Overview

Dataset statistics

Number of variables63
Number of observations62
Missing cells1344
Missing cells (%)34.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.4 KiB
Average record size in memory552.1 B

Variable types

Numeric11
Categorical28
Unsupported18
Text5
DateTime1

Dataset

Description6270000_대구광역시_03_11_04_P_외국인관광도시민박업_10월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000091675&dataSetDetailId=DDI_0000091716&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 is highly imbalanced (88.1%)Imbalance
휴업시작일자 is highly imbalanced (77.9%)Imbalance
휴업종료일자 is highly imbalanced (79.6%)Imbalance
지하층수 is highly imbalanced (65.5%)Imbalance
건축연면적 is highly imbalanced (77.1%)Imbalance
선박총톤수 is highly imbalanced (88.1%)Imbalance
선박척수 is highly imbalanced (88.1%)Imbalance
무대면적 is highly imbalanced (88.1%)Imbalance
좌석수 is highly imbalanced (88.1%)Imbalance
회의실별동시수용인원 is highly imbalanced (88.1%)Imbalance
놀이시설수 is highly imbalanced (88.1%)Imbalance
자본금 is highly imbalanced (82.2%)Imbalance
폐업일자 has 31 (50.0%) missing valuesMissing
재개업일자 has 62 (100.0%) missing valuesMissing
소재지전화 has 57 (91.9%) missing valuesMissing
소재지면적 has 62 (100.0%) missing valuesMissing
소재지우편번호 has 49 (79.0%) missing valuesMissing
도로명우편번호 has 25 (40.3%) missing valuesMissing
업태구분명 has 62 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.6%) missing valuesMissing
좌표정보(Y) has 1 (1.6%) missing valuesMissing
문화사업자구분명 has 62 (100.0%) missing valuesMissing
제작취급품목내용 has 62 (100.0%) missing valuesMissing
보험기관명 has 62 (100.0%) missing valuesMissing
영문상호명 has 42 (67.7%) missing valuesMissing
선박제원 has 62 (100.0%) missing valuesMissing
기념품종류 has 62 (100.0%) missing valuesMissing
시설면적 has 11 (17.7%) missing valuesMissing
놀이기구수내역 has 62 (100.0%) missing valuesMissing
방송시설유무 has 62 (100.0%) missing valuesMissing
발전시설유무 has 62 (100.0%) missing valuesMissing
의무실유무 has 62 (100.0%) missing valuesMissing
안내소유무 has 62 (100.0%) missing valuesMissing
기획여행보험시작일자 has 62 (100.0%) missing valuesMissing
기획여행보험종료일자 has 62 (100.0%) missing valuesMissing
보험시작일자 has 62 (100.0%) missing valuesMissing
보험종료일자 has 62 (100.0%) missing valuesMissing
부대시설내역 has 62 (100.0%) missing valuesMissing
시설규모 has 11 (17.7%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
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

Reproduction

Analysis started2023-12-10 19:50:34.647610
Analysis finished2023-12-10 19:50:35.528673
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.5
Minimum1
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T04:50:35.914777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.05
Q116.25
median31.5
Q346.75
95-th percentile58.95
Maximum62
Range61
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation18.041619
Coefficient of variation (CV)0.5727498
Kurtosis-1.2
Mean31.5
Median Absolute Deviation (MAD)15.5
Skewness0
Sum1953
Variance325.5
MonotonicityStrictly increasing
2023-12-11T04:50:36.112461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
48 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
Other values (52) 52
83.9%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%
53 1
1.6%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
외국인관광도시민박업
62 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
외국인관광도시민박업 62
100.0%

Length

2023-12-11T04:50:36.337867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:36.482572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인관광도시민박업 62
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
03_11_04_P
62 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_11_04_P
2nd row03_11_04_P
3rd row03_11_04_P
4th row03_11_04_P
5th row03_11_04_P

Common Values

ValueCountFrequency (%)
03_11_04_P 62
100.0%

Length

2023-12-11T04:50:36.646289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:36.799632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_11_04_p 62
100.0%

개방자치단체코드
Real number (ℝ)

Distinct7
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3428225.8
Minimum3410000
Maximum3470000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T04:50:36.927381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3420000
Q33440000
95-th percentile3460000
Maximum3470000
Range60000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation20042.921
Coefficient of variation (CV)0.0058464412
Kurtosis-0.97704305
Mean3428225.8
Median Absolute Deviation (MAD)10000
Skewness0.6433242
Sum2.1255 × 108
Variance4.0171867 × 108
MonotonicityIncreasing
2023-12-11T04:50:37.083072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3410000 27
43.5%
3440000 13
21.0%
3420000 8
 
12.9%
3460000 6
 
9.7%
3450000 4
 
6.5%
3470000 3
 
4.8%
3430000 1
 
1.6%
ValueCountFrequency (%)
3410000 27
43.5%
3420000 8
 
12.9%
3430000 1
 
1.6%
3440000 13
21.0%
3450000 4
 
6.5%
3460000 6
 
9.7%
3470000 3
 
4.8%
ValueCountFrequency (%)
3470000 3
 
4.8%
3460000 6
 
9.7%
3450000 4
 
6.5%
3440000 13
21.0%
3430000 1
 
1.6%
3420000 8
 
12.9%
3410000 27
43.5%

관리번호
Categorical

Distinct29
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Memory size628.0 B
CDFI2262212018000001
 
4
CDFI2262212018000002
 
4
CDFI2262212017000001
 
4
CDFI2262212015000001
 
4
CDFI2262212019000001
 
4
Other values (24)
42 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique12 ?
Unique (%)19.4%

Sample

1st rowCDFI2262212019000003
2nd rowCDFI2262212016000002
3rd rowCDFI2262212012000002
4th rowCDFI2262212012000003
5th rowCDFI2262212013000001

Common Values

ValueCountFrequency (%)
CDFI2262212018000001 4
 
6.5%
CDFI2262212018000002 4
 
6.5%
CDFI2262212017000001 4
 
6.5%
CDFI2262212015000001 4
 
6.5%
CDFI2262212019000001 4
 
6.5%
CDFI2262212019000002 4
 
6.5%
CDFI2262212018000003 3
 
4.8%
CDFI2262212017000002 3
 
4.8%
CDFI2262212015000002 3
 
4.8%
CDFI2262212016000001 3
 
4.8%
Other values (19) 26
41.9%

Length

2023-12-11T04:50:37.257415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cdfi2262212018000001 4
 
6.5%
cdfi2262212017000001 4
 
6.5%
cdfi2262212015000001 4
 
6.5%
cdfi2262212019000001 4
 
6.5%
cdfi2262212019000002 4
 
6.5%
cdfi2262212018000002 4
 
6.5%
cdfi2262212018000003 3
 
4.8%
cdfi2262212017000002 3
 
4.8%
cdfi2262212015000002 3
 
4.8%
cdfi2262212016000001 3
 
4.8%
Other values (19) 26
41.9%

인허가일자
Real number (ℝ)

Distinct60
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20167724
Minimum20120518
Maximum20210325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T04:50:37.476400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120518
5-th percentile20130722
Q120150578
median20170366
Q320187827
95-th percentile20200415
Maximum20210325
Range89807
Interquartile range (IQR)37248.75

