Overview

Dataset statistics

Number of variables47
Number of observations42
Missing cells447
Missing cells (%)22.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.8 KiB
Average record size in memory409.1 B

Variable types

Numeric11
Categorical19
Text6
Unsupported9
DateTime1
Boolean1

Dataset

Description22년07월_6270000_대구광역시_07_22_12_P_식품첨가물제조업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000094050&dataSetDetailId=DDI_0000094068&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업태구분명 has constant value ""Constant
위생업태명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
인허가취소일자 has 42 (100.0%) missing valuesMissing
폐업일자 has 19 (45.2%) missing valuesMissing
휴업시작일자 has 42 (100.0%) missing valuesMissing
휴업종료일자 has 42 (100.0%) missing valuesMissing
재개업일자 has 42 (100.0%) missing valuesMissing
소재지전화 has 10 (23.8%) missing valuesMissing
소재지면적 has 2 (4.8%) missing valuesMissing
소재지우편번호 has 1 (2.4%) missing valuesMissing
도로명전체주소 has 8 (19.0%) missing valuesMissing
도로명우편번호 has 8 (19.0%) missing valuesMissing
좌표정보(X) has 5 (11.9%) missing valuesMissing
좌표정보(Y) has 5 (11.9%) missing valuesMissing
영업장주변구분명 has 42 (100.0%) missing valuesMissing
등급구분명 has 42 (100.0%) missing valuesMissing
공장생산직직원수 has 11 (26.2%) missing valuesMissing
전통업소지정번호 has 42 (100.0%) missing valuesMissing
전통업소주된음식 has 42 (100.0%) missing valuesMissing
홈페이지 has 42 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공장생산직직원수 has 18 (42.9%) zerosZeros
시설총규모 has 35 (83.3%) zerosZeros

Reproduction

Analysis started2023-12-10 18:30:52.572244
Analysis finished2023-12-10 18:30:53.510066
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.5
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:30:53.640764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q111.25
median21.5
Q331.75
95-th percentile39.95
Maximum42
Range41
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.267844
Coefficient of variation (CV)0.5705974
Kurtosis-1.2
Mean21.5
Median Absolute Deviation (MAD)10.5
Skewness0
Sum903
Variance150.5
MonotonicityStrictly increasing
2023-12-11T03:30:53.873478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1 1
 
2.4%
33 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
32 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
42 1
2.4%
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
식품첨가물제조업
42 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품첨가물제조업 42
100.0%

Length

2023-12-11T03:30:54.090323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:30:54.263406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품첨가물제조업 42
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
07_22_12_P
42 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_12_P
2nd row07_22_12_P
3rd row07_22_12_P
4th row07_22_12_P
5th row07_22_12_P

Common Values

ValueCountFrequency (%)
07_22_12_P 42
100.0%

Length

2023-12-11T03:30:54.433818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:30:54.612030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_12_p 42
100.0%

개방자치단체코드
Real number (ℝ)

Distinct7
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3459285.7
Minimum3420000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:30:54.769932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3420000
5-th percentile3430000
Q13442500
median3470000
Q33480000
95-th percentile3480000
Maximum3480000
Range60000
Interquartile range (IQR)37500

Descriptive statistics

Standard deviation19925.821
Coefficient of variation (CV)0.0057600968
Kurtosis-1.0848101
Mean3459285.7
Median Absolute Deviation (MAD)10000
Skewness-0.57653502
Sum1.4529 × 108
Variance3.9703833 × 108
MonotonicityIncreasing
2023-12-11T03:30:54.963825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3480000 12
28.6%
3470000 11
26.2%
3430000 6
14.3%
3450000 6
14.3%
3440000 3
 
7.1%
3420000 2
 
4.8%
3460000 2
 
4.8%
ValueCountFrequency (%)
3420000 2
 
4.8%
3430000 6
14.3%
3440000 3
 
7.1%
3450000 6
14.3%
3460000 2
 
4.8%
3470000 11
26.2%
3480000 12
28.6%
ValueCountFrequency (%)
3480000 12
28.6%
3470000 11
26.2%
3460000 2
 
4.8%
3450000 6
14.3%
3440000 3
 
7.1%
3430000 6
14.3%
3420000 2
 
4.8%

관리번호
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T03:30:55.307460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters924
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row3420000-108-2011-00001
2nd row3420000-108-2014-00001
3rd row3430000-108-2011-00002
4th row3430000-108-2019-00001
5th row3430000-108-2019-00002
ValueCountFrequency (%)
3420000-108-2011-00001 1
 
2.4%
3480000-108-2011-00005 1
 
2.4%
3480000-108-2011-00002 1
 
2.4%
3470000-108-2015-00001 1
 
2.4%
3470000-108-2022-00001 1
 
2.4%
3470000-108-2012-00001 1
 
2.4%
3470000-108-2011-00002 1
 
2.4%
3470000-108-2011-00001 1
 
2.4%
3470000-108-2018-00001 1
 
2.4%
3470000-108-2014-00002 1
 
2.4%
Other values (32) 32
76.2%
2023-12-11T03:30:55.871780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 424
45.9%
- 126
 
13.6%
1 122
 
13.2%
2 66
 
7.1%
8 57
 
6.2%
3 51
 
5.5%
4 50
 
5.4%
7 12
 
1.3%
5 8
 
0.9%
6 5
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 798
86.4%
Dash Punctuation 126
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 424
53.1%
1 122
 
15.3%
2 66
 
8.3%
8 57
 
7.1%
3 51
 
6.4%
4 50
 
6.3%
7 12
 
1.5%
5 8
 
1.0%
6 5
 
0.6%
9 3
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 924
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 424
45.9%
- 126
 
13.6%
1 122
 
13.2%
2 66
 
7.1%
8 57
 
6.2%
3 51
 
5.5%
4 50
 
5.4%
7 12
 
1.3%
5 8
 
0.9%
6 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 924
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 424
45.9%
- 126
 
13.6%
1 122
 
13.2%
2 66
 
7.1%
8 57
 
6.2%
3 51
 
5.5%
4 50
 
5.4%
7 12
 
1.3%
5 8
 
0.9%
6 5
 
0.5%

인허가일자
Real number (ℝ)

