Overview

Dataset statistics

Number of variables64
Number of observations53
Missing cells2035
Missing cells (%)60.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.4 KiB
Average record size in memory567.5 B

Variable types

Numeric8
Categorical14
Text4
Unsupported37
DateTime1

Dataset

Description2021-01-04
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123043

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
개방자치단체코드 has constant value ""Constant
데이터갱신구분 has constant value ""Constant
데이터갱신일자 has constant value ""Constant
영업상태구분코드 is highly imbalanced (59.5%)Imbalance
영업상태명 is highly imbalanced (59.5%)Imbalance
상세영업상태코드 is highly imbalanced (59.5%)Imbalance
상세영업상태명 is highly imbalanced (59.5%)Imbalance
휴업시작일자 is highly imbalanced (86.5%)Imbalance
휴업종료일자 is highly imbalanced (86.5%)Imbalance
보험시작일자 is highly imbalanced (83.0%)Imbalance
보험종료일자 is highly imbalanced (83.0%)Imbalance
인허가취소일자 has 53 (100.0%) missing valuesMissing
폐업일자 has 47 (88.7%) missing valuesMissing
재개업일자 has 53 (100.0%) missing valuesMissing
소재지전화 has 15 (28.3%) missing valuesMissing
소재지우편번호 has 53 (100.0%) missing valuesMissing
도로명전체주소 has 8 (15.1%) missing valuesMissing
도로명우편번호 has 53 (100.0%) missing valuesMissing
업태구분명 has 53 (100.0%) missing valuesMissing
좌표정보(x) has 2 (3.8%) missing valuesMissing
좌표정보(y) has 2 (3.8%) missing valuesMissing
문화사업자구분명 has 53 (100.0%) missing valuesMissing
지역구분명 has 53 (100.0%) missing valuesMissing
총층수 has 53 (100.0%) missing valuesMissing
주변환경명 has 53 (100.0%) missing valuesMissing
제작취급품목내용 has 53 (100.0%) missing valuesMissing
보험기관명 has 53 (100.0%) missing valuesMissing
건물용도명 has 53 (100.0%) missing valuesMissing
지상층수 has 53 (100.0%) missing valuesMissing
지하층수 has 53 (100.0%) missing valuesMissing
객실수 has 53 (100.0%) missing valuesMissing
건축연면적 has 53 (100.0%) missing valuesMissing
영문상호명 has 53 (100.0%) missing valuesMissing
영문상호주소 has 53 (100.0%) missing valuesMissing
선박총톤수 has 53 (100.0%) missing valuesMissing
선박척수 has 53 (100.0%) missing valuesMissing
선박제원 has 53 (100.0%) missing valuesMissing
무대면적 has 53 (100.0%) missing valuesMissing
좌석수 has 53 (100.0%) missing valuesMissing
기념품종류 has 53 (100.0%) missing valuesMissing
회의실별동시수용인원 has 53 (100.0%) missing valuesMissing
시설면적 has 53 (100.0%) missing valuesMissing
놀이기구수내역 has 53 (100.0%) missing valuesMissing
놀이시설수 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
부대시설내역 has 53 (100.0%) missing valuesMissing
시설규모 has 53 (100.0%) missing valuesMissing
Unnamed: 63 has 53 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 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
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로명우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 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
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지상층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지하층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이시설수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 63 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자본금 has 14 (26.4%) zerosZeros

Reproduction

Analysis started2024-04-17 00:19:55.743200
Analysis finished2024-04-17 00:19:56.183162
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-17T09:19:56.241412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.6
Q114
median27
Q340
95-th percentile50.4
Maximum53
Range52
Interquartile range (IQR)26

Descriptive statistics

Standard deviation15.443445
Coefficient of variation (CV)0.57197945
Kurtosis-1.2
Mean27
Median Absolute Deviation (MAD)13
Skewness0
Sum1431
Variance238.5
MonotonicityStrictly increasing
2024-04-17T09:19:56.348144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
41 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%

개방서비스명
Categorical

CONSTANT 

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

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광사업자 53
100.0%

Length

2024-04-17T09:19:56.441227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T09:19:56.508713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광사업자 53
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
03_07_02_P
53 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_07_02_P
2nd row03_07_02_P
3rd row03_07_02_P
4th row03_07_02_P
5th row03_07_02_P

Common Values

ValueCountFrequency (%)
03_07_02_P 53
100.0%

Length

2024-04-17T09:19:56.580533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T09:19:56.653262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_07_02_p 53
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
6260000
53 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6260000
2nd row6260000
3rd row6260000
4th row6260000
5th row6260000

Common Values

ValueCountFrequency (%)
6260000 53
100.0%

Length

2024-04-17T09:19:56.728960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T09:19:56.797943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 53
100.0%

관리번호
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-04-17T09:19:56.928442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters795
Distinct characters11
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 rowC07002009000003
2nd rowC07002008000005
3rd rowC07002006000002
4th rowC07002005000003
5th rowC07002005000001
ValueCountFrequency (%)
c07002009000003 1
 
