Overview

Dataset statistics

Number of variables29
Number of observations2747
Missing cells17987
Missing cells (%)22.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory670.8 KiB
Average record size in memory250.0 B

Variable types

Numeric10
Categorical9
Text5
Unsupported4
DateTime1

Dataset

Description22년02월_6270000_대구광역시_01_01_05_P_안전상비의약품 판매업소
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092522&dataSetDetailId=DDI_0000092534&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
영업상태구분코드 is highly imbalanced (51.5%)Imbalance
영업상태명 is highly imbalanced (51.5%)Imbalance
상세영업상태코드 is highly imbalanced (51.5%)Imbalance
상세영업상태명 is highly imbalanced (51.5%)Imbalance
휴업시작일자 is highly imbalanced (99.5%)Imbalance
휴업종료일자 is highly imbalanced (99.5%)Imbalance
인허가취소일자 has 2747 (100.0%) missing valuesMissing
폐업일자 has 1754 (63.9%) missing valuesMissing
재개업일자 has 2747 (100.0%) missing valuesMissing
소재지전화 has 1379 (50.2%) missing valuesMissing
소재지면적 has 2747 (100.0%) missing valuesMissing
소재지우편번호 has 1926 (70.1%) missing valuesMissing
소재지전체주소 has 385 (14.0%) missing valuesMissing
업태구분명 has 2747 (100.0%) missing valuesMissing
좌표정보(X) has 58 (2.1%) missing valuesMissing
좌표정보(Y) has 58 (2.1%) missing valuesMissing
판매점영업면적 has 1438 (52.3%) 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
판매점영업면적 has 170 (6.2%) zerosZeros

Reproduction

Analysis started2023-12-10 20:23:38.996709
Analysis finished2023-12-10 20:23:40.317645
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2747
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1374
Minimum1
Maximum2747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T05:23:40.413620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile138.3
Q1687.5
median1374
Q32060.5
95-th percentile2609.7
Maximum2747
Range2746
Interquartile range (IQR)1373

Descriptive statistics

Standard deviation793.13492
Coefficient of variation (CV)0.57724521
Kurtosis-1.2
Mean1374
Median Absolute Deviation (MAD)687
Skewness0
Sum3774378
Variance629063
MonotonicityStrictly increasing
2023-12-11T05:23:40.623161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1836 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%
1834 1
 
< 0.1%
1835 1
 
< 0.1%
Other values (2737) 2737
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 (%)
2747 1
< 0.1%
2746 1
< 0.1%
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%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
안전상비의약품 판매업소
2747 

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 2747
100.0%

Length

2023-12-11T05:23:40.818796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:40.941590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전상비의약품 2747
50.0%
판매업소 2747
50.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
01_01_05_P
2747 

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 2747
100.0%

Length

2023-12-11T05:23:41.063788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:41.179578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_05_p 2747
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450422.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T05:23:41.535996image/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 deviation21499.76
Coefficient of variation (CV)0.0062310518
Kurtosis-1.0280109
Mean3450422.3
Median Absolute Deviation (MAD)20000
Skewness-0.44525917
Sum9.47831 × 109
Variance4.6223968 × 108
MonotonicityIncreasing
2023-12-11T05:23:41.709019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 627
22.8%
3450000 461
16.8%
3460000 438
15.9%
3420000 390
14.2%
3480000 280
10.2%
3440000 218
 
7.9%
3410000 181
 
6.6%
3430000 152
 
5.5%
ValueCountFrequency (%)
3410000 181
 
6.6%
3420000 390
14.2%
3430000 152
 
5.5%
3440000 218
 
7.9%
3450000 461
16.8%
3460000 438
15.9%
3470000 627
22.8%
3480000 280
10.2%
ValueCountFrequency (%)
3480000 280
10.2%
3470000 627
22.8%
3460000 438
15.9%
3450000 461
16.8%
3440000 218
 
7.9%
3430000 152
 
5.5%
3420000 390
14.2%
3410000 181
 
6.6%

관리번호
Text

UNIQUE 

Distinct2747
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
2023-12-11T05:23:42.011136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters68675
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

Unique2747 ?
Unique (%)100.0%

Sample

1st rowPHMH320173410023087500012
2nd rowPHMH320173410023087500013
3rd rowPHMH320173410023087500014
4th rowPHMH320173410023087500015
5th rowPHMH320173410023087500016
ValueCountFrequency (%)
phmh320173410023087500012 1
 
< 0.1%
phmh320173460023087500049 1
 
< 0.1%
phmh320163460023087500033 1
 
< 0.1%
phmh320203470022087500053 1
 
< 0.1%
phmh320163460023087500035 1
 
< 0.1%
phmh320163460023087500036 1
 
< 0.1%
phmh320173460023087500025 1
 
< 0.1%
phmh320173460023087500027 1
 
< 0.1%
phmh320173460023087500009 1
 
< 0.1%
phmh320173460023087500011 1
 
< 0.1%
Other values (2737) 2737
99.6%
2023-12-11T05:23:42.494370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20466
29.8%
2 8864
12.9%
3 7446
 
10.8%
H 5494
 
8.0%
1 4057
 
5.9%
7 4007
 
5.8%
5 3808
 
5.5%
4 3765
 
5.5%
8 3545
 
5.2%
P 2747
 
4.0%
Other values (3) 4476
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 57687
84.0%
Uppercase Letter 10988
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20466
35.5%
2 8864
15.4%
3 7446
 
