Overview

Dataset statistics

Number of variables33
Number of observations126
Missing cells1052
Missing cells (%)25.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.2 KiB
Average record size in memory286.0 B

Variable types

Numeric10
Categorical11
Unsupported7
Text4
DateTime1

Dataset

Description22년06월_6270000_대구광역시_07_22_25_P_축산물운반업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093750&dataSetDetailId=DDI_0000093761&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
축산업무구분명 has constant value ""Constant
인허가취소일자 has 126 (100.0%) missing valuesMissing
폐업일자 has 69 (54.8%) missing valuesMissing
휴업시작일자 has 126 (100.0%) missing valuesMissing
휴업종료일자 has 126 (100.0%) missing valuesMissing
재개업일자 has 126 (100.0%) missing valuesMissing
소재지전화 has 56 (44.4%) missing valuesMissing
소재지우편번호 has 126 (100.0%) missing valuesMissing
도로명전체주소 has 4 (3.2%) missing valuesMissing
도로명우편번호 has 36 (28.6%) missing valuesMissing
업태구분명 has 126 (100.0%) missing valuesMissing
좌표정보(X) has 2 (1.6%) missing valuesMissing
좌표정보(Y) has 2 (1.6%) missing valuesMissing
축산물가공업구분명 has 126 (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 51 (40.5%) zerosZeros

Reproduction

Analysis started2024-04-21 18:45:23.294652
Analysis finished2024-04-21 18:45:24.102937
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.5
Minimum1
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-22T03:45:24.300568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.25
Q132.25
median63.5
Q394.75
95-th percentile119.75
Maximum126
Range125
Interquartile range (IQR)62.5

Descriptive statistics

Standard deviation36.517119
Coefficient of variation (CV)0.57507274
Kurtosis-1.2
Mean63.5
Median Absolute Deviation (MAD)31.5
Skewness0
Sum8001
Variance1333.5
MonotonicityStrictly increasing
2024-04-22T03:45:24.752317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
81 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%
88 1
 
0.8%
87 1
 
0.8%
Other values (116) 116
92.1%
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 (%)
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%
118 1
0.8%
117 1
0.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
축산물운반업
126 

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 126
100.0%

Length

2024-04-22T03:45:25.170648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:45:25.470522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 126
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
07_22_25_P
126 

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 126
100.0%

Length

2024-04-22T03:45:25.787578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:45:26.087167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_25_p 126
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450000
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-22T03:45:26.360682image/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 deviation22768.399
Coefficient of variation (CV)0.006599536
Kurtosis-1.371818
Mean3450000
Median Absolute Deviation (MAD)20000
Skewness-0.19008613
Sum4.347 × 108
Variance5.184 × 108
MonotonicityIncreasing
2024-04-22T03:45:26.723331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 25
19.8%
3450000 23
18.3%
3420000 22
17.5%
3480000 21
16.7%
3430000 17
13.5%
3460000 10
 
7.9%
3410000 5
 
4.0%
3440000 3
 
2.4%
ValueCountFrequency (%)
3410000 5
 
4.0%
3420000 22
17.5%
3430000 17
13.5%
3440000 3
 
2.4%
3450000 23
18.3%
3460000 10
 
7.9%
3470000 25
19.8%
3480000 21
16.7%
ValueCountFrequency (%)
3480000 21
16.7%
3470000 25
19.8%
3460000 10
 
7.9%
3450000 23
18.3%
3440000 3
 
2.4%
3430000 17
13.5%
3420000 22
17.5%
3410000 5
 
4.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.45 × 1017
Minimum3.41 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-22T03:45:27.128210image/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 deviation2.2768399 × 1015
Coefficient of variation (CV)0.006599536
Kurtosis-1.371818
Mean3.45 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.19008613
Sum6.576512 × 1018
Variance5.184 × 1030
MonotonicityNot monotonic
2024-04-22T03:45:27.584759image/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 (116) 116
92.1%
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)

Distinct113
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20129537
Minimum19980807
Maximum20220629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-22T03:45:28.014098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980807
5-th percentile20021010
Q120071019
median20151164
Q320190190
95-th percentile20211050
Maximum20220629
Range239822
Interquartile range (IQR)119171

Descriptive statistics

Standard deviation66522.271
Coefficient of variation (CV)0.0033047094
Kurtosis-0.99176893
Mean20129537
Median Absolute Deviation (MAD)50352.5
Skewness-0.44702475
Sum2.5363217 × 109
Variance4.4252126 × 109
MonotonicityNot monotonic
2024-04-22T03:45:28.362613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160704 7
 
