Overview

Dataset statistics

Number of variables33
Number of observations1038
Missing cells6608
Missing cells (%)19.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory288.0 KiB
Average record size in memory284.1 B

Variable types

Numeric12
Categorical13
Unsupported3
Text4
DateTime1

Dataset

Description6270000_대구광역시_07_22_06_P_식육포장처리업_12월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000091868&dataSetDetailId=DDI_0000091924&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
축산업무구분명 has constant value ""Constant
축산물가공업구분명 has constant value ""Constant
상세영업상태코드 is highly imbalanced (51.9%)Imbalance
상세영업상태명 is highly imbalanced (51.9%)Imbalance
휴업종료일자 is highly imbalanced (98.6%)Imbalance
축산일련번호 is highly imbalanced (55.8%)Imbalance
총종업원수 is highly imbalanced (55.8%)Imbalance
인허가취소일자 has 1038 (100.0%) missing valuesMissing
폐업일자 has 617 (59.4%) missing valuesMissing
휴업시작일자 has 1031 (99.3%) missing valuesMissing
재개업일자 has 1028 (99.0%) missing valuesMissing
소재지전화 has 544 (52.4%) missing valuesMissing
소재지우편번호 has 1038 (100.0%) missing valuesMissing
도로명전체주소 has 47 (4.5%) missing valuesMissing
도로명우편번호 has 200 (19.3%) missing valuesMissing
업태구분명 has 1038 (100.0%) missing valuesMissing
좌표정보(X) has 12 (1.2%) missing valuesMissing
좌표정보(Y) has 12 (1.2%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 24.63435281)Skewed
도로명우편번호 is highly skewed (γ1 = 20.42052094)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 619 (59.6%) zerosZeros

Reproduction

Analysis started2023-12-10 20:05:39.624001
Analysis finished2023-12-10 20:05:40.739380
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1038
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean519.5
Minimum1
Maximum1038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T05:05:40.873639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile52.85
Q1260.25
median519.5
Q3778.75
95-th percentile986.15
Maximum1038
Range1037
Interquartile range (IQR)518.5

Descriptive statistics

Standard deviation299.78909
Coefficient of variation (CV)0.57707236
Kurtosis-1.2
Mean519.5
Median Absolute Deviation (MAD)259.5
Skewness0
Sum539241
Variance89873.5
MonotonicityStrictly increasing
2023-12-11T05:05:41.137188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
715 1
 
0.1%
685 1
 
0.1%
686 1
 
0.1%
687 1
 
0.1%
688 1
 
0.1%
689 1
 
0.1%
690 1
 
0.1%
691 1
 
0.1%
692 1
 
0.1%
Other values (1028) 1028
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 (%)
1038 1
0.1%
1037 1
0.1%
1036 1
0.1%
1035 1
0.1%
1034 1
0.1%
1033 1
0.1%
1032 1
0.1%
1031 1
0.1%
1030 1
0.1%
1029 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
식육포장처리업
1038 

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 1038
100.0%

Length

2023-12-11T05:05:41.372058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:05:41.887684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1038
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
07_22_06_P
1038 

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 1038
100.0%

Length

2023-12-11T05:05:42.060813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:05:42.237793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_06_p 1038
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449055.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T05:05:42.375582image/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 deviation19612.317
Coefficient of variation (CV)0.0056862856
Kurtosis-1.0013128
Mean3449055.9
Median Absolute Deviation (MAD)20000
Skewness-0.075996658
Sum3.58012 × 109
Variance3.8464297 × 108
MonotonicityIncreasing
2023-12-11T05:05:42.581239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 360
34.7%
3420000 165
15.9%
3470000 157
15.1%
3430000 122
 
11.8%
3480000 121
 
11.7%
3460000 58
 
5.6%
3440000 42
 
4.0%
3410000 13
 
1.3%
ValueCountFrequency (%)
3410000 13
 
1.3%
3420000 165
15.9%
3430000 122
 
11.8%
3440000 42
 
4.0%
3450000 360
34.7%
3460000 58
 
5.6%
3470000 157
15.1%
3480000 121
 
11.7%
ValueCountFrequency (%)
3480000 121
 
11.7%
3470000 157
15.1%
3460000 58
 
5.6%
3450000 360
34.7%
3440000 42
 
4.0%
3430000 122
 
11.8%
3420000 165
15.9%
3410000 13
 
1.3%

관리번호
Real number (ℝ)

UNIQUE 

Distinct1038
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.449056 × 1017
Minimum3.41 × 1017
Maximum3.4800001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T05:05:42.808880image/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 deviation1.9612316 × 1015
Coefficient of variation (CV)0.0056862852
Kurtosis-1.0013127
Mean3.449056 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.075996255
Sum7.5238714 × 1018
Variance3.8464294 × 1030
MonotonicityNot monotonic
2023-12-11T05:05:43.090236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000010420170002 1
 
