Overview

Dataset statistics

Number of variables60
Number of observations22
Missing cells757
Missing cells (%)57.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.5 KiB
Average record size in memory533.0 B

Variable types

Numeric7
Categorical14
Text5
Unsupported33
DateTime1

Dataset

Description2021-05-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123081

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
데이터갱신구분 is highly imbalanced (56.1%)Imbalance
총층수 is highly imbalanced (56.1%)Imbalance
시설면적 is highly imbalanced (56.1%)Imbalance
지상층수 is highly imbalanced (56.1%)Imbalance
지하층수 is highly imbalanced (56.1%)Imbalance
인허가취소일자 has 22 (100.0%) missing valuesMissing
폐업일자 has 22 (100.0%) missing valuesMissing
휴업시작일자 has 22 (100.0%) missing valuesMissing
휴업종료일자 has 22 (100.0%) missing valuesMissing
재개업일자 has 22 (100.0%) missing valuesMissing
소재지전화 has 14 (63.6%) missing valuesMissing
소재지면적 has 22 (100.0%) missing valuesMissing
소재지우편번호 has 22 (100.0%) missing valuesMissing
도로명전체주소 has 17 (77.3%) missing valuesMissing
업태구분명 has 22 (100.0%) missing valuesMissing
주변환경명 has 22 (100.0%) missing valuesMissing
건물용도명 has 22 (100.0%) missing valuesMissing
통로너비 has 22 (100.0%) missing valuesMissing
조명시설조도 has 22 (100.0%) missing valuesMissing
노래방실수 has 22 (100.0%) missing valuesMissing
청소년실수 has 22 (100.0%) missing valuesMissing
비상계단여부 has 22 (100.0%) missing valuesMissing
비상구여부 has 22 (100.0%) missing valuesMissing
자동환기여부 has 22 (100.0%) missing valuesMissing
청소년실여부 has 22 (100.0%) missing valuesMissing
특수조명여부 has 22 (100.0%) missing valuesMissing
방음시설여부 has 22 (100.0%) missing valuesMissing
비디오재생기명 has 22 (100.0%) missing valuesMissing
조명시설유무 has 22 (100.0%) missing valuesMissing
음향시설여부 has 22 (100.0%) missing valuesMissing
편의시설여부 has 22 (100.0%) missing valuesMissing
소방시설여부 has 22 (100.0%) missing valuesMissing
총게임기수 has 22 (100.0%) missing valuesMissing
기존게임업외업종명 has 22 (100.0%) missing valuesMissing
제공게임물명 has 22 (100.0%) missing valuesMissing
공연장형태구분명 has 22 (100.0%) missing valuesMissing
품목명 has 22 (100.0%) missing valuesMissing
최초등록시점 has 22 (100.0%) missing valuesMissing
지역구분명 has 22 (100.0%) missing valuesMissing
Unnamed: 59 has 22 (100.0%) missing valuesMissing
번호 has unique valuesUnique
소재지전체주소 has unique valuesUnique
사업장명 has unique valuesUnique
좌표정보(x) has unique valuesUnique
좌표정보(y) has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐업일자 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
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총게임기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 59 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 09:11:52.082340
Analysis finished2024-04-17 09:11:52.527771
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-17T18:11:52.573992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2024-04-17T18:11:52.662219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
음반.음악영상물배급업
22 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
음반.음악영상물배급업 22
100.0%

Length

2024-04-17T18:11:52.750730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:11:52.827621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물배급업 22
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
03_14_02_P
22 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_14_02_P
2nd row03_14_02_P
3rd row03_14_02_P
4th row03_14_02_P
5th row03_14_02_P

Common Values

ValueCountFrequency (%)
03_14_02_P 22
100.0%

Length

2024-04-17T18:11:52.908846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:11:52.987888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_14_02_p 22
100.0%

개방자치단체코드
Real number (ℝ)

Distinct10
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3323636.4
Minimum3250000
Maximum3380000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-17T18:11:53.070896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270500
Q13292500
median3330000
Q33350000
95-th percentile3370000
Maximum3380000
Range130000
Interquartile range (IQR)57500

Descriptive statistics

Standard deviation36455.512
Coefficient of variation (CV)0.010968562
Kurtosis-0.83338383
Mean3323636.4
Median Absolute Deviation (MAD)25000
Skewness-0.28274166
Sum73120000
Variance1.3290043 × 109
MonotonicityIncreasing
2024-04-17T18:11:53.171686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3330000 5
22.7%
3350000 4
18.2%
3370000 3
13.6%
3280000 2
 
9.1%
3290000 2
 
9.1%
3310000 2
 
9.1%
3250000 1
 
4.5%
3270000 1
 
4.5%
3300000 1
 
4.5%
3380000 1
 
4.5%
ValueCountFrequency (%)
3250000 1
 
4.5%
3270000 1
 
4.5%
3280000 2
 
9.1%
3290000 2
 
9.1%
3300000 1
 
4.5%
3310000 2
 
9.1%
3330000 5
22.7%
3350000 4
18.2%
3370000 3
13.6%
3380000 1
 
4.5%
ValueCountFrequency (%)
3380000 1
 
4.5%
3370000 3
13.6%
3350000 4
18.2%
3330000 5
22.7%
3310000 2
 
9.1%
3300000 1
 
4.5%
3290000 2
 
9.1%
3280000 2
 
9.1%
3270000 1
 
4.5%
3250000 1
 
4.5%
Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-17T18:11:53.335139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters440
Distinct characters11
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

