Overview

Dataset statistics

Number of variables50
Number of observations1746
Missing cells14941
Missing cells (%)17.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory736.7 KiB
Average record size in memory432.1 B

Variable types

Numeric17
Categorical19
Text7
Unsupported4
DateTime1
Boolean2

Dataset

Description6270000_대구광역시_03_11_03_P_숙박업_7월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000085677&dataSetDetailId=DDI_0000085753&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
발한실여부 has constant value ""Constant
조건부허가신고사유 has constant value ""Constant
업태구분명 is highly imbalanced (54.6%)Imbalance
위생업태명 is highly imbalanced (57.9%)Imbalance
조건부허가시작일자 is highly imbalanced (99.3%)Imbalance
조건부허가종료일자 is highly imbalanced (99.3%)Imbalance
남성종사자수 is highly imbalanced (89.9%)Imbalance
침대수 is highly imbalanced (57.7%)Imbalance
다중이용업소여부 is highly imbalanced (97.2%)Imbalance
인허가취소일자 has 1746 (100.0%) missing valuesMissing
폐업일자 has 799 (45.8%) missing valuesMissing
휴업시작일자 has 1746 (100.0%) missing valuesMissing
휴업종료일자 has 1746 (100.0%) missing valuesMissing
재개업일자 has 1746 (100.0%) missing valuesMissing
소재지전화 has 100 (5.7%) missing valuesMissing
도로명전체주소 has 610 (34.9%) missing valuesMissing
도로명우편번호 has 636 (36.4%) missing valuesMissing
좌표정보(X) has 109 (6.2%) missing valuesMissing
좌표정보(Y) has 109 (6.2%) missing valuesMissing
건물지상층수 has 186 (10.7%) missing valuesMissing
건물지하층수 has 376 (21.5%) missing valuesMissing
사용시작지상층 has 323 (18.5%) missing valuesMissing
사용끝지상층 has 379 (21.7%) missing valuesMissing
한실수 has 162 (9.3%) missing valuesMissing
양실수 has 190 (10.9%) missing valuesMissing
좌석수 has 533 (30.5%) missing valuesMissing
조건부허가신고사유 has 1745 (99.9%) missing valuesMissing
여성종사자수 has 1676 (96.0%) missing valuesMissing
좌석수 is highly skewed (γ1 = 29.65194535)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물지상층수 has 309 (17.7%) zerosZeros
건물지하층수 has 615 (35.2%) zerosZeros
사용시작지상층 has 423 (24.2%) zerosZeros
사용끝지상층 has 270 (15.5%) zerosZeros
한실수 has 436 (25.0%) zerosZeros
양실수 has 182 (10.4%) zerosZeros
좌석수 has 1205 (69.0%) zerosZeros
여성종사자수 has 36 (2.1%) zerosZeros

Reproduction

Analysis started2023-12-10 18:42:21.117011
Analysis finished2023-12-10 18:42:22.794919
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1746
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean873.5
Minimum1
Maximum1746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T03:42:22.926360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88.25
Q1437.25
median873.5
Q31309.75
95-th percentile1658.75
Maximum1746
Range1745
Interquartile range (IQR)872.5

Descriptive statistics

Standard deviation504.1711
Coefficient of variation (CV)0.57718501
Kurtosis-1.2
Mean873.5
Median Absolute Deviation (MAD)436.5
Skewness0
Sum1525131
Variance254188.5
MonotonicityStrictly increasing
2023-12-11T03:42:23.117825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1162 1
 
0.1%
1173 1
 
0.1%
1172 1
 
0.1%
1171 1
 
0.1%
1170 1
 
0.1%
1169 1
 
0.1%
1168 1
 
0.1%
1167 1
 
0.1%
1166 1
 
0.1%
Other values (1736) 1736
99.4%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1746 1
0.1%
1745 1
0.1%
1744 1
0.1%
1743 1
0.1%
1742 1
0.1%
1741 1
0.1%
1740 1
0.1%
1739 1
0.1%
1738 1
0.1%
1737 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
숙박업
1746 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
숙박업 1746
100.0%

Length

2023-12-11T03:42:23.314643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:23.484331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숙박업 1746
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
03_11_03_P
1746 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_11_03_P
2nd row03_11_03_P
3rd row03_11_03_P
4th row03_11_03_P
5th row03_11_03_P

Common Values

ValueCountFrequency (%)
03_11_03_P 1746
100.0%

Length

2023-12-11T03:42:23.663160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:23.848142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_11_03_p 1746
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3437880.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T03:42:24.039469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3430000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21570.956
Coefficient of variation (CV)0.006274492
Kurtosis-1.1503043
Mean3437880.9
Median Absolute Deviation (MAD)20000
Skewness0.40724141
Sum6.00254 × 109
Variance4.6530614 × 108
MonotonicityIncreasing
2023-12-11T03:42:24.325629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3420000 427
24.5%
3430000 301
17.2%
3410000 240
13.7%
3450000 206
11.8%
3470000 203
11.6%
3460000 191
10.9%
3440000 101
 
5.8%
3480000 77
 
4.4%
ValueCountFrequency (%)
3410000 240
13.7%
3420000 427
24.5%
3430000 301
17.2%
3440000 101
 
5.8%
3450000 206
11.8%
3460000 191
10.9%
3470000 203
11.6%
3480000 77
 
4.4%
ValueCountFrequency (%)
3480000 77
 
4.4%
3470000 203
11.6%
3460000 191
10.9%
3450000 206
11.8%
3440000 101
 
5.8%
3430000 301
17.2%
3420000 427
24.5%
3410000 240
13.7%

관리번호
Text

UNIQUE 

Distinct1746
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
2023-12-11T03:42:25.152555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters38412
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

Unique1746 ?
Unique (%)100.0%

Sample

1st row3410000-201-2015-00001
2nd row3410000-201-2008-00002
3rd row3410000-201-2016-00001
4th row3410000-201-1986-00001
5th row3410000-201-1963-00001
ValueCountFrequency (%)
3410000-201-2015-00001 1
 
0.1%
3450000-201-1996-00025 1
 
0.1%
3450000-201-2001-00008 1
 
0.1%
3450000-201-2001-00029 1
 
0.1%
3450000-201-2001-00026 1
 
0.1%
3450000-201-2001-00025 1
 
0.1%
3450000-201-2001-00024 1
 
0.1%
3450000-201-2001-00021 1
 
0.1%
3450000-201-2000-00004 1
 
0.1%
3450000-201-1999-00011 1
 
0.1%
Other values (1736) 1736
99.4%
2023-12-11T03:42:25.931216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16756
43.6%
- 5238
 
13.6%
1 3932
 
10.2%
2 3605
 
9.4%
3 2715
 
7.1%
4 2246
 
5.8%
9 1496
 
3.9%
7 773
 
2.0%
8 601
 
1.6%
6 554
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33174
86.4%
Dash Punctuation 5238
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16756
50.5%
1 3932
 
11.9%
2 3605
 
10.9%
3 2715
 
8.2%
4 2246
 
6.8%
9 1496
 
4.5%
7 773
 
2.3%
8 601
 
1.8%
6 554
 
1.7%
5 496
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 5238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38412
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16756
43.6%
- 5238
 
13.6%
1 3932
 
10.2%
2 3605
 
9.4%
3 2715
 
7.1%
4 2246
 
5.8%
9 1496
 
3.9%
7 773
 
2.0%
8 601
 
1.6%
6 554
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38412
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16756
43.6%
- 5238
 
13.6%
1 3932
 
10.2%
2 3605
 
9.4%
3 2715
 
7.1%
4 2246
 
5.8%
9 1496
 
3.9%
7 773
 
2.0%
8 601
 
1.6%
6 554
 
1.4%

인허가일자
Real number (ℝ)

Distinct1259
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19955398
Minimum19601112
Maximum20200625
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T03:42:26.212859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19601112
5-th percentile19730549
Q119870730
median20000314
Q320030718
95-th percentile20120715
Maximum20200625
Range599513
Interquartile range (IQR)159988

