Overview

Dataset statistics

Number of variables33
Number of observations1020
Missing cells6499
Missing cells (%)19.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory283.0 KiB
Average record size in memory284.1 B

Variable types

Numeric12
Categorical13
Unsupported3
Text4
DateTime1

Dataset

Description6270000_대구광역시_07_22_06_P_식육포장처리업_9월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000090910&dataSetDetailId=DDI_0000090936&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 (52.1%)Imbalance
상세영업상태명 is highly imbalanced (52.1%)Imbalance
휴업종료일자 is highly imbalanced (98.6%)Imbalance
축산일련번호 is highly imbalanced (79.9%)Imbalance
총종업원수 is highly imbalanced (79.9%)Imbalance
인허가취소일자 has 1020 (100.0%) missing valuesMissing
폐업일자 has 619 (60.7%) missing valuesMissing
휴업시작일자 has 1013 (99.3%) missing valuesMissing
재개업일자 has 1010 (99.0%) missing valuesMissing
소재지전화 has 525 (51.5%) missing valuesMissing
소재지우편번호 has 1020 (100.0%) missing valuesMissing
도로명전체주소 has 47 (4.6%) missing valuesMissing
도로명우편번호 has 200 (19.6%) missing valuesMissing
업태구분명 has 1020 (100.0%) missing valuesMissing
좌표정보(X) has 11 (1.1%) missing valuesMissing
좌표정보(Y) has 11 (1.1%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 24.44472361)Skewed
도로명우편번호 is highly skewed (γ1 = 20.19953143)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
소재지면적 has 605 (59.3%) zerosZeros

Reproduction

Analysis started2024-04-18 04:19:10.257603
Analysis finished2024-04-18 04:19:10.865045
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1020
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean510.5
Minimum1
Maximum1020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2024-04-18T13:19:10.930200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile51.95
Q1255.75
median510.5
Q3765.25
95-th percentile969.05
Maximum1020
Range1019
Interquartile range (IQR)509.5

Descriptive statistics

Standard deviation294.59294
Coefficient of variation (CV)0.57706746
Kurtosis-1.2
Mean510.5
Median Absolute Deviation (MAD)255
Skewness0
Sum520710
Variance86785
MonotonicityStrictly increasing
2024-04-18T13:19:11.048789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
687 1
 
0.1%
674 1
 
0.1%
675 1
 
0.1%
676 1
 
0.1%
677 1
 
0.1%
678 1
 
0.1%
679 1
 
0.1%
680 1
 
0.1%
681 1
 
0.1%
Other values (1010) 1010
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 (%)
1020 1
0.1%
1019 1
0.1%
1018 1
0.1%
1017 1
0.1%
1016 1
0.1%
1015 1
0.1%
1014 1
0.1%
1013 1
0.1%
1012 1
0.1%
1011 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
식육포장처리업
1020 

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 1020
100.0%

Length

2024-04-18T13:19:11.186487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:19:11.285498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1020
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
07_22_06_P
1020 

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 1020
100.0%

Length

2024-04-18T13:19:11.387860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:19:11.464638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_06_p 1020
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449058.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2024-04-18T13:19:11.532044image/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 deviation19575.888
Coefficient of variation (CV)0.0056757187
Kurtosis-0.99294234
Mean3449058.8
Median Absolute Deviation (MAD)20000
Skewness-0.074000159
Sum3.51804 × 109
Variance3.8321538 × 108
MonotonicityIncreasing
2024-04-18T13:19:11.638829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 355
34.8%
3420000 160
15.7%
3470000 153
15.0%
3430000 121
 
