Overview

Dataset statistics

Number of variables50
Number of observations1744
Missing cells15006
Missing cells (%)17.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory735.9 KiB
Average record size in memory432.1 B

Variable types

Numeric17
Categorical19
Text7
Unsupported4
DateTime1
Boolean2

Dataset

Description6270000_대구광역시_03_11_03_P_숙박업_11월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000078135&dataSetDetailId=DDI_0000078179&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 (54.5%)Imbalance
위생업태명 is highly imbalanced (57.4%)Imbalance
조건부허가시작일자 is highly imbalanced (99.3%)Imbalance
조건부허가종료일자 is highly imbalanced (99.3%)Imbalance
남성종사자수 is highly imbalanced (90.1%)Imbalance
침대수 is highly imbalanced (57.6%)Imbalance
다중이용업소여부 is highly imbalanced (97.2%)Imbalance
인허가취소일자 has 1744 (100.0%) missing valuesMissing
폐업일자 has 862 (49.4%) missing valuesMissing
휴업시작일자 has 1744 (100.0%) missing valuesMissing
휴업종료일자 has 1744 (100.0%) missing valuesMissing
재개업일자 has 1744 (100.0%) missing valuesMissing
소재지전화 has 97 (5.6%) missing valuesMissing
도로명전체주소 has 610 (35.0%) missing valuesMissing
도로명우편번호 has 634 (36.4%) missing valuesMissing
좌표정보(X) has 109 (6.2%) missing valuesMissing
좌표정보(Y) has 109 (6.2%) missing valuesMissing
건물지상층수 has 188 (10.8%) missing valuesMissing
건물지하층수 has 378 (21.7%) missing valuesMissing
사용시작지상층 has 326 (18.7%) missing valuesMissing
사용끝지상층 has 382 (21.9%) missing valuesMissing
한실수 has 164 (9.4%) missing valuesMissing
양실수 has 192 (11.0%) missing valuesMissing
좌석수 has 535 (30.7%) missing valuesMissing
조건부허가신고사유 has 1743 (99.9%) missing valuesMissing
여성종사자수 has 1675 (96.0%) missing valuesMissing
좌석수 is highly skewed (γ1 = 30.59093651)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 614 (35.2%) zerosZeros
사용시작지상층 has 422 (24.2%) zerosZeros
사용끝지상층 has 269 (15.4%) zerosZeros
한실수 has 434 (24.9%) zerosZeros
양실수 has 183 (10.5%) zerosZeros
좌석수 has 1202 (68.9%) zerosZeros
여성종사자수 has 35 (2.0%) zerosZeros

Reproduction

Analysis started2023-12-10 19:40:42.401199
Analysis finished2023-12-10 19:40:44.156352
Duration1.76 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1744
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean872.5
Minimum1
Maximum1744
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T04:40:44.248459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile88.15
Q1436.75
median872.5
Q31308.25
95-th percentile1656.85
Maximum1744
Range1743
Interquartile range (IQR)871.5

Descriptive statistics

Standard deviation503.59375
Coefficient of variation (CV)0.57718482
Kurtosis-1.2
Mean872.5
Median Absolute Deviation (MAD)436
Skewness0
Sum1521640
Variance253606.67
MonotonicityStrictly increasing
2023-12-11T04:40:44.458209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1161 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%
1165 1
 
0.1%
Other values (1734) 1734
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 (%)
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%
1736 1
0.1%
1735 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
숙박업
1744 

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 1744
100.0%

Length

2023-12-11T04:40:44.648641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:40:44.795655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숙박업 1744
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
03_11_03_P
1744 

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 1744
100.0%

Length

2023-12-11T04:40:44.932287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:40:45.062406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_11_03_p 1744
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3437884.2
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T04:40:45.187353image/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 deviation21582.443
Coefficient of variation (CV)0.0062778272
Kurtosis-1.1523848
Mean3437884.2
Median Absolute Deviation (MAD)20000
Skewness0.40662626
Sum5.99567 × 109
Variance4.6580184 × 108
MonotonicityIncreasing
2023-12-11T04:40:45.349305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3420000 427
24.5%
3430000 300
17.2%
3410000 240
13.8%
3450000 206
11.8%
3470000 203
11.6%
3460000 191
11.0%
3440000 100
 
5.7%
3480000 77
 
4.4%
ValueCountFrequency (%)
3410000 240
13.8%
3420000 427
24.5%
3430000 300
17.2%
3440000 100
 
5.7%
3450000 206
11.8%
3460000 191
11.0%
3470000 203
11.6%
3480000 77
 
4.4%
ValueCountFrequency (%)
3480000 77
 
4.4%
3470000 203
11.6%
3460000 191
11.0%
3450000 206
11.8%
3440000 100
 
5.7%
3430000 300
17.2%
3420000 427
24.5%
3410000 240
13.8%

관리번호
Text

UNIQUE 

Distinct1744
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
2023-12-11T04:40:45.631323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters38368
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

Unique1744 ?
Unique (%)100.0%

Sample

1st row3410000-201-2008-00002
2nd row3410000-201-2016-00001
3rd row3410000-201-1986-00001
4th row3410000-201-1963-00001
5th row3410000-201-1973-00002
ValueCountFrequency (%)
3410000-201-2008-00002 1
 
0.1%
3450000-201-2001-00024 1
 
0.1%
3450000-201-1997-00024 1
 
0.1%
3450000-201-1997-00023 1
 
0.1%
3450000-201-1999-00015 1
 
0.1%
3450000-201-1997-00044 1
 
0.1%
3450000-201-2000-00007 1
 
0.1%
3450000-201-1999-00014 1
 
0.1%
3450000-201-1987-00001 1
 
0.1%
3450000-201-2001-00011 1
 
0.1%
Other values (1734) 1734
99.4%
2023-12-11T04:40:46.152156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16734
43.6%
- 5232
 
