Overview

Dataset statistics

Number of variables50
Number of observations809
Missing cells9457
Missing cells (%)23.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory341.4 KiB
Average record size in memory432.2 B

Variable types

Numeric16
Categorical18
Text7
Unsupported6
DateTime1
Boolean2

Dataset

Description6270000_대구광역시_11_44_01_P_목욕장업_11월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000078211&dataSetDetailId=DDI_0000078209&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
조건부허가신고사유 has constant value ""Constant
업태구분명 is highly imbalanced (72.5%)Imbalance
위생업태명 is highly imbalanced (72.5%)Imbalance
의자수 is highly imbalanced (54.9%)Imbalance
다중이용업소여부 is highly imbalanced (83.9%)Imbalance
인허가취소일자 has 809 (100.0%) missing valuesMissing
폐업일자 has 313 (38.7%) missing valuesMissing
휴업시작일자 has 809 (100.0%) missing valuesMissing
휴업종료일자 has 809 (100.0%) missing valuesMissing
재개업일자 has 809 (100.0%) missing valuesMissing
소재지전화 has 27 (3.3%) missing valuesMissing
도로명전체주소 has 330 (40.8%) missing valuesMissing
도로명우편번호 has 339 (41.9%) missing valuesMissing
좌표정보(X) has 46 (5.7%) missing valuesMissing
좌표정보(Y) has 46 (5.7%) missing valuesMissing
건물지상층수 has 176 (21.8%) missing valuesMissing
건물지하층수 has 239 (29.5%) missing valuesMissing
사용시작지상층 has 223 (27.6%) missing valuesMissing
사용끝지상층 has 284 (35.1%) missing valuesMissing
욕실수 has 243 (30.0%) missing valuesMissing
조건부허가신고사유 has 808 (99.9%) missing valuesMissing
조건부허가시작일자 has 809 (100.0%) missing valuesMissing
조건부허가종료일자 has 809 (100.0%) missing valuesMissing
여성종사자수 has 763 (94.3%) missing valuesMissing
남성종사자수 has 761 (94.1%) missing valuesMissing
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 128 (15.8%) zerosZeros
건물지하층수 has 166 (20.5%) zerosZeros
사용시작지상층 has 145 (17.9%) zerosZeros
사용끝지상층 has 85 (10.5%) zerosZeros
욕실수 has 182 (22.5%) zerosZeros
여성종사자수 has 29 (3.6%) zerosZeros
남성종사자수 has 29 (3.6%) zerosZeros

Reproduction

Analysis started2024-04-21 21:34:51.640598
Analysis finished2024-04-21 21:34:53.192368
Duration1.55 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct809
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean405
Minimum1
Maximum809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-22T06:34:53.388100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile41.4
Q1203
median405
Q3607
95-th percentile768.6
Maximum809
Range808
Interquartile range (IQR)404

Descriptive statistics

Standard deviation233.68248
Coefficient of variation (CV)0.57699377
Kurtosis-1.2
Mean405
Median Absolute Deviation (MAD)202
Skewness0
Sum327645
Variance54607.5
MonotonicityStrictly increasing
2024-04-22T06:34:53.852155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
544 1
 
0.1%
534 1
 
0.1%
535 1
 
0.1%
536 1
 
0.1%
537 1
 
0.1%
538 1
 
0.1%
539 1
 
0.1%
540 1
 
0.1%
541 1
 
0.1%
Other values (799) 799
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 (%)
809 1
0.1%
808 1
0.1%
807 1
0.1%
806 1
0.1%
805 1
0.1%
804 1
0.1%
803 1
0.1%
802 1
0.1%
801 1
0.1%
800 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
목욕장업
809 

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 809
100.0%

Length

2024-04-22T06:34:54.271909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:34:54.576745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목욕장업 809
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
11_44_01_P
809 

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 809
100.0%

Length

2024-04-22T06:34:54.892269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:34:55.199099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_44_01_p 809
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3444894.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-22T06:34:55.482180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33460000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation21014.377
Coefficient of variation (CV)0.0061001504
Kurtosis-1.2267526
Mean3444894.9
Median Absolute Deviation (MAD)20000
Skewness-0.13324735
Sum2.78692 × 109
Variance4.4160405 × 108
MonotonicityIncreasing
2024-04-22T06:34:55.855752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 140
17.3%
3420000 132
16.3%
3450000 130
16.1%
3460000 129
15.9%
3430000 90
11.1%
3440000 80
9.9%
3410000 70
8.7%
3480000 38
 
4.7%
ValueCountFrequency (%)
3410000 70
8.7%
3420000 132
16.3%
3430000 90
11.1%
3440000 80
9.9%
3450000 130
16.1%
3460000 129
15.9%
3470000 140
17.3%
3480000 38
 
4.7%
ValueCountFrequency (%)
3480000 38
 
4.7%
3470000 140
17.3%
3460000 129
15.9%
3450000 130
16.1%
3440000 80
9.9%
3430000 90
11.1%
3420000 132
16.3%
3410000 70
8.7%

관리번호
Text

UNIQUE 

Distinct809
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2024-04-22T06:34:56.575878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters17798
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

Unique809 ?
Unique (%)100.0%

Sample

1st row3410000-202-2008-00001
2nd row3410000-202-2005-00003
3rd row3410000-202-2005-00005
4th row3410000-202-2018-00001
5th row3410000-202-2018-00002
ValueCountFrequency (%)
3410000-202-2008-00001 1
 
