Overview

Dataset statistics

Number of variables47
Number of observations983
Missing cells10306
Missing cells (%)22.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory389.9 KiB
Average record size in memory406.1 B

Variable types

Numeric11
Categorical19
Text6
Unsupported9
DateTime1
Boolean1

Dataset

Description22년10월_6270000_대구광역시_07_22_01_P_집단급식소식품판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096916&dataSetDetailId=DDI_0000096958&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 (61.9%)Imbalance
본사직원수 is highly imbalanced (55.1%)Imbalance
공장사무직직원수 is highly imbalanced (58.5%)Imbalance
공장생산직직원수 is highly imbalanced (60.9%)Imbalance
인허가취소일자 has 983 (100.0%) missing valuesMissing
폐업일자 has 441 (44.9%) missing valuesMissing
휴업시작일자 has 983 (100.0%) missing valuesMissing
휴업종료일자 has 983 (100.0%) missing valuesMissing
재개업일자 has 983 (100.0%) missing valuesMissing
소재지전화 has 391 (39.8%) missing valuesMissing
소재지면적 has 46 (4.7%) missing valuesMissing
도로명전체주소 has 91 (9.3%) missing valuesMissing
도로명우편번호 has 95 (9.7%) missing valuesMissing
좌표정보(X) has 11 (1.1%) missing valuesMissing
좌표정보(Y) has 11 (1.1%) missing valuesMissing
영업장주변구분명 has 983 (100.0%) missing valuesMissing
등급구분명 has 983 (100.0%) missing valuesMissing
공장판매직직원수 has 364 (37.0%) missing valuesMissing
전통업소지정번호 has 983 (100.0%) missing valuesMissing
전통업소주된음식 has 983 (100.0%) missing valuesMissing
홈페이지 has 983 (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
공장판매직직원수 has 595 (60.5%) zerosZeros
시설총규모 has 885 (90.0%) zerosZeros

Reproduction

Analysis started2023-12-10 19:27:06.835610
Analysis finished2023-12-10 19:27:07.905164
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct983
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean492
Minimum1
Maximum983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T04:27:07.990030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.1
Q1246.5
median492
Q3737.5
95-th percentile933.9
Maximum983
Range982
Interquartile range (IQR)491

Descriptive statistics

Standard deviation283.91196
Coefficient of variation (CV)0.57705683
Kurtosis-1.2
Mean492
Median Absolute Deviation (MAD)246
Skewness0
Sum483636
Variance80606
MonotonicityStrictly increasing
2023-12-11T04:27:08.160898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
647 1
 
0.1%
649 1
 
0.1%
650 1
 
0.1%
651 1
 
0.1%
652 1
 
0.1%
653 1
 
0.1%
654 1
 
0.1%
655 1
 
0.1%
656 1
 
0.1%
Other values (973) 973
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 (%)
983 1
0.1%
982 1
0.1%
981 1
0.1%
980 1
0.1%
979 1
0.1%
978 1
0.1%
977 1
0.1%
976 1
0.1%
975 1
0.1%
974 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
집단급식소식품판매업
983 

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 983
100.0%

Length

2023-12-11T04:27:08.340202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:08.429853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소식품판매업 983
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
07_22_01_P
983 

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 983
100.0%

Length

2023-12-11T04:27:08.539752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:08.635849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_01_p 983
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3448769.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T04:27:08.713436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13450000
median3450000
Q33450000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16202.97
Coefficient of variation (CV)0.0046981893
Kurtosis-0.0086713977
Mean3448769.1
Median Absolute Deviation (MAD)0
Skewness-0.23055317
Sum3.39014 × 109
Variance2.6253623 × 108
MonotonicityIncreasing
2023-12-11T04:27:08.872878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 520
52.9%
3420000 111
 
11.3%
3470000 97
 
9.9%
3430000 66
 
6.7%
3480000 66
 
6.7%
3460000 60
 
6.1%
3440000 48
 
4.9%
3410000 15
 
1.5%
ValueCountFrequency (%)
3410000 15
 
1.5%
3420000 111
 
11.3%
3430000 66
 
6.7%
3440000 48
 
4.9%
3450000 520
52.9%
3460000 60
 
6.1%
3470000 97
 
9.9%
3480000 66
 
6.7%
ValueCountFrequency (%)
3480000 66
 
6.7%
3470000 97
 
9.9%
3460000 60
 
6.1%
3450000 520
52.9%
3440000 48
 
4.9%
3430000 66
 
6.7%
3420000 111
 
11.3%
3410000 15
 
1.5%

관리번호
Text

UNIQUE 

Distinct983
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
2023-12-11T04:27:09.127919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters21626
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

Unique983 ?
Unique (%)100.0%

Sample

1st row3410000-122-2021-00001
2nd row3410000-122-2017-00001
3rd row3410000-122-2008-00001
4th row3410000-122-2012-00001
5th row3410000-122-2014-00001
ValueCountFrequency (%)
3410000-122-2021-00001 1
 
0.1%
3450000-122-2012-00011 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%
3450000-122-2012-00006 1
 
0.1%
3450000-122-2012-00024 1
 
0.1%
3450000-122-2016-00006 1
 
0.1%
Other values (973) 973
99.0%
2023-12-11T04:27:09.493119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8799
40.7%
2 3587
16.6%
- 2949
 
13.6%
1 2061
 
9.5%
3 1279
 
5.9%
4 1215
 
5.6%
5 713
 
3.3%
8 382
 
1.8%
7 238
 
1.1%
6 224
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18677
86.4%
Dash Punctuation 2949
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8799
47.1%
2 3587
19.2%
1 2061
 
11.0%
3 1279
 
6.8%
4 1215
 
6.5%
5 713
 
3.8%
8 382
 
2.0%
7 238
 
1.3%
6 224
 
1.2%
9 179
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 2949
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21626
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8799
40.7%
2 3587
16.6%
- 2949
 
