Overview

Dataset statistics

Number of variables60
Number of observations94
Missing cells2894
Missing cells (%)51.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.8 KiB
Average record size in memory520.4 B

Variable types

Categorical16
Text8
DateTime4
Unsupported22
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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-17587/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영문상호명 has constant value ""Constant
영문상호주소 has constant value ""Constant
인허가취소일자 is highly imbalanced (91.5%)Imbalance
휴업시작일자 is highly imbalanced (91.5%)Imbalance
휴업종료일자 is highly imbalanced (91.5%)Imbalance
지역구분명 is highly imbalanced (67.3%)Imbalance
주변환경명 is highly imbalanced (68.4%)Imbalance
건물용도명 is highly imbalanced (58.1%)Imbalance
지하층수 is highly imbalanced (72.6%)Imbalance
폐업일자 has 45 (47.9%) missing valuesMissing
재개업일자 has 94 (100.0%) missing valuesMissing
전화번호 has 55 (58.5%) missing valuesMissing
소재지면적 has 94 (100.0%) missing valuesMissing
소재지우편번호 has 58 (61.7%) missing valuesMissing
도로명주소 has 2 (2.1%) missing valuesMissing
도로명우편번호 has 23 (24.5%) missing valuesMissing
업태구분명 has 94 (100.0%) missing valuesMissing
좌표정보(X) has 2 (2.1%) missing valuesMissing
좌표정보(Y) has 2 (2.1%) missing valuesMissing
총층수 has 83 (88.3%) missing valuesMissing
제작취급품목내용 has 94 (100.0%) missing valuesMissing
지상층수 has 82 (87.2%) missing valuesMissing
객실수 has 94 (100.0%) missing valuesMissing
건축연면적 has 94 (100.0%) missing valuesMissing
영문상호명 has 93 (98.9%) missing valuesMissing
영문상호주소 has 93 (98.9%) missing valuesMissing
선박총톤수 has 94 (100.0%) missing valuesMissing
선박척수 has 94 (100.0%) missing valuesMissing
선박제원 has 94 (100.0%) missing valuesMissing
무대면적 has 94 (100.0%) missing valuesMissing
좌석수 has 94 (100.0%) missing valuesMissing
기념품종류 has 94 (100.0%) missing valuesMissing
회의실별동시수용인원 has 94 (100.0%) missing valuesMissing
시설면적 has 77 (81.9%) missing valuesMissing
놀이기구수내역 has 94 (100.0%) missing valuesMissing
놀이시설수 has 94 (100.0%) missing valuesMissing
방송시설유무 has 94 (100.0%) missing valuesMissing
발전시설유무 has 94 (100.0%) missing valuesMissing
의무실유무 has 94 (100.0%) missing valuesMissing
안내소유무 has 94 (100.0%) missing valuesMissing
기획여행보험시작일자 has 94 (100.0%) missing valuesMissing
기획여행보험종료일자 has 94 (100.0%) missing valuesMissing
자본금 has 42 (44.7%) missing valuesMissing
보험시작일자 has 46 (48.9%) missing valuesMissing
보험종료일자 has 46 (48.9%) missing valuesMissing
부대시설내역 has 94 (100.0%) missing valuesMissing
시설규모 has 77 (81.9%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
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
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 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
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 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
회의실별동시수용인원 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
놀이시설수 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
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 1 (1.1%) zerosZeros
지상층수 has 1 (1.1%) zerosZeros
시설면적 has 1 (1.1%) zerosZeros
시설규모 has 1 (1.1%) zerosZeros

Reproduction

Analysis started2024-05-11 00:52:56.640284
Analysis finished2024-05-11 00:52:58.745508
Duration2.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
3100000
94 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 94
100.0%

Length

2024-05-11T00:52:58.964443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:52:59.346107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 94
100.0%

관리번호
Text

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size884.0 B
2024-05-11T00:52:59.797472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1880
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

Unique94 ?
Unique (%)100.0%

Sample

1st rowCDFI2260021998000001
2nd rowCDFI2260021999000001
3rd rowCDFI2260022001000001
4th rowCDFI2260022002000001
5th rowCDFI2260022002000002
ValueCountFrequency (%)
cdfi2260021998000001 1
 
1.1%
cdfi2260022017000003 1
 
1.1%
cdfi2260022019000001 1
 
1.1%
cdfi2260022018000010 1
 
1.1%
cdfi2260022018000009 1
 
1.1%
cdfi2260022018000008 1
 
1.1%
cdfi2260022018000007 1
 
1.1%
cdfi2260022018000003 1
 
1.1%
cdfi2260022018000001 1
 
1.1%
cdfi2260022017000006 1
 
1.1%
Other values (84) 84
89.4%
2024-05-11T00:53:00.989655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 770
41.0%
2 417
22.2%
6 111
 
5.9%
1 96
 
5.1%
C 94
 
5.0%
D 94
 
5.0%
F 94
 
5.0%
I 94
 
5.0%
3 27
 
1.4%
4 25
 
1.3%
Other values (4) 58
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1504
80.0%
Uppercase Letter 376
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 770
51.2%
2 417
27.7%
6 111
 
7.4%
1 96
 
6.4%
3 27
 
1.8%
4 25
 
1.7%
5 18
 
1.2%
9 14
 
0.9%
8 13
 
0.9%
7 13
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
C 94
25.0%
D 94
25.0%
F 94
25.0%
I 94
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1504
80.0%
Latin 376
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 770
51.2%
2 417
27.7%
6 111
 
7.4%
1 96
 
6.4%
3 27
 
1.8%
4 25
 
1.7%
5 18
 
1.2%
9 14
 
0.9%
8 13
 
0.9%
7 13
 
0.9%
Latin
ValueCountFrequency (%)
C 94
25.0%
D 94
25.0%
F 94
25.0%
I 94
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 770
41.0%
2 417
22.2%
6 111
 
5.9%
1 96
 
5.1%
C 94
 
5.0%
D 94
 
5.0%
F 94
 
5.0%
I 94
 
5.0%
3 27
 
1.4%
4 25
 
1.3%
Other values (4) 58
 
3.1%

인허가일자
Date

Distinct91
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size884.0 B
Minimum1998-01-06 00:00:00
Maximum2024-01-25 00:00:00
2024-05-11T00:53:01.579142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:53:01.972844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
93 
20141111
 
1

Length

Max length8
Median length4
Mean length4.0425532
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 93
98.9%
20141111 1
 
1.1%

Length

2024-05-11T00:53:02.479564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:02.875057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 93
98.9%
20141111 1
 
1.1%

영업상태코드
Categorical

Distinct5
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
3
45 
1
43 
5
 
4
2
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 45
47.9%
1 43
45.7%
5 4
 
4.3%
2 1
 
1.1%
4 1
 
1.1%

Length

2024-05-11T00:53:03.330366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:03.704211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 45
47.9%
1 43
45.7%
5 4
 
