Overview

Dataset statistics

Number of variables63
Number of observations92
Missing cells3305
Missing cells (%)57.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory49.6 KiB
Average record size in memory552.4 B

Variable types

Numeric11
Categorical14
Text5
Unsupported33

Dataset

Description6270000_대구광역시_03_06_01_P_공연장_10월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000075622&dataSetDetailId=DDI_0000075636&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
상세영업상태코드 is highly imbalanced (55.3%)Imbalance
상세영업상태명 is highly imbalanced (55.3%)Imbalance
데이터갱신일자 is highly imbalanced (53.6%)Imbalance
인허가취소일자 has 92 (100.0%) missing valuesMissing
폐업일자 has 75 (81.5%) missing valuesMissing
휴업시작일자 has 92 (100.0%) missing valuesMissing
휴업종료일자 has 92 (100.0%) missing valuesMissing
재개업일자 has 92 (100.0%) missing valuesMissing
소재지전화 has 18 (19.6%) missing valuesMissing
소재지면적 has 92 (100.0%) missing valuesMissing
소재지우편번호 has 29 (31.5%) missing valuesMissing
도로명전체주소 has 3 (3.3%) missing valuesMissing
도로명우편번호 has 9 (9.8%) missing valuesMissing
업태구분명 has 92 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.1%) missing valuesMissing
좌표정보(Y) has 1 (1.1%) missing valuesMissing
총층수 has 68 (73.9%) missing valuesMissing
제작취급품목내용 has 92 (100.0%) missing valuesMissing
보험기관명 has 92 (100.0%) missing valuesMissing
지상층수 has 65 (70.7%) missing valuesMissing
객실수 has 92 (100.0%) missing valuesMissing
건축연면적 has 92 (100.0%) missing valuesMissing
영문상호명 has 92 (100.0%) missing valuesMissing
영문상호주소 has 92 (100.0%) missing valuesMissing
선박총톤수 has 92 (100.0%) missing valuesMissing
선박척수 has 92 (100.0%) missing valuesMissing
선박제원 has 92 (100.0%) missing valuesMissing
무대면적 has 92 (100.0%) missing valuesMissing
좌석수 has 92 (100.0%) missing valuesMissing
기념품종류 has 92 (100.0%) missing valuesMissing
회의실별동시수용인원 has 92 (100.0%) missing valuesMissing
시설면적 has 92 (100.0%) missing valuesMissing
놀이기구수내역 has 92 (100.0%) missing valuesMissing
놀이시설수 has 92 (100.0%) missing valuesMissing
방송시설유무 has 92 (100.0%) missing valuesMissing
발전시설유무 has 92 (100.0%) missing valuesMissing
의무실유무 has 92 (100.0%) missing valuesMissing
안내소유무 has 92 (100.0%) missing valuesMissing
기획여행보험시작일자 has 92 (100.0%) missing valuesMissing
기획여행보험종료일자 has 92 (100.0%) missing valuesMissing
자본금 has 92 (100.0%) missing valuesMissing
보험시작일자 has 92 (100.0%) missing valuesMissing
보험종료일자 has 92 (100.0%) missing valuesMissing
부대시설내역 has 92 (100.0%) missing valuesMissing
시설규모 has 92 (100.0%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
객실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축연면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이시설수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자본금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 20:19:46.728806
Analysis finished2023-12-10 20:19:47.578068
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.5
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-11T05:19:47.675906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.55
Q123.75
median46.5
Q369.25
95-th percentile87.45
Maximum92
Range91
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation26.70206
Coefficient of variation (CV)0.57423785
Kurtosis-1.2
Mean46.5
Median Absolute Deviation (MAD)23
Skewness0
Sum4278
Variance713
MonotonicityStrictly increasing
2023-12-11T05:19:47.893017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
60 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
Other values (82) 82
89.1%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
공연장
92 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 92
100.0%

Length

2023-12-11T05:19:48.083673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:48.201643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 92
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
03_06_01_P
92 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_06_01_P
2nd row03_06_01_P
3rd row03_06_01_P
4th row03_06_01_P
5th row03_06_01_P

Common Values

ValueCountFrequency (%)
03_06_01_P 92
100.0%

Length

2023-12-11T05:19:48.339170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:48.450867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_06_01_p 92
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3437173.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-11T05:19:48.560843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3440000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation22790.305
Coefficient of variation (CV)0.0066305358
Kurtosis-1.3509681
Mean3437173.9
Median Absolute Deviation (MAD)20000
Skewness0.11274114
Sum3.1622 × 108
Variance5.1939799 × 108
MonotonicityIncreasing
2023-12-11T05:19:48.725726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 29
31.5%
3440000 21
22.8%
3470000 12
13.0%
3460000 11
 
12.0%
3450000 9
 
9.8%
3420000 6
 
6.5%
3430000 2
 
2.2%
3480000 2
 
2.2%
ValueCountFrequency (%)
3410000 29
31.5%
3420000 6
 
6.5%
3430000 2
 
2.2%
3440000 21
22.8%
3450000 9
 
9.8%
3460000 11
 
12.0%
3470000 12
13.0%
3480000 2
 
2.2%
ValueCountFrequency (%)
3480000 2
 
2.2%
3470000 12
13.0%
3460000 11
 
12.0%
3450000 9
 
9.8%
3440000 21
22.8%
3430000 2
 
2.2%
3420000 6
 
6.5%
3410000 29
31.5%

관리번호
Text

Distinct48
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-12-11T05:19:49.047418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1840
Distinct characters14
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

Unique23 ?
Unique (%)25.0%

Sample

1st rowCDFE1230002012000001
2nd rowCDFE1230002010000001
3rd rowCDFE1230002011000001
4th rowCDFE1230002012000002
5th rowCDFE1230002004000001
ValueCountFrequency (%)
cdfe1230002004000001 6
 
6.5%
cdfe1230002018000001 5
 
5.4%
cdfe1230002012000001 4
 
4.3%
cdfe1230002016000001 4
 
4.3%
cdfe1230002017000001 4
 
4.3%
cdfe1230002002000001 4
 
4.3%
cdfe1230002009000001 3
 
3.3%
cdfe1230002013000001 3
 
3.3%
cdfe1230002003000001 3
 
3.3%
cdfe1230002011000001 3
 
3.3%
Other values (38) 53
57.6%
2023-12-11T05:19:49.546747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 863
46.9%
2 215
 
