Overview

Dataset statistics

Number of variables33
Number of observations1008
Missing cells8441
Missing cells (%)25.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory279.7 KiB
Average record size in memory284.1 B

Variable types

Numeric12
Categorical11
Unsupported5
Text4
DateTime1

Dataset

Description6270000_대구광역시_07_22_06_P_식육포장처리업_5월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000089629&dataSetDetailId=DDI_0000089685&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
축산업무구분명 has constant value ""Constant
축산물가공업구분명 has constant value ""Constant
상세영업상태코드 is highly imbalanced (53.7%)Imbalance
상세영업상태명 is highly imbalanced (53.7%)Imbalance
휴업종료일자 is highly imbalanced (98.6%)Imbalance
인허가취소일자 has 1008 (100.0%) missing valuesMissing
폐업일자 has 620 (61.5%) missing valuesMissing
휴업시작일자 has 1001 (99.3%) missing valuesMissing
재개업일자 has 998 (99.0%) missing valuesMissing
소재지전화 has 512 (50.8%) missing valuesMissing
소재지우편번호 has 1008 (100.0%) missing valuesMissing
도로명전체주소 has 47 (4.7%) missing valuesMissing
도로명우편번호 has 200 (19.8%) missing valuesMissing
업태구분명 has 1008 (100.0%) missing valuesMissing
축산일련번호 has 1008 (100.0%) missing valuesMissing
총종업원수 has 1008 (100.0%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 24.31648361)Skewed
도로명우편번호 is highly skewed (γ1 = 20.05085802)Skewed
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
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 593 (58.8%) zerosZeros

Reproduction

Analysis started2024-04-20 20:54:13.332103
Analysis finished2024-04-20 20:54:14.408642
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1008
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean504.5
Minimum1
Maximum1008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-04-21T05:54:14.551636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile51.35
Q1252.75
median504.5
Q3756.25
95-th percentile957.65
Maximum1008
Range1007
Interquartile range (IQR)503.5

Descriptive statistics

Standard deviation291.12884
Coefficient of variation (CV)0.5770641
Kurtosis-1.2
Mean504.5
Median Absolute Deviation (MAD)252
Skewness0
Sum508536
Variance84756
MonotonicityStrictly increasing
2024-04-21T05:54:14.845778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
679 1
 
0.1%
666 1
 
0.1%
667 1
 
0.1%
668 1
 
0.1%
669 1
 
0.1%
670 1
 
0.1%
671 1
 
0.1%
672 1
 
0.1%
673 1
 
0.1%
Other values (998) 998
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1008 1
0.1%
1007 1
0.1%
1006 1
0.1%
1005 1
0.1%
1004 1
0.1%
1003 1
0.1%
1002 1
0.1%
1001 1
0.1%
1000 1
0.1%
999 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
식육포장처리업
1008 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 1008
100.0%

Length

2024-04-21T05:54:15.159374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:54:15.445933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1008
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
07_22_06_P
1008 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_06_P
2nd row07_22_06_P
3rd row07_22_06_P
4th row07_22_06_P
5th row07_22_06_P

Common Values

ValueCountFrequency (%)
07_22_06_P 1008
100.0%

Length

2024-04-21T05:54:15.751506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:54:16.042740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_06_p 1008
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449017.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-04-21T05:54:16.308491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation19546.184
Coefficient of variation (CV)0.0056671739
Kurtosis-0.98524599
Mean3449017.9
Median Absolute Deviation (MAD)20000
Skewness-0.072281108
Sum3.47661 × 109
Variance3.8205331 × 108
MonotonicityIncreasing
2024-04-21T05:54:16.680680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 353
35.0%
3420000 158
15.7%
3470000 150
14.9%
3430000 119
 
11.8%
3480000 117
 
11.6%
3460000 56
 
5.6%
3440000 42
 
4.2%
3410000 13
 
1.3%
ValueCountFrequency (%)
3410000 13
 
1.3%
3420000 158
15.7%
3430000 119
 
11.8%
3440000 42
 
4.2%
3450000 353
35.0%
3460000 56
 
5.6%
3470000 150
14.9%
3480000 117
 
11.6%
ValueCountFrequency (%)
3480000 117
 
11.6%
3470000 150
14.9%
3460000 56
 
5.6%
3450000 353
35.0%
3440000 42
 
4.2%
3430000 119
 
11.8%
3420000 158
15.7%
3410000 13
 
1.3%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1008
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4490179 × 1017
Minimum3.41 × 1017
Maximum3.4800001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-04-21T05:54:17.081891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.41 × 1017
5-th percentile3.4200001 × 1017
Q13.4300001 × 1017
median3.4500001 × 1017
Q33.47 × 1017
95-th percentile3.4800001 × 1017
Maximum3.4800001 × 1017
Range7.00001 × 1015
Interquartile range (IQR)3.99999 × 1015

Descriptive statistics

Standard deviation1.9546183 × 1015
Coefficient of variation (CV)0.0056671735
Kurtosis-0.98524589
Mean3.4490179 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.072280709
Sum-2.8271289 × 1018
Variance3.8205327 × 1030
MonotonicityNot monotonic
2024-04-21T05:54:17.541603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000010420160003 1
 
