Overview

Dataset statistics

Number of variables33
Number of observations143
Missing cells1204
Missing cells (%)25.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.5 KiB
Average record size in memory282.9 B

Variable types

Numeric7
Categorical11
DateTime4
Unsupported7
Text4

Dataset

Description23년06월_6270000_대구광역시_07_22_25_P_축산물운반업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098694&dataSetDetailId=DDI_0000098722&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
축산업무구분명 has constant value ""Constant
인허가취소일자 has 143 (100.0%) missing valuesMissing
폐업일자 has 83 (58.0%) missing valuesMissing
휴업시작일자 has 143 (100.0%) missing valuesMissing
휴업종료일자 has 143 (100.0%) missing valuesMissing
재개업일자 has 143 (100.0%) missing valuesMissing
소재지전화 has 75 (52.4%) missing valuesMissing
소재지우편번호 has 143 (100.0%) missing valuesMissing
도로명전체주소 has 4 (2.8%) missing valuesMissing
도로명우편번호 has 36 (25.2%) missing valuesMissing
업태구분명 has 143 (100.0%) missing valuesMissing
좌표정보(X) has 2 (1.4%) missing valuesMissing
좌표정보(Y) has 2 (1.4%) missing valuesMissing
축산물가공업구분명 has 143 (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
휴업시작일자 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
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
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 61 (42.7%) zerosZeros

Reproduction

Analysis started2023-12-10 18:36:29.388165
Analysis finished2023-12-10 18:36:30.158541
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct143
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72
Minimum1
Maximum143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T03:36:30.274396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.1
Q136.5
median72
Q3107.5
95-th percentile135.9
Maximum143
Range142
Interquartile range (IQR)71

Descriptive statistics

Standard deviation41.42463
Coefficient of variation (CV)0.57534209
Kurtosis-1.2
Mean72
Median Absolute Deviation (MAD)36
Skewness0
Sum10296
Variance1716
MonotonicityStrictly increasing
2023-12-11T03:36:30.488698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
2 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
Other values (133) 133
93.0%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
축산물운반업
143 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물운반업 143
100.0%

Length

2023-12-11T03:36:30.685159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:30.826439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 143
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
07_22_25_P
143 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_25_P
2nd row07_22_25_P
3rd row07_22_25_P
4th row07_22_25_P
5th row07_22_25_P

Common Values

ValueCountFrequency (%)
07_22_25_P 143
100.0%

Length

2023-12-11T03:36:30.992932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:31.132641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_25_p 143
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3451118.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T03:36:31.242090image/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 deviation22426.873
Coefficient of variation (CV)0.0064984354
Kurtosis-1.3029643
Mean3451118.9
Median Absolute Deviation (MAD)20000
Skewness-0.25955982
Sum4.9351 × 108
Variance5.0296464 × 108
MonotonicityIncreasing
2023-12-11T03:36:31.396915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 29
20.3%
3450000 27
18.9%
3480000 25
17.5%
3420000 23
16.1%
3430000 18
12.6%
3460000 12
8.4%
3410000 5
 
3.5%
3440000 4
 
2.8%
ValueCountFrequency (%)
3410000 5
 
3.5%
3420000 23
16.1%
3430000 18
12.6%
3440000 4
 
2.8%
3450000 27
18.9%
3460000 12
8.4%
3470000 29
20.3%
3480000 25
17.5%
ValueCountFrequency (%)
3480000 25
17.5%
3470000 29
20.3%
3460000 12
8.4%
3450000 27
18.9%
3440000 4
 
2.8%
3430000 18
12.6%
3420000 23
16.1%
3410000 5
 
3.5%

관리번호
Real number (ℝ)

UNIQUE 

Distinct143
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4511189 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T03:36:31.637066image/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 deviation2.2426873 × 1015
Coefficient of variation (CV)0.0064984354
Kurtosis-1.3029643
Mean3.4511189 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.25955982
Sum-5.9892321 × 1018
Variance5.0296464 × 1030
MonotonicityNot monotonic
2023-12-11T03:36:31.863591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000000820050001 1
 
