Overview

Dataset statistics

Number of variables31
Number of observations4409
Missing cells29193
Missing cells (%)21.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory268.0 B

Variable types

Numeric11
Categorical9
Text5
Unsupported5
DateTime1

Dataset

Description2021-06-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123006

Alerts

개방서비스명 has constant value ""Constant
개방서비스id 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 (99.4%)Imbalance
인허가취소일자 has 4409 (100.0%) missing valuesMissing
폐업일자 has 1721 (39.0%) missing valuesMissing
재개업일자 has 4409 (100.0%) missing valuesMissing
소재지전화 has 554 (12.6%) missing valuesMissing
소재지면적 has 4409 (100.0%) missing valuesMissing
소재지우편번호 has 1507 (34.2%) missing valuesMissing
소재지전체주소 has 281 (6.4%) missing valuesMissing
도로명전체주소 has 583 (13.2%) missing valuesMissing
도로명우편번호 has 1380 (31.3%) missing valuesMissing
업태구분명 has 4409 (100.0%) missing valuesMissing
좌표정보(x) has 561 (12.7%) missing valuesMissing
좌표정보(y) has 561 (12.7%) missing valuesMissing
Unnamed: 30 has 4409 (100.0%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -28.07693938)Skewed
약국영업면적 is highly skewed (γ1 = 66.24262301)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
Unnamed: 30 is an unsupported type, check if it needs cleaning or further analysisUnsupported
약국영업면적 has 446 (10.1%) zerosZeros

Reproduction

Analysis started2024-04-17 05:50:44.540081
Analysis finished2024-04-17 05:50:45.576049
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4409
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2205
Minimum1
Maximum4409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-04-17T14:50:45.637345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile221.4
Q11103
median2205
Q33307
95-th percentile4188.6
Maximum4409
Range4408
Interquartile range (IQR)2204

Descriptive statistics

Standard deviation1272.913
Coefficient of variation (CV)0.57728481
Kurtosis-1.2
Mean2205
Median Absolute Deviation (MAD)1102
Skewness0
Sum9721845
Variance1620307.5
MonotonicityStrictly increasing
2024-04-17T14:50:45.756514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2938 1
 
< 0.1%
2944 1
 
< 0.1%
2943 1
 
< 0.1%
2942 1
 
< 0.1%
2941 1
 
< 0.1%
2940 1
 
< 0.1%
2939 1
 
< 0.1%
2937 1
 
< 0.1%
2963 1
 
< 0.1%
Other values (4399) 4399
99.8%
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 (%)
4409 1
< 0.1%
4408 1
< 0.1%
4407 1
< 0.1%
4406 1
< 0.1%
4405 1
< 0.1%
4404 1
< 0.1%
4403 1
< 0.1%
4402 1
< 0.1%
4401 1
< 0.1%
4400 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.6 KiB
약국
4409 

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 4409
100.0%

Length

2024-04-17T14:50:45.858715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:50:45.941359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
약국 4409
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.6 KiB
01_01_06_P
4409 

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 4409
100.0%

Length

2024-04-17T14:50:46.028030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:50:46.127538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_06_p 4409
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325509.2
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-04-17T14:50:46.209019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13290000
median3330000
Q33350000
95-th percentile3390000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation39677.357
Coefficient of variation (CV)0.011931212
Kurtosis-0.87024002
Mean3325509.2
Median Absolute Deviation (MAD)30000
Skewness-0.0016892698
Sum1.466217 × 1010
Variance1.5742926 × 109
MonotonicityNot monotonic
2024-04-17T14:50:46.319734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3350000 690
15.6%
3290000 523
11.9%
3330000 402
9.1%
3300000 343
 
7.8%
3310000 340
 
7.7%
3340000 307
 
7.0%
3370000 262
 
5.9%
3320000 235
 
5.3%
3380000 223
 
5.1%
3260000 219
 
5.0%
Other values (6) 865
19.6%
ValueCountFrequency (%)
3250000 134
 
3.0%
3260000 219
5.0%
3270000 179
 
4.1%
3280000 125
 
2.8%
3290000 523
11.9%
3300000 343
7.8%
3310000 340
7.7%
3320000 235
5.3%
3330000 402
9.1%
3340000 307
7.0%
ValueCountFrequency (%)
3400000 155
 
3.5%
3390000 203
 
4.6%
3380000 223
 
5.1%
3370000 262
 
5.9%
3360000 69
 
1.6%
3350000 690
15.6%
3340000 307
7.0%
3330000 402
9.1%
3320000 235
 
5.3%
3310000 340
7.7%

관리번호
Text

UNIQUE 

Distinct4409
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size34.6 KiB
2024-04-17T14:50:46.508253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters110225
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

Unique4409 ?
Unique (%)100.0%

Sample

1st rowPHMD120193250021084000001
2nd rowPHMD120193250021084000002
3rd rowPHMD119613250021084000001
4th rowPHMD119613250021084000002
5th rowPHMD119623250021084000001
ValueCountFrequency (%)
phmd120193250021084000001 1
 
< 0.1%
phmd120173350024084000001 1
 
< 0.1%
phmd120163350024084000009 1
 
< 0.1%
phmd120163350024084000011 1
 
< 0.1%
phmd120163350024084000012 1
 
< 0.1%
phmd120163350024084000006 1
 
< 0.1%
phmd119853350024084000002 1
 
< 0.1%
phmd120163350024084000007 1
 
< 0.1%
phmd120173350024084000003 1
 
< 0.1%
phmd119953350024084000001 1
 
< 0.1%
Other values (4399) 4399
99.8%
2024-04-17T14:50:46.816190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 40248
36.5%
2 11001
 
10.0%
1 10150
 
9.2%
3 9573
 
8.7%
4 8312
 
7.5%
8 5882
 
5.3%
P 4409
 
4.0%
H 4409
 
4.0%
M 4409
 
4.0%
D 4409
 
4.0%
Other values (4) 7423
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 92589
84.0%
Uppercase Letter 17636
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40248
43.5%
2 11001
 
11.9%
1 10150
 
11.0%
3 9573
 
10.3%
4 8312
 
9.0%
8 5882
 
6.4%
9 2738
 
3.0%
5 2152
 
2.3%
7 1399
 
1.5%
6 1134
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
P 4409
25.0%
H 4409
25.0%
M 4409
25.0%
D 4409
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 92589
84.0%
Latin 17636
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 40248
43.5%
2 11001
 
