Overview

Dataset statistics

Number of variables33
Number of observations25
Missing cells174
Missing cells (%)21.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory290.3 B

Variable types

Numeric11
Categorical12
Unsupported5
Text4
DateTime1

Dataset

Description22년06월_6270000_대구광역시_07_22_24_P_축산물보관업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093750&dataSetDetailId=DDI_0000093765&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
축산업무구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (75.8%)Imbalance
인허가취소일자 has 25 (100.0%) missing valuesMissing
폐업일자 has 15 (60.0%) missing valuesMissing
휴업종료일자 has 25 (100.0%) missing valuesMissing
재개업일자 has 19 (76.0%) missing valuesMissing
소재지전화 has 5 (20.0%) missing valuesMissing
소재지우편번호 has 25 (100.0%) missing valuesMissing
소재지전체주소 has 1 (4.0%) missing valuesMissing
도로명전체주소 has 1 (4.0%) missing valuesMissing
도로명우편번호 has 8 (32.0%) missing valuesMissing
업태구분명 has 25 (100.0%) missing valuesMissing
축산물가공업구분명 has 25 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 has unique valuesUnique
좌표정보(X) has unique valuesUnique
좌표정보(Y) has unique valuesUnique
인허가취소일자 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
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 4 (16.0%) zerosZeros

Reproduction

Analysis started2023-12-10 18:03:07.322773
Analysis finished2023-12-10 18:03:08.000329
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T03:03:08.120124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-11T03:03:08.348024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
축산물보관업
25 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물보관업 25
100.0%

Length

2023-12-11T03:03:08.585888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:03:08.784754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물보관업 25
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
07_22_24_P
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_24_P
2nd row07_22_24_P
3rd row07_22_24_P
4th row07_22_24_P
5th row07_22_24_P

Common Values

ValueCountFrequency (%)
07_22_24_P 25
100.0%

Length

2023-12-11T03:03:08.954768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:03:09.136480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_24_p 25
100.0%

개방자치단체코드
Real number (ℝ)

Distinct6
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3456000
Minimum3420000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T03:03:09.306039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3420000
5-th percentile3420000
Q13450000
median3450000
Q33480000
95-th percentile3480000
Maximum3480000
Range60000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation20615.528
Coefficient of variation (CV)0.0059651412
Kurtosis-0.92514737
Mean3456000
Median Absolute Deviation (MAD)20000
Skewness-0.37217743
Sum86400000
Variance4.25 × 108
MonotonicityIncreasing
2023-12-11T03:03:09.519604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3450000 9
36.0%
3480000 7
28.0%
3420000 3
 
12.0%
3470000 3
 
12.0%
3430000 2
 
8.0%
3460000 1
 
4.0%
ValueCountFrequency (%)
3420000 3
 
12.0%
3430000 2
 
8.0%
3450000 9
36.0%
3460000 1
 
4.0%
3470000 3
 
12.0%
3480000 7
28.0%
ValueCountFrequency (%)
3480000 7
28.0%
3470000 3
 
12.0%
3460000 1
 
4.0%
3450000 9
36.0%
3430000 2
 
8.0%
3420000 3
 
12.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.456 × 1017
Minimum3.42 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T03:03:09.769701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.42 × 1017
5-th percentile3.42 × 1017
Q13.45 × 1017
median3.45 × 1017
Q33.48 × 1017
95-th percentile3.48 × 1017
Maximum3.48 × 1017
Range6 × 1015
Interquartile range (IQR)3 × 1015

Descriptive statistics

Standard deviation2.0615528 × 1015
Coefficient of variation (CV)0.0059651412
Kurtosis-0.92514737
Mean3.456 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.37217743
Sum8.64 × 1018
Variance4.25 × 1030
MonotonicityNot monotonic
2023-12-11T03:03:10.020744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
342000000720130001 1
 
4.0%
342000000720110001 1
 
4.0%
348000000720200002 1
 
4.0%
348000000720150001 1
 
4.0%
348000000720010001 1
 
4.0%
348000000720220001 1
 
4.0%
348000000720050001 1
 
4.0%
348000000720210001 1
 
4.0%
348000000720200001 1
 
4.0%
347000000719980001 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
342000000720110001 1
4.0%
342000000720130001 1
4.0%
342000000720160001 1
4.0%
343000000720090001 1
4.0%
343000000720120001 1
4.0%
345000000720070001 1
4.0%
345000000720090001 1
4.0%
345000000720090002 1
4.0%
345000000720100001 1
4.0%
345000000720130001 1
4.0%
ValueCountFrequency (%)
348000000720220001 1
4.0%
348000000720210001 1
4.0%
348000000720200002 1
4.0%
348000000720200001 1
4.0%
348000000720150001 1
4.0%
348000000720050001 1
4.0%
348000000720010001 1
4.0%
347000000720180001 1
4.0%
347000000720070001 1
4.0%
347000000719980001 1
4.0%

