Overview

Dataset statistics

Number of variables47
Number of observations1042
Missing cells10869
Missing cells (%)22.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory410.2 KiB
Average record size in memory403.1 B

Variable types

Numeric8
Categorical19
Text6
DateTime4
Unsupported9
Boolean1

Dataset

Description23년08월_6270000_대구광역시_07_22_01_P_집단급식소식품판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000099934&dataSetDetailId=DDI_0000099977&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 (61.0%)Imbalance
본사직원수 is highly imbalanced (57.0%)Imbalance
공장사무직직원수 is highly imbalanced (60.0%)Imbalance
공장생산직직원수 is highly imbalanced (62.3%)Imbalance
인허가취소일자 has 1042 (100.0%) missing valuesMissing
폐업일자 has 449 (43.1%) missing valuesMissing
휴업시작일자 has 1042 (100.0%) missing valuesMissing
휴업종료일자 has 1042 (100.0%) missing valuesMissing
재개업일자 has 1042 (100.0%) missing valuesMissing
소재지전화 has 430 (41.3%) missing valuesMissing
소재지면적 has 42 (4.0%) missing valuesMissing
소재지우편번호 has 18 (1.7%) missing valuesMissing
도로명전체주소 has 91 (8.7%) missing valuesMissing
도로명우편번호 has 95 (9.1%) missing valuesMissing
좌표정보(X) has 13 (1.2%) missing valuesMissing
좌표정보(Y) has 13 (1.2%) missing valuesMissing
영업장주변구분명 has 1042 (100.0%) missing valuesMissing
등급구분명 has 1042 (100.0%) missing valuesMissing
공장판매직직원수 has 339 (32.5%) missing valuesMissing
전통업소지정번호 has 1042 (100.0%) missing valuesMissing
전통업소주된음식 has 1042 (100.0%) missing valuesMissing
홈페이지 has 1042 (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 29 (2.8%) zerosZeros
공장판매직직원수 has 679 (65.2%) zerosZeros
시설총규모 has 930 (89.3%) zerosZeros

Reproduction

Analysis started2023-09-23 22:29:32.039864
Analysis finished2023-09-23 22:29:33.561550
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1042
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean521.5
Minimum1
Maximum1042
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-09-24T07:29:33.708122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile53.05
Q1261.25
median521.5
Q3781.75
95-th percentile989.95
Maximum1042
Range1041
Interquartile range (IQR)520.5

Descriptive statistics

Standard deviation300.94379
Coefficient of variation (CV)0.57707343
Kurtosis-1.2
Mean521.5
Median Absolute Deviation (MAD)260.5
Skewness0
Sum543403
Variance90567.167
MonotonicityStrictly increasing
2023-09-24T07:29:33.984373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
686 1
 
0.1%
688 1
 
0.1%
689 1
 
0.1%
690 1
 
0.1%
691 1
 
0.1%
692 1
 
0.1%
693 1
 
0.1%
694 1
 
0.1%
695 1
 
0.1%
Other values (1032) 1032
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 (%)
1042 1
0.1%
1041 1
0.1%
1040 1
0.1%
1039 1
0.1%
1038 1
0.1%
1037 1
0.1%
1036 1
0.1%
1035 1
0.1%
1034 1
0.1%
1033 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
집단급식소식품판매업
1042 

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 1042
100.0%

Length

2023-09-24T07:29:34.195904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:29:34.364402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소식품판매업 1042
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
07_22_01_P
1042 

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 1042
100.0%

Length

2023-09-24T07:29:34.541021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:29:34.726136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_01_p 1042
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3463214
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-09-24T07:29:34.902518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13450000
median3450000
Q33450000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation157504.21
Coefficient of variation (CV)0.045479201
Kurtosis108.95486
Mean3463214
Median Absolute Deviation (MAD)0
Skewness10.466354
Sum3.608669 × 109
Variance2.4807575 × 1010
MonotonicityIncreasing
2023-09-24T07:29:35.105260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3450000 546
52.4%
3420000 117
 
11.2%
3470000 102
 
9.8%
3430000 72
 
6.9%
3480000 66
 
6.3%
3460000 63
 
6.0%
3440000 51
 
4.9%
3410000 16
 
1.5%
5141000 9
 
0.9%
ValueCountFrequency (%)
3410000 16
 
1.5%
3420000 117
 
11.2%
3430000 72
 
6.9%
3440000 51
 
4.9%
3450000 546
52.4%
3460000 63
 
6.0%
3470000 102
 
9.8%
3480000 66
 
6.3%
5141000 9
 
0.9%
ValueCountFrequency (%)
5141000 9
 
0.9%
3480000 66
 
6.3%
3470000 102
 
9.8%
3460000 63
 
6.0%
3450000 546
52.4%
3440000 51
 
4.9%
3430000 72
 
6.9%
3420000 117
 
11.2%
3410000 16
 
1.5%

관리번호
Text

UNIQUE 

Distinct1042
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2023-09-24T07:29:35.448751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters22924
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