12.9%
1 4057
 
7.0%
7 4007
 
6.9%
5 3808
 
6.6%
4 3765
 
6.5%
8 3545
 
6.1%
6 1021
 
1.8%
9 708
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
H 5494
50.0%
P 2747
25.0%
M 2747
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 57687
84.0%
Latin 10988
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 20466
35.5%
2 8864
15.4%
3 7446
 
12.9%
1 4057
 
7.0%
7 4007
 
6.9%
5 3808
 
6.6%
4 3765
 
6.5%
8 3545
 
6.1%
6 1021
 
1.8%
9 708
 
1.2%
Latin
ValueCountFrequency (%)
H 5494
50.0%
P 2747
25.0%
M 2747
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68675
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20466
29.8%
2 8864
12.9%
3 7446
 
10.8%
H 5494
 
8.0%
1 4057
 
5.9%
7 4007
 
5.8%
5 3808
 
5.5%
4 3765
 
5.5%
8 3545
 
5.2%
P 2747
 
4.0%
Other values (3) 4476
 
6.5%

인허가일자
Real number (ℝ)

Distinct1318
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20164884
Minimum20111114
Maximum20220223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T05:23:42.719682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20111114
5-th percentile20121106
Q120130702
median20170324
Q320190829
95-th percentile20210805
Maximum20220223
Range109109
Interquartile range (IQR)60127

Descriptive statistics

Standard deviation31647.931
Coefficient of variation (CV)0.0015694576
Kurtosis-1.3055345
Mean20164884
Median Absolute Deviation (MAD)29784
Skewness-0.082850874
Sum5.5392935 × 1010
Variance1.0015915 × 109
MonotonicityNot monotonic
2023-12-11T05:23:42.887410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121115 108
 
3.9%
20121109 71
 
2.6%
20121112 63
 
2.3%
20121114 48
 
1.7%
20121113 41
 
1.5%
20121107 41
 
1.5%
20121108 37
 
1.3%
20121102 30
 
1.1%
20121105 27
 
1.0%
20121101 20
 
0.7%
Other values (1308) 2261
82.3%
ValueCountFrequency (%)
20111114 2
 
0.1%
20111115 1
 
< 0.1%
20121022 1
 
< 0.1%
20121023 1
 
< 0.1%
20121024 6
 
0.2%
20121025 6
 
0.2%
20121026 3
 
0.1%
20121029 5
 
0.2%
20121030 6
 
0.2%
20121031 16
0.6%
ValueCountFrequency (%)
20220223 1
 
< 0.1%
20220222 3
0.1%
20220221 3
0.1%
20220218 1
 
< 0.1%
20220216 1
 
< 0.1%
20220215 2
0.1%
20220214 2
0.1%
20220211 1
 
< 0.1%
20220210 1
 
< 0.1%
20220128 2
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2747
Missing (%)100.0%
Memory size24.3 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
1
1753 
3
986 
4
 
7
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 1753
63.8%
3 986
35.9%
4 7
 
0.3%
2 1
 
< 0.1%

Length

2023-12-11T05:23:43.054282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:43.195198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1753
63.8%
3 986
35.9%
4 7
 
0.3%
2 1
 
< 0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
영업/정상
1753 
폐업
986 
취소/말소/만료/정지/중지
 
7
휴업
 
1

Length

Max length14
Median length5
Mean length3.9450309
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 1753
63.8%
폐업 986
35.9%
취소/말소/만료/정지/중지 7
 
0.3%
휴업 1
 
< 0.1%

Length

2023-12-11T05:23:43.341150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:43.476407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1753
63.8%
폐업 986
35.9%
취소/말소/만료/정지/중지 7
 
0.3%
휴업 1
 
< 0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
13
1753 
3
986 
24
 
7
2
 
1

Length

Max length2
Median length2
Mean length1.6406989
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 1753
63.8%
3 986
35.9%
24 7
 
0.3%
2 1
 
< 0.1%

Length

2023-12-11T05:23:43.614546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:43.778459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 1753
63.8%
3 986
35.9%
24 7
 
0.3%
2 1
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
영업중
1753 
폐업
986 
직권폐업
 
7
휴업
 
1

Length

Max length4
Median length3
Mean length2.6432472
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1753
63.8%
폐업 986
35.9%
직권폐업 7
 
0.3%
휴업 1
 
< 0.1%

Length

2023-12-11T05:23:43.982080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:44.162593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1753
63.8%
폐업 986
35.9%
직권폐업 7
 
0.3%
휴업 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct758
Distinct (%)76.3%
Missing1754
Missing (%)63.9%
Infinite0
Infinite (%)0.0%
Mean20176528
Minimum20121115
Maximum20220218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T05:23:44.361267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20121115
5-th percentile20131022
Q120160121
median20180607
Q320200413
95-th percentile20211001
Maximum20220218
Range99103
Interquartile range (IQR)40292

Descriptive statistics

Standard deviation25559.735
Coefficient of variation (CV)0.0012668054
Kurtosis-0.9621806
Mean20176528
Median Absolute Deviation (MAD)20003
Skewness-0.33637637
Sum2.0035293 × 1010
Variance6.5330008 × 108
MonotonicityNot monotonic
2023-12-11T05:23:44.619882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210405 6
 
