Overview

Dataset statistics

Number of variables47
Number of observations1013
Missing cells10555
Missing cells (%)22.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory398.8 KiB
Average record size in memory403.1 B

Variable types

Numeric8
Categorical19
Text6
DateTime4
Unsupported9
Boolean1

Dataset

Description23년06월_6270000_대구광역시_07_22_01_P_집단급식소식품판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098694&dataSetDetailId=DDI_0000098737&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
급수시설구분명 is highly imbalanced (61.6%)Imbalance
본사직원수 is highly imbalanced (56.5%)Imbalance
공장사무직직원수 is highly imbalanced (59.5%)Imbalance
공장생산직직원수 is highly imbalanced (61.8%)Imbalance
인허가취소일자 has 1013 (100.0%) missing valuesMissing
폐업일자 has 428 (42.3%) missing valuesMissing
휴업시작일자 has 1013 (100.0%) missing valuesMissing
휴업종료일자 has 1013 (100.0%) missing valuesMissing
재개업일자 has 1013 (100.0%) missing valuesMissing
소재지전화 has 417 (41.2%) missing valuesMissing
소재지면적 has 40 (3.9%) missing valuesMissing
도로명전체주소 has 91 (9.0%) missing valuesMissing
도로명우편번호 has 95 (9.4%) missing valuesMissing
영업장주변구분명 has 1013 (100.0%) missing valuesMissing
등급구분명 has 1013 (100.0%) missing valuesMissing
공장판매직직원수 has 339 (33.5%) missing valuesMissing
전통업소지정번호 has 1013 (100.0%) missing valuesMissing
전통업소주된음식 has 1013 (100.0%) missing valuesMissing
홈페이지 has 1013 (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
소재지면적 has 27 (2.7%) zerosZeros
공장판매직직원수 has 650 (64.2%) zerosZeros
시설총규모 has 907 (89.5%) zerosZeros

Reproduction

Analysis started2023-12-10 19:00:29.063428
Analysis finished2023-12-10 19:00:30.754992
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1013
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean507
Minimum1
Maximum1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-11T04:00:30.873090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile51.6
Q1254
median507
Q3760
95-th percentile962.4
Maximum1013
Range1012
Interquartile range (IQR)506

Descriptive statistics

Standard deviation292.57221
Coefficient of variation (CV)0.57706551
Kurtosis-1.2
Mean507
Median Absolute Deviation (MAD)253
Skewness0
Sum513591
Variance85598.5
MonotonicityStrictly increasing
2023-12-11T04:00:31.099964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
682 1
 
0.1%
669 1
 
0.1%
670 1
 
0.1%
671 1
 
0.1%
672 1
 
0.1%
673 1
 
0.1%
674 1
 
0.1%
675 1
 
0.1%
676 1
 
0.1%
Other values (1003) 1003
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1013 1
0.1%
1012 1
0.1%
1011 1
0.1%
1010 1
0.1%
1009 1
0.1%
1008 1
0.1%
1007 1
0.1%
1006 1
0.1%
1005 1
0.1%
1004 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
집단급식소식품판매업
1013 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소식품판매업 1013
100.0%

Length

2023-12-11T04:00:31.313351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:31.465681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소식품판매업 1013
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
07_22_01_P
1013 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_01_P
2nd row07_22_01_P
3rd row07_22_01_P
4th row07_22_01_P
5th row07_22_01_P

Common Values

ValueCountFrequency (%)
07_22_01_P 1013
100.0%

Length

2023-12-11T04:00:31.639310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:31.781934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_01_p 1013
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3448558.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-11T04:00:31.917185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13440000
median3450000
Q33450000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)10000

Descriptive statistics

Standard deviation16258.04
Coefficient of variation (CV)0.0047144449
Kurtosis-0.042923913
Mean3448558.7
Median Absolute Deviation (MAD)0
Skewness-0.22817674
Sum3.49339 × 109
Variance2.6432387 × 108
MonotonicityIncreasing
2023-12-11T04:00:32.145915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 531
52.4%
3420000 117
 
11.5%
3470000 100
 
9.9%
3430000 70
 
6.9%
3480000 66
 
6.5%
3460000 62
 
6.1%
3440000 51
 
5.0%
3410000 16
 
1.6%
ValueCountFrequency (%)
3410000 16
 
1.6%
3420000 117
 
11.5%
3430000 70
 
6.9%
3440000 51
 
5.0%
3450000 531
52.4%
3460000 62
 
6.1%
3470000 100
 
9.9%
3480000 66
 
6.5%
ValueCountFrequency (%)
3480000 66
 
6.5%
3470000 100
 
9.9%
3460000 62
 
6.1%
3450000 531
52.4%
3440000 51
 
5.0%
3430000 70
 
6.9%
3420000 117
 
11.5%
3410000 16
 
1.6%

관리번호
Text

UNIQUE 

Distinct1013
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2023-12-11T04:00:32.477321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters22286
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

Unique1013 ?
Unique (%)100.0%

Sample

1st row3410000-122-2021-00001
2nd row3410000-122-2017-00001
3rd row3410000-122-2023-00001
4th row3410000-122-2008-00001
5th row3410000-122-2012-00001
ValueCountFrequency (%)
3410000-122-2021-00001 1
 
0.1%
3450000-122-2011-00031 1
 
0.1%
3450000-122-2011-00029 1
 
0.1%
3450000-122-2013-00017 1
 
0.1%
3450000-122-2012-00001 1
 
0.1%
3450000-122-2017-00014 1
 
0.1%
3450000-122-2016-00003 1
 
0.1%
3450000-122-2016-00004 1
 
0.1%
3450000-122-2013-00014 1
 
0.1%
3450000-122-2013-00015 1
 
0.1%
Other values (1003) 1003
99.0%
2023-12-11T04:00:33.164924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9066
40.7%
2 3726
16.7%
- 3039
 
13.6%
1 2101
 
9.4%
3 1336
 
6.0%
4 1250
 
5.6%
5 727
 
3.3%
8 385
 
1.7%
7 246
 
1.1%
6 230
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19247
86.4%
Dash Punctuation 3039
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9066
47.1%
2 3726
19.4%
1 2101
 
