Overview

Dataset statistics

Number of variables60
Number of observations130
Missing cells3467
Missing cells (%)44.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory66.4 KiB
Average record size in memory523.0 B

Variable types

Categorical21
Text8
DateTime4
Unsupported17
Numeric10

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,지역구분명,총층수,주변환경명,제작취급품목내용,보험기관명,건물용도명,지상층수,지하층수,객실수,건축연면적,영문상호명,영문상호주소,선박총톤수,선박척수,선박제원,무대면적,좌석수,기념품종류,회의실별동시수용인원,시설면적,놀이기구수내역,놀이시설수,방송시설유무,발전시설유무,의무실유무,안내소유무,기획여행보험시작일자,기획여행보험종료일자,자본금,보험시작일자,보험종료일자,부대시설내역,시설규모
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-17605/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (86.7%)Imbalance
지하층수 is highly imbalanced (87.8%)Imbalance
객실수 is highly imbalanced (88.5%)Imbalance
건축연면적 is highly imbalanced (88.5%)Imbalance
영문상호주소 is highly imbalanced (74.6%)Imbalance
선박총톤수 is highly imbalanced (88.5%)Imbalance
선박척수 is highly imbalanced (88.5%)Imbalance
무대면적 is highly imbalanced (88.5%)Imbalance
좌석수 is highly imbalanced (88.5%)Imbalance
회의실별동시수용인원 is highly imbalanced (88.5%)Imbalance
놀이시설수 is highly imbalanced (88.5%)Imbalance
기획여행보험시작일자 is highly imbalanced (93.5%)Imbalance
기획여행보험종료일자 is highly imbalanced (93.5%)Imbalance
인허가취소일자 has 130 (100.0%) missing valuesMissing
폐업일자 has 102 (78.5%) missing valuesMissing
휴업시작일자 has 130 (100.0%) missing valuesMissing
휴업종료일자 has 130 (100.0%) missing valuesMissing
재개업일자 has 130 (100.0%) missing valuesMissing
전화번호 has 76 (58.5%) missing valuesMissing
소재지면적 has 130 (100.0%) missing valuesMissing
소재지우편번호 has 123 (94.6%) missing valuesMissing
업태구분명 has 130 (100.0%) missing valuesMissing
문화사업자구분명 has 130 (100.0%) missing valuesMissing
지역구분명 has 128 (98.5%) missing valuesMissing
주변환경명 has 130 (100.0%) missing valuesMissing
제작취급품목내용 has 130 (100.0%) missing valuesMissing
건물용도명 has 127 (97.7%) missing valuesMissing
지상층수 has 123 (94.6%) missing valuesMissing
영문상호명 has 117 (90.0%) missing valuesMissing
선박제원 has 130 (100.0%) missing valuesMissing
기념품종류 has 130 (100.0%) missing valuesMissing
시설면적 has 115 (88.5%) missing valuesMissing
놀이기구수내역 has 130 (100.0%) missing valuesMissing
방송시설유무 has 130 (100.0%) missing valuesMissing
발전시설유무 has 130 (100.0%) missing valuesMissing
의무실유무 has 130 (100.0%) missing valuesMissing
안내소유무 has 130 (100.0%) missing valuesMissing
자본금 has 76 (58.5%) missing valuesMissing
보험시작일자 has 77 (59.2%) missing valuesMissing
보험종료일자 has 77 (59.2%) missing valuesMissing
부대시설내역 has 130 (100.0%) missing valuesMissing
시설규모 has 115 (88.5%) 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
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지상층수 has 2 (1.5%) zerosZeros

Reproduction

Analysis started2024-05-11 01:14:44.493609
Analysis finished2024-05-11 01:14:46.301717
Duration1.81 second
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
130 

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 130
100.0%

Length

2024-05-11T01:14:46.500693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:14:46.791033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 130
100.0%

관리번호
Text

UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T01:14:47.351636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2600
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

Unique130 ?
Unique (%)100.0%

Sample

1st rowCDFI2260042007000001
2nd rowCDFI2260042008000001
3rd rowCDFI2260042008000002
4th rowCDFI2260042011000003
5th rowCDFI2260042011000004
ValueCountFrequency (%)
cdfi2260042007000001 1
 
0.8%
cdfi2260042022000005 1
 
0.8%
cdfi2260042022000003 1
 
0.8%
cdfi2260042022000002 1
 
0.8%
cdfi2260042022000001 1
 
0.8%
cdfi2260042021000016 1
 
0.8%
cdfi2260042021000015 1
 
0.8%
cdfi2260042021000014 1
 
0.8%
cdfi2260042021000013 1
 
0.8%
cdfi2260042021000012 1
 
0.8%
Other values (120) 120
92.3%
2024-05-11T01:14:48.819449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1012
38.9%
2 496
19.1%
6 154
 
5.9%
4 149
 
5.7%
1 148
 
5.7%
C 130
 
5.0%
D 130
 
5.0%
F 130
 
5.0%
I 130
 
5.0%
3 33
 
1.3%
Other values (4) 88
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2080
80.0%
Uppercase Letter 520
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1012
48.7%
2 496
23.8%
6 154
 
7.4%
4 149
 
7.2%
1 148
 
7.1%
3 33
 
1.6%
8 30
 
1.4%
7 25
 
1.2%
5 19
 
0.9%
9 14
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 130
25.0%
D 130
25.0%
F 130
25.0%
I 130
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2080
80.0%
Latin 520
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1012
48.7%
2 496
23.8%
6 154
 
7.4%
4 149
 
7.2%
1 148
 
7.1%
3 33
 
1.6%
8 30
 
1.4%
7 25
 
1.2%
5 19
 
0.9%
9 14
 
0.7%
Latin
ValueCountFrequency (%)
C 130
25.0%
D 130
25.0%
F 130
25.0%
I 130
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1012
38.9%
2 496
19.1%
6 154
 
5.9%
4 149
 
5.7%
1 148
 
5.7%
C 130
 
5.0%
D 130
 
5.0%
F 130
 
5.0%
I 130
 
5.0%
3 33
 
1.3%
Other values (4) 88
 
3.4%

인허가일자
Date

Distinct127
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1996-07-26 00:00:00
Maximum2024-04-05 00:00:00
2024-05-11T01:14:49.563769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:14:50.244306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
102 
3
18 
5
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 102
78.5%
3 18
 
13.8%
5 10
 
7.7%

Length

2024-05-11T01:14:50.713038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:14:51.169831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 102
78.5%
3 18
 
13.8%
5 10
 
7.7%

영업상태명
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
102 
폐업
18 
제외/삭제/전출
 
10

Length

Max length8
Median length5
Mean length4.8153846
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 102
78.5%
폐업 18
 
13.8%
제외/삭제/전출 10
 
7.7%

Length

2024-05-11T01:14:51.564188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:14:51.974617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 102
78.5%
폐업 18
 
13.8%
제외/삭제/전출 10
 
7.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
13
102 
3
18 
15
 
10

Length

Max length2
Median length2
Mean length1.8615385
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 102
78.5%
3 18
 
13.8%
15 10
 
7.7%

Length

2024-05-11T01:14:52.365760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:14:52.755815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 102
78.5%
3 18
 
13.8%
15 10
 
7.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업중
102 
폐업
18 
전출
 
10

Length

Max length3
Median length3
Mean length2.7846154
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 102
78.5%
폐업 18
 
