Overview

Dataset statistics

Number of variables34
Number of observations721
Missing cells6527
Missing cells (%)26.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory207.8 KiB
Average record size in memory295.2 B

Variable types

Numeric10
Categorical12
Unsupported7
Text4
DateTime1

Dataset

Description2021-02-01
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 721 (100.0%) missing valuesMissing
폐업일자 has 513 (71.2%) missing valuesMissing
소재지전화 has 178 (24.7%) missing valuesMissing
소재지면적 has 490 (68.0%) missing valuesMissing
소재지우편번호 has 721 (100.0%) missing valuesMissing
소재지전체주소 has 93 (12.9%) missing valuesMissing
도로명전체주소 has 48 (6.7%) missing valuesMissing
도로명우편번호 has 74 (10.3%) missing valuesMissing
업태구분명 has 721 (100.0%) missing valuesMissing
좌표정보(x) has 42 (5.8%) missing valuesMissing
좌표정보(y) has 42 (5.8%) missing valuesMissing
축산물가공업구분명 has 721 (100.0%) missing valuesMissing
축산일련번호 has 721 (100.0%) missing valuesMissing
총종업원수 has 721 (100.0%) missing valuesMissing
Unnamed: 33 has 721 (100.0%) missing valuesMissing
도로명우편번호 is highly skewed (γ1 = 25.36627366)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 (18.2%) zerosZeros

Reproduction

Analysis started2024-04-16 03:31:14.710093
Analysis finished2024-04-16 03:31:15.403095
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct721
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean361
Minimum1
Maximum721
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-16T12:31:15.462367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile37
Q1181
median361
Q3541
95-th percentile685
Maximum721
Range720
Interquartile range (IQR)360

Descriptive statistics

Standard deviation208.27906
Coefficient of variation (CV)0.5769503
Kurtosis-1.2
Mean361
Median Absolute Deviation (MAD)180
Skewness0
Sum260281
Variance43380.167
MonotonicityStrictly increasing
2024-04-16T12:31:15.584372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
475 1
 
0.1%
477 1
 
0.1%
478 1
 
0.1%
479 1
 
0.1%
480 1
 
0.1%
481 1
 
0.1%
482 1
 
0.1%
483 1
 
0.1%
484 1
 
0.1%
Other values (711) 711
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 (%)
721 1
0.1%
720 1
0.1%
719 1
0.1%
718 1
0.1%
717 1
0.1%
716 1
0.1%
715 1
0.1%
714 1
0.1%
713 1
0.1%
712 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
동물약국
721 

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 721
100.0%

Length

2024-04-16T12:31:15.707763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:15.791672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물약국 721
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
02_03_02_P
721 

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 721
100.0%

Length

2024-04-16T12:31:15.879717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:15.960476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_02_p 721
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3328349.5
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-16T12:31:16.034646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13300000
median3330000
Q33350000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation38746.611
Coefficient of variation (CV)0.011641389
Kurtosis-0.6839193
Mean3328349.5
Median Absolute Deviation (MAD)30000
Skewness0.11072168
Sum2.39974 × 109
Variance1.5012999 × 109
MonotonicityNot monotonic
2024-04-16T12:31:16.139163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 113
15.7%
3300000 95
13.2%
3290000 73
10.1%
3340000 61
8.5%
3320000 45
 
6.2%
3370000 44
 
6.1%
3310000 44
 
6.1%
3400000 41
 
5.7%
3380000 40
 
5.5%
3350000 39
 
5.4%
Other values (6) 126
17.5%
ValueCountFrequency (%)
3250000 24
 
3.3%
3260000 15
 
2.1%
3270000 18
 
2.5%
3280000 14
 
1.9%
3290000 73
10.1%
3300000 95
13.2%
3310000 44
 
6.1%
3320000 45
 
6.2%
3330000 113
15.7%
3340000 61
8.5%
ValueCountFrequency (%)
3400000 41
 
5.7%
3390000 33
 
4.6%
3380000 40
 
5.5%
3370000 44
 
6.1%
3360000 22
 
3.1%
3350000 39
 
5.4%
3340000 61
8.5%
3330000 113
15.7%
3320000 45
 
6.2%
3310000 44
 
6.1%

관리번호
Real number (ℝ)

