Overview

Dataset statistics

Number of variables63
Number of observations55
Missing cells1593
Missing cells (%)46.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.7 KiB
Average record size in memory552.4 B

Variable types

Numeric11
Categorical20
Text6
Unsupported25
DateTime1

Dataset

Description6270000_대구광역시_03_11_04_P_외국인관광도시민박업_10월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000075505&dataSetDetailId=DDI_0000075546&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
문화체육업종명 has constant value ""Constant
휴업시작일자 is highly imbalanced (86.9%)Imbalance
휴업종료일자 is highly imbalanced (86.9%)Imbalance
주변환경명 is highly imbalanced (50.4%)Imbalance
지하층수 is highly imbalanced (77.5%)Imbalance
건축연면적 is highly imbalanced (77.5%)Imbalance
자본금 is highly imbalanced (83.5%)Imbalance
인허가취소일자 has 55 (100.0%) missing valuesMissing
폐업일자 has 35 (63.6%) missing valuesMissing
재개업일자 has 55 (100.0%) missing valuesMissing
소재지전화 has 49 (89.1%) missing valuesMissing
소재지면적 has 55 (100.0%) missing valuesMissing
소재지우편번호 has 41 (74.5%) missing valuesMissing
도로명우편번호 has 24 (43.6%) missing valuesMissing
업태구분명 has 55 (100.0%) missing valuesMissing
문화사업자구분명 has 55 (100.0%) missing valuesMissing
제작취급품목내용 has 55 (100.0%) missing valuesMissing
보험기관명 has 55 (100.0%) missing valuesMissing
영문상호명 has 41 (74.5%) missing valuesMissing
선박총톤수 has 55 (100.0%) missing valuesMissing
선박척수 has 55 (100.0%) missing valuesMissing
선박제원 has 55 (100.0%) missing valuesMissing
무대면적 has 55 (100.0%) missing valuesMissing
좌석수 has 55 (100.0%) missing valuesMissing
기념품종류 has 55 (100.0%) missing valuesMissing
회의실별동시수용인원 has 55 (100.0%) missing valuesMissing
시설면적 has 14 (25.5%) missing valuesMissing
놀이기구수내역 has 55 (100.0%) missing valuesMissing
놀이시설수 has 55 (100.0%) missing valuesMissing
방송시설유무 has 55 (100.0%) missing valuesMissing
발전시설유무 has 55 (100.0%) missing valuesMissing
의무실유무 has 55 (100.0%) missing valuesMissing
안내소유무 has 55 (100.0%) missing valuesMissing
기획여행보험시작일자 has 55 (100.0%) missing valuesMissing
기획여행보험종료일자 has 55 (100.0%) missing valuesMissing
보험시작일자 has 55 (100.0%) missing valuesMissing
보험종료일자 has 55 (100.0%) missing valuesMissing
부대시설내역 has 55 (100.0%) missing valuesMissing
시설규모 has 14 (25.5%) missing valuesMissing
번호 has unique valuesUnique
도로명전체주소 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 18:50:45.316926
Analysis finished2023-12-10 18:50:46.382696
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-11T03:50:46.531648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.7
Q114.5
median28
Q341.5
95-th percentile52.3
Maximum55
Range54
Interquartile range (IQR)27

Descriptive statistics

Standard deviation16.02082
Coefficient of variation (CV)0.57217214
Kurtosis-1.2
Mean28
Median Absolute Deviation (MAD)14
Skewness0
Sum1540
Variance256.66667
MonotonicityStrictly increasing
2023-12-11T03:50:46.802565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
2 1
 
1.8%
31 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%
Other values (45) 45
81.8%
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 (%)
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%
47 1
1.8%
46 1
1.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
외국인관광도시민박업
55 

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 55
100.0%

Length

2023-12-11T03:50:47.010305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:47.156441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인관광도시민박업 55
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
03_11_04_P
55 

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 55
100.0%

Length

2023-12-11T03:50:47.316098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:47.471546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_11_04_p 55
100.0%

개방자치단체코드
Real number (ℝ)

Distinct6
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3428000
Minimum3410000
Maximum3470000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-11T03:50:47.610643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3420000
Q33440000
95-th percentile3463000
Maximum3470000
Range60000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation20763.215
Coefficient of variation (CV)0.0060569473
Kurtosis-1.0238005
Mean3428000
Median Absolute Deviation (MAD)10000
Skewness0.67652711
Sum1.8854 × 108
Variance4.3111111 × 108
MonotonicityIncreasing
2023-12-11T03:50:47.793429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3410000 26
47.3%
3440000 11
20.0%
3420000 6
 
10.9%
3460000 6
 
10.9%
3450000 3
 
5.5%
3470000 3
 
5.5%
ValueCountFrequency (%)
3410000 26
47.3%
3420000 6
 
10.9%
3440000 11
20.0%
3450000 3
 
5.5%
3460000 6
 
10.9%
3470000 3
 
5.5%
ValueCountFrequency (%)
3470000 3
 
5.5%
3460000 6
 
10.9%
3450000 3
 
5.5%
3440000 11
20.0%
3420000 6
 
10.9%
3410000 26
47.3%

관리번호
Text

Distinct28
Distinct (%)50.9%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-11T03:50:48.116409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1100
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)29.1%

Sample

1st rowCDFI2262212015000005
2nd rowCDFI2262212012000001
3rd rowCDFI2262212012000002
4th rowCDFI2262212012000003
5th rowCDFI2262212013000001
ValueCountFrequency (%)
cdfi2262212019000001 4
 
