Overview

Dataset statistics

Number of variables63
Number of observations104
Missing cells2628
Missing cells (%)40.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory56.1 KiB
Average record size in memory552.3 B

Variable types

Numeric12
Categorical23
Text5
Unsupported22
DateTime1

Dataset

Description22년06월_6270000_대구광역시_03_06_01_P_공연장
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093914&dataSetDetailId=DDI_0000093924&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 (51.5%)Imbalance
주변환경명 is highly imbalanced (52.3%)Imbalance
인허가취소일자 has 104 (100.0%) missing valuesMissing
폐업일자 has 79 (76.0%) missing valuesMissing
휴업시작일자 has 104 (100.0%) missing valuesMissing
휴업종료일자 has 104 (100.0%) missing valuesMissing
재개업일자 has 104 (100.0%) missing valuesMissing
소재지전화 has 22 (21.2%) missing valuesMissing
소재지면적 has 104 (100.0%) missing valuesMissing
소재지우편번호 has 43 (41.3%) missing valuesMissing
도로명전체주소 has 3 (2.9%) missing valuesMissing
도로명우편번호 has 9 (8.7%) missing valuesMissing
업태구분명 has 104 (100.0%) missing valuesMissing
총층수 has 65 (62.5%) missing valuesMissing
제작취급품목내용 has 104 (100.0%) missing valuesMissing
보험기관명 has 104 (100.0%) missing valuesMissing
지상층수 has 63 (60.6%) missing valuesMissing
지하층수 has 54 (51.9%) missing valuesMissing
영문상호명 has 104 (100.0%) missing valuesMissing
영문상호주소 has 104 (100.0%) missing valuesMissing
선박제원 has 104 (100.0%) missing valuesMissing
기념품종류 has 104 (100.0%) missing valuesMissing
놀이기구수내역 has 104 (100.0%) missing valuesMissing
방송시설유무 has 104 (100.0%) missing valuesMissing
발전시설유무 has 104 (100.0%) missing valuesMissing
의무실유무 has 104 (100.0%) missing valuesMissing
안내소유무 has 104 (100.0%) missing valuesMissing
기획여행보험시작일자 has 104 (100.0%) missing valuesMissing
기획여행보험종료일자 has 104 (100.0%) missing valuesMissing
보험시작일자 has 104 (100.0%) missing valuesMissing
보험종료일자 has 104 (100.0%) missing valuesMissing
부대시설내역 has 104 (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 6 (5.8%) zerosZeros
지상층수 has 5 (4.8%) zerosZeros
지하층수 has 8 (7.7%) zerosZeros

Reproduction

Analysis started2024-04-22 00:16:57.960453
Analysis finished2024-04-22 00:16:58.680873
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.5
Minimum1
Maximum104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T09:16:58.757287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.15
Q126.75
median52.5
Q378.25
95-th percentile98.85
Maximum104
Range103
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation30.166206
Coefficient of variation (CV)0.5745944
Kurtosis-1.2
Mean52.5
Median Absolute Deviation (MAD)26
Skewness0
Sum5460
Variance910
MonotonicityStrictly increasing
2024-04-22T09:16:58.898118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
54 1
 
1.0%
78 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
Other values (94) 94
90.4%
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 (%)
104 1
1.0%
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size964.0 B
공연장
104 

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 104
100.0%

Length

2024-04-22T09:16:59.018254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:16:59.103032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 104
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size964.0 B
03_06_01_P
104 

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 104
100.0%

Length

2024-04-22T09:16:59.196021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:16:59.280020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_06_01_p 104
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3437788.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T09:16:59.360914image/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 deviation22510.267
Coefficient of variation (CV)0.0065478917
Kurtosis-1.2797853
Mean3437788.5
Median Absolute Deviation (MAD)20000
Skewness0.083657697
Sum3.5753 × 108
Variance5.067121 × 108
MonotonicityIncreasing
2024-04-22T09:16:59.482997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3410000 31
29.8%
3440000 26
25.0%
3460000 14
13.5%
3470000 12
 
11.5%
3450000 9
 
8.7%
3420000 6
 
5.8%
3430000 3
 
2.9%
3480000 3
 
2.9%
ValueCountFrequency (%)
3410000 31
29.8%
3420000 6
 
5.8%
3430000 3
 
2.9%
3440000 26
25.0%
3450000 9
 
8.7%
3460000 14
13.5%
3470000 12
 
11.5%
3480000 3
 
2.9%
ValueCountFrequency (%)
3480000 3
 
2.9%
3470000 12
 
11.5%
3460000 14
13.5%
3450000 9
 
8.7%
3440000 26
25.0%
3430000 3
 
2.9%
3420000 6
 
5.8%
3410000 31
29.8%

관리번호
Text

Distinct54
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
2024-04-22T09:16:59.693872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2080
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

Unique26 ?
Unique (%)25.0%

Sample

1st rowCDFE1230002012000003
2nd rowCDFE1230002014000002
3rd rowCDFE1230002010000001
4th rowCDFE1230002011000001
5th rowCDFE1230002012000002
ValueCountFrequency (%)
cdfe1230002004000001 6
 
5.8%
cdfe1230002020000001 5
 
4.8%
cdfe1230002018000001 5
 
4.8%
cdfe1230002012000001 4
 
3.8%
cdfe1230002017000001 4
 
3.8%
cdfe1230002016000001 4
 
3.8%
cdfe1230002002000001 4
 
3.8%
cdfe1230002011000001 3
 
2.9%
cdfe1230002003000001 3
 
2.9%
cdfe1230002013000001 3
 
2.9%
Other values (44) 63
60.6%
2024-04-22T09:17:00.030466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 977
47.0%
2 257
 
