Overview

Dataset statistics

Number of variables59
Number of observations232
Missing cells5447
Missing cells (%)39.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory116.6 KiB
Average record size in memory514.6 B

Variable types

Numeric12
Categorical23
Text2
Unsupported21
DateTime1

Dataset

Description22년12월_6270000_대구광역시_03_13_02_P_영화상영관
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097344&dataSetDetailId=DDI_0000097367&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
주변환경명 is highly imbalanced (50.8%)Imbalance
공연장형태구분명 is highly imbalanced (85.0%)Imbalance
인허가취소일자 has 232 (100.0%) missing valuesMissing
폐업일자 has 143 (61.6%) missing valuesMissing
휴업시작일자 has 232 (100.0%) missing valuesMissing
휴업종료일자 has 232 (100.0%) missing valuesMissing
재개업일자 has 232 (100.0%) missing valuesMissing
소재지면적 has 232 (100.0%) missing valuesMissing
소재지우편번호 has 205 (88.4%) missing valuesMissing
도로명우편번호 has 42 (18.1%) missing valuesMissing
업태구분명 has 232 (100.0%) missing valuesMissing
좌표정보(X) has 17 (7.3%) missing valuesMissing
좌표정보(Y) has 17 (7.3%) missing valuesMissing
총층수 has 98 (42.2%) missing valuesMissing
제작취급품목내용 has 232 (100.0%) missing valuesMissing
지상층수 has 53 (22.8%) missing valuesMissing
비상계단여부 has 232 (100.0%) missing valuesMissing
비상구여부 has 232 (100.0%) missing valuesMissing
자동환기여부 has 232 (100.0%) missing valuesMissing
청소년실여부 has 232 (100.0%) missing valuesMissing
특수조명여부 has 232 (100.0%) missing valuesMissing
방음시설여부 has 232 (100.0%) missing valuesMissing
비디오재생기명 has 232 (100.0%) missing valuesMissing
조명시설유무 has 232 (100.0%) missing valuesMissing
음향시설여부 has 232 (100.0%) missing valuesMissing
편의시설여부 has 232 (100.0%) missing valuesMissing
소방시설여부 has 232 (100.0%) missing valuesMissing
기존게임업외업종명 has 232 (100.0%) missing valuesMissing
제공게임물명 has 232 (100.0%) missing valuesMissing
품목명 has 232 (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 13 (5.6%) zerosZeros

Reproduction

Analysis started2023-12-10 18:58:24.913450
Analysis finished2023-12-10 18:58:25.663783
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct232
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.5
Minimum1
Maximum232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T03:58:25.754091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.55
Q158.75
median116.5
Q3174.25
95-th percentile220.45
Maximum232
Range231
Interquartile range (IQR)115.5

Descriptive statistics

Standard deviation67.116814
Coefficient of variation (CV)0.57610999
Kurtosis-1.2
Mean116.5
Median Absolute Deviation (MAD)58
Skewness0
Sum27028
Variance4504.6667
MonotonicityStrictly increasing
2023-12-11T03:58:25.931624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
161 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
156 1
 
0.4%
Other values (222) 222
95.7%
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 (%)
232 1
0.4%
231 1
0.4%
230 1
0.4%
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
영화상영관
232 

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 232
100.0%

Length

2023-12-11T03:58:26.115776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:26.257709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 232
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
03_13_02_P
232 

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 232
100.0%

Length

2023-12-11T03:58:26.400046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:26.537977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_13_02_p 232
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3432931
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T03:58:26.668149image/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 deviation23741.656
Coefficient of variation (CV)0.0069158557
Kurtosis-1.3420617
Mean3432931
Median Absolute Deviation (MAD)10000
Skewness0.43960098
Sum7.9644 × 108
Variance5.6366622 × 108
MonotonicityIncreasing
2023-12-11T03:58:26.847199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 95
40.9%
3450000 52
22.4%
3420000 27
 
11.6%
3470000 22
 
9.5%
3460000 17
 
7.3%
3430000 9
 
3.9%
3480000 8
 
3.4%
3440000 2
 
0.9%
ValueCountFrequency (%)
3410000 95
40.9%
3420000 27
 
11.6%
3430000 9
 
3.9%
3440000 2
 
0.9%
3450000 52
22.4%
3460000 17
 
7.3%
3470000 22
 
9.5%
3480000 8
 
3.4%
ValueCountFrequency (%)
3480000 8
 
3.4%
3470000 22
 
9.5%
3460000 17
 
7.3%
3450000 52
22.4%
3440000 2
 
0.9%
3430000 9
 
3.9%
3420000 27
 
11.6%
3410000 95
40.9%

관리번호
Text

Distinct160
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-11T03:58:27.182858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4640
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

Unique105 ?
Unique (%)45.3%

Sample

1st rowCDFF4220002000000004
2nd rowCDFF4220002000000005
3rd rowCDFF4220002000000006
4th rowCDFF4220002000000007
5th rowCDFF4220002000000008
ValueCountFrequency (%)
cdff4220002002000001 5
 
2.2%
cdff4220002007000001 4
 
1.7%
cdff4220002006000001 4
 
1.7%
cdff4220002003000001 3
 
1.3%
cdff4220002011000001 3
 
1.3%
cdff4220002003000002 3
 
1.3%
cdff4220002002000002 3
 
1.3%
cdff4220002011000007 3
 
1.3%
cdff4220002011000005 3
 
1.3%
cdff4220002011000003 3
 
1.3%
Other values (150) 198
85.3%
2023-12-11T03:58:27.666958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2216
47.8%
2 775
 
16.7%
F 464
 
10.0%
4 278
 
6.0%
C 232
 
5.0%
D 232
 
5.0%
1 199
 
4.3%
6 58
 
1.2%
3 56
 
1.2%
7 38
 
0.8%
Other values (3) 92
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3712
80.0%
Uppercase Letter 928
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2216
59.7%
2 775
 
