Overview

Dataset statistics

Number of variables44
Number of observations831
Missing cells9437
Missing cells (%)25.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory304.5 KiB
Average record size in memory375.2 B

Variable types

Numeric13
Categorical12
Text7
DateTime4
Unsupported6
Boolean2

Dataset

Description23년12월_6270000_대구광역시_11_44_01_P_목욕장업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000104210&dataSetDetailId=DDI_0000104203&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
조건부허가신고사유 has constant value ""Constant
업태구분명 is highly imbalanced (71.0%)Imbalance
위생업태명 is highly imbalanced (71.0%)Imbalance
다중이용업소여부 is highly imbalanced (81.1%)Imbalance
인허가취소일자 has 831 (100.0%) missing valuesMissing
폐업일자 has 249 (30.0%) missing valuesMissing
휴업시작일자 has 831 (100.0%) missing valuesMissing
휴업종료일자 has 831 (100.0%) missing valuesMissing
재개업일자 has 831 (100.0%) missing valuesMissing
소재지전화 has 34 (4.1%) missing valuesMissing
소재지우편번호 has 14 (1.7%) missing valuesMissing
도로명전체주소 has 334 (40.2%) missing valuesMissing
도로명우편번호 has 345 (41.5%) missing valuesMissing
좌표정보(X) has 57 (6.9%) missing valuesMissing
좌표정보(Y) has 57 (6.9%) missing valuesMissing
건물지상층수 has 172 (20.7%) missing valuesMissing
건물지하층수 has 232 (27.9%) missing valuesMissing
사용시작지상층 has 217 (26.1%) missing valuesMissing
사용끝지상층 has 277 (33.3%) missing valuesMissing
욕실수 has 236 (28.4%) missing valuesMissing
조건부허가신고사유 has 830 (99.9%) missing valuesMissing
조건부허가시작일자 has 831 (100.0%) missing valuesMissing
조건부허가종료일자 has 831 (100.0%) missing valuesMissing
여성종사자수 has 697 (83.9%) missing valuesMissing
남성종사자수 has 695 (83.6%) 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
소재지면적 has 17 (2.0%) zerosZeros
건물지상층수 has 138 (16.6%) zerosZeros
건물지하층수 has 189 (22.7%) zerosZeros
사용시작지상층 has 160 (19.3%) zerosZeros
사용끝지상층 has 100 (12.0%) zerosZeros
욕실수 has 193 (23.2%) zerosZeros
여성종사자수 has 114 (13.7%) zerosZeros
남성종사자수 has 115 (13.8%) zerosZeros

Reproduction

Analysis started2024-03-13 14:10:30.885860
Analysis finished2024-03-13 14:10:31.797382
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct831
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean416
Minimum1
Maximum831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-03-13T23:10:31.875234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile42.5
Q1208.5
median416
Q3623.5
95-th percentile789.5
Maximum831
Range830
Interquartile range (IQR)415

Descriptive statistics

Standard deviation240.03333
Coefficient of variation (CV)0.5770032
Kurtosis-1.2
Mean416
Median Absolute Deviation (MAD)208
Skewness0
Sum345696
Variance57616
MonotonicityStrictly increasing
2024-03-13T23:10:32.007174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
2 1
 
0.1%
549 1
 
0.1%
550 1
 
0.1%
551 1
 
0.1%
552 1
 
0.1%
553 1
 
0.1%
554 1
 
0.1%
555 1
 
0.1%
556 1
 
0.1%
Other values (821) 821
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 (%)
831 1
0.1%
830 1
0.1%
829 1
0.1%
828 1
0.1%
827 1
0.1%
826 1
0.1%
825 1
0.1%
824 1
0.1%
823 1
0.1%
822 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
목욕장업
831 

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 831
100.0%

Length

2024-03-13T23:10:32.119424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:10:32.209218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목욕장업 831
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
11_44_01_P
831 

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 831
100.0%

Length

2024-03-13T23:10:32.302783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:10:32.397408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_44_01_p 831
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3463259.9
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-03-13T23:10:32.494184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33460000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation176904.5
Coefficient of variation (CV)0.051080342
Kurtosis85.348846
Mean3463259.9
Median Absolute Deviation (MAD)20000
Skewness9.2661806
Sum2.877969 × 109
Variance3.1295202 × 1010
MonotonicityIncreasing
2024-03-13T23:10:32.602456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 143
17.2%
3420000 136
16.4%
3450000 131
15.8%
3460000 131
15.8%
3430000 91
11.0%
3440000 80
9.6%
3410000 71
8.5%
3480000 39
 
4.7%
5141000 9
 
1.1%
ValueCountFrequency (%)
3410000 71
8.5%
3420000 136
16.4%
3430000 91
11.0%
3440000 80
9.6%
3450000 131
15.8%
3460000 131
15.8%
3470000 143
17.2%
3480000 39
 
4.7%
5141000 9
 
1.1%
ValueCountFrequency (%)
5141000 9
 
1.1%
3480000 39
 
4.7%
3470000 143
17.2%
3460000 131
15.8%
3450000 131
15.8%
3440000 80
9.6%
3430000 91
11.0%
3420000 136
16.4%
3410000 71
8.5%

관리번호
Text

UNIQUE 

Distinct831
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2024-03-13T23:10:32.791544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters18282
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

Unique831 ?
Unique (%)100.0%

Sample

1st row3410000-202-1983-00002
2nd row3410000-202-1970-00004
3rd row3410000-202-1970-00005
4th row3410000-202-1974-00003
5th row3410000-202-2003-00003
ValueCountFrequency (%)
3410000-202-1983-00002 1
 
0.1%
3460000-202-2000-00008 1
 
0.1%
3460000-202-1997-00016 1
 
0.1%
3460000-202-1997-00043 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 (821) 821
98.8%
2024-03-13T23:10:33.086912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8116
44.4%
2 2494
 
13.6%
- 2493
 
13.6%
3 1200
 
6.6%
4 1085
 
5.9%
1 970
 
5.3%
9 773
 
4.2%
7 405
 
2.2%
5 270
 
1.5%
6 258
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15789
86.4%
Dash Punctuation 2493
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8116
51.4%
2 2494
 
15.8%
3 1200
 
7.6%
4 1085
 
6.9%
1 970
 
6.1%
9 773
 
4.9%
7 405
 
2.6%
5 270
 
1.7%
6 258
 
1.6%
8 218
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 2493
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18282
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8116
44.4%
2 2494
 
