Overview

Dataset statistics

Number of variables47
Number of observations990
Missing cells10368
Missing cells (%)22.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory392.6 KiB
Average record size in memory406.1 B

Variable types

Numeric11
Categorical19
Text6
Unsupported9
DateTime1
Boolean1

Dataset

Description22년11월_6270000_대구광역시_07_22_01_P_집단급식소식품판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097155&dataSetDetailId=DDI_0000097196&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 (55.3%)Imbalance
공장사무직직원수 is highly imbalanced (58.7%)Imbalance
공장생산직직원수 is highly imbalanced (60.8%)Imbalance
인허가취소일자 has 990 (100.0%) missing valuesMissing
폐업일자 has 439 (44.3%) missing valuesMissing
휴업시작일자 has 990 (100.0%) missing valuesMissing
휴업종료일자 has 990 (100.0%) missing valuesMissing
재개업일자 has 990 (100.0%) missing valuesMissing
소재지전화 has 397 (40.1%) missing valuesMissing
소재지면적 has 48 (4.8%) missing valuesMissing
도로명전체주소 has 91 (9.2%) missing valuesMissing
도로명우편번호 has 95 (9.6%) missing valuesMissing
영업장주변구분명 has 990 (100.0%) missing valuesMissing
등급구분명 has 990 (100.0%) missing valuesMissing
공장판매직직원수 has 361 (36.5%) missing valuesMissing
전통업소지정번호 has 990 (100.0%) missing valuesMissing
전통업소주된음식 has 990 (100.0%) missing valuesMissing
홈페이지 has 990 (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 605 (61.1%) zerosZeros
시설총규모 has 889 (89.8%) zerosZeros

Reproduction

Analysis started2023-12-10 20:54:35.625319
Analysis finished2023-12-10 20:54:37.058493
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct990
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean495.5
Minimum1
Maximum990
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T05:54:37.194463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.45
Q1248.25
median495.5
Q3742.75
95-th percentile940.55
Maximum990
Range989
Interquartile range (IQR)494.5

Descriptive statistics

Standard deviation285.93268
Coefficient of variation (CV)0.5770589
Kurtosis-1.2
Mean495.5
Median Absolute Deviation (MAD)247.5
Skewness0
Sum490545
Variance81757.5
MonotonicityStrictly increasing
2023-12-11T05:54:37.439585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
652 1
 
0.1%
654 1
 
0.1%
655 1
 
0.1%
656 1
 
0.1%
657 1
 
0.1%
658 1
 
0.1%
659 1
 
0.1%
660 1
 
0.1%
661 1
 
0.1%
Other values (980) 980
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 (%)
990 1
0.1%
989 1
0.1%
988 1
0.1%
987 1
0.1%
986 1
0.1%
985 1
0.1%
984 1
0.1%
983 1
0.1%
982 1
0.1%
981 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
집단급식소식품판매업
990 

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 990
100.0%

Length

2023-12-11T05:54:37.708877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:37.903668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소식품판매업 990
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
07_22_01_P
990 

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 990
100.0%

Length

2023-12-11T05:54:38.099352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:38.275921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_01_p 990
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3448646.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T05:54:38.449441image/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 deviation16238.436
Coefficient of variation (CV)0.0047086405
Kurtosis-0.030980864
Mean3448646.5
Median Absolute Deviation (MAD)0
Skewness-0.22350892
Sum3.41416 × 109
Variance2.6368682 × 108
MonotonicityIncreasing
2023-12-11T05:54:38.761659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 521
52.6%
3420000 114
 
11.5%
3470000 97
 
9.8%
3430000 67
 
6.8%
3480000 66
 
6.7%
3460000 60
 
6.1%
3440000 50
 
5.1%
3410000 15
 
1.5%
ValueCountFrequency (%)
3410000 15
 
1.5%
3420000 114
 
11.5%
3430000 67
 
6.8%
3440000 50
 
5.1%
3450000 521
52.6%
3460000 60
 
6.1%
3470000 97
 
9.8%
3480000 66
 
6.7%
ValueCountFrequency (%)
3480000 66
 
6.7%
3470000 97
 
9.8%
3460000 60
 
6.1%
3450000 521
52.6%
3440000 50
 
5.1%
3430000 67
 
6.8%
3420000 114
 
11.5%
3410000 15
 
1.5%

관리번호
Text

UNIQUE 

Distinct990
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-11T05:54:39.146617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters21780
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

Unique990 ?
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%
3450000-122-2013-00013 1
 
