Overview

Dataset statistics

Number of variables60
Number of observations82
Missing cells1743
Missing cells (%)35.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.7 KiB
Average record size in memory520.6 B

Variable types

Categorical26
Text8
DateTime3
Unsupported13
Numeric10

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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-17596/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (90.5%)Imbalance
휴업종료일자 is highly imbalanced (90.5%)Imbalance
지역구분명 is highly imbalanced (62.3%)Imbalance
주변환경명 is highly imbalanced (57.2%)Imbalance
기획여행보험시작일자 is highly imbalanced (90.5%)Imbalance
기획여행보험종료일자 is highly imbalanced (90.5%)Imbalance
인허가취소일자 has 82 (100.0%) missing valuesMissing
폐업일자 has 48 (58.5%) missing valuesMissing
재개업일자 has 82 (100.0%) missing valuesMissing
전화번호 has 26 (31.7%) missing valuesMissing
소재지면적 has 82 (100.0%) missing valuesMissing
소재지우편번호 has 46 (56.1%) missing valuesMissing
도로명주소 has 2 (2.4%) missing valuesMissing
도로명우편번호 has 32 (39.0%) missing valuesMissing
업태구분명 has 82 (100.0%) missing valuesMissing
총층수 has 58 (70.7%) missing valuesMissing
제작취급품목내용 has 82 (100.0%) missing valuesMissing
지상층수 has 58 (70.7%) missing valuesMissing
영문상호명 has 79 (96.3%) missing valuesMissing
영문상호주소 has 79 (96.3%) missing valuesMissing
선박제원 has 82 (100.0%) missing valuesMissing
기념품종류 has 82 (100.0%) missing valuesMissing
시설면적 has 53 (64.6%) missing valuesMissing
놀이기구수내역 has 82 (100.0%) missing valuesMissing
방송시설유무 has 82 (100.0%) missing valuesMissing
발전시설유무 has 82 (100.0%) missing valuesMissing
의무실유무 has 82 (100.0%) missing valuesMissing
안내소유무 has 82 (100.0%) missing valuesMissing
자본금 has 41 (50.0%) missing valuesMissing
보험시작일자 has 51 (62.2%) missing valuesMissing
보험종료일자 has 51 (62.2%) missing valuesMissing
부대시설내역 has 82 (100.0%) missing valuesMissing
시설규모 has 53 (64.6%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 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
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
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 10 (12.2%) zerosZeros
지상층수 has 10 (12.2%) zerosZeros
시설면적 has 12 (14.6%) zerosZeros
자본금 has 2 (2.4%) zerosZeros
시설규모 has 12 (14.6%) zerosZeros

Reproduction

Analysis started2024-04-29 19:22:14.838280
Analysis finished2024-04-29 19:22:15.780792
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size788.0 B
3190000
82 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 82
100.0%

Length

2024-04-30T04:22:15.838993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:15.912802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 82
100.0%

관리번호
Text

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
2024-04-30T04:22:16.049539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1640
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

Unique82 ?
Unique (%)100.0%

Sample

1st rowCDFI2260021997000001
2nd rowCDFI2260021997000002
3rd rowCDFI2260021997000003
4th rowCDFI2260022000000003
5th rowCDFI2260022000000006
ValueCountFrequency (%)
cdfi2260021997000001 1
 
1.2%
cdfi2260022019000003 1
 
1.2%
cdfi2260022018000005 1
 
1.2%
cdfi2260022018000004 1
 
1.2%
cdfi2260022018000002 1
 
1.2%
cdfi2260022018000001 1
 
1.2%
cdfi2260022017000005 1
 
1.2%
cdfi2260022017000004 1
 
1.2%
cdfi2260022017000003 1
 
1.2%
cdfi2260022017000002 1
 
1.2%
Other values (72) 72
87.8%
2024-04-30T04:22:16.320687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 691
42.1%
2 368
22.4%
6 95
 
5.8%
C 82
 
5.0%
D 82
 
5.0%
F 82
 
5.0%
I 82
 
5.0%
1 60
 
3.7%
3 24
 
1.5%
4 23
 
1.4%
Other values (4) 51
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1312
80.0%
Uppercase Letter 328
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 691
52.7%
2 368
28.0%
6 95
 
7.2%
1 60
 
4.6%
3 24
 
1.8%
4 23
 
1.8%
5 16
 
1.2%
9 13
 
1.0%
7 12
 
0.9%
8 10
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 82
25.0%
D 82
25.0%
F 82
25.0%
I 82
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1312
80.0%
Latin 328
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 691
52.7%
2 368
28.0%
6 95
 
7.2%
1 60
 
4.6%
3 24
 
1.8%
4 23
 
1.8%
5 16
 
1.2%
9 13
 
1.0%
7 12
 
0.9%
8 10
 
0.8%
Latin
ValueCountFrequency (%)
C 82
25.0%
D 82
25.0%
F 82
25.0%
I 82
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 691
42.1%
2 368
22.4%
6 95
 
5.8%
C 82
 
5.0%
D 82
 
5.0%
F 82
 
5.0%
I 82
 
5.0%
1 60
 
3.7%
3 24
 
1.5%
4 23
 
1.4%
Other values (4) 51
 
3.1%
Distinct81
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size788.0 B
Minimum1996-12-17 00:00:00
Maximum2024-04-16 00:00:00
2024-04-30T04:22:16.464334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:22:16.580767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B
Distinct4
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size788.0 B
1
46 
3
31 
5
 
4
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 46
56.1%
3 31
37.8%
5 4
 
4.9%
2 1
 
1.2%

Length

2024-04-30T04:22:16.691872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:16.780086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 46
56.1%
3 31
37.8%
5 4
 
4.9%
2 1
 
1.2%

영업상태명
Categorical

Distinct4
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size788.0 B
영업/정상
46 
폐업
31 
제외/삭제/전출
 
4
휴업
 
1

Length

Max length8
Median length5
Mean length3.9756098
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 46
56.1%
폐업 31
37.8%
제외/삭제/전출 4
 
4.9%
휴업 1
 
1.2%

Length

2024-04-30T04:22:16.879026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:16.974124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 46
56.1%
폐업 31
37.8%
제외/삭제/전출 4
 
4.9%
휴업 1
 
1.2%
Distinct4
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size788.0 B
13
46 
3
31 
15
 
4
2
 
1

Length

Max length2
Median length2
Mean length1.6097561
Min length1

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
13 46
56.1%
3 31
37.8%
15 4
 
4.9%
2 1
 
1.2%

Length

2024-04-30T04:22:17.079141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:17.183745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 46
56.1%
3 31
37.8%
15 4
 
4.9%
2 1
 
1.2%
Distinct4
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size788.0 B
영업중
46 
폐업
31 
전출
 
4
휴업
 
1

Length

Max length3
Median length3
Mean length2.5609756
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 46
56.1%
폐업 31
37.8%
전출 4
 
4.9%
휴업 1
 
1.2%

Length

2024-04-30T04:22:17.294451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:17.393992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 46
56.1%
폐업 31
37.8%
전출 4
 
4.9%
휴업 1
 
1.2%

폐업일자
Date

MISSING 

Distinct33
Distinct (%)97.1%
Missing48
Missing (%)58.5%
Memory size788.0 B
Minimum2001-04-17 00:00:00
Maximum2024-03-07 00:00:00
2024-04-30T04:22:17.485462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:22:17.591358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
81 
20060201
 
