Overview

Dataset statistics

Number of variables59
Number of observations24
Missing cells653
Missing cells (%)46.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.3 KiB
Average record size in memory524.5 B

Variable types

Numeric9
Categorical18
Text5
Unsupported26
DateTime1

Dataset

Description22년02월_6270000_대구광역시_03_13_01_P_영화배급업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092521&dataSetDetailId=DDI_0000092519&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
소재지우편번호 is highly imbalanced (68.6%)Imbalance
총층수 is highly imbalanced (58.6%)Imbalance
시설면적 is highly imbalanced (58.6%)Imbalance
지상층수 is highly imbalanced (58.6%)Imbalance
지하층수 is highly imbalanced (58.6%)Imbalance
통로너비 is highly imbalanced (58.6%)Imbalance
조명시설조도 is highly imbalanced (58.6%)Imbalance
노래방실수 is highly imbalanced (58.6%)Imbalance
청소년실수 is highly imbalanced (58.6%)Imbalance
총게임기수 is highly imbalanced (58.6%)Imbalance
인허가취소일자 has 24 (100.0%) missing valuesMissing
폐업일자 has 17 (70.8%) missing valuesMissing
휴업시작일자 has 24 (100.0%) missing valuesMissing
휴업종료일자 has 24 (100.0%) missing valuesMissing
재개업일자 has 24 (100.0%) missing valuesMissing
소재지전화 has 10 (41.7%) missing valuesMissing
소재지면적 has 24 (100.0%) missing valuesMissing
도로명우편번호 has 2 (8.3%) missing valuesMissing
업태구분명 has 24 (100.0%) missing valuesMissing
문화사업자구분명 has 24 (100.0%) missing valuesMissing
주변환경명 has 24 (100.0%) missing valuesMissing
제작취급품목내용 has 24 (100.0%) missing valuesMissing
건물용도명 has 24 (100.0%) missing valuesMissing
비상계단여부 has 24 (100.0%) missing valuesMissing
비상구여부 has 24 (100.0%) missing valuesMissing
자동환기여부 has 24 (100.0%) missing valuesMissing
청소년실여부 has 24 (100.0%) missing valuesMissing
특수조명여부 has 24 (100.0%) missing valuesMissing
방음시설여부 has 24 (100.0%) missing valuesMissing
비디오재생기명 has 24 (100.0%) missing valuesMissing
조명시설유무 has 24 (100.0%) missing valuesMissing
음향시설여부 has 24 (100.0%) missing valuesMissing
편의시설여부 has 24 (100.0%) missing valuesMissing
소방시설여부 has 24 (100.0%) missing valuesMissing
기존게임업외업종명 has 24 (100.0%) missing valuesMissing
제공게임물명 has 24 (100.0%) missing valuesMissing
공연장형태구분명 has 24 (100.0%) missing valuesMissing
품목명 has 24 (100.0%) missing valuesMissing
지역구분명 has 24 (100.0%) missing valuesMissing
번호 has unique valuesUnique
인허가일자 has unique valuesUnique
도로명전체주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 has unique valuesUnique
최초등록시점 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 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
제작취급품목내용 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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-18 00:20:17.479764
Analysis finished2024-04-18 00:20:17.968810
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-18T09:20:18.020101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2024-04-18T09:20:18.138591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
영화배급업
24 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화배급업 24
100.0%

Length

2024-04-18T09:20:18.261250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:20:18.348983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 24
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
03_13_01_P
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_13_01_P
2nd row03_13_01_P
3rd row03_13_01_P
4th row03_13_01_P
5th row03_13_01_P

Common Values

ValueCountFrequency (%)
03_13_01_P 24
100.0%

Length

2024-04-18T09:20:18.436515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:20:18.517724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_13_01_p 24
100.0%

개방자치단체코드
Real number (ℝ)

Distinct6
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3436250
Minimum3410000
Maximum3470000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-18T09:20:18.590635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3445000
Q33450000
95-th percentile3468500
Maximum3470000
Range60000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation22421.36
Coefficient of variation (CV)0.0065249502
Kurtosis-1.6309396
Mean3436250
Median Absolute Deviation (MAD)15000
Skewness-0.11637727
Sum82470000
Variance5.0271739 × 108
MonotonicityIncreasing
2024-04-18T09:20:18.689415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3410000 9
37.5%
3450000 7
29.2%
3460000 3
 
12.5%
3440000 2
 
8.3%
3470000 2
 
8.3%
3430000 1
 
4.2%
ValueCountFrequency (%)
3410000 9
37.5%
3430000 1
 
4.2%
3440000 2
 
8.3%
3450000 7
29.2%
3460000 3
 
12.5%
3470000 2
 
8.3%
ValueCountFrequency (%)
3470000 2
 
8.3%
3460000 3
 
12.5%
3450000 7
29.2%
3440000 2
 
8.3%
3430000 1
 
4.2%
3410000 9
37.5%

관리번호
Text

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-18T09:20:18.866156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters480
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

Unique8 ?
Unique (%)33.3%

Sample

1st rowCDFF5211032009000001
2nd rowCDFF5211032014000002
3rd rowCDFF5211032019000001
4th rowCDFF5211032000000001
5th rowCDFF5211032001000001
ValueCountFrequency (%)
cdff5211032009000001 2
 