Distinct39
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20116833
Minimum19890829
Maximum20220721
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:30:56.134292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19890829
5-th percentile19981577
Q120062922
median20125668
Q320190583
95-th percentile20211205
Maximum20220721
Range329892
Interquartile range (IQR)127661.5

Descriptive statistics

Standard deviation80591.346
Coefficient of variation (CV)0.0040061646
Kurtosis-0.030813724
Mean20116833
Median Absolute Deviation (MAD)65147
Skewness-0.69178042
Sum8.44907 × 108
Variance6.4949651 × 109
MonotonicityNot monotonic
2023-12-11T03:30:56.359776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20141113 2
 
4.8%
20070726 2
 
4.8%
20120313 2
 
4.8%
20200214 1
 
2.4%
20150701 1
 
2.4%
20220705 1
 
2.4%
20120921 1
 
2.4%
20070920 1
 
2.4%
20180509 1
 
2.4%
20050120 1
 
2.4%
Other values (29) 29
69.0%
ValueCountFrequency (%)
19890829 1
2.4%
19970410 1
2.4%
19981111 1
2.4%
19990422 1
2.4%
20020103 1
2.4%
20021024 1
2.4%
20030123 1
2.4%
20040705 1
2.4%
20050120 1
2.4%
20050323 1
2.4%
ValueCountFrequency (%)
20220721 1
2.4%
20220705 1
2.4%
20211210 1
2.4%
20211118 1
2.4%
20210205 1
2.4%
20200721 1
2.4%
20200624 1
2.4%
20200305 1
2.4%
20200214 1
2.4%
20190926 1
2.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
3
23 
1
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 23
54.8%
1 19
45.2%

Length

2023-12-11T03:30:56.625762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:30:56.814463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 23
54.8%
1 19
45.2%

영업상태명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
폐업
23 
영업/정상
19 

Length

Max length5
Median length2
Mean length3.3571429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 23
54.8%
영업/정상 19
45.2%

Length

2023-12-11T03:30:56.999262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:30:57.189262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 23
54.8%
영업/정상 19
45.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
2
23 
1
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
2 23
54.8%
1 19
45.2%

Length

2023-12-11T03:30:57.353174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:30:57.535023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 23
54.8%
1 19
45.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
폐업
23 
영업
19 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 23
54.8%
영업 19
45.2%

Length

2023-12-11T03:30:57.740396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:30:57.933772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 23
54.8%
영업 19
45.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)100.0%
Missing19
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean20132934
Minimum20040914
Maximum20211115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:30:58.114737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040914
5-th percentile20043160
Q120090913
median20131106
Q320175717
95-th percentile20200568
Maximum20211115
Range170201
Interquartile range (IQR)84804

Descriptive statistics

Standard deviation54276.126
Coefficient of variation (CV)0.0026958876
Kurtosis-1.1688908
Mean20132934
Median Absolute Deviation (MAD)49222
Skewness-0.31229119
Sum4.6305748 × 108
Variance2.9458979 × 109
MonotonicityNot monotonic
2023-12-11T03:30:58.327644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20170731 1
 
2.4%
20060526 1
 
2.4%
20080625 1
 
2.4%
20041231 1
 
2.4%
20040914 1
 
2.4%
20160203 1
 
2.4%
20131104 1
 
2.4%
20110727 1
 
2.4%
20131106 1
 
2.4%
20171106 1
 
2.4%
Other values (13) 13
31.0%
(Missing) 19
45.2%
ValueCountFrequency (%)
20040914 1
2.4%
20041231 1
2.4%
20060526 1
2.4%
20060612 1
2.4%
20071026 1
2.4%
20080625 1
2.4%
20101201 1
2.4%
20110126 1
2.4%
20110727 1
2.4%
20130906 1
2.4%
ValueCountFrequency (%)
20211115 1
2.4%
20200619 1
2.4%
20200110 1
2.4%
20191209 1
2.4%
20190129 1
2.4%
20180328 1
2.4%
20171106 1
2.4%
20170731 1
2.4%
20161124 1
2.4%
20160203 1
2.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

소재지전화
Text

MISSING 

Distinct30
Distinct (%)93.8%
Missing10
Missing (%)23.8%
Memory size468.0 B
2023-12-11T03:30:58.619518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.75
Min length8

Characters and Unicode

Total characters344
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)87.5%

Sample

1st row053 981 3886
2nd row053 965 6581
3rd row053 5237589
4th row0535656597
5th row053 5652600
ValueCountFrequency (%)
053 15
23.8%
15662723 3
 
4.8%
616 3
 
4.8%
0661 2
 
3.2%
592 2
 
3.2%
0536156904 1
 
1.6%
0432 1
 
1.6%
610 1
 
1.6%
0154 1
 
1.6%
5171 1
 
1.6%
Other values (33) 33
52.4%
2023-12-11T03:30:59.188560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 54
15.7%
0 53
15.4%
3 48
14.0%
6 38
11.0%
1 35
10.2%
33
9.6%
2 21
 
6.1%
7 18
 
5.2%
4 17
 
4.9%
8 14
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 311
90.4%
Space Separator 33
 
9.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 54
17.4%
0 53
17.0%
3 48
15.4%
6 38
12.2%
1 35
11.3%
2 21
 
6.8%
7 18
 
5.8%
4 17
 
5.5%
8 14
 
4.5%
9 13
 
4.2%
Space Separator
ValueCountFrequency (%)
33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 344
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 54
15.7%
0 53
15.4%
3 48
14.0%
6 38
11.0%
1 35
10.2%
33
9.6%
2 21
 
6.1%
7 18
 
5.2%
4 17
 
4.9%
8 14
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 344
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 54
15.7%
0 53
15.4%
3 48
14.0%
6 38
11.0%
1 35
10.2%
33
9.6%
2 21
 
6.1%
7 18
 
5.2%
4 17
 
4.9%
8 14
 
4.1%

소재지면적
Text

MISSING 

Distinct39
Distinct (%)97.5%
Missing2
Missing (%)4.8%
Memory size468.0 B
2023-12-11T03:30:59.543269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.375
Min length3