11.7%
1 207
 
11.2%
3 119
 
6.5%
C 92
 
5.0%
D 92
 
5.0%
F 92
 
5.0%
E 92
 
5.0%
4 17
 
0.9%
7 14
 
0.8%
Other values (4) 37
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1472
80.0%
Uppercase Letter 368
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 863
58.6%
2 215
 
14.6%
1 207
 
14.1%
3 119
 
8.1%
4 17
 
1.2%
7 14
 
1.0%
9 11
 
0.7%
8 10
 
0.7%
5 10
 
0.7%
6 6
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 92
25.0%
D 92
25.0%
F 92
25.0%
E 92
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1472
80.0%
Latin 368
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 863
58.6%
2 215
 
14.6%
1 207
 
14.1%
3 119
 
8.1%
4 17
 
1.2%
7 14
 
1.0%
9 11
 
0.7%
8 10
 
0.7%
5 10
 
0.7%
6 6
 
0.4%
Latin
ValueCountFrequency (%)
C 92
25.0%
D 92
25.0%
F 92
25.0%
E 92
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 863
46.9%
2 215
 
11.7%
1 207
 
11.2%
3 119
 
6.5%
C 92
 
5.0%
D 92
 
5.0%
F 92
 
5.0%
E 92
 
5.0%
4 17
 
0.9%
7 14
 
0.8%
Other values (4) 37
 
2.0%

인허가일자
Real number (ℝ)

Distinct80
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20101031
Minimum19930910
Maximum20190612
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-11T05:19:49.802174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930910
5-th percentile20021122
Q120040666
median20111230
Q320160495
95-th percentile20180563
Maximum20190612
Range259702
Interquartile range (IQR)119829

Descriptive statistics

Standard deviation62482.24
Coefficient of variation (CV)0.0031084097
Kurtosis-1.0348893
Mean20101031
Median Absolute Deviation (MAD)59245
Skewness-0.33984589
Sum1.8492949 × 109
Variance3.9040303 × 109
MonotonicityNot monotonic
2023-12-11T05:19:50.001602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021122 4
 
4.3%
20021231 3
 
3.3%
20111230 3
 
3.3%
20070425 2
 
2.2%
20030305 2
 
2.2%
20161104 2
 
2.2%
20021226 2
 
2.2%
20180521 2
 
2.2%
20110916 1
 
1.1%
20170904 1
 
1.1%
Other values (70) 70
76.1%
ValueCountFrequency (%)
19930910 1
 
1.1%
19980918 1
 
1.1%
19990421 1
 
1.1%
20021122 4
4.3%
20021226 2
2.2%
20021231 3
3.3%
20030106 1
 
1.1%
20030107 1
 
1.1%
20030121 1
 
1.1%
20030123 1
 
1.1%
ValueCountFrequency (%)
20190612 1
1.1%
20181211 1
1.1%
20181207 1
1.1%
20181122 1
1.1%
20180615 1
1.1%
20180521 2
2.2%
20180514 1
1.1%
20180330 1
1.1%
20180129 1
1.1%
20171228 1
1.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
1
73 
3
17 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 73
79.3%
3 17
 
18.5%
4 2
 
2.2%

Length

2023-12-11T05:19:50.209628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:50.359332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 73
79.3%
3 17
 
18.5%
4 2
 
2.2%

영업상태명
Categorical

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
영업/정상
73 
폐업
17 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.6413043
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 73
79.3%
폐업 17
 
18.5%
취소/말소/만료/정지/중지 2
 
2.2%

Length

2023-12-11T05:19:50.521277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:50.657086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 73
79.3%
폐업 17
 
18.5%
취소/말소/만료/정지/중지 2
 
2.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
13
73 
3
16 
35
 
2
34
 
1

Length

Max length2
Median length2
Mean length1.826087
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 73
79.3%
3 16
 
17.4%
35 2
 
2.2%
34 1
 
1.1%

Length

2023-12-11T05:19:50.807759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:50.960220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 73
79.3%
3 16
 
17.4%
35 2
 
2.2%
34 1
 
1.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
영업중
73 
폐업
16 
직권말소
 
2
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.8695652
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 73
79.3%
폐업 16
 
17.4%
직권말소 2
 
2.2%
영업장폐쇄 1
 
1.1%

Length

2023-12-11T05:19:51.107049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:51.245895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 73
79.3%
폐업 16
 
17.4%
직권말소 2
 
2.2%
영업장폐쇄 1
 
1.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing75
Missing (%)81.5%
Infinite0
Infinite (%)0.0%
Mean20138391
Minimum20040813
Maximum20190926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-11T05:19:51.393012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040813
5-th percentile20048987
Q120120619
median20151224
Q320170109
95-th percentile20190684
Maximum20190926
Range150113
Interquartile range (IQR)49490

Descriptive statistics

Standard deviation47421.645
Coefficient of variation (CV)0.0023547882
Kurtosis-0.16294323
Mean20138391
Median Absolute Deviation (MAD)29082
Skewness-0.98003658
Sum3.4235264 × 108
Variance2.2488124 × 109
MonotonicityNot monotonic
2023-12-11T05:19:51.570835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20190926 1
 
1.1%
20140320 1
 
1.1%
20080630 1
 
1.1%
20161124 1
 
1.1%
20040813 1
 
1.1%
20051031 1
 
1.1%
20081106 1
 
1.1%
20120619 1
 
1.1%
20150630 1
 
1.1%
20180306 1
 
1.1%
Other values (7) 7
 
7.6%
(Missing) 75
81.5%
ValueCountFrequency (%)
20040813 1
1.1%
20051031 1
1.1%
20080630 1
1.1%
20081106 1
1.1%
20120619 1
1.1%
20140320 1
1.1%
20140416 1
1.1%
20150630 1
1.1%
20151224 1
1.1%
20161124 1
1.1%
ValueCountFrequency (%)
20190926 1
1.1%
20190624 1
1.1%
20180405 1
1.1%
20180306 1
1.1%
20170109 1
1.1%
20161230 1
1.1%
20161129 1
1.1%
20161124 1
1.1%
20151224 1
1.1%
20150630 1
1.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

소재지전화
Text

MISSING 

Distinct71
Distinct (%)95.9%
Missing18
Missing (%)19.6%
Memory size868.0 B
2023-12-11T05:19:51.916290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.648649
Min length8

