Overview

Dataset statistics

Number of variables60
Number of observations29
Missing cells837
Missing cells (%)48.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.0 KiB
Average record size in memory529.6 B

Variable types

Categorical22
Text7
DateTime3
Unsupported25
Numeric3

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),문화체육업종명,문화사업자구분명,지역구분명,총층수,주변환경명,제작취급품목내용,보험기관명,건물용도명,지상층수,지하층수,객실수,건축연면적,영문상호명,영문상호주소,선박총톤수,선박척수,선박제원,무대면적,좌석수,기념품종류,회의실별동시수용인원,시설면적,놀이기구수내역,놀이시설수,방송시설유무,발전시설유무,의무실유무,안내소유무,기획여행보험시작일자,기획여행보험종료일자,자본금,보험시작일자,보험종료일자,부대시설내역,시설규모
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-17476/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 has constant value ""Constant
지역구분명 has constant value ""Constant
건물용도명 has constant value ""Constant
영업상태코드 is highly imbalanced (50.3%)Imbalance
영업상태명 is highly imbalanced (50.3%)Imbalance
상세영업상태코드 is highly imbalanced (50.3%)Imbalance
상세영업상태명 is highly imbalanced (50.3%)Imbalance
총층수 is highly imbalanced (63.8%)Imbalance
지상층수 is highly imbalanced (63.8%)Imbalance
지하층수 is highly imbalanced (63.8%)Imbalance
객실수 is highly imbalanced (63.8%)Imbalance
건축연면적 is highly imbalanced (63.7%)Imbalance
선박총톤수 is highly imbalanced (63.8%)Imbalance
선박척수 is highly imbalanced (63.8%)Imbalance
무대면적 is highly imbalanced (63.8%)Imbalance
좌석수 is highly imbalanced (63.8%)Imbalance
회의실별동시수용인원 is highly imbalanced (63.8%)Imbalance
시설면적 is highly imbalanced (63.2%)Imbalance
놀이시설수 is highly imbalanced (63.8%)Imbalance
자본금 is highly imbalanced (63.8%)Imbalance
시설규모 is highly imbalanced (63.2%)Imbalance
인허가취소일자 has 29 (100.0%) missing valuesMissing
폐업일자 has 25 (86.2%) missing valuesMissing
휴업시작일자 has 29 (100.0%) missing valuesMissing
휴업종료일자 has 29 (100.0%) missing valuesMissing
재개업일자 has 29 (100.0%) missing valuesMissing
전화번호 has 29 (100.0%) missing valuesMissing
소재지면적 has 29 (100.0%) missing valuesMissing
소재지우편번호 has 27 (93.1%) missing valuesMissing
도로명우편번호 has 4 (13.8%) missing valuesMissing
업태구분명 has 29 (100.0%) missing valuesMissing
문화사업자구분명 has 29 (100.0%) missing valuesMissing
지역구분명 has 28 (96.6%) missing valuesMissing
주변환경명 has 29 (100.0%) missing valuesMissing
제작취급품목내용 has 29 (100.0%) missing valuesMissing
보험기관명 has 29 (100.0%) missing valuesMissing
건물용도명 has 28 (96.6%) missing valuesMissing
영문상호명 has 29 (100.0%) missing valuesMissing
영문상호주소 has 29 (100.0%) missing valuesMissing
선박제원 has 29 (100.0%) missing valuesMissing
기념품종류 has 29 (100.0%) missing valuesMissing
놀이기구수내역 has 29 (100.0%) missing valuesMissing
방송시설유무 has 29 (100.0%) missing valuesMissing
발전시설유무 has 29 (100.0%) missing valuesMissing
의무실유무 has 29 (100.0%) missing valuesMissing
안내소유무 has 29 (100.0%) missing valuesMissing
기획여행보험시작일자 has 29 (100.0%) missing valuesMissing
기획여행보험종료일자 has 29 (100.0%) missing valuesMissing
보험시작일자 has 29 (100.0%) missing valuesMissing
보험종료일자 has 29 (100.0%) missing valuesMissing
부대시설내역 has 29 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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
전화번호 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 22:27:54.617703
Analysis finished2024-04-17 22:27:55.070190
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
3240000
29 

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 29
100.0%

Length

2024-04-18T07:27:55.131237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:55.215452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 29
100.0%

관리번호
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-18T07:27:55.363226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters580
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st rowCDFI2262212014000001
2nd rowCDFI2262212014000002
3rd rowCDFI2262212015000001
4th rowCDFI2262212016000001
5th rowCDFI2262212019000001
ValueCountFrequency (%)
cdfi2262212014000001 1
 
3.4%
cdfi2262212023000010 1
 
3.4%
cdfi2262212024000008 1
 
3.4%
cdfi2262212024000007 1
 
3.4%
cdfi2262212024000006 1
 
3.4%
cdfi2262212024000005 1
 
3.4%
cdfi2262212024000004 1
 
3.4%
cdfi2262212024000003 1
 
3.4%
cdfi2262212024000002 1
 
3.4%
cdfi2262212024000001 1
 
3.4%
Other values (19) 19
65.5%
2024-04-18T07:27:55.650760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 173
29.8%
0 170
29.3%
1 49
 