Characters and Unicode

Total characters215
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)95.0%

Sample

1st row29.00
2nd row305.00
3rd row59.51
4th row60.48
5th row494.00
ValueCountFrequency (%)
00 2
 
5.0%
152.10 1
 
2.5%
29.00 1
 
2.5%
120.00 1
 
2.5%
51.00 1
 
2.5%
10.45 1
 
2.5%
50.00 1
 
2.5%
556.80 1
 
2.5%
68.50 1
 
2.5%
118.50 1
 
2.5%
Other values (29) 29
72.5%
2023-12-11T03:31:00.104089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
23.3%
. 40
18.6%
5 21
9.8%
1 20
 
9.3%
2 15
 
7.0%
8 14
 
6.5%
6 14
 
6.5%
9 12
 
5.6%
3 11
 
5.1%
4 11
 
5.1%
Other values (2) 7
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 174
80.9%
Other Punctuation 41
 
19.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
28.7%
5 21
12.1%
1 20
 
11.5%
2 15
 
8.6%
8 14
 
8.0%
6 14
 
8.0%
9 12
 
6.9%
3 11
 
6.3%
4 11
 
6.3%
7 6
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 40
97.6%
, 1
 
2.4%

Most occurring scripts

ValueCountFrequency (%)
Common 215
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50
23.3%
. 40
18.6%
5 21
9.8%
1 20
 
9.3%
2 15
 
7.0%
8 14
 
6.5%
6 14
 
6.5%
9 12
 
5.6%
3 11
 
5.1%
4 11
 
5.1%
Other values (2) 7
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 215
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
23.3%
. 40
18.6%
5 21
9.8%
1 20
 
9.3%
2 15
 
7.0%
8 14
 
6.5%
6 14
 
6.5%
9 12
 
5.6%
3 11
 
5.1%
4 11
 
5.1%
Other values (2) 7
 
3.3%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)63.4%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean706399.63
Minimum701260
Maximum711864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:31:00.336936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum701260
5-th percentile702040
Q1703830
median704838
Q3711822
95-th percentile711855
Maximum711864
Range10604
Interquartile range (IQR)7992

Descriptive statistics

Standard deviation3733.9911
Coefficient of variation (CV)0.0052859471
Kurtosis-1.2534039
Mean706399.63
Median Absolute Deviation (MAD)1986
Skewness0.62323062
Sum28962385
Variance13942690
MonotonicityNot monotonic
2023-12-11T03:31:00.942350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
711855 6
 
14.3%
704833 3
 
7.1%
706848 2
 
4.8%
704900 2
 
4.8%
703833 2
 
4.8%
703830 2
 
4.8%
711843 2
 
4.8%
702800 2
 
4.8%
704801 2
 
4.8%
704920 2
 
4.8%
Other values (16) 16
38.1%
ValueCountFrequency (%)
701260 1
2.4%
701807 1
2.4%
702040 1
2.4%
702800 2
4.8%
702805 1
2.4%
702852 1
2.4%
702862 1
2.4%
703110 1
2.4%
703830 2
4.8%
703831 1
2.4%
ValueCountFrequency (%)
711864 1
 
2.4%
711855 6
14.3%
711852 1
 
2.4%
711843 2
 
4.8%
711822 1
 
2.4%
711811 1
 
2.4%
706848 2
 
4.8%
705826 1
 
2.4%
705800 1
 
2.4%
704920 2
 
4.8%

소재지전체주소
Text

Distinct39
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T03:31:01.378560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26
Mean length22.47619
Min length7

Characters and Unicode

Total characters944
Distinct characters76
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

Unique36 ?
Unique (%)85.7%

Sample

1st row대구광역시 동구 불로동 1074-6번지
2nd row대구광역시 동구 율암동 1103-13번지
3rd row대구광역시 서구 중리동 40-13번지
4th row대구광역시 서구 중리동 1066
5th row대구광역시 서구 중리동 905-10번지
ValueCountFrequency (%)
대구광역시 42
23.3%
달성군 12
 
6.7%
달서구 11
 
6.1%
논공읍 7
 
3.9%
본리리 6
 
3.3%
북구 6
 
3.3%
서구 6
 
3.3%
이현동 3
 
1.7%
월암동 3
 
1.7%
중리동 3
 
1.7%
Other values (67) 81
45.0%
2023-12-11T03:31:02.119952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
181
19.2%
구 72
 
7.6%
대 47
 
5.0%
1 45
 
4.8%
광 42
 
4.4%
역 42
 
4.4%
시 42
 
4.4%
- 35
 
3.7%
동 31
 
3.3%
지 28
 
3.0%
Other values (66) 379
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 540
57.2%
Decimal Number 188
 
19.9%
Space Separator 181
 
19.2%
Dash Punctuation 35
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 72
13.3%
대 47
 
8.7%
광 42
 
7.8%
역 42
 
7.8%
시 42
 
7.8%
동 31
 
5.7%
지 28
 
5.2%
번 28
 
5.2%
달 23
 
4.3%
리 22
 
4.1%
Other values (54) 163
30.2%
Decimal Number
ValueCountFrequency (%)
1 45
23.9%
2 27
14.4%
0 17
 
9.0%
8 17
 
9.0%
3 16
 
8.5%
5 15
 
8.0%
9 15
 
8.0%
7 14
 
7.4%
4 12
 
6.4%
6 10
 
5.3%
Space Separator
ValueCountFrequency (%)
181
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 540
57.2%
Common 404
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 72
13.3%
대 47
 
8.7%
광 42
 
7.8%
역 42
 
7.8%
시 42
 
7.8%
동 31
 
5.7%
지 28
 
5.2%
번 28
 
5.2%
달 23
 
4.3%
리 22
 
4.1%
Other values (54) 163
30.2%
Common
ValueCountFrequency (%)
181
44.8%
1 45
 
11.1%
- 35
 
8.7%
2 27
 
6.7%
0 17
 
4.2%
8 17
 
4.2%
3 16
 
4.0%
5 15
 
3.7%
9 15
 
3.7%
7 14
 
3.5%
Other values (2) 22
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 540
57.2%
ASCII 404
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
181
44.8%
1 45
 