Unique10 ?
Unique (%)45.5%

Sample

1st rowCDFF3241102012000001
2nd rowCDFF3241102019000001
3rd rowCDFF3241102019000001
4th rowCDFF3241102020000002
5th rowCDFF3241102018000001
ValueCountFrequency (%)
cdff3241102012000001 2
 
9.1%
cdff3241102019000001 2
 
9.1%
cdff3241102018000001 2
 
9.1%
cdff3241102008000001 2
 
9.1%
cdff3241102021000001 2
 
9.1%
cdff3241102015000002 2
 
9.1%
cdff3241102020000002 1
 
4.5%
cdff3241102019000002 1
 
4.5%
cdff3241102020000001 1
 
4.5%
cdff3241102019000004 1
 
4.5%
Other values (6) 6
27.3%
2024-04-17T18:11:53.623785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 161
36.6%
1 71
16.1%
2 56
 
12.7%
F 44
 
10.0%
3 25
 
5.7%
4 23
 
5.2%
C 22
 
5.0%
D 22
 
5.0%
9 7
 
1.6%
8 6
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 352
80.0%
Uppercase Letter 88
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 161
45.7%
1 71
20.2%
2 56
 
15.9%
3 25
 
7.1%
4 23
 
6.5%
9 7
 
2.0%
8 6
 
1.7%
5 3
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 44
50.0%
C 22
25.0%
D 22
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 352
80.0%
Latin 88
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 161
45.7%
1 71
20.2%
2 56
 
15.9%
3 25
 
7.1%
4 23
 
6.5%
9 7
 
2.0%
8 6
 
1.7%
5 3
 
0.9%
Latin
ValueCountFrequency (%)
F 44
50.0%
C 22
25.0%
D 22
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 161
36.6%
1 71
16.1%
2 56
 
12.7%
F 44
 
10.0%
3 25
 
5.7%
4 23
 
5.2%
C 22
 
5.0%
D 22
 
5.0%
9 7
 
1.6%
8 6
 
1.4%

인허가일자
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20162051
Minimum20080417
Maximum20210126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-17T18:11:53.738919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080417
5-th percentile20080917
Q120128364
median20185612
Q320190999
95-th percentile20201214
Maximum20210126
Range129709
Interquartile range (IQR)62635

Descriptive statistics

Standard deviation44848.889
Coefficient of variation (CV)0.002224421
Kurtosis-0.65591583
Mean20162051
Median Absolute Deviation (MAD)15145.5
Skewness-0.95985787
Sum4.4356512 × 108
Variance2.0114229 × 109
MonotonicityNot monotonic
2024-04-17T18:11:53.853691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20080917 2
 
9.1%
20120104 1
 
4.5%
20180605 1
 
4.5%
20181114 1
 
4.5%
20201230 1
 
4.5%
20080417 1
 
4.5%
20191211 1
 
4.5%
20150901 1
 
4.5%
20190218 1
 
4.5%
20090625 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
20080417 1
4.5%
20080917 2
9.1%
20090625 1
4.5%
20120104 1
4.5%
20120916 1
4.5%
20150707 1
4.5%
20150901 1
4.5%
20180605 1
4.5%
20181114 1
4.5%
20181115 1
4.5%
ValueCountFrequency (%)
20210126 1
4.5%
20201230 1
4.5%
20200904 1
4.5%
20200611 1
4.5%
20191211 1
4.5%
20191028 1
4.5%
20190911 1
4.5%
20190319 1
4.5%
20190218 1
4.5%
20190117 1
4.5%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B
Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
1
18 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 18
81.8%
3 4
 
18.2%

Length

2024-04-17T18:11:53.961010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:11:54.046315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 18
81.8%
3 4
 
18.2%

영업상태명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
영업/정상
18 
폐업

Length

Max length5
Median length5
Mean length4.4545455
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 18
81.8%
폐업 4
 
18.2%

Length

2024-04-17T18:11:54.139894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:11:54.463721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 18
81.8%
폐업 4
 
18.2%
Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
13
18 
3

Length

Max length2
Median length2
Mean length1.8181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 18
81.8%
3 4
 
18.2%

Length

2024-04-17T18:11:54.549368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:11:54.642830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 18
81.8%
3 4
 
18.2%
Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
영업중
18 
폐업

Length

Max length3
Median length3
Mean length2.8181818
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 18
81.8%
폐업 4
 
18.2%

Length

2024-04-17T18:11:54.735099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:11:54.827151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 18
81.8%
폐업 4
 
18.2%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

소재지전화
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing14
Missing (%)63.6%
Infinite0
Infinite (%)0.0%
Mean4.5338157 × 108
Minimum15881815
Maximum5.1921503 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-17T18:11:54.917536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15881815
5-th percentile1.896767 × 108
Q15.1310774 × 108
median5.1571716 × 108
Q35.1725836 × 108
95-th percentile5.186537 × 108
Maximum5.1921503 × 108
Range5.0333322 × 108
Interquartile range (IQR)4150622.5

