Overview

Dataset statistics

Number of variables60
Number of observations53
Missing cells1236
Missing cells (%)38.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.0 KiB
Average record size in memory521.5 B

Variable types

Categorical23
Text9
DateTime4
Unsupported16
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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-17563/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (86.5%)Imbalance
총층수 is highly imbalanced (75.0%)Imbalance
주변환경명 is highly imbalanced (67.3%)Imbalance
건물용도명 is highly imbalanced (61.4%)Imbalance
지상층수 is highly imbalanced (71.0%)Imbalance
지하층수 is highly imbalanced (75.0%)Imbalance
객실수 is highly imbalanced (76.8%)Imbalance
건축연면적 is highly imbalanced (76.8%)Imbalance
선박총톤수 is highly imbalanced (76.8%)Imbalance
선박척수 is highly imbalanced (76.8%)Imbalance
무대면적 is highly imbalanced (76.8%)Imbalance
좌석수 is highly imbalanced (76.8%)Imbalance
회의실별동시수용인원 is highly imbalanced (76.8%)Imbalance
놀이시설수 is highly imbalanced (76.8%)Imbalance
폐업일자 has 17 (32.1%) missing valuesMissing
휴업시작일자 has 53 (100.0%) missing valuesMissing
휴업종료일자 has 53 (100.0%) missing valuesMissing
재개업일자 has 53 (100.0%) missing valuesMissing
전화번호 has 16 (30.2%) missing valuesMissing
소재지면적 has 53 (100.0%) missing valuesMissing
소재지우편번호 has 26 (49.1%) missing valuesMissing
도로명우편번호 has 19 (35.8%) missing valuesMissing
업태구분명 has 53 (100.0%) missing valuesMissing
지역구분명 has 49 (92.5%) missing valuesMissing
제작취급품목내용 has 53 (100.0%) missing valuesMissing
영문상호명 has 50 (94.3%) missing valuesMissing
영문상호주소 has 50 (94.3%) missing valuesMissing
선박제원 has 53 (100.0%) missing valuesMissing
기념품종류 has 53 (100.0%) missing valuesMissing
시설면적 has 40 (75.5%) missing valuesMissing
놀이기구수내역 has 53 (100.0%) missing valuesMissing
방송시설유무 has 53 (100.0%) missing valuesMissing
발전시설유무 has 53 (100.0%) missing valuesMissing
의무실유무 has 53 (100.0%) missing valuesMissing
안내소유무 has 53 (100.0%) missing valuesMissing
기획여행보험시작일자 has 53 (100.0%) missing valuesMissing
기획여행보험종료일자 has 53 (100.0%) missing valuesMissing
자본금 has 27 (50.9%) missing valuesMissing
보험시작일자 has 27 (50.9%) missing valuesMissing
보험종료일자 has 27 (50.9%) missing valuesMissing
부대시설내역 has 53 (100.0%) missing valuesMissing
시설규모 has 40 (75.5%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
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 5 (9.4%) zerosZeros
자본금 has 1 (1.9%) zerosZeros
시설규모 has 5 (9.4%) zerosZeros

Reproduction

Analysis started2024-04-06 11:34:07.534856
Analysis finished2024-04-06 11:34:08.833583
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
3110000
53 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 53
100.0%

Length

2024-04-06T20:34:08.960827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:09.155604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 53
100.0%

관리번호
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-04-06T20:34:09.427294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1060
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

Unique53 ?
Unique (%)100.0%

Sample

1st rowCDFI2260011989000001
2nd rowCDFI2260011992000001
3rd rowCDFI2260011996000001
4th rowCDFI2260011997000004
5th rowCDFI2260011998000002
ValueCountFrequency (%)
cdfi2260011989000001 1
 
1.9%
cdfi2260012014000005 1
 
1.9%
cdfi2260012015000002 1
 
1.9%
cdfi2260012015000003 1
 
1.9%
cdfi2260012015000004 1
 
1.9%
cdfi2260012015000005 1
 
1.9%
cdfi2260012015000006 1
 
1.9%
cdfi2260012016000001 1
 
1.9%
cdfi2260012016000002 1
 
1.9%
cdfi2260012017000001 1
 
1.9%
Other values (43) 43
81.1%
2024-04-06T20:34:09.979559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 432
40.8%
2 175
16.5%
1 116
 
10.9%
6 60
 
5.7%
C 53
 
5.0%
D 53
 
5.0%
F 53
 
5.0%
I 53
 
5.0%
9 23
 
2.2%
3 10
 
0.9%
Other values (4) 32
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 848
80.0%
Uppercase Letter 212
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 432
50.9%
2 175
20.6%
1 116
 
13.7%
6 60
 
7.1%
9 23
 
2.7%
3 10
 
1.2%
5 10
 
1.2%
4 9
 
1.1%
7 7
 
0.8%
8 6
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 53
25.0%
D 53
25.0%
F 53
25.0%
I 53
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 848
80.0%
Latin 212
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 432
50.9%
2 175
20.6%
1 116
 
13.7%
6 60
 
7.1%
9 23
 
2.7%
3 10
 
1.2%
5 10
 
1.2%
4 9
 
1.1%
7 7
 
0.8%
8 6
 
0.7%
Latin
ValueCountFrequency (%)
C 53
25.0%
D 53
25.0%
F 53
25.0%
I 53
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 432
40.8%
2 175
16.5%
1 116
 
10.9%
6 60
 
5.7%
C 53
 
5.0%
D 53
 
5.0%
F 53
 
5.0%
I 53
 
5.0%
9 23
 
2.2%
3 10
 
0.9%
Other values (4) 32
 
3.0%

인허가일자
Date

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
Minimum1989-04-22 00:00:00
Maximum2023-11-09 00:00:00
2024-04-06T20:34:10.242379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:34:10.485074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
52 
20180117
 
1

Length

Max length8
Median length4
Mean length4.0754717
Min length4

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 52
98.1%
20180117 1
 
1.9%

Length

2024-04-06T20:34:10.716472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:11.269550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 52
98.1%
20180117 1
 
1.9%
Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
3
35 
1
15 
4
 
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
3 35
66.0%
1 15
28.3%
4 2
 
3.8%
5 1
 
1.9%

Length

2024-04-06T20:34:11.461321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:11.625267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 35
66.0%
1 15
28.3%
4 2
 
3.8%
5 1
 
1.9%

영업상태명
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
폐업
35 
영업/정상
15 
취소/말소/만료/정지/중지
 
2
제외/삭제/전출
 
1

Length

Max length14
Median length2
Mean length3.4150943
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 35
66.0%
영업/정상 15
28.3%
취소/말소/만료/정지/중지 2
 
3.8%
제외/삭제/전출 1
 
1.9%

Length

2024-04-06T20:34:11.786329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:11.971713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 35
66.0%
영업/정상 15
28.3%
취소/말소/만료/정지/중지 2
 
