Overview

Dataset statistics

Number of variables33
Number of observations521
Missing cells3201
Missing cells (%)18.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory140.6 KiB
Average record size in memory276.2 B

Variable types

Numeric6
Categorical25
Unsupported2

Dataset

Description23년06월_6270000_대구광역시_07_22_05_P_축산가공업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098694&dataSetDetailId=DDI_0000098735&provdMethod=FILE

Alerts

개방서비스명 has constant value "축산가공업"Constant
개방서비스아이디 has constant value "07_22_05_P"Constant
축산업무구분명 has constant value "축산물가공업"Constant
인허가일자 has a high cardinality: 413 distinct valuesHigh cardinality
폐업일자 has a high cardinality: 215 distinct valuesHigh cardinality
소재지전화 has a high cardinality: 318 distinct valuesHigh cardinality
소재지우편번호 has a high cardinality: 104 distinct valuesHigh cardinality
소재지전체주소 has a high cardinality: 360 distinct valuesHigh cardinality
도로명전체주소 has a high cardinality: 462 distinct valuesHigh cardinality
도로명우편번호 has a high cardinality: 158 distinct valuesHigh cardinality
사업장명 has a high cardinality: 495 distinct valuesHigh cardinality
최종수정시점 has a high cardinality: 521 distinct valuesHigh cardinality
데이터갱신일자 has a high cardinality: 241 distinct valuesHigh cardinality
개방자치단체코드 is highly imbalanced (85.0%)Imbalance
업태구분명 is highly imbalanced (78.8%)Imbalance
축산물가공업구분명 is highly imbalanced (78.8%)Imbalance
인허가취소일자 has 521 (100.0%) missing valuesMissing
폐업일자 has 247 (47.4%) missing valuesMissing
휴업시작일자 has 507 (97.3%) missing valuesMissing
휴업종료일자 has 509 (97.7%) missing valuesMissing
재개업일자 has 521 (100.0%) missing valuesMissing
소재지전화 has 187 (35.9%) missing valuesMissing
소재지면적 has 35 (6.7%) missing valuesMissing
소재지우편번호 has 373 (71.6%) missing valuesMissing
도로명전체주소 has 18 (3.5%) missing valuesMissing
도로명우편번호 has 215 (41.3%) missing valuesMissing
좌표정보(X) has 22 (4.2%) missing valuesMissing
좌표정보(Y) has 22 (4.2%) missing valuesMissing
총직원수 has 24 (4.6%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 20.87905095)Skewed
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
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 166 (31.9%) zerosZeros
총직원수 has 387 (74.3%) zerosZeros

Reproduction

Analysis started2023-07-15 13:22:15.741547
Analysis finished2023-07-15 13:22:16.449685
Duration0.71 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

번호
Real number (ℝ)

Distinct521
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean261
Minimum1
Maximum521
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-07-15T22:22:16.561909image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27
Q1131
median261
Q3391
95-th percentile495
Maximum521
Range520
Interquartile range (IQR)260

Descriptive statistics

Standard deviation150.54401
Coefficient of variation (CV)0.57679699
Kurtosis-1.2
Mean261
Median Absolute Deviation (MAD)130
Skewness0
Sum135981
Variance22663.5
MonotonicityStrictly increasing
2023-07-15T22:22:16.848306image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
32 1
 
0.2%
4 1
 
0.2%
5 1
 
0.2%
6 1
 
0.2%
7 1
 
0.2%
8 1
 
0.2%
9 1
 
0.2%
10 1
 
0.2%
11 1
 
0.2%
Other values (511) 511
98.1%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
521 1
0.2%
520 1
0.2%
519 1
0.2%
518 1
0.2%
517 1
0.2%
516 1
0.2%
515 1
0.2%
514 1
0.2%
513 1
0.2%
512 1
0.2%
Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
축산가공업
521 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산가공업 521
100.0%

Length

2023-07-15T22:22:17.092601image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:17.343822image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
축산가공업 521
100.0%
Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
07_22_05_P
521 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_05_P
2nd row07_22_05_P
3rd row07_22_05_P
4th row07_22_05_P
5th row07_22_05_P

Common Values

ValueCountFrequency (%)
07_22_05_P 521
100.0%

Length

2023-07-15T22:22:17.522814image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:17.763247image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
07_22_05_p 521
100.0%
Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
6270000
497 
3480000
 
10
3420000
 
8
3460000
 
5
3470000
 
1

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row3420000
2nd row3420000
3rd row3420000
4th row3420000
5th row3420000

Common Values

ValueCountFrequency (%)
6270000 497
95.4%
3480000 10
 
1.9%
3420000 8
 
1.5%
3460000 5
 
1.0%
3470000 1
 
0.2%

Length

2023-07-15T22:22:17.933674image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:18.184874image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
6270000 497
95.4%
3480000 10
 
1.9%
3420000 8
 
1.5%
3460000 5
 
1.0%
3470000 1
 
0.2%

관리번호
Real number (ℝ)

Distinct521
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2125434 × 1016
Minimum3.42 × 1017
Maximum6.27 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-07-15T22:22:18.410729image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.42 × 1017
5-th percentile6.27 × 1017
Q16.27 × 1017
median6.27 × 1017
Q36.27 × 1017
95-th percentile6.27 × 1017
Maximum6.27 × 1017
Range2.85 × 1017
Interquartile range (IQR)89984

Descriptive statistics

Standard deviation5.9060487 × 1016
Coefficient of variation (CV)4.8707938
Kurtosis16.937927
Mean1.2125434 × 1016
Median Absolute Deviation (MAD)40064
Skewness-4.3440573
Sum6.317351 × 1018
Variance3.4881411 × 1033
MonotonicityNot monotonic
2023-07-15T22:22:18.675738image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342000000420030016 1
 
