Overview

Dataset statistics

Number of variables37
Number of observations106
Missing cells1096
Missing cells (%)27.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.3 KiB
Average record size in memory321.2 B

Variable types

Numeric14
Categorical10
Text5
Unsupported7
DateTime1

Dataset

Description6270000_대구광역시_01_01_10_P_의료유사업_5월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000089703&dataSetDetailId=DDI_0000089726&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
욕실면적 is highly imbalanced (72.2%)Imbalance
인허가취소일자 has 106 (100.0%) missing valuesMissing
폐업일자 has 50 (47.2%) missing valuesMissing
휴업시작일자 has 93 (87.7%) missing valuesMissing
휴업종료일자 has 93 (87.7%) missing valuesMissing
재개업일자 has 106 (100.0%) missing valuesMissing
소재지전화 has 10 (9.4%) missing valuesMissing
소재지면적 has 106 (100.0%) missing valuesMissing
소재지우편번호 has 39 (36.8%) missing valuesMissing
소재지전체주소 has 5 (4.7%) missing valuesMissing
도로명우편번호 has 20 (18.9%) missing valuesMissing
종업원수 has 8 (7.5%) missing valuesMissing
자격증소유자수 has 106 (100.0%) missing valuesMissing
보조종업원수 has 106 (100.0%) missing valuesMissing
시설관리자수 has 106 (100.0%) missing valuesMissing
기타종업원수 has 106 (100.0%) missing valuesMissing
병상수 has 34 (32.1%) 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
자격증소유자수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보조종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설관리자수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기타종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
종업원수 has 5 (4.7%) zerosZeros
병상수 has 3 (2.8%) zerosZeros

Reproduction

Analysis started2023-12-10 18:53:03.089097
Analysis finished2023-12-10 18:53:03.773504
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct106
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.5
Minimum1
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T03:53:03.870754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.25
Q127.25
median53.5
Q379.75
95-th percentile100.75
Maximum106
Range105
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation30.743563
Coefficient of variation (CV)0.57464604
Kurtosis-1.2
Mean53.5
Median Absolute Deviation (MAD)26.5
Skewness0
Sum5671
Variance945.16667
MonotonicityStrictly increasing
2023-12-11T03:53:04.055049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
81 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%
73 1
 
0.9%
72 1
 
0.9%
Other values (96) 96
90.6%
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 (%)
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%
98 1
0.9%
97 1
0.9%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
의료유사업
106 

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 106
100.0%

Length

2023-12-11T03:53:04.225926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:53:04.359206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료유사업 106
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
01_01_10_P
106 

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 106
100.0%

Length

2023-12-11T03:53:04.483641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:53:04.920772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_10_p 106
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450188.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T03:53:05.004476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3412500
Q13430000
median3460000
Q33470000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation20701.099
Coefficient of variation (CV)0.0059999903
Kurtosis-1.0669803
Mean3450188.7
Median Absolute Deviation (MAD)10000
Skewness-0.56403579
Sum3.6572 × 108
Variance4.2853549 × 108
MonotonicityIncreasing
2023-12-11T03:53:05.126022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 37
34.9%
3420000 15
14.2%
3460000 15
14.2%
3450000 14
 
13.2%
3440000 10
 
9.4%
3430000 7
 
6.6%
3410000 6
 
5.7%
3480000 2
 
1.9%
ValueCountFrequency (%)
3410000 6
 
5.7%
3420000 15
14.2%
3430000 7
 
6.6%
3440000 10
 
9.4%
3450000 14
 
13.2%
3460000 15
14.2%
3470000 37
34.9%
3480000 2
 
1.9%
ValueCountFrequency (%)
3480000 2
 
1.9%
3470000 37
34.9%
3460000 15
14.2%
3450000 14
 
13.2%
3440000 10
 
9.4%
3430000 7
 
6.6%
3420000 15
14.2%
3410000 6
 
5.7%

관리번호
Text

UNIQUE 

Distinct106
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-11T03:53:05.356508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2650
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

Unique106 ?
Unique (%)100.0%

Sample

1st rowPHMB420043410023042400001
2nd rowPHMB420083410023042400001
3rd rowPHMB420153410023042400001
4th rowPHMB420163410023042400001
5th rowPHMB420093410023042400001
ValueCountFrequency (%)
phmb420043410023042400001 1
 
0.9%
phmb420083470022042400001 1
 
0.9%
phmb420053470022042400002 1
 
0.9%
phmb420043470022042400002 1
 
0.9%
phmb420063470022042400002 1
 
0.9%
phmb420063470022042400001 1
 
0.9%
phmb420053470022042400001 1
 
0.9%
phmb420033470022042400001 1
 
0.9%
phmb420023470022042400002 1
 
0.9%
phmb420023470022042400001 1
 
0.9%
Other values (96) 96
90.6%
2023-12-11T03:53:05.751995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 899
33.9%
4 457
17.2%
2 412
15.5%
3 168
 
