Overview

Dataset statistics

Number of variables59
Number of observations50
Missing cells1386
Missing cells (%)47.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.5 KiB
Average record size in memory521.6 B

Variable types

Numeric9
Categorical19
Text5
Unsupported26

Dataset

Description22년07월_6270000_대구광역시_03_13_03_P_영화상영업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000094053&dataSetDetailId=DDI_0000094100&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
소재지우편번호 is highly imbalanced (69.1%)Imbalance
데이터갱신일자 is highly imbalanced (53.0%)Imbalance
총층수 is highly imbalanced (59.8%)Imbalance
시설면적 is highly imbalanced (59.8%)Imbalance
지상층수 is highly imbalanced (59.8%)Imbalance
지하층수 is highly imbalanced (59.8%)Imbalance
통로너비 is highly imbalanced (59.8%)Imbalance
조명시설조도 is highly imbalanced (59.8%)Imbalance
노래방실수 is highly imbalanced (59.8%)Imbalance
청소년실수 is highly imbalanced (59.8%)Imbalance
총게임기수 is highly imbalanced (59.8%)Imbalance
인허가취소일자 has 50 (100.0%) missing valuesMissing
폐업일자 has 33 (66.0%) missing valuesMissing
휴업시작일자 has 50 (100.0%) missing valuesMissing
휴업종료일자 has 50 (100.0%) missing valuesMissing
재개업일자 has 50 (100.0%) missing valuesMissing
소재지전화 has 21 (42.0%) missing valuesMissing
소재지면적 has 50 (100.0%) missing valuesMissing
도로명전체주소 has 6 (12.0%) missing valuesMissing
도로명우편번호 has 12 (24.0%) missing valuesMissing
업태구분명 has 50 (100.0%) missing valuesMissing
좌표정보(X) has 7 (14.0%) missing valuesMissing
좌표정보(Y) has 7 (14.0%) missing valuesMissing
문화사업자구분명 has 50 (100.0%) missing valuesMissing
주변환경명 has 50 (100.0%) missing valuesMissing
제작취급품목내용 has 50 (100.0%) missing valuesMissing
건물용도명 has 50 (100.0%) missing valuesMissing
비상계단여부 has 50 (100.0%) missing valuesMissing
비상구여부 has 50 (100.0%) missing valuesMissing
자동환기여부 has 50 (100.0%) missing valuesMissing
청소년실여부 has 50 (100.0%) missing valuesMissing
특수조명여부 has 50 (100.0%) missing valuesMissing
방음시설여부 has 50 (100.0%) missing valuesMissing
비디오재생기명 has 50 (100.0%) missing valuesMissing
조명시설유무 has 50 (100.0%) missing valuesMissing
음향시설여부 has 50 (100.0%) missing valuesMissing
편의시설여부 has 50 (100.0%) missing valuesMissing
소방시설여부 has 50 (100.0%) missing valuesMissing
기존게임업외업종명 has 50 (100.0%) missing valuesMissing
제공게임물명 has 50 (100.0%) missing valuesMissing
공연장형태구분명 has 50 (100.0%) missing valuesMissing
품목명 has 50 (100.0%) missing valuesMissing
지역구분명 has 50 (100.0%) missing valuesMissing
번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 19:31:42.209784
Analysis finished2023-12-10 19:31:42.937080
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.5
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T04:31:43.016367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.45
Q113.25
median25.5
Q337.75
95-th percentile47.55
Maximum50
Range49
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation14.57738
Coefficient of variation (CV)0.57166195
Kurtosis-1.2
Mean25.5
Median Absolute Deviation (MAD)12.5
Skewness0
Sum1275
Variance212.5
MonotonicityStrictly increasing
2023-12-11T04:31:43.228307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
39 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
영화상영업
50 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영업 50
100.0%

Length

2023-12-11T04:31:43.408838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:43.535365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영업 50
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
03_13_03_P
50 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
03_13_03_P 50
100.0%

Length

2023-12-11T04:31:43.658722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:43.805217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_13_03_p 50
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3434000
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T04:31:43.931730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3425000
Q33450000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation24243.661
Coefficient of variation (CV)0.0070598897
Kurtosis-1.4655437
Mean3434000
Median Absolute Deviation (MAD)15000
Skewness0.32403946
Sum1.717 × 108
Variance5.877551 × 108
MonotonicityIncreasing
2023-12-11T04:31:44.070198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 21
42.0%
3450000 12
24.0%
3460000 5
 
10.0%
3420000 4
 
8.0%
3470000 4
 
8.0%
3480000 2
 
4.0%
3430000 1
 
2.0%
3440000 1
 
2.0%
ValueCountFrequency (%)
3410000 21
42.0%
3420000 4
 
8.0%
3430000 1
 
2.0%
3440000 1
 
2.0%
3450000 12
24.0%
3460000 5
 
10.0%
3470000 4
 
8.0%
3480000 2
 
4.0%
ValueCountFrequency (%)
3480000 2
 
4.0%
3470000 4
 
8.0%
3460000 5
 
10.0%
3450000 12
24.0%
3440000 1
 
2.0%
3430000 1
 
2.0%
3420000 4
 
8.0%
3410000 21
42.0%

관리번호
Text

Distinct37
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-11T04:31:44.314445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1000
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

Unique28 ?
Unique (%)56.0%

Sample

1st rowCDFF5211042017000001
2nd rowCDFF5211042000000002
3rd rowCDFF5211042009000001
4th rowCDFF5211042011000001
5th rowCDFF5211042014000001
ValueCountFrequency (%)
cdff5211042000000001 3
 