8.4%
6 32
 
5.5%
C 29
 
5.0%
D 29
 
5.0%
F 29
 
5.0%
I 29
 
5.0%
3 16
 
2.8%
4 14
 
2.4%
Other values (4) 10
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 464
80.0%
Uppercase Letter 116
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 173
37.3%
0 170
36.6%
1 49
 
10.6%
6 32
 
6.9%
3 16
 
3.4%
4 14
 
3.0%
9 4
 
0.9%
5 2
 
0.4%
7 2
 
0.4%
8 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 29
25.0%
D 29
25.0%
F 29
25.0%
I 29
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 464
80.0%
Latin 116
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 173
37.3%
0 170
36.6%
1 49
 
10.6%
6 32
 
6.9%
3 16
 
3.4%
4 14
 
3.0%
9 4
 
0.9%
5 2
 
0.4%
7 2
 
0.4%
8 2
 
0.4%
Latin
ValueCountFrequency (%)
C 29
25.0%
D 29
25.0%
F 29
25.0%
I 29
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 173
29.8%
0 170
29.3%
1 49
 
8.4%
6 32
 
5.5%
C 29
 
5.0%
D 29
 
5.0%
F 29
 
5.0%
I 29
 
5.0%
3 16
 
2.8%
4 14
 
2.4%
Other values (4) 10
 
1.7%

인허가일자
Date

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2014-07-24 00:00:00
Maximum2024-04-05 00:00:00
2024-04-18T07:27:55.769243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:27:55.874139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
1
24 
3
4 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row3
2nd row4
3rd row1
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 24
82.8%
3 4
 
13.8%
4 1
 
3.4%

Length

2024-04-18T07:27:55.992098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:56.092147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
82.8%
3 4
 
13.8%
4 1
 
3.4%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
영업/정상
24 
폐업
4 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.8965517
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row폐업
2nd row취소/말소/만료/정지/중지
3rd row영업/정상
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 24
82.8%
폐업 4
 
13.8%
취소/말소/만료/정지/중지 1
 
3.4%

Length

2024-04-18T07:27:56.178944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:56.263314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 24
82.8%
폐업 4
 
13.8%
취소/말소/만료/정지/중지 1
 
3.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
13
24 
3
4 
33
 
1

Length

Max length2
Median length2
Mean length1.862069
Min length1

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row3
2nd row33
3rd row13
4th row3
5th row3

Common Values

ValueCountFrequency (%)
13 24
82.8%
3 4
 
13.8%
33 1
 
3.4%

Length

2024-04-18T07:27:56.348251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:56.427968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 24
82.8%
3 4
 
13.8%
33 1
 
3.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
영업중
24 
폐업
4 
지정취소
 
1

Length

Max length4
Median length3
Mean length2.8965517
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 24
82.8%
폐업 4
 
13.8%
지정취소 1
 
3.4%

Length

2024-04-18T07:27:57.020548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:57.108649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 24
82.8%
폐업 4
 
13.8%
지정취소 1
 
3.4%

폐업일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing25
Missing (%)86.2%
Memory size364.0 B
Minimum2019-11-05 00:00:00
Maximum2024-04-12 00:00:00
2024-04-18T07:27:57.185812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:27:57.272482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

소재지우편번호
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing27
Missing (%)93.1%
Memory size364.0 B
2024-04-18T07:27:57.370722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters14
Distinct characters6
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

Unique0 ?
Unique (%)0.0%

Sample

1st row134-021
2nd row134-021
ValueCountFrequency (%)
134-021 2
100.0%
2024-04-18T07:27:57.587270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4
28.6%
3 2
14.3%
4 2
14.3%
- 2
14.3%
0 2
14.3%
2 2
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12
85.7%
Dash Punctuation 2
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4
33.3%
3 2
16.7%
4 2
16.7%
0 2
16.7%
2 2
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4
28.6%
3 2
14.3%
4 2
14.3%
- 2
14.3%
0 2
14.3%
2 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4
28.6%
3 2
14.3%
4 2
14.3%
- 2
14.3%
0 2
14.3%
2 2
14.3%

지번주소
Text

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-18T07:27:57.756539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length36
Mean length23.586207
Min length19

Characters and Unicode

Total characters684
Distinct characters62
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)65.5%

Sample

1st row서울특별시 강동구 천호동 569 강변그대가리버뷰 103동 204호
2nd row서울특별시 강동구 천호동 569번지 강변그대가리버뷰 103동 204호
3rd row서울특별시 강동구 천호동 565번지
4th row서울특별시 강동구 천호동 47-24
5th row서울특별시 강동구 성내동 447-5번지 타운빌라트
ValueCountFrequency (%)
서울특별시 29
21.6%
강동구 29
21.6%
성내동 14
 