0.7%
341000000820020001 1
 
0.7%
347000000820210002 1
 
0.7%
347000000820230002 1
 
0.7%
347000000820230001 1
 
0.7%
347000000820020002 1
 
0.7%
347000000820070002 1
 
0.7%
347000000820130001 1
 
0.7%
347000000820150001 1
 
0.7%
347000000820180001 1
 
0.7%
Other values (133) 133
93.0%
ValueCountFrequency (%)
341000000820020001 1
0.7%
341000000820050001 1
0.7%
341000000820080001 1
0.7%
341000000820140001 1
0.7%
341000000820170001 1
0.7%
342000000820080001 1
0.7%
342000000820090001 1
0.7%
342000000820090002 1
0.7%
342000000820090003 1
0.7%
342000000820120001 1
0.7%
ValueCountFrequency (%)
348000000820230002 1
0.7%
348000000820230001 1
0.7%
348000000820220003 1
0.7%
348000000820220002 1
0.7%
348000000820220001 1
0.7%
348000000820210002 1
0.7%
348000000820210001 1
0.7%
348000000820200001 1
0.7%
348000000820180001 1
0.7%
348000000820160005 1
0.7%

인허가일자
Date

Distinct127
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1998-08-07 00:00:00
Maximum2023-05-17 00:00:00
2023-12-11T03:36:32.080847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:36:32.293571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
82 
3
52 
4
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 82
57.3%
3 52
36.4%
4 9
 
6.3%

Length

2023-12-11T03:36:32.479049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:32.615932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 82
57.3%
3 52
36.4%
4 9
 
6.3%

영업상태명
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업/정상
82 
폐업
52 
취소/말소/만료/정지/중지
9 

Length

Max length14
Median length5
Mean length4.4755245
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 82
57.3%
폐업 52
36.4%
취소/말소/만료/정지/중지 9
 
6.3%

Length

2023-12-11T03:36:32.757968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:32.920913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 82
57.3%
폐업 52
36.4%
취소/말소/만료/정지/중지 9
 
6.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
82 
2
52 
4
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 82
57.3%
2 52
36.4%
4 9
 
6.3%

Length

2023-12-11T03:36:33.098025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:33.247751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 82
57.3%
2 52
36.4%
4 9
 
6.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
정상
82 
폐업
52 
말소
9 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 82
57.3%
폐업 52
36.4%
말소 9
 
6.3%

Length

2023-12-11T03:36:33.414041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:33.573843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 82
57.3%
폐업 52
36.4%
말소 9
 
6.3%

폐업일자
Date

MISSING 

Distinct51
Distinct (%)85.0%
Missing83
Missing (%)58.0%
Memory size1.2 KiB
Minimum2004-11-20 00:00:00
Maximum2023-05-31 00:00:00
2023-12-11T03:36:33.735826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:36:33.972520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

소재지전화
Text

MISSING 

Distinct66
Distinct (%)97.1%
Missing75
Missing (%)52.4%
Memory size1.2 KiB
2023-12-11T03:36:34.385177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.1470588
Min length7

Characters and Unicode

Total characters622
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)94.1%

Sample

1st row5875605
2nd row426-5525
3rd row245-2040
4th row2565017
5th row053-962-8800
ValueCountFrequency (%)
7680506 2
 
2.9%
5875605 2
 
2.9%
053)614-4221 1
 
1.5%
053-586-4747 1
 
1.5%
584-5262 1
 
1.5%
523-1800 1
 
1.5%
287-3113 1
 
1.5%
607-5038 1
 
1.5%
584-1188 1
 
1.5%
753-4312 1
 
1.5%
Other values (56) 56
82.4%
2023-12-11T03:36:34.952951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 106
17.0%
0 82
13.2%
- 66
10.6%
3 63
10.1%
1 57
9.2%
6 54
8.7%
2 47
7.6%
4 44
7.1%
8 39
 
6.3%
7 37
 
5.9%
Other values (2) 27
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 554
89.1%
Dash Punctuation 66
 
10.6%
Close Punctuation 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 106
19.1%
0 82
14.8%
3 63
11.4%
1 57
10.3%
6 54
9.7%
2 47
8.5%
4 44
7.9%
8 39
 
7.0%
7 37
 
6.7%
9 25
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 622
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 106
17.0%
0 82
13.2%
- 66
10.6%
3 63
10.1%
1 57
9.2%
6 54
8.7%
2 47
7.6%
4 44
7.1%
8 39
 
6.3%
7 37
 
5.9%
Other values (2) 27
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 622
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 106
17.0%
0 82
13.2%
- 66
10.6%
3 63
10.1%
1 57
9.2%
6 54
8.7%
2 47
7.6%
4 44
7.1%
8 39
 
6.3%
7 37
 
5.9%
Other values (2) 27
 
4.3%

소재지면적
Real number (ℝ)

