Overview

Dataset statistics

Number of variables59
Number of observations239
Missing cells5182
Missing cells (%)36.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory118.9 KiB
Average record size in memory509.5 B

Variable types

Numeric7
Categorical28
Text2
Unsupported21
DateTime1

Dataset

Description23년05월_6270000_대구광역시_03_13_02_P_영화상영관
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098152&dataSetDetailId=DDI_0000098165&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
소재지우편번호 is highly imbalanced (77.0%)Imbalance
주변환경명 is highly imbalanced (51.6%)Imbalance
공연장형태구분명 is highly imbalanced (85.3%)Imbalance
인허가취소일자 has 239 (100.0%) missing valuesMissing
휴업시작일자 has 239 (100.0%) missing valuesMissing
휴업종료일자 has 239 (100.0%) missing valuesMissing
재개업일자 has 239 (100.0%) missing valuesMissing
소재지면적 has 239 (100.0%) missing valuesMissing
업태구분명 has 239 (100.0%) missing valuesMissing
좌표정보(X) has 7 (2.9%) missing valuesMissing
좌표정보(Y) has 7 (2.9%) missing valuesMissing
총층수 has 97 (40.6%) missing valuesMissing
제작취급품목내용 has 239 (100.0%) missing valuesMissing
지상층수 has 52 (21.8%) missing valuesMissing
비상계단여부 has 239 (100.0%) missing valuesMissing
비상구여부 has 239 (100.0%) missing valuesMissing
자동환기여부 has 239 (100.0%) missing valuesMissing
청소년실여부 has 239 (100.0%) missing valuesMissing
특수조명여부 has 239 (100.0%) missing valuesMissing
방음시설여부 has 239 (100.0%) missing valuesMissing
비디오재생기명 has 239 (100.0%) missing valuesMissing
조명시설유무 has 239 (100.0%) missing valuesMissing
음향시설여부 has 239 (100.0%) missing valuesMissing
편의시설여부 has 239 (100.0%) missing valuesMissing
소방시설여부 has 239 (100.0%) missing valuesMissing
기존게임업외업종명 has 239 (100.0%) missing valuesMissing
제공게임물명 has 239 (100.0%) missing valuesMissing
품목명 has 239 (100.0%) missing valuesMissing
번호 has unique valuesUnique
사업장명 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
제작취급품목내용 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
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 21 (8.8%) zerosZeros
지상층수 has 9 (3.8%) zerosZeros

Reproduction

Analysis started2024-04-21 22:19:59.311820
Analysis finished2024-04-21 22:20:00.152524
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct239
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120
Minimum1
Maximum239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-22T07:20:00.353941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.9
Q160.5
median120
Q3179.5
95-th percentile227.1
Maximum239
Range238
Interquartile range (IQR)119

Descriptive statistics

Standard deviation69.137544
Coefficient of variation (CV)0.5761462
Kurtosis-1.2
Mean120
Median Absolute Deviation (MAD)60
Skewness0
Sum28680
Variance4780
MonotonicityStrictly increasing
2024-04-22T07:20:00.796455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
2 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
156 1
 
0.4%
157 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
Other values (229) 229
95.8%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
239 1
0.4%
238 1
0.4%
237 1
0.4%
236 1
0.4%
235 1
0.4%
234 1
0.4%
233 1
0.4%
232 1
0.4%
231 1
0.4%
230 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
영화상영관
239 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 239
100.0%

Length

2024-04-22T07:20:01.209003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:01.496184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 239
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
03_13_02_P
239 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_13_02_P
2nd row03_13_02_P
3rd row03_13_02_P
4th row03_13_02_P
5th row03_13_02_P

Common Values

ValueCountFrequency (%)
03_13_02_P 239
100.0%

Length

2024-04-22T07:20:01.804807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:02.096740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_13_02_p 239
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3434016.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-22T07:20:02.367609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3420000
Q33450000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation24214.026
Coefficient of variation (CV)0.0070512253
Kurtosis-1.431504
Mean3434016.7
Median Absolute Deviation (MAD)10000
Skewness0.37275738
Sum8.2073 × 108
Variance5.8631905 × 108
MonotonicityIncreasing
2024-04-22T07:20:02.735747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 95
39.7%
3450000 52
21.8%
3470000 29
 
12.1%
3420000 27
 
11.3%
3460000 17
 
7.1%
3430000 9
 
3.8%
3480000 8
 
3.3%
3440000 2
 
0.8%
ValueCountFrequency (%)
3410000 95
39.7%
3420000 27
 
11.3%
3430000 9
 
3.8%
3440000 2
 
0.8%
3450000 52
21.8%
3460000 17
 
7.1%
3470000 29
 
12.1%
3480000 8
 
3.3%
ValueCountFrequency (%)
3480000 8
 
3.3%
3470000 29
 
12.1%
3460000 17
 
7.1%
3450000 52
21.8%
3440000 2
 
0.8%
3430000 9
 
3.8%
3420000 27
 
11.3%
3410000 95
39.7%

관리번호
Text

Distinct167
Distinct (%)69.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-22T07:20:03.534722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4780
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

Unique112 ?
Unique (%)46.9%

Sample

1st rowCDFF4220002002000006
2nd rowCDFF4220002002000007
3rd rowCDFF4220002011000001
4th rowCDFF4220002011000002
5th rowCDFF4220002011000003
ValueCountFrequency (%)
cdff4220002002000001 5
 
2.1%
cdff4220002007000001 4
 
1.7%
cdff4220002006000001 4
 
1.7%
cdff4220002011000007 3
 
1.3%
cdff4220002011000005 3
 
1.3%
cdff4220002011000004 3
 
1.3%
cdff4220002002000002 3
 
1.3%
cdff4220002003000002 3
 
1.3%
cdff4220002003000001 3
 
1.3%
cdff4220002011000003 3
 
1.3%
Other values (157) 205
85.8%
2024-04-22T07:20:04.440033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2279
47.7%
2 804
 