1

Length

Max length8
Median length4
Mean length4.0487805
Min length4

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 81
98.8%
20060201 1
 
1.2%

Length

2024-04-30T04:22:17.709670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:17.800915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
98.8%
20060201 1
 
1.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
81 
20061231
 
1

Length

Max length8
Median length4
Mean length4.0487805
Min length4

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 81
98.8%
20061231 1
 
1.2%

Length

2024-04-30T04:22:17.896580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:17.983932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
98.8%
20061231 1
 
1.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

전화번호
Text

MISSING 

Distinct56
Distinct (%)100.0%
Missing26
Missing (%)31.7%
Memory size788.0 B
2024-04-30T04:22:18.167809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.8928571
Min length7

Characters and Unicode

Total characters554
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st row825-5400
2nd row846-7788
3rd row774-3007
4th row501-0308
5th row1599-2283
ValueCountFrequency (%)
08-833-8221 1
 
1.8%
02-736-6565 1
 
1.8%
773-0895 1
 
1.8%
02)831-5711 1
 
1.8%
595-0084 1
 
1.8%
822-5100 1
 
1.8%
02-533-8023 1
 
1.8%
02-755-7857 1
 
1.8%
1544279 1
 
1.8%
070-8826-8562 1
 
1.8%
Other values (47) 47
82.5%
2024-04-30T04:22:18.511341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 81
14.6%
2 81
14.6%
0 73
13.2%
8 60
10.8%
3 44
7.9%
7 44
7.9%
1 41
7.4%
5 39
7.0%
4 33
6.0%
6 30
 
5.4%
Other values (4) 28
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 470
84.8%
Dash Punctuation 81
 
14.6%
Math Symbol 1
 
0.2%
Close Punctuation 1
 
0.2%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 81
17.2%
0 73
15.5%
8 60
12.8%
3 44
9.4%
7 44
9.4%
1 41
8.7%
5 39
8.3%
4 33
7.0%
6 30
 
6.4%
9 25
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 554
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 81
14.6%
2 81
14.6%
0 73
13.2%
8 60
10.8%
3 44
7.9%
7 44
7.9%
1 41
7.4%
5 39
7.0%
4 33
6.0%
6 30
 
5.4%
Other values (4) 28
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 554
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 81
14.6%
2 81
14.6%
0 73
13.2%
8 60
10.8%
3 44
7.9%
7 44
7.9%
1 41
7.4%
5 39
7.0%
4 33
6.0%
6 30
 
5.4%
Other values (4) 28
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

소재지우편번호
Text

MISSING 

Distinct23
Distinct (%)63.9%
Missing46
Missing (%)56.1%
Memory size788.0 B
2024-04-30T04:22:18.680541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0277778
Min length6

Characters and Unicode

Total characters217
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

Unique14 ?
Unique (%)38.9%

Sample

1st row156800
2nd row156849
3rd row156800
4th row156807
5th row156832
ValueCountFrequency (%)
156807 4
 
11.1%
156808 3
 
8.3%
156800 3
 
8.3%
156832 2
 
5.6%
156761 2
 
5.6%
156817 2
 
5.6%
156031 2
 
5.6%
156849 2
 
5.6%
156020 2
 
5.6%
156847 1
 
2.8%
Other values (13) 13
36.1%
2024-04-30T04:22:18.956958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 48
22.1%
6 39
18.0%
5 38
17.5%
8 35
16.1%
0 25
11.5%
7 9
 
4.1%
4 8
 
3.7%
3 6
 
2.8%
2 5
 
2.3%
9 3
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 216
99.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 48
22.2%
6 39
18.1%
5 38
17.6%
8 35
16.2%
0 25
11.6%
7 9
 
4.2%
4 8
 
3.7%
3 6
 
2.8%
2 5
 
2.3%
9 3
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 217
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 48
22.1%
6 39
18.0%
5 38
17.5%
8 35
16.1%
0 25
11.5%
7 9
 
4.1%
4 8
 
3.7%
3 6
 
2.8%
2 5
 
2.3%
9 3
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 217
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 48
22.1%
6 39
18.0%
5 38
17.5%
8 35
16.1%
0 25
11.5%
7 9
 
4.1%
4 8
 
3.7%
3 6
 
2.8%
2 5
 
2.3%
9 3
 
1.4%
Distinct80
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size788.0 B
2024-04-30T04:22:19.140692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length32.5
Mean length25.512195
Min length14

Characters and Unicode

Total characters2092
Distinct characters135
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)95.1%

Sample

1st row서울특별시 동작구 노량진동 54-17번지
2nd row서울특별시 동작구 신대방동 395-68번지
3rd row서울특별시 동작구 노량진동 27-2번지 씨티스기독교텔레비젼방송국 8층 804호
4th row서울특별시 동작구 대방동 50-7번지
5th row서울특별시 동작구 상도동 363-142번지 창건빌딩 311호
ValueCountFrequency (%)
서울특별시 81
20.4%
동작구 81
20.4%
상도동 16
 
4.0%
사당동 16
 
4.0%
대방동 15
 
3.8%
신대방동 14
 
3.5%
노량진동 12
 
3.0%
1층 5
 
1.3%
50-7번지 3
 
0.8%
3층 3
 
0.8%
Other values (136) 151
38.0%
2024-04-30T04:22:19.446499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
361
17.3%
174
 
8.3%
1 84
 
4.0%
84
 
4.0%
82
 
3.9%
82
 
3.9%
82
 
3.9%
82
 
3.9%
81
 
3.9%
81
 
3.9%
Other values (125) 899
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1267
60.6%
Decimal Number 403
 
19.3%
Space Separator 361
 
17.3%
Dash Punctuation 59
 
2.8%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
174
 
13.7%
84
 
6.6%
82
 
6.5%
82
 
6.5%
82
 
6.5%
82
 
6.5%
81
 
6.4%
81
 
6.4%
42
 
3.3%
41
 
3.2%
Other values (111) 436
34.4%
Decimal Number
ValueCountFrequency (%)
1 84
20.8%
3 77
19.1%
0 43
10.7%
5 41
10.2%
2 39
9.7%
6 34
8.4%
4 29
 
7.2%
7 25
 
6.2%
9 19
 
4.7%
8 12
 
3.0%
Space Separator
ValueCountFrequency (%)
361
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1267
60.6%
Common 825
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
174
 
13.7%
84
 
6.6%
82
 
6.5%
82
 
6.5%
82
 
6.5%
82
 
6.5%
81
 
6.4%
81
 
6.4%
42
 
3.3%
41
 
3.2%
Other values (111) 436
34.4%
Common
ValueCountFrequency (%)
361
43.8%
1 84
 
10.2%
3 77
 
9.3%
- 59
 
7.2%
0 43
 
5.2%
5 41
 
5.0%
2 39
 
4.7%
6 34
 
4.1%
4 29
 
3.5%
7 25
 
3.0%
Other values (4) 33
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1267
60.6%
ASCII 825
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
361
43.8%
1 84
 