0.1%
3460000-202-1999-00010 1
 
0.1%
3460000-202-1997-00043 1
 
0.1%
3460000-202-2006-00004 1
 
0.1%
3460000-202-1999-00003 1
 
0.1%
3460000-202-2001-00002 1
 
0.1%
3460000-202-1999-00009 1
 
0.1%
3460000-202-2003-00001 1
 
0.1%
3460000-202-1997-00040 1
 
0.1%
3460000-202-2001-00005 1
 
0.1%
Other values (799) 799
98.8%
2024-04-22T06:34:57.660648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7904
44.4%
- 2427
 
13.6%
2 2407
 
13.5%
3 1185
 
6.7%
4 1063
 
6.0%
1 919
 
5.2%
9 763
 
4.3%
7 402
 
2.3%
5 260
 
1.5%
6 255
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15371
86.4%
Dash Punctuation 2427
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7904
51.4%
2 2407
 
15.7%
3 1185
 
7.7%
4 1063
 
6.9%
1 919
 
6.0%
9 763
 
5.0%
7 402
 
2.6%
5 260
 
1.7%
6 255
 
1.7%
8 213
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 2427
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17798
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7904
44.4%
- 2427
 
13.6%
2 2407
 
13.5%
3 1185
 
6.7%
4 1063
 
6.0%
1 919
 
5.2%
9 763
 
4.3%
7 402
 
2.3%
5 260
 
1.5%
6 255
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17798
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7904
44.4%
- 2427
 
13.6%
2 2407
 
13.5%
3 1185
 
6.7%
4 1063
 
6.0%
1 919
 
5.2%
9 763
 
4.3%
7 402
 
2.3%
5 260
 
1.5%
6 255
 
1.4%

인허가일자
Real number (ℝ)

Distinct651
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19973000
Minimum19601125
Maximum20190911
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-22T06:34:58.078262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19601125
5-th percentile19741217
Q119950126
median19981221
Q320030718
95-th percentile20130120
Maximum20190911
Range589786
Interquartile range (IQR)80592

Descriptive statistics

Standard deviation103065.72
Coefficient of variation (CV)0.0051602524
Kurtosis0.90321926
Mean19973000
Median Absolute Deviation (MAD)49497
Skewness-0.80640571
Sum1.6158157 × 1010
Variance1.0622543 × 1010
MonotonicityNot monotonic
2024-04-22T06:34:58.531133image/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%
19970909 3
 
0.4%
Other values (641) 682
84.3%
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 (%)
20190911 1
0.1%
20190902 2
0.2%
20190703 1
0.1%
20190215 1
0.1%
20190117 1
0.1%
20181030 1
0.1%
20181023 1
0.1%
20180430 1
0.1%
20180420 1
0.1%
20180328 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
3
497 
1
312 

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 (%)
3 497
61.4%
1 312
38.6%

Length

2024-04-22T06:34:58.818458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:34:58.992253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 497
61.4%
1 312
38.6%

영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
폐업
497 
영업/정상
312 

Length

Max length5
Median length2
Mean length3.1569839
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 497
61.4%
영업/정상 312
38.6%

Length

2024-04-22T06:34:59.182568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:34:59.368610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 497
61.4%
영업/정상 312
38.6%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2
497 
1
312 

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 (%)
2 497
61.4%
1 312
38.6%

Length

2024-04-22T06:34:59.546445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:34:59.717951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 497
61.4%
1 312
38.6%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
폐업
497 
영업
312 

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 497
61.4%
영업 312
38.6%

Length

2024-04-22T06:34:59.894885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:35:00.067278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 497
61.4%
영업 312
38.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct440
Distinct (%)88.7%
Missing313
Missing (%)38.7%
Infinite0
Infinite (%)0.0%
Mean20093969
Minimum20010321
Maximum20191126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-22T06:35:00.273478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010321
5-th percentile20030382
Q120050584
median20080914
Q320140610
95-th percentile20181058
Maximum20191126
Range180805
Interquartile range (IQR)90026

Descriptive statistics

Standard deviation52020.461
Coefficient of variation (CV)0.0025888594
Kurtosis-1.1389456
Mean20093969
Median Absolute Deviation (MAD)40003.5
Skewness0.3526359
Sum9.9666088 × 109
Variance2.7061283 × 109
MonotonicityNot monotonic
2024-04-22T06:35:00.539938image/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%
20060419 3
 
0.4%
20120111 3
 
0.4%
20190701 3
 
0.4%
20050117 3
 
0.4%
20031229 3
 
0.4%
20041103 3
 
0.4%
20090108 3
 
0.4%
Other values (430) 456
56.4%
(Missing) 313
38.7%
ValueCountFrequency (%)
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%
20020613 1
0.1%
ValueCountFrequency (%)
20191126 1
0.1%
20191106 1
0.1%
20191022 1
0.1%
20191018 1
0.1%
20191004 2
0.2%
20190927 1
0.1%
20190926 1
0.1%
20190909 1
0.1%
20190801 1
0.1%
20190709 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

소재지전화
Text

MISSING 

Distinct753
Distinct (%)96.3%
Missing27
Missing (%)3.3%
Memory size6.4 KiB
2024-04-22T06:35:01.608527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.745524
Min length7

Characters and Unicode

Total characters8403
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

Unique724 ?
Unique (%)92.6%

Sample

1st row053 4276665
2nd row053 4278811
3rd row053 2547611
4th row053 2018100
5th row053 2537711
ValueCountFrequency (%)
053 644
40.3%
767 8
 
0.5%
753 6
 
0.4%
743 6
 
0.4%
781 6
 
0.4%
765 5
 
0.3%
752 5
 
0.3%
792 4
 
0.3%
323 4
 
0.3%
763 4
 
0.3%
Other values (827) 905
56.7%
2024-04-22T06:35:02.905695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1497
17.8%
0 1263
15.0%
3 1253
14.9%
821
9.8%
6 604
7.2%
2 590
 
