Overview

Dataset statistics

Number of variables50
Number of observations817
Missing cells9430
Missing cells (%)23.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory344.8 KiB
Average record size in memory432.2 B

Variable types

Numeric16
Categorical18
Text7
Unsupported6
DateTime1
Boolean2

Dataset

Description6270000_대구광역시_11_44_01_P_목욕장업_1월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092351&dataSetDetailId=DDI_0000092348&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
조건부허가신고사유 has constant value ""Constant
업태구분명 is highly imbalanced (71.6%)Imbalance
위생업태명 is highly imbalanced (71.6%)Imbalance
의자수 is highly imbalanced (55.0%)Imbalance
다중이용업소여부 is highly imbalanced (84.1%)Imbalance
인허가취소일자 has 817 (100.0%) missing valuesMissing
폐업일자 has 270 (33.0%) missing valuesMissing
휴업시작일자 has 817 (100.0%) missing valuesMissing
휴업종료일자 has 817 (100.0%) missing valuesMissing
재개업일자 has 817 (100.0%) missing valuesMissing
소재지전화 has 32 (3.9%) missing valuesMissing
도로명전체주소 has 330 (40.4%) missing valuesMissing
도로명우편번호 has 340 (41.6%) missing valuesMissing
좌표정보(X) has 48 (5.9%) missing valuesMissing
좌표정보(Y) has 48 (5.9%) missing valuesMissing
건물지상층수 has 175 (21.4%) missing valuesMissing
건물지하층수 has 236 (28.9%) missing valuesMissing
사용시작지상층 has 223 (27.3%) missing valuesMissing
사용끝지상층 has 283 (34.6%) missing valuesMissing
욕실수 has 240 (29.4%) missing valuesMissing
조건부허가신고사유 has 816 (99.9%) missing valuesMissing
조건부허가시작일자 has 817 (100.0%) missing valuesMissing
조건부허가종료일자 has 817 (100.0%) missing valuesMissing
여성종사자수 has 741 (90.7%) missing valuesMissing
남성종사자수 has 739 (90.5%) missing valuesMissing
폐업일자 is highly skewed (γ1 = -23.21918444)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
조건부허가시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조건부허가종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물지상층수 has 130 (15.9%) zerosZeros
건물지하층수 has 173 (21.2%) zerosZeros
사용시작지상층 has 150 (18.4%) zerosZeros
사용끝지상층 has 91 (11.1%) zerosZeros
욕실수 has 187 (22.9%) zerosZeros
여성종사자수 has 57 (7.0%) zerosZeros
남성종사자수 has 57 (7.0%) zerosZeros

Reproduction

Analysis started2023-12-10 19:58:17.506417
Analysis finished2023-12-10 19:58:18.942153
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct817
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean409
Minimum1
Maximum817
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-11T04:58:19.062679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile41.8
Q1205
median409
Q3613
95-th percentile776.2
Maximum817
Range816
Interquartile range (IQR)408

Descriptive statistics

Standard deviation235.99188
Coefficient of variation (CV)0.57699726
Kurtosis-1.2
Mean409
Median Absolute Deviation (MAD)204
Skewness0
Sum334153
Variance55692.167
MonotonicityStrictly increasing
2023-12-11T04:58:19.282219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
550 1
 
0.1%
540 1
 
0.1%
541 1
 
0.1%
542 1
 
0.1%
543 1
 
0.1%
544 1
 
0.1%
545 1
 
0.1%
546 1
 
0.1%
547 1
 
0.1%
Other values (807) 807
98.8%
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 (%)
817 1
0.1%
816 1
0.1%
815 1
0.1%
814 1
0.1%
813 1
0.1%
812 1
0.1%
811 1
0.1%
810 1
0.1%
809 1
0.1%
808 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
목욕장업
817 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
목욕장업 817
100.0%

Length

2023-12-11T04:58:19.476629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:19.638080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목욕장업 817
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
11_44_01_P
817 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_44_01_P
2nd row11_44_01_P
3rd row11_44_01_P
4th row11_44_01_P
5th row11_44_01_P

Common Values

ValueCountFrequency (%)
11_44_01_P 817
100.0%

Length

2023-12-11T04:58:19.786051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:19.939767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_44_01_p 817
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3444920.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-11T04:58:20.066155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21063.042
Coefficient of variation (CV)0.0061142319
Kurtosis-1.2309367
Mean3444920.4
Median Absolute Deviation (MAD)20000
Skewness-0.13399181
Sum2.8145 × 109
Variance4.4365175 × 108
MonotonicityIncreasing
2023-12-11T04:58:20.232383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 142
17.4%
3420000 134
16.4%
3450000 131
16.0%
3460000 130
15.9%
3430000 90
11.0%
3440000 80
9.8%
3410000 71
8.7%
3480000 39
 
4.8%
ValueCountFrequency (%)
3410000 71
8.7%
3420000 134
16.4%
3430000 90
11.0%
3440000 80
9.8%
3450000 131
16.0%
3460000 130
15.9%
3470000 142
17.4%
3480000 39
 
4.8%
ValueCountFrequency (%)
3480000 39
 
4.8%
3470000 142
17.4%
3460000 130
15.9%
3450000 131
16.0%
3440000 80
9.8%
3430000 90
11.0%
3420000 134
16.4%
3410000 71
8.7%

관리번호
Text

UNIQUE 

Distinct817
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-11T04:58:20.505003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters17974
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

Unique817 ?
Unique (%)100.0%

Sample

1st row3410000-202-1973-00001
2nd row3410000-202-1974-00002
3rd row3410000-202-1983-00002
4th row3410000-202-1970-00004
5th row3410000-202-1970-00005
ValueCountFrequency (%)
3410000-202-1973-00001 1
 
0.1%
3460000-202-1998-00009 1
 
0.1%
3460000-202-1997-00010 1
 
0.1%
3460000-202-1999-00008 1
 
0.1%
3460000-202-1997-00014 1
 
0.1%
3460000-202-2008-00001 1
 
0.1%
3460000-202-2009-00002 1
 
0.1%
3460000-202-2012-00001 1
 
0.1%
3460000-202-1998-00011 1
 
0.1%
3460000-202-2008-00004 1
 
0.1%
Other values (807) 807
98.8%
2023-12-11T04:58:20.974387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7986
44.4%
- 2451
 
13.6%
2 2443
 
13.6%
3 1193
 
6.6%
4 1071
 
6.0%
1 931
 
5.2%
9 764
 
4.3%
7 404
 
2.2%
5 261
 
1.5%
6 256
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15523
86.4%
Dash Punctuation 2451
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7986
51.4%
2 2443
 
15.7%
3 1193
 
7.7%
4 1071
 
6.9%
1 931
 
6.0%
9 764
 
4.9%
7 404
 
2.6%
5 261
 
1.7%
6 256
 
1.6%
8 214
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 2451
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17974
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7986
44.4%
- 2451
 
13.6%
2 2443
 
13.6%
3 1193
 
6.6%
4 1071
 
6.0%
1 931
 
5.2%
9 764
 
4.3%
7 404
 
2.2%
5 261
 
1.5%
6 256
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17974
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7986
44.4%
- 2451
 
