Overview

Dataset statistics

Number of variables63
Number of observations97
Missing cells3478
Missing cells (%)56.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory52.3 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_0000086622&dataSetDetailId=DDI_0000086635&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 (50.6%)Imbalance
상세영업상태명 is highly imbalanced (50.6%)Imbalance
주변환경명 is highly imbalanced (50.1%)Imbalance
인허가취소일자 has 97 (100.0%) missing valuesMissing
폐업일자 has 74 (76.3%) missing valuesMissing
휴업시작일자 has 97 (100.0%) missing valuesMissing
휴업종료일자 has 97 (100.0%) missing valuesMissing
재개업일자 has 97 (100.0%) missing valuesMissing
소재지전화 has 18 (18.6%) missing valuesMissing
소재지면적 has 97 (100.0%) missing valuesMissing
소재지우편번호 has 36 (37.1%) missing valuesMissing
도로명전체주소 has 3 (3.1%) missing valuesMissing
도로명우편번호 has 9 (9.3%) missing valuesMissing
업태구분명 has 97 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.0%) missing valuesMissing
좌표정보(Y) has 1 (1.0%) missing valuesMissing
총층수 has 69 (71.1%) missing valuesMissing
제작취급품목내용 has 97 (100.0%) missing valuesMissing
보험기관명 has 97 (100.0%) missing valuesMissing
지상층수 has 66 (68.0%) missing valuesMissing
객실수 has 97 (100.0%) missing valuesMissing
건축연면적 has 97 (100.0%) missing valuesMissing
영문상호명 has 97 (100.0%) missing valuesMissing
영문상호주소 has 97 (100.0%) missing valuesMissing
선박총톤수 has 97 (100.0%) missing valuesMissing
선박척수 has 97 (100.0%) missing valuesMissing
선박제원 has 97 (100.0%) missing valuesMissing
무대면적 has 97 (100.0%) missing valuesMissing
좌석수 has 97 (100.0%) missing valuesMissing
기념품종류 has 97 (100.0%) missing valuesMissing
회의실별동시수용인원 has 97 (100.0%) missing valuesMissing
시설면적 has 97 (100.0%) missing valuesMissing
놀이기구수내역 has 97 (100.0%) missing valuesMissing
놀이시설수 has 97 (100.0%) missing valuesMissing
방송시설유무 has 97 (100.0%) missing valuesMissing
발전시설유무 has 97 (100.0%) missing valuesMissing
의무실유무 has 97 (100.0%) missing valuesMissing
안내소유무 has 97 (100.0%) missing valuesMissing
기획여행보험시작일자 has 97 (100.0%) missing valuesMissing
기획여행보험종료일자 has 97 (100.0%) missing valuesMissing
자본금 has 97 (100.0%) missing valuesMissing
보험시작일자 has 97 (100.0%) missing valuesMissing
보험종료일자 has 97 (100.0%) missing valuesMissing
부대시설내역 has 97 (100.0%) missing valuesMissing
시설규모 has 97 (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 20:20:36.433296
Analysis finished2023-12-10 20:20:37.248990
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49
Minimum1
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-11T05:20:37.354900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.8
Q125
median49
Q373
95-th percentile92.2
Maximum97
Range96
Interquartile range (IQR)48

Descriptive statistics

Standard deviation28.145456
Coefficient of variation (CV)0.57439705
Kurtosis-1.2
Mean49
Median Absolute Deviation (MAD)24
Skewness0
Sum4753
Variance792.16667
MonotonicityStrictly increasing
2023-12-11T05:20:37.533334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
74 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
66 1
 
1.0%
65 1
 
1.0%
Other values (87) 87
89.7%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%
89 1
1.0%
88 1
1.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
공연장
97 

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 97
100.0%

Length

2023-12-11T05:20:37.740921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:37.868187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 97
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
03_06_01_P
97 

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 97
100.0%

Length

2023-12-11T05:20:38.026169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:38.213533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_06_01_p 97
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3437732
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-11T05:20:38.387987image/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 deviation23026.486
Coefficient of variation (CV)0.0066981622
Kurtosis-1.347438
Mean3437732
Median Absolute Deviation (MAD)20000
Skewness0.10059068
Sum3.3346 × 108
Variance5.3021907 × 108
MonotonicityIncreasing
2023-12-11T05:20:38.554263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 30
30.9%
3440000 21
21.6%
3460000 13
13.4%
3470000 12
 
12.4%
3450000 9
 
9.3%
3420000 6
 
6.2%
3430000 3
 
3.1%
3480000 3
 
3.1%
ValueCountFrequency (%)
3410000 30
30.9%
3420000 6
 
6.2%
3430000 3
 
3.1%
3440000 21
21.6%
3450000 9
 
9.3%
3460000 13
13.4%
3470000 12
 
12.4%
3480000 3
 
3.1%
ValueCountFrequency (%)
3480000 3
 
3.1%
3470000 12
 
12.4%
3460000 13
13.4%
3450000 9
 
9.3%
3440000 21
21.6%
3430000 3
 
3.1%
3420000 6
 
6.2%
3410000 30
30.9%

관리번호
Text

Distinct50
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-11T05:20:38.925836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1940
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

Unique24 ?
Unique (%)24.7%

Sample

1st rowCDFE1230002012000003
2nd rowCDFE1230002014000002
3rd rowCDFE1230002020000001
4th rowCDFE1230002005000001
5th rowCDFE1230002004000002
ValueCountFrequency (%)
cdfe1230002004000001 6
 
6.2%
cdfe1230002018000001 5
 
5.2%
cdfe1230002020000001 4
 
4.1%
cdfe1230002012000001 4
 
4.1%
cdfe1230002016000001 4
 
4.1%
cdfe1230002017000001 4
 
4.1%
cdfe1230002002000001 4
 
4.1%
cdfe1230002003000001 3
 
3.1%
cdfe1230002009000001 3
 
3.1%
cdfe1230002013000001 3
 
3.1%
Other values (40) 57
58.8%
2023-12-11T05:20:39.540981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 913
47.1%
2 231
 