Characters and Unicode

Total characters788
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)91.9%

Sample

1st row053-744-5235
2nd row664-7000
3rd row053-422-7679
4th row290-9507
5th row426-4903
ValueCountFrequency (%)
053-584-8719 2
 
2.7%
053-422-7679 2
 
2.7%
053-606-6235 2
 
2.7%
053-632-5578 1
 
1.4%
053-744-5235 1
 
1.4%
653-2086 1
 
1.4%
070-8114-5735 1
 
1.4%
1600-8325 1
 
1.4%
424-9426 1
 
1.4%
424-8340 1
 
1.4%
Other values (61) 61
82.4%
2023-12-11T05:19:52.408335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 118
15.0%
- 117
14.8%
5 99
12.6%
3 91
11.5%
6 83
10.5%
2 72
9.1%
1 54
6.9%
4 47
 
6.0%
7 40
 
5.1%
8 36
 
4.6%
Other values (3) 31
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 663
84.1%
Dash Punctuation 117
 
14.8%
Open Punctuation 4
 
0.5%
Close Punctuation 4
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 118
17.8%
5 99
14.9%
3 91
13.7%
6 83
12.5%
2 72
10.9%
1 54
8.1%
4 47
 
7.1%
7 40
 
6.0%
8 36
 
5.4%
9 23
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 788
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 118
15.0%
- 117
14.8%
5 99
12.6%
3 91
11.5%
6 83
10.5%
2 72
9.1%
1 54
6.9%
4 47
 
6.0%
7 40
 
5.1%
8 36
 
4.6%
Other values (3) 31
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 788
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 118
15.0%
- 117
14.8%
5 99
12.6%
3 91
11.5%
6 83
10.5%
2 72
9.1%
1 54
6.9%
4 47
 
6.0%
7 40
 
5.1%
8 36
 
4.6%
Other values (3) 31
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)77.8%
Missing29
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean703585.59
Minimum700060
Maximum711873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-11T05:19:52.626085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700060
5-th percentile700093.7
Q1700817
median704063
Q3705816
95-th percentile706843
Maximum711873
Range11813
Interquartile range (IQR)4999

Descriptive statistics

Standard deviation2906.8896
Coefficient of variation (CV)0.0041315366
Kurtosis0.049278684
Mean703585.59
Median Absolute Deviation (MAD)2242
Skewness0.51757454
Sum44325892
Variance8450007
MonotonicityNot monotonic
2023-12-11T05:19:52.840998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
702851 3
 
3.3%
704915 3
 
3.3%
706843 3
 
3.3%
705033 3
 
3.3%
700100 3
 
3.3%
700093 2
 
2.2%
705816 2
 
2.2%
706813 2
 
2.2%
700150 2
 
2.2%
706200 1
 
1.1%
Other values (39) 39
42.4%
(Missing) 29
31.5%
ValueCountFrequency (%)
700060 1
 
1.1%
700070 1
 
1.1%
700093 2
2.2%
700100 3
3.3%
700112 1
 
1.1%
700150 2
2.2%
700160 1
 
1.1%
700192 1
 
1.1%
700251 1
 
1.1%
700440 1
 
1.1%
ValueCountFrequency (%)
711873 1
 
1.1%
711812 1
 
1.1%
706852 1
 
1.1%
706843 3
3.3%
706836 1
 
1.1%
706813 2
2.2%
706200 1
 
1.1%
706130 1
 
1.1%
705832 1
 
1.1%
705823 1
 
1.1%

소재지전체주소
Text

Distinct85
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-12-11T05:19:53.312880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30.5
Mean length23.326087
Min length19

Characters and Unicode

Total characters2146
Distinct characters112
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)85.9%

Sample

1st row대구광역시 중구 대봉동 20-35번지 지하1층
2nd row대구광역시 중구 문화동 11-1번지 대구시티센터
3rd row대구광역시 중구 공평동 16-11번지 지하 1층
4th row대구광역시 중구 남산동 942-1번지 정안빌딩 502호
5th row대구광역시 중구 화전동 11-1번지 지하1층
ValueCountFrequency (%)
대구광역시 92
22.7%
중구 29
 
7.2%
남구 21
 
5.2%
대명동 20
 
4.9%
지하1층 13
 
3.2%
달서구 12
 
3.0%
수성구 11
 
2.7%
북구 9
 
2.2%
동구 6
 
1.5%
남산동 6
 
1.5%
Other values (148) 186
45.9%
2023-12-11T05:19:54.012757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
404
18.8%
구 186
 
8.7%
대 120
 
5.6%
1 118
 
5.5%
지 111
 
5.2%
동 94
 
4.4%
광 93
 
4.3%
역 93
 
4.3%
시 93
 
4.3%
번 92
 
4.3%
Other values (102) 742
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1250
58.2%
Decimal Number 417
 
19.4%
Space Separator 404
 
18.8%
Dash Punctuation 67
 
3.1%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 186
14.9%
대 120
 
9.6%
지 111
 
8.9%
동 94
 
7.5%
광 93
 
7.4%
역 93
 
7.4%
시 93
 
7.4%
번 92
 
7.4%
중 29
 
2.3%
남 28
 
2.2%
Other values (88) 311
24.9%
Decimal Number
ValueCountFrequency (%)
1 118
28.3%
2 76
18.2%
3 45
 
10.8%
6 35
 
8.4%
0 32
 
7.7%
5 31
 
7.4%
4 28
 
6.7%
8 22
 
5.3%
7 19
 
4.6%
9 11
 
2.6%
Space Separator
ValueCountFrequency (%)
404
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1250
58.2%
Common 896
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 186
14.9%
대 120
 
9.6%
지 111
 
8.9%
동 94
 
7.5%
광 93
 
7.4%
역 93
 
7.4%
시 93
 
7.4%
번 92
 
7.4%
중 29
 
2.3%
남 28
 
2.2%
Other values (88) 311
24.9%
Common
ValueCountFrequency (%)
404
45.1%
1 118
 
13.2%
2 76
 
8.5%
- 67
 
7.5%
3 45
 
5.0%
6 35
 
3.9%
0 32
 
3.6%
5 31
 
3.5%
4 28
 
3.1%
8 22
 
2.5%
Other values (4) 38
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1250
58.2%
ASCII 896
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
404
45.1%
1 118
 
