Overview

Dataset statistics

Number of variables33
Number of observations155
Missing cells1360
Missing cells (%)26.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.3 KiB
Average record size in memory285.9 B

Variable types

Numeric10
Categorical13
Unsupported6
Text3
DateTime1

Dataset

Description6270000_대구광역시_02_04_05_P_사료제조업_5월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000085294&dataSetDetailId=DDI_0000085319&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
개방자치단체코드 has constant value ""Constant
축산업무구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (94.4%)Imbalance
권리주체일련번호 is highly imbalanced (52.1%)Imbalance
인허가취소일자 has 155 (100.0%) missing valuesMissing
폐업일자 has 118 (76.1%) missing valuesMissing
휴업종료일자 has 155 (100.0%) missing valuesMissing
재개업일자 has 155 (100.0%) missing valuesMissing
소재지전화 has 98 (63.2%) missing valuesMissing
소재지우편번호 has 141 (91.0%) missing valuesMissing
도로명전체주소 has 2 (1.3%) missing valuesMissing
도로명우편번호 has 61 (39.4%) missing valuesMissing
좌표정보(X) has 5 (3.2%) missing valuesMissing
좌표정보(Y) has 5 (3.2%) missing valuesMissing
축산물가공업구분명 has 155 (100.0%) missing valuesMissing
축산일련번호 has 155 (100.0%) missing valuesMissing
총종업원수 has 155 (100.0%) missing valuesMissing
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
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산물가공업구분명 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

Reproduction

Analysis started2023-12-10 20:09:11.683554
Analysis finished2023-12-10 20:09:12.481616
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78
Minimum1
Maximum155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T05:09:12.620294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.7
Q139.5
median78
Q3116.5
95-th percentile147.3
Maximum155
Range154
Interquartile range (IQR)77

Descriptive statistics

Standard deviation44.888751
Coefficient of variation (CV)0.57549681
Kurtosis-1.2
Mean78
Median Absolute Deviation (MAD)39
Skewness0
Sum12090
Variance2015
MonotonicityStrictly increasing
2023-12-11T05:09:12.898077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
108 1
 
0.6%
101 1
 
0.6%
102 1
 
0.6%
103 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
109 1
 
0.6%
Other values (145) 145
93.5%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
155 1
0.6%
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%
149 1
0.6%
148 1
0.6%
147 1
0.6%
146 1
0.6%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
사료제조업
155 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사료제조업 155
100.0%

Length

2023-12-11T05:09:13.109538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:09:13.265210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 155
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
02_04_05_P
155 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02_04_05_P
2nd row02_04_05_P
3rd row02_04_05_P
4th row02_04_05_P
5th row02_04_05_P

Common Values

ValueCountFrequency (%)
02_04_05_P 155
100.0%

Length

2023-12-11T05:09:13.439420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:09:13.617199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02_04_05_p 155
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
6270000
155 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6270000
2nd row6270000
3rd row6270000
4th row6270000
5th row6270000

Common Values

ValueCountFrequency (%)
6270000 155
100.0%

Length

2023-12-11T05:09:13.786502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:09:13.945100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6270000 155
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2700005 × 1017
Minimum6.2700005 × 1017
Maximum6.2700005 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T05:09:14.139432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.2700005 × 1017
5-th percentile6.2700005 × 1017
Q16.2700005 × 1017
median6.2700005 × 1017
Q36.2700005 × 1017
95-th percentile6.2700005 × 1017
Maximum6.2700005 × 1017
Range250008
Interquartile range (IQR)59904

Descriptive statistics

Standard deviation50882.479
Coefficient of variation (CV)8.1152273 × 10-14
Kurtosis3.0853993
Mean6.2700005 × 1017
Median Absolute Deviation (MAD)29952
Skewness-1.6890786
Sum4.9512874 × 1018
Variance2.5890267 × 109
MonotonicityNot monotonic
2023-12-11T05:09:14.397142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
627000050220200003 1
 
0.6%
627000050220180015 1
 
0.6%
627000050220140001 1
 
0.6%
627000050220130013 1
 
0.6%
627000050220130011 1
 
0.6%
627000050220130009 1
 
0.6%
627000050220130007 1
 
0.6%
627000050220130004 1
 
0.6%
627000050220180016 1
 
0.6%
627000050220180012 1
 
0.6%
Other values (145) 145
93.5%
ValueCountFrequency (%)
627000050219950001 1
0.6%
627000050219960001 1
0.6%
627000050219960002 1
0.6%
627000050219990001 1
0.6%
627000050220030001 1
0.6%
627000050220030002 1
0.6%
627000050220050001 1
0.6%
627000050220050002 1
0.6%
627000050220060001 1
0.6%
627000050220060002 1
0.6%
ValueCountFrequency (%)
627000050220200009 1
0.6%
627000050220200008 1
0.6%
627000050220200007 1
0.6%
627000050220200006 1
0.6%
627000050220200005 1
0.6%
627000050220200004 1
0.6%
627000050220200003 1
0.6%
627000050220200002 1
0.6%
627000050220200001 1
0.6%
627000050220190034 1
0.6%

