Overview

Dataset statistics

Number of variables63
Number of observations110
Missing cells2734
Missing cells (%)39.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.8 KiB
Average record size in memory547.2 B

Variable types

Numeric7
Categorical23
Text7
DateTime4
Unsupported22

Dataset

Description23년10월_6270000_대구광역시_03_06_01_P_공연장
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000101121&dataSetDetailId=DDI_0000101133&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
지역구분명 is highly imbalanced (52.4%)Imbalance
주변환경명 is highly imbalanced (50.6%)Imbalance
인허가취소일자 has 110 (100.0%) missing valuesMissing
폐업일자 has 84 (76.4%) missing valuesMissing
휴업시작일자 has 110 (100.0%) missing valuesMissing
휴업종료일자 has 110 (100.0%) missing valuesMissing
재개업일자 has 110 (100.0%) missing valuesMissing
소재지전화 has 24 (21.8%) missing valuesMissing
소재지면적 has 110 (100.0%) missing valuesMissing
소재지우편번호 has 49 (44.5%) missing valuesMissing
도로명전체주소 has 3 (2.7%) missing valuesMissing
도로명우편번호 has 10 (9.1%) missing valuesMissing
업태구분명 has 110 (100.0%) missing valuesMissing
총층수 has 51 (46.4%) missing valuesMissing
제작취급품목내용 has 110 (100.0%) missing valuesMissing
보험기관명 has 110 (100.0%) missing valuesMissing
지상층수 has 50 (45.5%) missing valuesMissing
지하층수 has 41 (37.3%) missing valuesMissing
영문상호명 has 110 (100.0%) missing valuesMissing
영문상호주소 has 110 (100.0%) missing valuesMissing
선박제원 has 110 (100.0%) missing valuesMissing
기념품종류 has 110 (100.0%) missing valuesMissing
놀이기구수내역 has 110 (100.0%) missing valuesMissing
방송시설유무 has 110 (100.0%) missing valuesMissing
발전시설유무 has 110 (100.0%) missing valuesMissing
의무실유무 has 110 (100.0%) missing valuesMissing
안내소유무 has 110 (100.0%) missing valuesMissing
기획여행보험시작일자 has 110 (100.0%) missing valuesMissing
기획여행보험종료일자 has 110 (100.0%) missing valuesMissing
보험시작일자 has 110 (100.0%) missing valuesMissing
보험종료일자 has 110 (100.0%) missing valuesMissing
부대시설내역 has 110 (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
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
선박제원 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
놀이기구수내역 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
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
총층수 has 21 (19.1%) zerosZeros
지상층수 has 19 (17.3%) zerosZeros
지하층수 has 25 (22.7%) zerosZeros

Reproduction

Analysis started2023-11-11 14:11:49.401789
Analysis finished2023-11-11 14:11:50.788490
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.5
Minimum1
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-11-11T23:11:50.899310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.45
Q128.25
median55.5
Q382.75
95-th percentile104.55
Maximum110
Range109
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation31.898276
Coefficient of variation (CV)0.57474371
Kurtosis-1.2
Mean55.5
Median Absolute Deviation (MAD)27.5
Skewness0
Sum6105
Variance1017.5
MonotonicityStrictly increasing
2023-11-11T23:11:51.112906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
71 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
Other values (100) 100
90.9%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
공연장
110 

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 110
100.0%

Length

2023-11-11T23:11:51.300878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:11:51.457951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 110
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
03_06_01_P
110 

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 110
100.0%

Length

2023-11-11T23:11:51.604071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:11:51.733518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_06_01_p 110
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453463.6
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-11-11T23:11:51.832644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3440000
Q33460000
95-th percentile3470000
Maximum5141000
Range1731000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation163860.01
Coefficient of variation (CV)0.047448021
Kurtosis105.9614
Mean3453463.6
Median Absolute Deviation (MAD)20000
Skewness10.200741
Sum3.79881 × 108
Variance2.6850104 × 1010
MonotonicityIncreasing
2023-11-11T23:11:52.169574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3410000 31
28.2%
3440000 29
26.4%
3460000 15
13.6%
3470000 12
 
10.9%
3450000 9
 
8.2%
3420000 6
 
5.5%
3430000 4
 
3.6%
3480000 3
 
2.7%
5141000 1
 
0.9%
ValueCountFrequency (%)
3410000 31
28.2%
3420000 6
 
5.5%
3430000 4
 
3.6%
3440000 29
26.4%
3450000 9
 
8.2%
3460000 15
13.6%
3470000 12
 
10.9%
3480000 3
 
2.7%
5141000 1
 
0.9%
ValueCountFrequency (%)
5141000 1
 
0.9%
3480000 3
 
2.7%
3470000 12
 
10.9%
3460000 15
13.6%
3450000 9
 
8.2%
3440000 29
26.4%
3430000 4
 
3.6%
3420000 6
 
5.5%
3410000 31
28.2%

관리번호
Text

Distinct56
Distinct (%)50.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-11-11T23:11:52.458890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2200
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

Unique27 ?
Unique (%)24.5%

Sample

1st rowCDFE1230002012000003
2nd rowCDFE1230002016000001
3rd rowCDFE1230002010000001
4th rowCDFE1230002011000001
5th rowCDFE1230002012000002
ValueCountFrequency (%)
cdfe1230002004000001 6
 
5.5%
cdfe1230002020000001 5
 
4.5%
cdfe1230002018000001 5
 
4.5%
cdfe1230002002000001 4
 
3.6%
cdfe1230002017000001 4
 
3.6%
cdfe1230002012000001 4
 
3.6%
cdfe1230002016000001 4
 
3.6%
cdfe1230002002000002 3
 
2.7%
cdfe1230002009000001 3
 
2.7%
cdfe1230002013000001 3
 
2.7%
Other values (46) 69
62.7%
2023-11-11T23:11:52.914174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1033
47.0%
2 277
 