Descriptive statistics

Standard deviation22321.85
Coefficient of variation (CV)0.0011068106
Kurtosis-0.74648727
Mean20167724
Median Absolute Deviation (MAD)19801
Skewness-0.23221407
Sum1.2503989 × 109
Variance4.98265 × 108
MonotonicityNot monotonic
2023-12-11T04:50:37.687707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150410 2
 
3.2%
20171108 2
 
3.2%
20191113 1
 
1.6%
20150326 1
 
1.6%
20200904 1
 
1.6%
20151007 1
 
1.6%
20190919 1
 
1.6%
20190130 1
 
1.6%
20190225 1
 
1.6%
20170227 1
 
1.6%
Other values (50) 50
80.6%
ValueCountFrequency (%)
20120518 1
1.6%
20120626 1
1.6%
20130418 1
1.6%
20130716 1
1.6%
20130829 1
1.6%
20131018 1
1.6%
20140106 1
1.6%
20140804 1
1.6%
20140925 1
1.6%
20141103 1
1.6%
ValueCountFrequency (%)
20210325 1
1.6%
20210115 1
1.6%
20200915 1
1.6%
20200904 1
1.6%
20191126 1
1.6%
20191125 1
1.6%
20191113 1
1.6%
20191015 1
1.6%
20190919 1
1.6%
20190712 1
1.6%

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
61 
20191101
 
1

Length

Max length8
Median length4
Mean length4.0645161
Min length4

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 61
98.4%
20191101 1
 
1.6%

Length

2023-12-11T04:50:37.919882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:38.089326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
98.4%
20191101 1
 
1.6%

영업상태구분코드
Categorical

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
3
31 
1
26 
2
4 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row2
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 31
50.0%
1 26
41.9%
2 4
 
6.5%
4 1
 
1.6%

Length

2023-12-11T04:50:38.265334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:38.408391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 31
50.0%
1 26
41.9%
2 4
 
6.5%
4 1
 
1.6%

영업상태명
Categorical

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
폐업
31 
영업/정상
26 
휴업
4 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.4516129
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
50.0%
영업/정상 26
41.9%
휴업 4
 
6.5%
취소/말소/만료/정지/중지 1
 
1.6%

Length

2023-12-11T04:50:38.556251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:38.680095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
50.0%
영업/정상 26
41.9%
휴업 4
 
6.5%
취소/말소/만료/정지/중지 1
 
1.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
3
31 
13
26 
2
4 
31
 
1

Length

Max length2
Median length1
Mean length1.4354839
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row2
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 31
50.0%
13 26
41.9%
2 4
 
6.5%
31 1
 
1.6%

Length

2023-12-11T04:50:38.824818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:38.987824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 31
50.0%
13 26
41.9%
2 4
 
6.5%
31 1
 
1.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
폐업
31 
영업중
26 
휴업
4 
등록취소
 
1

Length

Max length4
Median length2
Mean length2.4516129
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
50.0%
영업중 26
41.9%
휴업 4
 
6.5%
등록취소 1
 
1.6%

Length

2023-12-11T04:50:39.150635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:39.284943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
50.0%
영업중 26
41.9%
휴업 4
 
6.5%
등록취소 1
 
1.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)96.8%
Missing31
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean20186993
Minimum20140106
Maximum20210825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T04:50:39.410751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20140106
5-th percentile20140816
Q120180326
median20190129
Q320200458
95-th percentile20210454
Maximum20210825
Range70719
Interquartile range (IQR)20132

Descriptive statistics

Standard deviation19040.756
Coefficient of variation (CV)0.00094321904
Kurtosis1.4890909
Mean20186993
Median Absolute Deviation (MAD)9999
Skewness-1.2414515
Sum6.2579679 × 108
Variance3.625504 × 108
MonotonicityNot monotonic
2023-12-11T04:50:39.609982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20190129 2
 
3.2%
20200219 1
 
1.6%
20200903 1
 
1.6%
20200401 1
 
1.6%
20191108 1
 
1.6%
20181029 1
 
1.6%
20170626 1
 
1.6%
20200128 1
 
1.6%
20201224 1
 
1.6%
20180309 1
 
1.6%
Other values (20) 20
32.3%
(Missing) 31
50.0%
ValueCountFrequency (%)
20140106 1
1.6%
20140707 1
1.6%
20140925 1
1.6%
20170626 1
1.6%
20170914 1
1.6%
20180309 1
1.6%
20180316 1
1.6%
20180321 1
1.6%
20180330 1
1.6%
20180702 1
1.6%
ValueCountFrequency (%)
20210825 1
1.6%
20210501 1
1.6%
20210408 1
1.6%
20210219 1
1.6%
20201224 1
1.6%
20200903 1
1.6%
20200806 1
1.6%
20200514 1
1.6%
20200401 1
1.6%
20200219 1
1.6%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
58 
20200806
 
2
20210827
 
1
20170331
 
1

Length

Max length8
Median length4
Mean length4.2580645
Min length4

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row20210827
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 58
93.5%
20200806 2
 
3.2%
20210827 1
 
1.6%
20170331 1
 
1.6%

Length

2023-12-11T04:50:39.834033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:39.994596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
93.5%
20200806 2
 
3.2%
20210827 1
 
1.6%
20170331 1
 
1.6%

휴업종료일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
58 
20211231
 
1
20180331
 
1
20210806
 
1
20210206
 
1

Length

Max length8
Median length4
Mean length4.2580645
Min length4

Unique

Unique4 ?
Unique (%)6.5%

Sample

1st row20211231
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 58
93.5%
20211231 1
 
1.6%
20180331 1
 
1.6%
20210806 1
 
1.6%
20210206 1
 
1.6%

Length

2023-12-11T04:50:40.153510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:40.278812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
93.5%
20211231 1
 
1.6%
20180331 1
 
1.6%
20210806 1
 
1.6%
20210206 1
 
1.6%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

소재지전화
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing57
Missing (%)91.9%
Memory size628.0 B
2023-12-11T04:50:40.462066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length10

Characters and Unicode

Total characters60
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

Unique5 ?
Unique (%)100.0%

Sample

1st row070-7504-4115
2nd row053-422-6199
3rd row070-4623-7718
4th row0532556541
5th row053-756-4368
ValueCountFrequency (%)
070-7504-4115 1
20.0%
053-422-6199 1
20.0%
070-4623-7718 1
20.0%
0532556541 1
20.0%
053-756-4368 1
20.0%
2023-12-11T04:50:40.835962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 9
15.0%
0 8
13.3%
- 8
13.3%
7 6
10.0%
4 6
10.0%
1 5
8.3%
3 5
8.3%
6 5
8.3%
2 4
6.7%
9 2
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 52
86.7%
Dash Punctuation 8
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 9
17.3%
0 8
15.4%
7 6
11.5%
4 6
11.5%
1 5
9.6%
3 5
9.6%
6 5
9.6%
2 4
7.7%
9 2
 
3.8%
8 2
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 9
15.0%
0 8
13.3%
- 8
13.3%
7 6
10.0%
4 6
10.0%
1 5
8.3%
3 5
8.3%
6 5
8.3%
2 4
6.7%
9 2
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 9
15.0%
0 8
13.3%
- 8
13.3%
7 6
10.0%
4 6
10.0%
1 5
8.3%
3 5
8.3%
6 5
8.3%
2 4
6.7%
9 2
 