Descriptive statistics

Standard deviation115830.85
Coefficient of variation (CV)0.005804487
Kurtosis-0.030402208
Mean19955398
Median Absolute Deviation (MAD)30792.5
Skewness-0.75508174
Sum3.4842124 × 1010
Variance1.3416785 × 1010
MonotonicityNot monotonic
2023-12-11T03:42:26.502687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030718 131
 
7.5%
19961218 34
 
1.9%
19970108 19
 
1.1%
19970123 17
 
1.0%
20030801 15
 
0.9%
19970124 14
 
0.8%
20030805 12
 
0.7%
20030826 11
 
0.6%
19970306 8
 
0.5%
19970129 8
 
0.5%
Other values (1249) 1477
84.6%
ValueCountFrequency (%)
19601112 1
0.1%
19630401 1
0.1%
19630611 1
0.1%
19630826 1
0.1%
19631102 1
0.1%
19631112 2
0.1%
19640101 1
0.1%
19640115 1
0.1%
19641009 1
0.1%
19641027 1
0.1%
ValueCountFrequency (%)
20200625 1
0.1%
20200312 1
0.1%
20191128 1
0.1%
20191030 1
0.1%
20191014 1
0.1%
20191010 2
0.1%
20191008 2
0.1%
20191004 1
0.1%
20190927 1
0.1%
20190807 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1746
Missing (%)100.0%
Memory size15.5 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
3
949 
1
797 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 949
54.4%
1 797
45.6%

Length

2023-12-11T03:42:26.751274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:26.921067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 949
54.4%
1 797
45.6%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
폐업
949 
영업/정상
797 

Length

Max length5
Median length2
Mean length3.3694158
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 949
54.4%
영업/정상 797
45.6%

Length

2023-12-11T03:42:27.109637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:27.293884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 949
54.4%
영업/정상 797
45.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
2
949 
1
797 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 949
54.4%
1 797
45.6%

Length

2023-12-11T03:42:27.493864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:27.693590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 949
54.4%
1 797
45.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
폐업
949 
영업
797 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 949
54.4%
영업 797
45.6%

Length

2023-12-11T03:42:27.917830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:28.155732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 949
54.4%
영업 797
45.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct728
Distinct (%)76.9%
Missing799
Missing (%)45.8%
Infinite0
Infinite (%)0.0%
Mean20096276
Minimum20000430
Maximum20200730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T03:42:28.388677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000430
5-th percentile20030313
Q120040721
median20071126
Q320160172
95-th percentile20191231
Maximum20200730
Range200300
Interquartile range (IQR)119450.5

Descriptive statistics

Standard deviation60781.109
Coefficient of variation (CV)0.0030244961
Kurtosis-1.3382057
Mean20096276
Median Absolute Deviation (MAD)40104
Skewness0.41767151
Sum1.9031173 × 1010
Variance3.6943432 × 109
MonotonicityNot monotonic
2023-12-11T03:42:28.669194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030718 20
 
1.1%
20050117 12
 
0.7%
20031128 11
 
0.6%
20031230 10
 
0.6%
20031222 9
 
0.5%
20031231 9
 
0.5%
20031112 8
 
0.5%
20031229 7
 
0.4%
20031226 7
 
0.4%
20050207 5
 
0.3%
Other values (718) 849
48.6%
(Missing) 799
45.8%
ValueCountFrequency (%)
20000430 1
0.1%
20010505 1
0.1%
20010517 1
0.1%
20010706 1
0.1%
20010725 1
0.1%
20010908 1
0.1%
20010920 2
0.1%
20011009 1
0.1%
20020326 2
0.1%
20020408 1
0.1%
ValueCountFrequency (%)
20200730 1
0.1%
20200713 1
0.1%
20200710 1
0.1%
20200709 1
0.1%
20200707 1
0.1%
20200706 1
0.1%
20200702 1
0.1%
20200701 1
0.1%
20200630 1
0.1%
20200624 2
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1746
Missing (%)100.0%
Memory size15.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1746
Missing (%)100.0%
Memory size15.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1746
Missing (%)100.0%
Memory size15.5 KiB

소재지전화
Text

MISSING 

Distinct1589
Distinct (%)96.5%
Missing100
Missing (%)5.7%
Memory size13.8 KiB
2023-12-11T03:42:29.166024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.801337
Min length1

Characters and Unicode

Total characters17779
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

Unique1535 ?
Unique (%)93.3%

Sample

1st row053 427 2400
2nd row053 6641155
3rd row053 4227471
4th row053 5716030
5th row053 5542696
ValueCountFrequency (%)
053 1456
43.4%
768 16
 
0.5%
765 12
 
0.4%
764 11
 
0.3%
761 11
 
0.3%
763 10
 
0.3%
766 10
 
0.3%
762 7
 
0.2%
752 6
 
0.2%
743 5
 
0.1%
Other values (1679) 1811
54.0%
2023-12-11T03:42:29.828355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 3391
19.1%
3 2673
15.0%
0 2533
14.2%
1759
9.9%
2 1292
 
7.3%
6 1239
 
7.0%
7 1172
 
6.6%
4 1011
 
5.7%
1 968
 
5.4%
9 944
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16020
90.1%
Space Separator 1759
 
9.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3391
21.2%
3 2673
16.7%
0 2533
15.8%
2 1292
 
8.1%
6 1239
 
7.7%
7 1172
 
7.3%
4 1011
 
6.3%
1 968
 
6.0%
9 944
 
5.9%
8 797
 
5.0%
Space Separator
ValueCountFrequency (%)
1759
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17779
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3391
19.1%
3 2673
15.0%
0 2533
14.2%
1759
9.9%
2 1292
 
7.3%
6 1239
 
7.0%
7 1172
 
6.6%
4 1011
 
5.7%
1 968
 
5.4%
9 944
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17779
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 3391
19.1%
3 2673
15.0%
0 2533
14.2%
1759
9.9%
2 1292
 
7.3%
6 1239
 
7.0%
7 1172
 
6.6%
4 1011
 
5.7%
1 968
 
5.4%
9 944
 
5.3%

소재지면적
Text

Distinct1477
Distinct (%)85.0%
Missing8
Missing (%)0.5%
Memory size13.8 KiB
2023-12-11T03:42:30.343480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.1915995
Min length3

Characters and Unicode

Total characters10761
Distinct characters12
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

Unique1341 ?
Unique (%)77.2%

Sample

1st row3,405.88
2nd row33,389.00
3rd row283.30
4th row381.25
5th row69.30
ValueCountFrequency (%)
00 78
 
4.5%
264.00 7
 
0.4%
35.00 6
 
0.3%
48.00 6
 
0.3%
100.00 6
 
0.3%
900.00 4
 
0.2%
132.00 4
 
0.2%
20.00 4
 
0.2%
1,835.44 4
 
0.2%
92.00 3
 
0.2%
Other values (1467) 1616
93.0%
2023-12-11T03:42:31.035659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1901
17.7%
. 1738
16.2%
1 990
9.2%
2 805
7.5%
4 795
7.4%
8 774
7.2%
5 751
 
7.0%
6 707
 
6.6%
3 697
 
6.5%
9 640
 
5.9%
Other values (2) 963
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8641
80.3%
Other Punctuation 2120
 
19.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1901
22.0%
1 990
11.5%
2 805
9.3%
4 795
9.2%
8 774
9.0%
5 751
 
8.7%
6 707
 
8.2%
3 697
 
8.1%
9 640
 
7.4%
7 581
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 1738
82.0%
, 382
 
18.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10761
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1901
17.7%
. 1738
16.2%
1 990
9.2%
2 805
7.5%
4 795
7.4%
8 774
7.2%
5 751
 
7.0%
6 707
 
6.6%
3 697
 
6.5%
9 640
 
5.9%
Other values (2) 963
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10761
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1901
17.7%
. 1738
16.2%
1 990
9.2%
2 805
7.5%
4 795
7.4%
8 774
7.2%
5 751
 
7.0%
6 707
 
6.6%
3 697
 
6.5%
9 640
 
5.9%
Other values (2) 963
8.9%

소재지우편번호
Real number (ℝ)

Distinct296
Distinct (%)17.0%
Missing9
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean703579.03
Minimum700020
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T03:42:31.287595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700020
5-th percentile700280
Q1701816
median702886
Q3704914
95-th percentile706853
Maximum711892
Range11872
Interquartile range (IQR)3098