6.3%
1 153
 
5.8%
P 106
 
4.0%
H 106
 
4.0%
M 106
 
4.0%
B 106
 
4.0%
7 48
 
1.8%
Other values (4) 89
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2226
84.0%
Uppercase Letter 424
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 899
40.4%
4 457
20.5%
2 412
18.5%
3 168
 
7.5%
1 153
 
6.9%
7 48
 
2.2%
5 29
 
1.3%
6 26
 
1.2%
9 23
 
1.0%
8 11
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 106
25.0%
H 106
25.0%
M 106
25.0%
B 106
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2226
84.0%
Latin 424
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 899
40.4%
4 457
20.5%
2 412
18.5%
3 168
 
7.5%
1 153
 
6.9%
7 48
 
2.2%
5 29
 
1.3%
6 26
 
1.2%
9 23
 
1.0%
8 11
 
0.5%
Latin
ValueCountFrequency (%)
P 106
25.0%
H 106
25.0%
M 106
25.0%
B 106
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2650
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 899
33.9%
4 457
17.2%
2 412
15.5%
3 168
 
6.3%
1 153
 
5.8%
P 106
 
4.0%
H 106
 
4.0%
M 106
 
4.0%
B 106
 
4.0%
7 48
 
1.8%
Other values (4) 89
 
3.4%

인허가일자
Real number (ℝ)

Distinct102
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20110619
Minimum19850119
Maximum20210312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T03:53:05.911606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19850119
5-th percentile20020410
Q120060766
median20120468
Q320160284
95-th percentile20200596
Maximum20210312
Range360193
Interquartile range (IQR)99518.25

Descriptive statistics

Standard deviation63701.325
Coefficient of variation (CV)0.0031675467
Kurtosis1.3672156
Mean20110619
Median Absolute Deviation (MAD)49454.5
Skewness-0.78727626
Sum2.1317256 × 109
Variance4.0578588 × 109
MonotonicityNot monotonic
2023-12-11T03:53:06.078776image/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%
20040612 1
 
0.9%
20060629 1
 
0.9%
20060322 1
 
0.9%
20050604 1
 
0.9%
20030507 1
 
0.9%
20020912 1
 
0.9%
Other values (92) 92
86.8%
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 (%)
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%
20191008 1
0.9%
20190823 1
0.9%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size980.0 B
3
55 
1
50 
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 55
51.9%
1 50
47.2%
4 1
 
0.9%

Length

2023-12-11T03:53:06.241922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:53:06.354125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 55
51.9%
1 50
47.2%
4 1
 
0.9%

영업상태명
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size980.0 B
폐업
55 
영업/정상
50 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.5283019
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 55
51.9%
영업/정상 50
47.2%
취소/말소/만료/정지/중지 1
 
0.9%

Length

2023-12-11T03:53:06.487724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:53:06.602982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 55
51.9%
영업/정상 50
47.2%
취소/말소/만료/정지/중지 1
 
0.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size980.0 B
3
55 
13
50 
24
 
1

Length

Max length2
Median length1
Mean length1.4811321
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
3 55
51.9%
13 50
47.2%
24 1
 
0.9%

Length

2023-12-11T03:53:06.745253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:53:06.884723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 55
51.9%
13 50
47.2%
24 1
 
0.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size980.0 B
폐업
55 
영업중
50 
직권폐업
 
1

Length

Max length4
Median length2
Mean length2.490566
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 55
51.9%
영업중 50
47.2%
직권폐업 1
 
0.9%

Length

2023-12-11T03:53:07.038033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:53:07.178582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 55
51.9%
영업중 50
47.2%
직권폐업 1
 
0.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)98.2%
Missing50
Missing (%)47.2%
Infinite0
Infinite (%)0.0%
Mean20145364
Minimum20090122
Maximum20210513
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T03:53:07.318370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090122
5-th percentile20090587
Q120111119
median20141076
Q320181068
95-th percentile20200869
Maximum20210513
Range120391
Interquartile range (IQR)69948.5

Descriptive statistics

Standard deviation39471.419
Coefficient of variation (CV)0.0019593301
Kurtosis-1.397613
Mean20145364
Median Absolute Deviation (MAD)39643
Skewness0.011134263
Sum1.1281404 × 109
Variance1.5579929 × 109
MonotonicityNot monotonic
2023-12-11T03:53:07.482562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090706 2
 
