Overview

Dataset statistics

Number of variables59
Number of observations58
Missing cells1682
Missing cells (%)49.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.4 KiB
Average record size in memory519.3 B

Variable types

Numeric7
Categorical20
Text6
Unsupported26

Dataset

Description22년06월_6270000_대구광역시_03_14_03_P_음반.음악영상물제작업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093758&dataSetDetailId=DDI_0000093842&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
폐업일자 is highly imbalanced (75.9%)Imbalance
데이터갱신일자 is highly imbalanced (55.8%)Imbalance
총층수 is highly imbalanced (78.5%)Imbalance
시설면적 is highly imbalanced (76.7%)Imbalance
지상층수 is highly imbalanced (78.4%)Imbalance
지하층수 is highly imbalanced (78.4%)Imbalance
인허가취소일자 has 58 (100.0%) missing valuesMissing
휴업시작일자 has 58 (100.0%) missing valuesMissing
휴업종료일자 has 58 (100.0%) missing valuesMissing
재개업일자 has 58 (100.0%) missing valuesMissing
소재지전화 has 20 (34.5%) missing valuesMissing
소재지면적 has 58 (100.0%) missing valuesMissing
소재지우편번호 has 58 (100.0%) missing valuesMissing
도로명전체주소 has 49 (84.5%) missing valuesMissing
도로명우편번호 has 49 (84.5%) missing valuesMissing
업태구분명 has 58 (100.0%) missing valuesMissing
좌표정보(X) has 2 (3.4%) missing valuesMissing
좌표정보(Y) has 2 (3.4%) missing valuesMissing
주변환경명 has 58 (100.0%) missing valuesMissing
제작취급품목내용 has 52 (89.7%) missing valuesMissing
건물용도명 has 58 (100.0%) missing valuesMissing
비상계단여부 has 58 (100.0%) missing valuesMissing
비상구여부 has 58 (100.0%) missing valuesMissing
자동환기여부 has 58 (100.0%) missing valuesMissing
청소년실여부 has 58 (100.0%) missing valuesMissing
특수조명여부 has 58 (100.0%) missing valuesMissing
방음시설여부 has 58 (100.0%) missing valuesMissing
비디오재생기명 has 58 (100.0%) missing valuesMissing
조명시설유무 has 58 (100.0%) missing valuesMissing
음향시설여부 has 58 (100.0%) missing valuesMissing
편의시설여부 has 58 (100.0%) missing valuesMissing
소방시설여부 has 58 (100.0%) missing valuesMissing
기존게임업외업종명 has 58 (100.0%) missing valuesMissing
제공게임물명 has 58 (100.0%) missing valuesMissing
공연장형태구분명 has 58 (100.0%) missing valuesMissing
품목명 has 58 (100.0%) missing valuesMissing
최초등록시점 has 58 (100.0%) missing valuesMissing
지역구분명 has 58 (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

Reproduction

Analysis started2023-12-10 18:15:54.778373
Analysis finished2023-12-10 18:15:55.581550
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.5
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-11T03:15:56.017359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.85
Q115.25
median29.5
Q343.75
95-th percentile55.15
Maximum58
Range57
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation16.886879
Coefficient of variation (CV)0.57243656
Kurtosis-1.2
Mean29.5
Median Absolute Deviation (MAD)14.5
Skewness0
Sum1711
Variance285.16667
MonotonicityStrictly increasing
2023-12-11T03:15:56.187364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
45 1
 
1.7%
33 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%
50 1
1.7%
49 1
1.7%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
음반.음악영상물제작업
58 

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 58
100.0%

Length

2023-12-11T03:15:56.398545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:56.563489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 58
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
03_14_03_P
58 

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 58
100.0%

Length

2023-12-11T03:15:56.739559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:56.889779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_14_03_p 58
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3437413.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-11T03:15:56.985279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3440000
Q33457500
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)37500

Descriptive statistics

Standard deviation19426.907
Coefficient of variation (CV)0.0056516056
Kurtosis-1.0137717
Mean3437413.8
Median Absolute Deviation (MAD)20000
Skewness0.17077294
Sum1.9937 × 108
Variance3.7740472 × 108
MonotonicityIncreasing
2023-12-11T03:15:57.147623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3440000 16
27.6%
3420000 11
19.0%
3460000 11
19.0%
3410000 9
15.5%
3430000 4
 
6.9%
3450000 3
 
5.2%
3470000 3
 
5.2%
3480000 1
 
1.7%
ValueCountFrequency (%)
3410000 9
15.5%
3420000 11
19.0%
3430000 4
 
6.9%
3440000 16
27.6%
3450000 3
 
5.2%
3460000 11
19.0%
3470000 3
 
5.2%
3480000 1
 
1.7%
ValueCountFrequency (%)
3480000 1
 
1.7%
3470000 3
 
5.2%
3460000 11
19.0%
3450000 3
 
5.2%
3440000 16
27.6%
3430000 4
 
6.9%
3420000 11
19.0%
3410000 9
15.5%

관리번호
Text

Distinct31
Distinct (%)53.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-11T03:15:57.390975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1160
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

Unique15 ?
Unique (%)25.9%

Sample

1st rowCDFF3241062007000001
2nd rowCDFF3241062019000001
3rd rowCDFF3241062021000001
4th rowCDFF3241062006000001
5th rowCDFF3241062020000001
ValueCountFrequency (%)
cdff3241062021000001 4
 