10.4%
천호동 10
 
7.5%
210-18 4
 
3.0%
에덴빌32차 4
 
3.0%
405-37 3
 
2.2%
상일동 2
 
1.5%
204호 2
 
1.5%
103동 2
 
1.5%
Other values (29) 35
26.1%
2024-04-18T07:27:58.096895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
 
15.4%
동 61
 
8.9%
강 31
 
4.5%
구 30
 
4.4%
서 29
 
4.2%
특 29
 
4.2%
별 29
 
4.2%
시 29
 
4.2%
울 29
 
4.2%
1 27
 
3.9%
Other values (52) 285
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 397
58.0%
Decimal Number 158
 
23.1%
Space Separator 105
 
15.4%
Dash Punctuation 24
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 61
15.4%
강 31
 
7.8%
구 30
 
7.6%
서 29
 
7.3%
특 29
 
7.3%
별 29
 
7.3%
시 29
 
7.3%
울 29
 
7.3%
성 15
 
3.8%
내 15
 
3.8%
Other values (40) 100
25.2%
Decimal Number
ValueCountFrequency (%)
1 27
17.1%
5 22
13.9%
4 22
13.9%
2 21
13.3%
3 20
12.7%
0 19
12.0%
7 9
 
5.7%
9 7
 
4.4%
6 6
 
3.8%
8 5
 
3.2%
Space Separator
ValueCountFrequency (%)
105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 397
58.0%
Common 287
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 61
15.4%
강 31
 
7.8%
구 30
 
7.6%
서 29
 
7.3%
특 29
 
7.3%
별 29
 
7.3%
시 29
 
7.3%
울 29
 
7.3%
성 15
 
3.8%
내 15
 
3.8%
Other values (40) 100
25.2%
Common
ValueCountFrequency (%)
105
36.6%
1 27
 
9.4%
- 24
 
8.4%
5 22
 
7.7%
4 22
 
7.7%
2 21
 
7.3%
3 20
 
7.0%
0 19
 
6.6%
7 9
 
3.1%
9 7
 
2.4%
Other values (2) 11
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 397
58.0%
ASCII 287
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
36.6%
1 27
 
9.4%
- 24
 
8.4%
5 22
 
7.7%
4 22
 
7.7%
2 21
 
7.3%
3 20
 
7.0%
0 19
 
6.6%
7 9
 
3.1%
9 7
 
2.4%
Other values (2) 11
 
3.8%
Hangul
ValueCountFrequency (%)
동 61
15.4%
강 31
 
7.8%
구 30
 
7.6%
서 29
 
7.3%
특 29
 
7.3%
별 29
 
7.3%
시 29
 
7.3%
울 29
 
7.3%
성 15
 
3.8%
내 15
 
3.8%
Other values (40) 100
25.2%

도로명주소
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-18T07:27:58.312341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length37.37931
Min length29

Characters and Unicode

Total characters1084
Distinct characters85
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

Unique27 ?
Unique (%)93.1%

Sample

1st row서울특별시 강동구 올림픽로89길 57, 103동 204호 (천호동, 강변그대가리버뷰)
2nd row서울특별시 강동구 올림픽로89길 57, 103동 204호 (천호동, 강변그대가리버뷰)
3rd row서울특별시 강동구 천호대로 1095, 806호 (천호동, 현대코아아파트)
4th row서울특별시 강동구 천중로39길 69, 101동 1305호 (천호동, 천호1차우림루미아트)
5th row서울특별시 강동구 성내로18길 41, 302호 (성내동, 타운빌라트)
ValueCountFrequency (%)
서울특별시 29
 
14.6%
강동구 29
 
14.6%
성내동 14
 
7.1%
천호동 10
 
5.1%
에덴빌32차 4
 
2.0%
52 4
 
2.0%
구천면로34길 4
 
2.0%
101호 4
 
2.0%
302호 4
 
2.0%
양재대로97길 3
 
1.5%
Other values (71) 93
47.0%
2024-04-18T07:27:58.646106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169
 
15.6%
동 66
 
6.1%
1 43
 
4.0%
호 42
 
3.9%
, 37
 
3.4%
0 37
 
3.4%
구 35
 
3.2%
강 33
 
3.0%
2 33
 
3.0%
3 32
 
3.0%
Other values (75) 557
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 572
52.8%
Decimal Number 236
21.8%
Space Separator 169
 
15.6%
Other Punctuation 37
 
3.4%
Close Punctuation 29
 
2.7%
Open Punctuation 29
 
2.7%
Dash Punctuation 10
 
0.9%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 66
 
11.5%
호 42
 
7.3%
구 35
 
6.1%
강 33
 
5.8%
울 29
 
5.1%
서 29
 
5.1%
시 29
 
5.1%
특 29
 
5.1%
별 29
 
5.1%
로 28
 
4.9%
Other values (59) 223
39.0%
Decimal Number
ValueCountFrequency (%)
1 43
18.2%
0 37
15.7%
2 33
14.0%
3 32
13.6%
5 22
9.3%
4 21
8.9%
9 14
 
