Overview

Dataset statistics

Number of variables60
Number of observations68
Missing cells1919
Missing cells (%)47.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.9 KiB
Average record size in memory525.9 B

Variable types

Numeric10
Categorical17
Text5
Unsupported26
Boolean2

Dataset

Description2021-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123062

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
데이터갱신구분 has constant value ""Constant
데이터갱신일자 has constant value ""Constant
문화체육업종명 has constant value ""Constant
편의시설여부 has constant value ""Constant
소방시설여부 has constant value ""Constant
개방자치단체코드 is highly imbalanced (88.9%)Imbalance
인허가취소일자 is highly imbalanced (86.1%)Imbalance
휴업시작일자 is highly imbalanced (73.9%)Imbalance
휴업종료일자 is highly imbalanced (73.9%)Imbalance
도로명우편번호 is highly imbalanced (88.9%)Imbalance
폐업일자 has 11 (16.2%) missing valuesMissing
재개업일자 has 68 (100.0%) missing valuesMissing
소재지면적 has 68 (100.0%) missing valuesMissing
소재지우편번호 has 11 (16.2%) missing valuesMissing
도로명전체주소 has 6 (8.8%) missing valuesMissing
업태구분명 has 68 (100.0%) missing valuesMissing
좌표정보(x) has 2 (2.9%) missing valuesMissing
좌표정보(y) has 2 (2.9%) missing valuesMissing
총층수 has 15 (22.1%) missing valuesMissing
주변환경명 has 68 (100.0%) missing valuesMissing
제작취급품목내용 has 68 (100.0%) missing valuesMissing
시설면적 has 17 (25.0%) missing valuesMissing
지상층수 has 17 (25.0%) missing valuesMissing
통로너비 has 68 (100.0%) missing valuesMissing
조명시설조도 has 68 (100.0%) missing valuesMissing
노래방실수 has 68 (100.0%) missing valuesMissing
청소년실수 has 68 (100.0%) missing valuesMissing
비상계단여부 has 68 (100.0%) missing valuesMissing
비상구여부 has 68 (100.0%) missing valuesMissing
자동환기여부 has 68 (100.0%) missing valuesMissing
청소년실여부 has 68 (100.0%) missing valuesMissing
특수조명여부 has 68 (100.0%) missing valuesMissing
방음시설여부 has 68 (100.0%) missing valuesMissing
비디오재생기명 has 68 (100.0%) missing valuesMissing
조명시설유무 has 68 (100.0%) missing valuesMissing
음향시설여부 has 68 (100.0%) missing valuesMissing
편의시설여부 has 35 (51.5%) missing valuesMissing
소방시설여부 has 35 (51.5%) missing valuesMissing
총게임기수 has 68 (100.0%) missing valuesMissing
기존게임업외업종명 has 68 (100.0%) missing valuesMissing
제공게임물명 has 68 (100.0%) missing valuesMissing
공연장형태구분명 has 68 (100.0%) missing valuesMissing
품목명 has 68 (100.0%) missing valuesMissing
최초등록시점 has 68 (100.0%) missing valuesMissing
지역구분명 has 68 (100.0%) missing valuesMissing
Unnamed: 59 has 68 (100.0%) missing valuesMissing
번호 has unique valuesUnique
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
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
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
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
최초등록시점 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
총층수 has 3 (4.4%) zerosZeros
시설면적 has 6 (8.8%) zerosZeros
지상층수 has 4 (5.9%) zerosZeros

Reproduction

Analysis started2024-04-20 19:51:01.834982
Analysis finished2024-04-20 19:51:02.581124
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.5
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-21T04:51:02.756549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.35
Q117.75
median34.5
Q351.25
95-th percentile64.65
Maximum68
Range67
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation19.77372
Coefficient of variation (CV)0.5731513
Kurtosis-1.2
Mean34.5
Median Absolute Deviation (MAD)17
Skewness0
Sum2346
Variance391
MonotonicityStrictly increasing
2024-04-21T04:51:03.192168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
45 1
 
1.5%
51 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
44 1
 
1.5%
36 1
 
1.5%
Other values (58) 58
85.3%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
68 1
1.5%
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size672.0 B
비디오물시청제공업
68 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물시청제공업 68
100.0%

Length

2024-04-21T04:51:03.610827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:51:03.914460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물시청제공업 68
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size672.0 B
03_10_04_P
68 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_10_04_P
2nd row03_10_04_P
3rd row03_10_04_P
4th row03_10_04_P
5th row03_10_04_P

Common Values

ValueCountFrequency (%)
03_10_04_P 68
100.0%

Length

2024-04-21T04:51:04.231266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:51:04.535670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_10_04_p 68
100.0%

개방자치단체코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size672.0 B
3290000
67 
3300000
 
1

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row3290000
2nd row3290000
3rd row3290000
4th row3290000
5th row3290000

Common Values

ValueCountFrequency (%)
3290000 67
98.5%
3300000 1
 
1.5%

Length

2024-04-21T04:51:04.850810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:51:05.161132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3290000 67
98.5%
3300000 1
 
1.5%

관리번호
Text

Distinct67
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size672.0 B
2024-04-21T04:51:05.917523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1360
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

Unique66 ?
Unique (%)97.1%

Sample

1st rowCDFF1242031996000011
2nd rowCDFF1242031996000012
3rd rowCDFF1242031998000005
4th rowCDFF1242032002000004
5th rowCDFF1242031996000005
ValueCountFrequency (%)
cdff1242031997000001 2
 
2.9%
cdff1242031996000002 1
 
1.5%
cdff1242032002000001 1
 
1.5%
cdff1242032001000007 1
 
1.5%
cdff1242032001000006 1
 
1.5%
cdff1242032001000005 1
 
1.5%
cdff1242032001000003 1
 
1.5%
cdff1242032001000002 1
 
1.5%
cdff1242031996000011 1
 
1.5%
cdff1242031996000001 1
 
1.5%
Other values (57) 57
83.8%
2024-04-21T04:51:07.145742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 437
32.1%
2 172
 
12.6%
1 152
 
11.2%
F 136
 
10.0%
9 106
 
7.8%
4 77
 
5.7%
3 77
 
5.7%
C 68
 
5.0%
D 68
 
5.0%
6 28
 
2.1%
Other values (3) 39
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1088
80.0%
Uppercase Letter 272
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 437
40.2%
2 172
 
