Overview

Dataset statistics

Number of variables37
Number of observations108
Missing cells671
Missing cells (%)16.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.9 KiB
Average record size in memory321.2 B

Variable types

Numeric14
Categorical14
Text5
Unsupported3
DateTime1

Dataset

Description22년11월_6270000_대구광역시_01_01_10_P_의료유사업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097152&dataSetDetailId=DDI_0000097167&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
욕실면적 is highly imbalanced (57.7%)Imbalance
인허가취소일자 has 108 (100.0%) missing valuesMissing
폐업일자 has 49 (45.4%) missing valuesMissing
휴업시작일자 has 95 (88.0%) missing valuesMissing
휴업종료일자 has 95 (88.0%) missing valuesMissing
재개업일자 has 108 (100.0%) missing valuesMissing
소재지전화 has 8 (7.4%) missing valuesMissing
소재지면적 has 108 (100.0%) missing valuesMissing
소재지우편번호 has 41 (38.0%) missing valuesMissing
소재지전체주소 has 5 (4.6%) missing valuesMissing
도로명우편번호 has 20 (18.5%) missing valuesMissing
직원수 has 7 (6.5%) missing valuesMissing
병상수 has 27 (25.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 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
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
직원수 has 6 (5.6%) zerosZeros
병상수 has 10 (9.3%) zerosZeros

Reproduction

Analysis started2024-04-18 05:49:50.042942
Analysis finished2024-04-18 05:49:50.497613
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.5
Minimum1
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T14:49:50.562535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.35
Q127.75
median54.5
Q381.25
95-th percentile102.65
Maximum108
Range107
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation31.32092
Coefficient of variation (CV)0.57469577
Kurtosis-1.2
Mean54.5
Median Absolute Deviation (MAD)27
Skewness0
Sum5886
Variance981
MonotonicityStrictly increasing
2024-04-18T14:49:50.689261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
70 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%
99 1
0.9%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
의료유사업
108 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의료유사업 108
100.0%

Length

2024-04-18T14:49:50.812140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:49:50.895259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료유사업 108
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
01_01_10_P
108 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_01_10_P
2nd row01_01_10_P
3rd row01_01_10_P
4th row01_01_10_P
5th row01_01_10_P

Common Values

ValueCountFrequency (%)
01_01_10_P 108
100.0%

Length

2024-04-18T14:49:51.002969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:49:51.087025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_10_p 108
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450463
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T14:49:51.154759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3413500
Q13430000
median3460000
Q33470000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20615.948
Coefficient of variation (CV)0.0059748353
Kurtosis-1.0317799
Mean3450463
Median Absolute Deviation (MAD)10000
Skewness-0.59137259
Sum3.7265 × 108
Variance4.2501731 × 108
MonotonicityIncreasing
2024-04-18T14:49:51.259239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 38
35.2%
3460000 16
14.8%
3420000 15
 
13.9%
3450000 14
 
13.0%
3440000 10
 
9.3%
3430000 7
 
6.5%
3410000 6
 
5.6%
3480000 2
 
1.9%
ValueCountFrequency (%)
3410000 6
 
5.6%
3420000 15
 
13.9%
3430000 7
 
6.5%
3440000 10
 
9.3%
3450000 14
 
13.0%
3460000 16
14.8%
3470000 38
35.2%
3480000 2
 
1.9%
ValueCountFrequency (%)
3480000 2
 
1.9%
3470000 38
35.2%
3460000 16
14.8%
3450000 14
 
13.0%
3440000 10
 
9.3%
3430000 7
 
6.5%
3420000 15
 
13.9%
3410000 6
 
5.6%

관리번호
Text

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
2024-04-18T14:49:51.462808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2700
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)100.0%

Sample

1st rowPHMB420043410023042400001
2nd rowPHMB420083410023042400001
3rd rowPHMB420213410023042400001
4th rowPHMB420163410023042400001
5th rowPHMB420093410023042400001
ValueCountFrequency (%)
phmb420043410023042400001 1
 
0.9%
phmb420123460023042400002 1
 
0.9%
phmb420073470022042400001 1
 
0.9%
phmb420053470022042400002 1
 
0.9%
phmb420043470022042400003 1
 
0.9%
phmb420043470022042400002 1
 
0.9%
phmb420063470022042400002 1
 
0.9%
phmb420063470022042400001 1
 
0.9%
phmb420053470022042400001 1
 
0.9%
phmb420033470022042400001 1
 
0.9%
Other values (98) 98
90.7%
2024-04-18T14:49:51.772523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 915
33.9%
4 465
17.2%
2 423
15.7%
3 171
 
6.3%
1 155
 
5.7%
P 108
 
4.0%
H 108
 
4.0%
M 108
 
4.0%
B 108
 
4.0%
7 49
 
1.8%
Other values (4) 90
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2268
84.0%
Uppercase Letter 432
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 915
40.3%
4 465
20.5%
2 423
18.7%
3 171
 
7.5%
1 155
 
6.8%
7 49
 
2.2%
5 29
 
1.3%
6 27
 
1.2%
9 23
 
1.0%
8 11
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 108
25.0%
H 108
25.0%
M 108
25.0%
B 108
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2268
84.0%
Latin 432
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 915
40.3%
4 465
20.5%
2 423
18.7%
3 171
 
7.5%
1 155
 
6.8%
7 49
 
2.2%
5 29
 
1.3%
6 27
 
1.2%
9 23
 
1.0%
8 11
 
0.5%
Latin
ValueCountFrequency (%)
P 108
25.0%
H 108
25.0%
M 108
25.0%
B 108
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 915
33.9%
4 465
17.2%
2 423
15.7%
3 171
 
6.3%
1 155
 
5.7%
P 108
 
4.0%
H 108
 
4.0%
M 108
 
4.0%
B 108
 
4.0%
7 49
 
1.8%
Other values (4) 90
 
3.3%

인허가일자
Real number (ℝ)

Distinct104
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20112651
Minimum19850119
Maximum20220520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T14:49:51.908603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19850119
5-th percentile20020448
Q120060873
median20120768
Q320160395
95-th percentile20200910
Maximum20220520
Range370401
Interquartile range (IQR)99522

Descriptive statistics

Standard deviation64830.195
Coefficient of variation (CV)0.003223354
Kurtosis1.2365566
Mean20112651
Median Absolute Deviation (MAD)49897.5
Skewness-0.73611371
Sum2.1721663 × 109
Variance4.2029542 × 109
MonotonicityNot monotonic
2024-04-18T14:49:52.039794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200910 2
 
