (131) 3508
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6095
57.9%
Space Separator 1863
 
17.7%
Other Punctuation 1753
 
16.7%
Close Punctuation 386
 
3.7%
Open Punctuation 386
 
3.7%
Dash Punctuation 37
 
0.4%
Uppercase Letter 6
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 796
13.1%
구 414
 
6.8%
강 399
 
6.5%
시 384
 
6.3%
서 382
 
6.3%
특 382
 
6.3%
별 382
 
6.3%
울 382
 
6.3%
로 371
 
6.1%
길 288
 
4.7%
Other values (120) 1915
31.4%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
R 1
 
16.7%
C 1
 
16.7%
A 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
* 1627
92.8%
, 126
 
7.2%
Space Separator
ValueCountFrequency (%)
1863
100.0%
Close Punctuation
ValueCountFrequency (%)
) 386
100.0%
Open Punctuation
ValueCountFrequency (%)
( 386
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6095
57.9%
Common 4425
42.0%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 796
13.1%
구 414
 
6.8%
강 399
 
6.5%
시 384
 
6.3%
서 382
 
6.3%
특 382
 
6.3%
별 382
 
6.3%
울 382
 
6.3%
로 371
 
6.1%
길 288
 
4.7%
Other values (120) 1915
31.4%
Common
ValueCountFrequency (%)
1863
42.1%
* 1627
36.8%
) 386
 
8.7%
( 386
 
8.7%
, 126
 
2.8%
- 37
 
0.8%
Latin
ValueCountFrequency (%)
B 3
42.9%
R 1
 
14.3%
b 1
 
14.3%
C 1
 
14.3%
A 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6095
57.9%
ASCII 4432
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1863
42.0%
* 1627
36.7%
) 386
 
8.7%
( 386
 
8.7%
, 126
 
2.8%
- 37
 
0.8%
B 3
 
0.1%
R 1
 
< 0.1%
b 1
 
< 0.1%
C 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
동 796
13.1%
구 414
 
6.8%
강 399
 
6.5%
시 384
 
6.3%
서 382
 
6.3%
특 382
 
6.3%
별 382
 
6.3%
울 382
 
6.3%
로 371
 
6.1%
길 288
 
4.7%
Other values (120) 1915
31.4%

도로명우편번호
Text

MISSING 

Distinct108
Distinct (%)66.3%
Missing260
Missing (%)61.5%
Memory size3.4 KiB
2024-04-06T19:23:04.509250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.5828221
Min length5

Characters and Unicode

Total characters910
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

Unique75 ?
Unique (%)46.0%

Sample

1st row05246
2nd row05302
3rd row134808
4th row134814
5th row05385
ValueCountFrequency (%)
134843 5
 
3.1%
05226 4
 
2.5%
05385 4
 
2.5%
05353 4
 
2.5%
134851 4
 
2.5%
134861 4
 
2.5%
134864 4
 
2.5%
134850 3
 
1.8%
134806 3
 
1.8%
05398 3
 
1.8%
Other values (98) 125
76.7%
2024-04-06T19:23:05.306717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 165
18.1%
4 127
14.0%
1 124
13.6%
0 122
13.4%
5 116
12.7%
8 101
11.1%
2 50
 
5.5%
6 40
 
4.4%
9 27
 
3.0%
7 27
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 899
98.8%
Dash Punctuation 11
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 165
18.4%
4 127
14.1%
1 124
13.8%
0 122
13.6%
5 116
12.9%
8 101
11.2%
2 50
 
5.6%
6 40
 
4.4%
9 27
 
3.0%
7 27
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 910
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 165
18.1%
4 127
14.0%
1 124
13.6%
0 122
13.4%
5 116
12.7%
8 101
11.1%
2 50
 
5.5%
6 40
 
4.4%
9 27
 
3.0%
7 27
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 910
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 165
18.1%
4 127
14.0%
1 124
13.6%
0 122
13.4%
5 116
12.7%
8 101
11.1%
2 50
 
5.5%
6 40
 
4.4%
9 27
 
3.0%
7 27
 
3.0%

사업장명
Text

Distinct384
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-04-06T19:23:05.803296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length5.7399527
Min length2

Characters and Unicode

Total characters2428
Distinct characters303
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

Unique349 ?
Unique (%)82.5%

Sample

1st row태성광고
2nd row상신광고
3rd row명성상사
4th row미림광고
5th row현진광고
ValueCountFrequency (%)
주 10
 
