Overview

Dataset statistics

Number of variables33
Number of observations137
Missing cells1153
Missing cells (%)25.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.3 KiB
Average record size in memory286.0 B

Variable types

Numeric10
Categorical11
Unsupported7
Text4
DateTime1

Dataset

Description22년12월_6270000_대구광역시_07_22_25_P_축산물운반업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097396&dataSetDetailId=DDI_0000097423&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
축산업무구분명 has constant value ""Constant
인허가취소일자 has 137 (100.0%) missing valuesMissing
폐업일자 has 79 (57.7%) missing valuesMissing
휴업시작일자 has 137 (100.0%) missing valuesMissing
휴업종료일자 has 137 (100.0%) missing valuesMissing
재개업일자 has 137 (100.0%) missing valuesMissing
소재지전화 has 70 (51.1%) missing valuesMissing
소재지우편번호 has 137 (100.0%) missing valuesMissing
도로명전체주소 has 4 (2.9%) missing valuesMissing
도로명우편번호 has 36 (26.3%) missing valuesMissing
업태구분명 has 137 (100.0%) missing valuesMissing
좌표정보(X) has 2 (1.5%) missing valuesMissing
좌표정보(Y) has 2 (1.5%) missing valuesMissing
축산물가공업구분명 has 137 (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 56 (40.9%) zerosZeros

Reproduction

Analysis started2023-12-10 20:23:07.243108
Analysis finished2023-12-10 20:23:08.032528
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69
Minimum1
Maximum137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T05:23:08.599617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.8
Q135
median69
Q3103
95-th percentile130.2
Maximum137
Range136
Interquartile range (IQR)68

Descriptive statistics

Standard deviation39.692569
Coefficient of variation (CV)0.57525462
Kurtosis-1.2
Mean69
Median Absolute Deviation (MAD)34
Skewness0
Sum9453
Variance1575.5
MonotonicityStrictly increasing
2023-12-11T05:23:08.795664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
95 1
 
0.7%
89 1
 
0.7%
90 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
96 1
 
0.7%
104 1
 
0.7%
Other values (127) 127
92.7%
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 (%)
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%
129 1
0.7%
128 1
0.7%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
축산물운반업
137 

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 137
100.0%

Length

2023-12-11T05:23:08.975024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:09.089182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 137
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
07_22_25_P
137 

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 137
100.0%

Length

2023-12-11T05:23:09.194356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:09.309683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_25_p 137
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450510.9
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T05:23:09.403424image/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 deviation22436.878
Coefficient of variation (CV)0.0065024798
Kurtosis-1.3136442
Mean3450510.9
Median Absolute Deviation (MAD)20000
Skewness-0.22326999
Sum4.7272 × 108
Variance5.0341348 × 108
MonotonicityIncreasing
2023-12-11T05:23:09.534588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 27
19.7%
3470000 27
19.7%
3420000 23
16.8%
3480000 23
16.8%
3430000 17
12.4%
3460000 11
8.0%
3410000 5
 
3.6%
3440000 4
 
2.9%
ValueCountFrequency (%)
3410000 5
 
3.6%
3420000 23
16.8%
3430000 17
12.4%
3440000 4
 
2.9%
3450000 27
19.7%
3460000 11
8.0%
3470000 27
19.7%
3480000 23
16.8%
ValueCountFrequency (%)
3480000 23
16.8%
3470000 27
19.7%
3460000 11
8.0%
3450000 27
19.7%
3440000 4
 
2.9%
3430000 17
12.4%
3420000 23
16.8%
3410000 5
 
3.6%

관리번호
Real number (ℝ)

UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.450511 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T05:23:09.725902image/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 deviation2.2436878 × 1015
Coefficient of variation (CV)0.0065024798
Kurtosis-1.3136442
Mean3.450511 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.22326999
Sum-8.0682321 × 1018
Variance5.0341348 × 1030
MonotonicityNot monotonic
2023-12-11T05:23:09.891496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000000820050001 1
 
0.7%
347000000820150001 1
 
0.7%
347000000820080001 1
 
0.7%
347000000820200001 1
 
0.7%
347000000820210002 1
 
0.7%
347000000820020002 1
 
0.7%
347000000820070002 1
 
0.7%
347000000820130001 1
 
0.7%
347000000820180001 1
 
0.7%
347000000820050004 1
 
0.7%
Other values (127) 127
92.7%
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 (%)
348000000820220003 1
0.7%
348000000820220002 1
0.7%
348000000820220001 1
0.7%
348000000820210002 1
0.7%
348000000820210001 1
0.7%
348000000820200001 1
0.7%
348000000820180001 1
0.7%
348000000820160005 1
0.7%
348000000820160004 1
0.7%
348000000820160003 1
0.7%

인허가일자
Real number (ℝ)

Distinct122
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20136877
Minimum19980807
Maximum20221228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T05:23:10.040181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980807
5-th percentile20021010
Q120080220
median20160704
Q320200219
95-th percentile20220821
Maximum20221228
Range240421
Interquartile range (IQR)119999

