Overview

Dataset statistics

Number of variables34
Number of observations517
Missing cells3541
Missing cells (%)20.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory147.6 KiB
Average record size in memory292.3 B

Variable types

Numeric13
Categorical13
Unsupported3
Text4
DateTime1

Dataset

Description2021-04-01
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 (97.0%)Imbalance
업태구분명 is highly imbalanced (79.4%)Imbalance
축산물가공업구분명 is highly imbalanced (79.4%)Imbalance
인허가취소일자 has 517 (100.0%) missing valuesMissing
폐업일자 has 287 (55.5%) missing valuesMissing
휴업시작일자 has 497 (96.1%) missing valuesMissing
휴업종료일자 has 509 (98.5%) missing valuesMissing
소재지전화 has 140 (27.1%) missing valuesMissing
소재지면적 has 6 (1.2%) missing valuesMissing
소재지우편번호 has 304 (58.8%) missing valuesMissing
도로명전체주소 has 7 (1.4%) missing valuesMissing
도로명우편번호 has 196 (37.9%) missing valuesMissing
좌표정보(x) has 20 (3.9%) missing valuesMissing
좌표정보(y) has 20 (3.9%) missing valuesMissing
축산일련번호 has 517 (100.0%) missing valuesMissing
Unnamed: 33 has 517 (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 405 (78.3%) zerosZeros

Reproduction

Analysis started2024-04-18 06:18:05.491340
Analysis finished2024-04-18 06:18:06.215978
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct517
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean259
Minimum1
Maximum517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-18T15:18:06.305874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.8
Q1130
median259
Q3388
95-th percentile491.2
Maximum517
Range516
Interquartile range (IQR)258

Descriptive statistics

Standard deviation149.38931
Coefficient of variation (CV)0.57679271
Kurtosis-1.2
Mean259
Median Absolute Deviation (MAD)129
Skewness0
Sum133903
Variance22317.167
MonotonicityStrictly increasing
2024-04-18T15:18:06.527163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
325 1
 
0.2%
355 1
 
0.2%
354 1
 
0.2%
353 1
 
0.2%
352 1
 
0.2%
351 1
 
0.2%
350 1
 
0.2%
349 1
 
0.2%
348 1
 
0.2%
Other values (507) 507
98.1%
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 (%)
517 1
0.2%
516 1
0.2%
515 1
0.2%
514 1
0.2%
513 1
0.2%
512 1
0.2%
511 1
0.2%
510 1
0.2%
509 1
0.2%
508 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
축산가공업
517 

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 517
100.0%

Length

2024-04-18T15:18:06.649343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:18:06.741778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산가공업 517
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
07_22_05_P
517 

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 517
100.0%

Length

2024-04-18T15:18:06.834506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:18:06.920419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_05_p 517
100.0%

개방자치단체코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
6260000
513 
3400000
 
1
3380000
 
1
3340000
 
1
3350000
 
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 513
99.2%
3400000 1
 
0.2%
3380000 1
 
0.2%
3340000 1
 
0.2%
3350000 1
 
0.2%

Length

2024-04-18T15:18:07.014534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:18:07.130184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6260000 513
99.2%
3400000 1
 
0.2%
3380000 1
 
0.2%
3340000 1
 
0.2%
3350000 1
 
0.2%

관리번호
Real number (ℝ)

UNIQUE 

Distinct517
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2376209 × 1017
Minimum3.34 × 1017
Maximum6.26 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-18T15:18:07.242381image/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)89984

Descriptive statistics

Standard deviation2.5369202 × 1016
Coefficient of variation (CV)0.040671278
Kurtosis125.5152
Mean6.2376209 × 1017
Median Absolute Deviation (MAD)40064
Skewness-11.270347
Sum8.890351 × 1018
Variance6.4359639 × 1032
MonotonicityNot monotonic
2024-04-18T15:18:07.375320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
626000000420130012 1
 
0.2%
626000000420160023 1
 
0.2%
626000000420170021 1
 
0.2%
626000000420170022 1
 
0.2%
626000000420170023 1
 
0.2%
626000000420180002 1
 
0.2%
626000000420180004 1
 
0.2%
626000000420180005 1
 
0.2%
626000000420180006 1
 
0.2%
626000000420180007 1
 
0.2%
Other values (507) 507
98.1%
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 (%)
626000000420210007 1
0.2%
626000000420210006 1
0.2%
626000000420210005 1
0.2%
626000000420210004 1
0.2%
626000000420210003 1
0.2%
626000000420210002 1
0.2%
626000000420210001 1
0.2%
626000000420200040 1
0.2%
626000000420200039 1
0.2%
626000000420200038 1
0.2%

인허가일자
Real number (ℝ)

Distinct469
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20117932
Minimum19710504
Maximum20210222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-18T15:18:07.511240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19710504
5-th percentile20000123
Q120080502
median20130906
Q320170119
95-th percentile20200717
Maximum20210222
Range499718
Interquartile range (IQR)89617