2.1%
애드 6
 
1.3%
주식회사 4
 
0.8%
기획 4
 
0.8%
아트피아 3
 
0.6%
디자인 3
 
0.6%
참 3
 
0.6%
대한기획 3
 
0.6%
삼건기획 3
 
0.6%
대성디자인 3
 
0.6%
Other values (399) 433
91.2%
2024-04-06T19:23:06.541833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 122
 
5.0%
고 115
 
4.7%
) 99
 
4.1%
( 99
 
4.1%
주 98
 
4.0%
기 85
 
3.5%
획 76
 
3.1%
인 73
 
3.0%
드 59
 
2.4%
디 58
 
2.4%
Other values (293) 1544
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2122
87.4%
Close Punctuation 99
 
4.1%
Open Punctuation 99
 
4.1%
Space Separator 52
 
2.1%
Uppercase Letter 34
 
1.4%
Lowercase Letter 15
 
0.6%
Decimal Number 4
 
0.2%
Dash Punctuation 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 122
 
5.7%
고 115
 
5.4%
주 98
 
4.6%
기 85
 
4.0%
획 76
 
3.6%
인 73
 
3.4%
드 59
 
2.8%
디 58
 
2.7%
이 57
 
2.7%
스 52
 
2.5%
Other values (263) 1327
62.5%
Uppercase Letter
ValueCountFrequency (%)
D 7
20.6%
E 4
11.8%
I 4
11.8%
N 3
8.8%
M 3
8.8%
S 2
 
5.9%
A 2
 
5.9%
R 2
 
5.9%
P 2
 
5.9%
U 1
 
2.9%
Other values (4) 4
11.8%
Lowercase Letter
ValueCountFrequency (%)
i 3
20.0%
e 2
13.3%
s 2
13.3%
n 2
13.3%
g 2
13.3%
r 1
 
6.7%
o 1
 
6.7%
h 1
 
6.7%
a 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2122
87.4%
Common 257
 
10.6%
Latin 49
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 122
 
5.7%
고 115
 
5.4%
주 98
 
4.6%
기 85
 
4.0%
획 76
 
3.6%
인 73
 
3.4%
드 59
 
2.8%
디 58
 
2.7%
이 57
 
2.7%
스 52
 
2.5%
Other values (263) 1327
62.5%
Latin
ValueCountFrequency (%)
D 7
14.3%
E 4
 
8.2%
I 4
 
8.2%
N 3
 
6.1%
M 3
 
6.1%
i 3
 
6.1%
S 2
 
4.1%
e 2
 
4.1%
A 2
 
4.1%
R 2
 
4.1%
Other values (13) 17
34.7%
Common
ValueCountFrequency (%)
) 99
38.5%
( 99
38.5%
52
20.2%
- 2
 
0.8%
1 2
 
0.8%
2 2
 
0.8%
. 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2122
87.4%
ASCII 306
 
12.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 122
 
5.7%
고 115
 
5.4%
주 98
 
4.6%
기 85
 
4.0%
획 76
 
3.6%
인 73
 
3.4%
드 59
 
2.8%
디 58
 
2.7%
이 57
 
2.7%
스 52
 
2.5%
Other values (263) 1327
62.5%
ASCII
ValueCountFrequency (%)
) 99
32.4%
( 99
32.4%
52
17.0%
D 7
 
2.3%
E 4
 
1.3%
I 4
 
1.3%
N 3
 
1.0%
M 3
 
1.0%
i 3
 
1.0%
- 2
 
0.7%
Other values (20) 30
 
9.8%

최종수정일자
Date

Distinct408
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum1988-07-14 00:00:00
Maximum2024-04-04 10:16:31
2024-04-06T19:23:06.804672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:23:07.049364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
I
286 
U
137 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 286
67.6%
U 137
32.4%

Length

2024-04-06T19:23:07.270010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:23:07.471957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 286
67.6%
u 137
32.4%

데이터갱신일자
Date

Distinct87
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T19:23:07.685713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:23:07.997940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing423
Missing (%)100.0%
Memory size3.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct329
Distinct (%)84.1%
Missing32
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean212037.11
Minimum210542.17
Maximum230326.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-06T19:23:08.266473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210542.17
5-th percentile210798.12
Q1211393.1
median211868.89
Q3212510.99
95-th percentile213589.83
Maximum230326.31
Range19784.137
Interquartile range (IQR)1117.887

Descriptive statistics

Standard deviation1290.7592
Coefficient of variation (CV)0.0060874214
Kurtosis103.20334
Mean212037.11
Median Absolute Deviation (MAD)544.25658
Skewness7.692353
Sum82906511
Variance1666059.4
MonotonicityNot monotonic
2024-04-06T19:23:08.515921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211542.314116941 5
 