0.1%
346000000420050002 1
 
0.1%
345000010420160013 1
 
0.1%
345000010420160014 1
 
0.1%
345000010420160018 1
 
0.1%
345000010420160025 1
 
0.1%
345000010420170001 1
 
0.1%
345000010420170003 1
 
0.1%
345000010420170005 1
 
0.1%
345000010420170011 1
 
0.1%
Other values (1028) 1028
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 (%)
348000010420210010 1
0.1%
348000010420210009 1
0.1%
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%

인허가일자
Real number (ℝ)

Distinct887
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20133341
Minimum19870213
Maximum20211217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T05:05:43.359692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19870213
5-th percentile20031206
Q120110404
median20140626
Q320171083
95-th percentile20201022
Maximum20211217
Range341004
Interquartile range (IQR)60679.25

Descriptive statistics

Standard deviation53275.932
Coefficient of variation (CV)0.0026461545
Kurtosis0.99576617
Mean20133341
Median Absolute Deviation (MAD)30309
Skewness-0.93702478
Sum2.0898408 × 1010
Variance2.8383249 × 109
MonotonicityNot monotonic
2023-12-11T05:05:43.610494image/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%
20150507 3
 
0.3%
20120709 3
 
0.3%
20101115 3
 
0.3%
20050321 3
 
0.3%
20170516 3
 
0.3%
20210607 3
 
0.3%
Other values (877) 1005
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 (%)
20211217 1
0.1%
20211213 1
0.1%
20211208 1
0.1%
20211130 1
0.1%
20211123 1
0.1%
20211118 1
0.1%
20211104 1
0.1%
20211021 1
0.1%
20211020 1
0.1%
20211019 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1038
Missing (%)100.0%
Memory size9.3 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
1
611 
3
407 
4
 
17
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 611
58.9%
3 407
39.2%
4 17
 
1.6%
2 3
 
0.3%

Length

2023-12-11T05:05:43.854521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:05:44.058112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 611
58.9%
3 407
39.2%
4 17
 
1.6%
2 3
 
0.3%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
영업/정상
611 
폐업
407 
취소/말소/만료/정지/중지
 
17
휴업
 
3

Length

Max length14
Median length5
Mean length3.9624277
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 611
58.9%
폐업 407
39.2%
취소/말소/만료/정지/중지 17
 
1.6%
휴업 3
 
0.3%

Length

2023-12-11T05:05:44.310461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:05:44.499621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 611
58.9%
폐업 407
39.2%
취소/말소/만료/정지/중지 17
 
1.6%
휴업 3
 
0.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
0
611 
2
407 
4
 
9
3
 
8
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 611
58.9%
2 407
39.2%
4 9
 
0.9%
3 8
 
0.8%
1 3
 
0.3%

Length

2023-12-11T05:05:44.814008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:05:45.004115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 611
58.9%
2 407
39.2%
4 9
 
0.9%
3 8
 
0.8%
1 3
 
0.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
정상
611 
폐업
407 
말소
 
9
행정처분
 
8
휴업
 
3

Length

Max length4
Median length2
Mean length2.0154143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 611
58.9%
폐업 407
39.2%
말소 9
 
0.9%
행정처분 8
 
0.8%
휴업 3
 
0.3%

Length

2023-12-11T05:05:45.242066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:05:45.487576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 611
58.9%
폐업 407
39.2%
말소 9
 
0.9%
행정처분 8
 
0.8%
휴업 3
 
0.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct382
Distinct (%)90.7%
Missing617
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean20151727
Minimum20040131
Maximum20211231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T05:05:45.741043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040131
5-th percentile20070323
Q120120822
median20151229
Q320190717
95-th percentile20210818
Maximum20211231
Range171100
Interquartile range (IQR)69895

Descriptive statistics

Standard deviation43970.369
Coefficient of variation (CV)0.0021819654
Kurtosis-0.48903981
Mean20151727
Median Absolute Deviation (MAD)38893
Skewness-0.5068565
Sum8.4838769 × 109
Variance1.9333934 × 109
MonotonicityNot monotonic
2023-12-11T05:05:45.980214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211201 3
 
0.3%
20111116 3
 
0.3%
20160120 3
 
0.3%
20210729 3
 
0.3%
20200619 2
 
0.2%
20140317 2
 
0.2%
20140630 2
 
0.2%
20210408 2
 
0.2%
20170612 2
 
0.2%
20200316 2
 
0.2%
Other values (372) 397
38.2%
(Missing) 617
59.4%
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 (%)
20211231 1
 
0.1%
20211230 1
 
0.1%
20211229 1
 
0.1%
20211222 1
 
0.1%
20211217 1
 
0.1%
20211213 1
 
0.1%
20211206 1
 
0.1%
20211201 3
0.3%
20211124 1
 
0.1%
20211123 1
 
0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing1031
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean20157893
Minimum20080502
Maximum20201105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T05:05:46.199086image/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
2023-12-11T05:05:46.380113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20181205 1
 
