Overview

Dataset statistics

Number of variables47
Number of observations44
Missing cells467
Missing cells (%)22.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.6 KiB
Average record size in memory409.0 B

Variable types

Numeric11
Categorical19
Text6
Unsupported9
DateTime1
Boolean1

Dataset

Description22년09월_6270000_대구광역시_07_22_12_P_식품첨가물제조업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096630&dataSetDetailId=DDI_0000096646&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 44 (100.0%) missing valuesMissing
폐업일자 has 21 (47.7%) missing valuesMissing
휴업시작일자 has 44 (100.0%) missing valuesMissing
휴업종료일자 has 44 (100.0%) missing valuesMissing
재개업일자 has 44 (100.0%) missing valuesMissing
소재지전화 has 10 (22.7%) missing valuesMissing
소재지면적 has 2 (4.5%) missing valuesMissing
소재지우편번호 has 1 (2.3%) missing valuesMissing
도로명전체주소 has 8 (18.2%) missing valuesMissing
도로명우편번호 has 8 (18.2%) missing valuesMissing
좌표정보(X) has 5 (11.4%) missing valuesMissing
좌표정보(Y) has 5 (11.4%) missing valuesMissing
영업장주변구분명 has 44 (100.0%) missing valuesMissing
등급구분명 has 44 (100.0%) missing valuesMissing
공장생산직직원수 has 11 (25.0%) missing valuesMissing
전통업소지정번호 has 44 (100.0%) missing valuesMissing
전통업소주된음식 has 44 (100.0%) missing valuesMissing
홈페이지 has 44 (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 19 (43.2%) zerosZeros
시설총규모 has 37 (84.1%) zerosZeros

Reproduction

Analysis started2023-12-10 18:02:37.940429
Analysis finished2023-12-10 18:02:39.025573
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T03:02:39.201856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.15
Q111.75
median22.5
Q333.25
95-th percentile41.85
Maximum44
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.845233
Coefficient of variation (CV)0.57089923
Kurtosis-1.2
Mean22.5
Median Absolute Deviation (MAD)11
Skewness0
Sum990
Variance165
MonotonicityStrictly increasing
2023-12-11T03:02:39.445327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 1
 
2.3%
24 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
33 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
44 1
2.3%
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
식품첨가물제조업
44 

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 44
100.0%

Length

2023-12-11T03:02:39.655931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:02:39.823534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품첨가물제조업 44
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
07_22_12_P
44 

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 44
100.0%

Length

2023-12-11T03:02:39.996411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:02:40.159811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_12_p 44
100.0%

개방자치단체코드
Real number (ℝ)

Distinct7
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3459318.2
Minimum3420000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T03:02:40.293948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3420000
5-th percentile3430000
Q13447500
median3470000
Q33480000
95-th percentile3480000
Maximum3480000
Range60000
Interquartile range (IQR)32500

Descriptive statistics

Standard deviation19576.65
Coefficient of variation (CV)0.0056591066
Kurtosis-1.0301694
Mean3459318.2
Median Absolute Deviation (MAD)10000
Skewness-0.58216556
Sum1.5221 × 108
Variance3.8324524 × 108
MonotonicityIncreasing
2023-12-11T03:02:40.475752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3470000 12
27.3%
3480000 12
27.3%
3450000 7
15.9%
3430000 6
13.6%
3440000 3
 
6.8%
3420000 2
 
4.5%
3460000 2
 
4.5%
ValueCountFrequency (%)
3420000 2
 
4.5%
3430000 6
13.6%
3440000 3
 
6.8%
3450000 7
15.9%
3460000 2
 
4.5%
3470000 12
27.3%
3480000 12
27.3%
ValueCountFrequency (%)
3480000 12
27.3%
3470000 12
27.3%
3460000 2
 
4.5%
3450000 7
15.9%
3440000 3
 
6.8%
3430000 6
13.6%
3420000 2
 
4.5%

관리번호
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-11T03:02:40.843831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters968
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

Unique44 ?
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
 
2.3%
3420000-108-2014-00001 1
 
2.3%
3480000-108-2011-00008 1
 
2.3%
3470000-108-2018-00001 1
 
2.3%
3470000-108-2020-00001 1
 
2.3%
3470000-108-2016-00001 1
 
2.3%
3470000-108-2015-00001 1
 
2.3%
3470000-108-2014-00002 1
 
2.3%
3470000-108-2012-00001 1
 
2.3%
3470000-108-2011-00002 1
 
2.3%
Other values (34) 34
77.3%
2023-12-11T03:02:41.406495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 444
45.9%
- 132
 
13.6%
1 127
 
13.1%
2 71
 
7.3%
8 59
 
6.1%
3 53
 
5.5%
4 52
 
5.4%
7 13
 
1.3%
5 9
 
0.9%
6 5
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 836
86.4%
Dash Punctuation 132
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 444
53.1%
1 127
 
