Overview

Dataset statistics

Number of variables60
Number of observations126
Missing cells3200
Missing cells (%)42.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory64.0 KiB
Average record size in memory520.0 B

Variable types

Categorical22
Text9
DateTime4
Unsupported17
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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-17580/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (81.9%)Imbalance
주변환경명 is highly imbalanced (79.7%)Imbalance
건물용도명 is highly imbalanced (74.6%)Imbalance
지상층수 is highly imbalanced (78.2%)Imbalance
지하층수 is highly imbalanced (83.2%)Imbalance
객실수 is highly imbalanced (83.8%)Imbalance
건축연면적 is highly imbalanced (83.8%)Imbalance
선박총톤수 is highly imbalanced (83.8%)Imbalance
선박척수 is highly imbalanced (83.8%)Imbalance
무대면적 is highly imbalanced (83.8%)Imbalance
좌석수 is highly imbalanced (83.8%)Imbalance
회의실별동시수용인원 is highly imbalanced (83.8%)Imbalance
놀이시설수 is highly imbalanced (83.8%)Imbalance
인허가취소일자 has 126 (100.0%) missing valuesMissing
폐업일자 has 78 (61.9%) missing valuesMissing
휴업시작일자 has 126 (100.0%) missing valuesMissing
휴업종료일자 has 126 (100.0%) missing valuesMissing
재개업일자 has 126 (100.0%) missing valuesMissing
전화번호 has 80 (63.5%) missing valuesMissing
소재지면적 has 126 (100.0%) missing valuesMissing
소재지우편번호 has 94 (74.6%) missing valuesMissing
도로명우편번호 has 16 (12.7%) missing valuesMissing
업태구분명 has 126 (100.0%) missing valuesMissing
지역구분명 has 121 (96.0%) missing valuesMissing
제작취급품목내용 has 126 (100.0%) missing valuesMissing
영문상호명 has 123 (97.6%) missing valuesMissing
영문상호주소 has 123 (97.6%) missing valuesMissing
선박제원 has 126 (100.0%) missing valuesMissing
기념품종류 has 126 (100.0%) missing valuesMissing
시설면적 has 101 (80.2%) missing valuesMissing
놀이기구수내역 has 126 (100.0%) missing valuesMissing
방송시설유무 has 126 (100.0%) missing valuesMissing
발전시설유무 has 126 (100.0%) missing valuesMissing
의무실유무 has 126 (100.0%) missing valuesMissing
안내소유무 has 126 (100.0%) missing valuesMissing
기획여행보험시작일자 has 126 (100.0%) missing valuesMissing
기획여행보험종료일자 has 126 (100.0%) missing valuesMissing
자본금 has 74 (58.7%) missing valuesMissing
보험시작일자 has 73 (57.9%) missing valuesMissing
보험종료일자 has 73 (57.9%) missing valuesMissing
부대시설내역 has 126 (100.0%) missing valuesMissing
시설규모 has 101 (80.2%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 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
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 4 (3.2%) zerosZeros
자본금 has 2 (1.6%) zerosZeros
시설규모 has 4 (3.2%) zerosZeros

Reproduction

Analysis started2024-05-11 06:50:09.242720
Analysis finished2024-05-11 06:50:11.277983
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3030000
126 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 126
100.0%

Length

2024-05-11T06:50:11.552918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:11.882957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 126
100.0%

관리번호
Text

UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T06:50:12.492163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2520
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

Unique126 ?
Unique (%)100.0%

Sample

1st rowCDFI2260021993000001
2nd rowCDFI2260021996000001
3rd rowCDFI2260021996000002
4th rowCDFI2260021997000002
5th rowCDFI2260021999000001
ValueCountFrequency (%)
cdfi2260021993000001 1
 
0.8%
cdfi2260022018000007 1
 
0.8%
cdfi2260022019000006 1
 
0.8%
cdfi2260022019000005 1
 
0.8%
cdfi2260022019000004 1
 
0.8%
cdfi2260022019000002 1
 
0.8%
cdfi2260022018000023 1
 
0.8%
cdfi2260022018000021 1
 
0.8%
cdfi2260022018000020 1
 
0.8%
cdfi2260022018000019 1
 
0.8%
Other values (116) 116
92.1%
2024-05-11T06:50:13.907575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1013
40.2%
2 563
22.3%
6 143
 
5.7%
1 137
 
5.4%
C 126
 
5.0%
D 126
 
5.0%
F 126
 
5.0%
I 126
 
5.0%
9 37
 
1.5%
3 31
 
1.2%
Other values (4) 92
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
80.0%
Uppercase Letter 504
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1013
50.2%
2 563
27.9%
6 143
 
7.1%
1 137
 
6.8%
9 37
 
1.8%
3 31
 
1.5%
5 25
 
1.2%
8 24
 
1.2%
4 23
 
1.1%
7 20
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 126
25.0%
D 126
25.0%
F 126
25.0%
I 126
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2016
80.0%
Latin 504
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1013
50.2%
2 563
27.9%
6 143
 
7.1%
1 137
 
6.8%
9 37
 
1.8%
3 31
 
1.5%
5 25
 
1.2%
8 24
 
1.2%
4 23
 
1.1%
7 20
 
1.0%
Latin
ValueCountFrequency (%)
C 126
25.0%
D 126
25.0%
F 126
25.0%
I 126
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1013
40.2%
2 563
22.3%
6 143
 
5.7%
1 137
 
5.4%
C 126
 
5.0%
D 126
 
5.0%
F 126
 
5.0%
I 126
 
5.0%
9 37
 
1.5%
3 31
 
1.2%
Other values (4) 92
 
3.7%
Distinct123
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1993-12-17 00:00:00
Maximum2023-12-04 00:00:00
2024-05-11T06:50:14.739440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:50:15.372391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB
Distinct4
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
69 
3
35 
5
13 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 69
54.8%
3 35
27.8%
5 13
 
10.3%
4 9
 
7.1%

Length

2024-05-11T06:50:15.816114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:16.143320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 69
54.8%
3 35
27.8%
5 13
 
10.3%
4 9
 
7.1%

영업상태명
Categorical

Distinct4
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
69 
폐업
35 
제외/삭제/전출
13 
취소/말소/만료/정지/중지

Length

Max length14
Median length5
Mean length5.1190476
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 69
54.8%
폐업 35
27.8%
제외/삭제/전출 13
 
10.3%
취소/말소/만료/정지/중지 9
 
7.1%

Length

2024-05-11T06:50:16.537451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:16.943484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 69
54.8%
폐업 35
27.8%
제외/삭제/전출 13
 
10.3%
취소/말소/만료/정지/중지 9
 
7.1%
Distinct4
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
13
69 
3
35 
15
13 
30

Length

Max length2
Median length2
Mean length1.7222222
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row13
3rd row13
4th row30
5th row3

Common Values

ValueCountFrequency (%)
13 69
54.8%
3 35
27.8%
15 13
 
10.3%
30 9
 
7.1%

Length

2024-05-11T06:50:17.387915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:17.868071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 69
54.8%
3 35
27.8%
15 13
 