0.2%
20170816 4
 
0.1%
20190425 4
 
0.1%
20180607 4
 
0.1%
20161228 4
 
0.1%
20200717 4
 
0.1%
20190430 4
 
0.1%
20211228 4
 
0.1%
20200429 4
 
0.1%
20121119 3
 
0.1%
Other values (748) 952
34.7%
(Missing) 1754
63.9%
ValueCountFrequency (%)
20121115 2
0.1%
20121116 3
0.1%
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 (%)
20220218 1
 
< 0.1%
20220216 1
 
< 0.1%
20220215 1
 
< 0.1%
20220210 1
 
< 0.1%
20220126 1
 
< 0.1%
20220125 1
 
< 0.1%
20220124 1
 
< 0.1%
20220121 3
0.1%
20220120 1
 
< 0.1%
20220119 1
 
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
<NA>
2746 
20170518
 
1

Length

Max length8
Median length4
Mean length4.0014561
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> 2746
> 99.9%
20170518 1
 
< 0.1%

Length

2023-12-11T05:23:44.873177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:45.034383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2746
> 99.9%
20170518 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
<NA>
2746 
20190228
 
1

Length

Max length8
Median length4
Mean length4.0014561
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> 2746
> 99.9%
20190228 1
 
< 0.1%

Length

2023-12-11T05:23:45.283318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:45.548575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2746
> 99.9%
20190228 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2747
Missing (%)100.0%
Memory size24.3 KiB

소재지전화
Text

MISSING 

Distinct1216
Distinct (%)88.9%
Missing1379
Missing (%)50.2%
Memory size21.6 KiB
2023-12-11T05:23:46.010185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.079678
Min length7

Characters and Unicode

Total characters15157
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1077 ?
Unique (%)78.7%

Sample

1st row252-5507
2nd row053-255-9655
3rd row053-255-5615
4th row053-256-8292
5th row053-+253-7719
ValueCountFrequency (%)
080-855-5525 4
 
0.3%
1577-9621 4
 
0.3%
053 4
 
0.3%
053-634-5643 3
 
0.2%
053-581-7732 3
 
0.2%
254-5915 3
 
0.2%
053-764-7644 3
 
0.2%
053-752-7709 3
 
0.2%
053-522-8880 3
 
0.2%
053-614-7268 3
 
0.2%
Other values (1209) 1342
97.6%
2023-12-11T05:23:46.828999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2373
15.7%
5 2296
15.1%
3 2056
13.6%
0 1706
11.3%
6 1205
8.0%
2 1179
7.8%
1 1032
6.8%
7 972
6.4%
8 814
 
5.4%
4 778
 
5.1%
Other values (4) 746
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12773
84.3%
Dash Punctuation 2373
 
15.7%
Space Separator 7
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2296
18.0%
3 2056
16.1%
0 1706
13.4%
6 1205
9.4%
2 1179
9.2%
1 1032
8.1%
7 972
7.6%
8 814
 
6.4%
4 778
 
6.1%
9 735
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 2373
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15157
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2373
15.7%
5 2296
15.1%
3 2056
13.6%
0 1706
11.3%
6 1205
8.0%
2 1179
7.8%
1 1032
6.8%
7 972
6.4%
8 814
 
5.4%
4 778
 
5.1%
Other values (4) 746
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15157
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2373
15.7%
5 2296
15.1%
3 2056
13.6%
0 1706
11.3%
6 1205
8.0%
2 1179
7.8%
1 1032
6.8%
7 972
6.4%
8 814
 
5.4%
4 778
 
5.1%
Other values (4) 746
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2747
Missing (%)100.0%
Memory size24.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct368
Distinct (%)44.8%
Missing1926
Missing (%)70.1%
Infinite0
Infinite (%)0.0%
Mean684130.97
Minimum41077
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T05:23:47.113450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41077
5-th percentile700111
Q1701847
median703815
Q3704946
95-th percentile711837
Maximum711891
Range670814
Interquartile range (IQR)3099

Descriptive statistics

Standard deviation113876.58
Coefficient of variation (CV)0.16645435
Kurtosis28.008401
Mean684130.97
Median Absolute Deviation (MAD)1775
Skewness-5.4696831
Sum5.6167153 × 108
Variance1.2967875 × 1010
MonotonicityNot monotonic
2023-12-11T05:23:47.382900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701847 14
 
0.5%
702886 12
 
0.4%
701827 11
 
0.4%
711812 10
 
0.4%
704914 9
 
0.3%
702868 9
 
0.3%
705831 8
 
0.3%
703848 8
 
0.3%
711891 8
 
0.3%
704922 7
 
0.3%
Other values (358) 725
 
26.4%
(Missing) 1926
70.1%
ValueCountFrequency (%)
41077 1
< 0.1%
41098 1
< 0.1%
41207 1
< 0.1%
41787 1
< 0.1%
41852 1
< 0.1%
41910 2
0.1%
41931 1
< 0.1%
41935 1
< 0.1%
41940 1
< 0.1%
41942 1
< 0.1%
ValueCountFrequency (%)
711891 8
0.3%
711874 4
0.1%
711873 3
 
0.1%
711872 6
0.2%
711871 1
 
< 0.1%
711865 4
0.1%
711858 1
 
< 0.1%
711857 1
 
< 0.1%
711854 6
0.2%
711853 1
 
< 0.1%

소재지전체주소
Text

MISSING 

Distinct1974
Distinct (%)83.6%
Missing385
Missing (%)14.0%
Memory size21.6 KiB
2023-12-11T05:23:47.975871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length23.124894
Min length12