12.4%
1 231
 
11.1%
3 131
 
6.3%
C 104
 
5.0%
D 104
 
5.0%
F 104
 
5.0%
E 104
 
5.0%
4 17
 
0.8%
7 14
 
0.7%
Other values (4) 37
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1664
80.0%
Uppercase Letter 416
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 977
58.7%
2 257
 
15.4%
1 231
 
13.9%
3 131
 
7.9%
4 17
 
1.0%
7 14
 
0.8%
9 11
 
0.7%
8 10
 
0.6%
5 10
 
0.6%
6 6
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 104
25.0%
D 104
25.0%
F 104
25.0%
E 104
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1664
80.0%
Latin 416
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 977
58.7%
2 257
 
15.4%
1 231
 
13.9%
3 131
 
7.9%
4 17
 
1.0%
7 14
 
0.8%
9 11
 
0.7%
8 10
 
0.6%
5 10
 
0.6%
6 6
 
0.4%
Latin
ValueCountFrequency (%)
C 104
25.0%
D 104
25.0%
F 104
25.0%
E 104
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 977
47.0%
2 257
 
12.4%
1 231
 
11.1%
3 131
 
6.3%
C 104
 
5.0%
D 104
 
5.0%
F 104
 
5.0%
E 104
 
5.0%
4 17
 
0.8%
7 14
 
0.7%
Other values (4) 37
 
1.8%

인허가일자
Real number (ℝ)

Distinct91
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20113398
Minimum19930910
Maximum20220308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T09:17:00.175264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19930910
5-th percentile20021122
Q120040886
median20120920
Q320170644
95-th percentile20209461
Maximum20220308
Range289398
Interquartile range (IQR)129758.25

Descriptive statistics

Standard deviation68123.534
Coefficient of variation (CV)0.0033869729
Kurtosis-0.99158253
Mean20113398
Median Absolute Deviation (MAD)59310
Skewness-0.32183065
Sum2.0917934 × 109
Variance4.6408159 × 109
MonotonicityNot monotonic
2024-04-22T09:17:00.303156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021122 4
 
3.8%
20021231 3
 
2.9%
20111230 3
 
2.9%
20030305 2
 
1.9%
20021226 2
 
1.9%
20180521 2
 
1.9%
20070425 2
 
1.9%
20161104 2
 
1.9%
20200604 2
 
1.9%
20030121 1
 
1.0%
Other values (81) 81
77.9%
ValueCountFrequency (%)
19930910 1
 
1.0%
19980918 1
 
1.0%
19990421 1
 
1.0%
20021122 4
3.8%
20021226 2
1.9%
20021231 3
2.9%
20030106 1
 
1.0%
20030107 1
 
1.0%
20030121 1
 
1.0%
20030123 1
 
1.0%
ValueCountFrequency (%)
20220308 1
1.0%
20220224 1
1.0%
20220214 1
1.0%
20211203 1
1.0%
20211109 1
1.0%
20210914 1
1.0%
20201228 1
1.0%
20200909 1
1.0%
20200608 1
1.0%
20200605 1
1.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
1
76 
3
25 
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 76
73.1%
3 25
 
24.0%
4 3
 
2.9%

Length

2024-04-22T09:17:00.430489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:00.523767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 76
73.1%
3 25
 
24.0%
4 3
 
2.9%

영업상태명
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
영업/정상
76 
폐업
25 
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length5
Mean length4.5384615
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 76
73.1%
폐업 25
 
24.0%
취소/말소/만료/정지/중지 3
 
2.9%

Length

2024-04-22T09:17:00.646885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:00.740942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 76
73.1%
폐업 25
 
24.0%
취소/말소/만료/정지/중지 3
 
2.9%

상세영업상태코드
Categorical

Distinct4
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size964.0 B
13
76 
3
24 
35
 
3
34
 
1

Length

Max length2
Median length2
Mean length1.7692308
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 76
73.1%
3 24
 
23.1%
35 3
 
2.9%
34 1
 
1.0%

Length

2024-04-22T09:17:00.850268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:00.949013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 76
73.1%
3 24
 
23.1%
35 3
 
2.9%
34 1
 
1.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size964.0 B
영업중
76 
폐업
24 
직권말소
 
3
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.8173077
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 76
73.1%
폐업 24
 
23.1%
직권말소 3
 
2.9%
영업장폐쇄 1
 
1.0%

Length

2024-04-22T09:17:01.069431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:01.188898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 76
73.1%
폐업 24
 
23.1%
직권말소 3
 
2.9%
영업장폐쇄 1
 
1.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)96.0%
Missing79
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean20164290
Minimum20040813
Maximum20210708
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T09:17:01.298541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040813
5-th percentile20057046
Q120150630
median20180306
Q320200709
95-th percentile20210441
Maximum20210708
Range169895
Interquartile range (IQR)50079

Descriptive statistics

Standard deviation47744.279
Coefficient of variation (CV)0.002367764
Kurtosis1.4722587
Mean20164290
Median Absolute Deviation (MAD)20407
Skewness-1.4138079
Sum5.0410724 × 108
Variance2.2795161 × 109
MonotonicityNot monotonic
2024-04-22T09:17:01.428672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20200709 2
 
