Overview

Dataset statistics

Number of variables60
Number of observations97
Missing cells2536
Missing cells (%)43.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory49.5 KiB
Average record size in memory522.4 B

Variable types

Categorical22
Text7
DateTime4
Unsupported19
Numeric8

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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-17472/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (91.7%)Imbalance
휴업종료일자 is highly imbalanced (91.7%)Imbalance
지하층수 is highly imbalanced (54.0%)Imbalance
객실수 is highly imbalanced (53.4%)Imbalance
영문상호주소 is highly imbalanced (69.1%)Imbalance
인허가취소일자 has 97 (100.0%) missing valuesMissing
폐업일자 has 71 (73.2%) missing valuesMissing
재개업일자 has 97 (100.0%) missing valuesMissing
전화번호 has 93 (95.9%) missing valuesMissing
소재지면적 has 97 (100.0%) missing valuesMissing
소재지우편번호 has 86 (88.7%) missing valuesMissing
도로명우편번호 has 19 (19.6%) missing valuesMissing
업태구분명 has 97 (100.0%) missing valuesMissing
문화사업자구분명 has 97 (100.0%) missing valuesMissing
총층수 has 70 (72.2%) missing valuesMissing
제작취급품목내용 has 97 (100.0%) missing valuesMissing
보험기관명 has 97 (100.0%) missing valuesMissing
지상층수 has 72 (74.2%) missing valuesMissing
영문상호명 has 89 (91.8%) missing valuesMissing
선박제원 has 97 (100.0%) missing valuesMissing
기념품종류 has 97 (100.0%) missing valuesMissing
시설면적 has 59 (60.8%) missing valuesMissing
놀이기구수내역 has 97 (100.0%) missing valuesMissing
방송시설유무 has 97 (100.0%) missing valuesMissing
발전시설유무 has 97 (100.0%) missing valuesMissing
의무실유무 has 97 (100.0%) missing valuesMissing
안내소유무 has 97 (100.0%) missing valuesMissing
기획여행보험시작일자 has 97 (100.0%) missing valuesMissing
기획여행보험종료일자 has 97 (100.0%) missing valuesMissing
자본금 has 75 (77.3%) missing valuesMissing
보험시작일자 has 97 (100.0%) missing valuesMissing
보험종료일자 has 97 (100.0%) missing valuesMissing
부대시설내역 has 97 (100.0%) missing valuesMissing
시설규모 has 59 (60.8%) missing valuesMissing
관리번호 has unique valuesUnique
도로명주소 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
문화사업자구분명 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
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
총층수 has 7 (7.2%) zerosZeros
지상층수 has 8 (8.2%) zerosZeros
자본금 has 10 (10.3%) zerosZeros

Reproduction

Analysis started2024-05-11 06:12:48.776549
Analysis finished2024-05-11 06:12:49.455418
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
3200000
97 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 97
100.0%

Length

2024-05-11T15:12:49.527051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:49.647171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 97
100.0%

관리번호
Text

UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
2024-05-11T15:12:49.847742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1940
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

Unique97 ?
Unique (%)100.0%

Sample

1st rowCDFI2262212023000006
2nd rowCDFI2262212024000027
3rd rowCDFI2262212023000008
4th rowCDFI2262212024000004
5th rowCDFI2262212023000009
ValueCountFrequency (%)
cdfi2262212023000006 1
 
1.0%
cdfi2262212024000001 1
 
1.0%
cdfi2262212024000035 1
 
1.0%
cdfi2262212024000036 1
 
1.0%
cdfi2262212024000037 1
 
1.0%
cdfi2262212024000034 1
 
1.0%
cdfi2262212024000025 1
 
1.0%
cdfi2262212024000026 1
 
1.0%
cdfi2262212024000024 1
 
1.0%
cdfi2262212024000023 1
 
1.0%
Other values (87) 87
89.7%
2024-05-11T15:12:50.224448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 580
29.9%
0 551
28.4%
1 166
 
8.6%
6 113
 
5.8%
C 97
 
5.0%
D 97
 
5.0%
F 97
 
5.0%
I 97
 
5.0%
4 53
 
2.7%
3 45
 
2.3%
Other values (4) 44
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1552
80.0%
Uppercase Letter 388
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 580
37.4%
0 551
35.5%
1 166
 
10.7%
6 113
 
7.3%
4 53
 
3.4%
3 45
 
2.9%
5 16
 
1.0%
7 12
 
0.8%
8 8
 
0.5%
9 8
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 97
25.0%
D 97
25.0%
F 97
25.0%
I 97
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1552
80.0%
Latin 388
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 580
37.4%
0 551
35.5%
1 166
 
10.7%
6 113
 
7.3%
4 53
 
3.4%
3 45
 
2.9%
5 16
 
1.0%
7 12
 
0.8%
8 8
 
0.5%
9 8
 
0.5%
Latin
ValueCountFrequency (%)
C 97
25.0%
D 97
25.0%
F 97
25.0%
I 97
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 580
29.9%
0 551
28.4%
1 166
 
8.6%
6 113
 
5.8%
C 97
 
5.0%
D 97
 
5.0%
F 97
 
5.0%
I 97
 
5.0%
4 53
 
2.7%
3 45
 
2.3%
Other values (4) 44
 
2.3%

인허가일자
Date

Distinct90
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size908.0 B
Minimum2013-01-10 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T15:12:50.410434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:12:50.574008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
1
70 
3
26 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 70
72.2%
3 26
 
26.8%
2 1
 
1.0%

Length

2024-05-11T15:12:50.714566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:50.802516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 70
72.2%
3 26
 
26.8%
2 1
 
1.0%

영업상태명
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
영업/정상
70 
폐업
26 
휴업
 
1

Length

Max length5
Median length5
Mean length4.1649485
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 70
72.2%
폐업 26
 
26.8%
휴업 1
 
1.0%

Length

2024-05-11T15:12:50.911707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:51.024373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 70
72.2%
폐업 26
 
26.8%
휴업 1
 
1.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
13
70 
3
26 
2
 
1

Length

Max length2
Median length2
Mean length1.7216495
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 70
72.2%
3 26
 
26.8%
2 1
 
1.0%

Length

2024-05-11T15:12:51.141073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:51.257098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 70
72.2%
3 26
 
26.8%
2 1
 
1.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
영업중
70 
폐업
26 
휴업
 
1

Length

Max length3
Median length3
Mean length2.7216495
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 70
72.2%
폐업 26
 
26.8%
휴업 1
 
1.0%

Length

2024-05-11T15:12:51.620592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:51.724869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 70
72.2%
폐업 26
 
