Overview

Dataset statistics

Number of variables60
Number of observations94
Missing cells3210
Missing cells (%)56.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.2 KiB
Average record size in memory525.4 B

Variable types

Numeric8
Categorical14
Text8
Unsupported30

Dataset

Description2021-05-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123082

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
건물용도명 has constant value ""Constant
지역구분명 has constant value ""Constant
상세영업상태코드 is highly imbalanced (60.0%)Imbalance
상세영업상태명 is highly imbalanced (60.0%)Imbalance
폐업일자 is highly imbalanced (91.5%)Imbalance
데이터갱신일자 is highly imbalanced (52.4%)Imbalance
총층수 is highly imbalanced (61.8%)Imbalance
지상층수 is highly imbalanced (61.8%)Imbalance
지하층수 is highly imbalanced (66.7%)Imbalance
인허가취소일자 has 94 (100.0%) missing valuesMissing
휴업시작일자 has 94 (100.0%) missing valuesMissing
휴업종료일자 has 94 (100.0%) missing valuesMissing
재개업일자 has 94 (100.0%) missing valuesMissing
소재지전화 has 58 (61.7%) missing valuesMissing
소재지면적 has 94 (100.0%) missing valuesMissing
소재지우편번호 has 94 (100.0%) missing valuesMissing
도로명전체주소 has 68 (72.3%) missing valuesMissing
도로명우편번호 has 69 (73.4%) missing valuesMissing
업태구분명 has 94 (100.0%) missing valuesMissing
주변환경명 has 94 (100.0%) missing valuesMissing
제작취급품목내용 has 7 (7.4%) missing valuesMissing
시설면적 has 3 (3.2%) missing valuesMissing
건물용도명 has 92 (97.9%) missing valuesMissing
통로너비 has 94 (100.0%) missing valuesMissing
조명시설조도 has 94 (100.0%) missing valuesMissing
노래방실수 has 94 (100.0%) missing valuesMissing
청소년실수 has 94 (100.0%) missing valuesMissing
비상계단여부 has 94 (100.0%) missing valuesMissing
비상구여부 has 94 (100.0%) missing valuesMissing
자동환기여부 has 94 (100.0%) missing valuesMissing
청소년실여부 has 94 (100.0%) missing valuesMissing
특수조명여부 has 94 (100.0%) missing valuesMissing
방음시설여부 has 94 (100.0%) missing valuesMissing
비디오재생기명 has 94 (100.0%) missing valuesMissing
조명시설유무 has 94 (100.0%) missing valuesMissing
음향시설여부 has 94 (100.0%) missing valuesMissing
편의시설여부 has 94 (100.0%) missing valuesMissing
소방시설여부 has 94 (100.0%) missing valuesMissing
총게임기수 has 94 (100.0%) missing valuesMissing
기존게임업외업종명 has 94 (100.0%) missing valuesMissing
제공게임물명 has 94 (100.0%) missing valuesMissing
공연장형태구분명 has 94 (100.0%) missing valuesMissing
품목명 has 94 (100.0%) missing valuesMissing
최초등록시점 has 94 (100.0%) missing valuesMissing
지역구분명 has 93 (98.9%) missing valuesMissing
Unnamed: 59 has 94 (100.0%) missing valuesMissing
번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 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
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
최초등록시점 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
시설면적 has 85 (90.4%) zerosZeros

Reproduction

Analysis started2024-04-16 10:20:27.862644
Analysis finished2024-04-16 10:20:28.423139
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.5
Minimum1
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-04-16T19:20:28.485889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.65
Q124.25
median47.5
Q370.75
95-th percentile89.35
Maximum94
Range93
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation27.279418
Coefficient of variation (CV)0.57430354
Kurtosis-1.2
Mean47.5
Median Absolute Deviation (MAD)23.5
Skewness0
Sum4465
Variance744.16667
MonotonicityStrictly increasing
2024-04-16T19:20:28.638802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
61 1
 
1.1%
70 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
Other values (84) 84
89.4%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
94 1
1.1%
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
음반.음악영상물제작업
94 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음반.음악영상물제작업
2nd row음반.음악영상물제작업
3rd row음반.음악영상물제작업
4th row음반.음악영상물제작업
5th row음반.음악영상물제작업

Common Values

ValueCountFrequency (%)
음반.음악영상물제작업 94
100.0%

Length

2024-04-16T19:20:28.767046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:28.845868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 94
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
03_14_03_P
94 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_14_03_P
2nd row03_14_03_P
3rd row03_14_03_P
4th row03_14_03_P
5th row03_14_03_P

Common Values

ValueCountFrequency (%)
03_14_03_P 94
100.0%

Length

2024-04-16T19:20:28.930068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:29.022013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_14_03_p 94
100.0%

개방자치단체코드
Real number (ℝ)

Distinct14
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3326914.9
Minimum3250000
Maximum3390000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-04-16T19:20:29.100442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3320000
Q33370000
95-th percentile3390000
Maximum3390000
Range140000
Interquartile range (IQR)80000

Descriptive statistics

Standard deviation42730.126
Coefficient of variation (CV)0.012843769
Kurtosis-1.1122279
Mean3326914.9
Median Absolute Deviation (MAD)30000
Skewness-0.14146985
Sum3.1273 × 108
Variance1.8258636 × 109
MonotonicityNot monotonic
2024-04-16T19:20:29.207343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3370000 13
13.8%
3290000 13
13.8%
3380000 9
9.6%
3350000 8
8.5%
3320000 8
8.5%
3310000 8
8.5%
3390000 7
7.4%
3250000 7
7.4%
3330000 5
 
5.3%
3300000 5
 
5.3%
Other values (4) 11
11.7%
ValueCountFrequency (%)
3250000 7
7.4%
3260000 2
 
2.1%
3270000 2
 
2.1%
3280000 3
 
3.2%
3290000 13
13.8%
3300000 5
 
5.3%
3310000 8
8.5%
3320000 8
8.5%
3330000 5
 
5.3%
3340000 4
 
4.3%
ValueCountFrequency (%)
3390000 7
7.4%
3380000 9
9.6%
3370000 13
13.8%
3350000 8
8.5%
3340000 4
 