인허가일자
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20118663
Minimum19980807
Maximum20220427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T03:03:10.253951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980807
5-th percentile20002552
Q120090330
median20131113
Q320160407
95-th percentile20208568
Maximum20220427
Range239620
Interquartile range (IQR)70077

Descriptive statistics

Standard deviation64472.273
Coefficient of variation (CV)0.0032046003
Kurtosis-0.25712514
Mean20118663
Median Absolute Deviation (MAD)40487
Skewness-0.4584469
Sum5.0296658 × 108
Variance4.1566739 × 109
MonotonicityNot monotonic
2023-12-11T03:03:10.487622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20131206 1
 
4.0%
20110221 1
 
4.0%
20201215 1
 
4.0%
20150904 1
 
4.0%
20011105 1
 
4.0%
20220427 1
 
4.0%
20050315 1
 
4.0%
20210406 1
 
4.0%
20201021 1
 
4.0%
19980807 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
19980807 1
4.0%
20000414 1
4.0%
20011105 1
4.0%
20050315 1
4.0%
20070213 1
4.0%
20070314 1
4.0%
20090330 1
4.0%
20090626 1
4.0%
20090717 1
4.0%
20100520 1
4.0%
ValueCountFrequency (%)
20220427 1
4.0%
20210406 1
4.0%
20201215 1
4.0%
20201021 1
4.0%
20180530 1
4.0%
20161012 1
4.0%
20160407 1
4.0%
20150904 1
4.0%
20150717 1
4.0%
20140616 1
4.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
1
14 
3
10 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row1
2nd row3
3rd row3
4th row1
5th row3

Common Values

ValueCountFrequency (%)
1 14
56.0%
3 10
40.0%
2 1
 
4.0%

Length

2023-12-11T03:03:10.741422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:03:10.964479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 14
56.0%
3 10
40.0%
2 1
 
4.0%

영업상태명
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업/정상
14 
폐업
10 
휴업
 
1

Length

Max length5
Median length5
Mean length3.68
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row영업/정상
2nd row폐업
3rd row폐업
4th row영업/정상
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 14
56.0%
폐업 10
40.0%
휴업 1
 
4.0%

Length

2023-12-11T03:03:11.178706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:03:11.778941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 14
56.0%
폐업 10
40.0%
휴업 1
 
4.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
14 
2
10 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row0
2nd row2
3rd row2
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 14
56.0%
2 10
40.0%
1 1
 
4.0%

Length

2023-12-11T03:03:11.972456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:03:12.162234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 14
56.0%
2 10
40.0%
1 1
 
4.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
정상
14 
폐업
10 
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 14
56.0%
폐업 10
40.0%
휴업 1
 
4.0%

Length

2023-12-11T03:03:12.373152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:03:12.606148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 14
56.0%
폐업 10
40.0%
휴업 1
 
4.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing15
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean20160708
Minimum20090330
Maximum20210429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T03:03:12.788151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090330
5-th percentile20090682
Q120120468
median20180920
Q320191064
95-th percentile20210376
Maximum20210429
Range120099
Interquartile range (IQR)70596.25

Descriptive statistics

Standard deviation47148.081
Coefficient of variation (CV)0.0023386124
Kurtosis-1.3087876
Mean20160708
Median Absolute Deviation (MAD)29450
Skewness-0.65980658
Sum2.0160708 × 108
Variance2.2229416 × 109
MonotonicityNot monotonic
2023-12-11T03:03:13.026826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20110322 1
 
4.0%
20191213 1
 
4.0%
20091113 1
 
4.0%
20090330 1
 
4.0%
20190617 1
 
4.0%
20181213 1
 
4.0%
20150905 1
 
4.0%
20180628 1
 
4.0%
20210429 1
 
4.0%
20210312 1
 
4.0%
(Missing) 15
60.0%
ValueCountFrequency (%)
20090330 1
4.0%
20091113 1
4.0%
20110322 1
4.0%
20150905 1
4.0%
20180628 1
4.0%
20181213 1
4.0%
20190617 1
4.0%
20191213 1
4.0%
20210312 1
4.0%
20210429 1
4.0%
ValueCountFrequency (%)
20210429 1
4.0%
20210312 1
4.0%
20191213 1
4.0%
20190617 1
4.0%
20181213 1
4.0%
20180628 1
4.0%
20150905 1
4.0%
20110322 1
4.0%
20091113 1
4.0%
20090330 1
4.0%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
24 
20200610
 
