Overview

Dataset statistics

Number of variables31
Number of observations4372
Missing cells28944
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

Description2021-01-04
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 (51.7%)Imbalance
영업상태명 is highly imbalanced (51.7%)Imbalance
상세영업상태코드 is highly imbalanced (51.7%)Imbalance
상세영업상태명 is highly imbalanced (51.7%)Imbalance
휴업시작일자 is highly imbalanced (99.6%)Imbalance
휴업종료일자 is highly imbalanced (99.6%)Imbalance
인허가취소일자 has 4372 (100.0%) missing valuesMissing
폐업일자 has 1709 (39.1%) missing valuesMissing
재개업일자 has 4372 (100.0%) missing valuesMissing
소재지전화 has 553 (12.6%) missing valuesMissing
소재지면적 has 4372 (100.0%) missing valuesMissing
소재지우편번호 has 1465 (33.5%) missing valuesMissing
소재지전체주소 has 271 (6.2%) missing valuesMissing
도로명전체주소 has 583 (13.3%) missing valuesMissing
도로명우편번호 has 1380 (31.6%) missing valuesMissing
업태구분명 has 4372 (100.0%) missing valuesMissing
좌표정보(x) has 561 (12.8%) missing valuesMissing
좌표정보(y) has 561 (12.8%) missing valuesMissing
Unnamed: 30 has 4372 (100.0%) missing valuesMissing
소재지우편번호 is highly skewed (γ1 = -28.09879517)Skewed
약국영업면적 is highly skewed (γ1 = 65.95731396)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 (10.2%) zerosZeros

Reproduction

Analysis started2024-04-17 05:51:42.981868
Analysis finished2024-04-17 05:51:44.061726
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct4372
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2186.5
Minimum1
Maximum4372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2024-04-17T14:51:44.121402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile219.55
Q11093.75
median2186.5
Q33279.25
95-th percentile4153.45
Maximum4372
Range4371
Interquartile range (IQR)2185.5

Descriptive statistics

Standard deviation1262.232
Coefficient of variation (CV)0.57728425
Kurtosis-1.2
Mean2186.5
Median Absolute Deviation (MAD)1093
Skewness0
Sum9559378
Variance1593229.7
MonotonicityStrictly increasing
2024-04-17T14:51:44.251301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2915 1
 
< 0.1%
2921 1
 
< 0.1%
2920 1
 
< 0.1%
2919 1
 
< 0.1%
2918 1
 
< 0.1%
2917 1
 
< 0.1%
2916 1
 
< 0.1%
2914 1
 
< 0.1%
2872 1
 
< 0.1%
Other values (4362) 4362
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 (%)
4372 1
< 0.1%
4371 1
< 0.1%
4370 1
< 0.1%
4369 1
< 0.1%
4368 1
< 0.1%
4367 1
< 0.1%
4366 1
< 0.1%
4365 1
< 0.1%
4364 1
< 0.1%
4363 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
약국
4372 

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 4372
100.0%

Length

2024-04-17T14:51:44.376736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:51:44.475677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
약국 4372
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
01_01_06_P
4372 

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 4372
100.0%

Length

2024-04-17T14:51:44.563463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:51:44.659158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_06_p 4372
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325567.2
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2024-04-17T14:51:44.746827image/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 deviation39667.15
Coefficient of variation (CV)0.011927935
Kurtosis-0.8687582
Mean3325567.2
Median Absolute Deviation (MAD)30000
Skewness-0.004905989
Sum1.453938 × 1010
Variance1.5734828 × 109
MonotonicityNot monotonic
2024-04-17T14:51:44.858254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3350000 688
15.7%
3290000 512
11.7%
3330000 399
9.1%
3300000 342
 
7.8%
3310000 337
 
7.7%
3340000 305
 
7.0%
3370000 260
 
5.9%
3320000 233
 
5.3%
3380000 221
 
5.1%
3260000 218
 
5.0%
Other values (6) 857
19.6%
ValueCountFrequency (%)
3250000 132
 
3.0%
3260000 218
5.0%
3270000 179
 
4.1%
3280000 123
 
2.8%
3290000 512
11.7%
3300000 342
7.8%
3310000 337
7.7%
3320000 233
5.3%
3330000 399
9.1%
3340000 305
7.0%
ValueCountFrequency (%)
3400000 154
 
3.5%
3390000 201
 
4.6%
3380000 221
 
5.1%
3370000 260
 
5.9%
3360000 68
 
1.6%
3350000 688
15.7%
3340000 305
7.0%
3330000 399
9.1%
3320000 233
 
5.3%
3310000 337
7.7%

관리번호
Text

UNIQUE 

Distinct4372
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
2024-04-17T14:51:45.047952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters109300
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

Unique4372 ?
Unique (%)100.0%

Sample

1st rowPHMD120193250021084000001
2nd rowPHMD119613250021084000001
3rd rowPHMD119613250021084000002
4th rowPHMD119623250021084000001
5th rowPHMD119623250021084000002
ValueCountFrequency (%)
phmd120193250021084000001 1
 