16.8%
F 478
 
10.0%
4 286
 
6.0%
C 239
 
5.0%
D 239
 
5.0%
1 200
 
4.2%
3 64
 
1.3%
6 59
 
1.2%
7 39
 
0.8%
Other values (3) 93
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3824
80.0%
Uppercase Letter 956
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2279
59.6%
2 804
 
21.0%
4 286
 
7.5%
1 200
 
5.2%
3 64
 
1.7%
6 59
 
1.5%
7 39
 
1.0%
5 36
 
0.9%
9 30
 
0.8%
8 27
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 478
50.0%
C 239
25.0%
D 239
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3824
80.0%
Latin 956
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2279
59.6%
2 804
 
21.0%
4 286
 
7.5%
1 200
 
5.2%
3 64
 
1.7%
6 59
 
1.5%
7 39
 
1.0%
5 36
 
0.9%
9 30
 
0.8%
8 27
 
0.7%
Latin
ValueCountFrequency (%)
F 478
50.0%
C 239
25.0%
D 239
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2279
47.7%
2 804
 
16.8%
F 478
 
10.0%
4 286
 
6.0%
C 239
 
5.0%
D 239
 
5.0%
1 200
 
4.2%
3 64
 
1.3%
6 59
 
1.2%
7 39
 
0.8%
Other values (3) 93
 
1.9%

인허가일자
Categorical

Distinct50
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2002-06-26
 
15
2007-09-11
 
12
2011-09-07
 
10
2002-04-10
 
10
2008-05-16
 
9
Other values (45)
183 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique14 ?
Unique (%)5.9%

Sample

1st row2002-06-26
2nd row2002-06-26
3rd row2011-08-16
4th row2011-08-16
5th row2011-08-16

Common Values

ValueCountFrequency (%)
2002-06-26 15
 
6.3%
2007-09-11 12
 
5.0%
2011-09-07 10
 
4.2%
2002-04-10 10
 
4.2%
2008-05-16 9
 
3.8%
2006-01-13 9
 
3.8%
2003-02-19 9
 
3.8%
2011-04-28 7
 
2.9%
2014-01-23 7
 
2.9%
2000-11-29 7
 
2.9%
Other values (40) 144
60.3%

Length

2024-04-22T07:20:04.673668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2002-06-26 15
 
6.3%
2007-09-11 12
 
5.0%
2011-09-07 10
 
4.2%
2002-04-10 10
 
4.2%
2008-05-16 9
 
3.8%
2006-01-13 9
 
3.8%
2003-02-19 9
 
3.8%
2012-09-27 7
 
2.9%
2011-12-27 7
 
2.9%
2023-03-09 7
 
2.9%
Other values (40) 144
60.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
1
149 
3
88 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 149
62.3%
3 88
36.8%
4 2
 
0.8%

Length

2024-04-22T07:20:04.869711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:05.036242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 149
62.3%
3 88
36.8%
4 2
 
0.8%

영업상태명
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
영업/정상
149 
폐업
88 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length3.9707113
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 149
62.3%
폐업 88
36.8%
취소/말소/만료/정지/중지 2
 
0.8%

Length

2024-04-22T07:20:05.219947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:05.394784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 149
62.3%
폐업 88
36.8%
취소/말소/만료/정지/중지 2
 
0.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
13
149 
3
88 
35
 
2

Length

Max length2
Median length2
Mean length1.6317992
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 149
62.3%
3 88
36.8%
35 2
 
0.8%

Length

2024-04-22T07:20:05.594386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:05.773338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 149
62.3%
3 88
36.8%
35 2
 
0.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
영업중
149 
폐업
88 
직권말소
 
2

Length

Max length4
Median length3
Mean length2.6401674
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 149
62.3%
폐업 88
36.8%
직권말소 2
 
0.8%

Length

2024-04-22T07:20:05.978065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:06.172303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 149
62.3%
폐업 88
36.8%
직권말소 2
 
0.8%

폐업일자
Categorical

Distinct24
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
150 
2021-08-02
 
12
2015-03-18
 
9
2007-11-01
 
8
2022-12-27
 
7
Other values (19)
53 

Length

Max length10
Median length4
Mean length6.2343096
Min length4

Unique

Unique10 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 150
62.8%
2021-08-02 12
 
5.0%
2015-03-18 9
 
3.8%
2007-11-01 8
 
3.3%
2022-12-27 7
 
2.9%
2010-02-02 7
 
2.9%
2014-01-20 7
 
2.9%
2011-08-04 6
 
2.5%
2013-10-30 6
 
2.5%
2012-12-17 6
 
2.5%
Other values (14) 21
 
8.8%

Length

2024-04-22T07:20:06.366127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 150
62.8%
2021-08-02 12
 
5.0%
2015-03-18 9
 
3.8%
2007-11-01 8
 
3.3%
2022-12-27 7
 
2.9%
2010-02-02 7
 
2.9%
2014-01-20 7
 
2.9%
2011-08-04 6
 
2.5%
2013-10-30 6
 
2.5%
2012-12-17 6
 
2.5%
Other values (14) 21
 
8.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

소재지전화
Categorical

Distinct42
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
39 
257-2041
 
14
053-609-3031
 
13
600-2114
 
11
053-222-6600
 
10
Other values (37)
152 

Length

Max length13
Median length12
Mean length9.1548117
Min length4

Unique

Unique15 ?
Unique (%)6.3%

Sample

1st row257-2041
2nd row257-2041
3rd row428-9320
4th row428-9320
5th row428-9320

Common Values

ValueCountFrequency (%)
<NA> 39
 
16.3%
257-2041 14
 
5.9%
053-609-3031 13
 
5.4%
600-2114 11
 
4.6%
053-222-6600 10
 
4.2%
660-2940 9
 
3.8%
053-256-0528 9
 
3.8%
053-584-1166 9
 
3.8%
427-8091 9
 
3.8%
02-3147-3741 7
 
2.9%
Other values (32) 109
45.6%

Length

2024-04-22T07:20:06.582749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 39
 
