Overview

Dataset statistics

Number of variables63
Number of observations57
Missing cells1581
Missing cells (%)44.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.7 KiB
Average record size in memory552.3 B

Variable types

Numeric11
Categorical23
Unsupported24
Text5

Dataset

Description6270000_대구광역시_03_11_04_P_외국인관광도시민박업_8월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000085945&dataSetDetailId=DDI_0000085986&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
인허가취소일자 is highly imbalanced (87.3%)Imbalance
휴업시작일자 is highly imbalanced (78.2%)Imbalance
휴업종료일자 is highly imbalanced (81.0%)Imbalance
지하층수 is highly imbalanced (70.3%)Imbalance
건축연면적 is highly imbalanced (78.2%)Imbalance
자본금 is highly imbalanced (87.3%)Imbalance
폐업일자 has 32 (56.1%) missing valuesMissing
재개업일자 has 57 (100.0%) missing valuesMissing
소재지전화 has 52 (91.2%) missing valuesMissing
소재지면적 has 57 (100.0%) missing valuesMissing
소재지우편번호 has 44 (77.2%) missing valuesMissing
도로명우편번호 has 23 (40.4%) missing valuesMissing
업태구분명 has 57 (100.0%) missing valuesMissing
문화사업자구분명 has 57 (100.0%) missing valuesMissing
제작취급품목내용 has 57 (100.0%) missing valuesMissing
보험기관명 has 57 (100.0%) missing valuesMissing
영문상호명 has 40 (70.2%) missing valuesMissing
선박총톤수 has 57 (100.0%) missing valuesMissing
선박척수 has 57 (100.0%) missing valuesMissing
선박제원 has 57 (100.0%) missing valuesMissing
무대면적 has 57 (100.0%) missing valuesMissing
좌석수 has 57 (100.0%) missing valuesMissing
기념품종류 has 57 (100.0%) missing valuesMissing
회의실별동시수용인원 has 57 (100.0%) missing valuesMissing
시설면적 has 11 (19.3%) missing valuesMissing
놀이기구수내역 has 57 (100.0%) missing valuesMissing
놀이시설수 has 57 (100.0%) missing valuesMissing
방송시설유무 has 57 (100.0%) missing valuesMissing
발전시설유무 has 57 (100.0%) missing valuesMissing
의무실유무 has 57 (100.0%) missing valuesMissing
안내소유무 has 57 (100.0%) missing valuesMissing
기획여행보험시작일자 has 57 (100.0%) missing valuesMissing
기획여행보험종료일자 has 57 (100.0%) missing valuesMissing
보험시작일자 has 57 (100.0%) missing valuesMissing
보험종료일자 has 57 (100.0%) missing valuesMissing
부대시설내역 has 57 (100.0%) missing valuesMissing
시설규모 has 11 (19.3%) missing valuesMissing
번호 has unique valuesUnique
도로명전체주소 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
선박총톤수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박척수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
무대면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
좌석수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
회의실별동시수용인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이시설수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 19:22:14.389652
Analysis finished2023-12-10 19:22:15.063093
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-11T04:22:15.142807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.8
Q115
median29
Q343
95-th percentile54.2
Maximum57
Range56
Interquartile range (IQR)28

Descriptive statistics

Standard deviation16.598193
Coefficient of variation (CV)0.57235147
Kurtosis-1.2
Mean29
Median Absolute Deviation (MAD)14
Skewness0
Sum1653
Variance275.5
MonotonicityStrictly increasing
2023-12-11T04:22:15.297443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
44 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (47) 47
82.5%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
57 1
1.8%
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
외국인관광도시민박업
57 

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 57
100.0%

Length

2023-12-11T04:22:15.479775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:15.627754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인관광도시민박업 57
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
03_11_04_P
57 

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 57
100.0%

Length

2023-12-11T04:22:15.763224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:15.880645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_11_04_p 57
100.0%

개방자치단체코드
Real number (ℝ)

Distinct6
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3427543.9
Minimum3410000
Maximum3470000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-11T04:22:15.975964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3420000
Q33440000
95-th percentile3462000
Maximum3470000
Range60000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation20553.128
Coefficient of variation (CV)0.0059964596
Kurtosis-0.93838718
Mean3427543.9
Median Absolute Deviation (MAD)10000
Skewness0.72717595
Sum1.9537 × 108
Variance4.2243108 × 108
MonotonicityIncreasing
2023-12-11T04:22:16.119859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3410000 27
47.4%
3440000 11
19.3%
3420000 7
 
12.3%
3460000 6
 
10.5%
3450000 3
 
5.3%
3470000 3
 
5.3%
ValueCountFrequency (%)
3410000 27
47.4%
3420000 7
 
12.3%
3440000 11
19.3%
3450000 3
 
5.3%
3460000 6
 
10.5%
3470000 3
 
5.3%
ValueCountFrequency (%)
3470000 3
 
5.3%
3460000 6
 
10.5%
3450000 3
 
5.3%
3440000 11
19.3%
3420000 7
 
12.3%
3410000 27
47.4%

관리번호
Categorical

Distinct27
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Memory size588.0 B
CDFI2262212015000001
4 
CDFI2262212018000001
4 
CDFI2262212019000002
4 
CDFI2262212018000002
4 
CDFI2262212019000001
4 
Other values (22)
37 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique13 ?
Unique (%)22.8%

Sample

1st rowCDFI2262212016000002
2nd rowCDFI2262212012000002
3rd rowCDFI2262212019000004
4th rowCDFI2262212019000002
5th rowCDFI2262212012000003

Common Values

ValueCountFrequency (%)
CDFI2262212015000001 4
 
7.0%
CDFI2262212018000001 4
 
7.0%
CDFI2262212019000002 4
 
7.0%
CDFI2262212018000002 4
 
7.0%
CDFI2262212019000001 4
 
7.0%
CDFI2262212017000001 4
 
7.0%
CDFI2262212016000001 3
 
5.3%
CDFI2262212015000002 3
 
5.3%
CDFI2262212017000002 3
 
5.3%
CDFI2262212018000003 3
 
5.3%
Other values (17) 21
36.8%

Length

2023-12-11T04:22:16.316226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cdfi2262212015000001 4
 