13.6%
1 3928
 
10.2%
2 3599
 
9.4%
3 2712
 
7.1%
4 2243
 
5.8%
9 1496
 
3.9%
7 773
 
2.0%
8 601
 
1.6%
6 554
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33136
86.4%
Dash Punctuation 5232
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16734
50.5%
1 3928
 
11.9%
2 3599
 
10.9%
3 2712
 
8.2%
4 2243
 
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 (%)
- 5232
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38368
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16734
43.6%
- 5232
 
13.6%
1 3928
 
10.2%
2 3599
 
9.4%
3 2712
 
7.1%
4 2243
 
5.8%
9 1496
 
3.9%
7 773
 
2.0%
8 601
 
1.6%
6 554
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16734
43.6%
- 5232
 
13.6%
1 3928
 
10.2%
2 3599
 
9.4%
3 2712
 
7.1%
4 2243
 
5.8%
9 1496
 
3.9%
7 773
 
2.0%
8 601
 
1.6%
6 554
 
1.4%

인허가일자
Real number (ℝ)

Distinct1257
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19955117
Minimum19601112
Maximum20191128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T04:40:46.381732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19601112
5-th percentile19730541
Q119870726
median20000313
Q320030718
95-th percentile20120359
Maximum20191128
Range590016
Interquartile range (IQR)159991.5

Descriptive statistics

Standard deviation115599.25
Coefficient of variation (CV)0.0057929627
Kurtosis-0.033786206
Mean19955117
Median Absolute Deviation (MAD)30794
Skewness-0.7641455
Sum3.4801723 × 1010
Variance1.3363186 × 1010
MonotonicityNot monotonic
2023-12-11T04:40:46.625332image/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 (1247) 1475
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 (%)
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%
20190528 1
0.1%
20190523 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1744
Missing (%)100.0%
Memory size15.5 KiB
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
3
884 
1
860 

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 (%)
3 884
50.7%
1 860
49.3%

Length

2023-12-11T04:40:46.851342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:40:47.014792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 884
50.7%
1 860
49.3%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
폐업
884 
영업/정상
860 

Length

Max length5
Median length2
Mean length3.4793578
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 884
50.7%
영업/정상 860
49.3%

Length

2023-12-11T04:40:47.180007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:40:47.349550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 884
50.7%
영업/정상 860
49.3%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
2
884 
1
860 

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 (%)
2 884
50.7%
1 860
49.3%

Length

2023-12-11T04:40:47.521464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:40:47.664785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 884
50.7%
1 860
49.3%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
폐업
884 
영업
860 

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 884
50.7%
영업 860
49.3%

Length

2023-12-11T04:40:47.813511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:40:47.974107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 884
50.7%
영업 860
49.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct674
Distinct (%)76.4%
Missing862
Missing (%)49.4%
Infinite0
Infinite (%)0.0%
Mean20088789
Minimum20000430
Maximum20191129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T04:40:48.165660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20000430
5-th percentile20030304
Q120040418
median20070530
Q320140781
95-th percentile20190211
Maximum20191129
Range190699
Interquartile range (IQR)100363.75

Descriptive statistics

Standard deviation56107.295
Coefficient of variation (CV)0.0027929656
Kurtosis-1.1660215
Mean20088789
Median Absolute Deviation (MAD)39417.5
Skewness0.53271149
Sum1.7718312 × 1010
Variance3.1480286 × 109
MonotonicityNot monotonic
2023-12-11T04:40:48.398220image/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%
20040417 5
 
0.3%
Other values (664) 784
45.0%
(Missing) 862
49.4%
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 (%)
20191129 2
0.1%
20191128 1
 
0.1%
20191115 1
 
0.1%
20191113 1
 
0.1%
20191031 1
 
0.1%
20191030 1
 
0.1%
20191029 2
0.1%
20191025 4
0.2%
20191011 1
 
0.1%
20191010 1
 
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1744
Missing (%)100.0%
Memory size15.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1744
Missing (%)100.0%
Memory size15.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1744
Missing (%)100.0%
Memory size15.5 KiB

소재지전화
Text

MISSING 

Distinct1590
Distinct (%)96.5%
Missing97
Missing (%)5.6%
Memory size13.8 KiB
2023-12-11T04:40:48.807680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.80085
Min length1

Characters and Unicode

Total characters17789
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

Unique1536 ?
Unique (%)93.3%

Sample

1st row053 6641155
2nd row053 4227471
3rd row053 5716030
4th row053 5542696
5th row053 4231200
ValueCountFrequency (%)
053 1457
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 (1678) 1812
54.0%
2023-12-11T04:40:49.344426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 3395
19.1%
3 2674
15.0%
0 2535
14.3%
1760
9.9%
2 1291
 
7.3%
6 1243
 
7.0%
7 1171
 
6.6%
4 1014
 
5.7%
1 966
 
5.4%
9 940
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16029
90.1%
Space Separator 1760
 
9.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3395
21.2%
3 2674
16.7%
0 2535
15.8%
2 1291
 
8.1%
6 1243
 
7.8%
7 1171
 
7.3%
4 1014
 
6.3%
1 966
 
6.0%
9 940
 
5.9%
8 800
 
5.0%
Space Separator
ValueCountFrequency (%)
1760
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17789
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3395
19.1%
3 2674
15.0%
0 2535
14.3%
1760
9.9%
2 1291
 
7.3%
6 1243
 
7.0%
7 1171
 
6.6%
4 1014
 
5.7%
1 966
 
5.4%
9 940
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17789
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 3395
19.1%
3 2674
15.0%
0 2535
14.3%
1760
9.9%
2 1291
 
7.3%
6 1243
 
7.0%
7 1171
 
6.6%
4 1014
 
5.7%
1 966
 
5.4%
9 940
 
5.3%
Distinct1475
Distinct (%)85.0%
Missing8
Missing (%)0.5%
Memory size13.8 KiB
2023-12-11T04:40:49.786880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.1883641
Min length3