11.9%
1 10150
 
11.0%
3 9573
 
10.3%
4 8312
 
9.0%
8 5882
 
6.4%
9 2738
 
3.0%
5 2152
 
2.3%
7 1399
 
1.5%
6 1134
 
1.2%
Latin
ValueCountFrequency (%)
P 4409
25.0%
H 4409
25.0%
M 4409
25.0%
D 4409
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110225
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 40248
36.5%
2 11001
 
10.0%
1 10150
 
9.2%
3 9573
 
8.7%
4 8312
 
7.5%
8 5882
 
5.3%
P 4409
 
4.0%
H 4409
 
4.0%
M 4409
 
4.0%
D 4409
 
4.0%
Other values (4) 7423
 
6.7%

인허가일자
Real number (ℝ)

Distinct3063
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20056944
Minimum19610316
Maximum20210429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-04-17T14:50:46.955125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19610316
5-th percentile19790502
Q120010822
median20090330
Q320140507
95-th percentile20190509
Maximum20210429
Range600113
Interquartile range (IQR)129685

Descriptive statistics

Standard deviation118333.65
Coefficient of variation (CV)0.0058998843
Kurtosis1.3241477
Mean20056944
Median Absolute Deviation (MAD)59986
Skewness-1.3193358
Sum8.8431066 × 1010
Variance1.4002853 × 1010
MonotonicityNot monotonic
2024-04-17T14:50:47.082665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090302 11
 
0.2%
20130701 10
 
0.2%
20140901 9
 
0.2%
20110502 9
 
0.2%
19691231 8
 
0.2%
19660301 8
 
0.2%
20070702 8
 
0.2%
20080701 7
 
0.2%
20130902 7
 
0.2%
20150302 7
 
0.2%
Other values (3053) 4325
98.1%
ValueCountFrequency (%)
19610316 1
 
< 0.1%
19610418 1
 
< 0.1%
19620310 1
 
< 0.1%
19620924 1
 
< 0.1%
19620928 1
 
< 0.1%
19630207 1
 
< 0.1%
19630703 1
 
< 0.1%
19630822 1
 
< 0.1%
19660228 1
 
< 0.1%
19660301 8
0.2%
ValueCountFrequency (%)
20210429 1
< 0.1%
20210428 1
< 0.1%
20210412 1
< 0.1%
20210407 1
< 0.1%
20210401 1
< 0.1%
20210330 1
< 0.1%
20210329 1
< 0.1%
20210326 1
< 0.1%
20210324 1
< 0.1%
20210322 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4409
Missing (%)100.0%
Memory size38.9 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.6 KiB
3
2794 
1
1605 
4
 
6
2
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2794
63.4%
1 1605
36.4%
4 6
 
0.1%
2 4
 
0.1%

Length

2024-04-17T14:50:47.195079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:50:47.284200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2794
63.4%
1 1605
36.4%
4 6
 
0.1%
2 4
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.6 KiB
폐업
2794 
영업/정상
1605 
취소/말소/만료/정지/중지
 
6
휴업
 
4

Length

Max length14
Median length2
Mean length3.1084146
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2794
63.4%
영업/정상 1605
36.4%
취소/말소/만료/정지/중지 6
 
0.1%
휴업 4
 
0.1%

Length

2024-04-17T14:50:47.384452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:50:47.479020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2794
63.4%
영업/정상 1605
36.4%
취소/말소/만료/정지/중지 6
 
0.1%
휴업 4
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.6 KiB
3
2794 
13
1605 
24
 
6
2
 
4

Length

Max length2
Median length1
Mean length1.365389
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2794
63.4%
13 1605
36.4%
24 6
 
0.1%
2 4
 
0.1%

Length

2024-04-17T14:50:47.579963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:50:47.672801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2794
63.4%
13 1605
36.4%
24 6
 
0.1%
2 4
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.6 KiB
폐업
2794 
영업중
1605 
직권폐업
 
6
휴업
 
4

Length

Max length4
Median length2
Mean length2.3667498
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2794
63.4%
영업중 1605
36.4%
직권폐업 6
 
0.1%
휴업 4
 
0.1%

Length

2024-04-17T14:50:48.056987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:50:48.164812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2794
63.4%
영업중 1605
36.4%
직권폐업 6
 
0.1%
휴업 4
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1823
Distinct (%)67.8%
Missing1721
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean20109661
Minimum19760520
Maximum20210430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-04-17T14:50:48.299168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19760520
5-th percentile19930717
Q120090983
median20121016
Q320160314
95-th percentile20190726
Maximum20210430
Range449910
Interquartile range (IQR)69331

Descriptive statistics

Standard deviation73499.197
Coefficient of variation (CV)0.0036549198
Kurtosis2.8513903
Mean20109661
Median Absolute Deviation (MAD)30287.5
Skewness-1.643626
Sum5.4054768 × 1010
Variance5.402132 × 109
MonotonicityNot monotonic
2024-04-17T14:50:48.422560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090302 11
 
0.2%
20130701 11
 
0.2%
20110502 11
 
0.2%
20140901 9
 
0.2%
20130102 8
 
0.2%
20131202 7
 
0.2%
20090501 7
 
0.2%
20110704 7
 
0.2%
20130902 7
 
0.2%
20100701 6
 
0.1%
Other values (1813) 2604
59.1%
(Missing) 1721
39.0%
ValueCountFrequency (%)
19760520 1
< 0.1%
19781124 1
< 0.1%
19790402 1
< 0.1%
19800706 1
< 0.1%
19800826 1
< 0.1%
19801105 1
< 0.1%
19810210 1
< 0.1%
19810530 1
< 0.1%
19820403 1
< 0.1%
19820622 1
< 0.1%
ValueCountFrequency (%)
20210430 1
< 0.1%
20210429 1
< 0.1%
20210406 1
< 0.1%
20210401 1
< 0.1%
20210331 2
< 0.1%
20210303 1
< 0.1%
20210302 2
< 0.1%
20210301 1
< 0.1%
20210228 2
< 0.1%
20210224 1
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.6 KiB
<NA>
4405 
20200701
 
1
20210331
 
1
20200706
 
1
20210201
 
1

Length

Max length8
Median length4
Mean length4.0036289
Min length4

Unique

Unique4 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4405
99.9%
20200701 1
 
< 0.1%
20210331 1
 
< 0.1%
20200706 1
 
< 0.1%
20210201 1
 
< 0.1%

Length

2024-04-17T14:50:48.542781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:50:48.660189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4405
99.9%
20200701 1
 
