Overview

Dataset statistics

Number of variables34
Number of observations510
Missing cells3481
Missing cells (%)20.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory145.6 KiB
Average record size in memory292.3 B

Variable types

Numeric13
Categorical13
Unsupported3
Text4
DateTime1

Dataset

Description2021-01-04
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123098

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
축산업무구분명 has constant value ""Constant
개방자치단체코드 is highly imbalanced (96.5%)Imbalance
재개업일자 is highly imbalanced (96.9%)Imbalance
업태구분명 is highly imbalanced (79.2%)Imbalance
축산물가공업구분명 is highly imbalanced (79.2%)Imbalance
인허가취소일자 has 510 (100.0%) missing valuesMissing
폐업일자 has 282 (55.3%) missing valuesMissing
휴업시작일자 has 490 (96.1%) missing valuesMissing
휴업종료일자 has 501 (98.2%) missing valuesMissing
소재지전화 has 137 (26.9%) missing valuesMissing
소재지면적 has 6 (1.2%) missing valuesMissing
소재지우편번호 has 297 (58.2%) missing valuesMissing
도로명전체주소 has 7 (1.4%) missing valuesMissing
도로명우편번호 has 189 (37.1%) missing valuesMissing
좌표정보(x) has 19 (3.7%) missing valuesMissing
좌표정보(y) has 19 (3.7%) missing valuesMissing
축산일련번호 has 510 (100.0%) missing valuesMissing
Unnamed: 33 has 510 (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
축산일련번호 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 19 (3.7%) zerosZeros
총종업원수 has 398 (78.0%) zerosZeros

Reproduction

Analysis started2024-04-18 06:19:25.635756
Analysis finished2024-04-18 06:19:26.314526
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct510
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean255.5
Minimum1
Maximum510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T15:19:26.388443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.45
Q1128.25
median255.5
Q3382.75
95-th percentile484.55
Maximum510
Range509
Interquartile range (IQR)254.5

Descriptive statistics

Standard deviation147.36859
Coefficient of variation (CV)0.57678507
Kurtosis-1.2
Mean255.5
Median Absolute Deviation (MAD)127.5
Skewness0
Sum130305
Variance21717.5
MonotonicityStrictly increasing
2024-04-18T15:19:26.529882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
337 1
 
0.2%
350 1
 
0.2%
349 1
 
0.2%
348 1
 
0.2%
347 1
 
0.2%
346 1
 
0.2%
345 1
 
0.2%
344 1
 
0.2%
343 1
 
0.2%
Other values (500) 500
98.0%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
510 1
0.2%
509 1
0.2%
508 1
0.2%
507 1
0.2%
506 1
0.2%
505 1
0.2%
504 1
0.2%
503 1
0.2%
502 1
0.2%
501 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
축산가공업
510 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산가공업 510
100.0%

Length

2024-04-18T15:19:26.663893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:19:26.758480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산가공업 510
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
07_22_05_P
510 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_05_P
2nd row07_22_05_P
3rd row07_22_05_P
4th row07_22_05_P
5th row07_22_05_P

Common Values

ValueCountFrequency (%)
07_22_05_P 510
100.0%

Length

2024-04-18T15:19:26.868526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:19:26.970678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_05_p 510
100.0%

개방자치단체코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
6260000
506 
3340000
 
1
3350000
 
1
3400000
 
1
3380000
 
1

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique4 ?
Unique (%)0.8%

Sample

1st row6260000
2nd row6260000
3rd row6260000
4th row6260000
5th row6260000

Common Values

ValueCountFrequency (%)
6260000 506
99.2%
3340000 1
 
0.2%
3350000 1
 
0.2%
3400000 1
 
0.2%
3380000 1
 
0.2%

Length

2024-04-18T15:19:27.073190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:19:27.174682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 506
99.2%
3340000 1
 
0.2%
3350000 1
 
0.2%
3400000 1
 
0.2%
3380000 1
 
0.2%

관리번호
Real number (ℝ)

UNIQUE 

Distinct510
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2373137 × 1017
Minimum3.34 × 1017
Maximum6.26 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T15:19:27.289850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.34 × 1017
5-th percentile6.26 × 1017
Q16.26 × 1017
median6.26 × 1017
Q36.26 × 1017
95-th percentile6.26 × 1017
Maximum6.26 × 1017
Range2.92 × 1017
Interquartile range (IQR)80000

Descriptive statistics

Standard deviation2.5541684 × 1016
Coefficient of variation (CV)0.040949814
Kurtosis123.76444
Mean6.2373137 × 1017
Median Absolute Deviation (MAD)40064
Skewness-11.192421
Sum4.508351 × 1018
Variance6.523776 × 1032
MonotonicityNot monotonic
2024-04-18T15:19:27.442027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
626000000420200040 1
 
0.2%
626000000420130022 1
 
0.2%
626000000420120022 1
 
0.2%
626000000420120023 1
 
0.2%
626000000420120024 1
 
0.2%
626000000420120027 1
 
0.2%
626000000420130002 1
 
0.2%
626000000420130005 1
 
0.2%
626000000420130008 1
 
0.2%
626000000420130009 1
 
0.2%
Other values (500) 500
98.0%
ValueCountFrequency (%)
334000000420110001 1
0.2%
335000000420060001 1
0.2%
338000000420040001 1
0.2%
340000000420040001 1
0.2%
626000000419710001 1
0.2%
626000000419720001 1
0.2%
626000000419840001 1
0.2%
626000000419890001 1
0.2%
626000000419890002 1
0.2%
626000000419920001 1
0.2%
ValueCountFrequency (%)
626000000420200040 1
0.2%
626000000420200039 1
0.2%
626000000420200038 1
0.2%
626000000420200037 1
0.2%
626000000420200036 1
0.2%
626000000420200035 1
0.2%
626000000420200034 1
0.2%
626000000420200033 1
0.2%
626000000420200032 1
0.2%
626000000420200031 1
0.2%

인허가일자
Real number (ℝ)

Distinct463
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20116666
Minimum19710504
Maximum20201224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T15:19:27.609983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19710504
5-th percentile20000121
Q120080419
median20130765
Q320161196
95-th percentile20200514
Maximum20201224
Range490720
Interquartile range (IQR)80777.25

Descriptive statistics

Standard deviation68773.046
Coefficient of variation (CV)0.0034187099
Kurtosis5.2473877
Mean20116666
Median Absolute Deviation (MAD)40106.5
Skewness-1.6365728
Sum1.02595 × 1010
Variance4.7297319 × 109
MonotonicityNot monotonic
2024-04-18T15:19:27.759313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20060517 3
 