0.1%
3450000-122-2015-00014 1
 
0.1%
3450000-122-2011-00029 1
 
0.1%
3450000-122-2013-00017 1
 
0.1%
3450000-122-2012-00001 1
 
0.1%
3450000-122-2017-00014 1
 
0.1%
3450000-122-2016-00003 1
 
0.1%
3450000-122-2016-00004 1
 
0.1%
3450000-122-2013-00014 1
 
0.1%
Other values (980) 980
99.0%
2023-12-11T05:54:39.655279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8861
40.7%
2 3624
16.6%
- 2970
 
13.6%
1 2069
 
9.5%
3 1288
 
5.9%
4 1224
 
5.6%
5 715
 
3.3%
8 384
 
1.8%
7 239
 
1.1%
6 226
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18810
86.4%
Dash Punctuation 2970
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8861
47.1%
2 3624
19.3%
1 2069
 
11.0%
3 1288
 
6.8%
4 1224
 
6.5%
5 715
 
3.8%
8 384
 
2.0%
7 239
 
1.3%
6 226
 
1.2%
9 180
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 2970
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21780
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8861
40.7%
2 3624
16.6%
- 2970
 
13.6%
1 2069
 
9.5%
3 1288
 
5.9%
4 1224
 
5.6%
5 715
 
3.3%
8 384
 
1.8%
7 239
 
1.1%
6 226
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8861
40.7%
2 3624
16.6%
- 2970
 
13.6%
1 2069
 
9.5%
3 1288
 
5.9%
4 1224
 
5.6%
5 715
 
3.3%
8 384
 
1.8%
7 239
 
1.1%
6 226
 
1.0%

인허가일자
Real number (ℝ)

Distinct737
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20142477
Minimum20080314
Maximum20221130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T05:54:39.905596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080314
5-th percentile20080703
Q120100544
median20141117
Q320180824
95-th percentile20220112
Maximum20221130
Range140816
Interquartile range (IQR)80279.75

Descriptive statistics

Standard deviation45711.023
Coefficient of variation (CV)0.0022693844
Kurtosis-1.2623714
Mean20142477
Median Absolute Deviation (MAD)40104.5
Skewness0.094791575
Sum1.9941052 × 1010
Variance2.0894976 × 109
MonotonicityNot monotonic
2023-12-11T05:54:40.238142image/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%
20110530 5
 
0.5%
20080912 5
 
0.5%
20100707 5
 
0.5%
20080827 4
 
0.4%
20080901 4
 
0.4%
20080902 4
 
0.4%
Other values (727) 921
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 (%)
20221130 4
0.4%
20221124 1
 
0.1%
20221108 1
 
0.1%
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%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing990
Missing (%)100.0%
Memory size8.8 KiB
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
3
551 
1
439 

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 (%)
3 551
55.7%
1 439
44.3%

Length

2023-12-11T05:54:40.501302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:40.705573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 551
55.7%
1 439
44.3%

영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
폐업
551 
영업/정상
439 

Length

Max length5
Median length2
Mean length3.330303
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 551
55.7%
영업/정상 439
44.3%

Length

2023-12-11T05:54:40.897610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:41.085929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 551
55.7%
영업/정상 439
44.3%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2
551 
1
439 

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 (%)
2 551
55.7%
1 439
44.3%

Length

2023-12-11T05:54:41.321903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:41.566890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 551
55.7%
1 439
44.3%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
폐업
551 
영업
439 

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 551
55.7%
영업 439
44.3%

Length

2023-12-11T05:54:41.790567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:41.996021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 551
55.7%
영업 439
44.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct477
Distinct (%)86.6%
Missing439
Missing (%)44.3%
Infinite0
Infinite (%)0.0%
Mean20160492
Minimum20080414
Maximum20221128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T05:54:42.225721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080414
5-th percentile20100424
Q120130508
median20161110
Q320190604
95-th percentile20220220
Maximum20221128
Range140714
Interquartile range (IQR)60096

Descriptive statistics

Standard deviation36983.268
Coefficient of variation (CV)0.0018344427
Kurtosis-0.95084958
Mean20160492
Median Absolute Deviation (MAD)29998
Skewness-0.18311178
Sum1.1108431 × 1010
Variance1.3677621 × 109
MonotonicityNot monotonic
2023-12-11T05:54:42.488957image/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%
20211214 3
 
0.3%
20100728 3
 
0.3%
20160623 3
 
0.3%
20190604 3
 
0.3%
20171229 3
 
0.3%
Other values (467) 516
52.1%
(Missing) 439
44.3%
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 (%)
20221128 1
0.1%
20221124 1
0.1%
20221123 2
0.2%
20221122 1
0.1%
20221117 1
0.1%
20221108 2
0.2%
20221104 1
0.1%
20221012 1
0.1%
20221005 1
0.1%
20220920 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing990
Missing (%)100.0%
Memory size8.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing990
Missing (%)100.0%
Memory size8.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing990
Missing (%)100.0%
Memory size8.8 KiB