20.9%
4 278
 
7.5%
1 199
 
5.4%
6 58
 
1.6%
3 56
 
1.5%
7 38
 
1.0%
5 35
 
0.9%
9 30
 
0.8%
8 27
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 464
50.0%
C 232
25.0%
D 232
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3712
80.0%
Latin 928
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2216
59.7%
2 775
 
20.9%
4 278
 
7.5%
1 199
 
5.4%
6 58
 
1.6%
3 56
 
1.5%
7 38
 
1.0%
5 35
 
0.9%
9 30
 
0.8%
8 27
 
0.7%
Latin
ValueCountFrequency (%)
F 464
50.0%
C 232
25.0%
D 232
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2216
47.8%
2 775
 
16.7%
F 464
 
10.0%
4 278
 
6.0%
C 232
 
5.0%
D 232
 
5.0%
1 199
 
4.3%
6 58
 
1.2%
3 56
 
1.2%
7 38
 
0.8%
Other values (3) 92
 
2.0%

인허가일자
Real number (ℝ)

Distinct49
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20080207
Minimum19620219
Maximum20210915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T03:58:27.905578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19620219
5-th percentile20001129
Q120030219
median20075766
Q320121002
95-th percentile20185217
Maximum20210915
Range590696
Interquartile range (IQR)90783

Descriptive statistics

Standard deviation71769
Coefficient of variation (CV)0.0035741165
Kurtosis12.935331
Mean20080207
Median Absolute Deviation (MAD)45461
Skewness-2.0514435
Sum4.6586081 × 109
Variance5.1507894 × 109
MonotonicityNot monotonic
2023-12-11T03:58:28.117582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
20020626 15
 
6.5%
20070911 12
 
5.2%
20110907 10
 
4.3%
20020410 10
 
4.3%
20060113 9
 
3.9%
20030219 9
 
3.9%
20080516 9
 
3.9%
20001129 7
 
3.0%
20140123 7
 
3.0%
20151215 7
 
3.0%
Other values (39) 137
59.1%
ValueCountFrequency (%)
19620219 2
 
0.9%
19960626 2
 
0.9%
19980617 1
 
0.4%
20000720 2
 
0.9%
20001123 1
 
0.4%
20001129 7
3.0%
20001223 1
 
0.4%
20011220 6
2.6%
20020118 2
 
0.9%
20020122 1
 
0.4%
ValueCountFrequency (%)
20210915 6
2.6%
20190611 6
2.6%
20180803 7
3.0%
20161212 6
2.6%
20161122 6
2.6%
20151215 7
3.0%
20141226 1
 
0.4%
20140821 1
 
0.4%
20140123 7
3.0%
20130904 6
2.6%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
1
142 
3
88 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 142
61.2%
3 88
37.9%
4 2
 
0.9%

Length

2023-12-11T03:58:28.289752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:28.435203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 142
61.2%
3 88
37.9%
4 2
 
0.9%

영업상태명
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
영업/정상
142 
폐업
88 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length3.9396552
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 142
61.2%
폐업 88
37.9%
취소/말소/만료/정지/중지 2
 
0.9%

Length

2023-12-11T03:58:28.593704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:28.732455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 142
61.2%
폐업 88
37.9%
취소/말소/만료/정지/중지 2
 
0.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
13
142 
3
88 
35
 
2

Length

Max length2
Median length2
Mean length1.6206897
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 142
61.2%
3 88
37.9%
35 2
 
0.9%

Length

2023-12-11T03:58:28.889661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:29.013018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 142
61.2%
3 88
37.9%
35 2
 
0.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
영업중
142 
폐업
88 
직권말소
 
2

Length

Max length4
Median length3
Mean length2.6293103
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 142
61.2%
폐업 88
37.9%
직권말소 2
 
0.9%

Length

2023-12-11T03:58:29.172016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:29.339202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 142
61.2%
폐업 88
37.9%
직권말소 2
 
0.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)25.8%
Missing143
Missing (%)61.6%
Infinite0
Infinite (%)0.0%
Mean20138804
Minimum20030627
Maximum20221227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T03:58:29.481419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030627
5-th percentile20054472
Q120100202
median20131030
Q320190102
95-th percentile20221227
Maximum20221227
Range190600
Interquartile range (IQR)89900

Descriptive statistics

Standard deviation52883.765
Coefficient of variation (CV)0.0026259635
Kurtosis-0.85595221
Mean20138804
Median Absolute Deviation (MAD)30828
Skewness0.091803429
Sum1.7923536 × 109
Variance2.7966926 × 109
MonotonicityNot monotonic
2023-12-11T03:58:29.685163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20210802 12
 
5.2%
20150318 9
 
3.9%
20071101 8
 
3.4%
20100202 7
 
3.0%
20221227 7
 
3.0%
20140120 7
 
3.0%
20121217 6
 
2.6%
20131030 6
 
2.6%
20110804 6
 
2.6%
20121226 5
 
2.2%
Other values (13) 16
 
6.9%
(Missing) 143
61.6%
ValueCountFrequency (%)
20030627 2
 
0.9%
20050124 1
 
0.4%
20050302 2
 
0.9%
20060728 1
 
0.4%
20071101 8
3.4%
20080225 1
 
0.4%
20081229 1
 
0.4%
20100202 7
3.0%
20110804 6
2.6%
20121217 6
2.6%
ValueCountFrequency (%)
20221227 7
3.0%
20220901 1
 