13.6%
1 2061
 
9.5%
3 1279
 
5.9%
4 1215
 
5.6%
5 713
 
3.3%
8 382
 
1.8%
7 238
 
1.1%
6 224
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21626
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8799
40.7%
2 3587
16.6%
- 2949
 
13.6%
1 2061
 
9.5%
3 1279
 
5.9%
4 1215
 
5.6%
5 713
 
3.3%
8 382
 
1.8%
7 238
 
1.1%
6 224
 
1.0%

인허가일자
Real number (ℝ)

Distinct734
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20141978
Minimum20080314
Maximum20221024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T04:27:09.662771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080314
5-th percentile20080703
Q120100510
median20141008
Q320180618
95-th percentile20220104
Maximum20221024
Range140710
Interquartile range (IQR)80107.5

Descriptive statistics

Standard deviation45453.3
Coefficient of variation (CV)0.0022566453
Kurtosis-1.2611952
Mean20141978
Median Absolute Deviation (MAD)40113
Skewness0.098307555
Sum1.9799564 × 1010
Variance2.0660025 × 109
MonotonicityNot monotonic
2023-12-11T04:27:09.832298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080911 21
 
2.1%
20080909 8
 
0.8%
20080725 7
 
0.7%
20080828 6
 
0.6%
20100707 5
 
0.5%
20080912 5
 
0.5%
20110530 5
 
0.5%
20080827 4
 
0.4%
20080902 4
 
0.4%
20080901 4
 
0.4%
Other values (724) 914
93.0%
ValueCountFrequency (%)
20080314 1
 
0.1%
20080317 1
 
0.1%
20080318 2
0.2%
20080320 1
 
0.1%
20080321 1
 
0.1%
20080324 2
0.2%
20080328 1
 
0.1%
20080401 1
 
0.1%
20080403 2
0.2%
20080404 3
0.3%
ValueCountFrequency (%)
20221024 1
0.1%
20221007 1
0.1%
20220926 1
0.1%
20220921 1
0.1%
20220919 1
0.1%
20220915 1
0.1%
20220914 1
0.1%
20220908 1
0.1%
20220907 1
0.1%
20220829 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing983
Missing (%)100.0%
Memory size8.8 KiB
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
3
542 
1
441 

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 (%)
3 542
55.1%
1 441
44.9%

Length

2023-12-11T04:27:09.987319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:10.081786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 542
55.1%
1 441
44.9%

영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
폐업
542 
영업/정상
441 

Length

Max length5
Median length2
Mean length3.34588
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 542
55.1%
영업/정상 441
44.9%

Length

2023-12-11T04:27:10.185854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:10.281081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 542
55.1%
영업/정상 441
44.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
2
542 
1
441 

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 (%)
2 542
55.1%
1 441
44.9%

Length

2023-12-11T04:27:10.375944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:10.467408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 542
55.1%
1 441
44.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
폐업
542 
영업
441 

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 542
55.1%
영업 441
44.9%

Length

2023-12-11T04:27:10.562522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:10.649683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 542
55.1%
영업 441
44.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct470
Distinct (%)86.7%
Missing441
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean20159486
Minimum20080414
Maximum20221012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T04:27:10.758789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080414
5-th percentile20100422
Q120130354
median20161102
Q320190402
95-th percentile20211228
Maximum20221012
Range140598
Interquartile range (IQR)60049

Descriptive statistics

Standard deviation36446.634
Coefficient of variation (CV)0.0018079149
Kurtosis-0.94427373
Mean20159486
Median Absolute Deviation (MAD)29978
Skewness-0.18817209
Sum1.0926441 × 1010
Variance1.3283572 × 109
MonotonicityNot monotonic
2023-12-11T04:27:10.935656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161102 6
 
0.6%
20211228 5
 
0.5%
20210813 3
 
0.3%
20201231 3
 
0.3%
20161230 3
 
0.3%
20160623 3
 
0.3%
20100728 3
 
0.3%
20211214 3
 
0.3%
20190604 3
 
0.3%
20171229 3
 
0.3%
Other values (460) 507
51.6%
(Missing) 441
44.9%
ValueCountFrequency (%)
20080414 1
0.1%
20080415 1
0.1%
20080908 1
0.1%
20080917 1
0.1%
20081110 1
0.1%
20090107 1
0.1%
20090114 1
0.1%
20090202 1
0.1%
20090223 1
0.1%
20090409 1
0.1%
ValueCountFrequency (%)
20221012 1
0.1%
20221005 1
0.1%
20220920 1
0.1%
20220831 1
0.1%
20220823 1
0.1%
20220817 1
0.1%
20220804 1
0.1%
20220726 1
0.1%
20220624 1
0.1%
20220609 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing983
Missing (%)100.0%
Memory size8.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing983
Missing (%)100.0%
Memory size8.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing983
Missing (%)100.0%
Memory size8.8 KiB

소재지전화
Text

MISSING 

Distinct540
Distinct (%)91.2%
Missing391
Missing (%)39.8%
Memory size7.8 KiB
2023-12-11T04:27:11.259054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.775338
Min length8

Characters and Unicode

Total characters6971
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

Unique497 ?
Unique (%)84.0%

Sample

1st row053 254 6221
2nd row053 768 4620
3rd row053 7684620
4th row0532556088
5th row053 2547772
ValueCountFrequency (%)
053 527
32.7%
311 24
 
1.5%
070 20
 
1.2%
312 17
 
1.1%
313 16
 
1.0%
314 11
 
0.7%
321 10
 
0.6%
981 9
 
0.6%
323 9
 
0.6%
322 8
 
0.5%
Other values (682) 962
59.6%
2023-12-11T04:27:11.695080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1067
15.3%
5 1057
15.2%
1023
14.7%
0 991
14.2%
1 514
7.4%
2 490
7.0%
6 436
6.3%
7 380
 