15.8%
1 152
 
14.0%
9 106
 
9.7%
4 77
 
7.1%
3 77
 
7.1%
6 28
 
2.6%
8 20
 
1.8%
7 11
 
1.0%
5 8
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 136
50.0%
C 68
25.0%
D 68
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1088
80.0%
Latin 272
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 437
40.2%
2 172
 
15.8%
1 152
 
14.0%
9 106
 
9.7%
4 77
 
7.1%
3 77
 
7.1%
6 28
 
2.6%
8 20
 
1.8%
7 11
 
1.0%
5 8
 
0.7%
Latin
ValueCountFrequency (%)
F 136
50.0%
C 68
25.0%
D 68
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 437
32.1%
2 172
 
12.6%
1 152
 
11.2%
F 136
 
10.0%
9 106
 
7.8%
4 77
 
5.7%
3 77
 
5.7%
C 68
 
5.0%
D 68
 
5.0%
6 28
 
2.1%
Other values (3) 39
 
2.9%

인허가일자
Real number (ℝ)

Distinct57
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19981995
Minimum19960905
Maximum20021016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-21T04:51:07.567563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960905
5-th percentile19960905
Q119960921
median19980662
Q320000513
95-th percentile20017133
Maximum20021016
Range60111
Interquartile range (IQR)39592.5

Descriptive statistics

Standard deviation19534.505
Coefficient of variation (CV)0.00097760535
Kurtosis-0.97180351
Mean19981995
Median Absolute Deviation (MAD)19743
Skewness0.50275414
Sum1.3587756 × 109
Variance3.8159688 × 108
MonotonicityNot monotonic
2024-04-21T04:51:08.012282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19960906 6
 
8.8%
19960905 4
 
5.9%
19980805 2
 
2.9%
19960919 2
 
2.9%
19990326 2
 
2.9%
19960911 1
 
1.5%
20001009 1
 
1.5%
20001016 1
 
1.5%
20010417 1
 
1.5%
20010628 1
 
1.5%
Other values (47) 47
69.1%
ValueCountFrequency (%)
19960905 4
5.9%
19960906 6
8.8%
19960911 1
 
1.5%
19960912 1
 
1.5%
19960913 1
 
1.5%
19960917 1
 
1.5%
19960919 2
 
2.9%
19960920 1
 
1.5%
19960921 1
 
1.5%
19960925 1
 
1.5%
ValueCountFrequency (%)
20021016 1
1.5%
20021002 1
1.5%
20020420 1
1.5%
20020311 1
1.5%
20011231 1
1.5%
20011218 1
1.5%
20011110 1
1.5%
20011108 1
1.5%
20010928 1
1.5%
20010628 1
1.5%

인허가취소일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size672.0 B
<NA>
66 
20050324
 
1
20040902
 
1

Length

Max length8
Median length4
Mean length4.1176471
Min length4

Unique

Unique2 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 66
97.1%
20050324 1
 
1.5%
20040902 1
 
1.5%

Length

2024-04-21T04:51:08.407475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:51:08.613621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 66
97.1%
20050324 1
 
1.5%
20040902 1
 
1.5%

영업상태구분코드
Categorical

Distinct4
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size672.0 B
3
53 
4
7 
1
 
5
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 53
77.9%
4 7
 
10.3%
1 5
 
7.4%
2 3
 
4.4%

Length

2024-04-21T04:51:08.794342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:51:08.981914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 53
77.9%
4 7
 
10.3%
1 5
 
7.4%
2 3
 
4.4%

영업상태명
Categorical

Distinct4
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size672.0 B
폐업
53 
취소/말소/만료/정지/중지
7 
영업/정상
 
5
휴업
 
3

Length

Max length14
Median length2
Mean length3.4558824
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 53
77.9%
취소/말소/만료/정지/중지 7
 
10.3%
영업/정상 5
 
7.4%
휴업 3
 
4.4%

Length

2024-04-21T04:51:09.177546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:51:09.366709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 53
77.9%
취소/말소/만료/정지/중지 7
 
10.3%
영업/정상 5
 
7.4%
휴업 3
 
4.4%

상세영업상태코드
Categorical

Distinct5
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size672.0 B
3
53 
13
 
5
35
 
4
2
 
3
30
 
3

Length

Max length2
Median length1
Mean length1.1764706
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 53
77.9%
13 5
 
7.4%
35 4
 
5.9%
2 3
 
4.4%
30 3
 
4.4%

Length

2024-04-21T04:51:09.560219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:51:09.746067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 53
77.9%
13 5
 
7.4%
35 4
 
5.9%
2 3
 
4.4%
30 3
 
4.4%

상세영업상태명
Categorical

Distinct5
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size672.0 B
폐업
53 
영업중
 
5
직권말소
 
4
휴업
 
3
허가취소
 
3

Length

Max length4
Median length2
Mean length2.2794118
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 53
77.9%
영업중 5
 
7.4%
직권말소 4
 
5.9%
휴업 3
 
4.4%
허가취소 3
 
4.4%

Length

2024-04-21T04:51:09.958730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:51:10.163728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 53
77.9%
영업중 5
 
7.4%
직권말소 4
 
5.9%
휴업 3
 
4.4%
허가취소 3
 
4.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)89.5%
Missing11
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean20039275
Minimum19990415
Maximum20180501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-21T04:51:10.384186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990415
5-th percentile19990910
Q120010424
median20030721
Q320041217
95-th percentile20124863
Maximum20180501
Range190086
Interquartile range (IQR)30793

Descriptive statistics

Standard deviation43929.929
Coefficient of variation (CV)0.0021921915
Kurtosis1.7277711
Mean20039275
Median Absolute Deviation (MAD)20214
Skewness1.4119491
Sum1.1422387 × 109
Variance1.9298387 × 109
MonotonicityNot monotonic
2024-04-21T04:51:10.645799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20100329 3
 