1.9%
c07001998000001 1
 
1.9%
c02002009000008 1
 
1.9%
c02002009000007 1
 
1.9%
c02002007000010 1
 
1.9%
c02002007000009 1
 
1.9%
c02002007000008 1
 
1.9%
c02002007000007 1
 
1.9%
c02002007000006 1
 
1.9%
c02002005000002 1
 
1.9%
Other values (43) 43
81.1%
2024-04-17T09:19:57.178980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 523
65.8%
2 88
 
11.1%
C 53
 
6.7%
7 43
 
5.4%
1 28
 
3.5%
9 25
 
3.1%
5 9
 
1.1%
8 8
 
1.0%
4 8
 
1.0%
3 5
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 742
93.3%
Uppercase Letter 53
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 523
70.5%
2 88
 
11.9%
7 43
 
5.8%
1 28
 
3.8%
9 25
 
3.4%
5 9
 
1.2%
8 8
 
1.1%
4 8
 
1.1%
3 5
 
0.7%
6 5
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 742
93.3%
Latin 53
 
6.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 523
70.5%
2 88
 
11.9%
7 43
 
5.8%
1 28
 
3.8%
9 25
 
3.4%
5 9
 
1.2%
8 8
 
1.1%
4 8
 
1.1%
3 5
 
0.7%
6 5
 
0.7%
Latin
ValueCountFrequency (%)
C 53
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 795
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 523
65.8%
2 88
 
11.1%
C 53
 
6.7%
7 43
 
5.4%
1 28
 
3.5%
9 25
 
3.1%
5 9
 
1.1%
8 8
 
1.0%
4 8
 
1.0%
3 5
 
0.6%

인허가일자
Real number (ℝ)

Distinct50
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20043670
Minimum19910416
Maximum20090911
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-17T09:19:57.295460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19910416
5-th percentile19986470
Q120011109
median20050517
Q320071123
95-th percentile20090630
Maximum20090911
Range180495
Interquartile range (IQR)60014

Descriptive statistics

Standard deviation41000.324
Coefficient of variation (CV)0.0020455498
Kurtosis0.9542689
Mean20043670
Median Absolute Deviation (MAD)29904
Skewness-0.9321114
Sum1.0623145 × 109
Variance1.6810266 × 109
MonotonicityNot monotonic
2024-04-17T09:19:57.405142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090325 2
 
3.8%
20070726 2
 
3.8%
20090911 2
 
3.8%
20030526 1
 
1.9%
20090310 1
 
1.9%
20071113 1
 
1.9%
20070903 1
 
1.9%
20070824 1
 
1.9%
20050517 1
 
1.9%
20050411 1
 
1.9%
Other values (40) 40
75.5%
ValueCountFrequency (%)
19910416 1
1.9%
19940314 1
1.9%
19980123 1
1.9%
19990702 1
1.9%
19990721 1
1.9%
20000210 1
1.9%
20000605 1
1.9%
20000609 1
1.9%
20001130 1
1.9%
20010118 1
1.9%
ValueCountFrequency (%)
20090911 2
3.8%
20090803 1
1.9%
20090514 1
1.9%
20090430 1
1.9%
20090407 1
1.9%
20090325 2
3.8%
20090310 1
1.9%
20090225 1
1.9%
20081024 1
1.9%
20080602 1
1.9%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
1
46 
3
2
 
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 (%)
1 46
86.8%
3 6
 
11.3%
2 1
 
1.9%

Length

2024-04-17T09:19:57.508555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T09:19:57.584386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 46
86.8%
3 6
 
11.3%
2 1
 
1.9%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
영업/정상
46 
폐업
휴업
 
1

Length

Max length5
Median length5
Mean length4.6037736
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 46
86.8%
폐업 6
 
11.3%
휴업 1
 
1.9%

Length

2024-04-17T09:19:57.668381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T09:19:57.745848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 46
86.8%
폐업 6
 
11.3%
휴업 1
 
1.9%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
1
46 
3
2
 
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 (%)
1 46
86.8%
3 6
 
11.3%
2 1
 
1.9%

Length

2024-04-17T09:19:57.825175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T09:19:57.901078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 46
86.8%
3 6
 
11.3%
2 1
 
1.9%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
영업
46 
폐업
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업 46
86.8%
폐업 6
 
11.3%
휴업 1
 
1.9%

Length

2024-04-17T09:19:57.980355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T09:19:58.056431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 46
86.8%
폐업 6
 
11.3%
휴업 1
 
1.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing47
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean20078933
Minimum20051110
Maximum20090602
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-17T09:19:58.136272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20051110
5-th percentile20058415
Q120080376
median20080520
Q320088021
95-th percentile20090581
Maximum20090602
Range39492
Interquartile range (IQR)7645.5