3.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing49
Missing (%)79.0%
Infinite0
Infinite (%)0.0%
Mean701072.31
Minimum700160
Maximum705822
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T04:50:41.019059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700160
5-th percentile700226
Q1700310
median700810
Q3700823
95-th percentile703422.6
Maximum705822
Range5662
Interquartile range (IQR)513

Descriptive statistics

Standard deviation1490.3904
Coefficient of variation (CV)0.0021258725
Kurtosis10.36109
Mean701072.31
Median Absolute Deviation (MAD)379
Skewness3.122503
Sum9113940
Variance2221263.4
MonotonicityNot monotonic
2023-12-11T04:50:41.195315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
700270 2
 
3.2%
700160 1
 
1.6%
700817 1
 
1.6%
700812 1
 
1.6%
700431 1
 
1.6%
700823 1
 
1.6%
700810 1
 
1.6%
700755 1
 
1.6%
700837 1
 
1.6%
700310 1
 
1.6%
Other values (2) 2
 
3.2%
(Missing) 49
79.0%
ValueCountFrequency (%)
700160 1
1.6%
700270 2
3.2%
700310 1
1.6%
700431 1
1.6%
700755 1
1.6%
700810 1
1.6%
700812 1
1.6%
700817 1
1.6%
700823 1
1.6%
700837 1
1.6%
ValueCountFrequency (%)
705822 1
1.6%
701823 1
1.6%
700837 1
1.6%
700823 1
1.6%
700817 1
1.6%
700812 1
1.6%
700810 1
1.6%
700755 1
1.6%
700431 1
1.6%
700310 1
1.6%

소재지전체주소
Text

Distinct60
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-11T04:50:41.698595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length22.16129
Min length14

Characters and Unicode

Total characters1374
Distinct characters91
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)93.5%

Sample

1st row대구광역시 중구 북내동 12
2nd row대구광역시 중구 남성로 146
3rd row대구광역시 중구 종로2가
4th row대구광역시 중구 문화동 6-13번지 6층
5th row대구광역시 중구 대신동 296-14번지
ValueCountFrequency (%)
대구광역시 62
23.6%
중구 27
 
10.3%
남구 13
 
4.9%
대명동 11
 
4.2%
동구 8
 
3.0%
수성구 6
 
2.3%
대봉동 6
 
2.3%
북구 4
 
1.5%
남산동 4
 
1.5%
북내동 3
 
1.1%
Other values (106) 119
45.2%
2023-12-11T04:50:42.292706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
258
18.8%
구 124
 
9.0%
대 81
 
5.9%
동 75
 
5.5%
역 63
 
4.6%
시 63
 
4.6%
광 62
 
4.5%
1 54
 
3.9%
- 51
 
3.7%
지 44
 
3.2%
Other values (81) 499
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 769
56.0%
Decimal Number 296
 
21.5%
Space Separator 258
 
18.8%
Dash Punctuation 51
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 124
16.1%
대 81
10.5%
동 75
9.8%
역 63
 
8.2%
시 63
 
8.2%
광 62
 
8.1%
지 44
 
5.7%
번 43
 
5.6%
중 28
 
3.6%
남 18
 
2.3%
Other values (69) 168
21.8%
Decimal Number
ValueCountFrequency (%)
1 54
18.2%
3 38
12.8%
2 38
12.8%
4 34
11.5%
6 33
11.1%
5 30
10.1%
0 28
9.5%
7 16
 
5.4%
8 15
 
5.1%
9 10
 
3.4%
Space Separator
ValueCountFrequency (%)
258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 769
56.0%
Common 605
44.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 124
16.1%
대 81
10.5%
동 75
9.8%
역 63
 
8.2%
시 63
 
8.2%
광 62
 
8.1%
지 44
 
5.7%
번 43
 
5.6%
중 28
 
3.6%
남 18
 
2.3%
Other values (69) 168
21.8%
Common
ValueCountFrequency (%)
258
42.6%
1 54
 
8.9%
- 51
 
8.4%
3 38
 
6.3%
2 38
 
6.3%
4 34
 
5.6%
6 33
 
5.5%
5 30
 
5.0%
0 28
 
4.6%
7 16
 
2.6%
Other values (2) 25
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 769
56.0%
ASCII 605
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
258
42.6%
1 54
 
8.9%
- 51
 
8.4%
3 38
 
6.3%
2 38
 
6.3%
4 34
 
5.6%
6 33
 
5.5%
5 30
 
5.0%
0 28
 
4.6%
7 16
 
2.6%
Other values (2) 25
 
4.1%
Hangul
ValueCountFrequency (%)
구 124
16.1%
대 81
10.5%
동 75
9.8%
역 63
 
8.2%
시 63
 
8.2%
광 62
 
8.1%
지 44
 
5.7%
번 43
 
5.6%
중 28
 
3.6%
남 18
 
2.3%
Other values (69) 168
21.8%

도로명전체주소
Text

Distinct61
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-11T04:50:42.741591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length45
Mean length29.870968
Min length20

Characters and Unicode

Total characters1852
Distinct characters141
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

Unique60 ?
Unique (%)96.8%

Sample

1st row대구광역시 중구 서성로14길 51-10 (북내동)
2nd row대구광역시 중구 남성로 4 (남성로)
3rd row대구광역시 중구 진골목길 12 (종로2가)
4th row대구광역시 중구 국채보상로123길 23, 6층 (문화동)
5th row대구광역시 중구 큰장로22길 44-6 (대신동)
ValueCountFrequency (%)
대구광역시 62
 
17.5%
중구 27
 
7.6%
남구 13
 
3.7%
대명동 11
 
3.1%
동구 8
 
2.3%
수성구 6
 
1.7%
대봉동 6
 
1.7%
남산동 4
 
1.1%
북구 4
 
1.1%
3층 4
 
1.1%
Other values (170) 209
59.0%
2023-12-11T04:50:43.390844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
292
 
15.8%
구 130
 
7.0%
대 96
 
5.2%
동 87
 
4.7%
1 81
 
4.4%
시 64
 
3.5%
역 63
 
3.4%
( 62
 
3.3%
) 62
 
3.3%
광 62
 
3.3%
Other values (131) 853
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1008
54.4%
Decimal Number 359
 
19.4%
Space Separator 292
 
15.8%
Open Punctuation 62
 
3.3%
Close Punctuation 62
 
3.3%
Dash Punctuation 33
 
1.8%
Other Punctuation 33
 
1.8%
Uppercase Letter 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 130
 
12.9%
대 96
 
9.5%
동 87
 
8.6%
시 64
 
6.3%
역 63
 
6.2%
광 62
 
6.2%
로 56
 
5.6%
길 50
 
5.0%
중 31
 
3.1%
남 22
 
2.2%
Other values (113) 347
34.4%
Decimal Number
ValueCountFrequency (%)
1 81
22.6%
2 56
15.6%
3 51
14.2%
4 39
10.9%
0 38
10.6%
6 31
 
8.6%
5 22
 
6.1%
8 17
 
4.7%
9 14
 
3.9%
7 10
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
N 1
50.0%
Space Separator
ValueCountFrequency (%)
292
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1008
54.4%
Common 842
45.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 130
 