0.6%
20140228 3
 
0.6%
20200717 3
 
0.6%
20130220 2
 
0.4%
20070822 2
 
0.4%
20070820 2
 
0.4%
20120906 2
 
0.4%
20171124 2
 
0.4%
20120511 2
 
0.4%
20131002 2
 
0.4%
Other values (453) 487
95.5%
ValueCountFrequency (%)
19710504 1
0.2%
19721213 1
0.2%
19790712 1
0.2%
19840207 1
0.2%
19890414 1
0.2%
19890922 1
0.2%
19921228 1
0.2%
19940502 1
0.2%
19940509 1
0.2%
19940519 1
0.2%
ValueCountFrequency (%)
20201224 1
0.2%
20201223 1
0.2%
20201210 1
0.2%
20201204 1
0.2%
20201202 1
0.2%
20201130 2
0.4%
20201123 1
0.2%
20201027 1
0.2%
20201005 2
0.4%
20200915 1
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing510
Missing (%)100.0%
Memory size4.6 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
1
254 
3
227 
2
 
15
4
 
14

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 (%)
1 254
49.8%
3 227
44.5%
2 15
 
2.9%
4 14
 
2.7%

Length

2024-04-18T15:19:27.891126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:19:27.997854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 254
49.8%
3 227
44.5%
2 15
 
2.9%
4 14
 
2.7%

영업상태명
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
영업/정상
254 
폐업
227 
휴업
 
15
취소/말소/만료/정지/중지
 
14

Length

Max length14
Median length5
Mean length3.8235294
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 254
49.8%
폐업 227
44.5%
휴업 15
 
2.9%
취소/말소/만료/정지/중지 14
 
2.7%

Length

2024-04-18T15:19:28.111434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:19:28.229229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 254
49.8%
폐업 227
44.5%
휴업 15
 
2.9%
취소/말소/만료/정지/중지 14
 
2.7%

상세영업상태코드
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
0
254 
2
227 
1
 
15
3
 
13
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 254
49.8%
2 227
44.5%
1 15
 
2.9%
3 13
 
2.5%
4 1
 
0.2%

Length

2024-04-18T15:19:28.337326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:19:28.459456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 254
49.8%
2 227
44.5%
1 15
 
2.9%
3 13
 
2.5%
4 1
 
0.2%

상세영업상태명
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
정상
254 
폐업
227 
휴업
 
15
인허가취소
 
13
말소
 
1

Length

Max length5
Median length2
Mean length2.0764706
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
정상 254
49.8%
폐업 227
44.5%
휴업 15
 
2.9%
인허가취소 13
 
2.5%
말소 1
 
0.2%

Length

2024-04-18T15:19:28.576846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:19:28.679118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 254
49.8%
폐업 227
44.5%
휴업 15
 
2.9%
인허가취소 13
 
2.5%
말소 1
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct183
Distinct (%)80.3%
Missing282
Missing (%)55.3%
Infinite0
Infinite (%)0.0%
Mean20141626
Minimum20040816
Maximum20201229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T15:19:28.814911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040816
5-th percentile20070365
Q120120206
median20140602
Q320170228
95-th percentile20200782
Maximum20201229
Range160413
Interquartile range (IQR)50022

Descriptive statistics

Standard deviation39051.767
Coefficient of variation (CV)0.0019388587
Kurtosis-0.63798705
Mean20141626
Median Absolute Deviation (MAD)29499.5
Skewness-0.33596424
Sum4.5922907 × 109
Variance1.5250405 × 109
MonotonicityNot monotonic
2024-04-18T15:19:28.986792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140602 16
 
3.1%
20170228 4
 
0.8%
20140304 3
 
0.6%
20130131 3
 
0.6%
20140306 3
 
0.6%
20170227 3
 
0.6%
20160128 3
 
0.6%
20201209 3
 
0.6%
20160229 2
 
0.4%
20120206 2
 
0.4%
Other values (173) 186
36.5%
(Missing) 282
55.3%
ValueCountFrequency (%)
20040816 1
0.2%
20050707 1
0.2%
20070119 1
0.2%
20070213 2
0.4%
20070215 2
0.4%
20070227 1
0.2%
20070316 2
0.4%
20070322 1
0.2%
20070330 1
0.2%
20070430 1
0.2%
ValueCountFrequency (%)
20201229 1
 
0.2%
20201209 3
0.6%
20201202 1
 
0.2%
20201201 1
 
0.2%
20201130 1
 
0.2%
20201119 1
 
0.2%
20201016 1
 
0.2%
20200826 1
 
0.2%
20200818 1
 
0.2%
20200810 1
 
0.2%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing490
Missing (%)96.1%
Infinite0
Infinite (%)0.0%
Mean20154632
Minimum20070124
Maximum20200508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T15:19:29.122037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070124
5-th percentile20098987
Q120140472
median20160925
Q320170648
95-th percentile20200320
Maximum20200508
Range130384
Interquartile range (IQR)30175.5

Descriptive statistics

Standard deviation31123.556
Coefficient of variation (CV)0.0015442384
Kurtosis1.9295145
Mean20154632
Median Absolute Deviation (MAD)20017
Skewness-0.98538212
Sum4.0309263 × 108
Variance9.6867573 × 108
MonotonicityNot monotonic
2024-04-18T15:19:29.285346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20170701 1
 
0.2%
20140526 1
 
0.2%
20070124 1
 
0.2%
20150528 1
 
0.2%
20170531 1
 
0.2%
20161221 1
 
0.2%
20140611 1
 
0.2%
20140203 1
 
0.2%
20140311 1
 
0.2%
20200508 1
 
0.2%
Other values (10) 10
 
2.0%
(Missing) 490
96.1%
ValueCountFrequency (%)
20070124 1
0.2%
20100506 1
0.2%
20140203 1
0.2%
20140225 1
0.2%
20140311 1
0.2%
20140526 1
0.2%
20140611 1
0.2%
20141205 1
0.2%
20150528 1
0.2%
20160727 1
0.2%
ValueCountFrequency (%)
20200508 1
0.2%
20200310 1
0.2%
20191212 1
0.2%
20180305 1
0.2%
20170701 1
0.2%
20170630 1
0.2%
20170531 1
0.2%
20161221 1
0.2%
20161125 1
0.2%
20161123 1
0.2%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing501
Missing (%)98.2%
Infinite0
Infinite (%)0.0%
Mean20158373
Minimum20070720
Maximum20210507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T15:19:29.401481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070720
5-th percentile20082874
Q120140526
median20160727
Q320190722
95-th percentile20210395
Maximum20210507
Range139787
Interquartile range (IQR)50196

