Overview

Dataset statistics

Number of variables34
Number of observations732
Missing cells6630
Missing cells (%)26.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory211.0 KiB
Average record size in memory295.2 B

Variable types

Numeric10
Categorical12
Unsupported7
Text4
DateTime1

Dataset

Description2021-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123015

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
휴업시작일자 is highly imbalanced (98.1%)Imbalance
휴업종료일자 is highly imbalanced (98.1%)Imbalance
재개업일자 is highly imbalanced (98.5%)Imbalance
축산업무구분명 is highly imbalanced (98.5%)Imbalance
권리주체일련번호 is highly imbalanced (98.5%)Imbalance
인허가취소일자 has 732 (100.0%) missing valuesMissing
폐업일자 has 523 (71.4%) missing valuesMissing
소재지전화 has 183 (25.0%) missing valuesMissing
소재지면적 has 501 (68.4%) missing valuesMissing
소재지우편번호 has 732 (100.0%) missing valuesMissing
소재지전체주소 has 93 (12.7%) missing valuesMissing
도로명전체주소 has 48 (6.6%) missing valuesMissing
도로명우편번호 has 74 (10.1%) missing valuesMissing
업태구분명 has 732 (100.0%) missing valuesMissing
좌표정보(x) has 42 (5.7%) missing valuesMissing
좌표정보(y) has 42 (5.7%) missing valuesMissing
축산물가공업구분명 has 732 (100.0%) missing valuesMissing
축산일련번호 has 732 (100.0%) missing valuesMissing
총종업원수 has 732 (100.0%) missing valuesMissing
Unnamed: 33 has 732 (100.0%) missing valuesMissing
도로명우편번호 is highly skewed (γ1 = 25.57918117)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 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
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 33 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 131 (17.9%) zerosZeros

Reproduction

Analysis started2024-04-16 03:31:04.710954
Analysis finished2024-04-16 03:31:05.318045
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct732
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean366.5
Minimum1
Maximum732
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-16T12:31:05.373187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile37.55
Q1183.75
median366.5
Q3549.25
95-th percentile695.45
Maximum732
Range731
Interquartile range (IQR)365.5

Descriptive statistics

Standard deviation211.45449
Coefficient of variation (CV)0.57695631
Kurtosis-1.2
Mean366.5
Median Absolute Deviation (MAD)183
Skewness0
Sum268278
Variance44713
MonotonicityStrictly increasing
2024-04-16T12:31:05.493753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
483 1
 
0.1%
485 1
 
0.1%
486 1
 
0.1%
487 1
 
0.1%
488 1
 
0.1%
489 1
 
0.1%
490 1
 
0.1%
491 1
 
0.1%
492 1
 
0.1%
Other values (722) 722
98.6%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
732 1
0.1%
731 1
0.1%
730 1
0.1%
729 1
0.1%
728 1
0.1%
727 1
0.1%
726 1
0.1%
725 1
0.1%
724 1
0.1%
723 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
동물약국
732 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물약국 732
100.0%

Length

2024-04-16T12:31:05.610036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:05.693710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물약국 732
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
02_03_02_P
732 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02_03_02_P
2nd row02_03_02_P
3rd row02_03_02_P
4th row02_03_02_P
5th row02_03_02_P

Common Values

ValueCountFrequency (%)
02_03_02_P 732
100.0%

Length

2024-04-16T12:31:05.775194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:05.856625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_02_p 732
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3328497.3
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-16T12:31:06.152674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13300000
median3330000
Q33352500
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)52500

Descriptive statistics

Standard deviation38727.131
Coefficient of variation (CV)0.01163502
Kurtosis-0.68018033
Mean3328497.3
Median Absolute Deviation (MAD)30000
Skewness0.1150392
Sum2.43646 × 109
Variance1.4997907 × 109
MonotonicityNot monotonic
2024-04-16T12:31:06.246615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 113
15.4%
3300000 96
13.1%
3290000 74
10.1%
3340000 62
8.5%
3320000 48
 
6.6%
3370000 45
 
6.1%
3310000 45
 
6.1%
3400000 43
 
5.9%
3350000 40
 
5.5%
3380000 40
 
5.5%
Other values (6) 126
17.2%
ValueCountFrequency (%)
3250000 24
 
3.3%
3260000 15
 
2.0%
3270000 18
 
2.5%
3280000 14
 
1.9%
3290000 74
10.1%
3300000 96
13.1%
3310000 45
 
6.1%
3320000 48
6.6%
3330000 113
15.4%
3340000 62
8.5%
ValueCountFrequency (%)
3400000 43
 
5.9%
3390000 33
 
4.5%
3380000 40
 
5.5%
3370000 45
 
6.1%
3360000 22
 
3.0%
3350000 40
 
5.5%
3340000 62
8.5%
3330000 113
15.4%
3320000 48
6.6%
3310000 45
 
6.1%

관리번호
Real number (ℝ)

UNIQUE 

Distinct732
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3284973 × 1017
Minimum3.25 × 1017
Maximum3.4 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-16T12:31:06.365757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.25 × 1017
5-th percentile3.26 × 1017
Q13.3 × 1017
median3.33 × 1017
Q33.3525 × 1017
95-th percentile3.4 × 1017
Maximum3.4 × 1017
Range1.5 × 1016
Interquartile range (IQR)5.25 × 1015

Descriptive statistics

Standard deviation3.8727131 × 1015
Coefficient of variation (CV)0.01163502
Kurtosis-0.68018033
Mean3.3284973 × 1017
Median Absolute Deviation (MAD)3 × 1015
Skewness0.1150392
Sum3.8383279 × 1018
Variance1.4997907 × 1031
MonotonicityNot monotonic
2024-04-16T12:31:06.488186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
325000001120170003 1
 
