Overview

Dataset statistics

Number of variables33
Number of observations911
Missing cells7656
Missing cells (%)25.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory252.8 KiB
Average record size in memory284.1 B

Variable types

Numeric12
Categorical11
Unsupported5
Text4
DateTime1

Dataset

Description6270000_대구광역시_07_22_06_P_식육포장처리업_9월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000068198&dataSetDetailId=DDI_0000068254&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 (55.2%)Imbalance
상세영업상태명 is highly imbalanced (55.2%)Imbalance
휴업종료일자 is highly imbalanced (98.1%)Imbalance
인허가취소일자 has 911 (100.0%) missing valuesMissing
폐업일자 has 591 (64.9%) missing valuesMissing
휴업시작일자 has 905 (99.3%) missing valuesMissing
재개업일자 has 903 (99.1%) missing valuesMissing
소재지전화 has 438 (48.1%) missing valuesMissing
소재지우편번호 has 911 (100.0%) missing valuesMissing
도로명전체주소 has 47 (5.2%) missing valuesMissing
도로명우편번호 has 202 (22.2%) missing valuesMissing
업태구분명 has 911 (100.0%) missing valuesMissing
축산일련번호 has 911 (100.0%) missing valuesMissing
총종업원수 has 911 (100.0%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 23.2459408)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 507 (55.7%) zerosZeros

Reproduction

Analysis started2024-04-17 11:38:34.873181
Analysis finished2024-04-17 11:38:35.713956
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct911
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean456
Minimum1
Maximum911
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-17T20:38:35.771153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile46.5
Q1228.5
median456
Q3683.5
95-th percentile865.5
Maximum911
Range910
Interquartile range (IQR)455

Descriptive statistics

Standard deviation263.12735
Coefficient of variation (CV)0.57703365
Kurtosis-1.2
Mean456
Median Absolute Deviation (MAD)228
Skewness0
Sum415416
Variance69236
MonotonicityStrictly increasing
2024-04-17T20:38:35.888013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
600 1
 
0.1%
602 1
 
0.1%
603 1
 
0.1%
604 1
 
0.1%
605 1
 
0.1%
606 1
 
0.1%
607 1
 
0.1%
608 1
 
0.1%
609 1
 
0.1%
Other values (901) 901
98.9%
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 (%)
911 1
0.1%
910 1
0.1%
909 1
0.1%
908 1
0.1%
907 1
0.1%
906 1
0.1%
905 1
0.1%
904 1
0.1%
903 1
0.1%
902 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
식육포장처리업
911 

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 911
100.0%

Length

2024-04-17T20:38:35.993332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:38:36.061669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 911
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
07_22_06_P
911 

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 911
100.0%

Length

2024-04-17T20:38:36.135771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:38:36.210165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_06_p 911
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3448836.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-17T20:38:36.277542image/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 deviation19018.979
Coefficient of variation (CV)0.0055146075
Kurtosis-0.90994252
Mean3448836.4
Median Absolute Deviation (MAD)20000
Skewness-0.091177063
Sum3.14189 × 109
Variance3.6172157 × 108
MonotonicityIncreasing
2024-04-17T20:38:36.385512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 334
36.7%
3470000 140
15.4%
3420000 135
14.8%
3430000 109
 
12.0%
3480000 90
 
9.9%
3460000 53
 
5.8%
3440000 38
 
4.2%
3410000 12
 
1.3%
ValueCountFrequency (%)
3410000 12
 
1.3%
3420000 135
14.8%
3430000 109
 
12.0%
3440000 38
 
4.2%
3450000 334
36.7%
3460000 53
 
5.8%
3470000 140
15.4%
3480000 90
 
9.9%
ValueCountFrequency (%)
3480000 90
 
9.9%
3470000 140
15.4%
3460000 53
 
5.8%
3450000 334
36.7%
3440000 38
 
4.2%
3430000 109
 
12.0%
3420000 135
14.8%
3410000 12
 
1.3%

관리번호
Real number (ℝ)

UNIQUE 

Distinct911
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4488365 × 1017
Minimum3.41 × 1017
Maximum3.4800001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-17T20:38:36.504915image/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 deviation1.9018978 × 1015
Coefficient of variation (CV)0.005514607
Kurtosis-0.9099425
Mean3.4488365 × 1017
Median Absolute Deviation (MAD)1.99999 × 1015
Skewness-0.091176787
Sum5.9435826 × 1017
Variance3.6172153 × 1030
MonotonicityNot monotonic
2024-04-17T20:38:36.658929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000010420160003 1
 