4.3%
2 1
 
1.1%
4 1
 
1.1%

영업상태명
Categorical

Distinct5
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
폐업
45 
영업/정상
43 
제외/삭제/전출
 
4
휴업
 
1
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length8
Mean length3.7553191
Min length2

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 45
47.9%
영업/정상 43
45.7%
제외/삭제/전출 4
 
4.3%
휴업 1
 
1.1%
취소/말소/만료/정지/중지 1
 
1.1%

Length

2024-05-11T00:53:04.189851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:04.722257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 45
47.9%
영업/정상 43
45.7%
제외/삭제/전출 4
 
4.3%
휴업 1
 
1.1%
취소/말소/만료/정지/중지 1
 
1.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
3
45 
13
43 
15
 
4
2
 
1
31
 
1

Length

Max length2
Median length2
Mean length1.5106383
Min length1

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 45
47.9%
13 43
45.7%
15 4
 
4.3%
2 1
 
1.1%
31 1
 
1.1%

Length

2024-05-11T00:53:05.221864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:05.630943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 45
47.9%
13 43
45.7%
15 4
 
4.3%
2 1
 
1.1%
31 1
 
1.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
폐업
45 
영업중
43 
전출
 
4
휴업
 
1
등록취소
 
1

Length

Max length4
Median length2
Mean length2.4787234
Min length2

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 45
47.9%
영업중 43
45.7%
전출 4
 
4.3%
휴업 1
 
1.1%
등록취소 1
 
1.1%

Length

2024-05-11T00:53:06.232162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:06.610694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 45
47.9%
영업중 43
45.7%
전출 4
 
4.3%
휴업 1
 
1.1%
등록취소 1
 
1.1%

폐업일자
Date

MISSING 

Distinct46
Distinct (%)93.9%
Missing45
Missing (%)47.9%
Memory size884.0 B
Minimum2003-10-10 00:00:00
Maximum2023-12-27 00:00:00
2024-05-11T00:53:07.080727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:53:07.690145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
93 
20140825
 
1

Length

Max length8
Median length4
Mean length4.0425532
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 93
98.9%
20140825 1
 
1.1%

Length

2024-05-11T00:53:08.327594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:08.729488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 93
98.9%
20140825 1
 
1.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
93 
20150630
 
1

Length

Max length8
Median length4
Mean length4.0425532
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 93
98.9%
20150630 1
 
1.1%

Length

2024-05-11T00:53:09.146031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:09.571241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 93
98.9%
20150630 1
 
1.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

전화번호
Text

MISSING 

Distinct39
Distinct (%)100.0%
Missing55
Missing (%)58.5%
Memory size884.0 B
2024-05-11T00:53:10.130449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.487179
Min length8

Characters and Unicode

Total characters409
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

Unique39 ?
Unique (%)100.0%

Sample

1st row02-930-0236
2nd row02-975-2001
3rd row02-933-3599
4th row02-2236-9331
5th row02-952-0156
ValueCountFrequency (%)
02 3
 
6.7%
934 2
 
4.4%
02-930-0236 1
 
2.2%
465 1
 
2.2%
02-950-2980 1
 
2.2%
02-933-1741 1
 
2.2%
02-6959-2388 1
 
2.2%
000209361387 1
 
2.2%
3490 1
 
2.2%
2611 1
 
2.2%
Other values (32) 32
71.1%
2024-05-11T00:53:11.615976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 63
15.4%
0 62
15.2%
- 58
14.2%
9 42
10.3%
3 40
9.8%
1 26
6.4%
5 25
 
6.1%
7 25
 
6.1%
6 23
 
5.6%
4 20
 
4.9%
Other values (2) 25
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 343
83.9%
Dash Punctuation 58
 
14.2%
Space Separator 8
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 63
18.4%
0 62
18.1%
9 42
12.2%
3 40
11.7%
1 26
7.6%
5 25
 
7.3%
7 25
 
7.3%
6 23
 
6.7%
4 20
 
5.8%
8 17
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 409
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 63
15.4%
0 62
15.2%
- 58
14.2%
9 42
10.3%
3 40
9.8%
1 26
6.4%
5 25
 
6.1%
7 25
 
6.1%
6 23
 
5.6%
4 20
 
4.9%
Other values (2) 25
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 409
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 63
15.4%
0 62
15.2%
- 58
14.2%
9 42
10.3%
3 40
9.8%
1 26
6.4%
5 25
 
6.1%
7 25
 
6.1%
6 23
 
5.6%
4 20
 
4.9%
Other values (2) 25
 
6.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

소재지우편번호
Text

MISSING 

Distinct28
Distinct (%)77.8%
Missing58
Missing (%)61.7%
Memory size884.0 B
2024-05-11T00:53:12.262908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0833333
Min length6

Characters and Unicode

Total characters219
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

Unique20 ?
Unique (%)55.6%

Sample

1st row139942
2nd row139801
3rd row139-942
4th row139832
5th row139716
ValueCountFrequency (%)
139865 2
 
5.6%
139876 2
 
5.6%
139838 2
 
5.6%
139938 2
 
5.6%
139845 2
 
5.6%
139-942 2
 
5.6%
139942 2
 
5.6%
139816 2
 
5.6%
139221 1
 
2.8%
139241 1
 
2.8%
Other values (18) 18
50.0%
2024-05-11T00:53:13.471039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 45
20.5%
1 44
20.1%
9 42
19.2%
8 26
11.9%
2 17
 
7.8%
0 13
 
5.9%
6 8
 
3.7%
4 8
 
3.7%
5 7
 
3.2%
7 6
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 216
98.6%
Dash Punctuation 3
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 45
20.8%
1 44
20.4%
9 42
19.4%
8 26
12.0%
2 17
 
7.9%
0 13
 
6.0%
6 8
 
3.7%
4 8
 
3.7%
5 7
 
3.2%
7 6
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 219
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 45
20.5%
1 44
20.1%
9 42
19.2%
8 26
11.9%
2 17
 
7.8%
0 13
 
5.9%
6 8
 
3.7%
4 8
 
3.7%
5 7
 
3.2%
7 6
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 219
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 45
20.5%
1 44
20.1%
9 42
19.2%
8 26
11.9%
2 17
 
7.8%
0 13
 
5.9%
6 8
 
3.7%
4 8
 
3.7%
5 7
 
3.2%
7 6
 
2.7%

지번주소
Text

Distinct93
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size884.0 B
2024-05-11T00:53:14.126253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34.5
Mean length27.606383
Min length18

Characters and Unicode

Total characters2595
Distinct characters125
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)97.9%

Sample

1st row서울특별시 노원구 상계동 711-13번지
2nd row서울특별시 노원구 공릉동 386-6번지
3rd row서울특별시 노원구 상계동 709-1 은성빌딩 402호
4th row서울특별시 노원구 상계동 723번지
5th row서울특별시 노원구 상계동 730-3번지 다모아빌딩 5층 502호
ValueCountFrequency (%)
서울특별시 94
18.6%
노원구 94
18.6%
상계동 45
 