8.3%
cdff5211032014000002 2
 
8.3%
cdff5211032019000001 2
 
8.3%
cdff5211032000000001 2
 
8.3%
cdff5211032014000001 2
 
8.3%
cdff5211032020000001 2
 
8.3%
cdff5211032021000001 2
 
8.3%
cdff5211032012000001 2
 
8.3%
cdff5211032001000001 1
 
4.2%
cdff5211032002000001 1
 
4.2%
Other values (6) 6
25.0%
2024-04-18T09:20:19.161485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 179
37.3%
1 86
17.9%
2 58
 
12.1%
F 48
 
10.0%
5 25
 
5.2%
C 24
 
5.0%
D 24
 
5.0%
3 24
 
5.0%
9 4
 
0.8%
4 4
 
0.8%
Other values (3) 4
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 384
80.0%
Uppercase Letter 96
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 179
46.6%
1 86
22.4%
2 58
 
15.1%
5 25
 
6.5%
3 24
 
6.2%
9 4
 
1.0%
4 4
 
1.0%
6 2
 
0.5%
8 1
 
0.3%
7 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 48
50.0%
C 24
25.0%
D 24
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
80.0%
Latin 96
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 179
46.6%
1 86
22.4%
2 58
 
15.1%
5 25
 
6.5%
3 24
 
6.2%
9 4
 
1.0%
4 4
 
1.0%
6 2
 
0.5%
8 1
 
0.3%
7 1
 
0.3%
Latin
ValueCountFrequency (%)
F 48
50.0%
C 24
25.0%
D 24
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 179
37.3%
1 86
17.9%
2 58
 
12.1%
F 48
 
10.0%
5 25
 
5.2%
C 24
 
5.0%
D 24
 
5.0%
3 24
 
5.0%
9 4
 
0.8%
4 4
 
0.8%
Other values (3) 4
 
0.8%

인허가일자
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20118450
Minimum19990820
Maximum20211110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-18T09:20:19.289747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990820
5-th percentile20000358
Q120085391
median20140320
Q320165540
95-th percentile20209208
Maximum20211110
Range220290
Interquartile range (IQR)80148.25

Descriptive statistics

Standard deviation70294.106
Coefficient of variation (CV)0.003494012
Kurtosis-0.76634698
Mean20118450
Median Absolute Deviation (MAD)49645.5
Skewness-0.59881936
Sum4.828428 × 108
Variance4.9412613 × 109
MonotonicityNot monotonic
2024-04-18T09:20:19.408048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20090819 1
 
4.2%
20190220 1
 
4.2%
20150423 1
 
4.2%
20000529 1
 
4.2%
19990820 1
 
4.2%
20210813 1
 
4.2%
20110620 1
 
4.2%
20160523 1
 
4.2%
20140519 1
 
4.2%
20140410 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
19990820 1
4.2%
20000328 1
4.2%
20000529 1
4.2%
20010202 1
4.2%
20021001 1
4.2%
20070911 1
4.2%
20090218 1
4.2%
20090819 1
4.2%
20110620 1
4.2%
20120620 1
4.2%
ValueCountFrequency (%)
20211110 1
4.2%
20210813 1
4.2%
20200113 1
4.2%
20190220 1
4.2%
20190110 1
4.2%
20180313 1
4.2%
20160615 1
4.2%
20160523 1
4.2%
20150423 1
4.2%
20140519 1
4.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
17 
3
7 

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 17
70.8%
3 7
29.2%

Length

2024-04-18T09:20:19.524170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:20:19.617908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
70.8%
3 7
29.2%

영업상태명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업/정상
17 
폐업
7 

Length

Max length5
Median length5
Mean length4.125
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 17
70.8%
폐업 7
29.2%

Length

2024-04-18T09:20:19.723193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:20:19.827005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 17
70.8%
폐업 7
29.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
13
17 
3
7 

Length

Max length2
Median length2
Mean length1.7083333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 17
70.8%
3 7
29.2%

Length

2024-04-18T09:20:19.926354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:20:20.016324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 17
70.8%
3 7
29.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업중
17 
폐업
7 

Length

Max length3
Median length3
Mean length2.7083333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 17
70.8%
폐업 7
29.2%

Length

2024-04-18T09:20:20.122251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:20:20.218161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 17
70.8%
폐업 7
29.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing17
Missing (%)70.8%
Infinite0
Infinite (%)0.0%
Mean20147675
Minimum20100202
Maximum20191212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-18T09:20:20.304777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100202
5-th percentile20103299
Q120125327
median20140617
Q320175520
95-th percentile20190971
Maximum20191212
Range91010
Interquartile range (IQR)50192.5

Descriptive statistics

Standard deviation35660.582
Coefficient of variation (CV)0.0017699602
Kurtosis-1.3757221
Mean20147675
Median Absolute Deviation (MAD)30092
Skewness0.019033418
Sum1.4103372 × 108
Variance1.2716771 × 109
MonotonicityNot monotonic
2024-04-18T09:20:20.403930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20100202 1
 
