Overview

Dataset statistics

Number of variables59
Number of observations68
Missing cells2015
Missing cells (%)50.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.3 KiB
Average record size in memory515.9 B

Variable types

Numeric6
Categorical19
DateTime3
Unsupported26
Text5

Dataset

Description24년03월_6270000_대구광역시_03_14_03_P_음반.음악영상물제작업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106496&dataSetDetailId=DDI_0000106540&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
총층수 is highly imbalanced (86.1%)Imbalance
지상층수 is highly imbalanced (88.9%)Imbalance
지하층수 is highly imbalanced (88.9%)Imbalance
인허가취소일자 has 68 (100.0%) missing valuesMissing
폐업일자 has 60 (88.2%) missing valuesMissing
휴업시작일자 has 68 (100.0%) missing valuesMissing
휴업종료일자 has 68 (100.0%) missing valuesMissing
재개업일자 has 68 (100.0%) missing valuesMissing
소재지전화 has 30 (44.1%) missing valuesMissing
소재지면적 has 68 (100.0%) missing valuesMissing
소재지우편번호 has 68 (100.0%) missing valuesMissing
도로명전체주소 has 48 (70.6%) missing valuesMissing
도로명우편번호 has 48 (70.6%) missing valuesMissing
업태구분명 has 68 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.5%) missing valuesMissing
좌표정보(Y) has 1 (1.5%) missing valuesMissing
주변환경명 has 68 (100.0%) missing valuesMissing
제작취급품목내용 has 58 (85.3%) missing valuesMissing
시설면적 has 1 (1.5%) missing valuesMissing
건물용도명 has 68 (100.0%) missing valuesMissing
비상계단여부 has 68 (100.0%) missing valuesMissing
비상구여부 has 68 (100.0%) missing valuesMissing
자동환기여부 has 68 (100.0%) missing valuesMissing
청소년실여부 has 68 (100.0%) missing valuesMissing
특수조명여부 has 68 (100.0%) missing valuesMissing
방음시설여부 has 68 (100.0%) missing valuesMissing
비디오재생기명 has 68 (100.0%) missing valuesMissing
조명시설유무 has 68 (100.0%) missing valuesMissing
음향시설여부 has 68 (100.0%) missing valuesMissing
편의시설여부 has 68 (100.0%) missing valuesMissing
소방시설여부 has 68 (100.0%) missing valuesMissing
기존게임업외업종명 has 68 (100.0%) missing valuesMissing
제공게임물명 has 68 (100.0%) missing valuesMissing
공연장형태구분명 has 68 (100.0%) missing valuesMissing
품목명 has 68 (100.0%) missing valuesMissing
최초등록시점 has 68 (100.0%) missing valuesMissing
지역구분명 has 68 (100.0%) missing valuesMissing
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
건물용도명 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
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
시설면적 has 62 (91.2%) zerosZeros

Reproduction

Analysis started2024-04-29 12:08:23.929406
Analysis finished2024-04-29 12:08:24.683767
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.5
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-04-29T21:08:24.766314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation19.77372
Coefficient of variation (CV)0.5731513
Kurtosis-1.2
Mean34.5
Median Absolute Deviation (MAD)17
Skewness0
Sum2346
Variance391
MonotonicityStrictly increasing
2024-04-29T21:08:24.929559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
45 1
 
1.5%
51 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
44 1
 
1.5%
36 1
 
1.5%
Other values (58) 58
85.3%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
68 1
1.5%
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
음반.음악영상물제작업
68 

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 68
100.0%

Length

2024-04-29T21:08:25.058293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:08:25.151718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 68
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
03_14_03_P
68 

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 68
100.0%

Length

2024-04-29T21:08:25.244218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:08:25.344039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_14_03_p 68
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3438529.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-04-29T21:08:25.433444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3440000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20389.103
Coefficient of variation (CV)0.0059295998
Kurtosis-1.0457737
Mean3438529.4
Median Absolute Deviation (MAD)20000
Skewness0.16164352
Sum2.3382 × 108
Variance4.1571554 × 108
MonotonicityIncreasing
2024-04-29T21:08:25.541592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3440000 18
26.5%
3420000 12
17.6%
3460000 12
17.6%
3410000 11
16.2%
3470000 5
 
7.4%
3430000 4
 
5.9%
3450000 4
 
5.9%
3480000 2
 
2.9%
ValueCountFrequency (%)
3410000 11
16.2%
3420000 12
17.6%
3430000 4
 
5.9%
3440000 18
26.5%
3450000 4
 
5.9%
3460000 12
17.6%
3470000 5
 
7.4%
3480000 2
 
2.9%
ValueCountFrequency (%)
3480000 2
 
2.9%
3470000 5
 
7.4%
3460000 12
17.6%
3450000 4
 
5.9%
3440000 18
26.5%
3430000 4
 
5.9%
3420000 12
17.6%
3410000 11
16.2%

관리번호
Categorical

Distinct33
Distinct (%)48.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
CDFF3241062023000001
5 
CDFF3241062020000001
 
