Overview

Dataset statistics

Number of variables33
Number of observations111
Missing cells1159
Missing cells (%)31.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.0 KiB
Average record size in memory286.2 B

Variable types

Numeric10
Categorical9
Unsupported9
Text4
DateTime1

Dataset

Description6270000_대구광역시_07_22_25_P_축산물운반업_11월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000086708&dataSetDetailId=DDI_0000086751&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
축산업무구분명 has constant value ""Constant
인허가취소일자 has 111 (100.0%) missing valuesMissing
폐업일자 has 71 (64.0%) missing valuesMissing
휴업시작일자 has 111 (100.0%) missing valuesMissing
휴업종료일자 has 111 (100.0%) missing valuesMissing
재개업일자 has 111 (100.0%) missing valuesMissing
소재지전화 has 44 (39.6%) missing valuesMissing
소재지우편번호 has 111 (100.0%) missing valuesMissing
도로명전체주소 has 4 (3.6%) missing valuesMissing
도로명우편번호 has 36 (32.4%) missing valuesMissing
업태구분명 has 111 (100.0%) missing valuesMissing
좌표정보(X) has 2 (1.8%) missing valuesMissing
좌표정보(Y) has 2 (1.8%) missing valuesMissing
축산물가공업구분명 has 111 (100.0%) missing valuesMissing
축산일련번호 has 111 (100.0%) missing valuesMissing
총종업원수 has 111 (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
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 42 (37.8%) zerosZeros

Reproduction

Analysis started2024-04-21 17:42:33.806569
Analysis finished2024-04-21 17:42:34.586266
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56
Minimum1
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T02:42:34.925060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.5
Q128.5
median56
Q383.5
95-th percentile105.5
Maximum111
Range110
Interquartile range (IQR)55

Descriptive statistics

Standard deviation32.186954
Coefficient of variation (CV)0.57476703
Kurtosis-1.2
Mean56
Median Absolute Deviation (MAD)28
Skewness0
Sum6216
Variance1036
MonotonicityStrictly increasing
2024-04-22T02:42:35.175671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
2 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
Other values (101) 101
91.0%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1016.0 B
축산물운반업
111 

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 111
100.0%

Length

2024-04-22T02:42:35.404869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:42:35.560013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 111
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1016.0 B
07_22_25_P
111 

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 111
100.0%

Length

2024-04-22T02:42:35.721236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:42:35.880595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_25_p 111
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450090.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T02:42:36.021526image/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 deviation22542.707
Coefficient of variation (CV)0.0065339473
Kurtosis-1.3199562
Mean3450090.1
Median Absolute Deviation (MAD)20000
Skewness-0.20535433
Sum3.8296 × 108
Variance5.0817363 × 108
MonotonicityIncreasing
2024-04-22T02:42:36.216832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 22
19.8%
3450000 21
18.9%
3480000 18
16.2%
3420000 17
15.3%
3430000 16
14.4%
3460000 9
8.1%
3410000 5
 
4.5%
3440000 3
 
2.7%
ValueCountFrequency (%)
3410000 5
 
4.5%
3420000 17
15.3%
3430000 16
14.4%
3440000 3
 
2.7%
3450000 21
18.9%
3460000 9
8.1%
3470000 22
19.8%
3480000 18
16.2%
ValueCountFrequency (%)
3480000 18
16.2%
3470000 22
19.8%
3460000 9
8.1%
3450000 21
18.9%
3440000 3
 
2.7%
3430000 16
14.4%
3420000 17
15.3%
3410000 5
 
4.5%

관리번호
Real number (ℝ)

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4500901 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T02:42:36.454706image/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 deviation2.2542707 × 1015
Coefficient of variation (CV)0.0065339473
Kurtosis-1.3199562
Mean3.4500901 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.20535433
Sum1.4025119 × 1018
Variance5.0817363 × 1030
MonotonicityNot monotonic
2024-04-22T02:42:36.714770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000000820170001 1
 
0.9%
341000000820140001 1
 
0.9%
347000000820170001 1
 
0.9%
347000000820180001 1
 
0.9%
347000000820050001 1
 
0.9%
347000000820050002 1
 
0.9%
347000000820050003 1
 
0.9%
347000000820060001 1
 
0.9%
347000000819980001 1
 
0.9%
347000000820020001 1
 
0.9%
Other values (101) 101
91.0%
ValueCountFrequency (%)
341000000820020001 1
0.9%
341000000820050001 1
0.9%
341000000820080001 1
0.9%
341000000820140001 1
0.9%
341000000820170001 1
0.9%
342000000820080001 1
0.9%
342000000820090001 1
0.9%
342000000820090002 1
0.9%
342000000820090003 1
0.9%
342000000820120001 1
0.9%
ValueCountFrequency (%)
348000000820200001 1
0.9%
348000000820180001 1
0.9%
348000000820160005 1
0.9%
348000000820160004 1
0.9%
348000000820160003 1
0.9%
348000000820160002 1
0.9%
348000000820160001 1
0.9%
348000000820090001 1
0.9%
348000000820080003 1
0.9%
348000000820080002 1
0.9%