11.9%
1 216
 
11.1%
3 124
 
6.4%
C 97
 
5.0%
D 97
 
5.0%
F 97
 
5.0%
E 97
 
5.0%
4 17
 
0.9%
7 14
 
0.7%
Other values (4) 37
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1552
80.0%
Uppercase Letter 388
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 913
58.8%
2 231
 
14.9%
1 216
 
13.9%
3 124
 
8.0%
4 17
 
1.1%
7 14
 
0.9%
9 11
 
0.7%
8 10
 
0.6%
5 10
 
0.6%
6 6
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 97
25.0%
D 97
25.0%
F 97
25.0%
E 97
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1552
80.0%
Latin 388
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 913
58.8%
2 231
 
14.9%
1 216
 
13.9%
3 124
 
8.0%
4 17
 
1.1%
7 14
 
0.9%
9 11
 
0.7%
8 10
 
0.6%
5 10
 
0.6%
6 6
 
0.4%
Latin
ValueCountFrequency (%)
C 97
25.0%
D 97
25.0%
F 97
25.0%
E 97
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 913
47.1%
2 231
 
11.9%
1 216
 
11.1%
3 124
 
6.4%
C 97
 
5.0%
D 97
 
5.0%
F 97
 
5.0%
E 97
 
5.0%
4 17
 
0.9%
7 14
 
0.7%
Other values (4) 37
 
1.9%

인허가일자
Real number (ℝ)

Distinct84
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20106167
Minimum19930910
Maximum20200909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-11T05:20:39.803489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930910
5-th percentile20021122
Q120040811
median20120503
Q320161212
95-th percentile20192610
Maximum20200909
Range269999
Interquartile range (IQR)120401

Descriptive statistics

Standard deviation64738.574
Coefficient of variation (CV)0.0032198367
Kurtosis-1.0191372
Mean20106167
Median Absolute Deviation (MAD)50401
Skewness-0.33894892
Sum1.9502982 × 109
Variance4.191083 × 109
MonotonicityNot monotonic
2023-12-11T05:20:40.049498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021122 4
 
4.1%
20111230 3
 
3.1%
20021231 3
 
3.1%
20070425 2
 
2.1%
20200604 2
 
2.1%
20030305 2
 
2.1%
20161104 2
 
2.1%
20021226 2
 
2.1%
20180521 2
 
2.1%
20121023 1
 
1.0%
Other values (74) 74
76.3%
ValueCountFrequency (%)
19930910 1
 
1.0%
19980918 1
 
1.0%
19990421 1
 
1.0%
20021122 4
4.1%
20021226 2
2.1%
20021231 3
3.1%
20030106 1
 
1.0%
20030107 1
 
1.0%
20030121 1
 
1.0%
20030123 1
 
1.0%
ValueCountFrequency (%)
20200909 1
1.0%
20200608 1
1.0%
20200605 1
1.0%
20200604 2
2.1%
20190612 1
1.0%
20181211 1
1.0%
20181207 1
1.0%
20181122 1
1.0%
20180615 1
1.0%
20180521 2
2.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
1
72 
3
23 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 72
74.2%
3 23
 
23.7%
4 2
 
2.1%

Length

2023-12-11T05:20:40.260068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:40.405485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 72
74.2%
3 23
 
23.7%
4 2
 
2.1%

영업상태명
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
영업/정상
72 
폐업
23 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.4742268
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 72
74.2%
폐업 23
 
23.7%
취소/말소/만료/정지/중지 2
 
2.1%

Length

2023-12-11T05:20:40.582078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:40.741166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 72
74.2%
폐업 23
 
23.7%
취소/말소/만료/정지/중지 2
 
2.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
13
72 
3
22 
35
 
2
34
 
1

Length

Max length2
Median length2
Mean length1.7731959
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 72
74.2%
3 22
 
22.7%
35 2
 
2.1%
34 1
 
1.0%

Length

2023-12-11T05:20:40.899811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:41.068331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 72
74.2%
3 22
 
22.7%
35 2
 
2.1%
34 1
 
1.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
영업중
72 
폐업
22 
직권말소
 
2
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.814433
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 72
74.2%
폐업 22
 
22.7%
직권말소 2
 
2.1%
영업장폐쇄 1
 
1.0%

Length

2023-12-11T05:20:41.215301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:41.348857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 72
74.2%
폐업 22
 
22.7%
직권말소 2
 
2.1%
영업장폐쇄 1
 
1.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)95.7%
Missing74
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean20154632
Minimum20040813
Maximum20200907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-11T05:20:41.496896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040813
5-th percentile20053991
Q120140368
median20161230
Q320195576
95-th percentile20200713
Maximum20200907
Range160094
Interquartile range (IQR)55208.5

Descriptive statistics

Standard deviation49161.601
Coefficient of variation (CV)0.002439221
Kurtosis0.37733771
Mean20154632
Median Absolute Deviation (MAD)29696
Skewness-1.1383017
Sum4.6355654 × 108
Variance2.416863 × 109
MonotonicityNot monotonic
2023-12-11T05:20:41.689092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20200709 2
 
2.1%
20180306 1
 
1.0%
20140320 1
 
1.0%
20080630 1
 
1.0%
20051031 1
 
1.0%
20040813 1
 
1.0%
20200630 1
 
1.0%
20161124 1
 
1.0%
20120619 1
 
1.0%
20081106 1
 
1.0%
Other values (12) 12
 
12.4%
(Missing) 74
76.3%
ValueCountFrequency (%)
20040813 1
1.0%
20051031 1
1.0%
20080630 1
1.0%
20081106 1
1.0%
20120619 1
1.0%
20140320 1
1.0%
20140416 1
1.0%
20150630 1
1.0%
20151224 1
1.0%
20161124 1
1.0%
ValueCountFrequency (%)
20200907 1
1.0%
20200713 1
1.0%
20200709 2
2.1%
20200630 1
1.0%
20200227 1
1.0%
20190926 1
1.0%
20190624 1
1.0%
20180405 1
1.0%
20180306 1
1.0%
20170109 1
1.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