3.8%
제외/삭제/전출 1
 
1.9%
Distinct5
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size556.0 B
3
35 
13
15 
30
 
1
31
 
1
15
 
1

Length

Max length2
Median length1
Mean length1.3396226
Min length1

Unique

Unique3 ?
Unique (%)5.7%

Sample

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

Common Values

ValueCountFrequency (%)
3 35
66.0%
13 15
28.3%
30 1
 
1.9%
31 1
 
1.9%
15 1
 
1.9%

Length

2024-04-06T20:34:12.180770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:12.382026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 35
66.0%
13 15
28.3%
30 1
 
1.9%
31 1
 
1.9%
15 1
 
1.9%
Distinct5
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size556.0 B
폐업
35 
영업중
15 
허가취소
 
1
등록취소
 
1
전출
 
1

Length

Max length4
Median length2
Mean length2.3584906
Min length2

Unique

Unique3 ?
Unique (%)5.7%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 35
66.0%
영업중 15
28.3%
허가취소 1
 
1.9%
등록취소 1
 
1.9%
전출 1
 
1.9%

Length

2024-04-06T20:34:12.695905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:12.885699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 35
66.0%
영업중 15
28.3%
허가취소 1
 
1.9%
등록취소 1
 
1.9%
전출 1
 
1.9%

폐업일자
Date

MISSING 

Distinct36
Distinct (%)100.0%
Missing17
Missing (%)32.1%
Memory size556.0 B
Minimum1997-05-28 00:00:00
Maximum2023-12-29 00:00:00
2024-04-06T20:34:13.061613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:34:13.291638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

전화번호
Text

MISSING 

Distinct36
Distinct (%)97.3%
Missing16
Missing (%)30.2%
Memory size556.0 B
2024-04-06T20:34:13.621642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.054054
Min length8

Characters and Unicode

Total characters372
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

Unique35 ?
Unique (%)94.6%

Sample

1st row387-1237
2nd row02-358-7221
3rd row355-8411
4th row268-2244
5th row387-1237
ValueCountFrequency (%)
387-1237 2
 
5.4%
1588-4605 1
 
2.7%
02-3706-3333 1
 
2.7%
0269755352 1
 
2.7%
02-756-5041 1
 
2.7%
070-4806-8085 1
 
2.7%
02-307-3117 1
 
2.7%
023873116 1
 
2.7%
023588260 1
 
2.7%
023586700 1
 
2.7%
Other values (26) 26
70.3%
2024-04-06T20:34:14.300897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 54
14.5%
0 54
14.5%
- 48
12.9%
2 48
12.9%
7 34
9.1%
5 32
8.6%
8 30
8.1%
6 22
5.9%
4 19
 
5.1%
1 18
 
4.8%
Other values (2) 13
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 323
86.8%
Dash Punctuation 48
 
12.9%
Close Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 54
16.7%
0 54
16.7%
2 48
14.9%
7 34
10.5%
5 32
9.9%
8 30
9.3%
6 22
6.8%
4 19
 
5.9%
1 18
 
5.6%
9 12
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 54
14.5%
0 54
14.5%
- 48
12.9%
2 48
12.9%
7 34
9.1%
5 32
8.6%
8 30
8.1%
6 22
5.9%
4 19
 
5.1%
1 18
 
4.8%
Other values (2) 13
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 54
14.5%
0 54
14.5%
- 48
12.9%
2 48
12.9%
7 34
9.1%
5 32
8.6%
8 30
8.1%
6 22
5.9%
4 19
 
5.1%
1 18
 
4.8%
Other values (2) 13
 
3.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

소재지우편번호
Text

MISSING 

Distinct22
Distinct (%)81.5%
Missing26
Missing (%)49.1%
Memory size556.0 B
2024-04-06T20:34:14.604230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0740741
Min length6

Characters and Unicode

Total characters164
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

Unique18 ?
Unique (%)66.7%

Sample

1st row122808
2nd row122030
3rd row122824
4th row122837
5th row122859
ValueCountFrequency (%)
122882 3
 
11.1%
122837 2
 
7.4%
122859 2
 
7.4%
122824 2
 
7.4%
122897 1
 
3.7%
122808 1
 
3.7%
122927 1
 
3.7%
122829 1
 
3.7%
122911 1
 
3.7%
122200 1
 
3.7%
Other values (12) 12
44.4%
2024-04-06T20:34:15.099572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 63
38.4%
1 32
19.5%
8 24
 
14.6%
9 11
 
6.7%
0 9
 
5.5%
4 6
 
3.7%
7 6
 
3.7%
5 4
 
2.4%
6 4
 
2.4%
3 3
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 162
98.8%
Dash Punctuation 2
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 63
38.9%
1 32
19.8%
8 24
 
14.8%
9 11
 
6.8%
0 9
 
5.6%
4 6
 
3.7%
7 6
 
3.7%
5 4
 
2.5%
6 4
 
2.5%
3 3
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 164
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 63
38.4%
1 32
19.5%
8 24
 
14.6%
9 11
 
6.7%
0 9
 
5.5%
4 6
 
3.7%
7 6
 
3.7%
5 4
 
2.4%
6 4
 
2.4%
3 3
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 164
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 63
38.4%
1 32
19.5%
8 24
 
14.6%
9 11
 
6.7%
0 9
 
5.5%
4 6
 
3.7%
7 6
 
3.7%
5 4
 
2.4%
6 4
 
2.4%
3 3
 
1.8%
Distinct50
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-04-06T20:34:15.556854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length24.962264
Min length19

Characters and Unicode

Total characters1323
Distinct characters100
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

Unique47 ?
Unique (%)88.7%

Sample

1st row서울특별시 은평구 갈현동 388-1번지
2nd row서울특별시 은평구 대조동 3-4번지 2층
3rd row서울특별시 은평구 녹번동 6-9번지
4th row서울특별시 은평구 대조동 6-9번지 오산빌딩 208호
5th row서울특별시 은평구 불광동 308-19번지 범서쇼핑 3층호
ValueCountFrequency (%)
서울특별시 53
20.1%
은평구 53
20.1%
대조동 14
 
5.3%
응암동 9
 
3.4%
2층 9
 
3.4%
녹번동 7
 
2.7%
갈현동 5
 
1.9%
신사동 5
 
1.9%
불광동 5
 
1.9%
6-9번지 3
 
1.1%
Other values (87) 101
38.3%
2024-04-06T20:34:16.272614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
241
18.2%
1 57
 
4.3%
56
 
4.2%
56
 
4.2%
55
 
4.2%
54
 
4.1%
54
 
4.1%
54
 
4.1%
53
 
4.0%
53
 
4.0%
Other values (90) 590
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 771
58.3%
Decimal Number 244
 