1.9%
20180306 1
 
1.0%
20140320 1
 
1.0%
20210526 1
 
1.0%
20200630 1
 
1.0%
20161124 1
 
1.0%
20210101 1
 
1.0%
20040813 1
 
1.0%
20051031 1
 
1.0%
20081106 1
 
1.0%
Other values (14) 14
 
13.5%
(Missing) 79
76.0%
ValueCountFrequency (%)
20040813 1
1.0%
20051031 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%
20161129 1
1.0%
ValueCountFrequency (%)
20210708 1
1.0%
20210526 1
1.0%
20210101 1
1.0%
20200907 1
1.0%
20200713 1
1.0%
20200709 2
1.9%
20200630 1
1.0%
20200227 1
1.0%
20190926 1
1.0%
20190624 1
1.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

소재지전화
Text

MISSING 

Distinct77
Distinct (%)93.9%
Missing22
Missing (%)21.2%
Memory size964.0 B
2024-04-22T09:17:01.703587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.926829
Min length8

Characters and Unicode

Total characters896
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

Unique72 ?
Unique (%)87.8%

Sample

1st row070-8289-5629
2nd row053-421-7880
3rd row664-7000
4th row053-422-7679
5th row290-9507
ValueCountFrequency (%)
053-422-7679 2
 
2.4%
053-765-5632 2
 
2.4%
053-584-8719 2
 
2.4%
053-606-6235 2
 
2.4%
053-231-1300 2
 
2.4%
9323 1
 
1.2%
666-6000 1
 
1.2%
053)665-2191 1
 
1.2%
053)665-3081 1
 
1.2%
322-4688 1
 
1.2%
Other values (69) 69
82.1%
2024-04-22T09:17:02.120999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 136
15.2%
- 134
15.0%
5 117
13.1%
3 109
12.2%
6 89
9.9%
2 82
9.2%
1 58
6.5%
4 51
 
5.7%
7 45
 
5.0%
8 40
 
4.5%
Other values (4) 35
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 752
83.9%
Dash Punctuation 134
 
15.0%
Open Punctuation 4
 
0.4%
Close Punctuation 4
 
0.4%
Space Separator 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 136
18.1%
5 117
15.6%
3 109
14.5%
6 89
11.8%
2 82
10.9%
1 58
7.7%
4 51
 
6.8%
7 45
 
6.0%
8 40
 
5.3%
9 25
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 896
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 136
15.2%
- 134
15.0%
5 117
13.1%
3 109
12.2%
6 89
9.9%
2 82
9.2%
1 58
6.5%
4 51
 
5.7%
7 45
 
5.0%
8 40
 
4.5%
Other values (4) 35
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 896
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 136
15.2%
- 134
15.0%
5 117
13.1%
3 109
12.2%
6 89
9.9%
2 82
9.2%
1 58
6.5%
4 51
 
5.7%
7 45
 
5.0%
8 40
 
4.5%
Other values (4) 35
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)78.7%
Missing43
Missing (%)41.3%
Infinite0
Infinite (%)0.0%
Mean703619.66
Minimum700070
Maximum711873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T09:17:02.283679image/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
2024-04-22T09:17:02.433385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
704915 3
 
2.9%
706843 3
 
2.9%
700100 3
 
2.9%
702851 3
 
2.9%
700093 2
 
1.9%
706813 2
 
1.9%
705033 2
 
1.9%
705816 2
 
1.9%
700150 2
 
1.9%
700070 1
 
1.0%
Other values (38) 38
36.5%
(Missing) 43
41.3%
ValueCountFrequency (%)
700070 1
 
1.0%
700093 2
1.9%
700100 3
2.9%
700112 1
 
1.0%
700150 2
1.9%
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
2.9%
706836 1
 
1.0%
706813 2
1.9%
706200 1
 
1.0%
706130 1
 
1.0%
705832 1
 
1.0%
705823 1
 
1.0%

소재지전체주소
Text

Distinct97
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size964.0 B
2024-04-22T09:17:02.786082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length22.298077
Min length17

Characters and Unicode

Total characters2319
Distinct characters116
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

Unique90 ?
Unique (%)86.5%

Sample

1st row대구광역시 중구 종로2가 52번지 지하1층
2nd row대구광역시 중구 서문로1가 71-1번지
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 104
22.9%
중구 31
 
6.8%
남구 26
 
5.7%
대명동 24
 
5.3%
수성구 14
 
3.1%
지하1층 12
 
2.6%
달서구 12
 
2.6%
북구 9
 
2.0%
남산동 6
 
1.3%
동구 6
 
1.3%
Other values (166) 210
46.3%
2024-04-22T09:17:03.320569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
453
19.5%
구 209
 
9.0%
대 138
 
6.0%
1 132
 
5.7%
광 105
 
4.5%
역 105
 
4.5%
시 105
 
4.5%
동 105
 
4.5%
2 82
 
3.5%
지 79
 
3.4%
Other values (106) 806
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1316
56.7%
Decimal Number 466
 
20.1%
Space Separator 453
 
19.5%
Dash Punctuation 76
 
3.3%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 209
15.9%
대 138
 
10.5%
광 105
 
8.0%
역 105
 
8.0%
시 105
 
8.0%
동 105
 
8.0%
지 79
 
6.0%
번 60
 
4.6%
남 33
 
2.5%
중 31
 
2.4%
Other values (92) 346
26.3%
Decimal Number
ValueCountFrequency (%)
1 132
28.3%
2 82
17.6%
3 51
 
10.9%
5 38
 
8.2%
6 38
 
8.2%
0 35
 
7.5%
4 31
 
6.7%
8 27
 
5.8%
7 19
 
4.1%
9 13
 
2.8%
Space Separator
ValueCountFrequency (%)
453
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1316
56.7%
Common 1003
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 209
15.9%
대 138
 