12.6%
1 241
 
11.0%
3 140
 
6.4%
C 110
 
5.0%
D 110
 
5.0%
F 110
 
5.0%
E 110
 
5.0%
4 17
 
0.8%
7 15
 
0.7%
Other values (4) 37
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1760
80.0%
Uppercase Letter 440
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1033
58.7%
2 277
 
15.7%
1 241
 
13.7%
3 140
 
8.0%
4 17
 
1.0%
7 15
 
0.9%
9 11
 
0.6%
8 10
 
0.6%
5 10
 
0.6%
6 6
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
C 110
25.0%
D 110
25.0%
F 110
25.0%
E 110
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1760
80.0%
Latin 440
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1033
58.7%
2 277
 
15.7%
1 241
 
13.7%
3 140
 
8.0%
4 17
 
1.0%
7 15
 
0.9%
9 11
 
0.6%
8 10
 
0.6%
5 10
 
0.6%
6 6
 
0.3%
Latin
ValueCountFrequency (%)
C 110
25.0%
D 110
25.0%
F 110
25.0%
E 110
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1033
47.0%
2 277
 
12.6%
1 241
 
11.0%
3 140
 
6.4%
C 110
 
5.0%
D 110
 
5.0%
F 110
 
5.0%
E 110
 
5.0%
4 17
 
0.8%
7 15
 
0.7%
Other values (4) 37
 
1.7%

인허가일자
Date

Distinct96
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size1012.0 B
Minimum1993-09-10 00:00:00
Maximum2023-06-15 00:00:00
2023-11-11T23:11:53.129524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:11:53.346282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1012.0 B
1
81 
3
26 
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 81
73.6%
3 26
 
23.6%
4 3
 
2.7%

Length

2023-11-11T23:11:53.509318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:11:53.630862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 81
73.6%
3 26
 
23.6%
4 3
 
2.7%

영업상태명
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1012.0 B
영업/정상
81 
폐업
26 
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length5
Mean length4.5363636
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row취소/말소/만료/정지/중지
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 81
73.6%
폐업 26
 
23.6%
취소/말소/만료/정지/중지 3
 
2.7%

Length

2023-11-11T23:11:53.782164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:11:53.941658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 81
73.6%
폐업 26
 
23.6%
취소/말소/만료/정지/중지 3
 
2.7%

상세영업상태코드
Categorical

Distinct4
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1012.0 B
13
81 
3
25 
35
 
3
34
 
1

Length

Max length2
Median length2
Mean length1.7727273
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row3
2nd row35
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
13 81
73.6%
3 25
 
22.7%
35 3
 
2.7%
34 1
 
0.9%

Length

2023-11-11T23:11:54.114592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:11:54.262330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 81
73.6%
3 25
 
22.7%
35 3
 
2.7%
34 1
 
0.9%

상세영업상태명
Categorical

Distinct4
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1012.0 B
영업중
81 
폐업
25 
직권말소
 
3
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.8181818
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 81
73.6%
폐업 25
 
22.7%
직권말소 3
 
2.7%
영업장폐쇄 1
 
0.9%

Length

2023-11-11T23:11:54.433315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:11:54.599995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 81
73.6%
폐업 25
 
22.7%
직권말소 3
 
2.7%
영업장폐쇄 1
 
0.9%

폐업일자
Date

MISSING 

Distinct25
Distinct (%)96.2%
Missing84
Missing (%)76.4%
Memory size1012.0 B
Minimum2004-08-13 00:00:00
Maximum2023-09-11 00:00:00
2023-11-11T23:11:54.758865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:11:54.986678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

소재지전화
Text

MISSING 

Distinct80
Distinct (%)93.0%
Missing24
Missing (%)21.8%
Memory size1012.0 B
2023-11-11T23:11:55.466097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.127907
Min length8

Characters and Unicode

Total characters957
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)86.0%

Sample

1st row070-8289-5629
2nd row053-423-2017
3rd row664-7000
4th row053-422-7679
5th row290-9507
ValueCountFrequency (%)
053-422-7679 2
 
2.3%
053-231-1288 2
 
2.3%
053-422-6280 2
 
2.3%
053-606-6235 2
 
2.3%
053-765-5632 2
 
2.3%
053-584-8719 2
 
2.3%
521-6262 1
 
1.1%
053-664-3148 1
 
1.1%
322-4688 1
 
1.1%
053)320-3502 1
 
1.1%
Other values (72) 72
81.8%
2023-11-11T23:11:56.175003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 149
15.6%
- 146
15.3%
5 125
13.1%
3 115
12.0%
6 91
9.5%
2 86
9.0%
1 62
6.5%
4 57
 
6.0%
8 47
 
4.9%
7 45
 
4.7%
Other values (4) 34
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 803
83.9%
Dash Punctuation 146
 
15.3%
Open Punctuation 3
 
0.3%
Close Punctuation 3
 
0.3%
Space Separator 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 149
18.6%
5 125
15.6%
3 115
14.3%
6 91
11.3%
2 86
10.7%
1 62
7.7%
4 57
 
7.1%
8 47
 
5.9%
7 45
 
5.6%
9 26
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 957
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 149
15.6%
- 146
15.3%
5 125
13.1%
3 115
12.0%
6 91
9.5%
2 86
9.0%
1 62
6.5%
4 57
 
6.0%
8 47
 
4.9%
7 45
 
4.7%
Other values (4) 34
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 957
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 149
15.6%
- 146
15.3%
5 125
13.1%
3 115
12.0%
6 91
9.5%
2 86
9.0%
1 62
6.5%
4 57
 
