Overview

Dataset statistics

Number of variables34
Number of observations35
Missing cells382
Missing cells (%)32.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.2 KiB
Average record size in memory297.8 B

Variable types

Numeric9
Categorical10
Unsupported10
Text4
DateTime1

Dataset

Description2021-01-04
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123016

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
축산업무구분명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (57.8%)Imbalance
영업상태명 is highly imbalanced (57.8%)Imbalance
상세영업상태코드 is highly imbalanced (57.8%)Imbalance
상세영업상태명 is highly imbalanced (57.8%)Imbalance
폐업일자 is highly imbalanced (72.1%)Imbalance
데이터갱신구분 is highly imbalanced (68.4%)Imbalance
인허가취소일자 has 35 (100.0%) missing valuesMissing
휴업시작일자 has 35 (100.0%) missing valuesMissing
휴업종료일자 has 35 (100.0%) missing valuesMissing
재개업일자 has 35 (100.0%) missing valuesMissing
소재지전화 has 6 (17.1%) missing valuesMissing
소재지면적 has 24 (68.6%) missing valuesMissing
소재지우편번호 has 35 (100.0%) missing valuesMissing
소재지전체주소 has 1 (2.9%) missing valuesMissing
도로명우편번호 has 1 (2.9%) missing valuesMissing
업태구분명 has 35 (100.0%) missing valuesMissing
축산물가공업구분명 has 35 (100.0%) missing valuesMissing
축산일련번호 has 35 (100.0%) missing valuesMissing
총종업원수 has 35 (100.0%) missing valuesMissing
Unnamed: 33 has 35 (100.0%) missing valuesMissing
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
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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
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 5 (14.3%) zerosZeros

Reproduction

Analysis started2024-04-16 16:57:44.331465
Analysis finished2024-04-16 16:57:44.704486
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-17T01:57:44.759987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q19.5
median18
Q326.5
95-th percentile33.3
Maximum35
Range34
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.246951
Coefficient of variation (CV)0.56927504
Kurtosis-1.2
Mean18
Median Absolute Deviation (MAD)9
Skewness0
Sum630
Variance105
MonotonicityStrictly increasing
2024-04-17T01:57:44.876005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 1
 
2.9%
2 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
28 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
동물용의료용구판매업
35 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의료용구판매업 35
100.0%

Length

2024-04-17T01:57:45.019763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:45.113030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 35
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
02_03_03_P
35 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02_03_03_P
2nd row02_03_03_P
3rd row02_03_03_P
4th row02_03_03_P
5th row02_03_03_P

Common Values

ValueCountFrequency (%)
02_03_03_P 35
100.0%

Length

2024-04-17T01:57:45.204545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:45.297544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_03_p 35
100.0%

개방자치단체코드
Real number (ℝ)

Distinct13
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322285.7
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-17T01:57:45.378502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3257000
Q13300000
median3330000
Q33350000
95-th percentile3376000
Maximum3400000
Range150000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation37107.611
Coefficient of variation (CV)0.011169302
Kurtosis-0.36764699
Mean3322285.7
Median Absolute Deviation (MAD)30000
Skewness-0.081471201
Sum1.1628 × 108
Variance1.3769748 × 109
MonotonicityIncreasing
2024-04-17T01:57:45.480337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3330000 7
20.0%
3300000 6
17.1%
3290000 4
11.4%
3350000 4
11.4%
3340000 3
8.6%
3250000 2
 
5.7%
3360000 2
 
5.7%
3370000 2
 
5.7%
3260000 1
 
2.9%
3270000 1
 
2.9%
Other values (3) 3
8.6%
ValueCountFrequency (%)
3250000 2
 
5.7%
3260000 1
 
2.9%
3270000 1
 
2.9%
3290000 4
11.4%
3300000 6
17.1%
3310000 1
 
2.9%
3330000 7
20.0%
3340000 3
8.6%
3350000 4
11.4%
3360000 2
 
5.7%
ValueCountFrequency (%)
3400000 1
 
2.9%
3390000 1
 
2.9%
3370000 2
 
5.7%
3360000 2
 
5.7%
3350000 4
11.4%
3340000 3
8.6%
3330000 7
20.0%
3310000 1
 
2.9%
3300000 6
17.1%
3290000 4
11.4%

관리번호
Real number (ℝ)

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3222857 × 1017
Minimum3.25 × 1017
Maximum3.4 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-17T01:57:45.595070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.25 × 1017
5-th percentile3.257 × 1017
Q13.3 × 1017
median3.33 × 1017
Q33.35 × 1017
95-th percentile3.376 × 1017
Maximum3.4 × 1017
Range1.5 × 1016
Interquartile range (IQR)5 × 1015

