Overview

Dataset statistics

Number of variables60
Number of observations87
Missing cells2980
Missing cells (%)57.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.6 KiB
Average record size in memory525.5 B

Variable types

Numeric8
Categorical14
Text8
Unsupported30

Dataset

Description2021-03-01
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
폐업일자 is highly imbalanced (90.9%)Imbalance
데이터갱신일자 is highly imbalanced (58.4%)Imbalance
총층수 is highly imbalanced (68.3%)Imbalance
지상층수 is highly imbalanced (68.3%)Imbalance
지하층수 is highly imbalanced (70.1%)Imbalance
인허가취소일자 has 87 (100.0%) missing valuesMissing
휴업시작일자 has 87 (100.0%) missing valuesMissing
휴업종료일자 has 87 (100.0%) missing valuesMissing
재개업일자 has 87 (100.0%) missing valuesMissing
소재지전화 has 52 (59.8%) missing valuesMissing
소재지면적 has 87 (100.0%) missing valuesMissing
소재지우편번호 has 87 (100.0%) missing valuesMissing
도로명전체주소 has 69 (79.3%) missing valuesMissing
도로명우편번호 has 69 (79.3%) missing valuesMissing
업태구분명 has 87 (100.0%) missing valuesMissing
주변환경명 has 87 (100.0%) missing valuesMissing
제작취급품목내용 has 7 (8.0%) missing valuesMissing
시설면적 has 2 (2.3%) missing valuesMissing
건물용도명 has 85 (97.7%) missing valuesMissing
통로너비 has 87 (100.0%) missing valuesMissing
조명시설조도 has 87 (100.0%) missing valuesMissing
노래방실수 has 87 (100.0%) missing valuesMissing
청소년실수 has 87 (100.0%) missing valuesMissing
비상계단여부 has 87 (100.0%) missing valuesMissing
비상구여부 has 87 (100.0%) missing valuesMissing
자동환기여부 has 87 (100.0%) missing valuesMissing
청소년실여부 has 87 (100.0%) missing valuesMissing
특수조명여부 has 87 (100.0%) missing valuesMissing
방음시설여부 has 87 (100.0%) missing valuesMissing
비디오재생기명 has 87 (100.0%) missing valuesMissing
조명시설유무 has 87 (100.0%) missing valuesMissing
음향시설여부 has 87 (100.0%) missing valuesMissing
편의시설여부 has 87 (100.0%) missing valuesMissing
소방시설여부 has 87 (100.0%) missing valuesMissing
총게임기수 has 87 (100.0%) missing valuesMissing
기존게임업외업종명 has 87 (100.0%) missing valuesMissing
제공게임물명 has 87 (100.0%) missing valuesMissing
공연장형태구분명 has 87 (100.0%) missing valuesMissing
품목명 has 87 (100.0%) missing valuesMissing
최초등록시점 has 87 (100.0%) missing valuesMissing
지역구분명 has 86 (98.9%) missing valuesMissing
Unnamed: 59 has 87 (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 80 (92.0%) zerosZeros

Reproduction

Analysis started2024-04-16 10:20:48.263865
Analysis finished2024-04-16 10:20:48.777722
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44
Minimum1
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-16T19:20:48.838465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.3
Q122.5
median44
Q365.5
95-th percentile82.7
Maximum87
Range86
Interquartile range (IQR)43

Descriptive statistics

Standard deviation25.258662
Coefficient of variation (CV)0.5740605
Kurtosis-1.2
Mean44
Median Absolute Deviation (MAD)22
Skewness0
Sum3828
Variance638
MonotonicityStrictly increasing
2024-04-16T19:20:48.949340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
2 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
58 1
 
1.1%
Other values (77) 77
88.5%
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 (%)
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%
79 1
1.1%
78 1
1.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
음반.음악영상물제작업
87 

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 87
100.0%

Length

2024-04-16T19:20:49.054507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:49.149823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 87
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
03_14_03_P
87 

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 87
100.0%

Length

2024-04-16T19:20:49.263313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:49.360533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_14_03_p 87
100.0%

개방자치단체코드
Real number (ℝ)

Distinct14
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3328505.7
Minimum3250000
Maximum3390000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-16T19:20:49.432625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3330000
Q33370000
95-th percentile3390000
Maximum3390000
Range140000
Interquartile range (IQR)80000

Descriptive statistics

Standard deviation43576.416
Coefficient of variation (CV)0.013091885
Kurtosis-1.1109822
Mean3328505.7
Median Absolute Deviation (MAD)40000
Skewness-0.22878199
Sum2.8958 × 108
Variance1.898904 × 109
MonotonicityIncreasing
2024-04-16T19:20:49.535586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3370000 13
14.9%
3290000 9
10.3%
3380000 9
10.3%
3320000 8
9.2%
3250000 7
8.0%
3310000 7
8.0%
3350000 7
8.0%
3390000 7
8.0%
3300000 5
 
5.7%
3330000 4
 
4.6%
Other values (4) 11
12.6%
ValueCountFrequency (%)
3250000 7
8.0%
3260000 2
 
2.3%
3270000 2
 
2.3%
3280000 3
 
3.4%
3290000 9
10.3%
3300000 5
5.7%
3310000 7
8.0%
3320000 8
9.2%
3330000 4
4.6%
3340000 4
4.6%
ValueCountFrequency (%)
3390000 7
8.0%
3380000 9
10.3%
3370000 13
14.9%
3350000 7
8.0%
3340000 4
 
