Overview

Dataset statistics

Number of variables30
Number of observations2745
Missing cells20406
Missing cells (%)24.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory694.4 KiB
Average record size in memory259.0 B

Variable types

Numeric11
Categorical7
Text5
Unsupported6
DateTime1

Dataset

Description6270000_대구광역시_01_01_06_P_약국_10월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000091672&dataSetDetailId=DDI_0000091689&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
인허가취소일자 has 2745 (100.0%) missing valuesMissing
폐업일자 has 1299 (47.3%) missing valuesMissing
휴업시작일자 has 2745 (100.0%) missing valuesMissing
휴업종료일자 has 2745 (100.0%) missing valuesMissing
재개업일자 has 2745 (100.0%) missing valuesMissing
소재지전화 has 148 (5.4%) missing valuesMissing
소재지면적 has 2745 (100.0%) missing valuesMissing
소재지우편번호 has 913 (33.3%) missing valuesMissing
소재지전체주소 has 111 (4.0%) missing valuesMissing
도로명전체주소 has 292 (10.6%) missing valuesMissing
도로명우편번호 has 559 (20.4%) missing valuesMissing
업태구분명 has 2745 (100.0%) missing valuesMissing
좌표정보(X) has 306 (11.1%) missing valuesMissing
좌표정보(Y) has 306 (11.1%) missing valuesMissing
약국영업면적 is highly skewed (γ1 = 45.11760455)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
약국영업면적 has 97 (3.5%) zerosZeros

Reproduction

Analysis started2023-12-10 18:59:05.010485
Analysis finished2023-12-10 18:59:06.533713
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2745
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1373
Minimum1
Maximum2745
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T03:59:06.700457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile138.2
Q1687
median1373
Q32059
95-th percentile2607.8
Maximum2745
Range2744
Interquartile range (IQR)1372

Descriptive statistics

Standard deviation792.55757
Coefficient of variation (CV)0.57724513
Kurtosis-1.2
Mean1373
Median Absolute Deviation (MAD)686
Skewness0
Sum3768885
Variance628147.5
MonotonicityStrictly increasing
2023-12-11T03:59:06.925431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1834 1
 
< 0.1%
1826 1
 
< 0.1%
1827 1
 
< 0.1%
1828 1
 
< 0.1%
1829 1
 
< 0.1%
1830 1
 
< 0.1%
1831 1
 
< 0.1%
1832 1
 
< 0.1%
1833 1
 
< 0.1%
Other values (2735) 2735
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2745 1
< 0.1%
2744 1
< 0.1%
2743 1
< 0.1%
2742 1
< 0.1%
2741 1
< 0.1%
2740 1
< 0.1%
2739 1
< 0.1%
2738 1
< 0.1%
2737 1
< 0.1%
2736 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
약국
2745 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
약국 2745
100.0%

Length

2023-12-11T03:59:07.122526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:07.267616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
약국 2745
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
01_01_06_P
2745 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_01_06_P
2nd row01_01_06_P
3rd row01_01_06_P
4th row01_01_06_P
5th row01_01_06_P

Common Values

ValueCountFrequency (%)
01_01_06_P 2745
100.0%

Length

2023-12-11T03:59:07.430542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:07.598912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_06_p 2745
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446484.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T03:59:07.750268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21877.738
Coefficient of variation (CV)0.0063478417
Kurtosis-1.1743534
Mean3446484.5
Median Absolute Deviation (MAD)20000
Skewness-0.26797473
Sum9.4606 × 109
Variance4.7863542 × 108
MonotonicityIncreasing
2023-12-11T03:59:07.956486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 531
19.3%
3450000 479
17.4%
3460000 415
15.1%
3420000 341
12.4%
3410000 311
11.3%
3430000 247
9.0%
3440000 236
8.6%
3480000 185
 
6.7%
ValueCountFrequency (%)
3410000 311
11.3%
3420000 341
12.4%
3430000 247
9.0%
3440000 236
8.6%
3450000 479
17.4%
3460000 415
15.1%
3470000 531
19.3%
3480000 185
 
6.7%
ValueCountFrequency (%)
3480000 185
 
6.7%
3470000 531
19.3%
3460000 415
15.1%
3450000 479
17.4%
3440000 236
8.6%
3430000 247
9.0%
3420000 341
12.4%
3410000 311
11.3%

관리번호
Text

UNIQUE 

Distinct2745
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
2023-12-11T03:59:08.321654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters68625
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

Unique2745 ?
Unique (%)100.0%

Sample

1st rowPHMD119843410023084000001
2nd rowPHMD119853410023084000001
3rd rowPHMD119963410023084000001
4th rowPHMD119973410023084000001
5th rowPHMD120003410023084000002
ValueCountFrequency (%)
phmd119843410023084000001 1
 
< 0.1%
phmd120193460023084000015 1
 
< 0.1%
phmd120173460023084000001 1
 
< 0.1%
phmd120103460023084000015 1
 
< 0.1%
phmd120173460023084000003 1
 
< 0.1%
phmd120173460023084000004 1
 
< 0.1%
phmd120173460023084000006 1
 
< 0.1%
phmd120173460023084000010 1
 
< 0.1%
phmd120193460023084000005 1
 
< 0.1%
phmd120193460023084000010 1
 
< 0.1%
Other values (2735) 2735
99.6%
2023-12-11T03:59:08.970480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 24824
36.2%
2 7153
 