< 0.1%
20210331 1
 
< 0.1%
20200706 1
 
< 0.1%
20210201 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.6 KiB
<NA>
4405 
20210630
 
2
20210502
 
1
20210731
 
1

Length

Max length8
Median length4
Mean length4.0036289
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4405
99.9%
20210630 2
 
< 0.1%
20210502 1
 
< 0.1%
20210731 1
 
< 0.1%

Length

2024-04-17T14:50:48.763366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:50:48.861753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4405
99.9%
20210630 2
 
< 0.1%
20210502 1
 
< 0.1%
20210731 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4409
Missing (%)100.0%
Memory size38.9 KiB

소재지전화
Text

MISSING 

Distinct2962
Distinct (%)76.8%
Missing554
Missing (%)12.6%
Memory size34.6 KiB
2024-04-17T14:50:49.087499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.895979
Min length3

Characters and Unicode

Total characters42004
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2343 ?
Unique (%)60.8%

Sample

1st row469-9693
2nd row051-442-0911
3rd row051-245-7656
4th row051-469-9693
5th row051-469-4647
ValueCountFrequency (%)
051-894-7770 6
 
0.2%
051-817-6949 6
 
0.2%
051-806-8074 6
 
0.2%
051-322-8210 6
 
0.2%
531-3424 5
 
0.1%
051-621-8383 5
 
0.1%
051-863-2524 5
 
0.1%
784-8999 5
 
0.1%
241-0718 5
 
0.1%
512-9461 5
 
0.1%
Other values (2952) 3801
98.6%
2024-04-17T14:50:49.444584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6522
15.5%
5 6164
14.7%
0 5511
13.1%
1 5368
12.8%
2 3426
8.2%
3 2832
6.7%
7 2798
6.7%
8 2709
6.4%
6 2642
6.3%
4 2348
 
5.6%
Other values (5) 1684
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35430
84.3%
Dash Punctuation 6522
 
15.5%
Close Punctuation 43
 
0.1%
Other Punctuation 7
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 6164
17.4%
0 5511
15.6%
1 5368
15.2%
2 3426
9.7%
3 2832
8.0%
7 2798
7.9%
8 2709
7.6%
6 2642
7.5%
4 2348
 
6.6%
9 1632
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 6522
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42004
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 6522
15.5%
5 6164
14.7%
0 5511
13.1%
1 5368
12.8%
2 3426
8.2%
3 2832
6.7%
7 2798
6.7%
8 2709
6.4%
6 2642
6.3%
4 2348
 
5.6%
Other values (5) 1684
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42004
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6522
15.5%
5 6164
14.7%
0 5511
13.1%
1 5368
12.8%
2 3426
8.2%
3 2832
6.7%
7 2798
6.7%
8 2709
6.4%
6 2642
6.3%
4 2348
 
5.6%
Other values (5) 1684
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4409
Missing (%)100.0%
Memory size38.9 KiB

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct667
Distinct (%)23.0%
Missing1507
Missing (%)34.2%
Infinite0
Infinite (%)0.0%
Mean610040.14
Minimum46988
Maximum626756
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-04-17T14:50:49.567728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46988
5-th percentile601823
Q1607841.25
median609832
Q3613832
95-th percentile617838
Maximum626756
Range579768
Interquartile range (IQR)5990.75

Descriptive statistics

Standard deviation18730.372
Coefficient of variation (CV)0.030703507
Kurtosis841.95332
Mean610040.14
Median Absolute Deviation (MAD)2994
Skewness-28.076939
Sum1.7703365 × 109
Variance3.5082684 × 108
MonotonicityNot monotonic
2024-04-17T14:50:49.685128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609400 94
 
2.1%
609310 87
 
2.0%
609320 74
 
1.7%
609390 61
 
1.4%
609813 27
 
0.6%
609811 26
 
0.6%
601812 23
 
0.5%
602011 21
 
0.5%
612021 20
 
0.5%
614812 19
 
0.4%
Other values (657) 2450
55.6%
(Missing) 1507
34.2%
ValueCountFrequency (%)
46988 1
 
< 0.1%
47256 1
 
< 0.1%
47354 1
 
< 0.1%
600011 1
 
< 0.1%
600014 1
 
< 0.1%
600017 2
 
< 0.1%
600022 1
 
< 0.1%
600023 1
 
< 0.1%
600025 9
0.2%
600031 1
 
< 0.1%
ValueCountFrequency (%)
626756 1
 
< 0.1%
621070 1
 
< 0.1%
621021 1
 
< 0.1%
619963 15
0.3%
619962 4
 
0.1%
619961 1
 
< 0.1%
619953 4
 
0.1%
619952 2
 
< 0.1%
619951 1
 
< 0.1%
619912 7
0.2%

소재지전체주소
Text

MISSING 

Distinct3370
Distinct (%)81.6%
Missing281
Missing (%)6.4%
Memory size34.6 KiB
2024-04-17T14:50:49.994573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length50
Mean length23.832849
Min length11

Characters and Unicode

Total characters98382
Distinct characters366
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

Unique2868 ?
Unique (%)69.5%

Sample

1st row부산광역시 중구 중앙동4가 47번지 1호
2nd row부산광역시 중구 동광동5가 16번지 37호
3rd row부산광역시 중구 부평동 2가 66-5
4th row부산광역시 중구 중앙동4가 47번지
5th row부산광역시 중구 영주동 1가 616-6
ValueCountFrequency (%)
부산광역시 4100
 
19.7%
금정구 686
 
3.3%
부산진구 477
 
2.3%
1호 448
 
2.2%
해운대구 383
 
1.8%
동래구 341
 
1.6%
남구 321
 
1.5%
사하구 272
 
1.3%
연제구 251
 
1.2%
수영구 221
 
1.1%
Other values (2991) 13334
64.0%
2024-04-17T14:50:50.437039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16751
17.0%
1 5240
 
5.3%
부 5022
 
5.1%
산 4936
 
5.0%
동 4714
 
4.8%
광 4250
 
4.3%
구 4181
 
4.2%
시 4149
 
4.2%
역 4108
 
4.2%
지 3321
 
3.4%
Other values (356) 41710
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59078
60.0%
Decimal Number 21305
 
21.7%
Space Separator 16751
 
17.0%
Dash Punctuation 873
 
0.9%
Other Punctuation 106
 
0.1%
Uppercase Letter 86
 
0.1%
Open Punctuation 79
 
0.1%
Close Punctuation 78
 
0.1%
Lowercase Letter 20
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 5022
 