Descriptive statistics

Standard deviation3.7107611 × 1015
Coefficient of variation (CV)0.011169301
Kurtosis-0.36764699
Mean3.3222857 × 1017
Median Absolute Deviation (MAD)3 × 1015
Skewness-0.081471201
Sum-6.818744 × 1018
Variance1.3769748 × 1031
MonotonicityNot monotonic
2024-04-17T01:57:45.713650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
325000001320040001 1
 
2.9%
325000001320200001 1
 
2.9%
333000001320200005 1
 
2.9%
333000001320180001 1
 
2.9%
334000001320190003 1
 
2.9%
334000001320190001 1
 
2.9%
334000001320190002 1
 
2.9%
335000001320170001 1
 
2.9%
335000001320180001 1
 
2.9%
335000001320150001 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
325000001320040001 1
2.9%
325000001320200001 1
2.9%
326000001320200001 1
2.9%
327000001320200001 1
2.9%
329000001320120001 1
2.9%
329000001320130001 1
2.9%
329000001320180001 1
2.9%
329000001320200001 1
2.9%
330000001320150001 1
2.9%
330000001320190001 1
2.9%
ValueCountFrequency (%)
340000001320200001 1
2.9%
339000001320090001 1
2.9%
337000001320180001 1
2.9%
337000001320140001 1
2.9%
336000001320200001 1
2.9%
336000001320190001 1
2.9%
335000001320180001 1
2.9%
335000001320170001 1
2.9%
335000001320150002 1
2.9%
335000001320150001 1
2.9%

인허가일자
Real number (ℝ)

Distinct33
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20174326
Minimum20040419
Maximum20201124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-17T01:57:45.831007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040419
5-th percentile20090883
Q120160980
median20190614
Q320200406
95-th percentile20200913
Maximum20201124
Range160705
Interquartile range (IQR)39426.5

Descriptive statistics

Standard deviation38665.783
Coefficient of variation (CV)0.0019165836
Kurtosis3.5654522
Mean20174326
Median Absolute Deviation (MAD)9911
Skewness-1.9093591
Sum7.061014 × 108
Variance1.4950427 × 109
MonotonicityNot monotonic
2024-04-17T01:57:45.963271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20200116 2
 
5.7%
20190614 2
 
5.7%
20040419 1
 
2.9%
20150102 1
 
2.9%
20181127 1
 
2.9%
20190619 1
 
2.9%
20171228 1
 
2.9%
20180816 1
 
2.9%
20150731 1
 
2.9%
20200611 1
 
2.9%
Other values (23) 23
65.7%
ValueCountFrequency (%)
20040419 1
2.9%
20090812 1
2.9%
20090914 1
2.9%
20130822 1
2.9%
20131014 1
2.9%
20140414 1
2.9%
20141224 1
2.9%
20150102 1
2.9%
20150731 1
2.9%
20171228 1
2.9%
ValueCountFrequency (%)
20201124 1
2.9%
20200924 1
2.9%
20200908 1
2.9%
20200826 1
2.9%
20200611 1
2.9%
20200525 1
2.9%
20200425 1
2.9%
20200414 1
2.9%
20200410 1
2.9%
20200402 1
2.9%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

영업상태구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
1
32 
3
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 32
91.4%
3 3
 
8.6%

Length

2024-04-17T01:57:46.091398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:46.182545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
91.4%
3 3
 
8.6%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
영업/정상
32 
폐업
 
3

Length

Max length5
Median length5
Mean length4.7428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 32
91.4%
폐업 3
 
8.6%

Length

2024-04-17T01:57:46.281428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:46.379474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 32
91.4%
폐업 3
 
8.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
0
32 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 32
91.4%
2 3
 
8.6%

Length

2024-04-17T01:57:46.472391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:46.558403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
91.4%
2 3
 
8.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
정상
32 
폐업
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 32
91.4%
폐업 3
 
8.6%

Length

2024-04-17T01:57:46.655353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:46.742737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 32
91.4%
폐업 3
 
8.6%

폐업일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
32 
20150914
 
1
20190214
 
1
20200612
 
1

Length

Max length8
Median length4
Mean length4.3428571
Min length4

Unique

Unique3 ?
Unique (%)8.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
91.4%
20150914 1
 
2.9%
20190214 1
 
2.9%
20200612 1
 
2.9%

Length

2024-04-17T01:57:46.843832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:46.945725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
91.4%
20150914 1
 
2.9%
20190214 1
 
2.9%
20200612 1
 
2.9%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

소재지전화
Text

MISSING 

Distinct24
Distinct (%)82.8%
Missing6
Missing (%)17.1%
Memory size412.0 B
2024-04-17T01:57:47.098079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.103448
Min length8

