Overview

Dataset statistics

Number of variables33
Number of observations39
Missing cells388
Missing cells (%)30.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.0 KiB
Average record size in memory288.4 B

Variable types

Numeric9
Categorical10
Unsupported9
Text4
DateTime1

Dataset

Description2021-05-01
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
업무구분명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (60.9%)Imbalance
영업상태명 is highly imbalanced (60.9%)Imbalance
상세영업상태코드 is highly imbalanced (60.9%)Imbalance
상세영업상태명 is highly imbalanced (60.9%)Imbalance
폐업일자 is highly imbalanced (74.3%)Imbalance
데이터갱신구분 is highly imbalanced (60.9%)Imbalance
인허가취소일자 has 39 (100.0%) missing valuesMissing
휴업시작일자 has 39 (100.0%) missing valuesMissing
휴업종료일자 has 39 (100.0%) missing valuesMissing
재개업일자 has 39 (100.0%) missing valuesMissing
소재지전화 has 7 (17.9%) missing valuesMissing
소재지면적 has 28 (71.8%) missing valuesMissing
소재지우편번호 has 39 (100.0%) missing valuesMissing
소재지전체주소 has 1 (2.6%) missing valuesMissing
도로명우편번호 has 1 (2.6%) missing valuesMissing
업태구분명 has 39 (100.0%) missing valuesMissing
상세업무구분명 has 39 (100.0%) missing valuesMissing
총종업원수 has 39 (100.0%) missing valuesMissing
Unnamed: 32 has 39 (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
상세업무구분명 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: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 5 (12.8%) zerosZeros

Reproduction

Analysis started2024-04-16 16:57:10.933392
Analysis finished2024-04-16 16:57:11.315467
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-17T01:57:11.370135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q110.5
median20
Q329.5
95-th percentile37.1
Maximum39
Range38
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.401754
Coefficient of variation (CV)0.57008771
Kurtosis-1.2
Mean20
Median Absolute Deviation (MAD)10
Skewness0
Sum780
Variance130
MonotonicityStrictly increasing
2024-04-17T01:57:11.490531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 1
 
2.6%
2 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
30 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
39 1
2.6%
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
동물용의료용구판매업
39 

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 39
100.0%

Length

2024-04-17T01:57:11.618275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:11.696520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 39
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
02_03_03_P
39 

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 39
100.0%

Length

2024-04-17T01:57:11.776474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:11.865147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_03_03_p 39
100.0%

개방자치단체코드
Real number (ℝ)

Distinct13
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3320769.2
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-17T01:57:11.974987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3259000
Q13295000
median3330000
Q33350000
95-th percentile3372000
Maximum3400000
Range150000
Interquartile range (IQR)55000

Descriptive statistics

Standard deviation37443.615
Coefficient of variation (CV)0.011275585
Kurtosis-0.57096591
Mean3320769.2
Median Absolute Deviation (MAD)30000
Skewness0.015870145
Sum1.2951 × 108
Variance1.4020243 × 109
MonotonicityNot monotonic
2024-04-17T01:57:12.083635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3330000 7
17.9%
3300000 7
17.9%
3290000 5
12.8%
3350000 4
10.3%
3370000 3
7.7%
3340000 3
7.7%
3360000 2
 
5.1%
3270000 2
 
5.1%
3250000 2
 
5.1%
3400000 1
 
2.6%
Other values (3) 3
7.7%
ValueCountFrequency (%)
3250000 2
 
5.1%
3260000 1
 
2.6%
3270000 2
 
5.1%
3290000 5
12.8%
3300000 7
17.9%
3310000 1
 
2.6%
3330000 7
17.9%
3340000 3
7.7%
3350000 4
10.3%
3360000 2
 
5.1%
ValueCountFrequency (%)
3400000 1
 
2.6%
3390000 1
 
2.6%
3370000 3
7.7%
3360000 2
 
5.1%
3350000 4
10.3%
3340000 3
7.7%
3330000 7
17.9%
3310000 1
 
2.6%
3300000 7
17.9%
3290000 5
12.8%

관리번호
Real number (ℝ)

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3207692 × 1017
Minimum3.25 × 1017
Maximum3.4 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-17T01:57:12.196958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.25 × 1017
5-th percentile3.259 × 1017
Q13.295 × 1017
median3.33 × 1017
Q33.35 × 1017
95-th percentile3.372 × 1017
Maximum3.4 × 1017
Range1.5 × 1016
Interquartile range (IQR)5.5 × 1015