13.6%
- 2493
 
13.6%
3 1200
 
6.6%
4 1085
 
5.9%
1 970
 
5.3%
9 773
 
4.2%
7 405
 
2.2%
5 270
 
1.5%
6 258
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18282
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8116
44.4%
2 2494
 
13.6%
- 2493
 
13.6%
3 1200
 
6.6%
4 1085
 
5.9%
1 970
 
5.3%
9 773
 
4.2%
7 405
 
2.2%
5 270
 
1.5%
6 258
 
1.4%

인허가일자
Date

Distinct673
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
Minimum1960-11-25 00:00:00
Maximum2023-06-13 00:00:00
2024-03-13T23:10:33.224632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:10:33.357893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing831
Missing (%)100.0%
Memory size7.4 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
3
583 
1
248 

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 (%)
3 583
70.2%
1 248
29.8%

Length

2024-03-13T23:10:33.510957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:10:33.657287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 583
70.2%
1 248
29.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
폐업
583 
영업/정상
248 

Length

Max length5
Median length2
Mean length2.8953069
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 583
70.2%
영업/정상 248
29.8%

Length

2024-03-13T23:10:33.763328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:10:33.858744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 583
70.2%
영업/정상 248
29.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2
583 
1
248 

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 (%)
2 583
70.2%
1 248
29.8%

Length

2024-03-13T23:10:33.971256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:10:34.057723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 583
70.2%
1 248
29.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
폐업
583 
영업
248 

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 583
70.2%
영업 248
29.8%

Length

2024-03-13T23:10:34.151147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:10:34.245123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 583
70.2%
영업 248
29.8%

폐업일자
Date

MISSING 

Distinct522
Distinct (%)89.7%
Missing249
Missing (%)30.0%
Memory size6.6 KiB
Minimum2001-03-21 00:00:00
Maximum2023-12-12 00:00:00
2024-03-13T23:10:34.350685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:10:34.481135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing831
Missing (%)100.0%
Memory size7.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing831
Missing (%)100.0%
Memory size7.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing831
Missing (%)100.0%
Memory size7.4 KiB

소재지전화
Text

MISSING 

Distinct769
Distinct (%)96.5%
Missing34
Missing (%)4.1%
Memory size6.6 KiB
2024-03-13T23:10:34.818962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.751568
Min length7

Characters and Unicode

Total characters8569
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

Unique741 ?
Unique (%)93.0%

Sample

1st row053 4225055
2nd row053 4254720
3rd row053 4247143
4th row053 4218241
5th row053 6641155
ValueCountFrequency (%)
053 648
39.8%
767 8
 
0.5%
054 7
 
0.4%
781 6
 
0.4%
743 6
 
0.4%
753 6
 
0.4%
752 5
 
0.3%
765 5
 
0.3%
323 4
 
0.2%
763 4
 
0.2%
Other values (851) 929
57.1%
2024-03-13T23:10:35.299866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1517
17.7%
0 1299
15.2%
3 1275
14.9%
838
9.8%
2 616
7.2%
6 605
 
7.1%
7 546
 
6.4%
1 495
 
5.8%
4 478
 
5.6%
8 462
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7731
90.2%
Space Separator 838
 
9.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1517
19.6%
0 1299
16.8%
3 1275
16.5%
2 616
8.0%
6 605
 
7.8%
7 546
 
7.1%
1 495
 
6.4%
4 478
 
6.2%
8 462
 
6.0%
9 438
 
5.7%
Space Separator
ValueCountFrequency (%)
838
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8569
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1517
17.7%
0 1299
15.2%
3 1275
14.9%
838
9.8%
2 616
7.2%
6 605
 
7.1%
7 546
 
6.4%
1 495
 
5.8%
4 478
 
5.6%
8 462
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8569
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1517
17.7%
0 1299
15.2%
3 1275
14.9%
838
9.8%
2 616
7.2%
6 605
 
7.1%
7 546
 
6.4%
1 495
 
5.8%
4 478
 
5.6%
8 462
 
5.4%

소재지면적
Real number (ℝ)

ZEROS 

Distinct770
Distinct (%)92.8%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean701.48159
Minimum0
Maximum5151.77
Zeros17
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-03-13T23:10:35.475035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile141.316
Q1346.2575
median516
Q3792.4275
95-th percentile2026.3035
Maximum5151.77
Range5151.77
Interquartile range (IQR)446.17

Descriptive statistics

Standard deviation642.1591
Coefficient of variation (CV)0.91543257
Kurtosis10.317653
Mean701.48159
Median Absolute Deviation (MAD)214.615
Skewness2.7483224
Sum582229.72
Variance412368.31
MonotonicityNot monotonic
2024-03-13T23:10:35.629467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 17
 
2.0%
660.0 5
 
0.6%
450.0 3
 
0.4%
492.0 3
 
0.4%
165.0 3
 
0.4%
488.66 2
 
0.2%
226.0 2
 
0.2%
762.74 2
 
0.2%
422.0 2
 
0.2%
396.0 2
 
0.2%
Other values (760) 789
94.9%
ValueCountFrequency (%)
0.0 17
2.0%
22.4 1
 
0.1%
56.17 1
 
0.1%
58.9 1
 
0.1%
62.88 1
 
0.1%
68.23 1
 
0.1%
74.0 1
 
0.1%
77.72 1
 
0.1%
92.07 1
 
0.1%
96.24 1
 
0.1%
ValueCountFrequency (%)
5151.77 1
0.1%
5121.94 1
0.1%
3951.9 1
0.1%
3923.3 1
0.1%
3836.2 1
0.1%
3751.7 1
0.1%
3721.0 1
0.1%
3516.86 1
0.1%
3486.07 1
0.1%
3372.1 1
0.1%

소재지우편번호
Text

MISSING 

Distinct382
Distinct (%)46.8%
Missing14
Missing (%)1.7%
Memory size6.6 KiB
2024-03-13T23:10:36.013023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters5719
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

Unique166 ?
Unique (%)20.3%

Sample

1st row700-843
2nd row700-180
3rd row700-413
4th row700-845
5th row700-261
ValueCountFrequency (%)
704-060 10
 