6.9%
cdff3241062006000001 4
 
6.9%
cdff3241062006000002 3
 
5.2%
cdff3241062006000004 3
 
5.2%
cdff3241062006000003 3
 
5.2%
cdff3241062019000001 3
 
5.2%
cdff3241062009000001 3
 
5.2%
cdff3241062008000001 3
 
5.2%
cdff3241062015000001 3
 
5.2%
cdff3241062020000001 2
 
3.4%
Other values (21) 27
46.6%
2023-12-11T03:15:57.812281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 440
37.9%
2 139
 
12.0%
F 116
 
10.0%
1 115
 
9.9%
6 76
 
6.6%
3 65
 
5.6%
4 62
 
5.3%
C 58
 
5.0%
D 58
 
5.0%
9 10
 
0.9%
Other values (3) 21
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 928
80.0%
Uppercase Letter 232
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 440
47.4%
2 139
 
15.0%
1 115
 
12.4%
6 76
 
8.2%
3 65
 
7.0%
4 62
 
6.7%
9 10
 
1.1%
7 8
 
0.9%
5 7
 
0.8%
8 6
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 116
50.0%
C 58
25.0%
D 58
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 928
80.0%
Latin 232
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 440
47.4%
2 139
 
15.0%
1 115
 
12.4%
6 76
 
8.2%
3 65
 
7.0%
4 62
 
6.7%
9 10
 
1.1%
7 8
 
0.9%
5 7
 
0.8%
8 6
 
0.6%
Latin
ValueCountFrequency (%)
F 116
50.0%
C 58
25.0%
D 58
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 440
37.9%
2 139
 
12.0%
F 116
 
10.0%
1 115
 
9.9%
6 76
 
6.6%
3 65
 
5.6%
4 62
 
5.3%
C 58
 
5.0%
D 58
 
5.0%
9 10
 
0.9%
Other values (3) 21
 
1.8%

인허가일자
Real number (ℝ)

Distinct45
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20120502
Minimum20060715
Maximum20220316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-11T03:15:58.004778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060715
5-th percentile20060718
Q120060718
median20090815
Q320170865
95-th percentile20210838
Maximum20220316
Range159601
Interquartile range (IQR)110146.75

Descriptive statistics

Standard deviation57561.867
Coefficient of variation (CV)0.0028608564
Kurtosis-1.5252204
Mean20120502
Median Absolute Deviation (MAD)30098.5
Skewness0.3681131
Sum1.1669891 × 109
Variance3.3133686 × 109
MonotonicityNot monotonic
2023-12-11T03:15:58.168311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
20060718 12
 
20.7%
20060715 3
 
5.2%
20070305 1
 
1.7%
20100329 1
 
1.7%
20151014 1
 
1.7%
20211208 1
 
1.7%
20210923 1
 
1.7%
20091112 1
 
1.7%
20090128 1
 
1.7%
20180830 1
 
1.7%
Other values (35) 35
60.3%
ValueCountFrequency (%)
20060715 3
 
5.2%
20060718 12
20.7%
20060719 1
 
1.7%
20060916 1
 
1.7%
20070305 1
 
1.7%
20070529 1
 
1.7%
20070629 1
 
1.7%
20080616 1
 
1.7%
20080820 1
 
1.7%
20081210 1
 
1.7%
ValueCountFrequency (%)
20220316 1
1.7%
20211208 1
1.7%
20210923 1
1.7%
20210823 1
1.7%
20210429 1
1.7%
20210325 1
1.7%
20200722 1
1.7%
20200228 1
1.7%
20191120 1
1.7%
20190816 1
1.7%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
1
43 
3
13 
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 43
74.1%
3 13
 
22.4%
4 2
 
3.4%

Length

2023-12-11T03:15:58.333725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:58.460896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 43
74.1%
3 13
 
22.4%
4 2
 
3.4%

영업상태명
Categorical

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
영업/정상
43 
폐업
13 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.637931
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 43
74.1%
폐업 13
 
22.4%
취소/말소/만료/정지/중지 2
 
3.4%

Length

2023-12-11T03:15:58.620210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:58.768190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 43
74.1%
폐업 13
 
22.4%
취소/말소/만료/정지/중지 2
 
3.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
13
43 
3
13 
35
 
2

Length

Max length2
Median length2
Mean length1.7758621
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 43
74.1%
3 13
 
22.4%
35 2
 
3.4%

Length

2023-12-11T03:15:58.916786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:59.049338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 43
74.1%
3 13
 
22.4%
35 2
 
3.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
영업중
43 
폐업
13 
직권말소
 
2

Length

Max length4
Median length3
Mean length2.8103448
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 43
74.1%
폐업 13
 
22.4%
직권말소 2
 
3.4%

Length

2023-12-11T03:15:59.185116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:59.344660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 43
74.1%
폐업 13
 
22.4%
직권말소 2
 
3.4%

폐업일자
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
53 
20220401
 
1
20170404
 
1
20210120
 
1
20211001
 
1

Length

Max length8
Median length4
Mean length4.3448276
Min length4

Unique

Unique5 ?
Unique (%)8.6%

Sample

1st row<NA>
2nd row20220401
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 53
91.4%
20220401 1
 
