Overview

Dataset statistics

Number of variables33
Number of observations123
Missing cells1025
Missing cells (%)25.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.4 KiB
Average record size in memory286.0 B

Variable types

Numeric10
Categorical11
Unsupported7
Text4
DateTime1

Dataset

Description22년05월_6270000_대구광역시_07_22_25_P_축산물운반업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093418&dataSetDetailId=DDI_0000093461&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
축산업무구분명 has constant value ""Constant
인허가취소일자 has 123 (100.0%) missing valuesMissing
폐업일자 has 66 (53.7%) missing valuesMissing
휴업시작일자 has 123 (100.0%) missing valuesMissing
휴업종료일자 has 123 (100.0%) missing valuesMissing
재개업일자 has 123 (100.0%) missing valuesMissing
소재지전화 has 53 (43.1%) missing valuesMissing
소재지우편번호 has 123 (100.0%) missing valuesMissing
도로명전체주소 has 4 (3.3%) missing valuesMissing
도로명우편번호 has 36 (29.3%) missing valuesMissing
업태구분명 has 123 (100.0%) missing valuesMissing
좌표정보(X) has 2 (1.6%) missing valuesMissing
좌표정보(Y) has 2 (1.6%) missing valuesMissing
축산물가공업구분명 has 123 (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 48 (39.0%) zerosZeros

Reproduction

Analysis started2024-04-20 17:50:29.110694
Analysis finished2024-04-20 17:50:29.906858
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62
Minimum1
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T02:50:30.099887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.1
Q131.5
median62
Q392.5
95-th percentile116.9
Maximum123
Range122
Interquartile range (IQR)61

Descriptive statistics

Standard deviation35.651087
Coefficient of variation (CV)0.57501753
Kurtosis-1.2
Mean62
Median Absolute Deviation (MAD)31
Skewness0
Sum7626
Variance1271
MonotonicityStrictly increasing
2024-04-21T02:50:30.553075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
79 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
Other values (113) 113
91.9%
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 (%)
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
축산물운반업
123 

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 123
100.0%

Length

2024-04-21T02:50:30.969918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:50:31.267597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 123
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
07_22_25_P
123 

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 123
100.0%

Length

2024-04-21T02:50:31.584479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:50:31.883256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_25_p 123
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450162.6
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T02:50:32.157511image/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 deviation22651.448
Coefficient of variation (CV)0.0065653277
Kurtosis-1.3456183
Mean3450162.6
Median Absolute Deviation (MAD)20000
Skewness-0.21402673
Sum4.2437 × 108
Variance5.130881 × 108
MonotonicityIncreasing
2024-04-21T02:50:32.532134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 25
20.3%
3450000 23
18.7%
3420000 21
17.1%
3480000 20
16.3%
3430000 16
13.0%
3460000 10
 
8.1%
3410000 5
 
4.1%
3440000 3
 
2.4%
ValueCountFrequency (%)
3410000 5
 
4.1%
3420000 21
17.1%
3430000 16
13.0%
3440000 3
 
2.4%
3450000 23
18.7%
3460000 10
 
8.1%
3470000 25
20.3%
3480000 20
16.3%
ValueCountFrequency (%)
3480000 20
16.3%
3470000 25
20.3%
3460000 10
 
8.1%
3450000 23
18.7%
3440000 3
 
2.4%
3430000 16
13.0%
3420000 21
17.1%
3410000 5
 
4.1%

관리번호
Real number (ℝ)

UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4501626 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T02:50:32.935771image/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 deviation2.2651448 × 1015
Coefficient of variation (CV)0.0065653277
Kurtosis-1.3456183
Mean3.4501626 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.21402673
Sum5.543512 × 1018
Variance5.130881 × 1030
MonotonicityNot monotonic
2024-04-21T02:50:33.387858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341000000820020001 1
 
0.8%
347000000819980001 1
 
0.8%
347000000820100001 1
 
0.8%
347000000820080001 1
 
0.8%
347000000820070002 1
 
0.8%
347000000820070001 1
 
0.8%
347000000820060001 1
 
0.8%
347000000820050004 1
 
0.8%
347000000820050003 1
 
0.8%
347000000820050002 1
 
0.8%
Other values (113) 113
91.9%
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 (%)
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%
348000000820090001 1
0.8%