6.0%
8 47
 
4.9%
7 45
 
4.7%
Other values (4) 34
 
3.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Text

MISSING 

Distinct48
Distinct (%)78.7%
Missing49
Missing (%)44.5%
Memory size1012.0 B
2023-11-11T23:11:56.536494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters427
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)63.9%

Sample

1st row700-192
2nd row700-160
3rd row700-150
4th row700-832
5th row700-100
ValueCountFrequency (%)
702-851 3
 
4.9%
704-915 3
 
4.9%
700-100 3
 
4.9%
706-843 3
 
4.9%
706-813 2
 
3.3%
705-033 2
 
3.3%
700-093 2
 
3.3%
705-816 2
 
3.3%
700-150 2
 
3.3%
706-852 1
 
1.6%
Other values (38) 38
62.3%
2023-11-11T23:11:57.112870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 108
25.3%
7 64
15.0%
- 61
14.3%
8 37
 
8.7%
1 34
 
8.0%
3 27
 
6.3%
5 25
 
5.9%
2 24
 
5.6%
4 20
 
4.7%
6 16
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 366
85.7%
Dash Punctuation 61
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 108
29.5%
7 64
17.5%
8 37
 
10.1%
1 34
 
9.3%
3 27
 
7.4%
5 25
 
6.8%
2 24
 
6.6%
4 20
 
5.5%
6 16
 
4.4%
9 11
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 427
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 108
25.3%
7 64
15.0%
- 61
14.3%
8 37
 
8.7%
1 34
 
8.0%
3 27
 
6.3%
5 25
 
5.9%
2 24
 
5.6%
4 20
 
4.7%
6 16
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 427
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 108
25.3%
7 64
15.0%
- 61
14.3%
8 37
 
8.7%
1 34
 
8.0%
3 27
 
6.3%
5 25
 
5.9%
2 24
 
5.6%
4 20
 
4.7%
6 16
 
3.7%

소재지전체주소
Text

Distinct102
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-11-11T23:11:57.631854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length22.163636
Min length17

Characters and Unicode

Total characters2438
Distinct characters126
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

Unique95 ?
Unique (%)86.4%

Sample

1st row대구광역시 중구 종로2가 52번지 지하1층
2nd row대구광역시 중구 대봉동 40-62
3rd row대구광역시 중구 문화동 11-1번지 대구시티센터
4th row대구광역시 중구 공평동 16-11번지 지하 1층
5th row대구광역시 중구 남산동 942-1번지 정안빌딩 502호
ValueCountFrequency (%)
대구광역시 110
22.8%
중구 31
 
6.4%
남구 29
 
6.0%
대명동 27
 
5.6%
수성구 15
 
3.1%
달서구 12
 
2.5%
지하1층 12
 
2.5%
북구 9
 
1.9%
남산동 6
 
1.2%
동구 6
 
1.2%
Other values (177) 225
46.7%
2023-11-11T23:11:58.514505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
481
19.7%
구 220
 
9.0%
대 149
 
6.1%
1 142
 
5.8%
광 111
 
4.6%
역 111
 
4.6%
시 111
 
4.6%
동 111
 
4.6%
2 85
 
3.5%
- 79
 
3.2%
Other values (116) 838
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1377
56.5%
Decimal Number 493
 
20.2%
Space Separator 481
 
19.7%
Dash Punctuation 79
 
3.2%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 220
16.0%
대 149
 
10.8%
광 111
 
8.1%
역 111
 
8.1%
시 111
 
8.1%
동 111
 
8.1%
지 69
 
5.0%
번 50
 
3.6%
남 36
 
2.6%
중 31
 
2.3%
Other values (102) 378
27.5%
Decimal Number
ValueCountFrequency (%)
1 142
28.8%
2 85
17.2%
3 53
 
10.8%
5 40
 
8.1%
6 39
 
7.9%
0 37
 
7.5%
4 33
 
6.7%
8 29
 
5.9%
7 20
 
4.1%
9 15
 
3.0%
Space Separator
ValueCountFrequency (%)
481
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1377
56.5%
Common 1061
43.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 220
16.0%
대 149
 
10.8%
광 111
 
8.1%
역 111
 
8.1%
시 111
 
8.1%
동 111
 
8.1%
지 69
 
5.0%
번 50
 
3.6%
남 36
 
2.6%
중 31
 
2.3%
Other values (102) 378
27.5%
Common
ValueCountFrequency (%)
481
45.3%
1 142
 
13.4%
2 85
 
8.0%
- 79
 
7.4%
3 53
 
5.0%
5 40
 
3.8%
6 39
 
3.7%
0 37
 
3.5%
4 33
 
3.1%
8 29
 
2.7%
Other values (4) 43
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1377
56.5%
ASCII 1061
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
481
45.3%
1 142
 
13.4%
2 85
 
8.0%
- 79
 
7.4%
3 53
 
5.0%
5 40
 
3.8%
6 39
 
3.7%
0 37
 
3.5%
4 33
 
3.1%
8 29
 
2.7%
Other values (4) 43
 
4.1%
Hangul
ValueCountFrequency (%)
구 220
16.0%
대 149
 
10.8%
광 111
 
8.1%
역 111
 
8.1%
시 111
 
8.1%
동 111
 
8.1%
지 69
 
5.0%
번 50
 
3.6%
남 36
 
2.6%
중 31
 
2.3%
Other values (102) 378
27.5%

도로명전체주소
Text

MISSING 

Distinct102
Distinct (%)95.3%
Missing3
Missing (%)2.7%
Memory size1012.0 B
2023-11-11T23:11:59.263903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length26.738318
Min length20

Characters and Unicode

Total characters2861
Distinct characters180
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