4.6%
3330000 4
 
4.6%
3320000 8
9.2%
3310000 7
8.0%
3300000 5
 
5.7%
3290000 9
10.3%

관리번호
Text

Distinct54
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-04-16T19:20:49.738911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1740
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

Unique37 ?
Unique (%)42.5%

Sample

1st rowCDFF3241062012000003
2nd rowCDFF3241062008000001
3rd rowCDFF3241062010000002
4th rowCDFF3241062014000007
5th rowCDFF3241062017000004
ValueCountFrequency (%)
cdff3241062008000001 10
 
11.5%
cdff3241062008000002 6
 
6.9%
cdff3241062008000003 4
 
4.6%
cdff3241062014000001 3
 
3.4%
cdff3241062021000001 3
 
3.4%
cdff3241062020000003 2
 
2.3%
cdff3241062008000007 2
 
2.3%
cdff3241062019000006 2
 
2.3%
cdff3241062017000004 2
 
2.3%
cdff3241062015000003 2
 
2.3%
Other values (44) 51
58.6%
2024-04-16T19:20:50.068943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 642
36.9%
2 201
 
11.6%
F 174
 
10.0%
1 166
 
9.5%
4 107
 
6.1%
3 103
 
5.9%
6 101
 
5.8%
C 87
 
5.0%
D 87
 
5.0%
8 30
 
1.7%
Other values (3) 42
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1392
80.0%
Uppercase Letter 348
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 642
46.1%
2 201
 
14.4%
1 166
 
11.9%
4 107
 
7.7%
3 103
 
7.4%
6 101
 
7.3%
8 30
 
2.2%
5 17
 
1.2%
9 13
 
0.9%
7 12
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 174
50.0%
C 87
25.0%
D 87
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1392
80.0%
Latin 348
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 642
46.1%
2 201
 
14.4%
1 166
 
11.9%
4 107
 
7.7%
3 103
 
7.4%
6 101
 
7.3%
8 30
 
2.2%
5 17
 
1.2%
9 13
 
0.9%
7 12
 
0.9%
Latin
ValueCountFrequency (%)
F 174
50.0%
C 87
25.0%
D 87
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 642
36.9%
2 201
 
11.6%
F 174
 
10.0%
1 166
 
9.5%
4 107
 
6.1%
3 103
 
5.9%
6 101
 
5.8%
C 87
 
5.0%
D 87
 
5.0%
8 30
 
1.7%
Other values (3) 42
 
2.4%

인허가일자
Real number (ℝ)

Distinct64
Distinct (%)73.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20134135
Minimum20080417
Maximum20210129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-16T19:20:50.196710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080417
5-th percentile20080913
Q120080917
median20140919
Q320165574
95-th percentile20200914
Maximum20210129
Range129712
Interquartile range (IQR)84657.5

Descriptive statistics

Standard deviation43720.478
Coefficient of variation (CV)0.0021714605
Kurtosis-1.3181319
Mean20134135
Median Absolute Deviation (MAD)49299
Skewness0.062507441
Sum1.7516697 × 109
Variance1.9114802 × 109
MonotonicityNot monotonic
2024-04-16T19:20:50.319774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080917 21
 
24.1%
20170601 3
 
3.4%
20210126 2
 
2.3%
20120102 1
 
1.1%
20140121 1
 
1.1%
20130905 1
 
1.1%
20080422 1
 
1.1%
20150728 1
 
1.1%
20080417 1
 
1.1%
20170519 1
 
1.1%
Other values (54) 54
62.1%
ValueCountFrequency (%)
20080417 1
 
1.1%
20080422 1
 
1.1%
20080711 1
 
1.1%
20080904 1
 
1.1%
20080911 1
 
1.1%
20080917 21
24.1%
20090112 1
 
1.1%
20090220 1
 
1.1%
20090625 1
 
1.1%
20090904 1
 
1.1%
ValueCountFrequency (%)
20210129 1
1.1%
20210126 2
2.3%
20201230 1
1.1%
20200918 1
1.1%
20200904 1
1.1%
20200712 1
1.1%
20200611 1
1.1%
20200228 1
1.1%
20191220 1
1.1%
20191211 1
1.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
1
75 
3
12 

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 75
86.2%
3 12
 
13.8%

Length

2024-04-16T19:20:50.444216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:50.545882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 75
86.2%
3 12
 
13.8%

영업상태명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
영업/정상
75 
폐업
12 

Length

Max length5
Median length5
Mean length4.5862069
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 75
86.2%
폐업 12
 
13.8%

Length

2024-04-16T19:20:50.648659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:50.759709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 75
86.2%
폐업 12
 
13.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
13
75 
3
12 

Length

Max length2
Median length2
Mean length1.862069
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 75
86.2%
3 12
 
13.8%

Length

2024-04-16T19:20:50.864981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:50.955737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 75
86.2%
3 12
 
13.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
영업중
75 
폐업
12 

Length

Max length3
Median length3
Mean length2.862069
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 75
86.2%
폐업 12
 
13.8%

Length

2024-04-16T19:20:51.053970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:51.148026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 75
86.2%
폐업 12
 