15.2%
2 71
 
8.5%
8 59
 
7.1%
3 53
 
6.3%
4 52
 
6.2%
7 13
 
1.6%
5 9
 
1.1%
6 5
 
0.6%
9 3
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 444
45.9%
- 132
 
13.6%
1 127
 
13.1%
2 71
 
7.3%
8 59
 
6.1%
3 53
 
5.5%
4 52
 
5.4%
7 13
 
1.3%
5 9
 
0.9%
6 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 444
45.9%
- 132
 
13.6%
1 127
 
13.1%
2 71
 
7.3%
8 59
 
6.1%
3 53
 
5.5%
4 52
 
5.4%
7 13
 
1.3%
5 9
 
0.9%
6 5
 
0.5%

인허가일자
Real number (ℝ)

Distinct41
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20121328
Minimum19890829
Maximum20220818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T03:02:41.680322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19890829
5-th percentile19982508
Q120068124
median20135669
Q320193248
95-th percentile20219281
Maximum20220818
Range329989
Interquartile range (IQR)125123.5

Descriptive statistics

Standard deviation81413.585
Coefficient of variation (CV)0.0040461338
Kurtosis-0.037012675
Mean20121328
Median Absolute Deviation (MAD)64846
Skewness-0.72406069
Sum8.8533843 × 108
Variance6.6281719 × 109
MonotonicityNot monotonic
2023-12-11T03:02:41.942054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
20141113 2
 
4.5%
20070726 2
 
4.5%
20120313 2
 
4.5%
20190704 1
 
2.3%
20180509 1
 
2.3%
20200624 1
 
2.3%
20160615 1
 
2.3%
20150701 1
 
2.3%
20120921 1
 
2.3%
20070920 1
 
2.3%
Other values (31) 31
70.5%
ValueCountFrequency (%)
19890829 1
2.3%
19970410 1
2.3%
19981111 1
2.3%
19990422 1
2.3%
20020103 1
2.3%
20021024 1
2.3%
20030123 1
2.3%
20040705 1
2.3%
20050120 1
2.3%
20050323 1
2.3%
ValueCountFrequency (%)
20220818 1
2.3%
20220721 1
2.3%
20220705 1
2.3%
20211210 1
2.3%
20211118 1
2.3%
20210609 1
2.3%
20210205 1
2.3%
20200721 1
2.3%
20200624 1
2.3%
20200305 1
2.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
3
23 
1
21 

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
52.3%
1 21
47.7%

Length

2023-12-11T03:02:42.187896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:02:42.383724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 23
52.3%
1 21
47.7%

영업상태명
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
폐업
23 
영업/정상
21 

Length

Max length5
Median length2
Mean length3.4318182
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
52.3%
영업/정상 21
47.7%

Length

2023-12-11T03:02:42.612502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:02:42.811700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 23
52.3%
영업/정상 21
47.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
2
23 
1
21 

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
52.3%
1 21
47.7%

Length

2023-12-11T03:02:43.027397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:02:43.212464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 23
52.3%
1 21
47.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
폐업
23 
영업
21 

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
52.3%
영업 21
47.7%

Length

2023-12-11T03:02:43.520090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:02:43.706275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 23
52.3%
영업 21
47.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)100.0%
Missing21
Missing (%)47.7%
Infinite0
Infinite (%)0.0%
Mean20132934
Minimum20040914
Maximum20211115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T03:02:43.918351image/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
2023-12-11T03:02:44.181919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20170731 1
 
2.3%
20040914 1
 
2.3%
20080625 1
 
2.3%
20060526 1
 
2.3%
20041231 1
 
2.3%
20131104 1
 
2.3%
20110727 1
 
2.3%
20131106 1
 
2.3%
20160203 1
 
2.3%
20171106 1
 
2.3%
Other values (13) 13
29.5%
(Missing) 21
47.7%
ValueCountFrequency (%)
20040914 1
2.3%
20041231 1
2.3%
20060526 1
2.3%
20060612 1
2.3%
20071026 1
2.3%
20080625 1
2.3%
20101201 1
2.3%
20110126 1
2.3%
20110727 1
2.3%
20130906 1
2.3%
ValueCountFrequency (%)
20211115 1
2.3%
20200619 1
2.3%
20200110 1
2.3%
20191209 1
2.3%
20190129 1
2.3%
20180328 1
2.3%
20171106 1
2.3%
20170731 1
2.3%
20161124 1
2.3%
20160203 1
2.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

소재지전화
Text

MISSING 

Distinct32
Distinct (%)94.1%
Missing10
Missing (%)22.7%
Memory size484.0 B
2023-12-11T03:02:44.566023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11.5
Mean length10.823529
Min length8

Characters and Unicode

Total characters368
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

Unique30 ?
Unique (%)88.2%

Sample

1st row053 981 3886
2nd row053 965 6581
3rd row053 5237589
4th row0535656597
5th row053 5652600
ValueCountFrequency (%)
053 15
22.4%
15662723 3
 