0.1%
345000010420190008 1
 
0.1%
345000010420200002 1
 
0.1%
345000010420200003 1
 
0.1%
345000010420180018 1
 
0.1%
345000010420190017 1
 
0.1%
345000010420190018 1
 
0.1%
345000010420190015 1
 
0.1%
345000010420190019 1
 
0.1%
345000010420190011 1
 
0.1%
Other values (998) 998
99.0%
ValueCountFrequency (%)
341000000420040001 1
0.1%
341000000420090001 1
0.1%
341000010420120001 1
0.1%
341000010420140001 1
0.1%
341000010420140002 1
0.1%
341000010420160001 1
0.1%
341000010420160002 1
0.1%
341000010420160003 1
0.1%
341000010420170001 1
0.1%
341000010420170002 1
0.1%
ValueCountFrequency (%)
348000010420210006 1
0.1%
348000010420210005 1
0.1%
348000010420210004 1
0.1%
348000010420210003 1
0.1%
348000010420210002 1
0.1%
348000010420210001 1
0.1%
348000010420200016 1
0.1%
348000010420200015 1
0.1%
348000010420200014 1
0.1%
348000010420200013 1
0.1%

인허가일자
Real number (ℝ)

Distinct865
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20131431
Minimum19870213
Maximum20210525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-04-21T05:54:17.968996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19870213
5-th percentile20031121
Q120110310
median20140472
Q320170812
95-th percentile20200506
Maximum20210525
Range340312
Interquartile range (IQR)60501.75

Descriptive statistics

Standard deviation52637.257
Coefficient of variation (CV)0.0026146804
Kurtosis1.0557987
Mean20131431
Median Absolute Deviation (MAD)30250.5
Skewness-0.9691368
Sum2.0292482 × 1010
Variance2.7706809 × 109
MonotonicityNot monotonic
2024-04-21T05:54:18.282359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140821 4
 
0.4%
20131029 4
 
0.4%
20170313 4
 
0.4%
20131213 3
 
0.3%
20150507 3
 
0.3%
20170516 3
 
0.3%
20120709 3
 
0.3%
20050124 3
 
0.3%
20140714 3
 
0.3%
20110525 3
 
0.3%
Other values (855) 975
96.7%
ValueCountFrequency (%)
19870213 1
0.1%
19911023 1
0.1%
19940404 1
0.1%
19960420 1
0.1%
19960628 2
0.2%
19960910 1
0.1%
19961107 1
0.1%
19970110 1
0.1%
19970721 1
0.1%
19980401 1
0.1%
ValueCountFrequency (%)
20210525 1
0.1%
20210524 1
0.1%
20210430 1
0.1%
20210423 1
0.1%
20210421 1
0.1%
20210415 2
0.2%
20210326 1
0.1%
20210318 1
0.1%
20210315 1
0.1%
20210303 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1008
Missing (%)100.0%
Memory size9.0 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
1
614 
3
379 
4
 
12
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 614
60.9%
3 379
37.6%
4 12
 
1.2%
2 3
 
0.3%

Length

2024-04-21T05:54:18.560660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:54:18.771802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 614
60.9%
3 379
37.6%
4 12
 
1.2%
2 3
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
영업/정상
614 
폐업
379 
취소/말소/만료/정지/중지
 
12
휴업
 
3

Length

Max length14
Median length5
Mean length3.9702381
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 614
60.9%
폐업 379
37.6%
취소/말소/만료/정지/중지 12
 
1.2%
휴업 3
 
0.3%

Length

2024-04-21T05:54:18.974315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:54:19.162215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 614
60.9%
폐업 379
37.6%
취소/말소/만료/정지/중지 12
 
1.2%
휴업 3
 
0.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
614 
2
379 
4
 
10
1
 
3
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
0 614
60.9%
2 379
37.6%
4 10
 
1.0%
1 3
 
0.3%
3 2
 
0.2%

Length

2024-04-21T05:54:19.389337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:54:19.573989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 614
60.9%
2 379
37.6%
4 10
 
1.0%
1 3
 
0.3%
3 2
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
정상
614 
폐업
379 
말소
 
10
휴업
 
3
행정처분
 
2

Length

Max length4
Median length2
Mean length2.0039683
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 614
60.9%
폐업 379
37.6%
말소 10
 
1.0%
휴업 3
 
0.3%
행정처분 2
 
0.2%

Length

2024-04-21T05:54:19.828574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:54:20.037374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 614
60.9%
폐업 379
37.6%
말소 10
 
1.0%
휴업 3
 
0.3%
행정처분 2
 
0.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct356
Distinct (%)91.8%
Missing620
Missing (%)61.5%
Infinite0
Infinite (%)0.0%
Mean20146687
Minimum20040131
Maximum20210531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-04-21T05:54:20.476763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040131
5-th percentile20061052
Q120120272
median20150617
Q320180473
95-th percentile20201022
Maximum20210531
Range170400
Interquartile range (IQR)60201

Descriptive statistics

Standard deviation42112.168
Coefficient of variation (CV)0.0020902776
Kurtosis-0.42271591
Mean20146687
Median Absolute Deviation (MAD)30208
Skewness-0.50256268
Sum7.8169146 × 109
Variance1.7734347 × 109
MonotonicityNot monotonic
2024-04-21T05:54:20.777928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160120 3
 