인허가일자
Real number (ℝ)

Distinct101
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20118227
Minimum19980807
Maximum20201022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T02:42:36.979753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980807
5-th percentile20015906
Q120070315
median20131023
Q320170324
95-th percentile20200468
Maximum20201022
Range220215
Interquartile range (IQR)100009

Descriptive statistics

Standard deviation62768.623
Coefficient of variation (CV)0.0031199878
Kurtosis-1.0411324
Mean20118227
Median Absolute Deviation (MAD)50299
Skewness-0.3832931
Sum2.2331232 × 109
Variance3.9399 × 109
MonotonicityNot monotonic
2024-04-22T02:42:37.232811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160704 7
 
6.3%
20191008 2
 
1.8%
20151030 2
 
1.8%
20160721 2
 
1.8%
20021010 2
 
1.8%
20070307 1
 
0.9%
20170202 1
 
0.9%
20180501 1
 
0.9%
20050321 1
 
0.9%
20050323 1
 
0.9%
Other values (91) 91
82.0%
ValueCountFrequency (%)
19980807 1
0.9%
19980827 1
0.9%
19981022 1
0.9%
19991022 1
0.9%
20010702 1
0.9%
20010803 1
0.9%
20021010 2
1.8%
20021012 1
0.9%
20030207 1
0.9%
20030616 1
0.9%
ValueCountFrequency (%)
20201022 1
0.9%
20201007 1
0.9%
20200929 1
0.9%
20200813 1
0.9%
20200709 1
0.9%
20200514 1
0.9%
20200423 1
0.9%
20200407 1
0.9%
20200219 1
0.9%
20200115 1
0.9%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1016.0 B
1
70 
3
41 

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 70
63.1%
3 41
36.9%

Length

2024-04-22T02:42:37.452354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:42:37.614044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 70
63.1%
3 41
36.9%

영업상태명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1016.0 B
영업/정상
70 
폐업
41 

Length

Max length5
Median length5
Mean length3.8918919
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 70
63.1%
폐업 41
36.9%

Length

2024-04-22T02:42:37.803538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:42:37.980191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 70
63.1%
폐업 41
36.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1016.0 B
0
70 
2
41 

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 70
63.1%
2 41
36.9%

Length

2024-04-22T02:42:38.159644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:42:38.323160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 70
63.1%
2 41
36.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1016.0 B
정상
70 
폐업
41 

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 70
63.1%
폐업 41
36.9%

Length

2024-04-22T02:42:38.491942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:42:38.657813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 70
63.1%
폐업 41
36.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)90.0%
Missing71
Missing (%)64.0%
Infinite0
Infinite (%)0.0%
Mean20142345
Minimum20041120
Maximum20201127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T02:42:38.839902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041120
5-th percentile20059845
Q120095812
median20165323
Q320190276
95-th percentile20201124
Maximum20201127
Range160007
Interquartile range (IQR)94464.25

Descriptive statistics

Standard deviation54109.151
Coefficient of variation (CV)0.0026863382
Kurtosis-1.3069734
Mean20142345
Median Absolute Deviation (MAD)35589
Skewness-0.45976719
Sum8.0569382 × 108
Variance2.9278002 × 109
MonotonicityNot monotonic
2024-04-22T02:42:39.081857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
20080124 2
 
1.8%
20130730 2
 
1.8%
20100709 2
 
1.8%
20201124 2
 
1.8%
20081119 1
 
0.9%
20060310 1
 
0.9%
20060612 1
 
0.9%
20120316 1
 
0.9%
20051014 1
 
0.9%
20180803 1
 
0.9%
Other values (26) 26
 
23.4%
(Missing) 71
64.0%
ValueCountFrequency (%)
20041120 1
0.9%
20051014 1
0.9%
20060310 1
0.9%
20060331 1
0.9%
20060530 1
0.9%
20060612 1
0.9%
20080124 2
1.8%
20080219 1
0.9%
20081119 1
0.9%
20100709 2
1.8%
ValueCountFrequency (%)
20201127 1
0.9%
20201126 1
0.9%
20201124 2
1.8%
20201123 1
0.9%
20200701 1
0.9%
20200611 1
0.9%
20200512 1
0.9%
20200102 1
0.9%
20190419 1
0.9%
20190228 1
0.9%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

소재지전화
Text

MISSING 

Distinct66
Distinct (%)98.5%
Missing44
Missing (%)39.6%
Memory size1016.0 B
2024-04-22T02:42:39.913141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.1940299
Min length7

Characters and Unicode

Total characters616
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

Unique65 ?
Unique (%)97.0%

Sample

1st row245-2040
2nd row2565017
3rd row5875605
4th row426-5525
5th row961-0935
ValueCountFrequency (%)
5875605 2
 