소재지전화
Text

MISSING 

Distinct540
Distinct (%)91.1%
Missing397
Missing (%)40.1%
Memory size7.9 KiB
2023-12-11T05:54:43.047848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.775717
Min length8

Characters and Unicode

Total characters6983
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

Unique496 ?
Unique (%)83.6%

Sample

1st row053 254 6221
2nd row053 768 4620
3rd row053 7684620
4th row0532556088
5th row053 2547772
ValueCountFrequency (%)
053 528
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%
323 9
 
0.6%
981 9
 
0.6%
326 8
 
0.5%
Other values (682) 964
59.7%
2023-12-11T05:54:43.845896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1069
15.3%
5 1060
15.2%
1025
14.7%
0 993
14.2%
1 514
7.4%
2 491
7.0%
6 437
6.3%
7 380
 
5.4%
8 367
 
5.3%
4 324
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5958
85.3%
Space Separator 1025
 
14.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1069
17.9%
5 1060
17.8%
0 993
16.7%
1 514
8.6%
2 491
8.2%
6 437
7.3%
7 380
 
6.4%
8 367
 
6.2%
4 324
 
5.4%
9 323
 
5.4%
Space Separator
ValueCountFrequency (%)
1025
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6983
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1069
15.3%
5 1060
15.2%
1025
14.7%
0 993
14.2%
1 514
7.4%
2 491
7.0%
6 437
6.3%
7 380
 
5.4%
8 367
 
5.3%
4 324
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6983
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1069
15.3%
5 1060
15.2%
1025
14.7%
0 993
14.2%
1 514
7.4%
2 491
7.0%
6 437
6.3%
7 380
 
5.4%
8 367
 
5.3%
4 324
 
4.6%

소재지면적
Text

MISSING 

Distinct636
Distinct (%)67.5%
Missing48
Missing (%)4.8%
Memory size7.9 KiB
2023-12-11T05:54:44.590859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.2388535
Min length3

Characters and Unicode

Total characters4935
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

Unique524 ?
Unique (%)55.6%

Sample

1st row50.00
2nd row100.00
3rd row33.64
4th row24.00
5th row62.27
ValueCountFrequency (%)
00 24
 
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
 
0.8%
Other values (626) 801
85.0%
2023-12-11T05:54:45.674486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1253
25.4%
. 942
19.1%
1 428
 
8.7%
2 373
 
7.6%
6 338
 
6.8%
5 320
 
6.5%
3 314
 
6.4%
4 286
 
5.8%
9 253
 
5.1%
8 248
 
5.0%
Other values (2) 180
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3992
80.9%
Other Punctuation 943
 
19.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1253
31.4%
1 428
 
10.7%
2 373
 
9.3%
6 338
 
8.5%
5 320
 
8.0%
3 314
 
7.9%
4 286
 
7.2%
9 253
 
6.3%
8 248
 
6.2%
7 179
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 942
99.9%
, 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 4935
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1253
25.4%
. 942
19.1%
1 428
 
8.7%
2 373
 
7.6%
6 338
 
6.8%
5 320
 
6.5%
3 314
 
6.4%
4 286
 
5.8%
9 253
 
5.1%
8 248
 
5.0%
Other values (2) 180
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4935
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1253
25.4%
. 942
19.1%
1 428
 
8.7%
2 373
 
7.6%
6 338
 
6.8%
5 320
 
6.5%
3 314
 
6.4%
4 286
 
5.8%
9 253
 
5.1%
8 248
 
5.0%
Other values (2) 180
 
3.6%

소재지우편번호
Real number (ℝ)

Distinct285
Distinct (%)29.0%
Missing8
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean703784.24
Minimum700082
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T05:54:45.929376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700082
5-th percentile701814.1
Q1702320
median702863
Q3704807
95-th percentile711814
Maximum711892
Range11810
Interquartile range (IQR)2487

Descriptive statistics

Standard deviation2454.5514
Coefficient of variation (CV)0.0034876475
Kurtosis4.2823257
Mean703784.24
Median Absolute Deviation (MAD)563
Skewness2.1079877
Sum6.9111613 × 108
Variance6024822.4
MonotonicityNot monotonic
2023-12-11T05:54:46.195656image/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
 
3.5%
702845 22
 
2.2%
702867 20
 
2.0%
702877 18
 
1.8%
702090 18
 
1.8%
702847 18
 
1.8%
702865 17
 
1.7%
702802 15
 
1.5%
Other values (275) 673
68.0%
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%
Distinct758
Distinct (%)76.6%
Missing1
Missing (%)0.1%
Memory size7.9 KiB
2023-12-11T05:54:46.799048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length21.017189
Min length16

Characters and Unicode

Total characters20786
Distinct characters213
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

