Overview

Dataset statistics

Number of variables33
Number of observations980
Missing cells8219
Missing cells (%)25.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory271.9 KiB
Average record size in memory284.1 B

Variable types

Numeric12
Categorical11
Unsupported5
Text4
DateTime1

Dataset

Description6270000_대구광역시_07_22_06_P_식육포장처리업_10월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000086418&dataSetDetailId=DDI_0000086474&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 (54.5%)Imbalance
상세영업상태명 is highly imbalanced (54.5%)Imbalance
휴업종료일자 is highly imbalanced (98.5%)Imbalance
인허가취소일자 has 980 (100.0%) missing valuesMissing
폐업일자 has 611 (62.3%) missing valuesMissing
휴업시작일자 has 974 (99.4%) missing valuesMissing
재개업일자 has 970 (99.0%) missing valuesMissing
소재지전화 has 493 (50.3%) missing valuesMissing
소재지우편번호 has 980 (100.0%) missing valuesMissing
도로명전체주소 has 47 (4.8%) missing valuesMissing
도로명우편번호 has 201 (20.5%) missing valuesMissing
업태구분명 has 980 (100.0%) missing valuesMissing
좌표정보(X) has 10 (1.0%) missing valuesMissing
좌표정보(Y) has 10 (1.0%) missing valuesMissing
축산일련번호 has 980 (100.0%) missing valuesMissing
총종업원수 has 980 (100.0%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 24.00129712)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 565 (57.7%) zerosZeros

Reproduction

Analysis started2023-12-10 18:59:49.925947
Analysis finished2023-12-10 18:59:51.422748
Duration1.5 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct980
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean490.5
Minimum1
Maximum980
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T03:59:51.546030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile49.95
Q1245.75
median490.5
Q3735.25
95-th percentile931.05
Maximum980
Range979
Interquartile range (IQR)489.5

Descriptive statistics

Standard deviation283.04593
Coefficient of variation (CV)0.57705593
Kurtosis-1.2
Mean490.5
Median Absolute Deviation (MAD)245
Skewness0
Sum480690
Variance80115
MonotonicityStrictly increasing
2023-12-11T03:59:51.758337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
646 1
 
0.1%
648 1
 
0.1%
649 1
 
0.1%
650 1
 
0.1%
651 1
 
0.1%
652 1
 
0.1%
653 1
 
0.1%
654 1
 
0.1%
655 1
 
0.1%
Other values (970) 970
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 (%)
980 1
0.1%
979 1
0.1%
978 1
0.1%
977 1
0.1%
976 1
0.1%
975 1
0.1%
974 1
0.1%
973 1
0.1%
972 1
0.1%
971 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
식육포장처리업
980 

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 980
100.0%

Length

2023-12-11T03:59:51.946324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:52.080942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 980
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
07_22_06_P
980 

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 980
100.0%

Length

2023-12-11T03:59:52.225592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:52.384567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_06_p 980
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449020.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T03:59:52.513512image/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 deviation19289.197
Coefficient of variation (CV)0.0055926596
Kurtosis-0.9548028
Mean3449020.4
Median Absolute Deviation (MAD)20000
Skewness-0.077382571
Sum3.38004 × 109
Variance3.7207313 × 108
MonotonicityIncreasing
2023-12-11T03:59:52.690722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 349
35.6%
3470000 149
15.2%
3420000 148
15.1%
3430000 118
 
12.0%
3480000 107
 
10.9%
3460000 55
 
5.6%
3440000 42
 
4.3%
3410000 12
 
1.2%
ValueCountFrequency (%)
3410000 12
 
1.2%
3420000 148
15.1%
3430000 118
 
12.0%
3440000 42
 
4.3%
3450000 349
35.6%
3460000 55
 
5.6%
3470000 149
15.2%
3480000 107
 
10.9%
ValueCountFrequency (%)
3480000 107
 
10.9%
3470000 149
15.2%
3460000 55
 
5.6%
3450000 349
35.6%
3440000 42
 
4.3%
3430000 118
 
12.0%
3420000 148
15.1%
3410000 12
 
1.2%

관리번호
Real number (ℝ)