Descriptive statistics

Standard deviation69155.935
Coefficient of variation (CV)0.003437527
Kurtosis5.1177096
Mean20117932
Median Absolute Deviation (MAD)40218
Skewness-1.6091033
Sum1.0400971 × 1010
Variance4.7825434 × 109
MonotonicityNot monotonic
2024-04-18T15:18:07.651619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200717 3
 
0.6%
20140228 3
 
0.6%
20060517 3
 
0.6%
20150721 2
 
0.4%
20150625 2
 
0.4%
20131002 2
 
0.4%
20061228 2
 
0.4%
20110502 2
 
0.4%
20140426 2
 
0.4%
20110620 2
 
0.4%
Other values (459) 494
95.6%
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 (%)
20210222 1
0.2%
20210219 1
0.2%
20210203 1
0.2%
20210126 2
0.4%
20210120 1
0.2%
20210104 1
0.2%
20201224 1
0.2%
20201223 1
0.2%
20201210 1
0.2%
20201204 1
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing517
Missing (%)100.0%
Memory size4.7 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
1
261 
3
229 
4
 
14
2
 
13

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 (%)
1 261
50.5%
3 229
44.3%
4 14
 
2.7%
2 13
 
2.5%

Length

2024-04-18T15:18:07.790195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:18:07.893095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 261
50.5%
3 229
44.3%
4 14
 
2.7%
2 13
 
2.5%

영업상태명
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
영업/정상
261 
폐업
229 
취소/말소/만료/정지/중지
 
14
휴업
 
13

Length

Max length14
Median length5
Mean length3.8394584
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 261
50.5%
폐업 229
44.3%
취소/말소/만료/정지/중지 14
 
2.7%
휴업 13
 
2.5%

Length

2024-04-18T15:18:08.006922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:18:08.120231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 261
50.5%
폐업 229
44.3%
취소/말소/만료/정지/중지 14
 
2.7%
휴업 13
 
2.5%

상세영업상태코드
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
0
261 
2
229 
3
 
13
1
 
13
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row4
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
0 261
50.5%
2 229
44.3%
3 13
 
2.5%
1 13
 
2.5%
4 1
 
0.2%

Length

2024-04-18T15:18:08.231290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:18:08.333233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 261
50.5%
2 229
44.3%
3 13
 
2.5%
1 13
 
2.5%
4 1
 
0.2%

상세영업상태명
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
정상
261 
폐업
229 
인허가취소
 
13
휴업
 
13
말소
 
1

Length

Max length5
Median length2
Mean length2.0754352
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
정상 261
50.5%
폐업 229
44.3%
인허가취소 13
 
2.5%
휴업 13
 
2.5%
말소 1
 
0.2%

Length

2024-04-18T15:18:08.447562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:18:08.559437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 261
50.5%
폐업 229
44.3%
인허가취소 13
 
2.5%
휴업 13
 
2.5%
말소 1
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct185
Distinct (%)80.4%
Missing287
Missing (%)55.5%
Infinite0
Infinite (%)0.0%
Mean20142221
Minimum20040816
Maximum20210127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-18T15:18:08.696990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040816
5-th percentile20070375
Q120120211
median20140602
Q320170294
95-th percentile20200822
Maximum20210127
Range169311
Interquartile range (IQR)50082.75

Descriptive statistics

Standard deviation39399.796
Coefficient of variation (CV)0.00195608
Kurtosis-0.64174471
Mean20142221
Median Absolute Deviation (MAD)29500
Skewness-0.32371541
Sum4.6327109 × 109
Variance1.5523439 × 109
MonotonicityNot monotonic
2024-04-18T15:18:08.843103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140602 16
 
3.1%
20170228 4
 
0.8%
20160128 3
 
0.6%
20140306 3
 
0.6%
20201209 3
 
0.6%
20170227 3
 
0.6%
20130131 3
 
0.6%
20140304 3
 
0.6%
20160229 2
 
0.4%
20111229 2
 
0.4%
Other values (175) 188
36.4%
(Missing) 287
55.5%
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 (%)
20210127 1
 
0.2%
20210122 1
 
0.2%
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%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing497
Missing (%)96.1%
Infinite0
Infinite (%)0.0%
Mean20154632
Minimum20070124
Maximum20200508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-18T15:18:08.972432image/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
2024-04-18T15:18:09.097857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20141205 1
 
0.2%
20161123 1
 
0.2%
20161125 1
 
0.2%
20170701 1
 
0.2%
20140203 1
 
0.2%
20100506 1
 
0.2%
20140311 1
 
0.2%
20191212 1
 
0.2%
20140225 1
 
0.2%
20200310 1
 
0.2%
Other values (10) 10
 
1.9%
(Missing) 497
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 

Distinct8
Distinct (%)100.0%
Missing509
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean20151891
Minimum20070720
Maximum20210507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-18T15:18:09.224774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070720
5-th percentile20081355
Q120130671
median20155464
Q320190643
95-th percentile20203582
Maximum20210507
Range139787
Interquartile range (IQR)59972.5