Unique97 ?
Unique (%)90.7%

Sample

1st row대구광역시 중구 종로 30 (종로2가)
2nd row대구광역시 중구 동덕로 36-15 (대봉동)
3rd row대구광역시 중구 국채보상로 611 (문화동, 대구시티센터)
4th row대구광역시 중구 동성로3길 83 (공평동)
5th row대구광역시 중구 관덕정길 10 (남산동)
ValueCountFrequency (%)
대구광역시 108
 
18.4%
중구 29
 
4.9%
남구 29
 
4.9%
대명동 27
 
4.6%
수성구 14
 
2.4%
달서구 12
 
2.0%
북구 9
 
1.5%
지하1층 8
 
1.4%
명덕로 7
 
1.2%
현충로 6
 
1.0%
Other values (236) 339
57.7%
2023-11-11T23:12:00.143755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
484
 
16.9%
구 228
 
8.0%
대 163
 
5.7%
동 127
 
4.4%
역 110
 
3.8%
시 110
 
3.8%
광 108
 
3.8%
( 103
 
3.6%
) 103
 
3.6%
1 99
 
3.5%
Other values (170) 1226
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1727
60.4%
Space Separator 484
 
16.9%
Decimal Number 383
 
13.4%
Open Punctuation 103
 
3.6%
Close Punctuation 103
 
3.6%
Other Punctuation 45
 
1.6%
Dash Punctuation 14
 
0.5%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 228
 
13.2%
대 163
 
9.4%
동 127
 
7.4%
역 110
 
6.4%
시 110
 
6.4%
광 108
 
6.3%
로 95
 
5.5%
명 43
 
2.5%
길 43
 
2.5%
중 38
 
2.2%
Other values (154) 662
38.3%
Decimal Number
ValueCountFrequency (%)
1 99
25.8%
2 58
15.1%
4 41
10.7%
3 40
10.4%
0 30
 
7.8%
8 24
 
6.3%
9 23
 
6.0%
6 23
 
6.0%
5 23
 
6.0%
7 22
 
5.7%
Space Separator
ValueCountFrequency (%)
484
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Other Punctuation
ValueCountFrequency (%)
, 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1727
60.4%
Common 1132
39.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 228
 
13.2%
대 163
 
9.4%
동 127
 
7.4%
역 110
 
6.4%
시 110
 
6.4%
광 108
 
6.3%
로 95
 
5.5%
명 43
 
2.5%
길 43
 
2.5%
중 38
 
2.2%
Other values (154) 662
38.3%
Common
ValueCountFrequency (%)
484
42.8%
( 103
 
9.1%
) 103
 
9.1%
1 99
 
8.7%
2 58
 
5.1%
, 45
 
4.0%
4 41
 
3.6%
3 40
 
3.5%
0 30
 
2.7%
8 24
 
2.1%
Other values (5) 105
 
9.3%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1727
60.4%
ASCII 1134
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
484
42.7%
( 103
 
9.1%
) 103
 
9.1%
1 99
 
8.7%
2 58
 
5.1%
, 45
 
4.0%
4 41
 
3.6%
3 40
 
3.5%
0 30
 
2.6%
8 24
 
2.1%
Other values (6) 107
 
9.4%
Hangul
ValueCountFrequency (%)
구 228
 
13.2%
대 163
 
9.4%
동 127
 
7.4%
역 110
 
6.4%
시 110
 
6.4%
광 108
 
6.3%
로 95
 
5.5%
명 43
 
2.5%
길 43
 
2.5%
중 38
 
2.2%
Other values (154) 662
38.3%

도로명우편번호
Text

MISSING 

Distinct80
Distinct (%)80.0%
Missing10
Missing (%)9.1%
Memory size1012.0 B
2023-11-11T23:12:00.655859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.06
Min length5

Characters and Unicode

Total characters606
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)67.0%

Sample

1st row700-192
2nd row41952
3rd row700-733
4th row700-150
5th row700-832
ValueCountFrequency (%)
42402 7
 
7.0%
700-100 3
 
3.0%
702-851 3
 
3.0%
42412 2
 
2.0%
700-093 2
 
2.0%
705-816 2
 
2.0%
704-915 2
 
2.0%
705-033 2
 
2.0%
41966 2
 
2.0%
700-832 2
 
2.0%
Other values (70) 73
73.0%
2023-11-11T23:12:01.352802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 112
18.5%
4 84
13.9%
2 73
12.0%
7 68
11.2%
1 61
10.1%
- 53
8.7%
5 41
 
6.8%
8 34
 
5.6%
3 32
 
5.3%
9 27
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 553
91.3%
Dash Punctuation 53
 
8.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 112
20.3%
4 84
15.2%
2 73
13.2%
7 68
12.3%
1 61
11.0%
5 41
 
7.4%
8 34
 
6.1%
3 32
 
5.8%
9 27
 
4.9%
6 21
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 606
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 112
18.5%
4 84
13.9%
2 73
12.0%
7 68
11.2%
1 61
10.1%
- 53
8.7%
5 41
 
6.8%
8 34
 
5.6%
3 32
 
5.3%
9 27
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 606
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 112
18.5%
4 84
13.9%
2 73
12.0%
7 68
11.2%
1 61
10.1%
- 53
8.7%
5 41
 
6.8%
8 34
 
5.6%
3 32
 
5.3%
9 27
 
4.5%

사업장명
Text

Distinct106
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-11-11T23:12:01.798115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length14
Mean length8.3545455
Min length2

Characters and Unicode

Total characters919
Distinct characters222
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

Unique103 ?
Unique (%)93.6%

Sample

1st row떼아뜨로 중구
2nd row떼아뜨르 분도(분도소극장)
3rd row오월의정원 아트홀
4th row아트플러스씨어터1관
5th row뉴컴퍼니소극장
ValueCountFrequency (%)
아트홀 9
 