0.3%
20111116 3
 
0.3%
20170605 2
 
0.2%
20210408 2
 
0.2%
20180911 2
 
0.2%
20200213 2
 
0.2%
20160325 2
 
0.2%
20210401 2
 
0.2%
20080124 2
 
0.2%
20140224 2
 
0.2%
Other values (346) 366
36.3%
(Missing) 620
61.5%
ValueCountFrequency (%)
20040131 1
0.1%
20040825 1
0.1%
20040908 1
0.1%
20041104 1
0.1%
20041110 1
0.1%
20050315 1
0.1%
20050713 1
0.1%
20050915 1
0.1%
20051014 1
0.1%
20051123 1
0.1%
ValueCountFrequency (%)
20210531 1
0.1%
20210526 1
0.1%
20210521 1
0.1%
20210501 1
0.1%
20210414 1
0.1%
20210408 2
0.2%
20210401 2
0.2%
20210316 1
0.1%
20210302 2
0.2%
20210224 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing1001
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean20157893
Minimum20080502
Maximum20201105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-04-21T05:54:21.001809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080502
5-th percentile20086719
Q120130966
median20180202
Q320190755
95-th percentile20200865
Maximum20201105
Range120603
Interquartile range (IQR)59789.5

Descriptive statistics

Standard deviation48159.209
Coefficient of variation (CV)0.0023890994
Kurtosis-0.76294748
Mean20157893
Median Absolute Deviation (MAD)20103
Skewness-0.97082137
Sum1.4110525 × 108
Variance2.3193094 × 109
MonotonicityNot monotonic
2024-04-21T05:54:21.208997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20181205 1
 
0.1%
20201105 1
 
0.1%
20200305 1
 
0.1%
20080502 1
 
0.1%
20101224 1
 
0.1%
20180202 1
 
0.1%
20160707 1
 
0.1%
(Missing) 1001
99.3%
ValueCountFrequency (%)
20080502 1
0.1%
20101224 1
0.1%
20160707 1
0.1%
20180202 1
0.1%
20181205 1
0.1%
20200305 1
0.1%
20201105 1
0.1%
ValueCountFrequency (%)
20201105 1
0.1%
20200305 1
0.1%
20181205 1
0.1%
20180202 1
0.1%
20160707 1
0.1%
20101224 1
0.1%
20080502 1
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
<NA>
1006 
20190604
 
1
20170706
 
1

Length

Max length8
Median length4
Mean length4.0079365
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1006
99.8%
20190604 1
 
0.1%
20170706 1
 
0.1%

Length

2024-04-21T05:54:21.476910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:54:21.674868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1006
99.8%
20190604 1
 
0.1%
20170706 1
 
0.1%

재개업일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing998
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean20145835
Minimum20041230
Maximum20200827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-04-21T05:54:21.834674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041230
5-th percentile20045321
Q120123498
median20166152
Q320187960
95-th percentile20196099
Maximum20200827
Range159597
Interquartile range (IQR)64462

Descriptive statistics

Standard deviation58313.079
Coefficient of variation (CV)0.0028945476
Kurtosis-0.12146794
Mean20145835
Median Absolute Deviation (MAD)24114
Skewness-1.1549542
Sum2.0145835 × 108
Variance3.4004152 × 109
MonotonicityNot monotonic
2024-04-21T05:54:22.051275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20171201 1
 
0.1%
20190212 1
 
0.1%
20200827 1
 
0.1%
20041230 1
 
0.1%
20050321 1
 
0.1%
20181203 1
 
0.1%
20161104 1
 
0.1%
20160907 1
 
0.1%
20111028 1
 
0.1%
20190321 1
 
0.1%
(Missing) 998
99.0%
ValueCountFrequency (%)
20041230 1
0.1%
20050321 1
0.1%
20111028 1
0.1%
20160907 1
0.1%
20161104 1
0.1%
20171201 1
0.1%
20181203 1
0.1%
20190212 1
0.1%
20190321 1
0.1%
20200827 1
0.1%
ValueCountFrequency (%)
20200827 1
0.1%
20190321 1
0.1%
20190212 1
0.1%
20181203 1
0.1%
20171201 1
0.1%
20161104 1
0.1%
20160907 1
0.1%
20111028 1
0.1%
20050321 1
0.1%
20041230 1
0.1%

소재지전화
Text

MISSING 

Distinct472
Distinct (%)95.2%
Missing512
Missing (%)50.8%
Memory size8.0 KiB
2024-04-21T05:54:22.885022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length8
Mean length9.8850806
Min length5

Characters and Unicode

Total characters4903
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique451 ?
Unique (%)90.9%

Sample

1st row421-9245
2nd row561-1981
3rd row421-9245
4th row070-4184-4932
5th row427-8885
ValueCountFrequency (%)
053-381-3834 4
 