12.9%
대 96
 
9.5%
동 87
 
8.6%
시 64
 
6.3%
역 63
 
6.2%
광 62
 
6.2%
로 56
 
5.6%
길 50
 
5.0%
중 31
 
3.1%
남 22
 
2.2%
Other values (113) 347
34.4%
Common
ValueCountFrequency (%)
292
34.7%
1 81
 
9.6%
( 62
 
7.4%
) 62
 
7.4%
2 56
 
6.7%
3 51
 
6.1%
4 39
 
4.6%
0 38
 
4.5%
- 33
 
3.9%
, 33
 
3.9%
Other values (6) 95
 
11.3%
Latin
ValueCountFrequency (%)
I 1
50.0%
N 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1008
54.4%
ASCII 844
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
292
34.6%
1 81
 
9.6%
( 62
 
7.3%
) 62
 
7.3%
2 56
 
6.6%
3 51
 
6.0%
4 39
 
4.6%
0 38
 
4.5%
- 33
 
3.9%
, 33
 
3.9%
Other values (8) 97
 
11.5%
Hangul
ValueCountFrequency (%)
구 130
 
12.9%
대 96
 
9.5%
동 87
 
8.6%
시 64
 
6.3%
역 63
 
6.2%
광 62
 
6.2%
로 56
 
5.6%
길 50
 
5.0%
중 31
 
3.1%
남 22
 
2.2%
Other values (113) 347
34.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)83.8%
Missing25
Missing (%)40.3%
Infinite0
Infinite (%)0.0%
Mean41978.514
Minimum41001
Maximum42649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T04:50:43.563050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001
5-th percentile41108
Q141591
median41963
Q342425
95-th percentile42528
Maximum42649
Range1648
Interquartile range (IQR)834

Descriptive statistics

Standard deviation496.85308
Coefficient of variation (CV)0.01183589
Kurtosis-0.8122963
Mean41978.514
Median Absolute Deviation (MAD)455
Skewness-0.59953454
Sum1553205
Variance246862.98
MonotonicityNot monotonic
2023-12-11T04:50:43.755140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
41919 3
 
4.8%
42490 2
 
3.2%
42418 2
 
3.2%
42425 2
 
3.2%
41958 2
 
3.2%
42649 1
 
1.6%
42644 1
 
1.6%
42149 1
 
1.6%
42166 1
 
1.6%
42247 1
 
1.6%
Other values (21) 21
33.9%
(Missing) 25
40.3%
ValueCountFrequency (%)
41001 1
1.6%
41092 1
1.6%
41112 1
1.6%
41155 1
1.6%
41217 1
1.6%
41224 1
1.6%
41245 1
1.6%
41536 1
1.6%
41587 1
1.6%
41591 1
1.6%
ValueCountFrequency (%)
42649 1
1.6%
42644 1
1.6%
42499 1
1.6%
42490 2
3.2%
42468 1
1.6%
42453 1
1.6%
42448 1
1.6%
42434 1
1.6%
42425 2
3.2%
42418 2
3.2%

사업장명
Text

Distinct60
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-11T04:50:44.083026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length9.2258065
Min length2

Characters and Unicode

Total characters572
Distinct characters155
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)93.5%

Sample

1st row달구 게스트하우스
2nd row온나 게스트하우스
3rd row다님 하늘배 게스트하우스
4th row대구 피터팬 게스트하우스
5th row소담정
ValueCountFrequency (%)
게스트하우스 16
 
14.5%
house 8
 
7.3%
of 3
 
2.7%
the 2
 
1.8%
gallery 2
 
1.8%
글렌즈 2
 
1.8%
b&b 2
 
1.8%
집 2
 
1.8%
미라벨 1
 
0.9%
상상하우스 1
 
0.9%
Other values (71) 71
64.5%
2023-12-11T04:50:44.663516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 60
 
10.5%
49
 
8.6%
하 36
 
6.3%
우 32
 
5.6%
트 26
 
4.5%
게 25
 
4.4%
e 19
 
3.3%
o 12
 
2.1%
u 11
 
1.9%
s 10
 
1.7%
Other values (145) 292
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 342
59.8%
Lowercase Letter 114
 
19.9%
Space Separator 49
 
8.6%
Uppercase Letter 43
 
7.5%
Close Punctuation 8
 
1.4%
Open Punctuation 8
 
1.4%
Other Punctuation 5
 
0.9%
Modifier Symbol 1
 
0.2%
Decimal Number 1
 
0.2%
Letter Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 60
17.5%
하 36
 
10.5%
우 32
 
9.4%
트 26
 
7.6%
게 25
 
7.3%
라 6
 
1.8%
이 5
 
1.5%
레 3
 
0.9%
가 3
 
0.9%
마 3
 
0.9%
Other values (103) 143
41.8%
Uppercase Letter
ValueCountFrequency (%)
S 5
11.6%
B 5
11.6%
E 4
9.3%
G 4
9.3%
H 4
9.3%
P 3
 
7.0%
T 3
 
7.0%
A 2
 
4.7%
U 2
 
4.7%
L 2
 
4.7%
Other values (9) 9
20.9%
Lowercase Letter
ValueCountFrequency (%)
e 19
16.7%
o 12
10.5%
u 11
9.6%
s 10
8.8%
l 9
7.9%
a 9
7.9%
h 8
7.0%
n 7
 
6.1%
g 6
 
5.3%
i 5
 
4.4%
Other values (6) 18
15.8%
Space Separator
ValueCountFrequency (%)
49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Punctuation
ValueCountFrequency (%)
& 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 341
59.6%
Latin 158
27.6%
Common 72
 
12.6%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 60
17.6%
하 36
 
10.6%
우 32
 
9.4%
트 26
 
7.6%
게 25
 
7.3%
라 6
 
1.8%
이 5
 
1.5%
레 3
 
0.9%
가 3
 
0.9%
마 3
 
0.9%
Other values (102) 142
41.6%
Latin
ValueCountFrequency (%)
e 19
 
12.0%
o 12
 
7.6%
u 11
 
7.0%
s 10
 
6.3%
l 9
 
5.7%
a 9
 
5.7%
h 8
 
5.1%
n 7
 
4.4%
g 6
 
3.8%
S 5
 
3.2%
Other values (26) 62
39.2%
Common
ValueCountFrequency (%)
49
68.1%
) 8
 
11.1%
( 8
 
11.1%
& 5
 
6.9%
` 1
 
1.4%
2 1
 
1.4%
Han
ValueCountFrequency (%)
休 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 341
59.6%
ASCII 229
40.0%
CJK 1
 
0.2%
Number Forms 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 60
17.6%
하 36
 
10.6%
우 32
 
9.4%
트 26
 
7.6%
게 25
 
7.3%
라 6
 
1.8%
이 5
 
1.5%
레 3
 
0.9%
가 3
 
0.9%
마 3
 
0.9%
Other values (102) 142
41.6%
ASCII
ValueCountFrequency (%)
49
21.4%
e 19
 
8.3%
o 12
 
5.2%
u 11
 
4.8%
s 10
 
4.4%
l 9
 
3.9%
a 9
 
3.9%
h 8
 
3.5%
) 8
 
3.5%
( 8
 
3.5%
Other values (31) 86
37.6%
CJK
ValueCountFrequency (%)
休 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0188214 × 1013
Minimum2.0140106 × 1013
Maximum2.0210928 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T04:50:44.855929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0140106 × 1013
5-th percentile2.0151687 × 1013
Q12.0180323 × 1013
median2.0190855 × 1013
Q32.0200356 × 1013
95-th percentile2.0210825 × 1013
Maximum2.0210928 × 1013
Range7.0822028 × 1010
Interquartile range (IQR)2.0032248 × 1010

