Overview

Dataset statistics

Number of variables35
Number of observations314
Missing cells2735
Missing cells (%)24.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory92.7 KiB
Average record size in memory302.4 B

Variable types

Numeric10
Categorical14
Unsupported6
Text4
DateTime1

Dataset

Description2021-01-04
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123026

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
축산업무구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (93.1%)Imbalance
휴업종료일자 is highly imbalanced (94.7%)Imbalance
권리주체일련번호 is highly imbalanced (96.9%)Imbalance
인허가취소일자 has 314 (100.0%) missing valuesMissing
폐업일자 has 200 (63.7%) missing valuesMissing
재개업일자 has 314 (100.0%) missing valuesMissing
소재지전화 has 201 (64.0%) missing valuesMissing
소재지우편번호 has 20 (6.4%) missing valuesMissing
소재지전체주소 has 14 (4.5%) missing valuesMissing
도로명전체주소 has 120 (38.2%) missing valuesMissing
도로명우편번호 has 226 (72.0%) missing valuesMissing
업태구분명 has 314 (100.0%) missing valuesMissing
좌표정보(x) has 35 (11.1%) missing valuesMissing
좌표정보(y) has 35 (11.1%) missing valuesMissing
축산물가공업구분명 has 314 (100.0%) missing valuesMissing
총종업원수 has 314 (100.0%) missing valuesMissing
Unnamed: 34 has 314 (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
재개업일자 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
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 34 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-16 16:52:11.090681
Analysis finished2024-04-16 16:52:11.672545
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct314
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.5
Minimum1
Maximum314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T01:52:11.759725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.65
Q179.25
median157.5
Q3235.75
95-th percentile298.35
Maximum314
Range313
Interquartile range (IQR)156.5

Descriptive statistics

Standard deviation90.788215
Coefficient of variation (CV)0.57643311
Kurtosis-1.2
Mean157.5
Median Absolute Deviation (MAD)78.5
Skewness0
Sum49455
Variance8242.5
MonotonicityStrictly increasing
2024-04-17T01:52:11.978871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
208 1
 
0.3%
215 1
 
0.3%
214 1
 
0.3%
213 1
 
0.3%
212 1
 
0.3%
211 1
 
0.3%
210 1
 
0.3%
209 1
 
0.3%
207 1
 
0.3%
Other values (304) 304
96.8%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
314 1
0.3%
313 1
0.3%
312 1
0.3%
311 1
0.3%
310 1
0.3%
309 1
0.3%
308 1
0.3%
307 1
0.3%
306 1
0.3%
305 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
가축사육업
314 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가축사육업 314
100.0%

Length

2024-04-17T01:52:12.154120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:52:12.605098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가축사육업 314
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
02_04_01_P
314 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02_04_01_P
2nd row02_04_01_P
3rd row02_04_01_P
4th row02_04_01_P
5th row02_04_01_P

Common Values

ValueCountFrequency (%)
02_04_01_P 314
100.0%

Length

2024-04-17T01:52:12.750360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:52:12.886681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_04_01_p 314
100.0%

개방자치단체코드
Categorical

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
3400000
160 
3360000
107 
3350000
19 
3330000
18 
3340000
 
10

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3400000
2nd row3350000
3rd row3350000
4th row3350000
5th row3350000

Common Values

ValueCountFrequency (%)
3400000 160
51.0%
3360000 107
34.1%
3350000 19
 
6.1%
3330000 18
 
5.7%
3340000 10
 
3.2%

Length

2024-04-17T01:52:13.006485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:52:13.133339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3400000 160
51.0%
3360000 107
34.1%
3350000 19
 
6.1%
3330000 18
 
5.7%
3340000 10
 
3.2%

관리번호
Real number (ℝ)

UNIQUE 

Distinct314
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3774204 × 1017
Minimum3.33 × 1017
Maximum3.4 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T01:52:13.267689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.33 × 1017
5-th percentile3.33 × 1017
Q13.36 × 1017
median3.4 × 1017
Q33.4 × 1017
95-th percentile3.4 × 1017
Maximum3.4 × 1017
Range7 × 1015
Interquartile range (IQR)4 × 1015

Descriptive statistics

Standard deviation2.4167315 × 1015
Coefficient of variation (CV)0.0071555544
Kurtosis-1.3791326
Mean3.3774204 × 1017
Median Absolute Deviation (MAD)130048
Skewness-0.35510298
Sum-4.6294634 × 1018
Variance5.8405914 × 1030
MonotonicityNot monotonic
2024-04-17T01:52:13.456611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
340000003320140001 1
 
0.3%
340000003320130015 1
 
0.3%
340000003320050014 1
 
0.3%
340000003320130020 1
 
0.3%
340000003320050004 1
 
0.3%
340000003320080005 1
 
0.3%
340000003320130028 1
 
0.3%
340000003320130027 1
 
0.3%
340000003320130025 1
 
0.3%
336000003320050012 1
 
0.3%
Other values (304) 304
96.8%
ValueCountFrequency (%)
333000003320050001 1
0.3%
333000003320050002 1
0.3%
333000003320050003 1
0.3%
333000003320050004 1
0.3%
333000003320120001 1
0.3%
333000003320140001 1
0.3%
333000003320140002 1
0.3%
333000003320140003 1
0.3%
333000003320140004 1
0.3%
333000003320140005 1
0.3%
ValueCountFrequency (%)
340000003320190002 1
0.3%
340000003320190001 1
0.3%
340000003320180004 1
0.3%
340000003320180003 1
0.3%
340000003320180002 1
0.3%
340000003320180001 1
0.3%
340000003320170003 1
0.3%
340000003320170002 1
0.3%
340000003320170001 1
0.3%
340000003320160001 1
0.3%