5.5%
8 367
 
5.3%
4 324
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5948
85.3%
Space Separator 1023
 
14.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1067
17.9%
5 1057
17.8%
0 991
16.7%
1 514
8.6%
2 490
8.2%
6 436
7.3%
7 380
 
6.4%
8 367
 
6.2%
4 324
 
5.4%
9 322
 
5.4%
Space Separator
ValueCountFrequency (%)
1023
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6971
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1067
15.3%
5 1057
15.2%
1023
14.7%
0 991
14.2%
1 514
7.4%
2 490
7.0%
6 436
6.3%
7 380
 
5.5%
8 367
 
5.3%
4 324
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6971
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1067
15.3%
5 1057
15.2%
1023
14.7%
0 991
14.2%
1 514
7.4%
2 490
7.0%
6 436
6.3%
7 380
 
5.5%
8 367
 
5.3%
4 324
 
4.6%

소재지면적
Text

MISSING 

Distinct633
Distinct (%)67.6%
Missing46
Missing (%)4.7%
Memory size7.8 KiB
2023-12-11T04:27:12.095286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.244397
Min length3

Characters and Unicode

Total characters4914
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique522 ?
Unique (%)55.7%

Sample

1st row50.00
2nd row100.00
3rd row33.64
4th row24.00
5th row62.27
ValueCountFrequency (%)
00 23
 
2.5%
66.00 20
 
2.1%
33.00 18
 
1.9%
60.00 15
 
1.6%
30.00 15
 
1.6%
20.00 12
 
1.3%
10.00 10
 
1.1%
132.00 10
 
1.1%
100.00 9
 
1.0%
40.00 8
 
0.9%
Other values (623) 797
85.1%
2023-12-11T04:27:12.635010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1245
25.3%
. 937
19.1%
1 426
 
8.7%
2 374
 
7.6%
6 336
 
6.8%
5 318
 
6.5%
3 309
 
6.3%
4 287
 
5.8%
9 254
 
5.2%
8 248
 
5.0%
Other values (2) 180
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3976
80.9%
Other Punctuation 938
 
19.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1245
31.3%
1 426
 
10.7%
2 374
 
9.4%
6 336
 
8.5%
5 318
 
8.0%
3 309
 
7.8%
4 287
 
7.2%
9 254
 
6.4%
8 248
 
6.2%
7 179
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 937
99.9%
, 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 4914
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1245
25.3%
. 937
19.1%
1 426
 
8.7%
2 374
 
7.6%
6 336
 
6.8%
5 318
 
6.5%
3 309
 
6.3%
4 287
 
5.8%
9 254
 
5.2%
8 248
 
5.0%
Other values (2) 180
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4914
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1245
25.3%
. 937
19.1%
1 426
 
8.7%
2 374
 
7.6%
6 336
 
6.8%
5 318
 
6.5%
3 309
 
6.3%
4 287
 
5.8%
9 254
 
5.2%
8 248
 
5.0%
Other values (2) 180
 
3.7%

소재지우편번호
Real number (ℝ)

Distinct283
Distinct (%)29.0%
Missing8
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean703787.38
Minimum700082
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T04:27:12.795170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700082
5-th percentile701815.4
Q1702320
median702863
Q3704807
95-th percentile711814
Maximum711892
Range11810
Interquartile range (IQR)2487

Descriptive statistics

Standard deviation2458.6761
Coefficient of variation (CV)0.0034934927
Kurtosis4.2722831
Mean703787.38
Median Absolute Deviation (MAD)563
Skewness2.1094944
Sum6.861927 × 108
Variance6045088.2
MonotonicityNot monotonic
2023-12-11T04:27:12.948493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
702300 79
 
8.0%
702825 67
 
6.8%
702903 35
 
3.6%
702845 22
 
2.2%
702867 20
 
2.0%
702090 18
 
1.8%
702877 18
 
1.8%
702847 18
 
1.8%
702865 17
 
1.7%
702802 15
 
1.5%
Other values (273) 666
67.8%
ValueCountFrequency (%)
700082 1
 
0.1%
700111 1
 
0.1%
700261 1
 
0.1%
700320 1
 
0.1%
700801 1
 
0.1%
700808 1
 
0.1%
700824 1
 
0.1%
700837 1
 
0.1%
700841 1
 
0.1%
700845 3
0.3%
ValueCountFrequency (%)
711892 1
 
0.1%
711874 4
0.4%
711873 1
 
0.1%
711872 1
 
0.1%
711858 2
0.2%
711856 2
0.2%
711855 1
 
0.1%
711852 3
0.3%
711844 3
0.3%
711843 2
0.2%
Distinct754
Distinct (%)76.8%
Missing1
Missing (%)0.1%
Memory size7.8 KiB
2023-12-11T04:27:13.302015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length21.008147
Min length16

Characters and Unicode

Total characters20630
Distinct characters208
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

Unique629 ?
Unique (%)64.1%

Sample

1st row대구광역시 중구 서성로1가 0089-0002 1층
2nd row대구광역시 중구 교동 0067-0012 교동시장 2층60호
3rd row대구광역시 중구 동인동3가 0289-0001 지상 1층
4th row대구광역시 중구 동인동3가 0330-0004 지상1층
5th row대구광역시 중구 태평로1가 0023-0001 태평아파트 1동 21호
ValueCountFrequency (%)
대구광역시 982
22.9%
북구 520
 
12.1%
동구 109
 
2.5%
달서구 97
 
2.3%
금호동 79
 
1.8%
매천동 77
 
1.8%
달성군 66
 
1.5%
태전동 66
 
1.5%
서구 66
 
1.5%
수성구 61
 
1.4%
Other values (954) 2163
50.5%
2023-12-11T04:27:13.818933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4273
20.7%
1925
 
