Overview

Dataset statistics

Number of variables59
Number of observations43
Missing cells1156
Missing cells (%)45.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.9 KiB
Average record size in memory522.1 B

Variable types

Numeric8
Categorical20
Text5
Unsupported26

Dataset

Description6270000_대구광역시_03_13_05_P_영화제작업_1월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092271&dataSetDetailId=DDI_0000092268&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (72.9%)Imbalance
영업상태명 is highly imbalanced (72.9%)Imbalance
상세영업상태코드 is highly imbalanced (72.9%)Imbalance
상세영업상태명 is highly imbalanced (72.9%)Imbalance
폐업일자 is highly imbalanced (84.1%)Imbalance
소재지우편번호 is highly imbalanced (76.2%)Imbalance
데이터갱신구분 is highly imbalanced (55.4%)Imbalance
총층수 is highly imbalanced (55.4%)Imbalance
시설면적 is highly imbalanced (55.4%)Imbalance
지상층수 is highly imbalanced (55.4%)Imbalance
지하층수 is highly imbalanced (55.4%)Imbalance
통로너비 is highly imbalanced (55.4%)Imbalance
조명시설조도 is highly imbalanced (55.4%)Imbalance
노래방실수 is highly imbalanced (55.4%)Imbalance
청소년실수 is highly imbalanced (55.4%)Imbalance
총게임기수 is highly imbalanced (55.4%)Imbalance
인허가취소일자 has 43 (100.0%) missing valuesMissing
휴업시작일자 has 43 (100.0%) missing valuesMissing
휴업종료일자 has 43 (100.0%) missing valuesMissing
재개업일자 has 43 (100.0%) missing valuesMissing
소재지전화 has 24 (55.8%) missing valuesMissing
소재지면적 has 43 (100.0%) missing valuesMissing
도로명전체주소 has 2 (4.7%) missing valuesMissing
도로명우편번호 has 6 (14.0%) missing valuesMissing
업태구분명 has 43 (100.0%) missing valuesMissing
좌표정보(X) has 3 (7.0%) missing valuesMissing
좌표정보(Y) has 3 (7.0%) missing valuesMissing
문화사업자구분명 has 43 (100.0%) missing valuesMissing
주변환경명 has 43 (100.0%) missing valuesMissing
제작취급품목내용 has 43 (100.0%) missing valuesMissing
건물용도명 has 43 (100.0%) missing valuesMissing
비상계단여부 has 43 (100.0%) missing valuesMissing
비상구여부 has 43 (100.0%) missing valuesMissing
자동환기여부 has 43 (100.0%) missing valuesMissing
청소년실여부 has 43 (100.0%) missing valuesMissing
특수조명여부 has 43 (100.0%) missing valuesMissing
방음시설여부 has 43 (100.0%) missing valuesMissing
비디오재생기명 has 43 (100.0%) missing valuesMissing
조명시설유무 has 43 (100.0%) missing valuesMissing
음향시설여부 has 43 (100.0%) missing valuesMissing
편의시설여부 has 43 (100.0%) missing valuesMissing
소방시설여부 has 43 (100.0%) missing valuesMissing
기존게임업외업종명 has 43 (100.0%) missing valuesMissing
제공게임물명 has 43 (100.0%) missing valuesMissing
공연장형태구분명 has 43 (100.0%) missing valuesMissing
품목명 has 43 (100.0%) missing valuesMissing
지역구분명 has 43 (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 started2023-12-10 20:02:59.996065
Analysis finished2023-12-10 20:03:00.879726
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-11T05:03:00.994364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q111.5
median22
Q332.5
95-th percentile40.9
Maximum43
Range42
Interquartile range (IQR)21

Descriptive statistics

Standard deviation12.556539
Coefficient of variation (CV)0.57075176
Kurtosis-1.2
Mean22
Median Absolute Deviation (MAD)11
Skewness0
Sum946
Variance157.66667
MonotonicityStrictly increasing
2023-12-11T05:03:01.189581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 1
 
2.3%
2 1
 
2.3%
25 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%
Other values (33) 33
76.7%
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 (%)
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%
34 1
2.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
영화제작업
43 