1.9%
20210513 1
 
0.9%
20170110 1
 
0.9%
20150706 1
 
0.9%
20190114 1
 
0.9%
20120430 1
 
0.9%
20181205 1
 
0.9%
20181210 1
 
0.9%
20151023 1
 
0.9%
20151109 1
 
0.9%
Other values (45) 45
42.5%
(Missing) 50
47.2%
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 (%)
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%
20190520 1
0.9%
20190429 1
0.9%
20190304 1
0.9%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)100.0%
Missing93
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean20119242
Minimum20081212
Maximum20200811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T03:53:07.628423image/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
2023-12-11T03:53:07.788569image/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) 93
87.7%
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%
Missing93
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean20123783
Minimum20090610
Maximum20210210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T03:53:07.929031image/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
2023-12-11T03:53:08.040868image/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) 93
87.7%
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 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

소재지전화
Text

MISSING 

Distinct92
Distinct (%)95.8%
Missing10
Missing (%)9.4%
Memory size980.0 B
2023-12-11T03:53:08.300259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.614583
Min length8

Characters and Unicode

Total characters1019
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 (%)91.7%

Sample

1st row053-425-0041
2nd row053-818-0019
3rd row053-254-7579
4th row0534257695
5th row053-253-1889
ValueCountFrequency (%)
053-754-8885 2
 
2.0%
053-556-2224 2
 
2.0%
588-9943 2
 
2.0%
636-2080 2
 
2.0%
053-746-6478 1
 
1.0%
592-2010 1
 
1.0%
626-0500 1
 
1.0%
523-6869 1
 
1.0%
593-1422 1
 
1.0%
641-9020 1
 
1.0%
Other values (84) 84
85.7%
2023-12-11T03:53:08.747193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 168
16.5%
- 149
14.6%
0 125
12.3%
3 124
12.2%
2 88
8.6%
6 69
6.8%
7 67
 
6.6%
4 63
 
6.2%
8 62
 
6.1%
1 60
 
5.9%
Other values (2) 44
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 868
85.2%
Dash Punctuation 149
 
14.6%
Space Separator 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 168
19.4%
0 125
14.4%
3 124
14.3%
2 88
10.1%
6 69
7.9%
7 67
 
7.7%
4 63
 
7.3%
8 62
 
7.1%
1 60
 
6.9%
9 42
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 149
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1019
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 168
16.5%
- 149
14.6%
0 125
12.3%
3 124
12.2%
2 88
8.6%
6 69
6.8%
7 67
 
6.6%
4 63
 
6.2%
8 62
 
6.1%
1 60
 
5.9%
Other values (2) 44
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1019
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 168
16.5%
- 149
14.6%
0 125
12.3%
3 124
12.2%
2 88
8.6%
6 69
6.8%
7 67
 
6.6%
4 63
 
6.2%
8 62
 
6.1%
1 60
 
5.9%
Other values (2) 44
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)74.6%
Missing39
Missing (%)36.8%
Infinite0
Infinite (%)0.0%
Mean694316.87
Minimum41036
Maximum711872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T03:53:08.905304image/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
2023-12-11T03:53:09.058072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704948 4
 
3.8%
704940 3
 
2.8%
704350 3
 
2.8%
706853 3
 
2.8%
701815 2
 
1.9%
706839 2
 
1.9%
701010 2
 
1.9%
703848 2
 
1.9%
704141 2
 
1.9%
702845 2
 
1.9%
Other values (40) 42
39.6%
(Missing) 39
36.8%
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 

Distinct100
Distinct (%)99.0%
Missing5
Missing (%)4.7%
Memory size980.0 B
2023-12-11T03:53:09.488062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length30
Mean length23.712871
Min length17

Characters and Unicode

Total characters2395
Distinct characters113
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

Unique99 ?
Unique (%)98.0%

Sample

1st row대구광역시 중구 향촌동 16번지
2nd row대구광역시 중구 남산동 923번지 16호
3rd row대구광역시 중구 태평로1가 1번지 187호 2층 241호
4th row대구광역시 중구 남일동 131번지 1호
5th row대구광역시 중구 남산동 2111-1
ValueCountFrequency (%)
대구광역시 101
 
19.2%
달서구 36
 
6.8%
1호 17
 
3.2%
수성구 15
 
2.9%
북구 13
 
2.5%
동구 13
 
2.5%
남구 10
 
1.9%
3호 8
 
1.5%
2호 8
 
1.5%
서구 7
 
1.3%
Other values (197) 298
56.7%
2023-12-11T03:53:10.125618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
425
17.7%
구 201
 
