Overview

Dataset statistics

Number of variables33
Number of observations22
Missing cells181
Missing cells (%)24.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory290.8 B

Variable types

Numeric10
Categorical11
Unsupported7
Text4
DateTime1

Dataset

Description6270000_대구광역시_07_22_24_P_축산물보관업_11월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000086708&dataSetDetailId=DDI_0000086755&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
축산업무구분명 has constant value ""Constant
휴업시작일자 is highly imbalanced (73.3%)Imbalance
재개업일자 is highly imbalanced (54.9%)Imbalance
인허가취소일자 has 22 (100.0%) missing valuesMissing
폐업일자 has 14 (63.6%) missing valuesMissing
휴업종료일자 has 22 (100.0%) missing valuesMissing
소재지전화 has 3 (13.6%) missing valuesMissing
소재지우편번호 has 22 (100.0%) missing valuesMissing
소재지전체주소 has 1 (4.5%) missing valuesMissing
도로명전체주소 has 1 (4.5%) missing valuesMissing
도로명우편번호 has 8 (36.4%) missing valuesMissing
업태구분명 has 22 (100.0%) missing valuesMissing
축산물가공업구분명 has 22 (100.0%) missing valuesMissing
축산일련번호 has 22 (100.0%) missing valuesMissing
총종업원수 has 22 (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
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 3 (13.6%) zerosZeros

Reproduction

Analysis started2024-04-21 02:42:30.796840
Analysis finished2024-04-21 02:42:31.417606
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-21T11:42:31.520858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2024-04-21T11:42:31.722257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
축산물보관업
22 

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 22
100.0%

Length

2024-04-21T11:42:31.924677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:42:32.123226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물보관업 22
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
07_22_24_P
22 

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 22
100.0%

Length

2024-04-21T11:42:32.294744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:42:32.475066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_24_p 22
100.0%

개방자치단체코드
Real number (ℝ)

Distinct6
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3452727.3
Minimum3420000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-21T11:42:32.748733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3420000
5-th percentile3420000
Q13450000
median3450000
Q33470000
95-th percentile3480000
Maximum3480000
Range60000
Interquartile range (IQR)20000

Descriptive statistics

Standard deviation19804.237
Coefficient of variation (CV)0.0057358242
Kurtosis-0.81934218
Mean3452727.3
Median Absolute Deviation (MAD)20000
Skewness-0.21468415
Sum75960000
Variance3.9220779 × 108
MonotonicityIncreasing
2024-04-21T11:42:33.104376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3450000 9
40.9%
3480000 4
18.2%
3420000 3
 
13.6%
3470000 3
 
13.6%
3430000 2
 
9.1%
3460000 1
 
4.5%
ValueCountFrequency (%)
3420000 3
 
13.6%
3430000 2
 
9.1%
3450000 9
40.9%
3460000 1
 
4.5%
3470000 3
 
13.6%
3480000 4
18.2%
ValueCountFrequency (%)
3480000 4
18.2%
3470000 3
 
13.6%
3460000 1
 
4.5%
3450000 9
40.9%
3430000 2
 
9.1%
3420000 3
 
13.6%

관리번호
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4527273 × 1017
Minimum3.42 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-21T11:42:33.466872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.42 × 1017
5-th percentile3.42 × 1017
Q13.45 × 1017
median3.45 × 1017
Q33.47 × 1017
95-th percentile3.48 × 1017
Maximum3.48 × 1017
Range6 × 1015
Interquartile range (IQR)2 × 1015

Descriptive statistics

Standard deviation1.9804237 × 1015
Coefficient of variation (CV)0.0057358242
Kurtosis-0.81934218
Mean3.4527273 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.21468415
Sum7.596 × 1018
Variance3.9220779 × 1030
MonotonicityNot monotonic
2024-04-21T11:42:33.855066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
342000000720110001 1
 
4.5%
345000000720090002 1
 
4.5%
348000000720010001 1
 
4.5%
348000000720050001 1
 
4.5%
348000000720200001 1
 
4.5%
348000000720150001 1
 
4.5%
347000000720070001 1
 
4.5%
347000000720180001 1
 
4.5%
347000000719980001 1
 
4.5%
346000000720000001 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
342000000720110001 1
4.5%
342000000720130001 1
4.5%
342000000720160001 1
4.5%
343000000720090001 1
4.5%
343000000720120001 1
4.5%
345000000720070001 1
4.5%
345000000720090001 1
4.5%
345000000720090002 1
4.5%
345000000720100001 1
4.5%
345000000720130001 1
4.5%
ValueCountFrequency (%)
348000000720200001 1
4.5%
348000000720150001 1
4.5%
348000000720050001 1
4.5%
348000000720010001 1
4.5%
347000000720180001 1
4.5%
347000000720070001 1
4.5%
347000000719980001 1
4.5%
346000000720000001 1
4.5%
345000000720160001 1
4.5%
345000000720150001 1
4.5%