8.9%
중계동 19
 
3.8%
공릉동 18
 
3.6%
월계동 10
 
2.0%
토마토파르코 5
 
1.0%
509-1번지 4
 
0.8%
1267 3
 
0.6%
4층 3
 
0.6%
Other values (178) 211
41.7%
2024-05-11T00:53:15.535066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
442
 
17.0%
1 116
 
4.5%
동 106
 
4.1%
노 98
 
3.8%
원 96
 
3.7%
서 94
 
3.6%
특 94
 
3.6%
별 94
 
3.6%
시 94
 
3.6%
구 94
 
3.6%
Other values (115) 1267
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1529
58.9%
Decimal Number 549
 
21.2%
Space Separator 442
 
17.0%
Dash Punctuation 70
 
2.7%
Uppercase Letter 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 106
 
6.9%
노 98
 
6.4%
원 96
 
6.3%
서 94
 
6.1%
특 94
 
6.1%
별 94
 
6.1%
시 94
 
6.1%
구 94
 
6.1%
울 94
 
6.1%
계 81
 
5.3%
Other values (99) 584
38.2%
Decimal Number
ValueCountFrequency (%)
1 116
21.1%
3 72
13.1%
0 60
10.9%
2 59
10.7%
6 52
9.5%
5 48
8.7%
4 42
 
7.7%
7 39
 
7.1%
9 32
 
5.8%
8 29
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
442
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1529
58.9%
Common 1063
41.0%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 106
 
6.9%
노 98
 
6.4%
원 96
 
6.3%
서 94
 
6.1%
특 94
 
6.1%
별 94
 
6.1%
시 94
 
6.1%
구 94
 
6.1%
울 94
 
6.1%
계 81
 
5.3%
Other values (99) 584
38.2%
Common
ValueCountFrequency (%)
442
41.6%
1 116
 
10.9%
3 72
 
6.8%
- 70
 
6.6%
0 60
 
5.6%
2 59
 
5.6%
6 52
 
4.9%
5 48
 
4.5%
4 42
 
4.0%
7 39
 
3.7%
Other values (4) 63
 
5.9%
Latin
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1529
58.9%
ASCII 1066
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
442
41.5%
1 116
 
10.9%
3 72
 
6.8%
- 70
 
6.6%
0 60
 
5.6%
2 59
 
5.5%
6 52
 
4.9%
5 48
 
4.5%
4 42
 
3.9%
7 39
 
3.7%
Other values (6) 66
 
6.2%
Hangul
ValueCountFrequency (%)
동 106
 
6.9%
노 98
 
6.4%
원 96
 
6.3%
서 94
 
6.1%
특 94
 
6.1%
별 94
 
6.1%
시 94
 
6.1%
구 94
 
6.1%
울 94
 
6.1%
계 81
 
5.3%
Other values (99) 584
38.2%

도로명주소
Text

MISSING 

Distinct92
Distinct (%)100.0%
Missing2
Missing (%)2.1%
Memory size884.0 B
2024-05-11T00:53:16.486947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length36.054348
Min length22

Characters and Unicode

Total characters3317
Distinct characters144
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

Unique92 ?
Unique (%)100.0%

Sample

1st row서울특별시 노원구 동일로 1417 (상계동)
2nd row서울특별시 노원구 동일로192길 5 (공릉동)
3rd row서울특별시 노원구 노해로 457, 402호 (상계동,은성빌딩)
4th row서울특별시 노원구 노해로 502 (상계동)
5th row서울특별시 노원구 동일로 1379, 502호 (상계동,다모아빌딩 5층)
ValueCountFrequency (%)
서울특별시 92
 
14.7%
노원구 92
 
14.7%
상계동 33
 
5.3%
동일로 21
 
3.4%
공릉동 17
 
2.7%
중계동 15
 
2.4%
한글비석로 10
 
1.6%
2층 9
 
1.4%
4층 9
 
1.4%
동일로204가길 8
 
1.3%
Other values (235) 318
51.0%
2024-05-11T00:53:18.051564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
546
 
16.5%
동 147
 
4.4%
1 130
 
3.9%
, 122
 
3.7%
노 109
 
3.3%
원 98
 
3.0%
) 93
 
2.8%
( 93
 
2.8%
로 93
 
2.8%
울 92
 
2.8%
Other values (134) 1794
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1851
55.8%
Decimal Number 592
 
17.8%
Space Separator 546
 
16.5%
Other Punctuation 122
 
3.7%
Close Punctuation 93
 
2.8%
Open Punctuation 93
 
2.8%
Dash Punctuation 16
 
0.5%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 147
 
7.9%
노 109
 
5.9%
원 98
 
5.3%
로 93
 
5.0%
울 92
 
5.0%
서 92
 
5.0%
구 92
 
5.0%
시 92
 
5.0%
특 92
 
5.0%
별 92
 
5.0%
Other values (117) 852
46.0%
Decimal Number
ValueCountFrequency (%)
1 130
22.0%
2 90
15.2%
4 78
13.2%
0 77
13.0%
3 54
9.1%
5 53
9.0%
7 44
 
7.4%
8 27
 
4.6%
9 25
 
4.2%
6 14
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%
Space Separator
ValueCountFrequency (%)
546
100.0%
Other Punctuation
ValueCountFrequency (%)
, 122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1851
55.8%
Common 1462
44.1%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 147
 
7.9%
노 109
 
5.9%
원 98
 
5.3%
로 93
 
5.0%
울 92
 
5.0%
서 92
 
5.0%
구 92
 
5.0%
시 92
 
5.0%
특 92
 
5.0%
별 92
 
5.0%
Other values (117) 852
46.0%
Common
ValueCountFrequency (%)
546
37.3%
1 130
 
8.9%
, 122
 
8.3%
) 93
 
6.4%
( 93
 
6.4%
2 90
 
6.2%
4 78
 
5.3%
0 77
 
5.3%
3 54
 
3.7%
5 53
 
3.6%
Other values (5) 126
 
8.6%
Latin
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1851
55.8%
ASCII 1466
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
546
37.2%
1 130
 
8.9%
, 122
 
8.3%
) 93
 
6.3%
( 93
 
6.3%
2 90
 
6.1%
4 78
 
5.3%
0 77
 
5.3%
3 54
 
3.7%
5 53
 
3.6%
Other values (7) 130
 
8.9%
Hangul
ValueCountFrequency (%)
동 147
 
7.9%
노 109
 
5.9%
원 98
 
5.3%
로 93
 
5.0%
울 92
 
5.0%
서 92
 
5.0%
구 92
 
5.0%
시 92
 
5.0%
특 92
 
5.0%
별 92
 
5.0%
Other values (117) 852
46.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)69.0%
Missing23
Missing (%)24.5%
Infinite0
Infinite (%)0.0%
Mean9513.662
Minimum1606
Maximum139938
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T00:53:18.455297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1606
5-th percentile1624
Q11682.5
median1767
Q31849
95-th percentile70567.5
Maximum139938
Range138332
Interquartile range (IQR)166.5