10.4%
1 6712
 
9.8%
4 6468
 
9.4%
3 4644
 
6.8%
8 3597
 
5.2%
P 2745
 
4.0%
H 2745
 
4.0%
M 2745
 
4.0%
D 2745
 
4.0%
Other values (4) 4247
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 57645
84.0%
Uppercase Letter 10980
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24824
43.1%
2 7153
 
12.4%
1 6712
 
11.6%
4 6468
 
11.2%
3 4644
 
8.1%
8 3597
 
6.2%
9 1206
 
2.1%
7 1135
 
2.0%
5 983
 
1.7%
6 923
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
P 2745
25.0%
H 2745
25.0%
M 2745
25.0%
D 2745
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 57645
84.0%
Latin 10980
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 24824
43.1%
2 7153
 
12.4%
1 6712
 
11.6%
4 6468
 
11.2%
3 4644
 
8.1%
8 3597
 
6.2%
9 1206
 
2.1%
7 1135
 
2.0%
5 983
 
1.7%
6 923
 
1.6%
Latin
ValueCountFrequency (%)
P 2745
25.0%
H 2745
25.0%
M 2745
25.0%
D 2745
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68625
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 24824
36.2%
2 7153
 
10.4%
1 6712
 
9.8%
4 6468
 
9.4%
3 4644
 
6.8%
8 3597
 
5.2%
P 2745
 
4.0%
H 2745
 
4.0%
M 2745
 
4.0%
D 2745
 
4.0%
Other values (4) 4247
 
6.2%

인허가일자
Real number (ℝ)

Distinct2075
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20076939
Minimum18841129
Maximum20210928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T03:59:09.219343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18841129
5-th percentile19813068
Q120041025
median20100531
Q320150701
95-th percentile20190730
Maximum20210928
Range1369799
Interquartile range (IQR)109676

Descriptive statistics

Standard deviation110304.61
Coefficient of variation (CV)0.0054940948
Kurtosis8.4155087
Mean20076939
Median Absolute Deviation (MAD)50303
Skewness-2.1102085
Sum5.5111198 × 1010
Variance1.2167106 × 1010
MonotonicityNot monotonic
2023-12-11T03:59:09.494748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000801 7
 
0.3%
20180702 6
 
0.2%
20190102 6
 
0.2%
20140102 6
 
0.2%
20160901 5
 
0.2%
20150518 5
 
0.2%
20170801 5
 
0.2%
20180102 5
 
0.2%
20140901 5
 
0.2%
20100302 5
 
0.2%
Other values (2065) 2690
98.0%
ValueCountFrequency (%)
18841129 1
< 0.1%
19590406 1
< 0.1%
19610818 1
< 0.1%
19611027 1
< 0.1%
19630611 1
< 0.1%
19630615 1
< 0.1%
19640115 1
< 0.1%
19650129 1
< 0.1%
19650309 2
0.1%
19650720 1
< 0.1%
ValueCountFrequency (%)
20210928 1
< 0.1%
20210917 1
< 0.1%
20210906 1
< 0.1%
20210902 1
< 0.1%
20210824 1
< 0.1%
20210812 1
< 0.1%
20210803 1
< 0.1%
20210802 1
< 0.1%
20210722 1
< 0.1%
20210713 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2745
Missing (%)100.0%
Memory size24.3 KiB
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
3
1440 
1
1299 
4
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1440
52.5%
1 1299
47.3%
4 6
 
0.2%

Length

2023-12-11T03:59:09.756256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:09.932753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1440
52.5%
1 1299
47.3%
4 6
 
0.2%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
폐업
1440 
영업/정상
1299 
취소/말소/만료/정지/중지
 
6

Length

Max length14
Median length2
Mean length3.4459016
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1440
52.5%
영업/정상 1299
47.3%
취소/말소/만료/정지/중지 6
 
0.2%

Length

2023-12-11T03:59:10.111989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:10.271412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1440
52.5%
영업/정상 1299
47.3%
취소/말소/만료/정지/중지 6
 
0.2%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
3
1440 
13
1299 
24
 
6

Length

Max length2
Median length1
Mean length1.4754098
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1440
52.5%
13 1299
47.3%
24 6
 
0.2%

Length

2023-12-11T03:59:10.431739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:10.594340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1440
52.5%
13 1299
47.3%
24 6
 
0.2%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
폐업
1440 
영업중
1299 
직권폐업
 
6

Length

Max length4
Median length2
Mean length2.4775956
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1440
52.5%
영업중 1299
47.3%
직권폐업 6
 
0.2%

Length

2023-12-11T03:59:10.830356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:11.037853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1440
52.5%
영업중 1299
47.3%
직권폐업 6
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct1022
Distinct (%)70.7%
Missing1299
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean20138452
Minimum20070514
Maximum20210930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T03:59:11.220528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070514
5-th percentile20090302
Q120110402
median20131206
Q320170320
95-th percentile20197880
Maximum20210930
Range140416
Interquartile range (IQR)59918

Descriptive statistics

Standard deviation35056.878
Coefficient of variation (CV)0.0017407931
Kurtosis-1.0408173
Mean20138452
Median Absolute Deviation (MAD)29807
Skewness0.21172612
Sum2.9120201 × 1010
Variance1.2289847 × 109
MonotonicityNot monotonic
2023-12-11T03:59:11.455774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130603 6
 
