Overview

Dataset statistics

Number of variables60
Number of observations65
Missing cells1855
Missing cells (%)47.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.3 KiB
Average record size in memory524.0 B

Variable types

Categorical19
Text9
DateTime4
Unsupported20
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
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-17616/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건물용도명 has constant value ""Constant
총층수 is highly imbalanced (80.2%)Imbalance
지상층수 is highly imbalanced (76.8%)Imbalance
지하층수 is highly imbalanced (80.2%)Imbalance
객실수 is highly imbalanced (80.2%)Imbalance
건축연면적 is highly imbalanced (80.2%)Imbalance
영문상호주소 is highly imbalanced (51.3%)Imbalance
선박총톤수 is highly imbalanced (80.2%)Imbalance
선박척수 is highly imbalanced (80.2%)Imbalance
무대면적 is highly imbalanced (80.2%)Imbalance
좌석수 is highly imbalanced (80.2%)Imbalance
회의실별동시수용인원 is highly imbalanced (80.2%)Imbalance
놀이시설수 is highly imbalanced (80.2%)Imbalance
인허가취소일자 has 65 (100.0%) missing valuesMissing
폐업일자 has 48 (73.8%) missing valuesMissing
휴업시작일자 has 65 (100.0%) missing valuesMissing
휴업종료일자 has 65 (100.0%) missing valuesMissing
재개업일자 has 65 (100.0%) missing valuesMissing
전화번호 has 38 (58.5%) missing valuesMissing
소재지면적 has 65 (100.0%) missing valuesMissing
소재지우편번호 has 51 (78.5%) missing valuesMissing
도로명우편번호 has 2 (3.1%) missing valuesMissing
업태구분명 has 65 (100.0%) missing valuesMissing
문화사업자구분명 has 65 (100.0%) missing valuesMissing
지역구분명 has 65 (100.0%) missing valuesMissing
주변환경명 has 65 (100.0%) missing valuesMissing
제작취급품목내용 has 65 (100.0%) missing valuesMissing
보험기관명 has 49 (75.4%) missing valuesMissing
건물용도명 has 64 (98.5%) missing valuesMissing
영문상호명 has 54 (83.1%) missing valuesMissing
선박제원 has 65 (100.0%) missing valuesMissing
기념품종류 has 65 (100.0%) missing valuesMissing
시설면적 has 55 (84.6%) missing valuesMissing
놀이기구수내역 has 65 (100.0%) missing valuesMissing
방송시설유무 has 65 (100.0%) missing valuesMissing
발전시설유무 has 65 (100.0%) missing valuesMissing
의무실유무 has 65 (100.0%) missing valuesMissing
안내소유무 has 65 (100.0%) missing valuesMissing
기획여행보험시작일자 has 65 (100.0%) missing valuesMissing
기획여행보험종료일자 has 65 (100.0%) missing valuesMissing
자본금 has 43 (66.2%) missing valuesMissing
보험시작일자 has 48 (73.8%) missing valuesMissing
보험종료일자 has 48 (73.8%) missing valuesMissing
부대시설내역 has 65 (100.0%) missing valuesMissing
시설규모 has 55 (84.6%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 2 (3.1%) zerosZeros
시설규모 has 2 (3.1%) zerosZeros

Reproduction

Analysis started2024-05-11 00:54:36.554700
Analysis finished2024-05-11 00:54:38.281052
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
3140000
65 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3140000
2nd row3140000
3rd row3140000
4th row3140000
5th row3140000

Common Values

ValueCountFrequency (%)
3140000 65
100.0%

Length

2024-05-11T00:54:38.488404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:38.859066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3140000 65
100.0%

관리번호
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-11T00:54:39.454692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1300
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

Unique65 ?
Unique (%)100.0%

Sample

1st rowCDFI2260042001000001
2nd rowCDFI2260042004000001
3rd rowCDFI2260042007000002
4th rowCDFI2260042009000001
5th rowCDFI2260042011000001
ValueCountFrequency (%)
cdfi2260042001000001 1
 
1.5%
cdfi2260042020000003 1
 
1.5%
cdfi2260042020000006 1
 
1.5%
cdfi2260042020000007 1
 
1.5%
cdfi2260042020000008 1
 
1.5%
cdfi2260042020000009 1
 
1.5%
cdfi2260042021000001 1
 
1.5%
cdfi2260042021000002 1
 
1.5%
cdfi2260042021000003 1
 
1.5%
cdfi2260042021000004 1
 
1.5%
Other values (55) 55
84.6%
2024-05-11T00:54:40.852459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 529
40.7%
2 247
19.0%
4 81
 
6.2%
6 74
 
5.7%
C 65
 
5.0%
D 65
 
5.0%
F 65
 
5.0%
I 65
 
5.0%
1 53
 
4.1%
3 21
 
1.6%
Other values (4) 35
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1040
80.0%
Uppercase Letter 260
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 529
50.9%
2 247
23.8%
4 81
 
7.8%
6 74
 
7.1%
1 53
 
5.1%
3 21
 
2.0%
9 10
 
1.0%
5 10
 
1.0%
8 8
 
0.8%
7 7
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 65
25.0%
D 65
25.0%
F 65
25.0%
I 65
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1040
80.0%
Latin 260
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 529
50.9%
2 247
23.8%
4 81
 
7.8%
6 74
 
7.1%
1 53
 
5.1%
3 21
 
2.0%
9 10
 
1.0%
5 10
 
1.0%
8 8
 
0.8%
7 7
 
0.7%
Latin
ValueCountFrequency (%)
C 65
25.0%
D 65
25.0%
F 65
25.0%
I 65
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 529
40.7%
2 247
19.0%
4 81
 
6.2%
6 74
 
5.7%
C 65
 
5.0%
D 65
 
5.0%
F 65
 
5.0%
I 65
 
5.0%
1 53
 
4.1%
3 21
 
1.6%
Other values (4) 35
 
2.7%

인허가일자
Date

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum1998-06-23 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T00:54:41.484912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:54:42.039876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
1
47 
3
10 
5
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 47
72.3%
3 10
 
15.4%
5 8
 
12.3%

Length

2024-05-11T00:54:42.671149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:43.330151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 47
72.3%
3 10
 
15.4%
5 8
 
12.3%

영업상태명
Categorical

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
영업/정상
47 
폐업
10 
제외/삭제/전출
8 

Length

Max length8
Median length5
Mean length4.9076923
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 47
72.3%
폐업 10
 
15.4%
제외/삭제/전출 8
 
12.3%

Length

2024-05-11T00:54:43.748914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:44.342196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 47
72.3%
폐업 10
 
15.4%
제외/삭제/전출 8
 
12.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
13
47 
3
10 
15
8 

Length

Max length2
Median length2
Mean length1.8461538
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 47
72.3%
3 10
 
15.4%
15 8
 
12.3%

Length

2024-05-11T00:54:44.954757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:45.374010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 47
72.3%
3 10
 