UNIQUE 

Distinct721
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3283495 × 1017
Minimum3.25 × 1017
Maximum3.4 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-16T12:31:16.266800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.25 × 1017
5-th percentile3.26 × 1017
Q13.3 × 1017
median3.33 × 1017
Q33.35 × 1017
95-th percentile3.4 × 1017
Maximum3.4 × 1017
Range1.5 × 1016
Interquartile range (IQR)5 × 1015

Descriptive statistics

Standard deviation3.8746611 × 1015
Coefficient of variation (CV)0.011641389
Kurtosis-0.6839193
Mean3.3283495 × 1017
Median Absolute Deviation (MAD)3 × 1015
Skewness0.11072168
Sum1.6632785 × 1017
Variance1.5012999 × 1031
MonotonicityNot monotonic
2024-04-16T12:31:16.394571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
325000001120170003 1
 
0.1%
335000001120170003 1
 
0.1%
335000001120200003 1
 
0.1%
335000001120200002 1
 
0.1%
335000001120200004 1
 
0.1%
335000001120200005 1
 
0.1%
335000001120200006 1
 
0.1%
335000001120180004 1
 
0.1%
335000001120200007 1
 
0.1%
336000001120190003 1
 
0.1%
Other values (711) 711
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 (%)
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%
340000001120190005 1
0.1%
340000001120190004 1
0.1%

인허가일자
Real number (ℝ)

Distinct574
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20151026
Minimum19950614
Maximum20201228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-16T12:31:16.523682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950614
5-th percentile20040617
Q120130809
median20170101
Q320181227
95-th percentile20200804
Maximum20201228
Range250614
Interquartile range (IQR)50418

Descriptive statistics

Standard deviation47713.338
Coefficient of variation (CV)0.002367787
Kurtosis1.0650833
Mean20151026
Median Absolute Deviation (MAD)28899
Skewness-1.30764
Sum1.452889 × 1010
Variance2.2765626 × 109
MonotonicityNot monotonic
2024-04-16T12:31:16.649035image/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%
20180906 4
 
0.6%
20130711 4
 
0.6%
20131014 4
 
0.6%
20181119 4
 
0.6%
20130820 4
 
0.6%
20131010 3
 
0.4%
20181022 3
 
0.4%
Other values (564) 677
93.9%
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 (%)
20201228 2
0.3%
20201215 2
0.3%
20201214 1
0.1%
20201209 1
0.1%
20201204 1
0.1%
20201126 1
0.1%
20201123 2
0.3%
20201112 1
0.1%
20201111 1
0.1%
20201106 2
0.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing721
Missing (%)100.0%
Memory size6.5 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
1
509 
3
211 
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 (%)
1 509
70.6%
3 211
29.3%
2 1
 
0.1%

Length

2024-04-16T12:31:16.759896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:16.848536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 509
70.6%
3 211
29.3%
2 1
 
0.1%

영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
영업/정상
509 
폐업
211 
휴업
 
1

Length

Max length5
Median length5
Mean length4.1178918
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 509
70.6%
폐업 211
29.3%
휴업 1
 
0.1%

Length

2024-04-16T12:31:16.944046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:17.034750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 509
70.6%
폐업 211
29.3%
휴업 1
 
0.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0
509 
2
211 
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 (%)
0 509
70.6%
2 211
29.3%
1 1
 
0.1%

Length

2024-04-16T12:31:17.127756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:17.212067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 509
70.6%
2 211
29.3%
1 1
 
0.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
정상
509 
폐업
211 
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 509
70.6%
폐업 211
29.3%
휴업 1
 
