Overview

Dataset statistics

Number of variables59
Number of observations52
Missing cells1477
Missing cells (%)48.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.2 KiB
Average record size in memory516.5 B

Variable types

Numeric5
Categorical17
Text7
DateTime4
Unsupported26

Dataset

Description23년11월_6270000_대구광역시_03_13_03_P_영화상영업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000101352&dataSetDetailId=DDI_0000101366&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 has 52 (100.0%) missing valuesMissing
폐업일자 has 32 (61.5%) missing valuesMissing
휴업시작일자 has 52 (100.0%) missing valuesMissing
휴업종료일자 has 52 (100.0%) missing valuesMissing
재개업일자 has 52 (100.0%) missing valuesMissing
소재지전화 has 21 (40.4%) missing valuesMissing
소재지면적 has 52 (100.0%) missing valuesMissing
소재지우편번호 has 46 (88.5%) missing valuesMissing
도로명전체주소 has 6 (11.5%) missing valuesMissing
도로명우편번호 has 12 (23.1%) missing valuesMissing
업태구분명 has 52 (100.0%) missing valuesMissing
좌표정보(X) has 4 (7.7%) missing valuesMissing
좌표정보(Y) has 4 (7.7%) missing valuesMissing
문화사업자구분명 has 52 (100.0%) missing valuesMissing
주변환경명 has 52 (100.0%) missing valuesMissing
제작취급품목내용 has 52 (100.0%) missing valuesMissing
건물용도명 has 52 (100.0%) missing valuesMissing
비상계단여부 has 52 (100.0%) missing valuesMissing
비상구여부 has 52 (100.0%) missing valuesMissing
자동환기여부 has 52 (100.0%) missing valuesMissing
청소년실여부 has 52 (100.0%) missing valuesMissing
특수조명여부 has 52 (100.0%) missing valuesMissing
방음시설여부 has 52 (100.0%) missing valuesMissing
비디오재생기명 has 52 (100.0%) missing valuesMissing
조명시설유무 has 52 (100.0%) missing valuesMissing
음향시설여부 has 52 (100.0%) missing valuesMissing
편의시설여부 has 52 (100.0%) missing valuesMissing
소방시설여부 has 52 (100.0%) missing valuesMissing
기존게임업외업종명 has 52 (100.0%) missing valuesMissing
제공게임물명 has 52 (100.0%) missing valuesMissing
공연장형태구분명 has 52 (100.0%) missing valuesMissing
품목명 has 52 (100.0%) missing valuesMissing
지역구분명 has 52 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 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 started2023-12-16 04:49:30.795292
Analysis finished2023-12-16 04:49:32.471859
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.5
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-16T04:49:32.898962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.55
Q113.75
median26.5
Q339.25
95-th percentile49.45
Maximum52
Range51
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation15.154757
Coefficient of variation (CV)0.57187763
Kurtosis-1.2
Mean26.5
Median Absolute Deviation (MAD)13
Skewness0
Sum1378
Variance229.66667
MonotonicityStrictly increasing
2023-12-16T04:49:34.064582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
28 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%
43 1
1.9%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
영화상영업
52 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영업 52
100.0%

Length

2023-12-16T04:49:35.373383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:49:36.279798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영업 52
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
03_13_03_P
52 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_13_03_P
2nd row03_13_03_P
3rd row03_13_03_P
4th row03_13_03_P
5th row03_13_03_P

Common Values

ValueCountFrequency (%)
03_13_03_P 52
100.0%

Length

2023-12-16T04:49:36.752524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:49:37.609347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_13_03_p 52
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3434615.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-16T04:49:38.317691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3435000
Q33450000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation23965.788
Coefficient of variation (CV)0.0069777209
Kurtosis-1.4792583
Mean3434615.4
Median Absolute Deviation (MAD)25000
Skewness0.25377563
Sum1.786 × 108
Variance5.7435897 × 108
MonotonicityIncreasing
2023-12-16T04:49:38.987164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 21
40.4%
3450000 14
26.9%
3460000 5
 
9.6%
3420000 4
 
7.7%
3470000 4
 
7.7%
3480000 2
 
3.8%
3430000 1
 
1.9%
3440000 1
 
1.9%
ValueCountFrequency (%)
3410000 21
40.4%
3420000 4
 
7.7%
3430000 1
 
1.9%
3440000 1
 
1.9%
3450000 14
26.9%
3460000 5
 
9.6%
3470000 4
 
7.7%
3480000 2
 
3.8%
ValueCountFrequency (%)
3480000 2
 
3.8%
3470000 4
 
7.7%
3460000 5
 
9.6%
3450000 14
26.9%
3440000 1
 
1.9%
3430000 1
 
1.9%
3420000 4
 
7.7%
3410000 21
40.4%

관리번호
Text

Distinct39
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-16T04:49:39.856876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1040
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

Unique30 ?
Unique (%)57.7%

Sample

1st rowCDFF5211041999000006
2nd rowCDFF5211042017000001
3rd rowCDFF5211042000000002
4th rowCDFF5211042009000001
5th rowCDFF5211042011000001
ValueCountFrequency (%)
cdff5211042004000001 3
 