소재지전화
Text

MISSING 

Distinct74
Distinct (%)93.7%
Missing18
Missing (%)18.6%
Memory size908.0 B
2023-12-11T05:20:42.019840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.835443
Min length8

Characters and Unicode

Total characters856
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

Unique69 ?
Unique (%)87.3%

Sample

1st row070-8289-5629
2nd row053-421-7880
3rd row053-420-8088
4th row053-422-6465
5th row661-3092
ValueCountFrequency (%)
053-606-6235 2
 
2.5%
053-422-7679 2
 
2.5%
053-231-1300 2
 
2.5%
053-765-5632 2
 
2.5%
053-584-8719 2
 
2.5%
053-664-3130 1
 
1.3%
053-655-7139 1
 
1.3%
053-286-7879 1
 
1.3%
053)320-3502 1
 
1.3%
053-781-1804 1
 
1.3%
Other values (64) 64
81.0%
2023-12-11T05:20:42.522588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 131
15.3%
- 129
15.1%
5 111
13.0%
3 101
11.8%
6 89
10.4%
2 77
9.0%
1 56
6.5%
4 48
 
5.6%
7 42
 
4.9%
8 40
 
4.7%
Other values (3) 32
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 719
84.0%
Dash Punctuation 129
 
15.1%
Open Punctuation 4
 
0.5%
Close Punctuation 4
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 131
18.2%
5 111
15.4%
3 101
14.0%
6 89
12.4%
2 77
10.7%
1 56
7.8%
4 48
 
6.7%
7 42
 
5.8%
8 40
 
5.6%
9 24
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 856
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 131
15.3%
- 129
15.1%
5 111
13.0%
3 101
11.8%
6 89
10.4%
2 77
9.0%
1 56
6.5%
4 48
 
5.6%
7 42
 
4.9%
8 40
 
4.7%
Other values (3) 32
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 856
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 131
15.3%
- 129
15.1%
5 111
13.0%
3 101
11.8%
6 89
10.4%
2 77
9.0%
1 56
6.5%
4 48
 
5.6%
7 42
 
4.9%
8 40
 
4.7%
Other values (3) 32
 
3.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)78.7%
Missing36
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean703619.66
Minimum700070
Maximum711873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-11T05:20:42.715315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700070
5-th percentile700100
Q1700823
median704063
Q3705816
95-th percentile706843
Maximum711873
Range11803
Interquartile range (IQR)4993

Descriptive statistics

Standard deviation2913.4884
Coefficient of variation (CV)0.0041407148
Kurtosis0.063737671
Mean703619.66
Median Absolute Deviation (MAD)2242
Skewness0.52392301
Sum42920799
Variance8488414.4
MonotonicityNot monotonic
2023-12-11T05:20:42.926944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
704915 3
 
3.1%
706843 3
 
3.1%
700100 3
 
3.1%
702851 3
 
3.1%
705033 2
 
2.1%
706813 2
 
2.1%
705816 2
 
2.1%
700093 2
 
2.1%
700150 2
 
2.1%
700832 1
 
1.0%
Other values (38) 38
39.2%
(Missing) 36
37.1%
ValueCountFrequency (%)
700070 1
 
1.0%
700093 2
2.1%
700100 3
3.1%
700112 1
 
1.0%
700150 2
2.1%
700160 1
 
1.0%
700192 1
 
1.0%
700251 1
 
1.0%
700440 1
 
1.0%
700809 1
 
1.0%
ValueCountFrequency (%)
711873 1
 
1.0%
711812 1
 
1.0%
706852 1
 
1.0%
706843 3
3.1%
706836 1
 
1.0%
706813 2
2.1%
706200 1
 
1.0%
706130 1
 
1.0%
705832 1
 
1.0%
705823 1
 
1.0%

소재지전체주소
Text

Distinct89
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-11T05:20:43.447563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length22.886598
Min length17

Characters and Unicode

Total characters2220
Distinct characters117
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

Unique82 ?
Unique (%)84.5%

Sample

1st row대구광역시 중구 종로2가 52번지 지하1층
2nd row대구광역시 중구 서문로1가 71-1번지
3rd row대구광역시 중구 대봉동 214번지 대백프라자
4th row대구광역시 중구 남산동 940-4
5th row대구광역시 중구 봉산동 125
ValueCountFrequency (%)
대구광역시 97
22.8%
중구 30
 
7.0%
남구 21
 
4.9%
대명동 20
 
4.7%
수성구 13
 
3.1%
달서구 12
 
2.8%
지하1층 12
 
2.8%
북구 9
 
2.1%
동구 6
 
1.4%
남산동 6
 
1.4%
Other values (157) 200
46.9%
2023-12-11T05:20:44.273779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
425
19.1%
구 195
 
8.8%
대 127
 
5.7%
1 119
 
5.4%
지 99
 
4.5%
역 98
 
4.4%
시 98
 
4.4%
광 98
 
4.4%
동 98
 
4.4%
번 81
 
3.6%
Other values (107) 782
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1286
57.9%
Decimal Number 432
 
19.5%
Space Separator 425
 
19.1%
Dash Punctuation 69
 
3.1%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 195
15.2%
대 127
 
9.9%
지 99
 
7.7%
역 98
 
7.6%
시 98
 
7.6%
광 98
 
7.6%
동 98
 
7.6%
번 81
 
6.3%
중 30
 
2.3%
남 28
 
2.2%
Other values (93) 334
26.0%
Decimal Number
ValueCountFrequency (%)
1 119
27.5%
2 80
18.5%
3 46
 