4.3%
3330000 5
 
5.3%
3320000 8
8.5%
3310000 8
8.5%
3300000 5
 
5.3%
3290000 13
13.8%

관리번호
Text

Distinct59
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Memory size884.0 B
2024-04-16T19:20:29.457780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1880
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

Unique42 ?
Unique (%)44.7%

Sample

1st rowCDFF3241062015000008
2nd rowCDFF3241062020000005
3rd rowCDFF3241062019000004
4th rowCDFF3241062009000006
5th rowCDFF3241062008000001
ValueCountFrequency (%)
cdff3241062008000001 10
 
10.6%
cdff3241062008000002 6
 
6.4%
cdff3241062021000001 5
 
5.3%
cdff3241062008000003 4
 
4.3%
cdff3241062014000001 3
 
3.2%
cdff3241062017000003 2
 
2.1%
cdff3241062015000008 2
 
2.1%
cdff3241062016000006 2
 
2.1%
cdff3241062015000003 2
 
2.1%
cdff3241062013000002 2
 
2.1%
Other values (49) 56
59.6%
2024-04-16T19:20:29.775748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 690
36.7%
2 221
 
11.8%
F 188
 
10.0%
1 183
 
9.7%
4 114
 
6.1%
3 111
 
5.9%
6 108
 
5.7%
C 94
 
5.0%
D 94
 
5.0%
8 32
 
1.7%
Other values (3) 45
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1504
80.0%
Uppercase Letter 376
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 690
45.9%
2 221
 
14.7%
1 183
 
12.2%
4 114
 
7.6%
3 111
 
7.4%
6 108
 
7.2%
8 32
 
2.1%
5 17
 
1.1%
9 15
 
1.0%
7 13
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 188
50.0%
C 94
25.0%
D 94
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1504
80.0%
Latin 376
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 690
45.9%
2 221
 
14.7%
1 183
 
12.2%
4 114
 
7.6%
3 111
 
7.4%
6 108
 
7.2%
8 32
 
2.1%
5 17
 
1.1%
9 15
 
1.0%
7 13
 
0.9%
Latin
ValueCountFrequency (%)
F 188
50.0%
C 94
25.0%
D 94
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 690
36.7%
2 221
 
11.8%
F 188
 
10.0%
1 183
 
9.7%
4 114
 
6.1%
3 111
 
5.9%
6 108
 
5.7%
C 94
 
5.0%
D 94
 
5.0%
8 32
 
1.7%
Other values (3) 45
 
2.4%

인허가일자
Real number (ℝ)

Distinct69
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20138745
Minimum20080417
Maximum20210323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-04-16T19:20:29.915536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080417
5-th percentile20080915
Q120080917
median20141126
Q320170987
95-th percentile20204344
Maximum20210323
Range129906
Interquartile range (IQR)90070.25

Descriptive statistics

Standard deviation45195.528
Coefficient of variation (CV)0.0022442078
Kurtosis-1.3728899
Mean20138745
Median Absolute Deviation (MAD)49092.5
Skewness-0.047139085
Sum1.8930421 × 109
Variance2.0426358 × 109
MonotonicityNot monotonic
2024-04-16T19:20:30.037632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080917 21
 
22.3%
20190218 3
 
3.2%
20170601 3
 
3.2%
20210126 2
 
2.1%
20150303 1
 
1.1%
20180718 1
 
1.1%
20190911 1
 
1.1%
20200904 1
 
1.1%
20190117 1
 
1.1%
20080904 1
 
1.1%
Other values (59) 59
62.8%
ValueCountFrequency (%)
20080417 1
 
1.1%
20080422 1
 
1.1%
20080711 1
 
1.1%
20080904 1
 
1.1%
20080911 1
 
1.1%
20080917 21
22.3%
20090112 1
 
1.1%
20090220 1
 
1.1%
20090625 1
 
1.1%
20090904 1
 
1.1%
ValueCountFrequency (%)
20210323 1
1.1%
20210203 1
1.1%
20210129 1
1.1%
20210126 2
2.1%
20201230 1
1.1%
20200918 1
1.1%
20200904 1
1.1%
20200712 1
1.1%
20200611 1
1.1%
20200228 1
1.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
1
81 
3
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 81
86.2%
3 13
 
13.8%

Length

2024-04-16T19:20:30.147038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:30.223685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 81
86.2%
3 13
 
13.8%

영업상태명
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
영업/정상
81 
폐업
13 

Length

Max length5
Median length5
Mean length4.5851064
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 81
86.2%
폐업 13
 
13.8%

Length

2024-04-16T19:20:30.525623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:30.608103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 81
86.2%
폐업 13
 
13.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
13
81 
3
12 
34
 
1

Length

Max length2
Median length2
Mean length1.8723404
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row34
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 81
86.2%
3 12
 
12.8%
34 1
 
1.1%

Length

2024-04-16T19:20:30.706831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:30.798293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 81
86.2%
3 12
 
12.8%
34 1
 
1.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
영업중
81 
폐업
12 
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.893617
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 81
86.2%
폐업 12
 
12.8%
영업장폐쇄 1
 
1.1%

Length

2024-04-16T19:20:30.913824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:31.003830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 81
86.2%
폐업 12
 
12.8%
영업장폐쇄 1
 
1.1%

폐업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
93 
20210119
 
1

Length

Max length8
Median length4
Mean length4.0425532
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 93
98.9%
20210119 1
 
1.1%

Length

2024-04-16T19:20:31.094409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:31.183979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 93
98.9%
20210119 1
 
1.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

소재지전화
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing58
Missing (%)61.7%
Memory size884.0 B
2024-04-16T19:20:31.346362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.055556
Min length10

Characters and Unicode

Total characters362
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

Unique36 ?
Unique (%)100.0%

Sample

1st row0513572732
2nd row0513164283
3rd row0513222324
4th row0513298500
5th row0519041478
ValueCountFrequency (%)
0519629622 1
 
2.8%
0517531032 1
 
2.8%
0516244486 1
 
2.8%
0517479762 1
 
2.8%
0516247134 1
 
2.8%
0516233603 1
 
2.8%
0516075945 1
 
2.8%
0516281242 1
 
2.8%
0516114290 1
 
2.8%
0515024091 1
 
2.8%
Other values (26) 26
72.2%
2024-04-16T19:20:31.660382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 63
17.4%
1 60
16.6%
0 59
16.3%
2 40
11.0%
8 31
8.6%
6 26
7.2%
4 25
 