10.9%
3 1336
 
6.9%
4 1250
 
6.5%
5 727
 
3.8%
8 385
 
2.0%
7 246
 
1.3%
6 230
 
1.2%
9 180
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 3039
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22286
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9066
40.7%
2 3726
16.7%
- 3039
 
13.6%
1 2101
 
9.4%
3 1336
 
6.0%
4 1250
 
5.6%
5 727
 
3.3%
8 385
 
1.7%
7 246
 
1.1%
6 230
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22286
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9066
40.7%
2 3726
16.7%
- 3039
 
13.6%
1 2101
 
9.4%
3 1336
 
6.0%
4 1250
 
5.6%
5 727
 
3.3%
8 385
 
1.7%
7 246
 
1.1%
6 230
 
1.0%

인허가일자
Date

Distinct756
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
Minimum2008-03-14 00:00:00
Maximum2023-06-26 00:00:00
2023-12-11T04:00:33.498509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:00:33.736806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1013
Missing (%)100.0%
Memory size9.0 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
3
585 
1
428 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 585
57.7%
1 428
42.3%

Length

2023-12-11T04:00:33.960169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:34.118809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 585
57.7%
1 428
42.3%

영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
폐업
585 
영업/정상
428 

Length

Max length5
Median length2
Mean length3.2675222
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 585
57.7%
영업/정상 428
42.3%

Length

2023-12-11T04:00:34.293110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:34.462714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 585
57.7%
영업/정상 428
42.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2
585 
1
428 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 585
57.7%
1 428
42.3%

Length

2023-12-11T04:00:34.643919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:34.825400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 585
57.7%
1 428
42.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
폐업
585 
영업
428 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 585
57.7%
영업 428
42.3%

Length

2023-12-11T04:00:35.018639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:35.218418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 585
57.7%
영업 428
42.3%

폐업일자
Date

MISSING 

Distinct503
Distinct (%)86.0%
Missing428
Missing (%)42.3%
Memory size8.0 KiB
Minimum2008-04-14 00:00:00
Maximum2023-06-20 00:00:00
2023-12-11T04:00:35.405352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:00:35.645057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1013
Missing (%)100.0%
Memory size9.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1013
Missing (%)100.0%
Memory size9.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1013
Missing (%)100.0%
Memory size9.0 KiB

소재지전화
Text

MISSING 

Distinct543
Distinct (%)91.1%
Missing417
Missing (%)41.2%
Memory size8.0 KiB
2023-12-11T04:00:36.104167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.771812
Min length8

Characters and Unicode

Total characters7016
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

Unique499 ?
Unique (%)83.7%

Sample

1st row053 254 6221
2nd row053 768 4620
3rd row053 7684620
4th row0532556088
5th row053 2547772
ValueCountFrequency (%)
053 531
32.7%
311 24
 
1.5%
070 20
 
1.2%
312 17
 
1.0%
313 16
 
1.0%
314 11
 
0.7%
321 10
 
0.6%
323 9
 
0.6%
981 9
 
0.6%
326 8
 
0.5%
Other values (685) 967
59.6%
2023-12-11T04:00:36.784910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1076
15.3%
5 1063
15.2%
1028
14.7%
0 997
14.2%
1 518
7.4%
2 496
7.1%
6 438
6.2%
7 380
 
5.4%
8 368
 
5.2%
4 328
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5988
85.3%
Space Separator 1028
 
14.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1076
18.0%
5 1063
17.8%
0 997
16.6%
1 518
8.7%
2 496
8.3%
6 438
7.3%
7 380
 
6.3%
8 368
 
6.1%
4 328
 
5.5%
9 324
 
5.4%
Space Separator
ValueCountFrequency (%)
1028
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7016
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1076
15.3%
5 1063
15.2%
1028
14.7%
0 997
14.2%
1 518
7.4%
2 496
7.1%
6 438
6.2%
7 380
 
5.4%
8 368
 
5.2%
4 328
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7016
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1076
15.3%
5 1063
15.2%
1028
14.7%
0 997
14.2%
1 518
7.4%
2 496
7.1%
6 438
6.2%
7 380
 
5.4%
8 368
 
5.2%
4 328
 
4.7%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct656
Distinct (%)67.4%
Missing40
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean101.24708
Minimum0
Maximum4136.96
Zeros27
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-11T04:00:37.012609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q131.47
median60.12
Q3118.2
95-th percentile303.792
Maximum4136.96
Range4136.96
Interquartile range (IQR)86.73

Descriptive statistics

Standard deviation173.57429
Coefficient of variation (CV)1.7143634
Kurtosis303.36932
Mean101.24708
Median Absolute Deviation (MAD)36.87
Skewness13.953417
Sum98513.41
Variance30128.036
MonotonicityNot monotonic
2023-12-11T04:00:37.214365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 27
 
2.7%
66.0 20
 
2.0%
33.0 17
 
1.7%
30.0 15
 
1.5%
60.0 14
 
1.4%
20.0 12
 
1.2%
132.0 11
 
1.1%
10.0 10
 
1.0%
100.0 9
 
0.9%
40.0 9
 
0.9%
Other values (646) 829
81.8%
(Missing) 40
 
3.9%
ValueCountFrequency (%)
0.0 27
2.7%
1.22 1
 
0.1%
3.3 2
 
0.2%
4.0 4
 
0.4%
5.0 4
 
0.4%
5.51 1
 
0.1%
5.88 1
 
0.1%
6.5 1
 
0.1%
6.6 5
 
0.5%
7.8 1
 
0.1%
ValueCountFrequency (%)
4136.96 1
0.1%
996.31 1
0.1%
963.9 1
0.1%
889.8 1
0.1%
881.8 1
0.1%
790.48 1
0.1%
782.68 1
0.1%
744.98 1
0.1%
662.5 1
0.1%
657.8 1
0.1%

소재지우편번호
Text

Distinct289
Distinct (%)28.8%
Missing9
Missing (%)0.9%
Memory size8.0 KiB
2023-12-11T04:00:37.580370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7028
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