0.2%
627000000420189952 1
 
0.2%
342000000420020032 1
 
0.2%
342000000420020032 1
 
0.2%
342000000420000000 1
 
0.2%
342000000419990016 1
 
0.2%
342000000420000000 1
 
0.2%
346000000420000000 1
 
0.2%
346000000420030016 1
 
0.2%
346000000420030016 1
 
0.2%
Other values (511) 511
98.1%
ValueCountFrequency (%)
342000000419990016 1
0.2%
342000000420000000 1
0.2%
342000000420000000 1
0.2%
342000000420020032 1
0.2%
342000000420020032 1
0.2%
342000000420030016 1
0.2%
342000000420030016 1
0.2%
342000000420030016 1
0.2%
346000000419980032 1
0.2%
346000000420000000 1
0.2%
ValueCountFrequency (%)
627000000420230016 1
0.2%
627000000420230016 1
0.2%
627000000420230016 1
0.2%
627000000420230016 1
0.2%
627000000420230016 1
0.2%
627000000420230016 1
0.2%
627000000420230016 1
0.2%
627000000420220032 1
0.2%
627000000420220032 1
0.2%
627000000420220032 1
0.2%

인허가일자
Categorical

Distinct413
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2013-10-29
 
12
2013-11-01
 
9
2017-01-17
 
5
2013-10-30
 
4
2014-01-29
 
4
Other values (408)
487 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique338 ?
Unique (%)64.9%

Sample

1st row2003-02-25
2nd row2003-12-08
3rd row2003-07-15
4th row2002-04-22
5th row2002-03-19

Common Values

ValueCountFrequency (%)
2013-10-29 12
 
2.3%
2013-11-01 9
 
1.7%
2017-01-17 5
 
1.0%
2013-10-30 4
 
0.8%
2014-01-29 4
 
0.8%
2012-08-14 3
 
0.6%
2013-07-09 3
 
0.6%
2013-12-12 3
 
0.6%
2006-12-01 3
 
0.6%
2014-04-22 3
 
0.6%
Other values (403) 472
90.6%

Length

2023-07-15T22:22:18.966953image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2013-10-29 12
 
2.3%
2013-11-01 9
 
1.7%
2017-01-17 5
 
1.0%
2014-01-29 4
 
0.8%
2013-10-30 4
 
0.8%
2014-04-22 3
 
0.6%
2013-05-22 3
 
0.6%
2013-11-11 3
 
0.6%
2006-08-11 3
 
0.6%
2013-10-12 3
 
0.6%
Other values (403) 472
90.6%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing521
Missing (%)100.0%
Memory size4.7 KiB
Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
3
251 
1
238 
4
 
24
2
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 251
48.2%
1 238
45.7%
4 24
 
4.6%
2 8
 
1.5%

Length

2023-07-15T22:22:19.281948image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:19.576056image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
3 251
48.2%
1 238
45.7%
4 24
 
4.6%
2 8
 
1.5%

영업상태명
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
폐업
251 
영업/정상
238 
취소/말소/만료/정지/중지
 
24
휴업
 
8

Length

Max length14
Median length5
Mean length3.9232246
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 251
48.2%
영업/정상 238
45.7%
취소/말소/만료/정지/중지 24
 
4.6%
휴업 8
 
1.5%

Length

2023-07-15T22:22:19.854102image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:20.118519image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
폐업 251
48.2%
영업/정상 238
45.7%
취소/말소/만료/정지/중지 24
 
4.6%
휴업 8
 
1.5%
Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2
251 
0
238 
4
 
22
1
 
8
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 251
48.2%
0 238
45.7%
4 22
 
4.2%
1 8
 
1.5%
3 2
 
0.4%

Length

2023-07-15T22:22:20.309389image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:20.573330image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
2 251
48.2%
0 238
45.7%
4 22
 
4.2%
1 8
 
1.5%
3 2
 
0.4%
Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
폐업
251 
정상
238 
말소
 
22
휴업
 
8
인허가취소
 
2

Length

Max length5
Median length2
Mean length2.0115163
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 251
48.2%
정상 238
45.7%
말소 22
 
4.2%
휴업 8
 
1.5%
인허가취소 2
 
0.4%

Length

2023-07-15T22:22:20.776711image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:21.284720image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
폐업 251
48.2%
정상 238
45.7%
말소 22
 
4.2%
휴업 8
 
1.5%
인허가취소 2
 
0.4%

폐업일자
Categorical

HIGH CARDINALITY  MISSING 

Distinct215
Distinct (%)78.5%
Missing247
Missing (%)47.4%
Memory size4.2 KiB
2019-08-01
 
10
2022-02-25
 
6
2021-05-10
 
5
2014-12-31
 
4
2000-01-18
 
3
Other values (210)
246 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique180 ?
Unique (%)65.7%

Sample

1st row2019-08-01
2nd row2019-08-01
3rd row2019-08-01
4th row2019-08-01
5th row2019-08-01

Common Values

ValueCountFrequency (%)
2019-08-01 10
 
1.9%
2022-02-25 6
 
1.2%
2021-05-10 5
 
1.0%
2014-12-31 4
 
0.8%
2000-01-18 3
 
0.6%
2021-12-21 3
 
0.6%
2019-05-29 3
 
0.6%
2019-07-29 3
 
0.6%
2022-11-29 3
 
0.6%
2022-11-30 3
 
0.6%
Other values (205) 231
44.3%
(Missing) 247
47.4%

Length

2023-07-15T22:22:21.483303image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019-08-01 10
 