3.0%
741-5997 1
 
1.5%
5911161 1
 
1.5%
053-586-4747 1
 
1.5%
523-1800 1
 
1.5%
584-5262 1
 
1.5%
584-1188 1
 
1.5%
053-651-0092 1
 
1.5%
053-423-9929 1
 
1.5%
706-5046 1
 
1.5%
Other values (56) 56
83.6%
2024-04-22T02:42:40.914501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 106
17.2%
0 80
13.0%
- 68
11.0%
3 62
10.1%
1 57
9.3%
6 54
8.8%
2 49
8.0%
4 42
 
6.8%
8 38
 
6.2%
7 33
 
5.4%
Other values (2) 27
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 546
88.6%
Dash Punctuation 68
 
11.0%
Close Punctuation 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 106
19.4%
0 80
14.7%
3 62
11.4%
1 57
10.4%
6 54
9.9%
2 49
9.0%
4 42
 
7.7%
8 38
 
7.0%
7 33
 
6.0%
9 25
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 616
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 106
17.2%
0 80
13.0%
- 68
11.0%
3 62
10.1%
1 57
9.3%
6 54
8.8%
2 49
8.0%
4 42
 
6.8%
8 38
 
6.2%
7 33
 
5.4%
Other values (2) 27
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 616
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 106
17.2%
0 80
13.0%
- 68
11.0%
3 62
10.1%
1 57
9.3%
6 54
8.8%
2 49
8.0%
4 42
 
6.8%
8 38
 
6.2%
7 33
 
5.4%
Other values (2) 27
 
4.4%

소재지면적
Real number (ℝ)

ZEROS 

Distinct63
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.20045
Minimum0
Maximum1682
Zeros42
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T02:42:41.154518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median23.1
Q380.32
95-th percentile470.68
Maximum1682
Range1682
Interquartile range (IQR)80.32

Descriptive statistics

Standard deviation204.97152
Coefficient of variation (CV)2.2724002
Kurtosis33.762787
Mean90.20045
Median Absolute Deviation (MAD)23.1
Skewness5.0700942
Sum10012.25
Variance42013.324
MonotonicityNot monotonic
2024-04-22T02:42:41.407132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 42
37.8%
45.1 5
 
4.5%
10.0 3
 
2.7%
21.0 2
 
1.8%
42.63 1
 
0.9%
48.9 1
 
0.9%
80.0 1
 
0.9%
37.73 1
 
0.9%
1.0 1
 
0.9%
23.1 1
 
0.9%
Other values (53) 53
47.7%
ValueCountFrequency (%)
0.0 42
37.8%
1.0 1
 
0.9%
9.0 1
 
0.9%
10.0 3
 
2.7%
12.0 1
 
0.9%
15.0 1
 
0.9%
16.77 1
 
0.9%
20.0 1
 
0.9%
21.0 2
 
1.8%
21.19 1
 
0.9%
ValueCountFrequency (%)
1682.0 1
0.9%
680.0 1
0.9%
617.0 1
0.9%
595.5 1
0.9%
504.0 1
0.9%
492.36 1
0.9%
449.0 1
0.9%
410.38 1
0.9%
303.72 1
0.9%
291.96 1
0.9%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

소재지전체주소
Text

Distinct98
Distinct (%)89.1%
Missing1
Missing (%)0.9%
Memory size1016.0 B
2024-04-22T02:42:42.467201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length23.872727
Min length19

Characters and Unicode

Total characters2626
Distinct characters139
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

Unique93 ?
Unique (%)84.5%

Sample

1st row대구광역시 중구 동인동3가 192-76번지
2nd row대구광역시 중구 계산동2가 현대백화점대구점 지하3층
3rd row대구광역시 중구 남산동 2110-9번지
4th row대구광역시 중구 종로2가 38번지
5th row대구광역시 중구 봉산동 223-18번지
ValueCountFrequency (%)
대구광역시 110
21.8%
달서구 22
 
4.4%
북구 20
 
4.0%
달성군 18
 
3.6%
동구 17
 
3.4%
서구 16
 
3.2%
다사읍 9
 
1.8%
수성구 9
 
1.8%
이현동 8
 
1.6%
서재리 7
 
1.4%
Other values (208) 268
53.2%
2024-04-22T02:42:43.730047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
492
18.7%
구 205
 
7.8%
동 123
 
4.7%
1 118
 
4.5%
대 116
 
4.4%
시 112
 
4.3%
광 110
 
4.2%
역 110
 
4.2%
지 94
 
3.6%
번 89
 
3.4%
Other values (129) 1057
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1512
57.6%
Decimal Number 537
 
20.4%
Space Separator 492
 
18.7%
Dash Punctuation 84
 
3.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 205
13.6%
동 123
 
8.1%
대 116
 
7.7%
시 112
 
7.4%
광 110
 
7.3%
역 110
 
7.3%
지 94
 
6.2%
번 89
 
5.9%
서 48
 
3.2%
달 41
 
2.7%
Other values (116) 464
30.7%
Decimal Number
ValueCountFrequency (%)
1 118
22.0%
0 70
13.0%
3 58
10.8%
2 58
10.8%
4 47
 