0.8%
565-9998 3
 
0.6%
768-4910 2
 
0.4%
560-9999 2
 
0.4%
561-5533 2
 
0.4%
053-742-9245 2
 
0.4%
588-3900 2
 
0.4%
743-7711 2
 
0.4%
762-0775 2
 
0.4%
621-7345 2
 
0.4%
Other values (462) 473
95.4%
2024-04-21T05:54:23.982499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 742
15.1%
- 673
13.7%
3 637
13.0%
0 507
10.3%
6 400
8.2%
2 391
8.0%
8 335
6.8%
9 324
6.6%
1 313
6.4%
4 290
 
5.9%
Other values (3) 291
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4226
86.2%
Dash Punctuation 673
 
13.7%
Other Punctuation 3
 
0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 742
17.6%
3 637
15.1%
0 507
12.0%
6 400
9.5%
2 391
9.3%
8 335
7.9%
9 324
7.7%
1 313
7.4%
4 290
 
6.9%
7 287
 
6.8%
Dash Punctuation
ValueCountFrequency (%)
- 673
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4903
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 742
15.1%
- 673
13.7%
3 637
13.0%
0 507
10.3%
6 400
8.2%
2 391
8.0%
8 335
6.8%
9 324
6.6%
1 313
6.4%
4 290
 
5.9%
Other values (3) 291
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4903
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 742
15.1%
- 673
13.7%
3 637
13.0%
0 507
10.3%
6 400
8.2%
2 391
8.0%
8 335
6.8%
9 324
6.6%
1 313
6.4%
4 290
 
5.9%
Other values (3) 291
 
5.9%

소재지면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct377
Distinct (%)37.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263.80343
Minimum0
Maximum37289
Zeros593
Zeros (%)58.8%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-04-21T05:54:24.239730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3244.075
95-th percentile1125.85
Maximum37289
Range37289
Interquartile range (IQR)244.075

Descriptive statistics

Standard deviation1281.9849
Coefficient of variation (CV)4.8596219
Kurtosis693.19093
Mean263.80343
Median Absolute Deviation (MAD)0
Skewness24.316484
Sum265913.86
Variance1643485.4
MonotonicityNot monotonic
2024-04-21T05:54:24.495090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 593
58.8%
583.0 3
 
0.3%
211.0 3
 
0.3%
708.0 3
 
0.3%
331.0 3
 
0.3%
232.0 2
 
0.2%
1429.0 2
 
0.2%
304.0 2
 
0.2%
738.34 2
 
0.2%
553.0 2
 
0.2%
Other values (367) 393
39.0%
ValueCountFrequency (%)
0.0 593
58.8%
21.0 1
 
0.1%
34.4 1
 
0.1%
40.3 1
 
0.1%
44.8 1
 
0.1%
54.21 1
 
0.1%
54.55 1
 
0.1%
62.12 1
 
0.1%
63.0 1
 
0.1%
67.86 1
 
0.1%
ValueCountFrequency (%)
37289.0 1
0.1%
6622.0 1
0.1%
4679.0 1
0.1%
4330.0 1
0.1%
3669.09 1
0.1%
3521.8 1
0.1%
3240.0 1
0.1%
3135.0 2
0.2%
3017.0 1
0.1%
2912.0 1
0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1008
Missing (%)100.0%
Memory size9.0 KiB

소재지전체주소
Text

Distinct899
Distinct (%)89.5%
Missing3
Missing (%)0.3%
Memory size8.0 KiB
2024-04-21T05:54:25.587370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length38
Mean length22.061692
Min length12

Characters and Unicode

Total characters22172
Distinct characters181
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

Unique814 ?
Unique (%)81.0%

Sample

1st row대구광역시 중구 대신동 178-8번지
2nd row대구광역시 중구 남성로 31
3rd row대구광역시 중구 달성동 10-7번지
4th row대구광역시 중구 남산동 2654-6번지
5th row대구광역시 중구 달성동 33-5번지 1층
ValueCountFrequency (%)
대구광역시 1005
23.6%
북구 352
 
8.3%
동구 158
 
3.7%
달서구 149
 
3.5%
서구 118
 
2.8%
달성군 117
 
2.7%
수성구 56
 
1.3%
남구 42
 
1.0%
노원동3가 33
 
0.8%
산격동 32
 
0.8%
Other values (1063) 2197
51.6%
2024-04-21T05:54:26.898204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4245
19.1%
구 1921
 
8.7%
동 1101
 
5.0%
대 1054
 
4.8%
1 1042
 
4.7%
시 1009
 
4.6%
광 1005
 
4.5%
역 1005
 
4.5%
지 843
 
3.8%
번 816
 
3.7%
Other values (171) 8131
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12585
56.8%
Decimal Number 4497
 
20.3%
Space Separator 4245
 
19.1%
Dash Punctuation 803
 
3.6%
Uppercase Letter 15
 
0.1%
Other Punctuation 11
 
< 0.1%
Close Punctuation 8
 
< 0.1%
Open Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1921
15.3%
동 1101
 
8.7%
대 1054
 
8.4%
시 1009
 
8.0%
광 1005
 
8.0%
역 1005
 
8.0%
지 843
 
6.7%
번 816
 
6.5%
북 352
 
2.8%
서 311
 
2.5%
Other values (153) 3168
25.2%
Decimal Number
ValueCountFrequency (%)
1 1042
23.2%
2 558
12.4%
3 462
10.3%
4 371
 