16.3%
257-2041 14
 
5.9%
053-609-3031 13
 
5.4%
600-2114 11
 
4.6%
053-222-6600 10
 
4.2%
660-2940 9
 
3.8%
053-256-0528 9
 
3.8%
053-584-1166 9
 
3.8%
427-8091 9
 
3.8%
070-7434-5020 7
 
2.9%
Other values (32) 109
45.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

소재지우편번호
Categorical

IMBALANCE 

Distinct12
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
212 
700-060
 
10
700-191
 
6
700-010
 
2
705-813
 
2
Other values (7)
 
7

Length

Max length7
Median length4
Mean length4.3389121
Min length4

Unique

Unique7 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 212
88.7%
700-060 10
 
4.2%
700-191 6
 
2.5%
700-010 2
 
0.8%
705-813 2
 
0.8%
700-091 1
 
0.4%
703-805 1
 
0.4%
703-801 1
 
0.4%
702-849 1
 
0.4%
706-130 1
 
0.4%
Other values (2) 2
 
0.8%

Length

2024-04-22T07:20:06.789308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 212
88.7%
700-060 10
 
4.2%
700-191 6
 
2.5%
700-010 2
 
0.8%
705-813 2
 
0.8%
700-091 1
 
0.4%
703-805 1
 
0.4%
703-801 1
 
0.4%
702-849 1
 
0.4%
706-130 1
 
0.4%
Other values (2) 2
 
0.8%

소재지전체주소
Categorical

Distinct49
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
대구광역시 중구 남일동 65-1번지
 
16
대구광역시 중구 종로1가 29-4번지
 
15
대구광역시 중구 사일동 15-1
 
12
대구광역시 중구 동성로2가 88-22번지
 
11
대구광역시 수성구 대흥동 504 B2F
 
10
Other values (44)
175 

Length

Max length33
Median length29
Mean length21.213389
Min length15

Unique

Unique17 ?
Unique (%)7.1%

Sample

1st row대구광역시 중구 종로1가 29-4번지
2nd row대구광역시 중구 종로1가 29-4번지
3rd row대구광역시 중구 계산동2가 200
4th row대구광역시 중구 계산동2가 200
5th row대구광역시 중구 계산동2가 200

Common Values

ValueCountFrequency (%)
대구광역시 중구 남일동 65-1번지 16
 
6.7%
대구광역시 중구 종로1가 29-4번지 15
 
6.3%
대구광역시 중구 사일동 15-1 12
 
5.0%
대구광역시 중구 동성로2가 88-22번지 11
 
4.6%
대구광역시 수성구 대흥동 504 B2F 10
 
4.2%
대구광역시 북구 칠성동2가 20 10
 
4.2%
대구광역시 북구 칠성동2가 302-155번지 9
 
3.8%
대구광역시 달서구 이곡동 1244-1 9
 
3.8%
대구광역시 중구 동성로2가 66-1 9
 
3.8%
대구광역시 중구 남일동 135-1번지 8
 
3.3%
Other values (39) 130
54.4%

Length

2024-04-22T07:20:07.030668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 239
23.4%
중구 95
 
9.3%
북구 52
 
5.1%
남일동 31
 
3.0%
달서구 29
 
2.8%
동구 27
 
2.6%
동성로2가 25
 
2.4%
칠성동2가 19
 
1.9%
수성구 17
 
1.7%
65-1번지 16
 
1.6%
Other values (89) 471
46.1%

도로명전체주소
Categorical

Distinct46
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
대구광역시 중구 동성로 39 (동성로2가)
 
16
대구광역시 중구 국채보상로 547 (종로1가)
 
15
대구광역시 중구 중앙대로 412 (남일동)
 
13
대구광역시 중구 국채보상로 585 (사일동)
 
12
대구광역시 수성구 유니버시아드로 140 (대흥동)
 
10
Other values (41)
173 

Length

Max length39
Median length36
Mean length24.974895
Min length4

Unique

Unique14 ?
Unique (%)5.9%

Sample

1st row대구광역시 중구 국채보상로 547 (종로1가)
2nd row대구광역시 중구 국채보상로 547 (종로1가)
3rd row대구광역시 중구 달구벌대로 2077 (계산동2가)
4th row대구광역시 중구 달구벌대로 2077 (계산동2가)
5th row대구광역시 중구 달구벌대로 2077 (계산동2가)

Common Values

ValueCountFrequency (%)
대구광역시 중구 동성로 39 (동성로2가) 16
 
6.7%
대구광역시 중구 국채보상로 547 (종로1가) 15
 
6.3%
대구광역시 중구 중앙대로 412 (남일동) 13
 
5.4%
대구광역시 중구 국채보상로 585 (사일동) 12
 
5.0%
대구광역시 수성구 유니버시아드로 140 (대흥동) 10
 
4.2%
대구광역시 북구 침산로 93 (칠성동2가) 10
 
4.2%
대구광역시 달서구 성서로 414 (이곡동) 9
 
3.8%
대구광역시 북구 태평로 161 (칠성동2가) 9
 
3.8%
<NA> 9
 
3.8%
대구광역시 중구 중앙대로 412 (남일동) 9
 
3.8%
Other values (36) 127
53.1%

Length

2024-04-22T07:20:07.284498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 230
 