5.8%
cdff5211042018000001 3
 
5.8%
cdff5211042003000001 3
 
5.8%
cdff5211042000000001 3
 
5.8%
cdff5211042011000001 2
 
3.8%
cdff5211042015000001 2
 
3.8%
cdff5211042015000002 2
 
3.8%
cdff5211042009000001 2
 
3.8%
cdff5211042021000001 2
 
3.8%
cdff5211042012000001 1
 
1.9%
Other values (29) 29
55.8%
2023-12-16T04:49:41.663543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 375
36.1%
1 173
16.6%
2 110
 
10.6%
F 104
 
10.0%
4 58
 
5.6%
5 57
 
5.5%
C 52
 
5.0%
D 52
 
5.0%
9 41
 
3.9%
3 8
 
0.8%
Other values (3) 10
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 832
80.0%
Uppercase Letter 208
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 375
45.1%
1 173
20.8%
2 110
 
13.2%
4 58
 
7.0%
5 57
 
6.9%
9 41
 
4.9%
3 8
 
1.0%
8 4
 
0.5%
7 3
 
0.4%
6 3
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 104
50.0%
C 52
25.0%
D 52
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 832
80.0%
Latin 208
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 375
45.1%
1 173
20.8%
2 110
 
13.2%
4 58
 
7.0%
5 57
 
6.9%
9 41
 
4.9%
3 8
 
1.0%
8 4
 
0.5%
7 3
 
0.4%
6 3
 
0.4%
Latin
ValueCountFrequency (%)
F 104
50.0%
C 52
25.0%
D 52
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 375
36.1%
1 173
16.6%
2 110
 
10.6%
F 104
 
10.0%
4 58
 
5.6%
5 57
 
5.5%
C 52
 
5.0%
D 52
 
5.0%
9 41
 
3.9%
3 8
 
0.8%
Other values (3) 10
 
1.0%

인허가일자
Date

Distinct40
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum1999-08-10 00:00:00
Maximum2023-11-30 00:00:00
2023-12-16T04:49:42.343278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:49:43.153131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
1
30 
3
21 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 30
57.7%
3 21
40.4%
4 1
 
1.9%

Length

2023-12-16T04:49:43.709317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:49:44.429617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
57.7%
3 21
40.4%
4 1
 
1.9%

영업상태명
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
영업/정상
30 
폐업
21 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length3.9615385
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 30
57.7%
폐업 21
40.4%
취소/말소/만료/정지/중지 1
 
1.9%

Length

2023-12-16T04:49:44.900374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:49:45.576768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 30
57.7%
폐업 21
40.4%
취소/말소/만료/정지/중지 1
 
1.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
13
30 
3
21 
35
 
1

Length

Max length2
Median length2
Mean length1.5961538
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
13 30
57.7%
3 21
40.4%
35 1
 
1.9%

Length

2023-12-16T04:49:45.975466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:49:46.390255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 30
57.7%
3 21
40.4%
35 1
 
1.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
영업중
30 
폐업
21 
직권말소
 
1

Length

Max length4
Median length3
Mean length2.6153846
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 30
57.7%
폐업 21
40.4%
직권말소 1
 
1.9%

Length

2023-12-16T04:49:47.202661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:49:48.032308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 30
57.7%
폐업 21
40.4%
직권말소 1
 
1.9%

폐업일자
Date

MISSING 

Distinct20
Distinct (%)100.0%
Missing32
Missing (%)61.5%
Memory size548.0 B
Minimum2010-02-02 00:00:00
Maximum2022-12-27 00:00:00
2023-12-16T04:49:48.618465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:49:49.572077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

소재지전화
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing21
Missing (%)40.4%
Memory size548.0 B
2023-12-16T04:49:50.372945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.967742
Min length8

Characters and Unicode

Total characters340
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

Unique31 ?
Unique (%)100.0%

Sample

1st row053-425-2845
2nd row053-254-2900
3rd row053-600-2114
4th row02-3393-8896
5th row257-8989
ValueCountFrequency (%)
053-425-2845 1
 
3.2%
053-256-2228 1
 
3.2%
053-425-9414 1
 
3.2%
624-7590 1
 
3.2%
656-6655 1
 
3.2%
624-3691 1
 
3.2%
053-794-3844 1
 
3.2%
665-3081 1
 
3.2%
053-424-0030 1
 
3.2%
053-324-0500 1
 
3.2%
Other values (21) 21
67.7%
2023-12-16T04:49:52.276744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 54
15.9%
0 53
15.6%
3 44
12.9%
5 43
12.6%
2 39
11.5%
4 36
10.6%
6 18
 
5.3%
7 16
 
4.7%
8 14
 
4.1%
1 13
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 286
84.1%
Dash Punctuation 54
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53
18.5%
3 44
15.4%
5 43
15.0%
2 39
13.6%
4 36
12.6%
6 18
 
