Overview

Dataset statistics

Number of variables33
Number of observations9238
Missing cells51186
Missing cells (%)16.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 MiB
Average record size in memory282.0 B

Variable types

Numeric12
Categorical14
Unsupported2
Text4
DateTime1

Dataset

Description22년06월_6270000_대구광역시_07_22_04_P_축산판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093750&dataSetDetailId=DDI_0000093749&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
축산업무구분명 has constant value ""Constant
상세영업상태코드 is highly imbalanced (56.2%)Imbalance
상세영업상태명 is highly imbalanced (56.2%)Imbalance
재개업일자 is highly imbalanced (99.7%)Imbalance
업태구분명 is highly imbalanced (65.8%)Imbalance
축산물가공업구분명 is highly imbalanced (65.8%)Imbalance
축산일련번호 is highly imbalanced (67.5%)Imbalance
권리주체일련번호 is highly imbalanced (77.9%)Imbalance
총종업원수 is highly imbalanced (67.5%)Imbalance
인허가취소일자 has 9238 (100.0%) missing valuesMissing
폐업일자 has 3587 (38.8%) missing valuesMissing
휴업시작일자 has 9220 (99.8%) missing valuesMissing
휴업종료일자 has 9226 (99.9%) missing valuesMissing
소재지전화 has 3581 (38.8%) missing valuesMissing
소재지우편번호 has 9238 (100.0%) missing valuesMissing
도로명전체주소 has 650 (7.0%) missing valuesMissing
도로명우편번호 has 5475 (59.3%) missing valuesMissing
좌표정보(X) has 455 (4.9%) missing valuesMissing
좌표정보(Y) has 455 (4.9%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 29.41312303)Skewed
도로명우편번호 is highly skewed (γ1 = 21.61421232)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
소재지면적 has 656 (7.1%) zerosZeros

Reproduction

Analysis started2024-04-17 22:45:33.170709
Analysis finished2024-04-17 22:45:34.834486
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct9238
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4619.5
Minimum1
Maximum9238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.3 KiB
2024-04-18T07:45:34.901004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile462.85
Q12310.25
median4619.5
Q36928.75
95-th percentile8776.15
Maximum9238
Range9237
Interquartile range (IQR)4618.5

Descriptive statistics

Standard deviation2666.9252
Coefficient of variation (CV)0.57731902
Kurtosis-1.2
Mean4619.5
Median Absolute Deviation (MAD)2309.5
Skewness0
Sum42674941
Variance7112490.2
MonotonicityStrictly increasing
2024-04-18T07:45:35.056855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
6065 1
 
< 0.1%
6157 1
 
< 0.1%
6158 1
 
< 0.1%
6159 1
 
< 0.1%
6160 1
 
< 0.1%
6161 1
 
< 0.1%
6162 1
 
< 0.1%
6163 1
 
< 0.1%
6164 1
 
< 0.1%
Other values (9228) 9228
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
9238 1
< 0.1%
9237 1
< 0.1%
9236 1
< 0.1%
9235 1
< 0.1%
9234 1
< 0.1%
9233 1
< 0.1%
9232 1
< 0.1%
9231 1
< 0.1%
9230 1
< 0.1%
9229 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
축산판매업
9238 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산판매업 9238
100.0%

Length

2024-04-18T07:45:35.175615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:45:35.286637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산판매업 9238
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
07_22_04_P
9238 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_04_P
2nd row07_22_04_P
3rd row07_22_04_P
4th row07_22_04_P
5th row07_22_04_P

Common Values

ValueCountFrequency (%)
07_22_04_P 9238
100.0%

Length

2024-04-18T07:45:35.391200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:45:35.473386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_04_p 9238
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450023.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.3 KiB
2024-04-18T07:45:35.548285image/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 deviation19693.975
Coefficient of variation (CV)0.005708359
Kurtosis-0.96962555
Mean3450023.8
Median Absolute Deviation (MAD)20000
Skewness-0.32100756
Sum3.187132 × 1010
Variance3.8785263 × 108
MonotonicityIncreasing
2024-04-18T07:45:35.654376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 2136
23.1%
3470000 1859
20.1%
3460000 1346
14.6%
3420000 1255
13.6%
3430000 912
9.9%
3480000 777
 
8.4%
3440000 676
 
7.3%
3410000 277
 
3.0%
ValueCountFrequency (%)
3410000 277
 
3.0%
3420000 1255
13.6%
3430000 912
9.9%
3440000 676
 
7.3%
3450000 2136
23.1%
3460000 1346
14.6%
3470000 1859
20.1%
3480000 777
 
8.4%
ValueCountFrequency (%)
3480000 777
 
8.4%
3470000 1859
20.1%
3460000 1346
14.6%
3450000 2136
23.1%
3440000 676
 
7.3%
3430000 912
9.9%
3420000 1255
13.6%
3410000 277
 
3.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct9238
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4500238 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.3 KiB
2024-04-18T07:45:35.787873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.41 × 1017
5-th percentile3.42 × 1017
Q13.43 × 1017
median3.45 × 1017
Q33.47 × 1017
95-th percentile3.48 × 1017
Maximum3.48 × 1017
Range7 × 1015
Interquartile range (IQR)4 × 1015

Descriptive statistics

Standard deviation1.9693975 × 1015
Coefficient of variation (CV)0.005708359
Kurtosis-0.96962555
Mean3.4500238 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.32100756
Sum-4.1547163 × 1018
Variance3.8785263 × 1030
MonotonicityNot monotonic
2024-04-18T07:45:35.924159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000000920010007 1
 
< 0.1%
346000000920020069 1
 
< 0.1%
346000000920120009 1
 
< 0.1%
346000000920120011 1
 
< 0.1%
346000000919980033 1
 
< 0.1%
346000000920120020 1
 
< 0.1%
346000000920120024 1
 
< 0.1%
346000000920120025 1
 
< 0.1%
346000000920120027 1
 
< 0.1%
346000000920120030 1
 
< 0.1%
Other values (9228) 9228
99.9%
ValueCountFrequency (%)
341000000919730001 1
< 0.1%
341000000919760001 1
< 0.1%
341000000919780001 1
< 0.1%
341000000919800001 1
< 0.1%
341000000919800002 1
< 0.1%
341000000919810001 1
< 0.1%
341000000919820001 1
< 0.1%
341000000919830001 1
< 0.1%
341000000919840001 1
< 0.1%
341000000919850001 1
< 0.1%
ValueCountFrequency (%)
348000000920220015 1
< 0.1%
348000000920220014 1
< 0.1%
348000000920220013 1
< 0.1%
348000000920220012 1
< 0.1%
348000000920220011 1
< 0.1%
348000000920220010 1
< 0.1%
348000000920220009 1
< 0.1%
348000000920220008 1
< 0.1%
348000000920220007 1
< 0.1%
348000000920220006 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct4702
Distinct (%)50.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20071827
Minimum19000101
Maximum20220630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.3 KiB
2024-04-18T07:45:36.074869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19000101
5-th percentile19961106
Q120011117
median20070624
Q320130823
95-th percentile20200410
Maximum20220630
Range1220529
Interquartile range (IQR)119706

