Overview

Dataset statistics

Number of variables59
Number of observations56
Missing cells1627
Missing cells (%)49.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.4 KiB
Average record size in memory519.4 B

Variable types

Numeric7
Categorical19
Text6
Unsupported26
DateTime1

Dataset

Description6270000_대구광역시_03_14_03_P_음반.음악영상물제작업_12월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000091956&dataSetDetailId=DDI_0000092002&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 (77.9%)Imbalance
데이터갱신구분 is highly imbalanced (56.6%)Imbalance
총층수 is highly imbalanced (77.9%)Imbalance
시설면적 is highly imbalanced (76.1%)Imbalance
지상층수 is highly imbalanced (77.8%)Imbalance
지하층수 is highly imbalanced (77.8%)Imbalance
통로너비 is highly imbalanced (56.6%)Imbalance
조명시설조도 is highly imbalanced (56.6%)Imbalance
노래방실수 is highly imbalanced (56.6%)Imbalance
청소년실수 is highly imbalanced (56.6%)Imbalance
총게임기수 is highly imbalanced (56.6%)Imbalance
인허가취소일자 has 56 (100.0%) missing valuesMissing
휴업시작일자 has 56 (100.0%) missing valuesMissing
휴업종료일자 has 56 (100.0%) missing valuesMissing
재개업일자 has 56 (100.0%) missing valuesMissing
소재지전화 has 18 (32.1%) missing valuesMissing
소재지면적 has 56 (100.0%) missing valuesMissing
소재지우편번호 has 56 (100.0%) missing valuesMissing
도로명전체주소 has 49 (87.5%) missing valuesMissing
도로명우편번호 has 49 (87.5%) missing valuesMissing
업태구분명 has 56 (100.0%) missing valuesMissing
좌표정보(X) has 2 (3.6%) missing valuesMissing
좌표정보(Y) has 2 (3.6%) missing valuesMissing
주변환경명 has 56 (100.0%) missing valuesMissing
제작취급품목내용 has 51 (91.1%) missing valuesMissing
건물용도명 has 56 (100.0%) missing valuesMissing
비상계단여부 has 56 (100.0%) missing valuesMissing
비상구여부 has 56 (100.0%) missing valuesMissing
자동환기여부 has 56 (100.0%) missing valuesMissing
청소년실여부 has 56 (100.0%) missing valuesMissing
특수조명여부 has 56 (100.0%) missing valuesMissing
방음시설여부 has 56 (100.0%) missing valuesMissing
비디오재생기명 has 56 (100.0%) missing valuesMissing
조명시설유무 has 56 (100.0%) missing valuesMissing
음향시설여부 has 56 (100.0%) missing valuesMissing
편의시설여부 has 56 (100.0%) missing valuesMissing
소방시설여부 has 56 (100.0%) missing valuesMissing
기존게임업외업종명 has 56 (100.0%) missing valuesMissing
제공게임물명 has 56 (100.0%) missing valuesMissing
공연장형태구분명 has 56 (100.0%) missing valuesMissing
품목명 has 56 (100.0%) missing valuesMissing
최초등록시점 has 56 (100.0%) missing valuesMissing
지역구분명 has 56 (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 18:28:37.519203
Analysis finished2023-12-10 18:28:38.579950
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.5
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-11T03:28:38.731581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.75
Q114.75
median28.5
Q342.25
95-th percentile53.25
Maximum56
Range55
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation16.309506
Coefficient of variation (CV)0.57226338
Kurtosis-1.2
Mean28.5
Median Absolute Deviation (MAD)14
Skewness0
Sum1596
Variance266
MonotonicityStrictly increasing
2023-12-11T03:28:38.988280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
30 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (46) 46
82.1%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
음반.음악영상물제작업
56 

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 56
100.0%

Length

2023-12-11T03:28:39.207748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:28:39.367032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 56
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
03_14_03_P
56 

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 56
100.0%

Length

2023-12-11T03:28:39.541021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:28:39.735189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_14_03_p 56
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3437321.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-11T03:28:39.883423image/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 deviation19678.421
Coefficient of variation (CV)0.005724929
Kurtosis-1.0457656
Mean3437321.4
Median Absolute Deviation (MAD)20000
Skewness0.18117815
Sum1.9249 × 108
Variance3.8724026 × 108
MonotonicityIncreasing
2023-12-11T03:28:40.122159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3440000 16
28.6%
3420000 11
19.6%
3460000 11
19.6%
3410000 9
16.1%
3430000 3
 
