Overview

Dataset statistics

Number of variables60
Number of observations51
Missing cells1869
Missing cells (%)61.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.4 KiB
Average record size in memory530.6 B

Variable types

Numeric10
Categorical10
Text5
Unsupported34
DateTime1

Dataset

Description2021-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123077

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
휴업시작일자 is highly imbalanced (86.1%)Imbalance
휴업종료일자 is highly imbalanced (86.1%)Imbalance
인허가취소일자 has 51 (100.0%) missing valuesMissing
폐업일자 has 40 (78.4%) missing valuesMissing
재개업일자 has 51 (100.0%) missing valuesMissing
소재지전화 has 31 (60.8%) missing valuesMissing
소재지면적 has 51 (100.0%) missing valuesMissing
소재지우편번호 has 43 (84.3%) missing valuesMissing
도로명전체주소 has 2 (3.9%) missing valuesMissing
도로명우편번호 has 17 (33.3%) missing valuesMissing
업태구분명 has 51 (100.0%) missing valuesMissing
좌표정보(x) has 1 (2.0%) missing valuesMissing
좌표정보(y) has 1 (2.0%) missing valuesMissing
문화사업자구분명 has 51 (100.0%) missing valuesMissing
총층수 has 51 (100.0%) missing valuesMissing
주변환경명 has 51 (100.0%) missing valuesMissing
제작취급품목내용 has 51 (100.0%) missing valuesMissing
시설면적 has 51 (100.0%) missing valuesMissing
지상층수 has 51 (100.0%) missing valuesMissing
지하층수 has 51 (100.0%) missing valuesMissing
건물용도명 has 51 (100.0%) missing valuesMissing
통로너비 has 51 (100.0%) missing valuesMissing
조명시설조도 has 51 (100.0%) missing valuesMissing
노래방실수 has 51 (100.0%) missing valuesMissing
청소년실수 has 51 (100.0%) missing valuesMissing
비상계단여부 has 51 (100.0%) missing valuesMissing
비상구여부 has 51 (100.0%) missing valuesMissing
자동환기여부 has 51 (100.0%) missing valuesMissing
청소년실여부 has 51 (100.0%) missing valuesMissing
특수조명여부 has 51 (100.0%) missing valuesMissing
방음시설여부 has 51 (100.0%) missing valuesMissing
비디오재생기명 has 51 (100.0%) missing valuesMissing
조명시설유무 has 51 (100.0%) missing valuesMissing
음향시설여부 has 51 (100.0%) missing valuesMissing
편의시설여부 has 51 (100.0%) missing valuesMissing
소방시설여부 has 51 (100.0%) missing valuesMissing
총게임기수 has 51 (100.0%) missing valuesMissing
기존게임업외업종명 has 51 (100.0%) missing valuesMissing
제공게임물명 has 51 (100.0%) missing valuesMissing
공연장형태구분명 has 51 (100.0%) missing valuesMissing
품목명 has 51 (100.0%) missing valuesMissing
지역구분명 has 51 (100.0%) missing valuesMissing
Unnamed: 59 has 51 (100.0%) missing valuesMissing
번호 has unique valuesUnique
사업장명 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
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
시설면적 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
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총게임기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 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
Unnamed: 59 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 16:48:05.910101
Analysis finished2024-04-17 16:48:06.366353
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-18T01:48:06.422857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2024-04-18T01:48:06.530957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
51 1
2.0%
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
영화상영업
51 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영업 51
100.0%

Length

2024-04-18T01:48:06.627152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:48:06.695131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영업 51
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
03_13_03_P
51 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_13_03_P
2nd row03_13_03_P
3rd row03_13_03_P
4th row03_13_03_P
5th row03_13_03_P

Common Values

ValueCountFrequency (%)
03_13_03_P 51
100.0%

Length

2024-04-18T01:48:06.765929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:48:06.835138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_13_03_p 51
100.0%

개방자치단체코드
Real number (ℝ)

Distinct13
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3310784.3
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-18T01:48:06.904826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13280000
median3330000
Q33330000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation42607.189
Coefficient of variation (CV)0.012869213
Kurtosis-0.4901621
Mean3310784.3
Median Absolute Deviation (MAD)20000
Skewness0.066313194
Sum1.6885 × 108
Variance1.8153725 × 109
MonotonicityIncreasing
2024-04-18T01:48:06.988008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3330000 17
33.3%
3250000 11
21.6%
3290000 5
 
9.8%
3320000 3
 
5.9%
3400000 3
 
5.9%
3300000 2
 
3.9%
3310000 2
 
3.9%
3340000 2
 
3.9%
3350000 2
 
3.9%
3260000 1
 
2.0%
Other values (3) 3
 
5.9%
ValueCountFrequency (%)
3250000 11
21.6%
3260000 1
 
2.0%
3270000 1
 
2.0%
3290000 5
 
9.8%
3300000 2
 
3.9%
3310000 2
 
3.9%
3320000 3
 
5.9%
3330000 17
33.3%
3340000 2
 
3.9%
3350000 2
 
3.9%
ValueCountFrequency (%)
3400000 3
 
5.9%
3380000 1
 
2.0%
3370000 1
 
2.0%
3350000 2
 
3.9%
3340000 2
 
3.9%
3330000 17
33.3%
3320000 3
 
5.9%
3310000 2
 
3.9%
3300000 2
 
3.9%
3290000 5
 
9.8%

관리번호
Text

Distinct32
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-04-18T01:48:07.180522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1020
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)37.3%