4.4%
20000115 2
 
2.9%
20021102 2
 
2.9%
19990910 2
 
2.9%
20030531 2
 
2.9%
20120824 1
 
1.5%
20041217 1
 
1.5%
20031006 1
 
1.5%
20040226 1
 
1.5%
20161104 1
 
1.5%
Other values (41) 41
60.3%
(Missing) 11
 
16.2%
ValueCountFrequency (%)
19990415 1
1.5%
19990610 1
1.5%
19990910 2
2.9%
19991026 1
1.5%
19991105 1
1.5%
20000115 2
2.9%
20000214 1
1.5%
20000731 1
1.5%
20001205 1
1.5%
20010107 1
1.5%
ValueCountFrequency (%)
20180501 1
 
1.5%
20161104 1
 
1.5%
20141019 1
 
1.5%
20120824 1
 
1.5%
20120111 1
 
1.5%
20100329 3
4.4%
20090423 1
 
1.5%
20080214 1
 
1.5%
20070613 1
 
1.5%
20070511 1
 
1.5%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size672.0 B
<NA>
65 
20021231
 
3

Length

Max length8
Median length4
Mean length4.1764706
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20021231
2nd row20021231
3rd row20021231
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 65
95.6%
20021231 3
 
4.4%

Length

2024-04-21T04:51:11.093641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:51:11.282457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
95.6%
20021231 3
 
4.4%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size672.0 B
<NA>
65 
20021231
 
3

Length

Max length8
Median length4
Mean length4.1764706
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20021231
2nd row20021231
3rd row20021231
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 65
95.6%
20021231 3
 
4.4%

Length

2024-04-21T04:51:11.480878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:51:11.689116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
95.6%
20021231 3
 
4.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

소재지전화
Text

Distinct67
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size672.0 B
2024-04-21T04:51:12.504261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.8676471
Min length6

Characters and Unicode

Total characters535
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

Unique66 ?
Unique (%)97.1%

Sample

1st row808-5479
2nd row806-9988
3rd row806-860
4th row802-4573
5th row802-1452
ValueCountFrequency (%)
807-6147 2
 
2.9%
807-8482 1
 
1.5%
804-702 1
 
1.5%
807-5557 1
 
1.5%
805-5178 1
 
1.5%
816-1386 1
 
1.5%
808-6919 1
 
1.5%
894-6700 1
 
1.5%
868-551 1
 
1.5%
806-5969 1
 
1.5%
Other values (57) 57
83.8%
2024-04-21T04:51:13.549620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 97
18.1%
- 69
12.9%
0 52
9.7%
6 51
9.5%
7 48
9.0%
5 41
7.7%
1 39
7.3%
2 39
7.3%
4 37
 
6.9%
9 35
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 466
87.1%
Dash Punctuation 69
 
12.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 97
20.8%
0 52
11.2%
6 51
10.9%
7 48
10.3%
5 41
8.8%
1 39
8.4%
2 39
8.4%
4 37
 
7.9%
9 35
 
7.5%
3 27
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 535
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 97
18.1%
- 69
12.9%
0 52
9.7%
6 51
9.5%
7 48
9.0%
5 41
7.7%
1 39
7.3%
2 39
7.3%
4 37
 
6.9%
9 35
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 535
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 97
18.1%
- 69
12.9%
0 52
9.7%
6 51
9.5%
7 48
9.0%
5 41
7.7%
1 39
7.3%
2 39
7.3%
4 37
 
6.9%
9 35
 
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)22.8%
Missing11
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean614722.74
Minimum607804
Maximum614872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-21T04:51:13.755312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum607804
5-th percentile614821.4
Q1614845
median614846
Q3614853
95-th percentile614856
Maximum614872
Range7068
Interquartile range (IQR)8

Descriptive statistics

Standard deviation932.83599
Coefficient of variation (CV)0.0015174906
Kurtosis56.983901
Mean614722.74
Median Absolute Deviation (MAD)1
Skewness-7.5482665
Sum35039196
Variance870182.98
MonotonicityNot monotonic
2024-04-21T04:51:13.960719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
614846 14
20.6%
614853 10
14.7%
614847 8
11.8%
614845 8
11.8%
614856 5
 
7.4%
614850 3
 
4.4%
614826 2
 
2.9%
614803 2
 
2.9%
614872 1
 
1.5%
614849 1
 
1.5%
Other values (3) 3
 
4.4%
(Missing) 11
16.2%
ValueCountFrequency (%)
607804 1
 
1.5%
614803 2
 
2.9%
614826 2
 
2.9%
614829 1
 
1.5%
614844 1
 
1.5%
614845 8
11.8%
614846 14
20.6%
614847 8
11.8%
614849 1
 
1.5%
614850 3
 
4.4%
ValueCountFrequency (%)
614872 1
 
1.5%
614856 5
 
7.4%
614853 10
14.7%
614850 3
 
4.4%
614849 1
 
1.5%
614847 8
11.8%
614846 14
20.6%
614845 8
11.8%
614844 1
 
1.5%
614829 1
 
1.5%

소재지전체주소
Text

Distinct65
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size672.0 B
2024-04-21T04:51:14.840881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length22.691176
Min length22

Characters and Unicode

Total characters1543
Distinct characters38
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)91.2%

Sample

1st row부산광역시 부산진구 부전동 522-10번지
2nd row부산광역시 부산진구 부전동 517-33번지
3rd row부산광역시 부산진구 부전동 233-16번지
4th row부산광역시 부산진구 부전동 192-4번지
5th row부산광역시 부산진구 부전동 196-2번지
ValueCountFrequency (%)
부산광역시 68
24.8%
부산진구 67
24.5%
부전동 44
16.1%
양정동 16
 
5.8%
당감동 3
 
1.1%
가야동 2
 
0.7%
170-20번지 2
 
0.7%
196-2번지 2
 
0.7%
219-1번지 2
 
0.7%
명륜동 1
 
0.4%
Other values (67) 67
24.5%
2024-04-21T04:51:16.252198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
206
 
13.4%
부 179
 
11.6%
산 135
 
8.7%
2 69
 
4.5%
동 69
 
4.5%
지 69
 
4.5%
광 68
 
4.4%
역 68
 
4.4%
시 68
 
4.4%
구 68
 
4.4%
Other values (28) 544
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 955
61.9%
Decimal Number 314
 
20.3%
Space Separator 206
 
13.4%
Dash Punctuation 68
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 179
18.7%
산 135
14.1%
동 69
 
