Overview

Dataset statistics

Number of variables33
Number of observations128
Missing cells1070
Missing cells (%)25.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.8 KiB
Average record size in memory286.0 B

Variable types

Numeric10
Categorical11
Unsupported7
Text4
DateTime1

Dataset

Description22년07월_6270000_대구광역시_07_22_25_P_축산물운반업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000094050&dataSetDetailId=DDI_0000094061&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
축산업무구분명 has constant value ""Constant
인허가취소일자 has 128 (100.0%) missing valuesMissing
폐업일자 has 71 (55.5%) missing valuesMissing
휴업시작일자 has 128 (100.0%) missing valuesMissing
휴업종료일자 has 128 (100.0%) missing valuesMissing
재개업일자 has 128 (100.0%) missing valuesMissing
소재지전화 has 58 (45.3%) missing valuesMissing
소재지우편번호 has 128 (100.0%) missing valuesMissing
도로명전체주소 has 4 (3.1%) missing valuesMissing
도로명우편번호 has 36 (28.1%) missing valuesMissing
업태구분명 has 128 (100.0%) missing valuesMissing
좌표정보(X) has 2 (1.6%) missing valuesMissing
좌표정보(Y) has 2 (1.6%) missing valuesMissing
축산물가공업구분명 has 128 (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 52 (40.6%) zerosZeros

Reproduction

Analysis started2024-04-20 20:00:16.223011
Analysis finished2024-04-20 20:00:16.985789
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.5
Minimum1
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T05:00:17.182004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.35
Q132.75
median64.5
Q396.25
95-th percentile121.65
Maximum128
Range127
Interquartile range (IQR)63.5

Descriptive statistics

Standard deviation37.094474
Coefficient of variation (CV)0.57510812
Kurtosis-1.2
Mean64.5
Median Absolute Deviation (MAD)32
Skewness0
Sum8256
Variance1376
MonotonicityStrictly increasing
2024-04-21T05:00:17.637299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
66 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
Other values (118) 118
92.2%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
축산물운반업
128 

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 128
100.0%

Length

2024-04-21T05:00:17.992097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:00:18.159662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 128
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
07_22_25_P
128 

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 128
100.0%

Length

2024-04-21T05:00:18.376786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:00:18.598338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_25_p 128
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450156.2
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T05:00:18.782269image/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 deviation22657.476
Coefficient of variation (CV)0.0065670869
Kurtosis-1.3551325
Mean3450156.2
Median Absolute Deviation (MAD)20000
Skewness-0.20532175
Sum4.4162 × 108
Variance5.1336122 × 108
MonotonicityIncreasing
2024-04-21T05:00:18.977937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 26
20.3%
3450000 24
18.8%
3420000 22
17.2%
3480000 21
16.4%
3430000 17
13.3%
3460000 10
 
7.8%
3410000 5
 
3.9%
3440000 3
 
2.3%
ValueCountFrequency (%)
3410000 5
 
3.9%
3420000 22
17.2%
3430000 17
13.3%
3440000 3
 
2.3%
3450000 24
18.8%
3460000 10
 
7.8%
3470000 26
20.3%
3480000 21
16.4%
ValueCountFrequency (%)
3480000 21
16.4%
3470000 26
20.3%
3460000 10
 
7.8%
3450000 24
18.8%
3440000 3
 
2.3%
3430000 17
13.3%
3420000 22
17.2%
3410000 5
 
3.9%

관리번호
Real number (ℝ)

UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4501563 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T05:00:19.220554image/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 deviation2.2657476 × 1015
Coefficient of variation (CV)0.0065670869
Kurtosis-1.3551325
Mean3.4501563 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.20532175
Sum7.268512 × 1018
Variance5.1336122 × 1030
MonotonicityNot monotonic
2024-04-21T05:00:19.479062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000000820020001 1
 