인허가일자
Real number (ℝ)

Distinct143
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20095386
Minimum20040521
Maximum20201015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T01:52:13.658235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040521
5-th percentile20050524
Q120051028
median20080624
Q320131128
95-th percentile20170466
Maximum20201015
Range160494
Interquartile range (IQR)80100

Descriptive statistics

Standard deviation44227.313
Coefficient of variation (CV)0.0022008691
Kurtosis-1.1993027
Mean20095386
Median Absolute Deviation (MAD)30100
Skewness0.42327894
Sum6.3099511 × 109
Variance1.9560552 × 109
MonotonicityNot monotonic
2024-04-17T01:52:13.838038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050524 34
 
10.8%
20131128 25
 
8.0%
20140418 21
 
6.7%
20080624 14
 
4.5%
20140618 9
 
2.9%
20130220 7
 
2.2%
20051201 7
 
2.2%
20051117 6
 
1.9%
20051109 6
 
1.9%
20050930 5
 
1.6%
Other values (133) 180
57.3%
ValueCountFrequency (%)
20040521 1
0.3%
20050118 1
0.3%
20050203 1
0.3%
20050215 1
0.3%
20050224 1
0.3%
20050309 1
0.3%
20050310 1
0.3%
20050318 2
0.6%
20050415 2
0.6%
20050422 2
0.6%
ValueCountFrequency (%)
20201015 1
0.3%
20200714 1
0.3%
20200320 1
0.3%
20191202 1
0.3%
20191111 1
0.3%
20190501 1
0.3%
20190123 1
0.3%
20181012 1
0.3%
20180226 1
0.3%
20180222 2
0.6%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing314
Missing (%)100.0%
Memory size2.9 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
1
151 
3
114 
4
45 
2
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
1 151
48.1%
3 114
36.3%
4 45
 
14.3%
2 4
 
1.3%

Length

2024-04-17T01:52:13.976634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:52:14.069587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 151
48.1%
3 114
36.3%
4 45
 
14.3%
2 4
 
1.3%

영업상태명
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
영업/정상
151 
폐업
114 
취소/말소/만료/정지/중지
45 
휴업
 
4

Length

Max length14
Median length5
Mean length5.1624204
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 151
48.1%
폐업 114
36.3%
취소/말소/만료/정지/중지 45
 
14.3%
휴업 4
 
1.3%

Length

2024-04-17T01:52:14.175357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:52:14.304517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 151
48.1%
폐업 114
36.3%
취소/말소/만료/정지/중지 45
 
14.3%
휴업 4
 
1.3%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
151 
2
114 
4
45 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
0 151
48.1%
2 114
36.3%
4 45
 
14.3%
1 4
 
1.3%

Length

2024-04-17T01:52:14.420900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:52:14.518957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 151
48.1%
2 114
36.3%
4 45
 
14.3%
1 4
 
1.3%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
정상
151 
폐업
114 
말소
45 
휴업
 
4

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 151
48.1%
폐업 114
36.3%
말소 45
 
14.3%
휴업 4
 
1.3%

Length

2024-04-17T01:52:14.624324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:52:14.727538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 151
48.1%
폐업 114
36.3%
말소 45
 
14.3%
휴업 4
 
1.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)80.7%
Missing200
Missing (%)63.7%
Infinite0
Infinite (%)0.0%
Mean20154834
Minimum20070426
Maximum20200331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T01:52:14.852537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070426
5-th percentile20071009
Q120140226
median20160712
Q320190488
95-th percentile20200327
Maximum20200331
Range129905
Interquartile range (IQR)50262.75

Descriptive statistics

Standard deviation38699.093
Coefficient of variation (CV)0.0019200899
Kurtosis-0.12979008
Mean20154834
Median Absolute Deviation (MAD)29633.5
Skewness-0.87022936
Sum2.2976511 × 109
Variance1.4976198 × 109
MonotonicityNot monotonic
2024-04-17T01:52:15.021121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200331 5
 
1.6%
20191128 4
 
1.3%
20131125 2
 
0.6%
20200224 2
 
0.6%
20071009 2
 
0.6%
20200210 2
 
0.6%
20100401 2
 
0.6%
20191202 2
 
0.6%
20071204 2
 
0.6%
20150604 2
 
0.6%
Other values (82) 89
28.3%
(Missing) 200
63.7%
ValueCountFrequency (%)
20070426 1
0.3%
20070604 1
0.3%
20070905 1
0.3%
20070906 2
0.6%
20071009 2
0.6%
20071016 1
0.3%
20071204 2
0.6%
20080121 1
0.3%
20080902 1
0.3%
20090107 1
0.3%
ValueCountFrequency (%)
20200331 5
1.6%
20200330 1
 
0.3%
20200326 1
 
0.3%
20200301 1
 
0.3%
20200224 2
 
0.6%
20200210 2
 
0.6%
20200122 1
 
0.3%
20191202 2
 
0.6%
20191128 4
1.3%
20191127 1
 
0.3%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
310 
20191128
 
3
20200325
 
1

Length

Max length8
Median length4
Mean length4.0509554
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 310
98.7%
20191128 3
 
