Overview

Dataset statistics

Number of variables30
Number of observations2808
Missing cells15287
Missing cells (%)18.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory710.4 KiB
Average record size in memory259.0 B

Variable types

Numeric11
Categorical9
Text5
Unsupported4
DateTime1

Dataset

Description22년12월_6270000_대구광역시_01_01_06_P_약국
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097393&dataSetDetailId=DDI_0000097403&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
휴업시작일자 is highly imbalanced (99.5%)Imbalance
휴업종료일자 is highly imbalanced (99.5%)Imbalance
인허가취소일자 has 2808 (100.0%) missing valuesMissing
폐업일자 has 1312 (46.7%) missing valuesMissing
재개업일자 has 2808 (100.0%) missing valuesMissing
소재지전화 has 158 (5.6%) missing valuesMissing
소재지면적 has 2808 (100.0%) missing valuesMissing
소재지우편번호 has 982 (35.0%) missing valuesMissing
소재지전체주소 has 112 (4.0%) missing valuesMissing
도로명전체주소 has 292 (10.4%) missing valuesMissing
도로명우편번호 has 557 (19.8%) missing valuesMissing
업태구분명 has 2808 (100.0%) missing valuesMissing
좌표정보(X) has 320 (11.4%) missing valuesMissing
좌표정보(Y) has 320 (11.4%) missing valuesMissing
약국영업면적 is highly skewed (γ1 = 45.16831787)Skewed
번호 has unique valuesUnique
관리번호 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
약국영업면적 has 99 (3.5%) zerosZeros

Reproduction

Analysis started2023-12-10 17:51:44.027297
Analysis finished2023-12-10 17:51:46.439607
Duration2.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2808
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1404.5
Minimum1
Maximum2808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.8 KiB
2023-12-11T02:51:46.582766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile141.35
Q1702.75
median1404.5
Q32106.25
95-th percentile2667.65
Maximum2808
Range2807
Interquartile range (IQR)1403.5

Descriptive statistics

Standard deviation810.7441
Coefficient of variation (CV)0.57724749
Kurtosis-1.2
Mean1404.5
Median Absolute Deviation (MAD)702
Skewness0
Sum3943836
Variance657306
MonotonicityStrictly increasing
2023-12-11T02:51:46.859487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1877 1
 
< 0.1%
1869 1
 
< 0.1%
1870 1
 
< 0.1%
1871 1
 
< 0.1%
1872 1
 
< 0.1%
1873 1
 
< 0.1%
1874 1
 
< 0.1%
1875 1
 
< 0.1%
1876 1
 
< 0.1%
Other values (2798) 2798
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 (%)
2808 1
< 0.1%
2807 1
< 0.1%
2806 1
< 0.1%
2805 1
< 0.1%
2804 1
< 0.1%
2803 1
< 0.1%
2802 1
< 0.1%
2801 1
< 0.1%
2800 1
< 0.1%
2799 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.1 KiB
약국
2808 

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 2808
100.0%

Length

2023-12-11T02:51:47.105738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:47.281921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
약국 2808
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.1 KiB
01_01_06_P
2808 

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 2808
100.0%

Length

2023-12-11T02:51:47.482181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:47.664120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_06_p 2808
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446563.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.8 KiB
2023-12-11T02:51:47.848513image/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 deviation21898.954
Coefficient of variation (CV)0.0063538522
Kurtosis-1.1763617
Mean3446563.4
Median Absolute Deviation (MAD)20000
Skewness-0.2751237
Sum9.67795 × 109
Variance4.795642 × 108
MonotonicityIncreasing
2023-12-11T02:51:48.119904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 552
19.7%
3450000 487
17.3%
3460000 425
15.1%
3420000 349
12.4%
3410000 318
11.3%
3430000 250
8.9%
3440000 239
8.5%
3480000 188
 
6.7%
ValueCountFrequency (%)
3410000 318
11.3%
3420000 349
12.4%
3430000 250
8.9%
3440000 239
8.5%
3450000 487
17.3%
3460000 425
15.1%
3470000 552
19.7%
3480000 188
 
6.7%
ValueCountFrequency (%)
3480000 188
 
6.7%
3470000 552
19.7%
3460000 425
15.1%
3450000 487
17.3%
3440000 239
8.5%
3430000 250
8.9%
3420000 349
12.4%
3410000 318
11.3%

관리번호
Text

UNIQUE 

Distinct2808
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size22.1 KiB
2023-12-11T02:51:48.999325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters70200
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

Unique2808 ?
Unique (%)100.0%

Sample

1st rowPHMD120183410023084000002
2nd rowPHMD119833410023084000002
3rd rowPHMD119843410023084000001
4th rowPHMD119853410023084000001
5th rowPHMD119963410023084000001
ValueCountFrequency (%)
phmd120183410023084000002 1
 
