Overview

Dataset statistics

Number of variables60
Number of observations92
Missing cells3144
Missing cells (%)57.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.2 KiB
Average record size in memory525.4 B

Variable types

Numeric8
Categorical13
Text8
Unsupported30
DateTime1

Dataset

Description2021-04-01
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 (91.3%)Imbalance
총층수 is highly imbalanced (65.2%)Imbalance
지상층수 is highly imbalanced (65.2%)Imbalance
지하층수 is highly imbalanced (68.7%)Imbalance
인허가취소일자 has 92 (100.0%) missing valuesMissing
휴업시작일자 has 92 (100.0%) missing valuesMissing
휴업종료일자 has 92 (100.0%) missing valuesMissing
재개업일자 has 92 (100.0%) missing valuesMissing
소재지전화 has 56 (60.9%) missing valuesMissing
소재지면적 has 92 (100.0%) missing valuesMissing
소재지우편번호 has 92 (100.0%) missing valuesMissing
도로명전체주소 has 69 (75.0%) missing valuesMissing
도로명우편번호 has 69 (75.0%) missing valuesMissing
업태구분명 has 92 (100.0%) missing valuesMissing
주변환경명 has 92 (100.0%) missing valuesMissing
제작취급품목내용 has 7 (7.6%) missing valuesMissing
시설면적 has 2 (2.2%) missing valuesMissing
건물용도명 has 90 (97.8%) missing valuesMissing
통로너비 has 92 (100.0%) missing valuesMissing
조명시설조도 has 92 (100.0%) missing valuesMissing
노래방실수 has 92 (100.0%) missing valuesMissing
청소년실수 has 92 (100.0%) missing valuesMissing
비상계단여부 has 92 (100.0%) missing valuesMissing
비상구여부 has 92 (100.0%) missing valuesMissing
자동환기여부 has 92 (100.0%) missing valuesMissing
청소년실여부 has 92 (100.0%) missing valuesMissing
특수조명여부 has 92 (100.0%) missing valuesMissing
방음시설여부 has 92 (100.0%) missing valuesMissing
비디오재생기명 has 92 (100.0%) missing valuesMissing
조명시설유무 has 92 (100.0%) missing valuesMissing
음향시설여부 has 92 (100.0%) missing valuesMissing
편의시설여부 has 92 (100.0%) missing valuesMissing
소방시설여부 has 92 (100.0%) missing valuesMissing
총게임기수 has 92 (100.0%) missing valuesMissing
기존게임업외업종명 has 92 (100.0%) missing valuesMissing
제공게임물명 has 92 (100.0%) missing valuesMissing
공연장형태구분명 has 92 (100.0%) missing valuesMissing
품목명 has 92 (100.0%) missing valuesMissing
최초등록시점 has 92 (100.0%) missing valuesMissing
지역구분명 has 91 (98.9%) missing valuesMissing
Unnamed: 59 has 92 (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 84 (91.3%) zerosZeros

Reproduction

Analysis started2024-04-16 10:20:38.194166
Analysis finished2024-04-16 10:20:38.742536
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.5
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-04-16T19:20:38.801212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.55
Q123.75
median46.5
Q369.25
95-th percentile87.45
Maximum92
Range91
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation26.70206
Coefficient of variation (CV)0.57423785
Kurtosis-1.2
Mean46.5
Median Absolute Deviation (MAD)23
Skewness0
Sum4278
Variance713
MonotonicityStrictly increasing
2024-04-16T19:20:38.918757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
60 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
Other values (82) 82
89.1%
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 (%)
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
음반.음악영상물제작업
92 

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 92
100.0%

Length

2024-04-16T19:20:39.018507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:39.086231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 92
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
03_14_03_P
92 

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 92
100.0%

Length

2024-04-16T19:20:39.160353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:39.232281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_14_03_p 92
100.0%

개방자치단체코드
Real number (ℝ)

Distinct14
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3326847.8
Minimum3250000
Maximum3390000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-04-16T19:20:39.301183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation43092.779
Coefficient of variation (CV)0.012953036
Kurtosis-1.1376635
Mean3326847.8
Median Absolute Deviation (MAD)30000
Skewness-0.13730099
Sum3.0607 × 108
Variance1.8569876 × 109
MonotonicityNot monotonic
2024-04-16T19:20:39.410832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3370000 13
14.1%
3290000 13
14.1%
3380000 9
9.8%
3320000 8
8.7%
3390000 7
7.6%
3350000 7
7.6%
3310000 7
7.6%
3250000 7
7.6%
3330000 5
 
