Overview

Dataset statistics

Number of variables33
Number of observations157
Missing cells1323
Missing cells (%)25.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.4 KiB
Average record size in memory282.8 B

Variable types

Numeric7
Categorical11
DateTime4
Unsupported7
Text4

Dataset

Description24년03월_6270000_대구광역시_07_22_25_P_축산물운반업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106619&dataSetDetailId=DDI_0000106659&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
축산업무구분명 has constant value ""Constant
인허가취소일자 has 157 (100.0%) missing valuesMissing
폐업일자 has 92 (58.6%) missing valuesMissing
휴업시작일자 has 157 (100.0%) missing valuesMissing
휴업종료일자 has 157 (100.0%) missing valuesMissing
재개업일자 has 157 (100.0%) missing valuesMissing
소재지전화 has 85 (54.1%) missing valuesMissing
소재지우편번호 has 157 (100.0%) missing valuesMissing
소재지전체주소 has 2 (1.3%) missing valuesMissing
도로명전체주소 has 4 (2.5%) missing valuesMissing
도로명우편번호 has 37 (23.6%) missing valuesMissing
업태구분명 has 157 (100.0%) missing valuesMissing
좌표정보(X) has 2 (1.3%) missing valuesMissing
좌표정보(Y) has 2 (1.3%) missing valuesMissing
축산물가공업구분명 has 157 (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 68 (43.3%) zerosZeros

Reproduction

Analysis started2024-04-29 12:29:44.755398
Analysis finished2024-04-29 12:29:45.547401
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct157
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79
Minimum1
Maximum157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-29T21:29:45.635468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.8
Q140
median79
Q3118
95-th percentile149.2
Maximum157
Range156
Interquartile range (IQR)78

Descriptive statistics

Standard deviation45.466105
Coefficient of variation (CV)0.57552031
Kurtosis-1.2
Mean79
Median Absolute Deviation (MAD)39
Skewness0
Sum12403
Variance2067.1667
MonotonicityStrictly increasing
2024-04-29T21:29:45.800905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
109 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%
108 1
 
0.6%
110 1
 
0.6%
Other values (147) 147
93.6%
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 (%)
157 1
0.6%
156 1
0.6%
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%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
축산물운반업
157 

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 157
100.0%

Length

2024-04-29T21:29:45.976315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:46.092699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 157
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
07_22_25_P
157 

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 157
100.0%

Length

2024-04-29T21:29:46.208991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:46.296289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_25_p 157
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3473070.1
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-29T21:29:46.377081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation191351.51
Coefficient of variation (CV)0.055095781
Kurtosis73.855061
Mean3473070.1
Median Absolute Deviation (MAD)20000
Skewness8.5937956
Sum5.45272 × 108
Variance3.6615399 × 1010
MonotonicityIncreasing
2024-04-29T21:29:46.478474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 32
20.4%
3450000 30
19.1%
3480000 27
17.2%
3420000 25
15.9%
3430000 18
11.5%
3460000 14
8.9%
3410000 5
 
3.2%
3440000 4
 
2.5%
5141000 2
 
1.3%
ValueCountFrequency (%)
3410000 5
 
3.2%
3420000 25
15.9%
3430000 18
11.5%
3440000 4
 
2.5%
3450000 30
19.1%
3460000 14
8.9%
3470000 32
20.4%
3480000 27
17.2%
5141000 2
 
1.3%
ValueCountFrequency (%)
5141000 2
 
1.3%
3480000 27
17.2%
3470000 32
20.4%
3460000 14
8.9%
3450000 30
19.1%
3440000 4
 
2.5%
3430000 18
11.5%
3420000 25
15.9%
3410000 5
 
3.2%

관리번호
Real number (ℝ)

UNIQUE 

Distinct157
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4730573 × 1017
Minimum3.41 × 1017
Maximum5.14 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-29T21:29:46.603668image/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
Maximum5.14 × 1017
Range1.73 × 1017
Interquartile range (IQR)4 × 1015