Sample

1st rowCDFF5211042000000002
2nd rowCDFF5211042000000001
3rd rowCDFF5211042019000001
4th rowCDFF5211042007000001
5th rowCDFF5211041999000001
ValueCountFrequency (%)
cdff5211042017000001 5
 
9.8%
cdff5211042019000001 4
 
7.8%
cdff5211042018000001 3
 
5.9%
cdff5211042010000001 2
 
3.9%
cdff5211042020000001 2
 
3.9%
cdff5211042008000001 2
 
3.9%
cdff5211042006000001 2
 
3.9%
cdff5211042015000001 2
 
3.9%
cdff5211042017000002 2
 
3.9%
cdff5211042011000001 2
 
3.9%
Other values (22) 25
49.0%
2024-04-18T01:48:07.443104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 372
36.5%
1 178
17.5%
2 116
 
11.4%
F 102
 
10.0%
5 54
 
5.3%
C 51
 
5.0%
D 51
 
5.0%
4 51
 
5.0%
9 20
 
2.0%
7 10
 
1.0%
Other values (3) 15
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 816
80.0%
Uppercase Letter 204
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 372
45.6%
1 178
21.8%
2 116
 
14.2%
5 54
 
6.6%
4 51
 
6.2%
9 20
 
2.5%
7 10
 
1.2%
3 7
 
0.9%
8 6
 
0.7%
6 2
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
F 102
50.0%
C 51
25.0%
D 51
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 816
80.0%
Latin 204
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 372
45.6%
1 178
21.8%
2 116
 
14.2%
5 54
 
6.6%
4 51
 
6.2%
9 20
 
2.5%
7 10
 
1.2%
3 7
 
0.9%
8 6
 
0.7%
6 2
 
0.2%
Latin
ValueCountFrequency (%)
F 102
50.0%
C 51
25.0%
D 51
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 372
36.5%
1 178
17.5%
2 116
 
11.4%
F 102
 
10.0%
5 54
 
5.3%
C 51
 
5.0%
D 51
 
5.0%
4 51
 
5.0%
9 20
 
2.0%
7 10
 
1.0%
Other values (3) 15
 
1.5%

인허가일자
Real number (ℝ)

Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20120077
Minimum19990721
Maximum20210203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-18T01:48:07.558504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990721
5-th percentile19991024
Q120080510
median20121026
Q320171104
95-th percentile20200656
Maximum20210203
Range219482
Interquartile range (IQR)90594.5

Descriptive statistics

Standard deviation66509.619
Coefficient of variation (CV)0.0033056344
Kurtosis-0.70998086
Mean20120077
Median Absolute Deviation (MAD)50075
Skewness-0.60685465
Sum1.0261239 × 109
Variance4.4235294 × 109
MonotonicityNot monotonic
2024-04-18T01:48:07.674862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19990721 2
 
3.9%
20000901 1
 
2.0%
20171108 1
 
2.0%
20170314 1
 
2.0%
20111109 1
 
2.0%
20111228 1
 
2.0%
20120809 1
 
2.0%
20121026 1
 
2.0%
20150319 1
 
2.0%
20150512 1
 
2.0%
Other values (40) 40
78.4%
ValueCountFrequency (%)
19990721 2
3.9%
19990820 1
2.0%
19991227 1
2.0%
20000901 1
2.0%
20001114 1
2.0%
20021206 1
2.0%
20031014 1
2.0%
20060720 1
2.0%
20061211 1
2.0%
20070320 1
2.0%
ValueCountFrequency (%)
20210203 1
2.0%
20210202 1
2.0%
20200812 1
2.0%
20200501 1
2.0%
20191017 1
2.0%
20190620 1
2.0%
20190322 1
2.0%
20190315 1
2.0%
20190107 1
2.0%
20180502 1
2.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

영업상태구분코드
Categorical

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
1
38 
3
10 
4
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 38
74.5%
3 10
 
19.6%
4 2
 
3.9%
2 1
 
2.0%

Length

2024-04-18T01:48:07.778688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:48:07.853763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 38
74.5%
3 10
 
19.6%
4 2
 
3.9%
2 1
 
2.0%

영업상태명
Categorical

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
영업/정상
38 
폐업
10 
취소/말소/만료/정지/중지
 
2
휴업
 
1

Length

Max length14
Median length5
Mean length4.7058824
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 38
74.5%
폐업 10
 
19.6%
취소/말소/만료/정지/중지 2
 
3.9%
휴업 1
 
2.0%

Length

2024-04-18T01:48:07.938680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:48:08.019155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 38
74.5%
폐업 10
 
19.6%
취소/말소/만료/정지/중지 2
 
3.9%
휴업 1
 
2.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
13
38 
3
10 
35
 
2
2
 
1

Length

Max length2
Median length2
Mean length1.7843137
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 38
74.5%
3 10
 
19.6%
35 2
 
3.9%
2 1
 
2.0%

Length

2024-04-18T01:48:08.100850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:48:08.177624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 38
74.5%
3 10
 
19.6%
35 2
 
3.9%
2 1
 
2.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
영업중
38 
폐업
10 
직권말소
 
2
휴업
 
1

Length

Max length4
Median length3
Mean length2.8235294
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 38
74.5%
폐업 10
 
19.6%
직권말소 2
 
3.9%
휴업 1
 
2.0%

Length

2024-04-18T01:48:08.272868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:48:08.360968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 38
74.5%
폐업 10
 