5.9%
6 14
 
5.9%
8 11
 
4.7%
7 9
 
3.8%
Space Separator
ValueCountFrequency (%)
169
100.0%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 572
52.8%
Common 510
47.0%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 66
 
11.5%
호 42
 
7.3%
구 35
 
6.1%
강 33
 
5.8%
울 29
 
5.1%
서 29
 
5.1%
시 29
 
5.1%
특 29
 
5.1%
별 29
 
5.1%
로 28
 
4.9%
Other values (59) 223
39.0%
Common
ValueCountFrequency (%)
169
33.1%
1 43
 
8.4%
, 37
 
7.3%
0 37
 
7.3%
2 33
 
6.5%
3 32
 
6.3%
) 29
 
5.7%
( 29
 
5.7%
5 22
 
4.3%
4 21
 
4.1%
Other values (5) 58
 
11.4%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 572
52.8%
ASCII 512
47.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
169
33.0%
1 43
 
8.4%
, 37
 
7.2%
0 37
 
7.2%
2 33
 
6.4%
3 32
 
6.2%
) 29
 
5.7%
( 29
 
5.7%
5 22
 
4.3%
4 21
 
4.1%
Other values (6) 60
 
11.7%
Hangul
ValueCountFrequency (%)
동 66
 
11.5%
호 42
 
7.3%
구 35
 
6.1%
강 33
 
5.8%
울 29
 
5.1%
서 29
 
5.1%
시 29
 
5.1%
특 29
 
5.1%
별 29
 
5.1%
로 28
 
4.9%
Other values (59) 223
39.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)60.0%
Missing4
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean5343
Minimum5226
Maximum5406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-18T07:27:58.750658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5226
5-th percentile5241
Q15313
median5374
Q35398
95-th percentile5405
Maximum5406
Range180
Interquartile range (IQR)85

Descriptive statistics

Standard deviation60.874187
Coefficient of variation (CV)0.01139326
Kurtosis-0.91278359
Mean5343
Median Absolute Deviation (MAD)32
Skewness-0.68746145
Sum133575
Variance3705.6667
MonotonicityNot monotonic
2024-04-18T07:27:58.846189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
5331 4
13.8%
5403 3
10.3%
5377 3
10.3%
5274 2
 
6.9%
5241 2
 
6.9%
5405 2
 
6.9%
5313 1
 
3.4%
5226 1
 
3.4%
5330 1
 
3.4%
5398 1
 
3.4%
Other values (5) 5
17.2%
(Missing) 4
13.8%
ValueCountFrequency (%)
5226 1
 
3.4%
5241 2
6.9%
5247 1
 
3.4%
5274 2
6.9%
5313 1
 
3.4%
5330 1
 
3.4%
5331 4
13.8%
5374 1
 
3.4%
5377 3
10.3%
5387 1
 
3.4%
ValueCountFrequency (%)
5406 1
 
3.4%
5405 2
6.9%
5403 3
10.3%
5398 1
 
3.4%
5390 1
 
3.4%
5387 1
 
3.4%
5377 3
10.3%
5374 1
 
3.4%
5331 4
13.8%
5330 1
 
3.4%

사업장명
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-04-18T07:27:59.014227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length11
Mean length7.4827586
Min length2

Characters and Unicode

Total characters217
Distinct characters90
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

Unique27 ?
Unique (%)93.1%

Sample

1st rowYoung House
2nd rowYoung House
3rd rowElaine's house (일레인의 집)
4th rowLumi-Art(루미-아트)
5th rowJunJa하우스
ValueCountFrequency (%)
house 5
 
10.4%
스테이 4
 
8.3%
stay 2
 
4.2%
young 2
 
4.2%
휴 1
 
2.1%
앤하우스 1
 
2.1%
몬드 1
 
2.1%
홈 1
 
2.1%
트리니티 1
 
2.1%
성내 1
 
2.1%
Other values (29) 29
60.4%
2024-04-18T07:27:59.296396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
8.8%
스 14
 
6.5%
이 11
 
5.1%
e 10
 
4.6%
u 9
 
4.1%
o 8
 
3.7%
테 8
 
3.7%
하 7
 
3.2%
우 7
 
3.2%
s 6
 
2.8%
Other values (80) 118
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107
49.3%
Lowercase Letter 61
28.1%
Uppercase Letter 20
 
9.2%
Space Separator 19
 
8.8%
Other Punctuation 3
 
1.4%
Dash Punctuation 2
 
0.9%
Close Punctuation 2
 
0.9%
Open Punctuation 2
 
0.9%
Decimal Number 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 14
 
13.1%
이 11
 
10.3%
테 8
 
7.5%
하 7
 
6.5%
우 7
 
6.5%
리 3
 
2.8%
버 3
 
2.8%
루 2
 
1.9%
세 2
 
1.9%
트 2
 
1.9%
Other values (46) 48
44.9%
Lowercase Letter
ValueCountFrequency (%)
e 10
16.4%
u 9
14.8%
o 8
13.1%
s 6
9.8%
a 6
9.8%
n 5
8.2%
t 3
 