26.8%
휴업 1
 
1.0%

폐업일자
Date

MISSING 

Distinct26
Distinct (%)100.0%
Missing71
Missing (%)73.2%
Memory size908.0 B
Minimum2016-12-22 00:00:00
Maximum2024-03-27 00:00:00
2024-05-11T15:12:51.843096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:12:51.977840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
96 
20181123
 
1

Length

Max length8
Median length4
Mean length4.0412371
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 96
99.0%
20181123 1
 
1.0%

Length

2024-05-11T15:12:52.116636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:52.224664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
99.0%
20181123 1
 
1.0%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
96 
20201123
 
1

Length

Max length8
Median length4
Mean length4.0412371
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 96
99.0%
20201123 1
 
1.0%

Length

2024-05-11T15:12:52.342414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:52.457458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
99.0%
20201123 1
 
1.0%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

전화번호
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing93
Missing (%)95.9%
Memory size908.0 B
2024-05-11T15:12:52.628975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.25
Min length11

Characters and Unicode

Total characters45
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row02-3285-2142
2nd row02-792-7932
3rd row02-848-1623
4th row02)884-2609
ValueCountFrequency (%)
02-3285-2142 1
25.0%
02-792-7932 1
25.0%
02-848-1623 1
25.0%
02)884-2609 1
25.0%
2024-05-11T15:12:53.048713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 11
24.4%
- 7
15.6%
0 5
11.1%
8 5
11.1%
3 3
 
6.7%
4 3
 
6.7%
9 3
 
6.7%
1 2
 
4.4%
7 2
 
4.4%
6 2
 
4.4%
Other values (2) 2
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37
82.2%
Dash Punctuation 7
 
15.6%
Close Punctuation 1
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 11
29.7%
0 5
13.5%
8 5
13.5%
3 3
 
8.1%
4 3
 
8.1%
9 3
 
8.1%
1 2
 
5.4%
7 2
 
5.4%
6 2
 
5.4%
5 1
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 11
24.4%
- 7
15.6%
0 5
11.1%
8 5
11.1%
3 3
 
6.7%
4 3
 
6.7%
9 3
 
6.7%
1 2
 
4.4%
7 2
 
4.4%
6 2
 
4.4%
Other values (2) 2
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 11
24.4%
- 7
15.6%
0 5
11.1%
8 5
11.1%
3 3
 
6.7%
4 3
 
6.7%
9 3
 
6.7%
1 2
 
4.4%
7 2
 
4.4%
6 2
 
4.4%
Other values (2) 2
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

소재지우편번호
Text

MISSING 

Distinct7
Distinct (%)63.6%
Missing86
Missing (%)88.7%
Memory size908.0 B
2024-05-11T15:12:53.251633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters77
Distinct characters10
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

Unique4 ?
Unique (%)36.4%

Sample

1st row151-704
2nd row151-050
3rd row151-871
4th row151-778
5th row151-801
ValueCountFrequency (%)
151-770 3
27.3%
151-704 2
18.2%
151-050 2
18.2%
151-871 1
 
9.1%
151-778 1
 
9.1%
151-801 1
 
9.1%
151-926 1
 
9.1%
2024-05-11T15:12:53.596235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 24
31.2%
5 13
16.9%
- 11
14.3%
7 11
14.3%
0 10
13.0%
8 3
 
3.9%
4 2
 
2.6%
9 1
 
1.3%
2 1
 
1.3%
6 1
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 66
85.7%
Dash Punctuation 11
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 24
36.4%
5 13
19.7%
7 11
16.7%
0 10
15.2%
8 3
 
4.5%
4 2
 
3.0%
9 1
 
1.5%
2 1
 
1.5%
6 1
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 77
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 24
31.2%
5 13
16.9%
- 11
14.3%
7 11
14.3%
0 10
13.0%
8 3
 
3.9%
4 2
 
2.6%
9 1
 
1.3%
2 1
 
1.3%
6 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 77
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 24
31.2%
5 13
16.9%
- 11
14.3%
7 11
14.3%
0 10
13.0%
8 3
 
3.9%
4 2
 
2.6%
9 1
 
1.3%
2 1
 
1.3%
6 1
 
1.3%

지번주소
Text

Distinct93
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size908.0 B
2024-05-11T15:12:53.961317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length38
Mean length24.226804
Min length18

Characters and Unicode

Total characters2350
Distinct characters87
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

Unique89 ?
Unique (%)91.8%

Sample

1st row서울특별시 관악구 신림동 500-20
2nd row서울특별시 관악구 신림동 533-5
3rd row서울특별시 관악구 신림동 475-87
4th row서울특별시 관악구 신림동 1463-48
5th row서울특별시 관악구 봉천동 1624-37
ValueCountFrequency (%)
서울특별시 97
21.2%
관악구 97
21.2%
봉천동 53
 
11.6%
신림동 39
 
8.5%
남현동 5
 
1.1%
1712번지 4
 
0.9%
1714번지 3
 
0.7%
100-316 2
 
0.4%
801호 2
 
0.4%
701호 2
 
0.4%
Other values (142) 154
33.6%
2024-05-11T15:12:54.576981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
361
 
15.4%
1 146
 
6.2%
동 115
 
4.9%
관 103
 
4.4%
악 103
 
4.4%
서 97
 
4.1%
특 97
 
4.1%
별 97
 
4.1%
시 97
 
4.1%
구 97
 
4.1%
Other values (77) 1037
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1300
55.3%
Decimal Number 603
25.7%
Space Separator 361
 
15.4%
Dash Punctuation 80
 
3.4%
Uppercase Letter 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 115
 
8.8%
관 103
 
7.9%
악 103
 
7.9%
서 97
 
7.5%
특 97
 
7.5%
별 97
 
7.5%
시 97
 
7.5%
구 97
 
7.5%
울 97
 
7.5%
봉 53
 
4.1%
Other values (62) 344
26.5%
Decimal Number
ValueCountFrequency (%)
1 146
24.2%
0 83
13.8%
2 64
10.6%
7 63
10.4%
6 54
 
9.0%
4 49
 
8.1%
5 44
 
7.3%
3 39
 
6.5%
8 34
 
5.6%
9 27
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
A 2
33.3%
T 1
 
16.7%
Space Separator
ValueCountFrequency (%)
361
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1300
55.3%
Common 1044
44.4%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 115
 
