Overview

Dataset statistics

Number of variables33
Number of observations150
Missing cells1264
Missing cells (%)25.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.4 KiB
Average record size in memory282.9 B

Variable types

Numeric7
Categorical11
DateTime4
Unsupported7
Text4

Dataset

Description23년09월_6270000_대구광역시_07_22_25_P_축산물운반업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000100896&dataSetDetailId=DDI_0000100924&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
축산업무구분명 has constant value ""Constant
인허가취소일자 has 150 (100.0%) missing valuesMissing
폐업일자 has 88 (58.7%) missing valuesMissing
휴업시작일자 has 150 (100.0%) missing valuesMissing
휴업종료일자 has 150 (100.0%) missing valuesMissing
재개업일자 has 150 (100.0%) missing valuesMissing
소재지전화 has 79 (52.7%) missing valuesMissing
소재지우편번호 has 150 (100.0%) missing valuesMissing
소재지전체주소 has 2 (1.3%) missing valuesMissing
도로명전체주소 has 4 (2.7%) missing valuesMissing
도로명우편번호 has 37 (24.7%) missing valuesMissing
업태구분명 has 150 (100.0%) missing valuesMissing
좌표정보(X) has 2 (1.3%) missing valuesMissing
좌표정보(Y) has 2 (1.3%) missing valuesMissing
축산물가공업구분명 has 150 (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 63 (42.0%) zerosZeros

Reproduction

Analysis started2023-10-21 06:00:48.799363
Analysis finished2023-10-21 06:00:50.196337
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct150
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.5
Minimum1
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-10-21T06:00:50.658491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.45
Q138.25
median75.5
Q3112.75
95-th percentile142.55
Maximum150
Range149
Interquartile range (IQR)74.5

Descriptive statistics

Standard deviation43.445368
Coefficient of variation (CV)0.57543534
Kurtosis-1.2
Mean75.5
Median Absolute Deviation (MAD)37.5
Skewness0
Sum11325
Variance1887.5
MonotonicityStrictly increasing
2023-10-21T06:00:51.297408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
96 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
105 1
 
0.7%
Other values (140) 140
93.3%
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 (%)
150 1
0.7%
149 1
0.7%
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
축산물운반업
150 

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 150
100.0%

Length

2023-10-21T06:00:52.000806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:00:52.500629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 150
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
07_22_25_P
150 

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 150
100.0%

Length

2023-10-21T06:00:52.905727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:00:53.314182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_25_p 150
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3473746.7
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-10-21T06:00:53.951114image/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 deviation195722.31
Coefficient of variation (CV)0.056343289
Kurtosis70.523437
Mean3473746.7
Median Absolute Deviation (MAD)20000
Skewness8.4028165
Sum5.21062 × 108
Variance3.8307224 × 1010
MonotonicityIncreasing
2023-10-21T06:00:54.479428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 31
20.7%
3450000 28
18.7%
3480000 25
16.7%
3420000 24
16.0%
3430000 18
12.0%
3460000 13
8.7%
3410000 5
 
3.3%
3440000 4
 
2.7%
5141000 2
 
1.3%
ValueCountFrequency (%)
3410000 5
 
3.3%
3420000 24
16.0%
3430000 18
12.0%
3440000 4
 
2.7%
3450000 28
18.7%
3460000 13
8.7%
3470000 31
20.7%
3480000 25
16.7%
5141000 2
 
1.3%
ValueCountFrequency (%)
5141000 2
 
1.3%
3480000 25
16.7%
3470000 31
20.7%
3460000 13
8.7%
3450000 28
18.7%
3440000 4
 
2.7%
3430000 18
12.0%
3420000 24
16.0%
3410000 5
 
3.3%

관리번호
Real number (ℝ)

UNIQUE 

Distinct150
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4737333 × 1017
Minimum3.41 × 1017
Maximum5.14 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-10-21T06:00:55.303205image/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 deviation1.9560797 × 1016
Coefficient of variation (CV)0.056310589
Kurtosis70.521204
Mean3.4737333 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness8.402619
Sum-3.2342321 × 1018
Variance3.8262479 × 1032
MonotonicityNot monotonic
2023-10-21T06:00:56.545008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000000820080001 1
 