5.0%
소극장 6
 
3.3%
대구광역시 3
 
1.7%
야외공연장 3
 
1.7%
대구문화예술회관 3
 
1.7%
더제이댄스센터 3
 
1.7%
대덕문화전당 3
 
1.7%
대구오페라하우스 2
 
1.1%
수성아트피아 2
 
1.1%
드림홀 2
 
1.1%
Other values (134) 145
80.1%
2023-11-11T23:12:02.509911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
 
7.7%
아 47
 
5.1%
홀 39
 
4.2%
트 38
 
4.1%
장 31
 
3.4%
대 28
 
3.0%
구 24
 
2.6%
문 23
 
2.5%
극 23
 
2.5%
화 23
 
2.5%
Other values (212) 572
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 806
87.7%
Space Separator 71
 
7.7%
Lowercase Letter 15
 
1.6%
Uppercase Letter 8
 
0.9%
Open Punctuation 5
 
0.5%
Close Punctuation 5
 
0.5%
Decimal Number 5
 
0.5%
Other Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 47
 
5.8%
홀 39
 
4.8%
트 38
 
4.7%
장 31
 
3.8%
대 28
 
3.5%
구 24
 
3.0%
문 23
 
2.9%
극 23
 
2.9%
화 23
 
2.9%
터 19
 
2.4%
Other values (187) 511
63.4%
Lowercase Letter
ValueCountFrequency (%)
a 2
13.3%
e 2
13.3%
s 2
13.3%
t 2
13.3%
o 1
6.7%
i 1
6.7%
d 1
6.7%
u 1
6.7%
p 1
6.7%
c 1
6.7%
Uppercase Letter
ValueCountFrequency (%)
S 3
37.5%
R 1
 
12.5%
G 1
 
12.5%
C 1
 
12.5%
T 1
 
12.5%
E 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
1 2
40.0%
5 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
' 1
 
25.0%
Space Separator
ValueCountFrequency (%)
71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 806
87.7%
Common 90
 
9.8%
Latin 23
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 47
 
5.8%
홀 39
 
4.8%
트 38
 
4.7%
장 31
 
3.8%
대 28
 
3.5%
구 24
 
3.0%
문 23
 
2.9%
극 23
 
2.9%
화 23
 
2.9%
터 19
 
2.4%
Other values (187) 511
63.4%
Latin
ValueCountFrequency (%)
S 3
13.0%
a 2
 
8.7%
e 2
 
8.7%
s 2
 
8.7%
t 2
 
8.7%
R 1
 
4.3%
o 1
 
4.3%
i 1
 
4.3%
d 1
 
4.3%
u 1
 
4.3%
Other values (7) 7
30.4%
Common
ValueCountFrequency (%)
71
78.9%
( 5
 
5.6%
) 5
 
5.6%
. 3
 
3.3%
2 2
 
2.2%
1 2
 
2.2%
' 1
 
1.1%
5 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 806
87.7%
ASCII 113
 
12.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71
62.8%
( 5
 
4.4%
) 5
 
4.4%
S 3
 
2.7%
. 3
 
2.7%
a 2
 
1.8%
e 2
 
1.8%
s 2
 
1.8%
t 2
 
1.8%
2 2
 
1.8%
Other values (15) 16
 
14.2%
Hangul
ValueCountFrequency (%)
아 47
 
5.8%
홀 39
 
4.8%
트 38
 
4.7%
장 31
 
3.8%
대 28
 
3.5%
구 24
 
3.0%
문 23
 
2.9%
극 23
 
2.9%
화 23
 
2.9%
터 19
 
2.4%
Other values (187) 511
63.4%

최종수정시점
Date

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
Minimum2004-08-13 13:03:15
Maximum2023-10-31 16:59:09
2023-11-11T23:12:02.758135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:12:03.074322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
U
59 
I
51 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 59
53.6%
I 51
46.4%

Length

2023-11-11T23:12:03.317149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:03.477573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 59
53.6%
i 51
46.4%

데이터갱신일자
Date

Distinct68
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
Minimum2018-08-31 23:59:59
Maximum2023-11-02 02:40:00
2023-11-11T23:12:03.660206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-11-11T23:12:04.058654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

Distinct96
Distinct (%)88.1%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean343641.31
Minimum331185.81
Maximum356310.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-11-11T23:12:04.429448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331185.81
5-th percentile338088.34
Q1342632.25
median343510.57
Q3344724.33
95-th percentile350082.76
Maximum356310.92
Range25125.103
Interquartile range (IQR)2092.0808

Descriptive statistics

Standard deviation3690.4174
Coefficient of variation (CV)0.010739155
Kurtosis3.2581103
Mean343641.31
Median Absolute Deviation (MAD)976.789
Skewness0.22896197
Sum37456903
Variance13619181
MonotonicityNot monotonic
2023-11-11T23:12:04.717280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340795.977161494 3
 
2.7%
345032.238220744 2
 
1.8%
344137.093576999 2
 
1.8%
342425.061165106 2
 
1.8%
338088.341392717 2
 
1.8%
337497.848974368 2
 
1.8%
343977.875348669 2
 
1.8%
344011.049019183 2
 
1.8%
343490.545869678 2
 
1.8%
347062.290555526 2
 
1.8%
Other values (86) 88
80.0%
ValueCountFrequency (%)
331185.814906231 1
0.9%
331919.969110002 1
0.9%
335535.627309092 1
0.9%
337497.848974368 2
1.8%
338088.341392717 2
1.8%
339268.571431824 1
0.9%
339459.676122441 1
0.9%
339517.64729907 1
0.9%
339717.871628279 1
0.9%
340039.824132551 1
0.9%
ValueCountFrequency (%)
356310.91765893 1
0.9%
354384.426572907 1
0.9%
354236.490128796 1
0.9%
352335.045028381 1
0.9%
350741.542657212 2
1.8%
349094.598043486 1
0.9%
348635.435811309 1
0.9%
348194.499420792 1
0.9%
348051.271044713 1
0.9%
347521.699762743 1
0.9%