Descriptive statistics

Standard deviation1.9123976 × 1016
Coefficient of variation (CV)0.055063806
Kurtosis73.852631
Mean3.4730573 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness8.5935855
Sum-8.1323209 × 1017
Variance3.6572644 × 1032
MonotonicityNot monotonic
2024-04-29T21:29:46.762842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000000820140001 1
 
0.6%
347000000820200001 1
 
0.6%
347000000820230002 1
 
0.6%
347000000820230001 1
 
0.6%
347000000820220003 1
 
0.6%
347000000820220002 1
 
0.6%
347000000820220001 1
 
0.6%
347000000820210002 1
 
0.6%
347000000820210001 1
 
0.6%
347000000820190001 1
 
0.6%
Other values (147) 147
93.6%
ValueCountFrequency (%)
341000000820020001 1
0.6%
341000000820050001 1
0.6%
341000000820080001 1
0.6%
341000000820140001 1
0.6%
341000000820170001 1
0.6%
342000000820080001 1
0.6%
342000000820090001 1
0.6%
342000000820090002 1
0.6%
342000000820090003 1
0.6%
342000000820120001 1
0.6%
ValueCountFrequency (%)
514000000820150001 1
0.6%
514000000820030001 1
0.6%
348000000820230004 1
0.6%
348000000820230003 1
0.6%
348000000820230002 1
0.6%
348000000820230001 1
0.6%
348000000820220003 1
0.6%
348000000820220002 1
0.6%
348000000820220001 1
0.6%
348000000820210002 1
0.6%

인허가일자
Date

Distinct141
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1998-08-07 00:00:00
Maximum2024-03-07 00:00:00
2024-04-29T21:29:46.884124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:29:47.020212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1
91 
3
57 
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 91
58.0%
3 57
36.3%
4 9
 
5.7%

Length

2024-04-29T21:29:47.312239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:47.420195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 91
58.0%
3 57
36.3%
4 9
 
5.7%

영업상태명
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업/정상
91 
폐업
57 
취소/말소/만료/정지/중지
 
9

Length

Max length14
Median length5
Mean length4.4267516
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 91
58.0%
폐업 57
36.3%
취소/말소/만료/정지/중지 9
 
5.7%

Length

2024-04-29T21:29:47.526437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:47.624363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 91
58.0%
폐업 57
36.3%
취소/말소/만료/정지/중지 9
 
5.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
0
91 
2
57 
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 91
58.0%
2 57
36.3%
4 9
 
5.7%

Length

2024-04-29T21:29:47.725008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:47.813061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 91
58.0%
2 57
36.3%
4 9
 
5.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
정상
91 
폐업
57 
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 91
58.0%
폐업 57
36.3%
말소 9
 
5.7%

Length

2024-04-29T21:29:47.905659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:47.995305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 91
58.0%
폐업 57
36.3%
말소 9
 
5.7%

폐업일자
Date

MISSING 

Distinct56
Distinct (%)86.2%
Missing92
Missing (%)58.6%
Memory size1.4 KiB
Minimum2004-11-20 00:00:00
Maximum2024-01-23 00:00:00
2024-04-29T21:29:48.091626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:29:48.210837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

소재지전화
Text

MISSING 

Distinct70
Distinct (%)97.2%
Missing85
Missing (%)54.1%
Memory size1.4 KiB
2024-04-29T21:29:48.462560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.2638889
Min length7

Characters and Unicode

Total characters667
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

Unique68 ?
Unique (%)94.4%

Sample

1st row245-2040
2nd row2565017
3rd row5875605
4th row426-5525
5th row0533117000
ValueCountFrequency (%)
5875605 2
 
2.8%
7680506 2
 
2.8%
759-4828 1
 
1.4%
053-384-5100 1
 
1.4%
537106114 1
 
1.4%
053-218-3360 1
 
1.4%
753-4312 1
 
1.4%
607-5038 1
 
1.4%
741-5997 1
 
1.4%
0533572610 1
 
1.4%
Other values (60) 60
83.3%
2024-04-29T21:29:48.834358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 110
16.5%
0 89
13.3%
3 73
10.9%
- 72
10.8%
1 58
8.7%
6 57
8.5%
2 50
7.5%
4 48
7.2%
8 45
6.7%
7 37
 
