Overview

Dataset statistics

Number of variables29
Number of observations2010
Missing cells12802
Missing cells (%)22.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory490.9 KiB
Average record size in memory250.1 B

Variable types

Numeric10
Categorical9
Text5
Unsupported4
DateTime1

Dataset

Description6270000_대구광역시_01_01_05_P_안전상비의약품 판매업소_7월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000048380&dataSetDetailId=DDI_0000048394&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
영업상태구분코드 is highly imbalanced (53.3%)Imbalance
영업상태명 is highly imbalanced (53.3%)Imbalance
상세영업상태코드 is highly imbalanced (53.3%)Imbalance
상세영업상태명 is highly imbalanced (53.3%)Imbalance
휴업시작일자 is highly imbalanced (99.4%)Imbalance
휴업종료일자 is highly imbalanced (99.4%)Imbalance
데이터갱신구분 is highly imbalanced (73.1%)Imbalance
인허가취소일자 has 2010 (100.0%) missing valuesMissing
폐업일자 has 1355 (67.4%) missing valuesMissing
재개업일자 has 2010 (100.0%) missing valuesMissing
소재지전화 has 745 (37.1%) missing valuesMissing
소재지면적 has 2010 (100.0%) missing valuesMissing
소재지우편번호 has 1184 (58.9%) missing valuesMissing
소재지전체주소 has 259 (12.9%) missing valuesMissing
업태구분명 has 2010 (100.0%) missing valuesMissing
판매점영업면적 has 1178 (58.6%) 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 18:45:16.737075
Analysis finished2023-12-10 18:45:18.271664
Duration1.53 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2010
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1005.5
Minimum1
Maximum2010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-11T03:45:18.420816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile101.45
Q1503.25
median1005.5
Q31507.75
95-th percentile1909.55
Maximum2010
Range2009
Interquartile range (IQR)1004.5

Descriptive statistics

Standard deviation580.38134
Coefficient of variation (CV)0.5772067
Kurtosis-1.2
Mean1005.5
Median Absolute Deviation (MAD)502.5
Skewness0
Sum2021055
Variance336842.5
MonotonicityStrictly increasing
2023-12-11T03:45:18.691020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1337 1
 
< 0.1%
1350 1
 
< 0.1%
1349 1
 
< 0.1%
1348 1
 
< 0.1%
1347 1
 
< 0.1%
1346 1
 
< 0.1%
1345 1
 
< 0.1%
1344 1
 
< 0.1%
1343 1
 
< 0.1%
Other values (2000) 2000
99.5%
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 (%)
2010 1
< 0.1%
2009 1
< 0.1%
2008 1
< 0.1%
2007 1
< 0.1%
2006 1
< 0.1%
2005 1
< 0.1%
2004 1
< 0.1%
2003 1
< 0.1%
2002 1
< 0.1%
2001 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
안전상비의약품 판매업소
2010 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안전상비의약품 판매업소
2nd row안전상비의약품 판매업소
3rd row안전상비의약품 판매업소
4th row안전상비의약품 판매업소
5th row안전상비의약품 판매업소

Common Values

ValueCountFrequency (%)
안전상비의약품 판매업소 2010
100.0%

Length

2023-12-11T03:45:18.960341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:45:19.445074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전상비의약품 2010
50.0%
판매업소 2010
50.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
01_01_05_P
2010 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_01_05_P
2nd row01_01_05_P
3rd row01_01_05_P
4th row01_01_05_P
5th row01_01_05_P

Common Values

ValueCountFrequency (%)
01_01_05_P 2010
100.0%

Length

2023-12-11T03:45:19.634042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:45:19.926846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_05_p 2010
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450218.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-11T03:45:20.105235image/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 deviation21776.544
Coefficient of variation (CV)0.0063116412
Kurtosis-1.0640487
Mean3450218.9
Median Absolute Deviation (MAD)20000
Skewness-0.43682809
Sum6.93494 × 109
Variance4.7421786 × 108
MonotonicityIncreasing
2023-12-11T03:45:20.337096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 466
23.2%
3450000 340
16.9%
3460000 304
15.1%
3420000 296
14.7%
3480000 207
10.3%
3440000 153
 
7.6%
3410000 142
 
7.1%
3430000 102
 
5.1%
ValueCountFrequency (%)
3410000 142
 
7.1%
3420000 296
14.7%
3430000 102
 
5.1%
3440000 153
 
7.6%
3450000 340
16.9%
3460000 304
15.1%
3470000 466
23.2%
3480000 207
10.3%
ValueCountFrequency (%)
3480000 207
10.3%
3470000 466
23.2%
3460000 304
15.1%
3450000 340
16.9%
3440000 153
 
7.6%
3430000 102
 
5.1%
3420000 296
14.7%
3410000 142
 
7.1%

관리번호
Text

UNIQUE 

Distinct2010
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
2023-12-11T03:45:20.697085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters50250
Distinct characters13
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

Unique2010 ?
Unique (%)100.0%

Sample

1st rowPHMH320193410023087500010
2nd rowPHMH320193410023087500007
3rd rowPHMH320193410023087500011
4th rowPHMH320193410023087500009
5th rowPHMH320193410023087500012
ValueCountFrequency (%)
phmh320193410023087500010 1
 