Descriptive statistics

Standard deviation48536.742
Coefficient of variation (CV)0.0024077708
Kurtosis-0.38773231
Mean20158373
Median Absolute Deviation (MAD)29995
Skewness-0.72940389
Sum1.8142535 × 108
Variance2.3558153 × 109
MonotonicityNot monotonic
2024-04-18T15:19:29.511557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20210507 1
 
0.2%
20210228 1
 
0.2%
20160727 1
 
0.2%
20101105 1
 
0.2%
20150202 1
 
0.2%
20190722 1
 
0.2%
20190617 1
 
0.2%
20070720 1
 
0.2%
20140526 1
 
0.2%
(Missing) 501
98.2%
ValueCountFrequency (%)
20070720 1
0.2%
20101105 1
0.2%
20140526 1
0.2%
20150202 1
0.2%
20160727 1
0.2%
20190617 1
0.2%
20190722 1
0.2%
20210228 1
0.2%
20210507 1
0.2%
ValueCountFrequency (%)
20210507 1
0.2%
20210228 1
0.2%
20190722 1
0.2%
20190617 1
0.2%
20160727 1
0.2%
20150202 1
0.2%
20140526 1
0.2%
20101105 1
0.2%
20070720 1
0.2%

재개업일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
507 
20180517
 
1
20200925
 
1
20200612
 
1

Length

Max length8
Median length4
Mean length4.0235294
Min length4

Unique

Unique3 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 507
99.4%
20180517 1
 
0.2%
20200925 1
 
0.2%
20200612 1
 
0.2%

Length

2024-04-18T15:19:29.656296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:19:29.764764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 507
99.4%
20180517 1
 
0.2%
20200925 1
 
0.2%
20200612 1
 
0.2%

소재지전화
Text

MISSING 

Distinct352
Distinct (%)94.4%
Missing137
Missing (%)26.9%
Memory size4.1 KiB
2024-04-18T15:19:30.015789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.045576
Min length8

Characters and Unicode

Total characters3747
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

Unique333 ?
Unique (%)89.3%

Sample

1st row0517283449
2nd row0513010612
3rd row0519713442
4th row0519412818
5th row0517540073
ValueCountFrequency (%)
0518929751 3
 
0.8%
0519412818 3
 
0.8%
0517221435 2
 
0.5%
0519120861 2
 
0.5%
0513231535 2
 
0.5%
0513278255 2
 
0.5%
0518957792 2
 
0.5%
0515213001 2
 
0.5%
0513339226 2
 
0.5%
0515822779 2
 
0.5%
Other values (342) 351
94.1%
2024-04-18T15:19:30.438769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 666
17.8%
1 639
17.1%
5 628
16.8%
2 364
9.7%
3 281
7.5%
7 279
7.4%
8 252
 
6.7%
9 240
 
6.4%
6 208
 
5.6%
4 187
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3744
99.9%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 666
17.8%
1 639
17.1%
5 628
16.8%
2 364
9.7%
3 281
7.5%
7 279
7.5%
8 252
 
6.7%
9 240
 
6.4%
6 208
 
5.6%
4 187
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3747
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 666
17.8%
1 639
17.1%
5 628
16.8%
2 364
9.7%
3 281
7.5%
7 279
7.4%
8 252
 
6.7%
9 240
 
6.4%
6 208
 
5.6%
4 187
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3747
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 666
17.8%
1 639
17.1%
5 628
16.8%
2 364
9.7%
3 281
7.5%
7 279
7.4%
8 252
 
6.7%
9 240
 
6.4%
6 208
 
5.6%
4 187
 
5.0%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct447
Distinct (%)88.7%
Missing6
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean268.18514
Minimum0
Maximum26554
Zeros19
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T15:19:30.582374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.48
Q149.9275
median105.505
Q3230.25
95-th percentile545.865
Maximum26554
Range26554
Interquartile range (IQR)180.3225

Descriptive statistics

Standard deviation1275.2023
Coefficient of variation (CV)4.7549329
Kurtosis362.29582
Mean268.18514
Median Absolute Deviation (MAD)70.2
Skewness17.98167
Sum135165.31
Variance1626141
MonotonicityNot monotonic
2024-04-18T15:19:30.718036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
3.7%
30.0 3
 
0.6%
39.6 3
 
0.6%
264.0 3
 
0.6%
66.0 3
 
0.6%
198.0 3
 
0.6%
33.0 3
 
0.6%
49.0 3
 
0.6%
132.0 3
 
0.6%
75.24 2
 
0.4%
Other values (437) 459
90.0%
(Missing) 6
 
1.2%
ValueCountFrequency (%)
0.0 19
3.7%
6.3 1
 
0.2%
8.0 1
 
0.2%
8.7 1
 
0.2%
9.0 1
 
0.2%
9.6 1
 
0.2%
12.0 1
 
0.2%
12.3 1
 
0.2%
13.5 1
 
0.2%
14.4 1
 
0.2%
ValueCountFrequency (%)
26554.0 1
0.2%
6603.66 1
0.2%
5181.27 1
0.2%
4500.95 1
0.2%
3897.0 1
0.2%
2760.0 1
0.2%
1770.0 1
0.2%
1460.0 1
0.2%
1339.0 1
0.2%
1248.73 1
0.2%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct138
Distinct (%)64.8%
Missing297
Missing (%)58.2%
Infinite0
Infinite (%)0.0%
Mean612995.82
Minimum601810
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T15:19:30.849687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum601810
5-th percentile604823.6
Q1608839
median614761
Q3617823
95-th percentile619903.8
Maximum619963
Range18153
Interquartile range (IQR)8984

Descriptive statistics

Standard deviation5367.9296
Coefficient of variation (CV)0.0087568779
Kurtosis-1.2397956
Mean612995.82
Median Absolute Deviation (MAD)4045
Skewness-0.37625326
Sum1.3056811 × 108
Variance28814668
MonotonicityNot monotonic
2024-04-18T15:19:30.991212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
618270 8
 
1.6%
617819 6
 
1.2%
617825 6
 
1.2%
609845 5
 
1.0%
617823 5
 
1.0%
616827 4
 
0.8%
616807 4
 
0.8%
604846 4
 
0.8%
619905 4
 
0.8%
604842 4
 
0.8%
Other values (128) 163
32.0%
(Missing) 297
58.2%
ValueCountFrequency (%)
601810 1
 