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 43
100.0%

Length

2023-12-11T05:03:01.372509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:01.528038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 43
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
03_13_05_P
43 

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 43
100.0%

Length

2023-12-11T05:03:01.680359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:01.811012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_13_05_p 43
100.0%

개방자치단체코드
Real number (ℝ)

Distinct6
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3436511.6
Minimum3410000
Maximum3470000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-11T05:03:01.920646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13415000
median3440000
Q33450000
95-th percentile3470000
Maximum3470000
Range60000
Interquartile range (IQR)35000

Descriptive statistics

Standard deviation21479.084
Coefficient of variation (CV)0.0062502579
Kurtosis-1.4203844
Mean3436511.6
Median Absolute Deviation (MAD)20000
Skewness0.084682645
Sum1.4777 × 108
Variance4.6135105 × 108
MonotonicityIncreasing
2023-12-11T05:03:02.088187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3410000 11
25.6%
3440000 8
18.6%
3420000 7
16.3%
3450000 7
16.3%
3460000 5
11.6%
3470000 5
11.6%
ValueCountFrequency (%)
3410000 11
25.6%
3420000 7
16.3%
3440000 8
18.6%
3450000 7
16.3%
3460000 5
11.6%
3470000 5
11.6%
ValueCountFrequency (%)
3470000 5
11.6%
3460000 5
11.6%
3450000 7
16.3%
3440000 8
18.6%
3420000 7
16.3%
3410000 11
25.6%

관리번호
Text

Distinct23
Distinct (%)53.5%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-11T05:03:02.405064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters860
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

Unique13 ?
Unique (%)30.2%

Sample

1st rowCDFF5211012014000002
2nd rowCDFF5211012001000001
3rd rowCDFF5211012002000001
4th rowCDFF5211012002000002
5th rowCDFF5211011999000001
ValueCountFrequency (%)
cdff5211012021000001 5
 
11.6%
cdff5211012019000001 5
 
11.6%
cdff5211012014000001 4
 
9.3%
cdff5211012002000001 3
 
7.0%
cdff5211011999000001 3
 
7.0%
cdff5211012014000002 2
 
4.7%
cdff5211012018000001 2
 
4.7%
cdff5211012019000002 2
 
4.7%
cdff5211012021000002 2
 
4.7%
cdff5211012009000001 2
 
4.7%
Other values (13) 13
30.2%
2023-12-11T05:03:02.931647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 311
36.2%
1 192
22.3%
2 108
 
12.6%
F 86
 
10.0%
5 44
 
5.1%
C 43
 
5.0%
D 43
 
5.0%
9 18
 
2.1%
4 7
 
0.8%
8 2
 
0.2%
Other values (3) 6
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 688
80.0%
Uppercase Letter 172
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 311
45.2%
1 192
27.9%
2 108
 
15.7%
5 44
 
6.4%
9 18
 
2.6%
4 7
 
1.0%
8 2
 
0.3%
7 2
 
0.3%
6 2
 
0.3%
3 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 86
50.0%
C 43
25.0%
D 43
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 688
80.0%
Latin 172
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 311
45.2%
1 192
27.9%
2 108
 
15.7%
5 44
 
6.4%
9 18
 
2.6%
4 7
 
1.0%
8 2
 
0.3%
7 2
 
0.3%
6 2
 
0.3%
3 2
 
0.3%
Latin
ValueCountFrequency (%)
F 86
50.0%
C 43
25.0%
D 43
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 311
36.2%
1 192
22.3%
2 108
 
12.6%
F 86
 
10.0%
5 44
 
5.1%
C 43
 
5.0%
D 43
 
5.0%
9 18
 
2.1%
4 7
 
0.8%
8 2
 
0.2%
Other values (3) 6
 
0.7%

인허가일자
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20130240
Minimum19990918
Maximum20211214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-11T05:03:03.171156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990918
5-th percentile19993104
Q120065971
median20150528
Q320190872
95-th percentile20211080
Maximum20211214
Range220296
Interquartile range (IQR)124901.5