< 0.1%
phmh320183460023087500029 1
 
< 0.1%
phmh320183470022087500026 1
 
< 0.1%
phmh320183470022087500025 1
 
< 0.1%
phmh320183470022087500039 1
 
< 0.1%
phmh320183470022087500037 1
 
< 0.1%
phmh320183470022087500038 1
 
< 0.1%
phmh320173470022087500049 1
 
< 0.1%
phmh320123470022087500068 1
 
< 0.1%
phmh320183470022087500032 1
 
< 0.1%
Other values (2000) 2000
99.5%
2023-12-11T03:45:21.280477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14756
29.4%
2 6192
12.3%
3 5459
 
10.9%
H 4020
 
8.0%
1 3254
 
6.5%
7 3036
 
6.0%
5 2838
 
5.6%
4 2754
 
5.5%
8 2669
 
5.3%
P 2010
 
4.0%
Other values (3) 3262
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42210
84.0%
Uppercase Letter 8040
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14756
35.0%
2 6192
14.7%
3 5459
 
12.9%
1 3254
 
7.7%
7 3036
 
7.2%
5 2838
 
6.7%
4 2754
 
6.5%
8 2669
 
6.3%
6 804
 
1.9%
9 448
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
H 4020
50.0%
P 2010
25.0%
M 2010
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42210
84.0%
Latin 8040
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14756
35.0%
2 6192
14.7%
3 5459
 
12.9%
1 3254
 
7.7%
7 3036
 
7.2%
5 2838
 
6.7%
4 2754
 
6.5%
8 2669
 
6.3%
6 804
 
1.9%
9 448
 
1.1%
Latin
ValueCountFrequency (%)
H 4020
50.0%
P 2010
25.0%
M 2010
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14756
29.4%
2 6192
12.3%
3 5459
 
10.9%
H 4020
 
8.0%
1 3254
 
6.5%
7 3036
 
6.0%
5 2838
 
5.6%
4 2754
 
5.5%
8 2669
 
5.3%
P 2010
 
4.0%
Other values (3) 3262
 
6.5%

인허가일자
Real number (ℝ)

Distinct897
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20150721
Minimum20111114
Maximum20190628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-11T03:45:21.574062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20111114
5-th percentile20121105
Q120121115
median20151030
Q320170813
95-th percentile20190310
Maximum20190628
Range79514
Interquartile range (IQR)49698

Descriptive statistics

Standard deviation24431.529
Coefficient of variation (CV)0.0012124395
Kurtosis-1.4584938
Mean20150721
Median Absolute Deviation (MAD)20825.5
Skewness0.038975991
Sum4.0502949 × 1010
Variance5.9689963 × 108
MonotonicityNot monotonic
2023-12-11T03:45:21.839891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121115 108
 
5.4%
20121109 71
 
3.5%
20121112 63
 
3.1%
20121114 48
 
2.4%
20121113 41
 
2.0%
20121107 41
 
2.0%
20121108 37
 
1.8%
20121102 30
 
1.5%
20121105 27
 
1.3%
20121106 20
 
1.0%
Other values (887) 1524
75.8%
ValueCountFrequency (%)
20111114 2
 
0.1%
20111115 1
 
< 0.1%
20121022 1
 
< 0.1%
20121023 1
 
< 0.1%
20121024 6
 
0.3%
20121025 6
 
0.3%
20121026 3
 
0.1%
20121029 5
 
0.2%
20121030 6
 
0.3%
20121031 16
0.8%
ValueCountFrequency (%)
20190628 1
 
< 0.1%
20190627 3
0.1%
20190626 2
0.1%
20190624 4
0.2%
20190619 2
0.1%
20190618 3
0.1%
20190614 3
0.1%
20190613 2
0.1%
20190612 1
 
< 0.1%
20190611 1
 
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2010
Missing (%)100.0%
Memory size17.8 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
1
1354 
3
651 
4
 
4
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 1354
67.4%
3 651
32.4%
4 4
 
0.2%
2 1
 
< 0.1%

Length

2023-12-11T03:45:22.065664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:45:22.249972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1354
67.4%
3 651
32.4%
4 4
 
0.2%
2 1
 
< 0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
영업/정상
1354 
폐업
651 
취소/말소/만료/정지/중지
 
4
휴업
 
1

Length

Max length14
Median length5
Mean length4.0447761
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1354
67.4%
폐업 651
32.4%
취소/말소/만료/정지/중지 4
 
0.2%
휴업 1
 
< 0.1%

Length

2023-12-11T03:45:22.451514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:45:22.641784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1354
67.4%
폐업 651
32.4%
취소/말소/만료/정지/중지 4
 
0.2%
휴업 1
 
< 0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
13
1354 
3
651 
24
 
4
2
 
1

Length

Max length2
Median length2
Mean length1.6756219
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 1354
67.4%
3 651
32.4%
24 4
 
0.2%
2 1
 
< 0.1%

Length

2023-12-11T03:45:22.836489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:45:23.033871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 1354
67.4%
3 651
32.4%
24 4
 
0.2%
2 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
영업중
1354 
폐업
651 
직권폐업
 
4
휴업
 
1

Length

Max length4
Median length3
Mean length2.6776119
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1354
67.4%
폐업 651
32.4%
직권폐업 4
 
0.2%
휴업 1
 
< 0.1%

Length

2023-12-11T03:45:23.271817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:45:23.482461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1354
67.4%
폐업 651
32.4%
직권폐업 4
 