1.2%
211423.722373995 3
 
0.7%
211775.882753999 3
 
0.7%
210931.41794176 3
 
0.7%
211087.676151765 3
 
0.7%
211462.695750076 3
 
0.7%
212828.817394704 3
 
0.7%
212154.72436862 3
 
0.7%
213594.798907272 3
 
0.7%
211980.248325806 2
 
0.5%
Other values (319) 360
85.1%
(Missing) 32
 
7.6%
ValueCountFrequency (%)
210542.171203439 1
0.2%
210608.698913077 2
0.5%
210613.801723814 2
0.5%
210661.467338527 1
0.2%
210670.369892293 1
0.2%
210671.486635695 1
0.2%
210692.588312686 1
0.2%
210702.347047613 1
0.2%
210707.335293497 1
0.2%
210719.337088911 1
0.2%
ValueCountFrequency (%)
230326.307767 1
0.2%
215795.324533638 1
0.2%
215289.815449411 1
0.2%
215230.899404859 2
0.5%
215129.842193761 1
0.2%
215031.497171478 1
0.2%
215014.832595077 1
0.2%
214996.673945552 1
0.2%
214985.580171977 1
0.2%
214970.814200888 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct329
Distinct (%)84.1%
Missing32
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean448216.75
Minimum313897.18
Maximum451519.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-06T19:23:08.762383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum313897.18
5-th percentile447129.68
Q1447751.57
median448521.6
Q3449198.49
95-th percentile450283.72
Maximum451519.4
Range137622.22
Interquartile range (IQR)1446.9125

Descriptive statistics

Standard deviation6882.6601
Coefficient of variation (CV)0.015355651
Kurtosis374.68011
Mean448216.75
Median Absolute Deviation (MAD)708.27676
Skewness-19.151634
Sum1.7525275 × 108
Variance47371010
MonotonicityNot monotonic
2024-04-06T19:23:09.007555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448273.114107211 5
 
1.2%
447584.620546836 3
 
0.7%
446940.608800863 3
 
0.7%
447299.759349525 3
 
0.7%
447317.959443024 3
 
0.7%
448848.108450415 3
 
0.7%
448705.967267828 3
 
0.7%
448181.234249187 3
 
0.7%
450984.376735084 3
 
0.7%
448111.060277943 2
 
0.5%
Other values (319) 360
85.1%
(Missing) 32
 
7.6%
ValueCountFrequency (%)
313897.182607 1
 
0.2%
446680.303498539 1
 
0.2%
446719.053565685 1
 
0.2%
446778.592045172 2
0.5%
446852.349671616 1
 
0.2%
446940.608800863 3
0.7%
446942.269130178 2
0.5%
446950.187809427 1
 
0.2%
446966.454190768 1
 
0.2%
447009.221035868 1
 
0.2%
ValueCountFrequency (%)
451519.404046335 1
 
0.2%
451133.354525153 1
 
0.2%
451107.221316459 1
 
0.2%
451093.564843304 2
0.5%
451036.449236248 1
 
0.2%
451012.38525876 1
 
0.2%
451003.326910912 1
 
0.2%
450984.376735084 3
0.7%
450968.20651368 1
 
0.2%
450922.53379357 1
 
0.2%

영업내용
Text

MISSING 

Distinct109
Distinct (%)35.5%
Missing116
Missing (%)27.4%
Memory size3.4 KiB
2024-04-06T19:23:09.420358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length8.5863192
Min length4

Characters and Unicode

Total characters2636
Distinct characters92
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

Unique91 ?
Unique (%)29.6%

Sample

1st row옥외광고물제작설치
2nd row옥외광고업
3rd row광고물제작및 설치, 전기공사
4th row옥외광고물제작설치
5th row광고물제작
ValueCountFrequency (%)
옥외광고물제작설치 82
15.9%
제작 67
13.0%
및 39
 
7.5%
옥외광고물 33
 
6.4%
광고물 28
 
5.4%
광고물제작 25
 
4.8%
옥외광고업 25
 
4.8%
간판제작 24
 
4.6%
설치 20
 
3.9%
옥외광고물제작 16
 
3.1%
Other values (84) 158
30.6%
2024-04-06T19:23:10.134350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 275
10.4%
고 274
10.4%
제 249
9.4%
작 245
9.3%
210
 