11.9%
3480000 119
 
11.7%
3460000 57
 
5.6%
3440000 42
 
4.1%
3410000 13
 
1.3%
ValueCountFrequency (%)
3410000 13
 
1.3%
3420000 160
15.7%
3430000 121
 
11.9%
3440000 42
 
4.1%
3450000 355
34.8%
3460000 57
 
5.6%
3470000 153
15.0%
3480000 119
 
11.7%
ValueCountFrequency (%)
3480000 119
 
11.7%
3470000 153
15.0%
3460000 57
 
5.6%
3450000 355
34.8%
3440000 42
 
4.1%
3430000 121
 
11.9%
3420000 160
15.7%
3410000 13
 
1.3%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1020
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4490589 × 1017
Minimum3.41 × 1017
Maximum3.4800001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2024-04-18T13:19:11.757157image/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 deviation1.9575887 × 1015
Coefficient of variation (CV)0.0056757183
Kurtosis-0.99294225
Mean3.4490589 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.073999757
Sum1.3158712 × 1018
Variance3.8321535 × 1030
MonotonicityNot monotonic
2024-04-18T13:19:11.882060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000010420160003 1
 
0.1%
345000010420190006 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%
345000010420190010 1
 
0.1%
345000010420190012 1
 
0.1%
Other values (1010) 1010
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 (%)
348000010420210008 1
0.1%
348000010420210007 1
0.1%
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%

인허가일자
Real number (ℝ)

Distinct873
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20132255
Minimum19870213
Maximum20210720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2024-04-18T13:19:12.045954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19870213
5-th percentile20031127
Q120110317
median20140564
Q320170904
95-th percentile20200702
Maximum20210720
Range340507
Interquartile range (IQR)60587.75

Descriptive statistics

Standard deviation52927.416
Coefficient of variation (CV)0.002628986
Kurtosis1.0289282
Mean20132255
Median Absolute Deviation (MAD)30258
Skewness-0.95511387
Sum2.05349 × 1010
Variance2.8013114 × 109
MonotonicityNot monotonic
2024-04-18T13:19:12.176898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20131029 4
 
0.4%
20140821 4
 
0.4%
20170313 4
 
0.4%
20050124 3
 
0.3%
20150417 3
 
0.3%
20120709 3
 
0.3%
20131213 3
 
0.3%
20130609 3
 
0.3%
20181127 3
 
0.3%
20140714 3
 
0.3%
Other values (863) 987
96.8%
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 (%)
20210720 1
 
0.1%
20210715 1
 
0.1%
20210708 1
 
0.1%
20210623 1
 
0.1%
20210621 1
 
0.1%
20210619 1
 
0.1%
20210607 3
0.3%
20210602 1
 
0.1%
20210525 1
 
0.1%
20210524 1
 
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1020
Missing (%)100.0%
Memory size9.1 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
1
613 
3
387 
4
 
17
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 (%)
1 613
60.1%
3 387
37.9%
4 17
 
1.7%
2 3
 
0.3%

Length

2024-04-18T13:19:12.297324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:19:12.387619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 613
60.1%
3 387
37.9%
4 17
 
1.7%
2 3
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
영업/정상
613 
폐업
387 
취소/말소/만료/정지/중지
 
17
휴업
 
3

Length

Max length14
Median length5
Mean length4.0029412
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 613
60.1%
폐업 387
37.9%
취소/말소/만료/정지/중지 17
 
1.7%
휴업 3
 
0.3%

Length

2024-04-18T13:19:12.490677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:19:12.595733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 613
60.1%
폐업 387
37.9%
취소/말소/만료/정지/중지 17
 
1.7%
휴업 3
 
0.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
0
613 
2
387 
4
 
9
3
 
8
1
 
3

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 (%)
0 613
60.1%
2 387
37.9%
4 9
 
0.9%
3 8
 
0.8%
1 3
 
0.3%

Length

2024-04-18T13:19:12.692643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:19:12.778376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 613
60.1%
2 387
37.9%
4 9
 
0.9%
3 8
 
0.8%
1 3
 
0.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
정상
613 
폐업
387 
말소
 
9
행정처분
 
8
휴업
 
3

Length

Max length4
Median length2
Mean length2.0156863
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 613
60.1%
폐업 387
37.9%
말소 9
 