0.2%
휴업 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct504
Distinct (%)76.9%
Missing1355
Missing (%)67.4%
Infinite0
Infinite (%)0.0%
Mean20162565
Minimum20121115
Maximum20190628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-11T03:45:23.705787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20121115
5-th percentile20130724
Q120141216
median20161228
Q320180524
95-th percentile20190430
Maximum20190628
Range69513
Interquartile range (IQR)39308.5

Descriptive statistics

Standard deviation19866.018
Coefficient of variation (CV)0.0009852922
Kurtosis-1.0964573
Mean20162565
Median Absolute Deviation (MAD)19303
Skewness-0.2758882
Sum1.320648 × 1010
Variance3.9465869 × 108
MonotonicityNot monotonic
2023-12-11T03:45:23.969136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180607 4
 
0.2%
20121116 4
 
0.2%
20190430 4
 
0.2%
20190425 4
 
0.2%
20161228 4
 
0.2%
20170816 4
 
0.2%
20141016 3
 
0.1%
20150618 3
 
0.1%
20131004 3
 
0.1%
20180126 3
 
0.1%
Other values (494) 619
30.8%
(Missing) 1355
67.4%
ValueCountFrequency (%)
20121115 2
0.1%
20121116 4
0.2%
20121119 3
0.1%
20121120 1
 
< 0.1%
20121122 2
0.1%
20121129 1
 
< 0.1%
20121217 1
 
< 0.1%
20121220 1
 
< 0.1%
20130118 1
 
< 0.1%
20130130 1
 
< 0.1%
ValueCountFrequency (%)
20190628 1
< 0.1%
20190627 1
< 0.1%
20190625 1
< 0.1%
20190624 1
< 0.1%
20190620 1
< 0.1%
20190619 1
< 0.1%
20190614 1
< 0.1%
20190613 2
0.1%
20190612 1
< 0.1%
20190611 1
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
2009 
20170518
 
1

Length

Max length8
Median length4
Mean length4.00199
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2009
> 99.9%
20170518 1
 
< 0.1%

Length

2023-12-11T03:45:24.201841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:45:24.374202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2009
> 99.9%
20170518 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
<NA>
2009 
20190228
 
1

Length

Max length8
Median length4
Mean length4.00199
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2009
> 99.9%
20190228 1
 
< 0.1%

Length

2023-12-11T03:45:24.539249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:45:24.725258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2009
> 99.9%
20190228 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2010
Missing (%)100.0%
Memory size17.8 KiB

소재지전화
Text

MISSING 

Distinct1139
Distinct (%)90.0%
Missing745
Missing (%)37.1%
Memory size15.8 KiB
2023-12-11T03:45:25.106309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.020553
Min length7

Characters and Unicode

Total characters13941
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

Unique1026 ?
Unique (%)81.1%

Sample

1st row053-421-1723
2nd row053-421-2280
3rd row425-7513
4th row254-7715
5th row425-5189
ValueCountFrequency (%)
080-855-5525 4
 
0.3%
053 4
 
0.3%
1577-9621 4
 
0.3%
053-634-5643 3
 
0.2%
053-764-7644 3
 
0.2%
053-752-7709 3
 
0.2%
053-614-7268 3
 
0.2%
254-5915 3
 
0.2%
250-8118 3
 
0.2%
053-581-7732 3
 
0.2%
Other values (1132) 1239
97.4%
2023-12-11T03:45:25.742323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2180
15.6%
5 2113
15.2%
3 1892
13.6%
0 1542
11.1%
6 1111
8.0%
2 1076
7.7%
1 950
6.8%
7 894
6.4%
8 757
 
5.4%
4 738
 
5.3%
Other values (3) 688
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11751
84.3%
Dash Punctuation 2180
 
15.6%
Space Separator 7
 
0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2113
18.0%
3 1892
16.1%
0 1542
13.1%
6 1111
9.5%
2 1076
9.2%
1 950
8.1%
7 894
7.6%
8 757
 
6.4%
4 738
 
6.3%
9 678
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 2180
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13941
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2180
15.6%
5 2113
15.2%
3 1892
13.6%
0 1542
11.1%
6 1111
8.0%
2 1076
7.7%
1 950
6.8%
7 894
6.4%
8 757
 
5.4%
4 738
 
5.3%
Other values (3) 688
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13941
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2180
15.6%
5 2113
15.2%
3 1892
13.6%
0 1542
11.1%
6 1111
8.0%
2 1076
7.7%
1 950
6.8%
7 894
6.4%
8 757
 
5.4%
4 738
 
5.3%
Other values (3) 688
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2010
Missing (%)100.0%
Memory size17.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct365
Distinct (%)44.2%
Missing1184
Missing (%)58.9%
Infinite0
Infinite (%)0.0%
Mean687476.61
Minimum41074
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-11T03:45:25.975549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41074
5-th percentile700165
Q1701851.5
median703824
Q3704946.75
95-th percentile711837.75
Maximum711891
Range670817
Interquartile range (IQR)3095.25

Descriptive statistics

Standard deviation104332.09
Coefficient of variation (CV)0.15176094
Kurtosis34.515991
Mean687476.61
Median Absolute Deviation (MAD)1751.5
Skewness-6.0332222
Sum5.6785568 × 108
Variance1.0885186 × 1010
MonotonicityNot monotonic
2023-12-11T03:45:26.208870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701847 14
 