Descriptive statistics

Standard deviation75223.676
Coefficient of variation (CV)0.0037368495
Kurtosis-1.0432108
Mean20130240
Median Absolute Deviation (MAD)50188
Skewness-0.66803134
Sum8.6560032 × 108
Variance5.6586015 × 109
MonotonicityNot monotonic
2023-12-11T05:03:03.376954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
20140321 1
 
2.3%
20010112 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%
19991119 1
 
2.3%
Other values (33) 33
76.7%
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 (%)
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%
20191028 1
2.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

영업상태구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
1
41 
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 41
95.3%
3 2
 
4.7%

Length

2023-12-11T05:03:03.569911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:03.712463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 41
95.3%
3 2
 
4.7%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
영업/정상
41 
폐업
 
2

Length

Max length5
Median length5
Mean length4.8604651
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 41
95.3%
폐업 2
 
4.7%

Length

2023-12-11T05:03:03.880285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:04.045447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 41
95.3%
폐업 2
 
4.7%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
13
41 
3
 
2

Length

Max length2
Median length2
Mean length1.9534884
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 41
95.3%
3 2
 
4.7%

Length

2023-12-11T05:03:04.224685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:04.382632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 41
95.3%
3 2
 
4.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
영업중
41 
폐업
 
2

Length

Max length3
Median length3
Mean length2.9534884
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 41
95.3%
폐업 2
 
4.7%

Length

2023-12-11T05:03:04.549668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:05.058914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 41
95.3%
폐업 2
 
4.7%

폐업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
42 
20140617
 
1

Length

Max length8
Median length4
Mean length4.0930233
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> 42
97.7%
20140617 1
 
2.3%

Length

2023-12-11T05:03:05.227414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:05.403289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
97.7%
20140617 1
 
2.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

소재지전화
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing24
Missing (%)55.8%
Memory size476.0 B
2023-12-11T05:03:05.606689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.736842
Min length9

Characters and Unicode

Total characters223
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

Unique19 ?
Unique (%)100.0%

Sample

1st row053-426-3991
2nd row053-257-8740
3rd row053-424-7055
4th row053-423-8121
5th row053-425-3553
ValueCountFrequency (%)
053-426-3991 1
 
5.3%
053-942-8112 1
 
5.3%
053-521-6734 1
 
5.3%
02-787-2950 1
 
5.3%
070-7602-3113 1
 
5.3%
053-768-0135 1
 
5.3%
053-629-0304 1
 
5.3%
1661-5680 1
 
5.3%
053-628-0144 1
 
5.3%
02-3444-2289 1
 
5.3%
Other values (9) 9
47.4%
2023-12-11T05:03:06.107377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 35
15.7%
0 30
13.5%
5 28
12.6%
3 26
11.7%
4 22
9.9%
2 22
9.9%
6 17
7.6%
1 14
 
6.3%
7 11
 
4.9%
8 11
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 188
84.3%
Dash Punctuation 35
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
16.0%
5 28
14.9%
3 26
13.8%
4 22
11.7%
2 22
11.7%
6 17
9.0%
1 14
7.4%
7 11
 
5.9%
8 11
 
5.9%
9 7
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 223
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 35
15.7%
0 30
13.5%
5 28
12.6%
3 26
11.7%
4 22
9.9%
2 22
9.9%
6 17
7.6%
1 14
 
6.3%
7 11
 
4.9%
8 11
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 223
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 35
15.7%
0 30
13.5%
5 28
12.6%
3 26
11.7%
4 22
9.9%
2 22
9.9%
6 17
7.6%
1 14
 
6.3%
7 11
 
4.9%
8 11
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
40 
700413
 
1
702717
 
1
702812
 
1

Length

Max length6
Median length4
Mean length4.1395349
Min length4

Unique

Unique3 ?
Unique (%)7.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 40
93.0%
700413 1
 
2.3%
702717 1
 
2.3%
702812 1
 
2.3%

Length

2023-12-11T05:03:06.321024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:06.488503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
93.0%
700413 1
 