6.0%
cdff5211042003000001 3
 
6.0%
cdff5211042018000001 3
 
6.0%
cdff5211042004000001 3
 
6.0%
cdff5211042015000002 2
 
4.0%
cdff5211042021000001 2
 
4.0%
cdff5211042015000001 2
 
4.0%
cdff5211042011000001 2
 
4.0%
cdff5211042009000001 2
 
4.0%
cdff5211042006000002 1
 
2.0%
Other values (27) 27
54.0%
2023-12-11T04:31:44.732051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 361
36.1%
1 168
16.8%
2 103
 
10.3%
F 100
 
10.0%
4 56
 
5.6%
5 55
 
5.5%
C 50
 
5.0%
D 50
 
5.0%
9 41
 
4.1%
3 6
 
0.6%
Other values (3) 10
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 800
80.0%
Uppercase Letter 200
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 361
45.1%
1 168
21.0%
2 103
 
12.9%
4 56
 
7.0%
5 55
 
6.9%
9 41
 
5.1%
3 6
 
0.8%
8 4
 
0.5%
7 3
 
0.4%
6 3
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 100
50.0%
C 50
25.0%
D 50
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 800
80.0%
Latin 200
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 361
45.1%
1 168
21.0%
2 103
 
12.9%
4 56
 
7.0%
5 55
 
6.9%
9 41
 
5.1%
3 6
 
0.8%
8 4
 
0.5%
7 3
 
0.4%
6 3
 
0.4%
Latin
ValueCountFrequency (%)
F 100
50.0%
C 50
25.0%
D 50
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 361
36.1%
1 168
16.8%
2 103
 
10.3%
F 100
 
10.0%
4 56
 
5.6%
5 55
 
5.5%
C 50
 
5.0%
D 50
 
5.0%
9 41
 
4.1%
3 6
 
0.6%
Other values (3) 10
 
1.0%

인허가일자
Real number (ℝ)

Distinct38
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20068688
Minimum19990810
Maximum20220224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T04:31:44.919724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990810
5-th percentile19990810
Q120000971
median20040767
Q320128261
95-th percentile20201347
Maximum20220224
Range229414
Interquartile range (IQR)127290

Descriptive statistics

Standard deviation73681.973
Coefficient of variation (CV)0.0036714894
Kurtosis-0.98891508
Mean20068688
Median Absolute Deviation (MAD)49957
Skewness0.5757134
Sum1.0034344 × 109
Variance5.4290331 × 109
MonotonicityNot monotonic
2023-12-11T04:31:45.123498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
19990810 12
24.0%
20150107 2
 
4.0%
20070305 1
 
2.0%
20220224 1
 
2.0%
20150610 1
 
2.0%
20001109 1
 
2.0%
20060706 1
 
2.0%
20030609 1
 
2.0%
20001120 1
 
2.0%
20030314 1
 
2.0%
Other values (28) 28
56.0%
ValueCountFrequency (%)
19990810 12
24.0%
20000925 1
 
2.0%
20001109 1
 
2.0%
20001120 1
 
2.0%
20001211 1
 
2.0%
20011221 1
 
2.0%
20020119 1
 
2.0%
20030314 1
 
2.0%
20030421 1
 
2.0%
20030424 1
 
2.0%
ValueCountFrequency (%)
20220224 1
2.0%
20210830 1
2.0%
20210215 1
2.0%
20190508 1
2.0%
20180813 1
2.0%
20180731 1
2.0%
20180313 1
2.0%
20150728 1
2.0%
20150610 1
2.0%
20150107 2
4.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
1
31 
3
18 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 31
62.0%
3 18
36.0%
4 1
 
2.0%

Length

2023-12-11T04:31:45.326028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:45.465269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 31
62.0%
3 18
36.0%
4 1
 
2.0%

영업상태명
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
영업/정상
31 
폐업
18 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.1
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 31
62.0%
폐업 18
36.0%
취소/말소/만료/정지/중지 1
 
2.0%

Length

2023-12-11T04:31:45.641297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:45.808190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 31
62.0%
폐업 18
36.0%
취소/말소/만료/정지/중지 1
 
2.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
13
31 
3
18 
35
 
1

Length

Max length2
Median length2
Mean length1.64
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 31
62.0%
3 18
36.0%
35 1
 
2.0%

Length

2023-12-11T04:31:45.978295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:46.137601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 31
62.0%
3 18
36.0%
35 1
 
2.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
영업중
31 
폐업
18 
직권말소
 
1

Length

Max length4
Median length3
Mean length2.66
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 31
62.0%
폐업 18
36.0%
직권말소 1
 
2.0%

Length

2023-12-11T04:31:46.333433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:46.507728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 31
62.0%
폐업 18
36.0%
직권말소 1
 
2.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing33
Missing (%)66.0%
Infinite0
Infinite (%)0.0%
Mean20151000
Minimum20100202
Maximum20220127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T04:31:46.666781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100202
5-th percentile20108143
Q120121114
median20150127
Q320190116
95-th percentile20212274
Maximum20220127
Range119925
Interquartile range (IQR)69002

Descriptive statistics

Standard deviation38040.314
Coefficient of variation (CV)0.0018877631
Kurtosis-0.97079118
Mean20151000
Median Absolute Deviation (MAD)39323
Skewness0.51959965
Sum3.4256701 × 108
Variance1.4470655 × 109
MonotonicityNot monotonic
2023-12-11T04:31:46.856848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20130131 1
 