7.0%
cdfi2262212019000002 4
 
7.0%
cdfi2262212018000002 4
 
7.0%
cdfi2262212019000001 4
 
7.0%
cdfi2262212017000001 4
 
7.0%
cdfi2262212018000001 4
 
7.0%
cdfi2262212016000001 3
 
5.3%
cdfi2262212015000002 3
 
5.3%
cdfi2262212017000002 3
 
5.3%
cdfi2262212018000003 3
 
5.3%
Other values (17) 21
36.8%

인허가일자
Real number (ℝ)

Distinct55
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20165199
Minimum20120518
Maximum20191126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-11T04:22:16.855958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120518
5-th percentile20130656
Q120150507
median20170227
Q320180723
95-th percentile20191035
Maximum20191126
Range70608
Interquartile range (IQR)30216

Descriptive statistics

Standard deviation20771.538
Coefficient of variation (CV)0.0010300686
Kurtosis-0.90495847
Mean20165199
Median Absolute Deviation (MAD)19497
Skewness-0.40193406
Sum1.1494163 × 109
Variance4.3145679 × 108
MonotonicityNot monotonic
2023-12-11T04:22:17.093076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150410 2
 
3.5%
20171108 2
 
3.5%
20160609 1
 
1.8%
20190130 1
 
1.8%
20180509 1
 
1.8%
20170307 1
 
1.8%
20170227 1
 
1.8%
20180423 1
 
1.8%
20180417 1
 
1.8%
20190225 1
 
1.8%
Other values (45) 45
78.9%
ValueCountFrequency (%)
20120518 1
1.8%
20120626 1
1.8%
20130418 1
1.8%
20130716 1
1.8%
20130829 1
1.8%
20131018 1
1.8%
20140106 1
1.8%
20140804 1
1.8%
20140925 1
1.8%
20141103 1
1.8%
ValueCountFrequency (%)
20191126 1
1.8%
20191125 1
1.8%
20191113 1
1.8%
20191015 1
1.8%
20190919 1
1.8%
20190712 1
1.8%
20190705 1
1.8%
20190605 1
1.8%
20190416 1
1.8%
20190319 1
1.8%

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
56 
20191101
 
1

Length

Max length8
Median length4
Mean length4.0701754
Min length4

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
98.2%
20191101 1
 
1.8%

Length

2023-12-11T04:22:17.312585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:17.472002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
98.2%
20191101 1
 
1.8%

영업상태구분코드
Categorical

Distinct4
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
1
28 
3
25 
2
3 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 28
49.1%
3 25
43.9%
2 3
 
5.3%
4 1
 
1.8%

Length

2023-12-11T04:22:17.626334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:17.783319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
49.1%
3 25
43.9%
2 3
 
5.3%
4 1
 
1.8%

영업상태명
Categorical

Distinct4
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
영업/정상
28 
폐업
25 
휴업
3 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length3.6842105
Min length2

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 28
49.1%
폐업 25
43.9%
휴업 3
 
5.3%
취소/말소/만료/정지/중지 1
 
1.8%

Length

2023-12-11T04:22:17.957046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:18.117403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 28
49.1%
폐업 25
43.9%
휴업 3
 
5.3%
취소/말소/만료/정지/중지 1
 
1.8%

상세영업상태코드
Categorical

Distinct4
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
13
28 
3
25 
2
3 
31
 
1

Length

Max length2
Median length2
Mean length1.5087719
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
13 28
49.1%
3 25
43.9%
2 3
 
5.3%
31 1
 
1.8%

Length

2023-12-11T04:22:18.286721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:18.456026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 28
49.1%
3 25
43.9%
2 3
 
5.3%
31 1
 
1.8%

상세영업상태명
Categorical

Distinct4
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
영업중
28 
폐업
25 
휴업
3 
등록취소
 
1

Length

Max length4
Median length3
Mean length2.5263158
Min length2

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 28
49.1%
폐업 25
43.9%
휴업 3
 
5.3%
등록취소 1
 
1.8%

Length

2023-12-11T04:22:18.683883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:18.853039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 28
49.1%
폐업 25
43.9%
휴업 3
 
5.3%
등록취소 1
 
1.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)96.0%
Missing32
Missing (%)56.1%
Infinite0
Infinite (%)0.0%
Mean20182108
Minimum20140106
Maximum20200806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-11T04:22:19.021144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20140106
5-th percentile20140751
Q120180316
median20190114
Q320190807
95-th percentile20200491
Maximum20200806
Range60700
Interquartile range (IQR)10491

Descriptive statistics

Standard deviation17883.536
Coefficient of variation (CV)0.00088610841
Kurtosis1.5878338
Mean20182108
Median Absolute Deviation (MAD)9793
Skewness-1.4457673
Sum5.0455271 × 108
Variance3.1982086 × 108
MonotonicityNot monotonic
2023-12-11T04:22:19.201503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
20190129 2
 
3.5%
20181120 1
 
1.8%
20200401 1
 
1.8%
20191108 1
 
1.8%
20181029 1
 
1.8%
20170626 1
 
1.8%
20200128 1
 
1.8%
20180316 1
 
1.8%
20180309 1
 
1.8%
20170914 1
 
1.8%
Other values (14) 14
24.6%
(Missing) 32
56.1%
ValueCountFrequency (%)
20140106 1
1.8%
20140707 1
1.8%
20140925 1
1.8%
20170626 1
1.8%
20170914 1
1.8%
20180309 1
1.8%
20180316 1
1.8%
20180321 1
1.8%
20180330 1
1.8%
20180702 1
1.8%
ValueCountFrequency (%)
20200806 1
1.8%
20200514 1
1.8%
20200401 1
1.8%
20200219 1
1.8%
20200128 1
1.8%
20191108 1
1.8%
20190807 1
1.8%
20190510 1
1.8%
20190315 1
1.8%
20190129 2
3.5%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
54 
20200806
 