ZEROS 

Distinct74
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.775524
Minimum0
Maximum1682
Zeros61
Zeros (%)42.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T03:36:35.137725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median21
Q368.925
95-th percentile399.714
Maximum1682
Range1682
Interquartile range (IQR)68.925

Descriptive statistics

Standard deviation183.31415
Coefficient of variation (CV)2.4191736
Kurtosis42.818517
Mean75.775524
Median Absolute Deviation (MAD)21
Skewness5.6906235
Sum10835.9
Variance33604.078
MonotonicityNot monotonic
2023-12-11T03:36:35.379268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 61
42.7%
45.1 5
 
3.5%
10.0 3
 
2.1%
21.0 2
 
1.4%
99.0 2
 
1.4%
43.61 2
 
1.4%
93.0 1
 
0.7%
20.0 1
 
0.7%
9.0 1
 
0.7%
680.0 1
 
0.7%
Other values (64) 64
44.8%
ValueCountFrequency (%)
0.0 61
42.7%
1.0 1
 
0.7%
9.0 1
 
0.7%
10.0 3
 
2.1%
12.0 1
 
0.7%
15.0 1
 
0.7%
16.77 1
 
0.7%
20.0 1
 
0.7%
21.0 2
 
1.4%
21.19 1
 
0.7%
ValueCountFrequency (%)
1682.0 1
0.7%
680.0 1
0.7%
617.0 1
0.7%
595.5 1
0.7%
504.0 1
0.7%
492.36 1
0.7%
449.0 1
0.7%
410.38 1
0.7%
303.72 1
0.7%
291.96 1
0.7%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

소재지전체주소
Text

Distinct124
Distinct (%)87.3%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2023-12-11T03:36:35.824121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length23.429577
Min length18

Characters and Unicode

Total characters3327
Distinct characters138
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)79.6%

Sample

1st row대구광역시 중구 종로*가 **번지
2nd row대구광역시 중구 봉산동 ***-**번지
3rd row대구광역시 중구 동인동*가 ***-**번지
4th row대구광역시 중구 계산동*가 현대백화점대구점 지하*층
5th row대구광역시 중구 남산동 ****-*번지
ValueCountFrequency (%)
대구광역시 142
21.5%
76
 
11.5%
번지 65
 
9.9%
달서구 29
 
4.4%
북구 26
 
3.9%
달성군 25
 
3.8%
호 24
 
3.6%
동구 23
 
3.5%
서구 18
 
2.7%
수성구 12
 
1.8%
Other values (114) 219
33.2%
2023-12-11T03:36:36.679219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 706
21.2%
637
19.1%
구 265
 
8.0%
동 162
 
4.9%
대 150
 
4.5%
시 145
 
4.4%
역 142
 
4.3%
광 142
 
4.3%
- 105
 
3.2%
지 72
 
2.2%
Other values (128) 801
24.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1878
56.4%
Other Punctuation 706
 
21.2%
Space Separator 637
 
19.1%
Dash Punctuation 105
 
3.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 265
14.1%
동 162
 
8.6%
대 150
 
8.0%
시 145
 
7.7%
역 142
 
7.6%
광 142
 
7.6%
지 72
 
3.8%
번 65
 
3.5%
서 60
 
3.2%
달 56
 
3.0%
Other values (124) 619
33.0%
Other Punctuation
ValueCountFrequency (%)
* 706
100.0%
Space Separator
ValueCountFrequency (%)
637
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 105
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1878
56.4%
Common 1448
43.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 265
14.1%
동 162
 
8.6%
대 150
 
8.0%
시 145
 
7.7%
역 142
 
7.6%
광 142
 
7.6%
지 72
 
3.8%
번 65
 
3.5%
서 60
 
3.2%
달 56
 
3.0%
Other values (124) 619
33.0%
Common
ValueCountFrequency (%)
* 706
48.8%
637
44.0%
- 105
 
7.3%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1878
56.4%
ASCII 1449
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 706
48.7%
637
44.0%
- 105
 
7.2%
B 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 265
14.1%
동 162
 
8.6%
대 150
 
8.0%
시 145
 
7.7%
역 142
 
7.6%
광 142
 
7.6%
지 72
 
3.8%
번 65
 
3.5%
서 60
 
3.2%
달 56
 
3.0%
Other values (124) 619
33.0%

도로명전체주소
Text

MISSING 

Distinct123
Distinct (%)88.5%
Missing4
Missing (%)2.8%
Memory size1.2 KiB
2023-12-11T03:36:37.191729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length29.906475
Min length19

Characters and Unicode

Total characters4157
Distinct characters189
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