0.1%
345000010420170004 1
 
0.1%
345000010420160023 1
 
0.1%
345000010420160022 1
 
0.1%
345000010420160021 1
 
0.1%
345000010420160020 1
 
0.1%
345000010420160012 1
 
0.1%
345000010420160019 1
 
0.1%
345000010420160017 1
 
0.1%
345000010420160016 1
 
0.1%
Other values (901) 901
98.9%
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 (%)
348000010420190010 1
0.1%
348000010420190009 1
0.1%
348000010420190008 1
0.1%
348000010420190007 1
0.1%
348000010420190006 1
0.1%
348000010420190005 1
0.1%
348000010420190004 1
0.1%
348000010420190003 1
0.1%
348000010420190002 1
0.1%
348000010420190001 1
0.1%

인허가일자
Real number (ℝ)

Distinct780
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20124170
Minimum19870213
Maximum20190919
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-17T20:38:36.789673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19870213
5-th percentile20030374
Q120100864
median20131029
Q320160764
95-th percentile20190121
Maximum20190919
Range320706
Interquartile range (IQR)59900

Descriptive statistics

Standard deviation50096.685
Coefficient of variation (CV)0.0024893789
Kurtosis1.3201745
Mean20124170
Median Absolute Deviation (MAD)29914
Skewness-1.0860123
Sum1.8333119 × 1010
Variance2.5096778 × 109
MonotonicityNot monotonic
2024-04-17T20:38:36.910097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20131029 4
 
0.4%
20170313 4
 
0.4%
20050321 3
 
0.3%
20150507 3
 
0.3%
20140714 3
 
0.3%
20141001 3
 
0.3%
20131108 3
 
0.3%
20130609 3
 
0.3%
20180213 3
 
0.3%
20101115 3
 
0.3%
Other values (770) 879
96.5%
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 (%)
20190919 2
0.2%
20190918 1
0.1%
20190916 1
0.1%
20190903 1
0.1%
20190830 1
0.1%
20190828 1
0.1%
20190826 1
0.1%
20190820 1
0.1%
20190814 1
0.1%
20190807 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing911
Missing (%)100.0%
Memory size8.1 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
1
584 
3
315 
4
 
8
2
 
4

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 (%)
1 584
64.1%
3 315
34.6%
4 8
 
0.9%
2 4
 
0.4%

Length

2024-04-17T20:38:37.037678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:38:37.124039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 584
64.1%
3 315
34.6%
4 8
 
0.9%
2 4
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
영업/정상
584 
폐업
315 
취소/말소/만료/정지/중지
 
8
휴업
 
4

Length

Max length14
Median length5
Mean length4.0285401
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 584
64.1%
폐업 315
34.6%
취소/말소/만료/정지/중지 8
 
0.9%
휴업 4
 
0.4%

Length

2024-04-17T20:38:37.217821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:38:37.306730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 584
64.1%
폐업 315
34.6%
취소/말소/만료/정지/중지 8
 
0.9%
휴업 4
 
0.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
0
584 
2
315 
4
 
7
1
 
4
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 584
64.1%
2 315
34.6%
4 7
 
0.8%
1 4
 
0.4%
3 1
 
0.1%

Length

2024-04-17T20:38:37.399522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:38:37.481678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 584
64.1%
2 315
34.6%
4 7
 
0.8%
1 4
 
0.4%
3 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
정상
584 
폐업
315 
말소
 
7
휴업
 
4
행정처분
 
1

Length

Max length4
Median length2
Mean length2.0021954
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
정상 584
64.1%
폐업 315
34.6%
말소 7
 
0.8%
휴업 4
 
0.4%
행정처분 1
 
0.1%

Length

2024-04-17T20:38:37.582074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:38:37.673092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 584
64.1%
폐업 315
34.6%
말소 7
 
0.8%
휴업 4
 
0.4%
행정처분 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct297
Distinct (%)92.8%
Missing591
Missing (%)64.9%
Infinite0
Infinite (%)0.0%
Mean20135068
Minimum20040131
Maximum20190919
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-17T20:38:37.776862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040131
5-th percentile20060725
Q120110982
median20140515
Q320160944
95-th percentile20190121
Maximum20190919
Range150788
Interquartile range (IQR)49961.5

Descriptive statistics

Standard deviation37026.151
Coefficient of variation (CV)0.0018388888
Kurtosis-0.26012872
Mean20135068
Median Absolute Deviation (MAD)29399
Skewness-0.6355483
Sum6.4432217 × 109
Variance1.3709359 × 109
MonotonicityNot monotonic
2024-04-17T20:38:37.913267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160120 3
 