5.6%
20160721 2
 
1.6%
20021010 2
 
1.6%
20200407 2
 
1.6%
20210512 2
 
1.6%
20151030 2
 
1.6%
20211130 2
 
1.6%
20191008 2
 
1.6%
20050428 1
 
0.8%
20060321 1
 
0.8%
Other values (103) 103
81.7%
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 (%)
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%
20210527 1
0.8%
20210512 2
1.6%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
68 
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 68
54.0%
3 49
38.9%
4 9
 
7.1%

Length

2024-04-22T03:45:28.585693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:45:28.756587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 68
54.0%
3 49
38.9%
4 9
 
7.1%

영업상태명
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
68 
폐업
49 
취소/말소/만료/정지/중지
9 

Length

Max length14
Median length5
Mean length4.4761905
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 68
54.0%
폐업 49
38.9%
취소/말소/만료/정지/중지 9
 
7.1%

Length

2024-04-22T03:45:28.952376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:45:29.134042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 68
54.0%
폐업 49
38.9%
취소/말소/만료/정지/중지 9
 
7.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0
68 
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 68
54.0%
2 49
38.9%
4 9
 
7.1%

Length

2024-04-22T03:45:29.322147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:45:29.494126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 68
54.0%
2 49
38.9%
4 9
 
7.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
정상
68 
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 68
54.0%
폐업 49
38.9%
말소 9
 
7.1%

Length

2024-04-22T03:45:29.676039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:45:29.848300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 68
54.0%
폐업 49
38.9%
말소 9
 
7.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)84.2%
Missing69
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean20162652
Minimum20041120
Maximum20220112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-22T03:45:30.291710image/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
2024-04-22T03:45:30.556926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
20210312 4
 
3.2%
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
30.2%
(Missing) 69
54.8%
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
3.2%
20210226 1
 
0.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

소재지전화
Text

MISSING 

Distinct68
Distinct (%)97.1%
Missing56
Missing (%)44.4%
Memory size1.1 KiB
2024-04-22T03:45:31.504718image/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%
2024-04-22T03:45:32.825964image/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 (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.852778
Minimum0
Maximum1682
Zeros51
Zeros (%)40.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-22T03:45:33.229517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median22.095
Q369.5625
95-th percentile439.345
Maximum1682
Range1682
Interquartile range (IQR)69.5625

Descriptive statistics

Standard deviation193.85519
Coefficient of variation (CV)2.3683398
Kurtosis38.138849
Mean81.852778
Median Absolute Deviation (MAD)22.095
Skewness5.3858995
Sum10313.45
Variance37579.835
MonotonicityNot monotonic
2024-04-22T03:45:33.673621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 51
40.5%
45.1 5
 
4.0%
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
46.0%
ValueCountFrequency (%)
0.0 51
40.5%
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 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

소재지전체주소
Text

Distinct109
Distinct (%)87.2%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2024-04-22T03:45:34.716782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length38
Mean length23.456
Min length18

Characters and Unicode

Total characters2932
Distinct characters132
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

Unique100 ?
Unique (%)80.0%

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 125
21.7%
번지 69
 
12.0%
55
 
9.5%
달서구 25
 
4.3%
동구 22
 
3.8%
북구 22
 
3.8%
달성군 21
 
3.6%
호 21
 
3.6%
서구 17
 
2.9%
다사읍 10
 
1.7%
Other values (103) 190
32.9%
2024-04-22T03:45:35.884477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 615
21.0%
558
19.0%
구 233
 
7.9%
동 143
 
4.9%
대 132
 
4.5%
시 128
 
4.4%
역 125
 
4.3%
광 125
 
4.3%
- 93
 
3.2%
지 76
 
2.6%
Other values (122) 704
24.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1665
56.8%
Other Punctuation 615
 
21.0%
Space Separator 558
 
19.0%
Dash Punctuation 93
 
3.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 233
14.0%
동 143
 
8.6%
대 132
 
7.9%
시 128
 
7.7%
역 125
 
7.5%
광 125
 
7.5%
지 76
 
4.6%
번 69
 
4.1%
서 52
 
3.1%
달 47
 
2.8%
Other values (118) 535
32.1%
Other Punctuation
ValueCountFrequency (%)
* 615
100.0%
Space Separator
ValueCountFrequency (%)
558
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1665
56.8%
Common 1266
43.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 233
14.0%
동 143
 