18.9%
중구 95
 
7.8%
북구 46
 
3.8%
중앙대로 31
 
2.5%
남일동 31
 
2.5%
달서구 29
 
2.4%
국채보상로 28
 
2.3%
동구 27
 
2.2%
동성로2가 25
 
2.0%
412 23
 
1.9%
Other values (108) 655
53.7%

도로명우편번호
Categorical

Distinct29
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
42 
41909
 
14
41423
 
13
41937
 
12
700-092
 
11
Other values (24)
147 

Length

Max length7
Median length5
Mean length5.125523
Min length4

Unique

Unique4 ?
Unique (%)1.7%

Sample

1st row41919
2nd row41919
3rd row41936
4th row41936
5th row41936

Common Values

ValueCountFrequency (%)
<NA> 42
17.6%
41909 14
 
5.9%
41423 13
 
5.4%
41937 12
 
5.0%
700-092 11
 
4.6%
42250 11
 
4.6%
41919 10
 
4.2%
41593 10
 
4.2%
41938 9
 
3.8%
42620 9
 
3.8%
Other values (19) 98
41.0%

Length

2024-04-22T07:20:07.521975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 42
17.6%
41909 14
 
5.9%
41423 13
 
5.4%
41937 12
 
5.0%
700-092 11
 
4.6%
42250 11
 
4.6%
41919 10
 
4.2%
41593 10
 
4.2%
41938 9
 
3.8%
42620 9
 
3.8%
Other values (19) 98
41.0%

사업장명
Text

UNIQUE 

Distinct239
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-22T07:20:08.343166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length19
Mean length11.887029
Min length4

Characters and Unicode

Total characters2841
Distinct characters125
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

Unique239 ?
Unique (%)100.0%

Sample

1st row롯데시네마 프리미엄 만경관 6관
2nd row롯데시네마 프리미엄 만경관 7관
3rd rowCGV대구현대 제1관
4th rowCGV대구현대 제2관
5th rowCGV대구현대 제3관
ValueCountFrequency (%)
롯데시네마 68
 
12.5%
cgv 17
 
3.1%
프리미엄 15
 
2.8%
2관 14
 
2.6%
1관 13
 
2.4%
5관 13
 
2.4%
3관 13
 
2.4%
6관 12
 
2.2%
4관 12
 
2.2%
한일극장 11
 
2.0%
Other values (138) 355
65.4%
2024-04-22T07:20:09.395362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
304
 
10.7%
관 259
 
9.1%
대 128
 
4.5%
구 123
 
4.3%
네 115
 
4.0%
시 112
 
3.9%
데 105
 
3.7%
마 102
 
3.6%
C 88
 
3.1%
제 82
 
2.9%
Other values (115) 1423
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1924
67.7%
Space Separator 304
 
10.7%
Uppercase Letter 279
 
9.8%
Decimal Number 259
 
9.1%
Open Punctuation 33
 
1.2%
Close Punctuation 33
 
1.2%
Lowercase Letter 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 259
 
13.5%
대 128
 
6.7%
구 123
 
6.4%
네 115
 
6.0%
시 112
 
5.8%
데 105
 
5.5%
마 102
 
5.3%
제 82
 
4.3%
롯 82
 
4.3%
아 47
 
2.4%
Other values (83) 769
40.0%
Uppercase Letter
ValueCountFrequency (%)
C 88
31.5%
G 81
29.0%
V 81
29.0%
M 14
 
5.0%
Q 7
 
2.5%
D 3
 
1.1%
X 2
 
0.7%
I 1
 
0.4%
A 1
 
0.4%
S 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 49
18.9%
2 34
13.1%
3 30
11.6%
9 29
11.2%
5 29
11.2%
4 28
10.8%
6 27
10.4%
7 17
 
6.6%
8 9
 
3.5%
0 7
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
y 1
11.1%
o 1
11.1%
l 1
11.1%
b 1
11.1%
i 1
11.1%
n 1
11.1%
e 1
11.1%
m 1
11.1%
a 1
11.1%
Space Separator
ValueCountFrequency (%)
304
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1924
67.7%
Common 629
 
22.1%
Latin 288
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 259
 
13.5%
대 128
 
6.7%
구 123
 
6.4%
네 115
 
6.0%
시 112
 
5.8%
데 105
 
5.5%
마 102
 
5.3%
제 82
 
4.3%
롯 82
 
4.3%
아 47
 
2.4%
Other values (83) 769
40.0%
Latin
ValueCountFrequency (%)
C 88
30.6%
G 81
28.1%
V 81
28.1%
M 14
 
4.9%
Q 7
 
2.4%
D 3
 
1.0%
X 2
 
0.7%
I 1
 
0.3%
A 1
 
0.3%
y 1
 
0.3%
Other values (9) 9
 
3.1%
Common
ValueCountFrequency (%)
304
48.3%
1 49
 
7.8%
2 34
 
5.4%
( 33
 
5.2%
) 33
 
5.2%
3 30
 
4.8%
9 29
 
4.6%
5 29
 
4.6%
4 28
 
4.5%
6 27
 
4.3%
Other values (3) 33
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1924
67.7%
ASCII 917
32.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
304
33.2%
C 88
 
9.6%
G 81
 
8.8%
V 81
 
8.8%
1 49
 
5.3%
2 34
 
3.7%
( 33
 
3.6%
) 33
 
3.6%
3 30
 
3.3%
9 29
 
3.2%
Other values (22) 155
16.9%
Hangul
ValueCountFrequency (%)
관 259
 
13.5%
대 128
 
6.7%
구 123
 
6.4%
네 115
 
6.0%
시 112
 
5.8%
데 105
 
5.5%
마 102
 
5.3%
제 82
 
4.3%
롯 82
 
4.3%
아 47
 
2.4%
Other values (83) 769
40.0%

최종수정시점
Date

Distinct202
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2003-06-27 13:17:21
Maximum2023-05-08 17:51:59
2024-04-22T07:20:09.624228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T07:20:09.860675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
U
149 
I
90 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 149
62.3%
I 90
37.7%

Length

2024-04-22T07:20:10.087293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:10.258534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 149
62.3%
i 90
37.7%