8.4%
1 127
 
5.3%
동 115
 
4.8%
대 110
 
4.6%
시 102
 
4.3%
역 102
 
4.3%
지 102
 
4.3%
광 101
 
4.2%
번 97
 
4.1%
Other values (103) 913
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1427
59.6%
Decimal Number 518
 
21.6%
Space Separator 425
 
17.7%
Close Punctuation 7
 
0.3%
Open Punctuation 7
 
0.3%
Dash Punctuation 7
 
0.3%
Other Punctuation 3
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 201
14.1%
동 115
 
8.1%
대 110
 
7.7%
시 102
 
7.1%
역 102
 
7.1%
지 102
 
7.1%
광 101
 
7.1%
번 97
 
6.8%
호 90
 
6.3%
서 43
 
3.0%
Other values (87) 364
25.5%
Decimal Number
ValueCountFrequency (%)
1 127
24.5%
2 84
16.2%
3 52
10.0%
4 49
 
9.5%
7 44
 
8.5%
5 40
 
7.7%
8 34
 
6.6%
0 32
 
6.2%
6 30
 
5.8%
9 26
 
5.0%
Space Separator
ValueCountFrequency (%)
425
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1427
59.6%
Common 967
40.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 201
14.1%
동 115
 
8.1%
대 110
 
7.7%
시 102
 
7.1%
역 102
 
7.1%
지 102
 
7.1%
광 101
 
7.1%
번 97
 
6.8%
호 90
 
6.3%
서 43
 
3.0%
Other values (87) 364
25.5%
Common
ValueCountFrequency (%)
425
44.0%
1 127
 
13.1%
2 84
 
8.7%
3 52
 
5.4%
4 49
 
5.1%
7 44
 
4.6%
5 40
 
4.1%
8 34
 
3.5%
0 32
 
3.3%
6 30
 
3.1%
Other values (5) 50
 
5.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1427
59.6%
ASCII 968
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
425
43.9%
1 127
 
13.1%
2 84
 
8.7%
3 52
 
5.4%
4 49
 
5.1%
7 44
 
4.5%
5 40
 
4.1%
8 34
 
3.5%
0 32
 
3.3%
6 30
 
3.1%
Other values (6) 51
 
5.3%
Hangul
ValueCountFrequency (%)
구 201
14.1%
동 115
 
8.1%
대 110
 
7.7%
시 102
 
7.1%
역 102
 
7.1%
지 102
 
7.1%
광 101
 
7.1%
번 97
 
6.8%
호 90
 
6.3%
서 43
 
3.0%
Other values (87) 364
25.5%

도로명전체주소
Text

Distinct104
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-11T03:53:10.561051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length27.943396
Min length21

Characters and Unicode

Total characters2962
Distinct characters156
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

Unique102 ?
Unique (%)96.2%

Sample

1st row대구광역시 중구 북성로 106-6 (향촌동)
2nd row대구광역시 중구 명륜로21길 84 (남산동)
3rd row대구광역시 중구 중앙대로79길 13, 평강빌딩동 201호 (남일동, 근린생활시설)
4th row대구광역시 중구 태평로 177 (태평로1가, 태평라이프아파트)
5th row대구광역시 중구 중앙대로79길 13 (남일동)
ValueCountFrequency (%)
대구광역시 106
 
17.4%
달서구 37
 
6.1%
수성구 15
 
2.5%
동구 15
 
2.5%
북구 14
 
2.3%
1층 11
 
1.8%
남구 10
 
1.6%
5층 9
 
1.5%
3층 9
 
1.5%
2층 9
 
1.5%
Other values (247) 374
61.4%
2023-12-11T03:53:11.158172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
503
 
17.0%
구 226
 
7.6%
동 139
 
4.7%
대 138
 
4.7%
시 108
 
3.6%
( 107
 
3.6%
) 107
 
3.6%
역 107
 
3.6%
광 107
 
3.6%
로 104
 
3.5%
Other values (146) 1316
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1704
57.5%
Space Separator 503
 
17.0%
Decimal Number 451
 
15.2%
Open Punctuation 107
 
3.6%
Close Punctuation 107
 
3.6%
Other Punctuation 64
 
2.2%
Dash Punctuation 23
 
0.8%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 226
 
13.3%
동 139
 
8.2%
대 138
 
8.1%
시 108
 
6.3%
역 107
 
6.3%
광 107
 
6.3%
로 104
 
6.1%
서 52
 
3.1%
달 51
 
3.0%
층 49
 
2.9%
Other values (128) 623
36.6%
Decimal Number
ValueCountFrequency (%)
1 96
21.3%
2 69
15.3%
3 56
12.4%
4 44
9.8%
0 40
8.9%
5 39
8.6%
6 34
 