UNIQUE 

Distinct980
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4490205 × 1017
Minimum3.41 × 1017
Maximum3.4800001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T03:59:52.905330image/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 deviation1.9289196 × 1015
Coefficient of variation (CV)0.0055926592
Kurtosis-0.95480271
Mean3.4490205 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.077382229
Sum5.9626149 × 1018
Variance3.7207309 × 1030
MonotonicityNot monotonic
2023-12-11T03:59:53.140610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000010420160003 1
 
0.1%
345000010420200004 1
 
0.1%
345000010420200002 1
 
0.1%
345000010420200003 1
 
0.1%
345000010420180018 1
 
0.1%
345000010420190017 1
 
0.1%
345000010420190018 1
 
0.1%
345000010420190016 1
 
0.1%
345000010420190015 1
 
0.1%
345000010420190019 1
 
0.1%
Other values (970) 970
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 (%)
348000010420200012 1
0.1%
348000010420200011 1
0.1%
348000010420200010 1
0.1%
348000010420200009 1
0.1%
348000010420200008 1
0.1%
348000010420200007 1
0.1%
348000010420200006 1
0.1%
348000010420200005 1
0.1%
348000010420200004 1
0.1%
348000010420200003 1
0.1%

인허가일자
Real number (ℝ)

Distinct841
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20129309
Minimum19870213
Maximum20201030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T03:59:53.365046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19870213
5-th percentile20031024
Q120110126
median20140306
Q320170450
95-th percentile20200103
Maximum20201030
Range330817
Interquartile range (IQR)60324.25

Descriptive statistics

Standard deviation51832.049
Coefficient of variation (CV)0.0025749542
Kurtosis1.1366782
Mean20129309
Median Absolute Deviation (MAD)30183
Skewness-1.007062
Sum1.9726723 × 1010
Variance2.6865613 × 109
MonotonicityNot monotonic
2023-12-11T03:59:53.603991image/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%
20180213 3
 
0.3%
20150417 3
 
0.3%
20131108 3
 
0.3%
20181127 3
 
0.3%
20120709 3
 
0.3%
20110525 3
 
0.3%
20130609 3
 
0.3%
Other values (831) 947
96.6%
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 (%)
20201030 1
0.1%
20201020 1
0.1%
20201007 1
0.1%
20200924 1
0.1%
20200824 1
0.1%
20200821 1
0.1%
20200819 1
0.1%
20200818 1
0.1%
20200812 2
0.2%
20200806 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing980
Missing (%)100.0%
Memory size8.7 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
1
606 
3
361 
4
 
11
2
 
2

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 (%)
1 606
61.8%
3 361
36.8%
4 11
 
1.1%
2 2
 
0.2%

Length

2023-12-11T03:59:53.827706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:54.012595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 606
61.8%
3 361
36.8%
4 11
 
1.1%
2 2
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
영업/정상
606 
폐업
361 
취소/말소/만료/정지/중지
 
11
휴업
 
2

Length

Max length14
Median length5
Mean length3.9897959
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 606
61.8%
폐업 361
36.8%
취소/말소/만료/정지/중지 11
 
1.1%
휴업 2
 
0.2%

Length

2023-12-11T03:59:54.200660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:54.385745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 606
61.8%
폐업 361
36.8%
취소/말소/만료/정지/중지 11
 
1.1%
휴업 2
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
0
606 
2
361 
4
 
10
1
 
2
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 (%)
0 606
61.8%
2 361
36.8%
4 10
 
1.0%
1 2
 
0.2%
3 1
 
0.1%

Length

2023-12-11T03:59:54.552767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:54.729699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 606
61.8%
2 361
36.8%
4 10
 
1.0%
1 2
 
0.2%
3 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
정상
606 
폐업
361 
말소
 
10
휴업
 
2
행정처분
 
1

Length

Max length4
Median length2
Mean length2.0020408
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
정상 606
61.8%
폐업 361
36.8%
말소 10
 