Characters and Unicode

Total characters54621
Distinct characters331
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

Unique1658 ?
Unique (%)70.2%

Sample

1st row대구광역시 중구 동성로2가 33번지 1호
2nd row대구광역시 중구 삼덕동2가 29번지 4호
3rd row대구광역시 중구 문화동 2번지 3호
4th row대구광역시 중구 하서동 34번지 2호
5th row대구광역시 중구 동성로2가 68번지 8호
ValueCountFrequency (%)
대구광역시 2361
 
19.7%
달서구 620
 
5.2%
북구 461
 
3.9%
동구 322
 
2.7%
1호 282
 
2.4%
달성군 228
 
1.9%
수성구 220
 
1.8%
남구 216
 
1.8%
대명동 158
 
1.3%
서구 150
 
1.3%
Other values (2069) 6956
58.1%
2023-12-11T05:23:48.922660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9619
17.6%
구 4590
 
8.4%
1 2723
 
5.0%
대 2662
 
4.9%
동 2621
 
4.8%
시 2392
 
4.4%
역 2382
 
4.4%
광 2366
 
4.3%
지 2060
 
3.8%
번 1933
 
3.5%
Other values (321) 21273
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33625
61.6%
Decimal Number 10977
 
20.1%
Space Separator 9619
 
17.6%
Dash Punctuation 296
 
0.5%
Uppercase Letter 42
 
0.1%
Other Punctuation 38
 
0.1%
Lowercase Letter 8
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4590
13.7%
대 2662
 
7.9%
동 2621
 
7.8%
시 2392
 
7.1%
역 2382
 
7.1%
광 2366
 
7.0%
지 2060
 
6.1%
번 1933
 
5.7%
호 1751
 
5.2%
달 852
 
2.5%
Other values (286) 10016
29.8%
Uppercase Letter
ValueCountFrequency (%)
L 6
14.3%
H 6
14.3%
I 4
9.5%
O 4
9.5%
W 3
7.1%
T 3
7.1%
S 3
7.1%
E 2
 
4.8%
N 2
 
4.8%
R 2
 
4.8%
Other values (6) 7
16.7%
Decimal Number
ValueCountFrequency (%)
1 2723
24.8%
2 1305
11.9%
3 1088
 
9.9%
0 955
 
8.7%
4 916
 
8.3%
5 888
 
8.1%
9 817
 
7.4%
6 807
 
7.4%
7 795
 
7.2%
8 683
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 37
97.4%
& 1
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
e 7
87.5%
h 1
 
12.5%
Space Separator
ValueCountFrequency (%)
9619
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 296
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33625
61.6%
Common 20946
38.3%
Latin 50
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4590
13.7%
대 2662
 
7.9%
동 2621
 
7.8%
시 2392
 
7.1%
역 2382
 
7.1%
광 2366
 
7.0%
지 2060
 
6.1%
번 1933
 
5.7%
호 1751
 
5.2%
달 852
 
2.5%
Other values (286) 10016
29.8%
Latin
ValueCountFrequency (%)
e 7
14.0%
L 6
12.0%
H 6
12.0%
I 4
 
8.0%
O 4
 
8.0%
W 3
 
6.0%
T 3
 
6.0%
S 3
 
6.0%
E 2
 
4.0%
N 2
 
4.0%
Other values (8) 10
20.0%
Common
ValueCountFrequency (%)
9619
45.9%
1 2723
 
13.0%
2 1305
 
6.2%
3 1088
 
5.2%
0 955
 
4.6%
4 916
 
4.4%
5 888
 
4.2%
9 817
 
3.9%
6 807
 
3.9%
7 795
 
3.8%
Other values (7) 1033
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33625
61.6%
ASCII 20996
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9619
45.8%
1 2723
 
13.0%
2 1305
 
6.2%
3 1088
 
5.2%
0 955
 
4.5%
4 916
 
4.4%
5 888
 
4.2%
9 817
 
3.9%
6 807
 
3.8%
7 795
 
3.8%
Other values (25) 1083
 
5.2%
Hangul
ValueCountFrequency (%)
구 4590
13.7%
대 2662
 
7.9%
동 2621
 
7.8%
시 2392
 
7.1%
역 2382
 
7.1%
광 2366
 
7.0%
지 2060
 
6.1%
번 1933
 
5.7%
호 1751
 
5.2%
달 852
 
2.5%
Other values (286) 10016
29.8%

도로명전체주소
Text

Distinct2317
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
2023-12-11T05:23:49.588487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length60
Mean length28.852202
Min length19

Characters and Unicode

Total characters79257
Distinct characters395
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

Unique1962 ?
Unique (%)71.4%

Sample

1st row대구광역시 중구 중앙대로 274, 1층 (남산동)
2nd row대구광역시 중구 봉산문화길 76 (봉산동)
3rd row대구광역시 중구 동성로 49-2 (동성로2가)
4th row대구광역시 중구 공평로10길 44 (삼덕동2가)
5th row대구광역시 중구 교동2길 31 (문화동)
ValueCountFrequency (%)
대구광역시 2747
 