1.7%
20170404 1
 
1.7%
20210120 1
 
1.7%
20211001 1
 
1.7%
20150824 1
 
1.7%

Length

2023-12-11T03:15:59.503845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:15:59.676972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
91.4%
20220401 1
 
1.7%
20170404 1
 
1.7%
20210120 1
 
1.7%
20211001 1
 
1.7%
20150824 1
 
1.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

소재지전화
Text

MISSING 

Distinct38
Distinct (%)100.0%
Missing20
Missing (%)34.5%
Memory size596.0 B
2023-12-11T03:15:59.967313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.078947
Min length8

Characters and Unicode

Total characters383
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 row0532567104
3rd row0534214253
4th row0534229212
5th row07043514797
ValueCountFrequency (%)
0537522202 1
 
2.6%
0534215848 1
 
2.6%
0532471600 1
 
2.6%
0536242238 1
 
2.6%
053-655-4881 1
 
2.6%
0536249362 1
 
2.6%
0536514584 1
 
2.6%
0536533377 1
 
2.6%
0532924589 1
 
2.6%
0536343390 1
 
2.6%
Other values (28) 28
73.7%
2023-12-11T03:16:00.515925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 68
17.8%
3 61
15.9%
0 55
14.4%
2 41
10.7%
4 35
9.1%
6 32
8.4%
7 25
 
6.5%
1 22
 
5.7%
8 21
 
5.5%
9 19
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 379
99.0%
Dash Punctuation 4
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 68
17.9%
3 61
16.1%
0 55
14.5%
2 41
10.8%
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 (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 383
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 68
17.8%
3 61
15.9%
0 55
14.4%
2 41
10.7%
4 35
9.1%
6 32
8.4%
7 25
 
6.5%
1 22
 
5.7%
8 21
 
5.5%
9 19
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 383
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 68
17.8%
3 61
15.9%
0 55
14.4%
2 41
10.7%
4 35
9.1%
6 32
8.4%
7 25
 
6.5%
1 22
 
5.7%
8 21
 
5.5%
9 19
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

소재지전체주소
Text

Distinct50
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-11T03:16:00.875045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33.5
Mean length22.310345
Min length16

Characters and Unicode

Total characters1294
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

Unique46 ?
Unique (%)79.3%

Sample

1st row대구광역시 중구 삼덕동*가 **-*
2nd row대구광역시 중구 삼덕동*가 **-*
3rd row대구광역시 중구 수창동 *** 대구역센트럴자이
4th row대구광역시 중구 대봉동 ***-*
5th row대구광역시 중구 남산동 ****-*
ValueCountFrequency (%)
59
22.5%
대구광역시 58
22.1%
남구 16
 
6.1%
대명동 14
 
5.3%
동구 11
 
4.2%
수성구 11
 
4.2%
중구 9
 
3.4%
층 8
 
3.1%
서구 4
 
1.5%
두산동 3
 
1.1%
Other values (52) 69
26.3%
2023-12-11T03:16:01.479498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 273
21.1%
261
20.2%
구 120
9.3%
대 81
 
6.3%
동 70
 
5.4%
역 59
 
4.6%
광 58
 
4.5%
시 58
 
4.5%
- 48
 
3.7%
남 21
 
1.6%
Other values (87) 245
18.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 707
54.6%
Other Punctuation 274
 
21.2%
Space Separator 261
 
20.2%
Dash Punctuation 48
 
3.7%
Uppercase Letter 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 120
17.0%
대 81
11.5%
동 70
 
9.9%
역 59
 
8.3%
광 58
 
8.2%
시 58
 
8.2%
남 21
 
3.0%
성 17
 
2.4%
명 14
 
2.0%
산 14
 
2.0%
Other values (80) 195
27.6%
Other Punctuation
ValueCountFrequency (%)
* 273
99.6%
, 1
 
0.4%
Space Separator
ValueCountFrequency (%)
261
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
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 707
54.6%
Common 585
45.2%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 120
17.0%
대 81
11.5%
동 70
 
9.9%
역 59
 
8.3%
광 58
 
8.2%
시 58
 
8.2%
남 21
 
3.0%
성 17
 
2.4%
명 14
 
2.0%
산 14
 
2.0%
Other values (80) 195
27.6%
Common
ValueCountFrequency (%)
* 273
46.7%
261
44.6%
- 48
 
8.2%
( 1
 
0.2%
) 1
 
0.2%
, 1
 
0.2%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 707
54.6%
ASCII 587
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 273
46.5%
261
44.5%
- 48
 
8.2%
B 2
 
0.3%
( 1
 
0.2%
) 1
 
0.2%
, 1
 
0.2%
Hangul
ValueCountFrequency (%)
구 120
17.0%
대 81
11.5%
동 70
 
9.9%
역 59
 
8.3%
광 58
 
8.2%
시 58
 
8.2%
남 21
 
3.0%
성 17
 
2.4%
명 14
 
2.0%
산 14
 
2.0%
Other values (80) 195
27.6%

도로명전체주소
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing49
Missing (%)84.5%
Memory size596.0 B
2023-12-11T03:16:01.765579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length32.666667
Min length24

Characters and Unicode

Total characters294
Distinct characters64
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