Descriptive statistics

Standard deviation80191.354
Coefficient of variation (CV)0.0039952196
Kurtosis3.7506848
Mean20071827
Median Absolute Deviation (MAD)59822
Skewness-0.59355035
Sum1.8542353 × 1011
Variance6.4306533 × 109
MonotonicityNot monotonic
2024-04-18T07:45:36.216310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19980827 67
 
0.7%
19980826 60
 
0.6%
19980825 47
 
0.5%
19980829 43
 
0.5%
19980803 41
 
0.4%
19980828 39
 
0.4%
19980805 37
 
0.4%
20011106 36
 
0.4%
20050902 35
 
0.4%
19980902 35
 
0.4%
Other values (4692) 8798
95.2%
ValueCountFrequency (%)
19000101 1
< 0.1%
19710903 1
< 0.1%
19720229 1
< 0.1%
19730101 1
< 0.1%
19731122 2
< 0.1%
19731127 1
< 0.1%
19731213 1
< 0.1%
19740624 1
< 0.1%
19740710 1
< 0.1%
19740903 1
< 0.1%
ValueCountFrequency (%)
20220630 1
< 0.1%
20220629 2
< 0.1%
20220627 1
< 0.1%
20220622 1
< 0.1%
20220615 1
< 0.1%
20220613 1
< 0.1%
20220610 1
< 0.1%
20220609 1
< 0.1%
20220603 1
< 0.1%
20220602 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9238
Missing (%)100.0%
Memory size81.3 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
3
5707 
1
3256 
4
 
260
2
 
15

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 (%)
3 5707
61.8%
1 3256
35.2%
4 260
 
2.8%
2 15
 
0.2%

Length

2024-04-18T07:45:36.345644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:45:36.452532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 5707
61.8%
1 3256
35.2%
4 260
 
2.8%
2 15
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
폐업
5707 
영업/정상
3256 
취소/말소/만료/정지/중지
 
260
휴업
 
15

Length

Max length14
Median length2
Mean length3.3951072
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 5707
61.8%
영업/정상 3256
35.2%
취소/말소/만료/정지/중지 260
 
2.8%
휴업 15
 
0.2%

Length

2024-04-18T07:45:36.568754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:45:36.681218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 5707
61.8%
영업/정상 3256
35.2%
취소/말소/만료/정지/중지 260
 
2.8%
휴업 15
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
0002
5707 
0000
3253 
0004
 
242
0003
 
18
0001
 
15

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0002
2nd row0002
3rd row0002
4th row0002
5th row0002

Common Values

ValueCountFrequency (%)
0002 5707
61.8%
0000 3253
35.2%
0004 242
 
2.6%
0003 18
 
0.2%
0001 15
 
0.2%
BBBB 3
 
< 0.1%

Length

2024-04-18T07:45:36.810843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:45:36.904807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0002 5707
61.8%
0000 3253
35.2%
0004 242
 
2.6%
0003 18
 
0.2%
0001 15
 
0.2%
bbbb 3
 
< 0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
폐업
5707 
정상
3253 
말소
 
242
행정처분
 
18
휴업
 
15

Length

Max length4
Median length2
Mean length2.0045464
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 5707
61.8%
정상 3253
35.2%
말소 242
 
2.6%
행정처분 18
 
0.2%
휴업 15
 
0.2%
<NA> 3
 
< 0.1%

Length

2024-04-18T07:45:37.029957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:45:37.148247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 5707
61.8%
정상 3253
35.2%
말소 242
 
2.6%
행정처분 18
 
0.2%
휴업 15
 
0.2%
na 3
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct3140
Distinct (%)55.6%
Missing3587
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean20110421
Minimum19980919
Maximum20220630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.3 KiB
2024-04-18T07:45:37.260174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980919
5-th percentile20030426
Q120060918
median20111004
Q320150620
95-th percentile20200718
Maximum20220630
Range239711
Interquartile range (IQR)89701

Descriptive statistics

Standard deviation55160.001
Coefficient of variation (CV)0.0027428566
Kurtosis-0.90383969
Mean20110421
Median Absolute Deviation (MAD)40873
Skewness-0.0075616526
Sum1.1364399 × 1011
Variance3.0426257 × 109
MonotonicityNot monotonic
2024-04-18T07:45:37.411443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20141014 43
 
0.5%
20141016 38
 
0.4%
20141015 29
 
0.3%
20060612 27
 
0.3%
20061010 26
 
0.3%
20000504 21
 
0.2%
20050831 19
 
0.2%
20170508 16
 
0.2%
20111230 13
 
0.1%
20050830 11
 
0.1%
Other values (3130) 5408
58.5%
(Missing) 3587
38.8%
ValueCountFrequency (%)
19980919 1
< 0.1%
19980926 1
< 0.1%
19981014 1
< 0.1%
19981019 1
< 0.1%
19981027 1
< 0.1%
19981029 2
< 0.1%
19981105 1
< 0.1%
19981107 1
< 0.1%
19981110 1
< 0.1%
19981112 1
< 0.1%
ValueCountFrequency (%)
20220630 1
< 0.1%
20220628 1
< 0.1%
20220607 1
< 0.1%
20220530 2
< 0.1%
20220526 1
< 0.1%
20220525 1
< 0.1%
20220524 1
< 0.1%
20220516 1
< 0.1%
20220511 1
< 0.1%
20220510 1
< 0.1%

휴업시작일자
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)94.4%
Missing9220
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean20117770
Minimum20011211
Maximum20210715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.3 KiB
2024-04-18T07:45:37.518037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20011211
5-th percentile20052960
Q120063100
median20106057
Q320172684
95-th percentile20201698
Maximum20210715
Range199504
Interquartile range (IQR)109583.5

Descriptive statistics

Standard deviation59785.483
Coefficient of variation (CV)0.0029717748
Kurtosis-1.1330172
Mean20117770
Median Absolute Deviation (MAD)45535
Skewness0.11159505
Sum3.6211986 × 108
Variance3.5743039 × 109
MonotonicityNot monotonic
2024-04-18T07:45:37.628006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20200107 2
 
< 0.1%
20100901 1
 
< 0.1%
20180209 1
 
< 0.1%
20060328 1
 
< 0.1%
20140326 1
 
< 0.1%
20181217 1
 
< 0.1%
20150107 1
 
< 0.1%
20060412 1
 
< 0.1%
20060626 1
 
< 0.1%
20111213 1
 
< 0.1%
Other values (7) 7
 
0.1%
(Missing) 9220
99.8%
ValueCountFrequency (%)
20011211 1
< 0.1%
20060328 1
< 0.1%
20060412 1
< 0.1%
20060418 1
< 0.1%
20060626 1
< 0.1%
20070522 1
< 0.1%
20090309 1
< 0.1%
20090424 1
< 0.1%
20100901 1
< 0.1%
20111213 1
< 0.1%
ValueCountFrequency (%)
20210715 1
< 0.1%
20200107 2
< 0.1%
20181217 1
< 0.1%
20180209 1
< 0.1%
20150107 1
< 0.1%
20140708 1
< 0.1%
20140326 1
< 0.1%
20111213 1
< 0.1%
20100901 1
< 0.1%
20090424 1
< 0.1%