5.4%
3300000 5
 
5.4%
Other values (4) 11
12.0%
ValueCountFrequency (%)
3250000 7
7.6%
3260000 2
 
2.2%
3270000 2
 
2.2%
3280000 3
 
3.3%
3290000 13
14.1%
3300000 5
 
5.4%
3310000 7
7.6%
3320000 8
8.7%
3330000 5
 
5.4%
3340000 4
 
4.3%
ValueCountFrequency (%)
3390000 7
7.6%
3380000 9
9.8%
3370000 13
14.1%
3350000 7
7.6%
3340000 4
 
4.3%
3330000 5
 
5.4%
3320000 8
8.7%
3310000 7
7.6%
3300000 5
 
5.4%
3290000 13
14.1%

관리번호
Text

Distinct58
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-04-16T19:20:39.647602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1840
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

Unique41 ?
Unique (%)44.6%

Sample

1st rowCDFF3241062020000005
2nd rowCDFF3241062019000004
3rd rowCDFF3241062009000006
4th rowCDFF3241062008000001
5th rowCDFF3241062014000001
ValueCountFrequency (%)
cdff3241062008000001 10
 
10.9%
cdff3241062008000002 6
 
6.5%
cdff3241062021000001 4
 
4.3%
cdff3241062008000003 4
 
4.3%
cdff3241062014000001 3
 
3.3%
cdff3241062015000008 2
 
2.2%
cdff3241062016000006 2
 
2.2%
cdff3241062013000002 2
 
2.2%
cdff3241062017000003 2
 
2.2%
cdff3241062019000006 2
 
2.2%
Other values (48) 55
59.8%
2024-04-16T19:20:39.987320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 676
36.7%
2 214
 
11.6%
F 184
 
10.0%
1 178
 
9.7%
4 112
 
6.1%
3 109
 
5.9%
6 106
 
5.8%
C 92
 
5.0%
D 92
 
5.0%
8 32
 
1.7%
Other values (3) 45
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1472
80.0%
Uppercase Letter 368
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 676
45.9%
2 214
 
14.5%
1 178
 
12.1%
4 112
 
7.6%
3 109
 
7.4%
6 106
 
7.2%
8 32
 
2.2%
5 17
 
1.2%
9 15
 
1.0%
7 13
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 184
50.0%
C 92
25.0%
D 92
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1472
80.0%
Latin 368
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 676
45.9%
2 214
 
14.5%
1 178
 
12.1%
4 112
 
7.6%
3 109
 
7.4%
6 106
 
7.2%
8 32
 
2.2%
5 17
 
1.2%
9 15
 
1.0%
7 13
 
0.9%
Latin
ValueCountFrequency (%)
F 184
50.0%
C 92
25.0%
D 92
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 676
36.7%
2 214
 
11.6%
F 184
 
10.0%
1 178
 
9.7%
4 112
 
6.1%
3 109
 
5.9%
6 106
 
5.8%
C 92
 
5.0%
D 92
 
5.0%
8 32
 
1.7%
Other values (3) 45
 
2.4%

인허가일자
Real number (ℝ)

Distinct68
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20137408
Minimum20080417
Maximum20210203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-04-16T19:20:40.116378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080417
5-th percentile20080914
Q120080917
median20141120
Q320170601
95-th percentile20201058
Maximum20210203
Range129786
Interquartile range (IQR)89684

Descriptive statistics

Standard deviation44724.767
Coefficient of variation (CV)0.0022209793
Kurtosis-1.3650869
Mean20137408
Median Absolute Deviation (MAD)49098.5
Skewness-0.021168487
Sum1.8526415 × 109
Variance2.0003048 × 109
MonotonicityNot monotonic
2024-04-16T19:20:40.259046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080917 21
 
22.8%
20170601 3
 
3.3%
20190218 2
 
2.2%
20210126 2
 
2.2%
20141126 1
 
1.1%
20191220 1
 
1.1%
20180718 1
 
1.1%
20190911 1
 
1.1%
20200904 1
 
1.1%
20190117 1
 
1.1%
Other values (58) 58
63.0%
ValueCountFrequency (%)
20080417 1
 
1.1%
20080422 1
 
1.1%
20080711 1
 
1.1%
20080904 1
 
1.1%
20080911 1
 
1.1%
20080917 21
22.8%
20090112 1
 
1.1%
20090220 1
 
1.1%
20090625 1
 
1.1%
20090904 1
 
1.1%
ValueCountFrequency (%)
20210203 1
1.1%
20210129 1
1.1%
20210126 2
2.2%
20201230 1
1.1%
20200918 1
1.1%
20200904 1
1.1%
20200712 1
1.1%
20200611 1
1.1%
20200228 1
1.1%
20200113 1
1.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
1
80 
3
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 80
87.0%
3 12
 