인허가일자
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20106115
Minimum19980807
Maximum20201021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-21T11:42:34.236047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980807
5-th percentile20000949
Q120075318
median20115562
Q320148192
95-th percentile20179554
Maximum20201021
Range220214
Interquartile range (IQR)72873.75

Descriptive statistics

Standard deviation58026.524
Coefficient of variation (CV)0.0028860137
Kurtosis-0.085297033
Mean20106115
Median Absolute Deviation (MAD)35248
Skewness-0.64238958
Sum4.4233453 × 108
Variance3.3670774 × 109
MonotonicityNot monotonic
2024-04-21T11:42:34.608804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20110221 1
 
4.5%
20090626 1
 
4.5%
20011105 1
 
4.5%
20050315 1
 
4.5%
20201021 1
 
4.5%
20150904 1
 
4.5%
20070213 1
 
4.5%
20180530 1
 
4.5%
19980807 1
 
4.5%
20000414 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
19980807 1
4.5%
20000414 1
4.5%
20011105 1
4.5%
20050315 1
4.5%
20070213 1
4.5%
20070314 1
4.5%
20090330 1
4.5%
20090626 1
4.5%
20090717 1
4.5%
20100520 1
4.5%
ValueCountFrequency (%)
20201021 1
4.5%
20180530 1
4.5%
20161012 1
4.5%
20160407 1
4.5%
20150904 1
4.5%
20150717 1
4.5%
20140616 1
4.5%
20140515 1
4.5%
20131206 1
4.5%
20131113 1
4.5%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size304.0 B
1
13 
3
8 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 13
59.1%
3 8
36.4%
2 1
 
4.5%

Length

2024-04-21T11:42:34.986809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:42:35.303464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 13
59.1%
3 8
36.4%
2 1
 
4.5%

영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size304.0 B
영업/정상
13 
폐업
8 
휴업
 
1

Length

Max length5
Median length5
Mean length3.7727273
Min length2

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 13
59.1%
폐업 8
36.4%
휴업 1
 
4.5%

Length

2024-04-21T11:42:35.678464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:42:36.016924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 13
59.1%
폐업 8
36.4%
휴업 1
 
4.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
13 
2
8 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 13
59.1%
2 8
36.4%
1 1
 
4.5%

Length

2024-04-21T11:42:36.359949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:42:36.674339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 13
59.1%
2 8
36.4%
1 1
 
4.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size304.0 B
정상
13 
폐업
8 
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
정상 13
59.1%
폐업 8
36.4%
휴업 1
 
4.5%

Length

2024-04-21T11:42:37.011725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:42:37.325587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 13
59.1%
폐업 8
36.4%
휴업 1
 
4.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing14
Missing (%)63.6%
Infinite0
Infinite (%)0.0%
Mean20148293
Minimum20090330
Maximum20191213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-21T11:42:37.636587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090330
5-th percentile20090604
Q120105520
median20165766
Q320183564
95-th percentile20191004
Maximum20191213
Range100883
Interquartile range (IQR)78044.25

Descriptive statistics

Standard deviation44466.05
Coefficient of variation (CV)0.0022069389
Kurtosis-2.0123912
Mean20148293
Median Absolute Deviation (MAD)25148.5
Skewness-0.45938249
Sum1.6118634 × 108
Variance1.9772296 × 109
MonotonicityNot monotonic
2024-04-21T11:42:37.981372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20110322 1
 
4.5%
20191213 1
 
4.5%
20091113 1
 
4.5%
20181213 1
 
4.5%
20190617 1
 
4.5%
20090330 1
 
4.5%
20150905 1
 
4.5%
20180628 1
 
4.5%
(Missing) 14
63.6%
ValueCountFrequency (%)
20090330 1
4.5%
20091113 1
4.5%
20110322 1
4.5%
20150905 1
4.5%
20180628 1
4.5%
20181213 1
4.5%
20190617 1
4.5%
20191213 1
4.5%
ValueCountFrequency (%)
20191213 1
4.5%
20190617 1
4.5%
20181213 1
4.5%
20180628 1
4.5%
20150905 1
4.5%
20110322 1
4.5%
20091113 1
4.5%
20090330 1
4.5%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size304.0 B
<NA>
21 
20200610
 