8.8%
9 41
 
7.6%
8 40
 
7.4%
6 37
 
6.9%
7 36
 
6.7%
5 32
 
6.0%
Space Separator
ValueCountFrequency (%)
492
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1512
57.6%
Common 1113
42.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 205
13.6%
동 123
 
8.1%
대 116
 
7.7%
시 112
 
7.4%
광 110
 
7.3%
역 110
 
7.3%
지 94
 
6.2%
번 89
 
5.9%
서 48
 
3.2%
달 41
 
2.7%
Other values (116) 464
30.7%
Common
ValueCountFrequency (%)
492
44.2%
1 118
 
10.6%
- 84
 
7.5%
0 70
 
6.3%
3 58
 
5.2%
2 58
 
5.2%
4 47
 
4.2%
9 41
 
3.7%
8 40
 
3.6%
6 37
 
3.3%
Other values (2) 68
 
6.1%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1512
57.6%
ASCII 1114
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
492
44.2%
1 118
 
10.6%
- 84
 
7.5%
0 70
 
6.3%
3 58
 
5.2%
2 58
 
5.2%
4 47
 
4.2%
9 41
 
3.7%
8 40
 
3.6%
6 37
 
3.3%
Other values (3) 69
 
6.2%
Hangul
ValueCountFrequency (%)
구 205
13.6%
동 123
 
8.1%
대 116
 
7.7%
시 112
 
7.4%
광 110
 
7.3%
역 110
 
7.3%
지 94
 
6.2%
번 89
 
5.9%
서 48
 
3.2%
달 41
 
2.7%
Other values (116) 464
30.7%

도로명전체주소
Text

MISSING 

Distinct94
Distinct (%)87.9%
Missing4
Missing (%)3.6%
Memory size1016.0 B
2024-04-22T02:42:44.735263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length28.859813
Min length19

Characters and Unicode

Total characters3088
Distinct characters183
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)84.1%

Sample

1st row대구광역시 중구 동덕로38길 98 (동인동3가, 삼익아파트)
2nd row대구광역시 중구 달구벌대로 2077, 지하3층 (계산동2가)
3rd row대구광역시 중구 중앙대로 265 (남산동)
4th row대구광역시 중구 중앙대로77길 43 (종로2가)
5th row대구광역시 중구 봉산문화1길 3 (봉산동)
ValueCountFrequency (%)
대구광역시 107
 
17.3%
달서구 21
 
3.4%
북구 21
 
3.4%
동구 17
 
2.8%
달성군 16
 
2.6%
서구 16
 
2.6%
다사읍 9
 
1.5%
수성구 9
 
1.5%
이현동 8
 
1.3%
21 8
 
1.3%
Other values (285) 385
62.4%
2024-04-22T02:42:46.003345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
510
 
16.5%
구 217
 
7.0%
동 141
 
4.6%
대 135
 
4.4%
시 111
 
3.6%
역 107
 
3.5%
광 107
 
3.5%
로 106
 
3.4%
) 95
 
3.1%
( 95
 
3.1%
Other values (173) 1464
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1817
58.8%
Space Separator 510
 
16.5%
Decimal Number 495
 
16.0%
Close Punctuation 95
 
3.1%
Open Punctuation 95
 
3.1%
Other Punctuation 58
 
1.9%
Dash Punctuation 14
 
0.5%
Uppercase Letter 3
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 217
 
11.9%
동 141
 
7.8%
대 135
 
7.4%
시 111
 
6.1%
역 107
 
5.9%
광 107
 
5.9%
로 106
 
5.8%
서 63
 
3.5%
성 49
 
2.7%
호 49
 
2.7%
Other values (155) 732
40.3%
Decimal Number
ValueCountFrequency (%)
1 93
18.8%
2 75
15.2%
0 67
13.5%
3 56
11.3%
4 46
9.3%
5 42
8.5%
7 37
 
7.5%
8 29
 
5.9%
9 25
 
5.1%
6 25
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
510
100.0%
Close Punctuation
ValueCountFrequency (%)
) 95
100.0%
Open Punctuation
ValueCountFrequency (%)
( 95
100.0%
Other Punctuation
ValueCountFrequency (%)
, 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1817
58.8%
Common 1267
41.0%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 217
 
11.9%
동 141
 
7.8%
대 135
 
7.4%
시 111
 
6.1%
역 107
 
5.9%
광 107
 
5.9%
로 106
 
5.8%
서 63
 
3.5%
성 49
 
2.7%
호 49
 
2.7%
Other values (155) 732
40.3%
Common
ValueCountFrequency (%)
510
40.3%
) 95
 
7.5%
( 95
 
7.5%
1 93
 
7.3%
2 75
 
5.9%
0 67
 
5.3%
, 58
 
4.6%
3 56
 
4.4%
4 46
 
3.6%
5 42
 
3.3%
Other values (5) 130
 
10.3%
Latin
ValueCountFrequency (%)
A 2
50.0%
B 1
25.0%
a 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1817
58.8%
ASCII 1271
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
510
40.1%
) 95
 