0.7%
702886 12
 
0.6%
701827 11
 
0.5%
711812 10
 
0.5%
704914 10
 
0.5%
702868 9
 
0.4%
705831 8
 
0.4%
711891 8
 
0.4%
703848 8
 
0.4%
702819 7
 
0.3%
Other values (355) 729
36.3%
(Missing) 1184
58.9%
ValueCountFrequency (%)
41074 1
< 0.1%
41077 1
< 0.1%
41098 1
< 0.1%
41787 1
< 0.1%
41852 1
< 0.1%
41910 2
0.1%
41931 1
< 0.1%
41935 1
< 0.1%
41945 1
< 0.1%
41957 1
< 0.1%
ValueCountFrequency (%)
711891 8
0.4%
711874 4
0.2%
711873 3
 
0.1%
711872 6
0.3%
711871 1
 
< 0.1%
711865 4
0.2%
711858 1
 
< 0.1%
711857 1
 
< 0.1%
711854 7
0.3%
711853 1
 
< 0.1%

소재지전체주소
Text

MISSING 

Distinct1428
Distinct (%)81.6%
Missing259
Missing (%)12.9%
Memory size15.8 KiB
2023-12-11T03:45:26.783678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length22.90691
Min length12

Characters and Unicode

Total characters40110
Distinct characters261
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1156 ?
Unique (%)66.0%

Sample

1st row대구광역시 중구 문화동 9번지 14호
2nd row대구광역시 중구 삼덕동3가 243번지 4호
3rd row대구광역시 중구 동산동 194번지 계명대학교동산의료원
4th row대구광역시 중구 삼덕동1가 14번지 1호
5th row대구광역시 중구 삼덕동2가 284번지 1호 삼덕하이츠
ValueCountFrequency (%)
대구광역시 1750
 
19.6%
달서구 462
 
5.2%
북구 340
 
3.8%
동구 264
 
3.0%
1호 252
 
2.8%
달성군 172
 
1.9%
남구 152
 
1.7%
수성구 143
 
1.6%
3호 129
 
1.4%
중구 115
 
1.3%
Other values (1369) 5155
57.7%
2023-12-11T03:45:27.700663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7190
17.9%
구 3378
 
8.4%
1 2004
 
5.0%
동 1950
 
4.9%
대 1935
 
4.8%
지 1797
 
4.5%
시 1759
 
4.4%
역 1755
 
4.4%
광 1752
 
4.4%
번 1731
 
4.3%
Other values (251) 14859
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24791
61.8%
Decimal Number 8084
 
20.2%
Space Separator 7190
 
17.9%
Other Punctuation 20
 
< 0.1%
Dash Punctuation 9
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Uppercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 3378
13.6%
동 1950
 
7.9%
대 1935
 
7.8%
지 1797
 
7.2%
시 1759
 
7.1%
역 1755
 
7.1%
광 1752
 
7.1%
번 1731
 
7.0%
호 1544
 
6.2%
달 636
 
2.6%
Other values (233) 6554
26.4%
Decimal Number
ValueCountFrequency (%)
1 2004
24.8%
2 942
11.7%
3 817
10.1%
4 698
 
8.6%
0 687
 
8.5%
5 671
 
8.3%
9 595
 
7.4%
6 590
 
7.3%
7 582
 
7.2%
8 498
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
L 2
50.0%
H 2
50.0%
Space Separator
ValueCountFrequency (%)
7190
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24791
61.8%
Common 15315
38.2%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 3378
13.6%
동 1950
 
7.9%
대 1935
 
7.8%
지 1797
 
7.2%
시 1759
 
7.1%
역 1755
 
7.1%
광 1752
 
7.1%
번 1731
 
7.0%
호 1544
 
6.2%
달 636
 
2.6%
Other values (233) 6554
26.4%
Common
ValueCountFrequency (%)
7190
46.9%
1 2004
 
13.1%
2 942
 
6.2%
3 817
 
5.3%
4 698
 
4.6%
0 687
 
4.5%
5 671
 
4.4%
9 595
 
3.9%
6 590
 
3.9%
7 582
 
3.8%
Other values (6) 539
 
3.5%
Latin
ValueCountFrequency (%)
L 2
50.0%
H 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24791
61.8%
ASCII 15319
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7190
46.9%
1 2004
 
13.1%
2 942
 
6.1%
3 817
 
5.3%
4 698
 
4.6%
0 687
 
4.5%
5 671
 
4.4%
9 595
 
3.9%
6 590
 
3.9%
7 582
 
3.8%
Other values (8) 543
 
3.5%
Hangul
ValueCountFrequency (%)
구 3378
13.6%
동 1950
 
7.9%
대 1935
 
7.8%
지 1797
 
7.2%
시 1759
 
7.1%
역 1755
 
7.1%
광 1752
 
7.1%
번 1731
 
7.0%
호 1544
 
6.2%
달 636
 
2.6%
Other values (233) 6554
26.4%

도로명전체주소
Text

Distinct1686
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
2023-12-11T03:45:28.369575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length55
Mean length27.386567
Min length19

Characters and Unicode

Total characters55047
Distinct characters354
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

Unique1416 ?
Unique (%)70.4%

Sample

1st row대구광역시 중구 국채보상로123길 16, 1층 (문화동)
2nd row대구광역시 중구 달구벌대로447길 43 (삼덕동3가)
3rd row대구광역시 중구 달성로 56, 계명대학교동산의료원 (동산동)
4th row대구광역시 중구 동성로2길 18-19, 동성갤러리아 1층 105호 (삼덕동1가)
5th row대구광역시 중구 달구벌대로443길 13, 삼덕하이츠 1층 (삼덕동2가)
ValueCountFrequency (%)
대구광역시 2010
 