4
CDFF3241062006000001
 
4
CDFF3241062021000001
 
4
CDFF3241062009000001
 
3
Other values (28)
48 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique14 ?
Unique (%)20.6%

Sample

1st rowCDFF3241062007000001
2nd rowCDFF3241062019000001
3rd rowCDFF3241062023000001
4th rowCDFF3241062021000001
5th rowCDFF3241062023000002

Common Values

ValueCountFrequency (%)
CDFF3241062023000001 5
 
7.4%
CDFF3241062020000001 4
 
5.9%
CDFF3241062006000001 4
 
5.9%
CDFF3241062021000001 4
 
5.9%
CDFF3241062009000001 3
 
4.4%
CDFF3241062008000001 3
 
4.4%
CDFF3241062006000003 3
 
4.4%
CDFF3241062006000004 3
 
4.4%
CDFF3241062006000002 3
 
4.4%
CDFF3241062015000001 3
 
4.4%
Other values (23) 33
48.5%

Length

2024-04-29T21:08:25.654697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cdff3241062023000001 5
 
7.4%
cdff3241062006000001 4
 
5.9%
cdff3241062021000001 4
 
5.9%
cdff3241062020000001 4
 
5.9%
cdff3241062009000001 3
 
4.4%
cdff3241062008000001 3
 
4.4%
cdff3241062006000003 3
 
4.4%
cdff3241062006000004 3
 
4.4%
cdff3241062006000002 3
 
4.4%
cdff3241062015000001 3
 
4.4%
Other values (23) 33
48.5%

인허가일자
Date

Distinct55
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
Minimum2006-07-15 00:00:00
Maximum2023-12-20 00:00:00
2024-04-29T21:08:25.762727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:08:25.893207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
1
50 
3
16 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 50
73.5%
3 16
 
23.5%
4 2
 
2.9%

Length

2024-04-29T21:08:26.033096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:08:26.303635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 50
73.5%
3 16
 
23.5%
4 2
 
2.9%

영업상태명
Categorical

Distinct3
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
영업/정상
50 
폐업
16 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.5588235
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 50
73.5%
폐업 16
 
23.5%
취소/말소/만료/정지/중지 2
 
2.9%

Length

2024-04-29T21:08:26.398798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:08:26.494040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 50
73.5%
폐업 16
 
23.5%
취소/말소/만료/정지/중지 2
 
2.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
13
50 
3
16 
35
 
2

Length

Max length2
Median length2
Mean length1.7647059
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 50
73.5%
3 16
 
23.5%
35 2
 
2.9%

Length

2024-04-29T21:08:26.599786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:08:26.697446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 50
73.5%
3 16
 
23.5%
35 2
 
2.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
영업중
50 
폐업
16 
직권말소
 
2

Length

Max length4
Median length3
Mean length2.7941176
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 50
73.5%
폐업 16
 
23.5%
직권말소 2
 
2.9%

Length

2024-04-29T21:08:26.838018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:08:26.951067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 50
73.5%
폐업 16
 
23.5%
직권말소 2
 
2.9%

폐업일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing60
Missing (%)88.2%
Memory size676.0 B
Minimum2015-08-24 00:00:00
Maximum2023-12-29 00:00:00
2024-04-29T21:08:27.051186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:08:27.158440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

소재지전화
Text

MISSING 

Distinct38
Distinct (%)100.0%
Missing30
Missing (%)44.1%
Memory size676.0 B
2024-04-29T21:08:27.354709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.131579
Min length8

Characters and Unicode

Total characters385
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

Unique38 ?
Unique (%)100.0%

Sample

1st row0534215848
2nd row0534254097
3rd row0534214253
4th row0534229212
5th row07043514797
ValueCountFrequency (%)
0537559537 1
 
2.6%
0534215848 1
 
2.6%
0536533511 1
 
2.6%
0536220406 1
 
2.6%
0532151234 1
 
2.6%
0536548889 1
 
2.6%
0536242238 1
 
2.6%
0532471600 1
 
2.6%
0534751177 1
 
2.6%
0536343390 1
 
2.6%
Other values (28) 28
73.7%
2024-04-29T21:08:27.698332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 68
17.7%
3 62
16.1%
0 55
14.3%
2 40
10.4%
4 35
9.1%
6 32
8.3%
7 25
 
6.5%
1 22
 
5.7%
8 21
 
5.5%
9 19
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 379
98.4%
Dash Punctuation 6
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 68
17.9%
3 62
16.4%
0 55
14.5%
2 40
10.6%
4 35
9.2%
6 32
8.4%
7 25
 
6.6%
1 22
 
5.8%
8 21
 
5.5%
9 19
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 385
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 68
17.7%
3 62
16.1%
0 55
14.3%
2 40
10.4%
4 35
9.1%
6 32
8.3%
7 25
 
6.5%
1 22
 
5.7%
8 21
 
5.5%
9 19
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 385
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 68
17.7%
3 62
16.1%
0 55
14.3%
2 40
10.4%
4 35
9.1%
6 32
8.3%
7 25
 