< 0.1%
phmd120163350024084000014 1
 
< 0.1%
phmd120163350024084000009 1
 
< 0.1%
phmd120163350024084000011 1
 
< 0.1%
phmd120163350024084000012 1
 
< 0.1%
phmd120163350024084000006 1
 
< 0.1%
phmd120163350024084000007 1
 
< 0.1%
phmd120013350024084000024 1
 
< 0.1%
phmd120173350024084000003 1
 
< 0.1%
phmd120013350024084000023 1
 
< 0.1%
Other values (4362) 4362
99.8%
2024-04-17T14:51:45.339564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 39915
36.5%
2 10861
 
9.9%
1 10052
 
9.2%
3 9502
 
8.7%
4 8248
 
7.5%
8 5840
 
5.3%
P 4372
 
4.0%
H 4372
 
4.0%
M 4372
 
4.0%
D 4372
 
4.0%
Other values (4) 7394
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 91812
84.0%
Uppercase Letter 17488
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 39915
43.5%
2 10861
 
11.8%
1 10052
 
10.9%
3 9502
 
10.3%
4 8248
 
9.0%
8 5840
 
6.4%
9 2724
 
3.0%
5 2143
 
2.3%
7 1396
 
1.5%
6 1131
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
P 4372
25.0%
H 4372
25.0%
M 4372
25.0%
D 4372
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 91812
84.0%
Latin 17488
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 39915
43.5%
2 10861
 
11.8%
1 10052
 
10.9%
3 9502
 
10.3%
4 8248
 
9.0%
8 5840
 
6.4%
9 2724
 
3.0%
5 2143
 
2.3%
7 1396
 
1.5%
6 1131
 
1.2%
Latin
ValueCountFrequency (%)
P 4372
25.0%
H 4372
25.0%
M 4372
25.0%
D 4372
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 109300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 39915
36.5%
2 10861
 
9.9%
1 10052
 
9.2%
3 9502
 
8.7%
4 8248
 
7.5%
8 5840
 
5.3%
P 4372
 
4.0%
H 4372
 
4.0%
M 4372
 
4.0%
D 4372
 
4.0%
Other values (4) 7394
 
6.8%

인허가일자
Real number (ℝ)

Distinct3037
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20055647
Minimum19610316
Maximum20210101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2024-04-17T14:51:45.470768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19610316
5-th percentile19790502
Q120010716
median20090302
Q320140331
95-th percentile20190213
Maximum20210101
Range599785
Interquartile range (IQR)129615.5

Descriptive statistics

Standard deviation117986.19
Coefficient of variation (CV)0.0058829411
Kurtosis1.3290682
Mean20055647
Median Absolute Deviation (MAD)59900
Skewness-1.3278718
Sum8.7683287 × 1010
Variance1.392074 × 1010
MonotonicityNot monotonic
2024-04-17T14:51:45.627495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090302 11
 
0.3%
20130701 10
 
0.2%
20140901 9
 
0.2%
20110502 9
 
0.2%
20070702 8
 
0.2%
19660301 8
 
0.2%
19691231 8
 
0.2%
20070402 7
 
0.2%
20180102 7
 
0.2%
20180702 7
 
0.2%
Other values (3027) 4288
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 (%)
20210101 1
< 0.1%
20201229 1
< 0.1%
20201228 1
< 0.1%
20201214 1
< 0.1%
20201210 1
< 0.1%
20201209 1
< 0.1%
20201208 1
< 0.1%
20201202 1
< 0.1%
20201120 1
< 0.1%
20201111 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4372
Missing (%)100.0%
Memory size38.6 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
3
2769 
1
1595 
4
 
6
2
 
2

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 2769
63.3%
1 1595
36.5%
4 6
 
0.1%
2 2
 
< 0.1%

Length

2024-04-17T14:51:46.077008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:51:46.169915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2769
63.3%
1 1595
36.5%
4 6
 
0.1%
2 2
 
< 0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
폐업
2769 
영업/정상
1595 
취소/말소/만료/정지/중지
 
6
휴업
 
2

Length

Max length14
Median length2
Mean length3.1109332
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2769
63.3%
영업/정상 1595
36.5%
취소/말소/만료/정지/중지 6
 
0.1%
휴업 2
 
< 0.1%

Length

2024-04-17T14:51:46.282978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:51:46.386988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2769
63.3%
영업/정상 1595
36.5%
취소/말소/만료/정지/중지 6
 
0.1%
휴업 2
 
< 0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
3
2769 
13
1595 
24
 
6
2
 
2

Length

Max length2
Median length1
Mean length1.366194
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2769
63.3%
13 1595
36.5%
24 6
 
0.1%
2 2
 
< 0.1%

Length

2024-04-17T14:51:46.495690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:51:46.599595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2769
63.3%
13 1595
36.5%
24 6
 
0.1%
2 2
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
폐업
2769 
영업중
1595 
직권폐업
 
6
휴업
 
2

Length

Max length4
Median length2
Mean length2.3675663
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2769
63.3%
영업중 1595
36.5%
직권폐업 6
 