1

Length

Max length8
Median length4
Mean length4.1818182
Min length4

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
20200610 1
 
4.5%

Length

2024-04-21T11:42:38.381114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:42:38.724517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
20200610 1
 
4.5%

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

재개업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size304.0 B
<NA>
18 
20191213
 
1
20181213
 
1
20190617
 
1
20180628
 
1

Length

Max length8
Median length4
Mean length4.7272727
Min length4

Unique

Unique4 ?
Unique (%)18.2%

Sample

1st row<NA>
2nd row<NA>
3rd row20191213
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
81.8%
20191213 1
 
4.5%
20181213 1
 
4.5%
20190617 1
 
4.5%
20180628 1
 
4.5%

Length

2024-04-21T11:42:39.103510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:42:39.471304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
81.8%
20191213 1
 
4.5%
20181213 1
 
4.5%
20190617 1
 
4.5%
20180628 1
 
4.5%

소재지전화
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing3
Missing (%)13.6%
Memory size304.0 B
2024-04-21T11:42:40.134617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.157895
Min length8

Characters and Unicode

Total characters193
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

Unique19 ?
Unique (%)100.0%

Sample

1st row053-384-5878
2nd row053-359-3665
3rd row580-2527
4th row357-5556
5th row280-5000
ValueCountFrequency (%)
053-384-5878 1
 
5.3%
313-2272 1
 
5.3%
383-4851 1
 
5.3%
053-593-5910 1
 
5.3%
607-5002 1
 
5.3%
053-566-0980 1
 
5.3%
593-2264 1
 
5.3%
795-4253 1
 
5.3%
053-383-9908 1
 
5.3%
0533566888 1
 
5.3%
Other values (9) 9
47.4%
2024-04-21T11:42:41.203888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 32
16.6%
3 30
15.5%
0 29
15.0%
- 25
13.0%
8 17
8.8%
2 13
6.7%
6 11
 
5.7%
9 10
 
5.2%
7 9
 
4.7%
1 9
 
4.7%
Other values (2) 8
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 167
86.5%
Dash Punctuation 25
 
13.0%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 32
19.2%
3 30
18.0%
0 29
17.4%
8 17
10.2%
2 13
7.8%
6 11
 
6.6%
9 10
 
6.0%
7 9
 
5.4%
1 9
 
5.4%
4 7
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 193
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 32
16.6%
3 30
15.5%
0 29
15.0%
- 25
13.0%
8 17
8.8%
2 13
6.7%
6 11
 
5.7%
9 10
 
5.2%
7 9
 
4.7%
1 9
 
4.7%
Other values (2) 8
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 193
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 32
16.6%
3 30
15.5%
0 29
15.0%
- 25
13.0%
8 17
8.8%
2 13
6.7%
6 11
 
5.7%
9 10
 
5.2%
7 9
 
4.7%
1 9
 
4.7%
Other values (2) 8
 
4.1%

소재지면적
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean633.12773
Minimum0
Maximum3562
Zeros3
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-21T11:42:41.562182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1159.34
median338.46
Q3887.3925
95-th percentile1693.239
Maximum3562
Range3562
Interquartile range (IQR)728.0525

Descriptive statistics

Standard deviation819.52128
Coefficient of variation (CV)1.2944012
Kurtosis7.2570998
Mean633.12773
Median Absolute Deviation (MAD)334.06
Skewness2.4141871
Sum13928.81
Variance671615.13
MonotonicityNot monotonic
2024-04-21T11:42:41.941548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 3
 
13.6%
191.8 1
 
4.5%
409.8 1
 
4.5%
440.0 1
 
4.5%
873.6 1
 
4.5%
696.57 1
 
4.5%
431.2 1
 
4.5%
8.8 1
 
4.5%
200.0 1
 
4.5%
3562.0 1
 
4.5%
Other values (10) 10
45.5%
ValueCountFrequency (%)
0.0 3
13.6%
8.8 1
 
4.5%
20.55 1
 
4.5%
148.52 1
 
4.5%
191.8 1
 
4.5%
200.0 1
 
4.5%
206.0 1
 
4.5%
247.0 1
 
4.5%
267.12 1
 
4.5%
409.8 1
 
4.5%
ValueCountFrequency (%)
3562.0 1
4.5%
1708.0 1
4.5%
1412.78 1
4.5%
1166.0 1
4.5%
1047.08 1
4.5%
891.99 1
4.5%
873.6 1
4.5%
696.57 1
4.5%
440.0 1
4.5%
431.2 1
4.5%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