1

Length

Max length8
Median length4
Mean length4.16
Min length4

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 24
96.0%
20200610 1
 
4.0%

Length

2023-12-11T03:03:13.306826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:03:13.536081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
96.0%
20200610 1
 
4.0%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

재개업일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing19
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean20194069
Minimum20180628
Maximum20210429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T03:03:13.715529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180628
5-th percentile20180774
Q120183564
median20190915
Q320205537
95-th percentile20210400
Maximum20210429
Range29801
Interquartile range (IQR)21973.25

Descriptive statistics

Standard deviation13397.723
Coefficient of variation (CV)0.00066344842
Kurtosis-1.8741418
Mean20194069
Median Absolute Deviation (MAD)9994.5
Skewness0.50492777
Sum1.2116441 × 108
Variance1.7949898 × 108
MonotonicityNot monotonic
2023-12-11T03:03:13.931955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20191213 1
 
4.0%
20190617 1
 
4.0%
20181213 1
 
4.0%
20180628 1
 
4.0%
20210429 1
 
4.0%
20210312 1
 
4.0%
(Missing) 19
76.0%
ValueCountFrequency (%)
20180628 1
4.0%
20181213 1
4.0%
20190617 1
4.0%
20191213 1
4.0%
20210312 1
4.0%
20210429 1
4.0%
ValueCountFrequency (%)
20210429 1
4.0%
20210312 1
4.0%
20191213 1
4.0%
20190617 1
4.0%
20181213 1
4.0%
20180628 1
4.0%

소재지전화
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing5
Missing (%)20.0%
Memory size332.0 B
2023-12-11T03:03:14.317801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12.5
Mean length10.45
Min length8

Characters and Unicode

Total characters209
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

Unique20 ?
Unique (%)100.0%

Sample

1st row053-359-3665
2nd row053-384-5878
3rd row580-2527
4th row280-5000
5th row357-5556
ValueCountFrequency (%)
053-384-5878 1
 
5.0%
580-2527 1
 
5.0%
053-583-7069 1
 
5.0%
053-593-5910 1
 
5.0%
593-2264 1
 
5.0%
053-566-0980 1
 
5.0%
607-5002 1
 
5.0%
795-4253 1
 
5.0%
0533137100 1
 
5.0%
053-324-8298 1
 
5.0%
Other values (10) 10
50.0%
2023-12-11T03:03:15.034094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33
15.8%
5 33
15.8%
3 31
14.8%
- 28
13.4%
8 17
8.1%
2 14
6.7%
6 14
6.7%
9 11
 
5.3%
7 10
 
4.8%
1 9
 
4.3%
Other values (2) 9
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 180
86.1%
Dash Punctuation 28
 
13.4%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33
18.3%
5 33
18.3%
3 31
17.2%
8 17
9.4%
2 14
7.8%
6 14
7.8%
9 11
 
6.1%
7 10
 
5.6%
1 9
 
5.0%
4 8
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 209
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 33
15.8%
5 33
15.8%
3 31
14.8%
- 28
13.4%
8 17
8.1%
2 14
6.7%
6 14
6.7%
9 11
 
5.3%
7 10
 
4.8%
1 9
 
4.3%
Other values (2) 9
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 209
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33
15.8%
5 33
15.8%
3 31
14.8%
- 28
13.4%
8 17
8.1%
2 14
6.7%
6 14
6.7%
9 11
 
5.3%
7 10
 
4.8%
1 9
 
4.3%
Other values (2) 9
 
4.3%

소재지면적
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean578.3724
Minimum0
Maximum3562
Zeros4
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T03:03:15.292499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q197.5
median267.12
Q3873.6
95-th percentile1648.956
Maximum3562
Range3562
Interquartile range (IQR)776.1

Descriptive statistics

Standard deviation784.13336
Coefficient of variation (CV)1.3557586
Kurtosis8.2462459
Mean578.3724
Median Absolute Deviation (MAD)258.32
Skewness2.5719807
Sum14459.31
Variance614865.12
MonotonicityNot monotonic
2023-12-11T03:03:15.550741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 4
 