13.8%

폐업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
86 
20210119
 
1

Length

Max length8
Median length4
Mean length4.045977
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> 86
98.9%
20210119 1
 
1.1%

Length

2024-04-16T19:20:51.249936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:51.345367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
98.9%
20210119 1
 
1.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

소재지전화
Text

MISSING 

Distinct35
Distinct (%)100.0%
Missing52
Missing (%)59.8%
Memory size828.0 B
2024-04-16T19:20:51.528654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.057143
Min length10

Characters and Unicode

Total characters352
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

Unique35 ?
Unique (%)100.0%

Sample

1st row0512545686
2nd row0518040084
3rd row0518198798
4th row0518188150
5th row0516244486
ValueCountFrequency (%)
0512545686 1
 
2.9%
0517531032 1
 
2.9%
0518648864 1
 
2.9%
0515051540 1
 
2.9%
0517611228 1
 
2.9%
0513572732 1
 
2.9%
051-867-2933 1
 
2.9%
0517551518 1
 
2.9%
0513222324 1
 
2.9%
0518688545 1
 
2.9%
Other values (25) 25
71.4%
2024-04-16T19:20:51.840214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 62
17.6%
1 59
16.8%
0 57
16.2%
2 39
11.1%
8 30
8.5%
6 25
7.1%
4 24
 
6.8%
3 21
 
6.0%
7 17
 
4.8%
9 16
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 350
99.4%
Dash Punctuation 2
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 62
17.7%
1 59
16.9%
0 57
16.3%
2 39
11.1%
8 30
8.6%
6 25
7.1%
4 24
 
6.9%
3 21
 
6.0%
7 17
 
4.9%
9 16
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 352
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 62
17.6%
1 59
16.8%
0 57
16.2%
2 39
11.1%
8 30
8.5%
6 25
7.1%
4 24
 
6.8%
3 21
 
6.0%
7 17
 
4.8%
9 16
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 352
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 62
17.6%
1 59
16.8%
0 57
16.2%
2 39
11.1%
8 30
8.5%
6 25
7.1%
4 24
 
6.8%
3 21
 
6.0%
7 17
 
4.8%
9 16
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

소재지전체주소
Text

Distinct84
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-04-16T19:20:52.113065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length34
Mean length21.448276
Min length17

Characters and Unicode

Total characters1866
Distinct characters139
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

Unique81 ?
Unique (%)93.1%

Sample

1st row부산광역시 중구 부평동1가 14-2 금창빌딩 4
2nd row부산광역시 중구 대청동2가 38-5
3rd row부산광역시 중구 대청동1가 39-1
4th row부산광역시 중구 동광동5가 44-17
5th row부산광역시 중구 남포동5가 32-1
ValueCountFrequency (%)
부산광역시 87
22.9%
연제구 13
 
3.4%
연산동 10
 
2.6%
수영구 9
 
2.4%
부산진구 9
 
2.4%
북구 8
 
2.1%
금정구 7
 
1.8%
사상구 7
 
1.8%
중구 7
 
1.8%
남구 7
 
1.8%
Other values (157) 216
56.8%
2024-04-16T19:20:52.514206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
293
 
15.7%
부 108
 
5.8%
산 107
 
5.7%
동 104
 
5.6%
구 91
 
4.9%
광 89
 
4.8%
시 87
 
4.7%
역 87
 
4.7%
- 81
 
4.3%
1 76
 
4.1%
Other values (129) 743
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1080
57.9%
Decimal Number 405
 
21.7%
Space Separator 293
 
15.7%
Dash Punctuation 81
 
4.3%
Uppercase Letter 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 108
 
10.0%
산 107
 
9.9%
동 104
 
9.6%
구 91
 
8.4%
광 89
 
8.2%
시 87
 
8.1%
역 87
 
8.1%
연 27
 
2.5%
제 17
 
1.6%
영 15
 
1.4%
Other values (112) 348
32.2%
Decimal Number
ValueCountFrequency (%)
1 76
18.8%
2 58
14.3%
4 46
11.4%
3 46
11.4%
0 38
9.4%
7 35
8.6%
6 33
8.1%
5 30
 
7.4%
8 24
 
5.9%
9 19
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
I 2
28.6%
B 2
28.6%
A 1
14.3%
C 1
14.3%
K 1
14.3%
Space Separator
ValueCountFrequency (%)
293
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1080
57.9%
Common 779
41.7%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 108
 
10.0%
산 107
 
9.9%
동 104
 
9.6%
구 91
 
8.4%
광 89
 
8.2%
시 87
 
8.1%
역 87
 
8.1%
연 27
 
2.5%
제 17
 
1.6%
영 15
 
1.4%
Other values (112) 348
32.2%
Common
ValueCountFrequency (%)
293
37.6%
- 81
 
10.4%
1 76
 
9.8%
2 58
 
7.4%
4 46
 
5.9%
3 46
 
5.9%
0 38
 
4.9%
7 35
 
4.5%
6 33
 
4.2%
5 30
 
3.9%
Other values (2) 43
 
5.5%
Latin
ValueCountFrequency (%)
I 2
28.6%
B 2
28.6%
A 1
14.3%
C 1
14.3%
K 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1080
57.9%
ASCII 786
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
293
37.3%
- 81
 