0.1%
335000001120200004 1
 
0.1%
335000001120200006 1
 
0.1%
335000001120180004 1
 
0.1%
335000001120200007 1
 
0.1%
335000001120210001 1
 
0.1%
336000001120190003 1
 
0.1%
336000001120190001 1
 
0.1%
336000001120190004 1
 
0.1%
336000001120190005 1
 
0.1%
Other values (722) 722
98.6%
ValueCountFrequency (%)
325000001120130001 1
0.1%
325000001120130002 1
0.1%
325000001120130003 1
0.1%
325000001120130004 1
0.1%
325000001120130005 1
0.1%
325000001120130006 1
0.1%
325000001120140001 1
0.1%
325000001120150001 1
0.1%
325000001120160001 1
0.1%
325000001120160002 1
0.1%
ValueCountFrequency (%)
340000001120210002 1
0.1%
340000001120210001 1
0.1%
340000001120200007 1
0.1%
340000001120200006 1
0.1%
340000001120200005 1
0.1%
340000001120200004 1
0.1%
340000001120200003 1
0.1%
340000001120200002 1
0.1%
340000001120200001 1
0.1%
340000001120190006 1
0.1%

인허가일자
Real number (ℝ)

Distinct583
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20151914
Minimum19950614
Maximum20210127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-16T12:31:06.616423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950614
5-th percentile20040618
Q120130813
median20170228
Q320190116
95-th percentile20200915
Maximum20210127
Range259513
Interquartile range (IQR)59303

Descriptive statistics

Standard deviation47896.303
Coefficient of variation (CV)0.0023767619
Kurtosis1.0724454
Mean20151914
Median Absolute Deviation (MAD)29160
Skewness-1.3006495
Sum1.4751201 × 1010
Variance2.2940558 × 109
MonotonicityNot monotonic
2024-04-16T12:31:06.743633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040416 7
 
1.0%
20040709 6
 
0.8%
20130806 5
 
0.7%
20130820 4
 
0.5%
20180906 4
 
0.5%
20130711 4
 
0.5%
20131014 4
 
0.5%
20181119 4
 
0.5%
20130506 3
 
0.4%
20181112 3
 
0.4%
Other values (573) 688
94.0%
ValueCountFrequency (%)
19950614 1
0.1%
19990721 1
0.1%
19991231 1
0.1%
20030708 1
0.1%
20031118 1
0.1%
20040227 1
0.1%
20040309 1
0.1%
20040310 2
0.3%
20040311 1
0.1%
20040322 1
0.1%
ValueCountFrequency (%)
20210127 2
0.3%
20210121 1
0.1%
20210120 1
0.1%
20210118 1
0.1%
20210114 1
0.1%
20210113 1
0.1%
20210112 1
0.1%
20210106 2
0.3%
20210105 1
0.1%
20201228 2
0.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing732
Missing (%)100.0%
Memory size6.6 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
1
519 
3
212 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 519
70.9%
3 212
29.0%
2 1
 
0.1%

Length

2024-04-16T12:31:06.860730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:06.948764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 519
70.9%
3 212
29.0%
2 1
 
0.1%

영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
영업/정상
519 
폐업
212 
휴업
 
1

Length

Max length5
Median length5
Mean length4.1270492
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 519
70.9%
폐업 212
29.0%
휴업 1
 
0.1%

Length

2024-04-16T12:31:07.043781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:07.132306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 519
70.9%
폐업 212
29.0%
휴업 1
 
0.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0
519 
2
212 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
0 519
70.9%
2 212
29.0%
1 1
 
0.1%

Length

2024-04-16T12:31:07.229784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:07.319516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 519
70.9%
2 212
29.0%
1 1
 
0.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
정상
519 
폐업
212 
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
정상 519
70.9%
폐업 212
29.0%
휴업 1
 
0.1%

Length

2024-04-16T12:31:07.412229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:07.499238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 519
70.9%
폐업 212
29.0%
휴업 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct197
Distinct (%)94.3%
Missing523
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean20156938
Minimum20050727
Maximum20210115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-16T12:31:07.600091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050727
5-th percentile20060808
Q120141015
median20170403
Q320190312
95-th percentile20200673
Maximum20210115
Range159388
Interquartile range (IQR)49297

Descriptive statistics

Standard deviation41533.179
Coefficient of variation (CV)0.0020604905
Kurtosis0.47185566
Mean20156938
Median Absolute Deviation (MAD)20110
Skewness-1.1991479
Sum4.2128001 × 109
Variance1.725005 × 109
MonotonicityNot monotonic
2024-04-16T12:31:07.725663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140825 3
 
0.4%
20160801 2
 
0.3%
20160404 2
 
0.3%
20050727 2
 
0.3%
20151208 2
 
0.3%
20180402 2
 
0.3%
20161010 2
 
0.3%
20200227 2
 
0.3%
20200306 2
 
0.3%
20160711 2
 
0.3%
Other values (187) 188
 
25.7%
(Missing) 523
71.4%
ValueCountFrequency (%)
20050727 2
0.3%
20050801 1
0.1%
20051101 1
0.1%
20060224 1
0.1%
20060426 1
0.1%
20060627 1
0.1%
20060629 1
0.1%
20060714 1
0.1%
20060731 1
0.1%
20060801 1
0.1%
ValueCountFrequency (%)
20210115 1
0.1%
20201230 1
0.1%
20201228 1
0.1%
20201211 1
0.1%
20201130 1
0.1%
20201126 1
0.1%
20200929 1
0.1%
20200831 1
0.1%
20200715 1
0.1%
20200713 1
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
730 
20190715
 