Characters and Unicode

Total characters322
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)72.4%

Sample

1st row468-8889
2nd row051-245-4322
3rd row0512470442
4th row051-522-1980
5th row051-892-7975
ValueCountFrequency (%)
051-926-8885 3
 
10.3%
051-208-3663 3
 
10.3%
051-522-1980 2
 
6.9%
051-904-0837 1
 
3.4%
468-8889 1
 
3.4%
531-7588 1
 
3.4%
312-7575 1
 
3.4%
757-2279 1
 
3.4%
518-1360 1
 
3.4%
051-516-8117 1
 
3.4%
Other values (14) 14
48.3%
2024-04-17T01:57:47.387535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
15.5%
- 45
14.0%
5 43
13.4%
1 38
11.8%
8 33
10.2%
2 31
9.6%
6 20
 
6.2%
7 20
 
6.2%
3 17
 
5.3%
9 15
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 277
86.0%
Dash Punctuation 45
 
14.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
18.1%
5 43
15.5%
1 38
13.7%
8 33
11.9%
2 31
11.2%
6 20
 
7.2%
7 20
 
7.2%
3 17
 
6.1%
9 15
 
5.4%
4 10
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 322
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50
15.5%
- 45
14.0%
5 43
13.4%
1 38
11.8%
8 33
10.2%
2 31
9.6%
6 20
 
6.2%
7 20
 
6.2%
3 17
 
5.3%
9 15
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 322
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
15.5%
- 45
14.0%
5 43
13.4%
1 38
11.8%
8 33
10.2%
2 31
9.6%
6 20
 
6.2%
7 20
 
6.2%
3 17
 
5.3%
9 15
 
4.7%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)54.5%
Missing24
Missing (%)68.6%
Infinite0
Infinite (%)0.0%
Mean41.399091
Minimum0
Maximum111
Zeros5
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-17T01:57:47.492320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median18
Q376.18
95-th percentile111
Maximum111
Range111
Interquartile range (IQR)76.18

Descriptive statistics

Standard deviation46.657495
Coefficient of variation (CV)1.1270174
Kurtosis-1.6279224
Mean41.399091
Median Absolute Deviation (MAD)18
Skewness0.49215932
Sum455.39
Variance2176.9218
MonotonicityNot monotonic
2024-04-17T01:57:47.587067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 5
 
14.3%
111.0 2
 
5.7%
63.03 1
 
2.9%
82.36 1
 
2.9%
18.0 1
 
2.9%
70.0 1
 
2.9%
(Missing) 24
68.6%
ValueCountFrequency (%)
0.0 5
14.3%
18.0 1
 
2.9%
63.03 1
 
2.9%
70.0 1
 
2.9%
82.36 1
 
2.9%
111.0 2
 
5.7%
ValueCountFrequency (%)
111.0 2
 
5.7%
82.36 1
 
2.9%
70.0 1
 
2.9%
63.03 1
 
2.9%
18.0 1
 
2.9%
0.0 5
14.3%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

소재지전체주소
Text

MISSING 

Distinct32
Distinct (%)94.1%
Missing1
Missing (%)2.9%
Memory size412.0 B
2024-04-17T01:57:47.813077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length32
Mean length26.205882
Min length20

Characters and Unicode

Total characters891
Distinct characters122
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)88.2%

Sample

1st row부산광역시 중구 대창동1가 54-1번지 (대창동2가 37-3 외 1필지)센트럴오피스텔 202호
2nd row부산광역시 중구 중앙동4가 80-13
3rd row부산광역시 서구 부민동1가 16-1번지 한웅캠퍼스타워
4th row부산광역시 동구 초량동 1154-1번지 서남빌딩
5th row부산광역시 부산진구 연지동 7-3번지 부경빌딩
ValueCountFrequency (%)
부산광역시 34
 
21.1%
해운대구 7
 
4.3%
동래구 6
 
3.7%
부산진구 4
 
2.5%
금정구 4
 
2.5%
재송동 3
 
1.9%
사하구 3
 
1.9%
하단동 3
 
1.9%
1157-10번지 3
 
1.9%
안락동 3
 
1.9%
Other values (81) 91
56.5%
2024-04-17T01:57:48.171782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
127
 
14.3%
1 54
 
6.1%
부 44
 
4.9%
산 43
 
4.8%
동 42
 
4.7%
광 34
 
3.8%
역 34
 
3.8%
시 34
 
3.8%
구 33
 
3.7%
지 32
 
3.6%
Other values (112) 414
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 557
62.5%
Decimal Number 175
 