7.0%
7 539
 
6.4%
1 483
 
5.7%
4 470
 
5.6%
8 451
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7582
90.2%
Space Separator 821
 
9.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1497
19.7%
0 1263
16.7%
3 1253
16.5%
6 604
8.0%
2 590
 
7.8%
7 539
 
7.1%
1 483
 
6.4%
4 470
 
6.2%
8 451
 
5.9%
9 432
 
5.7%
Space Separator
ValueCountFrequency (%)
821
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8403
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1497
17.8%
0 1263
15.0%
3 1253
14.9%
821
9.8%
6 604
7.2%
2 590
 
7.0%
7 539
 
6.4%
1 483
 
5.7%
4 470
 
5.6%
8 451
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8403
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1497
17.8%
0 1263
15.0%
3 1253
14.9%
821
9.8%
6 604
7.2%
2 590
 
7.0%
7 539
 
6.4%
1 483
 
5.7%
4 470
 
5.6%
8 451
 
5.4%
Distinct750
Distinct (%)92.8%
Missing1
Missing (%)0.1%
Memory size6.4 KiB
2024-04-22T06:35:03.989523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.2858911
Min length3

Characters and Unicode

Total characters5079
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

Unique712 ?
Unique (%)88.1%

Sample

1st row2,025.33
2nd row425.47
3rd row343.68
4th row604.23
5th row183.70
ValueCountFrequency (%)
00 15
 
1.9%
660.00 5
 
0.6%
450.00 3
 
0.4%
492.00 3
 
0.4%
221.00 3
 
0.4%
165.00 3
 
0.4%
425.18 2
 
0.2%
382.00 2
 
0.2%
785.53 2
 
0.2%
650.00 2
 
0.2%
Other values (740) 768
95.0%
2024-04-22T06:35:05.482221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 863
17.0%
. 808
15.9%
1 411
8.1%
4 405
8.0%
5 396
7.8%
2 388
7.6%
3 387
7.6%
6 357
7.0%
8 336
 
6.6%
7 307
 
6.0%
Other values (2) 421
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4129
81.3%
Other Punctuation 950
 
18.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 863
20.9%
1 411
10.0%
4 405
9.8%
5 396
9.6%
2 388
9.4%
3 387
9.4%
6 357
8.6%
8 336
 
8.1%
7 307
 
7.4%
9 279
 
6.8%
Other Punctuation
ValueCountFrequency (%)
. 808
85.1%
, 142
 
14.9%

Most occurring scripts

ValueCountFrequency (%)
Common 5079
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 863
17.0%
. 808
15.9%
1 411
8.1%
4 405
8.0%
5 396
7.8%
2 388
7.6%
3 387
7.6%
6 357
7.0%
8 336
 
6.6%
7 307
 
6.0%
Other values (2) 421
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5079
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 863
17.0%
. 808
15.9%
1 411
8.1%
4 405
8.0%
5 396
7.8%
2 388
7.6%
3 387
7.6%
6 357
7.0%
8 336
 
6.6%
7 307
 
6.0%
Other values (2) 421
8.3%

소재지우편번호
Real number (ℝ)

Distinct381
Distinct (%)47.2%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean704205.09
Minimum700010
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-22T06:35:05.894229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700010
5-th percentile700805.7
Q1701974.25
median703844
Q3705824.25
95-th percentile706851.65
Maximum711892
Range11882
Interquartile range (IQR)3850

Descriptive statistics

Standard deviation2569.1713
Coefficient of variation (CV)0.0036483282
Kurtosis1.318819
Mean704205.09
Median Absolute Deviation (MAD)1978.5
Skewness0.94899428
Sum5.6899771 × 108
Variance6600641.2
MonotonicityNot monotonic
2024-04-22T06:35:06.599432image/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%
706170 6
 
0.7%
705828 6
 
0.7%
706833 6
 
0.7%
701846 6
 
0.7%
Other values (371) 736
91.0%
ValueCountFrequency (%)
700010 1
 
0.1%
700020 3
0.4%
700082 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%
700261 1
 
0.1%
ValueCountFrequency (%)
711892 1
 
0.1%
711891 1
 
0.1%
711874 2
 
0.2%
711873 1
 
0.1%
711872 1
 
0.1%
711863 1
 
0.1%
711861 1
 
0.1%
711858 1
 
0.1%
711852 6
0.7%
711844 2
 
0.2%
Distinct737
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2024-04-22T06:35:07.645977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length43
Mean length23.007417
Min length18

Characters and Unicode

Total characters18613
Distinct characters186
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

Unique670 ?
Unique (%)82.8%

Sample

1st row대구광역시 중구 남산동 0665번지
2nd row대구광역시 중구 동인동4가 0523-0004번지
3rd row대구광역시 중구 남산동 2212-0001번지
4th row대구광역시 중구 남산동 2486-0001번지 지상 2층
5th row대구광역시 중구 동산동 0360번지 엘디스리젠트호텔 지하 1층
ValueCountFrequency (%)
대구광역시 809
23.6%
달서구 140
 
4.1%
동구 132
 
3.9%
북구 130
 
3.8%
수성구 129
 
3.8%
서구 90
 
2.6%
남구 80
 
2.3%
중구 70
 
2.0%
대명동 51
 
1.5%
달성군 38
 
1.1%
Other values (959) 1755
51.3%
2024-04-22T06:35:09.088640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3424
18.4%
1589
 