1.2%
702-040 9
 
1.1%
704-080 9
 
1.1%
703-812 7
 
0.9%
704-837 7
 
0.9%
706-170 7
 
0.9%
703-846 6
 
0.7%
701-846 6
 
0.7%
706-833 6
 
0.7%
705-828 6
 
0.7%
Other values (372) 744
91.1%
2024-03-13T23:10:36.457034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1205
21.1%
7 900
15.7%
- 817
14.3%
8 725
12.7%
1 461
 
8.1%
2 390
 
6.8%
4 343
 
6.0%
3 317
 
5.5%
6 240
 
4.2%
5 202
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4902
85.7%
Dash Punctuation 817
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1205
24.6%
7 900
18.4%
8 725
14.8%
1 461
 
9.4%
2 390
 
8.0%
4 343
 
7.0%
3 317
 
6.5%
6 240
 
4.9%
5 202
 
4.1%
9 119
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 817
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5719
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1205
21.1%
7 900
15.7%
- 817
14.3%
8 725
12.7%
1 461
 
8.1%
2 390
 
6.8%
4 343
 
6.0%
3 317
 
5.5%
6 240
 
4.2%
5 202
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5719
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1205
21.1%
7 900
15.7%
- 817
14.3%
8 725
12.7%
1 461
 
8.1%
2 390
 
6.8%
4 343
 
6.0%
3 317
 
5.5%
6 240
 
4.2%
5 202
 
3.5%

소재지전체주소
Text

Distinct770
Distinct (%)92.8%
Missing1
Missing (%)0.1%
Memory size6.6 KiB
2024-03-13T23:10:36.774155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length22.607229
Min length16

Characters and Unicode

Total characters18764
Distinct characters205
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

Unique714 ?
Unique (%)86.0%

Sample

1st row대구광역시 중구 동인동2가 0227-0008번지
2nd row대구광역시 중구 동문동 18-4번지
3rd row대구광역시 중구 삼덕동3가 342-2번지
4th row대구광역시 중구 동인동3가 271번지
5th row대구광역시 중구 서성로1가 0109-0001
ValueCountFrequency (%)
대구광역시 830
23.5%
달서구 143
 
4.0%
동구 136
 
3.8%
북구 131
 
3.7%
수성구 131
 
3.7%
서구 91
 
2.6%
남구 80
 
2.3%
중구 71
 
2.0%
대명동 51
 
1.4%
달성군 39
 
1.1%
Other values (1032) 1835
51.9%
2024-03-13T23:10:37.455760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3537
18.8%
구 1623
 
8.6%
동 944
 
5.0%
대 915
 
4.9%
1 905
 
4.8%
시 839
 
4.5%
광 832
 
4.4%
역 832
 
4.4%
- 707
 
3.8%
지 689
 
3.7%
Other values (195) 6941
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10400
55.4%
Decimal Number 4018
 
21.4%
Space Separator 3537
 
18.8%
Dash Punctuation 707
 
3.8%
Other Punctuation 56
 
0.3%
Close Punctuation 19
 
0.1%
Open Punctuation 19
 
0.1%
Uppercase Letter 7
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1623
15.6%
동 944
 
9.1%
대 915
 
8.8%
시 839
 
8.1%
광 832
 
8.0%
역 832
 
8.0%
지 689
 
6.6%
번 608
 
5.8%
서 247
 
2.4%
성 237
 
2.3%
Other values (174) 2634
25.3%
Decimal Number
ValueCountFrequency (%)
1 905
22.5%
2 552
13.7%
0 447
11.1%
3 389
9.7%
4 358
 
8.9%
5 331
 
8.2%
6 296
 
7.4%
7 273
 
6.8%
8 241
 
6.0%
9 226
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 54
96.4%
@ 1
 
1.8%
. 1
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
B 3
42.9%
A 3
42.9%
L 1
 
14.3%
Space Separator
ValueCountFrequency (%)
3537
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 707
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 10400
55.4%
Common 8357
44.5%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1623
15.6%
동 944
 
9.1%
대 915
 
8.8%
시 839
 
8.1%
광 832
 
8.0%
역 832
 
8.0%
지 689
 
6.6%
번 608
 
5.8%
서 247
 
2.4%
성 237
 
2.3%
Other values (174) 2634
25.3%
Common
ValueCountFrequency (%)
3537
42.3%
1 905
 
10.8%
- 707
 
8.5%
2 552
 
6.6%
0 447
 
5.3%
3 389
 
4.7%
4 358
 
4.3%
5 331
 
4.0%
6 296
 
3.5%
7 273
 
3.3%
Other values (8) 562
 
6.7%
Latin
ValueCountFrequency (%)
B 3
42.9%
A 3
42.9%
L 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10400
55.4%
ASCII 8364
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3537
42.3%
1 905
 
10.8%
- 707
 
8.5%
2 552
 
6.6%
0 447
 
5.3%
3 389
 
4.7%
4 358
 
4.3%
5 331
 
4.0%
6 296
 
3.5%
7 273
 
3.3%
Other values (11) 569
 
6.8%
Hangul
ValueCountFrequency (%)
구 1623
15.6%
동 944
 
9.1%
대 915
 
8.8%
시 839
 
8.1%
광 832
 
8.0%
역 832
 
8.0%
지 689
 
6.6%
번 608
 
5.8%
서 247
 
2.4%
성 237
 
2.3%
Other values (174) 2634
25.3%

도로명전체주소
Text

MISSING 

Distinct491
Distinct (%)98.8%
Missing334
Missing (%)40.2%
Memory size6.6 KiB
2024-03-13T23:10:37.961050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length50
Mean length25.953722
Min length20

Characters and Unicode

Total characters12899
Distinct characters239
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

Unique485 ?
Unique (%)97.6%

Sample

1st row대구광역시 중구 국채보상로140길 16 (동인동2가)
2nd row대구광역시 중구 경상감영길 1 (서성로1가)
3rd row대구광역시 중구 국채보상로 611, 23층 (문화동)
4th row대구광역시 중구 국채보상로 611, 7층 (문화동)
5th row대구광역시 중구 동덕로 115, 진석타워 지하1층 (삼덕동2가)
ValueCountFrequency (%)
대구광역시 497
 
18.7%
달서구 85
 
3.2%
동구 83
 
3.1%
수성구 77
 
2.9%
북구 72
 
2.7%
서구 55
 
2.1%
남구 50
 
1.9%
중구 37
 
1.4%
대명동 34
 
1.3%
달성군 33
 
1.2%
Other values (876) 1633
61.5%
2024-03-13T23:10:38.698205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2159
 