Descriptive statistics

Standard deviation31996.092
Coefficient of variation (CV)3.3631731
Kurtosis13.849441
Mean9513.662
Median Absolute Deviation (MAD)82
Skewness3.9318831
Sum675470
Variance1.0237499 × 109
MonotonicityNot monotonic
2024-05-11T00:53:18.978899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1695 6
 
6.4%
1624 4
 
4.3%
1783 4
 
4.3%
1779 3
 
3.2%
1663 3
 
3.2%
1767 3
 
3.2%
1914 2
 
2.1%
1856 2
 
2.1%
1746 2
 
2.1%
1849 2
 
2.1%
Other values (39) 40
42.6%
(Missing) 23
24.5%
ValueCountFrequency (%)
1606 1
 
1.1%
1607 1
 
1.1%
1612 1
 
1.1%
1624 4
4.3%
1626 1
 
1.1%
1634 2
2.1%
1647 1
 
1.1%
1662 1
 
1.1%
1663 3
3.2%
1666 1
 
1.1%
ValueCountFrequency (%)
139938 1
1.1%
139748 1
1.1%
139241 1
1.1%
139221 1
1.1%
1914 2
2.1%
1913 1
1.1%
1891 1
1.1%
1886 1
1.1%
1885 1
1.1%
1878 1
1.1%

사업장명
Text

Distinct92
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size884.0 B
2024-05-11T00:53:19.478310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length7.9893617
Min length2

Characters and Unicode

Total characters751
Distinct characters193
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)95.7%

Sample

1st row(주)허니웨이여행사
2nd row(주)현대관광
3rd row(주)롯데관광노원
4th row(주)하나매니아
5th row(주) 여행향기
ValueCountFrequency (%)
주식회사 8
 
6.5%
tour 3
 
2.4%
헬팡투어 2
 
1.6%
여행사 2
 
1.6%
주)현대관광 2
 
1.6%
그날의사이판 1
 
0.8%
co.,ltd 1
 
0.8%
원광여행사 1
 
0.8%
여행시간 1
 
0.8%
빅마마투어리조트 1
 
0.8%
Other values (101) 101
82.1%
2024-05-11T00:53:20.494937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 50
 
6.7%
( 47
 
6.3%
) 47
 
6.3%
어 40
 
5.3%
투 39
 
5.2%
29
 
3.9%
사 28
 
3.7%
행 24
 
3.2%
여 24
 
3.2%
이 18
 
2.4%
Other values (183) 405
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 567
75.5%
Open Punctuation 47
 
6.3%
Close Punctuation 47
 
6.3%
Space Separator 29
 
3.9%
Lowercase Letter 29
 
3.9%
Uppercase Letter 27
 
3.6%
Other Punctuation 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 50
 
8.8%
어 40
 
7.1%
투 39
 
6.9%
사 28
 
4.9%
행 24
 
4.2%
여 24
 
4.2%
이 18
 
3.2%
스 13
 
2.3%
트 12
 
2.1%
나 9
 
1.6%
Other values (153) 310
54.7%
Lowercase Letter
ValueCountFrequency (%)
r 5
17.2%
o 5
17.2%
i 4
13.8%
t 3
10.3%
u 2
 
6.9%
p 2
 
6.9%
n 2
 
6.9%
c 1
 
3.4%
g 1
 
3.4%
f 1
 
3.4%
Other values (3) 3
10.3%
Uppercase Letter
ValueCountFrequency (%)
A 3
11.1%
R 3
11.1%
T 3
11.1%
N 3
11.1%
U 3
11.1%
G 3
11.1%
Y 2
7.4%
O 2
7.4%
C 2
7.4%
I 1
 
3.7%
Other values (2) 2
7.4%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
, 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 567
75.5%
Common 128
 
17.0%
Latin 56
 
7.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 50
 
8.8%
어 40
 
7.1%
투 39
 
6.9%
사 28
 
4.9%
행 24
 
4.2%
여 24
 
4.2%
이 18
 
3.2%
스 13
 
2.3%
트 12
 
2.1%
나 9
 
1.6%
Other values (153) 310
54.7%
Latin
ValueCountFrequency (%)
r 5
 
8.9%
o 5
 
8.9%
i 4
 
7.1%
A 3
 
5.4%
t 3
 
5.4%
R 3
 
5.4%
T 3
 
5.4%
N 3
 
5.4%
U 3
 
5.4%
G 3
 
5.4%
Other values (15) 21
37.5%
Common
ValueCountFrequency (%)
( 47
36.7%
) 47
36.7%
29
22.7%
. 4
 
3.1%
, 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 567
75.5%
ASCII 184
 
24.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 50
 
8.8%
어 40
 
7.1%
투 39
 
6.9%
사 28
 
4.9%
행 24
 
4.2%
여 24
 
4.2%
이 18
 
3.2%
스 13
 
2.3%
트 12
 
2.1%
나 9
 
1.6%
Other values (153) 310
54.7%
ASCII
ValueCountFrequency (%)
( 47
25.5%
) 47
25.5%
29
15.8%
r 5
 
2.7%
o 5
 
2.7%
i 4
 
2.2%
. 4
 
2.2%
A 3
 
1.6%
t 3
 
1.6%
R 3
 
1.6%
Other values (20) 34
18.5%

최종수정일자
Date

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size884.0 B
Minimum2003-10-10 16:39:50
Maximum2024-04-12 09:05:16
2024-05-11T00:53:20.907103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:53:21.434240image/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 size884.0 B
U
61 
I
33 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 61
64.9%
I 33
35.1%

Length

2024-05-11T00:53:21.856151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:22.190324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 61
64.9%
i 33
35.1%

데이터갱신일자
Date

Distinct51
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-05-11T00:53:22.511503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:53:22.985485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)79.3%
Missing2
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean205830.85
Minimum204619.14
Maximum207602.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T00:53:23.508169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204619.14
5-th percentile204826.25
Q1205292.36
median205953.04
Q3206368.74
95-th percentile206845.33
Maximum207602.35
Range2983.2097
Interquartile range (IQR)1076.3799

Descriptive statistics

Standard deviation670.87525
Coefficient of variation (CV)0.0032593523
Kurtosis-0.74155833
Mean205830.85
Median Absolute Deviation (MAD)495.95611
Skewness0.11461711
Sum18936438
Variance450073.61
MonotonicityNot monotonic
2024-05-11T00:53:24.031982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204855.557180678 5
 