10.3%
30 9
 
7.1%
Distinct4
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업중
69 
폐업
35 
전출
13 
허가취소

Length

Max length4
Median length3
Mean length2.6904762
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 69
54.8%
폐업 35
27.8%
전출 13
 
10.3%
허가취소 9
 
7.1%

Length

2024-05-11T06:50:18.524381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:18.926227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 69
54.8%
폐업 35
27.8%
전출 13
 
10.3%
허가취소 9
 
7.1%

폐업일자
Date

MISSING 

Distinct45
Distinct (%)93.8%
Missing78
Missing (%)61.9%
Memory size1.1 KiB
Minimum1996-05-23 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T06:50:19.329510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:50:19.816555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Text

MISSING 

Distinct45
Distinct (%)97.8%
Missing80
Missing (%)63.5%
Memory size1.1 KiB
2024-05-11T06:50:20.438955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.934783
Min length8

Characters and Unicode

Total characters503
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

Unique44 ?
Unique (%)95.7%

Sample

1st row2247-5791
2nd row2238-9999
3rd row464-8384
4th row2243-6455
5th row02-499-7100
ValueCountFrequency (%)
02-2281-3020 2
 
4.3%
02-515-8077 1
 
2.2%
070-8877-1474 1
 
2.2%
02-2127-1809 1
 
2.2%
02-798-4478 1
 
2.2%
070-5014-0709 1
 
2.2%
07047627100 1
 
2.2%
0264916491 1
 
2.2%
02-3147-0003 1
 
2.2%
0264449393 1
 
2.2%
Other values (35) 35
76.1%
2024-05-11T06:50:22.002892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 87
17.3%
0 75
14.9%
- 71
14.1%
4 43
8.5%
7 40
8.0%
3 39
7.8%
8 37
7.4%
1 36
7.2%
5 26
 
5.2%
9 26
 
5.2%
Other values (2) 23
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 431
85.7%
Dash Punctuation 71
 
14.1%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 87
20.2%
0 75
17.4%
4 43
10.0%
7 40
9.3%
3 39
9.0%
8 37
8.6%
1 36
8.4%
5 26
 
6.0%
9 26
 
6.0%
6 22
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 503
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 87
17.3%
0 75
14.9%
- 71
14.1%
4 43
8.5%
7 40
8.0%
3 39
7.8%
8 37
7.4%
1 36
7.2%
5 26
 
5.2%
9 26
 
5.2%
Other values (2) 23
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 503
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 87
17.3%
0 75
14.9%
- 71
14.1%
4 43
8.5%
7 40
8.0%
3 39
7.8%
8 37
7.4%
1 36
7.2%
5 26
 
5.2%
9 26
 
5.2%
Other values (2) 23
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

소재지우편번호
Text

MISSING 

Distinct26
Distinct (%)81.2%
Missing94
Missing (%)74.6%
Memory size1.1 KiB
2024-05-11T06:50:22.622395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0625
Min length6

Characters and Unicode

Total characters194
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 (%)62.5%

Sample

1st row133849
2nd row133809
3rd row133822
4th row133847
5th row133010
ValueCountFrequency (%)
133010 2
 
6.2%
133839 2
 
6.2%
133827 2
 
6.2%
133728 2
 
6.2%
133847 2
 
6.2%
133815 2
 
6.2%
133834 1
 
3.1%
133849 1
 
3.1%
133-828 1
 
3.1%
133866 1
 
3.1%
Other values (16) 16
50.0%
2024-05-11T06:50:23.873429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 68
35.1%
1 46
23.7%
8 26
 
13.4%
0 12
 
6.2%
2 10
 
5.2%
7 10
 
5.2%
4 9
 
4.6%
9 6
 
3.1%
5 3
 
1.5%
- 2
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 192
99.0%
Dash Punctuation 2
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 68
35.4%
1 46
24.0%
8 26
 
13.5%
0 12
 
6.2%
2 10
 
5.2%
7 10
 
5.2%
4 9
 
4.7%
9 6
 
3.1%
5 3
 
1.6%
6 2
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 194
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 68
35.1%
1 46
23.7%
8 26
 
13.4%
0 12
 
6.2%
2 10
 
5.2%
7 10
 
5.2%
4 9
 
4.6%
9 6
 
3.1%
5 3
 
1.5%
- 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 194
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 68
35.1%
1 46
23.7%
8 26
 
13.4%
0 12
 
6.2%
2 10
 
5.2%
7 10
 
5.2%
4 9
 
4.6%
9 6
 
3.1%
5 3
 
1.5%
- 2
 
1.0%
Distinct111
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T06:50:24.793729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35
Mean length26.5
Min length16

Characters and Unicode

Total characters3339
Distinct characters162
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)79.4%

Sample

1st row서울특별시 성동구 용답동 99-2번지
2nd row서울특별시 성동구 송정동 66-197 205호
3rd row서울특별시 성동구 행당동 147 서울숲삼부아파트
4th row서울특별시 성동구 금호동4가 1470번지
5th row서울특별시 성동구 성수동1가 14-17번지
ValueCountFrequency (%)
서울특별시 126
20.7%
성동구 125
20.5%
성수동2가 39
 
6.4%
성수동1가 21
 
3.4%
도선동 16
 
2.6%
용답동 12
 
2.0%
행당동 9
 
1.5%
효정빌딩 8
 
1.3%
289-21 6
 
1.0%
금호동1가 5
 
0.8%
Other values (188) 243
39.8%
2024-05-11T06:50:26.272845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
553
 
16.6%
254
 
7.6%
196
 
5.9%
1 145
 
4.3%
135
 
4.0%
134
 
4.0%
2 134
 
4.0%
127
 
3.8%
126
 
3.8%
126
 
3.8%
Other values (152) 1409
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1969
59.0%
Decimal Number 670
 
20.1%
Space Separator 553
 
16.6%
Dash Punctuation 94
 
2.8%
Uppercase Letter 26
 
0.8%
Lowercase Letter 21
 
0.6%
Other Punctuation 4
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
254
12.9%
196
 
10.0%
135
 
6.9%
134
 
6.8%
127
 
6.4%
126
 
6.4%
126
 
6.4%
126
 
6.4%
71
 
3.6%
70
 
3.6%
Other values (109) 604
30.7%
Uppercase Letter
ValueCountFrequency (%)
E 4
15.4%
T 4
15.4%
I 3
11.5%
C 2
7.7%
D 2
7.7%
K 2
7.7%
B 2
7.7%
L 1
 
3.8%
A 1
 
3.8%
P 1
 
3.8%
Other values (4) 4
15.4%
Lowercase Letter
ValueCountFrequency (%)
e 5
23.8%
t 2
 
9.5%
r 2
 
9.5%
b 2
 
9.5%
o 2
 
9.5%
y 1
 
4.8%
a 1
 
4.8%
m 1
 
4.8%
h 1
 
4.8%
p 1
 
4.8%
Other values (3) 3
14.3%
Decimal Number
ValueCountFrequency (%)
1 145
21.6%
2 134
20.0%
7 60
9.0%
6 59
8.8%
3 56
 