13.8%
전출 10
 
7.7%

Length

2024-05-11T01:14:53.203794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:14:53.638491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 102
78.5%
폐업 18
 
13.8%
전출 10
 
7.7%

폐업일자
Date

MISSING 

Distinct28
Distinct (%)100.0%
Missing102
Missing (%)78.5%
Memory size1.1 KiB
Minimum2010-04-14 00:00:00
Maximum2024-03-20 00:00:00
2024-05-11T01:14:54.305060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:14:54.888642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

전화번호
Text

MISSING 

Distinct53
Distinct (%)98.1%
Missing76
Missing (%)58.5%
Memory size1.1 KiB
2024-05-11T01:14:55.472748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11
Min length8

Characters and Unicode

Total characters594
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

Unique52 ?
Unique (%)96.3%

Sample

1st row2298-0559
2nd row02-555-7515
3rd row02-585-9771
4th row02-380-5678
5th row070-7669-8773
ValueCountFrequency (%)
02-457-9860 2
 
3.7%
025322303 1
 
1.9%
070-8865-9299 1
 
1.9%
070-5147-6140 1
 
1.9%
07043522016 1
 
1.9%
02-455-8831 1
 
1.9%
02-453-1783 1
 
1.9%
02-69590714 1
 
1.9%
027330096 1
 
1.9%
029577800 1
 
1.9%
Other values (43) 43
79.6%
2024-05-11T01:14:56.591718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 95
16.0%
2 94
15.8%
- 80
13.5%
5 50
8.4%
9 47
7.9%
7 42
7.1%
1 40
6.7%
4 39
6.6%
8 37
 
6.2%
3 37
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 514
86.5%
Dash Punctuation 80
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 95
18.5%
2 94
18.3%
5 50
9.7%
9 47
9.1%
7 42
8.2%
1 40
7.8%
4 39
7.6%
8 37
 
7.2%
3 37
 
7.2%
6 33
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 594
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 95
16.0%
2 94
15.8%
- 80
13.5%
5 50
8.4%
9 47
7.9%
7 42
7.1%
1 40
6.7%
4 39
6.6%
8 37
 
6.2%
3 37
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 594
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 95
16.0%
2 94
15.8%
- 80
13.5%
5 50
8.4%
9 47
7.9%
7 42
7.1%
1 40
6.7%
4 39
6.6%
8 37
 
6.2%
3 37
 
6.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)85.7%
Missing123
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean133513.57
Minimum133030
Maximum133834
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T01:14:57.023344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum133030
5-th percentile133057
Q1133145
median133791
Q3133825
95-th percentile133834
Maximum133834
Range804
Interquartile range (IQR)680

Descriptive statistics

Standard deviation383.09262
Coefficient of variation (CV)0.0028693159
Kurtosis-2.6270487
Mean133513.57
Median Absolute Deviation (MAD)43
Skewness-0.41412339
Sum934595
Variance146759.95
MonotonicityNot monotonic
2024-05-11T01:14:57.449358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
133834 2
 
1.5%
133816 1
 
0.8%
133120 1
 
0.8%
133170 1
 
0.8%
133030 1
 
0.8%
133791 1
 
0.8%
(Missing) 123
94.6%
ValueCountFrequency (%)
133030 1
0.8%
133120 1
0.8%
133170 1
0.8%
133791 1
0.8%
133816 1
0.8%
133834 2
1.5%
ValueCountFrequency (%)
133834 2
1.5%
133816 1
0.8%
133791 1
0.8%
133170 1
0.8%
133120 1
0.8%
133030 1
0.8%

지번주소
Text

Distinct109
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T01:14:58.239344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length26.361538
Min length16

Characters and Unicode

Total characters3427
Distinct characters166
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)73.8%

Sample

1st row서울특별시 성동구 행당동 17번지
2nd row서울특별시 성동구 마장동 791-1번지
3rd row서울특별시 성동구 금호동4가 서울숲푸르지오아파트 상가동 401호 501호
4th row서울특별시 성동구 성수동2가 300-68번지 에이동 2층, 3층
5th row서울특별시 성동구 성수동2가 277-50번지 동성빌딩 409호
ValueCountFrequency (%)
서울특별시 130
20.7%
성동구 130
20.7%
성수동2가 44
 
7.0%
성수동1가 29
 
4.6%
도선동 16
 
2.5%
용답동 10
 
1.6%
서울숲 7
 
1.1%
삼진빌딩 7
 
1.1%
하왕십리동 6
 
1.0%
행당동 6
 
1.0%
Other values (173) 244
38.8%
2024-05-11T01:14:59.614373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
560
 
16.3%
동 266
 
7.8%
성 215
 
6.3%
2 145
 
4.2%
울 141
 
4.1%
서 141
 
4.1%
시 131
 
3.8%
별 131
 
3.8%
구 131
 
3.8%
특 130
 
3.8%
Other values (156) 1436
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2007
58.6%
Decimal Number 671
 
19.6%
Space Separator 560
 
16.3%
Dash Punctuation 113
 
3.3%
Uppercase Letter 45
 
1.3%
Lowercase Letter 25
 
0.7%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Other Punctuation 1
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 266
13.3%
성 215
 
10.7%
울 141
 
7.0%
서 141
 
7.0%
시 131
 
6.5%
별 131
 
6.5%
구 131
 
6.5%
특 130
 
6.5%
수 86
 
4.3%
가 80
 
4.0%
Other values (114) 555
27.7%
Uppercase Letter
ValueCountFrequency (%)
T 9
20.0%
M 5
11.1%
K 4
8.9%
E 3
 
6.7%
C 3
 
6.7%
A 3
 
6.7%
I 3
 
6.7%
O 2
 
4.4%
R 2
 
4.4%
U 2
 
4.4%
Other values (7) 9
20.0%
Decimal Number
ValueCountFrequency (%)
2 145
21.6%
1 119
17.7%
6 71
10.6%
3 70
10.4%
7 59
8.8%
5 55
 
8.2%
0 52
 
7.7%
8 42
 
6.3%
9 29
 
4.3%
4 29
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
o 6
24.0%
r 5
20.0%
e 5
20.0%
w 4
16.0%
a 1
 
4.0%
t 1
 
4.0%
m 1
 
4.0%
p 1
 
4.0%
h 1
 
4.0%
Space Separator
ValueCountFrequency (%)
560
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2007
58.6%
Common 1349
39.4%
Latin 71
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 266
13.3%
성 215
 
10.7%
울 141
 
7.0%
서 141
 
7.0%
시 131
 
6.5%
별 131
 
6.5%
구 131
 
6.5%
특 130
 
6.5%
수 86
 
4.3%
가 80
 
4.0%
Other values (114) 555
27.7%
Latin
ValueCountFrequency (%)
T 9
 
12.7%
o 6
 
8.5%
M 5
 
7.0%
r 5
 
7.0%
e 5
 
7.0%
w 4
 
5.6%
K 4
 
5.6%
E 3
 
4.2%
C 3
 
4.2%
A 3
 
4.2%
Other values (17) 24
33.8%
Common
ValueCountFrequency (%)
560
41.5%
2 145
 
10.7%
1 119
 
8.8%
- 113
 
8.4%
6 71
 
5.3%
3 70
 
5.2%
7 59
 
4.4%
5 55
 
4.1%
0 52
 
3.9%
8 42
 
3.1%
Other values (5) 63
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2007
58.6%
ASCII 1419
41.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
560
39.5%
2 145
 