6.3%
7 16
 
5.6%
8 14
 
4.9%
1 13
 
4.5%
9 10
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 340
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 54
15.9%
0 53
15.6%
3 44
12.9%
5 43
12.6%
2 39
11.5%
4 36
10.6%
6 18
 
5.3%
7 16
 
4.7%
8 14
 
4.1%
1 13
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 54
15.9%
0 53
15.6%
3 44
12.9%
5 43
12.6%
2 39
11.5%
4 36
10.6%
6 18
 
5.3%
7 16
 
4.7%
8 14
 
4.1%
1 13
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

소재지우편번호
Text

MISSING 

Distinct5
Distinct (%)83.3%
Missing46
Missing (%)88.5%
Memory size548.0 B
2023-12-16T04:49:52.976400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters42
Distinct characters8
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

Unique4 ?
Unique (%)66.7%

Sample

1st row700-120
2nd row700-100
3rd row700-100
4th row700-082
5th row703-805
ValueCountFrequency (%)
700-100 2
33.3%
700-120 1
16.7%
700-082 1
16.7%
703-805 1
16.7%
702-851 1
16.7%
2023-12-16T04:49:54.485318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17
40.5%
7 6
 
14.3%
- 6
 
14.3%
1 4
 
9.5%
2 3
 
7.1%
8 3
 
7.1%
5 2
 
4.8%
3 1
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36
85.7%
Dash Punctuation 6
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
47.2%
7 6
 
16.7%
1 4
 
11.1%
2 3
 
8.3%
8 3
 
8.3%
5 2
 
5.6%
3 1
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17
40.5%
7 6
 
14.3%
- 6
 
14.3%
1 4
 
9.5%
2 3
 
7.1%
8 3
 
7.1%
5 2
 
4.8%
3 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17
40.5%
7 6
 
14.3%
- 6
 
14.3%
1 4
 
9.5%
2 3
 
7.1%
8 3
 
7.1%
5 2
 
4.8%
3 1
 
2.4%

소재지전체주소
Text

Distinct50
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-16T04:49:55.826492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29.5
Mean length21.961538
Min length15

Characters and Unicode

Total characters1142
Distinct characters100
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)92.3%

Sample

1st row대구광역시 중구 동성로1가 22-1
2nd row대구광역시 중구 봉산동 150-1번지 8층
3rd row대구광역시 중구 동성로2가 88-22번지
4th row대구광역시 중구 포정동 21-3번지 중앙상가 3층 315호
5th row대구광역시 중구 남일동 65-1번지
ValueCountFrequency (%)
대구광역시 52
22.4%
중구 21
 
9.1%
북구 14
 
6.0%
동천동 6
 
2.6%
수성구 5
 
2.2%
화전동 5
 
2.2%
달서구 4
 
1.7%
동구 4
 
1.7%
남일동 3
 
1.3%
1번지 2
 
0.9%
Other values (104) 116
50.0%
2023-12-16T04:49:57.429057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
228
20.0%
구 105
 
9.2%
동 60
 
5.3%
대 55
 
4.8%
광 52
 
4.6%
역 52
 
4.6%
시 52
 
4.6%
1 52
 
4.6%
지 39
 
3.4%
번 38
 
3.3%
Other values (90) 409
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 673
58.9%
Space Separator 228
 
20.0%
Decimal Number 205
 
18.0%
Dash Punctuation 36
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 105
15.6%
동 60
 
8.9%
대 55
 
8.2%
광 52
 
7.7%
역 52
 
7.7%
시 52
 
7.7%
지 39
 
5.8%
번 38
 
5.6%
중 23
 
3.4%
북 14
 
2.1%
Other values (78) 183
27.2%
Decimal Number
ValueCountFrequency (%)
1 52
25.4%
2 31
15.1%
5 20
 
9.8%
4 17
 
8.3%
0 16
 
7.8%
9 15
 
7.3%
3 15
 
7.3%
6 15
 
7.3%
8 12
 
5.9%
7 12
 
5.9%
Space Separator
ValueCountFrequency (%)
228
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 673
58.9%
Common 469
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 105
15.6%
동 60
 
8.9%
대 55
 
8.2%
광 52
 
7.7%
역 52
 
7.7%
시 52
 
7.7%
지 39
 
5.8%
번 38
 
5.6%
중 23
 
3.4%
북 14
 
2.1%
Other values (78) 183
27.2%
Common
ValueCountFrequency (%)
228
48.6%
1 52
 
11.1%
- 36
 
7.7%
2 31
 
6.6%
5 20
 
4.3%
4 17
 
3.6%
0 16
 
3.4%
9 15
 
3.2%
3 15
 
3.2%
6 15
 
3.2%
Other values (2) 24
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 673
58.9%
ASCII 469
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
228
48.6%
1 52
 