Descriptive statistics

Standard deviation68475.681
Coefficient of variation (CV)0.0034005114
Kurtosis-0.94900904
Mean20136877
Median Absolute Deviation (MAD)50426
Skewness-0.50851311
Sum2.7587522 × 109
Variance4.6889189 × 109
MonotonicityNot monotonic
2023-12-11T05:23:10.181685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160704 7
 
5.1%
20021010 2
 
1.5%
20221012 2
 
1.5%
20191008 2
 
1.5%
20200407 2
 
1.5%
20211130 2
 
1.5%
20210512 2
 
1.5%
20160721 2
 
1.5%
20151030 2
 
1.5%
20221206 2
 
1.5%
Other values (112) 112
81.8%
ValueCountFrequency (%)
19980807 1
0.7%
19980827 1
0.7%
19981022 1
0.7%
19991022 1
0.7%
20010702 1
0.7%
20010803 1
0.7%
20021010 2
1.5%
20021012 1
0.7%
20030207 1
0.7%
20030616 1
0.7%
ValueCountFrequency (%)
20221228 1
0.7%
20221206 2
1.5%
20221012 2
1.5%
20220902 1
0.7%
20220831 1
0.7%
20220819 1
0.7%
20220817 1
0.7%
20220727 1
0.7%
20220704 1
0.7%
20220629 1
0.7%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
78 
3
50 
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 78
56.9%
3 50
36.5%
4 9
 
6.6%

Length

2023-12-11T05:23:10.302786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:10.411569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 78
56.9%
3 50
36.5%
4 9
 
6.6%

영업상태명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업/정상
78 
폐업
50 
취소/말소/만료/정지/중지
9 

Length

Max length14
Median length5
Mean length4.4963504
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 78
56.9%
폐업 50
36.5%
취소/말소/만료/정지/중지 9
 
6.6%

Length

2023-12-11T05:23:10.530853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:10.672538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 78
56.9%
폐업 50
36.5%
취소/말소/만료/정지/중지 9
 
6.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
78 
2
50 
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 78
56.9%
2 50
36.5%
4 9
 
6.6%

Length

2023-12-11T05:23:10.802829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:10.913763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 78
56.9%
2 50
36.5%
4 9
 
6.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
정상
78 
폐업
50 
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 78
56.9%
폐업 50
36.5%
말소 9
 
6.6%

Length

2023-12-11T05:23:11.044302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:11.180033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 78
56.9%
폐업 50
36.5%
말소 9
 
6.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)84.5%
Missing79
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean20163655
Minimum20041120
Maximum20220819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T05:23:11.308821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041120
5-th percentile20060328
Q120122920
median20190228
Q320210290
95-th percentile20210630
Maximum20220819
Range179699
Interquartile range (IQR)87371

Descriptive statistics

Standard deviation55090.939
Coefficient of variation (CV)0.0027321901
Kurtosis-0.62651277
Mean20163655
Median Absolute Deviation (MAD)20100.5
Skewness-0.91646861
Sum1.169492 × 109
Variance3.0350116 × 109
MonotonicityNot monotonic
2023-12-11T05:23:11.468253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
20210312 4
 
2.9%
20130730 2
 
1.5%
20080124 2
 
1.5%
20100709 2
 
1.5%
20210409 2
 
1.5%
20210324 2
 
1.5%
20201124 2
 
1.5%
20081119 1
 
0.7%
20180803 1
 
0.7%
20051014 1
 
0.7%
Other values (39) 39
28.5%
(Missing) 79
57.7%
ValueCountFrequency (%)
20041120 1
0.7%
20051014 1
0.7%
20060310 1
0.7%
20060331 1
0.7%
20060530 1
0.7%
20060612 1
0.7%
20080124 2
1.5%
20080219 1
0.7%
20081119 1
0.7%
20100709 2
1.5%
ValueCountFrequency (%)
20220819 1
 
0.7%
20220112 1
 
0.7%
20211227 1
 
0.7%
20210525 1
 
0.7%
20210413 1
 
0.7%
20210409 2
1.5%
20210402 1
 
0.7%
20210324 2
1.5%
20210319 1
 
0.7%
20210312 4
2.9%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

소재지전화
Text

MISSING 

Distinct65
Distinct (%)97.0%
Missing70
Missing (%)51.1%
Memory size1.2 KiB
2023-12-11T05:23:11.773491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.1492537
Min length7

Characters and Unicode

Total characters613
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

Unique63 ?
Unique (%)94.0%

Sample

1st row5875605
2nd row426-5525
3rd row245-2040
4th row2565017
5th row053-962-8800
ValueCountFrequency (%)
7680506 2
 