소재지전체주소
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing1
Missing (%)4.5%
Memory size304.0 B
2024-04-21T11:42:42.685806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length22.333333
Min length19

Characters and Unicode

Total characters469
Distinct characters62
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

Unique21 ?
Unique (%)100.0%

Sample

1st row대구광역시 동구 부동 502-3번지
2nd row대구광역시 동구 방촌동 1093-1번지
3rd row대구광역시 서구 비산동 1660번지
4th row대구광역시 서구 이현동 45-278번지
5th row대구광역시 북구 팔달동 524-20번지
ValueCountFrequency (%)
대구광역시 21
23.6%
북구 9
 
10.1%
달성군 4
 
4.5%
달서구 3
 
3.4%
산격동 3
 
3.4%
동구 2
 
2.2%
서구 2
 
2.2%
팔달동 2
 
2.2%
논공읍 2
 
2.2%
706-8번지 1
 
1.1%
Other values (40) 40
44.9%
2024-04-21T11:42:43.869402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
19.0%
구 38
 
8.1%
대 21
 
4.5%
광 21
 
4.5%
역 21
 
4.5%
시 21
 
4.5%
번 20
 
4.3%
지 20
 
4.3%
동 19
 
4.1%
- 15
 
3.2%
Other values (52) 184
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 270
57.6%
Decimal Number 94
 
20.0%
Space Separator 89
 
19.0%
Dash Punctuation 15
 
3.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 38
14.1%
대 21
 
7.8%
광 21
 
7.8%
역 21
 
7.8%
시 21
 
7.8%
번 20
 
7.4%
지 20
 
7.4%
동 19
 
7.0%
북 9
 
3.3%
달 9
 
3.3%
Other values (39) 71
26.3%
Decimal Number
ValueCountFrequency (%)
1 15
16.0%
2 14
14.9%
0 13
13.8%
6 10
10.6%
3 9
9.6%
4 9
9.6%
8 8
8.5%
5 7
7.4%
7 7
7.4%
9 2
 
2.1%
Space Separator
ValueCountFrequency (%)
89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 270
57.6%
Common 199
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 38
14.1%
대 21
 
7.8%
광 21
 
7.8%
역 21
 
7.8%
시 21
 
7.8%
번 20
 
7.4%
지 20
 
7.4%
동 19
 
7.0%
북 9
 
3.3%
달 9
 
3.3%
Other values (39) 71
26.3%
Common
ValueCountFrequency (%)
89
44.7%
- 15
 
7.5%
1 15
 
7.5%
2 14
 
7.0%
0 13
 
6.5%
6 10
 
5.0%
3 9
 
4.5%
4 9
 
4.5%
8 8
 
4.0%
5 7
 
3.5%
Other values (3) 10
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 270
57.6%
ASCII 199
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
44.7%
- 15
 
7.5%
1 15
 
7.5%
2 14
 
7.0%
0 13
 
6.5%
6 10
 
5.0%
3 9
 
4.5%
4 9
 
4.5%
8 8
 
4.0%
5 7
 
3.5%
Other values (3) 10
 
5.0%
Hangul
ValueCountFrequency (%)
구 38
14.1%
대 21
 
7.8%
광 21
 
7.8%
역 21
 
7.8%
시 21
 
7.8%
번 20
 
7.4%
지 20
 
7.4%
동 19
 
7.0%
북 9
 
3.3%
달 9
 
3.3%
Other values (39) 71
26.3%

도로명전체주소
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing1
Missing (%)4.5%
Memory size304.0 B
2024-04-21T11:42:44.706196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length24.809524
Min length20

Characters and Unicode

Total characters521
Distinct characters82
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

Unique21 ?
Unique (%)100.0%

Sample

1st row대구광역시 동구 팔공로 220-2 (봉무동)
2nd row대구광역시 동구 동촌로 260 (방촌동, (주)푸드웰)
3rd row대구광역시 서구 서대구로63길 11 (비산동)
4th row대구광역시 서구 국채보상로3길 25 (이현동)
5th row대구광역시 북구 칠곡중앙대로 21 (팔달동)
ValueCountFrequency (%)
대구광역시 21
 
19.6%
북구 9
 
8.4%
달성군 4
 
3.7%
산격동 3
 
2.8%
달서구 3
 
2.8%
서구 2
 
1.9%
동구 2
 
1.9%
팔달동 2
 
1.9%
논공읍 2
 
1.9%
21 2
 
1.9%
Other values (57) 57
53.3%
2024-04-21T11:42:45.933609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
16.5%
구 39
 
