Overview

Dataset statistics

Number of variables64
Number of observations105
Missing cells3627
Missing cells (%)54.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory57.6 KiB
Average record size in memory561.3 B

Variable types

Numeric11
Categorical17
Unsupported32
Text4

Dataset

Description2021-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123039

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
지역구분명 is highly imbalanced (57.8%)Imbalance
주변환경명 is highly imbalanced (56.5%)Imbalance
시설면적 is highly imbalanced (86.4%)Imbalance
시설규모 is highly imbalanced (86.4%)Imbalance
인허가취소일자 has 105 (100.0%) missing valuesMissing
폐업일자 has 73 (69.5%) missing valuesMissing
휴업시작일자 has 105 (100.0%) missing valuesMissing
휴업종료일자 has 105 (100.0%) missing valuesMissing
재개업일자 has 105 (100.0%) missing valuesMissing
소재지전화 has 21 (20.0%) missing valuesMissing
소재지면적 has 105 (100.0%) missing valuesMissing
소재지우편번호 has 32 (30.5%) missing valuesMissing
도로명우편번호 has 19 (18.1%) missing valuesMissing
업태구분명 has 105 (100.0%) missing valuesMissing
총층수 has 61 (58.1%) missing valuesMissing
제작취급품목내용 has 105 (100.0%) missing valuesMissing
보험기관명 has 105 (100.0%) missing valuesMissing
지상층수 has 58 (55.2%) missing valuesMissing
객실수 has 105 (100.0%) missing valuesMissing
건축연면적 has 105 (100.0%) missing valuesMissing
영문상호명 has 105 (100.0%) missing valuesMissing
영문상호주소 has 105 (100.0%) missing valuesMissing
선박총톤수 has 105 (100.0%) missing valuesMissing
선박척수 has 105 (100.0%) missing valuesMissing
선박제원 has 105 (100.0%) missing valuesMissing
무대면적 has 105 (100.0%) missing valuesMissing
좌석수 has 105 (100.0%) missing valuesMissing
기념품종류 has 105 (100.0%) missing valuesMissing
회의실별동시수용인원 has 105 (100.0%) missing valuesMissing
놀이기구수내역 has 105 (100.0%) missing valuesMissing
놀이시설수 has 105 (100.0%) missing valuesMissing
방송시설유무 has 105 (100.0%) missing valuesMissing
발전시설유무 has 105 (100.0%) missing valuesMissing
의무실유무 has 105 (100.0%) missing valuesMissing
안내소유무 has 105 (100.0%) missing valuesMissing
기획여행보험시작일자 has 105 (100.0%) missing valuesMissing
기획여행보험종료일자 has 105 (100.0%) missing valuesMissing
자본금 has 105 (100.0%) missing valuesMissing
보험시작일자 has 105 (100.0%) missing valuesMissing
보험종료일자 has 105 (100.0%) missing valuesMissing
부대시설내역 has 105 (100.0%) missing valuesMissing
Unnamed: 63 has 105 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 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
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
자본금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 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
Unnamed: 63 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 2 (1.9%) zerosZeros
지상층수 has 2 (1.9%) zerosZeros

Reproduction

Analysis started2024-04-17 20:53:14.226676
Analysis finished2024-04-17 20:53:14.739116
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53
Minimum1
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T05:53:14.798817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.2
Q127
median53
Q379
95-th percentile99.8
Maximum105
Range104
Interquartile range (IQR)52

Descriptive statistics

Standard deviation30.454885
Coefficient of variation (CV)0.57462047
Kurtosis-1.2
Mean53
Median Absolute Deviation (MAD)26
Skewness0
Sum5565
Variance927.5
MonotonicityStrictly increasing
2024-04-18T05:53:14.923165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
80 1
 
1.0%
78 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
Other values (95) 95
90.5%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
105 1
1.0%
104 1
1.0%
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
공연장
105 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 105
100.0%

Length

2024-04-18T05:53:15.024923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:53:15.091805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 105
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
03_06_01_P
105 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_06_01_P
2nd row03_06_01_P
3rd row03_06_01_P
4th row03_06_01_P
5th row03_06_01_P

Common Values

ValueCountFrequency (%)
03_06_01_P 105
100.0%

Length

2024-04-18T05:53:15.164774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:53:15.234843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_06_01_p 105
100.0%

개방자치단체코드
Real number (ℝ)

Distinct15
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3318761.9
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T05:53:15.299861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3310000
Q33350000
95-th percentile3380000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation38523.101
Coefficient of variation (CV)0.011607672
Kurtosis-0.45901595
Mean3318761.9
Median Absolute Deviation (MAD)20000
Skewness0.20616985
Sum3.4847 × 108
Variance1.4840293 × 109
MonotonicityIncreasing
2024-04-18T05:53:15.387581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3310000 23
21.9%
3330000 15
14.3%
3290000 10
9.5%
3350000 10
9.5%
3380000 9
 
8.6%
3250000 8
 
7.6%
3270000 7
 
6.7%
3300000 6
 
5.7%
3320000 4
 
3.8%
3280000 3
 
2.9%
Other values (5) 10
9.5%
ValueCountFrequency (%)
3250000 8
 
7.6%
3270000 7
 
6.7%
3280000 3
 
2.9%
3290000 10
9.5%
3300000 6
 
5.7%
3310000 23
21.9%
3320000 4
 
3.8%
3330000 15
14.3%
3340000 2
 
1.9%
3350000 10
9.5%
ValueCountFrequency (%)
3400000 3
 
2.9%
3390000 2
 
1.9%
3380000 9
 
8.6%
3370000 2
 
1.9%
3360000 1
 
1.0%
3350000 10
9.5%
3340000 2
 
1.9%
3330000 15
14.3%
3320000 4
 
3.8%
3310000 23
21.9%

관리번호
Categorical

Distinct46
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size972.0 B
CDFE1230002003000001
 
7
CDFE1230002013000001
 
6
CDFE1230002014000001
 
6
CDFE1230002011000001
 
6
CDFE1230002009000001
 
6
Other values (41)
74 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique26 ?
Unique (%)24.8%

Sample

1st rowCDFE1230002011000001
2nd rowCDFE1230002003000001
3rd rowCDFE1230002004000001
4th rowCDFE1230002004000002
5th rowCDFE1230002009000001