10.6%
6 36
 
8.3%
5 35
 
8.1%
0 33
 
7.6%
4 30
 
6.9%
8 23
 
5.3%
7 19
 
4.4%
9 11
 
2.5%
Space Separator
ValueCountFrequency (%)
425
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1286
57.9%
Common 934
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 195
15.2%
대 127
 
9.9%
지 99
 
7.7%
역 98
 
7.6%
시 98
 
7.6%
광 98
 
7.6%
동 98
 
7.6%
번 81
 
6.3%
중 30
 
2.3%
남 28
 
2.2%
Other values (93) 334
26.0%
Common
ValueCountFrequency (%)
425
45.5%
1 119
 
12.7%
2 80
 
8.6%
- 69
 
7.4%
3 46
 
4.9%
6 36
 
3.9%
5 35
 
3.7%
0 33
 
3.5%
4 30
 
3.2%
8 23
 
2.5%
Other values (4) 38
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1286
57.9%
ASCII 934
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
425
45.5%
1 119
 
12.7%
2 80
 
8.6%
- 69
 
7.4%
3 46
 
4.9%
6 36
 
3.9%
5 35
 
3.7%
0 33
 
3.5%
4 30
 
3.2%
8 23
 
2.5%
Other values (4) 38
 
4.1%
Hangul
ValueCountFrequency (%)
구 195
15.2%
대 127
 
9.9%
지 99
 
7.7%
역 98
 
7.6%
시 98
 
7.6%
광 98
 
7.6%
동 98
 
7.6%
번 81
 
6.3%
중 30
 
2.3%
남 28
 
2.2%
Other values (93) 334
26.0%

도로명전체주소
Text

MISSING 

Distinct90
Distinct (%)95.7%
Missing3
Missing (%)3.1%
Memory size908.0 B
2023-12-11T05:20:44.868483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length26.574468
Min length20

Characters and Unicode

Total characters2498
Distinct characters167
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

Unique86 ?
Unique (%)91.5%

Sample

1st row대구광역시 중구 종로 30 (종로2가)
2nd row대구광역시 중구 경상감영길 32 (서문로1가)
3rd row대구광역시 중구 명덕로 333, 대백프라자 5층 (대봉동)
4th row대구광역시 중구 문우관길 47 (남산동)
5th row대구광역시 중구 봉산문화길 77 (봉산동)
ValueCountFrequency (%)
대구광역시 95
 
18.5%
중구 28
 
5.5%
남구 21
 
4.1%
대명동 20
 
3.9%
수성구 12
 
2.3%
달서구 12
 
2.3%
북구 9
 
1.8%
지하1층 8
 
1.6%
남산동 6
 
1.2%
달구벌대로 6
 
1.2%
Other values (206) 296
57.7%
2023-12-11T05:20:45.761527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
423
 
16.9%
구 203
 
8.1%
대 140
 
5.6%
동 114
 
4.6%
역 97
 
3.9%
시 97
 
3.9%
광 95
 
3.8%
( 91
 
3.6%
) 91
 
3.6%
1 88
 
3.5%
Other values (157) 1059
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1511
60.5%
Space Separator 423
 
16.9%
Decimal Number 332
 
13.3%
Open Punctuation 91
 
3.6%
Close Punctuation 91
 
3.6%
Other Punctuation 36
 
1.4%
Dash Punctuation 13
 
0.5%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 203
 
13.4%
대 140
 
9.3%
동 114
 
7.5%
역 97
 
6.4%
시 97
 
6.4%
광 95
 
6.3%
로 84
 
5.6%
길 36
 
2.4%
중 35
 
2.3%
명 34
 
2.3%
Other values (141) 576
38.1%
Decimal Number
ValueCountFrequency (%)
1 88
26.5%
2 52
15.7%
4 35
 
10.5%
3 33
 
9.9%
0 26
 
7.8%
6 22
 
6.6%
9 21
 
6.3%
5 19
 
5.7%
8 18
 
5.4%
7 18
 
5.4%
Space Separator
ValueCountFrequency (%)
423
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1511
60.5%
Common 986
39.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 203
 
13.4%
대 140
 
9.3%
동 114
 
7.5%
역 97
 
6.4%
시 97
 
6.4%
광 95
 
6.3%
로 84
 
5.6%
길 36
 
2.4%
중 35
 
2.3%
명 34
 
2.3%
Other values (141) 576
38.1%
Common
ValueCountFrequency (%)
423
42.9%
( 91
 
9.2%
) 91
 
9.2%
1 88
 
8.9%
2 52
 
5.3%
, 36
 
3.7%
4 35
 
3.5%
3 33
 
3.3%
0 26
 
2.6%
6 22
 
2.2%
Other values (5) 89
 
9.0%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1511
60.5%
ASCII 987
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
423
42.9%
( 91
 
9.2%
) 91
 
9.2%
1 88
 
8.9%
2 52
 
5.3%
, 36
 
3.6%
4 35
 
3.5%
3 33
 
3.3%
0 26
 
2.6%
6 22
 
2.2%
Other values (6) 90
 
9.1%
Hangul
ValueCountFrequency (%)
구 203
 
13.4%
대 140
 
9.3%
동 114
 
7.5%
역 97
 
6.4%
시 97
 
6.4%
광 95
 
6.3%
로 84
 
5.6%
길 36
 
2.4%
중 35
 
2.3%
명 34
 
2.3%
Other values (141) 576
38.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)81.8%
Missing9
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean447744.74
Minimum41089
Maximum711812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-11T05:20:46.050100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41089
5-th percentile41533.15
Q142402
median700484
Q3704808.25
95-th percentile706022.55
Maximum711812
Range670723
Interquartile range (IQR)662406.25