0.8%
345000000820160002 1
 
0.8%
347000000820060001 1
 
0.8%
347000000820050003 1
 
0.8%
347000000820050002 1
 
0.8%
347000000820050001 1
 
0.8%
347000000820220002 1
 
0.8%
347000000820210001 1
 
0.8%
347000000820180001 1
 
0.8%
347000000820150001 1
 
0.8%
Other values (118) 118
92.2%
ValueCountFrequency (%)
341000000820020001 1
0.8%
341000000820050001 1
0.8%
341000000820080001 1
0.8%
341000000820140001 1
0.8%
341000000820170001 1
0.8%
342000000820080001 1
0.8%
342000000820090001 1
0.8%
342000000820090002 1
0.8%
342000000820090003 1
0.8%
342000000820120001 1
0.8%
ValueCountFrequency (%)
348000000820220001 1
0.8%
348000000820210002 1
0.8%
348000000820210001 1
0.8%
348000000820200001 1
0.8%
348000000820180001 1
0.8%
348000000820160005 1
0.8%
348000000820160004 1
0.8%
348000000820160003 1
0.8%
348000000820160002 1
0.8%
348000000820160001 1
0.8%

인허가일자
Real number (ℝ)

Distinct115
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20130962
Minimum19980807
Maximum20220727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T05:00:19.745450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980807
5-th percentile20021010
Q120071026
median20155662
Q320190344
95-th percentile20217040
Maximum20220727
Range239920
Interquartile range (IQR)119317.75

Descriptive statistics

Standard deviation66965.656
Coefficient of variation (CV)0.0033265006
Kurtosis-0.98469523
Mean20130962
Median Absolute Deviation (MAD)54700
Skewness-0.45565942
Sum2.5767631 × 109
Variance4.4843991 × 109
MonotonicityNot monotonic
2024-04-21T05:00:20.194805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160704 7
 
5.5%
20211130 2
 
1.6%
20021010 2
 
1.6%
20160721 2
 
1.6%
20200407 2
 
1.6%
20191008 2
 
1.6%
20151030 2
 
1.6%
20210512 2
 
1.6%
20021012 1
 
0.8%
20150102 1
 
0.8%
Other values (105) 105
82.0%
ValueCountFrequency (%)
19980807 1
0.8%
19980827 1
0.8%
19981022 1
0.8%
19991022 1
0.8%
20010702 1
0.8%
20010803 1
0.8%
20021010 2
1.6%
20021012 1
0.8%
20030207 1
0.8%
20030616 1
0.8%
ValueCountFrequency (%)
20220727 1
0.8%
20220704 1
0.8%
20220629 1
0.8%
20220610 1
0.8%
20220608 1
0.8%
20220330 1
0.8%
20220222 1
0.8%
20211130 2
1.6%
20210810 1
0.8%
20210623 1
0.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.2 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
70 
3
49 
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 70
54.7%
3 49
38.3%
4 9
 
7.0%

Length

2024-04-21T05:00:20.411659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:00:20.584018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 70
54.7%
3 49
38.3%
4 9
 
7.0%

영업상태명
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
70 
폐업
49 
취소/말소/만료/정지/중지
9 

Length

Max length14
Median length5
Mean length4.484375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 70
54.7%
폐업 49
38.3%
취소/말소/만료/정지/중지 9
 
7.0%

Length

2024-04-21T05:00:20.778382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:00:20.958206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 70
54.7%
폐업 49
38.3%
취소/말소/만료/정지/중지 9
 
7.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
70 
2
49 
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 70
54.7%
2 49
38.3%
4 9
 
7.0%

Length

2024-04-21T05:00:21.144778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:00:21.316442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 70
54.7%
2 49
38.3%
4 9
 
7.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
정상
70 
폐업
49 
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 70
54.7%
폐업 49
38.3%
말소 9
 
7.0%

Length

2024-04-21T05:00:21.497907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:00:21.792872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 70
54.7%
폐업 49
38.3%
말소 9
 
7.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)84.2%
Missing71
Missing (%)55.5%
Infinite0
Infinite (%)0.0%
Mean20162652
Minimum20041120
Maximum20220112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T05:00:22.071290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041120
5-th percentile20060327
Q120120316
median20190227
Q320210226
95-th percentile20210435
Maximum20220112
Range178992
Interquartile range (IQR)89910

Descriptive statistics

Standard deviation55043.918
Coefficient of variation (CV)0.0027299939
Kurtosis-0.6663132
Mean20162652
Median Absolute Deviation (MAD)20097
Skewness-0.89988868
Sum1.1492712 × 109
Variance3.0298329 × 109
MonotonicityNot monotonic
2024-04-21T05:00:22.628166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
20210312 4
 