Characters and Unicode

Total characters10743
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

Unique1340 ?
Unique (%)77.2%

Sample

1st row33,389.00
2nd row283.30
3rd row381.25
4th row69.30
5th row25.00
ValueCountFrequency (%)
00 79
 
4.6%
264.00 7
 
0.4%
35.00 6
 
0.3%
100.00 6
 
0.3%
48.00 6
 
0.3%
1,835.44 4
 
0.2%
132.00 4
 
0.2%
900.00 4
 
0.2%
20.00 4
 
0.2%
925.00 3
 
0.2%
Other values (1465) 1613
92.9%
2023-12-11T04:40:50.332918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1903
17.7%
. 1736
16.2%
1 986
9.2%
2 803
7.5%
4 792
7.4%
8 771
7.2%
5 750
 
7.0%
6 706
 
6.6%
3 697
 
6.5%
9 638
 
5.9%
Other values (2) 961
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8626
80.3%
Other Punctuation 2117
 
19.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1903
22.1%
1 986
11.4%
2 803
9.3%
4 792
9.2%
8 771
8.9%
5 750
 
8.7%
6 706
 
8.2%
3 697
 
8.1%
9 638
 
7.4%
7 580
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 1736
82.0%
, 381
 
18.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10743
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1903
17.7%
. 1736
16.2%
1 986
9.2%
2 803
7.5%
4 792
7.4%
8 771
7.2%
5 750
 
7.0%
6 706
 
6.6%
3 697
 
6.5%
9 638
 
5.9%
Other values (2) 961
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10743
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1903
17.7%
. 1736
16.2%
1 986
9.2%
2 803
7.5%
4 792
7.4%
8 771
7.2%
5 750
 
7.0%
6 706
 
6.6%
3 697
 
6.5%
9 638
 
5.9%
Other values (2) 961
8.9%

소재지우편번호
Real number (ℝ)

Distinct296
Distinct (%)17.0%
Missing7
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean703587.17
Minimum700020
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T04:40:50.546969image/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 deviation2586.6708
Coefficient of variation (CV)0.0036764041
Kurtosis1.964061
Mean703587.17
Median Absolute Deviation (MAD)1076
Skewness1.2545819
Sum1.2221309 × 109
Variance6690865.7
MonotonicityNot monotonic
2023-12-11T04:40:50.982373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
706800 53
 
3.0%
703848 53
 
3.0%
701816 50
 
2.9%
701827 46
 
2.6%
704914 45
 
2.6%
701812 41
 
2.4%
703819 37
 
2.1%
706853 36
 
2.1%
701815 31
 
1.8%
703824 29
 
1.7%
Other values (286) 1316
75.5%
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 5
 
0.3%
711863 16
0.9%
711861 1
 
0.1%
711858 1
 
0.1%
711852 12
0.7%
711851 1
 
0.1%
Distinct1587
Distinct (%)91.1%
Missing2
Missing (%)0.1%
Memory size13.8 KiB
2023-12-11T04:40:51.424504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length50
Mean length22.680253
Min length18

Characters and Unicode

Total characters39509
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

Unique1438 ?
Unique (%)82.5%

Sample

1st row대구광역시 중구 문화동 0011-0001번지
2nd row대구광역시 중구 도원동 0003-0139번지 지상1,2,3층
3rd row대구광역시 중구 삼덕동1가 0055-0012번지
4th row대구광역시 중구 달성동 0274번지
5th row대구광역시 중구 대신동 0001-0032번지
ValueCountFrequency (%)
대구광역시 1742
24.3%
동구 427
 
5.9%
서구 300
 
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 (1745) 3454
48.1%
2023-12-11T04:40:52.098278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7180
18.2%
3417
 
8.6%
2111
 
5.3%
1894
 
4.8%
1831
 
4.6%
1756
 
4.4%
1745
 
4.4%
1743
 
4.4%
1742
 
4.4%
1 1660
 
4.2%
Other values (156) 14430
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22068
55.9%
Decimal Number 8571
 
21.7%
Space Separator 7180
 
18.2%
Dash Punctuation 1569
 
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 (%)
3417
15.5%
2111
9.6%
1894
 
8.6%
1831
 
8.3%
1756
 
8.0%
1745
 
7.9%
1743
 
7.9%
1742
 
7.9%
514
 
2.3%
386
 
1.7%
Other values (130) 4929
22.3%
Decimal Number
ValueCountFrequency (%)
1 1660
19.4%
0 1317
15.4%
2 1153
13.5%
3 920
10.7%
4 689
8.0%
5 662
 
7.7%
8 567
 
6.6%
7 560
 
6.5%
6 559
 
6.5%
9 484
 
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 (%)
7180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1569
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22068
55.9%
Common 17434
44.1%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3417
15.5%
2111
9.6%
1894
 
8.6%
1831
 
8.3%
1756
 
8.0%
1745
 
7.9%
1743
 
7.9%
1742
 
7.9%
514
 
2.3%
386
 
1.7%
Other values (130) 4929
22.3%
Common
ValueCountFrequency (%)
7180
41.2%
1 1660
 
9.5%
- 1569
 
9.0%
0 1317
 
7.6%
2 1153
 
6.6%
3 920
 
5.3%
4 689
 
4.0%
5 662
 
3.8%
8 567
 
3.3%
7 560
 
3.2%
Other values (11) 1157
 
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 22068
55.9%
ASCII 17441
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7180
41.2%
1 1660
 
9.5%
- 1569
 
9.0%
0 1317
 
7.6%
2 1153
 
6.6%
3 920
 
5.3%
4 689
 
4.0%
5 662
 
3.8%
8 567
 
3.3%
7 560
 
3.2%
Other values (16) 1164
 
6.7%
Hangul
ValueCountFrequency (%)
3417
15.5%
2111
9.6%
1894
 
8.6%
1831
 
8.3%
1756
 
8.0%
1745
 
7.9%
1743
 
7.9%
1742
 
7.9%
514
 
2.3%
386
 
1.7%
Other values (130) 4929
22.3%

도로명전체주소
Text

MISSING 

Distinct1118
Distinct (%)98.6%
Missing610
Missing (%)35.0%
Memory size13.8 KiB
2023-12-11T04:40:52.559175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length39
Mean length25.141093
Min length19