Unique1042 ?
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%
3450000-122-2009-00010 1
 
0.1%
3450000-122-2013-00017 1
 
0.1%
3450000-122-2015-00017 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 (1032) 1032
99.0%
2023-09-24T07:29:36.034294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9311
40.6%
2 3843
16.8%
- 3126
 
13.6%
1 2170
 
9.5%
3 1382
 
6.0%
4 1282
 
5.6%
5 754
 
3.3%
8 391
 
1.7%
7 249
 
1.1%
6 234
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19798
86.4%
Dash Punctuation 3126
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9311
47.0%
2 3843
19.4%
1 2170
 
11.0%
3 1382
 
7.0%
4 1282
 
6.5%
5 754
 
3.8%
8 391
 
2.0%
7 249
 
1.3%
6 234
 
1.2%
9 182
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 3126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22924
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9311
40.6%
2 3843
16.8%
- 3126
 
13.6%
1 2170
 
9.5%
3 1382
 
6.0%
4 1282
 
5.6%
5 754
 
3.3%
8 391
 
1.7%
7 249
 
1.1%
6 234
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22924
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9311
40.6%
2 3843
16.8%
- 3126
 
13.6%
1 2170
 
9.5%
3 1382
 
6.0%
4 1282
 
5.6%
5 754
 
3.3%
8 391
 
1.7%
7 249
 
1.1%
6 234
 
1.0%

인허가일자
Date

Distinct774
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
Minimum2008-03-14 00:00:00
Maximum2023-08-29 00:00:00
2023-09-24T07:29:36.288340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-24T07:29:36.532519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1042
Missing (%)100.0%
Memory size9.3 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
3
593 
1
449 

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 (%)
3 593
56.9%
1 449
43.1%

Length

2023-09-24T07:29:36.798529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:29:36.952927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 593
56.9%
1 449
43.1%

영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
폐업
593 
영업/정상
449 

Length

Max length5
Median length2
Mean length3.2927063
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 593
56.9%
영업/정상 449
43.1%

Length

2023-09-24T07:29:37.132951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:29:37.314139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 593
56.9%
영업/정상 449
43.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2
593 
1
449 

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 (%)
2 593
56.9%
1 449
43.1%

Length

2023-09-24T07:29:37.453146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:29:37.597177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 593
56.9%
1 449
43.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
폐업
593 
영업
449 

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 593
56.9%
영업 449
43.1%

Length

2023-09-24T07:29:37.785211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:29:38.004327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 593
56.9%
영업 449
43.1%

폐업일자
Date

MISSING 

Distinct510
Distinct (%)86.0%
Missing449
Missing (%)43.1%
Memory size8.3 KiB
Minimum2008-04-14 00:00:00
Maximum2023-08-29 00:00:00
2023-09-24T07:29:38.192765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-24T07:29:38.411238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1042
Missing (%)100.0%
Memory size9.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1042
Missing (%)100.0%
Memory size9.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1042
Missing (%)100.0%
Memory size9.3 KiB

소재지전화
Text

MISSING 

Distinct557
Distinct (%)91.0%
Missing430
Missing (%)41.3%
Memory size8.3 KiB
2023-09-24T07:29:38.941378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.759804
Min length7

Characters and Unicode

Total characters7197
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

Unique511 ?
Unique (%)83.5%

Sample

1st row053 254 6221
2nd row053 768 4620
3rd row053 7684620
4th row0532556088
5th row053 2547772
ValueCountFrequency (%)
053 537
32.3%
311 24
 
1.4%
070 20
 
1.2%
312 17
 
1.0%
313 16
 
1.0%
314 11
 
0.7%
054 11
 
0.7%
321 10
 
0.6%
981 9
 
0.5%
323 9
 
0.5%
Other values (701) 997
60.0%
2023-09-24T07:29:39.703112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1104
15.3%
5 1085
15.1%
1051
14.6%
0 1025
14.2%
1 528
7.3%
2 513
7.1%
6 448
6.2%
7 387
 
5.4%
8 387
 
5.4%
4 341
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6146
85.4%
Space Separator 1051
 
14.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1104
18.0%
5 1085
17.7%
0 1025
16.7%
1 528
8.6%
2 513
8.3%
6 448
7.3%
7 387
 
6.3%
8 387
 
6.3%
4 341
 
5.5%
9 328
 
5.3%
Space Separator
ValueCountFrequency (%)
1051
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7197
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1104
15.3%
5 1085
15.1%
1051
14.6%
0 1025
14.2%
1 528
7.3%
2 513
7.1%
6 448
6.2%
7 387
 
5.4%
8 387
 
5.4%
4 341
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7197
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1104
15.3%
5 1085
15.1%
1051
14.6%
0 1025
14.2%
1 528
7.3%
2 513
7.1%
6 448
6.2%
7 387
 