0.1%

Length

2024-04-16T12:31:17.307790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:17.394253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 509
70.6%
폐업 211
29.3%
휴업 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct196
Distinct (%)94.2%
Missing513
Missing (%)71.2%
Infinite0
Infinite (%)0.0%
Mean20156683
Minimum20050727
Maximum20201230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-16T12:31:17.498681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050727
5-th percentile20060807
Q120140968
median20170365
Q320190308
95-th percentile20200620
Maximum20201230
Range150503
Interquartile range (IQR)49340.75

Descriptive statistics

Standard deviation41468.205
Coefficient of variation (CV)0.0020572931
Kurtosis0.46740362
Mean20156683
Median Absolute Deviation (MAD)20101.5
Skewness-1.2022805
Sum4.19259 × 109
Variance1.719612 × 109
MonotonicityNot monotonic
2024-04-16T12:31:17.649171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140825 3
 
0.4%
20200227 2
 
0.3%
20160404 2
 
0.3%
20050727 2
 
0.3%
20151208 2
 
0.3%
20160711 2
 
0.3%
20161010 2
 
0.3%
20180402 2
 
0.3%
20200306 2
 
0.3%
20170531 2
 
0.3%
Other values (186) 187
 
25.9%
(Missing) 513
71.2%
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 (%)
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%
20200701 1
0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
<NA>
719 
20190715
 
1
20191231
 
1

Length

Max length8
Median length4
Mean length4.0110957
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> 719
99.7%
20190715 1
 
0.1%
20191231 1
 
0.1%

Length

2024-04-16T12:31:17.775446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:18.092978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 719
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>
719 
20201231
 
1
20200228
 
1

Length

Max length8
Median length4
Mean length4.0110957
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> 719
99.7%
20201231 1
 
0.1%
20200228 1
 
0.1%

Length

2024-04-16T12:31:18.186733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:18.294324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 719
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>
720 
20200206
 
1

Length

Max length8
Median length4
Mean length4.0055479
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> 720
99.9%
20200206 1
 
0.1%

Length

2024-04-16T12:31:18.397934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:18.497051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 720
99.9%
20200206 1
 
0.1%

소재지전화
Text

MISSING 

Distinct509
Distinct (%)93.7%
Missing178
Missing (%)24.7%
Memory size5.8 KiB
2024-04-16T12:31:18.703959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.589319
Min length4

Characters and Unicode

Total characters5750
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

Unique477 ?
Unique (%)87.8%

Sample

1st row0512410075
2nd row245-3155
3rd row467-2270
4th row0516784226
5th row241-0075
ValueCountFrequency (%)
051-861-4722 3
 
0.6%
557-5713 3
 
0.6%
051-621-8383 2
 
0.4%
051-746-0965 2
 
0.4%
704-4566 2
 
0.4%
207-8225 2
 
0.4%
051-508-7228 2
 
0.4%
621-8383 2
 
0.4%
051-971-9552 2
 
0.4%
051-637-8113 2
 
0.4%
Other values (501) 523
96.0%
2024-04-16T12:31:19.050952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 848
14.7%
0 787
13.7%
- 778
13.5%
1 748
13.0%
2 491
8.5%
7 461
8.0%
6 375
6.5%
8 368
6.4%
3 359
6.2%
4 316
 
5.5%
Other values (3) 219
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4963
86.3%
Dash Punctuation 778
 
13.5%
Close Punctuation 7
 
0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 848
17.1%
0 787
15.9%
1 748
15.1%
2 491
9.9%
7 461
9.3%
6 375
7.6%
8 368
7.4%
3 359
7.2%
4 316
 
6.4%
9 210
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 778
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5750
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 848
14.7%
0 787
13.7%
- 778
13.5%
1 748
13.0%
2 491
8.5%
7 461
8.0%
6 375
6.5%
8 368
6.4%
3 359
6.2%
4 316
 
5.5%
Other values (3) 219
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 848
14.7%
0 787
13.7%
- 778
13.5%
1 748
13.0%
2 491
8.5%
7 461
8.0%
6 375
6.5%
8 368
6.4%
3 359
6.2%
4 316
 