4.5%
616 3
 
4.5%
592 2
 
3.0%
0661 2
 
3.0%
3385 1
 
1.5%
0536156904 1
 
1.5%
0536418493 1
 
1.5%
0536340708 1
 
1.5%
0432 1
 
1.5%
Other values (37) 37
55.2%
2023-12-11T03:02:45.282160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 59
16.0%
5 56
15.2%
3 53
14.4%
1 38
10.3%
6 38
10.3%
35
9.5%
2 22
 
6.0%
4 19
 
5.2%
7 18
 
4.9%
8 16
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 333
90.5%
Space Separator 35
 
9.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 59
17.7%
5 56
16.8%
3 53
15.9%
1 38
11.4%
6 38
11.4%
2 22
 
6.6%
4 19
 
5.7%
7 18
 
5.4%
8 16
 
4.8%
9 14
 
4.2%
Space Separator
ValueCountFrequency (%)
35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 368
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 59
16.0%
5 56
15.2%
3 53
14.4%
1 38
10.3%
6 38
10.3%
35
9.5%
2 22
 
6.0%
4 19
 
5.2%
7 18
 
4.9%
8 16
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 59
16.0%
5 56
15.2%
3 53
14.4%
1 38
10.3%
6 38
10.3%
35
9.5%
2 22
 
6.0%
4 19
 
5.2%
7 18
 
4.9%
8 16
 
4.3%

소재지면적
Text

MISSING 

Distinct40
Distinct (%)95.2%
Missing2
Missing (%)4.5%
Memory size484.0 B
2023-12-11T03:02:46.116944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.3809524
Min length3

Characters and Unicode

Total characters226
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 (%)90.5%

Sample

1st row29.00
2nd row305.00
3rd row59.51
4th row60.48
5th row494.00
ValueCountFrequency (%)
00 2
 
4.8%
112.00 2
 
4.8%
556.80 1
 
2.4%
29.00 1
 
2.4%
63.00 1
 
2.4%
59.46 1
 
2.4%
61.20 1
 
2.4%
51.00 1
 
2.4%
152.10 1
 
2.4%
50.00 1
 
2.4%
Other values (30) 30
71.4%
2023-12-11T03:02:46.814018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 52
23.0%
. 42
18.6%
1 24
10.6%
5 21
9.3%
2 16
 
7.1%
6 15
 
6.6%
8 14
 
6.2%
9 12
 
5.3%
3 11
 
4.9%
4 11
 
4.9%
Other values (2) 8
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 183
81.0%
Other Punctuation 43
 
19.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 52
28.4%
1 24
13.1%
5 21
11.5%
2 16
 
8.7%
6 15
 
8.2%
8 14
 
7.7%
9 12
 
6.6%
3 11
 
6.0%
4 11
 
6.0%
7 7
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 42
97.7%
, 1
 
2.3%

Most occurring scripts

ValueCountFrequency (%)
Common 226
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 52
23.0%
. 42
18.6%
1 24
10.6%
5 21
9.3%
2 16
 
7.1%
6 15
 
6.6%
8 14
 
6.2%
9 12
 
5.3%
3 11
 
4.9%
4 11
 
4.9%
Other values (2) 8
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 226
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 52
23.0%
. 42
18.6%
1 24
10.6%
5 21
9.3%
2 16
 
7.1%
6 15
 
6.6%
8 14
 
6.2%
9 12
 
5.3%
3 11
 
4.9%
4 11
 
4.9%
Other values (2) 8
 
3.5%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)62.8%
Missing1
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean706281.63
Minimum701260
Maximum711864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T03:02:47.067146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum701260
5-th percentile702116
Q1703830
median704838
Q3711816.5
95-th percentile711855
Maximum711864
Range10604
Interquartile range (IQR)7986.5

Descriptive statistics

Standard deviation3690.8371
Coefficient of variation (CV)0.00522573
Kurtosis-1.145209
Mean706281.63
Median Absolute Deviation (MAD)1986
Skewness0.68942609
Sum30370110
Variance13622279
MonotonicityNot monotonic
2023-12-11T03:02:47.320809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
711855 6
 
13.6%
704833 3
 
6.8%
704900 3
 
6.8%
706848 2
 
4.5%
703833 2
 
4.5%
703830 2
 
4.5%
711843 2
 
4.5%
702800 2
 
4.5%
704801 2
 
4.5%
704920 2
 
4.5%
Other values (17) 17
38.6%
ValueCountFrequency (%)
701260 1
2.3%
701807 1
2.3%
702040 1
2.3%
702800 2
4.5%
702805 1
2.3%
702825 1
2.3%
702852 1
2.3%
702862 1
2.3%
703110 1
2.3%
703830 2
4.5%
ValueCountFrequency (%)
711864 1
 
2.3%
711855 6
13.6%
711852 1
 
2.3%
711843 2
 
4.5%
711822 1
 
2.3%
711811 1
 
2.3%
706848 2
 
4.5%
705826 1
 
2.3%
705800 1
 
2.3%
704920 2
 
4.5%

소재지전체주소
Text

Distinct41
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-11T03:02:47.808038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length25.5
Mean length22.295455
Min length7