Descriptive statistics

Standard deviation2571.8832
Coefficient of variation (CV)0.003655429
Kurtosis1.9709418
Mean703579.03
Median Absolute Deviation (MAD)1076
Skewness1.2476663
Sum1.2221168 × 109
Variance6614583
MonotonicityNot monotonic
2023-12-11T03:42:31.512108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
703848 53
 
3.0%
706800 53
 
3.0%
701816 50
 
2.9%
701827 46
 
2.6%
704914 45
 
2.6%
701812 41
 
2.3%
703819 37
 
2.1%
706853 36
 
2.1%
701815 31
 
1.8%
703824 29
 
1.7%
Other values (286) 1316
75.4%
ValueCountFrequency (%)
700020 6
0.3%
700030 4
0.2%
700040 1
 
0.1%
700050 4
0.2%
700060 1
 
0.1%
700070 1
 
0.1%
700081 5
0.3%
700093 1
 
0.1%
700100 1
 
0.1%
700111 4
0.2%
ValueCountFrequency (%)
711892 2
 
0.1%
711891 3
 
0.2%
711874 1
 
0.1%
711873 1
 
0.1%
711872 3
 
0.2%
711863 16
0.9%
711861 1
 
0.1%
711858 1
 
0.1%
711852 12
0.7%
711851 1
 
0.1%

소재지전체주소
Text

Distinct1593
Distinct (%)91.3%
Missing2
Missing (%)0.1%
Memory size13.8 KiB
2023-12-11T03:42:31.942905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length50
Mean length22.631307
Min length17

Characters and Unicode

Total characters39469
Distinct characters166
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

Unique1447 ?
Unique (%)83.0%

Sample

1st row대구광역시 중구 삼덕동2가 0116-0001번지
2nd row대구광역시 중구 문화동 0011-0001번지
3rd row대구광역시 중구 도원동 0003-0139번지 지상1,2,3층
4th row대구광역시 중구 삼덕동1가 0055-0012번지
5th row대구광역시 중구 달성동 0274번지
ValueCountFrequency (%)
대구광역시 1744
24.3%
동구 427
 
5.9%
서구 301
 
4.2%
중구 240
 
3.3%
북구 205
 
2.9%
달서구 203
 
2.8%
수성구 191
 
2.7%
신암동 147
 
2.0%
비산동 144
 
2.0%
신천동 128
 
1.8%
Other values (1755) 3459
48.1%
2023-12-11T03:42:32.632906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7188
18.2%
구 3421
 
8.7%
동 2113
 
5.4%
대 1897
 
4.8%
지 1789
 
4.5%
시 1758
 
4.5%
역 1747
 
4.4%
광 1744
 
4.4%
번 1701
 
4.3%
1 1661
 
4.2%
Other values (156) 14450
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22004
55.8%
Decimal Number 8585
 
21.8%
Space Separator 7188
 
18.2%
Dash Punctuation 1571
 
4.0%
Other Punctuation 66
 
0.2%
Close Punctuation 18
 
< 0.1%
Open Punctuation 18
 
< 0.1%
Math Symbol 12
 
< 0.1%
Uppercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 3421
15.5%
동 2113
9.6%
대 1897
 
8.6%
지 1789
 
8.1%
시 1758
 
8.0%
역 1747
 
7.9%
광 1744
 
7.9%
번 1701
 
7.7%
서 515
 
2.3%
성 386
 
1.8%
Other values (130) 4933
22.4%
Decimal Number
ValueCountFrequency (%)
1 1661
19.3%
0 1323
15.4%
2 1154
13.4%
3 922
10.7%
4 690
8.0%
5 662
 
7.7%
8 568
 
6.6%
7 560
 
6.5%
6 560
 
6.5%
9 485
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
A 2
28.6%
L 1
14.3%
P 1
14.3%
T 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 51
77.3%
. 14
 
21.2%
' 1
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 17
94.4%
} 1
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 17
94.4%
{ 1
 
5.6%
Math Symbol
ValueCountFrequency (%)
~ 11
91.7%
> 1
 
8.3%
Space Separator
ValueCountFrequency (%)
7188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1571
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22004
55.8%
Common 17458
44.2%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3421
15.5%
동 2113
9.6%
대 1897
 
8.6%
지 1789
 
8.1%
시 1758
 
8.0%
역 1747
 
7.9%
광 1744
 
7.9%
번 1701
 
7.7%
서 515
 
2.3%
성 386
 
1.8%
Other values (130) 4933
22.4%
Common
ValueCountFrequency (%)
7188
41.2%
1 1661
 
9.5%
- 1571
 
9.0%
0 1323
 
7.6%
2 1154
 
6.6%
3 922
 
5.3%
4 690
 
4.0%
5 662
 
3.8%
8 568
 
3.3%
7 560
 
3.2%
Other values (11) 1159
 
6.6%
Latin
ValueCountFrequency (%)
B 2
28.6%
A 2
28.6%
L 1
14.3%
P 1
14.3%
T 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22004
55.8%
ASCII 17465
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7188
41.2%
1 1661
 
9.5%
- 1571
 
9.0%
0 1323
 
7.6%
2 1154
 
6.6%
3 922
 
5.3%
4 690
 
4.0%
5 662
 
3.8%
8 568
 
3.3%
7 560
 
3.2%
Other values (16) 1166
 
6.7%
Hangul
ValueCountFrequency (%)
구 3421
15.5%
동 2113
9.6%
대 1897
 
8.6%
지 1789
 
8.1%
시 1758
 
8.0%
역 1747
 
7.9%
광 1744
 
7.9%
번 1701
 
7.7%
서 515
 
2.3%
성 386
 
1.8%
Other values (130) 4933
22.4%

도로명전체주소
Text

MISSING 

Distinct1119
Distinct (%)98.5%
Missing610
Missing (%)34.9%
Memory size13.8 KiB
2023-12-11T03:42:33.083577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length39
Mean length25.143486
Min length19

Characters and Unicode

Total characters28563
Distinct characters200
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1103 ?
Unique (%)97.1%

Sample

1st row대구광역시 중구 공평로8길 40 (삼덕동2가)
2nd row대구광역시 중구 국채보상로 611 (문화동)
3rd row대구광역시 중구 태평로 52-4 (도원동, 지상1,2,3층)
4th row대구광역시 중구 동성로5길 94-17 (삼덕동1가)
5th row대구광역시 중구 달성로21길 9-9 (달성동)
ValueCountFrequency (%)
대구광역시 1136
 
19.7%
동구 286
 
5.0%
서구 164
 
2.8%
달서구 163
 
2.8%
중구 161
 
2.8%
북구 126
 
2.2%
수성구 110
 
1.9%
신천동 88
 
1.5%
신암동 87
 
1.5%
비산동 75
 
1.3%
Other values (1099) 3377
58.5%
2023-12-11T03:42:34.068987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4637
 
16.2%
구 2386
 
8.4%
동 1600
 
5.6%
대 1495
 
5.2%
시 1153
 
4.0%
역 1139
 
4.0%
광 1136
 
4.0%
로 1133
 
4.0%
( 1086
 
3.8%
) 1086
 
3.8%
Other values (190) 11712
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16723
58.5%
Space Separator 4637
 
16.2%
Decimal Number 4476
 
15.7%
Open Punctuation 1086
 
3.8%
Close Punctuation 1086
 
3.8%
Dash Punctuation 374
 
1.3%
Other Punctuation 130
 
0.5%
Math Symbol 51
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2386
14.3%
동 1600
 
9.6%
대 1495
 
8.9%
시 1153
 
6.9%
역 1139
 
6.8%
광 1136
 
6.8%
로 1133
 
6.8%
길 626
 
3.7%
서 465
 
2.8%
성 345
 
2.1%
Other values (171) 5245
31.4%
Decimal Number
ValueCountFrequency (%)
1 1018
22.7%
2 798
17.8%
3 493
11.0%
4 400
 