0.4%
20210802 12
5.2%
20210311 1
 
0.4%
20200430 1
 
0.4%
20190102 1
 
0.4%
20160331 2
 
0.9%
20160321 1
 
0.4%
20150318 9
3.9%
20150127 1
 
0.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

소재지전화
Categorical

Distinct42
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
32 
257-2041
 
14
053-609-3031
 
13
600-2114
 
11
053-222-6600
 
10
Other values (37)
152 

Length

Max length13
Median length12
Mean length9.3103448
Min length4

Unique

Unique15 ?
Unique (%)6.5%

Sample

1st row600-2114
2nd row600-2114
3rd row600-2114
4th row600-2114
5th row600-2114

Common Values

ValueCountFrequency (%)
<NA> 32
 
13.8%
257-2041 14
 
6.0%
053-609-3031 13
 
5.6%
600-2114 11
 
4.7%
053-222-6600 10
 
4.3%
053-584-1166 9
 
3.9%
427-8091 9
 
3.9%
660-2940 9
 
3.9%
053-256-0528 9
 
3.9%
02-3147-3741 7
 
3.0%
Other values (32) 109
47.0%

Length

2023-12-11T03:58:29.919414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 32
 
13.8%
257-2041 14
 
6.0%
053-609-3031 13
 
5.6%
600-2114 11
 
4.7%
053-222-6600 10
 
4.3%
053-584-1166 9
 
3.9%
427-8091 9
 
3.9%
660-2940 9
 
3.9%
053-256-0528 9
 
3.9%
424-8500 7
 
3.0%
Other values (32) 109
47.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)40.7%
Missing205
Missing (%)88.4%
Infinite0
Infinite (%)0.0%
Mean701991.48
Minimum700010
Maximum711861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T03:58:30.069759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700025
Q1700060
median700191
Q3703325
95-th percentile710127.7
Maximum711861
Range11851
Interquartile range (IQR)3265

Descriptive statistics

Standard deviation3487.7548
Coefficient of variation (CV)0.004968372
Kurtosis3.133289
Mean701991.48
Median Absolute Deviation (MAD)131
Skewness1.9409189
Sum18953770
Variance12164434
MonotonicityNot monotonic
2023-12-11T03:58:30.242709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
700060 10
 
4.3%
700191 6
 
2.6%
700010 2
 
0.9%
705813 2
 
0.9%
700091 1
 
0.4%
703805 1
 
0.4%
703801 1
 
0.4%
702849 1
 
0.4%
706130 1
 
0.4%
711841 1
 
0.4%
(Missing) 205
88.4%
ValueCountFrequency (%)
700010 2
 
0.9%
700060 10
4.3%
700091 1
 
0.4%
700191 6
2.6%
702849 1
 
0.4%
703801 1
 
0.4%
703805 1
 
0.4%
705813 2
 
0.9%
706130 1
 
0.4%
711841 1
 
0.4%
ValueCountFrequency (%)
711861 1
 
0.4%
711841 1
 
0.4%
706130 1
 
0.4%
705813 2
 
0.9%
703805 1
 
0.4%
703801 1
 
0.4%
702849 1
 
0.4%
700191 6
2.6%
700091 1
 
0.4%
700060 10
4.3%

소재지전체주소
Categorical

Distinct48
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size1.9 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 북구 칠성동2가 20
 
10
Other values (43)
168 

Length

Max length33
Median length29
Mean length21.228448
Min length15

Unique

Unique17 ?
Unique (%)7.3%

Sample

1st row대구광역시 중구 동성로2가 88-22번지
2nd row대구광역시 중구 동성로2가 88-22번지
3rd row대구광역시 중구 동성로2가 88-22번지
4th row대구광역시 중구 동성로2가 88-22번지
5th row대구광역시 중구 동성로2가 88-22번지

Common Values

ValueCountFrequency (%)
대구광역시 중구 남일동 65-1번지 16
 
6.9%
대구광역시 중구 종로1가 29-4번지 15
 
6.5%
대구광역시 중구 사일동 15-1 12
 
5.2%
대구광역시 중구 동성로2가 88-22번지 11
 
4.7%
대구광역시 북구 칠성동2가 20 10
 
4.3%
대구광역시 수성구 대흥동 504 B2F 10
 
4.3%
대구광역시 북구 칠성동2가 302-155번지 9
 
3.9%
대구광역시 달서구 이곡동 1244-1 9
 
3.9%
대구광역시 중구 동성로2가 66-1 9
 
3.9%
대구광역시 중구 남일동 135-1번지 8
 
3.4%
Other values (38) 123
53.0%

Length

2023-12-11T03:58:30.448822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 232
23.4%
중구 95
 
9.6%
북구 52
 
5.2%
남일동 31
 
3.1%
동구 27
 
2.7%
동성로2가 25
 
2.5%
달서구 22
 
2.2%
칠성동2가 19
 
1.9%
수성구 17
 
1.7%
65-1번지 16
 
1.6%
Other values (87) 457
46.0%

도로명전체주소
Categorical

Distinct45
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size1.9 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 (40)
166 

Length

Max length39
Median length34
Mean length24.581897
Min length4

Unique

Unique14 ?
Unique (%)6.0%

Sample

1st row대구광역시 중구 동성로 39 (동성로2가)
2nd row대구광역시 중구 동성로 39 (동성로2가)
3rd row대구광역시 중구 동성로 39 (동성로2가)
4th row대구광역시 중구 동성로 39 (동성로2가)
5th row대구광역시 중구 동성로 39 (동성로2가)

Common Values

ValueCountFrequency (%)
대구광역시 중구 동성로 39 (동성로2가) 16
 
6.9%
대구광역시 중구 국채보상로 547 (종로1가) 15
 
6.5%
대구광역시 중구 중앙대로 412 (남일동) 13
 
5.6%
대구광역시 중구 국채보상로 585 (사일동) 12
 
5.2%
대구광역시 수성구 유니버시아드로 140 (대흥동) 10
 
4.3%
대구광역시 북구 침산로 93 (칠성동2가) 10
 
4.3%
대구광역시 북구 태평로 161 (칠성동2가) 9
 
3.9%
대구광역시 중구 중앙대로 412 (남일동) 9
 
3.9%
<NA> 9
 
3.9%
대구광역시 중구 동성로2길 95 (동성로2가) 9
 
3.9%
Other values (35) 120
51.7%

Length

2023-12-11T03:58:30.635683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 223
 