13.0%

Length

2024-04-16T19:20:40.370889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:40.451202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 80
87.0%
3 12
 
13.0%

영업상태명
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
영업/정상
80 
폐업
12 

Length

Max length5
Median length5
Mean length4.6086957
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 80
87.0%
폐업 12
 
13.0%

Length

2024-04-16T19:20:40.553805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:40.655708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 80
87.0%
폐업 12
 
13.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
13
80 
3
12 

Length

Max length2
Median length2
Mean length1.8695652
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 80
87.0%
3 12
 
13.0%

Length

2024-04-16T19:20:40.736636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:40.814530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 80
87.0%
3 12
 
13.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
영업중
80 
폐업
12 

Length

Max length3
Median length3
Mean length2.8695652
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 80
87.0%
폐업 12
 
13.0%

Length

2024-04-16T19:20:40.897019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:40.982697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 80
87.0%
폐업 12
 
13.0%

폐업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
91 
20210119
 
1

Length

Max length8
Median length4
Mean length4.0434783
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> 91
98.9%
20210119 1
 
1.1%

Length

2024-04-16T19:20:41.074986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:41.155303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
98.9%
20210119 1
 
1.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

소재지전화
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing56
Missing (%)60.9%
Memory size868.0 B
2024-04-16T19:20:41.303471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.055556
Min length10

Characters and Unicode

Total characters362
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row0513164283
2nd row0513222324
3rd row0513298500
4th row0519041478
5th row0516261472
ValueCountFrequency (%)
0519629622 1
 
2.8%
0517551980 1
 
2.8%
0516244486 1
 
2.8%
0517479762 1
 
2.8%
0516247134 1
 
2.8%
0516233603 1
 
2.8%
0516075945 1
 
2.8%
0516281242 1
 
2.8%
0516114290 1
 
2.8%
0515024091 1
 
2.8%
Other values (26) 26
72.2%
2024-04-16T19:20:41.593775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

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

Most occurring categories

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

Most frequent character per category

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

Most occurring scripts

ValueCountFrequency (%)
Common 362
100.0%

Most frequent character per script

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

Most occurring blocks

ValueCountFrequency (%)
ASCII 362
100.0%

Most frequent character per block

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

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

소재지전체주소
Text

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-04-16T19:20:41.853201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length34
Mean length21.576087
Min length17

Characters and Unicode

Total characters1985
Distinct characters143
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

Unique86 ?
Unique (%)93.5%

Sample

1st row부산광역시 사상구 엄궁동 412-10
2nd row부산광역시 사상구 모라동 1358-9
3rd row부산광역시 사상구 감전동 132-7 부산디지털밸리아파트형공장
4th row부산광역시 사상구 주례동 74-44
5th row부산광역시 사상구 괘법동 272-1번지
ValueCountFrequency (%)
부산광역시 92
 
22.8%
연제구 13
 
3.2%
부산진구 13
 
3.2%
연산동 10
 
2.5%
수영구 9
 
2.2%
북구 8
 
2.0%
남구 7
 
1.7%
사상구 7
 
1.7%
중구 7
 
1.7%
금정구 7
 
1.7%
Other values (166) 230
57.1%
2024-04-16T19:20:42.221131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
311
 
15.7%
부 119
 
6.0%
산 116
 
5.8%
동 109
 
5.5%
구 96
 
4.8%
광 94
 
4.7%
시 93
 
4.7%
역 92
 
4.6%
- 87
 
4.4%
1 83
 
4.2%
Other values (133) 785
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1147
57.8%
Decimal Number 433
 
21.8%
Space Separator 311
 
15.7%
Dash Punctuation 87
 
4.4%
Uppercase Letter 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 119
 
10.4%
산 116
 
10.1%
동 109
 
9.5%
구 96
 
8.4%
광 94
 
8.2%
시 93
 
8.1%
역 92
 
8.0%
연 27
 
2.4%
제 17
 
1.5%
영 15
 
1.3%
Other values (116) 369
32.2%
Decimal Number
ValueCountFrequency (%)
1 83
19.2%
2 63
14.5%
4 52
12.0%
3 48
11.1%
0 40
9.2%
7 37
8.5%
6 36
8.3%
5 32
 
7.4%
8 23
 
5.3%
9 19
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
I 2
28.6%
K 1
14.3%
C 1
14.3%
A 1
14.3%
Space Separator
ValueCountFrequency (%)
311
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1147
57.8%
Common 831
41.9%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 119
 