8.8%
관 103
 
7.9%
악 103
 
7.9%
서 97
 
7.5%
특 97
 
7.5%
별 97
 
7.5%
시 97
 
7.5%
구 97
 
7.5%
울 97
 
7.5%
봉 53
 
4.1%
Other values (62) 344
26.5%
Common
ValueCountFrequency (%)
361
34.6%
1 146
14.0%
0 83
 
8.0%
- 80
 
7.7%
2 64
 
6.1%
7 63
 
6.0%
6 54
 
5.2%
4 49
 
4.7%
5 44
 
4.2%
3 39
 
3.7%
Other values (2) 61
 
5.8%
Latin
ValueCountFrequency (%)
B 3
50.0%
A 2
33.3%
T 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1300
55.3%
ASCII 1050
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
361
34.4%
1 146
13.9%
0 83
 
7.9%
- 80
 
7.6%
2 64
 
6.1%
7 63
 
6.0%
6 54
 
5.1%
4 49
 
4.7%
5 44
 
4.2%
3 39
 
3.7%
Other values (5) 67
 
6.4%
Hangul
ValueCountFrequency (%)
동 115
 
8.8%
관 103
 
7.9%
악 103
 
7.9%
서 97
 
7.5%
특 97
 
7.5%
별 97
 
7.5%
시 97
 
7.5%
구 97
 
7.5%
울 97
 
7.5%
봉 53
 
4.1%
Other values (62) 344
26.5%

도로명주소
Text

UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
2024-05-11T15:12:54.987318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length43
Mean length34.494845
Min length23

Characters and Unicode

Total characters3346
Distinct characters137
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

Unique97 ?
Unique (%)100.0%

Sample

1st row서울특별시 관악구 신사로10길 21, 101호 (신림동)
2nd row서울특별시 관악구 조원로19길 8-5, B02호 (신림동)
3rd row서울특별시 관악구 신사로22길 25, 202호 (신림동)
4th row서울특별시 관악구 관천로10길 17-6, 101호 (신림동)
5th row서울특별시 관악구 낙성대로4길 12-5, 지층 2호 (봉천동)
ValueCountFrequency (%)
서울특별시 97
 
15.2%
관악구 97
 
15.2%
봉천동 53
 
8.3%
신림동 39
 
6.1%
2층 10
 
1.6%
201호 7
 
1.1%
b01호 6
 
0.9%
102호 6
 
0.9%
성현로 5
 
0.8%
80 5
 
0.8%
Other values (230) 314
49.1%
2024-05-11T15:12:55.530446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
542
 
16.2%
1 160
 
4.8%
, 123
 
3.7%
관 121
 
3.6%
2 121
 
3.6%
동 120
 
3.6%
악 113
 
3.4%
0 106
 
3.2%
시 99
 
3.0%
서 98
 
2.9%
Other values (127) 1743
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1791
53.5%
Decimal Number 648
 
19.4%
Space Separator 542
 
16.2%
Other Punctuation 123
 
3.7%
Close Punctuation 97
 
2.9%
Open Punctuation 97
 
2.9%
Dash Punctuation 29
 
0.9%
Uppercase Letter 19
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 121
 
6.8%
동 120
 
6.7%
악 113
 
6.3%
시 99
 
5.5%
서 98
 
5.5%
특 97
 
5.4%
별 97
 
5.4%
구 97
 
5.4%
울 97
 
5.4%
호 78
 
4.4%
Other values (108) 774
43.2%
Decimal Number
ValueCountFrequency (%)
1 160
24.7%
2 121
18.7%
0 106
16.4%
3 62
 
9.6%
5 51
 
7.9%
8 33
 
5.1%
4 32
 
4.9%
7 30
 
4.6%
9 28
 
4.3%
6 25
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
B 15
78.9%
A 2
 
10.5%
T 1
 
5.3%
L 1
 
5.3%
Space Separator
ValueCountFrequency (%)
542
100.0%
Other Punctuation
ValueCountFrequency (%)
, 123
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1791
53.5%
Common 1536
45.9%
Latin 19
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 121
 
6.8%
동 120
 
6.7%
악 113
 
6.3%
시 99
 
5.5%
서 98
 
5.5%
특 97
 
5.4%
별 97
 
5.4%
구 97
 
5.4%
울 97
 
5.4%
호 78
 
4.4%
Other values (108) 774
43.2%
Common
ValueCountFrequency (%)
542
35.3%
1 160
 
10.4%
, 123
 
8.0%
2 121
 
7.9%
0 106
 
6.9%
) 97
 
6.3%
( 97
 
6.3%
3 62
 
4.0%
5 51
 
3.3%
8 33
 
2.1%
Other values (5) 144
 
9.4%
Latin
ValueCountFrequency (%)
B 15
78.9%
A 2
 
10.5%
T 1
 
5.3%
L 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1791
53.5%
ASCII 1555
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
542
34.9%
1 160
 
10.3%
, 123
 
7.9%
2 121
 
7.8%
0 106
 
6.8%
) 97
 
6.2%
( 97
 
6.2%
3 62
 
4.0%
5 51
 
3.3%
8 33
 
2.1%
Other values (9) 163
 
10.5%
Hangul
ValueCountFrequency (%)
관 121
 
6.8%
동 120
 
6.7%
악 113
 
6.3%
시 99
 
5.5%
서 98
 
5.5%
특 97
 
5.4%
별 97
 
5.4%
구 97
 
5.4%
울 97
 
5.4%
호 78
 
4.4%
Other values (108) 774
43.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)66.7%
Missing19
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean8758.141
Minimum8701
Maximum8858
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2024-05-11T15:12:55.674454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8701
5-th percentile8703
Q18720
median8750
Q38796
95-th percentile8844.15
Maximum8858
Range157
Interquartile range (IQR)76

Descriptive statistics

Standard deviation45.134927
Coefficient of variation (CV)0.0051534826
Kurtosis-0.88874893
Mean8758.141
Median Absolute Deviation (MAD)39
Skewness0.49473263
Sum683135
Variance2037.1617
MonotonicityNot monotonic
2024-05-11T15:12:55.847759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8720 4
 
4.1%
8703 3
 
3.1%
8741 3
 
3.1%
8710 3
 
3.1%
8752 3
 
3.1%
8704 3
 
3.1%
8778 2
 
2.1%
8802 2
 
2.1%
8716 2
 
2.1%
8808 2
 
2.1%
Other values (42) 51
52.6%
(Missing) 19
 
19.6%
ValueCountFrequency (%)
8701 1
 
1.0%
8702 2
2.1%
8703 3
3.1%
8704 3
3.1%
8705 1
 
1.0%
8706 2
2.1%
8707 1
 
1.0%
8710 3
3.1%
8714 1
 
1.0%
8716 2
2.1%
ValueCountFrequency (%)
8858 1
1.0%
8846 1
1.0%
8845 2
2.1%
8844 1
1.0%
8838 1
1.0%
8833 1
1.0%
8832 1
1.0%
8819 1
1.0%
8817 1
1.0%
8816 1
1.0%