10.5%
광 105
 
8.0%
역 105
 
8.0%
시 105
 
8.0%
동 105
 
8.0%
지 79
 
6.0%
번 60
 
4.6%
남 33
 
2.5%
중 31
 
2.4%
Other values (92) 346
26.3%
Common
ValueCountFrequency (%)
453
45.2%
1 132
 
13.2%
2 82
 
8.2%
- 76
 
7.6%
3 51
 
5.1%
5 38
 
3.8%
6 38
 
3.8%
0 35
 
3.5%
4 31
 
3.1%
8 27
 
2.7%
Other values (4) 40
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1316
56.7%
ASCII 1003
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
453
45.2%
1 132
 
13.2%
2 82
 
8.2%
- 76
 
7.6%
3 51
 
5.1%
5 38
 
3.8%
6 38
 
3.8%
0 35
 
3.5%
4 31
 
3.1%
8 27
 
2.7%
Other values (4) 40
 
4.0%
Hangul
ValueCountFrequency (%)
구 209
15.9%
대 138
 
10.5%
광 105
 
8.0%
역 105
 
8.0%
시 105
 
8.0%
동 105
 
8.0%
지 79
 
6.0%
번 60
 
4.6%
남 33
 
2.5%
중 31
 
2.4%
Other values (92) 346
26.3%

도로명전체주소
Text

MISSING 

Distinct96
Distinct (%)95.0%
Missing3
Missing (%)2.9%
Memory size964.0 B
2024-04-22T09:17:03.707162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length26.653465
Min length20

Characters and Unicode

Total characters2692
Distinct characters171
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

Unique91 ?
Unique (%)90.1%

Sample

1st row대구광역시 중구 종로 30 (종로2가)
2nd row대구광역시 중구 경상감영길 32 (서문로1가)
3rd row대구광역시 중구 국채보상로 611 (문화동, 대구시티센터)
4th row대구광역시 중구 동성로3길 83 (공평동)
5th row대구광역시 중구 관덕정길 10 (남산동)
ValueCountFrequency (%)
대구광역시 102
 
18.4%
중구 29
 
5.2%
남구 26
 
4.7%
대명동 24
 
4.3%
수성구 13
 
2.3%
달서구 12
 
2.2%
북구 9
 
1.6%
지하1층 8
 
1.4%
명덕로 7
 
1.3%
남산동 6
 
1.1%
Other values (219) 318
57.4%
2024-04-22T09:17:04.244519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
456
 
16.9%
구 217
 
8.1%
대 151
 
5.6%
동 122
 
4.5%
역 104
 
3.9%
시 104
 
3.9%
광 102
 
3.8%
( 98
 
3.6%
) 98
 
3.6%
1 94
 
3.5%
Other values (161) 1146
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1622
60.3%
Space Separator 456
 
16.9%
Decimal Number 361
 
13.4%
Open Punctuation 98
 
3.6%
Close Punctuation 98
 
3.6%
Other Punctuation 41
 
1.5%
Dash Punctuation 14
 
0.5%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 217
 
13.4%
대 151
 
9.3%
동 122
 
7.5%
역 104
 
6.4%
시 104
 
6.4%
광 102
 
6.3%
로 89
 
5.5%
길 41
 
2.5%
명 40
 
2.5%
중 37
 
2.3%
Other values (145) 615
37.9%
Decimal Number
ValueCountFrequency (%)
1 94
26.0%
2 58
16.1%
3 37
 
10.2%
4 37
 
10.2%
0 29
 
8.0%
6 24
 
6.6%
9 21
 
5.8%
5 21
 
5.8%
7 20
 
5.5%
8 20
 
5.5%
Space Separator
ValueCountFrequency (%)
456
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Other Punctuation
ValueCountFrequency (%)
, 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1622
60.3%
Common 1068
39.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 217
 
13.4%
대 151
 
9.3%
동 122
 
7.5%
역 104
 
6.4%
시 104
 
6.4%
광 102
 
6.3%
로 89
 
5.5%
길 41
 
2.5%
명 40
 
2.5%
중 37
 
2.3%
Other values (145) 615
37.9%
Common
ValueCountFrequency (%)
456
42.7%
( 98
 
9.2%
) 98
 
9.2%
1 94
 
8.8%
2 58
 
5.4%
, 41
 
3.8%
3 37
 
3.5%
4 37
 
3.5%
0 29
 
2.7%
6 24
 
2.2%
Other values (5) 96
 
9.0%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1622
60.3%
ASCII 1070
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
456
42.6%
( 98
 
9.2%
) 98
 
9.2%
1 94
 
8.8%
2 58
 
5.4%
, 41
 
3.8%
3 37
 
3.5%
4 37
 
3.5%
0 29
 
2.7%
6 24
 
2.2%
Other values (6) 98
 
9.2%
Hangul
ValueCountFrequency (%)
구 217
 
13.4%
대 151
 
9.3%
동 122
 
7.5%
역 104
 
6.4%
시 104
 
6.4%
광 102
 
6.3%
로 89
 
5.5%
길 41
 
2.5%
명 40
 
2.5%
중 37
 
2.3%
Other values (145) 615
37.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)81.1%
Missing9
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean417871.52
Minimum41089
Maximum711812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T09:17:04.395135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41089
5-th percentile41550.3
Q142402
median700150
Q3703946.5
95-th percentile705915.1
Maximum711812
Range670723
Interquartile range (IQR)661544.5

Descriptive statistics

Standard deviation329152.16
Coefficient of variation (CV)0.78768748
Kurtosis-1.962874
Mean417871.52
Median Absolute Deviation (MAD)5672
Skewness-0.28062624
Sum39697794
Variance1.0834114 × 1011
MonotonicityNot monotonic
2024-04-22T09:17:04.534425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42402 7
 