2
20170331
 
1

Length

Max length8
Median length4
Mean length4.2105263
Min length4

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 54
94.7%
20200806 2
 
3.5%
20170331 1
 
1.8%

Length

2023-12-11T04:22:19.398331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:19.553490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
94.7%
20200806 2
 
3.5%
20170331 1
 
1.8%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
54 
20210206
 
1
20180331
 
1
20210806
 
1

Length

Max length8
Median length4
Mean length4.2105263
Min length4

Unique

Unique3 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 54
94.7%
20210206 1
 
1.8%
20180331 1
 
1.8%
20210806 1
 
1.8%

Length

2023-12-11T04:22:19.745100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:19.921855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
94.7%
20210206 1
 
1.8%
20180331 1
 
1.8%
20210806 1
 
1.8%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

소재지전화
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing52
Missing (%)91.2%
Memory size588.0 B
2023-12-11T04:22:20.099469image/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%
2023-12-11T04:22:20.496068image/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 

Missing57
Missing (%)100.0%
Memory size645.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing44
Missing (%)77.2%
Infinite0
Infinite (%)0.0%
Mean701072.31
Minimum700160
Maximum705822
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-11T04:22:20.673183image/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
2023-12-11T04:22:20.844622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
700270 2
 
3.5%
700160 1
 
1.8%
700817 1
 
1.8%
700812 1
 
1.8%
700431 1
 
1.8%
700810 1
 
1.8%
700755 1
 
1.8%
700837 1
 
1.8%
700823 1
 
1.8%
700310 1
 
1.8%
Other values (2) 2
 
3.5%
(Missing) 44
77.2%
ValueCountFrequency (%)
700160 1
1.8%
700270 2
3.5%
700310 1
1.8%
700431 1
1.8%
700755 1
1.8%
700810 1
1.8%
700812 1
1.8%
700817 1
1.8%
700823 1
1.8%
700837 1
1.8%
ValueCountFrequency (%)
705822 1
1.8%
701823 1
1.8%
700837 1
1.8%
700823 1
1.8%
700817 1
1.8%
700812 1
1.8%
700810 1
1.8%
700755 1
1.8%
700431 1
1.8%
700310 1
1.8%

소재지전체주소
Text

Distinct55
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T04:22:21.210931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length37
Mean length22
Min length14

Characters and Unicode

Total characters1254
Distinct characters78
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

Unique53 ?
Unique (%)93.0%

Sample

1st row대구광역시 중구 남성로 146
2nd row대구광역시 중구 종로2가
3rd row대구광역시 중구 북내동 14번지
4th row대구광역시 중구 봉산동 230-74번지
5th row대구광역시 중구 문화동 6-13번지 6층
ValueCountFrequency (%)
대구광역시 57
23.8%
중구 27
 
11.3%
남구 11
 
4.6%
대명동 9
 
3.8%
동구 7
 
2.9%
수성구 6
 
2.5%
대봉동 6
 
2.5%
남산동 4
 
1.7%
봉산동 3
 
1.3%
달서구 3
 
1.3%
Other values (94) 106
44.4%
2023-12-11T04:22:21.809365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
235
18.7%
구 114
 
9.1%
대 74
 
5.9%
동 68
 
5.4%
시 58
 
4.6%
광 57
 
4.5%
역 57
 
4.5%
번 47
 
3.7%
지 47
 
3.7%
- 47
 
3.7%
Other values (68) 450
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 705
56.2%
Decimal Number 267
 
21.3%
Space Separator 235
 
18.7%
Dash Punctuation 47
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 114
16.2%
대 74
10.5%
동 68
9.6%
시 58
8.2%
광 57
8.1%
역 57
8.1%
번 47
 
6.7%
지 47
 
6.7%
중 28
 
4.0%
남 16
 
2.3%
Other values (56) 139
19.7%
Decimal Number
ValueCountFrequency (%)
1 46
17.2%
3 36
13.5%
2 34
12.7%
4 32
12.0%
6 30
11.2%
0 26
9.7%
5 25
9.4%
7 15
 
5.6%
8 13
 
4.9%
9 10
 
3.7%
Space Separator
ValueCountFrequency (%)
235
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 705
56.2%
Common 549
43.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 114
16.2%
대 74
10.5%
동 68
9.6%
시 58
8.2%
광 57
8.1%
역 57
8.1%
번 47
 
6.7%
지 47
 
6.7%
중 28
 
4.0%
남 16
 
2.3%
Other values (56) 139
19.7%
Common
ValueCountFrequency (%)
235
42.8%
- 47
 
8.6%
1 46
 
8.4%
3 36
 
6.6%
2 34
 
6.2%
4 32
 
5.8%
6 30
 
5.5%
0 26
 
4.7%
5 25
 
4.6%
7 15
 
2.7%
Other values (2) 23
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 705
56.2%
ASCII 549
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
235
42.8%
- 47
 
8.6%
1 46
 
8.4%
3 36
 
6.6%
2 34
 
6.2%
4 32
 
5.8%
6 30
 
5.5%
0 26
 
4.7%
5 25
 
4.6%
7 15
 
2.7%
Other values (2) 23
 
4.2%
Hangul
ValueCountFrequency (%)
구 114
16.2%
대 74
10.5%
동 68
9.6%
시 58
8.2%
광 57
8.1%
역 57
8.1%
번 47
 
6.7%
지 47
 
6.7%
중 28
 
4.0%
남 16
 
2.3%
Other values (56) 139
19.7%

도로명전체주소
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T04:22:22.357202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length29.350877
Min length20

Characters and Unicode

Total characters1673
Distinct characters130
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

Unique57 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 남성로 4 (남성로)
2nd row대구광역시 중구 진골목길 12 (종로2가)
3rd row대구광역시 중구 서성로16길 46-12 (북내동)
4th row대구광역시 중구 명륜로23길 38-2, 4층 501호 (봉산동)
5th row대구광역시 중구 국채보상로123길 23, 6층 (문화동)
ValueCountFrequency (%)
대구광역시 57
 