16.0%
148.52 1
 
4.0%
97.5 1
 
4.0%
696.57 1
 
4.0%
440.0 1
 
4.0%
873.6 1
 
4.0%
433.0 1
 
4.0%
8.8 1
 
4.0%
431.2 1
 
4.0%
200.0 1
 
4.0%
Other values (12) 12
48.0%
ValueCountFrequency (%)
0.0 4
16.0%
8.8 1
 
4.0%
20.55 1
 
4.0%
97.5 1
 
4.0%
148.52 1
 
4.0%
191.8 1
 
4.0%
200.0 1
 
4.0%
206.0 1
 
4.0%
247.0 1
 
4.0%
267.12 1
 
4.0%
ValueCountFrequency (%)
3562.0 1
4.0%
1708.0 1
4.0%
1412.78 1
4.0%
1166.0 1
4.0%
1047.08 1
4.0%
891.99 1
4.0%
873.6 1
4.0%
696.57 1
4.0%
440.0 1
4.0%
433.0 1
4.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

소재지전체주소
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing1
Missing (%)4.0%
Memory size332.0 B
2023-12-11T03:03:15.969612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.958333
Min length17

Characters and Unicode

Total characters503
Distinct characters64
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row대구광역시 동구 부동 502-3
2nd row대구광역시 동구 방촌동 1093-1
3rd row대구광역시 서구 이현동 45-278
4th row대구광역시 서구 비산동 1660
5th row대구광역시 북구 산격동 724-6
ValueCountFrequency (%)
대구광역시 24
23.1%
북구 9
 
8.7%
달성군 7
 
6.7%
달서구 3
 
2.9%
산격동 3
 
2.9%
다사읍 2
 
1.9%
팔달동 2
 
1.9%
옥포읍 2
 
1.9%
논공읍 2
 
1.9%
서구 2
 
1.9%
Other values (46) 48
46.2%
2023-12-11T03:03:16.617535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
20.7%
구 41
 
8.2%
대 24
 
4.8%
광 24
 
4.8%
역 24
 
4.8%
시 24
 
4.8%
동 19
 
3.8%
- 18
 
3.6%
2 16
 
3.2%
1 16
 
3.2%
Other values (54) 193
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 272
54.1%
Decimal Number 108
 
21.5%
Space Separator 104
 
20.7%
Dash Punctuation 18
 
3.6%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 41
15.1%
대 24
 
8.8%
광 24
 
8.8%
역 24
 
8.8%
시 24
 
8.8%
동 19
 
7.0%
달 12
 
4.4%
북 9
 
3.3%
읍 8
 
2.9%
리 8
 
2.9%
Other values (41) 79
29.0%
Decimal Number
ValueCountFrequency (%)
2 16
14.8%
1 16
14.8%
0 14
13.0%
3 11
10.2%
6 11
10.2%
5 9
8.3%
4 9
8.3%
7 9
8.3%
8 8
7.4%
9 5
 
4.6%
Space Separator
ValueCountFrequency (%)
104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 272
54.1%
Common 231
45.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 41
15.1%
대 24
 
8.8%
광 24
 
8.8%
역 24
 
8.8%
시 24
 
8.8%
동 19
 
7.0%
달 12
 
4.4%
북 9
 
3.3%
읍 8
 
2.9%
리 8
 
2.9%
Other values (41) 79
29.0%
Common
ValueCountFrequency (%)
104
45.0%
- 18
 
7.8%
2 16
 
6.9%
1 16
 
6.9%
0 14
 
6.1%
3 11
 
4.8%
6 11
 
4.8%
5 9
 
3.9%
4 9
 
3.9%
7 9
 
3.9%
Other values (3) 14
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 272
54.1%
ASCII 231
45.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
104
45.0%
- 18
 
7.8%
2 16
 
6.9%
1 16
 
6.9%
0 14
 
6.1%
3 11
 
4.8%
6 11
 
4.8%
5 9
 
3.9%
4 9
 
3.9%
7 9
 
3.9%
Other values (3) 14
 
6.1%
Hangul
ValueCountFrequency (%)
구 41
15.1%
대 24
 
8.8%
광 24
 
8.8%
역 24
 
8.8%
시 24
 
8.8%
동 19
 
7.0%
달 12
 
4.4%
북 9
 
3.3%
읍 8
 
2.9%
리 8
 
2.9%
Other values (41) 79
29.0%

도로명전체주소
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing1
Missing (%)4.0%
Memory size332.0 B
2023-12-11T03:03:16.951938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length24.5
Min length20