Unique131 ?
Unique (%)13.0%

Sample

1st row700-261
2nd row700-801
3rd row700-191
4th row700-845
5th row700-845
ValueCountFrequency (%)
702-300 83
 
8.3%
702-825 69
 
6.9%
702-903 37
 
3.7%
702-845 22
 
2.2%
702-867 20
 
2.0%
702-802 19
 
1.9%
702-090 18
 
1.8%
702-877 18
 
1.8%
702-865 17
 
1.7%
702-847 14
 
1.4%
Other values (279) 687
68.4%
2023-12-11T04:00:38.183490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1501
21.4%
7 1152
16.4%
- 1004
14.3%
2 821
11.7%
8 753
10.7%
1 425
 
6.0%
3 415
 
5.9%
4 296
 
4.2%
5 253
 
3.6%
6 218
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6024
85.7%
Dash Punctuation 1004
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1501
24.9%
7 1152
19.1%
2 821
13.6%
8 753
12.5%
1 425
 
7.1%
3 415
 
6.9%
4 296
 
4.9%
5 253
 
4.2%
6 218
 
3.6%
9 190
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 1004
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7028
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1501
21.4%
7 1152
16.4%
- 1004
14.3%
2 821
11.7%
8 753
10.7%
1 425
 
6.0%
3 415
 
5.9%
4 296
 
4.2%
5 253
 
3.6%
6 218
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7028
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1501
21.4%
7 1152
16.4%
- 1004
14.3%
2 821
11.7%
8 753
10.7%
1 425
 
6.0%
3 415
 
5.9%
4 296
 
4.2%
5 253
 
3.6%
6 218
 
3.1%

소재지전체주소
Text

Distinct772
Distinct (%)76.3%
Missing1
Missing (%)0.1%
Memory size8.0 KiB
2023-12-11T04:00:38.696563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length21.005929
Min length16

Characters and Unicode

Total characters21258
Distinct characters214
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique643 ?
Unique (%)63.5%

Sample

1st row대구광역시 중구 서성로1가 0089-0002 1층
2nd row대구광역시 중구 교동 0067-0012 교동시장 2층60호
3rd row대구광역시 중구 종로1가 0071-0001 3층 3369호
4th row대구광역시 중구 동인동3가 0289-0001 지상 1층
5th row대구광역시 중구 동인동3가 0330-0004 지상1층
ValueCountFrequency (%)
대구광역시 1012
22.9%
북구 531
 
12.0%
동구 115
 
2.6%
달서구 100
 
2.3%
금호동 83
 
1.9%
매천동 78
 
1.8%
서구 70
 
1.6%
달성군 66
 
1.5%
태전동 66
 
1.5%
수성구 63
 
1.4%
Other values (978) 2232
50.5%
2023-12-11T04:00:39.638059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4402
20.7%
구 1987
 
9.3%
동 1127
 
5.3%
대 1059
 
5.0%
시 1025
 
4.8%
광 1013
 
4.8%
역 1013
 
4.8%
1 934
 
4.4%
- 742
 
3.5%
2 562
 
2.6%
Other values (204) 7394
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11293
53.1%
Decimal Number 4656
21.9%
Space Separator 4402
 
20.7%
Dash Punctuation 742
 
3.5%
Open Punctuation 57
 
0.3%
Close Punctuation 57
 
0.3%
Other Punctuation 26
 
0.1%
Uppercase Letter 23
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1987
17.6%
동 1127
 
10.0%
대 1059
 
9.4%
시 1025
 
9.1%
광 1013
 
9.0%
역 1013
 
9.0%
북 535
 
4.7%
달 228
 
2.0%
서 194
 
1.7%
성 165
 
1.5%
Other values (179) 2947
26.1%
Decimal Number
ValueCountFrequency (%)
1 934
20.1%
2 562
12.1%
0 550
11.8%
3 463
9.9%
4 435
9.3%
8 373
 
8.0%
7 368
 
7.9%
5 362
 
7.8%
6 324
 
7.0%
9 285
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
B 9
39.1%
A 9
39.1%
C 3
 
13.0%
M 1
 
4.3%
D 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 23
88.5%
. 1
 
3.8%
: 1
 
3.8%
/ 1
 
3.8%
Math Symbol
ValueCountFrequency (%)
+ 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
4402
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 742
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11293
53.1%
Common 9942
46.8%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1987
17.6%
동 1127
 
10.0%
대 1059
 
9.4%
시 1025
 
9.1%
광 1013
 
9.0%
역 1013
 
9.0%
북 535
 
4.7%
달 228
 
2.0%
서 194
 
1.7%
성 165
 
1.5%
Other values (179) 2947
26.1%
Common
ValueCountFrequency (%)
4402
44.3%
1 934
 
9.4%
- 742
 
7.5%
2 562
 
5.7%
0 550
 
5.5%
3 463
 
4.7%
4 435
 
4.4%
8 373
 
3.8%
7 368
 
3.7%
5 362
 
3.6%
Other values (10) 751
 
7.6%
Latin
ValueCountFrequency (%)
B 9
39.1%
A 9
39.1%
C 3
 
13.0%
M 1
 
4.3%
D 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11293
53.1%
ASCII 9965
46.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4402
44.2%
1 934
 
9.4%
- 742
 
7.4%
2 562
 
5.6%
0 550
 
5.5%
3 463
 
4.6%
4 435
 
4.4%
8 373
 
3.7%
7 368
 
3.7%
5 362
 
3.6%
Other values (15) 774
 
7.8%
Hangul
ValueCountFrequency (%)
구 1987
17.6%
동 1127
 
10.0%
대 1059
 
9.4%
시 1025
 
9.1%
광 1013
 
9.0%
역 1013
 
9.0%
북 535
 
4.7%
달 228
 
2.0%
서 194
 
1.7%
성 165
 
1.5%
Other values (179) 2947
26.1%

도로명전체주소
Text

MISSING 

Distinct786
Distinct (%)85.2%
Missing91
Missing (%)9.0%
Memory size8.0 KiB
2023-12-11T04:00:40.065305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length28.62039
Min length20

Characters and Unicode

Total characters26388
Distinct characters251
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique693 ?
Unique (%)75.2%

