Overview

Dataset statistics

Number of variables59
Number of observations44
Missing cells1182
Missing cells (%)45.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.4 KiB
Average record size in memory521.9 B

Variable types

Numeric8
Categorical19
Text5
Unsupported26
DateTime1

Dataset

Description22년05월_6270000_대구광역시_03_13_05_P_영화제작업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093501&dataSetDetailId=DDI_0000093498&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (73.3%)Imbalance
영업상태명 is highly imbalanced (73.3%)Imbalance
상세영업상태코드 is highly imbalanced (73.3%)Imbalance
상세영업상태명 is highly imbalanced (73.3%)Imbalance
폐업일자 is highly imbalanced (84.4%)Imbalance
소재지우편번호 is highly imbalanced (76.6%)Imbalance
데이터갱신구분 is highly imbalanced (56.1%)Imbalance
인허가취소일자 has 44 (100.0%) missing valuesMissing
휴업시작일자 has 44 (100.0%) missing valuesMissing
휴업종료일자 has 44 (100.0%) missing valuesMissing
재개업일자 has 44 (100.0%) missing valuesMissing
소재지전화 has 24 (54.5%) missing valuesMissing
소재지면적 has 44 (100.0%) missing valuesMissing
도로명전체주소 has 2 (4.5%) missing valuesMissing
도로명우편번호 has 6 (13.6%) missing valuesMissing
업태구분명 has 44 (100.0%) missing valuesMissing
좌표정보(X) has 3 (6.8%) missing valuesMissing
좌표정보(Y) has 3 (6.8%) missing valuesMissing
문화사업자구분명 has 44 (100.0%) missing valuesMissing
주변환경명 has 44 (100.0%) missing valuesMissing
제작취급품목내용 has 44 (100.0%) missing valuesMissing
건물용도명 has 44 (100.0%) missing valuesMissing
비상계단여부 has 44 (100.0%) missing valuesMissing
비상구여부 has 44 (100.0%) missing valuesMissing
자동환기여부 has 44 (100.0%) missing valuesMissing
청소년실여부 has 44 (100.0%) missing valuesMissing
특수조명여부 has 44 (100.0%) missing valuesMissing
방음시설여부 has 44 (100.0%) missing valuesMissing
비디오재생기명 has 44 (100.0%) missing valuesMissing
조명시설유무 has 44 (100.0%) missing valuesMissing
음향시설여부 has 44 (100.0%) missing valuesMissing
편의시설여부 has 44 (100.0%) missing valuesMissing
소방시설여부 has 44 (100.0%) missing valuesMissing
기존게임업외업종명 has 44 (100.0%) missing valuesMissing
제공게임물명 has 44 (100.0%) missing valuesMissing
공연장형태구분명 has 44 (100.0%) missing valuesMissing
품목명 has 44 (100.0%) missing valuesMissing
지역구분명 has 44 (100.0%) missing valuesMissing
번호 has unique valuesUnique
인허가일자 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 started2024-04-21 16:53:19.340505
Analysis finished2024-04-21 16:53:20.210702
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-22T01:53:20.402633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.15
Q111.75
median22.5
Q333.25
95-th percentile41.85
Maximum44
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.845233
Coefficient of variation (CV)0.57089923
Kurtosis-1.2
Mean22.5
Median Absolute Deviation (MAD)11
Skewness0
Sum990
Variance165
MonotonicityStrictly increasing
2024-04-22T01:53:20.817061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 1
 
2.3%
24 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
33 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
44 1
2.3%
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size480.0 B
영화제작업
44 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 44
100.0%

Length

2024-04-22T01:53:21.208809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:53:21.515800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 44
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size480.0 B
03_13_05_P
44 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_13_05_P
2nd row03_13_05_P
3rd row03_13_05_P
4th row03_13_05_P
5th row03_13_05_P

Common Values

ValueCountFrequency (%)
03_13_05_P 44
100.0%

Length

2024-04-22T01:53:21.832676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:53:22.143214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_13_05_p 44
100.0%

개방자치단체코드
Real number (ℝ)

Distinct6
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3434772.7
Minimum3410000
Maximum3470000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-22T01:53:22.410412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3440000
Q33450000
95-th percentile3470000
Maximum3470000
Range60000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21619.181
Coefficient of variation (CV)0.0062942102
Kurtosis-1.3935103
Mean3434772.7
Median Absolute Deviation (MAD)20000
Skewness0.21327123
Sum1.5113 × 108
Variance4.6738901 × 108
MonotonicityIncreasing
2024-04-22T01:53:22.754458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3410000 13
29.5%
3440000 8
18.2%
3420000 7
15.9%
3450000 7
15.9%
3470000 5
 
11.4%
3460000 4
 
9.1%
ValueCountFrequency (%)
3410000 13
29.5%
3420000 7
15.9%
3440000 8
18.2%
3450000 7
15.9%
3460000 4
 
9.1%
3470000 5
 
11.4%
ValueCountFrequency (%)
3470000 5
 
11.4%
3460000 4
 
9.1%
3450000 7
15.9%
3440000 8
18.2%
3420000 7
15.9%
3410000 13
29.5%

관리번호
Text

Distinct25
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Memory size480.0 B
2024-04-22T01:53:23.475340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters880
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 (%)34.1%