13.6%
2 2443
 
13.6%
3 1193
 
6.6%
4 1071
 
6.0%
1 931
 
5.2%
9 764
 
4.3%
7 404
 
2.2%
5 261
 
1.5%
6 256
 
1.4%

인허가일자
Real number (ℝ)

Distinct659
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19975291
Minimum19601125
Maximum20220105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-11T04:58:21.220064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19601125
5-th percentile19741226
Q119950222
median19990204
Q320030723
95-th percentile20143008
Maximum20220105
Range618980
Interquartile range (IQR)80501

Descriptive statistics

Standard deviation105120.16
Coefficient of variation (CV)0.0052625097
Kurtosis0.8736808
Mean19975291
Median Absolute Deviation (MAD)40514
Skewness-0.70941651
Sum1.6319813 × 1010
Variance1.1050248 × 1010
MonotonicityNot monotonic
2023-12-11T04:58:21.470992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030718 31
 
3.8%
19970513 27
 
3.3%
19970220 21
 
2.6%
19970721 12
 
1.5%
19970701 10
 
1.2%
19970221 8
 
1.0%
20031128 6
 
0.7%
19970619 5
 
0.6%
19970723 4
 
0.5%
19970724 3
 
0.4%
Other values (649) 690
84.5%
ValueCountFrequency (%)
19601125 1
0.1%
19640303 1
0.1%
19661019 1
0.1%
19671116 1
0.1%
19671130 1
0.1%
19680803 1
0.1%
19690208 1
0.1%
19690901 1
0.1%
19700824 1
0.1%
19700827 1
0.1%
ValueCountFrequency (%)
20220105 1
0.1%
20211101 1
0.1%
20210824 1
0.1%
20210618 1
0.1%
20210119 1
0.1%
20201211 1
0.1%
20200116 1
0.1%
20191203 1
0.1%
20190911 1
0.1%
20190902 2
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing817
Missing (%)100.0%
Memory size7.3 KiB
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
3
547 
1
270 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 547
67.0%
1 270
33.0%

Length

2023-12-11T04:58:21.669075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:21.833621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 547
67.0%
1 270
33.0%

영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
폐업
547 
영업/정상
270 

Length

Max length5
Median length2
Mean length2.9914321
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 547
67.0%
영업/정상 270
33.0%

Length

2023-12-11T04:58:21.989803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:22.155527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 547
67.0%
영업/정상 270
33.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2
547 
1
270 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 547
67.0%
1 270
33.0%

Length

2023-12-11T04:58:22.341768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:22.504904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 547
67.0%
1 270
33.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
폐업
547 
영업
270 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 547
67.0%
영업 270
33.0%

Length

2023-12-11T04:58:22.991178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:23.146165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 547
67.0%
영업 270
33.0%

폐업일자
Real number (ℝ)

MISSING  SKEWED 

Distinct488
Distinct (%)89.2%
Missing270
Missing (%)33.0%
Infinite0
Infinite (%)0.0%
Mean20067797
Minimum200201
Maximum20220110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-11T04:58:23.321358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200201
5-th percentile20030436
Q120050824
median20090616
Q320151230
95-th percentile20201181
Maximum20220110
Range20019909
Interquartile range (IQR)100405.5

Descriptive statistics

Standard deviation853081.94
Coefficient of variation (CV)0.042509994
Kurtosis541.7347
Mean20067797
Median Absolute Deviation (MAD)49791
Skewness-23.219184
Sum1.0977085 × 1010
Variance7.277488 × 1011
MonotonicityNot monotonic
2023-12-11T04:58:23.583602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030718 9
 
1.1%
20090119 6
 
0.7%
20031112 4
 
0.5%
20120111 3
 
0.4%
20060419 3
 
0.4%
20090108 3
 
0.4%
20031229 3
 
0.4%
20041103 3
 
0.4%
20050117 3
 
0.4%
20190701 3
 
0.4%
Other values (478) 507
62.1%
(Missing) 270
33.0%
ValueCountFrequency (%)
200201 1
0.1%
20010321 1
0.1%
20010404 1
0.1%
20010418 1
0.1%
20010502 1
0.1%
20010620 1
0.1%
20011022 1
0.1%
20020304 1
0.1%
20020326 1
0.1%
20020410 1
0.1%
ValueCountFrequency (%)
20220110 1
0.1%
20211231 2
0.2%
20211215 1
0.1%
20211122 1
0.1%
20211026 1
0.1%
20211012 1
0.1%
20210930 2
0.2%
20210824 1
0.1%
20210820 1
0.1%
20210803 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing817
Missing (%)100.0%
Memory size7.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing817
Missing (%)100.0%
Memory size7.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing817
Missing (%)100.0%
Memory size7.3 KiB

소재지전화
Text

MISSING 

Distinct757
Distinct (%)96.4%
Missing32
Missing (%)3.9%
Memory size6.5 KiB
2023-12-11T04:58:24.139775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.747771
Min length7

Characters and Unicode

Total characters8437
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

Unique729 ?
Unique (%)92.9%

Sample

1st row053 4245959
2nd row053 4225055
3rd row053 4254720
4th row053 4247143
5th row053 4218241
ValueCountFrequency (%)
053 645
40.3%
767 8
 
0.5%
781 6
 
0.4%
753 6
 
0.4%
743 6
 
0.4%
752 5
 
0.3%
765 5
 
0.3%
792 4
 
0.2%
763 4
 
0.2%
323 4
 
0.2%
Other values (833) 908
56.7%
2023-12-11T04:58:24.907672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1499
17.8%
0 1275
15.1%
3 1255
14.9%
823
9.8%
6 599
 
7.1%
2 599
 
7.1%
7 541
 
6.4%
1 491
 
5.8%
4 468
 
5.5%
8 452
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7614
90.2%
Space Separator 823
 
9.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1499
19.7%
0 1275
16.7%
3 1255
16.5%
6 599
 
7.9%
2 599
 
7.9%
7 541
 
7.1%
1 491
 
6.4%
4 468
 
6.1%
8 452
 
5.9%
9 435
 
5.7%
Space Separator
ValueCountFrequency (%)
823
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8437
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1499
17.8%
0 1275
15.1%
3 1255
14.9%
823
9.8%
6 599
 
7.1%
2 599
 
7.1%
7 541
 
6.4%
1 491
 
5.8%
4 468
 
5.5%
8 452
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8437
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1499
17.8%
0 1275
15.1%
3 1255
14.9%
823
9.8%
6 599
 
7.1%
2 599
 
7.1%
7 541
 
6.4%
1 491
 
5.8%
4 468
 
5.5%
8 452
 
5.4%
Distinct757
Distinct (%)92.8%
Missing1
Missing (%)0.1%
Memory size6.5 KiB
2023-12-11T04:58:25.413169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.2806373
Min length3

Characters and Unicode

Total characters5125
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

Unique719 ?
Unique (%)88.1%

Sample

1st row179.52
2nd row257.86
3rd row637.60
4th row750.85
5th row309.60
ValueCountFrequency (%)
00 17
 
2.1%
660.00 5
 
0.6%
492.00 3
 
0.4%
450.00 3
 
0.4%
165.00 3
 
0.4%
425.00 2
 
0.2%
2,576.88 2
 
0.2%
167.67 2
 
0.2%
785.53 2
 
0.2%
396.00 2
 
0.2%
Other values (747) 775
95.0%
2023-12-11T04:58:26.254724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 871
17.0%
. 816
15.9%
1 413
8.1%
4 411
8.0%
5 402
7.8%
2 390
7.6%
3 387
7.6%
6 362
7.1%
8 339
 