0.3%
20111116 3
 
0.3%
20140414 2
 
0.2%
20150130 2
 
0.2%
20160325 2
 
0.2%
20140401 2
 
0.2%
20160630 2
 
0.2%
20170605 2
 
0.2%
20180911 2
 
0.2%
20140224 2
 
0.2%
Other values (287) 298
32.7%
(Missing) 591
64.9%
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 (%)
20190919 1
0.1%
20190822 1
0.1%
20190820 1
0.1%
20190719 1
0.1%
20190717 1
0.1%
20190529 2
0.2%
20190510 1
0.1%
20190319 1
0.1%
20190311 1
0.1%
20190222 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing905
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean20145740
Minimum20080502
Maximum20181205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-17T20:38:38.023205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080502
5-th percentile20085682
Q120116095
median20165654
Q320177802
95-th percentile20180954
Maximum20181205
Range100703
Interquartile range (IQR)61707.25

Descriptive statistics

Standard deviation43646.756
Coefficient of variation (CV)0.0021665501
Kurtosis-1.3381655
Mean20145740
Median Absolute Deviation (MAD)15049
Skewness-0.94393401
Sum1.2087444 × 108
Variance1.9050393 × 109
MonotonicityNot monotonic
2024-04-17T20:38:38.121216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20181205 1
 
0.1%
20170602 1
 
0.1%
20080502 1
 
0.1%
20101224 1
 
0.1%
20180202 1
 
0.1%
20160707 1
 
0.1%
(Missing) 905
99.3%
ValueCountFrequency (%)
20080502 1
0.1%
20101224 1
0.1%
20160707 1
0.1%
20170602 1
0.1%
20180202 1
0.1%
20181205 1
0.1%
ValueCountFrequency (%)
20181205 1
0.1%
20180202 1
0.1%
20170602 1
0.1%
20160707 1
0.1%
20101224 1
0.1%
20080502 1
0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
<NA>
908 
20190604
 
1
20171130
 
1
20170706
 
1

Length

Max length8
Median length4
Mean length4.0131723
Min length4

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 908
99.7%
20190604 1
 
0.1%
20171130 1
 
0.1%
20170706 1
 
0.1%

Length

2024-04-17T20:38:38.237290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:38:38.325692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 908
99.7%
20190604 1
 
0.1%
20171130 1
 
0.1%
20170706 1
 
0.1%

재개업일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing903
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean20135791
Minimum20041230
Maximum20190321
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-17T20:38:38.400192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041230
5-th percentile20044412
Q120095851
median20161006
Q320183455
95-th percentile20190283
Maximum20190321
Range149091
Interquartile range (IQR)87604

Descriptive statistics

Standard deviation61096.045
Coefficient of variation (CV)0.0030342014
Kurtosis-1.0521898
Mean20135791
Median Absolute Deviation (MAD)29261
Skewness-0.86532435
Sum1.6108633 × 108
Variance3.7327267 × 109
MonotonicityNot monotonic
2024-04-17T20:38:38.504113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20190212 1
 
0.1%
20041230 1
 
0.1%
20050321 1
 
0.1%
20181203 1
 
0.1%
20161104 1
 
0.1%
20190321 1
 
0.1%
20160907 1
 
0.1%
20111028 1
 
0.1%
(Missing) 903
99.1%
ValueCountFrequency (%)
20041230 1
0.1%
20050321 1
0.1%
20111028 1
0.1%
20160907 1
0.1%
20161104 1
0.1%
20181203 1
0.1%
20190212 1
0.1%
20190321 1
0.1%
ValueCountFrequency (%)
20190321 1
0.1%
20190212 1
0.1%
20181203 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 

Distinct449
Distinct (%)94.9%
Missing438
Missing (%)48.1%
Memory size7.2 KiB
2024-04-17T20:38:38.720622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length8
Mean length9.8181818
Min length7

Characters and Unicode

Total characters4644
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

Unique428 ?
Unique (%)90.5%

Sample

1st row421-9245
2nd row561-1981
3rd row421-9245
4th row527-7855
5th row053-254-2226
ValueCountFrequency (%)
053-381-3834 4
 
0.8%
565-9998 3
 
0.6%
560-9999 2
 
0.4%
561-5533 2
 
0.4%
763-8397 2
 
0.4%
352-5535 2
 
0.4%
588-3900 2
 
0.4%
939-7765 2
 
0.4%
0535663392 2
 
0.4%
554-5544 2
 
0.4%
Other values (439) 450
95.1%
2024-04-17T20:38:39.075944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 695
15.0%
- 632
13.6%
3 606
13.0%
0 471
10.1%
6 385
8.3%
2 381
8.2%
8 320
6.9%
9 316
6.8%
1 294
6.3%
4 272
 
5.9%
Other values (3) 272
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4008
86.3%
Dash Punctuation 632
 
13.6%
Other Punctuation 3
 
0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 695
17.3%
3 606
15.1%
0 471
11.8%
6 385
9.6%
2 381
9.5%
8 320
8.0%
9 316
7.9%
1 294
7.3%
4 272
 