7.2%
지 69
 
7.2%
광 68
 
7.1%
역 68
 
7.1%
시 68
 
7.1%
구 68
 
7.1%
번 68
 
7.1%
진 67
 
7.0%
Other values (16) 96
10.1%
Decimal Number
ValueCountFrequency (%)
2 69
22.0%
1 49
15.6%
3 47
15.0%
6 27
 
8.6%
5 27
 
8.6%
9 26
 
8.3%
4 26
 
8.3%
0 16
 
5.1%
7 15
 
4.8%
8 12
 
3.8%
Space Separator
ValueCountFrequency (%)
206
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 955
61.9%
Common 588
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 179
18.7%
산 135
14.1%
동 69
 
7.2%
지 69
 
7.2%
광 68
 
7.1%
역 68
 
7.1%
시 68
 
7.1%
구 68
 
7.1%
번 68
 
7.1%
진 67
 
7.0%
Other values (16) 96
10.1%
Common
ValueCountFrequency (%)
206
35.0%
2 69
 
11.7%
- 68
 
11.6%
1 49
 
8.3%
3 47
 
8.0%
6 27
 
4.6%
5 27
 
4.6%
9 26
 
4.4%
4 26
 
4.4%
0 16
 
2.7%
Other values (2) 27
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 955
61.9%
ASCII 588
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
206
35.0%
2 69
 
11.7%
- 68
 
11.6%
1 49
 
8.3%
3 47
 
8.0%
6 27
 
4.6%
5 27
 
4.6%
9 26
 
4.4%
4 26
 
4.4%
0 16
 
2.7%
Other values (2) 27
 
4.6%
Hangul
ValueCountFrequency (%)
부 179
18.7%
산 135
14.1%
동 69
 
7.2%
지 69
 
7.2%
광 68
 
7.1%
역 68
 
7.1%
시 68
 
7.1%
구 68
 
7.1%
번 68
 
7.1%
진 67
 
7.0%
Other values (16) 96
10.1%

도로명전체주소
Text

MISSING 

Distinct61
Distinct (%)98.4%
Missing6
Missing (%)8.8%
Memory size672.0 B
2024-04-21T04:51:17.183631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length27.16129
Min length24

Characters and Unicode

Total characters1684
Distinct characters59
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

Unique60 ?
Unique (%)96.8%

Sample

1st row부산광역시 부산진구 서면로 19 (부전동)
2nd row부산광역시 부산진구 가야대로784번길 51 (부전동)
3rd row부산광역시 부산진구 중앙대로 696 (부전동)
4th row부산광역시 부산진구 신천대로50번길 65 (부전동)
5th row부산광역시 부산진구 중앙대로680번길 34 (부전동)
ValueCountFrequency (%)
부산광역시 62
19.9%
부산진구 61
19.6%
부전동 40
12.8%
양정동 15
 
4.8%
서면로 13
 
4.2%
중앙대로 9
 
2.9%
신천대로62번길 5
 
1.6%
양지로5번길 4
 
1.3%
65 4
 
1.3%
가야대로784번길 3
 
1.0%
Other values (81) 96
30.8%
2024-04-21T04:51:18.583174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
310
18.4%
부 165
 
9.8%
산 123
 
7.3%
동 66
 
3.9%
진 63
 
3.7%
광 63
 
3.7%
( 63
 
3.7%
) 63
 
3.7%
시 62
 
3.7%
역 62
 
3.7%
Other values (49) 644
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1026
60.9%
Space Separator 310
 
18.4%
Decimal Number 210
 
12.5%
Open Punctuation 63
 
3.7%
Close Punctuation 63
 
3.7%
Dash Punctuation 9
 
0.5%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 165
16.1%
산 123
12.0%
동 66
 
6.4%
진 63
 
6.1%
광 63
 
6.1%
시 62
 
6.0%
역 62
 
6.0%
구 62
 
6.0%
로 62
 
6.0%
전 42
 
4.1%
Other values (34) 256
25.0%
Decimal Number
ValueCountFrequency (%)
6 32
15.2%
1 32
15.2%
9 25
11.9%
2 23
11.0%
4 21
10.0%
0 18
8.6%
8 18
8.6%
5 18
8.6%
7 13
6.2%
3 10
 
4.8%
Space Separator
ValueCountFrequency (%)
310
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1026
60.9%
Common 658
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 165
16.1%
산 123
12.0%
동 66
 
6.4%
진 63
 
6.1%
광 63
 
6.1%
시 62
 
6.0%
역 62
 
6.0%
구 62
 
6.0%
로 62
 
6.0%
전 42
 
4.1%
Other values (34) 256
25.0%
Common
ValueCountFrequency (%)
310
47.1%
( 63
 
9.6%
) 63
 
9.6%
6 32
 
4.9%
1 32
 
4.9%
9 25
 
3.8%
2 23
 
3.5%
4 21
 
3.2%
0 18
 
2.7%
8 18
 
2.7%
Other values (5) 53
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1026
60.9%
ASCII 658
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
310
47.1%
( 63
 
9.6%
) 63
 
9.6%
6 32
 
4.9%
1 32
 
4.9%
9 25
 
3.8%
2 23
 
3.5%
4 21
 
3.2%
0 18
 
2.7%
8 18
 
2.7%
Other values (5) 53
 
8.1%
Hangul
ValueCountFrequency (%)
부 165
16.1%
산 123
12.0%
동 66
 
6.4%
진 63
 
6.1%
광 63
 
6.1%
시 62
 
6.0%
역 62
 
6.0%
구 62
 
6.0%
로 62
 
6.0%
전 42
 
4.1%
Other values (34) 256
25.0%

도로명우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size672.0 B
<NA>
67 
47288
 
1

Length

Max length5
Median length4
Mean length4.0147059
Min length4

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 67
98.5%
47288 1
 
1.5%

Length

2024-04-21T04:51:18.829752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:51:19.020229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
98.5%
47288 1
 
1.5%

사업장명
Text

Distinct62
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size672.0 B
2024-04-21T04:51:19.667830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.5882353
Min length4

Characters and Unicode

Total characters584
Distinct characters114
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)83.8%