1.0%
휴업 2
 
0.2%
행정처분 1
 
0.1%

Length

2023-12-11T03:59:54.901296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:55.072853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 606
61.8%
폐업 361
36.8%
말소 10
 
1.0%
휴업 2
 
0.2%
행정처분 1
 
0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct341
Distinct (%)92.4%
Missing611
Missing (%)62.3%
Infinite0
Infinite (%)0.0%
Mean20143483
Minimum20040131
Maximum20201023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T03:59:55.251054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040131
5-th percentile20060959
Q120111229
median20150203
Q320171024
95-th percentile20200574
Maximum20201023
Range160892
Interquartile range (IQR)59795

Descriptive statistics

Standard deviation40671.474
Coefficient of variation (CV)0.0020190884
Kurtosis-0.37957634
Mean20143483
Median Absolute Deviation (MAD)29884
Skewness-0.5362209
Sum7.4329452 × 109
Variance1.6541688 × 109
MonotonicityNot monotonic
2023-12-11T03:59:55.511383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20111116 3
 
0.3%
20160120 3
 
0.3%
20190529 2
 
0.2%
20180911 2
 
0.2%
20200213 2
 
0.2%
20140630 2
 
0.2%
20140224 2
 
0.2%
20080124 2
 
0.2%
20130219 2
 
0.2%
20170612 2
 
0.2%
Other values (331) 347
35.4%
(Missing) 611
62.3%
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 (%)
20201023 1
0.1%
20201020 1
0.1%
20201010 1
0.1%
20201006 1
0.1%
20200921 1
0.1%
20200915 1
0.1%
20200914 1
0.1%
20200908 1
0.1%
20200830 1
0.1%
20200811 1
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing974
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean20150691
Minimum20080502
Maximum20200305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T03:59:55.713296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080502
5-th percentile20085682
Q120116095
median20170454
Q320180954
95-th percentile20195530
Maximum20200305
Range119803
Interquartile range (IQR)64859.5

Descriptive statistics

Standard deviation48450.701
Coefficient of variation (CV)0.0024044189
Kurtosis-1.4289752
Mean20150691
Median Absolute Deviation (MAD)20300.5
Skewness-0.76381747
Sum1.2090414 × 108
Variance2.3474705 × 109
MonotonicityNot monotonic
2023-12-11T03:59:55.912260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20181205 1
 
0.1%
20200305 1
 
0.1%
20080502 1
 
0.1%
20101224 1
 
0.1%
20180202 1
 
0.1%
20160707 1
 
0.1%
(Missing) 974
99.4%
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%
ValueCountFrequency (%)
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 size7.8 KiB
<NA>
978 
20190604
 
1
20170706
 
1

Length

Max length8
Median length4
Mean length4.0081633
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> 978
99.8%
20190604 1
 
0.1%
20170706 1
 
0.1%

Length

2023-12-11T03:59:56.140825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:59:56.309427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 978
99.8%
20190604 1
 
0.1%
20170706 1
 
0.1%

재개업일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing970
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean20145835
Minimum20041230
Maximum20200827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T03:59:56.443087image/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
2023-12-11T03:59:56.615026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20190212 1
 
0.1%
20171201 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) 970
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 

Distinct463
Distinct (%)95.1%
Missing493
Missing (%)50.3%
Memory size7.8 KiB
2023-12-11T03:59:57.037230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length8
Mean length9.8583162
Min length5

Characters and Unicode

Total characters4801
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

Unique442 ?
Unique (%)90.8%

Sample

1st row421-9245
2nd row561-1981
3rd row070-4184-4932
4th row527-7855
5th row427-8885
ValueCountFrequency (%)
053-381-3834 4
 
0.8%
565-9998 3
 
0.6%
554-5544 2
 
0.4%
763-8397 2
 
0.4%
939-7765 2
 
0.4%
984-8880 2
 
0.4%
762-0775 2
 
0.4%
0535663392 2
 
0.4%
763-6689 2
 
0.4%
621-7345 2
 
0.4%
Other values (453) 464
95.3%
2023-12-11T03:59:57.627780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 719
15.0%
- 663
13.8%
3 624
13.0%
0 490
10.2%
6 395
8.2%
2 389
8.1%
8 334
7.0%
9 311
6.5%
1 310
6.5%
4 288
6.0%
Other values (3) 278
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4134
86.1%
Dash Punctuation 663
 