4.2%
20140617 1
 
4.2%
20160630 1
 
4.2%
20191212 1
 
4.2%
20190409 1
 
4.2%
20140129 1
 
4.2%
20110525 1
 
4.2%
(Missing) 17
70.8%
ValueCountFrequency (%)
20100202 1
4.2%
20110525 1
4.2%
20140129 1
4.2%
20140617 1
4.2%
20160630 1
4.2%
20190409 1
4.2%
20191212 1
4.2%
ValueCountFrequency (%)
20191212 1
4.2%
20190409 1
4.2%
20160630 1
4.2%
20140617 1
4.2%
20140129 1
4.2%
20110525 1
4.2%
20100202 1
4.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소재지전화
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing10
Missing (%)41.7%
Memory size324.0 B
2024-04-18T09:20:20.562742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.642857
Min length8

Characters and Unicode

Total characters163
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

Unique14 ?
Unique (%)100.0%

Sample

1st row02-3393-8896
2nd row053-425-3553
3rd row053-256-0528
4th row053-428-1950
5th row053-424-7055
ValueCountFrequency (%)
02-3393-8896 1
 
7.1%
053-425-3553 1
 
7.1%
053-256-0528 1
 
7.1%
053-428-1950 1
 
7.1%
053-424-7055 1
 
7.1%
0532547108 1
 
7.1%
053-424-0030 1
 
7.1%
053-629-4424 1
 
7.1%
053-722-7007 1
 
7.1%
053-601-0601 1
 
7.1%
Other values (4) 4
28.6%
2024-04-18T09:20:20.851619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33
20.2%
- 25
15.3%
3 21
12.9%
5 21
12.9%
2 19
11.7%
4 11
 
6.7%
6 8
 
4.9%
1 7
 
4.3%
7 7
 
4.3%
9 6
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 138
84.7%
Dash Punctuation 25
 
15.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33
23.9%
3 21
15.2%
5 21
15.2%
2 19
13.8%
4 11
 
8.0%
6 8
 
5.8%
1 7
 
5.1%
7 7
 
5.1%
9 6
 
4.3%
8 5
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 163
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 33
20.2%
- 25
15.3%
3 21
12.9%
5 21
12.9%
2 19
11.7%
4 11
 
6.7%
6 8
 
4.9%
1 7
 
4.3%
7 7
 
4.3%
9 6
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 163
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33
20.2%
- 25
15.3%
3 21
12.9%
5 21
12.9%
2 19
11.7%
4 11
 
6.7%
6 8
 
4.9%
1 7
 
4.3%
7 7
 
4.3%
9 6
 
3.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
22 
700010
 
1
703805
 
1

Length

Max length6
Median length4
Mean length4.1666667
Min length4

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
91.7%
700010 1
 
4.2%
703805 1
 
4.2%

Length

2024-04-18T09:20:20.988740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:20:21.088787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
91.7%
700010 1
 
4.2%
703805 1
 
4.2%

소재지전체주소
Text

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-18T09:20:21.242861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length25.791667
Min length18

Characters and Unicode

Total characters619
Distinct characters66
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)91.7%

Sample

1st row대구광역시 중구 포정동 **-*번지 중앙상가 *층 ***호
2nd row대구광역시 중구 포정동 **번지 무궁화백화점***호
3rd row대구광역시 중구 수동 *-*번지
4th row대구광역시 중구 태평로*가 ***-*번지
5th row대구광역시 중구 전동 **-*번지
ValueCountFrequency (%)
대구광역시 24
20.3%
번지 20
16.9%
중구 9
 
7.6%
북구 7
 
5.9%
호 5
 
4.2%
4
 
3.4%
층 4
 
3.4%
포정동 3
 
2.5%
수성구 3
 
2.5%
동천동 2
 
1.7%
Other values (31) 37
31.4%
2024-04-18T09:20:21.570611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 125
20.2%
114
18.4%
구 50
 
8.1%
동 26
 
4.2%
시 26
 
4.2%
대 25
 
4.0%
역 24
 
3.9%
광 24
 
3.9%
지 21
 
3.4%
번 20
 
3.2%
Other values (56) 164
26.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 362
58.5%
Other Punctuation 125
 
20.2%
Space Separator 114
 
18.4%
Dash Punctuation 18
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 50
 
13.8%
동 26
 
7.2%
시 26
 
7.2%
대 25
 
6.9%
역 24
 
6.6%
광 24
 
6.6%
지 21
 
5.8%
번 20
 
5.5%
중 10
 
2.8%
북 8
 
2.2%
Other values (53) 128
35.4%
Other Punctuation
ValueCountFrequency (%)
* 125
100.0%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 362
58.5%
Common 257
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 50
 
13.8%
동 26
 
7.2%
시 26
 
7.2%
대 25
 
6.9%
역 24
 
6.6%
광 24
 
6.6%
지 21
 
5.8%
번 20
 
5.5%
중 10
 
2.8%
북 8
 
2.2%
Other values (53) 128
35.4%
Common
ValueCountFrequency (%)
* 125
48.6%
114
44.4%
- 18
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 362
58.5%
ASCII 257
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 125
48.6%
114
44.4%
- 18
 