0.2%
601814 1
 
0.2%
601843 1
 
0.2%
602091 1
 
0.2%
602801 1
 
0.2%
602838 1
 
0.2%
604817 2
0.4%
604823 3
0.6%
604824 1
 
0.2%
604829 1
 
0.2%
ValueCountFrequency (%)
619963 1
 
0.2%
619961 3
0.6%
619911 1
 
0.2%
619906 2
0.4%
619905 4
0.8%
619903 3
0.6%
619902 1
 
0.2%
619901 3
0.6%
618809 1
 
0.2%
618808 1
 
0.2%

소재지전체주소
Text

Distinct479
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-04-18T15:19:31.273165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length24.703922
Min length8

Characters and Unicode

Total characters12599
Distinct characters200
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

Unique449 ?
Unique (%)88.0%

Sample

1st row부산광역시 부산진구 부암동 538번지 18호
2nd row부산광역시 사상구 모라동 282번지 10호
3rd row부산광역시 금정구 구서동 1005번지 4호
4th row부산광역시 기장군 정관읍 모전리 121번지 0호
5th row부산광역시 사상구 모라동 275번지 1호
ValueCountFrequency (%)
부산광역시 504
 
19.0%
사상구 82
 
3.1%
강서구 77
 
2.9%
1호 71
 
2.7%
금정구 61
 
2.3%
해운대구 48
 
1.8%
기장군 46
 
1.7%
사하구 42
 
1.6%
북구 37
 
1.4%
2호 36
 
1.4%
Other values (650) 1649
62.2%
2024-04-18T15:19:32.854333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2599
20.6%
1 578
 
4.6%
부 570
 
4.5%
산 558
 
4.4%
동 555
 
4.4%
지 520
 
4.1%
광 510
 
4.0%
호 510
 
4.0%
번 509
 
4.0%
시 506
 
4.0%
Other values (190) 5184
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7526
59.7%
Space Separator 2599
 
20.6%
Decimal Number 2449
 
19.4%
Uppercase Letter 14
 
0.1%
Dash Punctuation 7
 
0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 570
 
7.6%
산 558
 
7.4%
동 555
 
7.4%
지 520
 
6.9%
광 510
 
6.8%
호 510
 
6.8%
번 509
 
6.8%
시 506
 
6.7%
역 504
 
6.7%
구 488
 
6.5%
Other values (172) 2296
30.5%
Decimal Number
ValueCountFrequency (%)
1 578
23.6%
2 318
13.0%
4 239
9.8%
5 223
 
9.1%
3 212
 
8.7%
7 203
 
8.3%
0 185
 
7.6%
8 171
 
7.0%
6 162
 
6.6%
9 158
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
B 6
42.9%
A 3
21.4%
C 2
 
14.3%
D 2
 
14.3%
E 1
 
7.1%
Space Separator
ValueCountFrequency (%)
2599
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7526
59.7%
Common 5059
40.2%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 570
 
7.6%
산 558
 
7.4%
동 555
 
7.4%
지 520
 
6.9%
광 510
 
6.8%
호 510
 
6.8%
번 509
 
6.8%
시 506
 
6.7%
역 504
 
6.7%
구 488
 
6.5%
Other values (172) 2296
30.5%
Common
ValueCountFrequency (%)
2599
51.4%
1 578
 
11.4%
2 318
 
6.3%
4 239
 
4.7%
5 223
 
4.4%
3 212
 
4.2%
7 203
 
4.0%
0 185
 
3.7%
8 171
 
3.4%
6 162
 
3.2%
Other values (3) 169
 
3.3%
Latin
ValueCountFrequency (%)
B 6
42.9%
A 3
21.4%
C 2
 
14.3%
D 2
 
14.3%
E 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7526
59.7%
ASCII 5073
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2599
51.2%
1 578
 
11.4%
2 318
 
6.3%
4 239
 
4.7%
5 223
 
4.4%
3 212
 
4.2%
7 203
 
4.0%
0 185
 
3.6%
8 171
 
3.4%
6 162
 
3.2%
Other values (8) 183
 
3.6%
Hangul
ValueCountFrequency (%)
부 570
 
7.6%
산 558
 
7.4%
동 555
 
7.4%
지 520
 
6.9%
광 510
 
6.8%
호 510
 
6.8%
번 509
 
6.8%
시 506
 
6.7%
역 504
 
6.7%
구 488
 
6.5%
Other values (172) 2296
30.5%

도로명전체주소
Text

MISSING 

Distinct495
Distinct (%)98.4%
Missing7
Missing (%)1.4%
Memory size4.1 KiB
2024-04-18T15:19:33.273712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length29.500994
Min length16

Characters and Unicode

Total characters14839
Distinct characters247
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

Unique487 ?
Unique (%)96.8%

Sample

1st row부산광역시 부산진구 당감로 102, 2층 (부암동)
2nd row부산광역시 사상구 사상로539번길 35, 1층 (모라동)
3rd row부산광역시 금정구 금샘로 445, 반석빌딩 4층 (구서동)
4th row부산광역시 기장군 정관읍 병산로 2, 1동 2층
5th row부산광역시 사상구 삼락천로 322, 1층 (모라동)
ValueCountFrequency (%)
부산광역시 503
 
17.5%
1층 86
 
3.0%
사상구 82
 
2.8%
강서구 76
 
2.6%
금정구 60
 
2.1%
기장군 52
 
1.8%
해운대구 48
 
1.7%
사하구 42
 
1.5%
북구 35
 
1.2%
모라동 31
 
1.1%
Other values (855) 1863
64.7%
2024-04-18T15:19:33.815766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2375
 
16.0%
1 646
 
4.4%
동 606
 
4.1%
산 598
 
4.0%
부 567
 
3.8%
시 516
 
3.5%
광 512
 
3.5%
역 503
 
3.4%
구 492
 
3.3%
로 474
 
3.2%
Other values (237) 7550
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8553
57.6%
Decimal Number 2538
 
17.1%
Space Separator 2375
 
16.0%
Open Punctuation 454
 
3.1%
Close Punctuation 454
 
3.1%
Other Punctuation 349
 
2.4%
Dash Punctuation 100
 
0.7%
Uppercase Letter 16
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 606
 
7.1%
산 598
 
7.0%
부 567
 
6.6%
시 516
 
6.0%
광 512
 
6.0%
역 503
 
5.9%
구 492
 
5.8%
로 474
 
5.5%
길 324
 
3.8%
번 301
 
3.5%
Other values (217) 3660
42.8%
Decimal Number
ValueCountFrequency (%)
1 646
25.5%
2 354
13.9%
3 257
 