Descriptive statistics

Standard deviation3.7443615 × 1015
Coefficient of variation (CV)0.011275585
Kurtosis-0.57096591
Mean3.3207692 × 1017
Median Absolute Deviation (MAD)3 × 1015
Skewness0.015870145
Sum-5.495744 × 1018
Variance1.4020243 × 1031
MonotonicityNot monotonic
2024-04-17T01:57:12.583938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
340000001320200001 1
 
2.6%
339000001320090001 1
 
2.6%
330000001320200003 1
 
2.6%
330000001320200002 1
 
2.6%
330000001320200001 1
 
2.6%
330000001320150001 1
 
2.6%
330000001320190001 1
 
2.6%
329000001320210001 1
 
2.6%
329000001320180001 1
 
2.6%
329000001320130001 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
325000001320040001 1
2.6%
325000001320200001 1
2.6%
326000001320200001 1
2.6%
327000001320200001 1
2.6%
327000001320210001 1
2.6%
329000001320120001 1
2.6%
329000001320130001 1
2.6%
329000001320180001 1
2.6%
329000001320200001 1
2.6%
329000001320210001 1
2.6%
ValueCountFrequency (%)
340000001320200001 1
2.6%
339000001320090001 1
2.6%
337000001320210001 1
2.6%
337000001320180001 1
2.6%
337000001320140001 1
2.6%
336000001320200001 1
2.6%
336000001320190001 1
2.6%
335000001320180001 1
2.6%
335000001320170001 1
2.6%
335000001320150002 1
2.6%

인허가일자
Real number (ℝ)

Distinct37
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20178002
Minimum20040419
Maximum20210319
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-17T01:57:12.701519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040419
5-th percentile20090904
Q120175672
median20190828
Q320200475
95-th percentile20210114
Maximum20210319
Range169900
Interquartile range (IQR)24803.5

Descriptive statistics

Standard deviation38196.988
Coefficient of variation (CV)0.0018930015
Kurtosis3.9389992
Mean20178002
Median Absolute Deviation (MAD)10020
Skewness-1.9747216
Sum7.8694207 × 108
Variance1.4590099 × 109
MonotonicityNot monotonic
2024-04-17T01:57:12.828121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
20200116 2
 
5.1%
20190614 2
 
5.1%
20200908 1
 
2.6%
20200325 1
 
2.6%
20200402 1
 
2.6%
20180115 1
 
2.6%
20190305 1
 
2.6%
20210104 1
 
2.6%
20180808 1
 
2.6%
20130822 1
 
2.6%
Other values (27) 27
69.2%
ValueCountFrequency (%)
20040419 1
2.6%
20090812 1
2.6%
20090914 1
2.6%
20130822 1
2.6%
20131014 1
2.6%
20140414 1
2.6%
20141224 1
2.6%
20150102 1
2.6%
20150731 1
2.6%
20171228 1
2.6%
ValueCountFrequency (%)
20210319 1
2.6%
20210125 1
2.6%
20210113 1
2.6%
20210104 1
2.6%
20201124 1
2.6%
20200924 1
2.6%
20200908 1
2.6%
20200826 1
2.6%
20200611 1
2.6%
20200525 1
2.6%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

영업상태구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
1
36 
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 36
92.3%
3 3
 
7.7%

Length

2024-04-17T01:57:12.943341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:13.035617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 36
92.3%
3 3
 
7.7%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
영업/정상
36 
폐업
 
3

Length

Max length5
Median length5
Mean length4.7692308
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 36
92.3%
폐업 3
 
7.7%

Length

2024-04-17T01:57:13.147050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:13.243625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 36
92.3%
폐업 3
 
7.7%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
0
36 
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 36
92.3%
2 3
 
7.7%

Length

2024-04-17T01:57:13.346246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:13.450264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
92.3%
2 3
 
7.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
정상
36 
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 36
92.3%
폐업 3
 
7.7%

Length

2024-04-17T01:57:13.540706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:13.630179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 36
92.3%
폐업 3
 
7.7%

폐업일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
20200612
 
1
20190214
 
1
20150914
 
1

Length

Max length8
Median length4
Mean length4.3076923
Min length4

Unique

Unique3 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
92.3%
20200612 1
 
2.6%
20190214 1
 
2.6%
20150914 1
 
2.6%

Length

2024-04-17T01:57:13.734935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:13.855427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
20200612 1
 