3.0%
5875605 2
 
3.0%
614-3007 1
 
1.5%
053-626-3314 1
 
1.5%
053)614-4221 1
 
1.5%
584-1188 1
 
1.5%
053-586-4747 1
 
1.5%
584-5262 1
 
1.5%
523-1800 1
 
1.5%
287-3113 1
 
1.5%
Other values (55) 55
82.1%
2023-12-11T05:23:12.273342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 105
17.1%
0 81
13.2%
- 66
10.8%
3 62
10.1%
1 54
8.8%
6 53
8.6%
2 47
7.7%
4 43
7.0%
8 39
 
6.4%
7 36
 
5.9%
Other values (2) 27
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 545
88.9%
Dash Punctuation 66
 
10.8%
Close Punctuation 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 105
19.3%
0 81
14.9%
3 62
11.4%
1 54
9.9%
6 53
9.7%
2 47
8.6%
4 43
7.9%
8 39
 
7.2%
7 36
 
6.6%
9 25
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 613
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 105
17.1%
0 81
13.2%
- 66
10.8%
3 62
10.1%
1 54
8.8%
6 53
8.6%
2 47
7.7%
4 43
7.0%
8 39
 
6.4%
7 36
 
5.9%
Other values (2) 27
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 613
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 105
17.1%
0 81
13.2%
- 66
10.8%
3 62
10.1%
1 54
8.8%
6 53
8.6%
2 47
7.7%
4 43
7.0%
8 39
 
6.4%
7 36
 
5.9%
Other values (2) 27
 
4.4%

소재지면적
Real number (ℝ)

ZEROS 

Distinct73
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.364234
Minimum0
Maximum1682
Zeros56
Zeros (%)40.9%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T05:23:12.485152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median23
Q370.2
95-th percentile418.104
Maximum1682
Range1682
Interquartile range (IQR)70.2

Descriptive statistics

Standard deviation186.72023
Coefficient of variation (CV)2.3827226
Kurtosis41.200511
Mean78.364234
Median Absolute Deviation (MAD)23
Skewness5.586179
Sum10735.9
Variance34864.445
MonotonicityNot monotonic
2023-12-11T05:23:12.704249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 56
40.9%
45.1 5
 
3.6%
10.0 3
 
2.2%
99.0 2
 
1.5%
43.61 2
 
1.5%
21.0 2
 
1.5%
504.0 1
 
0.7%
15.0 1
 
0.7%
74.88 1
 
0.7%
27.0 1
 
0.7%
Other values (63) 63
46.0%
ValueCountFrequency (%)
0.0 56
40.9%
1.0 1
 
0.7%
9.0 1
 
0.7%
10.0 3
 
2.2%
12.0 1
 
0.7%
15.0 1
 
0.7%
16.77 1
 
0.7%
20.0 1
 
0.7%
21.0 2
 
1.5%
21.19 1
 
0.7%
ValueCountFrequency (%)
1682.0 1
0.7%
680.0 1
0.7%
617.0 1
0.7%
595.5 1
0.7%
504.0 1
0.7%
492.36 1
0.7%
449.0 1
0.7%
410.38 1
0.7%
303.72 1
0.7%
291.96 1
0.7%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

소재지전체주소
Text

Distinct119
Distinct (%)87.5%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2023-12-11T05:23:13.067336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length23.514706
Min length18

Characters and Unicode

Total characters3198
Distinct characters143
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)80.1%

Sample

1st row대구광역시 중구 종로*가 **번지
2nd row대구광역시 중구 봉산동 ***-**번지
3rd row대구광역시 중구 동인동*가 ***-**번지
4th row대구광역시 중구 계산동*가 현대백화점대구점 지하*층
5th row대구광역시 중구 남산동 ****-*번지
ValueCountFrequency (%)
대구광역시 136
21.5%
번지 65
 
10.3%
65
 
10.3%
달서구 27
 
4.3%
북구 26
 
4.1%
동구 23
 
3.6%
달성군 23
 
3.6%
호 23
 
3.6%
서구 17
 
2.7%
다사읍 12
 
1.9%
Other values (116) 215
34.0%
2023-12-11T05:23:13.677533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 657
20.5%
610
19.1%
구 254
 
7.9%
동 158
 
4.9%
대 144
 
4.5%
시 139
 
4.3%
광 136
 
4.3%
역 136
 
4.3%
- 100
 
3.1%
지 72
 
2.3%
Other values (133) 792
24.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1805
56.4%
Other Punctuation 657
 
20.5%
Space Separator 610
 
19.1%
Dash Punctuation 100
 
3.1%
Decimal Number 25
 
0.8%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 254
14.1%
동 158
 
8.8%
대 144
 
8.0%
시 139
 
7.7%
광 136
 
7.5%
역 136
 
7.5%
지 72
 
4.0%
번 65
 
3.6%
서 57
 
3.2%
달 52
 
2.9%
Other values (121) 592
32.8%
Decimal Number
ValueCountFrequency (%)
6 6
24.0%
1 5
20.0%
2 4
16.0%
7 3
12.0%
0 3
12.0%
3 2
 
8.0%
9 1
 
4.0%
8 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
* 657
100.0%
Space Separator
ValueCountFrequency (%)
610
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1805
56.4%
Common 1392
43.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 254
14.1%
동 158
 