7.5%
8 33
 
7.3%
7 25
 
5.5%
9 15
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
P 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
503
100.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 107
100.0%
Other Punctuation
ValueCountFrequency (%)
, 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1704
57.5%
Common 1255
42.4%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 226
 
13.3%
동 139
 
8.2%
대 138
 
8.1%
시 108
 
6.3%
역 107
 
6.3%
광 107
 
6.3%
로 104
 
6.1%
서 52
 
3.1%
달 51
 
3.0%
층 49
 
2.9%
Other values (128) 623
36.6%
Common
ValueCountFrequency (%)
503
40.1%
( 107
 
8.5%
) 107
 
8.5%
1 96
 
7.6%
2 69
 
5.5%
, 64
 
5.1%
3 56
 
4.5%
4 44
 
3.5%
0 40
 
3.2%
5 39
 
3.1%
Other values (5) 130
 
10.4%
Latin
ValueCountFrequency (%)
K 1
33.3%
P 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1704
57.5%
ASCII 1258
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
503
40.0%
( 107
 
8.5%
) 107
 
8.5%
1 96
 
7.6%
2 69
 
5.5%
, 64
 
5.1%
3 56
 
4.5%
4 44
 
3.5%
0 40
 
3.2%
5 39
 
3.1%
Other values (8) 133
 
10.6%
Hangul
ValueCountFrequency (%)
구 226
 
13.3%
동 139
 
8.2%
대 138
 
8.1%
시 108
 
6.3%
역 107
 
6.3%
광 107
 
6.3%
로 104
 
6.1%
서 52
 
3.1%
달 51
 
3.0%
층 49
 
2.9%
Other values (128) 623
36.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)84.9%
Missing20
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean172908.64
Minimum41036
Maximum706839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T03:53:11.355435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41036
5-th percentile41204.25
Q141810.5
median42457
Q342811.5
95-th percentile704946
Maximum706839
Range665803
Interquartile range (IQR)1001

Descriptive statistics

Standard deviation265041.92
Coefficient of variation (CV)1.5328437
Kurtosis0.39702481
Mean172908.64
Median Absolute Deviation (MAD)522
Skewness1.5453964
Sum14870143
Variance7.0247218 × 1010
MonotonicityNot monotonic
2023-12-11T03:53:11.554273image/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%
41935 2
 
1.9%
41226 2
 
1.9%
42661 2
 
1.9%
42612 2
 
1.9%
704948 2
 
1.9%
41462 2
 
1.9%
42713 2
 
1.9%
Other values (63) 63
59.4%
(Missing) 20
 
18.9%
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

Distinct97
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-11T03:53:11.913672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length7.1320755
Min length1

Characters and Unicode

Total characters756
Distinct characters154
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

Unique88 ?
Unique (%)83.0%

Sample

1st row뉴대구안마시술소
2nd row약손안마원
3rd row허준안마원
4th row약손지압안마원
5th row영광안마원
ValueCountFrequency (%)
약손수기안마원 2
 
1.8%
엠안마시술소 2
 
1.8%
성모지압안마원 2
 
1.8%
밝은세상안마원신천역점 2
 
1.8%
진안마원 2
 
1.8%
상인안마시술소 2
 
1.8%
약손지압안마원 2
 
1.8%
도쿄안마시술소 2
 
1.8%
밝은세상안마원 2
 
1.8%
달구벌안마센터안마원 2
 
1.8%
Other values (91) 91
82.0%
2023-12-11T03:53:12.525239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 103
 
13.6%
안 102
 
13.5%
원 61
 
8.1%
시 48
 
6.3%
술 46
 
6.1%
소 46
 
6.1%
압 14
 
1.9%
지 14
 
1.9%
강 11
 
1.5%
건 9
 
1.2%
Other values (144) 302
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 746
98.7%
Space Separator 5
 
0.7%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 103
 
13.8%
안 102
 
13.7%
원 61
 
8.2%
시 48
 
6.4%
술 46
 
6.2%
소 46
 
6.2%
압 14
 
1.9%
지 14
 
1.9%
강 11
 
1.5%
건 9
 
1.2%
Other values (140) 292
39.1%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 746
98.7%
Common 9
 
1.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 103
 
13.8%
안 102
 
13.7%
원 61
 
8.2%
시 48
 
6.4%
술 46
 
6.2%
소 46
 
6.2%
압 14
 
1.9%
지 14
 
1.9%
강 11
 
1.5%
건 9
 
1.2%
Other values (140) 292
39.1%
Common
ValueCountFrequency (%)
5
55.6%
( 2
 
22.2%
) 2
 
22.2%
Latin
ValueCountFrequency (%)
s 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 746
98.7%
ASCII 10
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 103
 