휴업종료일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing9226
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean20117259
Minimum20061017
Maximum20220730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.3 KiB
2024-04-18T07:45:37.732439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20061017
5-th percentile20066138
Q120070572
median20105305
Q320162661
95-th percentile20198773
Maximum20220730
Range159713
Interquartile range (IQR)92088.5

Descriptive statistics

Standard deviation53622.827
Coefficient of variation (CV)0.0026655136
Kurtosis-0.76804151
Mean20117259
Median Absolute Deviation (MAD)34935.5
Skewness0.70926499
Sum2.4140711 × 108
Variance2.8754075 × 109
MonotonicityNot monotonic
2024-04-18T07:45:37.834651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20070626 1
 
< 0.1%
20110301 1
 
< 0.1%
20070930 1
 
< 0.1%
20220730 1
 
< 0.1%
20100309 1
 
< 0.1%
20121214 1
 
< 0.1%
20061017 1
 
< 0.1%
20070412 1
 
< 0.1%
20160106 1
 
< 0.1%
20170326 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 9226
99.9%
ValueCountFrequency (%)
20061017 1
< 0.1%
20070327 1
< 0.1%
20070412 1
< 0.1%
20070626 1
< 0.1%
20070930 1
< 0.1%
20100309 1
< 0.1%
20110301 1
< 0.1%
20121214 1
< 0.1%
20160106 1
< 0.1%
20170326 1
< 0.1%
ValueCountFrequency (%)
20220730 1
< 0.1%
20180808 1
< 0.1%
20170326 1
< 0.1%
20160106 1
< 0.1%
20121214 1
< 0.1%
20110301 1
< 0.1%
20100309 1
< 0.1%
20070930 1
< 0.1%
20070626 1
< 0.1%
20070412 1
< 0.1%

재개업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
<NA>
9234 
20151217
 
1
20100601
 
1
20030401
 
1
20080421
 
1

Length

Max length8
Median length4
Mean length4.001732
Min length4

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9234
> 99.9%
20151217 1
 
< 0.1%
20100601 1
 
< 0.1%
20030401 1
 
< 0.1%
20080421 1
 
< 0.1%

Length

2024-04-18T07:45:37.957685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:45:38.068086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9234
> 99.9%
20151217 1
 
< 0.1%
20100601 1
 
< 0.1%
20030401 1
 
< 0.1%
20080421 1
 
< 0.1%

소재지전화
Text

MISSING 

Distinct5297
Distinct (%)93.6%
Missing3581
Missing (%)38.8%
Memory size72.3 KiB
2024-04-18T07:45:38.299578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length8
Mean length9.6399151
Min length2

Characters and Unicode

Total characters54533
Distinct characters17
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4988 ?
Unique (%)88.2%

Sample

1st row255-6548
2nd row253-8269
3rd row256-4614
4th row476-1996
5th row255-6956
ValueCountFrequency (%)
258-3012 12
 
0.2%
582-9901 5
 
0.1%
055-324-2112 5
 
0.1%
258-3011 5
 
0.1%
258-2003 4
 
0.1%
561-6665 4
 
0.1%
258-2002 4
 
0.1%
053-321-9900 4
 
0.1%
754-4450 4
 
0.1%
322-2436 3
 
0.1%
Other values (5284) 5607
99.1%
2024-04-18T07:45:38.677678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7936
14.6%
- 7498
13.7%
3 6571
12.0%
0 5364
9.8%
6 4804
8.8%
2 4662
8.5%
7 3643
6.7%
1 3508
6.4%
8 3430
6.3%
9 3423
6.3%
Other values (7) 3694
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 46746
85.7%
Dash Punctuation 7498
 
13.7%
Close Punctuation 173
 
0.3%
Other Punctuation 55
 
0.1%
Open Punctuation 54
 
0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7936
17.0%
3 6571
14.1%
0 5364
11.5%
6 4804
10.3%
2 4662
10.0%
7 3643
7.8%
1 3508
7.5%
8 3430
7.3%
9 3423
7.3%
4 3405
7.3%
Other Punctuation
ValueCountFrequency (%)
, 49
89.1%
/ 4
 
7.3%
. 2
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 7498
100.0%
Close Punctuation
ValueCountFrequency (%)
) 173
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 54533
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7936
14.6%
- 7498
13.7%
3 6571
12.0%
0 5364
9.8%
6 4804
8.8%
2 4662
8.5%
7 3643
6.7%
1 3508
6.4%
8 3430
6.3%
9 3423
6.3%
Other values (7) 3694
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54533
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7936
14.6%
- 7498
13.7%
3 6571
12.0%
0 5364
9.8%
6 4804
8.8%
2 4662
8.5%
7 3643
6.7%
1 3508
6.4%
8 3430
6.3%
9 3423
6.3%
Other values (7) 3694
6.8%

소재지면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct4139
Distinct (%)44.9%
Missing21
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean112.05688
Minimum0
Maximum37829
Zeros656
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size81.3 KiB
2024-04-18T07:45:38.830184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.4
median31.2
Q369.09
95-th percentile327.016
Maximum37829
Range37829
Interquartile range (IQR)52.69

Descriptive statistics

Standard deviation726.32327
Coefficient of variation (CV)6.4817376
Kurtosis1144.3096
Mean112.05688
Median Absolute Deviation (MAD)19.17
Skewness29.413123
Sum1032828.2
Variance527545.49
MonotonicityNot monotonic
2024-04-18T07:45:38.961489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 656
 
7.1%
20.0 78
 
0.8%
30.0 57
 
0.6%
24.0 56
 
0.6%
15.0 54
 
0.6%
33.0 50
 
0.5%
10.0 44
 
0.5%
12.0 44
 
0.5%
36.0 44
 
0.5%
16.0 42
 
0.5%
Other values (4129) 8092
87.6%
ValueCountFrequency (%)
0.0 656
7.1%
0.42 1
 
< 0.1%
0.51 1
 
< 0.1%
0.84 1
 
< 0.1%
1.0 20
 
0.2%
1.65 2
 
< 0.1%
1.7 1
 
< 0.1%
1.8 2
 
< 0.1%
1.84 1
 
< 0.1%
1.92 2
 
< 0.1%
ValueCountFrequency (%)
37829.0 1
< 0.1%
24645.0 1
< 0.1%
18704.02 1
< 0.1%
18232.38 1
< 0.1%
17821.55 1
< 0.1%
17193.17 2
< 0.1%
10459.13 1
< 0.1%
9603.64 1
< 0.1%
9192.91 1
< 0.1%
8596.58 2
< 0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9238
Missing (%)100.0%
Memory size81.3 KiB