4.9%
r 2
 
3.3%
y 2
 
3.3%
m 2
 
3.3%
Other values (6) 8
13.1%
Uppercase Letter
ValueCountFrequency (%)
H 4
20.0%
S 3
15.0%
O 2
10.0%
Y 2
10.0%
J 2
10.0%
P 2
10.0%
E 1
 
5.0%
L 1
 
5.0%
A 1
 
5.0%
R 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
' 1
33.3%
Space Separator
ValueCountFrequency (%)
19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107
49.3%
Latin 81
37.3%
Common 29
 
13.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 14
 
13.1%
이 11
 
10.3%
테 8
 
7.5%
하 7
 
6.5%
우 7
 
6.5%
리 3
 
2.8%
버 3
 
2.8%
루 2
 
1.9%
세 2
 
1.9%
트 2
 
1.9%
Other values (46) 48
44.9%
Latin
ValueCountFrequency (%)
e 10
 
12.3%
u 9
 
11.1%
o 8
 
9.9%
s 6
 
7.4%
a 6
 
7.4%
n 5
 
6.2%
H 4
 
4.9%
S 3
 
3.7%
t 3
 
3.7%
O 2
 
2.5%
Other values (17) 25
30.9%
Common
ValueCountFrequency (%)
19
65.5%
- 2
 
6.9%
, 2
 
6.9%
) 2
 
6.9%
( 2
 
6.9%
' 1
 
3.4%
2 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110
50.7%
Hangul 107
49.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
17.3%
e 10
 
9.1%
u 9
 
8.2%
o 8
 
7.3%
s 6
 
5.5%
a 6
 
5.5%
n 5
 
4.5%
H 4
 
3.6%
S 3
 
2.7%
t 3
 
2.7%
Other values (24) 37
33.6%
Hangul
ValueCountFrequency (%)
스 14
 
13.1%
이 11
 
10.3%
테 8
 
7.5%
하 7
 
6.5%
우 7
 
6.5%
리 3
 
2.8%
버 3
 
2.8%
루 2
 
1.9%
세 2
 
1.9%
트 2
 
1.9%
Other values (46) 48
44.9%

최종수정일자
Date

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2015-12-03 00:00:00
Maximum2024-04-12 15:01:53
2024-04-18T07:27:59.409830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:27:59.517334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
U
22 
I
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 22
75.9%
I 7
 
24.1%

Length

2024-04-18T07:27:59.647121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:27:59.745649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 22
75.9%
i 7
 
24.1%

데이터갱신일자
Categorical

Distinct14
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-04 00:03:00.0
6 
2022-11-01 23:05:00.0
5 
2022-12-08 22:09:00.0
4 
2023-12-01 00:06:00.0
3 
2018-08-31 23:59:00.0
2 
Other values (9)
9 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique9 ?
Unique (%)31.0%

Sample

1st row2023-12-03 23:04:00.0
2nd row2018-08-31 23:59:00.0
3rd row2018-08-31 23:59:00.0
4th row2021-01-09 02:40:00.0
5th row2019-11-08 02:40:00.0

Common Values

ValueCountFrequency (%)
2023-12-04 00:03:00.0 6
20.7%
2022-11-01 23:05:00.0 5
17.2%
2022-12-08 22:09:00.0 4
13.8%
2023-12-01 00:06:00.0 3
10.3%
2018-08-31 23:59:00.0 2
 
6.9%
2023-12-03 23:04:00.0 1
 
3.4%
2021-01-09 02:40:00.0 1
 
3.4%
2019-11-08 02:40:00.0 1
 
3.4%
2022-10-31 23:00:00.0 1
 
3.4%
2021-11-25 00:22:00.0 1
 
3.4%
Other values (4) 4
13.8%

Length

2024-04-18T07:27:59.844941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-12-04 8
13.8%
00:03:00.0 6
 
10.3%
2022-11-01 5
 
8.6%
23:05:00.0 5
 
8.6%
2022-12-08 4
 
6.9%
22:09:00.0 4
 
6.9%
2023-12-01 4
 
6.9%
00:06:00.0 3
 
5.2%
02:40:00.0 2
 
3.4%
2018-08-31 2
 
3.4%
Other values (14) 15
25.9%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

좌표정보(X)
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211814.27
Minimum210604.81
Maximum214844.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-18T07:27:59.949745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210604.81
5-th percentile210713.89
Q1211281.28
median211745.95
Q3211793.56
95-th percentile214311.25
Maximum214844.69
Range4239.8774
Interquartile range (IQR)512.27554