0.2%
20180702 6
 
0.2%
20190701 5
 
0.2%
20090501 5
 
0.2%
20160104 5
 
0.2%
20110801 5
 
0.2%
20081201 5
 
0.2%
20160901 5
 
0.2%
20150302 5
 
0.2%
20131231 5
 
0.2%
Other values (1012) 1394
50.8%
(Missing) 1299
47.3%
ValueCountFrequency (%)
20070514 1
< 0.1%
20070903 1
< 0.1%
20080701 1
< 0.1%
20080801 1
< 0.1%
20080916 1
< 0.1%
20081001 1
< 0.1%
20081006 2
0.1%
20081007 1
< 0.1%
20081008 1
< 0.1%
20081020 1
< 0.1%
ValueCountFrequency (%)
20210930 1
< 0.1%
20210911 1
< 0.1%
20210906 1
< 0.1%
20210901 1
< 0.1%
20210802 2
0.1%
20210731 1
< 0.1%
20210715 1
< 0.1%
20210701 1
< 0.1%
20210618 1
< 0.1%
20210529 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2745
Missing (%)100.0%
Memory size24.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2745
Missing (%)100.0%
Memory size24.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2745
Missing (%)100.0%
Memory size24.3 KiB

소재지전화
Text

MISSING 

Distinct2114
Distinct (%)81.4%
Missing148
Missing (%)5.4%
Memory size21.6 KiB
2023-12-11T03:59:11.936700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.816712
Min length3

Characters and Unicode

Total characters28091
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1742 ?
Unique (%)67.1%

Sample

1st row053-423-5989
2nd row053-422-4423
3rd row053-422-4993
4th row053-425-4641
5th row053-424-5995
ValueCountFrequency (%)
425-5599 8
 
0.3%
326-0246 5
 
0.2%
053-651-6267 5
 
0.2%
752-3771 4
 
0.2%
321-3030 4
 
0.2%
324-8784 4
 
0.2%
053-636-2103 4
 
0.2%
053-476-7926 4
 
0.2%
053-624-2271 4
 
0.2%
053-651-5332 4
 
0.2%
Other values (2104) 2551
98.2%
2023-12-11T03:59:12.683567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 4523
16.1%
- 4222
15.0%
3 3838
13.7%
0 3298
11.7%
2 2279
8.1%
6 2027
7.2%
7 1851
6.6%
1 1646
 
5.9%
4 1579
 
5.6%
8 1406
 
5.0%
Other values (3) 1422
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23774
84.6%
Dash Punctuation 4222
 
15.0%
Close Punctuation 94
 
0.3%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 4523
19.0%
3 3838
16.1%
0 3298
13.9%
2 2279
9.6%
6 2027
8.5%
7 1851
7.8%
1 1646
 
6.9%
4 1579
 
6.6%
8 1406
 
5.9%
9 1327
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 4222
100.0%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28091
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 4523
16.1%
- 4222
15.0%
3 3838
13.7%
0 3298
11.7%
2 2279
8.1%
6 2027
7.2%
7 1851
6.6%
1 1646
 
5.9%
4 1579
 
5.6%
8 1406
 
5.0%
Other values (3) 1422
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28091
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 4523
16.1%
- 4222
15.0%
3 3838
13.7%
0 3298
11.7%
2 2279
8.1%
6 2027
7.2%
7 1851
6.6%
1 1646
 
5.9%
4 1579
 
5.6%
8 1406
 
5.0%
Other values (3) 1422
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2745
Missing (%)100.0%
Memory size24.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct471
Distinct (%)25.7%
Missing913
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean655435.85
Minimum7020
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T03:59:12.926028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7020
5-th percentile7028
Q1701847.75
median704802.5
Q3705801
95-th percentile711812
Maximum711891
Range704871
Interquartile range (IQR)3953.25

Descriptive statistics

Standard deviation178321.45
Coefficient of variation (CV)0.27206546
Kurtosis9.3056527
Mean655435.85
Median Absolute Deviation (MAD)1789.5
Skewness-3.3602494
Sum1.2007585 × 109
Variance3.179854 × 1010
MonotonicityNot monotonic
2023-12-11T03:59:13.167754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7028 108
 
3.9%
706170 34
 
1.2%
704834 24
 
0.9%
704820 22
 
0.8%
704803 21
 
0.8%
711812 17
 
0.6%
704808 16
 
0.6%
706050 16
 
0.6%
701847 15
 
0.5%
703808 15
 
0.5%
Other values (461) 1544
56.2%
(Missing) 913
33.3%
ValueCountFrequency (%)
7020 11
 
0.4%
7021 1
 
< 0.1%
7022 5
 
0.2%
7028 108
3.9%
7029 2
 
0.1%
42764 1
 
< 0.1%
70207 1
 
< 0.1%
700070 3
 
0.1%
700082 4
 
0.1%
700092 3
 
0.1%
ValueCountFrequency (%)
711891 1
 
< 0.1%
711890 1
 
< 0.1%
711882 1
 
< 0.1%
711880 1
 
< 0.1%
711874 13
0.5%
711870 9
0.3%
711865 1
 
< 0.1%
711860 2
 
0.1%
711857 3
 
0.1%
711854 1
 
< 0.1%

소재지전체주소
Text

MISSING 

Distinct2305
Distinct (%)87.5%
Missing111
Missing (%)4.0%
Memory size21.6 KiB
2023-12-11T03:59:13.838825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length22.714123
Min length12

Characters and Unicode

Total characters59829
Distinct characters315
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2062 ?
Unique (%)78.3%

Sample

1st row대구광역시 중구 공평동82-2
2nd row대구광역시 중구 삼덕2가105-1
3rd row대구광역시 중구 동인동4가 315번지
4th row대구광역시 중구 삼덕2가213-3
5th row대구광역시 중구 동인3가229-6
ValueCountFrequency (%)
대구광역시 2630
 