5.4%
8 387
 
5.4%
4 341
 
4.7%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct674
Distinct (%)67.4%
Missing42
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean101.21594
Minimum0
Maximum4136.96
Zeros29
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-09-24T07:29:39.946440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.9045
Q130.015
median60
Q3113
95-th percentile304.617
Maximum4136.96
Range4136.96
Interquartile range (IQR)82.985

Descriptive statistics

Standard deviation177.05284
Coefficient of variation (CV)1.7492585
Kurtosis275.24749
Mean101.21594
Median Absolute Deviation (MAD)36.9
Skewness13.199112
Sum101215.94
Variance31347.709
MonotonicityNot monotonic
2023-09-24T07:29:40.209891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 29
 
2.8%
66.0 19
 
1.8%
33.0 18
 
1.7%
60.0 14
 
1.3%
30.0 14
 
1.3%
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 (664) 855
82.1%
(Missing) 42
 
4.0%
ValueCountFrequency (%)
0.0 29
2.8%
1.22 1
 
0.1%
3.3 2
 
0.2%
4.0 5
 
0.5%
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%
1398.6 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%

소재지우편번호
Text

MISSING 

Distinct294
Distinct (%)28.7%
Missing18
Missing (%)1.7%
Memory size8.3 KiB
2023-09-24T07:29:40.701708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7168
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

Unique134 ?
Unique (%)13.1%

Sample

1st row700-261
2nd row700-801
3rd row700-191
4th row700-845
5th row700-845
ValueCountFrequency (%)
702-300 86
 
8.4%
702-825 71
 
6.9%
702-903 39
 
3.8%
702-845 22
 
2.1%
702-867 20
 
2.0%
702-802 19
 
1.9%
702-877 18
 
1.8%
702-090 18
 
1.8%
702-865 18
 
1.8%
702-866 14
 
1.4%
Other values (284) 699
68.3%
2023-09-24T07:29:41.848685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1536
21.4%
7 1173
16.4%
- 1024
14.3%
2 849
11.8%
8 763
10.6%
3 427
 
6.0%
1 426
 
5.9%
4 298
 
4.2%
5 257
 
3.6%
6 221
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6144
85.7%
Dash Punctuation 1024
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1536
25.0%
7 1173
19.1%
2 849
13.8%
8 763
12.4%
3 427
 
6.9%
1 426
 
6.9%
4 298
 
4.9%
5 257
 
4.2%
6 221
 
3.6%
9 194
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 1024
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7168
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1536
21.4%
7 1173
16.4%
- 1024
14.3%
2 849
11.8%
8 763
10.6%
3 427
 
6.0%
1 426
 
5.9%
4 298
 
4.2%
5 257
 
3.6%
6 221
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7168
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1536
21.4%
7 1173
16.4%
- 1024
14.3%
2 849
11.8%
8 763
10.6%
3 427
 
6.0%
1 426
 
5.9%
4 298
 
4.2%
5 257
 
3.6%
6 221
 
3.1%

소재지전체주소
Text

Distinct791
Distinct (%)76.0%
Missing1
Missing (%)0.1%
Memory size8.3 KiB
2023-09-24T07:29:42.785871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length20.98463
Min length15

Characters and Unicode

Total characters21845
Distinct characters218
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

Unique659 ?
Unique (%)63.3%

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 1041
22.9%
북구 546
 
12.0%
동구 115
 
2.5%
달서구 102
 
2.2%
금호동 86
 
1.9%
매천동 80
 
1.8%
서구 72
 
1.6%
태전동 67
 
1.5%
달성군 66
 
1.5%
수성구 64
 
1.4%
Other values (1012) 2306
50.7%
2023-09-24T07:29:43.653805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4531
20.7%
구 2037
 
9.3%
동 1149
 
5.3%
대 1089
 
5.0%
시 1055
 
4.8%
광 1042
 
4.8%
역 1042
 
4.8%
1 955
 
4.4%
- 756
 
3.5%
2 574
 
2.6%
Other values (208) 7615
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11635
53.3%
Decimal Number 4758
21.8%
Space Separator 4531
 
20.7%
Dash Punctuation 756
 
3.5%
Close Punctuation 57
 
0.3%
Open 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 2037
17.5%
동 1149
 
9.9%
대 1089
 
9.4%
시 1055
 
9.1%
광 1042
 
9.0%
역 1042
 
9.0%
북 550
 
4.7%
달 232
 
2.0%
서 201
 
1.7%
성 166
 
1.4%
Other values (183) 3072
26.4%
Decimal Number
ValueCountFrequency (%)
1 955
20.1%
2 574
12.1%
0 558
11.7%
3 468
9.8%
4 444
9.3%
8 384
8.1%
7 377
 
7.9%
5 370
 
7.8%
6 339
 
7.1%
9 289
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
A 9
39.1%
B 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 (%)
4531
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 756
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11635
53.3%
Common 10187
46.6%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2037
17.5%
동 1149
 