15.4%
15 8
 
12.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
영업중
47 
폐업
10 
전출
8 

Length

Max length3
Median length3
Mean length2.7230769
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 47
72.3%
폐업 10
 
15.4%
전출 8
 
12.3%

Length

2024-05-11T00:54:45.797107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:46.189757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 47
72.3%
폐업 10
 
15.4%
전출 8
 
12.3%

폐업일자
Date

MISSING 

Distinct17
Distinct (%)100.0%
Missing48
Missing (%)73.8%
Memory size652.0 B
Minimum2012-10-17 00:00:00
Maximum2024-01-30 00:00:00
2024-05-11T00:54:46.732599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:54:47.292324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

전화번호
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing38
Missing (%)58.5%
Memory size652.0 B
2024-05-11T00:54:47.921289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.8888889
Min length7

Characters and Unicode

Total characters267
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

Unique27 ?
Unique (%)100.0%

Sample

1st row2652-8932
2nd row778-1818
3rd row2690-2112
4th row722-7128
5th row2646-8790
ValueCountFrequency (%)
2652-8932 1
 
3.7%
02-2061-3038 1
 
3.7%
36627922 1
 
3.7%
02-8894-7384 1
 
3.7%
02-319-4777 1
 
3.7%
02-2653-9905 1
 
3.7%
1800-6806 1
 
3.7%
02-3474-1414 1
 
3.7%
0221357617 1
 
3.7%
070-8888-0002 1
 
3.7%
Other values (17) 17
63.0%
2024-05-11T00:54:49.063486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 45
16.9%
0 37
13.9%
- 31
11.6%
8 29
10.9%
6 27
10.1%
1 20
7.5%
7 20
7.5%
4 18
 
6.7%
9 16
 
6.0%
3 13
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 236
88.4%
Dash Punctuation 31
 
11.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 45
19.1%
0 37
15.7%
8 29
12.3%
6 27
11.4%
1 20
8.5%
7 20
8.5%
4 18
 
7.6%
9 16
 
6.8%
3 13
 
5.5%
5 11
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 267
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 45
16.9%
0 37
13.9%
- 31
11.6%
8 29
10.9%
6 27
10.1%
1 20
7.5%
7 20
7.5%
4 18
 
6.7%
9 16
 
6.0%
3 13
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 267
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 45
16.9%
0 37
13.9%
- 31
11.6%
8 29
10.9%
6 27
10.1%
1 20
7.5%
7 20
7.5%
4 18
 
6.7%
9 16
 
6.0%
3 13
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

소재지우편번호
Text

MISSING 

Distinct13
Distinct (%)92.9%
Missing51
Missing (%)78.5%
Memory size652.0 B
2024-05-11T00:54:49.534793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2142857
Min length6

Characters and Unicode

Total characters87
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

Unique12 ?
Unique (%)85.7%

Sample

1st row158809
2nd row158-077
3rd row158718
4th row158859
5th row158052
ValueCountFrequency (%)
158718 2
14.3%
158809 1
 
7.1%
158-077 1
 
7.1%
158859 1
 
7.1%
158052 1
 
7.1%
158852 1
 
7.1%
158720 1
 
7.1%
158885 1
 
7.1%
158759 1
 
7.1%
158-825 1
 
7.1%
Other values (3) 3
21.4%
2024-05-11T00:54:50.713771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 25
28.7%
5 20
23.0%
1 18
20.7%
7 6
 
6.9%
0 4
 
4.6%
2 4
 
4.6%
9 3
 
3.4%
- 3
 
3.4%
4 2
 
2.3%
6 1
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 84
96.6%
Dash Punctuation 3
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 25
29.8%
5 20
23.8%
1 18
21.4%
7 6
 
7.1%
0 4
 
4.8%
2 4
 
4.8%
9 3
 
3.6%
4 2
 
2.4%
6 1
 
1.2%
3 1
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 87
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 25
28.7%
5 20
23.0%
1 18
20.7%
7 6
 
6.9%
0 4
 
4.6%
2 4
 
4.6%
9 3
 
3.4%
- 3
 
3.4%
4 2
 
2.3%
6 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 87
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 25
28.7%
5 20
23.0%
1 18
20.7%
7 6
 
6.9%
0 4
 
4.6%
2 4
 
4.6%
9 3
 
3.4%
- 3
 
3.4%
4 2
 
2.3%
6 1
 
1.1%

지번주소
Text

Distinct61
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-11T00:54:51.780509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length33
Mean length25.615385
Min length16

Characters and Unicode

Total characters1665
Distinct characters108
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)89.2%

Sample

1st row서울특별시 양천구 목동 543-2번지 지하1층
2nd row서울특별시 양천구 신정동 330-11 양천빌딩 501호
3rd row서울특별시 양천구 목동 923-14번지 현대드림타워 924호
4th row서울특별시 양천구 신정동 943-20번지 덕성빌딩 201호
5th row서울특별시 양천구 목동 202-9번지
ValueCountFrequency (%)
서울특별시 65
19.5%
양천구 65
19.5%
목동 32
 
9.6%
신정동 24
 
7.2%
신월동 9
 
2.7%
2층 4
 
1.2%
sambo 3
 
0.9%
지식산업센터 3
 
0.9%
lt 3
 
0.9%
신목동역 3
 
0.9%
Other values (105) 122
36.6%
2024-05-11T00:54:53.567549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
288
 
17.3%
동 74
 
4.4%
양 66
 
4.0%
천 66
 
4.0%
서 65
 
3.9%
울 65
 
3.9%
특 65
 
3.9%
별 65
 
3.9%
시 65
 
3.9%
구 65
 
3.9%
Other values (98) 781
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 925
55.6%
Decimal Number 354
 
21.3%
Space Separator 288
 
17.3%
Dash Punctuation 60
 
3.6%
Uppercase Letter 33
 
2.0%
Other Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 74
 
8.0%
양 66
 
7.1%
천 66
 
7.1%
서 65
 
7.0%
울 65
 
7.0%
특 65
 
7.0%
별 65
 
7.0%
시 65
 
7.0%
구 65
 
7.0%
목 40
 
4.3%
Other values (76) 289
31.2%
Decimal Number
ValueCountFrequency (%)
1 65
18.4%
9 47
13.3%
2 46
13.0%
3 39
11.0%
0 38
10.7%
4 33
9.3%
6 30
8.5%
5 26
 
7.3%
7 16
 
4.5%
8 14
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
M 6
18.2%
O 6
18.2%
S 4
12.1%
A 4
12.1%
K 4
12.1%
L 3
9.1%
T 3
9.1%
B 3
9.1%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
, 2
40.0%
Space Separator
ValueCountFrequency (%)
288
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 925
55.6%
Common 707
42.5%
Latin 33
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 74
 