1.9%
20151229 2
 
1.9%
20190614 2
 
1.9%
20060712 2
 
1.9%
20120209 1
 
0.9%
20040612 1
 
0.9%
20060629 1
 
0.9%
20060322 1
 
0.9%
20050604 1
 
0.9%
20030507 1
 
0.9%
Other values (94) 94
87.0%
ValueCountFrequency (%)
19850119 1
0.9%
19950605 1
0.9%
19990501 1
0.9%
20011101 1
0.9%
20020221 1
0.9%
20020312 1
0.9%
20020702 1
0.9%
20020912 1
0.9%
20030213 1
0.9%
20030507 1
0.9%
ValueCountFrequency (%)
20220520 1
0.9%
20220203 1
0.9%
20210312 1
0.9%
20201208 1
0.9%
20201008 1
0.9%
20200910 2
1.9%
20200622 1
0.9%
20200518 1
0.9%
20200417 1
0.9%
20191231 1
0.9%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing108
Missing (%)100.0%
Memory size1.1 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size996.0 B
3
58 
1
49 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row3
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 58
53.7%
1 49
45.4%
4 1
 
0.9%

Length

2024-04-18T14:49:52.163777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:49:52.256029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 58
53.7%
1 49
45.4%
4 1
 
0.9%

영업상태명
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size996.0 B
폐업
58 
영업/정상
49 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.4722222
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 58
53.7%
영업/정상 49
45.4%
취소/말소/만료/정지/중지 1
 
0.9%

Length

2024-04-18T14:49:52.373132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:49:52.479919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 58
53.7%
영업/정상 49
45.4%
취소/말소/만료/정지/중지 1
 
0.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size996.0 B
3
58 
13
49 
24
 
1

Length

Max length2
Median length1
Mean length1.462963
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row3
2nd row3
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
3 58
53.7%
13 49
45.4%
24 1
 
0.9%

Length

2024-04-18T14:49:53.565128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:49:53.653850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 58
53.7%
13 49
45.4%
24 1
 
0.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size996.0 B
폐업
58 
영업중
49 
직권폐업
 
1

Length

Max length4
Median length2
Mean length2.4722222
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 58
53.7%
영업중 49
45.4%
직권폐업 1
 
0.9%

Length

2024-04-18T14:49:53.760143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:49:53.864563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 58
53.7%
영업중 49
45.4%
직권폐업 1
 
0.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)98.3%
Missing49
Missing (%)45.4%
Infinite0
Infinite (%)0.0%
Mean20149188
Minimum20090122
Maximum20220829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T14:49:53.975339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090122
5-th percentile20090600
Q120111174
median20150122
Q320181211
95-th percentile20211504
Maximum20220829
Range130707
Interquartile range (IQR)70037

Descriptive statistics

Standard deviation41892.878
Coefficient of variation (CV)0.0020791348
Kurtosis-1.3173379
Mean20149188
Median Absolute Deviation (MAD)38899
Skewness0.034234564
Sum1.1888021 × 109
Variance1.7550133 × 109
MonotonicityNot monotonic
2024-04-18T14:49:54.113723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090706 2
 
1.9%
20140703 1
 
0.9%
20170110 1
 
0.9%
20150706 1
 
0.9%
20190114 1
 
0.9%
20120430 1
 
0.9%
20181205 1
 
0.9%
20130612 1
 
0.9%
20151023 1
 
0.9%
20151109 1
 
0.9%
Other values (48) 48
44.4%
(Missing) 49
45.4%
ValueCountFrequency (%)
20090122 1
0.9%
20090219 1
0.9%
20090525 1
0.9%
20090608 1
0.9%
20090616 1
0.9%
20090706 2
1.9%
20091126 1
0.9%
20091207 1
0.9%
20091222 1
0.9%
20101025 1
0.9%
ValueCountFrequency (%)
20220829 1
0.9%
20220429 1
0.9%
20220425 1
0.9%
20210513 1
0.9%
20210120 1
0.9%
20201023 1
0.9%
20200818 1
0.9%
20200601 1
0.9%
20200429 1
0.9%
20190611 1
0.9%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing95
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean20119242
Minimum20081212
Maximum20200811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T14:49:54.226927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081212
5-th percentile20086619
Q120090901
median20111005
Q320121010
95-th percentile20194456
Maximum20200811
Range119599
Interquartile range (IQR)30109

Descriptive statistics

Standard deviation38197.084
Coefficient of variation (CV)0.001898535
Kurtosis0.93182131
Mean20119242
Median Absolute Deviation (MAD)20104
Skewness1.3994185
Sum2.6155014 × 108
Variance1.4590173 × 109
MonotonicityNot monotonic
2024-04-18T14:49:54.334144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
20090223 1
 
0.9%
20121010 1
 
0.9%
20090901 1
 
0.9%
20190219 1
 
0.9%
20200811 1
 
0.9%
20100429 1
 
0.9%
20111130 1
 
0.9%
20081212 1
 
0.9%
20150922 1
 
0.9%
20111005 1
 
0.9%
Other values (3) 3
 
2.8%
(Missing) 95
88.0%
ValueCountFrequency (%)
20081212 1
0.9%
20090223 1
0.9%
20090828 1
0.9%
20090901 1
0.9%
20100325 1
0.9%
20100429 1
0.9%
20111005 1
0.9%
20111128 1
0.9%
20111130 1
0.9%
20121010 1
0.9%
ValueCountFrequency (%)
20200811 1
0.9%
20190219 1
0.9%
20150922 1
0.9%
20121010 1
0.9%
20111130 1
0.9%
20111128 1
0.9%
20111005 1
0.9%
20100429 1
0.9%
20100325 1
0.9%
20090901 1
0.9%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing95
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean20123783
Minimum20090610
Maximum20210210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T14:49:54.465887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090610
5-th percentile20090743
Q120100228
median20120105
Q320121230
95-th percentile20198575
Maximum20210210
Range119600
Interquartile range (IQR)21002

Descriptive statistics

Standard deviation38302.367
Coefficient of variation (CV)0.0019033383
Kurtosis1.2570242
Mean20123783
Median Absolute Deviation (MAD)19877
Skewness1.4424471
Sum2.6160918 × 108
Variance1.4670713 × 109
MonotonicityNot monotonic
2024-04-18T14:49:54.581895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
20090831 1
 