0.9%
행정처분 8
 
0.8%
휴업 3
 
0.3%

Length

2024-04-18T13:19:12.882088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:19:13.013042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 613
60.1%
폐업 387
37.9%
말소 9
 
0.9%
행정처분 8
 
0.8%
휴업 3
 
0.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct365
Distinct (%)91.0%
Missing619
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean20148764
Minimum20040131
Maximum20210818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2024-04-18T13:19:13.211958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040131
5-th percentile20061127
Q120120405
median20150914
Q320181220
95-th percentile20210401
Maximum20210818
Range170687
Interquartile range (IQR)60815

Descriptive statistics

Standard deviation42951.701
Coefficient of variation (CV)0.0021317288
Kurtosis-0.45282833
Mean20148764
Median Absolute Deviation (MAD)30509
Skewness-0.49572394
Sum8.0796544 × 109
Variance1.8448486 × 109
MonotonicityNot monotonic
2024-04-18T13:19:13.378603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210729 3
 
0.3%
20111116 3
 
0.3%
20160120 3
 
0.3%
20210401 2
 
0.2%
20200213 2
 
0.2%
20170605 2
 
0.2%
20130516 2
 
0.2%
20180911 2
 
0.2%
20210408 2
 
0.2%
20140414 2
 
0.2%
Other values (355) 378
37.1%
(Missing) 619
60.7%
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 (%)
20210818 2
0.2%
20210813 2
0.2%
20210804 1
 
0.1%
20210729 3
0.3%
20210727 1
 
0.1%
20210716 1
 
0.1%
20210715 1
 
0.1%
20210702 1
 
0.1%
20210615 1
 
0.1%
20210531 1
 
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing1013
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean20157893
Minimum20080502
Maximum20201105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2024-04-18T13:19:13.523988image/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
2024-04-18T13:19:13.662157image/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) 1013
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 size8.1 KiB
<NA>
1018 
20190604
 
1
20170706
 
1

Length

Max length8
Median length4
Mean length4.0078431
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> 1018
99.8%
20190604 1
 
0.1%
20170706 1
 
0.1%

Length

2024-04-18T13:19:13.811078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:19:13.937787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1018
99.8%
20190604 1
 
0.1%
20170706 1
 
0.1%

재개업일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing1010
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean20145835
Minimum20041230
Maximum20200827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2024-04-18T13:19:14.039185image/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
2024-04-18T13:19:14.178227image/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%
20190321 1
 
0.1%
20160907 1
 
0.1%
20111028 1
 
0.1%
(Missing) 1010
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 

Distinct471
Distinct (%)95.2%
Missing525
Missing (%)51.5%
Memory size8.1 KiB
2024-04-18T13:19:14.432490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length8
Mean length9.8969697
Min length5

Characters and Unicode

Total characters4899
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

Unique450 ?
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%
554-5544 2
 
0.4%
588-3900 2
 
0.4%
561-5533 2
 
0.4%
523-4433 2
 
0.4%
939-7765 2
 
0.4%
762-0775 2
 
0.4%
984-8880 2
 
0.4%
Other values (461) 472
95.4%
2024-04-18T13:19:14.818322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 741
15.1%
- 674
13.8%
3 638
13.0%
0 510
10.4%
6 400
8.2%
2 388
7.9%
8 335
6.8%
9 322
6.6%
1 313
6.4%
4 288
 
5.9%
Other values (3) 290
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4221
86.2%
Dash Punctuation 674
 
13.8%
Other Punctuation 3
 
0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 741
17.6%
3 638
15.1%
0 510
12.1%
6 400
9.5%
2 388
9.2%
8 335
7.9%
9 322
7.6%
1 313
7.4%
4 288
 