17.8%
달서구 466
 
4.1%
1층 394
 
3.5%
북구 340
 
3.0%
수성구 304
 
2.7%
동구 296
 
2.6%
달성군 207
 
1.8%
남구 153
 
1.4%
중구 142
 
1.3%
대명동 113
 
1.0%
Other values (1833) 6840
60.7%
2023-12-11T03:45:29.322240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9255
 
16.8%
구 4120
 
7.5%
대 2674
 
4.9%
동 2632
 
4.8%
1 2332
 
4.2%
시 2055
 
3.7%
역 2051
 
3.7%
광 2012
 
3.7%
로 1977
 
3.6%
( 1848
 
3.4%
Other values (344) 24091
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32622
59.3%
Space Separator 9255
 
16.8%
Decimal Number 8357
 
15.2%
Open Punctuation 1848
 
3.4%
Close Punctuation 1848
 
3.4%
Other Punctuation 922
 
1.7%
Dash Punctuation 155
 
0.3%
Uppercase Letter 17
 
< 0.1%
Math Symbol 15
 
< 0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4120
 
12.6%
대 2674
 
8.2%
동 2632
 
8.1%
시 2055
 
6.3%
역 2051
 
6.3%
광 2012
 
6.2%
로 1977
 
6.1%
길 890
 
2.7%
달 853
 
2.6%
성 825
 
2.5%
Other values (313) 12533
38.4%
Decimal Number
ValueCountFrequency (%)
1 2332
27.9%
2 1122
13.4%
3 855
 
10.2%
0 818
 
9.8%
4 701
 
8.4%
5 653
 
7.8%
6 544
 
6.5%
7 489
 
5.9%
8 446
 
5.3%
9 397
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
A 4
23.5%
D 3
17.6%
S 2
11.8%
H 2
11.8%
C 1
 
5.9%
T 1
 
5.9%
K 1
 
5.9%
B 1
 
5.9%
M 1
 
5.9%
L 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
e 4
50.0%
a 2
25.0%
n 1
 
12.5%
i 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 920
99.8%
. 2
 
0.2%
Space Separator
ValueCountFrequency (%)
9255
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1848
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1848
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 155
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32622
59.3%
Common 22400
40.7%
Latin 25
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4120
 
12.6%
대 2674
 
8.2%
동 2632
 
8.1%
시 2055
 
6.3%
역 2051
 
6.3%
광 2012
 
6.2%
로 1977
 
6.1%
길 890
 
2.7%
달 853
 
2.6%
성 825
 
2.5%
Other values (313) 12533
38.4%
Common
ValueCountFrequency (%)
9255
41.3%
1 2332
 
10.4%
( 1848
 
8.2%
) 1848
 
8.2%
2 1122
 
5.0%
, 920
 
4.1%
3 855
 
3.8%
0 818
 
3.7%
4 701
 
3.1%
5 653
 
2.9%
Other values (7) 2048
 
9.1%
Latin
ValueCountFrequency (%)
A 4
16.0%
e 4
16.0%
D 3
12.0%
S 2
8.0%
a 2
8.0%
H 2
8.0%
C 1
 
4.0%
T 1
 
4.0%
K 1
 
4.0%
B 1
 
4.0%
Other values (4) 4
16.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32622
59.3%
ASCII 22425
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9255
41.3%
1 2332
 
10.4%
( 1848
 
8.2%
) 1848
 
8.2%
2 1122
 
5.0%
, 920
 
4.1%
3 855
 
3.8%
0 818
 
3.6%
4 701
 
3.1%
5 653
 
2.9%
Other values (21) 2073
 
9.2%
Hangul
ValueCountFrequency (%)
구 4120
 
12.6%
대 2674
 
8.2%
동 2632
 
8.1%
시 2055
 
6.3%
역 2051
 
6.3%
광 2012
 
6.2%
로 1977
 
6.1%
길 890
 
2.7%
달 853
 
2.6%
성 825
 
2.5%
Other values (313) 12533
38.4%

도로명우편번호
Real number (ℝ)

Distinct954
Distinct (%)47.5%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean111994.42
Minimum1111
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-11T03:45:29.612413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1111
5-th percentile41112
Q141554
median42241
Q342764
95-th percentile704807.6
Maximum711891
Range710780
Interquartile range (IQR)1210

Descriptive statistics

Standard deviation203627.01
Coefficient of variation (CV)1.8181889
Kurtosis4.6092452
Mean111994.42
Median Absolute Deviation (MAD)574
Skewness2.5698416
Sum2.2499679 × 108
Variance4.1463961 × 1010
MonotonicityNot monotonic
2023-12-11T03:45:29.945547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42708 18
 