0.9%
20121230 1
 
0.9%
20100228 1
 
0.9%
20190818 1
 
0.9%
20210210 1
 
0.9%
20100920 1
 
0.9%
20120229 1
 
0.9%
20090610 1
 
0.9%
20151122 1
 
0.9%
20120105 1
 
0.9%
Other values (3) 3
 
2.8%
(Missing) 95
88.0%
ValueCountFrequency (%)
20090610 1
0.9%
20090831 1
0.9%
20091130 1
0.9%
20100228 1
0.9%
20100920 1
0.9%
20100921 1
0.9%
20120105 1
0.9%
20120229 1
0.9%
20120831 1
0.9%
20121230 1
0.9%
ValueCountFrequency (%)
20210210 1
0.9%
20190818 1
0.9%
20151122 1
0.9%
20121230 1
0.9%
20120831 1
0.9%
20120229 1
0.9%
20120105 1
0.9%
20100921 1
0.9%
20100920 1
0.9%
20100228 1
0.9%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing108
Missing (%)100.0%
Memory size1.1 KiB

소재지전화
Text

MISSING 

Distinct94
Distinct (%)94.0%
Missing8
Missing (%)7.4%
Memory size996.0 B
2024-04-18T14:49:54.846938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.63
Min length8

Characters and Unicode

Total characters1063
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)88.0%

Sample

1st row053-425-0041
2nd row053-818-0019
3rd row053-212-9933
4th row0534257695
5th row053-253-1889
ValueCountFrequency (%)
636-2080 2
 
2.0%
053-631-2020 2
 
2.0%
053-754-8885 2
 
2.0%
053-941-1906 2
 
2.0%
588-9943 2
 
2.0%
053-556-2224 2
 
2.0%
424-5577 1
 
1.0%
593-1422 1
 
1.0%
641-9020 1
 
1.0%
593-5547 1
 
1.0%
Other values (86) 86
84.3%
2024-04-18T14:49:55.253605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 173
16.3%
- 156
14.7%
0 131
12.3%
3 129
12.1%
2 90
8.5%
7 71
6.7%
6 70
6.6%
1 67
 
6.3%
4 66
 
6.2%
8 63
 
5.9%
Other values (2) 47
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 905
85.1%
Dash Punctuation 156
 
14.7%
Space Separator 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 173
19.1%
0 131
14.5%
3 129
14.3%
2 90
9.9%
7 71
7.8%
6 70
7.7%
1 67
 
7.4%
4 66
 
7.3%
8 63
 
7.0%
9 45
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1063
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 173
16.3%
- 156
14.7%
0 131
12.3%
3 129
12.1%
2 90
8.5%
7 71
6.7%
6 70
6.6%
1 67
 
6.3%
4 66
 
6.2%
8 63
 
5.9%
Other values (2) 47
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1063
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 173
16.3%
- 156
14.7%
0 131
12.3%
3 129
12.1%
2 90
8.5%
7 71
6.7%
6 70
6.6%
1 67
 
6.3%
4 66
 
6.2%
8 63
 
5.9%
Other values (2) 47
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing108
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)74.6%
Missing41
Missing (%)38.0%
Infinite0
Infinite (%)0.0%
Mean694316.87
Minimum41036
Maximum711872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T14:49:55.380811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41036
5-th percentile700865.1
Q1702818
median704350
Q3705034.5
95-th percentile706848.8
Maximum711872
Range670836
Interquartile range (IQR)2216.5

Descriptive statistics

Standard deviation81047.282
Coefficient of variation (CV)0.11672953
Kurtosis66.906426
Mean694316.87
Median Absolute Deviation (MAD)1475
Skewness-8.1768971
Sum46519230
Variance6.5686619 × 109
MonotonicityNot monotonic
2024-04-18T14:49:55.502876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704948 4
 
3.7%
704940 3
 
2.8%
704350 3
 
2.8%
706853 3
 
2.8%
703848 2
 
1.9%
702845 2
 
1.9%
704914 2
 
1.9%
704141 2
 
1.9%
706839 2
 
1.9%
701815 2
 
1.9%
Other values (40) 42
38.9%
(Missing) 41
38.0%
ValueCountFrequency (%)
41036 1
0.9%
700020 1
0.9%
700060 1
0.9%
700803 1
0.9%
701010 2
1.9%
701020 2
1.9%
701250 1
0.9%
701815 2
1.9%
701830 1
0.9%
701841 1
0.9%
ValueCountFrequency (%)
711872 1
 
0.9%
706853 3
2.8%
706839 2
1.9%
706836 1
 
0.9%
706833 1
 
0.9%
706817 1
 
0.9%
706800 1
 
0.9%
706220 1
 
0.9%
705826 1
 
0.9%
705825 1
 
0.9%

소재지전체주소
Text

MISSING 

Distinct102
Distinct (%)99.0%
Missing5
Missing (%)4.6%
Memory size996.0 B
2024-04-18T14:49:55.824971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length30
Mean length23.553398
Min length17

Characters and Unicode

Total characters2426
Distinct characters106
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)98.1%

Sample

1st row대구광역시 중구 향촌동 16번지
2nd row대구광역시 중구 남산동 923번지 16호
3rd row대구광역시 중구 남산동 2111-1
4th row대구광역시 중구 태평로1가 1번지 187호 2층 241호
5th row대구광역시 중구 남일동 131번지 1호
ValueCountFrequency (%)
대구광역시 103
 
19.3%
달서구 37
 
6.9%
1호 17
 
3.2%
수성구 16
 
3.0%
북구 13
 
2.4%
동구 13
 
2.4%
남구 10
 
1.9%
2호 8
 
1.5%
3호 8
 
1.5%
서구 7
 
1.3%
Other values (198) 301
56.5%
2024-04-18T14:49:56.278033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
430
17.7%
구 205
 
8.5%
1 129
 
5.3%
동 117
 
4.8%
대 112
 
4.6%
시 104
 
4.3%
역 104
 
4.3%
광 103
 
4.2%
지 101
 
4.2%
번 96
 
4.0%
Other values (96) 925
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1439
59.3%
Decimal Number 529
 
21.8%
Space Separator 430
 
17.7%
Dash Punctuation 10
 
0.4%
Close Punctuation 7
 
0.3%
Open Punctuation 7
 
0.3%
Other Punctuation 3
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 205
14.2%
동 117
 