좌표정보(Y)
Real number (ℝ)

Distinct96
Distinct (%)88.1%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean263518.39
Minimum245297.01
Maximum305215.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-11-11T23:12:04.986271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum245297.01
5-th percentile259353.08
Q1262388.09
median263001.97
Q3264418.87
95-th percentile266756.33
Maximum305215.24
Range59918.227
Interquartile range (IQR)2030.7892

Descriptive statistics

Standard deviation5001.538
Coefficient of variation (CV)0.018979844
Kurtosis46.237655
Mean263518.39
Median Absolute Deviation (MAD)1295.5144
Skewness5.055561
Sum28723504
Variance25015382
MonotonicityNot monotonic
2023-11-11T23:12:05.266317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261627.701492359 3
 
2.7%
262949.871621315 2
 
1.8%
263748.241448186 2
 
1.8%
260179.135547885 2
 
1.8%
262510.618834519 2
 
1.8%
261409.692978471 2
 
1.8%
264225.659079816 2
 
1.8%
264872.140170472 2
 
1.8%
264007.292152516 2
 
1.8%
260067.030472438 2
 
1.8%
Other values (86) 88
80.0%
ValueCountFrequency (%)
245297.011182811 1
0.9%
256975.477780741 1
0.9%
257299.539852377 1
0.9%
258773.367638176 1
0.9%
258933.058088754 1
0.9%
259144.519321173 1
0.9%
259665.92368622 1
0.9%
259977.607682552 2
1.8%
260067.030472438 2
1.8%
260158.750203679 1
0.9%
ValueCountFrequency (%)
305215.23793532 1
0.9%
271756.498796288 1
0.9%
271655.049731543 1
0.9%
271412.222622685 1
0.9%
268478.202709211 1
0.9%
266767.746662336 1
0.9%
266739.202916472 1
0.9%
266134.259920881 2
1.8%
266003.475373434 1
0.9%
265949.975416216 1
0.9%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
공연장
110 

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 110
100.0%

Length

2023-11-11T23:12:05.507210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:05.663985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 110
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
공연장
110 

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 110
100.0%

Length

2023-11-11T23:12:05.844512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:06.014742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 110
100.0%

지역구분명
Categorical

IMBALANCE 

Distinct10
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size1012.0 B
<NA>
80 
자연녹지지역
 
8
일반주거지역
 
8
중심상업지역
 
5
일반상업지역
 
3
Other values (5)
 
6

Length

Max length6
Median length4
Mean length4.5090909
Min length4

Unique

Unique4 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 80
72.7%
자연녹지지역 8
 
7.3%
일반주거지역 8
 
7.3%
중심상업지역 5
 
4.5%
일반상업지역 3
 
2.7%
근린상업지역 2
 
1.8%
녹지지역 1
 
0.9%
전용주거지역 1
 
0.9%
주거지역 1
 
0.9%
생산녹지지역 1
 
0.9%

Length

2023-11-11T23:12:06.250292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:06.834900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 80
72.7%
자연녹지지역 8
 
7.3%
일반주거지역 8
 
7.3%
중심상업지역 5
 
4.5%
일반상업지역 3
 
2.7%
근린상업지역 2
 
1.8%
녹지지역 1
 
0.9%
전용주거지역 1
 
0.9%
주거지역 1
 
0.9%
생산녹지지역 1
 
0.9%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)16.9%
Missing51
Missing (%)46.4%
Infinite0
Infinite (%)0.0%
Mean3.0169492
Minimum0
Maximum13
Zeros21
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-11-11T23:12:07.088623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q35
95-th percentile6.3
Maximum13
Range13
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.8797242
Coefficient of variation (CV)0.95451531
Kurtosis1.698125
Mean3.0169492
Median Absolute Deviation (MAD)2
Skewness0.98684518
Sum178
Variance8.2928112
MonotonicityNot monotonic
2023-11-11T23:12:07.275216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 21
19.1%
5 13
 
11.8%
3 9
 
8.2%
4 8
 
7.3%
6 3
 
2.7%
9 1
 
0.9%
2 1
 
0.9%
1 1
 
0.9%
11 1
 
0.9%
13 1
 
0.9%
(Missing) 51
46.4%
ValueCountFrequency (%)
0 21
19.1%
1 1
 
0.9%
2 1
 
0.9%
3 9
8.2%
4 8
 
7.3%
5 13
11.8%
6 3
 
2.7%
9 1
 
0.9%
11 1
 
0.9%
13 1
 
0.9%
ValueCountFrequency (%)
13 1
 
0.9%
11 1
 
0.9%
9 1
 
0.9%
6 3
 
2.7%
5 13
11.8%
4 8
 
7.3%
3 9
8.2%
2 1
 
0.9%
1 1
 
0.9%
0 21
19.1%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1012.0 B
<NA>
87 
기타
16 
아파트지역
 
4
주택가주변
 
3

Length

Max length5
Median length4
Mean length3.7727273
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> 87
79.1%
기타 16
 
14.5%
아파트지역 4
 
3.6%
주택가주변 3
 
2.7%

Length

2023-11-11T23:12:07.478657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:07.659722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
79.1%
기타 16
 
14.5%
아파트지역 4
 
3.6%
주택가주변 3
 
2.7%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

건물용도명
Categorical

Distinct6
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
<NA>
64 
근린생활시설
22 
문화시설
19 
기타
 