0.1%
20200305 1
 
0.1%
20201105 1
 
0.1%
20080502 1
 
0.1%
20101224 1
 
0.1%
20180202 1
 
0.1%
20160707 1
 
0.1%
(Missing) 1031
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 size8.2 KiB
<NA>
1036 
20190604
 
1
20170706
 
1

Length

Max length8
Median length4
Mean length4.0077071
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> 1036
99.8%
20190604 1
 
0.1%
20170706 1
 
0.1%

Length

2023-12-11T05:05:46.600324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:05:46.781945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1036
99.8%
20190604 1
 
0.1%
20170706 1
 
0.1%

재개업일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing1028
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean20145835
Minimum20041230
Maximum20200827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T05:05:46.933051image/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
2023-12-11T05:05:47.152134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20200827 1
 
0.1%
20190212 1
 
0.1%
20171201 1
 
0.1%
20181203 1
 
0.1%
20050321 1
 
0.1%
20041230 1
 
0.1%
20161104 1
 
0.1%
20190321 1
 
0.1%
20111028 1
 
0.1%
20160907 1
 
0.1%
(Missing) 1028
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 

Distinct470
Distinct (%)95.1%
Missing544
Missing (%)52.4%
Memory size8.2 KiB
2023-12-11T05:05:47.599332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length8
Mean length9.8927126
Min length5

Characters and Unicode

Total characters4887
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

Unique449 ?
Unique (%)90.9%

Sample

1st row070-4184-4932
2nd row252-2890
3rd row053-254-2226
4th row261-5500
5th row427-8885
ValueCountFrequency (%)
053-381-3834 4
 
0.8%
565-9998 3
 
0.6%
762-0775 2
 
0.4%
743-7711 2
 
0.4%
554-5544 2
 
0.4%
768-4910 2
 
0.4%
763-8397 2
 
0.4%
939-7765 2
 
0.4%
742-7517 2
 
0.4%
053-959-7883 2
 
0.4%
Other values (460) 471
95.3%
2023-12-11T05:05:48.327109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 737
15.1%
- 672
13.8%
3 638
13.1%
0 507
10.4%
6 400
8.2%
2 385
7.9%
8 335
6.9%
9 323
6.6%
1 314
6.4%
4 288
 
5.9%
Other values (3) 288
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4211
86.2%
Dash Punctuation 672
 
13.8%
Other Punctuation 3
 
0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 737
17.5%
3 638
15.2%
0 507
12.0%
6 400
9.5%
2 385
9.1%
8 335
8.0%
9 323
7.7%
1 314
7.5%
4 288
 
6.8%
7 284
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 672
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4887
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 737
15.1%
- 672
13.8%
3 638
13.1%
0 507
10.4%
6 400
8.2%
2 385
7.9%
8 335
6.9%
9 323
6.6%
1 314
6.4%
4 288
 
5.9%
Other values (3) 288
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4887
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 737
15.1%
- 672
13.8%
3 638
13.1%
0 507
10.4%
6 400
8.2%
2 385
7.9%
8 335
6.9%
9 323
6.6%
1 314
6.4%
4 288
 
5.9%
Other values (3) 288
 
5.9%

소재지면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct381
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean258.52818
Minimum0
Maximum37289
Zeros619
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T05:05:48.587588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3239.595
95-th percentile1098.5
Maximum37289
Range37289
Interquartile range (IQR)239.595

Descriptive statistics

Standard deviation1264.2058
Coefficient of variation (CV)4.8900117
Kurtosis712.18069
Mean258.52818
Median Absolute Deviation (MAD)0
Skewness24.634353
Sum268352.25
Variance1598216.4
MonotonicityNot monotonic
2023-12-11T05:05:48.832279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 619
59.6%
583.0 3
 
0.3%
211.0 3
 
0.3%
331.0 3
 
0.3%
708.0 3
 
0.3%
253.8 2
 
0.2%
219.0 2
 
0.2%
232.0 2
 
0.2%
261.6 2
 
0.2%
1653.0 2
 
0.2%
Other values (371) 397
38.2%
ValueCountFrequency (%)
0.0 619
59.6%
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 

Missing1038
Missing (%)100.0%
Memory size9.3 KiB

소재지전체주소
Text

Distinct937
Distinct (%)90.5%
Missing3
Missing (%)0.3%
Memory size8.2 KiB
2023-12-11T05:05:49.357652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length38
Mean length21.910145
Min length12

Characters and Unicode

Total characters22677
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

Unique856 ?
Unique (%)82.7%

Sample

1st row대구광역시 중구 대신동 178-8
2nd row대구광역시 중구 동인동3가 182번지
3rd row대구광역시 중구 동인동3가 261-5
4th row대구광역시 중구 대봉동 721-16
5th row대구광역시 중구 동인동3가 394-1
ValueCountFrequency (%)
대구광역시 1035
23.6%
북구 359
 