소재지전체주소
Text

Distinct7568
Distinct (%)82.3%
Missing40
Missing (%)0.4%
Memory size72.3 KiB
2024-04-18T07:45:39.328196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length53
Mean length21.890737
Min length7

Characters and Unicode

Total characters201351
Distinct characters390
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6458 ?
Unique (%)70.2%

Sample

1st row대구광역시 중구 남산동 2466-2
2nd row대구광역시 중구 남산동 611-57 남문시장내
3rd row대구광역시 중구 대봉동 11-7 방천시장내
4th row대구광역시 중구 남산동 614-23 남문시장내
5th row대구광역시 중구 남산동 2475-18
ValueCountFrequency (%)
대구광역시 9197
22.5%
북구 2133
 
5.2%
달서구 1837
 
4.5%
수성구 1337
 
3.3%
동구 1253
 
3.1%
서구 910
 
2.2%
달성군 775
 
1.9%
남구 675
 
1.7%
대명동 487
 
1.2%
평리동 290
 
0.7%
Other values (7532) 21942
53.7%
2024-04-18T07:45:39.864021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40882
20.3%
구 17877
 
8.9%
1 10693
 
5.3%
동 10490
 
5.2%
대 10051
 
5.0%
시 9407
 
4.7%
역 9213
 
4.6%
광 9212
 
4.6%
- 7590
 
3.8%
2 5517
 
2.7%
Other values (380) 70419
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107080
53.2%
Decimal Number 45011
22.4%
Space Separator 40882
 
20.3%
Dash Punctuation 7590
 
3.8%
Uppercase Letter 369
 
0.2%
Other Punctuation 176
 
0.1%
Close Punctuation 111
 
0.1%
Open Punctuation 111
 
0.1%
Lowercase Letter 17
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 17877
16.7%
동 10490
 
9.8%
대 10051
 
9.4%
시 9407
 
8.8%
역 9213
 
8.6%
광 9212
 
8.6%
서 3015
 
2.8%
성 2856
 
2.7%
달 2694
 
2.5%
북 2186
 
2.0%
Other values (341) 30079
28.1%
Uppercase Letter
ValueCountFrequency (%)
A 148
40.1%
B 68
18.4%
T 55
 
14.9%
P 55
 
14.9%
C 13
 
3.5%
K 8
 
2.2%
O 6
 
1.6%
L 5
 
1.4%
D 4
 
1.1%
E 3
 
0.8%
Other values (3) 4
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 10693
23.8%
2 5517
12.3%
3 4658
10.3%
0 3976
 
8.8%
5 3777
 
8.4%
4 3774
 
8.4%
7 3304
 
7.3%
6 3300
 
7.3%
8 3055
 
6.8%
9 2957
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
b 7
41.2%
e 4
23.5%
a 2
 
11.8%
d 2
 
11.8%
s 1
 
5.9%
k 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 121
68.8%
/ 37
 
21.0%
@ 15
 
8.5%
. 2
 
1.1%
: 1
 
0.6%
Space Separator
ValueCountFrequency (%)
40882
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7590
100.0%
Close Punctuation
ValueCountFrequency (%)
) 111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107080
53.2%
Common 93885
46.6%
Latin 386
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 17877
16.7%
동 10490
 
9.8%
대 10051
 
9.4%
시 9407
 
8.8%
역 9213
 
8.6%
광 9212
 
8.6%
서 3015
 
2.8%
성 2856
 
2.7%
달 2694
 
2.5%
북 2186
 
2.0%
Other values (341) 30079
28.1%
Common
ValueCountFrequency (%)
40882
43.5%
1 10693
 
11.4%
- 7590
 
8.1%
2 5517
 
5.9%
3 4658
 
5.0%
0 3976
 
4.2%
5 3777
 
4.0%
4 3774
 
4.0%
7 3304
 
3.5%
6 3300
 
3.5%
Other values (10) 6414
 
6.8%
Latin
ValueCountFrequency (%)
A 148
38.3%
B 68
17.6%
T 55
 
14.2%
P 55
 
14.2%
C 13
 
3.4%
K 8
 
2.1%
b 7
 
1.8%
O 6
 
1.6%
L 5
 
1.3%
D 4
 
1.0%
Other values (9) 17
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 107080
53.2%
ASCII 94271
46.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40882
43.4%
1 10693
 
11.3%
- 7590
 
8.1%
2 5517
 
5.9%
3 4658
 
4.9%
0 3976
 
4.2%
5 3777
 
4.0%
4 3774
 
4.0%
7 3304
 
3.5%
6 3300
 
3.5%
Other values (29) 6800
 
7.2%
Hangul
ValueCountFrequency (%)
구 17877
16.7%
동 10490
 
9.8%
대 10051
 
9.4%
시 9407
 
8.8%
역 9213
 
8.6%
광 9212
 
8.6%
서 3015
 
2.8%
성 2856
 
2.7%
달 2694
 
2.5%
북 2186
 
2.0%
Other values (341) 30079
28.1%

도로명전체주소
Text

MISSING 

Distinct7135
Distinct (%)83.1%
Missing650
Missing (%)7.0%
Memory size72.3 KiB
2024-04-18T07:45:40.214241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length56
Mean length26.401607
Min length19

Characters and Unicode

Total characters226737
Distinct characters423
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6124 ?
Unique (%)71.3%

Sample

1st row대구광역시 중구 명륜로 70 (남산동)
2nd row대구광역시 중구 남산로13길 17 (남산동)
3rd row대구광역시 중구 남산로4길 58-6 (남산동)
4th row대구광역시 중구 동덕로26길 72 (삼덕동3가)
5th row대구광역시 중구 남산로7길 50 (남산동)
ValueCountFrequency (%)
대구광역시 8588
 
18.8%
북구 1843
 
4.0%
달서구 1814
 
4.0%
수성구 1277
 
2.8%
동구 1198
 
2.6%
서구 896
 
2.0%
달성군 730
 
1.6%
남구 659
 
1.4%
대명동 419
 
0.9%
1층 398
 
0.9%
Other values (5069) 27871
61.0%
2024-04-18T07:45:40.694163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37119
 
16.4%
구 17471
 
7.7%
동 10804
 
4.8%
대 10608
 
4.7%
시 8943
 
3.9%
역 8661
 
3.8%
광 8606
 
3.8%
1 8481
 
3.7%
로 8163
 
3.6%
( 8035
 
3.5%
Other values (413) 99846
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134137
59.2%
Space Separator 37119
 
16.4%
Decimal Number 34831
 
15.4%
Open Punctuation 8035
 
3.5%
Close Punctuation 8035
 
3.5%
Other Punctuation 2427
 
1.1%
Dash Punctuation 1807
 
0.8%
Uppercase Letter 318
 
0.1%
Lowercase Letter 23
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 17471
 