7.5%
대 24
 
4.6%
동 24
 
4.6%
시 22
 
4.2%
로 21
 
4.0%
역 21
 
4.0%
광 21
 
4.0%
( 18
 
3.5%
) 18
 
3.5%
Other values (72) 227
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 318
61.0%
Space Separator 86
 
16.5%
Decimal Number 75
 
14.4%
Open Punctuation 18
 
3.5%
Close Punctuation 18
 
3.5%
Other Punctuation 3
 
0.6%
Dash Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 39
 
12.3%
대 24
 
7.5%
동 24
 
7.5%
시 22
 
6.9%
로 21
 
6.6%
역 21
 
6.6%
광 21
 
6.6%
길 12
 
3.8%
북 10
 
3.1%
달 9
 
2.8%
Other values (57) 115
36.2%
Decimal Number
ValueCountFrequency (%)
2 16
21.3%
1 14
18.7%
3 10
13.3%
6 9
12.0%
4 7
9.3%
0 6
 
8.0%
7 4
 
5.3%
5 4
 
5.3%
9 3
 
4.0%
8 2
 
2.7%
Space Separator
ValueCountFrequency (%)
86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 318
61.0%
Common 203
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 39
 
12.3%
대 24
 
7.5%
동 24
 
7.5%
시 22
 
6.9%
로 21
 
6.6%
역 21
 
6.6%
광 21
 
6.6%
길 12
 
3.8%
북 10
 
3.1%
달 9
 
2.8%
Other values (57) 115
36.2%
Common
ValueCountFrequency (%)
86
42.4%
( 18
 
8.9%
) 18
 
8.9%
2 16
 
7.9%
1 14
 
6.9%
3 10
 
4.9%
6 9
 
4.4%
4 7
 
3.4%
0 6
 
3.0%
7 4
 
2.0%
Other values (5) 15
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 318
61.0%
ASCII 203
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
42.4%
( 18
 
8.9%
) 18
 
8.9%
2 16
 
7.9%
1 14
 
6.9%
3 10
 
4.9%
6 9
 
4.4%
4 7
 
3.4%
0 6
 
3.0%
7 4
 
2.0%
Other values (5) 15
 
7.4%
Hangul
ValueCountFrequency (%)
구 39
 
12.3%
대 24
 
7.5%
동 24
 
7.5%
시 22
 
6.9%
로 21
 
6.6%
역 21
 
6.6%
광 21
 
6.6%
길 12
 
3.8%
북 10
 
3.1%
달 9
 
2.8%
Other values (57) 115
36.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing8
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean41992.571
Minimum41027
Maximum42983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-21T11:42:46.297265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41027
5-th percentile41115.4
Q141484.5
median41654.5
Q342684
95-th percentile42973.25
Maximum42983
Range1956
Interquartile range (IQR)1199.5

Descriptive statistics

Standard deviation719.00452
Coefficient of variation (CV)0.017122184
Kurtosis-1.6789167
Mean41992.571
Median Absolute Deviation (MAD)555
Skewness0.2992332
Sum587896
Variance516967.49
MonotonicityNot monotonic
2024-04-21T11:42:46.681175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
41027 1
 
4.5%
41163 1
 
4.5%
41754 1
 
4.5%
41483 1
 
4.5%
41489 1
 
4.5%
41439 1
 
4.5%
41504 1
 
4.5%
41555 1
 
4.5%
42273 1
 
4.5%
42703 1
 
4.5%
Other values (4) 4
18.2%
(Missing) 8
36.4%
ValueCountFrequency (%)
41027 1
4.5%
41163 1
4.5%
41439 1
4.5%
41483 1
4.5%
41489 1
4.5%
41504 1
4.5%
41555 1
4.5%
41754 1
4.5%
42273 1
4.5%
42627 1
4.5%
ValueCountFrequency (%)
42983 1
4.5%
42968 1
4.5%
42928 1
4.5%
42703 1
4.5%
42627 1
4.5%
42273 1
4.5%
41754 1
4.5%
41555 1
4.5%
41504 1
4.5%
41489 1
4.5%

사업장명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-04-21T11:42:47.359404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length8.5454545
Min length3

Characters and Unicode

Total characters188
Distinct characters79
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

Unique22 ?
Unique (%)100.0%

Sample

1st row남해유통
2nd row(주)프랜푸드
3rd row주식회사 푸드웰
4th row동보냉동
5th row주식회사 프레시원대구경북
ValueCountFrequency (%)
주식회사 5
 