8.5%
926
 
5.0%
891
 
4.8%
888
 
4.8%
1 882
 
4.7%
816
 
4.4%
811
 
4.4%
810
 
4.4%
809
 
4.3%
Other values (176) 6767
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10478
56.3%
Decimal Number 3922
 
21.1%
Space Separator 3424
 
18.4%
Dash Punctuation 692
 
3.7%
Other Punctuation 54
 
0.3%
Open Punctuation 19
 
0.1%
Close Punctuation 19
 
0.1%
Uppercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1589
15.2%
926
 
8.8%
891
 
8.5%
888
 
8.5%
816
 
7.8%
811
 
7.7%
810
 
7.7%
809
 
7.7%
239
 
2.3%
232
 
2.2%
Other values (156) 2467
23.5%
Decimal Number
ValueCountFrequency (%)
1 882
22.5%
2 539
13.7%
0 432
11.0%
3 379
9.7%
4 350
 
8.9%
5 325
 
8.3%
6 288
 
7.3%
7 270
 
6.9%
8 236
 
6.0%
9 221
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 52
96.3%
. 1
 
1.9%
@ 1
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
A 2
50.0%
Space Separator
ValueCountFrequency (%)
3424
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 692
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10478
56.3%
Common 8131
43.7%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1589
15.2%
926
 
8.8%
891
 
8.5%
888
 
8.5%
816
 
7.8%
811
 
7.7%
810
 
7.7%
809
 
7.7%
239
 
2.3%
232
 
2.2%
Other values (156) 2467
23.5%
Common
ValueCountFrequency (%)
3424
42.1%
1 882
 
10.8%
- 692
 
8.5%
2 539
 
6.6%
0 432
 
5.3%
3 379
 
4.7%
4 350
 
4.3%
5 325
 
4.0%
6 288
 
3.5%
7 270
 
3.3%
Other values (8) 550
 
6.8%
Latin
ValueCountFrequency (%)
B 2
50.0%
A 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10478
56.3%
ASCII 8135
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3424
42.1%
1 882
 
10.8%
- 692
 
8.5%
2 539
 
6.6%
0 432
 
5.3%
3 379
 
4.7%
4 350
 
4.3%
5 325
 
4.0%
6 288
 
3.5%
7 270
 
3.3%
Other values (10) 554
 
6.8%
Hangul
ValueCountFrequency (%)
1589
15.2%
926
 
8.8%
891
 
8.5%
888
 
8.5%
816
 
7.8%
811
 
7.7%
810
 
7.7%
809
 
7.7%
239
 
2.3%
232
 
2.2%
Other values (156) 2467
23.5%

도로명전체주소
Text

MISSING 

Distinct473
Distinct (%)98.7%
Missing330
Missing (%)40.8%
Memory size6.4 KiB
2024-04-22T06:35:10.266532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length47
Mean length25.609603
Min length20

Characters and Unicode

Total characters12267
Distinct characters230
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

Unique467 ?
Unique (%)97.5%

Sample

1st row대구광역시 중구 중앙대로67길 10 (남산동)
2nd row대구광역시 중구 국채보상로150길 37 (동인동4가)
3rd row대구광역시 중구 남산로4길 52 (남산동)
4th row대구광역시 중구 남산로7길 50, 지상 2층 (남산동)
5th row대구광역시 중구 달구벌대로 2033, 엘디스리젠트호텔 지하 1층 (동산동)
ValueCountFrequency (%)
대구광역시 479
 
18.9%
달서구 82
 
3.2%
동구 79
 
3.1%
수성구 75
 
3.0%
북구 71
 
2.8%
서구 54
 
2.1%
남구 50
 
2.0%
중구 36
 
1.4%
대명동 34
 
1.3%
달성군 32
 
1.3%
Other values (824) 1537
60.8%
2024-04-22T06:35:11.621094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2050
 
16.7%
985
 
8.0%
618
 
5.0%
608
 
5.0%
487
 
4.0%
482
 
3.9%
480
 
3.9%
( 456
 
3.7%
) 456
 
3.7%
452
 
3.7%
Other values (220) 5193
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7217
58.8%
Space Separator 2050
 
16.7%
Decimal Number 1844
 
15.0%
Open Punctuation 456
 
3.7%
Close Punctuation 456
 
3.7%
Other Punctuation 142
 
1.2%
Dash Punctuation 76
 
0.6%
Math Symbol 15
 
0.1%
Uppercase Letter 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
985
 
13.6%
618
 
8.6%
608
 
8.4%
487
 
6.7%
482
 
6.7%
480
 
6.7%
452
 
6.3%
237
 
3.3%
172
 
2.4%
168
 
2.3%
Other values (199) 2528
35.0%
Decimal Number
ValueCountFrequency (%)
1 377
20.4%
2 299
16.2%
3 227
12.3%
0 161
8.7%
5 159
8.6%
4 153
8.3%
6 145
 
7.9%
7 127
 
6.9%
9 98
 
5.3%
8 98
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 140
98.6%
. 1
 
0.7%
· 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
A 6
54.5%
B 4
36.4%
C 1
 
9.1%
Space Separator
ValueCountFrequency (%)
2050
100.0%
Open Punctuation
ValueCountFrequency (%)
( 456
100.0%
Close Punctuation
ValueCountFrequency (%)
) 456
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7217
58.8%
Common 5039
41.1%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
985
 
13.6%
618
 
8.6%
608
 
8.4%
487
 
6.7%
482
 
6.7%
480
 
6.7%
452
 
6.3%
237
 
3.3%
172
 
2.4%
168
 
2.3%
Other values (199) 2528
35.0%
Common
ValueCountFrequency (%)
2050
40.7%
( 456
 