9.3%
1089
 
5.3%
1025
 
5.0%
995
 
4.8%
983
 
4.8%
983
 
4.8%
1 912
 
4.4%
- 723
 
3.5%
2 538
 
2.6%
Other values (198) 7184
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10950
53.1%
Decimal Number 4517
21.9%
Space Separator 4273
 
20.7%
Dash Punctuation 723
 
3.5%
Open Punctuation 58
 
0.3%
Close Punctuation 58
 
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 (%)
1925
17.6%
1089
 
9.9%
1025
 
9.4%
995
 
9.1%
983
 
9.0%
983
 
9.0%
524
 
4.8%
223
 
2.0%
187
 
1.7%
163
 
1.5%
Other values (173) 2853
26.1%
Decimal Number
ValueCountFrequency (%)
1 912
20.2%
2 538
11.9%
0 534
11.8%
3 454
10.1%
4 418
9.3%
8 365
8.1%
7 360
 
8.0%
5 354
 
7.8%
6 312
 
6.9%
9 270
 
6.0%
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 (%)
4273
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 723
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10950
53.1%
Common 9657
46.8%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1925
17.6%
1089
 
9.9%
1025
 
9.4%
995
 
9.1%
983
 
9.0%
983
 
9.0%
524
 
4.8%
223
 
2.0%
187
 
1.7%
163
 
1.5%
Other values (173) 2853
26.1%
Common
ValueCountFrequency (%)
4273
44.2%
1 912
 
9.4%
- 723
 
7.5%
2 538
 
5.6%
0 534
 
5.5%
3 454
 
4.7%
4 418
 
4.3%
8 365
 
3.8%
7 360
 
3.7%
5 354
 
3.7%
Other values (10) 726
 
7.5%
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 10950
53.1%
ASCII 9680
46.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4273
44.1%
1 912
 
9.4%
- 723
 
7.5%
2 538
 
5.6%
0 534
 
5.5%
3 454
 
4.7%
4 418
 
4.3%
8 365
 
3.8%
7 360
 
3.7%
5 354
 
3.7%
Other values (15) 749
 
7.7%
Hangul
ValueCountFrequency (%)
1925
17.6%
1089
 
9.9%
1025
 
9.4%
995
 
9.1%
983
 
9.0%
983
 
9.0%
524
 
4.8%
223
 
2.0%
187
 
1.7%
163
 
1.5%
Other values (173) 2853
26.1%

도로명전체주소
Text

MISSING 

Distinct766
Distinct (%)85.9%
Missing91
Missing (%)9.3%
Memory size7.8 KiB
2023-12-11T04:27:14.181019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length28.480942
Min length20

Characters and Unicode

Total characters25405
Distinct characters246
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

Unique681 ?
Unique (%)76.3%

Sample

1st row대구광역시 중구 서성로 59, 1층 (서성로1가)
2nd row대구광역시 중구 교동길 40, 교동시장 2층60호 (교동)
3rd row대구광역시 중구 국채보상로149길 73, 지상 1층 (동인동3가)
4th row대구광역시 중구 국채보상로149길 100 (동인동3가, 지상1층)
5th row대구광역시 중구 태평로 205 (태평로1가, 태평아파트 1동 21호)
ValueCountFrequency (%)
대구광역시 892
 
17.2%
북구 491
 
9.4%
1층 373
 
7.2%
동구 93
 
1.8%
달서구 88
 
1.7%
금호동 75
 
1.4%
태전동 59
 
1.1%
매천동 59
 
1.1%
서구 57
 
1.1%
달성군 56
 
1.1%
Other values (1065) 2953
56.8%
2023-12-11T04:27:14.739645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4304
 
16.9%
1807
 
7.1%
1 1353
 
5.3%
1107
 
4.4%
1053
 
4.1%
915
 
3.6%
898
 
3.5%
893
 
3.5%
) 869
 
3.4%
( 869
 
3.4%
Other values (236) 11337
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14162
55.7%
Space Separator 4304
 
16.9%
Decimal Number 4184
 
16.5%
Close Punctuation 869
 
3.4%
Open Punctuation 869
 
3.4%
Other Punctuation 676
 
2.7%
Dash Punctuation 299
 
1.2%
Uppercase Letter 38
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1807
 
12.8%
1107
 
7.8%
1053
 
7.4%
915
 
6.5%
898
 
6.3%
893
 
6.3%
774
 
5.5%
663
 
4.7%
532
 
3.8%
514
 
3.6%
Other values (213) 5006
35.3%
Decimal Number
ValueCountFrequency (%)
1 1353
32.3%
2 579
13.8%
3 472
 
11.3%
5 304
 
7.3%
4 282
 
6.7%
0 257
 
6.1%
6 248
 
5.9%
8 246
 
5.9%
7 237
 
5.7%
9 206
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 21
55.3%
B 13
34.2%
C 3
 
7.9%
M 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 673
99.6%
. 2
 
0.3%
/ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
+ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
4304
100.0%
Close Punctuation
ValueCountFrequency (%)
) 869
100.0%
Open Punctuation
ValueCountFrequency (%)
( 869
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 299
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14162
55.7%
Common 11205
44.1%
Latin 38
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1807
 
12.8%
1107
 
7.8%
1053
 
7.4%
915
 
6.5%
898
 
6.3%
893
 
6.3%
774
 
5.5%
663
 
4.7%
532
 
3.8%
514
 
3.6%
Other values (213) 5006
35.3%
Common
ValueCountFrequency (%)
4304
38.4%
1 1353
 
12.1%
) 869
 
7.8%
( 869
 
7.8%
, 673
 
6.0%
2 579
 
5.2%
3 472
 
4.2%
5 304
 
2.7%
- 299
 
2.7%
4 282
 
2.5%
Other values (9) 1201
 
10.7%
Latin
ValueCountFrequency (%)
A 21
55.3%
B 13
34.2%
C 3
 
7.9%
M 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14162
55.7%
ASCII 11243
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4304
38.3%
1 1353
 