8.5%
산 4936
 
8.4%
동 4714
 
8.0%
광 4250
 
7.2%
구 4181
 
7.1%
시 4149
 
7.0%
역 4108
 
7.0%
지 3321
 
5.6%
호 3310
 
5.6%
번 3181
 
5.4%
Other values (308) 17906
30.3%
Uppercase Letter
ValueCountFrequency (%)
B 14
16.3%
G 11
12.8%
S 10
11.6%
L 9
10.5%
K 9
10.5%
A 6
7.0%
F 4
 
4.7%
T 3
 
3.5%
P 3
 
3.5%
D 3
 
3.5%
Other values (10) 14
16.3%
Decimal Number
ValueCountFrequency (%)
1 5240
24.6%
2 3147
14.8%
3 2448
11.5%
4 2001
 
9.4%
5 1757
 
8.2%
0 1473
 
6.9%
6 1450
 
6.8%
7 1433
 
6.7%
8 1204
 
5.7%
9 1152
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
s 7
35.0%
i 5
25.0%
e 3
15.0%
j 1
 
5.0%
k 1
 
5.0%
p 1
 
5.0%
l 1
 
5.0%
u 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 80
75.5%
@ 19
 
17.9%
· 5
 
4.7%
/ 1
 
0.9%
. 1
 
0.9%
Space Separator
ValueCountFrequency (%)
16751
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 873
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59078
60.0%
Common 39198
39.8%
Latin 106
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 5022
 
8.5%
산 4936
 
8.4%
동 4714
 
8.0%
광 4250
 
7.2%
구 4181
 
7.1%
시 4149
 
7.0%
역 4108
 
7.0%
지 3321
 
5.6%
호 3310
 
5.6%
번 3181
 
5.4%
Other values (308) 17906
30.3%
Latin
ValueCountFrequency (%)
B 14
13.2%
G 11
 
10.4%
S 10
 
9.4%
L 9
 
8.5%
K 9
 
8.5%
s 7
 
6.6%
A 6
 
5.7%
i 5
 
4.7%
F 4
 
3.8%
T 3
 
2.8%
Other values (18) 28
26.4%
Common
ValueCountFrequency (%)
16751
42.7%
1 5240
 
13.4%
2 3147
 
8.0%
3 2448
 
6.2%
4 2001
 
5.1%
5 1757
 
4.5%
0 1473
 
3.8%
6 1450
 
3.7%
7 1433
 
3.7%
8 1204
 
3.1%
Other values (10) 2294
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59078
60.0%
ASCII 39299
39.9%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16751
42.6%
1 5240
 
13.3%
2 3147
 
8.0%
3 2448
 
6.2%
4 2001
 
5.1%
5 1757
 
4.5%
0 1473
 
3.7%
6 1450
 
3.7%
7 1433
 
3.6%
8 1204
 
3.1%
Other values (37) 2395
 
6.1%
Hangul
ValueCountFrequency (%)
부 5022
 
8.5%
산 4936
 
8.4%
동 4714
 
8.0%
광 4250
 
7.2%
구 4181
 
7.1%
시 4149
 
7.0%
역 4108
 
7.0%
지 3321
 
5.6%
호 3310
 
5.6%
번 3181
 
5.4%
Other values (308) 17906
30.3%
None
ValueCountFrequency (%)
· 5
100.0%

도로명전체주소
Text

MISSING 

Distinct2826
Distinct (%)73.9%
Missing583
Missing (%)13.2%
Memory size34.6 KiB
2024-04-17T14:50:50.745173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length53
Mean length27.366179
Min length20

Characters and Unicode

Total characters104703
Distinct characters429
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2213 ?
Unique (%)57.8%

Sample

1st row부산광역시 중구 해관로 69, 1층 (중앙동4가)
2nd row부산광역시 중구 동영로 4, 2층 (동광동5가)
3rd row부산광역시 중구 중앙대로81번길 8 (중앙동4가)
4th row부산광역시 중구 중앙대로147번길 3 (영주동)
5th row부산광역시 중구 초량중로 4 (영주동)
ValueCountFrequency (%)
부산광역시 3826
 
18.0%
1층 628
 
3.0%
금정구 606
 
2.9%
부산진구 449
 
2.1%
해운대구 344
 
1.6%
동래구 296
 
1.4%
사하구 256
 
1.2%
연제구 254
 
1.2%
중앙대로 222
 
1.0%
북구 222
 
1.0%
Other values (2522) 14136
66.6%
2024-04-17T14:50:51.179232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17433
 
16.6%
동 4872
 
4.7%
부 4766
 
4.6%
산 4677
 
4.5%
1 4065
 
3.9%
광 4025
 
3.8%
시 3993
 
3.8%
구 3968
 
3.8%
역 3833
 
3.7%
로 3790
 
3.6%
Other values (419) 49281
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62853
60.0%
Space Separator 17433
 
16.6%
Decimal Number 14703
 
14.0%
Close Punctuation 3711
 
3.5%
Open Punctuation 3711
 
3.5%
Other Punctuation 1653
 
1.6%
Dash Punctuation 515
 
0.5%
Uppercase Letter 88
 
0.1%
Lowercase Letter 28
 
< 0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4872
 
7.8%
부 4766
 
7.6%
산 4677
 
7.4%
광 4025
 
6.4%
시 3993
 
6.4%
구 3968
 
6.3%
역 3833
 
6.1%
로 3790
 
6.0%
대 1821
 
2.9%
정 1007
 
1.6%
Other values (371) 26101
41.5%
Uppercase Letter
ValueCountFrequency (%)
B 20
22.7%
S 12
13.6%
K 11
12.5%
G 6
 
6.8%
L 5
 
5.7%
D 4
 
4.5%
A 4
 
4.5%
F 4
 
4.5%
E 3
 
3.4%
H 3
 
3.4%
Other values (10) 16
18.2%
Decimal Number
ValueCountFrequency (%)
1 4065
27.6%
2 2049
13.9%
3 1426
 
9.7%
0 1258
 
8.6%
4 1134
 
7.7%
5 1132
 
7.7%
6 987
 
6.7%
7 965
 
6.6%
9 859
 
5.8%
8 828
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
s 8
28.6%
i 6
21.4%
e 5
17.9%
u 2
 