Descriptive statistics

Standard deviation1002.6557
Coefficient of variation (CV)0.0047336551
Kurtosis4.6974565
Mean211814.27
Median Absolute Deviation (MAD)72.98002
Skewness2.0602311
Sum6142613.9
Variance1005318.5
MonotonicityNot monotonic
2024-04-18T07:28:00.052074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
211786.494736729 4
 
13.8%
211793.559543674 2
 
6.9%
211813.357877958 2
 
6.9%
211199.605578338 2
 
6.9%
210800.515967906 1
 
3.4%
211745.945789568 1
 
3.4%
211677.031448796 1
 
3.4%
210604.814172339 1
 
3.4%
211615.391042367 1
 
3.4%
211495.099524838 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
210604.814172339 1
3.4%
210656.141220258 1
3.4%
210800.515967906 1
3.4%
210800.516 1
3.4%
211056.782634241 1
3.4%
211199.605578338 2
6.9%
211281.284 1
3.4%
211495.099524838 1
3.4%
211615.391042367 1
3.4%
211672.965769345 1
3.4%
ValueCountFrequency (%)
214844.691529811 1
 
3.4%
214844.6915 1
 
3.4%
213511.086445742 1
 
3.4%
212275.5132 1
 
3.4%
211813.3579 1
 
3.4%
211813.357877958 2
6.9%
211793.559543674 2
6.9%
211786.494736729 4
13.8%
211750.8962 1
 
3.4%
211745.945789568 1
 
3.4%

좌표정보(Y)
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean448477.02
Minimum446997.15
Maximum451041.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-04-18T07:28:00.153914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446997.15
5-th percentile447091.26
Q1447556.01
median448202.63
Q3449104.48
95-th percentile450341.89
Maximum451041.68
Range4044.5297
Interquartile range (IQR)1548.4735

Descriptive statistics

Standard deviation1148.3586
Coefficient of variation (CV)0.002560574
Kurtosis-0.76721303
Mean448477.02
Median Absolute Deviation (MAD)746.29938
Skewness0.51607265
Sum13005834
Variance1318727.5
MonotonicityNot monotonic
2024-04-18T07:28:00.263186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
448918.267009084 4
 
13.8%
447119.185635161 2
 
6.9%
447698.304993513 2
 
6.9%
449930.033008238 2
 
6.9%
449481.345137325 1
 
3.4%
447818.982355601 1
 
3.4%
447307.480203697 1
 
3.4%
448813.682717486 1
 
3.4%
447072.649144632 1
 
3.4%
447662.146480424 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
446997.1527 1
3.4%
447072.649144632 1
3.4%
447119.185635161 2
6.9%
447307.480203697 1
3.4%
447313.329768912 1
3.4%
447469.231631987 1
3.4%
447556.010081034 1
3.4%
447662.146480424 1
3.4%
447698.304993513 2
6.9%
447698.305 1
3.4%
ValueCountFrequency (%)
451041.682441149 1
 
3.4%
450341.8915 1
 
3.4%
450341.891483543 1
 
3.4%
449930.033008238 2
6.9%
449481.345137325 1
 
3.4%
449481.3451 1
 
3.4%
449104.4836 1
 
3.4%
448948.93187994 1
 
3.4%
448918.267009084 4
13.8%
448813.682717486 1
 
3.4%

문화체육업종명
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
23 
외국인관광 도시민박업
6 

Length

Max length11
Median length4
Mean length5.4482759
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
79.3%
외국인관광 도시민박업 6
 
20.7%

Length

2024-04-18T07:28:00.377310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:28:00.460283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
65.7%
외국인관광 6
 
17.1%
도시민박업 6
 
17.1%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing28
Missing (%)96.6%
Memory size364.0 B
2024-04-18T07:28:00.547260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row일반주거지역
ValueCountFrequency (%)
일반주거지역 1
100.0%
2024-04-18T07:28:00.767988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
27 
0
 
2

Length

Max length4
Median length4
Mean length3.7931034
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
93.1%
0 2
 
6.9%

Length

2024-04-18T07:28:00.883717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:28:00.961841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
93.1%
0 2
 
6.9%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing28
Missing (%)96.6%
Memory size364.0 B
2024-04-18T07:28:01.029762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row아파트
ValueCountFrequency (%)
아파트 1
100.0%
2024-04-18T07:28:01.230017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 1
33.3%
파 1
33.3%
트 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 1
33.3%
파 1
33.3%
트 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 1
33.3%
파 1
33.3%
트 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 1
33.3%
파 1
33.3%
트 1
33.3%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
27 
0
 
2

Length

Max length4
Median length4
Mean length3.7931034
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
93.1%
0 2
 
6.9%

Length

2024-04-18T07:28:01.343380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:28:01.430951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
93.1%
0 2
 
6.9%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
27 
0
 
2

Length

Max length4
Median length4
Mean length3.7931034
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
93.1%
0 2
 
6.9%

Length

2024-04-18T07:28:01.512233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:28:01.598210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
93.1%
0 2
 
6.9%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
27 
0
 
2

Length

Max length4
Median length4
Mean length3.7931034
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
93.1%
0 2
 