12.0%
) 869
 
7.7%
( 869
 
7.7%
, 673
 
6.0%
2 579
 
5.1%
3 472
 
4.2%
5 304
 
2.7%
- 299
 
2.7%
4 282
 
2.5%
Other values (13) 1239
 
11.0%
Hangul
ValueCountFrequency (%)
1807
 
12.8%
1107
 
7.8%
1053
 
7.4%
915
 
6.5%
898
 
6.3%
893
 
6.3%
774
 
5.5%
663
 
4.7%
532
 
3.8%
514
 
3.6%
Other values (213) 5006
35.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct348
Distinct (%)39.2%
Missing95
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean41777.565
Minimum41002
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T04:27:15.248961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41129
Q141459
median41498
Q342157
95-th percentile42919.6
Maximum43024
Range2022
Interquartile range (IQR)698

Descriptive statistics

Standard deviation543.39724
Coefficient of variation (CV)0.013006915
Kurtosis-0.32521362
Mean41777.565
Median Absolute Deviation (MAD)100
Skewness0.99991324
Sum37098478
Variance295280.56
MonotonicityNot monotonic
2023-12-11T04:27:15.437645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41598 57
 
5.8%
41485 48
 
4.9%
41490 45
 
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 (338) 628
63.9%
(Missing) 95
 
9.7%
ValueCountFrequency (%)
41002 3
0.3%
41007 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%
41065 1
 
0.1%
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%
Distinct885
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
2023-12-11T04:27:15.792055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length6.1363174
Min length1

Characters and Unicode

Total characters6032
Distinct characters405
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

Unique808 ?
Unique (%)82.2%

Sample

1st row고소미소
2nd row진솔
3rd row자연식품
4th row메디푸드
5th row(주)우리농산
ValueCountFrequency (%)
주식회사 45
 
4.2%
농업회사법인 7
 
0.7%
월배농협 5
 
0.5%
4
 
0.4%
대성식품 4
 
0.4%
성림상사 4
 
0.4%
아이누리 3
 
0.3%
대진식품 3
 
0.3%
유통 3
 
0.3%
그린유통 3
 
0.3%
Other values (900) 991
92.4%
2023-12-11T04:27:16.313407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
298
 
4.9%
291
 
4.8%
258
 
4.3%
201
 
3.3%
) 192
 
3.2%
( 186
 
3.1%
151
 
2.5%
137
 
2.3%
135
 
2.2%
135
 
2.2%
Other values (395) 4048
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5467
90.6%
Close Punctuation 192
 
3.2%
Open Punctuation 186
 
3.1%
Space Separator 89
 
1.5%
Uppercase Letter 52
 
0.9%
Lowercase Letter 22
 
0.4%
Decimal Number 13
 
0.2%
Other Punctuation 9
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
298
 
5.5%
291
 
5.3%
258
 
4.7%
201
 
3.7%
151
 
2.8%
137
 
2.5%
135
 
2.5%
135
 
2.5%
129
 
2.4%
120
 
2.2%
Other values (354) 3612
66.1%
Uppercase Letter
ValueCountFrequency (%)
S 9
17.3%
F 9
17.3%
G 4
 
7.7%
H 4
 
7.7%
D 4
 
7.7%
T 3
 
5.8%
M 3
 
5.8%
B 2
 
3.8%
Y 2
 
3.8%
O 2
 
3.8%
Other values (8) 10
19.2%
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%
t 1
 
4.5%
h 1
 
4.5%
r 1
 
4.5%
l 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
5 6
46.2%
2 2
 
15.4%
6 2
 
15.4%
3 1
 
7.7%
1 1
 
7.7%
4 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
& 6
66.7%
. 3
33.3%
Close Punctuation
ValueCountFrequency (%)
) 192
100.0%
Open Punctuation
ValueCountFrequency (%)
( 186
100.0%
Space Separator
ValueCountFrequency (%)
89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5467
90.6%
Common 491
 
8.1%
Latin 74
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
298
 
5.5%
291
 
5.3%
258
 
4.7%
201
 
3.7%
151
 
2.8%
137
 
2.5%
135
 
2.5%
135
 
2.5%
129
 
2.4%
120
 
2.2%
Other values (354) 3612
66.1%
Latin
ValueCountFrequency (%)
S 9
 
12.2%
F 9
 
12.2%
f 4
 
5.4%
o 4
 
5.4%
G 4
 
5.4%
H 4
 
5.4%
D 4
 
5.4%
T 3
 
4.1%
e 3
 
4.1%
M 3
 
4.1%
Other values (19) 27
36.5%
Common
ValueCountFrequency (%)
) 192
39.1%
( 186
37.9%
89
18.1%
5 6
 
1.2%
& 6
 
1.2%
. 3
 
0.6%
2 2
 
0.4%
6 2
 
0.4%
- 2
 
0.4%
3 1
 
0.2%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5467
90.6%
ASCII 565
 
9.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
298
 
5.5%
291
 
5.3%
258
 
4.7%
201
 
3.7%
151
 
2.8%
137
 
2.5%
135
 
2.5%
135
 
2.5%
129
 
2.4%
120
 
2.2%
Other values (354) 3612
66.1%
ASCII
ValueCountFrequency (%)
) 192
34.0%
( 186
32.9%
89
15.8%
S 9
 
1.6%
F 9
 
1.6%
5 6
 
1.1%
& 6
 
1.1%
f 4
 
0.7%
o 4
 
0.7%
G 4
 
0.7%
Other values (31) 56
 
9.9%

최종수정시점
Real number (ℝ)

Distinct981
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0167863 × 1013
Minimum2.0080402 × 1013
Maximum2.0221024 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T04:27:16.534297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0080402 × 1013
5-th percentile2.0080938 × 1013
Q12.0131121 × 1013
median2.0180329 × 1013
Q32.0201203 × 1013
95-th percentile2.0220422 × 1013
Maximum2.0221024 × 1013
Range1.4062199 × 1011
Interquartile range (IQR)7.0081986 × 1010