3.6%
2022-02-25 6
 
2.2%
2021-05-10 5
 
1.8%
2014-12-31 4
 
1.5%
2000-01-18 3
 
1.1%
2021-12-21 3
 
1.1%
2019-05-29 3
 
1.1%
2019-07-29 3
 
1.1%
2022-11-29 3
 
1.1%
2022-11-30 3
 
1.1%
Other values (205) 231
84.3%
Distinct12
Distinct (%)85.7%
Missing507
Missing (%)97.3%
Memory size4.2 KiB
2022-12-01
2023-01-06
2002-06-01
2016-12-14
2022-08-26
Other values (7)

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique10 ?
Unique (%)71.4%

Sample

1st row2002-06-01
2nd row2016-12-14
3rd row2022-12-01
4th row2023-01-06
5th row2022-08-26

Common Values

ValueCountFrequency (%)
2022-12-01 2
 
0.4%
2023-01-06 2
 
0.4%
2002-06-01 1
 
0.2%
2016-12-14 1
 
0.2%
2022-08-26 1
 
0.2%
2021-07-15 1
 
0.2%
2023-06-19 1
 
0.2%
2016-06-29 1
 
0.2%
2020-09-08 1
 
0.2%
2017-04-28 1
 
0.2%
Other values (2) 2
 
0.4%
(Missing) 507
97.3%

Length

2023-07-15T22:22:21.724146image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-12-01 2
14.3%
2023-01-06 2
14.3%
2002-06-01 1
7.1%
2016-12-14 1
7.1%
2022-08-26 1
7.1%
2021-07-15 1
7.1%
2023-06-19 1
7.1%
2016-06-29 1
7.1%
2020-09-08 1
7.1%
2017-04-28 1
7.1%
Other values (2) 2
14.3%
Distinct11
Distinct (%)91.7%
Missing509
Missing (%)97.7%
Memory size4.2 KiB
2023-12-31
2017-02-22
2023-12-30
2023-08-26
2022-07-31
Other values (6)

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique10 ?
Unique (%)83.3%

Sample

1st row2017-02-22
2nd row2023-12-30
3rd row2023-12-31
4th row2023-08-26
5th row2023-12-31

Common Values

ValueCountFrequency (%)
2023-12-31 2
 
0.4%
2017-02-22 1
 
0.2%
2023-12-30 1
 
0.2%
2023-08-26 1
 
0.2%
2022-07-31 1
 
0.2%
2024-07-01 1
 
0.2%
2024-06-24 1
 
0.2%
2010-08-17 1
 
0.2%
2016-12-31 1
 
0.2%
2020-12-31 1
 
0.2%
(Missing) 509
97.7%

Length

2023-07-15T22:22:22.050195image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-12-31 2
16.7%
2017-02-22 1
8.3%
2023-12-30 1
8.3%
2023-08-26 1
8.3%
2022-07-31 1
8.3%
2024-07-01 1
8.3%
2024-06-24 1
8.3%
2010-08-17 1
8.3%
2016-12-31 1
8.3%
2020-12-31 1
8.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing521
Missing (%)100.0%
Memory size4.7 KiB

소재지전화
Categorical

HIGH CARDINALITY  MISSING 

Distinct318
Distinct (%)95.2%
Missing187
Missing (%)35.9%
Memory size4.2 KiB
0535259326
 
3
0535921313
 
2
0535935910
 
2
0536359420
 
2
0535220551
 
2
Other values (313)
323 

Length

Max length11
Median length10
Mean length9.9491018
Min length8

Unique

Unique303 ?
Unique (%)90.7%

Sample

1st row963-0237
2nd row984-1100
3rd row982-1253
4th row941-4182
5th row964-5589

Common Values

ValueCountFrequency (%)
0535259326 3
 
0.6%
0535921313 2
 
0.4%
0535935910 2
 
0.4%
0536359420 2
 
0.4%
0535220551 2
 
0.4%
0533811241 2
 
0.4%
0539512868 2
 
0.4%
0536388988 2
 
0.4%
0539615522 2
 
0.4%
0535721543 2
 
0.4%
Other values (308) 313
60.1%
(Missing) 187
35.9%

Length

2023-07-15T22:22:22.372246image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0535259326 3
 
0.9%
0539615522 2
 
0.6%
0535921313 2
 
0.6%
0533419214 2
 
0.6%
0533252259 2
 
0.6%
0535582345 2
 
0.6%
0535883900 2
 
0.6%
0535721543 2
 
0.6%
0537460092 2
 
0.6%
0536388988 2
 
0.6%
Other values (308) 313
93.7%

소재지면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct304
Distinct (%)62.6%
Missing35
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean447.73837
Minimum0
Maximum96848
Zeros166
Zeros (%)31.9%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-07-15T22:22:22.651960image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median98.955
Q3249.735
95-th percentile684.6325
Maximum96848
Range96848
Interquartile range (IQR)249.735

Descriptive statistics

Standard deviation4467.2403
Coefficient of variation (CV)9.9773451
Kurtosis449.83481
Mean447.73837
Median Absolute Deviation (MAD)98.955
Skewness20.879051
Sum217600.85
Variance19956236
MonotonicityNot monotonic
2023-07-15T22:22:22.957843image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 166
31.9%
81.0 3
 