6.5%
1 22
 
5.7%
8 21
 
5.5%
9 19
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

소재지전체주소
Text

Distinct57
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-04-29T21:08:27.930242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length22.235294
Min length16

Characters and Unicode

Total characters1512
Distinct characters106
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)76.5%

Sample

1st row대구광역시 중구 삼덕동*가 **-*
2nd row대구광역시 중구 삼덕동*가 **-*
3rd row대구광역시 중구 대봉동 ***-**
4th row대구광역시 중구 수창동 *** 대구역센트럴자이
5th row대구광역시 중구 남산동 ***-*
ValueCountFrequency (%)
69
22.5%
대구광역시 68
22.2%
남구 18
 
5.9%
대명동 16
 
5.2%
동구 12
 
3.9%
수성구 12
 
3.9%
중구 11
 
3.6%
층 8
 
2.6%
달서구 5
 
1.6%
북구 4
 
1.3%
Other values (59) 83
27.1%
2024-04-29T21:08:28.293968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 319
21.1%
304
20.1%
구 139
9.2%
대 96
 
6.3%
동 81
 
5.4%
역 69
 
4.6%
시 69
 
4.6%
광 68
 
4.5%
- 56
 
3.7%
남 24
 
1.6%
Other values (96) 287
19.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 828
54.8%
Other Punctuation 320
 
21.2%
Space Separator 304
 
20.1%
Dash Punctuation 56
 
3.7%
Uppercase Letter 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 139
16.8%
대 96
11.6%
동 81
 
9.8%
역 69
 
8.3%
시 69
 
8.3%
광 68
 
8.2%
남 24
 
2.9%
성 19
 
2.3%
명 16
 
1.9%
산 15
 
1.8%
Other values (89) 232
28.0%
Other Punctuation
ValueCountFrequency (%)
* 319
99.7%
, 1
 
0.3%
Space Separator
ValueCountFrequency (%)
304
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 828
54.8%
Common 682
45.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 139
16.8%
대 96
11.6%
동 81
 
9.8%
역 69
 
8.3%
시 69
 
8.3%
광 68
 
8.2%
남 24
 
2.9%
성 19
 
2.3%
명 16
 
1.9%
산 15
 
1.8%
Other values (89) 232
28.0%
Common
ValueCountFrequency (%)
* 319
46.8%
304
44.6%
- 56
 
8.2%
( 1
 
0.1%
) 1
 
0.1%
, 1
 
0.1%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 828
54.8%
ASCII 684
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 319
46.6%
304
44.4%
- 56
 
8.2%
B 2
 
0.3%
( 1
 
0.1%
) 1
 
0.1%
, 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 139
16.8%
대 96
11.6%
동 81
 
9.8%
역 69
 
8.3%
시 69
 
8.3%
광 68
 
8.2%
남 24
 
2.9%
성 19
 
2.3%
명 16
 
1.9%
산 15
 
1.8%
Other values (89) 232
28.0%

도로명전체주소
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing48
Missing (%)70.6%
Memory size676.0 B
2024-04-29T21:08:28.508511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length32.05
Min length24

Characters and Unicode

Total characters641
Distinct characters97
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 명덕로**길 **-*, 지하*층 (대봉동)
2nd row대구광역시 중구 서성로 **, ***동 ***호 (수창동, 대구역센트럴자이)
3rd row대구광역시 중구 명륜로**길 ** (남산동)
4th row대구광역시 중구 명덕로**길 ** (남산동)
5th row대구광역시 동구 동촌로**길 *, 지하*층 (방촌동)
ValueCountFrequency (%)
대구광역시 20
 
15.5%
20
 
15.5%
호 8
 
6.2%
층 6
 
4.7%
동구 4
 
3.1%
중구 4
 
3.1%
남구 4
 
3.1%
대명동 3
 
2.3%
지하*층 3
 
2.3%
동 3
 
2.3%
Other values (47) 54
41.9%
2024-04-29T21:08:28.833016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 113
17.6%
109
17.0%
구 39
 
6.1%
대 32
 
5.0%
동 30
 
4.7%
역 22
 
3.4%
시 22
 
3.4%
로 20
 
3.1%
광 20
 
3.1%
, 19
 
3.0%
Other values (87) 215
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
56.0%
Other Punctuation 132
 
20.6%
Space Separator 109
 
17.0%
Open Punctuation 18
 
2.8%
Close Punctuation 18
 
2.8%
Dash Punctuation 3
 
0.5%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 39
 
10.9%
대 32
 
8.9%
동 30
 
8.4%
역 22
 
6.1%
시 22
 
6.1%
로 20
 
5.6%
광 20
 
5.6%
길 11
 
3.1%
층 9
 
2.5%
호 8
 
2.2%
Other values (80) 146
40.7%
Other Punctuation
ValueCountFrequency (%)
* 113
85.6%
, 19
 
14.4%
Space Separator
ValueCountFrequency (%)
109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 359
56.0%
Common 280
43.7%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 39
 