Descriptive statistics

Standard deviation14501.625
Coefficient of variation (CV)0.00072223087
Kurtosis3.8144463
Mean20078933
Median Absolute Deviation (MAD)5093.5
Skewness-1.8085571
Sum1.204736 × 108
Variance2.1029714 × 108
MonotonicityNot monotonic
2024-04-17T09:19:58.230824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20090602 1
 
1.9%
20080530 1
 
1.9%
20090518 1
 
1.9%
20051110 1
 
1.9%
20080331 1
 
1.9%
20080509 1
 
1.9%
(Missing) 47
88.7%
ValueCountFrequency (%)
20051110 1
1.9%
20080331 1
1.9%
20080509 1
1.9%
20080530 1
1.9%
20090518 1
1.9%
20090602 1
1.9%
ValueCountFrequency (%)
20090602 1
1.9%
20090518 1
1.9%
20080530 1
1.9%
20080509 1
1.9%
20080331 1
1.9%
20051110 1
1.9%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
52 
20080329
 
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%
20080329 1
 
1.9%

Length

2024-04-17T09:19:58.343773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T09:19:58.425868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 52
98.1%
20080329 1
 
1.9%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
52 
20081113
 
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%
20081113 1
 
1.9%

Length

2024-04-17T09:19:58.511018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T09:19:58.593572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 52
98.1%
20081113 1
 
1.9%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지전화
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)94.7%
Missing15
Missing (%)28.3%
Infinite0
Infinite (%)0.0%
Mean5.1512038 × 108
Minimum5.1201228 × 108
Maximum5.1852123 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-17T09:19:58.679021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1201228 × 108
5-th percentile5.123761 × 108
Q15.1421983 × 108
median5.1465213 × 108
Q35.1635702 × 108
95-th percentile5.1850188 × 108
Maximum5.1852123 × 108
Range6508955
Interquartile range (IQR)2137192.8

Descriptive statistics

Standard deviation1921023.3
Coefficient of variation (CV)0.0037292707
Kurtosis-0.74727911
Mean5.1512038 × 108
Median Absolute Deviation (MAD)1335559
Skewness0.27953016
Sum1.9574575 × 1010
Variance3.6903307 × 1012
MonotonicityNot monotonic
2024-04-17T09:19:58.783865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
514649898 2
 
3.8%
514630084 2
 
3.8%
518500100 1
 
1.9%
514151199 1
 
1.9%
513282001 1
 
1.9%
517564396 1
 
1.9%
512012276 1
 
1.9%
518076677 1
 
1.9%
515535574 1
 
1.9%
513152327 1
 
1.9%
Other values (26) 26
49.1%
(Missing) 15
28.3%
ValueCountFrequency (%)
512012276 1
1.9%
512035777 1
1.9%
512436161 1
1.9%
512539001 1
1.9%
512557692 1
1.9%
512559705 1
1.9%
513152327 1
1.9%
513282001 1
1.9%
513351133 1
1.9%
514151199 1
1.9%
ValueCountFrequency (%)
518521231 1
1.9%
518511976 1
1.9%
518500100 1
1.9%
518168811 1
1.9%
518076677 1
1.9%
517564396 1
1.9%
517554545 1
1.9%
517541451 1
1.9%
516377890 1
1.9%
516363366 1
1.9%

소재지면적
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
43 
0
10 

Length

Max length4
Median length4
Mean length3.4339623
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 43
81.1%
0 10
 
18.9%

Length

2024-04-17T09:19:58.915845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T09:19:59.013539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
81.1%
0 10
 
18.9%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B
Distinct50
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-04-17T09:19:59.236611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length22.622642
Min length17

Characters and Unicode

Total characters1199
Distinct characters70
Distinct categories4 ?
Distinct scripts2 ?
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 row부산광역시 중구 중앙동4가 28 - 11
2nd row부산광역시 부산진구 양정동 369 - 12
3rd row부산광역시 부산진구 부전동 128 - 3
4th row부산광역시 해운대구 우동 838 - 1
5th row부산광역시 부산진구 부전동 525 - 3
ValueCountFrequency (%)
부산광역시 53
 
16.4%
49
 
15.1%
동구 14
 
4.3%
1 11
 
3.4%
중구 9
 
2.8%
초량동 8
 
2.5%
부산진구 7
 
2.2%
2 6
 
1.9%
범일동 6
 
1.9%
830 5
 
1.5%
Other values (105) 156
48.1%
2024-04-17T09:19:59.800873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
271
22.6%
1 72
 
6.0%
71
 
5.9%
64
 
5.3%
64
 
5.3%
55
 
4.6%
54
 
4.5%
53
 
4.4%
53
 
4.4%
- 49
 
4.1%
Other values (60) 393
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 597
49.8%
Decimal Number 282
23.5%
Space Separator 271
22.6%
Dash Punctuation 49
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
71
11.9%
64
10.7%
64
10.7%
55
 
9.2%
54
 
9.0%
53
 
8.9%
53
 
8.9%
15
 
2.5%
11
 
1.8%
10
 
1.7%
Other values (48) 147
24.6%
Decimal Number
ValueCountFrequency (%)
1 72
25.5%
2 42
14.9%
3 32
11.3%
5 29
10.3%
0 27
 