7.3%
cdfi2262212015000001 4
 
7.3%
cdfi2262212017000001 4
 
7.3%
cdfi2262212018000002 4
 
7.3%
cdfi2262212018000001 4
 
7.3%
cdfi2262212019000002 3
 
5.5%
cdfi2262212017000002 3
 
5.5%
cdfi2262212018000003 3
 
5.5%
cdfi2262212016000001 3
 
5.5%
cdfi2262212015000002 3
 
5.5%
Other values (18) 20
36.4%
2023-12-11T03:50:48.753654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 330
30.0%
2 295
26.8%
1 133
12.1%
6 61
 
5.5%
C 55
 
5.0%
D 55
 
5.0%
F 55
 
5.0%
I 55
 
5.0%
3 14
 
1.3%
5 12
 
1.1%
Other values (4) 35
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 880
80.0%
Uppercase Letter 220
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 330
37.5%
2 295
33.5%
1 133
15.1%
6 61
 
6.9%
3 14
 
1.6%
5 12
 
1.4%
8 11
 
1.2%
9 9
 
1.0%
4 8
 
0.9%
7 7
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 55
25.0%
D 55
25.0%
F 55
25.0%
I 55
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 880
80.0%
Latin 220
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 330
37.5%
2 295
33.5%
1 133
15.1%
6 61
 
6.9%
3 14
 
1.6%
5 12
 
1.4%
8 11
 
1.2%
9 9
 
1.0%
4 8
 
0.9%
7 7
 
0.8%
Latin
ValueCountFrequency (%)
C 55
25.0%
D 55
25.0%
F 55
25.0%
I 55
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 330
30.0%
2 295
26.8%
1 133
12.1%
6 61
 
5.5%
C 55
 
5.0%
D 55
 
5.0%
F 55
 
5.0%
I 55
 
5.0%
3 14
 
1.3%
5 12
 
1.1%
Other values (4) 35
 
3.2%

인허가일자
Real number (ℝ)

Distinct53
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20162971
Minimum20120423
Maximum20191015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-11T03:50:49.039950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20120423
5-th percentile20127480
Q120150410
median20161017
Q320180466
95-th percentile20190707
Maximum20191015
Range70592
Interquartile range (IQR)30056

Descriptive statistics

Standard deviation21027.96
Coefficient of variation (CV)0.0010428999
Kurtosis-0.89095435
Mean20162971
Median Absolute Deviation (MAD)19399
Skewness-0.36471003
Sum1.1089634 × 109
Variance4.421751 × 108
MonotonicityNot monotonic
2023-12-11T03:50:49.416382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150410 2
 
3.6%
20171108 2
 
3.6%
20151217 1
 
1.8%
20150326 1
 
1.8%
20190416 1
 
1.8%
20190225 1
 
1.8%
20190130 1
 
1.8%
20151007 1
 
1.8%
20190919 1
 
1.8%
20190705 1
 
1.8%
Other values (43) 43
78.2%
ValueCountFrequency (%)
20120423 1
1.8%
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%
ValueCountFrequency (%)
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%
20190225 1
1.8%
20190130 1
1.8%
20180919 1
1.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
34 
3
20 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 34
61.8%
3 20
36.4%
2 1
 
1.8%

Length

2023-12-11T03:50:49.676492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:49.842603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 34
61.8%
3 20
36.4%
2 1
 
1.8%

영업상태명
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
영업/정상
34 
폐업
20 
휴업
 
1

Length

Max length5
Median length5
Mean length3.8545455
Min length2

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 34
61.8%
폐업 20
36.4%
휴업 1
 
1.8%

Length

2023-12-11T03:50:50.023045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:50.183561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 34
61.8%
폐업 20
36.4%
휴업 1
 
1.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
13
34 
3
20 
2
 
1

Length

Max length2
Median length2
Mean length1.6181818
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
13 34
61.8%
3 20
36.4%
2 1
 
1.8%

Length

2023-12-11T03:50:50.392928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:50.600589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 34
61.8%
3 20
36.4%
2 1
 
1.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
영업중
34 
폐업
20 
휴업
 
1

Length

Max length3
Median length3
Mean length2.6181818
Min length2

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 34
61.8%
폐업 20
36.4%
휴업 1
 
1.8%

Length

2023-12-11T03:50:50.792923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:50.972277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 34
61.8%
폐업 20
36.4%
휴업 1
 
1.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)90.0%
Missing35
Missing (%)63.6%
Infinite0
Infinite (%)0.0%
Mean20176993
Minimum20140106
Maximum20190807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-11T03:50:51.202190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20140106
5-th percentile20140677
Q120177960
median20180516
Q320190124
95-th percentile20190525
Maximum20190807
Range50701
Interquartile range (IQR)12164.25

Descriptive statistics

Standard deviation16856.67
Coefficient of variation (CV)0.00083544017
Kurtosis1.3832953
Mean20176993
Median Absolute Deviation (MAD)9604.5
Skewness-1.5684974
Sum4.0353985 × 108
Variance2.8414733 × 108
MonotonicityNot monotonic
2023-12-11T03:50:51.425828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20190129 2
 
3.6%
20180321 2
 
3.6%
20190114 1
 
1.8%
20140925 1
 
1.8%
20180330 1
 
1.8%
20190510 1
 
1.8%
20190123 1
 
1.8%
20190315 1
 
1.8%
20140707 1
 
1.8%
20190807 1
 
1.8%
Other values (8) 8
 
14.5%
(Missing) 35
63.6%
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 2
3.6%
20180330 1
1.8%
20180702 1
1.8%
ValueCountFrequency (%)
20190807 1
1.8%
20190510 1
1.8%
20190315 1
1.8%
20190129 2
3.6%
20190123 1
1.8%
20190114 1
1.8%
20181120 1
1.8%
20181029 1
1.8%
20180702 1
1.8%
20180330 1
1.8%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
54 
20170331
 
1

Length

Max length8
Median length4
Mean length4.0727273
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
98.2%
20170331 1
 