10.2%
3 77
 
9.3%
- 59
 
7.2%
0 43
 
5.2%
5 41
 
5.0%
2 39
 
4.7%
6 34
 
4.1%
4 29
 
3.5%
7 25
 
3.0%
Other values (4) 33
 
4.0%
Hangul
ValueCountFrequency (%)
174
 
13.7%
84
 
6.6%
82
 
6.5%
82
 
6.5%
82
 
6.5%
82
 
6.5%
81
 
6.4%
81
 
6.4%
42
 
3.3%
41
 
3.2%
Other values (111) 436
34.4%

도로명주소
Text

MISSING 

Distinct78
Distinct (%)97.5%
Missing2
Missing (%)2.4%
Memory size788.0 B
2024-04-30T04:22:19.678216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length45.5
Mean length34.0875
Min length22

Characters and Unicode

Total characters2727
Distinct characters159
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)95.0%

Sample

1st row서울특별시 동작구 보라매로5가길 24 (신대방동)
2nd row서울특별시 동작구 노량진로 100, 804호 (노량진동,씨티스기독교텔레비젼방송국 8층)
3rd row서울특별시 동작구 등용로 128 (대방동)
4th row서울특별시 동작구 상도로15길 143, 311호 (상도동,창건빌딩)
5th row서울특별시 동작구 등용로 128 (대방동)
ValueCountFrequency (%)
서울특별시 79
 
15.5%
동작구 79
 
15.5%
사당동 14
 
2.7%
상도동 14
 
2.7%
신대방동 10
 
2.0%
노량진동 10
 
2.0%
상도로 10
 
2.0%
대방동 8
 
1.6%
2층 8
 
1.6%
사당로 8
 
1.6%
Other values (201) 271
53.0%
2024-04-30T04:22:20.014663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
455
 
16.7%
186
 
6.8%
1 116
 
4.3%
91
 
3.3%
, 85
 
3.1%
( 81
 
3.0%
) 81
 
3.0%
80
 
2.9%
80
 
2.9%
80
 
2.9%
Other values (149) 1392
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1595
58.5%
Space Separator 455
 
16.7%
Decimal Number 421
 
15.4%
Other Punctuation 85
 
3.1%
Open Punctuation 81
 
3.0%
Close Punctuation 81
 
3.0%
Dash Punctuation 8
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
186
 
11.7%
91
 
5.7%
80
 
5.0%
80
 
5.0%
80
 
5.0%
80
 
5.0%
80
 
5.0%
79
 
5.0%
75
 
4.7%
57
 
3.6%
Other values (133) 707
44.3%
Decimal Number
ValueCountFrequency (%)
1 116
27.6%
2 76
18.1%
3 52
12.4%
0 42
 
10.0%
8 30
 
7.1%
4 29
 
6.9%
5 27
 
6.4%
6 24
 
5.7%
9 19
 
4.5%
7 6
 
1.4%
Space Separator
ValueCountFrequency (%)
455
100.0%
Other Punctuation
ValueCountFrequency (%)
, 85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1595
58.5%
Common 1131
41.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
186
 
11.7%
91
 
5.7%
80
 
5.0%
80
 
5.0%
80
 
5.0%
80
 
5.0%
80
 
5.0%
79
 
5.0%
75
 
4.7%
57
 
3.6%
Other values (133) 707
44.3%
Common
ValueCountFrequency (%)
455
40.2%
1 116
 
10.3%
, 85
 
7.5%
( 81
 
7.2%
) 81
 
7.2%
2 76
 
6.7%
3 52
 
4.6%
0 42
 
3.7%
8 30
 
2.7%
4 29
 
2.6%
Other values (5) 84
 
7.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1595
58.5%
ASCII 1132
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
455
40.2%
1 116
 
10.2%
, 85
 
7.5%
( 81
 
7.2%
) 81
 
7.2%
2 76
 
6.7%
3 52
 
4.6%
0 42
 
3.7%
8 30
 
2.7%
4 29
 
2.6%
Other values (6) 85
 
7.5%
Hangul
ValueCountFrequency (%)
186
 
11.7%
91
 
5.7%
80
 
5.0%
80
 
5.0%
80
 
5.0%
80
 
5.0%
80
 
5.0%
79
 
5.0%
75
 
4.7%
57
 
3.6%
Other values (133) 707
44.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)78.0%
Missing32
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean15966.36
Minimum6913
Maximum156800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2024-04-30T04:22:20.124652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6913
5-th percentile6915.8
Q16964.25
median7005
Q37040.5
95-th percentile88999.45
Maximum156800
Range149887
Interquartile range (IQR)76.25

Descriptive statistics

Standard deviation35873.636
Coefficient of variation (CV)2.2468262
Kurtosis13.124706
Mean15966.36
Median Absolute Deviation (MAD)38.5
Skewness3.8210963
Sum798318
Variance1.2869178 × 109
MonotonicityNot monotonic
2024-04-30T04:22:20.234807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
7012 3
 
3.7%
7005 3
 
3.7%
7071 2
 
2.4%
7025 2
 
2.4%
7056 2
 
2.4%
6925 2
 
2.4%
6913 2
 
2.4%
6993 2
 
2.4%
7027 2
 
2.4%
7049 1
 
1.2%
Other values (29) 29
35.4%
(Missing) 32
39.0%
ValueCountFrequency (%)
6913 2
2.4%
6914 1
1.2%
6918 1
1.2%
6919 1
1.2%
6920 1
1.2%
6922 1
1.2%
6925 2
2.4%
6937 1
1.2%
6943 1
1.2%
6953 1
1.2%
ValueCountFrequency (%)
156800 1
1.2%
156761 1
1.2%
156031 1
1.2%
7072 1
1.2%
7071 2
2.4%
7069 1
1.2%
7065 1
1.2%
7056 2
2.4%
7049 1
1.2%
7042 1
1.2%

사업장명
Text

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
2024-04-30T04:22:20.412511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.3170732
Min length3

Characters and Unicode

Total characters682
Distinct characters175
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)100.0%

Sample

1st row(주)보아항공여행사
2nd row(주)해명관광여행사
3rd row(주)브니엘 항공
4th row(주)유니온항공
5th row(주)클럽포시즌
ValueCountFrequency (%)
주식회사 14
 
13.1%
3
 
2.8%
여행사 3
 
2.8%
주)에이원티앤씨 1
 
0.9%
라온여행사 1
 
0.9%
누구나투어 1
 
0.9%
제이와이여행사 1
 
0.9%
주)흥겨운여행 1
 
0.9%
푸켓지에스투어 1
 
0.9%
예약센터(주 1
 
0.9%
Other values (80) 80
74.8%
2024-04-30T04:22:20.903454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57
 
8.4%
) 44
 
6.5%
( 44
 
6.5%
36
 
5.3%
25
 
3.7%
25
 
3.7%
25
 
3.7%
21
 
3.1%
21
 
3.1%
19
 
2.8%
Other values (165) 365
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 563
82.6%
Close Punctuation 44
 
6.5%
Open Punctuation 44
 
6.5%
Space Separator 25
 
3.7%
Uppercase Letter 6
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
57
 
10.1%
36
 
6.4%
25
 
4.4%
25
 
4.4%
21
 
3.7%
21
 
3.7%
19
 
3.4%
17
 
3.0%
15
 
2.7%
13
 
2.3%
Other values (157) 314
55.8%
Uppercase Letter
ValueCountFrequency (%)
Y 2
33.3%
C 1
16.7%
K 1
16.7%
M 1
16.7%
I 1
16.7%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Space Separator
ValueCountFrequency (%)
25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 563
82.6%
Common 113
 