7.5%
( 95
 
7.5%
1 93
 
7.3%
2 75
 
5.9%
0 67
 
5.3%
, 58
 
4.6%
3 56
 
4.4%
4 46
 
3.6%
5 42
 
3.3%
Other values (8) 134
 
10.5%
Hangul
ValueCountFrequency (%)
구 217
 
11.9%
동 141
 
7.8%
대 135
 
7.4%
시 111
 
6.1%
역 107
 
5.9%
광 107
 
5.9%
로 106
 
5.8%
서 63
 
3.5%
성 49
 
2.7%
호 49
 
2.7%
Other values (155) 732
40.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)80.0%
Missing36
Missing (%)32.4%
Infinite0
Infinite (%)0.0%
Mean41958.813
Minimum41035
Maximum42946
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T02:42:46.257146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41035
5-th percentile41080.8
Q141480.5
median41765
Q342647
95-th percentile42927
Maximum42946
Range1911
Interquartile range (IQR)1166.5

Descriptive statistics

Standard deviation620.96113
Coefficient of variation (CV)0.014799301
Kurtosis-1.2508434
Mean41958.813
Median Absolute Deviation (MAD)498
Skewness0.24902726
Sum3146911
Variance385592.72
MonotonicityNot monotonic
2024-04-22T02:42:46.519662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41754 7
 
6.3%
42927 5
 
4.5%
42722 3
 
2.7%
42712 2
 
1.8%
41422 2
 
1.8%
41765 2
 
1.8%
41598 1
 
0.9%
41518 1
 
0.9%
42211 1
 
0.9%
42009 1
 
0.9%
Other values (50) 50
45.0%
(Missing) 36
32.4%
ValueCountFrequency (%)
41035 1
0.9%
41065 1
0.9%
41073 1
0.9%
41078 1
0.9%
41082 1
0.9%
41085 1
0.9%
41123 1
0.9%
41125 1
0.9%
41151 1
0.9%
41160 1
0.9%
ValueCountFrequency (%)
42946 1
 
0.9%
42928 1
 
0.9%
42927 5
4.5%
42914 1
 
0.9%
42905 1
 
0.9%
42820 1
 
0.9%
42740 1
 
0.9%
42729 1
 
0.9%
42722 3
2.7%
42712 2
 
1.8%

사업장명
Text

Distinct94
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Memory size1016.0 B
2024-04-22T02:42:47.403832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.2342342
Min length2

Characters and Unicode

Total characters692
Distinct characters143
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

Unique84 ?
Unique (%)75.7%

Sample

1st rowMJ물류
2nd row(주)코리아택배물류
3rd row대구우체국
4th row(주)일성화물
5th row개별화물
ValueCountFrequency (%)
개별화물 8
 
6.8%
주식회사 6
 
5.1%
개인용달 3
 
2.5%
김태복(개인용달 2
 
1.7%
그린로직스 2
 
1.7%
주)성진냉동 2
 
1.7%
mj물류 2
 
1.7%
주)일성화물 2
 
1.7%
주)능원통운 2
 
1.7%
동원물산 2
 
1.7%
Other values (86) 87
73.7%
2024-04-22T02:42:48.478050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 53
 
7.7%
) 51
 
7.4%
( 50
 
7.2%
물 37
 
5.3%
류 21
 
3.0%
운 17
 
2.5%
화 15
 
2.2%
스 15
 
2.2%
성 14
 
2.0%
개 14
 
2.0%
Other values (133) 405
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 574
82.9%
Close Punctuation 51
 
7.4%
Open Punctuation 50
 
7.2%
Space Separator 7
 
1.0%
Uppercase Letter 4
 
0.6%
Decimal Number 4
 
0.6%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 53
 
9.2%
물 37
 
6.4%
류 21
 
3.7%
운 17
 
3.0%
화 15
 
2.6%
스 15
 
2.6%
성 14
 
2.4%
개 14
 
2.4%
산 13
 
2.3%
로 12
 
2.1%
Other values (124) 363
63.2%
Decimal Number
ValueCountFrequency (%)
5 2
50.0%
9 1
25.0%
8 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
J 2
50.0%
M 2
50.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 574
82.9%
Common 114
 
16.5%
Latin 4
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 53
 
9.2%
물 37
 
6.4%
류 21
 
3.7%
운 17
 
3.0%
화 15
 
2.6%
스 15
 
2.6%
성 14
 
2.4%
개 14
 
2.4%
산 13
 
2.3%
로 12
 
2.1%
Other values (124) 363
63.2%
Common
ValueCountFrequency (%)
) 51
44.7%
( 50
43.9%
7
 