< 0.1%
phmd120193460023084000005 1
 
< 0.1%
phmd120103460023084000007 1
 
< 0.1%
phmd120163460023084000017 1
 
< 0.1%
phmd120163460023084000019 1
 
< 0.1%
phmd120173460023084000001 1
 
< 0.1%
phmd120173460023084000003 1
 
< 0.1%
phmd120173460023084000004 1
 
< 0.1%
phmd120173460023084000006 1
 
< 0.1%
phmd120173460023084000010 1
 
< 0.1%
Other values (2798) 2798
99.6%
2023-12-11T02:51:49.765857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25378
36.2%
2 7433
 
10.6%
1 6828
 
9.7%
4 6607
 
9.4%
3 4748
 
6.8%
8 3666
 
5.2%
P 2808
 
4.0%
H 2808
 
4.0%
M 2808
 
4.0%
D 2808
 
4.0%
Other values (4) 4308
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58968
84.0%
Uppercase Letter 11232
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25378
43.0%
2 7433
 
12.6%
1 6828
 
11.6%
4 6607
 
11.2%
3 4748
 
8.1%
8 3666
 
6.2%
9 1211
 
2.1%
7 1159
 
2.0%
5 999
 
1.7%
6 939
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
P 2808
25.0%
H 2808
25.0%
M 2808
25.0%
D 2808
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58968
84.0%
Latin 11232
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25378
43.0%
2 7433
 
12.6%
1 6828
 
11.6%
4 6607
 
11.2%
3 4748
 
8.1%
8 3666
 
6.2%
9 1211
 
2.1%
7 1159
 
2.0%
5 999
 
1.7%
6 939
 
1.6%
Latin
ValueCountFrequency (%)
P 2808
25.0%
H 2808
25.0%
M 2808
25.0%
D 2808
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25378
36.2%
2 7433
 
10.6%
1 6828
 
9.7%
4 6607
 
9.4%
3 4748
 
6.8%
8 3666
 
5.2%
P 2808
 
4.0%
H 2808
 
4.0%
M 2808
 
4.0%
D 2808
 
4.0%
Other values (4) 4308
 
6.1%

인허가일자
Real number (ℝ)

Distinct2128
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20080365
Minimum19590406
Maximum20221209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.8 KiB
2023-12-11T02:51:50.099036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19590406
5-th percentile19820955
Q120050130
median20100802
Q320151102
95-th percentile20200514
Maximum20221209
Range630803
Interquartile range (IQR)100972.5

Descriptive statistics

Standard deviation108650.09
Coefficient of variation (CV)0.0054107628
Kurtosis3.159138
Mean20080365
Median Absolute Deviation (MAD)50497
Skewness-1.6839965
Sum5.6385665 × 1010
Variance1.1804842 × 1010
MonotonicityNot monotonic
2023-12-11T02:51:50.430007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000801 7
 
0.2%
20140102 6
 
0.2%
20180702 6
 
0.2%
20190102 6
 
0.2%
20160901 5
 
0.2%
20150518 5
 
0.2%
20130603 5
 
0.2%
20150202 5
 
0.2%
20100302 5
 
0.2%
20140609 5
 
0.2%
Other values (2118) 2753
98.0%
ValueCountFrequency (%)
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%
19650903 1
< 0.1%
ValueCountFrequency (%)
20221209 1
< 0.1%
20221208 1
< 0.1%
20221202 1
< 0.1%
20221101 1
< 0.1%
20221026 1
< 0.1%
20221024 1
< 0.1%
20221020 2
0.1%
20221013 1
< 0.1%
20221011 2
0.1%
20221007 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2808
Missing (%)100.0%
Memory size24.8 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.1 KiB
3
1489 
1
1311 
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 (%)
3 1489
53.0%
1 1311
46.7%
4 7
 
0.2%
2 1
 
< 0.1%

Length

2023-12-11T02:51:50.734162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:50.938500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1489
53.0%
1 1311
46.7%
4 7
 
0.2%
2 1
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.1 KiB
폐업
1489 
영업/정상
1311 
취소/말소/만료/정지/중지
 
7
휴업
 
1

Length

Max length14
Median length2
Mean length3.4305556
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 (%)
폐업 1489
53.0%
영업/정상 1311
46.7%
취소/말소/만료/정지/중지 7
 
0.2%
휴업 1
 
< 0.1%

Length

2023-12-11T02:51:51.180652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:51.431122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1489
53.0%
영업/정상 1311
46.7%
취소/말소/만료/정지/중지 7
 
0.2%
휴업 1
 
< 0.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.1 KiB
3
1489 
13
1311 
24
 
7
2
 
1

Length

Max length2
Median length1
Mean length1.4693732
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 1489
53.0%
13 1311
46.7%
24 7
 
0.2%
2 1
 
< 0.1%

Length

2023-12-11T02:51:51.700032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:51.949394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1489
53.0%
13 1311
46.7%
24 7
 
0.2%
2 1
 
< 0.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.1 KiB
폐업
1489 
영업중
1311 
직권폐업
 
7
휴업
 
1

Length

Max length4
Median length2
Mean length2.4718661
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1489
53.0%
영업중 1311
46.7%
직권폐업 7
 
0.2%
휴업 1
 
< 0.1%

Length

2023-12-11T02:51:52.253318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:52.633330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1489
53.0%
영업중 1311
46.7%
직권폐업 7
 