1.0%
20200325 1
 
0.3%

Length

2024-04-17T01:52:15.169516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:52:15.281882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 310
98.7%
20191128 3
 
1.0%
20200325 1
 
0.3%

휴업종료일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
310 
20210630
 
1
20220101
 
1
20221101
 
1
20210501
 
1

Length

Max length8
Median length4
Mean length4.0509554
Min length4

Unique

Unique4 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 310
98.7%
20210630 1
 
0.3%
20220101 1
 
0.3%
20221101 1
 
0.3%
20210501 1
 
0.3%

Length

2024-04-17T01:52:15.392755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:52:15.522376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 310
98.7%
20210630 1
 
0.3%
20220101 1
 
0.3%
20221101 1
 
0.3%
20210501 1
 
0.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing314
Missing (%)100.0%
Memory size2.9 KiB

소재지전화
Text

MISSING 

Distinct112
Distinct (%)99.1%
Missing201
Missing (%)64.0%
Memory size2.6 KiB
2024-04-17T01:52:15.807148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.283186
Min length7

Characters and Unicode

Total characters1162
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

Unique111 ?
Unique (%)98.2%

Sample

1st row582-8128
2nd row11-870-4917
3rd row727-1182
4th row728-3687
5th row722-3338
ValueCountFrequency (%)
727-2386 2
 
1.8%
721-0719 1
 
0.9%
728-5285 1
 
0.9%
051-972-2270 1
 
0.9%
051-973-1136 1
 
0.9%
051-971-1497 1
 
0.9%
051-973-1034 1
 
0.9%
051-973-4079 1
 
0.9%
051-721-4770 1
 
0.9%
721-4710 1
 
0.9%
Other values (102) 102
90.3%
2024-04-17T01:52:16.240084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 177
15.2%
7 165
14.2%
1 153
13.2%
2 130
11.2%
5 122
10.5%
0 118
10.2%
9 74
6.4%
3 70
 
6.0%
8 58
 
5.0%
4 57
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 985
84.8%
Dash Punctuation 177
 
15.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 165
16.8%
1 153
15.5%
2 130
13.2%
5 122
12.4%
0 118
12.0%
9 74
7.5%
3 70
7.1%
8 58
 
5.9%
4 57
 
5.8%
6 38
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 177
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1162
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 177
15.2%
7 165
14.2%
1 153
13.2%
2 130
11.2%
5 122
10.5%
0 118
10.2%
9 74
6.4%
3 70
 
6.0%
8 58
 
5.0%
4 57
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1162
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 177
15.2%
7 165
14.2%
1 153
13.2%
2 130
11.2%
5 122
10.5%
0 118
10.2%
9 74
6.4%
3 70
 
6.0%
8 58
 
5.0%
4 57
 
4.9%

소재지면적
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
182 
<NA>
132 

Length

Max length4
Median length1
Mean length2.2611465
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 182
58.0%
<NA> 132
42.0%

Length

2024-04-17T01:52:16.388349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:52:16.528676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 182
58.0%
na 132
42.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)18.7%
Missing20
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean613887.91
Minimum46002
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T01:52:16.637421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile609420
Q1618232.5
median619871
Q3619913
95-th percentile619962
Maximum619963
Range573961
Interquartile range (IQR)1680.5

Descriptive statistics

Standard deviation47213.768
Coefficient of variation (CV)0.076909428
Kurtosis142.42972
Mean613887.91
Median Absolute Deviation (MAD)92
Skewness-11.935924
Sum1.8048305 × 108
Variance2.2291399 × 109
MonotonicityNot monotonic
2024-04-17T01:52:16.789303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
619951 26
 
8.3%
619871 18
 
5.7%
619872 17
 
5.4%
609420 17
 
5.4%
618804 16
 
5.1%
618141 15
 
4.8%
619953 11
 
3.5%
618806 11
 
3.5%
618802 11
 
3.5%
619912 10
 
3.2%
Other values (45) 142
45.2%
(Missing) 20
 
6.4%
ValueCountFrequency (%)
46002 1
 
0.3%
46709 1
 
0.3%
604041 9
2.9%
604060 1
 
0.3%
609311 1
 
0.3%
609370 1
 
0.3%
609420 17
5.4%
612020 1
 
0.3%
612030 5
 
1.6%
612034 3
 
1.0%
ValueCountFrequency (%)
619963 9
 
2.9%
619962 7
 
2.2%
619961 8
 
2.5%
619953 11
3.5%
619952 7
 
2.2%
619951 26
8.3%
619913 10
 
3.2%
619912 10
 
3.2%
619911 3
 
1.0%
619906 3
 
1.0%

소재지전체주소
Text

MISSING 

Distinct281
Distinct (%)93.7%
Missing14
Missing (%)4.5%
Memory size2.6 KiB
2024-04-17T01:52:17.271513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length51
Mean length24.68
Min length14

Characters and Unicode

Total characters7404
Distinct characters103
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique264 ?
Unique (%)88.0%

Sample

1st row부산광역시 기장군 기장읍 청강리 195번지
2nd row부산광역시 금정구 금성동 484번지
3rd row부산광역시 금정구 금성동 249-3번지
4th row부산광역시 금정구 금성동 428번지
5th row부산광역시 금정구 구서동 56-0번지
ValueCountFrequency (%)
부산광역시 300
20.3%
기장군 160
 