16.7%
구 1018
 
7.9%
대 642
 
5.0%
동 633
 
4.9%
시 506
 
3.9%
역 502
 
3.9%
광 499
 
3.9%
로 468
 
3.6%
( 468
 
3.6%
) 468
 
3.6%
Other values (229) 5536
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7577
58.7%
Space Separator 2159
 
16.7%
Decimal Number 1950
 
15.1%
Open Punctuation 468
 
3.6%
Close Punctuation 468
 
3.6%
Other Punctuation 167
 
1.3%
Dash Punctuation 81
 
0.6%
Math Symbol 15
 
0.1%
Uppercase Letter 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1018
 
13.4%
대 642
 
8.5%
동 633
 
8.4%
시 506
 
6.7%
역 502
 
6.6%
광 499
 
6.6%
로 468
 
6.2%
길 246
 
3.2%
서 179
 
2.4%
성 174
 
2.3%
Other values (207) 2710
35.8%
Decimal Number
ValueCountFrequency (%)
1 399
20.5%
2 324
16.6%
3 235
12.1%
5 171
8.8%
0 171
8.8%
4 161
8.3%
6 152
 
7.8%
7 130
 
6.7%
8 104
 
5.3%
9 103
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
A 7
50.0%
B 5
35.7%
L 1
 
7.1%
C 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 165
98.8%
· 1
 
0.6%
. 1
 
0.6%
Space Separator
ValueCountFrequency (%)
2159
100.0%
Open Punctuation
ValueCountFrequency (%)
( 468
100.0%
Close Punctuation
ValueCountFrequency (%)
) 468
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7577
58.7%
Common 5308
41.2%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1018
 
13.4%
대 642
 
8.5%
동 633
 
8.4%
시 506
 
6.7%
역 502
 
6.6%
광 499
 
6.6%
로 468
 
6.2%
길 246
 
3.2%
서 179
 
2.4%
성 174
 
2.3%
Other values (207) 2710
35.8%
Common
ValueCountFrequency (%)
2159
40.7%
( 468
 
8.8%
) 468
 
8.8%
1 399
 
7.5%
2 324
 
6.1%
3 235
 
4.4%
5 171
 
3.2%
0 171
 
3.2%
, 165
 
3.1%
4 161
 
3.0%
Other values (8) 587
 
11.1%
Latin
ValueCountFrequency (%)
A 7
50.0%
B 5
35.7%
L 1
 
7.1%
C 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7577
58.7%
ASCII 5321
41.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2159
40.6%
( 468
 
8.8%
) 468
 
8.8%
1 399
 
7.5%
2 324
 
6.1%
3 235
 
4.4%
5 171
 
3.2%
0 171
 
3.2%
, 165
 
3.1%
4 161
 
3.0%
Other values (11) 600
 
11.3%
Hangul
ValueCountFrequency (%)
구 1018
 
13.4%
대 642
 
8.5%
동 633
 
8.4%
시 506
 
6.7%
역 502
 
6.6%
광 499
 
6.6%
로 468
 
6.2%
길 246
 
3.2%
서 179
 
2.4%
성 174
 
2.3%
Other values (207) 2710
35.8%
None
ValueCountFrequency (%)
· 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct395
Distinct (%)81.3%
Missing345
Missing (%)41.5%
Infinite0
Infinite (%)0.0%
Mean42023.504
Minimum41000
Maximum43164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-03-13T23:10:38.882399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41112
Q141535.25
median41990
Q342505
95-th percentile42954.75
Maximum43164
Range2164
Interquartile range (IQR)969.75

Descriptive statistics

Standard deviation593.03374
Coefficient of variation (CV)0.014111954
Kurtosis-1.1386547
Mean42023.504
Median Absolute Deviation (MAD)482.5
Skewness-0.01700977
Sum20423423
Variance351689.01
MonotonicityNot monotonic
2024-03-13T23:10:39.040531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42413 3
 
0.4%
41557 3
 
0.4%
41008 3
 
0.4%
42117 3
 
0.4%
41463 3
 
0.4%
41122 3
 
0.4%
42288 3
 
0.4%
41436 3
 
0.4%
42612 3
 
0.4%
42770 3
 
0.4%
Other values (385) 456
54.9%
(Missing) 345
41.5%
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 (%)
43164 1
0.1%
43149 1
0.1%
43133 1
0.1%
43115 2
0.2%
43024 1
0.1%
43013 1
0.1%
43003 1
0.1%
43000 1
0.1%
42996 1
0.1%
42994 1
0.1%

사업장명
Text

Distinct727
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2024-03-13T23:10:39.334183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length5.166065
Min length2

Characters and Unicode

Total characters4293
Distinct characters310
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

Unique654 ?
Unique (%)78.7%

Sample

1st row라이온수
2nd row대구
3rd row청하탕
4th row영흥탕
5th row삼정 헬스사우나
ValueCountFrequency (%)
사우나 8
 
0.9%
한일목욕탕 5
 
0.6%
그린목욕탕 5
 
0.6%
동영목욕탕 4
 
0.5%
청수목욕탕 4
 
0.5%
대동탕 4
 
0.5%
대청사우나 4
 
0.5%
대림목욕탕 4
 
0.5%
호수탕 4
 
0.5%
장수목욕탕 3
 
0.3%
Other values (742) 825
94.8%
2024-03-13T23:10:39.796087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
탕 498
 
11.6%
목 281
 
6.5%
욕 281
 
6.5%
우 159
 
3.7%
사 155
 
3.6%
나 155
 
3.6%
스 109
 
2.5%
대 88
 
2.0%
천 76
 
1.8%
동 75
 
1.7%
Other values (300) 2416
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4178
97.3%
Space Separator 41
 
1.0%
Open Punctuation 23
 
0.5%
Close Punctuation 23
 
0.5%
Decimal Number 15
 
0.3%
Uppercase Letter 8
 
0.2%
Other Punctuation 4
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 498
 