10.4%
산 116
 
10.1%
동 109
 
9.5%
구 96
 
8.4%
광 94
 
8.2%
시 93
 
8.1%
역 92
 
8.0%
연 27
 
2.4%
제 17
 
1.5%
영 15
 
1.3%
Other values (116) 369
32.2%
Common
ValueCountFrequency (%)
311
37.4%
- 87
 
10.5%
1 83
 
10.0%
2 63
 
7.6%
4 52
 
6.3%
3 48
 
5.8%
0 40
 
4.8%
7 37
 
4.5%
6 36
 
4.3%
5 32
 
3.9%
Other values (2) 42
 
5.1%
Latin
ValueCountFrequency (%)
B 2
28.6%
I 2
28.6%
K 1
14.3%
C 1
14.3%
A 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1147
57.8%
ASCII 838
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
311
37.1%
- 87
 
10.4%
1 83
 
9.9%
2 63
 
7.5%
4 52
 
6.2%
3 48
 
5.7%
0 40
 
4.8%
7 37
 
4.4%
6 36
 
4.3%
5 32
 
3.8%
Other values (7) 49
 
5.8%
Hangul
ValueCountFrequency (%)
부 119
 
10.4%
산 116
 
10.1%
동 109
 
9.5%
구 96
 
8.4%
광 94
 
8.2%
시 93
 
8.1%
역 92
 
8.0%
연 27
 
2.4%
제 17
 
1.5%
영 15
 
1.3%
Other values (116) 369
32.2%

도로명전체주소
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing69
Missing (%)75.0%
Memory size868.0 B
2024-04-16T19:20:42.480147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length34
Mean length32.565217
Min length23

Characters and Unicode

Total characters749
Distinct characters123
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

Unique23 ?
Unique (%)100.0%

Sample

1st row부산광역시 사상구 낙동대로 754-1 (엄궁동)
2nd row부산광역시 사상구 백양대로 909 (모라동)
3rd row부산광역시 사상구 대동로 303, 부산디지털밸리 1018호 (감전동)
4th row부산광역시 사상구 냉정로 115-1 (주례동)
5th row부산광역시 사상구 사상로 224 (괘법동)
ValueCountFrequency (%)
부산광역시 23
 
16.1%
사상구 5
 
3.5%
부산진구 4
 
2.8%
2층 4
 
2.8%
영도구 3
 
2.1%
연제구 2
 
1.4%
6 2
 
1.4%
부전동 2
 
1.4%
북구 2
 
1.4%
1호 2
 
1.4%
Other values (90) 94
65.7%
2024-04-16T19:20:42.852407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
16.0%
동 35
 
4.7%
부 31
 
4.1%
산 30
 
4.0%
시 25
 
3.3%
구 25
 
3.3%
1 24
 
3.2%
광 24
 
3.2%
로 24
 
3.2%
역 23
 
3.1%
Other values (113) 388
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 440
58.7%
Space Separator 120
 
16.0%
Decimal Number 119
 
15.9%
Close Punctuation 23
 
3.1%
Open Punctuation 23
 
3.1%
Other Punctuation 18
 
2.4%
Dash Punctuation 4
 
0.5%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 35
 
8.0%
부 31
 
7.0%
산 30
 
6.8%
시 25
 
5.7%
구 25
 
5.7%
광 24
 
5.5%
로 24
 
5.5%
역 23
 
5.2%
번 13
 
3.0%
길 13
 
3.0%
Other values (96) 197
44.8%
Decimal Number
ValueCountFrequency (%)
1 24
20.2%
2 20
16.8%
0 12
10.1%
5 12
10.1%
3 11
9.2%
7 9
 
7.6%
4 9
 
7.6%
6 8
 
6.7%
9 7
 
5.9%
8 7
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
120
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 440
58.7%
Common 307
41.0%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 35
 
8.0%
부 31
 
7.0%
산 30
 
6.8%
시 25
 
5.7%
구 25
 
5.7%
광 24
 
5.5%
로 24
 
5.5%
역 23
 
5.2%
번 13
 
3.0%
길 13
 
3.0%
Other values (96) 197
44.8%
Common
ValueCountFrequency (%)
120
39.1%
1 24
 
7.8%
) 23
 
7.5%
( 23
 
7.5%
2 20
 
6.5%
, 18
 
5.9%
0 12
 
3.9%
5 12
 
3.9%
3 11
 
3.6%
7 9
 
2.9%
Other values (5) 35
 
11.4%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 440
58.7%
ASCII 309
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
38.8%
1 24
 