18.4%
Space Separator 241
 
18.2%
Dash Punctuation 48
 
3.6%
Lowercase Letter 10
 
0.8%
Uppercase Letter 5
 
0.4%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
56
 
7.3%
56
 
7.3%
55
 
7.1%
54
 
7.0%
54
 
7.0%
54
 
7.0%
53
 
6.9%
53
 
6.9%
53
 
6.9%
41
 
5.3%
Other values (70) 242
31.4%
Decimal Number
ValueCountFrequency (%)
1 57
23.4%
2 40
16.4%
3 31
12.7%
8 23
9.4%
0 21
 
8.6%
4 20
 
8.2%
9 16
 
6.6%
5 13
 
5.3%
6 12
 
4.9%
7 11
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
a 4
40.0%
s 4
40.0%
u 2
20.0%
Uppercase Letter
ValueCountFrequency (%)
D 2
40.0%
H 2
40.0%
B 1
20.0%
Space Separator
ValueCountFrequency (%)
241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 771
58.3%
Common 537
40.6%
Latin 15
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
56
 
7.3%
56
 
7.3%
55
 
7.1%
54
 
7.0%
54
 
7.0%
54
 
7.0%
53
 
6.9%
53
 
6.9%
53
 
6.9%
41
 
5.3%
Other values (70) 242
31.4%
Common
ValueCountFrequency (%)
241
44.9%
1 57
 
10.6%
- 48
 
8.9%
2 40
 
7.4%
3 31
 
5.8%
8 23
 
4.3%
0 21
 
3.9%
4 20
 
3.7%
9 16
 
3.0%
5 13
 
2.4%
Other values (4) 27
 
5.0%
Latin
ValueCountFrequency (%)
a 4
26.7%
s 4
26.7%
D 2
13.3%
H 2
13.3%
u 2
13.3%
B 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 771
58.3%
ASCII 552
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
241
43.7%
1 57
 
10.3%
- 48
 
8.7%
2 40
 
7.2%
3 31
 
5.6%
8 23
 
4.2%
0 21
 
3.8%
4 20
 
3.6%
9 16
 
2.9%
5 13
 
2.4%
Other values (10) 42
 
7.6%
Hangul
ValueCountFrequency (%)
56
 
7.3%
56
 
7.3%
55
 
7.1%
54
 
7.0%
54
 
7.0%
54
 
7.0%
53
 
6.9%
53
 
6.9%
53
 
6.9%
41
 
5.3%
Other values (70) 242
31.4%
Distinct52
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-04-06T20:34:16.793423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length39
Mean length31.264151
Min length23

Characters and Unicode

Total characters1657
Distinct characters111
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

Unique51 ?
Unique (%)96.2%

Sample

1st row서울특별시 은평구 통일로 941 (갈현동)
2nd row서울특별시 은평구 통일로 753, 2층 (대조동)
3rd row서울특별시 은평구 통일로 684 (녹번동)
4th row서울특별시 은평구 통일로 739, 208호 (대조동,오산빌딩)
5th row서울특별시 은평구 통일로 842, 3층호 (불광동,범서쇼핑)
ValueCountFrequency (%)
서울특별시 53
 
16.0%
은평구 53
 
16.0%
통일로 17
 
5.1%
대조동 11
 
3.3%
응암동 8
 
2.4%
2층 8
 
2.4%
녹번동 7
 
2.1%
은평로 7
 
2.1%
3층 7
 
2.1%
갈현동 4
 
1.2%
Other values (129) 156
47.1%
2024-04-06T20:34:17.447923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
289
 
17.4%
62
 
3.7%
61
 
3.7%
60
 
3.6%
, 57
 
3.4%
56
 
3.4%
56
 
3.4%
( 55
 
3.3%
55
 
3.3%
) 55
 
3.3%
Other values (101) 851
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 916
55.3%
Space Separator 289
 
17.4%
Decimal Number 258
 
15.6%
Other Punctuation 57
 
3.4%
Open Punctuation 55
 
3.3%
Close Punctuation 55
 
3.3%
Dash Punctuation 13
 
0.8%
Lowercase Letter 10
 
0.6%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
62
 
6.8%
61
 
6.7%
60
 
6.6%
56
 
6.1%
56
 
6.1%
55
 
6.0%
54
 
5.9%
53
 
5.8%
53
 
5.8%
53
 
5.8%
Other values (81) 353
38.5%
Decimal Number
ValueCountFrequency (%)
1 49
19.0%
2 47
18.2%
3 32
12.4%
0 24
9.3%
4 22
8.5%
8 19
 
7.4%
6 19
 
7.4%
9 17
 
6.6%
7 16
 
6.2%
5 13
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
a 4
40.0%
s 4
40.0%
u 2
20.0%
Uppercase Letter
ValueCountFrequency (%)
H 2
50.0%
D 2
50.0%
Space Separator
ValueCountFrequency (%)
289
100.0%
Other Punctuation
ValueCountFrequency (%)
, 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 916
55.3%
Common 727
43.9%
Latin 14
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
62
 
6.8%
61
 
6.7%
60
 
6.6%
56
 
6.1%
56
 
6.1%
55
 
6.0%
54
 
5.9%
53
 
5.8%
53
 
5.8%
53
 
5.8%
Other values (81) 353
38.5%
Common
ValueCountFrequency (%)
289
39.8%
, 57
 
7.8%
( 55
 
7.6%
) 55
 
7.6%
1 49
 
6.7%
2 47
 
6.5%
3 32
 
4.4%
0 24
 
3.3%
4 22
 
3.0%
8 19
 
2.6%
Other values (5) 78
 
10.7%
Latin
ValueCountFrequency (%)
a 4
28.6%
s 4
28.6%
u 2
14.3%
H 2
14.3%
D 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 916
55.3%
ASCII 741
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
289
39.0%
, 57
 
7.7%
( 55
 
7.4%
) 55
 
7.4%
1 49
 
6.6%
2 47
 
6.3%
3 32
 
4.3%
0 24
 
3.2%
4 22
 
3.0%
8 19
 
2.6%
Other values (10) 92
 
12.4%
Hangul
ValueCountFrequency (%)
62
 
6.8%
61
 
6.7%
60
 
6.6%
56
 
6.1%
56
 
6.1%
55
 
6.0%
54
 
5.9%
53
 
5.8%
53
 
5.8%
53
 
5.8%
Other values (81) 353
38.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)76.5%
Missing19
Missing (%)35.8%
Infinite0
Infinite (%)0.0%
Mean17422
Minimum3306
Maximum122829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-06T20:34:17.661590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3306
5-th percentile3307.3
Q13375
median3396
Q33454.75
95-th percentile122824
Maximum122829
Range119523
Interquartile range (IQR)79.75

Descriptive statistics

Standard deviation38993.266
Coefficient of variation (CV)2.2381624
Kurtosis4.4302643
Mean17422
Median Absolute Deviation (MAD)57
Skewness2.4844819
Sum592348
Variance1.5204748 × 109
MonotonicityNot monotonic
2024-04-06T20:34:17.876174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3396 3
 