Descriptive statistics

Standard deviation4.2830614 × 1010
Coefficient of variation (CV)0.0021237061
Kurtosis-0.82984346
Mean2.0167863 × 1013
Median Absolute Deviation (MAD)3.0124959 × 1010
Skewness-0.60632943
Sum1.9825009 × 1016
Variance1.8344615 × 1021
MonotonicityNot monotonic
2023-12-11T04:27:16.798743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140123160035 3
 
0.3%
20220428144423 1
 
0.1%
20120323094327 1
 
0.1%
20220817110340 1
 
0.1%
20180226144743 1
 
0.1%
20211208154422 1
 
0.1%
20160510103355 1
 
0.1%
20130705130907 1
 
0.1%
20120314120734 1
 
0.1%
20121210120533 1
 
0.1%
Other values (971) 971
98.8%
ValueCountFrequency (%)
20080402175353 1
0.1%
20080402175557 1
0.1%
20080403140842 1
0.1%
20080404093735 1
0.1%
20080410145449 1
0.1%
20080417150300 1
0.1%
20080421102155 1
0.1%
20080428192647 1
0.1%
20080502100223 1
0.1%
20080513144939 1
0.1%
ValueCountFrequency (%)
20221024165544 1
0.1%
20221024163911 1
0.1%
20221024122947 1
0.1%
20221021142159 1
0.1%
20221012140834 1
0.1%
20221012090533 1
0.1%
20221005184511 1
0.1%
20221005140839 1
0.1%
20220926164035 1
0.1%
20220926163809 1
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
I
597 
U
386 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 597
60.7%
U 386
39.3%

Length

2023-12-11T04:27:16.984444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:17.133487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 597
60.7%
u 386
39.3%
Distinct358
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
Minimum2018-08-31 23:59:59
Maximum2022-10-26 02:40:00
2023-12-11T04:27:17.279108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:27:17.502594image/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 size7.8 KiB
집단급식소 식품판매업
983 

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 983
100.0%

Length

2023-12-11T04:27:17.712086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:17.850866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 983
50.0%
식품판매업 983
50.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct691
Distinct (%)71.1%
Missing11
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean341268.64
Minimum327472.66
Maximum358028.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T04:27:17.996804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327472.66
5-th percentile334817.16
Q1338793.85
median339991.4
Q3344116.57
95-th percentile352406.25
Maximum358028.91
Range30556.245
Interquartile range (IQR)5322.7126

Descriptive statistics

Standard deviation4980.1904
Coefficient of variation (CV)0.014593168
Kurtosis1.081579
Mean341268.64
Median Absolute Deviation (MAD)2093.714
Skewness0.71981836
Sum3.3171311 × 108
Variance24802296
MonotonicityNot monotonic
2023-12-11T04:27:18.189671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345327.736683 16
 
1.6%
339388.690364 14
 
1.4%
338985.366314 10
 
1.0%
340226.615391 10
 
1.0%
339243.983122 10
 
1.0%
337154.796355 9
 
0.9%
340582.375042 9
 
0.9%
336942.357147 7
 
0.7%
337092.660643 5
 
0.5%
340219.667217 5
 
0.5%
Other values (681) 877
89.2%
(Missing) 11
 
1.1%
ValueCountFrequency (%)
327472.663129 2
0.2%
327605.063942 1
 
0.1%
327735.044524 3
0.3%
329271.879011 1
 
0.1%
330037.52576 1
 
0.1%
330099.303114 1
 
0.1%
330260.716912 1
 
0.1%
330324.023854 1
 
0.1%
330345.524542 1
 
0.1%
330420.236793 1
 
0.1%
ValueCountFrequency (%)
358028.908241 1
0.1%
356477.205726 1
0.1%
356390.881046 2
0.2%
356300.247422 1
0.1%
356292.703687 1
0.1%
356230.323996 2
0.2%
355918.922117 1
0.1%
355757.722943 1
0.1%
355664.210921 1
0.1%
354807.18518 2
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct692
Distinct (%)71.2%
Missing11
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean265901.77
Minimum238824.51
Maximum275582
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T04:27:18.396548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238824.51
5-th percentile257711.44
Q1263325.61
median267002.47
Q3268763.26
95-th percentile273124.52
Maximum275582
Range36757.498
Interquartile range (IQR)5437.656

Descriptive statistics

Standard deviation5049.862
Coefficient of variation (CV)0.018991457
Kurtosis4.1242689
Mean265901.77
Median Absolute Deviation (MAD)2557.6132
Skewness-1.4020489
Sum2.5845652 × 108
Variance25501106
MonotonicityNot monotonic
2023-12-11T04:27:18.642893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268763.26426 16
 
1.6%
269664.126149 14
 
1.4%
267354.446312 10
 
1.0%
267982.433067 10
 
1.0%
268026.454531 10
 
1.0%
267164.64487 9
 
0.9%
274811.331596 9
 
0.9%
267202.145515 7
 
0.7%
273735.131409 5
 
0.5%
267922.07023 5
 
0.5%
Other values (682) 877
89.2%
(Missing) 11
 
1.1%
ValueCountFrequency (%)
238824.505921 1
0.1%
242311.21229 1
0.1%
242810.190989 1
0.1%
244698.0 1
0.1%
244743.873468 1
0.1%
244744.379191 1
0.1%
244757.142677 1
0.1%
244837.601198 1
0.1%
244839.424611 1
0.1%
244969.755873 1
0.1%
ValueCountFrequency (%)
275582.004218 1
 