Unique9 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 서성로 **, ***동 ***호 (수창동, 대구역센트럴자이)
2nd row대구광역시 중구 명덕로**길 ** (남산동)
3rd row대구광역시 동구 동촌로**길 *, 지하*층 (방촌동)
4th row대구광역시 동구 팔공로**길 **-**, *층 (봉무동)
5th row대구광역시 서구 달서로**길 *-** (비산동)
ValueCountFrequency (%)
대구광역시 9
 
15.0%
9
 
15.0%
호 4
 
6.7%
층 3
 
5.0%
남구 2
 
3.3%
a동 2
 
3.3%
중구 2
 
3.3%
동구 2
 
3.3%
북구 1
 
1.7%
대명동 1
 
1.7%
Other values (25) 25
41.7%
2023-12-11T03:16:02.342154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 52
17.7%
51
17.3%
구 18
 
6.1%
대 14
 
4.8%
동 14
 
4.8%
역 10
 
3.4%
광 9
 
3.1%
시 9
 
3.1%
로 9
 
3.1%
, 9
 
3.1%
Other values (54) 99
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 162
55.1%
Other Punctuation 61
 
20.7%
Space Separator 51
 
17.3%
Close Punctuation 8
 
2.7%
Open Punctuation 8
 
2.7%
Dash Punctuation 2
 
0.7%
Uppercase Letter 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 18
 
11.1%
대 14
 
8.6%
동 14
 
8.6%
역 10
 
6.2%
광 9
 
5.6%
시 9
 
5.6%
로 9
 
5.6%
길 4
 
2.5%
덕 4
 
2.5%
층 4
 
2.5%
Other values (47) 67
41.4%
Other Punctuation
ValueCountFrequency (%)
* 52
85.2%
, 9
 
14.8%
Space Separator
ValueCountFrequency (%)
51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 162
55.1%
Common 130
44.2%
Latin 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 18
 
11.1%
대 14
 
8.6%
동 14
 
8.6%
역 10
 
6.2%
광 9
 
5.6%
시 9
 
5.6%
로 9
 
5.6%
길 4
 
2.5%
덕 4
 
2.5%
층 4
 
2.5%
Other values (47) 67
41.4%
Common
ValueCountFrequency (%)
* 52
40.0%
51
39.2%
, 9
 
6.9%
) 8
 
6.2%
( 8
 
6.2%
- 2
 
1.5%
Latin
ValueCountFrequency (%)
A 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 162
55.1%
ASCII 132
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 52
39.4%
51
38.6%
, 9
 
6.8%
) 8
 
6.1%
( 8
 
6.1%
- 2
 
1.5%
A 2
 
1.5%
Hangul
ValueCountFrequency (%)
구 18
 
11.1%
대 14
 
8.6%
동 14
 
8.6%
역 10
 
6.2%
광 9
 
5.6%
시 9
 
5.6%
로 9
 
5.6%
길 4
 
2.5%
덕 4
 
2.5%
층 4
 
2.5%
Other values (47) 67
41.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing49
Missing (%)84.5%
Infinite0
Infinite (%)0.0%
Mean41911.556
Minimum41026
Maximum42962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-11T03:16:02.569621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41080.4
Q141447
median41915
Q342415
95-th percentile42781.2
Maximum42962
Range1936
Interquartile range (IQR)968

Descriptive statistics

Standard deviation641.58848
Coefficient of variation (CV)0.015308152
Kurtosis-0.79733287
Mean41911.556
Median Absolute Deviation (MAD)500
Skewness0.17276528
Sum377204
Variance411635.78
MonotonicityNot monotonic
2023-12-11T03:16:02.769954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
41915 1
 
1.7%
41969 1
 
1.7%
41162 1
 
1.7%
41026 1
 
1.7%
41798 1
 
1.7%
42510 1
 
1.7%
42415 1
 
1.7%
41447 1
 
1.7%
42962 1
 
1.7%
(Missing) 49
84.5%
ValueCountFrequency (%)
41026 1
1.7%
41162 1
1.7%
41447 1
1.7%
41798 1
1.7%
41915 1
1.7%
41969 1
1.7%
42415 1
1.7%
42510 1
1.7%
42962 1
1.7%
ValueCountFrequency (%)
42962 1
1.7%
42510 1
1.7%
42415 1
1.7%
41969 1
1.7%
41915 1
1.7%
41798 1
1.7%
41447 1
1.7%
41162 1
1.7%
41026 1
1.7%

사업장명
Text

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-11T03:16:03.174037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13.5
Mean length7.4137931
Min length4

Characters and Unicode

Total characters430
Distinct characters150
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

Unique56 ?
Unique (%)96.6%

Sample

1st rowR.J엔터테인먼트
2nd row삼덕놀이터
3rd row바비사운즈
4th row두리음반
5th row스튜디오 소리샘
ValueCountFrequency (%)
스튜디오 3
 
3.8%
주식회사 3
 
3.8%
목화노래뮤비방 2
 
2.6%
m 2
 
2.6%
싸운드 1
 
1.3%
데이타프로텍 1
 
1.3%
주 1
 
1.3%
주)아트판타지아 1
 
1.3%
까치노래뮤비방 1
 
1.3%
주)디지엔터테인먼트 1
 
1.3%
Other values (62) 62
79.5%
2023-12-11T03:16:03.814924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
4.7%
( 15
 