19.6%
직권말소 2
 
3.9%
휴업 1
 
2.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing40
Missing (%)78.4%
Infinite0
Infinite (%)0.0%
Mean27414511
Minimum20111221
Maximum99991231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-18T01:48:08.442151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20111221
5-th percentile20116118
Q120150461
median20161130
Q320175618
95-th percentile60091231
Maximum99991231
Range79880010
Interquartile range (IQR)25157

Descriptive statistics

Standard deviation24070987
Coefficient of variation (CV)0.87803818
Kurtosis10.999971
Mean27414511
Median Absolute Deviation (MAD)19399
Skewness3.3166187
Sum3.0155962 × 108
Variance5.7941242 × 1014
MonotonicityNot monotonic
2024-04-18T01:48:08.536038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20160617 1
 
2.0%
20170530 1
 
2.0%
20170707 1
 
2.0%
20121015 1
 
2.0%
20180529 1
 
2.0%
20161102 1
 
2.0%
99991231 1
 
2.0%
20111221 1
 
2.0%
20191231 1
 
2.0%
20140305 1
 
2.0%
(Missing) 40
78.4%
ValueCountFrequency (%)
20111221 1
2.0%
20121015 1
2.0%
20140305 1
2.0%
20160617 1
2.0%
20161102 1
2.0%
20161130 1
2.0%
20170530 1
2.0%
20170707 1
2.0%
20180529 1
2.0%
20191231 1
2.0%
ValueCountFrequency (%)
99991231 1
2.0%
20191231 1
2.0%
20180529 1
2.0%
20170707 1
2.0%
20170530 1
2.0%
20161130 1
2.0%
20161102 1
2.0%
20160617 1
2.0%
20140305 1
2.0%
20121015 1
2.0%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
50 
20200210
 
1

Length

Max length8
Median length4
Mean length4.0784314
Min length4

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
98.0%
20200210 1
 
2.0%

Length

2024-04-18T01:48:08.665688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:48:08.748687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
98.0%
20200210 1
 
2.0%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
50 
20210131
 
1

Length

Max length8
Median length4
Mean length4.0784314
Min length4

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
98.0%
20210131 1
 
2.0%

Length

2024-04-18T01:48:09.042587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:48:09.138390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
98.0%
20210131 1
 
2.0%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

소재지전화
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing31
Missing (%)60.8%
Memory size540.0 B
2024-04-18T01:48:09.264317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.2
Min length8

Characters and Unicode

Total characters204
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row247-1384
2nd row245-5441
3rd row241-1201
4th row246-4873
5th row256-6230
ValueCountFrequency (%)
051-245-5441 1
 
5.0%
241-1201 1
 
5.0%
051-808-7134 1
 
5.0%
051-703-4073 1
 
5.0%
051-583-5950 1
 
5.0%
051-205-0005 1
 
5.0%
051-704-9871 1
 
5.0%
051-747-1634 1
 
5.0%
747-6355 1
 
5.0%
731-7248 1
 
5.0%
Other values (10) 10
50.0%
2024-04-18T01:48:09.518022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 31
15.2%
0 30
14.7%
5 27
13.2%
1 24
11.8%
4 19
9.3%
7 19
9.3%
2 17
8.3%
8 12
 
5.9%
3 11
 
5.4%
6 9
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 173
84.8%
Dash Punctuation 31
 
15.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
17.3%
5 27
15.6%
1 24
13.9%
4 19
11.0%
7 19
11.0%
2 17
9.8%
8 12
 
6.9%
3 11
 
6.4%
6 9
 
5.2%
9 5
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 204
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 31
15.2%
0 30
14.7%
5 27
13.2%
1 24
11.8%
4 19
9.3%
7 19
9.3%
2 17
8.3%
8 12
 
5.9%
3 11
 
5.4%
6 9
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 204
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 31
15.2%
0 30
14.7%
5 27
13.2%
1 24
11.8%
4 19
9.3%
7 19
9.3%
2 17
8.3%
8 12
 
5.9%
3 11
 
5.4%
6 9
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing43
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean606774.75
Minimum600045
Maximum616807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-18T01:48:09.611704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600045
5-th percentile600047.1
Q1600083.25
median605314
Q3612502.75
95-th percentile616123.45
Maximum616807
Range16762
Interquartile range (IQR)12419.5

Descriptive statistics

Standard deviation6993.9226
Coefficient of variation (CV)0.01152639
Kurtosis-1.8441267
Mean606774.75
Median Absolute Deviation (MAD)5266
Skewness0.38382455
Sum4854198
Variance48914953
MonotonicityNot monotonic
2024-04-18T01:48:09.695938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
600045 1
 
2.0%
600051 1
 
2.0%
600094 1
 
2.0%
602800 1
 
2.0%
614854 1
 
2.0%
607828 1
 
2.0%
616807 1
 
2.0%
611719 1
 
2.0%
(Missing) 43
84.3%
ValueCountFrequency (%)
600045 1
2.0%
600051 1
2.0%
600094 1
2.0%
602800 1
2.0%
607828 1
2.0%
611719 1
2.0%
614854 1
2.0%
616807 1
2.0%
ValueCountFrequency (%)
616807 1
2.0%
614854 1
2.0%
611719 1
2.0%
607828 1
2.0%
602800 1
2.0%
600094 1
2.0%
600051 1
2.0%
600045 1
2.0%

소재지전체주소
Text

Distinct46
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-04-18T01:48:09.934457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length25.803922
Min length17

Characters and Unicode

Total characters1316
Distinct characters131
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