5.7%
3375 3
 
5.7%
3391 2
 
3.8%
3306 2
 
3.8%
3453 2
 
3.8%
122824 2
 
3.8%
3392 1
 
1.9%
3308 1
 
1.9%
3454 1
 
1.9%
3461 1
 
1.9%
Other values (16) 16
30.2%
(Missing) 19
35.8%
ValueCountFrequency (%)
3306 2
3.8%
3308 1
 
1.9%
3314 1
 
1.9%
3330 1
 
1.9%
3333 1
 
1.9%
3351 1
 
1.9%
3371 1
 
1.9%
3375 3
5.7%
3385 1
 
1.9%
3391 2
3.8%
ValueCountFrequency (%)
122829 1
1.9%
122824 2
3.8%
122030 1
1.9%
3488 1
1.9%
3470 1
1.9%
3464 1
1.9%
3461 1
1.9%
3455 1
1.9%
3454 1
1.9%
3453 2
3.8%

사업장명
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-04-06T20:34:18.228960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.6792453
Min length3

Characters and Unicode

Total characters460
Distinct characters132
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

Unique53 ?
Unique (%)100.0%

Sample

1st row동양관광여행사
2nd row(주)서울서부여행사
3rd row두원관광여행사 (국내)
4th row엘리트항공 (국외)
5th row(주)동양관광여행사
ValueCountFrequency (%)
주식회사 9
 
12.9%
국내 2
 
2.9%
동양관광여행사 1
 
1.4%
나이스펀투어 1
 
1.4%
버한여행사 1
 
1.4%
투어레시피 1
 
1.4%
투어콕 1
 
1.4%
주)미래희망드림 1
 
1.4%
주)여행바람 1
 
1.4%
주)매일관광 1
 
1.4%
Other values (51) 51
72.9%
2024-04-06T20:34:18.868148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
 
7.4%
( 29
 
6.3%
) 29
 
6.3%
26
 
5.7%
19
 
4.1%
19
 
4.1%
18
 
3.9%
18
 
3.9%
17
 
3.7%
10
 
2.2%
Other values (122) 241
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 382
83.0%
Open Punctuation 29
 
6.3%
Close Punctuation 29
 
6.3%
Space Separator 17
 
3.7%
Uppercase Letter 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
34
 
8.9%
26
 
6.8%
19
 
5.0%
19
 
5.0%
18
 
4.7%
18
 
4.7%
10
 
2.6%
10
 
2.6%
9
 
2.4%
9
 
2.4%
Other values (116) 210
55.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
Y 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 382
83.0%
Common 76
 
16.5%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
34
 
8.9%
26
 
6.8%
19
 
5.0%
19
 
5.0%
18
 
4.7%
18
 
4.7%
10
 
2.6%
10
 
2.6%
9
 
2.4%
9
 
2.4%
Other values (116) 210
55.0%
Common
ValueCountFrequency (%)
( 29
38.2%
) 29
38.2%
17
22.4%
& 1
 
1.3%
Latin
ValueCountFrequency (%)
T 1
50.0%
Y 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 382
83.0%
ASCII 78
 
17.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
34
 
8.9%
26
 
6.8%
19
 
5.0%
19
 
5.0%
18
 
4.7%
18
 
4.7%
10
 
2.6%
10
 
2.6%
9
 
2.4%
9
 
2.4%
Other values (116) 210
55.0%
ASCII
ValueCountFrequency (%)
( 29
37.2%
) 29
37.2%
17
21.8%
& 1
 
1.3%
T 1
 
1.3%
Y 1
 
1.3%
Distinct51
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
Minimum2003-04-17 19:26:09
Maximum2024-02-28 10:49:08
2024-04-06T20:34:19.120243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:34:19.445194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
I
27 
U
26 

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 (%)
I 27
50.9%
U 26
49.1%

Length

2024-04-06T20:34:19.687625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:19.829032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 27
50.9%
u 26
49.1%
Distinct27
Distinct (%)50.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:01:00
2024-04-06T20:34:19.974373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:34:20.156054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

좌표정보(X)
Real number (ℝ)

Distinct49
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193019.55
Minimum190066.88
Maximum194576.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-06T20:34:20.386732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190066.88
5-th percentile191671.74
Q1192728.02
median192999.73
Q3193584.82
95-th percentile194058
Maximum194576.62
Range4509.7369
Interquartile range (IQR)856.79617

Descriptive statistics

Standard deviation829.4125
Coefficient of variation (CV)0.0042970387
Kurtosis3.2193309
Mean193019.55
Median Absolute Deviation (MAD)476.582
Skewness-1.2687533
Sum10230036
Variance687925.09
MonotonicityNot monotonic
2024-04-06T20:34:20.651085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
192824.609613775 2
 
3.8%
193630.612534041 2
 
3.8%
193387.674297301 2
 
3.8%
193612.791157753 2
 
3.8%
193281.778416286 1
 
1.9%
190578.125638037 1
 
1.9%
191971.566352471 1
 
1.9%
192600.451566859 1
 
1.9%
193738.187678698 1
 
1.9%
192728.085842162 1
 
1.9%
Other values (39) 39
73.6%
ValueCountFrequency (%)
190066.880282325 1
1.9%
190578.125638037 1
1.9%
191221.996345805 1
1.9%
191971.566352471 1
1.9%
192166.132783319 1
1.9%
192204.406731491 1
1.9%
192318.383820956 1
1.9%
192378.148129468 1
1.9%
192468.104402881 1
1.9%
192582.934744207 1
1.9%
ValueCountFrequency (%)
194576.61718897 1
1.9%
194453.569951258 1
1.9%
194101.134591972 1
1.9%
194029.235749604 1
1.9%
193924.56646171 1
1.9%
193917.79591497 1
1.9%
193738.187678698 1
1.9%
193726.564137033 1
1.9%
193712.187549429 1
1.9%
193630.612534041 2
3.8%

좌표정보(Y)
Real number (ℝ)

Distinct49
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean456274.1
Minimum452953.23
Maximum460859.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-06T20:34:20.861512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452953.23
5-th percentile453870.12
Q1455227.38
median456224.95
Q3457118.58
95-th percentile458701.98
Maximum460859.54
Range7906.315
Interquartile range (IQR)1891.1914

Descriptive statistics

Standard deviation1495.6005
Coefficient of variation (CV)0.0032778554
Kurtosis1.1377881
Mean456274.1
Median Absolute Deviation (MAD)935.55247
Skewness0.47227005
Sum24182527
Variance2236820.9
MonotonicityNot monotonic
2024-04-06T20:34:21.117134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
458291.029836776 2
 