Common Values

ValueCountFrequency (%)
CDFE1230002003000001 7
 
6.7%
CDFE1230002013000001 6
 
5.7%
CDFE1230002014000001 6
 
5.7%
CDFE1230002011000001 6
 
5.7%
CDFE1230002009000001 6
 
5.7%
CDFE1230002012000001 5
 
4.8%
CDFE1230002018000001 5
 
4.8%
CDFE1230002020000001 5
 
4.8%
CDFE1230002015000001 4
 
3.8%
CDFE1230002009000002 4
 
3.8%
Other values (36) 51
48.6%

Length

2024-04-18T05:53:15.479738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cdfe1230002003000001 7
 
6.7%
cdfe1230002014000001 6
 
5.7%
cdfe1230002011000001 6
 
5.7%
cdfe1230002009000001 6
 
5.7%
cdfe1230002013000001 6
 
5.7%
cdfe1230002012000001 5
 
4.8%
cdfe1230002018000001 5
 
4.8%
cdfe1230002020000001 5
 
4.8%
cdfe1230002009000002 4
 
3.8%
cdfe1230002015000001 4
 
3.8%
Other values (36) 51
48.6%

인허가일자
Real number (ℝ)

Distinct91
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20111409
Minimum19970308
Maximum20201224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T05:53:15.584021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970308
5-th percentile20030103
Q120081113
median20120221
Q320150727
95-th percentile20191163
Maximum20201224
Range230916
Interquartile range (IQR)69614

Descriptive statistics

Standard deviation54836.725
Coefficient of variation (CV)0.0027266476
Kurtosis-0.70500076
Mean20111409
Median Absolute Deviation (MAD)30994
Skewness-0.30176439
Sum2.1116979 × 109
Variance3.0070664 × 109
MonotonicityNot monotonic
2024-04-18T05:53:15.715653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030107 4
 
3.8%
20030103 3
 
2.9%
20120703 2
 
1.9%
20091014 2
 
1.9%
20040625 2
 
1.9%
20131108 2
 
1.9%
20200831 2
 
1.9%
20070220 2
 
1.9%
20091218 2
 
1.9%
20090310 2
 
1.9%
Other values (81) 82
78.1%
ValueCountFrequency (%)
19970308 1
 
1.0%
19991218 1
 
1.0%
20021230 1
 
1.0%
20030103 3
2.9%
20030104 1
 
1.0%
20030107 4
3.8%
20030120 2
1.9%
20030127 1
 
1.0%
20030807 1
 
1.0%
20030828 1
 
1.0%
ValueCountFrequency (%)
20201224 1
1.0%
20201217 1
1.0%
20200831 2
1.9%
20200825 1
1.0%
20191224 1
1.0%
20190919 1
1.0%
20190523 1
1.0%
20190321 1
1.0%
20180913 1
1.0%
20180710 1
1.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
1
73 
3
29 
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 73
69.5%
3 29
 
27.6%
4 3
 
2.9%

Length

2024-04-18T05:53:15.816610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:53:15.887168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 73
69.5%
3 29
 
27.6%
4 3
 
2.9%

영업상태명
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
영업/정상
73 
폐업
29 
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length5
Mean length4.4285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 73
69.5%
폐업 29
 
27.6%
취소/말소/만료/정지/중지 3
 
2.9%

Length

2024-04-18T05:53:15.970571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:53:16.048366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 73
69.5%
폐업 29
 
27.6%
취소/말소/만료/정지/중지 3
 
2.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
13
73 
3
29 
35
 
3

Length

Max length2
Median length2
Mean length1.7238095
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 73
69.5%
3 29
 
27.6%
35 3
 
2.9%

Length

2024-04-18T05:53:16.130985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:53:16.214502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 73
69.5%
3 29
 
27.6%
35 3
 
2.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
영업중
73 
폐업
29 
직권말소
 
3

Length

Max length4
Median length3
Mean length2.752381
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 73
69.5%
폐업 29
 
27.6%
직권말소 3
 
2.9%

Length

2024-04-18T05:53:16.309842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:53:16.392297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 73
69.5%
폐업 29
 
27.6%
직권말소 3
 
2.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)93.8%
Missing73
Missing (%)69.5%
Infinite0
Infinite (%)0.0%
Mean20165584
Minimum20080331
Maximum20210120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T05:53:16.469940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080331
5-th percentile20112321
Q120157828
median20170362
Q320190152
95-th percentile20195549
Maximum20210120
Range129789
Interquartile range (IQR)32323.5

Descriptive statistics

Standard deviation28693.549
Coefficient of variation (CV)0.001422897
Kurtosis2.2593942
Mean20165584
Median Absolute Deviation (MAD)19813
Skewness-1.2789088
Sum6.4529869 × 108
Variance8.2331973 × 108
MonotonicityNot monotonic
2024-04-18T05:53:16.568808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20160304 2
 
1.9%
20160420 2
 
1.9%
20190129 1
 
1.0%
20191231 1
 
1.0%
20190802 1
 
1.0%
20200826 1
 
1.0%
20170216 1
 
1.0%
20170707 1
 
1.0%
20161229 1
 
1.0%
20090311 1
 
1.0%
Other values (20) 20
 
19.0%
(Missing) 73
69.5%
ValueCountFrequency (%)
20080331 1
1.0%
20090311 1
1.0%
20130329 1
1.0%
20140418 1
1.0%
20140603 1
1.0%
20141223 1
1.0%
20150101 1
1.0%
20150402 1
1.0%
20160304 2
1.9%
20160309 1
1.0%
ValueCountFrequency (%)
20210120 1
1.0%
20200826 1
1.0%
20191231 1
1.0%
20191025 1
1.0%
20190909 1
1.0%
20190816 1
1.0%
20190802 1
1.0%
20190221 1
1.0%
20190129 1
1.0%
20190114 1
1.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

소재지전화
Text

MISSING 

Distinct72
Distinct (%)85.7%
Missing21
Missing (%)20.0%
Memory size972.0 B
2024-04-18T05:53:16.772834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.261905
Min length8

Characters and Unicode

Total characters862
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)73.8%

Sample

1st row1588-2757
2nd row462-1870
3rd row790-7400
4th row790-7400
5th row1588-2757
ValueCountFrequency (%)
607-6055 3
 
3.6%
1588-2757 3
 
3.6%
811-0114 2
 
2.4%
1600-1602 2
 
2.4%
663-5363 2
 
2.4%
922-4545 2
 
2.4%
051-749-7651 2
 
2.4%
519-4082 2
 
2.4%
419-5561 2
 
2.4%
790-7400 2
 
2.4%
Other values (62) 62
73.8%
2024-04-18T05:53:17.403553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 150
17.4%
- 122
14.2%
5 120
13.9%
1 119
13.8%
6 80
9.3%
2 49
 