3.1%
20210409 2
 
1.6%
20080124 2
 
1.6%
20100709 2
 
1.6%
20210324 2
 
1.6%
20130730 2
 
1.6%
20201124 2
 
1.6%
20041120 1
 
0.8%
20081119 1
 
0.8%
20180803 1
 
0.8%
Other values (38) 38
29.7%
(Missing) 71
55.5%
ValueCountFrequency (%)
20041120 1
0.8%
20051014 1
0.8%
20060310 1
0.8%
20060331 1
0.8%
20060530 1
0.8%
20060612 1
0.8%
20080124 2
1.6%
20080219 1
0.8%
20081119 1
0.8%
20100709 2
1.6%
ValueCountFrequency (%)
20220112 1
 
0.8%
20211227 1
 
0.8%
20210525 1
 
0.8%
20210413 1
 
0.8%
20210409 2
1.6%
20210402 1
 
0.8%
20210324 2
1.6%
20210319 1
 
0.8%
20210312 4
3.1%
20210226 1
 
0.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.2 KiB

소재지전화
Text

MISSING 

Distinct68
Distinct (%)97.1%
Missing58
Missing (%)45.3%
Memory size1.1 KiB
2024-04-21T05:00:23.734658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.2714286
Min length7

Characters and Unicode

Total characters649
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

Unique66 ?
Unique (%)94.3%

Sample

1st row426-5525
2nd row5875605
3rd row245-2040
4th row2565017
5th row053-781-4444
ValueCountFrequency (%)
7680506 2
 
2.9%
5875605 2
 
2.9%
053-656-1042 1
 
1.4%
741-5997 1
 
1.4%
053-384-5100 1
 
1.4%
753-4312 1
 
1.4%
585-6264 1
 
1.4%
053-586-4747 1
 
1.4%
759-4828 1
 
1.4%
607-5038 1
 
1.4%
Other values (58) 58
82.9%
2024-04-21T05:00:25.021284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 112
17.3%
0 86
13.3%
- 72
11.1%
3 65
10.0%
1 60
9.2%
6 56
8.6%
2 49
7.6%
4 45
6.9%
8 39
 
6.0%
7 36
 
5.5%
Other values (2) 29
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 575
88.6%
Dash Punctuation 72
 
11.1%
Close Punctuation 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 112
19.5%
0 86
15.0%
3 65
11.3%
1 60
10.4%
6 56
9.7%
2 49
8.5%
4 45
7.8%
8 39
 
6.8%
7 36
 
6.3%
9 27
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 649
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 112
17.3%
0 86
13.3%
- 72
11.1%
3 65
10.0%
1 60
9.2%
6 56
8.6%
2 49
7.6%
4 45
6.9%
8 39
 
6.0%
7 36
 
5.5%
Other values (2) 29
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 649
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 112
17.3%
0 86
13.3%
- 72
11.1%
3 65
10.0%
1 60
9.2%
6 56
8.6%
2 49
7.6%
4 45
6.9%
8 39
 
6.0%
7 36
 
5.5%
Other values (2) 29
 
4.5%

소재지면적
Real number (ℝ)

ZEROS 

Distinct69
Distinct (%)53.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.191016
Minimum0
Maximum1682
Zeros52
Zeros (%)40.6%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T05:00:25.422786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median22.095
Q371.37
95-th percentile435.483
Maximum1682
Range1682
Interquartile range (IQR)71.37

Descriptive statistics

Standard deviation192.45884
Coefficient of variation (CV)2.370445
Kurtosis38.726741
Mean81.191016
Median Absolute Deviation (MAD)22.095
Skewness5.4258036
Sum10392.45
Variance37040.404
MonotonicityNot monotonic
2024-04-21T05:00:25.863173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 52
40.6%
45.1 5
 