8.2%
7 369
 
8.2%
6 364
 
8.1%
0 359
 
8.0%
5 347
 
7.7%
8 324
 
7.2%
9 301
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
A 6
40.0%
B 6
40.0%
C 3
20.0%
Space Separator
ValueCountFrequency (%)
4245
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 803
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12585
56.8%
Common 9572
43.2%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1921
15.3%
동 1101
 
8.7%
대 1054
 
8.4%
시 1009
 
8.0%
광 1005
 
8.0%
역 1005
 
8.0%
지 843
 
6.7%
번 816
 
6.5%
북 352
 
2.8%
서 311
 
2.5%
Other values (153) 3168
25.2%
Common
ValueCountFrequency (%)
4245
44.3%
1 1042
 
10.9%
- 803
 
8.4%
2 558
 
5.8%
3 462
 
4.8%
4 371
 
3.9%
7 369
 
3.9%
6 364
 
3.8%
0 359
 
3.8%
5 347
 
3.6%
Other values (5) 652
 
6.8%
Latin
ValueCountFrequency (%)
A 6
40.0%
B 6
40.0%
C 3
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12585
56.8%
ASCII 9587
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4245
44.3%
1 1042
 
10.9%
- 803
 
8.4%
2 558
 
5.8%
3 462
 
4.8%
4 371
 
3.9%
7 369
 
3.8%
6 364
 
3.8%
0 359
 
3.7%
5 347
 
3.6%
Other values (8) 667
 
7.0%
Hangul
ValueCountFrequency (%)
구 1921
15.3%
동 1101
 
8.7%
대 1054
 
8.4%
시 1009
 
8.0%
광 1005
 
8.0%
역 1005
 
8.0%
지 843
 
6.7%
번 816
 
6.5%
북 352
 
2.8%
서 311
 
2.5%
Other values (153) 3168
25.2%

도로명전체주소
Text

MISSING 

Distinct858
Distinct (%)89.3%
Missing47
Missing (%)4.7%
Memory size8.0 KiB
2024-04-21T05:54:28.195269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length45
Mean length25.390219
Min length19

Characters and Unicode

Total characters24400
Distinct characters234
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

Unique779 ?
Unique (%)81.1%

Sample

1st row대구광역시 중구 달성공원로 8 (대신동)
2nd row대구광역시 중구 남성로 7-1 (남성로)
3rd row대구광역시 중구 달성로 131-1 (달성동)
4th row대구광역시 중구 남산로17길 18 (남산동)
5th row대구광역시 중구 달성로21길 48, 1층 (달성동)
ValueCountFrequency (%)
대구광역시 961
 
19.2%
북구 350
 
7.0%
동구 149
 
3.0%
달서구 122
 
2.4%
서구 119
 
2.4%
달성군 116
 
2.3%
1층 71
 
1.4%
수성구 56
 
1.1%
남구 38
 
0.8%
중리동 29
 
0.6%
Other values (1163) 2997
59.8%
2024-04-21T05:54:29.713676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4047
 
16.6%
구 1895
 
7.8%
동 1153
 
4.7%
대 1087
 
4.5%
시 988
 
4.0%
1 977
 
4.0%
역 969
 
4.0%
광 961
 
3.9%
로 859
 
3.5%
( 851
 
3.5%
Other values (224) 10613
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14271
58.5%
Space Separator 4047
 
16.6%
Decimal Number 3823
 
15.7%
Open Punctuation 851
 
3.5%
Close Punctuation 851
 
3.5%
Dash Punctuation 345
 
1.4%
Other Punctuation 189
 
0.8%
Uppercase Letter 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1895
 
13.3%
동 1153
 
8.1%
대 1087
 
7.6%
시 988
 
6.9%
역 969
 
6.8%
광 961
 
6.7%
로 859
 
6.0%
길 684
 
4.8%
북 414
 
2.9%
서 332
 
2.3%
Other values (205) 4929
34.5%
Decimal Number
ValueCountFrequency (%)
1 977
25.6%
2 555
14.5%
3 455
11.9%
4 325
 
8.5%
5 320
 
8.4%
6 296
 
7.7%
7 274
 
7.2%
9 219
 
5.7%
0 208
 
5.4%
8 194
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 9
39.1%
A 9
39.1%
C 4
17.4%
D 1
 
4.3%
Space Separator
ValueCountFrequency (%)
4047
100.0%
Open Punctuation
ValueCountFrequency (%)
( 851
100.0%
Close Punctuation
ValueCountFrequency (%)
) 851
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 345
100.0%
Other Punctuation
ValueCountFrequency (%)
, 189
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14271
58.5%
Common 10106
41.4%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1895
 
13.3%
동 1153
 
8.1%
대 1087
 
7.6%
시 988
 
6.9%
역 969
 
6.8%
광 961
 
6.7%
로 859
 
6.0%
길 684
 
4.8%
북 414
 
2.9%
서 332
 
2.3%
Other values (205) 4929
34.5%
Common
ValueCountFrequency (%)
4047
40.0%
1 977
 