Unique41 ?
Unique (%)80.4%

Sample

1st row부산광역시 중구 남포동5가 12-1번지
2nd row부산광역시 중구 남포동6가 91번지
3rd row부산광역시 중구 대청동4가 81-1번지
4th row부산광역시 중구 남포동5가 24-1번지
5th row부산광역시 중구 남포동5가 18-1번지
ValueCountFrequency (%)
부산광역시 50
 
20.2%
해운대구 17
 
6.9%
우동 12
 
4.8%
중구 10
 
4.0%
부산진구 5
 
2.0%
1475번지 5
 
2.0%
좌동 4
 
1.6%
영상산업센터 3
 
1.2%
북구 3
 
1.2%
남포동5가 3
 
1.2%
Other values (107) 136
54.8%
2024-04-18T01:48:10.296752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
 
15.0%
부 61
 
4.6%
산 61
 
4.6%
1 59
 
4.5%
시 54
 
4.1%
동 54
 
4.1%
광 52
 
4.0%
역 50
 
3.8%
구 49
 
3.7%
지 49
 
3.7%
Other values (121) 630
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 820
62.3%
Decimal Number 254
 
19.3%
Space Separator 197
 
15.0%
Dash Punctuation 41
 
3.1%
Uppercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 61
 
7.4%
산 61
 
7.4%
시 54
 
6.6%
동 54
 
6.6%
광 52
 
6.3%
역 50
 
6.1%
구 49
 
6.0%
지 49
 
6.0%
번 47
 
5.7%
대 24
 
2.9%
Other values (105) 319
38.9%
Decimal Number
ValueCountFrequency (%)
1 59
23.2%
4 37
14.6%
6 31
12.2%
2 28
11.0%
7 28
11.0%
5 18
 
7.1%
8 18
 
7.1%
0 13
 
5.1%
9 12
 
4.7%
3 10
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
25.0%
G 1
25.0%
V 1
25.0%
B 1
25.0%
Space Separator
ValueCountFrequency (%)
197
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 820
62.3%
Common 492
37.4%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 61
 
7.4%
산 61
 
7.4%
시 54
 
6.6%
동 54
 
6.6%
광 52
 
6.3%
역 50
 
6.1%
구 49
 
6.0%
지 49
 
6.0%
번 47
 
5.7%
대 24
 
2.9%
Other values (105) 319
38.9%
Common
ValueCountFrequency (%)
197
40.0%
1 59
 
12.0%
- 41
 
8.3%
4 37
 
7.5%
6 31
 
6.3%
2 28
 
5.7%
7 28
 
5.7%
5 18
 
3.7%
8 18
 
3.7%
0 13
 
2.6%
Other values (2) 22
 
4.5%
Latin
ValueCountFrequency (%)
C 1
25.0%
G 1
25.0%
V 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 820
62.3%
ASCII 496
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
197
39.7%
1 59
 
11.9%
- 41
 
8.3%
4 37
 
7.5%
6 31
 
6.2%
2 28
 
5.6%
7 28
 
5.6%
5 18
 
3.6%
8 18
 
3.6%
0 13
 
2.6%
Other values (6) 26
 
5.2%
Hangul
ValueCountFrequency (%)
부 61
 
7.4%
산 61
 
7.4%
시 54
 
6.6%
동 54
 
6.6%
광 52
 
6.3%
역 50
 
6.1%
구 49
 
6.0%
지 49
 
6.0%
번 47
 
5.7%
대 24
 
2.9%
Other values (105) 319
38.9%

도로명전체주소
Text

MISSING 

Distinct48
Distinct (%)98.0%
Missing2
Missing (%)3.9%
Memory size540.0 B
2024-04-18T01:48:10.485080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length37
Mean length31.102041
Min length21

Characters and Unicode

Total characters1524
Distinct characters142
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

Unique47 ?
Unique (%)95.9%

Sample

1st row부산광역시 중구 비프광장로 37 (남포동5가)
2nd row부산광역시 중구 비프광장로 18 (남포동6가)
3rd row부산광역시 중구 중구로 71, 2층 (대청동4가)
4th row부산광역시 중구 비프광장로 28 (남포동5가)
5th row부산광역시 중구 비프광장로 36 (남포동5가)
ValueCountFrequency (%)
부산광역시 49
 
16.7%
해운대구 17
 
5.8%
우동 11
 
3.8%
중구 10
 
3.4%
해운대로 6
 
2.0%
부산진구 5
 
1.7%
센텀동로 5
 
1.7%
비프광장로 5
 
1.7%
39 4
 
1.4%
41 4
 
1.4%
Other values (134) 177
60.4%
2024-04-18T01:48:10.778569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
254
 
16.7%
부 59
 
3.9%
동 59
 
3.9%
산 59
 
3.9%
광 58
 
3.8%
시 51
 
3.3%
역 49
 
3.2%
구 49
 
3.2%
로 47
 
3.1%
1 47
 
3.1%
Other values (132) 792
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 913
59.9%
Space Separator 254
 
16.7%
Decimal Number 223
 
14.6%
Close Punctuation 46
 
3.0%
Open Punctuation 46
 
3.0%
Other Punctuation 36
 
2.4%
Dash Punctuation 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 59
 
6.5%
동 59
 
6.5%
산 59
 
6.5%
광 58
 
6.4%
시 51
 
5.6%
역 49
 
5.4%
구 49
 
5.4%
로 47
 
5.1%
대 38
 
4.2%
운 29
 
3.2%
Other values (117) 415
45.5%
Decimal Number
ValueCountFrequency (%)
1 47
21.1%
4 31
13.9%
2 26
11.7%
6 25
11.2%
0 25
11.2%
3 22
9.9%
5 14
 