5.5%
Other values (3) 219
 
3.8%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct81
Distinct (%)35.1%
Missing490
Missing (%)68.0%
Infinite0
Infinite (%)0.0%
Mean98.508268
Minimum0
Maximum5577.83
Zeros131
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-16T12:31:19.178411image/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
2024-04-16T12:31:19.321668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 131
 
18.2%
50.0 4
 
0.6%
48.0 4
 
0.6%
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
 
10.4%
(Missing) 490
68.0%
ValueCountFrequency (%)
0.0 131
18.2%
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 

Missing721
Missing (%)100.0%
Memory size6.5 KiB

소재지전체주소
Text

MISSING 

Distinct563
Distinct (%)89.6%
Missing93
Missing (%)12.9%
Memory size5.8 KiB
2024-04-16T12:31:19.577936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length23.681529
Min length12

Characters and Unicode

Total characters14872
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

Unique509 ?
Unique (%)81.1%

Sample

1st row부산광역시 중구 보수동1가 91-1번지
2nd row부산광역시 중구 남포동5가 80-3번지
3rd row부산광역시 중구 동광동5가 16-266번지
4th row부산광역시 중구 중앙동7가 20-1번지
5th row부산광역시 중구 보수동1가 91-1번지
ValueCountFrequency (%)
부산광역시 628
 
22.2%
해운대구 92
 
3.2%
동래구 88
 
3.1%
사하구 59
 
2.1%
부산진구 52
 
1.8%
기장군 41
 
1.4%
연제구 40
 
1.4%
북구 38
 
1.3%
금정구 37
 
1.3%
남구 36
 
1.3%
Other values (825) 1722
60.8%
2024-04-16T12:31:19.957731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2256
 
15.2%
동 736
 
4.9%
부 730
 
4.9%
산 729
 
4.9%
광 647
 
4.4%
시 644
 
4.3%
1 638
 
4.3%
역 631
 
4.2%
구 604
 
4.1%
지 585
 
3.9%
Other values (260) 6672
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9134
61.4%
Decimal Number 2909
 
19.6%
Space Separator 2256
 
15.2%
Dash Punctuation 541
 
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 736
 
8.1%
부 730
 
8.0%
산 729
 
8.0%
광 647
 
7.1%
시 644
 
7.1%
역 631
 
6.9%
구 604
 
6.6%
지 585
 
6.4%
번 553
 
6.1%
대 156
 
1.7%
Other values (225) 3119
34.1%
Uppercase Letter
ValueCountFrequency (%)
S 3
17.6%
K 3
17.6%
B 2
11.8%
H 2
11.8%
U 1
 
5.9%
M 1
 
5.9%
L 1
 
5.9%
A 1
 
5.9%
Y 1
 
5.9%
D 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 638
21.9%
2 388
13.3%
3 323
11.1%
4 281
9.7%
7 234
 
8.0%
0 231
 
7.9%
5 228
 
7.8%
6 221
 
7.6%
8 208
 
7.2%
9 157
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
a 1
14.3%
r 1
14.3%
u 1
14.3%
s 1
14.3%
q 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 2
40.0%
@ 1
20.0%
？ 1
20.0%
· 1
20.0%
Space Separator
ValueCountFrequency (%)
2256
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 541
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9134
61.4%
Common 5712
38.4%
Latin 26
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 736
 
8.1%
부 730
 
8.0%
산 729
 
8.0%
광 647
 
7.1%
시 644
 
7.1%
역 631
 
6.9%
구 604
 
6.6%
지 585
 
6.4%
번 553
 
6.1%
대 156
 
1.7%
Other values (225) 3119
34.1%
Latin
ValueCountFrequency (%)
S 3
 
11.5%
K 3
 
11.5%
B 2
 
7.7%
H 2
 
7.7%
e 2
 
7.7%
Ⅱ 2
 
7.7%
a 1
 
3.8%
r 1
 
3.8%
u 1
 
3.8%
U 1
 
3.8%
Other values (8) 8
30.8%
Common
ValueCountFrequency (%)
2256
39.5%
1 638
 
11.2%
- 541
 
9.5%
2 388
 
6.8%
3 323
 
5.7%
4 281
 
4.9%
7 234
 
4.1%
0 231
 
4.0%
5 228
 
4.0%
6 221
 
3.9%
Other values (7) 371
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9134
61.4%
ASCII 5734
38.6%
Number Forms 2
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2256
39.3%
1 638
 