8.8%
대 144
 
8.0%
시 139
 
7.7%
광 136
 
7.5%
역 136
 
7.5%
지 72
 
4.0%
번 65
 
3.6%
서 57
 
3.2%
달 52
 
2.9%
Other values (121) 592
32.8%
Common
ValueCountFrequency (%)
* 657
47.2%
610
43.8%
- 100
 
7.2%
6 6
 
0.4%
1 5
 
0.4%
2 4
 
0.3%
7 3
 
0.2%
0 3
 
0.2%
3 2
 
0.1%
9 1
 
0.1%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1805
56.4%
ASCII 1393
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 657
47.2%
610
43.8%
- 100
 
7.2%
6 6
 
0.4%
1 5
 
0.4%
2 4
 
0.3%
7 3
 
0.2%
0 3
 
0.2%
3 2
 
0.1%
B 1
 
0.1%
Other values (2) 2
 
0.1%
Hangul
ValueCountFrequency (%)
구 254
14.1%
동 158
 
8.8%
대 144
 
8.0%
시 139
 
7.7%
광 136
 
7.5%
역 136
 
7.5%
지 72
 
4.0%
번 65
 
3.6%
서 57
 
3.2%
달 52
 
2.9%
Other values (121) 592
32.8%

도로명전체주소
Text

MISSING 

Distinct118
Distinct (%)88.7%
Missing4
Missing (%)2.9%
Memory size1.2 KiB
2023-12-11T05:23:14.058983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length30.030075
Min length19

Characters and Unicode

Total characters3994
Distinct characters195
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

Unique112 ?
Unique (%)84.2%

Sample

1st row대구광역시 중구 중앙대로**길 ** (종로*가)
2nd row대구광역시 중구 봉산문화*길 * (봉산동)
3rd row대구광역시 중구 동덕로**길 ** (동인동*가, 삼익아파트)
4th row대구광역시 중구 달구벌대로 ****, 지하*층 (계산동*가)
5th row대구광역시 중구 중앙대로 *** (남산동)
ValueCountFrequency (%)
대구광역시 133
 
16.8%
126
 
15.9%
호 45
 
5.7%
북구 27
 
3.4%
달서구 26
 
3.3%
동구 23
 
2.9%
달성군 21
 
2.7%
층 19
 
2.4%
동 17
 
2.2%
서구 17
 
2.2%
Other values (209) 336
42.5%
2023-12-11T05:23:14.597340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
657
16.4%
* 646
16.2%
구 272
 
6.8%
동 187
 
4.7%
대 171
 
4.3%
시 139
 
3.5%
역 134
 
3.4%
로 133
 
3.3%
광 133
 
3.3%
) 120
 
3.0%
Other values (185) 1402
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2320
58.1%
Other Punctuation 730
 
18.3%
Space Separator 657
 
16.4%
Close Punctuation 120
 
3.0%
Open Punctuation 120
 
3.0%
Decimal Number 22
 
0.6%
Dash Punctuation 19
 
0.5%
Uppercase Letter 5
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 272
 
11.7%
동 187
 
8.1%
대 171
 
7.4%
시 139
 
6.0%
역 134
 
5.8%
로 133
 
5.7%
광 133
 
5.7%
서 74
 
3.2%
호 68
 
2.9%
성 65
 
2.8%
Other values (164) 944
40.7%
Decimal Number
ValueCountFrequency (%)
2 4
18.2%
4 4
18.2%
5 3
13.6%
9 3
13.6%
0 2
9.1%
6 2
9.1%
1 1
 
4.5%
8 1
 
4.5%
7 1
 
4.5%
3 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
40.0%
B 1
20.0%
G 1
20.0%
D 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 646
88.5%
, 84
 
11.5%
Space Separator
ValueCountFrequency (%)
657
100.0%
Close Punctuation
ValueCountFrequency (%)
) 120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2320
58.1%
Common 1668
41.8%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 272
 
11.7%
동 187
 
8.1%
대 171
 
7.4%
시 139
 
6.0%
역 134
 
5.8%
로 133
 
5.7%
광 133
 
5.7%
서 74
 
3.2%
호 68
 
2.9%
성 65
 
2.8%
Other values (164) 944
40.7%
Common
ValueCountFrequency (%)
657
39.4%
* 646
38.7%
) 120
 
7.2%
( 120
 
7.2%
, 84
 
5.0%
- 19
 
1.1%
2 4
 
0.2%
4 4
 
0.2%
5 3
 
0.2%
9 3
 
0.2%
Other values (6) 8
 
0.5%
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 2320
58.1%
ASCII 1674
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
657
39.2%
* 646
38.6%
) 120
 