6.3%
8 13
 
5.8%
7 12
 
5.4%
9 8
 
3.6%
Space Separator
ValueCountFrequency (%)
254
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 913
59.9%
Common 611
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 59
 
6.5%
동 59
 
6.5%
산 59
 
6.5%
광 58
 
6.4%
시 51
 
5.6%
역 49
 
5.4%
구 49
 
5.4%
로 47
 
5.1%
대 38
 
4.2%
운 29
 
3.2%
Other values (117) 415
45.5%
Common
ValueCountFrequency (%)
254
41.6%
1 47
 
7.7%
) 46
 
7.5%
( 46
 
7.5%
, 36
 
5.9%
4 31
 
5.1%
2 26
 
4.3%
6 25
 
4.1%
0 25
 
4.1%
3 22
 
3.6%
Other values (5) 53
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 913
59.9%
ASCII 611
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
254
41.6%
1 47
 
7.7%
) 46
 
7.5%
( 46
 
7.5%
, 36
 
5.9%
4 31
 
5.1%
2 26
 
4.3%
6 25
 
4.1%
0 25
 
4.1%
3 22
 
3.6%
Other values (5) 53
 
8.7%
Hangul
ValueCountFrequency (%)
부 59
 
6.5%
동 59
 
6.5%
산 59
 
6.5%
광 58
 
6.4%
시 51
 
5.6%
역 49
 
5.4%
구 49
 
5.4%
로 47
 
5.1%
대 38
 
4.2%
운 29
 
3.2%
Other values (117) 415
45.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)76.5%
Missing17
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean247266
Minimum46015
Maximum616816
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-18T01:48:10.874157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46015
5-th percentile46016.3
Q148058
median48661
Q3612022
95-th percentile615536.15
Maximum616816
Range570801
Interquartile range (IQR)563964

Descriptive statistics

Standard deviation274215.63
Coefficient of variation (CV)1.1089905
Kurtosis-1.6877522
Mean247266
Median Absolute Deviation (MAD)1867.5
Skewness0.64428877
Sum8407044
Variance7.5194213 × 1010
MonotonicityNot monotonic
2024-04-18T01:48:10.960839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
48059 4
 
7.8%
48058 3
 
5.9%
46015 2
 
3.9%
612022 2
 
3.9%
47296 2
 
3.9%
48789 1
 
2.0%
612020 1
 
2.0%
46017 1
 
2.0%
613806 1
 
2.0%
46215 1
 
2.0%
Other values (16) 16
31.4%
(Missing) 17
33.3%
ValueCountFrequency (%)
46015 2
3.9%
46017 1
 
2.0%
46215 1
 
2.0%
46291 1
 
2.0%
47296 2
3.9%
47351 1
 
2.0%
48058 3
5.9%
48059 4
7.8%
48094 1
 
2.0%
48533 1
 
2.0%
ValueCountFrequency (%)
616816 1
2.0%
616803 1
2.0%
614854 1
2.0%
613806 1
2.0%
612842 1
2.0%
612828 1
2.0%
612704 1
2.0%
612031 1
2.0%
612022 2
3.9%
612020 1
2.0%

사업장명
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-04-18T01:48:11.144878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length15
Mean length8.3921569
Min length3

Characters and Unicode

Total characters428
Distinct characters140
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

Unique51 ?
Unique (%)100.0%

Sample

1st row대영시네마타운
2nd row(주)국도극장
3rd row주식회사 인생극장
4th row(주)씨네시티부산
5th row부산극장
ValueCountFrequency (%)
주식회사 10
 
14.1%
대영시네마타운 1
 
1.4%
우리시네마 1
 
1.4%
재단법인 1
 
1.4%
영화의전당 1
 
1.4%
큐엠시네마 1
 
1.4%
씨네플레이 1
 
1.4%
주)브이알코리아 1
 
1.4%
이지 1
 
1.4%
시네마 1
 
1.4%
Other values (52) 52
73.2%
2024-04-18T01:48:11.435730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 25
 
5.8%
20
 
4.7%
) 18
 
4.2%
( 18
 
4.2%
네 17
 
4.0%
시 15
 
3.5%
사 14
 
3.3%
마 13
 
3.0%
씨 11
 
2.6%
이 11
 
2.6%
Other values (130) 266
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 350
81.8%
Space Separator 20
 
4.7%
Close Punctuation 18
 
4.2%
Open Punctuation 18
 
4.2%
Uppercase Letter 15
 
3.5%
Other Punctuation 3
 
0.7%
Lowercase Letter 3
 
0.7%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 25
 
7.1%
네 17
 
4.9%
시 15
 
4.3%
사 14
 
4.0%
마 13
 
3.7%
씨 11
 
3.1%
이 11
 
3.1%
식 10
 
2.9%
회 10
 
2.9%
스 10
 
2.9%
Other values (112) 214
61.1%
Uppercase Letter
ValueCountFrequency (%)
C 4
26.7%
N 3
20.0%
O 2
13.3%
F 1
 
6.7%
U 1
 
6.7%
M 1
 
6.7%
Y 1
 
6.7%
L 1
 
6.7%
A 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
d 1
33.3%
t 1
33.3%
o 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 350
81.8%
Common 60
 
14.0%
Latin 18
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 25
 
7.1%
네 17
 
4.9%
시 15
 
4.3%
사 14
 
4.0%
마 13
 
3.7%
씨 11
 
3.1%
이 11
 
3.1%
식 10
 
2.9%
회 10
 
2.9%
스 10
 
2.9%
Other values (112) 214
61.1%
Latin
ValueCountFrequency (%)
C 4
22.2%
N 3
16.7%
O 2
11.1%
F 1
 