10.1%
5 233
 
9.2%
4 232
 
9.1%
6 184
 
7.2%
7 176
 
6.9%
0 166
 
6.5%
9 152
 
6.0%
8 138
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 6
37.5%
A 4
25.0%
C 3
18.8%
D 2
 
12.5%
E 1
 
6.2%
Space Separator
ValueCountFrequency (%)
2375
100.0%
Open Punctuation
ValueCountFrequency (%)
( 454
100.0%
Close Punctuation
ValueCountFrequency (%)
) 454
100.0%
Other Punctuation
ValueCountFrequency (%)
, 349
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8553
57.6%
Common 6270
42.3%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 606
 
7.1%
산 598
 
7.0%
부 567
 
6.6%
시 516
 
6.0%
광 512
 
6.0%
역 503
 
5.9%
구 492
 
5.8%
로 474
 
5.5%
길 324
 
3.8%
번 301
 
3.5%
Other values (217) 3660
42.8%
Common
ValueCountFrequency (%)
2375
37.9%
1 646
 
10.3%
( 454
 
7.2%
) 454
 
7.2%
2 354
 
5.6%
, 349
 
5.6%
3 257
 
4.1%
5 233
 
3.7%
4 232
 
3.7%
6 184
 
2.9%
Other values (5) 732
 
11.7%
Latin
ValueCountFrequency (%)
B 6
37.5%
A 4
25.0%
C 3
18.8%
D 2
 
12.5%
E 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8553
57.6%
ASCII 6286
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2375
37.8%
1 646
 
10.3%
( 454
 
7.2%
) 454
 
7.2%
2 354
 
5.6%
, 349
 
5.6%
3 257
 
4.1%
5 233
 
3.7%
4 232
 
3.7%
6 184
 
2.9%
Other values (10) 748
 
11.9%
Hangul
ValueCountFrequency (%)
동 606
 
7.1%
산 598
 
7.0%
부 567
 
6.6%
시 516
 
6.0%
광 512
 
6.0%
역 503
 
5.9%
구 492
 
5.8%
로 474
 
5.5%
길 324
 
3.8%
번 301
 
3.5%
Other values (217) 3660
42.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct196
Distinct (%)61.1%
Missing189
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean606153.96
Minimum46020
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T15:19:33.963461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46020
5-th percentile604817
Q1609420
median613825
Q3617823
95-th percentile619903
Maximum619963
Range573943
Interquartile range (IQR)8403

Descriptive statistics

Standard deviation63061.941
Coefficient of variation (CV)0.10403618
Kurtosis75.399753
Mean606153.96
Median Absolute Deviation (MAD)4011
Skewness-8.7399949
Sum1.9457542 × 108
Variance3.9768084 × 109
MonotonicityNot monotonic
2024-04-18T15:19:34.112132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609845 10
 
2.0%
617819 9
 
1.8%
618270 8
 
1.6%
616807 8
 
1.6%
617825 6
 
1.2%
604842 6
 
1.2%
619903 5
 
1.0%
617823 5
 
1.0%
619961 5
 
1.0%
609809 5
 
1.0%
Other values (186) 254
49.8%
(Missing) 189
37.1%
ValueCountFrequency (%)
46020 1
0.2%
46332 1
0.2%
48313 1
0.2%
49469 1
0.2%
600802 1
0.2%
601810 1
0.2%
601814 1
0.2%
601843 1
0.2%
602030 1
0.2%
602091 1
0.2%
ValueCountFrequency (%)
619963 1
 
0.2%
619961 5
1.0%
619911 2
 
0.4%
619906 2
 
0.4%
619905 4
0.8%
619904 1
 
0.2%
619903 5
1.0%
619902 1
 
0.2%
619901 4
0.8%
619900 1
 
0.2%

사업장명
Text

Distinct499
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-04-18T15:19:34.361340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length6.0901961
Min length2

Characters and Unicode

Total characters3106
Distinct characters390
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique490 ?
Unique (%)96.1%

Sample

1st row대한아이스
2nd row놀라푸드
3rd row주식회사 떡구름
4th row주식회사 제이엔푸드
5th row주식회사 비엔씨푸드
ValueCountFrequency (%)
주식회사 44
 
7.5%
금호식품 3
 
0.5%
하나로축산 3
 
0.5%
상도유통 2
 
0.3%
농업회사법인 2
 
0.3%
한울 2
 
0.3%
주)제이이코리아 2
 
0.3%
food 2
 
0.3%
청초푸드시스템 2
 
0.3%
금보푸드 2
 
0.3%
Other values (519) 522
89.1%
2024-04-18T15:19:34.832640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 177
 
5.7%
식 161
 
5.2%
드 146
 
4.7%
푸 142
 
4.6%
) 137
 
4.4%
( 137
 
4.4%
품 115
 
3.7%
76
 
2.4%
사 63
 
2.0%
산 61
 
2.0%
Other values (380) 1891
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2616
84.2%
Close Punctuation 137
 
4.4%
Open Punctuation 137
 
4.4%
Uppercase Letter 102
 
3.3%
Space Separator 76
 
2.4%
Other Punctuation 15
 
0.5%
Lowercase Letter 15
 
0.5%
Decimal Number 7
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 177
 
6.8%
식 161
 
6.2%
드 146
 
5.6%
푸 142
 
5.4%
품 115
 
4.4%
사 63
 
2.4%
산 61
 
2.3%
회 49
 
1.9%
이 45
 
1.7%
유 42
 
1.6%
Other values (338) 1615
61.7%
Uppercase Letter
ValueCountFrequency (%)
F 16
15.7%
O 9
 
8.8%
D 8
 
7.8%
C 8
 
7.8%
M 7
 
6.9%
S 6
 
5.9%
T 6
 
5.9%
A 5
 
4.9%
G 4
 
3.9%
H 4
 
3.9%
Other values (10) 29
28.4%
Lowercase Letter
ValueCountFrequency (%)
e 3
20.0%
h 3
20.0%
i 1
 
6.7%
z 1
 
6.7%
p 1
 
6.7%
a 1
 
6.7%
w 1
 
6.7%
o 1
 
6.7%
n 1
 
6.7%
k 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
& 9
60.0%
. 4
26.7%
/ 1
 
6.7%
＆ 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
2 5
71.4%
1 1
 
14.3%
4 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 137
100.0%
Open Punctuation
ValueCountFrequency (%)
( 137
100.0%
Space Separator
ValueCountFrequency (%)
76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2616
84.2%
Common 373
 