0.6%
100.0 3
 
0.6%
294.0 2
 
0.4%
401.94 2
 
0.4%
76.0 2
 
0.4%
178.0 2
 
0.4%
360.0 2
 
0.4%
160.0 2
 
0.4%
181.0 2
 
0.4%
Other values (294) 300
57.6%
(Missing) 35
 
6.7%
ValueCountFrequency (%)
0.0 166
31.9%
4.4 1
 
0.2%
18.85 1
 
0.2%
19.41 1
 
0.2%
21.5 1
 
0.2%
29.7 1
 
0.2%
40.0 1
 
0.2%
47.65 1
 
0.2%
50.0 1
 
0.2%
50.76 1
 
0.2%
ValueCountFrequency (%)
96848.0 1
0.2%
12589.9 1
0.2%
9783.99 1
0.2%
8649.25 1
0.2%
3842.0 1
0.2%
2100.0 1
0.2%
1903.42 1
0.2%
1887.68 1
0.2%
1850.0 1
0.2%
1643.0 1
0.2%

소재지우편번호
Categorical

HIGH CARDINALITY  MISSING 

Distinct104
Distinct (%)70.3%
Missing373
Missing (%)71.6%
Memory size4.2 KiB
703-833
 
7
703-830
 
5
702-815
 
4
701-140
 
4
704-900
 
4
Other values (99)
124 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique78 ?
Unique (%)52.7%

Sample

1st row711-855
2nd row702-803
3rd row702-814
4th row701-140
5th row704-900

Common Values

ValueCountFrequency (%)
703-833 7
 
1.3%
703-830 5
 
1.0%
702-815 4
 
0.8%
701-140 4
 
0.8%
704-900 4
 
0.8%
702-030 4
 
0.8%
702-210 3
 
0.6%
702-290 3
 
0.6%
711-833 2
 
0.4%
702-220 2
 
0.4%
Other values (94) 110
 
21.1%
(Missing) 373
71.6%

Length

2023-07-15T22:22:23.216033image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
703-833 7
 
4.7%
703-830 5
 
3.4%
702-815 4
 
2.7%
701-140 4
 
2.7%
704-900 4
 
2.7%
702-030 4
 
2.7%
702-210 3
 
2.0%
702-290 3
 
2.0%
703-110 2
 
1.4%
711-836 2
 
1.4%
Other values (94) 110
74.3%
Distinct360
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
131 
대구광역시 북구 산격동 706번지 1호
 
3
대구광역시 달서구 송현동 1976번지 11호
 
3
대구광역시 서구 중리동 1024번지 2호
 
3
대구광역시 달서구 진천동 723번지 5호
 
3
Other values (355)
378 

Length

Max length46
Median length38
Mean length18.585413
Min length1

Unique

Unique332 ?
Unique (%)63.7%

Sample

1st row대구광역시 동구 신서동 625-6 번지
2nd row대구광역시 동구 지저동 736-1 번지
3rd row대구광역시 동구 도동 8-1 번지
4th row대구광역시 동구 신암동 95-76 번지
5th row대구광역시 동구 용계동 878-55 번지

Common Values

ValueCountFrequency (%)
131
 
25.1%
대구광역시 북구 산격동 706번지 1호 3
 
0.6%
대구광역시 달서구 송현동 1976번지 11호 3
 
0.6%
대구광역시 서구 중리동 1024번지 2호 3
 
0.6%
대구광역시 달서구 진천동 723번지 5호 3
 
0.6%
대구광역시 달성군 화원읍 성산리 26번지 1호 2
 
0.4%
대구광역시 동구 서호동 157번지 3호 2
 
0.4%
대구광역시 남구 대명동 1089번지 6호 2
 
0.4%
대구광역시 북구 검단동 1227번지 1호 2
 
0.4%
대구광역시 서구 이현동 42번지 47호 2
 
0.4%
Other values (350) 368
70.6%

Length

2023-07-15T22:22:23.502552image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 385
 
19.2%
북구 110
 
5.5%
달성군 82
 
4.1%
동구 67
 
3.3%
1호 52
 
2.6%
달서구 47
 
2.3%
서구 43
 
2.1%
0호 40
 
2.0%
2호 29
 
1.4%
3호 28
 
1.4%
Other values (522) 1120
55.9%

도로명전체주소
Categorical

HIGH CARDINALITY  MISSING 

Distinct462
Distinct (%)91.8%
Missing18
Missing (%)3.5%
Memory size4.2 KiB
대구광역시 서구 국채보상로6길 12-7 (중리동)
 
3
대구광역시 북구 대불로 41-12 (산격동)
 
3
대구광역시 북구 노원로 253 (침산동)
 
2
대구광역시 달서구 성서공단로50길 21 (월암동)
 
2
대구광역시 달서구 달서대로88길 8-7 (갈산동)
 
2
Other values (457)
491 

Length

Max length49
Median length40
Mean length24.924453
Min length19

Unique

Unique423 ?
Unique (%)84.1%

Sample

1st row대구광역시 수성구 만촌로1길 39 (만촌동)
2nd row대구광역시 달서구 용산큰못1길 60 (용산동)
3rd row대구광역시 달성군 옥포읍 반송3길 3
4th row대구광역시 달성군 화원읍 비슬로485길 50
5th row대구광역시 달성군 옥포읍 비슬로 2312-16

Common Values

ValueCountFrequency (%)
대구광역시 서구 국채보상로6길 12-7 (중리동) 3
 
0.6%
대구광역시 북구 대불로 41-12 (산격동) 3
 
0.6%
대구광역시 북구 노원로 253 (침산동) 2
 
0.4%
대구광역시 달서구 성서공단로50길 21 (월암동) 2
 
0.4%
대구광역시 달서구 달서대로88길 8-7 (갈산동) 2
 
0.4%
대구광역시 달서구 용산큰못1길 60 (용산동) 2
 
0.4%
대구광역시 동구 반야월로14길 15 (율하동) 2
 
0.4%
대구광역시 북구 장태실2길 17-20 (팔달동) 2
 
0.4%
대구광역시 달서구 성서로71길 16 (이곡동) 2
 
0.4%
대구광역시 달성군 논공읍 논공중앙로 350 2
 
0.4%
Other values (452) 481
92.3%
(Missing) 18
 
3.5%

Length

2023-07-15T22:22:23.805244image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 503
 