11.9%
목 281
 
6.7%
욕 281
 
6.7%
우 159
 
3.8%
사 155
 
3.7%
나 155
 
3.7%
스 109
 
2.6%
대 88
 
2.1%
천 76
 
1.8%
동 75
 
1.8%
Other values (282) 2301
55.1%
Uppercase Letter
ValueCountFrequency (%)
T 2
25.0%
G 2
25.0%
P 1
12.5%
S 1
12.5%
O 1
12.5%
M 1
12.5%
Decimal Number
ValueCountFrequency (%)
2 4
26.7%
3 4
26.7%
5 3
20.0%
0 3
20.0%
1 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
＆ 1
25.0%
/ 1
25.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4178
97.3%
Common 106
 
2.5%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 498
 
11.9%
목 281
 
6.7%
욕 281
 
6.7%
우 159
 
3.8%
사 155
 
3.7%
나 155
 
3.7%
스 109
 
2.6%
대 88
 
2.1%
천 76
 
1.8%
동 75
 
1.8%
Other values (282) 2301
55.1%
Common
ValueCountFrequency (%)
41
38.7%
( 23
21.7%
) 23
21.7%
2 4
 
3.8%
3 4
 
3.8%
5 3
 
2.8%
0 3
 
2.8%
, 2
 
1.9%
1 1
 
0.9%
＆ 1
 
0.9%
Latin
ValueCountFrequency (%)
T 2
22.2%
G 2
22.2%
P 1
11.1%
S 1
11.1%
O 1
11.1%
e 1
11.1%
M 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4178
97.3%
ASCII 114
 
2.7%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
탕 498
 
11.9%
목 281
 
6.7%
욕 281
 
6.7%
우 159
 
3.8%
사 155
 
3.7%
나 155
 
3.7%
스 109
 
2.6%
대 88
 
2.1%
천 76
 
1.8%
동 75
 
1.8%
Other values (282) 2301
55.1%
ASCII
ValueCountFrequency (%)
41
36.0%
( 23
20.2%
) 23
20.2%
2 4
 
3.5%
3 4
 
3.5%
5 3
 
2.6%
0 3
 
2.6%
, 2
 
1.8%
T 2
 
1.8%
G 2
 
1.8%
Other values (7) 7
 
6.1%
None
ValueCountFrequency (%)
＆ 1
100.0%

최종수정시점
Date

Distinct715
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
Minimum2002-02-01 00:00:00
Maximum2023-12-26 19:26:29
2024-03-13T23:10:39.940518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:10:40.091436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
I
531 
U
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 531
63.9%
U 300
36.1%

Length

2024-03-13T23:10:40.248701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:10:40.722960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 531
63.9%
u 300
36.1%

데이터갱신일자
Date

Distinct235
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-28 02:40:00
2024-03-13T23:10:40.848518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T23:10:41.007345image/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 size6.6 KiB
공동탕업
743 
공동탕업+찜질시설서비스영업
 
44
찜질시설서비스영업
 
19
한증막업
 
16
목욕장업 기타
 
9

Length

Max length14
Median length4
Mean length4.6762936
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공동탕업 743
89.4%
공동탕업+찜질시설서비스영업 44
 
5.3%
찜질시설서비스영업 19
 
2.3%
한증막업 16
 
1.9%
목욕장업 기타 9
 
1.1%

Length

2024-03-13T23:10:41.152634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:10:41.269744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동탕업 743
88.5%
공동탕업+찜질시설서비스영업 44
 
5.2%
찜질시설서비스영업 19
 
2.3%
한증막업 16
 
1.9%
목욕장업 9
 
1.1%
기타 9
 
1.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct668
Distinct (%)86.3%
Missing57
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean343363.07
Minimum327293.91
Maximum356189.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-03-13T23:10:41.389337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327293.91
5-th percentile335669.09
Q1340198.46
median343200.52
Q3346585.1
95-th percentile352694.84
Maximum356189.2
Range28895.287
Interquartile range (IQR)6386.6421

Descriptive statistics

Standard deviation4790.5021
Coefficient of variation (CV)0.01395171
Kurtosis0.63389307
Mean343363.07
Median Absolute Deviation (MAD)3208.2738
Skewness-0.052729728
Sum2.6576302 × 108
Variance22948910
MonotonicityNot monotonic
2024-03-13T23:10:41.519675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
337346.64886395 4
 
0.5%
338536.724925213 3
 
0.4%
353142.033073587 3
 
0.4%
340616.952958188 3
 
0.4%
355698.45998424 3
 
0.4%
340286.680163588 3
 
0.4%
343184.151780859 3
 
0.4%
339273.069927148 3
 
0.4%
342666.445914153 3
 
0.4%
338849.57742046 3
 
0.4%
Other values (658) 743
89.4%
(Missing) 57
 
6.9%
ValueCountFrequency (%)
327293.913425497 1
0.1%
327526.386975054 1
0.1%
328293.623590322 1
0.1%
328965.130661119 1
0.1%
330272.445578617 1
0.1%
330338.711440998 1
0.1%
330342.686681021 1
0.1%
330497.842813587 1
0.1%
330573.646469099 1
0.1%
330585.519075694 1
0.1%
ValueCountFrequency (%)
356189.200160677 1
 
0.1%
355698.45998424 3
0.4%
355655.045544481 1
 
0.1%
355590.766868742 1
 
0.1%
354976.751149176 1
 
0.1%
354755.033316725 1
 
0.1%
354722.988899409 1
 
0.1%
354683.486530543 1
 
0.1%
354615.507123654 1
 
0.1%
354510.580081721 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct668
Distinct (%)86.3%
Missing57
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean263873.27
Minimum238769.81
Maximum305373.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-03-13T23:10:41.666383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238769.81
5-th percentile257671.65
Q1261435.07
median263942.77
Q3265863.67
95-th percentile271249.25
Maximum305373.3
Range66603.489
Interquartile range (IQR)4428.6077

Descriptive statistics

Standard deviation5553.0654
Coefficient of variation (CV)0.021044441
Kurtosis15.598121
Mean263873.27
Median Absolute Deviation (MAD)2178.2845
Skewness1.7049937
Sum2.0423791 × 108
Variance30836535
MonotonicityNot monotonic
2024-03-13T23:10:41.826754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
258035.007517312 4
 