20.5%
달서구 520
 
4.1%
북구 475
 
3.7%
수성구 377
 
2.9%
동구 325
 
2.5%
중구 300
 
2.3%
1호 255
 
2.0%
서구 242
 
1.9%
남구 233
 
1.8%
1층 220
 
1.7%
Other values (2358) 7223
56.4%
2023-12-11T03:59:14.739570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10195
17.0%
5153
 
8.6%
1 3282
 
5.5%
2961
 
4.9%
2934
 
4.9%
2677
 
4.5%
2653
 
4.4%
2639
 
4.4%
1877
 
3.1%
2 1819
 
3.0%
Other values (305) 23639
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35219
58.9%
Decimal Number 13293
 
22.2%
Space Separator 10195
 
17.0%
Dash Punctuation 828
 
1.4%
Other Punctuation 97
 
0.2%
Open Punctuation 63
 
0.1%
Close Punctuation 63
 
0.1%
Uppercase Letter 49
 
0.1%
Lowercase Letter 11
 
< 0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5153
14.6%
2961
 
8.4%
2934
 
8.3%
2677
 
7.6%
2653
 
7.5%
2639
 
7.5%
1877
 
5.3%
1698
 
4.8%
1602
 
4.5%
844
 
2.4%
Other values (261) 10181
28.9%
Uppercase Letter
ValueCountFrequency (%)
A 15
30.6%
B 14
28.6%
C 4
 
8.2%
L 2
 
4.1%
E 2
 
4.1%
P 2
 
4.1%
H 2
 
4.1%
G 1
 
2.0%
T 1
 
2.0%
N 1
 
2.0%
Other values (5) 5
 
10.2%
Decimal Number
ValueCountFrequency (%)
1 3282
24.7%
2 1819
13.7%
3 1464
11.0%
4 1157
 
8.7%
0 1147
 
8.6%
5 1071
 
8.1%
6 934
 
7.0%
7 891
 
6.7%
9 775
 
5.8%
8 753
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
36.4%
c 1
 
9.1%
s 1
 
9.1%
u 1
 
9.1%
l 1
 
9.1%
p 1
 
9.1%
m 1
 
9.1%
o 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 47
48.5%
, 33
34.0%
/ 17
 
17.5%
Math Symbol
ValueCountFrequency (%)
> 4
40.0%
< 4
40.0%
~ 2
20.0%
Space Separator
ValueCountFrequency (%)
10195
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 828
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35219
58.9%
Common 24550
41.0%
Latin 60
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5153
14.6%
2961
 
8.4%
2934
 
8.3%
2677
 
7.6%
2653
 
7.5%
2639
 
7.5%
1877
 
5.3%
1698
 
4.8%
1602
 
4.5%
844
 
2.4%
Other values (261) 10181
28.9%
Latin
ValueCountFrequency (%)
A 15
25.0%
B 14
23.3%
C 4
 
6.7%
e 4
 
6.7%
L 2
 
3.3%
E 2
 
3.3%
P 2
 
3.3%
H 2
 
3.3%
c 1
 
1.7%
G 1
 
1.7%
Other values (13) 13
21.7%
Common
ValueCountFrequency (%)
10195
41.5%
1 3282
 
13.4%
2 1819
 
7.4%
3 1464
 
6.0%
4 1157
 
4.7%
0 1147
 
4.7%
5 1071
 
4.4%
6 934
 
3.8%
7 891
 
3.6%
- 828
 
3.4%
Other values (11) 1762
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35219
58.9%
ASCII 24610
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10195
41.4%
1 3282
 
13.3%
2 1819
 
7.4%
3 1464
 
5.9%
4 1157
 
4.7%
0 1147
 
4.7%
5 1071
 
4.4%
6 934
 
3.8%
7 891
 
3.6%
- 828
 
3.4%
Other values (34) 1822
 
7.4%
Hangul
ValueCountFrequency (%)
5153
14.6%
2961
 
8.4%
2934
 
8.3%
2677
 
7.6%
2653
 
7.5%
2639
 
7.5%
1877
 
5.3%
1698
 
4.8%
1602
 
4.5%
844
 
2.4%
Other values (261) 10181
28.9%

도로명전체주소
Text

MISSING 

Distinct1999
Distinct (%)81.5%
Missing292
Missing (%)10.6%
Memory size21.6 KiB
2023-12-11T03:59:15.469012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length52
Mean length26.836527
Min length19

Characters and Unicode

Total characters65830
Distinct characters349
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1672 ?
Unique (%)68.2%

Sample

1st row대구광역시 중구 동성로4길 111 (공평동)
2nd row대구광역시 중구 동덕로 127 (삼덕동2가)
3rd row대구광역시 중구 국채보상로 716 (동인동4가)
4th row대구광역시 중구 동덕로 119 (삼덕동2가)
5th row대구광역시 중구 국채보상로149길 55 (동인동3가)
ValueCountFrequency (%)
대구광역시 2453
 
17.8%
1층 538
 
3.9%
달서구 459
 
3.3%
북구 420
 
3.1%
수성구 359
 
2.6%
동구 341
 
2.5%
달구벌대로 262
 
1.9%
중구 261
 
1.9%
남구 234
 
1.7%
서구 214
 
1.6%
Other values (1783) 8209
59.7%
2023-12-11T03:59:16.304062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11332
17.2%
5172
 
7.9%
3343
 
5.1%
3150
 
4.8%
1 2603
 
4.0%
2542
 
3.9%
2486
 
3.8%
2459
 
3.7%
2444
 
3.7%
) 2315
 
3.5%
Other values (339) 27984
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38492
58.5%
Space Separator 11332
 