13.0%
동 10804
 
8.1%
대 10608
 
7.9%
시 8943
 
6.7%
역 8661
 
6.5%
광 8606
 
6.4%
로 8163
 
6.1%
길 5319
 
4.0%
서 3556
 
2.7%
달 3248
 
2.4%
Other values (370) 48758
36.3%
Uppercase Letter
ValueCountFrequency (%)
A 131
41.2%
B 67
21.1%
T 39
 
12.3%
P 38
 
11.9%
C 15
 
4.7%
O 8
 
2.5%
K 7
 
2.2%
L 5
 
1.6%
D 3
 
0.9%
H 2
 
0.6%
Other values (2) 3
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 8481
24.3%
2 4925
14.1%
3 3974
11.4%
4 3037
 
8.7%
5 3000
 
8.6%
0 2653
 
7.6%
6 2574
 
7.4%
7 2372
 
6.8%
9 1945
 
5.6%
8 1870
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
b 6
26.1%
e 5
21.7%
s 3
13.0%
a 3
13.0%
d 2
 
8.7%
f 1
 
4.3%
c 1
 
4.3%
k 1
 
4.3%
y 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 2379
98.0%
/ 26
 
1.1%
@ 14
 
0.6%
. 4
 
0.2%
· 2
 
0.1%
& 1
 
< 0.1%
: 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
37119
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8035
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8035
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1807
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134135
59.2%
Common 92259
40.7%
Latin 341
 
0.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 17471
 
13.0%
동 10804
 
8.1%
대 10608
 
7.9%
시 8943
 
6.7%
역 8661
 
6.5%
광 8606
 
6.4%
로 8163
 
6.1%
길 5319
 
4.0%
서 3556
 
2.7%
달 3248
 
2.4%
Other values (369) 48756
36.3%
Common
ValueCountFrequency (%)
37119
40.2%
1 8481
 
9.2%
( 8035
 
8.7%
) 8035
 
8.7%
2 4925
 
5.3%
3 3974
 
4.3%
4 3037
 
3.3%
5 3000
 
3.3%
0 2653
 
2.9%
6 2574
 
2.8%
Other values (12) 10426
 
11.3%
Latin
ValueCountFrequency (%)
A 131
38.4%
B 67
19.6%
T 39
 
11.4%
P 38
 
11.1%
C 15
 
4.4%
O 8
 
2.3%
K 7
 
2.1%
b 6
 
1.8%
L 5
 
1.5%
e 5
 
1.5%
Other values (11) 20
 
5.9%
Han
ValueCountFrequency (%)
內 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134135
59.2%
ASCII 92598
40.8%
CJK 2
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37119
40.1%
1 8481
 
9.2%
( 8035
 
8.7%
) 8035
 
8.7%
2 4925
 
5.3%
3 3974
 
4.3%
4 3037
 
3.3%
5 3000
 
3.2%
0 2653
 
2.9%
6 2574
 
2.8%
Other values (32) 10765
 
11.6%
Hangul
ValueCountFrequency (%)
구 17471
 
13.0%
동 10804
 
8.1%
대 10608
 
7.9%
시 8943
 
6.7%
역 8661
 
6.5%
광 8606
 
6.4%
로 8163
 
6.1%
길 5319
 
4.0%
서 3556
 
2.7%
달 3248
 
2.4%
Other values (369) 48756
36.3%
CJK
ValueCountFrequency (%)
內 2
100.0%
None
ValueCountFrequency (%)
· 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct1048
Distinct (%)27.9%
Missing5475
Missing (%)59.3%
Infinite0
Infinite (%)0.0%
Mean43444.982
Minimum41000
Maximum704953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.3 KiB
2024-04-18T07:45:40.838973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41091
Q141486
median41959
Q342656
95-th percentile42970
Maximum704953
Range663953
Interquartile range (IQR)1170

Descriptive statistics

Standard deviation30482.159
Coefficient of variation (CV)0.7016267
Kurtosis465.61885
Mean43444.982
Median Absolute Deviation (MAD)525
Skewness21.614212
Sum1.6348347 × 108
Variance9.2916203 × 108
MonotonicityNot monotonic
2024-04-18T07:45:40.992527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41485 29
 
0.3%
41843 28
 
0.3%
42617 27
 
0.3%
41598 27
 
0.3%
41582 27
 
0.3%
41418 26
 
0.3%
41472 22
 
0.2%
41490 21
 
0.2%
41412 20
 
0.2%
42974 20
 
0.2%
Other values (1038) 3516
38.1%
(Missing) 5475
59.3%
ValueCountFrequency (%)
41000 4
< 0.1%
41002 3
< 0.1%
41004 1
 
< 0.1%
41005 2
 
< 0.1%
41009 3
< 0.1%
41017 1
 
< 0.1%
41020 2
 
< 0.1%
41021 1
 
< 0.1%
41026 7
0.1%
41027 1
 
< 0.1%
ValueCountFrequency (%)
704953 2
< 0.1%
704923 1
 
< 0.1%
704917 1
 
< 0.1%
702802 2
< 0.1%
702767 1
 
< 0.1%
700819 1
 
< 0.1%
43023 1
 
< 0.1%
43022 1
 
< 0.1%
43019 1
 
< 0.1%
43018 3
< 0.1%

사업장명
Text

Distinct7126
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
2024-04-18T07:45:41.240782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length6.5007577
Min length1

Characters and Unicode

Total characters60054
Distinct characters696
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6006 ?
Unique (%)65.0%

Sample

1st row수정식육점
2nd row진주식육점
3rd row돈포크축산유통
4th row그린식육점
5th row남산식육점
ValueCountFrequency (%)
주식회사 142
 
1.3%
식육점 59
 
0.5%
축산 46
 
0.4%
정육 41
 
0.4%
한우 38
 
0.3%
대백마트 37
 
0.3%
매일유업 37
 
0.3%
고기마트 35
 
0.3%
정육코너 31
 
0.3%
남양유업 30
 
0.3%
Other values (7198) 10393
95.4%
2024-04-18T07:45:41.612903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 3048
 
5.1%
식 2728
 
4.5%
육 2552
 
4.2%
산 2038
 
3.4%
우 2010
 
3.3%
축 1700
 
2.8%
1652
 
2.8%
대 1648
 
2.7%
한 1633
 
2.7%
유 1318
 
2.2%
Other values (686) 39727
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55441
92.3%
Space Separator 1652
 
2.8%
Close Punctuation 957
 
1.6%
Open Punctuation 935
 
1.6%
Uppercase Letter 635
 
1.1%
Decimal Number 172
 
0.3%
Lowercase Letter 144
 
0.2%
Other Punctuation 96
 
0.2%
Dash Punctuation 18
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 3048
 
5.5%
식 2728
 
4.9%
육 2552
 
4.6%
산 2038
 
3.7%
우 2010
 
3.6%
축 1700
 
3.1%
대 1648
 
3.0%
한 1633
 
2.9%
유 1318
 
2.4%
트 1062
 
1.9%
Other values (619) 35704
64.4%
Uppercase Letter
ValueCountFrequency (%)
K 82
12.9%
S 72
11.3%
O 58
 