Characters and Unicode

Total characters981
Distinct characters77
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

Unique38 ?
Unique (%)86.4%

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 44
23.4%
달성군 12
 
6.4%
달서구 12
 
6.4%
북구 7
 
3.7%
논공읍 7
 
3.7%
본리리 6
 
3.2%
서구 6
 
3.2%
월암동 3
 
1.6%
이현동 3
 
1.6%
갈산동 3
 
1.6%
Other values (70) 85
45.2%
2023-12-11T03:02:48.593281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
19.3%
구 76
 
7.7%
대 49
 
5.0%
1 48
 
4.9%
시 44
 
4.5%
역 44
 
4.5%
광 44
 
4.5%
- 36
 
3.7%
동 33
 
3.4%
지 28
 
2.9%
Other values (67) 390
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 561
57.2%
Decimal Number 195
 
19.9%
Space Separator 189
 
19.3%
Dash Punctuation 36
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 76
13.5%
대 49
 
8.7%
시 44
 
7.8%
역 44
 
7.8%
광 44
 
7.8%
동 33
 
5.9%
지 28
 
5.0%
번 28
 
5.0%
달 24
 
4.3%
리 22
 
3.9%
Other values (55) 169
30.1%
Decimal Number
ValueCountFrequency (%)
1 48
24.6%
2 28
14.4%
0 18
 
9.2%
3 17
 
8.7%
8 17
 
8.7%
5 16
 
8.2%
9 15
 
7.7%
7 14
 
7.2%
4 12
 
6.2%
6 10
 
5.1%
Space Separator
ValueCountFrequency (%)
189
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 561
57.2%
Common 420
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 76
13.5%
대 49
 
8.7%
시 44
 
7.8%
역 44
 
7.8%
광 44
 
7.8%
동 33
 
5.9%
지 28
 
5.0%
번 28
 
5.0%
달 24
 
4.3%
리 22
 
3.9%
Other values (55) 169
30.1%
Common
ValueCountFrequency (%)
189
45.0%
1 48
 
11.4%
- 36
 
8.6%
2 28
 
6.7%
0 18
 
4.3%
3 17
 
4.0%
8 17
 
4.0%
5 16
 
3.8%
9 15
 
3.6%
7 14
 
3.3%
Other values (2) 22
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 561
57.2%
ASCII 420
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
45.0%
1 48
 
11.4%
- 36
 
8.6%
2 28
 
6.7%
0 18
 
4.3%
3 17
 
4.0%
8 17
 
4.0%
5 16
 
3.8%
9 15
 
3.6%
7 14
 
3.3%
Other values (2) 22
 
5.2%
Hangul
ValueCountFrequency (%)
구 76
13.5%
대 49
 
8.7%
시 44
 
7.8%
역 44
 
7.8%
광 44
 
7.8%
동 33
 
5.9%
지 28
 
5.0%
번 28
 
5.0%
달 24
 
4.3%
리 22
 
3.9%
Other values (55) 169
30.1%

도로명전체주소
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing8
Missing (%)18.2%
Memory size484.0 B
2023-12-11T03:02:49.096255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length32
Mean length27.333333
Min length21

Characters and Unicode

Total characters984
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

Unique36 ?
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 36
 
17.7%
1층 14
 
6.9%
달서구 11
 
5.4%
달성군 8
 
3.9%
북구 7
 
3.4%
논공읍 5
 
2.5%
서구 4
 
2.0%
갈산동 3
 
1.5%
21 3
 
1.5%
중리동 3
 
1.5%
Other values (91) 109
53.7%
2023-12-11T03:02:49.877012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
167
 
17.0%
구 68
 
6.9%
대 46
 
4.7%
1 38
 
3.9%
로 37
 
3.8%
역 36
 
3.7%
광 36
 
3.7%
시 36
 
3.7%
동 35
 
3.6%
) 29
 
2.9%
Other values (82) 456
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 580
58.9%
Space Separator 167
 
17.0%
Decimal Number 154
 
15.7%
Close Punctuation 29
 
2.9%
Open Punctuation 29
 
2.9%
Other Punctuation 19
 
1.9%
Dash Punctuation 4
 
0.4%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 68
 
11.7%
대 46
 
7.9%
로 37
 
6.4%
역 36
 
6.2%
광 36
 
6.2%
시 36
 
6.2%
동 35
 
6.0%
길 27
 
4.7%
서 27
 
4.7%
달 20
 
3.4%
Other values (66) 212
36.6%
Decimal Number
ValueCountFrequency (%)
1 38
24.7%
2 24
15.6%
5 23
14.9%
6 17
11.0%
3 15
 
9.7%
7 8
 
5.2%
4 8
 
5.2%
0 8
 
5.2%
8 7
 
4.5%
9 6
 
3.9%
Space Separator
ValueCountFrequency (%)
167
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 580
58.9%
Common 402
40.9%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 68
 