3.9%
10.0 3
 
2.3%
21.0 2
 
1.6%
43.61 2
 
1.6%
41.06 1
 
0.8%
42.63 1
 
0.8%
20.0 1
 
0.8%
9.0 1
 
0.8%
680.0 1
 
0.8%
Other values (59) 59
46.1%
ValueCountFrequency (%)
0.0 52
40.6%
1.0 1
 
0.8%
9.0 1
 
0.8%
10.0 3
 
2.3%
12.0 1
 
0.8%
15.0 1
 
0.8%
16.77 1
 
0.8%
20.0 1
 
0.8%
21.0 2
 
1.6%
21.19 1
 
0.8%
ValueCountFrequency (%)
1682.0 1
0.8%
680.0 1
0.8%
617.0 1
0.8%
595.5 1
0.8%
504.0 1
0.8%
492.36 1
0.8%
449.0 1
0.8%
410.38 1
0.8%
303.72 1
0.8%
291.96 1
0.8%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.2 KiB

소재지전체주소
Text

Distinct111
Distinct (%)87.4%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2024-04-21T05:00:26.907124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length23.472441
Min length18

Characters and Unicode

Total characters2981
Distinct characters134
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

Unique102 ?
Unique (%)80.3%

Sample

1st row대구광역시 중구 봉산동 ***-**번지
2nd row대구광역시 중구 종로*가 **번지
3rd row대구광역시 중구 동인동*가 ***-**번지
4th row대구광역시 중구 계산동*가 현대백화점대구점 지하*층
5th row대구광역시 중구 남산동 ****-*번지
ValueCountFrequency (%)
대구광역시 127
21.7%
번지 69
 
11.8%
57
 
9.7%
달서구 26
 
4.4%
북구 23
 
3.9%
동구 22
 
3.8%
달성군 21
 
3.6%
호 21
 
3.6%
서구 17
 
2.9%
다사읍 10
 
1.7%
Other values (105) 193
32.9%
2024-04-21T05:00:28.339145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 624
20.9%
567
19.0%
구 237
 
8.0%
동 145
 
4.9%
대 134
 
4.5%
시 130
 
4.4%
광 127
 
4.3%
역 127
 
4.3%
- 94
 
3.2%
지 77
 
2.6%
Other values (124) 719
24.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1695
56.9%
Other Punctuation 624
 
20.9%
Space Separator 567
 
19.0%
Dash Punctuation 94
 
3.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 237
14.0%
동 145
 
8.6%
대 134
 
7.9%
시 130
 
7.7%
광 127
 
7.5%
역 127
 
7.5%
지 77
 
4.5%
번 69
 
4.1%
서 53
 
3.1%
달 48
 
2.8%
Other values (120) 548
32.3%
Other Punctuation
ValueCountFrequency (%)
* 624
100.0%
Space Separator
ValueCountFrequency (%)
567
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1695
56.9%
Common 1285
43.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 237
14.0%
동 145
 
8.6%
대 134
 
7.9%
시 130
 
7.7%
광 127
 
7.5%
역 127
 
7.5%
지 77
 
4.5%
번 69
 
4.1%
서 53
 
3.1%
달 48
 
2.8%
Other values (120) 548
32.3%
Common
ValueCountFrequency (%)
* 624
48.6%
567
44.1%
- 94
 
7.3%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1695
56.9%
ASCII 1286
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 624
48.5%
567
44.1%
- 94
 
7.3%
B 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 237
14.0%
동 145
 
8.6%
대 134
 
7.9%
시 130
 
7.7%
광 127
 
7.5%
역 127
 
7.5%
지 77
 
4.5%
번 69
 
4.1%
서 53
 
3.1%
달 48
 
2.8%
Other values (120) 548
32.3%

도로명전체주소
Text

MISSING 

Distinct108
Distinct (%)87.1%
Missing4
Missing (%)3.1%
Memory size1.1 KiB
2024-04-21T05:00:29.305357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43.5
Mean length29.701613
Min length19

Characters and Unicode

Total characters3683
Distinct characters181
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

Unique101 ?
Unique (%)81.5%

Sample

1st row대구광역시 중구 봉산문화*길 * (봉산동)
2nd row대구광역시 중구 중앙대로**길 ** (종로*가)
3rd row대구광역시 중구 동덕로**길 ** (동인동*가, 삼익아파트)
4th row대구광역시 중구 달구벌대로 ****, 지하*층 (계산동*가)
5th row대구광역시 중구 중앙대로 *** (남산동)
ValueCountFrequency (%)
대구광역시 124
17.0%
122
 