6.8%
7 268
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 632
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4644
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 695
15.0%
- 632
13.6%
3 606
13.0%
0 471
10.1%
6 385
8.3%
2 381
8.2%
8 320
6.9%
9 316
6.8%
1 294
6.3%
4 272
 
5.9%
Other values (3) 272
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4644
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 695
15.0%
- 632
13.6%
3 606
13.0%
0 471
10.1%
6 385
8.3%
2 381
8.2%
8 320
6.9%
9 316
6.8%
1 294
6.3%
4 272
 
5.9%
Other values (3) 272
 
5.9%

소재지면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct369
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean286.93551
Minimum0
Maximum37289
Zeros507
Zeros (%)55.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-17T20:38:39.210980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3267.2
95-th percentile1213.185
Maximum37289
Range37289
Interquartile range (IQR)267.2

Descriptive statistics

Standard deviation1345.1493
Coefficient of variation (CV)4.6879849
Kurtosis631.36711
Mean286.93551
Median Absolute Deviation (MAD)0
Skewness23.245941
Sum261398.25
Variance1809426.7
MonotonicityNot monotonic
2024-04-17T20:38:39.335055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 507
55.7%
211.0 3
 
0.3%
708.0 3
 
0.3%
583.0 3
 
0.3%
331.0 3
 
0.3%
261.6 2
 
0.2%
84.6 2
 
0.2%
179.5 2
 
0.2%
203.1 2
 
0.2%
352.2 2
 
0.2%
Other values (359) 382
41.9%
ValueCountFrequency (%)
0.0 507
55.7%
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 

Missing911
Missing (%)100.0%
Memory size8.1 KiB

소재지전체주소
Text

Distinct804
Distinct (%)88.5%
Missing3
Missing (%)0.3%
Memory size7.2 KiB
2024-04-17T20:38:39.591790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length38
Mean length22.371145
Min length12

Characters and Unicode

Total characters20313
Distinct characters177
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

Unique720 ?
Unique (%)79.3%

Sample

1st row대구광역시 중구 대신동 178-8번지
2nd row대구광역시 중구 남산동 2654-6번지
3rd row대구광역시 중구 달성동 33-5번지 1층
4th row대구광역시 중구 남산동 2654-6번지
5th row대구광역시 중구 달성동 284-37번지
ValueCountFrequency (%)
대구광역시 908
23.7%
북구 333
 
8.7%
달서구 139
 
3.6%
동구 135
 
3.5%
서구 108
 
2.8%
달성군 90
 
2.3%
수성구 53
 
1.4%
남구 38
 
1.0%
산격동 30
 
0.8%
노원동3가 29
 
0.8%
Other values (958) 1969
51.4%
2024-04-17T20:38:39.974979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3819
18.8%
구 1751
 
8.6%
동 1002
 
4.9%
대 953
 
4.7%
1 953
 
4.7%
지 927
 
4.6%
시 912
 
4.5%
광 908
 
4.5%
역 908
 
4.5%
번 901
 
4.4%
Other values (167) 7279
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11653
57.4%
Decimal Number 4071
 
20.0%
Space Separator 3819
 
18.8%
Dash Punctuation 729
 
3.6%
Uppercase Letter 14
 
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 1751
15.0%
동 1002
 
8.6%
대 953
 
8.2%
지 927
 
8.0%
시 912
 
7.8%
광 908
 
7.8%
역 908
 
7.8%
번 901
 
7.7%
북 334
 
2.9%
서 286
 
2.5%
Other values (149) 2771
23.8%
Decimal Number
ValueCountFrequency (%)
1 953
23.4%
2 517
12.7%
3 422
10.4%
0 335
 
8.2%
4 332
 
8.2%
7 328
 
8.1%
6 327
 
8.0%
5 295
 
7.2%
8 293
 
7.2%
9 269
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
A 6
42.9%
B 6
42.9%
C 2
 
14.3%
Space Separator
ValueCountFrequency (%)
3819
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 729
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 11653
57.4%
Common 8646
42.6%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1751
15.0%
동 1002
 
8.6%
대 953
 
8.2%
지 927
 
8.0%
시 912
 
7.8%
광 908
 
7.8%
역 908
 
7.8%
번 901
 
7.7%
북 334
 
2.9%
서 286
 
2.5%
Other values (149) 2771
23.8%
Common
ValueCountFrequency (%)
3819
44.2%
1 953
 