17.1%
1층 774
 
4.8%
달서구 627
 
3.9%
북구 461
 
2.9%
수성구 438
 
2.7%
동구 390
 
2.4%
달성군 280
 
1.7%
남구 218
 
1.4%
중구 181
 
1.1%
대명동 157
 
1.0%
Other values (2392) 9795
61.0%
2023-12-11T05:23:50.449223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13321
 
16.8%
구 5668
 
7.2%
1 3725
 
4.7%
대 3693
 
4.7%
동 3665
 
4.6%
시 2830
 
3.6%
역 2816
 
3.6%
광 2754
 
3.5%
로 2687
 
3.4%
) 2545
 
3.2%
Other values (385) 35553
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46290
58.4%
Space Separator 13321
 
16.8%
Decimal Number 12488
 
15.8%
Close Punctuation 2545
 
3.2%
Open Punctuation 2545
 
3.2%
Other Punctuation 1738
 
2.2%
Dash Punctuation 231
 
0.3%
Uppercase Letter 61
 
0.1%
Math Symbol 21
 
< 0.1%
Lowercase Letter 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5668
 
12.2%
대 3693
 
8.0%
동 3665
 
7.9%
시 2830
 
6.1%
역 2816
 
6.1%
광 2754
 
5.9%
로 2687
 
5.8%
길 1266
 
2.7%
성 1179
 
2.5%
달 1156
 
2.5%
Other values (344) 18576
40.1%
Uppercase Letter
ValueCountFrequency (%)
H 6
9.8%
D 6
9.8%
S 6
9.8%
L 5
 
8.2%
A 5
 
8.2%
K 4
 
6.6%
I 4
 
6.6%
T 4
 
6.6%
O 4
 
6.6%
W 3
 
4.9%
Other values (7) 14
23.0%
Decimal Number
ValueCountFrequency (%)
1 3725
29.8%
2 1597
12.8%
0 1330
 
10.7%
3 1225
 
9.8%
4 1021
 
8.2%
5 956
 
7.7%
6 768
 
6.1%
7 683
 
5.5%
8 599
 
4.8%
9 584
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
e 11
64.7%
a 2
 
11.8%
i 1
 
5.9%
n 1
 
5.9%
b 1
 
5.9%
h 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 1735
99.8%
. 2
 
0.1%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
13321
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2545
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2545
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 231
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46290
58.4%
Common 32889
41.5%
Latin 78
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5668
 
12.2%
대 3693
 
8.0%
동 3665
 
7.9%
시 2830
 
6.1%
역 2816
 
6.1%
광 2754
 
5.9%
로 2687
 
5.8%
길 1266
 
2.7%
성 1179
 
2.5%
달 1156
 
2.5%
Other values (344) 18576
40.1%
Latin
ValueCountFrequency (%)
e 11
14.1%
H 6
 
7.7%
D 6
 
7.7%
S 6
 
7.7%
L 5
 
6.4%
A 5
 
6.4%
K 4
 
5.1%
I 4
 
5.1%
T 4
 
5.1%
O 4
 
5.1%
Other values (13) 23
29.5%
Common
ValueCountFrequency (%)
13321
40.5%
1 3725
 
11.3%
) 2545
 
7.7%
( 2545
 
7.7%
, 1735
 
5.3%
2 1597
 
4.9%
0 1330
 
4.0%
3 1225
 
3.7%
4 1021
 
3.1%
5 956
 
2.9%
Other values (8) 2889
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46290
58.4%
ASCII 32967
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13321
40.4%
1 3725
 
11.3%
) 2545
 
7.7%
( 2545
 
7.7%
, 1735
 
5.3%
2 1597
 
4.8%
0 1330
 
4.0%
3 1225
 
3.7%
4 1021
 
3.1%
5 956
 
2.9%
Other values (31) 2967
 
9.0%
Hangul
ValueCountFrequency (%)
구 5668
 
12.2%
대 3693
 
8.0%
동 3665
 
7.9%
시 2830
 
6.1%
역 2816
 
6.1%
광 2754
 
5.9%
로 2687
 
5.8%
길 1266
 
2.7%
성 1179
 
2.5%
달 1156
 
2.5%
Other values (344) 18576
40.1%

도로명우편번호
Real number (ℝ)

Distinct1100
Distinct (%)40.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean92980.882
Minimum1111
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T05:23:50.695782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1111
5-th percentile41111
Q141547.25
median42185
Q342748
95-th percentile702885
Maximum711891
Range710780
Interquartile range (IQR)1200.75

Descriptive statistics

Standard deviation176512.58
Coefficient of variation (CV)1.8983749
Kurtosis8.1144261
Mean92980.882
Median Absolute Deviation (MAD)596
Skewness3.179217
Sum2.553255 × 108
Variance3.115669 × 1010
MonotonicityNot monotonic
2023-12-11T05:23:50.996540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42708 20
 
0.7%
43008 16
 
0.6%
42614 15
 
0.5%
41544 14
 
0.5%
42430 13
 
0.5%
42714 13
 
0.5%
41423 12
 
0.4%
42995 12
 
0.4%
41942 11
 
0.4%
41416 11
 
0.4%
Other values (1090) 2609
95.0%
ValueCountFrequency (%)
1111 2
 
0.1%
41001 1
 
< 0.1%
41002 2
 
0.1%
41003 4
0.1%
41005 3
0.1%
41007 5
0.2%
41022 1
 
< 0.1%
41023 2
 
0.1%
41024 1
 
< 0.1%
41025 1
 
< 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

Distinct2447
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
2023-12-11T05:23:51.412417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length10.901347
Min length3