Descriptive statistics

Standard deviation47541.598
Coefficient of variation (CV)0.0023591632
Kurtosis-0.44264936
Mean20151891
Median Absolute Deviation (MAD)35205
Skewness-0.61785103
Sum1.6121513 × 108
Variance2.2602036 × 109
MonotonicityNot monotonic
2024-04-18T15:18:09.331729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20190722 1
 
0.2%
20140526 1
 
0.2%
20190617 1
 
0.2%
20070720 1
 
0.2%
20210507 1
 
0.2%
20160727 1
 
0.2%
20101105 1
 
0.2%
20150202 1
 
0.2%
(Missing) 509
98.5%
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%
20210507 1
0.2%
ValueCountFrequency (%)
20210507 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 size4.2 KiB
<NA>
514 
20180517
 
1
20200925
 
1
20200612
 
1

Length

Max length8
Median length4
Mean length4.0232108
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> 514
99.4%
20180517 1
 
0.2%
20200925 1
 
0.2%
20200612 1
 
0.2%

Length

2024-04-18T15:18:09.482564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:18:09.591670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 514
99.4%
20180517 1
 
0.2%
20200925 1
 
0.2%
20200612 1
 
0.2%

소재지전화
Text

MISSING 

Distinct356
Distinct (%)94.4%
Missing140
Missing (%)27.1%
Memory size4.2 KiB
2024-04-18T15:18:09.820514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.045093
Min length8

Characters and Unicode

Total characters3787
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

Unique337 ?
Unique (%)89.4%

Sample

1st row0515287572
2nd row0519739226
3rd row0515839333
4th row0517015589
5th row0515210661
ValueCountFrequency (%)
0519412818 3
 
0.8%
0518929751 3
 
0.8%
0518039971 2
 
0.5%
0518957792 2
 
0.5%
0517221435 2
 
0.5%
0513278255 2
 
0.5%
0517590199 2
 
0.5%
07042171178 2
 
0.5%
0513339226 2
 
0.5%
0513231535 2
 
0.5%
Other values (346) 355
94.2%
2024-04-18T15:18:10.249304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 671
17.7%
1 647
17.1%
5 633
16.7%
2 369
9.7%
3 283
7.5%
7 282
7.4%
8 253
 
6.7%
9 244
 
6.4%
6 210
 
5.5%
4 192
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3784
99.9%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 671
17.7%
1 647
17.1%
5 633
16.7%
2 369
9.8%
3 283
7.5%
7 282
7.5%
8 253
 
6.7%
9 244
 
6.4%
6 210
 
5.5%
4 192
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3787
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 671
17.7%
1 647
17.1%
5 633
16.7%
2 369
9.7%
3 283
7.5%
7 282
7.4%
8 253
 
6.7%
9 244
 
6.4%
6 210
 
5.5%
4 192
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3787
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 671
17.7%
1 647
17.1%
5 633
16.7%
2 369
9.7%
3 283
7.5%
7 282
7.4%
8 253
 
6.7%
9 244
 
6.4%
6 210
 
5.5%
4 192
 
5.1%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct452
Distinct (%)88.5%
Missing6
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean270.3225
Minimum0
Maximum26554
Zeros19
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-18T15:18:10.396009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.15
Q149.985
median105.01
Q3230.5
95-th percentile558.84
Maximum26554
Range26554
Interquartile range (IQR)180.515

Descriptive statistics

Standard deviation1268.9407
Coefficient of variation (CV)4.6941734
Kurtosis364.27064
Mean270.3225
Median Absolute Deviation (MAD)69.4
Skewness17.997501
Sum138134.8
Variance1610210.5
MonotonicityNot monotonic
2024-04-18T15:18:10.547203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
3.7%
264.0 3
 
0.6%
66.0 3
 
0.6%
39.6 3
 
0.6%
132.0 3
 
0.6%
198.0 3
 
0.6%
30.0 3
 
0.6%
33.0 3
 
0.6%
49.0 3
 
0.6%
50.35 2
 
0.4%
Other values (442) 466
90.1%
(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%
11.7 1
 
0.2%
12.0 1
 
0.2%
12.3 1
 
0.2%
13.5 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%
1982.4 1
0.2%
1770.0 1
0.2%
1460.0 1
0.2%
1339.0 1
0.2%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct138
Distinct (%)64.8%
Missing304
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean612995.82
Minimum601810
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-18T15:18:10.692522image/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
2024-04-18T15:18:10.839062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
618270 8
 
1.5%
617819 6
 
1.2%
617825 6
 
1.2%
617823 5
 
1.0%
609845 5
 
1.0%
604846 4
 
0.8%
619905 4
 
0.8%
616807 4
 
0.8%
616827 4
 
0.8%
604842 4
 
0.8%
Other values (128) 163
31.5%
(Missing) 304
58.8%
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

Distinct485
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-04-18T15:18:11.144938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length24.70793
Min length8

Characters and Unicode

Total characters12774
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

Unique454 ?
Unique (%)87.8%

Sample

1st row부산광역시 금정구 회동동 517번지 53호
2nd row부산광역시 사상구 감전동 146번지 5호
3rd row부산광역시 북구 구포동 898번지 9호
4th row부산광역시 강서구 대저1동 1375번지 2호
5th row부산광역시 금정구 장전동 96번지 15호
ValueCountFrequency (%)
부산광역시 511
 