10.9%
대 32
 
8.9%
동 30
 
8.4%
역 22
 
6.1%
시 22
 
6.1%
로 20
 
5.6%
광 20
 
5.6%
길 11
 
3.1%
층 9
 
2.5%
호 8
 
2.2%
Other values (80) 146
40.7%
Common
ValueCountFrequency (%)
* 113
40.4%
109
38.9%
, 19
 
6.8%
( 18
 
6.4%
) 18
 
6.4%
- 3
 
1.1%
Latin
ValueCountFrequency (%)
A 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 359
56.0%
ASCII 282
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 113
40.1%
109
38.7%
, 19
 
6.7%
( 18
 
6.4%
) 18
 
6.4%
- 3
 
1.1%
A 2
 
0.7%
Hangul
ValueCountFrequency (%)
구 39
 
10.9%
대 32
 
8.9%
동 30
 
8.4%
역 22
 
6.1%
시 22
 
6.1%
로 20
 
5.6%
광 20
 
5.6%
길 11
 
3.1%
층 9
 
2.5%
호 8
 
2.2%
Other values (80) 146
40.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)90.0%
Missing48
Missing (%)70.6%
Infinite0
Infinite (%)0.0%
Mean42010.25
Minimum41026
Maximum42962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-04-29T21:08:28.947053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41026
Q141438.75
median41969
Q342438.75
95-th percentile42912.6
Maximum42962
Range1936
Interquartile range (IQR)1000

Descriptive statistics

Standard deviation628.96581
Coefficient of variation (CV)0.014971723
Kurtosis-1.1666665
Mean42010.25
Median Absolute Deviation (MAD)531.5
Skewness-0.17828906
Sum840205
Variance395597.99
MonotonicityNot monotonic
2024-04-29T21:08:29.058094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
41969 2
 
2.9%
41026 2
 
2.9%
41414 1
 
1.5%
42910 1
 
1.5%
42962 1
 
1.5%
42774 1
 
1.5%
42660 1
 
1.5%
42250 1
 
1.5%
41447 1
 
1.5%
41953 1
 
1.5%
Other values (8) 8
 
11.8%
(Missing) 48
70.6%
ValueCountFrequency (%)
41026 2
2.9%
41162 1
1.5%
41226 1
1.5%
41414 1
1.5%
41447 1
1.5%
41798 1
1.5%
41915 1
1.5%
41953 1
1.5%
41969 2
2.9%
42250 1
1.5%
ValueCountFrequency (%)
42962 1
1.5%
42910 1
1.5%
42774 1
1.5%
42660 1
1.5%
42510 1
1.5%
42415 1
1.5%
42410 1
1.5%
42409 1
1.5%
42250 1
1.5%
41969 2
2.9%

사업장명
Text

Distinct67
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-04-29T21:08:29.281375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length7.6176471
Min length2

Characters and Unicode

Total characters518
Distinct characters170
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)97.1%

Sample

1st rowR.J엔터테인먼트
2nd row삼덕놀이터
3rd row싱어드림
4th row바비사운즈
5th row더시퀀스오피스
ValueCountFrequency (%)
주식회사 7
 
7.4%
스튜디오 3
 
3.2%
목화노래뮤비방 2
 
2.1%
m 2
 
2.1%
뮤직콤 1
 
1.1%
컬쳐팩토리아지트 1
 
1.1%
주)프레임미디어 1
 
1.1%
korea 1
 
1.1%
tcn 1
 
1.1%
소셜멜로디 1
 
1.1%
Other values (74) 74
78.7%
2024-04-29T21:08:29.672319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
5.0%
주 18
 
3.5%
( 18
 
3.5%
) 18
 
3.5%
디 14
 
2.7%
스 13
 
2.5%
사 12
 
2.3%
뮤 11
 
2.1%
미 10
 
1.9%
노 10
 
1.9%
Other values (160) 368
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 391
75.5%
Uppercase Letter 53
 
10.2%
Space Separator 26
 
5.0%
Open Punctuation 18
 
3.5%
Close Punctuation 18
 
3.5%
Lowercase Letter 9
 
1.7%
Other Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 18
 
4.6%
디 14
 
3.6%
스 13
 
3.3%
사 12
 
3.1%
뮤 11
 
2.8%
미 10
 
2.6%
노 10
 
2.6%
래 10
 
2.6%
회 9
 
2.3%
트 9
 
2.3%
Other values (131) 275
70.3%
Uppercase Letter
ValueCountFrequency (%)
A 7
13.2%
M 7
13.2%
S 5
9.4%
J 4
 
7.5%
E 4
 
7.5%
C 4
 
7.5%
D 3
 
5.7%
K 3
 
5.7%
N 3
 
5.7%
R 3
 
5.7%
Other values (7) 10
18.9%
Lowercase Letter
ValueCountFrequency (%)
a 2
22.2%
k 1
11.1%
e 1
11.1%
d 1
11.1%
s 1
11.1%
t 1
11.1%
u 1
11.1%
i 1
11.1%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 391
75.5%
Common 65
 