7.2%
( 120
 
7.2%
, 84
 
5.0%
- 19
 
1.1%
2 4
 
0.2%
4 4
 
0.2%
5 3
 
0.2%
9 3
 
0.2%
Other values (11) 14
 
0.8%
Hangul
ValueCountFrequency (%)
구 272
 
11.7%
동 187
 
8.1%
대 171
 
7.4%
시 139
 
6.0%
역 134
 
5.8%
로 133
 
5.7%
광 133
 
5.7%
서 74
 
3.2%
호 68
 
2.9%
성 65
 
2.8%
Other values (164) 944
40.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)76.2%
Missing36
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean41976.455
Minimum41035
Maximum42971
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T05:23:14.788284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41035
5-th percentile41085
Q141444
median41765
Q342712
95-th percentile42927
Maximum42971
Range1936
Interquartile range (IQR)1268

Descriptive statistics

Standard deviation647.2729
Coefficient of variation (CV)0.015419904
Kurtosis-1.4110322
Mean41976.455
Median Absolute Deviation (MAD)514
Skewness0.20137755
Sum4239622
Variance418962.21
MonotonicityNot monotonic
2023-12-11T05:23:14.994963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41754 7
 
5.1%
42927 6
 
4.4%
42722 5
 
3.6%
41412 2
 
1.5%
41422 2
 
1.5%
41755 2
 
1.5%
41765 2
 
1.5%
42914 2
 
1.5%
42712 2
 
1.5%
41502 2
 
1.5%
Other values (67) 69
50.4%
(Missing) 36
26.3%
ValueCountFrequency (%)
41035 1
0.7%
41065 1
0.7%
41073 1
0.7%
41078 1
0.7%
41082 1
0.7%
41085 1
0.7%
41099 1
0.7%
41112 1
0.7%
41123 2
1.5%
41125 1
0.7%
ValueCountFrequency (%)
42971 1
 
0.7%
42946 1
 
0.7%
42943 1
 
0.7%
42928 1
 
0.7%
42927 6
4.4%
42914 2
 
1.5%
42907 1
 
0.7%
42905 1
 
0.7%
42820 1
 
0.7%
42812 1
 
0.7%

사업장명
Text

Distinct116
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T05:23:15.375315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.1313869
Min length2

Characters and Unicode

Total characters840
Distinct characters161
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

Unique105 ?
Unique (%)76.6%

Sample

1st row(주)일성화물
2nd row개별화물
3rd rowMJ물류
4th row(주)코리아택배물류
5th row대구우체국
ValueCountFrequency (%)
개별화물 9
 
6.1%
주식회사 7
 
4.7%
개인용달 4
 
2.7%
mj물류 3
 
2.0%
주)일성화물 2
 
1.4%
주)일성로지스 2
 
1.4%
미소물류 2
 
1.4%
주)능원통운 2
 
1.4%
동원물산 2
 
1.4%
그린로직스 2
 
1.4%
Other values (111) 113
76.4%
2023-12-11T05:23:15.955488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 60
 
7.1%
) 57
 
6.8%
( 56
 
6.7%
물 48
 
5.7%
류 29
 
3.5%
운 19
 
2.3%
화 19
 
2.3%
스 18
 
2.1%
성 17
 
2.0%
수 16
 
1.9%
Other values (151) 501
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 696
82.9%
Close Punctuation 57
 
6.8%
Open Punctuation 56
 
6.7%
Space Separator 11
 
1.3%
Decimal Number 10
 
1.2%
Uppercase Letter 8
 
1.0%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 60
 
8.6%
물 48
 
6.9%
류 29
 
4.2%
운 19
 
2.7%
화 19
 
2.7%
스 18
 
2.6%
성 17
 
2.4%
수 16
 
2.3%
대 16
 
2.3%
개 16
 
2.3%
Other values (137) 438
62.9%
Decimal Number
ValueCountFrequency (%)
5 3
30.0%
1 2
20.0%
8 2
20.0%
9 1
 
10.0%
2 1
 
10.0%
6 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
M 3
37.5%
J 3
37.5%
D 1
 
12.5%
G 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 696
82.9%
Common 136
 
16.2%
Latin 8
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 60
 
8.6%
물 48
 
6.9%
류 29
 
4.2%
운 19
 
2.7%
화 19
 
2.7%
스 18
 
2.6%
성 17
 
2.4%
수 16
 
2.3%
대 16
 
2.3%
개 16
 
2.3%
Other values (137) 438
62.9%
Common
ValueCountFrequency (%)
) 57
41.9%
( 56
41.2%
11
 
8.1%
5 3
 
2.2%
. 2
 
1.5%
1 2
 
1.5%
8 2
 
1.5%
9 1
 
0.7%
2 1
 
0.7%
6 1
 
0.7%
Latin
ValueCountFrequency (%)
M 3
37.5%
J 3
37.5%
D 1
 
12.5%
G 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 696
82.9%
ASCII 144
 
17.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 60
 
8.6%
물 48
 
6.9%
류 29
 
4.2%
운 19
 
2.7%
화 19
 
2.7%
스 18
 
2.6%
성 17
 
2.4%
수 16
 
2.3%
대 16
 
2.3%
개 16
 
2.3%
Other values (137) 438
62.9%
ASCII
ValueCountFrequency (%)
) 57
39.6%
( 56
38.9%
11
 