11.1%
- 541
 
9.4%
2 388
 
6.8%
3 323
 
5.6%
4 281
 
4.9%
7 234
 
4.1%
0 231
 
4.0%
5 228
 
4.0%
6 221
 
3.9%
Other values (22) 393
 
6.9%
Hangul
ValueCountFrequency (%)
동 736
 
8.1%
부 730
 
8.0%
산 729
 
8.0%
광 647
 
7.1%
시 644
 
7.1%
역 631
 
6.9%
구 604
 
6.6%
지 585
 
6.4%
번 553
 
6.1%
대 156
 
1.7%
Other values (225) 3119
34.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
None
ValueCountFrequency (%)
？ 1
50.0%
· 1
50.0%

도로명전체주소
Text

MISSING 

Distinct613
Distinct (%)91.1%
Missing48
Missing (%)6.7%
Memory size5.8 KiB
2024-04-16T12:31:20.292495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length49
Mean length29.216939
Min length20

Characters and Unicode

Total characters19663
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

Unique565 ?
Unique (%)84.0%

Sample

1st row부산광역시 중구 흑교로52번길 6-1 (보수동1가)
2nd row부산광역시 중구 자갈치로47번길 1 (남포동5가)
3rd row부산광역시 중구 중구로 124-3 (동광동5가)
4th row부산광역시 중구 중앙대로 2 (중앙동7가)
5th row부산광역시 중구 흑교로52번길 6-1 (보수동1가)
ValueCountFrequency (%)
부산광역시 673
 
17.0%
1층 122
 
3.1%
해운대구 108
 
2.7%
동래구 79
 
2.0%
부산진구 73
 
1.8%
사하구 52
 
1.3%
남구 42
 
1.1%
연제구 42
 
1.1%
기장군 40
 
1.0%
북구 40
 
1.0%
Other values (999) 2693
67.9%
2024-04-16T12:31:20.785188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3291
 
16.7%
동 878
 
4.5%
부 813
 
4.1%
산 811
 
4.1%
1 748
 
3.8%
시 724
 
3.7%
광 713
 
3.6%
역 677
 
3.4%
로 669
 
3.4%
구 669
 
3.4%
Other values (322) 9670
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11856
60.3%
Space Separator 3291
 
16.7%
Decimal Number 2715
 
13.8%
Open Punctuation 637
 
3.2%
Close Punctuation 637
 
3.2%
Other Punctuation 400
 
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 878
 
7.4%
부 813
 
6.9%
산 811
 
6.8%
시 724
 
6.1%
광 713
 
6.0%
역 677
 
5.7%
로 669
 
5.6%
구 669
 
5.6%
대 370
 
3.1%
호 187
 
1.6%
Other values (286) 5345
45.1%
Uppercase Letter
ValueCountFrequency (%)
B 5
17.9%
S 5
17.9%
A 4
14.3%
K 4
14.3%
D 2
 
7.1%
H 2
 
7.1%
M 1
 
3.6%
Y 1
 
3.6%
U 1
 
3.6%
V 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 748
27.6%
2 389
14.3%
0 272
 
10.0%
3 265
 
9.8%
5 232
 
8.5%
4 201
 
7.4%
6 170
 
6.3%
7 161
 
5.9%
8 145
 
5.3%
9 132
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
r 1
14.3%
a 1
14.3%
u 1
14.3%
s 1
14.3%
q 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 398
99.5%
· 2
 
0.5%
Space Separator
ValueCountFrequency (%)
3291
100.0%
Open Punctuation
ValueCountFrequency (%)
( 637
100.0%
Close Punctuation
ValueCountFrequency (%)
) 637
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 11856
60.3%
Common 7770
39.5%
Latin 37
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 878
 