19.0%
사상구 83
 
3.1%
강서구 80
 
3.0%
1호 72
 
2.7%
금정구 62
 
2.3%
해운대구 48
 
1.8%
기장군 47
 
1.7%
사하구 42
 
1.6%
북구 37
 
1.4%
2호 36
 
1.3%
Other values (653) 1672
62.2%
2024-04-18T15:18:11.606541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2635
20.6%
1 586
 
4.6%
부 577
 
4.5%
산 566
 
4.4%
동 566
 
4.4%
지 527
 
4.1%
호 518
 
4.1%
광 517
 
4.0%
번 516
 
4.0%
시 513
 
4.0%
Other values (190) 5253
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7629
59.7%
Space Separator 2635
 
20.6%
Decimal Number 2485
 
19.5%
Uppercase Letter 14
 
0.1%
Dash Punctuation 7
 
0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 577
 
7.6%
산 566
 
7.4%
동 566
 
7.4%
지 527
 
6.9%
호 518
 
6.8%
광 517
 
6.8%
번 516
 
6.8%
시 513
 
6.7%
역 511
 
6.7%
구 494
 
6.5%
Other values (172) 2324
30.5%
Decimal Number
ValueCountFrequency (%)
1 586
23.6%
2 319
12.8%
4 244
9.8%
5 226
 
9.1%
3 215
 
8.7%
7 209
 
8.4%
0 188
 
7.6%
8 174
 
7.0%
6 164
 
6.6%
9 160
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
B 6
42.9%
A 3
21.4%
D 2
 
14.3%
C 2
 
14.3%
E 1
 
7.1%
Space Separator
ValueCountFrequency (%)
2635
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7629
59.7%
Common 5131
40.2%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 577
 
7.6%
산 566
 
7.4%
동 566
 
7.4%
지 527
 
6.9%
호 518
 
6.8%
광 517
 
6.8%
번 516
 
6.8%
시 513
 
6.7%
역 511
 
6.7%
구 494
 
6.5%
Other values (172) 2324
30.5%
Common
ValueCountFrequency (%)
2635
51.4%
1 586
 
11.4%
2 319
 
6.2%
4 244
 
4.8%
5 226
 
4.4%
3 215
 
4.2%
7 209
 
4.1%
0 188
 
3.7%
8 174
 
3.4%
6 164
 
3.2%
Other values (3) 171
 
3.3%
Latin
ValueCountFrequency (%)
B 6
42.9%
A 3
21.4%
D 2
 
14.3%
C 2
 
14.3%
E 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7629
59.7%
ASCII 5145
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2635
51.2%
1 586
 
11.4%
2 319
 
6.2%
4 244
 
4.7%
5 226
 
4.4%
3 215
 
4.2%
7 209
 
4.1%
0 188
 
3.7%
8 174
 
3.4%
6 164
 
3.2%
Other values (8) 185
 
3.6%
Hangul
ValueCountFrequency (%)
부 577
 
7.6%
산 566
 
7.4%
동 566
 
7.4%
지 527
 
6.9%
호 518
 
6.8%
광 517
 
6.8%
번 516
 
6.8%
시 513
 
6.7%
역 511
 
6.7%
구 494
 
6.5%
Other values (172) 2324
30.5%

도로명전체주소
Text

MISSING 

Distinct502
Distinct (%)98.4%
Missing7
Missing (%)1.4%
Memory size4.2 KiB
2024-04-18T15:18:11.930840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length29.5
Min length16

Characters and Unicode

Total characters15045
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

Unique494 ?
Unique (%)96.9%

Sample

1st row부산광역시 금정구 동천로 33 (회동동)
2nd row부산광역시 사상구 새벽시장로 24, 5호 (감전동)
3rd row부산광역시 북구 백양대로1016번길 45, 9호 (구포동)
4th row부산광역시 강서구 대저로 165, 2호 (대저1동)
5th row부산광역시 금정구 금강로379번길 16, 15호 (장전동)
ValueCountFrequency (%)
부산광역시 510
 
17.5%
1층 89
 
3.1%
사상구 83
 
2.8%
강서구 79
 
2.7%
금정구 61
 
2.1%
기장군 53
 
1.8%
해운대구 48
 
1.6%
사하구 42
 
1.4%
북구 35
 
1.2%
모라동 31
 
1.1%
Other values (861) 1886
64.7%
2024-04-18T15:18:12.438118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2407
 
16.0%
1 660
 
4.4%
동 618
 
4.1%
산 608
 
4.0%
부 574
 
3.8%
시 523
 
3.5%
광 519
 
3.4%
역 510
 
3.4%
구 498
 
3.3%
로 481
 
3.2%
Other values (237) 7647
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8665
57.6%
Decimal Number 2581
 
17.2%
Space Separator 2407
 
16.0%
Open Punctuation 460
 
3.1%
Close Punctuation 460
 
3.1%
Other Punctuation 353
 
2.3%
Dash Punctuation 103
 
0.7%
Uppercase Letter 16
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 618
 