데이터갱신일자
Categorical

Distinct27
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2018-08-31 23:59:59
81 
2021-12-18 02:40:00
25 
2021-08-04 02:40:00
13 
2021-04-25 02:40:00
13 
2023-01-20 02:40:00
11 
Other values (22)
96 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique6 ?
Unique (%)2.5%

Sample

1st row2018-08-31 23:59:59
2nd row2018-08-31 23:59:59
3rd row2021-04-25 02:40:00
4th row2021-04-25 02:40:00
5th row2021-04-25 02:40:00

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59 81
33.9%
2021-12-18 02:40:00 25
 
10.5%
2021-08-04 02:40:00 13
 
5.4%
2021-04-25 02:40:00 13
 
5.4%
2023-01-20 02:40:00 11
 
4.6%
2021-04-21 02:40:00 10
 
4.2%
2023-05-26 08:48:36 10
 
4.2%
2022-01-19 02:40:00 7
 
2.9%
2023-03-11 00:41:15 7
 
2.9%
2022-12-30 02:40:00 7
 
2.9%
Other values (17) 55
23.0%

Length

2024-04-22T07:20:10.426296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:40:00 137
28.7%
2018-08-31 81
16.9%
23:59:59 81
16.9%
2021-12-18 25
 
5.2%
2021-08-04 13
 
2.7%
2021-04-25 13
 
2.7%
2023-01-20 11
 
2.3%
2021-04-21 10
 
2.1%
08:48:36 10
 
2.1%
2023-05-26 10
 
2.1%
Other values (23) 87
18.2%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)17.2%
Missing7
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean343431.32
Minimum331615.48
Maximum352868.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-22T07:20:10.633883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331615.48
5-th percentile336128.86
Q1340843.63
median343908.68
Q3344128.88
95-th percentile352335.05
Maximum352868.54
Range21253.058
Interquartile range (IQR)3285.2464

Descriptive statistics

Standard deviation4254.1744
Coefficient of variation (CV)0.012387264
Kurtosis1.0351117
Mean343431.32
Median Absolute Deviation (MAD)2452.0244
Skewness-0.12142299
Sum79676065
Variance18098000
MonotonicityNot monotonic
2024-04-22T07:20:10.858224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
343908.683407419 23
 
9.6%
344009.240935636 16
 
6.7%
343571.965698792 15
 
6.3%
343932.188380264 12
 
5.0%
352335.045028381 10
 
4.2%
343510.573192364 10
 
4.2%
344128.875507429 9
 
3.8%
336128.86159594 9
 
3.8%
344052.576927614 9
 
3.8%
343823.520010758 8
 
3.3%
Other values (30) 111
46.4%
ValueCountFrequency (%)
331615.478943188 6
2.5%
332945.127713769 1
 
0.4%
336128.86159594 9
3.8%
337925.121291211 6
2.5%
338717.714233625 7
2.9%
339041.173034002 7
2.9%
339459.676122441 1
 
0.4%
339717.871628279 1
 
0.4%
339926.325673175 1
 
0.4%
340011.737583529 7
2.9%
ValueCountFrequency (%)
352868.53664899 6
2.5%
352679.283156301 1
 
0.4%
352335.045028381 10
4.2%
352045.000328079 1
 
0.4%
348194.499420792 4
 
1.7%
347783.240396825 1
 
0.4%
347690.434441289 7
2.9%
347543.746817284 7
2.9%
347037.241970286 6
2.5%
347005.779577311 1
 
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)17.2%
Missing7
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean264510.41
Minimum244670.81
Maximum277641.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-22T07:20:11.065659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244670.81
5-th percentile258463.13
Q1262835.2
median264522.38
Q3265200.59
95-th percentile272656.84
Maximum277641.79
Range32970.974
Interquartile range (IQR)2365.3917

Descriptive statistics

Standard deviation4999.4791
Coefficient of variation (CV)0.018900879
Kurtosis4.920856
Mean264510.41
Median Absolute Deviation (MAD)885.02041
Skewness-1.1854156
Sum61366415
Variance24994792
MonotonicityNot monotonic
2024-04-22T07:20:11.296596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
264477.417035967 23
 
9.6%
264537.611181944 16
 
6.7%
264582.776250837 15
 
6.3%
264630.94487331 12
 
5.0%
260158.750203679 10
 
4.2%
266134.259920881 10
 
4.2%
264507.156679394 9
 
3.8%
262620.435474406 9
 
3.8%
265131.653371228 9
 
3.8%
264376.110360945 8
 
3.3%
Other values (30) 111
46.4%
ValueCountFrequency (%)
244670.811381273 6
2.5%
255360.475912095 1
 
0.4%
255571.574782069 1
 
0.4%
258463.127963339 7
2.9%
259144.519321173 4
 
1.7%
259346.85077581 6
2.5%
259551.002452111 1
 
0.4%
260158.750203679 10
4.2%
260672.673682175 2
 
0.8%
262242.385643433 7
2.9%
ValueCountFrequency (%)
277641.78585867 1
 
0.4%
272659.975074019 7
2.9%
272656.837765927 6
2.5%
272450.218486826 6
2.5%
272433.905711192 6
2.5%
271655.049731543 1
 
0.4%
271412.222622685 1
 
0.4%
270271.225719383 7
2.9%
270181.333116839 7
2.9%
266134.259920881 10
4.2%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
영화상영관
239 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 239
100.0%

Length

2024-04-22T07:20:11.526013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:11.679672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 239
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
영화상영관
123 
<NA>
116 

Length

Max length5
Median length5
Mean length4.5146444
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 123
51.5%
<NA> 116
48.5%

Length

2024-04-22T07:20:11.851788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:12.020382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 123
51.5%
na 116
48.5%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)7.0%
Missing97
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean9.3380282
Minimum0
Maximum14
Zeros21
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-22T07:20:12.163195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median11
Q313
95-th percentile14
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.6461871
Coefficient of variation (CV)0.49755548
Kurtosis-0.1362133
Mean9.3380282
Median Absolute Deviation (MAD)2
Skewness-1.0897502
Sum1326
Variance21.587054
MonotonicityNot monotonic
2024-04-22T07:20:12.352235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
13 31
 