10.3%
1 76
 
9.7%
2 58
 
7.4%
4 46
 
5.9%
3 46
 
5.9%
0 38
 
4.8%
7 35
 
4.5%
6 33
 
4.2%
5 30
 
3.8%
Other values (7) 50
 
6.4%
Hangul
ValueCountFrequency (%)
부 108
 
10.0%
산 107
 
9.9%
동 104
 
9.6%
구 91
 
8.4%
광 89
 
8.2%
시 87
 
8.1%
역 87
 
8.1%
연 27
 
2.5%
제 17
 
1.6%
영 15
 
1.4%
Other values (112) 348
32.2%

도로명전체주소
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing69
Missing (%)79.3%
Memory size828.0 B
2024-04-16T19:20:52.743222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length33
Mean length33
Min length23

Characters and Unicode

Total characters594
Distinct characters110
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

Unique18 ?
Unique (%)100.0%

Sample

1st row부산광역시 중구 중구로 71, 가톨릭센터 10층 (대청동4가)
2nd row부산광역시 동구 조방로16번길 20, 2층 상가1호 (범일동, 삼익범일아파트)
3rd row부산광역시 영도구 동삼로 56, 한나타워 8층 801호 (동삼동)
4th row부산광역시 영도구 영선대로67번길 17, 2층 (영선동3가, 더페로스아파트)
5th row부산광역시 영도구 동삼로28번길 4, 2층 (동삼동)
ValueCountFrequency (%)
부산광역시 18
 
15.8%
사상구 5
 
4.4%
2층 3
 
2.6%
영도구 3
 
2.6%
연제구 2
 
1.8%
동래구 2
 
1.8%
연산동 2
 
1.8%
동삼동 2
 
1.8%
북구 2
 
1.8%
부산디지털밸리 1
 
0.9%
Other values (74) 74
64.9%
2024-04-16T19:20:53.067519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
 
16.2%
동 29
 
4.9%
1 22
 
3.7%
산 21
 
3.5%
구 20
 
3.4%
부 19
 
3.2%
시 19
 
3.2%
로 19
 
3.2%
( 18
 
3.0%
광 18
 
3.0%
Other values (100) 313
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 345
58.1%
Space Separator 96
 
16.2%
Decimal Number 95
 
16.0%
Open Punctuation 18
 
3.0%
Close Punctuation 18
 
3.0%
Other Punctuation 16
 
2.7%
Dash Punctuation 4
 
0.7%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 29
 
8.4%
산 21
 
6.1%
구 20
 
5.8%
부 19
 
5.5%
시 19
 
5.5%
로 19
 
5.5%
광 18
 
5.2%
역 18
 
5.2%
대 10
 
2.9%
층 9
 
2.6%
Other values (83) 163
47.2%
Decimal Number
ValueCountFrequency (%)
1 22
23.2%
2 13
13.7%
3 10
10.5%
5 10
10.5%
0 9
9.5%
7 9
9.5%
4 8
 
8.4%
9 5
 
5.3%
6 5
 
5.3%
8 4
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 345
58.1%
Common 247
41.6%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 29
 
8.4%
산 21
 
6.1%
구 20
 
5.8%
부 19
 
5.5%
시 19
 
5.5%
로 19
 
5.5%
광 18
 
5.2%
역 18
 
5.2%
대 10
 
2.9%
층 9
 
2.6%
Other values (83) 163
47.2%
Common
ValueCountFrequency (%)
96
38.9%
1 22
 
8.9%
( 18
 
7.3%
) 18
 
7.3%
, 16
 
6.5%
2 13
 
5.3%
3 10
 
4.0%
5 10
 
4.0%
0 9
 
3.6%
7 9
 
3.6%
Other values (5) 26
 
10.5%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 345
58.1%
ASCII 249
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
38.6%
1 22
 
8.8%
( 18
 
7.2%
) 18
 
7.2%
, 16
 
6.4%
2 13
 
5.2%
3 10
 
4.0%
5 10
 
4.0%
0 9
 
3.6%
7 9
 
3.6%
Other values (7) 28
 
11.2%
Hangul
ValueCountFrequency (%)
동 29
 
8.4%
산 21
 
6.1%
구 20
 
5.8%
부 19
 
5.5%
시 19
 
5.5%
로 19
 
5.5%
광 18
 
5.2%
역 18
 
5.2%
대 10
 
2.9%
층 9
 
2.6%
Other values (83) 163
47.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing69
Missing (%)79.3%
Infinite0
Infinite (%)0.0%
Mean47697.278
Minimum46281
Maximum49107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-16T19:20:53.398658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46281
5-th percentile46507.1
Q146968.25
median47571.5
Q348655
95-th percentile49101.9
Maximum49107
Range2826
Interquartile range (IQR)1686.75

Descriptive statistics

Standard deviation971.30923
Coefficient of variation (CV)0.020364039
Kurtosis-1.393132
Mean47697.278
Median Absolute Deviation (MAD)735.5
Skewness0.30825866
Sum858551
Variance943441.62
MonotonicityNot monotonic
2024-04-16T19:20:53.501180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
46281 1
 