7.1%
산 608
 
7.0%
부 574
 
6.6%
시 523
 
6.0%
광 519
 
6.0%
역 510
 
5.9%
구 498
 
5.7%
로 481
 
5.6%
길 327
 
3.8%
번 304
 
3.5%
Other values (217) 3703
42.7%
Decimal Number
ValueCountFrequency (%)
1 660
25.6%
2 361
14.0%
3 262
 
10.2%
5 237
 
9.2%
4 233
 
9.0%
6 187
 
7.2%
7 177
 
6.9%
0 169
 
6.5%
9 154
 
6.0%
8 141
 
5.5%
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 (%)
2407
100.0%
Open Punctuation
ValueCountFrequency (%)
( 460
100.0%
Close Punctuation
ValueCountFrequency (%)
) 460
100.0%
Other Punctuation
ValueCountFrequency (%)
, 353
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8665
57.6%
Common 6364
42.3%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 618
 
7.1%
산 608
 
7.0%
부 574
 
6.6%
시 523
 
6.0%
광 519
 
6.0%
역 510
 
5.9%
구 498
 
5.7%
로 481
 
5.6%
길 327
 
3.8%
번 304
 
3.5%
Other values (217) 3703
42.7%
Common
ValueCountFrequency (%)
2407
37.8%
1 660
 
10.4%
( 460
 
7.2%
) 460
 
7.2%
2 361
 
5.7%
, 353
 
5.5%
3 262
 
4.1%
5 237
 
3.7%
4 233
 
3.7%
6 187
 
2.9%
Other values (5) 744
 
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 8665
57.6%
ASCII 6380
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2407
37.7%
1 660
 
10.3%
( 460
 
7.2%
) 460
 
7.2%
2 361
 
5.7%
, 353
 
5.5%
3 262
 
4.1%
5 237
 
3.7%
4 233
 
3.7%
6 187
 
2.9%
Other values (10) 760
 
11.9%
Hangul
ValueCountFrequency (%)
동 618
 
7.1%
산 608
 
7.0%
부 574
 
6.6%
시 523
 
6.0%
광 519
 
6.0%
역 510
 
5.9%
구 498
 
5.7%
로 481
 
5.6%
길 327
 
3.8%
번 304
 
3.5%
Other values (217) 3703
42.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct196
Distinct (%)61.1%
Missing196
Missing (%)37.9%
Infinite0
Infinite (%)0.0%
Mean606153.96
Minimum46020
Maximum619963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-18T15:18:12.583587image/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
2024-04-18T15:18:12.728940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609845 10
 
1.9%
617819 9
 
1.7%
618270 8
 
1.5%
616807 8
 
1.5%
617825 6
 
1.2%
604842 6
 
1.2%
619903 5
 
1.0%
617823 5
 
1.0%
619961 5
 
1.0%
618800 5
 
1.0%
Other values (186) 254
49.1%
(Missing) 196
37.9%
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

Distinct505
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2024-04-18T15:18:13.012841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length6.1257253
Min length2

Characters and Unicode

Total characters3167
Distinct characters397
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

Unique495 ?
Unique (%)95.7%

Sample

1st row(주)우인물산
2nd row(주)한서
3rd row성일푸드
4th row한울 F&P
5th row산수갑산식품
ValueCountFrequency (%)
주식회사 48
 
8.0%
하나로축산 3
 
0.5%
금호식품 3
 
0.5%
농업회사법인 2
 
0.3%
한울 2
 
0.3%
food 2
 
0.3%
상도유통 2
 
0.3%
건창축산유통 2
 
0.3%
다원푸드 2
 
0.3%
늘푸른식품 2
 
0.3%
Other values (525) 529
88.6%
2024-04-18T15:18:13.432894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 181
 
5.7%
식 165
 
5.2%
드 148
 
4.7%
푸 144
 
4.5%
) 137
 
4.3%
( 137
 
4.3%
품 115
 
3.6%
80
 
2.5%
사 67
 
2.1%
산 62
 
2.0%
Other values (387) 1931
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2673
84.4%
Close Punctuation 137
 
4.3%
Open Punctuation 137
 
4.3%
Uppercase Letter 102
 
3.2%
Space Separator 80
 
2.5%
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 181
 
6.8%
식 165
 
6.2%
드 148
 
5.5%
푸 144
 
5.4%
품 115
 
4.3%
사 67
 
2.5%
산 62
 
2.3%
회 53
 
2.0%
이 46
 
1.7%
유 45
 
1.7%
Other values (345) 1647
61.6%
Uppercase Letter
ValueCountFrequency (%)
F 16
15.7%
O 9
 
8.8%
C 8
 
7.8%
D 8
 
7.8%
M 7
 
6.9%
T 6
 
5.9%
S 6
 
5.9%
A 5
 
4.9%
G 4
 
3.9%
E 4
 
3.9%
Other values (10) 29
28.4%
Lowercase Letter
ValueCountFrequency (%)
e 3
20.0%
h 3
20.0%
w 1
 