3.8%
456543.824996823 2
 
3.8%
456897.797961872 2
 
3.8%
456581.836941281 2
 
3.8%
457082.762884018 1
 
1.9%
453614.648751982 1
 
1.9%
455102.342906373 1
 
1.9%
455197.91922534 1
 
1.9%
456210.937736805 1
 
1.9%
457118.575913036 1
 
1.9%
Other values (39) 39
73.6%
ValueCountFrequency (%)
452953.227572091 1
1.9%
453614.648751982 1
1.9%
453806.081080936 1
1.9%
453912.820777196 1
1.9%
454113.028803998 1
1.9%
454552.507165347 1
1.9%
454834.940236488 1
1.9%
454859.684217753 1
1.9%
455043.818510165 1
1.9%
455102.342906373 1
1.9%
ValueCountFrequency (%)
460859.542618718 1
1.9%
459646.827222065 1
1.9%
459318.404757978 1
1.9%
458291.029836776 2
3.8%
457823.345261541 1
1.9%
457719.165496103 1
1.9%
457487.237472828 1
1.9%
457479.99522553 1
1.9%
457382.725183352 1
1.9%
457278.802885165 1
1.9%
Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
국내여행업
38 
<NA>
15 

Length

Max length5
Median length5
Mean length4.7169811
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내여행업 38
71.7%
<NA> 15
 
28.3%

Length

2024-04-06T20:34:21.369640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:21.531839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 38
71.7%
na 15
 
28.3%
Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
36 
관광사업
17 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
67.9%
관광사업 17
32.1%

Length

2024-04-06T20:34:21.692939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:21.852416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
67.9%
관광사업 17
32.1%

지역구분명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing49
Missing (%)92.5%
Memory size556.0 B
2024-04-06T20:34:22.056509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.5
Min length4

Characters and Unicode

Total characters22
Distinct characters8
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

Unique2 ?
Unique (%)50.0%

Sample

1st row상업지역
2nd row일반상업지역
3rd row근린상업지역
4th row일반상업지역
ValueCountFrequency (%)
일반상업지역 2
50.0%
상업지역 1
25.0%
근린상업지역 1
25.0%
2024-04-06T20:34:22.637187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
18.2%
4
18.2%
4
18.2%
4
18.2%
2
9.1%
2
9.1%
1
 
4.5%
1
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4
18.2%
4
18.2%
4
18.2%
4
18.2%
2
9.1%
2
9.1%
1
 
4.5%
1
 
4.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4
18.2%
4
18.2%
4
18.2%
4
18.2%
2
9.1%
2
9.1%
1
 
4.5%
1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4
18.2%
4
18.2%
4
18.2%
4
18.2%
2
9.1%
2
9.1%
1
 
4.5%
1
 
4.5%

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
49 
4
 
2
13
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.7924528
Min length1

Unique

Unique2 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
92.5%
4 2
 
3.8%
13 1
 
1.9%
0 1
 
1.9%

Length

2024-04-06T20:34:22.888743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:23.099927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
92.5%
4 2
 
3.8%
13 1
 
1.9%
0 1
 
1.9%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
48 
기타
 
4
유흥업소밀집지역
 
1

Length

Max length8
Median length4
Mean length3.9245283
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
90.6%
기타 4
 
7.5%
유흥업소밀집지역 1
 
1.9%

Length

2024-04-06T20:34:23.276017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:23.441220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
90.6%
기타 4
 
7.5%
유흥업소밀집지역 1
 
1.9%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

보험기관명
Categorical

Distinct10
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
29 
서울보증보험
11 
한국관광협회중앙회 여행공제회
서울보증보험주식회사
서울특별시관광협회(공제회)
 
2
Other values (5)

Length

Max length19
Median length4
Mean length6.4528302
Min length4

Unique

Unique5 ?
Unique (%)9.4%

Sample

1st row<NA>
2nd row한국관광협회중앙회 여행공제회
3rd row<NA>
4th row<NA>
5th row서울특별시관광협회(공제회)

Common Values

ValueCountFrequency (%)
<NA> 29
54.7%
서울보증보험 11
 
20.8%
한국관광협회중앙회 여행공제회 3
 
5.7%
서울보증보험주식회사 3
 
5.7%
서울특별시관광협회(공제회) 2
 
3.8%
한국관광협회중앙회 1
 
1.9%
보증보험 1
 
1.9%
서울보증보험(55백만원) 1
 
1.9%
한국관광협회(20,000,000원) 1
 
1.9%
서울보증보험(2천만원) 1
 
1.9%

Length

2024-04-06T20:34:23.765184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:24.019555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
51.8%
서울보증보험 11
 
19.6%
한국관광협회중앙회 4
 
7.1%
여행공제회 3
 
5.4%
서울보증보험주식회사 3
 
5.4%
서울특별시관광협회(공제회 2
 
3.6%
보증보험 1
 
1.8%
서울보증보험(55백만원 1
 
1.8%
한국관광협회(20,000,000원 1
 
1.8%
서울보증보험(2천만원 1
 
1.8%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
45 
근린생활시설
사무실
 
1
유통시설
 
1

Length

Max length6
Median length4
Mean length4.2075472
Min length3

Unique

Unique2 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
84.9%
근린생활시설 6
 
11.3%
사무실 1
 
1.9%
유통시설 1
 
1.9%

Length

2024-04-06T20:34:24.362857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:24.559250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
84.9%
근린생활시설 6
 
11.3%
사무실 1
 
1.9%
유통시설 1
 
1.9%

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
48 
3
 
3
11
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.7358491
Min length1

Unique

Unique2 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
90.6%
3 3
 
5.7%
11 1
 
1.9%
0 1
 
1.9%

Length

2024-04-06T20:34:25.321374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:25.541425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
90.6%
3 3
 
5.7%
11 1
 
1.9%
0 1
 
1.9%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
49 
1
 
2
2
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.7735849
Min length1

Unique

Unique2 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
92.5%
1 2
 
3.8%
2 1
 
1.9%
0 1
 
1.9%

Length

2024-04-06T20:34:25.908583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:26.170884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
92.5%
1 2
 
3.8%
2 1
 
1.9%
0 1
 
1.9%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
51 
0
 
2

Length

Max length4
Median length4
Mean length3.8867925
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> 51
96.2%
0 2
 
3.8%

Length

2024-04-06T20:34:26.356513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:26.511330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
96.2%
0 2
 
3.8%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
51 
0
 
2

Length

Max length4
Median length4
Mean length3.8867925
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> 51
96.2%
0 2
 
3.8%

Length

2024-04-06T20:34:26.720205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:27.042964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
96.2%
0 2
 
3.8%

영문상호명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing50
Missing (%)94.3%
Memory size556.0 B
2024-04-06T20:34:27.306390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length15
Mean length18.666667
Min length7

Characters and Unicode

Total characters56
Distinct characters28
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 rowTOURJIN
2nd rowAPM TOUR CO.LTD
3rd rowThe beginning of a journey TOURJIN
ValueCountFrequency (%)
tourjin 2
20.0%
apm 1
10.0%
tour 1
10.0%
co.ltd 1
10.0%
the 1
10.0%
beginning 1
10.0%
of 1
10.0%
a 1
10.0%
journey 1
10.0%
2024-04-06T20:34:27.920951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
 