9.7%
( 851
 
8.4%
) 851
 
8.4%
2 555
 
5.5%
3 455
 
4.5%
- 345
 
3.4%
4 325
 
3.2%
5 320
 
3.2%
6 296
 
2.9%
Other values (5) 1084
 
10.7%
Latin
ValueCountFrequency (%)
B 9
39.1%
A 9
39.1%
C 4
17.4%
D 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14271
58.5%
ASCII 10129
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4047
40.0%
1 977
 
9.6%
( 851
 
8.4%
) 851
 
8.4%
2 555
 
5.5%
3 455
 
4.5%
- 345
 
3.4%
4 325
 
3.2%
5 320
 
3.2%
6 296
 
2.9%
Other values (9) 1107
 
10.9%
Hangul
ValueCountFrequency (%)
구 1895
 
13.3%
동 1153
 
8.1%
대 1087
 
7.6%
시 988
 
6.9%
역 969
 
6.8%
광 961
 
6.7%
로 859
 
6.0%
길 684
 
4.8%
북 414
 
2.9%
서 332
 
2.3%
Other values (205) 4929
34.5%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct364
Distinct (%)45.0%
Missing200
Missing (%)19.8%
Infinite0
Infinite (%)0.0%
Mean43528.51
Minimum41000
Maximum704917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-04-21T05:54:30.034616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41065.35
Q141440
median41649.5
Q342627
95-th percentile42972
Maximum704917
Range663917
Interquartile range (IQR)1187

Descriptive statistics

Standard deviation32920.124
Coefficient of variation (CV)0.75628878
Kurtosis401.18574
Mean43528.51
Median Absolute Deviation (MAD)427.5
Skewness20.050858
Sum35171036
Variance1.0837345 × 109
MonotonicityNot monotonic
2024-04-21T05:54:30.274137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41755 16
 
1.6%
41582 15
 
1.5%
41412 14
 
1.4%
41139 12
 
1.2%
41485 12
 
1.2%
41418 12
 
1.2%
41419 12
 
1.2%
41490 12
 
1.2%
41472 11
 
1.1%
41056 10
 
1.0%
Other values (354) 682
67.7%
(Missing) 200
 
19.8%
ValueCountFrequency (%)
41000 2
0.2%
41002 1
 
0.1%
41006 1
 
0.1%
41007 1
 
0.1%
41017 1
 
0.1%
41020 1
 
0.1%
41032 2
0.2%
41036 4
0.4%
41037 2
0.2%
41041 1
 
0.1%
ValueCountFrequency (%)
704917 1
 
0.1%
702802 1
 
0.1%
43014 1
 
0.1%
43008 2
0.2%
43007 2
0.2%
43004 1
 
0.1%
43002 3
0.3%
43000 1
 
0.1%
42996 1
 
0.1%
42993 1
 
0.1%

사업장명
Text

Distinct922
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2024-04-21T05:54:31.121949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length6.0138889
Min length2

Characters and Unicode

Total characters6062
Distinct characters401
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique841 ?
Unique (%)83.4%

Sample

1st row힘찬한우
2nd row다사랑
3rd row새동산축산
4th row세운축산
5th row해뜰축산
ValueCountFrequency (%)
주식회사 61
 
5.2%
농업회사법인 18
 
1.5%
축산 7
 
0.6%
푸드 5
 
0.4%
sw팜 4
 
0.3%
세운축산 4
 
0.3%
금미식품 4
 
0.3%
한우 4
 
0.3%
프라자 3
 
0.3%
식품 3
 
0.3%
Other values (966) 1064
90.4%
2024-04-21T05:54:32.474380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 280
 
4.6%
축 258
 
4.3%
주 256
 
4.2%
식 212
 
3.5%
) 203
 
3.3%
( 197
 
3.2%
푸 193
 
3.2%
드 192
 
3.2%
169
 
2.8%
품 143
 
2.4%
Other values (391) 3959
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5329
87.9%
Close Punctuation 203
 
3.3%
Open Punctuation 197
 
3.2%
Space Separator 169
 
2.8%
Uppercase Letter 115
 
1.9%
Lowercase Letter 19
 
0.3%
Other Punctuation 16
 
0.3%
Decimal Number 14
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 280
 
5.3%
축 258
 
4.8%
주 256
 
4.8%
식 212
 
4.0%
푸 193
 
3.6%
드 192
 
3.6%
품 143
 
2.7%
미 117
 
2.2%
유 115
 
2.2%
통 110
 
2.1%
Other values (352) 3453
64.8%
Uppercase Letter
ValueCountFrequency (%)
S 19
16.5%
F 17
14.8%
D 9
7.8%
C 9
7.8%
K 8
 
7.0%
M 7
 
6.1%
N 6
 
5.2%
B 6
 
5.2%
G 6
 
5.2%
H 6
 
5.2%
Other values (8) 22
19.1%
Lowercase Letter
ValueCountFrequency (%)
o 4
21.1%
p 3
15.8%
f 3
15.8%
a 2
10.5%
c 2
10.5%
n 2
10.5%
d 2
10.5%
y 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 5
35.7%
9 2
 
14.3%
6 2
 
14.3%
8 2
 
14.3%
3 1
 
7.1%
5 1
 
7.1%
4 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
& 10
62.5%
. 5
31.2%
＆ 1
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 203
100.0%
Open Punctuation
ValueCountFrequency (%)
( 197
100.0%
Space Separator
ValueCountFrequency (%)
169
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5329
87.9%
Common 599
 