인허가일자
Real number (ℝ)

Distinct142
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20149378
Minimum19950309
Maximum20200519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T05:09:14.626305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950309
5-th percentile20057591
Q120130572
median20161220
Q320190316
95-th percentile20200111
Maximum20200519
Range250210
Interquartile range (IQR)59744

Descriptive statistics

Standard deviation50878.012
Coefficient of variation (CV)0.0025250413
Kurtosis3.1178424
Mean20149378
Median Absolute Deviation (MAD)29310
Skewness-1.6991721
Sum3.1231535 × 109
Variance2.5885721 × 109
MonotonicityNot monotonic
2023-12-11T05:09:14.881975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191122 3
 
1.9%
20190704 2
 
1.3%
20191025 2
 
1.3%
20180523 2
 
1.3%
20150703 2
 
1.3%
20180108 2
 
1.3%
20190222 2
 
1.3%
20190729 2
 
1.3%
20190409 2
 
1.3%
20131114 2
 
1.3%
Other values (132) 134
86.5%
ValueCountFrequency (%)
19950309 1
0.6%
19960327 1
0.6%
19960404 1
0.6%
19990908 1
0.6%
20030908 1
0.6%
20031212 1
0.6%
20051111 1
0.6%
20051222 1
0.6%
20060320 1
0.6%
20060726 1
0.6%
ValueCountFrequency (%)
20200519 1
0.6%
20200429 1
0.6%
20200414 1
0.6%
20200304 1
0.6%
20200224 1
0.6%
20200206 1
0.6%
20200204 1
0.6%
20200131 1
0.6%
20200103 1
0.6%
20191223 1
0.6%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1
117 
3
37 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 117
75.5%
3 37
 
23.9%
2 1
 
0.6%

Length

2023-12-11T05:09:15.134991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:09:15.676882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 117
75.5%
3 37
 
23.9%
2 1
 
0.6%

영업상태명
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
영업/정상
117 
폐업
37 
휴업
 
1

Length

Max length5
Median length5
Mean length4.2645161
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 117
75.5%
폐업 37
 
23.9%
휴업 1
 
0.6%

Length

2023-12-11T05:09:15.837089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:09:15.977327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 117
75.5%
폐업 37
 
23.9%
휴업 1
 
0.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
117 
2
37 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 117
75.5%
2 37
 
23.9%
1 1
 
0.6%

Length

2023-12-11T05:09:16.140760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:09:16.307959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 117
75.5%
2 37
 
23.9%
1 1
 
0.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
정상
117 
폐업
37 
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
정상 117
75.5%
폐업 37
 
23.9%
휴업 1
 
0.6%

Length

2023-12-11T05:09:16.499285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:09:16.853557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 117
75.5%
폐업 37
 
23.9%
휴업 1
 
0.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)81.1%
Missing118
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean20162806
Minimum20100723
Maximum20200529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T05:09:17.304089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100723
5-th percentile20118603
Q120141015
median20160122
Q320200113
95-th percentile20200502
Maximum20200529
Range99806
Interquartile range (IQR)59098

Descriptive statistics

Standard deviation31422.164
Coefficient of variation (CV)0.0015584222
Kurtosis-1.3583505
Mean20162806
Median Absolute Deviation (MAD)29692
Skewness-0.12332973
Sum7.4602381 × 108
Variance9.8735237 × 108
MonotonicityNot monotonic
2023-12-11T05:09:17.783641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20141015 5
 
3.2%
20200420 3
 
1.9%
20200316 2
 
1.3%
20200410 1
 
0.6%
20190930 1
 
0.6%
20200113 1
 
0.6%
20110517 1
 
0.6%
20141202 1
 
0.6%
20120625 1
 
0.6%
20150716 1
 
0.6%
Other values (20) 20
 
12.9%
(Missing) 118
76.1%
ValueCountFrequency (%)
20100723 1
 
0.6%
20110517 1
 
0.6%
20120625 1
 
0.6%
20120702 1
 
0.6%
20130220 1
 
0.6%
20130430 1
 
0.6%
20130527 1
 
0.6%
20131119 1
 
0.6%
20140530 1
 
0.6%
20141015 5
3.2%
ValueCountFrequency (%)
20200529 1
 
0.6%
20200506 1
 
0.6%
20200501 1
 
0.6%
20200420 3
1.9%
20200410 1
 
0.6%
20200316 2
1.3%
20200113 1
 
0.6%
20190930 1
 
0.6%
20190710 1
 
0.6%
20190614 1
 
0.6%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
154 
20170904
 
1

Length

Max length8
Median length4
Mean length4.0258065
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 154
99.4%
20170904 1
 