12.0%
Latin 117
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 177
 
6.8%
식 161
 
6.2%
드 146
 
5.6%
푸 142
 
5.4%
품 115
 
4.4%
사 63
 
2.4%
산 61
 
2.3%
회 49
 
1.9%
이 45
 
1.7%
유 42
 
1.6%
Other values (338) 1615
61.7%
Latin
ValueCountFrequency (%)
F 16
 
13.7%
O 9
 
7.7%
D 8
 
6.8%
C 8
 
6.8%
M 7
 
6.0%
S 6
 
5.1%
T 6
 
5.1%
A 5
 
4.3%
G 4
 
3.4%
H 4
 
3.4%
Other values (21) 44
37.6%
Common
ValueCountFrequency (%)
) 137
36.7%
( 137
36.7%
76
20.4%
& 9
 
2.4%
2 5
 
1.3%
. 4
 
1.1%
1 1
 
0.3%
- 1
 
0.3%
/ 1
 
0.3%
＆ 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2616
84.2%
ASCII 489
 
15.7%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 177
 
6.8%
식 161
 
6.2%
드 146
 
5.6%
푸 142
 
5.4%
품 115
 
4.4%
사 63
 
2.4%
산 61
 
2.3%
회 49
 
1.9%
이 45
 
1.7%
유 42
 
1.6%
Other values (338) 1615
61.7%
ASCII
ValueCountFrequency (%)
) 137
28.0%
( 137
28.0%
76
15.5%
F 16
 
3.3%
& 9
 
1.8%
O 9
 
1.8%
D 8
 
1.6%
C 8
 
1.6%
M 7
 
1.4%
S 6
 
1.2%
Other values (31) 76
15.5%
None
ValueCountFrequency (%)
＆ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct510
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0165885 × 1013
Minimum2.0070215 × 1013
Maximum2.020123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T15:19:34.988949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070215 × 1013
5-th percentile2.0111031 × 1013
Q12.0150109 × 1013
median2.0170316 × 1013
Q32.0190918 × 1013
95-th percentile2.020103 × 1013
Maximum2.020123 × 1013
Range1.3101492 × 1011
Interquartile range (IQR)4.0808516 × 1010

Descriptive statistics

Standard deviation3.0641083 × 1010
Coefficient of variation (CV)0.0015194514
Kurtosis-0.51226292
Mean2.0165885 × 1013
Median Absolute Deviation (MAD)2.0600961 × 1010
Skewness-0.67665127
Sum1.0284601 × 1016
Variance9.3887594 × 1020
MonotonicityNot monotonic
2024-04-18T15:19:35.135297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201224091901 1
 
0.2%
20150116150546 1
 
0.2%
20190604181248 1
 
0.2%
20130611171219 1
 
0.2%
20160304172541 1
 
0.2%
20140123163941 1
 
0.2%
20190614144833 1
 
0.2%
20150305180059 1
 
0.2%
20140401095518 1
 
0.2%
20190716093000 1
 
0.2%
Other values (500) 500
98.0%
ValueCountFrequency (%)
20070215175506 1
0.2%
20070430164106 1
0.2%
20080804191749 1
0.2%
20080812112916 1
0.2%
20081103143922 1
0.2%
20110422112808 1
0.2%
20111030140530 1
0.2%
20111030145515 1
0.2%
20111031135543 1
0.2%
20111031141822 1
0.2%
ValueCountFrequency (%)
20201230092857 1
0.2%
20201229132056 1
0.2%
20201224091901 1
0.2%
20201223092708 1
0.2%
20201210103036 1
0.2%
20201210092041 1
0.2%
20201210091911 1
0.2%
20201210091711 1
0.2%
20201208163617 1
0.2%
20201207160054 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
I
372 
U
138 

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 372
72.9%
U 138
 
27.1%

Length

2024-04-18T15:19:35.346335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:19:35.478447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 372
72.9%
u 138
 
27.1%

데이터갱신일자
Date

Distinct161
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-01 02:40:00
2024-04-18T15:19:35.673624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T15:19:35.819120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
식육가공업
485 
유가공업
 
15
알가공업
 
10

Length

Max length5
Median length5
Mean length4.9509804
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 485
95.1%
유가공업 15
 
2.9%
알가공업 10
 
2.0%

Length

2024-04-18T15:19:35.970023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:19:36.068078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 485
95.1%
유가공업 15
 
2.9%
알가공업 10
 
2.0%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct450
Distinct (%)91.6%
Missing19
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean386590.96
Minimum367063
Maximum407871.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T15:19:36.182317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367063
5-th percentile375953.85
Q1380502.26
median386207.23
Q3392558.2
95-th percentile401239.3
Maximum407871.51
Range40808.509
Interquartile range (IQR)12055.941

Descriptive statistics

Standard deviation8026.9843
Coefficient of variation (CV)0.020763507
Kurtosis-0.58230018
Mean386590.96
Median Absolute Deviation (MAD)6030.2278
Skewness0.21014365
Sum1.8981616 × 108
Variance64432476
MonotonicityNot monotonic
2024-04-18T15:19:36.322612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
392605.108577419 3
 
0.6%
379756.541692821 3
 
0.6%
378029.199873867 3
 
0.6%
379528.77648609 3
 
0.6%
385126.288915365 3
 
0.6%
380958.320754697 3
 
0.6%
379222.0 2
 
0.4%
381660.060041149 2
 
0.4%
380858.940442492 2
 
0.4%
387406.067019474 2
 
0.4%
Other values (440) 465
91.2%
(Missing) 19
 
3.7%
ValueCountFrequency (%)
367063.0 1
0.2%
368051.366514748 1
0.2%
368654.854713562 1
0.2%
369145.646646418 1
0.2%
369324.667538937 1
0.2%
369330.390451594 2
0.4%
369510.064865473 1
0.2%
369562.400873148 1
0.2%
369683.20785143 2
0.4%
369981.263320302 1
0.2%
ValueCountFrequency (%)
407871.508884898 1
0.2%
405387.033292481 2
0.4%
403999.58300105 1
0.2%
403220.11445311 1
0.2%
402641.485806737 1
0.2%
402626.169266956 1
0.2%
402193.03117 1
0.2%
402090.206314864 1
0.2%
402028.737079755 1
0.2%
402008.669846079 1
0.2%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct450
Distinct (%)91.6%
Missing19
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean189136.09
Minimum174550
Maximum206945.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T15:19:36.460809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174550
5-th percentile177371.07
Q1185789.88
median190017.44
Q3192815.23
95-th percentile198312.77
Maximum206945.8
Range32395.801
Interquartile range (IQR)7025.3481