Unique632 ?
Unique (%)63.9%

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 989
22.9%
북구 521
 
12.1%
동구 112
 
2.6%
달서구 97
 
2.2%
금호동 79
 
1.8%
매천동 77
 
1.8%
서구 67
 
1.6%
태전동 66
 
1.5%
달성군 66
 
1.5%
수성구 61
 
1.4%
Other values (961) 2182
50.5%
2023-12-11T05:54:47.612023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4304
20.7%
1939
 
9.3%
1099
 
5.3%
1034
 
5.0%
1002
 
4.8%
990
 
4.8%
990
 
4.8%
1 920
 
4.4%
- 730
 
3.5%
2 547
 
2.6%
Other values (203) 7231
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11034
53.1%
Decimal Number 4551
21.9%
Space Separator 4304
 
20.7%
Dash Punctuation 730
 
3.5%
Close Punctuation 58
 
0.3%
Open 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 (%)
1939
17.6%
1099
 
10.0%
1034
 
9.4%
1002
 
9.1%
990
 
9.0%
990
 
9.0%
525
 
4.8%
223
 
2.0%
188
 
1.7%
164
 
1.5%
Other values (178) 2880
26.1%
Decimal Number
ValueCountFrequency (%)
1 920
20.2%
2 547
12.0%
0 537
11.8%
3 458
10.1%
4 421
9.3%
8 367
 
8.1%
7 360
 
7.9%
5 356
 
7.8%
6 315
 
6.9%
9 270
 
5.9%
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 (%)
4304
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 730
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11034
53.1%
Common 9729
46.8%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1939
17.6%
1099
 
10.0%
1034
 
9.4%
1002
 
9.1%
990
 
9.0%
990
 
9.0%
525
 
4.8%
223
 
2.0%
188
 
1.7%
164
 
1.5%
Other values (178) 2880
26.1%
Common
ValueCountFrequency (%)
4304
44.2%
1 920
 
9.5%
- 730
 
7.5%
2 547
 
5.6%
0 537
 
5.5%
3 458
 
4.7%
4 421
 
4.3%
8 367
 
3.8%
7 360
 
3.7%
5 356
 
3.7%
Other values (10) 729
 
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 11034
53.1%
ASCII 9752
46.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4304
44.1%
1 920
 
9.4%
- 730
 
7.5%
2 547
 
5.6%
0 537
 
5.5%
3 458
 
4.7%
4 421
 
4.3%
8 367
 
3.8%
7 360
 
3.7%
5 356
 
3.7%
Other values (15) 752
 
7.7%
Hangul
ValueCountFrequency (%)
1939
17.6%
1099
 
10.0%
1034
 
9.4%
1002
 
9.1%
990
 
9.0%
990
 
9.0%
525
 
4.8%
223
 
2.0%
188
 
1.7%
164
 
1.5%
Other values (178) 2880
26.1%

도로명전체주소
Text

MISSING 

Distinct770
Distinct (%)85.7%
Missing91
Missing (%)9.2%
Memory size7.9 KiB
2023-12-11T05:54:48.097353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length28.50723
Min length20

Characters and Unicode

Total characters25628
Distinct characters250
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

Unique683 ?
Unique (%)76.0%

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 899
 
17.1%
북구 492
 
9.4%
1층 377
 
7.2%
동구 96
 
1.8%
달서구 88
 
1.7%
금호동 75
 
1.4%
태전동 59
 
1.1%
매천동 59
 
1.1%
서구 58
 
1.1%
달성군 56
 
1.1%
Other values (1076) 2984
56.9%
2023-12-11T05:54:48.791500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4344
 
17.0%
1821
 
7.1%
1 1369
 
5.3%
1120
 
4.4%
1062
 
4.1%
922
 
3.6%
905
 
3.5%
900
 
3.5%
) 876
 
3.4%
( 876
 
3.4%
Other values (240) 11433
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14284
55.7%
Space Separator 4344
 
17.0%
Decimal Number 4223
 
16.5%
Close Punctuation 876
 
3.4%
Open Punctuation 876
 
3.4%
Other Punctuation 684
 
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 (%)
1821
 
12.7%
1120
 
7.8%
1062
 
7.4%
922
 
6.5%
905
 
6.3%
900
 
6.3%
781
 
5.5%
667
 
4.7%
537
 
3.8%
515
 
3.6%
Other values (217) 5054
35.4%
Decimal Number
ValueCountFrequency (%)
1 1369
32.4%
2 589
13.9%
3 476
 
11.3%
5 305
 
7.2%
4 284
 
6.7%
0 261
 
6.2%
6 249
 
5.9%
8 246
 
5.8%
7 238
 
5.6%
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 (%)
, 681
99.6%
. 2
 
0.3%
/ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
+ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
4344
100.0%
Close Punctuation
ValueCountFrequency (%)
) 876
100.0%
Open Punctuation
ValueCountFrequency (%)
( 876
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 299
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14284
55.7%
Common 11306
44.1%
Latin 38
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1821
 