사업장명
Text

UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
2024-05-11T15:12:56.154348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length7.9484536
Min length2

Characters and Unicode

Total characters771
Distinct characters194
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)100.0%

Sample

1st row나의 하루
2nd row힐링스테이
3rd rowStay 여운;조각
4th row낭만신림
5th row샤로수테이
ValueCountFrequency (%)
stay 11
 
7.5%
house 8
 
5.4%
스테이 5
 
3.4%
하우스 3
 
2.0%
홈스테이 3
 
2.0%
green 2
 
1.4%
home 2
 
1.4%
게스트하우스 2
 
1.4%
젠틀한 1
 
0.7%
정담 1
 
0.7%
Other values (109) 109
74.1%
2024-05-11T15:12:56.639155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 59
 
7.7%
50
 
6.5%
o 28
 
3.6%
a 28
 
3.6%
e 27
 
3.5%
이 27
 
3.5%
테 26
 
3.4%
s 26
 
3.4%
우 24
 
3.1%
하 24
 
3.1%
Other values (184) 452
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 397
51.5%
Lowercase Letter 233
30.2%
Uppercase Letter 52
 
6.7%
Space Separator 50
 
6.5%
Other Punctuation 11
 
1.4%
Open Punctuation 9
 
1.2%
Close Punctuation 9
 
1.2%
Decimal Number 7
 
0.9%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 59
 
14.9%
이 27
 
6.8%
테 26
 
6.5%
우 24
 
6.0%
하 24
 
6.0%
트 9
 
2.3%
홈 7
 
1.8%
라 7
 
1.8%
게 6
 
1.5%
리 5
 
1.3%
Other values (135) 203
51.1%
Lowercase Letter
ValueCountFrequency (%)
o 28
12.0%
a 28
12.0%
e 27
11.6%
s 26
11.2%
t 21
9.0%
y 18
7.7%
u 16
6.9%
n 15
6.4%
r 9
 
3.9%
m 9
 
3.9%
Other values (11) 36
15.5%
Uppercase Letter
ValueCountFrequency (%)
S 13
25.0%
H 6
11.5%
L 4
 
7.7%
E 3
 
5.8%
A 3
 
5.8%
G 3
 
5.8%
C 3
 
5.8%
J 2
 
3.8%
R 2
 
3.8%
N 2
 
3.8%
Other values (7) 11
21.2%
Other Punctuation
ValueCountFrequency (%)
' 6
54.5%
, 3
27.3%
: 1
 
9.1%
; 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
2 4
57.1%
1 2
28.6%
5 1
 
14.3%
Space Separator
ValueCountFrequency (%)
50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 396
51.4%
Latin 285
37.0%
Common 89
 
11.5%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 59
 
14.9%
이 27
 
6.8%
테 26
 
6.6%
우 24
 
6.1%
하 24
 
6.1%
트 9
 
2.3%
홈 7
 
1.8%
라 7
 
1.8%
게 6
 
1.5%
리 5
 
1.3%
Other values (134) 202
51.0%
Latin
ValueCountFrequency (%)
o 28
 
9.8%
a 28
 
9.8%
e 27
 
9.5%
s 26
 
9.1%
t 21
 
7.4%
y 18
 
6.3%
u 16
 
5.6%
n 15
 
5.3%
S 13
 
4.6%
r 9
 
3.2%
Other values (28) 84
29.5%
Common
ValueCountFrequency (%)
50
56.2%
( 9
 
10.1%
) 9
 
10.1%
' 6
 
6.7%
2 4
 
4.5%
, 3
 
3.4%
- 3
 
3.4%
1 2
 
2.2%
: 1
 
1.1%
5 1
 
1.1%
Han
ValueCountFrequency (%)
休 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 396
51.4%
ASCII 374
48.5%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 59
 
14.9%
이 27
 
6.8%
테 26
 
6.6%
우 24
 
6.1%
하 24
 
6.1%
트 9
 
2.3%
홈 7
 
1.8%
라 7
 
1.8%
게 6
 
1.5%
리 5
 
1.3%
Other values (134) 202
51.0%
ASCII
ValueCountFrequency (%)
50
 
13.4%
o 28
 
7.5%
a 28
 
7.5%
e 27
 
7.2%
s 26
 
7.0%
t 21
 
5.6%
y 18
 
4.8%
u 16
 
4.3%
n 15
 
4.0%
S 13
 
3.5%
Other values (39) 132
35.3%
CJK
ValueCountFrequency (%)
休 1
100.0%

최종수정일자
Date

Distinct90
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size908.0 B
Minimum2016-12-22 00:00:00
Maximum2024-05-09 14:58:48
2024-05-11T15:12:56.803705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:12:56.955539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
I
62 
U
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 62
63.9%
U 35
36.1%

Length

2024-05-11T15:12:57.096236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:57.220391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 62
63.9%
u 35
36.1%

데이터갱신일자
Date

Distinct65
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
Minimum2018-08-31 23:59:00
Maximum2023-12-05 00:09:00
2024-05-11T15:12:57.337595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:12:57.487325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

좌표정보(X)
Real number (ℝ)

Distinct86
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194743.46
Minimum191203.91
Maximum198096.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2024-05-11T15:12:57.641588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191203.91
5-th percentile192494.19
Q1193394.84
median194717.48
Q3196011.26
95-th percentile197261.13
Maximum198096.37
Range6892.4572
Interquartile range (IQR)2616.423

Descriptive statistics

Standard deviation1615.7525
Coefficient of variation (CV)0.0082968256
Kurtosis-0.87066566
Mean194743.46
Median Absolute Deviation (MAD)1322.6405
Skewness0.1209255
Sum18890116
Variance2610656.3
MonotonicityNot monotonic
2024-05-11T15:12:57.813755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195563.1617 5
 