Descriptive statistics

Standard deviation1.7679063 × 108
Coefficient of variation (CV)0.38993785
Kurtosis7.9961883
Mean4.5338157 × 108
Median Absolute Deviation (MAD)2140225.5
Skewness-2.8275294
Sum3.6270525 × 109
Variance3.1254928 × 1016
MonotonicityNot monotonic
2024-04-17T18:11:55.030524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
512438633 1
 
4.5%
516281242 1
 
4.5%
513330777 1
 
4.5%
517140742 1
 
4.5%
515153075 1
 
4.5%
519215031 1
 
4.5%
517611228 1
 
4.5%
15881815 1
 
4.5%
(Missing) 14
63.6%
ValueCountFrequency (%)
15881815 1
4.5%
512438633 1
4.5%
513330777 1
4.5%
515153075 1
4.5%
516281242 1
4.5%
517140742 1
4.5%
517611228 1
4.5%
519215031 1
4.5%
ValueCountFrequency (%)
519215031 1
4.5%
517611228 1
4.5%
517140742 1
4.5%
516281242 1
4.5%
515153075 1
4.5%
513330777 1
4.5%
512438633 1
4.5%
15881815 1
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B
Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-17T18:11:55.225886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length25.363636
Min length17

Characters and Unicode

Total characters558
Distinct characters107
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

Unique22 ?
Unique (%)100.0%

Sample

1st row부산광역시 중구 부평동1가 14-2 금창빌딩 4
2nd row부산광역시 동구 범일동 830-100번지 삼익범일아파트 상가1호
3rd row부산광역시 영도구 영선동2가 43-4
4th row부산광역시 영도구 동삼동 358-7
5th row부산광역시 부산진구 양정동 261-17
ValueCountFrequency (%)
부산광역시 22
 
21.4%
해운대구 5
 
4.9%
금정구 4
 
3.9%
연산동 3
 
2.9%
연제구 3
 
2.9%
영도구 2
 
1.9%
장전동 2
 
1.9%
우동 2
 
1.9%
남구 2
 
1.9%
부산진구 2
 
1.9%
Other values (55) 56
54.4%
2024-04-17T18:11:55.557698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
 
14.5%
31
 
5.6%
30
 
5.4%
28
 
5.0%
23
 
4.1%
22
 
3.9%
22
 
3.9%
22
 
3.9%
1 22
 
3.9%
- 21
 
3.8%
Other values (97) 256
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 346
62.0%
Decimal Number 109
 
19.5%
Space Separator 81
 
14.5%
Dash Punctuation 21
 
3.8%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
31
 
9.0%
30
 
8.7%
28
 
8.1%
23
 
6.6%
22
 
6.4%
22
 
6.4%
22
 
6.4%
8
 
2.3%
7
 
2.0%
7
 
2.0%
Other values (84) 146
42.2%
Decimal Number
ValueCountFrequency (%)
1 22
20.2%
2 20
18.3%
3 14
12.8%
4 13
11.9%
0 11
10.1%
8 7
 
6.4%
6 7
 
6.4%
5 7
 
6.4%
7 6
 
5.5%
9 2
 
1.8%
Space Separator
ValueCountFrequency (%)
81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 346
62.0%
Common 211
37.8%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
31
 
9.0%
30
 
8.7%
28
 
8.1%
23
 
6.6%
22
 
6.4%
22
 
6.4%
22
 
6.4%
8
 
2.3%
7
 
2.0%
7
 
2.0%
Other values (84) 146
42.2%
Common
ValueCountFrequency (%)
81
38.4%
1 22
 
10.4%
- 21
 
10.0%
2 20
 
9.5%
3 14
 
6.6%
4 13
 
6.2%
0 11
 
5.2%
8 7
 
3.3%
6 7
 
3.3%
5 7
 
3.3%
Other values (2) 8
 
3.8%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 346
62.0%
ASCII 212
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
38.2%
1 22
 
10.4%
- 21
 
9.9%
2 20
 
9.4%
3 14
 
6.6%
4 13
 
6.1%
0 11
 
5.2%
8 7
 
3.3%
6 7
 
3.3%
5 7
 
3.3%
Other values (3) 9
 
4.2%
Hangul
ValueCountFrequency (%)
31
 
9.0%
30
 
8.7%
28
 
8.1%
23
 
6.6%
22
 
6.4%
22
 
6.4%
22
 
6.4%
8
 
2.3%
7
 
2.0%
7
 
2.0%
Other values (84) 146
42.2%

도로명전체주소
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing17
Missing (%)77.3%
Memory size308.0 B
2024-04-17T18:11:55.744385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length32
Mean length34.8
Min length28

Characters and Unicode

Total characters174
Distinct characters55
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row부산광역시 동구 조방로16번길 20, 2층 상가1호 (범일동, 삼익범일아파트)
2nd row부산광역시 영도구 영선대로67번길 6, 2층 (영선동2가)
3rd row부산광역시 영도구 동삼로28번길 4, 2층 (동삼동)
4th row부산광역시 남구 전포대로 133, 12층 (문현동)
5th row부산광역시 금정구 부산대학로50번길 68, 피엔유 에이벡 301호 (장전동)
ValueCountFrequency (%)
부산광역시 5
 