13.8%
Other Punctuation 3
 
0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 719
17.4%
3 624
15.1%
0 490
11.9%
6 395
9.6%
2 389
9.4%
8 334
8.1%
9 311
7.5%
1 310
7.5%
4 288
7.0%
7 274
 
6.6%
Dash Punctuation
ValueCountFrequency (%)
- 663
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4801
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 719
15.0%
- 663
13.8%
3 624
13.0%
0 490
10.2%
6 395
8.2%
2 389
8.1%
8 334
7.0%
9 311
6.5%
1 310
6.5%
4 288
6.0%
Other values (3) 278
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4801
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 719
15.0%
- 663
13.8%
3 624
13.0%
0 490
10.2%
6 395
8.2%
2 389
8.1%
8 334
7.0%
9 311
6.5%
1 310
6.5%
4 288
6.0%
Other values (3) 278
 
5.8%

소재지면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct375
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean271.58129
Minimum0
Maximum37289
Zeros565
Zeros (%)57.7%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T03:59:57.841434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3253.2
95-th percentile1153.96
Maximum37289
Range37289
Interquartile range (IQR)253.2

Descriptive statistics

Standard deviation1299.4369
Coefficient of variation (CV)4.784707
Kurtosis674.93825
Mean271.58129
Median Absolute Deviation (MAD)0
Skewness24.001297
Sum266149.66
Variance1688536.2
MonotonicityNot monotonic
2023-12-11T03:59:58.007798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 565
57.7%
583.0 3
 
0.3%
331.0 3
 
0.3%
211.0 3
 
0.3%
708.0 3
 
0.3%
179.5 2
 
0.2%
236.0 2
 
0.2%
203.1 2
 
0.2%
261.6 2
 
0.2%
496.0 2
 
0.2%
Other values (365) 393
40.1%
ValueCountFrequency (%)
0.0 565
57.7%
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 

Missing980
Missing (%)100.0%
Memory size8.7 KiB

소재지전체주소
Text

Distinct866
Distinct (%)88.6%
Missing3
Missing (%)0.3%
Memory size7.8 KiB
2023-12-11T03:59:58.394784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length38
Mean length22.273286
Min length12

Characters and Unicode

Total characters21761
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

Unique777 ?
Unique (%)79.5%

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 977
23.6%
북구 348
 
8.4%
달서구 148
 
3.6%
동구 148
 
3.6%
서구 117
 
2.8%
달성군 107
 
2.6%
수성구 55
 
1.3%
남구 42
 
1.0%
산격동 32
 
0.8%
노원동3가 31
 
0.8%
Other values (1023) 2128
51.5%
2023-12-11T03:59:58.927454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4119
18.9%
구 1875
 
8.6%
동 1070
 
4.9%
대 1026
 
4.7%
1 1021
 
4.7%
시 981
 
4.5%
광 977
 
4.5%
역 977
 
4.5%
지 931
 
4.3%
번 905
 
4.2%
Other values (171) 7879
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12440
57.2%
Decimal Number 4377
 
20.1%
Space Separator 4119
 
18.9%
Dash Punctuation 784
 
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 1875
15.1%
동 1070
 
8.6%
대 1026
 
8.2%
시 981
 
7.9%
광 977
 
7.9%
역 977
 
7.9%
지 931
 
7.5%
번 905
 
7.3%
북 348
 
2.8%
서 307
 
2.5%
Other values (153) 3043
24.5%
Decimal Number
ValueCountFrequency (%)
1 1021
23.3%
2 549
12.5%
3 453
10.3%
4 357
 
8.2%
7 355
 
8.1%
0 353
 
8.1%
6 351
 
8.0%
5 329
 
7.5%
8 317
 
7.2%
9 292
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
B 6
42.9%
A 6
42.9%
C 2
 