6.6%
7 312
 
6.1%
Other values (2) 422
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4165
81.3%
Other Punctuation 960
 
18.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 871
20.9%
1 413
9.9%
4 411
9.9%
5 402
9.7%
2 390
9.4%
3 387
9.3%
6 362
8.7%
8 339
 
8.1%
7 312
 
7.5%
9 278
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 816
85.0%
, 144
 
15.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5125
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 871
17.0%
. 816
15.9%
1 413
8.1%
4 411
8.0%
5 402
7.8%
2 390
7.6%
3 387
7.6%
6 362
7.1%
8 339
 
6.6%
7 312
 
6.1%
Other values (2) 422
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5125
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 871
17.0%
. 816
15.9%
1 413
8.1%
4 411
8.0%
5 402
7.8%
2 390
7.6%
3 387
7.6%
6 362
7.1%
8 339
 
6.6%
7 312
 
6.1%
Other values (2) 422
8.2%

소재지우편번호
Real number (ℝ)

Distinct382
Distinct (%)46.9%
Missing3
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean704186.36
Minimum700010
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-11T04:58:26.533203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700803.95
Q1701866.25
median703843
Q3705823
95-th percentile706851
Maximum711892
Range11882
Interquartile range (IQR)3956.75

Descriptive statistics

Standard deviation2555.9079
Coefficient of variation (CV)0.0036295902
Kurtosis1.3169482
Mean704186.36
Median Absolute Deviation (MAD)1979.5
Skewness0.938113
Sum5.732077 × 108
Variance6532665.2
MonotonicityNot monotonic
2023-12-11T04:58:26.872099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704060 10
 
1.2%
702040 9
 
1.1%
704080 9
 
1.1%
704837 7
 
0.9%
703812 7
 
0.9%
711852 6
 
0.7%
701846 6
 
0.7%
705828 6
 
0.7%
706833 6
 
0.7%
706170 6
 
0.7%
Other values (372) 742
90.8%
ValueCountFrequency (%)
700010 1
 
0.1%
700020 3
0.4%
700082 1
 
0.1%
700092 1
 
0.1%
700111 1
 
0.1%
700160 4
0.5%
700180 1
 
0.1%
700192 2
0.2%
700210 1
 
0.1%
700230 1
 
0.1%
ValueCountFrequency (%)
711892 1
 
0.1%
711891 1
 
0.1%
711874 2
 
0.2%
711872 1
 
0.1%
711863 1
 
0.1%
711861 1
 
0.1%
711858 1
 
0.1%
711852 6
0.7%
711844 2
 
0.2%
711842 1
 
0.1%
Distinct756
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-11T04:58:27.340523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length43
Mean length22.659731
Min length16

Characters and Unicode

Total characters18513
Distinct characters196
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

Unique699 ?
Unique (%)85.6%

Sample

1st row대구광역시 중구 달성동 179-1번지
2nd row대구광역시 중구 동인동4가 453-4번지
3rd row대구광역시 중구 동인동2가 0227-0008번지
4th row대구광역시 중구 동문동 18-4번지
5th row대구광역시 중구 삼덕동3가 342-2번지
ValueCountFrequency (%)
대구광역시 817
23.6%
달서구 142
 
4.1%
동구 134
 
3.9%
북구 131
 
3.8%
수성구 130
 
3.7%
서구 90
 
2.6%
남구 80
 
2.3%
중구 71
 
2.0%
대명동 51
 
1.5%
달성군 39
 
1.1%
Other values (996) 1783
51.4%
2023-12-11T04:58:28.045361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3468
18.7%
1605
 
8.7%
935
 
5.1%
902
 
4.9%
1 890
 
4.8%
824
 
4.5%
818
 
4.4%
818
 
4.4%
730
 
3.9%
- 697
 
3.8%
Other values (186) 6826
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10289
55.6%
Decimal Number 3960
 
21.4%
Space Separator 3468
 
18.7%
Dash Punctuation 697
 
3.8%
Other Punctuation 54
 
0.3%
Close Punctuation 19
 
0.1%
Open Punctuation 19
 
0.1%
Uppercase Letter 6
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1605
15.6%
935
 
9.1%
902
 
8.8%
824
 
8.0%
818
 
8.0%
818
 
8.0%
730
 
7.1%
650
 
6.3%
243
 
2.4%
236
 
2.3%
Other values (165) 2528
24.6%
Decimal Number
ValueCountFrequency (%)
1 890
22.5%
2 544
13.7%
0 441
11.1%
3 381
9.6%
4 351
 
8.9%
5 329
 
8.3%
6 293
 
7.4%
7 270
 
6.8%
8 238
 
6.0%
9 223
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 52
96.3%
@ 1
 
1.9%
. 1
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
A 2
33.3%
L 1
 
16.7%
Space Separator
ValueCountFrequency (%)
3468
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 697
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10289
55.6%
Common 8218
44.4%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1605
15.6%
935
 
9.1%
902
 
8.8%
824
 
8.0%
818
 
8.0%
818
 
8.0%
730
 
7.1%
650
 
6.3%
243
 
2.4%
236
 
2.3%
Other values (165) 2528
24.6%
Common
ValueCountFrequency (%)
3468
42.2%
1 890
 
10.8%
- 697
 
8.5%
2 544
 
6.6%
0 441
 
5.4%
3 381
 
4.6%
4 351
 
4.3%
5 329
 
4.0%
6 293
 
3.6%
7 270
 
3.3%
Other values (8) 554
 
6.7%
Latin
ValueCountFrequency (%)
B 3
50.0%
A 2
33.3%
L 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10289
55.6%
ASCII 8224
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3468
42.2%
1 890
 
10.8%
- 697
 
8.5%
2 544
 
6.6%
0 441
 
5.4%
3 381
 
4.6%
4 351
 
4.3%
5 329
 
4.0%
6 293
 
3.6%
7 270
 
3.3%
Other values (11) 560
 
6.8%
Hangul
ValueCountFrequency (%)
1605
15.6%
935
 
9.1%
902
 
8.8%
824
 
8.0%
818
 
8.0%
818
 
8.0%
730
 
7.1%
650
 
6.3%
243
 
2.4%
236
 
2.3%
Other values (165) 2528
24.6%

도로명전체주소
Text

MISSING 

Distinct481
Distinct (%)98.8%
Missing330
Missing (%)40.4%
Memory size6.5 KiB
2023-12-11T04:58:28.548023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length48
Mean length25.837782
Min length20

Characters and Unicode

Total characters12583
Distinct characters236
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique475 ?
Unique (%)97.5%

Sample

1st row대구광역시 중구 국채보상로140길 16 (동인동2가)
2nd row대구광역시 중구 경상감영길 1 (서성로1가)
3rd row대구광역시 중구 동덕로 115, 진석타워 지하1층 (삼덕동2가)
4th row대구광역시 중구 국채보상로 688-19 (동인동2가)
5th row대구광역시 중구 명륜로26길 61 (대봉동)
ValueCountFrequency (%)
대구광역시 487
 