2.6%
20190214 1
 
2.6%
20150914 1
 
2.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

소재지전화
Text

MISSING 

Distinct26
Distinct (%)81.2%
Missing7
Missing (%)17.9%
Memory size444.0 B
2024-04-17T01:57:14.031594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.125
Min length8

Characters and Unicode

Total characters356
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

Unique22 ?
Unique (%)68.8%

Sample

1st row0517282960
2nd row312-7575
3rd row051-862-5678
4th row051-522-1980
5th row757-2279
ValueCountFrequency (%)
051-208-3663 3
 
9.4%
051-926-8885 3
 
9.4%
051-521-8226 2
 
6.2%
051-522-1980 2
 
6.2%
0517282960 1
 
3.1%
468-8889 1
 
3.1%
051-245-4322 1
 
3.1%
0512470442 1
 
3.1%
0512571010 1
 
3.1%
051-892-7975 1
 
3.1%
Other values (16) 16
50.0%
2024-04-17T01:57:14.333633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 55
15.4%
5 49
13.8%
- 49
13.8%
1 44
12.4%
2 36
10.1%
8 36
10.1%
6 23
6.5%
7 22
 
6.2%
3 17
 
4.8%
9 15
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 307
86.2%
Dash Punctuation 49
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 55
17.9%
5 49
16.0%
1 44
14.3%
2 36
11.7%
8 36
11.7%
6 23
7.5%
7 22
 
7.2%
3 17
 
5.5%
9 15
 
4.9%
4 10
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 356
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 55
15.4%
5 49
13.8%
- 49
13.8%
1 44
12.4%
2 36
10.1%
8 36
10.1%
6 23
6.5%
7 22
 
6.2%
3 17
 
4.8%
9 15
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 356
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 55
15.4%
5 49
13.8%
- 49
13.8%
1 44
12.4%
2 36
10.1%
8 36
10.1%
6 23
6.5%
7 22
 
6.2%
3 17
 
4.8%
9 15
 
4.2%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)54.5%
Missing28
Missing (%)71.8%
Infinite0
Infinite (%)0.0%
Mean41.399091
Minimum0
Maximum111
Zeros5
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-17T01:57:14.439069image/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
2024-04-17T01:57:14.535642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 5
 
12.8%
111.0 2
 
5.1%
70.0 1
 
2.6%
18.0 1
 
2.6%
82.36 1
 
2.6%
63.03 1
 
2.6%
(Missing) 28
71.8%
ValueCountFrequency (%)
0.0 5
12.8%
18.0 1
 
2.6%
63.03 1
 
2.6%
70.0 1
 
2.6%
82.36 1
 
2.6%
111.0 2
 
5.1%
ValueCountFrequency (%)
111.0 2
 
5.1%
82.36 1
 
2.6%
70.0 1
 
2.6%
63.03 1
 
2.6%
18.0 1
 
2.6%
0.0 5
12.8%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

소재지전체주소
Text

MISSING 

Distinct35
Distinct (%)92.1%
Missing1
Missing (%)2.6%
Memory size444.0 B
2024-04-17T01:57:14.765065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length31.5
Mean length25.684211
Min length19

Characters and Unicode

Total characters976
Distinct characters126
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

Unique32 ?
Unique (%)84.2%

Sample

1st row부산광역시 기장군 정관읍 예림리 498-1
2nd row부산광역시 사상구 괘법동 531-2번지
3rd row부산광역시 연제구 연산동 578-6
4th row부산광역시 연제구 연산동 2123-12번지
5th row부산광역시 연제구 연산동 418-3번지
ValueCountFrequency (%)
부산광역시 38
 
21.3%
해운대구 7
 
3.9%
동래구 7
 
3.9%
부산진구 5
 
2.8%
안락동 4
 
2.2%
금정구 4
 
2.2%
사하구 3
 
1.7%
하단동 3
 
1.7%
1157-10번지 3
 
1.7%
재송동 3
 
1.7%
Other values (86) 101
56.7%
2024-04-17T01:57:15.140582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
140
 
14.3%
1 53
 
5.4%
산 49
 
5.0%
부 49
 
5.0%
동 48
 
4.9%
시 38
 
3.9%
광 38
 
3.9%
역 38
 
3.9%
구 37
 
3.8%
- 34
 
3.5%
Other values (116) 452
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 605
62.0%
Decimal Number 195
 