3
단독주택
 
1

Length

Max length6
Median length4
Mean length4.3636364
Min length2

Unique

Unique2 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 64
58.2%
근린생활시설 22
 
20.0%
문화시설 19
 
17.3%
기타 3
 
2.7%
단독주택 1
 
0.9%
교육연구시설 1
 
0.9%

Length

2023-11-11T23:12:07.880987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:08.078678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
58.2%
근린생활시설 22
 
20.0%
문화시설 19
 
17.3%
기타 3
 
2.7%
단독주택 1
 
0.9%
교육연구시설 1
 
0.9%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)16.7%
Missing50
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean2.75
Minimum0
Maximum12
Zeros19
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-11-11T23:12:08.294280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q34
95-th percentile8
Maximum12
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.7285372
Coefficient of variation (CV)0.99219535
Kurtosis2.1404672
Mean2.75
Median Absolute Deviation (MAD)1.5
Skewness1.2976242
Sum165
Variance7.4449153
MonotonicityNot monotonic
2023-11-11T23:12:08.473218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 19
 
17.3%
3 12
 
10.9%
4 9
 
8.2%
2 9
 
8.2%
8 3
 
2.7%
5 3
 
2.7%
6 2
 
1.8%
11 1
 
0.9%
12 1
 
0.9%
1 1
 
0.9%
(Missing) 50
45.5%
ValueCountFrequency (%)
0 19
17.3%
1 1
 
0.9%
2 9
8.2%
3 12
10.9%
4 9
8.2%
5 3
 
2.7%
6 2
 
1.8%
8 3
 
2.7%
11 1
 
0.9%
12 1
 
0.9%
ValueCountFrequency (%)
12 1
 
0.9%
11 1
 
0.9%
8 3
 
2.7%
6 2
 
1.8%
5 3
 
2.7%
4 9
8.2%
3 12
10.9%
2 9
8.2%
1 1
 
0.9%
0 19
17.3%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)8.7%
Missing41
Missing (%)37.3%
Infinite0
Infinite (%)0.0%
Mean0.94202899
Minimum0
Maximum5
Zeros25
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-11-11T23:12:08.640918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2.6
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0694152
Coefficient of variation (CV)1.1352253
Kurtosis5.1824287
Mean0.94202899
Median Absolute Deviation (MAD)1
Skewness1.9755655
Sum65
Variance1.1436488
MonotonicityNot monotonic
2023-11-11T23:12:08.830909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 32
29.1%
0 25
22.7%
2 8
 
7.3%
5 2
 
1.8%
4 1
 
0.9%
3 1
 
0.9%
(Missing) 41
37.3%
ValueCountFrequency (%)
0 25
22.7%
1 32
29.1%
2 8
 
7.3%
3 1
 
0.9%
4 1
 
0.9%
5 2
 
1.8%
ValueCountFrequency (%)
5 2
 
1.8%
4 1
 
0.9%
3 1
 
0.9%
2 8
 
7.3%
1 32
29.1%
0 25
22.7%

객실수
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
<NA>
74 
0
36 

Length

Max length4
Median length4
Mean length3.0181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 74
67.3%
0 36
32.7%

Length

2023-11-11T23:12:09.035470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:09.231167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
67.3%
0 36
32.7%

건축연면적
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
<NA>
74 
0
36 

Length

Max length4
Median length4
Mean length3.0181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 74
67.3%
0 36
32.7%

Length

2023-11-11T23:12:09.442676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:09.632915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
67.3%
0 36
32.7%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

선박총톤수
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
<NA>
74 
0
36 

Length

Max length4
Median length4
Mean length3.0181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 74
67.3%
0 36
32.7%

Length

2023-11-11T23:12:09.851333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:10.057505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
67.3%
0 36
32.7%

선박척수
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
<NA>
74 
0
36 

Length

Max length4
Median length4
Mean length3.0181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 74
67.3%
0 36
32.7%

Length

2023-11-11T23:12:10.426071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:10.635882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
67.3%
0 36
32.7%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

무대면적
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
<NA>
74 
0
36 

Length

Max length4
Median length4
Mean length3.0181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 74
67.3%
0 36
32.7%

Length

2023-11-11T23:12:10.819837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:11.033519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
67.3%
0 36
32.7%

좌석수
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
<NA>
74 
0
36 

Length

Max length4
Median length4
Mean length3.0181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 74
67.3%
0 36
32.7%

Length

2023-11-11T23:12:11.247444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:11.417004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
67.3%
0 36
32.7%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
<NA>
74 
0
36 

Length

Max length4
Median length4
Mean length3.0181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 74
67.3%
0 36
32.7%

Length

2023-11-11T23:12:11.592765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:11.817215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
67.3%
0 36
32.7%

시설면적
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
<NA>
74 
0
36 

Length

Max length4
Median length4
Mean length3.0181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 74
67.3%
0 36
32.7%

Length

2023-11-11T23:12:12.008752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:12.165055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
67.3%
0 36
32.7%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
<NA>
74 
0
36 

Length

Max length4
Median length4
Mean length3.0181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 74
67.3%
0 36
32.7%

Length

2023-11-11T23:12:12.342381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:12.543835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
67.3%
0 36
32.7%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

자본금
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
<NA>
74 
0
36 

Length

Max length4
Median length4
Mean length3.0181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 74
67.3%
0 36
32.7%

Length

2023-11-11T23:12:12.731718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:12.927930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
67.3%
0 36
32.7%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

시설규모
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
<NA>
74 
0
36 

Length

Max length4
Median length4
Mean length3.0181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 74
67.3%
0 36
32.7%