8.6%
대 132
 
7.9%
시 128
 
7.7%
역 125
 
7.5%
광 125
 
7.5%
지 76
 
4.6%
번 69
 
4.1%
서 52
 
3.1%
달 47
 
2.8%
Other values (118) 535
32.1%
Common
ValueCountFrequency (%)
* 615
48.6%
558
44.1%
- 93
 
7.3%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1665
56.8%
ASCII 1267
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 615
48.5%
558
44.0%
- 93
 
7.3%
B 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 233
14.0%
동 143
 
8.6%
대 132
 
7.9%
시 128
 
7.7%
역 125
 
7.5%
광 125
 
7.5%
지 76
 
4.6%
번 69
 
4.1%
서 52
 
3.1%
달 47
 
2.8%
Other values (118) 535
32.1%

도로명전체주소
Text

MISSING 

Distinct106
Distinct (%)86.9%
Missing4
Missing (%)3.2%
Memory size1.1 KiB
2024-04-22T03:45:36.879251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length29.565574
Min length19

Characters and Unicode

Total characters3607
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

Unique99 ?
Unique (%)81.1%

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 122
17.0%
120
 
16.7%
호 39
 
5.4%
달서구 24
 
3.3%
북구 23
 
3.2%
동구 22
 
3.1%
달성군 19
 
2.6%
층 18
 
2.5%
서구 17
 
2.4%
동 11
 
1.5%
Other values (186) 302
42.1%
2024-04-22T03:45:38.310926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
595
16.5%
* 588
16.3%
구 250
 
6.9%
동 167
 
4.6%
대 157
 
4.4%
시 127
 
3.5%
역 123
 
3.4%
광 122
 
3.4%
로 121
 
3.4%
) 110
 
3.0%
Other values (171) 1247
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2111
58.5%
Other Punctuation 660
 
18.3%
Space Separator 595
 
16.5%
Close Punctuation 110
 
3.0%
Open Punctuation 110
 
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 250
 
11.8%
동 167
 
7.9%
대 157
 
7.4%
시 127
 
6.0%
역 123
 
5.8%
광 122
 
5.8%
로 121
 
5.7%
서 69
 
3.3%
성 59
 
2.8%
호 58
 
2.7%
Other values (162) 858
40.6%
Other Punctuation
ValueCountFrequency (%)
* 588
89.1%
, 72
 
10.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
595
100.0%
Close Punctuation
ValueCountFrequency (%)
) 110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 110
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2111
58.5%
Common 1492
41.4%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 250
 
11.8%
동 167
 
7.9%
대 157
 
7.4%
시 127
 
6.0%
역 123
 
5.8%
광 122
 
5.8%
로 121
 
5.7%
서 69
 
3.3%
성 59
 
2.8%
호 58
 
2.7%
Other values (162) 858
40.6%
Common
ValueCountFrequency (%)
595
39.9%
* 588
39.4%
) 110
 
7.4%
( 110
 
7.4%
, 72
 
4.8%
- 17
 
1.1%
Latin
ValueCountFrequency (%)
A 2
50.0%
a 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2111
58.5%
ASCII 1496
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
595
39.8%
* 588
39.3%
) 110
 
7.4%
( 110
 
7.4%
, 72
 
4.8%
- 17
 
1.1%
A 2
 
0.1%
a 1
 
0.1%
B 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 250
 
11.8%
동 167
 
7.9%
대 157
 
7.4%
시 127
 
6.0%
역 123
 
5.8%
광 122
 
5.8%
로 121
 
5.7%
서 69
 
3.3%
성 59
 
2.8%
호 58
 
2.7%
Other values (162) 858
40.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)75.6%
Missing36
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean41963.356
Minimum41035
Maximum42971
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-22T03:45:38.729535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41035
5-th percentile41083.35
Q141461.25
median41761
Q342673.75
95-th percentile42927
Maximum42971
Range1936
Interquartile range (IQR)1212.5

Descriptive statistics

Standard deviation641.38352
Coefficient of variation (CV)0.015284372
Kurtosis-1.3517389
Mean41963.356
Median Absolute Deviation (MAD)513
Skewness0.22972122
Sum3776702
Variance411372.82
MonotonicityNot monotonic
2024-04-22T03:45:39.191612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41754 7
 