0.7%
347000000819990001 1
 
0.7%
347000000820170001 1
 
0.7%
347000000820150002 1
 
0.7%
347000000820140001 1
 
0.7%
347000000820070001 1
 
0.7%
347000000820030001 1
 
0.7%
347000000820020001 1
 
0.7%
347000000819980001 1
 
0.7%
347000000820050004 1
 
0.7%
Other values (140) 140
93.3%
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 (%)
514000000820150001 1
0.7%
514000000820030001 1
0.7%
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%

인허가일자
Date

Distinct134
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1998-08-07 00:00:00
Maximum2023-08-09 00:00:00
2023-10-21T06:00:57.558157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:00:58.208303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1
87 
3
54 
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 87
58.0%
3 54
36.0%
4 9
 
6.0%

Length

2023-10-21T06:00:59.175854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:00:59.922168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 87
58.0%
3 54
36.0%
4 9
 
6.0%

영업상태명
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
영업/정상
87 
폐업
54 
취소/말소/만료/정지/중지
9 

Length

Max length14
Median length5
Mean length4.46
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 87
58.0%
폐업 54
36.0%
취소/말소/만료/정지/중지 9
 
6.0%

Length

2023-10-21T06:01:00.668084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:01:01.190499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 87
58.0%
폐업 54
36.0%
취소/말소/만료/정지/중지 9
 
6.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
87 
2
54 
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 87
58.0%
2 54
36.0%
4 9
 
6.0%

Length

2023-10-21T06:01:01.851048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:01:02.564034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 87
58.0%
2 54
36.0%
4 9
 
6.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
정상
87 
폐업
54 
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 87
58.0%
폐업 54
36.0%
말소 9
 
6.0%

Length

2023-10-21T06:01:03.279607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:01:03.887946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 87
58.0%
폐업 54
36.0%
말소 9
 
6.0%

폐업일자
Date

MISSING 

Distinct53
Distinct (%)85.5%
Missing88
Missing (%)58.7%
Memory size1.3 KiB
Minimum2004-11-20 00:00:00
Maximum2023-09-22 00:00:00
2023-10-21T06:01:04.460849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:01:05.120823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

소재지전화
Text

MISSING 

Distinct69
Distinct (%)97.2%
Missing79
Missing (%)52.7%
Memory size1.3 KiB
2023-10-21T06:01:05.991536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.2253521
Min length7

Characters and Unicode

Total characters655
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

Unique67 ?
Unique (%)94.4%

Sample

1st row2565017
2nd row5875605
3rd row426-5525
4th row245-2040
5th row053-962-8800
ValueCountFrequency (%)
7680506 2
 
2.8%
5875605 2
 
2.8%
523-1800 1
 
1.4%
053-384-5100 1
 
1.4%
584-1188 1
 
1.4%
706-5046 1
 
1.4%
537106114 1
 
1.4%
0535654000 1
 
1.4%
053-650-7052 1
 
1.4%
526-8925 1
 
1.4%
Other values (59) 59
83.1%
2023-10-21T06:01:07.835180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 109
16.6%
0 87
13.3%
3 72
11.0%
- 70
10.7%
1 58
8.9%
6 56
8.5%
2 50
7.6%
4 46
7.0%
8 43
 
6.6%
7 37
 
5.6%
Other values (2) 27
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 583
89.0%
Dash Punctuation 70
 
10.7%
Close Punctuation 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 109
18.7%
0 87
14.9%
3 72
12.3%
1 58
9.9%
6 56
9.6%
2 50
8.6%
4 46
7.9%
8 43
 
7.4%
7 37
 
6.3%
9 25
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 655
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 109
16.6%
0 87
13.3%
3 72
11.0%
- 70
10.7%
1 58
8.9%
6 56
8.5%
2 50
7.6%
4 46
7.0%
8 43
 
6.6%
7 37
 
5.6%
Other values (2) 27
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 655
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 109
16.6%
0 87
13.3%
3 72
11.0%
- 70
10.7%
1 58
8.9%
6 56
8.5%
2 50
7.6%
4 46
7.0%
8 43
 
6.6%
7 37
 
5.6%
Other values (2) 27
 
4.1%

소재지면적
Real number (ℝ)

ZEROS 

Distinct78
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.28073
Minimum0
Maximum9234.27
Zeros63
Zeros (%)42.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-10-21T06:01:08.831528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median22.095
Q369.5625
95-th percentile431.621
Maximum9234.27
Range9234.27
Interquartile range (IQR)69.5625