14.3%
Space Separator
ValueCountFrequency (%)
4119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 784
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 12440
57.2%
Common 9307
42.8%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1875
15.1%
동 1070
 
8.6%
대 1026
 
8.2%
시 981
 
7.9%
광 977
 
7.9%
역 977
 
7.9%
지 931
 
7.5%
번 905
 
7.3%
북 348
 
2.8%
서 307
 
2.5%
Other values (153) 3043
24.5%
Common
ValueCountFrequency (%)
4119
44.3%
1 1021
 
11.0%
- 784
 
8.4%
2 549
 
5.9%
3 453
 
4.9%
4 357
 
3.8%
7 355
 
3.8%
0 353
 
3.8%
6 351
 
3.8%
5 329
 
3.5%
Other values (5) 636
 
6.8%
Latin
ValueCountFrequency (%)
B 6
42.9%
A 6
42.9%
C 2
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12440
57.2%
ASCII 9321
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4119
44.2%
1 1021
 
11.0%
- 784
 
8.4%
2 549
 
5.9%
3 453
 
4.9%
4 357
 
3.8%
7 355
 
3.8%
0 353
 
3.8%
6 351
 
3.8%
5 329
 
3.5%
Other values (8) 650
 
7.0%
Hangul
ValueCountFrequency (%)
구 1875
15.1%
동 1070
 
8.6%
대 1026
 
8.2%
시 981
 
7.9%
광 977
 
7.9%
역 977
 
7.9%
지 931
 
7.5%
번 905
 
7.3%
북 348
 
2.8%
서 307
 
2.5%
Other values (153) 3043
24.5%

도로명전체주소
Text

MISSING 

Distinct835
Distinct (%)89.5%
Missing47
Missing (%)4.8%
Memory size7.8 KiB
2023-12-11T03:59:59.435775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length45
Mean length25.446945
Min length19

Characters and Unicode

Total characters23742
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

Unique758 ?
Unique (%)81.2%

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 933
 
19.2%
북구 346
 
7.1%
동구 139
 
2.9%
달서구 121
 
2.5%
서구 118
 
2.4%
달성군 106
 
2.2%
1층 66
 
1.4%
수성구 55
 
1.1%
남구 38
 
0.8%
중리동 29
 
0.6%
Other values (1151) 2911
59.9%
2023-12-11T04:00:00.106356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3929
 
16.5%
구 1848
 
7.8%
동 1117
 
4.7%
대 1059
 
4.5%
시 960
 
4.0%
1 948
 
4.0%
역 940
 
4.0%
광 933
 
3.9%
로 838
 
3.5%
( 833
 
3.5%
Other values (224) 10337
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13872
58.4%
Space Separator 3929
 
16.5%
Decimal Number 3730
 
15.7%
Open Punctuation 833
 
3.5%
Close Punctuation 833
 
3.5%
Dash Punctuation 340
 
1.4%
Other Punctuation 183
 
0.8%
Uppercase Letter 22
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1848
 
13.3%
동 1117
 
8.1%
대 1059
 
7.6%
시 960
 
6.9%
역 940
 
6.8%
광 933
 
6.7%
로 838
 
6.0%
길 664
 
4.8%
북 409
 
2.9%
서 327
 
2.4%
Other values (205) 4777
34.4%
Decimal Number
ValueCountFrequency (%)
1 948
25.4%
2 547
14.7%
3 436
11.7%
4 312
 
8.4%
5 308
 
8.3%
6 293
 
7.9%
7 269
 
7.2%
9 218
 
5.8%
0 208
 
5.6%
8 191
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
A 9
40.9%
B 9
40.9%
C 3
 
13.6%
D 1
 
4.5%
Space Separator
ValueCountFrequency (%)
3929
100.0%
Open Punctuation
ValueCountFrequency (%)
( 833
100.0%
Close Punctuation
ValueCountFrequency (%)
) 833
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 340
100.0%
Other Punctuation
ValueCountFrequency (%)
, 183
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13872
58.4%
Common 9848
41.5%
Latin 22
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1848
 