13.2%
2 76
 
8.5%
- 67
 
7.5%
3 45
 
5.0%
6 35
 
3.9%
0 32
 
3.6%
5 31
 
3.5%
4 28
 
3.1%
8 22
 
2.5%
Other values (4) 38
 
4.2%
Hangul
ValueCountFrequency (%)
구 186
14.9%
대 120
 
9.6%
지 111
 
8.9%
동 94
 
7.5%
광 93
 
7.4%
역 93
 
7.4%
시 93
 
7.4%
번 92
 
7.4%
중 29
 
2.3%
남 28
 
2.2%
Other values (88) 311
24.9%

도로명전체주소
Text

MISSING 

Distinct86
Distinct (%)96.6%
Missing3
Missing (%)3.3%
Memory size868.0 B
2023-12-11T05:19:54.798202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length26.449438
Min length20

Characters and Unicode

Total characters2354
Distinct characters159
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)93.3%

Sample

1st row대구광역시 중구 달구벌대로 2204 (대봉동)
2nd row대구광역시 중구 국채보상로 611 (문화동, 대구시티센터)
3rd row대구광역시 중구 동성로3길 83 (공평동)
4th row대구광역시 중구 관덕정길 10 (남산동)
5th row대구광역시 중구 교동길 15, 지하1층 (화전동)
ValueCountFrequency (%)
대구광역시 90
 
18.6%
중구 27
 
5.6%
남구 21
 
4.3%
대명동 20
 
4.1%
달서구 12
 
2.5%
수성구 10
 
2.1%
북구 9
 
1.9%
지하1층 8
 
1.7%
남산동 6
 
1.2%
달구벌대로 6
 
1.2%
Other values (195) 275
56.8%
2023-12-11T05:19:55.455557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
399
16.9%
구 194
 
8.2%
대 133
 
5.6%
동 110
 
4.7%
역 92
 
3.9%
시 92
 
3.9%
광 90
 
3.8%
( 87
 
3.7%
) 87
 
3.7%
1 84
 
3.6%
Other values (149) 986
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1429
60.7%
Space Separator 399
 
16.9%
Decimal Number 309
 
13.1%
Open Punctuation 87
 
3.7%
Close Punctuation 87
 
3.7%
Other Punctuation 33
 
1.4%
Dash Punctuation 10
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 194
 
13.6%
대 133
 
9.3%
동 110
 
7.7%
역 92
 
6.4%
시 92
 
6.4%
광 90
 
6.3%
로 79
 
5.5%
중 34
 
2.4%
명 33
 
2.3%
길 33
 
2.3%
Other values (134) 539
37.7%
Decimal Number
ValueCountFrequency (%)
1 84
27.2%
2 51
16.5%
4 33
 
10.7%
3 29
 
9.4%
0 25
 
8.1%
9 19
 
6.1%
6 19
 
6.1%
7 17
 
5.5%
5 17
 
5.5%
8 15
 
4.9%
Space Separator
ValueCountFrequency (%)
399
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1429
60.7%
Common 925
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 194
 
13.6%
대 133
 
9.3%
동 110
 
7.7%
역 92
 
6.4%
시 92
 
6.4%
광 90
 
6.3%
로 79
 
5.5%
중 34
 
2.4%
명 33
 
2.3%
길 33
 
2.3%
Other values (134) 539
37.7%
Common
ValueCountFrequency (%)
399
43.1%
( 87
 
9.4%
) 87
 
9.4%
1 84
 
9.1%
2 51
 
5.5%
4 33
 
3.6%
, 33
 
3.6%
3 29
 
3.1%
0 25
 
2.7%
9 19
 
2.1%
Other values (5) 78
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1429
60.7%
ASCII 925
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
399
43.1%
( 87
 
9.4%
) 87
 
9.4%
1 84
 
9.1%
2 51
 
5.5%
4 33
 
3.6%
, 33
 
3.6%
3 29
 
3.1%
0 25
 
2.7%
9 19
 
2.1%
Other values (5) 78
 
8.4%
Hangul
ValueCountFrequency (%)
구 194
 
13.6%
대 133
 
9.3%
동 110
 
7.7%
역 92
 
6.4%
시 92
 
6.4%
광 90
 
6.3%
로 79
 
5.5%
중 34
 
2.4%
명 33
 
2.3%
길 33
 
2.3%
Other values (134) 539
37.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)81.9%
Missing9
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean488085.31
Minimum41089
Maximum711812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-11T05:19:55.651021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41089
5-th percentile41520.9
Q142409.5
median700811
Q3704912.5
95-th percentile706099.3
Maximum711812
Range670723
Interquartile range (IQR)662503

Descriptive statistics

Standard deviation311603.23
Coefficient of variation (CV)0.6384196
Kurtosis-1.4587655
Mean488085.31
Median Absolute Deviation (MAD)4222
Skewness-0.75944255
Sum40511081
Variance9.7096572 × 1010
MonotonicityNot monotonic
2023-12-11T05:19:55.843994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42402 4
 
4.3%
700100 3
 
3.3%
702851 3
 
3.3%
705033 3
 
3.3%
700832 2
 
2.2%
700093 2
 
2.2%
41966 2
 
2.2%
705816 2
 
2.2%
700150 2
 
2.2%
704915 2
 
2.2%
Other values (58) 58
63.0%
(Missing) 9
 
9.8%
ValueCountFrequency (%)
41089 1
1.1%
41229 1
1.1%
41246 1
1.1%
41438 1
1.1%
41516 1
1.1%
41565 1
1.1%
41585 1
1.1%
41857 1
1.1%
41942 1
1.1%
41952 1
1.1%
ValueCountFrequency (%)
711812 1
1.1%
706852 1
1.1%
706843 1
1.1%
706813 1
1.1%
706130 1
1.1%
705823 1
1.1%
705822 1
1.1%
705819 1
1.1%
705816 2
2.2%
705802 1
1.1%

사업장명
Text

Distinct89
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-12-11T05:19:56.150502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length14
Mean length8.5652174
Min length2

Characters and Unicode

Total characters788
Distinct characters204
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

Unique87 ?
Unique (%)94.6%

Sample

1st row아트팩토리 청춘
2nd row오월의정원 아트홀
3rd row아트플러스씨어터1관
4th row뉴컴퍼니소극장
5th row스페이스콩코드
ValueCountFrequency (%)
아트홀 8
 