1.8%

Length

2023-12-11T03:50:51.648220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:51.843374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
98.2%
20170331 1
 
1.8%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
54 
20180331
 
1

Length

Max length8
Median length4
Mean length4.0727273
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
98.2%
20180331 1
 
1.8%

Length

2023-12-11T03:50:52.024006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:52.188941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
98.2%
20180331 1
 
1.8%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

소재지전화
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing49
Missing (%)89.1%
Memory size572.0 B
2023-12-11T03:50:52.390984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12.5
Mean length12.166667
Min length10

Characters and Unicode

Total characters73
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

Unique6 ?
Unique (%)100.0%

Sample

1st row070-7532-9119
2nd row070-7504-4115
3rd row053-422-6199
4th row070-4623-7718
5th row0532556541
ValueCountFrequency (%)
070-7532-9119 1
16.7%
070-7504-4115 1
16.7%
053-422-6199 1
16.7%
070-4623-7718 1
16.7%
0532556541 1
16.7%
053-756-4368 1
16.7%
2023-12-11T03:50:52.840136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10
13.7%
- 10
13.7%
5 10
13.7%
7 8
11.0%
1 7
9.6%
3 6
8.2%
4 6
8.2%
2 5
6.8%
6 5
6.8%
9 4
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63
86.3%
Dash Punctuation 10
 
13.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10
15.9%
5 10
15.9%
7 8
12.7%
1 7
11.1%
3 6
9.5%
4 6
9.5%
2 5
7.9%
6 5
7.9%
9 4
 
6.3%
8 2
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 73
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10
13.7%
- 10
13.7%
5 10
13.7%
7 8
11.0%
1 7
9.6%
3 6
8.2%
4 6
8.2%
2 5
6.8%
6 5
6.8%
9 4
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10
13.7%
- 10
13.7%
5 10
13.7%
7 8
11.0%
1 7
9.6%
3 6
8.2%
4 6
8.2%
2 5
6.8%
6 5
6.8%
9 4
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)85.7%
Missing41
Missing (%)74.5%
Infinite0
Infinite (%)0.0%
Mean701054.5
Minimum700160
Maximum705822
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-11T03:50:53.032047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700160
5-th percentile700231.5
Q1700340.25
median700811
Q3700823
95-th percentile703222.65
Maximum705822
Range5662
Interquartile range (IQR)482.75

Descriptive statistics

Standard deviation1433.4701
Coefficient of variation (CV)0.0020447342
Kurtosis11.196805
Mean701054.5
Median Absolute Deviation (MAD)218
Skewness3.2409554
Sum9814763
Variance2054836.6
MonotonicityNot monotonic
2023-12-11T03:50:53.230181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
700823 2
 
3.6%
700270 2
 
3.6%
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%
700310 1
 
1.8%
Other values (2) 2
 
3.6%
(Missing) 41
74.5%
ValueCountFrequency (%)
700160 1
1.8%
700270 2
3.6%
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 2
3.6%
700837 1
1.8%
ValueCountFrequency (%)
705822 1
1.8%
701823 1
1.8%
700837 1
1.8%
700823 2
3.6%
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

Distinct53
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-11T03:50:53.988328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length37
Mean length22.145455
Min length14

Characters and Unicode

Total characters1218
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

Unique51 ?
Unique (%)92.7%

Sample

1st row대구광역시 중구 남산동 693-8
2nd row대구광역시 중구 봉산동 135-9번지 2층
3rd row대구광역시 중구 종로2가
4th row대구광역시 중구 문화동 6-13번지 6층
5th row대구광역시 중구 대신동 296-14번지
ValueCountFrequency (%)
대구광역시 55
23.9%
중구 26
 
11.3%
남구 11
 
4.8%
대명동 9
 
3.9%
대봉동 6
 
2.6%
수성구 6
 
2.6%
동구 6
 
2.6%
남산동 4
 
1.7%
봉산동 4
 
1.7%
북구 3
 
1.3%
Other values (91) 100
43.5%
2023-12-11T03:50:54.609850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
227
18.6%
구 110
 
9.0%
대 72
 
5.9%
동 64
 
5.3%
시 56
 
4.6%
광 55
 
4.5%
역 55
 
4.5%
번 49
 
4.0%
지 49
 
4.0%
- 47
 
3.9%
Other values (68) 434
35.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 688
56.5%
Decimal Number 256
 
21.0%
Space Separator 227
 
18.6%
Dash Punctuation 47
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 110
16.0%
대 72
10.5%
동 64
9.3%
시 56
8.1%
광 55
8.0%
역 55
8.0%
번 49
 
7.1%
지 49
 
7.1%
중 27
 
3.9%
남 16
 
2.3%
Other values (56) 135
19.6%
Decimal Number
ValueCountFrequency (%)
1 41
16.0%
3 35
13.7%
2 33
12.9%
4 30
11.7%
6 30
11.7%
5 25
9.8%
0 24
9.4%
7 15
 
5.9%
8 13
 
5.1%
9 10
 
3.9%
Space Separator
ValueCountFrequency (%)
227
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 688
56.5%
Common 530
43.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 110
16.0%
대 72
10.5%
동 64
9.3%
시 56
8.1%
광 55
8.0%
역 55
8.0%
번 49
 
7.1%
지 49
 
7.1%
중 27
 
3.9%
남 16
 
2.3%
Other values (56) 135
19.6%
Common
ValueCountFrequency (%)
227
42.8%
- 47
 
8.9%
1 41
 
7.7%
3 35
 
6.6%
2 33
 
6.2%
4 30
 
5.7%
6 30
 
5.7%
5 25
 
4.7%
0 24
 
4.5%
7 15
 
2.8%
Other values (2) 23
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 688
56.5%
ASCII 530
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
227
42.8%
- 47
 