13.0%
0 21
 
8.8%
9 20
 
8.4%
14 17
 
7.1%
11 17
 
7.1%
12 12
 
5.0%
10 11
 
4.6%
6 8
 
3.3%
2 3
 
1.3%
5 2
 
0.8%
(Missing) 97
40.6%
ValueCountFrequency (%)
0 21
8.8%
2 3
 
1.3%
5 2
 
0.8%
6 8
 
3.3%
9 20
8.4%
10 11
 
4.6%
11 17
7.1%
12 12
 
5.0%
13 31
13.0%
14 17
7.1%
ValueCountFrequency (%)
14 17
7.1%
13 31
13.0%
12 12
 
5.0%
11 17
7.1%
10 11
 
4.6%
9 20
8.4%
6 8
 
3.3%
5 2
 
0.8%
2 3
 
1.3%
0 21
8.8%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
178 
기타
54 
아파트지역
 
6
유흥업소밀집지역
 
1

Length

Max length8
Median length4
Mean length3.5899582
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 178
74.5%
기타 54
 
22.6%
아파트지역 6
 
2.5%
유흥업소밀집지역 1
 
0.4%

Length

2024-04-22T07:20:12.583855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:12.776405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 178
74.5%
기타 54
 
22.6%
아파트지역 6
 
2.5%
유흥업소밀집지역 1
 
0.4%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

시설면적
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
184 
0
55 

Length

Max length4
Median length4
Mean length3.3096234
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> 184
77.0%
0 55
 
23.0%

Length

2024-04-22T07:20:12.977516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:13.155158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 184
77.0%
0 55
 
23.0%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)6.4%
Missing52
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean7.0427807
Minimum0
Maximum11
Zeros9
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-22T07:20:13.309273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median8
Q39
95-th percentile10
Maximum11
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.8394852
Coefficient of variation (CV)0.40317671
Kurtosis-0.0084066242
Mean7.0427807
Median Absolute Deviation (MAD)2
Skewness-0.81289278
Sum1317
Variance8.0626761
MonotonicityNot monotonic
2024-04-22T07:20:13.507950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
9 36
15.1%
10 30
12.6%
5 28
11.7%
8 23
9.6%
7 20
 
8.4%
6 12
 
5.0%
11 9
 
3.8%
0 9
 
3.8%
3 8
 
3.3%
4 6
 
2.5%
Other values (2) 6
 
2.5%
(Missing) 52
21.8%
ValueCountFrequency (%)
0 9
 
3.8%
1 2
 
0.8%
2 4
 
1.7%
3 8
 
3.3%
4 6
 
2.5%
5 28
11.7%
6 12
 
5.0%
7 20
8.4%
8 23
9.6%
9 36
15.1%
ValueCountFrequency (%)
11 9
 
3.8%
10 30
12.6%
9 36
15.1%
8 23
9.6%
7 20
8.4%
6 12
 
5.0%
5 28
11.7%
4 6
 
2.5%
3 8
 
3.3%
2 4
 
1.7%

지하층수
Categorical

Distinct6
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
97 
3
62 
2
29 
1
20 
0
16 

Length

Max length4
Median length1
Mean length2.2175732
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row2
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 97
40.6%
3 62
25.9%
2 29
 
12.1%
1 20
 
8.4%
0 16
 
6.7%
5 15
 
6.3%

Length

2024-04-22T07:20:13.734434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:13.932070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
40.6%
3 62
25.9%
2 29
 
12.1%
1 20
 
8.4%
0 16
 
6.7%
5 15
 
6.3%

건물용도명
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
132 
문화시설
101 
근린생활시설
 
5
사무실
 
1

Length

Max length6
Median length4
Mean length4.0376569
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 132
55.2%
문화시설 101
42.3%
근린생활시설 5
 
2.1%
사무실 1
 
0.4%

Length

2024-04-22T07:20:14.140456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:14.325708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 132
55.2%
문화시설 101
42.3%
근린생활시설 5
 
2.1%
사무실 1
 
0.4%

통로너비
Categorical

Distinct6
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
140 
0.0
46 
1.0
44 
1.1
 
7
1.2
 
1

Length

Max length4
Median length4
Mean length3.5899582
Min length3

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row1.0
2nd row1.0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 140
58.6%
0.0 46
 
19.2%
1.0 44
 
18.4%
1.1 7
 
2.9%
1.2 1
 
0.4%
1.05 1
 
0.4%

Length

2024-04-22T07:20:14.523835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:15.015520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 140
58.6%
0.0 46
 
19.2%
1.0 44
 
18.4%
1.1 7
 
2.9%
1.2 1
 
0.4%
1.05 1
 
0.4%

조명시설조도
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
184 
0
55 

Length

Max length4
Median length4
Mean length3.3096234
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> 184
77.0%
0 55
 
23.0%

Length

2024-04-22T07:20:15.229855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:15.407422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 184
77.0%
0 55
 
23.0%

노래방실수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
184 
0
55 

Length

Max length4
Median length4
Mean length3.3096234
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> 184
77.0%
0 55
 
23.0%

Length

2024-04-22T07:20:15.593797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:15.777343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 184
77.0%
0 55
 
23.0%

청소년실수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
184 
0
55 

Length

Max length4
Median length4
Mean length3.3096234
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> 184
77.0%
0 55
 
23.0%

Length

2024-04-22T07:20:15.963196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:16.142313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 184
77.0%
0 55
 
23.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

총게임기수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
184 
0
55 

Length

Max length4
Median length4
Mean length3.3096234
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> 184
77.0%
0 55
 
23.0%

Length

2024-04-22T07:20:16.335618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:16.514620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 184
77.0%
0 55
 