6.7%
702851 3
 
2.9%
700100 3
 
2.9%
700093 2
 
1.9%
704915 2
 
1.9%
705816 2
 
1.9%
42250 2
 
1.9%
705033 2
 
1.9%
41966 2
 
1.9%
700832 2
 
1.9%
Other values (67) 68
65.4%
(Missing) 9
 
8.7%
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
1.9%
705802 1
1.0%

사업장명
Text

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size964.0 B
2024-04-22T09:17:04.810997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length14
Mean length8.25
Min length2

Characters and Unicode

Total characters858
Distinct characters210
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)95.2%

Sample

1st row떼아뜨로 중구
2nd row근대로아리소극장
3rd row오월의정원 아트홀
4th row아트플러스씨어터1관
5th row뉴컴퍼니소극장
ValueCountFrequency (%)
아트홀 9
 
5.3%
소극장 5
 
3.0%
더제이댄스센터 3
 
1.8%
야외공연장 3
 
1.8%
대구문화예술회관 3
 
1.8%
예술극장 2
 
1.2%
동아아트홀 2
 
1.2%
대덕문화전당 2
 
1.2%
극장 2
 
1.2%
대구광역시 2
 
1.2%
Other values (128) 136
80.5%
2024-04-22T09:17:05.217984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
 
7.9%
아 47
 
5.5%
트 38
 
4.4%
홀 37
 
4.3%
장 29
 
3.4%
대 23
 
2.7%
극 21
 
2.4%
화 20
 
2.3%
구 20
 
2.3%
문 20
 
2.3%
Other values (200) 535
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 749
87.3%
Space Separator 68
 
7.9%
Uppercase Letter 11
 
1.3%
Lowercase Letter 11
 
1.3%
Open Punctuation 5
 
0.6%
Close Punctuation 5
 
0.6%
Decimal Number 5
 
0.6%
Other Punctuation 3
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 47
 
6.3%
트 38
 
5.1%
홀 37
 
4.9%
장 29
 
3.9%
대 23
 
3.1%
극 21
 
2.8%
화 20
 
2.7%
구 20
 
2.7%
문 20
 
2.7%
터 18
 
2.4%
Other values (176) 476
63.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
18.2%
t 2
18.2%
o 1
9.1%
i 1
9.1%
d 1
9.1%
u 1
9.1%
c 1
9.1%
a 1
9.1%
p 1
9.1%
Uppercase Letter
ValueCountFrequency (%)
S 3
27.3%
R 2
18.2%
T 2
18.2%
C 1
 
9.1%
A 1
 
9.1%
D 1
 
9.1%
G 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
1 2
40.0%
5 1
20.0%
Space Separator
ValueCountFrequency (%)
68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 749
87.3%
Common 87
 
10.1%
Latin 22
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 47
 
6.3%
트 38
 
5.1%
홀 37
 
4.9%
장 29
 
3.9%
대 23
 
3.1%
극 21
 
2.8%
화 20
 
2.7%
구 20
 
2.7%
문 20
 
2.7%
터 18
 
2.4%
Other values (176) 476
63.6%
Latin
ValueCountFrequency (%)
S 3
13.6%
e 2
 
9.1%
R 2
 
9.1%
t 2
 
9.1%
T 2
 
9.1%
o 1
 
4.5%
i 1
 
4.5%
d 1
 
4.5%
u 1
 
4.5%
c 1
 
4.5%
Other values (6) 6
27.3%
Common
ValueCountFrequency (%)
68
78.2%
( 5
 
5.7%
) 5
 
5.7%
. 3
 
3.4%
2 2
 
2.3%
1 2
 
2.3%
- 1
 
1.1%
5 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 749
87.3%
ASCII 109
 
12.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
62.4%
( 5
 
4.6%
) 5
 
4.6%
S 3
 
2.8%
. 3
 
2.8%
2 2
 
1.8%
e 2
 
1.8%
R 2
 
1.8%
t 2
 
1.8%
T 2
 
1.8%
Other values (14) 15
 
13.8%
Hangul
ValueCountFrequency (%)
아 47
 
6.3%
트 38
 
5.1%
홀 37
 
4.9%
장 29
 
3.9%
대 23
 
3.1%
극 21
 
2.8%
화 20
 
2.7%
구 20
 
2.7%
문 20
 
2.7%
터 18
 
2.4%
Other values (176) 476
63.6%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0184581 × 1013
Minimum2.0040813 × 1013
Maximum2.0220428 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T09:17:05.353087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040813 × 1013
5-th percentile2.0120181 × 1013
Q12.0170194 × 1013
median2.0200454 × 1013
Q32.0210305 × 1013
95-th percentile2.0220223 × 1013
Maximum2.0220428 × 1013
Range1.7961503 × 1011
Interquartile range (IQR)4.0110714 × 1010

Descriptive statistics

Standard deviation3.4229233 × 1010
Coefficient of variation (CV)0.0016958109
Kurtosis4.0104817
Mean2.0184581 × 1013
Median Absolute Deviation (MAD)1.9235029 × 1010
Skewness-1.7444617
Sum2.0991964 × 1015
Variance1.1716404 × 1021
MonotonicityNot monotonic
2024-04-22T09:17:05.496049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190624160011 1
 