5.6%
U 1
 
5.6%
M 1
 
5.6%
Y 1
 
5.6%
d 1
 
5.6%
t 1
 
5.6%
L 1
 
5.6%
Other values (2) 2
11.1%
Common
ValueCountFrequency (%)
20
33.3%
) 18
30.0%
( 18
30.0%
. 2
 
3.3%
, 1
 
1.7%
3 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 350
81.8%
ASCII 78
 
18.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 25
 
7.1%
네 17
 
4.9%
시 15
 
4.3%
사 14
 
4.0%
마 13
 
3.7%
씨 11
 
3.1%
이 11
 
3.1%
식 10
 
2.9%
회 10
 
2.9%
스 10
 
2.9%
Other values (112) 214
61.1%
ASCII
ValueCountFrequency (%)
20
25.6%
) 18
23.1%
( 18
23.1%
C 4
 
5.1%
N 3
 
3.8%
. 2
 
2.6%
O 2
 
2.6%
F 1
 
1.3%
U 1
 
1.3%
M 1
 
1.3%
Other values (8) 8
 
10.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0158451 × 1013
Minimum2.0100416 × 1013
Maximum2.0210203 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-18T01:48:11.550186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0100416 × 1013
5-th percentile2.0100423 × 1013
Q12.0120708 × 1013
median2.0170214 × 1013
Q32.0190319 × 1013
95-th percentile2.020086 × 1013
Maximum2.0210203 × 1013
Range1.0978698 × 1011
Interquartile range (IQR)6.961046 × 1010

Descriptive statistics

Standard deviation3.6394252 × 1010
Coefficient of variation (CV)0.0018054092
Kurtosis-1.2524691
Mean2.0158451 × 1013
Median Absolute Deviation (MAD)2.9008981 × 1010
Skewness-0.42503965
Sum1.028081 × 1015
Variance1.3245416 × 1021
MonotonicityNot monotonic
2024-04-18T01:48:11.661967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160617104020 1
 
2.0%
20110721140519 1
 
2.0%
20190322121903 1
 
2.0%
20200401092725 1
 
2.0%
20200907012116 1
 
2.0%
20120524134550 1
 
2.0%
20120809153023 1
 
2.0%
20121026153102 1
 
2.0%
20150319164755 1
 
2.0%
20160118134844 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
20100416154657 1
2.0%
20100416160718 1
2.0%
20100416161820 1
2.0%
20100430135333 1
2.0%
20100713093242 1
2.0%
20100713153817 1
2.0%
20100723170116 1
2.0%
20110721140519 1
2.0%
20111209140525 1
2.0%
20111223163747 1
2.0%
ValueCountFrequency (%)
20210203130757 1
2.0%
20210202122837 1
2.0%
20200907012116 1
2.0%
20200812163437 1
2.0%
20200501151929 1
2.0%
20200401092725 1
2.0%
20200210165157 1
2.0%
20200107092239 1
2.0%
20200106181326 1
2.0%
20191115193727 1
2.0%

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
I
45 
U
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 45
88.2%
U 6
 
11.8%

Length

2024-04-18T01:48:11.762529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:48:11.837857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 45
88.2%
u 6
 
11.8%

데이터갱신일자
Date

Distinct15
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2018-08-31 23:59:59
Maximum2021-02-05 00:23:13
2024-04-18T01:48:11.908603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T01:48:11.996908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)78.0%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean389941.93
Minimum377435.42
Maximum398275.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-18T01:48:12.096744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum377435.42
5-th percentile381697.68
Q1384993.24
median390192.12
Q3394020.72
95-th percentile398254.79
Maximum398275.48
Range20840.051
Interquartile range (IQR)9027.4843

Descriptive statistics

Standard deviation5502.5519
Coefficient of variation (CV)0.014111208
Kurtosis-0.82901761
Mean389941.93
Median Absolute Deviation (MAD)3846.4403
Skewness-0.1573135
Sum19497097
Variance30278077
MonotonicityNot monotonic
2024-04-18T01:48:12.191256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
394038.562998688 5
 
9.8%
393674.032955782 3
 
5.9%
398269.05154158 2
 
3.9%
384895.9640319 2
 
3.9%
398024.244821605 2
 
3.9%
384786.897439657 2
 
3.9%
390688.560676822 2
 
3.9%
398275.475596001 1
 
2.0%
393967.197052812 1
 
2.0%
393724.655115205 1
 
2.0%
Other values (29) 29
56.9%
ValueCountFrequency (%)
377435.42428816 1
2.0%
379212.079721725 1
2.0%
381077.868225122 1
2.0%
382455.238785026 1
2.0%
382731.210151804 1
2.0%
384270.27638882 1
2.0%
384786.897439657 2
3.9%
384871.0192493 1
2.0%
384895.9640319 2
3.9%
384919.410759915 1
2.0%
ValueCountFrequency (%)
398275.475596001 1
 
2.0%
398269.05154158 2
 
3.9%
398237.363461482 1
 
2.0%
398025.711375334 1
 
2.0%
398024.244821605 2
 
3.9%
396639.0 1
 
2.0%
394038.562998688 5
9.8%
393967.197052812 1
 
2.0%
393761.0 1
 
2.0%
393724.655115205 1
 
2.0%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)78.0%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean187081.78
Minimum178635.49
Maximum204621.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-18T01:48:12.309615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum178635.49
5-th percentile179585.69
Q1181242.6
median187861.06
Q3188329.65
95-th percentile201358.59
Maximum204621.66
Range25986.167
Interquartile range (IQR)7087.0457