Characters and Unicode

Total characters588
Distinct characters85
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row대구광역시 동구 팔공로 220-2 (봉무동)
2nd row대구광역시 동구 동촌로 260 (방촌동, (주)푸드웰)
3rd row대구광역시 서구 국채보상로3길 25 (이현동)
4th row대구광역시 서구 서대구로63길 11 (비산동)
5th row대구광역시 북구 신천동로 960 (산격동)
ValueCountFrequency (%)
대구광역시 24
 
19.7%
북구 9
 
7.4%
달성군 7
 
5.7%
달서구 3
 
2.5%
산격동 3
 
2.5%
다사읍 2
 
1.6%
팔달동 2
 
1.6%
논공읍 2
 
1.6%
서구 2
 
1.6%
동구 2
 
1.6%
Other values (63) 66
54.1%
2023-12-11T03:03:17.539739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
 
16.7%
구 42
 
7.1%
대 27
 
4.6%
시 26
 
4.4%
광 24
 
4.1%
역 24
 
4.1%
동 24
 
4.1%
로 23
 
3.9%
) 18
 
3.1%
( 18
 
3.1%
Other values (75) 264
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 362
61.6%
Space Separator 98
 
16.7%
Decimal Number 85
 
14.5%
Close Punctuation 18
 
3.1%
Open Punctuation 18
 
3.1%
Dash Punctuation 4
 
0.7%
Other Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 42
 
11.6%
대 27
 
7.5%
시 26
 
7.2%
광 24
 
6.6%
역 24
 
6.6%
동 24
 
6.6%
로 23
 
6.4%
길 14
 
3.9%
달 12
 
3.3%
성 11
 
3.0%
Other values (60) 135
37.3%
Decimal Number
ValueCountFrequency (%)
1 17
20.0%
2 16
18.8%
3 12
14.1%
4 10
11.8%
6 9
10.6%
5 6
 
7.1%
0 6
 
7.1%
7 4
 
4.7%
9 3
 
3.5%
8 2
 
2.4%
Space Separator
ValueCountFrequency (%)
98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 362
61.6%
Common 226
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 42
 
11.6%
대 27
 
7.5%
시 26
 
7.2%
광 24
 
6.6%
역 24
 
6.6%
동 24
 
6.6%
로 23
 
6.4%
길 14
 
3.9%
달 12
 
3.3%
성 11
 
3.0%
Other values (60) 135
37.3%
Common
ValueCountFrequency (%)
98
43.4%
) 18
 
8.0%
( 18
 
8.0%
1 17
 
7.5%
2 16
 
7.1%
3 12
 
5.3%
4 10
 
4.4%
6 9
 
4.0%
5 6
 
2.7%
0 6
 
2.7%
Other values (5) 16
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 362
61.6%
ASCII 226
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
43.4%
) 18
 
8.0%
( 18
 
8.0%
1 17
 
7.5%
2 16
 
7.1%
3 12
 
5.3%
4 10
 
4.4%
6 9
 
4.0%
5 6
 
2.7%
0 6
 
2.7%
Other values (5) 16
 
7.1%
Hangul
ValueCountFrequency (%)
구 42
 
11.6%
대 27
 
7.5%
시 26
 
7.2%
광 24
 
6.6%
역 24
 
6.6%
동 24
 
6.6%
로 23
 
6.4%
길 14
 
3.9%
달 12
 
3.3%
성 11
 
3.0%
Other values (60) 135
37.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)94.1%
Missing8
Missing (%)32.0%
Infinite0
Infinite (%)0.0%
Mean42161.353
Minimum41027
Maximum42983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T03:03:17.764356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41027
5-th percentile41135.8
Q141489
median42273
Q342928
95-th percentile42971
Maximum42983
Range1956
Interquartile range (IQR)1439

Descriptive statistics

Standard deviation749.23777
Coefficient of variation (CV)0.017770724
Kurtosis-1.8642449
Mean42161.353
Median Absolute Deviation (MAD)695
Skewness-0.128368
Sum716743
Variance561357.24
MonotonicityNot monotonic
2023-12-11T03:03:17.983683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
42968 2
 
8.0%
42627 1
 
4.0%
42957 1
 
4.0%
42983 1
 
4.0%
42922 1
 
4.0%
42928 1
 
4.0%
42703 1
 
4.0%
41027 1
 
4.0%
41163 1
 
4.0%
41489 1
 
4.0%
Other values (6) 6
24.0%
(Missing) 8
32.0%
ValueCountFrequency (%)
41027 1
4.0%
41163 1
4.0%
41439 1
4.0%
41483 1
4.0%
41489 1
4.0%
41504 1
4.0%
41555 1
4.0%
41754 1
4.0%
42273 1
4.0%
42627 1
4.0%
ValueCountFrequency (%)
42983 1
4.0%
42968 2
8.0%
42957 1
4.0%
42928 1
4.0%
42922 1
4.0%
42703 1
4.0%
42627 1
4.0%
42273 1
4.0%
41754 1
4.0%
41555 1
4.0%