Characters and Unicode

Total characters29946
Distinct characters435
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

Unique2185 ?
Unique (%)79.5%

Sample

1st row지에스25 대구남산점
2nd row세븐일레븐 대구봉산문화점
3rd row이마트24대구본점
4th row지에스25 대구중앙점
5th row세븐일레븐 대구교동수현점
ValueCountFrequency (%)
세븐일레븐 474
 
10.6%
씨유 386
 
8.6%
gs25 219
 
4.9%
지에스25 182
 
4.1%
지에스(gs)25 102
 
2.3%
이마트24 87
 
1.9%
미니스톱 68
 
1.5%
주)코리아세븐 64
 
1.4%
위드미 35
 
0.8%
cu 24
 
0.5%
Other values (2285) 2847
63.4%
2023-12-11T05:23:52.149197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 2679
 
8.9%
1748
 
5.8%
대 1614
 
5.4%
븐 1432
 
4.8%
구 1402
 
4.7%
2 1020
 
3.4%
5 875
 
2.9%
세 793
 
2.6%
일 723
 
2.4%
스 719
 
2.4%
Other values (425) 16941
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23964
80.0%
Decimal Number 2058
 
6.9%
Space Separator 1748
 
5.8%
Uppercase Letter 1500
 
5.0%
Close Punctuation 322
 
1.1%
Open Punctuation 317
 
1.1%
Lowercase Letter 25
 
0.1%
Other Symbol 6
 
< 0.1%
Other Punctuation 5
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2679
 
11.2%
대 1614
 
6.7%
븐 1432
 
6.0%
구 1402
 
5.9%
세 793
 
3.3%
일 723
 
3.0%
스 719
 
3.0%
유 717
 
3.0%
레 682
 
2.8%
씨 673
 
2.8%
Other values (377) 12530
52.3%
Uppercase Letter
ValueCountFrequency (%)
S 623
41.5%
G 617
41.1%
C 104
 
6.9%
U 88
 
5.9%
R 13
 
0.9%
K 9
 
0.6%
B 8
 
0.5%
I 7
 
0.5%
M 6
 
0.4%
L 5
 
0.3%
Other values (10) 20
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
e 8
32.0%
u 3
 
12.0%
s 2
 
8.0%
a 2
 
8.0%
y 2
 
8.0%
c 2
 
8.0%
k 1
 
4.0%
m 1
 
4.0%
r 1
 
4.0%
n 1
 
4.0%
Other values (2) 2
 
8.0%
Decimal Number
ValueCountFrequency (%)
2 1020
49.6%
5 875
42.5%
4 125
 
6.1%
1 17
 
0.8%
3 14
 
0.7%
6 3
 
0.1%
8 2
 
0.1%
7 1
 
< 0.1%
0 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
& 2
40.0%
Space Separator
ValueCountFrequency (%)
1748
100.0%
Close Punctuation
ValueCountFrequency (%)
) 322
100.0%
Open Punctuation
ValueCountFrequency (%)
( 317
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23970
80.0%
Common 4451
 
14.9%
Latin 1525
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2679
 
11.2%
대 1614
 
6.7%
븐 1432
 
6.0%
구 1402
 
5.8%
세 793
 
3.3%
일 723
 
3.0%
스 719
 
3.0%
유 717
 
3.0%
레 682
 
2.8%
씨 673
 
2.8%
Other values (378) 12536
52.3%
Latin
ValueCountFrequency (%)
S 623
40.9%
G 617
40.5%
C 104
 
6.8%
U 88
 
5.8%
R 13
 
0.9%
K 9
 
0.6%
B 8
 
0.5%
e 8
 
0.5%
I 7
 
0.5%
M 6
 
0.4%
Other values (22) 42
 
2.8%
Common
ValueCountFrequency (%)
1748
39.3%
2 1020
22.9%
5 875
19.7%
) 322
 
7.2%
( 317
 
7.1%
4 125
 
2.8%
1 17
 
0.4%
3 14
 
0.3%
. 3
 
0.1%
6 3
 
0.1%
Other values (5) 7
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23964
80.0%
ASCII 5976
 
20.0%
None 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 2679
 
11.2%
대 1614
 
6.7%
븐 1432
 
6.0%
구 1402
 
5.9%
세 793
 
3.3%
일 723
 
3.0%
스 719
 
3.0%
유 717
 
3.0%
레 682
 
2.8%
씨 673
 
2.8%
Other values (377) 12530
52.3%
ASCII
ValueCountFrequency (%)
1748
29.3%
2 1020
17.1%
5 875
14.6%
S 623
 
10.4%
G 617
 
10.3%
) 322
 
5.4%
( 317
 
5.3%
4 125
 
2.1%
C 104
 
1.7%
U 88
 
1.5%
Other values (37) 137
 
2.3%
None
ValueCountFrequency (%)
㈜ 6
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct2747
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0181631 × 1013
Minimum2.0130708 × 1013
Maximum2.0220225 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T05:23:52.399713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0130708 × 1013
5-th percentile2.0140205 × 1013
Q12.0161214 × 1013
median2.0181224 × 1013
Q32.0200865 × 1013
95-th percentile2.0211118 × 1013
Maximum2.0220225 × 1013
Range8.9516942 × 1010
Interquartile range (IQR)3.9650479 × 1010