5.7%
4 49
 
5.7%
7 46
 
5.3%
8 44
 
5.1%
3 44
 
5.1%
Other values (2) 39
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 736
85.4%
Dash Punctuation 122
 
14.2%
Close Punctuation 4
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 150
20.4%
5 120
16.3%
1 119
16.2%
6 80
10.9%
2 49
 
6.7%
4 49
 
6.7%
7 46
 
6.2%
8 44
 
6.0%
3 44
 
6.0%
9 35
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 862
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 150
17.4%
- 122
14.2%
5 120
13.9%
1 119
13.8%
6 80
9.3%
2 49
 
5.7%
4 49
 
5.7%
7 46
 
5.3%
8 44
 
5.1%
3 44
 
5.1%
Other values (2) 39
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 862
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 150
17.4%
- 122
14.2%
5 120
13.9%
1 119
13.8%
6 80
9.3%
2 49
 
5.7%
4 49
 
5.7%
7 46
 
5.3%
8 44
 
5.1%
3 44
 
5.1%
Other values (2) 39
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)67.1%
Missing32
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean609781.1
Minimum600031
Maximum617841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T05:53:17.517779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600031
5-th percentile600084
Q1607834
median609800
Q3612892
95-th percentile616801.2
Maximum617841
Range17810
Interquartile range (IQR)5058

Descriptive statistics

Standard deviation4882.6925
Coefficient of variation (CV)0.0080072875
Kurtosis-0.39232453
Mean609781.1
Median Absolute Deviation (MAD)3036
Skewness-0.57167725
Sum44514020
Variance23840686
MonotonicityNot monotonic
2024-04-18T05:53:17.626463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
601807 3
 
2.9%
608806 3
 
2.9%
608805 3
 
2.9%
612020 3
 
2.9%
608811 3
 
2.9%
612821 2
 
1.9%
607803 2
 
1.9%
608810 2
 
1.9%
600110 2
 
1.9%
608804 2
 
1.9%
Other values (39) 48
45.7%
(Missing) 32
30.5%
ValueCountFrequency (%)
600031 1
 
1.0%
600042 2
1.9%
600045 1
 
1.0%
600110 2
1.9%
600801 1
 
1.0%
601720 1
 
1.0%
601807 3
2.9%
604851 2
1.9%
606081 2
1.9%
607803 2
1.9%
ValueCountFrequency (%)
617841 1
1.0%
617736 1
1.0%
616820 1
1.0%
616803 1
1.0%
616800 2
1.9%
614876 1
1.0%
614861 2
1.9%
614847 1
1.0%
614837 1
1.0%
614827 1
1.0%

소재지전체주소
Text

Distinct90
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size972.0 B
2024-04-18T05:53:17.883918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length32
Mean length24.266667
Min length17

Characters and Unicode

Total characters2548
Distinct characters147
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

Unique77 ?
Unique (%)73.3%

Sample

1st row부산광역시 중구 광복동1가 59-1번지
2nd row부산광역시 중구 대청동4가 81-1번지
3rd row부산광역시 중구 영주동 산 10-7번지
4th row부산광역시 중구 영주동 산 10-7번지
5th row부산광역시 중구 남포동2가 25-10번지
ValueCountFrequency (%)
부산광역시 106
 
21.3%
남구 23
 
4.6%
대연동 22
 
4.4%
해운대구 15
 
3.0%
우동 10
 
2.0%
금정구 10
 
2.0%
부산진구 10
 
2.0%
수영구 9
 
1.8%
중구 8
 
1.6%
동구 7
 
1.4%
Other values (189) 278
55.8%
2024-04-18T05:53:18.269710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
393
 
15.4%
산 136
 
5.3%
부 134
 
5.3%
동 123
 
4.8%
1 112
 
4.4%
광 111
 
4.4%
역 108
 
4.2%
시 108
 
4.2%
구 108
 
4.2%
지 104
 
4.1%
Other values (137) 1111
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1580
62.0%
Decimal Number 473
 
18.6%
Space Separator 393
 
15.4%
Dash Punctuation 86
 
3.4%
Uppercase Letter 9
 
0.4%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 136
 
8.6%
부 134
 
8.5%
동 123
 
7.8%
광 111
 
7.0%
역 108
 
6.8%
시 108
 
6.8%
구 108
 
6.8%
지 104
 
6.6%
번 90
 
5.7%
대 43
 
2.7%
Other values (114) 515
32.6%
Decimal Number
ValueCountFrequency (%)
1 112
23.7%
2 62
13.1%
3 49
10.4%
4 48
10.1%
5 43
 
9.1%
6 39
 
8.2%
7 37
 
7.8%
8 35
 
7.4%
0 26
 
5.5%
9 22
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
G 2
22.2%
F 1
11.1%
K 1
11.1%
T 1
11.1%
C 1
11.1%
I 1
11.1%
L 1
11.1%
B 1
11.1%
Space Separator
ValueCountFrequency (%)
393
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1580
62.0%
Common 959
37.6%
Latin 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 136
 
8.6%
부 134
 
8.5%
동 123
 
7.8%
광 111
 
7.0%
역 108
 
6.8%
시 108
 
6.8%
구 108
 
6.8%
지 104
 
6.6%
번 90
 
5.7%
대 43
 
2.7%
Other values (114) 515
32.6%
Common
ValueCountFrequency (%)
393
41.0%
1 112
 
11.7%
- 86
 
9.0%
2 62
 
6.5%
3 49
 
5.1%
4 48
 
5.0%
5 43
 
4.5%
6 39
 
4.1%
7 37
 
3.9%
8 35
 
3.6%
Other values (5) 55
 
5.7%
Latin
ValueCountFrequency (%)
G 2
22.2%
F 1
11.1%
K 1
11.1%
T 1
11.1%
C 1
11.1%
I 1
11.1%
L 1
11.1%
B 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1580
62.0%
ASCII 968
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
393
40.6%
1 112
 
11.6%
- 86
 
8.9%
2 62
 
6.4%
3 49
 
5.1%
4 48
 
5.0%
5 43
 
4.4%
6 39
 
4.0%
7 37
 
3.8%
8 35
 
3.6%
Other values (13) 64
 
6.6%
Hangul
ValueCountFrequency (%)
산 136
 
8.6%
부 134
 
8.5%
동 123
 
7.8%
광 111
 
7.0%
역 108
 
6.8%
시 108
 
6.8%
구 108
 
6.8%
지 104
 
6.6%
번 90
 
5.7%
대 43
 
2.7%
Other values (114) 515
32.6%

도로명전체주소
Text

Distinct90
Distinct (%)86.5%
Missing1
Missing (%)1.0%
Memory size972.0 B
2024-04-18T05:53:18.497730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35.5
Mean length30.865385
Min length20