6.8%
7 286
 
6.8%
Dash Punctuation
ValueCountFrequency (%)
- 674
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4899
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 741
15.1%
- 674
13.8%
3 638
13.0%
0 510
10.4%
6 400
8.2%
2 388
7.9%
8 335
6.8%
9 322
6.6%
1 313
6.4%
4 288
 
5.9%
Other values (3) 290
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4899
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 741
15.1%
- 674
13.8%
3 638
13.0%
0 510
10.4%
6 400
8.2%
2 388
7.9%
8 335
6.8%
9 322
6.6%
1 313
6.4%
4 288
 
5.9%
Other values (3) 290
 
5.9%

소재지면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct377
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean261.13025
Minimum0
Maximum37289
Zeros605
Zeros (%)59.3%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2024-04-18T13:19:14.961167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3242.5
95-th percentile1108.45
Maximum37289
Range37289
Interquartile range (IQR)242.5

Descriptive statistics

Standard deviation1274.7942
Coefficient of variation (CV)4.8818326
Kurtosis700.804
Mean261.13025
Median Absolute Deviation (MAD)0
Skewness24.444724
Sum266352.86
Variance1625100.2
MonotonicityNot monotonic
2024-04-18T13:19:15.083211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 605
59.3%
331.0 3
 
0.3%
211.0 3
 
0.3%
583.0 3
 
0.3%
708.0 3
 
0.3%
1253.0 2
 
0.2%
167.0 2
 
0.2%
203.1 2
 
0.2%
253.8 2
 
0.2%
84.6 2
 
0.2%
Other values (367) 393
38.5%
ValueCountFrequency (%)
0.0 605
59.3%
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 

Missing1020
Missing (%)100.0%
Memory size9.1 KiB

소재지전체주소
Text

Distinct914
Distinct (%)89.9%
Missing3
Missing (%)0.3%
Memory size8.1 KiB
2024-04-18T13:19:15.379325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length38
Mean length21.998033
Min length12

Characters and Unicode

Total characters22372
Distinct characters184
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

Unique830 ?
Unique (%)81.6%

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 1017
23.6%
북구 354
 
8.2%
동구 160
 
3.7%
달서구 152
 
3.5%
서구 120
 
2.8%
달성군 119
 
2.8%
수성구 57
 
1.3%
남구 42
 
1.0%
노원동3가 33
 
0.8%
산격동 32
 
0.7%
Other values (1078) 2226
51.6%
2024-04-18T13:19:15.769718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4298
19.2%
구 1944
 
8.7%
동 1115
 
5.0%
대 1066
 
4.8%
1 1060
 
4.7%
시 1021
 
4.6%
광 1017
 
4.5%
역 1017
 
4.5%
지 816
 
3.6%
- 812
 
3.6%
Other values (174) 8206
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12665
56.6%
Decimal Number 4555
 
20.4%
Space Separator 4298
 
19.2%
Dash Punctuation 812
 
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 1944
15.3%
동 1115
 
8.8%
대 1066
 
8.4%
시 1021
 
8.1%
광 1017
 
8.0%
역 1017
 
8.0%
지 816
 
6.4%
번 787
 
6.2%
북 354
 
2.8%
서 316
 
2.5%
Other values (156) 3212
25.4%
Decimal Number
ValueCountFrequency (%)
1 1060
23.3%
2 563
12.4%
3 464
10.2%
7 376
 
8.3%
4 370
 
8.1%
0 368
 
8.1%
6 364
 
8.0%
5 352
 
7.7%
8 329
 
7.2%
9 309
 
6.8%
Uppercase Letter
ValueCountFrequency (%)
A 6
40.0%
B 6
40.0%
C 3
20.0%
Space Separator
ValueCountFrequency (%)
4298
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 812
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 12665
56.6%
Common 9692
43.3%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1944
15.3%
동 1115
 