20.0%
Space Separator 140
 
14.3%
Dash Punctuation 34
 
3.5%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 49
 
8.1%
부 49
 
8.1%
동 48
 
7.9%
시 38
 
6.3%
광 38
 
6.3%
역 38
 
6.3%
구 37
 
6.1%
지 31
 
5.1%
번 29
 
4.8%
대 15
 
2.5%
Other values (102) 233
38.5%
Decimal Number
ValueCountFrequency (%)
1 53
27.2%
2 28
14.4%
3 23
11.8%
4 20
 
10.3%
0 18
 
9.2%
5 16
 
8.2%
6 12
 
6.2%
7 10
 
5.1%
8 9
 
4.6%
9 6
 
3.1%
Space Separator
ValueCountFrequency (%)
140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 605
62.0%
Common 371
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 49
 
8.1%
부 49
 
8.1%
동 48
 
7.9%
시 38
 
6.3%
광 38
 
6.3%
역 38
 
6.3%
구 37
 
6.1%
지 31
 
5.1%
번 29
 
4.8%
대 15
 
2.5%
Other values (102) 233
38.5%
Common
ValueCountFrequency (%)
140
37.7%
1 53
 
14.3%
- 34
 
9.2%
2 28
 
7.5%
3 23
 
6.2%
4 20
 
5.4%
0 18
 
4.9%
5 16
 
4.3%
6 12
 
3.2%
7 10
 
2.7%
Other values (4) 17
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 605
62.0%
ASCII 371
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
140
37.7%
1 53
 
14.3%
- 34
 
9.2%
2 28
 
7.5%
3 23
 
6.2%
4 20
 
5.4%
0 18
 
4.9%
5 16
 
4.3%
6 12
 
3.2%
7 10
 
2.7%
Other values (4) 17
 
4.6%
Hangul
ValueCountFrequency (%)
산 49
 
8.1%
부 49
 
8.1%
동 48
 
7.9%
시 38
 
6.3%
광 38
 
6.3%
역 38
 
6.3%
구 37
 
6.1%
지 31
 
5.1%
번 29
 
4.8%
대 15
 
2.5%
Other values (102) 233
38.5%

도로명전체주소
Text

Distinct35
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-04-17T01:57:15.437337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length40
Mean length32.128205
Min length21

Characters and Unicode

Total characters1253
Distinct characters157
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

Unique32 ?
Unique (%)82.1%

Sample

1st row부산광역시 기장군 정관읍 예림1로 35
2nd row부산광역시 사상구 광장로 17 (괘법동)
3rd row부산광역시 연제구 중앙대로 1154 (연산동)
4th row부산광역시 연제구 연수로225번길 15 (연산동)
5th row부산광역시 연제구 과정로 179 (연산동)
ValueCountFrequency (%)
부산광역시 39
 
16.7%
동래구 7
 
3.0%
해운대구 7
 
3.0%
부산진구 5
 
2.1%
안락동 4
 
1.7%
금정구 4
 
1.7%
연제구 3
 
1.3%
하신번영로 3
 
1.3%
407 3
 
1.3%
402호 3
 
1.3%
Other values (128) 155
66.5%
2024-04-17T01:57:15.866915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
194
 
15.5%
동 55
 
4.4%
산 53
 
4.2%
부 52
 
4.2%
광 40
 
3.2%
시 40
 
3.2%
1 40
 
3.2%
역 39
 
3.1%
구 39
 
3.1%
로 39
 
3.1%
Other values (147) 662
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 750
59.9%
Decimal Number 201
 
16.0%
Space Separator 194
 
15.5%
Close Punctuation 38
 
3.0%
Open Punctuation 38
 
3.0%
Other Punctuation 24
 
1.9%
Dash Punctuation 4
 
0.3%
Uppercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 55
 
7.3%
산 53
 
7.1%
부 52
 
6.9%
광 40
 
5.3%
시 40
 
5.3%
역 39
 
5.2%
구 39
 
5.2%
로 39
 
5.2%
대 26
 
3.5%
번 19
 
2.5%
Other values (128) 348
46.4%
Decimal Number
ValueCountFrequency (%)
1 40
19.9%
2 27
13.4%
0 26
12.9%
3 25
12.4%
4 24
11.9%
7 18
9.0%
6 12
 
6.0%
9 12
 
6.0%
5 11
 
5.5%
8 6
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
25.0%
E 1
25.0%
P 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
194
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 750
59.9%
Common 499
39.8%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 55
 