10.2%
1 119
 
8.4%
- 113
 
8.0%
6 71
 
5.0%
3 70
 
4.9%
7 59
 
4.2%
5 55
 
3.9%
0 52
 
3.7%
8 42
 
3.0%
Other values (31) 133
 
9.4%
Hangul
ValueCountFrequency (%)
동 266
13.3%
성 215
 
10.7%
울 141
 
7.0%
서 141
 
7.0%
시 131
 
6.5%
별 131
 
6.5%
구 131
 
6.5%
특 130
 
6.5%
수 86
 
4.3%
가 80
 
4.0%
Other values (114) 555
27.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명주소
Text

Distinct129
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T01:15:00.587194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length44
Mean length38.353846
Min length23

Characters and Unicode

Total characters4986
Distinct characters195
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)98.5%

Sample

1st row서울특별시 성동구 살곶이길 200 (행당동, 행원스퀘어)
2nd row서울특별시 성동구 마장로 302 (마장동)
3rd row서울특별시 성동구 금호로 15, 401/501호 (금호동4가, 서울숲푸르지오아파트)
4th row서울특별시 성동구 아차산로 77, A동 2,3층 (성수동2가)
5th row서울특별시 성동구 아차산로11길 11, 409호 (성수동2가, 동성빌딩)
ValueCountFrequency (%)
서울특별시 130
 
13.8%
성동구 130
 
13.8%
성수동2가 44
 
4.7%
성수동1가 29
 
3.1%
왕십리로 20
 
2.1%
아차산로 18
 
1.9%
2층 16
 
1.7%
도선동 16
 
1.7%
3층 11
 
1.2%
용답동 10
 
1.1%
Other values (298) 516
54.9%
2024-05-11T01:15:01.843539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
812
 
16.3%
동 280
 
5.6%
1 247
 
5.0%
성 241
 
4.8%
, 162
 
3.2%
서 148
 
3.0%
2 146
 
2.9%
울 145
 
2.9%
시 139
 
2.8%
) 132
 
2.6%
Other values (185) 2534
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2721
54.6%
Decimal Number 893
 
17.9%
Space Separator 812
 
16.3%
Other Punctuation 163
 
3.3%
Close Punctuation 132
 
2.6%
Open Punctuation 132
 
2.6%
Uppercase Letter 68
 
1.4%
Lowercase Letter 37
 
0.7%
Dash Punctuation 27
 
0.5%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 280
 
10.3%
성 241
 
8.9%
서 148
 
5.4%
울 145
 
5.3%
시 139
 
5.1%
구 131
 
4.8%
별 131
 
4.8%
특 130
 
4.8%
수 110
 
4.0%
로 109
 
4.0%
Other values (140) 1157
42.5%
Uppercase Letter
ValueCountFrequency (%)
T 14
20.6%
R 6
8.8%
A 6
8.8%
M 5
 
7.4%
K 5
 
7.4%
E 4
 
5.9%
I 4
 
5.9%
O 4
 
5.9%
U 3
 
4.4%
S 3
 
4.4%
Other values (9) 14
20.6%
Decimal Number
ValueCountFrequency (%)
1 247
27.7%
2 146
16.3%
0 99
11.1%
3 92
 
10.3%
5 62
 
6.9%
4 62
 
6.9%
8 59
 
6.6%
7 53
 
5.9%
6 46
 
5.2%
9 27
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
o 9
24.3%
r 8
21.6%
e 8
21.6%
w 7
18.9%
t 1
 
2.7%
a 1
 
2.7%
m 1
 
2.7%
p 1
 
2.7%
h 1
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 162
99.4%
/ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
812
100.0%
Close Punctuation
ValueCountFrequency (%)
) 132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2721
54.6%
Common 2159
43.3%
Latin 106
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 280
 
10.3%
성 241
 
8.9%
서 148
 
5.4%
울 145
 
5.3%
시 139
 
5.1%
구 131
 
4.8%
별 131
 
4.8%
특 130
 
4.8%
수 110
 
4.0%
로 109
 
4.0%
Other values (140) 1157
42.5%
Latin
ValueCountFrequency (%)
T 14
13.2%
o 9
 
8.5%
r 8
 
7.5%
e 8
 
7.5%
w 7
 
6.6%
R 6
 
5.7%
A 6
 
5.7%
M 5
 
4.7%
K 5
 
4.7%
E 4
 
3.8%
Other values (19) 34
32.1%
Common
ValueCountFrequency (%)
812
37.6%
1 247
 
11.4%
, 162
 
7.5%
2 146
 
6.8%
) 132
 
6.1%
( 132
 
6.1%
0 99
 
4.6%
3 92
 
4.3%
5 62
 
2.9%
4 62
 
2.9%
Other values (6) 213
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2721
54.6%
ASCII 2264
45.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
812
35.9%
1 247
 
10.9%
, 162
 
7.2%
2 146
 
6.4%
) 132
 
5.8%
( 132
 
5.8%
0 99
 
4.4%
3 92
 
4.1%
5 62
 
2.7%
4 62
 
2.7%
Other values (34) 318
 
14.0%
Hangul
ValueCountFrequency (%)
동 280
 
10.3%
성 241
 
8.9%
서 148
 
5.4%
울 145
 
5.3%
시 139
 
5.1%
구 131
 
4.8%
별 131
 
4.8%
특 130
 
4.8%
수 110
 
4.0%
로 109
 
4.0%
Other values (140) 1157
42.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

Distinct48
Distinct (%)37.2%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean6761.9922
Minimum4701
Maximum133816
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T01:15:02.284068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4701
5-th percentile4707.4
Q14736
median4781
Q34794
95-th percentile4808
Maximum133816
Range129115
Interquartile range (IQR)58

Descriptive statistics

Standard deviation15962.571
Coefficient of variation (CV)2.3606313
Kurtosis61.938009
Mean6761.9922
Median Absolute Deviation (MAD)16
Skewness7.9358078
Sum872297
Variance2.5480367 × 108
MonotonicityNot monotonic
2024-05-11T01:15:02.776143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
4709 14
 
10.8%
4793 9
 
6.9%
4794 9
 
6.9%
4797 8
 
6.2%
4808 8
 
6.2%
4779 7
 
5.4%
4788 4
 
3.1%
4783 4
 
3.1%
4781 4
 
3.1%
4701 4
 
3.1%
Other values (38) 58
44.6%
ValueCountFrequency (%)
4701 4
 
3.1%
4707 3
 
2.3%
4708 1
 
0.8%
4709 14
10.8%
4714 3
 
2.3%
4718 1
 
0.8%
4725 1
 
0.8%
4728 2
 
1.5%
4734 2
 
1.5%
4735 1
 
0.8%
ValueCountFrequency (%)
133816 1
 
0.8%
133120 1
 
0.8%
4808 8
6.2%
4805 1
 
0.8%
4804 1
 
0.8%
4802 1
 
0.8%
4801 1
 
0.8%
4799 2
 
1.5%
4797 8
6.2%
4795 1
 
0.8%

사업장명
Text

UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T01:15:03.471810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length18
Mean length9.5384615
Min length2

Characters and Unicode

Total characters1240
Distinct characters248
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