8.4%
8 52
 
7.8%
0 49
 
7.3%
5 47
 
7.0%
9 35
 
5.2%
4 33
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
553
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1969
59.0%
Common 1323
39.6%
Latin 47
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
254
12.9%
196
 
10.0%
135
 
6.9%
134
 
6.8%
127
 
6.4%
126
 
6.4%
126
 
6.4%
126
 
6.4%
71
 
3.6%
70
 
3.6%
Other values (109) 604
30.7%
Latin
ValueCountFrequency (%)
e 5
 
10.6%
E 4
 
8.5%
T 4
 
8.5%
I 3
 
6.4%
C 2
 
4.3%
D 2
 
4.3%
K 2
 
4.3%
t 2
 
4.3%
r 2
 
4.3%
b 2
 
4.3%
Other values (17) 19
40.4%
Common
ValueCountFrequency (%)
553
41.8%
1 145
 
11.0%
2 134
 
10.1%
- 94
 
7.1%
7 60
 
4.5%
6 59
 
4.5%
3 56
 
4.2%
8 52
 
3.9%
0 49
 
3.7%
5 47
 
3.6%
Other values (6) 74
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1969
59.0%
ASCII 1370
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
553
40.4%
1 145
 
10.6%
2 134
 
9.8%
- 94
 
6.9%
7 60
 
4.4%
6 59
 
4.3%
3 56
 
4.1%
8 52
 
3.8%
0 49
 
3.6%
5 47
 
3.4%
Other values (33) 121
 
8.8%
Hangul
ValueCountFrequency (%)
254
12.9%
196
 
10.0%
135
 
6.9%
134
 
6.8%
127
 
6.4%
126
 
6.4%
126
 
6.4%
126
 
6.4%
71
 
3.6%
70
 
3.6%
Other values (109) 604
30.7%
Distinct122
Distinct (%)97.6%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2024-05-11T06:50:27.189020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length45
Mean length36.568
Min length22

Characters and Unicode

Total characters4571
Distinct characters191
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)95.2%

Sample

1st row서울특별시 성동구 천호대로 282 (용답동)
2nd row서울특별시 성동구 광나루로 325, 205호 (송정동)
3rd row서울특별시 성동구 왕십리로 280, 삼부아파트상가 201동 3층 302호 (행당동, 서울숲삼부아파트)
4th row서울특별시 성동구 동호로 지하 104 (금호동4가)
5th row서울특별시 성동구 아차산로 41 (성수동1가)
ValueCountFrequency (%)
서울특별시 125
 
14.6%
성동구 124
 
14.5%
성수동2가 37
 
4.3%
성수동1가 19
 
2.2%
3층 16
 
1.9%
도선동 15
 
1.8%
왕십리로 14
 
1.6%
2층 13
 
1.5%
용답동 11
 
1.3%
성수이로 10
 
1.2%
Other values (297) 471
55.1%
2024-05-11T06:50:28.783826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
745
 
16.3%
267
 
5.8%
220
 
4.8%
1 204
 
4.5%
, 143
 
3.1%
2 142
 
3.1%
141
 
3.1%
139
 
3.0%
( 128
 
2.8%
128
 
2.8%
Other values (181) 2314
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2572
56.3%
Decimal Number 782
 
17.1%
Space Separator 745
 
16.3%
Other Punctuation 143
 
3.1%
Open Punctuation 128
 
2.8%
Close Punctuation 128
 
2.8%
Uppercase Letter 40
 
0.9%
Dash Punctuation 22
 
0.5%
Lowercase Letter 9
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
267
 
10.4%
220
 
8.6%
141
 
5.5%
139
 
5.4%
128
 
5.0%
127
 
4.9%
125
 
4.9%
125
 
4.9%
106
 
4.1%
102
 
4.0%
Other values (140) 1092
42.5%
Uppercase Letter
ValueCountFrequency (%)
B 7
17.5%
T 5
12.5%
E 4
10.0%
R 4
10.0%
A 3
7.5%
I 3
7.5%
K 3
7.5%
D 2
 
5.0%
M 1
 
2.5%
N 1
 
2.5%
Other values (7) 7
17.5%
Decimal Number
ValueCountFrequency (%)
1 204
26.1%
2 142
18.2%
3 90
11.5%
0 83
10.6%
6 58
 
7.4%
5 54
 
6.9%
4 48
 
6.1%
8 41
 
5.2%
7 34
 
4.3%
9 28
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
o 2
22.2%
m 1
11.1%
e 1
11.1%
t 1
11.1%
a 1
11.1%
h 1
11.1%
r 1
11.1%
p 1
11.1%
Space Separator
ValueCountFrequency (%)
745
100.0%
Other Punctuation
ValueCountFrequency (%)
, 143
100.0%
Open Punctuation
ValueCountFrequency (%)
( 128
100.0%
Close Punctuation
ValueCountFrequency (%)
) 128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2572
56.3%
Common 1950
42.7%
Latin 49
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
267
 
10.4%
220
 
8.6%
141
 
5.5%
139
 
5.4%
128
 
5.0%
127
 
4.9%
125
 
4.9%
125
 
4.9%
106
 
4.1%
102
 
4.0%
Other values (140) 1092
42.5%
Latin
ValueCountFrequency (%)
B 7
14.3%
T 5
 
10.2%
E 4
 
8.2%
R 4
 
8.2%
A 3
 
6.1%
I 3
 
6.1%
K 3
 
6.1%
o 2
 
4.1%
D 2
 
4.1%
m 1
 
2.0%
Other values (15) 15
30.6%
Common
ValueCountFrequency (%)
745
38.2%
1 204
 
10.5%
, 143
 
7.3%
2 142
 
7.3%
( 128
 
6.6%
) 128
 
6.6%
3 90
 
4.6%
0 83
 
4.3%
6 58
 
3.0%
5 54
 
2.8%
Other values (6) 175
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2572
56.3%
ASCII 1999
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
745
37.3%
1 204
 
10.2%
, 143
 
7.2%
2 142
 
7.1%
( 128
 
6.4%
) 128
 
6.4%
3 90
 
4.5%
0 83
 
4.2%
6 58
 
2.9%
5 54
 
2.7%
Other values (31) 224
 
11.2%
Hangul
ValueCountFrequency (%)
267
 
10.4%
220
 
8.6%
141
 
5.5%
139
 
5.4%
128
 
5.0%
127
 
4.9%
125
 
4.9%
125
 
4.9%
106
 
4.1%
102
 
4.0%
Other values (140) 1092
42.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)45.5%
Missing16
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean8275.3364
Minimum4700
Maximum133827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T06:50:29.345665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4700
5-th percentile4707
Q14723.25
median4779
Q34793.75
95-th percentile4808
Maximum133827
Range129127
Interquartile range (IQR)70.5

Descriptive statistics

Standard deviation21072.328
Coefficient of variation (CV)2.5464014
Kurtosis33.24137
Mean8275.3364
Median Absolute Deviation (MAD)20
Skewness5.8853076
Sum910287
Variance4.4404302 × 108
MonotonicityNot monotonic
2024-05-11T06:50:30.286870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4709 14
 