8.2%
동구 165
 
3.8%
달서구 156
 
3.6%
달성군 121
 
2.8%
서구 121
 
2.8%
수성구 58
 
1.3%
남구 42
 
1.0%
노원동3가 33
 
0.8%
산격동 32
 
0.7%
Other values (1102) 2265
51.6%
2023-12-11T05:05:49.962675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4373
19.3%
구 1979
 
8.7%
동 1139
 
5.0%
대 1085
 
4.8%
1 1078
 
4.8%
시 1039
 
4.6%
광 1035
 
4.6%
역 1035
 
4.6%
- 828
 
3.7%
지 787
 
3.5%
Other values (174) 8299
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12803
56.5%
Decimal Number 4631
 
20.4%
Space Separator 4373
 
19.3%
Dash Punctuation 828
 
3.7%
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 1979
15.5%
동 1139
 
8.9%
대 1085
 
8.5%
시 1039
 
8.1%
광 1035
 
8.1%
역 1035
 
8.1%
지 787
 
6.1%
번 758
 
5.9%
북 359
 
2.8%
서 321
 
2.5%
Other values (156) 3266
25.5%
Decimal Number
ValueCountFrequency (%)
1 1078
23.3%
2 575
12.4%
3 471
10.2%
4 380
 
8.2%
7 378
 
8.2%
0 372
 
8.0%
6 368
 
7.9%
5 362
 
7.8%
8 335
 
7.2%
9 312
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
A 6
40.0%
B 6
40.0%
C 3
20.0%
Space Separator
ValueCountFrequency (%)
4373
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 828
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 12803
56.5%
Common 9859
43.5%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1979
15.5%
동 1139
 
8.9%
대 1085
 
8.5%
시 1039
 
8.1%
광 1035
 
8.1%
역 1035
 
8.1%
지 787
 
6.1%
번 758
 
5.9%
북 359
 
2.8%
서 321
 
2.5%
Other values (156) 3266
25.5%
Common
ValueCountFrequency (%)
4373
44.4%
1 1078
 
10.9%
- 828
 
8.4%
2 575
 
5.8%
3 471
 
4.8%
4 380
 
3.9%
7 378
 
3.8%
0 372
 
3.8%
6 368
 
3.7%
5 362
 
3.7%
Other values (5) 674
 
6.8%
Latin
ValueCountFrequency (%)
A 6
40.0%
B 6
40.0%
C 3
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12803
56.5%
ASCII 9874
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4373
44.3%
1 1078
 
10.9%
- 828
 
8.4%
2 575
 
5.8%
3 471
 
4.8%
4 380
 
3.8%
7 378
 
3.8%
0 372
 
3.8%
6 368
 
3.7%
5 362
 
3.7%
Other values (8) 689
 
7.0%
Hangul
ValueCountFrequency (%)
구 1979
15.5%
동 1139
 
8.9%
대 1085
 
8.5%
시 1039
 
8.1%
광 1035
 
8.1%
역 1035
 
8.1%
지 787
 
6.1%
번 758
 
5.9%
북 359
 
2.8%
서 321
 
2.5%
Other values (156) 3266
25.5%

도로명전체주소
Text

MISSING 

Distinct889
Distinct (%)89.7%
Missing47
Missing (%)4.5%
Memory size8.2 KiB
2023-12-11T05:05:50.464206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length45
Mean length25.419778
Min length19

Characters and Unicode

Total characters25191
Distinct characters239
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

Unique810 ?
Unique (%)81.7%

Sample

1st row대구광역시 중구 달성공원로 8 (대신동)
2nd row대구광역시 중구 국채보상로143길 37-2 (동인동3가)
3rd row대구광역시 중구 동덕로38길 39 (동인동3가)
4th row대구광역시 중구 명륜로 140 (대봉동)
5th row대구광역시 중구 태평로51길 75 (동인동3가)
ValueCountFrequency (%)
대구광역시 991
 
19.2%
북구 357
 
6.9%
동구 156
 
3.0%
달서구 129
 
2.5%
서구 122
 
2.4%
달성군 120
 
2.3%
1층 84
 
1.6%
수성구 58
 
1.1%
남구 38
 
0.7%
중리동 30
 
0.6%
Other values (1198) 3077
59.6%
2023-12-11T05:05:51.205326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4171
 
16.6%
구 1954
 
7.8%
동 1193
 
4.7%
대 1118
 
4.4%
1 1033
 
4.1%
시 1019
 
4.0%
역 999
 
4.0%
광 991
 
3.9%
로 886
 
3.5%
( 877
 
3.5%
Other values (229) 10950
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14731
58.5%
Space Separator 4171
 