7.1%
a 2
 
7.1%
q 2
 
7.1%
r 2
 
7.1%
j 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 1640
99.2%
· 7
 
0.4%
@ 4
 
0.2%
. 2
 
0.1%
Space Separator
ValueCountFrequency (%)
17433
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3711
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3711
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 515
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62853
60.0%
Common 41733
39.9%
Latin 117
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4872
 
7.8%
부 4766
 
7.6%
산 4677
 
7.4%
광 4025
 
6.4%
시 3993
 
6.4%
구 3968
 
6.3%
역 3833
 
6.1%
로 3790
 
6.0%
대 1821
 
2.9%
정 1007
 
1.6%
Other values (371) 26101
41.5%
Latin
ValueCountFrequency (%)
B 20
17.1%
S 12
 
10.3%
K 11
 
9.4%
s 8
 
6.8%
G 6
 
5.1%
i 6
 
5.1%
L 5
 
4.3%
e 5
 
4.3%
D 4
 
3.4%
A 4
 
3.4%
Other values (19) 36
30.8%
Common
ValueCountFrequency (%)
17433
41.8%
1 4065
 
9.7%
) 3711
 
8.9%
( 3711
 
8.9%
2 2049
 
4.9%
, 1640
 
3.9%
3 1426
 
3.4%
0 1258
 
3.0%
4 1134
 
2.7%
5 1132
 
2.7%
Other values (9) 4174
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62853
60.0%
ASCII 41842
40.0%
None 7
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17433
41.7%
1 4065
 
9.7%
) 3711
 
8.9%
( 3711
 
8.9%
2 2049
 
4.9%
, 1640
 
3.9%
3 1426
 
3.4%
0 1258
 
3.0%
4 1134
 
2.7%
5 1132
 
2.7%
Other values (36) 4283
 
10.2%
Hangul
ValueCountFrequency (%)
동 4872
 
7.8%
부 4766
 
7.6%
산 4677
 
7.4%
광 4025
 
6.4%
시 3993
 
6.4%
구 3968
 
6.3%
역 3833
 
6.1%
로 3790
 
6.0%
대 1821
 
2.9%
정 1007
 
1.6%
Other values (371) 26101
41.5%
None
ValueCountFrequency (%)
· 7
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1212
Distinct (%)40.0%
Missing1380
Missing (%)31.3%
Infinite0
Infinite (%)0.0%
Mean184463.37
Minimum46002
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-04-17T14:50:51.304276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46254.4
Q147261
median48255
Q349516
95-th percentile616805
Maximum619963
Range573961
Interquartile range (IQR)2255

Descriptive statistics

Standard deviation241469.51
Coefficient of variation (CV)1.3090377
Kurtosis-0.55564691
Mean184463.37
Median Absolute Deviation (MAD)1077
Skewness1.2016351
Sum5.5873956 × 108
Variance5.8307524 × 1010
MonotonicityNot monotonic
2024-04-17T14:50:51.416340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47257 20
 
0.5%
48095 17
 
0.4%
47286 17
 
0.4%
46015 17
 
0.4%
46726 14
 
0.3%
47181 14
 
0.3%
48254 14
 
0.3%
601812 13
 
0.3%
46576 13
 
0.3%
49241 12
 
0.3%
Other values (1202) 2878
65.3%
(Missing) 1380
31.3%
ValueCountFrequency (%)
46002 4
 
0.1%
46007 2
 
< 0.1%
46008 6
 
0.1%
46012 1
 
< 0.1%
46014 1
 
< 0.1%
46015 17
0.4%
46017 7
0.2%
46019 1
 
< 0.1%
46021 2
 
< 0.1%
46022 1
 
< 0.1%
ValueCountFrequency (%)
619963 8
0.2%
619962 2
 
< 0.1%
619953 1
 
< 0.1%
619952 2
 
< 0.1%
619951 1
 
< 0.1%
619912 6
0.1%
619911 3
 
0.1%
619906 3
 
0.1%
619905 8
0.2%
619904 2
 
< 0.1%

사업장명
Text

Distinct1732
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Memory size34.6 KiB
2024-04-17T14:50:51.674225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length4
Mean length4.7146745
Min length3

Characters and Unicode

Total characters20787
Distinct characters410
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1011 ?
Unique (%)22.9%

Sample

1st row역전미도약국
2nd row새한솔약국
3rd row위생약국
4th row역전미도약국
5th row주성약국
ValueCountFrequency (%)
약국 100
 
2.2%
우리약국 53
 
1.2%
제일약국 51
 
1.1%
조은약국 45
 
1.0%
하나약국 41
 
0.9%
열린약국 37
 
0.8%
미소약국 36
 
0.8%
건강약국 30
 
0.7%
푸른약국 30
 
0.7%
우리들약국 29
 
0.6%
Other values (1719) 4128
90.1%
2024-04-17T14:50:52.035727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 4416
21.2%
약 4413
21.2%
리 364
 
1.8%
한 310
 
1.5%
대 296
 
1.4%
동 288
 
1.4%
우 220
 
1.1%
은 204
 
1.0%
신 200
 
1.0%
일 191
 
0.9%
Other values (400) 9885
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20500
98.6%
Space Separator 171
 
0.8%
Decimal Number 68
 
0.3%
Uppercase Letter 21
 
0.1%
Lowercase Letter 19
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 4416
21.5%
약 4413
21.5%
리 364
 
1.8%
한 310
 
1.5%
대 296
 
1.4%
동 288
 
1.4%
우 220
 
1.1%
은 204
 
1.0%
신 200
 
1.0%
일 191
 
0.9%
Other values (368) 9598
46.8%
Decimal Number
ValueCountFrequency (%)
1 23
33.8%
2 20
29.4%
3 6
 
8.8%
0 5
 
7.4%
5 4
 
5.9%
6 2
 
2.9%
7 2
 
2.9%
8 2
 
2.9%
9 2
 
2.9%
4 2
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
G 5
23.8%
L 5
23.8%
T 5
23.8%
K 1
 
4.8%
S 1
 
4.8%
O 1
 
4.8%
R 1
 
4.8%
E 1
 
4.8%
M 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
h 5
26.3%
e 5
26.3%
i 3
15.8%
p 1
 
5.3%
a 1
 
5.3%
r 1
 
5.3%
m 1
 
5.3%
y 1
 
5.3%
b 1
 
5.3%
Space Separator
ValueCountFrequency (%)
171
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20499
98.6%
Common 247
 
1.2%
Latin 40
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 4416
21.5%
약 4413
21.5%
리 364
 