Unique130 ?
Unique (%)100.0%

Sample

1st row(주)인디고에스앤티
2nd row(주) 라스코엔터테인먼트
3rd row(주)씨케이글로벌파트너스
4th row(주)에이앤에이 컴퍼니
5th row(주)맥투어
ValueCountFrequency (%)
주식회사 47
 
23.4%
여행사 2
 
1.0%
ltd 2
 
1.0%
co 2
 
1.0%
tour 2
 
1.0%
trip 2
 
1.0%
투어 2
 
1.0%
펀데이코리아네트웍스 1
 
0.5%
이글스인터내셔날 1
 
0.5%
브이아이피무역 1
 
0.5%
Other values (139) 139
69.2%
2024-05-11T01:15:04.591419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 97
 
7.8%
71
 
5.7%
사 58
 
4.7%
( 56
 
4.5%
) 56
 
4.5%
회 48
 
3.9%
식 48
 
3.9%
이 42
 
3.4%
어 32
 
2.6%
스 31
 
2.5%
Other values (238) 701
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 987
79.6%
Space Separator 71
 
5.7%
Open Punctuation 56
 
4.5%
Close Punctuation 56
 
4.5%
Lowercase Letter 32
 
2.6%
Uppercase Letter 31
 
2.5%
Other Punctuation 6
 
0.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 97
 
9.8%
사 58
 
5.9%
회 48
 
4.9%
식 48
 
4.9%
이 42
 
4.3%
어 32
 
3.2%
스 31
 
3.1%
투 30
 
3.0%
트 22
 
2.2%
코 18
 
1.8%
Other values (200) 561
56.8%
Uppercase Letter
ValueCountFrequency (%)
T 6
19.4%
C 3
9.7%
K 2
 
6.5%
O 2
 
6.5%
A 2
 
6.5%
I 2
 
6.5%
Y 2
 
6.5%
L 2
 
6.5%
R 2
 
6.5%
M 1
 
3.2%
Other values (7) 7
22.6%
Lowercase Letter
ValueCountFrequency (%)
i 4
12.5%
o 4
12.5%
a 3
9.4%
n 3
9.4%
r 3
9.4%
d 2
 
6.2%
t 2
 
6.2%
u 2
 
6.2%
e 2
 
6.2%
g 2
 
6.2%
Other values (5) 5
15.6%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
, 2
33.3%
Space Separator
ValueCountFrequency (%)
71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 987
79.6%
Common 190
 
15.3%
Latin 63
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 97
 
9.8%
사 58
 
5.9%
회 48
 
4.9%
식 48
 
4.9%
이 42
 
4.3%
어 32
 
3.2%
스 31
 
3.1%
투 30
 
3.0%
트 22
 
2.2%
코 18
 
1.8%
Other values (200) 561
56.8%
Latin
ValueCountFrequency (%)
T 6
 
9.5%
i 4
 
6.3%
o 4
 
6.3%
C 3
 
4.8%
a 3
 
4.8%
n 3
 
4.8%
r 3
 
4.8%
K 2
 
3.2%
O 2
 
3.2%
A 2
 
3.2%
Other values (22) 31
49.2%
Common
ValueCountFrequency (%)
71
37.4%
( 56
29.5%
) 56
29.5%
. 4
 
2.1%
, 2
 
1.1%
- 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 987
79.6%
ASCII 253
 
20.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 97
 
9.8%
사 58
 
5.9%
회 48
 
4.9%
식 48
 
4.9%
이 42
 
4.3%
어 32
 
3.2%
스 31
 
3.1%
투 30
 
3.0%
트 22
 
2.2%
코 18
 
1.8%
Other values (200) 561
56.8%
ASCII
ValueCountFrequency (%)
71
28.1%
( 56
22.1%
) 56
22.1%
T 6
 
2.4%
. 4
 
1.6%
i 4
 
1.6%
o 4
 
1.6%
C 3
 
1.2%
a 3
 
1.2%
n 3
 
1.2%
Other values (28) 43
17.0%

최종수정일자
Date

UNIQUE 

Distinct130
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2014-01-06 10:36:23
Maximum2024-05-01 11:21:37
2024-05-11T01:15:05.021850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:15:05.509798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
U
82 
I
48 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 82
63.1%
I 48
36.9%

Length

2024-05-11T01:15:05.884985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:06.221586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 82
63.1%
i 48
36.9%

데이터갱신일자
Date

Distinct92
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-11T01:15:06.551546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:15:06.881501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(X)
Real number (ℝ)

Distinct88
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204030.15
Minimum201043.72
Maximum206033.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T01:15:07.290859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201043.72
5-th percentile201923.02
Q1203077.75
median204213.93
Q3204946.05
95-th percentile205643.78
Maximum206033.91
Range4990.1911
Interquartile range (IQR)1868.2961

Descriptive statistics

Standard deviation1126.1437
Coefficient of variation (CV)0.0055194963
Kurtosis-0.20849082
Mean204030.15
Median Absolute Deviation (MAD)752.16733
Skewness-0.57736475
Sum26523920
Variance1268199.6
MonotonicityNot monotonic
2024-05-11T01:15:07.740746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204966.098616157 7
 
5.4%
204743.677915464 6
 
4.6%
205039.907145725 6
 
4.6%
203077.751686799 5
 
3.8%
204213.931288501 4
 
3.1%
202932.381982673 4
 
3.1%
202372.912023599 3
 
2.3%
205861.778324251 2
 
1.5%
203820.225446855 2
 
1.5%
203887.185047227 2
 
1.5%
Other values (78) 89
68.5%
ValueCountFrequency (%)
201043.718532912 1
 
0.8%
201222.07429303 1
 
0.8%
201236.441185807 2
1.5%
201743.064111819 1
 
0.8%
201766.22830368 1
 
0.8%
201786.09956814 1
 
0.8%
202090.373459 1
 
0.8%
202310.024153 1
 
0.8%
202326.470897024 1
 
0.8%
202372.912023599 3
2.3%
ValueCountFrequency (%)
206033.909589487 1
0.8%
205948.345792507 2
1.5%
205861.778324251 2
1.5%
205784.868811814 1
0.8%
205653.518739956 1
0.8%
205631.873024087 1
0.8%
205526.575000919 1
0.8%
205525.616970821 1
0.8%
205266.060664976 1
0.8%
205225.383955255 1
0.8%

좌표정보(Y)
Real number (ℝ)

Distinct88
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449911.83
Minimum448417.39
Maximum451877.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T01:15:08.200991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448417.39
5-th percentile448746.1
Q1449159.45
median449482.76
Q3451031.09
95-th percentile451527.6
Maximum451877.54
Range3460.1507
Interquartile range (IQR)1871.6385

Descriptive statistics

Standard deviation988.55484
Coefficient of variation (CV)0.002197219
Kurtosis-1.3332407
Mean449911.83
Median Absolute Deviation (MAD)558.10502
Skewness0.46893392
Sum58488538
Variance977240.67
MonotonicityNot monotonic
2024-05-11T01:15:08.705601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449159.452779834 7
 
5.4%
449357.9464135 6
 
4.6%
449216.223655036 6
 
4.6%
451121.27351231 5
 
3.8%
449363.057036726 4
 
3.1%
451169.524277434 4
 
3.1%
451536.680876573 3
 
2.3%
450912.302558818 2
 
1.5%
449605.252052989 2
 
1.5%
449860.057407228 2
 
1.5%
Other values (78) 89
68.5%
ValueCountFrequency (%)
448417.392376904 1
0.8%
448508.756036449 1
0.8%
448607.441251647 1
0.8%
448614.910605472 1
0.8%
448659.767345547 1
0.8%
448669.043360044 1
0.8%
448746.104640885 2
1.5%
448746.329177094 1
0.8%
448765.977811344 1
0.8%
448770.592460467 1
0.8%
ValueCountFrequency (%)
451877.543072968 1
 