0.9%
41544 14
 
0.7%
42614 12
 
0.6%
42714 11
 
0.5%
43008 11
 
0.5%
42930 10
 
0.5%
42996 9
 
0.4%
42760 9
 
0.4%
42608 9
 
0.4%
42713 9
 
0.4%
Other values (944) 1897
94.4%
ValueCountFrequency (%)
1111 1
 
< 0.1%
41001 1
 
< 0.1%
41002 2
 
0.1%
41005 2
 
0.1%
41007 4
0.2%
41022 1
 
< 0.1%
41023 2
 
0.1%
41024 1
 
< 0.1%
41026 6
0.3%
41033 2
 
0.1%
ValueCountFrequency (%)
711891 1
< 0.1%
711874 1
< 0.1%
711872 2
0.1%
711871 1
< 0.1%
711865 1
< 0.1%
711854 1
< 0.1%
711853 1
< 0.1%
711851 1
< 0.1%
711842 1
< 0.1%
711837 1
< 0.1%

사업장명
Text

Distinct1809
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
2023-12-11T03:45:30.432892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length10.453234
Min length3

Characters and Unicode

Total characters21011
Distinct characters405
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1635 ?
Unique (%)81.3%

Sample

1st row씨유대구중구문화점
2nd row세븐일레븐대구삼덕스타점
3rd row지에스25대구동산병원점
4th row(주)코리아세븐대구동성로타운점
5th row지에스25삼덕중앙점
ValueCountFrequency (%)
세븐일레븐 322
 
10.1%
씨유 250
 
7.9%
gs25 198
 
6.2%
지에스25 124
 
3.9%
미니스톱 44
 
1.4%
주)코리아세븐 44
 
1.4%
이마트24 42
 
1.3%
위드미 41
 
1.3%
cu 20
 
0.6%
지에스(gs)25 11
 
0.3%
Other values (1704) 2077
65.5%
2023-12-11T03:45:31.149089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 1958
 
9.3%
1168
 
5.6%
대 1161
 
5.5%
븐 1072
 
5.1%
구 1007
 
4.8%
2 722
 
3.4%
5 636
 
3.0%
세 595
 
2.8%
일 542
 
2.6%
레 510
 
2.4%
Other values (395) 11640
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17003
80.9%
Decimal Number 1450
 
6.9%
Space Separator 1168
 
5.6%
Uppercase Letter 1066
 
5.1%
Close Punctuation 151
 
0.7%
Open Punctuation 147
 
0.7%
Lowercase Letter 16
 
0.1%
Other Punctuation 5
 
< 0.1%
Other Symbol 4
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1958
 
11.5%
대 1161
 
6.8%
븐 1072
 
6.3%
구 1007
 
5.9%
세 595
 
3.5%
일 542
 
3.2%
레 510
 
3.0%
유 499
 
2.9%
씨 467
 
2.7%
스 436
 
2.6%
Other values (353) 8756
51.5%
Uppercase Letter
ValueCountFrequency (%)
S 446
41.8%
G 441
41.4%
C 76
 
7.1%
U 64
 
6.0%
B 6
 
0.6%
K 6
 
0.6%
I 6
 
0.6%
M 4
 
0.4%
L 3
 
0.3%
H 3
 
0.3%
Other values (8) 11
 
1.0%
Decimal Number
ValueCountFrequency (%)
2 722
49.8%
5 636
43.9%
4 66
 
4.6%
3 10
 
0.7%
1 9
 
0.6%
6 3
 
0.2%
8 2
 
0.1%
7 1
 
0.1%
0 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 5
31.2%
u 3
18.8%
y 2
 
12.5%
c 2
 
12.5%
s 1
 
6.2%
n 1
 
6.2%
a 1
 
6.2%
w 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
& 2
40.0%
Space Separator
ValueCountFrequency (%)
1168
100.0%
Close Punctuation
ValueCountFrequency (%)
) 151
100.0%
Open Punctuation
ValueCountFrequency (%)
( 147
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17007
80.9%
Common 2922
 
13.9%
Latin 1082
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1958
 
11.5%
대 1161
 
6.8%
븐 1072
 
6.3%
구 1007
 
5.9%
세 595
 
3.5%
일 542
 
3.2%
레 510
 
3.0%
유 499
 
2.9%
씨 467
 
2.7%
스 436
 
2.6%
Other values (354) 8760
51.5%
Latin
ValueCountFrequency (%)
S 446
41.2%
G 441
40.8%
C 76
 
7.0%
U 64
 
5.9%
B 6
 
0.6%
K 6
 
0.6%
I 6
 
0.6%
e 5
 
0.5%
M 4
 
0.4%
L 3
 
0.3%
Other values (16) 25
 
2.3%
Common
ValueCountFrequency (%)
1168
40.0%
2 722
24.7%
5 636
21.8%
) 151
 
5.2%
( 147
 
5.0%
4 66
 
2.3%
3 10
 
0.3%
1 9
 
0.3%
6 3
 
0.1%
. 3
 
0.1%
Other values (5) 7
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17003
80.9%
ASCII 4004
 
19.1%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 1958
 
11.5%
대 1161
 
6.8%
븐 1072
 
6.3%
구 1007
 
5.9%
세 595
 
3.5%
일 542
 
3.2%
레 510
 
3.0%
유 499
 
2.9%
씨 467
 
2.7%
스 436
 
2.6%
Other values (353) 8756
51.5%
ASCII
ValueCountFrequency (%)
1168
29.2%
2 722
18.0%
5 636
15.9%
S 446
 