1
20191231
 
1

Length

Max length8
Median length4
Mean length4.010929
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 730
99.7%
20190715 1
 
0.1%
20191231 1
 
0.1%

Length

2024-04-16T12:31:07.856807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:07.958827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 730
99.7%
20190715 1
 
0.1%
20191231 1
 
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
730 
20201231
 
1
20200228
 
1

Length

Max length8
Median length4
Mean length4.010929
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 730
99.7%
20201231 1
 
0.1%
20200228 1
 
0.1%

Length

2024-04-16T12:31:08.063094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:08.165706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 730
99.7%
20201231 1
 
0.1%
20200228 1
 
0.1%

재개업일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
731 
20200206
 
1

Length

Max length8
Median length4
Mean length4.0054645
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 731
99.9%
20200206 1
 
0.1%

Length

2024-04-16T12:31:08.290705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:08.389503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 731
99.9%
20200206 1
 
0.1%

소재지전화
Text

MISSING 

Distinct515
Distinct (%)93.8%
Missing183
Missing (%)25.0%
Memory size5.8 KiB
2024-04-16T12:31:08.585048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.604736
Min length4

Characters and Unicode

Total characters5822
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique483 ?
Unique (%)88.0%

Sample

1st row0512410075
2nd row07041550858
3rd row245-3155
4th row467-2270
5th row0516784226
ValueCountFrequency (%)
051-861-4722 3
 
0.5%
557-5713 3
 
0.5%
051-753-2077 2
 
0.4%
051-752-2828 2
 
0.4%
621-8383 2
 
0.4%
051-637-8113 2
 
0.4%
501-6022 2
 
0.4%
051-508-7228 2
 
0.4%
207-8225 2
 
0.4%
051-557-2410 2
 
0.4%
Other values (507) 529
96.0%
2024-04-16T12:31:08.917428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 859
14.8%
0 795
13.7%
- 790
13.6%
1 756
13.0%
2 496
8.5%
7 463
8.0%
6 381
6.5%
8 374
6.4%
3 368
6.3%
4 316
 
5.4%
Other values (3) 224
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5023
86.3%
Dash Punctuation 790
 
13.6%
Close Punctuation 7
 
0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 859
17.1%
0 795
15.8%
1 756
15.1%
2 496
9.9%
7 463
9.2%
6 381
7.6%
8 374
7.4%
3 368
7.3%
4 316
 
6.3%
9 215
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 790
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5822
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 859
14.8%
0 795
13.7%
- 790
13.6%
1 756
13.0%
2 496
8.5%
7 463
8.0%
6 381
6.5%
8 374
6.4%
3 368
6.3%
4 316
 
5.4%
Other values (3) 224
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5822
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 859
14.8%
0 795
13.7%
- 790
13.6%
1 756
13.0%
2 496
8.5%
7 463
8.0%
6 381
6.5%
8 374
6.4%
3 368
6.3%
4 316
 
5.4%
Other values (3) 224
 
3.8%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct81
Distinct (%)35.1%
Missing501
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean98.508268
Minimum0
Maximum5577.83
Zeros131
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-16T12:31:09.043654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q348
95-th percentile413.335
Maximum5577.83
Range5577.83
Interquartile range (IQR)48

Descriptive statistics

Standard deviation446.5528
Coefficient of variation (CV)4.5331504
Kurtosis103.86031
Mean98.508268
Median Absolute Deviation (MAD)0
Skewness9.3360917
Sum22755.41
Variance199409.4
MonotonicityNot monotonic
2024-04-16T12:31:09.167196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 131
 
17.9%
50.0 4
 
0.5%
48.0 4
 
0.5%
1.0 3
 
0.4%
2.0 3
 
0.4%
60.0 3
 
0.4%
75.0 2
 
0.3%
30.0 2
 
0.3%
25.0 2
 
0.3%
18.9 2
 
0.3%
Other values (71) 75
 
10.2%
(Missing) 501
68.4%
ValueCountFrequency (%)
0.0 131
17.9%
1.0 3
 
0.4%
2.0 3
 
0.4%
3.0 1
 
0.1%
10.0 1
 
0.1%
10.23 1
 
0.1%
10.25 1
 
0.1%
10.5 1
 
0.1%
10.56 1
 
0.1%
12.0 1
 
0.1%
ValueCountFrequency (%)
5577.83 1
0.1%
2467.46 1
0.1%
2091.47 1
0.1%
1280.0 1
0.1%
1115.35 1
0.1%
930.0 1
0.1%
695.63 1
0.1%
596.01 1
0.1%
584.24 1
0.1%
553.9 1
0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing732
Missing (%)100.0%
Memory size6.6 KiB

소재지전체주소
Text

MISSING 

Distinct573
Distinct (%)89.7%
Missing93
Missing (%)12.7%
Memory size5.8 KiB
2024-04-16T12:31:09.413882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length23.716745
Min length12

Characters and Unicode

Total characters15155
Distinct characters270
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique518 ?
Unique (%)81.1%

Sample

1st row부산광역시 중구 보수동1가 91-1번지
2nd row부산광역시 중구 중앙동7가 20-1
3rd row부산광역시 중구 남포동5가 80-3번지
4th row부산광역시 중구 동광동5가 16-266번지
5th row부산광역시 중구 중앙동7가 20-1번지
ValueCountFrequency (%)
부산광역시 639
 
22.1%
해운대구 92
 
3.2%
동래구 89
 
3.1%
사하구 60
 
2.1%
부산진구 53
 
1.8%
기장군 43
 
1.5%
북구 41
 
1.4%
연제구 41
 
1.4%
금정구 38
 
1.3%
남구 37
 
1.3%
Other values (838) 1758
60.8%
2024-04-16T12:31:09.815934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2303
 