Sample

1st row대부비디오감상실
2nd row꿈꾸는골목비디오감상
3rd row센타포드비디오감상실
4th row넥스트dvd감상실
5th row아카데미비디오감상실
ValueCountFrequency (%)
스크린비디오감상실 3
 
3.9%
오스카비디오감상실 2
 
2.6%
깐느비디오감상실 2
 
2.6%
아카데미비디오감상실 2
 
2.6%
베니스비디오감상실 2
 
2.6%
시네마타운 1
 
1.3%
시네마패러디 1
 
1.3%
디지털플라자 1
 
1.3%
비디오감상실 1
 
1.3%
스피드 1
 
1.3%
Other values (60) 60
78.9%
2024-04-21T04:51:20.615842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 56
 
9.6%
감 56
 
9.6%
실 50
 
8.6%
오 45
 
7.7%
디 44
 
7.5%
비 42
 
7.2%
스 21
 
3.6%
화 15
 
2.6%
영 14
 
2.4%
D 12
 
2.1%
Other values (104) 229
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 528
90.4%
Uppercase Letter 26
 
4.5%
Lowercase Letter 11
 
1.9%
Decimal Number 10
 
1.7%
Space Separator 8
 
1.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 56
 
10.6%
감 56
 
10.6%
실 50
 
9.5%
오 45
 
8.5%
디 44
 
8.3%
비 42
 
8.0%
스 21
 
4.0%
화 15
 
2.8%
영 14
 
2.7%
드 12
 
2.3%
Other values (87) 173
32.8%
Uppercase Letter
ValueCountFrequency (%)
D 12
46.2%
V 6
23.1%
C 3
 
11.5%
M 3
 
11.5%
S 1
 
3.8%
K 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
0 4
40.0%
1 2
20.0%
3 2
20.0%
7 1
 
10.0%
2 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
d 6
54.5%
v 3
27.3%
t 1
 
9.1%
m 1
 
9.1%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 528
90.4%
Latin 37
 
6.3%
Common 19
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 56
 
10.6%
감 56
 
10.6%
실 50
 
9.5%
오 45
 
8.5%
디 44
 
8.3%
비 42
 
8.0%
스 21
 
4.0%
화 15
 
2.8%
영 14
 
2.7%
드 12
 
2.3%
Other values (87) 173
32.8%
Latin
ValueCountFrequency (%)
D 12
32.4%
d 6
16.2%
V 6
16.2%
v 3
 
8.1%
C 3
 
8.1%
M 3
 
8.1%
t 1
 
2.7%
m 1
 
2.7%
S 1
 
2.7%
K 1
 
2.7%
Common
ValueCountFrequency (%)
8
42.1%
0 4
21.1%
1 2
 
10.5%
3 2
 
10.5%
7 1
 
5.3%
? 1
 
5.3%
2 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 528
90.4%
ASCII 56
 
9.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 56
 
10.6%
감 56
 
10.6%
실 50
 
9.5%
오 45
 
8.5%
디 44
 
8.3%
비 42
 
8.0%
스 21
 
4.0%
화 15
 
2.8%
영 14
 
2.7%
드 12
 
2.3%
Other values (87) 173
32.8%
ASCII
ValueCountFrequency (%)
D 12
21.4%
8
14.3%
d 6
10.7%
V 6
10.7%
0 4
 
7.1%
v 3
 
5.4%
C 3
 
5.4%
M 3
 
5.4%
1 2
 
3.6%
3 2
 
3.6%
Other values (7) 7
12.5%

최종수정시점
Real number (ℝ)

Distinct41
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0052226 × 1013
Minimum2.0030127 × 1013
Maximum2.0180501 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-21T04:51:20.844785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030127 × 1013
5-th percentile2.0030127 × 1013
Q12.0030127 × 1013
median2.0031111 × 1013
Q32.0062947 × 1013
95-th percentile2.0120577 × 1013
Maximum2.0180501 × 1013
Range1.5037394 × 1011
Interquartile range (IQR)3.2820239 × 1010

Descriptive statistics

Standard deviation3.5312486 × 1010
Coefficient of variation (CV)0.0017610257
Kurtosis2.7754786
Mean2.0052226 × 1013
Median Absolute Deviation (MAD)9.8394667 × 108
Skewness1.8096405
Sum1.3635514 × 1015
Variance1.2469716 × 1021
MonotonicityNot monotonic
2024-04-21T04:51:21.087342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
20030127161348 28
41.2%
20090720173504 1
 
1.5%
20031111104513 1
 
1.5%
20031111105112 1
 
1.5%
20040308155340 1
 
1.5%
20031111105735 1
 
1.5%
20050817142712 1
 
1.5%
20100316104027 1
 
1.5%
20100401152652 1
 
1.5%
20080930110033 1
 
1.5%
Other values (31) 31
45.6%
ValueCountFrequency (%)
20030127161348 28
41.2%
20031111104513 1
 
1.5%
20031111105112 1
 
1.5%
20031111105334 1
 
1.5%
20031111105605 1
 
1.5%
20031111105735 1
 
1.5%
20031111105927 1
 
1.5%
20031111110108 1
 
1.5%
20031125094512 1
 
1.5%
20040226090202 1
 
1.5%
ValueCountFrequency (%)
20180501105154 1
1.5%
20161104163041 1
1.5%
20141028092620 1
1.5%
20120827113247 1
1.5%
20120111154556 1
1.5%
20100419093926 1
1.5%
20100419093903 1
1.5%
20100419093836 1
1.5%
20100401152652 1
1.5%
20100316104027 1
1.5%

데이터갱신구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size672.0 B
I
68 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 68
100.0%

Length

2024-04-21T04:51:21.348976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:51:21.511694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 68
100.0%

데이터갱신일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size672.0 B
2018-08-31 23:59:59.0
68 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
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 68
100.0%

Length

2024-04-21T04:51:21.682886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:51:21.847502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 68
50.0%
23:59:59.0 68
50.0%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)95.5%
Missing2
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean387709.2
Minimum385326.32
Maximum389303.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-21T04:51:22.035744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum385326.32
5-th percentile386853.23
Q1387435
median387561.49
Q3388288.31
95-th percentile388540.65
Maximum389303.41
Range3977.0918
Interquartile range (IQR)853.31303