6.9%
3 21
 
5.8%
7 19
 
5.2%
9 16
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 360
99.4%
Dash Punctuation 2
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 63
17.5%
1 60
16.7%
0 59
16.4%
2 40
11.1%
8 31
8.6%
6 26
7.2%
4 25
 
6.9%
3 21
 
5.8%
7 19
 
5.3%
9 16
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 362
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 63
17.4%
1 60
16.6%
0 59
16.3%
2 40
11.0%
8 31
8.6%
6 26
7.2%
4 25
 
6.9%
3 21
 
5.8%
7 19
 
5.2%
9 16
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 362
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 63
17.4%
1 60
16.6%
0 59
16.3%
2 40
11.0%
8 31
8.6%
6 26
7.2%
4 25
 
6.9%
3 21
 
5.8%
7 19
 
5.2%
9 16
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

소재지전체주소
Text

Distinct91
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size884.0 B
2024-04-16T19:20:31.909150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length34
Mean length21.659574
Min length17

Characters and Unicode

Total characters2036
Distinct characters146
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

Unique88 ?
Unique (%)93.6%

Sample

1st row부산광역시 연제구 연산동 1499-31
2nd row부산광역시 사상구 엄궁동 412-10
3rd row부산광역시 사상구 모라동 1358-9
4th row부산광역시 사상구 감전동 132-7 부산디지털밸리아파트형공장
5th row부산광역시 사상구 주례동 74-44
ValueCountFrequency (%)
부산광역시 94
 
22.8%
부산진구 13
 
3.2%
연제구 13
 
3.2%
연산동 10
 
2.4%
수영구 9
 
2.2%
남구 8
 
1.9%
금정구 8
 
1.9%
북구 8
 
1.9%
중구 7
 
1.7%
사상구 7
 
1.7%
Other values (169) 235
57.0%
2024-04-16T19:20:32.282156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
318
 
15.6%
부 121
 
5.9%
산 118
 
5.8%
동 112
 
5.5%
구 98
 
4.8%
광 96
 
4.7%
시 95
 
4.7%
역 94
 
4.6%
- 89
 
4.4%
1 85
 
4.2%
Other values (136) 810
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1179
57.9%
Decimal Number 443
 
21.8%
Space Separator 318
 
15.6%
Dash Punctuation 89
 
4.4%
Uppercase Letter 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 121
 
10.3%
산 118
 
10.0%
동 112
 
9.5%
구 98
 
8.3%
광 96
 
8.1%
시 95
 
8.1%
역 94
 
8.0%
연 29
 
2.5%
제 17
 
1.4%
대 16
 
1.4%
Other values (119) 383
32.5%
Decimal Number
ValueCountFrequency (%)
1 85
19.2%
2 65
14.7%
4 52
11.7%
3 51
11.5%
0 40
9.0%
7 39
8.8%
6 36
8.1%
5 32
 
7.2%
8 24
 
5.4%
9 19
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
I 2
28.6%
B 2
28.6%
A 1
14.3%
K 1
14.3%
C 1
14.3%
Space Separator
ValueCountFrequency (%)
318
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1179
57.9%
Common 850
41.7%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 121
 
10.3%
산 118
 
10.0%
동 112
 
9.5%
구 98
 
8.3%
광 96
 
8.1%
시 95
 
8.1%
역 94
 
8.0%
연 29
 
2.5%
제 17
 
1.4%
대 16
 
1.4%
Other values (119) 383
32.5%
Common
ValueCountFrequency (%)
318
37.4%
- 89
 
10.5%
1 85
 
10.0%
2 65
 
7.6%
4 52
 
6.1%
3 51
 
6.0%
0 40
 
4.7%
7 39
 
4.6%
6 36
 
4.2%
5 32
 
3.8%
Other values (2) 43
 
5.1%
Latin
ValueCountFrequency (%)
I 2
28.6%
B 2
28.6%
A 1
14.3%
K 1
14.3%
C 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1179
57.9%
ASCII 857
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
318
37.1%
- 89
 
10.4%
1 85
 
9.9%
2 65
 
7.6%
4 52
 
6.1%
3 51
 
6.0%
0 40
 
4.7%
7 39
 
4.6%
6 36
 
4.2%
5 32
 
3.7%
Other values (7) 50
 
5.8%
Hangul
ValueCountFrequency (%)
부 121
 
10.3%
산 118
 
10.0%
동 112
 
9.5%
구 98
 
8.3%
광 96
 
8.1%
시 95
 
8.1%
역 94
 
8.0%
연 29
 
2.5%
제 17
 
1.4%
대 16
 
1.4%
Other values (119) 383
32.5%

도로명전체주소
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing68
Missing (%)72.3%
Memory size884.0 B
2024-04-16T19:20:32.515194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length36
Mean length32.923077
Min length18

Characters and Unicode

Total characters856
Distinct characters130
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

Unique26 ?
Unique (%)100.0%

Sample

1st row부산광역시 연제구 거제천로 112
2nd row부산광역시 사상구 낙동대로 754-1 (엄궁동)
3rd row부산광역시 사상구 백양대로 909 (모라동)
4th row부산광역시 사상구 대동로 303, 부산디지털밸리 1018호 (감전동)
5th row부산광역시 사상구 냉정로 115-1 (주례동)
ValueCountFrequency (%)
부산광역시 26
 
16.0%
사상구 5
 
3.1%
2층 4
 
2.5%
부산진구 4
 
2.5%
연제구 3
 
1.8%
영도구 3
 
1.8%
부전동 2
 
1.2%
동삼동 2
 
1.2%
1호 2
 
1.2%
6 2
 
1.2%
Other values (103) 110
67.5%
2024-04-16T19:20:32.863292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
137
 
16.0%
동 40
 
4.7%
부 35
 
4.1%
산 34
 
4.0%
1 29
 
3.4%
시 28
 
3.3%
구 28
 
3.3%
광 27
 
3.2%
로 27
 
3.2%
역 26
 
3.0%
Other values (120) 445
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 504
58.9%
Decimal Number 138
 