5.2%
193394.8365 3
 
3.1%
193761.885595978 2
 
2.1%
194258.235016412 2
 
2.1%
197133.65064864 2
 
2.1%
196452.710964223 2
 
2.1%
192785.1909 2
 
2.1%
192415.156456351 1
 
1.0%
194696.841864483 1
 
1.0%
195867.742174209 1
 
1.0%
Other values (76) 76
78.4%
ValueCountFrequency (%)
191203.91 1
1.0%
191713.9205 1
1.0%
192147.9381938 1
1.0%
192317.3596 1
1.0%
192415.156456351 1
1.0%
192513.9515 1
1.0%
192529.616890263 1
1.0%
192682.702423446 1
1.0%
192773.7518 1
1.0%
192785.1909 2
2.1%
ValueCountFrequency (%)
198096.367230323 1
1.0%
198038.9963 1
1.0%
198003.7717 1
1.0%
197526.8758 1
1.0%
197523.3535 1
1.0%
197195.5708 1
1.0%
197133.65064864 2
2.1%
196979.5801 1
1.0%
196952.036664571 1
1.0%
196872.1228 1
1.0%

좌표정보(Y)
Real number (ℝ)

Distinct86
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean442094.25
Minimum439663.59
Maximum443352.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2024-05-11T15:12:57.970649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439663.59
5-th percentile440192.97
Q1441485.42
median442294.06
Q3442786.61
95-th percentile443139.52
Maximum443352.94
Range3689.3531
Interquartile range (IQR)1301.1876

Descriptive statistics

Standard deviation880.59262
Coefficient of variation (CV)0.0019918663
Kurtosis0.061874272
Mean442094.25
Median Absolute Deviation (MAD)575.22344
Skewness-0.84014664
Sum42883142
Variance775443.37
MonotonicityNot monotonic
2024-05-11T15:12:58.144715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443064.4376 5
 
5.2%
440040.3098 3
 
3.1%
443223.52532792 2
 
2.1%
441445.799166446 2
 
2.1%
441128.12727634 2
 
2.1%
442051.471049723 2
 
2.1%
442520.9579 2
 
2.1%
442725.172091139 1
 
1.0%
442733.052384141 1
 
1.0%
441642.57492282 1
 
1.0%
Other values (76) 76
78.4%
ValueCountFrequency (%)
439663.5856 1
 
1.0%
439853.4889 1
 
1.0%
440040.3098 3
3.1%
440231.1289 1
 
1.0%
440553.7163 1
 
1.0%
440715.940220355 1
 
1.0%
440839.6892 1
 
1.0%
441024.819474521 1
 
1.0%
441060.0915 1
 
1.0%
441071.4349 1
 
1.0%
ValueCountFrequency (%)
443352.938696107 1
 
1.0%
443341.379446435 1
 
1.0%
443223.52532792 2
 
2.1%
443169.7848 1
 
1.0%
443131.949806047 1
 
1.0%
443064.4376 5
5.2%
443047.792420576 1
 
1.0%
443011.455 1
 
1.0%
442982.8997 1
 
1.0%
442968.462836083 1
 
1.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
55 
외국인관광 도시민박업
42 

Length

Max length11
Median length4
Mean length7.0309278
Min length4

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> 55
56.7%
외국인관광 도시민박업 42
43.3%

Length

2024-05-11T15:12:58.316609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:58.444118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
39.6%
외국인관광 42
30.2%
도시민박업 42
30.2%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

지역구분명
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
71 
일반주거지역
24 
주거지역
 
2

Length

Max length6
Median length4
Mean length4.4948454
Min length4

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> 71
73.2%
일반주거지역 24
 
24.7%
주거지역 2
 
2.1%

Length

2024-05-11T15:12:58.616179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:58.750932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
73.2%
일반주거지역 24
 
24.7%
주거지역 2
 
2.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)44.4%
Missing70
Missing (%)72.2%
Infinite0
Infinite (%)0.0%
Mean5.5555556
Minimum0
Maximum24
Zeros7
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2024-05-11T15:12:58.848745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median2
Q36
95-th percentile22.1
Maximum24
Range24
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation7.5718778
Coefficient of variation (CV)1.362938
Kurtosis0.94484649
Mean5.5555556
Median Absolute Deviation (MAD)2
Skewness1.5142889
Sum150
Variance57.333333
MonotonicityNot monotonic
2024-05-11T15:12:58.970057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 7
 
7.2%
2 6
 
6.2%
3 3
 
3.1%
1 2
 
2.1%
4 2
 
2.1%
11 1
 
1.0%
20 1
 
1.0%
23 1
 
1.0%
24 1
 
1.0%
8 1
 
1.0%
Other values (2) 2
 
2.1%
(Missing) 70
72.2%
ValueCountFrequency (%)
0 7
7.2%
1 2
 
2.1%
2 6
6.2%
3 3
3.1%
4 2
 
2.1%
8 1
 
1.0%
11 1
 
1.0%
15 1
 
1.0%
18 1
 
1.0%
20 1
 
1.0%
ValueCountFrequency (%)
24 1
 
1.0%
23 1
 
1.0%
20 1
 
1.0%
18 1
 
1.0%
15 1
 
1.0%
11 1
 
1.0%
8 1
 
1.0%
4 2
 
2.1%
3 3
3.1%
2 6
6.2%

주변환경명
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
75 
주택가주변
14 
아파트지역
8 

Length

Max length5
Median length4
Mean length4.2268041
Min length4

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> 75
77.3%
주택가주변 14
 
14.4%
아파트지역 8
 
8.2%

Length

2024-05-11T15:12:59.108910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:59.242464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 75
77.3%
주택가주변 14
 
14.4%
아파트지역 8
 
8.2%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

건물용도명
Categorical

Distinct6
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
72 
아파트
10 
다가구용 주택(공동주택적용)
 
7
단독주택
 
5
다세대주택
 
2

Length

Max length15
Median length4
Mean length4.7319588
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 72
74.2%
아파트 10
 
10.3%
다가구용 주택(공동주택적용) 7
 
7.2%
단독주택 5
 
5.2%
다세대주택 2
 
2.1%
근린생활시설 1
 
1.0%

Length

2024-05-11T15:12:59.394982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:12:59.536439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
69.2%
아파트 10
 
9.6%
다가구용 7
 
6.7%
주택(공동주택적용 7
 
6.7%
단독주택 5
 
4.8%
다세대주택 2
 
1.9%
근린생활시설 1
 
1.0%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)40.0%
Missing72
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean4.32
Minimum0
Maximum24
Zeros8
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2024-05-11T15:12:59.681136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile19.6
Maximum24
Range24
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.644045
Coefficient of variation (CV)1.5379734
Kurtosis3.4455559
Mean4.32
Median Absolute Deviation (MAD)2
Skewness2.0732598
Sum108
Variance44.143333
MonotonicityNot monotonic
2024-05-11T15:12:59.827976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 8
 