인허가일자
Real number (ℝ)

Distinct110
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20127316
Minimum19980807
Maximum20220330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T02:50:33.815093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980807
5-th percentile20021010
Q120070810
median20151030
Q320185667
95-th percentile20210526
Maximum20220330
Range239523
Interquartile range (IQR)114856.5

Descriptive statistics

Standard deviation65765.281
Coefficient of variation (CV)0.0032674641
Kurtosis-1.0031746
Mean20127316
Median Absolute Deviation (MAD)50009
Skewness-0.43754902
Sum2.4756599 × 109
Variance4.3250722 × 109
MonotonicityNot monotonic
2024-04-21T02:50:34.252473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160704 7
 
5.7%
20211130 2
 
1.6%
20191008 2
 
1.6%
20021010 2
 
1.6%
20200407 2
 
1.6%
20160721 2
 
1.6%
20151030 2
 
1.6%
20210512 2
 
1.6%
20060321 1
 
0.8%
20070307 1
 
0.8%
Other values (100) 100
81.3%
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 (%)
20220330 1
0.8%
20220222 1
0.8%
20211130 2
1.6%
20210810 1
0.8%
20210623 1
0.8%
20210527 1
0.8%
20210512 2
1.6%
20210317 1
0.8%
20210127 1
0.8%
20201022 1
0.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing123
Missing (%)100.0%
Memory size1.2 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
65 
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 65
52.8%
3 49
39.8%
4 9
 
7.3%

Length

2024-04-21T02:50:34.849865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:50:35.169630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 65
52.8%
3 49
39.8%
4 9
 
7.3%

영업상태명
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
65 
폐업
49 
취소/말소/만료/정지/중지
9 

Length

Max length14
Median length5
Mean length4.4634146
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 65
52.8%
폐업 49
39.8%
취소/말소/만료/정지/중지 9
 
7.3%

Length

2024-04-21T02:50:35.532260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:50:35.857550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 65
52.8%
폐업 49
39.8%
취소/말소/만료/정지/중지 9
 
7.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
65 
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 65
52.8%
2 49
39.8%
4 9
 
7.3%

Length

2024-04-21T02:50:36.206911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:50:36.527084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 65
52.8%
2 49
39.8%
4 9
 
7.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
정상
65 
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 65
52.8%
폐업 49
39.8%
말소 9
 
7.3%

Length

2024-04-21T02:50:36.875290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:50:37.188924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 65
52.8%
폐업 49
39.8%
말소 9
 
7.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)84.2%
Missing66
Missing (%)53.7%
Infinite0
Infinite (%)0.0%
Mean20162652
Minimum20041120
Maximum20220112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T02:50:37.539951image/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
2024-04-21T02:50:37.996425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
20210312 4
 
3.3%
20080124 2
 
1.6%
20130730 2
 
1.6%
20201124 2
 
1.6%
20210409 2
 
1.6%
20100709 2
 
1.6%
20210324 2
 
1.6%
20140116 1
 
0.8%
20060310 1
 
0.8%
20081119 1
 
0.8%
Other values (38) 38
30.9%
(Missing) 66
53.7%
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
3.3%
20210226 1
 
0.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing123
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing123
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing123
Missing (%)100.0%
Memory size1.2 KiB

소재지전화
Text

MISSING 

Distinct68
Distinct (%)97.1%
Missing53
Missing (%)43.1%
Memory size1.1 KiB
2024-04-21T02:50:38.942488image/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 row7594828
ValueCountFrequency (%)
5875605 2
 
2.9%
7680506 2
 
2.9%
053-423-9929 1
 
1.4%
753-4312 1
 
1.4%
759-4828 1
 
1.4%
741-5997 1
 
1.4%
053-384-5100 1
 
1.4%
607-5038 1
 
1.4%
426-5525 1
 
1.4%
053-656-1042 1
 
1.4%
Other values (58) 58
82.9%
2024-04-21T02:50:40.059516image/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 

Distinct68
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.849187
Minimum0
Maximum1682
Zeros48
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T02:50:40.461310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median23.1
Q372.54
95-th percentile445.138
Maximum1682
Range1682
Interquartile range (IQR)72.54