0.6%

Length

2023-12-11T05:09:18.300648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:09:18.556170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 154
99.4%
20170904 1
 
0.6%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

소재지전화
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)94.7%
Missing98
Missing (%)63.2%
Infinite0
Infinite (%)0.0%
Mean1.5656247 × 109
Minimum5.3249474 × 108
Maximum7.0776008 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T05:09:18.788218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3249474 × 108
5-th percentile5.3323111 × 108
Q15.3573883 × 108
median5.3616148 × 108
Q35.379334 × 108
95-th percentile7.0743409 × 109
Maximum7.0776008 × 109
Range6.5451061 × 109
Interquartile range (IQR)2194578

Descriptive statistics

Standard deviation2.3990757 × 109
Coefficient of variation (CV)1.5323441
Kurtosis1.776505
Mean1.5656247 × 109
Median Absolute Deviation (MAD)605023
Skewness1.9275173
Sum8.9240608 × 1010
Variance5.7555644 × 1018
MonotonicityNot monotonic
2023-12-11T05:09:19.042434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7043046785 2
 
1.3%
533822256 2
 
1.3%
7074340900 2
 
1.3%
536162478 1
 
0.6%
533552030 1
 
0.6%
532948555 1
 
0.6%
7040017137 1
 
0.6%
535801760 1
 
0.6%
534252888 1
 
0.6%
536230729 1
 
0.6%
Other values (44) 44
28.4%
(Missing) 98
63.2%
ValueCountFrequency (%)
532494742 1
0.6%
532948555 1
0.6%
533120033 1
0.6%
533258881 1
0.6%
533552030 1
0.6%
533822256 2
1.3%
533849005 1
0.6%
533849901 1
0.6%
534237535 1
0.6%
534252888 1
0.6%
ValueCountFrequency (%)
7077600809 1
0.6%
7075840507 1
0.6%
7074340900 2
1.3%
7045255974 1
0.6%
7043046785 2
1.3%
7041450088 1
0.6%
7040017137 1
0.6%
539863669 1
0.6%
539847788 1
0.6%
539638887 1
0.6%

소재지면적
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
127 
0
28 

Length

Max length4
Median length4
Mean length3.4580645
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 127
81.9%
0 28
 
18.1%

Length

2023-12-11T05:09:19.292994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:09:19.476379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
81.9%
0 28
 
18.1%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)85.7%
Missing141
Missing (%)91.0%
Infinite0
Infinite (%)0.0%
Mean706012.64
Minimum700240
Maximum711856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T05:09:19.638726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700240
5-th percentile700890
Q1703080.75
median704528.5
Q3710574.25
95-th percentile711852.75
Maximum711856
Range11616
Interquartile range (IQR)7493.5

Descriptive statistics

Standard deviation4183.6629
Coefficient of variation (CV)0.0059257621
Kurtosis-1.2335219
Mean706012.64
Median Absolute Deviation (MAD)2014
Skewness0.48914616
Sum9884177
Variance17503036
MonotonicityNot monotonic
2023-12-11T05:09:19.797967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
711851 2
 
1.3%
703830 2
 
1.3%
704140 1
 
0.6%
711856 1
 
0.6%
704917 1
 
0.6%
702831 1
 
0.6%
701240 1
 
0.6%
706140 1
 
0.6%
700240 1
 
0.6%
711823 1
 
0.6%
Other values (2) 2
 
1.3%
(Missing) 141
91.0%
ValueCountFrequency (%)
700240 1
0.6%
701240 1
0.6%
702800 1
0.6%
702831 1
0.6%
703830 2
1.3%
704140 1
0.6%
704917 1
0.6%
706140 1
0.6%
706828 1
0.6%
711823 1
0.6%
ValueCountFrequency (%)
711856 1
0.6%
711851 2
1.3%
711823 1
0.6%
706828 1
0.6%
706140 1
0.6%
704917 1
0.6%
704140 1
0.6%
703830 2
1.3%
702831 1
0.6%
702800 1
0.6%

소재지전체주소
Text

Distinct116
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T05:09:20.486218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length21.645161
Min length1

Characters and Unicode

Total characters3355
Distinct characters153
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

Unique103 ?
Unique (%)66.5%

Sample

1st row대구광역시 달성군 옥포읍 교항리 2964번지 0호 옥포대성베르힐4단지 425동 203호
2nd row대구광역시 중구 남산동 2272번지 32호
3rd row대구광역시 달서구 두류동 105번지 23호
4th row대구광역시 수성구 가천동 522번지 1호
5th row대구광역시 달서구 신당동 1782번지 1호 1층 하이클래스
ValueCountFrequency (%)
대구광역시 126
 