16.1%
남해유통 1
 
3.2%
주)동원웰푸드 1
 
3.2%
디케이냉동산업(주 1
 
3.2%
달구지유통 1
 
3.2%
농업회사법인 1
 
3.2%
달성물류소 1
 
3.2%
주식회사팔도 1
 
3.2%
주)이마트대구물류센터 1
 
3.2%
그린축산식품 1
 
3.2%
Other values (17) 17
54.8%
2024-04-21T11:42:48.631599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 16
 
8.5%
) 10
 
5.3%
9
 
4.8%
사 8
 
4.3%
( 8
 
4.3%
식 8
 
4.3%
회 7
 
3.7%
대 6
 
3.2%
동 5
 
2.7%
유 4
 
2.1%
Other values (69) 107
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 161
85.6%
Close Punctuation 10
 
5.3%
Space Separator 9
 
4.8%
Open Punctuation 8
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 16
 
9.9%
사 8
 
5.0%
식 8
 
5.0%
회 7
 
4.3%
대 6
 
3.7%
동 5
 
3.1%
유 4
 
2.5%
통 4
 
2.5%
이 4
 
2.5%
구 4
 
2.5%
Other values (66) 95
59.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 161
85.6%
Common 27
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 16
 
9.9%
사 8
 
5.0%
식 8
 
5.0%
회 7
 
4.3%
대 6
 
3.7%
동 5
 
3.1%
유 4
 
2.5%
통 4
 
2.5%
이 4
 
2.5%
구 4
 
2.5%
Other values (66) 95
59.0%
Common
ValueCountFrequency (%)
) 10
37.0%
9
33.3%
( 8
29.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 161
85.6%
ASCII 27
 
14.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 16
 
9.9%
사 8
 
5.0%
식 8
 
5.0%
회 7
 
4.3%
대 6
 
3.7%
동 5
 
3.1%
유 4
 
2.5%
통 4
 
2.5%
이 4
 
2.5%
구 4
 
2.5%
Other values (66) 95
59.0%
ASCII
ValueCountFrequency (%)
) 10
37.0%
9
33.3%
( 8
29.6%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0165707 × 1013
Minimum2.0090626 × 1013
Maximum2.0201021 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-21T11:42:49.011363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0090626 × 1013
5-th percentile2.0091118 × 1013
Q12.0150751 × 1013
median2.0180767 × 1013
Q32.019052 × 1013
95-th percentile2.02006 × 1013
Maximum2.0201021 × 1013
Range1.1039499 × 1011
Interquartile range (IQR)3.9768505 × 1010

Descriptive statistics

Standard deviation3.7912123 × 1010
Coefficient of variation (CV)0.0018800294
Kurtosis-0.056972792
Mean2.0165707 × 1013
Median Absolute Deviation (MAD)1.0150481 × 1010
Skewness-1.1807487
Sum4.4364556 × 1014
Variance1.4373291 × 1021
MonotonicityNot monotonic
2024-04-21T11:42:49.338507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20110322172204 1
 
4.5%
20090626110842 1
 
4.5%
20200610111506 1
 
4.5%
20190521130417 1
 
4.5%
20201021105523 1
 
4.5%
20180206112211 1
 
4.5%
20200414170337 1
 
4.5%
20180530095106 1
 
4.5%
20180628170906 1
 
4.5%
20150902152110 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
20090626110842 1
4.5%
20091113114649 1
4.5%
20091203113203 1
4.5%
20110322172204 1
4.5%
20131206094227 1
4.5%
20150701110822 1
4.5%
20150902152110 1
4.5%
20180206112211 1
4.5%
20180227183137 1
4.5%
20180530095106 1
4.5%
ValueCountFrequency (%)
20201021105523 1
4.5%
20200610111506 1
4.5%
20200414170337 1
4.5%
20191217141725 1
4.5%
20190618094830 1
4.5%
20190521130417 1
4.5%
20190516115005 1
4.5%
20190429162936 1
4.5%
20190425095545 1
4.5%
20181214104833 1
4.5%

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size304.0 B
I
12 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 12
54.5%
U 10
45.5%

Length

2024-04-21T11:42:49.553879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:42:49.727221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 12
54.5%
u 10
45.5%

데이터갱신일자
Date

Distinct12
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
Minimum2018-08-31 23:59:59
Maximum2020-10-23 00:23:09
2024-04-21T11:42:49.882052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:42:50.062734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

좌표정보(X)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean340529.05
Minimum327502.97
Maximum355777.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-21T11:42:50.254476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327502.97
5-th percentile329364.02
Q1336512.97
median339553.43
Q3344790.71
95-th percentile351903.23
Maximum355777.38
Range28274.417
Interquartile range (IQR)8277.7451