8.2%
2 3
 
3.1%
1 3
 
3.1%
4 3
 
3.1%
3 3
 
3.1%
10 1
 
1.0%
20 1
 
1.0%
24 1
 
1.0%
6 1
 
1.0%
18 1
 
1.0%
(Missing) 72
74.2%
ValueCountFrequency (%)
0 8
8.2%
1 3
 
3.1%
2 3
 
3.1%
3 3
 
3.1%
4 3
 
3.1%
6 1
 
1.0%
10 1
 
1.0%
18 1
 
1.0%
20 1
 
1.0%
24 1
 
1.0%
ValueCountFrequency (%)
24 1
 
1.0%
20 1
 
1.0%
18 1
 
1.0%
10 1
 
1.0%
6 1
 
1.0%
4 3
 
3.1%
3 3
 
3.1%
2 3
 
3.1%
1 3
 
3.1%
0 8
8.2%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
76 
0
13 
1
 
5
2
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.3505155
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 76
78.4%
0 13
 
13.4%
1 5
 
5.2%
2 2
 
2.1%
3 1
 
1.0%

Length

2024-05-11T15:13:00.006478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:00.157539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
78.4%
0 13
 
13.4%
1 5
 
5.2%
2 2
 
2.1%
3 1
 
1.0%

객실수
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
76 
2
 
6
0
 
6
1
 
6
3
 
2

Length

Max length4
Median length4
Mean length3.3505155
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 76
78.4%
2 6
 
6.2%
0 6
 
6.2%
1 6
 
6.2%
3 2
 
2.1%
5 1
 
1.0%

Length

2024-05-11T15:13:00.301330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:00.448016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
78.4%
2 6
 
6.2%
0 6
 
6.2%
1 6
 
6.2%
3 2
 
2.1%
5 1
 
1.0%

건축연면적
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
78 
0
19 

Length

Max length4
Median length4
Mean length3.4123711
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> 78
80.4%
0 19
 
19.6%

Length

2024-05-11T15:13:00.587796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:00.698387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
80.4%
0 19
 
19.6%

영문상호명
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing89
Missing (%)91.8%
Memory size908.0 B
2024-05-11T15:13:00.857589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20.5
Mean length17
Min length13

Characters and Unicode

Total characters136
Distinct characters35
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st rowStella-homestay
2nd rowYeppeora Homestay
3rd rowPeninsyulra Guesthouse
4th rowCHAGALL HOUSE
5th rowHamkkehaneum-homestay
ValueCountFrequency (%)
house 2
13.3%
stella-homestay 1
 
6.7%
yeppeora 1
 
6.7%
homestay 1
 
6.7%
peninsyulra 1
 
6.7%
guesthouse 1
 
6.7%
chagall 1
 
6.7%
hamkkehaneum-homestay 1
 
6.7%
mt.sam-sung 1
 
6.7%
huu 1
 
6.7%
Other values (4) 4
26.7%
2024-05-11T15:13:01.605487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 13
 
9.6%
a 11
 
8.1%
u 8
 
5.9%
t 8
 
5.9%
s 8
 
5.9%
7
 
5.1%
n 6
 
4.4%
H 6
 
4.4%
o 6
 
4.4%
m 6
 
4.4%
Other values (25) 57
41.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 88
64.7%
Uppercase Letter 35
 
25.7%
Space Separator 7
 
5.1%
Dash Punctuation 4
 
2.9%
Other Punctuation 2
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 13
14.8%
a 11
12.5%
u 8
9.1%
t 8
9.1%
s 8
9.1%
n 6
6.8%
o 6
6.8%
m 6
6.8%
h 5
 
5.7%
y 4
 
4.5%
Other values (7) 13
14.8%
Uppercase Letter
ValueCountFrequency (%)
H 6
17.1%
S 5
14.3%
G 3
8.6%
E 3
8.6%
U 3
8.6%
M 2
 
5.7%
O 2
 
5.7%
L 2
 
5.7%
A 2
 
5.7%
P 2
 
5.7%
Other values (5) 5
14.3%
Space Separator
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 123
90.4%
Common 13
 
9.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 13
 
10.6%
a 11
 
8.9%
u 8
 
6.5%
t 8
 
6.5%
s 8
 
6.5%
n 6
 
4.9%
H 6
 
4.9%
o 6
 
4.9%
m 6
 
4.9%
S 5
 
4.1%
Other values (22) 46
37.4%
Common
ValueCountFrequency (%)
7
53.8%
- 4
30.8%
. 2
 
15.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 136
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 13
 
9.6%
a 11
 
8.1%
u 8
 
5.9%
t 8
 
5.9%
s 8
 
5.9%
7
 
5.1%
n 6
 
4.4%
H 6
 
4.4%
o 6
 
4.4%
m 6
 
4.4%
Other values (25) 57
41.9%

영문상호주소
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
89 
URBAN HOME VISIT SYSTEM FOR FOREIGN TOURIST
 
5
URBAN HOME VISIT SYSTEM FOR FOREIGN TOURIST
 
3

Length

Max length44
Median length4
Mean length7.2474227
Min length4

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> 89
91.8%
URBAN HOME VISIT SYSTEM FOR FOREIGN TOURIST 5
 
5.2%
URBAN HOME VISIT SYSTEM FOR FOREIGN TOURIST 3
 
3.1%

Length

2024-05-11T15:13:01.833101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:02.017916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 89
61.4%
urban 8
 
5.5%
home 8
 
5.5%
visit 8
 
5.5%
system 8
 
5.5%
for 8
 
5.5%
foreign 8
 
5.5%
tourist 8
 
5.5%

선박총톤수
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
78 
0
19 

Length

Max length4
Median length4
Mean length3.4123711
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> 78
80.4%
0 19
 
19.6%

Length

2024-05-11T15:13:02.172068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:02.283336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
80.4%
0 19
 
19.6%

선박척수
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
78 
0
19 

Length

Max length4
Median length4
Mean length3.4123711
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> 78
80.4%
0 19
 
19.6%

Length

2024-05-11T15:13:02.407128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:02.533941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
80.4%
0 19
 
19.6%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

무대면적
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
78 
0
19 

Length

Max length4
Median length4
Mean length3.4123711
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> 78
80.4%
0 19
 
19.6%

Length

2024-05-11T15:13:02.649299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:02.776059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
80.4%
0 19
 
19.6%

좌석수
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
78 
0
19 

Length

Max length4
Median length4
Mean length3.4123711
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> 78
80.4%
0 19
 
19.6%

Length

2024-05-11T15:13:02.898424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:03.018470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
80.4%
0 19
 