7.4%
부 813
 
6.9%
산 811
 
6.8%
시 724
 
6.1%
광 713
 
6.0%
역 677
 
5.7%
로 669
 
5.6%
구 669
 
5.6%
대 370
 
3.1%
호 187
 
1.6%
Other values (286) 5345
45.1%
Latin
ValueCountFrequency (%)
B 5
13.5%
S 5
13.5%
A 4
10.8%
K 4
10.8%
e 2
 
5.4%
D 2
 
5.4%
Ⅱ 2
 
5.4%
H 2
 
5.4%
r 1
 
2.7%
a 1
 
2.7%
Other values (9) 9
24.3%
Common
ValueCountFrequency (%)
3291
42.4%
1 748
 
9.6%
( 637
 
8.2%
) 637
 
8.2%
, 398
 
5.1%
2 389
 
5.0%
0 272
 
3.5%
3 265
 
3.4%
5 232
 
3.0%
4 201
 
2.6%
Other values (7) 700
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11856
60.3%
ASCII 7803
39.7%
None 2
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3291
42.2%
1 748
 
9.6%
( 637
 
8.2%
) 637
 
8.2%
, 398
 
5.1%
2 389
 
5.0%
0 272
 
3.5%
3 265
 
3.4%
5 232
 
3.0%
4 201
 
2.6%
Other values (24) 733
 
9.4%
Hangul
ValueCountFrequency (%)
동 878
 
7.4%
부 813
 
6.9%
산 811
 
6.8%
시 724
 
6.1%
광 713
 
6.0%
역 677
 
5.7%
로 669
 
5.6%
구 669
 
5.6%
대 370
 
3.1%
호 187
 
1.6%
Other values (286) 5345
45.1%
None
ValueCountFrequency (%)
· 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct364
Distinct (%)56.3%
Missing74
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean48615.405
Minimum46008
Maximum612853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-16T12:31:20.917074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46008
5-th percentile46066
Q147043
median47851
Q348304
95-th percentile49393.9
Maximum612853
Range566845
Interquartile range (IQR)1261

Descriptive statistics

Standard deviation22237.137
Coefficient of variation (CV)0.45740928
Kurtosis644.62619
Mean48615.405
Median Absolute Deviation (MAD)648
Skewness25.366274
Sum31454167
Variance4.9449027 × 108
MonotonicityNot monotonic
2024-04-16T12:31:21.039180image/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%
48095 7
 
1.0%
47286 7
 
1.0%
49509 6
 
0.8%
46066 6
 
0.8%
48060 6
 
0.8%
48092 6
 
0.8%
47257 6
 
0.8%
Other values (354) 576
79.9%
(Missing) 74
 
10.3%
ValueCountFrequency (%)
46008 2
 
0.3%
46015 9
1.2%
46017 4
0.6%
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
0.6%
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

Distinct539
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-04-16T12:31:21.282524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length5.2135922
Min length2

Characters and Unicode

Total characters3759
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 (%)60.2%

Sample

1st row우리들약국
2nd row시장약국
3rd row새명성약국
4th row보민약국
5th row우리들약국
ValueCountFrequency (%)
약국 13
 
1.7%
미소약국 7
 
0.9%
조은약국 6
 
0.8%
동물약국 6
 
0.8%
중앙약국 5
 
0.7%
비타민약국 5
 
0.7%
힘찬약국 5
 
0.7%
미남정약국 5
 
0.7%
이화약국 5
 
0.7%
하나약국 5
 
0.7%
Other values (547) 702
91.9%
2024-04-16T12:31:21.662491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 712
 
18.9%
약 711
 
18.9%
동 105
 
2.8%
리 90
 
2.4%
물 58
 
1.5%
온 56
 
1.5%
누 48
 
1.3%
대 47
 
1.3%
43
 
1.1%
신 38
 
1.0%
Other values (290) 1851
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3688
98.1%
Space Separator 43
 