Sample

1st row대구광역시 중구 서성로 59, 1층 (서성로1가)
2nd row대구광역시 중구 교동길 40, 교동시장 2층60호 (교동)
3rd row대구광역시 중구 종로 45-4, 3층 3369호 (종로1가)
4th row대구광역시 중구 국채보상로149길 73, 지상 1층 (동인동3가)
5th row대구광역시 중구 국채보상로149길 100 (동인동3가, 지상1층)
ValueCountFrequency (%)
대구광역시 922
 
17.1%
북구 502
 
9.3%
1층 392
 
7.3%
동구 99
 
1.8%
달서구 91
 
1.7%
금호동 79
 
1.5%
서구 61
 
1.1%
매천동 60
 
1.1%
태전동 59
 
1.1%
한강로8길 59
 
1.1%
Other values (1097) 3079
57.0%
2023-12-11T04:00:40.705903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4481
 
17.0%
구 1869
 
7.1%
1 1416
 
5.4%
동 1150
 
4.4%
대 1090
 
4.1%
시 945
 
3.6%
역 928
 
3.5%
광 923
 
3.5%
) 898
 
3.4%
( 898
 
3.4%
Other values (241) 11790
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14683
55.6%
Space Separator 4481
 
17.0%
Decimal Number 4361
 
16.5%
Close Punctuation 898
 
3.4%
Open Punctuation 898
 
3.4%
Other Punctuation 713
 
2.7%
Dash Punctuation 311
 
1.2%
Uppercase Letter 39
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1869
 
12.7%
동 1150
 
7.8%
대 1090
 
7.4%
시 945
 
6.4%
역 928
 
6.3%
광 923
 
6.3%
로 800
 
5.4%
길 690
 
4.7%
층 563
 
3.8%
북 526
 
3.6%
Other values (218) 5199
35.4%
Decimal Number
ValueCountFrequency (%)
1 1416
32.5%
2 609
14.0%
3 491
 
11.3%
5 313
 
7.2%
4 295
 
6.8%
0 261
 
6.0%
6 258
 
5.9%
8 258
 
5.9%
7 246
 
5.6%
9 214
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 22
56.4%
B 13
33.3%
C 3
 
7.7%
M 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 710
99.6%
. 2
 
0.3%
/ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
+ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
4481
100.0%
Close Punctuation
ValueCountFrequency (%)
) 898
100.0%
Open Punctuation
ValueCountFrequency (%)
( 898
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 311
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14683
55.6%
Common 11666
44.2%
Latin 39
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1869
 
12.7%
동 1150
 
7.8%
대 1090
 
7.4%
시 945
 
6.4%
역 928
 
6.3%
광 923
 
6.3%
로 800
 
5.4%
길 690
 
4.7%
층 563
 
3.8%
북 526
 
3.6%
Other values (218) 5199
35.4%
Common
ValueCountFrequency (%)
4481
38.4%
1 1416
 
12.1%
) 898
 
7.7%
( 898
 
7.7%
, 710
 
6.1%
2 609
 
5.2%
3 491
 
4.2%
5 313
 
2.7%
- 311
 
2.7%
4 295
 
2.5%
Other values (9) 1244
 
10.7%
Latin
ValueCountFrequency (%)
A 22
56.4%
B 13
33.3%
C 3
 
7.7%
M 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14683
55.6%
ASCII 11705
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4481
38.3%
1 1416
 
12.1%
) 898
 
7.7%
( 898
 
7.7%
, 710
 
6.1%
2 609
 
5.2%
3 491
 
4.2%
5 313
 
2.7%
- 311
 
2.7%
4 295
 
2.5%
Other values (13) 1283
 
11.0%
Hangul
ValueCountFrequency (%)
구 1869
 
12.7%
동 1150
 
7.8%
대 1090
 
7.4%
시 945
 
6.4%
역 928
 
6.3%
광 923
 
6.3%
로 800
 
5.4%
길 690
 
4.7%
층 563
 
3.8%
북 526
 
3.6%
Other values (218) 5199
35.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct357
Distinct (%)38.9%
Missing95
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean41776.938
Minimum41002
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-11T04:00:40.876017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41129
Q141459
median41501.5
Q342154.75
95-th percentile42911.9
Maximum43024
Range2022
Interquartile range (IQR)695.75

Descriptive statistics

Standard deviation542.70677
Coefficient of variation (CV)0.012990583
Kurtosis-0.32821533
Mean41776.938
Median Absolute Deviation (MAD)96.5
Skewness0.9913794
Sum38351229
Variance294530.64
MonotonicityNot monotonic
2023-12-11T04:00:41.062219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41598 61
 
6.0%
41485 49
 
4.8%
41490 47
 
4.6%
41482 22
 
2.2%
41491 19
 
1.9%
41459 17
 
1.7%
41504 16
 
1.6%
41557 14
 
1.4%
41418 11
 
1.1%
41401 11
 
1.1%
Other values (347) 651
64.3%
(Missing) 95
 
9.4%
ValueCountFrequency (%)
41002 3
0.3%
41007 1
 
0.1%
41009 1
 
0.1%
41020 1
 
0.1%
41034 1
 
0.1%
41037 1
 
0.1%
41041 2
0.2%
41051 1
 
0.1%
41055 2
0.2%
41056 2
0.2%
ValueCountFrequency (%)
43024 1
 
0.1%
43018 1
 
0.1%
43011 1
 
0.1%
43005 1
 
0.1%
43003 5
0.5%
43000 1
 
0.1%
42998 1
 
0.1%
42993 1
 
0.1%
42985 1
 
0.1%
42982 1
 
0.1%

사업장명
Text

Distinct909
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2023-12-11T04:00:41.410098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length6.1135242
Min length1

Characters and Unicode

Total characters6193
Distinct characters410
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique828 ?
Unique (%)81.7%

Sample

1st row고소미소
2nd row진솔
3rd row제이와이푸드
4th row자연식품
5th row메디푸드
ValueCountFrequency (%)
주식회사 48
 