Descriptive statistics

Standard deviation769.08992
Coefficient of variation (CV)5.6851401
Kurtosis133.94676
Mean135.28073
Median Absolute Deviation (MAD)22.095
Skewness11.324059
Sum20292.11
Variance591499.3
MonotonicityNot monotonic
2023-10-21T06:01:09.607026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 63
42.0%
45.1 5
 
3.3%
10.0 3
 
2.0%
99.0 2
 
1.3%
43.61 2
 
1.3%
21.0 2
 
1.3%
40.0 2
 
1.3%
175.44 1
 
0.7%
42.63 1
 
0.7%
127.0 1
 
0.7%
Other values (68) 68
45.3%
ValueCountFrequency (%)
0.0 63
42.0%
1.0 1
 
0.7%
9.0 1
 
0.7%
10.0 3
 
2.0%
12.0 1
 
0.7%
15.0 1
 
0.7%
16.77 1
 
0.7%
20.0 1
 
0.7%
21.0 2
 
1.3%
21.19 1
 
0.7%
ValueCountFrequency (%)
9234.27 1
0.7%
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%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

소재지전체주소
Text

MISSING 

Distinct129
Distinct (%)87.2%
Missing2
Missing (%)1.3%
Memory size1.3 KiB
2023-10-21T06:01:10.661483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length23.412162
Min length17

Characters and Unicode

Total characters3465
Distinct characters143
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

Unique117 ?
Unique (%)79.1%

Sample

1st row대구광역시 중구 남산동 ****-*번지
2nd row대구광역시 중구 종로*가 **번지
3rd row대구광역시 중구 봉산동 ***-**번지
4th row대구광역시 중구 동인동*가 ***-**번지
5th row대구광역시 중구 계산동*가 현대백화점대구점 지하*층
ValueCountFrequency (%)
대구광역시 148
21.5%
83
 
12.1%
번지 64
 
9.3%
달서구 31
 
4.5%
북구 27
 
3.9%
달성군 25
 
3.6%
호 25
 
3.6%
동구 24
 
3.5%
서구 18
 
2.6%
수성구 13
 
1.9%
Other values (120) 229
33.3%
2023-10-21T06:01:12.334995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 737
21.3%
664
19.2%
구 277
 
8.0%
동 168
 
4.8%
대 157
 
4.5%
시 151
 
4.4%
광 148
 
4.3%
역 148
 
4.3%
- 110
 
3.2%
지 72
 
2.1%
Other values (133) 833
24.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1953
56.4%
Other Punctuation 737
 
21.3%
Space Separator 664
 
19.2%
Dash Punctuation 110
 
3.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 277
14.2%
동 168
 
8.6%
대 157
 
8.0%
시 151
 
7.7%
광 148
 
7.6%
역 148
 
7.6%
지 72
 
3.7%
번 64
 
3.3%
서 62
 
3.2%
달 58
 
3.0%
Other values (129) 648
33.2%
Other Punctuation
ValueCountFrequency (%)
* 737
100.0%
Space Separator
ValueCountFrequency (%)
664
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1953
56.4%
Common 1511
43.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 277
14.2%
동 168
 
8.6%
대 157
 
8.0%
시 151
 
7.7%
광 148
 
7.6%
역 148
 
7.6%
지 72
 
3.7%
번 64
 
3.3%
서 62
 
3.2%
달 58
 
3.0%
Other values (129) 648
33.2%
Common
ValueCountFrequency (%)
* 737
48.8%
664
43.9%
- 110
 
7.3%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1953
56.4%
ASCII 1512
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 737
48.7%
664
43.9%
- 110
 
7.3%
B 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 277
14.2%
동 168
 
8.6%
대 157
 
8.0%
시 151
 
7.7%
광 148
 
7.6%
역 148
 
7.6%
지 72
 
3.7%
번 64
 
3.3%
서 62
 
3.2%
달 58
 
3.0%
Other values (129) 648
33.2%

도로명전체주소
Text

MISSING 

Distinct130
Distinct (%)89.0%
Missing4
Missing (%)2.7%
Memory size1.3 KiB
2023-10-21T06:01:13.387500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length29.986301
Min length19

Characters and Unicode

Total characters4378
Distinct characters194
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