0.1%
274811.331596 9
0.9%
274594.894588 1
 
0.1%
274508.218106 1
 
0.1%
273735.131409 5
0.5%
273679.002021 1
 
0.1%
273673.031238 4
0.4%
273655.735676 2
 
0.2%
273554.526036 1
 
0.1%
273531.001756 3
 
0.3%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
집단급식소 식품판매업
983 

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 983
100.0%

Length

2023-12-11T04:27:18.836400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:18.964114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 983
50.0%
식품판매업 983
50.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
<NA>
833 
0
150 

Length

Max length4
Median length4
Mean length3.5422177
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 833
84.7%
0 150
 
15.3%

Length

2023-12-11T04:27:19.128577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:19.276167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 833
84.7%
0 150
 
15.3%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
<NA>
833 
0
150 

Length

Max length4
Median length4
Mean length3.5422177
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 833
84.7%
0 150
 
15.3%

Length

2023-12-11T04:27:19.444722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:19.590618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 833
84.7%
0 150
 
15.3%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing983
Missing (%)100.0%
Memory size8.8 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing983
Missing (%)100.0%
Memory size8.8 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
<NA>
776 
상수도전용
205 
간이상수도
 
1
지하수전용
 
1

Length

Max length5
Median length4
Mean length4.2105799
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 776
78.9%
상수도전용 205
 
20.9%
간이상수도 1
 
0.1%
지하수전용 1
 
0.1%

Length

2023-12-11T04:27:19.757780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:19.916278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 776
78.9%
상수도전용 205
 
20.9%
간이상수도 1
 
0.1%
지하수전용 1
 
0.1%

총직원수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
<NA>
833 
0
150 

Length

Max length4
Median length4
Mean length3.5422177
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 833
84.7%
0 150
 
15.3%

Length

2023-12-11T04:27:20.095587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:20.258332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 833
84.7%
0 150
 
15.3%

본사직원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
0
609 
<NA>
363 
2
 
8
1
 
2
4
 
1

Length

Max length4
Median length1
Mean length2.1078332
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 609
62.0%
<NA> 363
36.9%
2 8
 
0.8%
1 2
 
0.2%
4 1
 
0.1%

Length

2023-12-11T04:27:20.453531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:20.648403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 609
62.0%
na 363
36.9%
2 8
 
0.8%
1 2
 
0.2%
4 1
 
0.1%

공장사무직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
0
604 
<NA>
365 
1
 
7
3
 
5
5
 
1

Length

Max length4
Median length1
Mean length2.1139369
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 604
61.4%
<NA> 365
37.1%
1 7
 
0.7%
3 5
 
0.5%
5 1
 
0.1%
2 1
 
0.1%

Length

2023-12-11T04:27:20.854654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:21.037861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 604
61.4%
na 365
37.1%
1 7
 
0.7%
3 5
 
0.5%
5 1
 
0.1%
2 1
 
0.1%

공장판매직직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)1.3%
Missing364
Missing (%)37.0%
Infinite0
Infinite (%)0.0%
Mean0.11470113
Minimum0
Maximum15
Zeros595
Zeros (%)60.5%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T04:27:21.222838image/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 deviation0.82129448
Coefficient of variation (CV)7.1602998
Kurtosis187.34519
Mean0.11470113
Median Absolute Deviation (MAD)0
Skewness12.057311
Sum71
Variance0.67452463
MonotonicityNot monotonic
2023-12-11T04:27:21.400498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 595
60.5%
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) 364
37.0%
ValueCountFrequency (%)
0 595
60.5%
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%
0 595
60.5%

공장생산직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
0
613 
<NA>
364 
1
 
3
4
 
1
5
 
1

Length

Max length4
Median length1
Mean length2.1119023
Min length1

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 613
62.4%
<NA> 364
37.0%
1 3
 
0.3%
4 1
 
0.1%
5 1
 
0.1%
24 1
 
0.1%

Length

2023-12-11T04:27:21.656116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:21.851300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 613
62.4%
na 364
37.0%
1 3
 
0.3%
4 1
 
0.1%
5 1
 
0.1%
24 1
 
0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
<NA>
797 
자가
117 
임대
 
69

Length

Max length4
Median length4
Mean length3.6215666
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 797
81.1%
자가 117
 
11.9%
임대 69
 
7.0%

Length

2023-12-11T04:27:22.042267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:22.220319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 797
81.1%
자가 117
 
11.9%
임대 69
 
7.0%

보증액
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
<NA>
833 
0
150 

Length

Max length4
Median length4
Mean length3.5422177
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 833
84.7%
0 150
 
15.3%

Length

2023-12-11T04:27:22.432730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:22.590639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 833
84.7%
0 150
 
15.3%

월세액
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
<NA>
833 
0
150 

Length

Max length4
Median length4
Mean length3.5422177
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 833
84.7%
0 150
 
15.3%

Length

2023-12-11T04:27:22.768518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:22.947384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 833
84.7%
0 150
 
15.3%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
False
983 
ValueCountFrequency (%)
False 983
100.0%
2023-12-11T04:27:23.078221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct85
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2205493
Minimum0
Maximum250.35
Zeros885
Zeros (%)90.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T04:27:23.296456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17.088
Maximum250.35
Range250.35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.062967
Coefficient of variation (CV)5.2981543
Kurtosis105.42079
Mean3.2205493
Median Absolute Deviation (MAD)0
Skewness9.2265464
Sum3165.8
Variance291.14485
MonotonicityNot monotonic
2023-12-11T04:27:23.531652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 885
90.0%
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%
32.0 2
 
0.2%
8.12 2
 
0.2%
30.0 2
 
0.2%
46.0 1
 
0.1%
Other values (75) 75
 
7.6%
ValueCountFrequency (%)
0.0 885
90.0%
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%
3.62 1
 