Descriptive statistics

Standard deviation7065.9006
Coefficient of variation (CV)0.020749774
Kurtosis0.030553351
Mean340529.05
Median Absolute Deviation (MAD)4479.2049
Skewness0.29235135
Sum7491639
Variance49926951
MonotonicityNot monotonic
2024-04-21T11:42:50.448330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
351977.848314 1
 
4.5%
339388.690364 1
 
4.5%
327502.965901 1
 
4.5%
334890.551707 1
 
4.5%
329191.0 1
 
4.5%
332651.312578 1
 
4.5%
333920.60853 1
 
4.5%
338552.897154 1
 
4.5%
335900.31218 1
 
4.5%
355777.383277 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
327502.965901 1
4.5%
329191.0 1
4.5%
332651.312578 1
4.5%
333920.60853 1
4.5%
334890.551707 1
4.5%
335900.31218 1
4.5%
338350.931931 1
4.5%
338552.897154 1
4.5%
339388.690364 1
4.5%
339403.979315 1
4.5%
ValueCountFrequency (%)
355777.383277 1
4.5%
351977.848314 1
4.5%
350485.455219 1
4.5%
348117.600847 1
4.5%
345327.736683 1
4.5%
345104.629075 1
4.5%
343848.961607 1
4.5%
341996.147284 1
4.5%
340453.856361 1
4.5%
339689.28538 1
4.5%

좌표정보(Y)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264688.45
Minimum249603.91
Maximum272998.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-21T11:42:50.649187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum249603.91
5-th percentile250925.93
Q1262355.34
median266567.57
Q3268584.74
95-th percentile272740.27
Maximum272998.09
Range23394.179
Interquartile range (IQR)6229.3987

Descriptive statistics

Standard deviation6256.3902
Coefficient of variation (CV)0.023636809
Kurtosis1.1570214
Mean264688.45
Median Absolute Deviation (MAD)2812.0457
Skewness-1.2102756
Sum5823145.9
Variance39142418
MonotonicityNot monotonic
2024-04-21T11:42:50.846261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
266840.473431 1
 
4.5%
269664.126149 1
 
4.5%
250734.868575 1
 
4.5%
264040.034795 1
 
4.5%
254556.0 1
 
4.5%
249603.913215 1
 
4.5%
261405.687893 1
 
4.5%
263092.628122 1
 
4.5%
262109.583059 1
 
4.5%
261006.811494 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
249603.913215 1
4.5%
250734.868575 1
4.5%
254556.0 1
4.5%
261006.811494 1
4.5%
261405.687893 1
4.5%
262109.583059 1
4.5%
263092.628122 1
4.5%
264040.034795 1
4.5%
264519.525882 1
4.5%
265675.702657 1
4.5%
ValueCountFrequency (%)
272998.092425 1
4.5%
272892.862308 1
4.5%
269841.018673 1
4.5%
269664.126149 1
4.5%
268810.630389 1
4.5%
268763.26426 1
4.5%
268049.179397 1
4.5%
267541.848883 1
4.5%
267451.979984 1
4.5%
267252.975798 1
4.5%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
축산물보관업
22 

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 22
100.0%

Length

2024-04-21T11:42:51.043355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:42:51.210371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물보관업 22
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size304.0 B
L00
17 
000
5 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
L00 17
77.3%
000 5
 
22.7%

Length

2024-04-21T11:42:51.377529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:42:51.551584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
l00 17
77.3%
000 5
 