23.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

공연장형태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
영화관
234 
자동차극장
 
5

Length

Max length5
Median length3
Mean length3.041841
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화관 234
97.9%
자동차극장 5
 
2.1%

Length

2024-04-22T07:20:16.703572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:16.883722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화관 234
97.9%
자동차극장 5
 
2.1%

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing239
Missing (%)100.0%
Memory size2.2 KiB

최초등록시점
Real number (ℝ)

Distinct50
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20084604
Minimum19620219
Maximum20230309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-22T07:20:17.076276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19620219
5-th percentile20001129
Q120030418
median20080516
Q320126066
95-th percentile20210915
Maximum20230309
Range610090
Interquartile range (IQR)95648

Descriptive statistics

Standard deviation75116.906
Coefficient of variation (CV)0.0037400243
Kurtosis10.730998
Mean20084604
Median Absolute Deviation (MAD)50297
Skewness-1.6767355
Sum4.8002203 × 109
Variance5.6425495 × 109
MonotonicityNot monotonic
2024-04-22T07:20:17.336272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020626 15
 
6.3%
20070911 12
 
5.0%
20110907 10
 
4.2%
20020410 10
 
4.2%
20080516 9
 
3.8%
20060113 9
 
3.8%
20030219 9
 
3.8%
20111227 7
 
2.9%
20230309 7
 
2.9%
20151215 7
 
2.9%
Other values (40) 144
60.3%
ValueCountFrequency (%)
19620219 2
 
0.8%
19960626 2
 
0.8%
19980617 1
 
0.4%
20000720 2
 
0.8%
20001123 1
 
0.4%
20001129 7
2.9%
20001223 1
 
0.4%
20011220 6
2.5%
20020118 2
 
0.8%
20020122 1
 
0.4%
ValueCountFrequency (%)
20230309 7
2.9%
20210915 6
2.5%
20190611 6
2.5%
20180803 7
2.9%
20161212 6
2.5%
20161122 6
2.5%
20151215 7
2.9%
20141226 1
 
0.4%
20140821 1
 
0.4%
20140123 7
2.9%

지역구분명
Categorical

Distinct9
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
130 
중심상업지역
50 
일반상업지역
20 
자연녹지지역
 
10
일반주거지역
 
8
Other values (4)
21 

Length

Max length6
Median length4
Mean length4.832636
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 130
54.4%
중심상업지역 50
 
20.9%
일반상업지역 20
 
8.4%
자연녹지지역 10
 
4.2%
일반주거지역 8
 
3.3%
근린상업지역 7
 
2.9%
준주거지역 7
 
2.9%
상업지역 6
 
2.5%
보전녹지지역 1
 
0.4%

Length

2024-04-22T07:20:17.606213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:20:17.855356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
54.4%
중심상업지역 50
 