4.3%
농업회사법인 7
 
0.6%
월배농협 5
 
0.5%
성림상사 4
 
0.4%
유통 4
 
0.4%
대성식품 4
 
0.4%
주 4
 
0.4%
투데이푸드 3
 
0.3%
아이누리 3
 
0.3%
대진식품 3
 
0.3%
Other values (925) 1022
92.3%
2023-12-11T04:00:41.860968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
푸 310
 
5.0%
드 303
 
4.9%
주 261
 
4.2%
식 210
 
3.4%
) 195
 
3.1%
( 189
 
3.1%
대 156
 
2.5%
유 144
 
2.3%
회 138
 
2.2%
사 138
 
2.2%
Other values (400) 4149
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5611
90.6%
Close Punctuation 195
 
3.1%
Open Punctuation 189
 
3.1%
Space Separator 94
 
1.5%
Uppercase Letter 54
 
0.9%
Lowercase Letter 22
 
0.4%
Decimal Number 16
 
0.3%
Other Punctuation 10
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
푸 310
 
5.5%
드 303
 
5.4%
주 261
 
4.7%
식 210
 
3.7%
대 156
 
2.8%
유 144
 
2.6%
회 138
 
2.5%
사 138
 
2.5%
산 133
 
2.4%
통 127
 
2.3%
Other values (357) 3691
65.8%
Uppercase Letter
ValueCountFrequency (%)
F 9
16.7%
S 9
16.7%
H 5
9.3%
G 4
 
7.4%
D 4
 
7.4%
M 3
 
5.6%
T 3
 
5.6%
J 3
 
5.6%
B 2
 
3.7%
O 2
 
3.7%
Other values (8) 10
18.5%
Lowercase Letter
ValueCountFrequency (%)
f 4
18.2%
o 4
18.2%
e 3
13.6%
d 2
9.1%
c 2
9.1%
a 2
9.1%
l 1
 
4.5%
t 1
 
4.5%
s 1
 
4.5%
h 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
5 6
37.5%
2 2
 
12.5%
0 2
 
12.5%
6 2
 
12.5%
4 1
 
6.2%
8 1
 
6.2%
1 1
 
6.2%
3 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
& 6
60.0%
. 4
40.0%
Close Punctuation
ValueCountFrequency (%)
) 195
100.0%
Open Punctuation
ValueCountFrequency (%)
( 189
100.0%
Space Separator
ValueCountFrequency (%)
94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5611
90.6%
Common 506
 
8.2%
Latin 76
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
푸 310
 
5.5%
드 303
 
5.4%
주 261
 
4.7%
식 210
 
3.7%
대 156
 
2.8%
유 144
 
2.6%
회 138
 
2.5%
사 138
 
2.5%
산 133
 
2.4%
통 127
 
2.3%
Other values (357) 3691
65.8%
Latin
ValueCountFrequency (%)
F 9
 
11.8%
S 9
 
11.8%
H 5
 
6.6%
f 4
 
5.3%
o 4
 
5.3%
G 4
 
5.3%
D 4
 
5.3%
M 3
 
3.9%
T 3
 
3.9%
e 3
 
3.9%
Other values (19) 28
36.8%
Common
ValueCountFrequency (%)
) 195
38.5%
( 189
37.4%
94
18.6%
& 6
 
1.2%
5 6
 
1.2%
. 4
 
0.8%
2 2
 
0.4%
0 2
 
0.4%
- 2
 
0.4%
6 2
 
0.4%
Other values (4) 4
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5611
90.6%
ASCII 582
 
9.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
푸 310
 
5.5%
드 303
 
5.4%
주 261
 
4.7%
식 210
 
3.7%
대 156
 
2.8%
유 144
 
2.6%
회 138
 
2.5%
사 138
 
2.5%
산 133
 
2.4%
통 127
 
2.3%
Other values (357) 3691
65.8%
ASCII
ValueCountFrequency (%)
) 195
33.5%
( 189
32.5%
94
16.2%
F 9
 
1.5%
S 9
 
1.5%
& 6
 
1.0%
5 6
 
1.0%
H 5
 
0.9%
f 4
 
0.7%
o 4
 
0.7%
Other values (33) 61
 
10.5%

최종수정시점
Date

Distinct1011
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
Minimum2008-04-02 17:53:53
Maximum2023-06-29 09:50:49
2023-12-11T04:00:42.027284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:00:42.233775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
I
576 
U
437 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 576
56.9%
U 437
43.1%

Length

2023-12-11T04:00:42.364530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:42.481941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 576
56.9%
u 437
43.1%

데이터갱신일자
Date

Distinct400
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-07-01 02:40:00
2023-12-11T04:00:42.613192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:00:42.767645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
집단급식소 식품판매업
1013 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row집단급식소 식품판매업
2nd row집단급식소 식품판매업
3rd row집단급식소 식품판매업
4th row집단급식소 식품판매업
5th row집단급식소 식품판매업

Common Values

ValueCountFrequency (%)
집단급식소 식품판매업 1013
100.0%

Length

2023-12-11T04:00:42.921031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:43.042859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 1013
50.0%
식품판매업 1013
50.0%

좌표정보(X)
Real number (ℝ)

Distinct709
Distinct (%)70.6%
Missing9
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean341309.57
Minimum327471.74
Maximum358028.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-11T04:00:43.155532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327471.74
5-th percentile334879.95
Q1338823.3
median339991.83
Q3344116.57
95-th percentile352558.64
Maximum358028.91
Range30557.164
Interquartile range (IQR)5293.2642

Descriptive statistics

Standard deviation5011.6089
Coefficient of variation (CV)0.01468347
Kurtosis1.0322565
Mean341309.57
Median Absolute Deviation (MAD)2093.2909
Skewness0.7177546
Sum3.426748 × 108
Variance25116224
MonotonicityNot monotonic
2023-12-11T04:00:43.297213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345327.736682658 16
 