6.1%
. 2
 
1.8%
5 2
 
1.8%
9 1
 
0.9%
8 1
 
0.9%
Latin
ValueCountFrequency (%)
J 2
50.0%
M 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 574
82.9%
ASCII 118
 
17.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 53
 
9.2%
물 37
 
6.4%
류 21
 
3.7%
운 17
 
3.0%
화 15
 
2.6%
스 15
 
2.6%
성 14
 
2.4%
개 14
 
2.4%
산 13
 
2.3%
로 12
 
2.1%
Other values (124) 363
63.2%
ASCII
ValueCountFrequency (%)
) 51
43.2%
( 50
42.4%
7
 
5.9%
. 2
 
1.7%
J 2
 
1.7%
5 2
 
1.7%
M 2
 
1.7%
9 1
 
0.8%
8 1
 
0.8%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0155183 × 1013
Minimum2.0030127 × 1013
Maximum2.020113 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T02:42:48.722437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030127 × 1013
5-th percentile2.0060421 × 1013
Q12.0130529 × 1013
median2.0170203 × 1013
Q32.0191204 × 1013
95-th percentile2.0201124 × 1013
Maximum2.020113 × 1013
Range1.7100304 × 1011
Interquartile range (IQR)6.0674987 × 1010

Descriptive statistics

Standard deviation4.7534837 × 1010
Coefficient of variation (CV)0.0023584424
Kurtosis0.062567546
Mean2.0155183 × 1013
Median Absolute Deviation (MAD)3.0312015 × 1010
Skewness-1.0231951
Sum2.2372253 × 1015
Variance2.2595608 × 1021
MonotonicityNot monotonic
2024-04-22T02:42:49.221728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170420173404 1
 
0.9%
20190419164555 1
 
0.9%
20191218113230 1
 
0.9%
20190322160521 1
 
0.9%
20111208170449 1
 
0.9%
20080124163606 1
 
0.9%
20051014173920 1
 
0.9%
20120316151605 1
 
0.9%
20111030152250 1
 
0.9%
20060314101204 1
 
0.9%
Other values (101) 101
91.0%
ValueCountFrequency (%)
20030127125014 1
0.9%
20030317100327 1
0.9%
20030616095721 1
0.9%
20051014173920 1
0.9%
20060314101204 1
0.9%
20060331110958 1
0.9%
20060511092942 1
0.9%
20060519112212 1
0.9%
20060530144613 1
0.9%
20061228180533 1
0.9%
ValueCountFrequency (%)
20201130165624 1
0.9%
20201130101924 1
0.9%
20201127102427 1
0.9%
20201127102107 1
0.9%
20201126151137 1
0.9%
20201124112044 1
0.9%
20201124111944 1
0.9%
20201124103000 1
0.9%
20201123165351 1
0.9%
20201102113239 1
0.9%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1016.0 B
I
81 
U
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 81
73.0%
U 30
 
27.0%

Length

2024-04-22T02:42:49.500196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:42:49.800413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 81
73.0%
u 30
 
27.0%

데이터갱신일자
Date

Distinct40
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Memory size1016.0 B
Minimum2018-08-31 23:59:59
Maximum2020-12-02 02:40:00
2024-04-22T02:42:50.108656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T02:42:50.530521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)84.4%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean341526.56
Minimum325882.67
Maximum355567.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T02:42:50.931591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325882.67
5-th percentile332773.53
Q1337329.21
median340060.98
Q3345143.18
95-th percentile354807.05
Maximum355567.69
Range29685.027
Interquartile range (IQR)7813.9662

Descriptive statistics

Standard deviation6554.2589
Coefficient of variation (CV)0.019191066
Kurtosis-0.19875426
Mean341526.56
Median Absolute Deviation (MAD)3961.846
Skewness0.50151241
Sum37226395
Variance42958309
MonotonicityNot monotonic
2024-04-22T02:42:51.358870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
338412.28097 7
 
6.3%
335153.914139 5
 
4.5%
354807.053275 3
 
2.7%
337329.213273 3
 
2.7%
337384.429845 2
 
1.8%
333920.60853 2
 
1.8%
340411.771764 2
 
1.8%
346167.319648 1
 
0.9%
340060.975455 1
 
0.9%
335808.551664 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 2
 
1.8%
ValueCountFrequency (%)
325882.665956 1
0.9%
329289.647519 1
0.9%
330128.30921 1
0.9%
331202.514652 1
0.9%
332084.144439 1
0.9%
332298.355065 1
0.9%
333486.297605 1
0.9%
333920.60853 2
1.8%
334265.874813 1
0.9%
334665.403862 1
0.9%
ValueCountFrequency (%)
355567.693374 1
 
0.9%
355444.760056 1
 
0.9%
354981.40395 1
 
0.9%
354976.751149 1
 
0.9%
354807.053275 3
2.7%
354427.57914 1
 
0.9%
353971.781376 1
 
0.9%
353066.868527 1
 
0.9%
352818.049858 1
 
0.9%
352609.377005 1
 
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)84.4%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean263717.64
Minimum244838.38
Maximum274508.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T02:42:51.760513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244838.38
5-th percentile256903.99
Q1261405.69
median264257.42
Q3265463.04
95-th percentile269626.62
Maximum274508.22
Range29669.836
Interquartile range (IQR)4057.3526