Unique123 ?
Unique (%)84.2%

Sample

1st row대구광역시 중구 중앙대로 *** (남산동)
2nd row대구광역시 중구 중앙대로**길 ** (종로*가)
3rd row대구광역시 중구 봉산문화*길 * (봉산동)
4th row대구광역시 중구 동덕로**길 ** (동인동*가, 삼익아파트)
5th row대구광역시 중구 달구벌대로 ****, 지하*층 (계산동*가)
ValueCountFrequency (%)
대구광역시 146
 
16.9%
140
 
16.2%
호 49
 
5.7%
달서구 30
 
3.5%
북구 28
 
3.2%
동구 24
 
2.8%
달성군 23
 
2.7%
층 22
 
2.5%
서구 18
 
2.1%
동 17
 
2.0%
Other values (229) 368
42.5%
2023-10-21T06:01:14.769376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 733
16.7%
719
16.4%
구 297
 
6.8%
동 199
 
4.5%
대 188
 
4.3%
시 152
 
3.5%
역 147
 
3.4%
광 146
 
3.3%
로 145
 
3.3%
( 129
 
2.9%
Other values (184) 1523
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2549
58.2%
Other Punctuation 825
 
18.8%
Space Separator 719
 
16.4%
Open Punctuation 129
 
2.9%
Close Punctuation 129
 
2.9%
Dash Punctuation 21
 
0.5%
Uppercase Letter 5
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 297
 
11.7%
동 199
 
7.8%
대 188
 
7.4%
시 152
 
6.0%
역 147
 
5.8%
광 146
 
5.7%
로 145
 
5.7%
서 82
 
3.2%
호 73
 
2.9%
성 69
 
2.7%
Other values (173) 1051
41.2%
Uppercase Letter
ValueCountFrequency (%)
A 2
40.0%
B 1
20.0%
D 1
20.0%
G 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 733
88.8%
, 92
 
11.2%
Space Separator
ValueCountFrequency (%)
719
100.0%
Open Punctuation
ValueCountFrequency (%)
( 129
100.0%
Close Punctuation
ValueCountFrequency (%)
) 129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2549
58.2%
Common 1823
41.6%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 297
 
11.7%
동 199
 
7.8%
대 188
 
7.4%
시 152
 
6.0%
역 147
 
5.8%
광 146
 
5.7%
로 145
 
5.7%
서 82
 
3.2%
호 73
 
2.9%
성 69
 
2.7%
Other values (173) 1051
41.2%
Common
ValueCountFrequency (%)
* 733
40.2%
719
39.4%
( 129
 
7.1%
) 129
 
7.1%
, 92
 
5.0%
- 21
 
1.2%
Latin
ValueCountFrequency (%)
A 2
33.3%
B 1
16.7%
D 1
16.7%
a 1
16.7%
G 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2549
58.2%
ASCII 1829
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 733
40.1%
719
39.3%
( 129
 
7.1%
) 129
 
7.1%
, 92
 
5.0%
- 21
 
1.1%
A 2
 
0.1%
B 1
 
0.1%
D 1
 
0.1%
a 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 297
 
11.7%
동 199
 
7.8%
대 188
 
7.4%
시 152
 
6.0%
역 147
 
5.8%
광 146
 
5.7%
로 145
 
5.7%
서 82
 
3.2%
호 73
 
2.9%
성 69
 
2.7%
Other values (173) 1051
41.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)77.9%
Missing37
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean42018.496
Minimum41028
Maximum43111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-10-21T06:01:15.891711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41028
5-th percentile41083.8
Q141468
median41907
Q342712
95-th percentile42934
Maximum43111
Range2083
Interquartile range (IQR)1244

Descriptive statistics

Standard deviation655.93719
Coefficient of variation (CV)0.015610678
Kurtosis-1.4367023
Mean42018.496
Median Absolute Deviation (MAD)651
Skewness0.10620497
Sum4748090
Variance430253.59
MonotonicityNot monotonic
2023-10-21T06:01:16.781134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41754 7
 
4.7%
42927 6
 
4.0%
42722 5
 
3.3%
41502 2
 
1.3%
41412 2
 
1.3%
41422 2
 
1.3%
41755 2
 
1.3%
41765 2
 
1.3%
42649 2
 
1.3%
42712 2
 
1.3%
Other values (78) 81
54.0%
(Missing) 37
24.7%
ValueCountFrequency (%)
41028 1
0.7%
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
1.3%
ValueCountFrequency (%)
43111 1
 
0.7%
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
4.0%
42914 2
 
1.3%
42907 1
 
0.7%

사업장명
Text

Distinct128
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-10-21T06:01:17.359025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length6.2733333
Min length2