9.9%
대 1089
 
9.4%
시 1055
 
9.1%
광 1042
 
9.0%
역 1042
 
9.0%
북 550
 
4.7%
달 232
 
2.0%
서 201
 
1.7%
성 166
 
1.4%
Other values (183) 3072
26.4%
Common
ValueCountFrequency (%)
4531
44.5%
1 955
 
9.4%
- 756
 
7.4%
2 574
 
5.6%
0 558
 
5.5%
3 468
 
4.6%
4 444
 
4.4%
8 384
 
3.8%
7 377
 
3.7%
5 370
 
3.6%
Other values (10) 770
 
7.6%
Latin
ValueCountFrequency (%)
A 9
39.1%
B 9
39.1%
C 3
 
13.0%
M 1
 
4.3%
D 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11635
53.3%
ASCII 10210
46.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4531
44.4%
1 955
 
9.4%
- 756
 
7.4%
2 574
 
5.6%
0 558
 
5.5%
3 468
 
4.6%
4 444
 
4.3%
8 384
 
3.8%
7 377
 
3.7%
5 370
 
3.6%
Other values (15) 793
 
7.8%
Hangul
ValueCountFrequency (%)
구 2037
17.5%
동 1149
 
9.9%
대 1089
 
9.4%
시 1055
 
9.1%
광 1042
 
9.0%
역 1042
 
9.0%
북 550
 
4.7%
달 232
 
2.0%
서 201
 
1.7%
성 166
 
1.4%
Other values (183) 3072
26.4%

도로명전체주소
Text

MISSING 

Distinct815
Distinct (%)85.7%
Missing91
Missing (%)8.7%
Memory size8.3 KiB
2023-09-24T07:29:44.213930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length28.629863
Min length20

Characters and Unicode

Total characters27227
Distinct characters256
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

Unique722 ?
Unique (%)75.9%

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 951
 
17.0%
북구 517
 
9.3%
1층 405
 
7.3%
동구 99
 
1.8%
달서구 93
 
1.7%
금호동 82
 
1.5%
한강로8길 63
 
1.1%
서구 63
 
1.1%
매천동 62
 
1.1%
태전동 60
 
1.1%
Other values (1131) 3185
57.1%
2023-09-24T07:29:45.152256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4629
 
17.0%
구 1919
 
7.0%
1 1461
 
5.4%
동 1175
 
4.3%
대 1123
 
4.1%
시 975
 
3.6%
역 957
 
3.5%
광 952
 
3.5%
) 918
 
3.4%
( 918
 
3.4%
Other values (246) 12200
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15143
55.6%
Space Separator 4629
 
17.0%
Decimal Number 4511
 
16.6%
Close Punctuation 918
 
3.4%
Open Punctuation 918
 
3.4%
Other Punctuation 738
 
2.7%
Dash Punctuation 324
 
1.2%
Uppercase Letter 42
 
0.2%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1919
 
12.7%
동 1175
 
7.8%
대 1123
 
7.4%
시 975
 
6.4%
역 957
 
6.3%
광 952
 
6.3%
로 821
 
5.4%
길 711
 
4.7%
층 578
 
3.8%
북 541
 
3.6%
Other values (221) 5391
35.6%
Decimal Number
ValueCountFrequency (%)
1 1461
32.4%
2 628
13.9%
3 502
 
11.1%
5 322
 
7.1%
4 313
 
6.9%
0 276
 
6.1%
6 267
 
5.9%
8 266
 
5.9%
7 256
 
5.7%
9 220
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 22
52.4%
B 12
28.6%
C 3
 
7.1%
E 2
 
4.8%
D 2
 
4.8%
M 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 735
99.6%
. 2
 
0.3%
/ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
+ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
4629
100.0%
Close Punctuation
ValueCountFrequency (%)
) 918
100.0%
Open Punctuation
ValueCountFrequency (%)
( 918
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 324
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15143
55.6%
Common 12042
44.2%
Latin 42
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1919
 
12.7%
동 1175
 
7.8%
대 1123
 
7.4%
시 975
 
6.4%
역 957
 
6.3%
광 952
 
6.3%
로 821
 
5.4%
길 711
 
4.7%
층 578
 
3.8%
북 541
 
3.6%
Other values (221) 5391
35.6%
Common
ValueCountFrequency (%)
4629
38.4%
1 1461
 
12.1%
) 918
 
7.6%
( 918
 
7.6%
, 735
 
6.1%
2 628
 
5.2%
3 502
 
4.2%
- 324
 
2.7%
5 322
 
2.7%
4 313
 
2.6%
Other values (9) 1292
 
10.7%
Latin
ValueCountFrequency (%)
A 22
52.4%
B 12
28.6%
C 3
 
7.1%
E 2
 
4.8%
D 2
 
4.8%
M 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15143
55.6%
ASCII 12084
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4629
38.3%
1 1461
 