Characters and Unicode

Total characters28510
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 (%)97.3%

Sample

1st row대구광역시 중구 국채보상로 611 (문화동)
2nd row대구광역시 중구 태평로 52-4 (도원동, 지상1,2,3층)
3rd row대구광역시 중구 동성로5길 94-17 (삼덕동1가)
4th row대구광역시 중구 달성로21길 9-9 (달성동)
5th row대구광역시 중구 달성공원로6길 12 (대신동)
ValueCountFrequency (%)
대구광역시 1134
 
19.7%
동구 286
 
5.0%
서구 163
 
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 (1098) 3369
58.5%
2023-12-11T04:40:53.248076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4628
 
16.2%
2381
 
8.4%
1598
 
5.6%
1490
 
5.2%
1151
 
4.0%
1137
 
4.0%
1134
 
4.0%
1131
 
4.0%
) 1084
 
3.8%
( 1084
 
3.8%
Other values (190) 11692
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16695
58.6%
Space Separator 4628
 
16.2%
Decimal Number 4467
 
15.7%
Close Punctuation 1084
 
3.8%
Open Punctuation 1084
 
3.8%
Dash Punctuation 372
 
1.3%
Other Punctuation 129
 
0.5%
Math Symbol 51
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2381
14.3%
1598
 
9.6%
1490
 
8.9%
1151
 
6.9%
1137
 
6.8%
1134
 
6.8%
1131
 
6.8%
626
 
3.7%
463
 
2.8%
345
 
2.1%
Other values (171) 5239
31.4%
Decimal Number
ValueCountFrequency (%)
1 1018
22.8%
2 794
17.8%
3 493
11.0%
4 399
 
8.9%
5 381
 
8.5%
6 344
 
7.7%
0 279
 
6.2%
8 276
 
6.2%
7 260
 
5.8%
9 223
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 124
96.1%
. 4
 
3.1%
' 1
 
0.8%
Math Symbol
ValueCountFrequency (%)
~ 50
98.0%
> 1
 
2.0%
Space Separator
ValueCountFrequency (%)
4628
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1084
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1084
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 372
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16695
58.6%
Common 11815
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2381
14.3%
1598
 
9.6%
1490
 
8.9%
1151
 
6.9%
1137
 
6.8%
1134
 
6.8%
1131
 
6.8%
626
 
3.7%
463
 
2.8%
345
 
2.1%
Other values (171) 5239
31.4%
Common
ValueCountFrequency (%)
4628
39.2%
) 1084
 
9.2%
( 1084
 
9.2%
1 1018
 
8.6%
2 794
 
6.7%
3 493
 
4.2%
4 399
 
3.4%
5 381
 
3.2%
- 372
 
3.1%
6 344
 
2.9%
Other values (9) 1218
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16695
58.6%
ASCII 11815
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4628
39.2%
) 1084
 
9.2%
( 1084
 
9.2%
1 1018
 
8.6%
2 794
 
6.7%
3 493
 
4.2%
4 399
 
3.4%
5 381
 
3.2%
- 372
 
3.1%
6 344
 
2.9%
Other values (9) 1218
 
10.3%
Hangul
ValueCountFrequency (%)
2381
14.3%
1598
 
9.6%
1490
 
8.9%
1151
 
6.9%
1137
 
6.8%
1134
 
6.8%
1131
 
6.8%
626
 
3.7%
463
 
2.8%
345
 
2.1%
Other values (171) 5239
31.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct336
Distinct (%)30.3%
Missing634
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean41891.457
Minimum41001
Maximum43017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T04:40:53.451759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41001
5-th percentile41142.45
Q141422
median41862
Q342406.75
95-th percentile42900
Maximum43017
Range2016
Interquartile range (IQR)984.75

Descriptive statistics

Standard deviation566.11337
Coefficient of variation (CV)0.013513814
Kurtosis-0.98948477
Mean41891.457
Median Absolute Deviation (MAD)542.5
Skewness0.28964119
Sum46499517
Variance320484.35
MonotonicityNot monotonic
2023-12-11T04:40:53.656970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42149 23
 
1.3%
42713 21
 
1.2%
42684 21
 
1.2%
41223 19
 
1.1%
42171 17
 
1.0%
41918 17
 
1.0%
42714 16
 
0.9%
41007 16
 
0.9%
41216 16
 
0.9%
41911 16
 
0.9%
Other values (326) 928
53.2%
(Missing) 634
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%
Distinct1468
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
2023-12-11T04:40:54.069642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27
Mean length4.5607798
Min length1

Characters and Unicode

Total characters7954
Distinct characters494
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

Unique1271 ?
Unique (%)72.9%

Sample

1st row노보텔 앰배서더 대구
2nd row하얀여관
3rd row그린
4th row한성
5th row신흥
ValueCountFrequency (%)
모텔 24
 
1.3%
여관 21
 
1.1%
호텔 12
 
0.6%
산장여관 8
 
0.4%
hotel 6
 
0.3%
청수여관 5
 
0.3%
현대여인숙 5
 
0.3%
젠모텔 5
 
0.3%
스위트호텔 5
 
0.3%
앤모텔 5
 
0.3%
Other values (1482) 1757
94.8%
2023-12-11T04:40:54.660968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
654
 
8.2%
576
 
7.2%
510
 
6.4%
488
 
6.1%
358
 
4.5%
178
 
2.2%
161
 
2.0%
129
 
1.6%
121
 
1.5%
119
 
1.5%
Other values (484) 4660
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7193
90.4%
Uppercase Letter 285
 