사업장명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T03:03:18.267350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length8.16
Min length3

Characters and Unicode

Total characters204
Distinct characters82
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row(주)프랜푸드
2nd row남해유통
3rd row주식회사 푸드웰
4th row주식회사 프레시원대구경북
5th row동보냉동
ValueCountFrequency (%)
주식회사 6
 
17.1%
주)프랜푸드 1
 
2.9%
팔도 1
 
2.9%
달성물류소 1
 
2.9%
주식회사팔도 1
 
2.9%
대영유통 1
 
2.9%
대건유통 1
 
2.9%
디케이냉동산업(주 1
 
2.9%
씨엔비 1
 
2.9%
달구지유통 1
 
2.9%
Other values (20) 20
57.1%
2023-12-11T03:03:18.863209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 17
 
8.3%
) 10
 
4.9%
10
 
4.9%
사 9
 
4.4%
식 9
 
4.4%
( 8
 
3.9%
회 8
 
3.9%
대 8
 
3.9%
통 5
 
2.5%
동 5
 
2.5%
Other values (72) 115
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 176
86.3%
Close Punctuation 10
 
4.9%
Space Separator 10
 
4.9%
Open Punctuation 8
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 17
 
9.7%
사 9
 
5.1%
식 9
 
5.1%
회 8
 
4.5%
대 8
 
4.5%
통 5
 
2.8%
동 5
 
2.8%
유 5
 
2.8%
비 4
 
2.3%
이 4
 
2.3%
Other values (69) 102
58.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 176
86.3%
Common 28
 
13.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 17
 
9.7%
사 9
 
5.1%
식 9
 
5.1%
회 8
 
4.5%
대 8
 
4.5%
통 5
 
2.8%
동 5
 
2.8%
유 5
 
2.8%
비 4
 
2.3%
이 4
 
2.3%
Other values (69) 102
58.0%
Common
ValueCountFrequency (%)
) 10
35.7%
10
35.7%
( 8
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 176
86.3%
ASCII 28
 
13.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 17
 
9.7%
사 9
 
5.1%
식 9
 
5.1%
회 8
 
4.5%
대 8
 
4.5%
통 5
 
2.8%
동 5
 
2.8%
유 5
 
2.8%
비 4
 
2.3%
이 4
 
2.3%
Other values (69) 102
58.0%
ASCII
ValueCountFrequency (%)
) 10
35.7%
10
35.7%
( 8
28.6%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0178636 × 1013
Minimum2.0090626 × 1013
Maximum2.0220427 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T03:03:19.108101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0090626 × 1013
5-th percentile2.0091131 × 1013
Q12.0150902 × 1013
median2.0191217 × 1013
Q32.0210406 × 1013
95-th percentile2.022036 × 1013
Maximum2.0220427 × 1013
Range1.2980104 × 1011
Interquartile range (IQR)5.950395 × 1010

Descriptive statistics

Standard deviation4.3215085 × 1010
Coefficient of variation (CV)0.0021416257
Kurtosis-0.022060551
Mean2.0178636 × 1013
Median Absolute Deviation (MAD)1.9195029 × 1010
Skewness-1.1453342
Sum5.044659 × 1014
Variance1.8675436 × 1021
MonotonicityNot monotonic
2023-12-11T03:03:19.368812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20131206094227 1
 
4.0%
20110322172204 1
 
4.0%
20210312095411 1
 
4.0%
20210429145338 1
 
4.0%
20200610111506 1
 
4.0%
20220427151825 1
 
4.0%
20190521130417 1
 
4.0%
20210406101713 1
 
4.0%
20201021105523 1
 
4.0%
20180628170906 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
20090626110842 1
4.0%
20091113114649 1
4.0%
20091203113203 1
4.0%
20110322172204 1
4.0%
20131206094227 1
4.0%
20150701110822 1
4.0%
20150902152110 1
4.0%
20180628170906 1
4.0%
20181214104833 1
4.0%
20190425095545 1
4.0%
ValueCountFrequency (%)
20220427151825 1
4.0%
20220420091813 1
4.0%
20220117174131 1
4.0%
20210429145338 1
4.0%
20210415094806 1
4.0%
20210412170818 1
4.0%
20210406101713 1
4.0%
20210312095411 1
4.0%
20210218194545 1
4.0%
20201021105523 1
4.0%