12.1%
) 918
 
7.6%
( 918
 
7.6%
, 735
 
6.1%
2 628
 
5.2%
3 502
 
4.2%
- 324
 
2.7%
5 322
 
2.7%
4 313
 
2.6%
Other values (15) 1334
 
11.0%
Hangul
ValueCountFrequency (%)
구 1919
 
12.7%
동 1175
 
7.8%
대 1123
 
7.4%
시 975
 
6.4%
역 957
 
6.3%
광 952
 
6.3%
로 821
 
5.4%
길 711
 
4.7%
층 578
 
3.8%
북 541
 
3.6%
Other values (221) 5391
35.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct367
Distinct (%)38.8%
Missing95
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean41787.82
Minimum41002
Maximum43163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-09-24T07:29:45.431924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41129
Q141460
median41504
Q342161
95-th percentile42928
Maximum43163
Range2161
Interquartile range (IQR)701

Descriptive statistics

Standard deviation553.40328
Coefficient of variation (CV)0.013243172
Kurtosis-0.32092269
Mean41787.82
Median Absolute Deviation (MAD)94
Skewness0.99614753
Sum39573066
Variance306255.19
MonotonicityNot monotonic
2023-09-24T07:29:45.683985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41598 65
 
6.2%
41485 50
 
4.8%
41490 49
 
4.7%
41482 23
 
2.2%
41491 18
 
1.7%
41459 17
 
1.6%
41504 16
 
1.5%
41557 14
 
1.3%
41418 11
 
1.1%
41401 11
 
1.1%
Other values (357) 673
64.6%
(Missing) 95
 
9.1%
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 (%)
43163 1
0.1%
43149 2
0.2%
43137 1
0.1%
43129 1
0.1%
43118 2
0.2%
43115 2
0.2%
43024 1
0.1%
43018 1
0.1%
43011 1
0.1%
43005 1
0.1%

사업장명
Text

Distinct936
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2023-09-24T07:29:46.059860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length6.1228407
Min length1

Characters and Unicode

Total characters6380
Distinct characters413
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

Unique853 ?
Unique (%)81.9%

Sample

1st row고소미소
2nd row진솔
3rd row제이와이푸드
4th row자연식품
5th row메디푸드
ValueCountFrequency (%)
주식회사 51
 
4.5%
농업회사법인 9
 
0.8%
월배농협 5
 
0.4%
유통 5
 
0.4%
성림상사 4
 
0.3%
주 4
 
0.3%
대성식품 4
 
0.3%
수성키즈 3
 
0.3%
대진식품 3
 
0.3%
대성유통 3
 
0.3%
Other values (952) 1054
92.1%
2023-09-24T07:29:46.768811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
푸 319
 
5.0%
드 312
 
4.9%
주 266
 
4.2%
식 216
 
3.4%
) 197
 
3.1%
( 191
 
3.0%
대 159
 
2.5%
유 148
 
2.3%
회 146
 
2.3%
사 144
 
2.3%
Other values (403) 4282
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5785
90.7%
Close Punctuation 197
 
3.1%
Open Punctuation 191
 
3.0%
Space Separator 103
 
1.6%
Uppercase Letter 54
 
0.8%
Lowercase Letter 22
 
0.3%
Decimal Number 16
 
0.3%
Other Punctuation 10
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
푸 319
 
5.5%
드 312
 
5.4%
주 266
 
4.6%
식 216
 
3.7%
대 159
 
2.7%
유 148
 
2.6%
회 146
 
2.5%
사 144
 
2.5%
산 137
 
2.4%
통 130
 
2.2%
Other values (360) 3808
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%
J 3
 
5.6%
T 3
 
5.6%
M 3
 
5.6%
B 2
 
3.7%
C 2
 
3.7%
Other values (8) 10
18.5%
Lowercase Letter
ValueCountFrequency (%)
f 4
18.2%
o 4
18.2%
e 3
13.6%
c 2
9.1%
d 2
9.1%
a 2
9.1%
h 1
 
4.5%
r 1
 
4.5%
s 1
 
4.5%
l 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
5 6
37.5%
2 2
 
12.5%
6 2
 
12.5%
0 2
 
12.5%
1 1
 
6.2%
8 1
 
6.2%
3 1
 
6.2%
4 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
& 6
60.0%
. 4
40.0%
Close Punctuation
ValueCountFrequency (%)
) 197
100.0%
Open Punctuation
ValueCountFrequency (%)
( 191
100.0%
Space Separator
ValueCountFrequency (%)
103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5785
90.7%
Common 519
 