8.9%
5 382
 
8.5%
6 344
 
7.7%
0 281
 
6.3%
8 276
 
6.2%
7 261
 
5.8%
9 223
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 125
96.2%
. 4
 
3.1%
' 1
 
0.8%
Math Symbol
ValueCountFrequency (%)
~ 50
98.0%
> 1
 
2.0%
Space Separator
ValueCountFrequency (%)
4637
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1086
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1086
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 374
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16723
58.5%
Common 11840
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2386
14.3%
동 1600
 
9.6%
대 1495
 
8.9%
시 1153
 
6.9%
역 1139
 
6.8%
광 1136
 
6.8%
로 1133
 
6.8%
길 626
 
3.7%
서 465
 
2.8%
성 345
 
2.1%
Other values (171) 5245
31.4%
Common
ValueCountFrequency (%)
4637
39.2%
( 1086
 
9.2%
) 1086
 
9.2%
1 1018
 
8.6%
2 798
 
6.7%
3 493
 
4.2%
4 400
 
3.4%
5 382
 
3.2%
- 374
 
3.2%
6 344
 
2.9%
Other values (9) 1222
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16723
58.5%
ASCII 11840
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4637
39.2%
( 1086
 
9.2%
) 1086
 
9.2%
1 1018
 
8.6%
2 798
 
6.7%
3 493
 
4.2%
4 400
 
3.4%
5 382
 
3.2%
- 374
 
3.2%
6 344
 
2.9%
Other values (9) 1222
 
10.3%
Hangul
ValueCountFrequency (%)
구 2386
14.3%
동 1600
 
9.6%
대 1495
 
8.9%
시 1153
 
6.9%
역 1139
 
6.8%
광 1136
 
6.8%
로 1133
 
6.8%
길 626
 
3.7%
서 465
 
2.8%
성 345
 
2.1%
Other values (171) 5245
31.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct336
Distinct (%)30.3%
Missing636
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean41893.175
Minimum41001
Maximum43017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T03:42:34.271494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001
5-th percentile41142.45
Q141422.25
median41865
Q342409
95-th percentile42900
Maximum43017
Range2016
Interquartile range (IQR)986.75

Descriptive statistics

Standard deviation565.66859
Coefficient of variation (CV)0.013502643
Kurtosis-0.98922784
Mean41893.175
Median Absolute Deviation (MAD)535
Skewness0.2853322
Sum46501424
Variance319980.96
MonotonicityNot monotonic
2023-12-11T03:42:34.435933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42149 23
 
1.3%
42684 21
 
1.2%
42713 21
 
1.2%
41223 19
 
1.1%
42171 17
 
1.0%
41918 17
 
1.0%
42714 16
 
0.9%
41007 16
 
0.9%
41911 16
 
0.9%
41251 15
 
0.9%
Other values (326) 929
53.2%
(Missing) 636
36.4%
ValueCountFrequency (%)
41001 6
 
0.3%
41002 3
 
0.2%
41005 3
 
0.2%
41007 16
0.9%
41008 4
 
0.2%
41009 1
 
0.1%
41026 1
 
0.1%
41043 3
 
0.2%
41047 1
 
0.1%
41052 1
 
0.1%
ValueCountFrequency (%)
43017 1
 
0.1%
43013 2
0.1%
43008 1
 
0.1%
43003 1
 
0.1%
43000 1
 
0.1%
42999 3
0.2%
42993 1
 
0.1%
42990 2
0.1%
42988 2
0.1%
42986 1
 
0.1%

사업장명
Text

Distinct1469
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
2023-12-11T03:42:34.754653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27
Mean length4.5715922
Min length1

Characters and Unicode

Total characters7982
Distinct characters497
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1274 ?
Unique (%)73.0%

Sample

1st row피크니크호텔
2nd row노보텔 앰배서더 대구
3rd row하얀여관
4th row그린
5th row한성
ValueCountFrequency (%)
모텔 23
 
1.2%
여관 21
 
1.1%
호텔 11
 
0.6%
산장여관 8
 
0.4%
스위트호텔 7
 
0.4%
hotel 6
 
0.3%
청수여관 5
 
0.3%
젠모텔 5
 
0.3%
앤모텔 5
 
0.3%
현대여인숙 5
 
0.3%
Other values (1484) 1758
94.8%
2023-12-11T03:42:35.265947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 657
 
8.2%
여 575
 
7.2%
모 503
 
6.3%
관 488
 
6.1%
장 360
 
4.5%
호 188
 
2.4%
스 160
 
2.0%
인 128
 
1.6%
동 121
 
1.5%
성 119
 
1.5%
Other values (487) 4683
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7206
90.3%
Uppercase Letter 291
 
3.6%
Space Separator 110
 
1.4%
Open Punctuation 106
 
1.3%
Close Punctuation 106
 
1.3%
Lowercase Letter 80
 
1.0%
Decimal Number 67
 
0.8%
Other Punctuation 12
 
0.2%
Dash Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 657
 
9.1%
여 575
 
8.0%
모 503
 
7.0%
관 488
 
6.8%
장 360
 
5.0%
호 188
 
2.6%
스 160
 
2.2%
인 128
 
1.8%
동 121
 
1.7%
성 119
 
1.7%
Other values (420) 3907
54.2%
Uppercase Letter
ValueCountFrequency (%)
O 28
 
9.6%
E 28
 
9.6%
T 26
 
8.9%
L 24
 
8.2%
S 21
 
7.2%
M 21
 
7.2%
A 18
 
6.2%
H 15
 
5.2%
G 13
 
4.5%
R 10
 
3.4%
Other values (15) 87
29.9%
Lowercase Letter
ValueCountFrequency (%)
o 13
16.2%
e 12
15.0%
i 7
 
8.8%
n 7
 
8.8%
g 5
 
6.2%
t 4
 
5.0%
l 4
 
5.0%
h 4
 
5.0%
f 3
 
3.8%
u 3
 
3.8%
Other values (12) 18
22.5%
Decimal Number
ValueCountFrequency (%)
2 28
41.8%
1 8
 
11.9%
7 7
 
10.4%
0 5
 
7.5%
5 5
 
7.5%
4 4
 
6.0%
3 4
 
6.0%
6 3
 
4.5%
9 2
 
3.0%
8 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 6
50.0%
' 3
25.0%
! 1
 
8.3%
# 1
 
8.3%
, 1
 
8.3%
Space Separator
ValueCountFrequency (%)
110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7205
90.3%
Common 405
 
5.1%
Latin 371
 
4.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 657
 
9.1%
여 575
 
8.0%
모 503
 
7.0%
관 488
 
6.8%
장 360
 
5.0%
호 188
 
2.6%
스 160
 
2.2%
인 128
 
1.8%
동 121
 
1.7%
성 119
 
1.7%
Other values (419) 3906
54.2%
Latin
ValueCountFrequency (%)
O 28
 
7.5%
E 28
 
7.5%
T 26
 
7.0%
L 24
 
6.5%
S 21
 
5.7%
M 21
 
5.7%
A 18
 
4.9%
H 15
 
4.0%
G 13
 
3.5%
o 13
 
3.5%
Other values (37) 164
44.2%
Common
ValueCountFrequency (%)
110
27.2%
( 106
26.2%
) 106
26.2%
2 28
 
6.9%
1 8
 
2.0%
7 7
 
1.7%
. 6
 
1.5%
0 5
 
1.2%
5 5
 
1.2%
4 4
 
1.0%
Other values (10) 20
 
4.9%
Han
ValueCountFrequency (%)
月 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7205
90.3%
ASCII 776
 
9.7%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 657
 
9.1%
여 575
 
8.0%
모 503
 
7.0%
관 488
 
6.8%
장 360
 
5.0%
호 188
 
2.6%
스 160
 
2.2%
인 128
 
1.8%
동 121
 
1.7%
성 119
 
1.7%
Other values (419) 3906
54.2%
ASCII
ValueCountFrequency (%)
110
 
14.2%
( 106
 
13.7%
) 106
 
13.7%
O 28
 
3.6%
2 28
 
3.6%
E 28
 
3.6%
T 26
 
3.4%
L 24
 
3.1%
S 21
 
2.7%
M 21
 
2.7%
Other values (57) 278
35.8%
CJK
ValueCountFrequency (%)
月 1
100.0%

최종수정시점
Real number (ℝ)