7.8%
) 23
 
7.4%
( 23
 
7.4%
2 20
 
6.5%
, 18
 
5.8%
0 12
 
3.9%
5 12
 
3.9%
3 11
 
3.6%
7 9
 
2.9%
Other values (7) 37
 
12.0%
Hangul
ValueCountFrequency (%)
동 35
 
8.0%
부 31
 
7.0%
산 30
 
6.8%
시 25
 
5.7%
구 25
 
5.7%
광 24
 
5.5%
로 24
 
5.5%
역 23
 
5.2%
번 13
 
3.0%
길 13
 
3.0%
Other values (96) 197
44.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)100.0%
Missing69
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean47639.478
Minimum46281
Maximum49107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-04-16T19:20:42.968671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46281
5-th percentile46557.3
Q146993.5
median47327
Q348236.5
95-th percentile49096.5
Maximum49107
Range2826
Interquartile range (IQR)1243

Descriptive statistics

Standard deviation874.84164
Coefficient of variation (CV)0.018363796
Kurtosis-0.90839552
Mean47639.478
Median Absolute Deviation (MAD)464
Skewness0.51493887
Sum1095708
Variance765347.9
MonotonicityNot monotonic
2024-04-16T19:20:43.073066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
46929 1
 
1.1%
48968 1
 
1.1%
48740 1
 
1.1%
49101 1
 
1.1%
49056 1
 
1.1%
49107 1
 
1.1%
47252 1
 
1.1%
47209 1
 
1.1%
47327 1
 
1.1%
47296 1
 
1.1%
Other values (13) 13
 
14.1%
(Missing) 69
75.0%
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%
47209 1
1.1%
47252 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%
48073 1
1.1%
47846 1
1.1%
47791 1
1.1%
47593 1
1.1%

사업장명
Text

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-04-16T19:20:43.258602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length18
Mean length7.7391304
Min length2

Characters and Unicode

Total characters712
Distinct characters201
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

Unique84 ?
Unique (%)91.3%

Sample

1st row꽃뿌리 노래뮤비방
2nd row타임노래뮤비방
3rd row(주)씨에스비
4th rowGINGER RECORDS
5th row엠엔스타 노래뮤비방 부산사상1호점
ValueCountFrequency (%)
노래뮤비방 4
 
3.6%
타임노래뮤비방 2
 
1.8%
숨뮤직 2
 
1.8%
entertainment 2
 
1.8%
소리창고 2
 
1.8%
엠엔스타 2
 
1.8%
스튜디오 2
 
1.8%
은하수뮤비존 2
 
1.8%
글리사운드 2
 
1.8%
명성음향 1
 
0.9%
Other values (91) 91
81.2%
2024-04-16T19:20:43.558917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
뮤 31
 
4.4%
비 30
 
4.2%
래 28
 
3.9%
노 27
 
3.8%
방 23
 
3.2%
20
 
2.8%
스 16
 
2.2%
( 16
 
2.2%
) 16
 
2.2%
이 15
 
2.1%
Other values (191) 490
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 523
73.5%
Uppercase Letter 91
 
12.8%
Lowercase Letter 39
 
5.5%
Space Separator 20
 
2.8%
Open Punctuation 16
 
2.2%
Close Punctuation 16
 
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 31
 
5.9%
비 30
 
5.7%
래 28
 
5.4%
노 27
 
5.2%
방 23
 
4.4%
스 16
 
3.1%
이 15
 
2.9%
디 14
 
2.7%
주 10
 
1.9%
에 9
 
1.7%
Other values (145) 320
61.2%
Uppercase Letter
ValueCountFrequency (%)
E 12
13.2%
M 10
11.0%
N 8
 
8.8%
A 7
 
7.7%
R 5
 
5.5%
T 5
 
5.5%
I 5
 
5.5%
S 5
 
5.5%
C 5
 
5.5%
O 5
 
5.5%
Other values (12) 24
26.4%
Lowercase Letter
ValueCountFrequency (%)
e 7
17.9%
n 6
15.4%
i 5
12.8%
t 3
7.7%
a 3
7.7%
d 2
 
5.1%
o 2
 
5.1%
r 2
 
5.1%
f 1
 
2.6%
x 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 (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 523
73.5%
Latin 130
 
18.3%
Common 59
 
8.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
뮤 31
 
5.9%
비 30
 
5.7%
래 28
 
5.4%
노 27
 
5.2%
방 23
 
4.4%
스 16
 
3.1%
이 15
 
2.9%
디 14
 
2.7%
주 10
 
1.9%
에 9
 
1.7%
Other values (145) 320
61.2%
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%
R 5
 
3.8%
T 5
 
3.8%
I 5
 
3.8%
i 5
 
3.8%
Other values (29) 60
46.2%
Common
ValueCountFrequency (%)
20
33.9%
( 16
27.1%
) 16
27.1%
& 2
 