7.3%
산 53
 
7.1%
부 52
 
6.9%
광 40
 
5.3%
시 40
 
5.3%
역 39
 
5.2%
구 39
 
5.2%
로 39
 
5.2%
대 26
 
3.5%
번 19
 
2.5%
Other values (128) 348
46.4%
Common
ValueCountFrequency (%)
194
38.9%
1 40
 
8.0%
) 38
 
7.6%
( 38
 
7.6%
2 27
 
5.4%
0 26
 
5.2%
3 25
 
5.0%
, 24
 
4.8%
4 24
 
4.8%
7 18
 
3.6%
Other values (5) 45
 
9.0%
Latin
ValueCountFrequency (%)
C 1
25.0%
E 1
25.0%
P 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 750
59.9%
ASCII 503
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
194
38.6%
1 40
 
8.0%
) 38
 
7.6%
( 38
 
7.6%
2 27
 
5.4%
0 26
 
5.2%
3 25
 
5.0%
, 24
 
4.8%
4 24
 
4.8%
7 18
 
3.6%
Other values (9) 49
 
9.7%
Hangul
ValueCountFrequency (%)
동 55
 
7.3%
산 53
 
7.1%
부 52
 
6.9%
광 40
 
5.3%
시 40
 
5.3%
역 39
 
5.2%
구 39
 
5.2%
로 39
 
5.2%
대 26
 
3.5%
번 19
 
2.5%
Other values (128) 348
46.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)89.5%
Missing1
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean47781
Minimum46020
Maximum49301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-17T01:57:15.993806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46020
5-th percentile46237.55
Q147271
median47853.5
Q348074.25
95-th percentile49301
Maximum49301
Range3281
Interquartile range (IQR)803.25

Descriptive statistics

Standard deviation910.84003
Coefficient of variation (CV)0.019062808
Kurtosis-0.50923433
Mean47781
Median Absolute Deviation (MAD)577.5
Skewness-0.14168928
Sum1815678
Variance829629.57
MonotonicityNot monotonic
2024-04-17T01:57:16.130233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
49301 3
 
7.7%
47791 2
 
5.1%
48059 2
 
5.1%
46020 1
 
2.6%
48742 1
 
2.6%
47905 1
 
2.6%
47266 1
 
2.6%
47292 1
 
2.6%
47265 1
 
2.6%
47122 1
 
2.6%
Other values (24) 24
61.5%
ValueCountFrequency (%)
46020 1
2.6%
46218 1
2.6%
46241 1
2.6%
46279 1
2.6%
46328 1
2.6%
46721 1
2.6%
46722 1
2.6%
47122 1
2.6%
47265 1
2.6%
47266 1
2.6%
ValueCountFrequency (%)
49301 3
7.7%
49223 1
 
2.6%
48937 1
 
2.6%
48924 1
 
2.6%
48742 1
 
2.6%
48729 1
 
2.6%
48513 1
 
2.6%
48079 1
 
2.6%
48060 1
 
2.6%
48059 2
5.1%

사업장명
Text

Distinct34
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-04-17T01:57:16.335157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length11
Mean length8.4102564
Min length4

Characters and Unicode

Total characters328
Distinct characters111
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

Unique30 ?
Unique (%)76.9%

Sample

1st row(주)효심로얄
2nd row쿨펫동물병원
3rd row폴리파크 연산점
4th row주식회사 앨버트코리아
5th row다우메디랩
ValueCountFrequency (%)
주식회사 5
 
8.6%
폴리파크 4
 
6.9%
주)진바이오사이언스 3
 
5.2%
디에이알 2
 
3.4%
앨버트코리아 2
 
3.4%
벳 2
 
3.4%
주)에스엔에스 2
 
3.4%
연구소 1
 
1.7%
덴트 1
 
1.7%
서면점 1
 
1.7%
Other values (35) 35
60.3%
2024-04-17T01:57:16.657434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 24
 
7.3%
19
 
5.8%
주 17
 
5.2%
( 13
 
4.0%
) 13
 
4.0%
스 13
 
4.0%
사 9
 
2.7%
디 9
 
2.7%
에 8
 
2.4%
리 7
 
2.1%
Other values (101) 196
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 273
83.2%
Space Separator 19
 
5.8%
Open Punctuation 13
 
4.0%
Close Punctuation 13
 
4.0%
Uppercase Letter 9
 
2.7%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 24
 
8.8%
주 17
 
6.2%
스 13
 
4.8%
사 9
 
3.3%
디 9
 
3.3%
에 8
 
2.9%
리 7
 
2.6%
아 7
 
2.6%
바 6
 
2.2%
동 6
 
2.2%
Other values (90) 167
61.2%
Uppercase Letter
ValueCountFrequency (%)
L 2
22.2%
I 2
22.2%
N 1
11.1%
U 1
11.1%
C 1
11.1%
D 1
11.1%
E 1
11.1%
Space Separator
ValueCountFrequency (%)
19
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 273
83.2%
Common 46
 