22.7%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size326.0 B

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
01축산물보관업07_22_24_P342000034200000072011000120110221<NA>3폐업2폐업20110322<NA><NA><NA>053-384-5878191.8<NA>대구광역시 동구 부동 502-3번지<NA><NA>남해유통20110322172204I2018-08-31 23:59:59.0<NA>351977.848314266840.473431축산물보관업<NA><NA>000<NA>
12축산물보관업07_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>
23축산물보관업07_22_24_P342000034200000072016000120160407<NA>3폐업2폐업20191213<NA><NA>20191213580-25271047.08<NA>대구광역시 동구 방촌동 1093-1번지대구광역시 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_P343000034300000072009000120090717<NA>3폐업2폐업20091113<NA><NA><NA>357-5556267.12<NA>대구광역시 서구 비산동 1660번지대구광역시 서구 서대구로63길 11 (비산동)<NA>동보냉동20091113114649I2018-08-31 23:59:59.0<NA>340453.856361266294.657103축산물보관업<NA><NA>000<NA>
45축산물보관업07_22_24_P343000034300000072012000120120904<NA>1영업/정상0정상<NA><NA><NA><NA>280-5000891.99<NA>대구광역시 서구 이현동 45-278번지대구광역시 서구 국채보상로3길 25 (이현동)41754주식회사 프레시원대구경북20190516115005U2019-05-18 02:40:00.0<NA>338350.931931264519.525882축산물보관업<NA><NA>L00<NA>
56축산물보관업07_22_24_P345000034500000072014000220140616<NA>1영업/정상0정상<NA><NA><NA><NA>070-4923-5167247.0<NA>대구광역시 북구 팔달동 524-20번지대구광역시 북구 칠곡중앙대로 21 (팔달동)41483(주)장보고식자재20150701110822I2018-08-31 23:59:59.0<NA>339689.28538267541.848883축산물보관업<NA><NA>L00<NA>
67축산물보관업07_22_24_P345000034500000072016000120161012<NA>3폐업2폐업20181213<NA><NA>20181213053313710020.55<NA>대구광역시 북구 팔달동 88-5번지대구광역시 북구 매천로2길 29 (팔달동)41489대상베스트코(주) 대구지점20181214104833U2018-12-16 02:40:00.0<NA>339460.596398267451.979984축산물보관업<NA><NA>L00<NA>
78축산물보관업07_22_24_P345000034500000072014000120140515<NA>3폐업2폐업20190617<NA><NA>20190617053-324-8298148.52<NA>대구광역시 북구 읍내동 1287번지대구광역시 북구 관음동로32길 22 (읍내동)41439주)티비비씨20190618094830U2019-06-20 02:40:00.0<NA>339646.262242272998.092425축산물보관업<NA><NA>000<NA>
89축산물보관업07_22_24_P345000034500000072009000120090330<NA>3폐업2폐업20090330<NA><NA><NA><NA>0.0<NA>대구광역시 북구 관음동 1233-12번지대구광역시 북구 관음동로31길 6-10 (관음동)<NA>정진유통20091203113203I2018-08-31 23:59:59.0<NA>339403.979315272892.862308축산물보관업<NA><NA>000<NA>
910축산물보관업07_22_24_P345000034500000072015000120150717<NA>1영업/정상0정상<NA><NA><NA><NA>053-381-4051206.0<NA>대구광역시 북구 산격동 1580번지대구광역시 북구 유통단지로13길 8 (산격동)41504삼양사20190429162936U2019-05-01 02:40:00.0<NA>345327.736683268763.26426축산물보관업<NA><NA>L00<NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수
1213축산물보관업07_22_24_P345000034500000072009000220090626<NA>1영업/정상0정상<NA><NA><NA><NA>313-22721412.78<NA>대구광역시 북구 태전동 647번지대구광역시 북구 칠곡중앙대로51길 32 (태전동)<NA>주)동원웰푸드20090626110842I2018-08-31 23:59:59.0<NA>339388.690364269664.126149축산물보관업<NA><NA>L00<NA>
1314축산물보관업07_22_24_P345000034500000072007000120070314<NA>1영업/정상0정상<NA><NA><NA><NA>053-383-99083562.0<NA>대구광역시 북구 산격동 724-6번지대구광역시 북구 신천동로 960 (산격동)<NA>(주)대창냉동20190425095545U2019-04-27 02:40:00.0<NA>343848.961607268049.179397축산물보관업<NA><NA>L00<NA>
1415축산물보관업07_22_24_P346000034600000072000000120000414<NA>3폐업2폐업20150905<NA><NA><NA>795-4253200.0<NA>대구광역시 수성구 사월동 626-2번지대구광역시 수성구 성동로 21 (사월동)42273주식회사 팔도20150902152110I2018-08-31 23:59:59.0<NA>355777.383277261006.811494축산물보관업<NA><NA>L00<NA>
1516축산물보관업07_22_24_P347000034700000071998000119980807<NA>3폐업2폐업20180628<NA><NA>20180628593-22640.0<NA>대구광역시 달서구 이곡동 1000-30번지대구광역시 달서구 성서로71길 16 (이곡동)42703(주)디케이코리아 이곡지점20180628170906I2018-08-31 23:59:59.0<NA>335900.31218262109.583059축산물보관업<NA><NA>L00<NA>
1617축산물보관업07_22_24_P347000034700000072018000120180530<NA>1영업/정상0정상<NA><NA><NA><NA>053-566-09808.8<NA>대구광역시 달서구 죽전동 364-12번지대구광역시 달서구 와룡로57길 48-4 (죽전동)42627그린축산식품20180530095106I2018-08-31 23:59:59.0<NA>338552.897154263092.628122축산물보관업<NA><NA>000<NA>
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