0.1%
휴업 2
 
< 0.1%

Length

2024-04-17T14:51:46.713627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:51:46.819117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2769
63.3%
영업중 1595
36.5%
직권폐업 6
 
0.1%
휴업 2
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1802
Distinct (%)67.7%
Missing1709
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean20108716
Minimum19760520
Maximum20210101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2024-04-17T14:51:46.933951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19760520
5-th percentile19930710
Q120090917
median20121002
Q320160219
95-th percentile20190519
Maximum20210101
Range449581
Interquartile range (IQR)69302

Descriptive statistics

Standard deviation73191.3
Coefficient of variation (CV)0.0036397798
Kurtosis2.8858838
Mean20108716
Median Absolute Deviation (MAD)30208
Skewness-1.665756
Sum5.3549512 × 1010
Variance5.3569664 × 109
MonotonicityNot monotonic
2024-04-17T14:51:47.055099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110502 11
 
0.3%
20130701 11
 
0.3%
20090302 11
 
0.3%
20140901 9
 
0.2%
20130102 8
 
0.2%
20110704 7
 
0.2%
20131202 7
 
0.2%
20130902 7
 
0.2%
20090501 7
 
0.2%
20160601 6
 
0.1%
Other values (1792) 2579
59.0%
(Missing) 1709
39.1%
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 (%)
20210101 3
0.1%
20201231 1
 
< 0.1%
20201228 1
 
< 0.1%
20201223 1
 
< 0.1%
20201215 1
 
< 0.1%
20201213 1
 
< 0.1%
20201207 1
 
< 0.1%
20201201 1
 
< 0.1%
20201127 1
 
< 0.1%
20201125 1
 
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
<NA>
4370 
20200701
 
1
20200706
 
1

Length

Max length8
Median length4
Mean length4.0018298
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> 4370
> 99.9%
20200701 1
 
< 0.1%
20200706 1
 
< 0.1%

Length

2024-04-17T14:51:47.171141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:51:47.263933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4370
> 99.9%
20200701 1
 
< 0.1%
20200706 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
<NA>
4370 
20210630
 
1
20210131
 
1

Length

Max length8
Median length4
Mean length4.0018298
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> 4370
> 99.9%
20210630 1
 
< 0.1%
20210131 1
 
< 0.1%

Length

2024-04-17T14:51:47.363262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:51:47.457410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4370
> 99.9%
20210630 1
 
< 0.1%
20210131 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4372
Missing (%)100.0%
Memory size38.6 KiB

소재지전화
Text

MISSING 

Distinct2940
Distinct (%)77.0%
Missing553
Missing (%)12.6%
Memory size34.3 KiB
2024-04-17T14:51:47.661757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.886358
Min length3

Characters and Unicode

Total characters41575
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

Unique2329 ?
Unique (%)61.0%

Sample

1st row469-9693
2nd row051-245-7656
3rd row051-469-9693
4th row051-469-4647
5th row051-469-7037
ValueCountFrequency (%)
051-894-7770 6
 
0.2%
051-806-8074 6
 
0.2%
051-817-6949 6
 
0.2%
051-322-8210 6
 
0.2%
507-0106 5
 
0.1%
512-9461 5
 
0.1%
784-8999 5
 
0.1%
241-0718 5
 
0.1%
051-621-8383 5
 
0.1%
583-7588 5
 
0.1%
Other values (2930) 3765
98.6%
2024-04-17T14:51:48.002073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6451
15.5%
5 6099
14.7%
0 5440
13.1%
1 5318
12.8%
2 3385
8.1%
3 2808
6.8%
7 2767
6.7%
8 2687
6.5%
6 2618
6.3%
4 2335
 
5.6%
Other values (5) 1667
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35072
84.4%
Dash Punctuation 6451
 
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 6099
17.4%
0 5440
15.5%
1 5318
15.2%
2 3385
9.7%
3 2808
8.0%
7 2767
7.9%
8 2687
7.7%
6 2618
7.5%
4 2335
 
6.7%
9 1615
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 6451
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 41575
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 6451
15.5%
5 6099
14.7%
0 5440
13.1%
1 5318
12.8%
2 3385
8.1%
3 2808
6.8%
7 2767
6.7%
8 2687
6.5%
6 2618
6.3%
4 2335
 
5.6%
Other values (5) 1667
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41575
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6451
15.5%
5 6099
14.7%
0 5440
13.1%
1 5318
12.8%
2 3385
8.1%
3 2808
6.8%
7 2767
6.7%
8 2687
6.5%
6 2618
6.3%
4 2335
 
5.6%
Other values (5) 1667
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4372
Missing (%)100.0%
Memory size38.6 KiB

소재지우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct667
Distinct (%)22.9%
Missing1465
Missing (%)33.5%
Infinite0
Infinite (%)0.0%
Mean610045.63
Minimum46988
Maximum626756
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2024-04-17T14:51:48.126720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46988
5-th percentile601823
Q1607842
median609832
Q3613927
95-th percentile617838
Maximum626756
Range579768
Interquartile range (IQR)6085