7.0%
Hangul
ValueCountFrequency (%)
구 50
 
13.8%
동 26
 
7.2%
시 26
 
7.2%
대 25
 
6.9%
역 24
 
6.6%
광 24
 
6.6%
지 21
 
5.8%
번 20
 
5.5%
중 10
 
2.8%
북 8
 
2.2%
Other values (53) 128
35.4%

도로명전체주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-18T09:20:21.785190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36.5
Mean length30.708333
Min length20

Characters and Unicode

Total characters737
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

Unique24 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 경상감영길 *** (포정동,중앙상가 *층 ***호)
2nd row대구광역시 중구 경상감영길 *** (포정동, 무궁화백화점***호)
3rd row대구광역시 중구 국채보상로 ***, *층 (수동)
4th row대구광역시 중구 태평로 *** (태평로*가)
5th row대구광역시 중구 국채보상로 ***-** (전동)
ValueCountFrequency (%)
대구광역시 24
16.2%
24
16.2%
중구 9
 
6.1%
층 7
 
4.7%
호 7
 
4.7%
북구 7
 
4.7%
동 4
 
2.7%
경상감영길 3
 
2.0%
국채보상로 3
 
2.0%
수성구 3
 
2.0%
Other values (48) 57
38.5%
2024-04-18T09:20:22.131770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
17.1%
* 120
16.3%
구 51
 
6.9%
동 32
 
4.3%
대 26
 
3.5%
시 26
 
3.5%
( 24
 
3.3%
광 24
 
3.3%
역 24
 
3.3%
) 24
 
3.3%
Other values (87) 260
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 417
56.6%
Other Punctuation 140
 
19.0%
Space Separator 126
 
17.1%
Open Punctuation 24
 
3.3%
Close Punctuation 24
 
3.3%
Dash Punctuation 5
 
0.7%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 51
 
12.2%
동 32
 
7.7%
대 26
 
6.2%
시 26
 
6.2%
광 24
 
5.8%
역 24
 
5.8%
로 23
 
5.5%
중 10
 
2.4%
성 9
 
2.2%
상 9
 
2.2%
Other values (80) 183
43.9%
Other Punctuation
ValueCountFrequency (%)
* 120
85.7%
, 20
 
14.3%
Space Separator
ValueCountFrequency (%)
126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 417
56.6%
Common 319
43.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 51
 
12.2%
동 32
 
7.7%
대 26
 
6.2%
시 26
 
6.2%
광 24
 
5.8%
역 24
 
5.8%
로 23
 
5.5%
중 10
 
2.4%
성 9
 
2.2%
상 9
 
2.2%
Other values (80) 183
43.9%
Common
ValueCountFrequency (%)
126
39.5%
* 120
37.6%
( 24
 
7.5%
) 24
 
7.5%
, 20
 
6.3%
- 5
 
1.6%
Latin
ValueCountFrequency (%)
M 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 417
56.6%
ASCII 320
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
39.4%
* 120
37.5%
( 24
 
7.5%
) 24
 
7.5%
, 20
 
6.2%
- 5
 
1.6%
M 1
 
0.3%
Hangul
ValueCountFrequency (%)
구 51
 
12.2%
동 32
 
7.7%
대 26
 
6.2%
시 26
 
6.2%
광 24
 
5.8%
역 24
 
5.8%
로 23
 
5.5%
중 10
 
2.4%
성 9
 
2.2%
상 9
 
2.2%
Other values (80) 183
43.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean432258.77
Minimum41423
Maximum706833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-18T09:20:22.247706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41423
5-th percentile41523.35
Q141982.25
median700020
Q3702807
95-th percentile705770.9
Maximum706833
Range665410
Interquartile range (IQR)660824.75

Descriptive statistics

Standard deviation332454.86
Coefficient of variation (CV)0.76911073
Kurtosis-2.0366347
Mean432258.77
Median Absolute Deviation (MAD)5264
Skewness-0.39733436
Sum9509693
Variance1.1052623 × 1011
MonotonicityNot monotonic
2024-04-18T09:20:22.354833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
700010 2
 
8.3%
41919 2
 
8.3%
702807 2
 
8.3%
700100 1
 
4.2%
41921 1
 
4.2%
703805 1
 
4.2%
705825 1
 
4.2%
42422 1
 
4.2%
702715 1
 
4.2%
700030 1
 
4.2%
Other values (9) 9
37.5%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
41423 1
4.2%
41523 1
4.2%
41530 1
4.2%
41919 2
8.3%
41921 1
4.2%
42166 1
4.2%
42187 1
4.2%
42422 1
4.2%
700010 2
8.3%
700030 1
4.2%
ValueCountFrequency (%)
706833 1
4.2%
705825 1
4.2%
704743 1
4.2%
703805 1
4.2%
702885 1
4.2%
702807 2
8.3%
702715 1
4.2%
700113 1
4.2%
700100 1
4.2%
700030 1
4.2%

사업장명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-18T09:20:22.534695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length7.6666667
Min length4

Characters and Unicode

Total characters184
Distinct characters84
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row대경영화사
2nd row대구영상
3rd row대구경북영화영상사회적협동조합
4th row씨네소프트
5th row(주)대구시네마
ValueCountFrequency (%)
주식회사 2
 