Descriptive statistics

Standard deviation195.79367
Coefficient of variation (CV)2.3350694
Kurtosis37.324759
Mean83.849187
Median Absolute Deviation (MAD)23.1
Skewness5.3288904
Sum10313.45
Variance38335.16
MonotonicityNot monotonic
2024-04-21T02:50:40.896656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 48
39.0%
45.1 5
 
4.1%
10.0 3
 
2.4%
21.0 2
 
1.6%
43.61 2
 
1.6%
27.0 1
 
0.8%
48.9 1
 
0.8%
9.0 1
 
0.8%
23.1 1
 
0.8%
40.0 1
 
0.8%
Other values (58) 58
47.2%
ValueCountFrequency (%)
0.0 48
39.0%
1.0 1
 
0.8%
9.0 1
 
0.8%
10.0 3
 
2.4%
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 

Missing123
Missing (%)100.0%
Memory size1.2 KiB

소재지전체주소
Text

Distinct106
Distinct (%)86.9%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2024-04-21T02:50:41.907629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length23.295082
Min length18

Characters and Unicode

Total characters2842
Distinct characters128
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

Unique97 ?
Unique (%)79.5%

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 122
21.9%
번지 70
 
12.6%
51
 
9.2%
달서구 25
 
4.5%
북구 22
 
3.9%
동구 21
 
3.8%
달성군 20
 
3.6%
호 19
 
3.4%
서구 16
 
2.9%
다사읍 10
 
1.8%
Other values (99) 181
32.5%
2024-04-21T02:50:43.298842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 590
20.8%
540
19.0%
구 228
 
8.0%
동 138
 
4.9%
대 129
 
4.5%
시 125
 
4.4%
광 122
 
4.3%
역 122
 
4.3%
- 93
 
3.3%
지 76
 
2.7%
Other values (118) 679
23.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1618
56.9%
Other Punctuation 590
 
20.8%
Space Separator 540
 
19.0%
Dash Punctuation 93
 
3.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 228
14.1%
동 138
 
8.5%
대 129
 
8.0%
시 125
 
7.7%
광 122
 
7.5%
역 122
 
7.5%
지 76
 
4.7%
번 70
 
4.3%
서 51
 
3.2%
달 46
 
2.8%
Other values (114) 511
31.6%
Other Punctuation
ValueCountFrequency (%)
* 590
100.0%
Space Separator
ValueCountFrequency (%)
540
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1618
56.9%
Common 1223
43.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 228
14.1%
동 138
 
8.5%
대 129
 
8.0%
시 125
 
7.7%
광 122
 
7.5%
역 122
 
7.5%
지 76
 
4.7%
번 70
 
4.3%
서 51
 
3.2%
달 46
 
2.8%
Other values (114) 511
31.6%
Common
ValueCountFrequency (%)
* 590
48.2%
540
44.2%
- 93
 
7.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1618
56.9%
ASCII 1224
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 590
48.2%
540
44.1%
- 93
 
7.6%
B 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 228
14.1%
동 138
 
8.5%
대 129
 
8.0%
시 125
 
7.7%
광 122
 
7.5%
역 122
 
7.5%
지 76
 
4.7%
번 70
 
4.3%
서 51
 
3.2%
달 46
 
2.8%
Other values (114) 511
31.6%

도로명전체주소
Text

MISSING 

Distinct103
Distinct (%)86.6%
Missing4
Missing (%)3.3%
Memory size1.1 KiB
2024-04-21T02:50:44.293517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length29.394958
Min length19

Characters and Unicode

Total characters3498
Distinct characters179
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

Unique96 ?
Unique (%)80.7%

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 119
17.1%
118
17.0%
호 37
 
5.3%
달서구 24
 
3.4%
북구 23
 
3.3%
동구 21
 
3.0%
달성군 18
 
2.6%
층 18
 
2.6%
서구 16
 
2.3%
다사읍 10
 
1.4%
Other values (181) 292
42.0%
2024-04-21T02:50:45.742529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
577
16.5%
* 564
16.1%
구 245
 
7.0%
동 161
 
4.6%
대 154
 
4.4%
시 124
 
3.5%
역 120
 
3.4%
광 119
 
3.4%
로 118
 
3.4%
( 107
 
3.1%
Other values (169) 1209
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2053
58.7%
Other Punctuation 633
 