11.1%
- 36
 
7.7%
2 31
 
6.6%
5 20
 
4.3%
4 17
 
3.6%
0 16
 
3.4%
9 15
 
3.2%
3 15
 
3.2%
6 15
 
3.2%
Other values (2) 24
 
5.1%
Hangul
ValueCountFrequency (%)
구 105
15.6%
동 60
 
8.9%
대 55
 
8.2%
광 52
 
7.7%
역 52
 
7.7%
시 52
 
7.7%
지 39
 
5.8%
번 38
 
5.6%
중 23
 
3.4%
북 14
 
2.1%
Other values (78) 183
27.2%

도로명전체주소
Text

MISSING 

Distinct42
Distinct (%)91.3%
Missing6
Missing (%)11.5%
Memory size548.0 B
2023-12-16T04:49:58.780122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length26.304348
Min length20

Characters and Unicode

Total characters1210
Distinct characters129
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)82.6%

Sample

1st row대구광역시 중구 동성로 69 (동성로1가)
2nd row대구광역시 중구 달구벌대로 2127, 8층 (봉산동)
3rd row대구광역시 중구 동성로 39 (동성로2가)
4th row대구광역시 중구 경상감영길 101, 315호 (포정동,중앙상가 3층)
5th row대구광역시 중구 중앙대로 412 (남일동)
ValueCountFrequency (%)
대구광역시 46
 
18.1%
중구 17
 
6.7%
북구 13
 
5.1%
동암로 6
 
2.4%
동천동 6
 
2.4%
수성구 5
 
2.0%
동구 4
 
1.6%
동성로 4
 
1.6%
중앙대로 4
 
1.6%
남일동 3
 
1.2%
Other values (123) 146
57.5%
2023-12-16T04:50:00.773203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
211
17.4%
구 97
 
8.0%
동 68
 
5.6%
대 57
 
4.7%
로 47
 
3.9%
시 46
 
3.8%
광 46
 
3.8%
역 46
 
3.8%
( 44
 
3.6%
) 44
 
3.6%
Other values (119) 504
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 715
59.1%
Space Separator 211
 
17.4%
Decimal Number 173
 
14.3%
Open Punctuation 44
 
3.6%
Close Punctuation 44
 
3.6%
Other Punctuation 16
 
1.3%
Dash Punctuation 6
 
0.5%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 97
 
13.6%
동 68
 
9.5%
대 57
 
8.0%
로 47
 
6.6%
시 46
 
6.4%
광 46
 
6.4%
역 46
 
6.4%
중 23
 
3.2%
성 18
 
2.5%
북 13
 
1.8%
Other values (103) 254
35.5%
Decimal Number
ValueCountFrequency (%)
1 35
20.2%
0 25
14.5%
2 24
13.9%
4 20
11.6%
5 15
8.7%
9 14
 
8.1%
3 13
 
7.5%
6 11
 
6.4%
7 10
 
5.8%
8 6
 
3.5%
Space Separator
ValueCountFrequency (%)
211
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 715
59.1%
Common 494
40.8%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 97
 
13.6%
동 68
 
9.5%
대 57
 
8.0%
로 47
 
6.6%
시 46
 
6.4%
광 46
 
6.4%
역 46
 
6.4%
중 23
 
3.2%
성 18
 
2.5%
북 13
 
1.8%
Other values (103) 254
35.5%
Common
ValueCountFrequency (%)
211
42.7%
( 44
 
8.9%
) 44
 
8.9%
1 35
 
7.1%
0 25
 
5.1%
2 24
 
4.9%
4 20
 
4.0%
, 16
 
3.2%
5 15
 
3.0%
9 14
 
2.8%
Other values (5) 46
 
9.3%
Latin
ValueCountFrequency (%)
M 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 715
59.1%
ASCII 495
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
211
42.6%
( 44
 
8.9%
) 44
 
8.9%
1 35
 
7.1%
0 25
 
5.1%
2 24
 
4.8%
4 20
 
4.0%
, 16
 
3.2%
5 15
 
3.0%
9 14
 
2.8%
Other values (6) 47
 
9.5%
Hangul
ValueCountFrequency (%)
구 97
 
13.6%
동 68
 
9.5%
대 57
 
8.0%
로 47
 
6.6%
시 46
 
6.4%
광 46
 
6.4%
역 46
 
6.4%
중 23
 
3.2%
성 18
 
2.5%
북 13
 
1.8%
Other values (103) 254
35.5%

도로명우편번호
Text

MISSING 

Distinct31
Distinct (%)77.5%
Missing12
Missing (%)23.1%
Memory size548.0 B
2023-12-16T04:50:01.576049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.45
Min length5

Characters and Unicode

Total characters258
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

Unique25 ?
Unique (%)62.5%

Sample

1st row700-091
2nd row41943
3rd row700-092
4th row700-060
5th row700-010
ValueCountFrequency (%)
702-885 4
 
10.0%
700-100 3
 
7.5%
700-091 2
 
5.0%
700-060 2
 
5.0%
41423 2
 
5.0%
42009 2
 
5.0%
702-851 1
 
2.5%
703-805 1
 
2.5%
43017 1
 
2.5%
704-807 1
 
2.5%
Other values (21) 21
52.5%
2023-12-16T04:50:03.192339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 76
29.5%
7 37
14.3%
- 29
 
11.2%
1 26
 
10.1%
2 25
 
9.7%
4 19
 
7.4%
8 16
 
6.2%
9 10
 
3.9%
5 8
 
3.1%
3 8
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 229
88.8%
Dash Punctuation 29
 