12.7%
1120
 
7.8%
1062
 
7.4%
922
 
6.5%
905
 
6.3%
900
 
6.3%
781
 
5.5%
667
 
4.7%
537
 
3.8%
515
 
3.6%
Other values (217) 5054
35.4%
Common
ValueCountFrequency (%)
4344
38.4%
1 1369
 
12.1%
) 876
 
7.7%
( 876
 
7.7%
, 681
 
6.0%
2 589
 
5.2%
3 476
 
4.2%
5 305
 
2.7%
- 299
 
2.6%
4 284
 
2.5%
Other values (9) 1207
 
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 14284
55.7%
ASCII 11344
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4344
38.3%
1 1369
 
12.1%
) 876
 
7.7%
( 876
 
7.7%
, 681
 
6.0%
2 589
 
5.2%
3 476
 
4.2%
5 305
 
2.7%
- 299
 
2.6%
4 284
 
2.5%
Other values (13) 1245
 
11.0%
Hangul
ValueCountFrequency (%)
1821
 
12.7%
1120
 
7.8%
1062
 
7.4%
922
 
6.5%
905
 
6.3%
900
 
6.3%
781
 
5.5%
667
 
4.7%
537
 
3.8%
515
 
3.6%
Other values (217) 5054
35.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct350
Distinct (%)39.1%
Missing95
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean41776.678
Minimum41002
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T05:54:49.034741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41129
Q141459
median41498
Q342158
95-th percentile42918.2
Maximum43024
Range2022
Interquartile range (IQR)699

Descriptive statistics

Standard deviation543.6157
Coefficient of variation (CV)0.01301242
Kurtosis-0.33059129
Mean41776.678
Median Absolute Deviation (MAD)100
Skewness0.99396292
Sum37390127
Variance295518.03
MonotonicityNot monotonic
2023-12-11T05:54:49.290353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41598 57
 
5.8%
41485 48
 
4.8%
41490 45
 
4.5%
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 (340) 635
64.1%
(Missing) 95
 
9.6%
ValueCountFrequency (%)
41002 3
0.3%
41007 1
 
0.1%
41009 1
 
0.1%
41020 1
 
0.1%
41034 1
 
0.1%
41037 1
 
0.1%
41041 2
0.2%
41051 1
 
0.1%
41055 2
0.2%
41056 2
0.2%
ValueCountFrequency (%)
43024 1
 
0.1%
43018 1
 
0.1%
43011 1
 
0.1%
43005 1
 
0.1%
43003 5
0.5%
43000 1
 
0.1%
42998 1
 
0.1%
42993 1
 
0.1%
42985 1
 
0.1%
42982 1
 
0.1%
Distinct891
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-11T05:54:49.655381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length6.1393939
Min length1

Characters and Unicode

Total characters6078
Distinct characters408
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

Unique814 ?
Unique (%)82.2%

Sample

1st row고소미소
2nd row진솔
3rd row자연식품
4th row메디푸드
5th row(주)우리농산
ValueCountFrequency (%)
주식회사 45
 
4.2%
농업회사법인 7
 
0.6%
월배농협 5
 
0.5%
대성식품 4
 
0.4%
4
 
0.4%
성림상사 4
 
0.4%
유통 4
 
0.4%
수성키즈 3
 
0.3%
그린유통 3
 
0.3%
우성수산 3
 
0.3%
Other values (906) 998
92.4%
2023-12-11T05:54:50.685953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
300
 
4.9%
293
 
4.8%
258
 
4.2%
204
 
3.4%
) 195
 
3.2%
( 189
 
3.1%
153
 
2.5%
139
 
2.3%
135
 
2.2%
135
 
2.2%
Other values (398) 4077
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5500
90.5%
Close Punctuation 195
 
3.2%
Open Punctuation 189
 
3.1%
Space Separator 90
 
1.5%
Uppercase Letter 54
 
0.9%
Lowercase Letter 22
 
0.4%
Decimal Number 16
 
0.3%
Other Punctuation 10
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
300
 
5.5%
293
 
5.3%
258
 
4.7%
204
 
3.7%
153
 
2.8%
139
 
2.5%
135
 
2.5%
135
 
2.5%
129
 
2.3%
122
 
2.2%
Other values (355) 3632
66.0%
Uppercase Letter
ValueCountFrequency (%)
S 9
16.7%
F 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%
O 2
 
3.7%
Other values (8) 10
18.5%
Lowercase Letter
ValueCountFrequency (%)
o 4
18.2%
f 4
18.2%
e 3
13.6%
a 2
9.1%
c 2
9.1%
d 2
9.1%
s 1
 