10.8%
강서구 104
 
7.0%
장안읍 50
 
3.4%
철마면 41
 
2.8%
산 34
 
2.3%
대저1동 31
 
2.1%
대저2동 26
 
1.8%
일광면 25
 
1.7%
정관면 23
 
1.6%
Other values (395) 686
46.4%
2024-04-17T01:52:17.731437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1184
 
16.0%
산 342
 
4.6%
광 327
 
4.4%
지 319
 
4.3%
부 300
 
4.1%
역 300
 
4.1%
시 300
 
4.1%
번 288
 
3.9%
1 285
 
3.8%
장 241
 
3.3%
Other values (93) 3518
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4505
60.8%
Decimal Number 1427
 
19.3%
Space Separator 1184
 
16.0%
Dash Punctuation 222
 
3.0%
Close Punctuation 23
 
0.3%
Open Punctuation 23
 
0.3%
Other Punctuation 20
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 342
 
7.6%
광 327
 
7.3%
지 319
 
7.1%
부 300
 
6.7%
역 300
 
6.7%
시 300
 
6.7%
번 288
 
6.4%
장 241
 
5.3%
동 195
 
4.3%
기 187
 
4.2%
Other values (78) 1706
37.9%
Decimal Number
ValueCountFrequency (%)
1 285
20.0%
2 237
16.6%
3 174
12.2%
6 136
9.5%
4 134
9.4%
5 130
9.1%
0 94
 
6.6%
9 93
 
6.5%
8 89
 
6.2%
7 55
 
3.9%
Space Separator
ValueCountFrequency (%)
1184
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 222
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4505
60.8%
Common 2899
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 342
 
7.6%
광 327
 
7.3%
지 319
 
7.1%
부 300
 
6.7%
역 300
 
6.7%
시 300
 
6.7%
번 288
 
6.4%
장 241
 
5.3%
동 195
 
4.3%
기 187
 
4.2%
Other values (78) 1706
37.9%
Common
ValueCountFrequency (%)
1184
40.8%
1 285
 
9.8%
2 237
 
8.2%
- 222
 
7.7%
3 174
 
6.0%
6 136
 
4.7%
4 134
 
4.6%
5 130
 
4.5%
0 94
 
3.2%
9 93
 
3.2%
Other values (5) 210
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4505
60.8%
ASCII 2899
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1184
40.8%
1 285
 
9.8%
2 237
 
8.2%
- 222
 
7.7%
3 174
 
6.0%
6 136
 
4.7%
4 134
 
4.6%
5 130
 
4.5%
0 94
 
3.2%
9 93
 
3.2%
Other values (5) 210
 
7.2%
Hangul
ValueCountFrequency (%)
산 342
 
7.6%
광 327
 
7.3%
지 319
 
7.1%
부 300
 
6.7%
역 300
 
6.7%
시 300
 
6.7%
번 288
 
6.4%
장 241
 
5.3%
동 195
 
4.3%
기 187
 
4.2%
Other values (78) 1706
37.9%

도로명전체주소
Text

MISSING 

Distinct180
Distinct (%)92.8%
Missing120
Missing (%)38.2%
Memory size2.6 KiB
2024-04-17T01:52:18.044273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length48.5
Mean length26.489691
Min length20

Characters and Unicode

Total characters5139
Distinct characters139
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique168 ?
Unique (%)86.6%

Sample

1st row부산광역시 금정구 죽전2길 62-14 (금성동)
2nd row부산광역시 금정구 산성로 405 (금성동)
3rd row부산광역시 기장군 기장읍 안평로33번가길 143-20
4th row부산광역시 기장군 일광면 기장대로 1207
5th row부산광역시 기장군 기장읍 내리길 225
ValueCountFrequency (%)
부산광역시 194
 
19.4%
기장군 99
 
9.9%
강서구 65
 
6.5%
장안읍 29
 
2.9%
철마면 23
 
2.3%
정관면 18
 
1.8%
해운대구 15
 
1.5%
기장읍 14
 
1.4%
일광면 14
 
1.4%
대저2동 13
 
1.3%
Other values (322) 518
51.7%
2024-04-17T01:52:18.482000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
808
 
15.7%
산 216
 
4.2%
광 208
 
4.0%
1 203
 
4.0%
부 194
 
3.8%
역 194
 
3.8%
시 194
 
3.8%
2 165
 
3.2%
장 163
 
3.2%
길 154
 
3.0%
Other values (129) 2640
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2987
58.1%
Decimal Number 989
 
19.2%
Space Separator 808
 
15.7%
Dash Punctuation 119
 
2.3%
Open Punctuation 106
 
2.1%
Close Punctuation 106
 
2.1%
Other Punctuation 24
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 216
 
7.2%
광 208
 
7.0%
부 194
 
6.5%
역 194
 
6.5%
시 194
 
6.5%
장 163
 
5.5%
길 154
 
5.2%
동 143
 
4.8%
기 122
 
4.1%
군 100
 
3.3%
Other values (114) 1299
43.5%
Decimal Number
ValueCountFrequency (%)
1 203
20.5%
2 165
16.7%
3 127
12.8%
4 112
11.3%
5 89
9.0%
7 79
 
8.0%
6 64
 
6.5%
9 57
 
5.8%
8 48
 
4.9%
0 45
 
4.6%
Space Separator
ValueCountFrequency (%)
808
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 119
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2987
58.1%
Common 2152
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 216
 