14.7%
2층 3
 
8.8%
영도구 2
 
5.9%
남구 1
 
2.9%
301호 1
 
2.9%
에이벡 1
 
2.9%
피엔유 1
 
2.9%
68 1
 
2.9%
부산대학로50번길 1
 
2.9%
금정구 1
 
2.9%
Other values (17) 17
50.0%
2024-04-17T18:11:56.035265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
16.7%
8
 
4.6%
2 7
 
4.0%
6
 
3.4%
6
 
3.4%
, 6
 
3.4%
( 5
 
2.9%
) 5
 
2.9%
1 5
 
2.9%
5
 
2.9%
Other values (45) 92
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102
58.6%
Space Separator 29
 
16.7%
Decimal Number 27
 
15.5%
Other Punctuation 6
 
3.4%
Open Punctuation 5
 
2.9%
Close Punctuation 5
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
7.8%
6
 
5.9%
6
 
5.9%
5
 
4.9%
5
 
4.9%
5
 
4.9%
5
 
4.9%
5
 
4.9%
4
 
3.9%
4
 
3.9%
Other values (32) 49
48.0%
Decimal Number
ValueCountFrequency (%)
2 7
25.9%
1 5
18.5%
6 4
14.8%
3 3
11.1%
0 3
11.1%
8 2
 
7.4%
5 1
 
3.7%
4 1
 
3.7%
7 1
 
3.7%
Space Separator
ValueCountFrequency (%)
29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102
58.6%
Common 72
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
7.8%
6
 
5.9%
6
 
5.9%
5
 
4.9%
5
 
4.9%
5
 
4.9%
5
 
4.9%
5
 
4.9%
4
 
3.9%
4
 
3.9%
Other values (32) 49
48.0%
Common
ValueCountFrequency (%)
29
40.3%
2 7
 
9.7%
, 6
 
8.3%
( 5
 
6.9%
) 5
 
6.9%
1 5
 
6.9%
6 4
 
5.6%
3 3
 
4.2%
0 3
 
4.2%
8 2
 
2.8%
Other values (3) 3
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102
58.6%
ASCII 72
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
40.3%
2 7
 
9.7%
, 6
 
8.3%
( 5
 
6.9%
) 5
 
6.9%
1 5
 
6.9%
6 4
 
5.6%
3 3
 
4.2%
0 3
 
4.2%
8 2
 
2.8%
Other values (3) 3
 
4.2%
Hangul
ValueCountFrequency (%)
8
 
7.8%
6
 
5.9%
6
 
5.9%
5
 
4.9%
5
 
4.9%
5
 
4.9%
5
 
4.9%
5
 
4.9%
4
 
3.9%
4
 
3.9%
Other values (32) 49
48.0%
Distinct6
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
17 
48740
 
1
49056
 
1
49107
 
1
48400
 
1

Length

Max length5
Median length4
Mean length4.2272727
Min length4

Unique

Unique5 ?
Unique (%)22.7%

Sample

1st row<NA>
2nd row48740
3rd row49056
4th row49107
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 17
77.3%
48740 1
 
4.5%
49056 1
 
4.5%
49107 1
 
4.5%
48400 1
 
4.5%
46285 1
 
4.5%

Length

2024-04-17T18:11:56.150489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:11:56.249723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
77.3%
48740 1
 
4.5%
49056 1
 
4.5%
49107 1
 
4.5%
48400 1
 
4.5%
46285 1
 
4.5%

사업장명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-17T18:11:56.418115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length8.5
Min length3

Characters and Unicode

Total characters187
Distinct characters91
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row문화영상기획
2nd row(주)마린엔터테인먼트
3rd row코인노래스튜디오
4th row노래녹음실
5th row(주)이지엘이십일
ValueCountFrequency (%)
문화영상기획 1
 
3.4%
주식회사 1
 
3.4%
studio 1
 
3.4%
스튜디오(mm 1
 
3.4%
엠엠 1
 
3.4%
jude기획 1
 
3.4%
주)지에스피아 1
 
3.4%
주)에스오엠프렌즈 1
 
3.4%
사운드퍼즐 1
 
3.4%
주)바림 1
 
3.4%
Other values (19) 19
65.5%
2024-04-17T18:11:56.707381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
5.3%
( 9
 
4.8%
) 9
 
4.8%
7
 
3.7%
7
 
3.7%
5
 
2.7%
5
 
2.7%
5
 
2.7%
4
 
2.1%
3
 
1.6%
Other values (81) 123
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 133
71.1%
Uppercase Letter 28
 
15.0%
Open Punctuation 9
 
4.8%
Close Punctuation 9
 
4.8%
Space Separator 7
 
3.7%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10
 
7.5%
7
 
5.3%
5
 
3.8%
5
 
3.8%
5
 
3.8%
4
 
3.0%
3
 
2.3%
3
 
2.3%
3
 
2.3%
3
 
2.3%
Other values (63) 85
63.9%
Uppercase Letter
ValueCountFrequency (%)
I 3
10.7%
U 3
10.7%
M 3
10.7%
S 3
10.7%
D 3
10.7%
J 2
7.1%
A 2
7.1%
T 2
7.1%
O 2
7.1%
H 1
 