18.1%
Space Separator 577
 
16.5%
Open Punctuation 107
 
3.1%
Close Punctuation 107
 
3.1%
Dash Punctuation 17
 
0.5%
Uppercase Letter 3
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 245
 
11.9%
동 161
 
7.8%
대 154
 
7.5%
시 124
 
6.0%
역 120
 
5.8%
광 119
 
5.8%
로 118
 
5.7%
서 68
 
3.3%
성 58
 
2.8%
호 56
 
2.7%
Other values (160) 830
40.4%
Other Punctuation
ValueCountFrequency (%)
* 564
89.1%
, 69
 
10.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
577
100.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2053
58.7%
Common 1441
41.2%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 245
 
11.9%
동 161
 
7.8%
대 154
 
7.5%
시 124
 
6.0%
역 120
 
5.8%
광 119
 
5.8%
로 118
 
5.7%
서 68
 
3.3%
성 58
 
2.8%
호 56
 
2.7%
Other values (160) 830
40.4%
Common
ValueCountFrequency (%)
577
40.0%
* 564
39.1%
( 107
 
7.4%
) 107
 
7.4%
, 69
 
4.8%
- 17
 
1.2%
Latin
ValueCountFrequency (%)
A 2
50.0%
B 1
25.0%
a 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2053
58.7%
ASCII 1445
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
577
39.9%
* 564
39.0%
( 107
 
7.4%
) 107
 
7.4%
, 69
 
4.8%
- 17
 
1.2%
A 2
 
0.1%
B 1
 
0.1%
a 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 245
 
11.9%
동 161
 
7.8%
대 154
 
7.5%
시 124
 
6.0%
역 120
 
5.8%
광 119
 
5.8%
로 118
 
5.7%
서 68
 
3.3%
성 58
 
2.8%
호 56
 
2.7%
Other values (160) 830
40.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)75.9%
Missing36
Missing (%)29.3%
Infinite0
Infinite (%)0.0%
Mean41964.103
Minimum41035
Maximum42946
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T02:50:46.157159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41035
5-th percentile41082.9
Q141463.5
median41765
Q342669.5
95-th percentile42927
Maximum42946
Range1911
Interquartile range (IQR)1206

Descriptive statistics

Standard deviation636.1792
Coefficient of variation (CV)0.015160081
Kurtosis-1.352076
Mean41964.103
Median Absolute Deviation (MAD)509
Skewness0.22317442
Sum3650877
Variance404723.98
MonotonicityNot monotonic
2024-04-21T02:50:46.614372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41754 7
 
5.7%
42722 5
 
4.1%
42927 5
 
4.1%
42914 2
 
1.6%
41765 2
 
1.6%
41256 2
 
1.6%
41502 2
 
1.6%
41422 2
 
1.6%
42712 2
 
1.6%
41123 2
 
1.6%
Other values (56) 56
45.5%
(Missing) 36
29.3%
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%
41123 2
1.6%
41125 1
0.8%
41150 1
0.8%
41151 1
0.8%
ValueCountFrequency (%)
42946 1
 
0.8%
42943 1
 
0.8%
42928 1
 
0.8%
42927 5
4.1%
42914 2
 
1.6%
42905 1
 
0.8%
42820 1
 
0.8%
42740 1
 
0.8%
42729 1
 
0.8%
42722 5
4.1%

사업장명
Text

Distinct105
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-21T02:50:47.608274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.2520325
Min length2

Characters and Unicode

Total characters769
Distinct characters148
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

Unique94 ?
Unique (%)76.4%

Sample

1st row개별화물
2nd row(주)일성화물
3rd rowMJ물류
4th row(주)코리아택배물류
5th row대구우체국
ValueCountFrequency (%)
개별화물 8
 
6.1%
주식회사 7
 
5.3%
개인용달 3
 
2.3%
김태복(개인용달 2
 
1.5%
미소물류 2
 
1.5%
그린로직스 2
 
1.5%
주)일성화물 2
 
1.5%
주)성진냉동 2
 
1.5%
주)일성로지스 2
 
1.5%
mj물류 2
 
1.5%
Other values (98) 100
75.8%
2024-04-21T02:50:48.849186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 60
 
7.8%
) 57
 
7.4%
( 56
 
7.3%
물 44
 
5.7%
류 27
 
3.5%
운 18
 
2.3%
화 17
 
2.2%
스 17
 
2.2%
성 16
 
2.1%
수 15
 
2.0%
Other values (138) 442
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 637
82.8%
Close Punctuation 57
 