16.1%
Space Separator 137
 
16.0%
Open Punctuation 25
 
2.9%
Close Punctuation 25
 
2.9%
Other Punctuation 21
 
2.5%
Dash Punctuation 4
 
0.5%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 40
 
7.9%
부 35
 
6.9%
산 34
 
6.7%
시 28
 
5.6%
구 28
 
5.6%
광 27
 
5.4%
로 27
 
5.4%
역 26
 
5.2%
대 15
 
3.0%
길 14
 
2.8%
Other values (103) 230
45.6%
Decimal Number
ValueCountFrequency (%)
1 29
21.0%
2 21
15.2%
0 16
11.6%
5 14
10.1%
3 13
9.4%
7 10
 
7.2%
4 9
 
6.5%
6 9
 
6.5%
8 9
 
6.5%
9 8
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
137
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 504
58.9%
Common 350
40.9%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 40
 
7.9%
부 35
 
6.9%
산 34
 
6.7%
시 28
 
5.6%
구 28
 
5.6%
광 27
 
5.4%
로 27
 
5.4%
역 26
 
5.2%
대 15
 
3.0%
길 14
 
2.8%
Other values (103) 230
45.6%
Common
ValueCountFrequency (%)
137
39.1%
1 29
 
8.3%
( 25
 
7.1%
) 25
 
7.1%
2 21
 
6.0%
, 21
 
6.0%
0 16
 
4.6%
5 14
 
4.0%
3 13
 
3.7%
7 10
 
2.9%
Other values (5) 39
 
11.1%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 504
58.9%
ASCII 352
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
137
38.9%
1 29
 
8.2%
( 25
 
7.1%
) 25
 
7.1%
2 21
 
6.0%
, 21
 
6.0%
0 16
 
4.5%
5 14
 
4.0%
3 13
 
3.7%
7 10
 
2.8%
Other values (7) 41
 
11.6%
Hangul
ValueCountFrequency (%)
동 40
 
7.9%
부 35
 
6.9%
산 34
 
6.7%
시 28
 
5.6%
구 28
 
5.6%
광 27
 
5.4%
로 27
 
5.4%
역 26
 
5.2%
대 15
 
3.0%
길 14
 
2.8%
Other values (103) 230
45.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing69
Missing (%)73.4%
Infinite0
Infinite (%)0.0%
Mean47617.6
Minimum46281
Maximum49107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-04-16T19:20:32.975607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46281
5-th percentile46337.4
Q146981
median47327
Q348400
95-th percentile49092
Maximum49107
Range2826
Interquartile range (IQR)1419

Descriptive statistics

Standard deviation897.0412
Coefficient of variation (CV)0.018838438
Kurtosis-0.99537189
Mean47617.6
Median Absolute Deviation (MAD)519
Skewness0.39120594
Sum1190440
Variance804682.92
MonotonicityNot monotonic
2024-04-16T19:20:33.066259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
46929 1
 
1.1%
48968 1
 
1.1%
48740 1
 
1.1%
49101 1
 
1.1%
49056 1
 
1.1%
49107 1
 
1.1%
47252 1
 
1.1%
47209 1
 
1.1%
47327 1
 
1.1%
47296 1
 
1.1%
Other values (15) 15
 
16.0%
(Missing) 69
73.4%
ValueCountFrequency (%)
46281 1
1.1%
46285 1
1.1%
46547 1
1.1%
46650 1
1.1%
46929 1
1.1%
46964 1
1.1%
46981 1
1.1%
47006 1
1.1%
47041 1
1.1%
47209 1
1.1%
ValueCountFrequency (%)
49107 1
1.1%
49101 1
1.1%
49056 1
1.1%
48968 1
1.1%
48740 1
1.1%
48447 1
1.1%
48400 1
1.1%
48073 1
1.1%
47846 1
1.1%
47791 1
1.1%

사업장명
Text

Distinct90
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size884.0 B
2024-04-16T19:20:33.269829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length18
Mean length7.7021277
Min length2

Characters and Unicode

Total characters724
Distinct characters206
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)91.5%

Sample

1st row스타노래뮤비방
2nd row꽃뿌리 노래뮤비방
3rd row타임노래뮤비방
4th row(주)씨에스비
5th rowGINGER RECORDS
ValueCountFrequency (%)
노래뮤비방 4
 
3.5%
글리사운드 2
 
1.7%
타임노래뮤비방 2
 
1.7%
은하수뮤비존 2
 
1.7%
스튜디오 2
 
1.7%
숨뮤직 2
 
1.7%
엠엔스타 2
 
1.7%
entertainment 2
 
1.7%
소리창고 2
 
1.7%
주)이지엘이십일 1
 
0.9%
Other values (94) 94
81.7%
2024-04-16T19:20:33.612886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
뮤 31
 
4.3%
비 30
 
4.1%
래 28
 
3.9%
노 27
 
3.7%
방 23
 
3.2%
21
 
2.9%
( 17
 
2.3%
) 17
 
2.3%
스 16
 
2.2%
이 15
 
2.1%
Other values (196) 499
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 532
73.5%
Uppercase Letter 91
 
12.6%
Lowercase Letter 39
 
5.4%
Space Separator 21
 
2.9%
Open Punctuation 17
 
2.3%
Close Punctuation 17
 
2.3%
Other Punctuation 4
 
0.6%
Dash Punctuation 2
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
뮤 31
 
5.8%
비 30
 
5.6%
래 28
 
5.3%
노 27
 
5.1%
방 23
 
4.3%
스 16
 
3.0%
이 15
 
2.8%
디 14
 
2.6%
주 11
 
2.1%
에 9
 
1.7%
Other values (150) 328
61.7%
Uppercase Letter
ValueCountFrequency (%)
E 12
13.2%
M 10
11.0%
N 8
 
8.8%
A 7
 
7.7%
S 5
 
5.5%
O 5
 
5.5%
C 5
 
5.5%
T 5
 
5.5%
R 5
 
5.5%
I 5
 
5.5%
Other values (12) 24
26.4%
Lowercase Letter
ValueCountFrequency (%)
e 7
17.9%
n 6
15.4%
i 5
12.8%
a 3
7.7%
t 3
7.7%
d 2
 