0.8%
451759.214386348 1
 
0.8%
451594.707188 1
 
0.8%
451575.062547164 1
 
0.8%
451536.680876573 3
2.3%
451516.50162675 1
 
0.8%
451480.404421255 1
 
0.8%
451471.074866899 1
 
0.8%
451405.183612375 2
1.5%
451360.00360008 1
 
0.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
67 
종합여행업
63 

Length

Max length5
Median length4
Mean length4.4846154
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 67
51.5%
종합여행업 63
48.5%

Length

2024-05-11T01:15:09.143842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:09.437403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
51.5%
종합여행업 63
48.5%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing128
Missing (%)98.5%
Memory size1.1 KiB
2024-05-11T01:15:09.766378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length5.5
Min length5

Characters and Unicode

Total characters11
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 (%)100.0%

Sample

1st row준공업지역
2nd row일반상업지역
ValueCountFrequency (%)
준공업지역 1
50.0%
일반상업지역 1
50.0%
2024-05-11T01:15:10.978503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 2
18.2%
지 2
18.2%
역 2
18.2%
준 1
9.1%
공 1
9.1%
일 1
9.1%
반 1
9.1%
상 1
9.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 2
18.2%
지 2
18.2%
역 2
18.2%
준 1
9.1%
공 1
9.1%
일 1
9.1%
반 1
9.1%
상 1
9.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 2
18.2%
지 2
18.2%
역 2
18.2%
준 1
9.1%
공 1
9.1%
일 1
9.1%
반 1
9.1%
상 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 2
18.2%
지 2
18.2%
역 2
18.2%
준 1
9.1%
공 1
9.1%
일 1
9.1%
반 1
9.1%
상 1
9.1%

총층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
125 
0
 
2
6
 
1
4
 
1
23
 
1

Length

Max length4
Median length4
Mean length3.8923077
Min length1

Unique

Unique3 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 125
96.2%
0 2
 
1.5%
6 1
 
0.8%
4 1
 
0.8%
23 1
 
0.8%

Length

2024-05-11T01:15:11.578757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:12.169656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 125
96.2%
0 2
 
1.5%
6 1
 
0.8%
4 1
 
0.8%
23 1
 
0.8%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

보험기관명
Categorical

Distinct22
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
78 
서울보증보험
8 
서울보증보험주식회사(5천만원)
 
7
한국관광협회중앙회 여행공제회
 
6
서울보증보험주식회사
 
6
Other values (17)
25 

Length

Max length21
Median length4
Mean length7.1538462
Min length4

Unique

Unique14 ?
Unique (%)10.8%

Sample

1st row한국관광협회중앙회 관광공제회
2nd row<NA>
3rd row서울보증보험주식회사(5천만원)
4th row서울보증보험주식회사(5천만원)
5th row여행공제회

Common Values

ValueCountFrequency (%)
<NA> 78
60.0%
서울보증보험 8
 
6.2%
서울보증보험주식회사(5천만원) 7
 
5.4%
한국관광협회중앙회 여행공제회 6
 
4.6%
서울보증보험주식회사 6
 
4.6%
서울보증보험(5천만원) 5
 
3.8%
서울보증보험주식회사(6천5백만) 3
 
2.3%
한국관광협회중앙회 3
 
2.3%
한국관광협회중앙회여행공제회 1
 
0.8%
여행공제회 1
 
0.8%
Other values (12) 12
 
9.2%

Length

2024-05-11T01:15:12.708609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 78
55.7%
한국관광협회중앙회 10
 
7.1%
서울보증보험 9
 
6.4%
여행공제회 8
 
5.7%
서울보증보험주식회사(5천만원 7
 
5.0%
서울보증보험주식회사 6
 
4.3%
서울보증보험(5천만원 5
 
3.6%
서울보증보험주식회사(6천5백만 3
 
2.1%
5천만원 2
 
1.4%
sgi 1
 
0.7%
Other values (11) 11
 
7.9%

건물용도명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing127
Missing (%)97.7%
Memory size1.1 KiB
2024-05-11T01:15:13.280815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length4
Min length3

Characters and Unicode

Total characters12
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row사무실
2nd row근린생활시설
3rd row사무실
ValueCountFrequency (%)
사무실 2
66.7%
근린생활시설 1
33.3%
2024-05-11T01:15:14.585077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2
16.7%
무 2
16.7%
실 2
16.7%
근 1
8.3%
린 1
8.3%
생 1
8.3%
활 1
8.3%
시 1
8.3%
설 1
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2
16.7%
무 2
16.7%
실 2
16.7%
근 1
8.3%
린 1
8.3%
생 1
8.3%
활 1
8.3%
시 1
8.3%
설 1
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2
16.7%
무 2
16.7%
실 2
16.7%
근 1
8.3%
린 1
8.3%
생 1
8.3%
활 1
8.3%
시 1
8.3%
설 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2
16.7%
무 2
16.7%
실 2
16.7%
근 1
8.3%
린 1
8.3%
생 1
8.3%
활 1
8.3%
시 1
8.3%
설 1
8.3%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)85.7%
Missing123
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean8.7142857
Minimum0
Maximum29
Zeros2
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T01:15:15.226835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median4
Q313.5
95-th percentile25.4
Maximum29
Range29
Interquartile range (IQR)13

Descriptive statistics

Standard deviation10.91962
Coefficient of variation (CV)1.2530711
Kurtosis0.82405263
Mean8.7142857
Median Absolute Deviation (MAD)4
Skewness1.2600718
Sum61
Variance119.2381
MonotonicityNot monotonic
2024-05-11T01:15:15.556848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 2
 
1.5%
10 1
 
0.8%
1 1
 
0.8%
29 1
 
0.8%
4 1
 
0.8%
17 1
 
0.8%
(Missing) 123
94.6%
ValueCountFrequency (%)
0 2
1.5%
1 1
0.8%
4 1
0.8%
10 1
0.8%
17 1
0.8%
29 1
0.8%
ValueCountFrequency (%)
29 1
0.8%
17 1
0.8%
10 1
0.8%
4 1
0.8%
1 1
0.8%
0 2
1.5%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
126 
0
 
2
4
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.9076923
Min length1

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 126
96.9%
0 2
 
1.5%
4 1
 
0.8%
6 1
 
0.8%

Length

2024-05-11T01:15:16.013298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:16.440776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 126
96.9%
0 2
 
1.5%
4 1
 
0.8%
6 1
 
0.8%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
128 
0
 
2

Length

Max length4
Median length4
Mean length3.9538462
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> 128
98.5%
0 2
 
1.5%

Length

2024-05-11T01:15:16.879064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:17.252197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 128
98.5%
0 2
 
1.5%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
128 
0
 
2

Length

Max length4
Median length4
Mean length3.9538462
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> 128
98.5%
0 2
 
1.5%

Length

2024-05-11T01:15:17.679884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:18.149152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 128
98.5%
0 2
 