8.0%
물 203
 
7.7%
외 190
 
7.2%
옥 188
 
7.1%
치 115
 
4.4%
설 114
 
4.3%
Other values (82) 573
21.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2347
89.0%
Space Separator 210
 
8.0%
Other Punctuation 62
 
2.4%
Decimal Number 8
 
0.3%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 275
11.7%
고 274
11.7%
제 249
10.6%
작 245
10.4%
물 203
8.6%
외 190
8.1%
옥 188
8.0%
치 115
 
4.9%
설 114
 
4.9%
판 51
 
2.2%
Other values (68) 443
18.9%
Decimal Number
ValueCountFrequency (%)
0 3
37.5%
2 2
25.0%
8 1
 
12.5%
1 1
 
12.5%
4 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 49
79.0%
/ 9
 
14.5%
. 4
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
E 1
33.3%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
210
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2347
89.0%
Common 286
 
10.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 275
11.7%
고 274
11.7%
제 249
10.6%
작 245
10.4%
물 203
8.6%
외 190
8.1%
옥 188
8.0%
치 115
 
4.9%
설 114
 
4.9%
판 51
 
2.2%
Other values (68) 443
18.9%
Common
ValueCountFrequency (%)
210
73.4%
, 49
 
17.1%
/ 9
 
3.1%
. 4
 
1.4%
( 3
 
1.0%
) 3
 
1.0%
0 3
 
1.0%
2 2
 
0.7%
8 1
 
0.3%
1 1
 
0.3%
Latin
ValueCountFrequency (%)
L 1
33.3%
E 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2347
89.0%
ASCII 289
 
11.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 275
11.7%
고 274
11.7%
제 249
10.6%
작 245
10.4%
물 203
8.6%
외 190
8.1%
옥 188
8.0%
치 115
 