1.6%
339388.690363782 14
 
1.4%
339243.983122111 10
 
1.0%
340582.375042356 10
 
1.0%
338985.366313904 10
 
1.0%
340226.615391161 10
 
1.0%
337154.796354516 9
 
0.9%
336942.357146811 8
 
0.8%
337092.660642678 6
 
0.6%
338997.83804797 5
 
0.5%
Other values (699) 906
89.4%
(Missing) 9
 
0.9%
ValueCountFrequency (%)
327471.744219179 2
0.2%
327605.063942283 1
 
0.1%
327735.044523737 3
0.3%
329270.202814037 1
 
0.1%
329958.846408332 1
 
0.1%
329978.893140366 1
 
0.1%
330037.525759831 1
 
0.1%
330099.30311437 1
 
0.1%
330260.716912255 1
 
0.1%
330324.023854326 1
 
0.1%
ValueCountFrequency (%)
358028.908240955 1
0.1%
356477.205726152 1
0.1%
356390.881046037 2
0.2%
356300.247422101 1
0.1%
356292.703687545 1
0.1%
356230.323996406 2
0.2%
355918.922116749 1
0.1%
355757.72294257 1
0.1%
355664.21092123 1
0.1%
354807.185179651 2
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct709
Distinct (%)70.6%
Missing9
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean265917.88
Minimum238824.51
Maximum275582
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-11T04:00:43.458963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238824.51
5-th percentile257963.64
Q1263367.34
median266962.25
Q3268642.94
95-th percentile273124.26
Maximum275582
Range36757.498
Interquartile range (IQR)5275.5932

Descriptive statistics

Standard deviation4953.3584
Coefficient of variation (CV)0.018627399
Kurtosis4.0202966
Mean265917.88
Median Absolute Deviation (MAD)2512.5127
Skewness-1.3543315
Sum2.6698155 × 108
Variance24535760
MonotonicityNot monotonic
2023-12-11T04:00:43.622706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268763.26426025 16
 
1.6%
269664.126148502 14
 
1.4%
268026.454530584 10
 
1.0%
274811.331596085 10
 
1.0%
267354.446311924 10
 
1.0%
267982.433067092 10
 
1.0%
267164.644869533 9
 
0.9%
267202.145514996 8
 
0.8%
267142.939630206 6
 
0.6%
268183.062401917 5
 
0.5%
Other values (699) 906
89.4%
(Missing) 9
 
0.9%
ValueCountFrequency (%)
238824.505920574 1
0.1%
242505.658386261 1
0.1%
244660.404545869 1
0.1%
244666.64274742 1
0.1%
244743.873468195 1
0.1%
244744.379191204 1
0.1%
244757.142677467 1
0.1%
244837.601197559 1
0.1%
244839.424611328 1
0.1%
245000.680792058 1
0.1%
ValueCountFrequency (%)
275582.004217763 1
 
0.1%
274811.331596085 10
1.0%
274594.894588392 1
 
0.1%
274508.218106082 1
 
0.1%
273969.297395079 1
 
0.1%
273735.131408993 5
0.5%
273679.002021391 1
 
0.1%
273655.73567589 2
 
0.2%
273554.526036001 1
 
0.1%
273531.00175586 3
 
0.3%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
집단급식소 식품판매업
1013 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row집단급식소 식품판매업
2nd row집단급식소 식품판매업
3rd row집단급식소 식품판매업
4th row집단급식소 식품판매업
5th row집단급식소 식품판매업

Common Values

ValueCountFrequency (%)
집단급식소 식품판매업 1013
100.0%

Length

2023-12-11T04:00:43.759795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:43.902446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 1013
50.0%
식품판매업 1013
50.0%

남성종사자수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
<NA>
784 
0
229 

Length

Max length4
Median length4
Mean length3.3218164
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 784
77.4%
0 229
 
22.6%

Length

2023-12-11T04:00:44.012044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:44.124567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 784
77.4%
0 229
 
22.6%

여성종사자수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
<NA>
784 
0
229 

Length

Max length4
Median length4
Mean length3.3218164
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 784
77.4%
0 229
 
22.6%

Length

2023-12-11T04:00:44.231277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:44.342157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 784
77.4%
0 229
 
22.6%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1013
Missing (%)100.0%
Memory size9.0 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1013
Missing (%)100.0%
Memory size9.0 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
<NA>
796 
상수도전용
215 
간이상수도
 
1
지하수전용
 
1

Length

Max length5
Median length4
Mean length4.2142152
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 796
78.6%
상수도전용 215
 
21.2%
간이상수도 1
 
0.1%
지하수전용 1
 
0.1%

Length

2023-12-11T04:00:44.448130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:44.544082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 796
78.6%
상수도전용 215
 
21.2%
간이상수도 1
 
0.1%
지하수전용 1
 
0.1%

총직원수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
<NA>
784 
0
229 

Length

Max length4
Median length4
Mean length3.3218164
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 784
77.4%
0 229
 
22.6%

Length

2023-12-11T04:00:44.677785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:44.791993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 784
77.4%
0 229
 
22.6%

본사직원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
664 
<NA>
338 
2
 
8
1
 
2
4
 
1

Length

Max length4
Median length1
Mean length2.0009872
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 664
65.5%
<NA> 338
33.4%
2 8
 
0.8%
1 2
 
0.2%
4 1
 
0.1%

Length

2023-12-11T04:00:44.911884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:45.031330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 664
65.5%
na 338
33.4%
2 8
 
0.8%
1 2
 
0.2%
4 1
 
0.1%

공장사무직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
658 
<NA>
340 
1
 
8
3
 
5
5
 
1

Length

Max length4
Median length1
Mean length2.0069102
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row0
2nd row<NA>
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 658
65.0%
<NA> 340
33.6%
1 8
 
0.8%
3 5
 
0.5%
5 1
 
0.1%
2 1
 
0.1%

Length

2023-12-11T04:00:45.201547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:45.331590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 658
65.0%
na 340
33.6%
1 8
 
0.8%
3 5
 
0.5%
5 1
 
0.1%
2 1
 
0.1%

공장판매직직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)1.2%
Missing339
Missing (%)33.5%
Infinite0
Infinite (%)0.0%
Mean0.10534125
Minimum0
Maximum15
Zeros650
Zeros (%)64.2%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-11T04:00:45.444794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7876468
Coefficient of variation (CV)7.4770978
Kurtosis204.06545
Mean0.10534125
Median Absolute Deviation (MAD)0
Skewness12.584565
Sum71
Variance0.62038748
MonotonicityNot monotonic
2023-12-11T04:00:45.548891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 650
64.2%
1 10
 