8.0%
양 66
 
7.1%
천 66
 
7.1%
서 65
 
7.0%
울 65
 
7.0%
특 65
 
7.0%
별 65
 
7.0%
시 65
 
7.0%
구 65
 
7.0%
목 40
 
4.3%
Other values (76) 289
31.2%
Common
ValueCountFrequency (%)
288
40.7%
1 65
 
9.2%
- 60
 
8.5%
9 47
 
6.6%
2 46
 
6.5%
3 39
 
5.5%
0 38
 
5.4%
4 33
 
4.7%
6 30
 
4.2%
5 26
 
3.7%
Other values (4) 35
 
5.0%
Latin
ValueCountFrequency (%)
M 6
18.2%
O 6
18.2%
S 4
12.1%
A 4
12.1%
K 4
12.1%
L 3
9.1%
T 3
9.1%
B 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 925
55.6%
ASCII 740
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
288
38.9%
1 65
 
8.8%
- 60
 
8.1%
9 47
 
6.4%
2 46
 
6.2%
3 39
 
5.3%
0 38
 
5.1%
4 33
 
4.5%
6 30
 
4.1%
5 26
 
3.5%
Other values (12) 68
 
9.2%
Hangul
ValueCountFrequency (%)
동 74
 
8.0%
양 66
 
7.1%
천 66
 
7.1%
서 65
 
7.0%
울 65
 
7.0%
특 65
 
7.0%
별 65
 
7.0%
시 65
 
7.0%
구 65
 
7.0%
목 40
 
4.3%
Other values (76) 289
31.2%

도로명주소
Text

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-11T00:54:54.128773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length41
Mean length35.307692
Min length23

Characters and Unicode

Total characters2295
Distinct characters127
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)93.8%

Sample

1st row서울특별시 양천구 목동중앙북로16길 46-5 (목동,지하1층)
2nd row서울특별시 양천구 목동남로 93, 501호 (신정동,양천빌딩)
3rd row서울특별시 양천구 목동동로 233-1, 924호 (목동,현대드림타워)
4th row서울특별시 양천구 중앙로 302, 201호 (신정동,덕성빌딩)
5th row서울특별시 양천구 목동중앙로13나길 20-22 (목동)
ValueCountFrequency (%)
서울특별시 65
 
14.3%
양천구 65
 
14.3%
목동 30
 
6.6%
신정동 22
 
4.8%
신월동 9
 
2.0%
목동서로 8
 
1.8%
2층 8
 
1.8%
목동동로 7
 
1.5%
4층 6
 
1.3%
공항대로 4
 
0.9%
Other values (166) 230
50.7%
2024-05-11T00:54:55.238965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
397
 
17.3%
동 119
 
5.2%
1 93
 
4.1%
목 80
 
3.5%
, 75
 
3.3%
서 74
 
3.2%
양 69
 
3.0%
천 69
 
3.0%
로 67
 
2.9%
2 66
 
2.9%
Other values (117) 1186
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1263
55.0%
Space Separator 397
 
17.3%
Decimal Number 382
 
16.6%
Other Punctuation 78
 
3.4%
Close Punctuation 65
 
2.8%
Open Punctuation 65
 
2.8%
Uppercase Letter 33
 
1.4%
Dash Punctuation 12
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 119
 
9.4%
목 80
 
6.3%
서 74
 
5.9%
양 69
 
5.5%
천 69
 
5.5%
로 67
 
5.3%
구 65
 
5.1%
울 65
 
5.1%
시 65
 
5.1%
별 65
 
5.1%
Other values (93) 525
41.6%
Decimal Number
ValueCountFrequency (%)
1 93
24.3%
2 66
17.3%
3 49
12.8%
0 40
10.5%
5 32
 
8.4%
4 30
 
7.9%
9 23
 
6.0%
7 22
 
5.8%
8 14
 
3.7%
6 13
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
O 6
18.2%
M 6
18.2%
A 5
15.2%
B 4
12.1%
K 3
9.1%
S 3
9.1%
T 3
9.1%
L 3
9.1%
Other Punctuation
ValueCountFrequency (%)
, 75
96.2%
. 3
 
3.8%
Space Separator
ValueCountFrequency (%)
397
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1263
55.0%
Common 999
43.5%
Latin 33
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 119
 
9.4%
목 80
 
6.3%
서 74
 
5.9%
양 69
 
5.5%
천 69
 
5.5%
로 67
 
5.3%
구 65
 
5.1%
울 65
 
5.1%
시 65
 
5.1%
별 65
 
5.1%
Other values (93) 525
41.6%
Common
ValueCountFrequency (%)
397
39.7%
1 93
 
9.3%
, 75
 
7.5%
2 66
 
6.6%
) 65
 
6.5%
( 65
 
6.5%
3 49
 
4.9%
0 40
 
4.0%
5 32
 
3.2%
4 30
 
3.0%
Other values (6) 87
 
8.7%
Latin
ValueCountFrequency (%)
O 6
18.2%
M 6
18.2%
A 5
15.2%
B 4
12.1%
K 3
9.1%
S 3
9.1%
T 3
9.1%
L 3
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1263
55.0%
ASCII 1032
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
397
38.5%
1 93
 
9.0%
, 75
 
7.3%
2 66
 
6.4%
) 65
 
6.3%
( 65
 
6.3%
3 49
 
4.7%
0 40
 
3.9%
5 32
 
3.1%
4 30
 
2.9%
Other values (14) 120
 
11.6%
Hangul
ValueCountFrequency (%)
동 119
 
9.4%
목 80
 
6.3%
서 74
 
5.9%
양 69
 
5.5%
천 69
 
5.5%
로 67
 
5.3%
구 65
 
5.1%
울 65
 
5.1%
시 65
 
5.1%
별 65
 
5.1%
Other values (93) 525
41.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)66.7%
Missing2
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean8001.6667
Minimum7906
Maximum8101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T00:54:55.754774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7906
5-th percentile7932.4
Q17973
median8001
Q38023.5
95-th percentile8094.1
Maximum8101
Range195
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation45.506469
Coefficient of variation (CV)0.0056871238
Kurtosis0.073889873
Mean8001.6667
Median Absolute Deviation (MAD)25
Skewness0.25077478
Sum504105
Variance2070.8387
MonotonicityNot monotonic
2024-05-11T00:54:56.250238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
7995 4
 
6.2%
8039 3
 
4.6%
8022 3
 
4.6%
7978 3
 
4.6%
8005 3
 
4.6%
7997 3
 
4.6%
7973 2
 
3.1%
8026 2
 
3.1%
8095 2
 
3.1%
7968 2
 
3.1%
Other values (32) 36
55.4%
ValueCountFrequency (%)
7906 2
3.1%
7920 1
1.5%
7932 1
1.5%
7936 1
1.5%
7942 1
1.5%
7946 2
3.1%
7953 1
1.5%
7957 1
1.5%
7958 1
1.5%
7968 2
3.1%
ValueCountFrequency (%)
8101 1
 
1.5%
8100 1
 
1.5%
8095 2
3.1%
8086 1
 
1.5%
8077 1
 
1.5%
8073 1
 
1.5%
8053 1
 
1.5%
8049 1
 
1.5%
8039 3
4.6%
8028 1
 
1.5%

사업장명
Text

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-11T00:54:56.856047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length8.8
Min length3