Distinct1465
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0131284 × 1013
Minimum2.0020122 × 1013
Maximum2.0200731 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T03:42:35.445611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0020122 × 1013
5-th percentile2.002121 × 1013
Q12.0050202 × 1013
median2.0171123 × 1013
Q32.0190703 × 1013
95-th percentile2.0200424 × 1013
Maximum2.0200731 × 1013
Range1.8060913 × 1011
Interquartile range (IQR)1.4050116 × 1011

Descriptive statistics

Standard deviation6.8597777 × 1010
Coefficient of variation (CV)0.0034075212
Kurtosis-1.4887149
Mean2.0131284 × 1013
Median Absolute Deviation (MAD)2.9088029 × 1010
Skewness-0.53703202
Sum3.5149222 × 1016
Variance4.705655 × 1021
MonotonicityNot monotonic
2023-12-11T03:42:35.616259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050202000000 31
 
1.8%
20040213000000 17
 
1.0%
20020327000000 16
 
0.9%
20020627000000 13
 
0.7%
20031202000000 12
 
0.7%
20030814000000 10
 
0.6%
20030731000000 10
 
0.6%
20040511000000 9
 
0.5%
20020913000000 9
 
0.5%
20020328000000 9
 
0.5%
Other values (1455) 1610
92.2%
ValueCountFrequency (%)
20020122000000 1
 
0.1%
20020129000000 1
 
0.1%
20020322000000 1
 
0.1%
20020327000000 16
0.9%
20020328000000 9
0.5%
20020329000000 5
 
0.3%
20020415000000 1
 
0.1%
20020502000000 1
 
0.1%
20020503000000 3
 
0.2%
20020508000000 1
 
0.1%
ValueCountFrequency (%)
20200731134743 1
0.1%
20200730165519 1
0.1%
20200729181829 1
0.1%
20200729141245 1
0.1%
20200728103754 1
0.1%
20200728103636 1
0.1%
20200727160140 1
0.1%
20200724131407 1
0.1%
20200723174344 1
0.1%
20200723112826 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
I
1108 
U
638 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1108
63.5%
U 638
36.5%

Length

2023-12-11T03:42:35.792051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:35.936120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1108
63.5%
u 638
36.5%

데이터갱신일자
Date

Distinct303
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
Minimum2018-08-31 23:59:59
Maximum2020-08-02 02:40:00
2023-12-11T03:42:36.081705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:42:36.244088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
여관업
1366 
여인숙업
179 
숙박업 기타
 
93
일반호텔
 
55
관광호텔
 
40

Length

Max length7
Median length3
Mean length3.3465063
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반호텔
2nd row관광호텔
3rd row여관업
4th row여관업
5th row여인숙업

Common Values

ValueCountFrequency (%)
여관업 1366
78.2%
여인숙업 179
 
10.3%
숙박업 기타 93
 
5.3%
일반호텔 55
 
3.2%
관광호텔 40
 
2.3%
숙박업(생활) 13
 
0.7%

Length

2023-12-11T03:42:36.458739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:36.629605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여관업 1366
74.3%
여인숙업 179
 
9.7%
숙박업 93
 
5.1%
기타 93
 
5.1%
일반호텔 55
 
3.0%
관광호텔 40
 
2.2%
숙박업(생활 13
 
0.7%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1446
Distinct (%)88.3%
Missing109
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean343523.53
Minimum326165.89
Maximum356639.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T03:42:36.823688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326165.89
5-th percentile335158.47
Q1340693.74
median343786.34
Q3346652.8
95-th percentile349168.93
Maximum356639.97
Range30474.084
Interquartile range (IQR)5959.0659

Descriptive statistics

Standard deviation4314.2956
Coefficient of variation (CV)0.012558952
Kurtosis1.5340032
Mean343523.53
Median Absolute Deviation (MAD)2963.2946
Skewness-0.53146416
Sum5.6234803 × 108
Variance18613146
MonotonicityNot monotonic
2023-12-11T03:42:37.072430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
346512.307811 3
 
0.2%
355795.444667 3
 
0.2%
347204.783471 3
 
0.2%
344309.75555 3
 
0.2%
343096.630212 3
 
0.2%
340507.314024 3
 
0.2%
340431.31276 3
 
0.2%
346478.460358 3
 
0.2%
340458.952586 3
 
0.2%
340426.468133 3
 
0.2%
Other values (1436) 1607
92.0%
(Missing) 109
 
6.2%
ValueCountFrequency (%)
326165.886517 1
0.1%
326172.635898 1
0.1%
327255.08935 2
0.1%
327367.90409 1
0.1%
327926.829643 1
0.1%
328249.701083 1
0.1%
328273.30899 1
0.1%
328508.323419 1
0.1%
328548.352834 1
0.1%
328571.129371 1
0.1%
ValueCountFrequency (%)
356639.970173 1
 
0.1%
355795.444667 3
0.2%
355779.785519 1
 
0.1%
355760.92746 1
 
0.1%
355744.44748 2
0.1%
354686.747751 1
 
0.1%
354683.486531 1
 
0.1%
354671.061614 1
 
0.1%
354275.276491 1
 
0.1%
354128.757834 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1446
Distinct (%)88.3%
Missing109
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean264088.1
Minimum239016.21
Maximum278167.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T03:42:37.294184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239016.21
5-th percentile259470.73
Q1262056.77
median264727.27
Q3265876.6
95-th percentile268702.55
Maximum278167.56
Range39151.353
Interquartile range (IQR)3819.8221

Descriptive statistics

Standard deviation4353.2668
Coefficient of variation (CV)0.016484146
Kurtosis7.620758
Mean264088.1
Median Absolute Deviation (MAD)1415.3411
Skewness-1.1382628
Sum4.3231221 × 108
Variance18950931
MonotonicityNot monotonic
2023-12-11T03:42:37.504616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261076.547247 3
 
0.2%
275764.967013 3
 
0.2%
266347.746271 3
 
0.2%
265136.229046 3
 
0.2%
265580.464833 3
 
0.2%
263962.430615 3
 
0.2%
264403.374415 3
 
0.2%
260883.377943 3
 
0.2%
264541.886823 3
 
0.2%
266143.989836 3
 
0.2%
Other values (1436) 1607
92.0%
(Missing) 109
 
6.2%
ValueCountFrequency (%)
239016.209158 1
0.1%
239017.56085 1
0.1%
239802.49247 1
0.1%
240678.394981 1
0.1%
242124.922955 1
0.1%
244521.950088 1
0.1%
244752.614707 1
0.1%
245059.293029 1
0.1%
245205.925241 1
0.1%
245371.919272 1
0.1%
ValueCountFrequency (%)
278167.562594 2
0.1%
278147.643455 1
0.1%
278141.388025 2
0.1%
278105.634265 1
0.1%
278091.653532 1
0.1%
278082.12111 2
0.1%
278080.761551 1
0.1%
278066.857497 2
0.1%
278043.62211 2
0.1%
278031.37713 2
0.1%

위생업태명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
여관업
1365 
여인숙업
179 
숙박업 기타
 
93
일반호텔
 
55
관광호텔
 
40
Other values (2)
 
14

Length

Max length7
Median length3
Mean length3.347079
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row일반호텔
2nd row관광호텔
3rd row여관업
4th row여관업
5th row여인숙업

Common Values

ValueCountFrequency (%)
여관업 1365
78.2%
여인숙업 179
 
10.3%
숙박업 기타 93
 
5.3%
일반호텔 55
 
3.2%
관광호텔 40
 
2.3%
숙박업(생활) 13
 
0.7%
<NA> 1
 
0.1%

Length

2023-12-11T03:42:37.790339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:38.034935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여관업 1365
74.2%
여인숙업 179
 
9.7%
숙박업 93
 
5.1%
기타 93
 
5.1%
일반호텔 55
 
3.0%
관광호텔 40
 
2.2%
숙박업(생활 13
 
0.7%
na 1
 
0.1%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)1.0%
Missing186
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean3.0551282
Minimum0
Maximum23
Zeros309
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T03:42:38.229813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile6
Maximum23
Range23
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2225821
Coefficient of variation (CV)0.72749224
Kurtosis5.472157
Mean3.0551282
Median Absolute Deviation (MAD)1
Skewness1.0389204
Sum4766
Variance4.9398711
MonotonicityNot monotonic
2023-12-11T03:42:38.417619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
4 326
18.7%
3 311
17.8%
0 309
17.7%
2 232
13.3%
5 182
10.4%
6 77
 