1.1%
47041 1
 
1.1%
46929 1
 
1.1%
46981 1
 
1.1%
47006 1
 
1.1%
46964 1
 
1.1%
47550 1
 
1.1%
47593 1
 
1.1%
48968 1
 
1.1%
48740 1
 
1.1%
Other values (8) 8
 
9.2%
(Missing) 69
79.3%
ValueCountFrequency (%)
46281 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%
47550 1
1.1%
47593 1
1.1%
ValueCountFrequency (%)
49107 1
1.1%
49101 1
1.1%
49056 1
1.1%
48968 1
1.1%
48740 1
1.1%
48400 1
1.1%
47846 1
1.1%
47791 1
1.1%
47593 1
1.1%
47550 1
1.1%

사업장명
Text

Distinct83
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-04-16T19:20:53.734844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length18
Mean length7.8045977
Min length2

Characters and Unicode

Total characters679
Distinct characters194
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

Unique79 ?
Unique (%)90.8%

Sample

1st row문화영상기획
2nd row동지상사
3rd rowBluewings Midi기획
4th row그냥해레코드
5th row숨뮤직
ValueCountFrequency (%)
노래뮤비방 4
 
3.7%
글리사운드 2
 
1.9%
소리창고 2
 
1.9%
엠엔스타 2
 
1.9%
entertainment 2
 
1.9%
스튜디오 2
 
1.9%
은하수뮤비존 2
 
1.9%
숨뮤직 2
 
1.9%
타임노래뮤비방 2
 
1.9%
스타피아뮤직 1
 
0.9%
Other values (86) 86
80.4%
2024-04-16T19:20:54.097761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
뮤 30
 
4.4%
비 29
 
4.3%
래 27
 
4.0%
노 26
 
3.8%
방 22
 
3.2%
20
 
2.9%
( 15
 
2.2%
) 15
 
2.2%
스 15
 
2.2%
이 13
 
1.9%
Other values (184) 467
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 492
72.5%
Uppercase Letter 91
 
13.4%
Lowercase Letter 39
 
5.7%
Space Separator 20
 
2.9%
Open Punctuation 15
 
2.2%
Close Punctuation 15
 
2.2%
Other Punctuation 4
 
0.6%
Dash Punctuation 2
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
뮤 30
 
6.1%
비 29
 
5.9%
래 27
 
5.5%
노 26
 
5.3%
방 22
 
4.5%
스 15
 
3.0%
이 13
 
2.6%
디 12
 
2.4%
에 9
 
1.8%
주 9
 
1.8%
Other values (138) 300
61.0%
Uppercase Letter
ValueCountFrequency (%)
E 12
13.2%
M 10
11.0%
N 8
 
8.8%
A 7
 
7.7%
O 5
 
5.5%
D 5
 
5.5%
T 5
 
5.5%
S 5
 
5.5%
C 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%
r 2
 
5.1%
o 2
 
5.1%
m 1
 
2.6%
z 1
 
2.6%
Other values (7) 7
17.9%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
& 2
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 492
72.5%
Latin 130
 
19.1%
Common 57
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
뮤 30
 
6.1%
비 29
 
5.9%
래 27
 
5.5%
노 26
 
5.3%
방 22
 
4.5%
스 15
 
3.0%
이 13
 
2.6%
디 12
 
2.4%
에 9
 
1.8%
주 9
 
1.8%
Other values (138) 300
61.0%
Latin
ValueCountFrequency (%)
E 12
 
9.2%
M 10
 
7.7%
N 8
 
6.2%
A 7
 
5.4%
e 7
 
5.4%
n 6
 
4.6%
O 5
 
3.8%
D 5
 
3.8%
T 5
 
3.8%
S 5
 
3.8%
Other values (29) 60
46.2%
Common
ValueCountFrequency (%)
20
35.1%
( 15
26.3%
) 15
26.3%
. 2
 
3.5%
& 2
 
3.5%
- 2
 
3.5%
1 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 492
72.5%
ASCII 187
 
27.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
뮤 30
 
6.1%
비 29
 
5.9%
래 27
 
5.5%
노 26
 
5.3%
방 22
 
4.5%
스 15
 
3.0%
이 13
 
2.6%
디 12
 
2.4%
에 9
 
1.8%
주 9
 
1.8%
Other values (138) 300
61.0%
ASCII
ValueCountFrequency (%)
20
 
10.7%
( 15
 
8.0%
) 15
 
8.0%
E 12
 
6.4%
M 10
 
5.3%
N 8
 
4.3%
A 7
 
3.7%
e 7
 
3.7%
n 6
 
3.2%
O 5
 
2.7%
Other values (36) 82
43.9%

최종수정시점
Real number (ℝ)

Distinct34
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0209097 × 1013
Minimum2.0141031 × 1013
Maximum2.0210129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-16T19:20:54.216896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0141031 × 1013
5-th percentile2.0210104 × 1013
Q12.0210104 × 1013
median2.0210104 × 1013
Q32.0210104 × 1013
95-th percentile2.0210128 × 1013
Maximum2.0210129 × 1013
Range6.9098005 × 1010
Interquartile range (IQR)5593

Descriptive statistics

Standard deviation7.6549889 × 109
Coefficient of variation (CV)0.00037878925
Kurtosis75.202247
Mean2.0209097 × 1013
Median Absolute Deviation (MAD)4816
Skewness-8.5161147
Sum1.7581915 × 1015
Variance5.8598855 × 1019
MonotonicityNot monotonic
2024-04-16T19:20:54.328685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20210104150124 9
 