8.8%
대 1066
 
8.4%
시 1021
 
8.1%
광 1017
 
8.0%
역 1017
 
8.0%
지 816
 
6.4%
번 787
 
6.2%
북 354
 
2.8%
서 316
 
2.5%
Other values (156) 3212
25.4%
Common
ValueCountFrequency (%)
4298
44.3%
1 1060
 
10.9%
- 812
 
8.4%
2 563
 
5.8%
3 464
 
4.8%
7 376
 
3.9%
4 370
 
3.8%
0 368
 
3.8%
6 364
 
3.8%
5 352
 
3.6%
Other values (5) 665
 
6.9%
Latin
ValueCountFrequency (%)
A 6
40.0%
B 6
40.0%
C 3
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12665
56.6%
ASCII 9707
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4298
44.3%
1 1060
 
10.9%
- 812
 
8.4%
2 563
 
5.8%
3 464
 
4.8%
7 376
 
3.9%
4 370
 
3.8%
0 368
 
3.8%
6 364
 
3.7%
5 352
 
3.6%
Other values (8) 680
 
7.0%
Hangul
ValueCountFrequency (%)
구 1944
15.3%
동 1115
 
8.8%
대 1066
 
8.4%
시 1021
 
8.1%
광 1017
 
8.0%
역 1017
 
8.0%
지 816
 
6.4%
번 787
 
6.2%
북 354
 
2.8%
서 316
 
2.5%
Other values (156) 3212
25.4%

도로명전체주소
Text

MISSING 

Distinct870
Distinct (%)89.4%
Missing47
Missing (%)4.6%
Memory size8.1 KiB
2024-04-18T13:19:16.097709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length45
Mean length25.427544
Min length19

Characters and Unicode

Total characters24741
Distinct characters237
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

Unique791 ?
Unique (%)81.3%

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 973
 
19.2%
북구 352
 
6.9%
동구 151
 
3.0%
달서구 125
 
2.5%
서구 121
 
2.4%
달성군 118
 
2.3%
1층 78
 
1.5%
수성구 57
 
1.1%
남구 38
 
0.7%
중리동 30
 
0.6%
Other values (1173) 3035
59.8%
2024-04-18T13:19:16.586919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4105
 
16.6%
구 1919
 
7.8%
동 1168
 
4.7%
대 1099
 
4.4%
1 1003
 
4.1%
시 1000
 
4.0%
역 981
 
4.0%
광 973
 
3.9%
로 869
 
3.5%
( 861
 
3.5%
Other values (227) 10763
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14461
58.4%
Space Separator 4105
 
16.6%
Decimal Number 3880
 
15.7%
Open Punctuation 861
 
3.5%
Close Punctuation 861
 
3.5%
Dash Punctuation 351
 
1.4%
Other Punctuation 199
 
0.8%
Uppercase Letter 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1919
 
13.3%
동 1168
 
8.1%
대 1099
 
7.6%
시 1000
 
6.9%
역 981
 
6.8%
광 973
 
6.7%
로 869
 
6.0%
길 694
 
4.8%
북 415
 
2.9%
서 341
 
2.4%
Other values (208) 5002
34.6%
Decimal Number
ValueCountFrequency (%)
1 1003
25.9%
2 564
14.5%
3 457
11.8%
4 325
 
8.4%
5 322
 
8.3%
6 298
 
7.7%
7 278
 
7.2%
9 220
 
5.7%
0 215
 
5.5%
8 198
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 9
39.1%
A 9
39.1%
C 4
17.4%
D 1
 
4.3%
Space Separator
ValueCountFrequency (%)
4105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 861
100.0%
Close Punctuation
ValueCountFrequency (%)
) 861
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 351
100.0%
Other Punctuation
ValueCountFrequency (%)
, 199
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14461
58.4%
Common 10257
41.5%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1919
 