9.6%
4 25
 
8.9%
8 21
 
7.4%
6 16
 
5.7%
9 9
 
3.2%
7 9
 
3.2%
Space Separator
ValueCountFrequency (%)
271
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 602
50.2%
Hangul 597
49.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
71
11.9%
64
10.7%
64
10.7%
55
 
9.2%
54
 
9.0%
53
 
8.9%
53
 
8.9%
15
 
2.5%
11
 
1.8%
10
 
1.7%
Other values (48) 147
24.6%
Common
ValueCountFrequency (%)
271
45.0%
1 72
 
12.0%
- 49
 
8.1%
2 42
 
7.0%
3 32
 
5.3%
5 29
 
4.8%
0 27
 
4.5%
4 25
 
4.2%
8 21
 
3.5%
6 16
 
2.7%
Other values (2) 18
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 602
50.2%
Hangul 597
49.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
271
45.0%
1 72
 
12.0%
- 49
 
8.1%
2 42
 
7.0%
3 32
 
5.3%
5 29
 
4.8%
0 27
 
4.5%
4 25
 
4.2%
8 21
 
3.5%
6 16
 
2.7%
Other values (2) 18
 
3.0%
Hangul
ValueCountFrequency (%)
71
11.9%
64
10.7%
64
10.7%
55
 
9.2%
54
 
9.0%
53
 
8.9%
53
 
8.9%
15
 
2.5%
11
 
1.8%
10
 
1.7%
Other values (48) 147
24.6%

도로명전체주소
Text

MISSING 

Distinct42
Distinct (%)93.3%
Missing8
Missing (%)15.1%
Memory size556.0 B
2024-04-17T09:20:00.035010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length26.511111
Min length21

Characters and Unicode

Total characters1193
Distinct characters92
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)86.7%

Sample

1st row부산광역시 해운대구 해운대로 559 (우동)
2nd row부산광역시 부산진구 부전로 43, 2005호 (부전동,베르빌오피스텔)
3rd row부산광역시 중구 중앙대로 80, 1214호 (중앙동4가)
4th row부산광역시 중구 중앙대로 80, 1214호 (중앙동4가)
5th row부산광역시 연제구 중앙대로 1079 (연산동)
ValueCountFrequency (%)
부산광역시 45
 
19.2%
동구 13
 
5.6%
중앙대로 11
 
4.7%
초량동 7
 
3.0%
중구 7
 
3.0%
범일동 6
 
2.6%
부산진구 5
 
2.1%
금정구 4
 
1.7%
중앙동4가 4
 
1.7%
사상구 3
 
1.3%
Other values (98) 129
55.1%
2024-04-17T09:20:00.390789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
 
15.8%
61
 
5.1%
56
 
4.7%
54
 
4.5%
50
 
4.2%
47
 
3.9%
1 46
 
3.9%
( 45
 
3.8%
45
 
3.8%
45
 
3.8%
Other values (82) 555
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 699
58.6%
Decimal Number 197
 
16.5%
Space Separator 189
 
15.8%
Open Punctuation 45
 
3.8%
Close Punctuation 45
 
3.8%
Other Punctuation 10
 
0.8%
Dash Punctuation 8
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
61
 
8.7%
56
 
8.0%
54
 
7.7%
50
 
7.2%
47
 
6.7%
45
 
6.4%
45
 
6.4%
45
 
6.4%
25
 
3.6%
25
 
3.6%
Other values (67) 246
35.2%
Decimal Number
ValueCountFrequency (%)
1 46
23.4%
2 28
14.2%
3 24
12.2%
0 21
10.7%
4 20
10.2%
6 16
 
8.1%
9 15
 
7.6%
5 11
 
5.6%
7 9
 
4.6%
8 7
 
3.6%
Space Separator
ValueCountFrequency (%)
189
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 699
58.6%
Common 494
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
61
 
8.7%
56
 
8.0%
54
 
7.7%
50
 
7.2%
47
 
6.7%
45
 
6.4%
45
 
6.4%
45
 
6.4%
25
 
3.6%
25
 
3.6%
Other values (67) 246
35.2%
Common
ValueCountFrequency (%)
189
38.3%
1 46
 
9.3%
( 45
 
9.1%
) 45
 
9.1%
2 28
 
5.7%
3 24
 
4.9%
0 21
 
4.3%
4 20
 
4.0%
6 16
 
3.2%
9 15
 
3.0%
Other values (5) 45
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 699
58.6%
ASCII 494
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
38.3%
1 46
 
9.3%
( 45
 
9.1%
) 45
 
9.1%
2 28
 
5.7%
3 24
 
4.9%
0 21
 
4.3%
4 20
 
4.0%
6 16
 
3.2%
9 15
 
3.0%
Other values (5) 45
 
9.1%
Hangul
ValueCountFrequency (%)
61
 
8.7%
56
 
8.0%
54
 
7.7%
50
 
7.2%
47
 
6.7%
45
 
6.4%
45
 
6.4%
45
 
6.4%
25
 
3.6%
25
 
3.6%
Other values (67) 246
35.2%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B
Distinct51
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-04-17T09:20:00.588763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length8.490566
Min length2