17.2%
Decimal Number 9850
 
15.0%
Close Punctuation 2315
 
3.5%
Open Punctuation 2315
 
3.5%
Other Punctuation 1184
 
1.8%
Dash Punctuation 233
 
0.4%
Uppercase Letter 79
 
0.1%
Lowercase Letter 22
 
< 0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5172
 
13.4%
3343
 
8.7%
3150
 
8.2%
2542
 
6.6%
2486
 
6.5%
2459
 
6.4%
2444
 
6.3%
1003
 
2.6%
925
 
2.4%
844
 
2.2%
Other values (292) 14124
36.7%
Uppercase Letter
ValueCountFrequency (%)
A 17
21.5%
B 17
21.5%
W 9
11.4%
C 7
8.9%
M 4
 
5.1%
E 4
 
5.1%
H 4
 
5.1%
K 3
 
3.8%
R 2
 
2.5%
N 2
 
2.5%
Other values (7) 10
12.7%
Decimal Number
ValueCountFrequency (%)
1 2603
26.4%
2 1482
15.0%
3 1000
 
10.2%
0 985
 
10.0%
4 804
 
8.2%
5 693
 
7.0%
6 632
 
6.4%
8 561
 
5.7%
7 555
 
5.6%
9 535
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 5
22.7%
w 3
13.6%
m 3
13.6%
s 2
 
9.1%
l 2
 
9.1%
u 2
 
9.1%
p 2
 
9.1%
o 2
 
9.1%
g 1
 
4.5%
Math Symbol
ValueCountFrequency (%)
< 3
37.5%
> 3
37.5%
+ 1
 
12.5%
~ 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 1174
99.2%
/ 9
 
0.8%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
11332
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2315
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2315
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 233
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38492
58.5%
Common 27237
41.4%
Latin 101
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5172
 
13.4%
3343
 
8.7%
3150
 
8.2%
2542
 
6.6%
2486
 
6.5%
2459
 
6.4%
2444
 
6.3%
1003
 
2.6%
925
 
2.4%
844
 
2.2%
Other values (292) 14124
36.7%
Latin
ValueCountFrequency (%)
A 17
16.8%
B 17
16.8%
W 9
 
8.9%
C 7
 
6.9%
e 5
 
5.0%
M 4
 
4.0%
E 4
 
4.0%
H 4
 
4.0%
w 3
 
3.0%
K 3
 
3.0%
Other values (16) 28
27.7%
Common
ValueCountFrequency (%)
11332
41.6%
1 2603
 
9.6%
) 2315
 
8.5%
( 2315
 
8.5%
2 1482
 
5.4%
, 1174
 
4.3%
3 1000
 
3.7%
0 985
 
3.6%
4 804
 
3.0%
5 693
 
2.5%
Other values (11) 2534
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38492
58.5%
ASCII 27338
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11332
41.5%
1 2603
 
9.5%
) 2315
 
8.5%
( 2315
 
8.5%
2 1482
 
5.4%
, 1174
 
4.3%
3 1000
 
3.7%
0 985
 
3.6%
4 804
 
2.9%
5 693
 
2.5%
Other values (37) 2635
 
9.6%
Hangul
ValueCountFrequency (%)
5172
 
13.4%
3343
 
8.7%
3150
 
8.2%
2542
 
6.6%
2486
 
6.5%
2459
 
6.4%
2444
 
6.3%
1003
 
2.6%
925
 
2.4%
844
 
2.2%
Other values (292) 14124
36.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct855
Distinct (%)39.1%
Missing559
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean174407.04
Minimum41002
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T03:59:16.826139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41146
Q141626.75
median42242
Q342914
95-th percentile705815.75
Maximum711893
Range670891
Interquartile range (IQR)1287.25

Descriptive statistics

Standard deviation264874.42
Coefficient of variation (CV)1.518714
Kurtosis0.25578766
Mean174407.04
Median Absolute Deviation (MAD)657
Skewness1.5018025
Sum3.812538 × 108
Variance7.0158461 × 1010
MonotonicityNot monotonic
2023-12-11T03:59:17.046599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42417 23
 
0.8%
41957 17
 
0.6%
41423 16
 
0.6%
41557 16
 
0.6%
42471 14
 
0.5%
41438 14
 
0.5%
42620 13
 
0.5%
41940 13
 
0.5%
42914 12
 
0.4%
42832 12
 
0.4%
Other values (845) 2036
74.2%
(Missing) 559
 
20.4%
ValueCountFrequency (%)
41002 1
 
< 0.1%
41003 1
 
< 0.1%
41005 2
 
0.1%
41026 7
0.3%
41027 2
 
0.1%
41030 1
 
< 0.1%
41033 1
 
< 0.1%
41034 4
0.1%
41035 2
 
0.1%
41036 2
 
0.1%
ValueCountFrequency (%)
711893 1
 
< 0.1%
711874 6
0.2%
711872 1
 
< 0.1%
711870 1
 
< 0.1%
711857 1
 
< 0.1%
711854 3
0.1%
711845 1
 
< 0.1%
711839 2
 
0.1%
711836 1
 
< 0.1%
711815 2
 
0.1%
Distinct1379
Distinct (%)50.2%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
2023-12-11T03:59:17.498732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length4
Mean length4.7595628
Min length2

Characters and Unicode

Total characters13065
Distinct characters377
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

Unique870 ?
Unique (%)31.7%

Sample

1st row조은약국
2nd row두산약국
3rd row모정약국
4th row대흥약국
5th row동진약국
ValueCountFrequency (%)
약국 17
 