3.6%
Other values (4) 4
14.3%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133
71.1%
Latin 28
 
15.0%
Common 26
 
13.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10
 
7.5%
7
 
5.3%
5
 
3.8%
5
 
3.8%
5
 
3.8%
4
 
3.0%
3
 
2.3%
3
 
2.3%
3
 
2.3%
3
 
2.3%
Other values (63) 85
63.9%
Latin
ValueCountFrequency (%)
I 3
10.7%
U 3
10.7%
M 3
10.7%
S 3
10.7%
D 3
10.7%
J 2
7.1%
A 2
7.1%
T 2
7.1%
O 2
7.1%
H 1
 
3.6%
Other values (4) 4
14.3%
Common
ValueCountFrequency (%)
( 9
34.6%
) 9
34.6%
7
26.9%
& 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 133
71.1%
ASCII 54
28.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10
 
7.5%
7
 
5.3%
5
 
3.8%
5
 
3.8%
5
 
3.8%
4
 
3.0%
3
 
2.3%
3
 
2.3%
3
 
2.3%
3
 
2.3%
Other values (63) 85
63.9%
ASCII
ValueCountFrequency (%)
( 9
16.7%
) 9
16.7%
7
13.0%
I 3
 
5.6%
U 3
 
5.6%
M 3
 
5.6%
S 3
 
5.6%
D 3
 
5.6%
J 2
 
3.7%
A 2
 
3.7%
Other values (8) 10
18.5%

최종수정시점
Real number (ℝ)

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0209253 × 1013
Minimum2.0191028 × 1013
Maximum2.021031 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-17T18:11:56.808669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0191028 × 1013
5-th percentile2.0210104 × 1013
Q12.0210104 × 1013
median2.0210104 × 1013
Q32.0210104 × 1013
95-th percentile2.0210199 × 1013
Maximum2.021031 × 1013
Range1.9281928 × 1010
Interquartile range (IQR)5773.25

Descriptive statistics

Standard deviation4.0708298 × 109
Coefficient of variation (CV)0.00020143396
Kurtosis21.993115
Mean2.0209253 × 1013
Median Absolute Deviation (MAD)5003
Skewness-4.6893561
Sum4.4460356 × 1014
Variance1.6571655 × 1019
MonotonicityNot monotonic
2024-04-17T18:11:56.909186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20210104150941 5
22.7%
20210104144005 3
13.6%
20210104145308 2
 
9.1%
20210104150311 2
 
9.1%
20210104150714 1
 
4.5%
20191028183316 1
 
4.5%
20210203173950 1
 
4.5%
20210126125612 1
 
4.5%
20210104145121 1
 
4.5%
20210104144527 1
 
4.5%
Other values (4) 4
18.2%
ValueCountFrequency (%)
20191028183316 1
 
4.5%
20210104144005 3
13.6%
20210104144527 1
 
4.5%
20210104145121 1
 
4.5%
20210104145308 2
 
9.1%
20210104150124 1
 
4.5%
20210104150254 1
 
4.5%
20210104150311 2
 
9.1%
20210104150714 1
 
4.5%
20210104150941 5
22.7%
ValueCountFrequency (%)
20210310111619 1
 
4.5%
20210203173950 1
 
4.5%
20210126184217 1
 
4.5%
20210126125612 1
 
4.5%
20210104150941 5
22.7%
20210104150714 1
 
4.5%
20210104150311 2
 
9.1%
20210104150254 1
 
4.5%
20210104150124 1
 
4.5%
20210104145308 2
 
9.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
I
20 
U
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 20
90.9%
U 2
 
9.1%

Length

2024-04-17T18:11:57.012793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:11:57.097435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 20
90.9%
u 2
 
9.1%
Distinct6
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2019-10-30 00:23:03
Maximum2021-03-11 00:23:00
2024-04-17T18:11:57.169669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T18:11:57.247836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

좌표정보(x)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean390548.67
Minimum384815.72
Maximum398264.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-17T18:11:57.346813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum384815.72
5-th percentile386155.05
Q1388759.58
median390221.52
Q3392060.38
95-th percentile394828.65
Maximum398264.64
Range13448.915
Interquartile range (IQR)3300.7916

Descriptive statistics

Standard deviation3032.8791
Coefficient of variation (CV)0.0077656881
Kurtosis0.86256707
Mean390548.67
Median Absolute Deviation (MAD)1785.9107
Skewness0.52884013
Sum8592070.7
Variance9198355.8
MonotonicityNot monotonic
2024-04-17T18:11:57.464950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
384815.723600419 1
 
4.5%
393573.517296519 1
 
4.5%
392113.31485237 1
 
4.5%
390381.518351675 1
 
4.5%
391901.556450974 1
 
4.5%
389444.436546193 1
 
4.5%
389653.123255737 1
 
4.5%
390372.104985414 1
 
4.5%
389902.827357765 1
 
4.5%
390070.944935839 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
384815.723600419 1
4.5%
386082.764708587 1
4.5%
387528.393422261 1
4.5%
388101.979738616 1
4.5%
388150.394268792 1
4.5%
388702.828471721 1
4.5%
388929.849081255 1
4.5%
389444.436546193 1
4.5%
389653.123255737 1
4.5%
389902.827357765 1
4.5%
ValueCountFrequency (%)
398264.638827631 1
4.5%
394894.708833081 1
4.5%
393573.517296519 1
4.5%
393561.58646018 1
4.5%
393400.979705311 1
4.5%
392113.31485237 1
4.5%
391901.556450974 1
4.5%
391833.242928225 1
4.5%
390390.264598148 1
4.5%
390381.518351675 1
4.5%