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
U
14 
I
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 14
56.0%
I 11
44.0%

Length

2023-12-11T03:03:19.604194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:03:19.762808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 14
56.0%
i 11
44.0%

데이터갱신일자
Date

Distinct18
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2018-08-31 23:59:59
Maximum2022-04-29 00:22:33
2023-12-11T03:03:19.924168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:03:20.114500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

좌표정보(X)
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean339532.32
Minimum327502.97
Maximum355777.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T03:03:20.310408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327502.97
5-th percentile329171.13
Q1334250.68
median339403.98
Q3343848.96
95-th percentile351679.37
Maximum355777.38
Range28274.417
Interquartile range (IQR)9598.2803

Descriptive statistics

Standard deviation7202.766
Coefficient of variation (CV)0.021213786
Kurtosis-0.11249232
Mean339532.32
Median Absolute Deviation (MAD)5153.298
Skewness0.4383669
Sum8488308
Variance51879839
MonotonicityNot monotonic
2023-12-11T03:03:20.516774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
348117.600847 1
 
4.0%
351977.848314 1
 
4.0%
334250.681306 1
 
4.0%
332651.312578 1
 
4.0%
327502.965901 1
 
4.0%
333252.1163 1
 
4.0%
334890.551707 1
 
4.0%
329166.158529 1
 
4.0%
329191.0 1
 
4.0%
335900.31218 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
327502.965901 1
4.0%
329166.158529 1
4.0%
329191.0 1
4.0%
332651.312578 1
4.0%
333252.1163 1
4.0%
333920.60853 1
4.0%
334250.681306 1
4.0%
334890.551707 1
4.0%
335900.31218 1
4.0%
338350.931931 1
4.0%
ValueCountFrequency (%)
355777.383277 1
4.0%
351977.848314 1
4.0%
350485.455219 1
4.0%
348117.600847 1
4.0%
345327.736683 1
4.0%
345104.629075 1
4.0%
343848.961607 1
4.0%
341996.147284 1
4.0%
340453.856361 1
4.0%
339689.28538 1
4.0%

좌표정보(Y)
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263947.7
Minimum249603.91
Maximum272998.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T03:03:20.722838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum249603.91
5-th percentile251499.09
Q1261405.69
median265675.7
Q3268049.18
95-th percentile272282.49
Maximum272998.09
Range23394.179
Interquartile range (IQR)6643.4915

Descriptive statistics

Standard deviation6435.98
Coefficient of variation (CV)0.024383542
Kurtosis0.036706619
Mean263947.7
Median Absolute Deviation (MAD)3134.9277
Skewness-0.88836623
Sum6598692.6
Variance41421838
MonotonicityNot monotonic
2023-12-11T03:03:20.953789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
269841.018673 1
 
4.0%
266840.473431 1
 
4.0%
255544.45201 1
 
4.0%
249603.913215 1
 
4.0%
250734.868575 1
 
4.0%
265400.046131 1
 
4.0%
264040.034795 1
 
4.0%
254602.227205 1
 
4.0%
254556.0 1
 
4.0%
262109.583059 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
249603.913215 1
4.0%
250734.868575 1
4.0%
254556.0 1
4.0%
254602.227205 1
4.0%
255544.45201 1
4.0%
261006.811494 1
4.0%
261405.687893 1
4.0%
262109.583059 1
4.0%
263092.628122 1
4.0%
264040.034795 1
4.0%
ValueCountFrequency (%)
272998.092425 1
4.0%
272892.862308 1
4.0%
269841.018673 1
4.0%
269664.126149 1
4.0%
268810.630389 1
4.0%
268763.26426 1
4.0%
268049.179397 1
4.0%
267541.848883 1
4.0%
267451.979984 1
4.0%
267252.975798 1
4.0%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
축산물보관업
25 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물보관업 25
100.0%

Length

2023-12-11T03:03:21.165951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:03:21.330317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물보관업 25
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

축산일련번호
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
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> 22
88.0%
0 3
 
12.0%

Length

2023-12-11T03:03:21.520899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:03:21.703835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

권리주체일련번호
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
L00
18 
000
7 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
L00 18
72.0%
000 7
 
28.0%

Length

2023-12-11T03:03:21.930046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:03:22.112457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
l00 18
72.0%
000 7
 
28.0%

총종업원수
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
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> 22
88.0%
0 3
 