Unique116 ?
Unique (%)83.5%

Sample

1st row대구광역시 중구 중앙대로**길 ** (종로*가)
2nd row대구광역시 중구 봉산문화*길 * (봉산동)
3rd row대구광역시 중구 동덕로**길 ** (동인동*가, 삼익아파트)
4th row대구광역시 중구 달구벌대로 ****, 지하*층 (계산동*가)
5th row대구광역시 중구 중앙대로 *** (남산동)
ValueCountFrequency (%)
대구광역시 139
 
16.9%
133
 
16.2%
호 46
 
5.6%
달서구 28
 
3.4%
북구 27
 
3.3%
동구 23
 
2.8%
달성군 23
 
2.8%
층 20
 
2.4%
서구 18
 
2.2%
동 16
 
1.9%
Other values (214) 348
42.4%
2023-12-11T03:36:37.850986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 691
16.6%
682
16.4%
구 283
 
6.8%
동 192
 
4.6%
대 178
 
4.3%
시 145
 
3.5%
역 140
 
3.4%
로 139
 
3.3%
광 139
 
3.3%
( 124
 
3.0%
Other values (179) 1444
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2422
58.3%
Other Punctuation 778
 
18.7%
Space Separator 682
 
16.4%
Open Punctuation 124
 
3.0%
Close Punctuation 124
 
3.0%
Dash Punctuation 21
 
0.5%
Uppercase Letter 5
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 283
 
11.7%
동 192
 
7.9%
대 178
 
7.3%
시 145
 
6.0%
역 140
 
5.8%
로 139
 
5.7%
광 139
 
5.7%
서 79
 
3.3%
호 70
 
2.9%
성 67
 
2.8%
Other values (168) 990
40.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
40.0%
B 1
20.0%
D 1
20.0%
G 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 691
88.8%
, 87
 
11.2%
Space Separator
ValueCountFrequency (%)
682
100.0%
Open Punctuation
ValueCountFrequency (%)
( 124
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2422
58.3%
Common 1729
41.6%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 283
 
11.7%
동 192
 
7.9%
대 178
 
7.3%
시 145
 
6.0%
역 140
 
5.8%
로 139
 
5.7%
광 139
 
5.7%
서 79
 
3.3%
호 70
 
2.9%
성 67
 
2.8%
Other values (168) 990
40.9%
Common
ValueCountFrequency (%)
* 691
40.0%
682
39.4%
( 124
 
7.2%
) 124
 
7.2%
, 87
 
5.0%
- 21
 
1.2%
Latin
ValueCountFrequency (%)
A 2
33.3%
B 1
16.7%
D 1
16.7%
G 1
16.7%
a 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2422
58.3%
ASCII 1735
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 691
39.8%
682
39.3%
( 124
 
7.1%
) 124
 
7.1%
, 87
 
5.0%
- 21
 
1.2%
A 2
 
0.1%
B 1
 
0.1%
D 1
 
0.1%
G 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 283
 
11.7%
동 192
 
7.9%
대 178
 
7.3%
시 145
 
6.0%
역 140
 
5.8%
로 139
 
5.7%
광 139
 
5.7%
서 79
 
3.3%
호 70
 
2.9%
성 67
 
2.8%
Other values (168) 990
40.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct82
Distinct (%)76.6%
Missing36
Missing (%)25.2%
Infinite0
Infinite (%)0.0%
Mean42007.477
Minimum41035
Maximum43010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T03:36:38.110230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41035
5-th percentile41089.2
Q141463.5
median41864
Q342712
95-th percentile42927.7
Maximum43010
Range1975
Interquartile range (IQR)1248.5

Descriptive statistics

Standard deviation650.16956
Coefficient of variation (CV)0.015477472
Kurtosis-1.4353327
Mean42007.477
Median Absolute Deviation (MAD)597
Skewness0.13536942
Sum4494800
Variance422720.46
MonotonicityNot monotonic
2023-12-11T03:36:38.345807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41754 7
 
4.9%
42927 6
 
4.2%
42722 5
 
3.5%
41502 2
 
1.4%
41412 2
 
1.4%
41422 2
 
1.4%
41755 2
 
1.4%
41765 2
 
1.4%
42649 2
 
1.4%
42914 2
 
1.4%
Other values (72) 75
52.4%
(Missing) 36
25.2%
ValueCountFrequency (%)
41035 1
0.7%
41065 1
0.7%
41073 1
0.7%
41078 1
0.7%
41082 1
0.7%
41085 1
0.7%
41099 1
0.7%
41112 1
0.7%
41123 2
1.4%
41125 1
0.7%
ValueCountFrequency (%)
43010 1
 