0.6%
미소약국 16
 
0.6%
조은약국 14
 
0.5%
수약국 14
 
0.5%
푸른약국 14
 
0.5%
효성약국 13
 
0.5%
튼튼약국 13
 
0.5%
장수약국 13
 
0.5%
세명약국 12
 
0.4%
동산약국 12
 
0.4%
Other values (1364) 2661
95.1%
2023-12-11T03:59:18.176367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2756
21.1%
2748
21.0%
208
 
1.6%
203
 
1.6%
202
 
1.5%
191
 
1.5%
166
 
1.3%
130
 
1.0%
125
 
1.0%
124
 
0.9%
Other values (367) 6212
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12965
99.2%
Space Separator 54
 
0.4%
Decimal Number 34
 
0.3%
Uppercase Letter 9
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2756
21.3%
2748
21.2%
208
 
1.6%
203
 
1.6%
202
 
1.6%
191
 
1.5%
166
 
1.3%
130
 
1.0%
125
 
1.0%
124
 
1.0%
Other values (354) 6112
47.1%
Decimal Number
ValueCountFrequency (%)
2 16
47.1%
1 12
35.3%
3 2
 
5.9%
8 1
 
2.9%
5 1
 
2.9%
6 1
 
2.9%
4 1
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
N 4
44.4%
O 4
44.4%
J 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12965
99.2%
Common 91
 
0.7%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2756
21.3%
2748
21.2%
208
 
1.6%
203
 
1.6%
202
 
1.6%
191
 
1.5%
166
 
1.3%
130
 
1.0%
125
 
1.0%
124
 
1.0%
Other values (354) 6112
47.1%
Common
ValueCountFrequency (%)
54
59.3%
2 16
 
17.6%
1 12
 
13.2%
3 2
 
2.2%
& 2
 
2.2%
, 1
 
1.1%
8 1
 
1.1%
5 1
 
1.1%
6 1
 
1.1%
4 1
 
1.1%
Latin
ValueCountFrequency (%)
N 4
44.4%
O 4
44.4%
J 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12965
99.2%
ASCII 100
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2756
21.3%
2748
21.2%
208
 
1.6%
203
 
1.6%
202
 
1.6%
191
 
1.5%
166
 
1.3%
130
 
1.0%
125
 
1.0%
124
 
1.0%
Other values (354) 6112
47.1%
ASCII
ValueCountFrequency (%)
54
54.0%
2 16
 
16.0%
1 12
 
12.0%
N 4
 
4.0%
O 4
 
4.0%
3 2
 
2.0%
& 2
 
2.0%
, 1
 
1.0%
J 1
 
1.0%
8 1
 
1.0%
Other values (3) 3
 
3.0%

최종수정시점
Real number (ℝ)

Distinct2744
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0153532 × 1013
Minimum2.0081113 × 1013
Maximum2.021093 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T03:59:18.461271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081113 × 1013
5-th percentile2.0100144 × 1013
Q12.0120928 × 1013
median2.0160315 × 1013
Q32.0180806 × 1013
95-th percentile2.0210215 × 1013
Maximum2.021093 × 1013
Range1.29817 × 1011
Interquartile range (IQR)5.9877975 × 1010

Descriptive statistics

Standard deviation3.4550529 × 1010
Coefficient of variation (CV)0.0017143659
Kurtosis-1.0285604
Mean2.0153532 × 1013
Median Absolute Deviation (MAD)2.9897043 × 1010
Skewness-0.11380853
Sum5.5321446 × 1016
Variance1.193739 × 1021
MonotonicityNot monotonic
2023-12-11T03:59:18.743676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180226103103 2
 
0.1%
20210907094839 1
 
< 0.1%
20190422172352 1
 
< 0.1%
20210126111056 1
 
< 0.1%
20210412105124 1
 
< 0.1%
20170314135653 1
 
< 0.1%
20190304154048 1
 
< 0.1%
20210126105615 1
 
< 0.1%
20190603112100 1
 
< 0.1%
20200731171840 1
 
< 0.1%
Other values (2734) 2734
99.6%
ValueCountFrequency (%)
20081113172135 1
< 0.1%
20081114154453 1
< 0.1%
20081114161600 1
< 0.1%
20081118102029 1
< 0.1%
20081118102209 1
< 0.1%
20081118103629 1
< 0.1%
20081118123356 1
< 0.1%
20081118123519 1
< 0.1%
20081118123615 1
< 0.1%
20081124114954 1
< 0.1%
ValueCountFrequency (%)
20210930171817 1
< 0.1%
20210930165247 1
< 0.1%
20210928130539 1
< 0.1%
20210928094749 1
< 0.1%
20210924164042 1
< 0.1%
20210923093023 1
< 0.1%
20210917110523 1
< 0.1%
20210914180609 1
< 0.1%
20210910115318 1
< 0.1%
20210910092036 1
< 0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
I
2218 
U
527 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2218
80.8%
U 527
 
19.2%

Length

2023-12-11T03:59:18.945299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:19.093715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2218
80.8%
u 527
 
19.2%
Distinct426
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
Minimum2018-08-31 23:59:59
Maximum2021-10-02 02:40:00
2023-12-11T03:59:19.255921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:59:19.510257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2745
Missing (%)100.0%
Memory size24.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1634
Distinct (%)67.0%
Missing306
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean342924.01
Minimum327695.85
Maximum357951
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T03:59:19.731952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327695.85
5-th percentile333523.38
Q1339797.95
median342848.8
Q3346030.97
95-th percentile353445.68
Maximum357951
Range30255.152
Interquartile range (IQR)6233.0182