19.6%
Space Separator 127
 
14.3%
Dash Punctuation 30
 
3.4%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 44
 
7.9%
산 43
 
7.7%
동 42
 
7.5%
광 34
 
6.1%
역 34
 
6.1%
시 34
 
6.1%
구 33
 
5.9%
지 32
 
5.7%
번 30
 
5.4%
대 15
 
2.7%
Other values (98) 216
38.8%
Decimal Number
ValueCountFrequency (%)
1 54
30.9%
2 24
13.7%
3 20
 
11.4%
4 19
 
10.9%
0 15
 
8.6%
6 12
 
6.9%
5 12
 
6.9%
7 8
 
4.6%
8 7
 
4.0%
9 4
 
2.3%
Space Separator
ValueCountFrequency (%)
127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 557
62.5%
Common 334
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 44
 
7.9%
산 43
 
7.7%
동 42
 
7.5%
광 34
 
6.1%
역 34
 
6.1%
시 34
 
6.1%
구 33
 
5.9%
지 32
 
5.7%
번 30
 
5.4%
대 15
 
2.7%
Other values (98) 216
38.8%
Common
ValueCountFrequency (%)
127
38.0%
1 54
16.2%
- 30
 
9.0%
2 24
 
7.2%
3 20
 
6.0%
4 19
 
5.7%
0 15
 
4.5%
6 12
 
3.6%
5 12
 
3.6%
7 8
 
2.4%
Other values (4) 13
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 557
62.5%
ASCII 334
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
127
38.0%
1 54
16.2%
- 30
 
9.0%
2 24
 
7.2%
3 20
 
6.0%
4 19
 
5.7%
0 15
 
4.5%
6 12
 
3.6%
5 12
 
3.6%
7 8
 
2.4%
Other values (4) 13
 
3.9%
Hangul
ValueCountFrequency (%)
부 44
 
7.9%
산 43
 
7.7%
동 42
 
7.5%
광 34
 
6.1%
역 34
 
6.1%
시 34
 
6.1%
구 33
 
5.9%
지 32
 
5.7%
번 30
 
5.4%
대 15
 
2.7%
Other values (98) 216
38.8%

도로명전체주소
Text

Distinct32
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-04-17T01:57:48.424874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length40
Mean length32.057143
Min length21

Characters and Unicode

Total characters1122
Distinct characters151
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)85.7%

Sample

1st row부산광역시 중구 중앙대로 131, 202호 (대창동1가, 센트럴오피스텔)
2nd row부산광역시 중구 충장대로9번길 30-1 (중앙동4가)
3rd row부산광역시 서구 구덕로 220, 한웅캠퍼스타워 103-2호 (부민동1가)
4th row부산광역시 동구 중앙대로332번길 8, 서남빌딩 403호 (초량동)
5th row부산광역시 부산진구 성지로 54, 부경빌딩 (연지동)
ValueCountFrequency (%)
부산광역시 35
 
16.7%
해운대구 7
 
3.3%
동래구 6
 
2.9%
금정구 4
 
1.9%
부산진구 4
 
1.9%
재송동 3
 
1.4%
안락동 3
 
1.4%
402호 3
 
1.4%
사하구 3
 
1.4%
407 3
 
1.4%
Other values (120) 139
66.2%
2024-04-17T01:57:48.803826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
175
 
15.6%
동 49
 
4.4%
부 47
 
4.2%
산 47
 
4.2%
광 36
 
3.2%
시 36
 
3.2%
로 35
 
3.1%
역 35
 
3.1%
구 35
 
3.1%
( 34
 
3.0%
Other values (141) 593
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 675
60.2%
Space Separator 175
 
15.6%
Decimal Number 174
 
15.5%
Open Punctuation 34
 
3.0%
Close Punctuation 34
 
3.0%
Other Punctuation 22
 
2.0%
Dash Punctuation 4
 
0.4%
Uppercase Letter 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 49
 
7.3%
부 47
 
7.0%
산 47
 
7.0%
광 36
 
5.3%
시 36
 
5.3%
로 35
 
5.2%
역 35
 
5.2%
구 35
 
5.2%
대 23
 
3.4%
번 15
 
2.2%
Other values (122) 317
47.0%
Decimal Number
ValueCountFrequency (%)
1 29
16.7%
2 26
14.9%
0 24
13.8%
4 20
11.5%
3 20
11.5%
7 16
9.2%
6 12
6.9%
9 12
6.9%
5 9
 
5.2%
8 6
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
C 1
25.0%
E 1
25.0%
P 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 675
60.2%
Common 443
39.5%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 49
 