6.2%
대경영화사 1
 
3.1%
팔공영상 1
 
3.1%
영화와 1
 
3.1%
박상호영화필림 1
 
3.1%
세창영상 1
 
3.1%
유한회사 1
 
3.1%
유컴퍼니 1
 
3.1%
asia 1
 
3.1%
hm 1
 
3.1%
Other values (21) 21
65.6%
2024-04-18T09:20:22.850056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 12
 
6.5%
8
 
4.3%
상 7
 
3.8%
주 6
 
3.3%
대 5
 
2.7%
회 5
 
2.7%
엔 5
 
2.7%
이 5
 
2.7%
사 5
 
2.7%
화 5
 
2.7%
Other values (74) 121
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141
76.6%
Uppercase Letter 27
 
14.7%
Space Separator 8
 
4.3%
Open Punctuation 4
 
2.2%
Close Punctuation 4
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 12
 
8.5%
상 7
 
5.0%
주 6
 
4.3%
대 5
 
3.5%
회 5
 
3.5%
엔 5
 
3.5%
이 5
 
3.5%
사 5
 
3.5%
화 5
 
3.5%
구 4
 
2.8%
Other values (57) 82
58.2%
Uppercase Letter
ValueCountFrequency (%)
I 4
14.8%
H 3
11.1%
E 3
11.1%
A 3
11.1%
T 2
7.4%
G 2
7.4%
R 2
7.4%
S 2
7.4%
M 1
 
3.7%
J 1
 
3.7%
Other values (4) 4
14.8%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141
76.6%
Latin 27
 
14.7%
Common 16
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 12
 
8.5%
상 7
 
5.0%
주 6
 
4.3%
대 5
 
3.5%
회 5
 
3.5%
엔 5
 
3.5%
이 5
 
3.5%
사 5
 
3.5%
화 5
 
3.5%
구 4
 
2.8%
Other values (57) 82
58.2%
Latin
ValueCountFrequency (%)
I 4
14.8%
H 3
11.1%
E 3
11.1%
A 3
11.1%
T 2
7.4%
G 2
7.4%
R 2
7.4%
S 2
7.4%
M 1
 
3.7%
J 1
 
3.7%
Other values (4) 4
14.8%
Common
ValueCountFrequency (%)
8
50.0%
( 4
25.0%
) 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 141
76.6%
ASCII 43
 
23.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 12
 
8.5%
상 7
 
5.0%
주 6
 
4.3%
대 5
 
3.5%
회 5
 
3.5%
엔 5
 
3.5%
이 5
 
3.5%
사 5
 
3.5%
화 5
 
3.5%
구 4
 
2.8%
Other values (57) 82
58.2%
ASCII
ValueCountFrequency (%)
8
18.6%
( 4
9.3%
) 4
9.3%
I 4
9.3%
H 3
 
7.0%
E 3
 
7.0%
A 3
 
7.0%
T 2
 
4.7%
G 2
 
4.7%
R 2
 
4.7%
Other values (7) 8
18.6%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0158982 × 1013
Minimum2.0100706 × 1013
Maximum2.021111 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-18T09:20:22.991099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0100706 × 1013
5-th percentile2.0110602 × 1013
Q12.0135429 × 1013
median2.0160426 × 1013
Q32.019061 × 1013
95-th percentile2.0210722 × 1013
Maximum2.021111 × 1013
Range1.1040403 × 1011
Interquartile range (IQR)5.5180519 × 1010

Descriptive statistics

Standard deviation3.6478362 × 1010
Coefficient of variation (CV)0.0018095339
Kurtosis-1.3255347
Mean2.0158982 × 1013
Median Absolute Deviation (MAD)3.038501 × 1010
Skewness-0.054971584
Sum4.8381557 × 1014
Variance1.3306709 × 1021
MonotonicityNot monotonic
2024-04-18T09:20:23.112846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20100706143234 1
 
4.2%
20191212151957 1
 
4.2%
20151014142912 1
 
4.2%
20110526103729 1
 
4.2%
20201215175545 1
 
4.2%
20210813105613 1
 
4.2%
20140203102254 1
 
4.2%
20160523114128 1
 
4.2%
20170413175948 1
 
4.2%
20140411105643 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
20100706143234 1
4.2%
20110526103729 1
4.2%
20111030142114 1
4.2%
20111030151528 1
4.2%
20111125183051 1
4.2%
20121108202844 1
4.2%
20140203102254 1
4.2%
20140318154450 1
4.2%
20140411105643 1
4.2%
20140617171842 1
4.2%
ValueCountFrequency (%)
20211110175404 1
4.2%
20210813105613 1
4.2%
20210205112442 1
4.2%
20201215175545 1
4.2%
20200113145750 1
4.2%
20191212151957 1
4.2%
20190409145037 1
4.2%
20190110111110 1
4.2%
20180313144231 1
4.2%
20170413175948 1
4.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
I
21 
U
3 

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 21
87.5%
U 3
 
12.5%

Length

2024-04-18T09:20:23.227844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:20:23.310261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 21
87.5%
u 3
 
12.5%

데이터갱신일자
Date

Distinct9
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2018-08-31 23:59:59
Maximum2021-11-12 00:22:45
2024-04-18T09:20:23.394373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T09:20:23.496341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