19.0%
중구 95
 
8.1%
북구 46
 
3.9%
중앙대로 31
 
2.6%
남일동 31
 
2.6%
국채보상로 28
 
2.4%
동구 27
 
2.3%
동성로2가 25
 
2.1%
412 23
 
2.0%
달서구 22
 
1.9%
Other values (104) 620
52.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)14.2%
Missing42
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean166741.57
Minimum41007
Maximum702849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T03:58:30.810926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41007
5-th percentile41097
Q141593
median41937
Q342786
95-th percentile701596.25
Maximum702849
Range661842
Interquartile range (IQR)1193

Descriptive statistics

Standard deviation258915.42
Coefficient of variation (CV)1.5527947
Kurtosis0.55757921
Mean166741.57
Median Absolute Deviation (MAD)514
Skewness1.5974266
Sum31680898
Variance6.7037196 × 1010
MonotonicityNot monotonic
2023-12-11T03:58:30.981834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
41909 14
 
6.0%
41423 13
 
5.6%
41937 12
 
5.2%
700092 11
 
4.7%
42250 11
 
4.7%
41593 10
 
4.3%
41919 10
 
4.3%
42620 9
 
3.9%
702746 9
 
3.9%
41938 9
 
3.9%
Other values (17) 82
35.3%
(Missing) 42
18.1%
ValueCountFrequency (%)
41007 1
 
0.4%
41026 7
3.0%
41097 6
2.6%
41229 6
2.6%
41411 6
2.6%
41423 13
5.6%
41424 6
2.6%
41447 1
 
0.4%
41593 10
4.3%
41856 7
3.0%
ValueCountFrequency (%)
702849 1
 
0.4%
702746 9
3.9%
700191 6
2.6%
700092 11
4.7%
700060 7
3.0%
700010 2
 
0.9%
43017 6
2.6%
42786 7
3.0%
42757 6
2.6%
42620 9
3.9%

사업장명
Text

UNIQUE 

Distinct232
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-11T03:58:31.352348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length19
Mean length11.913793
Min length4

Characters and Unicode

Total characters2764
Distinct characters124
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

Unique232 ?
Unique (%)100.0%

Sample

1st row씨너스 한일극장 1관
2nd row씨너스 한일극장 2관
3rd row씨너스 한일극장 3관
4th row씨너스 한일극장 4관
5th row씨너스 한일극장 5관
ValueCountFrequency (%)
롯데시네마 68
 
13.0%
프리미엄 15
 
2.9%
2관 13
 
2.5%
1관 12
 
2.3%
3관 12
 
2.3%
5관 12
 
2.3%
씨너스 11
 
2.1%
4관 11
 
2.1%
6관 11
 
2.1%
한일극장 11
 
2.1%
Other values (137) 346
66.3%
2023-12-11T03:58:31.963524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
290
 
10.5%
관 252
 
9.1%
대 121
 
4.4%
구 116
 
4.2%
네 115
 
4.2%
시 112
 
4.1%
데 105
 
3.8%
마 102
 
3.7%
제 82
 
3.0%
롯 82
 
3.0%
Other values (114) 1387
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1889
68.3%
Space Separator 290
 
10.5%
Uppercase Letter 258
 
9.3%
Decimal Number 252
 
9.1%
Close Punctuation 33
 
1.2%
Open Punctuation 33
 
1.2%
Lowercase Letter 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 252
 
13.3%
대 121
 
6.4%
구 116
 
6.1%
네 115
 
6.1%
시 112
 
5.9%
데 105
 
5.6%
마 102
 
5.4%
제 82
 
4.3%
롯 82
 
4.3%
아 47
 
2.5%
Other values (82) 755
40.0%
Uppercase Letter
ValueCountFrequency (%)
C 81
31.4%
G 74
28.7%
V 74
28.7%
M 14
 
5.4%
Q 7
 
2.7%
D 3
 
1.2%
X 2
 
0.8%
A 1
 
0.4%
I 1
 
0.4%
S 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 48
19.0%
2 33
13.1%
9 29
11.5%
3 29
11.5%
5 28
11.1%
4 27
10.7%
6 26
10.3%
7 16
 
6.3%
8 9
 
3.6%
0 7
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
l 1
11.1%
o 1
11.1%
b 1
11.1%
y 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 (%)
290
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1889
68.3%
Common 608
 
22.0%
Latin 267
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 252
 
13.3%
대 121
 
6.4%
구 116
 
6.1%
네 115
 
6.1%
시 112
 
5.9%
데 105
 
5.6%
마 102
 
5.4%
제 82
 
4.3%
롯 82
 
4.3%
아 47
 
2.5%
Other values (82) 755
40.0%
Latin
ValueCountFrequency (%)
C 81
30.3%
G 74
27.7%
V 74
27.7%
M 14
 
5.2%
Q 7
 
2.6%
D 3
 
1.1%
X 2
 
0.7%
A 1
 
0.4%
I 1
 
0.4%
l 1
 
0.4%
Other values (9) 9
 
3.4%
Common
ValueCountFrequency (%)
290
47.7%
1 48
 
7.9%
2 33
 
5.4%
) 33
 
5.4%
( 33
 
5.4%
9 29
 
4.8%
3 29
 
4.8%
5 28
 
4.6%
4 27
 
4.4%
6 26
 
4.3%
Other values (3) 32
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1889
68.3%
ASCII 875
31.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
290
33.1%
C 81
 