Descriptive statistics

Standard deviation1.7553193 × 1010
Coefficient of variation (CV)0.00086947725
Kurtosis0.93361694
Mean2.0188214 × 1013
Median Absolute Deviation (MAD)9.951033 × 109
Skewness-1.0367619
Sum1.2516692 × 1015
Variance3.0811457 × 1020
MonotonicityNot monotonic
2023-12-11T04:50:45.078734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210827112230 1
 
1.6%
20210325202735 1
 
1.6%
20210115172256 1
 
1.6%
20210928170422 1
 
1.6%
20171010142411 1
 
1.6%
20210219164400 1
 
1.6%
20200211161200 1
 
1.6%
20200211161218 1
 
1.6%
20180105092351 1
 
1.6%
20200211161040 1
 
1.6%
Other values (52) 52
83.9%
ValueCountFrequency (%)
20140106142041 1
1.6%
20140709152627 1
1.6%
20140925164619 1
1.6%
20151217104715 1
1.6%
20160624094037 1
1.6%
20160817134853 1
1.6%
20170626100157 1
1.6%
20170808140615 1
1.6%
20170811162755 1
1.6%
20170828095354 1
1.6%
ValueCountFrequency (%)
20210928170422 1
1.6%
20210827112230 1
1.6%
20210826155353 1
1.6%
20210825164649 1
1.6%
20210823152300 1
1.6%
20210325202735 1
1.6%
20210219164400 1
1.6%
20210115172256 1
1.6%
20201229105744 1
1.6%
20201012174821 1
1.6%

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
U
38 
I
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 38
61.3%
I 24
38.7%

Length

2023-12-11T04:50:45.304113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:45.454147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 38
61.3%
i 24
38.7%

데이터갱신일자
Date

Distinct36
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Memory size628.0 B
Minimum2018-08-31 23:59:59
Maximum2021-09-30 02:40:00
2023-12-11T04:50:45.606845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:50:45.804816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)95.1%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean344359.65
Minimum339049.96
Maximum354462.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T04:50:46.020176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum339049.96
5-th percentile340848.93
Q1343217.09
median343879.71
Q3345082.42
95-th percentile348546.71
Maximum354462.36
Range15412.398
Interquartile range (IQR)1865.3346

Descriptive statistics

Standard deviation2449.9702
Coefficient of variation (CV)0.0071145681
Kurtosis4.0138629
Mean344359.65
Median Absolute Deviation (MAD)1096.3881
Skewness1.1837643
Sum21005938
Variance6002353.8
MonotonicityNot monotonic
2023-12-11T04:50:46.244187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343842.48902 2
 
3.2%
344976.101155 2
 
3.2%
345082.421389 2
 
3.2%
343511.147258 1
 
1.6%
343680.311178 1
 
1.6%
344027.589811 1
 
1.6%
345053.536451 1
 
1.6%
341995.532871 1
 
1.6%
342911.112066 1
 
1.6%
342243.89942 1
 
1.6%
Other values (48) 48
77.4%
ValueCountFrequency (%)
339049.95989 1
1.6%
339682.549306 1
1.6%
340123.70491 1
1.6%
340848.928959 1
1.6%
341664.152905 1
1.6%
341995.532871 1
1.6%
342243.89942 1
1.6%
342264.559779 1
1.6%
342288.762044 1
1.6%
342551.954206 1
1.6%
ValueCountFrequency (%)
354462.358105 1
1.6%
348766.615251 1
1.6%
348720.213469 1
1.6%
348546.714696 1
1.6%
348401.305235 1
1.6%
347461.950418 1
1.6%
347265.87234 1
1.6%
347150.389907 1
1.6%
347001.833522 1
1.6%
346939.381392 1
1.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)95.1%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean263725.37
Minimum258390.06
Maximum276507.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T04:50:46.853433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum258390.06
5-th percentile260496.18
Q1262429.23
median263593.64
Q3264752.94
95-th percentile266372.89
Maximum276507.53
Range18117.465
Interquartile range (IQR)2323.7081

Descriptive statistics

Standard deviation2461.4638
Coefficient of variation (CV)0.0093334356
Kurtosis11.290343
Mean263725.37
Median Absolute Deviation (MAD)1164.4054
Skewness2.1301295
Sum16087248
Variance6058803.9
MonotonicityNot monotonic
2023-12-11T04:50:47.064919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262291.01251 2
 
3.2%
263491.050061 2
 
3.2%
263767.98034 2
 
3.2%
264802.594686 1
 
1.6%
265487.37503 1
 
1.6%
261039.870033 1
 
1.6%
262713.424359 1
 
1.6%
261545.353531 1
 
1.6%
260701.95565 1
 
1.6%
260531.029145 1
 
1.6%
Other values (48) 48
77.4%
ValueCountFrequency (%)
258390.063114 1
1.6%
260159.228592 1
1.6%
260217.87376 1
1.6%
260496.175693 1
1.6%
260531.029145 1
1.6%
260701.95565 1
1.6%
261039.870033 1
1.6%
261364.414024 1
1.6%
261447.156212 1
1.6%
261545.353531 1
1.6%
ValueCountFrequency (%)
276507.527883 1
1.6%
267457.503823 1
1.6%
266506.075194 1
1.6%
266372.885505 1
1.6%
266304.550057 1
1.6%
266235.742624 1
1.6%
266167.784875 1
1.6%
266142.945913 1
1.6%
265487.37503 1
1.6%
265286.464691 1
1.6%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
외국인관광 도시민박업
62 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row외국인관광 도시민박업
2nd row외국인관광 도시민박업
3rd row외국인관광 도시민박업
4th row외국인관광 도시민박업
5th row외국인관광 도시민박업

Common Values

ValueCountFrequency (%)
외국인관광 도시민박업 62
100.0%

Length

2023-12-11T04:50:47.362463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:47.594578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인관광 62
50.0%
도시민박업 62
50.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

지역구분명
Categorical

Distinct9
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
26 
일반주거지역
15 
주거지역
6 
중심상업지역
4 
일반상업지역
4 
Other values (4)
7 

Length

Max length6
Median length4
Mean length4.9032258
Min length4

Unique

Unique3 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
41.9%
일반주거지역 15
24.2%
주거지역 6
 
9.7%
중심상업지역 4
 
6.5%
일반상업지역 4
 
6.5%
준주거지역 4
 
6.5%
근린상업지역 1
 
1.6%
자연녹지지역 1
 
1.6%
전용주거지역 1
 
1.6%

Length

2023-12-11T04:50:47.857094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:48.063413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
41.9%
일반주거지역 15
24.2%
주거지역 6
 
9.7%
중심상업지역 4
 
6.5%
일반상업지역 4
 
6.5%
준주거지역 4
 
6.5%
근린상업지역 1
 
1.6%
자연녹지지역 1
 
1.6%
전용주거지역 1
 
1.6%

총층수
Categorical

Distinct6
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
32 
1
12 
3
9 
2
5 
4
 
3

Length

Max length4
Median length4
Mean length2.5645161
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row3
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 32
51.6%
1 12
 
19.4%
3 9
 
14.5%
2 5
 
8.1%
4 3
 
4.8%
40 1
 
1.6%

Length

2023-12-11T04:50:48.303010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:48.473318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
51.6%
1 12
 