8.1%
Latin 76
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
푸 319
 
5.5%
드 312
 
5.4%
주 266
 
4.6%
식 216
 
3.7%
대 159
 
2.7%
유 148
 
2.6%
회 146
 
2.5%
사 144
 
2.5%
산 137
 
2.4%
통 130
 
2.2%
Other values (360) 3808
65.8%
Latin
ValueCountFrequency (%)
F 9
 
11.8%
S 9
 
11.8%
H 5
 
6.6%
G 4
 
5.3%
D 4
 
5.3%
f 4
 
5.3%
o 4
 
5.3%
J 3
 
3.9%
T 3
 
3.9%
M 3
 
3.9%
Other values (19) 28
36.8%
Common
ValueCountFrequency (%)
) 197
38.0%
( 191
36.8%
103
19.8%
5 6
 
1.2%
& 6
 
1.2%
. 4
 
0.8%
2 2
 
0.4%
6 2
 
0.4%
0 2
 
0.4%
- 2
 
0.4%
Other values (4) 4
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5785
90.7%
ASCII 595
 
9.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
푸 319
 
5.5%
드 312
 
5.4%
주 266
 
4.6%
식 216
 
3.7%
대 159
 
2.7%
유 148
 
2.6%
회 146
 
2.5%
사 144
 
2.5%
산 137
 
2.4%
통 130
 
2.2%
Other values (360) 3808
65.8%
ASCII
ValueCountFrequency (%)
) 197
33.1%
( 191
32.1%
103
17.3%
F 9
 
1.5%
S 9
 
1.5%
5 6
 
1.0%
& 6
 
1.0%
H 5
 
0.8%
G 4
 
0.7%
D 4
 
0.7%
Other values (33) 61
 
10.3%

최종수정시점
Date

Distinct1040
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
Minimum2008-04-02 17:53:53
Maximum2023-08-30 11:25:24
2023-09-24T07:29:47.124811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-24T07:29:47.972850image/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 size8.3 KiB
I
592 
U
450 

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 592
56.8%
U 450
43.2%

Length

2023-09-24T07:29:48.328222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:29:48.554309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 592
56.8%
u 450
43.2%

데이터갱신일자
Date

Distinct422
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-09-01 02:40:00
2023-09-24T07:29:48.752964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-24T07:29:49.062381image/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 size8.3 KiB
집단급식소 식품판매업
1042 

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 1042
100.0%

Length

2023-09-24T07:29:49.415623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:29:49.583426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 1042
50.0%
식품판매업 1042
50.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct728
Distinct (%)70.7%
Missing13
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean341331.65
Minimum327471.74
Maximum358028.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-09-24T07:29:49.765997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327471.74
5-th percentile334890.55
Q1338824.13
median340002.57
Q3344114.2
95-th percentile352631.11
Maximum358028.91
Range30557.164
Interquartile range (IQR)5290.0626

Descriptive statistics

Standard deviation5005.733
Coefficient of variation (CV)0.014665306
Kurtosis1.0382387
Mean341331.65
Median Absolute Deviation (MAD)2082.5454
Skewness0.72672038
Sum3.5123027 × 108
Variance25057363
MonotonicityNot monotonic
2023-09-24T07:29:49.980214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345327.736682658 16
 
1.5%
339388.690363782 14
 
1.3%
340582.375042356 10
 
1.0%
337154.796354516 10
 
1.0%
340226.615391161 10
 
1.0%
339243.983122111 10
 
1.0%
338985.366313904 10
 
1.0%
336942.357146811 7
 
0.7%
337092.660642678 7
 
0.7%
338997.83804797 5
 
0.5%
Other values (718) 930
89.3%
(Missing) 13
 
1.2%
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)

MISSING 

Distinct728
Distinct (%)70.7%
Missing13
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean266218.59
Minimum238824.51
Maximum305577.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-09-24T07:29:50.217340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238824.51
5-th percentile257968.97
Q1263431
median267142.94
Q3268763.26
95-th percentile273259.73
Maximum305577.86
Range66753.353
Interquartile range (IQR)5332.2636

Descriptive statistics

Standard deviation5845.5288
Coefficient of variation (CV)0.021957628
Kurtosis11.445864
Mean266218.59
Median Absolute Deviation (MAD)2521.1865
Skewness0.83574068
Sum2.7393893 × 108
Variance34170207
MonotonicityNot monotonic
2023-09-24T07:29:50.483143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268763.26426025 16
 
1.5%
269664.126148502 14
 
1.3%
274811.331596085 10
 
1.0%
267164.644869533 10
 
1.0%
267982.433067092 10
 
1.0%
268026.454530584 10
 
1.0%
267354.446311924 10
 
1.0%
267202.145514996 7
 
0.7%
267142.939630206 7
 
0.7%
268183.062401917 5
 
0.5%
Other values (718) 930
89.3%
(Missing) 13
 
1.2%
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 (%)
305577.858746618 1
0.1%
305419.009944721 1
0.1%
304496.13279285 1
0.1%
304466.14911019 1
0.1%
298479.271784826 1
0.1%
298434.927227855 1
0.1%
296166.884442133 1
0.1%
292024.590733752 1
0.1%
290641.539769691 1
0.1%
275582.004217763 1
0.1%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
집단급식소 식품판매업
1042 