2.0%
20121114 1
 
2.0%
20131023 1
 
2.0%
20150205 1
 
2.0%
20110525 1
 
2.0%
20200430 1
 
2.0%
20190116 1
 
2.0%
20150813 1
 
2.0%
20190125 1
 
2.0%
20150707 1
 
2.0%
Other values (7) 7
 
14.0%
(Missing) 33
66.0%
ValueCountFrequency (%)
20100202 1
2.0%
20110128 1
2.0%
20110525 1
2.0%
20110804 1
2.0%
20121114 1
2.0%
20130131 1
2.0%
20131023 1
2.0%
20140120 1
2.0%
20150127 1
2.0%
20150205 1
2.0%
ValueCountFrequency (%)
20220127 1
2.0%
20210311 1
2.0%
20200430 1
2.0%
20190125 1
2.0%
20190116 1
2.0%
20150813 1
2.0%
20150707 1
2.0%
20150205 1
2.0%
20150127 1
2.0%
20140120 1
2.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

소재지전화
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing21
Missing (%)42.0%
Memory size532.0 B
2023-12-11T04:31:47.105501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.896552
Min length8

Characters and Unicode

Total characters316
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row053-254-2900
2nd row053-600-2114
3rd row02-3393-8896
4th row257-8989
5th row431-1571
ValueCountFrequency (%)
053-254-2900 1
 
3.4%
053-425-9414 1
 
3.4%
053-257-2041 1
 
3.4%
624-7590 1
 
3.4%
656-6655 1
 
3.4%
624-3691 1
 
3.4%
053-794-3844 1
 
3.4%
665-3081 1
 
3.4%
053-310-8844 1
 
3.4%
320-3502 1
 
3.4%
Other values (19) 19
65.5%
2023-12-11T04:31:47.574650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 50
15.8%
0 45
14.2%
5 40
12.7%
3 40
12.7%
2 37
11.7%
4 33
10.4%
6 18
 
5.7%
7 16
 
5.1%
8 14
 
4.4%
1 13
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 266
84.2%
Dash Punctuation 50
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 45
16.9%
5 40
15.0%
3 40
15.0%
2 37
13.9%
4 33
12.4%
6 18
 
6.8%
7 16
 
6.0%
8 14
 
5.3%
1 13
 
4.9%
9 10
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 316
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 50
15.8%
0 45
14.2%
5 40
12.7%
3 40
12.7%
2 37
11.7%
4 33
10.4%
6 18
 
5.7%
7 16
 
5.1%
8 14
 
4.4%
1 13
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 316
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 50
15.8%
0 45
14.2%
5 40
12.7%
3 40
12.7%
2 37
11.7%
4 33
10.4%
6 18
 
5.7%
7 16
 
5.1%
8 14
 
4.4%
1 13
 
4.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
44 
700100
 
2
700120
 
1
700082
 
1
703805
 
1

Length

Max length6
Median length4
Mean length4.24
Min length4

Unique

Unique4 ?
Unique (%)8.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
88.0%
700100 2
 
4.0%
700120 1
 
2.0%
700082 1
 
2.0%
703805 1
 
2.0%
702851 1
 
2.0%

Length

2023-12-11T04:31:47.762699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:47.912804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
88.0%
700100 2
 
4.0%
700120 1
 
2.0%
700082 1
 
2.0%
703805 1
 
2.0%
702851 1
 
2.0%

소재지전체주소
Text

Distinct46
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-11T04:31:48.219621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length22.08
Min length15

Characters and Unicode

Total characters1104
Distinct characters94
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)84.0%

Sample

1st row대구광역시 중구 봉산동 150-1번지 8층
2nd row대구광역시 중구 동성로2가 88-22번지
3rd row대구광역시 중구 포정동 21-3번지 중앙상가 3층 315호
4th row대구광역시 중구 남일동 65-1번지
5th row대구광역시 중구 포정동 5
ValueCountFrequency (%)
대구광역시 50
22.5%
중구 21
 
9.5%
북구 12
 
5.4%
수성구 5
 
2.3%
화전동 5
 
2.3%
동천동 4
 
1.8%
동구 4
 
1.8%
달서구 4
 
1.8%
남일동 3
 
1.4%
본동 2
 
0.9%
Other values (100) 112
50.5%
2023-12-11T04:31:48.851702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
218
19.7%
구 101
 
9.1%
동 56
 
5.1%
대 53
 
4.8%
1 51
 
4.6%
광 50
 
4.5%
역 50
 
4.5%
시 50
 
4.5%
지 44
 
4.0%
번 43
 
3.9%
Other values (84) 388
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 655
59.3%
Space Separator 218
 
19.7%
Decimal Number 197
 
17.8%
Dash Punctuation 34
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 101
15.4%
동 56
 
8.5%
대 53
 
8.1%
광 50
 
7.6%
역 50
 
7.6%
시 50
 
7.6%
지 44
 
6.7%
번 43
 
6.6%
중 23
 
3.5%
성 13
 
2.0%
Other values (72) 172
26.3%
Decimal Number
ValueCountFrequency (%)
1 51
25.9%
2 30
15.2%
5 19
 
9.6%
4 16
 
8.1%
0 16
 
8.1%
3 15
 
7.6%
6 15
 
7.6%
9 13
 
6.6%
7 12
 
6.1%
8 10
 
5.1%
Space Separator
ValueCountFrequency (%)
218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 655
59.3%
Common 449
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 101
15.4%
동 56
 