15.2%
동 750
 
4.9%
부 746
 
4.9%
산 744
 
4.9%
광 658
 
4.3%
시 656
 
4.3%
1 649
 
4.3%
역 642
 
4.2%
구 615
 
4.1%
지 584
 
3.9%
Other values (260) 6808
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9305
61.4%
Decimal Number 2964
 
19.6%
Space Separator 2303
 
15.2%
Dash Punctuation 551
 
3.6%
Uppercase Letter 17
 
0.1%
Lowercase Letter 7
 
< 0.1%
Other Punctuation 5
 
< 0.1%
Letter Number 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 750
 
8.1%
부 746
 
8.0%
산 744
 
8.0%
광 658
 
7.1%
시 656
 
7.0%
역 642
 
6.9%
구 615
 
6.6%
지 584
 
6.3%
번 552
 
5.9%
대 157
 
1.7%
Other values (225) 3201
34.4%
Uppercase Letter
ValueCountFrequency (%)
K 3
17.6%
S 3
17.6%
H 2
11.8%
B 2
11.8%
L 1
 
5.9%
D 1
 
5.9%
G 1
 
5.9%
A 1
 
5.9%
Y 1
 
5.9%
U 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 649
21.9%
2 397
13.4%
3 329
11.1%
4 285
9.6%
7 238
 
8.0%
0 237
 
8.0%
5 233
 
7.9%
6 225
 
7.6%
8 213
 
7.2%
9 158
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
q 1
14.3%
r 1
14.3%
a 1
14.3%
u 1
14.3%
s 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 2
40.0%
· 1
20.0%
？ 1
20.0%
@ 1
20.0%
Space Separator
ValueCountFrequency (%)
2303
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 551
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9305
61.4%
Common 5824
38.4%
Latin 26
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 750
 
8.1%
부 746
 
8.0%
산 744
 
8.0%
광 658
 
7.1%
시 656
 
7.0%
역 642
 
6.9%
구 615
 
6.6%
지 584
 
6.3%
번 552
 
5.9%
대 157
 
1.7%
Other values (225) 3201
34.4%
Latin
ValueCountFrequency (%)
K 3
 
11.5%
S 3
 
11.5%
H 2
 
7.7%
B 2
 
7.7%
e 2
 
7.7%
Ⅱ 2
 
7.7%
L 1
 
3.8%
D 1
 
3.8%
G 1
 
3.8%
q 1
 
3.8%
Other values (8) 8
30.8%
Common
ValueCountFrequency (%)
2303
39.5%
1 649
 
11.1%
- 551
 
9.5%
2 397
 
6.8%
3 329
 
5.6%
4 285
 
4.9%
7 238
 
4.1%
0 237
 
4.1%
5 233
 
4.0%
6 225
 
3.9%
Other values (7) 377
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9305
61.4%
ASCII 5846
38.6%
Number Forms 2
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2303
39.4%
1 649
 
11.1%
- 551
 
9.4%
2 397
 
6.8%
3 329
 
5.6%
4 285
 
4.9%
7 238
 
4.1%
0 237
 
4.1%
5 233
 
4.0%
6 225
 
3.8%
Other values (22) 399
 
6.8%
Hangul
ValueCountFrequency (%)
동 750
 
8.1%
부 746
 
8.0%
산 744
 
8.0%
광 658
 
7.1%
시 656
 
7.0%
역 642
 
6.9%
구 615
 
6.6%
지 584
 
6.3%
번 552
 
5.9%
대 157
 
1.7%
Other values (225) 3201
34.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
None
ValueCountFrequency (%)
· 1
50.0%
？ 1
50.0%

도로명전체주소
Text

MISSING 

Distinct623
Distinct (%)91.1%
Missing48
Missing (%)6.6%
Memory size5.8 KiB
2024-04-16T12:31:10.149677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length49
Mean length29.25731
Min length20

Characters and Unicode

Total characters20012
Distinct characters332
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

Unique575 ?
Unique (%)84.1%

Sample

1st row부산광역시 중구 흑교로52번길 6-1 (보수동1가)
2nd row부산광역시 중구 중앙대로 2 (중앙동7가, 롯데마트광복점)
3rd row부산광역시 중구 자갈치로47번길 1 (남포동5가)
4th row부산광역시 중구 중구로 124-3 (동광동5가)
5th row부산광역시 중구 중앙대로 2 (중앙동7가)
ValueCountFrequency (%)
부산광역시 684
 
16.9%
1층 127
 
3.1%
해운대구 108
 
2.7%
동래구 80
 
2.0%
부산진구 74
 
1.8%
사하구 53
 
1.3%
북구 43
 
1.1%
연제구 43
 
1.1%
남구 43
 
1.1%
기장군 42
 
1.0%
Other values (1010) 2740
67.9%
2024-04-16T12:31:10.628950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3353
 
16.8%
동 893
 
4.5%
부 829
 
4.1%
산 826
 
4.1%
1 763
 
3.8%
시 736
 
3.7%
광 724
 
3.6%
역 688
 
3.4%
로 680
 
3.4%
구 680
 
3.4%
Other values (322) 9840
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12069
60.3%
Space Separator 3353
 
16.8%
Decimal Number 2761
 
13.8%
Open Punctuation 646
 
3.2%
Close Punctuation 646
 
3.2%
Other Punctuation 410
 
2.0%
Dash Punctuation 88
 
0.4%
Uppercase Letter 28
 
0.1%
Lowercase Letter 7
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 893
 
7.4%
부 829
 
6.9%
산 826
 
6.8%
시 736
 
6.1%
광 724
 
6.0%
역 688
 
5.7%
로 680
 
5.6%
구 680
 
5.6%
대 374
 
3.1%
호 190
 
1.6%
Other values (286) 5449
45.1%
Uppercase Letter
ValueCountFrequency (%)
S 5
17.9%
B 5
17.9%
K 4
14.3%
A 4
14.3%
D 2
 