Characters and Unicode

Total characters572
Distinct characters181
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

Unique61 ?
Unique (%)93.8%

Sample

1st row천마여행
2nd row(주)한서여행사
3rd row(주)대운
4th row(주)동성아이팩
5th row(주)황후여행사
ValueCountFrequency (%)
주식회사 14
 
15.9%
대신여행사 2
 
2.3%
주)누리마이스 2
 
2.3%
주)목화투어 1
 
1.1%
주)로열마일 1
 
1.1%
주)케이투정보통신 1
 
1.1%
트웰브스타즈 1
 
1.1%
중앙고속관광 1
 
1.1%
굿타임투어 1
 
1.1%
주)투어메모리 1
 
1.1%
Other values (63) 63
71.6%
2024-05-11T00:54:57.982805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 46
 
8.0%
( 33
 
5.8%
) 33
 
5.8%
사 30
 
5.2%
23
 
4.0%
회 16
 
2.8%
여 15
 
2.6%
행 15
 
2.6%
이 15
 
2.6%
식 14
 
2.4%
Other values (171) 332
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 432
75.5%
Open Punctuation 33
 
5.8%
Close Punctuation 33
 
5.8%
Uppercase Letter 31
 
5.4%
Space Separator 23
 
4.0%
Lowercase Letter 18
 
3.1%
Other Punctuation 1
 
0.2%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 46
 
10.6%
사 30
 
6.9%
회 16
 
3.7%
여 15
 
3.5%
행 15
 
3.5%
이 15
 
3.5%
식 14
 
3.2%
어 13
 
3.0%
투 13
 
3.0%
리 12
 
2.8%
Other values (137) 243
56.2%
Uppercase Letter
ValueCountFrequency (%)
O 6
19.4%
R 4
12.9%
T 3
9.7%
E 3
9.7%
A 2
 
6.5%
J 2
 
6.5%
L 2
 
6.5%
D 1
 
3.2%
V 1
 
3.2%
K 1
 
3.2%
Other values (6) 6
19.4%
Lowercase Letter
ValueCountFrequency (%)
u 3
16.7%
m 2
11.1%
e 2
11.1%
r 2
11.1%
d 1
 
5.6%
y 1
 
5.6%
v 1
 
5.6%
s 1
 
5.6%
l 1
 
5.6%
a 1
 
5.6%
Other values (3) 3
16.7%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 432
75.5%
Common 91
 
15.9%
Latin 49
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 46
 
10.6%
사 30
 
6.9%
회 16
 
3.7%
여 15
 
3.5%
행 15
 
3.5%
이 15
 
3.5%
식 14
 
3.2%
어 13
 
3.0%
투 13
 
3.0%
리 12
 
2.8%
Other values (137) 243
56.2%
Latin
ValueCountFrequency (%)
O 6
 
12.2%
R 4
 
8.2%
u 3
 
6.1%
T 3
 
6.1%
E 3
 
6.1%
A 2
 
4.1%
J 2
 
4.1%
m 2
 
4.1%
e 2
 
4.1%
r 2
 
4.1%
Other values (19) 20
40.8%
Common
ValueCountFrequency (%)
( 33
36.3%
) 33
36.3%
23
25.3%
. 1
 
1.1%
3 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 432
75.5%
ASCII 140
 
24.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 46
 
10.6%
사 30
 
6.9%
회 16
 
3.7%
여 15
 
3.5%
행 15
 
3.5%
이 15
 
3.5%
식 14
 
3.2%
어 13
 
3.0%
투 13
 
3.0%
리 12
 
2.8%
Other values (137) 243
56.2%
ASCII
ValueCountFrequency (%)
( 33
23.6%
) 33
23.6%
23
16.4%
O 6
 
4.3%
R 4
 
2.9%
u 3
 
2.1%
T 3
 
2.1%
E 3
 
2.1%
A 2
 
1.4%
J 2
 
1.4%
Other values (24) 28
20.0%

최종수정일자
Date

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2009-10-13 15:08:20
Maximum2024-05-08 10:20:43
2024-05-11T00:54:58.612000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:54:59.192236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
U
49 
I
16 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 49
75.4%
I 16
 
24.6%

Length

2024-05-11T00:54:59.754329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:00.287889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 49
75.4%
i 16
 
24.6%

데이터갱신일자
Date

Distinct50
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:00:00
2024-05-11T00:55:00.702765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:55:01.169792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

좌표정보(X)
Real number (ℝ)

Distinct54
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187908.18
Minimum184963.73
Maximum189645.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T00:55:01.865985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184963.73
5-th percentile185214.1
Q1186990.07
median188456.49
Q3188729.19
95-th percentile189436.72
Maximum189645.58
Range4681.8452
Interquartile range (IQR)1739.1201

Descriptive statistics

Standard deviation1271.7295
Coefficient of variation (CV)0.0067678241
Kurtosis0.015264742
Mean187908.18
Median Absolute Deviation (MAD)496.58046
Skewness-0.99869444
Sum12214032
Variance1617296
MonotonicityNot monotonic
2024-05-11T00:55:02.335336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188584.345447275 3
 
4.6%
189645.577035228 3
 
4.6%
188953.066831076 3
 
4.6%
187838.825895538 2
 
3.1%
188493.762740612 2
 
3.1%
188039.543424546 2
 
3.1%
188662.650418339 2
 
3.1%
185464.586725989 2
 
3.1%
185143.375565775 1
 
1.5%
188456.486375706 1
 
1.5%
Other values (44) 44
67.7%
ValueCountFrequency (%)
184963.731880946 1
1.5%
185023.275606938 1
1.5%
185143.375565775 1
1.5%
185189.161953746 1
1.5%
185313.848748186 1
1.5%
185464.586725989 2
3.1%
185615.520850794 1
1.5%
186026.699676967 1
1.5%
186471.9293383 1
1.5%
186692.093490005 1
1.5%
ValueCountFrequency (%)
189645.577035228 3
4.6%
189471.306217651 1
 
1.5%
189298.350170294 1
 
1.5%
189263.621687137 1
 
1.5%
189151.208015925 1
 
1.5%
188953.066831076 3
4.6%
188898.570471747 1
 
1.5%
188821.548867612 1
 
1.5%
188815.060184485 1
 
1.5%
188799.849402524 1
 
1.5%

좌표정보(Y)
Real number (ℝ)

Distinct54
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447393.67
Minimum445218.11
Maximum449789.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T00:55:02.813255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445218.11
5-th percentile445712.83
Q1446617.18
median446966.46
Q3448405.57
95-th percentile449346.81
Maximum449789.61
Range4571.508
Interquartile range (IQR)1788.391

Descriptive statistics

Standard deviation1168.8761
Coefficient of variation (CV)0.0026126343
Kurtosis-0.82348057
Mean447393.67
Median Absolute Deviation (MAD)578.55081
Skewness0.44865013
Sum29080589
Variance1366271.3
MonotonicityNot monotonic
2024-05-11T00:55:03.246688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447255.070457495 3
 