9.1%
D 52
 
8.2%
A 48
 
7.6%
F 42
 
6.6%
L 36
 
5.7%
M 36
 
5.7%
G 27
 
4.3%
C 25
 
3.9%
Other values (13) 157
24.7%
Lowercase Letter
ValueCountFrequency (%)
o 24
16.7%
e 14
 
9.7%
a 13
 
9.0%
m 9
 
6.2%
n 9
 
6.2%
d 8
 
5.6%
k 8
 
5.6%
c 8
 
5.6%
t 7
 
4.9%
s 7
 
4.9%
Other values (10) 37
25.7%
Decimal Number
ValueCountFrequency (%)
1 53
30.8%
2 30
17.4%
0 19
 
11.0%
3 15
 
8.7%
5 12
 
7.0%
8 12
 
7.0%
7 10
 
5.8%
6 9
 
5.2%
4 7
 
4.1%
9 5
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 46
47.9%
& 31
32.3%
, 8
 
8.3%
· 5
 
5.2%
＆ 4
 
4.2%
% 1
 
1.0%
! 1
 
1.0%
Math Symbol
ValueCountFrequency (%)
+ 2
50.0%
> 1
25.0%
< 1
25.0%
Space Separator
ValueCountFrequency (%)
1652
100.0%
Close Punctuation
ValueCountFrequency (%)
) 957
100.0%
Open Punctuation
ValueCountFrequency (%)
( 935
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55436
92.3%
Common 3834
 
6.4%
Latin 779
 
1.3%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 3048
 
5.5%
식 2728
 
4.9%
육 2552
 
4.6%
산 2038
 
3.7%
우 2010
 
3.6%
축 1700
 
3.1%
대 1648
 
3.0%
한 1633
 
2.9%
유 1318
 
2.4%
트 1062
 
1.9%
Other values (614) 35699
64.4%
Latin
ValueCountFrequency (%)
K 82
 
10.5%
S 72
 
9.2%
O 58
 
7.4%
D 52
 
6.7%
A 48
 
6.2%
F 42
 
5.4%
L 36
 
4.6%
M 36
 
4.6%
G 27
 
3.5%
C 25
 
3.2%
Other values (33) 301
38.6%
Common
ValueCountFrequency (%)
1652
43.1%
) 957
25.0%
( 935
24.4%
1 53
 
1.4%
. 46
 
1.2%
& 31
 
0.8%
2 30
 
0.8%
0 19
 
0.5%
- 18
 
0.5%
3 15
 
0.4%
Other values (14) 78
 
2.0%
Han
ValueCountFrequency (%)
名 1
20.0%
好 1
20.0%
三 1
20.0%
肉 1
20.0%
品 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55436
92.3%
ASCII 4604
 
7.7%
None 9
 
< 0.1%
CJK 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 3048
 
5.5%
식 2728
 
4.9%
육 2552
 
4.6%
산 2038
 
3.7%
우 2010
 
3.6%
축 1700
 
3.1%
대 1648
 
3.0%
한 1633
 
2.9%
유 1318
 
2.4%
트 1062
 
1.9%
Other values (614) 35699
64.4%
ASCII
ValueCountFrequency (%)
1652
35.9%
) 957
20.8%
( 935
20.3%
K 82
 
1.8%
S 72
 
1.6%
O 58
 
1.3%
1 53
 
1.2%
D 52
 
1.1%
A 48
 
1.0%
. 46
 
1.0%
Other values (55) 649
 
14.1%
None
ValueCountFrequency (%)
· 5
55.6%
＆ 4
44.4%
CJK
ValueCountFrequency (%)
名 1
20.0%
好 1
20.0%
三 1
20.0%
肉 1
20.0%
品 1
20.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct9238
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0130434 × 1013
Minimum2.003011 × 1013
Maximum2.022063 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.3 KiB
2024-04-18T07:45:41.752479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.003011 × 1013
5-th percentile2.0031121 × 1013
Q12.0081217 × 1013
median2.0131231 × 1013
Q32.0180511 × 1013
95-th percentile2.0210903 × 1013
Maximum2.022063 × 1013
Range1.9052005 × 1011
Interquartile range (IQR)9.9293727 × 1010

Descriptive statistics

Standard deviation5.5950738 × 1010
Coefficient of variation (CV)0.0027794105
Kurtosis-1.0760009
Mean2.0130434 × 1013
Median Absolute Deviation (MAD)4.9298992 × 1010
Skewness-0.20404302
Sum1.8596495 × 1017
Variance3.1304851 × 1021
MonotonicityNot monotonic
2024-04-18T07:45:42.676572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050803160140 1
 
< 0.1%
20140115112445 1
 
< 0.1%
20130207105157 1
 
< 0.1%
20130205182046 1
 
< 0.1%
20070612114523 1
 
< 0.1%
20200611144215 1
 
< 0.1%
20130412095647 1
 
< 0.1%
20120508175116 1
 
< 0.1%
20120514085937 1
 
< 0.1%
20120604090824 1
 
< 0.1%
Other values (9228) 9228
99.9%
ValueCountFrequency (%)
20030110111344 1
< 0.1%
20030116140716 1
< 0.1%
20030116145104 1
< 0.1%
20030121111007 1
< 0.1%
20030121113051 1
< 0.1%
20030121114925 1
< 0.1%
20030121131930 1
< 0.1%
20030124104524 1
< 0.1%
20030124110255 1
< 0.1%
20030124111031 1
< 0.1%
ValueCountFrequency (%)
20220630165127 1
< 0.1%
20220630154900 1
< 0.1%
20220630154519 1
< 0.1%
20220630095456 1
< 0.1%
20220629161220 1
< 0.1%
20220629111816 1
< 0.1%
20220629093944 1
< 0.1%
20220628152818 1
< 0.1%
20220628100907 1
< 0.1%
20220628095536 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
I
7569 
U
1669 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 7569
81.9%
U 1669
 
18.1%

Length

2024-04-18T07:45:42.906993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:45:43.033144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7569
81.9%
u 1669
 
18.1%

데이터갱신일자
Date

Distinct1075
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-02 02:40:00
2024-04-18T07:45:43.167925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:45:43.311567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
식육판매업
7683 
우유류판매업
818 
축산물유통전문판매업
 
363
식용란수집판매업
 
160
식육부산물전문판매업
 
160
Other values (2)
 
54

Length

Max length10
Median length5
Mean length5.4406798
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 7683
83.2%
우유류판매업 818
 
8.9%
축산물유통전문판매업 363
 
3.9%
식용란수집판매업 160
 
1.7%
식육부산물전문판매업 160
 
1.7%
축산물수입판매업 53
 
0.6%
<NA> 1
 
< 0.1%

Length

2024-04-18T07:45:43.454026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:45:43.562412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 7683
83.2%
우유류판매업 818
 