17.7%
중구 27
 
8.4%
남구 11
 
3.4%
대명동 9
 
2.8%
동구 7
 
2.2%
수성구 6
 
1.9%
대봉동 6
 
1.9%
2층 4
 
1.2%
남산동 4
 
1.2%
봉산동 3
 
0.9%
Other values (157) 188
58.4%
2023-12-11T04:22:23.101203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
265
 
15.8%
구 120
 
7.2%
대 87
 
5.2%
동 79
 
4.7%
1 73
 
4.4%
시 59
 
3.5%
( 57
 
3.4%
) 57
 
3.4%
역 57
 
3.4%
광 57
 
3.4%
Other values (120) 762
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 913
54.6%
Decimal Number 320
 
19.1%
Space Separator 265
 
15.8%
Open Punctuation 57
 
3.4%
Close Punctuation 57
 
3.4%
Dash Punctuation 30
 
1.8%
Other Punctuation 28
 
1.7%
Uppercase Letter 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 120
 
13.1%
대 87
 
9.5%
동 79
 
8.7%
시 59
 
6.5%
역 57
 
6.2%
광 57
 
6.2%
로 51
 
5.6%
길 46
 
5.0%
중 30
 
3.3%
남 20
 
2.2%
Other values (102) 307
33.6%
Decimal Number
ValueCountFrequency (%)
1 73
22.8%
2 50
15.6%
3 43
13.4%
4 37
11.6%
0 31
9.7%
6 29
 
9.1%
5 19
 
5.9%
8 15
 
4.7%
9 13
 
4.1%
7 10
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
N 1
50.0%
Space Separator
ValueCountFrequency (%)
265
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 913
54.6%
Common 758
45.3%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 120
 
13.1%
대 87
 
9.5%
동 79
 
8.7%
시 59
 
6.5%
역 57
 
6.2%
광 57
 
6.2%
로 51
 
5.6%
길 46
 
5.0%
중 30
 
3.3%
남 20
 
2.2%
Other values (102) 307
33.6%
Common
ValueCountFrequency (%)
265
35.0%
1 73
 
9.6%
( 57
 
7.5%
) 57
 
7.5%
2 50
 
6.6%
3 43
 
5.7%
4 37
 
4.9%
0 31
 
4.1%
- 30
 
4.0%
6 29
 
3.8%
Other values (6) 86
 
11.3%
Latin
ValueCountFrequency (%)
I 1
50.0%
N 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 913
54.6%
ASCII 760
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
265
34.9%
1 73
 
9.6%
( 57
 
7.5%
) 57
 
7.5%
2 50
 
6.6%
3 43
 
5.7%
4 37
 
4.9%
0 31
 
4.1%
- 30
 
3.9%
6 29
 
3.8%
Other values (8) 88
 
11.6%
Hangul
ValueCountFrequency (%)
구 120
 
13.1%
대 87
 
9.5%
동 79
 
8.7%
시 59
 
6.5%
역 57
 
6.2%
광 57
 
6.2%
로 51
 
5.6%
길 46
 
5.0%
중 30
 
3.3%
남 20
 
2.2%
Other values (102) 307
33.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)88.2%
Missing23
Missing (%)40.4%
Infinite0
Infinite (%)0.0%
Mean41978.529
Minimum41001
Maximum42649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-11T04:22:23.309384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001
5-th percentile41139.95
Q141673
median41960.5
Q342431.75
95-th percentile42549.75
Maximum42649
Range1648
Interquartile range (IQR)758.75

Descriptive statistics

Standard deviation483.31753
Coefficient of variation (CV)0.011513446
Kurtosis-0.71932258
Mean41978.529
Median Absolute Deviation (MAD)441
Skewness-0.56514833
Sum1427270
Variance233595.83
MonotonicityNot monotonic
2023-12-11T04:22:23.499398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
41919 3
 
5.3%
42490 2
 
3.5%
41958 2
 
3.5%
41957 1
 
1.8%
42425 1
 
1.8%
42644 1
 
1.8%
42649 1
 
1.8%
42149 1
 
1.8%
42247 1
 
1.8%
42166 1
 
1.8%
Other values (20) 20
35.1%
(Missing) 23
40.4%
ValueCountFrequency (%)
41001 1
 
1.8%
41112 1
 
1.8%
41155 1
 
1.8%
41217 1
 
1.8%
41224 1
 
1.8%
41245 1
 
1.8%
41536 1
 
1.8%
41587 1
 
1.8%
41591 1
 
1.8%
41919 3
5.3%
ValueCountFrequency (%)
42649 1
1.8%
42644 1
1.8%
42499 1
1.8%
42490 2
3.5%
42468 1
1.8%
42453 1
1.8%
42448 1
1.8%
42434 1
1.8%
42425 1
1.8%
42418 1
1.8%

사업장명
Text

Distinct55
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T04:22:23.862499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length9.3508772
Min length3

Characters and Unicode

Total characters533
Distinct characters150
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)93.0%

Sample

1st row온나 게스트하우스
2nd row다님 하늘배 게스트하우스
3rd rowGuma
4th row이든(EDEN)
5th row대구 피터팬 게스트하우스
ValueCountFrequency (%)
게스트하우스 16
 
15.7%
house 7
 
6.9%
the 2
 
2.0%
of 2
 
2.0%
gallery 2
 
2.0%
글렌즈 2
 
2.0%
집 2
 
2.0%
상상하우스 1
 
1.0%
뷰가 1
 
1.0%
멋진 1
 
1.0%
Other values (66) 66
64.7%
2023-12-11T04:22:24.406940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 58
 
10.9%
46
 
8.6%
하 35
 
6.6%
우 31
 
5.8%
트 25
 
4.7%
게 24
 
4.5%
e 16
 
3.0%
o 10
 
1.9%
u 10
 
1.9%
s 9
 
1.7%
Other values (140) 269
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 329
61.7%
Lowercase Letter 99
 