0.5%
260859.54866736 3
 
0.4%
261737.213765226 3
 
0.4%
266219.271085846 3
 
0.4%
275787.590179158 3
 
0.4%
271242.25696814 3
 
0.4%
264080.683792872 3
 
0.4%
269989.715359842 3
 
0.4%
263256.489079327 3
 
0.4%
257972.210093308 3
 
0.4%
Other values (658) 743
89.4%
(Missing) 57
 
6.9%
ValueCountFrequency (%)
238769.812521748 1
0.1%
240747.132592645 1
0.1%
242604.778959053 1
0.1%
244686.529495474 1
0.1%
244811.524282373 1
0.1%
244853.241727933 1
0.1%
244859.34472329 1
0.1%
245205.925240694 1
0.1%
248338.042553282 1
0.1%
248523.534087819 1
0.1%
ValueCountFrequency (%)
305373.301230317 1
0.1%
305098.474574988 1
0.1%
300781.280061063 1
0.1%
298299.9701225 1
0.1%
291868.813279223 1
0.1%
291865.856041138 1
0.1%
286608.42803308 1
0.1%
286600.693189029 1
0.1%
282568.170873832 1
0.1%
278091.653532319 1
0.1%

위생업태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
공동탕업
743 
공동탕업+찜질시설서비스영업
 
44
찜질시설서비스영업
 
19
한증막업
 
16
목욕장업 기타
 
9

Length

Max length14
Median length4
Mean length4.6762936
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공동탕업 743
89.4%
공동탕업+찜질시설서비스영업 44
 
5.3%
찜질시설서비스영업 19
 
2.3%
한증막업 16
 
1.9%
목욕장업 기타 9
 
1.1%

Length

2024-03-13T23:10:41.959340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:10:42.082829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동탕업 743
88.5%
공동탕업+찜질시설서비스영업 44
 
5.2%
찜질시설서비스영업 19
 
2.3%
한증막업 16
 
1.9%
목욕장업 9
 
1.1%
기타 9
 
1.1%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)3.3%
Missing172
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean3.6540212
Minimum0
Maximum42
Zeros138
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-03-13T23:10:42.236267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35
95-th percentile8.1
Maximum42
Range42
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.6767397
Coefficient of variation (CV)1.0062174
Kurtosis29.983384
Mean3.6540212
Median Absolute Deviation (MAD)2
Skewness4.0852231
Sum2408
Variance13.518415
MonotonicityNot monotonic
2024-03-13T23:10:42.362612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 138
16.6%
3 122
14.7%
4 122
14.7%
5 97
11.7%
2 67
 
8.1%
6 38
 
4.6%
7 20
 
2.4%
9 12
 
1.4%
1 12
 
1.4%
8 10
 
1.2%
Other values (12) 21
 
2.5%
(Missing) 172
20.7%
ValueCountFrequency (%)
0 138
16.6%
1 12
 
1.4%
2 67
8.1%
3 122
14.7%
4 122
14.7%
5 97
11.7%
6 38
 
4.6%
7 20
 
2.4%
8 10
 
1.2%
9 12
 
1.4%
ValueCountFrequency (%)
42 1
0.1%
31 1
0.1%
28 1
0.1%
27 1
0.1%
23 2
0.2%
20 1
0.1%
19 1
0.1%
18 1
0.1%
17 1
0.1%
15 1
0.1%

건물지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)1.2%
Missing232
Missing (%)27.9%
Infinite0
Infinite (%)0.0%
Mean0.87646077
Minimum0
Maximum9
Zeros189
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-03-13T23:10:42.479343image/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 deviation0.89858501
Coefficient of variation (CV)1.0252427
Kurtosis23.962651
Mean0.87646077
Median Absolute Deviation (MAD)0
Skewness3.3393859
Sum525
Variance0.80745501
MonotonicityNot monotonic
2024-03-13T23:10:42.646474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 334
40.2%
0 189
22.7%
2 59
 
7.1%
4 7
 
0.8%
3 7
 
0.8%
9 2
 
0.2%
6 1
 
0.1%
(Missing) 232
27.9%
ValueCountFrequency (%)
0 189
22.7%
1 334
40.2%
2 59
 
7.1%
3 7
 
0.8%
4 7
 
0.8%
6 1
 
0.1%
9 2
 
0.2%
ValueCountFrequency (%)
9 2
 
0.2%
6 1
 
0.1%
4 7
 
0.8%
3 7
 
0.8%
2 59
 
7.1%
1 334
40.2%
0 189
22.7%

사용시작지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)1.5%
Missing217
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean1.3729642
Minimum0
Maximum23
Zeros160
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-03-13T23:10:42.753021image/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 deviation1.5367129
Coefficient of variation (CV)1.1192666
Kurtosis64.693312
Mean1.3729642
Median Absolute Deviation (MAD)1
Skewness5.4009481
Sum843
Variance2.3614865
MonotonicityNot monotonic
2024-03-13T23:10:42.858473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 225
27.1%
0 160
19.3%
2 157
18.9%
3 37
 
4.5%
4 15
 
1.8%
5 9
 
1.1%
7 5
 
0.6%
6 5
 
0.6%
23 1
 
0.1%
(Missing) 217
26.1%
ValueCountFrequency (%)
0 160
19.3%
1 225
27.1%
2 157
18.9%
3 37
 
4.5%
4 15
 
1.8%
5 9
 
1.1%
6 5
 
0.6%
7 5
 
0.6%
23 1
 
0.1%
ValueCountFrequency (%)
23 1
 
0.1%
7 5
 
0.6%
6 5
 
0.6%
5 9
 
1.1%
4 15
 
1.8%
3 37
 
4.5%
2 157
18.9%
1 225
27.1%
0 160
19.3%

사용끝지상층
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)1.8%
Missing277
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean2.3357401
Minimum0
Maximum23
Zeros100
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-03-13T23:10:42.963978image/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 deviation1.8347422
Coefficient of variation (CV)0.78550789
Kurtosis28.790572
Mean2.3357401
Median Absolute Deviation (MAD)1
Skewness3.0095868
Sum1294
Variance3.3662791
MonotonicityNot monotonic
2024-03-13T23:10:43.065217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 197
23.7%
3 122
14.7%
0 100
 
12.0%
4 52
 
6.3%
1 36
 
4.3%
5 25
 
3.0%
6 11
 
1.3%
8 6
 
0.7%
7 4
 
0.5%
23 1
 
0.1%
(Missing) 277
33.3%
ValueCountFrequency (%)
0 100
12.0%
1 36
 
4.3%
2 197
23.7%
3 122
14.7%
4 52
 
6.3%
5 25
 
3.0%
6 11
 
1.3%
7 4
 
0.5%
8 6
 
0.7%
23 1
 
0.1%
ValueCountFrequency (%)
23 1
 
0.1%
8 6
 
0.7%
7 4
 
0.5%
6 11
 
1.3%
5 25
 
3.0%
4 52
 
6.3%
3 122
14.7%
2 197
23.7%
1 36
 
4.3%
0 100
12.0%

사용시작지하층
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
0
379 
<NA>
346 
1
97 
2
 