12.5%
T 5
 
8.9%
n 4
 
7.1%
O 4
 
7.1%
U 3
 
5.4%
R 3
 
5.4%
e 3
 
5.4%
g 2
 
3.6%
o 2
 
3.6%
i 2
 
3.6%
Other values (18) 21
37.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 27
48.2%
Lowercase Letter 21
37.5%
Space Separator 7
 
12.5%
Other Punctuation 1
 
1.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 5
18.5%
O 4
14.8%
U 3
11.1%
R 3
11.1%
N 2
 
7.4%
I 2
 
7.4%
J 2
 
7.4%
D 1
 
3.7%
L 1
 
3.7%
C 1
 
3.7%
Other values (3) 3
11.1%
Lowercase Letter
ValueCountFrequency (%)
n 4
19.0%
e 3
14.3%
g 2
9.5%
o 2
9.5%
i 2
9.5%
u 1
 
4.8%
a 1
 
4.8%
f 1
 
4.8%
r 1
 
4.8%
j 1
 
4.8%
Other values (3) 3
14.3%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 48
85.7%
Common 8
 
14.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 5
 
10.4%
n 4
 
8.3%
O 4
 
8.3%
U 3
 
6.2%
R 3
 
6.2%
e 3
 
6.2%
g 2
 
4.2%
o 2
 
4.2%
i 2
 
4.2%
N 2
 
4.2%
Other values (16) 18
37.5%
Common
ValueCountFrequency (%)
7
87.5%
. 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7
 
12.5%
T 5
 
8.9%
n 4
 
7.1%
O 4
 
7.1%
U 3
 
5.4%
R 3
 
5.4%
e 3
 
5.4%
g 2
 
3.6%
o 2
 
3.6%
i 2
 
3.6%
Other values (18) 21
37.5%

영문상호주소
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing50
Missing (%)94.3%
Memory size556.0 B
2024-04-06T20:34:28.140935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters72
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st rowDomestic travel business
2nd rowDomestic Travel Business
3rd rowDomestic travel business
ValueCountFrequency (%)
domestic 3
33.3%
travel 3
33.3%
business 3
33.3%
2024-04-06T20:34:28.790557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 12
16.7%
e 9
12.5%
i 6
 
8.3%
6
 
8.3%
t 5
 
6.9%
D 3
 
4.2%
v 3
 
4.2%
n 3
 
4.2%
u 3
 
4.2%
l 3
 
4.2%
Other values (8) 19
26.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 61
84.7%
Space Separator 6
 
8.3%
Uppercase Letter 5
 
6.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 12
19.7%
e 9
14.8%
i 6
9.8%
t 5
8.2%
v 3
 
4.9%
n 3
 
4.9%
u 3
 
4.9%
l 3
 
4.9%
r 3
 
4.9%
a 3
 
4.9%
Other values (4) 11
18.0%
Uppercase Letter
ValueCountFrequency (%)
D 3
60.0%
T 1
 
20.0%
B 1
 
20.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

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

Most frequent character per script

Latin
ValueCountFrequency (%)
s 12
18.2%
e 9
13.6%
i 6
 
9.1%
t 5
 
7.6%
D 3
 
4.5%
v 3
 
4.5%
n 3
 
4.5%
u 3
 
4.5%
l 3
 
4.5%
r 3
 
4.5%
Other values (7) 16
24.2%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 12
16.7%
e 9
12.5%
i 6
 
8.3%
6
 
8.3%
t 5
 
6.9%
D 3
 
4.2%
v 3
 
4.2%
n 3
 
4.2%
u 3
 
4.2%
l 3
 
4.2%
Other values (8) 19
26.4%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
51 
0
 
2

Length

Max length4
Median length4
Mean length3.8867925
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> 51
96.2%
0 2
 
3.8%

Length

2024-04-06T20:34:29.199550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:29.358370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
96.2%
0 2
 
3.8%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
51 
0
 
2

Length

Max length4
Median length4
Mean length3.8867925
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> 51
96.2%
0 2
 
3.8%

Length

2024-04-06T20:34:29.564281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:29.836437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
96.2%
0 2
 
3.8%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
51 
0
 
2

Length

Max length4
Median length4
Mean length3.8867925
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> 51
96.2%
0 2
 
3.8%

Length

2024-04-06T20:34:30.144258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:30.311164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
96.2%
0 2
 
3.8%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
51 
0
 
2

Length

Max length4
Median length4
Mean length3.8867925
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> 51
96.2%
0 2
 
3.8%

Length

2024-04-06T20:34:30.475636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:30.624971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
96.2%
0 2
 
3.8%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
51 
0
 
2

Length

Max length4
Median length4
Mean length3.8867925
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> 51
96.2%
0 2
 
3.8%

Length

2024-04-06T20:34:30.827937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:31.018759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
96.2%
0 2
 
3.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)69.2%
Missing40
Missing (%)75.5%
Infinite0
Infinite (%)0.0%
Mean30.946154
Minimum0
Maximum135.14
Zeros5
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-06T20:34:31.145738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9.28
Q330
95-th percentile133.436
Maximum135.14
Range135.14
Interquartile range (IQR)30

Descriptive statistics

Standard deviation47.44873
Coefficient of variation (CV)1.5332674
Kurtosis2.2906398
Mean30.946154
Median Absolute Deviation (MAD)9.28
Skewness1.8423206
Sum402.3
Variance2251.382
MonotonicityNot monotonic
2024-04-06T20:34:31.340086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 5
 
9.4%
30.0 1
 
1.9%
9.28 1
 
1.9%
30.3 1
 
1.9%
29.64 1
 
1.9%
132.3 1
 
1.9%
29.7 1
 
1.9%
135.14 1
 
1.9%
5.94 1
 
1.9%
(Missing) 40
75.5%
ValueCountFrequency (%)
0.0 5
9.4%
5.94 1
 
1.9%
9.28 1
 
1.9%
29.64 1
 
1.9%
29.7 1
 
1.9%
30.0 1
 
1.9%
30.3 1
 
1.9%
132.3 1
 
1.9%
135.14 1
 
1.9%
ValueCountFrequency (%)
135.14 1
 
1.9%
132.3 1
 
1.9%
30.3 1
 
1.9%
30.0 1
 
1.9%
29.7 1
 
1.9%
29.64 1
 
1.9%
9.28 1
 
1.9%
5.94 1
 
1.9%
0.0 5
9.4%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
51 
0
 
2

Length

Max length4
Median length4
Mean length3.8867925
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> 51
96.2%
0 2
 
3.8%

Length

2024-04-06T20:34:31.546550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:34:31.723405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
96.2%
0 2
 
3.8%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

자본금
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)42.3%
Missing27
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean93134842
Minimum0
Maximum1 × 109
Zeros1
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-06T20:34:31.868942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15634384
Q130000000
median50000000
Q389742092
95-th percentile1.5 × 108
Maximum1 × 109
Range1 × 109
Interquartile range (IQR)59742092