13.3%
동 1117
 
8.1%
대 1059
 
7.6%
시 960
 
6.9%
역 940
 
6.8%
광 933
 
6.7%
로 838
 
6.0%
길 664
 
4.8%
북 409
 
2.9%
서 327
 
2.4%
Other values (205) 4777
34.4%
Common
ValueCountFrequency (%)
3929
39.9%
1 948
 
9.6%
( 833
 
8.5%
) 833
 
8.5%
2 547
 
5.6%
3 436
 
4.4%
- 340
 
3.5%
4 312
 
3.2%
5 308
 
3.1%
6 293
 
3.0%
Other values (5) 1069
 
10.9%
Latin
ValueCountFrequency (%)
A 9
40.9%
B 9
40.9%
C 3
 
13.6%
D 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13872
58.4%
ASCII 9870
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3929
39.8%
1 948
 
9.6%
( 833
 
8.4%
) 833
 
8.4%
2 547
 
5.5%
3 436
 
4.4%
- 340
 
3.4%
4 312
 
3.2%
5 308
 
3.1%
6 293
 
3.0%
Other values (9) 1091
 
11.1%
Hangul
ValueCountFrequency (%)
구 1848
 
13.3%
동 1117
 
8.1%
대 1059
 
7.6%
시 960
 
6.9%
역 940
 
6.8%
광 933
 
6.7%
로 838
 
6.0%
길 664
 
4.8%
북 409
 
2.9%
서 327
 
2.4%
Other values (205) 4777
34.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct358
Distinct (%)46.0%
Missing201
Missing (%)20.5%
Infinite0
Infinite (%)0.0%
Mean43585.312
Minimum41000
Maximum704917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T04:00:00.310612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41067.8
Q141441
median41598
Q342607
95-th percentile42971.1
Maximum704917
Range663917
Interquartile range (IQR)1166

Descriptive statistics

Standard deviation33526.324
Coefficient of variation (CV)0.76921151
Kurtosis386.71492
Mean43585.312
Median Absolute Deviation (MAD)393
Skewness19.687081
Sum33952958
Variance1.1240144 × 109
MonotonicityNot monotonic
2023-12-11T04:00:00.521267image/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%
41418 12
 
1.2%
41485 12
 
1.2%
41490 12
 
1.2%
41419 11
 
1.1%
41472 11
 
1.1%
41750 10
 
1.0%
Other values (348) 654
66.7%
(Missing) 201
 
20.5%
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 3
0.3%
41037 2
0.2%
41041 1
 
0.1%
ValueCountFrequency (%)
704917 1
 
0.1%
702802 1
 
0.1%
43014 1
 
0.1%
43008 1
 
0.1%
43007 2
0.2%
43004 1
 
0.1%
43002 3
0.3%
43000 1
 
0.1%
42993 1
 
0.1%
42989 1
 
0.1%

사업장명
Text

Distinct893
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
2023-12-11T04:00:00.910313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length5.9857143
Min length2

Characters and Unicode

Total characters5866
Distinct characters393
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

Unique810 ?
Unique (%)82.7%

Sample

1st row힘찬한우
2nd row다사랑
3rd row새동산축산
4th row세운축산
5th row해뜰축산
ValueCountFrequency (%)
주식회사 55
 
4.8%
농업회사법인 17
 
1.5%
축산 8
 
0.7%
푸드 5
 
0.4%
금미식품 4
 
0.4%
세운축산 4
 
0.4%
sw팜 3
 
0.3%
풀토래(주 3
 
0.3%
프라자 3
 
0.3%
유통 3
 
0.3%
Other values (935) 1030
90.7%
2023-12-11T04:00:01.460289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 272
 
4.6%
축 250
 
4.3%
주 249
 
4.2%
식 207
 
3.5%
) 201
 
3.4%
( 195
 
3.3%
푸 191
 
3.3%
드 190
 
3.2%
155
 
2.6%
품 144
 
2.5%
Other values (383) 3812
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5158
87.9%
Close Punctuation 201
 