4.6%
448883.249477683 3
 
4.6%
447333.569187997 3
 
4.6%
446966.45927906 2
 
3.1%
447213.539278579 2
 
3.1%
446149.197185122 2
 
3.1%
446905.935827385 2
 
3.1%
446714.49308267 2
 
3.1%
445610.277402204 1
 
1.5%
449112.890911306 1
 
1.5%
Other values (44) 44
67.7%
ValueCountFrequency (%)
445218.105355275 1
1.5%
445478.395298097 1
1.5%
445480.509688438 1
1.5%
445610.277402204 1
1.5%
446123.034540646 1
1.5%
446149.197185122 2
3.1%
446176.810389121 1
1.5%
446209.443633413 1
1.5%
446369.138672307 1
1.5%
446387.908464862 1
1.5%
ValueCountFrequency (%)
449789.613381329 1
1.5%
449701.802558519 1
1.5%
449396.806374349 1
1.5%
449388.09592117 1
1.5%
449181.682999364 1
1.5%
449156.76458596 1
1.5%
449126.242342399 1
1.5%
449112.890911306 1
1.5%
449102.631964338 1
1.5%
449089.058005759 1
1.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
41 
종합여행업
24 

Length

Max length5
Median length4
Mean length4.3692308
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 41
63.1%
종합여행업 24
36.9%

Length

2024-05-11T00:55:03.691783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:04.030733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
63.1%
종합여행업 24
36.9%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
63 
0
 
2

Length

Max length4
Median length4
Mean length3.9076923
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> 63
96.9%
0 2
 
3.1%

Length

2024-05-11T00:55:04.473845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:04.889933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
96.9%
0 2
 
3.1%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

보험기관명
Text

MISSING 

Distinct12
Distinct (%)75.0%
Missing49
Missing (%)75.4%
Memory size652.0 B
2024-05-11T00:55:05.357330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14.5
Mean length11.3125
Min length6

Characters and Unicode

Total characters181
Distinct characters32
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)56.2%

Sample

1st row한국관광협회중앙회
2nd row한국관광협회
3rd row한국관광협회
4th row한국여행업협회
5th row서울보증보험(육천오백만)
ValueCountFrequency (%)
서울보증보험(5천만원 3
16.7%
한국관광협회 2
11.1%
서울보증보험주식회사 2
11.1%
한국관광협회중앙회 1
 
5.6%
한국여행업협회 1
 
5.6%
서울보증보험(육천오백만 1
 
5.6%
서울보증보험주식회사(오천만원 1
 
5.6%
서울보증보험(오천만원 1
 
5.6%
관광협회중앙회(오천만원 1
 
5.6%
서울시 1
 
5.6%
Other values (4) 4
22.2%
2024-05-11T00:55:06.405411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 18
 
9.9%
회 12
 
6.6%
울 10
 
5.5%
서 10
 
5.5%
험 9
 
5.0%
천 9
 
5.0%
만 9
 
5.0%
) 9
 
5.0%
증 9
 
5.0%
( 9
 
5.0%
Other values (22) 77
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147
81.2%
Decimal Number 12
 
6.6%
Close Punctuation 9
 
5.0%
Open Punctuation 9
 
5.0%
Space Separator 2
 
1.1%
Other Punctuation 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 18
 
12.2%
회 12
 
8.2%
울 10
 
6.8%
서 10
 
6.8%
험 9
 
6.1%
천 9
 
6.1%
만 9
 
6.1%
증 9
 
6.1%
원 8
 
5.4%
협 7
 
4.8%
Other values (16) 46
31.3%
Decimal Number
ValueCountFrequency (%)
0 7
58.3%
5 5
41.7%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147
81.2%
Common 34
 
18.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 18
 
12.2%
회 12
 
8.2%
울 10
 
6.8%
서 10
 
6.8%
험 9
 
6.1%
천 9
 
6.1%
만 9
 
6.1%
증 9
 
6.1%
원 8
 
5.4%
협 7
 
4.8%
Other values (16) 46
31.3%
Common
ValueCountFrequency (%)
) 9
26.5%
( 9
26.5%
0 7
20.6%
5 5
14.7%
2
 
5.9%
, 2
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147
81.2%
ASCII 34
 
18.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 18
 
12.2%
회 12
 
8.2%
울 10
 
6.8%
서 10
 
6.8%
험 9
 
6.1%
천 9
 
6.1%
만 9
 
6.1%
증 9
 
6.1%
원 8
 
5.4%
협 7
 
4.8%
Other values (16) 46
31.3%
ASCII
ValueCountFrequency (%)
) 9
26.5%
( 9
26.5%
0 7
20.6%
5 5
14.7%
2
 
5.9%
, 2
 
5.9%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing64
Missing (%)98.5%
Memory size652.0 B
2024-05-11T00:55:06.931754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

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

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row근린생활시설
ValueCountFrequency (%)
근린생활시설 1
100.0%
2024-05-11T00:55:07.876179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
60 
0
 
2
13
 
1
15
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.8
Min length1

Unique

Unique3 ?
Unique (%)4.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
92.3%
0 2
 
3.1%
13 1
 
1.5%
15 1
 
1.5%
4 1
 
1.5%

Length

2024-05-11T00:55:08.314407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:08.717337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
92.3%
0 2
 
3.1%
13 1
 
1.5%
15 1
 
1.5%
4 1
 
1.5%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
63 
0
 
2

Length

Max length4
Median length4
Mean length3.9076923
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> 63
96.9%
0 2
 
3.1%

Length

2024-05-11T00:55:09.332603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:09.806930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
96.9%
0 2
 
3.1%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
63 
0
 
2

Length

Max length4
Median length4
Mean length3.9076923
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> 63
96.9%
0 2
 
3.1%

Length

2024-05-11T00:55:10.179688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:10.568496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
96.9%
0 2
 
3.1%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
63 
0
 
2

Length

Max length4
Median length4
Mean length3.9076923
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> 63
96.9%
0 2
 
3.1%

Length

2024-05-11T00:55:11.115350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:11.603919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
96.9%
0 2
 
3.1%

영문상호명
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing54
Missing (%)83.1%
Memory size652.0 B
2024-05-11T00:55:12.165403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length18.727273
Min length11

Characters and Unicode

Total characters206
Distinct characters42
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)100.0%

Sample

1st rowTIANMA TOUR
2nd rowDaewoon Co., Ltd.
3rd rowTONG SUNG I PACK CORP.
4th rowHwanghu Travel Agency
5th rowVIVA TOUR Co., Ltd.
ValueCountFrequency (%)
co 5
 
13.5%
ltd 5
 
13.5%
tour 4
 
10.8%
travel 3
 
8.1%
tianma 1
 
2.7%
goollungsheh 1
 
2.7%
stars 1
 
2.7%
twelve 1
 
2.7%
sabyul 1
 
2.7%
bayl 1
 
2.7%
Other values (14) 14
37.8%
2024-05-11T00:55:13.357120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
12.6%
L 13
 