Descriptive statistics

Standard deviation6460.0692
Coefficient of variation (CV)0.034155666
Kurtosis0.33790278
Mean189136.09
Median Absolute Deviation (MAD)3415.1984
Skewness-0.054509555
Sum92865823
Variance41732494
MonotonicityNot monotonic
2024-04-18T15:19:36.599100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193813.351507992 3
 
0.6%
184718.291570454 3
 
0.6%
192820.90208319 3
 
0.6%
178780.391510637 3
 
0.6%
185499.312532294 3
 
0.6%
190065.417663202 3
 
0.6%
190827.0 2
 
0.4%
190994.259370809 2
 
0.4%
188391.701587993 2
 
0.4%
186676.305414942 2
 
0.4%
Other values (440) 465
91.2%
(Missing) 19
 
3.7%
ValueCountFrequency (%)
174550.0 1
0.2%
174577.633592265 1
0.2%
174683.069423816 1
0.2%
174725.474261659 1
0.2%
174811.513941031 1
0.2%
175020.860512127 1
0.2%
175272.551957557 1
0.2%
175294.185933023 1
0.2%
175993.708593444 1
0.2%
176325.985760915 1
0.2%
ValueCountFrequency (%)
206945.800615 1
0.2%
206119.0 1
0.2%
205837.729960788 1
0.2%
205478.756319943 1
0.2%
205389.277197702 1
0.2%
205382.553682 1
0.2%
205142.741841 1
0.2%
205114.006879 1
0.2%
205056.346754 1
0.2%
204990.775447 1
0.2%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
축산물가공업
510 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물가공업 510
100.0%

Length

2024-04-18T15:19:36.726161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:19:36.814565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물가공업 510
100.0%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
식육가공업
485 
유가공업
 
15
알가공업
 
10

Length

Max length5
Median length5
Mean length4.9509804
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 485
95.1%
유가공업 15
 
2.9%
알가공업 10
 
2.0%

Length

2024-04-18T15:19:36.911172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:19:37.004690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 485
95.1%
유가공업 15
 
2.9%
알가공업 10
 
2.0%

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing510
Missing (%)100.0%
Memory size4.6 KiB

권리주체일련번호
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
000
342 
L00
168 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 342
67.1%
L00 168
32.9%

Length

2024-04-18T15:19:37.104384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:19:37.197924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 342
67.1%
l00 168
32.9%

총종업원수
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)4.7%
Missing4
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean1.9328063
Minimum0
Maximum216
Zeros398
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-18T15:19:37.310297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum216
Range216
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.015148
Coefficient of variation (CV)6.2164265
Kurtosis228.40521
Mean1.9328063
Median Absolute Deviation (MAD)0
Skewness14.212168
Sum978
Variance144.36379
MonotonicityNot monotonic
2024-04-18T15:19:37.465791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 398
78.0%
3 20
 
3.9%
2 18
 
3.5%
4 14
 
2.7%
1 12
 
2.4%
7 8
 
1.6%
5 8
 
1.6%
6 6
 
1.2%
11 3
 
0.6%
9 2
 
0.4%
Other values (14) 17
 
3.3%
(Missing) 4
 
0.8%
ValueCountFrequency (%)
0 398
78.0%
1 12
 
2.4%
2 18
 
3.5%
3 20
 
3.9%
4 14
 
2.7%
5 8
 
1.6%
6 6
 
1.2%
7 8
 
1.6%
8 2
 
0.4%
9 2
 
0.4%
ValueCountFrequency (%)
216 1
0.2%
131 1
0.2%
75 1
0.2%
27 1
0.2%
23 1
0.2%
21 1
0.2%
17 1
0.2%
16 1
0.2%
15 2
0.4%
14 1
0.2%