좌표정보(y)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187697.85
Minimum177211.3
Maximum199153.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-17T18:11:57.572545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177211.3
5-th percentile178452.78
Q1184458.06
median188155.36
Q3189184.95
95-th percentile195131.12
Maximum199153.28
Range21941.977
Interquartile range (IQR)4726.8873

Descriptive statistics

Standard deviation5358.6226
Coefficient of variation (CV)0.028549196
Kurtosis0.27905266
Mean187697.85
Median Absolute Deviation (MAD)2766.5979
Skewness0.019700558
Sum4129352.6
Variance28714836
MonotonicityNot monotonic
2024-04-17T18:11:57.676588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
179991.718386639 1
 
4.5%
188018.687138009 1
 
4.5%
184143.195507523 1
 
4.5%
188292.028796087 1
 
4.5%
188643.098571417 1
 
4.5%
189180.052866007 1
 
4.5%
195149.600052536 1
 
4.5%
194592.620689494 1
 
4.5%
194780.064298314 1
 
4.5%
199153.280383391 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
177211.303830763 1
4.5%
178371.788022856 1
4.5%
179991.718386639 1
4.5%
183957.473275579 1
4.5%
184143.195507523 1
4.5%
184214.504558267 1
4.5%
185188.729710212 1
4.5%
186694.666831446 1
4.5%
187324.866715106 1
4.5%
187644.193252441 1
4.5%
ValueCountFrequency (%)
199153.280383391 1
4.5%
195149.600052536 1
4.5%
194780.064298314 1
4.5%
194592.620689494 1
4.5%
190721.925568 1
4.5%
189186.579952086 1
4.5%
189180.052866007 1
4.5%
188643.098571417 1
4.5%
188474.665440257 1
4.5%
188417.564727123 1
4.5%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
음반.음악영상물배급업
22 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
음반.음악영상물배급업 22
100.0%

Length

2024-04-17T18:11:57.778635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:11:57.859687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물배급업 22
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
유통관련업
22 

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 22
100.0%

Length

2024-04-17T18:11:57.944909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:11:58.029376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 22
100.0%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
20 
<NA>
 
2

Length

Max length4
Median length1
Mean length1.2727273
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 20
90.9%
<NA> 2
 
9.1%

Length

2024-04-17T18:11:58.126685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:11:58.215458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
90.9%
na 2
 
9.1%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B
Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-17T18:11:58.361809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length22.5
Mean length15.590909
Min length2

Characters and Unicode

Total characters343
Distinct characters63
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)81.8%

Sample

1st row영상물 배급업
2nd row음원,음반,영상
3rd row온라인동영상,SD카드,USB
4th row온라인 동영상, sd카드, usb
5th row음원,앨범,온라인음반,음악영상물,USB,뮤직비디오
ValueCountFrequency (%)
음반 8
 
13.3%
음원 7
 
11.7%
음악영상물 6
 
10.0%
뮤직비디오 4
 
6.7%
영상물 3
 
5.0%
음악교육영상물 2
 
3.3%
홍보영상물 2
 
3.3%
음반,음악영상물 2
 
3.3%
2
 
3.3%
온라인 2
 
3.3%
Other values (20) 22
36.7%
2024-04-17T18:11:58.649411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
12.0%
38
 
11.1%
, 32
 
9.3%
20
 
5.8%
20
 
5.8%
17
 
5.0%
16
 
4.7%
15
 
4.4%
9
 
2.6%
9
 
2.6%
Other values (53) 126
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 235
68.5%
Space Separator 38
 
11.1%
Other Punctuation 33
 
9.6%
Uppercase Letter 18
 
5.2%
Decimal Number 10
 
2.9%
Lowercase Letter 5
 
1.5%
Dash Punctuation 2
 
0.6%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
41
17.4%
20
 
8.5%
20
 
8.5%
17
 
7.2%
16
 
6.8%
15
 
6.4%
9
 
3.8%
9
 
3.8%
6
 
2.6%
6
 
2.6%
Other values (32) 76
32.3%
Decimal Number
ValueCountFrequency (%)
3 3
30.0%
6 2
20.0%
7 2
20.0%
5 1
 
10.0%
8 1
 
10.0%
1 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
S 5
27.8%
U 4
22.2%
B 4
22.2%
D 3
16.7%
C 2
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
s 2
40.0%
d 1
20.0%
u 1
20.0%
b 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 32
97.0%
· 1
 
3.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 235
68.5%
Common 85
 
24.8%
Latin 23
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
41
17.4%
20
 
8.5%
20
 
8.5%
17
 
7.2%
16
 
6.8%
15
 
6.4%
9
 
3.8%
9
 
3.8%
6
 
2.6%
6
 
2.6%
Other values (32) 76
32.3%
Common
ValueCountFrequency (%)
38
44.7%
, 32
37.6%
3 3
 