Sample

1st rowCDFF5211012014000002
2nd rowCDFF5211012001000001
3rd rowCDFF5211012002000001
4th rowCDFF5211012002000002
5th rowCDFF5211011999000001
ValueCountFrequency (%)
cdff5211012019000001 5
 
11.4%
cdff5211012014000001 4
 
9.1%
cdff5211012021000001 4
 
9.1%
cdff5211012002000001 3
 
6.8%
cdff5211011999000001 3
 
6.8%
cdff5211012021000002 2
 
4.5%
cdff5211012014000002 2
 
4.5%
cdff5211012009000001 2
 
4.5%
cdff5211012018000001 2
 
4.5%
cdff5211012019000002 2
 
4.5%
Other values (15) 15
34.1%
2024-04-22T01:53:24.556112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 318
36.1%
1 194
22.0%
2 114
 
13.0%
F 88
 
10.0%
5 45
 
5.1%
C 44
 
5.0%
D 44
 
5.0%
9 18
 
2.0%
4 7
 
0.8%
8 2
 
0.2%
Other values (3) 6
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 704
80.0%
Uppercase Letter 176
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 318
45.2%
1 194
27.6%
2 114
 
16.2%
5 45
 
6.4%
9 18
 
2.6%
4 7
 
1.0%
8 2
 
0.3%
6 2
 
0.3%
3 2
 
0.3%
7 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 88
50.0%
C 44
25.0%
D 44
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 704
80.0%
Latin 176
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 318
45.2%
1 194
27.6%
2 114
 
16.2%
5 45
 
6.4%
9 18
 
2.6%
4 7
 
1.0%
8 2
 
0.3%
6 2
 
0.3%
3 2
 
0.3%
7 2
 
0.3%
Latin
ValueCountFrequency (%)
F 88
50.0%
C 44
25.0%
D 44
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 318
36.1%
1 194
22.0%
2 114
 
13.0%
F 88
 
10.0%
5 45
 
5.1%
C 44
 
5.0%
D 44
 
5.0%
9 18
 
2.0%
4 7
 
0.8%
8 2
 
0.2%
Other values (3) 6
 
0.7%

인허가일자
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20132289
Minimum19990918
Maximum20220414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-22T01:53:24.964368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990918
5-th percentile19994049
Q120068441
median20150718
Q320191018
95-th percentile20211127
Maximum20220414
Range229496
Interquartile range (IQR)122577.25

Descriptive statistics

Standard deviation75576.515
Coefficient of variation (CV)0.0037539951
Kurtosis-1.0040705
Mean20132289
Median Absolute Deviation (MAD)50254.5
Skewness-0.6865506
Sum8.8582073 × 108
Variance5.7118097 × 109
MonotonicityNot monotonic
2024-04-22T01:53:25.392269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
20140321 1
 
2.3%
20160406 1
 
2.3%
20090130 1
 
2.3%
20201228 1
 
2.3%
19991214 1
 
2.3%
20181024 1
 
2.3%
20150907 1
 
2.3%
20090309 1
 
2.3%
20070911 1
 
2.3%
20210427 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
19990918 1
2.3%
19991119 1
2.3%
19991214 1
2.3%
20010112 1
2.3%
20020326 1
2.3%
20020411 1
2.3%
20020716 1
2.3%
20021001 1
2.3%
20031201 1
2.3%
20040920 1
2.3%
ValueCountFrequency (%)
20220414 1
2.3%
20211214 1
2.3%
20211130 1
2.3%
20211110 1
2.3%
20210813 1
2.3%
20210504 1
2.3%
20210427 1
2.3%
20201228 1
2.3%
20200716 1
2.3%
20200330 1
2.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

영업상태구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
1
42 
3
 
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
95.5%
3 2
 
4.5%

Length

2024-04-22T01:53:25.780675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:53:26.086730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
95.5%
3 2
 
4.5%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
영업/정상
42 
폐업
 
2

Length

Max length5
Median length5
Mean length4.8636364
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
95.5%
폐업 2
 
4.5%

Length

2024-04-22T01:53:26.439654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:53:26.764076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 42
95.5%
폐업 2
 
4.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
13
42 
3
 
2

Length

Max length2
Median length2
Mean length1.9545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 42
95.5%
3 2
 
4.5%

Length

2024-04-22T01:53:27.106013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:53:27.421541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 42
95.5%
3 2
 
4.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
영업중
42 
폐업
 
2

Length

Max length3
Median length3
Mean length2.9545455
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 42
95.5%
폐업 2
 
4.5%

Length

2024-04-22T01:53:27.759973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:53:28.078540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 42
95.5%
폐업 2
 
4.5%

폐업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
<NA>
43 
20140617
 
1

Length

Max length8
Median length4
Mean length4.0909091
Min length4

Unique

Unique1 ?
Unique (%)2.3%

Sample

1st row20140617
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 43
97.7%
20140617 1
 
2.3%

Length

2024-04-22T01:53:28.446495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:53:28.785792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
97.7%
20140617 1
 
2.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

소재지전화
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing24
Missing (%)54.5%
Memory size480.0 B
2024-04-22T01:53:29.429294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.65
Min length9

Characters and Unicode

Total characters233
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

Unique20 ?
Unique (%)100.0%

Sample

1st row053-426-3991
2nd row053-257-8740
3rd row053-424-7055
4th row053-423-8121
5th row0532547108
ValueCountFrequency (%)
053-426-3991 1
 