16.7%
호 41
 
5.6%
달서구 25
 
3.4%
북구 24
 
3.3%
동구 22
 
3.0%
달성군 19
 
2.6%
층 18
 
2.5%
서구 17
 
2.3%
동 12
 
1.6%
Other values (190) 307
42.0%
2024-04-21T05:00:30.721084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
607
16.5%
* 605
16.4%
구 254
 
6.9%
동 170
 
4.6%
대 159
 
4.3%
시 129
 
3.5%
역 125
 
3.4%
광 124
 
3.4%
로 123
 
3.3%
) 112
 
3.0%
Other values (171) 1275
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2151
58.4%
Other Punctuation 680
 
18.5%
Space Separator 607
 
16.5%
Close Punctuation 112
 
3.0%
Open Punctuation 112
 
3.0%
Dash Punctuation 17
 
0.5%
Uppercase Letter 3
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 254
 
11.8%
동 170
 
7.9%
대 159
 
7.4%
시 129
 
6.0%
역 125
 
5.8%
광 124
 
5.8%
로 123
 
5.7%
서 70
 
3.3%
성 62
 
2.9%
호 60
 
2.8%
Other values (162) 875
40.7%
Other Punctuation
ValueCountFrequency (%)
* 605
89.0%
, 75
 
11.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
607
100.0%
Close Punctuation
ValueCountFrequency (%)
) 112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2151
58.4%
Common 1528
41.5%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 254
 
11.8%
동 170
 
7.9%
대 159
 
7.4%
시 129
 
6.0%
역 125
 
5.8%
광 124
 
5.8%
로 123
 
5.7%
서 70
 
3.3%
성 62
 
2.9%
호 60
 
2.8%
Other values (162) 875
40.7%
Common
ValueCountFrequency (%)
607
39.7%
* 605
39.6%
) 112
 
7.3%
( 112
 
7.3%
, 75
 
4.9%
- 17
 
1.1%
Latin
ValueCountFrequency (%)
A 2
50.0%
B 1
25.0%
a 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2151
58.4%
ASCII 1532
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
607
39.6%
* 605
39.5%
) 112
 
7.3%
( 112
 
7.3%
, 75
 
4.9%
- 17
 
1.1%
A 2
 
0.1%
B 1
 
0.1%
a 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 254
 
11.8%
동 170
 
7.9%
대 159
 
7.4%
시 129
 
6.0%
역 125
 
5.8%
광 124
 
5.8%
로 123
 
5.7%
서 70
 
3.3%
성 62
 
2.9%
호 60
 
2.8%
Other values (162) 875
40.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct70
Distinct (%)76.1%
Missing36
Missing (%)28.1%
Infinite0
Infinite (%)0.0%
Mean41965.924
Minimum41035
Maximum42971
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T05:00:31.132884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41035
5-th percentile41083.65
Q141455.25
median41761
Q342686.5
95-th percentile42927
Maximum42971
Range1936
Interquartile range (IQR)1231.25

Descriptive statistics

Standard deviation642.08882
Coefficient of variation (CV)0.015300243
Kurtosis-1.3701005
Mean41965.924
Median Absolute Deviation (MAD)513
Skewness0.22489793
Sum3860865
Variance412278.05
MonotonicityNot monotonic
2024-04-21T05:00:31.595334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41754 7
 
5.5%
42722 5
 
3.9%
42927 5
 
3.9%
42914 2
 
1.6%
41422 2
 
1.6%
41755 2
 
1.6%
41765 2
 
1.6%
41502 2
 
1.6%
42712 2
 
1.6%
41256 2
 
1.6%
Other values (60) 61
47.7%
(Missing) 36
28.1%
ValueCountFrequency (%)
41035 1
0.8%
41065 1
0.8%
41073 1
0.8%
41078 1
0.8%
41082 1
0.8%
41085 1
0.8%
41099 1
0.8%
41123 2
1.6%
41125 1
0.8%
41150 1
0.8%
ValueCountFrequency (%)
42971 1
 