4.5%
r 1
 
4.5%
h 1
 
4.5%
t 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
5 6
37.5%
6 2
 
12.5%
0 2
 
12.5%
2 2
 
12.5%
8 1
 
6.2%
1 1
 
6.2%
3 1
 
6.2%
4 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
& 6
60.0%
. 4
40.0%
Close Punctuation
ValueCountFrequency (%)
) 195
100.0%
Open Punctuation
ValueCountFrequency (%)
( 189
100.0%
Space Separator
ValueCountFrequency (%)
90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5500
90.5%
Common 502
 
8.3%
Latin 76
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
300
 
5.5%
293
 
5.3%
258
 
4.7%
204
 
3.7%
153
 
2.8%
139
 
2.5%
135
 
2.5%
135
 
2.5%
129
 
2.3%
122
 
2.2%
Other values (355) 3632
66.0%
Latin
ValueCountFrequency (%)
S 9
 
11.8%
F 9
 
11.8%
H 5
 
6.6%
o 4
 
5.3%
f 4
 
5.3%
G 4
 
5.3%
D 4
 
5.3%
J 3
 
3.9%
T 3
 
3.9%
e 3
 
3.9%
Other values (19) 28
36.8%
Common
ValueCountFrequency (%)
) 195
38.8%
( 189
37.6%
90
17.9%
& 6
 
1.2%
5 6
 
1.2%
. 4
 
0.8%
6 2
 
0.4%
0 2
 
0.4%
- 2
 
0.4%
2 2
 
0.4%
Other values (4) 4
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5500
90.5%
ASCII 578
 
9.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
300
 
5.5%
293
 
5.3%
258
 
4.7%
204
 
3.7%
153
 
2.8%
139
 
2.5%
135
 
2.5%
135
 
2.5%
129
 
2.3%
122
 
2.2%
Other values (355) 3632
66.0%
ASCII
ValueCountFrequency (%)
) 195
33.7%
( 189
32.7%
90
15.6%
S 9
 
1.6%
F 9
 
1.6%
& 6
 
1.0%
5 6
 
1.0%
H 5
 
0.9%
o 4
 
0.7%
f 4
 
0.7%
Other values (33) 61
 
10.6%

최종수정시점
Real number (ℝ)

Distinct988
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0168468 × 1013
Minimum2.0080402 × 1013
Maximum2.022113 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T05:54:50.940453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0080402 × 1013
5-th percentile2.0080964 × 1013
Q12.0131206 × 1013
median2.0180412 × 1013
Q32.0201222 × 1013
95-th percentile2.0220714 × 1013
Maximum2.022113 × 1013
Range1.4072796 × 1011
Interquartile range (IQR)7.0015464 × 1010

Descriptive statistics

Standard deviation4.3107947 × 1010
Coefficient of variation (CV)0.0021373933
Kurtosis-0.83296903
Mean2.0168468 × 1013
Median Absolute Deviation (MAD)3.0208494 × 1010
Skewness-0.60604574
Sum1.9966783 × 1016
Variance1.8582951 × 1021
MonotonicityNot monotonic
2023-12-11T05:54:51.220938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140123160035 3
 
0.3%
20151218094001 1
 
0.1%
20110825103622 1
 
0.1%
20170510135129 1
 
0.1%
20120118144251 1
 
0.1%
20220817110340 1
 
0.1%
20180226144743 1
 
0.1%
20211208154422 1
 
0.1%
20160510103355 1
 
0.1%
20130705130907 1
 
0.1%
Other values (978) 978
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 (%)
20221130140138 1
0.1%
20221130140122 1
0.1%
20221130114638 1
0.1%
20221130114423 1
0.1%
20221128163950 1
0.1%
20221128090458 1
0.1%
20221124160253 1
0.1%
20221124095830 1
0.1%
20221123110156 1
0.1%
20221123091354 1
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
I
600 
U
390 

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 600
60.6%
U 390
39.4%

Length

2023-12-11T05:54:51.464176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:51.635669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 600
60.6%
u 390
39.4%
Distinct364
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-02 00:40:06
2023-12-11T05:54:51.798348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:54:52.036438image/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 size7.9 KiB
집단급식소 식품판매업
990 

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 990
100.0%

Length

2023-12-11T05:54:52.231393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:52.369014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 990
50.0%
식품판매업 990
50.0%

좌표정보(X)
Real number (ℝ)

Distinct695
Distinct (%)70.8%
Missing9
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean341273.2
Minimum327471.74
Maximum358028.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T05:54:52.531360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327471.74
5-th percentile334743.58
Q1338820.81
median339997.74
Q3344114.2
95-th percentile352459.36
Maximum358028.91
Range30557.164
Interquartile range (IQR)5293.3852