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 1042
100.0%

Length

2023-09-24T07:29:50.704386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:29:50.853536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 1042
50.0%
식품판매업 1042
50.0%

남성종사자수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
<NA>
780 
0
262 

Length

Max length4
Median length4
Mean length3.2456814
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> 780
74.9%
0 262
 
25.1%

Length

2023-09-24T07:29:51.010811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:29:51.169296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 780
74.9%
0 262
 
25.1%

여성종사자수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
<NA>
780 
0
262 

Length

Max length4
Median length4
Mean length3.2456814
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> 780
74.9%
0 262
 
25.1%

Length

2023-09-24T07:29:51.351992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:29:51.556437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 780
74.9%
0 262
 
25.1%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1042
Missing (%)100.0%
Memory size9.3 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1042
Missing (%)100.0%
Memory size9.3 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
<NA>
812 
상수도전용
228 
간이상수도
 
1
지하수전용
 
1

Length

Max length5
Median length4
Mean length4.2207294
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> 812
77.9%
상수도전용 228
 
21.9%
간이상수도 1
 
0.1%
지하수전용 1
 
0.1%

Length

2023-09-24T07:29:51.763217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:29:51.983057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 812
77.9%
상수도전용 228
 
21.9%
간이상수도 1
 
0.1%
지하수전용 1
 
0.1%

총직원수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
<NA>
780 
0
262 

Length

Max length4
Median length4
Mean length3.2456814
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> 780
74.9%
0 262
 
25.1%

Length

2023-09-24T07:29:52.178207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:29:52.334253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 780
74.9%
0 262
 
25.1%

본사직원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
0
693 
<NA>
338 
2
 
8
1
 
2
4
 
1

Length

Max length4
Median length1
Mean length1.9731286
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 693
66.5%
<NA> 338
32.4%
2 8
 
0.8%
1 2
 
0.2%
4 1
 
0.1%

Length

2023-09-24T07:29:52.491735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:29:52.694430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 693
66.5%
na 338
32.4%
2 8
 
0.8%
1 2
 
0.2%
4 1
 
0.1%

공장사무직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
0
687 
<NA>
340 
1
 
8
3
 
5
5
 
1

Length

Max length4
Median length1
Mean length1.9788868
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 687
65.9%
<NA> 340
32.6%
1 8
 
0.8%
3 5
 
0.5%
5 1
 
0.1%
2 1
 
0.1%

Length

2023-09-24T07:29:52.908670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:29:53.088159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 687
65.9%
na 340
32.6%
1 8
 
0.8%
3 5
 
0.5%
5 1
 
0.1%
2 1
 
0.1%

공장판매직직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)1.1%
Missing339
Missing (%)32.5%
Infinite0
Infinite (%)0.0%
Mean0.10099573
Minimum0
Maximum15
Zeros679
Zeros (%)65.2%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-09-24T07:29:53.263276image/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 deviation0.77149105
Coefficient of variation (CV)7.638848
Kurtosis212.88195
Mean0.10099573
Median Absolute Deviation (MAD)0
Skewness12.853875
Sum71
Variance0.59519844
MonotonicityNot monotonic
2023-09-24T07:29:53.472782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 679
65.2%
1 10
 
1.0%
2 5
 
0.5%
5 4
 
0.4%
3 2
 
0.2%
6 1
 
0.1%
4 1
 
0.1%
15 1
 
0.1%
(Missing) 339
32.5%
ValueCountFrequency (%)
0 679
65.2%
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%
0 679
65.2%

공장생산직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
0
696 
<NA>
339 
1
 
4
4
 
1
24
 
1

Length

Max length4
Median length1
Mean length1.9769674
Min length1

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 696
66.8%
<NA> 339
32.5%
1 4
 
0.4%
4 1
 
0.1%
24 1
 
0.1%
5 1
 
0.1%

Length

2023-09-24T07:29:53.722033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:29:53.929016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 696
66.8%
na 339
32.5%
1 4
 
0.4%
4 1
 
0.1%
24 1
 
0.1%
5 1
 
0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
<NA>
817 
자가
153 
임대
 
72

Length

Max length4
Median length4
Mean length3.5681382
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> 817
78.4%
자가 153
 
14.7%
임대 72
 
6.9%

Length

2023-09-24T07:29:54.187465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:29:54.386453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 817
78.4%
자가 153
 
14.7%
임대 72
 
6.9%

보증액
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
<NA>
780 
0
262 

Length

Max length4
Median length4
Mean length3.2456814
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> 780
74.9%
0 262
 
25.1%

Length

2023-09-24T07:29:54.602797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:29:54.807031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 780
74.9%
0 262
 
25.1%

월세액
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
<NA>
780 
0
262 

Length

Max length4
Median length4
Mean length3.2456814
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> 780
74.9%
0 262
 
25.1%

Length

2023-09-24T07:29:55.022909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-24T07:29:55.198539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 780
74.9%
0 262
 