18.4%
달서구 34
 
5.0%
달성군 20
 
2.9%
북구 18
 
2.6%
0호 16
 
2.3%
수성구 15
 
2.2%
중구 12
 
1.8%
1호 12
 
1.8%
서구 10
 
1.5%
남구 9
 
1.3%
Other values (256) 412
60.2%
2023-12-11T05:09:21.657309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
807
24.1%
구 240
 
7.2%
1 150
 
4.5%
대 142
 
4.2%
지 136
 
4.1%
호 132
 
3.9%
번 128
 
3.8%
시 127
 
3.8%
광 126
 
3.8%
역 126
 
3.8%
Other values (143) 1241
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1897
56.5%
Space Separator 807
24.1%
Decimal Number 641
 
19.1%
Uppercase Letter 4
 
0.1%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Other Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 240
12.7%
대 142
 
7.5%
지 136
 
7.2%
호 132
 
7.0%
번 128
 
6.7%
시 127
 
6.7%
광 126
 
6.6%
역 126
 
6.6%
동 123
 
6.5%
달 55
 
2.9%
Other values (125) 562
29.6%
Decimal Number
ValueCountFrequency (%)
1 150
23.4%
2 81
12.6%
0 74
11.5%
3 58
 
9.0%
4 56
 
8.7%
7 52
 
8.1%
5 52
 
8.1%
9 41
 
6.4%
8 39
 
6.1%
6 38
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
D 1
25.0%
S 1
25.0%
Space Separator
ValueCountFrequency (%)
807
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1897
56.5%
Common 1454
43.3%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 240
12.7%
대 142
 
7.5%
지 136
 
7.2%
호 132
 
7.0%
번 128
 
6.7%
시 127
 
6.7%
광 126
 
6.6%
역 126
 
6.6%
동 123
 
6.5%
달 55
 
2.9%
Other values (125) 562
29.6%
Common
ValueCountFrequency (%)
807
55.5%
1 150
 
10.3%
2 81
 
5.6%
0 74
 
5.1%
3 58
 
4.0%
4 56
 
3.9%
7 52
 
3.6%
5 52
 
3.6%
9 41
 
2.8%
8 39
 
2.7%
Other values (5) 44
 
3.0%
Latin
ValueCountFrequency (%)
B 2
50.0%
D 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1897
56.5%
ASCII 1458
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
807
55.3%
1 150
 
10.3%
2 81
 
5.6%
0 74
 
5.1%
3 58
 
4.0%
4 56
 
3.8%
7 52
 
3.6%
5 52
 
3.6%
9 41
 
2.8%
8 39
 
2.7%
Other values (8) 48
 
3.3%
Hangul
ValueCountFrequency (%)
구 240
12.7%
대 142
 
7.5%
지 136
 
7.2%
호 132
 
7.0%
번 128
 
6.7%
시 127
 
6.7%
광 126
 
6.6%
역 126
 
6.6%
동 123
 
6.5%
달 55
 
2.9%
Other values (125) 562
29.6%

도로명전체주소
Text

MISSING 

Distinct140
Distinct (%)91.5%
Missing2
Missing (%)1.3%
Memory size1.3 KiB
2023-12-11T05:09:22.179438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length27.72549
Min length20

Characters and Unicode

Total characters4242
Distinct characters195
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

Unique128 ?
Unique (%)83.7%

Sample

1st row대구광역시 달성군 옥포읍 돌미로 70, 425동 2층 203호 (옥포 대성베르힐4단지)
2nd row대구광역시 중구 명덕로 51 (남산동)
3rd row대구광역시 달서구 야외음악당로53길 38 (두류동)
4th row대구광역시 수성구 고모로 90 (가천동)
5th row대구광역시 달서구 성서서로69길 66-9, 1층 (신당동,1층하이클래스)
ValueCountFrequency (%)
대구광역시 153
 
17.7%
1층 39
 
4.5%
달서구 38
 
4.4%
달성군 31
 
3.6%
북구 20
 
2.3%
수성구 17
 
2.0%
중구 14
 
1.6%
동구 12
 
1.4%
서구 11
 
1.3%
남구 10
 
1.2%
Other values (355) 517
60.0%
2023-12-11T05:09:22.918578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
709
 
16.7%
구 289
 
6.8%
대 190
 
4.5%
1 190
 
4.5%
동 158
 
3.7%
역 156
 
3.7%
시 155
 
3.7%
광 153
 
3.6%
로 142
 
3.3%
) 127
 
3.0%
Other values (185) 1973
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2470
58.2%
Space Separator 709
 
16.7%
Decimal Number 684
 
16.1%
Close Punctuation 127
 
3.0%
Open Punctuation 127
 
3.0%
Other Punctuation 77
 
1.8%
Dash Punctuation 42
 
1.0%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 289
 
11.7%
대 190
 
7.7%
동 158
 
6.4%
역 156
 
6.3%
시 155
 
6.3%
광 153
 
6.2%
로 142
 
5.7%
길 91
 
3.7%
성 79
 
3.2%
달 78
 
3.2%
Other values (167) 979
39.6%
Decimal Number
ValueCountFrequency (%)
1 190
27.8%
2 81
11.8%
3 72
 