5.3%
205953.043735981 4
 
4.3%
205985.953324881 4
 
4.3%
205457.262344455 3
 
3.2%
206670.816544196 2
 
2.1%
206204.445134058 2
 
2.1%
205645.891969072 2
 
2.1%
205391.413890352 2
 
2.1%
206431.191943221 2
 
2.1%
206356.052509483 2
 
2.1%
Other values (63) 64
68.1%
ValueCountFrequency (%)
204619.143523595 1
 
1.1%
204736.943204622 1
 
1.1%
204767.360728048 1
 
1.1%
204772.500639238 1
 
1.1%
204790.424786507 1
 
1.1%
204855.557180678 5
5.3%
204883.056097339 1
 
1.1%
204982.667824475 1
 
1.1%
205010.833443366 1
 
1.1%
205039.301732224 1
 
1.1%
ValueCountFrequency (%)
207602.35326675 1
1.1%
207177.089424715 1
1.1%
207098.659537249 1
1.1%
206961.390230248 1
1.1%
206907.049263452 1
1.1%
206794.835690302 1
1.1%
206783.122288285 1
1.1%
206720.6076052 1
1.1%
206670.816544196 2
2.1%
206594.474351648 1
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)79.3%
Missing2
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean460535.39
Minimum457039.5
Maximum464208.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T00:53:24.501039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum457039.5
5-th percentile457344.04
Q1458304.85
median460805.15
Q3461987.25
95-th percentile464199.05
Maximum464208.31
Range7168.802
Interquartile range (IQR)3682.3952

Descriptive statistics

Standard deviation2127.6272
Coefficient of variation (CV)0.0046198995
Kurtosis-1.0558185
Mean460535.39
Median Absolute Deviation (MAD)1328.62
Skewness0.032659624
Sum42369256
Variance4526797.6
MonotonicityNot monotonic
2024-05-11T00:53:24.980386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
464199.048415229 5
 
5.3%
459822.608944797 4
 
4.3%
459730.43776924 4
 
4.3%
461407.049044413 3
 
3.2%
460805.152066849 2
 
2.1%
460466.440748874 2
 
2.1%
459609.012509743 2
 
2.1%
460703.536575497 2
 
2.1%
457306.715339807 2
 
2.1%
462123.008334776 2
 
2.1%
Other values (63) 64
68.1%
ValueCountFrequency (%)
457039.503445757 1
1.1%
457052.24147811 1
1.1%
457275.799282625 1
1.1%
457306.715339807 2
2.1%
457374.575999081 1
1.1%
457468.835670858 1
1.1%
457582.413947683 1
1.1%
457685.950294985 1
1.1%
457737.954897119 1
1.1%
457818.217626505 1
1.1%
ValueCountFrequency (%)
464208.305428933 1
 
1.1%
464199.048415229 5
5.3%
463963.394402186 1
 
1.1%
463928.107318353 1
 
1.1%
463887.942604325 1
 
1.1%
463884.895275557 1
 
1.1%
463512.996306318 1
 
1.1%
463330.604981024 1
 
1.1%
463287.58270761 1
 
1.1%
462732.18472229 1
 
1.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
국내외여행업
56 
<NA>
38 

Length

Max length6
Median length6
Mean length5.1914894
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 56
59.6%
<NA> 38
40.4%

Length

2024-05-11T00:53:25.478942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:25.854916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 56
59.6%
na 38
40.4%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
72 
관광사업
22 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 72
76.6%
관광사업 22
 
23.4%

Length

2024-05-11T00:53:26.228152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:26.515125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
76.6%
관광사업 22
 
23.4%

지역구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
81 
일반상업지역
 
3
준주거지역
 
3
주거지역
 
3
일반주거지역
 
2
Other values (2)
 
2

Length

Max length6
Median length4
Mean length4.1595745
Min length4

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 81
86.2%
일반상업지역 3
 
3.2%
준주거지역 3
 
3.2%
주거지역 3
 
3.2%
일반주거지역 2
 
2.1%
상업지역 1
 
1.1%
근린상업지역 1
 
1.1%

Length

2024-05-11T00:53:26.917938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:27.249392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
86.2%
일반상업지역 3
 
3.2%
준주거지역 3
 
3.2%
주거지역 3
 
3.2%
일반주거지역 2
 
2.1%
상업지역 1
 
1.1%
근린상업지역 1
 
1.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)54.5%
Missing83
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean6.3636364
Minimum0
Maximum18
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T00:53:27.588811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5
Q11
median6
Q39
95-th percentile15.5
Maximum18
Range18
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.6616734
Coefficient of variation (CV)0.88969153
Kurtosis0.20367297
Mean6.3636364
Median Absolute Deviation (MAD)5
Skewness0.79723915
Sum70
Variance32.054545
MonotonicityNot monotonic
2024-05-11T00:53:28.008735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 3
 
3.2%
1 3
 
3.2%
9 2
 
2.1%
0 1
 
1.1%
18 1
 
1.1%
13 1
 
1.1%
(Missing) 83
88.3%
ValueCountFrequency (%)
0 1
 
1.1%
1 3
3.2%
6 3
3.2%
9 2
2.1%
13 1
 
1.1%
18 1
 
1.1%
ValueCountFrequency (%)
18 1
 
1.1%
13 1
 
1.1%
9 2
2.1%
6 3
3.2%
1 3
3.2%
0 1
 
1.1%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
83 
기타
 
4
아파트지역
 
4
주택가주변
 
2
유흥업소밀집지역
 
1

Length

Max length8
Median length4
Mean length4.0212766
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 83
88.3%
기타 4
 
4.3%
아파트지역 4
 
4.3%
주택가주변 2
 
2.1%
유흥업소밀집지역 1
 
1.1%

Length

2024-05-11T00:53:28.397884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:28.760274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
88.3%
기타 4
 
4.3%
아파트지역 4
 
4.3%
주택가주변 2
 
2.1%
유흥업소밀집지역 1
 
1.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

보험기관명
Categorical

Distinct12
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
46 
서울보증보험
19 
서울보증보험주식회사
9 
한국관광협회중앙회
8 
한국관광협회중앙회여행공제회
 
4
Other values (7)
8 

Length

Max length15
Median length14
Mean length6.4148936
Min length4

Unique

Unique6 ?
Unique (%)6.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
48.9%
서울보증보험 19
20.2%
서울보증보험주식회사 9
 
9.6%
한국관광협회중앙회 8
 
8.5%
한국관광협회중앙회여행공제회 4
 
4.3%
한국관광협회중앙회 여행공제회 2
 
2.1%
여행공제회 1
 
1.1%
서울보증보험(4천) 1
 
1.1%
서울특별시관광협회 1
 
1.1%
서울보증(3천만원) 1
 
1.1%
Other values (2) 2
 
2.1%

Length

2024-05-11T00:53:29.121764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 46
47.9%
서울보증보험 19
19.8%
한국관광협회중앙회 10
 
10.4%
서울보증보험주식회사 9
 
9.4%
한국관광협회중앙회여행공제회 4
 
4.2%
여행공제회 3
 
3.1%
서울보증보험(4천 1
 
1.0%
서울특별시관광협회 1
 
1.0%
서울보증(3천만원 1
 
1.0%
서울보증보험(4천만원 1
 
1.0%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
79 
근린생활시설
 
7
사무실
 
7
유통시설
 
1

Length

Max length6
Median length4
Mean length4.0744681
Min length3

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 79
84.0%
근린생활시설 7
 
7.4%
사무실 7
 
7.4%
유통시설 1
 
1.1%

Length

2024-05-11T00:53:29.517715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:29.837162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
84.0%
근린생활시설 7
 