19.8%
북구 157
 
6.2%
달성군 98
 
3.9%
달서구 71
 
2.8%
동구 69
 
2.7%
서구 62
 
2.4%
논공읍 25
 
1.0%
수성구 24
 
0.9%
다사읍 21
 
0.8%
노원동3가 19
 
0.7%
Other values (769) 1491
58.7%

도로명우편번호
Categorical

HIGH CARDINALITY  MISSING 

Distinct158
Distinct (%)51.6%
Missing215
Missing (%)41.3%
Memory size4.2 KiB
703-833
 
13
703-830
 
12
704-900
 
8
702-815
 
7
701-140
 
7
Other values (153)
259 

Length

Max length7
Median length7
Mean length6.9934641
Min length5

Unique

Unique96 ?
Unique (%)31.4%

Sample

1st row42624
2nd row706-829
3rd row711-855
4th row702-803
5th row704-837

Common Values

ValueCountFrequency (%)
703-833 13
 
2.5%
703-830 12
 
2.3%
704-900 8
 
1.5%
702-815 7
 
1.3%
701-140 7
 
1.3%
702-872 7
 
1.3%
703-100 6
 
1.2%
702-903 6
 
1.2%
702-834 5
 
1.0%
702-800 5
 
1.0%
Other values (148) 230
44.1%
(Missing) 215
41.3%

Length

2023-07-15T22:22:24.314296image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
703-833 13
 
4.2%
703-830 12
 
3.9%
704-900 8
 
2.6%
702-815 7
 
2.3%
701-140 7
 
2.3%
702-872 7
 
2.3%
703-100 6
 
2.0%
702-903 6
 
2.0%
702-834 5
 
1.6%
702-800 5
 
1.6%
Other values (148) 230
75.2%

사업장명
Categorical

Distinct495
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
(주)국보푸드시스템
 
3
세영종합식품
 
3
(주)영남우유
 
2
에이스식품
 
2
(주)도야지식품
 
2
Other values (490)
509 

Length

Max length21
Median length19
Mean length6.1669866
Min length2

Unique

Unique471 ?
Unique (%)90.4%

Sample

1st row(주)정성원종합식품
2nd row세영종합식품
3rd row푸드팜
4th row대구유통
5th row부성종합식품

Common Values

ValueCountFrequency (%)
(주)국보푸드시스템 3
 
0.6%
세영종합식품 3
 
0.6%
(주)영남우유 2
 
0.4%
에이스식품 2
 
0.4%
(주)도야지식품 2
 
0.4%
(주)진우식품 율암지점 2
 
0.4%
농업회사법인 주식회사 피밀리 2
 
0.4%
(주)춘광냉동종합식품 2
 
0.4%
(주)청담원 2
 
0.4%
대구유통 2
 
0.4%
Other values (485) 499
95.8%

Length

2023-07-15T22:22:25.116325image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주식회사 30
 
5.1%
농업회사법인 10
 
1.7%
주)진우식품 3
 
0.5%
주)국보푸드시스템 3
 
0.5%
세영종합식품 3
 
0.5%
대영식품 2
 
0.3%
food 2
 
0.3%
세이브 2
 
0.3%
은성유통 2
 
0.3%
주)비락 2
 
0.3%
Other values (504) 526
89.9%

최종수정시점
Categorical

HIGH CARDINALITY  UNIQUE 

Distinct521
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2004-03-09 11:35:17
 
1
2022-09-16 11:08:54
 
1
2004-03-08 15:10:33
 
1
2004-03-08 14:52:00
 
1
2004-03-08 15:46:39
 
1
Other values (516)
516 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique521 ?
Unique (%)100.0%

Sample

1st row2004-03-09 11:35:17
2nd row2004-03-08 15:35:20
3rd row2004-03-08 15:30:14
4th row2004-03-08 15:10:33
5th row2004-03-08 14:52:00

Common Values

ValueCountFrequency (%)
2004-03-09 11:35:17 1
 
0.2%
2022-09-16 11:08:54 1
 
0.2%
2004-03-08 15:10:33 1
 
0.2%
2004-03-08 14:52:00 1
 
0.2%
2004-03-08 15:46:39 1
 
0.2%
2004-03-08 13:12:15 1
 
0.2%
2004-03-09 10:34:12 1
 
0.2%
2004-03-19 08:54:20 1
 
0.2%
2004-03-19 08:59:39 1
 
0.2%
2004-03-19 08:58:00 1
 
0.2%
Other values (511) 511
98.1%

Length

2023-07-15T22:22:25.776446image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2016-01-08 13
 
1.2%
2007-04-30 12
 
1.2%
2020-04-09 10
 
1.0%
2019-08-01 10
 
1.0%
2022-02-25 8
 
0.8%
2004-03-08 6
 
0.6%
2022-11-30 5
 
0.5%
2016-02-29 4
 
0.4%
2019-08-13 4
 
0.4%
2022-11-29 4
 
0.4%
Other values (884) 966
92.7%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
U
309 
I
212 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 309
59.3%
I 212
40.7%

Length

2023-07-15T22:22:26.026232image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:26.284568image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
u 309
59.3%
i 212
40.7%
Distinct241
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2018-10-04 11:12:49
150 
2023-05-26 08:48:36
40 
2018-08-31 23:59:59
 