13.3%
동 1168
 
8.1%
대 1099
 
7.6%
시 1000
 
6.9%
역 981
 
6.8%
광 973
 
6.7%
로 869
 
6.0%
길 694
 
4.8%
북 415
 
2.9%
서 341
 
2.4%
Other values (208) 5002
34.6%
Common
ValueCountFrequency (%)
4105
40.0%
1 1003
 
9.8%
( 861
 
8.4%
) 861
 
8.4%
2 564
 
5.5%
3 457
 
4.5%
- 351
 
3.4%
4 325
 
3.2%
5 322
 
3.1%
6 298
 
2.9%
Other values (5) 1110
 
10.8%
Latin
ValueCountFrequency (%)
B 9
39.1%
A 9
39.1%
C 4
17.4%
D 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14461
58.4%
ASCII 10280
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4105
39.9%
1 1003
 
9.8%
( 861
 
8.4%
) 861
 
8.4%
2 564
 
5.5%
3 457
 
4.4%
- 351
 
3.4%
4 325
 
3.2%
5 322
 
3.1%
6 298
 
2.9%
Other values (9) 1133
 
11.0%
Hangul
ValueCountFrequency (%)
구 1919
 
13.3%
동 1168
 
8.1%
대 1099
 
7.6%
시 1000
 
6.9%
역 981
 
6.8%
광 973
 
6.7%
로 869
 
6.0%
길 694
 
4.8%
북 415
 
2.9%
서 341
 
2.4%
Other values (208) 5002
34.6%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct368
Distinct (%)44.9%
Missing200
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean43507.145
Minimum41000
Maximum704917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2024-04-18T13:19:16.713244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41065
Q141440.75
median41701
Q342628
95-th percentile42972.1
Maximum704917
Range663917
Interquartile range (IQR)1187.25

Descriptive statistics

Standard deviation32678.645
Coefficient of variation (CV)0.75110985
Kurtosis407.17532
Mean43507.145
Median Absolute Deviation (MAD)437
Skewness20.199531
Sum35675859
Variance1.0678938 × 109
MonotonicityNot monotonic
2024-04-18T13:19:16.838225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41755 17
 
1.7%
41582 15
 
1.5%
41412 14
 
1.4%
41485 12
 
1.2%
41139 12
 
1.2%
41418 12
 
1.2%
41419 12
 
1.2%
41472 12
 
1.2%
41490 12
 
1.2%
41056 10
 
1.0%
Other values (358) 692
67.8%
(Missing) 200
 
19.6%
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 3
0.3%
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 1
 
0.1%
43007 3
0.3%
43004 1
 
0.1%
43002 4
0.4%
43000 1
 
0.1%
42996 1
 
0.1%
42993 1
 
0.1%

사업장명
Text

Distinct932
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-04-18T13:19:17.090526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length6.0372549
Min length2

Characters and Unicode

Total characters6158
Distinct characters402
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

Unique849 ?
Unique (%)83.2%

Sample

1st row힘찬한우
2nd row다사랑
3rd row새동산축산
4th row세운축산
5th row해뜰축산
ValueCountFrequency (%)
주식회사 65
 
5.4%
농업회사법인 19
 
1.6%
축산 8
 
0.7%
푸드 5
 
0.4%
sw팜 4
 
0.3%
한우 4
 
0.3%
세운축산 4
 
0.3%
금미식품 4
 
0.3%
대구축산 3
 
0.3%
대호푸드 3
 
0.3%
Other values (977) 1077
90.1%
2024-04-18T13:19:17.484514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 283
 
4.6%
주 262
 
4.3%
축 261
 
4.2%
식 217
 
3.5%
) 205
 
3.3%
( 199
 
3.2%
푸 198
 
3.2%
드 197
 
3.2%
176
 
2.9%
품 143
 
2.3%
Other values (392) 4017
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5414
87.9%
Close Punctuation 205
 