11.1%
4793 11
 
8.7%
4808 5
 
4.0%
4797 5
 
4.0%
4766 4
 
3.2%
4775 4
 
3.2%
4804 3
 
2.4%
4779 3
 
2.4%
4780 3
 
2.4%
4701 3
 
2.4%
Other values (40) 55
43.7%
(Missing) 16
 
12.7%
ValueCountFrequency (%)
4700 1
 
0.8%
4701 3
 
2.4%
4702 1
 
0.8%
4707 2
 
1.6%
4709 14
11.1%
4710 1
 
0.8%
4714 1
 
0.8%
4715 2
 
1.6%
4716 1
 
0.8%
4721 1
 
0.8%
ValueCountFrequency (%)
133827 1
 
0.8%
133728 1
 
0.8%
133091 1
 
0.8%
4808 5
4.0%
4804 3
2.4%
4803 2
 
1.6%
4802 1
 
0.8%
4801 1
 
0.8%
4799 2
 
1.6%
4797 5
4.0%

사업장명
Text

UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T06:50:31.042207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length14
Mean length8.015873
Min length2

Characters and Unicode

Total characters1010
Distinct characters235
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

Unique126 ?
Unique (%)100.0%

Sample

1st row(주)한국대성여행사
2nd row(주)하나월드투어
3rd row(주)럭키관광여행사
4th row(주)하얀항공
5th row워트라(주)
ValueCountFrequency (%)
주식회사 12
 
7.5%
투어 9
 
5.6%
여행사 3
 
1.9%
tour 2
 
1.2%
주)한국대성여행사 1
 
0.6%
리딩세상 1
 
0.6%
주)위히어 1
 
0.6%
클럽피앤씨(club 1
 
0.6%
p&c 1
 
0.6%
서울택시투어 1
 
0.6%
Other values (128) 128
80.0%
2024-05-11T06:50:32.120315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
 
7.9%
( 69
 
6.8%
) 69
 
6.8%
49
 
4.9%
46
 
4.6%
34
 
3.4%
32
 
3.2%
31
 
3.1%
23
 
2.3%
22
 
2.2%
Other values (225) 555
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 791
78.3%
Open Punctuation 69
 
6.8%
Close Punctuation 69
 
6.8%
Space Separator 34
 
3.4%
Lowercase Letter 26
 
2.6%
Uppercase Letter 18
 
1.8%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
80
 
10.1%
49
 
6.2%
46
 
5.8%
32
 
4.0%
31
 
3.9%
23
 
2.9%
22
 
2.8%
17
 
2.1%
17
 
2.1%
15
 
1.9%
Other values (193) 459
58.0%
Lowercase Letter
ValueCountFrequency (%)
r 4
15.4%
a 4
15.4%
n 3
11.5%
s 2
7.7%
u 2
7.7%
m 2
7.7%
o 2
7.7%
g 1
 
3.8%
i 1
 
3.8%
c 1
 
3.8%
Other values (4) 4
15.4%
Uppercase Letter
ValueCountFrequency (%)
J 3
16.7%
C 2
11.1%
T 2
11.1%
P 2
11.1%
N 1
 
5.6%
I 1
 
5.6%
F 1
 
5.6%
R 1
 
5.6%
U 1
 
5.6%
O 1
 
5.6%
Other values (3) 3
16.7%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
. 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 791
78.3%
Common 175
 
17.3%
Latin 44
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
80
 
10.1%
49
 
6.2%
46
 
5.8%
32
 
4.0%
31
 
3.9%
23
 
2.9%
22
 
2.8%
17
 
2.1%
17
 
2.1%
15
 
1.9%
Other values (193) 459
58.0%
Latin
ValueCountFrequency (%)
r 4
 
9.1%
a 4
 
9.1%
n 3
 
6.8%
J 3
 
6.8%
s 2
 
4.5%
u 2
 
4.5%
C 2
 
4.5%
m 2
 
4.5%
T 2
 
4.5%
P 2
 
4.5%
Other values (17) 18
40.9%
Common
ValueCountFrequency (%)
( 69
39.4%
) 69
39.4%
34
19.4%
& 2
 
1.1%
. 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 791
78.3%
ASCII 219
 
21.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
80
 
10.1%
49
 
6.2%
46
 
5.8%
32
 
4.0%
31
 
3.9%
23
 
2.9%
22
 
2.8%
17
 
2.1%
17
 
2.1%
15
 
1.9%
Other values (193) 459
58.0%
ASCII
ValueCountFrequency (%)
( 69
31.5%
) 69
31.5%
34
15.5%
r 4
 
1.8%
a 4
 
1.8%
n 3
 
1.4%
J 3
 
1.4%
s 2
 
0.9%
u 2
 
0.9%
C 2
 
0.9%
Other values (22) 27
 
12.3%

최종수정일자
Date

UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2005-04-29 17:36:16
Maximum2024-05-08 09:07:17
2024-05-11T06:50:32.516733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:50:32.993103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
U
72 
I
54 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 72
57.1%
I 54
42.9%

Length

2024-05-11T06:50:33.459184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:33.719801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 72
57.1%
i 54
42.9%
Distinct66
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:01:00
2024-05-11T06:50:34.116634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:50:34.615443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

Distinct96
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203893.68
Minimum200951.21
Maximum208016.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T06:50:35.157286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200951.21
5-th percentile201674.35
Q1203014.13
median204213.93
Q3204743.68
95-th percentile205502.68
Maximum208016.15
Range7064.9443
Interquartile range (IQR)1729.5515

Descriptive statistics

Standard deviation1256.3665
Coefficient of variation (CV)0.0061618704
Kurtosis0.1104657
Mean203893.68
Median Absolute Deviation (MAD)825.97586
Skewness-0.29424231
Sum25690604
Variance1578456.7
MonotonicityNot monotonic
2024-05-11T06:50:35.727551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204743.677915464 8
 
6.3%
205039.907145725 6
 
4.8%
202932.381982673 3
 
2.4%
203089.863865288 3
 
2.4%
203053.350637549 3
 
2.4%
202988.299644972 2
 
1.6%
204508.571501596 2
 
1.6%
203014.126371125 2
 
1.6%
203321.562330114 2
 
1.6%
204966.098616157 2
 
1.6%
Other values (86) 93
73.8%
ValueCountFrequency (%)
200951.206580662 1
0.8%
200967.537033206 1
0.8%
201084.709621627 1
0.8%
201232.739255962 1
0.8%
201404.532636 1
0.8%
201432.720752422 1
0.8%
201662.343567847 1
0.8%
201710.365243938 1
0.8%
201716.721133871 1
0.8%
201740.802079629 2
1.6%
ValueCountFrequency (%)
208016.15084687 1
0.8%
205837.640591417 1
0.8%
205784.868811814 1
0.8%
205755.106428192 1
0.8%
205569.318249318 1
0.8%
205527.887051222 1
0.8%
205525.616970821 1
0.8%
205433.862757476 1
0.8%
205431.52231906 1
0.8%
205371.006051032 1
0.8%