6.7%
k 1
 
6.7%
s 1
 
6.7%
o 1
 
6.7%
n 1
 
6.7%
i 1
 
6.7%
z 1
 
6.7%
p 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%
4 1
 
14.3%
1 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 137
100.0%
Open Punctuation
ValueCountFrequency (%)
( 137
100.0%
Space Separator
ValueCountFrequency (%)
80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2673
84.4%
Common 377
 
11.9%
Latin 117
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 181
 
6.8%
식 165
 
6.2%
드 148
 
5.5%
푸 144
 
5.4%
품 115
 
4.3%
사 67
 
2.5%
산 62
 
2.3%
회 53
 
2.0%
이 46
 
1.7%
유 45
 
1.7%
Other values (345) 1647
61.6%
Latin
ValueCountFrequency (%)
F 16
 
13.7%
O 9
 
7.7%
C 8
 
6.8%
D 8
 
6.8%
M 7
 
6.0%
T 6
 
5.1%
S 6
 
5.1%
A 5
 
4.3%
G 4
 
3.4%
E 4
 
3.4%
Other values (21) 44
37.6%
Common
ValueCountFrequency (%)
) 137
36.3%
( 137
36.3%
80
21.2%
& 9
 
2.4%
2 5
 
1.3%
. 4
 
1.1%
＆ 1
 
0.3%
/ 1
 
0.3%
4 1
 
0.3%
- 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2673
84.4%
ASCII 493
 
15.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 181
 
6.8%
식 165
 
6.2%
드 148
 
5.5%
푸 144
 
5.4%
품 115
 
4.3%
사 67
 
2.5%
산 62
 
2.3%
회 53
 
2.0%
이 46
 
1.7%
유 45
 
1.7%
Other values (345) 1647
61.6%
ASCII
ValueCountFrequency (%)
) 137
27.8%
( 137
27.8%
80
16.2%
F 16
 
3.2%
O 9
 
1.8%
& 9
 
1.8%
C 8
 
1.6%
D 8
 
1.6%
M 7
 
1.4%
T 6
 
1.2%
Other values (31) 76
15.4%
None
ValueCountFrequency (%)
＆ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct517
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0166806 × 1013
Minimum2.0070215 × 1013
Maximum2.0210224 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-18T15:18:13.567396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0070215 × 1013
5-th percentile2.0111031 × 1013
Q12.0150112 × 1013
median2.0170427 × 1013
Q32.0191022 × 1013
95-th percentile2.0201205 × 1013
Maximum2.0210224 × 1013
Range1.40009 × 1011
Interquartile range (IQR)4.091007 × 1010

Descriptive statistics

Standard deviation3.1175351 × 1010
Coefficient of variation (CV)0.0015458745
Kurtosis-0.52859118
Mean2.0166806 × 1013
Median Absolute Deviation (MAD)2.0590042 × 1010
Skewness-0.64892754
Sum1.0426239 × 1016
Variance9.7190248 × 1020
MonotonicityNot monotonic
2024-04-18T15:18:13.722362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200811093647 1
 
0.2%
20200319174224 1
 
0.2%
20180711164606 1
 
0.2%
20191016092137 1
 
0.2%
20171206180112 1
 
0.2%
20180123171310 1
 
0.2%
20180208173802 1
 
0.2%
20200724144130 1
 
0.2%
20200310110057 1
 
0.2%
20180305171306 1
 
0.2%
Other values (507) 507
98.1%
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 (%)
20210224172043 1
0.2%
20210222094350 1
0.2%
20210219120546 1
0.2%
20210215182939 1
0.2%
20210209095905 1
0.2%
20210208165749 1
0.2%
20210205171431 1
0.2%
20210203172813 1
0.2%
20210128110210 1
0.2%
20210126105241 1
0.2%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
I
375 
U
142 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 375
72.5%
U 142
 
27.5%

Length

2024-04-18T15:18:13.874008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:18:13.964357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 375
72.5%
u 142
 
27.5%

데이터갱신일자
Date

Distinct171
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-26 02:40:00
2024-04-18T15:18:14.067647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T15:18:14.197872image/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 size4.2 KiB
식육가공업
492 
유가공업
 
15
알가공업
 
10

Length

Max length5
Median length5
Mean length4.9516441
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 492
95.2%
유가공업 15
 
2.9%
알가공업 10
 
1.9%

Length

2024-04-18T15:18:14.334493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:18:14.438584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 492
95.2%
유가공업 15
 
2.9%
알가공업 10
 
1.9%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct455
Distinct (%)91.5%
Missing20
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean386567.84
Minimum367063
Maximum407871.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-18T15:18:14.549628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367063
5-th percentile374908.9
Q1380476.51
median386207.23
Q3392584.82
95-th percentile401235.49
Maximum407871.51
Range40808.509
Interquartile range (IQR)12108.304

Descriptive statistics

Standard deviation8067.2382
Coefficient of variation (CV)0.020868881
Kurtosis-0.59323925
Mean386567.84
Median Absolute Deviation (MAD)6059.6889
Skewness0.19512447
Sum1.9212422 × 108
Variance65080332
MonotonicityNot monotonic
2024-04-18T15:18:14.685491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
378029.199873867 3
 