6.9%

Length

2024-04-18T07:28:01.691399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:28:01.769587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
93.1%
0 2
 
6.9%

건축연면적
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
26 
0
 
2
85
 
1

Length

Max length4
Median length4
Mean length3.7241379
Min length1

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row85
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 26
89.7%
0 2
 
6.9%
85 1
 
3.4%

Length

2024-04-18T07:28:01.857943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:28:01.953396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
89.7%
0 2
 
6.9%
85 1
 
3.4%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
27 
0
 
2

Length

Max length4
Median length4
Mean length3.7931034
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
93.1%
0 2
 
6.9%

Length

2024-04-18T07:28:02.051355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:28:02.139516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
93.1%
0 2
 
6.9%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
27 
0
 
2

Length

Max length4
Median length4
Mean length3.7931034
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
93.1%
0 2
 
6.9%

Length

2024-04-18T07:28:02.222850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:28:02.302967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
93.1%
0 2
 
6.9%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
27 
0
 
2

Length

Max length4
Median length4
Mean length3.7931034
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
93.1%
0 2
 
6.9%

Length

2024-04-18T07:28:02.384458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:28:02.471665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
93.1%
0 2
 
6.9%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
27 
0
 
2

Length

Max length4
Median length4
Mean length3.7931034
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
93.1%
0 2
 
6.9%

Length

2024-04-18T07:28:02.562016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:28:02.642538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
93.1%
0 2
 
6.9%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
27 
0
 
2

Length

Max length4
Median length4
Mean length3.7931034
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
93.1%
0 2
 
6.9%

Length

2024-04-18T07:28:02.725919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:28:02.811003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
93.1%
0 2
 
6.9%

시설면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
25 
117.36
 
1
18.71
 
1
43.61
 
1
84.97
 
1

Length

Max length6
Median length4
Mean length4.1724138
Min length4

Unique

Unique4 ?
Unique (%)13.8%

Sample

1st row<NA>
2nd row<NA>
3rd row117.36
4th row18.71
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 25
86.2%
117.36 1
 
3.4%
18.71 1
 
3.4%
43.61 1
 
3.4%
84.97 1
 
3.4%

Length

2024-04-18T07:28:02.904747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:28:02.993848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
86.2%
117.36 1
 
3.4%
18.71 1
 
3.4%
43.61 1
 
3.4%
84.97 1
 
3.4%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
27 
0
 
2

Length

Max length4
Median length4
Mean length3.7931034
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
93.1%
0 2
 
6.9%

Length

2024-04-18T07:28:03.087489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:28:03.179889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
93.1%
0 2
 
6.9%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

자본금
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
27 
0
 
2

Length

Max length4
Median length4
Mean length3.7931034
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
93.1%
0 2
 
6.9%

Length

2024-04-18T07:28:03.280646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:28:03.373840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
93.1%
0 2
 
6.9%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

시설규모
Categorical

IMBALANCE 

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
25 
117
 
1
19
 
1
44
 
1
85
 
1

Length

Max length4
Median length4
Mean length3.7586207
Min length2

Unique

Unique4 ?
Unique (%)13.8%

Sample

1st row<NA>
2nd row<NA>
3rd row117
4th row19
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 25
86.2%
117 1
 
3.4%
19 1
 
3.4%
44 1
 
3.4%
85 1
 
3.4%

Length

2024-04-18T07:28:03.463115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:28:03.553931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
86.2%
117 1
 