Descriptive statistics

Standard deviation6308.0269
Coefficient of variation (CV)0.033718017
Kurtosis1.6797063
Mean187081.78
Median Absolute Deviation (MAD)2902.6203
Skewness1.0941519
Sum9354089.2
Variance39791203
MonotonicityNot monotonic
2024-04-18T01:48:12.411056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
188042.384551855 5
 
9.8%
187973.297243244 3
 
5.9%
187874.778091232 2
 
3.9%
180239.623081052 2
 
3.9%
204621.655738547 2
 
3.9%
179575.94945685 2
 
3.9%
182959.289181372 2
 
3.9%
187482.311955366 1
 
2.0%
188310.416723807 1
 
2.0%
187847.348782974 1
 
2.0%
Other values (29) 29
56.9%
ValueCountFrequency (%)
178635.489138666 1
2.0%
179575.94945685 2
3.9%
179597.592953541 1
2.0%
179600.395082956 1
2.0%
179609.207843307 1
2.0%
179699.072537973 1
2.0%
180152.282581326 1
2.0%
180224.702407469 1
2.0%
180239.623081052 2
3.9%
180390.068955488 1
2.0%
ValueCountFrequency (%)
204621.655738547 2
3.9%
204401.691446293 1
2.0%
197639.254869491 1
2.0%
194312.723690481 1
2.0%
193054.261689576 1
2.0%
192059.745558294 1
2.0%
191532.811119367 1
2.0%
191029.160519484 1
2.0%
190338.842631857 1
2.0%
190039.093331432 1
2.0%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
영화상영업
51 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영업 51
100.0%

Length

2024-04-18T01:48:12.513299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T01:48:12.586757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영업 51
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

총층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

시설면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

지상층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

지하층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

최초등록시점
Real number (ℝ)

Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20120077
Minimum19990721
Maximum20210203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-04-18T01:48:12.676099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990721
5-th percentile19991024
Q120080510
median20121026
Q320171104
95-th percentile20200656
Maximum20210203
Range219482
Interquartile range (IQR)90594.5

Descriptive statistics

Standard deviation66509.619
Coefficient of variation (CV)0.0033056344
Kurtosis-0.70998086
Mean20120077
Median Absolute Deviation (MAD)50075
Skewness-0.60685465
Sum1.0261239 × 109
Variance4.4235294 × 109
MonotonicityNot monotonic
2024-04-18T01:48:12.802554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19990721 2
 