14.0%
Latin 9
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 24
 
8.8%
주 17
 
6.2%
스 13
 
4.8%
사 9
 
3.3%
디 9
 
3.3%
에 8
 
2.9%
리 7
 
2.6%
아 7
 
2.6%
바 6
 
2.2%
동 6
 
2.2%
Other values (90) 167
61.2%
Latin
ValueCountFrequency (%)
L 2
22.2%
I 2
22.2%
N 1
11.1%
U 1
11.1%
C 1
11.1%
D 1
11.1%
E 1
11.1%
Common
ValueCountFrequency (%)
19
41.3%
( 13
28.3%
) 13
28.3%
, 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 273
83.2%
ASCII 55
 
16.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 24
 
8.8%
주 17
 
6.2%
스 13
 
4.8%
사 9
 
3.3%
디 9
 
3.3%
에 8
 
2.9%
리 7
 
2.6%
아 7
 
2.6%
바 6
 
2.2%
동 6
 
2.2%
Other values (90) 167
61.2%
ASCII
ValueCountFrequency (%)
19
34.5%
( 13
23.6%
) 13
23.6%
L 2
 
3.6%
I 2
 
3.6%
, 1
 
1.8%
N 1
 
1.8%
U 1
 
1.8%
C 1
 
1.8%
D 1
 
1.8%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0187245 × 1013
Minimum2.0130702 × 1013
Maximum2.0210319 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-17T01:57:16.782361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0130702 × 1013
5-th percentile2.0139474 × 1013
Q12.0180812 × 1013
median2.0200116 × 1013
Q32.0200613 × 1013
95-th percentile2.0210144 × 1013
Maximum2.0210319 × 1013
Range7.9617044 × 1010
Interquartile range (IQR)1.9800999 × 1010

Descriptive statistics

Standard deviation2.2916197 × 1010
Coefficient of variation (CV)0.001135182
Kurtosis0.71231511
Mean2.0187245 × 1013
Median Absolute Deviation (MAD)9.5020317 × 109
Skewness-1.3388198
Sum7.8730254 × 1014
Variance5.2515211 × 1020
MonotonicityNot monotonic
2024-04-17T01:57:16.907188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20200908162255 1
 
2.6%
20130702170210 1
 
2.6%
20200525114044 1
 
2.6%
20200414155056 1
 
2.6%
20200402085431 1
 
2.6%
20210319101622 1
 
2.6%
20190305110821 1
 
2.6%
20210104091449 1
 
2.6%
20180808102417 1
 
2.6%
20160905161916 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
20130702170210 1
2.6%
20131014131219 1
2.6%
20140414102254 1
2.6%
20141224142458 1
2.6%
20150714102619 1
2.6%
20150914154015 1
2.6%
20160905161916 1
2.6%
20171228091436 1
2.6%
20180405181852 1
2.6%
20180808102417 1
2.6%
ValueCountFrequency (%)
20210319213950 1
2.6%
20210319101622 1
2.6%
20210125090811 1
2.6%
20210113111806 1
2.6%
20210104091449 1
2.6%
20201124093126 1
2.6%
20200924144829 1
2.6%
20200908162255 1
2.6%
20200826142357 1
2.6%
20200615102735 1
2.6%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
I
36 
U
 
3

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 36
92.3%
U 3
 
7.7%

Length

2024-04-17T01:57:17.038800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:17.130751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 36
92.3%
u 3
 
7.7%

데이터갱신일자
Date

Distinct27
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2018-08-31 23:59:59
Maximum2021-03-21 02:40:00
2024-04-17T01:57:17.226159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T01:57:17.342188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

좌표정보(x)
Real number (ℝ)

Distinct36
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean388493.29
Minimum377106.28
Maximum400334.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-17T01:57:17.456196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum377106.28
5-th percentile378578.76
Q1385677.82
median389314.66
Q3391847.98
95-th percentile396040.02
Maximum400334.68
Range23228.394
Interquartile range (IQR)6170.1557