6.3%
T 12
 
5.8%
. 11
 
5.3%
A 9
 
4.4%
O 9
 
4.4%
o 8
 
3.9%
C 8
 
3.9%
U 7
 
3.4%
R 7
 
3.4%
Other values (32) 96
46.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 99
48.1%
Lowercase Letter 64
31.1%
Space Separator 26
 
12.6%
Other Punctuation 17
 
8.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
L 13
13.1%
T 12
12.1%
A 9
9.1%
O 9
9.1%
C 8
 
8.1%
U 7
 
7.1%
R 7
 
7.1%
S 5
 
5.1%
G 4
 
4.0%
N 4
 
4.0%
Other values (11) 21
21.2%
Lowercase Letter
ValueCountFrequency (%)
o 8
12.5%
t 7
10.9%
e 7
10.9%
d 6
9.4%
a 6
9.4%
r 4
 
6.2%
l 4
 
6.2%
n 4
 
6.2%
w 3
 
4.7%
v 3
 
4.7%
Other values (8) 12
18.8%
Other Punctuation
ValueCountFrequency (%)
. 11
64.7%
, 6
35.3%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 163
79.1%
Common 43
 
20.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
L 13
 
8.0%
T 12
 
7.4%
A 9
 
5.5%
O 9
 
5.5%
o 8
 
4.9%
C 8
 
4.9%
U 7
 
4.3%
R 7
 
4.3%
t 7
 
4.3%
e 7
 
4.3%
Other values (29) 76
46.6%
Common
ValueCountFrequency (%)
26
60.5%
. 11
25.6%
, 6
 
14.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 206
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
 
12.6%
L 13
 
6.3%
T 12
 
5.8%
. 11
 
5.3%
A 9
 
4.4%
O 9
 
4.4%
o 8
 
3.9%
C 8
 
3.9%
U 7
 
3.4%
R 7
 
3.4%
Other values (32) 96
46.6%

영문상호주소
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
54 
GENERAL TRAVEL BUSINESS
9 
General Travel Business
 
2

Length

Max length23
Median length4
Mean length7.2153846
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 54
83.1%
GENERAL TRAVEL BUSINESS 9
 
13.8%
General Travel Business 2
 
3.1%

Length

2024-05-11T00:55:13.977786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:14.356472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
62.1%
general 11
 
12.6%
travel 11
 
12.6%
business 11
 
12.6%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
63 
0
 
2

Length

Max length4
Median length4
Mean length3.9076923
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> 63
96.9%
0 2
 
3.1%

Length

2024-05-11T00:55:14.961743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:15.537622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
96.9%
0 2
 
3.1%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
63 
0
 
2

Length

Max length4
Median length4
Mean length3.9076923
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> 63
96.9%
0 2
 
3.1%

Length

2024-05-11T00:55:16.279942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:17.133074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
96.9%
0 2
 
3.1%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
63 
0
 
2

Length

Max length4
Median length4
Mean length3.9076923
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> 63
96.9%
0 2
 
3.1%

Length

2024-05-11T00:55:17.842011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:18.492754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
96.9%
0 2
 
3.1%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
63 
0
 
2

Length

Max length4
Median length4
Mean length3.9076923
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> 63
96.9%
0 2
 
3.1%

Length

2024-05-11T00:55:18.990186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:19.403368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
96.9%
0 2
 
3.1%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
63 
0
 
2

Length

Max length4
Median length4
Mean length3.9076923
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> 63
96.9%
0 2
 
3.1%

Length

2024-05-11T00:55:19.957877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:20.405960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
96.9%
0 2
 
3.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)90.0%
Missing55
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean43.012
Minimum0
Maximum115
Zeros2
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T00:55:20.889399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121
median30.21
Q371.8975
95-th percentile98.8045
Maximum115
Range115
Interquartile range (IQR)50.8975

Descriptive statistics

Standard deviation37.674788
Coefficient of variation (CV)0.87591342
Kurtosis-0.28868535
Mean43.012
Median Absolute Deviation (MAD)26.87
Skewness0.72615735
Sum430.12
Variance1419.3896
MonotonicityNot monotonic
2024-05-11T00:55:21.343756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 2
 
3.1%
79.01 1
 
1.5%
53.74 1
 
1.5%
20.0 1
 
1.5%
25.64 1
 
1.5%
115.0 1
 
1.5%
24.0 1
 
1.5%
77.95 1
 
1.5%
34.78 1
 
1.5%
(Missing) 55
84.6%
ValueCountFrequency (%)
0.0 2
3.1%
20.0 1
1.5%
24.0 1
1.5%
25.64 1
1.5%
34.78 1
1.5%
53.74 1
1.5%
77.95 1
1.5%
79.01 1
1.5%
115.0 1
1.5%
ValueCountFrequency (%)
115.0 1
1.5%
79.01 1
1.5%
77.95 1
1.5%
53.74 1
1.5%
34.78 1
1.5%
25.64 1
1.5%
24.0 1
1.5%
20.0 1
1.5%
0.0 2
3.1%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
63 
0
 
2

Length

Max length4
Median length4
Mean length3.9076923
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> 63
96.9%
0 2
 
3.1%

Length

2024-05-11T00:55:21.895523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:55:22.300862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
96.9%
0 2
 
3.1%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

자본금
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)40.9%
Missing43
Missing (%)66.2%
Infinite0
Infinite (%)0.0%
Mean2.0919166 × 108
Minimum50000000
Maximum3.5261793 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T00:55:22.607117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50000000
5-th percentile1 × 108
Q11.174489 × 108
median2 × 108
Q32.9825 × 108
95-th percentile3.5 × 108
Maximum3.5261793 × 108
Range3.0261793 × 108
Interquartile range (IQR)1.808011 × 108

Descriptive statistics

Standard deviation95445412
Coefficient of variation (CV)0.45625822
Kurtosis-1.0963543
Mean2.0919166 × 108
Median Absolute Deviation (MAD)96700733
Skewness0.17331965
Sum4.6022165 × 109
Variance9.1098268 × 1015
MonotonicityNot monotonic
2024-05-11T00:55:23.017062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
200000000 8
 
12.3%
100000000 4
 
6.2%
350000000 3
 
4.6%
300000000 2
 
3.1%
352617930 1
 
1.5%
293000000 1
 
1.5%
106598534 1
 
1.5%
150000000 1
 
1.5%
50000000 1
 
1.5%
(Missing) 43
66.2%
ValueCountFrequency (%)
50000000 1
 
1.5%
100000000 4
6.2%
106598534 1
 
1.5%
150000000 1
 
1.5%
200000000 8
12.3%
293000000 1
 
1.5%
300000000 2
 
3.1%
350000000 3
 
4.6%
352617930 1
 
1.5%
ValueCountFrequency (%)
352617930 1
 
1.5%
350000000 3
 
4.6%
300000000 2
 
3.1%
293000000 1
 
1.5%
200000000 8
12.3%
150000000 1
 
1.5%
106598534 1
 
1.5%
100000000 4
6.2%
50000000 1
 
1.5%

보험시작일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)94.1%
Missing48
Missing (%)73.8%
Infinite0
Infinite (%)0.0%
Mean20168794
Minimum20081116
Maximum20220110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T00:55:23.471659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081116
5-th percentile20088712
Q120150619
median20170709
Q320210610
95-th percentile20220103
Maximum20220110
Range138994
Interquartile range (IQR)59991