Characters and Unicode

Total characters3210
Distinct characters194
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)74.0%

Sample

1st row부산광역시 중구 광복로 82 (광복동1가)
2nd row부산광역시 중구 중구로 71 (대청동4가)
3rd row부산광역시 중구 민주공원길 19 (영주동)
4th row부산광역시 중구 민주공원길 19 (영주동)
5th row부산광역시 중구 구덕로34번길 4, 3층 (남포동2가, 쏠레마빌딩)
ValueCountFrequency (%)
부산광역시 104
 
16.7%
남구 23
 
3.7%
대연동 20
 
3.2%
지하1층 17
 
2.7%
해운대구 15
 
2.4%
수영로 11
 
1.8%
우동 10
 
1.6%
부산진구 10
 
1.6%
금정구 9
 
1.4%
수영구 9
 
1.4%
Other values (255) 393
63.3%
2024-04-18T05:53:18.842239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
521
 
16.2%
부 135
 
4.2%
동 132
 
4.1%
산 129
 
4.0%
구 112
 
3.5%
광 109
 
3.4%
시 109
 
3.4%
1 106
 
3.3%
역 105
 
3.3%
) 104
 
3.2%
Other values (184) 1648
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1954
60.9%
Space Separator 521
 
16.2%
Decimal Number 424
 
13.2%
Close Punctuation 104
 
3.2%
Open Punctuation 104
 
3.2%
Other Punctuation 80
 
2.5%
Uppercase Letter 12
 
0.4%
Dash Punctuation 7
 
0.2%
Lowercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 135
 
6.9%
동 132
 
6.8%
산 129
 
6.6%
구 112
 
5.7%
광 109
 
5.6%
시 109
 
5.6%
역 105
 
5.4%
로 100
 
5.1%
대 66
 
3.4%
길 48
 
2.5%
Other values (155) 909
46.5%
Decimal Number
ValueCountFrequency (%)
1 106
25.0%
3 63
14.9%
2 55
13.0%
7 37
 
8.7%
4 35
 
8.3%
6 34
 
8.0%
9 29
 
6.8%
0 26
 
6.1%
8 21
 
5.0%
5 18
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
K 2
16.7%
C 2
16.7%
B 2
16.7%
T 1
8.3%
F 1
8.3%
G 1
8.3%
A 1
8.3%
P 1
8.3%
E 1
8.3%
Lowercase Letter
ValueCountFrequency (%)
f 1
33.3%
i 1
33.3%
c 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 79
98.8%
& 1
 
1.2%
Space Separator
ValueCountFrequency (%)
521
100.0%
Close Punctuation
ValueCountFrequency (%)
) 104
100.0%
Open Punctuation
ValueCountFrequency (%)
( 104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1954
60.9%
Common 1241
38.7%
Latin 15
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 135
 
6.9%
동 132
 
6.8%
산 129
 
6.6%
구 112
 
5.7%
광 109
 
5.6%
시 109
 
5.6%
역 105
 
5.4%
로 100
 
5.1%
대 66
 
3.4%
길 48
 
2.5%
Other values (155) 909
46.5%
Common
ValueCountFrequency (%)
521
42.0%
1 106
 
8.5%
) 104
 
8.4%
( 104
 
8.4%
, 79
 
6.4%
3 63
 
5.1%
2 55
 
4.4%
7 37
 
3.0%
4 35
 
2.8%
6 34
 
2.7%
Other values (7) 103
 
8.3%
Latin
ValueCountFrequency (%)
K 2
13.3%
C 2
13.3%
B 2
13.3%
f 1
6.7%
T 1
6.7%
F 1
6.7%
G 1
6.7%
i 1
6.7%
A 1
6.7%
P 1
6.7%
Other values (2) 2
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1954
60.9%
ASCII 1256
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
521
41.5%
1 106
 
8.4%
) 104
 
8.3%
( 104
 
8.3%
, 79
 
6.3%
3 63
 
5.0%
2 55
 
4.4%
7 37
 
2.9%
4 35
 
2.8%
6 34
 
2.7%
Other values (19) 118
 
9.4%
Hangul
ValueCountFrequency (%)
부 135
 
6.9%
동 132
 
6.8%
산 129
 
6.6%
구 112
 
5.7%
광 109
 
5.6%
시 109
 
5.6%
역 105
 
5.4%
로 100
 
5.1%
대 66
 
3.4%
길 48
 
2.5%
Other values (155) 909
46.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)79.1%
Missing19
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean401147.08
Minimum46028
Maximum617841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T05:53:18.956551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46028
5-th percentile46284.75
Q148428.75
median607818.5
Q3612823.25
95-th percentile616800
Maximum617841
Range571813
Interquartile range (IQR)564394.5

Descriptive statistics

Standard deviation273679.77
Coefficient of variation (CV)0.68224294
Kurtosis-1.7508618
Mean401147.08
Median Absolute Deviation (MAD)7383
Skewness-0.53805858
Sum34498649
Variance7.4900614 × 1010
MonotonicityNot monotonic
2024-04-18T05:53:19.054203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
612020 3
 
2.9%
608811 3
 
2.9%
608806 3
 
2.9%
614861 2
 
1.9%
612836 2
 
1.9%
612821 2
 
1.9%
600110 2
 
1.9%
608804 2
 
1.9%
608805 2
 
1.9%
607803 2
 
1.9%
Other values (58) 63
60.0%
(Missing) 19
 
18.1%
ValueCountFrequency (%)
46028 1
1.0%
46043 1
1.0%
46084 1
1.0%
46241 1
1.0%
46284 1
1.0%
46287 1
1.0%
46306 1
1.0%
46329 1
1.0%
46765 1
1.0%
47288 1
1.0%
ValueCountFrequency (%)
617841 1
1.0%
617736 1
1.0%
616820 1
1.0%
616803 1
1.0%
616800 2
1.9%
614876 1
1.0%
614861 2
1.9%
614847 1
1.0%
614837 1
1.0%
614827 1
1.0%

사업장명
Text

Distinct104
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
2024-04-18T05:53:19.281443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length8.2761905
Min length3

Characters and Unicode

Total characters869
Distinct characters225
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

Unique103 ?
Unique (%)98.1%

Sample

1st rowBNK부산은행조은극장 2관
2nd row가톨릭센타
3rd row민주공원 중극장
4th row민주공원 소극장
5th rowBNK부산은행조은극장 1관
ValueCountFrequency (%)
소극장 12
 