Descriptive statistics

Standard deviation5595.5789
Coefficient of variation (CV)0.014403283
Kurtosis-0.14461439
Mean388493.29
Median Absolute Deviation (MAD)2834.2233
Skewness-0.3931551
Sum15151238
Variance31310503
MonotonicityNot monotonic
2024-04-17T01:57:17.570424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
378644.397589143 3
 
7.7%
393607.260373715 2
 
5.1%
388188.345022103 1
 
2.6%
391850.439738055 1
 
2.6%
392115.506949839 1
 
2.6%
383907.918310839 1
 
2.6%
387825.371675288 1
 
2.6%
384124.045142266 1
 
2.6%
387131.747038663 1
 
2.6%
400334.677792111 1
 
2.6%
Other values (26) 26
66.7%
ValueCountFrequency (%)
377106.283988524 1
 
2.6%
377988.03993089 1
 
2.6%
378644.397589143 3
7.7%
380225.635401772 1
 
2.6%
383907.918310839 1
 
2.6%
384124.045142266 1
 
2.6%
384134.718019026 1
 
2.6%
385617.137705097 1
 
2.6%
385738.507769195 1
 
2.6%
386480.438778908 1
 
2.6%
ValueCountFrequency (%)
400334.677792111 1
2.6%
398169.407760773 1
2.6%
395803.424089828 1
2.6%
394209.294344881 1
2.6%
393607.260373715 2
5.1%
393384.295224619 1
2.6%
393127.433890718 1
2.6%
392115.506949839 1
2.6%
391850.439738055 1
2.6%
391845.517142741 1
2.6%

좌표정보(y)
Real number (ℝ)

Distinct36
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188347.91
Minimum180208.34
Maximum205187.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-17T01:57:17.680537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum180208.34
5-th percentile180802.08
Q1185725.43
median188182.3
Q3190670.14
95-th percentile195175.35
Maximum205187.78
Range24979.444
Interquartile range (IQR)4944.7073

Descriptive statistics

Standard deviation5178.5894
Coefficient of variation (CV)0.027494806
Kurtosis1.872873
Mean188347.91
Median Absolute Deviation (MAD)2487.5164
Skewness0.83723178
Sum7345568.6
Variance26817788
MonotonicityNot monotonic
2024-04-17T01:57:17.795906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
181572.854733243 3
 
7.7%
188408.076687691 2
 
5.1%
184059.516935515 1
 
2.6%
190586.187850132 1
 
2.6%
189982.935614282 1
 
2.6%
185694.785691809 1
 
2.6%
186103.728712915 1
 
2.6%
185756.084255068 1
 
2.6%
188182.302111505 1
 
2.6%
205187.780445372 1
 
2.6%
Other values (26) 26
66.7%
ValueCountFrequency (%)
180208.336035865 1
 
2.6%
180654.377993508 1
 
2.6%
180818.494927285 1
 
2.6%
181572.854733243 3
7.7%
182596.053419147 1
 
2.6%
183300.505021436 1
 
2.6%
184059.516935515 1
 
2.6%
185694.785691809 1
 
2.6%
185756.084255068 1
 
2.6%
185925.409482326 1
 
2.6%
ValueCountFrequency (%)
205187.780445372 1
2.6%
199298.672890002 1
2.6%
194717.207744519 1
2.6%
194669.898821687 1
2.6%
194263.188438189 1
2.6%
192497.046145003 1
2.6%
191472.120146392 1
2.6%
191440.874252037 1
2.6%
191073.736445776 1
2.6%
190739.244977142 1
2.6%

업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
동물용의료용구판매업
39 

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 39
100.0%

Length

2024-04-17T01:57:17.902143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:17.985343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 39
100.0%

상세업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
000
32 
L00
7 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 32
82.1%
L00 7
 
17.9%

Length

2024-04-17T01:57:18.067913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:57:18.155226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 32
82.1%
l00 7
 