2.3%
702717 1
 
2.3%
702812 1
 
2.3%

소재지전체주소
Text

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-11T05:03:06.779495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length26.232558
Min length18

Characters and Unicode

Total characters1128
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

Unique41 ?
Unique (%)95.3%

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 43
20.3%
번지 32
15.1%
중구 11
 
5.2%
11
 
5.2%
호 10
 
4.7%
남구 8
 
3.8%
동구 7
 
3.3%
북구 7
 
3.3%
대명동 6
 
2.8%
달서구 5
 
2.4%
Other values (55) 72
34.0%
2023-12-11T05:03:07.276126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 233
20.7%
202
17.9%
구 91
 
8.1%
동 62
 
5.5%
대 57
 
5.1%
시 46
 
4.1%
역 45
 
4.0%
광 44
 
3.9%
지 35
 
3.1%
번 32
 
2.8%
Other values (116) 281
24.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 657
58.2%
Other Punctuation 233
 
20.7%
Space Separator 202
 
17.9%
Dash Punctuation 30
 
2.7%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 91
13.9%
동 62
 
9.4%
대 57
 
8.7%
시 46
 
7.0%
역 45
 
6.8%
광 44
 
6.7%
지 35
 
5.3%
번 32
 
4.9%
중 11
 
1.7%
호 11
 
1.7%
Other values (109) 223
33.9%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
W 1
50.0%
Other Punctuation
ValueCountFrequency (%)
* 233
100.0%
Space Separator
ValueCountFrequency (%)
202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 657
58.2%
Common 469
41.6%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 91
13.9%
동 62
 
9.4%
대 57
 
8.7%
시 46
 
7.0%
역 45
 
6.8%
광 44
 
6.7%
지 35
 
5.3%
번 32
 
4.9%
중 11
 
1.7%
호 11
 
1.7%
Other values (109) 223
33.9%
Common
ValueCountFrequency (%)
* 233
49.7%
202
43.1%
- 30
 
6.4%
( 2
 
0.4%
) 2
 
0.4%
Latin
ValueCountFrequency (%)
S 1
50.0%
W 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 657
58.2%
ASCII 471
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 233
49.5%
202
42.9%
- 30
 
6.4%
( 2
 
0.4%
) 2
 
0.4%
S 1
 
0.2%
W 1
 
0.2%
Hangul
ValueCountFrequency (%)
구 91
13.9%
동 62
 
9.4%
대 57
 
8.7%
시 46
 
7.0%
역 45
 
6.8%
광 44
 
6.7%
지 35
 
5.3%
번 32
 
4.9%
중 11
 
1.7%
호 11
 
1.7%
Other values (109) 223
33.9%

도로명전체주소
Text

MISSING 

Distinct38
Distinct (%)92.7%
Missing2
Missing (%)4.7%
Memory size476.0 B
2023-12-11T05:03:07.646318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39
Mean length32.365854
Min length20

Characters and Unicode

Total characters1327
Distinct characters143
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

Unique35 ?
Unique (%)85.4%

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 동덕로**길 ***-*, 파크빌 ***호 (동인동*가)
ValueCountFrequency (%)
대구광역시 41
 
16.0%
41
 
16.0%
호 17
 
6.6%
중구 10
 
3.9%
층 10
 
3.9%
북구 7
 
2.7%
동 7
 
2.7%
동구 7
 
2.7%
남구 7
 
2.7%
대명동 5
 
1.9%
Other values (87) 105
40.9%
2023-12-11T05:03:08.188849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 241
18.2%
218
16.4%
구 88
 
6.6%
동 70
 
5.3%
대 55
 
4.1%
시 44
 
3.3%
역 42
 
3.2%
광 41
 
3.1%
) 41
 
3.1%
( 41
 
3.1%
Other values (133) 446
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 735
55.4%
Other Punctuation 280
 
21.1%
Space Separator 218
 
16.4%
Close Punctuation 41
 
3.1%
Open Punctuation 41
 
3.1%
Dash Punctuation 10
 
0.8%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 88
 
12.0%
동 70
 
9.5%
대 55
 
7.5%
시 44
 
6.0%
역 42
 
5.7%
광 41
 
5.6%
로 37
 
5.0%
길 19
 
2.6%
호 19
 
2.6%
성 14
 
1.9%
Other values (125) 306
41.6%
Other Punctuation
ValueCountFrequency (%)
* 241
86.1%
, 39
 