7.1%
아트홀 5
 
2.9%
2관 4
 
2.4%
bnk부산은행조은극장 3
 
1.8%
1관 3
 
1.8%
대극장 3
 
1.8%
부산시민회관 2
 
1.2%
학생예술문화회관 2
 
1.2%
부산광역시 2
 
1.2%
부산문화회관 2
 
1.2%
Other values (122) 132
77.6%
2024-04-18T05:53:19.611024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65
 
7.5%
장 47
 
5.4%
극 41
 
4.7%
홀 37
 
4.3%
관 29
 
3.3%
트 27
 
3.1%
소 26
 
3.0%
아 24
 
2.8%
산 19
 
2.2%
부 19
 
2.2%
Other values (215) 535
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 727
83.7%
Space Separator 65
 
7.5%
Uppercase Letter 32
 
3.7%
Decimal Number 16
 
1.8%
Lowercase Letter 16
 
1.8%
Open Punctuation 5
 
0.6%
Close Punctuation 5
 
0.6%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 47
 
6.5%
극 41
 
5.6%
홀 37
 
5.1%
관 29
 
4.0%
트 27
 
3.7%
소 26
 
3.6%
아 24
 
3.3%
산 19
 
2.6%
부 19
 
2.6%
회 18
 
2.5%
Other values (179) 440
60.5%
Uppercase Letter
ValueCountFrequency (%)
K 7
21.9%
N 6
18.8%
B 5
15.6%
C 2
 
6.2%
T 2
 
6.2%
G 2
 
6.2%
L 1
 
3.1%
I 1
 
3.1%
R 1
 
3.1%
X 1
 
3.1%
Other values (4) 4
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 3
18.8%
s 2
12.5%
u 2
12.5%
h 2
12.5%
o 1
 
6.2%
r 1
 
6.2%
a 1
 
6.2%
m 1
 
6.2%
p 1
 
6.2%
n 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 6
37.5%
1 4
25.0%
4 2
 
12.5%
6 2
 
12.5%
0 1
 
6.2%
3 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
' 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 727
83.7%
Common 94
 
10.8%
Latin 48
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 47
 
6.5%
극 41
 
5.6%
홀 37
 
5.1%
관 29
 
4.0%
트 27
 
3.7%
소 26
 
3.6%
아 24
 
3.3%
산 19
 
2.6%
부 19
 
2.6%
회 18
 
2.5%
Other values (179) 440
60.5%
Latin
ValueCountFrequency (%)
K 7
14.6%
N 6
 
12.5%
B 5
 
10.4%
e 3
 
6.2%
s 2
 
4.2%
C 2
 
4.2%
u 2
 
4.2%
h 2
 
4.2%
T 2
 
4.2%
G 2
 
4.2%
Other values (15) 15
31.2%
Common
ValueCountFrequency (%)
65
69.1%
2 6
 
6.4%
( 5
 
5.3%
) 5
 
5.3%
1 4
 
4.3%
' 2
 
2.1%
4 2
 
2.1%
6 2
 
2.1%
0 1
 
1.1%
3 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 727
83.7%
ASCII 142
 
16.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65
45.8%
K 7
 
4.9%
2 6
 
4.2%
N 6
 
4.2%
( 5
 
3.5%
) 5
 
3.5%
B 5
 
3.5%
1 4
 
2.8%
e 3
 
2.1%
s 2
 
1.4%
Other values (26) 34
23.9%
Hangul
ValueCountFrequency (%)
장 47
 
6.5%
극 41
 
5.6%
홀 37
 
5.1%
관 29
 
4.0%
트 27
 
3.7%
소 26
 
3.6%
아 24
 
3.3%
산 19
 
2.6%
부 19
 
2.6%
회 18
 
2.5%
Other values (179) 440
60.5%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0176227 × 1013
Minimum2.0060214 × 1013
Maximum2.0210121 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T05:53:19.724580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0060214 × 1013
5-th percentile2.0114938 × 1013
Q12.016122 × 1013
median2.0190117 × 1013
Q32.0191226 × 1013
95-th percentile2.0201227 × 1013
Maximum2.0210121 × 1013
Range1.4990698 × 1011
Interquartile range (IQR)3.0005958 × 1010

Descriptive statistics

Standard deviation2.9746547 × 1010
Coefficient of variation (CV)0.0014743364
Kurtosis3.8418235
Mean2.0176227 × 1013
Median Absolute Deviation (MAD)1.0485981 × 1010
Skewness-1.8983633
Sum2.1185039 × 1015
Variance8.8485704 × 1020
MonotonicityNot monotonic
2024-04-18T05:53:19.839372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170512092539 1
 
1.0%
20161230144048 1
 
1.0%
20060214111919 1
 
1.0%
20080712111550 1
 
1.0%
20191224152528 1
 
1.0%
20190813172708 1
 
1.0%
20190820140451 1
 
1.0%
20200909091322 1
 
1.0%
20200501182539 1
 
1.0%
20181122175809 1
 
1.0%
Other values (95) 95
90.5%
ValueCountFrequency (%)
20060214111919 1
1.0%
20080712111550 1
1.0%
20081212150615 1
1.0%
20081219165853 1
1.0%
20090703154240 1
1.0%
20111118112025 1
1.0%
20130219152557 1
1.0%
20130329085224 1
1.0%
20130702130226 1
1.0%
20140421112936 1
1.0%
ValueCountFrequency (%)
20210121090919 1
1.0%
20210114112753 1
1.0%
20201231144312 1
1.0%
20201231144250 1
1.0%
20201231134615 1
1.0%
20201229130059 1
1.0%
20201217115637 1
1.0%
20201012145442 1
1.0%
20200909091322 1
1.0%
20200831163808 1
1.0%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
U
55 
I
50 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 55
52.4%
I 50
47.6%

Length

2024-04-18T05:53:19.944568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:53:20.013491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 55
52.4%
i 50
47.6%

데이터갱신일자
Categorical

Distinct49
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size972.0 B
2018-08-31 23:59:59.0
45 
2019-01-26 02:40:00.0
 
4
2021-01-02 02:40:00.0
 
3
2019-08-22 02:40:00.0
 
2
2020-01-23 02:40:00.0
 
2
Other values (44)
49 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique39 ?
Unique (%)37.1%

Sample

1st row2018-08-31 23:59:59.0
2nd row2019-09-11 02:40:00.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 45
42.9%
2019-01-26 02:40:00.0 4
 