0.2%
휴업 1
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1067
Distinct (%)71.3%
Missing1312
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean20141272
Minimum20070514
Maximum20221229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.8 KiB
2023-12-11T02:51:52.892364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070514
5-th percentile20090302
Q120110502
median20140120
Q320170720
95-th percentile20210324
Maximum20221229
Range150715
Interquartile range (IQR)60217.5

Descriptive statistics

Standard deviation37425.603
Coefficient of variation (CV)0.001858155
Kurtosis-0.93000314
Mean20141272
Median Absolute Deviation (MAD)30083.5
Skewness0.28401873
Sum3.0131342 × 1010
Variance1.4006758 × 109
MonotonicityNot monotonic
2023-12-11T02:51:53.459838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180702 6
 
0.2%
20130603 6
 
0.2%
20190701 5
 
0.2%
20221007 5
 
0.2%
20160104 5
 
0.2%
20131231 5
 
0.2%
20081202 5
 
0.2%
20150701 5
 
0.2%
20140102 5
 
0.2%
20160901 5
 
0.2%
Other values (1057) 1444
51.4%
(Missing) 1312
46.7%
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 (%)
20221229 1
 
< 0.1%
20221214 1
 
< 0.1%
20221213 1
 
< 0.1%
20221111 1
 
< 0.1%
20221102 1
 
< 0.1%
20221101 1
 
< 0.1%
20221018 1
 
< 0.1%
20221007 5
0.2%
20221006 1
 
< 0.1%
20220927 1
 
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.1 KiB
<NA>
2807 
20221229
 
1

Length

Max length8
Median length4
Mean length4.0014245
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> 2807
> 99.9%
20221229 1
 
< 0.1%

Length

2023-12-11T02:51:53.951730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:54.551256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2807
> 99.9%
20221229 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.1 KiB
<NA>
2807 
20231031
 
1

Length

Max length8
Median length4
Mean length4.0014245
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> 2807
> 99.9%
20231031 1
 
< 0.1%

Length

2023-12-11T02:51:55.750250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:57.441077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2807
> 99.9%
20231031 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2808
Missing (%)100.0%
Memory size24.8 KiB

소재지전화
Text

MISSING 

Distinct2168
Distinct (%)81.8%
Missing158
Missing (%)5.6%
Memory size22.1 KiB
2023-12-11T02:51:58.719999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.85283
Min length1

Characters and Unicode

Total characters28760
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

Unique1793 ?
Unique (%)67.7%

Sample

1st row257-8817
2nd row053-427-3102
3rd row053-423-5989
4th row053-422-4423
5th row053-422-4993
ValueCountFrequency (%)
425-5599 8
 
0.3%
326-0246 5
 
0.2%
053-651-6267 5
 
0.2%
053-568-2326 4
 
0.2%
053-625-4004 4
 
0.2%
053-651-9419 4
 
0.2%
053-746-1155 4
 
0.2%
053-636-2103 4
 
0.2%
053-744-1225 4
 
0.2%
053-627-4615 4
 
0.2%
Other values (2158) 2604
98.3%
2023-12-11T02:51:59.933227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 4643
16.1%
- 4324
15.0%
3 3943
13.7%
0 3413
11.9%
2 2320
8.1%
6 2066
7.2%
7 1893
6.6%
1 1676
 
5.8%
4 1598
 
5.6%
8 1431
 
5.0%
Other values (4) 1453
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24340
84.6%
Dash Punctuation 4324
 
15.0%
Close Punctuation 94
 
0.3%
Other Punctuation 1
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 4643
19.1%
3 3943
16.2%
0 3413
14.0%
2 2320
9.5%
6 2066
8.5%
7 1893
7.8%
1 1676
 
6.9%
4 1598
 
6.6%
8 1431
 
5.9%
9 1357
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 4324
100.0%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28760
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 4643
16.1%
- 4324
15.0%
3 3943
13.7%
0 3413
11.9%
2 2320
8.1%
6 2066
7.2%
7 1893
6.6%
1 1676
 
5.8%
4 1598
 
5.6%
8 1431
 
5.0%
Other values (4) 1453
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 4643
16.1%
- 4324
15.0%
3 3943
13.7%
0 3413
11.9%
2 2320
8.1%
6 2066
7.2%
7 1893
6.6%
1 1676
 
5.8%
4 1598
 
5.6%
8 1431
 
5.0%
Other values (4) 1453
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2808
Missing (%)100.0%
Memory size24.8 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct471
Distinct (%)25.8%
Missing982
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean655265.41
Minimum7020
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.8 KiB
2023-12-11T02:52:00.332789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7020
5-th percentile7028
Q1701847.25
median704802
Q3705800.75
95-th percentile711812
Maximum711891
Range704871
Interquartile range (IQR)3953.5

Descriptive statistics

Standard deviation178589.32
Coefficient of variation (CV)0.27254501
Kurtosis9.2594486
Mean655265.41
Median Absolute Deviation (MAD)1790
Skewness-3.3533782
Sum1.1965146 × 109
Variance3.1894144 × 1010
MonotonicityNot monotonic
2023-12-11T02:52:00.695673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7028 108
 