0.6%
379756.541692821 3
 
0.6%
385126.288915365 3
 
0.6%
379528.77648609 3
 
0.6%
380958.320754697 3
 
0.6%
392605.108577419 3
 
0.6%
374145.981953602 2
 
0.4%
381049.837892828 2
 
0.4%
380961.325364096 2
 
0.4%
392880.268663129 2
 
0.4%
Other values (445) 471
91.1%
(Missing) 20
 
3.9%
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%
369710.36638299 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 

Distinct455
Distinct (%)91.5%
Missing20
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean189155.74
Minimum174550
Maximum206945.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-18T15:18:14.829702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174550
5-th percentile177375.63
Q1185789.88
median190065.42
Q3192820.9
95-th percentile198355.4
Maximum206945.8
Range32395.801
Interquartile range (IQR)7031.0251

Descriptive statistics

Standard deviation6482.3456
Coefficient of variation (CV)0.034269886
Kurtosis0.33260126
Mean189155.74
Median Absolute Deviation (MAD)3389.1122
Skewness-0.047016903
Sum94010402
Variance42020805
MonotonicityNot monotonic
2024-04-18T15:18:14.981842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192820.90208319 3
 
0.6%
184718.291570454 3
 
0.6%
185499.312532294 3
 
0.6%
178780.391510637 3
 
0.6%
190065.417663202 3
 
0.6%
193813.351507992 3
 
0.6%
190113.650101423 2
 
0.4%
190457.969927552 2
 
0.4%
190316.028054584 2
 
0.4%
181864.088029051 2
 
0.4%
Other values (445) 471
91.1%
(Missing) 20
 
3.9%
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 size4.2 KiB
축산물가공업
517 

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 517
100.0%

Length

2024-04-18T15:18:15.109288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:18:15.201314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물가공업 517
100.0%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
식육가공업
492 
유가공업
 
15
알가공업
 
10

Length

Max length5
Median length5
Mean length4.9516441
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육가공업 492
95.2%
유가공업 15
 
2.9%
알가공업 10
 
1.9%

Length

2024-04-18T15:18:15.291800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:18:15.397481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 492
95.2%
유가공업 15
 
2.9%
알가공업 10
 
1.9%

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing517
Missing (%)100.0%
Memory size4.7 KiB

권리주체일련번호
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
000
346 
L00
171 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 346
66.9%
L00 171
33.1%

Length

2024-04-18T15:18:15.538232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:18:15.661343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 346
66.9%
l00 171
33.1%

총종업원수
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)4.7%
Missing4
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean1.9064327
Minimum0
Maximum216
Zeros405
Zeros (%)78.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2024-04-18T15:18:15.774405image/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 deviation11.934842
Coefficient of variation (CV)6.2603004
Kurtosis231.53673
Mean1.9064327
Median Absolute Deviation (MAD)0
Skewness14.308561
Sum978
Variance142.44045
MonotonicityNot monotonic
2024-04-18T15:18:15.901763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 405
78.3%
3 20
 