9.3%
G 74
 
8.5%
V 74
 
8.5%
1 48
 
5.5%
2 33
 
3.8%
) 33
 
3.8%
( 33
 
3.8%
9 29
 
3.3%
3 29
 
3.3%
Other values (22) 151
17.3%
Hangul
ValueCountFrequency (%)
관 252
 
13.3%
대 121
 
6.4%
구 116
 
6.1%
네 115
 
6.1%
시 112
 
5.9%
데 105
 
5.6%
마 102
 
5.4%
제 82
 
4.3%
롯 82
 
4.3%
아 47
 
2.5%
Other values (82) 755
40.0%

최종수정시점
Real number (ℝ)

Distinct197
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0182408 × 1013
Minimum2.0030627 × 1013
Maximum2.0221228 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T03:58:32.184186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030627 × 1013
5-th percentile2.0090229 × 1013
Q12.0150319 × 1013
median2.0210423 × 1013
Q32.0211216 × 1013
95-th percentile2.0221222 × 1013
Maximum2.0221228 × 1013
Range1.90601 × 1011
Interquartile range (IQR)6.0896937 × 1010

Descriptive statistics

Standard deviation4.6729017 × 1010
Coefficient of variation (CV)0.0023153341
Kurtosis0.35989492
Mean2.0182408 × 1013
Median Absolute Deviation (MAD)9.6940622 × 109
Skewness-1.2452695
Sum4.6823186 × 1015
Variance2.183601 × 1021
MonotonicityNot monotonic
2023-12-11T03:58:32.410785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211216112533 7
 
3.0%
20211215173946 6
 
2.6%
20210419143619 6
 
2.6%
20211216124310 6
 
2.6%
20210927094510 4
 
1.7%
20220117163224 4
 
1.7%
20210419143620 4
 
1.7%
20220117163223 3
 
1.3%
20211216112534 2
 
0.9%
20210422091455 2
 
0.9%
Other values (187) 188
81.0%
ValueCountFrequency (%)
20030627131721 1
0.4%
20030627131737 1
0.4%
20070129142523 1
0.4%
20071126091913 1
0.4%
20071126092033 1
0.4%
20071126092101 1
0.4%
20071126092133 1
0.4%
20071126092156 1
0.4%
20071126092226 1
0.4%
20071126092248 1
0.4%
ValueCountFrequency (%)
20221228131647 1
0.4%
20221228131640 1
0.4%
20221228131633 1
0.4%
20221228131624 1
0.4%
20221228131617 1
0.4%
20221228131607 1
0.4%
20221228131557 1
0.4%
20221222150335 1
0.4%
20221222150235 1
0.4%
20221222150117 1
0.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
U
149 
I
83 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 149
64.2%
I 83
35.8%

Length

2023-12-11T03:58:32.599111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:32.747319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 149
64.2%
i 83
35.8%

데이터갱신일자
Date

Distinct27
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-30 02:40:00
2023-12-11T03:58:32.882694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:58:33.078430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)17.7%
Missing17
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean343581.1
Minimum331615.48
Maximum352868.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T03:58:33.375480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331615.48
5-th percentile336128.86
Q1340882.47
median343908.68
Q3344128.88
95-th percentile352335.05
Maximum352868.54
Range21253.058
Interquartile range (IQR)3246.4025

Descriptive statistics

Standard deviation4334.2936
Coefficient of variation (CV)0.012615053
Kurtosis1.0195681
Mean343581.1
Median Absolute Deviation (MAD)2452.0244
Skewness-0.18623886
Sum73869936
Variance18786101
MonotonicityNot monotonic
2023-12-11T03:58:33.846114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
343908.683407419 23
 
9.9%
344009.240935636 16
 
6.9%
343571.965698792 15
 
6.5%
343932.188380264 12
 
5.2%
352335.045028381 10
 
4.3%
336128.86159594 9
 
3.9%
344052.576927614 9
 
3.9%
344128.875507429 9
 
3.9%
343823.520010758 8
 
3.4%
347543.746817284 7
 
3.0%
Other values (28) 97
41.8%
(Missing) 17
 
7.3%
ValueCountFrequency (%)
331615.478943188 6
2.6%
332945.127713769 1
 
0.4%
336128.86159594 9
3.9%
337925.121291211 6
2.6%
339041.173034002 7
3.0%
339459.676122441 1
 
0.4%
339717.871628279 1
 
0.4%
339926.325673175 1
 
0.4%
340011.737583529 7
3.0%
340601.726948814 2
 
0.9%
ValueCountFrequency (%)
352868.53664899 6
2.6%
352679.283156301 1
 
0.4%
352335.045028381 10
4.3%
352045.000328079 1
 
0.4%
348194.499420792 4
 
1.7%
347783.240396825 1
 
0.4%
347690.434441289 7
3.0%
347543.746817284 7
3.0%
347037.241970286 6
2.6%
347005.779577311 1
 
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)17.7%
Missing17
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean264508.72
Minimum244670.81
Maximum277641.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T03:58:34.018833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244670.81
5-th percentile258463.13
Q1262899.61
median264507.16
Q3265131.65
95-th percentile272656.84
Maximum277641.79
Range32970.974
Interquartile range (IQR)2232.0459

Descriptive statistics

Standard deviation5166.1279
Coefficient of variation (CV)0.01953103
Kurtosis4.5061442
Mean264508.72
Median Absolute Deviation (MAD)624.49669
Skewness-1.1581865
Sum56869376
Variance26688878
MonotonicityNot monotonic
2023-12-11T03:58:34.217387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
264477.417035967 23
 