Characters and Unicode

Total characters450
Distinct characters114
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)92.5%

Sample

1st row(주)아름트레블앤커뮤니케이션
2nd row아일랜드여행사
3rd row(주)베스트관광여행사
4th row(주)한마음항공여행사
5th row(주)한투어
ValueCountFrequency (%)
3
 
4.5%
부산관광개발(주 2
 
3.0%
투어 2
 
3.0%
나이트크럽 2
 
3.0%
금호관광나이트클럽 2
 
3.0%
기린 1
 
1.5%
유에스에이 1
 
1.5%
주)서천양행 1
 
1.5%
주)명문여행사 1
 
1.5%
판코리아나이트클럽 1
 
1.5%
Other values (50) 50
75.8%
2024-04-17T09:20:00.905107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 31
 
6.9%
31
 
6.9%
) 31
 
6.9%
24
 
5.3%
19
 
4.2%
19
 
4.2%
16
 
3.6%
15
 
3.3%
15
 
3.3%
14
 
3.1%
Other values (104) 235
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 372
82.7%
Open Punctuation 31
 
6.9%
Close Punctuation 31
 
6.9%
Space Separator 13
 
2.9%
Uppercase Letter 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
31
 
8.3%
24
 
6.5%
19
 
5.1%
19
 
5.1%
16
 
4.3%
15
 
4.0%
15
 
4.0%
14
 
3.8%
12
 
3.2%
11
 
3.0%
Other values (98) 196
52.7%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
G 1
33.3%
N 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 372
82.7%
Common 75
 
16.7%
Latin 3
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
31
 
8.3%
24
 
6.5%
19
 
5.1%
19
 
5.1%
16
 
4.3%
15
 
4.0%
15
 
4.0%
14
 
3.8%
12
 
3.2%
11
 
3.0%
Other values (98) 196
52.7%
Common
ValueCountFrequency (%)
( 31
41.3%
) 31
41.3%
13
17.3%
Latin
ValueCountFrequency (%)
K 1
33.3%
G 1
33.3%
N 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 372
82.7%
ASCII 78
 
17.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 31
39.7%
) 31
39.7%
13
16.7%
K 1
 
1.3%
G 1
 
1.3%
N 1
 
1.3%
Hangul
ValueCountFrequency (%)
31
 
8.3%
24
 
6.5%
19
 
5.1%
19
 
5.1%
16
 
4.3%
15
 
4.0%
15
 
4.0%
14
 
3.8%
12
 
3.2%
11
 
3.0%
Other values (98) 196
52.7%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0080875 × 1013
Minimum2.0050517 × 1013
Maximum2.0131231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-17T09:20:01.040570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0050517 × 1013
5-th percentile2.0050518 × 1013
Q12.005052 × 1013
median2.0080602 × 1013
Q32.009071 × 1013
95-th percentile2.013123 × 1013
Maximum2.0131231 × 1013
Range8.0713922 × 1010
Interquartile range (IQR)4.0189999 × 1010

Descriptive statistics

Standard deviation2.5116288 × 1010
Coefficient of variation (CV)0.0012507567
Kurtosis-0.084097821
Mean2.0080875 × 1013
Median Absolute Deviation (MAD)1.0201061 × 1010
Skewness0.64185911
Sum1.0642864 × 1015
Variance6.3082793 × 1020
MonotonicityNot monotonic
2024-04-17T09:20:01.163458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090602202726 1
 
1.9%
20050519154551 1
 
1.9%
20090803162247 1
 
1.9%
20090319180910 1
 
1.9%
20131231094218 1
 
1.9%
20070903112258 1
 
1.9%
20071105103446 1
 
1.9%
20070824101618 1
 
1.9%
20070824100733 1
 
1.9%
20050517172658 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
20050517172248 1
1.9%
20050517172658 1
1.9%
20050518153401 1
1.9%
20050518153537 1
1.9%
20050519154551 1
1.9%
20050519155408 1
1.9%
20050519160021 1
1.9%
20050519161517 1
1.9%
20050520094237 1
1.9%
20050520100152 1
1.9%
ValueCountFrequency (%)
20131231094218 1
1.9%
20131230175019 1
1.9%
20131230173349 1
1.9%
20131230173309 1
1.9%
20131230172628 1
1.9%
20131230171535 1
1.9%
20131220181010 1
1.9%
20091009110417 1
1.9%
20090925100606 1
1.9%
20090911110429 1
1.9%

데이터갱신구분
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 53
100.0%

Length

2024-04-17T09:20:01.281775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T09:20:01.350895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 53
100.0%