7.4%
Open Punctuation 56
 
7.3%
Space Separator 9
 
1.2%
Decimal Number 4
 
0.5%
Uppercase Letter 4
 
0.5%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 60
 
9.4%
물 44
 
6.9%
류 27
 
4.2%
운 18
 
2.8%
화 17
 
2.7%
스 17
 
2.7%
성 16
 
2.5%
수 15
 
2.4%
이 14
 
2.2%
개 14
 
2.2%
Other values (129) 395
62.0%
Decimal Number
ValueCountFrequency (%)
5 2
50.0%
8 1
25.0%
9 1
25.0%
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 637
82.8%
Common 128
 
16.6%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 60
 
9.4%
물 44
 
6.9%
류 27
 
4.2%
운 18
 
2.8%
화 17
 
2.7%
스 17
 
2.7%
성 16
 
2.5%
수 15
 
2.4%
이 14
 
2.2%
개 14
 
2.2%
Other values (129) 395
62.0%
Common
ValueCountFrequency (%)
) 57
44.5%
( 56
43.8%
9
 
7.0%
. 2
 
1.6%
5 2
 
1.6%
8 1
 
0.8%
9 1
 
0.8%
Latin
ValueCountFrequency (%)
J 2
50.0%
M 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 637
82.8%
ASCII 132
 
17.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 60
 
9.4%
물 44
 
6.9%
류 27
 
4.2%
운 18
 
2.8%
화 17
 
2.7%
스 17
 
2.7%
성 16
 
2.5%
수 15
 
2.4%
이 14
 
2.2%
개 14
 
2.2%
Other values (129) 395
62.0%
ASCII
ValueCountFrequency (%)
) 57
43.2%
( 56
42.4%
9
 
6.8%
. 2
 
1.5%
5 2
 
1.5%
J 2
 
1.5%
M 2
 
1.5%
8 1
 
0.8%
9 1
 
0.8%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.017394 × 1013
Minimum2.0030616 × 1013
Maximum2.0220526 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T02:50:49.258178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030616 × 1013
5-th percentile2.0080124 × 1013
Q12.0160513 × 1013
median2.0190419 × 1013
Q32.0210312 × 1013
95-th percentile2.0220111 × 1013
Maximum2.0220526 × 1013
Range1.8991005 × 1011
Interquartile range (IQR)4.9799472 × 1010

Descriptive statistics

Standard deviation4.5635709 × 1010
Coefficient of variation (CV)0.0022621119
Kurtosis0.76668687
Mean2.017394 × 1013
Median Absolute Deviation (MAD)2.0195948 × 1010
Skewness-1.2750797
Sum2.4813946 × 1015
Variance2.082618 × 1021
MonotonicityNot monotonic
2024-04-21T02:50:49.724172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190117181754 1
 
0.8%
20111030152250 1
 
0.8%
20140116112620 1
 
0.8%
20210324130148 1
 
0.8%
20220224091042 1
 
0.8%
20200612174128 1
 
0.8%
20120316151605 1
 
0.8%
20210226105003 1
 
0.8%
20051014173920 1
 
0.8%
20080124163606 1
 
0.8%
Other values (113) 113
91.9%
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 (%)
20220526141744 1
0.8%
20220420102532 1
0.8%
20220322135454 1
0.8%
20220303154758 1
0.8%
20220224091042 1
0.8%
20220222165557 1
0.8%
20220112094344 1
0.8%
20220105172009 1
0.8%
20211227104626 1
0.8%
20211221165627 1
0.8%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
70 
U
53 

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 70
56.9%
U 53
43.1%

Length

2024-04-21T02:50:50.162368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:50:50.481810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 70
56.9%
u 53
43.1%

데이터갱신일자
Date

Distinct65
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2022-05-28 02:40:00
2024-04-21T02:50:50.808877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:50:51.235887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing123
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)82.6%
Missing2
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean341659.36
Minimum325882.67
Maximum355567.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T02:50:51.625872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325882.67
5-th percentile332426.06
Q1337329.21
median340129.35
Q3345793.31
95-th percentile354807.05
Maximum355567.69
Range29685.027
Interquartile range (IQR)8464.0987