0.1%
3.63 1
 
0.1%
4.0 5
 
0.5%
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%
72.6 1
0.1%
70.0 1
0.1%
68.55 1
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing983
Missing (%)100.0%
Memory size8.8 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing983
Missing (%)100.0%
Memory size8.8 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing983
Missing (%)100.0%
Memory size8.8 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01집단급식소식품판매업07_22_01_P34100003410000-122-2021-0000120210312<NA>1영업/정상1영업<NA><NA><NA><NA><NA>50.00700261대구광역시 중구 서성로1가 0089-0002 1층대구광역시 중구 서성로 59, 1층 (서성로1가)41921고소미소20220428144423U2022-04-30 02:40:00.0집단급식소 식품판매업343268.049095264683.080391집단급식소 식품판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
12집단급식소식품판매업07_22_01_P34100003410000-122-2017-0000120171220<NA>3폐업2폐업20171221<NA><NA><NA><NA><NA>700801대구광역시 중구 교동 0067-0012 교동시장 2층60호대구광역시 중구 교동길 40, 교동시장 2층60호 (교동)41912진솔20171222090335I2018-08-31 23:59:59.0집단급식소 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_P34100003410000-122-2008-0000120080828<NA>1영업/정상1영업<NA><NA><NA><NA>053 254 6221100.00700845대구광역시 중구 동인동3가 0289-0001 지상 1층대구광역시 중구 국채보상로149길 73, 지상 1층 (동인동3가)41906자연식품20180912140636U2018-09-12 23:59:59.0집단급식소 식품판매업345417.918644264722.013703집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0020임대<NA><NA>N0.0<NA><NA><NA>
34집단급식소식품판매업07_22_01_P34100003410000-122-2012-0000120121217<NA>1영업/정상1영업<NA><NA><NA><NA>053 768 4620<NA>700845대구광역시 중구 동인동3가 0330-0004 지상1층대구광역시 중구 국채보상로149길 100 (동인동3가, 지상1층)41906메디푸드20190923175741U2019-09-25 02:40:00.0집단급식소 식품판매업345387.027581264835.304652집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0001<NA><NA><NA>N0.0<NA><NA><NA>
45집단급식소식품판매업07_22_01_P34100003410000-122-2014-0000120140717<NA>1영업/정상1영업<NA><NA><NA><NA><NA>33.64700111대구광역시 중구 태평로1가 0023-0001 태평아파트 1동 21호대구광역시 중구 태평로 205 (태평로1가, 태평아파트 1동 21호)41903(주)우리농산20140717135336I2018-08-31 23:59:59.0집단급식소 식품판매업344466.007838264977.009084집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
56집단급식소식품판매업07_22_01_P34100003410000-122-2015-0000120150512<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>700849대구광역시 중구 동인동4가 0470-0002 동부상가아파트 가/31 129호대구광역시 중구 국채보상로 749 (동인동4가, 동부상가아파트 가/31 129호)419076.1상회20150512111714I2018-08-31 23:59:59.0집단급식소 식품판매업345573.146866264368.569488집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
67집단급식소식품판매업07_22_01_P34100003410000-122-2015-0000320150903<NA>1영업/정상1영업<NA><NA><NA><NA>053 768462024.00700845대구광역시 중구 동인동3가 0330-0004 지상1층대구광역시 중구 국채보상로149길 100 (동인동3가, 지상1층)41906닥터푸드20180912095331U2018-09-12 23:59:59.0집단급식소 식품판매업345387.027581264835.304652집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0001<NA><NA><NA>N0.0<NA><NA><NA>
78집단급식소식품판매업07_22_01_P34100003410000-122-2018-0000120180409<NA>1영업/정상1영업<NA><NA><NA><NA><NA>62.27700847대구광역시 중구 동인동4가 0540-0001 지하 1층대구광역시 중구 동덕로30길 139-16, 지하 1층 (동인동4가)41947헬스엔케어대구티엠에스(Health&care TMS)20180417171258I2018-08-31 23:59:59.0집단급식소 식품판매업345515.201935264079.746239집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
89집단급식소식품판매업07_22_01_P34100003410000-122-2008-0000220080829<NA>3폐업2폐업20080908<NA><NA><NA>0532556088<NA>700824대구광역시 중구 북성로1가 0021-0005<NA><NA>창성상회20080829134643I2018-08-31 23:59:59.0집단급식소 식품판매업<NA><NA>집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
910집단급식소식품판매업07_22_01_P34100003410000-122-2008-0000320080916<NA>3폐업2폐업20181011<NA><NA><NA>053 254777233.00700808대구광역시 중구 남산동 2999-0006대구광역시 중구 명덕로 41 (남산동)41973농협은행주식회사내당동지점20181011165301U2018-10-11 23:59:59.0집단급식소 식품판매업342261.258361263314.382294집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0010<NA><NA><NA>N0.0<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
973974집단급식소식품판매업07_22_01_P34800003480000-122-2014-0000120140113<NA>3폐업2폐업20161202<NA><NA><NA>070 41229995261.00711821대구광역시 달성군 하빈면 동곡리 627대구광역시 달성군 하빈면 하빈남로 171-1, 1층42904주식회사 광림유통20160624152518I2018-08-31 23:59:59.0집단급식소 식품판매업327735.044524263479.562399집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N20.0<NA><NA><NA>
974975집단급식소식품판매업07_22_01_P34800003480000-122-2008-0000720080904<NA>3폐업2폐업20110527<NA><NA><NA>053 614 227332.25711873대구광역시 달성군 현풍읍 중리 108-2<NA><NA>자모상회20080924143201I2018-08-31 23:59:59.0집단급식소 식품판매업331099.542032245003.977657집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
975976집단급식소식품판매업07_22_01_P34800003480000-122-2008-0000820080908<NA>3폐업2폐업20080917<NA><NA><NA>053 5886868<NA>711813대구광역시 달성군 다사읍 서재리 139-1 외 1필지<NA><NA>매일식품20080908133644I2018-08-31 23:59:59.0집단급식소 식품판매업335186.778586265044.867747집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
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