3.4%
. 2
 
3.4%
- 2
 
3.4%
1 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 523
73.5%
ASCII 189
 
26.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
뮤 31
 
5.9%
비 30
 
5.7%
래 28
 
5.4%
노 27
 
5.2%
방 23
 
4.4%
스 16
 
3.1%
이 15
 
2.9%
디 14
 
2.7%
주 10
 
1.9%
에 9
 
1.7%
Other values (145) 320
61.2%
ASCII
ValueCountFrequency (%)
20
 
10.6%
( 16
 
8.5%
) 16
 
8.5%
E 12
 
6.3%
M 10
 
5.3%
N 8
 
4.2%
A 7
 
3.7%
e 7
 
3.7%
n 6
 
3.2%
R 5
 
2.6%
Other values (36) 82
43.4%

최종수정시점
Real number (ℝ)

Distinct39
Distinct (%)42.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0209159 × 1013
Minimum2.0141031 × 1013
Maximum2.0210223 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-04-16T19:20:43.669693image/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 percentile2.0210203 × 1013
Maximum2.0210223 × 1013
Range6.9192054 × 1010
Interquartile range (IQR)5820

Descriptive statistics

Standard deviation7.4462231 × 109
Coefficient of variation (CV)0.00036845784
Kurtosis79.547837
Mean2.0209159 × 1013
Median Absolute Deviation (MAD)4909.5
Skewness-8.7583702
Sum1.8592426 × 1015
Variance5.5446238 × 1019
MonotonicityNot monotonic
2024-04-16T19:20:43.798661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20210104145308 9
 
9.8%
20210104150124 9
 
9.8%
20210104150311 9
 
9.8%
20210104141700 6
 
6.5%
20210104150714 6
 
6.5%
20210104144005 6
 
6.5%
20210104145814 4
 
4.3%
20210104150941 4
 
4.3%
20210104144527 4
 
4.3%
20210104145121 3
 
3.3%
Other values (29) 32
34.8%
ValueCountFrequency (%)
20141031120148 1
 
1.1%
20191220165605 1
 
1.1%
20210104141700 6
6.5%
20210104144005 6
6.5%
20210104144510 2
 
2.2%
20210104144527 4
4.3%
20210104144828 1
 
1.1%
20210104145121 3
 
3.3%
20210104145308 9
9.8%
20210104145604 2
 
2.2%
ValueCountFrequency (%)
20210223173728 1
1.1%
20210223173640 1
1.1%
20210223173555 1
1.1%
20210223173421 1
1.1%
20210203173546 1
1.1%
20210203153646 1
1.1%
20210129124714 1
1.1%
20210128172854 1
1.1%
20210128165353 1
1.1%
20210128165253 1
1.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
I
74 
U
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 74
80.4%
U 18
 
19.6%

Length

2024-04-16T19:20:43.927696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:44.007317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 74
80.4%
u 18
 
19.6%

데이터갱신일자
Date

Distinct13
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
Minimum2018-08-31 23:59:59
Maximum2021-02-25 02:40:00
2024-04-16T19:20:44.072572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T19:20:44.164057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

좌표정보(x)
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean387491.29
Minimum371173.91
Maximum399942.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-04-16T19:20:44.274523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum371173.91
5-th percentile380050.65
Q1384895.39
median388485.42
Q3390438.07
95-th percentile393119.54
Maximum399942.23
Range28768.32
Interquartile range (IQR)5542.6771

Descriptive statistics

Standard deviation4796.6991
Coefficient of variation (CV)0.012378856
Kurtosis1.656933
Mean387491.29
Median Absolute Deviation (MAD)3177.0703
Skewness-0.85495093
Sum35649199
Variance23008322
MonotonicityNot monotonic
2024-04-16T19:20:44.396529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
390221.575485059 2
 
2.2%
389865.374708186 2
 
2.2%
381238.21753757 2
 
2.2%
380649.173187303 2
 
2.2%
384895.390231743 2
 
2.2%
384925.884432754 2
 
2.2%
388289.350065764 1
 
1.1%
387406.067019474 1
 
1.1%
387734.463269618 1
 
1.1%
387521.505716206 1
 
1.1%
Other values (76) 76
82.6%
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
2.2%
380909.178507556 1
1.1%
381238.21753757 2
2.2%
381562.468483638 1
1.1%
ValueCountFrequency (%)
399942.229391741 1
1.1%
395615.201853958 1
1.1%
394038.562998688 1
1.1%
393674.032955782 1
1.1%
393275.892081398 1
1.1%
392991.610020548 1
1.1%
392958.273296617 1
1.1%
392936.450989423 1
1.1%
392381.167898087 1
1.1%
392362.266071841 1
1.1%