11.7%
대 46
 
7.9%
로 37
 
6.4%
역 36
 
6.2%
광 36
 
6.2%
시 36
 
6.2%
동 35
 
6.0%
길 27
 
4.7%
서 27
 
4.7%
달 20
 
3.4%
Other values (66) 212
36.6%
Common
ValueCountFrequency (%)
167
41.5%
1 38
 
9.5%
) 29
 
7.2%
( 29
 
7.2%
2 24
 
6.0%
5 23
 
5.7%
, 19
 
4.7%
6 17
 
4.2%
3 15
 
3.7%
7 8
 
2.0%
Other values (5) 33
 
8.2%
Latin
ValueCountFrequency (%)
D 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 580
58.9%
ASCII 404
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
167
41.3%
1 38
 
9.4%
) 29
 
7.2%
( 29
 
7.2%
2 24
 
5.9%
5 23
 
5.7%
, 19
 
4.7%
6 17
 
4.2%
3 15
 
3.7%
7 8
 
2.0%
Other values (6) 35
 
8.7%
Hangul
ValueCountFrequency (%)
구 68
 
11.7%
대 46
 
7.9%
로 37
 
6.4%
역 36
 
6.2%
광 36
 
6.2%
시 36
 
6.2%
동 35
 
6.0%
길 27
 
4.7%
서 27
 
4.7%
달 20
 
3.4%
Other values (66) 212
36.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)86.1%
Missing8
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean42301.333
Minimum41042
Maximum42983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T03:02:50.135154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41042
5-th percentile41370.25
Q141711.25
median42699.5
Q342748.75
95-th percentile42983
Maximum42983
Range1941
Interquartile range (IQR)1037.5

Descriptive statistics

Standard deviation626.80428
Coefficient of variation (CV)0.014817601
Kurtosis-1.1849119
Mean42301.333
Median Absolute Deviation (MAD)283
Skewness-0.56636454
Sum1522848
Variance392883.6
MonotonicityNot monotonic
2023-12-11T03:02:50.375805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
42983 3
 
6.8%
42230 2
 
4.5%
42721 2
 
4.5%
42702 2
 
4.5%
41758 1
 
2.3%
42704 1
 
2.3%
42982 1
 
2.3%
42934 1
 
2.3%
42981 1
 
2.3%
42901 1
 
2.3%
Other values (21) 21
47.7%
(Missing) 8
 
18.2%
ValueCountFrequency (%)
41042 1
2.3%
41065 1
2.3%
41472 1
2.3%
41485 1
2.3%
41512 1
2.3%
41521 1
2.3%
41546 1
2.3%
41572 1
2.3%
41580 1
2.3%
41755 1
2.3%
ValueCountFrequency (%)
42983 3
6.8%
42982 1
 
2.3%
42981 1
 
2.3%
42934 1
 
2.3%
42907 1
 
2.3%
42901 1
 
2.3%
42769 1
 
2.3%
42742 1
 
2.3%
42721 2
4.5%
42720 1
 
2.3%

사업장명
Text

Distinct39
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-11T03:02:50.794778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.0909091
Min length2

Characters and Unicode

Total characters268
Distinct characters124
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

Unique35 ?
Unique (%)79.5%

Sample

1st row매봉산야초건강원
2nd row(주)프리나
3rd row생림목초
4th row일지스타치
5th row뉴트리디언
ValueCountFrequency (%)
주)자숨 3
 
6.4%
태경농산(주 2
 
4.3%
미남메디칼 2
 
4.3%
주식회사 2
 
4.3%
동창c&f 2
 
4.3%
오메가화학 1
 
2.1%
미성 1
 
2.1%
모든헬스케어 1
 
2.1%
주)에코앤파워 1
 
2.1%
매봉산야초건강원 1
 
2.1%
Other values (31) 31
66.0%
2023-12-11T03:02:51.412510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 19
 
7.1%
( 17
 
6.3%
) 17
 
6.3%
산 7
 
2.6%
식 6
 
2.2%
이 6
 
2.2%
오 5
 
1.9%
성 5
 
1.9%
디 4
 
1.5%
품 4
 
1.5%
Other values (114) 178
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 225
84.0%
Open Punctuation 17
 
6.3%
Close Punctuation 17
 
6.3%
Uppercase Letter 4
 
1.5%
Space Separator 3
 
1.1%
Other Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 19
 
8.4%
산 7
 
3.1%
식 6
 
2.7%
이 6
 
2.7%
오 5
 
2.2%
성 5
 
2.2%
디 4
 
1.8%
품 4
 
1.8%
바 4
 
1.8%
태 4
 
1.8%
Other values (108) 161
71.6%
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 225
84.0%
Common 39
 