20.9%
일반상업지역 20
 
8.4%
자연녹지지역 10
 
4.2%
일반주거지역 8
 
3.3%
근린상업지역 7
 
2.9%
준주거지역 7
 
2.9%
상업지역 6
 
2.5%
보전녹지지역 1
 
0.4%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01영화상영관03_13_02_P3410000CDFF42200020020000062002-06-26<NA>1영업/정상13영업중<NA><NA><NA><NA>257-2041<NA><NA>대구광역시 중구 종로1가 29-4번지대구광역시 중구 국채보상로 547 (종로1가)41919롯데시네마 프리미엄 만경관 6관2018-05-24 20:41:57I2018-08-31 23:59:59<NA>343571.965699264582.776251영화상영관영화상영관<NA><NA><NA><NA>9<NA><NA>1.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20020626<NA>
12영화상영관03_13_02_P3410000CDFF42200020020000072002-06-26<NA>1영업/정상13영업중<NA><NA><NA><NA>257-2041<NA><NA>대구광역시 중구 종로1가 29-4번지대구광역시 중구 국채보상로 547 (종로1가)41919롯데시네마 프리미엄 만경관 7관2018-05-24 20:43:01I2018-08-31 23:59:59<NA>343571.965699264582.776251영화상영관영화상영관<NA><NA><NA><NA>9<NA><NA>1.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20020626<NA>
23영화상영관03_13_02_P3410000CDFF42200020110000012011-08-16<NA>1영업/정상13영업중<NA><NA><NA><NA>428-9320<NA><NA>대구광역시 중구 계산동2가 200대구광역시 중구 달구벌대로 2077 (계산동2가)41936CGV대구현대 제1관2021-04-23 18:12:20U2021-04-25 02:40:00<NA>343588.735555264119.01075영화상영관<NA>10<NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20110816<NA>
34영화상영관03_13_02_P3410000CDFF42200020110000022011-08-16<NA>1영업/정상13영업중<NA><NA><NA><NA>428-9320<NA><NA>대구광역시 중구 계산동2가 200대구광역시 중구 달구벌대로 2077 (계산동2가)41936CGV대구현대 제2관2021-04-23 18:13:15U2021-04-25 02:40:00<NA>343588.735555264119.01075영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20110816<NA>
45영화상영관03_13_02_P3410000CDFF42200020110000032011-08-16<NA>1영업/정상13영업중<NA><NA><NA><NA>428-9320<NA><NA>대구광역시 중구 계산동2가 200대구광역시 중구 달구벌대로 2077 (계산동2가)41936CGV대구현대 제3관2021-04-23 18:13:42U2021-04-25 02:40:00<NA>343588.735555264119.01075영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20110816<NA>
56영화상영관03_13_02_P3410000CDFF42200020110000042011-08-16<NA>1영업/정상13영업중<NA><NA><NA><NA>428-9320<NA><NA>대구광역시 중구 계산동2가 200대구광역시 중구 달구벌대로 2077 (계산동2가)41936CGV대구현대 제4관2021-04-23 18:14:20U2021-04-25 02:40:00<NA>343588.735555264119.01075영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20110816<NA>
67영화상영관03_13_02_P3410000CDFF42200020110000052011-08-16<NA>1영업/정상13영업중<NA><NA><NA><NA>428-9320<NA><NA>대구광역시 중구 계산동2가 200대구광역시 중구 달구벌대로 2077 (계산동2가)41936CGV대구현대 제5관2021-04-23 18:15:59U2021-04-25 02:40:00<NA>343588.735555264119.01075영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20110816<NA>
78영화상영관03_13_02_P3410000CDFF42200020110000062011-08-16<NA>1영업/정상13영업중<NA><NA><NA><NA>428-9320<NA><NA>대구광역시 중구 계산동2가 200대구광역시 중구 달구벌대로 2077 (계산동2가)41936CGV대구현대 제6관2021-04-23 18:16:24U2021-04-25 02:40:00<NA>343588.735555264119.01075영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20110816<NA>
89영화상영관03_13_02_P3410000CDFF42200020140000042014-01-23<NA>1영업/정상13영업중<NA><NA><NA><NA>0534315609<NA><NA>대구광역시 중구 남일동 65-1대구광역시 중구 중앙대로 412 (남일동)41937CGV대구아카데미제5관2021-04-23 10:05:32U2021-04-25 02:40:00<NA>343908.683407264477.417036영화상영관<NA>9<NA><NA><NA>5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20140123<NA>
910영화상영관03_13_02_P3410000CDFF42200020140000052014-01-23<NA>1영업/정상13영업중<NA><NA><NA><NA>0534315609<NA><NA>대구광역시 중구 남일동 65-1대구광역시 중구 중앙대로 412 (남일동)41937CGV대구아카데미제6관2021-04-23 10:10:09U2021-04-25 02:40:00<NA>343908.683407264477.417036영화상영관<NA>9<NA><NA><NA>7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20140123<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
229230영화상영관03_13_02_P3470000CDFF42200020230000072023-03-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 죽전동 273-27대구광역시 달서구 달구벌대로 1551, 골든타워 8~11층 (죽전동)42633CGV 대구죽전 7관2023-03-09 13:07:00I2023-03-11 00:41:15<NA>338717.714234262242.385643영화상영관<NA>0<NA><NA>000<NA>0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20230309<NA>
230231영화상영관03_13_02_P3470000CDFF42200020060000022006-01-13<NA>1영업/정상13영업중<NA><NA><NA><NA>053-584-1166<NA><NA>대구광역시 달서구 이곡동 1244-1대구광역시 달서구 성서로 414 (이곡동)42620롯데시네마 성서9 (제8관)2021-12-16 11:25:33U2021-12-18 02:40:00<NA>336128.861596262620.435474영화상영관영화상영관13기타<NA><NA>103문화시설1.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20060113일반상업지역
231232영화상영관03_13_02_P3480000CDFF42200020020000012002-02-25<NA>3폐업3폐업2006-07-28<NA><NA><NA>614-8290<NA>711-841대구광역시 달성군 옥포면 간경리 856번지<NA><NA>옥포자동차극장2007-01-29 14:25:23I2018-08-31 23:59:59<NA>332945.127714255571.574782영화상영관영화상영관2<NA><NA><NA>2<NA>사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동차극장<NA>20020225준주거지역
232233영화상영관03_13_02_P3480000CDFF42200020190000012019-06-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 490대구광역시 달성군 현풍읍 테크노상업로 6243017롯데시네마 대구현풍12022-11-21 09:06:00U2022-11-23 02:40:00<NA>331615.478943244670.811381영화상영관<NA>0<NA><NA>093<NA>0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20190611<NA>
233234영화상영관03_13_02_P3480000CDFF42200020190000022019-06-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 490대구광역시 달성군 현풍읍 테크노상업로 6243017롯데시네마 대구현풍22022-11-21 09:06:16U2022-11-23 02:40:00<NA>331615.478943244670.811381영화상영관<NA>0<NA><NA>093<NA>0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20190611<NA>
234235영화상영관03_13_02_P3480000CDFF42200020070000012007-10-16<NA>1영업/정상13영업중<NA><NA><NA><NA>053-608-5000<NA>711-861대구광역시 달성군 가창면 냉천리 27-9번지대구광역시 달성군 가창면 가창로 891<NA>씨네밸리2009-06-22 14:06:37I2018-08-31 23:59:59<NA>347783.240397255360.475912영화상영관영화상영관<NA>기타<NA><NA>2<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동차극장<NA>20071016일반주거지역
235236영화상영관03_13_02_P3480000CDFF42200020190000042019-06-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 490대구광역시 달성군 현풍읍 테크노상업로 6243017롯데시네마 대구현풍42022-11-21 09:05:26U2022-11-23 02:40:00<NA>331615.478943244670.811381영화상영관<NA>0<NA><NA>093<NA>0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20190611<NA>
236237영화상영관03_13_02_P3480000CDFF42200020190000052019-06-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 490대구광역시 달성군 현풍읍 테크노상업로 6243017롯데시네마 대구현풍52022-11-21 09:04:40U2022-11-23 02:40:00<NA>331615.478943244670.811381영화상영관<NA>0<NA><NA>093<NA>0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20190611<NA>
237238영화상영관03_13_02_P3480000CDFF42200020190000062019-06-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 490대구광역시 달성군 현풍읍 테크노상업로 6243017롯데시네마 대구현풍62022-11-21 09:05:06U2022-11-23 02:40:00<NA>331615.478943244670.811381영화상영관<NA>0<NA><NA>093<NA>0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20190611<NA>
238239영화상영관03_13_02_P3480000CDFF42200020190000032019-06-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 490대구광역시 달성군 현풍읍 테크노상업로 6243017롯데시네마 대구현풍32022-11-21 09:05:44U2022-11-23 02:40:00<NA>331615.478943244670.811381영화상영관<NA>0<NA><NA>093<NA>0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20190611<NA>