5.4%
3470000 3
 
5.4%
3450000 2
 
3.6%
3480000 1
 
1.8%
ValueCountFrequency (%)
3410000 9
16.1%
3420000 11
19.6%
3430000 3
 
5.4%
3440000 16
28.6%
3450000 2
 
3.6%
3460000 11
19.6%
3470000 3
 
5.4%
3480000 1
 
1.8%
ValueCountFrequency (%)
3480000 1
 
1.8%
3470000 3
 
5.4%
3460000 11
19.6%
3450000 2
 
3.6%
3440000 16
28.6%
3430000 3
 
5.4%
3420000 11
19.6%
3410000 9
16.1%

관리번호
Text

Distinct30
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-11T03:28:40.456156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1120
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 (%)26.8%

Sample

1st rowCDFF3241062007000001
2nd rowCDFF3241062021000001
3rd rowCDFF3241062006000001
4th rowCDFF3241062006000003
5th rowCDFF3241062006000004
ValueCountFrequency (%)
cdff3241062006000001 4
 
7.1%
cdff3241062021000001 4
 
7.1%
cdff3241062015000001 3
 
5.4%
cdff3241062006000003 3
 
5.4%
cdff3241062006000004 3
 
5.4%
cdff3241062019000001 3
 
5.4%
cdff3241062009000001 3
 
5.4%
cdff3241062006000002 3
 
5.4%
cdff3241062008000001 3
 
5.4%
cdff3241062007000001 2
 
3.6%
Other values (20) 25
44.6%
2023-12-11T03:28:41.155414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 425
37.9%
2 132
 
11.8%
F 112
 
10.0%
1 111
 
9.9%
6 74
 
6.6%
3 63
 
5.6%
4 60
 
5.4%
C 56
 
5.0%
D 56
 
5.0%
9 10
 
0.9%
Other values (3) 21
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 896
80.0%
Uppercase Letter 224
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 425
47.4%
2 132
 
14.7%
1 111
 
12.4%
6 74
 
8.3%
3 63
 
7.0%
4 60
 
6.7%
9 10
 
1.1%
7 8
 
0.9%
5 7
 
0.8%
8 6
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 112
50.0%
C 56
25.0%
D 56
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 896
80.0%
Latin 224
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 425
47.4%
2 132
 
14.7%
1 111
 
12.4%
6 74
 
8.3%
3 63
 
7.0%
4 60
 
6.7%
9 10
 
1.1%
7 8
 
0.9%
5 7
 
0.8%
8 6
 
0.7%
Latin
ValueCountFrequency (%)
F 112
50.0%
C 56
25.0%
D 56
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1120
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 425
37.9%
2 132
 
11.8%
F 112
 
10.0%
1 111
 
9.9%
6 74
 
6.6%
3 63
 
5.6%
4 60
 
5.4%
C 56
 
5.0%
D 56
 
5.0%
9 10
 
0.9%
Other values (3) 21
 
1.9%

인허가일자
Real number (ℝ)

Distinct43
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20117287
Minimum20060715
Maximum20211208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-11T03:28:41.456943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060715
5-th percentile20060717
Q120060718
median20090471
Q320170644
95-th percentile20210528
Maximum20211208
Range150493
Interquartile range (IQR)109926.5

Descriptive statistics

Standard deviation55903.358
Coefficient of variation (CV)0.0027788716
Kurtosis-1.4608195
Mean20117287
Median Absolute Deviation (MAD)29753
Skewness0.43308077
Sum1.1265681 × 109
Variance3.1251855 × 109
MonotonicityNot monotonic
2023-12-11T03:28:41.712209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
20060718 12
 
21.4%
20060715 3
 
5.4%
20070305 1
 
1.8%
20151020 1
 
1.8%
20090128 1
 
1.8%
20101101 1
 
1.8%
20170404 1
 
1.8%
20170718 1
 
1.8%
20170914 1
 
1.8%
20181105 1
 
1.8%
Other values (33) 33
58.9%
ValueCountFrequency (%)
20060715 3
 
5.4%
20060718 12
21.4%
20060719 1
 
1.8%
20060916 1
 
1.8%
20070305 1
 
1.8%
20070529 1
 
1.8%
20070629 1
 
1.8%
20080616 1
 
1.8%
20080820 1
 
1.8%
20081210 1
 
1.8%
ValueCountFrequency (%)
20211208 1
1.8%
20210923 1
1.8%
20210823 1
1.8%
20210429 1
1.8%
20210325 1
1.8%
20200228 1
1.8%
20191120 1
1.8%
20190816 1
1.8%
20190802 1
1.8%
20190213 1
1.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
1
42 
3
12 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 42
75.0%
3 12
 