7.6%
5 3
 
2.1%
M 3
 
2.1%
J 3
 
2.1%
. 2
 
1.4%
1 2
 
1.4%
8 2
 
1.4%
9 1
 
0.7%
Other values (4) 4
 
2.8%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.018177 × 1013
Minimum2.0030616 × 1013
Maximum2.0221229 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T05:23:16.207415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030616 × 1013
5-th percentile2.0080125 × 1013
Q12.0160721 × 1013
median2.0200811 × 1013
Q32.0211227 × 1013
95-th percentile2.0221035 × 1013
Maximum2.0221229 × 1013
Range1.9061306 × 1011
Interquartile range (IQR)5.0505969 × 1010

Descriptive statistics

Standard deviation4.6215546 × 1010
Coefficient of variation (CV)0.0022899649
Kurtosis1.1969736
Mean2.018177 × 1013
Median Absolute Deviation (MAD)2.0007937 × 1010
Skewness-1.4298012
Sum2.7649025 × 1015
Variance2.1358767 × 1021
MonotonicityNot monotonic
2023-12-11T05:23:16.469997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151103101503 1
 
0.7%
20210814095700 1
 
0.7%
20210324130148 1
 
0.7%
20221107144837 1
 
0.7%
20211130180331 1
 
0.7%
20220930160015 1
 
0.7%
20220224091042 1
 
0.7%
20160601150515 1
 
0.7%
20190322160521 1
 
0.7%
20210226105003 1
 
0.7%
Other values (127) 127
92.7%
ValueCountFrequency (%)
20030616095721 1
0.7%
20051014173920 1
0.7%
20060314101204 1
0.7%
20060331110958 1
0.7%
20060519112212 1
0.7%
20060530144613 1
0.7%
20080124163606 1
0.7%
20080125102350 1
0.7%
20080219120214 1
0.7%
20081119085911 1
0.7%
ValueCountFrequency (%)
20221229155104 1
0.7%
20221228092607 1
0.7%
20221209091922 1
0.7%
20221206100634 1
0.7%
20221206100513 1
0.7%
20221107144837 1
0.7%
20221102102024 1
0.7%
20221018135914 1
0.7%
20221012092233 1
0.7%
20221005130403 1
0.7%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
72 
U
65 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 72
52.6%
U 65
47.4%

Length

2023-12-11T05:23:17.071693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:17.242467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 72
52.6%
u 65
47.4%

데이터갱신일자
Date

Distinct78
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-31 02:40:00
2023-12-11T05:23:17.480884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:23:17.754035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct114
Distinct (%)84.4%
Missing2
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean341742.29
Minimum325882.67
Maximum355567.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T05:23:17.980778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325882.67
5-th percentile332475.53
Q1337329.21
median340129.35
Q3345555.8
95-th percentile354635.53
Maximum355567.69
Range29685.027
Interquartile range (IQR)8226.5889

Descriptive statistics

Standard deviation6600.0007
Coefficient of variation (CV)0.0193128
Kurtosis-0.3489067
Mean341742.29
Median Absolute Deviation (MAD)4103.029
Skewness0.4785212
Sum46135210
Variance43560009
MonotonicityNot monotonic
2023-12-11T05:23:18.258260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
338412.280970161 7
 
5.1%
335153.914138781 5
 
3.6%
337329.213272566 5
 
3.6%
354807.053275416 3
 
2.2%
346671.304307472 2
 
1.5%
340411.77176403 2
 
1.5%
333920.608530076 2
 
1.5%
337384.429844836 2
 
1.5%
352275.472365567 2
 
1.5%
338506.170770433 1
 
0.7%
Other values (104) 104
75.9%
(Missing) 2
 
1.5%
ValueCountFrequency (%)
325882.665956232 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%
333920.608530076 2
1.5%
ValueCountFrequency (%)
355567.693373811 1
 
0.7%
355444.760055803 1
 
0.7%
354981.403949833 1
 
0.7%
354976.751149176 1
 
0.7%
354807.053275416 3
2.2%
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 

Distinct114
Distinct (%)84.4%
Missing2
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean263761.44
Minimum244838.38
Maximum274508.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T05:23:18.527718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244838.38
5-th percentile257095.94
Q1261338.28
median264257.42
Q3265536.78
95-th percentile270555.23
Maximum274508.22
Range29669.836
Interquartile range (IQR)4198.5011

Descriptive statistics

Standard deviation4189.5446
Coefficient of variation (CV)0.01588384
Kurtosis3.5515646
Mean263761.44
Median Absolute Deviation (MAD)2004.0515
Skewness-0.78578617
Sum35607794
Variance17552284
MonotonicityNot monotonic
2023-12-11T05:23:18.796630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264257.421958859 7
 