1.5%

영문상호명
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing117
Missing (%)90.0%
Memory size1.1 KiB
2024-05-11T01:15:18.483518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length16.538462
Min length6

Characters and Unicode

Total characters215
Distinct characters42
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)100.0%

Sample

1st rowMECTOUR Co.,Ltd.
2nd rowK POP TOUR
3rd rowHMNWORLDWIDE CO.,LTD.
4th rowTA TA TA TOUR CO., Ltd.
5th rowMido Kukje Co., Ltd.
ValueCountFrequency (%)
co 6
15.4%
ltd 6
15.4%
tour 3
 
7.7%
ta 3
 
7.7%
co.,ltd 2
 
5.1%
mectour 1
 
2.6%
urisai 1
 
2.6%
ddnayo 1
 
2.6%
chungyen 1
 
2.6%
study 1
 
2.6%
Other values (14) 14
35.9%
2024-05-11T01:15:19.705469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
12.6%
. 17
 
7.9%
T 16
 
7.4%
C 12
 
5.6%
O 12
 
5.6%
L 9
 
4.2%
d 9
 
4.2%
U 8
 
3.7%
o 8
 
3.7%
, 8
 
3.7%
Other values (32) 89
41.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 107
49.8%
Lowercase Letter 55
25.6%
Space Separator 27
 
12.6%
Other Punctuation 26
 
12.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 16
15.0%
C 12
11.2%
O 12
11.2%
L 9
 
8.4%
U 8
 
7.5%
R 7
 
6.5%
E 6
 
5.6%
N 5
 
4.7%
D 5
 
4.7%
A 4
 
3.7%
Other values (11) 23
21.5%
Lowercase Letter
ValueCountFrequency (%)
d 9
16.4%
o 8
14.5%
t 6
10.9%
n 5
9.1%
i 4
7.3%
a 4
7.3%
h 3
 
5.5%
e 3
 
5.5%
u 2
 
3.6%
y 2
 
3.6%
Other values (7) 9
16.4%
Other Punctuation
ValueCountFrequency (%)
. 17
65.4%
, 8
30.8%
& 1
 
3.8%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 162
75.3%
Common 53
 
24.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 16
 
9.9%
C 12
 
7.4%
O 12
 
7.4%
L 9
 
5.6%
d 9
 
5.6%
U 8
 
4.9%
o 8
 
4.9%
R 7
 
4.3%
t 6
 
3.7%
E 6
 
3.7%
Other values (28) 69
42.6%
Common
ValueCountFrequency (%)
27
50.9%
. 17
32.1%
, 8
 
15.1%
& 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 215
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
 
12.6%
. 17
 
7.9%
T 16
 
7.4%
C 12
 
5.6%
O 12
 
5.6%
L 9
 
4.2%
d 9
 
4.2%
U 8
 
3.7%
o 8
 
3.7%
, 8
 
3.7%
Other values (32) 89
41.4%

영문상호주소
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
117 
GENERAL TRAVEL BUSINESS
 
7
General travel industry business
 
2
General Travel Business
 
2
General Travel Agency
 
1

Length

Max length32
Median length4
Mean length6.0230769
Min length4

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 117
90.0%
GENERAL TRAVEL BUSINESS 7
 
5.4%
General travel industry business 2
 
1.5%
General Travel Business 2
 
1.5%
General Travel Agency 1
 
0.8%
General travel business 1
 
0.8%

Length

2024-05-11T01:15:20.284005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:20.805363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 117
74.1%
general 13
 
8.2%
travel 13
 
8.2%
business 12
 
7.6%
industry 2
 
1.3%
agency 1
 
0.6%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
128 
0
 
2

Length

Max length4
Median length4
Mean length3.9538462
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> 128
98.5%
0 2
 
1.5%

Length

2024-05-11T01:15:21.409255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:21.859024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 128
98.5%
0 2
 
1.5%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
128 
0
 
2

Length

Max length4
Median length4
Mean length3.9538462
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> 128
98.5%
0 2
 
1.5%

Length

2024-05-11T01:15:22.319910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:22.744520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 128
98.5%
0 2
 
1.5%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
128 
0
 
2

Length

Max length4
Median length4
Mean length3.9538462
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> 128
98.5%
0 2
 
1.5%

Length

2024-05-11T01:15:23.328988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:23.870434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 128
98.5%
0 2
 
1.5%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
128 
0
 
2

Length

Max length4
Median length4
Mean length3.9538462
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> 128
98.5%
0 2
 
1.5%

Length

2024-05-11T01:15:24.359343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:24.760932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 128
98.5%
0 2
 
1.5%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
128 
0
 
2

Length

Max length4
Median length4
Mean length3.9538462
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> 128
98.5%
0 2
 
1.5%

Length

2024-05-11T01:15:25.220079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:25.610544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 128
98.5%
0 2
 
1.5%

시설면적
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing115
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean91.056
Minimum0
Maximum314.05
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T01:15:25.918247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q112.715
median45.6
Q3144.785
95-th percentile300.715
Maximum314.05
Range314.05
Interquartile range (IQR)132.07

Descriptive statistics

Standard deviation105.33854
Coefficient of variation (CV)1.1568545
Kurtosis0.37617466
Mean91.056
Median Absolute Deviation (MAD)39
Skewness1.2372956
Sum1365.84
Variance11096.208
MonotonicityNot monotonic
2024-05-11T01:15:26.439047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
314.05 1
 
0.8%
295.0 1
 
0.8%
45.6 1
 
0.8%
156.62 1
 
0.8%
132.95 1
 
0.8%
198.0 1
 
0.8%
8.9 1
 
0.8%
43.05 1
 
0.8%
6.6 1
 
0.8%
0.0 1
 
0.8%
Other values (5) 5
 
3.8%
(Missing) 115
88.5%
ValueCountFrequency (%)
0.0 1
0.8%
3.0 1
0.8%
6.6 1
0.8%
8.9 1
0.8%
16.53 1
0.8%
24.0 1
0.8%
43.05 1
0.8%
45.6 1
0.8%
47.48 1
0.8%
74.06 1
0.8%
ValueCountFrequency (%)
314.05 1
0.8%
295.0 1
0.8%
198.0 1
0.8%
156.62 1
0.8%
132.95 1
0.8%
74.06 1
0.8%
47.48 1
0.8%
45.6 1
0.8%
43.05 1
0.8%
24.0 1
0.8%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
128 
0
 
2

Length

Max length4
Median length4
Mean length3.9538462
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> 128
98.5%
0 2
 
1.5%

Length

2024-05-11T01:15:26.925898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:27.279579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 128
98.5%
0 2
 
1.5%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

기획여행보험시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
129 
20151111
 
1

Length

Max length8
Median length4
Mean length4.0307692
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 129
99.2%
20151111 1
 
0.8%

Length

2024-05-11T01:15:27.736025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:28.215463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 129
99.2%
20151111 1
 
0.8%

기획여행보험종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
129 
20161110
 
1

Length

Max length8
Median length4
Mean length4.0307692
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 129
99.2%
20161110 1
 
0.8%

Length

2024-05-11T01:15:28.693659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:15:29.059149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 129
99.2%
20161110 1
 
0.8%

자본금
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)38.9%
Missing76
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean3.2305206 × 109
Minimum50000000
Maximum1.393791 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T01:15:29.442075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50000000
5-th percentile1 × 108
Q11 × 108
median2 × 108
Q32.7700981 × 108
95-th percentile1.6392582 × 109
Maximum1.393791 × 1011
Range1.393291 × 1011
Interquartile range (IQR)1.7700981 × 108