21.4%
4 2
 
3.6%

Length

2023-12-11T03:28:41.984422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:28:42.187536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
75.0%
3 12
 
21.4%
4 2
 
3.6%

영업상태명
Categorical

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
영업/정상
42 
폐업
12 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.6785714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 42
75.0%
폐업 12
 
21.4%
취소/말소/만료/정지/중지 2
 
3.6%

Length

2023-12-11T03:28:42.428122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:28:42.614617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 42
75.0%
폐업 12
 
21.4%
취소/말소/만료/정지/중지 2
 
3.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
13
42 
3
12 
35
 
2

Length

Max length2
Median length2
Mean length1.7857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 42
75.0%
3 12
 
21.4%
35 2
 
3.6%

Length

2023-12-11T03:28:42.823777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:28:43.007218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 42
75.0%
3 12
 
21.4%
35 2
 
3.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
영업중
42 
폐업
12 
직권말소
 
2

Length

Max length4
Median length3
Mean length2.8214286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 42
75.0%
폐업 12
 
21.4%
직권말소 2
 
3.6%

Length

2023-12-11T03:28:43.240423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:28:43.446169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 42
75.0%
폐업 12
 
21.4%
직권말소 2
 
3.6%

폐업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
52 
20170404
 
1
20210120
 
1
20211001
 
1
20150824
 
1

Length

Max length8
Median length4
Mean length4.2857143
Min length4

Unique

Unique4 ?
Unique (%)7.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 52
92.9%
20170404 1
 
1.8%
20210120 1
 
1.8%
20211001 1
 
1.8%
20150824 1
 
1.8%

Length

2023-12-11T03:28:43.690279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:28:43.922419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 52
92.9%
20170404 1
 
1.8%
20210120 1
 
1.8%
20211001 1
 
1.8%
20150824 1
 
1.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

소재지전화
Text

MISSING 

Distinct38
Distinct (%)100.0%
Missing18
Missing (%)32.1%
Memory size580.0 B
2023-12-11T03:28:44.245548image/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 row0534254097
4th row0534214253
5th row0534229212
ValueCountFrequency (%)
0537559537 1
 
2.6%
0534215848 1
 
2.6%
0536249362 1
 
2.6%
0536514584 1
 
2.6%
0536533377 1
 
2.6%
0532924589 1
 
2.6%
0536533511 1
 
2.6%
0536220406 1
 
2.6%
0532151234 1
 
2.6%
0536343390 1
 
2.6%
Other values (28) 28
73.7%
2023-12-11T03:28:44.913298image/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 

Missing56
Missing (%)100.0%
Memory size636.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

소재지전체주소
Text

Distinct48
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-11T03:28:45.332209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33.5
Mean length22.321429
Min length16

Characters and Unicode

Total characters1250
Distinct characters95
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

Unique44 ?
Unique (%)78.6%

Sample

1st row대구광역시 중구 삼덕동*가 **-*
2nd row대구광역시 중구 수창동 *** 대구역센트럴자이
3rd row대구광역시 중구 대봉동 ***-*
4th row대구광역시 중구 봉산동 **-**
5th row대구광역시 중구 남산동 ****-**
ValueCountFrequency (%)
57
22.5%
대구광역시 56
22.1%
남구 16
 
6.3%
대명동 14
 
5.5%
동구 11
 
4.3%
수성구 11
 
4.3%
중구 9
 
3.6%
층 7
 
2.8%
지산동 3
 
1.2%
달서구 3
 
1.2%
Other values (50) 66
26.1%
2023-12-11T03:28:45.949630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 261
20.9%
252
20.2%
구 116
9.3%
대 79
 
6.3%
동 68
 
5.4%
역 57
 
4.6%
광 56
 
4.5%
시 56
 
4.5%
- 46
 
3.7%
남 21
 
1.7%
Other values (85) 238
19.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 686
54.9%
Other Punctuation 262
 
21.0%
Space Separator 252
 
20.2%
Dash Punctuation 46
 
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 116
16.9%
대 79
11.5%
동 68
 
9.9%
역 57
 
8.3%
광 56
 
8.2%
시 56
 
8.2%
남 21
 
3.1%
성 17
 
2.5%
명 14
 
2.0%
산 13
 
1.9%
Other values (78) 189
27.6%
Other Punctuation
ValueCountFrequency (%)
* 261
99.6%
, 1
 
0.4%
Space Separator
ValueCountFrequency (%)
252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
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 686
54.9%
Common 562
45.0%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 116
16.9%
대 79
11.5%
동 68
 