좌표정보(X)
Real number (ℝ)

Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343069.95
Minimum336954.22
Maximum347075.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-18T09:20:23.604707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum336954.22
5-th percentile339229.59
Q1341042.06
median343676.97
Q3344337.96
95-th percentile346309.19
Maximum347075.54
Range10121.319
Interquartile range (IQR)3295.8971

Descriptive statistics

Standard deviation2488.2867
Coefficient of variation (CV)0.007253001
Kurtosis0.10730958
Mean343069.95
Median Absolute Deviation (MAD)1936.0995
Skewness-0.59419764
Sum8233678.7
Variance6191570.6
MonotonicityNot monotonic
2024-04-18T09:20:23.720841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
341042.064148 2
 
8.3%
340718.253609 2
 
8.3%
345948.619573 2
 
8.3%
343843.928958 2
 
8.3%
343800.362369 1
 
4.2%
345250.756579 1
 
4.2%
336954.220302 1
 
4.2%
339091.564952 1
 
4.2%
347075.539149 1
 
4.2%
345362.987975 1
 
4.2%
Other values (10) 10
41.7%
ValueCountFrequency (%)
336954.220302 1
4.2%
339091.564952 1
4.2%
340011.737583 1
4.2%
340718.253609 2
8.3%
341042.064148 2
8.3%
341490.789047 1
4.2%
342930.413533 1
4.2%
343418.6662 1
4.2%
343471.43921 1
4.2%
343571.965699 1
4.2%
ValueCountFrequency (%)
347075.539149 1
4.2%
346372.82338 1
4.2%
345948.619573 2
8.3%
345362.987975 1
4.2%
345250.756579 1
4.2%
344033.696103 1
4.2%
343954.047468 1
4.2%
343843.928958 2
8.3%
343800.362369 1
4.2%
343781.971492 1
4.2%

좌표정보(Y)
Real number (ℝ)

Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean265467.47
Minimum259777.2
Maximum272659.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-18T09:20:23.835120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum259777.2
5-th percentile260259.57
Q1262912.97
median264715.94
Q3268094.05
95-th percentile272628.51
Maximum272659.98
Range12882.773
Interquartile range (IQR)5181.0796

Descriptive statistics

Standard deviation3928.9647
Coefficient of variation (CV)0.014800174
Kurtosis-0.33233959
Mean265467.47
Median Absolute Deviation (MAD)2137.7456
Skewness0.71182865
Sum6371219.3
Variance15436764
MonotonicityNot monotonic
2024-04-18T09:20:23.949666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
272450.218487 2
 
8.3%
272659.975074 2
 
8.3%
268094.048406 2
 
8.3%
264721.595597 2
 
8.3%
264745.47733 1
 
4.2%
268519.387279 1
 
4.2%
262321.195205 1
 
4.2%
260495.830517 1
 
4.2%
259777.201586 1
 
4.2%
260217.87376 1
 
4.2%
Other values (10) 10
41.7%
ValueCountFrequency (%)
259777.201586 1
4.2%
260217.87376 1
4.2%
260495.830517 1
4.2%
261834.990748 1
4.2%
262321.195205 1
4.2%
262835.199453 1
4.2%
262938.891984 1
4.2%
263314.119275 1
4.2%
264499.217306 1
4.2%
264558.069261 1
4.2%
ValueCountFrequency (%)
272659.975074 2
8.3%
272450.218487 2
8.3%
268519.387279 1
4.2%
268094.048406 2
8.3%
265193.050485 1
4.2%
264824.100818 1
4.2%
264745.47733 1
4.2%
264721.595597 2
8.3%
264710.290236 1
4.2%
264582.776251 1
4.2%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
영화배급업
24 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화배급업 24
100.0%

Length

2024-04-18T09:20:24.061827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:20:24.151789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 24
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
22 
0
 
2

Length

Max length4
Median length4
Mean length3.75
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> 22
91.7%
0 2
 
8.3%

Length

2024-04-18T09:20:24.250351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:20:24.343112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
91.7%
0 2
 
8.3%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
22 
0
 
2

Length

Max length4
Median length4
Mean length3.75
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> 22
91.7%
0 2
 
8.3%

Length

2024-04-18T09:20:24.446881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:20:24.534009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
91.7%
0 2
 
8.3%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
22 
0
 
2

Length

Max length4
Median length4
Mean length3.75
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> 22
91.7%
0 2
 
8.3%

Length

2024-04-18T09:20:24.634980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:20:24.728371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
91.7%
0 2
 
8.3%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
22 
0
 
2

Length

Max length4
Median length4
Mean length3.75
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> 22
91.7%
0 2
 
8.3%

Length

2024-04-18T09:20:24.822591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:20:24.919105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
91.7%
0 2
 
8.3%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
22 
0
 
2

Length

Max length4
Median length4
Mean length3.75
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> 22
91.7%
0 2
 
8.3%

Length

2024-04-18T09:20:25.024566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:20:25.115302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
91.7%
0 2
 
8.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
22 
0
 
2

Length

Max length4
Median length4
Mean length3.75
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> 22
91.7%
0 2
 