7.4%
사무실 7
 
7.4%
유통시설 1
 
1.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)75.0%
Missing82
Missing (%)87.2%
Infinite0
Infinite (%)0.0%
Mean6.0833333
Minimum0
Maximum15
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T00:53:30.162989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q14.5
median6
Q37.5
95-th percentile12.25
Maximum15
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.0330078
Coefficient of variation (CV)0.66296018
Kurtosis1.1844182
Mean6.0833333
Median Absolute Deviation (MAD)2
Skewness0.67563107
Sum73
Variance16.265152
MonotonicityNot monotonic
2024-05-11T00:53:30.457877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
6 3
 
3.2%
5 2
 
2.1%
0 1
 
1.1%
7 1
 
1.1%
9 1
 
1.1%
15 1
 
1.1%
10 1
 
1.1%
3 1
 
1.1%
1 1
 
1.1%
(Missing) 82
87.2%
ValueCountFrequency (%)
0 1
 
1.1%
1 1
 
1.1%
3 1
 
1.1%
5 2
2.1%
6 3
3.2%
7 1
 
1.1%
9 1
 
1.1%
10 1
 
1.1%
15 1
 
1.1%
ValueCountFrequency (%)
15 1
 
1.1%
10 1
 
1.1%
9 1
 
1.1%
7 1
 
1.1%
6 3
3.2%
5 2
2.1%
3 1
 
1.1%
1 1
 
1.1%
0 1
 
1.1%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
85 
3
 
3
1
 
3
2
 
2
0
 
1

Length

Max length4
Median length4
Mean length3.712766
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 85
90.4%
3 3
 
3.2%
1 3
 
3.2%
2 2
 
2.1%
0 1
 
1.1%

Length

2024-05-11T00:53:30.901672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:31.307174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
90.4%
3 3
 
3.2%
1 3
 
3.2%
2 2
 
2.1%
0 1
 
1.1%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

영문상호명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing93
Missing (%)98.9%
Memory size884.0 B
2024-05-11T00:53:31.804677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters9
Distinct characters9
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

Unique1 ?
Unique (%)100.0%

Sample

1st rowLAND TOUR
ValueCountFrequency (%)
land 1
50.0%
tour 1
50.0%
2024-05-11T00:53:32.674046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
L 1
11.1%
A 1
11.1%
N 1
11.1%
D 1
11.1%
1
11.1%
T 1
11.1%
O 1
11.1%
U 1
11.1%
R 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 8
88.9%
Space Separator 1
 
11.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
L 1
12.5%
A 1
12.5%
N 1
12.5%
D 1
12.5%
T 1
12.5%
O 1
12.5%
U 1
12.5%
R 1
12.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8
88.9%
Common 1
 
11.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
L 1
12.5%
A 1
12.5%
N 1
12.5%
D 1
12.5%
T 1
12.5%
O 1
12.5%
U 1
12.5%
R 1
12.5%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
L 1
11.1%
A 1
11.1%
N 1
11.1%
D 1
11.1%
1
11.1%
T 1
11.1%
O 1
11.1%
U 1
11.1%
R 1
11.1%

영문상호주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing93
Missing (%)98.9%
Memory size884.0 B
2024-05-11T00:53:33.165968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters22
Distinct characters16
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

Unique1 ?
Unique (%)100.0%

Sample

1st rowAbroad Travel Business
ValueCountFrequency (%)
abroad 1
33.3%
travel 1
33.3%
business 1
33.3%
2024-05-11T00:53:34.163017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 3
13.6%
r 2
 
9.1%
a 2
 
9.1%
2
 
9.1%
e 2
 
9.1%
A 1
 
4.5%
b 1
 
4.5%
o 1
 
4.5%
d 1
 
4.5%
T 1
 
4.5%
Other values (6) 6
27.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 17
77.3%
Uppercase Letter 3
 
13.6%
Space Separator 2
 
9.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 3
17.6%
r 2
11.8%
a 2
11.8%
e 2
11.8%
b 1
 
5.9%
o 1
 
5.9%
d 1
 
5.9%
v 1
 
5.9%
l 1
 
5.9%
u 1
 
5.9%
Other values (2) 2
11.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
T 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20
90.9%
Common 2
 
9.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 3
15.0%
r 2
 
10.0%
a 2
 
10.0%
e 2
 
10.0%
A 1
 
5.0%
b 1
 
5.0%
o 1
 
5.0%
d 1
 
5.0%
T 1
 
5.0%
v 1
 
5.0%
Other values (5) 5
25.0%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 3
13.6%
r 2
 
9.1%
a 2
 
9.1%
2
 
9.1%
e 2
 
9.1%
A 1
 
4.5%
b 1
 
4.5%
o 1
 
4.5%
d 1
 
4.5%
T 1
 
4.5%
Other values (6) 6
27.3%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)100.0%
Missing77
Missing (%)81.9%
Infinite0
Infinite (%)0.0%
Mean43.747647
Minimum0
Maximum255
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T00:53:34.589435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.28
Q111.78
median23
Q352.8
95-th percentile117.4
Maximum255
Range255
Interquartile range (IQR)41.02

Descriptive statistics

Standard deviation60.648685
Coefficient of variation (CV)1.3863302
Kurtosis9.8672977
Mean43.747647
Median Absolute Deviation (MAD)13.1
Skewness2.9288077
Sum743.71
Variance3678.2629
MonotonicityNot monotonic
2024-05-11T00:53:34.968122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
12.0 1
 
1.1%
7.92 1
 
1.1%
12.75 1
 
1.1%
83.0 1
 
1.1%
23.0 1
 
1.1%
255.0 1
 
1.1%
6.6 1
 
1.1%
17.0 1
 
1.1%
0.0 1
 
1.1%
82.28 1
 
1.1%
Other values (7) 7
 
7.4%
(Missing) 77
81.9%
ValueCountFrequency (%)
0.0 1
1.1%
6.6 1
1.1%
7.92 1
1.1%
9.9 1
1.1%
11.78 1
1.1%
12.0 1
1.1%
12.75 1
1.1%
17.0 1
1.1%
23.0 1
1.1%
31.07 1
1.1%
ValueCountFrequency (%)
255.0 1
1.1%
83.0 1
1.1%
82.28 1
1.1%
72.96 1
1.1%
52.8 1
1.1%
34.38 1
1.1%
31.27 1
1.1%
31.07 1
1.1%
23.0 1
1.1%
17.0 1
1.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

자본금
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)36.5%
Missing42
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean1.2676986 × 108
Minimum30000000
Maximum1.0022292 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T00:53:35.791215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30000000
5-th percentile30000000
Q160000000
median1 × 108
Q31 × 108
95-th percentile2.9 × 108
Maximum1.0022292 × 109
Range9.7222915 × 108
Interquartile range (IQR)40000000