11.1%
- 35
 
8.7%
2 27
 
6.7%
0 17
 
4.2%
8 17
 
4.2%
3 16
 
4.0%
5 15
 
3.7%
9 15
 
3.7%
7 14
 
3.5%
Other values (2) 22
 
5.4%
Hangul
ValueCountFrequency (%)
구 72
13.3%
대 47
 
8.7%
광 42
 
7.8%
역 42
 
7.8%
시 42
 
7.8%
동 31
 
5.7%
지 28
 
5.2%
번 28
 
5.2%
달 23
 
4.3%
리 22
 
4.1%
Other values (54) 163
30.2%

도로명전체주소
Text

MISSING 

Distinct34
Distinct (%)100.0%
Missing8
Missing (%)19.0%
Memory size468.0 B
2023-12-11T03:31:02.601432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length30.5
Mean length27.147059
Min length21

Characters and Unicode

Total characters923
Distinct characters92
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row대구광역시 동구 방천로6길 36 (불로동)
2nd row대구광역시 동구 매여로 62, 1층 (율암동)
3rd row대구광역시 서구 서대구로25길 19 (중리동)
4th row대구광역시 서구 국채보상로20길 32 (중리동)
5th row대구광역시 서구 와룡로73길 57-6 (중리동)
ValueCountFrequency (%)
대구광역시 34
 
17.9%
1층 12
 
6.3%
달서구 10
 
5.3%
달성군 8
 
4.2%
북구 6
 
3.2%
논공읍 5
 
2.6%
서구 4
 
2.1%
21 3
 
1.6%
중리동 3
 
1.6%
파동로32길 2
 
1.1%
Other values (87) 103
54.2%
2023-12-11T03:31:03.277945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
 
16.9%
구 64
 
6.9%
대 44
 
4.8%
로 35
 
3.8%
광 34
 
3.7%
역 34
 
3.7%
시 34
 
3.7%
1 33
 
3.6%
동 32
 
3.5%
( 27
 
2.9%
Other values (82) 430
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 546
59.2%
Space Separator 156
 
16.9%
Decimal Number 145
 
15.7%
Open Punctuation 27
 
2.9%
Close Punctuation 27
 
2.9%
Other Punctuation 17
 
1.8%
Dash Punctuation 4
 
0.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 64
 
11.7%
대 44
 
8.1%
로 35
 
6.4%
광 34
 
6.2%
역 34
 
6.2%
시 34
 
6.2%
동 32
 
5.9%
길 26
 
4.8%
서 25
 
4.6%
달 19
 
3.5%
Other values (66) 199
36.4%
Decimal Number
ValueCountFrequency (%)
1 33
22.8%
5 23
15.9%
2 23
15.9%
6 15
10.3%
3 15
10.3%
4 8
 
5.5%
0 8
 
5.5%
7 8
 
5.5%
8 7
 
4.8%
9 5
 
3.4%
Space Separator
ValueCountFrequency (%)
156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 546
59.2%
Common 376
40.7%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 64
 
11.7%
대 44
 
8.1%
로 35
 
6.4%
광 34
 
6.2%
역 34
 
6.2%
시 34
 
6.2%
동 32
 
5.9%
길 26
 
4.8%
서 25
 
4.6%
달 19
 
3.5%
Other values (66) 199
36.4%
Common
ValueCountFrequency (%)
156
41.5%
1 33
 
8.8%
( 27
 
7.2%
) 27
 
7.2%
5 23
 
6.1%
2 23
 
6.1%
, 17
 
4.5%
6 15
 
4.0%
3 15
 
4.0%
4 8
 
2.1%
Other values (5) 32
 
8.5%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 546
59.2%
ASCII 377
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
41.4%
1 33
 
8.8%
( 27
 
7.2%
) 27
 
7.2%
5 23
 
6.1%
2 23
 
6.1%
, 17
 
4.5%
6 15
 
4.0%
3 15
 
4.0%
4 8
 
2.1%
Other values (6) 33
 
8.8%
Hangul
ValueCountFrequency (%)
구 64
 
11.7%
대 44
 
8.1%
로 35
 
6.4%
광 34
 
6.2%
역 34
 
6.2%
시 34
 
6.2%
동 32
 
5.9%
길 26
 
4.8%
서 25
 
4.6%
달 19
 
3.5%
Other values (66) 199
36.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)85.3%
Missing8
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean42313.706
Minimum41042
Maximum42983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:31:03.570084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41042
5-th percentile41329.55
Q141755.75
median42702
Q342762.25
95-th percentile42983
Maximum42983
Range1941
Interquartile range (IQR)1006.5

Descriptive statistics

Standard deviation625.77876
Coefficient of variation (CV)0.014789032
Kurtosis-1.0980573
Mean42313.706
Median Absolute Deviation (MAD)280.5
Skewness-0.6054369
Sum1438666
Variance391599.06
MonotonicityNot monotonic
2023-12-11T03:31:03.815304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
42983 3
 
7.1%
42230 2
 
4.8%
42721 2
 
4.8%
42702 2
 
4.8%
41758 1
 
2.4%
42703 1
 
2.4%
42934 1
 
2.4%
42981 1
 
2.4%
42907 1
 
2.4%
42901 1
 
2.4%
Other values (19) 19
45.2%
(Missing) 8
19.0%
ValueCountFrequency (%)
41042 1
2.4%
41065 1
2.4%
41472 1
2.4%
41512 1
2.4%
41521 1
2.4%
41546 1
2.4%
41572 1
2.4%
41580 1
2.4%
41755 1
2.4%
41758 1
2.4%
ValueCountFrequency (%)
42983 3
7.1%
42982 1
 
2.4%
42981 1
 
2.4%
42934 1
 
2.4%
42907 1
 
2.4%
42901 1
 
2.4%
42769 1
 
2.4%
42742 1
 
2.4%
42721 2
4.8%
42720 1
 
2.4%

사업장명
Text

Distinct37
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-11T03:31:04.178104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9.5
Mean length6.0952381
Min length2