Descriptive statistics

Standard deviation655.67032
Coefficient of variation (CV)0.0016911395
Kurtosis3.4534324
Mean387709.2
Median Absolute Deviation (MAD)151.69205
Skewness-0.8898999
Sum25588807
Variance429903.57
MonotonicityNot monotonic
2024-04-21T04:51:22.297956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
387619.502305482 2
 
2.9%
387785.244479896 2
 
2.9%
387837.697006505 2
 
2.9%
387515.121291263 1
 
1.5%
387514.133841202 1
 
1.5%
387530.944065681 1
 
1.5%
387470.858138831 1
 
1.5%
387472.219694761 1
 
1.5%
388506.505283312 1
 
1.5%
387599.728052343 1
 
1.5%
Other values (53) 53
77.9%
(Missing) 2
 
2.9%
ValueCountFrequency (%)
385326.315876542 1
1.5%
385525.134476106 1
1.5%
386379.052759587 1
1.5%
386684.020672741 1
1.5%
387360.876626953 1
1.5%
387396.407115621 1
1.5%
387396.997892035 1
1.5%
387400.812526929 1
1.5%
387409.530483328 1
1.5%
387410.058316448 1
1.5%
ValueCountFrequency (%)
389303.407678994 1
1.5%
388582.00175569 1
1.5%
388550.992604214 1
1.5%
388542.081209477 1
1.5%
388536.366822834 1
1.5%
388526.693840246 1
1.5%
388521.821019068 1
1.5%
388516.394069723 1
1.5%
388515.777115811 1
1.5%
388506.505283312 1
1.5%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)95.5%
Missing2
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean186404.56
Minimum184632
Maximum191529.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-21T04:51:22.547018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184632
5-th percentile185632.74
Q1185772.42
median185896.28
Q3187461.88
95-th percentile187795.95
Maximum191529.1
Range6897.0976
Interquartile range (IQR)1689.456

Descriptive statistics

Standard deviation1088.6314
Coefficient of variation (CV)0.0058401542
Kurtosis6.2976066
Mean186404.56
Median Absolute Deviation (MAD)186.95253
Skewness2.017027
Sum12302701
Variance1185118.3
MonotonicityNot monotonic
2024-04-21T04:51:22.794353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185780.509218126 2
 
2.9%
185848.968800503 2
 
2.9%
185886.573629252 2
 
2.9%
185666.416841447 1
 
1.5%
185706.148299871 1
 
1.5%
185877.490039331 1
 
1.5%
185689.777636154 1
 
1.5%
185712.506172758 1
 
1.5%
187591.900562671 1
 
1.5%
185976.813093095 1
 
1.5%
Other values (53) 53
77.9%
(Missing) 2
 
2.9%
ValueCountFrequency (%)
184631.997792293 1
1.5%
185058.764189885 1
1.5%
185623.856661782 1
1.5%
185631.882759859 1
1.5%
185635.301191163 1
1.5%
185662.235805242 1
1.5%
185666.416841447 1
1.5%
185689.777636154 1
1.5%
185706.148299871 1
1.5%
185712.506172758 1
1.5%
ValueCountFrequency (%)
191529.09544126 1
1.5%
188859.736882814 1
1.5%
187889.488672895 1
1.5%
187800.867308688 1
1.5%
187781.179818075 1
1.5%
187750.746984915 1
1.5%
187729.44580693 1
1.5%
187716.211107445 1
1.5%
187704.240437589 1
1.5%
187647.545582003 1
1.5%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size672.0 B
비디오물시청제공업
68 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물시청제공업 68
100.0%

Length

2024-04-21T04:51:23.033424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:51:23.200576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물시청제공업 68
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size672.0 B
유통관련업
57 
<NA>
11 

Length

Max length5
Median length5
Mean length4.8382353
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 57
83.8%
<NA> 11
 
16.2%

Length

2024-04-21T04:51:23.378084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:51:23.550686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 57
83.8%
na 11
 
16.2%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)18.9%
Missing15
Missing (%)22.1%
Infinite0
Infinite (%)0.0%
Mean4.3584906
Minimum0
Maximum10
Zeros3
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-21T04:51:23.712278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.2
Q14
median4
Q35
95-th percentile8
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.9522604
Coefficient of variation (CV)0.44792122
Kurtosis1.6463164
Mean4.3584906
Median Absolute Deviation (MAD)1
Skewness0.43890725
Sum231
Variance3.8113208
MonotonicityNot monotonic
2024-04-21T04:51:23.901518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4 20
29.4%
5 11
16.2%
3 8
 
11.8%
0 3
 
4.4%
6 3
 
4.4%
8 3
 
4.4%
2 2
 
2.9%
10 1
 
1.5%
9 1
 
1.5%
7 1
 
1.5%
(Missing) 15
22.1%
ValueCountFrequency (%)
0 3
 
4.4%
2 2
 
2.9%
3 8
 
11.8%
4 20
29.4%
5 11
16.2%
6 3
 
4.4%
7 1
 
1.5%
8 3
 
4.4%
9 1
 
1.5%
10 1
 
1.5%
ValueCountFrequency (%)
10 1
 
1.5%
9 1
 
1.5%
8 3
 
4.4%
7 1
 
1.5%
6 3
 
4.4%
5 11
16.2%
4 20
29.4%
3 8
 
11.8%
2 2
 
2.9%
0 3
 
4.4%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct38
Distinct (%)74.5%
Missing17
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean167.68471
Minimum0
Maximum551.76
Zeros6
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-21T04:51:24.098924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q192
median148
Q3221
95-th percentile343
Maximum551.76
Range551.76
Interquartile range (IQR)129

Descriptive statistics

Standard deviation116.50644
Coefficient of variation (CV)0.69479468
Kurtosis1.3746195
Mean167.68471
Median Absolute Deviation (MAD)66
Skewness0.90193574
Sum8551.92
Variance13573.751
MonotonicityNot monotonic
2024-04-21T04:51:24.318226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.0 6
 
8.8%
132.0 3
 
4.4%
82.0 2
 
2.9%
297.0 2
 
2.9%
92.0 2
 
2.9%
188.0 2
 
2.9%
99.0 2
 
2.9%
115.0 2
 
2.9%
255.0 1
 
1.5%
299.0 1
 
1.5%
Other values (28) 28
41.2%
(Missing) 17
25.0%
ValueCountFrequency (%)
0.0 6
8.8%
56.7 1
 