19.4%
3 9
 
14.5%
2 5
 
8.1%
4 3
 
4.8%
40 1
 
1.6%

주변환경명
Categorical

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
49 
주택가주변
6 
학교정화(상대)
5 
아파트지역
 
2

Length

Max length8
Median length4
Mean length4.4516129
Min length4

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> 49
79.0%
주택가주변 6
 
9.7%
학교정화(상대) 5
 
8.1%
아파트지역 2
 
3.2%

Length

2023-12-11T04:50:48.660861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:48.839902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
79.0%
주택가주변 6
 
9.7%
학교정화(상대 5
 
8.1%
아파트지역 2
 
3.2%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

건물용도명
Categorical

Distinct8
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size628.0 B
단독주택
28 
<NA>
16 
다가구용 주택(공동주택적용)
8 
아파트
5 
다세대주택
 
2
Other values (3)
3 

Length

Max length15
Median length4
Mean length5.3870968
Min length3

Unique

Unique3 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
단독주택 28
45.2%
<NA> 16
25.8%
다가구용 주택(공동주택적용) 8
 
12.9%
아파트 5
 
8.1%
다세대주택 2
 
3.2%
연립주택 1
 
1.6%
사무실 1
 
1.6%
근린생활시설 1
 
1.6%

Length

2023-12-11T04:50:48.997944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:49.169613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독주택 28
40.0%
na 16
22.9%
다가구용 8
 
11.4%
주택(공동주택적용 8
 
11.4%
아파트 5
 
7.1%
다세대주택 2
 
2.9%
연립주택 1
 
1.4%
사무실 1
 
1.4%
근린생활시설 1
 
1.4%

지상층수
Categorical

Distinct6
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
39 
2
10 
3
5 
1
4 
4
 
3

Length

Max length4
Median length4
Mean length2.8870968
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
62.9%
2 10
 
16.1%
3 5
 
8.1%
1 4
 
6.5%
4 3
 
4.8%
9 1
 
1.6%

Length

2023-12-11T04:50:49.385795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:49.555676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
62.9%
2 10
 
16.1%
3 5
 
8.1%
1 4
 
6.5%
4 3
 
4.8%
9 1
 
1.6%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
58 
1
 
4

Length

Max length4
Median length4
Mean length3.8064516
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> 58
93.5%
1 4
 
6.5%

Length

2023-12-11T04:50:49.740163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:49.895328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
93.5%
1 4
 
6.5%

객실수
Categorical

Distinct6
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
37 
2
11 
1
8 
3
4 
0
 
1

Length

Max length4
Median length4
Mean length2.7903226
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
59.7%
2 11
 
17.7%
1 8
 
12.9%
3 4
 
6.5%
0 1
 
1.6%
5 1
 
1.6%

Length

2023-12-11T04:50:50.057730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:50.232060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
59.7%
2 11
 
17.7%
1 8
 
12.9%
3 4
 
6.5%
0 1
 
1.6%
5 1
 
1.6%

건축연면적
Categorical

IMBALANCE 

Distinct6
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
57 
54
 
1
0
 
1
270
 
1
53
 
1

Length

Max length4
Median length4
Mean length3.8548387
Min length1

Unique

Unique5 ?
Unique (%)8.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
91.9%
54 1
 
1.6%
0 1
 
1.6%
270 1
 
1.6%
53 1
 
1.6%
154 1
 
1.6%

Length

2023-12-11T04:50:50.383827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:50.528384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
91.9%
54 1
 
1.6%
0 1
 
1.6%
270 1
 
1.6%
53 1
 
1.6%
154 1
 
1.6%

영문상호명
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing42
Missing (%)67.7%
Memory size628.0 B
2023-12-11T04:50:50.743529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length13.15
Min length2

Characters and Unicode

Total characters263
Distinct characters41
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st rowDALGU GUEST HOUSE
2nd rowDanim Skyboat Guesthouse
3rd rowglenn's guesthouse
4th rowSEINE GUESTHOUSE
5th rowBOONIENE
ValueCountFrequency (%)
house 7
 
16.7%
guesthouse 4
 
9.5%
guest 3
 
7.1%
fine 1
 
2.4%
family 1
 
2.4%
休u 1
 
2.4%
of 1
 
2.4%
gallery2 1
 
2.4%
vesta 1
 
2.4%
guma 1
 
2.4%
Other values (21) 21
50.0%
2023-12-11T04:50:51.115252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
8.4%
e 18
 
6.8%
E 16
 
6.1%
u 16
 
6.1%
s 16
 
6.1%
o 14
 
5.3%
S 14
 
5.3%
U 11
 
4.2%
O 10
 
3.8%
N 9
 
3.4%
Other values (31) 117
44.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 129
49.0%
Uppercase Letter 107
40.7%
Space Separator 22
 
8.4%
Other Punctuation 3
 
1.1%
Decimal Number 1
 
0.4%
Other Letter 1
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 18
14.0%
u 16
12.4%
s 16
12.4%
o 14
10.9%
h 8
 
6.2%
a 7
 
5.4%
t 7
 
5.4%
i 6
 
4.7%
g 6
 
4.7%
l 5
 
3.9%
Other values (10) 26
20.2%
Uppercase Letter
ValueCountFrequency (%)
E 16
15.0%
S 14
13.1%
U 11
10.3%
O 10
9.3%
N 9
8.4%
G 9
8.4%
A 8
7.5%
H 8
7.5%
D 5
 
4.7%
T 4
 
3.7%
Other values (7) 13
12.1%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
' 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Other Letter
ValueCountFrequency (%)
休 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 236
89.7%
Common 26
 
9.9%
Han 1
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 18
 
7.6%
E 16
 
6.8%
u 16
 
6.8%
s 16
 
6.8%
o 14
 
5.9%
S 14
 
5.9%
U 11
 
4.7%
O 10
 
4.2%
N 9
 
3.8%
G 9
 
3.8%
Other values (27) 103
43.6%
Common
ValueCountFrequency (%)
22
84.6%
' 3
 
11.5%
2 1
 
3.8%
Han
ValueCountFrequency (%)
休 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 262
99.6%
CJK 1
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
 
8.4%
e 18
 
6.9%
E 16
 
6.1%
u 16
 
6.1%
s 16
 
6.1%
o 14
 
5.3%
S 14
 
5.3%
U 11
 
4.2%
O 10
 
3.8%
N 9
 
3.4%
Other values (30) 116
44.3%
CJK
ValueCountFrequency (%)
休 1
100.0%

영문상호주소
Categorical

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
43 
Homestay Business
9 
Foreign tourist city private rental room service
9 
foreigner city guest house
 
1

Length

Max length48
Median length4
Mean length12.629032
Min length4

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st rowHomestay Business
2nd row<NA>
3rd rowForeign tourist city private rental room service
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 43
69.4%
Homestay Business 9
 
14.5%
Foreign tourist city private rental room service 9
 
14.5%
foreigner city guest house 1
 
1.6%

Length

2023-12-11T04:50:51.326738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:51.440588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
33.6%
city 10
 
7.8%
homestay 9
 
7.0%
business 9
 
7.0%
foreign 9
 
7.0%
tourist 9
 
7.0%
private 9
 
7.0%
rental 9
 
7.0%
room 9
 
7.0%
service 9
 
7.0%
Other values (3) 3
 
2.3%

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
61 
0
 
1

Length

Max length4
Median length4
Mean length3.9516129
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 61
98.4%
0 1
 