좌표정보(y)
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186796.07
Minimum175314.29
Maximum199153.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-04-16T19:20:44.521297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175314.29
5-th percentile178175.67
Q1184211.25
median187148.05
Q3189520.72
95-th percentile194263.19
Maximum199153.28
Range23838.994
Interquartile range (IQR)5309.4671

Descriptive statistics

Standard deviation4787.8393
Coefficient of variation (CV)0.025631371
Kurtosis-0.21275741
Mean186796.07
Median Absolute Deviation (MAD)2892.5704
Skewness-0.2089439
Sum17185239
Variance22923405
MonotonicityNot monotonic
2024-04-16T19:20:44.640637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194263.188438189 2
 
2.2%
189520.718402504 2
 
2.2%
189401.461194846 2
 
2.2%
186887.374273103 2
 
2.2%
185266.377015509 2
 
2.2%
179582.832485656 2
 
2.2%
185923.365776674 1
 
1.1%
186676.305414942 1
 
1.1%
186010.342718874 1
 
1.1%
186100.763683487 1
 
1.1%
Other values (76) 76
82.6%
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
2.2%
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
2.2%
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 size868.0 B
음반.음악영상물제작업
92 

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 92
100.0%

Length

2024-04-16T19:20:44.750949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:44.822713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 92
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
유통관련업
92 

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 92
100.0%

Length

2024-04-16T19:20:44.896503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:44.966345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 92
100.0%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
0
86 
<NA>
 
6

Length

Max length4
Median length1
Mean length1.1956522
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 86
93.5%
<NA> 6
 
6.5%

Length

2024-04-16T19:20:45.052497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:45.135633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 86
93.5%
na 6
 
6.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

제작취급품목내용
Text

MISSING 

Distinct45
Distinct (%)52.9%
Missing7
Missing (%)7.6%
Memory size868.0 B
2024-04-16T19:20:45.277718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length12.682353
Min length2

Characters and Unicode

Total characters1078
Distinct characters70
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

Unique37 ?
Unique (%)43.5%

Sample

1st row음악영상물 음악영상파일USB
2nd row음악영상물 음악영상파일 USB
3rd row영상,음반CD
4th row음반,음악영상물
5th row음반음악영상물
ValueCountFrequency (%)
음악영상물 31
16.3%
음악영상파일 22
 
11.6%
음반,음악영상물 19
 
10.0%
usb 18
 
9.5%
음반 12
 
6.3%
음원 8
 
4.2%
sd카드 8
 
4.2%
등 7
 
3.7%
뮤직비디오 5
 
2.6%
제작 4
 
2.1%
Other values (42) 56
29.5%
2024-04-16T19:20:45.814684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 150
13.9%
105
 
9.7%
영 101
 
9.4%
상 101
 
9.4%
, 97
 
9.0%
악 92
 
8.5%
물 68
 
6.3%
반 46
 
4.3%
S 28
 
2.6%
일 27
 
2.5%
Other values (60) 263
24.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 767
71.2%
Space Separator 105
 
9.7%
Other Punctuation 99
 
9.2%
Uppercase Letter 97
 
9.0%
Lowercase Letter 5
 
0.5%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 150
19.6%
영 101
13.2%
상 101
13.2%
악 92
12.0%
물 68
8.9%
반 46
 
6.0%
일 27
 
3.5%
파 27
 
3.5%
디 14
 
1.8%
비 11
 
1.4%
Other values (40) 130
16.9%
Uppercase Letter
ValueCountFrequency (%)
S 28
28.9%
U 21
21.6%
B 21
21.6%
D 16
16.5%
C 5
 
5.2%
V 2
 
2.1%
E 1
 
1.0%
P 1
 
1.0%
A 1
 
1.0%
T 1
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
s 2
40.0%
u 1
20.0%
d 1
20.0%
b 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 97
98.0%
· 2
 
2.0%
Space Separator
ValueCountFrequency (%)
105
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 767
71.2%
Common 209
 
19.4%
Latin 102
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 150
19.6%
영 101
13.2%
상 101
13.2%
악 92
12.0%
물 68
8.9%
반 46
 
6.0%
일 27
 
3.5%
파 27
 
3.5%
디 14
 
1.8%
비 11
 
1.4%
Other values (40) 130
16.9%
Latin
ValueCountFrequency (%)
S 28
27.5%
U 21
20.6%
B 21
20.6%
D 16
15.7%
C 5
 