3.5%
) 15
 
3.5%
주 14
 
3.3%
디 13
 
3.0%
뮤 11
 
2.6%
스 11
 
2.6%
노 10
 
2.3%
래 10
 
2.3%
비 9
 
2.1%
Other values (140) 302
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 335
77.9%
Uppercase Letter 35
 
8.1%
Space Separator 20
 
4.7%
Open Punctuation 15
 
3.5%
Close Punctuation 15
 
3.5%
Lowercase Letter 7
 
1.6%
Other Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 14
 
4.2%
디 13
 
3.9%
뮤 11
 
3.3%
스 11
 
3.3%
노 10
 
3.0%
래 10
 
3.0%
비 9
 
2.7%
트 8
 
2.4%
방 8
 
2.4%
미 8
 
2.4%
Other values (114) 233
69.6%
Uppercase Letter
ValueCountFrequency (%)
S 5
14.3%
C 4
11.4%
M 4
11.4%
J 3
8.6%
D 3
8.6%
A 3
8.6%
R 2
 
5.7%
E 2
 
5.7%
N 2
 
5.7%
B 2
 
5.7%
Other values (5) 5
14.3%
Lowercase Letter
ValueCountFrequency (%)
t 1
14.3%
s 1
14.3%
u 1
14.3%
e 1
14.3%
d 1
14.3%
a 1
14.3%
i 1
14.3%
Space Separator
ValueCountFrequency (%)
20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 335
77.9%
Common 53
 
12.3%
Latin 42
 
9.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 14
 
4.2%
디 13
 
3.9%
뮤 11
 
3.3%
스 11
 
3.3%
노 10
 
3.0%
래 10
 
3.0%
비 9
 
2.7%
트 8
 
2.4%
방 8
 
2.4%
미 8
 
2.4%
Other values (114) 233
69.6%
Latin
ValueCountFrequency (%)
S 5
11.9%
C 4
 
9.5%
M 4
 
9.5%
J 3
 
7.1%
D 3
 
7.1%
A 3
 
7.1%
R 2
 
4.8%
E 2
 
4.8%
N 2
 
4.8%
B 2
 
4.8%
Other values (12) 12
28.6%
Common
ValueCountFrequency (%)
20
37.7%
( 15
28.3%
) 15
28.3%
. 3
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 335
77.9%
ASCII 95
 
22.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
21.1%
( 15
15.8%
) 15
15.8%
S 5
 
5.3%
C 4
 
4.2%
M 4
 
4.2%
. 3
 
3.2%
J 3
 
3.2%
D 3
 
3.2%
A 3
 
3.2%
Other values (16) 20
21.1%
Hangul
ValueCountFrequency (%)
주 14
 
4.2%
디 13
 
3.9%
뮤 11
 
3.3%
스 11
 
3.3%
노 10
 
3.0%
래 10
 
3.0%
비 9
 
2.7%
트 8
 
2.4%
방 8
 
2.4%
미 8
 
2.4%
Other values (114) 233
69.6%

최종수정시점
Real number (ℝ)

Distinct27
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0210735 × 1013
Minimum2.0210105 × 1013
Maximum2.0220401 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-11T03:16:04.044176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0210105 × 1013
5-th percentile2.0210105 × 1013
Q12.0210105 × 1013
median2.0210105 × 1013
Q32.0210105 × 1013
95-th percentile2.0212549 × 1013
Maximum2.0220401 × 1013
Range1.0296072 × 1010
Interquartile range (IQR)6477

Descriptive statistics

Standard deviation2.2661049 × 109
Coefficient of variation (CV)0.00011212382
Kurtosis15.247198
Mean2.0210735 × 1013
Median Absolute Deviation (MAD)1333
Skewness4.0546033
Sum1.1722226 × 1015
Variance5.1352312 × 1018
MonotonicityNot monotonic
2023-12-11T03:16:04.268253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
20210105103341 10
17.2%
20210105103941 8
13.8%
20210105110016 5
 
8.6%
20210105105820 5
 
8.6%
20210105103327 4
 
6.9%
20210105103539 3
 
5.2%
20210105105804 2
 
3.4%
20210105104701 2
 
3.4%
20210105104210 1
 
1.7%
20210823153826 1
 
1.7%
Other values (17) 17
29.3%
ValueCountFrequency (%)
20210105103327 4
 
6.9%
20210105103341 10
17.2%
20210105103539 3
 
5.2%
20210105103927 1
 
1.7%
20210105103941 8
13.8%
20210105104156 1
 
1.7%
20210105104210 1
 
1.7%
20210105104647 1
 
1.7%
20210105104701 2
 
3.4%
20210105105804 2
 
3.4%
ValueCountFrequency (%)
20220401175001 1
1.7%
20220316131145 1
1.7%
20220117145747 1
1.7%
20211213134746 1
1.7%
20211208090903 1
1.7%
20211006102100 1
1.7%
20210923114756 1
1.7%
20210902140601 1
1.7%
20210823153826 1
1.7%
20210429141201 1
1.7%

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
I
51 
U
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 51
87.9%
U 7
 
12.1%

Length

2023-12-11T03:16:04.498029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:04.681481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 51
87.9%
u 7
 
12.1%

데이터갱신일자
Categorical

IMBALANCE 

Distinct13
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
2021-01-07 00:23:04.0
44 
2021-01-22 02:40:00.0
 