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing510
Missing (%)100.0%
Memory size4.6 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
01축산가공업07_22_05_P626000062600000042020004020201224<NA>1영업/정상0정상<NA><NA><NA><NA><NA>201.67<NA>부산광역시 부산진구 부암동 538번지 18호부산광역시 부산진구 당감로 102, 2층 (부암동)<NA>대한아이스20201224091901I2020-12-26 00:23:21.0식육가공업385683.330805187933.028688축산물가공업식육가공업<NA>0000<NA>
12축산가공업07_22_05_P626000062600000042020003920201223<NA>1영업/정상0정상<NA><NA><NA><NA><NA>172.2<NA>부산광역시 사상구 모라동 282번지 10호부산광역시 사상구 사상로539번길 35, 1층 (모라동)<NA>놀라푸드20201223092708I2020-12-25 00:23:06.0식육가공업380903.012198190017.436488축산물가공업식육가공업<NA>0000<NA>
23축산가공업07_22_05_P626000062600000042020003820201210<NA>1영업/정상0정상<NA><NA><NA><NA><NA>15.66<NA>부산광역시 금정구 구서동 1005번지 4호부산광역시 금정구 금샘로 445, 반석빌딩 4층 (구서동)<NA>주식회사 떡구름20201210103036I2020-12-12 00:23:07.0식육가공업389613.0197934.0축산물가공업식육가공업<NA>L000<NA>
34축산가공업07_22_05_P626000062600000042020003720201204<NA>1영업/정상0정상<NA><NA><NA><NA>0517283449382.91<NA>부산광역시 기장군 정관읍 모전리 121번지 0호부산광역시 기장군 정관읍 병산로 2, 1동 2층<NA>주식회사 제이엔푸드20201204132823I2020-12-06 00:23:07.0식육가공업397221.0206119.0축산물가공업식육가공업<NA>L000<NA>
45축산가공업07_22_05_P626000062600000042020003620201202<NA>1영업/정상0정상<NA><NA><NA><NA>0513010612244.24<NA>부산광역시 사상구 모라동 275번지 1호부산광역시 사상구 삼락천로 322, 1층 (모라동)<NA>주식회사 비엔씨푸드20201202174851I2020-12-04 00:23:19.0식육가공업380982.0190192.0축산물가공업식육가공업<NA>L000<NA>
56축산가공업07_22_05_P626000062600000042020003520201130<NA>1영업/정상0정상<NA><NA><NA><NA><NA>58.19<NA>부산광역시 금정구 남산동 256번지 25호부산광역시 금정구 금단로 189-1, 1층 (남산동)<NA>백년식품20201202113543U2020-12-04 02:40:00.0식육가공업390439.218528198278.407759축산물가공업식육가공업<NA>L000<NA>
67축산가공업07_22_05_P626000062600000042020003420201130<NA>1영업/정상0정상<NA><NA><NA><NA><NA>670.04<NA>부산광역시 사하구 신평동 469번지 1호부산광역시 사하구 신산북로 9 (신평동)<NA>주식회사 오박사닷컴20201130144835I2020-12-02 00:23:08.0식육가공업379200.590629178750.468733축산물가공업식육가공업<NA>L000<NA>
78축산가공업07_22_05_P626000062600000042020003320201123<NA>1영업/정상0정상<NA><NA><NA><NA>0519713442481.85<NA>부산광역시 강서구 대저1동 2917번지 1호부산광역시 강서구 신덕길1번길 12 (대저1동)<NA>주식회사 제이더원20201123100122I2020-11-25 00:23:07.0식육가공업379222.0190827.0축산물가공업식육가공업<NA>L000<NA>
89축산가공업07_22_05_P626000062600000042020003220201027<NA>1영업/정상0정상<NA><NA><NA><NA>0519412818403.7<NA>부산광역시 강서구 강동동 29번지 599호부산광역시 강서구 낙동북로102번길 71 (강동동)<NA>(주)돌담축산20201027104836I2020-10-29 00:23:30.0식육가공업376338.975478192429.088965축산물가공업식육가공업<NA>L000<NA>
910축산가공업07_22_05_P626000062600000042020003120201005<NA>1영업/정상0정상<NA><NA><NA><NA><NA>251.28<NA>부산광역시 기장군 장안읍 길천리 188번지 73호 진주오피스텔1층101호,103호,105호부산광역시 기장군 장안읍 길천길 73, (진주오피스텔)<NA>(주)비케이푸드시스템20201109092114U2020-11-11 02:40:00.0식육가공업407871.508885205389.277198축산물가공업식육가공업<NA>L000<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
500501축산가공업07_22_05_P626000062600000042007001620070820<NA>4취소/말소/만료/정지/중지3인허가취소<NA><NA><NA><NA>051973922647.52618805부산광역시 강서구 대저1동 1375번지 2호부산광역시 강서구 대저로 165, 2호 (대저1동)618805한울 F&P20121119144617I2018-10-04 11:12:49.0식육가공업379387.234326192420.775021축산물가공업식육가공업<NA>0004<NA>
501502축산가공업07_22_05_P626000062600000042006002020061226<NA>4취소/말소/만료/정지/중지3인허가취소<NA><NA><NA><NA>051583933330.0609836부산광역시 금정구 장전동 96번지 15호부산광역시 금정구 금강로379번길 16, 15호 (장전동)609836산수갑산식품20121119144340I2018-10-04 11:12:49.0식육가공업389757.720868195636.115242축산물가공업식육가공업<NA>0000<NA>
502503축산가공업07_22_05_P626000062600000042005000220050825<NA>4취소/말소/만료/정지/중지3인허가취소<NA><NA><NA><NA>051521066135.0607825부산광역시 동래구 안락동 178번지 6호부산광역시 동래구 연안로52번길 66, 6호 (안락동)607100푸른농장20121119144659I2018-10-04 11:12:49.0식육가공업392193.098808190015.196632축산물가공업식육가공업<NA>0001<NA>
503504축산가공업07_22_05_P626000062600000042004000720041206<NA>4취소/말소/만료/정지/중지3인허가취소<NA><NA><NA><NA>051362266693.87616810부산광역시 북구 금곡동 641번지 13호부산광역시 북구 금곡대로636번길 19, 13호 (금곡동)616810처음유통20121119145032I2018-10-04 11:12:49.0식육가공업383419.084416197902.60813축산물가공업식육가공업<NA>0000<NA>
504505축산가공업07_22_05_P626000062600000042004000220041015<NA>4취소/말소/만료/정지/중지3인허가취소<NA><NA><NA><NA><NA>85.0612816부산광역시 해운대구 반여동 1588번지 3호부산광역시 해운대구 재반로256번길 57-85, 3호 (반여동)612816(주)영강식품20121119144726I2018-10-04 11:12:49.0식육가공업394349.001652191159.196226축산물가공업식육가공업<NA>0003<NA>
505506축산가공업07_22_05_P626000062600000042003000720030331<NA>4취소/말소/만료/정지/중지3인허가취소<NA><NA><NA><NA>0513019162120.2617825부산광역시 사상구 삼락동 353번지 9호부산광역시 사상구 낙동대로1412번길 40, 9호 (삼락동)617825엠에프씨20121119144546I2018-10-04 11:12:49.0식육가공업380229.57953189154.711263축산물가공업식육가공업<NA>0000<NA>
506507축산가공업07_22_05_P626000062600000042003000620031215<NA>4취소/말소/만료/정지/중지3인허가취소<NA><NA><NA><NA>051518444046.0609801부산광역시 금정구 구서동 182번지 5호 복천주택 B동 105호부산광역시 금정구 안뜰로7번길 22, 105호 (구서동,복천주택B동)609801굿포크20121119144418I2018-10-04 11:12:49.0식육가공업390379.446742197169.802017축산물가공업식육가공업<NA>0000<NA>
507508축산가공업07_22_05_P626000062600000042002001020020415<NA>4취소/말소/만료/정지/중지3인허가취소<NA><NA><NA><NA><NA>318.6617819부산광역시 사상구 모라동 276번지 1호부산광역시 사상구 삼락천로 316, 1호 (모라동)617819(주)메타푸드20121119144929I2018-10-04 11:12:49.0식육가공업381011.506784190131.66485축산물가공업식육가공업<NA>L000<NA>
508509축산가공업07_22_05_P626000062600000042001000120010129<NA>4취소/말소/만료/정지/중지3인허가취소<NA><NA><NA><NA>051515474571.28609816부산광역시 금정구 남산동 988번지 41호부산광역시 금정구 남산로 49, 41호 (남산동)609816뉴월드식품20121119144452I2018-10-04 11:12:49.0식육가공업389829.169605198388.430551축산물가공업식육가공업<NA>0000<NA>
509510축산가공업07_22_05_P626000062600000041996000219961114<NA>4취소/말소/만료/정지/중지3인허가취소<NA><NA><NA><NA><NA>81.37617804부산광역시 사상구 감전동 146번지 5호부산광역시 사상구 새벽시장로 24, 5호 (감전동)617804(주)한서20121119144831I2018-10-04 11:12:49.0식육가공업380027.797035185850.579096축산물가공업식육가공업<NA>0000<NA>