5.5%
Other values (2) 28
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 593
88.9%
Dash Punctuation 72
 
10.8%
Close Punctuation 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 110
18.5%
0 89
15.0%
3 73
12.3%
1 58
9.8%
6 57
9.6%
2 50
8.4%
4 48
8.1%
8 45
7.6%
7 37
 
6.2%
9 26
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 667
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 110
16.5%
0 89
13.3%
3 73
10.9%
- 72
10.8%
1 58
8.7%
6 57
8.5%
2 50
7.5%
4 48
7.2%
8 45
6.7%
7 37
 
5.5%
Other values (2) 28
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 667
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 110
16.5%
0 89
13.3%
3 73
10.9%
- 72
10.8%
1 58
8.7%
6 57
8.5%
2 50
7.5%
4 48
7.2%
8 45
6.7%
7 37
 
5.5%
Other values (2) 28
 
4.2%

소재지면적
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.3128
Minimum0
Maximum9234.27
Zeros68
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-29T21:29:48.974277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median21
Q367.65
95-th percentile418.104
Maximum9234.27
Range9234.27
Interquartile range (IQR)67.65

Descriptive statistics

Standard deviation752.05749
Coefficient of variation (CV)5.7711711
Kurtosis140.12067
Mean130.3128
Median Absolute Deviation (MAD)21
Skewness11.580468
Sum20459.11
Variance565590.46
MonotonicityNot monotonic
2024-04-29T21:29:49.115038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 68
43.3%
45.1 5
 
3.2%
10.0 3
 
1.9%
21.0 2
 
1.3%
43.61 2
 
1.3%
99.0 2
 
1.3%
40.0 2
 
1.3%
30.0 2
 
1.3%
26.45 1
 
0.6%
233.34 1
 
0.6%
Other values (69) 69
43.9%
ValueCountFrequency (%)
0.0 68
43.3%
1.0 1
 
0.6%
9.0 1
 
0.6%
10.0 3
 
1.9%
12.0 1
 
0.6%
15.0 1
 
0.6%
16.77 1
 
0.6%
20.0 1
 
0.6%
21.0 2
 
1.3%
21.19 1
 
0.6%
ValueCountFrequency (%)
9234.27 1
0.6%
1682.0 1
0.6%
680.0 1
0.6%
617.0 1
0.6%
595.5 1
0.6%
504.0 1
0.6%
492.36 1
0.6%
449.0 1
0.6%
410.38 1
0.6%
303.72 1
0.6%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

소재지전체주소
Text

MISSING 

Distinct133
Distinct (%)85.8%
Missing2
Missing (%)1.3%
Memory size1.4 KiB
2024-04-29T21:29:49.378506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length23.458065
Min length17

Characters and Unicode

Total characters3636
Distinct characters148
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

Unique120 ?
Unique (%)77.4%

Sample

1st row대구광역시 중구 계산동*가 현대백화점대구점 지하*층
2nd row대구광역시 중구 남산동 ****-*번지
3rd row대구광역시 중구 종로*가 **번지
4th row대구광역시 중구 봉산동 ***-**번지
5th row대구광역시 중구 동인동*가 ***-**번지
ValueCountFrequency (%)
대구광역시 155
21.5%
93
 
12.9%
번지 61
 
8.4%
달서구 32
 
4.4%
북구 29
 
4.0%
호 27
 
3.7%
달성군 27
 
3.7%
동구 25
 
3.5%
서구 18
 
2.5%
수성구 14
 
1.9%
Other values (124) 241
33.4%
2024-04-29T21:29:49.807368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 779
21.4%
697
19.2%
구 290
 
8.0%
동 176
 
4.8%
대 164
 
4.5%
시 158
 
4.3%
광 155
 
4.3%
역 155
 
4.3%
- 115
 
3.2%
지 71
 
2.0%
Other values (138) 876
24.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2044
56.2%
Other Punctuation 779
 