11.1%
G 441
 
11.0%
) 151
 
3.8%
( 147
 
3.7%
C 76
 
1.9%
4 66
 
1.6%
U 64
 
1.6%
Other values (31) 87
 
2.2%
None
ValueCountFrequency (%)
㈜ 4
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct2010
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0165018 × 1013
Minimum2.0130708 × 1013
Maximum2.0190628 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-11T03:45:31.402134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0130708 × 1013
5-th percentile2.0130913 × 1013
Q12.0150907 × 1013
median2.0170323 × 1013
Q32.0180419 × 1013
95-th percentile2.0190429 × 1013
Maximum2.0190628 × 1013
Range5.9920003 × 1010
Interquartile range (IQR)2.9512035 × 1010

Descriptive statistics

Standard deviation1.7934876 × 1010
Coefficient of variation (CV)0.00088940541
Kurtosis-0.87426938
Mean2.0165018 × 1013
Median Absolute Deviation (MAD)1.030552 × 1010
Skewness-0.40494939
Sum4.0531686 × 1016
Variance3.2165977 × 1020
MonotonicityNot monotonic
2023-12-11T03:45:31.639974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190604174326 1
 
< 0.1%
20180828092131 1
 
< 0.1%
20180802115522 1
 
< 0.1%
20180727113628 1
 
< 0.1%
20180727111323 1
 
< 0.1%
20180725143414 1
 
< 0.1%
20180725141043 1
 
< 0.1%
20180921134217 1
 
< 0.1%
20180914175619 1
 
< 0.1%
20180920102705 1
 
< 0.1%
Other values (2000) 2000
99.5%
ValueCountFrequency (%)
20130708160205 1
< 0.1%
20130708180713 1
< 0.1%
20130708223139 1
< 0.1%
20130708223326 1
< 0.1%
20130708223441 1
< 0.1%
20130711100812 1
< 0.1%
20130712142224 1
< 0.1%
20130718152839 1
< 0.1%
20130718155609 1
< 0.1%
20130718161809 1
< 0.1%
ValueCountFrequency (%)
20190628163206 1
< 0.1%
20190628161630 1
< 0.1%
20190628111959 1
< 0.1%
20190628110622 1
< 0.1%
20190628105705 1
< 0.1%
20190628104324 1
< 0.1%
20190628102641 1
< 0.1%
20190628102316 1
< 0.1%
20190628094942 1
< 0.1%
20190628093600 1
< 0.1%

데이터갱신구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
I
1838 
U
 
171
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 1838
91.4%
U 171
 
8.5%
D 1
 
< 0.1%

Length

2023-12-11T03:45:31.859504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:45:32.003203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1838
91.4%
u 171
 
8.5%
d 1
 
< 0.1%

데이터갱신일자
Date

Distinct219
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size15.8 KiB
Minimum2018-08-31 23:59:59
Maximum2019-06-30 02:40:00
2023-12-11T03:45:32.180628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:45:32.392288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2010
Missing (%)100.0%
Memory size17.8 KiB

좌표정보(X)
Real number (ℝ)

Distinct1500
Distinct (%)75.4%
Missing20
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean342297.29
Minimum326534.61
Maximum358199.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-11T03:45:32.584352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326534.61
5-th percentile331805.06
Q1338704.9
median342489.1
Q3346352.65
95-th percentile353665.43
Maximum358199.77
Range31665.164
Interquartile range (IQR)7647.7534

Descriptive statistics

Standard deviation5954.3538
Coefficient of variation (CV)0.01739527
Kurtosis-0.098916584
Mean342297.29
Median Absolute Deviation (MAD)3821.4209
Skewness-0.010478445
Sum6.8117161 × 108
Variance35454329
MonotonicityNot monotonic
2023-12-11T03:45:32.745287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
338228.747139 5
 
0.2%
334124.907256 4
 
0.2%
345941.042641 4
 
0.2%
341191.739133 4
 
0.2%
346352.652255 4
 
0.2%
346750.765905 4
 
0.2%
345642.749839 4
 
0.2%
354163.022482 4
 
0.2%
344880.031603 4
 
0.2%
349247.68851 4
 
0.2%
Other values (1490) 1949
97.0%
(Missing) 20
 
1.0%
ValueCountFrequency (%)
326534.608033 1
< 0.1%
326703.14585 1
< 0.1%
327482.282524 1
< 0.1%
327853.173809 1
< 0.1%
327867.596131 1
< 0.1%
327886.992564 1
< 0.1%
327929.830024 1
< 0.1%
327971.945306 2
0.1%
327988.920936 2
0.1%
328063.279113 1
< 0.1%
ValueCountFrequency (%)
358199.771938 1
< 0.1%
358060.647419 1
< 0.1%
357646.727978 1
< 0.1%
356494.0 2
0.1%
356461.2317 2
0.1%
356430.936586 1
< 0.1%
356378.752341 1
< 0.1%
356370.495572 1
< 0.1%
356360.596835 2
0.1%
356329.958036 2
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct1499
Distinct (%)75.3%
Missing20
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean262751.85
Minimum240209.55
Maximum277923.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-11T03:45:32.971561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240209.55
5-th percentile248734.18
Q1261051
median263164.01
Q3265372.74
95-th percentile271225.93
Maximum277923.61
Range37714.063
Interquartile range (IQR)4321.7342

Descriptive statistics

Standard deviation5597.1538
Coefficient of variation (CV)0.021302053
Kurtosis4.1633521
Mean262751.85
Median Absolute Deviation (MAD)2177.5959
Skewness-1.4750271
Sum5.2287618 × 108
Variance31328131
MonotonicityNot monotonic
2023-12-11T03:45:33.562371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260459.13848 5
 