8.5%
대 53
 
8.1%
광 50
 
7.6%
역 50
 
7.6%
시 50
 
7.6%
지 44
 
6.7%
번 43
 
6.6%
중 23
 
3.5%
성 13
 
2.0%
Other values (72) 172
26.3%
Common
ValueCountFrequency (%)
218
48.6%
1 51
 
11.4%
- 34
 
7.6%
2 30
 
6.7%
5 19
 
4.2%
4 16
 
3.6%
0 16
 
3.6%
3 15
 
3.3%
6 15
 
3.3%
9 13
 
2.9%
Other values (2) 22
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 655
59.3%
ASCII 449
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
218
48.6%
1 51
 
11.4%
- 34
 
7.6%
2 30
 
6.7%
5 19
 
4.2%
4 16
 
3.6%
0 16
 
3.6%
3 15
 
3.3%
6 15
 
3.3%
9 13
 
2.9%
Other values (2) 22
 
4.9%
Hangul
ValueCountFrequency (%)
구 101
15.4%
동 56
 
8.5%
대 53
 
8.1%
광 50
 
7.6%
역 50
 
7.6%
시 50
 
7.6%
지 44
 
6.7%
번 43
 
6.6%
중 23
 
3.5%
성 13
 
2.0%
Other values (72) 172
26.3%

도로명전체주소
Text

MISSING 

Distinct40
Distinct (%)90.9%
Missing6
Missing (%)12.0%
Memory size532.0 B
2023-12-11T04:31:49.338271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36.5
Mean length26.045455
Min length20

Characters and Unicode

Total characters1146
Distinct characters123
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)81.8%

Sample

1st row대구광역시 중구 달구벌대로 2127, 8층 (봉산동)
2nd row대구광역시 중구 동성로 39 (동성로2가)
3rd row대구광역시 중구 경상감영길 101, 315호 (포정동,중앙상가 3층)
4th row대구광역시 중구 중앙대로 412 (남일동)
5th row대구광역시 중구 경상감영길 137 (포정동)
ValueCountFrequency (%)
대구광역시 44
 
18.3%
중구 17
 
7.1%
북구 11
 
4.6%
수성구 5
 
2.1%
동천동 4
 
1.7%
동암로 4
 
1.7%
중앙대로 4
 
1.7%
동구 4
 
1.7%
동성로 4
 
1.7%
달서구 3
 
1.2%
Other values (120) 140
58.3%
2023-12-11T04:31:49.943916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
199
17.4%
구 93
 
8.1%
동 62
 
5.4%
대 55
 
4.8%
로 45
 
3.9%
광 44
 
3.8%
역 44
 
3.8%
시 44
 
3.8%
) 42
 
3.7%
( 42
 
3.7%
Other values (113) 476
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 679
59.2%
Space Separator 199
 
17.4%
Decimal Number 164
 
14.3%
Close Punctuation 42
 
3.7%
Open Punctuation 42
 
3.7%
Other Punctuation 14
 
1.2%
Dash Punctuation 5
 
0.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 93
 
13.7%
동 62
 
9.1%
대 55
 
8.1%
로 45
 
6.6%
광 44
 
6.5%
역 44
 
6.5%
시 44
 
6.5%
중 23
 
3.4%
성 18
 
2.7%
북 11
 
1.6%
Other values (97) 240
35.3%
Decimal Number
ValueCountFrequency (%)
1 32
19.5%
2 24
14.6%
0 22
13.4%
4 20
12.2%
9 13
7.9%
5 13
7.9%
3 13
7.9%
6 11
 
6.7%
7 10
 
6.1%
8 6
 
3.7%
Space Separator
ValueCountFrequency (%)
199
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 679
59.2%
Common 466
40.7%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 93
 
13.7%
동 62
 
9.1%
대 55
 
8.1%
로 45
 
6.6%
광 44
 
6.5%
역 44
 
6.5%
시 44
 
6.5%
중 23
 
3.4%
성 18
 
2.7%
북 11
 
1.6%
Other values (97) 240
35.3%
Common
ValueCountFrequency (%)
199
42.7%
) 42
 
9.0%
( 42
 
9.0%
1 32
 
6.9%
2 24
 
5.2%
0 22
 
4.7%
4 20
 
4.3%
, 14
 
3.0%
9 13
 
2.8%
5 13
 
2.8%
Other values (5) 45
 
9.7%
Latin
ValueCountFrequency (%)
M 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 679
59.2%
ASCII 467
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
199
42.6%
) 42
 
9.0%
( 42
 
9.0%
1 32
 
6.9%
2 24
 
5.1%
0 22
 
4.7%
4 20
 
4.3%
, 14
 
3.0%
9 13
 
2.8%
5 13
 
2.8%
Other values (6) 46
 
9.9%
Hangul
ValueCountFrequency (%)
구 93
 
13.7%
동 62
 
9.1%
대 55
 
8.1%
로 45
 
6.6%
광 44
 
6.5%
역 44
 
6.5%
시 44
 
6.5%
중 23
 
3.4%
성 18
 
2.7%
북 11
 
1.6%
Other values (97) 240
35.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)78.9%
Missing12
Missing (%)24.0%
Infinite0
Infinite (%)0.0%
Mean545396.58
Minimum41007
Maximum706130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T04:31:50.129373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41007
5-th percentile41353.25
Q1700022.5
median700135
Q3702838.5
95-th percentile703955.3
Maximum706130
Range665123
Interquartile range (IQR)2816