7.3%
부 47
 
7.0%
산 47
 
7.0%
광 36
 
5.3%
시 36
 
5.3%
로 35
 
5.2%
역 35
 
5.2%
구 35
 
5.2%
대 23
 
3.4%
번 15
 
2.2%
Other values (122) 317
47.0%
Common
ValueCountFrequency (%)
175
39.5%
( 34
 
7.7%
) 34
 
7.7%
1 29
 
6.5%
2 26
 
5.9%
0 24
 
5.4%
, 22
 
5.0%
4 20
 
4.5%
3 20
 
4.5%
7 16
 
3.6%
Other values (5) 43
 
9.7%
Latin
ValueCountFrequency (%)
C 1
25.0%
E 1
25.0%
P 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 675
60.2%
ASCII 447
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
39.1%
( 34
 
7.6%
) 34
 
7.6%
1 29
 
6.5%
2 26
 
5.8%
0 24
 
5.4%
, 22
 
4.9%
4 20
 
4.5%
3 20
 
4.5%
7 16
 
3.6%
Other values (9) 47
 
10.5%
Hangul
ValueCountFrequency (%)
동 49
 
7.3%
부 47
 
7.0%
산 47
 
7.0%
광 36
 
5.3%
시 36
 
5.3%
로 35
 
5.2%
역 35
 
5.2%
구 35
 
5.2%
대 23
 
3.4%
번 15
 
2.2%
Other values (122) 317
47.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)91.2%
Missing1
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean47775.412
Minimum46020
Maximum49301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-17T01:57:48.927362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46020
5-th percentile46232.95
Q147270.25
median47885
Q348074.25
95-th percentile49301
Maximum49301
Range3281
Interquartile range (IQR)804

Descriptive statistics

Standard deviation944.48701
Coefficient of variation (CV)0.019769312
Kurtosis-0.61981836
Mean47775.412
Median Absolute Deviation (MAD)609.5
Skewness-0.15256913
Sum1624364
Variance892055.7
MonotonicityNot monotonic
2024-04-17T01:57:49.040624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
49301 3
 
8.6%
48059 2
 
5.7%
48924 1
 
2.9%
48039 1
 
2.9%
46020 1
 
2.9%
47594 1
 
2.9%
47558 1
 
2.9%
46721 1
 
2.9%
46722 1
 
2.9%
46328 1
 
2.9%
Other values (21) 21
60.0%
ValueCountFrequency (%)
46020 1
2.9%
46218 1
2.9%
46241 1
2.9%
46279 1
2.9%
46328 1
2.9%
46721 1
2.9%
46722 1
2.9%
47122 1
2.9%
47265 1
2.9%
47286 1
2.9%
ValueCountFrequency (%)
49301 3
8.6%
49223 1
 
2.9%
48937 1
 
2.9%
48924 1
 
2.9%
48729 1
 
2.9%
48513 1
 
2.9%
48079 1
 
2.9%
48060 1
 
2.9%
48059 2
5.7%
48054 1
 
2.9%

사업장명
Text

Distinct31
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-04-17T01:57:49.234671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length11
Mean length8.5142857
Min length4

Characters and Unicode

Total characters298
Distinct characters108
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)80.0%

Sample

1st row랜 트 론
2nd row진아이텍
3rd row폴리파크 부민점
4th row주식회사 앨버트코리아
5th row(주)제이케이메디칼
ValueCountFrequency (%)
주식회사 4
 
8.0%
주)진바이오사이언스 3
 
6.0%
폴리파크 3
 
6.0%
앨버트코리아 2
 
4.0%
주)에스엔에스 2
 
4.0%
주)비케이메디텍 1
 
2.0%
트 1
 
2.0%
론 1
 
2.0%
루시드라인(lucid 1
 
2.0%
line 1
 
2.0%
Other values (31) 31
62.0%
2024-04-17T01:57:49.562668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 22
 
7.4%
주 16
 
5.4%
15
 
5.0%
( 13
 
4.4%
스 13
 
4.4%
) 13
 
4.4%
디 8
 
2.7%
사 7
 
2.3%
에 7
 
2.3%
바 6
 
2.0%
Other values (98) 178
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 247
82.9%
Space Separator 15
 
5.0%
Open Punctuation 13
 
4.4%
Close Punctuation 13
 
4.4%
Uppercase Letter 9
 
3.0%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 22
 
8.9%
주 16
 
6.5%
스 13
 
5.3%
디 8
 
3.2%
사 7
 
2.8%
에 7
 
2.8%
바 6
 
2.4%
오 6
 
2.4%
아 6
 
2.4%
리 6
 
2.4%
Other values (87) 150
60.7%
Uppercase Letter
ValueCountFrequency (%)
L 2
22.2%
I 2
22.2%
N 1
11.1%
D 1
11.1%
E 1
11.1%
C 1
11.1%
U 1
11.1%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 247
82.9%
Common 42
 