8.9%
1 41
 
7.7%
3 35
 
6.6%
2 33
 
6.2%
4 30
 
5.7%
6 30
 
5.7%
5 25
 
4.7%
0 24
 
4.5%
7 15
 
2.8%
Other values (2) 23
 
4.3%
Hangul
ValueCountFrequency (%)
구 110
16.0%
대 72
10.5%
동 64
9.3%
시 56
8.1%
광 55
8.0%
역 55
8.0%
번 49
 
7.1%
지 49
 
7.1%
중 27
 
3.9%
남 16
 
2.3%
Other values (56) 135
19.6%

도로명전체주소
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-11T03:50:55.108558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length29.4
Min length20

Characters and Unicode

Total characters1617
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

Unique55 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 명륜로 86, 2층 (남산동)
2nd row대구광역시 중구 봉산문화2길 42-31, 2층 (봉산동)
3rd row대구광역시 중구 진골목길 12 (종로2가)
4th row대구광역시 중구 국채보상로123길 23, 6층 (문화동)
5th row대구광역시 중구 큰장로22길 44-6 (대신동)
ValueCountFrequency (%)
대구광역시 55
 
17.7%
중구 26
 
8.4%
남구 11
 
3.5%
대명동 9
 
2.9%
대봉동 6
 
1.9%
수성구 6
 
1.9%
동구 6
 
1.9%
2층 5
 
1.6%
봉산동 4
 
1.3%
남산동 4
 
1.3%
Other values (154) 179
57.6%
2023-12-11T03:50:55.808714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
256
 
15.8%
구 116
 
7.2%
대 85
 
5.3%
동 75
 
4.6%
1 65
 
4.0%
시 57
 
3.5%
광 55
 
3.4%
역 55
 
3.4%
) 55
 
3.4%
( 55
 
3.4%
Other values (120) 743
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 885
54.7%
Decimal Number 306
 
18.9%
Space Separator 256
 
15.8%
Close Punctuation 55
 
3.4%
Open Punctuation 55
 
3.4%
Dash Punctuation 29
 
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 116
 
13.1%
대 85
 
9.6%
동 75
 
8.5%
시 57
 
6.4%
광 55
 
6.2%
역 55
 
6.2%
로 48
 
5.4%
길 44
 
5.0%
중 29
 
3.3%
남 20
 
2.3%
Other values (102) 301
34.0%
Decimal Number
ValueCountFrequency (%)
1 65
21.2%
2 52
17.0%
3 43
14.1%
4 35
11.4%
0 29
9.5%
6 27
8.8%
5 17
 
5.6%
8 15
 
4.9%
9 13
 
4.2%
7 10
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
N 1
50.0%
Space Separator
ValueCountFrequency (%)
256
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 885
54.7%
Common 730
45.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 116
 
13.1%
대 85
 
9.6%
동 75
 
8.5%
시 57
 
6.4%
광 55
 
6.2%
역 55
 
6.2%
로 48
 
5.4%
길 44
 
5.0%
중 29
 
3.3%
남 20
 
2.3%
Other values (102) 301
34.0%
Common
ValueCountFrequency (%)
256
35.1%
1 65
 
8.9%
) 55
 
7.5%
( 55
 
7.5%
2 52
 
7.1%
3 43
 
5.9%
4 35
 
4.8%
0 29
 
4.0%
- 29
 
4.0%
, 28
 
3.8%
Other values (6) 83
 
11.4%
Latin
ValueCountFrequency (%)
I 1
50.0%
N 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 885
54.7%
ASCII 732
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
256
35.0%
1 65
 
8.9%
) 55
 
7.5%
( 55
 
7.5%
2 52
 
7.1%
3 43
 
5.9%
4 35
 
4.8%
0 29
 
4.0%
- 29
 
4.0%
, 28
 
3.8%
Other values (8) 85
 
11.6%
Hangul
ValueCountFrequency (%)
구 116
 
13.1%
대 85
 
9.6%
동 75
 
8.5%
시 57
 
6.4%
광 55
 
6.2%
역 55
 
6.2%
로 48
 
5.4%
길 44
 
5.0%
중 29
 
3.3%
남 20
 
2.3%
Other values (102) 301
34.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)93.5%
Missing24
Missing (%)43.6%
Infinite0
Infinite (%)0.0%
Mean42006.032
Minimum41001
Maximum42649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-11T03:50:56.010718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001
5-th percentile41133.5
Q141755
median42045
Q342441
95-th percentile42571.5
Maximum42649
Range1648
Interquartile range (IQR)686

Descriptive statistics

Standard deviation487.85452
Coefficient of variation (CV)0.011613916
Kurtosis-0.6066994
Mean42006.032
Median Absolute Deviation (MAD)403
Skewness-0.6678934
Sum1302187
Variance238002.03
MonotonicityNot monotonic
2023-12-11T03:50:56.204075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
42490 2
 
3.6%
41958 2
 
3.6%
41948 1
 
1.8%
42418 1
 
1.8%
42649 1
 
1.8%
42644 1
 
1.8%
42247 1
 
1.8%
42085 1
 
1.8%
42166 1
 
1.8%
42045 1
 
1.8%
Other values (19) 19
34.5%
(Missing) 24
43.6%
ValueCountFrequency (%)
41001 1
1.8%
41112 1
1.8%
41155 1
1.8%
41217 1
1.8%
41224 1
1.8%
41536 1
1.8%
41587 1
1.8%
41591 1
1.8%
41919 1
1.8%
41948 1
1.8%
ValueCountFrequency (%)
42649 1
1.8%
42644 1
1.8%
42499 1
1.8%
42490 2
3.6%
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

Distinct53
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-11T03:50:56.557291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length9.5090909
Min length3