5.2%
소극장 5
 
3.3%
대구문화예술회관 3
 
2.0%
더제이댄스센터 3
 
2.0%
재)대구광역시 2
 
1.3%
봉산문화회관 2
 
1.3%
극장 2
 
1.3%
예술극장 2
 
1.3%
대구오페라하우스 2
 
1.3%
대공연장 2
 
1.3%
Other values (115) 122
79.7%
2023-12-11T05:19:56.670037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
64
 
8.1%
아 42
 
5.3%
트 34
 
4.3%
홀 32
 
4.1%
장 26
 
3.3%
대 23
 
2.9%
구 20
 
2.5%
극 19
 
2.4%
터 18
 
2.3%
문 18
 
2.3%
Other values (194) 492
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 685
86.9%
Space Separator 64
 
8.1%
Uppercase Letter 12
 
1.5%
Lowercase Letter 11
 
1.4%
Decimal Number 5
 
0.6%
Close Punctuation 4
 
0.5%
Open Punctuation 4
 
0.5%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 42
 
6.1%
트 34
 
5.0%
홀 32
 
4.7%
장 26
 
3.8%
대 23
 
3.4%
구 20
 
2.9%
극 19
 
2.8%
터 18
 
2.6%
문 18
 
2.6%
화 18
 
2.6%
Other values (169) 435
63.5%
Uppercase Letter
ValueCountFrequency (%)
S 3
25.0%
T 2
16.7%
G 1
 
8.3%
Y 1
 
8.3%
I 1
 
8.3%
C 1
 
8.3%
E 1
 
8.3%
H 1
 
8.3%
R 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
18.2%
t 2
18.2%
a 1
9.1%
p 1
9.1%
c 1
9.1%
i 1
9.1%
u 1
9.1%
d 1
9.1%
o 1
9.1%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
2 2
40.0%
5 1
20.0%
Space Separator
ValueCountFrequency (%)
64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 685
86.9%
Common 80
 
10.2%
Latin 23
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 42
 
6.1%
트 34
 
5.0%
홀 32
 
4.7%
장 26
 
3.8%
대 23
 
3.4%
구 20
 
2.9%
극 19
 
2.8%
터 18
 
2.6%
문 18
 
2.6%
화 18
 
2.6%
Other values (169) 435
63.5%
Latin
ValueCountFrequency (%)
S 3
 
13.0%
e 2
 
8.7%
t 2
 
8.7%
T 2
 
8.7%
G 1
 
4.3%
a 1
 
4.3%
p 1
 
4.3%
c 1
 
4.3%
i 1
 
4.3%
Y 1
 
4.3%
Other values (8) 8
34.8%
Common
ValueCountFrequency (%)
64
80.0%
) 4
 
5.0%
( 4
 
5.0%
. 3
 
3.8%
1 2
 
2.5%
2 2
 
2.5%
5 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 685
86.9%
ASCII 103
 
13.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
64
62.1%
) 4
 
3.9%
( 4
 
3.9%
S 3
 
2.9%
. 3
 
2.9%
e 2
 
1.9%
t 2
 
1.9%
1 2
 
1.9%
T 2
 
1.9%
2 2
 
1.9%
Other values (15) 15
 
14.6%
Hangul
ValueCountFrequency (%)
아 42
 
6.1%
트 34
 
5.0%
홀 32
 
4.7%
장 26
 
3.8%
대 23
 
3.4%
구 20
 
2.9%
극 19
 
2.8%
터 18
 
2.6%
문 18
 
2.6%
화 18
 
2.6%
Other values (169) 435
63.5%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0160886 × 1013
Minimum2.0040813 × 1013
Maximum2.0191017 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-11T05:19:56.853623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040813 × 1013
5-th percentile2.0106481 × 1013
Q12.0147992 × 1013
median2.0170605 × 1013
Q32.0181146 × 1013
95-th percentile2.0190814 × 1013
Maximum2.0191017 × 1013
Range1.5020404 × 1011
Interquartile range (IQR)3.3154305 × 1010

Descriptive statistics

Standard deviation3.2831913 × 1010
Coefficient of variation (CV)0.0016284955
Kurtosis3.6164911
Mean2.0160886 × 1013
Median Absolute Deviation (MAD)1.9749497 × 1010
Skewness-1.774559
Sum1.8548015 × 1015
Variance1.0779345 × 1021
MonotonicityNot monotonic
2023-12-11T05:19:57.077404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20171025141341 1
 
1.1%
20160104201704 1
 
1.1%
20190826085545 1
 
1.1%
20141015114418 1
 
1.1%
20190111141041 1
 
1.1%
20180219140838 1
 
1.1%
20141017090831 1
 
1.1%
20170713170606 1
 
1.1%
20180525082214 1
 
1.1%
20111030130016 1
 
1.1%
Other values (82) 82
89.1%
ValueCountFrequency (%)
20040813130315 1
1.1%
20040910101841 1
1.1%
20051129103957 1
1.1%
20080728111837 1
1.1%
20100920092904 1
1.1%
20111030130016 1
1.1%
20111230125024 1
1.1%
20120103140839 1
1.1%
20120103142353 1
1.1%
20120103143740 1
1.1%
ValueCountFrequency (%)
20191017171332 1
1.1%
20190926180636 1
1.1%
20190826085545 1
1.1%
20190822172758 1
1.1%
20190814155706 1
1.1%
20190814155413 1
1.1%
20190814141018 1
1.1%
20190730170255 1
1.1%
20190725164021 1
1.1%
20190708141056 1
1.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
I
70 
U
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 70
76.1%
U 22
 
23.9%

Length

2023-12-11T05:19:57.286685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:57.417642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 70
76.1%
u 22
 
23.9%

데이터갱신일자
Categorical

IMBALANCE 

Distinct22
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Memory size868.0 B
2018-08-31 23:59:59.0
66 
2019-08-16 02:40:00.0
 
3
2019-07-10 02:40:00.0
 
2
2019-07-03 02:40:00.0
 
2
2019-07-06 02:40:00.0
 
2
Other values (17)
17 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique17 ?
Unique (%)18.5%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2019-09-28 02:40:00.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 66
71.7%
2019-08-16 02:40:00.0 3
 