0.8%
42946 1
 
0.8%
42943 1
 
0.8%
42928 1
 
0.8%
42927 5
3.9%
42914 2
 
1.6%
42905 1
 
0.8%
42820 1
 
0.8%
42744 1
 
0.8%
42740 1
 
0.8%

사업장명
Text

Distinct109
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-21T05:00:32.554816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.203125
Min length2

Characters and Unicode

Total characters794
Distinct characters157
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

Unique98 ?
Unique (%)76.6%

Sample

1st row개별화물
2nd row(주)일성화물
3rd rowMJ물류
4th row(주)코리아택배물류
5th row대구우체국
ValueCountFrequency (%)
개별화물 9
 
6.6%
주식회사 7
 
5.1%
개인용달 3
 
2.2%
동원물산 2
 
1.5%
주)일성화물 2
 
1.5%
그린로직스 2
 
1.5%
mj물류 2
 
1.5%
미소물류 2
 
1.5%
주)능원통운 2
 
1.5%
주)성진냉동 2
 
1.5%
Other values (102) 104
75.9%
2024-04-21T05:00:33.882524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 60
 
7.6%
) 57
 
7.2%
( 56
 
7.1%
물 46
 
5.8%
류 27
 
3.4%
화 19
 
2.4%
운 19
 
2.4%
스 17
 
2.1%
성 16
 
2.0%
수 16
 
2.0%
Other values (147) 461
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 656
82.6%
Close Punctuation 57
 
7.2%
Open Punctuation 56
 
7.1%
Decimal Number 10
 
1.3%
Space Separator 9
 
1.1%
Uppercase Letter 4
 
0.5%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 60
 
9.1%
물 46
 
7.0%
류 27
 
4.1%
화 19
 
2.9%
운 19
 
2.9%
스 17
 
2.6%
성 16
 
2.4%
수 16
 
2.4%
개 15
 
2.3%
이 15
 
2.3%
Other values (135) 406
61.9%
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 (%)
J 2
50.0%
M 2
50.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 656
82.6%
Common 134
 
16.9%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 60
 
9.1%
물 46
 
7.0%
류 27
 
4.1%
화 19
 
2.9%
운 19
 
2.9%
스 17
 
2.6%
성 16
 
2.4%
수 16
 
2.4%
개 15
 
2.3%
이 15
 
2.3%
Other values (135) 406
61.9%
Common
ValueCountFrequency (%)
) 57
42.5%
( 56
41.8%
9
 
6.7%
5 3
 
2.2%
1 2
 
1.5%
. 2
 
1.5%
8 2
 
1.5%
9 1
 
0.7%
2 1
 
0.7%
6 1
 
0.7%
Latin
ValueCountFrequency (%)
J 2
50.0%
M 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 656
82.6%
ASCII 138
 
17.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 60
 
9.1%
물 46
 
7.0%
류 27
 
4.1%
화 19
 
2.9%
운 19
 
2.9%
스 17
 
2.6%
성 16
 
2.4%
수 16
 
2.4%
개 15
 
2.3%
이 15
 
2.3%
Other values (135) 406
61.9%
ASCII
ValueCountFrequency (%)
) 57
41.3%
( 56
40.6%
9
 
6.5%
5 3
 
2.2%
1 2
 
1.4%
. 2
 
1.4%
8 2
 
1.4%
J 2
 
1.4%
M 2
 
1.4%
9 1
 
0.7%
Other values (2) 2
 
1.4%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0176633 × 1013
Minimum2.0030616 × 1013
Maximum2.0220729 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T05:00:34.291107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030616 × 1013
5-th percentile2.0080124 × 1013
Q12.0160678 × 1013
median2.0191015 × 1013
Q32.0210344 × 1013
95-th percentile2.0220678 × 1013
Maximum2.0220729 × 1013
Range1.9011307 × 1011
Interquartile range (IQR)4.9665985 × 1010

Descriptive statistics

Standard deviation4.5912592 × 1010
Coefficient of variation (CV)0.0022755328
Kurtosis0.88780417
Mean2.0176633 × 1013
Median Absolute Deviation (MAD)2.0115024 × 1010
Skewness-1.3137964
Sum2.5826091 × 1015
Variance2.1079661 × 1021
MonotonicityNot monotonic
2024-04-21T05:00:34.754263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190117181754 1
 