8.1%
대 112
 
7.8%
시 104
 
7.2%
역 104
 
7.2%
광 103
 
7.2%
지 101
 
7.0%
번 96
 
6.7%
호 90
 
6.3%
서 44
 
3.1%
Other values (80) 363
25.2%
Decimal Number
ValueCountFrequency (%)
1 129
24.4%
2 85
16.1%
3 53
10.0%
4 50
 
9.5%
7 45
 
8.5%
5 41
 
7.8%
0 35
 
6.6%
8 34
 
6.4%
6 31
 
5.9%
9 26
 
4.9%
Space Separator
ValueCountFrequency (%)
430
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1439
59.3%
Common 986
40.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 205
14.2%
동 117
 
8.1%
대 112
 
7.8%
시 104
 
7.2%
역 104
 
7.2%
광 103
 
7.2%
지 101
 
7.0%
번 96
 
6.7%
호 90
 
6.3%
서 44
 
3.1%
Other values (80) 363
25.2%
Common
ValueCountFrequency (%)
430
43.6%
1 129
 
13.1%
2 85
 
8.6%
3 53
 
5.4%
4 50
 
5.1%
7 45
 
4.6%
5 41
 
4.2%
0 35
 
3.5%
8 34
 
3.4%
6 31
 
3.1%
Other values (5) 53
 
5.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1439
59.3%
ASCII 987
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
430
43.6%
1 129
 
13.1%
2 85
 
8.6%
3 53
 
5.4%
4 50
 
5.1%
7 45
 
4.6%
5 41
 
4.2%
0 35
 
3.5%
8 34
 
3.4%
6 31
 
3.1%
Other values (6) 54
 
5.5%
Hangul
ValueCountFrequency (%)
구 205
14.2%
동 117
 
8.1%
대 112
 
7.8%
시 104
 
7.2%
역 104
 
7.2%
광 103
 
7.2%
지 101
 
7.0%
번 96
 
6.7%
호 90
 
6.3%
서 44
 
3.1%
Other values (80) 363
25.2%

도로명전체주소
Text

Distinct106
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size996.0 B
2024-04-18T14:49:56.571635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length27.759259
Min length21

Characters and Unicode

Total characters2998
Distinct characters151
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)96.3%

Sample

1st row대구광역시 중구 북성로 106-6 (향촌동)
2nd row대구광역시 중구 명륜로21길 84 (남산동)
3rd row대구광역시 중구 명덕로 179, 2층 (남산동)
4th row대구광역시 중구 태평로 177 (태평로1가, 태평라이프아파트)
5th row대구광역시 중구 중앙대로79길 13 (남일동)
ValueCountFrequency (%)
대구광역시 108
 
17.5%
달서구 38
 
6.1%
수성구 16
 
2.6%
동구 15
 
2.4%
북구 14
 
2.3%
1층 11
 
1.8%
남구 10
 
1.6%
2층 10
 
1.6%
3층 10
 
1.6%
5층 9
 
1.5%
Other values (250) 377
61.0%
2024-04-18T14:49:56.985922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
510
 
17.0%
구 230
 
7.7%
동 143
 
4.8%
대 140
 
4.7%
시 110
 
3.7%
( 109
 
3.6%
) 109
 
3.6%
역 109
 
3.6%
광 109
 
3.6%
로 106
 
3.5%
Other values (141) 1323
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1725
57.5%
Space Separator 510
 
17.0%
Decimal Number 454
 
15.1%
Open Punctuation 109
 
3.6%
Close Punctuation 109
 
3.6%
Other Punctuation 64
 
2.1%
Dash Punctuation 24
 
0.8%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 230
 
13.3%
동 143
 
8.3%
대 140
 
8.1%
시 110
 
6.4%
역 109
 
6.3%
광 109
 
6.3%
로 106
 
6.1%
서 54
 
3.1%
달 51
 
3.0%
층 50
 
2.9%
Other values (123) 623
36.1%
Decimal Number
ValueCountFrequency (%)
1 94
20.7%
2 73
16.1%
3 58
12.8%
4 45
9.9%
0 39
8.6%
5 38
8.4%
6 34
 
7.5%
8 32
 
7.0%
7 26
 
5.7%
9 15
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
K 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
510
100.0%
Open Punctuation
ValueCountFrequency (%)
( 109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 109
100.0%
Other Punctuation
ValueCountFrequency (%)
, 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1725
57.5%
Common 1270
42.4%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 230
 
13.3%
동 143
 
8.3%
대 140
 
8.1%
시 110
 
6.4%
역 109
 
6.3%
광 109
 
6.3%
로 106
 
6.1%
서 54
 
3.1%
달 51
 
3.0%
층 50
 
2.9%
Other values (123) 623
36.1%
Common
ValueCountFrequency (%)
510
40.2%
( 109
 
8.6%
) 109
 
8.6%
1 94
 
7.4%
2 73
 
5.7%
, 64
 
5.0%
3 58
 
4.6%
4 45
 
3.5%
0 39
 
3.1%
5 38
 
3.0%
Other values (5) 131
 
10.3%
Latin
ValueCountFrequency (%)
P 1
33.3%
K 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1725
57.5%
ASCII 1273
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
510
40.1%
( 109
 
8.6%
) 109
 
8.6%
1 94
 
7.4%
2 73
 
5.7%
, 64
 
5.0%
3 58
 
4.6%
4 45
 
3.5%
0 39
 
3.1%
5 38
 
3.0%
Other values (8) 134
 
10.5%
Hangul
ValueCountFrequency (%)
구 230
 
13.3%
동 143
 
8.3%
대 140
 
8.1%
시 110
 
6.4%
역 109
 
6.3%
광 109
 
6.3%
로 106
 
6.1%
서 54
 
3.1%
달 51
 
3.0%
층 50
 
2.9%
Other values (123) 623
36.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)85.2%
Missing20
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean169942.4
Minimum41036
Maximum706839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T14:49:57.118513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41036
5-th percentile41204.75
Q141819.5
median42457
Q342808.5
95-th percentile704945.2
Maximum706839
Range665803
Interquartile range (IQR)989

Descriptive statistics

Standard deviation262707.12
Coefficient of variation (CV)1.5458598
Kurtosis0.5121123
Mean169942.4
Median Absolute Deviation (MAD)505.5
Skewness1.5814251
Sum14954931
Variance6.901503 × 1010
MonotonicityNot monotonic
2024-04-18T14:49:57.249909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701815 3
 