데이터갱신일자
Date

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
Minimum2018-08-31 23:59:59
Maximum2018-08-31 23:59:59
2024-04-17T09:20:01.410015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T09:20:01.503237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)92.2%
Missing2
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean387438.7
Minimum380460.31
Maximum398538.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-17T09:20:01.629175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum380460.31
5-th percentile381209.15
Q1385630.74
median387472.37
Q3389392.99
95-th percentile394497.81
Maximum398538.34
Range18078.03
Interquartile range (IQR)3762.2445

Descriptive statistics

Standard deviation3742.317
Coefficient of variation (CV)0.0096591201
Kurtosis1.4372392
Mean387438.7
Median Absolute Deviation (MAD)1894.2515
Skewness0.68523887
Sum19759374
Variance14004936
MonotonicityNot monotonic
2024-04-17T09:20:01.759179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
385885.652834827 2
 
3.8%
380460.313281968 2
 
3.8%
387761.284235594 2
 
3.8%
385630.742187332 2
 
3.8%
387472.374240877 1
 
1.9%
386151.607173136 1
 
1.9%
389553.269396339 1
 
1.9%
389454.194848259 1
 
1.9%
381702.406077216 1
 
1.9%
388002.4483073 1
 
1.9%
Other values (37) 37
69.8%
(Missing) 2
 
3.8%
ValueCountFrequency (%)
380460.313281968 2
3.8%
380715.898450373 1
1.9%
381702.406077216 1
1.9%
381784.158546084 1
1.9%
382435.927543204 1
1.9%
384622.168049969 1
1.9%
385007.017930066 1
1.9%
385478.081935339 1
1.9%
385499.194292511 1
1.9%
385559.054254242 1
1.9%
ValueCountFrequency (%)
398538.34378124 1
1.9%
396710.070843294 1
1.9%
396091.944143852 1
1.9%
392903.676150034 1
1.9%
392840.928212365 1
1.9%
391689.266160789 1
1.9%
390317.121490107 1
1.9%
389965.481156377 1
1.9%
389876.52941 1
1.9%
389553.269396339 1
1.9%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)92.2%
Missing2
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean185288.48
Minimum178682.78
Maximum197737.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-17T09:20:01.874493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum178682.78
5-th percentile179630.04
Q1181282.06
median184334.68
Q3187650.64
95-th percentile194461.48
Maximum197737.98
Range19055.197
Interquartile range (IQR)6368.5798

Descriptive statistics

Standard deviation4771.5987
Coefficient of variation (CV)0.025752269
Kurtosis0.015270214
Mean185288.48
Median Absolute Deviation (MAD)3119.4708
Skewness0.79452728
Sum9449712.3
Variance22768154
MonotonicityNot monotonic
2024-04-17T09:20:01.986041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
181374.673098149 2
 
3.8%
186548.086870476 2
 
3.8%
184056.079818088 2
 
3.8%
180306.821082315 2
 
3.8%
185550.05410459 1
 
1.9%
182025.581590054 1
 
1.9%
193306.748089046 1
 
1.9%
189594.690381012 1
 
1.9%
179526.795054162 1
 
1.9%
184046.278156801 1
 
1.9%
Other values (37) 37
69.8%
(Missing) 2
 
3.8%
ValueCountFrequency (%)
178682.782773502 1
1.9%
179526.795054162 1
1.9%
179584.983850781 1
1.9%
179675.088507497 1
1.9%
179998.180784787 1
1.9%
180306.821082315 2
3.8%
180316.936351142 1
1.9%
180359.267537837 1
1.9%
180589.309934345 1
1.9%
180649.789732156 1
1.9%
ValueCountFrequency (%)
197737.979994619 1
1.9%
196089.100911542 1
1.9%
195171.991928 1
1.9%
193750.969225909 1
1.9%
193306.748089046 1
1.9%
192774.203546772 1
1.9%
191936.347387715 1
1.9%
189599.47378324 1
1.9%
189594.690381012 1
1.9%
189240.313918839 1
1.9%
Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
여행업
29 
관광객편의시설
24 

Length

Max length7
Median length3
Mean length4.8113208
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여행업 29
54.7%
관광객편의시설 24
45.3%

Length

2024-04-17T09:20:02.099119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T09:20:02.185973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여행업 29
54.7%
관광객편의시설 24
45.3%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

총층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지상층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지하층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

시설면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

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)

ZEROS 

Distinct16
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4268859 × 108
Minimum0
Maximum1.5 × 1010
Zeros14
Zeros (%)26.4%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-04-17T09:20:02.261643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5 × 108
Q35 × 108
95-th percentile3.108598 × 109
Maximum1.5 × 1010
Range1.5 × 1010
Interquartile range (IQR)5 × 108

Descriptive statistics

Standard deviation2.3452012 × 109
Coefficient of variation (CV)2.7829987
Kurtosis27.337193
Mean8.4268859 × 108
Median Absolute Deviation (MAD)2 × 108
Skewness5.0191742
Sum4.4662495 × 1010
Variance5.4999687 × 1018
MonotonicityNot monotonic
2024-04-17T09:20:02.353144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
350000000 16
30.2%
0 14
26.4%
500000000 4
 