9.9%
Latin 134
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 280
 
5.3%
축 258
 
4.8%
주 256
 
4.8%
식 212
 
4.0%
푸 193
 
3.6%
드 192
 
3.6%
품 143
 
2.7%
미 117
 
2.2%
유 115
 
2.2%
통 110
 
2.1%
Other values (352) 3453
64.8%
Latin
ValueCountFrequency (%)
S 19
14.2%
F 17
12.7%
D 9
 
6.7%
C 9
 
6.7%
K 8
 
6.0%
M 7
 
5.2%
N 6
 
4.5%
B 6
 
4.5%
G 6
 
4.5%
H 6
 
4.5%
Other values (16) 41
30.6%
Common
ValueCountFrequency (%)
) 203
33.9%
( 197
32.9%
169
28.2%
& 10
 
1.7%
1 5
 
0.8%
. 5
 
0.8%
9 2
 
0.3%
6 2
 
0.3%
8 2
 
0.3%
3 1
 
0.2%
Other values (3) 3
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5329
87.9%
ASCII 732
 
12.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 280
 
5.3%
축 258
 
4.8%
주 256
 
4.8%
식 212
 
4.0%
푸 193
 
3.6%
드 192
 
3.6%
품 143
 
2.7%
미 117
 
2.2%
유 115
 
2.2%
통 110
 
2.1%
Other values (352) 3453
64.8%
ASCII
ValueCountFrequency (%)
) 203
27.7%
( 197
26.9%
169
23.1%
S 19
 
2.6%
F 17
 
2.3%
& 10
 
1.4%
D 9
 
1.2%
C 9
 
1.2%
K 8
 
1.1%
M 7
 
1.0%
Other values (28) 84
11.5%
None
ValueCountFrequency (%)
＆ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1008
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0168169 × 1013
Minimum2.0040908 × 1013
Maximum2.0210531 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-04-21T05:54:32.771325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040908 × 1013
5-th percentile2.0101154 × 1013
Q12.0150125 × 1013
median2.0180213 × 1013
Q32.0200207 × 1013
95-th percentile2.0210224 × 1013
Maximum2.0210531 × 1013
Range1.6962303 × 1011
Interquartile range (IQR)5.0082776 × 1010

Descriptive statistics

Standard deviation3.5600204 × 1010
Coefficient of variation (CV)0.0017651679
Kurtosis0.5633135
Mean2.0168169 × 1013
Median Absolute Deviation (MAD)2.0452494 × 1010
Skewness-1.0124826
Sum2.0329514 × 1016
Variance1.2673746 × 1021
MonotonicityNot monotonic
2024-04-21T05:54:33.035693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170516162403 1
 
0.1%
20190517092828 1
 
0.1%
20200212163830 1
 
0.1%
20200228102307 1
 
0.1%
20191023090317 1
 
0.1%
20210210145449 1
 
0.1%
20201229090617 1
 
0.1%
20191024105209 1
 
0.1%
20210419163330 1
 
0.1%
20210302092000 1
 
0.1%
Other values (998) 998
99.0%
ValueCountFrequency (%)
20040908103038 1
0.1%
20050315171716 1
0.1%
20050713181407 1
0.1%
20051014174429 1
0.1%
20051123181351 1
0.1%
20060323171354 1
0.1%
20060608091655 1
0.1%
20060704173005 1
0.1%
20060726151957 1
0.1%
20060925174631 1
0.1%
ValueCountFrequency (%)
20210531133718 1
0.1%
20210531124130 1
0.1%
20210527110746 1
0.1%
20210526165603 1
0.1%
20210525145412 1
0.1%
20210524142936 1
0.1%
20210521165252 1
0.1%
20210520153448 1
0.1%
20210514203859 1
0.1%
20210514203739 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
I
652 
U
356 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 652
64.7%
U 356
35.3%

Length

2024-04-21T05:54:33.269111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:54:33.431414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 652
64.7%
u 356
35.3%

데이터갱신일자
Date

Distinct347
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
Minimum2018-08-31 23:59:59
Maximum2021-06-02 02:40:00
2024-04-21T05:54:33.655015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:54:33.894560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1008
Missing (%)100.0%
Memory size9.0 KiB

좌표정보(X)
Real number (ℝ)

Distinct836
Distinct (%)83.8%
Missing10
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean342121.96
Minimum326032.48
Maximum358555.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-04-21T05:54:34.157942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326032.48
5-th percentile331728.15
Q1338887.73
median341466.06
Q3345354.25
95-th percentile353125.03
Maximum358555.81
Range32523.328
Interquartile range (IQR)6466.522

Descriptive statistics

Standard deviation5953.8394
Coefficient of variation (CV)0.017402681
Kurtosis0.15657011
Mean342121.96
Median Absolute Deviation (MAD)3206.4803
Skewness0.18538894
Sum3.4143772 × 108
Variance35448204
MonotonicityNot monotonic
2024-04-21T05:54:34.631272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341469.608183 9
 