Descriptive statistics

Standard deviation1.852143 × 108
Coefficient of variation (CV)1.4610279
Kurtosis18.842974
Mean1.2676986 × 108
Median Absolute Deviation (MAD)35157740
Skewness4.3269314
Sum6.5920325 × 109
Variance3.4304337 × 1016
MonotonicityNot monotonic
2024-05-11T00:53:36.509238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
100000000 17
18.1%
60000000 11
 
11.7%
30000000 5
 
5.3%
90000000 3
 
3.2%
150000000 2
 
2.1%
1000000000 1
 
1.1%
61267833 1
 
1.1%
67900000 1
 
1.1%
115680889 1
 
1.1%
61357456 1
 
1.1%
Other values (9) 9
 
9.6%
(Missing) 42
44.7%
ValueCountFrequency (%)
30000000 5
 
5.3%
60000000 11
11.7%
61267833 1
 
1.1%
61357456 1
 
1.1%
62241197 1
 
1.1%
67443322 1
 
1.1%
67900000 1
 
1.1%
70000000 1
 
1.1%
90000000 3
 
3.2%
100000000 17
18.1%
ValueCountFrequency (%)
1002229150 1
 
1.1%
1000000000 1
 
1.1%
400000000 1
 
1.1%
200000000 1
 
1.1%
187000000 1
 
1.1%
150000000 2
 
2.1%
115680889 1
 
1.1%
109112615 1
 
1.1%
107800000 1
 
1.1%
100000000 17
18.1%

보험시작일자
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)100.0%
Missing46
Missing (%)48.9%
Infinite0
Infinite (%)0.0%
Mean20149124
Minimum20060414
Maximum20210315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T00:53:37.092480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060414
5-th percentile20070380
Q120110709
median20151156
Q320190307
95-th percentile20197284
Maximum20210315
Range149901
Interquartile range (IQR)79598

Descriptive statistics

Standard deviation45558.816
Coefficient of variation (CV)0.0022610817
Kurtosis-0.93652039
Mean20149124
Median Absolute Deviation (MAD)39162
Skewness-0.60794783
Sum9.6715795 × 108
Variance2.0756058 × 109
MonotonicityNot monotonic
2024-05-11T00:53:37.732003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
20141218 1
 
1.1%
20150609 1
 
1.1%
20190306 1
 
1.1%
20151201 1
 
1.1%
20150604 1
 
1.1%
20151028 1
 
1.1%
20151111 1
 
1.1%
20141022 1
 
1.1%
20190119 1
 
1.1%
20190525 1
 
1.1%
Other values (38) 38
40.4%
(Missing) 46
48.9%
ValueCountFrequency (%)
20060414 1
1.1%
20060820 1
1.1%
20070203 1
1.1%
20070709 1
1.1%
20070914 1
1.1%
20080715 1
1.1%
20080823 1
1.1%
20080826 1
1.1%
20100118 1
1.1%
20100208 1
1.1%
ValueCountFrequency (%)
20210315 1
1.1%
20210201 1
1.1%
20200720 1
1.1%
20190904 1
1.1%
20190813 1
1.1%
20190715 1
1.1%
20190709 1
1.1%
20190604 1
1.1%
20190525 1
1.1%
20190410 1
1.1%

보험종료일자
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)100.0%
Missing46
Missing (%)48.9%
Infinite0
Infinite (%)0.0%
Mean20159354
Minimum20070414
Maximum20230314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T00:53:38.379897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070414
5-th percentile20080380
Q120120692
median20161120
Q320200306
95-th percentile20207283
Maximum20230314
Range159900
Interquartile range (IQR)79614.5

Descriptive statistics

Standard deviation45694.675
Coefficient of variation (CV)0.0022666736
Kurtosis-0.896376
Mean20159354
Median Absolute Deviation (MAD)39197
Skewness-0.59581616
Sum9.6764898 × 108
Variance2.0880033 × 109
MonotonicityNot monotonic
2024-05-11T00:53:39.006306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
20151217 1
 
1.1%
20160608 1
 
1.1%
20200305 1
 
1.1%
20161130 1
 
1.1%
20160603 1
 
1.1%
20161027 1
 
1.1%
20161110 1
 
1.1%
20161021 1
 
1.1%
20200118 1
 
1.1%
20200524 1
 
1.1%
Other values (38) 38
40.4%
(Missing) 46
48.9%
ValueCountFrequency (%)
20070414 1
1.1%
20070820 1
1.1%
20080203 1
1.1%
20080708 1
1.1%
20080914 1
1.1%
20090715 1
1.1%
20090822 1
1.1%
20090825 1
1.1%
20110117 1
1.1%
20110412 1
1.1%
ValueCountFrequency (%)
20230314 1
1.1%
20220131 1
1.1%
20210719 1
1.1%
20200903 1
1.1%
20200813 1
1.1%
20200714 1
1.1%
20200709 1
1.1%
20200604 1
1.1%
20200524 1
1.1%
20200409 1
1.1%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)88.2%
Missing77
Missing (%)81.9%
Infinite0
Infinite (%)0.0%
Mean43.764706
Minimum0
Maximum255
Zeros1
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T00:53:39.498059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.6
Q112
median23
Q353
95-th percentile117.4
Maximum255
Range255
Interquartile range (IQR)41

Descriptive statistics

Standard deviation60.612013
Coefficient of variation (CV)1.3849519
Kurtosis9.8943026
Mean43.764706
Median Absolute Deviation (MAD)13
Skewness2.9339081
Sum744
Variance3673.8162
MonotonicityNot monotonic
2024-05-11T00:53:39.946417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
12 2
 