좌표정보(Y)
Real number (ℝ)

Distinct96
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450063.65
Minimum448179.87
Maximum452078.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T06:50:36.405644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448179.87
5-th percentile448630.93
Q1449283.43
median449594.26
Q3451106.86
95-th percentile451667.71
Maximum452078.47
Range3898.6005
Interquartile range (IQR)1823.4294

Descriptive statistics

Standard deviation1047.828
Coefficient of variation (CV)0.0023281773
Kurtosis-1.3676453
Mean450063.65
Median Absolute Deviation (MAD)793.90003
Skewness0.20067212
Sum56708020
Variance1097943.5
MonotonicityNot monotonic
2024-05-11T06:50:37.018304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449357.9464135 8
 
6.3%
449216.223655036 6
 
4.8%
451169.524277434 3
 
2.4%
451271.366165685 3
 
2.4%
451286.714895706 3
 
2.4%
450991.695797571 2
 
1.6%
451324.856978708 2
 
1.6%
451106.855353223 2
 
1.6%
451001.868687869 2
 
1.6%
449159.452779834 2
 
1.6%
Other values (86) 93
73.8%
ValueCountFrequency (%)
448179.869576203 1
0.8%
448307.187913505 1
0.8%
448361.678964372 1
0.8%
448430.454468284 1
0.8%
448467.32451462 1
0.8%
448496.386922964 1
0.8%
448607.441251647 1
0.8%
448701.40145153 1
0.8%
448709.190492902 1
0.8%
448714.038805333 1
0.8%
ValueCountFrequency (%)
452078.470105803 1
0.8%
451906.0 1
0.8%
451897.581865192 1
0.8%
451713.632910466 1
0.8%
451692.853427464 2
1.6%
451687.890552805 1
0.8%
451607.18811355 1
0.8%
451577.054359985 1
0.8%
451536.680876573 2
1.6%
451504.373111042 1
0.8%
Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
국내외여행업
78 
<NA>
48 

Length

Max length6
Median length6
Mean length5.2380952
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 78
61.9%
<NA> 48
38.1%

Length

2024-05-11T06:50:37.629042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:38.071265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 78
61.9%
na 48
38.1%
Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
96 
관광사업
30 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 96
76.2%
관광사업 30
 
23.8%

Length

2024-05-11T06:50:38.430760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:38.827887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
76.2%
관광사업 30
 
23.8%

지역구분명
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing121
Missing (%)96.0%
Memory size1.1 KiB
2024-05-11T06:50:39.130701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.4
Min length4

Characters and Unicode

Total characters27
Distinct characters12
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

Unique3 ?
Unique (%)60.0%

Sample

1st row근린상업지역
2nd row준공업지역
3rd row일반상업지역
4th row주거지역
5th row근린상업지역
ValueCountFrequency (%)
근린상업지역 2
40.0%
준공업지역 1
20.0%
일반상업지역 1
20.0%
주거지역 1
20.0%
2024-05-11T06:50:40.173375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
18.5%
5
18.5%
4
14.8%
3
11.1%
2
 
7.4%
2
 
7.4%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Other values (2) 2
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5
18.5%
5
18.5%
4
14.8%
3
11.1%
2
 
7.4%
2
 
7.4%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Other values (2) 2
 
7.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5
18.5%
5
18.5%
4
14.8%
3
11.1%
2
 
7.4%
2
 
7.4%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Other values (2) 2
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5
18.5%
5
18.5%
4
14.8%
3
11.1%
2
 
7.4%
2
 
7.4%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Other values (2) 2
 
7.4%

총층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
118 
0
 
4
3
 
1
2
 
1
20
 
1

Length

Max length4
Median length4
Mean length3.8174603
Min length1

Unique

Unique4 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 118
93.7%
0 4
 
3.2%
3 1
 
0.8%
2 1
 
0.8%
20 1
 
0.8%
6 1
 
0.8%

Length

2024-05-11T06:50:40.770886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:41.260678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 118
93.7%
0 4
 
3.2%
3 1
 
0.8%
2 1
 
0.8%
20 1
 
0.8%
6 1
 
0.8%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
122 
기타
 
4

Length

Max length4
Median length4
Mean length3.9365079
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 122
96.8%
기타 4
 
3.2%

Length

2024-05-11T06:50:41.803429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:42.426950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
96.8%
기타 4
 
3.2%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

보험기관명
Categorical

Distinct20
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
75 
서울보증보험주식회사(3천만원)
서울보증보험주식회사
서울보증보험
 
7
서울보증보험(3천만원)
 
6
Other values (15)
20 

Length

Max length18
Median length4
Mean length6.984127
Min length4

Unique

Unique12 ?
Unique (%)9.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 75
59.5%
서울보증보험주식회사(3천만원) 9
 
7.1%
서울보증보험주식회사 9
 
7.1%
서울보증보험 7
 
5.6%
서울보증보험(3천만원) 6
 
4.8%
한국관광협회중앙회 3
 
2.4%
한국관광협회중앙회 여행공제회 3
 
2.4%
여행공제회(3천만원) 2
 
1.6%
서울보증보헙주식회사 1
 
0.8%
서울시관광협회 1
 
0.8%
Other values (10) 10
 
7.9%

Length

2024-05-11T06:50:42.810862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 75
57.3%
서울보증보험주식회사 9
 
6.9%
서울보증보험주식회사(3천만원 9
 
6.9%
서울보증보험 8
 
6.1%
서울보증보험(3천만원 6
 
4.6%
한국관광협회중앙회 6
 
4.6%
여행공제회 5
 
3.8%
여행공제회(3천만원 2
 
1.5%
주식회사 1
 
0.8%
서울보증보험(3천만 1
 
0.8%
Other values (9) 9
 
6.9%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
114 
근린생활시설
 
8
사무실
 
2
유통시설
 
1
다가구용 주택(공동주택적용)
 
1

Length

Max length15
Median length4
Mean length4.1984127
Min length3

Unique

Unique2 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 114
90.5%
근린생활시설 8
 
6.3%
사무실 2
 
1.6%
유통시설 1
 
0.8%
다가구용 주택(공동주택적용) 1
 
0.8%

Length

2024-05-11T06:50:43.454005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:43.806963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
89.8%
근린생활시설 8
 
6.3%
사무실 2
 
1.6%
유통시설 1
 
0.8%
다가구용 1
 
0.8%
주택(공동주택적용 1
 
0.8%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
116 
0
 
4
3
 
3
2
 
1
14
 
1

Length

Max length4
Median length4
Mean length3.7698413
Min length1

Unique

Unique3 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 116
92.1%
0 4
 
3.2%
3 3
 
2.4%
2 1
 
0.8%
14 1
 
0.8%
5 1
 
0.8%

Length

2024-05-11T06:50:44.622686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:45.185885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 116
92.1%
0 4
 