7.1%
H 2
 
7.1%
V 1
 
3.6%
C 1
 
3.6%
T 1
 
3.6%
M 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 763
27.6%
2 395
14.3%
0 278
 
10.1%
3 266
 
9.6%
5 234
 
8.5%
4 204
 
7.4%
6 175
 
6.3%
7 162
 
5.9%
8 149
 
5.4%
9 135
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
s 1
14.3%
q 1
14.3%
r 1
14.3%
a 1
14.3%
u 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 408
99.5%
· 2
 
0.5%
Space Separator
ValueCountFrequency (%)
3353
100.0%
Open Punctuation
ValueCountFrequency (%)
( 646
100.0%
Close Punctuation
ValueCountFrequency (%)
) 646
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12069
60.3%
Common 7906
39.5%
Latin 37
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 893
 
7.4%
부 829
 
6.9%
산 826
 
6.8%
시 736
 
6.1%
광 724
 
6.0%
역 688
 
5.7%
로 680
 
5.6%
구 680
 
5.6%
대 374
 
3.1%
호 190
 
1.6%
Other values (286) 5449
45.1%
Latin
ValueCountFrequency (%)
S 5
13.5%
B 5
13.5%
K 4
10.8%
A 4
10.8%
e 2
 
5.4%
D 2
 
5.4%
H 2
 
5.4%
Ⅱ 2
 
5.4%
V 1
 
2.7%
C 1
 
2.7%
Other values (9) 9
24.3%
Common
ValueCountFrequency (%)
3353
42.4%
1 763
 
9.7%
( 646
 
8.2%
) 646
 
8.2%
, 408
 
5.2%
2 395
 
5.0%
0 278
 
3.5%
3 266
 
3.4%
5 234
 
3.0%
4 204
 
2.6%
Other values (7) 713
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12069
60.3%
ASCII 7939
39.7%
None 2
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3353
42.2%
1 763
 
9.6%
( 646
 
8.1%
) 646
 
8.1%
, 408
 
5.1%
2 395
 
5.0%
0 278
 
3.5%
3 266
 
3.4%
5 234
 
2.9%
4 204
 
2.6%
Other values (24) 746
 
9.4%
Hangul
ValueCountFrequency (%)
동 893
 
7.4%
부 829
 
6.9%
산 826
 
6.8%
시 736
 
6.1%
광 724
 
6.0%
역 688
 
5.7%
로 680
 
5.6%
구 680
 
5.6%
대 374
 
3.1%
호 190
 
1.6%
Other values (286) 5449
45.1%
None
ValueCountFrequency (%)
· 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct365
Distinct (%)55.5%
Missing74
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean48590.913
Minimum46008
Maximum612853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-16T12:31:10.758542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46008
5-th percentile46066
Q147019.75
median47846.5
Q348297.75
95-th percentile49384.55
Maximum612853
Range566845
Interquartile range (IQR)1278

Descriptive statistics

Standard deviation22051.389
Coefficient of variation (CV)0.45381714
Kurtosis655.5237
Mean48590.913
Median Absolute Deviation (MAD)653.5
Skewness25.579181
Sum31972821
Variance4.8626377 × 108
MonotonicityNot monotonic
2024-04-16T12:31:10.877929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 10
 
1.4%
46015 9
 
1.2%
46964 8
 
1.1%
47286 8
 
1.1%
48095 7
 
1.0%
47851 6
 
0.8%
48092 6
 
0.8%
49509 6
 
0.8%
47257 6
 
0.8%
48060 6
 
0.8%
Other values (355) 586
80.1%
(Missing) 74
 
10.1%
ValueCountFrequency (%)
46008 2
 
0.3%
46015 9
1.2%
46017 4
0.5%
46022 1
 
0.1%
46023 2
 
0.3%
46033 2
 
0.3%
46036 2
 
0.3%
46048 1
 
0.1%
46055 3
 
0.4%
46061 1
 
0.1%
ValueCountFrequency (%)
612853 1
 
0.1%
49524 4
0.5%
49520 1
 
0.1%
49518 2
 
0.3%
49514 1
 
0.1%
49509 6
0.8%
49503 1
 
0.1%
49493 1
 
0.1%
49482 1
 
0.1%
49475 1
 
0.1%

사업장명
Text

Distinct543
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-04-16T12:31:11.123773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length5.2103825
Min length2

Characters and Unicode

Total characters3814
Distinct characters300
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique434 ?
Unique (%)59.3%

Sample

1st row우리들약국
2nd row소나무약국
3rd row시장약국
4th row새명성약국
5th row보민약국
ValueCountFrequency (%)
약국 14
 
1.8%
미소약국 7
 
0.9%
조은약국 6
 
0.8%
동물약국 6
 
0.8%
미남정약국 5
 
0.6%
하나약국 5
 
0.6%
이화약국 5
 
0.6%
힘찬약국 5
 
0.6%
중앙약국 5
 
0.6%
비타민약국 5
 
0.6%
Other values (551) 713
91.9%
2024-04-16T12:31:11.501367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 723
 
19.0%
약 722
 
18.9%
동 107
 
2.8%
리 90
 
2.4%
물 59
 
1.5%
온 56
 
1.5%
누 48
 
1.3%
대 47
 
1.2%
44
 
1.2%
새 38
 
1.0%
Other values (290) 1880
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3742
98.1%
Space Separator 44
 
1.2%
Decimal Number 18
 
0.5%
Uppercase Letter 5
 
0.1%
Lowercase Letter 3
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 723
 