16.6%
Latin 6
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
57
 
10.1%
36
 
6.4%
25
 
4.4%
25
 
4.4%
21
 
3.7%
21
 
3.7%
19
 
3.4%
17
 
3.0%
15
 
2.7%
13
 
2.3%
Other values (157) 314
55.8%
Latin
ValueCountFrequency (%)
Y 2
33.3%
C 1
16.7%
K 1
16.7%
M 1
16.7%
I 1
16.7%
Common
ValueCountFrequency (%)
) 44
38.9%
( 44
38.9%
25
22.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 563
82.6%
ASCII 119
 
17.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
57
 
10.1%
36
 
6.4%
25
 
4.4%
25
 
4.4%
21
 
3.7%
21
 
3.7%
19
 
3.4%
17
 
3.0%
15
 
2.7%
13
 
2.3%
Other values (157) 314
55.8%
ASCII
ValueCountFrequency (%)
) 44
37.0%
( 44
37.0%
25
21.0%
Y 2
 
1.7%
C 1
 
0.8%
K 1
 
0.8%
M 1
 
0.8%
I 1
 
0.8%
Distinct81
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size788.0 B
Minimum2003-04-18 11:55:44
Maximum2024-04-16 15:37:42
2024-04-30T04:22:21.039558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:22:21.180632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
U
42 
I
40 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 42
51.2%
I 40
48.8%

Length

2024-04-30T04:22:21.288340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:21.363345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 42
51.2%
i 40
48.8%
Distinct37
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Memory size788.0 B
2018-08-31 23:59:59.0
34 
2022-03-20 02:40:00.0
2021-12-07 22:06:00.0
2019-09-04 02:40:00.0
 
3
2021-08-12 02:40:00.0
 
2
Other values (32)
33 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique31 ?
Unique (%)37.8%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2019-03-28 02:40:00.0
4th row2018-08-31 23:59:59.0
5th row2020-05-31 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 34
41.5%
2022-03-20 02:40:00.0 5
 
6.1%
2021-12-07 22:06:00.0 5
 
6.1%
2019-09-04 02:40:00.0 3
 
3.7%
2021-08-12 02:40:00.0 2
 
2.4%
2021-12-06 23:02:00.0 2
 
2.4%
2021-08-11 02:40:00.0 1
 
1.2%
2022-12-05 23:00:00.0 1
 
1.2%
2019-03-28 02:40:00.0 1
 
1.2%
2019-08-29 02:40:00.0 1
 
1.2%
Other values (27) 27
32.9%

Length

2024-04-30T04:22:21.443845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 34
20.7%
23:59:59.0 34
20.7%
02:40:00.0 24
14.6%
2022-03-20 5
 
3.0%
2021-12-07 5
 
3.0%
22:06:00.0 5
 
3.0%
2019-09-04 3
 
1.8%
2021-12-06 3
 
1.8%
23:02:00.0 3
 
1.8%
2022-12-08 2
 
1.2%
Other values (39) 46
28.0%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

좌표정보(X)
Real number (ℝ)

Distinct74
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195309.5
Minimum191691.68
Maximum211200.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2024-04-30T04:22:21.548570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191691.68
5-th percentile192216.13
Q1193589.61
median194840.21
Q3196529.28
95-th percentile198245.47
Maximum211200.05
Range19508.368
Interquartile range (IQR)2939.68

Descriptive statistics

Standard deviation2593.3417
Coefficient of variation (CV)0.013278114
Kurtosis16.21871
Mean195309.5
Median Absolute Deviation (MAD)1418.9578
Skewness2.9112872
Sum16015379
Variance6725421.2
MonotonicityNot monotonic
2024-04-30T04:22:21.677793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193934.75494832 3
 
3.7%
193204.782207917 2
 
2.4%
193273.484014052 2
 
2.4%
193399.632760779 2
 
2.4%
193712.567320342 2
 
2.4%
194623.506241481 2
 
2.4%
197770.935194648 2
 
2.4%
194660.209040651 1
 
1.2%
194006.732968171 1
 
1.2%
191798.777721855 1
 
1.2%
Other values (64) 64
78.0%
ValueCountFrequency (%)
191691.678396263 1
1.2%
191798.777721855 1
1.2%
191863.175780202 1
1.2%
192113.200600983 1
1.2%
192179.367216271 1
1.2%
192914.689669509 1
1.2%
193068.629290662 1
1.2%
193140.052317678 1
1.2%
193176.63667583 1
1.2%
193204.782207917 2
2.4%
ValueCountFrequency (%)
211200.046775342 1
1.2%
198428.611275 1
1.2%
198366.483082717 1
1.2%
198251.38303105 1
1.2%
198246.827845739 1
1.2%
198219.62539711 1
1.2%
198161.292479758 1
1.2%
198158.495798976 1
1.2%
198107.125196107 1
1.2%
198024.667870158 1
1.2%

좌표정보(Y)
Real number (ℝ)

Distinct74
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443890.29
Minimum434263.68
Maximum445746.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2024-04-30T04:22:21.807796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum434263.68
5-th percentile442243.35
Q1443106.2
median444069.71
Q3444947.52
95-th percentile445636.41
Maximum445746.93
Range11483.251
Interquartile range (IQR)1841.3243

Descriptive statistics

Standard deviation1544.5462
Coefficient of variation (CV)0.0034795674
Kurtosis17.51203
Mean443890.29
Median Absolute Deviation (MAD)906.2169
Skewness-3.019903
Sum36399004
Variance2385623
MonotonicityNot monotonic
2024-04-30T04:22:21.946095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445601.626820886 3
 
3.7%
443168.51356024 2
 
2.4%
445011.250115029 2
 
2.4%
445431.043104523 2
 
2.4%
444141.942093412 2
 
2.4%
444947.524960019 2
 
2.4%
442367.680800411 2
 
2.4%
445637.110993418 1
 
1.2%
444107.903364227 1
 
1.2%
442907.234767329 1
 
1.2%
Other values (64) 64
78.0%
ValueCountFrequency (%)
434263.681539619 1
1.2%
441702.171343117 1
1.2%
441793.998188093 1
1.2%
441918.147688786 1
1.2%
442236.809508538 1
1.2%
442367.680800411 2
2.4%
442375.922983994 1
1.2%
442381.630987122 1
1.2%
442442.466640344 1
1.2%
442455.749023049 1
1.2%
ValueCountFrequency (%)
445746.932149292 1
 
1.2%
445662.008841519 1
 
1.2%
445637.957918936 1
 
1.2%
445637.763312173 1
 
1.2%
445637.110993418 1
 
1.2%
445623.080168564 1
 
1.2%
445601.626820886 3
3.7%
445490.153734 1
 
1.2%
445431.043104523 2
2.4%
445413.288375132 1
 
1.2%
Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
국내외여행업
58 
<NA>
24 

Length

Max length6
Median length6
Mean length5.4146341
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 58
70.7%
<NA> 24
29.3%

Length

2024-04-30T04:22:22.063201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:22.152251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 58
70.7%
na 24
29.3%
Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
54 
관광사업
28 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 54
65.9%
관광사업 28
34.1%

Length

2024-04-30T04:22:22.235754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:22.316351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
65.9%
관광사업 28
34.1%