Descriptive statistics

Standard deviation284217.62
Coefficient of variation (CV)0.52112101
Kurtosis-0.35920775
Mean545396.58
Median Absolute Deviation (MAD)2693
Skewness-1.289341
Sum20725070
Variance8.0779653 × 1010
MonotonicityNot monotonic
2023-12-11T04:31:50.306148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
702885 4
 
8.0%
700100 3
 
6.0%
700091 2
 
4.0%
42009 2
 
4.0%
700060 2
 
4.0%
43017 1
 
2.0%
42934 1
 
2.0%
704807 1
 
2.0%
706130 1
 
2.0%
702803 1
 
2.0%
Other values (20) 20
40.0%
(Missing) 12
24.0%
ValueCountFrequency (%)
41007 1
2.0%
41026 1
2.0%
41411 1
2.0%
41943 1
2.0%
42009 2
4.0%
42422 1
2.0%
42934 1
2.0%
43017 1
2.0%
700010 1
2.0%
700060 2
4.0%
ValueCountFrequency (%)
706130 1
 
2.0%
704807 1
 
2.0%
703805 1
 
2.0%
702892 1
 
2.0%
702885 4
8.0%
702851 1
 
2.0%
702849 1
 
2.0%
702807 1
 
2.0%
702803 1
 
2.0%
702715 1
 
2.0%

사업장명
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-11T04:31:50.609514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length8.34
Min length3

Characters and Unicode

Total characters417
Distinct characters129
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row주식회사 티씨엔프로덕션
2nd row(주)씨네씨티한일
3rd row대경영화사
4th row주식회사 대원아카데미
5th row그레이스 실버 영화관
ValueCountFrequency (%)
주식회사 9
 
12.2%
롯데시네마 2
 
2.7%
지원이엔씨 1
 
1.4%
주 1
 
1.4%
에이치와이 1
 
1.4%
대구 1
 
1.4%
테크노폴리스 1
 
1.4%
미오시네마 1
 
1.4%
메가박스 1
 
1.4%
칠곡점 1
 
1.4%
Other values (55) 55
74.3%
2023-12-11T04:31:51.534264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
5.8%
주 22
 
5.3%
) 14
 
3.4%
네 13
 
3.1%
대 13
 
3.1%
( 13
 
3.1%
시 13
 
3.1%
사 13
 
3.1%
이 12
 
2.9%
회 11
 
2.6%
Other values (119) 269
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 365
87.5%
Space Separator 24
 
5.8%
Close Punctuation 14
 
3.4%
Open Punctuation 13
 
3.1%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 22
 
6.0%
네 13
 
3.6%
대 13
 
3.6%
시 13
 
3.6%
사 13
 
3.6%
이 12
 
3.3%
회 11
 
3.0%
구 11
 
3.0%
씨 10
 
2.7%
아 10
 
2.7%
Other values (115) 237
64.9%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 365
87.5%
Common 52
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 22
 
6.0%
네 13
 
3.6%
대 13
 
3.6%
시 13
 
3.6%
사 13
 
3.6%
이 12
 
3.3%
회 11
 
3.0%
구 11
 
3.0%
씨 10
 
2.7%
아 10
 
2.7%
Other values (115) 237
64.9%
Common
ValueCountFrequency (%)
24
46.2%
) 14
26.9%
( 13
25.0%
2 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 365
87.5%
ASCII 52
 
12.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
46.2%
) 14
26.9%
( 13
25.0%
2 1
 
1.9%
Hangul
ValueCountFrequency (%)
주 22
 
6.0%
네 13
 
3.6%
대 13
 
3.6%
시 13
 
3.6%
사 13
 
3.6%
이 12
 
3.3%
회 11
 
3.0%
구 11
 
3.0%
씨 10
 
2.7%
아 10
 
2.7%
Other values (115) 237
64.9%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0148854 × 1013
Minimum2.0100706 × 1013
Maximum2.0220404 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T04:31:51.760695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0100706 × 1013
5-th percentile2.0100706 × 1013
Q12.0111207 × 1013
median2.0145114 × 1013
Q32.0181049 × 1013
95-th percentile2.0215997 × 1013
Maximum2.0220404 × 1013
Range1.1969798 × 1011
Interquartile range (IQR)6.9841455 × 1010

Descriptive statistics

Standard deviation3.9428754 × 1010
Coefficient of variation (CV)0.0019568733
Kurtosis-1.1575006
Mean2.0148854 × 1013
Median Absolute Deviation (MAD)3.4106001 × 1010
Skewness0.4483564
Sum1.0074427 × 1015
Variance1.5546267 × 1021
MonotonicityNot monotonic
2023-12-11T04:31:51.957561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190125174254 1
 
2.0%
20190116104718 1
 
2.0%
20150819151903 1
 
2.0%
20150128092304 1
 
2.0%
20161208154356 1
 
2.0%
20150819151554 1
 
2.0%
20210830133833 1
 
2.0%
20150728141546 1
 
2.0%
20130708145539 1
 
2.0%
20181127094044 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
20100706151157 1
2.0%
20100706151543 1
2.0%
20100706155012 1
2.0%
20100706161930 1
2.0%
20100706162105 1
2.0%
20101029092839 1
2.0%
20110128143845 1
2.0%
20110526103550 1
2.0%
20110809132323 1
2.0%
20111207152210 1
2.0%
ValueCountFrequency (%)
20220404135618 1
2.0%
20220308151023 1
2.0%
20220224090312 1
2.0%
20210830133833 1
2.0%
20210324114752 1
2.0%
20210318094255 1
2.0%
20210215182955 1
2.0%
20200507165532 1
2.0%
20190724101509 1
2.0%
20190125174254 1
2.0%