Descriptive statistics

Standard deviation6552.4458
Coefficient of variation (CV)0.0191783
Kurtosis-0.3077843
Mean341659.36
Median Absolute Deviation (MAD)4101.2625
Skewness0.45403023
Sum41340783
Variance42934545
MonotonicityNot monotonic
2024-04-21T02:50:52.267523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
338412.28097 7
 
5.7%
335153.914139 5
 
4.1%
337329.213273 5
 
4.1%
354807.053275 3
 
2.4%
340411.771764 2
 
1.6%
337384.429845 2
 
1.6%
346671.304307 2
 
1.6%
333920.60853 2
 
1.6%
352275.472365 2
 
1.6%
354427.57914 1
 
0.8%
Other values (90) 90
73.2%
(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%
333486.297605 1
0.8%
333920.60853 2
1.6%
334265.874813 1
0.8%
ValueCountFrequency (%)
355567.693374 1
 
0.8%
355444.760056 1
 
0.8%
354981.40395 1
 
0.8%
354976.751149 1
 
0.8%
354807.053275 3
2.4%
354427.57914 1
 
0.8%
353980.730932 1
 
0.8%
353971.781376 1
 
0.8%
352818.049858 1
 
0.8%
352677.090755 1
 
0.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)82.6%
Missing2
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean263683.04
Minimum244838.38
Maximum274508.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-21T02:50:52.668441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244838.38
5-th percentile257287.88
Q1261316
median264257.42
Q3265463.04
95-th percentile269400.83
Maximum274508.22
Range29669.836
Interquartile range (IQR)4147.0424

Descriptive statistics

Standard deviation4126.8766
Coefficient of variation (CV)0.015650899
Kurtosis4.2694284
Mean263683.04
Median Absolute Deviation (MAD)1803.5765
Skewness-0.94663835
Sum31905648
Variance17031111
MonotonicityNot monotonic
2024-04-21T02:50:53.097818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264257.421959 7
 
5.7%
264331.984615 5
 
4.1%
260416.780233 5
 
4.1%
264751.958417 3
 
2.4%
272600.063881 2
 
1.6%
260371.115494 2
 
1.6%
264957.682619 2
 
1.6%
261405.687893 2
 
1.6%
264925.058164 2
 
1.6%
261608.364954 1
 
0.8%
Other values (90) 90
73.2%
(Missing) 2
 
1.6%
ValueCountFrequency (%)
244838.382091 1
0.8%
248845.861218 1
0.8%
254318.70007 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%
258023.722111 1
0.8%
ValueCountFrequency (%)
274508.218106 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%
268253.789362 1
0.8%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
축산물운반업
123 

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 123
100.0%

Length

2024-04-21T02:50:53.513127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:50:53.809974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 123
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing123
Missing (%)100.0%
Memory size1.2 KiB

축산일련번호
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
107 
0
16 

Length

Max length4
Median length4
Mean length3.6097561
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> 107
87.0%
0 16
 
13.0%

Length

2024-04-21T02:50:54.142084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:50:54.463509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
87.0%
0 16
 
13.0%

권리주체일련번호
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
000
64 
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 64
52.0%
L00 59
48.0%

Length

2024-04-21T02:50:54.790289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:50:55.096662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 64
52.0%
l00 59
48.0%

총종업원수
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
107 
0
16 

Length

Max length4
Median length4
Mean length3.6097561
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> 107
87.0%
0 16
 
13.0%

Length

2024-04-21T02:50:55.444353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:50:55.681049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
87.0%
0 16
 