3.6%
Space Separator 111
 
1.4%
Open Punctuation 104
 
1.3%
Close Punctuation 104
 
1.3%
Lowercase Letter 80
 
1.0%
Decimal Number 62
 
0.8%
Other Punctuation 11
 
0.1%
Dash Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
654
 
9.1%
576
 
8.0%
510
 
7.1%
488
 
6.8%
358
 
5.0%
178
 
2.5%
161
 
2.2%
129
 
1.8%
121
 
1.7%
119
 
1.7%
Other values (417) 3899
54.2%
Uppercase Letter
ValueCountFrequency (%)
O 27
 
9.5%
E 27
 
9.5%
T 25
 
8.8%
L 23
 
8.1%
M 21
 
7.4%
S 20
 
7.0%
A 17
 
6.0%
H 14
 
4.9%
G 12
 
4.2%
K 10
 
3.5%
Other values (15) 89
31.2%
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%
u 3
 
3.8%
d 3
 
3.8%
Other values (12) 18
22.5%
Decimal Number
ValueCountFrequency (%)
2 27
43.5%
1 8
 
12.9%
7 7
 
11.3%
0 5
 
8.1%
3 4
 
6.5%
5 3
 
4.8%
6 3
 
4.8%
9 2
 
3.2%
4 2
 
3.2%
8 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 5
45.5%
' 3
27.3%
! 1
 
9.1%
# 1
 
9.1%
, 1
 
9.1%
Space Separator
ValueCountFrequency (%)
111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 104
100.0%
Close Punctuation
ValueCountFrequency (%)
) 104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7192
90.4%
Common 396
 
5.0%
Latin 365
 
4.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
654
 
9.1%
576
 
8.0%
510
 
7.1%
488
 
6.8%
358
 
5.0%
178
 
2.5%
161
 
2.2%
129
 
1.8%
121
 
1.7%
119
 
1.7%
Other values (416) 3898
54.2%
Latin
ValueCountFrequency (%)
O 27
 
7.4%
E 27
 
7.4%
T 25
 
6.8%
L 23
 
6.3%
M 21
 
5.8%
S 20
 
5.5%
A 17
 
4.7%
H 14
 
3.8%
o 13
 
3.6%
G 12
 
3.3%
Other values (37) 166
45.5%
Common
ValueCountFrequency (%)
111
28.0%
( 104
26.3%
) 104
26.3%
2 27
 
6.8%
1 8
 
2.0%
7 7
 
1.8%
. 5
 
1.3%
0 5
 
1.3%
3 4
 
1.0%
5 3
 
0.8%
Other values (10) 18
 
4.5%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7192
90.4%
ASCII 761
 
9.6%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
654
 
9.1%
576
 
8.0%
510
 
7.1%
488
 
6.8%
358
 
5.0%
178
 
2.5%
161
 
2.2%
129
 
1.8%
121
 
1.7%
119
 
1.7%
Other values (416) 3898
54.2%
ASCII
ValueCountFrequency (%)
111
14.6%
( 104
 
13.7%
) 104
 
13.7%
O 27
 
3.5%
E 27
 
3.5%
2 27
 
3.5%
T 25
 
3.3%
L 23
 
3.0%
M 21
 
2.8%
S 20
 
2.6%
Other values (57) 272
35.7%
CJK
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct1463
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0129021 × 1013
Minimum2.0020122 × 1013
Maximum2.0191129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T04:40:54.839501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0020122 × 1013
5-th percentile2.0021209 × 1013
Q12.0050202 × 1013
median2.017112 × 1013
Q32.019011 × 1013
95-th percentile2.0191016 × 1013
Maximum2.0191129 × 1013
Range1.7100716 × 1011
Interquartile range (IQR)1.3990766 × 1011

Descriptive statistics

Standard deviation6.6707147 × 1010
Coefficient of variation (CV)0.0033139788
Kurtosis-1.4810122
Mean2.0129021 × 1013
Median Absolute Deviation (MAD)1.9783008 × 1010
Skewness-0.55859711
Sum3.5105012 × 1016
Variance4.4498434 × 1021
MonotonicityNot monotonic
2023-12-11T04:40:55.016858image/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%
20030731000000 10
 
0.6%
20030814000000 10
 
0.6%
20040511000000 9
 
0.5%
20020328000000 9
 
0.5%
20020913000000 9
 
0.5%
Other values (1453) 1608
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 (%)
20191129163347 1
0.1%
20191129162932 1
0.1%
20191129162002 1
0.1%
20191129152252 1
0.1%
20191129140622 1
0.1%
20191129140324 1
0.1%
20191129140219 1
0.1%
20191129130333 1
0.1%
20191129110123 1
0.1%
20191128175545 1
0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
I
1216 
U
528 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1216
69.7%
U 528
30.3%

Length

2023-12-11T04:40:55.204782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:40:55.389954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1216
69.7%
u 528
30.3%
Distinct219
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
Minimum2018-08-31 23:59:59
Maximum2019-12-01 02:40:00
2023-12-11T04:40:55.572135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:40:55.783440image/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
1363 
여인숙업
179 
숙박업 기타
 
94
일반호텔
 
55
관광호텔
 
40

Length

Max length7
Median length3
Mean length3.3486239
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여관업 1363
78.2%
여인숙업 179
 
10.3%
숙박업 기타 94
 
5.4%
일반호텔 55
 
3.2%
관광호텔 40
 
2.3%
숙박업(생활) 13
 
0.7%

Length

2023-12-11T04:40:55.997852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:40:56.149558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여관업 1363
74.2%
여인숙업 179
 
9.7%
숙박업 94
 
5.1%
기타 94
 
5.1%
일반호텔 55
 
3.0%
관광호텔 40
 
2.2%
숙박업(생활 13
 
0.7%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1446
Distinct (%)88.4%
Missing109
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean343525.99
Minimum326165.89
Maximum356639.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T04:40:56.346319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326165.89
5-th percentile335157.3
Q1340693.87
median343789.14
Q3346655.21
95-th percentile349169.27
Maximum356639.97
Range30474.084
Interquartile range (IQR)5961.3366