1.0%
2 5
 
0.5%
5 4
 
0.4%
3 2
 
0.2%
6 1
 
0.1%
15 1
 
0.1%
4 1
 
0.1%
(Missing) 339
33.5%
ValueCountFrequency (%)
0 650
64.2%
1 10
 
1.0%
2 5
 
0.5%
3 2
 
0.2%
4 1
 
0.1%
5 4
 
0.4%
6 1
 
0.1%
15 1
 
0.1%
ValueCountFrequency (%)
15 1
 
0.1%
6 1
 
0.1%
5 4
 
0.4%
4 1
 
0.1%
3 2
 
0.2%
2 5
 
0.5%
1 10
 
1.0%
0 650
64.2%

공장생산직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
0
667 
<NA>
339 
1
 
4
4
 
1
5
 
1

Length

Max length4
Median length1
Mean length2.0049358
Min length1

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row0
2nd row<NA>
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 667
65.8%
<NA> 339
33.5%
1 4
 
0.4%
4 1
 
0.1%
5 1
 
0.1%
24 1
 
0.1%

Length

2023-12-11T04:00:45.694682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:45.832052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 667
65.8%
na 339
33.5%
1 4
 
0.4%
4 1
 
0.1%
5 1
 
0.1%
24 1
 
0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
<NA>
805 
자가
136 
임대
 
72

Length

Max length4
Median length4
Mean length3.5893386
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 805
79.5%
자가 136
 
13.4%
임대 72
 
7.1%

Length

2023-12-11T04:00:45.975097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:46.077721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 805
79.5%
자가 136
 
13.4%
임대 72
 
7.1%

보증액
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
<NA>
784 
0
229 

Length

Max length4
Median length4
Mean length3.3218164
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 784
77.4%
0 229
 
22.6%

Length

2023-12-11T04:00:46.186954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:46.294288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 784
77.4%
0 229
 
22.6%

월세액
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
<NA>
784 
0
229 

Length

Max length4
Median length4
Mean length3.3218164
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 784
77.4%
0 229
 
22.6%

Length

2023-12-11T04:00:46.407425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:00:46.540599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 784
77.4%
0 229
 
22.6%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
False
1013 
ValueCountFrequency (%)
False 1013
100.0%
2023-12-11T04:00:46.620963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct92
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.396693
Minimum0
Maximum250.35
Zeros907
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2023-12-11T04:00:46.750008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile19.34
Maximum250.35
Range250.35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.199241
Coefficient of variation (CV)5.0635252
Kurtosis99.13929
Mean3.396693
Median Absolute Deviation (MAD)0
Skewness8.8686368
Sum3440.85
Variance295.81388
MonotonicityNot monotonic
2023-12-11T04:00:47.185534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 907
89.5%
4.0 5
 