4.9%
설 114
 
4.9%
판 51
 
2.2%
Other values (68) 443
18.9%
ASCII
ValueCountFrequency (%)
210
72.7%
, 49
 
17.0%
/ 9
 
3.1%
. 4
 
1.4%
( 3
 
1.0%
) 3
 
1.0%
0 3
 
1.0%
2 2
 
0.7%
L 1
 
0.3%
E 1
 
0.3%
Other values (4) 4
 
1.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
03240000198832400870820000120111014<NA>3폐업40폐업20210607<NA><NA><NA>02 477 1808<NA><NA>서울특별시 강동구 길동 ***-** 정일빌라 *동 ***호서울특별시 강동구 천호대로***길 **, *동 ***호 (길동,정일빌라)<NA>태성광고2021-06-07 16:28:57U2021-06-09 02:40:00.0<NA>212620.087869448192.199818옥외광고물제작설치
13240000198832400870820000219880714<NA>3폐업40폐업20081031<NA><NA><NA>02 4821344<NA><NA>서울특별시 강동구 천호동 ***-**번지서울특별시 강동구 천호대로***길 ** (천호동)<NA>상신광고2008-10-31 13:42:18I2018-08-31 23:59:59.0<NA>210845.824268448775.090462옥외광고업
23240000198832400870820000319880714<NA>3폐업40폐업20070408<NA><NA><NA>02 484 7050<NA><NA>서울특별시 강동구 성내동 ***-**번지서울특별시 강동구 성안로 ** (성내동)<NA>명성상사1988-07-14 00:00:00I2018-08-31 23:59:59.0<NA>211491.173673447371.886262광고물제작및 설치, 전기공사
33240000198832400870820000519880714<NA>1영업/정상20정상<NA><NA><NA><NA>02 478 3771<NA><NA>서울특별시 강동구 천호동 ***-**서울특별시 강동구 올림픽로**길 * (천호동)05246미림광고2022-02-24 10:08:55U2022-02-26 02:40:00.0<NA>210917.247978448945.825261옥외광고물제작설치
43240000198832400870820000719980714<NA>3폐업40폐업20050303<NA><NA><NA>02 4700489<NA><NA>서울특별시 강동구 천호동 ***-*번지<NA><NA>현진광고1998-07-14 00:00:00I2018-08-31 23:59:59.0<NA>210950.549691448992.978028<NA>
53240000198832400870820000819880714<NA>3폐업40폐업20010704<NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동<NA><NA>대영광고2019-06-10 14:38:36U2019-06-12 02:40:00.0<NA><NA><NA>광고물제작
63240000198832400870820001019980714<NA>3폐업40폐업20060727<NA><NA><NA>02 4700489<NA><NA>서울특별시 강동구 명일동 ***-**번지서울특별시 강동구 양재대로***길 ** (명일동)<NA>남일상사1998-07-14 00:00:00I2018-08-31 23:59:59.0<NA>212677.796121449179.875924<NA>
73240000198832400870820001119980714<NA>3폐업40폐업20021008<NA><NA><NA>02 4888031<NA><NA>서울특별시 강동구 천호동 **-*번지서울특별시 강동구 구천면로 *** (천호동)<NA>명일광고1998-07-14 00:00:00I2018-08-31 23:59:59.0<NA>212609.850115449822.971305<NA>
83240000198832400870820001219980714<NA>3폐업40폐업20090402<NA><NA><NA>02 4835888<NA><NA>서울특별시 강동구 길동 ***-**번지서울특별시 강동구 진황도로**길 * (길동)<NA>성신기획2009-04-02 20:52:14I2018-08-31 23:59:59.0<NA>212154.724369448181.234249옥외광고업
93240000198832400870820001320080519<NA>1영업/정상20정상<NA><NA><NA><NA>02 475 7878<NA><NA>서울특별시 강동구 길동 ***-*서울특별시 강동구 양재대로***길 **, *층 ***호 (길동)05302경미광고2022-06-21 12:04:28U2021-12-05 22:03:00.0<NA>212618.645848448983.94844<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)영업내용
413324000020213240240085000092021-12-06<NA>3폐업40폐업2023-02-17<NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 ***-* 일성하이츠오피스텔서울특별시 강동구 천호대로 ****, 일성하이츠오피스텔 (길동)05355(주)더스마트솔루션2023-02-17 16:58:46U2022-12-01 23:09:00.0<NA>211980.248326448111.060278<NA>
414324000020223240240085000012022-07-06<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 ***-*서울특별시 강동구 고덕로**길 ** (암사동)05237준기획2024-02-15 17:08:03U2023-12-01 23:07:00.0<NA>211999.296246450475.904052<NA>
4153240000202232402400850000220190313<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 고덕동 ***-* ***호서울특별시 강동구 동남로**길 **, ***호 (고덕동)05226(주)선전산업2023-01-09 17:00:17U2022-11-30 23:01:00.0<NA>213594.798907450984.376735<NA>
416324000020223240240085000032022-11-23<NA>3폐업40폐업2023-03-072023-03-07<NA><NA><NA><NA><NA>서울특별시 강동구 천호동 ***-** 중앙클레식하우스 제비동 b**호서울특별시 강동구 상암로 ***, 제비동 b**호 (천호동, 중앙클레식하우스)05320정오2023-03-09 14:41:20U2022-12-02 23:01:00.0<NA>211779.52636449434.12375<NA>
4173240000202232402400850000420221227<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 **-** 샬롬빌딩서울특별시 강동구 천호옛길 **, 샬롬빌딩 (성내동)05385공간사2023-01-09 16:41:46U2022-11-30 23:01:00.0<NA>210928.657005448107.387796<NA>
418324000020233240240085000012023-09-11<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 둔촌동 ***서울특별시 강동구 천호대로 ****-**, *층 (둔촌동)05359(주)허브건축2023-09-12 12:53:37U2022-12-08 23:04:00.0<NA>213100.407279448190.783511<NA>
419324000020233240240085000022023-07-06<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 *** 라이저강동빌딩 ***호서울특별시 강동구 천호대로 ****, ***호 (성내동, 라이저강동빌딩)05373에스지유나이티드2023-07-06 10:41:41I2022-12-07 00:08:00.0<NA>211878.097724448049.826281<NA>
420324000020233240240085000032023-07-24<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 둔촌동 **-** ***호서울특별시 강동구 풍성로**길 **-*, ***호 (둔촌동)05364아이홈카2023-08-28 16:09:01U2022-12-07 21:00:00.0<NA>212294.429521447517.588226<NA>
421324000020233240240085000042023-11-02<NA>1영업/정상20정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 명일동 ***-* ***호서울특별시 강동구 상암로 ***, *층 ***호 (명일동)05296명성디자인2023-11-02 15:36:49I2022-11-01 00:04:00.0<NA>212687.654875449337.32139<NA>
422324000020243240240085000012013-05-14<NA>1영업/정상20정상<NA><NA><NA><NA>4129236<NA><NA>서울특별시 강동구 고덕동 ***서울특별시 강동구 아리수로**길 ** (고덕동)05220파란고릴라2024-02-14 15:11:07U2023-12-01 23:06:00.0<NA>214425.656359451107.221316<NA>