18.8%
달서구 84
 
3.2%
동구 81
 
3.1%
수성구 76
 
2.9%
북구 72
 
2.8%
서구 54
 
2.1%
남구 50
 
1.9%
중구 37
 
1.4%
대명동 34
 
1.3%
달성군 33
 
1.3%
Other values (848) 1582
61.1%
2023-12-11T04:58:29.313527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2103
 
16.7%
1002
 
8.0%
631
 
5.0%
621
 
4.9%
495
 
3.9%
491
 
3.9%
488
 
3.9%
( 463
 
3.7%
) 463
 
3.7%
461
 
3.7%
Other values (226) 5365
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7396
58.8%
Space Separator 2103
 
16.7%
Decimal Number 1896
 
15.1%
Open Punctuation 463
 
3.7%
Close Punctuation 463
 
3.7%
Other Punctuation 156
 
1.2%
Dash Punctuation 78
 
0.6%
Math Symbol 15
 
0.1%
Uppercase Letter 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1002
 
13.5%
631
 
8.5%
621
 
8.4%
495
 
6.7%
491
 
6.6%
488
 
6.6%
461
 
6.2%
241
 
3.3%
176
 
2.4%
173
 
2.3%
Other values (204) 2617
35.4%
Decimal Number
ValueCountFrequency (%)
1 389
20.5%
2 311
16.4%
3 227
12.0%
0 167
8.8%
5 165
8.7%
4 155
 
8.2%
6 151
 
8.0%
7 128
 
6.8%
8 102
 
5.4%
9 101
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
A 6
46.2%
B 5
38.5%
L 1
 
7.7%
C 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 154
98.7%
· 1
 
0.6%
. 1
 
0.6%
Space Separator
ValueCountFrequency (%)
2103
100.0%
Open Punctuation
ValueCountFrequency (%)
( 463
100.0%
Close Punctuation
ValueCountFrequency (%)
) 463
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7396
58.8%
Common 5174
41.1%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1002
 
13.5%
631
 
8.5%
621
 
8.4%
495
 
6.7%
491
 
6.6%
488
 
6.6%
461
 
6.2%
241
 
3.3%
176
 
2.4%
173
 
2.3%
Other values (204) 2617
35.4%
Common
ValueCountFrequency (%)
2103
40.6%
( 463
 
8.9%
) 463
 
8.9%
1 389
 
7.5%
2 311
 
6.0%
3 227
 
4.4%
0 167
 
3.2%
5 165
 
3.2%
4 155
 
3.0%
, 154
 
3.0%
Other values (8) 577
 
11.2%
Latin
ValueCountFrequency (%)
A 6
46.2%
B 5
38.5%
L 1
 
7.7%
C 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7396
58.8%
ASCII 5186
41.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2103
40.6%
( 463
 
8.9%
) 463
 
8.9%
1 389
 
7.5%
2 311
 
6.0%
3 227
 
4.4%
0 167
 
3.2%
5 165
 
3.2%
4 155
 
3.0%
, 154
 
3.0%
Other values (11) 589
 
11.4%
Hangul
ValueCountFrequency (%)
1002
 
13.5%
631
 
8.5%
621
 
8.4%
495
 
6.7%
491
 
6.6%
488
 
6.6%
461
 
6.2%
241
 
3.3%
176
 
2.4%
173
 
2.3%
Other values (204) 2617
35.4%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct390
Distinct (%)81.8%
Missing340
Missing (%)41.6%
Infinite0
Infinite (%)0.0%
Mean42013.044
Minimum41000
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-11T04:58:29.556957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41112
Q141535
median41977
Q342496
95-th percentile42938.4
Maximum43024
Range2024
Interquartile range (IQR)961

Descriptive statistics

Standard deviation584.40733
Coefficient of variation (CV)0.01391014
Kurtosis-1.1531177
Mean42013.044
Median Absolute Deviation (MAD)484
Skewness-0.027128652
Sum20040222
Variance341531.93
MonotonicityNot monotonic
2023-12-11T04:58:29.805650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42612 3
 
0.4%
41008 3
 
0.4%
41463 3
 
0.4%
41436 3
 
0.4%
42117 3
 
0.4%
42288 3
 
0.4%
42439 3
 
0.4%
42413 3
 
0.4%
41112 3
 
0.4%
42661 3
 
0.4%
Other values (380) 447
54.7%
(Missing) 340
41.6%
ValueCountFrequency (%)
41000 2
0.2%
41001 1
 
0.1%
41002 1
 
0.1%
41005 1
 
0.1%
41007 1
 
0.1%
41008 3
0.4%
41027 1
 
0.1%
41034 1
 
0.1%
41036 1
 
0.1%
41042 1
 
0.1%
ValueCountFrequency (%)
43024 1
0.1%
43013 1
0.1%
43003 1
0.1%
43000 1
0.1%
42996 1
0.1%
42994 1
0.1%
42986 1
0.1%
42985 1
0.1%
42980 1
0.1%
42979 1
0.1%
Distinct713
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-11T04:58:30.260001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length5.122399
Min length2

Characters and Unicode

Total characters4185
Distinct characters306
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique640 ?
Unique (%)78.3%

Sample

1st row동호
2nd row덕성탕
3rd row라이온수
4th row대구
5th row청하탕
ValueCountFrequency (%)
사우나 7
 
0.8%
그린목욕탕 5
 
0.6%
한일목욕탕 5
 
0.6%
대동탕 4
 
0.5%
청수목욕탕 4
 
0.5%
동영목욕탕 4
 
0.5%
대림목욕탕 4
 
0.5%
대청사우나 4
 
0.5%
호수탕 4
 
0.5%
천일탕 3
 
0.4%
Other values (726) 809
94.8%
2023-12-11T04:58:30.886693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
495
 
11.8%
278
 
6.6%
278
 
6.6%
157
 
3.8%
153
 
3.7%
153
 
3.7%
105
 
2.5%
87
 
2.1%
75
 
1.8%
73
 
1.7%
Other values (296) 2331
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4080
97.5%
Space Separator 38
 
0.9%
Open Punctuation 22
 
0.5%
Close Punctuation 22
 
0.5%
Decimal Number 10
 
0.2%
Uppercase Letter 8
 
0.2%
Other Punctuation 4
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
495
 
12.1%
278
 
6.8%
278
 
6.8%
157
 
3.8%
153
 
3.8%
153
 
3.8%
105
 
2.6%
87
 
2.1%
75
 
1.8%
73
 
1.8%
Other values (279) 2226
54.6%
Uppercase Letter
ValueCountFrequency (%)
T 2
25.0%
G 2
25.0%
P 1
12.5%
O 1
12.5%
M 1
12.5%
S 1
12.5%
Decimal Number
ValueCountFrequency (%)
3 3
30.0%
2 3
30.0%
0 2
20.0%
5 2
20.0%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
/ 1
25.0%
1
25.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4080
97.5%
Common 96
 
2.3%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
495
 
12.1%
278
 
6.8%
278
 
6.8%
157
 
3.8%
153
 
3.8%
153
 
3.8%
105
 
2.6%
87
 
2.1%
75
 
1.8%
73
 
1.8%
Other values (279) 2226
54.6%
Common
ValueCountFrequency (%)
38
39.6%
( 22
22.9%
) 22
22.9%
3 3
 