Characters and Unicode

Total characters256
Distinct characters117
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)78.6%

Sample

1st row매봉산야초건강원
2nd row(주)프리나
3rd row생림목초
4th row일지스타치
5th row뉴트리디언
ValueCountFrequency (%)
주)자숨 3
 
6.7%
주식회사 2
 
4.4%
동창c&f 2
 
4.4%
미남메디칼 2
 
4.4%
태경농산(주 2
 
4.4%
유청식품 1
 
2.2%
한솔푸드테크놀로지 1
 
2.2%
명성식품 1
 
2.2%
태성푸드 1
 
2.2%
주)피앤디코스켐 1
 
2.2%
Other values (29) 29
64.4%
2023-12-11T03:31:04.818794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 19
 
7.4%
( 17
 
6.6%
) 17
 
6.6%
산 7
 
2.7%
이 6
 
2.3%
오 5
 
2.0%
식 5
 
2.0%
성 5
 
2.0%
스 4
 
1.6%
바 4
 
1.6%
Other values (107) 167
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 213
83.2%
Open Punctuation 17
 
6.6%
Close Punctuation 17
 
6.6%
Uppercase Letter 4
 
1.6%
Space Separator 3
 
1.2%
Other Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 19
 
8.9%
산 7
 
3.3%
이 6
 
2.8%
오 5
 
2.3%
식 5
 
2.3%
성 5
 
2.3%
스 4
 
1.9%
바 4
 
1.9%
디 4
 
1.9%
리 4
 
1.9%
Other values (101) 150
70.4%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
F 2
50.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 213
83.2%
Common 39
 
15.2%
Latin 4
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 19
 
8.9%
산 7
 
3.3%
이 6
 
2.8%
오 5
 
2.3%
식 5
 
2.3%
성 5
 
2.3%
스 4
 
1.9%
바 4
 
1.9%
디 4
 
1.9%
리 4
 
1.9%
Other values (101) 150
70.4%
Common
ValueCountFrequency (%)
( 17
43.6%
) 17
43.6%
3
 
7.7%
& 2
 
5.1%
Latin
ValueCountFrequency (%)
C 2
50.0%
F 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 213
83.2%
ASCII 43
 
16.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 19
 
8.9%
산 7
 
3.3%
이 6
 
2.8%
오 5
 
2.3%
식 5
 
2.3%
성 5
 
2.3%
스 4
 
1.9%
바 4
 
1.9%
디 4
 
1.9%
리 4
 
1.9%
Other values (101) 150
70.4%
ASCII
ValueCountFrequency (%)
( 17
39.5%
) 17
39.5%
3
 
7.0%
C 2
 
4.7%
& 2
 
4.7%
F 2
 
4.7%

최종수정시점
Real number (ℝ)

Distinct39
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0161422 × 1013
Minimum2.0060818 × 1013
Maximum2.0220727 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:31:05.059615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0060818 × 1013
5-th percentile2.0060818 × 1013
Q12.0123362 × 1013
median2.0180419 × 1013
Q32.0200697 × 1013
95-th percentile2.021121 × 1013
Maximum2.0220727 × 1013
Range1.5990888 × 1011
Interquartile range (IQR)7.7334806 × 1010

Descriptive statistics

Standard deviation5.0682319 × 1010
Coefficient of variation (CV)0.0025138266
Kurtosis-0.54483968
Mean2.0161422 × 1013
Median Absolute Deviation (MAD)2.9995444 × 1010
Skewness-0.83942036
Sum8.4677971 × 1014
Variance2.5686974 × 1021
MonotonicityNot monotonic
2023-12-11T03:31:05.343764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20060818222941 4
 
9.5%
20120213102837 1
 
2.4%
20190816150339 1
 
2.4%
20171106143720 1
 
2.4%
20220708115927 1
 
2.4%
20121011115222 1
 
2.4%
20110113112657 1
 
2.4%
20120125113609 1
 
2.4%
20180509171709 1
 
2.4%
20141113125327 1
 
2.4%
Other values (29) 29
69.0%
ValueCountFrequency (%)
20060818222941 4
9.5%
20071228112953 1
 
2.4%
20080625180001 1
 
2.4%
20101202230409 1
 
2.4%
20110113112657 1
 
2.4%
20120125113609 1
 
2.4%
20120213102837 1
 
2.4%
20121011115222 1
 
2.4%
20130416103429 1
 
2.4%
20140113104126 1
 
2.4%
ValueCountFrequency (%)
20220727102248 1
2.4%
20220708115927 1
2.4%
20211210173449 1
2.4%
20211210165951 1
2.4%
20211118103446 1
2.4%
20211115094821 1
2.4%
20210623100751 1
2.4%
20210205104753 1
2.4%
20201104165418 1
2.4%
20200921112048 1
2.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
I
29 
U
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 29
69.0%
U 13
31.0%

Length

2023-12-11T03:31:05.616684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:05.922461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 29
69.0%
u 13
31.0%

데이터갱신일자
Date

Distinct21
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2018-08-31 23:59:59
Maximum2022-07-29 02:40:00
2023-12-11T03:31:06.106976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:31:06.302804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
식품첨가물제조업
42 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품첨가물제조업 42
100.0%

Length

2023-12-11T03:31:06.563743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:06.754196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품첨가물제조업 42
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)91.9%
Missing5
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean338906.32
Minimum330023.3
Maximum354057.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:31:06.935094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330023.3
5-th percentile331244.58
Q1335172.15
median338275.81
Q3344039.8
95-th percentile347006.75
Maximum354057.06
Range24033.762
Interquartile range (IQR)8867.6536

Descriptive statistics

Standard deviation5918.0095
Coefficient of variation (CV)0.017462081
Kurtosis-0.49216215
Mean338906.32
Median Absolute Deviation (MAD)5472.4235
Skewness0.47506603
Sum12539534
Variance35022836
MonotonicityNot monotonic
2023-12-11T03:31:07.211720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
336398.016153 2
 