Characters and Unicode

Total characters523
Distinct characters148
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

Unique51 ?
Unique (%)92.7%

Sample

1st row캐주얼하우스 소노
2nd row다님백패커스
3rd row다님 하늘배 게스트하우스
4th row대구 피터팬 게스트하우스
5th row소담정
ValueCountFrequency (%)
게스트하우스 15
 
15.2%
house 7
 
7.1%
the 2
 
2.0%
of 2
 
2.0%
gallery 2
 
2.0%
글렌즈 2
 
2.0%
집 2
 
2.0%
강변 1
 
1.0%
좋은 1
 
1.0%
사람이 1
 
1.0%
Other values (64) 64
64.6%
2023-12-11T03:50:57.065072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 57
 
10.9%
45
 
8.6%
하 34
 
6.5%
우 30
 
5.7%
트 24
 
4.6%
게 23
 
4.4%
e 16
 
3.1%
o 10
 
1.9%
u 9
 
1.7%
s 9
 
1.7%
Other values (138) 266
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 324
62.0%
Lowercase Letter 96
 
18.4%
Space Separator 45
 
8.6%
Uppercase Letter 36
 
6.9%
Close Punctuation 8
 
1.5%
Open 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 57
17.6%
하 34
 
10.5%
우 30
 
9.3%
트 24
 
7.4%
게 23
 
7.1%
이 5
 
1.5%
라 5
 
1.5%
레 3
 
0.9%
마 3
 
0.9%
리 3
 
0.9%
Other values (97) 137
42.3%
Uppercase Letter
ValueCountFrequency (%)
S 5
13.9%
E 4
11.1%
B 3
 
8.3%
H 3
 
8.3%
T 3
 
8.3%
P 3
 
8.3%
A 2
 
5.6%
G 2
 
5.6%
J 1
 
2.8%
U 1
 
2.8%
Other values (9) 9
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 16
16.7%
o 10
10.4%
u 9
9.4%
s 9
9.4%
h 8
8.3%
l 7
7.3%
g 6
 
6.2%
n 6
 
6.2%
a 6
 
6.2%
i 5
 
5.2%
Other values (6) 14
14.6%
Space Separator
ValueCountFrequency (%)
45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open 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 324
62.0%
Latin 133
25.4%
Common 66
 
12.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 57
17.6%
하 34
 
10.5%
우 30
 
9.3%
트 24
 
7.4%
게 23
 
7.1%
이 5
 
1.5%
라 5
 
1.5%
레 3
 
0.9%
마 3
 
0.9%
리 3
 
0.9%
Other values (97) 137
42.3%
Latin
ValueCountFrequency (%)
e 16
 
12.0%
o 10
 
7.5%
u 9
 
6.8%
s 9
 
6.8%
h 8
 
6.0%
l 7
 
5.3%
g 6
 
4.5%
n 6
 
4.5%
a 6
 
4.5%
i 5
 
3.8%
Other values (26) 51
38.3%
Common
ValueCountFrequency (%)
45
68.2%
) 8
 
12.1%
( 8
 
12.1%
& 4
 
6.1%
` 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 324
62.0%
ASCII 198
37.9%
Number Forms 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 57
17.6%
하 34
 
10.5%
우 30
 
9.3%
트 24
 
7.4%
게 23
 
7.1%
이 5
 
1.5%
라 5
 
1.5%
레 3
 
0.9%
마 3
 
0.9%
리 3
 
0.9%
Other values (97) 137
42.3%
ASCII
ValueCountFrequency (%)
45
22.7%
e 16
 
8.1%
o 10
 
5.1%
u 9
 
4.5%
s 9
 
4.5%
h 8
 
4.0%
) 8
 
4.0%
( 8
 
4.0%
l 7
 
3.5%
g 6
 
3.0%
Other values (30) 72
36.4%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0179375 × 1013
Minimum2.0140106 × 1013
Maximum2.0191016 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-11T03:50:57.303073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0140106 × 1013
5-th percentile2.014105 × 1013
Q12.0171108 × 1013
median2.0180919 × 1013
Q32.0190612 × 1013
95-th percentile2.019092 × 1013
Maximum2.0191016 × 1013
Range5.0910003 × 1010
Interquartile range (IQR)1.9504034 × 1010

Descriptive statistics

Standard deviation1.4587721 × 1010
Coefficient of variation (CV)0.00072290253
Kurtosis1.5657924
Mean2.0179375 × 1013
Median Absolute Deviation (MAD)9.7089581 × 109
Skewness-1.4988734
Sum1.1098656 × 1015
Variance2.1280161 × 1020
MonotonicityNot monotonic
2023-12-11T03:50:57.527039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151217104715 1
 
1.8%
20180321091508 1
 
1.8%
20181120170641 1
 
1.8%
20190709162500 1
 
1.8%
20171108133548 1
 
1.8%
20190225175518 1
 
1.8%
20190701094716 1
 
1.8%
20171010142411 1
 
1.8%
20190919102120 1
 
1.8%
20190903140136 1
 
1.8%
Other values (45) 45
81.8%
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 (%)
20191016144641 1
1.8%
20191015140816 1
1.8%
20190923170823 1
1.8%
20190919102120 1
1.8%
20190903140136 1
1.8%
20190807110029 1
1.8%
20190712150400 1
1.8%
20190709162500 1
1.8%
20190703171830 1
1.8%
20190701094716 1
1.8%

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
I
33 
U
22 

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 (%)
I 33
60.0%
U 22
40.0%

Length

2023-12-11T03:50:57.750751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:57.876865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 33
60.0%
u 22
40.0%

데이터갱신일자
Date

Distinct26
Distinct (%)47.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2018-08-31 23:59:59
Maximum2019-10-18 02:40:00
2023-12-11T03:50:58.014844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:50:58.198991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