5.0%
053-257-8740 1
 
5.0%
02-787-2950 1
 
5.0%
053-521-6734 1
 
5.0%
053-768-0135 1
 
5.0%
053-629-0304 1
 
5.0%
070-7602-3113 1
 
5.0%
1661-5680 1
 
5.0%
053-628-0144 1
 
5.0%
053-942-8112 1
 
5.0%
Other values (10) 10
50.0%
2024-04-22T01:53:30.312774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 35
15.0%
0 31
13.3%
5 29
12.4%
3 27
11.6%
4 25
10.7%
2 24
10.3%
6 18
7.7%
1 14
 
6.0%
7 11
 
4.7%
8 11
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 198
85.0%
Dash Punctuation 35
 
15.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
15.7%
5 29
14.6%
3 27
13.6%
4 25
12.6%
2 24
12.1%
6 18
9.1%
1 14
7.1%
7 11
 
5.6%
8 11
 
5.6%
9 8
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 233
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 35
15.0%
0 31
13.3%
5 29
12.4%
3 27
11.6%
4 25
10.7%
2 24
10.3%
6 18
7.7%
1 14
 
6.0%
7 11
 
4.7%
8 11
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 233
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 35
15.0%
0 31
13.3%
5 29
12.4%
3 27
11.6%
4 25
10.7%
2 24
10.3%
6 18
7.7%
1 14
 
6.0%
7 11
 
4.7%
8 11
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size480.0 B
<NA>
41 
700413
 
1
702717
 
1
702812
 
1

Length

Max length6
Median length4
Mean length4.1363636
Min length4

Unique

Unique3 ?
Unique (%)6.8%

Sample

1st row<NA>
2nd row700413
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 41
93.2%
700413 1
 
2.3%
702717 1
 
2.3%
702812 1
 
2.3%

Length

2024-04-22T01:53:30.748477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:53:31.096674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
93.2%
700413 1
 
2.3%
702717 1
 
2.3%
702812 1
 
2.3%

소재지전체주소
Text

Distinct42
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
2024-04-22T01:53:31.871657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length26.159091
Min length18

Characters and Unicode

Total characters1151
Distinct characters126
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

Unique40 ?
Unique (%)90.9%

Sample

1st row대구광역시 중구 포정동 **번지
2nd row대구광역시 중구 삼덕동*가 ***-*번지 덕영빌딩 *층
3rd row대구광역시 중구 대봉동 ***-**번지 서전빌딩 ***호
4th row대구광역시 중구 화전동 **-**번지 *층
5th row대구광역시 중구 삼덕동*가 *-**번지
ValueCountFrequency (%)
대구광역시 44
20.5%
번지 32
14.9%
중구 13
 
6.0%
12
 
5.6%
호 10
 
4.7%
남구 8
 
3.7%
북구 7
 
3.3%
동구 7
 
3.3%
대명동 6
 
2.8%
동 5
 
2.3%
Other values (54) 71
33.0%
2024-04-22T01:53:33.090761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 239
20.8%
205
17.8%
구 93
 
8.1%
동 61
 
5.3%
대 59
 
5.1%
시 48
 
4.2%
역 46
 
4.0%
광 45
 
3.9%
지 35
 
3.0%
번 32
 
2.8%
Other values (116) 288
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 669
58.1%
Other Punctuation 239
 
20.8%
Space Separator 205
 
17.8%
Dash Punctuation 32
 
2.8%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 93
13.9%
동 61
 
9.1%
대 59
 
8.8%
시 48
 
7.2%
역 46
 
6.9%
광 45
 
6.7%
지 35
 
5.2%
번 32
 
4.8%
중 13
 
1.9%
호 11
 
1.6%
Other values (109) 226
33.8%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
W 1
50.0%
Other Punctuation
ValueCountFrequency (%)
* 239
100.0%
Space Separator
ValueCountFrequency (%)
205
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 669
58.1%
Common 480
41.7%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 93
13.9%
동 61
 
9.1%
대 59
 
8.8%
시 48
 
7.2%
역 46
 
6.9%
광 45
 
6.7%
지 35
 
5.2%
번 32
 
4.8%
중 13
 
1.9%
호 11
 
1.6%
Other values (109) 226
33.8%
Common
ValueCountFrequency (%)
* 239
49.8%
205
42.7%
- 32
 
6.7%
( 2
 
0.4%
) 2
 
0.4%
Latin
ValueCountFrequency (%)
S 1
50.0%
W 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 669
58.1%
ASCII 482
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 239
49.6%
205
42.5%
- 32
 
6.6%
( 2
 
0.4%
) 2
 
0.4%
S 1
 
0.2%
W 1
 
0.2%
Hangul
ValueCountFrequency (%)
구 93
13.9%
동 61
 
9.1%
대 59
 
8.8%
시 48
 
7.2%
역 46
 
6.9%
광 45
 
6.7%
지 35
 
5.2%
번 32
 
4.8%
중 13
 
1.9%
호 11
 
1.6%
Other values (109) 226
33.8%

도로명전체주소
Text

MISSING 

Distinct38
Distinct (%)90.5%
Missing2
Missing (%)4.5%
Memory size480.0 B
2024-04-22T01:53:34.074295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40.5
Mean length32.428571
Min length20

Characters and Unicode

Total characters1362
Distinct characters142
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