3.9%
2 18
 
3.5%
4 14
 
2.7%
1 12
 
2.3%
5 8
 
1.5%
7 8
 
1.5%
6 6
 
1.2%
11 3
 
0.6%
15 2
 
0.4%
Other values (14) 17
 
3.3%
(Missing) 4
 
0.8%
ValueCountFrequency (%)
0 405
78.3%
1 12
 
2.3%
2 18
 
3.5%
3 20
 
3.9%
4 14
 
2.7%
5 8
 
1.5%
6 6
 
1.2%
7 8
 
1.5%
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 

Missing517
Missing (%)100.0%
Memory size4.7 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
01축산가공업07_22_05_P626000062600000042013001220130625<NA>4취소/말소/만료/정지/중지4말소20200810<NA><NA><NA>0515287572128.0<NA>부산광역시 금정구 회동동 517번지 53호부산광역시 금정구 동천로 33 (회동동)609845(주)우인물산20200811093647U2020-08-13 02:40:00.0식육가공업393245.347922194148.260033축산물가공업식육가공업<NA>L000<NA>
12축산가공업07_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>
23축산가공업07_22_05_P626000062600000042008000420080418<NA>4취소/말소/만료/정지/중지3인허가취소<NA><NA><NA><NA><NA>27.32616806부산광역시 북구 구포동 898번지 9호부산광역시 북구 백양대로1016번길 45, 9호 (구포동)616806성일푸드20121119145005I2018-10-04 11:12:49.0식육가공업381794.348246190410.166258축산물가공업식육가공업<NA>0004<NA>
34축산가공업07_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>
45축산가공업07_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>
56축산가공업07_22_05_P626000062600000042009001820091104<NA>4취소/말소/만료/정지/중지3인허가취소<NA><NA><NA><NA>0517015589122.0619903부산광역시 기장군 기장읍 대라리 1017번지 1호부산광역시 기장군 기장읍 차성로277번길 17, 1호619903영지푸드20121119144517I2018-10-04 11:12:49.0식육가공업401232.954023195890.27581축산물가공업식육가공업<NA>0004<NA>
67축산가공업07_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>
78축산가공업07_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>
89축산가공업07_22_05_P626000062600000042009000320090220<NA>4취소/말소/만료/정지/중지3인허가취소<NA><NA><NA><NA>051518166112.3609819부산광역시 금정구 부곡동 225번지 2호부산광역시 금정구 중앙대로1719번길 61, 2호 (부곡동)609819워낭식품20121114110744I2018-10-04 11:12:49.0식육가공업390113.926342195139.233526축산물가공업식육가공업<NA>0000<NA>
910축산가공업07_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>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
507508축산가공업07_22_05_P626000062600000042019000520190213<NA>1영업/정상0정상<NA><NA><NA><NA>051303910598.83<NA>부산광역시 사상구 모라동 277번지 1호부산광역시 사상구 사상로551번길 39 (모라동)<NA>천익식품20190213113856I2019-02-15 02:21:21.0식육가공업380958.320755190065.417663축산물가공업식육가공업<NA>0000<NA>
508509축산가공업07_22_05_P626000062600000042019001020190326<NA>1영업/정상0정상<NA><NA><NA><NA>0517242555143.0<NA>부산광역시 해운대구 재송동 1119번지 8호부산광역시 해운대구 재반로64번길 19 (재송동)<NA>알천에프앤비20190326143425I2019-03-28 02:20:07.0식육가공업393670.265617189390.089122축산물가공업식육가공업<NA>0000<NA>
509510축산가공업07_22_05_P626000062600000042018003220181213<NA>1영업/정상0정상<NA><NA><NA><NA>0519929012387.75<NA>부산광역시 기장군 기장읍 대라리 935번지 0호 보성서플라이어 0동부산광역시 기장군 기장읍 차성서로101번길 10, 보성서플라이어 0동<NA>(주)아라푸드20201109092021U2020-11-11 02:40:00.0식육가공업401021.377898195923.407617축산물가공업식육가공업<NA>L000<NA>
510511축산가공업07_22_05_P626000062600000042019000920190318<NA>1영업/정상0정상<NA><NA><NA><NA>0517238334168.86<NA>부산광역시 해운대구 반송동 250번지 2655호부산광역시 해운대구 아랫반송로50번길 74 (반송동)<NA>(주)한담푸드20200819164541U2020-08-21 02:40:00.0식육가공업401805.732183195439.542437축산물가공업식육가공업<NA>L000<NA>
511512축산가공업07_22_05_P626000062600000042019000320190124<NA>1영업/정상0정상<NA><NA><NA><NA>051895825385.74<NA>부산광역시 부산진구 개금동 394번지 2호부산광역시 부산진구 백양대로252번길 23, 지하1층 (개금동)<NA>주식회사 정드네푸드20200724142542U2020-07-26 02:40:00.0식육가공업384215.645164186093.268671축산물가공업식육가공업<NA>L000<NA>
512513축산가공업07_22_05_P626000062600000042019000420190125<NA>1영업/정상0정상<NA><NA><NA><NA>0513037580372.0<NA>부산광역시 사상구 모라동 277번지 1호 0동부산광역시 사상구 사상로551번길 39, 2층 (모라동)<NA>제이엔케이(J&K)20201208163617U2020-12-10 02:40:00.0식육가공업380958.320755190065.417663축산물가공업식육가공업<NA>0000<NA>
513514축산가공업07_22_05_P626000062600000042019000220190122<NA>1영업/정상0정상<NA><NA><NA><NA>051404500027.8<NA>부산광역시 영도구 동삼동 628번지 1호 목장원 0동부산광역시 영도구 절영로 355, 목장원 0동 (동삼동)<NA>(주)푸드웨이 목장원20190122150610I2019-01-24 02:20:58.0식육가공업387626.970495176665.861123축산물가공업식육가공업<NA>L000<NA>
514515축산가공업07_22_05_P626000062600000042018003020181122<NA>1영업/정상0정상<NA><NA><NA><NA><NA>132.0<NA>부산광역시 금정구 서동 162번지 1호부산광역시 금정구 서부로 57-1 (서동)<NA>비엔비푸드20191106111615U2019-11-08 02:40:00.0식육가공업391186.877866192996.012984축산물가공업식육가공업<NA>0000<NA>
515516축산가공업07_22_05_P334000033400000042011000120110719<NA>1영업/정상0정상<NA><NA><NA><NA><NA>2760.0<NA>부산광역시 사하구 장림동 463-3번지부산광역시 사하구 다대로354번길 44 (장림동)49469화인푸드20111120154547I2018-08-31 23:59:59.0식육가공업379949.621766176329.790235축산물가공업식육가공업<NA>000<NA><NA>
516517축산가공업07_22_05_P335000033500000042006000120061017<NA>1영업/정상0정상<NA><NA><NA><NA>528-9206464.1<NA>부산광역시 금정구 금사동 108-10번지부산광역시 금정구 공단서로8번길 26 (금사동)46332(주)계원20131231094615I2018-08-31 23:59:59.0식육가공업392294.440121192753.718233축산물가공업식육가공업<NA>000<NA><NA>