11.0%
- 729
 
8.4%
2 517
 
6.0%
3 422
 
4.9%
0 335
 
3.9%
4 332
 
3.8%
7 328
 
3.8%
6 327
 
3.8%
5 295
 
3.4%
Other values (5) 589
 
6.8%
Latin
ValueCountFrequency (%)
A 6
42.9%
B 6
42.9%
C 2
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11653
57.4%
ASCII 8660
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3819
44.1%
1 953
 
11.0%
- 729
 
8.4%
2 517
 
6.0%
3 422
 
4.9%
0 335
 
3.9%
4 332
 
3.8%
7 328
 
3.8%
6 327
 
3.8%
5 295
 
3.4%
Other values (8) 603
 
7.0%
Hangul
ValueCountFrequency (%)
구 1751
15.0%
동 1002
 
8.6%
대 953
 
8.2%
지 927
 
8.0%
시 912
 
7.8%
광 908
 
7.8%
역 908
 
7.8%
번 901
 
7.7%
북 334
 
2.9%
서 286
 
2.5%
Other values (149) 2771
23.8%

도로명전체주소
Text

MISSING 

Distinct778
Distinct (%)90.0%
Missing47
Missing (%)5.2%
Memory size7.2 KiB
2024-04-17T20:38:40.308214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length44
Mean length25.421296
Min length19

Characters and Unicode

Total characters21964
Distinct characters233
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

Unique709 ?
Unique (%)82.1%

Sample

1st row대구광역시 중구 달성공원로 8 (대신동)
2nd row대구광역시 중구 남산로17길 18 (남산동)
3rd row대구광역시 중구 달성로21길 48, 1층 (달성동)
4th row대구광역시 중구 달성로 131-1 (달성동)
5th row대구광역시 중구 명륜로 140 (대봉동)
ValueCountFrequency (%)
대구광역시 864
 
19.2%
북구 331
 
7.4%
동구 126
 
2.8%
달서구 112
 
2.5%
서구 109
 
2.4%
달성군 89
 
2.0%
1층 54
 
1.2%
수성구 53
 
1.2%
남구 34
 
0.8%
검단동 28
 
0.6%
Other values (1099) 2694
59.9%
2024-04-17T20:38:40.766455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3630
 
16.5%
구 1721
 
7.8%
동 1035
 
4.7%
대 978
 
4.5%
시 890
 
4.1%
역 870
 
4.0%
광 864
 
3.9%
1 862
 
3.9%
( 781
 
3.6%
) 781
 
3.6%
Other values (223) 9552
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12832
58.4%
Space Separator 3630
 
16.5%
Decimal Number 3446
 
15.7%
Open Punctuation 781
 
3.6%
Close Punctuation 781
 
3.6%
Dash Punctuation 312
 
1.4%
Other Punctuation 162
 
0.7%
Uppercase Letter 20
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1721
 
13.4%
동 1035
 
8.1%
대 978
 
7.6%
시 890
 
6.9%
역 870
 
6.8%
광 864
 
6.7%
로 780
 
6.1%
길 612
 
4.8%
북 391
 
3.0%
서 301
 
2.3%
Other values (204) 4390
34.2%
Decimal Number
ValueCountFrequency (%)
1 862
25.0%
2 497
14.4%
3 413
12.0%
5 284
 
8.2%
4 283
 
8.2%
6 276
 
8.0%
7 253
 
7.3%
9 205
 
5.9%
0 187
 
5.4%
8 186
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
A 9
45.0%
B 7
35.0%
C 3
 
15.0%
D 1
 
5.0%
Space Separator
ValueCountFrequency (%)
3630
100.0%
Open Punctuation
ValueCountFrequency (%)
( 781
100.0%
Close Punctuation
ValueCountFrequency (%)
) 781
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 312
100.0%
Other Punctuation
ValueCountFrequency (%)
, 162
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12832
58.4%
Common 9112
41.5%
Latin 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1721
 
13.4%
동 1035
 
8.1%
대 978
 
7.6%
시 890
 
6.9%
역 870
 
6.8%
광 864
 
6.7%
로 780
 
6.1%
길 612
 
4.8%
북 391
 
3.0%
서 301
 
2.3%
Other values (204) 4390
34.2%
Common
ValueCountFrequency (%)
3630
39.8%
1 862
 
9.5%
( 781
 
8.6%
) 781
 
8.6%
2 497
 
5.5%
3 413
 
4.5%
- 312
 
3.4%
5 284
 
3.1%
4 283
 
3.1%
6 276
 
3.0%
Other values (5) 993
 
10.9%
Latin
ValueCountFrequency (%)
A 9
45.0%
B 7
35.0%
C 3
 
15.0%
D 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12832
58.4%
ASCII 9132
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3630
39.8%
1 862
 