0.7%
42971 1
 
0.7%
42954 1
 
0.7%
42946 1
 
0.7%
42943 1
 
0.7%
42928 1
 
0.7%
42927 6
4.2%
42914 2
 
1.4%
42907 1
 
0.7%
42905 1
 
0.7%

사업장명
Text

Distinct121
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T03:36:38.787832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.1678322
Min length2

Characters and Unicode

Total characters882
Distinct characters162
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

Unique109 ?
Unique (%)76.2%

Sample

1st row(주)일성화물
2nd row개별화물
3rd rowMJ물류
4th row(주)코리아택배물류
5th row대구우체국
ValueCountFrequency (%)
개별화물 9
 
5.8%
주식회사 9
 
5.8%
개인용달 4
 
2.6%
mj물류 3
 
1.9%
주)일성로지스 2
 
1.3%
주)성진냉동 2
 
1.3%
동원물산 2
 
1.3%
주)일성화물 2
 
1.3%
그린로직스 2
 
1.3%
미소물류 2
 
1.3%
Other values (116) 119
76.3%
2023-12-11T03:36:39.462825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 63
 
7.1%
) 58
 
6.6%
( 57
 
6.5%
물 51
 
5.8%
류 32
 
3.6%
스 21
 
2.4%
화 19
 
2.2%
운 18
 
2.0%
이 17
 
1.9%
성 17
 
1.9%
Other values (152) 529
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 734
83.2%
Close Punctuation 58
 
6.6%
Open Punctuation 57
 
6.5%
Space Separator 13
 
1.5%
Decimal Number 10
 
1.1%
Uppercase Letter 8
 
0.9%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 63
 
8.6%
물 51
 
6.9%
류 32
 
4.4%
스 21
 
2.9%
화 19
 
2.6%
운 18
 
2.5%
이 17
 
2.3%
성 17
 
2.3%
개 16
 
2.2%
대 16
 
2.2%
Other values (138) 464
63.2%
Decimal Number
ValueCountFrequency (%)
5 3
30.0%
1 2
20.0%
8 2
20.0%
9 1
 
10.0%
2 1
 
10.0%
6 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
J 3
37.5%
M 3
37.5%
D 1
 
12.5%
G 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 734
83.2%
Common 140
 
15.9%
Latin 8
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 63
 
8.6%
물 51
 
6.9%
류 32
 
4.4%
스 21
 
2.9%
화 19
 
2.6%
운 18
 
2.5%
이 17
 
2.3%
성 17
 
2.3%
개 16
 
2.2%
대 16
 
2.2%
Other values (138) 464
63.2%
Common
ValueCountFrequency (%)
) 58
41.4%
( 57
40.7%
13
 
9.3%
5 3
 
2.1%
1 2
 
1.4%
. 2
 
1.4%
8 2
 
1.4%
9 1
 
0.7%
2 1
 
0.7%
6 1
 
0.7%
Latin
ValueCountFrequency (%)
J 3
37.5%
M 3
37.5%
D 1
 
12.5%
G 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 734
83.2%
ASCII 148
 
16.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 63
 
8.6%
물 51
 
6.9%
류 32
 
4.4%
스 21
 
2.9%
화 19
 
2.6%
운 18
 
2.5%
이 17
 
2.3%
성 17
 
2.3%
개 16
 
2.2%
대 16
 
2.2%
Other values (138) 464
63.2%
ASCII
ValueCountFrequency (%)
) 58
39.2%
( 57
38.5%
13
 
8.8%
5 3
 
2.0%
J 3
 
2.0%
M 3
 
2.0%
1 2
 
1.4%
. 2
 
1.4%
8 2
 
1.4%
9 1
 
0.7%
Other values (4) 4
 
2.7%

최종수정시점
Date

UNIQUE 

Distinct143
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2003-06-16 09:57:21
Maximum2023-06-29 17:04:39
2023-12-11T03:36:39.713539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:36:40.363257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
74 
U
69 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 74
51.7%
U 69
48.3%

Length

2023-12-11T03:36:40.628971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:40.810118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 74
51.7%
u 69
48.3%

데이터갱신일자
Date

Distinct84
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-07-01 02:40:00
2023-12-11T03:36:40.994116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:36:41.233181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct120
Distinct (%)85.1%
Missing2
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean341627.58
Minimum325882.67
Maximum355567.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T03:36:41.487786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325882.67
5-th percentile332426.06
Q1337329.21
median340180.54
Q3345318.29
95-th percentile354562.01
Maximum355567.69
Range29685.027
Interquartile range (IQR)7989.0791