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
I
40 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 40
80.0%
U 10
 
20.0%

Length

2023-12-11T04:31:52.165461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:52.321134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 40
80.0%
u 10
 
20.0%

데이터갱신일자
Categorical

IMBALANCE 

Distinct14
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2018-08-31 23:59:59.0
37 
2019-01-27 02:40:00.0
 
1
2021-03-20 02:40:00.0
 
1
2019-01-12 02:40:00.0
 
1
2022-03-10 02:40:00.0
 
1
Other values (9)
9 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique13 ?
Unique (%)26.0%

Sample

1st row2019-01-27 02:40:00.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2021-03-20 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 37
74.0%
2019-01-27 02:40:00.0 1
 
2.0%
2021-03-20 02:40:00.0 1
 
2.0%
2019-01-12 02:40:00.0 1
 
2.0%
2022-03-10 02:40:00.0 1
 
2.0%
2021-03-26 02:40:00.0 1
 
2.0%
2022-04-07 02:40:00.0 1
 
2.0%
2021-09-01 00:22:50.0 1
 
2.0%
2018-11-29 02:40:00.0 1
 
2.0%
2019-01-18 02:40:00.0 1
 
2.0%
Other values (4) 4
 
8.0%

Length

2023-12-11T04:31:52.484812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 37
37.0%
23:59:59.0 37
37.0%
02:40:00.0 10
 
10.0%
2018-11-29 1
 
1.0%
00:23:02.0 1
 
1.0%
2021-02-17 1
 
1.0%
00:22:49.0 1
 
1.0%
2022-02-26 1
 
1.0%
2020-05-09 1
 
1.0%
2019-01-18 1
 
1.0%
Other values (9) 9
 
9.0%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)90.7%
Missing7
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean343871.79
Minimum338956.04
Maximum352598.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T04:31:52.639308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum338956.04
5-th percentile339485.5
Q1341171.81
median343954.05
Q3344628.5
95-th percentile347756.93
Maximum352598.52
Range13642.474
Interquartile range (IQR)3456.6861

Descriptive statistics

Standard deviation3045.4552
Coefficient of variation (CV)0.0088563683
Kurtosis1.2095564
Mean343871.79
Median Absolute Deviation (MAD)1296.7091
Skewness0.73983331
Sum14786487
Variance9274797.5
MonotonicityNot monotonic
2023-12-11T04:31:52.829005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
343968.183174 2
 
4.0%
340718.253609 2
 
4.0%
340843.629081 2
 
4.0%
343908.683407 2
 
4.0%
339006.509117 1
 
2.0%
339459.676122 1
 
2.0%
339717.871628 1
 
2.0%
345250.756579 1
 
2.0%
346570.538105 1
 
2.0%
341042.064148 1
 
2.0%
Other values (29) 29
58.0%
(Missing) 7
 
14.0%
ValueCountFrequency (%)
338956.044067 1
2.0%
339006.509117 1
2.0%
339459.676122 1
2.0%
339717.871628 1
2.0%
340011.737583 1
2.0%
340383.716322 1
2.0%
340718.253609 2
4.0%
340843.629081 2
4.0%
341042.064148 1
2.0%
341301.554735 1
2.0%
ValueCountFrequency (%)
352598.518291 1
2.0%
352045.000328 1
2.0%
347764.315977 1
2.0%
347690.434441 1
2.0%
347543.746817 1
2.0%
347435.764172 1
2.0%
347005.779577 1
2.0%
346570.538105 1
2.0%
346135.89679 1
2.0%
345250.756579 1
2.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)90.7%
Missing7
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean265756.34
Minimum257081.63
Maximum277668.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T04:31:53.039608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum257081.63
5-th percentile259318.74
Q1263897.13
median264745.48
Q3269350.36
95-th percentile272659.66
Maximum277668.6
Range20586.975
Interquartile range (IQR)5453.2261

Descriptive statistics

Standard deviation4454.7442
Coefficient of variation (CV)0.016762514
Kurtosis0.096643117
Mean265756.34
Median Absolute Deviation (MAD)1795.6057
Skewness0.5858931
Sum11427523
Variance19844746
MonotonicityNot monotonic
2023-12-11T04:31:53.225508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
264771.421314 2
 
4.0%
272659.975074 2
 
4.0%
272656.837766 2
 
4.0%
264477.417036 2
 
4.0%
260745.72604 1
 
2.0%
271655.049732 1
 
2.0%
271412.222623 1
 
2.0%
268519.387279 1
 
2.0%
257081.626055 1
 
2.0%
272450.218487 1
 
2.0%
Other values (29) 29
58.0%
(Missing) 7
 
14.0%
ValueCountFrequency (%)
257081.626055 1
2.0%
258966.954321 1
2.0%
259292.93211 1
2.0%
259551.002452 1
2.0%
260250.791065 1
2.0%
260745.72604 1
2.0%
262585.135012 1
2.0%
262835.199453 1
2.0%
262938.891984 1
2.0%
262949.871621 1
2.0%
ValueCountFrequency (%)
277668.600658 1
2.0%
272659.975074 2
4.0%
272656.837766 2
4.0%
272450.218487 1
2.0%
271655.049732 1
2.0%
271412.222623 1
2.0%
270271.225719 1
2.0%
270268.605603 1
2.0%
270181.333117 1
2.0%
268519.387279 1
2.0%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
영화상영업
50 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영업 50
100.0%