3.4%
Open Punctuation 195
 
3.3%
Space Separator 155
 
2.6%
Uppercase Letter 113
 
1.9%
Lowercase Letter 19
 
0.3%
Other Punctuation 16
 
0.3%
Decimal Number 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 272
 
5.3%
축 250
 
4.8%
주 249
 
4.8%
식 207
 
4.0%
푸 191
 
3.7%
드 190
 
3.7%
품 144
 
2.8%
유 111
 
2.2%
미 110
 
2.1%
통 105
 
2.0%
Other values (348) 3329
64.5%
Uppercase Letter
ValueCountFrequency (%)
S 18
15.9%
F 17
15.0%
D 9
8.0%
C 9
8.0%
K 8
 
7.1%
M 7
 
6.2%
G 6
 
5.3%
H 6
 
5.3%
B 6
 
5.3%
N 6
 
5.3%
Other values (8) 21
18.6%
Lowercase Letter
ValueCountFrequency (%)
o 4
21.1%
f 3
15.8%
p 3
15.8%
d 2
10.5%
c 2
10.5%
a 2
10.5%
n 2
10.5%
y 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
& 10
62.5%
. 5
31.2%
＆ 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 5
55.6%
9 2
 
22.2%
8 2
 
22.2%
Close Punctuation
ValueCountFrequency (%)
) 201
100.0%
Open Punctuation
ValueCountFrequency (%)
( 195
100.0%
Space Separator
ValueCountFrequency (%)
155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5158
87.9%
Common 576
 
9.8%
Latin 132
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 272
 
5.3%
축 250
 
4.8%
주 249
 
4.8%
식 207
 
4.0%
푸 191
 
3.7%
드 190
 
3.7%
품 144
 
2.8%
유 111
 
2.2%
미 110
 
2.1%
통 105
 
2.0%
Other values (348) 3329
64.5%
Latin
ValueCountFrequency (%)
S 18
13.6%
F 17
12.9%
D 9
 
6.8%
C 9
 
6.8%
K 8
 
6.1%
M 7
 
5.3%
G 6
 
4.5%
H 6
 
4.5%
B 6
 
4.5%
N 6
 
4.5%
Other values (16) 40
30.3%
Common
ValueCountFrequency (%)
) 201
34.9%
( 195
33.9%
155
26.9%
& 10
 
1.7%
. 5
 
0.9%
1 5
 
0.9%
9 2
 
0.3%
8 2
 
0.3%
＆ 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5158
87.9%
ASCII 707
 
12.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 272
 
5.3%
축 250
 
4.8%
주 249
 
4.8%
식 207
 
4.0%
푸 191
 
3.7%
드 190
 
3.7%
품 144
 
2.8%
유 111
 
2.2%
미 110
 
2.1%
통 105
 
2.0%
Other values (348) 3329
64.5%
ASCII
ValueCountFrequency (%)
) 201
28.4%
( 195
27.6%
155
21.9%
S 18
 
2.5%
F 17
 
2.4%
& 10
 
1.4%
D 9
 
1.3%
C 9
 
1.3%
K 8
 
1.1%
M 7
 
1.0%
Other values (24) 78
 
11.0%
None
ValueCountFrequency (%)
＆ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct980
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0164527 × 1013
Minimum2.0040908 × 1013
Maximum2.020103 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T04:00:01.649021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040908 × 1013
5-th percentile2.0101111 × 1013
Q12.0141096 × 1013
median2.0171025 × 1013
Q32.0191022 × 1013
95-th percentile2.0200719 × 1013
Maximum2.020103 × 1013
Range1.6012205 × 1011
Interquartile range (IQR)4.9926245 × 1010

Descriptive statistics

Standard deviation3.4009581 × 1010
Coefficient of variation (CV)0.0016866045
Kurtosis0.69167308
Mean2.0164527 × 1013
Median Absolute Deviation (MAD)2.019894 × 1010
Skewness-1.0646228
Sum1.9761236 × 1016
Variance1.1566516 × 1021
MonotonicityNot monotonic
2023-12-11T04:00:02.217740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170516162403 1
 