3.8%
706170 33
 
1.2%
704834 24
 
0.9%
704820 22
 
0.8%
704803 21
 
0.7%
711812 17
 
0.6%
704808 16
 
0.6%
706050 16
 
0.6%
704928 15
 
0.5%
703808 15
 
0.5%
Other values (461) 1539
54.8%
(Missing) 982
35.0%
ValueCountFrequency (%)
7020 11
 
0.4%
7021 1
 
< 0.1%
7022 5
 
0.2%
7028 108
3.8%
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 12
0.4%
711870 8
0.3%
711865 1
 
< 0.1%
711860 2
 
0.1%
711857 3
 
0.1%
711854 1
 
< 0.1%

소재지전체주소
Text

MISSING 

Distinct2366
Distinct (%)87.8%
Missing112
Missing (%)4.0%
Memory size22.1 KiB
2023-12-11T02:52:01.710659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length43
Mean length22.701409
Min length12

Characters and Unicode

Total characters61203
Distinct characters322
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

Unique2121 ?
Unique (%)78.7%

Sample

1st row대구광역시 중구 봉산동 195번지 12호
2nd row대구광역시 중구 봉산동52-16
3rd row대구광역시 중구 공평동82-2
4th row대구광역시 중구 삼덕2가105-1
5th row대구광역시 중구 동인동4가 315번지
ValueCountFrequency (%)
대구광역시 2692
 
20.6%
달서구 541
 
4.1%
북구 483
 
3.7%
수성구 389
 
3.0%
동구 330
 
2.5%
중구 307
 
2.3%
1호 253
 
1.9%
서구 245
 
1.9%
남구 236
 
1.8%
1층 222
 
1.7%
Other values (2444) 7381
56.4%
2023-12-11T02:52:03.058581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10412
17.0%
구 5277
 
8.6%
1 3352
 
5.5%
대 3030
 
5.0%
동 3001
 
4.9%
시 2742
 
4.5%
역 2717
 
4.4%
광 2701
 
4.4%
지 1875
 
3.1%
2 1855
 
3.0%
Other values (312) 24241
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36001
58.8%
Decimal Number 13598
 
22.2%
Space Separator 10412
 
17.0%
Dash Punctuation 877
 
1.4%
Other Punctuation 107
 
0.2%
Close Punctuation 63
 
0.1%
Open Punctuation 63
 
0.1%
Uppercase Letter 60
 
0.1%
Lowercase Letter 11
 
< 0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5277
14.7%
대 3030
 
8.4%
동 3001
 
8.3%
시 2742
 
7.6%
역 2717
 
7.5%
광 2701
 
7.5%
지 1875
 
5.2%
번 1691
 
4.7%
호 1608
 
4.5%
서 869
 
2.4%
Other values (266) 10490
29.1%
Uppercase Letter
ValueCountFrequency (%)
A 15
25.0%
B 14
23.3%
C 11
18.3%
L 3
 
5.0%
E 2
 
3.3%
N 2
 
3.3%
P 2
 
3.3%
H 2
 
3.3%
O 1
 
1.7%
T 1
 
1.7%
Other values (7) 7
11.7%
Decimal Number
ValueCountFrequency (%)
1 3352
24.7%
2 1855
13.6%
3 1494
11.0%
4 1185
 
8.7%
0 1178
 
8.7%
5 1105
 
8.1%
6 964
 
7.1%
7 902
 
6.6%
9 790
 
5.8%
8 773
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
36.4%
o 1
 
9.1%
m 1
 
9.1%
p 1
 
9.1%
l 1
 
9.1%
c 1
 
9.1%
u 1
 
9.1%
s 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 47
43.9%
, 44
41.1%
/ 16
 
15.0%
Math Symbol
ValueCountFrequency (%)
> 4
40.0%
< 4
40.0%
~ 2
20.0%
Space Separator
ValueCountFrequency (%)
10412
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 877
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36001
58.8%
Common 25131
41.1%
Latin 71
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5277
14.7%
대 3030
 
8.4%
동 3001
 
8.3%
시 2742
 
7.6%
역 2717
 
7.5%
광 2701
 
7.5%
지 1875
 
5.2%
번 1691
 
4.7%
호 1608
 
4.5%
서 869
 
2.4%
Other values (266) 10490
29.1%
Latin
ValueCountFrequency (%)
A 15
21.1%
B 14
19.7%
C 11
15.5%
e 4
 
5.6%
L 3
 
4.2%
E 2
 
2.8%
N 2
 
2.8%
P 2
 
2.8%
H 2
 
2.8%
O 1
 
1.4%
Other values (15) 15
21.1%
Common
ValueCountFrequency (%)
10412
41.4%
1 3352
 
13.3%
2 1855
 
7.4%
3 1494
 
5.9%
4 1185
 
4.7%
0 1178
 
4.7%
5 1105
 
4.4%
6 964
 
3.8%
7 902
 
3.6%
- 877
 
3.5%
Other values (11) 1807
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36001
58.8%
ASCII 25202
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10412
41.3%
1 3352
 