10.5%
4 70
 
10.2%
7 56
 
8.2%
0 55
 
8.0%
6 53
 
7.7%
5 48
 
7.0%
9 32
 
4.7%
8 27
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
D 2
33.3%
S 2
33.3%
B 2
33.3%
Space Separator
ValueCountFrequency (%)
709
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Other Punctuation
ValueCountFrequency (%)
, 77
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2470
58.2%
Common 1766
41.6%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 289
 
11.7%
대 190
 
7.7%
동 158
 
6.4%
역 156
 
6.3%
시 155
 
6.3%
광 153
 
6.2%
로 142
 
5.7%
길 91
 
3.7%
성 79
 
3.2%
달 78
 
3.2%
Other values (167) 979
39.6%
Common
ValueCountFrequency (%)
709
40.1%
1 190
 
10.8%
) 127
 
7.2%
( 127
 
7.2%
2 81
 
4.6%
, 77
 
4.4%
3 72
 
4.1%
4 70
 
4.0%
7 56
 
3.2%
0 55
 
3.1%
Other values (5) 202
 
11.4%
Latin
ValueCountFrequency (%)
D 2
33.3%
S 2
33.3%
B 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2470
58.2%
ASCII 1772
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
709
40.0%
1 190
 
10.7%
) 127
 
7.2%
( 127
 
7.2%
2 81
 
4.6%
, 77
 
4.3%
3 72
 
4.1%
4 70
 
4.0%
7 56
 
3.2%
0 55
 
3.1%
Other values (8) 208
 
11.7%
Hangul
ValueCountFrequency (%)
구 289
 
11.7%
대 190
 
7.7%
동 158
 
6.4%
역 156
 
6.3%
시 155
 
6.3%
광 153
 
6.2%
로 142
 
5.7%
길 91
 
3.7%
성 79
 
3.2%
달 78
 
3.2%
Other values (167) 979
39.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct82
Distinct (%)87.2%
Missing61
Missing (%)39.4%
Infinite0
Infinite (%)0.0%
Mean49300.394
Minimum41039
Maximum711840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T05:09:23.164366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41039
5-th percentile41146.4
Q141744.5
median42173
Q342710.25
95-th percentile42999
Maximum711840
Range670801
Interquartile range (IQR)965.75

Descriptive statistics

Standard deviation69073.148
Coefficient of variation (CV)1.4010669
Kurtosis93.985317
Mean49300.394
Median Absolute Deviation (MAD)531
Skewness9.6942357
Sum4634237
Variance4.7710998 × 109
MonotonicityNot monotonic
2023-12-11T05:09:23.413498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42974 4
 
2.6%
42999 2
 
1.3%
41039 2
 
1.3%
42442 2
 
1.3%
42968 2
 
1.3%
41968 2
 
1.3%
41846 2
 
1.3%
42187 2
 
1.3%
41518 2
 
1.3%
41927 2
 
1.3%
Other values (72) 72
46.5%
(Missing) 61
39.4%
ValueCountFrequency (%)
41039 2
1.3%
41112 1
0.6%
41113 1
0.6%
41123 1
0.6%
41159 1
0.6%
41165 1
0.6%
41172 1
0.6%
41232 1
0.6%
41400 1
0.6%
41433 1
0.6%
ValueCountFrequency (%)
711840 1
 
0.6%
43017 1
 
0.6%
43013 1
 
0.6%
43003 1
 
0.6%
42999 2
1.3%
42976 1
 
0.6%
42974 4
2.6%
42969 1
 
0.6%
42968 2
1.3%
42966 1
 
0.6%

사업장명
Text

Distinct135
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T05:09:23.786402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length6.7483871
Min length2

Characters and Unicode

Total characters1046
Distinct characters263
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)75.5%

Sample

1st row온도그(ON DOG)
2nd row도담
3rd row대구펫수제간식
4th row코리아히록스
5th row하이클래스 반려동물 수제간식
ValueCountFrequency (%)
수제간식 9
 
4.7%
주식회사 5
 
2.6%
신동아양봉산업 3
 
1.6%
고려산업(주)대구배합사료공장 3
 
1.6%
앤 2
 
1.0%
아일랜드 2
 
1.0%
반려동물 2
 
1.0%
dog 2
 
1.0%
개슐랭 2
 
1.0%
주)코넴바이오 2
 
1.0%
Other values (146) 161
83.4%
2023-12-11T05:09:24.392889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 43
 
4.1%
) 43
 
4.1%
주 42
 
4.0%
38
 
3.6%
이 35
 
3.3%
식 26
 
2.5%
사 22
 
2.1%
스 20
 
1.9%
아 16
 
1.5%
수 15
 
1.4%
Other values (253) 746
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 833
79.6%
Uppercase Letter 70
 