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
69 
근린상업지역
 
4
일반주거지역
 
4
주거지역
 
2
일반상업지역
 
2

Length

Max length6
Median length4
Mean length4.2439024
Min length4

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 69
84.1%
근린상업지역 4
 
4.9%
일반주거지역 4
 
4.9%
주거지역 2
 
2.4%
일반상업지역 2
 
2.4%
상업지역 1
 
1.2%

Length

2024-04-30T04:22:22.422108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:22.532189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
84.1%
근린상업지역 4
 
4.9%
일반주거지역 4
 
4.9%
주거지역 2
 
2.4%
일반상업지역 2
 
2.4%
상업지역 1
 
1.2%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)37.5%
Missing58
Missing (%)70.7%
Infinite0
Infinite (%)0.0%
Mean4.375
Minimum0
Maximum36
Zeros10
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size870.0 B
2024-04-30T04:22:22.633929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35.25
95-th percentile13.8
Maximum36
Range36
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation7.6545667
Coefficient of variation (CV)1.7496152
Kurtosis13.290988
Mean4.375
Median Absolute Deviation (MAD)2
Skewness3.3849539
Sum105
Variance58.592391
MonotonicityNot monotonic
2024-04-30T04:22:22.735851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 10
 
12.2%
7 3
 
3.7%
2 3
 
3.7%
5 2
 
2.4%
4 2
 
2.4%
6 1
 
1.2%
3 1
 
1.2%
36 1
 
1.2%
15 1
 
1.2%
(Missing) 58
70.7%
ValueCountFrequency (%)
0 10
12.2%
2 3
 
3.7%
3 1
 
1.2%
4 2
 
2.4%
5 2
 
2.4%
6 1
 
1.2%
7 3
 
3.7%
15 1
 
1.2%
36 1
 
1.2%
ValueCountFrequency (%)
36 1
 
1.2%
15 1
 
1.2%
7 3
 
3.7%
6 1
 
1.2%
5 2
 
2.4%
4 2
 
2.4%
3 1
 
1.2%
2 3
 
3.7%
0 10
12.2%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
69 
주택가주변
아파트지역
 
4
기타
 
2

Length

Max length5
Median length4
Mean length4.0853659
Min length2

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> 69
84.1%
주택가주변 7
 
8.5%
아파트지역 4
 
4.9%
기타 2
 
2.4%

Length

2024-04-30T04:22:22.866464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:22.951575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
84.1%
주택가주변 7
 
8.5%
아파트지역 4
 
4.9%
기타 2
 
2.4%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

보험기관명
Categorical

Distinct15
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
53 
서울보증보험주식회사
서울보증보험
서울특별시 관광협회
 
2
서울시관광협회
 
2
Other values (10)
11 

Length

Max length15
Median length4
Mean length5.8658537
Min length4

Unique

Unique9 ?
Unique (%)11.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
64.6%
서울보증보험주식회사 8
 
9.8%
서울보증보험 6
 
7.3%
서울특별시 관광협회 2
 
2.4%
서울시관광협회 2
 
2.4%
서울보증보험(3천만) 2
 
2.4%
서울특별시관광협회 1
 
1.2%
서울시 관광협회 1
 
1.2%
한국관광협회중앙회여행공제회 1
 
1.2%
한국관광협회 1
 
1.2%
Other values (5) 5
 
6.1%

Length

2024-04-30T04:22:23.051591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 53
60.9%
서울보증보험주식회사 8
 
9.2%
서울보증보험 7
 
8.0%
관광협회 3
 
3.4%
서울특별시 2
 
2.3%
서울시관광협회 2
 
2.3%
서울보증보험(3천만 2
 
2.3%
서울보증보험(3천만원 1
 
1.1%
한국관광협회중앙회 1
 
1.1%
주식회사 1
 
1.1%
Other values (7) 7
 
8.0%

건물용도명
Categorical

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
66 
근린생활시설
13 
사무실
 
3

Length

Max length6
Median length4
Mean length4.2804878
Min length3

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> 66
80.5%
근린생활시설 13
 
15.9%
사무실 3
 
3.7%

Length

2024-04-30T04:22:23.167618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:23.266812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 66
80.5%
근린생활시설 13
 
15.9%
사무실 3
 
3.7%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)33.3%
Missing58
Missing (%)70.7%
Infinite0
Infinite (%)0.0%
Mean4
Minimum0
Maximum36
Zeros10
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size870.0 B
2024-04-30T04:22:23.343535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile9.55
Maximum36
Range36
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.4015275
Coefficient of variation (CV)1.8503819
Kurtosis16.37066
Mean4
Median Absolute Deviation (MAD)2
Skewness3.7872141
Sum96
Variance54.782609
MonotonicityNot monotonic
2024-04-30T04:22:23.449132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 10
 
12.2%
2 4
 
4.9%
4 3
 
3.7%
5 2
 
2.4%
7 2
 
2.4%
6 1
 
1.2%
36 1
 
1.2%
10 1
 
1.2%
(Missing) 58
70.7%
ValueCountFrequency (%)
0 10
12.2%
2 4
 
4.9%
4 3
 
3.7%
5 2
 
2.4%
6 1
 
1.2%
7 2
 
2.4%
10 1
 
1.2%
36 1
 
1.2%
ValueCountFrequency (%)
36 1
 
1.2%
10 1
 
1.2%
7 2
 
2.4%
6 1
 
1.2%
5 2
 
2.4%
4 3
 
3.7%
2 4
 
4.9%
0 10
12.2%

지하층수
Categorical

Distinct5
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
60 
0
10 
1
10 
7
 
1
5
 
1

Length

Max length4
Median length4
Mean length3.195122
Min length1

Unique

Unique2 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
73.2%
0 10
 
12.2%
1 10
 
12.2%
7 1
 
1.2%
5 1
 
1.2%

Length

2024-04-30T04:22:23.570705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:23.667711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
73.2%
0 10
 
12.2%
1 10
 
12.2%
7 1
 
1.2%
5 1
 
1.2%

객실수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
72 
0
10 

Length

Max length4
Median length4
Mean length3.6341463
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> 72
87.8%
0 10
 
12.2%

Length

2024-04-30T04:22:23.793147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:23.901751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
87.8%
0 10
 
12.2%

건축연면적
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
72 
0
10 

Length

Max length4
Median length4
Mean length3.6341463
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> 72
87.8%
0 10
 
12.2%

Length

2024-04-30T04:22:24.007030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:24.097366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
87.8%
0 10
 
12.2%

영문상호명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing79
Missing (%)96.3%
Memory size788.0 B
2024-04-30T04:22:24.235342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length24.666667
Min length19

Characters and Unicode

Total characters74
Distinct characters35
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowHANA LUCKY TRAVELco., Ltd
2nd rowTTS ENTERPRISES.INC
3rd rowPrivate company FOLLOW ME TOUR
ValueCountFrequency (%)
hana 1
9.1%
lucky 1
9.1%
travelco 1
9.1%
ltd 1
9.1%
tts 1
9.1%
enterprises.inc 1
9.1%
private 1
9.1%
company 1
9.1%
follow 1
9.1%
me 1
9.1%
2024-04-30T04:22:24.516021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
10.8%
E 5
 
6.8%
L 5
 
6.8%
T 5
 
6.8%
R 4
 
5.4%
N 3
 
4.1%
S 3
 
4.1%
O 3
 
4.1%
A 3
 
4.1%
o 2
 
2.7%
Other values (25) 33
44.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 46
62.2%
Lowercase Letter 17
 