12.5%
Latin 62
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 18
 
4.6%
디 14
 
3.6%
스 13
 
3.3%
사 12
 
3.1%
뮤 11
 
2.8%
미 10
 
2.6%
노 10
 
2.6%
래 10
 
2.6%
회 9
 
2.3%
트 9
 
2.3%
Other values (131) 275
70.3%
Latin
ValueCountFrequency (%)
A 7
 
11.3%
M 7
 
11.3%
S 5
 
8.1%
J 4
 
6.5%
E 4
 
6.5%
C 4
 
6.5%
D 3
 
4.8%
K 3
 
4.8%
N 3
 
4.8%
R 3
 
4.8%
Other values (15) 19
30.6%
Common
ValueCountFrequency (%)
26
40.0%
( 18
27.7%
) 18
27.7%
. 3
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 391
75.5%
ASCII 127
 
24.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
20.5%
( 18
14.2%
) 18
14.2%
A 7
 
5.5%
M 7
 
5.5%
S 5
 
3.9%
J 4
 
3.1%
E 4
 
3.1%
C 4
 
3.1%
D 3
 
2.4%
Other values (19) 31
24.4%
Hangul
ValueCountFrequency (%)
주 18
 
4.6%
디 14
 
3.6%
스 13
 
3.3%
사 12
 
3.1%
뮤 11
 
2.8%
미 10
 
2.6%
노 10
 
2.6%
래 10
 
2.6%
회 9
 
2.3%
트 9
 
2.3%
Other values (131) 275
70.3%

최종수정시점
Date

Distinct38
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
Minimum2021-01-05 10:33:27
Maximum2024-02-14 13:09:24
2024-04-29T21:08:29.795439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:08:29.909805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
I
53 
U
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 53
77.9%
U 15
 
22.1%

Length

2024-04-29T21:08:30.020924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:08:30.109969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 53
77.9%
u 15
 
22.1%

데이터갱신일자
Categorical

Distinct24
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Memory size676.0 B
2021-01-07 00:23:04
42 
2021-01-22 02:40:00
 
3
2023-05-28 02:40:00
 
2
2023-04-13 02:40:00
 
1
2021-12-15 02:40:00
 
1
Other values (19)
19 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique21 ?
Unique (%)30.9%

Sample

1st row2021-01-07 00:23:04
2nd row2022-04-03 02:40:00
3rd row2023-09-10 00:18:09
4th row2021-03-27 00:23:11
5th row2023-12-23 00:16:40

Common Values

ValueCountFrequency (%)
2021-01-07 00:23:04 42
61.8%
2021-01-22 02:40:00 3
 
4.4%
2023-05-28 02:40:00 2
 
2.9%
2023-04-13 02:40:00 1
 
1.5%
2021-12-15 02:40:00 1
 
1.5%
2023-10-07 02:40:00 1
 
1.5%
2023-02-16 00:40:57 1
 
1.5%
2021-09-03 00:22:50 1
 
1.5%
2024-02-16 02:40:00 1
 
1.5%
2022-01-19 02:40:00 1
 
1.5%
Other values (14) 14
 
20.6%

Length

2024-04-29T21:08:30.197733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-01-07 42
30.9%
00:23:04 42
30.9%
02:40:00 15
 
11.0%
2021-01-22 3
 
2.2%
2023-05-28 2
 
1.5%
00:22:50 2
 
1.5%
00:20:00 1
 
0.7%
00:22:36 1
 
0.7%
2021-10-08 1
 
0.7%
2023-09-10 1
 
0.7%
Other values (26) 26
19.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)91.0%
Missing1
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean344241.05
Minimum332044.52
Maximum355671.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-04-29T21:08:30.314015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum332044.52
5-th percentile338368.22
Q1342678.35
median343750.26
Q3346622.68
95-th percentile349826.69
Maximum355671.83
Range23627.316
Interquartile range (IQR)3944.3339

Descriptive statistics

Standard deviation3876.3922
Coefficient of variation (CV)0.011260691
Kurtosis1.9641496
Mean344241.05
Median Absolute Deviation (MAD)2194.5102
Skewness-0.046568817
Sum23064150
Variance15026416
MonotonicityNot monotonic
2024-04-29T21:08:30.447834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342974.037122597 2
 
2.9%
342756.201272373 2
 
2.9%
342632.844134809 2
 
2.9%
342655.198796769 2
 
2.9%
341269.072428108 2
 
2.9%
343157.682044362 2
 
2.9%
339947.943498128 1
 
1.5%
347018.119112446 1
 
1.5%
346052.837640338 1
 
1.5%
339653.006210948 1
 
1.5%
Other values (51) 51
75.0%
ValueCountFrequency (%)
332044.517721279 1
1.5%
335406.403250719 1
1.5%
335829.274636933 1
1.5%
337817.591097864 1
1.5%
339653.006210948 1
1.5%
339817.103024021 1
1.5%
339947.943498128 1
1.5%
340513.936057453 1
1.5%
340529.956202237 1
1.5%
341137.678630336 1
1.5%
ValueCountFrequency (%)
355671.833565 1
1.5%
353753.700728207 1
1.5%
352029.766745041 1
1.5%
350324.186886976 1
1.5%
348665.873374859 1
1.5%
348609.345598426 1
1.5%
348337.430803126 1
1.5%
347971.837140767 1
1.5%
347966.919075363 1
1.5%
347940.948542442 1
1.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)91.0%
Missing1
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean263509.11
Minimum256955.34
Maximum277700.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-04-29T21:08:30.582766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum256955.34
5-th percentile259098.98
Q1261957.8
median262992.92
Q3264432.63
95-th percentile270079.07
Maximum277700.9
Range20745.563
Interquartile range (IQR)2474.8321