4.8%
345860.31498 2
 
4.8%
330023.299301 2
 
4.8%
332803.386147 1
 
2.4%
336602.547838 1
 
2.4%
335660.262521 1
 
2.4%
335324.183515 1
 
2.4%
335334.429366 1
 
2.4%
332716.315723 1
 
2.4%
335757.235386 1
 
2.4%
Other values (24) 24
57.1%
(Missing) 5
 
11.9%
ValueCountFrequency (%)
330023.299301 2
4.8%
331549.895399 1
2.4%
332256.882943 1
2.4%
332289.538416 1
2.4%
332506.529811 1
2.4%
332716.315723 1
2.4%
332803.386147 1
2.4%
333265.664044 1
2.4%
335172.148565 1
2.4%
335324.183515 1
2.4%
ValueCountFrequency (%)
354057.061461 1
2.4%
347546.799156 1
2.4%
346871.742988 1
2.4%
346717.496771 1
2.4%
346695.65185 1
2.4%
345860.31498 2
4.8%
344778.061422 1
2.4%
344360.92096 1
2.4%
344039.802161 1
2.4%
343831.4029 1
2.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)91.9%
Missing5
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean261105.75
Minimum249041.86
Maximum271660.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:31:07.445419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum249041.86
5-th percentile249354.15
Q1258731.02
median261606.57
Q3265284.57
95-th percentile269280.83
Maximum271660.6
Range22618.745
Interquartile range (IQR)6553.5473

Descriptive statistics

Standard deviation6078.6825
Coefficient of variation (CV)0.023280538
Kurtosis-0.29072961
Mean261105.75
Median Absolute Deviation (MAD)3678.0037
Skewness-0.53664127
Sum9660912.9
Variance36950380
MonotonicityNot monotonic
2023-12-11T03:31:07.672035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
260311.428495 2
 
4.8%
258731.024724 2
 
4.8%
255804.872552 2
 
4.8%
250052.269534 1
 
2.4%
257380.344146 1
 
2.4%
258963.271546 1
 
2.4%
259383.277395 1
 
2.4%
261589.453297 1
 
2.4%
249300.581566 1
 
2.4%
260809.948567 1
 
2.4%
Other values (24) 24
57.1%
(Missing) 5
 
11.9%
ValueCountFrequency (%)
249041.859159 1
2.4%
249300.581566 1
2.4%
249367.53852 1
2.4%
250052.269534 1
2.4%
250134.80573 1
2.4%
255804.872552 2
4.8%
256884.837128 1
2.4%
257380.344146 1
2.4%
258731.024724 2
4.8%
258963.271546 1
2.4%
ValueCountFrequency (%)
271660.604411 1
2.4%
269547.192353 1
2.4%
269214.234995 1
2.4%
269165.84039 1
2.4%
267516.161613 1
2.4%
267419.098375 1
2.4%
266670.09756 1
2.4%
266430.044264 1
2.4%
266152.28177 1
2.4%
265284.572044 1
2.4%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
식품첨가물제조업
42 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품첨가물제조업 42
100.0%

Length

2023-12-11T03:31:07.892106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:08.074067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품첨가물제조업 42
100.0%

남성종사자수
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
36 
0
6 

Length

Max length4
Median length4
Mean length3.5714286
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> 36
85.7%
0 6
 
14.3%

Length

2023-12-11T03:31:08.287503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:08.492781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
85.7%
0 6
 
14.3%

여성종사자수
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
36 
0
6 

Length

Max length4
Median length4
Mean length3.5714286
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> 36
85.7%
0 6
 
14.3%

Length

2023-12-11T03:31:08.707520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:08.923569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
85.7%
0 6
 
14.3%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

급수시설구분명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
22 
상수도전용
20 

Length

Max length5
Median length4
Mean length4.4761905
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
52.4%
상수도전용 20
47.6%

Length

2023-12-11T03:31:09.141047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:09.344516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
52.4%
상수도전용 20
47.6%

총직원수
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
36 
0
6 

Length

Max length4
Median length4
Mean length3.5714286
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> 36
85.7%
0 6
 
14.3%

Length

2023-12-11T03:31:09.559895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:09.779285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
85.7%
0 6
 
14.3%

본사직원수
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
27 
<NA>
14 
1
 
1

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 27
64.3%
<NA> 14
33.3%
1 1
 
2.4%

Length

2023-12-11T03:31:09.998877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:10.210783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
64.3%
na 14
33.3%
1 1
 
2.4%

공장사무직직원수
Categorical

Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
20 
<NA>
11 
1
6 
2
4 
9
 
1

Length

Max length4
Median length1
Mean length1.7857143
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row0
2nd row2
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 20
47.6%
<NA> 11
26.2%
1 6
 
14.3%
2 4
 
9.5%
9 1
 
2.4%

Length

2023-12-11T03:31:10.497957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:10.803849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
47.6%
na 11
26.2%
1 6
 
14.3%
2 4
 
9.5%
9 1
 
2.4%

공장판매직직원수
Categorical

Distinct4
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
0
25 
<NA>
14 
1
 
2
5
 
1

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 25
59.5%
<NA> 14
33.3%
1 2
 
4.8%
5 1
 
2.4%

Length

2023-12-11T03:31:11.039793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:11.262138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
59.5%
na 14
33.3%
1 2
 
4.8%
5 1
 
2.4%

공장생산직직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)19.4%
Missing11
Missing (%)26.2%
Infinite0
Infinite (%)0.0%
Mean1.7419355
Minimum0
Maximum19
Zeros18
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:31:11.539745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.5
95-th percentile8
Maximum19
Range19
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation3.9155054
Coefficient of variation (CV)2.2477902
Kurtosis12.992714
Mean1.7419355
Median Absolute Deviation (MAD)0
Skewness3.4193815
Sum54
Variance15.331183
MonotonicityNot monotonic
2023-12-11T03:31:11.753412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 18
42.9%
1 5
 