3.8%
2021-01-02 02:40:00.0 3
 
2.9%
2019-08-22 02:40:00.0 2
 
1.9%
2020-01-23 02:40:00.0 2
 
1.9%
2020-09-02 00:23:13.0 2
 
1.9%
2020-06-05 02:40:00.0 2
 
1.9%
2019-09-11 02:40:00.0 2
 
1.9%
2020-06-27 02:40:00.0 2
 
1.9%
2019-01-12 02:40:00.0 2
 
1.9%
Other values (39) 39
37.1%

Length

2024-04-18T05:53:20.086018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:40:00.0 53
25.2%
23:59:59.0 46
21.9%
2018-08-31 45
21.4%
2019-01-26 4
 
1.9%
2021-01-02 3
 
1.4%
00:23:13.0 3
 
1.4%
2020-06-05 2
 
1.0%
2019-01-12 2
 
1.0%
2019-09-11 2
 
1.0%
2020-06-27 2
 
1.0%
Other values (45) 48
22.9%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(x)
Real number (ℝ)

Distinct84
Distinct (%)80.8%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean390018.71
Minimum373512.36
Maximum403426.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T05:53:20.176253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum373512.36
5-th percentile382298.93
Q1387865.72
median390502.25
Q3392216.4
95-th percentile397954.47
Maximum403426.48
Range29914.124
Interquartile range (IQR)4350.6815

Descriptive statistics

Standard deviation4874.1043
Coefficient of variation (CV)0.012497104
Kurtosis1.7174217
Mean390018.71
Median Absolute Deviation (MAD)2362.4258
Skewness-0.2031136
Sum40561946
Variance23756893
MonotonicityNot monotonic
2024-04-18T05:53:20.277772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
390782.920049317 4
 
3.8%
382298.930496 2
 
1.9%
387082.032560037 2
 
1.9%
397988.014887742 2
 
1.9%
391130.360384722 2
 
1.9%
377251.892703857 2
 
1.9%
390552.681148793 2
 
1.9%
391236.731927596 2
 
1.9%
390688.560676822 2
 
1.9%
390249.59997112 2
 
1.9%
Other values (74) 82
78.1%
ValueCountFrequency (%)
373512.357679862 1
1.0%
377251.892703857 2
1.9%
381704.216984208 1
1.0%
381982.833821596 1
1.0%
382298.930496 2
1.9%
382455.238785026 1
1.0%
382573.831189714 1
1.0%
384829.99520269 2
1.9%
384895.9640319 1
1.0%
385077.098518744 1
1.0%
ValueCountFrequency (%)
403426.481984787 1
1.0%
403297.832205788 1
1.0%
401473.933606044 1
1.0%
398077.592060565 1
1.0%
397988.014887742 2
1.9%
397764.36636716 1
1.0%
396962.3377421 1
1.0%
396848.162435114 1
1.0%
396311.478370083 2
1.9%
396180.621244719 1
1.0%

좌표정보(y)
Real number (ℝ)

Distinct84
Distinct (%)80.8%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean186541.59
Minimum177053.82
Maximum209040.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T05:53:20.382620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177053.82
5-th percentile179580.84
Q1183935.87
median185929.7
Q3187938.98
95-th percentile195018.28
Maximum209040.03
Range31986.206
Interquartile range (IQR)4003.1074

Descriptive statistics

Standard deviation5171.027
Coefficient of variation (CV)0.027720505
Kurtosis2.9699229
Mean186541.59
Median Absolute Deviation (MAD)2005.9733
Skewness1.1532068
Sum19400325
Variance26739521
MonotonicityNot monotonic
2024-04-18T05:53:20.489648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
182920.171242687 4
 
3.8%
191036.161979 2
 
1.9%
187755.256289444 2
 
1.9%
187938.979810581 2
 
1.9%
184212.409130411 2
 
1.9%
180656.899733448 2
 
1.9%
196094.684275675 2
 
1.9%
183961.925783646 2
 
1.9%
182959.289181372 2
 
1.9%
192305.314316545 2
 
1.9%
Other values (74) 82
78.1%
ValueCountFrequency (%)
177053.822821527 2
1.9%
177446.75776892 1
1.0%
177502.589344059 1
1.0%
179580.295176299 2
1.9%
179583.942118219 1
1.0%
179619.466975961 1
1.0%
180225.685982991 1
1.0%
180239.623081052 1
1.0%
180656.899733448 2
1.9%
180884.342388486 2
1.9%
ValueCountFrequency (%)
209040.029039836 1
1.0%
201135.192463 1
1.0%
198759.092784606 1
1.0%
196094.684275675 2
1.9%
195046.158983367 1
1.0%
194860.33144543 1
1.0%
194669.898821687 1
1.0%
193896.1715796 1
1.0%
193593.348380989 1
1.0%
193514.713271729 1
1.0%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
공연장
105 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 105
100.0%

Length

2024-04-18T05:53:20.591646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:53:20.659066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 105
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size972.0 B
공연장
105 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 105
100.0%

Length

2024-04-18T05:53:20.728657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:53:20.797907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 105
100.0%

지역구분명
Categorical

IMBALANCE 

Distinct10
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size972.0 B
<NA>
81 
일반상업지역
 
8
자연녹지지역
 
5
일반주거지역
 
3
주거지역
 
2
Other values (5)
 
6

Length

Max length6
Median length4
Mean length4.3714286
Min length4

Unique

Unique4 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 81
77.1%
일반상업지역 8
 
7.6%
자연녹지지역 5
 
4.8%
일반주거지역 3
 
2.9%
주거지역 2
 
1.9%
준주거지역 2
 
1.9%
근린상업지역 1
 
1.0%
중심상업지역 1
 
1.0%
준공업지역 1
 
1.0%
상업지역 1
 
1.0%

Length

2024-04-18T05:53:20.875520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:53:20.969314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
77.1%
일반상업지역 8
 
7.6%
자연녹지지역 5
 
4.8%
일반주거지역 3
 
2.9%
주거지역 2
 
1.9%
준주거지역 2
 
1.9%
근린상업지역 1
 
1.0%
중심상업지역 1
 
1.0%
준공업지역 1
 
1.0%
상업지역 1
 
1.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)31.8%
Missing61
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean5.7272727
Minimum0
Maximum19
Zeros2
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T05:53:21.054489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile12.55
Maximum19
Range19
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.8721644
Coefficient of variation (CV)0.67609221
Kurtosis2.3424704
Mean5.7272727
Median Absolute Deviation (MAD)2
Skewness1.2414521
Sum252
Variance14.993658
MonotonicityNot monotonic
2024-04-18T05:53:21.138249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
5 9
 