Descriptive statistics

Standard deviation3269.564
Coefficient of variation (CV)0.012407784
Kurtosis5.1073055
Mean263509.11
Median Absolute Deviation (MAD)1299.9362
Skewness1.6121149
Sum17655110
Variance10690049
MonotonicityNot monotonic
2024-04-29T21:08:30.709479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262935.615063045 2
 
2.9%
262448.230076066 2
 
2.9%
262643.90217311 2
 
2.9%
261979.05555734 2
 
2.9%
263400.741871288 2
 
2.9%
261957.795169076 2
 
2.9%
269932.234132657 1
 
1.5%
261056.730780684 1
 
1.5%
260995.631001679 1
 
1.5%
271510.394704604 1
 
1.5%
Other values (51) 51
75.0%
ValueCountFrequency (%)
256955.338083063 1
1.5%
257746.55982143 1
1.5%
258768.418757212 1
1.5%
258980.784098352 1
1.5%
259374.777677398 1
1.5%
259607.799141399 1
1.5%
260357.649369045 1
1.5%
260995.631001679 1
1.5%
261056.730780684 1
1.5%
261086.107395922 1
1.5%
ValueCountFrequency (%)
277700.900956561 1
1.5%
271510.394704604 1
1.5%
270330.693460875 1
1.5%
270142.000956458 1
1.5%
269932.234132657 1
1.5%
269520.061029551 1
1.5%
266949.969932007 1
1.5%
266015.065008318 1
1.5%
265832.511938134 1
1.5%
265798.74243242 1
1.5%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
음반.음악영상물제작업
68 

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 68
100.0%

Length

2024-04-29T21:08:30.824221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:08:30.910237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 68
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
유통관련업
68 

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 68
100.0%

Length

2024-04-29T21:08:30.999166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:08:31.087595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 68
100.0%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
0
66 
<NA>
 
1
2
 
1

Length

Max length4
Median length1
Mean length1.0441176
Min length1

Unique

Unique2 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
0 66
97.1%
<NA> 1
 
1.5%
2 1
 
1.5%

Length

2024-04-29T21:08:31.201521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:08:31.311542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 66
97.1%
na 1
 
1.5%
2 1
 
1.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

제작취급품목내용
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing58
Missing (%)85.3%
Memory size676.0 B
2024-04-29T21:08:31.460243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12.5
Mean length12.3
Min length6

Characters and Unicode

Total characters123
Distinct characters30
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)100.0%

Sample

1st row음반,음악 영상물
2nd row음반음악영상물제작업
3rd row음반영상 등
4th row음악영상물,음악영상파일
5th row음반 및 음악영상물 제작
ValueCountFrequency (%)
및 4
 
14.8%
제작 3
 
11.1%
음반 2
 
7.4%
음악영상물 2
 
7.4%
음반,음악 1
 
3.7%
인쇄출판 1
 
3.7%
미디어컨텐츠 1
 
3.7%
유통 1
 
3.7%
음원제작 1
 
3.7%
음악파일 1
 
3.7%
Other values (10) 10
37.0%
2024-04-29T21:08:31.814524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 18
14.6%
17
13.8%
악 10
 
8.1%
영 9
 
7.3%
상 9
 
7.3%
제 7
 
5.7%
반 7
 
5.7%
작 7
 
5.7%
, 6
 
4.9%
물 5
 
4.1%
Other values (20) 28
22.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 100
81.3%
Space Separator 17
 
13.8%
Other Punctuation 6
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 18
18.0%
악 10
10.0%
영 9
9.0%
상 9
9.0%
제 7
 
7.0%
반 7
 
7.0%
작 7
 
7.0%
물 5
 
5.0%
및 4
 
4.0%
판 2
 
2.0%
Other values (18) 22
22.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 100
81.3%
Common 23
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 18
18.0%
악 10
10.0%
영 9
9.0%
상 9
9.0%
제 7
 
7.0%
반 7
 
7.0%
작 7
 
7.0%
물 5
 
5.0%
및 4
 
4.0%
판 2
 
2.0%
Other values (18) 22
22.0%
Common
ValueCountFrequency (%)
17
73.9%
, 6
 
26.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 100
81.3%
ASCII 23
 
18.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 18
18.0%
악 10
10.0%
영 9
9.0%
상 9
9.0%
제 7
 