10.3%
20210104145308 9
 
10.3%
20210104150311 9
 
10.3%
20210104144005 6
 
6.9%
20210104141700 6
 
6.9%
20210104150714 6
 
6.9%
20210104144527 4
 
4.6%
20210104150941 4
 
4.6%
20210104145814 4
 
4.6%
20210104145121 3
 
3.4%
Other values (24) 27
31.0%
ValueCountFrequency (%)
20141031120148 1
 
1.1%
20191220165605 1
 
1.1%
20210104141700 6
6.9%
20210104144005 6
6.9%
20210104144510 2
 
2.3%
20210104144527 4
4.6%
20210104144828 1
 
1.1%
20210104145121 3
 
3.4%
20210104145308 9
10.3%
20210104145604 2
 
2.3%
ValueCountFrequency (%)
20210129124714 1
1.1%
20210128172854 1
1.1%
20210128165353 1
1.1%
20210128165253 1
1.1%
20210128164242 1
1.1%
20210126184028 1
1.1%
20210126181552 1
1.1%
20210126140743 1
1.1%
20210126125321 1
1.1%
20210126124959 1
1.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
I
73 
U
14 

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 73
83.9%
U 14
 
16.1%

Length

2024-04-16T19:20:54.432967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:54.515112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 73
83.9%
u 14
 
16.1%

데이터갱신일자
Categorical

IMBALANCE 

Distinct10
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size828.0 B
2021-01-07 00:23:04.0
68 
2021-01-28 02:40:00.0
 
5
2021-01-30 02:40:00.0
 
4
2021-01-22 02:40:00.0
 
3
2021-01-28 00:23:13.0
 
2
Other values (5)
 
5

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique5 ?
Unique (%)5.7%

Sample

1st row2021-01-07 00:23:04.0
2nd row2021-01-07 00:23:04.0
3rd row2021-01-07 00:23:04.0
4th row2021-01-07 00:23:04.0
5th row2021-01-07 00:23:04.0

Common Values

ValueCountFrequency (%)
2021-01-07 00:23:04.0 68
78.2%
2021-01-28 02:40:00.0 5
 
5.7%
2021-01-30 02:40:00.0 4
 
4.6%
2021-01-22 02:40:00.0 3
 
3.4%
2021-01-28 00:23:13.0 2
 
2.3%
2019-12-22 00:23:25.0 1
 
1.1%
2021-01-27 02:40:00.0 1
 
1.1%
2021-01-31 00:23:03.0 1
 
1.1%
2021-01-24 02:40:00.0 1
 
1.1%
2018-08-31 23:59:59.0 1
 
1.1%

Length

2024-04-16T19:20:54.607978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:54.719379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-01-07 68
39.1%
00:23:04.0 68
39.1%
02:40:00.0 14
 
8.0%
2021-01-28 7
 
4.0%
2021-01-30 4
 
2.3%
2021-01-22 3
 
1.7%
00:23:13.0 2
 
1.1%
2019-12-22 1
 
0.6%
00:23:25.0 1
 
0.6%
2021-01-27 1
 
0.6%
Other values (5) 5
 
2.9%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

좌표정보(x)
Real number (ℝ)

Distinct81
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean387364.68
Minimum371173.91
Maximum395615.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-16T19:20:54.844990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum371173.91
5-th percentile379857.64
Q1384895.39
median388599.96
Q3390485.87
95-th percentile392981.61
Maximum395615.2
Range24441.292
Interquartile range (IQR)5590.4798

Descriptive statistics

Standard deviation4733.6294
Coefficient of variation (CV)0.012220085
Kurtosis1.4978941
Mean387364.68
Median Absolute Deviation (MAD)3221.7612
Skewness-1.0742277
Sum33700727
Variance22407247
MonotonicityNot monotonic
2024-04-16T19:20:54.969183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
384895.390231743 2
 
2.3%
384925.884432754 2
 
2.3%
381238.21753757 2
 
2.3%
380649.173187303 2
 
2.3%
389865.374708186 2
 
2.3%
390221.575485059 2
 
2.3%
384815.723600419 1
 
1.1%
391901.556450974 1
 
1.1%
389205.926281202 1
 
1.1%
389737.275338071 1
 
1.1%
Other values (71) 71
81.6%
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
2.3%
380909.178507556 1
1.1%
381238.21753757 2
2.3%
381562.468483638 1
1.1%
ValueCountFrequency (%)
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%
392166.153944181 1
1.1%

좌표정보(y)
Real number (ℝ)

Distinct81
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186786.73
Minimum175314.29
Maximum199153.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-16T19:20:55.089970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175314.29
5-th percentile178066.71
Q1184107.29
median187408.74
Q3189973.65
95-th percentile194263.19
Maximum199153.28
Range23838.994
Interquartile range (IQR)5866.3643

Descriptive statistics

Standard deviation4915.0641
Coefficient of variation (CV)0.026313776
Kurtosis-0.34673945
Mean186786.73
Median Absolute Deviation (MAD)3207.2439
Skewness-0.19933439
Sum16250445
Variance24157855
MonotonicityNot monotonic
2024-04-16T19:20:55.221715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185266.377015509 2
 