Descriptive statistics

Standard deviation1.9098102 × 1010
Coefficient of variation (CV)5.9117722
Kurtosis51.416119
Mean3.2305206 × 109
Median Absolute Deviation (MAD)1 × 108
Skewness7.11179
Sum1.7444811 × 1011
Variance3.6473748 × 1020
MonotonicityNot monotonic
2024-05-11T01:15:29.916904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
100000000 17
 
13.1%
200000000 16
 
12.3%
300000000 2
 
1.5%
350000000 2
 
1.5%
480000000 1
 
0.8%
110000000 1
 
0.8%
50000000 1
 
0.8%
670000000 1
 
0.8%
1823595000 1
 
0.8%
194745220 1
 
0.8%
Other values (11) 11
 
8.5%
(Missing) 76
58.5%
ValueCountFrequency (%)
50000000 1
 
0.8%
100000000 17
13.1%
103673776 1
 
0.8%
110000000 1
 
0.8%
110654000 1
 
0.8%
194745220 1
 
0.8%
200000000 16
12.3%
209708260 1
 
0.8%
250000000 1
 
0.8%
286013080 1
 
0.8%
ValueCountFrequency (%)
139379095000 1
0.8%
21430626046 1
0.8%
1823595000 1
0.8%
1540000000 1
0.8%
770000000 1
0.8%
670000000 1
0.8%
520000000 1
0.8%
480000000 1
0.8%
350000000 2
1.5%
320000000 1
0.8%

보험시작일자
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)98.1%
Missing77
Missing (%)59.2%
Infinite0
Infinite (%)0.0%
Mean20171442
Minimum20100412
Maximum20211110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T01:15:30.633996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100412
5-th percentile20130381
Q120160926
median20170808
Q320190607
95-th percentile20200351
Maximum20211110
Range110698
Interquartile range (IQR)29681

Descriptive statistics

Standard deviation22836.815
Coefficient of variation (CV)0.0011321359
Kurtosis0.78235515
Mean20171442
Median Absolute Deviation (MAD)19593
Skewness-0.81013705
Sum1.0690864 × 109
Variance5.215201 × 108
MonotonicityNot monotonic
2024-05-11T01:15:31.195889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161021 2
 
1.5%
20170216 1
 
0.8%
20181211 1
 
0.8%
20170403 1
 
0.8%
20171113 1
 
0.8%
20160620 1
 
0.8%
20161122 1
 
0.8%
20190401 1
 
0.8%
20180530 1
 
0.8%
20180621 1
 
0.8%
Other values (42) 42
32.3%
(Missing) 77
59.2%
ValueCountFrequency (%)
20100412 1
0.8%
20121116 1
0.8%
20130326 1
0.8%
20130417 1
0.8%
20140224 1
0.8%
20140228 1
0.8%
20140515 1
0.8%
20140708 1
0.8%
20150430 1
0.8%
20160223 1
0.8%
ValueCountFrequency (%)
20211110 1
0.8%
20210601 1
0.8%
20200703 1
0.8%
20200117 1
0.8%
20191218 1
0.8%
20191114 1
0.8%
20191031 1
0.8%
20191023 1
0.8%
20190915 1
0.8%
20190910 1
0.8%

보험종료일자
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)98.1%
Missing77
Missing (%)59.2%
Infinite0
Infinite (%)0.0%
Mean20181435
Minimum20110412
Maximum20221110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T01:15:31.728149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110412
5-th percentile20140380
Q120170926
median20180807
Q320200607
95-th percentile20210350
Maximum20221110
Range110698
Interquartile range (IQR)29681

Descriptive statistics

Standard deviation22832.328
Coefficient of variation (CV)0.0011313531
Kurtosis0.78273839
Mean20181435
Median Absolute Deviation (MAD)19524
Skewness-0.81047775
Sum1.0696161 × 109
Variance5.2131522 × 108
MonotonicityNot monotonic
2024-05-11T01:15:32.351820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200607 2
 
1.5%
20221110 1
 
0.8%
20220531 1
 
0.8%
20200909 1
 
0.8%
20180215 1
 
0.8%
20191210 1
 
0.8%
20180402 1
 
0.8%
20181112 1
 
0.8%
20170619 1
 
0.8%
20171122 1
 
0.8%
Other values (42) 42
32.3%
(Missing) 77
59.2%
ValueCountFrequency (%)
20110412 1
0.8%
20131116 1
0.8%
20140325 1
0.8%
20140417 1
0.8%
20150223 1
0.8%
20150227 1
0.8%
20150514 1
0.8%
20150708 1
0.8%
20160429 1
0.8%
20170222 1
0.8%
ValueCountFrequency (%)
20221110 1
0.8%
20220531 1
0.8%
20210702 1
0.8%
20210116 1
0.8%
20201217 1
0.8%
20201113 1
0.8%
20201031 1
0.8%
20201023 1
0.8%
20200915 1
0.8%
20200909 1
0.8%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing130
Missing (%)100.0%
Memory size1.3 KiB

시설규모
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing115
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean91.133333
Minimum0
Maximum314
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T01:15:32.885531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q113
median46
Q3145
95-th percentile300.7
Maximum314
Range314
Interquartile range (IQR)132

Descriptive statistics

Standard deviation105.30152
Coefficient of variation (CV)1.1554665
Kurtosis0.37386532
Mean91.133333
Median Absolute Deviation (MAD)39
Skewness1.2371426
Sum1367
Variance11088.41
MonotonicityNot monotonic
2024-05-11T01:15:33.281017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
314 1
 