2.1%
31 2
 
2.1%
0 1
 
1.1%
73 1
 
1.1%
53 1
 
1.1%
34 1
 
1.1%
82 1
 
1.1%
10 1
 
1.1%
17 1
 
1.1%
7 1
 
1.1%
Other values (5) 5
 
5.3%
(Missing) 77
81.9%
ValueCountFrequency (%)
0 1
1.1%
7 1
1.1%
8 1
1.1%
10 1
1.1%
12 2
2.1%
13 1
1.1%
17 1
1.1%
23 1
1.1%
31 2
2.1%
34 1
1.1%
ValueCountFrequency (%)
255 1
1.1%
83 1
1.1%
82 1
1.1%
73 1
1.1%
53 1
1.1%
34 1
1.1%
31 2
2.1%
23 1
1.1%
17 1
1.1%
13 1
1.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03100000CDFI226002199800000119980106<NA>3폐업3폐업20200414<NA><NA><NA>02-930-0236<NA>139942서울특별시 노원구 상계동 711-13번지서울특별시 노원구 동일로 1417 (상계동)<NA>(주)허니웨이여행사2020-04-14 16:37:33U2020-04-16 02:40:00.0<NA>205221.539177461414.218922국내외여행업관광사업<NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002019010620200105<NA><NA>
13100000CDFI226002199900000119990812<NA>3폐업3폐업20031010<NA><NA><NA><NA><NA>139801서울특별시 노원구 공릉동 386-6번지서울특별시 노원구 동일로192길 5 (공릉동)<NA>(주)현대관광2003-10-10 16:39:50I2018-08-31 23:59:59.0<NA>206401.782046458210.001927국내외여행업관광사업<NA>0<NA><NA><NA>근린생활시설00<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
23100000CDFI22600220010000012001-06-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-975-2001<NA>139-942서울특별시 노원구 상계동 709-1 은성빌딩 402호서울특별시 노원구 노해로 457, 402호 (상계동,은성빌딩)<NA>(주)롯데관광노원2023-03-06 17:31:06U2022-12-03 00:08:00.0<NA>205114.407299461315.44396<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33100000CDFI226002200200000120020529<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>139832서울특별시 노원구 상계동 723번지서울특별시 노원구 노해로 502 (상계동)1752(주)하나매니아2019-07-09 13:50:45U2019-07-11 02:40:00.0<NA>205550.908408461343.062227국내외여행업관광사업<NA><NA>기타<NA>서울보증보험주식회사근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002019010120191231<NA><NA>
43100000CDFI226002200200000220020729<NA>3폐업3폐업20090422<NA><NA><NA>02-933-3599<NA>139716서울특별시 노원구 상계동 730-3번지 다모아빌딩 5층 502호서울특별시 노원구 동일로 1379, 502호 (상계동,다모아빌딩 5층)<NA>(주) 여행향기2009-04-22 17:26:11I2018-08-31 23:59:59.0<NA>205302.900238461048.763789국내외여행업관광사업<NA><NA>아파트지역<NA>한국관광협회중앙회여행공제회근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1500000002006082020070820<NA><NA>
53100000CDFI226002200400000120040202<NA>3폐업3폐업20070726<NA><NA><NA>02-2236-9331<NA>139845서울특별시 노원구 월계동 386-6번지<NA><NA>(주)현대관광2007-07-27 10:36:25I2018-08-31 23:59:59.0<NA><NA><NA>국내외여행업관광사업<NA><NA><NA><NA>한국관광협회중앙회여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10000000002007020320080203<NA><NA>
63100000CDFI226002200400000220040316<NA>3폐업3폐업20050603<NA><NA><NA>02-952-0156<NA>139942서울특별시 노원구 상계동 710번지 문화빌딩 410호서울특별시 노원구 노해로77길 14-3, 410호 (상계동,문화빌딩)<NA>(주)닉스항공여행사2005-06-03 10:35:30I2018-08-31 23:59:59.0<NA>205164.054482461393.748689국내외여행업관광사업<NA>9<NA><NA><NA>사무실72<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100000000<NA><NA><NA><NA>
73100000CDFI226002200400000320041231<NA>3폐업3폐업20070501<NA><NA><NA>02-720-7272<NA>139865서울특별시 노원구 중계동 509-1번지 씨앤미빌딩 135호서울특별시 노원구 동일로204가길 34, 135호 (중계동,씨앤미빌딩)<NA>케이에스투어2007-05-01 18:08:54I2018-08-31 23:59:59.0<NA>205953.043736459822.608945국내외여행업관광사업<NA><NA><NA><NA>한국관광협회중앙회여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000002006041420070414<NA><NA>
83100000CDFI22600220040000042004-02-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 169-210 신흥빌딩서울특별시 노원구 한글비석로24길 14, 신흥빌딩 4층 407호 (상계동)1663(주)여행은2023-11-16 10:18:18U2022-10-31 23:08:00.0<NA>206270.823086462123.792298<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93100000CDFI226002200500000320051117<NA>3폐업3폐업20081217<NA><NA><NA>02-952-7897<NA>139838서울특별시 노원구 상계동 1258번지 오피앙오피스텔 1312호서울특별시 노원구 동일로 1701, 1312호 (상계동,오피앙오피스텔)<NA>예스몽골리아2008-12-17 15:16:40I2018-08-31 23:59:59.0<NA>204772.500639464208.305429국내외여행업관광사업<NA><NA><NA><NA>한국관광협회중앙회여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1091126152007070920080708<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
843100000CDFI22600220230000012023-01-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 450 교림노원프라자 130호서울특별시 노원구 한글비석로 444, 교림노원프라자 130호 (상계동)1666문화투어2024-01-06 16:49:17U2023-12-01 00:08:00.0<NA>205978.185784462367.006783<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
853100000CDFI22600220230000022023-02-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 716-3 중앙빌딩 4169호서울특별시 노원구 노해로 491, 중앙빌딩 4층 4169호 (상계동)1695한빛투어2023-02-07 12:59:04I2022-12-02 00:09:00.0<NA>205457.262344461407.049044<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
863100000CDFI22600220230000032023-03-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 716-3 중앙빌딩 4174호서울특별시 노원구 노해로 491, 중앙빌딩 4층 4174호 (상계동)1695헬팡투어2023-03-08 15:10:24I2022-12-02 23:00:00.0<NA>205457.262344461407.049044<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
873100000CDFI22600220230000042023-04-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-929-3546<NA><NA>서울특별시 노원구 중계동 509-2 홈플러스서울특별시 노원구 동일로204가길 12, 홈플러스 B1층 (중계동)1783한그린2023-04-27 09:42:18U2022-12-03 22:09:00.0<NA>205985.953325459730.437769<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
883100000CDFI22600220230000052023-09-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 567-2서울특별시 노원구 동일로 1038, 3층 325호 (공릉동)1845라이거투어2024-01-30 20:29:27U2023-12-02 00:01:00.0<NA>206485.004964457830.050222<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
893100000CDFI22600220230000062023-11-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 1110 두산아파트서울특별시 노원구 동일로241길 53, 상가동 2층 214호 (상계동, 두산아파트)1606주식회사 지구산책2024-01-30 20:17:31U2023-12-02 00:01:00.0<NA>204619.143524463887.942604<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
903100000CDFI22600220240000012022-12-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 581-123서울특별시 노원구 상계로1길 62, 2층 (상계동)1693그날의사이판2024-01-09 10:24:41I2023-11-30 23:01:00.0<NA>205362.548487461819.801186<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
913100000CDFI22600220240000022024-01-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 1372서울특별시 노원구 덕릉로127길 10-36, 1층 (상계동)1634김투어2024-02-02 17:39:33U2023-12-02 00:04:00.0<NA>207177.089425463330.604981<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
923100000CDFI22600220240000032024-01-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 434-2 현대종합상가서울특별시 노원구 한글비석로15길 48, 현대종합상가 118호 (중계동)1701투어파트너 주식회사2024-01-30 20:13:56U2023-12-02 00:01:00.0<NA>206415.545087461546.032266<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
933100000CDFI22600220240000042020-02-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-730-4555<NA><NA>서울특별시 노원구 공릉동 670-11 로우폴리스서울특별시 노원구 화랑로 449-7, 로우폴리스 202호 (공릉동)1849주식회사 위드투어갤러리2024-04-01 09:14:27U2023-12-04 00:03:00.0<NA>206720.607605457374.575999<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>