11.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 76
33.2%
7 37
16.2%
1 26
 
11.4%
2 25
 
10.9%
4 19
 
8.3%
8 16
 
7.0%
9 10
 
4.4%
5 8
 
3.5%
3 8
 
3.5%
6 4
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 258
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 76
29.5%
7 37
14.3%
- 29
 
11.2%
1 26
 
10.1%
2 25
 
9.7%
4 19
 
7.4%
8 16
 
6.2%
9 10
 
3.9%
5 8
 
3.1%
3 8
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 258
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 76
29.5%
7 37
14.3%
- 29
 
11.2%
1 26
 
10.1%
2 25
 
9.7%
4 19
 
7.4%
8 16
 
6.2%
9 10
 
3.9%
5 8
 
3.1%
3 8
 
3.1%

사업장명
Text

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-16T04:50:04.264937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length15
Mean length8.1730769
Min length3

Characters and Unicode

Total characters425
Distinct characters128
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)96.2%

Sample

1st row동성아트홀
2nd row주식회사 티씨엔프로덕션
3rd row(주)씨네씨티한일
4th row대경영화사
5th row주식회사 대원아카데미
ValueCountFrequency (%)
주식회사 10
 
13.2%
롯데시네마 2
 
2.6%
지원씨지 2
 
2.6%
대구 1
 
1.3%
진필름 1
 
1.3%
대구광역시 1
 
1.3%
북구 1
 
1.3%
어울아트센터 1
 
1.3%
주)대구시네마 1
 
1.3%
미오시네마 1
 
1.3%
Other values (55) 55
72.4%
2023-12-16T04:50:06.246832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
5.6%
주 23
 
5.4%
( 14
 
3.3%
대 14
 
3.3%
사 14
 
3.3%
) 14
 
3.3%
시 13
 
3.1%
네 13
 
3.1%
회 12
 
2.8%
구 12
 
2.8%
Other values (118) 272
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 372
87.5%
Space Separator 24
 
5.6%
Open Punctuation 14
 
3.3%
Close Punctuation 14
 
3.3%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 23
 
6.2%
대 14
 
3.8%
사 14
 
3.8%
시 13
 
3.5%
네 13
 
3.5%
회 12
 
3.2%
구 12
 
3.2%
지 12
 
3.2%
씨 11
 
3.0%
식 11
 
3.0%
Other values (114) 237
63.7%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 372
87.5%
Common 53
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 23
 
6.2%
대 14
 
3.8%
사 14
 
3.8%
시 13
 
3.5%
네 13
 
3.5%
회 12
 
3.2%
구 12
 
3.2%
지 12
 
3.2%
씨 11
 
3.0%
식 11
 
3.0%
Other values (114) 237
63.7%
Common
ValueCountFrequency (%)
24
45.3%
( 14
26.4%
) 14
26.4%
2 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 372
87.5%
ASCII 53
 
12.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
45.3%
( 14
26.4%
) 14
26.4%
2 1
 
1.9%
Hangul
ValueCountFrequency (%)
주 23
 
6.2%
대 14
 
3.8%
사 14
 
3.8%
시 13
 
3.5%
네 13
 
3.5%
회 12
 
3.2%
구 12
 
3.2%
지 12
 
3.2%
씨 11
 
3.0%
식 11
 
3.0%
Other values (114) 237
63.7%

최종수정시점
Date

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2010-07-06 15:11:57
Maximum2023-11-30 17:07:01
2023-12-16T04:50:07.968482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:50:09.671907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
I
40 
U
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 40
76.9%
U 12
 
23.1%

Length

2023-12-16T04:50:11.078646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:50:11.753473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 40
76.9%
u 12
 
23.1%

데이터갱신일자
Date

Distinct18
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 00:16:59
2023-12-16T04:50:12.369344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:50:13.492994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)87.5%
Missing4
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean343587.78
Minimum331615.48
Maximum352679.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-16T04:50:14.576743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331615.48
5-th percentile339165.12
Q1340843.63
median343947.88
Q3345086.87
95-th percentile347738.46
Maximum352679.28
Range21063.804
Interquartile range (IQR)4243.2387

Descriptive statistics

Standard deviation3476.8897
Coefficient of variation (CV)0.010119364
Kurtosis2.7624156
Mean343587.78
Median Absolute Deviation (MAD)2310.5886
Skewness-0.28207283
Sum16492214
Variance12088762
MonotonicityNot monotonic
2023-12-16T04:50:15.258888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
340843.629081031 3
 