Unique34 ?
Unique (%)81.0%

Sample

1st row대구광역시 중구 경상감영길 *** (포정동, 무궁화백화점***호)
2nd row대구광역시 중구 동덕로 ** (대봉동)
3rd row대구광역시 중구 교동길 * (화전동)
4th row대구광역시 중구 동성로*길 *-** (삼덕동*가)
5th row대구광역시 중구 경상감영길 *** (포정동, 무궁화백화점***호)
ValueCountFrequency (%)
대구광역시 42
 
16.0%
42
 
16.0%
호 17
 
6.5%
중구 12
 
4.6%
층 11
 
4.2%
동구 7
 
2.7%
남구 7
 
2.7%
동 7
 
2.7%
북구 7
 
2.7%
대명동 5
 
1.9%
Other values (86) 105
40.1%
2024-04-22T01:53:35.484881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 250
18.4%
222
16.3%
구 90
 
6.6%
동 69
 
5.1%
대 58
 
4.3%
시 46
 
3.4%
역 43
 
3.2%
( 42
 
3.1%
) 42
 
3.1%
광 42
 
3.1%
Other values (132) 458
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 753
55.3%
Other Punctuation 290
 
21.3%
Space Separator 222
 
16.3%
Open Punctuation 42
 
3.1%
Close Punctuation 42
 
3.1%
Dash Punctuation 11
 
0.8%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 90
 
12.0%
동 69
 
9.2%
대 58
 
7.7%
시 46
 
6.1%
역 43
 
5.7%
광 42
 
5.6%
로 39
 
5.2%
길 21
 
2.8%
호 19
 
2.5%
성 14
 
1.9%
Other values (124) 312
41.4%
Other Punctuation
ValueCountFrequency (%)
* 250
86.2%
, 40
 
13.8%
Uppercase Letter
ValueCountFrequency (%)
W 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
222
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 753
55.3%
Common 607
44.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 90
 
12.0%
동 69
 
9.2%
대 58
 
7.7%
시 46
 
6.1%
역 43
 
5.7%
광 42
 
5.6%
로 39
 
5.2%
길 21
 
2.8%
호 19
 
2.5%
성 14
 
1.9%
Other values (124) 312
41.4%
Common
ValueCountFrequency (%)
* 250
41.2%
222
36.6%
( 42
 
6.9%
) 42
 
6.9%
, 40
 
6.6%
- 11
 
1.8%
Latin
ValueCountFrequency (%)
W 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 753
55.3%
ASCII 609
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 250
41.1%
222
36.5%
( 42
 
6.9%
) 42
 
6.9%
, 40
 
6.6%
- 11
 
1.8%
W 1
 
0.2%
S 1
 
0.2%
Hangul
ValueCountFrequency (%)
구 90
 
12.0%
동 69
 
9.2%
대 58
 
7.7%
시 46
 
6.1%
역 43
 
5.7%
광 42
 
5.6%
로 39
 
5.2%
길 21
 
2.8%
호 19
 
2.5%
성 14
 
1.9%
Other values (124) 312
41.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)89.5%
Missing6
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean302744.95
Minimum41047
Maximum705824
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-22T01:53:35.707555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41047
5-th percentile41249.55
Q141919.5
median42422.5
Q3701543.75
95-th percentile705140.7
Maximum705824
Range664777
Interquartile range (IQR)659624.25

Descriptive statistics

Standard deviation327286.13
Coefficient of variation (CV)1.0810623
Kurtosis-1.9017043
Mean302744.95
Median Absolute Deviation (MAD)957
Skewness0.44866046
Sum11504308
Variance1.0711621 × 1011
MonotonicityNot monotonic
2024-04-22T01:53:35.921671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
41907 2
 
4.5%
41485 2
 
4.5%
41921 2
 
4.5%
700010 2
 
4.5%
41919 1
 
2.3%
41942 1
 
2.3%
42672 1
 
2.3%
42734 1
 
2.3%
704833 1
 
2.3%
704873 1
 
2.3%
Other values (24) 24
54.5%
(Missing) 6
 
13.6%
ValueCountFrequency (%)
41047 1
2.3%
41213 1
2.3%
41256 1
2.3%
41447 1
2.3%
41484 1
2.3%
41485 2
4.5%
41907 2
4.5%
41919 1
2.3%
41921 2
4.5%
41942 1
2.3%
ValueCountFrequency (%)
705824 1
2.3%
705751 1
2.3%
705033 1
2.3%
704873 1
2.3%
704833 1
2.3%
702885 1
2.3%
702812 1
2.3%
702717 1
2.3%
701812 1
2.3%
701788 1
2.3%

사업장명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size480.0 B
2024-04-22T01:53:36.624359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11.5
Mean length7.5454545
Min length2

Characters and Unicode

Total characters332
Distinct characters156
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 (%)100.0%

Sample

1st row대구영상
2nd row바바루픽쳐스
3rd row씨네비젼
4th row(주)엔에스엘무비
5th row세라필름
ValueCountFrequency (%)
주식회사 5
 
8.9%
대구영상 1
 
1.8%
한신공영(주 1
 
1.8%
영화사 1
 
1.8%
대명 1
 
1.8%
신원필름 1
 
1.8%
ing 1
 
1.8%
pictures 1
 
1.8%
디컬리전 1
 
1.8%
주)매직웍스 1
 
1.8%
Other values (42) 42
75.0%
2024-04-22T01:53:37.568079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 13
 