23.0%
Space Separator 8
 
10.8%
Other Punctuation 3
 
4.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 5
10.9%
L 5
10.9%
T 5
10.9%
R 4
 
8.7%
N 3
 
6.5%
S 3
 
6.5%
O 3
 
6.5%
A 3
 
6.5%
I 2
 
4.3%
P 2
 
4.3%
Other values (9) 11
23.9%
Lowercase Letter
ValueCountFrequency (%)
o 2
11.8%
t 2
11.8%
c 2
11.8%
a 2
11.8%
y 1
 
5.9%
n 1
 
5.9%
p 1
 
5.9%
m 1
 
5.9%
e 1
 
5.9%
v 1
 
5.9%
Other values (3) 3
17.6%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 63
85.1%
Common 11
 
14.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 5
 
7.9%
L 5
 
7.9%
T 5
 
7.9%
R 4
 
6.3%
N 3
 
4.8%
S 3
 
4.8%
O 3
 
4.8%
A 3
 
4.8%
o 2
 
3.2%
I 2
 
3.2%
Other values (22) 28
44.4%
Common
ValueCountFrequency (%)
8
72.7%
. 2
 
18.2%
, 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 74
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8
 
10.8%
E 5
 
6.8%
L 5
 
6.8%
T 5
 
6.8%
R 4
 
5.4%
N 3
 
4.1%
S 3
 
4.1%
O 3
 
4.1%
A 3
 
4.1%
o 2
 
2.7%
Other values (25) 33
44.6%

영문상호주소
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing79
Missing (%)96.3%
Memory size788.0 B
2024-04-30T04:22:24.634094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters72
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowOutbound Travel Business
2nd rowOverseas Travel Business
3rd rowOVERSEAS TRAVEL BUSINESS
ValueCountFrequency (%)
travel 3
33.3%
business 3
33.3%
overseas 2
22.2%
outbound 1
 
11.1%
2024-04-30T04:22:24.851813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 8
 
11.1%
6
 
8.3%
e 6
 
8.3%
S 5
 
6.9%
E 4
 
5.6%
u 4
 
5.6%
O 3
 
4.2%
n 3
 
4.2%
T 3
 
4.2%
r 3
 
4.2%
Other values (16) 27
37.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 38
52.8%
Uppercase Letter 28
38.9%
Space Separator 6
 
8.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 8
21.1%
e 6
15.8%
u 4
10.5%
n 3
 
7.9%
r 3
 
7.9%
a 3
 
7.9%
v 3
 
7.9%
l 2
 
5.3%
i 2
 
5.3%
d 1
 
2.6%
Other values (3) 3
 
7.9%
Uppercase Letter
ValueCountFrequency (%)
S 5
17.9%
E 4
14.3%
O 3
10.7%
T 3
10.7%
B 3
10.7%
V 2
 
7.1%
A 2
 
7.1%
R 2
 
7.1%
L 1
 
3.6%
U 1
 
3.6%
Other values (2) 2
 
7.1%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 66
91.7%
Common 6
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 8
 
12.1%
e 6
 
9.1%
S 5
 
7.6%
E 4
 
6.1%
u 4
 
6.1%
O 3
 
4.5%
n 3
 
4.5%
T 3
 
4.5%
r 3
 
4.5%
a 3
 
4.5%
Other values (15) 24
36.4%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 8
 
11.1%
6
 
8.3%
e 6
 
8.3%
S 5
 
6.9%
E 4
 
5.6%
u 4
 
5.6%
O 3
 
4.2%
n 3
 
4.2%
T 3
 
4.2%
r 3
 
4.2%
Other values (16) 27
37.5%

선박총톤수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
72 
0
10 

Length

Max length4
Median length4
Mean length3.6341463
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> 72
87.8%
0 10
 
12.2%

Length

2024-04-30T04:22:24.973779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:25.064324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
87.8%
0 10
 
12.2%

선박척수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
72 
0
10 

Length

Max length4
Median length4
Mean length3.6341463
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> 72
87.8%
0 10
 
12.2%

Length

2024-04-30T04:22:25.157757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:25.251428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
87.8%
0 10
 
12.2%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

무대면적
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
72 
0
10 

Length

Max length4
Median length4
Mean length3.6341463
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> 72
87.8%
0 10
 
12.2%

Length

2024-04-30T04:22:25.347658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:25.436461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
87.8%
0 10
 
12.2%

좌석수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
72 
0
10 

Length

Max length4
Median length4
Mean length3.6341463
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> 72
87.8%
0 10
 
12.2%

Length

2024-04-30T04:22:25.537122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:25.632445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
87.8%
0 10
 
12.2%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B
Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
72 
0
10 

Length

Max length4
Median length4
Mean length3.6341463
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> 72
87.8%
0 10
 
12.2%

Length

2024-04-30T04:22:25.729602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:25.825339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
87.8%
0 10
 
12.2%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)58.6%
Missing53
Missing (%)64.6%
Infinite0
Infinite (%)0.0%
Mean23.567586
Minimum0
Maximum102.23
Zeros12
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size870.0 B
2024-04-30T04:22:25.906036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12
Q337.03
95-th percentile75.266
Maximum102.23
Range102.23
Interquartile range (IQR)37.03

Descriptive statistics

Standard deviation28.675365
Coefficient of variation (CV)1.216729
Kurtosis0.59566522
Mean23.567586
Median Absolute Deviation (MAD)12
Skewness1.1742511
Sum683.46
Variance822.27658
MonotonicityNot monotonic
2024-04-30T04:22:26.230508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 12
 
14.6%
12.0 2
 
2.4%
56.0 1
 
1.2%
30.1 1
 
1.2%
45.0 1
 
1.2%
33.0 1
 
1.2%
8.93 1
 
1.2%
57.21 1
 
1.2%
76.03 1
 
1.2%
16.86 1
 
1.2%
Other values (7) 7
 
8.5%
(Missing) 53
64.6%
ValueCountFrequency (%)
0.0 12
14.6%
8.93 1
 
1.2%
10.92 1
 
1.2%
12.0 2
 
2.4%
16.86 1
 
1.2%
26.56 1
 
1.2%
27.3 1
 
1.2%
30.1 1
 
1.2%
33.0 1
 
1.2%
37.03 1
 
1.2%
ValueCountFrequency (%)
102.23 1
1.2%
76.03 1
1.2%
74.12 1
1.2%
58.17 1
1.2%
57.21 1
1.2%
56.0 1
1.2%
45.0 1
1.2%
37.03 1
1.2%
33.0 1
1.2%
30.1 1
1.2%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
72 
0
10 

Length

Max length4
Median length4
Mean length3.6341463
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> 72
87.8%
0 10
 
12.2%

Length

2024-04-30T04:22:26.333133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:26.435856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
87.8%
0 10
 
12.2%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
81 
20180804
 
1

Length

Max length8
Median length4
Mean length4.0487805
Min length4

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 81
98.8%
20180804 1
 
1.2%

Length

2024-04-30T04:22:26.537484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:26.648455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
98.8%
20180804 1
 
1.2%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
<NA>
81 
20190803
 
1

Length

Max length8
Median length4
Mean length4.0487805
Min length4

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 81
98.8%
20190803 1
 
1.2%

Length

2024-04-30T04:22:26.812779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:22:26.948426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
98.8%
20190803 1
 