13.3%
2 1855
 
7.4%
3 1494
 
5.9%
4 1185
 
4.7%
0 1178
 
4.7%
5 1105
 
4.4%
6 964
 
3.8%
7 902
 
3.6%
- 877
 
3.5%
Other values (36) 1878
 
7.5%
Hangul
ValueCountFrequency (%)
구 5277
14.7%
대 3030
 
8.4%
동 3001
 
8.3%
시 2742
 
7.6%
역 2717
 
7.5%
광 2701
 
7.5%
지 1875
 
5.2%
번 1691
 
4.7%
호 1608
 
4.5%
서 869
 
2.4%
Other values (266) 10490
29.1%

도로명전체주소
Text

MISSING 

Distinct2063
Distinct (%)82.0%
Missing292
Missing (%)10.4%
Memory size22.1 KiB
2023-12-11T02:52:03.867118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length55
Mean length26.998013
Min length19

Characters and Unicode

Total characters67927
Distinct characters356
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

Unique1736 ?
Unique (%)69.0%

Sample

1st row대구광역시 중구 이천로 234-1 (봉산동)
2nd row대구광역시 중구 달구벌대로 2124 (봉산동)
3rd row대구광역시 중구 동성로4길 111 (공평동)
4th row대구광역시 중구 동덕로 127 (삼덕동2가)
5th row대구광역시 중구 국채보상로 716 (동인동4가)
ValueCountFrequency (%)
대구광역시 2516
 
17.8%
1층 574
 
4.1%
달서구 480
 
3.4%
북구 428
 
3.0%
수성구 369
 
2.6%
동구 349
 
2.5%
달구벌대로 272
 
1.9%
중구 268
 
1.9%
남구 237
 
1.7%
서구 217
 
1.5%
Other values (1844) 8457
59.7%
2023-12-11T02:52:05.039531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11686
17.2%
구 5317
 
7.8%
대 3437
 
5.1%
동 3236
 
4.8%
1 2735
 
4.0%
시 2609
 
3.8%
역 2552
 
3.8%
광 2522
 
3.7%
로 2507
 
3.7%
( 2375
 
3.5%
Other values (346) 28951
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39646
58.4%
Space Separator 11686
 
17.2%
Decimal Number 10230
 
15.1%
Open Punctuation 2375
 
3.5%
Close Punctuation 2375
 
3.5%
Other Punctuation 1262
 
1.9%
Dash Punctuation 235
 
0.3%
Uppercase Letter 88
 
0.1%
Lowercase Letter 22
 
< 0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5317
 
13.4%
대 3437
 
8.7%
동 3236
 
8.2%
시 2609
 
6.6%
역 2552
 
6.4%
광 2522
 
6.4%
로 2507
 
6.3%
달 1043
 
2.6%
성 950
 
2.4%
서 871
 
2.2%
Other values (298) 14602
36.8%
Uppercase Letter
ValueCountFrequency (%)
B 18
20.5%
A 17
19.3%
C 11
12.5%
W 9
10.2%
H 4
 
4.5%
M 4
 
4.5%
E 4
 
4.5%
S 3
 
3.4%
K 3
 
3.4%
N 3
 
3.4%
Other values (8) 12
13.6%
Decimal Number
ValueCountFrequency (%)
1 2735
26.7%
2 1538
15.0%
0 1039
 
10.2%
3 1038
 
10.1%
4 822
 
8.0%
5 720
 
7.0%
6 647
 
6.3%
8 577
 
5.6%
7 566
 
5.5%
9 548
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 5
22.7%
w 3
13.6%
m 3
13.6%
u 2
 
9.1%
s 2
 
9.1%
l 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 (%)
, 1253
99.3%
/ 8
 
0.6%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
11686
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2375
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2375
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 235
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39646
58.4%
Common 28171
41.5%
Latin 110
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5317
 
13.4%
대 3437
 
8.7%
동 3236
 
8.2%
시 2609
 
6.6%
역 2552
 
6.4%
광 2522
 
6.4%
로 2507
 
6.3%
달 1043
 
2.6%
성 950
 
2.4%
서 871
 
2.2%
Other values (298) 14602
36.8%
Latin
ValueCountFrequency (%)
B 18
16.4%
A 17
15.5%
C 11
 
10.0%
W 9
 
8.2%
e 5
 
4.5%
H 4
 
3.6%
M 4
 
3.6%
E 4
 
3.6%
w 3
 
2.7%
S 3
 
2.7%
Other values (17) 32
29.1%
Common
ValueCountFrequency (%)
11686
41.5%
1 2735
 
9.7%
( 2375
 
8.4%
) 2375
 
8.4%
2 1538
 
5.5%
, 1253
 
4.4%
0 1039
 
3.7%
3 1038
 
3.7%
4 822
 
2.9%
5 720
 
2.6%
Other values (11) 2590
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39646
58.4%
ASCII 28281
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11686
41.3%
1 2735
 