3.9%
12
 
3.6%
사 10
 
3.0%
회 9
 
2.7%
) 9
 
2.7%
( 9
 
2.7%
영 8
 
2.4%
스 7
 
2.1%
대 6
 
1.8%
이 6
 
1.8%
Other values (146) 243
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 273
82.2%
Uppercase Letter 18
 
5.4%
Space Separator 12
 
3.6%
Close Punctuation 9
 
2.7%
Open Punctuation 9
 
2.7%
Lowercase Letter 8
 
2.4%
Decimal Number 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 13
 
4.8%
사 10
 
3.7%
회 9
 
3.3%
영 8
 
2.9%
스 7
 
2.6%
대 6
 
2.2%
이 6
 
2.2%
티 5
 
1.8%
식 5
 
1.8%
화 5
 
1.8%
Other values (121) 199
72.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
11.1%
N 2
11.1%
S 2
11.1%
I 2
11.1%
E 1
 
5.6%
R 1
 
5.6%
U 1
 
5.6%
T 1
 
5.6%
C 1
 
5.6%
G 1
 
5.6%
Other values (4) 4
22.2%
Lowercase Letter
ValueCountFrequency (%)
i 2
25.0%
l 2
25.0%
e 2
25.0%
s 1
12.5%
d 1
12.5%
Decimal Number
ValueCountFrequency (%)
8 1
33.3%
1 1
33.3%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 273
82.2%
Common 33
 
9.9%
Latin 26
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 13
 
4.8%
사 10
 
3.7%
회 9
 
3.3%
영 8
 
2.9%
스 7
 
2.6%
대 6
 
2.2%
이 6
 
2.2%
티 5
 
1.8%
식 5
 
1.8%
화 5
 
1.8%
Other values (121) 199
72.9%
Latin
ValueCountFrequency (%)
i 2
 
7.7%
l 2
 
7.7%
e 2
 
7.7%
A 2
 
7.7%
N 2
 
7.7%
S 2
 
7.7%
I 2
 
7.7%
E 1
 
3.8%
R 1
 
3.8%
U 1
 
3.8%
Other values (9) 9
34.6%
Common
ValueCountFrequency (%)
12
36.4%
) 9
27.3%
( 9
27.3%
8 1
 
3.0%
1 1
 
3.0%
2 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 273
82.2%
ASCII 59
 
17.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 13
 
4.8%
사 10
 
3.7%
회 9
 
3.3%
영 8
 
2.9%
스 7
 
2.6%
대 6
 
2.2%
이 6
 
2.2%
티 5
 
1.8%
식 5
 
1.8%
화 5
 
1.8%
Other values (121) 199
72.9%
ASCII
ValueCountFrequency (%)
12
20.3%
) 9
15.3%
( 9
15.3%
i 2
 
3.4%
l 2
 
3.4%
e 2
 
3.4%
A 2
 
3.4%
N 2
 
3.4%
S 2
 
3.4%
I 2
 
3.4%
Other values (15) 15
25.4%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0162114 × 1013
Minimum2.0100427 × 1013
Maximum2.0220414 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-22T01:53:38.028490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0100427 × 1013
5-th percentile2.0100754 × 1013
Q12.0128163 × 1013
median2.0165562 × 1013
Q32.0200844 × 1013
95-th percentile2.0211202 × 1013
Maximum2.0220414 × 1013
Range1.1998709 × 1011
Interquartile range (IQR)7.2681488 × 1010

Descriptive statistics

Standard deviation4.1791709 × 1010
Coefficient of variation (CV)0.0020727841
Kurtosis-1.5585236
Mean2.0162114 × 1013
Median Absolute Deviation (MAD)3.5409916 × 1010
Skewness-0.13879712
Sum8.87133 × 1014
Variance1.746547 × 1021
MonotonicityNot monotonic
2024-04-22T01:53:38.286670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
20140617171806 1
 
2.3%
20160406180410 1
 
2.3%
20131224145535 1
 
2.3%
20201228103614 1
 
2.3%
20111208153359 1
 
2.3%
20181024144650 1
 
2.3%
20150907155804 1
 
2.3%
20130516111030 1
 
2.3%
20210205113514 1
 
2.3%
20210427140658 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
20100427095918 1
2.3%
20100427142707 1
2.3%
20100706134855 1
2.3%
20101028133729 1
2.3%
20101111135046 1
2.3%
20111030141743 1
2.3%
20111030145100 1
2.3%
20111125182349 1
2.3%
20111125182427 1
2.3%
20111208153359 1
2.3%
ValueCountFrequency (%)
20220414181043 1
2.3%
20220318111748 1
2.3%
20211214184754 1
2.3%
20211130093757 1
2.3%
20211110131505 1
2.3%
20210813105319 1
2.3%
20210520135756 1
2.3%
20210507090216 1
2.3%
20210427140658 1
2.3%
20210205113514 1
2.3%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
I
40 
U
 
4

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 40
90.9%
U 4
 
9.1%

Length

2024-04-22T01:53:38.513502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:53:38.688300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 40
90.9%
u 4
 
9.1%

데이터갱신일자
Date

Distinct22
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size480.0 B
Minimum2018-08-31 23:59:59
Maximum2022-04-16 00:22:33
2024-04-22T01:53:38.854965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T01:53:39.061313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)90.2%
Missing3
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean343652.51
Minimum336653.74
Maximum354954.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-22T01:53:39.271083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum336653.74
5-th percentile338868.49
Q1341490.79
median343843.93
Q3345350.42
95-th percentile348304.52
Maximum354954.68
Range18300.939
Interquartile range (IQR)3859.6331