2.8%
41423 3
 
2.8%
42149 3
 
2.8%
42661 2
 
1.9%
42612 2
 
1.9%
704948 2
 
1.9%
41226 2
 
1.9%
42713 2
 
1.9%
41462 2
 
1.9%
41935 2
 
1.9%
Other values (65) 65
60.2%
(Missing) 20
 
18.5%
ValueCountFrequency (%)
41036 1
 
0.9%
41119 1
 
0.9%
41124 1
 
0.9%
41146 1
 
0.9%
41203 1
 
0.9%
41208 1
 
0.9%
41226 2
1.9%
41248 1
 
0.9%
41423 3
2.8%
41462 2
1.9%
ValueCountFrequency (%)
706839 1
0.9%
706800 1
0.9%
706220 1
0.9%
704948 2
1.9%
704940 1
0.9%
704914 1
0.9%
704826 1
0.9%
702869 1
0.9%
702851 1
0.9%
702805 1
0.9%

사업장명
Text

Distinct99
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size996.0 B
2024-04-18T14:49:57.487816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length7.1203704
Min length1

Characters and Unicode

Total characters769
Distinct characters156
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)83.3%

Sample

1st row뉴대구안마시술소
2nd row약손안마원
3rd row명덕건강안마원
4th row약손지압안마원
5th row영광안마원
ValueCountFrequency (%)
약손수기안마원 2
 
1.8%
상인안마시술소 2
 
1.8%
엠안마시술소 2
 
1.8%
도쿄안마시술소 2
 
1.8%
약손지압안마원 2
 
1.8%
밝은세상안마원 2
 
1.8%
진안마원 2
 
1.8%
성모지압안마원 2
 
1.8%
달구벌안마센터안마원 2
 
1.8%
밝은세상안마원신천역점 2
 
1.8%
Other values (93) 93
82.3%
2024-04-18T14:49:57.919503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 105
 
13.7%
안 104
 
13.5%
원 63
 
8.2%
시 48
 
6.2%
술 46
 
6.0%
소 46
 
6.0%
지 14
 
1.8%
압 14
 
1.8%
강 12
 
1.6%
건 10
 
1.3%
Other values (146) 307
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 759
98.7%
Space Separator 5
 
0.7%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 105
 
13.8%
안 104
 
13.7%
원 63
 
8.3%
시 48
 
6.3%
술 46
 
6.1%
소 46
 
6.1%
지 14
 
1.8%
압 14
 
1.8%
강 12
 
1.6%
건 10
 
1.3%
Other values (142) 297
39.1%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 759
98.7%
Common 9
 
1.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 105
 
13.8%
안 104
 
13.7%
원 63
 
8.3%
시 48
 
6.3%
술 46
 
6.1%
소 46
 
6.1%
지 14
 
1.8%
압 14
 
1.8%
강 12
 
1.6%
건 10
 
1.3%
Other values (142) 297
39.1%
Common
ValueCountFrequency (%)
5
55.6%
) 2
 
22.2%
( 2
 
22.2%
Latin
ValueCountFrequency (%)
s 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 759
98.7%
ASCII 10
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 105
 
13.8%
안 104
 
13.7%
원 63
 
8.3%
시 48
 
6.3%
술 46
 
6.1%
소 46
 
6.1%
지 14
 
1.8%
압 14
 
1.8%
강 12
 
1.6%
건 10
 
1.3%
Other values (142) 297
39.1%
ASCII
ValueCountFrequency (%)
5
50.0%
) 2
 
20.0%
( 2
 
20.0%
s 1
 
10.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0169309 × 1013
Minimum2.0090122 × 1013
Maximum2.022083 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T14:49:58.059319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0090122 × 1013
5-th percentile2.0091155 × 1013
Q12.0140268 × 1013
median2.0181074 × 1013
Q32.0200451 × 1013
95-th percentile2.0220488 × 1013
Maximum2.022083 × 1013
Range1.30708 × 1011
Interquartile range (IQR)6.0183756 × 1010

Descriptive statistics

Standard deviation3.9453335 × 1010
Coefficient of variation (CV)0.0019561075
Kurtosis-0.8459658
Mean2.0169309 × 1013
Median Absolute Deviation (MAD)2.9148919 × 1010
Skewness-0.5532409
Sum2.1782853 × 1015
Variance1.5565657 × 1021
MonotonicityNot monotonic
2024-04-18T14:49:58.193958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090616134350 1
 
0.9%
20220520155939 1
 
0.9%
20091207172631 1
 
0.9%
20090122114622 1
 
0.9%
20181022171354 1
 
0.9%
20220830114351 1
 
0.9%
20140710142029 1
 
0.9%
20210513172805 1
 
0.9%
20150122133912 1
 
0.9%
20180409171429 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
20090122114622 1
0.9%
20090219154631 1
0.9%
20090608133316 1
0.9%
20090616134350 1
0.9%
20090706160206 1
0.9%
20091126171014 1
0.9%
20091207172631 1
0.9%
20101025163234 1
0.9%
20101229141540 1
0.9%
20110412170931 1
0.9%
ValueCountFrequency (%)
20220830114351 1
0.9%
20220811180805 1
0.9%
20220804105300 1
0.9%
20220721100448 1
0.9%
20220607175603 1
0.9%
20220520155939 1
0.9%
20220429131939 1
0.9%
20220425140755 1
0.9%
20220209190216 1
0.9%
20220118094106 1
0.9%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
I
65 
U
43 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 65
60.2%
U 43
39.8%

Length

2024-04-18T14:49:58.317320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:49:58.408900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 65
60.2%
u 43
39.8%

데이터갱신일자
Date

Distinct53
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Memory size996.0 B
Minimum2018-08-31 23:59:59
Maximum2022-09-01 02:40:00
2024-04-18T14:49:58.506167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T14:49:58.631875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
안마원
59 
안마시술소
49 

Length

Max length5
Median length3
Mean length3.9074074
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안마시술소
2nd row안마원
3rd row안마원
4th row안마원
5th row안마원

Common Values

ValueCountFrequency (%)
안마원 59
54.6%
안마시술소 49
45.4%

Length

2024-04-18T14:49:58.775937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:49:58.873850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안마원 59
54.6%
안마시술소 49
45.4%

좌표정보(X)
Real number (ℝ)

Distinct101
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean342269.56
Minimum330472.77
Maximum353893.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T14:49:58.973312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330472.77
5-th percentile334561.75
Q1339516.84
median341797.17
Q3346133
95-th percentile348363.73
Maximum353893.91
Range23421.134
Interquartile range (IQR)6616.1621