Descriptive statistics

Standard deviation4316.1826
Coefficient of variation (CV)0.012564355
Kurtosis1.5326742
Mean343525.99
Median Absolute Deviation (MAD)2961.0795
Skewness-0.53289017
Sum5.61665 × 108
Variance18629432
MonotonicityNot monotonic
2023-12-11T04:40:56.536823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
346512.307811 3
 
0.2%
346478.460358 3
 
0.2%
340458.952586 3
 
0.2%
344309.75555 3
 
0.2%
355795.444667 3
 
0.2%
340426.468133 3
 
0.2%
352544.044045 3
 
0.2%
344704.21692 3
 
0.2%
340507.314024 3
 
0.2%
340431.31276 3
 
0.2%
Other values (1436) 1605
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 (%)88.4%
Missing109
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean264090.2
Minimum239016.21
Maximum278167.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T04:40:56.732334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239016.21
5-th percentile259468.09
Q1262061.81
median264727.27
Q3265879.51
95-th percentile268704.08
Maximum278167.56
Range39151.353
Interquartile range (IQR)3817.7045

Descriptive statistics

Standard deviation4355.2867
Coefficient of variation (CV)0.016491663
Kurtosis7.6161508
Mean264090.2
Median Absolute Deviation (MAD)1415.3411
Skewness-1.1393249
Sum4.3178748 × 108
Variance18968522
MonotonicityNot monotonic
2023-12-11T04:40:56.954257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261076.547247 3
 
0.2%
260883.377943 3
 
0.2%
264541.886823 3
 
0.2%
265136.229046 3
 
0.2%
275764.967013 3
 
0.2%
266143.989836 3
 
0.2%
277984.019293 3
 
0.2%
264809.327072 3
 
0.2%
263962.430615 3
 
0.2%
264403.374415 3
 
0.2%
Other values (1436) 1605
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
1360 
여인숙업
179 
숙박업 기타
 
94
일반호텔
 
55
관광호텔
 
40
Other values (2)
 
16

Length

Max length7
Median length3
Mean length3.350344
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여관업 1360
78.0%
여인숙업 179
 
10.3%
숙박업 기타 94
 
5.4%
일반호텔 55
 
3.2%
관광호텔 40
 
2.3%
숙박업(생활) 13
 
0.7%
<NA> 3
 
0.2%

Length

2023-12-11T04:40:57.156308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:40:57.326421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여관업 1360
74.0%
여인숙업 179
 
9.7%
숙박업 94
 
5.1%
기타 94
 
5.1%
일반호텔 55
 
3.0%
관광호텔 40
 
2.2%
숙박업(생활 13
 
0.7%
na 3
 
0.2%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)1.0%
Missing188
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean3.0520566
Minimum0
Maximum23
Zeros309
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T04:40:57.480199image/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 deviation2.2239248
Coefficient of variation (CV)0.72866434
Kurtosis5.4772603
Mean3.0520566
Median Absolute Deviation (MAD)1
Skewness1.0422658
Sum4749
Variance4.9458414
MonotonicityNot monotonic
2023-12-11T04:40:57.642324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
4 324
18.6%
3 310
17.8%
0 309
17.7%
2 232
13.3%
5 182
10.4%
6 76
 
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) 188
10.8%
ValueCountFrequency (%)
0 309
17.7%
1 47
 
2.7%
2 232
13.3%
3 310
17.8%
4 324
18.6%
5 182
10.4%
6 76
 
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 76
4.4%

건물지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.6%
Missing378
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean0.59224012
Minimum0
Maximum9
Zeros614
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T04:40:57.796076image/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 deviation0.66513253
Coefficient of variation (CV)1.1230791
Kurtosis30.501402
Mean0.59224012
Median Absolute Deviation (MAD)0
Skewness3.3169286
Sum809
Variance0.44240128
MonotonicityNot monotonic
2023-12-11T04:40:57.948778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 728
41.7%
0 614
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) 378
21.7%
ValueCountFrequency (%)
0 614
35.2%
1 728
41.7%
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%
1 728
41.7%
0 614
35.2%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)0.8%
Missing326
Missing (%)18.7%
Infinite0
Infinite (%)0.0%
Mean1.2729196
Minimum0
Maximum10
Zeros422
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T04:40:58.096004image/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 deviation1.3533669
Coefficient of variation (CV)1.0631991
Kurtosis6.111205
Mean1.2729196
Median Absolute Deviation (MAD)1
Skewness1.9373035
Sum1805
Variance1.8316021
MonotonicityNot monotonic
2023-12-11T04:40:58.272647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 573
32.9%
0 422
24.2%
2 214
 
12.3%
3 113
 
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) 326
18.7%
ValueCountFrequency (%)
0 422
24.2%
1 573
32.9%
2 214
 
12.3%
3 113
 
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%
3 113
 
6.5%
2 214
 
12.3%
1 573
32.9%

사용끝지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)1.2%
Missing382
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean2.9992658
Minimum0
Maximum22
Zeros269
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T04:40:58.418447image/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 deviation2.185215
Coefficient of variation (CV)0.72858333
Kurtosis5.7472885
Mean2.9992658
Median Absolute Deviation (MAD)1
Skewness1.0832431
Sum4085
Variance4.7751648
MonotonicityNot monotonic
2023-12-11T04:40:58.578101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3 303
17.4%
4 271
15.5%
0 269
15.4%
2 196
11.2%
5 151
 