좌표정보(X)
Real number (ℝ)

Distinct53
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344434
Minimum339049.96
Maximum354462.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-11T03:50:58.441425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum339049.96
5-th percentile340631.36
Q1343220.86
median344068.26
Q3345082.42
95-th percentile348598.76
Maximum354462.36
Range15412.398
Interquartile range (IQR)1861.5628

Descriptive statistics

Standard deviation2509.3021
Coefficient of variation (CV)0.0072852915
Kurtosis3.9284968
Mean344434
Median Absolute Deviation (MAD)1014.1593
Skewness1.1353068
Sum18943870
Variance6296596.9
MonotonicityNot monotonic
2023-12-11T03:50:58.685887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344976.101155 2
 
3.6%
345082.421389 2
 
3.6%
343879.713037 1
 
1.8%
344961.098103 1
 
1.8%
342243.89942 1
 
1.8%
341995.532871 1
 
1.8%
345053.536451 1
 
1.8%
344027.589811 1
 
1.8%
343842.48902 1
 
1.8%
343224.63036 1
 
1.8%
Other values (43) 43
78.2%
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%
347150.389907 1
1.8%
347001.833522 1
1.8%
346939.381392 1
1.8%
346501.616179 1
1.8%

좌표정보(Y)
Real number (ℝ)

Distinct53
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263629.57
Minimum258390.06
Maximum276507.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-11T03:50:58.904406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum258390.06
5-th percentile260412.69
Q1262432.36
median263557.86
Q3264592.9
95-th percentile266412.84
Maximum276507.53
Range18117.465
Interquartile range (IQR)2160.5393

Descriptive statistics

Standard deviation2507.427
Coefficient of variation (CV)0.0095111751
Kurtosis12.216129
Mean263629.57
Median Absolute Deviation (MAD)1117.6372
Skewness2.3339966
Sum14499626
Variance6287190.2
MonotonicityNot monotonic
2023-12-11T03:50:59.126036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263491.050061 2
 
3.6%
263767.98034 2
 
3.6%
263432.678243 1
 
1.8%
267457.503823 1
 
1.8%
260531.029145 1
 
1.8%
261545.353531 1
 
1.8%
262713.424359 1
 
1.8%
261039.870033 1
 
1.8%
262291.01251 1
 
1.8%
261447.156212 1
 
1.8%
Other values (43) 43
78.2%
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%
264899.23092 1
1.8%
264830.438045 1
1.8%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
외국인관광 도시민박업
55 

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 55
100.0%

Length

2023-12-11T03:50:59.303455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:59.435630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외국인관광 55
50.0%
도시민박업 55
50.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

지역구분명
Categorical

Distinct9
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
22 
일반주거지역
14 
주거지역
5 
중심상업지역
4 
준주거지역
4 
Other values (4)
6 

Length

Max length6
Median length5
Mean length4.9454545
Min length4

Unique

Unique3 ?
Unique (%)5.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
40.0%
일반주거지역 14
25.5%
주거지역 5
 
9.1%
중심상업지역 4
 
7.3%
준주거지역 4
 
7.3%
일반상업지역 3
 
5.5%
근린상업지역 1
 
1.8%
자연녹지지역 1
 
1.8%
전용주거지역 1
 
1.8%

Length

2023-12-11T03:50:59.618453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:50:59.805239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
40.0%
일반주거지역 14
25.5%
주거지역 5
 
9.1%
중심상업지역 4
 
7.3%
준주거지역 4
 
7.3%
일반상업지역 3
 
5.5%
근린상업지역 1
 
1.8%
자연녹지지역 1
 
1.8%
전용주거지역 1
 
1.8%

총층수
Categorical

Distinct5
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
30 
1
11 
3
6 
2
5 
4
 
3

Length

Max length4
Median length4
Mean length2.6363636
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> 30
54.5%
1 11
 
20.0%
3 6
 
10.9%
2 5
 
9.1%
4 3
 
5.5%

Length

2023-12-11T03:50:59.972847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:51:00.128195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
54.5%
1 11
 
20.0%
3 6
 
10.9%
2 5
 
9.1%
4 3
 
5.5%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
44 
주택가주변
5 
학교정화(상대)
5 
아파트지역
 
1

Length

Max length8
Median length4
Mean length4.4727273
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> 44
80.0%
주택가주변 5
 
9.1%
학교정화(상대) 5
 
9.1%
아파트지역 1
 
1.8%

Length

2023-12-11T03:51:00.322882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:51:00.501915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
80.0%
주택가주변 5
 
9.1%
학교정화(상대 5
 
9.1%
아파트지역 1
 
1.8%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

건물용도명
Categorical

Distinct8
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
단독주택
24 
<NA>
14 
다가구용 주택(공동주택적용)
8 
아파트
4 
다세대주택
 
2
Other values (3)
3 

Length

Max length15
Median length4
Mean length5.5818182
Min length3

Unique

Unique3 ?
Unique (%)5.5%

Sample

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

Common Values

ValueCountFrequency (%)
단독주택 24
43.6%
<NA> 14
25.5%
다가구용 주택(공동주택적용) 8
 
14.5%
아파트 4
 
7.3%
다세대주택 2
 
3.6%
연립주택 1
 
1.8%
사무실 1
 
1.8%
근린생활시설 1
 
1.8%

Length

2023-12-11T03:51:00.659232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:51:00.818345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독주택 24
38.1%
na 14
22.2%
다가구용 8
 
12.7%
주택(공동주택적용 8
 
12.7%
아파트 4
 
6.3%
다세대주택 2
 
3.2%
연립주택 1
 
1.6%
사무실 1
 
1.6%
근린생활시설 1
 
1.6%

지상층수
Categorical

Distinct6
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
34 
2
8 
3
5 
1
4 
4
 