1.5%
62.0 1
 
1.5%
72.0 1
 
1.5%
73.0 1
 
1.5%
82.0 2
 
2.9%
92.0 2
 
2.9%
99.0 2
 
2.9%
107.0 1
 
1.5%
115.0 2
 
2.9%
ValueCountFrequency (%)
551.76 1
1.5%
447.45 1
1.5%
371.0 1
1.5%
315.0 1
1.5%
299.45 1
1.5%
299.0 1
1.5%
297.0 2
2.9%
293.68 1
1.5%
292.09 1
1.5%
255.0 1
1.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)15.7%
Missing17
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean3.0588235
Minimum0
Maximum8
Zeros4
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-21T04:51:24.524461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5.5
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5545001
Coefficient of variation (CV)0.50820196
Kurtosis1.4618099
Mean3.0588235
Median Absolute Deviation (MAD)1
Skewness0.43040067
Sum156
Variance2.4164706
MonotonicityNot monotonic
2024-04-21T04:51:24.735611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 20
29.4%
2 11
16.2%
4 7
 
10.3%
5 5
 
7.4%
0 4
 
5.9%
6 2
 
2.9%
8 1
 
1.5%
1 1
 
1.5%
(Missing) 17
25.0%
ValueCountFrequency (%)
0 4
 
5.9%
1 1
 
1.5%
2 11
16.2%
3 20
29.4%
4 7
 
10.3%
5 5
 
7.4%
6 2
 
2.9%
8 1
 
1.5%
ValueCountFrequency (%)
8 1
 
1.5%
6 2
 
2.9%
5 5
 
7.4%
4 7
 
10.3%
3 20
29.4%
2 11
16.2%
1 1
 
1.5%
0 4
 
5.9%

지하층수
Categorical

Distinct4
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size672.0 B
<NA>
48 
0
11 
1
8 
2
 
1

Length

Max length4
Median length4
Mean length3.1176471
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row<NA>
2nd row1
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
<NA> 48
70.6%
0 11
 
16.2%
1 8
 
11.8%
2 1
 
1.5%

Length

2024-04-21T04:51:24.958999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:51:25.152274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
70.6%
0 11
 
16.2%
1 8
 
11.8%
2 1
 
1.5%

건물용도명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size672.0 B
<NA>
57 
근린생활시설
11 

Length

Max length6
Median length4
Mean length4.3235294
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
83.8%
근린생활시설 11
 
16.2%

Length

2024-04-21T04:51:25.361477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:51:25.759210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
83.8%
근린생활시설 11
 