14.6%
Latin 4
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 19
 
8.4%
산 7
 
3.1%
식 6
 
2.7%
이 6
 
2.7%
오 5
 
2.2%
성 5
 
2.2%
디 4
 
1.8%
품 4
 
1.8%
바 4
 
1.8%
태 4
 
1.8%
Other values (108) 161
71.6%
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 225
84.0%
ASCII 43
 
16.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 19
 
8.4%
산 7
 
3.1%
식 6
 
2.7%
이 6
 
2.7%
오 5
 
2.2%
성 5
 
2.2%
디 4
 
1.8%
품 4
 
1.8%
바 4
 
1.8%
태 4
 
1.8%
Other values (108) 161
71.6%
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)

Distinct41
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0164124 × 1013
Minimum2.0060818 × 1013
Maximum2.0220915 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T03:02:51.659395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0060818 × 1013
5-th percentile2.0060818 × 1013
Q12.0128065 × 1013
median2.0185319 × 1013
Q32.0200967 × 1013
95-th percentile2.0220724 × 1013
Maximum2.0220915 × 1013
Range1.6009697 × 1011
Interquartile range (IQR)7.2902019 × 1010

Descriptive statistics

Standard deviation5.1050087 × 1010
Coefficient of variation (CV)0.0025317285
Kurtosis-0.4670059
Mean2.0164124 × 1013
Median Absolute Deviation (MAD)2.5549955 × 1010
Skewness-0.87100139
Sum8.8722144 × 1014
Variance2.6061113 × 1021
MonotonicityNot monotonic
2023-12-11T03:02:51.950325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
20060818222941 4
 
9.1%
20160422161623 1
 
2.3%
20180509171709 1
 
2.3%
20200625162324 1
 
2.3%
20180328145458 1
 
2.3%
20171106143720 1
 
2.3%
20141113125327 1
 
2.3%
20121011115222 1
 
2.3%
20110113112657 1
 
2.3%
20120125113609 1
 
2.3%
Other values (31) 31
70.5%
ValueCountFrequency (%)
20060818222941 4
9.1%
20071228112953 1
 
2.3%
20080625180001 1
 
2.3%
20101202230409 1
 
2.3%
20110113112657 1
 
2.3%
20120125113609 1
 
2.3%
20120213102837 1
 
2.3%
20121011115222 1
 
2.3%
20130416103429 1
 
2.3%
20140113104126 1
 
2.3%
ValueCountFrequency (%)
20220915190306 1
2.3%
20220818112126 1
2.3%
20220727102248 1
2.3%
20220708115927 1
2.3%
20211210173449 1
2.3%
20211210165951 1
2.3%
20211118103446 1
2.3%
20211115094821 1
2.3%
20210623100751 1
2.3%
20210205104753 1
2.3%

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
I
30 
U
14 

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 30
68.2%
U 14
31.8%

Length

2023-12-11T03:02:52.198018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:02:52.408229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 30
68.2%
u 14
31.8%

데이터갱신일자
Date

Distinct23
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2018-08-31 23:59:59
Maximum2022-09-17 02:40:00
2023-12-11T03:02:52.555789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:02:52.752029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
식품첨가물제조업
44 

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 44
100.0%

Length

2023-12-11T03:02:52.969762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:02:53.172985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품첨가물제조업 44
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)92.3%
Missing5
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean338846.26
Minimum330023.3
Maximum354057.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T03:02:53.365647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330023.3
5-th percentile331397.24
Q1335248.17
median338275.81
Q3343935.6
95-th percentile346939.25
Maximum354057.06
Range24033.762
Interquartile range (IQR)8687.4365

Descriptive statistics

Standard deviation5774.1675
Coefficient of variation (CV)0.017040671
Kurtosis-0.35264021
Mean338846.26
Median Absolute Deviation (MAD)5010.1456
Skewness0.51376641
Sum13215004
Variance33341010
MonotonicityNot monotonic
2023-12-11T03:02:53.617861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
330023.299301 2
 
4.5%
345860.31498 2
 
4.5%
336398.016153 2
 
4.5%
332289.538416 1
 
2.3%
335324.183515 1
 
2.3%
339604.060667 1
 
2.3%
335504.298406 1
 
2.3%
335334.429366 1
 
2.3%
335660.262521 1
 
2.3%
333265.664044 1
 
2.3%
Other values (26) 26
59.1%
(Missing) 5
 
11.4%
ValueCountFrequency (%)
330023.299301 2
4.5%
331549.895399 1
2.3%
332256.882943 1
2.3%
332289.538416 1
2.3%
332506.529811 1
2.3%
332716.315723 1
2.3%
332803.386147 1
2.3%
333265.664044 1
2.3%
335172.148565 1
2.3%
335324.183515 1
2.3%
ValueCountFrequency (%)
354057.061461 1
2.3%
347546.799156 1
2.3%
346871.742988 1
2.3%
346717.496771 1
2.3%
346695.65185 1
2.3%
345860.31498 2
4.5%
344778.061422 1
2.3%
344360.92096 1
2.3%
344039.802161 1
2.3%
343831.4029 1
2.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)92.3%
Missing5
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean261318.33
Minimum249041.86
Maximum271660.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T03:02:53.884871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum249041.86
5-th percentile249360.84
Q1258731.02
median261758.91
Q3265718.43
95-th percentile269247.53
Maximum271660.6
Range22618.745
Interquartile range (IQR)6987.4022