21.4%
Space Separator 697
 
19.2%
Dash Punctuation 115
 
3.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 290
14.2%
동 176
 
8.6%
대 164
 
8.0%
시 158
 
7.7%
광 155
 
7.6%
역 155
 
7.6%
지 71
 
3.5%
서 63
 
3.1%
번 61
 
3.0%
달 61
 
3.0%
Other values (134) 690
33.8%
Other Punctuation
ValueCountFrequency (%)
* 779
100.0%
Space Separator
ValueCountFrequency (%)
697
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 115
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2044
56.2%
Common 1591
43.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 290
14.2%
동 176
 
8.6%
대 164
 
8.0%
시 158
 
7.7%
광 155
 
7.6%
역 155
 
7.6%
지 71
 
3.5%
서 63
 
3.1%
번 61
 
3.0%
달 61
 
3.0%
Other values (134) 690
33.8%
Common
ValueCountFrequency (%)
* 779
49.0%
697
43.8%
- 115
 
7.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2044
56.2%
ASCII 1592
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 779
48.9%
697
43.8%
- 115
 
7.2%
B 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 290
14.2%
동 176
 
8.6%
대 164
 
8.0%
시 158
 
7.7%
광 155
 
7.6%
역 155
 
7.6%
지 71
 
3.5%
서 63
 
3.1%
번 61
 
3.0%
달 61
 
3.0%
Other values (134) 690
33.8%

도로명전체주소
Text

MISSING 

Distinct136
Distinct (%)88.9%
Missing4
Missing (%)2.5%
Memory size1.4 KiB
2024-04-29T21:29:50.094882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length30.228758
Min length19

Characters and Unicode

Total characters4625
Distinct characters197
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 중구 달구벌대로 ****, 지하*층 (계산동*가)
2nd row대구광역시 중구 중앙대로 *** (남산동)
3rd row대구광역시 중구 중앙대로**길 ** (종로*가)
4th row대구광역시 중구 봉산문화*길 * (봉산동)
5th row대구광역시 중구 동덕로**길 ** (동인동*가, 삼익아파트)
ValueCountFrequency (%)
대구광역시 153
 
16.7%
147
 
16.1%
호 53
 
5.8%
달서구 31
 
3.4%
북구 30
 
3.3%
층 25
 
2.7%
달성군 25
 
2.7%
동구 25
 
2.7%
동 20
 
2.2%
서구 18
 
2.0%
Other values (240) 387
42.3%
2024-04-29T21:29:50.509513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 779
16.8%
761
16.5%
구 311
 
6.7%
동 209
 
4.5%
대 197
 
4.3%
시 159
 
3.4%
역 155
 
3.4%
광 153
 
3.3%
로 152
 
3.3%
( 135
 
2.9%
Other values (187) 1614
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2687
58.1%
Other Punctuation 879
 
19.0%
Space Separator 761
 
16.5%
Open Punctuation 135
 
2.9%
Close Punctuation 135
 
2.9%
Dash Punctuation 22
 
0.5%
Uppercase Letter 5
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 311
 
11.6%
동 209
 
7.8%
대 197
 
7.3%
시 159
 
5.9%
역 155
 
5.8%
광 153
 
5.7%
로 152
 
5.7%
서 84
 
3.1%
호 78
 
2.9%
성 75
 
2.8%
Other values (176) 1114
41.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
40.0%
B 1
20.0%
G 1
20.0%
D 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 779
88.6%
, 100
 
11.4%
Space Separator
ValueCountFrequency (%)
761
100.0%
Open Punctuation
ValueCountFrequency (%)
( 135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2687
58.1%
Common 1932
41.8%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 311
 
11.6%
동 209
 
7.8%
대 197
 
7.3%
시 159
 
5.9%
역 155
 
5.8%
광 153
 
5.7%
로 152
 
5.7%
서 84
 
3.1%
호 78
 
2.9%
성 75
 
2.8%
Other values (176) 1114
41.5%
Common
ValueCountFrequency (%)
* 779
40.3%
761
39.4%
( 135
 
7.0%
) 135
 
7.0%
, 100
 
5.2%
- 22
 
1.1%
Latin
ValueCountFrequency (%)
A 2
33.3%
B 1
16.7%
a 1
16.7%
G 1
16.7%
D 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2687
58.1%
ASCII 1938
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 779
40.2%
761
39.3%
( 135
 