2.3%
179582.832485656 2
 
2.3%
189401.461194846 2
 
2.3%
186887.374273103 2
 
2.3%
189520.718402504 2
 
2.3%
194263.188438189 2
 
2.3%
179991.718386639 1
 
1.1%
188643.098571417 1
 
1.1%
190799.658369987 1
 
1.1%
188837.540283046 1
 
1.1%
Other values (71) 71
81.6%
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
2.3%
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%
194592.620689494 1
1.1%
194263.188438189 2
2.3%
193724.667830617 1
1.1%
193053.070345791 1
1.1%
192350.702222277 1
1.1%
192162.274481 1
1.1%
192126.192066428 1
1.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
음반.음악영상물제작업
87 

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 87
100.0%

Length

2024-04-16T19:20:55.324804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:55.412212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 87
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
유통관련업
87 

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 87
100.0%

Length

2024-04-16T19:20:55.490628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:55.565159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 87
100.0%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
0
82 
<NA>
 
5

Length

Max length4
Median length1
Mean length1.1724138
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 82
94.3%
<NA> 5
 
5.7%

Length

2024-04-16T19:20:55.654530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:55.740903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 82
94.3%
na 5
 
5.7%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

제작취급품목내용
Text

MISSING 

Distinct41
Distinct (%)51.2%
Missing7
Missing (%)8.0%
Memory size828.0 B
2024-04-16T19:20:55.904870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length12.1375
Min length2

Characters and Unicode

Total characters971
Distinct characters66
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

Unique34 ?
Unique (%)42.5%

Sample

1st row영상물제작·변환, CD,DVD 복사, 음반제작
2nd row음반,음악영상물
3rd row음반
4th row음원, 뮤직비디오
5th row음악영상물, 음악영상파일, USB
ValueCountFrequency (%)
음악영상물 29
16.8%
음악영상파일 20
11.6%
음반,음악영상물 19
 
11.0%
usb 17
 
9.8%
음반 12
 
6.9%
sd카드 7
 
4.0%
음원 7
 
4.0%
뮤직비디오 5
 
2.9%
제작 4
 
2.3%
등 4
 
2.3%
Other values (37) 49
28.3%
2024-04-16T19:20:56.211941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 140
14.4%
영 94
9.7%
상 94
9.7%
93
9.6%
악 85
 
8.8%
, 84
 
8.7%
물 65
 
6.7%
반 44
 
4.5%
일 25
 
2.6%
파 25
 
2.6%
Other values (56) 222
22.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 698
71.9%
Space Separator 93
 
9.6%
Other Punctuation 86
 
8.9%
Uppercase Letter 79
 
8.1%
Lowercase Letter 10
 
1.0%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 140
20.1%
영 94
13.5%
상 94
13.5%
악 85
12.2%
물 65
9.3%
반 44
 
6.3%
일 25
 
3.6%
파 25
 
3.6%
디 11
 
1.6%
오 9
 
1.3%
Other values (36) 106
15.2%
Uppercase Letter
ValueCountFrequency (%)
S 22
27.8%
U 17
21.5%
B 17
21.5%
D 13
16.5%
C 4
 
5.1%
V 2
 
2.5%
T 1
 
1.3%
A 1
 
1.3%
E 1
 
1.3%
P 1
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
s 4
40.0%
u 2
20.0%
b 2
20.0%
d 2
20.0%
Other Punctuation
ValueCountFrequency (%)
, 84
97.7%
· 2
 
2.3%
Space Separator
ValueCountFrequency (%)
93
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 698
71.9%
Common 184
 
18.9%
Latin 89
 
9.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 140
20.1%
영 94
13.5%
상 94
13.5%
악 85
12.2%
물 65
9.3%
반 44
 
6.3%
일 25
 
3.6%
파 25
 
3.6%
디 11
 
1.6%
오 9
 
1.3%
Other values (36) 106
15.2%
Latin
ValueCountFrequency (%)
S 22
24.7%
U 17
19.1%
B 17
19.1%
D 13
14.6%
C 4
 
4.5%
s 4
 
4.5%
V 2
 
2.2%
u 2
 
2.2%
b 2
 
2.2%
d 2
 
2.2%
Other values (4) 4
 
4.5%
Common
ValueCountFrequency (%)
93
50.5%
, 84
45.7%
· 2
 
1.1%
) 2
 
1.1%
( 2
 
1.1%
- 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 698
71.9%
ASCII 271
 
27.9%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 140
20.1%
영 94
13.5%
상 94
13.5%
악 85
12.2%
물 65
9.3%
반 44
 
6.3%
일 25
 
3.6%
파 25
 
3.6%
디 11
 
1.6%
오 9
 
1.3%
Other values (36) 106
15.2%
ASCII
ValueCountFrequency (%)
93
34.3%
, 84
31.0%
S 22
 
8.1%
U 17
 
6.3%
B 17
 
6.3%
D 13
 
4.8%
C 4
 
1.5%
s 4
 
1.5%
V 2
 
0.7%
) 2
 
0.7%
Other values (9) 13
 
4.8%
None
ValueCountFrequency (%)
· 2
100.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)7.1%
Missing2
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean9.1115294
Minimum0
Maximum236.36
Zeros80
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-04-16T19:20:56.305672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile26.112
Maximum236.36
Range236.36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation40.884658
Coefficient of variation (CV)4.4871345
Kurtosis21.752269
Mean9.1115294
Median Absolute Deviation (MAD)0
Skewness4.7087773
Sum774.48
Variance1671.5552
MonotonicityNot monotonic
2024-04-16T19:20:56.381237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 80
92.0%
116.42 1
 