7.5%
400000000 3
 
5.7%
1000000000 2
 
3.8%
700000000 2
 
3.8%
300000000 2
 
3.8%
650000000 2
 
3.8%
10 1
 
1.9%
15000000000 1
 
1.9%
Other values (6) 6
 
11.3%
ValueCountFrequency (%)
0 14
26.4%
10 1
 
1.9%
150000000 1
 
1.9%
220000000 1
 
1.9%
300000000 2
 
3.8%
350000000 16
30.2%
400000000 3
 
5.7%
500000000 4
 
7.5%
550000000 1
 
1.9%
650000000 2
 
3.8%
ValueCountFrequency (%)
15000000000 1
 
1.9%
7621000000 1
 
1.9%
5521495005 1
 
1.9%
1500000000 1
 
1.9%
1000000000 2
3.8%
700000000 2
3.8%
650000000 2
3.8%
550000000 1
 
1.9%
500000000 4
7.5%
400000000 3
5.7%

보험시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
51 
20080726
 
1
20070711
 
1

Length

Max length8
Median length4
Mean length4.1509434
Min length4

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> 51
96.2%
20080726 1
 
1.9%
20070711 1
 
1.9%

Length

2024-04-17T09:20:02.457435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T09:20:02.540266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
96.2%
20080726 1
 
1.9%
20070711 1
 
1.9%

보험종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
51 
20090726
 
1
20080711
 
1

Length

Max length8
Median length4
Mean length4.1509434
Min length4

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> 51
96.2%
20090726 1
 
1.9%
20080711 1
 
1.9%

Length

2024-04-17T09:20:02.626323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T09:20:02.709808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
96.2%
20090726 1
 