13.9%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
W 1
50.0%
Space Separator
ValueCountFrequency (%)
218
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 735
55.4%
Common 590
44.5%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 88
 
12.0%
동 70
 
9.5%
대 55
 
7.5%
시 44
 
6.0%
역 42
 
5.7%
광 41
 
5.6%
로 37
 
5.0%
길 19
 
2.6%
호 19
 
2.6%
성 14
 
1.9%
Other values (125) 306
41.6%
Common
ValueCountFrequency (%)
* 241
40.8%
218
36.9%
) 41
 
6.9%
( 41
 
6.9%
, 39
 
6.6%
- 10
 
1.7%
Latin
ValueCountFrequency (%)
S 1
50.0%
W 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 735
55.4%
ASCII 592
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 241
40.7%
218
36.8%
) 41
 
6.9%
( 41
 
6.9%
, 39
 
6.6%
- 10
 
1.7%
S 1
 
0.2%
W 1
 
0.2%
Hangul
ValueCountFrequency (%)
구 88
 
12.0%
동 70
 
9.5%
대 55
 
7.5%
시 44
 
6.0%
역 42
 
5.7%
광 41
 
5.6%
로 37
 
5.0%
길 19
 
2.6%
호 19
 
2.6%
성 14
 
1.9%
Other values (125) 306
41.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)91.9%
Missing6
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean309800.3
Minimum41047
Maximum705824
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-11T05:03:08.369848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41047
5-th percentile41247.4
Q141919
median42437
Q3701788
95-th percentile705176.6
Maximum705824
Range664777
Interquartile range (IQR)659869

Descriptive statistics

Standard deviation328857.97
Coefficient of variation (CV)1.061516
Kurtosis-1.9468234
Mean309800.3
Median Absolute Deviation (MAD)990
Skewness0.4018635
Sum11462611
Variance1.0814756 × 1011
MonotonicityNot monotonic
2023-12-11T05:03:08.527336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
41907 2
 
4.7%
41485 2
 
4.7%
700010 2
 
4.7%
700411 1
 
2.3%
700100 1
 
2.3%
704873 1
 
2.3%
42672 1
 
2.3%
42734 1
 
2.3%
704833 1
 
2.3%
42166 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 6
 
14.0%
ValueCountFrequency (%)
41047 1
2.3%
41213 1
2.3%
41256 1
2.3%
41447 1
2.3%
41484 1
2.3%
41485 2
4.7%
41907 2
4.7%
41919 1
2.3%
41921 1
2.3%
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 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-11T05:03:08.751906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length7.4883721
Min length2

Characters and Unicode

Total characters322
Distinct characters154
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

Unique43 ?
Unique (%)100.0%

Sample

1st row대구영상
2nd row바바루픽쳐스
3rd row씨네비젼
4th row(주)엔에스엘무비
5th row세라필름
ValueCountFrequency (%)
주식회사 5
 
9.3%
대구영상 1
 
1.9%
신원필름 1
 
1.9%
픽처스 1
 
1.9%
디컬리전 1
 
1.9%
주)매직웍스 1
 
1.9%
대명필름 1
 
1.9%
브레드프로덕션 1
 
1.9%
엠피즈 1
 
1.9%
한신공영(주 1
 
1.9%
Other values (40) 40
74.1%
2023-12-11T05:03:09.143829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 13
 
4.0%
11
 
3.4%
사 10
 
3.1%
회 9
 
2.8%
) 9
 
2.8%
( 9
 
2.8%
영 8
 
2.5%
스 7
 
2.2%
대 6
 
1.9%
이 5
 
1.6%
Other values (144) 235
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 264
82.0%
Uppercase Letter 18
 