Descriptive statistics

Standard deviation4642.3458
Coefficient of variation (CV)0.01356342
Kurtosis-0.049087276
Mean342269.56
Median Absolute Deviation (MAD)3066.5279
Skewness0.011253971
Sum36965112
Variance21551374
MonotonicityNot monotonic
2024-04-18T14:49:59.118467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
346183.075894238 3
 
2.8%
335948.027345208 2
 
1.9%
339608.217909205 2
 
1.9%
343780.38965769 2
 
1.9%
334336.619602736 2
 
1.9%
346030.972206818 2
 
1.9%
336127.957672549 1
 
0.9%
334570.908255753 1
 
0.9%
338748.762899091 1
 
0.9%
340791.093941216 1
 
0.9%
Other values (91) 91
84.3%
ValueCountFrequency (%)
330472.771477673 1
0.9%
331786.68650094 1
0.9%
333384.544980179 1
0.9%
334336.619602736 2
1.9%
334556.819846333 1
0.9%
334570.908255753 1
0.9%
334612.020255757 1
0.9%
335894.398545255 1
0.9%
335913.906004401 1
0.9%
335921.019181309 1
0.9%
ValueCountFrequency (%)
353893.90529968 1
0.9%
353283.817833224 1
0.9%
352879.759293632 1
0.9%
352448.450209963 1
0.9%
350468.199860886 1
0.9%
348533.907955045 1
0.9%
348047.673813359 1
0.9%
348044.25097789 1
0.9%
347745.764729053 1
0.9%
347517.490031648 1
0.9%

좌표정보(Y)
Real number (ℝ)

Distinct101
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean262998.67
Minimum244554.29
Maximum272532.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T14:49:59.240233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244554.29
5-th percentile258018.36
Q1261206.69
median262655.62
Q3265058.59
95-th percentile270069.54
Maximum272532.5
Range27978.206
Interquartile range (IQR)3851.9

Descriptive statistics

Standard deviation4116.8254
Coefficient of variation (CV)0.015653408
Kurtosis6.103681
Mean262998.67
Median Absolute Deviation (MAD)1920.9107
Skewness-1.0838639
Sum28403856
Variance16948252
MonotonicityNot monotonic
2024-04-18T14:49:59.387625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265851.019832215 3
 
2.8%
262530.582893126 2
 
1.9%
258018.357722032 2
 
1.9%
264381.00710636 2
 
1.9%
261291.212786605 2
 
1.9%
265058.585127789 2
 
1.9%
262233.68374671 1
 
0.9%
260706.1221927 1
 
0.9%
261211.796655218 1
 
0.9%
262868.287419481 1
 
0.9%
Other values (91) 91
84.3%
ValueCountFrequency (%)
244554.291475551 1
0.9%
245132.142997977 1
0.9%
257501.80233092 1
0.9%
257537.257373368 1
0.9%
257936.142748099 1
0.9%
258018.357722032 2
1.9%
258264.793032532 1
0.9%
258301.955193712 1
0.9%
258572.019825526 1
0.9%
259247.801326635 1
0.9%
ValueCountFrequency (%)
272532.497121826 1
0.9%
272489.775106816 1
0.9%
272478.947342799 1
0.9%
271660.604411499 1
0.9%
270555.908770129 1
0.9%
270554.290764299 1
0.9%
269169.287620815 1
0.9%
269002.509520997 1
0.9%
268689.869778514 1
0.9%
268307.145144458 1
0.9%

의료유사업종별명
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
안마원
59 
안마시술소
49 

Length

Max length5
Median length3
Mean length3.9074074
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안마시술소
2nd row안마원
3rd row안마원
4th row안마원
5th row안마원

Common Values

ValueCountFrequency (%)
안마원 59
54.6%
안마시술소 49
45.4%

Length

2024-04-18T14:49:59.517372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:49:59.615785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안마원 59
54.6%
안마시술소 49
45.4%

직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)9.9%
Missing7
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean2.960396
Minimum0
Maximum95
Zeros6
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T14:49:59.690441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum95
Range95
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.381813
Coefficient of variation (CV)3.1691074
Kurtosis95.273823
Mean2.960396
Median Absolute Deviation (MAD)1
Skewness9.6362752
Sum299
Variance88.018416
MonotonicityNot monotonic
2024-04-18T14:49:59.785629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 41
38.0%
1 31
28.7%
3 13
 
12.0%
0 6
 
5.6%
4 5
 
4.6%
9 1
 
0.9%
10 1
 
0.9%
5 1
 
0.9%
95 1
 
0.9%
8 1
 
0.9%
(Missing) 7
 
6.5%
ValueCountFrequency (%)
0 6
 
5.6%
1 31
28.7%
2 41
38.0%
3 13
 
12.0%
4 5
 
4.6%
5 1
 
0.9%
8 1
 
0.9%
9 1
 
0.9%
10 1
 
0.9%
95 1
 
0.9%
ValueCountFrequency (%)
95 1
 
0.9%
10 1
 
0.9%
9 1
 
0.9%
8 1
 
0.9%
5 1
 
0.9%
4 5
 
4.6%
3 13
 
12.0%
2 41
38.0%
1 31
28.7%
0 6
 
5.6%

자격증소유자수
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
<NA>
92 
0
16 

Length

Max length4
Median length4
Mean length3.5555556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
85.2%
0 16
 
14.8%

Length

2024-04-18T14:49:59.895401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:49:59.978845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
85.2%
0 16
 
14.8%

보조직원수
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
<NA>
92 
0
16 

Length

Max length4
Median length4
Mean length3.5555556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
85.2%
0 16
 
14.8%

Length

2024-04-18T14:50:00.075095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:50:00.162059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
85.2%
0 16
 
14.8%

시설관리자수
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
<NA>
92 
0
16 

Length

Max length4
Median length4
Mean length3.5555556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
85.2%
0 16
 
14.8%

Length

2024-04-18T14:50:00.259097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:50:00.349978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
85.2%
0 16
 
14.8%

기타직원수
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
<NA>
92 
0
16 

Length

Max length4
Median length4
Mean length3.5555556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
85.2%
0 16
 
14.8%

Length

2024-04-18T14:50:00.435836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:50:00.527766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
85.2%
0 16
 