9.9%
264537.611181944 16
 
6.9%
264582.776250837 15
 
6.5%
264630.94487331 12
 
5.2%
260158.750203679 10
 
4.3%
262620.435474406 9
 
3.9%
265131.653371228 9
 
3.9%
264507.156679394 9
 
3.9%
264376.110360945 8
 
3.4%
270181.333116839 7
 
3.0%
Other values (28) 97
41.8%
(Missing) 17
 
7.3%
ValueCountFrequency (%)
244670.811381273 6
2.6%
255360.475912095 1
 
0.4%
255571.574782069 1
 
0.4%
258463.127963339 7
3.0%
259144.519321173 4
 
1.7%
259346.85077581 6
2.6%
259551.002452111 1
 
0.4%
260158.750203679 10
4.3%
260672.673682175 2
 
0.9%
262620.435474406 9
3.9%
ValueCountFrequency (%)
277641.78585867 1
 
0.4%
272659.975074019 7
3.0%
272656.837765927 6
2.6%
272450.218486826 6
2.6%
272433.905711192 6
2.6%
271655.049731543 1
 
0.4%
271412.222622685 1
 
0.4%
270271.225719383 7
3.0%
270181.333116839 7
3.0%
265407.404336831 6
2.6%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
영화상영관
232 

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 232
100.0%

Length

2023-12-11T03:58:34.415535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:34.548790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 232
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
영화상영관
123 
<NA>
109 

Length

Max length5
Median length5
Mean length4.5301724
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 123
53.0%
<NA> 109
47.0%

Length

2023-12-11T03:58:34.715557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:34.861015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 123
53.0%
na 109
47.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)7.5%
Missing98
Missing (%)42.2%
Infinite0
Infinite (%)0.0%
Mean9.8955224
Minimum0
Maximum14
Zeros13
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T03:58:34.973007image/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 deviation4.1626131
Coefficient of variation (CV)0.42065623
Kurtosis0.78962596
Mean9.8955224
Median Absolute Deviation (MAD)2
Skewness-1.3288785
Sum1326
Variance17.327348
MonotonicityNot monotonic
2023-12-11T03:58:35.137831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
13 31
 
13.4%
9 20
 
8.6%
14 17
 
7.3%
11 17
 
7.3%
0 13
 
5.6%
12 12
 
5.2%
10 11
 
4.7%
6 8
 
3.4%
2 3
 
1.3%
5 2
 
0.9%
(Missing) 98
42.2%
ValueCountFrequency (%)
0 13
5.6%
2 3
 
1.3%
5 2
 
0.9%
6 8
 
3.4%
9 20
8.6%
10 11
 
4.7%
11 17
7.3%
12 12
 
5.2%
13 31
13.4%
14 17
7.3%
ValueCountFrequency (%)
14 17
7.3%
13 31
13.4%
12 12
 
5.2%
11 17
7.3%
10 11
 
4.7%
9 20
8.6%
6 8
 
3.4%
5 2
 
0.9%
2 3
 
1.3%
0 13
5.6%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
171 
기타
54 
아파트지역
 
6
유흥업소밀집지역
 
1

Length

Max length8
Median length4
Mean length3.5775862
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> 171
73.7%
기타 54
 
23.3%
아파트지역 6
 
2.6%
유흥업소밀집지역 1
 
0.4%

Length

2023-12-11T03:58:35.346217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:35.523353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 171
73.7%
기타 54
 
23.3%
아파트지역 6
 
2.6%
유흥업소밀집지역 1
 
0.4%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

시설면적
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
189 
0
43 

Length

Max length4
Median length4
Mean length3.4439655
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> 189
81.5%
0 43
 
18.5%

Length

2023-12-11T03:58:35.714911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:35.878703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 189
81.5%
0 43
 
18.5%

지상층수
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)6.7%
Missing53
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean7.3519553
Minimum0
Maximum11
Zeros2
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T03:58:36.016476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median8
Q39
95-th percentile10.1
Maximum11
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.4845894
Coefficient of variation (CV)0.33794947
Kurtosis-0.2127821
Mean7.3519553
Median Absolute Deviation (MAD)2
Skewness-0.66046767
Sum1316
Variance6.1731844
MonotonicityNot monotonic
2023-12-11T03:58:36.201585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
9 36
15.5%
10 30
12.9%
5 28
12.1%
8 23
9.9%
7 20
 
8.6%
6 12
 
5.2%
11 9
 
3.9%
3 8
 
3.4%
4 6
 
2.6%
2 4
 
1.7%
Other values (2) 3
 
1.3%
(Missing) 53
22.8%
ValueCountFrequency (%)
0 2
 
0.9%
1 1
 
0.4%
2 4
 
1.7%
3 8
 
3.4%
4 6
 
2.6%
5 28
12.1%
6 12
 
5.2%
7 20
8.6%
8 23
9.9%
9 36
15.5%
ValueCountFrequency (%)
11 9
 
3.9%
10 30
12.9%
9 36
15.5%
8 23
9.9%
7 20
8.6%
6 12
 
5.2%
5 28
12.1%
4 6
 
2.6%
3 8
 
3.4%
2 4
 
1.7%

지하층수
Categorical

Distinct6
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
102 
3
62 
2
29 
1
20 
5
15 

Length

Max length4
Median length1
Mean length2.3189655
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> 102
44.0%
3 62
26.7%
2 29
 
12.5%
1 20
 
8.6%
5 15
 
6.5%
0 4
 
1.7%

Length

2023-12-11T03:58:36.381189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:36.566596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 102
44.0%
3 62
26.7%
2 29
 
12.5%
1 20
 
8.6%
5 15
 
6.5%
0 4
 
1.7%

건물용도명
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
125 
문화시설
101 
근린생활시설
 
5
사무실
 
1

Length

Max length6
Median length4
Mean length4.0387931
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> 125
53.9%
문화시설 101
43.5%
근린생활시설 5
 
2.2%
사무실 1
 
0.4%

Length

2023-12-11T03:58:36.753018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:36.897144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 125
53.9%
문화시설 101
43.5%
근린생활시설 5
 
2.2%
사무실 1
 
0.4%

통로너비
Categorical

Distinct6
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
145 
1.0
44 
0.0
34 
1.1
 