3.3%
2019-07-10 02:40:00.0 2
 
2.2%
2019-07-03 02:40:00.0 2
 
2.2%
2019-07-06 02:40:00.0 2
 
2.2%
2019-09-28 02:40:00.0 1
 
1.1%
2018-10-31 02:36:12.0 1
 
1.1%
2019-04-12 02:40:00.0 1
 
1.1%
2019-07-27 02:40:00.0 1
 
1.1%
2019-06-26 02:40:00.0 1
 
1.1%
Other values (12) 12
 
13.0%

Length

2023-12-11T05:19:57.546779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 66
35.9%
23:59:59.0 66
35.9%
02:40:00.0 21
 
11.4%
2019-08-16 3
 
1.6%
2019-07-10 2
 
1.1%
2019-07-03 2
 
1.1%
2019-07-06 2
 
1.1%
2019-04-17 1
 
0.5%
2019-10-19 1
 
0.5%
2019-01-13 1
 
0.5%
Other values (19) 19
 
10.3%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)89.0%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean343582.49
Minimum331181.37
Maximum356310.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-11T05:19:57.723074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331181.37
5-th percentile338088.34
Q1342657.09
median343510.57
Q3344514.45
95-th percentile348865.02
Maximum356310.92
Range25129.546
Interquartile range (IQR)1857.3628

Descriptive statistics

Standard deviation3733.2365
Coefficient of variation (CV)0.010865619
Kurtosis3.655168
Mean343582.49
Median Absolute Deviation (MAD)865.38935
Skewness0.25238848
Sum31266006
Variance13937055
MonotonicityNot monotonic
2023-12-11T05:19:57.923877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340795.977161 3
 
3.3%
343490.54587 2
 
2.2%
344090.309398 2
 
2.2%
337497.848974 2
 
2.2%
343510.573192 2
 
2.2%
344137.093577 2
 
2.2%
343977.875349 2
 
2.2%
338088.341393 2
 
2.2%
347062.290556 2
 
2.2%
342896.426806 1
 
1.1%
Other values (71) 71
77.2%
ValueCountFrequency (%)
331181.37163 1
1.1%
331919.96911 1
1.1%
337497.848974 2
2.2%
338088.341393 2
2.2%
339268.571432 1
1.1%
339459.676122 1
1.1%
339517.647299 1
1.1%
339717.871628 1
1.1%
340039.824132 1
1.1%
340099.157369 1
1.1%
ValueCountFrequency (%)
356310.917659 1
1.1%
354384.426573 1
1.1%
354236.490129 1
1.1%
352335.045028 1
1.1%
349094.598043 1
1.1%
348635.435811 1
1.1%
348194.499421 1
1.1%
347521.699763 1
1.1%
347202.24792 1
1.1%
347062.290556 2
2.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)89.0%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean263312.9
Minimum245293.1
Maximum271756.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-11T05:19:58.114982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum245293.1
5-th percentile259479.43
Q1262476.8
median263063.49
Q3264494.67
95-th percentile266753.98
Maximum271756.5
Range26463.394
Interquartile range (IQR)2017.8728

Descriptive statistics

Standard deviation3068.4549
Coefficient of variation (CV)0.011653265
Kurtosis13.518831
Mean263312.9
Median Absolute Deviation (MAD)1244.9921
Skewness-1.7476981
Sum23961474
Variance9415415.2
MonotonicityNot monotonic
2023-12-11T05:19:58.340473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261627.701492 3
 
3.3%
264007.292153 2
 
2.2%
265177.636851 2
 
2.2%
261409.692978 2
 
2.2%
266134.259921 2
 
2.2%
263748.241448 2
 
2.2%
264225.65908 2
 
2.2%
262510.618835 2
 
2.2%
260067.030472 2
 
2.2%
262903.784366 1
 
1.1%
Other values (71) 71
77.2%
ValueCountFrequency (%)
245293.104748 1
1.1%
257299.539852 1
1.1%
258773.367638 1
1.1%
259144.519321 1
1.1%
259292.93211 1
1.1%
259665.923686 1
1.1%
260067.030472 2
2.2%
260158.750204 1
1.1%
260179.135548 1
1.1%
260803.00461 1
1.1%
ValueCountFrequency (%)
271756.498796 1
1.1%
271655.049732 1
1.1%
271412.222623 1
1.1%
268478.202709 1
1.1%
266767.746662 1
1.1%
266740.20396 1
1.1%
266285.353794 1
1.1%
266134.259921 2
2.2%
266015.581633 1
1.1%
265637.282898 1
1.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
공연장
92 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 92
100.0%

Length

2023-12-11T05:19:58.520370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:58.650902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 92
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
공연장
92 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 92
100.0%

Length

2023-12-11T05:19:58.777982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:58.899514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 92
100.0%

지역구분명
Categorical

Distinct8
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
66 
자연녹지지역
8 
일반주거지역
7 
중심상업지역
 
5
근린상업지역
 
2
Other values (3)
 
4

Length

Max length6
Median length4
Mean length4.5217391
Min length4

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 66
71.7%
자연녹지지역 8
 
8.7%
일반주거지역 7
 
7.6%
중심상업지역 5
 
5.4%
근린상업지역 2
 
2.2%
일반상업지역 2
 
2.2%
녹지지역 1
 
1.1%
주거지역 1
 
1.1%

Length

2023-12-11T05:19:59.097533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:19:59.397424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 66
71.7%
자연녹지지역 8
 
8.7%
일반주거지역 7
 
7.6%
중심상업지역 5
 
5.4%
근린상업지역 2
 
2.2%
일반상업지역 2
 
2.2%
녹지지역 1
 
1.1%
주거지역 1
 
1.1%

총층수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)33.3%
Missing68
Missing (%)73.9%
Infinite0
Infinite (%)0.0%
Mean5.0416667
Minimum2
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-11T05:19:59.608174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median5
Q35
95-th percentile10.7
Maximum13
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.5956346
Coefficient of variation (CV)0.51483661
Kurtosis3.6722489
Mean5.0416667
Median Absolute Deviation (MAD)1
Skewness1.8867199
Sum121
Variance6.7373188
MonotonicityNot monotonic
2023-12-11T05:19:59.771492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 8
 