14.8%

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)28.4%
Missing27
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean9.037037
Minimum0
Maximum133
Zeros10
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T14:50:00.608276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q312
95-th percentile19
Maximum133
Range133
Interquartile range (IQR)10

Descriptive statistics

Standard deviation15.166117
Coefficient of variation (CV)1.6782179
Kurtosis57.084559
Mean9.037037
Median Absolute Deviation (MAD)5
Skewness6.9815729
Sum732
Variance230.01111
MonotonicityNot monotonic
2024-04-18T14:50:00.728897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 10
 
9.3%
1 9
 
8.3%
10 8
 
7.4%
12 6
 
5.6%
8 6
 
5.6%
2 5
 
4.6%
13 5
 
4.6%
3 4
 
3.7%
5 4
 
3.7%
9 4
 
3.7%
Other values (13) 20
18.5%
(Missing) 27
25.0%
ValueCountFrequency (%)
0 10
9.3%
1 9
8.3%
2 5
4.6%
3 4
 
3.7%
4 2
 
1.9%
5 4
 
3.7%
6 2
 
1.9%
7 3
 
2.8%
8 6
5.6%
9 4
 
3.7%
ValueCountFrequency (%)
133 1
 
0.9%
23 1
 
0.9%
22 1
 
0.9%
20 1
 
0.9%
19 1
 
0.9%
18 2
 
1.9%
17 2
 
1.9%
16 1
 
0.9%
14 1
 
0.9%
13 5
4.6%

욕실면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size996.0 B
<NA>
81 
0.0
24 
8.5
 
1
37.0
 
1
808.08
 
1

Length

Max length6
Median length4
Mean length3.787037
Min length3

Unique

Unique3 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 81
75.0%
0.0 24
 
22.2%
8.5 1
 
0.9%
37.0 1
 
0.9%
808.08 1
 
0.9%

Length

2024-04-18T14:50:00.845803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T14:50:00.950718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
75.0%
0.0 24
 
22.2%
8.5 1
 
0.9%
37.0 1
 
0.9%
808.08 1
 
0.9%

총면적
Real number (ℝ)

Distinct101
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2729.8706
Minimum1
Maximum269055
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-18T14:50:01.067904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile33.767
Q184.295
median182.9
Q3344.8725
95-th percentile672.997
Maximum269055
Range269054
Interquartile range (IQR)260.5775

Descriptive statistics

Standard deviation25867.358
Coefficient of variation (CV)9.4756721
Kurtosis107.9879
Mean2729.8706
Median Absolute Deviation (MAD)113.5
Skewness10.39144
Sum294826.02
Variance6.6912022 × 108
MonotonicityNot monotonic
2024-04-18T14:50:01.210936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
296.4 3
 