7.2%
광 208
 
7.0%
부 194
 
6.5%
역 194
 
6.5%
시 194
 
6.5%
장 163
 
5.5%
길 154
 
5.2%
동 143
 
4.8%
기 122
 
4.1%
군 100
 
3.3%
Other values (114) 1299
43.5%
Common
ValueCountFrequency (%)
808
37.5%
1 203
 
9.4%
2 165
 
7.7%
3 127
 
5.9%
- 119
 
5.5%
4 112
 
5.2%
( 106
 
4.9%
) 106
 
4.9%
5 89
 
4.1%
7 79
 
3.7%
Other values (5) 238
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2987
58.1%
ASCII 2152
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
808
37.5%
1 203
 
9.4%
2 165
 
7.7%
3 127
 
5.9%
- 119
 
5.5%
4 112
 
5.2%
( 106
 
4.9%
) 106
 
4.9%
5 89
 
4.1%
7 79
 
3.7%
Other values (5) 238
 
11.1%
Hangul
ValueCountFrequency (%)
산 216
 
7.2%
광 208
 
7.0%
부 194
 
6.5%
역 194
 
6.5%
시 194
 
6.5%
장 163
 
5.5%
길 154
 
5.2%
동 143
 
4.8%
기 122
 
4.1%
군 100
 
3.3%
Other values (114) 1299
43.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)47.7%
Missing226
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean85270.432
Minimum46000
Maximum612823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T01:52:18.602073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46000
5-th percentile46011.1
Q146046.75
median46469
Q346729
95-th percentile612821.25
Maximum612823
Range566823
Interquartile range (IQR)682.25

Descriptive statistics

Standard deviation143523.96
Coefficient of variation (CV)1.6831621
Kurtosis10.387081
Mean85270.432
Median Absolute Deviation (MAD)422
Skewness3.4858004
Sum7503798
Variance2.0599128 × 1010
MonotonicityNot monotonic
2024-04-17T01:52:18.717392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
46051 7
 
2.2%
612823 5
 
1.6%
46708 5
 
1.6%
46028 4
 
1.3%
46029 4
 
1.3%
48066 4
 
1.3%
46030 4
 
1.3%
49478 3
 
1.0%
46723 3
 
1.0%
46709 3
 
1.0%
Other values (32) 46
 
14.6%
(Missing) 226
72.0%
ValueCountFrequency (%)
46000 3
1.0%
46001 1
 
0.3%
46002 1
 
0.3%
46028 4
1.3%
46029 4
1.3%
46030 4
1.3%
46031 1
 
0.3%
46035 1
 
0.3%
46039 1
 
0.3%
46046 2
0.6%
ValueCountFrequency (%)
612823 5
1.6%
612818 1
 
0.3%
49512 1
 
0.3%
49485 1
 
0.3%
49478 3
1.0%
48085 1
 
0.3%
48066 4
1.3%
48002 1
 
0.3%
48001 2
 
0.6%
48000 1
 
0.3%

사업장명
Text

Distinct291
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-17T01:52:18.929662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.5828025
Min length2

Characters and Unicode

Total characters1439
Distinct characters213
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique274 ?
Unique (%)87.3%

Sample

1st row이진건농장
2nd row한영자
3rd row정길목장
4th row김진자
5th row금단농장
ValueCountFrequency (%)
농장 63
 
16.2%
매학농장 5
 
1.3%
대저농장 4
 
1.0%
하늘농장 3
 
0.8%
평강농장 2
 
0.5%
태야농장 2
 
0.5%
리자축산 2
 
0.5%
달산농장 2
 
0.5%
영화농장 2
 
0.5%
원리농장 2
 
0.5%
Other values (293) 301
77.6%
2024-04-17T01:52:19.310272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 255
 
17.7%
농 240
 
16.7%
74
 
5.1%
산 33
 
2.3%
원 32
 
2.2%
김 30
 
2.1%
축 25
 
1.7%
성 22
 
1.5%
정 22
 
1.5%
이 21
 
1.5%
Other values (203) 685
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1364
94.8%
Space Separator 74
 
5.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 255
 
18.7%
농 240
 
17.6%
산 33
 
2.4%
원 32
 
2.3%
김 30
 
2.2%
축 25
 
1.8%
성 22
 
1.6%
정 22
 
1.6%
이 21
 
1.5%
목 21
 
1.5%
Other values (201) 663
48.6%
Space Separator
ValueCountFrequency (%)
74
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1364
94.8%
Common 75
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 255
 
18.7%
농 240
 
17.6%
산 33
 
2.4%
원 32
 
2.3%
김 30
 
2.2%
축 25
 
1.8%
성 22
 
1.6%
정 22
 
1.6%
이 21
 
1.5%
목 21
 
1.5%
Other values (201) 663
48.6%
Common
ValueCountFrequency (%)
74
98.7%
2 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1364
94.8%
ASCII 75
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 255
 
18.7%
농 240
 
17.6%
산 33
 
2.4%
원 32
 
2.3%
김 30
 
2.2%
축 25
 
1.8%
성 22
 
1.6%
정 22
 
1.6%
이 21
 
1.5%
목 21
 
1.5%
Other values (201) 663
48.6%
ASCII
ValueCountFrequency (%)
74
98.7%
2 1
 
1.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct314
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0148489 × 1013
Minimum2.0050415 × 1013
Maximum2.0201015 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T01:52:19.441458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0050415 × 1013
5-th percentile2.0070828 × 1013
Q12.0130906 × 1013
median2.0150625 × 1013
Q32.019035 × 1013
95-th percentile2.0200617 × 1013
Maximum2.0201015 × 1013
Range1.5060001 × 1011
Interquartile range (IQR)5.9443213 × 1010