Descriptive statistics

Standard deviation4235.8893
Coefficient of variation (CV)0.016062215
Kurtosis4.2747467
Mean263717.64
Median Absolute Deviation (MAD)1803.5765
Skewness-0.97502395
Sum28745222
Variance17942758
MonotonicityNot monotonic
2024-04-22T02:42:52.188659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264257.421959 7
 
6.3%
264331.984615 5
 
4.5%
264751.958417 3
 
2.7%
260416.780233 3
 
2.7%
260371.115494 2
 
1.8%
261405.687893 2
 
1.8%
272600.063881 2
 
1.8%
258023.722111 1
 
0.9%
259641.731033 1
 
0.9%
263173.00876 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 2
 
1.8%
ValueCountFrequency (%)
244838.382091 1
0.9%
248845.861218 1
0.9%
254318.70007 1
0.9%
256442.855337 1
0.9%
256643.317146 1
0.9%
256648.067692 1
0.9%
257287.881227 1
0.9%
257732.545487 1
0.9%
258023.722111 1
0.9%
258752.849392 1
0.9%
ValueCountFrequency (%)
274508.218106 1
0.9%
272600.063881 2
1.8%
272219.113572 1
0.9%
272092.19703 1
0.9%
269777.145939 1
0.9%
269400.831441 1
0.9%
269397.824527 1
0.9%
269374.299284 1
0.9%
269200.416749 1
0.9%
268253.789362 1
0.9%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1016.0 B
축산물운반업
111 

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 111
100.0%

Length

2024-04-22T02:42:52.593394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:42:52.888356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 111
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

권리주체일련번호
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1016.0 B
000
59 
L00
52 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 59
53.2%
L00 52
46.8%