4.4%
1 47
 
2.7%
7 32
 
1.8%
8 22
 
1.3%
10 8
 
0.5%
Other values (6) 14
 
0.8%
(Missing) 186
10.7%
ValueCountFrequency (%)
0 309
17.7%
1 47
 
2.7%
2 232
13.3%
3 311
17.8%
4 326
18.7%
5 182
10.4%
6 77
 
4.4%
7 32
 
1.8%
8 22
 
1.3%
9 6
 
0.3%
ValueCountFrequency (%)
23 1
 
0.1%
17 1
 
0.1%
14 1
 
0.1%
12 3
 
0.2%
11 2
 
0.1%
10 8
 
0.5%
9 6
 
0.3%
8 22
 
1.3%
7 32
1.8%
6 77
4.4%

건물지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.6%
Missing376
Missing (%)21.5%
Infinite0
Infinite (%)0.0%
Mean0.59270073
Minimum0
Maximum9
Zeros615
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T03:42:38.606179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.66462697
Coefficient of variation (CV)1.1213534
Kurtosis30.496419
Mean0.59270073
Median Absolute Deviation (MAD)0
Skewness3.3126828
Sum812
Variance0.441729
MonotonicityNot monotonic
2023-12-11T03:42:38.806479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 731
41.9%
0 615
35.2%
2 13
 
0.7%
4 4
 
0.2%
5 4
 
0.2%
9 1
 
0.1%
3 1
 
0.1%
7 1
 
0.1%
(Missing) 376
21.5%
ValueCountFrequency (%)
0 615
35.2%
1 731
41.9%
2 13
 
0.7%
3 1
 
0.1%
4 4
 
0.2%
5 4
 
0.2%
7 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
9 1
 
0.1%
7 1
 
0.1%
5 4
 
0.2%
4 4
 
0.2%
3 1
 
0.1%
2 13
 
0.7%
1 731
41.9%
0 615
35.2%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)0.8%
Missing323
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean1.2733661
Minimum0
Maximum10
Zeros423
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T03:42:39.001572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3523591
Coefficient of variation (CV)1.0620348
Kurtosis6.1060767
Mean1.2733661
Median Absolute Deviation (MAD)1
Skewness1.9347866
Sum1812
Variance1.8288752
MonotonicityNot monotonic
2023-12-11T03:42:39.212141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 575
32.9%
0 423
24.2%
2 215
 
12.3%
3 114
 
6.5%
4 58
 
3.3%
5 21
 
1.2%
6 5
 
0.3%
7 4
 
0.2%
8 4
 
0.2%
9 2
 
0.1%
(Missing) 323
18.5%
ValueCountFrequency (%)
0 423
24.2%
1 575
32.9%
2 215
 
12.3%
3 114
 
6.5%
4 58
 
3.3%
5 21
 
1.2%
6 5
 
0.3%
7 4
 
0.2%
8 4
 
0.2%
9 2
 
0.1%
ValueCountFrequency (%)
10 2
 
0.1%
9 2
 
0.1%
8 4
 
0.2%
7 4
 
0.2%
6 5
 
0.3%
5 21
 
1.2%
4 58
 
3.3%
3 114
 
6.5%
2 215
 
12.3%
1 575
32.9%

사용끝지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)1.2%
Missing379
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean3.0007315
Minimum0
Maximum22
Zeros270
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T03:42:39.405482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile6
Maximum22
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1845657
Coefficient of variation (CV)0.72801106
Kurtosis5.7278934
Mean3.0007315
Median Absolute Deviation (MAD)1
Skewness1.0783628
Sum4102
Variance4.7723274
MonotonicityNot monotonic
2023-12-11T03:42:39.618540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3 304
17.4%
4 273
15.6%
0 270
15.5%
2 196
11.2%
5 151
 
8.6%
6 65
 
3.7%
1 48
 
2.7%
7 25
 
1.4%
8 17
 
1.0%
9 6
 
0.3%
Other values (6) 12
 
0.7%
(Missing) 379
21.7%
ValueCountFrequency (%)
0 270
15.5%
1 48
 
2.7%
2 196
11.2%
3 304
17.4%
4 273
15.6%
5 151
8.6%
6 65
 
3.7%
7 25
 
1.4%
8 17
 
1.0%
9 6
 
0.3%
ValueCountFrequency (%)
22 1
 
0.1%
17 1
 
0.1%
14 1
 
0.1%
12 2
 
0.1%
11 1
 
0.1%
10 6
 
0.3%
9 6
 
0.3%
8 17
 
1.0%
7 25
 
1.4%
6 65
3.7%

사용시작지하층
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
0
1050 
<NA>
525 
1
170 
4
 
1

Length

Max length4
Median length1
Mean length1.9020619
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1050
60.1%
<NA> 525
30.1%
1 170
 
9.7%
4 1
 
0.1%

Length

2023-12-11T03:42:39.850092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:40.060824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1050
60.1%
na 525
30.1%
1 170
 
9.7%
4 1
 
0.1%

사용끝지하층
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
0
912 
<NA>
639 
1
194 
10
 
1

Length

Max length4
Median length1
Mean length2.0985109
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 912
52.2%
<NA> 639
36.6%
1 194
 
11.1%
10 1
 
0.1%

Length

2023-12-11T03:42:40.303679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:40.537701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 912
52.2%
na 639
36.6%
1 194
 
11.1%
10 1
 
0.1%

한실수
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)2.3%
Missing162
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean5.5145202
Minimum0
Maximum39
Zeros436
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T03:42:40.731347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q39
95-th percentile17
Maximum39
Range39
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.2610946
Coefficient of variation (CV)1.1353834
Kurtosis3.2294724
Mean5.5145202
Median Absolute Deviation (MAD)3
Skewness1.6241911
Sum8735
Variance39.201305
MonotonicityNot monotonic
2023-12-11T03:42:40.978233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 436
25.0%
2 135
 
7.7%
3 120
 
6.9%
1 104
 
6.0%
4 96
 
5.5%
6 83
 
4.8%
10 82
 
4.7%
5 77
 
4.4%
8 63
 
3.6%
7 60
 
3.4%
Other values (26) 328
18.8%
(Missing) 162
 
9.3%
ValueCountFrequency (%)
0 436
25.0%
1 104
 
6.0%
2 135
 
7.7%
3 120
 
6.9%
4 96
 
5.5%
5 77
 
4.4%
6 83
 
4.8%
7 60
 
3.4%
8 63
 
3.6%
9 52
 
3.0%
ValueCountFrequency (%)
39 1
 
0.1%
35 2
 
0.1%
34 2
 
0.1%
32 2
 
0.1%
31 1
 
0.1%
30 3
0.2%
29 7
0.4%
28 2
 
0.1%
27 3
0.2%
26 5
0.3%

양실수
Real number (ℝ)

MISSING  ZEROS 

Distinct78
Distinct (%)5.0%
Missing190
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean19.32455
Minimum0
Maximum343
Zeros182
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T03:42:41.254135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median17
Q327
95-th percentile43
Maximum343
Range343
Interquartile range (IQR)18

Descriptive statistics

Standard deviation19.286253
Coefficient of variation (CV)0.99801821
Kurtosis85.364345
Mean19.32455
Median Absolute Deviation (MAD)9
Skewness6.627019
Sum30069
Variance371.95955
MonotonicityNot monotonic
2023-12-11T03:42:41.534039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 182
 