Descriptive statistics

Standard deviation5113.7954
Coefficient of variation (CV)0.014912328
Kurtosis0.56742019
Mean342924.01
Median Absolute Deviation (MAD)3084.9578
Skewness0.060806603
Sum8.3639167 × 108
Variance26150903
MonotonicityNot monotonic
2023-12-11T03:59:19.996328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341158.083766 10
 
0.4%
343820.40768 9
 
0.3%
344894.551738 9
 
0.3%
336129.059853 8
 
0.3%
348550.425873 8
 
0.3%
353999.548196 8
 
0.3%
339763.840237 7
 
0.3%
339483.511674 6
 
0.2%
343804.339977 6
 
0.2%
333523.381863 6
 
0.2%
Other values (1624) 2362
86.0%
(Missing) 306
 
11.1%
ValueCountFrequency (%)
327695.847962 1
 
< 0.1%
328014.986053 1
 
< 0.1%
328063.279113 1
 
< 0.1%
328117.182705 1
 
< 0.1%
328183.920892 2
0.1%
328330.0 1
 
< 0.1%
328385.759632 1
 
< 0.1%
328837.604755 1
 
< 0.1%
330172.529326 2
0.1%
330186.929938 3
0.1%
ValueCountFrequency (%)
357951.0 1
 
< 0.1%
357926.0 1
 
< 0.1%
357908.12325 1
 
< 0.1%
356426.577415 1
 
< 0.1%
356354.534914 1
 
< 0.1%
356142.765212 2
0.1%
356129.784535 1
 
< 0.1%
356109.591069 3
0.1%
356044.071074 1
 
< 0.1%
355939.362329 2
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1633
Distinct (%)67.0%
Missing306
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean263402.6
Minimum240451
Maximum274273.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T03:59:20.238868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240451
5-th percentile257437.53
Q1261498.96
median263542.18
Q3265505.55
95-th percentile271678.35
Maximum274273.37
Range33822.374
Interquartile range (IQR)4006.589

Descriptive statistics

Standard deviation4645.1247
Coefficient of variation (CV)0.017635076
Kurtosis5.0477833
Mean263402.6
Median Absolute Deviation (MAD)2000.4701
Skewness-1.178694
Sum6.4243893 × 108
Variance21577184
MonotonicityNot monotonic
2023-12-11T03:59:20.514815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
273892.86851 10
 
0.4%
265095.841356 9
 
0.3%
264018.87607 9
 
0.3%
263398.870923 8
 
0.3%
261412.731435 8
 
0.3%
262677.37122 8
 
0.3%
271437.539692 7
 
0.3%
263263.225944 6
 
0.2%
264622.515911 6
 
0.2%
261732.18576 6
 
0.2%
Other values (1623) 2362
86.0%
(Missing) 306
 
11.1%
ValueCountFrequency (%)
240451.0 1
< 0.1%
240481.502376 1
< 0.1%
240482.809935 2
0.1%
240556.79248 1
< 0.1%
240799.344615 1
< 0.1%
242419.188759 1
< 0.1%
244422.164073 1
< 0.1%
244510.0 2
0.1%
244527.902326 1
< 0.1%
244558.0 1
< 0.1%
ValueCountFrequency (%)
274273.374182 1
 
< 0.1%
274075.054059 1
 
< 0.1%
273994.885719 1
 
< 0.1%
273892.86851 10
0.4%
273817.094295 2
 
0.1%
273814.355431 2
 
0.1%
273800.471129 2
 
0.1%
273799.602958 1
 
< 0.1%
273587.706164 1
 
< 0.1%
273515.05347 3
 
0.1%

약국영업면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct1337
Distinct (%)48.7%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean55.417867
Minimum0
Maximum7037
Zeros97
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T03:59:20.722395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q130.75
median43.2
Q363.035
95-th percentile119.96
Maximum7037
Range7037
Interquartile range (IQR)32.285

Descriptive statistics

Standard deviation140.41953
Coefficient of variation (CV)2.5338313
Kurtosis2232.2712
Mean55.417867
Median Absolute Deviation (MAD)15.2
Skewness45.117605
Sum152011.21
Variance19717.643
MonotonicityNot monotonic
2023-12-11T03:59:20.923909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 97
 
3.5%
33.0 36
 
1.3%
40.0 23
 
0.8%
36.0 17
 
0.6%
24.0 16
 
0.6%
39.6 15
 
0.5%
60.0 15
 
0.5%
30.0 14
 
0.5%
45.0 13
 
0.5%
66.0 13
 
0.5%
Other values (1327) 2484
90.5%
ValueCountFrequency (%)
0.0 97
3.5%
1.0 1
 
< 0.1%
8.0 1
 
< 0.1%
9.8 2
 
0.1%
10.54 1
 
< 0.1%
10.67 1
 
< 0.1%
11.1 1
 
< 0.1%
11.3 1
 
< 0.1%
11.36 1
 
< 0.1%
11.4 1
 
< 0.1%
ValueCountFrequency (%)
7037.0 1
< 0.1%
1200.0 1
< 0.1%
544.0 1
< 0.1%
531.1 1
< 0.1%
348.25 1
< 0.1%
337.9 1
< 0.1%
297.9 1
< 0.1%
266.4 2
0.1%
251.28 1
< 0.1%
243.22 1
< 0.1%

지정일자
Real number (ℝ)