12.0%

Length

2023-12-11T03:03:22.336671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:03:22.521852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
01축산물보관업07_22_24_P342000034200000072013000120131206<NA>1영업/정상0정상<NA><NA><NA><NA>053-359-36651166.0<NA><NA>대구광역시 동구 팔공로 220-2 (봉무동)41027(주)프랜푸드20131206094227I2018-08-31 23:59:59.0<NA>348117.600847269841.018673축산물보관업<NA><NA>L00<NA>
12축산물보관업07_22_24_P342000034200000072011000120110221<NA>3폐업2폐업20110322<NA><NA><NA>053-384-5878191.8<NA>대구광역시 동구 부동 502-3<NA><NA>남해유통20110322172204I2018-08-31 23:59:59.0<NA>351977.848314266840.473431축산물보관업<NA><NA>000<NA>
23축산물보관업07_22_24_P342000034200000072016000120160407<NA>3폐업2폐업20191213<NA><NA>20191213580-25271047.08<NA>대구광역시 동구 방촌동 1093-1대구광역시 동구 동촌로 260 (방촌동, (주)푸드웰)41163주식회사 푸드웰20191217141725U2019-12-19 02:40:00.0<NA>350485.455219265675.702657축산물보관업<NA><NA>L00<NA>
34축산물보관업07_22_24_P343000034300000072012000120120904<NA>1영업/정상0정상<NA><NA><NA><NA>280-5000891.99<NA>대구광역시 서구 이현동 45-278대구광역시 서구 국채보상로3길 25 (이현동)41754주식회사 프레시원대구경북20210415094806U2021-04-17 02:40:00.0<NA>338350.931931264519.525882축산물보관업<NA><NA>L00<NA>
45축산물보관업07_22_24_P343000034300000072009000120090717<NA>3폐업2폐업20091113<NA><NA><NA>357-5556267.12<NA>대구광역시 서구 비산동 1660대구광역시 서구 서대구로63길 11 (비산동)<NA>동보냉동20091113114649I2018-08-31 23:59:59.0<NA>340453.856361266294.657103축산물보관업<NA><NA>000<NA>
56축산물보관업07_22_24_P345000034500000072007000120070314<NA>1영업/정상0정상<NA><NA><NA><NA>053-383-99083562.0<NA>대구광역시 북구 산격동 724-6대구광역시 북구 신천동로 960 (산격동)<NA>(주)대창냉동20190425095545U2019-04-27 02:40:00.0<NA>343848.961607268049.179397축산물보관업<NA><NA>L00<NA>
67축산물보관업07_22_24_P345000034500000072009000220090626<NA>1영업/정상0정상<NA><NA><NA><NA>313-22721412.78<NA>대구광역시 북구 태전동 647대구광역시 북구 칠곡중앙대로51길 32 (태전동)<NA>주)동원웰푸드20090626110842I2018-08-31 23:59:59.0<NA>339388.690364269664.126149축산물보관업<NA><NA>L00<NA>
78축산물보관업07_22_24_P345000034500000072010000120100520<NA>1영업/정상0정상<NA><NA><NA><NA>031-284-4066409.8<NA>대구광역시 북구 산격동 1608대구광역시 북구 유통단지로7길 42 (산격동)<NA>오뚜기물류서비스(주)20210412170818U2021-04-14 02:40:00.0<NA>345104.629075268810.630389축산물보관업<NA><NA>L00<NA>
89축산물보관업07_22_24_P345000034500000072013000120131113<NA>1영업/정상0정상<NA><NA><NA><NA>05335668881708.0<NA>대구광역시 북구 노원동3가 1044 1,3층대구광역시 북구 노원로 106, 1,3층 (노원동3가)41555롯데제과 주식회사20220117174131U2022-01-19 02:40:00.0<NA>341996.147284267252.975798축산물보관업<NA>0L000
910축산물보관업07_22_24_P345000034500000072014000220140616<NA>1영업/정상0정상<NA><NA><NA><NA>070-4923-5167247.0<NA>대구광역시 북구 팔달동 524-20대구광역시 북구 칠곡중앙대로 21 (팔달동)41483(주)장보고식자재20150701110822I2018-08-31 23:59:59.0<NA>339689.28538267541.848883축산물보관업<NA><NA>L00<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
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1617축산물보관업07_22_24_P347000034700000072018000120180530<NA>1영업/정상0정상<NA><NA><NA><NA>053-566-09808.8<NA>대구광역시 달서구 죽전동 364-12대구광역시 달서구 와룡로57길 48-4 (죽전동)42627그린축산식품20210218194545U2021-02-20 02:40:00.0<NA>338552.897154263092.628122축산물보관업<NA><NA>000<NA>
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