9.4%
( 781
 
8.6%
) 781
 
8.6%
2 497
 
5.4%
3 413
 
4.5%
- 312
 
3.4%
5 284
 
3.1%
4 283
 
3.1%
6 276
 
3.0%
Other values (9) 1013
 
11.1%
Hangul
ValueCountFrequency (%)
구 1721
 
13.4%
동 1035
 
8.1%
대 978
 
7.6%
시 890
 
6.9%
역 870
 
6.8%
광 864
 
6.7%
로 780
 
6.1%
길 612
 
4.8%
북 391
 
3.0%
서 301
 
2.3%
Other values (204) 4390
34.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct346
Distinct (%)48.8%
Missing202
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean44670.324
Minimum41000
Maximum704917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-17T20:38:40.887587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41068
Q141441
median41583
Q342505
95-th percentile42970.6
Maximum704917
Range663917
Interquartile range (IQR)1064

Descriptive statistics

Standard deviation42983.705
Coefficient of variation (CV)0.96224295
Kurtosis232.88918
Mean44670.324
Median Absolute Deviation (MAD)339
Skewness15.303003
Sum31671260
Variance1.8475989 × 109
MonotonicityNot monotonic
2024-04-17T20:38:41.000796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41755 15
 
1.6%
41412 14
 
1.5%
41582 13
 
1.4%
41485 12
 
1.3%
41418 12
 
1.3%
41490 11
 
1.2%
41419 11
 
1.2%
41472 10
 
1.1%
41139 10
 
1.1%
41477 9
 
1.0%
Other values (336) 592
65.0%
(Missing) 202
 
22.2%
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 1
 
0.1%
41036 3
0.3%
41037 2
0.2%
41041 1
 
0.1%
ValueCountFrequency (%)
704917 1
 
0.1%
702872 1
 
0.1%
702802 1
 
0.1%
43014 1
 
0.1%
43008 1
 
0.1%
43007 1
 
0.1%
43002 3
0.3%
43000 1
 
0.1%
42993 1
 
0.1%
42989 1
 
0.1%

사업장명
Text

Distinct834
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2024-04-17T20:38:41.241722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length6.0636663
Min length2

Characters and Unicode

Total characters5524
Distinct characters384
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique760 ?
Unique (%)83.4%

Sample

1st row힘찬한우
2nd row세운축산
3rd row해뜰축산
4th row세운축산유통
5th row(주)천마미트
ValueCountFrequency (%)
주식회사 58
 
5.4%
농업회사법인 17
 
1.6%
축산 6
 
0.6%
금미식품 4
 
0.4%
푸드 4
 
0.4%
식품 3
 
0.3%
축산물 3
 
0.3%
프라자 3
 
0.3%
주)에이스푸드 3
 
0.3%
food 3
 
0.3%
Other values (876) 964
90.3%
2024-04-17T20:38:41.595640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 257
 
4.7%
주 240
 
4.3%
축 235
 
4.3%
식 209
 
3.8%
) 188
 
3.4%
( 182
 
3.3%
푸 170
 
3.1%
드 168
 
3.0%
157
 
2.8%
품 143
 
2.6%
Other values (374) 3575
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4850
87.8%
Close Punctuation 188
 
3.4%
Open Punctuation 182
 
3.3%
Space Separator 157
 
2.8%
Uppercase Letter 103
 
1.9%
Lowercase Letter 19
 
0.3%
Other Punctuation 17
 
0.3%
Decimal Number 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 257
 
5.3%
주 240
 
4.9%
축 235
 
4.8%
식 209
 
4.3%
푸 170
 
3.5%
드 168
 
3.5%
품 143
 
2.9%
유 107
 
2.2%
미 103
 
2.1%
통 102
 
2.1%
Other values (339) 3116
64.2%
Uppercase Letter
ValueCountFrequency (%)
F 16
15.5%
S 15
14.6%
D 10
9.7%
H 7
6.8%
M 7
6.8%
O 7
6.8%
K 7
6.8%
C 7
6.8%
G 6
 
5.8%
J 6
 
5.8%
Other values (7) 15
14.6%
Lowercase Letter
ValueCountFrequency (%)
o 4
21.1%
p 3
15.8%
f 3
15.8%
c 2
10.5%
d 2
10.5%
a 2
10.5%
n 2
10.5%
y 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
& 10
58.8%
. 5
29.4%
/ 1
 
5.9%
＆ 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 5
62.5%
9 2
 
25.0%
8 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 188
100.0%
Open Punctuation
ValueCountFrequency (%)
( 182
100.0%
Space Separator
ValueCountFrequency (%)
157
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4846
87.7%
Common 552
 