13.8%
안 102
 
13.7%
원 61
 
8.2%
시 48
 
6.4%
술 46
 
6.2%
소 46
 
6.2%
압 14
 
1.9%
지 14
 
1.9%
강 11
 
1.5%
건 9
 
1.2%
Other values (140) 292
39.1%
ASCII
ValueCountFrequency (%)
5
50.0%
( 2
 
20.0%
) 2
 
20.0%
s 1
 
10.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct106
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0162229 × 1013
Minimum2.0090122 × 1013
Maximum2.0210513 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T03:53:12.763856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0090122 × 1013
5-th percentile2.0090811 × 1013
Q12.0130764 × 1013
median2.0171125 × 1013
Q32.0190967 × 1013
95-th percentile2.0201022 × 1013
Maximum2.0210513 × 1013
Range1.2039106 × 1011
Interquartile range (IQR)6.02027 × 1010

Descriptive statistics

Standard deviation3.6661272 × 1010
Coefficient of variation (CV)0.0018183144
Kurtosis-0.94907298
Mean2.0162229 × 1013
Median Absolute Deviation (MAD)2.9343513 × 1010
Skewness-0.58249053
Sum2.1371963 × 1015
Variance1.3440488 × 1021
MonotonicityNot monotonic
2023-12-11T03:53:13.038742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090616134350 1
 
0.9%
20111102113506 1
 
0.9%
20091207172631 1
 
0.9%
20090122114622 1
 
0.9%
20181022171354 1
 
0.9%
20140710142029 1
 
0.9%
20210513172805 1
 
0.9%
20150122133912 1
 
0.9%
20180409171429 1
 
0.9%
20111223171547 1
 
0.9%
Other values (96) 96
90.6%
ValueCountFrequency (%)
20090122114622 1
0.9%
20090219154631 1
0.9%
20090608133316 1
0.9%
20090616134350 1
0.9%
20090622111551 1
0.9%
20090706160206 1
0.9%
20091126171014 1
0.9%
20091207172631 1
0.9%
20101025163234 1
0.9%
20101229141540 1
0.9%
ValueCountFrequency (%)
20210513172805 1
0.9%
20210325093705 1
0.9%
20210121091718 1
0.9%
20210115152433 1
0.9%
20201208170228 1
0.9%
20201023171401 1
0.9%
20201019100351 1
0.9%
20201007103336 1
0.9%
20200915143746 1
0.9%
20200915112823 1
0.9%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
I
71 
U
35 

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 71
67.0%
U 35
33.0%

Length

2023-12-11T03:53:13.257055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:53:13.443443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 71
67.0%
u 35
33.0%

데이터갱신일자
Date

Distinct45
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Memory size980.0 B
Minimum2018-08-31 23:59:59
Maximum2021-05-15 02:40:00
2023-12-11T03:53:13.605262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:53:13.824301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

업태구분명
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
안마원
57 
안마시술소
49 

Length

Max length5
Median length3
Mean length3.9245283
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안마원 57
53.8%
안마시술소 49
46.2%

Length

2023-12-11T03:53:14.027863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:53:14.202503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안마원 57
53.8%
안마시술소 49
46.2%

좌표정보(X)
Real number (ℝ)

Distinct99
Distinct (%)94.3%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean342257.1
Minimum330472.77
Maximum353999.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T03:53:14.387409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330472.77
5-th percentile334559.64
Q1339393.01
median341936.77
Q3346116.31
95-th percentile348436.66
Maximum353999.55
Range23526.777
Interquartile range (IQR)6723.2968

Descriptive statistics

Standard deviation4666.2682
Coefficient of variation (CV)0.01363381
Kurtosis-0.056334089
Mean342257.1
Median Absolute Deviation (MAD)3188.0062
Skewness0.031892962
Sum35936995
Variance21774059
MonotonicityNot monotonic
2023-12-11T03:53:14.640666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
346183.075894 3
 
2.8%
339608.217909 2
 
1.9%
343780.389658 2
 
1.9%
334336.619603 2
 
1.9%
335948.027345 2
 
1.9%
347745.764729 1
 
0.9%
334570.908256 1
 
0.9%
340791.093941 1
 
0.9%
338749.140059 1
 
0.9%
337673.290973 1
 
0.9%
Other values (89) 89
84.0%
ValueCountFrequency (%)
330472.771478 1
0.9%
331904.0 1
0.9%
333384.54498 1
0.9%
334336.619603 2
1.9%
334556.819846 1
0.9%
334570.908256 1
0.9%
334612.020256 1
0.9%
335894.398545 1
0.9%
335913.906004 1
0.9%
335921.019181 1
0.9%
ValueCountFrequency (%)
353999.548196 1
0.9%
353283.817833 1
0.9%
352879.759294 1
0.9%
352448.45021 1
0.9%
350365.801919 1
0.9%
348533.907955 1
0.9%
348047.673813 1
0.9%
348044.250978 1
0.9%
347745.764729 1
0.9%
347517.490032 1
0.9%