Descriptive statistics

Standard deviation18714.953
Coefficient of variation (CV)0.030677956
Kurtosis843.31276
Mean610045.63
Median Absolute Deviation (MAD)2994
Skewness-28.098795
Sum1.7734027 × 109
Variance3.5024947 × 108
MonotonicityNot monotonic
2024-04-17T14:51:48.241164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609400 94
 
2.2%
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%
612011 19
 
0.4%
Other values (657) 2455
56.2%
(Missing) 1465
33.5%
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 

Distinct3344
Distinct (%)81.5%
Missing271
Missing (%)6.2%
Memory size34.3 KiB
2024-04-17T14:51:48.570844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length50
Mean length23.840527
Min length11

Characters and Unicode

Total characters97770
Distinct characters363
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

Unique2843 ?
Unique (%)69.3%

Sample

1st row부산광역시 중구 중앙동4가 47번지 1호
2nd row부산광역시 중구 부평동 2가 66-5
3rd row부산광역시 중구 중앙동4가 47번지
4th row부산광역시 중구 영주동 1가 616-6
5th row부산광역시 중구 영주동 23-18
ValueCountFrequency (%)
부산광역시 4073
 
19.7%
금정구 684
 
3.3%
부산진구 474
 
2.3%
1호 448
 
2.2%
해운대구 380
 
1.8%
동래구 340
 
1.6%
남구 318
 
1.5%
사하구 270
 
1.3%
연제구 250
 
1.2%
수영구 219
 
1.1%
Other values (2958) 13255
64.0%
2024-04-17T14:51:49.014246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16655
17.0%
1 5216
 
5.3%
부 4990
 
5.1%
산 4903
 
5.0%
동 4685
 
4.8%
광 4220
 
4.3%
구 4155
 
4.2%
시 4121
 
4.2%
역 4081
 
4.2%
지 3325
 
3.4%
Other values (353) 41419
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58718
60.1%
Decimal Number 21181
 
21.7%
Space Separator 16655
 
17.0%
Dash Punctuation 844
 
0.9%
Other Punctuation 105
 
0.1%
Uppercase Letter 84
 
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 4990
 
8.5%
산 4903
 
8.4%
동 4685
 
8.0%
광 4220
 
7.2%
구 4155
 
7.1%
시 4121
 
7.0%
역 4081
 
7.0%
지 3325
 
5.7%
호 3313
 
5.6%
번 3186
 
5.4%
Other values (305) 17739
30.2%
Uppercase Letter
ValueCountFrequency (%)
B 14
16.7%
G 11
13.1%
S 9
10.7%
K 9
10.7%
L 9
10.7%
A 6
7.1%
F 4
 
4.8%
P 3
 
3.6%
T 3
 
3.6%
O 2
 
2.4%
Other values (10) 14
16.7%
Decimal Number
ValueCountFrequency (%)
1 5216
24.6%
2 3135
14.8%
3 2438
11.5%
4 1989
 
9.4%
5 1744
 
8.2%
0 1460
 
6.9%
6 1433
 
6.8%
7 1424
 
6.7%
8 1199
 
5.7%
9 1143
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
s 7
35.0%
i 5
25.0%
e 3
15.0%
u 1
 
5.0%
l 1
 
5.0%
p 1
 
5.0%
k 1
 
5.0%
j 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 80
76.2%
@ 19
 
18.1%
· 4
 
3.8%
. 1
 
1.0%
/ 1
 
1.0%
Space Separator
ValueCountFrequency (%)
16655
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 844
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 58718
60.1%
Common 38948
39.8%
Latin 104
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 4990
 
8.5%
산 4903
 
8.4%
동 4685
 
8.0%
광 4220
 
7.2%
구 4155
 
7.1%
시 4121
 
7.0%
역 4081
 
7.0%
지 3325
 
5.7%
호 3313
 
5.6%
번 3186
 
5.4%
Other values (305) 17739
30.2%
Latin
ValueCountFrequency (%)
B 14
13.5%
G 11
10.6%
S 9
 
8.7%
K 9
 
8.7%
L 9
 
8.7%
s 7
 
6.7%
A 6
 
5.8%
i 5
 
4.8%
F 4
 
3.8%
P 3
 
2.9%
Other values (18) 27
26.0%
Common
ValueCountFrequency (%)
16655
42.8%
1 5216
 
13.4%
2 3135
 
8.0%
3 2438
 
6.3%
4 1989
 
5.1%
5 1744
 
4.5%
0 1460
 
3.7%
6 1433
 
3.7%
7 1424
 
3.7%
8 1199
 
3.1%
Other values (10) 2255
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58718
60.1%
ASCII 39048
39.9%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16655
42.7%
1 5216
 