10.0%
Latin 122
 
2.2%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 257
 
5.3%
주 240
 
5.0%
축 235
 
4.8%
식 209
 
4.3%
푸 170
 
3.5%
드 168
 
3.5%
품 143
 
3.0%
유 107
 
2.2%
미 103
 
2.1%
통 102
 
2.1%
Other values (336) 3112
64.2%
Latin
ValueCountFrequency (%)
F 16
13.1%
S 15
12.3%
D 10
 
8.2%
H 7
 
5.7%
M 7
 
5.7%
O 7
 
5.7%
K 7
 
5.7%
C 7
 
5.7%
G 6
 
4.9%
J 6
 
4.9%
Other values (15) 34
27.9%
Common
ValueCountFrequency (%)
) 188
34.1%
( 182
33.0%
157
28.4%
& 10
 
1.8%
1 5
 
0.9%
. 5
 
0.9%
9 2
 
0.4%
/ 1
 
0.2%
＆ 1
 
0.2%
8 1
 
0.2%
Han
ValueCountFrequency (%)
産 2
50.0%
畜 1
25.0%
營 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4846
87.7%
ASCII 673
 
12.2%
CJK 4
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 257
 
5.3%
주 240
 
5.0%
축 235
 
4.8%
식 209
 
4.3%
푸 170
 
3.5%
드 168
 
3.5%
품 143
 
3.0%
유 107
 
2.2%
미 103
 
2.1%
통 102
 
2.1%
Other values (336) 3112
64.2%
ASCII
ValueCountFrequency (%)
) 188
27.9%
( 182
27.0%
157
23.3%
F 16
 
2.4%
S 15
 
2.2%
D 10
 
1.5%
& 10
 
1.5%
H 7
 
1.0%
M 7
 
1.0%
O 7
 
1.0%
Other values (24) 74
 
11.0%
CJK
ValueCountFrequency (%)
産 2
50.0%
畜 1
25.0%
營 1
25.0%
None
ValueCountFrequency (%)
＆ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct911
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0157539 × 1013
Minimum2.0040908 × 1013
Maximum2.0190925 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-17T20:38:41.718355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040908 × 1013
5-th percentile2.0100318 × 1013
Q12.0140516 × 1013
median2.0170113 × 1013
Q32.0181003 × 1013
95-th percentile2.0190664 × 1013
Maximum2.0190925 × 1013
Range1.5001706 × 1011
Interquartile range (IQR)4.0487059 × 1010

Descriptive statistics

Standard deviation3.161495 × 1010
Coefficient of variation (CV)0.0015683933
Kurtosis1.0294773
Mean2.0157539 × 1013
Median Absolute Deviation (MAD)1.999299 × 1010
Skewness-1.1627738
Sum1.8363518 × 1016
Variance9.9950505 × 1020
MonotonicityNot monotonic
2024-04-17T20:38:41.844762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170516162403 1
 
0.1%
20170313141405 1
 
0.1%
20170616145036 1
 
0.1%
20161011181813 1
 
0.1%
20181204105923 1
 
0.1%
20160912115326 1
 
0.1%
20160607175402 1
 
0.1%
20160826164202 1
 
0.1%
20180411104223 1
 
0.1%
20160725114040 1
 
0.1%
Other values (901) 901
98.9%
ValueCountFrequency (%)
20040908103038 1
0.1%
20050127100141 1
0.1%
20050315171716 1
0.1%
20050713181407 1
0.1%
20051014174429 1
0.1%
20051123181351 1
0.1%
20060317102952 1
0.1%
20060323171354 1
0.1%
20060608091655 1
0.1%
20060704173005 1
0.1%
ValueCountFrequency (%)
20190925162732 1
0.1%
20190919160051 1
0.1%
20190919131809 1
0.1%
20190919093524 1
0.1%
20190918180711 1
0.1%
20190918095249 1
0.1%
20190916113224 1
0.1%
20190904110636 1
0.1%
20190903110425 1
0.1%
20190902211019 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
I
729 
U
182 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 729
80.0%
U 182
 
20.0%

Length

2024-04-17T20:38:41.957310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:38:42.044007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 729
80.0%
u 182
 
20.0%

데이터갱신일자
Date

Distinct163
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
Minimum2018-08-31 23:59:59
Maximum2019-09-27 02:40:00
2024-04-17T20:38:42.137015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T20:38:42.498059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing911
Missing (%)100.0%
Memory size8.1 KiB

좌표정보(X)
Real number (ℝ)

Distinct768
Distinct (%)84.9%
Missing6
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean342163.17
Minimum326032.48
Maximum358555.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-17T20:38:42.628388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326032.48
5-th percentile332396.06
Q1338969.19
median341469.61
Q3345281.46
95-th percentile352999.07
Maximum358555.81
Range32523.328
Interquartile range (IQR)6312.2671