3

Length

Max length4
Median length4
Mean length2.8545455
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
61.8%
2 8
 
14.5%
3 5
 
9.1%
1 4
 
7.3%
4 3
 
5.5%
9 1
 
1.8%

Length

2023-12-11T03:51:01.026017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:51:01.223175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
61.8%
2 8
 
14.5%
3 5
 
9.1%
1 4
 
7.3%
4 3
 
5.5%
9 1
 
1.8%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
53 
1
 
2

Length

Max length4
Median length4
Mean length3.8909091
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> 53
96.4%
1 2
 
3.6%

Length

2023-12-11T03:51:01.409270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:51:01.552609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
96.4%
1 2
 
3.6%

객실수
Categorical

Distinct5
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
40 
2
7 
1
 
4
3
 
3
5
 
1

Length

Max length4
Median length4
Mean length3.1818182
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> 40
72.7%
2 7
 
12.7%
1 4
 
7.3%
3 3
 
5.5%
5 1
 
1.8%

Length

2023-12-11T03:51:01.678756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:51:01.801389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
72.7%
2 7
 
12.7%
1 4
 
7.3%
3 3
 
5.5%
5 1
 
1.8%

건축연면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
54
 
1
270
 
1
53
 
1
154
 
1

Length

Max length4
Median length4
Mean length3.8909091
Min length2

Unique

Unique4 ?
Unique (%)7.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
92.7%
54 1
 
1.8%
270 1
 
1.8%
53 1
 
1.8%
154 1
 
1.8%

Length

2023-12-11T03:51:01.941542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:51:02.087408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
54 1
 
1.8%
270 1
 
1.8%
53 1
 
1.8%
154 1
 
1.8%

영문상호명
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing41
Missing (%)74.5%
Memory size572.0 B
2023-12-11T03:51:02.266235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length14.214286
Min length4

Characters and Unicode

Total characters199
Distinct characters36
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

Unique14 ?
Unique (%)100.0%

Sample

1st rowCASUAL HOUSE SONO
2nd rowDanim Skyboat Guesthouse
3rd rowglenn's guesthouse
4th rowSEINE GUESTHOUSE
5th rowEDEN
ValueCountFrequency (%)
house 5
 
16.1%
guesthouse 3
 
9.7%
guest 2
 
6.5%
casual 1
 
3.2%
sara's 1
 
3.2%
houst 1
 
3.2%
gues 1
 
3.2%
daegu 1
 
3.2%
vesta 1
 
3.2%
family 1
 
3.2%
Other values (14) 14
45.2%
2023-12-11T03:51:02.616910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
8.5%
E 14
 
7.0%
e 13
 
6.5%
s 13
 
6.5%
S 12
 
6.0%
u 12
 
6.0%
N 9
 
4.5%
o 8
 
4.0%
O 8
 
4.0%
U 7
 
3.5%
Other values (26) 86
43.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 93
46.7%
Uppercase Letter 86
43.2%
Space Separator 17
 
8.5%
Other Punctuation 3
 
1.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 14
16.3%
S 12
14.0%
N 9
10.5%
O 8
9.3%
U 7
8.1%
A 7
8.1%
H 6
7.0%
G 5
 
5.8%
D 4
 
4.7%
T 3
 
3.5%
Other values (7) 11
12.8%
Lowercase Letter
ValueCountFrequency (%)
e 13
14.0%
s 13
14.0%
u 12
12.9%
o 8
8.6%
h 6
 
6.5%
t 6
 
6.5%
i 6
 
6.5%
g 5
 
5.4%
n 5
 
5.4%
a 4
 
4.3%
Other values (7) 15
16.1%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Punctuation
ValueCountFrequency (%)
' 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 179
89.9%
Common 20
 
10.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 14
 
7.8%
e 13
 
7.3%
s 13
 
7.3%
S 12
 
6.7%
u 12
 
6.7%
N 9
 
5.0%
o 8
 
4.5%
O 8
 
4.5%
U 7
 
3.9%
A 7
 
3.9%
Other values (24) 76
42.5%
Common
ValueCountFrequency (%)
17
85.0%
' 3
 
15.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 199
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
 
8.5%
E 14
 
7.0%
e 13
 
6.5%
s 13
 
6.5%
S 12
 
6.0%
u 12
 
6.0%
N 9
 
4.5%
o 8
 
4.0%
O 8
 
4.0%
U 7
 
3.5%
Other values (26) 86
43.2%

영문상호주소
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
42 
Foreign tourist city private rental room service
8 
Homestay Business
5 

Length

Max length48
Median length4
Mean length11.581818
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
76.4%
Foreign tourist city private rental room service 8
 
14.5%
Homestay Business 5
 
9.1%

Length

2023-12-11T03:51:02.751538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:51:02.875947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
38.9%
foreign 8
 
7.4%
tourist 8
 
7.4%
city 8
 
7.4%
private 8
 
7.4%
rental 8
 
7.4%
room 8
 
7.4%
service 8
 
7.4%
homestay 5
 
4.6%
business 5
 
4.6%

선박총톤수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

선박척수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

무대면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

좌석수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

회의실별동시수용인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

시설면적
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)97.6%
Missing14
Missing (%)25.5%
Infinite0
Infinite (%)0.0%
Mean106.95512
Minimum16
Maximum215.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-11T03:51:03.028205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile26
Q156.1
median101.28
Q3154.17
95-th percentile195.44
Maximum215.21
Range199.21
Interquartile range (IQR)98.07

Descriptive statistics

Standard deviation56.623633
Coefficient of variation (CV)0.52941488
Kurtosis-0.97651827
Mean106.95512
Median Absolute Deviation (MAD)48.38
Skewness0.30475295
Sum4385.16
Variance3206.2358
MonotonicityNot monotonic
2023-12-11T03:51:03.192526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
114.48 2
 