13.4%
2 3135
 
8.0%
3 2438
 
6.2%
4 1989
 
5.1%
5 1744
 
4.5%
0 1460
 
3.7%
6 1433
 
3.7%
7 1424
 
3.6%
8 1199
 
3.1%
Other values (37) 2355
 
6.0%
Hangul
ValueCountFrequency (%)
부 4990
 
8.5%
산 4903
 
8.4%
동 4685
 
8.0%
광 4220
 
7.2%
구 4155
 
7.1%
시 4121
 
7.0%
역 4081
 
7.0%
지 3325
 
5.7%
호 3313
 
5.6%
번 3186
 
5.4%
Other values (305) 17739
30.2%
None
ValueCountFrequency (%)
· 4
100.0%

도로명전체주소
Text

MISSING 

Distinct2792
Distinct (%)73.7%
Missing583
Missing (%)13.3%
Memory size34.3 KiB
2024-04-17T14:51:49.312182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length53
Mean length27.326471
Min length20

Characters and Unicode

Total characters103540
Distinct characters427
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

Unique2182 ?
Unique (%)57.6%

Sample

1st row부산광역시 중구 해관로 69, 1층 (중앙동4가)
2nd row부산광역시 중구 중앙대로81번길 8 (중앙동4가)
3rd row부산광역시 중구 중앙대로147번길 3 (영주동)
4th row부산광역시 중구 초량중로 4 (영주동)
5th row부산광역시 중구 자갈치로 38 (남포동6가)
ValueCountFrequency (%)
부산광역시 3789
 
18.0%
1층 604
 
2.9%
금정구 604
 
2.9%
부산진구 438
 
2.1%
해운대구 341
 
1.6%
동래구 295
 
1.4%
사하구 254
 
1.2%
연제구 252
 
1.2%
중앙대로 221
 
1.1%
북구 220
 
1.0%
Other values (2506) 13979
66.6%
2024-04-17T14:51:49.731235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17228
 
16.6%
동 4827
 
4.7%
부 4711
 
4.5%
산 4625
 
4.5%
1 4005
 
3.9%
광 3985
 
3.8%
시 3955
 
3.8%
구 3931
 
3.8%
역 3796
 
3.7%
로 3752
 
3.6%
Other values (417) 48725
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62182
60.1%
Space Separator 17228
 
16.6%
Decimal Number 14540
 
14.0%
Open Punctuation 3675
 
3.5%
Close Punctuation 3675
 
3.5%
Other Punctuation 1612
 
1.6%
Dash Punctuation 506
 
0.5%
Uppercase Letter 86
 
0.1%
Lowercase Letter 28
 
< 0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4827
 
7.8%
부 4711
 
7.6%
산 4625
 
7.4%
광 3985
 
6.4%
시 3955
 
6.4%
구 3931
 
6.3%
역 3796
 
6.1%
로 3752
 
6.0%
대 1805
 
2.9%
정 1001
 
1.6%
Other values (369) 25794
41.5%
Uppercase Letter
ValueCountFrequency (%)
B 20
23.3%
S 11
12.8%
K 11
12.8%
G 6
 
7.0%
L 5
 
5.8%
A 4
 
4.7%
F 4
 
4.7%
C 3
 
3.5%
E 3
 
3.5%
D 3
 
3.5%
Other values (10) 16
18.6%
Decimal Number
ValueCountFrequency (%)
1 4005
27.5%
2 2032
14.0%
3 1413
 
9.7%
0 1240
 
8.5%
4 1121
 
7.7%
5 1117
 
7.7%
6 975
 
6.7%
7 956
 
6.6%
9 856
 
5.9%
8 825
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
s 8
28.6%
i 6
21.4%
e 5
17.9%
u 2
 
7.1%
q 2
 
7.1%
a 2
 
7.1%
r 2
 
7.1%
j 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 1600
99.3%
· 6
 
0.4%
@ 4
 
0.2%
. 2
 
0.1%
Space Separator
ValueCountFrequency (%)
17228
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3675
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3675
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 506
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62182
60.1%
Common 41243
39.8%
Latin 115
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4827
 
7.8%
부 4711
 
7.6%
산 4625
 
7.4%
광 3985
 
6.4%
시 3955
 
6.4%
구 3931
 
6.3%
역 3796
 
6.1%
로 3752
 
6.0%
대 1805
 
2.9%
정 1001
 
1.6%
Other values (369) 25794
41.5%
Latin
ValueCountFrequency (%)
B 20
17.4%
S 11
 
9.6%
K 11
 
9.6%
s 8
 
7.0%
G 6
 
5.2%
i 6
 
5.2%
L 5
 
4.3%
e 5
 
4.3%
A 4
 
3.5%
F 4
 
3.5%
Other values (19) 35
30.4%
Common
ValueCountFrequency (%)
17228
41.8%
1 4005
 
9.7%
( 3675
 
8.9%
) 3675
 
8.9%
2 2032
 
4.9%
, 1600
 
3.9%
3 1413
 
3.4%
0 1240
 
3.0%
4 1121
 
2.7%
5 1117
 
2.7%
Other values (9) 4137
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62182
60.1%
ASCII 41351
39.9%
None 6
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17228
41.7%
1 4005
 