1.0%
20170217175534 1
 
1.0%
20201231095228 1
 
1.0%
20040813130315 1
 
1.0%
20051129103957 1
 
1.0%
20111030130016 1
 
1.0%
20201022172018 1
 
1.0%
20211201154110 1
 
1.0%
20170713170606 1
 
1.0%
20190111141041 1
 
1.0%
Other values (94) 94
90.4%
ValueCountFrequency (%)
20040813130315 1
1.0%
20051129103957 1
1.0%
20100920092904 1
1.0%
20111030130016 1
1.0%
20111230125024 1
1.0%
20120103142353 1
1.0%
20120621095720 1
1.0%
20130604094927 1
1.0%
20140320131735 1
1.0%
20140416112442 1
1.0%
ValueCountFrequency (%)
20220428162758 1
1.0%
20220316104310 1
1.0%
20220315161651 1
1.0%
20220314140155 1
1.0%
20220308091948 1
1.0%
20220224115510 1
1.0%
20220214094406 1
1.0%
20220106164512 1
1.0%
20220106164129 1
1.0%
20220106162804 1
1.0%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
U
52 
I
52 

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 52
50.0%
I 52
50.0%

Length

2024-04-22T09:17:05.627338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:06.009585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 52
50.0%
i 52
50.0%

데이터갱신일자
Date

Distinct56
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Memory size964.0 B
Minimum2018-08-31 23:59:59
Maximum2022-04-30 02:40:00
2024-04-22T09:17:06.127714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:17:06.268112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

좌표정보(X)
Real number (ℝ)

Distinct91
Distinct (%)88.3%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean343655.51
Minimum331198.89
Maximum356310.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T09:17:06.403724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331198.89
5-th percentile338088.34
Q1342657.09
median343510.57
Q3344779.63
95-th percentile350576.27
Maximum356310.92
Range25112.03
Interquartile range (IQR)2122.5383

Descriptive statistics

Standard deviation3759.9358
Coefficient of variation (CV)0.010941003
Kurtosis3.1331208
Mean343655.51
Median Absolute Deviation (MAD)965.05525
Skewness0.20620402
Sum35396518
Variance14137118
MonotonicityNot monotonic
2024-04-22T09:17:06.546216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340795.977161 3
 
2.9%
337497.848974 2
 
1.9%
344137.093577 2
 
1.9%
343977.875349 2
 
1.9%
343490.54587 2
 
1.9%
344090.309398 2
 
1.9%
338088.341393 2
 
1.9%
345032.238221 2
 
1.9%
350740.903555 2
 
1.9%
343510.573192 2
 
1.9%
Other values (81) 82
78.8%
ValueCountFrequency (%)
331198.88813 1
1.0%
331919.96911 1
1.0%
335535.627309 1
1.0%
337497.848974 2
1.9%
338088.341393 2
1.9%
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
1.9%
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)

Distinct91
Distinct (%)88.3%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean263139
Minimum245347.08
Maximum271756.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T09:17:06.689031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum245347.08
5-th percentile259330.23
Q1262353.17
median263001.97
Q3264393.36
95-th percentile266694.72
Maximum271756.5
Range26409.42
Interquartile range (IQR)2040.1937

Descriptive statistics

Standard deviation3014.6086
Coefficient of variation (CV)0.011456335
Kurtosis12.227809
Mean263139
Median Absolute Deviation (MAD)1293.3246
Skewness-1.5584332
Sum27103317
Variance9087865.2
MonotonicityNot monotonic
2024-04-22T09:17:06.839474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261627.701492 3
 
2.9%
261409.692978 2
 
1.9%
263748.241448 2
 
1.9%
264225.65908 2
 
1.9%
264007.292153 2
 
1.9%
265177.636851 2
 
1.9%
262510.618835 2
 
1.9%
262949.871621 2
 
1.9%
259979.518261 2
 
1.9%
266134.259921 2
 
1.9%
Other values (81) 82
78.8%
ValueCountFrequency (%)
245347.079141 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
1.9%
260067.030472 2
1.9%
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
1.9%
266015.581633 1
1.0%
265637.282898 1
1.0%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size964.0 B
공연장
104 

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 104
100.0%

Length

2024-04-22T09:17:06.963470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:07.048350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 104
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size964.0 B
공연장
104 

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 104
100.0%

Length

2024-04-22T09:17:07.140615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:07.232295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 104
100.0%

지역구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size964.0 B
<NA>
76 
자연녹지지역
8 
일반주거지역
 
7
중심상업지역
 
5
일반상업지역
 
3
Other values (4)
 
5

Length

Max length6
Median length4
Mean length4.5
Min length4

Unique

Unique3 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 76
73.1%
자연녹지지역 8
 
7.7%
일반주거지역 7
 
6.7%
중심상업지역 5
 
4.8%
일반상업지역 3
 
2.9%
근린상업지역 2
 
1.9%
녹지지역 1
 
1.0%
전용주거지역 1
 
1.0%
주거지역 1
 
1.0%

Length

2024-04-22T09:17:07.351095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:07.471445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
73.1%
자연녹지지역 8
 
7.7%
일반주거지역 7
 
6.7%
중심상업지역 5
 
4.8%
일반상업지역 3
 
2.9%
근린상업지역 2
 
1.9%
녹지지역 1
 
1.0%
전용주거지역 1
 
1.0%
주거지역 1
 
1.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)25.6%
Missing65
Missing (%)62.5%
Infinite0
Infinite (%)0.0%
Mean4.025641
Minimum0
Maximum13
Zeros6
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T09:17:07.585570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q35
95-th percentile9.2
Maximum13
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.7861233
Coefficient of variation (CV)0.69209433
Kurtosis2.4792773
Mean4.025641
Median Absolute Deviation (MAD)1
Skewness1.0033596
Sum157
Variance7.7624831
MonotonicityNot monotonic
2024-04-22T09:17:07.698418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 11
 