Descriptive statistics

Standard deviation4.3204954 × 1010
Coefficient of variation (CV)0.0021443273
Kurtosis-0.60763755
Mean2.0148489 × 1013
Median Absolute Deviation (MAD)2.9596058 × 1010
Skewness-0.63346218
Sum6.3266254 × 1015
Variance1.8666681 × 1021
MonotonicityNot monotonic
2024-04-17T01:52:19.567705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20171208131701 1
 
0.3%
20160128091549 1
 
0.3%
20150805102908 1
 
0.3%
20180920173331 1
 
0.3%
20140128110412 1
 
0.3%
20190425102653 1
 
0.3%
20180503170528 1
 
0.3%
20150626094538 1
 
0.3%
20171113171853 1
 
0.3%
20151211103511 1
 
0.3%
Other values (304) 304
96.8%
ValueCountFrequency (%)
20050415091710 1
0.3%
20050524164026 1
0.3%
20050524165151 1
0.3%
20050930131401 1
0.3%
20051214102612 1
0.3%
20051219144357 1
0.3%
20070604151108 1
0.3%
20070816105627 1
0.3%
20070816105719 1
0.3%
20070816105937 1
0.3%
ValueCountFrequency (%)
20201015104425 1
0.3%
20201013101108 1
0.3%
20200819115810 1
0.3%
20200819114555 1
0.3%
20200805200559 1
0.3%
20200716105423 1
0.3%
20200714103423 1
0.3%
20200706104426 1
0.3%
20200702183357 1
0.3%
20200702174309 1
0.3%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
I
234 
U
80 

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 234
74.5%
U 80
 
25.5%

Length

2024-04-17T01:52:19.688675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:52:19.786710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 234
74.5%
u 80
 
25.5%

데이터갱신일자
Date

Distinct51
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2018-08-31 23:59:59
Maximum2020-10-17 00:23:10
2024-04-17T01:52:20.174368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T01:52:20.288313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing314
Missing (%)100.0%
Memory size2.9 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct255
Distinct (%)91.4%
Missing35
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean389745.91
Minimum367594.59
Maximum407439.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T01:52:20.409119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367594.59
5-th percentile372198.43
Q1376881.55
median395087.27
Q3400097.66
95-th percentile405803.26
Maximum407439.48
Range39844.889
Interquartile range (IQR)23216.111

Descriptive statistics

Standard deviation12372.471
Coefficient of variation (CV)0.031744967
Kurtosis-1.5662126
Mean389745.91
Median Absolute Deviation (MAD)9384.9184
Skewness-0.22013631
Sum1.0873911 × 108
Variance1.5307804 × 108
MonotonicityNot monotonic
2024-04-17T01:52:20.537044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
399649.880129538 3
 
1.0%
400532.312105 3
 
1.0%
395087.272068723 3
 
1.0%
405803.262983284 2
 
0.6%
377216.464554862 2
 
0.6%
381273.178048018 2
 
0.6%
376377.089835461 2
 
0.6%
372387.379856038 2
 
0.6%
378481.142782943 2
 
0.6%
379096.391711464 2
 
0.6%
Other values (245) 256
81.5%
(Missing) 35
 
11.1%
ValueCountFrequency (%)
367594.592942875 1
0.3%
367809.492172832 1
0.3%
368678.974309734 1
0.3%
369082.499088846 1
0.3%
369134.78259 1
0.3%
369360.746417 1
0.3%
369795.612221753 1
0.3%
370226.485324 1
0.3%
370584.516800562 1
0.3%
370666.341728019 1
0.3%
ValueCountFrequency (%)
407439.482201202 1
0.3%
407270.094149336 1
0.3%
407075.174158227 1
0.3%
406946.906830735 1
0.3%
406862.680710874 1
0.3%
406420.285443269 1
0.3%
406336.267110133 1
0.3%
406227.942803002 2
0.6%
406101.191096043 1
0.3%
406080.594458643 1
0.3%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct255
Distinct (%)91.4%
Missing35
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean195690.51
Minimum173271.64
Maximum211723.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T01:52:20.668084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173271.64
5-th percentile182923.31
Q1190393.14
median194956.11
Q3202610.71
95-th percentile209945.2
Maximum211723.13
Range38451.491
Interquartile range (IQR)12217.572

Descriptive statistics

Standard deviation8501.0534
Coefficient of variation (CV)0.043441317
Kurtosis-0.56508495
Mean195690.51
Median Absolute Deviation (MAD)6349.0339
Skewness-0.011568147
Sum54597652
Variance72267909
MonotonicityNot monotonic
2024-04-17T01:52:20.796521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194670.0009039 3
 