9.9%
역 57
 
8.3%
광 56
 
8.2%
시 56
 
8.2%
남 21
 
3.1%
성 17
 
2.5%
명 14
 
2.0%
산 13
 
1.9%
Other values (78) 189
27.6%
Common
ValueCountFrequency (%)
* 261
46.4%
252
44.8%
- 46
 
8.2%
( 1
 
0.2%
) 1
 
0.2%
, 1
 
0.2%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 686
54.9%
ASCII 564
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 261
46.3%
252
44.7%
- 46
 
8.2%
B 2
 
0.4%
( 1
 
0.2%
) 1
 
0.2%
, 1
 
0.2%
Hangul
ValueCountFrequency (%)
구 116
16.9%
대 79
11.5%
동 68
 
9.9%
역 57
 
8.3%
광 56
 
8.2%
시 56
 
8.2%
남 21
 
3.1%
성 17
 
2.5%
명 14
 
2.0%
산 13
 
1.9%
Other values (78) 189
27.6%

도로명전체주소
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing49
Missing (%)87.5%
Memory size580.0 B
2023-12-11T03:28:46.262488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length34.142857
Min length24

Characters and Unicode

Total characters239
Distinct characters58
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

Unique7 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 서성로 **, ***동 ***호 (수창동, 대구역센트럴자이)
2nd row대구광역시 중구 명덕로**길 ** (남산동)
3rd row대구광역시 동구 팔공로**길 **-**, *층 (봉무동)
4th row대구광역시 동구 동촌로**길 *, 지하*층 (방촌동)
5th row대구광역시 남구 대덕로 ***, A동 ***호 (봉덕동, 봉덕맨션)
ValueCountFrequency (%)
대구광역시 7
 
14.3%
7
 
14.3%
호 4
 
8.2%
동구 2
 
4.1%
a동 2
 
4.1%
중구 2
 
4.1%
층 2
 
4.1%
남구 2
 
4.1%
봉덕동 1
 
2.0%
봉덕맨션 1
 
2.0%
Other values (19) 19
38.8%
2023-12-11T03:28:46.876413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 43
18.0%
42
17.6%
구 14
 
5.9%
동 12
 
5.0%
대 11
 
4.6%
, 8
 
3.3%
역 8
 
3.3%
시 7
 
2.9%
로 7
 
2.9%
광 7
 
2.9%
Other values (48) 80
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 131
54.8%
Other Punctuation 51
 
21.3%
Space Separator 42
 
17.6%
Close Punctuation 6
 
2.5%
Open Punctuation 6
 
2.5%
Uppercase Letter 2
 
0.8%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 14
 
10.7%
동 12
 
9.2%
대 11
 
8.4%
역 8
 
6.1%
시 7
 
5.3%
로 7
 
5.3%
광 7
 
5.3%
호 4
 
3.1%
남 4
 
3.1%
덕 4
 
3.1%
Other values (41) 53
40.5%
Other Punctuation
ValueCountFrequency (%)
* 43
84.3%
, 8
 
15.7%
Space Separator
ValueCountFrequency (%)
42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 131
54.8%
Common 106
44.4%
Latin 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 14
 
10.7%
동 12
 
9.2%
대 11
 
8.4%
역 8
 
6.1%
시 7
 
5.3%
로 7
 
5.3%
광 7
 
5.3%
호 4
 
3.1%
남 4
 
3.1%
덕 4
 
3.1%
Other values (41) 53
40.5%
Common
ValueCountFrequency (%)
* 43
40.6%
42
39.6%
, 8
 
7.5%
) 6
 
5.7%
( 6
 
5.7%
- 1
 
0.9%
Latin
ValueCountFrequency (%)
A 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 131
54.8%
ASCII 108
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 43
39.8%
42
38.9%
, 8
 
7.4%
) 6
 
5.6%
( 6
 
5.6%
A 2
 
1.9%
- 1
 
0.9%
Hangul
ValueCountFrequency (%)
구 14
 
10.7%
동 12
 
9.2%
대 11
 
8.4%
역 8
 
6.1%
시 7
 
5.3%
로 7
 
5.3%
광 7
 
5.3%
호 4
 
3.1%
남 4
 
3.1%
덕 4
 
3.1%
Other values (41) 53
40.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing49
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean41994.143
Minimum41026
Maximum42962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-11T03:28:47.158171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41066.8
Q141538.5
median41969
Q342462.5
95-th percentile42826.4
Maximum42962
Range1936
Interquartile range (IQR)924

Descriptive statistics

Standard deviation709.06451
Coefficient of variation (CV)0.016884843
Kurtosis-1.0841824
Mean41994.143
Median Absolute Deviation (MAD)541
Skewness-0.23937267
Sum293959
Variance502772.48
MonotonicityNot monotonic
2023-12-11T03:28:47.405571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
41915 1
 