9

Length

Max length4
Median length1
Mean length2.2490975
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 379
45.6%
<NA> 346
41.6%
1 97
 
11.7%
2 9
 
1.1%

Length

2024-03-13T23:10:43.179366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:10:43.288419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 379
45.6%
na 346
41.6%
1 97
 
11.7%
2 9
 
1.1%

사용끝지하층
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
<NA>
405 
0
309 
1
107 
2
 
7
3
 
3

Length

Max length4
Median length1
Mean length2.4620939
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 405
48.7%
0 309
37.2%
1 107
 
12.9%
2 7
 
0.8%
3 3
 
0.4%

Length

2024-03-13T23:10:43.452558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:10:43.584682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 405
48.7%
0 309
37.2%
1 107
 
12.9%
2 7
 
0.8%
3 3
 
0.4%

욕실수
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)2.4%
Missing236
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean1.7563025
Minimum0
Maximum22
Zeros193
Zeros (%)23.2%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-03-13T23:10:43.700718image/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 deviation1.9058937
Coefficient of variation (CV)1.0851739
Kurtosis24.655232
Mean1.7563025
Median Absolute Deviation (MAD)0
Skewness3.3468862
Sum1045
Variance3.6324308
MonotonicityNot monotonic
2024-03-13T23:10:43.834947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 313
37.7%
0 193
23.2%
4 41
 
4.9%
1 14
 
1.7%
6 14
 
1.7%
5 6
 
0.7%
8 5
 
0.6%
10 2
 
0.2%
3 2
 
0.2%
22 1
 
0.1%
Other values (4) 4
 
0.5%
(Missing) 236
28.4%
ValueCountFrequency (%)
0 193
23.2%
1 14
 
1.7%
2 313
37.7%
3 2
 
0.2%
4 41
 
4.9%
5 6
 
0.7%
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 6
 
0.7%
4 41
4.9%

발한실여부
Boolean

Distinct2
Distinct (%)0.2%
Missing3
Missing (%)0.4%
Memory size1.8 KiB
False
481 
True
347 
(Missing)
 
3
ValueCountFrequency (%)
False 481
57.9%
True 347
41.8%
(Missing) 3
 
0.4%
2024-03-13T23:10:43.975473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

조건부허가신고사유
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing830
Missing (%)99.9%
Memory size6.6 KiB
2024-03-13T23:10:44.131224image/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%
2024-03-13T23:10:44.478045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4
 
9.1%
( 2
 
4.5%
행 2
 
4.5%
7 2
 
4.5%
. 2
 
4.5%
) 2
 
4.5%
지 2
 
4.5%
정 1
 
2.3%
처 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 (%)
행 2
 
7.4%
지 2
 
7.4%
정 1
 
3.7%
처 1
 
3.7%
재 1
 
3.7%
현 1
 
3.7%
월 1
 
3.7%
분 1
 
3.7%
진 1
 
3.7%
폐 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 (%)
행 2
 
7.4%
지 2
 
7.4%
정 1
 
3.7%
처 1
 
3.7%
재 1
 
3.7%
현 1
 
3.7%
월 1
 
3.7%
분 1
 
3.7%
진 1
 
3.7%
폐 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 (%)
행 2
 
7.4%
지 2
 
7.4%
정 1
 
3.7%
처 1
 
3.7%
재 1
 
3.7%
현 1
 
3.7%
월 1
 
3.7%
분 1
 
3.7%
진 1
 
3.7%
폐 1
 
3.7%
Other values (15) 15
55.6%

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing831
Missing (%)100.0%
Memory size7.4 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing831
Missing (%)100.0%
Memory size7.4 KiB

건물소유구분명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
<NA>
471 
자가
242 
임대
118 

Length

Max length4
Median length4
Mean length3.133574
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 471
56.7%
자가 242
29.1%
임대 118
 
14.2%

Length

2024-03-13T23:10:44.640455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:10:44.811026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 471
56.7%
자가 242
29.1%
임대 118
 
14.2%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)5.2%
Missing697
Missing (%)83.9%
Infinite0
Infinite (%)0.0%
Mean0.3880597
Minimum0
Maximum7
Zeros114
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-03-13T23:10:44.923615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.35
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1165902
Coefficient of variation (CV)2.877367
Kurtosis15.176126
Mean0.3880597
Median Absolute Deviation (MAD)0
Skewness3.6576692
Sum52
Variance1.2467737
MonotonicityNot monotonic
2024-03-13T23:10:45.045945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 114
 
13.7%
2 9
 
1.1%
3 4
 
0.5%
1 4
 
0.5%
6 1
 
0.1%
7 1
 
0.1%
5 1
 
0.1%
(Missing) 697
83.9%
ValueCountFrequency (%)
0 114
13.7%
1 4
 
0.5%
2 9
 
1.1%
3 4
 
0.5%
5 1
 
0.1%
6 1
 
0.1%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
6 1
 
0.1%
5 1
 
0.1%
3 4
 
0.5%
2 9
 
1.1%
1 4
 
0.5%
0 114
13.7%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)4.4%
Missing695
Missing (%)83.6%
Infinite0
Infinite (%)0.0%
Mean0.36764706
Minimum0
Maximum7
Zeros115
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2024-03-13T23:10:45.169603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.25
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0597611
Coefficient of variation (CV)2.8825503
Kurtosis15.97023
Mean0.36764706
Median Absolute Deviation (MAD)0
Skewness3.7268377
Sum50
Variance1.1230937
MonotonicityNot monotonic
2024-03-13T23:10:45.271355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 115
 
13.8%
2 7
 
0.8%
1 7
 
0.8%
3 4
 
0.5%
5 2
 
0.2%
7 1
 
0.1%
(Missing) 695
83.6%
ValueCountFrequency (%)
0 115
13.8%
1 7
 
0.8%
2 7
 
0.8%
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
 
0.8%
1 7
 
0.8%
0 115
13.8%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size963.0 B
False
807 
True
 