Descriptive statistics

Standard deviation4997.4881
Coefficient of variation (CV)0.014643658
Kurtosis1.0592547
Mean341273.2
Median Absolute Deviation (MAD)2087.3748
Skewness0.70463589
Sum3.3478901 × 108
Variance24974887
MonotonicityNot monotonic
2023-12-11T05:54:52.759650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345327.736682658 16
 
1.6%
339388.690363782 14
 
1.4%
338985.366313904 10
 
1.0%
340226.615391161 10
 
1.0%
339243.983122111 10
 
1.0%
337154.796354516 9
 
0.9%
340582.375042356 9
 
0.9%
336942.357146811 7
 
0.7%
339954.758195265 5
 
0.5%
340219.667217027 5
 
0.5%
Other values (685) 886
89.5%
(Missing) 9
 
0.9%
ValueCountFrequency (%)
327471.744219179 2
0.2%
327605.063942283 1
 
0.1%
327735.044523737 3
0.3%
329270.202814037 1
 
0.1%
329958.846408332 1
 
0.1%
329978.893140366 1
 
0.1%
330037.525759831 1
 
0.1%
330099.30311437 1
 
0.1%
330260.716912255 1
 
0.1%
330324.023854326 1
 
0.1%
ValueCountFrequency (%)
358028.908240955 1
0.1%
356477.205726152 1
0.1%
356390.881046037 2
0.2%
356300.247422101 1
0.1%
356292.703687545 1
0.1%
356230.323996406 2
0.2%
355918.922116749 1
0.1%
355757.72294257 1
0.1%
355664.21092123 1
0.1%
354807.185179651 2
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct695
Distinct (%)70.8%
Missing9
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean265934.1
Minimum238824.51
Maximum275582
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T05:54:52.994922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238824.51
5-th percentile257857.05
Q1263330.01
median267037.85
Q3268763.26
95-th percentile273124.52
Maximum275582
Range36757.498
Interquartile range (IQR)5433.259

Descriptive statistics

Standard deviation4985.5482
Coefficient of variation (CV)0.018747307
Kurtosis4.0057287
Mean265934.1
Median Absolute Deviation (MAD)2524.2234
Skewness-1.3589352
Sum2.6088135 × 108
Variance24855691
MonotonicityNot monotonic
2023-12-11T05:54:53.266865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268763.26426025 16
 
1.6%
269664.126148502 14
 
1.4%
267354.446311924 10
 
1.0%
267982.433067092 10
 
1.0%
268026.454530584 10
 
1.0%
267164.644869533 9
 
0.9%
274811.331596085 9
 
0.9%
267202.145514996 7
 
0.7%
273523.341721362 5
 
0.5%
273735.131408993 5
 
0.5%
Other values (685) 886
89.5%
(Missing) 9
 
0.9%
ValueCountFrequency (%)
238824.505920574 1
0.1%
242505.658386261 1
0.1%
244660.404545869 1
0.1%
244666.64274742 1
0.1%
244743.873468195 1
0.1%
244744.379191204 1
0.1%
244757.142677467 1
0.1%
244837.601197559 1
0.1%
244839.424611328 1
0.1%
245000.680792058 1
0.1%
ValueCountFrequency (%)
275582.004217763 1
 
0.1%
274811.331596085 9
0.9%
274594.894588392 1
 
0.1%
274508.218106082 1
 
0.1%
273969.297395079 1
 
0.1%
273735.131408993 5
0.5%
273679.002021391 1
 
0.1%
273676.8169553 4
0.4%
273655.73567589 2
 
0.2%
273554.526036001 1
 
0.1%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
집단급식소 식품판매업
990 

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 990
100.0%

Length

2023-12-11T05:54:53.558097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:53.729830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 990
50.0%
식품판매업 990
50.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
824 
0
166 

Length

Max length4
Median length4
Mean length3.4969697
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> 824
83.2%
0 166
 
16.8%

Length

2023-12-11T05:54:53.914116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:54.138679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 824
83.2%
0 166
 
16.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
824 
0
166 

Length

Max length4
Median length4
Mean length3.4969697
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> 824
83.2%
0 166
 
16.8%

Length

2023-12-11T05:54:54.358058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:54.561041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 824
83.2%
0 166
 
16.8%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing990
Missing (%)100.0%
Memory size8.8 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing990
Missing (%)100.0%
Memory size8.8 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
781 
상수도전용
207 
간이상수도
 
1
지하수전용
 
1

Length

Max length5
Median length4
Mean length4.2111111
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> 781
78.9%
상수도전용 207
 
20.9%
간이상수도 1
 
0.1%
지하수전용 1
 
0.1%

Length

2023-12-11T05:54:54.743060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:54.924631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 781
78.9%
상수도전용 207
 