5.1%
264331.984614683 5
 
3.6%
260416.780232605 5
 
3.6%
264751.958416552 3
 
2.2%
264957.682619359 2
 
1.5%
272600.06388059 2
 
1.5%
261405.687893304 2
 
1.5%
260371.115494005 2
 
1.5%
264925.058163558 2
 
1.5%
259663.727328376 1
 
0.7%
Other values (104) 104
75.9%
(Missing) 2
 
1.5%
ValueCountFrequency (%)
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%
257287.881227306 1
0.7%
257516.968662899 1
0.7%
257732.367201114 1
0.7%
ValueCountFrequency (%)
274508.218106082 1
0.7%
272723.483445574 1
0.7%
272600.06388059 2
1.5%
272219.113571771 1
0.7%
272092.197029608 1
0.7%
270560.459102708 1
0.7%
270552.994262756 1
0.7%
269777.145938524 1
0.7%
269400.831440846 1
0.7%
269397.824527494 1
0.7%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
축산물운반업
137 

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 137
100.0%

Length

2023-12-11T05:23:19.031967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:19.183515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 137
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

축산일련번호
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
98 
0
39 

Length

Max length4
Median length4
Mean length3.1459854
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> 98
71.5%
0 39
 
28.5%

Length

2023-12-11T05:23:19.341238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:19.506526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
71.5%
0 39
 
28.5%

권리주체일련번호
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
000
77 
L00
60 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 77
56.2%
L00 60
43.8%

Length

2023-12-11T05:23:19.664128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:19.886418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 77
56.2%
l00 60
43.8%

총직원수
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
98 
0
39 

Length

Max length4
Median length4
Mean length3.1459854
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> 98
71.5%
0 39
 
28.5%

Length

2023-12-11T05:23:20.108527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:23:20.367764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
71.5%
0 39
 