3.3%
Open Punctuation 199
 
3.2%
Space Separator 176
 
2.9%
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 283
 
5.2%
주 262
 
4.8%
축 261
 
4.8%
식 217
 
4.0%
푸 198
 
3.7%
드 197
 
3.6%
품 143
 
2.6%
미 117
 
2.2%
유 115
 
2.1%
사 112
 
2.1%
Other values (353) 3509
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%
f 3
15.8%
p 3
15.8%
a 2
10.5%
c 2
10.5%
d 2
10.5%
n 2
10.5%
y 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 5
35.7%
9 2
 
14.3%
8 2
 
14.3%
6 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 (%)
) 205
100.0%
Open Punctuation
ValueCountFrequency (%)
( 199
100.0%
Space Separator
ValueCountFrequency (%)
176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5414
87.9%
Common 610
 
9.9%
Latin 134
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 283
 
5.2%
주 262
 
4.8%
축 261
 
4.8%
식 217
 
4.0%
푸 198
 
3.7%
드 197
 
3.6%
품 143
 
2.6%
미 117
 
2.2%
유 115
 
2.1%
사 112
 
2.1%
Other values (353) 3509
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 (%)
) 205
33.6%
( 199
32.6%
176
28.9%
& 10
 
1.6%
1 5
 
0.8%
. 5
 
0.8%
9 2
 
0.3%
8 2
 
0.3%
6 2
 
0.3%
＆ 1
 
0.2%
Other values (3) 3
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5414
87.9%
ASCII 743
 
12.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 283
 
5.2%
주 262
 
4.8%
축 261
 
4.8%
식 217
 
4.0%
푸 198
 
3.7%
드 197
 
3.6%
품 143
 
2.6%
미 117
 
2.2%
유 115
 
2.1%
사 112
 
2.1%
Other values (353) 3509
64.8%
ASCII
ValueCountFrequency (%)
) 205
27.6%
( 199
26.8%
176
23.7%
S 19
 
2.6%
F 17
 
2.3%
& 10
 
1.3%
D 9
 
1.2%
C 9
 
1.2%
K 8
 
1.1%
M 7
 
0.9%
Other values (28) 84
11.3%
None
ValueCountFrequency (%)
＆ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1020
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0169576 × 1013
Minimum2.0040908 × 1013
Maximum2.021082 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2024-04-18T13:19:17.613491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040908 × 1013
5-th percentile2.0101197 × 1013
Q12.0150185 × 1013
median2.0180408 × 1013
Q32.0200404 × 1013
95-th percentile2.0210608 × 1013
Maximum2.021082 × 1013
Range1.6991207 × 1011
Interquartile range (IQR)5.0219444 × 1010

Descriptive statistics

Standard deviation3.6217643 × 1010
Coefficient of variation (CV)0.0017956572
Kurtosis0.50588482
Mean2.0169576 × 1013
Median Absolute Deviation (MAD)2.0506528 × 1010
Skewness-0.99942672
Sum2.0572967 × 1016
Variance1.3117177 × 1021
MonotonicityNot monotonic
2024-04-18T13:19:17.761216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170516162403 1
 
0.1%
20190325091206 1
 
0.1%
20191023090317 1
 
0.1%
20210210145449 1
 
0.1%
20201229090617 1
 
0.1%
20191024105209 1
 
0.1%
20210721135618 1
 
0.1%
20210302092000 1
 
0.1%
20191230095420 1
 
0.1%
20190827092026 1
 
0.1%
Other values (1010) 1010
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 (%)
20210820170018 1
0.1%
20210820093542 1
0.1%
20210820093502 1
0.1%
20210817170657 1
0.1%
20210813141102 1
0.1%
20210811162041 1
0.1%
20210810143304 1
0.1%
20210810110211 1
0.1%
20210804101336 1
0.1%
20210803162957 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
I
637 
U
383 

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 637
62.5%
U 383
37.5%

Length

2024-04-18T13:19:17.917410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:19:18.005429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 637
62.5%
u 383
37.5%