Descriptive statistics

Standard deviation3578.4893
Coefficient of variation (CV)0.010413104
Kurtosis1.6078198
Mean343652.51
Median Absolute Deviation (MAD)1582.8998
Skewness0.72899756
Sum14089753
Variance12805586
MonotonicityNot monotonic
2024-04-22T01:53:39.515216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
342930.413533 2
 
4.5%
338868.491866 2
 
4.5%
342896.534692 2
 
4.5%
343843.928958 2
 
4.5%
343471.43921 1
 
2.3%
343021.396112 1
 
2.3%
340795.977161 1
 
2.3%
339360.500539 1
 
2.3%
336653.736413 1
 
2.3%
338349.790169 1
 
2.3%
Other values (27) 27
61.4%
(Missing) 3
 
6.8%
ValueCountFrequency (%)
336653.736413 1
2.3%
338349.790169 1
2.3%
338868.491866 2
4.5%
339360.500539 1
2.3%
339491.433148 1
2.3%
339522.233082 1
2.3%
339947.943498 1
2.3%
340718.253609 1
2.3%
340795.977161 1
2.3%
341490.789047 1
2.3%
ValueCountFrequency (%)
354954.675713 1
2.3%
351584.002356 1
2.3%
348304.515978 1
2.3%
348178.201157 1
2.3%
348162.596163 1
2.3%
346898.738695 1
2.3%
346671.596784 1
2.3%
345793.654979 1
2.3%
345426.828757 1
2.3%
345362.987975 1
2.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)90.2%
Missing3
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean264130.57
Minimum258571.99
Maximum272659.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-22T01:53:39.749404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum258571.99
5-th percentile259562.69
Q1261834.99
median264469.88
Q3265316.93
95-th percentile269932.23
Maximum272659.98
Range14087.989
Interquartile range (IQR)3481.9429

Descriptive statistics

Standard deviation3248.4754
Coefficient of variation (CV)0.012298748
Kurtosis0.31538212
Mean264130.57
Median Absolute Deviation (MAD)1936.1873
Skewness0.5871863
Sum10829354
Variance10552592
MonotonicityNot monotonic
2024-04-22T01:53:39.980422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
264710.290236 2
 
4.5%
268226.271091 2
 
4.5%
262605.751582 2
 
4.5%
264721.595597 2
 
4.5%
264558.069261 1
 
2.3%
262935.393992 1
 
2.3%
261627.701492 1
 
2.3%
260479.646796 1
 
2.3%
259722.526822 1
 
2.3%
261157.45282 1
 
2.3%
Other values (27) 27
61.4%
(Missing) 3
 
6.8%
ValueCountFrequency (%)
258571.985643 1
2.3%
259065.976417 1
2.3%
259562.689567 1
2.3%
259722.526822 1
2.3%
260217.87376 1
2.3%
260479.646796 1
2.3%
260858.238091 1
2.3%
261157.45282 1
2.3%
261186.541136 1
2.3%
261627.701492 1
2.3%
ValueCountFrequency (%)
272659.975074 1
2.3%
271486.362849 1
2.3%
269932.234133 1
2.3%
268408.951404 1
2.3%
268226.271091 2
4.5%
267123.26065 1
2.3%
266472.27185 1
2.3%
266406.071124 1
2.3%
266280.681013 1
2.3%
265316.933688 1
2.3%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size480.0 B
영화제작업
44 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 44
100.0%

Length

2024-04-22T01:53:40.209649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:53:40.378236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 44
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

총층수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
<NA>
38 
0
6 

Length

Max length4
Median length4
Mean length3.5909091
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> 38
86.4%
0 6
 
13.6%

Length

2024-04-22T01:53:40.566065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:53:40.758399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
86.4%
0 6
 
13.6%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

시설면적
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
<NA>
38 
0
6 

Length

Max length4
Median length4
Mean length3.5909091
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> 38
86.4%
0 6
 
13.6%

Length

2024-04-22T01:53:40.955394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:53:41.146094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
86.4%
0 6
 
13.6%

지상층수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
<NA>
38 
0
6 

Length

Max length4
Median length4
Mean length3.5909091
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> 38
86.4%
0 6
 
13.6%

Length

2024-04-22T01:53:41.342477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:53:41.533763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
86.4%
0 6
 
13.6%

지하층수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
<NA>
38 
0
6 

Length

Max length4
Median length4
Mean length3.5909091
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> 38
86.4%
0 6
 
13.6%

Length

2024-04-22T01:53:41.729501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:53:41.921054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
86.4%
0 6
 
13.6%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

통로너비
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
<NA>
38 
0
6 

Length

Max length4
Median length4
Mean length3.5909091
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> 38
86.4%
0 6
 
13.6%

Length

2024-04-22T01:53:42.117228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:53:42.310039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
86.4%
0 6
 
13.6%

조명시설조도
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
<NA>
38 
0
6 

Length

Max length4
Median length4
Mean length3.5909091
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> 38
86.4%
0 6
 
13.6%

Length

2024-04-22T01:53:42.510290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:53:42.705227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
86.4%
0 6
 
13.6%

노래방실수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
<NA>
38 
0
6 

Length

Max length4
Median length4
Mean length3.5909091
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> 38
86.4%
0 6
 