Descriptive statistics

Standard deviation323740.27
Coefficient of variation (CV)0.72304652
Kurtosis-1.8162253
Mean447744.74
Median Absolute Deviation (MAD)5325
Skewness-0.47476896
Sum39401537
Variance1.0480776 × 1011
MonotonicityNot monotonic
2023-12-11T05:20:46.332333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42402 5
 
5.2%
702851 3
 
3.1%
700100 3
 
3.1%
705816 2
 
2.1%
704915 2
 
2.1%
705033 2
 
2.1%
700150 2
 
2.1%
41966 2
 
2.1%
700093 2
 
2.1%
700832 2
 
2.1%
Other values (62) 63
64.9%
(Missing) 9
 
9.3%
ValueCountFrequency (%)
41089 1
1.0%
41229 1
1.0%
41246 1
1.0%
41438 1
1.0%
41516 1
1.0%
41565 1
1.0%
41585 1
1.0%
41795 1
1.0%
41857 1
1.0%
41937 1
1.0%
ValueCountFrequency (%)
711812 1
1.0%
706852 1
1.0%
706843 1
1.0%
706813 1
1.0%
706130 1
1.0%
705823 1
1.0%
705822 1
1.0%
705819 1
1.0%
705816 2
2.1%
705802 1
1.0%

사업장명
Text

Distinct94
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-11T05:20:46.820930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length13
Mean length8.4226804
Min length2

Characters and Unicode

Total characters817
Distinct characters205
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

Unique92 ?
Unique (%)94.8%

Sample

1st row떼아뜨로 중구
2nd row근대로아리소극장
3rd row레오문화홀
4th row아회아트홀
5th row봉산문화회관 가온홀
ValueCountFrequency (%)
아트홀 8
 
5.1%
소극장 5
 
3.2%
더제이댄스센터 3
 
1.9%
야외공연장 3
 
1.9%
대구문화예술회관 3
 
1.9%
대구광역시 2
 
1.3%
극장 2
 
1.3%
재)대구광역시 2
 
1.3%
대구오페라하우스 2
 
1.3%
수성아트피아 2
 
1.3%
Other values (118) 126
79.7%
2023-12-11T05:20:47.537129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
64
 
7.8%
아 42
 
5.1%
트 34
 
4.2%
홀 34
 
4.2%
장 29
 
3.5%
대 23
 
2.8%
극 21
 
2.6%
구 20
 
2.4%
화 19
 
2.3%
문 19
 
2.3%
Other values (195) 512
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 719
88.0%
Space Separator 64
 
7.8%
Lowercase Letter 11
 
1.3%
Uppercase Letter 7
 
0.9%
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
 
5.8%
트 34
 
4.7%
홀 34
 
4.7%
장 29
 
4.0%
대 23
 
3.2%
극 21
 
2.9%
구 20
 
2.8%
화 19
 
2.6%
문 19
 
2.6%
터 18
 
2.5%
Other values (174) 460
64.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
18.2%
t 2
18.2%
o 1
9.1%
d 1
9.1%
i 1
9.1%
u 1
9.1%
p 1
9.1%
a 1
9.1%
c 1
9.1%
Uppercase Letter
ValueCountFrequency (%)
S 3
42.9%
R 1
 
14.3%
G 1
 
14.3%
C 1
 
14.3%
T 1
 
14.3%
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 719
88.0%
Common 80
 
9.8%
Latin 18
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 42
 
5.8%
트 34
 
4.7%
홀 34
 
4.7%
장 29
 
4.0%
대 23
 
3.2%
극 21
 
2.9%
구 20
 
2.8%
화 19
 
2.6%
문 19
 
2.6%
터 18
 
2.5%
Other values (174) 460
64.0%
Latin
ValueCountFrequency (%)
S 3
16.7%
e 2
11.1%
t 2
11.1%
R 1
 
5.6%
o 1
 
5.6%
d 1
 
5.6%
i 1
 
5.6%
u 1
 
5.6%
G 1
 
5.6%
p 1
 
5.6%
Other values (4) 4
22.2%
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 719
88.0%
ASCII 98
 
12.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
64
65.3%
) 4
 
4.1%
( 4
 
4.1%
. 3
 
3.1%
S 3
 
3.1%
1 2
 
2.0%
2 2
 
2.0%
e 2
 
2.0%
t 2
 
2.0%
R 1
 
1.0%
Other values (11) 11
 
11.2%
Hangul
ValueCountFrequency (%)
아 42
 
5.8%
트 34
 
4.7%
홀 34
 
4.7%
장 29
 
4.0%
대 23
 
3.2%
극 21
 
2.9%
구 20
 
2.8%
화 19
 
2.6%
문 19
 
2.6%
터 18
 
2.5%
Other values (174) 460
64.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0172741 × 1013
Minimum2.0040813 × 1013
Maximum2.0201023 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-11T05:20:48.181934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040813 × 1013
5-th percentile2.0109008 × 1013
Q12.0161123 × 1013
median2.0181226 × 1013
Q32.0200604 × 1013
95-th percentile2.0200908 × 1013
Maximum2.0201023 × 1013
Range1.6020997 × 1011
Interquartile range (IQR)3.9481114 × 1010

Descriptive statistics

Standard deviation3.5887518 × 1010
Coefficient of variation (CV)0.0017790105
Kurtosis3.675926
Mean2.0172741 × 1013
Median Absolute Deviation (MAD)1.9381998 × 1010
Skewness-1.8531246
Sum1.9567559 × 1015
Variance1.2879139 × 1021
MonotonicityNot monotonic
2023-12-11T05:20:48.444053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190624160011 1
 