18.6%
Space Separator 46
 
8.6%
Uppercase Letter 37
 
6.9%
Open Punctuation 8
 
1.5%
Close Punctuation 8
 
1.5%
Other Punctuation 4
 
0.8%
Modifier Symbol 1
 
0.2%
Letter Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 58
17.6%
하 35
 
10.6%
우 31
 
9.4%
트 25
 
7.6%
게 24
 
7.3%
이 5
 
1.5%
라 5
 
1.5%
레 3
 
0.9%
리 3
 
0.9%
마 3
 
0.9%
Other values (99) 137
41.6%
Uppercase Letter
ValueCountFrequency (%)
S 5
13.5%
E 4
10.8%
P 3
 
8.1%
B 3
 
8.1%
T 3
 
8.1%
H 3
 
8.1%
G 3
 
8.1%
A 2
 
5.4%
J 1
 
2.7%
V 1
 
2.7%
Other values (9) 9
24.3%
Lowercase Letter
ValueCountFrequency (%)
e 16
16.2%
o 10
10.1%
u 10
10.1%
s 9
9.1%
h 8
8.1%
a 7
7.1%
l 7
7.1%
n 6
 
6.1%
g 6
 
6.1%
i 5
 
5.1%
Other values (6) 15
15.2%
Space Separator
ValueCountFrequency (%)
46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
& 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 329
61.7%
Latin 137
25.7%
Common 67
 
12.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 58
17.6%
하 35
 
10.6%
우 31
 
9.4%
트 25
 
7.6%
게 24
 
7.3%
이 5
 
1.5%
라 5
 
1.5%
레 3
 
0.9%
리 3
 
0.9%
마 3
 
0.9%
Other values (99) 137
41.6%
Latin
ValueCountFrequency (%)
e 16
 
11.7%
o 10
 
7.3%
u 10
 
7.3%
s 9
 
6.6%
h 8
 
5.8%
a 7
 
5.1%
l 7
 
5.1%
n 6
 
4.4%
g 6
 
4.4%
S 5
 
3.6%
Other values (26) 53
38.7%
Common
ValueCountFrequency (%)
46
68.7%
( 8
 
11.9%
) 8
 
11.9%
& 4
 
6.0%
` 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 329
61.7%
ASCII 203
38.1%
Number Forms 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 58
17.6%
하 35
 
10.6%
우 31
 
9.4%
트 25
 
7.6%
게 24
 
7.3%
이 5
 
1.5%
라 5
 
1.5%
레 3
 
0.9%
리 3
 
0.9%
마 3
 
0.9%
Other values (99) 137
41.6%
ASCII
ValueCountFrequency (%)
46
22.7%
e 16
 
7.9%
o 10
 
4.9%
u 10
 
4.9%
s 9
 
4.4%
h 8
 
3.9%
( 8
 
3.9%
) 8
 
3.9%
a 7
 
3.4%
l 7
 
3.4%
Other values (30) 74
36.5%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0183261 × 1013
Minimum2.0140106 × 1013
Maximum2.0200806 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-11T04:22:24.622098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0140106 × 1013
5-th percentile2.0141068 × 1013
Q12.0180105 × 1013
median2.0190129 × 1013
Q32.0200103 × 1013
95-th percentile2.0200726 × 1013
Maximum2.0200806 × 1013
Range6.0700019 × 1010
Interquartile range (IQR)1.9998042 × 1010

Descriptive statistics

Standard deviation1.6956567 × 1010
Coefficient of variation (CV)0.00084013018
Kurtosis0.78449764
Mean2.0183261 × 1013
Median Absolute Deviation (MAD)1.002407 × 1010
Skewness-1.1584972
Sum1.1504459 × 1015
Variance2.8752515 × 1020
MonotonicityNot monotonic
2023-12-11T04:22:24.851075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160609104537 1
 
1.8%
20200706110545 1
 
1.8%
20170808140615 1
 
1.8%
20200806155027 1
 
1.8%
20190612140718 1
 
1.8%
20200211161040 1
 
1.8%
20180105092351 1
 
1.8%
20200211161145 1
 
1.8%
20200211161132 1
 
1.8%
20200211161218 1
 
1.8%
Other values (47) 47
82.5%
ValueCountFrequency (%)
20140106142041 1
1.8%
20140709152627 1
1.8%
20140925164619 1
1.8%
20141103091127 1
1.8%
20151217104715 1
1.8%
20160609104537 1
1.8%
20160624094037 1
1.8%
20160817134853 1
1.8%
20170626100157 1
1.8%
20170808140615 1
1.8%
ValueCountFrequency (%)
20200806161120 1
1.8%
20200806155027 1
1.8%
20200806142434 1
1.8%
20200706110545 1
1.8%
20200514150553 1
1.8%
20200401085707 1
1.8%
20200219101013 1
1.8%
20200211161218 1
1.8%
20200211161200 1
1.8%
20200211161145 1
1.8%

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
U
31 
I
26 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 31
54.4%
I 26
45.6%

Length

2023-12-11T04:22:25.058022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:25.198434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 31
54.4%
i 26
45.6%

데이터갱신일자
Categorical

Distinct28
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Memory size588.0 B
2018-08-31 23:59:59.0
22 
2020-02-13 02:40:00.0
6 
2020-08-08 02:40:00.0
3 
2019-12-26 02:40:00.0
 
2
2019-11-15 00:23:15.0
 
1
Other values (23)
23 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique24 ?
Unique (%)42.1%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2019-11-27 00:23:25.0
4th row2019-10-17 00:22:51.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 22
38.6%
2020-02-13 02:40:00.0 6
 
10.5%
2020-08-08 02:40:00.0 3
 
5.3%
2019-12-26 02:40:00.0 2
 
3.5%
2019-11-15 00:23:15.0 1
 
1.8%
2019-10-17 00:22:51.0 1
 
1.8%
2019-01-16 02:40:00.0 1
 
1.8%
2019-05-12 02:40:00.0 1
 
1.8%
2019-01-25 02:40:00.0 1
 
1.8%
2019-03-17 02:40:00.0 1
 
1.8%
Other values (18) 18
31.6%

Length

2023-12-11T04:22:25.357759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:40:00.0 27
23.7%
23:59:59.0 24
21.1%
2018-08-31 22
19.3%
2020-02-13 6
 