Length

2023-11-11T23:12:13.139302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-11-11T23:12:13.325752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
67.3%
0 36
32.7%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01공연장03_06_01_P3410000CDFE12300020120000032012-10-23<NA>3폐업3폐업2019-06-24<NA><NA><NA>070-8289-5629<NA>700-192대구광역시 중구 종로2가 52번지 지하1층대구광역시 중구 종로 30 (종로2가)700-192떼아뜨로 중구2019-06-24 16:00:11U2019-06-26 02:40:00<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_P3410000CDFE12300020160000012016-03-17<NA>4취소/말소/만료/정지/중지35직권말소2021-07-08<NA><NA><NA>053-423-2017<NA><NA>대구광역시 중구 대봉동 40-62대구광역시 중구 동덕로 36-15 (대봉동)41952떼아뜨르 분도(분도소극장)2021-07-08 14:23:55U2021-07-10 02:40:00<NA>344968.164947263263.040859공연장공연장<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
23공연장03_06_01_P3410000CDFE12300020100000012010-04-06<NA>3폐업3폐업2015-06-30<NA><NA><NA>664-7000<NA>700-160대구광역시 중구 문화동 11-1번지 대구시티센터대구광역시 중구 국채보상로 611 (문화동, 대구시티센터)700-733오월의정원 아트홀2016-12-08 16:40:26I2018-08-31 23:59:59<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>
34공연장03_06_01_P3410000CDFE12300020110000012011-12-07<NA>3폐업3폐업2019-09-26<NA><NA><NA>053-422-7679<NA>700-150대구광역시 중구 공평동 16-11번지 지하 1층대구광역시 중구 동성로3길 83 (공평동)700-150아트플러스씨어터1관2019-09-26 18:06:36U2019-09-28 02:40:00<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>
45공연장03_06_01_P3410000CDFE12300020120000022012-08-16<NA>3폐업3폐업2016-11-29<NA><NA><NA>290-9507<NA>700-832대구광역시 중구 남산동 942-1번지 정안빌딩 502호대구광역시 중구 관덕정길 10 (남산동)700-832뉴컴퍼니소극장2016-11-30 17:52:11I2018-08-31 23:59:59<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>
56공연장03_06_01_P3410000CDFE12300020180000012018-05-21<NA>3폐업3폐업2020-07-13<NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 466대구광역시 중구 달구벌대로414길 6, 4층 (남산동)41966지니프로덕션2020-07-16 11:42:01U2020-07-18 02:40:00<NA>343490.54587264007.292153공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><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_P3410000CDFE12300020180000022018-05-21<NA>3폐업3폐업2020-07-09<NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 466대구광역시 중구 달구벌대로414길 6, 3층 (남산동)41966더제이댄스센터2020-07-09 11:49:08U2020-07-11 02:40:00<NA>343490.54587264007.292153공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><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_P3410000CDFE12300020040000012004-07-20<NA>3폐업3폐업2014-04-16<NA><NA><NA>426-4903<NA>700-100대구광역시 중구 화전동 11-1번지 지하1층대구광역시 중구 교동길 15, 지하1층 (화전동)700-100스페이스콩코드2014-04-16 11:24:42I2018-08-31 23:59:59<NA>344011.049019264872.14017공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><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_P3410000CDFE12300020150000032015-07-21<NA>3폐업3폐업2016-12-30<NA><NA><NA><NA><NA>700-835대구광역시 중구 남산동 582-7번지대구광역시 중구 명륜로12길 21 (남산동)700-835대안문화공간아트센터 고리2016-12-30 17:32:17I2018-08-31 23:59:59<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>
910공연장03_06_01_P3410000CDFE12300019930000011993-09-10<NA>1영업/정상13영업중<NA><NA><NA><NA>420-8089<NA>700-811대구광역시 중구 대봉동 214번지대구광역시 중구 명덕로 333 (대봉동)700-811프라임홀2016-11-23 09:21:43I2018-08-31 23:59:59<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>
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101102공연장03_06_01_P3470000CDFE12300020180000012018-12-07<NA>1영업/정상13영업중<NA><NA><NA><NA>053-231-1288<NA><NA>대구광역시 달서구 용산동 230-6 대구학생문화센터대구광역시 달서구 용산로 181, 대구학생문화센터 (용산동)42635대구학생문화센터 소극장2023-04-28 16:53:05U2023-04-30 02:40:00<NA>338088.341393262510.618835공연장공연장<NA>0<NA><NA><NA><NA>0100<NA><NA>00<NA>00<NA>00<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
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105106공연장03_06_01_P3470000CDFE12300020020000012002-11-22<NA>1영업/정상13영업중<NA><NA><NA><NA>053-606-6235<NA>704-915대구광역시 달서구 성당동 187대구광역시 달서구 공원순환로 201 (성당동)704-915대구문화예술회관 팔공홀2022-12-23 15:50:49U2022-12-25 02:40:00<NA>340795.977161261627.701492공연장공연장<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
106107공연장03_06_01_P3480000CDFE12300020040000012004-09-10<NA>1영업/정상13영업중<NA><NA><NA><NA>611-0010<NA>711-873대구광역시 달성군 현풍읍 상리 627대구광역시 달성군 현풍읍 현풍동로 92<NA>달성문화원공연장2021-01-21 15:35:52U2021-01-23 02:40:00<NA>331185.814906245297.011183공연장공연장자연녹지지역3기타<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>
107108공연장03_06_01_P3480000CDFE12300020200000012020-09-09<NA>1영업/정상13영업중<NA><NA><NA><NA>053-261-9808<NA><NA>대구광역시 달성군 화원읍 천내리 430-1대구광역시 달성군 화원읍 비슬로520길 642962블루마술극장2020-09-09 13:13:06I2020-09-11 00:23:12<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>
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