4.9%
s 2
 
2.0%
V 2
 
2.0%
u 1
 
1.0%
d 1
 
1.0%
b 1
 
1.0%
Other values (4) 4
 
3.9%
Common
ValueCountFrequency (%)
105
50.2%
, 97
46.4%
· 2
 
1.0%
) 2
 
1.0%
( 2
 
1.0%
- 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 767
71.2%
ASCII 309
28.7%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 150
19.6%
영 101
13.2%
상 101
13.2%
악 92
12.0%
물 68
8.9%
반 46
 
6.0%
일 27
 
3.5%
파 27
 
3.5%
디 14
 
1.8%
비 11
 
1.4%
Other values (40) 130
16.9%
ASCII
ValueCountFrequency (%)
105
34.0%
, 97
31.4%
S 28
 
9.1%
U 21
 
6.8%
B 21
 
6.8%
D 16
 
5.2%
C 5
 
1.6%
s 2
 
0.6%
V 2
 
0.6%
) 2
 
0.6%
Other values (9) 10
 
3.2%
None
ValueCountFrequency (%)
· 2
100.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)7.8%
Missing2
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean8.9386667
Minimum0
Maximum236.36
Zeros84
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-04-16T19:20:45.910476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile31.452
Maximum236.36
Range236.36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.82777
Coefficient of variation (CV)4.4556723
Kurtosis22.937525
Mean8.9386667
Median Absolute Deviation (MAD)0
Skewness4.8155113
Sum804.48
Variance1586.2512
MonotonicityNot monotonic
2024-04-16T19:20:45.991115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 84
91.3%
169.05 1
 
1.1%
32.64 1
 
1.1%
220.01 1
 
1.1%
236.36 1
 
1.1%
30.0 1
 
1.1%
116.42 1
 
1.1%
(Missing) 2
 
2.2%
ValueCountFrequency (%)
0.0 84
91.3%
30.0 1
 
1.1%
32.64 1
 
1.1%
116.42 1
 
1.1%
169.05 1
 
1.1%
220.01 1
 
1.1%
236.36 1
 
1.1%
ValueCountFrequency (%)
236.36 1
 
1.1%
220.01 1
 
1.1%
169.05 1
 
1.1%
116.42 1
 
1.1%
32.64 1
 
1.1%
30.0 1
 
1.1%
0.0 84
91.3%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
0
86 
<NA>
 
6

Length

Max length4
Median length1
Mean length1.1956522
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 86
93.5%
<NA> 6
 
6.5%

Length

2024-04-16T19:20:46.081946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:46.156503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 86
93.5%
na 6
 
6.5%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
0
84 
<NA>
 
6
1
 
2

Length

Max length4
Median length1
Mean length1.1956522
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 84
91.3%
<NA> 6
 
6.5%
1 2
 
2.2%

Length

2024-04-16T19:20:46.247182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:20:46.325932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 84
91.3%
na 6
 
6.5%
1 2
 
2.2%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing90
Missing (%)97.8%
Memory size868.0 B
2024-04-16T19:20:46.429027image/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%
2024-04-16T19:20:46.666829image/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 

Missing92
Missing (%)100.0%
Memory size960.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing91
Missing (%)98.9%
Memory size868.0 B
2024-04-16T19:20:46.783445image/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%
2024-04-16T19:20:46.998024image/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 

Missing92
Missing (%)100.0%
Memory size960.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
01음반.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>
12음반.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>
23음반.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>
34음반.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>
45음반.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>
56음반.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>
67음반.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>
78음반.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>
89음반.음악영상물제작업03_14_03_P3380000CDFF324106201400000620140331<NA>1영업/정상13영업중<NA><NA><NA><NA>0516233457<NA><NA>부산광역시 수영구 광안동 130-47<NA><NA>소리창고 녹음실20210104150124I2021-01-07 00:23:04.0<NA>392958.273297186520.566143음반.음악영상물제작업유통관련업0<NA>음반녹음, 영상DVD, 뮤직비디오0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910음반.음악영상물제작업03_14_03_P3380000CDFF324106201200000420121211<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 수영구 남천동 7-4<NA><NA>레블 스튜디오20210104150124I2021-01-07 00:23:04.0<NA>392381.167898185058.798043음반.음악영상물제작업유통관련업0<NA>음악영상물 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>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명Unnamed: 59
8283음반.음악영상물제작업03_14_03_P3380000CDFF324106201400000520140219<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>부산광역시 수영구 망미동 442-17<NA><NA>강남 노래 뮤비방20210104150124I2021-01-07 00:23:04.0<NA>391853.684624188251.169342음반.음악영상물제작업유통관련업0<NA>음악영상물0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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