1.2%

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)36.6%
Missing41
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean74299200
Minimum0
Maximum1.5 × 108
Zeros2
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size870.0 B
2024-04-30T04:22:27.057328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11000000
Q160000000
median90000000
Q31 × 108
95-th percentile1 × 108
Maximum1.5 × 108
Range1.5 × 108
Interquartile range (IQR)40000000

Descriptive statistics

Standard deviation34499846
Coefficient of variation (CV)0.46433671
Kurtosis-0.27825833
Mean74299200
Median Absolute Deviation (MAD)17625000
Skewness-0.50995444
Sum3.0462672 × 109
Variance1.1902394 × 1015
MonotonicityNot monotonic
2024-04-30T04:22:27.171783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
100000000 17
20.7%
60000000 5
 
6.1%
30000000 5
 
6.1%
0 2
 
2.4%
90000000 2
 
2.4%
150000000 1
 
1.2%
118341000 1
 
1.2%
72375000 1
 
1.2%
61740355 1
 
1.2%
76000000 1
 
1.2%
Other values (5) 5
 
6.1%
(Missing) 41
50.0%
ValueCountFrequency (%)
0 2
 
2.4%
11000000 1
 
1.2%
30000000 5
6.1%
30348680 1
 
1.2%
60000000 5
6.1%
61740355 1
 
1.2%
64000000 1
 
1.2%
65000000 1
 
1.2%
67462168 1
 
1.2%
72375000 1
 
1.2%
ValueCountFrequency (%)
150000000 1
 
1.2%
118341000 1
 
1.2%
100000000 17
20.7%
90000000 2
 
2.4%
76000000 1
 
1.2%
72375000 1
 
1.2%
67462168 1
 
1.2%
65000000 1
 
1.2%
64000000 1
 
1.2%
61740355 1
 
1.2%

보험시작일자
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing51
Missing (%)62.2%
Infinite0
Infinite (%)0.0%
Mean20159649
Minimum20050307
Maximum20210616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2024-04-30T04:22:27.269722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050307
5-th percentile20061176
Q120130361
median20190413
Q320191068
95-th percentile20210310
Maximum20210616
Range160309
Interquartile range (IQR)60706.5

Descriptive statistics

Standard deviation49914.35
Coefficient of variation (CV)0.0024759533
Kurtosis-0.22801257
Mean20159649
Median Absolute Deviation (MAD)19999
Skewness-0.98415618
Sum6.2494912 × 108
Variance2.4914424 × 109
MonotonicityNot monotonic
2024-04-30T04:22:27.373229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20130601 1
 
1.2%
20190514 1
 
1.2%
20210412 1
 
1.2%
20200306 1
 
1.2%
20200316 1
 
1.2%
20190905 1
 
1.2%
20191125 1
 
1.2%
20190804 1
 
1.2%
20190621 1
 
1.2%
20190413 1
 
1.2%
Other values (21) 21
25.6%
(Missing) 51
62.2%
ValueCountFrequency (%)
20050307 1
1.2%
20051221 1
1.2%
20071130 1
1.2%
20080227 1
1.2%
20080806 1
1.2%
20120101 1
1.2%
20120622 1
1.2%
20130121 1
1.2%
20130601 1
1.2%
20131101 1
1.2%
ValueCountFrequency (%)
20210616 1
1.2%
20210412 1
1.2%
20210208 1
1.2%
20210125 1
1.2%
20201212 1
1.2%
20200316 1
1.2%
20200306 1
1.2%
20191125 1
1.2%
20191010 1
1.2%
20190905 1
1.2%

보험종료일자
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing51
Missing (%)62.2%
Infinite0
Infinite (%)0.0%
Mean20169356
Minimum20060307
Maximum20220615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2024-04-30T04:22:27.481206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060307
5-th percentile20071175
Q120140326
median20200412
Q320201067
95-th percentile20220310
Maximum20220615
Range160308
Interquartile range (IQR)60741.5

Descriptive statistics

Standard deviation50176.294
Coefficient of variation (CV)0.002487749
Kurtosis-0.29852617
Mean20169356
Median Absolute Deviation (MAD)20000
Skewness-0.9647663
Sum6.2525002 × 108
Variance2.5176604 × 109
MonotonicityNot monotonic
2024-04-30T04:22:27.590637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20140530 1
 
1.2%
20200513 1
 
1.2%
20220412 1
 
1.2%
20210305 1
 
1.2%
20210315 1
 
1.2%
20200904 1
 
1.2%
20201124 1
 
1.2%
20200803 1
 
1.2%
20200621 1
 
1.2%
20200412 1
 
1.2%
Other values (21) 21
25.6%
(Missing) 51
62.2%
ValueCountFrequency (%)
20060307 1
1.2%
20061220 1
1.2%
20081130 1
1.2%
20090227 1
1.2%
20090805 1
1.2%
20121231 1
1.2%
20130621 1
1.2%
20140121 1
1.2%
20140530 1
1.2%
20141031 1
1.2%
ValueCountFrequency (%)
20220615 1
1.2%
20220412 1
1.2%
20220207 1
1.2%
20220124 1
1.2%
20211212 1
1.2%
20210315 1
1.2%
20210305 1
1.2%
20201124 1
1.2%
20201010 1
1.2%
20200904 1
1.2%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing82
Missing (%)100.0%
Memory size870.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)55.2%
Missing53
Missing (%)64.6%
Infinite0
Infinite (%)0.0%
Mean23.551724
Minimum0
Maximum102
Zeros12
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size870.0 B
2024-04-30T04:22:27.702727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12
Q337
95-th percentile75.2
Maximum102
Range102
Interquartile range (IQR)37

Descriptive statistics

Standard deviation28.622651
Coefficient of variation (CV)1.2153102
Kurtosis0.58912158
Mean23.551724
Median Absolute Deviation (MAD)12
Skewness1.1716351
Sum683
Variance819.25616
MonotonicityNot monotonic
2024-04-30T04:22:27.796851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 12
 