14
2019-08-03 02:40:00
 
10
2020-04-11 02:40:00
 
10
Other values (236)
297 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique194 ?
Unique (%)37.2%

Sample

1st row2018-08-31 23:59:59
2nd row2018-08-31 23:59:59
3rd row2018-08-31 23:59:59
4th row2018-08-31 23:59:59
5th row2018-08-31 23:59:59

Common Values

ValueCountFrequency (%)
2018-10-04 11:12:49 150
28.8%
2023-05-26 08:48:36 40
 
7.7%
2018-08-31 23:59:59 14
 
2.7%
2019-08-03 02:40:00 10
 
1.9%
2020-04-11 02:40:00 10
 
1.9%
2022-02-27 02:40:00 8
 
1.5%
2019-08-15 02:40:00 4
 
0.8%
2020-01-10 02:40:00 4
 
0.8%
2019-08-21 02:40:00 4
 
0.8%
2021-12-22 02:40:00 3
 
0.6%
Other values (231) 274
52.6%

Length

2023-07-15T22:22:26.513070image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:40:00 270
25.9%
2018-10-04 150
14.4%
11:12:49 150
14.4%
08:48:36 40
 
3.8%
2023-05-26 40
 
3.8%
23:59:59 14
 
1.3%
2018-08-31 14
 
1.3%
2019-08-03 10
 
1.0%
2020-04-11 10
 
1.0%
2022-02-27 8
 
0.8%
Other values (271) 336
32.2%

업태구분명
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
식육가공업
495 
유가공업
 
14
알가공업
 
12

Length

Max length5
Median length5
Mean length4.950096
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식육가공업
2nd row식육가공업
3rd row식육가공업
4th row알가공업
5th row식육가공업

Common Values

ValueCountFrequency (%)
식육가공업 495
95.0%
유가공업 14
 
2.7%
알가공업 12
 
2.3%

Length

2023-07-15T22:22:26.792248image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:27.049773image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 495
95.0%
유가공업 14
 
2.7%
알가공업 12
 
2.3%

좌표정보(X)
Real number (ℝ)

Distinct440
Distinct (%)88.2%
Missing22
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean341033.47
Minimum326032.48
Maximum358511.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-07-15T22:22:27.288795image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum326032.48
5-th percentile330491.21
Q1337298.59
median340349.01
Q3344915.86
95-th percentile353141.42
Maximum358511.63
Range32479.149
Interquartile range (IQR)7617.2659

Descriptive statistics

Standard deviation6412.7863
Coefficient of variation (CV)0.01880398
Kurtosis-0.21768387
Mean341033.47
Median Absolute Deviation (MAD)4151.1319
Skewness0.28745323
Sum1.701757 × 108
Variance41123829
MonotonicityNot monotonic
2023-07-15T22:22:27.603110image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336398.016152883 4
 
0.8%
338448.856662651 3
 
0.6%
345549.639708693 3
 
0.6%
344106.005223133 3
 
0.6%
345440.217334515 3
 
0.6%
344595.865563025 3
 
0.6%
340349.011621454 3
 
0.6%
337298.590886867 3
 
0.6%
340465.502742662 3
 
0.6%
338883.885936239 2
 
0.4%
Other values (430) 469
90.0%
(Missing) 22
 
4.2%
ValueCountFrequency (%)
326032.481594907 1
0.2%
327486.570257858 2
0.4%
327605.063942283 1
0.2%
328123.78046325 1
0.2%
328237.006988233 1
0.2%
328396.070218833 1
0.2%
328747.35689848 1
0.2%
328766.412492626 1
0.2%
329001.868578366 1
0.2%
329081.425720929 1
0.2%
ValueCountFrequency (%)
358511.630306193 1
0.2%
356477.570167987 1
0.2%
356472.230524899 1
0.2%
356305.740016978 1
0.2%
355759.732189789 1
0.2%
355513.721108473 1
0.2%
355254.243981969 1
0.2%
355064.824016876 1
0.2%
354955.161770617 1
0.2%
354561.486965292 2
0.4%

좌표정보(Y)
Real number (ℝ)

Distinct440
Distinct (%)88.2%
Missing22
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean263636.34
Minimum238824.51
Maximum274637.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-07-15T22:22:27.938278image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum238824.51
5-th percentile250579.59
Q1260672.61
median265111.85
Q3267473.14
95-th percentile271920.83
Maximum274637.22
Range35812.709
Interquartile range (IQR)6800.5344

Descriptive statistics

Standard deviation6181.7417
Coefficient of variation (CV)0.023447988
Kurtosis2.0951621
Mean263636.34
Median Absolute Deviation (MAD)3002.7612
Skewness-1.2726311
Sum1.3155453 × 108
Variance38213930
MonotonicityNot monotonic
2023-07-15T22:22:28.563780image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260311.428494633 4
 
0.8%
264078.515684782 3
 
0.6%
268252.175254865 3
 
0.6%
268119.263815917 3
 
0.6%
269224.163280011 3
 
0.6%
268274.713887583 3
 
0.6%
266233.497337615 3
 
0.6%
257570.015887625 3
 
0.6%
259526.429642653 3
 
0.6%
267318.38781429 2
 
0.4%
Other values (430) 469
90.0%
(Missing) 22
 
4.2%
ValueCountFrequency (%)
238824.505920574 1
0.2%
239193.193196123 1
0.2%
239536.919741222 1
0.2%
242313.644674073 1
0.2%
242366.866001439 1
0.2%
243049.515883486 1
0.2%
243993.782732761 1
0.2%
244518.668327961 1
0.2%
244607.915396304 2
0.4%
244727.739970859 1
0.2%
ValueCountFrequency (%)
274637.215015583 1
0.2%
274423.229897611 1
0.2%
274001.578647157 1
0.2%
273994.885718704 1
0.2%
273806.472554519 1
0.2%
273672.145236462 1
0.2%
273353.135751791 1
0.2%
273295.763942308 1
0.2%
273220.608260655 1
0.2%
273124.515306751 1
0.2%
Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
축산물가공업
521 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물가공업 521
100.0%