17.9%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업무구분명상세업무구분명권리주체일련번호총종업원수Unnamed: 32
01동물용의료용구판매업02_03_03_P340000034000000132020000120200908<NA>1영업/정상0정상<NA><NA><NA><NA>0517282960<NA><NA>부산광역시 기장군 정관읍 예림리 498-1부산광역시 기장군 정관읍 예림1로 3546020(주)효심로얄20200908162255I2020-09-16 00:23:12.0<NA>400334.677792205187.780445동물용의료용구판매업<NA>000<NA><NA>
12동물용의료용구판매업02_03_03_P339000033900000132009000120090914<NA>1영업/정상0정상<NA><NA><NA><NA>312-75750.0<NA>부산광역시 사상구 괘법동 531-2번지부산광역시 사상구 광장로 17 (괘법동)<NA>쿨펫동물병원20130702170210I2018-08-31 23:59:59.0<NA>380225.635402186791.519407동물용의료용구판매업<NA>000<NA><NA>
23동물용의료용구판매업02_03_03_P337000033700000132021000120210113<NA>1영업/정상0정상<NA><NA><NA><NA>051-862-5678<NA><NA>부산광역시 연제구 연산동 578-6부산광역시 연제구 중앙대로 1154 (연산동)47519폴리파크 연산점20210113111806I2021-01-15 00:23:04.0<NA>389451.336268189936.478243동물용의료용구판매업<NA>000<NA><NA>
34동물용의료용구판매업02_03_03_P337000033700000132018000120180405<NA>1영업/정상0정상<NA><NA><NA><NA>051-522-1980<NA><NA>부산광역시 연제구 연산동 2123-12번지부산광역시 연제구 연수로225번길 15 (연산동)47594주식회사 앨버트코리아20180405181852I2018-08-31 23:59:59.0<NA>390813.193491188143.408067동물용의료용구판매업<NA>000<NA><NA>
45동물용의료용구판매업02_03_03_P337000033700000132014000120141224<NA>1영업/정상0정상<NA><NA><NA><NA>757-227970.0<NA>부산광역시 연제구 연산동 418-3번지부산광역시 연제구 과정로 179 (연산동)47558다우메디랩20141224142458I2018-08-31 23:59:59.0<NA>391831.872113189612.838837동물용의료용구판매업<NA>000<NA><NA>
56동물용의료용구판매업02_03_03_P336000033600000132020000120200410<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 강서구 대저2동 3138-1번지부산광역시 강서구 유통단지1로 50, 부산티플렉스 204동 102호 (대저2동)46721케이바이오20200410171002I2020-04-12 00:23:22.0<NA>377988.039931187305.367579동물용의료용구판매업<NA>000<NA><NA>
67동물용의료용구판매업02_03_03_P336000033600000132019000120190828<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>부산광역시 강서구 대저2동 3002-3번지부산광역시 강서구 울만로 410-9 (대저2동)46722피앤이바이오20190828160312I2019-08-30 02:22:32.0<NA>377106.283989186995.321148동물용의료용구판매업<NA>000<NA><NA>
78동물용의료용구판매업02_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>L00<NA><NA>
89동물용의료용구판매업02_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>000<NA><NA>
910동물용의료용구판매업02_03_03_P334000033400000132019000220190614<NA>1영업/정상0정상<NA><NA><NA><NA>051-208-3663111.0<NA>부산광역시 사하구 하단동 1157-10번지부산광역시 사하구 하신번영로 407, 402호 (하단동)49301(주)에스엔에스20190614141023I2019-06-16 02:21:13.0<NA>378644.397589181572.854733동물용의료용구판매업<NA>000<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)업무구분명상세업무구분명권리주체일련번호총종업원수Unnamed: 32
2930동물용의료용구판매업02_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>000<NA><NA>
3031동물용의료용구판매업02_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>L00<NA><NA>
3132동물용의료용구판매업02_03_03_P327000032700000132021000120210125<NA>1영업/정상0정상<NA><NA><NA><NA>0512571010<NA><NA>부산광역시 동구 범일동 830-295 삼환오피스텔부산광역시 동구 자성로141번길 11, 삼환오피스텔 1101호 (범일동)48742동일과학상사20210125090811I2021-01-27 00:23:03.0<NA>388188.345022184059.516936동물용의료용구판매업<NA>000<NA><NA>
3233동물용의료용구판매업02_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>000<NA><NA>
3334동물용의료용구판매업02_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>000<NA><NA>
3435동물용의료용구판매업02_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>000<NA><NA>
3536동물용의료용구판매업02_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>000<NA><NA>
3637동물용의료용구판매업02_03_03_P335000033500000132015000220150731<NA>3폐업2폐업20200612<NA><NA><NA><NA><NA><NA>부산광역시 금정구 서동 211-4번지부산광역시 금정구 서동로176번길 23 (서동)46328브릿지메디컬20200615102735U2020-06-17 02:40:00.0<NA>391629.72445192497.046145동물용의료용구판매업<NA>000<NA><NA>
3738동물용의료용구판매업02_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>000<NA><NA>
3839동물용의료용구판매업02_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>000<NA><NA>