0.9%
342085.116044 6
 
0.6%
336398.016153 6
 
0.6%
339153.841112 5
 
0.5%
352677.090755 4
 
0.4%
349273.072317 4
 
0.4%
338448.856663 4
 
0.4%
338607.819549 4
 
0.4%
331038.77933 4
 
0.4%
345906.020141 3
 
0.3%
Other values (826) 949
94.1%
(Missing) 10
 
1.0%
ValueCountFrequency (%)
326032.481595 1
 
0.1%
326892.624228 1
 
0.1%
327472.663129 3
0.3%
327486.570258 1
 
0.1%
327599.803378 1
 
0.1%
327637.398011 1
 
0.1%
328237.006988 1
 
0.1%
328332.000154 1
 
0.1%
328385.593803 1
 
0.1%
328581.87249 1
 
0.1%
ValueCountFrequency (%)
358555.809323 1
0.1%
358511.630306 1
0.1%
358071.040315 1
0.1%
358028.908241 1
0.1%
356621.566086 1
0.1%
356477.570168 1
0.1%
356310.917659 1
0.1%
356305.740017 1
0.1%
356284.161972 2
0.2%
355877.570723 1
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct836
Distinct (%)83.8%
Missing10
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean264726.54
Minimum239536.92
Maximum278519.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-04-21T05:54:34.892138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239536.92
5-th percentile255693.99
Q1261546.62
median265327.71
Q3267834.82
95-th percentile272572.51
Maximum278519.37
Range38982.452
Interquartile range (IQR)6288.1911

Descriptive statistics

Standard deviation5294.6088
Coefficient of variation (CV)0.020000295
Kurtosis2.1158052
Mean264726.54
Median Absolute Deviation (MAD)3048.4564
Skewness-0.97271292
Sum2.6419708 × 108
Variance28032882
MonotonicityNot monotonic
2024-04-21T05:54:35.275874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
267369.021973 9
 
0.9%
273124.515307 6
 
0.6%
260311.428495 6
 
0.6%
263450.943634 5
 
0.5%
251617.180195 4
 
0.4%
266082.910074 4
 
0.4%
260590.722889 4
 
0.4%
264078.515685 4
 
0.4%
266813.94199 4
 
0.4%
267754.736201 3
 
0.3%
Other values (826) 949
94.1%
(Missing) 10
 
1.0%
ValueCountFrequency (%)
239536.919741 1
0.1%
241546.707416 1
0.1%
242313.644674 1
0.1%
244607.915396 2
0.2%
244704.0 1
0.1%
244907.241609 1
0.1%
245085.736593 1
0.1%
245240.113168 1
0.1%
245608.948144 1
0.1%
245612.0 1
0.1%
ValueCountFrequency (%)
278519.371408 1
0.1%
277996.259128 1
0.1%
277604.54112 1
0.1%
275582.004218 1
0.1%
274637.215016 1
0.1%
274413.392823 1
0.1%
273994.885719 1
0.1%
273806.472555 1
0.1%
273672.145236 1
0.1%
273657.225822 1
0.1%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
식육포장처리업
1008 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 1008
100.0%

Length

2024-04-21T05:54:35.695842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:54:35.988006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1008
100.0%

축산물가공업구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
식육포장처리업
1008 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 1008
100.0%

Length

2024-04-21T05:54:36.288778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:54:36.575275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1008
100.0%

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1008
Missing (%)100.0%
Memory size9.0 KiB

권리주체일련번호
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
000
723 
L00
285 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 723
71.7%
L00 285
 
28.3%

Length

2024-04-21T05:54:36.881210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:54:37.176731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 723
71.7%
l00 285
 
28.3%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1008
Missing (%)100.0%
Memory size9.0 KiB

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
01식육포장처리업07_22_06_P341000034100001042016000320161118<NA>3폐업2폐업20170516<NA><NA><NA><NA>268.0<NA>대구광역시 중구 대신동 178-8번지대구광역시 중구 달성공원로 8 (대신동)41925힘찬한우20170516162403I2018-08-31 23:59:59.0<NA>342589.138332264598.759595식육포장처리업식육포장처리업<NA>000<NA>
12식육포장처리업07_22_06_P341000034100001042016000220160620<NA>3폐업2폐업20200626<NA><NA><NA><NA>0.0<NA>대구광역시 중구 남성로 31대구광역시 중구 남성로 7-1 (남성로)41934다사랑20200626132355U2020-06-28 02:40:00.0<NA>343360.638566264375.948443식육포장처리업식육포장처리업<NA>000<NA>
23식육포장처리업07_22_06_P341000034100001042017000120170316<NA>3폐업2폐업20200619<NA><NA><NA><NA>0.0<NA>대구광역시 중구 달성동 10-7번지대구광역시 중구 달성로 131-1 (달성동)41922새동산축산20200619171349U2020-06-23 02:40:00.0<NA>342759.487282265214.153358식육포장처리업식육포장처리업<NA>000<NA>
34식육포장처리업07_22_06_P341000034100001042014000220141120<NA>3폐업2폐업20170518<NA><NA><NA>421-92450.0<NA>대구광역시 중구 남산동 2654-6번지대구광역시 중구 남산로17길 18 (남산동)41975세운축산20170518171417I2018-08-31 23:59:59.0<NA>342754.484823263748.253785식육포장처리업식육포장처리업<NA>000<NA>
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