16.6%
Decimal Number 3952
 
15.7%
Open Punctuation 877
 
3.5%
Close Punctuation 877
 
3.5%
Dash Punctuation 355
 
1.4%
Other Punctuation 205
 
0.8%
Uppercase Letter 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1954
 
13.3%
동 1193
 
8.1%
대 1118
 
7.6%
시 1019
 
6.9%
역 999
 
6.8%
광 991
 
6.7%
로 886
 
6.0%
길 704
 
4.8%
북 421
 
2.9%
서 348
 
2.4%
Other values (210) 5098
34.6%
Decimal Number
ValueCountFrequency (%)
1 1033
26.1%
2 578
14.6%
3 464
11.7%
4 331
 
8.4%
5 323
 
8.2%
6 301
 
7.6%
7 281
 
7.1%
9 224
 
5.7%
0 216
 
5.5%
8 201
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
A 9
39.1%
B 9
39.1%
C 4
17.4%
D 1
 
4.3%
Space Separator
ValueCountFrequency (%)
4171
100.0%
Open Punctuation
ValueCountFrequency (%)
( 877
100.0%
Close Punctuation
ValueCountFrequency (%)
) 877
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 355
100.0%
Other Punctuation
ValueCountFrequency (%)
, 205
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14731
58.5%
Common 10437
41.4%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1954
 
13.3%
동 1193
 
8.1%
대 1118
 
7.6%
시 1019
 
6.9%
역 999
 
6.8%
광 991
 
6.7%
로 886
 
6.0%
길 704
 
4.8%
북 421
 
2.9%
서 348
 
2.4%
Other values (210) 5098
34.6%
Common
ValueCountFrequency (%)
4171
40.0%
1 1033
 
9.9%
( 877
 
8.4%
) 877
 
8.4%
2 578
 
5.5%
3 464
 
4.4%
- 355
 
3.4%
4 331
 
3.2%
5 323
 
3.1%
6 301
 
2.9%
Other values (5) 1127
 
10.8%
Latin
ValueCountFrequency (%)
A 9
39.1%
B 9
39.1%
C 4
17.4%
D 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14731
58.5%
ASCII 10460
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4171
39.9%
1 1033
 
9.9%
( 877
 
8.4%
) 877
 
8.4%
2 578
 
5.5%
3 464
 
4.4%
- 355
 
3.4%
4 331
 
3.2%
5 323
 
3.1%
6 301
 
2.9%
Other values (9) 1150
 
11.0%
Hangul
ValueCountFrequency (%)
구 1954
 
13.3%
동 1193
 
8.1%
대 1118
 
7.6%
시 1019
 
6.9%
역 999
 
6.8%
광 991
 
6.7%
로 886
 
6.0%
길 704
 
4.8%
북 421
 
2.9%
서 348
 
2.4%
Other values (210) 5098
34.6%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct372
Distinct (%)44.4%
Missing200
Missing (%)19.3%
Infinite0
Infinite (%)0.0%
Mean43472.446
Minimum41000
Maximum704917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T05:05:51.406729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41065
Q141440.25
median41701
Q342631
95-th percentile42972
Maximum704917
Range663917
Interquartile range (IQR)1190.75

Descriptive statistics

Standard deviation32326.37
Coefficient of variation (CV)0.74360595
Kurtosis416.15992
Mean43472.446
Median Absolute Deviation (MAD)443
Skewness20.420521
Sum36429910
Variance1.0449942 × 109
MonotonicityNot monotonic
2023-12-11T05:05:51.621762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41755 17
 
1.6%
41582 15
 
1.4%
41412 13
 
1.3%
41419 12
 
1.2%
41485 12
 
1.2%
41490 12
 
1.2%
41472 12
 
1.2%
41418 12
 
1.2%
41139 12
 
1.2%
42969 10
 
1.0%
Other values (362) 711
68.5%
(Missing) 200
 
19.3%
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

Distinct946
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2023-12-11T05:05:52.033934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length6.0433526
Min length2

Characters and Unicode

Total characters6273
Distinct characters409
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

Unique859 ?
Unique (%)82.8%

Sample

1st row(주)유유축산
2nd row동인미트
3rd row조타푸드
4th row예실축산물센터
5th row주식회사 정인엘에프 제조공장
ValueCountFrequency (%)
주식회사 67
 
5.5%
농업회사법인 20
 
1.6%
축산 8
 
0.7%
푸드 5
 
0.4%
금미식품 4
 
0.3%
한우 4
 
0.3%
sw팜 4
 
0.3%
고기공장 4
 
0.3%
세운축산 4
 
0.3%
주)맛찬들 3
 
0.2%
Other values (993) 1098
89.9%
2023-12-11T05:05:52.666379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 288
 
4.6%
주 268
 
4.3%
축 266
 
4.2%
식 220
 
3.5%
) 208
 
3.3%
드 202
 
3.2%
푸 202
 
3.2%
( 201
 
3.2%
183
 
2.9%
품 144
 
2.3%
Other values (399) 4091
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5519
88.0%
Close Punctuation 208
 