13.6%

Length

2024-04-22T01:53:42.904696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:53:43.097301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
86.4%
0 6
 
13.6%

청소년실수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
<NA>
38 
0
6 

Length

Max length4
Median length4
Mean length3.5909091
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> 38
86.4%
0 6
 
13.6%

Length

2024-04-22T01:53:43.293778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:53:43.486823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
86.4%
0 6
 
13.6%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

총게임기수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size480.0 B
<NA>
38 
0
6 

Length

Max length4
Median length4
Mean length3.5909091
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> 38
86.4%
0 6
 
13.6%

Length

2024-04-22T01:53:43.685001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:53:43.883382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
86.4%
0 6
 
13.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

최초등록시점
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20132289
Minimum19990918
Maximum20220414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size524.0 B
2024-04-22T01:53:44.081180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990918
5-th percentile19994049
Q120068441
median20150718
Q320191018
95-th percentile20211127
Maximum20220414
Range229496
Interquartile range (IQR)122577.25

Descriptive statistics

Standard deviation75576.515
Coefficient of variation (CV)0.0037539951
Kurtosis-1.0040705
Mean20132289
Median Absolute Deviation (MAD)50254.5
Skewness-0.6865506
Sum8.8582073 × 108
Variance5.7118097 × 109
MonotonicityNot monotonic
2024-04-22T01:53:44.329533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
20140321 1
 