Descriptive statistics

Standard deviation6617.6526
Coefficient of variation (CV)0.019370955
Kurtosis-0.28219082
Mean341627.58
Median Absolute Deviation (MAD)4051.8366
Skewness0.43241367
Sum48169489
Variance43793327
MonotonicityNot monotonic
2023-12-11T03:36:41.676522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
338412.280970161 7
 
4.9%
335153.914138781 5
 
3.5%
337329.213272566 5
 
3.5%
354807.053275416 3
 
2.1%
340411.77176403 2
 
1.4%
333920.608530076 2
 
1.4%
337384.429844836 2
 
1.4%
352275.472365567 2
 
1.4%
346671.304307472 2
 
1.4%
346783.821105524 1
 
0.7%
Other values (110) 110
76.9%
(Missing) 2
 
1.4%
ValueCountFrequency (%)
325882.665956232 1
0.7%
327299.692057158 1
0.7%
329289.647519192 1
0.7%
330128.309210262 1
0.7%
331202.514651903 1
0.7%
332084.144439394 1
0.7%
332298.355065333 1
0.7%
332426.05670019 1
0.7%
332496.726491339 1
0.7%
333486.297605394 1
0.7%
ValueCountFrequency (%)
355567.693373811 1
 
0.7%
355444.760055803 1
 
0.7%
354981.403949833 1
 
0.7%
354976.751149176 1
 
0.7%
354807.053275416 3
2.1%
354562.01451466 1
 
0.7%
354481.928515177 1
 
0.7%
354427.579139808 1
 
0.7%
353978.383780923 1
 
0.7%
353971.7813759 1
 
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct120
Distinct (%)85.1%
Missing2
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean263524.27
Minimum240636.85
Maximum274508.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T03:36:41.887220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240636.85
5-th percentile256648.07
Q1261315.58
median264257.42
Q3265463.04
95-th percentile270552.99
Maximum274508.22
Range33871.366
Interquartile range (IQR)4147.4628

Descriptive statistics

Standard deviation4577.7123
Coefficient of variation (CV)0.017371122
Kurtosis5.9502121
Mean263524.27
Median Absolute Deviation (MAD)2004.0515
Skewness-1.3764738
Sum37156922
Variance20955450
MonotonicityNot monotonic
2023-12-11T03:36:42.120974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264257.421958859 7
 
4.9%
264331.984614683 5
 
3.5%
260416.780232605 5
 
3.5%
264751.958416552 3
 
2.1%
272600.06388059 2
 
1.4%
261405.687893304 2
 
1.4%
260371.115494005 2
 
1.4%
264925.058163558 2
 
1.4%
264957.682619359 2
 
1.4%
260509.114279902 1
 
0.7%
Other values (110) 110
76.9%
(Missing) 2
 
1.4%
ValueCountFrequency (%)
240636.852024454 1
0.7%
244838.382090959 1
0.7%
248845.861217693 1
0.7%
254318.700070401 1
0.7%
256070.297672268 1
0.7%
256442.855336906 1
0.7%
256643.317146408 1
0.7%
256648.067692009 1
0.7%
257174.059182861 1
0.7%
257287.881227306 1
0.7%
ValueCountFrequency (%)
274508.218106082 1
0.7%
272723.483445574 1
0.7%
272600.06388059 2
1.4%
272219.113571771 1
0.7%
272092.197029608 1
0.7%
270560.459102708 1
0.7%
270552.994262756 1
0.7%
269777.145938524 1
0.7%
269400.831440846 1
0.7%
269397.824527494 1
0.7%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
축산물운반업
143 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물운반업 143
100.0%

Length

2023-12-11T03:36:42.347224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:42.516019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 143
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing143
Missing (%)100.0%
Memory size1.4 KiB

축산일련번호
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
97 
0
46 

Length

Max length4
Median length4
Mean length3.034965
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> 97
67.8%
0 46
32.2%

Length

2023-12-11T03:36:42.729487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:42.911975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
67.8%
0 46
32.2%

권리주체일련번호
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
000
79 
L00
64 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 79
55.2%
L00 64
44.8%

Length

2023-12-11T03:36:43.083026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:43.239260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 79
55.2%
l00 64
44.8%