10.6%
3 8
 
7.7%
0 6
 
5.8%
4 6
 
5.8%
6 3
 
2.9%
9 1
 
1.0%
2 1
 
1.0%
1 1
 
1.0%
13 1
 
1.0%
11 1
 
1.0%
(Missing) 65
62.5%
ValueCountFrequency (%)
0 6
5.8%
1 1
 
1.0%
2 1
 
1.0%
3 8
7.7%
4 6
5.8%
5 11
10.6%
6 3
 
2.9%
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
 
2.9%
5 11
10.6%
4 6
5.8%
3 8
7.7%
2 1
 
1.0%
1 1
 
1.0%
0 6
5.8%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size964.0 B
<NA>
83 
기타
15 
아파트지역
 
4
주택가주변
 
2

Length

Max length5
Median length4
Mean length3.7692308
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> 83
79.8%
기타 15
 
14.4%
아파트지역 4
 
3.8%
주택가주변 2
 
1.9%

Length

2024-04-22T09:17:07.841673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:07.986744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
79.8%
기타 15
 
14.4%
아파트지역 4
 
3.8%
주택가주변 2
 
1.9%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

건물용도명
Categorical

Distinct5
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size964.0 B
<NA>
62 
근린생활시설
22 
문화시설
18 
단독주택
 
1
교육연구시설
 
1

Length

Max length6
Median length4
Mean length4.4423077
Min length4

Unique

Unique2 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 62
59.6%
근린생활시설 22
 
21.2%
문화시설 18
 
17.3%
단독주택 1
 
1.0%
교육연구시설 1
 
1.0%

Length

2024-04-22T09:17:08.124299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:08.244445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
59.6%
근린생활시설 22
 
21.2%
문화시설 18
 
17.3%
단독주택 1
 
1.0%
교육연구시설 1
 
1.0%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)24.4%
Missing63
Missing (%)60.6%
Infinite0
Infinite (%)0.0%
Mean3.5853659
Minimum0
Maximum12
Zeros5
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T09:17:08.409209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile8
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.7200699
Coefficient of variation (CV)0.75865896
Kurtosis2.1601125
Mean3.5853659
Median Absolute Deviation (MAD)1
Skewness1.324285
Sum147
Variance7.3987805
MonotonicityNot monotonic
2024-04-22T09:17:08.531037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 11
 
10.6%
2 8
 
7.7%
4 7
 
6.7%
0 5
 
4.8%
8 3
 
2.9%
5 2
 
1.9%
6 2
 
1.9%
11 1
 
1.0%
12 1
 
1.0%
1 1
 
1.0%
(Missing) 63
60.6%
ValueCountFrequency (%)
0 5
4.8%
1 1
 
1.0%
2 8
7.7%
3 11
10.6%
4 7
6.7%
5 2
 
1.9%
6 2
 
1.9%
8 3
 
2.9%
11 1
 
1.0%
12 1
 
1.0%
ValueCountFrequency (%)
12 1
 
1.0%
11 1
 
1.0%
8 3
 
2.9%
6 2
 
1.9%
5 2
 
1.9%
4 7
6.7%
3 11
10.6%
2 8
7.7%
1 1
 
1.0%
0 5
4.8%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)12.0%
Missing54
Missing (%)51.9%
Infinite0
Infinite (%)0.0%
Mean1.26
Minimum0
Maximum5
Zeros8
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-22T09:17:08.660067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile3.55
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0843977
Coefficient of variation (CV)0.86063309
Kurtosis4.8068495
Mean1.26
Median Absolute Deviation (MAD)0
Skewness1.9534915
Sum63
Variance1.1759184
MonotonicityNot monotonic
2024-04-22T09:17:08.792625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 30
28.8%
0 8
 
7.7%
2 8
 
7.7%
5 2
 
1.9%
4 1
 
1.0%
3 1
 
1.0%
(Missing) 54
51.9%
ValueCountFrequency (%)
0 8
 
7.7%
1 30
28.8%
2 8
 
7.7%
3 1
 
1.0%
4 1
 
1.0%
5 2
 
1.9%
ValueCountFrequency (%)
5 2
 
1.9%
4 1
 
1.0%
3 1
 
1.0%
2 8
 
7.7%
1 30
28.8%
0 8
 
7.7%

객실수
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
<NA>
92 
0
12 

Length

Max length4
Median length4
Mean length3.6538462
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
88.5%
0 12
 
11.5%

Length

2024-04-22T09:17:08.928963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:09.051514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
88.5%
0 12
 
11.5%

건축연면적
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
<NA>
92 
0
12 

Length

Max length4
Median length4
Mean length3.6538462
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
88.5%
0 12
 
11.5%

Length

2024-04-22T09:17:09.163259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:09.290105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
88.5%
0 12
 
11.5%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

선박총톤수
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
<NA>
92 
0
12 

Length

Max length4
Median length4
Mean length3.6538462
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
88.5%
0 12
 
11.5%

Length

2024-04-22T09:17:09.439885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:09.573350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
88.5%
0 12
 
11.5%

선박척수
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
<NA>
92 
0
12 

Length

Max length4
Median length4
Mean length3.6538462
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
88.5%
0 12
 
11.5%

Length

2024-04-22T09:17:09.703384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:09.809103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
88.5%
0 12
 
11.5%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

무대면적
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
<NA>
92 
0
12 

Length

Max length4
Median length4
Mean length3.6538462
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
88.5%
0 12
 
11.5%

Length

2024-04-22T09:17:09.916702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:10.044121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
88.5%
0 12
 
11.5%

좌석수
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
<NA>
92 
0
12 

Length

Max length4
Median length4
Mean length3.6538462
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
88.5%
0 12
 