7.0%
) 135
 
7.0%
, 100
 
5.2%
- 22
 
1.1%
A 2
 
0.1%
B 1
 
0.1%
a 1
 
0.1%
G 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 311
 
11.6%
동 209
 
7.8%
대 197
 
7.3%
시 159
 
5.9%
역 155
 
5.8%
광 153
 
5.7%
로 152
 
5.7%
서 84
 
3.1%
호 78
 
2.9%
성 75
 
2.8%
Other values (176) 1114
41.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)76.7%
Missing37
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean42024.358
Minimum41028
Maximum43111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-29T21:29:50.652143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41028
5-th percentile41084.85
Q141484.5
median41920.5
Q342722
95-th percentile42943.15
Maximum43111
Range2083
Interquartile range (IQR)1237.5

Descriptive statistics

Standard deviation658.62099
Coefficient of variation (CV)0.015672363
Kurtosis-1.4522796
Mean42024.358
Median Absolute Deviation (MAD)664.5
Skewness0.10150302
Sum5042923
Variance433781.61
MonotonicityNot monotonic
2024-04-29T21:29:50.802537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41754 7
 
4.5%
42722 6
 
3.8%
42927 6
 
3.8%
41502 3
 
1.9%
42954 2
 
1.3%
41412 2
 
1.3%
41422 2
 
1.3%
42649 2
 
1.3%
41765 2
 
1.3%
41256 2
 
1.3%
Other values (82) 86
54.8%
(Missing) 37
23.6%
ValueCountFrequency (%)
41028 1
0.6%
41035 1
0.6%
41065 1
0.6%
41073 1
0.6%
41078 1
0.6%
41082 1
0.6%
41085 1
0.6%
41099 1
0.6%
41112 1
0.6%
41123 2
1.3%
ValueCountFrequency (%)
43111 1
 
0.6%
43010 1
 
0.6%
42971 1
 
0.6%
42954 2
 
1.3%
42946 1
 
0.6%
42943 1
 
0.6%
42928 1
 
0.6%
42927 6
3.8%
42920 1
 
0.6%
42914 2
 
1.3%

사업장명
Text

Distinct134
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-29T21:29:51.072470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length6.4649682
Min length2

Characters and Unicode

Total characters1015
Distinct characters178
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

Unique122 ?
Unique (%)77.7%

Sample

1st row(주)코리아택배물류
2nd row대구우체국
3rd row(주)일성화물
4th row개별화물
5th rowMJ물류
ValueCountFrequency (%)
주식회사 11
 
6.2%
개별화물 9
 
5.1%
개인용달 5
 
2.8%
mj물류 3
 
1.7%
주)능원통운 2
 
1.1%
주)성진냉동 2
 
1.1%
그린로직스 2
 
1.1%
주)디에이치특송 2
 
1.1%
동원물산 2
 
1.1%
주)일성로지스 2
 
1.1%
Other values (133) 136
77.3%
2024-04-29T21:29:51.470879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 72
 
7.1%
) 66
 
6.5%
( 65
 
6.4%
물 60
 
5.9%
류 38
 
3.7%
스 25
 
2.5%
화 21
 
2.1%
운 21
 
2.1%
성 20
 
2.0%
19
 
1.9%
Other values (168) 608
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 845
83.3%
Close Punctuation 66
 
6.5%
Open Punctuation 65
 
6.4%
Space Separator 19
 
1.9%
Decimal Number 10
 
1.0%
Uppercase Letter 8
 
0.8%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 72
 
8.5%
물 60
 
7.1%
류 38
 
4.5%
스 25
 
3.0%
화 21
 
2.5%
운 21
 
2.5%
성 20
 
2.4%
산 18
 
2.1%
수 18
 
2.1%
사 18
 
2.1%
Other values (154) 534
63.2%
Decimal Number
ValueCountFrequency (%)
5 3
30.0%
1 2
20.0%
8 2
20.0%
9 1
 
10.0%
6 1
 
10.0%
2 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
J 3
37.5%
M 3
37.5%
G 1
 
12.5%
D 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 845
83.3%
Common 162
 