3.1%
2 3
 
3.1%
, 2
 
2.1%
0 2
 
2.1%
5 2
 
2.1%
/ 1
 
1.0%
1
 
1.0%
Latin
ValueCountFrequency (%)
T 2
22.2%
G 2
22.2%
P 1
11.1%
O 1
11.1%
M 1
11.1%
S 1
11.1%
e 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4080
97.5%
ASCII 104
 
2.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
495
 
12.1%
278
 
6.8%
278
 
6.8%
157
 
3.8%
153
 
3.8%
153
 
3.8%
105
 
2.6%
87
 
2.1%
75
 
1.8%
73
 
1.8%
Other values (279) 2226
54.6%
ASCII
ValueCountFrequency (%)
38
36.5%
( 22
21.2%
) 22
21.2%
3 3
 
2.9%
2 3
 
2.9%
, 2
 
1.9%
T 2
 
1.9%
0 2
 
1.9%
5 2
 
1.9%
G 2
 
1.9%
Other values (6) 6
 
5.8%
None
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct701
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.012171 × 1013
Minimum2.0020201 × 1013
Maximum2.0220128 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-11T04:58:31.126901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0020201 × 1013
5-th percentile2.002083 × 1013
Q12.004091 × 1013
median2.0120216 × 1013
Q32.0191217 × 1013
95-th percentile2.0210723 × 1013
Maximum2.0220128 × 1013
Range1.9992714 × 1011
Interquartile range (IQR)1.503071 × 1011

Descriptive statistics

Standard deviation7.1983055 × 1010
Coefficient of variation (CV)0.0035773827
Kurtosis-1.6257998
Mean2.012171 × 1013
Median Absolute Deviation (MAD)7.9191106 × 1010
Skewness-0.10208223
Sum1.6439437 × 1016
Variance5.1815603 × 1021
MonotonicityNot monotonic
2023-12-11T04:58:31.392993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030927000000 21
 
2.6%
20020709000000 17
 
2.1%
20031027000000 13
 
1.6%
20030805000000 10
 
1.2%
20030804000000 9
 
1.1%
20020913000000 4
 
0.5%
20020408000000 4
 
0.5%
20041029000000 3
 
0.4%
20040213000000 3
 
0.4%
20020625000000 3
 
0.4%
Other values (691) 730
89.4%
ValueCountFrequency (%)
20020201000000 2
 
0.2%
20020408000000 4
 
0.5%
20020409000000 3
 
0.4%
20020411000000 1
 
0.1%
20020625000000 3
 
0.4%
20020626000000 1
 
0.1%
20020709000000 17
2.1%
20020710000000 3
 
0.4%
20020711000000 1
 
0.1%
20020712000000 1
 
0.1%
ValueCountFrequency (%)
20220128141506 1
0.1%
20220126134219 1
0.1%
20220111103735 1
0.1%
20220110153655 1
0.1%
20220106154845 1
0.1%
20220105143426 1
0.1%
20211231134155 1
0.1%
20211231102438 1
0.1%
20211230100615 1
0.1%
20211227113151 1
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
I
535 
U
282 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 535
65.5%
U 282
34.5%

Length

2023-12-11T04:58:31.622375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:31.860925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 535
65.5%
u 282
34.5%
Distinct201
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
Minimum2018-08-31 23:59:59
Maximum2022-01-30 02:40:00
2023-12-11T04:58:32.070960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:58:32.350829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
공동탕업
732 
공동탕업+찜질시설서비스영업
 
45
찜질시설서비스영업
 
17
한증막업
 
16
목욕장업 기타
 
7

Length

Max length14
Median length4
Mean length4.6805386
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공동탕업 732
89.6%
공동탕업+찜질시설서비스영업 45
 
5.5%
찜질시설서비스영업 17
 
2.1%
한증막업 16
 
2.0%
목욕장업 기타 7
 
0.9%

Length

2023-12-11T04:58:32.614218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:32.794549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동탕업 732
88.8%
공동탕업+찜질시설서비스영업 45
 
5.5%
찜질시설서비스영업 17
 
2.1%
한증막업 16
 
1.9%
목욕장업 7
 
0.8%
기타 7
 
0.8%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct664
Distinct (%)86.3%
Missing48
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean343341.55
Minimum327293.91
Maximum356189.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-11T04:58:33.030716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327293.91
5-th percentile335728.27
Q1340197.23
median343243.77
Q3346520.49
95-th percentile351532.28
Maximum356189.2
Range28895.287
Interquartile range (IQR)6323.2686

Descriptive statistics

Standard deviation4724.4155
Coefficient of variation (CV)0.013760104
Kurtosis0.69119291
Mean343341.55
Median Absolute Deviation (MAD)3174.9386
Skewness-0.071362669
Sum2.6402965 × 108
Variance22320101
MonotonicityNot monotonic
2023-12-11T04:58:33.279615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
337346.648864 4
 
0.5%
340616.952958 3
 
0.4%
338849.57742 3
 
0.4%
353142.033074 3
 
0.4%
345310.581197 3
 
0.4%
355698.459984 3
 
0.4%
343184.151781 3
 
0.4%
342666.445914 3
 
0.4%
340286.680164 3
 
0.4%
339273.069927 3
 
0.4%
Other values (654) 738
90.3%
(Missing) 48
 
5.9%
ValueCountFrequency (%)
327293.913425 1
0.1%
327529.514434 1
0.1%
328293.62359 1
0.1%
328965.130661 1
0.1%
330272.445579 1
0.1%
330338.711441 1
0.1%
330342.686681 1
0.1%
330497.842814 1
0.1%
330573.646469 1
0.1%
330585.519076 1
0.1%
ValueCountFrequency (%)
356189.20016 1
 
0.1%
355698.459984 3
0.4%
355655.045544 1
 
0.1%
355590.766869 1
 
0.1%
354755.033317 1
 
0.1%
354722.988899 1
 
0.1%
354683.486531 1
 
0.1%
354615.507123 1
 
0.1%
354510.585982 1
 
0.1%
354463.424853 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct664
Distinct (%)86.3%
Missing48
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean263533.53
Minimum238769.81
Maximum278091.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-11T04:58:33.558094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238769.81
5-th percentile257732.62
Q1261412.73
median263846.27
Q3265813.79
95-th percentile270095.64
Maximum278091.65
Range39321.841
Interquartile range (IQR)4401.0614

Descriptive statistics

Standard deviation4328.2837
Coefficient of variation (CV)0.016424034
Kurtosis5.4996786
Mean263533.53
Median Absolute Deviation (MAD)2186.9034
Skewness-0.92985643
Sum2.0265728 × 108
Variance18734040
MonotonicityNot monotonic
2023-12-11T04:58:33.827010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
258035.007517 4
 
0.5%
266219.271086 3
 
0.4%
257972.210093 3
 
0.4%
261737.213765 3
 
0.4%
261330.273815 3
 
0.4%
275787.590179 3
 
0.4%
264080.683793 3
 
0.4%
263256.489079 3
 
0.4%
271242.256968 3
 
0.4%
269989.71536 3
 
0.4%
Other values (654) 738
90.3%
(Missing) 48
 
5.9%
ValueCountFrequency (%)
238769.812522 1
0.1%
240746.717574 1
0.1%
244719.0 1
0.1%
244828.005203 1
0.1%
244853.241728 1
0.1%
244859.344723 1
0.1%
245205.925241 1
0.1%
248338.042553 1
0.1%
248523.534088 1
0.1%
248583.689867 1
0.1%
ValueCountFrequency (%)
278091.653532 1
 