3.2%
3 3
 
2.4%
2 1
 
0.8%
14 1
 
0.8%
5 1
 
0.8%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
120 
0
 
4
6
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length1

Unique

Unique2 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 120
95.2%
0 4
 
3.2%
6 1
 
0.8%
1 1
 
0.8%

Length

2024-05-11T06:50:45.678568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:46.110643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 120
95.2%
0 4
 
3.2%
6 1
 
0.8%
1 1
 
0.8%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
123 
0
 
3

Length

Max length4
Median length4
Mean length3.9285714
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> 123
97.6%
0 3
 
2.4%

Length

2024-05-11T06:50:46.477854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:46.781582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 123
97.6%
0 3
 
2.4%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
123 
0
 
3

Length

Max length4
Median length4
Mean length3.9285714
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> 123
97.6%
0 3
 
2.4%

Length

2024-05-11T06:50:47.077679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:47.301081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 123
97.6%
0 3
 
2.4%

영문상호명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing123
Missing (%)97.6%
Memory size1.1 KiB
2024-05-11T06:50:47.535311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length14.666667
Min length8

Characters and Unicode

Total characters44
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowGanda Tour Co.,Ltd.
2nd rowBarogogo Co.,Ltd.
3rd rowGOPLANIT
ValueCountFrequency (%)
co.,ltd 2
33.3%
ganda 1
16.7%
tour 1
16.7%
barogogo 1
16.7%
goplanit 1
16.7%
2024-05-11T06:50:48.371966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 6
13.6%
. 4
 
9.1%
a 3
 
6.8%
d 3
 
6.8%
3
 
6.8%
L 3
 
6.8%
g 2
 
4.5%
t 2
 
4.5%
, 2
 
4.5%
G 2
 
4.5%
Other values (11) 14
31.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 20
45.5%
Uppercase Letter 15
34.1%
Other Punctuation 6
 
13.6%
Space Separator 3
 
6.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
L 3
20.0%
G 2
13.3%
C 2
13.3%
T 2
13.3%
B 1
 
6.7%
O 1
 
6.7%
P 1
 
6.7%
A 1
 
6.7%
N 1
 
6.7%
I 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
o 6
30.0%
a 3
15.0%
d 3
15.0%
g 2
 
10.0%
t 2
 
10.0%
r 2
 
10.0%
u 1
 
5.0%
n 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
, 2
33.3%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 35
79.5%
Common 9
 
20.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 6
17.1%
a 3
 
8.6%
d 3
 
8.6%
L 3
 
8.6%
g 2
 
5.7%
t 2
 
5.7%
G 2
 
5.7%
C 2
 
5.7%
r 2
 
5.7%
T 2
 
5.7%
Other values (8) 8
22.9%
Common
ValueCountFrequency (%)
. 4
44.4%
3
33.3%
, 2
22.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 6
13.6%
. 4
 
9.1%
a 3
 
6.8%
d 3
 
6.8%
3
 
6.8%
L 3
 
6.8%
g 2
 
4.5%
t 2
 
4.5%
, 2
 
4.5%
G 2
 
4.5%
Other values (11) 14
31.8%

영문상호주소
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing123
Missing (%)97.6%
Memory size1.1 KiB
2024-05-11T06:50:48.863300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length23.666667
Min length23

Characters and Unicode

Total characters71
Distinct characters13
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 (%)33.3%

Sample

1st rowOVERSEAS TRAVEL BUSINESS
2nd rowOVERSEA TRAVEL BUSINESS
3rd rowOVERSEAS TRAVEL BUSINESS
ValueCountFrequency (%)
travel 3
33.3%
business 3
33.3%
overseas 2
22.2%
oversea 1
 
11.1%
2024-05-11T06:50:49.677413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
S 14
19.7%
E 12
16.9%
V 6
8.5%
R 6
8.5%
A 6
8.5%
6
8.5%
O 3
 
4.2%
T 3
 
4.2%
L 3
 
4.2%
B 3
 
4.2%
Other values (3) 9
12.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 65
91.5%
Space Separator 6
 
8.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 14
21.5%
E 12
18.5%
V 6
9.2%
R 6
9.2%
A 6
9.2%
O 3
 
4.6%
T 3
 
4.6%
L 3
 
4.6%
B 3
 
4.6%
U 3
 
4.6%
Other values (2) 6
9.2%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 65
91.5%
Common 6
 
8.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 14
21.5%
E 12
18.5%
V 6
9.2%
R 6
9.2%
A 6
9.2%
O 3
 
4.6%
T 3
 
4.6%
L 3
 
4.6%
B 3
 
4.6%
U 3
 
4.6%
Other values (2) 6
9.2%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S 14
19.7%
E 12
16.9%
V 6
8.5%
R 6
8.5%
A 6
8.5%
6
8.5%
O 3
 
4.2%
T 3
 
4.2%
L 3
 
4.2%
B 3
 
4.2%
Other values (3) 9
12.7%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
123 
0
 
3

Length

Max length4
Median length4
Mean length3.9285714
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> 123
97.6%
0 3
 
2.4%

Length

2024-05-11T06:50:50.412502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:50.966124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 123
97.6%
0 3
 
2.4%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
123 
0
 
3

Length

Max length4
Median length4
Mean length3.9285714
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> 123
97.6%
0 3
 
2.4%

Length

2024-05-11T06:50:51.579742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:52.088604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 123
97.6%
0 3
 
2.4%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
123 
0
 
3

Length

Max length4
Median length4
Mean length3.9285714
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> 123
97.6%
0 3
 
2.4%

Length

2024-05-11T06:50:52.454551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:52.903295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 123
97.6%
0 3
 
2.4%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
123 
0
 
3

Length

Max length4
Median length4
Mean length3.9285714
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> 123
97.6%
0 3
 
2.4%

Length

2024-05-11T06:50:53.475914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:54.000954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 123
97.6%
0 3
 
2.4%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
123 
0
 
3

Length

Max length4
Median length4
Mean length3.9285714
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> 123
97.6%
0 3
 
2.4%

Length

2024-05-11T06:50:54.507066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:54.929645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 123
97.6%
0 3
 
2.4%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)88.0%
Missing101
Missing (%)80.2%
Infinite0
Infinite (%)0.0%
Mean47.5968
Minimum0
Maximum280.5
Zeros4
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T06:50:55.295220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117.7
median28.23
Q367.4
95-th percentile100.99
Maximum280.5
Range280.5
Interquartile range (IQR)49.7

Descriptive statistics

Standard deviation57.957642
Coefficient of variation (CV)1.2176794
Kurtosis10.768223
Mean47.5968
Median Absolute Deviation (MAD)24.77
Skewness2.8557504
Sum1189.92
Variance3359.0882
MonotonicityNot monotonic
2024-05-11T06:50:55.958294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 4
 