1.8%
한 310
 
1.5%
대 296
 
1.4%
동 288
 
1.4%
우 220
 
1.1%
은 204
 
1.0%
신 200
 
1.0%
일 191
 
0.9%
Other values (367) 9597
46.8%
Latin
ValueCountFrequency (%)
G 5
12.5%
L 5
12.5%
T 5
12.5%
h 5
12.5%
e 5
12.5%
i 3
 
7.5%
K 1
 
2.5%
S 1
 
2.5%
p 1
 
2.5%
a 1
 
2.5%
Other values (8) 8
20.0%
Common
ValueCountFrequency (%)
171
69.2%
1 23
 
9.3%
2 20
 
8.1%
3 6
 
2.4%
0 5
 
2.0%
5 4
 
1.6%
( 3
 
1.2%
) 3
 
1.2%
6 2
 
0.8%
7 2
 
0.8%
Other values (4) 8
 
3.2%
Han
ValueCountFrequency (%)
東 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20499
98.6%
ASCII 287
 
1.4%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 4416
21.5%
약 4413
21.5%
리 364
 
1.8%
한 310
 
1.5%
대 296
 
1.4%
동 288
 
1.4%
우 220
 
1.1%
은 204
 
1.0%
신 200
 
1.0%
일 191
 
0.9%
Other values (367) 9597
46.8%
ASCII
ValueCountFrequency (%)
171
59.6%
1 23
 
8.0%
2 20
 
7.0%
3 6
 
2.1%
0 5
 
1.7%
G 5
 
1.7%
L 5
 
1.7%
T 5
 
1.7%
h 5
 
1.7%
e 5
 
1.7%
Other values (22) 37
 
12.9%
CJK
ValueCountFrequency (%)
東 1
100.0%

최종수정시점
Real number (ℝ)

Distinct4302
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0140936 × 1013
Minimum2.0081125 × 1013
Maximum2.021043 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-04-17T14:50:52.179281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081125 × 1013
5-th percentile2.009012 × 1013
Q12.0111031 × 1013
median2.0140516 × 1013
Q32.0170712 × 1013
95-th percentile2.0200702 × 1013
Maximum2.021043 × 1013
Range1.2930498 × 1011
Interquartile range (IQR)5.9680972 × 1010

Descriptive statistics

Standard deviation3.6581918 × 1010
Coefficient of variation (CV)0.0018162969
Kurtosis-1.0738073
Mean2.0140936 × 1013
Median Absolute Deviation (MAD)2.9887003 × 1010
Skewness0.10673014
Sum8.8801385 × 1016
Variance1.3382367 × 1021
MonotonicityNot monotonic
2024-04-17T14:50:52.311017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081201183323 36
 
0.8%
20081201183322 29
 
0.7%
20081201183324 25
 
0.6%
20081201183325 11
 
0.2%
20081201183321 11
 
0.2%
20200928145652 1
 
< 0.1%
20140728153044 1
 
< 0.1%
20160801171849 1
 
< 0.1%
20200213153004 1
 
< 0.1%
20120304131520 1
 
< 0.1%
Other values (4292) 4292
97.3%
ValueCountFrequency (%)
20081125181445 1
< 0.1%
20081126095545 1
< 0.1%
20081126101537 1
< 0.1%
20081126103530 1
< 0.1%
20081126154442 1
< 0.1%
20081126154559 1
< 0.1%
20081126154902 1
< 0.1%
20081126154951 1
< 0.1%
20081126155156 1
< 0.1%
20081126155236 1
< 0.1%
ValueCountFrequency (%)
20210430161016 1
< 0.1%
20210430140623 1
< 0.1%
20210429141856 1
< 0.1%
20210429112730 1
< 0.1%
20210429092843 1
< 0.1%
20210428152306 1
< 0.1%
20210428115227 1
< 0.1%
20210427180927 1
< 0.1%
20210423164955 1
< 0.1%
20210421131021 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.6 KiB
I
3857 
U
552 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3857
87.5%
U 552
 
12.5%

Length

2024-04-17T14:50:52.426317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:50:52.507935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3857
87.5%
u 552
 
12.5%

데이터갱신일자
Date

Distinct506
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size34.6 KiB
Minimum2018-08-31 23:59:59
Maximum2021-05-02 02:40:00
2024-04-17T14:50:52.603933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T14:50:52.722247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4409
Missing (%)100.0%
Memory size38.9 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct2316
Distinct (%)60.2%
Missing561
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean388326.96
Minimum366778.84
Maximum407507.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-04-17T14:50:52.835756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366778.84
5-th percentile379932.69
Q1384538.71
median388981.2
Q3391342.63
95-th percentile397899.76
Maximum407507.94
Range40729.102
Interquartile range (IQR)6803.9219

Descriptive statistics

Standard deviation5315.8228
Coefficient of variation (CV)0.013689039
Kurtosis0.73968237
Mean388326.96
Median Absolute Deviation (MAD)3116.1506
Skewness0.089558016
Sum1.4942821 × 109
Variance28257973
MonotonicityNot monotonic
2024-04-17T14:50:52.961545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
390334.468671295 12
 
0.3%
384017.538567667 12
 
0.3%
391781.118721177 11
 
0.2%
383836.715027165 11
 
0.2%
392474.578116018 9
 
0.2%
398155.660814985 9
 
0.2%
398694.155871524 8
 
0.2%
381041.901040161 8
 
0.2%
383838.213535785 8
 
0.2%
389933.629590491 8
 
0.2%
Other values (2306) 3752
85.1%
(Missing) 561
 
12.7%
ValueCountFrequency (%)
366778.837130241 1
 
< 0.1%
367451.087635496 3
0.1%
368909.552423688 2
< 0.1%
369169.330139889 1
 
< 0.1%
370115.612124915 1
 
< 0.1%
371163.0 1
 
< 0.1%
371173.90939644 1
 
< 0.1%
371178.823833358 1
 
< 0.1%
371181.352545926 1
 
< 0.1%
372874.021439 2
< 0.1%
ValueCountFrequency (%)
407507.938658253 1
 
< 0.1%
407504.0 1
 
< 0.1%
407448.0 1
 
< 0.1%
407446.416940698 1
 
< 0.1%
407133.798332267 1
 
< 0.1%
407003.941456545 1
 
< 0.1%
405385.675629727 3
0.1%
405339.550533951 2
< 0.1%
405339.365953558 1
 
< 0.1%
405254.345942127 1
 
< 0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct2318
Distinct (%)60.2%
Missing561
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean187886.19
Minimum174031.94
Maximum206378.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-04-17T14:50:53.083833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174031.94
5-th percentile178426.92
Q1183735.3
median187641.88
Q3192187.76
95-th percentile197979.5
Maximum206378.28
Range32346.346
Interquartile range (IQR)8452.4629