Descriptive statistics

Standard deviation45932.14
Coefficient of variation (CV)0.0022773866
Kurtosis-0.39679835
Mean20168794
Median Absolute Deviation (MAD)29704
Skewness-0.80582178
Sum3.428695 × 108
Variance2.1097615 × 109
MonotonicityNot monotonic
2024-05-11T00:55:24.169029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20210611 2
 
3.1%
20170224 1
 
1.5%
20220110 1
 
1.5%
20220101 1
 
1.5%
20210610 1
 
1.5%
20200207 1
 
1.5%
20170709 1
 
1.5%
20090720 1
 
1.5%
20090611 1
 
1.5%
20200413 1
 
1.5%
Other values (6) 6
 
9.2%
(Missing) 48
73.8%
ValueCountFrequency (%)
20081116 1
1.5%
20090611 1
1.5%
20090720 1
1.5%
20141105 1
1.5%
20150619 1
1.5%
20160303 1
1.5%
20161220 1
1.5%
20170224 1
1.5%
20170709 1
1.5%
20180207 1
1.5%
ValueCountFrequency (%)
20220110 1
1.5%
20220101 1
1.5%
20210611 2
3.1%
20210610 1
1.5%
20200413 1
1.5%
20200207 1
1.5%
20180207 1
1.5%
20170709 1
1.5%
20170224 1
1.5%
20161220 1
1.5%

보험종료일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)94.1%
Missing48
Missing (%)73.8%
Infinite0
Infinite (%)0.0%
Mean20178272
Minimum20091116
Maximum20230110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T00:55:24.575567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20091116
5-th percentile20098712
Q120160619
median20180708
Q320220609
95-th percentile20223007
Maximum20230110
Range138994
Interquartile range (IQR)59990

Descriptive statistics

Standard deviation45359.48
Coefficient of variation (CV)0.0022479368
Kurtosis-0.35936827
Mean20178272
Median Absolute Deviation (MAD)29704
Skewness-0.84209628
Sum3.4303062 × 108
Variance2.0574824 × 109
MonotonicityNot monotonic
2024-05-11T00:55:25.118217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20220610 2
 
3.1%
20180224 1
 
1.5%
20230110 1
 
1.5%
20221231 1
 
1.5%
20220609 1
 
1.5%
20210206 1
 
1.5%
20180708 1
 
1.5%
20100720 1
 
1.5%
20100611 1
 
1.5%
20210412 1
 
1.5%
Other values (6) 6
 
9.2%
(Missing) 48
73.8%
ValueCountFrequency (%)
20091116 1
1.5%
20100611 1
1.5%
20100720 1
1.5%
20151104 1
1.5%
20160619 1
1.5%
20170302 1
1.5%
20171219 1
1.5%
20180224 1
1.5%
20180708 1
1.5%
20190206 1
1.5%
ValueCountFrequency (%)
20230110 1
1.5%
20221231 1
1.5%
20220610 2
3.1%
20220609 1
1.5%
20210412 1
1.5%
20210206 1
1.5%
20190206 1
1.5%
20180708 1
1.5%
20180224 1
1.5%
20171219 1
1.5%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)90.0%
Missing55
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean43.1
Minimum0
Maximum115
Zeros2
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T00:55:25.508282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121
median30.5
Q372
95-th percentile98.8
Maximum115
Range115
Interquartile range (IQR)51

Descriptive statistics

Standard deviation37.663569
Coefficient of variation (CV)0.87386471
Kurtosis-0.29446541
Mean43.1
Median Absolute Deviation (MAD)27
Skewness0.71960236
Sum431
Variance1418.5444
MonotonicityNot monotonic
2024-05-11T00:55:25.851411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 2
 