3.9%
20000901 1
 
2.0%
20171108 1
 
2.0%
20170314 1
 
2.0%
20111109 1
 
2.0%
20111228 1
 
2.0%
20120809 1
 
2.0%
20121026 1
 
2.0%
20150319 1
 
2.0%
20150512 1
 
2.0%
Other values (40) 40
78.4%
ValueCountFrequency (%)
19990721 2
3.9%
19990820 1
2.0%
19991227 1
2.0%
20000901 1
2.0%
20001114 1
2.0%
20021206 1
2.0%
20031014 1
2.0%
20060720 1
2.0%
20061211 1
2.0%
20070320 1
2.0%
ValueCountFrequency (%)
20210203 1
2.0%
20210202 1
2.0%
20200812 1
2.0%
20200501 1
2.0%
20191017 1
2.0%
20190620 1
2.0%
20190322 1
2.0%
20190315 1
2.0%
20190107 1
2.0%
20180502 1
2.0%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01영화상영업03_13_03_P3250000CDFF521104200000000220000901<NA>3폐업3폐업20160617<NA><NA><NA>247-1384<NA><NA>부산광역시 중구 남포동5가 12-1번지부산광역시 중구 비프광장로 37 (남포동5가)<NA>대영시네마타운20160617104020I2018-08-31 23:59:59.0<NA>384985.448098179597.592954영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000901<NA><NA>
12영화상영업03_13_03_P3250000CDFF521104200000000120001114<NA>3폐업3폐업<NA><NA><NA><NA>245-5441<NA><NA>부산광역시 중구 남포동6가 91번지부산광역시 중구 비프광장로 18 (남포동6가)<NA>(주)국도극장20110721140519I2018-08-31 23:59:59.0<NA>384786.89744179575.949457영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20001114<NA><NA>
23영화상영업03_13_03_P3250000CDFF521104201900000120190107<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 대청동4가 81-1번지부산광역시 중구 중구로 71, 2층 (대청동4가)48968주식회사 인생극장20191115193727U2019-11-19 02:40:00.0<NA>384895.964032180239.623081영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20190107<NA><NA>
34영화상영업03_13_03_P3250000CDFF521104200700000120070320<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>600045부산광역시 중구 남포동5가 24-1번지부산광역시 중구 비프광장로 28 (남포동5가)<NA>(주)씨네시티부산20100416154657I2018-08-31 23:59:59.0<NA>384871.019249179600.395083영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070320<NA><NA>
45영화상영업03_13_03_P3250000CDFF521104199900000119990721<NA>1영업/정상13영업중<NA><NA><NA><NA>241-1201<NA><NA>부산광역시 중구 남포동5가 18-1번지부산광역시 중구 비프광장로 36 (남포동5가)<NA>부산극장20180621102815I2018-08-31 23:59:59.0<NA>384919.41076179609.207843영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990721<NA><NA>
56영화상영업03_13_03_P3250000CDFF521104199900000319990820<NA>1영업/정상13영업중<NA><NA><NA><NA>246-4873<NA>600051부산광역시 중구 창선동1가 14-2번지부산광역시 중구 광복로 43 (창선동1가)<NA>부경시네마20100416161820I2018-08-31 23:59:59.0<NA>385016.604749179699.072538영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990820<NA><NA>
67영화상영업03_13_03_P3250000CDFF521104200700000220070409<NA>1영업/정상13영업중<NA><NA><NA><NA>256-6230<NA><NA>부산광역시 중구 남포동6가 91번지부산광역시 중구 비프광장로 18 (남포동6가)<NA>(유한)국도타운20130926091906I2018-08-31 23:59:59.0<NA>384786.89744179575.949457영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070409<NA><NA>
78영화상영업03_13_03_P3250000CDFF521104200900000120090227<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>600094부산광역시 중구 대청동4가 81-1번지부산광역시 중구 중구로 71 (대청동4가)<NA>아트씨어터씨앤씨20100416160718I2018-08-31 23:59:59.0<NA>384895.964032180239.623081영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090227<NA><NA>
89영화상영업03_13_03_P3250000CDFF521104201700000120161207<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 동광동4가 18-4번지부산광역시 중구 동광길 14, 2층 204호 (동광동4가)48932아트온 트래블20170113140455I2018-08-31 23:59:59.0<NA>385406.182265180152.282581영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20161207<NA><NA>
910영화상영업03_13_03_P3250000CDFF521104202000000120200501<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 중앙동4가 37-32번지부산광역시 중구 40계단길 7, 4층 (중앙동4가)48930모퉁이극장20200501151929I2020-05-03 00:23:20.0<NA>385484.425383180224.702407영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20200501<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
4142영화상영업03_13_03_P3330000CDFF521104202100000120210202<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1466-2 영상산업센터 1008호부산광역시 해운대구 센텀서로 39, 영상산업센터 1008호 (우동)48058주식회사 퍼니콘(FUNNYCON Co., Ltd.)20210202122837I2021-02-04 00:23:03.0<NA>393674.032956187973.297243영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20210202<NA><NA>
4243영화상영업03_13_03_P3340000CDFF521104200900000120090326<NA>3폐업3폐업20140305<NA><NA><NA>051-205-0005<NA><NA>부산광역시 사하구 하단동 1149-5번지부산광역시 사하구 낙동남로1233번길 20 (하단동)<NA>부산시네마20161101141842I2018-08-31 23:59:59.0<NA>377435.424288180670.375797영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090326<NA><NA>
4344영화상영업03_13_03_P3340000CDFF521104201700000120170214<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 사하구 하단동 526-6번지부산광역시 사하구 낙동남로 1413 (하단동, 아트몰링)49311주식회사 아트몰링20170214151807I2018-08-31 23:59:59.0<NA>379212.079722180390.068955영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20170214<NA><NA>
4445영화상영업03_13_03_P3350000CDFF521104201100000120110714<NA>3폐업3폐업20161130<NA><NA><NA>051-583-5950<NA><NA>부산광역시 금정구 장전동 292-4번지 라퓨타아일랜드 7층부산광역시 금정구 장전로12번길 55 (장전동, 라퓨타아일랜드)46291메가박스 주식회사20161130153436I2018-08-31 23:59:59.0<NA>390026.769542194312.72369영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20110714<NA><NA>
4546영화상영업03_13_03_P3350000CDFF521104201800000120180220<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 금정구 남산동 32-11번지 4층 일부부산광역시 금정구 금단로 123, 4층 (남산동)46215주식회사 씨티에스시네마20180220104018I2018-08-31 23:59:59.0<NA>390357.475825197639.254869영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20180220<NA><NA>
4647영화상영업03_13_03_P3370000CDFF521104200600000120060720<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>611719부산광역시 연제구 거제동 1487-1번지 정림빌딩1406호부산광역시 연제구 법원로 34 (거제동,정림빌딩1406호)<NA>(주)칸느20100723170116I2018-08-31 23:59:59.0<NA>388894.283011190039.093331영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20060720<NA><NA>
4748영화상영업03_13_03_P3380000CDFF521104201300000120130812<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 수영구 광안동 88-34번지 센텀캐슬 B동301호부산광역시 수영구 수영로 674-3 (광안동)613806영화사 새삶20141205170648I2018-08-31 23:59:59.0<NA>392716.639962187237.558435영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20130812<NA><NA>
4849영화상영업03_13_03_P3400000CDFF521104201700000120171023<NA>1영업/정상13영업중<NA><NA><NA><NA>051-703-4073<NA><NA>부산광역시 기장군 정관읍 매학리 777-1번지부산광역시 기장군 정관읍 정관6로 3946017(주)큐엠시네마 정관20180315104359I2018-08-31 23:59:59.0<NA>398025.711375204401.691446영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20171023<NA><NA>
4950영화상영업03_13_03_P3400000CDFF521104201700000220171212<NA>1영업/정상13영업중<NA><NA><NA><NA>051-727-1651<NA><NA>부산광역시 기장군 정관읍 매학리 717-6번지부산광역시 기장군 정관읍 정관중앙로 4546015조은플러스20171212085915I2018-08-31 23:59:59.0<NA>398024.244822204621.655739영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20171212<NA><NA>
5051영화상영업03_13_03_P3400000CDFF521104201900000120191017<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 정관읍 매학리 717-6번지부산광역시 기장군 정관읍 정관중앙로 45, 218호 외 11개 호실46015오엠(OM)엔터프라이즈20191017163736I2019-10-19 00:22:53.0<NA>398024.244822204621.655739영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20191017<NA><NA>