5.6%
42927 5
 
4.0%
42722 5
 
4.0%
41123 2
 
1.6%
41422 2
 
1.6%
41755 2
 
1.6%
41765 2
 
1.6%
42712 2
 
1.6%
41256 2
 
1.6%
41502 2
 
1.6%
Other values (58) 59
46.8%
(Missing) 36
28.6%
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
4.0%
42914 2
 
1.6%
42905 1
 
0.8%
42820 1
 
0.8%
42740 1
 
0.8%
42729 1
 
0.8%

사업장명
Text

Distinct107
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-22T03:45:40.204049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length6.1825397
Min length2

Characters and Unicode

Total characters779
Distinct characters151
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

Unique96 ?
Unique (%)76.2%

Sample

1st row개별화물
2nd row(주)일성화물
3rd rowMJ물류
4th row(주)코리아택배물류
5th row대구우체국
ValueCountFrequency (%)
개별화물 9
 
6.7%
주식회사 7
 
5.2%
개인용달 3
 
2.2%
김태복(개인용달 2
 
1.5%
미소물류 2
 
1.5%
그린로직스 2
 
1.5%
주)일성화물 2
 
1.5%
주)성진냉동 2
 
1.5%
주)능원통운 2
 
1.5%
mj물류 2
 
1.5%
Other values (100) 102
75.6%
2024-04-22T03:45:41.303138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 60
 
7.7%
) 57
 
7.3%
( 56
 
7.2%
물 46
 
5.9%
류 27
 
3.5%
화 19
 
2.4%
운 18
 
2.3%
스 17
 
2.2%
성 16
 
2.1%
개 15
 
1.9%
Other values (141) 448
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 647
83.1%
Close Punctuation 57
 
7.3%
Open Punctuation 56
 
7.2%
Space Separator 9
 
1.2%
Uppercase Letter 4
 
0.5%
Decimal Number 4
 
0.5%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 60
 
9.3%
물 46
 
7.1%
류 27
 
4.2%
화 19
 
2.9%
운 18
 
2.8%
스 17
 
2.6%
성 16
 
2.5%
개 15
 
2.3%
수 15
 
2.3%
이 15
 
2.3%
Other values (132) 399
61.7%
Decimal Number
ValueCountFrequency (%)
5 2
50.0%
9 1
25.0%
8 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
J 2
50.0%
M 2
50.0%
Close Punctuation
ValueCountFrequency (%)
) 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 647
83.1%
Common 128
 
16.4%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 60
 
9.3%
물 46
 
7.1%
류 27
 
4.2%
화 19
 
2.9%
운 18
 
2.8%
스 17
 
2.6%
성 16
 
2.5%
개 15
 
2.3%
수 15
 
2.3%
이 15
 
2.3%
Other values (132) 399
61.7%
Common
ValueCountFrequency (%)
) 57
44.5%
( 56
43.8%
9
 
7.0%
. 2
 
1.6%
5 2
 
1.6%
9 1
 
0.8%
8 1
 
0.8%
Latin
ValueCountFrequency (%)
J 2
50.0%
M 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 647
83.1%
ASCII 132
 
16.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 60
 
9.3%
물 46
 
7.1%
류 27
 
4.2%
화 19
 
2.9%
운 18
 
2.8%
스 17
 
2.6%
성 16
 
2.5%
개 15
 
2.3%
수 15
 
2.3%
이 15
 
2.3%
Other values (132) 399
61.7%
ASCII
ValueCountFrequency (%)
) 57
43.2%
( 56
42.4%
9
 
6.8%
. 2
 
1.5%
J 2
 
1.5%
M 2
 
1.5%
5 2
 
1.5%
9 1
 
0.8%
8 1
 
0.8%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0175771 × 1013
Minimum2.0030616 × 1013
Maximum2.0220629 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-22T03:45:41.548315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030616 × 1013
5-th percentile2.0080124 × 1013
Q12.0160627 × 1013
median2.0190957 × 1013
Q32.0210324 × 1013
95-th percentile2.02205 × 1013
Maximum2.0220629 × 1013
Range1.9001306 × 1011
Interquartile range (IQR)4.9696722 × 1010