3.6%
158.14 1
 
1.8%
111.78 1
 
1.8%
125.0 1
 
1.8%
94.47 1
 
1.8%
52.23 1
 
1.8%
180.77 1
 
1.8%
96.53 1
 
1.8%
101.28 1
 
1.8%
204.99 1
 
1.8%
Other values (30) 30
54.5%
(Missing) 14
25.5%
ValueCountFrequency (%)
16.0 1
1.8%
20.8 1
1.8%
26.0 1
1.8%
31.17 1
1.8%
39.37 1
1.8%
49.85 1
1.8%
52.18 1
1.8%
52.23 1
1.8%
52.9 1
1.8%
54.11 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%
159.3 1
1.8%
158.14 1
1.8%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

놀이시설수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

자본금
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
53 
100000000
 
1
70000000
 
1

Length

Max length9
Median length4
Mean length4.1636364
Min length4

Unique

Unique2 ?
Unique (%)3.6%

Sample

1st row<NA>
2nd row100000000
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 53
96.4%
100000000 1
 
1.8%
70000000 1
 
1.8%

Length

2023-12-11T03:51:03.391222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:51:03.517545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
96.4%
100000000 1
 
1.8%
70000000 1
 
1.8%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)87.8%
Missing14
Missing (%)25.5%
Infinite0
Infinite (%)0.0%
Mean106.92683
Minimum16
Maximum215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-11T03:51:03.639912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile26
Q156
median101
Q3154
95-th percentile195
Maximum215
Range199
Interquartile range (IQR)98

Descriptive statistics

Standard deviation56.600526
Coefficient of variation (CV)0.52933886
Kurtosis-0.97546361
Mean106.92683
Median Absolute Deviation (MAD)48
Skewness0.3050023
Sum4384
Variance3203.6195
MonotonicityNot monotonic
2023-12-11T03:51:04.068539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
114 3
 
5.5%
94 2
 
3.6%
188 2
 
3.6%
52 2
 
3.6%
21 1
 
1.8%
16 1
 
1.8%
154 1
 
1.8%
151 1
 
1.8%
111 1
 
1.8%
50 1
 
1.8%
Other values (26) 26
47.3%
(Missing) 14
25.5%
ValueCountFrequency (%)
16 1
1.8%
21 1
1.8%
26 1
1.8%
31 1
1.8%
39 1
1.8%
50 1
1.8%
52 2
3.6%
53 1
1.8%
54 1
1.8%
56 1
1.8%
ValueCountFrequency (%)
215 1
1.8%
205 1
1.8%
195 1
1.8%
191 1
1.8%
188 2
3.6%
187 1
1.8%
181 1
1.8%
159 1
1.8%
158 1
1.8%
154 1
1.8%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01외국인관광도시민박업03_11_04_P3410000CDFI226221201500000520151217<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 693-8대구광역시 중구 명륜로 86, 2층 (남산동)<NA>캐주얼하우스 소노20151217104715I2018-08-31 23:59:59.0<NA>343879.713037263432.678243외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>CASUAL HOUSE SONOForeign 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>
12외국인관광도시민박업03_11_04_P3410000CDFI226221201200000120120423<NA>3폐업3폐업20180321<NA><NA><NA>070-7532-9119<NA>700823대구광역시 중구 봉산동 135-9번지 2층대구광역시 중구 봉산문화2길 42-31, 2층 (봉산동)<NA>다님백패커스20180321091508I2018-08-31 23:59:59.0<NA>344250.621444263711.931696외국인관광 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>100000000<NA><NA><NA><NA>
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_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
910외국인관광도시민박업03_11_04_P3410000CDFI226221201500000220150410<NA>3폐업3폐업20190123<NA><NA><NA><NA><NA>700755대구광역시 중구 대봉동 60-10번지대구광역시 중구 대봉로 260 (대봉동)<NA>윤게스트하우스20190123132647U2019-01-25 02:40:00.0<NA>344584.149436263593.636812외국인관광 도시민박업<NA>중심상업지역1학교정화(상대)<NA><NA>사무실1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20.8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>21
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
4546외국인관광도시민박업03_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>
4647외국인관광도시민박업03_11_04_P3460000CDFI226221201500000120150528<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 황금동 860번지 904호대구광역시 수성구 동대구로25길 24-11 (황금동, 황금동해피하우스2IN1)42149해피하우스(HAPPY HOUSE)20190612161740U2019-06-14 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>49.85<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50
4748외국인관광도시민박업03_11_04_P3460000CDFI226221201500000220150730<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 만촌동 657-6번지대구광역시 수성구 국채보상로209길 48-2 (만촌동)42045스마일 게스트 하우스20191016144641U2019-10-18 02:40:00.0<NA>348401.305235264513.015082외국인관광 도시민박업<NA><NA><NA><NA><NA><NA><NA><NA><NA>3<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
4849외국인관광도시민박업03_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
4950외국인관광도시민박업03_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>
5051외국인관광도시민박업03_11_04_P3460000CDFI226221201400000120140804<NA>3폐업3폐업20190129<NA><NA><NA><NA><NA><NA>대구광역시 수성구 범어동 195-8번지대구광역시 수성구 달구벌대로488안길 32 (범어동)42085Meeting & healing(만남과 힐링)20190129162143U2019-01-31 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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5152외국인관광도시민박업03_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
5253외국인관광도시민박업03_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
5354외국인관광도시민박업03_11_04_P3470000CDFI226221201900000120190319<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 감삼동 113-25번지대구광역시 달서구 감삼북길 29-30 (감삼동)42644세하빌리지20190319142735I2019-03-21 02:21:57.0<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>
5455외국인관광도시민박업03_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>