5.1%
o 2
 
5.1%
r 2
 
5.1%
g 1
 
2.6%
l 1
 
2.6%
Other values (7) 7
17.9%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
. 2
50.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 532
73.5%
Latin 130
 
18.0%
Common 62
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
뮤 31
 
5.8%
비 30
 
5.6%
래 28
 
5.3%
노 27
 
5.1%
방 23
 
4.3%
스 16
 
3.0%
이 15
 
2.8%
디 14
 
2.6%
주 11
 
2.1%
에 9
 
1.7%
Other values (150) 328
61.7%
Latin
ValueCountFrequency (%)
E 12
 
9.2%
M 10
 
7.7%
N 8
 
6.2%
e 7
 
5.4%
A 7
 
5.4%
n 6
 
4.6%
S 5
 
3.8%
O 5
 
3.8%
C 5
 
3.8%
T 5
 
3.8%
Other values (29) 60
46.2%
Common
ValueCountFrequency (%)
21
33.9%
( 17
27.4%
) 17
27.4%
& 2
 
3.2%
. 2
 
3.2%
- 2
 
3.2%
1 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 532
73.5%
ASCII 192
 
26.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
뮤 31
 
5.8%
비 30
 
5.6%
래 28
 
5.3%
노 27
 
5.1%
방 23
 
4.3%
스 16
 
3.0%
이 15
 
2.8%
디 14
 
2.6%
주 11
 
2.1%
에 9
 
1.7%
Other values (150) 328
61.7%
ASCII
ValueCountFrequency (%)
21
 
10.9%
( 17
 
8.9%
) 17
 
8.9%
E 12
 
6.2%
M 10
 
5.2%
N 8
 
4.2%
e 7
 
3.6%
A 7
 
3.6%
n 6
 
3.1%
S 5
 
2.6%
Other values (36) 82
42.7%

최종수정시점
Real number (ℝ)

Distinct42
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0209186 × 1013
Minimum2.0141031 × 1013
Maximum2.0210323 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-04-16T19:20:33.750107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0141031 × 1013
5-th percentile2.0210104 × 1013
Q12.0210104 × 1013
median2.0210104 × 1013
Q32.021012 × 1013
95-th percentile2.0210223 × 1013
Maximum2.0210323 × 1013
Range6.9291971 × 1010
Interquartile range (IQR)16008526

Descriptive statistics

Standard deviation7.3679505 × 109
Coefficient of variation (CV)0.00036458423
Kurtosis81.279534
Mean2.0209186 × 1013
Median Absolute Deviation (MAD)5003
Skewness-8.8529518
Sum1.8996635 × 1015
Variance5.4286695 × 1019
MonotonicityNot monotonic
2024-04-16T19:20:33.897404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
20210104150124 9
 
9.6%
20210104145308 9
 
9.6%
20210104150311 8
 
8.5%
20210104141700 6
 
6.4%
20210104150714 6
 
6.4%
20210104144005 6
 
6.4%
20210104144527 4
 
4.3%
20210104150941 4
 
4.3%
20210104145814 4
 
4.3%
20210104145121 3
 
3.2%
Other values (32) 35
37.2%
ValueCountFrequency (%)
20141031120148 1
 
1.1%
20191220165605 1
 
1.1%
20210104141700 6
6.4%
20210104144005 6
6.4%
20210104144510 2
 
2.1%
20210104144527 4
4.3%
20210104144828 1
 
1.1%
20210104145121 3
 
3.2%
20210104145308 9
9.6%
20210104145604 2
 
2.1%
ValueCountFrequency (%)
20210323090954 1
1.1%
20210315094855 1
1.1%
20210310111714 1
1.1%
20210223173728 1
1.1%
20210223173640 1
1.1%
20210223173555 1
1.1%
20210223173421 1
1.1%
20210203173546 1
1.1%
20210203153646 1
1.1%
20210129124714 1
1.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
I
75 
U
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 75
79.8%
U 19
 
20.2%

Length

2024-04-16T19:20:34.011558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:34.092788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 75
79.8%
u 19
 
20.2%

데이터갱신일자
Categorical

IMBALANCE 

Distinct16
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size884.0 B
2021-01-07 00:23:04.0
67 
2021-01-30 02:40:00.0
 
4
2021-01-28 02:40:00.0
 
4
2021-02-25 02:40:00.0
 
4
2021-01-22 02:40:00.0
 
3
Other values (11)
12 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique10 ?
Unique (%)10.6%

Sample

1st row2021-03-17 02:40:00.0
2nd row2021-01-30 02:40:00.0
3rd row2021-01-30 02:40:00.0
4th row2021-01-30 02:40:00.0
5th row2021-01-30 02:40:00.0

Common Values

ValueCountFrequency (%)
2021-01-07 00:23:04.0 67
71.3%
2021-01-30 02:40:00.0 4
 
4.3%
2021-01-28 02:40:00.0 4
 
4.3%
2021-02-25 02:40:00.0 4
 
4.3%
2021-01-22 02:40:00.0 3
 
3.2%
2021-01-28 00:23:13.0 2
 
2.1%
2021-03-17 02:40:00.0 1
 
1.1%
2018-08-31 23:59:59.0 1
 
1.1%
2021-03-11 00:23:00.0 1
 
1.1%
2021-02-05 00:23:13.0 1
 
1.1%
Other values (6) 6
 
6.4%

Length

2024-04-16T19:20:34.170181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-01-07 67
35.6%
00:23:04.0 67
35.6%
02:40:00.0 19
 
10.1%
2021-01-28 6
 
3.2%
2021-01-30 4
 
2.1%
2021-02-25 4
 
2.1%
2021-01-22 3
 
1.6%
00:23:13.0 3
 
1.6%
2021-02-05 2
 
1.1%
00:23:03.0 1
 
0.5%
Other values (12) 12
 
6.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

좌표정보(x)
Real number (ℝ)

Distinct88
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean387536.58
Minimum371173.91
Maximum399942.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-04-16T19:20:34.269630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum371173.91
5-th percentile380127.85
Q1384895.53
median388651.4
Q3390388.08
95-th percentile393091.11
Maximum399942.23
Range28768.32
Interquartile range (IQR)5492.5444