1.6%

Length

2023-12-11T04:50:51.591577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:51.720064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
98.4%
0 1
 
1.6%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
61 
0
 
1

Length

Max length4
Median length4
Mean length3.9516129
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 61
98.4%
0 1
 
1.6%

Length

2023-12-11T04:50:51.854438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:51.999668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
98.4%
0 1
 
1.6%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
61 
0
 
1

Length

Max length4
Median length4
Mean length3.9516129
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 61
98.4%
0 1
 
1.6%

Length

2023-12-11T04:50:52.130569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:52.240439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
98.4%
0 1
 
1.6%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
61 
0
 
1

Length

Max length4
Median length4
Mean length3.9516129
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 61
98.4%
0 1
 
1.6%

Length

2023-12-11T04:50:52.385630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:52.533406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
98.4%
0 1
 
1.6%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
61 
0
 
1

Length

Max length4
Median length4
Mean length3.9516129
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 61
98.4%
0 1
 
1.6%

Length

2023-12-11T04:50:52.643837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:52.762836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
98.4%
0 1
 
1.6%

시설면적
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)96.1%
Missing11
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean101.32353
Minimum16
Maximum215.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T04:50:52.909068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile28.585
Q156.05
median94.47
Q3138
95-th percentile193.22
Maximum215.21
Range199.21
Interquartile range (IQR)81.95

Descriptive statistics

Standard deviation54.598483
Coefficient of variation (CV)0.53885295
Kurtosis-0.8399274
Mean101.32353
Median Absolute Deviation (MAD)38.47
Skewness0.47706679
Sum5167.5
Variance2980.9943
MonotonicityNot monotonic
2023-12-11T04:50:53.068769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
57.5 2
 
3.2%
114.48 2
 
3.2%
56.0 1
 
1.6%
121.64 1
 
1.6%
52.23 1
 
1.6%
94.47 1
 
1.6%
96.53 1
 
1.6%
125.0 1
 
1.6%
101.28 1
 
1.6%
204.99 1
 
1.6%
Other values (39) 39
62.9%
(Missing) 11
 
17.7%
ValueCountFrequency (%)
16.0 1
1.6%
20.8 1
1.6%
26.0 1
1.6%
31.17 1
1.6%
38.0 1
1.6%
39.37 1
1.6%
46.96 1
1.6%
49.82 1
1.6%
52.18 1
1.6%
52.23 1
1.6%
ValueCountFrequency (%)
215.21 1
1.6%
204.99 1
1.6%
195.44 1
1.6%
191.0 1
1.6%
188.31 1
1.6%
187.6 1
1.6%
186.68 1
1.6%
180.77 1
1.6%
161.11 1
1.6%
159.3 1
1.6%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
61 
0
 
1

Length

Max length4
Median length4
Mean length3.9516129
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 61
98.4%
0 1
 
1.6%

Length

2023-12-11T04:50:53.243784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:53.377936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
98.4%
0 1
 
1.6%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

자본금
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
59 
430000000
 
1
0
 
1
70000000
 
1

Length

Max length9
Median length4
Mean length4.0967742
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
95.2%
430000000 1
 
1.6%
0 1
 
1.6%
70000000 1
 
1.6%

Length

2023-12-11T04:50:53.499415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:50:53.630595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
95.2%
430000000 1
 
1.6%
0 1
 
1.6%
70000000 1
 
1.6%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)84.3%
Missing11
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean101.31373
Minimum16
Maximum215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T04:50:53.746368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile28.5
Q156
median94
Q3138
95-th percentile193
Maximum215
Range199
Interquartile range (IQR)82

Descriptive statistics

Standard deviation54.566836
Coefficient of variation (CV)0.53859273
Kurtosis-0.83859179
Mean101.31373
Median Absolute Deviation (MAD)38
Skewness0.47708789
Sum5167
Variance2977.5396
MonotonicityNot monotonic
2023-12-11T04:50:53.940342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
114 3
 