6.7%
Open Punctuation 43
 
4.1%
Close Punctuation 43
 
4.1%
Space Separator 38
 
3.6%
Lowercase Letter 16
 
1.5%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 42
 
5.0%
이 35
 
4.2%
식 26
 
3.1%
사 22
 
2.6%
스 20
 
2.4%
아 16
 
1.9%
수 15
 
1.8%
제 14
 
1.7%
간 14
 
1.7%
업 13
 
1.6%
Other values (223) 616
73.9%
Uppercase Letter
ValueCountFrequency (%)
O 15
21.4%
D 8
11.4%
N 8
11.4%
G 8
11.4%
L 6
 
8.6%
A 5
 
7.1%
S 4
 
5.7%
P 3
 
4.3%
F 3
 
4.3%
C 2
 
2.9%
Other values (5) 8
11.4%
Lowercase Letter
ValueCountFrequency (%)
r 4
25.0%
d 2
12.5%
t 2
12.5%
o 2
12.5%
e 1
 
6.2%
y 1
 
6.2%
s 1
 
6.2%
u 1
 
6.2%
n 1
 
6.2%
g 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
! 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Space Separator
ValueCountFrequency (%)
38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 833
79.6%
Common 127
 
12.1%
Latin 86
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 42
 
5.0%
이 35
 
4.2%
식 26
 
3.1%
사 22
 
2.6%
스 20
 
2.4%
아 16
 
1.9%
수 15
 
1.8%
제 14
 
1.7%
간 14
 
1.7%
업 13
 
1.6%
Other values (223) 616
73.9%
Latin
ValueCountFrequency (%)
O 15
17.4%
D 8
 
9.3%
N 8
 
9.3%
G 8
 
9.3%
L 6
 
7.0%
A 5
 
5.8%
S 4
 
4.7%
r 4
 
4.7%
P 3
 
3.5%
F 3
 
3.5%
Other values (15) 22
25.6%
Common
ValueCountFrequency (%)
( 43
33.9%
) 43
33.9%
38
29.9%
. 2
 
1.6%
! 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 833
79.6%
ASCII 213
 
20.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 43
20.2%
) 43
20.2%
38
17.8%
O 15
 
7.0%
D 8
 
3.8%
N 8
 
3.8%
G 8
 
3.8%
L 6
 
2.8%
A 5
 
2.3%
S 4
 
1.9%
Other values (20) 35
16.4%
Hangul
ValueCountFrequency (%)
주 42
 
5.0%
이 35
 
4.2%
식 26
 
3.1%
사 22
 
2.6%
스 20
 
2.4%
아 16
 
1.9%
수 15
 
1.8%
제 14
 
1.7%
간 14
 
1.7%
업 13
 
1.6%
Other values (223) 616
73.9%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0174481 × 1013
Minimum2.0110517 × 1013
Maximum2.0200529 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T05:09:24.627335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0110517 × 1013
5-th percentile2.013053 × 1013
Q12.0151162 × 1013
median2.0180628 × 1013
Q32.0191025 × 1013
95-th percentile2.0200418 × 1013
Maximum2.0200529 × 1013
Range9.0012035 × 1010
Interquartile range (IQR)3.9862968 × 1010

Descriptive statistics

Standard deviation2.3878465 × 1010
Coefficient of variation (CV)0.0011835975
Kurtosis-0.76044514
Mean2.0174481 × 1013
Median Absolute Deviation (MAD)1.968808 × 1010
Skewness-0.68723571
Sum3.1270445 × 1015
Variance5.7018109 × 1020
MonotonicityNot monotonic
2023-12-11T05:09:24.833642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200316171306 1
 
0.6%
20180912195742 1
 
0.6%
20151106101944 1
 
0.6%
20131119113119 1
 
0.6%
20150728183248 1
 
0.6%
20150428093013 1
 
0.6%
20130531140245 1
 
0.6%
20141205112052 1
 
0.6%
20180917202641 1
 
0.6%
20180731104035 1
 
0.6%
Other values (145) 145
93.5%
ValueCountFrequency (%)
20110517100736 1
0.6%
20120702170719 1
0.6%
20120704170839 1
0.6%
20120810113723 1
0.6%
20130221131730 1
0.6%
20130409094024 1
0.6%
20130501095930 1
0.6%
20130527155611 1
0.6%
20130531140245 1
0.6%
20131119091902 1
0.6%
ValueCountFrequency (%)
20200529135733 1
0.6%
20200519132633 1
0.6%
20200507141117 1
0.6%
20200504100445 1
0.6%
20200429093508 1
0.6%
20200423162511 1
0.6%
20200421111626 1
0.6%
20200420161206 1
0.6%
20200417150146 1
0.6%
20200414170529 1
0.6%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
I
120 
U
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 120
77.4%
U 35
 