0.2%
262283.658375 4
 
0.2%
260658.668407 4
 
0.2%
273187.947313 4
 
0.2%
261187.18494 4
 
0.2%
263419.170947 4
 
0.2%
261466.71986 4
 
0.2%
261626.98391 4
 
0.2%
262791.924199 4
 
0.2%
265592.602726 4
 
0.2%
Other values (1489) 1949
97.0%
(Missing) 20
 
1.0%
ValueCountFrequency (%)
240209.547189 1
 
< 0.1%
240219.763777 1
 
< 0.1%
240270.873923 2
0.1%
240358.722944 1
 
< 0.1%
240405.052319 1
 
< 0.1%
240473.571874 1
 
< 0.1%
240481.502376 1
 
< 0.1%
240482.499847 1
 
< 0.1%
240550.011807 2
0.1%
240647.724889 3
0.1%
ValueCountFrequency (%)
277923.610317 1
 
< 0.1%
277798.822544 1
 
< 0.1%
277784.134758 3
0.1%
274164.908973 1
 
< 0.1%
274001.175164 1
 
< 0.1%
273800.20424 1
 
< 0.1%
273780.083988 1
 
< 0.1%
273755.872792 1
 
< 0.1%
273719.251935 1
 
< 0.1%
273541.143414 2
0.1%

판매점영업면적
Real number (ℝ)

MISSING 

Distinct251
Distinct (%)30.2%
Missing1178
Missing (%)58.6%
Infinite0
Infinite (%)0.0%
Mean57.332969
Minimum0.5
Maximum303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.8 KiB
2023-12-11T03:45:33.771065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile0.5
Q130
median54
Q383.0625
95-th percentile132
Maximum303
Range302.5
Interquartile range (IQR)53.0625

Descriptive statistics

Standard deviation44.156432
Coefficient of variation (CV)0.77017522
Kurtosis1.3966187
Mean57.332969
Median Absolute Deviation (MAD)29
Skewness0.75832325
Sum47701.03
Variance1949.7905
MonotonicityNot monotonic
2023-12-11T03:45:33.978160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5 134
 
6.7%
66.0 51
 
2.5%
49.5 47
 
2.3%
33.0 43
 
2.1%
1.0 34
 
1.7%
60.0 16
 
0.8%
50.0 15
 
0.7%
40.0 12
 
0.6%
100.0 9
 
0.4%
56.0 8
 
0.4%
Other values (241) 463
 
23.0%
(Missing) 1178
58.6%
ValueCountFrequency (%)
0.5 134
6.7%
1.0 34
 
1.7%
1.1 2
 
0.1%
1.5 3
 
0.1%
2.0 3
 
0.1%
3.0 3
 
0.1%
3.3 5
 
0.2%
5.0 1
 
< 0.1%
6.96 1
 
< 0.1%
10.0 4
 
0.2%
ValueCountFrequency (%)
303.0 1
< 0.1%
252.91 1
< 0.1%
240.0 1
< 0.1%
219.87 1
< 0.1%
200.0 1
< 0.1%
195.3 1
< 0.1%
179.0 1
< 0.1%
178.0 1
< 0.1%
177.45 1
< 0.1%
175.0 2
0.1%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
01안전상비의약품 판매업소01_01_05_P3410000PHMH32019341002308750001020190604<NA>1영업/정상13영업중<NA><NA><NA><NA>053-421-1723<NA><NA>대구광역시 중구 문화동 9번지 14호대구광역시 중구 국채보상로123길 16, 1층 (문화동)41913씨유대구중구문화점20190604174326I2019-06-06 02:21:04.0<NA>344209.943099264646.2256443.3
12안전상비의약품 판매업소01_01_05_P3410000PHMH32019341002308750000720190425<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동3가 243번지 4호대구광역시 중구 달구벌대로447길 43 (삼덕동3가)41948세븐일레븐대구삼덕스타점20190425175452I2019-04-27 02:20:31.0<NA>345143.259365263892.21349866.0
23안전상비의약품 판매업소01_01_05_P3410000PHMH32019341002308750001120190610<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동산동 194번지 계명대학교동산의료원대구광역시 중구 달성로 56, 계명대학교동산의료원 (동산동)41931지에스25대구동산병원점20190610175933I2019-06-12 02:21:25.0<NA>342935.432334264310.975711<NA>
34안전상비의약품 판매업소01_01_05_P3410000PHMH32019341002308750000920190509<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동1가 14번지 1호대구광역시 중구 동성로2길 18-19, 동성갤러리아 1층 105호 (삼덕동1가)41942(주)코리아세븐대구동성로타운점20190510090715I2019-05-12 02:20:43.0<NA>344194.613119264120.0310933.0
45안전상비의약품 판매업소01_01_05_P3410000PHMH32019341002308750001220190624<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동2가 284번지 1호 삼덕하이츠대구광역시 중구 달구벌대로443길 13, 삼덕하이츠 1층 (삼덕동2가)41948지에스25삼덕중앙점20190624170407I2019-06-26 02:21:21.0<NA>344898.75383263790.398021<NA>
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78안전상비의약품 판매업소01_01_05_P3410000PHMH32019341002308750000520190322<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 계산동2가 169번지 40호대구광역시 중구 달구벌대로415길 11, 1층 (계산동2가)41933씨스페이스중구현대점20190325113313U2019-03-27 02:40:00.0<NA>343515.945723264134.443859<NA>
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