16.0%
Latin 8
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 72
 
8.5%
물 60
 
7.1%
류 38
 
4.5%
스 25
 
3.0%
화 21
 
2.5%
운 21
 
2.5%
성 20
 
2.4%
산 18
 
2.1%
수 18
 
2.1%
사 18
 
2.1%
Other values (154) 534
63.2%
Common
ValueCountFrequency (%)
) 66
40.7%
( 65
40.1%
19
 
11.7%
5 3
 
1.9%
1 2
 
1.2%
. 2
 
1.2%
8 2
 
1.2%
9 1
 
0.6%
6 1
 
0.6%
2 1
 
0.6%
Latin
ValueCountFrequency (%)
J 3
37.5%
M 3
37.5%
G 1
 
12.5%
D 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 845
83.3%
ASCII 170
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 72
 
8.5%
물 60
 
7.1%
류 38
 
4.5%
스 25
 
3.0%
화 21
 
2.5%
운 21
 
2.5%
성 20
 
2.4%
산 18
 
2.1%
수 18
 
2.1%
사 18
 
2.1%
Other values (154) 534
63.2%
ASCII
ValueCountFrequency (%)
) 66
38.8%
( 65
38.2%
19
 
11.2%
J 3
 
1.8%
M 3
 
1.8%
5 3
 
1.8%
1 2
 
1.2%
. 2
 
1.2%
8 2
 
1.2%
9 1
 
0.6%
Other values (4) 4
 
2.4%

최종수정시점
Date

UNIQUE 

Distinct157
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2003-06-16 09:57:21
Maximum2024-03-29 13:55:14
2024-04-29T21:29:51.598575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:29:51.727749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
U
80 
I
77 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 80
51.0%
I 77
49.0%

Length

2024-04-29T21:29:51.846570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:51.936919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 80
51.0%
i 77
49.0%

데이터갱신일자
Date

Distinct101
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2018-08-31 23:59:59
Maximum2024-03-31 02:40:00
2024-04-29T21:29:52.045458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:29:52.178289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct132
Distinct (%)85.2%
Missing2
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean341671.12
Minimum325882.67
Maximum355567.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-29T21:29:52.298878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325882.67
5-th percentile332413.75
Q1337329.21
median340309.43
Q3345857
95-th percentile354505.95
Maximum355567.69
Range29685.027
Interquartile range (IQR)8527.7887

Descriptive statistics

Standard deviation6502.9819
Coefficient of variation (CV)0.01903287
Kurtosis-0.29658115
Mean341671.12
Median Absolute Deviation (MAD)3986.6509
Skewness0.39612057
Sum52959024
Variance42288773
MonotonicityNot monotonic
2024-04-29T21:29:52.425116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
338412.280970161 7
 
4.5%
337329.213272566 6
 
3.8%
335153.914138781 5
 
3.2%
354807.053275416 3
 
1.9%
352275.472365567 2
 
1.3%
333920.608530076 2
 
1.3%
335197.014545736 2
 
1.3%
346671.304307472 2
 
1.3%
340411.77176403 2
 
1.3%
337384.429844836 2
 
1.3%
Other values (122) 122
77.7%
(Missing) 2
 
1.3%
ValueCountFrequency (%)
325882.665956232 1
0.6%
327299.692057158 1
0.6%
329289.647519192 1
0.6%
330128.309210262 1
0.6%
331202.514651903 1
0.6%
332084.144439394 1
0.6%
332298.355065333 1
0.6%
332385.038997498 1
0.6%
332426.05670019 1
0.6%
332496.726491339 1
0.6%
ValueCountFrequency (%)
355567.693373811 1
 
0.6%
355444.760055803 1
 
0.6%
354981.403949833 1
 
0.6%
354976.751149176 1
 
0.6%
354807.053275416 3
1.9%
354562.01451466 1
 
0.6%
354481.928515177 1
 
0.6%
354427.579139808 1
 
0.6%
353978.383780923 1
 
0.6%
353971.7813759 1
 
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct132
Distinct (%)85.2%
Missing2
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean264006.27
Minimum240636.85
Maximum308254.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-29T21:29:52.551656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240636.85
5-th percentile257016.26
Q1261244.32
median264257.42
Q3265741.04
95-th percentile271019.98
Maximum308254.8
Range67617.948
Interquartile range (IQR)4496.722