1.1%
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 712
 
19.3%
약 711
 
19.3%
동 105
 
2.8%
리 90
 
2.4%
물 58
 
1.6%
온 56
 
1.5%
누 48
 
1.3%
대 47
 
1.3%
신 38
 
1.0%
사 37
 
1.0%
Other values (274) 1786
48.4%
Decimal Number
ValueCountFrequency (%)
1 7
38.9%
2 7
38.9%
4 2
 
11.1%
7 1
 
5.6%
3 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
M 1
20.0%
R 1
20.0%
T 1
20.0%
E 1
20.0%
O 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
i 1
33.3%
y 1
33.3%
b 1
33.3%
Space Separator
ValueCountFrequency (%)
43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3688
98.1%
Common 63
 
1.7%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 712
 
19.3%
약 711
 
19.3%
동 105
 
2.8%
리 90
 
2.4%
물 58
 
1.6%
온 56
 
1.5%
누 48
 
1.3%
대 47
 
1.3%
신 38
 
1.0%
사 37
 
1.0%
Other values (274) 1786
48.4%
Common
ValueCountFrequency (%)
43
68.3%
1 7
 
11.1%
2 7
 
11.1%
4 2
 
3.2%
7 1
 
1.6%
3 1
 
1.6%
) 1
 
1.6%
( 1
 
1.6%
Latin
ValueCountFrequency (%)
M 1
12.5%
R 1
12.5%
T 1
12.5%
E 1
12.5%
O 1
12.5%
i 1
12.5%
y 1
12.5%
b 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3688
98.1%
ASCII 71
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 712
 
19.3%
약 711
 
19.3%
동 105
 
2.8%
리 90
 
2.4%
물 58
 
1.6%
온 56
 
1.5%
누 48
 
1.3%
대 47
 
1.3%
신 38
 
1.0%
사 37
 
1.0%
Other values (274) 1786
48.4%
ASCII
ValueCountFrequency (%)
43
60.6%
1 7
 
9.9%
2 7
 
9.9%
4 2
 
2.8%
M 1
 
1.4%
7 1
 
1.4%
R 1
 
1.4%
T 1
 
1.4%
E 1
 
1.4%
O 1
 
1.4%
Other values (6) 6
 
8.5%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct721
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0164819 × 1013
Minimum2.0040309 × 1013
Maximum2.020123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-16T12:31:21.808326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040309 × 1013
5-th percentile2.0090909 × 1013
Q12.015052 × 1013
median2.0171207 × 1013
Q32.0190627 × 1013
95-th percentile2.0200924 × 1013
Maximum2.020123 × 1013
Range1.6092103 × 1011
Interquartile range (IQR)4.0106941 × 1010

Descriptive statistics

Standard deviation3.5472852 × 1010
Coefficient of variation (CV)0.0017591456
Kurtosis2.1393562
Mean2.0164819 × 1013
Median Absolute Deviation (MAD)1.9976078 × 1010
Skewness-1.4612695
Sum1.4538835 × 1016
Variance1.2583232 × 1021
MonotonicityNot monotonic
2024-04-16T12:31:21.946528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190702094630 1
 
0.1%
20170414100142 1
 
0.1%
20200819174303 1
 
0.1%
20200629165618 1
 
0.1%
20201012171049 1
 
0.1%
20201012172533 1
 
0.1%
20201023182118 1
 
0.1%
20181112150713 1
 
0.1%
20201215174520 1
 
0.1%
20190530102937 1
 
0.1%
Other values (711) 711
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 (%)
20201230182534 1
0.1%
20201228133222 1
0.1%
20201228131731 1
0.1%
20201215174520 1
0.1%
20201215065051 1
0.1%
20201214130704 1
0.1%
20201214092416 1
0.1%
20201209180230 1
0.1%
20201204150255 1
0.1%
20201201125920 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
I
612 
U
109 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 612
84.9%
U 109
 
15.1%

Length

2024-04-16T12:31:22.085747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:22.176893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 612
84.9%
u 109
 