5.8%
340718.253608761 3
 
5.8%
343968.183174141 2
 
3.8%
343908.683407419 2
 
3.8%
331615.478943188 1
 
1.9%
347005.779577311 1
 
1.9%
339717.871628279 1
 
1.9%
345250.756579118 1
 
1.9%
346360.707815192 1
 
1.9%
341042.064147616 1
 
1.9%
Other values (32) 32
61.5%
(Missing) 4
 
7.7%
ValueCountFrequency (%)
331615.478943188 1
 
1.9%
338956.044066766 1
 
1.9%
339006.509116706 1
 
1.9%
339459.676122441 1
 
1.9%
339717.871628279 1
 
1.9%
340011.737583529 1
 
1.9%
340335.208941399 1
 
1.9%
340718.253608761 3
5.8%
340843.629081031 3
5.8%
341042.064147616 1
 
1.9%
ValueCountFrequency (%)
352679.283156301 1
1.9%
352045.000328079 1
1.9%
347764.315977425 1
1.9%
347690.434441289 1
1.9%
347543.746817284 1
1.9%
347435.764172124 1
1.9%
347005.779577311 1
1.9%
346570.538104668 1
1.9%
346360.707815192 1
1.9%
346156.236130463 1
1.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)87.5%
Missing4
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean265696.84
Minimum244670.81
Maximum277641.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-16T04:50:16.389778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244670.81
5-th percentile258944.92
Q1263877.27
median264745.85
Q3270269.26
95-th percentile272659.98
Maximum277641.79
Range32970.974
Interquartile range (IQR)6391.9887

Descriptive statistics

Standard deviation5507.053
Coefficient of variation (CV)0.020726829
Kurtosis3.3854183
Mean265696.84
Median Absolute Deviation (MAD)1858.7994
Skewness-0.818347
Sum12753448
Variance30327632
MonotonicityNot monotonic
2023-12-16T04:50:17.349639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
272656.837765927 3
 
5.8%
272659.975074019 3
 
5.8%
264771.421313673 2
 
3.8%
264477.417035967 2
 
3.8%
244670.811381273 1
 
1.9%
264122.323864646 1
 
1.9%
271412.222622685 1
 
1.9%
268519.387279206 1
 
1.9%
272433.905711192 1
 
1.9%
272450.218486826 1
 
1.9%
Other values (32) 32
61.5%
(Missing) 4
 
7.7%
ValueCountFrequency (%)
244670.811381273 1
1.9%
257081.626055372 1
1.9%
258933.058088754 1
1.9%
258966.954320748 1
1.9%
259551.002452111 1
1.9%
260250.791064719 1
1.9%
260745.726040178 1
1.9%
262585.135012198 1
1.9%
262835.199453274 1
1.9%
262938.891984091 1
1.9%
ValueCountFrequency (%)
277641.78585867 1
 
1.9%
272659.975074019 3
5.8%
272656.837765927 3
5.8%
272450.218486826 1
 
1.9%
272433.905711192 1
 
1.9%
271655.049731543 1
 
1.9%
271412.222622685 1
 
1.9%
270271.225719383 1
 
1.9%
270268.60560348 1
 
1.9%
270181.333116839 1
 
1.9%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
영화상영업
52 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영업 52
100.0%

Length

2023-12-16T04:50:18.015067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:50:18.766850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영업 52
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

총층수
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
46 
0
6 

Length

Max length4
Median length4
Mean length3.6538462
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> 46
88.5%
0 6
 
11.5%

Length

2023-12-16T04:50:19.293136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:50:19.843896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
88.5%
0 6
 
11.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

시설면적
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
46 
0
6 

Length

Max length4
Median length4
Mean length3.6538462
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> 46
88.5%
0 6
 
11.5%

Length

2023-12-16T04:50:20.636715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:50:21.184986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
88.5%
0 6
 
11.5%

지상층수
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
46 
0
6 

Length

Max length4
Median length4
Mean length3.6538462
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> 46
88.5%
0 6
 
11.5%

Length

2023-12-16T04:50:21.817239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:50:22.312813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
88.5%
0 6
 
11.5%

지하층수
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
46 
0
6 

Length

Max length4
Median length4
Mean length3.6538462
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> 46
88.5%
0 6
 
11.5%

Length

2023-12-16T04:50:23.176730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:50:23.757315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
88.5%
0 6
 
11.5%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

통로너비
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
46 
0
6 

Length

Max length4
Median length4
Mean length3.6538462
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> 46
88.5%
0 6
 
11.5%

Length

2023-12-16T04:50:24.462126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:50:25.147693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
88.5%
0 6
 
11.5%

조명시설조도
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
46 
0
6 

Length

Max length4
Median length4
Mean length3.6538462
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> 46
88.5%
0 6
 
11.5%

Length

2023-12-16T04:50:25.780909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:50:26.409303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
88.5%
0 6
 
11.5%

노래방실수
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
46 
0
6 

Length

Max length4
Median length4
Mean length3.6538462
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> 46
88.5%
0 6
 
11.5%

Length

2023-12-16T04:50:26.832301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:50:27.335481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
88.5%
0 6
 
11.5%

청소년실수
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
46 
0
6 

Length

Max length4
Median length4
Mean length3.6538462
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> 46
88.5%
0 6
 
11.5%

Length

2023-12-16T04:50:28.041025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:50:28.712620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
88.5%
0 6
 
11.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

총게임기수
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
46 
0
6 

Length

Max length4
Median length4
Mean length3.6538462
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> 46
88.5%
0 6
 