11.9%
2 4
 
9.5%
6 2
 
4.8%
19 1
 
2.4%
10 1
 
2.4%
(Missing) 11
26.2%
ValueCountFrequency (%)
0 18
42.9%
1 5
 
11.9%
2 4
 
9.5%
6 2
 
4.8%
10 1
 
2.4%
19 1
 
2.4%
ValueCountFrequency (%)
19 1
 
2.4%
10 1
 
2.4%
6 2
 
4.8%
2 4
 
9.5%
1 5
 
11.9%
0 18
42.9%

건물소유구분명
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
29 
임대
9 
자가
4 

Length

Max length4
Median length4
Mean length3.3809524
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
69.0%
임대 9
 
21.4%
자가 4
 
9.5%

Length

2023-12-11T03:31:12.007624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:12.229766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
69.0%
임대 9
 
21.4%
자가 4
 
9.5%

보증액
Categorical

Distinct4
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
25 
0
15 
500000
 
1
13000000
 
1

Length

Max length8
Median length4
Mean length3.0714286
Min length1

Unique

Unique2 ?
Unique (%)4.8%

Sample

1st row<NA>
2nd row<NA>
3rd row500000
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 25
59.5%
0 15
35.7%
500000 1
 
2.4%
13000000 1
 
2.4%

Length

2023-12-11T03:31:12.486755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:12.745886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
59.5%
0 15
35.7%
500000 1
 
2.4%
13000000 1
 
2.4%

월세액
Categorical

Distinct4
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
25 
0
15 
250000
 
1
1300000
 
1

Length

Max length7
Median length4
Mean length3.047619
Min length1

Unique

Unique2 ?
Unique (%)4.8%

Sample

1st row<NA>
2nd row<NA>
3rd row250000
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 25
59.5%
0 15
35.7%
250000 1
 
2.4%
1300000 1
 
2.4%

Length

2023-12-11T03:31:13.022578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:31:13.266538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
59.5%
0 15
35.7%
250000 1
 
2.4%
1300000 1
 
2.4%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size174.0 B
False
42 
ValueCountFrequency (%)
False 42
100.0%
2023-12-11T03:31:13.442921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9238095
Minimum0
Maximum299.3
Zeros35
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-11T03:31:13.624825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile35.202
Maximum299.3
Range299.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation46.828129
Coefficient of variation (CV)4.7187654
Kurtosis37.969377
Mean9.9238095
Median Absolute Deviation (MAD)0
Skewness6.0606792
Sum416.8
Variance2192.8736
MonotonicityNot monotonic
2023-12-11T03:31:13.838026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 35
83.3%
299.3 1
 