3.1%
79 1
 
1.5%
54 1
 
1.5%
20 1
 
1.5%
26 1
 
1.5%
115 1
 
1.5%
24 1
 
1.5%
78 1
 
1.5%
35 1
 
1.5%
(Missing) 55
84.6%
ValueCountFrequency (%)
0 2
3.1%
20 1
1.5%
24 1
1.5%
26 1
1.5%
35 1
1.5%
54 1
1.5%
78 1
1.5%
79 1
1.5%
115 1
1.5%
ValueCountFrequency (%)
115 1
1.5%
79 1
1.5%
78 1
1.5%
54 1
1.5%
35 1
1.5%
26 1
1.5%
24 1
1.5%
20 1
1.5%
0 2
3.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03140000CDFI226004200100000120011220<NA>1영업/정상13영업중<NA><NA><NA><NA>2652-8932<NA>158809서울특별시 양천구 목동 543-2번지 지하1층서울특별시 양천구 목동중앙북로16길 46-5 (목동,지하1층)7973천마여행2009-10-13 15:08:20I2018-08-31 23:59:59.0<NA>188755.446451449089.058006종합여행업<NA><NA><NA><NA><NA>한국관광협회중앙회<NA><NA><NA><NA><NA>TIANMA TOURGENERAL TRAVEL BUSINESS<NA><NA><NA><NA><NA><NA><NA>79.01<NA><NA><NA><NA><NA><NA><NA><NA>3526179302009072020100720<NA>79
13140000CDFI22600420040000012004-08-03<NA>1영업/정상13영업중<NA><NA><NA><NA>778-1818<NA>158-077서울특별시 양천구 신정동 330-11 양천빌딩 501호서울특별시 양천구 목동남로 93, 501호 (신정동,양천빌딩)8100(주)한서여행사2023-03-07 10:34:14U2022-12-03 00:09:00.0<NA>188352.643334445478.395298<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23140000CDFI226004200700000220070724<NA>3폐업3폐업20121017<NA><NA><NA>2690-2112<NA>158718서울특별시 양천구 목동 923-14번지 현대드림타워 924호서울특별시 양천구 목동동로 233-1, 924호 (목동,현대드림타워)<NA>(주)대운2012-10-17 16:50:03I2018-08-31 23:59:59.0<NA>188584.345447447255.070457종합여행업<NA><NA><NA><NA><NA>한국관광협회<NA><NA><NA><NA><NA>Daewoon Co., Ltd.GENERAL TRAVEL BUSINESS<NA><NA><NA><NA><NA><NA><NA>53.74<NA><NA><NA><NA><NA><NA><NA><NA>3500000002009061120100611<NA>54
33140000CDFI226004200900000120060901<NA>1영업/정상13영업중<NA><NA><NA><NA>722-7128<NA>158859서울특별시 양천구 신정동 943-20번지 덕성빌딩 201호서울특별시 양천구 중앙로 302, 201호 (신정동,덕성빌딩)8019(주)동성아이팩2009-10-14 14:23:28I2018-08-31 23:59:59.0<NA>186824.358676446781.210398종합여행업<NA><NA><NA><NA><NA>한국관광협회<NA><NA><NA><NA><NA>TONG SUNG I PACK CORP.GENERAL TRAVEL BUSINESS<NA><NA><NA><NA><NA><NA><NA>20.0<NA><NA><NA><NA><NA><NA><NA><NA>3500000002008111620091116<NA>20
43140000CDFI226004201100000120110614<NA>3폐업3폐업20150721<NA><NA><NA><NA><NA>158052서울특별시 양천구 목동 202-9번지서울특별시 양천구 목동중앙로13나길 20-22 (목동)<NA>(주)황후여행사2015-07-21 16:12:20I2018-08-31 23:59:59.0<NA>189298.35017449156.764586종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Hwanghu Travel AgencyGENERAL TRAVEL BUSINESS<NA><NA><NA><NA><NA><NA><NA>25.64<NA><NA><NA><NA><NA><NA><NA><NA>300000000<NA><NA><NA>26
53140000CDFI226004201100000220111025<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>158852서울특별시 양천구 신정동 296-16번지 2층 202호서울특별시 양천구 신목로7길 5 (신정동, 2층 202호)8014(주)한중국제물산2011-10-30 15:05:01I2018-08-31 23:59:59.0<NA>188587.553011446387.908465종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>115.0<NA><NA><NA><NA><NA><NA><NA><NA>200000000<NA><NA><NA>115
63140000CDFI226004201200000120120213<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 723-16번지서울특별시 양천구 목동중앙남로11길 11, 지층 (목동)7958주식회사 비바비즈2018-03-20 13:35:52I2018-08-31 23:59:59.0<NA>188029.722186448558.060974종합여행업<NA><NA><NA><NA><NA>한국여행업협회<NA><NA><NA><NA><NA>VIVA TOUR Co., Ltd.GENERAL TRAVEL BUSINESS<NA><NA><NA><NA><NA><NA><NA>24.0<NA><NA><NA><NA><NA><NA><NA><NA>2000000002015061920160619<NA>24
73140000CDFI226004201200000320070511<NA>1영업/정상13영업중<NA><NA><NA><NA>2646-8790<NA>158720서울특별시 양천구 목동 923-6 대한민국 예술인센터 5층 501호서울특별시 양천구 목동서로 225 (목동, 대한민국 예술인센터 5층 501호)7995재단법인 한국이민재단2022-09-06 13:01:15U2021-12-09 00:08:00.0<NA>188493.762741447213.539279<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83140000CDFI226004201200000420120823<NA>1영업/정상13영업중<NA><NA><NA><NA>2601-5868<NA>158885서울특별시 양천구 신정동 319-20번지 삼정빌딩 105호서울특별시 양천구 목동서로 301-5 (신정동, 삼정빌딩 105호)8013대신여행사2012-08-23 16:56:03I2018-08-31 23:59:59.0<NA>188388.652748446446.200138종합여행업<NA><NA><NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>200000000<NA><NA><NA><NA>
93140000CDFI226004201300000120130620<NA>1영업/정상13영업중<NA><NA><NA><NA>2642-4000<NA>158718서울특별시 양천구 목동 923-14번지서울특별시 양천구 목동동로 233-1, 1311호 (목동, 현대드림타워 )7995주식회사 효산2020-04-03 16:39:02U2020-04-05 02:40:00.0<NA>188584.345447447255.070457종합여행업<NA><NA><NA><NA><NA><NA><NA>13<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>350000000<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
553140000CDFI22600420230000062023-05-01<NA>3폐업3폐업2023-05-02<NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 321-6 센트럴프라자서울특별시 양천구 목동서로 349, 센트럴프라자 9층 914호 (신정동)8095해와3여행사2023-05-25 14:58:08U2022-12-04 22:07:00.0<NA>188039.543425446149.197185<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563140000CDFI22600420230000072023-06-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 998-11 한농빌딩 48호서울특별시 양천구 목동로17길 11, 한농빌딩 4층 48호 (신정동)8022투어제주코리아2023-06-21 17:24:02U2022-12-05 22:03:00.0<NA>187802.461285446915.16323<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573140000CDFI22600420230000082023-07-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 996-1서울특별시 양천구 목동로19길 11, 한농빌딩 4층 55호 (신정동)8022리우여행사2023-07-20 10:37:07U2022-12-06 22:02:00.0<NA>187838.825896446966.459279<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583140000CDFI22600420230000092023-09-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 526-47서울특별시 양천구 목동중앙북로16가길 3, 지하층 (목동)7971관광인력일자리협동조합(TOURJOB COOP)2023-10-10 16:22:35U2022-10-30 23:02:00.0<NA>188799.849403449181.682999<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
593140000CDFI22600420230000101998-06-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 515서울특별시 양천구 공항대로 634, 3층 302호 (목동)7968(주)목화투어2023-10-31 10:18:52I2022-11-01 00:02:00.0<NA>188898.570472449388.095921<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
603140000CDFI22600420230000112020-05-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 971-20 명성빌딩서울특별시 양천구 중앙로 294, 명성빌딩 6층 26호 (신정동)8026주식회사 로얄레저앤트래블2023-11-22 10:11:56U2022-10-31 22:04:00.0<NA>186852.153852446714.974104<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
613140000CDFI22600420240000012020-02-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 972-6 퀸즈 포디엄서울특별시 양천구 신월로 289, 퀸즈 포디엄 204호 (신정동)8026(주)누리마이스2024-03-22 17:12:46I2023-12-02 22:04:00.0<NA>186928.826903446591.038133<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
623140000CDFI22600420240000022020-11-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 900-4 신목동역 LT SAMBO 지식산업센터 M.OK서울특별시 양천구 안양천로 1131, 신목동역 LT SAMBO 지식산업센터 M.OK 7층 707호 (목동)7978한국지엔씨(주)2024-04-22 09:36:42U2023-12-03 22:04:00.0<NA>189645.577035448883.249478<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
633140000CDFI22600420240000032015-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 900-4 신목동역 LT SAMBO 지식산업센터 M.OK서울특별시 양천구 안양천로 1131, 신목동역 LT SAMBO 지식산업센터 M.OK 7층 707호 (목동)7978(주)한국주택이엔씨2024-04-22 09:06:29U2023-12-03 22:04:00.0<NA>189645.577035448883.249478<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
643140000CDFI22600420240000042024-04-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 964-1서울특별시 양천구 오목로32길 23, 102호 (신정동)8025오아시스월드여행사2024-05-08 10:20:43U2023-12-04 23:00:00.0<NA>187137.092205446735.979236<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>