11.5%

Length

2023-12-16T04:50:29.470633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:50:30.205477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
88.5%
0 6
 
11.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

최초등록시점
Real number (ℝ)

Distinct40
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20074923
Minimum19990810
Maximum20231130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-16T04:50:30.860414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990810
5-th percentile19990810
Q120001063
median20050808
Q320143148
95-th percentile20215057
Maximum20231130
Range240320
Interquartile range (IQR)142085.5

Descriptive statistics

Standard deviation78786.629
Coefficient of variation (CV)0.0039246291
Kurtosis-1.0157543
Mean20074923
Median Absolute Deviation (MAD)59997.5
Skewness0.55966529
Sum1.043896 × 109
Variance6.2073329 × 109
MonotonicityNot monotonic
2023-12-16T04:50:31.650871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
19990810 12
 
23.1%
20150107 2
 
3.8%
20101029 1
 
1.9%
20210830 1
 
1.9%
20130708 1
 
1.9%
20001109 1
 
1.9%
20060706 1
 
1.9%
20231130 1
 
1.9%
20030609 1
 
1.9%
20001120 1
 
1.9%
Other values (30) 30
57.7%
ValueCountFrequency (%)
19990810 12
23.1%
20000925 1
 
1.9%
20001109 1
 
1.9%
20001120 1
 
1.9%
20001211 1
 
1.9%
20011221 1
 
1.9%
20020119 1
 
1.9%
20030314 1
 
1.9%
20030421 1
 
1.9%
20030424 1
 
1.9%
ValueCountFrequency (%)
20231130 1
1.9%
20230508 1
1.9%
20220224 1
1.9%
20210830 1
1.9%
20210215 1
1.9%
20190508 1
1.9%
20180813 1
1.9%
20180731 1
1.9%
20180313 1
1.9%
20150728 1
1.9%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01영화상영업03_13_03_P3410000CDFF52110419990000061999-08-10<NA>3폐업3폐업2022-09-01<NA><NA><NA>053-425-2845<NA><NA>대구광역시 중구 동성로1가 22-1대구광역시 중구 동성로 69 (동성로1가)700-091동성아트홀2022-09-01 17:07:48U2022-09-03 02:40:00<NA>344030.67772264814.832222영화상영업<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>19990810<NA>
12영화상영업03_13_03_P3410000CDFF52110420170000012007-03-05<NA>3폐업3폐업2019-01-25<NA><NA><NA>053-254-2900<NA><NA>대구광역시 중구 봉산동 150-1번지 8층대구광역시 중구 달구벌대로 2127, 8층 (봉산동)41943주식회사 티씨엔프로덕션2019-01-25 17:42:54U2019-01-27 02:40:00<NA>344137.067824263958.211083영화상영업<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>20070305<NA>
23영화상영업03_13_03_P3410000CDFF52110420000000022000-12-11<NA>3폐업3폐업2013-01-31<NA><NA><NA>053-600-2114<NA><NA>대구광역시 중구 동성로2가 88-22번지대구광역시 중구 동성로 39 (동성로2가)700-092(주)씨네씨티한일2013-01-31 15:03:49I2018-08-31 23:59:59<NA>344009.240936264537.611182영화상영업<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>20001211<NA>
34영화상영업03_13_03_P3410000CDFF52110420090000012009-08-19<NA>3폐업3폐업2010-02-02<NA><NA><NA>02-3393-8896<NA><NA>대구광역시 중구 포정동 21-3번지 중앙상가 3층 315호대구광역시 중구 경상감영길 101, 315호 (포정동,중앙상가 3층)<NA>대경영화사2010-07-06 16:19:30I2018-08-31 23:59:59<NA>343800.362369264745.47733영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090819<NA>
45영화상영업03_13_03_P3410000CDFF52110420110000012011-12-27<NA>3폐업3폐업2014-01-20<NA><NA><NA>257-8989<NA><NA>대구광역시 중구 남일동 65-1번지대구광역시 중구 중앙대로 412 (남일동)700-060주식회사 대원아카데미2014-01-21 10:23:15I2018-08-31 23:59:59<NA>343908.683407264477.417036영화상영업<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>20111227<NA>
56영화상영업03_13_03_P3410000CDFF52110420140000012014-08-29<NA>3폐업3폐업2021-03-11<NA><NA><NA>431-1571<NA><NA>대구광역시 중구 포정동 5대구광역시 중구 경상감영길 137 (포정동)700-010그레이스 실버 영화관2021-03-18 09:42:55U2021-03-20 02:40:00<NA>343969.87694264746.212921영화상영업<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>20140829<NA>
67영화상영업03_13_03_P3410000CDFF52110419990000021999-08-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남일동 65-1번지대구광역시 중구 중앙대로 412 (남일동)700-060(주)아카데미시네마2011-12-07 15:22:10I2018-08-31 23:59:59<NA>343908.683407264477.417036영화상영업<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>19990810<NA>