0.1%
20200616093048 1
 
0.1%
20200212163830 1
 
0.1%
20200228102307 1
 
0.1%
20191023090317 1
 
0.1%
20200918092025 1
 
0.1%
20200811092447 1
 
0.1%
20191107090718 1
 
0.1%
20191024105209 1
 
0.1%
20191210145205 1
 
0.1%
Other values (970) 970
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 (%)
20201030155637 1
0.1%
20201030132125 1
0.1%
20201030091924 1
0.1%
20201029131500 1
0.1%
20201028093236 1
0.1%
20201023170555 1
0.1%
20201021135336 1
0.1%
20201020181007 1
0.1%
20201020141549 1
0.1%
20201016112038 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
I
681 
U
299 

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 681
69.5%
U 299
30.5%

Length

2023-12-11T04:00:02.432773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:02.572327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 681
69.5%
u 299
30.5%

데이터갱신일자
Date

Distinct292
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
Minimum2018-08-31 23:59:59
Maximum2020-11-01 02:40:00
2023-12-11T04:00:02.728293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:00:02.955672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing980
Missing (%)100.0%
Memory size8.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct815
Distinct (%)84.0%
Missing10
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean342132.37
Minimum326032.48
Maximum358555.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T04:00:03.187346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326032.48
5-th percentile332073.34
Q1338915.35
median341466.06
Q3345281.98
95-th percentile353101.44
Maximum358555.81
Range32523.328
Interquartile range (IQR)6366.629

Descriptive statistics

Standard deviation5831.6943
Coefficient of variation (CV)0.017045141
Kurtosis0.24032162
Mean342132.37
Median Absolute Deviation (MAD)3147.3682
Skewness0.20867203
Sum3.318684 × 108
Variance34008658
MonotonicityNot monotonic
2023-12-11T04:00:03.406537image/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%
349273.072317 4
 
0.4%
352677.090755 4
 
0.4%
338448.856663 4
 
0.4%
338607.819549 4
 
0.4%
346318.810574 3
 
0.3%
338678.797273 3
 
0.3%
Other values (805) 922
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%
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%
355800.757789 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct815
Distinct (%)84.0%
Missing10
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean264819.58
Minimum239536.92
Maximum278519.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T04:00:03.621614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239536.92
5-th percentile255844.26
Q1261710.28
median265330.84
Q3267906.41
95-th percentile272621.4
Maximum278519.37
Range38982.452
Interquartile range (IQR)6196.1302

Descriptive statistics

Standard deviation5200.6454
Coefficient of variation (CV)0.019638447
Kurtosis2.1548096
Mean264819.58
Median Absolute Deviation (MAD)3051.5939
Skewness-0.93493225
Sum2.56875 × 108
Variance27046713
MonotonicityNot monotonic
2023-12-11T04:00:03.861294image/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%
264078.515685 4
 
0.4%
260590.722889 4
 
0.4%
266813.94199 4
 
0.4%
266082.910074 4
 
0.4%
267545.384599 3
 
0.3%
268252.175255 3
 
0.3%
Other values (805) 922
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%
245085.736593 1
0.1%
245240.113168 1
0.1%
245608.948144 1
0.1%
248184.527628 1
0.1%
248252.677425 2
0.2%
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 size7.8 KiB
식육포장처리업
980 

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 980
100.0%

Length

2023-12-11T04:00:04.071287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:04.201400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 980
100.0%

축산물가공업구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
식육포장처리업
980 

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 980
100.0%

Length

2023-12-11T04:00:04.329386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:04.472860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 980
100.0%

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing980
Missing (%)100.0%
Memory size8.7 KiB

권리주체일련번호
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
000
707 
L00
273 

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 (%)
000 707
72.1%
L00 273
 
27.9%

Length

2023-12-11T04:00:04.609741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:04.744908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 707
72.1%
l00 273
 
27.9%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing980
Missing (%)100.0%
Memory size8.7 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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