8.7%
6 64
 
3.7%
1 48
 
2.8%
7 25
 
1.4%
8 17
 
1.0%
9 6
 
0.3%
Other values (6) 12
 
0.7%
(Missing) 382
21.9%
ValueCountFrequency (%)
0 269
15.4%
1 48
 
2.8%
2 196
11.2%
3 303
17.4%
4 271
15.5%
5 151
8.7%
6 64
 
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 64
3.7%
Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
0
1048 
<NA>
526 
1
169 
4
 
1

Length

Max length4
Median length1
Mean length1.9048165
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1048
60.1%
<NA> 526
30.2%
1 169
 
9.7%
4 1
 
0.1%

Length

2023-12-11T04:40:58.695726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:40:58.819511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1048
60.1%
na 526
30.2%
1 169
 
9.7%
4 1
 
0.1%
Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
0
910 
<NA>
640 
1
193 
10
 
1

Length

Max length4
Median length1
Mean length2.1014908
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 910
52.2%
<NA> 640
36.7%
1 193
 
11.1%
10 1
 
0.1%

Length

2023-12-11T04:40:58.981266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:40:59.150820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 910
52.2%
na 640
36.7%
1 193
 
11.1%
10 1
 
0.1%

한실수
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)2.3%
Missing164
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean5.5240506
Minimum0
Maximum39
Zeros434
Zeros (%)24.9%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T04:40:59.326207image/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 deviation6.2669194
Coefficient of variation (CV)1.134479
Kurtosis3.2150397
Mean5.5240506
Median Absolute Deviation (MAD)3
Skewness1.621416
Sum8728
Variance39.274279
MonotonicityNot monotonic
2023-12-11T04:40:59.515436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 434
24.9%
2 135
 
7.7%
3 119
 
6.8%
1 104
 
6.0%
4 96
 
5.5%
6 83
 
4.8%
10 82
 
4.7%
5 76
 
4.4%
8 63
 
3.6%
7 60
 
3.4%
Other values (26) 328
18.8%
(Missing) 164
 
9.4%
ValueCountFrequency (%)
0 434
24.9%
1 104
 
6.0%
2 135
 
7.7%
3 119
 
6.8%
4 96
 
5.5%
5 76
 
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%
Missing192
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean19.232603
Minimum0
Maximum343
Zeros183
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T04:40:59.658564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median17
Q327
95-th percentile42.45
Maximum343
Range343
Interquartile range (IQR)18

Descriptive statistics

Standard deviation18.921451
Coefficient of variation (CV)0.98382162
Kurtosis89.73671
Mean19.232603
Median Absolute Deviation (MAD)9
Skewness6.6911361
Sum29849
Variance358.0213
MonotonicityNot monotonic
2023-12-11T04:40:59.825784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 183
 
10.5%
10 77
 
4.4%
17 57
 
3.3%
14 49
 
2.8%
12 49
 
2.8%
20 49
 
2.8%
18 48
 
2.8%
16 46
 
2.6%
22 45
 
2.6%
13 44
 
2.5%
Other values (68) 905
51.9%
(Missing) 192
 
11.0%
ValueCountFrequency (%)
0 183
10.5%
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 29
 
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%
136 1
0.1%
129 1
0.1%
103 1
0.1%
82 1
0.1%
80 2
0.1%
79 1
0.1%

욕실수
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
0
1207 
<NA>
536 
2
 
1

Length

Max length4
Median length1
Mean length1.9220183
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1207
69.2%
<NA> 536
30.7%
2 1
 
0.1%

Length

2023-12-11T04:40:59.975511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:41:00.467027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1207
69.2%
na 536
30.7%
2 1
 
0.1%

발한실여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing6
Missing (%)0.3%
Memory size3.5 KiB
False
1738 
(Missing)
 
6
ValueCountFrequency (%)
False 1738
99.7%
(Missing) 6
 
0.3%
2023-12-11T04:41:00.583833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)0.5%
Missing535
Missing (%)30.7%
Infinite0
Infinite (%)0.0%
Mean0.043010753
Minimum0
Maximum30
Zeros1202
Zeros (%)68.9%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T04:41:00.690840image/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 deviation0.90425935
Coefficient of variation (CV)21.02403
Kurtosis1001.4774
Mean0.043010753
Median Absolute Deviation (MAD)0
Skewness30.590937
Sum52
Variance0.81768497
MonotonicityNot monotonic
2023-12-11T04:41:00.816489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1202
68.9%
4 2
 
0.1%
3 2
 
0.1%
30 1
 
0.1%
2 1
 
0.1%
6 1
 
0.1%
(Missing) 535
30.7%
ValueCountFrequency (%)
0 1202
68.9%
2 1
 
0.1%
3 2
 
0.1%
4 2
 
0.1%
6 1
 
0.1%
30 1
 
0.1%
ValueCountFrequency (%)
30 1
 
0.1%
6 1
 
0.1%
4 2
 
0.1%
3 2
 
0.1%
2 1
 
0.1%
0 1202
68.9%

조건부허가신고사유
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1743
Missing (%)99.9%
Memory size13.8 KiB
2023-12-11T04:41:00.994134image/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%
2023-12-11T04:41:01.301370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
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 (%)
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
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 (%)
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
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 (%)
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
ASCII
ValueCountFrequency (%)
1
100.0%

조건부허가시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
<NA>
1743 
20181101
 
1

Length

Max length8
Median length4
Mean length4.0022936
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> 1743
99.9%
20181101 1
 
0.1%

Length

2023-12-11T04:41:01.451527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:41:01.588547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1743
99.9%
20181101 1
 
0.1%

조건부허가종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
<NA>
1743 
20190722
 
1

Length

Max length8
Median length4
Mean length4.0022936
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> 1743
99.9%
20190722 1
 
0.1%

Length

2023-12-11T04:41:01.710978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:41:01.854584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1743
99.9%
20190722 1
 
0.1%
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
<NA>
809 
자가
602 
임대
333 

Length

Max length4
Median length2
Mean length2.9277523
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 809
46.4%
자가 602
34.5%
임대 333
19.1%