3
2022-04-03 02:40:00.0
 
1
2021-03-27 00:23:11.0
 
1
2021-12-15 02:40:00.0
 
1
Other values (8)
8 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique11 ?
Unique (%)19.0%

Sample

1st row2021-01-07 00:23:04.0
2nd row2022-04-03 02:40:00.0
3rd row2021-03-27 00:23:11.0
4th row2021-01-07 00:23:04.0
5th row2021-12-15 02:40:00.0

Common Values

ValueCountFrequency (%)
2021-01-07 00:23:04.0 44
75.9%
2021-01-22 02:40:00.0 3
 
5.2%
2022-04-03 02:40:00.0 1
 
1.7%
2021-03-27 00:23:11.0 1
 
1.7%
2021-12-15 02:40:00.0 1
 
1.7%
2021-05-01 00:23:12.0 1
 
1.7%
2021-09-03 00:22:50.0 1
 
1.7%
2022-01-19 02:40:00.0 1
 
1.7%
2021-12-10 00:22:42.0 1
 
1.7%
2021-09-25 00:22:48.0 1
 
1.7%
Other values (3) 3
 
5.2%

Length

2023-12-11T03:16:04.872151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-01-07 44
37.9%
00:23:04.0 44
37.9%
02:40:00.0 7
 
6.0%
2021-01-22 3
 
2.6%
00:22:50.0 2
 
1.7%
2021-12-10 1
 
0.9%
2021-10-08 1
 
0.9%
00:22:36.0 1
 
0.9%
2022-03-18 1
 
0.9%
00:22:48.0 1
 
0.9%
Other values (11) 11
 
9.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)91.1%
Missing2
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean344519.76
Minimum335406.4
Maximum355671.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-11T03:16:05.083877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum335406.4
5-th percentile339776.08
Q1342756.2
median343959.66
Q3346801.4
95-th percentile349080.45
Maximum355671.83
Range20265.43
Interquartile range (IQR)4045.1975

Descriptive statistics

Standard deviation3620.8534
Coefficient of variation (CV)0.010509857
Kurtosis1.6272995
Mean344519.76
Median Absolute Deviation (MAD)2085.4552
Skewness0.34859982
Sum19293107
Variance13110580
MonotonicityNot monotonic
2023-12-11T03:16:05.355901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342756.201272 2
 
3.4%
341269.072428 2
 
3.4%
342655.198797 2
 
3.4%
342774.766132 2
 
3.4%
343157.682044 2
 
3.4%
343908.47526 1
 
1.7%
347553.467249 1
 
1.7%
342824.149951 1
 
1.7%
343536.849105 1
 
1.7%
343129.1964 1
 
1.7%
Other values (41) 41
70.7%
(Missing) 2
 
3.4%
ValueCountFrequency (%)
335406.403251 1
1.7%
335829.274637 1
1.7%
339653.006211 1
1.7%
339817.103024 1
1.7%
339947.943498 1
1.7%
340513.936057 1
1.7%
340530.295414 1
1.7%
341269.072428 2
3.4%
341881.927255 1
1.7%
342655.198797 2
3.4%
ValueCountFrequency (%)
355671.833565 1
1.7%
353774.0 1
1.7%
350324.186887 1
1.7%
348665.873375 1
1.7%
348609.345598 1
1.7%
348337.430803 1
1.7%
348263.0 1
1.7%
347966.919075 1
1.7%
347940.948542 1
1.7%
347855.797028 1
1.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)91.1%
Missing2
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean263476.72
Minimum256955.34
Maximum277700.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-11T03:16:05.600028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum256955.34
5-th percentile259276.28
Q1261891.59
median262984.6
Q3264370.17
95-th percentile270031.85
Maximum277700.9
Range20745.563
Interquartile range (IQR)2478.5765

Descriptive statistics

Standard deviation3282.5264
Coefficient of variation (CV)0.012458506
Kurtosis6.0908115
Mean263476.72
Median Absolute Deviation (MAD)1307.3633
Skewness1.8133678
Sum14754696
Variance10774979
MonotonicityNot monotonic
2023-12-11T03:16:05.823137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262448.230076 2
 
3.4%
263400.741871 2
 
3.4%
261979.055557 2
 
3.4%
262912.887933 2
 
3.4%
261957.795169 2
 
3.4%
264557.544338 1
 
1.7%
263148.697802 1
 
1.7%
262473.857416 1
 
1.7%
262992.919757 1
 
1.7%
266015.065008 1
 
1.7%
Other values (41) 41
70.7%
(Missing) 2
 
3.4%
ValueCountFrequency (%)
256955.338083 1
1.7%
258768.418757 1
1.7%
258980.784098 1
1.7%
259374.777677 1
1.7%
259607.799141 1
1.7%
260357.649369 1
1.7%
260995.631002 1
1.7%
261056.730781 1
1.7%
261086.107396 1
1.7%
261228.529425 1
1.7%
ValueCountFrequency (%)
277700.900957 1
1.7%
271510.394705 1
1.7%
270330.693461 1
1.7%
269932.234133 1
1.7%
267129.0 1
1.7%
266947.0 1
1.7%
266015.065008 1
1.7%
265832.511938 1
1.7%
265798.742432 1
1.7%
265148.428612 1
1.7%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
음반.음악영상물제작업
58 

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 58
100.0%

Length

2023-12-11T03:16:06.028435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:06.184011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 58
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
유통관련업
58 