2.8%
75.0 2
 
1.9%
60.0 2
 
1.9%
285.64 2
 
1.9%
167.39 2
 
1.9%
154.77 2
 
1.9%
768.0 1
 
0.9%
519.29 1
 
0.9%
472.73 1
 
0.9%
251.0 1
 
0.9%
Other values (91) 91
84.3%
ValueCountFrequency (%)
1.0 1
0.9%
21.0 1
0.9%
22.1 1
0.9%
23.0 1
0.9%
32.13 1
0.9%
32.5 1
0.9%
36.12 1
0.9%
44.0 1
0.9%
46.2 1
0.9%
47.36 1
0.9%
ValueCountFrequency (%)
269055.0 1
0.9%
825.0 1
0.9%
808.08 1
0.9%
768.0 1
0.9%
727.8 1
0.9%
685.38 1
0.9%
650.0 1
0.9%
600.21 1
0.9%
543.0 1
0.9%
519.29 1
0.9%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료유사업종별명직원수자격증소유자수보조직원수시설관리자수기타직원수병상수욕실면적총면적
01의료유사업01_01_10_P3410000PHMB42004341002304240000120040906<NA>3폐업3폐업20090616<NA><NA><NA>053-425-0041<NA>700020대구광역시 중구 향촌동 16번지대구광역시 중구 북성로 106-6 (향촌동)<NA>뉴대구안마시술소20090616134350I2018-08-31 23:59:59.0안마시술소343880.629259264937.042894안마시술소2<NA><NA><NA><NA>23<NA>768.0
12의료유사업01_01_10_P3410000PHMB42008341002304240000120080229<NA>3폐업3폐업20101025<NA><NA><NA>053-818-0019<NA>700803대구광역시 중구 남산동 923번지 16호대구광역시 중구 명륜로21길 84 (남산동)<NA>약손안마원20101025163234I2018-08-31 23:59:59.0안마원343872.247792263822.337184안마원1<NA><NA><NA><NA>1<NA>63.0
23의료유사업01_01_10_P3410000PHMB42021341002304240000120210312<NA>1영업/정상13영업중<NA><NA><NA><NA>053-212-9933<NA><NA>대구광역시 중구 남산동 2111-1대구광역시 중구 명덕로 179, 2층 (남산동)41968명덕건강안마원20210325093705I2021-03-27 00:23:11.0안마원343533.242982263052.5128안마원2<NA><NA><NA><NA>4<NA>82.0
34의료유사업01_01_10_P3410000PHMB42016341002304240000120160317<NA>1영업/정상13영업중<NA><NA><NA><NA>0534257695<NA><NA>대구광역시 중구 태평로1가 1번지 187호 2층 241호대구광역시 중구 태평로 177 (태평로1가, 태평라이프아파트)41903약손지압안마원20160323091430I2018-08-31 23:59:59.0안마원344204.52247265028.313376안마원<NA><NA><NA><NA><NA><NA><NA>72.37
45의료유사업01_01_10_P3410000PHMB42009341002304240000120091009<NA>1영업/정상13영업중<NA><NA><NA><NA>053-253-1889<NA>700060대구광역시 중구 남일동 131번지 1호대구광역시 중구 중앙대로79길 13 (남일동)41935영광안마원20120523104817I2018-08-31 23:59:59.0안마원343780.389658264381.007106안마원1<NA><NA><NA><NA><NA><NA>76.0
56의료유사업01_01_10_P3410000PHMB42015341002304240000120151216<NA>1영업/정상13영업중<NA><NA><NA><NA>053-254-7579<NA><NA><NA>대구광역시 중구 중앙대로79길 13, 평강빌딩동 201호 (남일동, 근린생활시설)41935허준안마원20220804105300U2022-08-06 02:40:00.0안마원343780.389658264381.007106안마원4000000.075.0
67의료유사업01_01_10_P3420000PHMB42013342002304240000120131128<NA>3폐업3폐업20210120<NA><NA><NA>053-755-6982<NA>701830대구광역시 동구 신천4동 375번지 10호대구광역시 동구 동부로30길 35-1 (신천동)41248더원안마시술소20210121091718U2021-01-23 02:40:00.0안마시술소347053.544234264961.010488안마시술소3<NA><NA><NA><NA>19<NA>383.45
78의료유사업01_01_10_P3420000PHMB42014342002304240000120141124<NA>3폐업3폐업20190304<NA><NA><NA>053-323-2131<NA>701815대구광역시 동구 신암동 214번지 11호대구광역시 동구 아양로 50 (신암동)41208수안마시술소20190305085121U2019-03-07 02:40:00.0안마시술소346183.075894265851.019832안마시술소2<NA><NA><NA><NA>10<NA>296.4
89의료유사업01_01_10_P3420000PHMB42017342002304240000220171226<NA>3폐업3폐업20180306<NA><NA><NA><NA><NA>41036<NA>대구광역시 동구 팔공로26길 52-1, 1층 (도동)41036참시원안마원20180306180850I2018-08-31 23:59:59.0안마원348533.907955269002.509521안마원<NA><NA><NA><NA><NA><NA><NA>55.51
910의료유사업01_01_10_P3420000PHMB42001342002304240000120011101<NA>3폐업3폐업20131216<NA><NA><NA>053-751-0444<NA>701020대구광역시 동구 신천동 381번지 3호대구광역시 동구 동부로30길 13 (신천동)701828두꺼비안마시술소20131226105259I2018-08-31 23:59:59.0안마시술소347049.715702265189.992075안마시술소2<NA><NA><NA><NA>7<NA>312.11
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료유사업종별명직원수자격증소유자수보조직원수시설관리자수기타직원수병상수욕실면적총면적
9899의료유사업01_01_10_P3470000PHMB42015347002204240000120150209<NA>1영업/정상13영업중<NA><NA><NA><NA>053-563-3375<NA><NA>대구광역시 달서구 본동 1149번지 1호대구광역시 달서구 학산로 127, 1,2층 (본동)42733송원지압안마원20190403180148U2019-04-05 02:40:00.0안마원339115.49497260394.412622안마원3<NA><NA><NA><NA><NA><NA>102.29
99100의료유사업01_01_10_P3470000PHMB42015347002204240000320151229<NA>1영업/정상13영업중<NA><NA><NA><NA>053-556-2224<NA><NA>대구광역시 달서구 두류동 840번지 193호대구광역시 달서구 달구벌대로 1870, 5층 (두류동)42661달구벌안마센터안마원20200123182855U2020-01-25 02:40:00.0안마원341657.571201263456.032372안마원3<NA><NA><NA><NA><NA><NA>174.9
100101의료유사업01_01_10_P3470000PHMB42019347002204240000220191008<NA>1영업/정상13영업중<NA><NA><NA><NA>053-583-7770<NA><NA>대구광역시 달서구 파호동 82번지 26호대구광역시 달서구 호산로29길 117, 2층 (파호동)42706시원한안마원20191016094633I2019-10-18 00:23:09.0안마원333384.54498262346.981516안마원1<NA><NA><NA><NA><NA><NA>132.25
101102의료유사업01_01_10_P3470000PHMB42018347002204240000120180824<NA>1영업/정상13영업중<NA><NA><NA><NA>053-631-2020<NA><NA>대구광역시 달서구 송현동 1944-11대구광역시 달서구 월배로 322, PK빌딩 5층 (송현동)42824성모지압안마원20220105164457U2022-01-07 02:40:00.0안마원339666.76055259330.613944안마원1000000.0105.0
102103의료유사업01_01_10_P3470000PHMB42020347002204240000120200910<NA>1영업/정상13영업중<NA><NA><NA><NA>053-941-1906<NA><NA>대구광역시 달서구 송현동 1979-17대구광역시 달서구 월배로80길 66, 1층 (송현동)42821진안마원20220105163904U2022-01-07 02:40:00.0안마원340336.994035259768.390556안마원0000000.023.0
103104의료유사업01_01_10_P3470000PHMB42020347002204240000220201008<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 달구벌대로 1545, 골든뷰 메디타워 603호 (죽전동)42633몸편한안마원20201019100351I2020-10-21 00:23:19.0안마원338692.0692262218.018119안마원4<NA><NA><NA><NA>80.0184.37
104105의료유사업01_01_10_P3470000PHMB42018347002204240000220181120<NA>1영업/정상13영업중<NA><NA><NA><NA>053-658-8885<NA><NA>대구광역시 달서구 두류동 472번지 11호대구광역시 달서구 두류공원로 267, 2층 (두류동)42647밝은세상안마원 두류역점20181126175630I2018-11-28 02:20:01.0안마원340628.216826262980.547932안마원<NA><NA><NA><NA><NA>00.0192.06
105106의료유사업01_01_10_P3470000PHMB42017347002204240000120170714<NA>3폐업3폐업20181210<NA><NA><NA><NA><NA><NA>대구광역시 달서구 두류동 497번지 2호대구광역시 달서구 달구벌대로344길 68, 301호 (두류동)42645더힐링안마원(광장코아점)20181210132757U2018-12-12 02:40:00.0안마원340063.54193262666.756478안마원0<NA><NA><NA><NA><NA><NA>97.74
106107의료유사업01_01_10_P3480000PHMB42019348001204240000120190614<NA>1영업/정상13영업중<NA><NA><NA><NA>053-614-2626<NA><NA>대구광역시 달성군 유가읍 봉리 606번지 2호대구광역시 달성군 유가읍 테크노중앙대로 240, 한라하우젠트상가 3층 306호43018웅s의 몸사랑이야기20190621095359I2019-06-23 02:21:37.0안마원331786.686501244554.291476안마원1<NA><NA><NA><NA><NA><NA>101.33
107108의료유사업01_01_10_P3480000PHMB42003348001204240000120030918<NA>3폐업3폐업20091222<NA><NA><NA>617-1818<NA>711872대구광역시 달성군 현풍면 부리 453번지 1호 외3필지대구광역시 달성군 현풍면 현풍중앙로 94 (외3필지)<NA>현풍안마시술소20140321105845I2018-08-31 23:59:59.0안마시술소330472.771478245132.142998안마시술소2<NA><NA><NA><NA>80.0188.76