0.1%
278070.885647 1
 
0.1%
278029.090204 1
 
0.1%
277507.397404 1
 
0.1%
277462.879247 1
 
0.1%
276154.019724 1
 
0.1%
275787.590179 3
0.4%
273077.919394 1
 
0.1%
272997.707548 1
 
0.1%
272960.724753 1
 
0.1%

위생업태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
공동탕업
732 
공동탕업+찜질시설서비스영업
 
45
찜질시설서비스영업
 
17
한증막업
 
16
목욕장업 기타
 
7

Length

Max length14
Median length4
Mean length4.6805386
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공동탕업 732
89.6%
공동탕업+찜질시설서비스영업 45
 
5.5%
찜질시설서비스영업 17
 
2.1%
한증막업 16
 
2.0%
목욕장업 기타 7
 
0.9%

Length

2023-12-11T04:58:34.088506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:34.289382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동탕업 732
88.8%
공동탕업+찜질시설서비스영업 45
 
5.5%
찜질시설서비스영업 17
 
2.1%
한증막업 16
 
1.9%
목욕장업 7
 
0.8%
기타 7
 
0.8%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)3.1%
Missing175
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean3.6464174
Minimum0
Maximum42
Zeros130
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-11T04:58:34.467184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35
95-th percentile8
Maximum42
Range42
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.5487988
Coefficient of variation (CV)0.9732289
Kurtosis32.921991
Mean3.6464174
Median Absolute Deviation (MAD)2
Skewness4.183108
Sum2341
Variance12.593973
MonotonicityNot monotonic
2023-12-11T04:58:34.701222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 130
15.9%
3 121
14.8%
4 120
14.7%
5 97
11.9%
2 65
 
8.0%
6 38
 
4.7%
7 20
 
2.4%
1 11
 
1.3%
9 11
 
1.3%
8 10
 
1.2%
Other values (10) 19
 
2.3%
(Missing) 175
21.4%
ValueCountFrequency (%)
0 130
15.9%
1 11
 
1.3%
2 65
8.0%
3 121
14.8%
4 120
14.7%
5 97
11.9%
6 38
 
4.7%
7 20
 
2.4%
8 10
 
1.2%
9 11
 
1.3%
ValueCountFrequency (%)
42 1
 
0.1%
31 1
 
0.1%
28 1
 
0.1%
23 2
 
0.2%
20 1
 
0.1%
19 1
 
0.1%
18 1
 
0.1%
17 1
 
0.1%
11 4
0.5%
10 6
0.7%

건물지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)1.2%
Missing236
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean0.89672978
Minimum0
Maximum9
Zeros173
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-11T04:58:34.880349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.89808588
Coefficient of variation (CV)1.0015123
Kurtosis24.524006
Mean0.89672978
Median Absolute Deviation (MAD)0
Skewness3.4001255
Sum521
Variance0.80655825
MonotonicityNot monotonic
2023-12-11T04:58:35.026995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 334
40.9%
0 173
21.2%
2 57
 
7.0%
4 7
 
0.9%
3 7
 
0.9%
9 2
 
0.2%
6 1
 
0.1%
(Missing) 236
28.9%
ValueCountFrequency (%)
0 173
21.2%
1 334
40.9%
2 57
 
7.0%
3 7
 
0.9%
4 7
 
0.9%
6 1
 
0.1%
9 2
 
0.2%
ValueCountFrequency (%)
9 2
 
0.2%
6 1
 
0.1%
4 7
 
0.9%
3 7
 
0.9%
2 57
 
7.0%
1 334
40.9%
0 173
21.2%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)1.5%
Missing223
Missing (%)27.3%
Infinite0
Infinite (%)0.0%
Mean1.3804714
Minimum0
Maximum23
Zeros150
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-11T04:58:35.197928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum23
Range23
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5266124
Coefficient of variation (CV)1.1058631
Kurtosis68.380117
Mean1.3804714
Median Absolute Deviation (MAD)1
Skewness5.5851341
Sum820
Variance2.3305455
MonotonicityNot monotonic
2023-12-11T04:58:35.357902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 220
26.9%
2 154
18.8%
0 150
18.4%
3 37
 
4.5%
4 15
 
1.8%
5 8
 
1.0%
6 5
 
0.6%
7 4
 
0.5%
23 1
 
0.1%
(Missing) 223
27.3%
ValueCountFrequency (%)
0 150
18.4%
1 220
26.9%
2 154
18.8%
3 37
 
4.5%
4 15
 
1.8%
5 8
 
1.0%
6 5
 
0.6%
7 4
 
0.5%
23 1
 
0.1%
ValueCountFrequency (%)
23 1
 
0.1%
7 4
 
0.5%
6 5
 
0.6%
5 8
 
1.0%
4 15
 
1.8%
3 37
 
4.5%
2 154
18.8%
1 220
26.9%
0 150
18.4%

사용끝지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)1.9%
Missing283
Missing (%)34.6%
Infinite0
Infinite (%)0.0%
Mean2.3632959
Minimum0
Maximum23
Zeros91
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-11T04:58:35.515837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q33
95-th percentile5
Maximum23
Range23
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8220664
Coefficient of variation (CV)0.77098532
Kurtosis30.501235
Mean2.3632959
Median Absolute Deviation (MAD)1
Skewness3.1168986
Sum1262
Variance3.3199261
MonotonicityNot monotonic
2023-12-11T04:58:36.051495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 191
23.4%
3 120
14.7%
0 91
 
11.1%
4 52
 
6.4%
1 35
 
4.3%
5 24
 
2.9%
6 11
 
1.3%
8 5
 
0.6%
7 4
 
0.5%
23 1
 
0.1%
(Missing) 283
34.6%
ValueCountFrequency (%)
0 91
11.1%
1 35
 
4.3%
2 191
23.4%
3 120
14.7%
4 52
 
6.4%
5 24
 
2.9%
6 11
 
1.3%
7 4
 
0.5%
8 5
 
0.6%
23 1
 
0.1%
ValueCountFrequency (%)
23 1
 
0.1%
8 5
 
0.6%
7 4
 
0.5%
6 11
 
1.3%
5 24
 
2.9%
4 52
 
6.4%
3 120
14.7%
2 191
23.4%
1 35
 
4.3%
0 91
11.1%
Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
<NA>
356 
0
355 
1
97 
2
 
9

Length

Max length4
Median length1
Mean length2.3072215
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 356
43.6%
0 355
43.5%
1 97
 
11.9%
2 9
 
1.1%

Length

2023-12-11T04:58:36.244134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:36.438030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 356
43.6%
0 355
43.5%
1 97
 
11.9%
2 9
 
1.1%
Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
<NA>
414 
0
286 
1
107 
2
 
7
3
 
3

Length

Max length4
Median length4
Mean length2.5201958
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 414
50.7%
0 286
35.0%
1 107
 
13.1%
2 7
 
0.9%
3 3
 
0.4%

Length

2023-12-11T04:58:36.618890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:36.830956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 414
50.7%
0 286
35.0%
1 107
 