8.9%
축산물유통전문판매업 363
 
3.9%
식용란수집판매업 160
 
1.7%
식육부산물전문판매업 160
 
1.7%
축산물수입판매업 53
 
0.6%
na 1
 
< 0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct6505
Distinct (%)74.1%
Missing455
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean342621.01
Minimum326032.48
Maximum358697.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.3 KiB
2024-04-18T07:45:43.718374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326032.48
5-th percentile333489.08
Q1339340.99
median341873.52
Q3346188.16
95-th percentile353342.86
Maximum358697.07
Range32664.584
Interquartile range (IQR)6847.1677

Descriptive statistics

Standard deviation5468.7306
Coefficient of variation (CV)0.015961457
Kurtosis0.17244871
Mean342621.01
Median Absolute Deviation (MAD)3394.5799
Skewness0.12259905
Sum3.0092403 × 109
Variance29907014
MonotonicityNot monotonic
2024-04-18T07:45:43.862060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345282.157721 86
 
0.9%
339047.793379 46
 
0.5%
344047.164924 25
 
0.3%
339243.983122 15
 
0.2%
339454.576463 11
 
0.1%
344247.432366 10
 
0.1%
338678.797273 9
 
0.1%
341503.201075 9
 
0.1%
340425.612585 9
 
0.1%
339445.070729 9
 
0.1%
Other values (6495) 8554
92.6%
(Missing) 455
 
4.9%
ValueCountFrequency (%)
326032.481595 2
 
< 0.1%
326488.724749 1
 
< 0.1%
327085.648976 1
 
< 0.1%
327184.035391 1
 
< 0.1%
327211.930687 1
 
< 0.1%
327251.925896 1
 
< 0.1%
327260.013858 1
 
< 0.1%
327472.663129 6
0.1%
327486.570258 1
 
< 0.1%
327579.180386 1
 
< 0.1%
ValueCountFrequency (%)
358697.065553 1
< 0.1%
358555.809323 1
< 0.1%
358071.040315 1
< 0.1%
358028.908241 1
< 0.1%
357881.329153 1
< 0.1%
357870.136201 1
< 0.1%
356547.781557 1
< 0.1%
356534.131252 1
< 0.1%
356521.273092 1
< 0.1%
356490.807776 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct6503
Distinct (%)74.0%
Missing455
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean263495.59
Minimum237969.89
Maximum278391.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size81.3 KiB
2024-04-18T07:45:44.005926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237969.89
5-th percentile256756.93
Q1261041.74
median263500.14
Q3266124.19
95-th percentile271824.12
Maximum278391.73
Range40421.841
Interquartile range (IQR)5082.4496

Descriptive statistics

Standard deviation4853.7229
Coefficient of variation (CV)0.018420509
Kurtosis3.0008651
Mean263495.59
Median Absolute Deviation (MAD)2531.9837
Skewness-0.82339431
Sum2.3142818 × 109
Variance23558626
MonotonicityNot monotonic
2024-04-18T07:45:44.151712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
269562.068494 86
 
0.9%
258741.90218 46
 
0.5%
265132.987974 25
 
0.3%
268026.454531 15
 
0.2%
263574.691172 11
 
0.1%
265051.422829 10
 
0.1%
262761.163676 9
 
0.1%
260540.364298 9
 
0.1%
262298.536178 9
 
0.1%
260573.913697 9
 
0.1%
Other values (6493) 8554
92.6%
(Missing) 455
 
4.9%
ValueCountFrequency (%)
237969.888266 1
< 0.1%
239536.919741 1
< 0.1%
240203.513505 1
< 0.1%
240205.085494 1
< 0.1%
240358.722944 1
< 0.1%
240364.98418 1
< 0.1%
240398.246696 1
< 0.1%
240452.59556 1
< 0.1%
240550.011807 1
< 0.1%
240688.201094 1
< 0.1%
ValueCountFrequency (%)
278391.728963 1
< 0.1%
278194.325633 1
< 0.1%
277996.259128 1
< 0.1%
277604.54112 1
< 0.1%
277523.873354 1
< 0.1%
277492.526875 1
< 0.1%
277296.421136 1
< 0.1%
277204.50414 1
< 0.1%
277196.710643 1
< 0.1%
276003.175769 1
< 0.1%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
축산물판매업
9238 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물판매업 9238
100.0%

Length

2024-04-18T07:45:44.307767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:45:44.396273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물판매업 9238
100.0%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
식육판매업
7683 
우유류판매업
818 
축산물유통전문판매업
 
363
식용란수집판매업
 
160
식육부산물전문판매업
 
160
Other values (2)
 
54

Length

Max length10
Median length5
Mean length5.4406798
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 7683
83.2%
우유류판매업 818
 
8.9%
축산물유통전문판매업 363
 
3.9%
식용란수집판매업 160
 
1.7%
식육부산물전문판매업 160
 
1.7%
축산물수입판매업 53
 
0.6%
<NA> 1
 
< 0.1%

Length

2024-04-18T07:45:44.504292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:45:44.621587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 7683
83.2%
우유류판매업 818
 
8.9%
축산물유통전문판매업 363
 
3.9%
식용란수집판매업 160
 
1.7%
식육부산물전문판매업 160
 
1.7%
축산물수입판매업 53
 
0.6%
na 1
 
< 0.1%

축산일련번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
<NA>
8690 
0
 
548

Length

Max length4
Median length4
Mean length3.8220394
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> 8690
94.1%
0 548
 
5.9%

Length

2024-04-18T07:45:44.738937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:45:44.846958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8690
94.1%
0 548
 
5.9%

권리주체일련번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
000
8221 
L00
1005 
F00
 
5
010
 
4
100
 
3

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 8221
89.0%
L00 1005
 
10.9%
F00 5
 
0.1%
010 4
 
< 0.1%
100 3
 
< 0.1%

Length

2024-04-18T07:45:44.966456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:45:45.072918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 8221
89.0%
l00 1005
 
10.9%
f00 5
 
0.1%
010 4
 
< 0.1%
100 3
 
< 0.1%

총종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
<NA>
8690 
0
 
548

Length

Max length4
Median length4
Mean length3.8220394
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> 8690
94.1%
0 548
 
5.9%

Length

2024-04-18T07:45:45.203928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:45:45.300049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8690
94.1%
0 548
 