9.7%
( 3675
 
8.9%
) 3675
 
8.9%
2 2032
 
4.9%
, 1600
 
3.9%
3 1413
 
3.4%
0 1240
 
3.0%
4 1121
 
2.7%
5 1117
 
2.7%
Other values (36) 4245
 
10.3%
Hangul
ValueCountFrequency (%)
동 4827
 
7.8%
부 4711
 
7.6%
산 4625
 
7.4%
광 3985
 
6.4%
시 3955
 
6.4%
구 3931
 
6.3%
역 3796
 
6.1%
로 3752
 
6.0%
대 1805
 
2.9%
정 1001
 
1.6%
Other values (369) 25794
41.5%
None
ValueCountFrequency (%)
· 6
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1210
Distinct (%)40.4%
Missing1380
Missing (%)31.6%
Infinite0
Infinite (%)0.0%
Mean186154.47
Minimum46002
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2024-04-17T14:51:49.856963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46246.65
Q147268
median48262
Q349520
95-th percentile616805.45
Maximum619963
Range573961
Interquartile range (IQR)2252

Descriptive statistics

Standard deviation242476
Coefficient of variation (CV)1.3025527
Kurtosis-0.60081585
Mean186154.47
Median Absolute Deviation (MAD)1081
Skewness1.1827076
Sum5.5697416 × 108
Variance5.8794609 × 1010
MonotonicityNot monotonic
2024-04-17T14:51:49.963640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47257 19
 
0.4%
48095 17
 
0.4%
46015 17
 
0.4%
47286 16
 
0.4%
46726 14
 
0.3%
47181 14
 
0.3%
46576 13
 
0.3%
601812 13
 
0.3%
48254 13
 
0.3%
49241 12
 
0.3%
Other values (1200) 2844
65.1%
(Missing) 1380
31.6%
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

Distinct1713
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
2024-04-17T14:51:50.225622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length4
Mean length4.7127173
Min length3

Characters and Unicode

Total characters20604
Distinct characters409
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

Unique994 ?
Unique (%)22.7%

Sample

1st row역전미도약국
2nd row위생약국
3rd row역전미도약국
4th row주성약국
5th row제일약국
ValueCountFrequency (%)
약국 98
 
2.2%
우리약국 53
 
1.2%
제일약국 50
 
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 (1701) 4089
90.1%
2024-04-17T14:51:50.600849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 4379
21.3%
약 4376
21.2%
리 361
 
1.8%
한 309
 
1.5%
대 294
 
1.4%
동 286
 
1.4%
우 219
 
1.1%
은 202
 
1.0%
신 200
 
1.0%
성 188
 
0.9%
Other values (399) 9790
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20323
98.6%
Space Separator 166
 
0.8%
Decimal Number 67
 
0.3%
Uppercase Letter 21
 
0.1%
Lowercase Letter 19
 
0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 4379
21.5%
약 4376
21.5%
리 361
 
1.8%
한 309
 
1.5%
대 294
 
1.4%
동 286
 
1.4%
우 219
 
1.1%
은 202
 
1.0%
신 200
 
1.0%
성 188
 
0.9%
Other values (367) 9509
46.8%
Decimal Number
ValueCountFrequency (%)
1 23
34.3%
2 20
29.9%
3 5
 
7.5%
0 5
 
7.5%
5 4
 
6.0%
7 2
 
3.0%
4 2
 
3.0%
9 2
 
3.0%
8 2
 
3.0%
6 2
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
T 5
23.8%
L 5
23.8%
G 5
23.8%
O 1
 
4.8%
E 1
 
4.8%
M 1
 
4.8%
R 1
 
4.8%
K 1
 
4.8%
S 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
h 5
26.3%
e 5
26.3%
i 3
15.8%
m 1
 
5.3%
r 1
 
5.3%
a 1
 
5.3%
p 1
 
5.3%
y 1
 
5.3%
b 1
 
5.3%
Space Separator
ValueCountFrequency (%)
166
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20322
98.6%
Common 241
 
1.2%
Latin 40
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 4379
21.5%
약 4376
21.5%
리 361
 
1.8%
한 309
 
1.5%
대 294
 
1.4%
동 286
 
1.4%
우 219
 
1.1%
은 202
 
1.0%
신 200
 
1.0%
성 188
 
0.9%
Other values (366) 9508
46.8%
Latin
ValueCountFrequency (%)
T 5
12.5%
h 5
12.5%
e 5
12.5%
L 5
12.5%
G 5
12.5%
i 3
 
7.5%
O 1
 
2.5%
E 1
 
2.5%
M 1
 
2.5%
R 1
 
2.5%
Other values (8) 8
20.0%
Common
ValueCountFrequency (%)
166
68.9%
1 23
 
9.5%
2 20
 
8.3%
3 5
 
2.1%
0 5
 
2.1%
5 4
 
1.7%
) 3
 
1.2%
( 3
 
1.2%
7 2
 
0.8%
. 2
 
0.8%
Other values (4) 8
 
3.3%
Han
ValueCountFrequency (%)
東 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20322
98.6%
ASCII 281
 
1.4%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 4379
21.5%
약 4376
21.5%
리 361
 