0.8%
295 1
 
0.8%
46 1
 
0.8%
157 1
 
0.8%
133 1
 
0.8%
198 1
 
0.8%
9 1
 
0.8%
43 1
 
0.8%
7 1
 
0.8%
0 1
 
0.8%
Other values (5) 5
 
3.8%
(Missing) 115
88.5%
ValueCountFrequency (%)
0 1
0.8%
3 1
0.8%
7 1
0.8%
9 1
0.8%
17 1
0.8%
24 1
0.8%
43 1
0.8%
46 1
0.8%
47 1
0.8%
74 1
0.8%
ValueCountFrequency (%)
314 1
0.8%
295 1
0.8%
198 1
0.8%
157 1
0.8%
133 1
0.8%
74 1
0.8%
47 1
0.8%
46 1
0.8%
43 1
0.8%
24 1
0.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03030000CDFI226004200700000120070122<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 행당동 17번지서울특별시 성동구 살곶이길 200 (행당동, 행원스퀘어)4764(주)인디고에스앤티2019-08-20 17:24:04U2019-08-22 02:40:00.0<NA>203684.127182450698.570811종합여행업<NA><NA><NA><NA><NA>한국관광협회중앙회 관광공제회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3500000002019091520200915<NA><NA>
13030000CDFI226004200800000120080721<NA>3폐업3폐업20100414<NA><NA><NA><NA><NA>133816서울특별시 성동구 마장동 791-1번지서울특별시 성동구 마장로 302 (마장동)133816(주) 라스코엔터테인먼트2014-01-06 10:36:23I2018-08-31 23:59:59.0<NA>203749.993733451516.501627종합여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23030000CDFI226004200800000220080930<NA>1영업/정상13영업중<NA><NA><NA><NA>2298-0559<NA><NA>서울특별시 성동구 금호동4가 서울숲푸르지오아파트 상가동 401호 501호서울특별시 성동구 금호로 15, 401/501호 (금호동4가, 서울숲푸르지오아파트)4740(주)씨케이글로벌파트너스2017-04-13 15:56:21I2018-08-31 23:59:59.0<NA>202090.373459449624.275271종합여행업<NA><NA><NA><NA><NA>서울보증보험주식회사(5천만원)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>15400000002016051420170513<NA><NA>
33030000CDFI226004201100000320110919<NA>1영업/정상13영업중<NA><NA><NA><NA>02-555-7515<NA>133834서울특별시 성동구 성수동2가 300-68번지 에이동 2층, 3층서울특별시 성동구 아차산로 77, A동 2,3층 (성수동2가)4793(주)에이앤에이 컴퍼니2017-05-19 11:24:05I2018-08-31 23:59:59.0<NA>204622.439273449277.483739종합여행업<NA><NA><NA><NA><NA>서울보증보험주식회사(5천만원)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2017050820180507<NA><NA>
43030000CDFI226004201100000420100407<NA>1영업/정상13영업중<NA><NA><NA><NA>02-585-9771<NA><NA>서울특별시 성동구 성수동2가 277-50번지 동성빌딩 409호서울특별시 성동구 아차산로11길 11, 409호 (성수동2가, 동성빌딩)4797(주)맥투어2015-08-12 10:28:07I2018-08-31 23:59:59.0<NA>205170.446244449170.608973종합여행업<NA><NA><NA><NA><NA>여행공제회<NA><NA><NA><NA><NA>MECTOUR Co.,Ltd.GENERAL TRAVEL BUSINESS<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002010041220110412<NA><NA>
53030000CDFI226004201200000120120425<NA>3폐업3폐업20140519<NA><NA><NA>02-380-5678<NA>133120서울특별시 성동구 성수동2가 333-16번지서울특별시 성동구 뚝섬로 377 (성수동2가)133120(주)이마트2014-05-24 17:00:14I2018-08-31 23:59:59.0<NA>204614.272744448607.441252종합여행업<NA><NA><NA><NA><NA>서울보증보험<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1393790950002014051520150514<NA><NA>
63030000CDFI226004201200000220111020<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7669-8773<NA>133170서울특별시 성동구 용답동 235-8번지 영축빌딩 707호서울특별시 성동구 자동차시장1길 85, 707호 (용답동, 영축빌딩)4808케이팝투어2014-05-28 17:26:20I2018-08-31 23:59:59.0<NA>205861.778324450912.302559종합여행업<NA><NA><NA><NA><NA>한국관광협회중앙회 여행공제회<NA><NA><NA><NA><NA>K POP TOURGeneral Travel Agency<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2500000002012111620131116<NA><NA>
73030000CDFI226004201200000320120827<NA>3폐업3폐업20200721<NA><NA><NA>02-454-9204<NA><NA>서울특별시 성동구 성수동2가 284-55서울특별시 성동구 성수일로8길 5, A동 2006호 (성수동2가, 서울숲SKV1TOWER)4793(주)유라스텍2020-07-21 16:08:35U2020-07-23 02:40:00.0<NA>204495.650176449405.611644종합여행업<NA><NA><NA><NA><NA>서울보증보험주식회사(6천5백만)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002017060220180601<NA><NA>
83030000CDFI226004201200000419960726<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2277-3921<NA><NA>서울특별시 성동구 용답동 234번지서울특별시 성동구 자동차시장1길 90 (용답동)4808예스항공여행사(주)2019-05-17 20:14:52U2019-05-19 02:40:00.0<NA>205784.868812450883.524006종합여행업<NA><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>2019051720200517<NA><NA>
93030000CDFI226004201200000620110926<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>133834서울특별시 성동구 성수동2가 300-1번지 삼진빌딩 8층서울특별시 성동구 아차산로 113 (성수동2가, 삼진빌딩 8층)4794올인2018-02-26 14:51:24I2018-08-31 23:59:59.0<NA>204966.098616449159.45278종합여행업<NA><NA><NA><NA><NA>한국관광협회중앙회<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2000000002014070820150708<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
1203030000CDFI22600420230000082023-06-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2214-7524<NA><NA>서울특별시 성동구 용답동 22-1 유앤나빌딩서울특별시 성동구 용답중앙길 84, 유앤나빌딩 6층 (용답동)4805주식회사 숨시다 팩토리투어2023-06-14 15:45:28U2022-12-05 23:06:00.0<NA>204733.671806451137.14521<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1213030000CDFI22600420230000092023-06-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 277-17 성수아카데미타워서울특별시 성동구 성수이로 118, 성수아카데미타워 10층 1016호 (성수동2가)4797주식회사 도서출판나다2023-06-29 10:07:59U2022-12-07 00:01:00.0<NA>205039.907146449216.223655<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1223030000CDFI22600420230000102012-03-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 300-1 삼진빌딩서울특별시 성동구 아차산로 113, 삼진빌딩 8층 8277호 (성수동2가)4794토니투어2023-08-10 16:27:07I2022-12-07 23:02:00.0<NA>204966.098616449159.45278<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1233030000CDFI22600420230000112023-08-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 마장동 481-6 동창상가서울특별시 성동구 마장로35길 40, 동창상가 2층 207호 (마장동)4752주식회사 싱야오 (Xing Yao Co., Ltd.)2023-10-13 16:20:31U2022-10-30 23:05:00.0<NA>203442.677734451877.543073<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1243030000CDFI22600420230000122015-06-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 322-1 성수 AK 밸리서울특별시 성동구 연무장길 76, 성수 AK 밸리 8층 810호 (성수동2가)4784주식회사본투어인터내셔날2023-08-18 10:56:58I2022-12-07 22:00:00.0<NA>205017.80397448809.029852<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1253030000CDFI22600420230000132023-12-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동1가 656-432서울특별시 성동구 성수일로1길 14, 3층 301호 (성수동1가)4779가리온여행 주식회사2024-01-31 16:21:20U2023-12-02 00:02:00.0<NA>204107.721374448877.550345<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1263030000CDFI22600420230000142016-06-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 289-257서울특별시 성동구 성수일로8길 55, 704호 (성수동2가)4794코리아트래블이지2023-12-29 16:36:47I2022-11-01 21:01:00.0<NA>204939.155836449221.773517<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1273030000CDFI22600420240000012022-12-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 도선동 45서울특별시 성동구 왕십리로 318, 1층 (도선동)4709류마여행사2024-01-02 15:57:31I2023-12-01 00:04:00.0<NA>202979.718469451103.752343<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1283030000CDFI22600420240000022024-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동1가 72-8 서울숲 ITCT 지식산업센터서울특별시 성동구 성수일로 10, 서울숲 ITCT 지식산업센터 1208호 (성수동1가)4780티쉬 주식회사2024-04-04 10:29:05I2023-12-04 00:06:00.0<NA>204244.200541448783.561481<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1293030000CDFI22600420240000032024-04-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 행당동 377 서울숲 더샵서울특별시 성동구 왕십리로 241, 201동 3층 (행당동, 서울숲 더샵)4765주식회사 굿데이투어코리아2024-05-01 11:21:37U2023-12-05 00:03:00.0<NA>203481.62825450468.773303<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>