9.7%
( 2375
 
8.4%
) 2375
 
8.4%
2 1538
 
5.4%
, 1253
 
4.4%
0 1039
 
3.7%
3 1038
 
3.7%
4 822
 
2.9%
5 720
 
2.5%
Other values (38) 2700
 
9.5%
Hangul
ValueCountFrequency (%)
구 5317
 
13.4%
대 3437
 
8.7%
동 3236
 
8.2%
시 2609
 
6.6%
역 2552
 
6.4%
광 2522
 
6.4%
로 2507
 
6.3%
달 1043
 
2.6%
성 950
 
2.4%
서 871
 
2.2%
Other values (298) 14602
36.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct860
Distinct (%)38.2%
Missing557
Missing (%)19.8%
Infinite0
Infinite (%)0.0%
Mean169996.19
Minimum41002
Maximum711893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.8 KiB
2023-12-11T02:52:05.412530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41146
Q141654.5
median42242
Q342910
95-th percentile705813
Maximum711893
Range670891
Interquartile range (IQR)1255.5

Descriptive statistics

Standard deviation261493.86
Coefficient of variation (CV)1.5382337
Kurtosis0.4181594
Mean169996.19
Median Absolute Deviation (MAD)648
Skewness1.5548773
Sum3.8266142 × 108
Variance6.8379039 × 1010
MonotonicityNot monotonic
2023-12-11T02:52:05.816049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42417 22
 
0.8%
41957 19
 
0.7%
41557 16
 
0.6%
41423 16
 
0.6%
41438 15
 
0.5%
42471 14
 
0.5%
42602 14
 
0.5%
41940 13
 
0.5%
42914 13
 
0.5%
42620 13
 
0.5%
Other values (850) 2096
74.6%
(Missing) 557
 
19.8%
ValueCountFrequency (%)
41002 1
 
< 0.1%
41003 1
 
< 0.1%
41005 2
 
0.1%
41026 7
0.2%
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 5
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%

사업장명
Text

Distinct1411
Distinct (%)50.2%
Missing0
Missing (%)0.0%
Memory size22.1 KiB
2023-12-11T02:52:06.503196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length4
Mean length4.7592593
Min length2

Characters and Unicode

Total characters13364
Distinct characters387
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique887 ?
Unique (%)31.6%

Sample

1st row튼튼약국
2nd row한도약국
3rd row조은약국
4th row두산약국
5th row모정약국
ValueCountFrequency (%)
미소약국 17
 
0.6%
약국 17
 
0.6%
조은약국 15
 
0.5%
효성약국 14
 
0.5%
푸른약국 14
 
0.5%
수약국 14
 
0.5%
튼튼약국 13
 
0.5%
장수약국 13
 
0.5%
동산약국 13
 
0.5%
세명약국 12
 
0.4%
Other values (1396) 2721
95.0%
2023-12-11T02:52:07.374697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 2819
21.1%
약 2811
21.0%
성 215
 
1.6%
리 208
 
1.6%
한 202
 
1.5%
대 193
 
1.4%
동 168
 
1.3%
일 131
 
1.0%
은 129
 
1.0%
새 127
 
1.0%
Other values (377) 6361
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13258
99.2%
Space Separator 55
 
0.4%
Decimal Number 34
 
0.3%
Uppercase Letter 12
 
0.1%
Other Punctuation 3
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 2819
21.3%
약 2811
21.2%
성 215
 
1.6%
리 208
 
1.6%
한 202
 
1.5%
대 193
 
1.5%
동 168
 
1.3%
일 131
 
1.0%
은 129
 
1.0%
새 127
 
1.0%
Other values (360) 6255
47.2%
Decimal Number
ValueCountFrequency (%)
2 16
47.1%
1 12
35.3%
3 2
 
5.9%
8 1
 
2.9%
4 1
 
2.9%
5 1
 
2.9%
6 1
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
N 5
41.7%
O 4
33.3%
J 1
 
8.3%
W 1
 
8.3%
E 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13258
99.2%
Common 94
 
0.7%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 2819
21.3%
약 2811
21.2%
성 215
 
1.6%
리 208
 
1.6%
한 202
 
1.5%
대 193
 
1.5%
동 168
 
1.3%
일 131
 
1.0%
은 129
 
1.0%
새 127
 
1.0%
Other values (360) 6255
47.2%
Common
ValueCountFrequency (%)
55
58.5%
2 16
 
17.0%
1 12
 
12.8%
& 2
 
2.1%
3 2
 
2.1%
, 1
 
1.1%
) 1
 
1.1%
( 1
 
1.1%
8 1
 
1.1%
4 1
 
1.1%
Other values (2) 2
 
2.1%
Latin
ValueCountFrequency (%)
N 5
41.7%
O 4
33.3%
J 1
 
8.3%
W 1
 
8.3%
E 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13258
99.2%
ASCII 106
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 2819
21.3%
약 2811
21.2%
성 215
 
1.6%
리 208
 
1.6%
한 202
 
1.5%
대 193
 
1.5%
동 168
 
1.3%
일 131
 
1.0%
은 129
 
1.0%
새 127
 
1.0%
Other values (360) 6255
47.2%
ASCII
ValueCountFrequency (%)
55
51.9%
2 16
 
15.1%
1 12
 
11.3%
N 5
 
4.7%
O 4
 
3.8%
& 2
 
1.9%
3 2
 
1.9%
, 1
 
0.9%
J 1
 
0.9%
) 1
 
0.9%
Other values (7) 7
 
6.6%

최종수정시점
Real number (ℝ)