3.5%
6 2
 
2.4%
7 2
 
2.4%
- 2
 
2.4%
5 1
 
1.2%
8 1
 
1.2%
1 1
 
1.2%
) 1
 
1.2%
Other values (2) 2
 
2.4%
Latin
ValueCountFrequency (%)
S 5
21.7%
U 4
17.4%
B 4
17.4%
D 3
13.0%
C 2
 
8.7%
s 2
 
8.7%
d 1
 
4.3%
u 1
 
4.3%
b 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 235
68.5%
ASCII 107
31.2%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
41
17.4%
20
 
8.5%
20
 
8.5%
17
 
7.2%
16
 
6.8%
15
 
6.4%
9
 
3.8%
9
 
3.8%
6
 
2.6%
6
 
2.6%
Other values (32) 76
32.3%
ASCII
ValueCountFrequency (%)
38
35.5%
, 32
29.9%
S 5
 
4.7%
U 4
 
3.7%
B 4
 
3.7%
D 3
 
2.8%
3 3
 
2.8%
6 2
 
1.9%
7 2
 
1.9%
- 2
 
1.9%
Other values (10) 12
 
11.2%
None
ValueCountFrequency (%)
· 1
100.0%

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
20 
<NA>
 
2

Length

Max length4
Median length1
Mean length1.2727273
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 20
90.9%
<NA> 2
 
9.1%

Length

2024-04-17T18:11:58.766659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:11:58.850777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
90.9%
na 2
 
9.1%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
20 
<NA>
 
2

Length

Max length4
Median length1
Mean length1.2727273
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 20
90.9%
<NA> 2
 
9.1%

Length

2024-04-17T18:11:58.940121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:11:59.028406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
90.9%
na 2
 
9.1%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
20 
<NA>
 
2

Length

Max length4
Median length1
Mean length1.2727273
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 20
90.9%
<NA> 2
 
9.1%

Length

2024-04-17T18:11:59.117262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T18:11:59.206455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
90.9%
na 2
 