1.8%
41969 1
 
1.8%
41026 1
 
1.8%
41162 1
 
1.8%
42510 1
 
1.8%
42415 1
 
1.8%
42962 1
 
1.8%
(Missing) 49
87.5%
ValueCountFrequency (%)
41026 1
1.8%
41162 1
1.8%
41915 1
1.8%
41969 1
1.8%
42415 1
1.8%
42510 1
1.8%
42962 1
1.8%
ValueCountFrequency (%)
42962 1
1.8%
42510 1
1.8%
42415 1
1.8%
41969 1
1.8%
41915 1
1.8%
41162 1
1.8%
41026 1
1.8%

사업장명
Text

Distinct55
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-11T03:28:47.907556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length7.375
Min length4

Characters and Unicode

Total characters413
Distinct characters148
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

Unique54 ?
Unique (%)96.4%

Sample

1st rowR.J엔터테인먼트
2nd row바비사운즈
3rd row두리음반
4th row삼영불교음반
5th row가락기획
ValueCountFrequency (%)
스튜디오 3
 
4.0%
주식회사 3
 
4.0%
목화노래뮤비방 2
 
2.7%
m 2
 
2.7%
까치노래뮤비방 1
 
1.3%
주)아트판타지아 1
 
1.3%
e.d.c 1
 
1.3%
korea 1
 
1.3%
tcn 1
 
1.3%
컬쳐팩토리아지트 1
 
1.3%
Other values (59) 59
78.7%
2023-12-11T03:28:48.725797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
4.6%
) 14
 
3.4%
( 14
 
3.4%
주 13
 
3.1%
디 13
 
3.1%
스 11
 
2.7%
뮤 10
 
2.4%
노 9
 
2.2%
래 9
 
2.2%
트 8
 
1.9%
Other values (138) 293
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 321
77.7%
Uppercase Letter 35
 
8.5%
Space Separator 19
 
4.6%
Close Punctuation 14
 
3.4%
Open Punctuation 14
 
3.4%
Lowercase Letter 7
 
1.7%
Other Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 13
 
4.0%
디 13
 
4.0%
스 11
 
3.4%
뮤 10
 
3.1%
노 9
 
2.8%
래 9
 
2.8%
트 8
 
2.5%
미 8
 
2.5%
사 8
 
2.5%
비 8
 
2.5%
Other values (112) 224
69.8%
Uppercase Letter
ValueCountFrequency (%)
S 5
14.3%
C 4
11.4%
M 4
11.4%
D 3
8.6%
A 3
8.6%
J 3
8.6%
B 2
 
5.7%
N 2
 
5.7%
R 2
 
5.7%
E 2
 
5.7%
Other values (5) 5
14.3%
Lowercase Letter
ValueCountFrequency (%)
a 1
14.3%
u 1
14.3%
t 1
14.3%
e 1
14.3%
d 1
14.3%
s 1
14.3%
i 1
14.3%
Space Separator
ValueCountFrequency (%)
19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 321
77.7%
Common 50
 
12.1%
Latin 42
 
10.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 13
 
4.0%
디 13
 
4.0%
스 11
 
3.4%
뮤 10
 
3.1%
노 9
 
2.8%
래 9
 
2.8%
트 8
 
2.5%
미 8
 
2.5%
사 8
 
2.5%
비 8
 
2.5%
Other values (112) 224
69.8%
Latin
ValueCountFrequency (%)
S 5
11.9%
C 4
 
9.5%
M 4
 
9.5%
D 3
 
7.1%
A 3
 
7.1%
J 3
 
7.1%
B 2
 
4.8%
N 2
 
4.8%
R 2
 
4.8%
E 2
 
4.8%
Other values (12) 12
28.6%
Common
ValueCountFrequency (%)
19
38.0%
) 14
28.0%
( 14
28.0%
. 3
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 321
77.7%
ASCII 92
 
22.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
20.7%
) 14
15.2%
( 14
15.2%
S 5
 
5.4%
C 4
 
4.3%
M 4
 
4.3%
D 3
 
3.3%
A 3
 
3.3%
. 3
 
3.3%
J 3
 
3.3%
Other values (16) 20
21.7%
Hangul
ValueCountFrequency (%)
주 13
 
4.0%
디 13
 
4.0%
스 11
 
3.4%
뮤 10
 
3.1%
노 9
 
2.8%
래 9
 
2.8%
트 8
 
2.5%
미 8
 
2.5%
사 8
 
2.5%
비 8
 
2.5%
Other values (112) 224
69.8%

최종수정시점
Real number (ℝ)