5.3%
2020-08-08 3
 
2.6%
2019-12-26 2
 
1.8%
2018-10-31 1
 
0.9%
2019-09-05 1
 
0.9%
2019-11-03 1
 
0.9%
2020-07-09 1
 
0.9%
Other values (26) 26
22.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

좌표정보(X)
Real number (ℝ)

Distinct55
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344454.47
Minimum339049.96
Maximum354462.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-11T04:22:25.560654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum339049.96
5-th percentile340703.88
Q1343224.63
median344027.59
Q3345082.42
95-th percentile348581.41
Maximum354462.36
Range15412.398
Interquartile range (IQR)1857.791

Descriptive statistics

Standard deviation2498.8803
Coefficient of variation (CV)0.0072546028
Kurtosis3.7628162
Mean344454.47
Median Absolute Deviation (MAD)1054.8316
Skewness1.106648
Sum19633905
Variance6244402.9
MonotonicityNot monotonic
2023-12-11T04:22:25.797842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344976.101155 2
 
3.5%
345082.421389 2
 
3.5%
343307.030512 1
 
1.8%
345053.536451 1
 
1.8%
347001.833522 1
 
1.8%
342243.89942 1
 
1.8%
342911.112066 1
 
1.8%
340848.928959 1
 
1.8%
342264.559779 1
 
1.8%
341995.532871 1
 
1.8%
Other values (45) 45
78.9%
ValueCountFrequency (%)
339049.95989 1
1.8%
339682.549306 1
1.8%
340123.70491 1
1.8%
340848.928959 1
1.8%
341995.532871 1
1.8%
342243.89942 1
1.8%
342264.559779 1
1.8%
342288.762044 1
1.8%
342551.954206 1
1.8%
342648.126043 1
1.8%
ValueCountFrequency (%)
354462.358105 1
1.8%
348766.615251 1
1.8%
348720.213469 1
1.8%
348546.714696 1
1.8%
348401.305235 1
1.8%
347461.950418 1
1.8%
347265.87234 1
1.8%
347150.389907 1
1.8%
347001.833522 1
1.8%
346939.381392 1
1.8%

좌표정보(Y)
Real number (ℝ)

Distinct55
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263698.11
Minimum258390.06
Maximum276507.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-11T04:22:26.032569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum258390.06
5-th percentile260440.52
Q1262435.48
median263593.64
Q3264751.41
95-th percentile266399.52
Maximum276507.53
Range18117.465
Interquartile range (IQR)2315.9241

Descriptive statistics

Standard deviation2480.9127
Coefficient of variation (CV)0.0094081547
Kurtosis11.99056
Mean263698.11
Median Absolute Deviation (MAD)1158.1527
Skewness2.2438189
Sum15030792
Variance6154927.6
MonotonicityNot monotonic
2023-12-11T04:22:26.282609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263491.050061 2
 
3.5%
263767.98034 2
 
3.5%
264370.9561 1
 
1.8%
262713.424359 1
 
1.8%
266235.742624 1
 
1.8%
260531.029145 1
 
1.8%
260701.95565 1
 
1.8%
260159.228592 1
 
1.8%
260496.175693 1
 
1.8%
261545.353531 1
 
1.8%
Other values (45) 45
78.9%
ValueCountFrequency (%)
258390.063114 1
1.8%
260159.228592 1
1.8%
260217.87376 1
1.8%
260496.175693 1
1.8%
260531.029145 1
1.8%
260701.95565 1
1.8%
261039.870033 1
1.8%
261364.414024 1
1.8%
261447.156212 1
1.8%
261545.353531 1
1.8%
ValueCountFrequency (%)
276507.527883 1
1.8%
267457.503823 1
1.8%
266506.075194 1
1.8%
266372.885505 1
1.8%
266235.742624 1
1.8%
266142.945913 1
1.8%
265487.37503 1
1.8%
265286.464691 1
1.8%
265261.931053 1
1.8%
264899.23092 1
1.8%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
외국인관광 도시민박업
57 

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 57
100.0%

Length

2023-12-11T04:22:26.519660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:26.668960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인관광 57
50.0%
도시민박업 57
50.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

지역구분명
Categorical

Distinct9
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
23 
일반주거지역
14 
주거지역
6 
중심상업지역
4 
준주거지역
4 
Other values (4)
6 

Length

Max length6
Median length4
Mean length4.9122807
Min length4

Unique

Unique3 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
40.4%
일반주거지역 14
24.6%
주거지역 6
 
10.5%
중심상업지역 4
 
7.0%
준주거지역 4
 
7.0%
일반상업지역 3
 
5.3%
근린상업지역 1
 
1.8%
자연녹지지역 1
 
1.8%
전용주거지역 1
 
1.8%

Length

2023-12-11T04:22:26.831783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:27.031513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
40.4%
일반주거지역 14
24.6%
주거지역 6
 
10.5%
중심상업지역 4
 
7.0%
준주거지역 4
 
7.0%
일반상업지역 3
 
5.3%
근린상업지역 1
 
1.8%
자연녹지지역 1
 
1.8%
전용주거지역 1
 
1.8%

총층수
Categorical

Distinct5
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
29 
1
12 
3
8 
2
5 
4
3 

Length

Max length4
Median length4
Mean length2.5263158
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
50.9%
1 12
21.1%
3 8
 
14.0%
2 5
 
8.8%
4 3
 
5.3%

Length

2023-12-11T04:22:27.267426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:27.454352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
50.9%
1 12
21.1%
3 8
 
14.0%
2 5
 
8.8%
4 3
 
5.3%

주변환경명
Categorical

Distinct4
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
45 
주택가주변
6 
학교정화(상대)
5 
아파트지역
 
1

Length

Max length8
Median length4
Mean length4.4736842
Min length4

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
78.9%
주택가주변 6
 
10.5%
학교정화(상대) 5
 
8.8%
아파트지역 1
 
1.8%

Length

2023-12-11T04:22:27.696254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:27.881105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
78.9%
주택가주변 6
 