Length

2024-04-22T02:42:53.193719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T02:42:53.362099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 59
53.2%
l00 52
46.8%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
01축산물운반업07_22_25_P341000034100000082017000120170228<NA>3폐업2폐업20170420<NA><NA><NA><NA>21.19<NA>대구광역시 중구 동인동3가 192-76번지대구광역시 중구 동덕로38길 98 (동인동3가, 삼익아파트)41907MJ물류20170420173404I2018-08-31 23:59:59.0<NA>345318.292408264611.160388축산물운반업<NA><NA>000<NA>
12축산물운반업07_22_25_P341000034100000082014000120140317<NA>3폐업2폐업20190419<NA><NA><NA>245-204026.45<NA>대구광역시 중구 계산동2가 현대백화점대구점 지하3층대구광역시 중구 달구벌대로 2077, 지하3층 (계산동2가)41936(주)코리아택배물류20190419164555U2019-04-21 02:40:00.0<NA>343588.735555264119.01075축산물운반업<NA><NA>L00<NA>
23축산물운반업07_22_25_P341000034100000082008000120081113<NA>3폐업2폐업20111229<NA><NA><NA>2565017175.44<NA>대구광역시 중구 남산동 2110-9번지대구광역시 중구 중앙대로 265 (남산동)41968대구우체국20111229181349I2018-08-31 23:59:59.0<NA>343570.613158263072.964308축산물운반업<NA><NA>000<NA>
34축산물운반업07_22_25_P341000034100000082005000120050324<NA>3폐업2폐업20151103<NA><NA><NA>587560565.6<NA>대구광역시 중구 종로2가 38번지대구광역시 중구 중앙대로77길 43 (종로2가)41934(주)일성화물20151103101503I2018-08-31 23:59:59.0<NA>343638.059396264281.159118축산물운반업<NA><NA>L00<NA>
45축산물운반업07_22_25_P341000034100000082002000120021012<NA>3폐업2폐업20190117<NA><NA><NA>426-552541.06<NA>대구광역시 중구 봉산동 223-18번지대구광역시 중구 봉산문화1길 3 (봉산동)41959개별화물20190117181754U2019-01-19 02:40:00.0<NA>344232.376733263656.676438축산물운반업<NA><NA>000<NA>
56축산물운반업07_22_25_P342000034200000082009000120090305<NA>3폐업2폐업20130730<NA><NA><NA>961-093588.2<NA>대구광역시 동구 동호동 98-40번지대구광역시 동구 안심로53길 50 (동호동)<NA>동원물산20130730140608I2018-08-31 23:59:59.0<NA>354807.053275264751.958417축산물운반업<NA><NA>000<NA>
67축산물운반업07_22_25_P342000034200000082009000220090417<NA>3폐업2폐업20170123<NA><NA><NA>985-3347132.0<NA>대구광역시 동구 용계동 662-1번지대구광역시 동구 화랑로 584 (용계동)<NA>(주)대현운송20170123145045I2018-08-31 23:59:59.0<NA>352275.472365264925.058164축산물운반업<NA><NA>L00<NA>
78축산물운반업07_22_25_P342000034200000082012000220121214<NA>3폐업2폐업20130730<NA><NA><NA><NA>0.0<NA>대구광역시 동구 동호동 98-40번지대구광역시 동구 안심로53길 50 (동호동)41078(주)동원물산20130730141313I2018-08-31 23:59:59.0<NA>354807.053275264751.958417축산물운반업<NA><NA>L00<NA>
89축산물운반업07_22_25_P342000034200000082017000220170914<NA>3폐업2폐업20190228<NA><NA><NA><NA>0.0<NA>대구광역시 동구 각산동 400번지 204동 1103호대구광역시 동구 경안로 822, 204동 1103호 (각산동, 각산푸르지오2단지)41073개인용달20190306110359U2019-03-08 02:40:00.0<NA>354981.40395265211.000263축산물운반업<NA><NA>000<NA>
910축산물운반업07_22_25_P342000034200000082015000120150217<NA>3폐업2폐업20170201<NA><NA><NA>053311700036.0<NA>대구광역시 동구 방촌동 1084-761번지대구광역시 동구 화랑로 383, 3층 302호 (방촌동)41163(주)그린물류20170203101322I2018-08-31 23:59:59.0<NA>350394.523064265428.417548축산물운반업<NA><NA>L00<NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
101102축산물운반업07_22_25_P348000034800000082018000120180731<NA>3폐업2폐업20190227<NA><NA><NA><NA>45.1<NA>대구광역시 달성군 다사읍 서재리 130번지대구광역시 달성군 다사읍 서재로 7442927개인용달20190227095822U2019-03-01 02:40:00.0<NA>335153.914139264331.984615축산물운반업<NA><NA>000<NA>
102103축산물운반업07_22_25_P348000034800000082016000520160721<NA>1영업/정상0정상<NA><NA><NA><NA><NA>45.1<NA>대구광역시 달성군 다사읍 서재리 130번지대구광역시 달성군 다사읍 서재로 7442927용산축산20160721135946I2018-08-31 23:59:59.0<NA>335153.914139264331.984615축산물운반업<NA><NA>000<NA>
103104축산물운반업07_22_25_P348000034800000082016000420160721<NA>1영업/정상0정상<NA><NA><NA><NA><NA>45.1<NA>대구광역시 달성군 다사읍 서재리 130번지대구광역시 달성군 다사읍 서재로 7442927다장화물20160721132347I2018-08-31 23:59:59.0<NA>335153.914139264331.984615축산물운반업<NA><NA>000<NA>
104105축산물운반업07_22_25_P348000034800000082016000220160502<NA>1영업/정상0정상<NA><NA><NA><NA><NA>45.1<NA>대구광역시 달성군 다사읍 서재리 130번지대구광역시 달성군 다사읍 서재로 7442927비산개인용달20160502083458I2018-08-31 23:59:59.0<NA>335153.914139264331.984615축산물운반업<NA><NA>000<NA>
105106축산물운반업07_22_25_P348000034800000082009000120090831<NA>1영업/정상0정상<NA><NA><NA><NA>616-619112.0<NA>대구광역시 달성군 옥포면 강림리 562-4번지대구광역시 달성군 옥포면 시저로 8<NA>산정오리20090910104609I2018-08-31 23:59:59.0<NA>329289.647519254318.70007축산물운반업<NA><NA>000<NA>
106107축산물운반업07_22_25_P348000034800000082006000220061228<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 달성군 논공읍 북리 256-1번지<NA><NA>앙경상사20061228180533I2018-08-31 23:59:59.0<NA><NA><NA>축산물운반업<NA><NA>000<NA>
107108축산물운반업07_22_25_P348000034800000082005000120050216<NA>1영업/정상0정상<NA><NA><NA><NA>6357280291.96<NA>대구광역시 달성군 화원읍 명곡리 198-4번지대구광역시 달성군 화원읍 성화로 1142946(주)하나물류시스템20150416173328I2018-08-31 23:59:59.0<NA>334750.422674256643.317146축산물운반업<NA><NA>L00<NA>
108109축산물운반업07_22_25_P348000034800000082004000120100402<NA>1영업/정상0정상<NA><NA><NA><NA>59111610.0<NA>대구광역시 달성군 하빈면 봉촌리 768-30번지대구광역시 달성군 하빈면 하빈남로 44842905화성물류(주)20170626175300I2018-08-31 23:59:59.0<NA>325882.665956263771.245271축산물운반업<NA><NA>L00<NA>
109110축산물운반업07_22_25_P348000034800000081998000119981022<NA>1영업/정상0정상<NA><NA><NA><NA>053)614-422110.0<NA>대구광역시 달성군 논공읍 북리 1-102번지<NA><NA>(주)장안특수운송20030317100327I2018-08-31 23:59:59.0<NA>331202.514652248845.861218축산물운반업<NA><NA>000<NA>
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