Distinct2075
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20076939
Minimum18841129
Maximum20210928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T03:59:21.157606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18841129
5-th percentile19813068
Q120041025
median20100531
Q320150701
95-th percentile20190730
Maximum20210928
Range1369799
Interquartile range (IQR)109676

Descriptive statistics

Standard deviation110304.61
Coefficient of variation (CV)0.0054940948
Kurtosis8.4155087
Mean20076939
Median Absolute Deviation (MAD)50303
Skewness-2.1102085
Sum5.5111198 × 1010
Variance1.2167106 × 1010
MonotonicityNot monotonic
2023-12-11T03:59:21.350681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000801 7
 
0.3%
20180702 6
 
0.2%
20190102 6
 
0.2%
20140102 6
 
0.2%
20160901 5
 
0.2%
20150518 5
 
0.2%
20170801 5
 
0.2%
20180102 5
 
0.2%
20140901 5
 
0.2%
20100302 5
 
0.2%
Other values (2065) 2690
98.0%
ValueCountFrequency (%)
18841129 1
< 0.1%
19590406 1
< 0.1%
19610818 1
< 0.1%
19611027 1
< 0.1%
19630611 1
< 0.1%
19630615 1
< 0.1%
19640115 1
< 0.1%
19650129 1
< 0.1%
19650309 2
0.1%
19650720 1
< 0.1%
ValueCountFrequency (%)
20210928 1
< 0.1%
20210917 1
< 0.1%
20210906 1
< 0.1%
20210902 1
< 0.1%
20210824 1
< 0.1%
20210812 1
< 0.1%
20210803 1
< 0.1%
20210802 1
< 0.1%
20210722 1
< 0.1%
20210713 1
< 0.1%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)약국영업면적지정일자
01약국01_01_06_P3410000PHMD11984341002308400000119840228<NA>1영업/정상13영업중<NA><NA><NA><NA>053-423-5989<NA><NA>대구광역시 중구 공평동82-2대구광역시 중구 동성로4길 111 (공평동)41938조은약국20210907094839U2021-09-09 02:40:00.0<NA>344400.481376264463.62661532.8319840228
12약국01_01_06_P3410000PHMD11985341002308400000119851210<NA>1영업/정상13영업중<NA><NA><NA><NA>053-422-4423<NA><NA>대구광역시 중구 삼덕2가105-1대구광역시 중구 동덕로 127 (삼덕동2가)41940두산약국20190222100002U2019-02-24 02:40:00.0<NA>344724.214579264060.53456738.8819851210
23약국01_01_06_P3410000PHMD11996341002308400000119960101<NA>1영업/정상13영업중<NA><NA><NA><NA>053-422-4993<NA>700424대구광역시 중구 동인동4가 315번지대구광역시 중구 국채보상로 716 (동인동4가)<NA>모정약국20090526172948I2018-08-31 23:59:59.0<NA>345232.957371264335.48589553.6819960101
34약국01_01_06_P3410000PHMD11997341002308400000119970110<NA>1영업/정상13영업중<NA><NA><NA><NA>053-425-4641<NA><NA>대구광역시 중구 삼덕2가213-3대구광역시 중구 동덕로 119 (삼덕동2가)41940대흥약국20210624115539U2021-06-26 02:40:00.0<NA>344708.376676263998.73049930.3819970110
45약국01_01_06_P3410000PHMD12000341002308400000220000711<NA>1영업/정상13영업중<NA><NA><NA><NA>053-424-5995<NA><NA>대구광역시 중구 동인3가229-6대구광역시 중구 국채보상로149길 55 (동인동3가)41906동진약국20210624112804U2021-06-26 02:40:00.0<NA>345430.610603264632.32462634.2820000711
56약국01_01_06_P3410000PHMD12001341002308400000220010602<NA>1영업/정상13영업중<NA><NA><NA><NA>053-257-3717<NA><NA>대구광역시 중구 삼덕2가149-14대구광역시 중구 공평로 20 (삼덕동2가)41940플러스약국20210624114029U2021-06-26 02:40:00.0<NA>344454.279135264027.08545141.7420010602
67약국01_01_06_P3410000PHMD12001341002308400000320010619<NA>1영업/정상13영업중<NA><NA><NA><NA>053-254-0053<NA><NA>대구광역시 중구 상서동44-2대구광역시 중구 국채보상로 538 (상서동)41934그린약국20190222095021U2019-02-24 02:40:00.0<NA>343487.513831264495.34248228.2920010619
78약국01_01_06_P3410000PHMD12001341002308400000420010913<NA>1영업/정상13영업중<NA><NA><NA><NA>053-253-8085<NA>700320대구광역시 중구 대신동 115번지 301호대구광역시 중구 달성로 51 (대신동)41926영남약국20210624115239U2021-06-26 02:40:00.0<NA>342805.110818264432.965405105.7220010913
89약국01_01_06_P3410000PHMD12002341002308400000120020401<NA>1영업/정상13영업중<NA><NA><NA><NA>053-424-7772<NA><NA>대구광역시 중구 동산동 75번지 20호대구광역시 중구 달성로 54, 1, 2층 (동산동)41931열린약국20210624112400U2021-06-26 02:40:00.0<NA>342843.296112264442.80371720.720020401
910약국01_01_06_P3410000PHMD12002341002308400000420020807<NA>1영업/정상13영업중<NA><NA><NA><NA>053-422-8720<NA><NA>대구광역시 중구 상서동40대구광역시 중구 국채보상로 540-1 (상서동)41934호생약국20190222094041U2019-02-24 02:40:00.0<NA>343505.526155264494.43687767.3120020807
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