0.5%
6.0 4
 
0.4%
3.0 3
 
0.3%
12.6 2
 
0.2%
32.0 2
 
0.2%
6.25 2
 
0.2%
3.3 2
 
0.2%
30.0 2
 
0.2%
8.12 2
 
0.2%
Other values (82) 82
 
8.1%
ValueCountFrequency (%)
0.0 907
89.5%
1.0 1
 
0.1%
2.2 1
 
0.1%
2.8 1
 
0.1%
2.88 1
 
0.1%
3.0 3
 
0.3%
3.28 1
 
0.1%
3.3 2
 
0.2%
3.62 1
 
0.1%
3.63 1
 
0.1%
ValueCountFrequency (%)
250.35 1
0.1%
233.0 1
0.1%
189.84 1
0.1%
157.86 1
0.1%
129.74 1
0.1%
112.06 1
0.1%
101.72 1
0.1%
80.0 1
0.1%
72.6 1
0.1%
70.0 1
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1013
Missing (%)100.0%
Memory size9.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1013
Missing (%)100.0%
Memory size9.0 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1013
Missing (%)100.0%
Memory size9.0 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01집단급식소식품판매업07_22_01_P34100003410000-122-2021-000012021-03-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA>50.0700-261대구광역시 중구 서성로1가 0089-0002 1층대구광역시 중구 서성로 59, 1층 (서성로1가)41921고소미소2022-04-28 14:44:23U2022-04-30 02:40:00집단급식소 식품판매업343268.049095264683.080391집단급식소 식품판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
12집단급식소식품판매업07_22_01_P34100003410000-122-2017-000012017-12-20<NA>3폐업2폐업2017-12-21<NA><NA><NA><NA><NA>700-801대구광역시 중구 교동 0067-0012 교동시장 2층60호대구광역시 중구 교동길 40, 교동시장 2층60호 (교동)41912진솔2017-12-22 09:03:35I2018-08-31 23:59:59집단급식소 식품판매업344114.19625264837.581655집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
23집단급식소식품판매업07_22_01_P34100003410000-122-2023-000012023-03-14<NA>1영업/정상1영업<NA><NA><NA><NA><NA>6.6700-191대구광역시 중구 종로1가 0071-0001 3층 3369호대구광역시 중구 종로 45-4, 3층 3369호 (종로1가)41934제이와이푸드2023-03-29 16:01:32U2023-04-01 02:40:00집단급식소 식품판매업343614.806882264466.012002집단급식소 식품판매업00<NA><NA><NA>00100<NA>00N0.0<NA><NA><NA>
34집단급식소식품판매업07_22_01_P34100003410000-122-2008-000012008-08-28<NA>1영업/정상1영업<NA><NA><NA><NA>053 254 6221100.0700-845대구광역시 중구 동인동3가 0289-0001 지상 1층대구광역시 중구 국채보상로149길 73, 지상 1층 (동인동3가)41906자연식품2018-09-12 14:06:36U2018-09-12 23:59:59집단급식소 식품판매업345417.918644264722.013703집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0020임대<NA><NA>N0.0<NA><NA><NA>
45집단급식소식품판매업07_22_01_P34100003410000-122-2012-000012012-12-17<NA>1영업/정상1영업<NA><NA><NA><NA>053 768 4620<NA>700-845대구광역시 중구 동인동3가 0330-0004 지상1층대구광역시 중구 국채보상로149길 100 (동인동3가, 지상1층)41906메디푸드2019-09-23 17:57:41U2019-09-25 02:40:00집단급식소 식품판매업345387.027581264835.304652집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0001<NA><NA><NA>N0.0<NA><NA><NA>
56집단급식소식품판매업07_22_01_P34100003410000-122-2014-000012014-07-17<NA>1영업/정상1영업<NA><NA><NA><NA><NA>33.64700-111대구광역시 중구 태평로1가 0023-0001 태평아파트 1동 21호대구광역시 중구 태평로 205 (태평로1가, 태평아파트 1동 21호)41903(주)우리농산2014-07-17 13:53:36I2018-08-31 23:59:59집단급식소 식품판매업344466.007838264977.009084집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
67집단급식소식품판매업07_22_01_P34100003410000-122-2015-000012015-05-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>700-849대구광역시 중구 동인동4가 0470-0002 동부상가아파트 가/31 129호대구광역시 중구 국채보상로 749 (동인동4가, 동부상가아파트 가/31 129호)419076.1상회2015-05-12 11:17:14I2018-08-31 23:59:59집단급식소 식품판매업345573.146866264368.569488집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
78집단급식소식품판매업07_22_01_P34100003410000-122-2015-000032015-09-03<NA>1영업/정상1영업<NA><NA><NA><NA>053 768462024.0700-845대구광역시 중구 동인동3가 0330-0004 지상1층대구광역시 중구 국채보상로149길 100 (동인동3가, 지상1층)41906닥터푸드2018-09-12 09:53:31U2018-09-12 23:59:59집단급식소 식품판매업345387.027581264835.304652집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0001<NA><NA><NA>N0.0<NA><NA><NA>
89집단급식소식품판매업07_22_01_P34100003410000-122-2018-000012018-04-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA>62.27700-847대구광역시 중구 동인동4가 0540-0001 지하 1층대구광역시 중구 동덕로30길 139-16, 지하 1층 (동인동4가)41947헬스엔케어대구티엠에스(Health&care TMS)2018-04-17 17:12:58I2018-08-31 23:59:59집단급식소 식품판매업345515.201935264079.746239집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
910집단급식소식품판매업07_22_01_P34100003410000-122-2008-000022008-08-29<NA>3폐업2폐업2008-09-08<NA><NA><NA>0532556088<NA>700-824대구광역시 중구 북성로1가 0021-0005<NA><NA>창성상회2008-08-29 13:46:43I2018-08-31 23:59:59집단급식소 식품판매업<NA><NA>집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
10031004집단급식소식품판매업07_22_01_P34800003480000-122-2008-000072008-09-04<NA>3폐업2폐업2011-05-27<NA><NA><NA>053 614 227332.25711-873대구광역시 달성군 현풍읍 중리 108-2<NA><NA>자모상회2008-09-24 14:32:01I2018-08-31 23:59:59집단급식소 식품판매업331099.542032245003.977657집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
10041005집단급식소식품판매업07_22_01_P34800003480000-122-2008-000082008-09-08<NA>3폐업2폐업2008-09-17<NA><NA><NA>053 5886868<NA>711-813대구광역시 달성군 다사읍 서재리 139-1 외 1필지<NA><NA>매일식품2008-09-08 13:36:44I2018-08-31 23:59:59집단급식소 식품판매업335186.778586265044.867747집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
10051006집단급식소식품판매업07_22_01_P34800003480000-122-2008-000092008-09-08<NA>3폐업2폐업2023-02-07<NA><NA><NA>053 615501118.0711-852대구광역시 달성군 논공읍 북리 474-40대구광역시 달성군 논공읍 북리2길 10-742985대구상회2023-02-07 17:48:55U2023-02-09 02:40:00집단급식소 식품판매업331203.100811248443.137948집단급식소 식품판매업00<NA><NA>상수도전용00000<NA>00N0.0<NA><NA><NA>
10061007집단급식소식품판매업07_22_01_P34800003480000-122-2008-000102008-09-11<NA>3폐업2폐업2010-07-28<NA><NA><NA>053 637642136.45711-832대구광역시 달성군 화원읍 명곡리 214-5<NA><NA>주)미담2009-09-07 13:08:38I2018-08-31 23:59:59집단급식소 식품판매업334641.736112256444.108274집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
10071008집단급식소식품판매업07_22_01_P34800003480000-122-2008-000112008-09-11<NA>3폐업2폐업2010-07-28<NA><NA><NA>053 637642136.0711-832대구광역시 달성군 화원읍 명곡리 214-5<NA><NA>미담농산2009-09-07 13:14:00I2018-08-31 23:59:59집단급식소 식품판매업334641.736112256444.108274집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
10081009집단급식소식품판매업07_22_01_P34800003480000-122-2008-000122008-09-11<NA>3폐업2폐업2020-08-04<NA><NA><NA>053 636173616.0711-834대구광역시 달성군 화원읍 천내리 124-3대구광역시 달성군 화원읍 화원로 29-442954대천식품2020-08-04 13:36:15U2020-08-06 02:40:00집단급식소 식품판매업335409.588582257354.731338집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
10091010집단급식소식품판매업07_22_01_P34800003480000-122-2008-000022008-04-04<NA>3폐업2폐업2008-04-14<NA><NA><NA>053 3121656<NA>711-852대구광역시 달성군 논공읍 북리 824-35 1필지 111호<NA><NA>남경식품2008-04-04 09:37:35I2018-08-31 23:59:59집단급식소 식품판매업330706.421358248561.77396집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
10101011집단급식소식품판매업07_22_01_P34800003480000-122-2008-000032008-05-21<NA>3폐업2폐업2013-09-02<NA><NA><NA>053 616 5536650.0711-844대구광역시 달성군 옥포읍 김흥리 1285-1대구광역시 달성군 옥포읍 능전길 4942977(주)제일종합상사2008-06-30 09:08:30I2018-08-31 23:59:59집단급식소 식품판매업335263.724366250523.88724집단급식소 식품판매업<NA><NA><NA><NA>지하수전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
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