13.1%
2 7
 
0.9%
3 3
 
0.4%

한실수
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
0
432 
<NA>
384 
2
 
1

Length

Max length4
Median length1
Mean length2.4100367
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 432
52.9%
<NA> 384
47.0%
2 1
 
0.1%

Length

2023-12-11T04:58:37.026256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:37.209791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 432
52.9%
na 384
47.0%
2 1
 
0.1%

양실수
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
0
432 
<NA>
384 
34
 
1

Length

Max length4
Median length1
Mean length2.4112607
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 432
52.9%
<NA> 384
47.0%
34 1
 
0.1%

Length

2023-12-11T04:58:37.377794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:37.519547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 432
52.9%
na 384
47.0%
34 1
 
0.1%

욕실수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)2.4%
Missing240
Missing (%)29.4%
Infinite0
Infinite (%)0.0%
Mean1.7590988
Minimum0
Maximum22
Zeros187
Zeros (%)22.9%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-11T04:58:37.663964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile5
Maximum22
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9173526
Coefficient of variation (CV)1.089963
Kurtosis24.796187
Mean1.7590988
Median Absolute Deviation (MAD)0
Skewness3.3770571
Sum1015
Variance3.6762409
MonotonicityNot monotonic
2023-12-11T04:58:37.835569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 303
37.1%
0 187
22.9%
4 41
 
5.0%
1 14
 
1.7%
6 14
 
1.7%
8 5
 
0.6%
5 4
 
0.5%
10 2
 
0.2%
3 2
 
0.2%
22 1
 
0.1%
Other values (4) 4
 
0.5%
(Missing) 240
29.4%
ValueCountFrequency (%)
0 187
22.9%
1 14
 
1.7%
2 303
37.1%
3 2
 
0.2%
4 41
 
5.0%
5 4
 
0.5%
6 14
 
1.7%
7 1
 
0.1%
8 5
 
0.6%
9 1
 
0.1%
ValueCountFrequency (%)
22 1
 
0.1%
12 1
 
0.1%
11 1
 
0.1%
10 2
 
0.2%
9 1
 
0.1%
8 5
 
0.6%
7 1
 
0.1%
6 14
 
1.7%
5 4
 
0.5%
4 41
5.0%
Distinct2
Distinct (%)0.2%
Missing3
Missing (%)0.4%
Memory size1.7 KiB
False
478 
True
336 
(Missing)
 
3
ValueCountFrequency (%)
False 478
58.5%
True 336
41.1%
(Missing) 3
 
0.4%
2023-12-11T04:58:37.996466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
0
431 
<NA>
382 
3
 
2
4
 
1
6
 
1

Length

Max length4
Median length1
Mean length2.4026928
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 431
52.8%
<NA> 382
46.8%
3 2
 
0.2%
4 1
 
0.1%
6 1
 
0.1%

Length

2023-12-11T04:58:38.154420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:38.342786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 431
52.8%
na 382
46.8%
3 2
 
0.2%
4 1
 
0.1%
6 1
 
0.1%

조건부허가신고사유
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing816
Missing (%)99.9%
Memory size6.5 KiB
2023-12-11T04:58:38.594457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length44
Mean length44
Min length44

Characters and Unicode

Total characters44
Distinct characters35
Distinct categories6 ?
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 row폐업,지위승계등금지(시간외청소년출입):2007.05.07(월)현재 행정처분진행중
ValueCountFrequency (%)
폐업,지위승계등금지(시간외청소년출입):2007.05.07(월)현재 1
50.0%
행정처분진행중 1
50.0%
2023-12-11T04:58:39.051249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4
 
9.1%
( 2
 
4.5%
2
 
4.5%
7 2
 
4.5%
. 2
 
4.5%
) 2
 
4.5%
2
 
4.5%
1
 
2.3%
1
 
2.3%
1
 
2.3%
Other values (25) 25
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27
61.4%
Decimal Number 8
 
18.2%
Other Punctuation 4
 
9.1%
Open Punctuation 2
 
4.5%
Close Punctuation 2
 
4.5%
Space Separator 1
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
 
7.4%
2
 
7.4%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Other values (15) 15
55.6%
Decimal Number
ValueCountFrequency (%)
0 4
50.0%
7 2
25.0%
5 1
 
12.5%
2 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
: 1
25.0%
, 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27
61.4%
Common 17
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
 
7.4%
2
 
7.4%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Other values (15) 15
55.6%
Common
ValueCountFrequency (%)
0 4
23.5%
( 2
11.8%
7 2
11.8%
. 2
11.8%
) 2
11.8%
1
 
5.9%
: 1
 
5.9%
5 1
 
5.9%
2 1
 
5.9%
, 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27
61.4%
ASCII 17
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4
23.5%
( 2
11.8%
7 2
11.8%
. 2
11.8%
) 2
11.8%
1
 
5.9%
: 1
 
5.9%
5 1
 
5.9%
2 1
 
5.9%
, 1
 
5.9%
Hangul
ValueCountFrequency (%)
2
 
7.4%
2
 
7.4%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Other values (15) 15
55.6%

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing817
Missing (%)100.0%
Memory size7.3 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing817
Missing (%)100.0%
Memory size7.3 KiB
Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
<NA>
464 
자가
238 
임대
115 

Length

Max length4
Median length4
Mean length3.1358629
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 464
56.8%
자가 238
29.1%
임대 115
 
14.1%

Length

2023-12-11T04:58:39.257413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:39.450776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 464
56.8%
자가 238
29.1%
임대 115
 
14.1%

세탁기수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
<NA>
454 
0
363 

Length

Max length4
Median length4
Mean length2.6670747
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 454
55.6%
0 363
44.4%

Length

2023-12-11T04:58:39.648196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:39.821453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 454
55.6%
0 363
44.4%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)7.9%
Missing741
Missing (%)90.7%
Infinite0
Infinite (%)0.0%
Mean0.60526316
Minimum0
Maximum7
Zeros57
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-11T04:58:39.958824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.25
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation1.2762335
Coefficient of variation (CV)2.1085597
Kurtosis8.9555108
Mean0.60526316
Median Absolute Deviation (MAD)0
Skewness2.7229055
Sum46
Variance1.6287719
MonotonicityNot monotonic
2023-12-11T04:58:40.113946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 57
 
7.0%
2 9
 
1.1%
3 4
 
0.5%
1 4
 
0.5%
5 1
 
0.1%
7 1
 
0.1%
(Missing) 741
90.7%
ValueCountFrequency (%)
0 57
7.0%
1 4
 
0.5%
2 9
 
1.1%
3 4
 
0.5%
5 1
 
0.1%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
5 1
 
0.1%
3 4
 
0.5%
2 9
 
1.1%
1 4
 
0.5%
0 57
7.0%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)7.7%
Missing739
Missing (%)90.5%
Infinite0
Infinite (%)0.0%
Mean0.64102564
Minimum0
Maximum7
Zeros57
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-11T04:58:40.256048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3384849
Coefficient of variation (CV)2.0880364
Kurtosis7.8791328
Mean0.64102564
Median Absolute Deviation (MAD)0
Skewness2.6578512
Sum50
Variance1.7915418
MonotonicityNot monotonic
2023-12-11T04:58:40.384843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 57
 