Distinct24
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0210213 × 1013
Minimum2.0210105 × 1013
Maximum2.0211213 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-11T03:28:48.984028image/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 percentile2.0210944 × 1013
Maximum2.0211213 × 1013
Range1.1080314 × 109
Interquartile range (IQR)6526.5

Descriptive statistics

Standard deviation2.8856892 × 108
Coefficient of variation (CV)1.4278371 × 10-5
Kurtosis5.6188289
Mean2.0210213 × 1013
Median Absolute Deviation (MAD)1101.5
Skewness2.6299153
Sum1.1317719 × 1015
Variance8.3272021 × 1016
MonotonicityNot monotonic
2023-12-11T03:28:49.234203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20210105103341 10
17.9%
20210105103941 8
14.3%
20210105110016 6
10.7%
20210105105820 5
 
8.9%
20210105103327 4
 
7.1%
20210105103539 3
 
5.4%
20210105105804 2
 
3.6%
20210105104701 2
 
3.6%
20210105104210 1
 
1.8%
20210823153826 1
 
1.8%
Other values (14) 14
25.0%
ValueCountFrequency (%)
20210105103327 4
 
7.1%
20210105103341 10
17.9%
20210105103539 3
 
5.4%
20210105103927 1
 
1.8%
20210105103941 8
14.3%
20210105104156 1
 
1.8%
20210105104210 1
 
1.8%
20210105104647 1
 
1.8%
20210105104701 2
 
3.6%
20210105105804 2
 
3.6%
ValueCountFrequency (%)
20211213134746 1
1.8%
20211208090903 1
1.8%
20211006102100 1
1.8%
20210923114756 1
1.8%
20210902140601 1
1.8%
20210823153826 1
1.8%
20210429141201 1
1.8%
20210325101645 1
1.8%
20210120143637 1
1.8%
20210120143611 1
1.8%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
I
51 
U
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 51
91.1%
U 5
 
8.9%

Length

2023-12-11T03:28:49.506216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:28:49.794010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 51
91.1%
u 5
 
8.9%

데이터갱신일자
Date

Distinct10
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size580.0 B
Minimum2021-01-07 00:23:04
Maximum2021-12-15 02:40:00
2023-12-11T03:28:49.965145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:28:50.154954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)90.7%
Missing2
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean344658.73
Minimum335406.4
Maximum355671.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-11T03:28:50.411130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum335406.4
5-th percentile339902.15
Q1342774.77
median344020.97
Q3346945.88
95-th percentile349246.28
Maximum355671.83
Range20265.43
Interquartile range (IQR)4171.1129

Descriptive statistics

Standard deviation3606.5859
Coefficient of variation (CV)0.010464223
Kurtosis1.7654355
Mean344658.73
Median Absolute Deviation (MAD)1977.8369
Skewness0.30227106
Sum18611572
Variance13007462
MonotonicityNot monotonic
2023-12-11T03:28:50.682898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
343157.682044 2
 
3.6%
341269.072428 2
 
3.6%
342756.201272 2
 
3.6%
342655.198797 2
 
3.6%
342774.766132 2
 
3.6%
344354.579983 1
 
1.8%
343430.47764 1
 
1.8%
342974.037123 1
 
1.8%
342701.503187 1
 
1.8%
339947.943498 1
 
1.8%
Other values (39) 39
69.6%
(Missing) 2
 
3.6%
ValueCountFrequency (%)
335406.403251 1
1.8%
335829.274637 1
1.8%
339817.103024 1
1.8%
339947.943498 1
1.8%
340513.936057 1
1.8%
340530.295414 1
1.8%
341269.072428 2
3.6%
342655.198797 2
3.6%
342701.503187 1
1.8%
342756.201272 2
3.6%
ValueCountFrequency (%)
355671.833565 1
1.8%
353774.0 1
1.8%
350324.186887 1
1.8%
348665.873375 1
1.8%
348609.345598 1
1.8%
348337.430803 1
1.8%
348263.0 1
1.8%
347966.919075 1
1.8%
347940.948542 1
1.8%
347855.797028 1
1.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)90.7%
Missing2
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean263298.86
Minimum256955.34
Maximum277700.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-11T03:28:50.927362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum256955.34
5-th percentile259236.88
Q1261759.19
median262955.95
Q3264203.57
95-th percentile268110.13
Maximum277700.9
Range20745.563
Interquartile range (IQR)2444.3801