데이터갱신일자
Date

Distinct367
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-08-22 02:40:00
2024-04-18T13:19:18.100971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T13:19:18.223856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1020
Missing (%)100.0%
Memory size9.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct844
Distinct (%)83.6%
Missing11
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean342105.69
Minimum326032.48
Maximum358555.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2024-04-18T13:19:18.330018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326032.48
5-th percentile331664.23
Q1338883.89
median341462.3
Q3345374.82
95-th percentile353134.86
Maximum358555.81
Range32523.328
Interquartile range (IQR)6490.9316

Descriptive statistics

Standard deviation5998.5018
Coefficient of variation (CV)0.01753406
Kurtosis0.14091453
Mean342105.69
Median Absolute Deviation (MAD)3221.5259
Skewness0.1786855
Sum3.4518464 × 108
Variance35982024
MonotonicityNot monotonic
2024-04-18T13:19:18.458286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341469.608183 9
 
0.9%
336398.016153 8
 
0.8%
342085.116044 6
 
0.6%
339153.841112 5
 
0.5%
338448.856663 4
 
0.4%
332748.916483 4
 
0.4%
331664.23013 4
 
0.4%
349273.072317 4
 
0.4%
353125.025136 4
 
0.4%
338607.819549 4
 
0.4%
Other values (834) 957
93.8%
(Missing) 11
 
1.1%
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%
328438.966329 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)

MISSING 

Distinct845
Distinct (%)83.7%
Missing11
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean264697.42
Minimum239536.92
Maximum278519.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.1 KiB
2024-04-18T13:19:18.588837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239536.92
5-th percentile255670.05
Q1261445.91
median265317.99
Q3267824
95-th percentile272598.02
Maximum278519.37
Range38982.452
Interquartile range (IQR)6378.0924

Descriptive statistics

Standard deviation5303.8829
Coefficient of variation (CV)0.020037531
Kurtosis1.9235991
Mean264697.42
Median Absolute Deviation (MAD)3170.4017
Skewness-0.93552767
Sum2.670797 × 108
Variance28131174
MonotonicityNot monotonic
2024-04-18T13:19:18.714077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
267369.021973 9
 
0.9%
260311.428495 8
 
0.8%
273124.515307 6
 
0.6%
263450.943634 5
 
0.5%
260590.722889 4
 
0.4%
264078.515685 4
 
0.4%
255844.260349 4
 
0.4%
265327.706893 4
 
0.4%
266813.94199 4
 
0.4%
260650.560724 3
 
0.3%
Other values (835) 958
93.9%
(Missing) 11
 
1.1%
ValueCountFrequency (%)
239536.919741 1
0.1%
242313.644674 1
0.1%
244607.915396 2
0.2%
244644.0 1
0.1%
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 size8.1 KiB
식육포장처리업
1020 

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 1020
100.0%

Length

2024-04-18T13:19:18.857162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:19:18.936276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1020
100.0%

축산물가공업구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
식육포장처리업
1020 

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 1020
100.0%

Length

2024-04-18T13:19:19.023600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:19:19.102581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1020
100.0%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
<NA>
988 
0
 
32

Length

Max length4
Median length4
Mean length3.9058824
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 988
96.9%
0 32
 
3.1%

Length

2024-04-18T13:19:19.196796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:19:19.288022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 988
96.9%
0 32
 
3.1%

권리주체일련번호
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
000
730 
L00
290 

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 (%)
000 730
71.6%
L00 290
 
28.4%

Length

2024-04-18T13:19:19.370738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:19:19.455134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 730
71.6%
l00 290
 
28.4%

총종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
<NA>
988 
0
 
32

Length

Max length4
Median length4
Mean length3.9058824
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 988
96.9%
0 32
 
3.1%

Length

2024-04-18T13:19:19.547633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:19:19.626399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 988
96.9%
0 32
 
3.1%

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>
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