1.0%
205037.865168 3
 
1.0%
193560.618164728 3
 
1.0%
211388.023059038 2
 
0.6%
193281.743996079 2
 
0.6%
193643.570845188 2
 
0.6%
182923.311142842 2
 
0.6%
183544.822365454 2
 
0.6%
176979.941063897 2
 
0.6%
176401.886480645 2
 
0.6%
Other values (245) 256
81.5%
(Missing) 35
 
11.1%
ValueCountFrequency (%)
173271.637829706 1
0.3%
176050.72647115 1
0.3%
176401.886480645 2
0.6%
176979.941063897 2
0.6%
176993.42476379 2
0.6%
180180.947174267 1
0.3%
180978.958086605 1
0.3%
181069.362943918 1
0.3%
182030.92738896 1
0.3%
182644.336243525 1
0.3%
ValueCountFrequency (%)
211723.12916194 1
0.3%
211719.103603345 1
0.3%
211716.554013234 1
0.3%
211672.801984107 1
0.3%
211622.077291642 1
0.3%
211609.800859166 1
0.3%
211388.023059038 2
0.6%
210986.580120228 1
0.3%
210937.039943032 1
0.3%
210508.219355888 2
0.6%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
가축사육업
314 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가축사육업 314
100.0%

Length

2024-04-17T01:52:20.924759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:52:21.006548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가축사육업 314
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing314
Missing (%)100.0%
Memory size2.9 KiB

축산일련번호
Real number (ℝ)

Distinct161
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.949045
Minimum1
Maximum162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T01:52:21.104389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q118
median57
Q397
95-th percentile145.35
Maximum162
Range161
Interquartile range (IQR)79

Descriptive statistics

Standard deviation45.610631
Coefficient of variation (CV)0.73626044
Kurtosis-0.93961434
Mean61.949045
Median Absolute Deviation (MAD)39
Skewness0.42038346
Sum19452
Variance2080.3297
MonotonicityNot monotonic
2024-04-17T01:52:21.244236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 5
 
1.6%
5 5
 
1.6%
4 5
 
1.6%
1 5
 
1.6%
10 5
 
1.6%
9 5
 
1.6%
7 5
 
1.6%
8 5
 
1.6%
3 4
 
1.3%
14 4
 
1.3%
Other values (151) 266
84.7%
ValueCountFrequency (%)
1 5
1.6%
2 4
1.3%
3 4
1.3%
4 5
1.6%
5 5
1.6%
6 5
1.6%
7 5
1.6%
8 5
1.6%
9 5
1.6%
10 5
1.6%
ValueCountFrequency (%)
162 1
0.3%
161 1
0.3%
160 1
0.3%
159 1
0.3%
158 1
0.3%
157 1
0.3%
156 1
0.3%
155 1
0.3%
154 1
0.3%
153 1
0.3%

권리주체일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
000
313 
L00
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
000 313
99.7%
L00 1
 
0.3%

Length

2024-04-17T01:52:21.368482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:52:21.453808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 313
99.7%
l00 1
 
0.3%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing314
Missing (%)100.0%
Memory size2.9 KiB

주사육업종
Categorical

Distinct10
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
한우
144 
돼지
66 
육계
51 
젖소
20 
오리
 
14
Other values (5)
19 

Length

Max length3
Median length2
Mean length2.0095541
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row한우
2nd row젖소
3rd row젖소
4th row젖소
5th row돼지

Common Values

ValueCountFrequency (%)
한우 144
45.9%
돼지 66
21.0%
육계 51
 
16.2%
젖소 20
 
6.4%
오리 14
 
4.5%
산양 7
 
2.2%
사슴 4
 
1.3%
육우 4
 
1.3%
산란계 3
 
1.0%
염소 1
 
0.3%

Length

2024-04-17T01:52:21.541868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:52:21.646704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한우 144
45.9%
돼지 66
21.0%
육계 51
 