총직원수
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
97 
0
46 

Length

Max length4
Median length4
Mean length3.034965
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> 97
67.8%
0 46
32.2%

Length

2023-12-11T03:36:43.426756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:36:43.611571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
67.8%
0 46
32.2%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
01축산물운반업07_22_25_P34100003410000008200500012005-03-24<NA>3폐업2폐업2015-11-03<NA><NA><NA>587560565.6<NA>대구광역시 중구 종로*가 **번지대구광역시 중구 중앙대로**길 ** (종로*가)41934(주)일성화물2015-11-03 10:15:03I2018-08-31 23:59:59<NA>343638.059396264281.159118축산물운반업<NA><NA>L00<NA>
12축산물운반업07_22_25_P34100003410000008200200012002-10-12<NA>3폐업2폐업2019-01-17<NA><NA><NA>426-552541.06<NA>대구광역시 중구 봉산동 ***-**번지대구광역시 중구 봉산문화*길 * (봉산동)41959개별화물2019-01-17 18:17:54U2019-01-19 02:40:00<NA>344232.376733263656.676438축산물운반업<NA><NA>000<NA>
23축산물운반업07_22_25_P34100003410000008201700012017-02-28<NA>3폐업2폐업2017-04-20<NA><NA><NA><NA>21.19<NA>대구광역시 중구 동인동*가 ***-**번지대구광역시 중구 동덕로**길 ** (동인동*가, 삼익아파트)41907MJ물류2017-04-20 17:34:04I2018-08-31 23:59:59<NA>345318.292408264611.160388축산물운반업<NA><NA>000<NA>
34축산물운반업07_22_25_P34100003410000008201400012014-03-17<NA>3폐업2폐업2019-04-19<NA><NA><NA>245-204026.45<NA>대구광역시 중구 계산동*가 현대백화점대구점 지하*층대구광역시 중구 달구벌대로 ****, 지하*층 (계산동*가)41936(주)코리아택배물류2019-04-19 16:45:55U2019-04-21 02:40:00<NA>343588.735555264119.01075축산물운반업<NA><NA>L00<NA>
45축산물운반업07_22_25_P34100003410000008200800012008-11-13<NA>3폐업2폐업2011-12-29<NA><NA><NA>2565017175.44<NA>대구광역시 중구 남산동 ****-*번지대구광역시 중구 중앙대로 *** (남산동)41968대구우체국2011-12-29 18:13:49I2018-08-31 23:59:59<NA>343570.613159263072.964308축산물운반업<NA><NA>000<NA>
56축산물운반업07_22_25_P34200003420000008202000012020-02-19<NA>1영업/정상0정상<NA><NA><NA><NA>053-962-88000.0<NA>대구광역시 동구 동호동 ***-*대구광역시 동구 동호로*길 *-* (동호동)41085(주)디비로지스2020-10-19 10:13:09U2020-10-21 02:40:00<NA>355444.760056264104.497088축산물운반업<NA><NA>L00<NA>
67축산물운반업07_22_25_P34200003420000008202100032021-11-30<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 동구 신평동 **-**대구광역시 동구 신덕로 ***(신평동)41123조선에프앤비2022-10-18 13:59:14U2022-10-20 02:40:00<NA>352677.090755266082.910074축산물운반업<NA>0L000
78축산물운반업07_22_25_P34200003420000008202100022021-05-12<NA>1영업/정상0정상<NA><NA><NA><NA>31404795582.28<NA>대구광역시 동구 신천동 **-* ***-*호대구광역시 동구 동대구로 ***, 대구빌딩 ***-*호 (신천동)41256주식회사 재성디앤에스2023-06-29 17:04:39U2023-07-01 02:40:00<NA>346671.304307264957.682619축산물운반업<NA>0L000
89축산물운반업07_22_25_P34200003420000008201700022017-09-14<NA>3폐업2폐업2019-02-28<NA><NA><NA><NA>0.0<NA>대구광역시 동구 각산동 ***번지 ***동 ****호대구광역시 동구 경안로 ***, ***동 ****호 (각산동, 각산푸르지오*단지)41073개인용달2019-03-06 11:03:59U2019-03-08 02:40:00<NA>354981.40395265211.000263축산물운반업<NA><NA>000<NA>