3.3%
Open Punctuation 201
 
3.2%
Space Separator 183
 
2.9%
Uppercase Letter 113
 
1.8%
Lowercase Letter 19
 
0.3%
Other Punctuation 16
 
0.3%
Decimal Number 14
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 288
 
5.2%
주 268
 
4.9%
축 266
 
4.8%
식 220
 
4.0%
드 202
 
3.7%
푸 202
 
3.7%
품 144
 
2.6%
미 117
 
2.1%
유 116
 
2.1%
사 116
 
2.1%
Other values (360) 3580
64.9%
Uppercase Letter
ValueCountFrequency (%)
S 19
16.8%
F 17
15.0%
D 9
8.0%
C 9
8.0%
K 7
 
6.2%
M 7
 
6.2%
B 6
 
5.3%
H 6
 
5.3%
G 6
 
5.3%
O 5
 
4.4%
Other values (8) 22
19.5%
Lowercase Letter
ValueCountFrequency (%)
o 4
21.1%
p 3
15.8%
f 3
15.8%
a 2
10.5%
c 2
10.5%
n 2
10.5%
d 2
10.5%
y 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 5
35.7%
9 2
 
14.3%
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 (%)
) 208
100.0%
Open Punctuation
ValueCountFrequency (%)
( 201
100.0%
Space Separator
ValueCountFrequency (%)
183
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5519
88.0%
Common 622
 
9.9%
Latin 132
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 288
 
5.2%
주 268
 
4.9%
축 266
 
4.8%
식 220
 
4.0%
드 202
 
3.7%
푸 202
 
3.7%
품 144
 
2.6%
미 117
 
2.1%
유 116
 
2.1%
사 116
 
2.1%
Other values (360) 3580
64.9%
Latin
ValueCountFrequency (%)
S 19
14.4%
F 17
12.9%
D 9
 
6.8%
C 9
 
6.8%
K 7
 
5.3%
M 7
 
5.3%
B 6
 
4.5%
H 6
 
4.5%
G 6
 
4.5%
O 5
 
3.8%
Other values (16) 41
31.1%
Common
ValueCountFrequency (%)
) 208
33.4%
( 201
32.3%
183
29.4%
& 10
 
1.6%
. 5
 
0.8%
1 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 5519
88.0%
ASCII 753
 
12.0%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 288
 
5.2%
주 268
 
4.9%
축 266
 
4.8%
식 220
 
4.0%
드 202
 
3.7%
푸 202
 
3.7%
품 144
 
2.6%
미 117
 
2.1%
유 116
 
2.1%
사 116
 
2.1%
Other values (360) 3580
64.9%
ASCII
ValueCountFrequency (%)
) 208
27.6%
( 201
26.7%
183
24.3%
S 19
 
2.5%
F 17
 
2.3%
& 10
 
1.3%
D 9
 
1.2%
C 9
 
1.2%
K 7
 
0.9%
M 7
 
0.9%
Other values (28) 83
 
11.0%
None
ValueCountFrequency (%)
＆ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1038
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0171366 × 1013
Minimum2.0040908 × 1013
Maximum2.0211231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T05:05:52.862165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040908 × 1013
5-th percentile2.0101206 × 1013
Q12.015042 × 1013
median2.0180804 × 1013
Q32.0200719 × 1013
95-th percentile2.0211019 × 1013
Maximum2.0211231 × 1013
Range1.7032305 × 1011
Interquartile range (IQR)5.0298175 × 1010

Descriptive statistics

Standard deviation3.680834 × 1010
Coefficient of variation (CV)0.0018247817
Kurtosis0.48577196
Mean2.0171366 × 1013
Median Absolute Deviation (MAD)2.0584495 × 1010
Skewness-1.0101994
Sum2.0937878 × 1016
Variance1.3548539 × 1021
MonotonicityNot monotonic
2023-12-11T05:05:53.109844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210714162247 1
 
0.1%
20210309164156 1
 
0.1%
20180123123559 1
 
0.1%
20200727160400 1
 
0.1%
20161114150917 1
 
0.1%
20180319142143 1
 
0.1%
20200701091749 1
 
0.1%
20180131165247 1
 
0.1%
20190131100645 1
 
0.1%
20171026231305 1
 
0.1%
Other values (1028) 1028
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 (%)
20211231153957 1
0.1%
20211230152455 1
0.1%
20211230145624 1
0.1%
20211230145456 1
0.1%
20211229171754 1
0.1%
20211229130006 1
0.1%
20211222165737 1
0.1%
20211222100906 1
0.1%
20211221114345 1
0.1%
20211221105110 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
I
627 
U
411 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 627
60.4%
U 411
39.6%

Length

2023-12-11T05:05:53.316652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:05:53.458554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 627
60.4%
u 411
39.6%