1.1%
236.36 1
 
1.1%
220.01 1
 
1.1%
32.64 1
 
1.1%
169.05 1
 
1.1%
(Missing) 2
 
2.3%
ValueCountFrequency (%)
0.0 80
92.0%
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%
0.0 80
92.0%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
0
82 
<NA>
 
5

Length

Max length4
Median length1
Mean length1.1724138
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 82
94.3%
<NA> 5
 
5.7%

Length

2024-04-16T19:20:56.474120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:56.570510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 82
94.3%
na 5
 
5.7%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
0
80 
<NA>
 
5
1
 
2

Length

Max length4
Median length1
Mean length1.1724138
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 80
92.0%
<NA> 5
 
5.7%
1 2
 
2.3%

Length

2024-04-16T19:20:56.659036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:56.756121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 80
92.0%
na 5
 
5.7%
1 2
 
2.3%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing85
Missing (%)97.7%
Memory size828.0 B
2024-04-16T19:20:56.853913image/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%
2024-04-16T19:20:57.080127image/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 

Missing87
Missing (%)100.0%
Memory size915.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing86
Missing (%)98.9%
Memory size828.0 B
2024-04-16T19:20:57.194761image/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%
2024-04-16T19:20:57.408844image/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 

Missing87
Missing (%)100.0%
Memory size915.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01음반.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>
12음반.음악영상물제작업03_14_03_P3250000CDFF324106200800000120080917<NA>1영업/정상13영업중<NA><NA><NA><NA>0512545686<NA><NA>부산광역시 중구 대청동2가 38-5<NA><NA>동지상사20210104150714I2021-01-07 00:23:04.0<NA>385146.767764179941.115873음반.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>
23음반.음악영상물제작업03_14_03_P3250000CDFF324106201000000220101008<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 대청동1가 39-1<NA><NA>Bluewings Midi기획20210104150714I2021-01-07 00:23:04.0<NA>385359.544277180058.692273음반.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>
34음반.음악영상물제작업03_14_03_P3250000CDFF324106201400000720141125<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 동광동5가 44-17<NA><NA>그냥해레코드20210104150714I2021-01-07 00:23:04.0<NA>385448.406826180388.697595음반.음악영상물제작업유통관련업0<NA>음원, 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>
45음반.음악영상물제작업03_14_03_P3250000CDFF324106201700000420170601<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동5가 32-1<NA><NA>숨뮤직20210104150714I2021-01-07 00:23:04.0<NA>384925.884433179582.832486음반.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>
56음반.음악영상물제작업03_14_03_P3250000CDFF324106201700000520170601<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 남포동5가 32-1<NA><NA>숨뮤직20210104150714I2021-01-07 00:23:04.0<NA>384925.884433179582.832486음반.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>
67음반.음악영상물제작업03_14_03_P3250000CDFF324106201900000620190218<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 중구 대청동4가 81-1부산광역시 중구 중구로 71, 가톨릭센터 10층 (대청동4가)48968떨기나무C&M20210120172135U2021-01-22 02:40:00.0<NA>384895.964032180239.623081음반.음악영상물제작업유통관련업0<NA>음원 음악파일0.000<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_P3260000CDFF324106201400000120140903<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 강서구 신호동 218-13<NA><NA>신호노래뮤비존20210104145948I2021-01-07 00:23:04.0<NA>371173.909396177853.438901음반.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>
89음반.음악영상물제작업03_14_03_P3260000CDFF324106201700000220170220<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 강서구 신호동 217-1<NA><NA>힐링노래뮤비방20210104145948I2021-01-07 00:23:04.0<NA>371181.352546177935.959532음반.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_P3270000CDFF324106201900000120191220<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 동구 범일동 830-100번지 삼익범일아파트부산광역시 동구 조방로16번길 20, 2층 상가1호 (범일동, 삼익범일아파트)48740(주)마린엔터테인먼트20191220165605I2019-12-22 00:23:25.0<NA>388101.979739184214.504558음반.음악영상물제작업유통관련업<NA><NA>음원,음반,영상116.42<NA><NA><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
7778음반.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>
7879음반.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>
7980음반.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>
8081음반.음악영상물제작업03_14_03_P3390000CDFF324106201400000220141114<NA>3폐업3폐업<NA><NA><NA><NA>0513112080<NA><NA>부산광역시 사상구 괘법동 272-1<NA><NA>엠엔스타노래뮤비방20210104145604I2021-01-07 00:23:04.0<NA>380649.173187186887.374273음반.음악영상물제작업유통관련업0<NA>음반음악영상물0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8182음반.음악영상물제작업03_14_03_P3390000CDFF324106201700000320171116<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>부산광역시 사상구 모라동 1358-9 지하 지하동<NA><NA>타임노래뮤비방20210104145604I2021-01-07 00:23:04.0<NA>381238.217538189401.461195음반.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>
8283음반.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>
8384음반.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>
8485음반.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>
8586음반.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>
8687음반.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>