9.0%
) 456
 
9.0%
1 377
 
7.5%
2 299
 
5.9%
3 227
 
4.5%
0 161
 
3.2%
5 159
 
3.2%
4 153
 
3.0%
6 145
 
2.9%
Other values (8) 556
 
11.0%
Latin
ValueCountFrequency (%)
A 6
54.5%
B 4
36.4%
C 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7217
58.8%
ASCII 5049
41.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2050
40.6%
( 456
 
9.0%
) 456
 
9.0%
1 377
 
7.5%
2 299
 
5.9%
3 227
 
4.5%
0 161
 
3.2%
5 159
 
3.1%
4 153
 
3.0%
6 145
 
2.9%
Other values (10) 566
 
11.2%
Hangul
ValueCountFrequency (%)
985
 
13.6%
618
 
8.6%
608
 
8.4%
487
 
6.7%
482
 
6.7%
480
 
6.7%
452
 
6.3%
237
 
3.3%
172
 
2.4%
168
 
2.3%
Other values (199) 2528
35.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct383
Distinct (%)81.5%
Missing339
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean42014.085
Minimum41000
Maximum43013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-22T06:35:11.862919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41112
Q141536.5
median41977
Q342495.25
95-th percentile42934.4
Maximum43013
Range2013
Interquartile range (IQR)958.75

Descriptive statistics

Standard deviation582.64978
Coefficient of variation (CV)0.013867963
Kurtosis-1.1486241
Mean42014.085
Median Absolute Deviation (MAD)482.5
Skewness-0.033738447
Sum19746620
Variance339480.77
MonotonicityNot monotonic
2024-04-22T06:35:12.127805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42728 3
 
0.4%
41436 3
 
0.4%
41557 3
 
0.4%
41008 3
 
0.4%
42288 3
 
0.4%
41913 3
 
0.4%
42678 3
 
0.4%
42439 3
 
0.4%
42413 3
 
0.4%
42612 3
 
0.4%
Other values (373) 440
54.4%
(Missing) 339
41.9%
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 (%)
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%
42977 2
0.2%
Distinct704
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2024-04-22T06:35:13.103541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length5.0939431
Min length2

Characters and Unicode

Total characters4121
Distinct characters302
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

Unique631 ?
Unique (%)78.0%

Sample

1st row그린빌사우나
2nd row명성사우나
3rd row약수탕
4th row강산스파헬스
5th row엘디스사우나
ValueCountFrequency (%)
사우나 7
 
0.8%
그린목욕탕 5
 
0.6%
한일목욕탕 5
 
0.6%
동영목욕탕 4
 
0.5%
대청사우나 4
 
0.5%
대동탕 4
 
0.5%
청수목욕탕 4
 
0.5%
호수탕 4
 
0.5%
장수목욕탕 4
 
0.5%
대림목욕탕 4
 
0.5%
Other values (715) 797
94.7%
2024-04-22T06:35:14.312535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
497
 
12.1%
280
 
6.8%
280
 
6.8%
152
 
3.7%
149
 
3.6%
149
 
3.6%
99
 
2.4%
86
 
2.1%
74
 
1.8%
74
 
1.8%
Other values (292) 2281
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4023
97.6%
Space Separator 35
 
0.8%
Open Punctuation 20
 
0.5%
Close Punctuation 20
 
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 (%)
497
 
12.4%
280
 
7.0%
280
 
7.0%
152
 
3.8%
149
 
3.7%
149
 
3.7%
99
 
2.5%
86
 
2.1%
74
 
1.8%
74
 
1.8%
Other values (275) 2183
54.3%
Uppercase Letter
ValueCountFrequency (%)
G 2
25.0%
T 2
25.0%
S 1
12.5%
M 1
12.5%
P 1
12.5%
O 1
12.5%
Decimal Number
ValueCountFrequency (%)
2 3
30.0%
3 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 (%)
35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4023
97.6%
Common 89
 
2.2%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
497
 
12.4%
280
 
7.0%
280
 
7.0%
152
 
3.8%
149
 
3.7%
149
 
3.7%
99
 
2.5%
86
 
2.1%
74
 
1.8%
74
 
1.8%
Other values (275) 2183
54.3%
Common
ValueCountFrequency (%)
35
39.3%
( 20
22.5%
) 20
22.5%
2 3
 
3.4%
3 3
 
3.4%
0 2
 
2.2%
, 2
 
2.2%
5 2
 
2.2%
/ 1
 
1.1%
1
 
1.1%
Latin
ValueCountFrequency (%)
G 2
22.2%
T 2
22.2%
S 1
11.1%
M 1
11.1%
P 1
11.1%
O 1
11.1%
e 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4023
97.6%
ASCII 97
 
2.4%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
497
 
12.4%
280
 
7.0%
280
 
7.0%
152
 
3.8%
149
 
3.7%
149
 
3.7%
99
 
2.5%
86
 
2.1%
74
 
1.8%
74
 
1.8%
Other values (275) 2183
54.3%
ASCII
ValueCountFrequency (%)
35
36.1%
( 20
20.6%
) 20
20.6%
2 3
 
3.1%
3 3
 
3.1%
0 2
 
2.1%
, 2
 
2.1%
G 2
 
2.1%
T 2
 
2.1%
5 2
 
2.1%
Other values (6) 6
 
6.2%
None
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct688
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0109858 × 1013
Minimum2.0020201 × 1013
Maximum2.0191129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-22T06:35:14.551538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0020201 × 1013
5-th percentile2.0020829 × 1013
Q12.0040624 × 1013
median2.0111121 × 1013
Q32.0180328 × 1013
95-th percentile2.0190917 × 1013
Maximum2.0191129 × 1013
Range1.7092817 × 1011
Interquartile range (IQR)1.3970417 × 1011