Descriptive statistics

Standard deviation4.5791715 × 1010
Coefficient of variation (CV)0.002269639
Kurtosis0.86725007
Mean2.0175771 × 1013
Median Absolute Deviation (MAD)2.0008994 × 1010
Skewness-1.3109954
Sum2.5421471 × 1015
Variance2.0968812 × 1021
MonotonicityNot monotonic
2024-04-22T03:45:41.817236image/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 (116) 116
92.1%
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 (%)
20220629153346 1
0.8%
20220622161104 1
0.8%
20220621170710 1
0.8%
20220620180219 1
0.8%
20220610102004 1
0.8%
20220608090500 1
0.8%
20220526141744 1
0.8%
20220420102532 1
0.8%
20220303154758 1
0.8%
20220224091042 1
0.8%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
71 
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 71
56.3%
U 55
43.7%

Length

2024-04-22T03:45:42.063966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:45:42.233394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 71
56.3%
u 55
43.7%

데이터갱신일자
Date

Distinct69
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-02 00:22:30
2024-04-22T03:45:42.420606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T03:45:42.672307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct103
Distinct (%)83.1%
Missing2
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean341653.89
Minimum325882.67
Maximum355567.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-22T03:45:42.913057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325882.67
5-th percentile332431
Q1337329.21
median340107.04
Q3345861.19
95-th percentile354750.13
Maximum355567.69
Range29685.027
Interquartile range (IQR)8531.9744

Descriptive statistics

Standard deviation6617.4485
Coefficient of variation (CV)0.019368867
Kurtosis-0.36141044
Mean341653.89
Median Absolute Deviation (MAD)4124.4505
Skewness0.45582531
Sum42365082
Variance43790625
MonotonicityNot monotonic
2024-04-22T03:45:43.159374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
338412.28097 7
 
5.6%
335153.914139 5
 
4.0%
337329.213273 5
 
4.0%
354807.053275 3
 
2.4%
337384.429845 2
 
1.6%
346671.304307 2
 
1.6%
340411.771764 2
 
1.6%
333920.60853 2
 
1.6%
352275.472365 2
 
1.6%
346783.821105 1
 
0.8%
Other values (93) 93
73.8%
(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
2.4%
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 

Distinct103
Distinct (%)83.1%
Missing2
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean263627.42
Minimum244838.38
Maximum274508.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-22T03:45:43.407948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244838.38
5-th percentile256744.04
Q1261315.89
median264257.42
Q3265439.73
95-th percentile269400.38
Maximum274508.22
Range29669.836
Interquartile range (IQR)4123.833

Descriptive statistics

Standard deviation4135.6697
Coefficient of variation (CV)0.015687555
Kurtosis4.0751047
Mean263627.42
Median Absolute Deviation (MAD)1802.8969
Skewness-0.93062728
Sum32689800
Variance17103763
MonotonicityNot monotonic
2024-04-22T03:45:43.645321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264257.421959 7
 
5.6%
264331.984615 5
 
4.0%
260416.780233 5
 
4.0%
264751.958417 3
 
2.4%
260371.115494 2
 
1.6%
264957.682619 2
 
1.6%
272600.063881 2
 
1.6%
261405.687893 2
 
1.6%
264925.058164 2
 
1.6%
260509.11428 1
 
0.8%
Other values (93) 93
73.8%
(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%
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
126 

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 126
100.0%

Length

2024-04-22T03:45:44.042888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:45:44.341441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물운반업 126
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing126
Missing (%)100.0%
Memory size1.2 KiB

축산일련번호
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
105 
0
21 

Length

Max length4
Median length4
Mean length3.5
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
83.3%
0 21
 
16.7%

Length

2024-04-22T03:45:44.675189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:45:45.000243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 105
83.3%
0 21
 
16.7%

권리주체일련번호
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
000
67 
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 67
53.2%
L00 59
46.8%

Length

2024-04-22T03:45:45.329407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:45:45.636285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 67
53.2%
l00 59
46.8%

총종업원수
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
105 
0
21 

Length

Max length4
Median length4
Mean length3.5
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
83.3%
0 21
 
16.7%

Length

2024-04-22T03:45:45.984707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T03:45:46.304986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 105
83.3%
0 21
 
16.7%

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 ***-* ***호대구광역시 동구 동북로 ***, ***호 (신암동, 오베이스)41220전진운수(주)20220622161104U2022-06-24 02:40:00.0<NA>347483.915581266103.178136축산물운반업<NA>0L000
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
116117축산물운반업07_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>
117118축산물운반업07_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>
118119축산물운반업07_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>
119120축산물운반업07_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>
120121축산물운반업07_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>
121122축산물운반업07_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>
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