1.8%
한 309
 
1.5%
대 294
 
1.4%
동 286
 
1.4%
우 219
 
1.1%
은 202
 
1.0%
신 200
 
1.0%
성 188
 
0.9%
Other values (366) 9508
46.8%
ASCII
ValueCountFrequency (%)
166
59.1%
1 23
 
8.2%
2 20
 
7.1%
3 5
 
1.8%
0 5
 
1.8%
T 5
 
1.8%
h 5
 
1.8%
e 5
 
1.8%
L 5
 
1.8%
G 5
 
1.8%
Other values (22) 37
 
13.2%
CJK
ValueCountFrequency (%)
東 1
100.0%

최종수정시점
Real number (ℝ)

Distinct4265
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0139735 × 1013
Minimum2.0081125 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2024-04-17T14:51:50.726991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0081125 × 1013
5-th percentile2.009012 × 1013
Q12.0111014 × 1013
median2.0140409 × 1013
Q32.0170501 × 1013
95-th percentile2.0200312 × 1013
Maximum2.0201231 × 1013
Range1.2010596 × 1011
Interquartile range (IQR)5.9487529 × 1010

Descriptive statistics

Standard deviation3.5476283 × 1010
Coefficient of variation (CV)0.0017615069
Kurtosis-1.1066246
Mean2.0139735 × 1013
Median Absolute Deviation (MAD)2.9781537 × 1010
Skewness0.069015516
Sum8.8050923 × 1016
Variance1.2585667 × 1021
MonotonicityNot monotonic
2024-04-17T14:51:50.855539image/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
 
0.3%
20081201183321 11
 
0.3%
20160801171849 1
 
< 0.1%
20200213153004 1
 
< 0.1%
20120304131520 1
 
< 0.1%
20140728153044 1
 
< 0.1%
20191119150126 1
 
< 0.1%
Other values (4255) 4255
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 (%)
20201231141602 1
< 0.1%
20201231140933 1
< 0.1%
20201231094854 1
< 0.1%
20201230161234 1
< 0.1%
20201230151803 1
< 0.1%
20201230142113 1
< 0.1%
20201230111848 1
< 0.1%
20201230092157 1
< 0.1%
20201229171355 1
< 0.1%
20201229111303 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
I
3875 
U
497 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 3875
88.6%
U 497
 
11.4%

Length

2024-04-17T14:51:50.965472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:51:51.050908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 3875
88.6%
u 497
 
11.4%

데이터갱신일자
Date

Distinct457
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-02 02:40:00
2024-04-17T14:51:51.148259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T14:51:51.266308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4372
Missing (%)100.0%
Memory size38.6 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct2297
Distinct (%)60.3%
Missing561
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean388330.56
Minimum366778.84
Maximum407507.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2024-04-17T14:51:51.384403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366778.84
5-th percentile379937.2
Q1384537.08
median388989.35
Q3391343.08
95-th percentile397895.48
Maximum407507.94
Range40729.102
Interquartile range (IQR)6806.0007

Descriptive statistics

Standard deviation5312.3645
Coefficient of variation (CV)0.013680006
Kurtosis0.70190471
Mean388330.56
Median Absolute Deviation (MAD)3123.611
Skewness0.10020564
Sum1.4799278 × 109
Variance28221216
MonotonicityNot monotonic
2024-04-17T14:51:51.504261image/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
 
0.3%
383836.715027165 11
 
0.3%
392474.578116018 9
 
0.2%
398694.155871524 8
 
0.2%
383838.213535785 8
 
0.2%
389933.629590491 8
 
0.2%
398155.660814985 8
 
0.2%
381041.901040161 8
 
0.2%
Other values (2287) 3716
85.0%
(Missing) 561
 
12.8%
ValueCountFrequency (%)
366778.837130241 1
< 0.1%
367451.087635496 2
< 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 

Distinct2299
Distinct (%)60.3%
Missing561
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean187899.54
Minimum174031.94
Maximum206378.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2024-04-17T14:51:51.621912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174031.94
5-th percentile178426.92
Q1183734.72
median187641.88
Q3192207.75
95-th percentile197981.04
Maximum206378.28
Range32346.346
Interquartile range (IQR)8473.032

Descriptive statistics

Standard deviation6205.7225
Coefficient of variation (CV)0.033026811
Kurtosis-0.21167834
Mean187899.54
Median Absolute Deviation (MAD)4377.4489
Skewness0.23086493
Sum7.1608514 × 108
Variance38510992
MonotonicityNot monotonic
2024-04-17T14:51:51.737634image/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%
177679.311431902 11
 
0.3%
192580.29003502 11
 
0.3%
179724.598642884 8
 
0.2%
187681.573589165 8
 
0.2%
179455.22013973 8
 
0.2%
196180.465116547 8
 
0.2%
188302.926584749 8
 
0.2%
195414.877926753 7
 
0.2%
Other values (2289) 3718
85.0%
(Missing) 561
 
12.8%
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 

Distinct1562
Distinct (%)35.7%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean67.042423
Minimum0
Maximum74949
Zeros446
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2024-04-17T14:51:51.854812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122.54
median43.46
Q367.99
95-th percentile129.86
Maximum74949
Range74949
Interquartile range (IQR)45.45