Descriptive statistics

Standard deviation2.4531472 × 1010
Coefficient of variation (CV)0.0012155347
Kurtosis-0.81846948
Mean2.0181631 × 1013
Median Absolute Deviation (MAD)1.9783032 × 1010
Skewness-0.45187663
Sum5.543894 × 1016
Variance6.0179313 × 1020
MonotonicityNot monotonic
2023-12-11T05:23:52.668946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170821134756 1
 
< 0.1%
20180109111937 1
 
< 0.1%
20200103095223 1
 
< 0.1%
20200622173627 1
 
< 0.1%
20200828142919 1
 
< 0.1%
20190129091614 1
 
< 0.1%
20200603153819 1
 
< 0.1%
20181203164643 1
 
< 0.1%
20201022132501 1
 
< 0.1%
20170907181152 1
 
< 0.1%
Other values (2737) 2737
99.6%
ValueCountFrequency (%)
20130708160205 1
< 0.1%
20130708180713 1
< 0.1%
20130708223139 1
< 0.1%
20130708223326 1
< 0.1%
20130708223441 1
< 0.1%
20130712142224 1
< 0.1%
20130718152839 1
< 0.1%
20130718161809 1
< 0.1%
20130718164134 1
< 0.1%
20130718164708 1
< 0.1%
ValueCountFrequency (%)
20220225102636 1
< 0.1%
20220224160305 1
< 0.1%
20220223155725 1
< 0.1%
20220222182849 1
< 0.1%
20220222182804 1
< 0.1%
20220222180959 1
< 0.1%
20220222173140 1
< 0.1%
20220221155706 1
< 0.1%
20220221112951 1
< 0.1%
20220221093857 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
I
2081 
U
666 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2081
75.8%
U 666
 
24.2%

Length

2023-12-11T05:23:52.898989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:53.049951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2081
75.8%
u 666
 
24.2%

데이터갱신일자
Date

Distinct928
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
Minimum2018-08-31 23:59:59
Maximum2022-02-27 02:40:00
2023-12-11T05:23:53.315036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:23:53.672950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2747
Missing (%)100.0%
Memory size24.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1947
Distinct (%)72.4%
Missing58
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean342323.28
Minimum326534.61
Maximum358199.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T05:23:53.998592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326534.61
5-th percentile331798.31
Q1338718.49
median342423.97
Q3346350.67
95-th percentile353751.31
Maximum358199.77
Range31665.164
Interquartile range (IQR)7632.179

Descriptive statistics

Standard deviation5962.6622
Coefficient of variation (CV)0.01741822
Kurtosis-0.060240659
Mean342323.28
Median Absolute Deviation (MAD)3771.2482
Skewness-0.0019801962
Sum9.205073 × 108
Variance35553340
MonotonicityNot monotonic
2023-12-11T05:23:54.279794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
354404.939776 6
 
0.2%
345642.749839 6
 
0.2%
338228.747139 5
 
0.2%
339401.31576 5
 
0.2%
336613.538662 5
 
0.2%
346750.765905 5
 
0.2%
341191.739133 5
 
0.2%
334124.907256 5
 
0.2%
329334.355117 4
 
0.1%
354163.022482 4
 
0.1%
Other values (1937) 2639
96.1%
(Missing) 58
 
2.1%
ValueCountFrequency (%)
326534.608033 1
< 0.1%
326635.578062 1
< 0.1%
326680.0 1
< 0.1%
326703.14585 1
< 0.1%
327220.136878 1
< 0.1%
327251.925896 1
< 0.1%
327260.013858 1
< 0.1%
327482.282524 1
< 0.1%
327853.173809 2
0.1%
327867.596131 1
< 0.1%
ValueCountFrequency (%)
358199.771938 1
< 0.1%
358060.647419 1
< 0.1%
357916.122672 1
< 0.1%
357646.727978 1
< 0.1%
356668.763448 1
< 0.1%
356548.207715 1
< 0.1%
356494.0 2
0.1%
356482.709545 1
< 0.1%
356461.2317 2
0.1%
356430.936586 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1945
Distinct (%)72.3%
Missing58
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean262664.85
Minimum240209.55
Maximum277923.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T05:23:54.585646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240209.55
5-th percentile248697.69
Q1260939.3
median263115.06
Q3265340.66
95-th percentile271237.66
Maximum277923.61
Range37714.063
Interquartile range (IQR)4401.3541

Descriptive statistics

Standard deviation5647.5251
Coefficient of variation (CV)0.021500879
Kurtosis4.0548867
Mean262664.85
Median Absolute Deviation (MAD)2198.8541
Skewness-1.4581018
Sum7.0630577 × 108
Variance31894540
MonotonicityNot monotonic
2023-12-11T05:23:55.315973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260758.910042 6
 
0.2%
261466.71986 6
 
0.2%
260459.13848 5
 
0.2%
268552.162253 5
 
0.2%
258587.145124 5
 
0.2%
273187.947313 5
 
0.2%
263419.170947 5
 
0.2%
262283.658375 5
 
0.2%
264159.874982 4
 
0.1%
262543.503814 4
 
0.1%
Other values (1935) 2639
96.1%
(Missing) 58
 
2.1%
ValueCountFrequency (%)
240209.547189 1
 
< 0.1%
240219.763777 1
 
< 0.1%
240270.873923 3
0.1%
240358.722944 2
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%
240575.186404 1
 