10.5%
학교정화(상대 5
 
8.8%
아파트지역 1
 
1.8%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

건물용도명
Categorical

Distinct8
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
단독주택
27 
<NA>
13 
다가구용 주택(공동주택적용)
8 
아파트
4 
다세대주택
 
2
Other values (3)
3 

Length

Max length15
Median length4
Mean length5.5263158
Min length3

Unique

Unique3 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
단독주택 27
47.4%
<NA> 13
22.8%
다가구용 주택(공동주택적용) 8
 
14.0%
아파트 4
 
7.0%
다세대주택 2
 
3.5%
연립주택 1
 
1.8%
사무실 1
 
1.8%
근린생활시설 1
 
1.8%

Length

2023-12-11T04:22:28.096472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:28.297614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독주택 27
41.5%
na 13
20.0%
다가구용 8
 
12.3%
주택(공동주택적용 8
 
12.3%
아파트 4
 
6.2%
다세대주택 2
 
3.1%
연립주택 1
 
1.5%
사무실 1
 
1.5%
근린생활시설 1
 
1.5%

지상층수
Categorical

Distinct6
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
35 
2
9 
3
5 
1
4 
4
 
3

Length

Max length4
Median length4
Mean length2.8421053
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
61.4%
2 9
 
15.8%
3 5
 
8.8%
1 4
 
7.0%
4 3
 
5.3%
9 1
 
1.8%

Length

2023-12-11T04:22:28.538358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:29.130412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
61.4%
2 9
 
15.8%
3 5
 
8.8%
1 4
 
7.0%
4 3
 
5.3%
9 1
 
1.8%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
54 
1
 
3

Length

Max length4
Median length4
Mean length3.8421053
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> 54
94.7%
1 3
 
5.3%

Length

2023-12-11T04:22:29.334596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:29.501862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
94.7%
1 3
 
5.3%

객실수
Categorical

Distinct5
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
34 
2
11 
1
8 
3
 
3
5
 
1

Length

Max length4
Median length4
Mean length2.7894737
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
59.6%
2 11
 
19.3%
1 8
 
14.0%
3 3
 
5.3%
5 1
 
1.8%

Length

2023-12-11T04:22:29.711628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:29.876928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
59.6%
2 11
 
19.3%
1 8
 
14.0%
3 3
 
5.3%
5 1
 
1.8%

건축연면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
53 
54
 
1
270
 
1
53
 
1
154
 
1

Length

Max length4
Median length4
Mean length3.8947368
Min length2

Unique

Unique4 ?
Unique (%)7.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
93.0%
54 1
 
1.8%
270 1
 
1.8%
53 1
 
1.8%
154 1
 
1.8%

Length

2023-12-11T04:22:30.103334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:30.274684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
93.0%
54 1
 
1.8%
270 1
 
1.8%
53 1
 
1.8%
154 1
 
1.8%

영문상호명
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing40
Missing (%)70.2%
Memory size588.0 B
2023-12-11T04:22:30.494586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length13.411765
Min length4

Characters and Unicode

Total characters228
Distinct characters38
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st rowDanim Skyboat Guesthouse
2nd rowGuma
3rd rowEDEN
4th rowglenn's guesthouse
5th rowSEINE GUESTHOUSE
ValueCountFrequency (%)
house 6
 
16.7%
guest 3
 
8.3%
guesthouse 3
 
8.3%
dalgu 1
 
2.8%
houst 1
 
2.8%
gues 1
 
2.8%
daegu 1
 
2.8%
sara's 1
 
2.8%
vesta 1
 
2.8%
family 1
 
2.8%
Other values (17) 17
47.2%
2023-12-11T04:22:31.001833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
8.3%
E 16
 
7.0%
S 14
 
6.1%
u 13
 
5.7%
e 13
 
5.7%
s 13
 
5.7%
o 11
 
4.8%
U 10
 
4.4%
O 9
 
3.9%
N 9
 
3.9%
Other values (28) 101
44.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 103
45.2%
Lowercase Letter 103
45.2%
Space Separator 19
 
8.3%
Other Punctuation 3
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
u 13
12.6%
e 13
12.6%
s 13
12.6%
o 11
10.7%
h 7
 
6.8%
i 6
 
5.8%
t 6
 
5.8%
a 5
 
4.9%
g 5
 
4.9%
n 5
 
4.9%
Other values (9) 19
18.4%
Uppercase Letter
ValueCountFrequency (%)
E 16
15.5%
S 14
13.6%
U 10
9.7%
O 9
8.7%
N 9
8.7%
A 8
7.8%
G 8
7.8%
H 7
6.8%
D 5
 
4.9%
T 4
 
3.9%
Other values (7) 13
12.6%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
' 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 206
90.4%
Common 22
 
9.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 16
 
7.8%
S 14
 
6.8%
u 13
 
6.3%
e 13
 
6.3%
s 13
 
6.3%
o 11
 
5.3%
U 10
 
4.9%
O 9
 
4.4%
N 9
 
4.4%
A 8
 
3.9%
Other values (26) 90
43.7%
Common
ValueCountFrequency (%)
19
86.4%
' 3
 
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 228
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
 
8.3%
E 16
 
7.0%
S 14
 
6.1%
u 13
 
5.7%
e 13
 
5.7%
s 13
 
5.7%
o 11
 
4.8%
U 10
 
4.4%
O 9
 
3.9%
N 9
 
3.9%
Other values (28) 101
44.3%

영문상호주소
Categorical

Distinct4
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
41 
Foreign tourist city private rental room service
8 
Homestay Business
7 
foreigner city guest house
 
1

Length

Max length48
Median length4
Mean length12.157895
Min length4

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 41
71.9%
Foreign tourist city private rental room service 8
 
14.0%
Homestay Business 7
 
12.3%
foreigner city guest house 1
 
1.8%

Length

2023-12-11T04:22:31.212400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:31.387837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
35.7%
city 9
 