Descriptive statistics

Standard deviation6.3305065 × 1010
Coefficient of variation (CV)0.0031479618
Kurtosis-1.5525932
Mean2.0109858 × 1013
Median Absolute Deviation (MAD)6.9403977 × 1010
Skewness-0.047538539
Sum1.6268875 × 1016
Variance4.0075313 × 1021
MonotonicityNot monotonic
2024-04-22T06:35:14.810181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030927000000 25
 
3.1%
20020709000000 17
 
2.1%
20031027000000 13
 
1.6%
20030805000000 10
 
1.2%
20030804000000 9
 
1.1%
20020913000000 4
 
0.5%
20020408000000 4
 
0.5%
20031121000000 3
 
0.4%
20030816000000 3
 
0.4%
20030722000000 3
 
0.4%
Other values (678) 718
88.8%
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 (%)
20191129170450 1
0.1%
20191128161913 1
0.1%
20191127094913 1
0.1%
20191126105825 1
0.1%
20191120132303 1
0.1%
20191119152805 1
0.1%
20191118190504 1
0.1%
20191116164935 1
0.1%
20191113093441 1
0.1%
20191112204906 1
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
I
650 
U
159 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 650
80.3%
U 159
 
19.7%

Length

2024-04-22T06:35:15.046538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:35:15.216656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 650
80.3%
u 159
 
19.7%
Distinct95
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
Minimum2018-08-31 23:59:59
Maximum2019-12-01 02:40:00
2024-04-22T06:35:15.413529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T06:35:15.670055image/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 size6.4 KiB
공동탕업
726 
공동탕업+찜질시설서비스영업
 
47
찜질시설서비스영업
 
17
한증막업
 
16
목욕장업 기타
 
3

Length

Max length14
Median length4
Mean length4.697157
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공동탕업 726
89.7%
공동탕업+찜질시설서비스영업 47
 
5.8%
찜질시설서비스영업 17
 
2.1%
한증막업 16
 
2.0%
목욕장업 기타 3
 
0.4%

Length

2024-04-22T06:35:15.923099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:35:16.120520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동탕업 726
89.4%
공동탕업+찜질시설서비스영업 47
 
5.8%
찜질시설서비스영업 17
 
2.1%
한증막업 16
 
2.0%
목욕장업 3
 
0.4%
기타 3
 
0.4%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct659
Distinct (%)86.4%
Missing46
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean343328.69
Minimum327293.91
Maximum356189.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-22T06:35:16.341772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327293.91
5-th percentile335728.27
Q1340192.46
median343216.89
Q3346508.36
95-th percentile351135.28
Maximum356189.2
Range28895.287
Interquartile range (IQR)6315.9016

Descriptive statistics

Standard deviation4717.5298
Coefficient of variation (CV)0.013740564
Kurtosis0.70040204
Mean343328.69
Median Absolute Deviation (MAD)3148.0556
Skewness-0.078644379
Sum2.6195979 × 108
Variance22255087
MonotonicityNot monotonic
2024-04-22T06:35:16.578658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
337346.648864 4
 
0.5%
339273.069927 3
 
0.4%
340616.952958 3
 
0.4%
355698.459984 3
 
0.4%
338536.724925 3
 
0.4%
353142.033074 3
 
0.4%
338849.57742 3
 
0.4%
345310.581197 3
 
0.4%
343184.151781 3
 
0.4%
340286.680164 3
 
0.4%
Other values (649) 732
90.5%
(Missing) 46
 
5.7%
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 

Distinct659
Distinct (%)86.4%
Missing46
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean263538
Minimum238769.81
Maximum278091.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-22T06:35:16.826018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238769.81
5-th percentile257697.65
Q1261396.79
median263846.27
Q3265822.91
95-th percentile270148.6
Maximum278091.65
Range39321.841
Interquartile range (IQR)4426.1137

Descriptive statistics

Standard deviation4340.0804
Coefficient of variation (CV)0.016468519
Kurtosis5.4763772
Mean263538
Median Absolute Deviation (MAD)2192.3424
Skewness-0.93041558
Sum2.0107949 × 108
Variance18836298
MonotonicityNot monotonic
2024-04-22T06:35:17.091140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
258035.007517 4
 
0.5%
269989.71536 3
 
0.4%
266219.271086 3
 
0.4%
275787.590179 3
 
0.4%
260859.548667 3
 
0.4%
261737.213765 3
 
0.4%
257972.210093 3
 
0.4%
261330.273815 3
 
0.4%
264080.683793 3
 
0.4%
271242.256968 3
 
0.4%
Other values (649) 732
90.5%
(Missing) 46
 
5.7%
ValueCountFrequency (%)
238769.812522 1
0.1%
240746.717574 1
0.1%
244719.0 1
0.1%
244811.524282 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 size6.4 KiB
공동탕업
726 
공동탕업+찜질시설서비스영업
 
47
찜질시설서비스영업
 
17
한증막업
 
16
목욕장업 기타
 
3

Length

Max length14
Median length4
Mean length4.697157
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공동탕업 726
89.7%
공동탕업+찜질시설서비스영업 47
 
5.8%
찜질시설서비스영업 17
 
2.1%
한증막업 16
 
2.0%
목욕장업 기타 3
 
0.4%

Length

2024-04-22T06:35:17.344489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:35:17.540508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동탕업 726
89.4%
공동탕업+찜질시설서비스영업 47
 