5.9%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
01축산판매업07_22_04_P341000034100000092001000720010730<NA>3폐업0002폐업20050803<NA><NA><NA>255-654872.1<NA>대구광역시 중구 남산동 2466-2<NA><NA>수정식육점20050803160140I2018-08-31 23:59:59.0식육판매업342751.657836263609.374284축산물판매업식육판매업<NA>000<NA>
12축산판매업07_22_04_P341000034100000092001000820010903<NA>3폐업0002폐업20101213<NA><NA><NA>253-826965.1<NA>대구광역시 중구 남산동 611-57 남문시장내<NA><NA>진주식육점20101213152658I2018-08-31 23:59:59.0식육판매업343611.539757263514.264428축산물판매업식육판매업<NA>000<NA>
23축산판매업07_22_04_P341000034100000092001001020011019<NA>3폐업0002폐업20060512<NA><NA><NA>256-4614139.37<NA>대구광역시 중구 대봉동 11-7 방천시장내<NA><NA>돈포크축산유통20060512132544I2018-08-31 23:59:59.0식육판매업345050.186164263585.764094축산물판매업식육판매업<NA>000<NA>
34축산판매업07_22_04_P341000034100000092001001120011217<NA>3폐업0002폐업20071108<NA><NA><NA>476-199631.58<NA>대구광역시 중구 남산동 614-23 남문시장내<NA><NA>그린식육점20071108145949I2018-08-31 23:59:59.0식육판매업343619.534089263555.129579축산물판매업식육판매업<NA>000<NA>
45축산판매업07_22_04_P341000034100000092001001220010411<NA>3폐업0002폐업20060512<NA><NA><NA>255-695660.45<NA>대구광역시 중구 남산동 2475-18<NA><NA>남산식육점20060512134209I2018-08-31 23:59:59.0식육판매업342716.136736263608.404184축산물판매업식육판매업<NA>000<NA>
56축산판매업07_22_04_P341000034100000092002000120020124<NA>3폐업0002폐업20220207<NA><NA><NA>253-330914.22<NA>대구광역시 중구 남산동 698-22 남문시장내대구광역시 중구 명륜로 70 (남산동)41968신미식육점20220207175247U2022-02-09 02:40:00.0식육판매업343722.34105263487.941195축산물판매업식육판매업00000
67축산판매업07_22_04_P341000034100000092002000420030408<NA>3폐업0002폐업20121024<NA><NA><NA><NA>180.0<NA>대구광역시 중구 남산동 2466-1 황실맨션대구광역시 중구 남산로13길 17 (남산동)41978대백정육점20121024173216I2018-08-31 23:59:59.0식육판매업342754.486268263376.49575축산물판매업식육판매업<NA>000<NA>
78축산판매업07_22_04_P341000034100000092002000520020504<NA>3폐업0002폐업20050103<NA><NA><NA>425-745179.32<NA>대구광역시 중구 대봉동 55-50<NA><NA>농협중앙회 고령농협공판장 11번 중매인 1호점 성보축산유통20050103171627I2018-08-31 23:59:59.0식육판매업344625.726336263421.522163축산물판매업식육판매업<NA>000<NA>
89축산판매업07_22_04_P341000034100000092002000620020823<NA>3폐업0002폐업20031205<NA><NA><NA>253-333263.87<NA>대구광역시 중구 남산동 611-91 남문시장내<NA><NA>광장축산20031205150331I2018-08-31 23:59:59.0식육판매업343570.515752263485.351409축산물판매업식육판매업<NA>000<NA>
910축산판매업07_22_04_P341000034100000092002000720021126<NA>3폐업0002폐업20040901<NA><NA><NA>255-498539.87<NA>대구광역시 중구 태평로1가 23-1<NA><NA>김무열순한우쇠고기본점20040901173010I2018-08-31 23:59:59.0식육판매업344466.007838264977.009084축산물판매업식육판매업<NA>000<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
92289229축산판매업07_22_04_P348000034800000092020000820200305<NA>1영업/정상0000정상<NA><NA><NA><NA><NA>16.78<NA>대구광역시 달성군 논공읍 금포리 1499-4대구광역시 달성군 논공읍 비슬로362길 25-1142974앤푸드20200305095523I2020-03-07 00:23:22.0축산물유통전문판매업328763.128704253683.480505축산물판매업축산물유통전문판매업<NA>000<NA>
92299230축산판매업07_22_04_P348000034800000092022000320220126<NA>1영업/정상0000정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 달성군 다사읍 죽곡리 9-1대구광역시 달성군 다사읍 왕선로 1542910참숯 우리한우 다사점20220203142958U2022-02-05 02:40:00.0식육판매업332172.392444263330.602125축산물판매업식육판매업00000
92309231축산판매업07_22_04_P348000034800000092022000420200330<NA>1영업/정상0000정상<NA><NA><NA><NA><NA>218.3<NA>대구광역시 달성군 다사읍 세천리 973-2대구광역시 달성군 다사읍 세천본1길 7-2142922주식회사 화승물산20220615171045U2022-06-18 02:40:00.0식육판매업333176.091229264978.978571축산물판매업식육판매업0L000
92319232축산판매업07_22_04_P348000034800000092022000120220114<NA>1영업/정상0000정상<NA><NA><NA><NA>053-719-26440.0<NA>대구광역시 달성군 논공읍 금포리 0대구광역시 달성군 논공읍 금강로1길 12-442974주식회사 푸코스클린팩토리20220116113928U2022-01-18 02:40:00.0축산물유통전문판매업<NA><NA>축산물판매업축산물유통전문판매업0L000
92329233축산판매업07_22_04_P348000034800000092021003820211227<NA>1영업/정상0000정상<NA><NA><NA><NA><NA>138.7<NA>대구광역시 달성군 화원읍 성산리 516-1대구광역시 달성군 화원읍 성화로 24-1, 1층42946예현축산유통20220621160258U2022-06-23 02:40:00.0식육판매업334641.701356256685.838337축산물판매업식육판매업00000
92339234축산판매업07_22_04_P348000034800000092022000220220125<NA>1영업/정상0000정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 달성군 논공읍 북리 803-49대구광역시 달성군 논공읍 논공로9길 7242979THE MEAT20220125093715I2022-01-27 00:22:39.0식육판매업330407.999084248797.52005축산물판매업식육판매업0F000
92349235축산판매업07_22_04_P348000034800000092020001020200319<NA>1영업/정상0000정상<NA><NA><NA><NA>053-639-860198.88<NA>대구광역시 달성군 화원읍 설화리 874-3대구광역시 달성군 화원읍 류목정길 7-1042957선유통20200319151105I2020-03-21 00:23:22.0식육판매업<NA><NA>축산물판매업식육판매업<NA>000<NA>
92359236축산판매업07_22_04_P348000034800000092020001720200529<NA>1영업/정상0000정상<NA><NA><NA><NA><NA>172.5<NA>대구광역시 달성군 옥포읍 본리리 920대구광역시 달성군 옥포읍 본리로16길 6-1, 1층42970영웅미트20200529095613I2020-05-31 00:23:29.0축산물유통전문판매업<NA><NA>축산물판매업축산물유통전문판매업<NA>000<NA>
92369237축산판매업07_22_04_P348000034800000092020001820200611<NA>1영업/정상0000정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 달성군 화원읍 명곡리 106대구광역시 달성군 화원읍 명곡로 12-5, 나동 1층 101호42960옥포식육점20200611141153I2020-06-13 00:23:18.0식육판매업335121.711703256367.61353축산물판매업식육판매업<NA>000<NA>
92379238축산판매업07_22_04_P348000034800000092020001320200421<NA>1영업/정상0000정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 달성군 다사읍 세천리 1572-9대구광역시 달성군 다사읍 세천본길 45-1342922(주)이움20200421093530I2020-04-23 00:23:20.0축산물유통전문판매업333418.909828265111.852339축산물판매업축산물유통전문판매업<NA>L00<NA>