1.0%
20040813130315 1
 
1.0%
20141015114418 1
 
1.0%
20200712191100 1
 
1.0%
20161124171113 1
 
1.0%
20120621095720 1
 
1.0%
20111030130016 1
 
1.0%
20190111141041 1
 
1.0%
20170713170606 1
 
1.0%
20201023085157 1
 
1.0%
Other values (87) 87
89.7%
ValueCountFrequency (%)
20040813130315 1
1.0%
20040910101841 1
1.0%
20051129103957 1
1.0%
20080728111837 1
1.0%
20100920092904 1
1.0%
20111030130016 1
1.0%
20111230125024 1
1.0%
20120103142353 1
1.0%
20120103143740 1
1.0%
20120120093311 1
1.0%
ValueCountFrequency (%)
20201023104315 1
1.0%
20201023085157 1
1.0%
20201022172018 1
1.0%
20201007084420 1
1.0%
20200909131306 1
1.0%
20200907175401 1
1.0%
20200901100519 1
1.0%
20200901091023 1
1.0%
20200722104935 1
1.0%
20200716114201 1
1.0%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
I
53 
U
44 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 53
54.6%
U 44
45.4%

Length

2023-12-11T05:20:48.646916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:48.802052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 53
54.6%
u 44
45.4%

데이터갱신일자
Categorical

Distinct42
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Memory size908.0 B
2018-08-31 23:59:59.0
46 
2020-07-11 02:40:00.0
 
3
2020-06-12 02:40:00.0
 
2
2020-06-10 02:40:00.0
 
2
2020-10-25 02:40:00.0
 
2
Other values (37)
42 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique32 ?
Unique (%)33.0%

Sample

1st row2019-06-26 02:40:00.0
2nd row2020-03-08 02:40:00.0
3rd row2020-06-07 00:23:18.0
4th row2020-10-09 02:40:00.0
5th row2020-07-11 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 46
47.4%
2020-07-11 02:40:00.0 3
 
3.1%
2020-06-12 02:40:00.0 2
 
2.1%
2020-06-10 02:40:00.0 2
 
2.1%
2020-10-25 02:40:00.0 2
 
2.1%
2019-07-03 02:40:00.0 2
 
2.1%
2020-07-05 02:40:00.0 2
 
2.1%
2019-07-06 02:40:00.0 2
 
2.1%
2020-09-03 02:40:00.0 2
 
2.1%
2020-06-06 00:23:18.0 2
 
2.1%
Other values (32) 32
33.0%

Length

2023-12-11T05:20:48.989291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 46
23.7%
23:59:59.0 46
23.7%
02:40:00.0 44
22.7%
00:23:18.0 4
 
2.1%
2020-07-11 3
 
1.5%
2020-06-10 3
 
1.5%
2020-06-06 3
 
1.5%
2019-07-06 2
 
1.0%
2020-06-07 2
 
1.0%
2020-09-03 2
 
1.0%
Other values (35) 39
20.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)87.5%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean343647.63
Minimum331181.37
Maximum356310.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-11T05:20:49.170378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331181.37
5-th percentile337940.72
Q1342641.95
median343537.68
Q3344868.23
95-th percentile350740.9
Maximum356310.92
Range25129.546
Interquartile range (IQR)2226.2782

Descriptive statistics

Standard deviation3873.5502
Coefficient of variation (CV)0.011271866
Kurtosis2.8621222
Mean343647.63
Median Absolute Deviation (MAD)1052.3922
Skewness0.20157445
Sum32990172
Variance15004391
MonotonicityNot monotonic
2023-12-11T05:20:49.429769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340795.977161 3
 
3.1%
337497.848974 2
 
2.1%
343490.54587 2
 
2.1%
345032.238221 2
 
2.1%
338088.341393 2
 
2.1%
344137.093577 2
 
2.1%
344090.309398 2
 
2.1%
343977.875349 2
 
2.1%
343510.573192 2
 
2.1%
347062.290556 2
 
2.1%
Other values (74) 75
77.3%
ValueCountFrequency (%)
331181.37163 1
1.0%
331919.96911 1
1.0%
335535.627309 1
1.0%
337497.848974 2
2.1%
338088.341393 2
2.1%
339268.571432 1
1.0%
339459.676122 1
1.0%
339517.647299 1
1.0%
339717.871628 1
1.0%
340039.824132 1
1.0%
ValueCountFrequency (%)
356310.917659 1
1.0%
354384.426573 1
1.0%
354236.490129 1
1.0%
352335.045028 1
1.0%
350740.903555 2
2.1%
349094.598043 1
1.0%
348635.435811 1
1.0%
348194.499421 1
1.0%
347521.699763 1
1.0%
347202.24792 1
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)87.5%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean263195.77
Minimum245293.1
Maximum271756.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-11T05:20:49.663188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum245293.1
5-th percentile259255.83
Q1262387.93
median263011.72
Q3264456.77
95-th percentile266747.09
Maximum271756.5
Range26463.394
Interquartile range (IQR)2068.8445

Descriptive statistics

Standard deviation3100.2425
Coefficient of variation (CV)0.011779226
Kurtosis11.927114
Mean263195.77
Median Absolute Deviation (MAD)1295.8729
Skewness-1.6027356
Sum25266793
Variance9611503.5
MonotonicityNot monotonic
2023-12-11T05:20:49.881633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261627.701492 3
 
3.1%
261409.692978 2
 
2.1%
264007.292153 2
 
2.1%
262949.871621 2
 
2.1%
262510.618835 2
 
2.1%
263748.241448 2
 
2.1%
265177.636851 2
 
2.1%
264225.65908 2
 
2.1%
266134.259921 2
 
2.1%
260067.030472 2
 
2.1%
Other values (74) 75
77.3%
ValueCountFrequency (%)
245293.104748 1
1.0%
256975.477781 1
1.0%
257299.539852 1
1.0%
258773.367638 1
1.0%
259144.519321 1
1.0%
259292.93211 1
1.0%
259665.923686 1
1.0%
259979.518261 2
2.1%
260067.030472 2
2.1%
260158.750204 1
1.0%
ValueCountFrequency (%)
271756.498796 1
1.0%
271655.049732 1
1.0%
271412.222623 1
1.0%
268478.202709 1
1.0%
266767.746662 1
1.0%
266740.20396 1
1.0%
266285.353794 1
1.0%
266134.259921 2
2.1%
266015.581633 1
1.0%
265637.282898 1
1.0%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
공연장
97 