8.7%
3 6
 
6.5%
4 4
 
4.3%
6 2
 
2.2%
9 1
 
1.1%
2 1
 
1.1%
13 1
 
1.1%
11 1
 
1.1%
(Missing) 68
73.9%
ValueCountFrequency (%)
2 1
 
1.1%
3 6
6.5%
4 4
4.3%
5 8
8.7%
6 2
 
2.2%
9 1
 
1.1%
11 1
 
1.1%
13 1
 
1.1%
ValueCountFrequency (%)
13 1
 
1.1%
11 1
 
1.1%
9 1
 
1.1%
6 2
 
2.2%
5 8
8.7%
4 4
4.3%
3 6
6.5%
2 1
 
1.1%

주변환경명
Categorical

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
72 
기타
14 
아파트지역
 
4
주택가주변
 
2

Length

Max length5
Median length4
Mean length3.7608696
Min length2

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> 72
78.3%
기타 14
 
15.2%
아파트지역 4
 
4.3%
주택가주변 2
 
2.2%

Length

2023-12-11T05:20:00.000185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:00.178286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
78.3%
기타 14
 
15.2%
아파트지역 4
 
4.3%
주택가주변 2
 
2.2%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

건물용도명
Categorical

Distinct5
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
58 
문화시설
18 
근린생활시설
14 
단독주택
 
1
교육연구시설
 
1

Length

Max length6
Median length4
Mean length4.326087
Min length4

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 58
63.0%
문화시설 18
 
19.6%
근린생활시설 14
 
15.2%
단독주택 1
 
1.1%
교육연구시설 1
 
1.1%

Length

2023-12-11T05:20:00.377129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:00.594866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
63.0%
문화시설 18
 
19.6%
근린생활시설 14
 
15.2%
단독주택 1
 
1.1%
교육연구시설 1
 
1.1%

지상층수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)29.6%
Missing65
Missing (%)70.7%
Infinite0
Infinite (%)0.0%
Mean4.2592593
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-11T05:20:00.735668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12.5
median3
Q35
95-th percentile10.1
Maximum12
Range11
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.8364739
Coefficient of variation (CV)0.66595474
Kurtosis1.5255426
Mean4.2592593
Median Absolute Deviation (MAD)1
Skewness1.4849563
Sum115
Variance8.045584
MonotonicityNot monotonic
2023-12-11T05:20:00.895176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 9
 
9.8%
2 6
 
6.5%
4 4
 
4.3%
8 3
 
3.3%
6 2
 
2.2%
11 1
 
1.1%
12 1
 
1.1%
1 1
 
1.1%
(Missing) 65
70.7%
ValueCountFrequency (%)
1 1
 
1.1%
2 6
6.5%
3 9
9.8%
4 4
4.3%
6 2
 
2.2%
8 3
 
3.3%
11 1
 
1.1%
12 1
 
1.1%
ValueCountFrequency (%)
12 1
 
1.1%
11 1
 
1.1%
8 3
 
3.3%
6 2
 
2.2%
4 4
4.3%
3 9
9.8%
2 6
6.5%
1 1
 
1.1%

지하층수
Categorical

Distinct6
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
56 
1
24 
2
8 
5
 
2
4
 
1

Length

Max length4
Median length4
Mean length2.826087
Min length1

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
60.9%
1 24
26.1%
2 8
 
8.7%
5 2
 
2.2%
4 1
 
1.1%
3 1
 
1.1%

Length

2023-12-11T05:20:01.120712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:01.297504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
60.9%
1 24
26.1%
2 8
 