8.6%
4 5
 
4.8%
9 5
 
4.8%
3 5
 
4.8%
2 4
 
3.8%
7 4
 
3.8%
10 2
 
1.9%
1 2
 
1.9%
8 2
 
1.9%
0 2
 
1.9%
Other values (4) 4
 
3.8%
(Missing) 61
58.1%
ValueCountFrequency (%)
0 2
 
1.9%
1 2
 
1.9%
2 4
3.8%
3 5
4.8%
4 5
4.8%
5 9
8.6%
6 1
 
1.0%
7 4
3.8%
8 2
 
1.9%
9 5
4.8%
ValueCountFrequency (%)
19 1
 
1.0%
15 1
 
1.0%
13 1
 
1.0%
10 2
 
1.9%
9 5
4.8%
8 2
 
1.9%
7 4
3.8%
6 1
 
1.0%
5 9
8.6%
4 5
4.8%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size972.0 B
<NA>
83 
기타
12 
주택가주변
 
4
아파트지역
 
3
학교정화(상대)
 
2

Length

Max length8
Median length4
Mean length3.952381
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 83
79.0%
기타 12
 
11.4%
주택가주변 4
 
3.8%
아파트지역 3
 
2.9%
학교정화(상대) 2
 
1.9%
유흥업소밀집지역 1
 
1.0%

Length

2024-04-18T05:53:21.232676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:53:21.312722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
79.0%
기타 12
 
11.4%
주택가주변 4
 
3.8%
아파트지역 3
 
2.9%
학교정화(상대 2
 
1.9%
유흥업소밀집지역 1
 
1.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

건물용도명
Categorical

Distinct4
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size972.0 B
<NA>
63 
문화시설
24 
근린생활시설
17 
호텔
 
1

Length

Max length6
Median length4
Mean length4.3047619
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 63
60.0%
문화시설 24
 
22.9%
근린생활시설 17
 
16.2%
호텔 1
 
1.0%

Length

2024-04-18T05:53:21.413709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:53:21.520854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
60.0%
문화시설 24
 
22.9%
근린생활시설 17
 
16.2%
호텔 1
 
1.0%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)27.7%
Missing58
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean5.0212766
Minimum0
Maximum15
Zeros2
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T05:53:21.619066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q36.5
95-th percentile13
Maximum15
Range15
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.5538672
Coefficient of variation (CV)0.70776169
Kurtosis1.2271638
Mean5.0212766
Median Absolute Deviation (MAD)2
Skewness1.2200737
Sum236
Variance12.629972
MonotonicityNot monotonic
2024-04-18T05:53:21.705514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3 11
 
10.5%
4 6
 
5.7%
5 5
 
4.8%
7 4
 
3.8%
6 4
 
3.8%
2 4
 
3.8%
1 3
 
2.9%
10 2
 
1.9%
13 2
 
1.9%
8 2
 
1.9%
Other values (3) 4
 
3.8%
(Missing) 58
55.2%
ValueCountFrequency (%)
0 2
 
1.9%
1 3
 
2.9%
2 4
 
3.8%
3 11
10.5%
4 6
5.7%
5 5
4.8%
6 4
 
3.8%
7 4
 
3.8%
8 2
 
1.9%
10 2
 
1.9%
ValueCountFrequency (%)
15 1
 
1.0%
14 1
 
1.0%
13 2
 
1.9%
10 2
 
1.9%
8 2
 
1.9%
7 4
 
3.8%
6 4
 
3.8%
5 5
4.8%
4 6
5.7%
3 11
10.5%

지하층수
Categorical

Distinct6
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size972.0 B
<NA>
57 
1
32 
2
8 
3
 
4
0
 
3

Length

Max length4
Median length4
Mean length2.6285714
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row<NA>
2nd row1
3rd row<NA>
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 57
54.3%
1 32
30.5%
2 8
 
7.6%
3 4
 
3.8%
0 3
 
2.9%
5 1
 
1.0%

Length

2024-04-18T05:53:21.804708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:53:21.896340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
54.3%
1 32
30.5%
2 8
 
7.6%
3 4
 
3.8%
0 3
 
2.9%
5 1
 
1.0%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
<NA>
103 
0
 
2

Length

Max length4
Median length4
Mean length3.9428571
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> 103
98.1%
0 2
 
1.9%

Length

2024-04-18T05:53:21.998368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:53:22.075164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 103
98.1%
0 2
 
1.9%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

시설규모
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
<NA>
103 
0
 
2

Length

Max length4
Median length4
Mean length3.9428571
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> 103
98.1%
0 2
 
1.9%

Length

2024-04-18T05:53:22.160678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:53:22.235890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 103
98.1%
0 2
 