910축산물운반업07_22_25_P34200003420000008200800012008-02-20<NA>1영업/정상0정상<NA><NA><NA><NA>759482849.5<NA>대구광역시 동구 방촌동 ****-***대구광역시 동구 화랑로 *** (방촌동)<NA>(주)성진냉동2022-07-22 10:14:24U2022-07-24 02:40:00<NA>350504.394278265405.168322축산물운반업<NA>0L000
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
133134축산물운반업07_22_25_P34800003480000008200400032004-08-16<NA>3폐업2폐업2004-11-20<NA><NA><NA>592-66460.0<NA>대구광역시 달성군 화원읍 천내리 ***-*번지대구광역시 달성군 화원읍 성천로 ***<NA>(주)우유운수2006-05-19 11:22:12I2018-08-31 23:59:59<NA>335033.043397257287.881227축산물운반업<NA><NA>000<NA>
134135축산물운반업07_22_25_P34800003480000008200600012006-05-24<NA>3폐업2폐업2008-01-24<NA><NA><NA>588-5262122.0<NA>대구광역시 달성군 다사읍 서재리 ***-*번지대구광역시 달성군 다사읍 서재로 ***<NA>고령축협한우판매장2008-01-25 10:23:50I2018-08-31 23:59:59<NA>335235.3351264720.133098축산물운반업<NA><NA>000<NA>
135136축산물운반업07_22_25_P34800003480000008200800022008-11-03<NA>3폐업2폐업2020-11-24<NA><NA><NA>637-642110.0<NA>대구광역시 달성군 화원읍 명곡리 ***-*대구광역시 달성군 화원읍 비슬로***길 **-*<NA>(주)미담2020-11-24 11:20:44U2020-11-26 02:40:00<NA>334665.403862256442.855337축산물운반업<NA><NA>L00<NA>
136137축산물운반업07_22_25_P34800003480000008200800032008-11-28<NA>3폐업2폐업2020-11-24<NA><NA><NA>614-30070.0<NA>대구광역시 달성군 현풍읍 원교리 **대구광역시 달성군 현풍읍 비슬로***길 *<NA>달성우체국2020-11-24 11:19:44U2020-11-26 02:40:00<NA>330128.30921244838.382091축산물운반업<NA><NA>000<NA>
137138축산물운반업07_22_25_P34800003480000008201600012016-04-05<NA>3폐업2폐업2020-11-26<NA><NA><NA>053-593-2330617.0<NA>대구광역시 달성군 다사읍 서재리 ****-*대구광역시 달성군 다사읍 서재로**길 **42928(주)한스미트2020-11-26 15:11:37U2020-11-28 02:40:00<NA>334890.551707264040.034795축산물운반업<NA><NA>L00<NA>
138139축산물운반업07_22_25_P34800003480000008201600032016-06-21<NA>3폐업2폐업2018-08-03<NA><NA><NA><NA>45.1<NA>대구광역시 달성군 다사읍 서재리 ***번지대구광역시 달성군 다사읍 서재로 **42927경북축산2018-08-03 10:50:13I2018-08-31 23:59:59<NA>335153.914139264331.984615축산물운반업<NA><NA>000<NA>
139140축산물운반업07_22_25_P34800003480000008199800011998-10-22<NA>4취소/말소/만료/정지/중지4말소2021-03-12<NA><NA><NA>053)614-422110.0<NA>대구광역시 달성군 논공읍 북리 *-***<NA><NA>(주)장안특수운송2021-03-12 10:05:36U2021-03-14 02:40:00<NA>331202.514652248845.861218축산물운반업<NA><NA>000<NA>
140141축산물운반업07_22_25_P34800003480000008200600022006-12-28<NA>4취소/말소/만료/정지/중지4말소2021-03-12<NA><NA><NA><NA>0.0<NA>대구광역시 달성군 논공읍 북리 ***-*<NA><NA>앙경상사2021-03-12 10:06:42U2021-03-14 02:40:00<NA><NA><NA>축산물운반업<NA><NA>000<NA>
141142축산물운반업07_22_25_P34800003480000008200900012009-08-31<NA>4취소/말소/만료/정지/중지4말소2021-03-12<NA><NA><NA>616-619112.0<NA>대구광역시 달성군 옥포읍 강림리 ***-*대구광역시 달성군 옥포읍 시저로 *<NA>산정오리2021-03-12 10:06:00U2021-03-14 02:40:00<NA>329289.647519254318.70007축산물운반업<NA><NA>000<NA>
142143축산물운반업07_22_25_P34800003480000008202300022023-04-20<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 달성군 구지면 창리 ***대구광역시 달성군 구지면 창리서로*길 *-*43010주식회사 남경물류2023-04-21 09:09:37I2023-04-23 00:20:19<NA>327299.692057240636.852024축산물운반업<NA>0L000