Descriptive statistics

Standard deviation4755.0615
Coefficient of variation (CV)0.012269968
Kurtosis1.7509
Mean387536.58
Median Absolute Deviation (MAD)3116.3088
Skewness-0.88544841
Sum36428439
Variance22610610
MonotonicityNot monotonic
2024-04-16T19:20:34.381762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
389865.374708186 2
 
2.1%
381238.21753757 2
 
2.1%
380649.173187303 2
 
2.1%
384895.390231743 2
 
2.1%
384925.884432754 2
 
2.1%
390221.575485059 2
 
2.1%
388918.731517751 1
 
1.1%
388289.350065764 1
 
1.1%
387406.067019474 1
 
1.1%
387734.463269618 1
 
1.1%
Other values (78) 78
83.0%
ValueCountFrequency (%)
371173.90939644 1
1.1%
371181.352545926 1
1.1%
378972.62909457 1
1.1%
379527.398974186 1
1.1%
379626.0276343 1
1.1%
380398.062015138 1
1.1%
380649.173187303 2
2.1%
380909.178507556 1
1.1%
381238.21753757 2
2.1%
381562.468483638 1
1.1%
ValueCountFrequency (%)
399942.229391741 1
1.1%
395615.201853958 1
1.1%
394038.562998688 1
1.1%
393674.032955782 1
1.1%
393275.892081398 1
1.1%
392991.610020548 1
1.1%
392958.273296617 1
1.1%
392936.450989423 1
1.1%
392381.167898087 1
1.1%
392362.266071841 1
1.1%

좌표정보(y)
Real number (ℝ)

Distinct88
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186854.86
Minimum175314.29
Maximum199153.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-04-16T19:20:34.517723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175314.29
5-th percentile178219.25
Q1184234.99
median187148.05
Q3189520.72
95-th percentile194378.49
Maximum199153.28
Range23838.994
Interquartile range (IQR)5285.7239

Descriptive statistics

Standard deviation4814.2839
Coefficient of variation (CV)0.025764831
Kurtosis-0.24190006
Mean186854.86
Median Absolute Deviation (MAD)2892.5704
Skewness-0.18978779
Sum17564357
Variance23177329
MonotonicityNot monotonic
2024-04-16T19:20:34.657386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189520.718402504 2
 
2.1%
189401.461194846 2
 
2.1%
186887.374273103 2
 
2.1%
185266.377015509 2
 
2.1%
179582.832485656 2
 
2.1%
194263.188438189 2
 
2.1%
189162.944874822 1
 
1.1%
185923.365776674 1
 
1.1%
186676.305414942 1
 
1.1%
186010.342718874 1
 
1.1%
Other values (78) 78
83.0%
ValueCountFrequency (%)
175314.286676535 1
1.1%
177211.303830763 1
1.1%
177450.776987731 1
1.1%
177853.438901172 1
1.1%
177935.959531878 1
1.1%
178371.788022856 1
1.1%
179582.832485656 2
2.1%
179702.253031599 1
1.1%
179941.115872941 1
1.1%
179991.718386639 1
1.1%
ValueCountFrequency (%)
199153.280383391 1
1.1%
195714.84532185 1
1.1%
195149.600052536 1
1.1%
194780.064298314 1
1.1%
194592.620689494 1
1.1%
194263.188438189 2
2.1%
193724.667830617 1
1.1%
193053.070345791 1
1.1%
192350.702222277 1
1.1%
192162.274481 1
1.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
음반.음악영상물제작업
94 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음반.음악영상물제작업
2nd row음반.음악영상물제작업
3rd row음반.음악영상물제작업
4th row음반.음악영상물제작업
5th row음반.음악영상물제작업

Common Values

ValueCountFrequency (%)
음반.음악영상물제작업 94
100.0%

Length

2024-04-16T19:20:34.771053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:34.850958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 94
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
유통관련업
94 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 94
100.0%

Length

2024-04-16T19:20:34.924770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:34.993728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 94
100.0%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
0
87 
<NA>
 
7

Length

Max length4
Median length1
Mean length1.2234043
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 87
92.6%
<NA> 7
 
7.4%

Length

2024-04-16T19:20:35.071260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:35.160494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 87
92.6%
na 7
 
7.4%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

제작취급품목내용
Text

MISSING 

Distinct47
Distinct (%)54.0%
Missing7
Missing (%)7.4%
Memory size884.0 B
2024-04-16T19:20:35.312304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length12.793103
Min length2

Characters and Unicode

Total characters1113
Distinct characters71
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)44.8%

Sample

1st row음악영상물, 음악영상파일, USB
2nd row음악영상물 음악영상파일USB
3rd row음악영상물 음악영상파일 USB
4th row영상,음반CD
5th row음반,음악영상물
ValueCountFrequency (%)
음악영상물 31
15.5%
음악영상파일 22
 
11.0%
음반,음악영상물 19
 
9.5%
usb 18
 
9.0%
음반 13
 
6.5%
음원 10
 
5.0%
sd카드 8
 
4.0%
등 8
 
4.0%
뮤직비디오 7
 
3.5%
제작 5
 
2.5%
Other values (43) 59
29.5%
2024-04-16T19:20:35.582481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 153
13.7%
113
10.2%
영 102
 
9.2%
상 102
 
9.2%
, 99
 
8.9%
악 92
 
8.3%
물 69
 
6.2%
반 47
 
4.2%
S 28
 
2.5%
파 27
 
2.4%
Other values (61) 281
25.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 792
71.2%
Space Separator 113
 
10.2%
Other Punctuation 101
 
9.1%
Uppercase Letter 97
 
8.7%
Lowercase Letter 5
 
0.4%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 153
19.3%
영 102
12.9%
상 102
12.9%
악 92
11.6%
물 69
8.7%
반 47
 
5.9%
파 27
 
3.4%
일 27
 
3.4%
디 16
 
2.0%
원 13
 
1.6%
Other values (41) 144
18.2%
Uppercase Letter
ValueCountFrequency (%)
S 28
28.9%
U 21
21.6%
B 21
21.6%
D 16
16.5%
C 5
 
5.2%
V 2
 
2.1%
E 1
 
1.0%
P 1
 
1.0%
A 1
 
1.0%
T 1
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
s 2
40.0%
b 1
20.0%
u 1
20.0%
d 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 99
98.0%
· 2
 