19.6%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
78 
0
19 

Length

Max length4
Median length4
Mean length3.4123711
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> 78
80.4%
0 19
 
19.6%

Length

2024-05-11T15:13:03.159453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:03.298586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
80.4%
0 19
 
19.6%

시설면적
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)89.5%
Missing59
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean80.134737
Minimum23.14
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2024-05-11T15:13:03.436570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.14
5-th percentile35.85
Q154.1
median83.775
Q3113.0475
95-th percentile129.34
Maximum146
Range122.86
Interquartile range (IQR)58.9475

Descriptive statistics

Standard deviation32.761667
Coefficient of variation (CV)0.40883228
Kurtosis-0.90765592
Mean80.134737
Median Absolute Deviation (MAD)29.535
Skewness0.18110621
Sum3045.12
Variance1073.3268
MonotonicityNot monotonic
2024-05-11T15:13:03.599701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
113.31 2
 
2.1%
84.96 2
 
2.1%
114.75 2
 
2.1%
36.0 2
 
2.1%
127.0 1
 
1.0%
77.39 1
 
1.0%
53.03 1
 
1.0%
59.35 1
 
1.0%
84.97 1
 
1.0%
84.82 1
 
1.0%
Other values (24) 24
24.7%
(Missing) 59
60.8%
ValueCountFrequency (%)
23.14 1
1.0%
35.0 1
1.0%
36.0 2
2.1%
37.2 1
1.0%
41.39 1
1.0%
42.33 1
1.0%
45.36 1
1.0%
49.95 1
1.0%
53.03 1
1.0%
57.31 1
1.0%
ValueCountFrequency (%)
146.0 1
1.0%
142.6 1
1.0%
127.0 1
1.0%
119.96 1
1.0%
118.71 1
1.0%
114.99 1
1.0%
114.75 2
2.1%
113.31 2
2.1%
112.26 1
1.0%
99.95 1
1.0%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

놀이시설수
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
78 
0
19 

Length

Max length4
Median length4
Mean length3.4123711
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> 78
80.4%
0 19
 
19.6%

Length

2024-05-11T15:13:03.754834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:13:03.906009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
80.4%
0 19
 
19.6%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)45.5%
Missing75
Missing (%)77.3%
Infinite0
Infinite (%)0.0%
Mean1.0108836 × 108
Minimum0
Maximum8 × 108
Zeros10
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2024-05-11T15:13:04.032560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5000000
Q31.475 × 108
95-th percentile3.5315 × 108
Maximum8 × 108
Range8 × 108
Interquartile range (IQR)1.475 × 108

Descriptive statistics

Standard deviation1.9408607 × 108
Coefficient of variation (CV)1.9199645
Kurtosis7.547113
Mean1.0108836 × 108
Median Absolute Deviation (MAD)5000000
Skewness2.5666712
Sum2.223944 × 109
Variance3.7669404 × 1016
MonotonicityNot monotonic
2024-05-11T15:13:04.189608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 10
 
10.3%
10000000 3
 
3.1%
5000000 2
 
2.1%
180000000 1
 
1.0%
246944000 1
 
1.0%
50000000 1
 
1.0%
299000000 1
 
1.0%
252000000 1
 
1.0%
800000000 1
 
1.0%
356000000 1
 
1.0%
(Missing) 75
77.3%
ValueCountFrequency (%)
0 10
10.3%
5000000 2
 
2.1%
10000000 3
 
3.1%
50000000 1
 
1.0%
180000000 1
 
1.0%
246944000 1
 
1.0%
252000000 1
 
1.0%
299000000 1
 
1.0%
356000000 1
 
1.0%
800000000 1
 
1.0%
ValueCountFrequency (%)
800000000 1
 
1.0%
356000000 1
 
1.0%
299000000 1
 
1.0%
252000000 1
 
1.0%
246944000 1
 
1.0%
180000000 1
 
1.0%
50000000 1
 
1.0%
10000000 3
 
3.1%
5000000 2
 
2.1%
0 10
10.3%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)73.7%
Missing59
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean80.105263
Minimum23
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2024-05-11T15:13:04.338747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile35.85
Q154
median83.5
Q3112.75
95-th percentile129.4
Maximum146
Range123
Interquartile range (IQR)58.75

Descriptive statistics

Standard deviation32.829444
Coefficient of variation (CV)0.4098288
Kurtosis-0.90362374
Mean80.105263
Median Absolute Deviation (MAD)29.5
Skewness0.18149567
Sum3044
Variance1077.7724
MonotonicityNot monotonic
2024-05-11T15:13:04.510760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
85 5
 
5.2%
115 3
 
3.1%
84 2
 
2.1%
36 2
 
2.1%
113 2
 
2.1%
59 2
 
2.1%
50 1
 
1.0%
37 1
 
1.0%
41 1
 
1.0%
119 1
 
1.0%
Other values (18) 18
 
18.6%
(Missing) 59
60.8%
ValueCountFrequency (%)
23 1
1.0%
35 1
1.0%
36 2
2.1%
37 1
1.0%
41 1
1.0%
42 1
1.0%
45 1
1.0%
50 1
1.0%
53 1
1.0%
57 1
1.0%
ValueCountFrequency (%)
146 1
 