1.9%

Unnamed: 63
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing105
Missing (%)100.0%
Memory size1.1 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
01공연장03_06_01_P3250000CDFE123000201100000120110714<NA>3폐업3폐업20170508<NA><NA><NA>1588-2757<NA>600031부산광역시 중구 광복동1가 59-1번지부산광역시 중구 광복로 82 (광복동1가)<NA>BNK부산은행조은극장 2관20170512092539I2018-08-31 23:59:59.0<NA>385379.792827179583.942118공연장공연장<NA>4<NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12공연장03_06_01_P3250000CDFE123000200300000120030828<NA>1영업/정상13영업중<NA><NA><NA><NA>462-1870<NA>600801부산광역시 중구 대청동4가 81-1번지부산광역시 중구 중구로 71 (대청동4가)600801가톨릭센타20190909160833U2019-09-11 02:40:00.0<NA>384895.964032180239.623081공연장공연장<NA>10<NA><NA><NA>문화시설101<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23공연장03_06_01_P3250000CDFE123000200400000120040625<NA>1영업/정상13영업중<NA><NA><NA><NA>790-7400<NA>600110부산광역시 중구 영주동 산 10-7번지부산광역시 중구 민주공원길 19 (영주동)600110민주공원 중극장20150415173343I2018-08-31 23:59:59.0<NA>384829.995203180884.342388공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34공연장03_06_01_P3250000CDFE123000200400000220040625<NA>1영업/정상13영업중<NA><NA><NA><NA>790-7400<NA>600110부산광역시 중구 영주동 산 10-7번지부산광역시 중구 민주공원길 19 (영주동)600110민주공원 소극장20150415173531I2018-08-31 23:59:59.0<NA>384829.995203180884.342388공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45공연장03_06_01_P3250000CDFE123000200900000120090401<NA>1영업/정상13영업중<NA><NA><NA><NA>1588-2757<NA>600042부산광역시 중구 남포동2가 25-10번지부산광역시 중구 구덕로34번길 4, 3층 (남포동2가, 쏠레마빌딩)600042BNK부산은행조은극장 1관20180413110026I2018-08-31 23:59:59.0<NA>385243.158544179580.295176공연장공연장<NA><NA><NA><NA><NA>문화시설131<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56공연장03_06_01_P3250000CDFE123000201400000120140313<NA>1영업/정상13영업중<NA><NA><NA><NA>1588-2757<NA>600042부산광역시 중구 남포동2가 25-10번지부산광역시 중구 구덕로34번길 4, 3층 (남포동2가, 쏠레마빌딩)600042BNK부산은행조은극장 2관20180413110053I2018-08-31 23:59:59.0<NA>385243.158544179580.295176공연장공연장<NA><NA><NA><NA><NA><NA>131<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67공연장03_06_01_P3250000CDFE123000202000000120200825<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동4가 37-5부산광역시 중구 40계단길 3, 지하1층 (중앙동4가)48930살롱 드 부산 102320200825144139I2020-08-27 00:23:13.0<NA>385464.22037180225.685983공연장공연장<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78공연장03_06_01_P3250000CDFE123000201500000120150617<NA>4취소/말소/만료/정지/중지35직권말소20190909<NA><NA><NA><NA><NA>600045부산광역시 중구 남포동5가 1-1번지부산광역시 중구 구덕로48번길 3, 4층 (남포동5가)600045키다리소극장20190909160614U2019-09-11 02:40:00.0<NA>385077.098519179619.466976공연장공연장<NA>4<NA><NA><NA>근린생활시설4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89공연장03_06_01_P3270000CDFE123000201300000120130917<NA>3폐업3폐업20150402<NA><NA><NA>051-661-8706<NA>601807부산광역시 동구 범일동 830-30번지 LIG손해보험 부산빌딩 3층부산광역시 동구 자성로133번길 15, 3층 (범일동)601807LIG아트홀20150403100255I2018-08-31 23:59:59.0<NA>388051.059111184077.56481공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910공연장03_06_01_P3270000CDFE123000199700000119970308<NA>3폐업3폐업20141223<NA><NA><NA>631-0660<NA>601720부산광역시 동구 범일동 825-3번지 눌원빌딩 지하1층부산광역시 동구 자성로 134 (범일동,눌원빌딩 지하1층)<NA>KRX 아트홀20150302161354I2018-08-31 23:59:59.0<NA>388138.761908183896.968674공연장공연장일반상업지역15아파트지역<NA><NA>근린생활시설153<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모Unnamed: 63
9596공연장03_06_01_P3380000CDFE123000201300000120130131<NA>1영업/정상13영업중<NA><NA><NA><NA>051-626-0116<NA>613011부산광역시 수영구 남천동 69-6번지부산광역시 수영구 수영로 421-1 (남천동)613011레몬트리소극장20190307115128U2019-03-09 02:40:00.0<NA>392128.255709184765.314836공연장공연장<NA><NA>기타<NA><NA>문화시설<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9697공연장03_06_01_P3380000CDFE123000201500000220150921<NA>1영업/정상13영업중<NA><NA><NA><NA>611-6616<NA><NA>부산광역시 수영구 남천동 12-19번지부산광역시 수영구 남천동로 7, 지하1층 (남천동, 장우빌딩)48307액터스소극장20150921102044I2018-08-31 23:59:59.0<NA>392207.132592184691.37107공연장공연장<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9798공연장03_06_01_P3380000CDFE123000201700000120171115<NA>1영업/정상13영업중<NA><NA><NA><NA>051-623-6232<NA><NA>부산광역시 수영구 수영동 525번지 채안빌딩부산광역시 수영구 수영로 765-1, 지하1층 (수영동)48222효로민락소극장20171121183415I2018-08-31 23:59:59.0<NA>393317.690074187369.742517공연장공연장<NA><NA>주택가주변<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9899공연장03_06_01_P3380000CDFE123000201800000120180118<NA>1영업/정상13영업중<NA><NA><NA><NA>0517601812<NA><NA>부산광역시 수영구 망미동 475-6번지 F1963부산광역시 수영구 구락로123번길 20, F1963 (망미동)48212석천홀20190315145114U2019-03-17 02:40:00.0<NA>392547.547272188491.683779공연장공연장상업지역<NA>기타<NA><NA>문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
99100공연장03_06_01_P3380000CDFE123000202000000120200831<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 수영구 남천동 47-9부산광역시 수영구 수영로 477, 화민빌딩 지하1층 (남천동)48265소극장 6번출구20200831113756I2020-09-02 00:23:13.0<NA>392244.211205185304.770772공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
100101공연장03_06_01_P3390000CDFE123000201300000120130708<NA>1영업/정상13영업중<NA><NA><NA><NA>051-999-5231<NA>617736부산광역시 사상구 괘법동 1-1번지부산광역시 사상구 백양대로700번길 140 (괘법동)617736신라대학교 예음관소극장20140508141643I2018-08-31 23:59:59.0<NA>381982.833822187734.82995공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
101102공연장03_06_01_P3390000CDFE123000201400000120140627<NA>1영업/정상13영업중<NA><NA><NA><NA>051-316-9111<NA>617841부산광역시 사상구 학장동 288-12번지 다누림센터1층부산광역시 사상구 가야대로196번길 51 (학장동, 다누림센터1층)617841다누림홀20160511145722I2018-08-31 23:59:59.0<NA>381704.216984184957.197797공연장공연장<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
102103공연장03_06_01_P3400000CDFE123000201900000120190919<NA>3폐업3폐업20191231<NA><NA><NA>051-626-7002<NA><NA>부산광역시 기장군 기장읍 당사리 524번지 롯데몰 동부산점부산광역시 기장군 기장읍 기장해안로 147, 롯데몰 동부산점 야외주차장46084매직서커스20200117164113U2020-01-19 02:40:00.0<NA>401473.933606190354.279832공연장공연장<NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
103104공연장03_06_01_P3400000CDFE123000201600000120160601<NA>1영업/정상13영업중<NA><NA><NA><NA>051-709-4062<NA><NA>부산광역시 기장군 장안읍 기룡리 산 126번지부산광역시 기장군 장안읍 장안로 211 (안데르센극장)46028안데르센극장20190108174329U2019-01-10 02:40:00.0<NA>403426.481985209040.02904공연장공연장<NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
104105공연장03_06_01_P3400000CDFE123000201700000120170703<NA>1영업/정상13영업중<NA><NA><NA><NA>051-723-0568<NA><NA>부산광역시 기장군 일광면 이천리 777-2번지부산광역시 기장군 일광면 이천6길 246043가마골 소극장20181129090100U2018-12-01 02:40:00.0<NA>403297.832206198759.092785공연장공연장<NA>5<NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>