2.0%
Space Separator
ValueCountFrequency (%)
113
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 792
71.2%
Common 219
 
19.7%
Latin 102
 
9.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 153
19.3%
영 102
12.9%
상 102
12.9%
악 92
11.6%
물 69
8.7%
반 47
 
5.9%
파 27
 
3.4%
일 27
 
3.4%
디 16
 
2.0%
원 13
 
1.6%
Other values (41) 144
18.2%
Latin
ValueCountFrequency (%)
S 28
27.5%
U 21
20.6%
B 21
20.6%
D 16
15.7%
C 5
 
4.9%
s 2
 
2.0%
V 2
 
2.0%
b 1
 
1.0%
u 1
 
1.0%
d 1
 
1.0%
Other values (4) 4
 
3.9%
Common
ValueCountFrequency (%)
113
51.6%
, 99
45.2%
) 2
 
0.9%
( 2
 
0.9%
· 2
 
0.9%
- 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 792
71.2%
ASCII 319
28.7%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 153
19.3%
영 102
12.9%
상 102
12.9%
악 92
11.6%
물 69
8.7%
반 47
 
5.9%
파 27
 
3.4%
일 27
 
3.4%
디 16
 
2.0%
원 13
 
1.6%
Other values (41) 144
18.2%
ASCII
ValueCountFrequency (%)
113
35.4%
, 99
31.0%
S 28
 
8.8%
U 21
 
6.6%
B 21
 
6.6%
D 16
 
5.0%
C 5
 
1.6%
) 2
 
0.6%
( 2
 
0.6%
s 2
 
0.6%
Other values (9) 10
 
3.1%
None
ValueCountFrequency (%)
· 2
100.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)7.7%
Missing3
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean8.8404396
Minimum0
Maximum236.36
Zeros85
Zeros (%)90.4%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-04-16T19:20:35.686669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile31.32
Maximum236.36
Range236.36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.616969
Coefficient of variation (CV)4.4813348
Kurtosis23.232373
Mean8.8404396
Median Absolute Deviation (MAD)0
Skewness4.844693
Sum804.48
Variance1569.5042
MonotonicityNot monotonic
2024-04-16T19:20:35.771127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 85
90.4%
169.05 1
 
1.1%
32.64 1
 
1.1%
220.01 1
 
1.1%
236.36 1
 
1.1%
30.0 1
 
1.1%
116.42 1
 
1.1%
(Missing) 3
 
3.2%
ValueCountFrequency (%)
0.0 85
90.4%
30.0 1
 
1.1%
32.64 1
 
1.1%
116.42 1
 
1.1%
169.05 1
 
1.1%
220.01 1
 
1.1%
236.36 1
 
1.1%
ValueCountFrequency (%)
236.36 1
 
1.1%
220.01 1
 
1.1%
169.05 1
 
1.1%
116.42 1
 
1.1%
32.64 1
 
1.1%
30.0 1
 
1.1%
0.0 85
90.4%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
0
87 
<NA>
 
7

Length

Max length4
Median length1
Mean length1.2234043
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 87
92.6%
<NA> 7
 
7.4%

Length

2024-04-16T19:20:35.864712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:35.955303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 87
92.6%
na 7
 
7.4%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
0
85 
<NA>
 
7
1
 
2

Length

Max length4
Median length1
Mean length1.2234043
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 85
90.4%
<NA> 7
 
7.4%
1 2
 
2.1%

Length

2024-04-16T19:20:36.048270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:36.137677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 85
90.4%
na 7
 