3.2%
79.27 1
 
0.8%
17.87 1
 
0.8%
24.75 1
 
0.8%
78.9 1
 
0.8%
3.63 1
 
0.8%
20.0 1
 
0.8%
6.0 1
 
0.8%
50.0 1
 
0.8%
20.68 1
 
0.8%
Other values (12) 12
 
9.5%
(Missing) 101
80.2%
ValueCountFrequency (%)
0.0 4
3.2%
3.63 1
 
0.8%
6.0 1
 
0.8%
17.7 1
 
0.8%
17.87 1
 
0.8%
20.0 1
 
0.8%
20.68 1
 
0.8%
21.78 1
 
0.8%
24.75 1
 
0.8%
28.23 1
 
0.8%
ValueCountFrequency (%)
280.5 1
0.8%
102.48 1
0.8%
95.03 1
0.8%
79.27 1
0.8%
78.9 1
0.8%
71.96 1
0.8%
67.4 1
0.8%
66.12 1
0.8%
53.0 1
0.8%
51.17 1
0.8%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
123 
0
 
3

Length

Max length4
Median length4
Mean length3.9285714
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> 123
97.6%
0 3
 
2.4%

Length

2024-05-11T06:50:56.486943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:50:56.945729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 123
97.6%
0 3
 
2.4%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)46.2%
Missing74
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean1.2098589 × 108
Minimum0
Maximum1.9289114 × 109
Zeros2
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T06:50:57.331329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30000000
Q143602652
median75000000
Q31 × 108
95-th percentile2.1902289 × 108
Maximum1.9289114 × 109
Range1.9289114 × 109
Interquartile range (IQR)56397348

Descriptive statistics

Standard deviation2.6480648 × 108
Coefficient of variation (CV)2.1887386
Kurtosis44.798414
Mean1.2098589 × 108
Median Absolute Deviation (MAD)25000000
Skewness6.5146247
Sum6.2912663 × 109
Variance7.0122474 × 1016
MonotonicityNot monotonic
2024-05-11T06:50:57.803581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
100000000 14
 
11.1%
30000000 9
 
7.1%
60000000 7
 
5.6%
0 2
 
1.6%
122000000 1
 
0.8%
103603004 1
 
0.8%
210041618 1
 
0.8%
36506237 1
 
0.8%
45053414 1
 
0.8%
39250365 1
 
0.8%
Other values (14) 14
 
11.1%
(Missing) 74
58.7%
ValueCountFrequency (%)
0 2
 
1.6%
30000000 9
7.1%
36506237 1
 
0.8%
39250365 1
 
0.8%
45053414 1
 
0.8%
47206236 1
 
0.8%
50000000 1
 
0.8%
60000000 7
5.6%
65000000 1
 
0.8%
67900000 1
 
0.8%
ValueCountFrequency (%)
1928911428 1
0.8%
450000000 1
0.8%
230000000 1
0.8%
210041618 1
0.8%
160000000 1
0.8%
150000000 1
0.8%
130000000 1
0.8%
122000000 1
0.8%
118283957 1
0.8%
103603004 1
0.8%

보험시작일자
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)100.0%
Missing73
Missing (%)57.9%
Infinite0
Infinite (%)0.0%
Mean20160503
Minimum20070401
Maximum20210613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T06:50:58.317741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070401
5-th percentile20080883
Q120150306
median20170118
Q320190402
95-th percentile20204538
Maximum20210613
Range140212
Interquartile range (IQR)40096

Descriptive statistics

Standard deviation37133.522
Coefficient of variation (CV)0.0018418946
Kurtosis0.26218495
Mean20160503
Median Absolute Deviation (MAD)20284
Skewness-1.0128814
Sum1.0685067 × 109
Variance1.3788985 × 109
MonotonicityNot monotonic
2024-05-11T06:50:58.879502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150726 1
 
0.8%
20170118 1
 
0.8%
20170108 1
 
0.8%
20161006 1
 
0.8%
20171011 1
 
0.8%
20190115 1
 
0.8%
20190401 1
 
0.8%
20150401 1
 
0.8%
20190911 1
 
0.8%
20190620 1
 
0.8%
Other values (43) 43
34.1%
(Missing) 73
57.9%
ValueCountFrequency (%)
20070401 1
0.8%
20080611 1
0.8%
20080828 1
0.8%
20080919 1
0.8%
20080922 1
0.8%
20090923 1
0.8%
20100405 1
0.8%
20120526 1
0.8%
20130621 1
0.8%
20130831 1
0.8%
ValueCountFrequency (%)
20210613 1
0.8%
20210331 1
0.8%
20210119 1
0.8%
20200818 1
0.8%
20200108 1
0.8%
20191119 1
0.8%
20191001 1
0.8%
20190911 1
0.8%
20190823 1
0.8%
20190808 1
0.8%

보험종료일자
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)100.0%
Missing73
Missing (%)57.9%
Infinite0
Infinite (%)0.0%
Mean20172006
Minimum20080331
Maximum20220612
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T06:50:59.352705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080331
5-th percentile20090882
Q120160306
median20180710
Q320200516
95-th percentile20214537
Maximum20220612
Range140281
Interquartile range (IQR)40210

Descriptive statistics

Standard deviation37424.117
Coefficient of variation (CV)0.0018552501
Kurtosis0.34977121
Mean20172006
Median Absolute Deviation (MAD)19916
Skewness-1.1005747
Sum1.0691163 × 109
Variance1.4005646 × 109
MonotonicityNot monotonic
2024-05-11T06:50:59.981626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200725 1
 
0.8%
20180117 1
 
0.8%
20180107 1
 
0.8%
20171005 1
 
0.8%
20181010 1
 
0.8%
20200115 1
 
0.8%
20200331 1
 
0.8%
20180331 1
 
0.8%
20200911 1
 
0.8%
20200619 1
 
0.8%
Other values (43) 43
34.1%
(Missing) 73
57.9%
ValueCountFrequency (%)
20080331 1
0.8%
20090611 1
0.8%
20090827 1
0.8%
20090919 1
0.8%
20090921 1
0.8%
20100923 1
0.8%
20110405 1
0.8%
20130525 1
0.8%
20140621 1
0.8%
20140801 1
0.8%
ValueCountFrequency (%)
20220612 1
0.8%
20220330 1
0.8%
20220118 1
0.8%
20210817 1
0.8%
20210107 1
0.8%
20201119 1
0.8%
20200930 1
0.8%
20200911 1
0.8%
20200822 1
0.8%
20200807 1
0.8%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)80.0%
Missing101
Missing (%)80.2%
Infinite0
Infinite (%)0.0%
Mean47.6
Minimum0
Maximum281
Zeros4
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T06:51:00.381778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118
median28
Q367
95-th percentile100.6
Maximum281
Range281
Interquartile range (IQR)49

Descriptive statistics

Standard deviation57.983475
Coefficient of variation (CV)1.2181402
Kurtosis10.859551
Mean47.6
Median Absolute Deviation (MAD)25
Skewness2.8703981
Sum1190
Variance3362.0833
MonotonicityNot monotonic
2024-05-11T06:51:00.754834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 4
 