10.4%
10 77
 
4.4%
17 57
 
3.3%
14 50
 
2.9%
20 49
 
2.8%
12 49
 
2.8%
18 48
 
2.7%
16 46
 
2.6%
22 45
 
2.6%
13 44
 
2.5%
Other values (68) 909
52.1%
(Missing) 190
 
10.9%
ValueCountFrequency (%)
0 182
10.4%
1 9
 
0.5%
2 20
 
1.1%
3 23
 
1.3%
4 19
 
1.1%
5 31
 
1.8%
6 24
 
1.4%
7 30
 
1.7%
8 36
 
2.1%
9 31
 
1.8%
ValueCountFrequency (%)
343 1
0.1%
273 1
0.1%
215 1
0.1%
204 1
0.1%
176 1
0.1%
136 1
0.1%
129 1
0.1%
103 1
0.1%
82 1
0.1%
80 2
0.1%

욕실수
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
0
1211 
<NA>
534 
2
 
1

Length

Max length4
Median length1
Mean length1.9175258
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1211
69.4%
<NA> 534
30.6%
2 1
 
0.1%

Length

2023-12-11T03:42:42.188503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:42.387406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1211
69.4%
na 534
30.6%
2 1
 
0.1%

발한실여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing4
Missing (%)0.2%
Memory size3.5 KiB
False
1742 
(Missing)
 
4
ValueCountFrequency (%)
False 1742
99.8%
(Missing) 4
 
0.2%
2023-12-11T03:42:42.564565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7
Distinct (%)0.6%
Missing533
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean0.046990932
Minimum0
Maximum30
Zeros1205
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T03:42:42.730477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.91391946
Coefficient of variation (CV)19.448847
Kurtosis956.68281
Mean0.046990932
Median Absolute Deviation (MAD)0
Skewness29.651945
Sum57
Variance0.83524878
MonotonicityNot monotonic
2023-12-11T03:42:42.931555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 1205
69.0%
4 2
 
0.1%
3 2
 
0.1%
30 1
 
0.1%
2 1
 
0.1%
5 1
 
0.1%
6 1
 
0.1%
(Missing) 533
30.5%
ValueCountFrequency (%)
0 1205
69.0%
2 1
 
0.1%
3 2
 
0.1%
4 2
 
0.1%
5 1
 
0.1%
6 1
 
0.1%
30 1
 
0.1%
ValueCountFrequency (%)
30 1
 
0.1%
6 1
 
0.1%
5 1
 
0.1%
4 2
 
0.1%
3 2
 
0.1%
2 1
 
0.1%
0 1205
69.0%

조건부허가신고사유
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1745
Missing (%)99.9%
Memory size13.8 KiB
2023-12-11T03:42:43.152052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters10
Distinct characters10
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row체류기간만 영업가능
ValueCountFrequency (%)
체류기간만 1
50.0%
영업가능 1
50.0%
2023-12-11T03:42:43.621983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
체 1
10.0%
류 1
10.0%
기 1
10.0%
간 1
10.0%
만 1
10.0%
1
10.0%
영 1
10.0%
업 1
10.0%
가 1
10.0%
능 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
90.0%
Space Separator 1
 
10.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
체 1
11.1%
류 1
11.1%
기 1
11.1%
간 1
11.1%
만 1
11.1%
영 1
11.1%
업 1
11.1%
가 1
11.1%
능 1
11.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9
90.0%
Common 1
 
10.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
체 1
11.1%
류 1
11.1%
기 1
11.1%
간 1
11.1%
만 1
11.1%
영 1
11.1%
업 1
11.1%
가 1
11.1%
능 1
11.1%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9
90.0%
ASCII 1
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
체 1
11.1%
류 1
11.1%
기 1
11.1%
간 1
11.1%
만 1
11.1%
영 1
11.1%
업 1
11.1%
가 1
11.1%
능 1
11.1%
ASCII
ValueCountFrequency (%)
1
100.0%

조건부허가시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
<NA>
1745 
20181101
 
1

Length

Max length8
Median length4
Mean length4.002291
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1745
99.9%
20181101 1
 
0.1%

Length

2023-12-11T03:42:43.874454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:44.079082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1745
99.9%
20181101 1
 
0.1%

조건부허가종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
<NA>
1745 
20190722
 
1

Length

Max length8
Median length4
Mean length4.002291
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1745
99.9%
20190722 1
 
0.1%

Length

2023-12-11T03:42:44.298948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:44.499232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1745
99.9%
20190722 1
 
0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
<NA>
805 
자가
606 
임대
335 

Length

Max length4
Median length2
Mean length2.9221077
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 805
46.1%
자가 606
34.7%
임대 335
19.2%

Length

2023-12-11T03:42:44.714282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:44.950969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 805
46.1%
자가 606
34.7%
임대 335
19.2%

세탁기수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
0
1083 
<NA>
663 

Length

Max length4
Median length1
Mean length2.1391753
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1083
62.0%
<NA> 663
38.0%

Length

2023-12-11T03:42:45.158849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:45.333763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1083
62.0%
na 663
38.0%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)8.6%
Missing1676
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean1.7571429
Minimum0
Maximum40
Zeros36
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T03:42:45.525994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum40
Range40
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.0921325
Coefficient of variation (CV)3.4670673
Kurtosis29.074472
Mean1.7571429
Median Absolute Deviation (MAD)0
Skewness5.3166311
Sum123
Variance37.114079
MonotonicityNot monotonic
2023-12-11T03:42:45.744108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 36
 
2.1%
1 24
 
1.4%
2 7
 
0.4%
40 1
 
0.1%
30 1
 
0.1%
15 1
 
0.1%
(Missing) 1676
96.0%
ValueCountFrequency (%)
0 36
2.1%
1 24
1.4%
2 7
 
0.4%
15 1
 
0.1%
30 1
 
0.1%
40 1
 
0.1%
ValueCountFrequency (%)
40 1
 
0.1%
30 1
 
0.1%
15 1
 
0.1%
2 7
 
0.4%
1 24
1.4%
0 36
2.1%

남성종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
<NA>
1687 
0
 
36
1
 
18
2
 
2
30
 
2

Length

Max length4
Median length4
Mean length3.9003436
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1687
96.6%
0 36
 
2.1%
1 18
 
1.0%
2 2
 
0.1%
30 2
 
0.1%
35 1
 
0.1%

Length

2023-12-11T03:42:45.991450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:46.198551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1687
96.6%
0 36
 
2.1%
1 18
 
1.0%
2 2
 
0.1%
30 2
 
0.1%
35 1
 
0.1%

회수건조수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
0
1071 
<NA>
675 

Length

Max length4
Median length1
Mean length2.1597938
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1071
61.3%
<NA> 675
38.7%

Length

2023-12-11T03:42:46.458692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:46.663499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1071
61.3%
na 675
38.7%

침대수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
0
1067 
<NA>
676 
19
 
1
21
 
1
15
 
1

Length

Max length4
Median length1
Mean length2.1632302
Min length1

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1067
61.1%
<NA> 676
38.7%
19 1
 
0.1%
21 1
 
0.1%
15 1
 
0.1%

Length

2023-12-11T03:42:46.865774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:42:47.075335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1067
61.1%
na 676
38.7%
19 1
 
0.1%
21 1
 
0.1%
15 1
 
0.1%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing1
Missing (%)0.1%
Memory size3.5 KiB
False
1740 
True
 
5
(Missing)
 