Descriptive statistics

Standard deviation3144.0519
Coefficient of variation (CV)0.011941001
Kurtosis7.8515607
Mean263298.86
Median Absolute Deviation (MAD)1258.4401
Skewness1.9915986
Sum14218138
Variance9885062.3
MonotonicityNot monotonic
2023-12-11T03:28:51.142397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
261957.795169 2
 
3.6%
263400.741871 2
 
3.6%
262448.230076 2
 
3.6%
261979.055557 2
 
3.6%
262912.887933 2
 
3.6%
264184.67514 1
 
1.8%
263253.756373 1
 
1.8%
262935.615063 1
 
1.8%
261692.983589 1
 
1.8%
269932.234133 1
 
1.8%
Other values (39) 39
69.6%
(Missing) 2
 
3.6%
ValueCountFrequency (%)
256955.338083 1
1.8%
258768.418757 1
1.8%
258980.784098 1
1.8%
259374.777677 1
1.8%
259607.799141 1
1.8%
260357.649369 1
1.8%
260995.631002 1
1.8%
261056.730781 1
1.8%
261086.107396 1
1.8%
261228.529425 1
1.8%
ValueCountFrequency (%)
277700.900957 1
1.8%
270330.693461 1
1.8%
269932.234133 1
1.8%
267129.0 1
1.8%
266947.0 1
1.8%
266015.065008 1
1.8%
265832.511938 1
1.8%
265798.742432 1
1.8%
265148.428612 1
1.8%
265015.70761 1
1.8%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
음반.음악영상물제작업
56 

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 56
100.0%

Length

2023-12-11T03:28:51.333974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:28:51.811827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 56
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
유통관련업
56 

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 56
100.0%

Length

2023-12-11T03:28:51.959872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:28:52.093312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 56
100.0%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
0
53 
<NA>
 
2
2
 
1

Length

Max length4
Median length1
Mean length1.1071429
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 53
94.6%
<NA> 2
 
3.6%
2 1
 
1.8%

Length

2023-12-11T03:28:52.251799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:28:52.388754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 53
94.6%
na 2
 
3.6%
2 1
 
1.8%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

제작취급품목내용
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing51
Missing (%)91.1%
Memory size580.0 B
2023-12-11T03:28:52.582178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length12
Min length7

Characters and Unicode

Total characters60
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

Unique5 ?
Unique (%)100.0%

Sample

1st row음반음악영상물제작업
2nd row음악영상물,음악영상파일
3rd row음반음악 및 음악영상 제작
4th row전자출판 및 영상제작, 인쇄출판
5th row음반음악제작업
ValueCountFrequency (%)
및 2
18.2%
음반음악영상물제작업 1
9.1%
음악영상물,음악영상파일 1
9.1%
음반음악 1
9.1%
음악영상 1
9.1%
제작 1
9.1%
전자출판 1
9.1%
영상제작 1
9.1%
인쇄출판 1
9.1%
음반음악제작업 1
9.1%
2023-12-11T03:28:52.986055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 9
15.0%
악 6
10.0%
6
10.0%
영 5
 
8.3%
상 5
 
8.3%
제 4
 
6.7%
작 4
 
6.7%
반 3
 
5.0%
출 2
 
3.3%
물 2
 
3.3%
Other values (10) 14
23.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52
86.7%
Space Separator 6
 
10.0%
Other Punctuation 2
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 9
17.3%
악 6
11.5%
영 5
9.6%
상 5
9.6%
제 4
 
7.7%
작 4
 
7.7%
반 3
 
5.8%
출 2
 
3.8%
물 2
 
3.8%
업 2
 
3.8%
Other values (8) 10
19.2%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52
86.7%
Common 8
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 9
17.3%
악 6
11.5%
영 5
9.6%
상 5
9.6%
제 4
 
7.7%
작 4
 
7.7%
반 3
 
5.8%
출 2
 
3.8%
물 2
 
3.8%
업 2
 
3.8%
Other values (8) 10
19.2%
Common
ValueCountFrequency (%)
6
75.0%
, 2
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52
86.7%
ASCII 8
 
13.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 9
17.3%
악 6
11.5%
영 5
9.6%
상 5
9.6%
제 4
 
7.7%
작 4
 
7.7%
반 3
 
5.8%
출 2
 
3.8%
물 2
 
3.8%
업 2
 
3.8%
Other values (8) 10
19.2%
ASCII
ValueCountFrequency (%)
6
75.0%
, 2
 
25.0%

시설면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
0.0
52 
<NA>
 
2
370.3
 
1
81.6
 
1

Length

Max length5
Median length3
Mean length3.0892857
Min length3

Unique

Unique2 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 52
92.9%
<NA> 2
 
3.6%
370.3 1
 
1.8%
81.6 1
 
1.8%

Length

2023-12-11T03:28:53.186294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:28:53.356968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 52
92.9%
na 2
 