11.5%

Length

2024-04-22T09:17:10.157436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:10.254982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
88.5%
0 12
 
11.5%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
<NA>
92 
0
12 

Length

Max length4
Median length4
Mean length3.6538462
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
88.5%
0 12
 
11.5%

Length

2024-04-22T09:17:10.365233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:10.475408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
88.5%
0 12
 
11.5%

시설면적
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
<NA>
92 
0
12 

Length

Max length4
Median length4
Mean length3.6538462
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
88.5%
0 12
 
11.5%

Length

2024-04-22T09:17:10.597008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:10.711814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
88.5%
0 12
 
11.5%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

놀이시설수
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
<NA>
92 
0
12 

Length

Max length4
Median length4
Mean length3.6538462
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
88.5%
0 12
 
11.5%

Length

2024-04-22T09:17:10.831482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:10.944711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
88.5%
0 12
 
11.5%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

자본금
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
<NA>
92 
0
12 

Length

Max length4
Median length4
Mean length3.6538462
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
88.5%
0 12
 
11.5%

Length

2024-04-22T09:17:11.058980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:11.156866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
88.5%
0 12
 
11.5%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing104
Missing (%)100.0%
Memory size1.0 KiB

시설규모
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size964.0 B
<NA>
92 
0
12 

Length

Max length4
Median length4
Mean length3.6538462
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
88.5%
0 12
 
11.5%

Length

2024-04-22T09:17:11.270684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:17:11.380123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
88.5%
0 12
 
11.5%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(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_P3410000CDFE123000201000000120100406<NA>3폐업3폐업20150630<NA><NA><NA>664-7000<NA>700160대구광역시 중구 문화동 11-1번지 대구시티센터대구광역시 중구 국채보상로 611 (문화동, 대구시티센터)700733오월의정원 아트홀20161208164026I2018-08-31 23:59:59.0<NA>344223.636477264597.611089공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34공연장03_06_01_P3410000CDFE123000201100000120111207<NA>3폐업3폐업20190926<NA><NA><NA>053-422-7679<NA>700150대구광역시 중구 공평동 16-11번지 지하 1층대구광역시 중구 동성로3길 83 (공평동)700150아트플러스씨어터1관20190926180636U2019-09-28 02:40:00.0<NA>344253.070839264389.450842공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45공연장03_06_01_P3410000CDFE123000201200000220120816<NA>3폐업3폐업20161129<NA><NA><NA>290-9507<NA>700832대구광역시 중구 남산동 942-1번지 정안빌딩 502호대구광역시 중구 관덕정길 10 (남산동)700832뉴컴퍼니소극장20161130175211I2018-08-31 23:59:59.0<NA>343608.127531263961.949303공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56공연장03_06_01_P3410000CDFE123000201800000120180521<NA>3폐업3폐업20200713<NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 466대구광역시 중구 달구벌대로414길 6, 4층 (남산동)41966지니프로덕션20200716114201U2020-07-18 02:40:00.0<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_P3410000CDFE123000201800000220180521<NA>3폐업3폐업20200709<NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 466대구광역시 중구 달구벌대로414길 6, 3층 (남산동)41966더제이댄스센터20200709114908U2020-07-11 02:40:00.0<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_P3410000CDFE123000200400000120040720<NA>3폐업3폐업20140416<NA><NA><NA>426-4903<NA>700100대구광역시 중구 화전동 11-1번지 지하1층대구광역시 중구 교동길 15, 지하1층 (화전동)700100스페이스콩코드20140416112442I2018-08-31 23:59:59.0<NA>344090.309398265177.636851공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89공연장03_06_01_P3410000CDFE123000201500000320150721<NA>3폐업3폐업20161230<NA><NA><NA><NA><NA>700835대구광역시 중구 남산동 582-7번지대구광역시 중구 명륜로12길 21 (남산동)700835대안문화공간아트센터 고리20161230173217I2018-08-31 23:59:59.0<NA>343463.57706263629.400975공연장공연장<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910공연장03_06_01_P3410000CDFE123000199300000119930910<NA>1영업/정상13영업중<NA><NA><NA><NA>420-8089<NA>700811대구광역시 중구 대봉동 214번지대구광역시 중구 명덕로 333 (대봉동)700811프라임홀20161123092143I2018-08-31 23:59:59.0<NA>345032.238221262949.871621공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
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9596공연장03_06_01_P3470000CDFE123000200200000420021122<NA>1영업/정상13영업중<NA><NA><NA><NA>053-606-6450<NA>704910대구광역시 달서구 두류동 588대구광역시 달서구 공원순환로 46 (두류동, 코오롱야외음악당)704910코오롱 야외음악당20210526164506U2021-05-28 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>
9697공연장03_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>
9798공연장03_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>
9899공연장03_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 대공연장20220106161939U2022-01-08 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>
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100101공연장03_06_01_P3470000CDFE123000201800000120181207<NA>1영업/정상13영업중<NA><NA><NA><NA>053-231-1300<NA><NA>대구광역시 달서구 용산동 230-6 대구학생문화센터대구광역시 달서구 용산로 181, 대구학생문화센터 (용산동)42635대구학생문화센터 소극장20220106162804U2022-01-08 02:40:00.0<NA>338088.341393262510.618835공연장공연장<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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102103공연장03_06_01_P3480000CDFE123000201200000120120120<NA>1영업/정상13영업중<NA><NA><NA><NA>053-715-1202<NA>711812대구광역시 달성군 다사읍 매곡리 1515-3대구광역시 달성군 다사읍 대실역북로2길 188711812백년홀(달성문화센터)20210323141247U2021-03-25 02:40:00.0<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>
103104공연장03_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>