Descriptive statistics

Standard deviation1133.7801
Coefficient of variation (CV)16.911382
Kurtosis4357.2176
Mean67.042423
Median Absolute Deviation (MAD)22.54
Skewness65.957314
Sum293042.43
Variance1285457.2
MonotonicityNot monotonic
2024-04-17T14:51:51.970027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 446
 
10.2%
1.0 422
 
9.7%
33.0 50
 
1.1%
66.0 49
 
1.1%
49.5 41
 
0.9%
99.0 32
 
0.7%
82.5 30
 
0.7%
39.6 23
 
0.5%
46.2 23
 
0.5%
30.0 22
 
0.5%
Other values (1552) 3233
73.9%
ValueCountFrequency (%)
0.0 446
10.2%
1.0 422
9.7%
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)

Distinct3037
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20055647
Minimum19610316
Maximum20210101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2024-04-17T14:51:52.098787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19610316
5-th percentile19790502
Q120010716
median20090302
Q320140331
95-th percentile20190213
Maximum20210101
Range599785
Interquartile range (IQR)129615.5

Descriptive statistics

Standard deviation117986.19
Coefficient of variation (CV)0.0058829411
Kurtosis1.3290682
Mean20055647
Median Absolute Deviation (MAD)59900
Skewness-1.3278718
Sum8.7683287 × 1010
Variance1.392074 × 1010
MonotonicityNot monotonic
2024-04-17T14:51:52.524598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090302 11
 
0.3%
20130701 10
 
0.2%
20140901 9
 
0.2%
20110502 9
 
0.2%
20070702 8
 
0.2%
19660301 8
 
0.2%
19691231 8
 
0.2%
20070402 7
 
0.2%
20180102 7
 
0.2%
20180702 7
 
0.2%
Other values (3027) 4288
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 (%)
20210101 1
< 0.1%
20201229 1
< 0.1%
20201228 1
< 0.1%
20201214 1
< 0.1%
20201210 1
< 0.1%
20201209 1
< 0.1%
20201208 1
< 0.1%
20201202 1
< 0.1%
20201120 1
< 0.1%
20201111 1
< 0.1%

Unnamed: 30
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4372
Missing (%)100.0%
Memory size38.6 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_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>
23약국01_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>
34약국01_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>
45약국01_01_06_P3250000PHMD11962325002108400000219620924<NA>3폐업3폐업20180402<NA><NA><NA>051-469-7037<NA><NA>부산광역시 중구 영주동 23-18부산광역시 중구 초량중로 4 (영주동)48911제일약국20180402113650I2018-08-31 23:59:59.0<NA>385563.705309181157.5907840.019620924<NA>
56약국01_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>
67약국01_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>
78약국01_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>
89약국01_01_06_P3250000PHMD11972325002108400000119720921<NA>3폐업3폐업20100531<NA><NA><NA>051-469-5386<NA><NA>부산광역시 중구 영주동 151-13<NA><NA>아파트약국20100531100915I2018-08-31 23:59:59.0<NA><NA><NA>0.019720921<NA>
910약국01_01_06_P3250000PHMD11973325002108400000119730601<NA>3폐업3폐업20140701<NA><NA><NA>051-245-1219<NA>600093부산광역시 중구 대청동3가 8번지 1호부산광역시 중구 대청로 83 (대청동3가)600093한사랑약국20140701105124I2018-08-31 23:59:59.0<NA>384931.796585180110.39881382.519730601<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)약국영업면적지정일자Unnamed: 30
43624363약국01_01_06_P3330000PHMD12020333002408400000320200420<NA>1영업/정상13영업중<NA><NA><NA><NA>051-912-4242<NA><NA>부산광역시 해운대구 반여동 1291번지 538호 1층부산광역시 해운대구 재반로 221-1, 1층 (반여동)48028하늘온누리약국20200420080243I2020-04-22 00:23:38.0<NA>393992.381059190734.47158932.020200420<NA>
43634364약국01_01_06_P3330000PHMD12020333002408400000820200805<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1314-2 화목데파트 303호부산광역시 해운대구 세실로 64, 303호 (좌동, 화목데파트)48107장산3층약국20200805173717I2020-08-07 00:23:15.0<NA>398320.764293187928.25829873.3520200805<NA>
43644365약국01_01_06_P3330000PHMD12020333002408400000720200729<NA>1영업/정상13영업중<NA><NA><NA><NA>051-710-6669<NA><NA>부산광역시 해운대구 반송동 194-1 1층부산광역시 해운대구 신반송로 180, 1층 (반송동)48011정문약국20200729141427I2020-07-31 00:23:26.0<NA>396603.468685194362.28784233.020200729<NA>
43654366약국01_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>
43664367약국01_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>
43674368약국01_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>
43684369약국01_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>
43694370약국01_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>
43704371약국01_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>
43714372약국01_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>