데이터갱신일자
Date

Distinct396
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-01-02 02:40:00
2023-12-11T05:05:53.989989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:05:54.224658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1038
Missing (%)100.0%
Memory size9.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct857
Distinct (%)83.5%
Missing12
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean342115.82
Minimum326032.48
Maximum358555.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T05:05:54.428102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326032.48
5-th percentile331664.23
Q1338877.05
median341461.69
Q3345374.82
95-th percentile353146.04
Maximum358555.81
Range32523.328
Interquartile range (IQR)6497.7725

Descriptive statistics

Standard deviation6023.1229
Coefficient of variation (CV)0.017605508
Kurtosis0.12514603
Mean342115.82
Median Absolute Deviation (MAD)3230.4823
Skewness0.18880881
Sum3.5101083 × 108
Variance36278009
MonotonicityNot monotonic
2023-12-11T05:05:54.666982image/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%
331664.23013 4
 
0.4%
349273.072317 4
 
0.4%
332748.916483 4
 
0.4%
353125.025136 4
 
0.4%
338607.819549 4
 
0.4%
338448.856663 4
 
0.4%
Other values (847) 974
93.8%
(Missing) 12
 
1.2%
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 

Distinct858
Distinct (%)83.6%
Missing12
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean264690.35
Minimum239536.92
Maximum278519.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-11T05:05:54.947036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum239536.92
5-th percentile255697.32
Q1261447.8
median265315.14
Q3267815.77
95-th percentile272606.52
Maximum278519.37
Range38982.452
Interquartile range (IQR)6367.9712

Descriptive statistics

Standard deviation5295.0795
Coefficient of variation (CV)0.020004807
Kurtosis1.897014
Mean264690.35
Median Absolute Deviation (MAD)3143.3316
Skewness-0.92409601
Sum2.715723 × 108
Variance28037867
MonotonicityNot monotonic
2023-12-11T05:05:55.241396image/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%
266813.94199 4
 
0.4%
265327.706893 4
 
0.4%
255844.260349 4
 
0.4%
260590.722889 4
 
0.4%
264078.515685 4
 
0.4%
266136.735013 3
 
0.3%
Other values (848) 975
93.9%
(Missing) 12
 
1.2%
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%
274459.574413 1
0.1%
274413.392823 1
0.1%
273994.885719 1
0.1%
273806.472555 1
0.1%
273672.145236 1
0.1%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
식육포장처리업
1038 

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 1038
100.0%

Length

2023-12-11T05:05:55.529988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:05:55.671710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1038
100.0%

축산물가공업구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
식육포장처리업
1038 

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 1038
100.0%

Length

2023-12-11T05:05:55.928060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:05:56.086323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 1038
100.0%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
<NA>
943 
0
95 

Length

Max length4
Median length4
Mean length3.7254335
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 943
90.8%
0 95
 
9.2%

Length

2023-12-11T05:05:56.242927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:05:56.397751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 943
90.8%
0 95
 
9.2%

권리주체일련번호
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
000
741 
L00
297 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 741
71.4%
L00 297
28.6%

Length

2023-12-11T05:05:56.556072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:05:56.729530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 741
71.4%
l00 297
28.6%

총종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
<NA>
943 
0
95 

Length

Max length4
Median length4
Mean length3.7254335
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 943
90.8%
0 95
 
9.2%

Length

2023-12-11T05:05:56.925513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:05:57.083359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 943
90.8%
0 95
 