8.7%
5 2
 
2.2%
4 1
 
1.1%
3 1
 
1.1%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

시설면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

시설규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01공연장03_06_01_P3410000CDFE123000201200000120120719<NA>1영업/정상13영업중<NA><NA><NA><NA>053-744-5235<NA>700809대구광역시 중구 대봉동 20-35번지 지하1층대구광역시 중구 달구벌대로 2204 (대봉동)700809아트팩토리 청춘20171025141341I2018-08-31 23:59:59.0<NA>344834.917521263682.783428공연장공연장<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><NA><NA><NA><NA><NA>
12공연장03_06_01_P3410000CDFE123000201000000120100406<NA>3폐업3폐업20150630<NA><NA><NA>664-7000<NA>700160대구광역시 중구 문화동 11-1번지 대구시티센터대구광역시 중구 국채보상로 611 (문화동, 대구시티센터)700733오월의정원 아트홀20161208164026I2018-08-31 23:59:59.0<NA>344223.636477264597.611089공연장공연장<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><NA><NA><NA><NA><NA>
23공연장03_06_01_P3410000CDFE123000201100000120111207<NA>3폐업3폐업20190926<NA><NA><NA>053-422-7679<NA>700150대구광역시 중구 공평동 16-11번지 지하 1층대구광역시 중구 동성로3길 83 (공평동)700150아트플러스씨어터1관20190926180636U2019-09-28 02:40:00.0<NA>344253.070839264389.450842공연장공연장<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><NA><NA><NA><NA><NA>
34공연장03_06_01_P3410000CDFE123000201200000220120816<NA>3폐업3폐업20161129<NA><NA><NA>290-9507<NA>700832대구광역시 중구 남산동 942-1번지 정안빌딩 502호대구광역시 중구 관덕정길 10 (남산동)700832뉴컴퍼니소극장20161130175211I2018-08-31 23:59:59.0<NA>343608.127531263961.949303공연장공연장<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><NA><NA><NA><NA><NA>
45공연장03_06_01_P3410000CDFE123000200400000120040720<NA>3폐업3폐업20140416<NA><NA><NA>426-4903<NA>700100대구광역시 중구 화전동 11-1번지 지하1층대구광역시 중구 교동길 15, 지하1층 (화전동)700100스페이스콩코드20140416112442I2018-08-31 23:59:59.0<NA>344090.309398265177.636851공연장공연장<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><NA><NA><NA><NA><NA>
56공연장03_06_01_P3410000CDFE123000201500000320150721<NA>3폐업3폐업20161230<NA><NA><NA><NA><NA>700835대구광역시 중구 남산동 582-7번지대구광역시 중구 명륜로12길 21 (남산동)700835대안문화공간아트센터 고리20161230173217I2018-08-31 23:59:59.0<NA>343463.57706263629.400975공연장공연장<NA><NA><NA><NA><NA><NA><NA>1<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>
67공연장03_06_01_P3410000CDFE123000200200000220021231<NA>4취소/말소/만료/정지/중지35직권말소20170109<NA><NA><NA>424-7055<NA>700100대구광역시 중구 화전동 23-15번지대구광역시 중구 교동길 6 (화전동)700100엔.에스.엘.문화예술원20170124110813I2018-08-31 23:59:59.0<NA>343954.047468264824.100818공연장공연장<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><NA><NA><NA><NA><NA>
78공연장03_06_01_P3410000CDFE123000199300000119930910<NA>1영업/정상13영업중<NA><NA><NA><NA>420-8089<NA>700811대구광역시 중구 대봉동 214번지대구광역시 중구 명덕로 333 (대봉동)700811프라임홀20161123092143I2018-08-31 23:59:59.0<NA>345032.238221262949.871621공연장공연장<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><NA><NA><NA><NA><NA>
89공연장03_06_01_P3410000CDFE123000200500000120050506<NA>1영업/정상13영업중<NA><NA><NA><NA>053-422-6465<NA>700440대구광역시 중구 남산동 940-4번지대구광역시 중구 문우관길 47 (남산동)700832아회아트홀20140318091810I2018-08-31 23:59:59.0<NA>343679.753462263869.461776공연장공연장<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><NA><NA><NA><NA><NA>
910공연장03_06_01_P3410000CDFE123000200400000220040930<NA>1영업/정상13영업중<NA><NA><NA><NA>661-3092<NA>700823대구광역시 중구 봉산동 125번지대구광역시 중구 봉산문화길 77 (봉산동)700823봉산문화회관 가온홀20190708140828U2019-07-10 02:40:00.0<NA>344137.093577263748.241448공연장공연장<NA>5<NA><NA><NA><NA>41<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>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
8283공연장03_06_01_P3470000CDFE123000200300000120030106<NA>1영업/정상13영업중<NA><NA><NA><NA>053-551-2012<NA>704953대구광역시 달서구 감삼동 68-4번지대구광역시 달서구 달구벌대로 1611 (감삼동, 푸른방송)704953푸른방송 아트홀20130603152119I2018-08-31 23:59:59.0<NA>339268.571432262491.614242공연장공연장<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><NA><NA><NA><NA><NA>
8384공연장03_06_01_P3470000CDFE123000200200000420021122<NA>1영업/정상13영업중<NA><NA><NA><NA>053-606-6450<NA>704910대구광역시 달서구 두류동 588번지대구광역시 달서구 공원순환로 46 (두류동, 코오롱야외음악당)704910코오롱 야외음악당20160805172744I2018-08-31 23:59:59.0<NA>340608.886881262318.248215공연장공연장<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><NA><NA><NA><NA><NA>
8485공연장03_06_01_P3470000CDFE123000201300000120130927<NA>1영업/정상13영업중<NA><NA><NA><NA>053-584-8719<NA>704945대구광역시 달서구 장기동 722-1번지대구광역시 달서구 문화회관길 160 (장기동)704945웃는얼굴아트센터 와룡홀20190814155706U2019-08-16 02:40:00.0<NA>337497.848974261409.692978공연장공연장<NA>3<NA><NA><NA>문화시설21<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>
8586공연장03_06_01_P3470000CDFE123000200200000120021122<NA>1영업/정상13영업중<NA><NA><NA><NA>053-606-6235<NA>704915대구광역시 달서구 성당동 187번지대구광역시 달서구 공원순환로 201 (성당동)704915대구문화예술회관 팔공홀20190814141018U2019-08-16 02:40:00.0<NA>340795.977161261627.701492공연장공연장<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><NA><NA><NA><NA><NA>
8687공연장03_06_01_P3470000CDFE123000201800000120181207<NA>1영업/정상13영업중<NA><NA><NA><NA>053-231-1300<NA><NA>대구광역시 달서구 용산동 230-6번지 대구학생문화센터대구광역시 달서구 용산로 181, 대구학생문화센터 (용산동)42635대구학생문화센터 소극장20181207163715I2018-12-09 02:20:10.0<NA>338088.341393262510.618835공연장공연장<NA><NA><NA><NA><NA><NA><NA>1<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>
8788공연장03_06_01_P3470000CDFE123000200400000120041221<NA>1영업/정상13영업중<NA><NA><NA><NA>053-584-8719<NA><NA>대구광역시 달서구 장기동 722-1번지대구광역시 달서구 문화회관길 160 (장기동, 웃는얼굴아트센터)42699웃는얼굴아트센터 청룡홀20190730170255U2019-08-01 02:40:00.0<NA>337497.848974261409.692978공연장공연장<NA>3<NA><NA><NA>문화시설<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>
8889공연장03_06_01_P3470000CDFE123000200200000320021122<NA>3폐업3폐업20080630<NA><NA><NA>053-606-6121<NA>704915대구광역시 달서구 성당동 187번지대구광역시 달서구 공원순환로 201 (성당동)<NA>대구문화예술회관 야외공연장20080728111837I2018-08-31 23:59:59.0<NA>340795.977161261627.701492공연장공연장<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><NA><NA><NA><NA><NA>
8990공연장03_06_01_P3470000CDFE123000201200000120120605<NA>3폐업3폐업20140320<NA><NA><NA>053-632-5578<NA>704802대구광역시 달서구 도원동 692-1번지대구광역시 달서구 월곡로 92, 가동 (도원동)704802베네20140320131735I2018-08-31 23:59:59.0<NA>340099.157369257299.539852공연장공연장<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><NA><NA><NA><NA><NA>
9091공연장03_06_01_P3480000CDFE123000200400000120040910<NA>1영업/정상13영업중<NA><NA><NA><NA>611-0010<NA>711873대구광역시 달성군 현풍면 상리 627번지대구광역시 달성군 현풍면 현풍동로 92<NA>달성문화원공연장20040910101841I2018-08-31 23:59:59.0<NA>331181.37163245293.104748공연장공연장자연녹지지역3기타<NA><NA>문화시설21<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>
9192공연장03_06_01_P3480000CDFE123000201200000120120120<NA>1영업/정상13영업중<NA><NA><NA><NA>053-715-1202<NA>711812대구광역시 달성군 다사읍 매곡리 1515-3번지대구광역시 달성군 다사읍 대실역북로2길 188711812백년홀(달성문화센터)20120120093311I2018-08-31 23:59:59.0<NA>331919.96911263810.755354공연장공연장자연녹지지역6기타<NA><NA>문화시설33<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>