22.6%

Length

2023-12-11T05:09:24.995896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:09:25.124987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 120
77.4%
u 35
 
22.6%

데이터갱신일자
Date

Distinct55
Distinct (%)35.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2018-10-12 23:59:59
Maximum2020-05-31 02:40:00
2023-12-11T05:09:25.274692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:09:25.432502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct4
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
사료제조업(단미)
92 
사료제조업(수입)
41 
사료제조업(보조)
15 
사료제조업(배합)
 
7

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사료제조업(단미)
2nd row사료제조업(단미)
3rd row사료제조업(단미)
4th row사료제조업(수입)
5th row사료제조업(단미)

Common Values

ValueCountFrequency (%)
사료제조업(단미) 92
59.4%
사료제조업(수입) 41
26.5%
사료제조업(보조) 15
 
9.7%
사료제조업(배합) 7
 
4.5%

Length

2023-12-11T05:09:25.571056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:09:25.702489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업(단미 92
59.4%
사료제조업(수입 41
26.5%
사료제조업(보조 15
 
9.7%
사료제조업(배합 7
 
4.5%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct133
Distinct (%)88.7%
Missing5
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean340178.84
Minimum325685.32
Maximum356490.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T05:09:25.831688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325685.32
5-th percentile329390.21
Q1335334.43
median339952.29
Q3344738.82
95-th percentile352905.28
Maximum356490.81
Range30805.492
Interquartile range (IQR)9404.3856

Descriptive statistics

Standard deviation6785.3802
Coefficient of variation (CV)0.019946509
Kurtosis-0.41122428
Mean340178.84
Median Absolute Deviation (MAD)4704.9479
Skewness0.12517801
Sum51026826
Variance46041385
MonotonicityNot monotonic
2023-12-11T05:09:25.975409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
335371.290684 3
 
1.9%
343643.25941 2
 
1.3%
342558.258628 2
 
1.3%
332463.299271 2
 
1.3%
330334.509299 2
 
1.3%
339148.580143 2
 
1.3%
346703.276975 2
 
1.3%
344668.22137 2
 
1.3%
331305.956137 2
 
1.3%
335020.715339 2
 
1.3%
Other values (123) 129
83.2%
(Missing) 5
 
3.2%
ValueCountFrequency (%)
325685.31578 1
0.6%
326530.499627 1
0.6%
328187.529441 1
0.6%
328755.529324 1
0.6%
328797.873691 1
0.6%
328865.878982 1
0.6%
328958.802309 1
0.6%
329251.092134 1
0.6%
329560.24324 1
0.6%
329977.0 1
0.6%
ValueCountFrequency (%)
356490.807776 1
0.6%
356415.0 1
0.6%
354582.444581 1
0.6%
354394.426096 1
0.6%
353698.53825 1
0.6%
353620.426197 1
0.6%
353171.444006 1
0.6%
353059.329778 1
0.6%
352716.996134 1
0.6%
352351.25464 1
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct133
Distinct (%)88.7%
Missing5
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean261515.05
Minimum238813.23
Maximum273621.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T05:09:26.129204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238813.23
5-th percentile247627.74
Q1260066.91
median262513.58
Q3264620.49
95-th percentile270536.72
Maximum273621.62
Range34808.397
Interquartile range (IQR)4553.5793

Descriptive statistics

Standard deviation6295.87
Coefficient of variation (CV)0.024074599
Kurtosis2.9119612
Mean261515.05
Median Absolute Deviation (MAD)2289.4772
Skewness-1.3190566
Sum39227257
Variance39637979
MonotonicityNot monotonic
2023-12-11T05:09:26.284085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261402.002743 3
 
1.9%
263889.607137 2
 
1.3%
264126.513264 2
 
1.3%
263622.870714 2
 
1.3%
245287.116616 2
 
1.3%
262940.363263 2
 
1.3%
260017.12475 2
 
1.3%
261640.181884 2
 
1.3%
254410.061101 2
 
1.3%
261876.939346 2
 
1.3%
Other values (123) 129
83.2%
(Missing) 5
 
3.2%
ValueCountFrequency (%)
238813.226712 1
0.6%
239251.708488 1
0.6%
239622.46576 1
0.6%
244256.0 1
0.6%
244606.289818 1
0.6%
245287.116616 2
1.3%
245627.0 1
0.6%
250073.095414 1
0.6%
250380.695192 1
0.6%
250499.376312 1
0.6%
ValueCountFrequency (%)
273621.624082 1
0.6%
273220.608261 2
1.3%
272599.237393 1
0.6%
272538.738654 2
1.3%
270600.017624 1
0.6%
270558.140041 1
0.6%
270510.532544 1
0.6%
269605.542924 1
0.6%
268872.552457 1
0.6%
268724.378099 1
0.6%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
사료제조업
155 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사료제조업 155
100.0%