< 0.1%
ValueCountFrequency (%)
277923.610317 1
 
< 0.1%
277798.822544 2
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 2
0.1%
273719.251935 1
 
< 0.1%
273544.873847 1
 
< 0.1%

판매점영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct323
Distinct (%)24.7%
Missing1438
Missing (%)52.3%
Infinite0
Infinite (%)0.0%
Mean51.047242
Minimum0
Maximum1035
Zeros170
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2023-12-11T05:23:55.581921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median49.5
Q379.72
95-th percentile131.6
Maximum1035
Range1035
Interquartile range (IQR)79.22

Descriptive statistics

Standard deviation55.819629
Coefficient of variation (CV)1.0934896
Kurtosis80.349133
Mean51.047242
Median Absolute Deviation (MAD)46.2
Skewness5.3552783
Sum66820.84
Variance3115.831
MonotonicityNot monotonic
2023-12-11T05:23:55.822928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 170
 
6.2%
0.5 158
 
5.8%
1.0 75
 
2.7%
66.0 62
 
2.3%
49.5 52
 
1.9%
33.0 45
 
1.6%
3.3 25
 
0.9%
50.0 19
 
0.7%
60.0 17
 
0.6%
99.0 15
 
0.5%
Other values (313) 671
24.4%
(Missing) 1438
52.3%
ValueCountFrequency (%)
0.0 170
6.2%
0.5 158
5.8%
1.0 75
2.7%
1.1 2
 
0.1%
1.5 3
 
0.1%
2.0 6
 
0.2%
2.2 1
 
< 0.1%
3.0 6
 
0.2%
3.3 25
 
0.9%
5.0 4
 
0.1%
ValueCountFrequency (%)
1035.0 1
< 0.1%
604.5 1
< 0.1%
303.0 1
< 0.1%
252.91 1
< 0.1%
240.0 2
0.1%
231.0 1
< 0.1%
219.87 1
< 0.1%
200.0 1
< 0.1%
195.3 1
< 0.1%
188.8 1
< 0.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)판매점영업면적
01안전상비의약품 판매업소01_01_05_P3410000PHMH32017341002308750001220170821<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 중앙대로 274, 1층 (남산동)41963지에스25 대구남산점20170821134756I2018-08-31 23:59:59.0<NA>343676.003166263117.859579<NA>
12안전상비의약품 판매업소01_01_05_P3410000PHMH32017341002308750001320170925<NA>1영업/정상13영업중<NA><NA><NA><NA>252-5507<NA><NA><NA>대구광역시 중구 봉산문화길 76 (봉산동)41959세븐일레븐 대구봉산문화점20170925112520I2018-08-31 23:59:59.0<NA>344184.908314263750.195022<NA>
23안전상비의약품 판매업소01_01_05_P3410000PHMH32017341002308750001420171026<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 33번지 1호대구광역시 중구 동성로 49-2 (동성로2가)41909이마트24대구본점20210125180536U2021-01-27 02:40:00.0<NA>344009.191477264615.758531<NA>
34안전상비의약품 판매업소01_01_05_P3410000PHMH32017341002308750001520171030<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동2가 29번지 4호대구광역시 중구 공평로10길 44 (삼덕동2가)41940지에스25 대구중앙점20220208181438U2022-02-10 02:40:00.0<NA>344633.450663264235.4951890.0
45안전상비의약품 판매업소01_01_05_P3410000PHMH32017341002308750001620171031<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 문화동 2번지 3호대구광역시 중구 교동2길 31 (문화동)41912세븐일레븐 대구교동수현점20171101092259I2018-08-31 23:59:59.0<NA>344233.492407264814.09493<NA>
56안전상비의약품 판매업소01_01_05_P3410000PHMH32017341002308750001720171115<NA>1영업/정상13영업중<NA><NA><NA><NA>053-255-9655<NA><NA>대구광역시 중구 하서동 34번지 2호대구광역시 중구 국채보상로 522 (하서동)41934GS25대구서성로점20171116091602I2018-08-31 23:59:59.0<NA>343331.639974264456.54329<NA>
67안전상비의약품 판매업소01_01_05_P3410000PHMH32017341002308750001820171221<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 중앙대로 336, 1층 (남산동)41957씨유대구반월당점20171221151855I2018-08-31 23:59:59.0<NA>343857.608893263713.48022749.6
78안전상비의약품 판매업소01_01_05_P3410000PHMH32018341002308750000120180102<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 교동4길 16 (교동)41910이마트24대구교동중앙점20180103090441I2018-08-31 23:59:59.0<NA>344364.819608264864.173849<NA>
89안전상비의약품 판매업소01_01_05_P3410000PHMH32018341002308750000220180118<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>41957<NA>대구광역시 중구 명륜로23길 97 (남산동)41957지에스25대구반월중앙점20180119091025I2018-08-31 23:59:59.0<NA>343955.561555263847.757249120.0
910안전상비의약품 판매업소01_01_05_P3410000PHMH32018341002308750000320180207<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 68번지 8호대구광역시 중구 동성로2길 87, 1층 (동성로2가)41938(주)코리아세븐 대구동성로본점20180208090105I2018-08-31 23:59:59.0<NA>344158.109839264477.407942<NA>
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