14.6%
27 2
 
2.4%
12 2
 
2.4%
57 1
 
1.2%
30 1
 
1.2%
45 1
 
1.2%
33 1
 
1.2%
9 1
 
1.2%
76 1
 
1.2%
56 1
 
1.2%
Other values (6) 6
 
7.3%
(Missing) 53
64.6%
ValueCountFrequency (%)
0 12
14.6%
9 1
 
1.2%
11 1
 
1.2%
12 2
 
2.4%
17 1
 
1.2%
27 2
 
2.4%
30 1
 
1.2%
33 1
 
1.2%
37 1
 
1.2%
45 1
 
1.2%
ValueCountFrequency (%)
102 1
1.2%
76 1
1.2%
74 1
1.2%
58 1
1.2%
57 1
1.2%
56 1
1.2%
45 1
1.2%
37 1
1.2%
33 1
1.2%
30 1
1.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03190000CDFI226002199700000119970529<NA>3폐업3폐업20090818<NA><NA><NA>825-5400<NA>156800서울특별시 동작구 노량진동 54-17번지<NA><NA>(주)보아항공여행사2009-08-18 17:43:14I2018-08-31 23:59:59.0<NA>194660.209041445637.110993국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>76.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>76
13190000CDFI226002199700000219971211<NA>3폐업3폐업20030821<NA><NA><NA>846-7788<NA>156849서울특별시 동작구 신대방동 395-68번지서울특별시 동작구 보라매로5가길 24 (신대방동)<NA>(주)해명관광여행사2003-08-21 20:34:22I2018-08-31 23:59:59.0<NA>193204.782208443168.51356국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>16.86<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>17
23190000CDFI226002199700000319970920<NA>3폐업3폐업20190325<NA><NA><NA><NA><NA>156800서울특별시 동작구 노량진동 27-2번지 씨티스기독교텔레비젼방송국 8층 804호서울특별시 동작구 노량진로 100, 804호 (노량진동,씨티스기독교텔레비젼방송국 8층)<NA>(주)브니엘 항공2019-03-26 11:36:39U2019-03-28 02:40:00.0<NA>194360.477037445637.957919국내외여행업관광사업<NA><NA><NA><NA>서울특별시관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2005030720060307<NA><NA>
33190000CDFI226002200000000320001226<NA>3폐업3폐업20011005<NA><NA><NA><NA><NA>156807서울특별시 동작구 대방동 50-7번지서울특별시 동작구 등용로 128 (대방동)<NA>(주)유니온항공2003-04-18 11:56:11I2018-08-31 23:59:59.0<NA>193934.754948445601.626821국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
43190000CDFI226002200000000620000228<NA>3폐업3폐업20200529<NA><NA><NA>774-3007<NA>156832서울특별시 동작구 상도동 363-142번지 창건빌딩 311호서울특별시 동작구 상도로15길 143, 311호 (상도동,창건빌딩)<NA>(주)클럽포시즌2020-05-29 15:01:25U2020-05-31 02:40:00.0<NA>194510.028409444765.882842국내외여행업관광사업<NA><NA><NA><NA>서울특별시 관광협회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2013060120140530<NA><NA>
53190000CDFI226002200100000220010417<NA>3폐업3폐업20010417<NA><NA><NA>501-0308<NA>156807서울특별시 동작구 대방동 50-7번지서울특별시 동작구 등용로 128 (대방동)<NA>(주)연이여행사2003-04-18 11:55:44I2018-08-31 23:59:59.0<NA>193934.754948445601.626821국내외여행업관광사업<NA>0<NA><NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
63190000CDFI22600220010000032001-09-19<NA>1영업/정상13영업중<NA><NA><NA><NA>1599-2283<NA>156-849서울특별시 동작구 신대방동 395-70 26통1반서울특별시 동작구 보라매로5길 15 (신대방동)<NA>(주)세종세계관광2023-06-20 11:15:41U2022-12-05 22:02:00.0<NA>193232.027897443314.057205<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>
73190000CDFI226002200100000420011227<NA>1영업/정상13영업중<NA><NA><NA><NA>817-2841<NA>156807서울특별시 동작구 대방동 50-7번지 유정빌딩 311호서울특별시 동작구 등용로 128 (대방동,유정빌딩 311호)<NA>(주)아이투어메이트2003-04-18 11:55:44I2018-08-31 23:59:59.0<NA>193934.754948445601.626821국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
83190000CDFI226002200200000120020308<NA>3폐업3폐업20170523<NA><NA><NA>812-0400<NA>156800서울특별시 동작구 노량진동 67-10번지서울특별시 동작구 노량진로 155 (노량진동)156800(주)서문항공2017-05-23 17:21:18I2018-08-31 23:59:59.0<NA>194907.438103445746.932149국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
93190000CDFI226002200200000420020705<NA>1영업/정상13영업중<NA><NA><NA><NA>02-812-4190<NA><NA>서울특별시 동작구 대방동 393-64번지 동남빌딩서울특별시 동작구 대방동길 4, 동남빌딩 401호 (대방동)6953(주)레저캠프여행사2019-07-17 16:13:57U2019-07-19 02:40:00.0<NA>193578.08139444224.869664국내외여행업관광사업<NA>0<NA><NA>서울시 관광협회<NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>2019071120200711<NA>0
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
723190000CDFI22600220220000032022-08-23<NA>3폐업3폐업2023-03-16<NA><NA><NA>070-8648-0662<NA><NA>서울특별시 동작구 사당동 1001-33서울특별시 동작구 사당로 268, 2층 (사당동)7012에이랩코리아2023-03-16 08:51:20U2022-12-02 23:08:00.0<NA>197932.620227442381.630987<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>
733190000CDFI22600220220000042022-12-01<NA>3폐업3폐업2023-03-31<NA><NA><NA>070-8822-9942<NA><NA>서울특별시 동작구 노량진동 333 고려교육타워-어바니엘한강서울특별시 동작구 노량진로 190, 508호 (노량진동, 고려교육타워-어바니엘한강)6913주식회사 스마트지앤씨2023-03-31 16:38:19U2022-12-04 00:02:00.0<NA>195220.667532445637.763312<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>
743190000CDFI22600220230000012023-01-12<NA>5제외/삭제/전출15전출2024-03-07<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 1003-39서울특별시 동작구 사당로 286, 103호 (사당동)7013주식회사 삼진트래블2024-03-07 10:26:14U2023-12-03 00:09:00.0<NA>198107.125196442442.46664<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>
753190000CDFI22600220230000022023-08-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 33-14 청원기획서울특별시 동작구 상도로 258-1, 청원기획 315호 (상도동)6965주식회사 여행마루2023-08-10 13:15:55I2022-12-07 23:02:00.0<NA>195208.050662444646.543103<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>
763190000CDFI22600220230000032023-09-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 노량진동 325 상도신동아리버파크아파트서울특별시 동작구 만양로 19, 139호 (노량진동, 상도신동아리버파크아파트)6920주식회사 서울등산지원센터2023-09-12 13:32:44I2022-12-08 23:04:00.0<NA>195078.236176445024.485156<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>
773190000CDFI22600220230000042023-09-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 463서울특별시 동작구 상도로 321, 4층 (상도동)6971직진투어2023-09-27 12:47:53I2022-12-08 22:09:00.0<NA>195617.27983444141.795205<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>
783190000CDFI22600220230000052010-06-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-736-6565<NA><NA>서울특별시 동작구 사당동 105 사당우성아파트서울특별시 동작구 동작대로29길 91, 402호 (사당동, 사당우성아파트)6999(주)지구를걷는법2023-11-28 17:07:24I2022-10-31 21:00:00.0<NA>197802.436613443049.214039<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>
793190000CDFI22600220240000012019-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-318-4141<NA><NA>서울특별시 동작구 사당동 1042-9서울특별시 동작구 동작대로1길 10-4, 창동빌딩 6층 (사당동)7025(주)에이원티앤씨2024-01-25 17:10:09I2023-11-30 22:07:00.0<NA>198246.827846441702.171343<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>
803190000CDFI22600220240000022017-03-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 신대방동 395-62 삼성보라매옴니타워서울특별시 동작구 보라매로5길 23, 지하1층 114호 (신대방동, 삼성보라매옴니타워)7071제이와이여행사2024-02-19 18:35:43U2023-12-01 22:01:00.0<NA>193176.636676443379.171346<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>
813190000CDFI22600220240000032024-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 1015-1서울특별시 동작구 사당로22길 25, 301호 (사당동)7012액티벤처2024-04-16 15:37:42I2023-12-03 23:08:00.0<NA>197890.973873442236.809509<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>