Descriptive statistics

Standard deviation6197.0701
Coefficient of variation (CV)0.023473193
Kurtosis20.010133
Mean264006.27
Median Absolute Deviation (MAD)2459.6162
Skewness2.3840224
Sum40920972
Variance38403678
MonotonicityNot monotonic
2024-04-29T21:29:52.963062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264257.421958859 7
 
4.5%
260416.780232605 6
 
3.8%
264331.984614683 5
 
3.2%
264751.958416552 3
 
1.9%
264925.058163558 2
 
1.3%
261405.687893304 2
 
1.3%
257174.059182861 2
 
1.3%
264957.682619359 2
 
1.3%
272600.06388059 2
 
1.3%
260371.115494005 2
 
1.3%
Other values (122) 122
77.7%
(Missing) 2
 
1.3%
ValueCountFrequency (%)
240636.852024454 1
0.6%
244838.382090959 1
0.6%
248845.861217693 1
0.6%
254318.700070401 1
0.6%
256070.297672268 1
0.6%
256442.855336906 1
0.6%
256643.317146408 1
0.6%
256648.067692009 1
0.6%
257174.059182861 2
1.3%
257287.881227306 1
0.6%
ValueCountFrequency (%)
308254.799686136 1
0.6%
292178.846980814 1
0.6%
274508.218106082 1
0.6%
272723.483445574 1
0.6%
272600.06388059 2
1.3%
272219.113571771 1
0.6%
272092.197029608 1
0.6%
270560.459102708 1
0.6%
270552.994262756 1
0.6%
270013.374391896 1
0.6%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
축산물운반업
157 

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 157
100.0%

Length

2024-04-29T21:29:53.087449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:53.192033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 157
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing157
Missing (%)100.0%
Memory size1.5 KiB

축산일련번호
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
92 
0
65 

Length

Max length4
Median length4
Mean length2.7579618
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> 92
58.6%
0 65
41.4%

Length

2024-04-29T21:29:53.312548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:53.407100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
58.6%
0 65
41.4%

권리주체일련번호
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
000
85 
L00
72 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 85
54.1%
L00 72
45.9%

Length

2024-04-29T21:29:53.498338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:53.582871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 85
54.1%
l00 72
45.9%

총직원수
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
92 
0
65 

Length

Max length4
Median length4
Mean length2.7579618
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> 92
58.6%
0 65
41.4%