5.6%
Space Separator 11
 
3.4%
Close Punctuation 9
 
2.8%
Open Punctuation 9
 
2.8%
Lowercase Letter 8
 
2.5%
Decimal Number 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 13
 
4.9%
사 10
 
3.8%
회 9
 
3.4%
영 8
 
3.0%
스 7
 
2.7%
대 6
 
2.3%
이 5
 
1.9%
름 5
 
1.9%
화 5
 
1.9%
필 5
 
1.9%
Other values (119) 191
72.3%
Uppercase Letter
ValueCountFrequency (%)
A 2
11.1%
N 2
11.1%
S 2
11.1%
I 2
11.1%
T 1
 
5.6%
E 1
 
5.6%
R 1
 
5.6%
U 1
 
5.6%
C 1
 
5.6%
P 1
 
5.6%
Other values (4) 4
22.2%
Lowercase Letter
ValueCountFrequency (%)
l 2
25.0%
e 2
25.0%
i 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 (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 264
82.0%
Common 32
 
9.9%
Latin 26
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 13
 
4.9%
사 10
 
3.8%
회 9
 
3.4%
영 8
 
3.0%
스 7
 
2.7%
대 6
 
2.3%
이 5
 
1.9%
름 5
 
1.9%
화 5
 
1.9%
필 5
 
1.9%
Other values (119) 191
72.3%
Latin
ValueCountFrequency (%)
l 2
 
7.7%
A 2
 
7.7%
N 2
 
7.7%
S 2
 
7.7%
e 2
 
7.7%
I 2
 
7.7%
i 2
 
7.7%
T 1
 
3.8%
E 1
 
3.8%
R 1
 
3.8%
Other values (9) 9
34.6%
Common
ValueCountFrequency (%)
11
34.4%
) 9
28.1%
( 9
28.1%
8 1
 
3.1%
1 1
 
3.1%
2 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 264
82.0%
ASCII 58
 
18.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 13
 
4.9%
사 10
 
3.8%
회 9
 
3.4%
영 8
 
3.0%
스 7
 
2.7%
대 6
 
2.3%
이 5
 
1.9%
름 5
 
1.9%
화 5
 
1.9%
필 5
 
1.9%
Other values (119) 191
72.3%
ASCII
ValueCountFrequency (%)
11
19.0%
) 9
15.5%
( 9
15.5%
l 2
 
3.4%
A 2
 
3.4%
N 2
 
3.4%
S 2
 
3.4%
e 2
 
3.4%
I 2
 
3.4%
i 2
 
3.4%
Other values (15) 15
25.9%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0160525 × 1013
Minimum2.0100427 × 1013
Maximum2.0211214 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-11T05:03:09.333867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0100427 × 1013
5-th percentile2.0100738 × 1013
Q12.0125809 × 1013
median2.0160406 × 1013
Q32.0195921 × 1013
95-th percentile2.021108 × 1013
Maximum2.0211214 × 1013
Range1.1078709 × 1011
Interquartile range (IQR)7.0111525 × 1010

Descriptive statistics

Standard deviation4.0979226 × 1010
Coefficient of variation (CV)0.0020326467
Kurtosis-1.5838591
Mean2.0160525 × 1013
Median Absolute Deviation (MAD)3.930409 × 1010
Skewness-0.13168056
Sum8.6690259 × 1014
Variance1.6792969 × 1021
MonotonicityNot monotonic
2023-12-11T05:03:09.489640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
20140617171806 1
 
2.3%
20100706134855 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%
20130516110855 1
 
2.3%
Other values (33) 33
76.7%
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 (%)
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%
20210323090817 1
2.3%
20210205113514 1
2.3%
20201228103614 1
2.3%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
I
39 
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 39
90.7%
U 4
 
9.3%

Length

2023-12-11T05:03:09.651759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:09.782008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 39
90.7%
u 4
 
9.3%

데이터갱신일자
Categorical

Distinct21
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Memory size476.0 B
2018-08-31 23:59:59.0
23 
2021-05-22 02:40:00.0
 
1
2019-01-12 02:20:46.0
 
1
2019-08-01 02:21:51.0
 
1
2021-11-12 00:22:45.0
 
1
Other values (16)
16 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique20 ?
Unique (%)46.5%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 23
53.5%
2021-05-22 02:40:00.0 1
 