Length

2023-07-15T22:22:28.825736image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:29.139261image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
축산물가공업 521
100.0%
Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
식육가공업
495 
유가공업
 
14
알가공업
 
12

Length

Max length5
Median length5
Mean length4.950096
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식육가공업
2nd row식육가공업
3rd row식육가공업
4th row알가공업
5th row식육가공업

Common Values

ValueCountFrequency (%)
식육가공업 495
95.0%
유가공업 14
 
2.7%
알가공업 12
 
2.3%

Length

2023-07-15T22:22:29.378087image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:29.666387image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
식육가공업 495
95.0%
유가공업 14
 
2.7%
알가공업 12
 
2.3%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
<NA>
347 
0
174 

Length

Max length4
Median length4
Mean length2.9980806
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> 347
66.6%
0 174
33.4%

Length

2023-07-15T22:22:29.853578image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:30.072532image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 347
66.6%
0 174
33.4%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
000
354 
L00
167 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
000 354
67.9%
L00 167
32.1%

Length

2023-07-15T22:22:30.246110image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:30.459769image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
000 354
67.9%
l00 167
32.1%

총직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)5.8%
Missing24
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean2.277666
Minimum0
Maximum121
Zeros387
Zeros (%)74.3%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-07-15T22:22:30.656165image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9.2
Maximum121
Range121
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.293641
Coefficient of variation (CV)4.5193811
Kurtosis74.147202
Mean2.277666
Median Absolute Deviation (MAD)0
Skewness8.0755482
Sum1132
Variance105.95904
MonotonicityNot monotonic
2023-07-15T22:22:30.907394image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 387
74.3%
2 23
 