7.0%
반 7
 
7.0%
작 7
 
7.0%
물 5
 
5.0%
및 4
 
4.0%
판 2
 
2.0%
Other values (18) 22
22.0%
ASCII
ValueCountFrequency (%)
17
73.9%
, 6
 
26.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)9.0%
Missing1
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean16.290448
Minimum0
Maximum443
Zeros62
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-04-29T21:08:31.933039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile80.481
Maximum443
Range443
Interquartile range (IQR)0

Descriptive statistics

Standard deviation72.026966
Coefficient of variation (CV)4.4214233
Kurtosis27.073257
Mean16.290448
Median Absolute Deviation (MAD)0
Skewness5.156716
Sum1091.46
Variance5187.8838
MonotonicityNot monotonic
2024-04-29T21:08:32.035174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 62
91.2%
77.87 1
 
1.5%
443.0 1
 
1.5%
118.69 1
 
1.5%
370.3 1
 
1.5%
81.6 1
 
1.5%
(Missing) 1
 
1.5%
ValueCountFrequency (%)
0.0 62
91.2%
77.87 1
 
1.5%
81.6 1
 
1.5%
118.69 1
 
1.5%
370.3 1
 
1.5%
443.0 1
 
1.5%
ValueCountFrequency (%)
443.0 1
 
1.5%
370.3 1
 
1.5%
118.69 1
 
1.5%
81.6 1
 
1.5%
77.87 1
 
1.5%
0.0 62
91.2%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
0
67 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0441176
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 67
98.5%
<NA> 1
 
1.5%

Length

2024-04-29T21:08:32.172730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:08:32.285321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 67
98.5%
na 1
 
1.5%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
0
67 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0441176
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 67
98.5%
<NA> 1
 
1.5%

Length

2024-04-29T21:08:32.413351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:08:32.510324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 67
98.5%
na 1
 
1.5%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

통로너비
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
49 
0
19 

Length

Max length4
Median length4
Mean length3.1617647
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
72.1%
0 19
 
27.9%

Length

2024-04-29T21:08:32.608482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:08:32.700608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
72.1%
0 19
 
27.9%

조명시설조도
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
49 
0
19 

Length

Max length4
Median length4
Mean length3.1617647
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
72.1%
0 19
 
27.9%

Length

2024-04-29T21:08:32.807828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:08:32.903084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
72.1%
0 19
 
27.9%

노래방실수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
49 
0
19 

Length

Max length4
Median length4
Mean length3.1617647
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
72.1%
0 19
 
27.9%

Length

2024-04-29T21:08:33.002273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:08:33.102459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
72.1%
0 19
 
27.9%

청소년실수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
49 
0
19 

Length

Max length4
Median length4
Mean length3.1617647
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
72.1%
0 19
 
27.9%

Length

2024-04-29T21:08:33.211136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:08:33.317611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
72.1%
0 19
 
27.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

총게임기수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
49 
0
19 

Length

Max length4
Median length4
Mean length3.1617647
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
72.1%
0 19
 
27.9%

Length

2024-04-29T21:08:33.425967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:08:33.782662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
72.1%
0 19
 