0.8%
20201130165624 1
 
0.8%
20120316151605 1
 
0.8%
20051014173920 1
 
0.8%
20080124163606 1
 
0.8%
20111208170449 1
 
0.8%
20220704134439 1
 
0.8%
20210318154147 1
 
0.8%
20190322160521 1
 
0.8%
20210814095700 1
 
0.8%
Other values (118) 118
92.2%
ValueCountFrequency (%)
20030616095721 1
0.8%
20051014173920 1
0.8%
20060314101204 1
0.8%
20060331110958 1
0.8%
20060519112212 1
0.8%
20060530144613 1
0.8%
20080124163606 1
0.8%
20080125102350 1
0.8%
20080219120214 1
0.8%
20081119085911 1
0.8%
ValueCountFrequency (%)
20220729162634 1
0.8%
20220727092302 1
0.8%
20220722101424 1
0.8%
20220720131654 1
0.8%
20220707153140 1
0.8%
20220704160815 1
0.8%
20220704134439 1
0.8%
20220629153346 1
0.8%
20220621170710 1
0.8%
20220620180219 1
0.8%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
73 
U
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 73
57.0%
U 55
43.0%

Length

2024-04-21T05:00:35.184838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:00:35.492528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 73
57.0%
u 55
43.0%

데이터갱신일자
Date

Distinct71
Distinct (%)55.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-31 02:40:00
2024-04-21T05:00:35.820473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:00:36.255342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)83.3%
Missing2
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean341630.12
Minimum325882.67
Maximum355567.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T05:00:36.879235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325882.67
5-th percentile332434.29
Q1337329.21
median340107.04
Q3345674.56
95-th percentile354712.18
Maximum355567.69
Range29685.027
Interquartile range (IQR)8345.3438

Descriptive statistics

Standard deviation6570.3014
Coefficient of variation (CV)0.019232207
Kurtosis-0.32093561
Mean341630.12
Median Absolute Deviation (MAD)4019.6729
Skewness0.46826858
Sum43045396
Variance43168860
MonotonicityNot monotonic
2024-04-21T05:00:37.233919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
338412.28097 7
 
5.5%
337329.213273 5
 
3.9%
335153.914139 5
 
3.9%
354807.053275 3
 
2.3%
340411.771764 2
 
1.6%
346671.304307 2
 
1.6%
333920.60853 2
 
1.6%
352275.472365 2
 
1.6%
337384.429845 2
 
1.6%
339858.586528 1
 
0.8%
Other values (95) 95
74.2%
(Missing) 2
 
1.6%
ValueCountFrequency (%)
325882.665956 1
0.8%
329289.647519 1
0.8%
330128.30921 1
0.8%
331202.514652 1
0.8%
332084.144439 1
0.8%
332298.355065 1
0.8%
332426.0567 1
0.8%
332459.0 1
0.8%
333486.297605 1
0.8%
333920.60853 2
1.6%
ValueCountFrequency (%)
355567.693374 1
 
0.8%
355444.760056 1
 
0.8%
354981.40395 1
 
0.8%
354976.751149 1
 
0.8%
354807.053275 3
2.3%
354427.57914 1
 
0.8%
353980.730932 1
 
0.8%
353971.781376 1
 
0.8%
353441.768426 1
 
0.8%
352818.049858 1
 
0.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)83.3%
Missing2
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean263668.15
Minimum244838.38
Maximum274508.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T05:00:37.481942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244838.38
5-th percentile256808.02
Q1261315.68
median264257.42
Q3265455.27
95-th percentile269683.07
Maximum274508.22
Range29669.836
Interquartile range (IQR)4139.5862

Descriptive statistics

Standard deviation4197.1448
Coefficient of variation (CV)0.015918285
Kurtosis3.7780253
Mean263668.15
Median Absolute Deviation (MAD)1814.5323
Skewness-0.82954554
Sum33222187
Variance17616025
MonotonicityNot monotonic
2024-04-21T05:00:37.845358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264257.421959 7
 