15.1%

데이터갱신일자
Date

Distinct244
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-01 02:40:00
2024-04-16T12:31:22.279037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T12:31:22.411182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing721
Missing (%)100.0%
Memory size6.5 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct541
Distinct (%)79.7%
Missing42
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean388742.18
Minimum366778.84
Maximum407507.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-16T12:31:22.540377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366778.84
5-th percentile379500.08
Q1384557.37
median389358.22
Q3392490.98
95-th percentile398426.13
Maximum407507.94
Range40729.102
Interquartile range (IQR)7933.6102

Descriptive statistics

Standard deviation6249.4064
Coefficient of variation (CV)0.016075967
Kurtosis0.3383033
Mean388742.18
Median Absolute Deviation (MAD)3805.4881
Skewness-0.21583664
Sum2.6395594 × 108
Variance39055080
MonotonicityNot monotonic
2024-04-16T12:31:22.670097image/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
 
0.6%
395695.998702938 4
 
0.6%
394259.857138235 4
 
0.6%
379964.558892079 4
 
0.6%
392487.941949362 4
 
0.6%
397942.700663843 3
 
0.4%
391981.073199667 3
 
0.4%
392474.578116018 3
 
0.4%
Other values (531) 640
88.8%
(Missing) 42
 
5.8%
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%
401726.343694891 2
0.3%
401680.755947973 1
0.1%
401678.104349687 1
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct541
Distinct (%)79.7%
Missing42
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean187617.85
Minimum174092.5
Maximum206047.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-16T12:31:22.800729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174092.5
5-th percentile177911.2
Q1183746.44
median187578.8
Q3191416.56
95-th percentile196567.68
Maximum206047.42
Range31954.918
Interquartile range (IQR)7670.126

Descriptive statistics

Standard deviation6095.012
Coefficient of variation (CV)0.032486311
Kurtosis0.53953277
Mean187617.85
Median Absolute Deviation (MAD)3833.346
Skewness0.38114219
Sum1.2739252 × 108
Variance37149172
MonotonicityNot monotonic
2024-04-16T12:31:22.942463image/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
 
0.6%
186416.839176222 4
 
0.6%
187389.720344275 4
 
0.6%
182376.59129808 4
 
0.6%
186564.91998923 4
 
0.6%
204428.576197141 3
 
0.4%
184458.231736086 3
 
0.4%
183052.21115244 3
 
0.4%
Other values (531) 640
88.8%
(Missing) 42
 
5.8%
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
720 
<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 720
99.9%
<NA> 1
 
0.1%

Length

2024-04-16T12:31:23.096142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:23.210442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물약국 720
99.9%
na 1
 
0.1%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing721
Missing (%)100.0%
Memory size6.5 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing721
Missing (%)100.0%
Memory size6.5 KiB

권리주체일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
0
720 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0041609
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 720
99.9%
<NA> 1
 
0.1%

Length

2024-04-16T12:31:23.307386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:31:23.398592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 720
99.9%
na 1
 
0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing721
Missing (%)100.0%
Memory size6.5 KiB

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing721
Missing (%)100.0%
Memory size6.5 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_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>
23동물약국02_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>
34동물약국02_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>
45동물약국02_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>
56동물약국02_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>
67동물약국02_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>
78동물약국02_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>
89동물약국02_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>
910동물약국02_03_02_P330000033000000112015000320150526<NA>3폐업2폐업20160801<NA><NA><NA><NA>0.0<NA>부산광역시 동래구 온천동 1248-4번지부산광역시 동래구 아시아드대로 239-1 (온천동)47851미남정약국20160804173343I2018-08-31 23:59:59.0<NA>388189.034202191546.67028동물약국<NA><NA>0<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
711712동물약국02_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>
712713동물약국02_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>
713714동물약국02_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>
714715동물약국02_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>
715716동물약국02_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>
716717동물약국02_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>
717718동물약국02_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>
718719동물약국02_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>
719720동물약국02_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>
720721동물약국02_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>