13.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
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_P342000034200000082008000120080220<NA>1영업/정상0정상<NA><NA><NA><NA>759482849.5<NA>대구광역시 동구 방촌동 ****-***대구광역시 동구 화랑로 *** (방촌동)<NA>(주)성진냉동20210811154812U2021-08-13 02:40:00.0<NA>350504.394278265405.168322축산물운반업<NA>0L000
67축산물운반업07_22_25_P342000034200000082009000120090305<NA>3폐업2폐업20130730<NA><NA><NA>961-093588.2<NA>대구광역시 동구 동호동 **-**번지대구광역시 동구 안심로**길 ** (동호동)<NA>동원물산20130730140608I2018-08-31 23:59:59.0<NA>354807.053275264751.958417축산물운반업<NA><NA>000<NA>
78축산물운반업07_22_25_P342000034200000082009000220090417<NA>3폐업2폐업20170123<NA><NA><NA>985-3347132.0<NA>대구광역시 동구 용계동 ***-*번지대구광역시 동구 화랑로 *** (용계동)<NA>(주)대현운송20170123145045I2018-08-31 23:59:59.0<NA>352275.472365264925.058164축산물운반업<NA><NA>L00<NA>
89축산물운반업07_22_25_P342000034200000082009000320090605<NA>1영업/정상0정상<NA><NA><NA><NA>954632384.0<NA>대구광역시 동구 신암동 ***-*번지 ***호대구광역시 동구 동북로 ***, ***호 (신암동, 오베이스)41220전진운수(주)20140320155930I2018-08-31 23:59:59.0<NA>347483.915581266103.178136축산물운반업<NA><NA>L00<NA>
910축산물운반업07_22_25_P342000034200000082012000120120202<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 동구 신서동 ***-*번지대구광역시 동구 안심로**길 ** (신서동)41082(주)코로넷20150514101629I2018-08-31 23:59:59.0<NA>355567.693374264644.961698축산물운반업<NA><NA>L00<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
113114축산물운반업07_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>
114115축산물운반업07_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>
115116축산물운반업07_22_25_P348000034800000082016000220160502<NA>1영업/정상0정상<NA><NA><NA><NA><NA>45.1<NA>대구광역시 달성군 다사읍 서재리 ***번지대구광역시 달성군 다사읍 서재로 **42927비산개인용달20160502083458I2018-08-31 23:59:59.0<NA>335153.914139264331.984615축산물운반업<NA><NA>000<NA>
116117축산물운반업07_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>
117118축산물운반업07_22_25_P348000034800000082016000420160721<NA>4취소/말소/만료/정지/중지4말소20210312<NA><NA><NA><NA>45.1<NA>대구광역시 달성군 다사읍 서재리 ***대구광역시 달성군 다사읍 서재로 **42927다장화물20210312100621U2021-03-14 02:40:00.0<NA>335153.914139264331.984615축산물운반업<NA><NA>000<NA>
118119축산물운반업07_22_25_P348000034800000082016000520160721<NA>1영업/정상0정상<NA><NA><NA><NA><NA>45.1<NA>대구광역시 달성군 다사읍 서재리 ***번지대구광역시 달성군 다사읍 서재로 **42927용산축산20160721135946I2018-08-31 23:59:59.0<NA>335153.914139264331.984615축산물운반업<NA><NA>000<NA>
119120축산물운반업07_22_25_P348000034800000082018000120180731<NA>3폐업2폐업20190227<NA><NA><NA><NA>45.1<NA>대구광역시 달성군 다사읍 서재리 ***번지대구광역시 달성군 다사읍 서재로 **42927개인용달20190227095822U2019-03-01 02:40:00.0<NA>335153.914139264331.984615축산물운반업<NA><NA>000<NA>
120121축산물운반업07_22_25_P348000034800000082020000120200115<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 달성군 다사읍 매곡리 ****대구광역시 달성군 다사읍 왕선로 **, ***동 ***호 (죽곡 하우젠트아너스빌)42914영일운수20211221165627U2021-12-23 02:40:00.0<NA>332298.355065263327.850707축산물운반업<NA>00000
121122축산물운반업07_22_25_P348000034800000082021000120210623<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 달성군 다사읍 매곡리 **** 죽곡휴먼시아*단지대구광역시 달성군 다사읍 대실역북로*길 *, ***동 ***호 (죽곡휴먼시아*단지)42914덕이화물20210623135438I2021-06-25 00:22:54.0<NA>332426.0567263147.567587축산물운반업<NA><NA>000<NA>
122123축산물운반업07_22_25_P348000034800000082001000120010803<NA>3폐업2폐업20200701<NA><NA><NA>053)639-450010.0<NA>대구광역시 달성군 화원읍 명곡리 ***-* 화원상가빌딩 *층대구광역시 달성군 화원읍 성화로 * (화원상가빌딩 *층)<NA>(주)대산물류20200701173434U2020-07-03 02:40:00.0<NA>334768.549272256648.067692축산물운반업<NA><NA>000<NA>