Descriptive statistics

Standard deviation6034.9269
Coefficient of variation (CV)0.023094159
Kurtosis-0.22373742
Mean261318.33
Median Absolute Deviation (MAD)3525.6592
Skewness-0.57826716
Sum10191415
Variance36420343
MonotonicityNot monotonic
2023-12-11T03:02:54.123598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
255804.872552 2
 
4.5%
258731.024724 2
 
4.5%
260311.428495 2
 
4.5%
266670.09756 1
 
2.3%
259383.277395 1
 
2.3%
259439.182384 1
 
2.3%
261606.568343 1
 
2.3%
261589.453297 1
 
2.3%
258963.271546 1
 
2.3%
250134.80573 1
 
2.3%
Other values (26) 26
59.1%
(Missing) 5
 
11.4%
ValueCountFrequency (%)
249041.859159 1
2.3%
249300.581566 1
2.3%
249367.53852 1
2.3%
250052.269534 1
2.3%
250134.80573 1
2.3%
255804.872552 2
4.5%
256884.837128 1
2.3%
257380.344146 1
2.3%
258731.024724 2
4.5%
258963.271546 1
2.3%
ValueCountFrequency (%)
271660.604411 1
2.3%
269547.192353 1
2.3%
269214.234995 1
2.3%
269165.84039 1
2.3%
268503.372847 1
2.3%
267516.161613 1
2.3%
267419.098375 1
2.3%
266670.09756 1
2.3%
266430.044264 1
2.3%
266152.28177 1
2.3%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
식품첨가물제조업
44 

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 44
100.0%

Length

2023-12-11T03:02:54.354111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:02:54.567677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품첨가물제조업 44
100.0%

남성종사자수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
36 
0
8 

Length

Max length4
Median length4
Mean length3.4545455
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
81.8%
0 8
 
18.2%

Length

2023-12-11T03:02:54.787703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:02:55.007007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
81.8%
0 8
 
18.2%

여성종사자수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
36 
0
8 

Length

Max length4
Median length4
Mean length3.4545455
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
81.8%
0 8
 
18.2%

Length

2023-12-11T03:02:55.231322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:02:55.452355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
81.8%
0 8
 
18.2%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

급수시설구분명
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
23 
상수도전용
20 
간이상수도
 
1

Length

Max length5
Median length4
Mean length4.4772727
Min length4

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
52.3%
상수도전용 20
45.5%
간이상수도 1
 
2.3%

Length

2023-12-11T03:02:55.656664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:02:55.860976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
52.3%
상수도전용 20
45.5%
간이상수도 1
 
2.3%

총직원수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
36 
0
8 

Length

Max length4
Median length4
Mean length3.4545455
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
81.8%
0 8
 
18.2%

Length

2023-12-11T03:02:56.092532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:02:56.268080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
81.8%
0 8
 
18.2%

본사직원수
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
29 
<NA>
14 
1
 
1

Length

Max length4
Median length1
Mean length1.9545455
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
65.9%
<NA> 14
31.8%
1 1
 
2.3%

Length

2023-12-11T03:02:56.463712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:02:56.680539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
65.9%
na 14
31.8%
1 1
 
2.3%

공장사무직직원수
Categorical

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
21 
<NA>
11 
1
7 
2
4 
9
 
1

Length

Max length4
Median length1
Mean length1.75
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 21
47.7%
<NA> 11
25.0%
1 7
 
15.9%
2 4
 
9.1%
9 1
 
2.3%

Length

2023-12-11T03:02:56.948663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:02:57.163503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
47.7%
na 11
25.0%
1 7
 
15.9%
2 4
 
9.1%
9 1
 
2.3%

공장판매직직원수
Categorical

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
0
27 
<NA>
14 
1
 
2
5
 
1

Length

Max length4
Median length1
Mean length1.9545455
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 27
61.4%
<NA> 14
31.8%
1 2
 
4.5%
5 1
 
2.3%

Length

2023-12-11T03:02:57.401914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:02:57.661091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
61.4%
na 14
31.8%
1 2
 
4.5%
5 1
 
2.3%

공장생산직직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)21.2%
Missing11
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean1.7575758
Minimum0
Maximum19
Zeros19
Zeros (%)43.2%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T03:02:57.832970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7.6
Maximum19
Range19
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.8245122
Coefficient of variation (CV)2.1760156
Kurtosis13.236738
Mean1.7575758
Median Absolute Deviation (MAD)0
Skewness3.4162913
Sum58
Variance14.626894
MonotonicityNot monotonic
2023-12-11T03:02:58.041533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 19
43.2%
1 5
 