Length

2024-04-29T21:29:53.678267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:53.774057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
58.6%
0 65
41.4%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
01축산물운반업07_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>
12축산물운반업07_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>
23축산물운반업07_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>
34축산물운반업07_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>
45축산물운반업07_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>
56축산물운반업07_22_25_P34200003420000008201200022012-12-14<NA>3폐업2폐업2013-07-30<NA><NA><NA><NA>0.0<NA>대구광역시 동구 동호동 **-**번지대구광역시 동구 안심로**길 ** (동호동)41078(주)동원물산2013-07-30 14:13:13I2018-08-31 23:59:59<NA>354807.053275264751.958417축산물운반업<NA><NA>L00<NA>
67축산물운반업07_22_25_P34200003420000008201300012013-03-28<NA>3폐업2폐업2021-02-18<NA><NA><NA><NA>23.31<NA>대구광역시 동구 동호동 **-**대구광역시 동구 안심로**길 ** (동호동)<NA>동원물산2021-02-18 16:23:25U2021-02-20 02:40:00<NA>354807.053275264751.958417축산물운반업<NA><NA>000<NA>
78축산물운반업07_22_25_P34200003420000008201500012015-02-17<NA>3폐업2폐업2017-02-01<NA><NA><NA>053311700036.0<NA>대구광역시 동구 방촌동 ****-***번지대구광역시 동구 화랑로 ***, *층 ***호 (방촌동)41163(주)그린물류2017-02-03 10:13:22I2018-08-31 23:59:59<NA>350394.523064265428.417548축산물운반업<NA><NA>L00<NA>
89축산물운반업07_22_25_P34200003420000008201700012017-04-20<NA>3폐업2폐업2023-01-26<NA><NA><NA><NA>70.2<NA>대구광역시 동구 신천동 ***-*대구광역시 동구 국채보상로***길 **, ***동 *층 ***호 (신천동, 우방푸른타운)41267MJ물류2023-02-10 11:33:42U2023-02-12 02:40:00<NA>345793.311978264564.232699축산물운반업<NA>00000
910축산물운반업07_22_25_P34200003420000008202400012024-01-11<NA>1영업/정상0정상<NA><NA><NA><NA>053-964-88040.0<NA>대구광역시 동구 검사동 ***-* ***동 ****호대구광역시 동구 해동로 ***, ***동 ****호 (검사동, 금사리하이빌)41158(주)티에스물류2024-01-11 10:02:45I2024-01-13 00:16:23<NA>349432.867651266084.647087축산물운반업<NA>0L000
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
147148축산물운반업07_22_25_P34800003480000008200400012010-04-02<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 달성군 하빈면 봉촌리 ***-**대구광역시 달성군 하빈면 하빈남로 ***42905화성물류(주)2023-01-04 16:40:09U2023-01-07 02:40:00<NA>325882.665956263771.245271축산물운반업<NA>0L000
148149축산물운반업07_22_25_P34800003480000008200100012001-08-03<NA>3폐업2폐업2020-07-01<NA><NA><NA>053)639-450010.0<NA>대구광역시 달성군 화원읍 명곡리 ***-* 화원상가빌딩 *층대구광역시 달성군 화원읍 성화로 * (화원상가빌딩 *층)<NA>(주)대산물류2020-07-01 17:34:34U2020-07-03 02:40:00<NA>334768.549272256648.067692축산물운반업<NA><NA>000<NA>
149150축산물운반업07_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>
150151축산물운반업07_22_25_P34800003480000008202300032023-12-11<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 달성군 다사읍 죽곡리 *** 죽곡푸르지오*단지 ***동 ***호대구광역시 달성군 다사읍 대실역남로 **, ***동 ***호 (죽곡푸르지오*단지)42920개인용달2023-12-11 14:38:39I2023-12-13 00:16:49<NA>332385.038997262213.046202축산물운반업<NA>00000
151152축산물운반업07_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
152153축산물운반업07_22_25_P34800003480000008202300012023-01-17<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 달성군 화원읍 천내리 ***-*대구광역시 달성군 화원읍 성천로**길 **, *층42954주식회사 이수로지스2023-01-17 16:34:21I2023-01-19 00:40:35<NA>335197.014546257174.059183축산물운반업<NA>0L000
153154축산물운반업07_22_25_P34800003480000008202200032022-10-12<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 달성군 다사읍 박곡리 ***대구광역시 달성군 다사읍 다사로 ***42907대한물류2024-03-11 15:05:22U2024-03-13 02:40:00<NA>334995.891633266261.473413축산물운반업<NA>00000
154155축산물운반업07_22_25_P34800003480000008202200012022-06-29<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 달성군 옥포읍 본리리 **** ***동 ****호대구광역시 달성군 옥포읍 비슬로***길 **, ***동 ****호 (미진이지비아)42971둥이화물2022-09-30 13:17:12U2022-10-02 02:40:00<NA>332496.726491256070.297672축산물운반업<NA>00000
155156축산물운반업07_22_25_P51410005140000008201500012015-04-27<NA>1영업/정상0정상<NA><NA><NA><NA><NA>9234.27<NA><NA>대구광역시 군위군 군위읍 경북대로 ****43111농업회사법인 주식회사 민속엘피씨2016-07-12 15:22:00I2023-07-01 16:42:10<NA>341316.954472308254.799686축산물운반업<NA>0L000
156157축산물운반업07_22_25_P51410005140000008200300012003-03-28<NA>3폐업2폐업2007-01-30<NA><NA><NA>054-382-080482.5<NA>대구광역시 군위군 효령면 고곡리 ***-*대구광역시 군위군 효령면 서고암*길 *<NA>(주)하나물류2007-01-30 14:47:51I2023-07-01 16:42:10<NA>341880.934181292178.846981축산물운반업<NA>0L000