5.8%
찜질시설서비스영업 17
 
2.1%
한증막업 16
 
2.0%
목욕장업 3
 
0.4%
기타 3
 
0.4%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)3.2%
Missing176
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean3.6477093
Minimum0
Maximum42
Zeros128
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-22T06:35:17.735803image/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 deviation3.5606053
Coefficient of variation (CV)0.9761209
Kurtosis32.942793
Mean3.6477093
Median Absolute Deviation (MAD)2
Skewness4.1988405
Sum2309
Variance12.67791
MonotonicityNot monotonic
2024-04-22T06:35:18.048520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 128
15.8%
4 120
14.8%
3 117
14.5%
5 96
11.9%
2 65
 
8.0%
6 38
 
4.7%
7 19
 
2.3%
9 11
 
1.4%
1 11
 
1.4%
8 9
 
1.1%
Other values (10) 19
 
2.3%
(Missing) 176
21.8%
ValueCountFrequency (%)
0 128
15.8%
1 11
 
1.4%
2 65
8.0%
3 117
14.5%
4 120
14.8%
5 96
11.9%
6 38
 
4.7%
7 19
 
2.3%
8 9
 
1.1%
9 11
 
1.4%
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%
Missing239
Missing (%)29.5%
Infinite0
Infinite (%)0.0%
Mean0.90350877
Minimum0
Maximum9
Zeros166
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-22T06:35:18.381403image/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 deviation0.89883051
Coefficient of variation (CV)0.99482211
Kurtosis24.84354
Mean0.90350877
Median Absolute Deviation (MAD)0
Skewness3.4405057
Sum515
Variance0.80789628
MonotonicityNot monotonic
2024-04-22T06:35:18.709941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 332
41.0%
0 166
20.5%
2 55
 
6.8%
4 7
 
0.9%
3 7
 
0.9%
9 2
 
0.2%
6 1
 
0.1%
(Missing) 239
29.5%
ValueCountFrequency (%)
0 166
20.5%
1 332
41.0%
2 55
 
6.8%
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 55
 
6.8%
1 332
41.0%
0 166
20.5%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)1.5%
Missing223
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean1.3788396
Minimum0
Maximum23
Zeros145
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-22T06:35:19.031491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum23
Range23
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5167992
Coefficient of variation (CV)1.1000548
Kurtosis71.164552
Mean1.3788396
Median Absolute Deviation (MAD)1
Skewness5.7353474
Sum808
Variance2.3006797
MonotonicityNot monotonic
2024-04-22T06:35:19.364048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 220
27.2%
2 153
18.9%
0 145
17.9%
3 37
 
4.6%
4 15
 
1.9%
5 6
 
0.7%
6 5
 
0.6%
7 4
 
0.5%
23 1
 
0.1%
(Missing) 223
27.6%
ValueCountFrequency (%)
0 145
17.9%
1 220
27.2%
2 153
18.9%
3 37
 
4.6%
4 15
 
1.9%
5 6
 
0.7%
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 6
 
0.7%
4 15
 
1.9%
3 37
 
4.6%
2 153
18.9%
1 220
27.2%
0 145
17.9%

사용끝지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)1.9%
Missing284
Missing (%)35.1%
Infinite0
Infinite (%)0.0%
Mean2.3809524
Minimum0
Maximum23
Zeros85
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-22T06:35:19.685939image/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 deviation1.8105973
Coefficient of variation (CV)0.76045085
Kurtosis31.756399
Mean2.3809524
Median Absolute Deviation (MAD)1
Skewness3.2073728
Sum1250
Variance3.2782625
MonotonicityNot monotonic
2024-04-22T06:35:20.026368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 190
23.5%
3 119
14.7%
0 85
 
10.5%
4 53
 
6.6%
1 35
 
4.3%
5 23
 
2.8%
6 10
 
1.2%
8 5
 
0.6%
7 4
 
0.5%
23 1
 
0.1%
(Missing) 284
35.1%
ValueCountFrequency (%)
0 85
10.5%
1 35
 
4.3%
2 190
23.5%
3 119
14.7%
4 53
 
6.6%
5 23
 
2.8%
6 10
 
1.2%
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 10
 
1.2%
5 23
 
2.8%
4 53
 
6.6%
3 119
14.7%
2 190
23.5%
1 35
 
4.3%
0 85
10.5%
Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
361 
0
345 
1
95 
2
 
8

Length

Max length4
Median length1
Mean length2.3386897
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
<NA> 361
44.6%
0 345
42.6%
1 95
 
11.7%
2 8
 
1.0%

Length

2024-04-22T06:35:20.414088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:35:20.751020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 361
44.6%
0 345
42.6%
1 95
 
11.7%
2 8
 
1.0%
Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
420 
0
275 
1
105 
2
 
6
3
 
3

Length

Max length4
Median length4
Mean length2.5574784
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
<NA> 420
51.9%
0 275
34.0%
1 105
 
13.0%
2 6
 
0.7%
3 3
 
0.4%

Length

2024-04-22T06:35:21.134204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:35:21.477622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 420
51.9%
0 275
34.0%
1 105
 
13.0%
2 6
 
0.7%
3 3
 
0.4%

한실수
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
0
416 
<NA>
392 
2
 
1

Length

Max length4
Median length1
Mean length2.4536465
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 416
51.4%
<NA> 392
48.5%
2 1
 
0.1%

Length

2024-04-22T06:35:21.867657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:35:22.200121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 416
51.4%
na 392
48.5%
2 1
 
0.1%

양실수
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
0
416 
<NA>
392 
34
 
1

Length

Max length4
Median length1
Mean length2.4548826
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 416
51.4%
<NA> 392
48.5%
34 1
 
0.1%

Length

2024-04-22T06:35:22.572407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:35:22.905350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 416
51.4%
na 392
48.5%
34 1
 