4.8%
52 2
 
3.2%
58 2
 
3.2%
188 2
 
3.2%
111 2
 
3.2%
94 2
 
3.2%
56 2
 
3.2%
158 1
 
1.6%
122 1
 
1.6%
97 1
 
1.6%
Other values (33) 33
53.2%
(Missing) 11
 
17.7%
ValueCountFrequency (%)
16 1
1.6%
21 1
1.6%
26 1
1.6%
31 1
1.6%
38 1
1.6%
39 1
1.6%
47 1
1.6%
50 1
1.6%
52 2
3.2%
53 1
1.6%
ValueCountFrequency (%)
215 1
1.6%
205 1
1.6%
195 1
1.6%
191 1
1.6%
188 2
3.2%
187 1
1.6%
181 1
1.6%
161 1
1.6%
159 1
1.6%
158 1
1.6%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01외국인관광도시민박업03_11_04_P3410000CDFI226221201900000320191113<NA>2휴업2휴업<NA>2021082720211231<NA><NA><NA><NA>대구광역시 중구 북내동 12대구광역시 중구 서성로14길 51-10 (북내동)41919달구 게스트하우스20210827112230U2021-08-29 02:40:00.0<NA>343511.147258264802.594686외국인관광 도시민박업<NA><NA>3<NA><NA><NA>단독주택<NA><NA><NA><NA>DALGU GUEST HOUSEHomestay Business<NA><NA><NA><NA><NA><NA><NA>46.96<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>47
12외국인관광도시민박업03_11_04_P3410000CDFI226221201600000220160609<NA>3폐업3폐업20210825<NA><NA><NA><NA><NA><NA>대구광역시 중구 남성로 146대구광역시 중구 남성로 4 (남성로)<NA>온나 게스트하우스20210825164649U2021-08-27 02:40:00.0<NA>343307.030512264370.9561외국인관광 도시민박업<NA>중심상업지역<NA><NA><NA><NA>단독주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>195.44<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>195
23외국인관광도시민박업03_11_04_P3410000CDFI226221201200000220120518<NA>3폐업3폐업20180321<NA><NA><NA>070-7504-4115<NA><NA>대구광역시 중구 종로2가대구광역시 중구 진골목길 12 (종로2가)<NA>다님 하늘배 게스트하우스20180321091525I2018-08-31 23:59:59.0<NA>343760.707933264255.434251외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Danim Skyboat GuesthouseForeign tourist city private rental room service<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34외국인관광도시민박업03_11_04_P3410000CDFI226221201200000320120626<NA>3폐업3폐업20140707<NA><NA><NA><NA><NA>700160대구광역시 중구 문화동 6-13번지 6층대구광역시 중구 국채보상로123길 23, 6층 (문화동)<NA>대구 피터팬 게스트하우스20140709152627I2018-08-31 23:59:59.0<NA>344180.369227264675.493921외국인관광 도시민박업<NA>일반상업지역<NA><NA><NA><NA>단독주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>52.18<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>52
45외국인관광도시민박업03_11_04_P3410000CDFI226221201300000120130418<NA>3폐업3폐업20140106<NA><NA><NA><NA><NA>700817대구광역시 중구 대신동 296-14번지대구광역시 중구 큰장로22길 44-6 (대신동)<NA>소담정20140106142041I2018-08-31 23:59:59.0<NA>342551.954206264046.204241외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56외국인관광도시민박업03_11_04_P3410000CDFI226221201300000220130716<NA>3폐업3폐업20190114<NA><NA><NA><NA><NA>700270대구광역시 중구 서내동 68-1번지대구광역시 중구 경상감영길 43-11 (서내동)<NA>더판게스트하우스20190114091054U2019-01-16 02:40:00.0<NA>343468.93625264672.77905외국인관광 도시민박업<NA>중심상업지역1<NA><NA><NA>단독주택1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>63.54<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>64
67외국인관광도시민박업03_11_04_P3410000CDFI226221201300000320130829<NA>3폐업3폐업20140925<NA><NA><NA>053-422-6199<NA>700812대구광역시 중구 대봉동 174-9번지대구광역시 중구 명덕로 283-15 (대봉동)<NA>게스트하우스 마마20140925164619I2018-08-31 23:59:59.0<NA>344550.120884262916.714148외국인관광 도시민박업<NA>근린상업지역1<NA><NA><NA>단독주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>114.38<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>114
78외국인관광도시민박업03_11_04_P3410000CDFI226221201400000220140925<NA>3폐업3폐업20180330<NA><NA><NA><NA><NA>700431대구광역시 중구 대봉동 7-46번지대구광역시 중구 동덕로14길 35 (대봉동)<NA>파리앤스테이(Paris&Stay)20180330092356I2018-08-31 23:59:59.0<NA>344976.101155263491.050061외국인관광 도시민박업<NA>주거지역2주택가주변<NA><NA>단독주택2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>31.17<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>31
89외국인관광도시민박업03_11_04_P3410000CDFI226221201400000320141103<NA>3폐업3폐업20210408<NA><NA><NA><NA><NA>700823대구광역시 중구 봉산동 168-107대구광역시 중구 봉산문화1길 16-12 (봉산동)<NA>봉산 게스트하우스(B&S guest house)20210823152300U2021-08-25 02:40:00.0<NA>344307.815642263636.213877외국인관광 도시민박업<NA>주거지역2주택가주변<NA><NA>단독주택2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>186.68<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>187
910외국인관광도시민박업03_11_04_P3410000CDFI226221201500000120150410<NA>3폐업3폐업20190510<NA><NA><NA><NA><NA>700810대구광역시 중구 대봉동 55-50번지대구광역시 중구 명륜로 164 (대봉동)<NA>하니 게스트하우스20190510173709U2019-05-12 02:40:00.0<NA>344625.726336263421.522163외국인관광 도시민박업<NA>중심상업지역1학교정화(상대)<NA><NA>연립주택1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>26.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>26
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
5253외국인관광도시민박업03_11_04_P3450000CDFI226221201800000220180828<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 산격동 1245-1번지대구광역시 북구 대학로9길 68-2 (산격동)41536패밀리민박20200103133919U2020-01-05 02:40:00.0<NA>344961.098103267457.503823외국인관광 도시민박업<NA><NA>3<NA><NA><NA>단독주택21<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>187.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>188
5354외국인관광도시민박업03_11_04_P3460000CDFI226221201400000120140804<NA>3폐업3폐업20190129<NA><NA><NA><NA><NA><NA>대구광역시 수성구 범어동 195-8번지대구광역시 수성구 달구벌대로488안길 32 (범어동)42085Meeting & healing(만남과 힐링)20191224101034U2019-12-26 02:40:00.0<NA>346939.381392263138.474216외국인관광 도시민박업<NA><NA><NA><NA><NA><NA>단독주택4<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>161.11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>161
5455외국인관광도시민박업03_11_04_P3460000CDFI226221201500000220150730<NA>3폐업3폐업20200128<NA><NA><NA><NA><NA><NA>대구광역시 수성구 만촌동 657-6번지대구광역시 수성구 국채보상로209길 48-2 (만촌동)42045스마일 게스트 하우스20200203173315U2020-02-05 02:40:00.0<NA>348401.305235264513.015082외국인관광 도시민박업<NA><NA>3<NA><NA><NA><NA>213<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>188.31<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>188
5556외국인관광도시민박업03_11_04_P3460000CDFI226221201500000320151013<NA>3폐업3폐업20170626<NA><NA><NA>053-756-4368<NA><NA>대구광역시 수성구 만촌동 640-21번지대구광역시 수성구 무열로39길 36-1 (만촌동)<NA>만촌하우스20170626100157I2018-08-31 23:59:59.0<NA>348546.714696264899.23092외국인관광 도시민박업<NA><NA><NA><NA><NA><NA>단독주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>110.94<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>111
5657외국인관광도시민박업03_11_04_P3460000CDFI226221201700000120170201<NA>3폐업3폐업20190129<NA><NA><NA><NA><NA><NA>대구광역시 수성구 범물동 630번지대구광역시 수성구 지범로54길 15, 103동 1001호 (범물동, 현대청림아파트)42247게스트하우스 수성20190129162241U2019-01-31 02:40:00.0<NA>348720.213469258390.063114외국인관광 도시민박업<NA>주거지역<NA><NA><NA><NA>아파트<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>151.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>151
5758외국인관광도시민박업03_11_04_P3460000CDFI226221201700000220170425<NA>3폐업3폐업20181029<NA><NA><NA><NA><NA><NA>대구광역시 수성구 상동 555번지대구광역시 수성구 수성로 71, 106동 1402호 (상동, 수성동일하이빌레이크시티아파트)42166사라의 집20181029135507U2018-10-31 02:36:21.0<NA>345362.987975260217.87376외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5859외국인관광도시민박업03_11_04_P3460000CDFI226221201500000120150528<NA>3폐업3폐업20191108<NA><NA><NA><NA><NA><NA>대구광역시 수성구 황금동 860번지 904호대구광역시 수성구 동대구로25길 24-11 (황금동, 황금동해피하우스2IN1)42149해피하우스(HAPPY HOUSE)20191224101059U2019-12-26 02:40:00.0<NA>346501.616179261364.414024외국인관광 도시민박업<NA><NA><NA><NA><NA><NA>아파트9<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>49.82<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50
5960외국인관광도시민박업03_11_04_P3470000CDFI226221201900000120190319<NA>3폐업3폐업20200401<NA><NA><NA><NA><NA><NA>대구광역시 달서구 감삼동 113-25번지대구광역시 달서구 감삼북길 29-30 (감삼동)42644세하빌리지20200401085707U2020-04-03 02:40:00.0<NA>339682.549306262435.484082외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6061외국인관광도시민박업03_11_04_P3470000CDFI226221201900000220190712<NA>3폐업3폐업20200903<NA><NA><NA><NA><NA><NA>대구광역시 달서구 두류동 635-10대구광역시 달서구 야외음악당로39안길 60 (두류동)42649레인비앤비(Lane B&B)20200908151530U2020-09-10 02:40:00.0<NA>340123.70491262429.2314외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6162외국인관광도시민박업03_11_04_P3470000CDFI226221201600000120160607<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 죽전동 220-39번지대구광역시 달서구 죽전길 31-10 (죽전동)<NA>다온하우스20160817134853I2018-08-31 23:59:59.0<NA>339049.95989262552.907573외국인관광 도시민박업<NA>전용주거지역3<NA><NA><NA>단독주택3<NA>5154<NA><NA><NA><NA><NA><NA><NA><NA><NA>154.17<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>154