Characters and Unicode

Total characters941
Distinct characters170
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

Unique116 ?
Unique (%)77.3%

Sample

1st row대구우체국
2nd row(주)일성화물
3rd row개별화물
4th rowMJ물류
5th row(주)코리아택배물류
ValueCountFrequency (%)
주식회사 10
 
6.1%
개별화물 9
 
5.5%
개인용달 4
 
2.4%
mj물류 3
 
1.8%
주)디에이치특송 2
 
1.2%
김태복(개인용달 2
 
1.2%
주)능원통운 2
 
1.2%
미소물류 2
 
1.2%
동원물산 2
 
1.2%
주)성진냉동 2
 
1.2%
Other values (124) 127
77.0%
2023-10-21T06:01:19.111430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 68
 
7.2%
) 62
 
6.6%
( 61
 
6.5%
물 54
 
5.7%
류 35
 
3.7%
스 23
 
2.4%
화 19
 
2.0%
운 19
 
2.0%
산 17
 
1.8%
이 17
 
1.8%
Other values (160) 566
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 783
83.2%
Close Punctuation 62
 
6.6%
Open Punctuation 61
 
6.5%
Space Separator 15
 
1.6%
Decimal Number 10
 
1.1%
Uppercase Letter 8
 
0.9%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 68
 
8.7%
물 54
 
6.9%
류 35
 
4.5%
스 23
 
2.9%
화 19
 
2.4%
운 19
 
2.4%
산 17
 
2.2%
이 17
 
2.2%
수 17
 
2.2%
성 17
 
2.2%
Other values (146) 497
63.5%
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 (%)
M 3
37.5%
J 3
37.5%
G 1
 
12.5%
D 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 783
83.2%
Common 150
 
15.9%
Latin 8
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 68
 
8.7%
물 54
 
6.9%
류 35
 
4.5%
스 23
 
2.9%
화 19
 
2.4%
운 19
 
2.4%
산 17
 
2.2%
이 17
 
2.2%
수 17
 
2.2%
성 17
 
2.2%
Other values (146) 497
63.5%
Common
ValueCountFrequency (%)
) 62
41.3%
( 61
40.7%
15
 
10.0%
5 3
 
2.0%
1 2
 
1.3%
. 2
 
1.3%
8 2
 
1.3%
9 1
 
0.7%
6 1
 
0.7%
2 1
 
0.7%
Latin
ValueCountFrequency (%)
M 3
37.5%
J 3
37.5%
G 1
 
12.5%
D 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 783
83.2%
ASCII 158
 
16.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 68
 
8.7%
물 54
 
6.9%
류 35
 
4.5%
스 23
 
2.9%
화 19
 
2.4%
운 19
 
2.4%
산 17
 
2.2%
이 17
 
2.2%
수 17
 
2.2%
성 17
 
2.2%
Other values (146) 497
63.5%
ASCII
ValueCountFrequency (%)
) 62
39.2%
( 61
38.6%
15
 
9.5%
5 3
 
1.9%
M 3
 
1.9%
J 3
 
1.9%
1 2
 
1.3%
. 2
 
1.3%
8 2
 
1.3%
9 1
 
0.6%
Other values (4) 4
 
2.5%

최종수정시점
Date

UNIQUE 

Distinct150
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2003-06-16 09:57:21
Maximum2023-09-25 17:45:10
2023-10-21T06:01:19.945680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:01:20.587199image/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 size1.3 KiB
I
78 
U
72 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 78
52.0%
U 72
48.0%

Length

2023-10-21T06:01:21.382291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:01:21.997135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 78
52.0%
u 72
48.0%

데이터갱신일자
Date

Distinct88
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-09-27 02:40:00
2023-10-21T06:01:22.620283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:01:23.515052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct127
Distinct (%)85.8%
Missing2
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean341659.83
Minimum325882.67
Maximum355567.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-10-21T06:01:24.208530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325882.67
5-th percentile332450.79
Q1337329.21
median340281.61
Q3345437.05
95-th percentile354533.98
Maximum355567.69
Range29685.027
Interquartile range (IQR)8107.834

Descriptive statistics

Standard deviation6511.1995
Coefficient of variation (CV)0.019057551
Kurtosis-0.23606186
Mean341659.83
Median Absolute Deviation (MAD)3916.2971
Skewness0.42568158
Sum50565655
Variance42395719
MonotonicityNot monotonic
2023-10-21T06:01:25.254923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
338412.280970161 7
 