78영화상영업03_13_03_P3410000CDFF52110419990000031999-08-10<NA>1영업/정상13영업중<NA><NA><NA><NA>053-427-4013<NA>700-120대구광역시 중구 용덕동 5-9번지대구광역시 중구 동성로 80-11 (용덕동)700-120명보극장2013-12-26 14:52:52I2018-08-31 23:59:59<NA>344106.292661264928.558509영화상영업<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>19990810<NA>
89영화상영업03_13_03_P3410000CDFF52110419990000041999-08-10<NA>1영업/정상13영업중<NA><NA><NA><NA>053-431-4884<NA><NA>대구광역시 중구 전동 1번지<NA><NA>(주)경덕2010-07-06 15:11:57I2018-08-31 23:59:59<NA>343813.891456264645.89957영화상영업<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>19990810<NA>
910영화상영업03_13_03_P3410000CDFF52110419990000051999-08-10<NA>1영업/정상13영업중<NA><NA><NA><NA>053-422-7735<NA>700-100대구광역시 중구 화전동 14번지<NA><NA>(주)자유극장2010-07-06 15:15:43I2018-08-31 23:59:59<NA><NA><NA>영화상영업<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>19990810<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
4243영화상영업03_13_03_P3460000CDFF52110420030000012003-03-14<NA>3폐업3폐업<NA><NA><NA><NA>053-794-3844<NA><NA>대구광역시 수성구 대흥동 산 35번지대구광역시 수성구 월드컵로 2-46 (대흥동)706-130씨네월드컵2016-04-19 19:08:49I2018-08-31 23:59:59<NA>352045.000328259551.002452영화상영업<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>20030314<NA>
4344영화상영업03_13_03_P3460000CDFF52110420100000012010-10-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 지산동 1200번지 목련아파트 7동 505호대구광역시 수성구 용학로42길 13, 7동 505호 (지산동,목련아파트)<NA>대봉문화영상기획2010-10-29 09:28:39I2018-08-31 23:59:59<NA>347435.764172258966.954321영화상영업<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>20101029<NA>
4445영화상영업03_13_03_P3460000CDFF52110420220000012022-02-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 범어동 2262 범어 더 리브스퀘어대구광역시 수성구 범어천로 214, 범어 더 리브스퀘어 5층 521호 (범어동)42009주식회사 씨네범어2022-02-24 09:03:12I2022-02-26 00:22:49<NA>346156.23613263891.010202영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20220224<NA>
4546영화상영업03_13_03_P3460000CDFF52110420210000012021-02-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 수성동4가 1012-1대구광역시 수성구 범어천로 209 (수성동4가)42009주식회사 부성2021-02-15 18:29:55I2021-02-17 00:23:02<NA>346135.89679263836.057081영화상영업<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>20210215<NA>
4647영화상영업03_13_03_P3470000CDFF52110420010000012001-12-21<NA>3폐업3폐업2011-05-25<NA><NA><NA>624-3691<NA><NA>대구광역시 달서구 본동 1117번지<NA><NA>대구시네파크2011-05-26 10:35:50I2018-08-31 23:59:59<NA>338956.044067260250.791065영화상영업<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>20011221<NA>
4748영화상영업03_13_03_P3470000CDFF52110420030000012003-04-21<NA>3폐업3폐업2015-02-05<NA><NA><NA>656-6655<NA><NA>대구광역시 달서구 송현동 702번지대구광역시 달서구 앞산순환로 180 (송현동)<NA>대구광역시청소년수련원2015-02-05 16:25:29I2018-08-31 23:59:59<NA>340335.208941258933.058089영화상영업<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>20030421<NA>
4849영화상영업03_13_03_P3470000CDFF52110420040000012004-04-27<NA>3폐업3폐업2013-10-23<NA><NA><NA>624-7590<NA><NA>대구광역시 달서구 두류동 산 302-11번지대구광역시 달서구 두류공원로 200 (두류동)<NA>씨네타워2013-10-23 13:06:20I2018-08-31 23:59:59<NA>341301.554735262585.135012영화상영업<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>20040427<NA>
4950영화상영업03_13_03_P3470000CDFF52110420040000022004-09-09<NA>3폐업3폐업2012-11-14<NA><NA><NA><NA><NA><NA>대구광역시 달서구 본동 764-2번지대구광역시 달서구 구마로 106 (본동)704-807진필름2012-11-14 10:02:37I2018-08-31 23:59:59<NA>339006.509117260745.72604영화상영업<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>20040909<NA>
5051영화상영업03_13_03_P3480000CDFF52110420190000012019-05-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 490대구광역시 달성군 현풍읍 테크노상업로 6243017롯데시네마 대구 현풍2022-11-18 11:38:20U2022-11-20 02:40:00<NA>331615.478943244670.811381영화상영업<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>20190508<NA>
5152영화상영업03_13_03_P3480000CDFF52110420180000012018-08-13<NA>1영업/정상13영업중<NA><NA><NA><NA>053-768-0430<NA><NA>대구광역시 달성군 가창면 용계리 12-9번지대구광역시 달성군 가창면 가창로 111042934마루기획2018-08-13 15:04:10I2018-08-31 23:59:59<NA>346570.538105257081.626055영화상영업<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>20180813<NA>