3.2%
79 2
 
1.6%
18 2
 
1.6%
25 1
 
0.8%
4 1
 
0.8%
20 1
 
0.8%
6 1
 
0.8%
50 1
 
0.8%
21 1
 
0.8%
33 1
 
0.8%
Other values (10) 10
 
7.9%
(Missing) 101
80.2%
ValueCountFrequency (%)
0 4
3.2%
4 1
 
0.8%
6 1
 
0.8%
18 2
1.6%
20 1
 
0.8%
21 1
 
0.8%
22 1
 
0.8%
25 1
 
0.8%
28 1
 
0.8%
33 1
 
0.8%
ValueCountFrequency (%)
281 1
0.8%
102 1
0.8%
95 1
0.8%
79 2
1.6%
72 1
0.8%
67 1
0.8%
66 1
0.8%
53 1
0.8%
51 1
0.8%
50 1
0.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03030000CDFI226002199300000119931217<NA>3폐업3폐업19960523<NA><NA><NA>2247-5791<NA>133849서울특별시 성동구 용답동 99-2번지서울특별시 성동구 천호대로 282 (용답동)<NA>(주)한국대성여행사2005-04-29 17:36:16I2018-08-31 23:59:59.0<NA>204541.903089451607.188114국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13030000CDFI22600219960000011996-08-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 송정동 66-197 205호서울특별시 성동구 광나루로 325, 205호 (송정동)4801(주)하나월드투어2023-04-17 14:14:12U2022-12-03 23:09:00.0<NA>205755.106428449576.253567<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23030000CDFI22600219960000021996-10-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 행당동 147 서울숲삼부아파트서울특별시 성동구 왕십리로 280, 삼부아파트상가 201동 3층 302호 (행당동, 서울숲삼부아파트)4751(주)럭키관광여행사2023-08-23 17:58:28U2022-12-07 22:05:00.0<NA>203239.114934450858.66678<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33030000CDFI226002199700000219970327<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>2238-9999<NA>133809서울특별시 성동구 금호동4가 1470번지서울특별시 성동구 동호로 지하 104 (금호동4가)<NA>(주)하얀항공2007-02-07 18:27:59I2018-08-31 23:59:59.0<NA>201404.532636449844.119898국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><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>
43030000CDFI226002199900000119990819<NA>3폐업3폐업20070911<NA><NA><NA>464-8384<NA>133822서울특별시 성동구 성수동1가 14-17번지서울특별시 성동구 아차산로 41 (성수동1가)<NA>워트라(주)2007-09-12 09:20:35I2018-08-31 23:59:59.0<NA>204257.584861449412.544119국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53030000CDFI226002199900000219991007<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>2243-6455<NA>133847서울특별시 성동구 용답동 227-12번지 연합빌딩2층서울특별시 성동구 자동차시장1길 28 (용답동,연합빌딩2층)<NA>(주)안심코리아2007-02-07 18:28:39I2018-08-31 23:59:59.0<NA>205284.290382450979.21351국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63030000CDFI22600220000000012000-02-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-499-7100<NA><NA>서울특별시 성동구 성수동2가 834서울특별시 성동구 성수이로 137, 203호 (성수동2가, 성수동아이파크)4795(주)다모아여행사2023-09-27 11:11:14U2022-12-08 22:09:00.0<NA>204933.085787449461.978829<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73030000CDFI226002200100000220010604<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA><NA><NA>133010서울특별시 성동구 상왕십리동 14-19번지서울특별시 성동구 청계천로 426 (상왕십리동)<NA>(주)필렉스2007-02-07 18:33:24I2018-08-31 23:59:59.0<NA>202087.14993452078.470106국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83030000CDFI226002200200000120020309<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA><NA><NA>133844서울특별시 성동구 옥수동 428번지 극동아파트B상가107호서울특별시 성동구 독서당로 177 (옥수동,극동아파트B상가107호)<NA>(주)모노여행기업2007-02-07 18:33:37I2018-08-31 23:59:59.0<NA>200951.206581449000.920062국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93030000CDFI226002200200000220020312<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA><NA><NA>133815서울특별시 성동구 마장동 767-36번지서울특별시 성동구 마장로 323 (마장동)<NA>(주)사랑방여행사2006-10-11 14:21:27I2018-08-31 23:59:59.0<NA>203893.517821451713.63291국내외여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
1163030000CDFI226002202200000320031121<NA>3폐업3폐업20221213<NA><NA><NA><NA><NA><NA>서울특별시 성동구 도선동 40서울특별시 성동구 무학로2길 50, 3층 3090호 (도선동)4709트래블앤조이2022-12-13 14:30:18U2021-11-01 23:05:00.0<NA>203014.126371451106.855353<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1173030000CDFI22600220220000052022-07-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-777-3248<NA><NA>서울특별시 성동구 성수동2가 289-20 신한은행서울특별시 성동구 아차산로7길 21, 신한은행 4층 107호 (성수동2가)4793JK TOUR2023-12-13 10:02:55U2022-11-01 23:05:00.0<NA>204764.65808449437.628335<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1183030000CDFI22600220220000062022-08-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 289-21 효정빌딩서울특별시 성동구 아차산로7길 15-1, 효정빌딩 3층 3800호 (성수동2가)4793고헤드컴퍼니2023-08-23 09:34:14U2022-12-07 22:05:00.0<NA>204743.677915449357.946414<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1193030000CDFI22600220220000072011-10-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 289-21 효정빌딩서울특별시 성동구 아차산로7길 15-1, 효정빌딩 3층 342호 (성수동2가)4793주식회사 동광투어2023-03-07 17:40:16U2022-12-03 00:09:00.0<NA>204743.677915449357.946414<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1203030000CDFI22600220230000012023-02-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 도선동 70 창성빌딩서울특별시 성동구 왕십리로24나길 20, 창성빌딩 2층 214호 (도선동)4709여행루트2023-03-08 13:13:37U2022-12-02 23:00:00.0<NA>203053.350638451286.714896<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1213030000CDFI22600220230000022023-03-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 도선동 40서울특별시 성동구 무학로2길 50, 3층 3010호 (도선동)4709더마크 투어2023-03-10 17:49:02I2022-12-02 23:02:00.0<NA>203014.126371451106.855353<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1223030000CDFI22600220230000032023-07-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 용답동 51-5서울특별시 성동구 용답19길 3-1, 3층 A-23호 (용답동)4804화도 여행사2023-07-12 15:15:49U2022-12-06 23:04:00.0<NA>204481.098687451174.365026<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1233030000CDFI22600220230000042023-08-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 271-5서울특별시 성동구 연무장13길 8, 8층 804호 (성수동2가)4783주식회사 포페런츠 (For Parents Inc.)2024-02-05 10:00:14U2023-12-02 00:07:00.0<NA>205091.929422448880.714306<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1243030000CDFI22600220230000052021-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 용답동 55-6서울특별시 성동구 용답15길 12-1, 5층 (용답동)4804(주)세계속으로2023-10-26 17:46:52I2022-10-30 22:08:00.0<NA>204508.571502451324.856979<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1253030000CDFI22600220240000012023-12-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동1가 656-292 KD타워서울특별시 성동구 왕십리로 125, KD타워 3층 (성수동1가)4766도희원랩앤솔루션2024-02-13 13:49:52I2023-12-01 23:05:00.0<NA>203808.75878449612.381771<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>