16.2%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

편의시설여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.0%
Missing35
Missing (%)51.5%
Memory size264.0 B
False
33 
(Missing)
35 
ValueCountFrequency (%)
False 33
48.5%
(Missing) 35
51.5%
2024-04-21T04:51:25.899785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방시설여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.0%
Missing35
Missing (%)51.5%
Memory size264.0 B
False
33 
(Missing)
35 
ValueCountFrequency (%)
False 33
48.5%
(Missing) 35
51.5%
2024-04-21T04:51:26.031958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size740.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01비디오물시청제공업03_10_04_P3290000CDFF124203199600001119960911<NA>2휴업2휴업<NA>2002123120021231<NA>808-5479<NA>614850부산광역시 부산진구 부전동 522-10번지부산광역시 부산진구 서면로 19 (부전동)<NA>대부비디오감상실20030127161348I2018-08-31 23:59:59.0<NA>387426.204077185631.88276비디오물시청제공업유통관련업4<NA><NA><NA>3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12비디오물시청제공업03_10_04_P3290000CDFF124203199600001219960912<NA>2휴업2휴업<NA>2002123120021231<NA>806-9988<NA>614847부산광역시 부산진구 부전동 517-33번지부산광역시 부산진구 가야대로784번길 51 (부전동)<NA>꿈꾸는골목비디오감상20030127161348I2018-08-31 23:59:59.0<NA>387396.997892185932.359044비디오물시청제공업유통관련업3<NA><NA>107.0<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>
23비디오물시청제공업03_10_04_P3290000CDFF124203199800000519980616<NA>2휴업2휴업<NA>2002123120021231<NA>806-860<NA>614846부산광역시 부산진구 부전동 233-16번지<NA><NA>센타포드비디오감상실20030127161348I2018-08-31 23:59:59.0<NA>387479.399413185623.856662비디오물시청제공업유통관련업2<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>
34비디오물시청제공업03_10_04_P3290000CDFF124203200200000420021016<NA>3폐업3폐업20040330<NA><NA><NA>802-4573<NA>614845부산광역시 부산진구 부전동 192-4번지부산광역시 부산진구 중앙대로 696 (부전동)<NA>넥스트dvd감상실20040330161245I2018-08-31 23:59:59.0<NA>387592.02884185914.412094비디오물시청제공업유통관련업<NA><NA><NA>218.0<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NN<NA><NA><NA><NA><NA><NA><NA><NA>
45비디오물시청제공업03_10_04_P3290000CDFF124203199600000519960906<NA>3폐업3폐업20001205<NA><NA><NA>802-1452<NA>614845부산광역시 부산진구 부전동 196-2번지부산광역시 부산진구 신천대로50번길 65 (부전동)<NA>아카데미비디오감상실20030127161348I2018-08-31 23:59:59.0<NA>387619.502305185780.509218비디오물시청제공업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56비디오물시청제공업03_10_04_P3290000CDFF124203199600000619960906<NA>3폐업3폐업20011231<NA><NA><NA>802-5709<NA>614846부산광역시 부산진구 부전동 225-3번지부산광역시 부산진구 중앙대로680번길 34 (부전동)<NA>빠삐용비디오감상실20030127161348I2018-08-31 23:59:59.0<NA>387738.488783185731.43901비디오물시청제공업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67비디오물시청제공업03_10_04_P3290000CDFF124203199600000719960906<NA>3폐업3폐업19991026<NA><NA><NA>802-8412<NA>614846부산광역시 부산진구 부전동 219-1번지<NA><NA>레옹비디오감상실20030127161348I2018-08-31 23:59:59.0<NA>387785.24448185848.968801비디오물시청제공업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78비디오물시청제공업03_10_04_P3290000CDFF124203199600002119961016<NA>3폐업3폐업20000731<NA><NA><NA>851-461<NA>614853부산광역시 부산진구 양정동 362-2번지부산광역시 부산진구 양지로5번길 12 (양정동)<NA>체프린비디오감상실20030127161348I2018-08-31 23:59:59.0<NA>388516.39407187617.652332비디오물시청제공업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89비디오물시청제공업03_10_04_P3290000CDFF124203199700000119970108<NA>3폐업3폐업20000115<NA><NA><NA>819-9967<NA>614847부산광역시 부산진구 부전동 490-16번지부산광역시 부산진구 서면로 69-1 (부전동)<NA>오스카비디오감상실20030127161348I2018-08-31 23:59:59.0<NA>387409.530483186141.938258비디오물시청제공업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910비디오물시청제공업03_10_04_P3290000CDFF124203199700000219970806<NA>3폐업3폐업20010107<NA><NA><NA>861-1826<NA>614856부산광역시 부산진구 양정동 393-17번지부산광역시 부산진구 중앙대로909번길 8 (양정동)<NA>시네마월드비디오감상20030127161348I2018-08-31 23:59:59.0<NA>388473.867714187800.867309비디오물시청제공업유통관련업2<NA><NA>0.001<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)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
5859비디오물시청제공업03_10_04_P3290000CDFF124203199800000819980707<NA>1영업/정상13영업중<NA><NA><NA><NA>816-7500<NA><NA>부산광역시 부산진구 부전동 215-1번지부산광역시 부산진구 중앙대로692번길 26 (부전동)<NA>DVD아카데미영화감상실20090720173504I2018-08-31 23:59:59.0<NA>387699.505795185852.133404비디오물시청제공업<NA>3<NA><NA>197.363<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NN<NA><NA><NA><NA><NA><NA><NA><NA>
5960비디오물시청제공업03_10_04_P3290000CDFF124203200200000320021002<NA>1영업/정상13영업중<NA><NA><NA><NA>804-4409<NA><NA>부산광역시 부산진구 부전동 517-7번지부산광역시 부산진구 서면로 49 (부전동)<NA>무비스타20100205104429I2018-08-31 23:59:59.0<NA>387415.377766185929.781093비디오물시청제공업<NA><NA><NA><NA>173.03<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>
6061비디오물시청제공업03_10_04_P3290000CDFF124203199700000319970811200503244취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>817-5900<NA>614850부산광역시 부산진구 부전동 522-49번지부산광역시 부산진구 서면로 29 (부전동)<NA>파라오영화감상실20050324155113I2018-08-31 23:59:59.0<NA>387417.686483185733.216997비디오물시청제공업유통관련업5<NA><NA>315.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NN<NA><NA><NA><NA><NA><NA><NA><NA>
6162비디오물시청제공업03_10_04_P3290000CDFF124203199900000519991230200409024취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>802-1881<NA>614846부산광역시 부산진구 부전동 241-2번지부산광역시 부산진구 중앙대로691번길 9 (부전동)<NA>CMC영화감상실20040902095303I2018-08-31 23:59:59.0<NA>387509.798386185847.689634비디오물시청제공업유통관련업6<NA><NA>371.04<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NN<NA><NA><NA><NA><NA><NA><NA><NA>
6263비디오물시청제공업03_10_04_P3290000CDFF124203200000000820001102<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>806-989<NA>614850부산광역시 부산진구 부전동 522-46번지부산광역시 부산진구 서면로 27 (부전동)<NA>스크린월드20040302142421I2018-08-31 23:59:59.0<NA>387412.764005185713.446847비디오물시청제공업유통관련업7<NA><NA>299.05<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NN<NA><NA><NA><NA><NA><NA><NA><NA>
6364비디오물시청제공업03_10_04_P3290000CDFF124203199600002219961119<NA>4취소/말소/만료/정지/중지35직권말소20180501<NA><NA><NA>818-9697<NA>614846부산광역시 부산진구 부전동 225-5번지부산광역시 부산진구 중앙대로680번길 30 (부전동)<NA>007비디오감상실20180501105154I2018-08-31 23:59:59.0<NA>387717.053479185738.576958비디오물시청제공업유통관련업5<NA><NA>255.050<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6465비디오물시청제공업03_10_04_P3290000CDFF124203199900000319990326<NA>4취소/말소/만료/정지/중지35직권말소20100329<NA><NA><NA>819-2388<NA><NA>부산광역시 부산진구 부전동 242-27번지부산광역시 부산진구 서면로 44-1 (부전동)<NA>테마영화감상실20100419093903I2018-08-31 23:59:59.0<NA>387461.385843185890.285521비디오물시청제공업<NA>4<NA><NA>165.020<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6566비디오물시청제공업03_10_04_P3290000CDFF124203199800001419981127<NA>4취소/말소/만료/정지/중지35직권말소20100329<NA><NA><NA>861-3621<NA><NA>부산광역시 부산진구 양정동 361-19번지부산광역시 부산진구 양지로11번길 4 (양정동)<NA>아카데미비디오감상실20100419093836I2018-08-31 23:59:59.0<NA>388515.777116187532.752559비디오물시청제공업<NA>3<NA><NA>92.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6667비디오물시청제공업03_10_04_P3290000CDFF124203200100000420011108<NA>4취소/말소/만료/정지/중지35직권말소20100329<NA><NA><NA>635-9224<NA><NA>부산광역시 부산진구 범천동 846-11번지부산광역시 부산진구 범일로 150-8 (범천동)<NA>인테넷비디오감상실20100419093926I2018-08-31 23:59:59.0<NA>387645.643457184631.997792비디오물시청제공업<NA>4<NA><NA>56.73<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>
6768비디오물시청제공업03_10_04_P3300000CDFF124203199700000119971222<NA>3폐업3폐업20080214<NA><NA><NA>553-6857<NA>607804부산광역시 동래구 명륜동 533-49번지부산광역시 동래구 명륜로129번길 49 (명륜동)<NA>폭로스크린20080214120032I2018-08-31 23:59:59.0<NA>389303.407679191529.095441비디오물시청제공업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NN<NA><NA><NA><NA><NA><NA><NA><NA>