19.3%
약 722
 
19.3%
동 107
 
2.9%
리 90
 
2.4%
물 59
 
1.6%
온 56
 
1.5%
누 48
 
1.3%
대 47
 
1.3%
새 38
 
1.0%
신 38
 
1.0%
Other values (274) 1814
48.5%
Decimal Number
ValueCountFrequency (%)
2 7
38.9%
1 7
38.9%
4 2
 
11.1%
7 1
 
5.6%
3 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
O 1
20.0%
R 1
20.0%
T 1
20.0%
E 1
20.0%
M 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
i 1
33.3%
y 1
33.3%
b 1
33.3%
Space Separator
ValueCountFrequency (%)
44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3742
98.1%
Common 64
 
1.7%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 723
 
19.3%
약 722
 
19.3%
동 107
 
2.9%
리 90
 
2.4%
물 59
 
1.6%
온 56
 
1.5%
누 48
 
1.3%
대 47
 
1.3%
새 38
 
1.0%
신 38
 
1.0%
Other values (274) 1814
48.5%
Common
ValueCountFrequency (%)
44
68.8%
2 7
 
10.9%
1 7
 
10.9%
4 2
 
3.1%
7 1
 
1.6%
3 1
 
1.6%
) 1
 
1.6%
( 1
 
1.6%
Latin
ValueCountFrequency (%)
i 1
12.5%
y 1
12.5%
b 1
12.5%
O 1
12.5%
R 1
12.5%
T 1
12.5%
E 1
12.5%
M 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3742
98.1%
ASCII 72
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 723
 
19.3%
약 722
 
19.3%
동 107
 
2.9%
리 90
 
2.4%
물 59
 
1.6%
온 56
 
1.5%
누 48
 
1.3%
대 47
 
1.3%
새 38
 
1.0%
신 38
 
1.0%
Other values (274) 1814
48.5%
ASCII
ValueCountFrequency (%)
44
61.1%
2 7
 
9.7%
1 7
 
9.7%
4 2
 
2.8%
7 1
 
1.4%
3 1
 
1.4%
i 1
 
1.4%
) 1
 
1.4%
( 1
 
1.4%
y 1
 
1.4%
Other values (6) 6
 
8.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct732
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0165554 × 1013
Minimum2.0040309 × 1013
Maximum2.0210127 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-16T12:31:11.631064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040309 × 1013
5-th percentile2.0090912 × 1013
Q12.0150681 × 1013
median2.0175669 × 1013
Q32.0190749 × 1013
95-th percentile2.0201063 × 1013
Maximum2.0210127 × 1013
Range1.6981802 × 1011
Interquartile range (IQR)4.0067971 × 1010

Descriptive statistics

Standard deviation3.56719 × 1010
Coefficient of variation (CV)0.0017689522
Kurtosis2.1091369
Mean2.0165554 × 1013
Median Absolute Deviation (MAD)1.555649 × 1010
Skewness-1.4435387
Sum1.4761186 × 1016
Variance1.2724845 × 1021
MonotonicityNot monotonic
2024-04-16T12:31:11.756925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190702094630 1
 
0.1%
20201012171049 1
 
0.1%
20201023182118 1
 
0.1%
20181112150713 1
 
0.1%
20201215174520 1
 
0.1%
20210106170201 1
 
0.1%
20190530102937 1
 
0.1%
20190405094720 1
 
0.1%
20190819100236 1
 
0.1%
20191029155642 1
 
0.1%
Other values (722) 722
98.6%
ValueCountFrequency (%)
20040309154650 1
0.1%
20040416204523 1
0.1%
20040416210747 1
0.1%
20040416212333 1
0.1%
20040518182727 1
0.1%
20040519121238 1
0.1%
20040702152523 1
0.1%
20040709104541 1
0.1%
20041118134702 1
0.1%
20050727101610 1
0.1%
ValueCountFrequency (%)
20210127174540 1
0.1%
20210127141303 1
0.1%
20210121143107 1
0.1%
20210120201837 1
0.1%
20210118105834 1
0.1%
20210115110100 1
0.1%
20210114113136 1
0.1%
20210113113350 1
0.1%
20210112144647 1
0.1%
20210106170201 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
I
622 
U
110 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 622
85.0%
U 110
 
15.0%

Length

2024-04-16T12:31:11.878284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:11.963950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 622
85.0%
u 110
 
15.0%

데이터갱신일자
Date

Distinct254
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-29 00:23:13
2024-04-16T12:31:12.351888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T12:31:12.472284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing732
Missing (%)100.0%
Memory size6.6 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct548
Distinct (%)79.4%
Missing42
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean388746.97
Minimum366778.84
Maximum407507.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-16T12:31:12.602012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366778.84
5-th percentile379502.9
Q1384546.41
median389340.6
Q3392489.48
95-th percentile398468.58
Maximum407507.94
Range40729.102
Interquartile range (IQR)7943.0649

Descriptive statistics

Standard deviation6256.4146
Coefficient of variation (CV)0.016093797
Kurtosis0.32901942
Mean388746.97
Median Absolute Deviation (MAD)3855.5515
Skewness-0.19456639
Sum2.6823541 × 108
Variance39142724
MonotonicityNot monotonic
2024-04-16T12:31:12.736554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
388189.034202454 5
 