14.1%
Latin 9
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 22
 
8.9%
주 16
 
6.5%
스 13
 
5.3%
디 8
 
3.2%
사 7
 
2.8%
에 7
 
2.8%
바 6
 
2.4%
오 6
 
2.4%
아 6
 
2.4%
리 6
 
2.4%
Other values (87) 150
60.7%
Latin
ValueCountFrequency (%)
L 2
22.2%
I 2
22.2%
N 1
11.1%
D 1
11.1%
E 1
11.1%
C 1
11.1%
U 1
11.1%
Common
ValueCountFrequency (%)
15
35.7%
( 13
31.0%
) 13
31.0%
, 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 247
82.9%
ASCII 51
 
17.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 22
 
8.9%
주 16
 
6.5%
스 13
 
5.3%
디 8
 
3.2%
사 7
 
2.8%
에 7
 
2.8%
바 6
 
2.4%
오 6
 
2.4%
아 6
 
2.4%
리 6
 
2.4%
Other values (87) 150
60.7%
ASCII
ValueCountFrequency (%)
15
29.4%
( 13
25.5%
) 13
25.5%
L 2
 
3.9%
I 2
 
3.9%
N 1
 
2.0%
D 1
 
2.0%
E 1
 
2.0%
C 1
 
2.0%
U 1
 
2.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0183762 × 1013
Minimum2.0130702 × 1013
Maximum2.0201124 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-17T01:57:49.687948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0130702 × 1013
5-th percentile2.0137594 × 1013
Q12.018026 × 1013
median2.0190619 × 1013
Q32.0200412 × 1013
95-th percentile2.0200913 × 1013
Maximum2.0201124 × 1013
Range7.0421923 × 1010
Interquartile range (IQR)2.0151981 × 1010

Descriptive statistics

Standard deviation2.2326617 × 1010
Coefficient of variation (CV)0.0011061673
Kurtosis0.44456811
Mean2.0183762 × 1013
Median Absolute Deviation (MAD)9.8110122 × 109
Skewness-1.298107
Sum7.0643168 × 1014
Variance4.9847784 × 1020
MonotonicityNot monotonic
2024-04-17T01:57:49.817238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
20150714102619 1
 
2.9%
20201124093126 1
 
2.9%
20200924144829 1
 
2.9%
20181127120550 1
 
2.9%
20190619114615 1
 
2.9%
20190614140927 1
 
2.9%
20190614141023 1
 
2.9%
20171228091436 1
 
2.9%
20180816164453 1
 
2.9%
20190214190525 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
20130702170210 1
2.9%
20131014131219 1
2.9%
20140414102254 1
2.9%
20141224142458 1
2.9%
20150714102619 1
2.9%
20150914154015 1
2.9%
20160905161916 1
2.9%
20171228091436 1
2.9%
20180115181957 1
2.9%
20180405181852 1
2.9%
ValueCountFrequency (%)
20201124093126 1
2.9%
20200924144829 1
2.9%
20200908162255 1
2.9%
20200826142357 1
2.9%
20200615102735 1
2.9%
20200611162416 1
2.9%
20200525114044 1
2.9%
20200427163952 1
2.9%
20200414155056 1
2.9%
20200410171002 1
2.9%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
I
33 
U
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 33
94.3%
U 2
 
5.7%

Length

2024-04-17T01:57:49.943604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:50.317795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 33
94.3%
u 2
 
5.7%

데이터갱신일자
Date

Distinct22
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2018-08-31 23:59:59
Maximum2020-11-26 00:23:07
2024-04-17T01:57:50.395023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T01:57:50.511035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

좌표정보(x)
Real number (ℝ)

Distinct32
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean388509.87
Minimum377106.28
Maximum400334.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-17T01:57:50.625112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum377106.28
5-th percentile378447.49
Q1385677.82
median389314.66
Q3391982.97
95-th percentile396513.22
Maximum400334.68
Range23228.394
Interquartile range (IQR)6305.1506

Descriptive statistics

Standard deviation5832.2521
Coefficient of variation (CV)0.015011851
Kurtosis-0.29825086
Mean388509.87
Median Absolute Deviation (MAD)3576.1543
Skewness-0.39040743
Sum13597845
Variance34015165
MonotonicityNot monotonic
2024-04-17T01:57:50.743347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
378644.397589143 3
 