Distinct2807
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0157349 × 1013
Minimum2.0081113 × 1013
Maximum2.022123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.8 KiB
2023-12-11T02:52:07.629248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081113 × 1013
5-th percentile2.0100208 × 1013
Q12.0121226 × 1013
median2.0160707 × 1013
Q32.0190222 × 1013
95-th percentile2.0220223 × 1013
Maximum2.022123 × 1013
Range1.4011694 × 1011
Interquartile range (IQR)6.8996483 × 1010

Descriptive statistics

Standard deviation3.7425946 × 1010
Coefficient of variation (CV)0.0018566899
Kurtosis-1.0245046
Mean2.0157349 × 1013
Median Absolute Deviation (MAD)3.0014941 × 1010
Skewness-0.042352093
Sum5.6601835 × 1016
Variance1.4007015 × 1021
MonotonicityNot monotonic
2023-12-11T02:52:07.906139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180226103103 2
 
0.1%
20180130144836 1
 
< 0.1%
20140327155710 1
 
< 0.1%
20161116155638 1
 
< 0.1%
20170102180359 1
 
< 0.1%
20170102180904 1
 
< 0.1%
20210126111056 1
 
< 0.1%
20210412105124 1
 
< 0.1%
20170314135653 1
 
< 0.1%
20221221140734 1
 
< 0.1%
Other values (2797) 2797
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 (%)
20221230111650 1
< 0.1%
20221230104527 1
< 0.1%
20221227114050 1
< 0.1%
20221227105715 1
< 0.1%
20221223100233 1
< 0.1%
20221221140734 1
< 0.1%
20221219110923 1
< 0.1%
20221216151947 1
< 0.1%
20221213180132 1
< 0.1%
20221209151254 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size22.1 KiB
I
2181 
U
627 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2181
77.7%
U 627
 
22.3%

Length

2023-12-11T02:52:08.201039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:52:08.369299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2181
77.7%
u 627
 
22.3%

데이터갱신일자
Date

Distinct550
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Memory size22.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-01-01 02:40:00
2023-12-11T02:52:08.588692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:52:08.859658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2808
Missing (%)100.0%
Memory size24.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1645
Distinct (%)66.1%
Missing320
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean342906
Minimum327695.85
Maximum357934.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.8 KiB
2023-12-11T02:52:09.129166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327695.85
5-th percentile333466.22
Q1339763.84
median342843.98
Q3346031.33
95-th percentile353451.01
Maximum357934.28
Range30238.429
Interquartile range (IQR)6267.4863

Descriptive statistics

Standard deviation5166.7473
Coefficient of variation (CV)0.015067532
Kurtosis0.51234656
Mean342906
Median Absolute Deviation (MAD)3109.3831
Skewness0.060747147
Sum8.5315013 × 108
Variance26695278
MonotonicityNot monotonic
2023-12-11T02:52:09.435432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343820.407679695 11
 
0.4%
341158.083765973 10
 
0.4%
344894.551737589 9
 
0.3%
336129.059852975 8
 
0.3%
353999.548195885 8
 
0.3%
348550.425873257 8
 
0.3%
339763.840237323 7
 
0.2%
333519.827218791 6
 
0.2%
339483.511674007 6
 
0.2%
346912.903095039 6
 
0.2%
Other values (1635) 2409
85.8%
(Missing) 320
 
11.4%
ValueCountFrequency (%)
327695.847961614 1
< 0.1%
328014.986052613 1
< 0.1%
328063.27911272 1
< 0.1%
328117.182704824 1
< 0.1%
328158.321294062 1
< 0.1%
328183.920892314 2
0.1%
328234.938854143 1
< 0.1%
328385.759632515 1
< 0.1%
328835.354660258 1
< 0.1%
330172.529326032 2
0.1%
ValueCountFrequency (%)
357934.277019803 1
 
< 0.1%
357908.123249657 2
0.1%
356354.534914364 1
 
< 0.1%
356351.617490545 1
 
< 0.1%
356142.765211698 2
0.1%
356129.784534988 1
 
< 0.1%
356109.824212826 3
0.1%
356044.071074458 1
 
< 0.1%
355939.362329351 2
0.1%
355865.611497639 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1645
Distinct (%)66.1%
Missing320
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean263400.97
Minimum240481.5
Maximum274075.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.8 KiB
2023-12-11T02:52:09.775276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240481.5
5-th percentile257432.75
Q1261463.91
median263522.75
Q3265481.83
95-th percentile271781.59
Maximum274075.05
Range33593.552
Interquartile range (IQR)4017.9155

Descriptive statistics

Standard deviation4675.9111
Coefficient of variation (CV)0.017752065
Kurtosis4.9863459
Mean263400.97
Median Absolute Deviation (MAD)2010.4786
Skewness-1.1629211
Sum6.553416 × 108
Variance21864145
MonotonicityNot monotonic
2023-12-11T02:52:10.658107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264018.876070282 11
 