7.4%
1 2
 
2.1%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing92
Missing (%)97.9%
Memory size884.0 B
2024-04-16T19:20:36.228844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters12
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row근린생활시설
2nd row근린생활시설
ValueCountFrequency (%)
근린생활시설 2
100.0%
2024-04-16T19:20:36.441348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing93
Missing (%)98.9%
Memory size884.0 B
2024-04-16T19:20:36.553015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row근린상업지역
ValueCountFrequency (%)
근린상업지역 1
100.0%
2024-04-16T19:20:36.750005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01음반.음악영상물제작업03_14_03_P3370000CDFF324106201500000820150303<NA>3폐업34영업장폐쇄<NA><NA><NA><NA>0513572732<NA><NA>부산광역시 연제구 연산동 1499-31부산광역시 연제구 거제천로 112<NA>스타노래뮤비방20210315094855U2021-03-17 02:40:00.0<NA>388918.731518189162.944875음반.음악영상물제작업유통관련업0<NA>음악영상물, 음악영상파일, USB0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12음반.음악영상물제작업03_14_03_P3390000CDFF324106202000000520200228<NA>1영업/정상13영업중<NA><NA><NA><NA>0513164283<NA><NA>부산광역시 사상구 엄궁동 412-10부산광역시 사상구 낙동대로 754-1 (엄궁동)47041꽃뿌리 노래뮤비방20210128165253U2021-01-30 02:40:00.0<NA>379527.398974182807.455252음반.음악영상물제작업유통관련업0<NA>음악영상물 음악영상파일USB169.0501<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23음반.음악영상물제작업03_14_03_P3390000CDFF324106201900000420190212<NA>1영업/정상13영업중<NA><NA><NA><NA>0513222324<NA><NA>부산광역시 사상구 모라동 1358-9부산광역시 사상구 백양대로 909 (모라동)46929타임노래뮤비방20210128164242U2021-01-30 02:40:00.0<NA>381238.217538189401.461195음반.음악영상물제작업유통관련업0<NA>음악영상물 음악영상파일 USB32.6401<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34음반.음악영상물제작업03_14_03_P3390000CDFF324106200900000620090220<NA>1영업/정상13영업중<NA><NA><NA><NA>0513298500<NA><NA>부산광역시 사상구 감전동 132-7 부산디지털밸리아파트형공장부산광역시 사상구 대동로 303, 부산디지털밸리 1018호 (감전동)46981(주)씨에스비20210128165353U2021-01-30 02:40:00.0<NA>380909.178508185739.851127음반.음악영상물제작업유통관련업0<NA>영상,음반CD0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45음반.음악영상물제작업03_14_03_P3390000CDFF324106200800000120080917<NA>1영업/정상13영업중<NA><NA><NA><NA>0519041478<NA><NA>부산광역시 사상구 주례동 74-44부산광역시 사상구 냉정로 115-1 (주례동)47006GINGER RECORDS20210128172854U2021-01-30 02:40:00.0<NA>383335.706982185247.519085음반.음악영상물제작업유통관련업0<NA>음반,음악영상물0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56음반.음악영상물제작업03_14_03_P3390000CDFF324106201400000120141031<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 괘법동 272-1번지부산광역시 사상구 사상로 224 (괘법동)46964엠엔스타 노래뮤비방 부산사상1호점20141031120148I2018-08-31 23:59:59.0<NA>380649.173187186887.374273음반.음악영상물제작업유통관련업<NA><NA>음반음악영상물220.01<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역<NA>
67음반.음악영상물제작업03_14_03_P3380000CDFF324106201600000720160223<NA>1영업/정상13영업중<NA><NA><NA><NA>0516261472<NA><NA>부산광역시 수영구 남천동 55-22<NA><NA>(주)비에이에이치미디어20210104150124I2021-01-07 00:23:04.0<NA>392166.153944185038.036657음반.음악영상물제작업유통관련업0<NA>음악, 음반, 영상, 비디오물0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78음반.음악영상물제작업03_14_03_P3380000CDFF324106201500001020150407<NA>1영업/정상13영업중<NA><NA><NA><NA>0516285698<NA><NA>부산광역시 수영구 남천동 7-17<NA><NA>위캔컴퍼니(WECAN COMPANY)20210104150124I2021-01-07 00:23:04.0<NA>392362.266072185027.111268음반.음악영상물제작업유통관련업0<NA>음반, 영상, 화보, 공연 제작0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89음반.음악영상물제작업03_14_03_P3380000CDFF324106201400001220140211<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 수영구 수영동 508-6<NA><NA>꿀노래뮤비방20210104150124I2021-01-07 00:23:04.0<NA>392936.450989187565.440627음반.음악영상물제작업유통관련업0<NA>음악영상물, 음악영상파일, USB0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910음반.음악영상물제작업03_14_03_P3380000CDFF324106201400000620140331<NA>1영업/정상13영업중<NA><NA><NA><NA>0516233457<NA><NA>부산광역시 수영구 광안동 130-47<NA><NA>소리창고 녹음실20210104150124I2021-01-07 00:23:04.0<NA>392958.273297186520.566143음반.음악영상물제작업유통관련업0<NA>음반녹음, 영상DVD, 뮤직비디오0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
8485음반.음악영상물제작업03_14_03_P3380000CDFF324106201400000520140219<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>부산광역시 수영구 망미동 442-17<NA><NA>강남 노래 뮤비방20210104150124I2021-01-07 00:23:04.0<NA>391853.684624188251.169342음반.음악영상물제작업유통관련업0<NA>음악영상물0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8586음반.음악영상물제작업03_14_03_P3370000CDFF324106201500001020150728<NA>3폐업3폐업20210119<NA><NA><NA><NA><NA><NA>부산광역시 연제구 연산동 620-3 2층<NA><NA>짱노래뮤비방20210122134205U2021-01-24 02:40:00.0<NA>389865.374708189520.718403음반.음악영상물제작업유통관련업0<NA>음악영상물, 음악영상파일, SD카드0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8687음반.음악영상물제작업03_14_03_P3370000CDFF324106200800000120080417<NA>3폐업3폐업<NA><NA><NA><NA>0518688545<NA><NA>부산광역시 연제구 연산동 702-9 뉴그랜드오피스텔<NA><NA>(주)지에스피아20210104150254I2021-01-07 00:23:04.0<NA>389444.436546189180.052866음반.음악영상물제작업유통관련업0<NA>음반, 음악영상물0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8788음반.음악영상물제작업03_14_03_P3350000CDFF324106200900000120090625<NA>3폐업3폐업<NA><NA><NA><NA>0515153075<NA><NA>부산광역시 금정구 청룡동 32-16<NA><NA>스타피아뮤직20210104144005I2021-01-07 00:23:04.0<NA>390070.944936199153.280383음반.음악영상물제작업유통관련업0<NA>음반0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8889음반.음악영상물제작업03_14_03_P3330000CDFF324106201300000220130304<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 1206-34<NA><NA>(주)사람인20210104150941I2021-01-07 00:23:04.0<NA>392991.610021191310.467739음반.음악영상물제작업유통관련업0<NA>음박기획,음반영상물 제작0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8990음반.음악영상물제작업03_14_03_P3320000CDFF324106201200000920120611<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>부산광역시 북구 구포동 930-8 지하1층<NA><NA>궁전노래기획20210104141700I2021-01-07 00:23:04.0<NA>381820.272335190958.177499음반.음악영상물제작업유통관련업0<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>
9091음반.음악영상물제작업03_14_03_P3290000CDFF324106201600000620160803<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 양정동 401-5<NA><NA>스카이노래뮤비방20210104145308I2021-01-07 00:23:04.0<NA>388370.870958187633.978804음반.음악영상물제작업유통관련업0<NA>음악영상물, 음악영상파일, SD카드0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9192음반.음악영상물제작업03_14_03_P3290000CDFF324106201500001120150122<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 부전동 168-182<NA><NA>아이노래뮤비방20210104145308I2021-01-07 00:23:04.0<NA>387642.96827185973.807919음반.음악영상물제작업유통관련업0<NA>음악영상물,음악영상파일,USB0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9293음반.음악영상물제작업03_14_03_P3290000CDFF324106201300001020130718<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 가야동 602-7<NA><NA>은하수뮤비존20210104145308I2021-01-07 00:23:04.0<NA>384895.390232185266.377016음반.음악영상물제작업유통관련업0<NA>음악영상물, 음악영상파일, USB0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9394음반.음악영상물제작업03_14_03_P3250000CDFF324106201200000320120102<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 부평동1가 14-2 금창빌딩 4<NA><NA>문화영상기획20210104150714I2021-01-07 00:23:04.0<NA>384815.7236179991.718387음반.음악영상물제작업유통관련업0<NA>영상물제작·변환, CD,DVD 복사, 음반제작0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>