좌표정보(Y)
Real number (ℝ)

Distinct99
Distinct (%)94.3%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean263002.43
Minimum244538
Maximum272532.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T03:53:14.868529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244538
5-th percentile258018.36
Q1261191.35
median262666.76
Q3265139.91
95-th percentile270277.29
Maximum272532.5
Range27994.497
Interquartile range (IQR)3948.5582

Descriptive statistics

Standard deviation4176.7117
Coefficient of variation (CV)0.015880886
Kurtosis5.8677759
Mean263002.43
Median Absolute Deviation (MAD)1953.6421
Skewness-1.0722361
Sum27615255
Variance17444921
MonotonicityNot monotonic
2023-12-11T03:53:15.084099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265851.019832 3
 
2.8%
258018.357722 2
 
1.9%
264381.007106 2
 
1.9%
261291.212787 2
 
1.9%
262530.582893 2
 
1.9%
263001.201146 1
 
0.9%
260706.122193 1
 
0.9%
262868.287419 1
 
0.9%
261124.254559 1
 
0.9%
258263.963135 1
 
0.9%
Other values (89) 89
84.0%
ValueCountFrequency (%)
244538.0 1
0.9%
245132.142998 1
0.9%
257501.802331 1
0.9%
257537.257373 1
0.9%
257936.142748 1
0.9%
258018.357722 2
1.9%
258263.963135 1
0.9%
258301.955194 1
0.9%
258572.019826 1
0.9%
259247.801327 1
0.9%
ValueCountFrequency (%)
272532.497122 1
0.9%
272489.775107 1
0.9%
272478.947343 1
0.9%
271660.604411 1
0.9%
270555.90877 1
0.9%
270554.290764 1
0.9%
269169.287621 1
0.9%
269002.509521 1
0.9%
268689.869779 1
0.9%
268307.145144 1
0.9%

의료유사업종별명
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
안마원
57 
안마시술소
49 

Length

Max length5
Median length3
Mean length3.9245283
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안마원 57
53.8%
안마시술소 49
46.2%

Length

2023-12-11T03:53:15.673810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:53:15.845938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안마원 57
53.8%
안마시술소 49
46.2%

종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)10.2%
Missing8
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.9489796
Minimum0
Maximum95
Zeros5
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T03:53:16.000187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.85
Q11
median2
Q32
95-th percentile4.15
Maximum95
Range95
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.5230295
Coefficient of variation (CV)3.2292626
Kurtosis92.655442
Mean2.9489796
Median Absolute Deviation (MAD)1
Skewness9.5085559
Sum289
Variance90.688092
MonotonicityNot monotonic
2023-12-11T03:53:16.164940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 39
36.8%
1 33
31.1%
3 13
 
12.3%
0 5
 
4.7%
4 3
 
2.8%
10 1
 
0.9%
9 1
 
0.9%
5 1
 
0.9%
95 1
 
0.9%
8 1
 
0.9%
(Missing) 8
 
7.5%
ValueCountFrequency (%)
0 5
 
4.7%
1 33
31.1%
2 39
36.8%
3 13
 
12.3%
4 3
 
2.8%
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 3
 
2.8%
3 13
 
12.3%
2 39
36.8%
1 33
31.1%
0 5
 
4.7%

자격증소유자수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

보조종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

시설관리자수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

기타종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

병상수
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)31.9%
Missing34
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean10.055556
Minimum0
Maximum133
Zeros3
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T03:53:16.341175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median8.5
Q312
95-th percentile19.45
Maximum133
Range133
Interquartile range (IQR)9

Descriptive statistics

Standard deviation15.78722
Coefficient of variation (CV)1.5699998
Kurtosis53.290979
Mean10.055556
Median Absolute Deviation (MAD)4.5
Skewness6.8173395
Sum724
Variance249.23631
MonotonicityNot monotonic
2023-12-11T03:53:16.545505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 9
 
8.5%
10 8
 
7.5%
8 6
 
5.7%
12 6
 
5.7%
13 5
 
4.7%
3 4
 
3.8%
9 4
 
3.8%
5 4
 
3.8%
2 4
 
3.8%
7 3
 
2.8%
Other values (13) 19
17.9%
(Missing) 34
32.1%
ValueCountFrequency (%)
0 3
 
2.8%
1 9
8.5%
2 4
3.8%
3 4
3.8%
4 2
 
1.9%
5 4
3.8%
6 1
 
0.9%
7 3
 
2.8%
8 6
5.7%
9 4
3.8%
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
4.7%