16.2%
젖소 20
 
6.4%
오리 14
 
4.5%
산양 7
 
2.2%
사슴 4
 
1.3%
육우 4
 
1.3%
산란계 3
 
1.0%
염소 1
 
0.3%

Unnamed: 34
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing314
Missing (%)100.0%
Memory size2.9 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수주사육업종Unnamed: 34
01가축사육업02_04_01_P340000034000000332014000120140418<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA><NA>619906부산광역시 기장군 기장읍 청강리 195번지<NA><NA>이진건농장20171208131701I2018-08-31 23:59:59.0<NA>402302.33155194956.105342가축사육업<NA>126000<NA>한우<NA>
12가축사육업02_04_01_P335000033500000332008000920080624<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA>0609420부산광역시 금정구 금성동 484번지부산광역시 금정구 죽전2길 62-14 (금성동)<NA>한영자20140529092130I2018-08-31 23:59:59.0<NA>387237.895272196974.265924가축사육업<NA>10000<NA>젖소<NA>
23가축사육업02_04_01_P335000033500000332008001020080624<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA>0609420부산광역시 금정구 금성동 249-3번지부산광역시 금정구 산성로 405 (금성동)<NA>정길목장20140529092157I2018-08-31 23:59:59.0<NA>386644.745984196641.948937가축사육업<NA>11000<NA>젖소<NA>
34가축사육업02_04_01_P335000033500000332008001220080624<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA>0609420부산광역시 금정구 금성동 428번지<NA><NA>김진자20140529092056I2018-08-31 23:59:59.0<NA>387069.397549196873.506874가축사육업<NA>13000<NA>젖소<NA>
45가축사육업02_04_01_P335000033500000332005000120051013<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>582-81280609311부산광역시 금정구 구서동 56-0번지<NA><NA>금단농장20140526181222I2018-08-31 23:59:59.0<NA><NA><NA>가축사육업<NA>1000<NA>돼지<NA>
56가축사육업02_04_01_P335000033500000332008000120080624<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA>0609420부산광역시 금정구 금성동 848번지<NA><NA>금성농장20140529091230I2018-08-31 23:59:59.0<NA>386966.691669195680.228306가축사육업<NA>2000<NA>한우<NA>
67가축사육업02_04_01_P340000034000000332013001320130227<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA><NA>619912부산광역시 기장군 일광면 삼성리 310번지<NA><NA>한일농장20180131194000I2018-08-31 23:59:59.0<NA>401962.947122198750.867507가축사육업<NA>98000<NA>육계<NA>
78가축사육업02_04_01_P340000034000000332008000720080703<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA>0619903부산광역시 기장군 기장읍 대라리 산 23번지부산광역시 기장군 기장읍 안평로33번가길 143-20<NA>강대진농장20150625093627I2018-08-31 23:59:59.0<NA>399290.304974194753.889039가축사육업<NA>68000<NA>한우<NA>
89가축사육업02_04_01_P340000034000000332005000920050524<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>11-870-49170619912부산광역시 기장군 일광면 삼성리 6-1번지<NA><NA>삼성농장20180131193915I2018-08-31 23:59:59.0<NA>403066.822893198663.923016가축사육업<NA>9000<NA>한우<NA>
910가축사육업02_04_01_P340000034000000332005001020050524<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA><NA>0619913부산광역시 기장군 일광면 원리 44-1번지<NA><NA>원리농장20070828100955I2018-08-31 23:59:59.0<NA><NA><NA>가축사육업<NA>10000<NA>한우<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수주사육업종Unnamed: 34
304305가축사육업02_04_01_P336000033600000332005004520051123<NA>3폐업2폐업20160205<NA><NA><NA>051-271-29470618813부산광역시 강서구 명지동 624-8번지 외 2필지(명지동 624-9, 624-10)<NA><NA>명지목장20160205094122I2018-08-31 23:59:59.0<NA>374645.773457183364.744776가축사육업<NA>48000<NA>젖소<NA>
305306가축사육업02_04_01_P336000033600000332005004620051123<NA>3폐업2폐업20141007<NA><NA><NA>051-972-18590618141부산광역시 강서구 대저1동 1023-3번지부산광역시 강서구 평강로434번길 109 (대저1동)<NA>대청농원20141007172418I2018-08-31 23:59:59.0<NA>377585.533559193292.853067가축사육업<NA>49000<NA>한우<NA>
306307가축사육업02_04_01_P340000034000000332007000820070625<NA>3폐업2폐업20150707<NA><NA><NA>051-727-26740619953부산광역시 기장군 장안읍 덕선리 180-1번지<NA><NA>김진원농장20150805160422I2018-08-31 23:59:59.0<NA>402432.7503205905.95246가축사육업<NA>56000<NA>한우<NA>
307308가축사육업02_04_01_P340000034000000332007000920070727<NA>3폐업2폐업20140619<NA><NA><NA>051-721-40490619902부산광역시 기장군 기장읍 내리 166번지부산광역시 기장군 기장읍 소정안길 92<NA>용소농장20140620110144I2018-08-31 23:59:59.0<NA>400415.825387191868.273166가축사육업<NA>57000<NA>돼지<NA>
308309가축사육업02_04_01_P340000034000000332007001120071217<NA>3폐업2폐업20150604<NA><NA><NA><NA>0619951부산광역시 기장군 장안읍 명례리 32번지부산광역시 기장군 장안읍 구운달길 70<NA>영화농장20150626094139I2018-08-31 23:59:59.0<NA>405803.262983211388.023059가축사육업<NA>59000<NA>한우<NA>
309310가축사육업02_04_01_P336000033600000332017000220170110<NA>3폐업2폐업20191128<NA><NA><NA><NA><NA><NA>부산광역시 강서구 생곡동 16-16번지<NA><NA>최학환20191128144003U2019-11-30 02:40:00.0<NA>372387.379856183544.822365가축사육업<NA>103000<NA>한우<NA>
310311가축사육업02_04_01_P336000033600000332015000320150331<NA>2휴업1휴업<NA>2020032520210630<NA><NA><NA>618816부산광역시 강서구 송정동 563번지<NA><NA>청솔농장20200325175634U2020-03-27 02:40:00.0<NA>368678.97431180978.958087가축사육업<NA>92000<NA>육계<NA>
311312가축사육업02_04_01_P336000033600000332005001720050618<NA>2휴업1휴업<NA>2019112820220101<NA>051-971-22380618806부산광역시 강서구 대저1동 1033-27번지 외3필지(대저1동 1043-26, 1043-27, 1043-33)<NA><NA>출우농장20191128144427U2019-11-30 02:40:00.0<NA>376993.9069193350.374481가축사육업<NA>20000<NA>돼지<NA>
312313가축사육업02_04_01_P336000033600000332005001820050618<NA>2휴업1휴업<NA>2019112820221101<NA><NA>0618806부산광역시 강서구 대저1동 1034-3번지<NA><NA>우일축산20191227163004U2019-12-29 02:40:00.0<NA>377216.464555193281.743996가축사육업<NA>21000<NA>돼지<NA>
313314가축사육업02_04_01_P336000033600000332005003720051028<NA>2휴업1휴업<NA>2019112820210501<NA>051-971-57610618141부산광역시 강서구 대저1동 999-2번지 외 1필지(대저1동 999-29)부산광역시 강서구 평강로434번길 155 (대저1동,외 1필지(대저1동 999-29))<NA>대저오리농장20191128145029U2019-11-30 02:40:00.0<NA>377862.342704193281.961422가축사육업<NA>40000<NA>오리<NA>