7.8%
foreign 8
 
7.0%
tourist 8
 
7.0%
private 8
 
7.0%
rental 8
 
7.0%
room 8
 
7.0%
service 8
 
7.0%
homestay 7
 
6.1%
business 7
 
6.1%
Other values (3) 3
 
2.6%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

시설면적
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)97.8%
Missing11
Missing (%)19.3%
Infinite0
Infinite (%)0.0%
Mean104.345
Minimum16
Maximum215.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-11T04:22:31.606972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile27.2925
Q154.6075
median98.905
Q3153.3775
95-th percentile194.33
Maximum215.21
Range199.21
Interquartile range (IQR)98.77

Descriptive statistics

Standard deviation56.112985
Coefficient of variation (CV)0.53776401
Kurtosis-0.97411415
Mean104.345
Median Absolute Deviation (MAD)46.34
Skewness0.35625091
Sum4799.87
Variance3148.6671
MonotonicityNot monotonic
2023-12-11T04:22:31.859346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
114.48 2
 
3.5%
57.5 1
 
1.8%
54.11 1
 
1.8%
125.0 1
 
1.8%
96.53 1
 
1.8%
158.14 1
 
1.8%
204.99 1
 
1.8%
94.47 1
 
1.8%
180.77 1
 
1.8%
101.28 1
 
1.8%
Other values (35) 35
61.4%
(Missing) 11
 
19.3%
ValueCountFrequency (%)
16.0 1
1.8%
20.8 1
1.8%
26.0 1
1.8%
31.17 1
1.8%
38.0 1
1.8%
39.37 1
1.8%
46.96 1
1.8%
49.82 1
1.8%
52.18 1
1.8%
52.23 1
1.8%
ValueCountFrequency (%)
215.21 1
1.8%
204.99 1
1.8%
195.44 1
1.8%
191.0 1
1.8%
188.31 1
1.8%
187.6 1
1.8%
186.68 1
1.8%
180.77 1
1.8%
161.11 1
1.8%
159.3 1
1.8%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

자본금
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
56 
70000000
 
1

Length

Max length8
Median length4
Mean length4.0701754
Min length4

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
98.2%
70000000 1
 
1.8%

Length

2023-12-11T04:22:32.099564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:22:32.272261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
98.2%
70000000 1
 
1.8%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)87.0%
Missing11
Missing (%)19.3%
Infinite0
Infinite (%)0.0%
Mean104.32609
Minimum16
Maximum215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-11T04:22:32.438067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile27.25
Q154.5
median99
Q3153.25
95-th percentile194
Maximum215
Range199
Interquartile range (IQR)98.75

Descriptive statistics

Standard deviation56.077349
Coefficient of variation (CV)0.53751991
Kurtosis-0.97208402
Mean104.32609
Median Absolute Deviation (MAD)46.5
Skewness0.35670501
Sum4799
Variance3144.6691
MonotonicityNot monotonic
2023-12-11T04:22:32.657437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
114 3
 
5.3%
94 2
 
3.5%
52 2
 
3.5%
111 2
 
3.5%
188 2
 
3.5%
101 1
 
1.8%
54 1
 
1.8%
125 1
 
1.8%
97 1
 
1.8%
158 1
 
1.8%
Other values (30) 30
52.6%
(Missing) 11
 
19.3%
ValueCountFrequency (%)
16 1
1.8%
21 1
1.8%
26 1
1.8%
31 1
1.8%
38 1
1.8%
39 1
1.8%
47 1
1.8%
50 1
1.8%
52 2
3.5%
53 1
1.8%
ValueCountFrequency (%)
215 1
1.8%
205 1
1.8%
195 1
1.8%
191 1
1.8%
188 2
3.5%
187 1
1.8%
181 1
1.8%
161 1
1.8%
159 1
1.8%
158 1
1.8%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01외국인관광도시민박업03_11_04_P3410000CDFI226221201600000220160609<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남성로 146대구광역시 중구 남성로 4 (남성로)<NA>온나 게스트하우스20160609104537I2018-08-31 23:59:59.0<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
12외국인관광도시민박업03_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>
23외국인관광도시민박업03_11_04_P3410000CDFI226221201900000420191125<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 북내동 14번지대구광역시 중구 서성로16길 46-12 (북내동)41919Guma20191125142714I2019-11-27 00:23:25.0<NA>343508.430263264813.487252외국인관광 도시민박업<NA><NA>1<NA><NA><NA>단독주택<NA><NA><NA><NA>GumaHomestay Business<NA><NA><NA><NA><NA><NA><NA>111.17<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>111
34외국인관광도시민박업03_11_04_P3410000CDFI226221201900000220191015<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 봉산동 230-74번지대구광역시 중구 명륜로23길 38-2, 4층 501호 (봉산동)41958이든(EDEN)20191015140816I2019-10-17 00:22:51.0<NA>344068.262076263557.856723외국인관광 도시민박업<NA><NA><NA><NA><NA><NA>단독주택<NA><NA><NA><NA>EDENHomestay Business<NA><NA><NA><NA><NA><NA><NA>94.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>94
45외국인관광도시민박업03_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
56외국인관광도시민박업03_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>
67외국인관광도시민박업03_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
78외국인관광도시민박업03_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
89외국인관광도시민박업03_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
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
4748외국인관광도시민박업03_11_04_P3450000CDFI226221201600000120160428<NA>3폐업3폐업20180316<NA><NA><NA><NA><NA><NA>대구광역시 북구 칠성동2가 715번지 칠성휴먼시아 107동 403호대구광역시 북구 칠성남로 101, 107동 403호 (칠성동2가, 칠성휴먼시아)41587Flying house20180316165426I2018-08-31 23:59:59.0<NA>343680.311178265487.37503외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>Flying houseForeign 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>
4849외국인관광도시민박업03_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
4950외국인관광도시민박업03_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
5051외국인관광도시민박업03_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
5152외국인관광도시민박업03_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>
5253외국인관광도시민박업03_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
5354외국인관광도시민박업03_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
5455외국인관광도시민박업03_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
5556외국인관광도시민박업03_11_04_P3470000CDFI226221201900000220190712<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 두류동 635-10번지대구광역시 달서구 야외음악당로39안길 60 (두류동)42649레인비앤비(Lane B&B)20190712150400I2019-07-14 02:21:36.0<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>
5657외국인관광도시민박업03_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>