9.2%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
01식육포장처리업07_22_06_P341000034100001042017000220171017<NA>1영업/정상0정상<NA><NA><NA><NA>070-4184-49320.0<NA>대구광역시 중구 대신동 178-8대구광역시 중구 달성공원로 8 (대신동)41925(주)유유축산20210714162247U2021-07-16 02:40:00.0<NA>342589.138332264598.759595식육포장처리업식육포장처리업0L000
12식육포장처리업07_22_06_P341000034100001042018000120180102<NA>1영업/정상0정상<NA><NA><NA><NA>252-2890191.43<NA>대구광역시 중구 동인동3가 182번지대구광역시 중구 국채보상로143길 37-2 (동인동3가)41908동인미트20180611110344I2018-08-31 23:59:59.0<NA>345198.73709264578.193977식육포장처리업식육포장처리업<NA>000<NA>
23식육포장처리업07_22_06_P341000034100001042016000120160112<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 중구 동인동3가 261-5대구광역시 중구 동덕로38길 39 (동인동3가)41905조타푸드20210714162037U2021-07-16 02:40:00.0<NA>345034.634795264652.456073식육포장처리업식육포장처리업00000
34식육포장처리업07_22_06_P341000034100001042018000220181116<NA>1영업/정상0정상<NA><NA><NA><NA>053-254-22260.0<NA>대구광역시 중구 대봉동 721-16대구광역시 중구 명륜로 140 (대봉동)41955예실축산물센터20210714162336U2021-07-16 02:40:00.0<NA>344406.089277263389.030425식육포장처리업식육포장처리업00000
45식육포장처리업07_22_06_P341000034100001042020000120201125<NA>1영업/정상0정상<NA><NA><NA><NA>261-55000.0<NA>대구광역시 중구 동인동3가 394-1대구광역시 중구 태평로51길 75 (동인동3가)41904주식회사 정인엘에프 제조공장20210714162421U2021-07-16 02:40:00.0<NA>345240.304392264951.792224식육포장처리업식육포장처리업0L000
56식육포장처리업07_22_06_P341000034100001042012000120121129<NA>3폐업2폐업20200629<NA><NA><NA>427-88850.0<NA>대구광역시 중구 남성로 30 1층대구광역시 중구 남성로 7-1, 1층 (남성로)41934(주)강산티앤에프20200629163449U2020-07-01 02:40:00.0<NA>343434.524281264685.6414식육포장처리업식육포장처리업<NA>L00<NA>
67식육포장처리업07_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>
78식육포장처리업07_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>
89식육포장처리업07_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>
910식육포장처리업07_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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
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10291030식육포장처리업07_22_06_P348000034800001042013000820131213<NA>1영업/정상0정상<NA><NA><NA><NA>070-8846-15880.0<NA>대구광역시 달성군 논공읍 상리 759번지 B동대구광역시 달성군 논공읍 비슬로264길 63, B동42976에스미트20160108164630I2018-08-31 23:59:59.0<NA>327472.663129250976.544202식육포장처리업식육포장처리업<NA>000<NA>
10301031식육포장처리업07_22_06_P348000034800001042014000320140714<NA>1영업/정상0정상<NA><NA><NA><NA><NA>3240.0<NA>대구광역시 달성군 논공읍 본리리 1189-9대구광역시 달성군 논공읍 논공중앙로45길 3942981창대푸드20210125160754U2021-01-27 02:40:00.0<NA>331594.444592249352.494557식육포장처리업식육포장처리업<NA>000<NA>
10311032식육포장처리업07_22_06_P348000034800001042014000420140714<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 달성군 옥포읍 본리리 2617-1번지대구광역시 달성군 옥포읍 비슬로447길 25-2042971(주)씨엘미트20190621150358U2019-06-23 02:40:00.0<NA>332512.927774256100.89667식육포장처리업식육포장처리업<NA>L00<NA>
10321033식육포장처리업07_22_06_P348000034800001042014000520140904<NA>1영업/정상0정상<NA><NA><NA><NA>053-615-74611682.0<NA>대구광역시 달성군 논공읍 노이리 1099번지대구광역시 달성군 논공읍 노이4길 742975아성식품20140904101848I2018-08-31 23:59:59.0<NA>329762.763974251973.732765식육포장처리업식육포장처리업<NA>000<NA>
10331034식육포장처리업07_22_06_P348000034800001042014000620140929<NA>1영업/정상0정상<NA><NA><NA><NA><NA>1861.2<NA>대구광역시 달성군 논공읍 금포리 952대구광역시 달성군 논공읍 농공공단길 1042968(주)달구지푸드20211105105001U2021-11-07 02:40:00.0<NA>329081.425721254196.130171식육포장처리업식육포장처리업0L000
10341035식육포장처리업07_22_06_P348000034800001042014000720141021<NA>1영업/정상0정상<NA><NA><NA><NA>053-616-99352450.0<NA>대구광역시 달성군 현풍읍 원교리 1078-6번지대구광역시 달성군 현풍읍 비슬로 63143002주식회사 세움식품20200323091759U2020-03-25 02:40:00.0<NA>330107.385344244607.915396식육포장처리업식육포장처리업<NA>L00<NA>
10351036식육포장처리업07_22_06_P348000034800001042015000120150128<NA>1영업/정상0정상<NA><NA><NA><NA>616-96963017.0<NA>대구광역시 달성군 논공읍 금포리 1725번지대구광역시 달성군 논공읍 노이2길 48-1342975(주)농업회사법인 달성축산20170207185229I2018-08-31 23:59:59.0<NA>328604.155964252902.187935식육포장처리업식육포장처리업<NA>L00<NA>
10361037식육포장처리업07_22_06_P348000034800001042015000320150602<NA>1영업/정상0정상<NA><NA><NA><NA><NA>1429.0<NA>대구광역시 달성군 논공읍 노이리 750-2대구광역시 달성군 논공읍 노이길 353-542975주식회사 본가유통20210104104529U2021-01-06 02:40:00.0<NA>330941.670273251566.667044식육포장처리업식육포장처리업<NA>L00<NA>
10371038식육포장처리업07_22_06_P348000034800001042015000520150629<NA>1영업/정상0정상<NA><NA><NA><NA><NA>1516.0<NA>대구광역시 달성군 논공읍 노이리 552번지대구광역시 달성군 논공읍 노이6길 2542975만복축산20150831133253I2018-08-31 23:59:59.0<NA>331284.602415251698.893193식육포장처리업식육포장처리업<NA>000<NA>