Descriptive statistics

Standard deviation1.8884082 × 108
Coefficient of variation (CV)2.0276066
Kurtosis23.670238
Mean93134842
Median Absolute Deviation (MAD)20000000
Skewness4.7752684
Sum2.4215059 × 109
Variance3.5660855 × 1016
MonotonicityNot monotonic
2024-04-06T20:34:32.035440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
50000000 7
 
13.2%
30000000 7
 
13.2%
150000000 2
 
3.8%
100000000 2
 
3.8%
90000000 2
 
3.8%
88968367 1
 
1.9%
60000000 1
 
1.9%
1000000000 1
 
1.9%
17537536 1
 
1.9%
15000000 1
 
1.9%
(Missing) 27
50.9%
ValueCountFrequency (%)
0 1
 
1.9%
15000000 1
 
1.9%
17537536 1
 
1.9%
30000000 7
13.2%
50000000 7
13.2%
60000000 1
 
1.9%
88968367 1
 
1.9%
90000000 2
 
3.8%
100000000 2
 
3.8%
150000000 2
 
3.8%
ValueCountFrequency (%)
1000000000 1
 
1.9%
150000000 2
 
3.8%
100000000 2
 
3.8%
90000000 2
 
3.8%
88968367 1
 
1.9%
60000000 1
 
1.9%
50000000 7
13.2%
30000000 7
13.2%
17537536 1
 
1.9%
15000000 1
 
1.9%

보험시작일자
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing27
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean20155973
Minimum20050902
Maximum20201111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-06T20:34:32.206695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050902
5-th percentile20102899
Q120142912
median20160863
Q320171067
95-th percentile20190646
Maximum20201111
Range150209
Interquartile range (IQR)28154.75

Descriptive statistics

Standard deviation33402.082
Coefficient of variation (CV)0.0016571804
Kurtosis2.6780753
Mean20155973
Median Absolute Deviation (MAD)15554
Skewness-1.4155719
Sum5.2405529 × 108
Variance1.1156991 × 109
MonotonicityNot monotonic
2024-04-06T20:34:32.414996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20160630 1
 
1.9%
20190209 1
 
1.9%
20201111 1
 
1.9%
20190405 1
 
1.9%
20170525 1
 
1.9%
20170118 1
 
1.9%
20171117 1
 
1.9%
20170918 1
 
1.9%
20170802 1
 
1.9%
20170301 1
 
1.9%
Other values (16) 16
30.2%
(Missing) 27
50.9%
ValueCountFrequency (%)
20050902 1
1.9%
20100324 1
1.9%
20110624 1
1.9%
20120614 1
1.9%
20130111 1
1.9%
20130325 1
1.9%
20140516 1
1.9%
20150102 1
1.9%
20150320 1
1.9%
20160630 1
1.9%
ValueCountFrequency (%)
20201111 1
1.9%
20190726 1
1.9%
20190405 1
1.9%
20190221 1
1.9%
20190209 1
1.9%
20181210 1
1.9%
20171117 1
1.9%
20170918 1
1.9%
20170802 1
1.9%
20170525 1
1.9%

보험종료일자
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing27
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean20165972
Minimum20060902
Maximum20211110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-06T20:34:32.621740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060902
5-th percentile20112899
Q120152912
median20170862
Q320181066
95-th percentile20200645
Maximum20211110
Range150208
Interquartile range (IQR)28154.75

Descriptive statistics

Standard deviation33401.915
Coefficient of variation (CV)0.0016563504
Kurtosis2.6780398
Mean20165972
Median Absolute Deviation (MAD)15554
Skewness-1.4155601
Sum5.2431527 × 108
Variance1.115688 × 109
MonotonicityNot monotonic
2024-04-06T20:34:32.805168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20170629 1
 
1.9%
20200208 1
 
1.9%
20211110 1
 
1.9%
20200404 1
 
1.9%
20180524 1
 
1.9%
20180118 1
 
1.9%
20181116 1
 
1.9%
20180917 1
 
1.9%
20180801 1
 
1.9%
20180301 1
 
1.9%
Other values (16) 16
30.2%
(Missing) 27
50.9%
ValueCountFrequency (%)
20060902 1
1.9%
20110324 1
1.9%
20120624 1
1.9%
20130613 1
1.9%
20140111 1
1.9%
20140324 1
1.9%
20150515 1
1.9%
20160101 1
1.9%
20160319 1
1.9%
20170629 1
1.9%
ValueCountFrequency (%)
20211110 1
1.9%
20200725 1
1.9%
20200404 1
1.9%
20200221 1
1.9%
20200208 1
1.9%
20191210 1
1.9%
20181116 1
1.9%
20180917 1
1.9%
20180801 1
1.9%
20180524 1
1.9%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)46.2%
Missing40
Missing (%)75.5%
Infinite0
Infinite (%)0.0%
Mean30.923077
Minimum0
Maximum135
Zeros5
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-06T20:34:32.932332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9
Q330
95-th percentile133.2
Maximum135
Range135
Interquartile range (IQR)30

Descriptive statistics

Standard deviation47.376966
Coefficient of variation (CV)1.5320909
Kurtosis2.2822881
Mean30.923077
Median Absolute Deviation (MAD)9
Skewness1.8394139
Sum402
Variance2244.5769
MonotonicityNot monotonic
2024-04-06T20:34:33.060136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 5
 