Length

2023-12-11T04:31:53.430017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:53.568102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영업 50
100.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
46 
0
 
4

Length

Max length4
Median length4
Mean length3.76
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
92.0%
0 4
 
8.0%

Length

2023-12-11T04:31:53.741835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:53.886454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
92.0%
0 4
 
8.0%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
46 
0
 
4

Length

Max length4
Median length4
Mean length3.76
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
92.0%
0 4
 
8.0%

Length

2023-12-11T04:31:54.061367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:54.205924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
92.0%
0 4
 
8.0%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
46 
0
 
4

Length

Max length4
Median length4
Mean length3.76
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
92.0%
0 4
 
8.0%

Length

2023-12-11T04:31:54.413731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:54.608628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
92.0%
0 4
 
8.0%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
46 
0
 
4

Length

Max length4
Median length4
Mean length3.76
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
92.0%
0 4
 
8.0%

Length

2023-12-11T04:31:54.783180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:54.958365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
92.0%
0 4
 
8.0%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
46 
0
 
4

Length

Max length4
Median length4
Mean length3.76
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
92.0%
0 4
 
8.0%

Length

2023-12-11T04:31:55.137314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:55.286506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
92.0%
0 4
 
8.0%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
46 
0
 
4

Length

Max length4
Median length4
Mean length3.76
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
92.0%
0 4
 
8.0%

Length

2023-12-11T04:31:55.461975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:55.603986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
92.0%
0 4
 
8.0%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
46 
0
 
4

Length

Max length4
Median length4
Mean length3.76
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
92.0%
0 4
 
8.0%

Length

2023-12-11T04:31:55.763700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:55.888862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
92.0%
0 4
 
8.0%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
46 
0
 
4

Length

Max length4
Median length4
Mean length3.76
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
92.0%
0 4
 
8.0%

Length

2023-12-11T04:31:56.041781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:56.207980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
92.0%
0 4
 
8.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
46 
0
 
4

Length

Max length4
Median length4
Mean length3.76
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
92.0%
0 4
 
8.0%

Length

2023-12-11T04:31:56.354751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:56.509922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
92.0%
0 4
 
8.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

최초등록시점
Real number (ℝ)

Distinct38
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20068688
Minimum19990810
Maximum20220224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-11T04:31:56.670859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990810
5-th percentile19990810
Q120000971
median20040767
Q320128261
95-th percentile20201347
Maximum20220224
Range229414
Interquartile range (IQR)127290

Descriptive statistics

Standard deviation73681.973
Coefficient of variation (CV)0.0036714894
Kurtosis-0.98891508
Mean20068688
Median Absolute Deviation (MAD)49957
Skewness0.5757134
Sum1.0034344 × 109
Variance5.4290331 × 109
MonotonicityNot monotonic
2023-12-11T04:31:56.879884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
19990810 12
24.0%
20150107 2
 
4.0%
20070305 1
 
2.0%
20220224 1
 
2.0%
20150610 1
 
2.0%
20001109 1
 
2.0%
20060706 1
 
2.0%
20030609 1
 
2.0%
20001120 1
 
2.0%
20030314 1
 
2.0%
Other values (28) 28
56.0%
ValueCountFrequency (%)
19990810 12
24.0%
20000925 1
 