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 97
100.0%

Length

2023-12-11T05:20:50.111219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:50.273222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 97
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
공연장
97 

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 97
100.0%

Length

2023-12-11T05:20:50.452378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:50.597931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 97
100.0%

지역구분명
Categorical

Distinct8
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
70 
자연녹지지역
8 
일반주거지역
 
7
중심상업지역
 
5
일반상업지역
 
3
Other values (3)
 
4

Length

Max length6
Median length4
Mean length4.5154639
Min length4

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 70
72.2%
자연녹지지역 8
 
8.2%
일반주거지역 7
 
7.2%
중심상업지역 5
 
5.2%
일반상업지역 3
 
3.1%
근린상업지역 2
 
2.1%
녹지지역 1
 
1.0%
주거지역 1
 
1.0%

Length

2023-12-11T05:20:50.770904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:50.959340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
72.2%
자연녹지지역 8
 
8.2%
일반주거지역 7
 
7.2%
중심상업지역 5
 
5.2%
일반상업지역 3
 
3.1%
근린상업지역 2
 
2.1%
녹지지역 1
 
1.0%
주거지역 1
 
1.0%

총층수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)28.6%
Missing69
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean5
Minimum2
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-11T05:20:51.123405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median5
Q35
95-th percentile10.3
Maximum13
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.4343225
Coefficient of variation (CV)0.4868645
Kurtosis4.3404058
Mean5
Median Absolute Deviation (MAD)1
Skewness1.9575815
Sum140
Variance5.9259259
MonotonicityNot monotonic
2023-12-11T05:20:51.287490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 10
 
10.3%
3 7
 
7.2%
4 4
 
4.1%
6 3
 
3.1%
9 1
 
1.0%
2 1
 
1.0%
13 1
 
1.0%
11 1
 
1.0%
(Missing) 69
71.1%
ValueCountFrequency (%)
2 1
 
1.0%
3 7
7.2%
4 4
 
4.1%
5 10
10.3%
6 3
 
3.1%
9 1
 
1.0%
11 1
 
1.0%
13 1
 
1.0%
ValueCountFrequency (%)
13 1
 
1.0%
11 1
 
1.0%
9 1
 
1.0%
6 3
 
3.1%
5 10
10.3%
4 4
 
4.1%
3 7
7.2%
2 1
 
1.0%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
76 
기타
15 
아파트지역
 
4
주택가주변
 
2

Length

Max length5
Median length4
Mean length3.7525773
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> 76
78.4%
기타 15
 
15.5%
아파트지역 4
 
4.1%
주택가주변 2
 
2.1%

Length

2023-12-11T05:20:51.491822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:51.642180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
78.4%
기타 15
 
15.5%
아파트지역 4
 
4.1%
주택가주변 2
 
2.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

건물용도명
Categorical

Distinct5
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
59 
문화시설
18 
근린생활시설
18 
단독주택
 
1
교육연구시설
 
1

Length

Max length6
Median length4
Mean length4.3917526
Min length4

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
60.8%
문화시설 18
 
18.6%
근린생활시설 18
 
18.6%
단독주택 1
 
1.0%
교육연구시설 1
 
1.0%

Length

2023-12-11T05:20:51.793903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:51.962855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
60.8%
문화시설 18
 
18.6%
근린생활시설 18
 
18.6%
단독주택 1
 
1.0%
교육연구시설 1
 
1.0%

지상층수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)29.0%
Missing66
Missing (%)68.0%
Infinite0
Infinite (%)0.0%
Mean4.1935484
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-11T05:20:52.100411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12.5
median3
Q34.5
95-th percentile9.5
Maximum12
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.6760587
Coefficient of variation (CV)0.63813708
Kurtosis2.0712129
Mean4.1935484
Median Absolute Deviation (MAD)1
Skewness1.5749052
Sum130
Variance7.1612903
MonotonicityNot monotonic
2023-12-11T05:20:52.241990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 9
 
9.3%
2 7
 
7.2%
4 6
 
6.2%
8 3
 
3.1%
6 2
 
2.1%
11 1
 
1.0%
12 1
 
1.0%
5 1
 
1.0%
1 1
 
1.0%
(Missing) 66
68.0%
ValueCountFrequency (%)
1 1
 
1.0%
2 7
7.2%
3 9
9.3%
4 6
6.2%
5 1
 
1.0%
6 2
 
2.1%
8 3
 
3.1%
11 1
 
1.0%
12 1
 
1.0%
ValueCountFrequency (%)
12 1
 
1.0%
11 1
 
1.0%
8 3
 
3.1%
6 2
 
2.1%
5 1
 
1.0%
4 6
6.2%
3 9
9.3%
2 7
7.2%
1 1
 
1.0%

지하층수
Categorical

Distinct6
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size908.0 B
<NA>
57 
1
28 
2
8 
5
 
2
4
 
1

Length

Max length4
Median length4
Mean length2.7628866
Min length1

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
58.8%
1 28
28.9%
2 8
 
8.2%
5 2
 
2.1%
4 1
 
1.0%
3 1
 
1.0%

Length

2023-12-11T05:20:52.423695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:20:52.578271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
58.8%
1 28
28.9%
2 8
 
8.2%
5 2
 
2.1%
4 1
 
1.0%
3 1
 
1.0%

객실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

건축연면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

시설면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

자본금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

시설규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing97
Missing (%)100.0%
Memory size1005.0 B