11.4%
2 4
 
9.1%
6 2
 
4.5%
19 1
 
2.3%
4 1
 
2.3%
10 1
 
2.3%
(Missing) 11
25.0%
ValueCountFrequency (%)
0 19
43.2%
1 5
 
11.4%
2 4
 
9.1%
4 1
 
2.3%
6 2
 
4.5%
10 1
 
2.3%
19 1
 
2.3%
ValueCountFrequency (%)
19 1
 
2.3%
10 1
 
2.3%
6 2
 
4.5%
4 1
 
2.3%
2 4
 
9.1%
1 5
 
11.4%
0 19
43.2%

건물소유구분명
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
29 
임대
10 
자가
5 

Length

Max length4
Median length4
Mean length3.3181818
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
65.9%
임대 10
 
22.7%
자가 5
 
11.4%

Length

2023-12-11T03:02:58.294437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:02:58.717724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
65.9%
임대 10
 
22.7%
자가 5
 
11.4%

보증액
Categorical

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
25 
0
17 
500000
 
1
13000000
 
1

Length

Max length8
Median length4
Mean length2.9772727
Min length1

Unique

Unique2 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
56.8%
0 17
38.6%
500000 1
 
2.3%
13000000 1
 
2.3%

Length

2023-12-11T03:02:58.974202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:02:59.267286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
56.8%
0 17
38.6%
500000 1
 
2.3%
13000000 1
 
2.3%

월세액
Categorical

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
25 
0
17 
250000
 
1
1300000
 
1

Length

Max length7
Median length4
Mean length2.9545455
Min length1

Unique

Unique2 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
56.8%
0 17
38.6%
250000 1
 
2.3%
1300000 1
 
2.3%

Length

2023-12-11T03:02:59.500526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:02:59.730439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
56.8%
0 17
38.6%
250000 1
 
2.3%
1300000 1
 
2.3%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size176.0 B
False
44 
ValueCountFrequency (%)
False 44
100.0%
2023-12-11T03:02:59.935086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4727273
Minimum0
Maximum299.3
Zeros37
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-11T03:03:00.170350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile32.606
Maximum299.3
Range299.3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.773921
Coefficient of variation (CV)4.8321798
Kurtosis39.785959
Mean9.4727273
Median Absolute Deviation (MAD)0
Skewness6.2037683
Sum416.8
Variance2095.2519
MonotonicityNot monotonic
2023-12-11T03:03:00.412700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 37
84.1%
299.3 1
 
2.3%
54.0 1
 
2.3%
2.5 1
 
2.3%
6.46 1
 
2.3%
36.5 1
 
2.3%
7.5 1
 
2.3%
10.54 1
 
2.3%
ValueCountFrequency (%)
0.0 37
84.1%
2.5 1
 
2.3%
6.46 1
 
2.3%
7.5 1
 
2.3%
10.54 1
 
2.3%
36.5 1
 
2.3%
54.0 1
 
2.3%
299.3 1
 
2.3%
ValueCountFrequency (%)
299.3 1
 
2.3%
54.0 1
 
2.3%
36.5 1
 
2.3%
10.54 1
 
2.3%
7.5 1
 
2.3%
6.46 1
 
2.3%
2.5 1
 
2.3%
0.0 37
84.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 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_P34400003440000-108-2021-0000120211210<NA>1영업/정상1영업<NA><NA><NA><NA><NA>47.80705826대구광역시 남구 봉덕동 705-33대구광역시 남구 봉덕로9길 8, 1층 (봉덕동)42429(주)함께하는 친구20211210165951I2021-12-12 00:22:53.0식품첨가물제조업344039.802161261758.912876식품첨가물제조업00<NA><NA><NA>00000임대00N2.5<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
3435식품첨가물제조업07_22_12_P34800003480000-108-2019-0000120190704<NA>1영업/정상1영업<NA><NA><NA><NA>053 610 0154523.39711855대구광역시 달성군 논공읍 본리리 29-74번지대구광역시 달성군 논공읍 논공로87길 942983태경농산대구공장20190705142649I2019-07-06 02:21:29.0식품첨가물제조업332716.315723249300.581566식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
3536식품첨가물제조업07_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>
3637식품첨가물제조업07_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>
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_P34800003480000-108-2011-0000320021024<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>
3940식품첨가물제조업07_22_12_P34800003480000-108-2011-0000520050120<NA>1영업/정상1영업<NA><NA><NA><NA>053 616 0432120.00711855대구광역시 달성군 논공읍 본리리 29-53번지대구광역시 달성군 논공읍 논공로71길 2742982미성20190816150339U2019-08-18 02:40:00.0식품첨가물제조업332803.386147250052.269534식품첨가물제조업<NA><NA><NA><NA>상수도전용<NA>0102임대<NA><NA>N0.0<NA><NA><NA>
4041식품첨가물제조업07_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>
4142식품첨가물제조업07_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>
4243식품첨가물제조업07_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>
4344식품첨가물제조업07_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>