7.0%
2 7
 
0.9%
1 7
 
0.9%
3 4
 
0.5%
5 2
 
0.2%
7 1
 
0.1%
(Missing) 739
90.5%
ValueCountFrequency (%)
0 57
7.0%
1 7
 
0.9%
2 7
 
0.9%
3 4
 
0.5%
5 2
 
0.2%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
5 2
 
0.2%
3 4
 
0.5%
2 7
 
0.9%
1 7
 
0.9%
0 57
7.0%

회수건조수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
<NA>
475 
0
342 

Length

Max length4
Median length4
Mean length2.744186
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 475
58.1%
0 342
41.9%

Length

2023-12-11T04:58:40.588583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:40.740056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 475
58.1%
0 342
41.9%

침대수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
<NA>
479 
0
338 

Length

Max length4
Median length4
Mean length2.7588739
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 479
58.6%
0 338
41.4%

Length

2023-12-11T04:58:40.912779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:58:41.051827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 479
58.6%
0 338
41.4%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size949.0 B
False
798 
True
 
19
ValueCountFrequency (%)
False 798
97.7%
True 19
 
2.3%
2023-12-11T04:58:41.166410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부의자수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
01목욕장업11_44_01_P34100003410000-202-1973-0000119730908<NA>3폐업2폐업20071101<NA><NA><NA><NA>179.52700841대구광역시 중구 달성동 179-1번지<NA><NA>동호20030715000000I2018-08-31 23:59:59.0공동탕업342466.641224265209.150313공동탕업3<NA>22<NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
12목욕장업11_44_01_P34100003410000-202-1974-0000219740314<NA>3폐업2폐업20040427<NA><NA><NA>053 4245959257.86700849대구광역시 중구 동인동4가 453-4번지<NA><NA>덕성탕20040427000000I2018-08-31 23:59:59.0공동탕업345487.369465264409.839814공동탕업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
23목욕장업11_44_01_P34100003410000-202-1983-0000219830920<NA>3폐업2폐업20150703<NA><NA><NA>053 4225055637.60700843대구광역시 중구 동인동2가 0227-0008번지대구광역시 중구 국채보상로140길 16 (동인동2가)41944라이온수20120125113540I2018-08-31 23:59:59.0공동탕업344981.918922264289.975858공동탕업000000000N0<NA><NA><NA><NA>0<NA><NA>00N
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45목욕장업11_44_01_P34100003410000-202-1970-0000519701008<NA>3폐업2폐업20060608<NA><NA><NA><NA>309.60700413대구광역시 중구 삼덕동3가 342-2번지<NA><NA>청하탕20040214000000I2018-08-31 23:59:59.0공동탕업344958.139165263805.13112공동탕업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
56목욕장업11_44_01_P34100003410000-202-1974-0000319741230<NA>3폐업2폐업20090119<NA><NA><NA>053 4247143390.00700845대구광역시 중구 동인동3가 271번지<NA><NA>영흥탕20030723000000I2018-08-31 23:59:59.0공동탕업<NA><NA>공동탕업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
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89목욕장업11_44_01_P34100003410000-202-1973-0000219730512<NA>1영업/정상1영업<NA><NA><NA><NA>053 4259304185.76700843대구광역시 중구 동인동2가 0226-0004대구광역시 중구 국채보상로 688-19 (동인동2가)41944평양식한증20210322175456U2021-03-24 02:40:00.0한증막업344954.418062264278.406287한증막업000000000N0<NA><NA><NA><NA>0<NA><NA>00N
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808809목욕장업11_44_01_P34800003480000-202-1986-0000119861222<NA>3폐업2폐업20121029<NA><NA><NA>053 6140119378.40711841대구광역시 달성군 옥포면 간경리 850번지대구광역시 달성군 옥포면 비슬로457길 342972반도목욕탕20030816000000I2018-08-31 23:59:59.0공동탕업332870.658242255521.770518공동탕업4114<NA>1<NA><NA>2Y<NA><NA><NA><NA>자가<NA><NA><NA><NA><NA>N
809810목욕장업11_44_01_P34800003480000-202-1967-0000119671116<NA>3폐업2폐업20200831<NA><NA><NA>053 6325464758.80711835대구광역시 달성군 화원읍 천내리 402-1대구광역시 달성군 화원읍 비슬로 2568-342962스파피아20200831140941U2020-09-02 02:40:00.0공동탕업335320.097323256917.0486공동탕업511300002Y0<NA><NA><NA>자가0<NA><NA>00N
810811목욕장업11_44_01_P34800003480000-202-2000-0000820000925<NA>3폐업2폐업20100309<NA><NA><NA>053 6160336700.00711844대구광역시 달성군 옥포면 김흥리 1021번지<NA><NA>비슬산한증막20050706000000I2018-08-31 23:59:59.0공동탕업335007.529259250482.263766공동탕업1<NA>11<NA><NA><NA><NA>2Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
811812목욕장업11_44_01_P34800003480000-202-2008-0000120080229<NA>3폐업2폐업20141021<NA><NA><NA>053 586 8945191.40711811대구광역시 달성군 다사읍 달천리 81번지대구광역시 달성군 다사읍 다사로 48342907달래 황토찜질방20080325155915I2018-08-31 23:59:59.0찜질시설서비스영업333736.775561266365.714022찜질시설서비스영업0011<NA><NA>000Y0<NA><NA><NA>임대0<NA><NA><NA><NA>N
812813목욕장업11_44_01_P34800003480000-202-1980-0000219800418<NA>3폐업2폐업20140221<NA><NA><NA>05306145004192.24711891대구광역시 달성군 구지면 창리 472-2번지<NA><NA>구지목욕탕20140217150142I2018-08-31 23:59:59.0공동탕업327529.514434240746.717574공동탕업2<NA>11<NA><NA><NA><NA>2Y<NA><NA><NA><NA>자가<NA><NA><NA><NA><NA>N
813814목욕장업11_44_01_P34800003480000-202-1996-0000119960930<NA>3폐업2폐업20160429<NA><NA><NA>053 6377998792.57711839대구광역시 달성군 화원읍 성산리 493-27번지대구광역시 달성군 화원읍 성화로4길 1142946태왕목욕탕20160330175741I2018-08-31 23:59:59.0공동탕업334704.808295256765.18442공동탕업412411002Y0<NA><NA><NA>자가0<NA><NA>00N
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815816목욕장업11_44_01_P34800003480000-202-1980-0000119801231<NA>3폐업2폐업20080918<NA><NA><NA>05306117827210.00711874대구광역시 달성군 현풍면 하리 115-5번지<NA><NA>명신목욕탕20030816000000I2018-08-31 23:59:59.0공동탕업330585.519076244859.344723공동탕업2<NA>11<NA><NA><NA><NA>2Y<NA><NA><NA><NA>자가<NA><NA><NA><NA><NA>N
816817목욕장업11_44_01_P34800003480000-202-1995-0000219950414<NA>1영업/정상1영업<NA><NA><NA><NA>05306111103687.06711872대구광역시 달성군 현풍면 성하리 402-9번지대구광역시 달성군 현풍면 현풍중앙로21길 243000청구목욕탕20180725102331I2018-08-31 23:59:59.0공동탕업330342.686681245205.925241공동탕업512300002Y0<NA><NA><NA>자가0<NA><NA>00N