2.3%
20160406 1
 
2.3%
20090130 1
 
2.3%
20201228 1
 
2.3%
19991214 1
 
2.3%
20181024 1
 
2.3%
20150907 1
 
2.3%
20090309 1
 
2.3%
20070911 1
 
2.3%
20210427 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
19990918 1
2.3%
19991119 1
2.3%
19991214 1
2.3%
20010112 1
2.3%
20020326 1
2.3%
20020411 1
2.3%
20020716 1
2.3%
20021001 1
2.3%
20031201 1
2.3%
20040920 1
2.3%
ValueCountFrequency (%)
20220414 1
2.3%
20211214 1
2.3%
20211130 1
2.3%
20211110 1
2.3%
20210813 1
2.3%
20210504 1
2.3%
20210427 1
2.3%
20201228 1
2.3%
20200716 1
2.3%
20200330 1
2.3%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size524.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01영화제작업03_13_05_P3410000CDFF521101201400000220140321<NA>3폐업3폐업20140617<NA><NA><NA><NA><NA><NA>대구광역시 중구 포정동 **번지대구광역시 중구 경상감영길 *** (포정동, 무궁화백화점***호)700010대구영상20140617171806I2018-08-31 23:59:59.0<NA>343843.928958264721.595597영화제작업<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>
12영화제작업03_13_05_P3410000CDFF521101200100000120010112<NA>1영업/정상13영업중<NA><NA><NA><NA>053-426-3991<NA>700413대구광역시 중구 삼덕동*가 ***-*번지 덕영빌딩 *층<NA><NA>바바루픽쳐스20100706134855I2018-08-31 23:59:59.0<NA><NA><NA>영화제작업<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>20010112<NA>
23영화제작업03_13_05_P3410000CDFF521101200200000120020326<NA>1영업/정상13영업중<NA><NA><NA><NA>053-257-8740<NA><NA>대구광역시 중구 대봉동 ***-**번지 서전빌딩 ***호대구광역시 중구 동덕로 ** (대봉동)700811씨네비젼20111125182349I2018-08-31 23:59:59.0<NA>344878.417284262991.921654영화제작업<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>20020326<NA>
34영화제작업03_13_05_P3410000CDFF521101200200000220021001<NA>1영업/정상13영업중<NA><NA><NA><NA>053-424-7055<NA><NA>대구광역시 중구 화전동 **-**번지 *층대구광역시 중구 교동길 * (화전동)700100(주)엔에스엘무비20111125182427I2018-08-31 23:59:59.0<NA>343954.047468264824.100818영화제작업<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>
45영화제작업03_13_05_P3410000CDFF521101199900000119990918<NA>1영업/정상13영업중<NA><NA><NA><NA>053-423-8121<NA><NA>대구광역시 중구 삼덕동*가 *-**번지대구광역시 중구 동성로*길 *-** (삼덕동*가)700411세라필름20111030141743I2018-08-31 23:59:59.0<NA>344031.621256264271.888889영화제작업<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>19990918<NA>
56영화제작업03_13_05_P3410000CDFF521101201400000120140319<NA>1영업/정상13영업중<NA><NA><NA><NA>0532547108<NA><NA>대구광역시 중구 포정동 **번지 무궁화백화점***호대구광역시 중구 경상감영길 *** (포정동, 무궁화백화점***호)700010중앙영상20140319093835I2018-08-31 23:59:59.0<NA>343843.928958264721.595597영화제작업<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>20140319<NA>
67영화제작업03_13_05_P3410000CDFF521101202100000120191015<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동*가 ***-** 단독주택(다가구)대구광역시 중구 동덕로**길 ***-*, 파크빌 ***호 (동인동*가)41907주식회사 콘텐츠페어20210520135756U2021-05-22 02:40:00.0<NA>345350.422154264469.883831영화제작업<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>20191015<NA>
78영화제작업03_13_05_P3410000CDFF521101201900000120190110<NA>1영업/정상13영업중<NA><NA><NA><NA>053-425-3553<NA><NA>대구광역시 중구 수동 *-*번지대구광역시 중구 국채보상로 ***, *층 (수동)41919대구경북영화영상사회적협동조합20190110110350I2019-01-12 02:20:46.0<NA>343471.43921264558.069261영화제작업<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>
89영화제작업03_13_05_P3410000CDFF521101201900000220190730<NA>1영업/정상13영업중<NA><NA><NA><NA>053-255-6646<NA><NA>대구광역시 중구 봉산동 **-*번지대구광역시 중구 동성로*길 **-**, *층 (봉산동)41942이든홀딩스20190730182731I2019-08-01 02:21:51.0<NA>344167.143409264094.88979영화제작업<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>20190730<NA>
910영화제작업03_13_05_P3410000CDFF521101202200000220220414<NA>1영업/정상13영업중<NA><NA><NA><NA>0536294424<NA><NA>대구광역시 중구 시장북로 **-*대구광역시 중구 서성로**길 **-*, *층 (시장북로)41921협동조합 컨티뉴이티20220414181043I2022-04-16 00:22:33.0<NA>342930.413533264710.290236영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20220414<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
3435영화제작업03_13_05_P3450000CDFF521101201900000120190621<NA>1영업/정상13영업중<NA><NA><NA><NA>1661-5680<NA><NA>대구광역시 북구 태전동 ***-**번지대구광역시 북구 학정로 ***-* (태전동)41484주식회사 아트판타지아20190621101647I2019-06-23 02:21:37.0<NA>339947.943498269932.234133영화제작업<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>20190621<NA>
3536영화제작업03_13_05_P3460000CDFF521101202100000220210813<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7602-3113<NA><NA>대구광역시 수성구 상동 *** 수성동일하이빌레이크시티아파트대구광역시 수성구 수성로 **, ***동 ****호 (상동, 수성동일하이빌레이크시티아파트)42166유컴퍼니 유한회사20210813105319I2021-08-15 00:23:01.0<NA>345362.987975260217.87376영화제작업<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>
3637영화제작업03_13_05_P3460000CDFF521101200300000120031201<NA>1영업/정상13영업중<NA><NA><NA><NA>053-629-0304<NA><NA>대구광역시 수성구 파동 ***-**번지 ***호대구광역시 수성구 파동로**길 **, ***호 (파동)<NA>(주)자우엔터테인먼트20101028133729I2018-08-31 23:59:59.0<NA>345793.654979258571.985643영화제작업<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>20031201<NA>
3738영화제작업03_13_05_P3460000CDFF521101201900000120150528<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 대흥동 ***-*번지 SW융합테크비즈센터대구광역시 수성구 알파시티*로 ***, SW융합테크비즈센터 ***호 (대흥동)42250주식회사 프리즘미디어20190919090033I2019-09-20 02:22:31.0<NA><NA><NA>영화제작업<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>20150528<NA>
3839영화제작업03_13_05_P3460000CDFF521101202100000320211214<NA>1영업/정상13영업중<NA><NA><NA><NA>053-768-0135<NA><NA>대구광역시 수성구 범물동 ****-* (주)한국상업은행범물동지점대구광역시 수성구 지범로 ***, *층 ***호 (범물동)42209주식회사 도바킨20211214184754I2021-12-16 00:22:43.0<NA>348178.201157259065.976417영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20211214<NA>
3940영화제작업03_13_05_P3470000CDFF521101201400000120140107<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 송현동 ****번지 *동 ***호대구광역시 달서구 송현로**길 ** (송현동)704873가람필름20140107131803I2018-08-31 23:59:59.0<NA>339491.433148259562.689567영화제작업<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>20140107<NA>
4041영화제작업03_13_05_P3470000CDFF521101200200000120020411<NA>1영업/정상13영업중<NA><NA><NA><NA>053-521-6734<NA><NA>대구광역시 달서구 본리동 ***번지 현대백조 ***동 ***호대구광역시 달서구 와룡로**길 **, ***동 ***호 (본리동,현대백조)<NA>아틀란티스엔터테인먼트20101111135046I2018-08-31 23:59:59.0<NA>338349.790169261157.45282영화제작업<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>20020411<NA>
4142영화제작업03_13_05_P3470000CDFF521101200600000120061031<NA>1영업/정상13영업중<NA><NA><NA><NA>02-787-2950<NA><NA>대구광역시 달서구 월암동 ***-*번지대구광역시 달서구 성서공단남로**길 **-** (월암동)704833(주)아이메카20111030145100I2018-08-31 23:59:59.0<NA>336653.736413259722.526822영화제작업<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>20061031<NA>
4243영화제작업03_13_05_P3470000CDFF521101201800000120170512<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 본동 ***번지 대구공업대학교대구광역시 달서구 송현로 ***, 대구공업대학교 창업보육센터 ***호 (본동)42734(주)영화사삼형제20191125160232U2019-11-27 02:40:00.0<NA>339360.500539260479.646796영화제작업<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>20170512<NA>
4344영화제작업03_13_05_P3470000CDFF521101202000000120200716<NA>1영업/정상13영업중<NA><NA><NA><NA>053-606-6346<NA><NA>대구광역시 달서구 성당동 *** 대구광역시문화예술회관대구광역시 달서구 공원순환로 *** (성당동)42672대구광역시문화예술회관20200716091005I2020-07-18 00:23:15.0<NA>340795.977161261627.701492영화제작업<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>20200716<NA>