2.0%
20001109 1
 
2.0%
20001120 1
 
2.0%
20001211 1
 
2.0%
20011221 1
 
2.0%
20020119 1
 
2.0%
20030314 1
 
2.0%
20030421 1
 
2.0%
20030424 1
 
2.0%
ValueCountFrequency (%)
20220224 1
2.0%
20210830 1
2.0%
20210215 1
2.0%
20190508 1
2.0%
20180813 1
2.0%
20180731 1
2.0%
20180313 1
2.0%
20150728 1
2.0%
20150610 1
2.0%
20150107 2
4.0%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
01영화상영업03_13_03_P3410000CDFF521104201700000120070305<NA>3폐업3폐업20190125<NA><NA><NA>053-254-2900<NA><NA>대구광역시 중구 봉산동 150-1번지 8층대구광역시 중구 달구벌대로 2127, 8층 (봉산동)41943주식회사 티씨엔프로덕션20190125174254U2019-01-27 02:40:00.0<NA>344137.067824263958.211083영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070305<NA>
12영화상영업03_13_03_P3410000CDFF521104200000000220001211<NA>3폐업3폐업20130131<NA><NA><NA>053-600-2114<NA><NA>대구광역시 중구 동성로2가 88-22번지대구광역시 중구 동성로 39 (동성로2가)700092(주)씨네씨티한일20130131150349I2018-08-31 23:59:59.0<NA>344009.240936264537.611182영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20001211<NA>
23영화상영업03_13_03_P3410000CDFF521104200900000120090819<NA>3폐업3폐업20100202<NA><NA><NA>02-3393-8896<NA><NA>대구광역시 중구 포정동 21-3번지 중앙상가 3층 315호대구광역시 중구 경상감영길 101, 315호 (포정동,중앙상가 3층)<NA>대경영화사20100706161930I2018-08-31 23:59:59.0<NA>343800.362369264745.47733영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090819<NA>
34영화상영업03_13_03_P3410000CDFF521104201100000120111227<NA>3폐업3폐업20140120<NA><NA><NA>257-8989<NA><NA>대구광역시 중구 남일동 65-1번지대구광역시 중구 중앙대로 412 (남일동)700060주식회사 대원아카데미20140121102315I2018-08-31 23:59:59.0<NA>343908.683407264477.417036영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20111227<NA>
45영화상영업03_13_03_P3410000CDFF521104201400000120140829<NA>3폐업3폐업20210311<NA><NA><NA>431-1571<NA><NA>대구광역시 중구 포정동 5대구광역시 중구 경상감영길 137 (포정동)700010그레이스 실버 영화관20210318094255U2021-03-20 02:40:00.0<NA>343969.87694264746.212921영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20140829<NA>
56영화상영업03_13_03_P3410000CDFF521104199900000219990810<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남일동 65-1번지대구광역시 중구 중앙대로 412 (남일동)700060(주)아카데미시네마20111207152210I2018-08-31 23:59:59.0<NA>343908.683407264477.417036영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990810<NA>
67영화상영업03_13_03_P3410000CDFF521104199900000319990810<NA>1영업/정상13영업중<NA><NA><NA><NA>053-427-4013<NA>700120대구광역시 중구 용덕동 5-9번지대구광역시 중구 동성로 80-11 (용덕동)700120명보극장20131226145252I2018-08-31 23:59:59.0<NA>344106.292661264928.558509영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990810<NA>
78영화상영업03_13_03_P3410000CDFF521104199900000419990810<NA>1영업/정상13영업중<NA><NA><NA><NA>053-431-4884<NA><NA>대구광역시 중구 전동 1번지<NA><NA>(주)경덕20100706151157I2018-08-31 23:59:59.0<NA>343813.891456264645.89957영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990810<NA>
89영화상영업03_13_03_P3410000CDFF521104199900000519990810<NA>1영업/정상13영업중<NA><NA><NA><NA>053-422-7735<NA>700100대구광역시 중구 화전동 14번지<NA><NA>(주)자유극장20100706151543I2018-08-31 23:59:59.0<NA><NA><NA>영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990810<NA>
910영화상영업03_13_03_P3410000CDFF521104199900000619990810<NA>1영업/정상13영업중<NA><NA><NA><NA>053-425-2845<NA><NA>대구광역시 중구 동성로1가 22-1번지대구광역시 중구 동성로 69 (동성로1가)700091동성아트홀20150429110211I2018-08-31 23:59:59.0<NA>344030.67772264814.832222영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990810<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
4041영화상영업03_13_03_P3460000CDFF521104200300000120030314<NA>3폐업3폐업<NA><NA><NA><NA>053-794-3844<NA><NA>대구광역시 수성구 대흥동 산 35번지대구광역시 수성구 월드컵로 2-46 (대흥동)706130씨네월드컵20160419190849I2018-08-31 23:59:59.0<NA>352045.000328259551.002452영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20030314<NA>
4142영화상영업03_13_03_P3460000CDFF521104201000000120101029<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 지산동 1200번지 목련아파트 7동 505호대구광역시 수성구 용학로42길 13, 7동 505호 (지산동,목련아파트)<NA>대봉문화영상기획20101029092839I2018-08-31 23:59:59.0<NA>347435.764172258966.954321영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20101029<NA>
4243영화상영업03_13_03_P3460000CDFF521104202200000120220224<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 범어동 2262 범어 더 리브스퀘어대구광역시 수성구 범어천로 214, 범어 더 리브스퀘어 5층 521호 (범어동)42009주식회사 씨네범어20220224090312I2022-02-26 00:22:49.0<NA><NA><NA>영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20220224<NA>
4344영화상영업03_13_03_P3460000CDFF521104202100000120210215<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 수성동4가 1012-1대구광역시 수성구 범어천로 209 (수성동4가)42009주식회사 부성20210215182955I2021-02-17 00:23:02.0<NA>346135.89679263836.057081영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20210215<NA>
4445영화상영업03_13_03_P3470000CDFF521104200100000120011221<NA>3폐업3폐업20110525<NA><NA><NA>624-3691<NA><NA>대구광역시 달서구 본동 1117번지<NA><NA>대구시네파크20110526103550I2018-08-31 23:59:59.0<NA>338956.044067260250.791065영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20011221<NA>
4546영화상영업03_13_03_P3470000CDFF521104200300000120030421<NA>3폐업3폐업20150205<NA><NA><NA>656-6655<NA><NA>대구광역시 달서구 송현동 702번지대구광역시 달서구 앞산순환로 180 (송현동)<NA>대구광역시청소년수련원20150205162529I2018-08-31 23:59:59.0<NA>340383.716322259292.93211영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20030421<NA>
4647영화상영업03_13_03_P3470000CDFF521104200400000120040427<NA>3폐업3폐업20131023<NA><NA><NA>624-7590<NA><NA>대구광역시 달서구 두류동 산 302-11번지대구광역시 달서구 두류공원로 200 (두류동)<NA>씨네타워20131023130620I2018-08-31 23:59:59.0<NA>341301.554735262585.135012영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20040427<NA>
4748영화상영업03_13_03_P3470000CDFF521104200400000220040909<NA>3폐업3폐업20121114<NA><NA><NA><NA><NA><NA>대구광역시 달서구 본동 764-2번지대구광역시 달서구 구마로 106 (본동)704807진필름20121114100237I2018-08-31 23:59:59.0<NA>339006.509117260745.72604영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20040909<NA>
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