2.3%
2019-01-12 02:20:46.0 1
 
2.3%
2019-08-01 02:21:51.0 1
 
2.3%
2021-11-12 00:22:45.0 1
 
2.3%
2019-10-30 00:23:03.0 1
 
2.3%
2021-12-02 00:22:43.0 1
 
2.3%
2019-05-05 02:20:38.0 1
 
2.3%
2021-05-09 00:23:06.0 1
 
2.3%
2019-06-12 02:40:00.0 1
 
2.3%
Other values (11) 11
25.6%

Length

2023-12-11T05:03:09.919456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 23
26.7%
23:59:59.0 23
26.7%
02:40:00.0 4
 
4.7%
00:23:06.0 2
 
2.3%
00:22:43.0 2
 
2.3%
2021-03-24 1
 
1.2%
2021-04-29 1
 
1.2%
00:23:08.0 1
 
1.2%
2019-06-23 1
 
1.2%
02:21:37.0 1
 
1.2%
Other values (27) 27
31.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)92.5%
Missing3
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean343756.52
Minimum336653.74
Maximum354954.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-11T05:03:10.037589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum336653.74
5-th percentile338842.56
Q1341317.09
median343843.93
Q3345378.95
95-th percentile348468.49
Maximum354954.68
Range18300.939
Interquartile range (IQR)4061.8621

Descriptive statistics

Standard deviation3683.5677
Coefficient of variation (CV)0.01071563
Kurtosis1.1701314
Mean343756.52
Median Absolute Deviation (MAD)1959.8001
Skewness0.64067021
Sum13750261
Variance13568671
MonotonicityNot monotonic
2023-12-11T05:03:10.175586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
342896.534692 2
 
4.7%
338868.491866 2
 
4.7%
343843.928958 2
 
4.7%
345350.422154 1
 
2.3%
345793.654979 1
 
2.3%
339522.233082 1
 
2.3%
345062.754182 1
 
2.3%
340718.253609 1
 
2.3%
341874.054709 1
 
2.3%
339947.943498 1
 
2.3%
Other values (27) 27
62.8%
(Missing) 3
 
7.0%
ValueCountFrequency (%)
336653.736413 1
2.3%
338349.790169 1
2.3%
338868.491866 2
4.7%
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%
347975.974719 1
2.3%
346898.738695 1
2.3%
346671.596784 1
2.3%
345793.654979 1
2.3%
345426.828757 1
2.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)92.5%
Missing3
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean264071
Minimum258571.99
Maximum272659.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-11T05:03:10.337094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum258571.99
5-th percentile259537.85
Q1261541.42
median264370.89
Q3265557.87
95-th percentile270009.94
Maximum272659.98
Range14087.989
Interquartile range (IQR)4016.4526

Descriptive statistics

Standard deviation3315.2545
Coefficient of variation (CV)0.012554406
Kurtosis0.19012904
Mean264071
Median Absolute Deviation (MAD)2207.2746
Skewness0.60764984
Sum10562840
Variance10990912
MonotonicityNot monotonic
2023-12-11T05:03:10.493222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
262605.751582 2
 
4.7%
268226.271091 2
 
4.7%
264721.595597 2
 
4.7%
264469.883831 1
 
2.3%
258571.985643 1
 
2.3%
271486.362849 1
 
2.3%
268408.951404 1
 
2.3%
272659.975074 1
 
2.3%
266472.27185 1
 
2.3%
269932.234133 1
 
2.3%
Other values (27) 27
62.8%
(Missing) 3
 
7.0%
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%
261282.567395 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
4.7%
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 size476.0 B
영화제작업
43 

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 43
100.0%

Length

2023-12-11T05:03:10.659946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:10.781390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 43
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
39 
0
4 

Length

Max length4
Median length4
Mean length3.7209302
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> 39
90.7%
0 4
 
9.3%

Length

2023-12-11T05:03:10.905806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:11.029499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
90.7%
0 4
 