7
1.2
 
1

Length

Max length4
Median length4
Mean length3.6293103
Min length3

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 145
62.5%
1.0 44
 
19.0%
0.0 34
 
14.7%
1.1 7
 
3.0%
1.2 1
 
0.4%
1.05 1
 
0.4%

Length

2023-12-11T03:58:37.077902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:37.268795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 145
62.5%
1.0 44
 
19.0%
0.0 34
 
14.7%
1.1 7
 
3.0%
1.2 1
 
0.4%
1.05 1
 
0.4%

조명시설조도
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
189 
0
43 

Length

Max length4
Median length4
Mean length3.4439655
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> 189
81.5%
0 43
 
18.5%

Length

2023-12-11T03:58:37.470871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:37.619129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 189
81.5%
0 43
 
18.5%

노래방실수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
189 
0
43 

Length

Max length4
Median length4
Mean length3.4439655
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> 189
81.5%
0 43
 
18.5%

Length

2023-12-11T03:58:37.797124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:38.000314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 189
81.5%
0 43
 
18.5%

청소년실수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
189 
0
43 

Length

Max length4
Median length4
Mean length3.4439655
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> 189
81.5%
0 43
 
18.5%

Length

2023-12-11T03:58:38.172515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:38.340856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 189
81.5%
0 43
 
18.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

총게임기수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
189 
0
43 

Length

Max length4
Median length4
Mean length3.4439655
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> 189
81.5%
0 43
 
18.5%

Length

2023-12-11T03:58:38.521930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:38.683471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 189
81.5%
0 43
 
18.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

공연장형태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
영화관
227 
자동차극장
 
5

Length

Max length5
Median length3
Mean length3.0431034
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화관 227
97.8%
자동차극장 5
 
2.2%

Length

2023-12-11T03:58:38.860452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:39.052788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화관 227
97.8%
자동차극장 5
 
2.2%

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

최초등록시점
Real number (ℝ)

Distinct49
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20080207
Minimum19620219
Maximum20210915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T03:58:39.256928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19620219
5-th percentile20001129
Q120030219
median20075766
Q320121002
95-th percentile20185217
Maximum20210915
Range590696
Interquartile range (IQR)90783

Descriptive statistics

Standard deviation71769
Coefficient of variation (CV)0.0035741165
Kurtosis12.935331
Mean20080207
Median Absolute Deviation (MAD)45461
Skewness-2.0514435
Sum4.6586081 × 109
Variance5.1507894 × 109
MonotonicityNot monotonic
2023-12-11T03:58:39.486876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
20020626 15
 
6.5%
20070911 12
 
5.2%
20110907 10
 
4.3%
20020410 10
 
4.3%
20060113 9
 
3.9%
20030219 9
 
3.9%
20080516 9
 
3.9%
20001129 7
 
3.0%
20140123 7
 
3.0%
20151215 7
 
3.0%
Other values (39) 137
59.1%
ValueCountFrequency (%)
19620219 2
 
0.9%
19960626 2
 
0.9%
19980617 1
 
0.4%
20000720 2
 
0.9%
20001123 1
 
0.4%
20001129 7
3.0%
20001223 1
 
0.4%
20011220 6
2.6%
20020118 2
 
0.9%
20020122 1
 
0.4%
ValueCountFrequency (%)
20210915 6
2.6%
20190611 6
2.6%
20180803 7
3.0%
20161212 6
2.6%
20161122 6
2.6%
20151215 7
3.0%
20141226 1
 
0.4%
20140821 1
 
0.4%
20140123 7
3.0%
20130904 6
2.6%

지역구분명
Categorical

Distinct9
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
123 
중심상업지역
50 
일반상업지역
20 
자연녹지지역
 
10
일반주거지역
 
8
Other values (4)
21 

Length

Max length6
Median length4
Mean length4.8577586
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> 123
53.0%
중심상업지역 50
21.6%
일반상업지역 20
 
8.6%
자연녹지지역 10
 
4.3%
일반주거지역 8
 
3.4%
근린상업지역 7
 
3.0%
준주거지역 7
 
3.0%
상업지역 6
 
2.6%
보전녹지지역 1
 
0.4%

Length

2023-12-11T03:58:39.864221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:58:40.062665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 123
53.0%
중심상업지역 50
21.6%
일반상업지역 20
 