Length

2023-12-11T04:41:02.005020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:41:02.165702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 809
46.4%
자가 602
34.5%
임대 333
19.1%

세탁기수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
0
1079 
<NA>
665 

Length

Max length4
Median length1
Mean length2.143922
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1079
61.9%
<NA> 665
38.1%

Length

2023-12-11T04:41:02.297291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:41:02.402708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1079
61.9%
na 665
38.1%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)8.7%
Missing1675
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean1.6376812
Minimum0
Maximum40
Zeros35
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size15.5 KiB
2023-12-11T04:41:02.511535image/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 deviation5.9309036
Coefficient of variation (CV)3.6215252
Kurtosis33.384517
Mean1.6376812
Median Absolute Deviation (MAD)0
Skewness5.745858
Sum113
Variance35.175618
MonotonicityNot monotonic
2023-12-11T04:41:02.660182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 35
 
2.0%
1 24
 
1.4%
2 7
 
0.4%
40 1
 
0.1%
30 1
 
0.1%
5 1
 
0.1%
(Missing) 1675
96.0%
ValueCountFrequency (%)
0 35
2.0%
1 24
1.4%
2 7
 
0.4%
5 1
 
0.1%
30 1
 
0.1%
40 1
 
0.1%
ValueCountFrequency (%)
40 1
 
0.1%
30 1
 
0.1%
5 1
 
0.1%
2 7
 
0.4%
1 24
1.4%
0 35
2.0%

남성종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
<NA>
1686 
0
 
35
1
 
18
2
 
2
30
 
2

Length

Max length4
Median length4
Mean length3.9013761
Min length1

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> 1686
96.7%
0 35
 
2.0%
1 18
 
1.0%
2 2
 
0.1%
30 2
 
0.1%
5 1
 
0.1%

Length

2023-12-11T04:41:02.842970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:41:02.974091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1686
96.7%
0 35
 
2.0%
1 18
 
1.0%
2 2
 
0.1%
30 2
 
0.1%
5 1
 
0.1%

회수건조수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
0
1067 
<NA>
677 

Length

Max length4
Median length1
Mean length2.1645642
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1067
61.2%
<NA> 677
38.8%

Length

2023-12-11T04:41:03.128596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:41:03.297326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1067
61.2%
na 677
38.8%

침대수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size13.8 KiB
0
1063 
<NA>
678 
19
 
1
21
 
1
15
 
1

Length

Max length4
Median length1
Mean length2.1680046
Min length1

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 1063
61.0%
<NA> 678
38.9%
19 1
 
0.1%
21 1
 
0.1%
15 1
 
0.1%

Length

2023-12-11T04:41:03.456200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:41:03.606496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1063
61.0%
na 678
38.9%
19 1
 
0.1%
21 1
 
0.1%
15 1
 
0.1%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing3
Missing (%)0.2%
Memory size3.5 KiB
False
1736 
True
 
5
(Missing)
 
3
ValueCountFrequency (%)
False 1736
99.5%
True 5
 
0.3%
(Missing) 3
 
0.2%
2023-12-11T04:41:03.731766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
01숙박업03_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
12숙박업03_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
23숙박업03_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
34숙박업03_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
45숙박업03_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
56숙박업03_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
67숙박업03_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
78숙박업03_11_03_P34100003410000-201-1997-0000219971119<NA>1영업/정상1영업<NA><NA><NA><NA>053 2573686510.63700832대구광역시 중구 남산동 0698-0018번지대구광역시 중구 중앙대로65길 17 (남산동)41967라온모텔20190905105805U2019-09-07 02:40:00.0여관업343705.192875263586.467171여관업3133001900N0<NA><NA><NA><NA>0<NA><NA>00N
89숙박업03_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 민속모텔20180221171836I2018-08-31 23:59:59.0숙박업 기타343746.379146264515.775816숙박업 기타0000001100N0<NA><NA><NA>자가0<NA><NA>00N
910숙박업03_11_03_P34100003410000-201-1981-0000619811231<NA>1영업/정상1영업<NA><NA><NA><NA>053 4230031383.00700813대구광역시 중구 대봉동 0734-0005번지대구광역시 중구 명륜로26길 61 (대봉동)41960삼익장20180709095631I2018-08-31 23:59:59.0여관업344220.564457263070.8599여관업3033001600N0<NA><NA><NA><NA>0<NA><NA>00N
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
17341735숙박업03_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
17351736숙박업03_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
17361737숙박업03_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
17371738숙박업03_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
17381739숙박업03_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
17391740숙박업03_11_03_P34800003480000-201-1988-0000319881220<NA>1영업/정상1영업<NA><NA><NA><NA>053 614 0477351.60711852대구광역시 달성군 논공읍 남리 224-96번지대구광역시 달성군 논공읍 논공로 83442978원앙파크장20180713173625I2018-08-31 23:59:59.0여관업329851.611095248437.262624여관업3123002130N0<NA><NA><NA>임대0<NA><NA>00N
17401741숙박업03_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
17411742숙박업03_11_03_P34800003480000-201-1995-0000619950315<NA>1영업/정상1영업<NA><NA><NA><NA>053 7682355940.00711863대구광역시 달성군 가창면 삼산리 276-2번지대구광역시 달성군 가창면 가창로 17842940레드모텔20171123103211I2018-08-31 23:59:59.0여관업350553.884052249356.52424여관업4014000200N0<NA><NA><NA>임대0<NA><NA>00N
17421743숙박업03_11_03_P34800003480000-201-1997-0001519970104<NA>1영업/정상1영업<NA><NA><NA><NA>053 627 6666801.66<NA>대구광역시 달성군 유가읍 유곡리 837-1번지대구광역시 달성군 유가읍 비슬로64길 2242993호텔히든20171123104025I2018-08-31 23:59:59.0여관업331020.000269242124.922955여관업4024006210N0<NA><NA><NA>자가0<NA><NA>00N
17431744숙박업03_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