Descriptive statistics

Standard deviation6196.1845
Coefficient of variation (CV)0.032978392
Kurtosis-0.20855838
Mean187886.19
Median Absolute Deviation (MAD)4370.0622
Skewness0.23269307
Sum7.2298607 × 108
Variance38392702
MonotonicityNot monotonic
2024-04-17T14:50:53.201409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193823.110431075 12
 
0.3%
184850.850061492 12
 
0.3%
192580.29003502 11
 
0.2%
177679.311431902 11
 
0.2%
187681.573589165 9
 
0.2%
179455.22013973 8
 
0.2%
196180.465116547 8
 
0.2%
188302.926584749 8
 
0.2%
179724.598642884 8
 
0.2%
197138.718672751 7
 
0.2%
Other values (2308) 3754
85.1%
(Missing) 561
 
12.7%
ValueCountFrequency (%)
174031.935803657 1
< 0.1%
174035.700224564 2
< 0.1%
174087.295724335 1
< 0.1%
174092.497564851 1
< 0.1%
174106.09009853 1
< 0.1%
174294.918563971 1
< 0.1%
174683.062928525 1
< 0.1%
174742.952690375 1
< 0.1%
174793.111940975 2
< 0.1%
174823.87811521 1
< 0.1%
ValueCountFrequency (%)
206378.281379 1
< 0.1%
206377.970967 1
< 0.1%
206336.380838 1
< 0.1%
206335.181672 1
< 0.1%
206320.100629 1
< 0.1%
206319.0 1
< 0.1%
206070.223360046 1
< 0.1%
206047.415761754 2
< 0.1%
206041.0 1
< 0.1%
205750.820021879 1
< 0.1%

약국영업면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct1579
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.992822
Minimum0
Maximum74949
Zeros446
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-04-17T14:50:53.353173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123
median43.8
Q368
95-th percentile129.712
Maximum74949
Range74949
Interquartile range (IQR)45

Descriptive statistics

Standard deviation1128.8865
Coefficient of variation (CV)16.850858
Kurtosis4395.0291
Mean66.992822
Median Absolute Deviation (MAD)22.2
Skewness66.242623
Sum295371.35
Variance1274384.8
MonotonicityNot monotonic
2024-04-17T14:50:53.556252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 446
 
10.1%
1.0 422
 
9.6%
33.0 50
 
1.1%
66.0 50
 
1.1%
49.5 42
 
1.0%
99.0 32
 
0.7%
82.5 30
 
0.7%
46.2 23
 
0.5%
39.6 23
 
0.5%
52.8 22
 
0.5%
Other values (1569) 3269
74.1%
ValueCountFrequency (%)
0.0 446
10.1%
1.0 422
9.6%
8.86 2
 
< 0.1%
9.0 2
 
< 0.1%
9.12 1
 
< 0.1%
10.28 1
 
< 0.1%
11.11 2
 
< 0.1%
12.0 1
 
< 0.1%
12.5 2
 
< 0.1%
12.9 3
 
0.1%
ValueCountFrequency (%)
74949.0 1
 
< 0.1%
516.04 2
< 0.1%
454.92 1
 
< 0.1%
450.0 3
0.1%
400.0 1
 
< 0.1%
364.85 2
< 0.1%
294.0 1
 
< 0.1%
282.0 1
 
< 0.1%
280.9 1
 
< 0.1%
251.0 3
0.1%

지정일자
Real number (ℝ)

Distinct3063
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20056944
Minimum19610316
Maximum20210429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2024-04-17T14:50:53.749883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19610316
5-th percentile19790502
Q120010822
median20090330
Q320140507
95-th percentile20190509
Maximum20210429
Range600113
Interquartile range (IQR)129685

Descriptive statistics

Standard deviation118333.65
Coefficient of variation (CV)0.0058998843
Kurtosis1.3241477
Mean20056944
Median Absolute Deviation (MAD)59986
Skewness-1.3193358
Sum8.8431066 × 1010
Variance1.4002853 × 1010
MonotonicityNot monotonic
2024-04-17T14:50:53.951495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090302 11
 
0.2%
20130701 10
 
0.2%
20140901 9
 
0.2%
20110502 9
 
0.2%
19691231 8
 
0.2%
19660301 8
 
0.2%
20070702 8
 
0.2%
20080701 7
 
0.2%
20130902 7
 
0.2%
20150302 7
 
0.2%
Other values (3053) 4325
98.1%
ValueCountFrequency (%)
19610316 1
 
< 0.1%
19610418 1
 
< 0.1%
19620310 1
 
< 0.1%
19620924 1
 
< 0.1%
19620928 1
 
< 0.1%
19630207 1
 
< 0.1%
19630703 1
 
< 0.1%
19630822 1
 
< 0.1%
19660228 1
 
< 0.1%
19660301 8
0.2%
ValueCountFrequency (%)
20210429 1
< 0.1%
20210428 1
< 0.1%
20210412 1
< 0.1%
20210407 1
< 0.1%
20210401 1
< 0.1%
20210330 1
< 0.1%
20210329 1
< 0.1%
20210326 1
< 0.1%
20210324 1
< 0.1%
20210322 1
< 0.1%