4.4%
4 17
 
3.3%
1 14
 
2.7%
3 11
 
2.1%
5 10
 
1.9%
7 4
 
0.8%
11 4
 
0.8%
6 3
 
0.6%
13 3
 
0.6%
Other values (19) 21
 
4.0%
(Missing) 24
 
4.6%
ValueCountFrequency (%)
0 387
74.3%
1 14
 
2.7%
2 23
 
4.4%
3 11
 
2.1%
4 17
 
3.3%
5 10
 
1.9%
6 3
 
0.6%
7 4
 
0.8%
8 1
 
0.2%
9 2
 
0.4%
ValueCountFrequency (%)
121 1
0.2%
99 1
0.2%
93 1
0.2%
88 1
0.2%
57 1
0.2%
41 1
0.2%
39 1
0.2%
37 1
0.2%
35 1
0.2%
27 1
0.2%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
01축산가공업07_22_05_P34200003420000004200300042003-02-25<NA>1영업/정상0정상<NA><NA><NA><NA>963-02370.0<NA>대구광역시 동구 신서동 625-6 번지<NA><NA>(주)정성원종합식품2004-03-09 11:35:17I2018-08-31 23:59:59식육가공업<NA><NA>축산물가공업식육가공업<NA>000<NA>
12축산가공업07_22_05_P34200003420000004200300032003-12-08<NA>1영업/정상0정상<NA><NA><NA><NA>984-11000.0<NA>대구광역시 동구 지저동 736-1 번지<NA><NA>세영종합식품2004-03-08 15:35:20I2018-08-31 23:59:59식육가공업<NA><NA>축산물가공업식육가공업<NA>000<NA>
23축산가공업07_22_05_P34200003420000004200300022003-07-15<NA>1영업/정상0정상<NA><NA><NA><NA>982-12530.0<NA>대구광역시 동구 도동 8-1 번지<NA><NA>푸드팜2004-03-08 15:30:14I2018-08-31 23:59:59식육가공업<NA><NA>축산물가공업식육가공업<NA>000<NA>
34축산가공업07_22_05_P34200003420000004200200022002-04-22<NA>1영업/정상0정상<NA><NA><NA><NA>941-41820.0<NA>대구광역시 동구 신암동 95-76 번지<NA><NA>대구유통2004-03-08 15:10:33I2018-08-31 23:59:59알가공업<NA><NA>축산물가공업알가공업<NA>000<NA>
45축산가공업07_22_05_P34200003420000004200200012002-03-19<NA>1영업/정상0정상<NA><NA><NA><NA>964-55890.0<NA>대구광역시 동구 용계동 878-55 번지<NA><NA>부성종합식품2004-03-08 14:52:00I2018-08-31 23:59:59식육가공업<NA><NA>축산물가공업식육가공업<NA>000<NA>
56축산가공업07_22_05_P34200003420000004200000032000-09-22<NA>1영업/정상0정상<NA><NA><NA><NA>961-11720.0<NA>대구광역시 동구 신기동 118-2 번지<NA><NA>(주)청담원2004-03-08 15:46:39I2018-08-31 23:59:59식육가공업<NA><NA>축산물가공업식육가공업<NA>000<NA>
67축산가공업07_22_05_P34200003420000004199900011999-02-19<NA>1영업/정상0정상<NA><NA><NA><NA>964-05670.0<NA>대구광역시 동구 동호동 109-1 번지<NA><NA>(주)춘광냉동종합식품2004-03-08 13:12:15I2018-08-31 23:59:59유가공업<NA><NA>축산물가공업유가공업<NA>000<NA>
78축산가공업07_22_05_P34200003420000004200000042000-10-10<NA>2휴업1휴업<NA>2002-06-01<NA><NA><NA>0.0<NA>대구광역시 동구 율암동 363-3 번지<NA><NA>(주)두현후레쉬2004-03-09 10:34:12I2018-08-31 23:59:59식육가공업<NA><NA>축산물가공업식육가공업<NA>000<NA>
89축산가공업07_22_05_P34600003460000004200000012000-06-26<NA>1영업/정상0정상<NA><NA><NA><NA>811-82240.0<NA>대구광역시 수성구 사월동 37-1 번지<NA><NA>계림물산2004-03-19 08:54:20I2018-08-31 23:59:59식육가공업<NA><NA>축산물가공업식육가공업<NA>000<NA>
910축산가공업07_22_05_P34600003460000004200300022003-03-24<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 수성구 중동 532-176 번지<NA><NA>하나식품2004-03-19 08:59:39I2018-08-31 23:59:59식육가공업<NA><NA>축산물가공업식육가공업<NA>000<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
511512축산가공업07_22_05_P62700006270000004201500132015-07-16<NA>4취소/말소/만료/정지/중지4말소2020-07-07<NA><NA><NA>053252201083.5<NA>대구광역시 동구 신암동 1298번지 36호 양지아파트 상가 102호대구광역시 동구 신암로12길 7, 102호 (신암동,양지아파트상가)701-817림스영남지사2020-07-10 10:49:27U2020-07-12 02:40:00식육가공업345120.002507265256.767248축산물가공업식육가공업<NA>0000
512513축산가공업07_22_05_P62700006270000004201600122016-06-29<NA>4취소/말소/만료/정지/중지4말소2022-02-25<NA><NA><NA><NA>86.0<NA>대구광역시 동구 신서동 579번지 11호대구광역시 동구 금강로16길 41-2 (신서동)<NA>미더움푸드2022-02-25 11:13:33U2022-02-27 02:40:00식육가공업356477.570168264060.473862축산물가공업식육가공업00000
513514축산가공업07_22_05_P62700006270000004201500232016-08-24<NA>4취소/말소/만료/정지/중지4말소2021-05-10<NA><NA><NA><NA>294.0<NA>대구광역시 북구 노원동3가 714번지대구광역시 북구 팔달북로 19 (노원동3가)<NA>(주)혜성축산2021-06-08 13:25:21U2021-06-10 02:40:00식육가공업341064.263649266817.406917축산물가공업식육가공업<NA>L000
514515축산가공업07_22_05_P62700006270000004200400052004-05-24<NA>4취소/말소/만료/정지/중지4말소2018-11-26<NA><NA><NA>05332221930.0702-210대구광역시 북구 학정동 879번지 1호대구광역시 북구 구리로1길 2-1 (학정동)702-911다다식품2019-02-07 17:19:27U2019-02-09 02:40:00알가공업340392.757474272955.150012축산물가공업알가공업<NA>0000
515516축산가공업07_22_05_P62700006270000004200100022001-08-10<NA>4취소/말소/만료/정지/중지4말소2019-10-22<NA><NA><NA>0533823690277.76702-030대구광역시 북구 검단동 582번지 7호대구광역시 북구 유통단지로7길 111 (검단동)702-801구들장식품(주)2019-10-23 10:45:09U2019-10-25 02:40:00식육가공업345612.619723269220.628528축산물가공업식육가공업<NA>L007
516517축산가공업07_22_05_P62700006270000004200400032004-11-18<NA>4취소/말소/만료/정지/중지4말소2019-05-29<NA><NA><NA>05355349980.0703-014대구광역시 서구 평리동 1353번지 4호대구광역시 서구 서대구로18길 11 (평리동)703-847동남유통2019-07-15 10:48:22U2019-07-17 02:40:00식육가공업340584.955496263968.466182축산물가공업식육가공업<NA>0001
517518축산가공업07_22_05_P62700006270000004200900062009-04-29<NA>4취소/말소/만료/정지/중지4말소2019-05-29<NA><NA><NA>0535238235218.75704-807대구광역시 달서구 본동 980번지대구광역시 달서구 와룡로4길 12 (본동)704-807내장산총체보리한우영농조합법인2019-07-15 10:50:35U2019-07-17 02:40:00식육가공업338913.356872260442.064585축산물가공업식육가공업<NA>L000
518519축산가공업07_22_05_P62700006270000004201300232013-06-05<NA>4취소/말소/만료/정지/중지4말소2021-05-10<NA><NA><NA><NA>0.0<NA>대구광역시 북구 노원동2가 301번지대구광역시 북구 노원로10길 74, 1층 (노원동2가)702-812(주)더푸드2021-06-08 13:22:07U2021-06-10 02:40:00식육가공업341819.539876266780.313841축산물가공업식육가공업<NA>L000
519520축산가공업07_22_05_P62700006270000004201300682013-11-11<NA>4취소/말소/만료/정지/중지4말소2022-02-25<NA><NA><NA>05331199190.0<NA>대구광역시 북구 팔달북로3길 10 (노원동3가)702-816지유식품2022-02-25 11:08:27U2022-02-27 02:40:00식육가공업341084.925124266755.740515축산물가공업식육가공업00000
520521축산가공업07_22_05_P62700006270000004201700142017-06-09<NA>4취소/말소/만료/정지/중지4말소2021-05-10<NA><NA><NA><NA>113.0<NA>대구광역시 수성구 범어동 134번지 1호대구광역시 수성구 국채보상로 926, 지하1층 (범어동)<NA>천사식품2021-05-14 07:24:43U2021-05-16 02:40:00식육가공업347318.439758264203.917969축산물가공업식육가공업<NA>0000