27.9%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01음반.음악영상물제작업03_14_03_P3410000CDFF32410620070000012007-03-05<NA>3폐업3폐업<NA><NA><NA><NA>0534215848<NA><NA>대구광역시 중구 삼덕동*가 **-*<NA><NA>R.J엔터테인먼트2021-01-05 11:00:16I2021-01-07 00:23:04<NA>344279.772581263948.33608음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12음반.음악영상물제작업03_14_03_P3410000CDFF32410620190000012019-08-02<NA>3폐업3폐업2022-04-01<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동*가 **-*<NA><NA>삼덕놀이터2022-04-01 17:50:01U2022-04-03 02:40:00<NA>344354.579983264184.67514음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23음반.음악영상물제작업03_14_03_P3410000CDFF32410620230000012023-09-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 대봉동 ***-**대구광역시 중구 명덕로**길 **-*, 지하*층 (대봉동)41953싱어드림2023-09-08 13:54:16I2023-09-10 00:18:09<NA>344946.132918263104.002516음반.음악영상물제작업유통관련업0<NA>음반,음악 영상물77.8700<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
34음반.음악영상물제작업03_14_03_P3410000CDFF32410620210000012021-03-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 수창동 *** 대구역센트럴자이대구광역시 중구 서성로 **, ***동 ***호 (수창동, 대구역센트럴자이)41915바비사운즈2021-03-25 10:16:45I2021-03-27 00:23:11<NA>343202.399058265133.447119음반.음악영상물제작업유통관련업<NA><NA>음반음악영상물제작업<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>
45음반.음악영상물제작업03_14_03_P3410000CDFF32410620230000022023-12-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 ***-*대구광역시 중구 명륜로**길 ** (남산동)41969더시퀀스오피스2023-12-20 10:24:28I2023-12-23 00:16:40<NA>343440.527839263639.794402음반.음악영상물제작업유통관련업0<NA>음반영상 등443.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
56음반.음악영상물제작업03_14_03_P3410000CDFF32410620200000012020-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 ****-*대구광역시 중구 명덕로**길 ** (남산동)41969스튜디오 소리샘2021-12-13 13:47:46U2021-12-15 02:40:00<NA>343430.47764263253.756373음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
67음반.음악영상물제작업03_14_03_P3410000CDFF32410620060000032006-07-18<NA>1영업/정상13영업중<NA><NA><NA><NA>0534254097<NA><NA>대구광역시 중구 봉산동 **-**<NA><NA>삼영불교음반2021-01-05 11:00:16I2021-01-07 00:23:04<NA>344031.084674263986.626582음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78음반.음악영상물제작업03_14_03_P3410000CDFF32410620060000042006-07-18<NA>1영업/정상13영업중<NA><NA><NA><NA>0534214253<NA><NA>대구광역시 중구 남산동 ****-**<NA><NA>가락기획2021-01-05 11:00:16I2021-01-07 00:23:04<NA>343750.259978263094.090498음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89음반.음악영상물제작업03_14_03_P3410000CDFF32410620070000022007-05-29<NA>1영업/정상13영업중<NA><NA><NA><NA>0534229212<NA><NA>대구광역시 중구 봉산동 ***-*<NA><NA>우주음반2021-01-05 11:00:16I2021-01-07 00:23:04<NA>344271.768298263516.450202음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910음반.음악영상물제작업03_14_03_P3410000CDFF32410620130000012013-02-04<NA>1영업/정상13영업중<NA><NA><NA><NA>07043514797<NA><NA>대구광역시 중구 남일동 **-*<NA><NA>(주)펀팩토리2021-01-05 11:00:04I2021-01-07 00:23:04<NA>343908.47526264557.544338음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
5859음반.음악영상물제작업03_14_03_P3460000CDFF32410620060000012006-07-15<NA>1영업/정상13영업중<NA><NA><NA><NA>0537933217<NA><NA>대구광역시 수성구 만촌동 *** 만촌보성타운 상가 ***<NA><NA>마더미디어2021-01-05 10:58:20I2021-01-07 00:23:04<NA>348337.430803265015.70761음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5960음반.음악영상물제작업03_14_03_P3460000CDFF32410620060000042006-07-18<NA>1영업/정상13영업중<NA><NA><NA><NA>0536549781<NA><NA>대구광역시 수성구 만촌동 산 *** 대구산업정보대 창업보육센터*층<NA><NA>필름코리아2021-01-05 10:58:20I2021-01-07 00:23:04<NA>348665.873375262623.706996음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6061음반.음악영상물제작업03_14_03_P3460000CDFF32410620060000022006-07-18<NA>1영업/정상13영업중<NA><NA><NA><NA>0537422180<NA><NA>대구광역시 수성구 중동 ***-*<NA><NA>서울뮤직뱅크2021-01-05 10:58:04I2021-01-07 00:23:04<NA>345435.581512261580.908717음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6162음반.음악영상물제작업03_14_03_P3470000CDFF32410620200000012020-07-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 두류동 ***-**대구광역시 달서구 야외음악당로**길 ** (두류동)42660MANY MAKE(마니메이크)2023-05-26 16:06:06U2023-05-28 02:40:00<NA>341137.67863262973.894125음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
6263음반.음악영상물제작업03_14_03_P3470000CDFF32410620190000012019-11-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 성당동 ***-** 이화빌라<NA><NA>제윤 크리에이티브 스튜디오 (JCS)2021-01-05 10:35:39I2021-01-07 00:23:04<NA>340513.936057261086.107396음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6364음반.음악영상물제작업03_14_03_P3470000CDFF32410620140000012014-01-29<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 이곡동 ****-*<NA><NA>샵노래영상제작실2021-01-05 10:35:39I2021-01-07 00:23:04<NA>335829.274637262497.696703음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6465음반.음악영상물제작업03_14_03_P3470000CDFF32410620230000012020-09-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 진천동 ***대구광역시 달서구 진천로*길 **, *층 (진천동)42774팀팍(TEAMPARK)2023-06-07 09:25:39I2023-06-08 00:19:51<NA>337817.591098257746.559821음반.음악영상물제작업유통관련업0<NA>음원제작 및 유통, 미디어컨텐츠 제작0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
6566음반.음악영상물제작업03_14_03_P3470000CDFF32410620070000012007-06-29<NA>1영업/정상13영업중<NA><NA><NA><NA>0536343390<NA><NA>대구광역시 달서구 상인동 *** 월촌보성화성타운상가<NA><NA>스왜거루 엔터테인먼트2021-01-05 10:35:39I2021-01-07 00:23:04<NA>339817.103024258768.418757음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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6768음반.음악영상물제작업03_14_03_P3480000CDFF32410620220000012022-08-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 다사읍 매곡리 ****-*대구광역시 달성군 다사읍 대실역북로*길 ***, ***호42910해성(Jak G)2022-09-20 22:00:29U2022-09-22 02:40:00<NA>332044.517721263784.403791음반.음악영상물제작업유통관련업0<NA><NA>0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>