9.1%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

Unnamed: 59
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01음반.음악영상물배급업03_14_02_P3250000CDFF324110201200000120120104<NA>3폐업3폐업<NA><NA><NA><NA>512438633<NA><NA>부산광역시 중구 부평동1가 14-2 금창빌딩 4<NA><NA>문화영상기획20210104150714I2021-01-07 00:23:04.0<NA>384815.7236179991.718387음반.음악영상물배급업유통관련업0<NA>영상물 배급업000<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.음악영상물배급업03_14_02_P3270000CDFF324110201900000120191028<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 동구 범일동 830-100번지 삼익범일아파트 상가1호부산광역시 동구 조방로16번길 20, 2층 상가1호 (범일동, 삼익범일아파트)48740(주)마린엔터테인먼트20191028183316I2019-10-30 00:23:03.0<NA>388101.979739184214.504558음반.음악영상물배급업유통관련업<NA><NA>음원,음반,영상<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23음반.음악영상물배급업03_14_02_P3280000CDFF324110201900000120190911<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 영도구 영선동2가 43-4부산광역시 영도구 영선대로67번길 6, 2층 (영선동2가)49056코인노래스튜디오20210203173950U2021-02-05 02:40:00.0<NA>386082.764709178371.788023음반.음악영상물배급업유통관련업0<NA>온라인동영상,SD카드,USB000<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.음악영상물배급업03_14_02_P3280000CDFF324110202000000220200904<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 영도구 동삼동 358-7부산광역시 영도구 동삼로28번길 4, 2층 (동삼동)49107노래녹음실20210126125612U2021-01-28 02:40:00.0<NA>388929.849081177211.303831음반.음악영상물배급업유통관련업0<NA>온라인 동영상, sd카드, usb000<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.음악영상물배급업03_14_02_P3290000CDFF324110201800000120181115<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 양정동 261-17<NA><NA>(주)이지엘이십일20210104145308I2021-01-07 00:23:04.0<NA>388702.828472188417.564727음반.음악영상물배급업유통관련업0<NA>음원,앨범,온라인음반,음악영상물,USB,뮤직비디오000<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.음악영상물배급업03_14_02_P3290000CDFF324110201900000220190117<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 부산진구 부전동 347-40 서면종합상가시장<NA><NA>신디코리아20210104145308I2021-01-07 00:23:04.0<NA>387528.393422186694.666831음반.음악영상물배급업유통관련업0<NA>디지털음반,앨범,CD,USB, 뮤직비디오 등000<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.음악영상물배급업03_14_02_P3300000CDFF324110202000000120200611<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 동래구 안락동 452-20 수홍하이츠빌라A동<NA><NA>하다지(HADAJI)20210104145121I2021-01-07 00:23:04.0<NA>391833.242928190721.925568음반.음악영상물배급업유통관련업0<NA>음원 음반 음악영상물 음악교육영상물 홍보영상물000<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.음악영상물배급업03_14_02_P3310000CDFF324110200800000120080917<NA>1영업/정상13영업중<NA><NA><NA><NA>516281242<NA><NA>부산광역시 남구 대연동 1436<NA><NA>에이스미디어20210104144527I2021-01-07 00:23:04.0<NA>390390.264598183957.473276음반.음악영상물배급업유통관련업0<NA>음반,음악영상물000<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.음악영상물배급업03_14_02_P3310000CDFF324110202100000120210126<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 남구 문현동 1227-2부산광역시 남구 전포대로 133, 12층 (문현동)48400(주)에이치엘 스토리20210126184217I2021-01-28 00:23:13.0<NA>388150.394269185188.72971음반.음악영상물배급업유통관련업<NA><NA>음반·음악 영상물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910음반.음악영상물배급업03_14_02_P3330000CDFF324110201900000420190109<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 재송동 380-1 센텀동부센트레빌아파트<NA><NA>앨리스큐브20210104150941I2021-01-07 00:23:04.0<NA>393400.979705189186.579952음반.음악영상물배급업유통관련업0<NA>디지털음반, 앨범,CD,USB,뮤직비디오000<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
1213음반.음악영상물배급업03_14_02_P3330000CDFF324110201800000320180605<NA>1영업/정상13영업중<NA><NA><NA><NA>513330777<NA><NA>부산광역시 해운대구 우동 1466-1 부산문화콘텐츠컴플렉스<NA><NA>주식회사 펄스20210104150941I2021-01-07 00:23:04.0<NA>393573.517297188018.687138음반.음악영상물배급업유통관련업0<NA>음원, 앨범, 온라인 음반, 음악영상물000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1314음반.음악영상물배급업03_14_02_P3330000CDFF324110201900000520190319<NA>1영업/정상13영업중<NA><NA><NA><NA>517140742<NA><NA>부산광역시 해운대구 재송동 1209-0 센텀아이에스타워<NA><NA>사단법인 한국문화콘텐츠협회20210104150941I2021-01-07 00:23:04.0<NA>393561.58646188474.66544음반.음악영상물배급업유통관련업0<NA>음반 음원 영상물000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1415음반.음악영상물배급업03_14_02_P3350000CDFF324110200900000120090625<NA>3폐업3폐업<NA><NA><NA><NA>515153075<NA><NA>부산광역시 금정구 청룡동 32-16<NA><NA>스타피아뮤직20210104144005I2021-01-07 00:23:04.0<NA>390070.944936199153.280383음반.음악영상물배급업유통관련업0<NA>음반000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1516음반.음악영상물배급업03_14_02_P3350000CDFF324110202100000120190218<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 금정구 장전동 383-22부산광역시 금정구 부산대학로50번길 68, 피엔유 에이벡 301호 (장전동)46285(주)바림20210310111619I2021-03-11 00:23:00.0<NA>389902.827358194780.064298음반.음악영상물배급업유통관련업0<NA>음원 앨범 뮤직비디오 등000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1617음반.음악영상물배급업03_14_02_P3350000CDFF324110201500000220150901<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 금정구 부곡동 243-24 3층<NA><NA>사운드퍼즐20210104144005I2021-01-07 00:23:04.0<NA>390372.104985194592.620689음반.음악영상물배급업유통관련업0<NA>음반, 시디, 뮤직비디오000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1718음반.음악영상물배급업03_14_02_P3350000CDFF324110201900000320191211<NA>1영업/정상13영업중<NA><NA><NA><NA>519215031<NA><NA>부산광역시 금정구 장전동 152-16<NA><NA>(주)에스오엠프렌즈20210104144005I2021-01-07 00:23:04.0<NA>389653.123256195149.600053음반.음악영상물배급업유통관련업0<NA>음원 음반 음악영상물 음악교육영상물 홍보영상물000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1819음반.음악영상물배급업03_14_02_P3370000CDFF324110200800000120080417<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>부산광역시 연제구 연산동 702-9 뉴그랜드오피스텔<NA><NA>(주)지에스피아20210104150254I2021-01-07 00:23:04.0<NA>389444.436546189180.052866음반.음악영상물배급업유통관련업0<NA>음반, 음악영상물000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1920음반.음악영상물배급업03_14_02_P3370000CDFF324110200800000220080917<NA>1영업/정상13영업중<NA><NA><NA><NA>517611228<NA><NA>부산광역시 연제구 연산동 2235-2<NA><NA>JUDE기획20210104150311I2021-01-07 00:23:04.0<NA>391901.556451188643.098571음반.음악영상물배급업유통관련업0<NA>음반,음악영상물000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2021음반.음악영상물배급업03_14_02_P3370000CDFF324110202000000320201230<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 연제구 연산동 2138-1<NA><NA>엠엠 스튜디오(MM STUDIO)20210104150311I2021-01-07 00:23:04.0<NA>390381.518352188292.028796음반.음악영상물배급업유통관련업0<NA>음원 음반 음악파일 음악영상물 음악영상파일000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2122음반.음악영상물배급업03_14_02_P3380000CDFF324110201800000120181114<NA>1영업/정상13영업중<NA><NA><NA><NA>15881815<NA><NA>부산광역시 수영구 남천동 556-4 남천동대우포르투나<NA><NA>에이치엘미디어20210104150124I2021-01-07 00:23:04.0<NA>392113.314852184143.195508음반.음악영상물배급업유통관련업0<NA>뮤직비디오, 음원, 음악영상물000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>