4.7%
337329.213272566 5
 
3.3%
335153.914138781 5
 
3.3%
354807.053275416 3
 
2.0%
352275.472365567 2
 
1.3%
333920.608530076 2
 
1.3%
340411.77176403 2
 
1.3%
337384.429844836 2
 
1.3%
346671.304307472 2
 
1.3%
347450.886681594 1
 
0.7%
Other values (117) 117
78.0%
(Missing) 2
 
1.3%
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
2.0%
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 

Distinct127
Distinct (%)85.8%
Missing2
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean264021.3
Minimum240636.85
Maximum308254.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-10-21T06:01:26.336889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240636.85
5-th percentile256832.16
Q1261279.95
median264257.42
Q3265576.97
95-th percentile271556.09
Maximum308254.8
Range67617.948
Interquartile range (IQR)4297.0233

Descriptive statistics

Standard deviation6289.0315
Coefficient of variation (CV)0.023820167
Kurtosis19.728511
Mean264021.3
Median Absolute Deviation (MAD)2247.0003
Skewness2.3901229
Sum39075152
Variance39551917
MonotonicityNot monotonic
2023-10-21T06:01:27.115909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264257.421958859 7
 
4.7%
260416.780232605 5
 
3.3%
264331.984614683 5
 
3.3%
264751.958416552 3
 
2.0%
264925.058163558 2
 
1.3%
261405.687893304 2
 
1.3%
272600.06388059 2
 
1.3%
260371.115494005 2
 
1.3%
264957.682619359 2
 
1.3%
259826.024896744 1
 
0.7%
Other values (117) 117
78.0%
(Missing) 2
 
1.3%
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 (%)
308254.799686136 1
0.7%
292178.846980814 1
0.7%
274508.218106082 1
0.7%
272723.483445574 1
0.7%
272600.06388059 2
1.3%
272219.113571771 1
0.7%
272092.197029608 1
0.7%
270560.459102708 1
0.7%
270552.994262756 1
0.7%
270013.374391896 1
0.7%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
축산물운반업
150 

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 150
100.0%

Length

2023-10-21T06:01:28.017863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:01:28.748003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 150
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing150
Missing (%)100.0%
Memory size1.4 KiB

축산일련번호
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
95 
0
55 

Length

Max length4
Median length4
Mean length2.9
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> 95
63.3%
0 55
36.7%

Length

2023-10-21T06:01:29.689498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:01:30.368522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
63.3%
0 55
36.7%

권리주체일련번호
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
000
81 
L00
69 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 81
54.0%
L00 69
46.0%

Length

2023-10-21T06:01:31.339502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:01:32.396435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 81
54.0%
l00 69
46.0%

총직원수
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
95 
0
55 

Length

Max length4
Median length4
Mean length2.9
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> 95
63.3%
0 55
36.7%

Length

2023-10-21T06:01:33.086952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:01:33.578329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
63.3%
0 55
36.7%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
01축산물운반업07_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>
12축산물운반업07_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>
23축산물운반업07_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>
34축산물운반업07_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>
45축산물운반업07_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>
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 재성디앤에스2023-07-28 10:43:26U2023-07-30 02:40:00<NA>346671.304307264957.682619축산물운반업<NA>0L000
89축산물운반업07_22_25_P34200003420000008202100012021-05-12<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 동구 용계동 ***-* 동부화물터미널대구광역시 동구 화랑로 ***, 동부화물터미널 (용계동)41150소하물류2021-05-12 15:36:33I2021-05-14 00:22:56<NA>352275.472366264925.058164축산물운반업<NA><NA>000<NA>
910축산물운반업07_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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
140141축산물운반업07_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
141142축산물운반업07_22_25_P34800003480000008202000012020-01-15<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 달성군 다사읍 매곡리 ****대구광역시 달성군 다사읍 왕선로 **, ***동 ***호 (죽곡 하우젠트아너스빌)42914영일운수2021-12-21 16:56:27U2021-12-23 02:40:00<NA>332298.355065263327.850707축산물운반업<NA>00000
142143축산물운반업07_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>
143144축산물운반업07_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>
144145축산물운반업07_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>
145146축산물운반업07_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>
146147축산물운반업07_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>
147148축산물운반업07_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>
148149축산물운반업07_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
149150축산물운반업07_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