0.7%
380563.791847255 5
 
0.7%
389455.109101676 4
 
0.5%
392487.941949362 4
 
0.5%
379964.558892079 4
 
0.5%
394259.857138235 4
 
0.5%
395695.998702938 4
 
0.5%
392474.578116018 3
 
0.4%
401473.933606044 3
 
0.4%
389856.572362715 3
 
0.4%
Other values (538) 651
88.9%
(Missing) 42
 
5.7%
ValueCountFrequency (%)
366778.837130241 1
0.1%
367426.0 1
0.1%
367451.087635496 1
0.1%
371173.90939644 1
0.1%
371178.823833358 1
0.1%
371181.352545926 1
0.1%
373002.141594401 1
0.1%
373485.070719216 1
0.1%
373495.79454295 1
0.1%
373512.357679862 1
0.1%
ValueCountFrequency (%)
407507.938658253 1
0.1%
407504.0 1
0.1%
403905.399434747 1
0.1%
403886.845118499 1
0.1%
401806.197859686 1
0.1%
401775.159867601 2
0.3%
401732.849810365 1
0.1%
401726.572550971 1
0.1%
401726.343694891 2
0.3%
401680.755947973 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct548
Distinct (%)79.4%
Missing42
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean187656.93
Minimum174092.5
Maximum206047.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-16T12:31:12.861725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174092.5
5-th percentile177925.87
Q1183753.45
median187648.43
Q3191425.54
95-th percentile196628.96
Maximum206047.42
Range31954.918
Interquartile range (IQR)7672.0873

Descriptive statistics

Standard deviation6088.5926
Coefficient of variation (CV)0.032445338
Kurtosis0.51684653
Mean187656.93
Median Absolute Deviation (MAD)3789.5221
Skewness0.36887317
Sum1.2948328 × 108
Variance37070960
MonotonicityNot monotonic
2024-04-16T12:31:12.986749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191546.670279537 5
 
0.7%
187085.86512914 5
 
0.7%
191427.549247975 4
 
0.5%
186564.91998923 4
 
0.5%
182376.59129808 4
 
0.5%
187389.720344275 4
 
0.5%
186416.839176222 4
 
0.5%
183052.21115244 3
 
0.4%
190354.279831841 3
 
0.4%
190029.710668744 3
 
0.4%
Other values (538) 651
88.9%
(Missing) 42
 
5.7%
ValueCountFrequency (%)
174092.497564851 1
0.1%
174823.87811521 1
0.1%
174842.792502823 1
0.1%
174910.857552639 2
0.3%
174936.381448939 1
0.1%
174944.649786764 1
0.1%
174997.001682861 1
0.1%
175314.286676535 1
0.1%
175359.769070119 1
0.1%
175652.172546864 1
0.1%
ValueCountFrequency (%)
206047.415761754 2
0.3%
205729.0 1
0.1%
205722.852692375 1
0.1%
205127.154005579 2
0.3%
205105.529392307 1
0.1%
205067.972169 1
0.1%
204981.640802 1
0.1%
204968.917681 1
0.1%
204852.59433 1
0.1%
204802.042928644 2
0.3%

축산업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
동물약국
731 
<NA>
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
동물약국 731
99.9%
<NA> 1
 
0.1%

Length

2024-04-16T12:31:13.104130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:13.203945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물약국 731
99.9%
na 1
 
0.1%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing732
Missing (%)100.0%
Memory size6.6 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing732
Missing (%)100.0%
Memory size6.6 KiB

권리주체일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0
731 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0040984
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 731
99.9%
<NA> 1
 
0.1%

Length

2024-04-16T12:31:13.303124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:13.393762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 731
99.9%
na 1
 
0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing732
Missing (%)100.0%
Memory size6.6 KiB