5.5%
260416.780233 5
 
3.9%
264331.984615 5
 
3.9%
264751.958417 3
 
2.3%
272600.063881 2
 
1.6%
264957.682619 2
 
1.6%
261405.687893 2
 
1.6%
264925.058164 2
 
1.6%
260371.115494 2
 
1.6%
257732.545487 1
 
0.8%
Other values (95) 95
74.2%
(Missing) 2
 
1.6%
ValueCountFrequency (%)
244838.382091 1
0.8%
248845.861218 1
0.8%
254318.70007 1
0.8%
255934.0 1
0.8%
256442.855337 1
0.8%
256643.317146 1
0.8%
256648.067692 1
0.8%
257287.881227 1
0.8%
257516.968663 1
0.8%
257732.545487 1
0.8%
ValueCountFrequency (%)
274508.218106 1
0.8%
272723.483446 1
0.8%
272600.063881 2
1.6%
272219.113572 1
0.8%
272092.19703 1
0.8%
269777.145939 1
0.8%
269400.831441 1
0.8%
269397.824527 1
0.8%
269374.299284 1
0.8%
269200.416749 1
0.8%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
축산물운반업
128 

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 128
100.0%

Length

2024-04-21T05:00:38.077326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:00:38.238810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 128
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.2 KiB

축산일련번호
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
105 
0
23 

Length

Max length4
Median length4
Mean length3.4609375
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> 105
82.0%
0 23
 
18.0%

Length

2024-04-21T05:00:38.415615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:00:38.591094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 105
82.0%
0 23
 
18.0%

권리주체일련번호
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
000
69 
L00
59 

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 69
53.9%
L00 59
46.1%

Length

2024-04-21T05:00:38.767576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:00:38.934964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 69
53.9%
l00 59
46.1%

총직원수
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
105 
0
23 

Length

Max length4
Median length4
Mean length3.4609375
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> 105
82.0%
0 23
 
18.0%

Length

2024-04-21T05:00:39.121035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:00:39.296956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 105
82.0%
0 23
 
18.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
01축산물운반업07_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>
12축산물운반업07_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>
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>343570.613158263072.964308축산물운반업<NA><NA>000<NA>
56축산물운반업07_22_25_P342000034200000082019000220190319<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 동구 율하동 ****번지 율하휴먼시아**단지 ****동 ***호대구광역시 동구 금호강변로*길 *, ****동 *층 ***호 (율하동, 율하휴먼시아**단지)41151삼성물류20190319165505I2019-03-21 02:21:57.0<NA>352609.377005264632.557673축산물운반업<NA><NA>000<NA>
67축산물운반업07_22_25_P342000034200000082019000120190116<NA>1영업/정상0정상<NA><NA><NA><NA>053-781-444425.0<NA>대구광역시 동구 불로동 ***-**번지대구광역시 동구 팔공로**길 ** (불로동)41035로얄585920190116182624I2019-01-18 02:20:52.0<NA>347749.196937269200.416749축산물운반업<NA><NA>000<NA>
78축산물운반업07_22_25_P342000034200000082019000320190417<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 동구 신평동 **-*번지 신평동우경빌라대구광역시 동구 신덕로*길 *, A동 *층 ***호 (신평동, 신평동우경빌라)41123우경(퀵)20190417180510I2019-04-19 02:20:25.0<NA>352818.049858266060.998489축산물운반업<NA><NA>000<NA>
89축산물운반업07_22_25_P342000034200000082019000420191008<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 동구 방촌동 ****-**번지 방촌청구타운 ***동 ***호대구광역시 동구 화랑로**길 **, ***동 ***층 (방촌동, 방촌청구타운)41160김태복(개인용달)20191008092938I2019-10-10 00:22:46.0<NA>350130.296336265664.051744축산물운반업<NA><NA>000<NA>
910축산물운반업07_22_25_P342000034200000082022000120220222<NA>1영업/정상0정상<NA><NA><NA><NA>031-404-79550.0<NA>대구광역시 동구 신천동 **-* 대구빌딩 ***-*호대구광역시 동구 동대구로 ***, 대구빌딩 ***-*호 (신천동)41256(주)동신특수20220222165557I2022-02-24 00:22:37.0<NA>346671.304307264957.682619축산물운반업<NA>0L000
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
118119축산물운반업07_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>
119120축산물운반업07_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>
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