25.1%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
False
1042 
ValueCountFrequency (%)
False 1042
100.0%
2023-09-24T07:29:55.327264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct98
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3561804
Minimum0
Maximum250.35
Zeros930
Zeros (%)89.3%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-09-24T07:29:55.515880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile18.8805
Maximum250.35
Range250.35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.978298
Coefficient of variation (CV)5.0588155
Kurtosis101.63481
Mean3.3561804
Median Absolute Deviation (MAD)0
Skewness8.9704525
Sum3497.14
Variance288.26259
MonotonicityNot monotonic
2023-09-24T07:29:55.815782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 930
89.3%
4.0 5
 
0.5%
6.0 4
 
0.4%
3.0 3
 
0.3%
12.6 2
 
0.2%
6.25 2
 
0.2%
3.3 2
 
0.2%
32.0 2
 
0.2%
30.0 2
 
0.2%
8.12 2
 
0.2%
Other values (88) 88
 
8.4%
ValueCountFrequency (%)
0.0 930
89.3%
1.0 1
 
0.1%
1.88 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%
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 

Missing1042
Missing (%)100.0%
Memory size9.3 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1042
Missing (%)100.0%
Memory size9.3 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1042
Missing (%)100.0%
Memory size9.3 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
10321033집단급식소식품판매업07_22_01_P34800003480000-122-2020-000012020-07-24<NA>1영업/정상1영업<NA><NA><NA><NA><NA>30.65711-815대구광역시 달성군 다사읍 죽곡리 856-1대구광역시 달성군 다사읍 대실역남로4길 4-1342917빅브라더2022-01-21 14:42:41U2022-01-23 02:40:00집단급식소 식품판매업332469.124591262058.64543집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
10331034집단급식소식품판매업07_22_01_P51410005141000-122-2008-000042008-09-17<NA>1영업/정상1영업<NA><NA><NA><NA>054 383 248313.2<NA>대구광역시 군위군 군위읍 서부리 16-7 군위전통시장대구광역시 군위군 군위읍 중앙5길 4-9, 군위전통시장43115군위상회2023-02-07 18:16:26I2023-07-01 16:42:10집단급식소 식품판매업340827.329152305419.009945집단급식소 식품판매업00<NA><NA>상수도전용00000<NA>00N9.2<NA><NA><NA>
10341035집단급식소식품판매업07_22_01_P51410005141000-122-2010-000012010-06-21<NA>1영업/정상1영업<NA><NA><NA><NA>054 382 6006533.0<NA>대구광역시 군위군 부계면 신화리 734 주건물1대구광역시 군위군 부계면 신화1길 34, 주건물143163경북친환경영농조합법인2023-03-29 16:28:02I2023-07-01 16:42:10집단급식소 식품판매업348226.827358290641.53977집단급식소 식품판매업00<NA><NA>상수도전용00000자가00N0.0<NA><NA><NA>
10351036집단급식소식품판매업07_22_01_P51410005141000-122-2015-000012015-07-21<NA>1영업/정상1영업<NA><NA><NA><NA>054 380 56781398.6<NA>대구광역시 군위군 효령면 고곡리 438대구광역시 군위군 효령면 경북대로 218543137농협경북광역급식센터2022-03-23 10:48:14I2023-07-01 16:42:10집단급식소 식품판매업341575.713236292024.590734집단급식소 식품판매업00<NA><NA>상수도전용00000<NA>00N0.0<NA><NA><NA>
10361037집단급식소식품판매업07_22_01_P51410005141000-122-2016-000012016-08-16<NA>1영업/정상1영업<NA><NA><NA><NA>054 382 123759.4<NA>대구광역시 군위군 군위읍 동부리 670-1대구광역시 군위군 군위읍 군청로 87-3743118도현푸드2020-09-07 09:50:14I2023-07-01 16:42:10집단급식소 식품판매업340928.745905304466.14911집단급식소 식품판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
10371038집단급식소식품판매업07_22_01_P51410005141000-122-2018-000012018-08-16<NA>3폐업2폐업2023-05-15<NA><NA><NA>054 382 123735.28<NA>대구광역시 군위군 군위읍 동부리 667-1대구광역시 군위군 군위읍 군청로 7543118파워식자재마트2023-05-15 15:08:32I2023-07-01 16:42:10집단급식소 식품판매업340974.349132304496.132793집단급식소 식품판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
10381039집단급식소식품판매업07_22_01_P51410005141000-122-2008-000022008-09-03<NA>3폐업2폐업2019-04-25<NA><NA><NA>054 382 702110.75<NA>대구광역시 군위군 의흥면 읍내리 262-16대구광역시 군위군 의흥면 읍내길 6443149대동수퍼2019-04-25 14:12:11I2023-07-01 16:42:10집단급식소 식품판매업354412.749382298434.927228집단급식소 식품판매업00<NA><NA>상수도전용00000<NA>00N6.75<NA><NA><NA>
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