2.4%
54.0 1
 
2.4%
6.46 1
 
2.4%
2.5 1
 
2.4%
7.5 1
 
2.4%
36.5 1
 
2.4%
10.54 1
 
2.4%
ValueCountFrequency (%)
0.0 35
83.3%
2.5 1
 
2.4%
6.46 1
 
2.4%
7.5 1
 
2.4%
10.54 1
 
2.4%
36.5 1
 
2.4%
54.0 1
 
2.4%
299.3 1
 
2.4%
ValueCountFrequency (%)
299.3 1
 
2.4%
54.0 1
 
2.4%
36.5 1
 
2.4%
10.54 1
 
2.4%
7.5 1
 
2.4%
6.46 1
 
2.4%
2.5 1
 
2.4%
0.0 35
83.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01식품첨가물제조업07_22_12_P34200003420000-108-2011-0000120111229<NA>3폐업2폐업20130906<NA><NA><NA>053 981 388629.00701807대구광역시 동구 불로동 1074-6번지대구광역시 동구 방천로6길 36 (불로동)41042매봉산야초건강원20120213102837I2018-08-31 23:59:59.0식품첨가물제조업347546.799156267516.161613식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
12식품첨가물제조업07_22_12_P34200003420000-108-2014-0000120141113<NA>3폐업2폐업20170731<NA><NA><NA>053 965 6581305.00701260대구광역시 동구 율암동 1103-13번지대구광역시 동구 매여로 62, 1층 (율암동)41065(주)프리나20170731092211I2018-08-31 23:59:59.0식품첨가물제조업354057.061461266430.044264식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA>0201임대<NA><NA>N0.0<NA><NA><NA>
23식품첨가물제조업07_22_12_P34300003430000-108-2011-0000220040705<NA>1영업/정상1영업<NA><NA><NA><NA>053 523758959.51703831대구광역시 서구 중리동 40-13번지대구광역시 서구 서대구로25길 19 (중리동)41833생림목초20140113104126I2018-08-31 23:59:59.0식품첨가물제조업340106.419865264328.378105식품첨가물제조업<NA><NA><NA><NA><NA><NA>0000<NA>500000250000N0.0<NA><NA><NA>
34식품첨가물제조업07_22_12_P34300003430000-108-2019-0000120190220<NA>1영업/정상1영업<NA><NA><NA><NA><NA>60.48703833대구광역시 서구 중리동 1066대구광역시 서구 국채보상로20길 32 (중리동)41841일지스타치20201104165418U2020-11-06 02:40:00.0식품첨가물제조업339071.996961263926.624081식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
45식품첨가물제조업07_22_12_P34300003430000-108-2019-0000220190926<NA>1영업/정상1영업<NA><NA><NA><NA><NA>494.00703833대구광역시 서구 중리동 905-10번지대구광역시 서구 와룡로73길 57-6 (중리동)41755뉴트리디언20190926175229I2019-09-28 02:22:39.0식품첨가물제조업338275.809658264083.230571식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N299.3<NA><NA><NA>
56식품첨가물제조업07_22_12_P34300003430000-108-2011-0000420091231<NA>3폐업2폐업20101201<NA><NA><NA>0535656597580.00703830대구광역시 서구 이현동 42-432번지 1층<NA><NA>(주)에듀커뮤니티20101202230409I2018-08-31 23:59:59.0식품첨가물제조업338792.591731264580.761583식품첨가물제조업<NA><NA><NA><NA><NA><NA>0000<NA>00N0.0<NA><NA><NA>
67식품첨가물제조업07_22_12_P34300003430000-108-2011-0000320060320<NA>3폐업2폐업20200619<NA><NA><NA>053 56526001,252.25703830대구광역시 서구 이현동 42-82번지대구광역시 서구 문화로 121 (이현동)41758감로바이오산업(주)20200618172638U2020-06-20 02:40:00.0식품첨가물제조업339525.522508264887.686661식품첨가물제조업<NA><NA><NA><NA><NA><NA>01019<NA><NA><NA>N54.0<NA><NA><NA>
78식품첨가물제조업07_22_12_P34300003430000-108-2011-0000119981111<NA>3폐업2폐업20071026<NA><NA><NA>0535671635.00703110대구광역시 서구 이현동 44-33번지<NA><NA>감로바이오산업20071228112953I2018-08-31 23:59:59.0식품첨가물제조업<NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
89식품첨가물제조업07_22_12_P34400003440000-108-2011-0000119990422<NA>3폐업2폐업20060612<NA><NA><NA><NA><NA><NA>대구광역시<NA><NA>삼진식품20060818222941I2018-08-31 23:59:59.0식품첨가물제조업<NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA>0000<NA>00N0.0<NA><NA><NA>
910식품첨가물제조업07_22_12_P34400003440000-108-2012-0000120120313<NA>3폐업2폐업20161124<NA><NA><NA>1566272366.49705800대구광역시 남구 대명동 2014-203번지대구광역시 남구 중앙대로48길 35-6, 1층 (대명동)42424미남메디칼20160526145651I2018-08-31 23:59:59.0식품첨가물제조업343831.4029262564.892455식품첨가물제조업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N6.46<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
3233식품첨가물제조업07_22_12_P34800003480000-108-2020-0000120200214<NA>1영업/정상1영업<NA><NA><NA><NA><NA>18.50711822대구광역시 달성군 하빈면 무등리 587-5대구광역시 달성군 하빈면 하빈로140길 62-5, 1층42901대광바이오20211210173449U2021-12-12 02:40:00.0식품첨가물제조업332256.882943269547.192353식품첨가물제조업00<NA><NA>상수도전용01101임대00N0.0<NA><NA><NA>
3334식품첨가물제조업07_22_12_P34800003480000-108-2020-0000220200721<NA>1영업/정상1영업<NA><NA><NA><NA>053 616 5171183.25711855대구광역시 달성군 논공읍 본리리 29-69대구광역시 달성군 논공읍 논공중앙로 40642983(주)피앤디코스켐20200721170231I2020-07-23 00:23:33.0식품첨가물제조업333265.664044250134.80573식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA><NA>9<NA>10자가<NA><NA>N0.0<NA><NA><NA>
3435식품첨가물제조업07_22_12_P34800003480000-108-2011-0000820070726<NA>1영업/정상1영업<NA><NA><NA><NA>053 592 066163.00711811대구광역시 달성군 다사읍 이천리 568-2번지대구광역시 달성군 다사읍 다사로71길 3942907동창C&F20160422161623I2018-08-31 23:59:59.0식품첨가물제조업332289.538416266670.09756식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
3536식품첨가물제조업07_22_12_P34800003480000-108-2018-0000120180306<NA>1영업/정상1영업<NA><NA><NA><NA>053 614 1331443.66711855대구광역시 달성군 논공읍 본리리 1189-10번지대구광역시 달성군 논공읍 논공로 63142981태성푸드20190708111912U2019-07-10 02:40:00.0식품첨가물제조업331549.895399249367.53852식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>자가<NA><NA>N10.54<NA><NA><NA>
3637식품첨가물제조업07_22_12_P34800003480000-108-2011-0000720030123<NA>3폐업2폐업20040914<NA><NA><NA>0536156904.00711843대구광역시 달성군 옥포면 교항리 1068번지<NA><NA>명성식품20060818222941I2018-08-31 23:59:59.0식품첨가물제조업330023.299301255804.872552식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
3738식품첨가물제조업07_22_12_P34800003480000-108-2011-0000620020103<NA>3폐업2폐업20041231<NA><NA><NA>0536100114<NA>711855대구광역시 달성군 논공읍 본리리<NA><NA>태경농산(주)20060818222941I2018-08-31 23:59:59.0식품첨가물제조업<NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA>0000<NA>00N0.0<NA><NA><NA>
3839식품첨가물제조업07_22_12_P34800003480000-108-2011-0000119890829<NA>3폐업2폐업20080625<NA><NA><NA>0536418493290.80711855대구광역시 달성군 논공읍 본리리 29-74번지<NA><NA>태경농산(주)20080625180001I2018-08-31 23:59:59.0식품첨가물제조업<NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00N0.0<NA><NA><NA>
3940식품첨가물제조업07_22_12_P34800003480000-108-2011-0000320021024<NA>1영업/정상1영업<NA><NA><NA><NA>053 767 3385118.50711864대구광역시 달성군 가창면 용계리 95-2번지 1층대구광역시 달성군 가창면 가창로216길 11 (1층)42934한솔푸드테크놀로지20160128191758I2018-08-31 23:59:59.0식품첨가물제조업346695.65185256884.837128식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA>0000<NA>00N0.0<NA><NA><NA>
4041식품첨가물제조업07_22_12_P34800003480000-108-2011-0000219970410<NA>1영업/정상1영업<NA><NA><NA><NA>053 616 4454396.00711852대구광역시 달성군 논공읍 북리 1-59대구광역시 달성군 논공읍 논공중앙로54길 3842983유청식품20200921112048U2020-09-23 02:40:00.0식품첨가물제조업332506.529811249041.859159식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA>0116자가00N0.0<NA><NA><NA>
4142식품첨가물제조업07_22_12_P34800003480000-108-2011-0000420050323<NA>3폐업2폐업20060526<NA><NA><NA>0536340708150.37711843대구광역시 달성군 옥포면 교항리 1068번지<NA><NA>오메가화학20060818222941I2018-08-31 23:59:59.0식품첨가물제조업330023.299301255804.872552식품첨가물제조업<NA><NA><NA><NA><NA><NA>0002<NA><NA><NA>N0.0<NA><NA><NA>