0.4%
273892.868509712 10
 
0.4%
265095.841355966 9
 
0.3%
262677.37122031 8
 
0.3%
261412.731434588 8
 
0.3%
263398.870922615 8
 
0.3%
271437.53969163 7
 
0.2%
262460.926734733 6
 
0.2%
261732.185760352 6
 
0.2%
263263.225944194 6
 
0.2%
Other values (1635) 2409
85.8%
(Missing) 320
 
11.4%
ValueCountFrequency (%)
240481.502376469 1
< 0.1%
240482.499847429 1
< 0.1%
240482.809934877 2
0.1%
240483.31453723 1
< 0.1%
240557.766685809 1
< 0.1%
240799.344614872 1
< 0.1%
242419.18875945 1
< 0.1%
244266.488938767 1
< 0.1%
244422.164072638 1
< 0.1%
244500.705818183 2
0.1%
ValueCountFrequency (%)
274075.054059128 1
 
< 0.1%
273994.885718704 1
 
< 0.1%
273892.868509712 10
0.4%
273817.094295142 2
 
0.1%
273814.355430835 2
 
0.1%
273800.471129113 2
 
0.1%
273799.60295834 1
 
< 0.1%
273587.706163655 2
 
0.1%
273515.053469739 3
 
0.1%
273499.423432627 1
 
< 0.1%

약국영업면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct1367
Distinct (%)48.7%
Missing2
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean55.76521
Minimum0
Maximum7037
Zeros99
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size24.8 KiB
2023-12-11T02:52:10.984599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q130.785
median43.48
Q363.9925
95-th percentile120.33
Maximum7037
Range7037
Interquartile range (IQR)33.2075

Descriptive statistics

Standard deviation139.31529
Coefficient of variation (CV)2.4982473
Kurtosis2251.6507
Mean55.76521
Median Absolute Deviation (MAD)15.4
Skewness45.168318
Sum156477.18
Variance19408.75
MonotonicityNot monotonic
2023-12-11T02:52:11.285145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 99
 
3.5%
33.0 37
 
1.3%
40.0 24
 
0.9%
36.0 17
 
0.6%
60.0 16
 
0.6%
39.6 16
 
0.6%
24.0 16
 
0.6%
66.0 15
 
0.5%
39.0 14
 
0.5%
46.2 14
 
0.5%
Other values (1357) 2538
90.4%
ValueCountFrequency (%)
0.0 99
3.5%
1.0 2
 
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%
448.8 1
< 0.1%
418.0 1
< 0.1%
348.25 1
< 0.1%
337.9 1
< 0.1%
297.9 1
< 0.1%
266.4 2
0.1%

지정일자
Real number (ℝ)

Distinct2128
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20080365
Minimum19590406
Maximum20221209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.8 KiB
2023-12-11T02:52:11.649708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19590406
5-th percentile19820955
Q120050130
median20100802
Q320151102
95-th percentile20200514
Maximum20221209
Range630803
Interquartile range (IQR)100972.5

Descriptive statistics

Standard deviation108650.09
Coefficient of variation (CV)0.0054107628
Kurtosis3.159138
Mean20080365
Median Absolute Deviation (MAD)50497
Skewness-1.6839965
Sum5.6385665 × 1010
Variance1.1804842 × 1010
MonotonicityNot monotonic
2023-12-11T02:52:12.020125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000801 7
 
0.2%
20140102 6
 
0.2%
20180702 6
 
0.2%
20190102 6
 
0.2%
20160901 5
 
0.2%
20150518 5
 
0.2%
20130603 5
 
0.2%
20150202 5
 
0.2%
20100302 5
 
0.2%
20140609 5
 
0.2%
Other values (2118) 2753
98.0%
ValueCountFrequency (%)
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%
19650903 1
< 0.1%
ValueCountFrequency (%)
20221209 1
< 0.1%
20221208 1
< 0.1%
20221202 1
< 0.1%
20221101 1
< 0.1%
20221026 1
< 0.1%
20221024 1
< 0.1%
20221020 2
0.1%
20221013 1
< 0.1%
20221011 2
0.1%
20221007 1
< 0.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)약국영업면적지정일자
01약국01_01_06_P3410000PHMD12018341002308400000220180129<NA>1영업/정상13영업중<NA><NA><NA><NA>257-8817<NA><NA>대구광역시 중구 봉산동 195번지 12호대구광역시 중구 이천로 234-1 (봉산동)41949튼튼약국20180130144836I2018-08-31 23:59:59.0<NA>344389.988387263607.81171751.2420180129
12약국01_01_06_P3410000PHMD11983341002308400000219830622<NA>1영업/정상13영업중<NA><NA><NA><NA>053-427-3102<NA><NA>대구광역시 중구 봉산동52-16대구광역시 중구 달구벌대로 2124 (봉산동)41958한도약국20190222100220U2019-02-24 02:40:00.0<NA>344064.489807263909.6392722.519830622
23약국01_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
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