8.6%
393607.260373715 2
 
5.7%
385617.137705097 1
 
2.9%
390221.575485059 1
 
2.9%
395803.424089828 1
 
2.9%
398169.407760773 1
 
2.9%
390031.22990161 1
 
2.9%
389314.662085919 1
 
2.9%
391629.724449529 1
 
2.9%
393127.433890718 1
 
2.9%
Other values (22) 22
62.9%
ValueCountFrequency (%)
377106.283988524 1
 
2.9%
377988.03993089 1
 
2.9%
378644.397589143 3
8.6%
380225.635401772 1
 
2.9%
384124.045142266 1
 
2.9%
384134.718019026 1
 
2.9%
385617.137705097 1
 
2.9%
385738.507769195 1
 
2.9%
386480.438778908 1
 
2.9%
387131.747038663 1
 
2.9%
ValueCountFrequency (%)
400334.677792111 1
2.9%
398169.407760773 1
2.9%
395803.424089828 1
2.9%
394209.294344881 1
2.9%
393607.260373715 2
5.7%
393384.295224619 1
2.9%
393127.433890718 1
2.9%
392115.506949839 1
2.9%
391850.439738055 1
2.9%
391831.872113392 1
2.9%

좌표정보(y)
Real number (ℝ)

Distinct32
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188432.53
Minimum180208.34
Maximum205187.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-04-17T01:57:50.854454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180208.34
5-th percentile180769.26
Q1185840.75
median188182.3
Q3190837.39
95-th percentile196091.65
Maximum205187.78
Range24979.444
Interquartile range (IQR)4996.6411

Descriptive statistics

Standard deviation5382.8538
Coefficient of variation (CV)0.028566478
Kurtosis1.6384915
Mean188432.53
Median Absolute Deviation (MAD)2426.2179
Skewness0.80432454
Sum6595138.6
Variance28975115
MonotonicityNot monotonic
2024-04-17T01:57:50.973862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
181572.854733243 3
 
8.6%
188408.076687691 2
 
5.7%
180818.494927285 1
 
2.9%
194263.188438189 1
 
2.9%
194717.207744519 1
 
2.9%
188156.70274544 1
 
2.9%
199298.672890002 1
 
2.9%
194669.898821687 1
 
2.9%
192497.046145003 1
 
2.9%
190601.039517542 1
 
2.9%
Other values (22) 22
62.9%
ValueCountFrequency (%)
180208.336035865 1
 
2.9%
180654.377993508 1
 
2.9%
180818.494927285 1
 
2.9%
181572.854733243 3
8.6%
182596.053419147 1
 
2.9%
183300.505021436 1
 
2.9%
185756.084255068 1
 
2.9%
185925.409482326 1
 
2.9%
186103.728712915 1
 
2.9%
186791.519406736 1
 
2.9%
ValueCountFrequency (%)
205187.780445372 1
2.9%
199298.672890002 1
2.9%
194717.207744519 1
2.9%
194669.898821687 1
2.9%
194263.188438189 1
2.9%
192497.046145003 1
2.9%
191472.120146392 1
2.9%
191440.874252037 1
2.9%
191073.736445776 1
2.9%
190601.039517542 1
2.9%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
동물용의료용구판매업
35 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의료용구판매업 35
100.0%

Length

2024-04-17T01:57:51.088916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:51.177881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 35
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
000
30 
L00
5 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row000
2nd row000
3rd row000
4th row000
5th rowL00

Common Values

ValueCountFrequency (%)
000 30
85.7%
L00 5
 
14.3%

Length

2024-04-17T01:57:51.273846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:51.363911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 30
85.7%
l00 5
 