28.5%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
01축산물운반업07_22_25_P341000034100000082005000120050324<NA>3폐업2폐업20151103<NA><NA><NA>587560565.6<NA>대구광역시 중구 종로*가 **번지대구광역시 중구 중앙대로**길 ** (종로*가)41934(주)일성화물20151103101503I2018-08-31 23:59:59.0<NA>343638.059396264281.159118축산물운반업<NA><NA>L00<NA>
12축산물운반업07_22_25_P341000034100000082002000120021012<NA>3폐업2폐업20190117<NA><NA><NA>426-552541.06<NA>대구광역시 중구 봉산동 ***-**번지대구광역시 중구 봉산문화*길 * (봉산동)41959개별화물20190117181754U2019-01-19 02:40:00.0<NA>344232.376733263656.676438축산물운반업<NA><NA>000<NA>
23축산물운반업07_22_25_P341000034100000082017000120170228<NA>3폐업2폐업20170420<NA><NA><NA><NA>21.19<NA>대구광역시 중구 동인동*가 ***-**번지대구광역시 중구 동덕로**길 ** (동인동*가, 삼익아파트)41907MJ물류20170420173404I2018-08-31 23:59:59.0<NA>345318.292408264611.160388축산물운반업<NA><NA>000<NA>
34축산물운반업07_22_25_P341000034100000082014000120140317<NA>3폐업2폐업20190419<NA><NA><NA>245-204026.45<NA>대구광역시 중구 계산동*가 현대백화점대구점 지하*층대구광역시 중구 달구벌대로 ****, 지하*층 (계산동*가)41936(주)코리아택배물류20190419164555U2019-04-21 02:40:00.0<NA>343588.735555264119.01075축산물운반업<NA><NA>L00<NA>
45축산물운반업07_22_25_P341000034100000082008000120081113<NA>3폐업2폐업20111229<NA><NA><NA>2565017175.44<NA>대구광역시 중구 남산동 ****-*번지대구광역시 중구 중앙대로 *** (남산동)41968대구우체국20111229181349I2018-08-31 23:59:59.0<NA>343570.613159263072.964308축산물운반업<NA><NA>000<NA>
56축산물운반업07_22_25_P342000034200000082020000120200219<NA>1영업/정상0정상<NA><NA><NA><NA>053-962-88000.0<NA>대구광역시 동구 동호동 ***-*대구광역시 동구 동호로*길 *-* (동호동)41085(주)디비로지스20201019101309U2020-10-21 02:40:00.0<NA>355444.760056264104.497088축산물운반업<NA><NA>L00<NA>
67축산물운반업07_22_25_P342000034200000082021000320211130<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 동구 신평동 **-**대구광역시 동구 신덕로 ***(신평동)41123조선에프앤비20221018135914U2022-10-20 02:40:00.0<NA>352677.090755266082.910074축산물운반업<NA>0L000
78축산물운반업07_22_25_P342000034200000082021000220210512<NA>1영업/정상0정상<NA><NA><NA><NA>31404795582.28<NA>대구광역시 동구 신천동 90-1 601-2호대구광역시 동구 동대구로 487, 대구빌딩 601-2호 (신천동)41256주식회사 재성디앤에스20221229155104U2022-12-31 02:40:00.0<NA>346671.304307264957.682619축산물운반업<NA>0L000
89축산물운반업07_22_25_P342000034200000082017000220170914<NA>3폐업2폐업20190228<NA><NA><NA><NA>0.0<NA>대구광역시 동구 각산동 ***번지 ***동 ****호대구광역시 동구 경안로 ***, ***동 ****호 (각산동, 각산푸르지오*단지)41073개인용달20190306110359U2019-03-08 02:40:00.0<NA>354981.40395265211.000263축산물운반업<NA><NA>000<NA>
910축산물운반업07_22_25_P342000034200000082008000120080220<NA>1영업/정상0정상<NA><NA><NA><NA>759482849.5<NA>대구광역시 동구 방촌동 ****-***대구광역시 동구 화랑로 *** (방촌동)<NA>(주)성진냉동20220722101424U2022-07-24 02:40:00.0<NA>350504.394278265405.168322축산물운반업<NA>0L000
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
127128축산물운반업07_22_25_P348000034800000082004000320040816<NA>3폐업2폐업20041120<NA><NA><NA>592-66460.0<NA>대구광역시 달성군 화원읍 천내리 ***-*번지대구광역시 달성군 화원읍 성천로 ***<NA>(주)우유운수20060519112212I2018-08-31 23:59:59.0<NA>335033.043397257287.881227축산물운반업<NA><NA>000<NA>
128129축산물운반업07_22_25_P348000034800000082006000120060524<NA>3폐업2폐업20080124<NA><NA><NA>588-5262122.0<NA>대구광역시 달성군 다사읍 서재리 ***-*번지대구광역시 달성군 다사읍 서재로 ***<NA>고령축협한우판매장20080125102350I2018-08-31 23:59:59.0<NA>335235.3351264720.133098축산물운반업<NA><NA>000<NA>
129130축산물운반업07_22_25_P348000034800000082008000220081103<NA>3폐업2폐업20201124<NA><NA><NA>637-642110.0<NA>대구광역시 달성군 화원읍 명곡리 ***-*대구광역시 달성군 화원읍 비슬로***길 **-*<NA>(주)미담20201124112044U2020-11-26 02:40:00.0<NA>334665.403862256442.855337축산물운반업<NA><NA>L00<NA>
130131축산물운반업07_22_25_P348000034800000082008000320081128<NA>3폐업2폐업20201124<NA><NA><NA>614-30070.0<NA>대구광역시 달성군 현풍읍 원교리 **대구광역시 달성군 현풍읍 비슬로***길 *<NA>달성우체국20201124111944U2020-11-26 02:40:00.0<NA>330128.30921244838.382091축산물운반업<NA><NA>000<NA>
131132축산물운반업07_22_25_P348000034800000082016000120160405<NA>3폐업2폐업20201126<NA><NA><NA>053-593-2330617.0<NA>대구광역시 달성군 다사읍 서재리 ****-*대구광역시 달성군 다사읍 서재로**길 **42928(주)한스미트20201126151137U2020-11-28 02:40:00.0<NA>334890.551707264040.034795축산물운반업<NA><NA>L00<NA>
132133축산물운반업07_22_25_P348000034800000082016000320160621<NA>3폐업2폐업20180803<NA><NA><NA><NA>45.1<NA>대구광역시 달성군 다사읍 서재리 ***번지대구광역시 달성군 다사읍 서재로 **42927경북축산20180803105013I2018-08-31 23:59:59.0<NA>335153.914139264331.984615축산물운반업<NA><NA>000<NA>
133134축산물운반업07_22_25_P348000034800000081998000119981022<NA>4취소/말소/만료/정지/중지4말소20210312<NA><NA><NA>053)614-422110.0<NA>대구광역시 달성군 논공읍 북리 *-***<NA><NA>(주)장안특수운송20210312100536U2021-03-14 02:40:00.0<NA>331202.514652248845.861218축산물운반업<NA><NA>000<NA>
134135축산물운반업07_22_25_P348000034800000082006000220061228<NA>4취소/말소/만료/정지/중지4말소20210312<NA><NA><NA><NA>0.0<NA>대구광역시 달성군 논공읍 북리 ***-*<NA><NA>앙경상사20210312100642U2021-03-14 02:40:00.0<NA><NA><NA>축산물운반업<NA><NA>000<NA>
135136축산물운반업07_22_25_P348000034800000082009000120090831<NA>4취소/말소/만료/정지/중지4말소20210312<NA><NA><NA>616-619112.0<NA>대구광역시 달성군 옥포읍 강림리 ***-*대구광역시 달성군 옥포읍 시저로 *<NA>산정오리20210312100600U2021-03-14 02:40:00.0<NA>329289.647519254318.70007축산물운반업<NA><NA>000<NA>
136137축산물운반업07_22_25_P348000034800000082021000220210810<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 달성군 화원읍 성산리 ** ***호대구광역시 달성군 화원읍 사문진로 ***, ***호 (화원삼주타운)42943(주) 화성운수20220707153140U2022-07-12 02:40:00.0<NA>334485.229602257516.968663축산물운반업<NA>0L000