9.4%
30 4
 
7.5%
9 1
 
1.9%
132 1
 
1.9%
135 1
 
1.9%
6 1
 
1.9%
(Missing) 40
75.5%
ValueCountFrequency (%)
0 5
9.4%
6 1
 
1.9%
9 1
 
1.9%
30 4
7.5%
132 1
 
1.9%
135 1
 
1.9%
ValueCountFrequency (%)
135 1
 
1.9%
132 1
 
1.9%
30 4
7.5%
9 1
 
1.9%
6 1
 
1.9%
0 5
9.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03110000CDFI226001198900000119890422<NA>3폐업3폐업19970528<NA><NA><NA>387-1237<NA>122808서울특별시 은평구 갈현동 388-1번지서울특별시 은평구 통일로 941 (갈현동)<NA>동양관광여행사2003-04-17 19:26:09I2018-08-31 23:59:59.0<NA>192824.609614458291.029837국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
13110000CDFI226001199200000119921119<NA>3폐업3폐업20200331<NA><NA><NA>02-358-7221<NA>122030서울특별시 은평구 대조동 3-4번지 2층서울특별시 은평구 통일로 753, 2층 (대조동)122030(주)서울서부여행사2020-04-23 16:24:26U2020-04-25 02:40:00.0<NA>193558.87653456652.352338국내여행업관광사업<NA><NA><NA><NA>한국관광협회중앙회 여행공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019022120200221<NA><NA>
23110000CDFI226001199600000119961105<NA>3폐업3폐업20001223<NA><NA><NA>355-8411<NA>122824서울특별시 은평구 녹번동 6-9번지서울특별시 은평구 통일로 684 (녹번동)122824두원관광여행사 (국내)2014-03-26 14:26:35I2018-08-31 23:59:59.0<NA>194576.617189456427.701918국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
33110000CDFI226001199700000419971112<NA>3폐업3폐업20030512<NA><NA><NA>268-2244<NA>122837서울특별시 은평구 대조동 6-9번지 오산빌딩 208호서울특별시 은평구 통일로 739, 208호 (대조동,오산빌딩)<NA>엘리트항공 (국외)2003-05-13 10:01:03I2018-08-31 23:59:59.0<NA>193630.612534456543.824997국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43110000CDFI226001199800000219980611<NA>3폐업3폐업20080820<NA><NA><NA>387-1237<NA>122859서울특별시 은평구 불광동 308-19번지 범서쇼핑 3층호서울특별시 은평구 통일로 842, 3층호 (불광동,범서쇼핑)<NA>(주)동양관광여행사2008-08-20 11:51:24I2018-08-31 23:59:59.0<NA>193062.873452457382.725183국내여행업관광사업<NA><NA><NA><NA>서울특별시관광협회(공제회)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2005090220060902<NA><NA>
53110000CDFI22600119980000031998-05-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-306-8484<NA>122-875서울특별시 은평구 수색동 317-9서울특별시 은평구 수색로 340 (수색동)<NA>모드니에관광여행사2024-02-08 10:21:45U2023-12-01 23:01:00.0<NA>190066.880282453806.081081<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63110000CDFI226001199900000119990401<NA>3폐업3폐업20011220<NA><NA><NA>383-0781<NA>122804서울특별시 은평구 갈현동 276-5번지 2층서울특별시 은평구 갈현로39길 12-3 (갈현동,2층)<NA>로터스 코리아 인터내쇼날(사무소)2003-04-17 19:26:09I2018-08-31 23:59:59.0<NA>192468.104403457823.345262국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
73110000CDFI226001200000000220000711<NA>1영업/정상13영업중<NA><NA><NA><NA>358-3282<NA>122895서울특별시 은평구 역촌동 3-11 2층서울특별시 은평구 역말로 87 (역촌동,2층)<NA>(주)커플랜드여행사2020-10-05 09:03:31U2020-10-07 02:40:00.0<NA>192811.332589456130.329583국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83110000CDFI226001200100000820010207<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>304-9977<NA>122882서울특별시 은평구 신사동 35-20번지 (202호)서울특별시 은평구 증산로 413 (신사동,(202호))<NA>(주)한국항공여행사2004-06-21 09:28:56I2018-08-31 23:59:59.0<NA>192318.383821454552.507165국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93110000CDFI226001200200000120020307<NA>3폐업3폐업20020307<NA><NA><NA>359-4254<NA>122837서울특별시 은평구 대조동 6-9번지서울특별시 은평구 통일로 739 (대조동)<NA>(주)서귀포항공관광 (국내)2003-04-17 19:26:09I2018-08-31 23:59:59.0<NA>193630.612534456543.824997국내여행업관광사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
433110000CDFI226001201900000420191111<NA>3폐업3폐업20220121<NA><NA><NA>02-355-5652<NA><NA>서울특별시 은평구 녹번동 116-4서울특별시 은평구 통일로 689, 3층 (녹번동)3375주식회사 해피트래블2022-01-21 09:56:53U2022-01-23 02:40:00.0<NA>193924.566462456150.35791국내여행업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0<NA><NA><NA><NA><NA><NA>02020111120211110<NA>0
443110000CDFI226001201900000520191113<NA>3폐업3폐업20220620<NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 9-40 해오름시티서울특별시 은평구 통일로67길 11, 13층 1301호 (대조동, 해오름시티)3396인별트립2022-06-21 11:15:44U2021-12-05 22:03:00.0<NA>193584.819883456478.233072<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453110000CDFI226001201900000620191115<NA>5제외/삭제/전출15전출20220526<NA><NA><NA><NA><NA><NA>서울특별시 은평구 녹번동 7 서울혁신파크서울특별시 은평구 통일로 684, 서울혁신파크 8동 3층 (녹번동)3371길여행 주식회사2022-05-26 11:30:51U2021-12-04 22:08:00.0<NA>194029.23575456185.615536<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
463110000CDFI226001201900000720070525<NA>1영업/정상13영업중<NA><NA><NA><NA>02-468-8669<NA><NA>서울특별시 은평구 응암동 104-42번지 201호서울특별시 은평구 응암로 294, 201호 (응암동)3464에이스투어2019-12-31 14:53:11U2020-01-02 02:40:00.0<NA>192922.762189455043.81851국내여행업<NA><NA><NA><NA><NA>서울보증보험(2천만원)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2019020920200208<NA><NA>
473110000CDFI22600120200000012020-04-08<NA>3폐업3폐업2023-12-29<NA><NA><NA>02-730-1020<NA><NA>서울특별시 은평구 대조동 196-20 시몬빌딩서울특별시 은평구 연서로26길 9-1, 시몬빌딩 (대조동)3385주식회사 다비드투어2023-12-29 16:14:19U2022-11-01 21:01:00.0<NA>192933.483818457185.264634<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
483110000CDFI226001202000000320180105<NA>3폐업3폐업20220531<NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 88-8 응암아네스트서울특별시 은평구 은평로 123, 6층 615호 (응암동, 응암아네스트)3461아이리스투어2022-05-31 13:38:16U2021-12-06 00:04:00.0<NA>192999.733437455360.193881<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
493110000CDFI226001202100000119981114<NA>3폐업3폐업20220817<NA><NA><NA>027223366<NA><NA>서울특별시 은평구 응암동 110-1 위산 일리온시티서울특별시 은평구 은평로 116, 608호 (응암동, 위산 일리온시티)3454(주)일품투어2022-08-22 11:17:57U2021-12-07 22:04:00.0<NA>192928.382327455289.394177<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
503110000CDFI22600120230000012023-03-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 84-3 대조빌딩서울특별시 은평구 통일로71길 2-1, 대조빌딩 4층 26호 (대조동)3391(주)모아스토리2023-11-02 15:14:35U2022-11-01 00:04:00.0<NA>193387.674297456897.797962<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513110000CDFI22600120230000022023-11-09<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7633-3727<NA><NA>서울특별시 은평구 대조동 84-3 대조빌딩서울특별시 은평구 통일로71길 2-1, 대조빌딩 5층 504호 (대조동)3391자신만만 역사문화교실2023-11-17 15:31:00U2022-10-31 23:09:00.0<NA>193387.674297456897.797962<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523110000CDFI22600120240000012018-06-14<NA>1영업/정상13영업중<NA><NA><NA><NA>07043361824<NA><NA>서울특별시 은평구 진관동 330-14 북한산글램핑장서울특별시 은평구 북한산로 232-1, 북한산글램핑장 (진관동)3308캠핑톡 주식회사2024-02-28 10:49:08I2023-12-03 00:01:00.0<NA>194453.569951460859.542619<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>