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 58
100.0%

Length

2023-12-11T03:16:06.332951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:06.477503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 58
100.0%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
0
55 
<NA>
 
2
2
 
1

Length

Max length4
Median length1
Mean length1.1034483
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 55
94.8%
<NA> 2
 
3.4%
2 1
 
1.7%

Length

2023-12-11T03:16:06.637942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:06.795696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
94.8%
na 2
 
3.4%
2 1
 
1.7%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

제작취급품목내용
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing52
Missing (%)89.7%
Memory size596.0 B
2023-12-11T03:16:06.995752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length12.5
Min length7

Characters and Unicode

Total characters75
Distinct characters20
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

Unique6 ?
Unique (%)100.0%

Sample

1st row음반음악영상물제작업
2nd row음악영상물,음악영상파일
3rd row음반음악 및 음악영상 제작
4th row전자출판 및 영상제작, 인쇄출판
5th row음반, 음악파일, 음악영상물
ValueCountFrequency (%)
및 2
14.3%
음반음악영상물제작업 1
 
7.1%
음악영상물,음악영상파일 1
 
7.1%
음반음악 1
 
7.1%
음악영상 1
 
7.1%
제작 1
 
7.1%
전자출판 1
 
7.1%
영상제작 1
 
7.1%
인쇄출판 1
 
7.1%
음반 1
 
7.1%
Other values (3) 3
21.4%
2023-12-11T03:16:07.422853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 12
16.0%
악 8
10.7%
8
10.7%
영 6
 
8.0%
상 6
 
8.0%
제 4
 
5.3%
작 4
 
5.3%
, 4
 
5.3%
반 4
 
5.3%
물 3
 
4.0%
Other values (10) 16
21.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63
84.0%
Space Separator 8
 
10.7%
Other Punctuation 4
 
5.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 12
19.0%
악 8
12.7%
영 6
9.5%
상 6
9.5%
제 4
 
6.3%
작 4
 
6.3%
반 4
 
6.3%
물 3
 
4.8%
및 2
 
3.2%
판 2
 
3.2%
Other values (8) 12
19.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63
84.0%
Common 12
 
16.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 12
19.0%
악 8
12.7%
영 6
9.5%
상 6
9.5%
제 4
 
6.3%
작 4
 
6.3%
반 4
 
6.3%
물 3
 
4.8%
및 2
 
3.2%
판 2
 
3.2%
Other values (8) 12
19.0%
Common
ValueCountFrequency (%)
8
66.7%
, 4
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63
84.0%
ASCII 12
 
16.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 12
19.0%
악 8
12.7%
영 6
9.5%
상 6
9.5%
제 4
 
6.3%
작 4
 
6.3%
반 4
 
6.3%
물 3
 
4.8%
및 2
 
3.2%
판 2
 
3.2%
Other values (8) 12
19.0%
ASCII
ValueCountFrequency (%)
8
66.7%
, 4
33.3%

시설면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
0.0
54 
<NA>
 
2
370.3
 
1
81.6
 
1

Length

Max length5
Median length3
Mean length3.0862069
Min length3

Unique

Unique2 ?
Unique (%)3.4%

Sample

1st row0.0
2nd row0.0
3rd row<NA>
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 54
93.1%
<NA> 2
 
3.4%
370.3 1
 
1.7%
81.6 1
 
1.7%

Length

2023-12-11T03:16:07.688674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:07.882159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 54
93.1%
na 2
 
3.4%
370.3 1
 
1.7%
81.6 1
 
1.7%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
0
56 
<NA>
 
2

Length

Max length4
Median length1
Mean length1.1034483
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 56
96.6%
<NA> 2
 
3.4%

Length

2023-12-11T03:16:08.072989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:08.252860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 56
96.6%
na 2
 
3.4%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
0
56 
<NA>
 
2

Length

Max length4
Median length1
Mean length1.1034483
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 56
96.6%
<NA> 2
 
3.4%

Length

2023-12-11T03:16:08.434376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:08.625162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 56
96.6%
na 2
 
3.4%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

통로너비
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
51 
0
7 

Length

Max length4
Median length4
Mean length3.637931
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
87.9%
0 7
 
12.1%

Length

2023-12-11T03:16:09.232634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:09.419205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
87.9%
0 7
 
12.1%

조명시설조도
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
51 
0
7 

Length

Max length4
Median length4
Mean length3.637931
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
87.9%
0 7
 
12.1%

Length

2023-12-11T03:16:09.620535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:09.806649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
87.9%
0 7
 
12.1%

노래방실수
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
51 
0
7 

Length

Max length4
Median length4
Mean length3.637931
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
87.9%
0 7
 
12.1%

Length

2023-12-11T03:16:09.996491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:10.175119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
87.9%
0 7
 
12.1%

청소년실수
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
51 
0
7 

Length

Max length4
Median length4
Mean length3.637931
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
87.9%
0 7
 
12.1%

Length

2023-12-11T03:16:10.374580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:10.547185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
87.9%
0 7
 
12.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

총게임기수
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
51 
0
7 

Length

Max length4
Median length4
Mean length3.637931
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
87.9%
0 7
 
12.1%

Length

2023-12-11T03:16:10.734596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:16:10.928635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
87.9%
0 7
 