20.9%
간이상수도 1
 
0.1%
지하수전용 1
 
0.1%

총직원수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
824 
0
166 

Length

Max length4
Median length4
Mean length3.4969697
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> 824
83.2%
0 166
 
16.8%

Length

2023-12-11T05:54:55.120562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:55.303168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 824
83.2%
0 166
 
16.8%

본사직원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
619 
<NA>
360 
2
 
8
1
 
2
4
 
1

Length

Max length4
Median length1
Mean length2.0909091
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 619
62.5%
<NA> 360
36.4%
2 8
 
0.8%
1 2
 
0.2%
4 1
 
0.1%

Length

2023-12-11T05:54:55.496791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:55.698188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 619
62.5%
na 360
36.4%
2 8
 
0.8%
1 2
 
0.2%
4 1
 
0.1%

공장사무직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
614 
<NA>
362 
1
 
7
3
 
5
5
 
1

Length

Max length4
Median length1
Mean length2.0969697
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 614
62.0%
<NA> 362
36.6%
1 7
 
0.7%
3 5
 
0.5%
5 1
 
0.1%
2 1
 
0.1%

Length

2023-12-11T05:54:55.914681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:56.115712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 614
62.0%
na 362
36.6%
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%
Missing361
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean0.11287758
Minimum0
Maximum15
Zeros605
Zeros (%)61.1%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T05:54:56.290907image/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 deviation0.81485579
Coefficient of variation (CV)7.2189337
Kurtosis190.38516
Mean0.11287758
Median Absolute Deviation (MAD)0
Skewness12.154875
Sum71
Variance0.66398995
MonotonicityNot monotonic
2023-12-11T05:54:56.527918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 605
61.1%
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) 361
36.5%
ValueCountFrequency (%)
0 605
61.1%
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%
0 605
61.1%

공장생산직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
622 
<NA>
361 
1
 
4
4
 
1
5
 
1

Length

Max length4
Median length1
Mean length2.0949495
Min length1

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 622
62.8%
<NA> 361
36.5%
1 4
 
0.4%
4 1
 
0.1%
5 1
 
0.1%
24 1
 
0.1%

Length

2023-12-11T05:54:56.753530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:56.949676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 622
62.8%
na 361
36.5%
1 4
 
0.4%
4 1
 
0.1%
5 1
 
0.1%
24 1
 
0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
799 
자가
121 
임대
 
70

Length

Max length4
Median length4
Mean length3.6141414
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> 799
80.7%
자가 121
 
12.2%
임대 70
 
7.1%

Length

2023-12-11T05:54:57.193965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:57.384118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 799
80.7%
자가 121
 
12.2%
임대 70
 
7.1%

보증액
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
824 
0
166 

Length

Max length4
Median length4
Mean length3.4969697
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> 824
83.2%
0 166
 
16.8%

Length

2023-12-11T05:54:57.592532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:57.767707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 824
83.2%
0 166
 
16.8%

월세액
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
824 
0
166 

Length

Max length4
Median length4
Mean length3.4969697
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> 824
83.2%
0 166
 
16.8%

Length

2023-12-11T05:54:57.982853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:54:58.184844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 824
83.2%
0 166
 
16.8%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
False
990 
ValueCountFrequency (%)
False 990
100.0%
2023-12-11T05:54:58.321971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2852525
Minimum0
Maximum250.35
Zeros889
Zeros (%)89.8%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-11T05:54:58.626367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17.494
Maximum250.35
Range250.35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.177968
Coefficient of variation (CV)5.2288121
Kurtosis102.06354
Mean3.2852525
Median Absolute Deviation (MAD)0
Skewness9.0574669
Sum3252.4
Variance295.08259
MonotonicityNot monotonic
2023-12-11T05:54:58.979170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 889
89.8%
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 (77) 77
 
7.8%
ValueCountFrequency (%)
0.0 889
89.8%
1.0 1
 
0.1%
2.2 1
 
0.1%
2.8 1
 
0.1%
2.88 1
 
0.1%
3.0 3
 
0.3%
3.28 1
 
0.1%
3.3 2
 
0.2%
3.62 1
 
0.1%
3.63 1
 
0.1%
ValueCountFrequency (%)
250.35 1
0.1%
233.0 1
0.1%
189.84 1
0.1%
157.86 1
0.1%
129.74 1
0.1%
112.06 1
0.1%
101.72 1
0.1%
80.0 1
0.1%
72.6 1
0.1%
70.0 1
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing990
Missing (%)100.0%
Memory size8.8 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing990
Missing (%)100.0%
Memory size8.8 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing990
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
980981집단급식소식품판매업07_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>
981982집단급식소식품판매업07_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>
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