8.3%

Length

2024-04-18T09:20:25.212675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:20:25.305092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
91.7%
0 2
 
8.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
22 
0
 
2

Length

Max length4
Median length4
Mean length3.75
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> 22
91.7%
0 2
 
8.3%

Length

2024-04-18T09:20:25.416862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:20:25.507536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
91.7%
0 2
 
8.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
22 
0
 
2

Length

Max length4
Median length4
Mean length3.75
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> 22
91.7%
0 2
 
8.3%

Length

2024-04-18T09:20:25.604941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:20:25.692985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
91.7%
0 2
 
8.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
22 
0
 
2

Length

Max length4
Median length4
Mean length3.75
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> 22
91.7%
0 2
 
8.3%

Length

2024-04-18T09:20:25.791160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T09:20:25.899597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
91.7%
0 2
 
8.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

최초등록시점
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20118450
Minimum19990820
Maximum20211110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-18T09:20:26.009536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990820
5-th percentile20000358
Q120085391
median20140320
Q320165540
95-th percentile20209208
Maximum20211110
Range220290
Interquartile range (IQR)80148.25

Descriptive statistics

Standard deviation70294.106
Coefficient of variation (CV)0.003494012
Kurtosis-0.76634698
Mean20118450
Median Absolute Deviation (MAD)49645.5
Skewness-0.59881936
Sum4.828428 × 108
Variance4.9412613 × 109
MonotonicityNot monotonic
2024-04-18T09:20:26.791473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20090819 1
 