12.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01음반.음악영상물제작업03_14_03_P3410000CDFF324106200700000120070305<NA>3폐업3폐업<NA><NA><NA><NA>0534215848<NA><NA>대구광역시 중구 삼덕동*가 **-*<NA><NA>R.J엔터테인먼트20210105110016I2021-01-07 00:23:04.0<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_P3410000CDFF324106201900000120190802<NA>3폐업3폐업20220401<NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동*가 **-*<NA><NA>삼덕놀이터20220401175001U2022-04-03 02:40:00.0<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_P3410000CDFF324106202100000120210325<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 수창동 *** 대구역센트럴자이대구광역시 중구 서성로 **, ***동 ***호 (수창동, 대구역센트럴자이)41915바비사운즈20210325101645I2021-03-27 00:23:11.0<NA><NA><NA>음반.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>
34음반.음악영상물제작업03_14_03_P3410000CDFF324106200600000120060719<NA>1영업/정상13영업중<NA><NA><NA><NA>0532567104<NA><NA>대구광역시 중구 대봉동 ***-*<NA><NA>두리음반20210105110016I2021-01-07 00:23:04.0<NA>344010.849417263014.492917음반.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>
45음반.음악영상물제작업03_14_03_P3410000CDFF324106202000000120200228<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 ****-*대구광역시 중구 명덕로**길 ** (남산동)41969스튜디오 소리샘20211213134746U2021-12-15 02:40:00.0<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>
56음반.음악영상물제작업03_14_03_P3410000CDFF324106200600000420060718<NA>1영업/정상13영업중<NA><NA><NA><NA>0534214253<NA><NA>대구광역시 중구 남산동 ****-**<NA><NA>가락기획20210105110016I2021-01-07 00:23:04.0<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>
67음반.음악영상물제작업03_14_03_P3410000CDFF324106200700000220070529<NA>1영업/정상13영업중<NA><NA><NA><NA>0534229212<NA><NA>대구광역시 중구 봉산동 ***-*<NA><NA>우주음반20210105110016I2021-01-07 00:23:04.0<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>
78음반.음악영상물제작업03_14_03_P3410000CDFF324106201300000120130204<NA>1영업/정상13영업중<NA><NA><NA><NA>07043514797<NA><NA>대구광역시 중구 남일동 **-*<NA><NA>(주)펀팩토리20210105110004I2021-01-07 00:23:04.0<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>
89음반.음악영상물제작업03_14_03_P3410000CDFF324106200600000320060718<NA>1영업/정상13영업중<NA><NA><NA><NA>0534254097<NA><NA>대구광역시 중구 봉산동 **-**<NA><NA>삼영불교음반20210105110016I2021-01-07 00:23:04.0<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>
910음반.음악영상물제작업03_14_03_P3420000CDFF324106201900000220190816<NA>1영업/정상13영업중<NA><NA><NA><NA>0532896516<NA><NA>대구광역시 동구 입석동 ***-**<NA><NA>반사(BANSA)20210105103941I2021-01-07 00:23:04.0<NA>348263.0267129.0음반.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
4849음반.음악영상물제작업03_14_03_P3460000CDFF324106201500000220151020<NA>3폐업3폐업20210120<NA><NA><NA><NA><NA><NA>대구광역시 수성구 지산동 ****-*<NA><NA>블루노트20210120143310U2021-01-22 02:40:00.0<NA>347966.919075259374.777677음반.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>
4950음반.음악영상물제작업03_14_03_P3460000CDFF324106201500000320151224<NA>3폐업3폐업20211001<NA><NA><NA><NA><NA><NA>대구광역시 수성구 두산동 **-*<NA><NA>홍당무노래뮤비방20211006102100U2021-10-08 02:40:00.0<NA>346052.83764260995.631002음반.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>
5051음반.음악영상물제작업03_14_03_P3460000CDFF324106200900000220090121<NA>1영업/정상13영업중<NA><NA><NA><NA>0537664334<NA><NA>대구광역시 수성구 황금동 *** *층<NA><NA>모나미이벤트20210105105820I2021-01-07 00:23:04.0<NA>346729.158622261408.674358음반.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>
5152음반.음악영상물제작업03_14_03_P3460000CDFF324106200900000120090107<NA>1영업/정상13영업중<NA><NA><NA><NA>0537660908<NA><NA>대구광역시 수성구 두산동 ***-* (주)대구방송빌딩, *층<NA><NA>채널나인20210105105820I2021-01-07 00:23:04.0<NA>346572.515153260357.649369음반.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>
5253음반.음악영상물제작업03_14_03_P3460000CDFF324106200800000120080616<NA>1영업/정상13영업중<NA><NA><NA><NA>0537848222<NA><NA>대구광역시 수성구 지산동 ****-** *층<NA><NA>(주)프레임미디어20210105105820I2021-01-07 00:23:04.0<NA>347855.797028258980.784098음반.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>
5354음반.음악영상물제작업03_14_03_P3460000CDFF324106200600000320060718<NA>3폐업3폐업20150824<NA><NA><NA>0537674300<NA><NA>대구광역시 수성구 지산동 ***-*<NA><NA>이화상사20210120143637U2021-01-22 02:40:00.0<NA>347018.119112261056.730781음반.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>
5455음반.음악영상물제작업03_14_03_P3470000CDFF324106201400000120140129<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 이곡동 ****-*<NA><NA>샵노래영상제작실20210105103539I2021-01-07 00:23:04.0<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>
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