욕실면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size980.0 B
<NA>
94 
0.0
 
9
37.0
 
1
8.5
 
1
808.08
 
1

Length

Max length6
Median length4
Mean length3.9245283
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> 94
88.7%
0.0 9
 
8.5%
37.0 1
 
0.9%
8.5 1
 
0.9%
808.08 1
 
0.9%

Length

2023-12-11T03:53:16.761989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:53:16.939447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 94
88.7%
0.0 9
 
8.5%
37.0 1
 
0.9%
8.5 1
 
0.9%
808.08 1
 
0.9%

총면적
Real number (ℝ)

Distinct100
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2778.5215
Minimum1
Maximum269055
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T03:53:17.145811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile32.2225
Q186.295
median186.565
Q3346.6175
95-th percentile676.535
Maximum269055
Range269054
Interquartile range (IQR)260.3225

Descriptive statistics

Standard deviation26110.083
Coefficient of variation (CV)9.3971139
Kurtosis105.98813
Mean2778.5215
Median Absolute Deviation (MAD)117.815
Skewness10.294774
Sum294523.28
Variance6.8173644 × 108
MonotonicityNot monotonic
2023-12-11T03:53:17.390560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
296.4 3
 
2.8%
154.77 2
 
1.9%
60.0 2
 
1.9%
285.64 2
 
1.9%
167.39 2
 
1.9%
768.0 1
 
0.9%
328.18 1
 
0.9%
472.73 1
 
0.9%
251.0 1
 
0.9%
245.0 1
 
0.9%
Other values (90) 90
84.9%
ValueCountFrequency (%)
1.0 1
0.9%
21.0 1
0.9%
22.1 1
0.9%
23.0 1
0.9%
25.0 1
0.9%
32.13 1
0.9%
32.5 1
0.9%
36.12 1
0.9%
38.0 1
0.9%
44.0 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

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료유사업종별명종업원수자격증소유자수보조종업원수시설관리자수기타종업원수병상수욕실면적총면적
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_P3410000PHMB42015341002304240000120151216<NA>1영업/정상13영업중<NA><NA><NA><NA>053-254-7579<NA><NA><NA>대구광역시 중구 중앙대로79길 13, 평강빌딩동 201호 (남일동, 근린생활시설)41935허준안마원20151223112734I2018-08-31 23:59:59.0안마원343780.389658264381.007106안마원<NA><NA><NA><NA><NA><NA><NA>25.0
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 23:59:59.0안마원344204.522469265028.313376안마원<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_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
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
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료유사업종별명종업원수자격증소유자수보조종업원수시설관리자수기타종업원수병상수욕실면적총면적
9697의료유사업01_01_10_P3470000PHMB42014347002204240000120140619<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 월성동 275번지 2호 건도파라다이스대구광역시 달서구 월성로 20, 건도파라다이스 3층 303-2호 (월성동)42728뉴몸튼튼안마원20200403161514U2020-04-05 02:40:00.0안마원338479.420697260129.516102안마원4<NA><NA><NA><NA>3<NA>115.7
9798의료유사업01_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
9899의료유사업01_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 02:40:00.0안마원338100.425484262708.176114안마원3<NA><NA><NA><NA><NA><NA>174.9
99100의료유사업01_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
100101의료유사업01_01_10_P3470000PHMB42018347002204240000120180824<NA>1영업/정상13영업중<NA><NA><NA><NA>0535562224<NA><NA>대구광역시 달서구 송현동 1944-11대구광역시 달서구 월배로 322, PK빌딩 5층 (송현동)42824성모지압안마원20200915112823U2020-09-17 02:40:00.0안마원339473.506737259413.215098안마원1<NA><NA><NA><NA><NA><NA>105.0
101102의료유사업01_01_10_P3470000PHMB42020347002204240000120200910<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 송현동 1979-17대구광역시 달서구 월배로80길 66, 1층 (송현동)42821진안마원20200915112247I2020-09-17 00:23:12.0안마원340336.994035259768.390556안마원0<NA><NA><NA><NA><NA><NA>23.0
102103의료유사업01_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 00:23:19.0안마원<NA><NA>안마원4<NA><NA><NA><NA>80.0184.37
103104의료유사업01_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
104105의료유사업01_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
105106의료유사업01_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 02:21:37.0안마원331904.0244538.0안마원1<NA><NA><NA><NA><NA><NA>101.33