Descriptive statistics

Standard deviation5704.2897
Coefficient of variation (CV)0.016671256
Kurtosis0.32710437
Mean342163.17
Median Absolute Deviation (MAD)3062.5872
Skewness0.18224655
Sum3.0965767 × 108
Variance32538921
MonotonicityNot monotonic
2024-04-17T20:38:42.752609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341469.608183 9
 
1.0%
342085.116044 6
 
0.7%
336398.016153 5
 
0.5%
339153.841112 5
 
0.5%
352677.090755 4
 
0.4%
338607.819549 4
 
0.4%
338448.856663 4
 
0.4%
342525.842836 3
 
0.3%
344695.466411 3
 
0.3%
338289.676401 3
 
0.3%
Other values (758) 859
94.3%
(Missing) 6
 
0.7%
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%
328581.87249 1
 
0.1%
328604.155964 1
 
0.1%
ValueCountFrequency (%)
358555.809323 1
0.1%
358511.630306 1
0.1%
358071.040315 1
0.1%
358028.908241 1
0.1%
356477.570168 1
0.1%
356310.917659 1
0.1%
355877.570723 1
0.1%
355800.757789 1
0.1%
355767.182597 1
0.1%
355759.73219 1
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct767
Distinct (%)84.8%
Missing6
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean264890.25
Minimum239536.92
Maximum278519.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-04-17T20:38:42.878662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239536.92
5-th percentile255938.47
Q1261832.02
median265416.04
Q3267970.82
95-th percentile272622.87
Maximum278519.37
Range38982.452
Interquartile range (IQR)6138.8013

Descriptive statistics

Standard deviation5178.9069
Coefficient of variation (CV)0.019551142
Kurtosis2.1912351
Mean264890.25
Median Absolute Deviation (MAD)3111.0599
Skewness-0.93606253
Sum2.3972568 × 108
Variance26821077
MonotonicityNot monotonic
2024-04-17T20:38:43.007089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
267369.021973 9
 
1.0%
273124.515307 6
 
0.7%
260311.428495 5
 
0.5%
263450.943634 5
 
0.5%
266082.910074 4
 
0.4%
260590.722889 4
 
0.4%
264078.515685 4
 
0.4%
267545.384599 3
 
0.3%
271999.320963 3
 
0.3%
260650.560724 3
 
0.3%
Other values (757) 859
94.3%
(Missing) 6
 
0.7%
ValueCountFrequency (%)
239536.919741 1
0.1%
241546.707416 1
0.1%
242313.644674 1
0.1%
244607.915396 2
0.2%
245085.736593 1
0.1%
245240.113168 1
0.1%
245608.948144 1
0.1%
248184.527628 1
0.1%
248252.677425 1
0.1%
249475.583994 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%
273994.885719 1
0.1%
273806.472555 1
0.1%
273672.145236 1
0.1%
273657.225822 1
0.1%
273523.463307 1
0.1%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
식육포장처리업
911 

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 911
100.0%

Length

2024-04-17T20:38:43.130126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:38:43.206061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 911
100.0%

축산물가공업구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
식육포장처리업
911 

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 911
100.0%

Length

2024-04-17T20:38:43.284797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:38:43.358264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 911
100.0%

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing911
Missing (%)100.0%
Memory size8.1 KiB

권리주체일련번호
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
000
652 
L00
259 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 652
71.6%
L00 259
 
28.4%

Length

2024-04-17T20:38:43.432851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:38:43.507397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 652
71.6%
l00 259
 
28.4%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing911
Missing (%)100.0%
Memory size8.1 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_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>
23식육포장처리업07_22_06_P341000034100001042014000120140519<NA>3폐업2폐업20190717<NA><NA><NA>561-19810.0<NA>대구광역시 중구 달성동 33-5번지 1층대구광역시 중구 달성로21길 48, 1층 (달성동)41922해뜰축산20190717113647U2019-07-19 02:40:00.0<NA>342635.736833265104.565973식육포장처리업식육포장처리업<NA>000<NA>
34식육포장처리업07_22_06_P341000034100000042009000120090701<NA>3폐업2폐업20101130<NA><NA><NA>421-924534.4<NA>대구광역시 중구 남산동 2654-6번지<NA><NA>세운축산유통20101201093500I2018-08-31 23:59:59.0<NA>342754.484823263748.253785식육포장처리업식육포장처리업<NA>000<NA>
45식육포장처리업07_22_06_P341000034100000042004000120041120<NA>3폐업2폐업20060726<NA><NA><NA>527-785579.4<NA>대구광역시 중구 달성동 284-37번지<NA><NA>(주)천마미트20060726151957I2018-08-31 23:59:59.0<NA>342670.561006264952.89317식육포장처리업식육포장처리업<NA>L00<NA>
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