24
ValueCountFrequency (%)
False 807
97.1%
True 24
 
2.9%
2024-03-13T23:10:45.377595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층욕실수발한실여부조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명여성종사자수남성종사자수다중이용업소여부
01목욕장업11_44_01_P34100003410000-202-1983-000021983-09-20<NA>3폐업2폐업2015-07-03<NA><NA><NA>053 4225055637.6700-843대구광역시 중구 동인동2가 0227-0008번지대구광역시 중구 국채보상로140길 16 (동인동2가)41944라이온수2012-01-25 11:35:40I2018-08-31 23:59:59공동탕업344981.918922264289.975858공동탕업0000000N<NA><NA><NA><NA><NA><NA>N
12목욕장업11_44_01_P34100003410000-202-1970-000041970-09-14<NA>3폐업2폐업2009-01-19<NA><NA><NA>053 4254720750.85700-180대구광역시 중구 동문동 18-4번지<NA><NA>대구2007-08-29 13:20:58I2018-08-31 23:59:59공동탕업344180.237905264782.329768공동탕업41<NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA>N
23목욕장업11_44_01_P34100003410000-202-1970-000051970-10-08<NA>3폐업2폐업2006-06-08<NA><NA><NA><NA>309.6700-413대구광역시 중구 삼덕동3가 342-2번지<NA><NA>청하탕2004-02-14 00:00:00I2018-08-31 23:59:59공동탕업344958.139165263805.13112공동탕업<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA>N
34목욕장업11_44_01_P34100003410000-202-1974-000031974-12-30<NA>3폐업2폐업2009-01-19<NA><NA><NA>053 4247143390.0700-845대구광역시 중구 동인동3가 271번지<NA><NA>영흥탕2003-07-23 00:00:00I2018-08-31 23:59:59공동탕업<NA><NA>공동탕업<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA>N
45목욕장업11_44_01_P34100003410000-202-2003-000032003-03-13<NA>3폐업2폐업2020-10-06<NA><NA><NA>053 42182411030.1700-261대구광역시 중구 서성로1가 0109-0001대구광역시 중구 경상감영길 1 (서성로1가)41919삼정 헬스사우나2020-10-06 11:22:08U2020-10-08 02:40:00공동탕업343315.940921264622.218272공동탕업3112002Y<NA><NA><NA>자가<NA><NA>N
56목욕장업11_44_01_P34100003410000-202-2008-000022008-06-26<NA>3폐업2폐업2022-11-07<NA><NA><NA>053 6641155244.4700-160대구광역시 중구 문화동 0011-0001 (23층)대구광역시 중구 국채보상로 611, 23층 (문화동)41913노보텔 앰배서더 대구2022-11-11 10:13:20U2022-11-13 02:40:00공동탕업344223.636477264597.611089공동탕업2392323004Y<NA><NA><NA>임대00N
67목욕장업11_44_01_P34100003410000-202-2010-000012010-09-09<NA>3폐업2폐업2022-11-07<NA><NA><NA>053 664 11391400.89700-160대구광역시 중구 문화동 0011-0001 지상7층대구광역시 중구 국채보상로 611, 7층 (문화동)41913인발란스웰니스2022-11-11 10:16:43U2022-11-13 02:40:00공동탕업344223.636477264597.611089공동탕업23977002Y<NA><NA><NA>임대22N
78목욕장업11_44_01_P34100003410000-202-2019-000012019-02-15<NA>1영업/정상1영업<NA><NA><NA><NA>053 4297771690.64700-412대구광역시 중구 삼덕동2가 0210-0001번지 진석타워 지하1층대구광역시 중구 동덕로 115, 진석타워 지하1층 (삼덕동2가)41940센텀스파휘트니스2019-08-20 20:47:53U2019-08-22 02:40:00공동탕업344686.259338263958.880864공동탕업0000110N<NA><NA><NA><NA>00N
89목욕장업11_44_01_P34100003410000-202-1973-000021973-05-12<NA>1영업/정상1영업<NA><NA><NA><NA>053 4259304185.76700-843대구광역시 중구 동인동2가 0226-0004대구광역시 중구 국채보상로 688-19 (동인동2가)41944평양식한증2021-03-22 17:54:56U2021-03-24 02:40:00한증막업344954.418062264278.406287한증막업0000000N<NA><NA><NA><NA><NA><NA>N
910목욕장업11_44_01_P34100003410000-202-2009-000012009-08-27<NA>1영업/정상1영업<NA><NA><NA><NA>053 42870601100.0700-082대구광역시 중구 계산동2가 0100 지하1층 106호대구광역시 중구 달구벌대로 2051 (계산동2가, 지하1층 106호)41933미소 사우나2020-09-18 10:03:29U2020-09-20 02:40:00목욕장업 기타343402.156825264132.511006목욕장업 기타28200118Y<NA><NA><NA><NA>33N
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층욕실수발한실여부조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명여성종사자수남성종사자수다중이용업소여부
821822목욕장업11_44_01_P34800003480000-202-1996-000021996-10-23<NA>3폐업2폐업2008-11-06<NA><NA><NA>053 6320004790.95711-831대구광역시 달성군 화원읍 구라리 1734-17번지<NA><NA>도화목욕탕2003-08-16 00:00:00I2018-08-31 23:59:59공동탕업336425.150882257568.819678공동탕업5123112Y<NA><NA><NA>자가<NA><NA>N
822823목욕장업11_44_01_P51410005141000-202-2010-000012010-12-09<NA>1영업/정상1영업<NA><NA><NA><NA>054 382 14002259.0<NA>대구광역시 군위군 부계면 춘산리 33-2 백송온천관광호텔대구광역시 군위군 부계면 한티로 2244, 백송온천관광호텔43164백송온천관광호텔2021-03-18 09:29:06I2023-07-01 16:42:10공동탕업349501.484609286608.428033공동탕업0000005Y<NA><NA><NA>자가00Y
823824목욕장업11_44_01_P51410005141000-202-1989-000011989-04-08<NA>1영업/정상1영업<NA><NA><NA><NA>054 3832606250.54<NA>대구광역시 군위군 군위읍 서부리 423-2대구광역시 군위군 군위읍 중앙5길 1043115남양목욕탕2021-03-18 09:29:53I2023-07-01 16:42:10공동탕업340770.965116305373.30123공동탕업4012002Y<NA><NA><NA>자가00N
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