Unnamed: 30
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4409
Missing (%)100.0%
Memory size38.9 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)약국영업면적지정일자Unnamed: 30
01약국01_01_06_P3250000PHMD12019325002108400000120190726<NA>3폐업3폐업20200928<NA><NA><NA>469-9693<NA><NA>부산광역시 중구 중앙동4가 47번지 1호부산광역시 중구 해관로 69, 1층 (중앙동4가)48930역전미도약국20200928145652U2020-09-30 02:40:00.0<NA>385506.80671180339.25954339.620190726<NA>
12약국01_01_06_P3250000PHMD12019325002108400000220190819<NA>3폐업3폐업20210222<NA><NA><NA>051-442-0911<NA><NA>부산광역시 중구 동광동5가 16번지 37호부산광역시 중구 동영로 4, 2층 (동광동5가)48921새한솔약국20210222104250U2021-02-24 02:40:00.0<NA>385305.463246180614.22050262.1820190819<NA>
23약국01_01_06_P3250000PHMD11961325002108400000119610316<NA>3폐업3폐업20110218<NA><NA><NA>051-245-7656<NA><NA>부산광역시 중구 부평동 2가 66-5<NA><NA>위생약국20110311112827I2018-08-31 23:59:59.0<NA><NA><NA>0.019610316<NA>
34약국01_01_06_P3250000PHMD11961325002108400000219610418<NA>3폐업3폐업20190726<NA><NA><NA>051-469-9693<NA>600815부산광역시 중구 중앙동4가 47번지부산광역시 중구 중앙대로81번길 8 (중앙동4가)48930역전미도약국20190726133003U2019-07-28 02:40:00.0<NA>385500.736292180338.0205880.019610418<NA>
45약국01_01_06_P3250000PHMD11962325002108400000119620310<NA>3폐업3폐업20120930<NA><NA><NA>051-469-4647<NA><NA>부산광역시 중구 영주동 1가 616-6부산광역시 중구 중앙대로147번길 3 (영주동)600811주성약국20121002161054I2018-08-31 23:59:59.0<NA><NA><NA>0.019620310<NA>
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67약국01_01_06_P3250000PHMD11962325002108400000319620928<NA>3폐업3폐업20091119<NA><NA><NA>051-245-6585<NA><NA>부산광역시 중구 부평동 2가 40<NA><NA>왕자약국20091119173020I2018-08-31 23:59:59.0<NA><NA><NA>0.019620928<NA>
78약국01_01_06_P3250000PHMD11963325002108400000219630822<NA>3폐업3폐업20130326<NA><NA><NA>051-245-4246<NA>600046부산광역시 중구 남포동6가 7번지 1호 ,4부산광역시 중구 자갈치로 38 (남포동6가)600046동명약국20130329092944I2018-08-31 23:59:59.0<NA>384888.83865179411.1653890.019630822<NA>
89약국01_01_06_P3250000PHMD11968325002108400000119680314<NA>3폐업3폐업20100630<NA><NA><NA>051-245-9635<NA><NA>부산광역시 중구 동광동 3가 2-1<NA><NA>금생약국20100630102237I2018-08-31 23:59:59.0<NA><NA><NA>0.019680314<NA>
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번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)약국영업면적지정일자Unnamed: 30
43994400약국01_01_06_P3330000PHMD12020333002408400000520200626<NA>1영업/정상13영업중<NA><NA><NA><NA>051-744-5999<NA><NA>부산광역시 해운대구 중동 1382-12부산광역시 해운대구 구남로29번길 9 (중동)48095더좋은약사와약국20200626132551I2020-06-28 00:23:16.0<NA>396844.190625186885.10629559.520200626<NA>
44004401약국01_01_06_P3330000PHMD12020333002408400000620200629<NA>1영업/정상13영업중<NA><NA><NA><NA>051-784-7552<NA><NA>부산광역시 해운대구 재송동 1033-8부산광역시 해운대구 재반로 169, 1층 (재송동)48051동산약국20200629101035I2020-07-01 00:23:16.0<NA>393828.10741190277.94098830.020200629<NA>
44014402약국01_01_06_P3330000PHMD12021333002408400000320210407<NA>1영업/정상13영업중<NA><NA><NA><NA>0517478276<NA><NA>부산광역시 해운대구 좌동 1473-2 엘리움 209호부산광역시 해운대구 해운대로 794, 엘리움 209호 (좌동)48104바다약국20210408114149I2021-04-10 00:23:08.0<NA>398155.660815187681.57358963.4220210407<NA>
44024403약국01_01_06_P3330000PHMD12019333002408400000120190102<NA>1영업/정상13영업중<NA><NA><NA><NA>051-544-0090<NA><NA>부산광역시 해운대구 반송동 257번지 151호부산광역시 해운대구 아랫반송로21번길 22, 1층 (반송동)48017반송열린약국20190102151233I2019-01-04 02:20:38.0<NA>395541.808328193962.28367539.020190102<NA>
44034404약국01_01_06_P3330000PHMD12018333002408400002220181126<NA>1영업/정상13영업중<NA><NA><NA><NA>051-711-9070<NA><NA>부산광역시 해운대구 우동 610번지 8호부산광역시 해운대구 중동1로 15-3, 1층 (우동)48095바른약국20181126143626I2018-11-28 02:20:01.0<NA>396865.895742187078.37756837.9720181126<NA>
44044405약국01_01_06_P3330000PHMD12020333002408400000920201210<NA>1영업/정상13영업중<NA><NA><NA><NA>051-526-8900<NA><NA>부산광역시 해운대구 반여동 1639-3 대룡빌딩 102호부산광역시 해운대구 선수촌로 94, 대룡빌딩 102호 (반여동)48037파랑약국20201210101229I2020-12-12 00:23:07.0<NA>392954.654366191266.55781469.320201210<NA>
44054406약국01_01_06_P3330000PHMD12021333002408400000120210104<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반송동 250-2425부산광역시 해운대구 아랫반송로 33 (반송동)48019류약국20210104111337I2021-01-06 00:23:05.0<NA>395611.775791193815.46749683.320210104<NA>
44064407약국01_01_06_P3330000PHMD12021333002408400000220210122<NA>1영업/정상13영업중<NA><NA><NA><NA>051-523-5551<NA><NA>부산광역시 해운대구 반여동 1465-51 우진빌딩부산광역시 해운대구 선수촌로 65-25, 우진빌딩 (반여동)48038반여약국20210122101111I2021-01-24 00:23:04.0<NA>392777.247484190995.03513294.020210122<NA>
44074408약국01_01_06_P3330000PHMD12010333002408400001520100319<NA>4취소/말소/만료/정지/중지24직권폐업20160922<NA><NA><NA>051-545-2211<NA>612082부산광역시 해운대구 반송2동 899번지부산광역시 해운대구 신반송로 203-5 (반송동)48009김태윤약국20160922091657I2018-08-31 23:59:59.0<NA>396389.662272194440.43099126.420100319<NA>
44084409약국01_01_06_P3330000PHMD11976333002408400000319760511<NA>4취소/말소/만료/정지/중지24직권폐업20170223<NA><NA><NA>051-783-0372<NA>612812부산광역시 해운대구 반여동 1291번지 176호부산광역시 해운대구 재반로242번길 12 (반여동)48027모범약국20170224083650I2018-08-31 23:59:59.0<NA>394096.342139190896.8259950.019760511<NA>