4.2%
20190220 1
 
4.2%
20150423 1
 
4.2%
20000529 1
 
4.2%
19990820 1
 
4.2%
20210813 1
 
4.2%
20110620 1
 
4.2%
20160523 1
 
4.2%
20140519 1
 
4.2%
20140410 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
19990820 1
4.2%
20000328 1
4.2%
20000529 1
4.2%
20010202 1
4.2%
20021001 1
4.2%
20070911 1
4.2%
20090218 1
4.2%
20090819 1
4.2%
20110620 1
4.2%
20120620 1
4.2%
ValueCountFrequency (%)
20211110 1
4.2%
20210813 1
4.2%
20200113 1
4.2%
20190220 1
4.2%
20190110 1
4.2%
20180313 1
4.2%
20160615 1
4.2%
20160523 1
4.2%
20150423 1
4.2%
20140519 1
4.2%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01영화배급업03_13_01_P3410000CDFF521103200900000120090819<NA>3폐업3폐업20100202<NA><NA><NA>02-3393-8896<NA><NA>대구광역시 중구 포정동 **-*번지 중앙상가 *층 ***호대구광역시 중구 경상감영길 *** (포정동,중앙상가 *층 ***호)<NA>대경영화사20100706143234I2018-08-31 23:59:59.0<NA>343800.362369264745.47733영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090819<NA>
12영화배급업03_13_01_P3410000CDFF521103201400000220140321<NA>3폐업3폐업20140617<NA><NA><NA><NA><NA><NA>대구광역시 중구 포정동 **번지 무궁화백화점***호대구광역시 중구 경상감영길 *** (포정동, 무궁화백화점***호)700010대구영상20140617171842I2018-08-31 23:59:59.0<NA>343843.928958264721.595597영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20140321<NA>
23영화배급업03_13_01_P3410000CDFF521103201900000120190110<NA>1영업/정상13영업중<NA><NA><NA><NA>053-425-3553<NA><NA>대구광역시 중구 수동 *-*번지대구광역시 중구 국채보상로 ***, *층 (수동)41919대구경북영화영상사회적협동조합20190110111110I2019-01-12 02:20:46.0<NA>343471.43921264558.069261영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20190110<NA>
34영화배급업03_13_01_P3410000CDFF521103200000000120000328<NA>1영업/정상13영업중<NA><NA><NA><NA>053-256-0528<NA><NA>대구광역시 중구 태평로*가 ***-*번지대구광역시 중구 태평로 *** (태평로*가)700113씨네소프트20160328163824I2018-08-31 23:59:59.0<NA>343418.6662265193.050485영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000328<NA>
45영화배급업03_13_01_P3410000CDFF521103200100000120010202<NA>1영업/정상13영업중<NA><NA><NA><NA>053-428-1950<NA><NA>대구광역시 중구 전동 **-*번지대구광역시 중구 국채보상로 ***-** (전동)700030(주)대구시네마20111030142114I2018-08-31 23:59:59.0<NA>343781.971492264499.217306영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20010202<NA>
56영화배급업03_13_01_P3410000CDFF521103200200000120021001<NA>1영업/정상13영업중<NA><NA><NA><NA>053-424-7055<NA><NA>대구광역시 중구 화전동 **-**번지 *층대구광역시 중구 교동길 * (화전동)700100(주)엔에스엘무비20111125183051I2018-08-31 23:59:59.0<NA>343954.047468264824.100818영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20021001<NA>
67영화배급업03_13_01_P3410000CDFF521103201400000120140318<NA>1영업/정상13영업중<NA><NA><NA><NA>0532547108<NA>700010대구광역시 중구 포정동 **번지 무궁화백화점***호대구광역시 중구 경상감영길 *** (포정동)700010중앙영상20140318154450I2018-08-31 23:59:59.0<NA>343843.928958264721.595597영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20140318<NA>
78영화배급업03_13_01_P3410000CDFF521103202000000120200113<NA>1영업/정상13영업중<NA><NA><NA><NA>053-424-0030<NA><NA>대구광역시 중구 종로*가 **-*번지대구광역시 중구 국채보상로 *** (종로*가)41919주식회사 지원엠케이20200113145750I2020-01-15 00:23:25.0<NA>343571.965699264582.776251영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20200113<NA>
89영화배급업03_13_01_P3410000CDFF521103202100000120211110<NA>1영업/정상13영업중<NA><NA><NA><NA>053-629-4424<NA><NA>대구광역시 중구 시장북로 **-*대구광역시 중구 서성로**길 **-*, *층 (시장북로)41921대구경북독립영화협회20211110175404I2021-11-12 00:22:45.0<NA>342930.413533264710.290236영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20211110<NA>
910영화배급업03_13_01_P3430000CDFF521103201200000120120920<NA>1영업/정상13영업중<NA><NA><NA><NA>053-722-7007<NA>703805대구광역시 서구 내당동 ***-**번지대구광역시 서구 달구벌대로 **** (내당동, M플라자 *층)703805(주)나노아20121108202844I2018-08-31 23:59:59.0<NA>340011.737583262835.199453영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20120920<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1415영화배급업03_13_01_P3450000CDFF521103201600000220160615<NA>3폐업3폐업20190409<NA><NA><NA><NA><NA><NA>대구광역시 북구 복현동 ***-***번지 서한아파트 ***동 ***호대구광역시 북구 검단로 **, ***동 ***호 (복현동, 서한아파트)41530팔공영상20190409145037U2019-04-11 02:40:00.0<NA>345948.619573268094.048406영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20160615<NA>
1516영화배급업03_13_01_P3450000CDFF521103200700000120070911<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 동천동 ***-*대구광역시 북구 동암로 ** (동천동)702885한신공영(주)20210205112442U2021-02-07 02:40:00.0<NA>340718.253609272659.975074영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070911<NA>
1617영화배급업03_13_01_P3450000CDFF521103201400000120140410<NA>1영업/정상13영업중<NA><NA><NA><NA>053-324-0600<NA><NA>대구광역시 북구 구암동 ***-*번지대구광역시 북구 학정로 ***, *층 (구암동)702807디엔제이엔터테인먼트20140411105643I2018-08-31 23:59:59.0<NA>341042.064148272450.218487영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20140410<NA>
1718영화배급업03_13_01_P3450000CDFF521103201400000220140519<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 구암동 ***-*번지 *층대구광역시 북구 학정로 *** (구암동)702807디엔케이 시네마20170413175948I2018-08-31 23:59:59.0<NA>341042.064148272450.218487영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20140519<NA>
1819영화배급업03_13_01_P3450000CDFF521103201600000120160523<NA>1영업/정상13영업중<NA><NA><NA><NA>053-322-1500<NA><NA>대구광역시 북구 동천동 ***-*번지대구광역시 북구 동암로 ** (동천동, 세븐밸리)41423주식회사 지원20160523114128I2018-08-31 23:59:59.0<NA>340718.253609272659.975074영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20160523<NA>
1920영화배급업03_13_01_P3460000CDFF521103201100000120110620<NA>3폐업3폐업20140129<NA><NA><NA><NA><NA><NA>대구광역시 수성구 수성동*가 *번지 수성빌딩대구광역시 수성구 청솔로 ***, *층 (수성동*가, 수성빌딩)706833HERITAGE HM ASIA20140203102254I2018-08-31 23:59:59.0<NA>346372.82338263314.119275영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20110620<NA>
2021영화배급업03_13_01_P3460000CDFF521103202100000120210813<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7602-3113<NA><NA>대구광역시 수성구 상동 *** 수성동일하이빌레이크시티아파트대구광역시 수성구 수성로 **, ***동 ****호 (상동, 수성동일하이빌레이크시티아파트)42166유컴퍼니 유한회사20210813105613I2021-08-15 00:23:01.0<NA>345362.987975260217.87376영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20210813<NA>
2122영화배급업03_13_01_P3460000CDFF521103202000000119990820<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 지산동 ****-**대구광역시 수성구 지범로 **-** (지산동)42187세창영상20201215175545I2020-12-17 00:23:06.0<NA>347075.539149259777.201586영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990820<NA>
2223영화배급업03_13_01_P3470000CDFF521103200000000120000529<NA>3폐업3폐업20110525<NA><NA><NA>629-2029<NA><NA>대구광역시 달서구 본동 ****-*번지대구광역시 달서구 와룡로*길 **-* (본동)<NA>박상호영화필림20110526103729I2018-08-31 23:59:59.0<NA>339091.564952260495.830517영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000529<NA>
2324영화배급업03_13_01_P3470000CDFF521103201500000120150423<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 용산동 ***번지 평화타운 ***동 ***호대구광역시 달서구 성서동로 ***, ***동 ***호 (용산동, 평화타운)704743영화와 소통하기20151014142912I2018-08-31 23:59:59.0<NA>336954.220302262321.195205영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20150423<NA>