0.1%

욕실수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)2.5%
Missing243
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean1.7650177
Minimum0
Maximum22
Zeros182
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-22T06:35:23.118898image/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 deviation1.9241122
Coefficient of variation (CV)1.0901376
Kurtosis24.891674
Mean1.7650177
Median Absolute Deviation (MAD)0
Skewness3.3987773
Sum999
Variance3.7022077
MonotonicityNot monotonic
2024-04-22T06:35:23.305382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 299
37.0%
0 182
22.5%
4 39
 
4.8%
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) 243
30.0%
ValueCountFrequency (%)
0 182
22.5%
1 14
 
1.7%
2 299
37.0%
3 2
 
0.2%
4 39
 
4.8%
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 39
4.8%
Distinct2
Distinct (%)0.2%
Missing3
Missing (%)0.4%
Memory size1.7 KiB
False
472 
True
334 
(Missing)
 
3
ValueCountFrequency (%)
False 472
58.3%
True 334
41.3%
(Missing) 3
 
0.4%
2024-04-22T06:35:23.490179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
0
415 
<NA>
390 
3
 
2
4
 
1
6
 
1

Length

Max length4
Median length1
Mean length2.4462299
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 415
51.3%
<NA> 390
48.2%
3 2
 
0.2%
4 1
 
0.1%
6 1
 
0.1%

Length

2024-04-22T06:35:23.678555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:35:23.917213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 415
51.3%
na 390
48.2%
3 2
 
0.2%
4 1
 
0.1%
6 1
 
0.1%

조건부허가신고사유
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing808
Missing (%)99.9%
Memory size6.4 KiB
2024-04-22T06:35:24.541319image/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%
2024-04-22T06:35:25.863817image/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 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB
Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
462 
자가
238 
임대
109 

Length

Max length4
Median length4
Mean length3.1421508
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 462
57.1%
자가 238
29.4%
임대 109
 
13.5%

Length

2024-04-22T06:35:26.286384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:35:26.636566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 462
57.1%
자가 238
29.4%
임대 109
 
13.5%

세탁기수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
463 
0
346 

Length

Max length4
Median length4
Mean length2.7169345
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 463
57.2%
0 346
42.8%

Length

2024-04-22T06:35:27.015202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:35:27.344166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 463
57.2%
0 346
42.8%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)13.0%
Missing763
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean0.91304348
Minimum0
Maximum7
Zeros29
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-22T06:35:27.640127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5176896
Coefficient of variation (CV)1.6622314
Kurtosis5.2012299
Mean0.91304348
Median Absolute Deviation (MAD)0
Skewness2.1071666
Sum42
Variance2.3033816
MonotonicityNot monotonic
2024-04-22T06:35:27.989581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 29
 
3.6%
2 7
 
0.9%
3 4
 
0.5%
1 4
 
0.5%
7 1
 
0.1%
5 1
 
0.1%
(Missing) 763
94.3%
ValueCountFrequency (%)
0 29
3.6%
1 4
 
0.5%
2 7
 
0.9%
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 7
 
0.9%
1 4
 
0.5%
0 29
3.6%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)12.5%
Missing761
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean0.97916667
Minimum0
Maximum7
Zeros29
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-04-22T06:35:28.333545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4.3
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5910599
Coefficient of variation (CV)1.6249122
Kurtosis4.1047462
Mean0.97916667
Median Absolute Deviation (MAD)0
Skewness1.9868033
Sum47
Variance2.5314716
MonotonicityNot monotonic
2024-04-22T06:35:28.687083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 29
 
3.6%
2 6
 
0.7%
1 6
 
0.7%
3 4
 
0.5%
5 2
 
0.2%
7 1
 
0.1%
(Missing) 761
94.1%
ValueCountFrequency (%)
0 29
3.6%
1 6
 
0.7%
2 6
 
0.7%
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 6
 
0.7%
1 6
 
0.7%
0 29
3.6%

회수건조수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
484 
0
325 

Length

Max length4
Median length4
Mean length2.7948084
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 484
59.8%
0 325
40.2%

Length

2024-04-22T06:35:29.108704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:35:29.442538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 484
59.8%
0 325
40.2%

침대수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
<NA>
488 
0
321 

Length

Max length4
Median length4
Mean length2.8096415
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 488
60.3%
0 321
39.7%

Length

2024-04-22T06:35:29.811213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T06:35:30.144182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 488
60.3%
0 321
39.7%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size937.0 B
False
790 
True
 
19
ValueCountFrequency (%)
False 790
97.7%
True 19
 
2.3%
2024-04-22T06:35:30.442132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부의자수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
01목욕장업11_44_01_P34100003410000-202-2008-0000120080225<NA>1영업/정상1영업<NA><NA><NA><NA>053 42766652,025.33700440대구광역시 중구 남산동 0665번지대구광역시 중구 중앙대로67길 10 (남산동)41967그린빌사우나20161216150355I2018-08-31 23:59:59.0공동탕업+찜질시설서비스영업343763.427392263768.952128공동탕업+찜질시설서비스영업31400220010Y0<NA><NA><NA>자가0<NA><NA>00N
12목욕장업11_44_01_P34100003410000-202-2005-0000320050826<NA>1영업/정상1영업<NA><NA><NA><NA>053 4278811425.47700847대구광역시 중구 동인동4가 0523-0004번지대구광역시 중구 국채보상로150길 37 (동인동4가)41947명성사우나20170705165504I2018-08-31 23:59:59.0공동탕업345456.377201264154.022526공동탕업000000000N0<NA><NA><NA><NA>0<NA><NA>00N
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