3.6%
370.3 1
 
1.8%
81.6 1
 
1.8%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
0
54 
<NA>
 
2

Length

Max length4
Median length1
Mean length1.1071429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 54
96.4%
<NA> 2
 
3.6%

Length

2023-12-11T03:28:53.538589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:28:53.696190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 54
96.4%
na 2
 
3.6%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
0
54 
<NA>
 
2

Length

Max length4
Median length1
Mean length1.1071429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 54
96.4%
<NA> 2
 
3.6%

Length

2023-12-11T03:28:53.862824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:28:54.030077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 54
96.4%
na 2
 
3.6%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
51 
0
 
5

Length

Max length4
Median length4
Mean length3.7321429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
91.1%
0 5
 
8.9%

Length

2023-12-11T03:28:54.205834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:28:54.372373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
91.1%
0 5
 
8.9%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
51 
0
 
5

Length

Max length4
Median length4
Mean length3.7321429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
91.1%
0 5
 
8.9%

Length

2023-12-11T03:28:54.513708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:28:54.662807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
91.1%
0 5
 
8.9%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
51 
0
 
5

Length

Max length4
Median length4
Mean length3.7321429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
91.1%
0 5
 
8.9%

Length

2023-12-11T03:28:54.844218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:28:54.991622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
91.1%
0 5
 
8.9%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
51 
0
 
5

Length

Max length4
Median length4
Mean length3.7321429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
91.1%
0 5
 
8.9%

Length

2023-12-11T03:28:55.145570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:28:55.290047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
91.1%
0 5
 
8.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
51 
0
 
5

Length

Max length4
Median length4
Mean length3.7321429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
91.1%
0 5
 
8.9%

Length

2023-12-11T03:28:55.432935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:28:55.576563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
91.1%
0 5
 
8.9%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 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_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>
23음반.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>
34음반.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>
45음반.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>
56음반.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>
67음반.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>
78음반.음악영상물제작업03_14_03_P3410000CDFF324106201900000120190802<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동*가 **-*<NA><NA>삼덕놀이터20210105110016I2021-01-07 00:23:04.0<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>
89음반.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>
910음반.음악영상물제작업03_14_03_P3420000CDFF324106200600000220060916<NA>3폐업3폐업<NA><NA><NA><NA>0539842838<NA><NA>대구광역시 동구 송정동 ***-**<NA><NA>(사)건강사회를 위한 시민모임20210105103941I2021-01-07 00:23:04.0<NA>345944.770173277700.900957음반.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
4647음반.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>
4748음반.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>
4849음반.음악영상물제작업03_14_03_P3460000CDFF324106201000000120100329<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 두산동 *** *층<NA><NA>에스투 기획20210105105804I2021-01-07 00:23:04.0<NA>346566.772411259607.799141음반.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_P3460000CDFF324106200600000120060715<NA>1영업/정상13영업중<NA><NA><NA><NA>0537933217<NA><NA>대구광역시 수성구 만촌동 *** 만촌보성타운 상가 ***<NA><NA>마더미디어20210105105820I2021-01-07 00:23:04.0<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>
5051음반.음악영상물제작업03_14_03_P3460000CDFF324106200600000220060718<NA>1영업/정상13영업중<NA><NA><NA><NA>0537422180<NA><NA>대구광역시 수성구 중동 ***-*<NA><NA>서울뮤직뱅크20210105105804I2021-01-07 00:23:04.0<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>
5152음반.음악영상물제작업03_14_03_P3460000CDFF324106200600000420060718<NA>1영업/정상13영업중<NA><NA><NA><NA>0536549781<NA><NA>대구광역시 수성구 만촌동 산 *** 대구산업정보대 창업보육센터*층<NA><NA>필름코리아20210105105820I2021-01-07 00:23:04.0<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>
5253음반.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>
5354음반.음악영상물제작업03_14_03_P3470000CDFF324106200700000120070629<NA>1영업/정상13영업중<NA><NA><NA><NA>0536343390<NA><NA>대구광역시 달서구 상인동 *** 월촌보성화성타운상가<NA><NA>스왜거루 엔터테인먼트20210105103539I2021-01-07 00:23:04.0<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>
5455음반.음악영상물제작업03_14_03_P3470000CDFF324106201900000120191120<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 성당동 ***-** 이화빌라<NA><NA>제윤 크리에이티브 스튜디오 (JCS)20210105103539I2021-01-07 00:23:04.0<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>
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