1
ValueCountFrequency (%)
False 1740
99.7%
True 5
 
0.3%
(Missing) 1
 
0.1%
2023-12-11T03:42:47.254238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
01숙박업03_11_03_P34100003410000-201-2015-0000120150108<NA>1영업/정상1영업<NA><NA><NA><NA>053 427 24003,405.88700412대구광역시 중구 삼덕동2가 0116-0001번지대구광역시 중구 공평로8길 40 (삼덕동2가)41940피크니크호텔20191113110637U2019-11-15 02:40:00.0일반호텔344614.636327264084.137863일반호텔9117110560N0<NA><NA><NA>자가00000N
12숙박업03_11_03_P34100003410000-201-2008-0000220080620<NA>1영업/정상1영업<NA><NA><NA><NA>053 664115533,389.00700160대구광역시 중구 문화동 0011-0001번지대구광역시 중구 국채보상로 611 (문화동)41913노보텔 앰배서더 대구20191029133243U2019-10-31 02:40:00.0관광호텔344223.636477264597.611089관광호텔2399220002040N0<NA><NA><NA>임대0<NA><NA>00N
23숙박업03_11_03_P34100003410000-201-2016-0000120160322<NA>1영업/정상1영업<NA><NA><NA><NA><NA>283.30700360대구광역시 중구 도원동 0003-0139번지 지상1,2,3층대구광역시 중구 태평로 52-4 (도원동, 지상1,2,3층)41915하얀여관20190819094742U2019-08-21 02:40:00.0여관업342908.865595265247.82105여관업0013000230N0<NA><NA><NA>자가0<NA><NA>00N
34숙박업03_11_03_P34100003410000-201-1986-0000119860911<NA>1영업/정상1영업<NA><NA><NA><NA>053 4227471381.25700411대구광역시 중구 삼덕동1가 0055-0012번지대구광역시 중구 동성로5길 94-17 (삼덕동1가)41942그린20180224113516I2018-08-31 23:59:59.0여관업344390.428969264074.920989여관업4044000170N0<NA><NA><NA><NA>0<NA><NA>00N
45숙박업03_11_03_P34100003410000-201-1963-0000119630401<NA>1영업/정상1영업<NA><NA><NA><NA>053 571603069.30700841대구광역시 중구 달성동 0274번지대구광역시 중구 달성로21길 9-9 (달성동)41923한성20190628171115U2019-06-30 02:40:00.0여인숙업342724.922789264938.634024여인숙업101100900N0<NA><NA><NA><NA>0<NA><NA>00N
56숙박업03_11_03_P34100003410000-201-1973-0000219730501<NA>1영업/정상1영업<NA><NA><NA><NA>053 554269625.00700814대구광역시 중구 대신동 0001-0032번지대구광역시 중구 달성공원로6길 12 (대신동)41925신흥20190621114458U2019-06-23 02:40:00.0여관업342632.904123264763.381162여관업1011001000N0<NA><NA><NA><NA>0<NA><NA>00N
67숙박업03_11_03_P34100003410000-201-1974-0000619741117<NA>1영업/정상1영업<NA><NA><NA><NA>053 42312001,247.96700192대구광역시 중구 종로2가 0023번지대구광역시 중구 종로 37 (종로2가)41934엠티 라이프 모텔20190704094817U2019-07-06 02:40:00.0여관업343650.775166264390.749311여관업00000011260N0<NA><NA><NA><NA>0<NA><NA>00N
78숙박업03_11_03_P34100003410000-201-1977-0000519770202<NA>1영업/정상1영업<NA><NA><NA><NA>053 554216955.72700841대구광역시 중구 달성동 0273번지대구광역시 중구 달성로21길 9-10 (달성동)41923수복20190819170807U2019-08-21 02:40:00.0여인숙업342725.622396264953.890986여인숙업0000001300N0<NA><NA><NA><NA>0<NA><NA>00N
89숙박업03_11_03_P34100003410000-201-1997-0000219971119<NA>1영업/정상1영업<NA><NA><NA><NA>053 2573686510.63700832대구광역시 중구 남산동 0698-0018대구광역시 중구 중앙대로65길 17 (남산동)41967라온모텔20200721160357U2020-07-23 02:40:00.0여관업343705.192875263586.467171여관업3133001800N0<NA><NA><NA><NA>0<NA><NA>00N
910숙박업03_11_03_P34100003410000-201-2010-0000120101111<NA>1영업/정상1영업<NA><NA><NA><NA>053 2522286288.88700191대구광역시 중구 종로1가 0041-0082번지대구광역시 중구 종로 44-31 (종로1가)41935아리랑 민속모텔20191209092938U2019-12-11 02:40:00.0숙박업 기타343746.379146264515.775816숙박업 기타0000001100N0<NA><NA><NA>자가0<NA><NA>00N
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
17361737숙박업03_11_03_P34800003480000-201-1995-0001219951229<NA>1영업/정상1영업<NA><NA><NA><NA>053 6165009794.00711844대구광역시 달성군 옥포면 반송리 350-2번지대구광역시 달성군 옥포면 용연사길 84-942977앤모텔20171123103410I2018-08-31 23:59:59.0여관업335776.367701251454.323528여관업4113000240N0<NA><NA><NA>임대0<NA><NA>00N
17371738숙박업03_11_03_P34800003480000-201-1997-0001319970430<NA>1영업/정상1영업<NA><NA><NA><NA>053 6160177658.89711874대구광역시 달성군 현풍면 하리 204번지대구광역시 달성군 현풍면 현풍중앙로 51-443003동원장여관20180726094909I2018-08-31 23:59:59.0여관업330623.604677244752.614707여관업40240013100N0<NA><NA><NA>자가0<NA><NA>00N
17381739숙박업03_11_03_P34800003480000-201-1994-0001019941220<NA>1영업/정상1영업<NA><NA><NA><NA>053 58188431,125.48711821대구광역시 달성군 하빈면 하산리 1054-3번지대구광역시 달성군 하빈면 하목정길 4942900비즈니스호텔 유럽20171123103004I2018-08-31 23:59:59.0여관업326172.635898265379.321278여관업41441120130N0<NA><NA><NA>자가0<NA><NA>00N
17391740숙박업03_11_03_P34800003480000-201-1995-0001119951130<NA>1영업/정상1영업<NA><NA><NA><NA>053 261 55771,050.56711844대구광역시 달성군 옥포면 김흥리 629-1번지대구광역시 달성군 옥포면 옥포로113길 342977비너스모텔20180730160747I2018-08-31 23:59:59.0여관업334845.417663250608.694875여관업51250011210N0<NA><NA><NA>자가0<NA><NA>00N
17401741숙박업03_11_03_P34800003480000-201-1986-0000119861222<NA>1영업/정상1영업<NA><NA><NA><NA>053 2635688608.00711841대구광역시 달성군 옥포면 간경리 850번지대구광역시 달성군 옥포면 비슬로457길 342972모텔 이너스20180518165734I2018-08-31 23:59:59.0여관업332870.658242255521.770518여관업4024001650N0<NA><NA><NA>자가0<NA><NA>00N
17411742숙박업03_11_03_P34800003480000-201-1988-0000319881220<NA>1영업/정상1영업<NA><NA><NA><NA>053 614 0477351.60711852대구광역시 달성군 논공읍 남리 224-96대구광역시 달성군 논공읍 논공로 83442978원앙파크장20200713181518U2020-07-15 02:40:00.0여관업329851.611095248437.262624여관업3123002130N0<NA><NA><NA>임대0<NA><NA>00N
17421743숙박업03_11_03_P34800003480000-201-1994-0000719940730<NA>1영업/정상1영업<NA><NA><NA><NA>053 7675002641.00711863대구광역시 달성군 가창면 삼산리 965번지대구광역시 달성군 가창면 우록길 6042940힐링20180730114543I2018-08-31 23:59:59.0여관업349820.526547249108.900599여관업3113002220N0<NA><NA><NA>자가0<NA><NA>00N
17431744숙박업03_11_03_P34800003480000-201-1995-0000619950315<NA>1영업/정상1영업<NA><NA><NA><NA>053 7682355940.00711863대구광역시 달성군 가창면 삼산리 276-2대구광역시 달성군 가창면 가창로 17842940레드모텔20200706183318U2020-07-08 02:40:00.0여관업350553.884052249356.52424여관업4014000200N0<NA><NA><NA>임대0<NA><NA>00N
17441745숙박업03_11_03_P34800003480000-201-1997-0001519970104<NA>1영업/정상1영업<NA><NA><NA><NA>053 627 6666801.66<NA>대구광역시 달성군 유가읍 유곡리 837-1대구광역시 달성군 유가읍 비슬로64길 2242993호텔히든20200713185247U2020-07-15 02:40:00.0여관업331020.000269242124.922955여관업4024006210N0<NA><NA><NA>자가0<NA><NA>00N
17451746숙박업03_11_03_P34800003480000-201-1996-0001219961227<NA>1영업/정상1영업<NA><NA><NA><NA>053 6162937861.00711844대구광역시 달성군 옥포면 김흥리 427번지대구광역시 달성군 옥포면 옥포로 61742977발렌타인 모텔20171123103820I2018-08-31 23:59:59.0여관업334369.738024250577.153468여관업3013004230N0<NA><NA><NA>임대0<NA><NA>00N