14.3%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
01동물용의료용구판매업02_03_03_P325000032500000132004000120040419<NA>1영업/정상0정상<NA><NA><NA><NA>468-88890.0<NA>부산광역시 중구 대창동1가 54-1번지 (대창동2가 37-3 외 1필지)센트럴오피스텔 202호부산광역시 중구 중앙대로 131, 202호 (대창동1가, 센트럴오피스텔)48924랜 트 론20150714102619I2018-08-31 23:59:59.0<NA>385617.137705180818.494927동물용의료용구판매업<NA><NA>000<NA><NA>
12동물용의료용구판매업02_03_03_P325000032500000132020000120201124<NA>1영업/정상0정상<NA><NA><NA><NA>051-245-4322<NA><NA>부산광역시 중구 중앙동4가 80-13부산광역시 중구 충장대로9번길 30-1 (중앙동4가)48937진아이텍20201124093126I2020-11-26 00:23:07.0<NA>385738.507769180654.377994동물용의료용구판매업<NA><NA>000<NA><NA>
23동물용의료용구판매업02_03_03_P326000032600000132020000120200425<NA>1영업/정상0정상<NA><NA><NA><NA>0512470442<NA><NA>부산광역시 서구 부민동1가 16-1번지 한웅캠퍼스타워부산광역시 서구 구덕로 220, 한웅캠퍼스타워 103-2호 (부민동1가)49223폴리파크 부민점20200427163952I2020-04-29 00:23:20.0<NA>384134.718019180208.336036동물용의료용구판매업<NA><NA>000<NA><NA>
34동물용의료용구판매업02_03_03_P327000032700000132020000120200218<NA>1영업/정상0정상<NA><NA><NA><NA>051-522-19800.0<NA>부산광역시 동구 초량동 1154-1번지 서남빌딩부산광역시 동구 중앙대로332번길 8, 서남빌딩 403호 (초량동)48729주식회사 앨버트코리아20200218160157I2020-02-20 00:23:23.0<NA>386480.438779182596.053419동물용의료용구판매업<NA><NA>000<NA><NA>
45동물용의료용구판매업02_03_03_P329000032900000132020000120200325<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>부산광역시 부산진구 연지동 7-3번지 부경빌딩부산광역시 부산진구 성지로 54, 부경빌딩 (연지동)47122(주)제이케이메디칼20200326134607I2020-03-28 00:23:21.0<NA>387131.747039188182.302112동물용의료용구판매업<NA><NA>L00<NA><NA>
56동물용의료용구판매업02_03_03_P329000032900000132013000120130822<NA>1영업/정상0정상<NA><NA><NA><NA>051-892-797563.03<NA>부산광역시 부산진구 개금동 473-6번지부산광역시 부산진구 가야대로443번길 24 (개금동)47265아이디어 벳 메디칼, 한국동물 의공학 연구소20160905161916I2018-08-31 23:59:59.0<NA>384124.045142185756.084255동물용의료용구판매업<NA><NA>000<NA><NA>
67동물용의료용구판매업02_03_03_P329000032900000132018000120180808<NA>1영업/정상0정상<NA><NA><NA><NA>051-818-2389<NA><NA>부산광역시 부산진구 부전동 168-291번지부산광역시 부산진구 동천로 89 (부전동)47292폴리파크 서면점20180808102417I2018-08-31 23:59:59.0<NA>387825.371675186103.728713동물용의료용구판매업<NA><NA>000<NA><NA>
78동물용의료용구판매업02_03_03_P329000032900000132012000120090812<NA>3폐업2폐업20150914<NA><NA><NA><NA>0.0<NA>부산광역시 부산진구 부전동 254-10번지 대도빌딩 4층부산광역시 부산진구 서면로68번길 43 (부전동)47286중앙아이엔티영남대리점20150914154015I2018-08-31 23:59:59.0<NA>387507.350171185925.409482동물용의료용구판매업<NA><NA>000<NA><NA>
89동물용의료용구판매업02_03_03_P330000033000000132019000120190305<NA>1영업/정상0정상<NA><NA><NA><NA>051-532-267382.36<NA>부산광역시 동래구 안락동 178-20번지부산광역시 동래구 온천천로 523, 2층 (안락동)47905주식회사 대진과학20190305110821I2019-03-07 02:21:42.0<NA>392115.50695189982.935614동물용의료용구판매업<NA><NA>000<NA><NA>
910동물용의료용구판매업02_03_03_P330000033000000132015000120180115<NA>1영업/정상0정상<NA><NA><NA><NA>051-521-8226<NA><NA>부산광역시 동래구 안락동 461-14번지부산광역시 동래구 충렬대로 447 (안락동)47795주식회사 디에이알20180115181957I2018-08-31 23:59:59.0<NA>391850.439738190586.18785동물용의료용구판매업<NA><NA>000<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
2526동물용의료용구판매업02_03_03_P335000033500000132017000120171228<NA>1영업/정상0정상<NA><NA><NA><NA>070-8683-1093<NA><NA>부산광역시 금정구 청룡동 31-2번지 남화기수타워부산광역시 금정구 금강로 758, 601호 (청룡동, 남화기수타워)46218(주)비케이메디텍20171228091436I2018-08-31 23:59:59.0<NA>390031.229902199298.67289동물용의료용구판매업<NA><NA>000<NA><NA>
2627동물용의료용구판매업02_03_03_P335000033500000132018000120180816<NA>1영업/정상0정상<NA><NA><NA><NA>051-516-8117<NA><NA>부산광역시 금정구 장전동 40번지 부산대학교부산광역시 금정구 부산대학로63번길 2, 부산대학교 삼성산학협동관 603호 (장전동)46241선바이오연구소(주)20180816164453I2018-08-31 23:59:59.0<NA>389314.662086194669.898822동물용의료용구판매업<NA><NA>L00<NA><NA>
2728동물용의료용구판매업02_03_03_P335000033500000132015000120150102<NA>3폐업2폐업20190214<NA><NA><NA>518-1360<NA><NA>부산광역시 금정구 부곡동 268-2번지부산광역시 금정구 중앙대로 1617-12 (부곡동)46279킹동물병원20190214190525U2019-02-16 02:40:00.0<NA>390221.575485194263.188438동물용의료용구판매업<NA><NA>000<NA><NA>
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