1.0%
143 1
 
1.0%
127 1
 
1.0%
120 1
 
1.0%
119 1
 
1.0%
115 3
3.1%
113 2
 
2.1%
112 1
 
1.0%
100 1
 
1.0%
85 5
5.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03200000CDFI22622120230000062023-08-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 500-20서울특별시 관악구 신사로10길 21, 101호 (신림동)8702나의 하루2023-08-16 14:27:31I2022-12-07 23:08:00.0<NA>192415.156456442725.172091<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13200000CDFI22622120240000272024-04-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 533-5서울특별시 관악구 조원로19길 8-5, B02호 (신림동)8701힐링스테이2024-04-19 13:08:38I2023-12-03 22:01:00.0<NA>192147.938194442539.441819<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23200000CDFI22622120230000082023-09-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 475-87서울특별시 관악구 신사로22길 25, 202호 (신림동)8703Stay 여운;조각2023-09-21 15:20:14I2022-12-08 22:03:00.0<NA>192682.702423442887.876749<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33200000CDFI22622120240000042024-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1463-48서울특별시 관악구 관천로10길 17-6, 101호 (신림동)8759낭만신림2024-01-09 16:20:00I2023-11-30 23:01:00.0<NA>193423.250957442576.674721<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43200000CDFI22622120230000092023-09-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 1624-37서울특별시 관악구 낙성대로4길 12-5, 지층 2호 (봉천동)8790샤로수테이2023-09-22 12:40:39I2022-12-08 22:04:00.0<NA>196223.338744441563.376644<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53200000CDFI22622120230000142023-11-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 178-240서울특별시 관악구 인헌13길 32 (봉천동)8796테오스테이2024-01-08 09:59:30U2023-11-30 23:00:00.0<NA>197133.650649441128.127276<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63200000CDFI22622120230000182023-12-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 1603-1 전원연립서울특별시 관악구 남부순환로226길 25, 비동 1,2층 5호 (봉천동, 전원연립)8788도란도란2024-01-08 10:00:21U2023-11-30 23:00:00.0<NA>195848.507689441920.722897<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73200000CDFI22622120240000142024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1454-6서울특별시 관악구 관천로18길 41, B02호 (신림동)8706별빛스테이(Starlight stay)2024-03-19 09:42:29I2023-12-02 22:01:00.0<NA>193327.824665442869.280022<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83200000CDFI22622120230000132023-11-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 441-79서울특별시 관악구 남부순환로160길 37, 102호 (신림동)8773스너그앤코지 스테이2024-01-08 09:59:10U2023-11-30 23:00:00.0<NA>193084.35004442170.931371<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93200000CDFI22622120240000152024-03-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 100-316서울특별시 관악구 행운6길 16-3, B02호 (봉천동)8741stay-in2024-03-20 09:39:14I2023-12-02 22:02:00.0<NA>196452.710964442051.47105<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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
873200000CDFI226221201400000520140704<NA>3폐업3폐업20170927<NA><NA><NA><NA><NA>151-770서울특별시 관악구 봉천동 1712번지 관악드림타운 117동 1302호서울특별시 관악구 성현로 80, 117동 1302호 (봉천동, 관악드림타운)<NA>Warm House2017-09-27I2018-08-31 23:59:00.0<NA>195563.1617443064.4376외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>127.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>127
883200000CDFI226221201500000120150115<NA>3폐업3폐업20190103<NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1735번지 204동 104호서울특별시 관악구 난곡로 55, 204동 104호 (신림동, 관악산휴먼시아2단지아파트)<NA>굿데이게스트하우스2019-01-03U2019-01-05 02:40:00.0<NA>192855.6856439663.5856외국인관광 도시민박업<NA>주거지역<NA>아파트지역<NA><NA>아파트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>84.97<NA><NA><NA><NA><NA><NA><NA><NA>10000000<NA><NA><NA>85
893200000CDFI226221201500000220150130<NA>3폐업3폐업20170214<NA><NA><NA><NA><NA>151-770서울특별시 관악구 봉천동 1712번지 관악드림타운 119동 1802호서울특별시 관악구 성현로 80, 119동 1802호 (봉천동, 관악드림타운)<NA>유니하우스2017-02-14I2018-08-31 23:59:00.0<NA>195563.1617443064.4376외국인관광 도시민박업<NA>일반주거지역<NA>아파트지역<NA><NA>아파트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>114.75<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>115
903200000CDFI226221201500000320150211<NA>3폐업3폐업20180326<NA><NA><NA><NA><NA>151-704서울특별시 관악구 신림동 1714번지 302동 102호서울특별시 관악구 호암로 399, 302동 102호 (신림동, 삼성산주공아파트)<NA>지호하우스2018-03-26I2018-08-31 23:59:00.0<NA>193394.8365440040.3098외국인관광 도시민박업<NA>일반주거지역<NA>아파트지역<NA><NA>아파트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>146.0<NA><NA><NA><NA><NA><NA><NA><NA>10000000<NA><NA><NA>146
913200000CDFI226221201500000420150226<NA>3폐업3폐업20170113<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 1712번지 135동 701호서울특별시 관악구 성현로 80, 135동 701호 (봉천동, 관악드림타운아파트)<NA>Carol's Home2017-01-13I2018-08-31 23:59:00.0<NA>195563.1617443064.4376외국인관광 도시민박업<NA>일반주거지역<NA>아파트지역<NA><NA>아파트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
923200000CDFI226221201300000120130110<NA>3폐업3폐업20191219<NA><NA><NA>02-848-1623<NA>151-926서울특별시 관악구 남현동 1072-60번지 예촌하이츠빌 102호서울특별시 관악구 남부순환로260길 83, 102호 (남현동, 예촌하이츠빌)<NA>아씨방2019-12-19U2019-12-21 02:40:00.0<NA>197526.8758441183.3209외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>118.71<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>119
933200000CDFI226221201700000120170522<NA>3폐업3폐업20190704<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 1692-25번지 202호서울특별시 관악구 남부순환로251길 2, 202호 (봉천동, 화신빌라)8802더블유게스트하우스2019-07-05U2019-07-07 02:40:00.0<NA>197195.5708441485.4243외국인관광 도시민박업<NA>일반주거지역3주택가주변<NA><NA>다세대주택3<NA>2<NA>W GUEST HOUSEURBAN HOME VISIT SYSTEM FOR FOREIGN TOURIST<NA><NA><NA><NA><NA><NA><NA>41.39<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>41
943200000CDFI226221201700000220170804<NA>3폐업3폐업20171214<NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 산 28-9번지 신동아아파트 A동 501호서울특별시 관악구 신림로11길 151, A동 501호 (신림동, 신동아아파트)8817런던스타일2017-12-14I2018-08-31 23:59:00.0<NA>194682.7371440231.1289외국인관광 도시민박업<NA>일반주거지역18주택가주변<NA><NA>아파트182<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>84.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>84
953200000CDFI226221201700000320170808<NA>3폐업3폐업20180910<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 1513-5번지 402호서울특별시 관악구 양녕로6다길 19-3, 402호 (봉천동, 행복쉐르빌)8746로빈하우스 SNU2018-09-10U2018-09-10 23:59:00.0<NA>195524.4951442489.5452외국인관광 도시민박업<NA>일반주거지역4주택가주변<NA><NA>다세대주택4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>37.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>37
963200000CDFI226221201600000120160127<NA>2휴업2휴업<NA>2018112320201123<NA>02)884-2609<NA><NA>서울특별시 관악구 신림동 1693번지서울특별시 관악구 호암로 417, 101동 102층 (신림동, 국제산장아파트)<NA>엄마홈스테이2018-11-05U2018-11-07 02:36:00.0<NA>193545.5934439853.4889외국인관광 도시민박업<NA>주거지역15아파트지역<NA><NA>아파트1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>84.15<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>84