1.9%
20080711 1
 
1.9%

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

시설규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Unnamed: 63
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
01관광사업자03_07_02_P6260000C0700200900000320090325<NA>3폐업3폐업20090602<NA><NA><NA>5146300840<NA>부산광역시 중구 중앙동4가 28 - 11<NA><NA>(주)아름트레블앤커뮤니케이션20090602202726I2018-08-31 23:59:59.0<NA>385559.054254180316.936351여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>
12관광사업자03_07_02_P6260000C0700200800000520080602<NA>3폐업3폐업20080530<NA><NA><NA><NA><NA><NA>부산광역시 부산진구 양정동 369 - 12<NA><NA>아일랜드여행사20080602101140I2018-08-31 23:59:59.0<NA>388577.749784187914.100422여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>350000000<NA><NA><NA><NA><NA>
23관광사업자03_07_02_P6260000C0700200600000220060322<NA>3폐업3폐업20090518<NA><NA><NA><NA><NA><NA>부산광역시 부산진구 부전동 128 - 3<NA><NA>(주)베스트관광여행사20090518095748I2018-08-31 23:59:59.0<NA>387708.748335186429.230925여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>400000000<NA><NA><NA><NA><NA>
34관광사업자03_07_02_P6260000C0700200500000320050701<NA>3폐업3폐업20051110<NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 838 - 1부산광역시 해운대구 해운대로 559 (우동)<NA>(주)한마음항공여행사20131230173349I2018-08-31 23:59:59.0<NA>396091.944144186753.66929여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>350000000<NA><NA><NA><NA><NA>
45관광사업자03_07_02_P6260000C0700200500000120051014<NA>3폐업3폐업20080331<NA><NA><NA>518511976<NA><NA>부산광역시 부산진구 부전동 525 - 3부산광역시 부산진구 부전로 43, 2005호 (부전동,베르빌오피스텔)<NA>(주)한투어20131220181010I2018-08-31 23:59:59.0<NA>387219.144333185793.454774여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>350000000<NA><NA><NA><NA><NA>
56관광사업자03_07_02_P6260000C0700200000000120001130<NA>3폐업3폐업20080509<NA><NA><NA><NA><NA><NA>부산광역시 동구 초량동 1210 - 6 123호<NA><NA>(주)뉴월드여행사20080926181247I2018-08-31 23:59:59.0<NA>385747.068543181215.206591여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>350000000<NA><NA><NA><NA><NA>
67관광사업자03_07_02_P6260000C0700200100000120010118<NA>2휴업2휴업<NA>2008032920081113<NA><NA><NA><NA>부산광역시 남구 대연동 649 삼성아파트 103동 502호<NA><NA>(주)아이엠에스여행사20080602094541I2018-08-31 23:59:59.0<NA>391689.266161183019.494939여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>350000000<NA><NA><NA><NA><NA>
78관광사업자03_07_02_P6260000C0700200900001020090911<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0<NA>부산광역시 중구 중앙동4가 23 - 1 1214호부산광역시 중구 중앙대로 80, 1214호 (중앙동4가)<NA>(주)올래여행사20090911110429I2018-08-31 23:59:59.0<NA>385630.742187180306.821082여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>
89관광사업자03_07_02_P6260000C0700200900000920090911<NA>1영업/정상1영업<NA><NA><NA><NA>5146688660<NA>부산광역시 중구 중앙동4가 23 - 1 1214호부산광역시 중구 중앙대로 80, 1214호 (중앙동4가)<NA>(주) 올래여행사20090911104908I2018-08-31 23:59:59.0<NA>385630.742187180306.821082여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>
910관광사업자03_07_02_P6260000C0700200900000820060706<NA>1영업/정상1영업<NA><NA><NA><NA>5185001000<NA>부산광역시 연제구 연산동 1287 - 21부산광역시 연제구 중앙대로 1079 (연산동)<NA>(주) 화승네트웍스20090603165830I2018-08-31 23:59:59.0<NA>389395.715733189240.313919여행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7621000000<NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
4344관광사업자03_07_02_P6260000C0200200200000420021107<NA>1영업/정상1영업<NA><NA><NA><NA>514151199<NA><NA>부산광역시 영도구 영선동2가 1 - 1부산광역시 영도구 절영로35번길 56 (영선동2가)<NA>뉴부산항나이트클럽20050520103206I2018-08-31 23:59:59.0<NA>386166.413273178682.782774관광객편의시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>300000000<NA><NA><NA><NA><NA>
4445관광사업자03_07_02_P6260000C0200200200000320021212<NA>1영업/정상1영업<NA><NA><NA><NA>513351133<NA><NA>부산광역시 북구 덕천동 353 - 10부산광역시 북구 낙동대로1781번길 6 (덕천동)<NA>카사관광나이트클럽20080227182450I2018-08-31 23:59:59.0<NA>382435.927543191936.347388관광객편의시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000000<NA><NA><NA><NA><NA>
4546관광사업자03_07_02_P6260000C0200200200000220021111<NA>1영업/정상1영업<NA><NA><NA><NA>512035777<NA><NA>부산광역시 사하구 괴정동 1011 - 31부산광역시 사하구 사하로 202-4 (괴정동)<NA>굿 유에스에이20050519161517I2018-08-31 23:59:59.0<NA>381784.158546179675.088507관광객편의시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>
4647관광사업자03_07_02_P6260000C0200200200000120020928<NA>1영업/정상1영업<NA><NA><NA><NA>514634467<NA><NA>부산광역시 동구 초량동 1204 - 11부산광역시 동구 중앙대로196번길 12-14 (초량동)<NA>기린20050519160021I2018-08-31 23:59:59.0<NA>385914.528208181260.233895관광객편의시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>220000000<NA><NA><NA><NA><NA>
4748관광사업자03_07_02_P6260000C0200200100000220010224<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 괘법동 564 - 25부산광역시 사상구 광장로 46 (괘법동)<NA>글로리나이트클럽20131230171535I2018-08-31 23:59:59.0<NA>380460.313282186548.08687관광객편의시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1500000000<NA><NA><NA><NA><NA>
4849관광사업자03_07_02_P6260000C0200200100000120011109<NA>1영업/정상1영업<NA><NA><NA><NA>515823927<NA><NA>부산광역시 금정구 구서동 84 - 10부산광역시 금정구 금정로237번길 14 (구서동)<NA>코리아나나이트클럽20050520100716I2018-08-31 23:59:59.0<NA>390317.12149196089.100912관광객편의시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>500000000<NA><NA><NA><NA><NA>
4950관광사업자03_07_02_P6260000C0200200000000120000609<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 개금동 156 - 2부산광역시 부산진구 부전로96번길 3 (부전동)<NA>가야성20131230172628I2018-08-31 23:59:59.0<NA>384622.16805185714.855472관광객편의시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>700000000<NA><NA><NA><NA><NA>
5051관광사업자03_07_02_P6260000C0200199900000219990702<NA>1영업/정상1영업<NA><NA><NA><NA>517541451<NA><NA>부산광역시 수영구 광안동 50 - 1부산광역시 수영구 수영로 712 (광안동)<NA>판코리아나이트클럽20050520100152I2018-08-31 23:59:59.0<NA>392840.928212187459.20003관광객편의시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1000000000<NA><NA><NA><NA><NA>
5152관광사업자03_07_02_P6260000C0200199900000119990721<NA>1영업/정상1영업<NA><NA><NA><NA>512436161<NA><NA>부산광역시 중구 보수동2가 80 - 6<NA><NA>신라20050520094237I2018-08-31 23:59:59.0<NA><NA><NA>관광객편의시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>150000000<NA><NA><NA><NA><NA>
5253관광사업자03_07_02_P6260000C0200199100000119910416<NA>1영업/정상1영업<NA><NA><NA><NA>516363366<NA><NA>부산광역시 동구 범일동 830 - 253부산광역시 동구 범일로90번길 13 (범일동)<NA>금호관광나이트클럽20050520155432I2018-08-31 23:59:59.0<NA>387761.284236184056.079818관광객편의시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>