9.3%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
39 
0
4 

Length

Max length4
Median length4
Mean length3.7209302
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> 39
90.7%
0 4
 
9.3%

Length

2023-12-11T05:03:11.172373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:11.331131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
90.7%
0 4
 
9.3%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
39 
0
4 

Length

Max length4
Median length4
Mean length3.7209302
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> 39
90.7%
0 4
 
9.3%

Length

2023-12-11T05:03:11.463385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:11.572052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
90.7%
0 4
 
9.3%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
39 
0
4 

Length

Max length4
Median length4
Mean length3.7209302
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> 39
90.7%
0 4
 
9.3%

Length

2023-12-11T05:03:11.686449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:11.814125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
90.7%
0 4
 
9.3%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
39 
0
4 

Length

Max length4
Median length4
Mean length3.7209302
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> 39
90.7%
0 4
 
9.3%

Length

2023-12-11T05:03:11.952223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:12.076077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
90.7%
0 4
 
9.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
39 
0
4 

Length

Max length4
Median length4
Mean length3.7209302
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> 39
90.7%
0 4
 
9.3%

Length

2023-12-11T05:03:12.191394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:12.318838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
90.7%
0 4
 
9.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
39 
0
4 

Length

Max length4
Median length4
Mean length3.7209302
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> 39
90.7%
0 4
 
9.3%

Length

2023-12-11T05:03:12.457013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:12.568742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
90.7%
0 4
 
9.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
39 
0
4 

Length

Max length4
Median length4
Mean length3.7209302
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> 39
90.7%
0 4
 
9.3%

Length

2023-12-11T05:03:12.682159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:12.823157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
90.7%
0 4
 
9.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
39 
0
4 

Length

Max length4
Median length4
Mean length3.7209302
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> 39
90.7%
0 4
 
9.3%

Length

2023-12-11T05:03:13.019116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:03:13.157748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
90.7%
0 4
 
9.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

최초등록시점
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20130240
Minimum19990918
Maximum20211214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-11T05:03:13.299031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990918
5-th percentile19993104
Q120065971
median20150528
Q320190872
95-th percentile20211080
Maximum20211214
Range220296
Interquartile range (IQR)124901.5

Descriptive statistics

Standard deviation75223.676
Coefficient of variation (CV)0.0037368495
Kurtosis-1.0432108
Mean20130240
Median Absolute Deviation (MAD)50188
Skewness-0.66803134
Sum8.6560032 × 108
Variance5.6586015 × 109
MonotonicityNot monotonic
2023-12-11T05:03:13.495215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
20140321 1
 
2.3%
20010112 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%
19991119 1
 
2.3%
Other values (33) 33
76.7%
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 (%)
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%
20191028 1
2.3%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 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_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>
67영화제작업03_13_05_P3410000CDFF521101201700000220170718<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동*가 ***-*번지 모던하이츠 ***호대구광역시 중구 국채보상로***길 **, ***호 (동인동*가, 모던하이츠)41907218언더그라운드20170718181721I2018-08-31 23:59:59.0<NA>345426.828757264477.270924영화제작업<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>20170718<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_P3410000CDFF521101202100000220211110<NA>1영업/정상13영업중<NA><NA><NA><NA>053-629-4424<NA><NA>대구광역시 중구 시장북로 **-*대구광역시 중구 서성로**길 **-*, *층 (시장북로)41921대구경북독립영화협회20211110131505I2021-11-12 00:22:45.0<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>20211110<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
3334영화제작업03_13_05_P3460000CDFF521101202100000120200330<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 황금동 *** 힐스테이트 황금동대구광역시 수성구 청수로 ***, ***동 ***호 (황금동, 힐스테이트 황금동)42179오시안 픽처스20210323090817I2021-03-24 00:23:10.0<NA>347975.974719261282.567395영화제작업<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>20200330<NA>
3435영화제작업03_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>
3536영화제작업03_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>
3637영화제작업03_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>
3738영화제작업03_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>
3839영화제작업03_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>
3940영화제작업03_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>
4041영화제작업03_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>
4142영화제작업03_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>
4243영화제작업03_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>