8.6%
자연녹지지역 10
 
4.3%
일반주거지역 8
 
3.4%
근린상업지역 7
 
3.0%
준주거지역 7
 
3.0%
상업지역 6
 
2.6%
보전녹지지역 1
 
0.4%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01영화상영관03_13_02_P3410000CDFF422000200000000420001129<NA>3폐업3폐업20121226<NA><NA><NA>600-2114<NA><NA>대구광역시 중구 동성로2가 88-22번지대구광역시 중구 동성로 39 (동성로2가)700092씨너스 한일극장 1관20121226113323I2018-08-31 23:59:59.0<NA>344009.240936264537.611182영화상영관영화상영관<NA><NA><NA><NA>8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20001129<NA>
12영화상영관03_13_02_P3410000CDFF422000200000000520001129<NA>3폐업3폐업20121226<NA><NA><NA>600-2114<NA><NA>대구광역시 중구 동성로2가 88-22번지대구광역시 중구 동성로 39 (동성로2가)700092씨너스 한일극장 2관20121226113400I2018-08-31 23:59:59.0<NA>344009.240936264537.611182영화상영관영화상영관<NA><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>20001129<NA>
23영화상영관03_13_02_P3410000CDFF422000200000000620001129<NA>3폐업3폐업20121226<NA><NA><NA>600-2114<NA><NA>대구광역시 중구 동성로2가 88-22번지대구광역시 중구 동성로 39 (동성로2가)700092씨너스 한일극장 3관20121226113436I2018-08-31 23:59:59.0<NA>344009.240936264537.611182영화상영관영화상영관<NA><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>20001129<NA>
34영화상영관03_13_02_P3410000CDFF422000200000000720001129<NA>3폐업3폐업20121226<NA><NA><NA>600-2114<NA><NA>대구광역시 중구 동성로2가 88-22번지대구광역시 중구 동성로 39 (동성로2가)700092씨너스 한일극장 4관20121226113503I2018-08-31 23:59:59.0<NA>344009.240936264537.611182영화상영관영화상영관<NA><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>20001129<NA>
45영화상영관03_13_02_P3410000CDFF422000200000000820001129<NA>3폐업3폐업20121226<NA><NA><NA>600-2114<NA><NA>대구광역시 중구 동성로2가 88-22번지대구광역시 중구 동성로 39 (동성로2가)700092씨너스 한일극장 5관20121226113534I2018-08-31 23:59:59.0<NA>344009.240936264537.611182영화상영관영화상영관<NA><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>20001129<NA>
56영화상영관03_13_02_P3410000CDFF422000200000000920001129<NA>3폐업3폐업20121217<NA><NA><NA>600-2114<NA><NA>대구광역시 중구 동성로2가 88-22번지대구광역시 중구 동성로 39 (동성로2가)700092씨너스 한일극장 6관20121217162521I2018-08-31 23:59:59.0<NA>344009.240936264537.611182영화상영관영화상영관<NA><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>20001129<NA>
67영화상영관03_13_02_P3410000CDFF422000200000001020001129<NA>3폐업3폐업20121217<NA><NA><NA>600-2114<NA><NA>대구광역시 중구 동성로2가 88-22번지대구광역시 중구 동성로 39 (동성로2가)700092씨너스 한일극장 7관20121217162619I2018-08-31 23:59:59.0<NA>344009.240936264537.611182영화상영관영화상영관<NA><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>20001129<NA>
78영화상영관03_13_02_P3410000CDFF422000200100000220011220<NA>3폐업3폐업20100202<NA><NA><NA>427-6561<NA><NA>대구광역시 중구 남일동 65-1번지대구광역시 중구 중앙대로 412 (남일동)<NA>아카데미시네마5관20100202141250I2018-08-31 23:59:59.0<NA>343908.683407264477.417036영화상영관영화상영관<NA><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>20011220<NA>
89영화상영관03_13_02_P3410000CDFF422000200100000420011220<NA>3폐업3폐업20100202<NA><NA><NA>427-6561<NA><NA>대구광역시 중구 남일동 65-1번지대구광역시 중구 중앙대로 412 (남일동)<NA>아카데미시네마7관20100202141314I2018-08-31 23:59:59.0<NA>343908.683407264477.417036영화상영관영화상영관<NA><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>20011220<NA>
910영화상영관03_13_02_P3410000CDFF422000200100000520011220<NA>3폐업3폐업20100202<NA><NA><NA>427-6561<NA><NA>대구광역시 중구 남일동 65-1번지대구광역시 중구 중앙대로 412 (남일동)<NA>아카데미시네마3관20100202141330I2018-08-31 23:59:59.0<NA>343908.683407264477.417036영화상영관영화상영관<NA><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>20011220<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
222223영화상영관03_13_02_P3470000CDFF422000201600000620161122<NA>1영업/정상13영업중<NA><NA><NA><NA>053-635-8312<NA><NA>대구광역시 달서구 월성동 1846대구광역시 달서구 조암로 29 (월성동)42757CGV 대구월성 6관20210416182922U2021-04-18 02:40:00.0<NA>337925.121291259346.850776영화상영관<NA>10<NA><NA><NA>82<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20161122<NA>
223224영화상영관03_13_02_P3470000CDFF422000200600000620060113<NA>1영업/정상13영업중<NA><NA><NA><NA>053-584-1166<NA><NA>대구광역시 달서구 이곡동 1244-1대구광역시 달서구 성서로 414 (이곡동)42620롯데시네마 성서9 (제4관)20211216112533U2021-12-18 02:40:00.0<NA>336128.861596262620.435474영화상영관영화상영관13기타<NA><NA>103문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20060113일반상업지역
224225영화상영관03_13_02_P3480000CDFF422000200200000120020225<NA>3폐업3폐업20060728<NA><NA><NA>614-8290<NA>711841대구광역시 달성군 옥포면 간경리 856번지<NA><NA>옥포자동차극장20070129142523I2018-08-31 23:59:59.0<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
225226영화상영관03_13_02_P3480000CDFF422000201900000120190611<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 490대구광역시 달성군 현풍읍 테크노상업로 6243017롯데시네마 대구현풍120221121090600U2022-11-23 02:40:00.0<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>
226227영화상영관03_13_02_P3480000CDFF422000201900000220190611<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 490대구광역시 달성군 현풍읍 테크노상업로 6243017롯데시네마 대구현풍220221121090616U2022-11-23 02:40:00.0<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>
227228영화상영관03_13_02_P3480000CDFF422000201900000320190611<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 490대구광역시 달성군 현풍읍 테크노상업로 6243017롯데시네마 대구현풍320221121090544U2022-11-23 02:40:00.0<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>
228229영화상영관03_13_02_P3480000CDFF422000201900000420190611<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 490대구광역시 달성군 현풍읍 테크노상업로 6243017롯데시네마 대구현풍420221121090526U2022-11-23 02:40:00.0<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>
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230231영화상영관03_13_02_P3480000CDFF422000201900000620190611<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 현풍읍 중리 490대구광역시 달성군 현풍읍 테크노상업로 6243017롯데시네마 대구현풍620221121090506U2022-11-23 02:40:00.0<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>
231232영화상영관03_13_02_P3480000CDFF422000200700000120071016<NA>1영업/정상13영업중<NA><NA><NA><NA>053-608-5000<NA>711861대구광역시 달성군 가창면 냉천리 27-9번지대구광역시 달성군 가창면 가창로 891<NA>씨네밸리20090622140637I2018-08-31 23:59:59.0<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