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing732
Missing (%)100.0%
Memory size6.6 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
01동물약국02_03_02_P325000032500000112017000320170413<NA>3폐업2폐업20190701<NA><NA><NA>0512410075<NA><NA>부산광역시 중구 보수동1가 91-1번지부산광역시 중구 흑교로52번길 6-1 (보수동1가)48962우리들약국20190702094630U2019-07-04 02:40:00.0<NA>384602.31343180221.362367동물약국<NA><NA>0<NA><NA>
12동물약국02_03_02_P325000032500000112017000420170512<NA>3폐업2폐업20210115<NA><NA><NA>07041550858<NA><NA>부산광역시 중구 중앙동7가 20-1부산광역시 중구 중앙대로 2 (중앙동7가, 롯데마트광복점)48944소나무약국20210115110100U2021-01-17 02:40:00.0<NA>385590.814677179553.867032동물약국<NA><NA>0<NA><NA>
23동물약국02_03_02_P325000032500000112013000420130814<NA>3폐업2폐업20190809<NA><NA><NA>245-3155<NA><NA>부산광역시 중구 남포동5가 80-3번지부산광역시 중구 자갈치로47번길 1 (남포동5가)48983시장약국20190812101401U2019-08-14 02:40:00.0<NA>384975.826222179464.282841동물약국<NA><NA>0<NA><NA>
34동물약국02_03_02_P325000032500000112013000120130531<NA>3폐업2폐업20140718<NA><NA><NA>467-2270<NA><NA>부산광역시 중구 동광동5가 16-266번지부산광역시 중구 중구로 124-3 (동광동5가)48925새명성약국20140718171938I2018-08-31 23:59:59.0<NA>385288.421569180565.352727동물약국<NA><NA>0<NA><NA>
45동물약국02_03_02_P325000032500000112013000220130627<NA>3폐업2폐업20170531<NA><NA><NA>0516784226<NA><NA>부산광역시 중구 중앙동7가 20-1번지부산광역시 중구 중앙대로 2 (중앙동7가)48944보민약국20170531155046I2018-08-31 23:59:59.0<NA>385590.814677179553.867032동물약국<NA><NA>0<NA><NA>
56동물약국02_03_02_P325000032500000112013000520130819<NA>3폐업2폐업20170411<NA><NA><NA>241-0075<NA><NA>부산광역시 중구 보수동1가 91-1번지부산광역시 중구 흑교로52번길 6-1 (보수동1가)48962우리들약국20170412170034I2018-08-31 23:59:59.0<NA>384602.31343180221.362367동물약국<NA><NA>0<NA><NA>
67동물약국02_03_02_P325000032500000112014000120140722<NA>3폐업2폐업20160314<NA><NA><NA>467-2270<NA><NA>부산광역시 중구 동광동5가 16-267번지부산광역시 중구 중구로 124-3 (동광동5가)48925새명성약국20160315140831I2018-08-31 23:59:59.0<NA>385286.001691180562.679911동물약국<NA><NA>0<NA><NA>
78동물약국02_03_02_P325000032500000112015000120150826<NA>3폐업2폐업20151231<NA><NA><NA>051-241-3490<NA><NA><NA>부산광역시 중구 흑교로 53 (보수동2가)48963행복약국20151231094715I2018-08-31 23:59:59.0<NA>384535.453553180215.945735동물약국<NA><NA>0<NA><NA>
89동물약국02_03_02_P330000033000000112019000120190108<NA>3폐업2폐업20191024<NA><NA><NA><NA><NA><NA>부산광역시 동래구 안락동 733-5번지부산광역시 동래구 안연로 88, 1층 (안락동)47894안락고려약국20191024164032U2019-10-26 02:40:00.0<NA>391014.55435190464.805365동물약국<NA><NA>0<NA><NA>
910동물약국02_03_02_P330000033000000112015000220150520<NA>3폐업2폐업20160801<NA><NA><NA><NA><NA><NA>부산광역시 동래구 온천동 1248-4번지부산광역시 동래구 아시아드대로 239-1 (온천동)47851미남정약국20160804172705I2018-08-31 23:59:59.0<NA>388189.034202191546.67028동물약국<NA><NA>0<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
722723동물약국02_03_02_P333000033300000112018001420180903<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1434-1번지 마리나센타부산광역시 해운대구 해운대해변로 154, 마리나센타 1층 (우동)48092마리나약국20180903140338U2018-09-03 23:59:59.0<NA>395695.998703186416.839176동물약국<NA><NA>0<NA><NA>
723724동물약국02_03_02_P333000033300000112020000220200407<NA>1영업/정상0정상<NA><NA><NA><NA>0517841933<NA><NA>부산광역시 해운대구 반여동 1609-1번지 1층부산광역시 해운대구 재반로 253-1, 문훈치과 1층 (반여동)48024지리산약국20200407103438I2020-04-09 00:23:32.0<NA>394029.293133191052.246836동물약국<NA><NA>0<NA><NA>
724725동물약국02_03_02_P333000033300000112020000320200423<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 반여동 1291-538번지 박영내과부산광역시 해운대구 재반로 221-1, 박영내과 1층 (반여동)48028하늘온누리약국20200423165341I2020-04-25 00:23:33.0<NA>393992.381059190734.471589동물약국<NA><NA>0<NA><NA>
725726동물약국02_03_02_P333000033300000112020000420200512<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1438번지 대우2차아파트 제상가동 106호부산광역시 해운대구 좌동순환로 275, 제상가동 106호 (좌동, 대우2차아파트)48109좌동동물약국20200512115421I2020-05-14 00:23:19.0<NA>398866.445015188038.176406동물약국<NA><NA>0<NA><NA>
726727동물약국02_03_02_P333000033300000112020000520200527<NA>1영업/정상0정상<NA><NA><NA><NA>051-784-4806<NA><NA>부산광역시 해운대구 재송동 1118-37번지 럭키약국부산광역시 해운대구 재반로 80-1, 럭키약국 1층 (재송동)48053럭키약국20200527114112I2020-05-29 00:23:19.0<NA>393572.486136189471.543356동물약국<NA><NA>0<NA><NA>
727728동물약국02_03_02_P333000033300000112020000820200825<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 좌동 1314-2 화목데파트부산광역시 해운대구 세실로 64, 303호 (좌동, 화목데파트)48107장산3층약국20200825191932I2020-08-27 00:23:13.0<NA>398320.764293187928.258298동물약국<NA><NA>0<NA><NA>
728729동물약국02_03_02_P333000033300000112020000620200722<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>부산광역시 해운대구 중동 1382-12부산광역시 해운대구 구남로29번길 9 (중동)48095더좋은약사와약국20200722161123I2020-07-24 00:23:15.0<NA>396844.190625186885.106295동물약국<NA><NA>0<NA><NA>
729730동물약국02_03_02_P333000033300000112020000920200831<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 우동 1406-2 해운대홈플러스부산광역시 해운대구 해운대해변로 140, 해운대홈플러스 지하 1층 (우동)48092정 온누리약국20200831093443I2020-09-02 00:23:13.0<NA>395506.531176186442.190387동물약국<NA><NA>0<NA><NA>
730731동물약국02_03_02_P333000033300000112020000720200728<NA>1영업/정상0정상<NA><NA><NA><NA>051-701-98970.0<NA>부산광역시 해운대구 좌동 1310 해운대화목타운부산광역시 해운대구 대천로 187, 화목아파트상가 101호 (좌동, 해운대화목타운)48107신원약국20200826155804U2020-08-28 02:40:00.0<NA>398431.390184188030.860145동물약국<NA><NA>0<NA><NA>
731732동물약국02_03_02_P333000033300000112020001020201013<NA>1영업/정상0정상<NA><NA><NA><NA>051-525-2420<NA><NA>부산광역시 해운대구 반여동 1190-1 우방신세계아파트부산광역시 해운대구 삼어로 61, 105호 (반여동, 우방신세계아파트)48046효은약국20201013181052I2020-10-15 00:23:10.0<NA>392600.099901191419.517488동물약국<NA><NA>0<NA><NA>