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01공연장03_06_01_P3410000CDFE123000201200000320121023<NA>3폐업3폐업20190624<NA><NA><NA>070-8289-5629<NA>700192대구광역시 중구 종로2가 52번지 지하1층대구광역시 중구 종로 30 (종로2가)700192떼아뜨로 중구20190624160011U2019-06-26 02:40:00.0<NA>343701.538158264317.697129공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><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_P3410000CDFE123000201400000220140919<NA>3폐업3폐업20200227<NA><NA><NA>053-421-7880<NA>700251대구광역시 중구 서문로1가 71-1번지대구광역시 중구 경상감영길 32 (서문로1가)700251근대로아리소극장20200306184128U2020-03-08 02:40:00.0<NA>343460.620664264600.508685공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><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_P3410000CDFE123000202000000120200605<NA>1영업/정상13영업중<NA><NA><NA><NA>053-420-8088<NA><NA>대구광역시 중구 대봉동 214번지 대백프라자대구광역시 중구 명덕로 333, 대백프라자 5층 (대봉동)41953레오문화홀20200605172910I2020-06-07 00:23:18.0<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>
34공연장03_06_01_P3410000CDFE123000200500000120050506<NA>1영업/정상13영업중<NA><NA><NA><NA>053-422-6465<NA>700440대구광역시 중구 남산동 940-4대구광역시 중구 문우관길 47 (남산동)700832아회아트홀20201007084420U2020-10-09 02:40:00.0<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>
45공연장03_06_01_P3410000CDFE123000200400000220040930<NA>1영업/정상13영업중<NA><NA><NA><NA>661-3092<NA>700823대구광역시 중구 봉산동 125대구광역시 중구 봉산문화길 77 (봉산동)700823봉산문화회관 가온홀20200709092320U2020-07-11 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>
56공연장03_06_01_P3410000CDFE123000200900000120091202<NA>1영업/정상13영업중<NA><NA><NA><NA>252-5733<NA>700100대구광역시 중구 화전동 11-1대구광역시 중구 교동길 15 (화전동)700100송죽씨어터20201023104315U2020-10-25 02:40:00.0<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>
67공연장03_06_01_P3410000CDFE123000200700000220070803<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>700093대구광역시 중구 동성로3가 120-21번지대구광역시 중구 동성로1길 29-29 (동성로3가)700093하모니아아트홀1관20150421195556I2018-08-31 23:59:59.0<NA>343977.875349264225.65908공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><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_P3410000CDFE123000200700000120070109<NA>1영업/정상13영업중<NA><NA><NA><NA>053-256-0369<NA><NA>대구광역시 중구 남일동 109-2번지대구광역시 중구 중앙대로 394, B1층 (남일동)41937문화예술전용극장CT20200604205730U2020-06-06 02:40:00.0<NA>343893.098827264297.483696공연장공연장중심상업지역<NA><NA><NA><NA>문화시설112<NA><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_P3410000CDFE123000201700000120170712<NA>1영업/정상13영업중<NA><NA><NA><NA>661-3512<NA><NA>대구광역시 중구 봉산동 125 봉산문화회관대구광역시 중구 봉산문화길 77 (봉산동, 봉산문화회관)41958봉산문화회관 스페이스라온20200709093936U2020-07-11 02:40:00.0<NA>344137.093577263748.241448공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><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_P3410000CDFE123000201600000320161104<NA>1영업/정상13영업중<NA><NA><NA><NA>053-661-2454<NA><NA>대구광역시 중구 동성로2가 165-1번지<NA><NA>동성로 야외무대20190701153808U2019-07-03 02:40:00.0<NA>344019.277226264397.27036공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><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
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_P3470000CDFE123000200300000420030507<NA>1영업/정상13영업중<NA><NA><NA><NA>053-231-1300<NA>704923대구광역시 달서구 용산동 230-6대구광역시 달서구 용산로 181 (용산동, 대구학생문화센터)704923대구학생문화센터 대공연장20200703112751U2020-07-05 02:40:00.0<NA>338088.341393262510.618835공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><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_P3470000CDFE123000200300000320030225<NA>1영업/정상13영업중<NA><NA><NA><NA>053-656-6655<NA>704827대구광역시 달서구 송현동 702번지대구광역시 달서구 앞산순환로 180 (송현동, 청소년수련원)704827청소년수련원 아트홀20170627135942I2018-08-31 23:59:59.0<NA>340383.716322259292.93211공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><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_P3470000CDFE123000200300000220030107<NA>1영업/정상13영업중<NA><NA><NA><NA>053-620-0001<NA>704063대구광역시 달서구 두류동 산 302-11번지대구광역시 달서구 두류공원로 200 (두류동)704063이월드 대공연장20200611181634U2020-06-13 02:40:00.0<NA>341301.554735262585.135012공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><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_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>
9293공연장03_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 아트홀20191223093853U2019-12-25 02:40:00.0<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>
9394공연장03_06_01_P3470000CDFE123000200200000420021122<NA>1영업/정상13영업중<NA><NA><NA><NA>053-606-6450<NA>704910대구광역시 달서구 두류동 588번지대구광역시 달서구 공원순환로 46 (두류동, 코오롱야외음악당)704910코오롱 야외음악당20200610160943U2020-06-12 02:40:00.0<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>
9495공연장03_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>
9596공연장03_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>
9697공연장03_06_01_P3480000CDFE123000202000000120200909<NA>1영업/정상13영업중<NA><NA><NA><NA>053-261-9808<NA><NA>대구광역시 달성군 화원읍 천내리 430-1대구광역시 달성군 화원읍 비슬로520길 642962블루마술극장20200909131306I2020-09-11 00:23:12.0<NA>335535.627309256975.477781공연장공연장<NA>3기타<NA><NA>근린생활시설21<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>