3.4%
19 1
 
3.4%
44 1
 
3.4%
85 1
 
3.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03240000CDFI22622120140000012014-07-24<NA>3폐업3폐업2024-04-12<NA><NA><NA><NA><NA>134-021서울특별시 강동구 천호동 569 강변그대가리버뷰 103동 204호서울특별시 강동구 올림픽로89길 57, 103동 204호 (천호동, 강변그대가리버뷰)<NA>Young House2024-04-12 15:01:53U2023-12-03 23:04:00.0<NA>210800.515968449481.345137<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13240000CDFI226221201400000220140724<NA>4취소/말소/만료/정지/중지33지정취소<NA><NA><NA><NA><NA><NA>134-021서울특별시 강동구 천호동 569번지 강변그대가리버뷰 103동 204호서울특별시 강동구 올림픽로89길 57, 103동 204호 (천호동, 강변그대가리버뷰)<NA>Young House2016-09-12I2018-08-31 23:59:00.0<NA>210800.516449481.3451외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23240000CDFI226221201500000120151203<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 565번지서울특별시 강동구 천호대로 1095, 806호 (천호동, 현대코아아파트)<NA>Elaine's house (일레인의 집)2015-12-03I2018-08-31 23:59:00.0<NA>211750.8962448202.6325외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>117.36<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>117
33240000CDFI226221201600000120160923<NA>3폐업3폐업20210107<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 47-24서울특별시 강동구 천중로39길 69, 101동 1305호 (천호동, 천호1차우림루미아트)5313Lumi-Art(루미-아트)2021-01-07U2021-01-09 02:40:00.0<NA>212275.5132449104.4836외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>85<NA><NA><NA><NA><NA><NA><NA><NA><NA>18.71<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19
43240000CDFI226221201900000120190719<NA>3폐업3폐업20191105<NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 447-5번지 타운빌라트서울특별시 강동구 성내로18길 41, 302호 (성내동, 타운빌라트)<NA>JunJa하우스2019-11-06U2019-11-08 02:40:00.0<NA>211281.284446997.1527외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53240000CDFI22622120190000022019-11-28<NA>3폐업3폐업2023-11-06<NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 419-1 둔촌역청구아파트서울특별시 강동구 풍성로 196, 102동 9층 906호 (성내동, 둔촌역청구아파트)5403세신버팔로2023-11-08 12:57:25U2022-10-31 23:00:00.0<NA>211702.969753447469.231632<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63240000CDFI226221202100000120211123<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 405-37서울특별시 강동구 양재대로97길 45-6, 302호 (성내동)5377Renee House2021-11-23I2021-11-25 00:22:00.0<NA>211813.3579447698.305외국인관광 도시민박업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>043.61<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>44
73240000CDFI226221202300000120230310<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 상일동 520 고덕아르테온 335동 1904호서울특별시 강동구 고덕로 360, 335동 1904호 (상일동, 고덕아르테온)5274하이큐 민박2023-03-10I2023-03-12 00:41:00.0<NA>214844.6915450341.8915외국인관광 도시민박업<NA>일반주거지역0<NA><NA><NA>아파트0000<NA><NA>00<NA>00<NA>084.97<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>85
83240000CDFI22622120230000022023-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 405-37 202호서울특별시 강동구 양재대로97길 45-6, 202호 (성내동)5377르네하우스 2호점2023-09-26 13:43:27U2022-12-08 22:09:00.0<NA>211813.357878447698.304994<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93240000CDFI22622120230000032023-07-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 상일동 520 고덕아르테온서울특별시 강동구 고덕로 360, 314동 1303호 (상일동, 고덕아르테온)5274더 쉼2023-09-26 13:42:09U2022-12-08 22:09:00.0<NA>214844.69153450341.891484<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
193240000CDFI22622120230000142023-12-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 514-6서울특별시 강동구 성안로13길 21-10, 지하층 02호 (성내동)5390서울스테이, 강동2024-01-04 10:38:07U2023-12-01 00:06:00.0<NA>211495.099525447662.14648<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203240000CDFI22622120240000012024-01-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 210-18 에덴빌32차서울특별시 강동구 구천면로34길 52, 에덴빌32차 402호 (천호동)5331Sodam Stay2024-04-03 10:22:46U2023-12-04 00:05:00.0<NA>211786.494737448918.267009<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213240000CDFI22622120240000022024-02-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 437-7서울특별시 강동구 양재대로87길 51-3, 지층 102호 (성내동)5406스테이 성내2024-02-22 10:35:45I2023-12-01 22:04:00.0<NA>211615.391042447072.649145<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223240000CDFI22622120240000032024-02-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 210-18 에덴빌32차서울특별시 강동구 구천면로34길 52, 에덴빌32차 4층 401호 (천호동)5331트리니티 홈2024-04-01 15:22:22U2023-12-04 00:03:00.0<NA>211786.494737448918.267009<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233240000CDFI22622120240000042024-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 465-21서울특별시 강동구 올림픽로71길 68, 101호 (천호동)5247몬드 스테이2024-04-01 15:22:04U2023-12-04 00:03:00.0<NA>210604.814172448813.682717<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243240000CDFI22622120240000052024-03-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 503-15서울특별시 강동구 상암로5길 28, 지층 B101호 (암사동)5241앤하우스2024-04-01 15:21:44U2023-12-04 00:03:00.0<NA>211199.605578449930.033008<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253240000CDFI22622120240000062024-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 424-7서울특별시 강동구 풍성로54길 40-8, 101호 (성내동)5403스테이 휴2024-04-01 15:21:23U2023-12-04 00:03:00.0<NA>211677.031449447307.480204<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
263240000CDFI22622120240000072024-03-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 210-18 에덴빌32차서울특별시 강동구 구천면로34길 52, 에덴빌32차 302호 (천호동)5331널하우스2024-04-01 15:21:00U2023-12-04 00:03:00.0<NA>211786.494737448918.267009<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
273240000CDFI22622120240000082024-04-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 210-18 에덴빌32차서울특별시 강동구 구천면로34길 52, 에덴빌32차 301호 (천호동)5331우드세이지2024-04-01 15:20:41I2023-12-04 00:03:00.0<NA>211786.494737448918.267009<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
283240000CDFI22622120240000092024-04-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 385-20서울특별시 강동구 천호대로174길 56-8, 201호 (성내동)5374스테이목화2024-04-05 15:49:10I2023-12-04 00:07:00.0<NA>211745.94579447818.982356<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>