Length

2023-12-11T05:09:26.425425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:09:26.521569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 155
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

권리주체일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
000
139 
L00
16 

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 (%)
000 139
89.7%
L00 16
 
10.3%

Length

2023-12-11T05:09:26.624784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:09:26.736605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 139
89.7%
l00 16
 
10.3%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
01사료제조업02_04_05_P627000062700005022020000320200204<NA>3폐업2폐업20200316<NA><NA><NA><NA>0<NA>대구광역시 달성군 옥포읍 교항리 2964번지 0호 옥포대성베르힐4단지 425동 203호대구광역시 달성군 옥포읍 돌미로 70, 425동 2층 203호 (옥포 대성베르힐4단지)<NA>온도그(ON DOG)20200316171306U2020-03-18 02:40:00.0사료제조업(단미)330493.0254399.0사료제조업<NA><NA>000<NA>
12사료제조업02_04_05_P627000062700005022017001220171115<NA>3폐업2폐업20200420<NA><NA><NA><NA><NA><NA>대구광역시 중구 남산동 2272번지 32호대구광역시 중구 명덕로 51 (남산동)<NA>도담20200423162511U2020-04-25 02:40:00.0사료제조업(단미)342346.844622263261.093834사료제조업<NA><NA>000<NA>
23사료제조업02_04_05_P627000062700005022017001020170810<NA>3폐업2폐업20180910<NA><NA><NA>536273011<NA><NA>대구광역시 달서구 두류동 105번지 23호대구광역시 달서구 야외음악당로53길 38 (두류동)42660대구펫수제간식20180910114417I2019-03-23 02:20:03.0사료제조업(단미)341090.228047263093.114397사료제조업<NA><NA>000<NA>
34사료제조업02_04_05_P627000062700005022017000920170720<NA>3폐업2폐업20171208<NA><NA><NA>534237535<NA><NA>대구광역시 수성구 가천동 522번지 1호대구광역시 수성구 고모로 90 (가천동)<NA>코리아히록스20171208133603I2019-03-23 02:20:03.0사료제조업(수입)352351.25464262491.643468사료제조업<NA><NA>000<NA>
45사료제조업02_04_05_P627000062700005022014000620140819<NA>3폐업2폐업20200410<NA><NA><NA><NA><NA><NA>대구광역시 달서구 신당동 1782번지 1호 1층 하이클래스대구광역시 달서구 성서서로69길 66-9, 1층 (신당동,1층하이클래스)42609하이클래스 반려동물 수제간식20200410164015U2020-04-12 02:40:00.0사료제조업(단미)335056.662035262814.18781사료제조업<NA><NA>000<NA>
56사료제조업02_04_05_P627000062700005022016000320160511<NA>3폐업2폐업20200420<NA><NA><NA><NA><NA><NA>대구광역시 달서구 월배로67안길 37 (송현동)<NA>다롱20200421111626U2020-04-23 02:40:00.0사료제조업(단미)339715.515253259722.928286사료제조업<NA><NA>000<NA>
67사료제조업02_04_05_P627000062700005022015001420151123<NA>3폐업2폐업20160122<NA><NA><NA>536140468<NA><NA>대구광역시 달성군 옥포면 비슬로 420711840신동아양봉산업20160122174357I2019-03-23 02:20:03.0사료제조업(배합)<NA><NA>사료제조업<NA><NA>000<NA>
78사료제조업02_04_05_P627000062700005022015000920150703<NA>3폐업2폐업20160707<NA><NA><NA><NA><NA><NA>대구광역시 수성구 용학로36길 20 (지산동)42218굿펫(Good Pet)20160707090233I2019-03-23 02:20:03.0사료제조업(단미)347040.840981259111.444544사료제조업<NA><NA>000<NA>
89사료제조업02_04_05_P627000062700005022015000820150703<NA>3폐업2폐업20200529<NA><NA><NA><NA><NA><NA>대구광역시 중구 달성로26길 25 (도원동)41915멍매이 수제간식20200529135733U2020-05-31 02:40:00.0사료제조업(단미)342929.493151265147.420394사료제조업<NA><NA>000<NA>
910사료제조업02_04_05_P627000062700005022013000320130304<NA>3폐업2폐업20140530<NA><NA><NA><NA><NA><NA>대구광역시 달서구 감삼동 206번지 58호대구광역시 달서구 당산로21안길 39 (감삼동)42653스마일퍼피20140530101006I2019-03-23 02:20:03.0사료제조업(단미)339385.890545261693.436796사료제조업<NA><NA>000<NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
145146사료제조업02_04_05_P627000062700005022019003420191223<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>대구광역시 북구 태전동 1199번지 0호대구광역시 북구 학정로 143-4, 2층 (태전동)<NA>댕스컴퍼니20200316171103U2020-03-18 02:40:00.0사료제조업(단미)<NA><NA>사료제조업<NA><NA>000<NA>
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