Overview

Dataset statistics

Number of variables47
Number of observations974
Missing cells10216
Missing cells (%)22.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory386.3 KiB
Average record size in memory406.1 B

Variable types

Numeric11
Categorical19
Text6
Unsupported9
DateTime1
Boolean1

Dataset

Description22년08월_6270000_대구광역시_07_22_01_P_집단급식소식품판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000094290&dataSetDetailId=DDI_0000094314&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 (62.0%)Imbalance
본사직원수 is highly imbalanced (54.9%)Imbalance
공장사무직직원수 is highly imbalanced (58.3%)Imbalance
공장생산직직원수 is highly imbalanced (60.7%)Imbalance
인허가취소일자 has 974 (100.0%) missing valuesMissing
폐업일자 has 435 (44.7%) missing valuesMissing
휴업시작일자 has 974 (100.0%) missing valuesMissing
휴업종료일자 has 974 (100.0%) missing valuesMissing
재개업일자 has 974 (100.0%) missing valuesMissing
소재지전화 has 384 (39.4%) missing valuesMissing
소재지면적 has 48 (4.9%) missing valuesMissing
도로명전체주소 has 91 (9.3%) missing valuesMissing
도로명우편번호 has 95 (9.8%) missing valuesMissing
좌표정보(X) has 11 (1.1%) missing valuesMissing
좌표정보(Y) has 11 (1.1%) missing valuesMissing
영업장주변구분명 has 974 (100.0%) missing valuesMissing
등급구분명 has 974 (100.0%) missing valuesMissing
공장판매직직원수 has 366 (37.6%) missing valuesMissing
전통업소지정번호 has 974 (100.0%) missing valuesMissing
전통업소주된음식 has 974 (100.0%) missing valuesMissing
홈페이지 has 974 (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 584 (60.0%) zerosZeros
시설총규모 has 879 (90.2%) zerosZeros

Reproduction

Analysis started2023-12-10 20:02:28.444711
Analysis finished2023-12-10 20:02:29.584251
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct974
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean487.5
Minimum1
Maximum974
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T05:02:29.687455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile49.65
Q1244.25
median487.5
Q3730.75
95-th percentile925.35
Maximum974
Range973
Interquartile range (IQR)486.5

Descriptive statistics

Standard deviation281.31388
Coefficient of variation (CV)0.57705412
Kurtosis-1.2
Mean487.5
Median Absolute Deviation (MAD)243.5
Skewness0
Sum474825
Variance79137.5
MonotonicityStrictly increasing
2023-12-11T05:02:29.841596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
671 1
 
0.1%
643 1
 
0.1%
644 1
 
0.1%
645 1
 
0.1%
646 1
 
0.1%
647 1
 
0.1%
648 1
 
0.1%
649 1
 
0.1%
650 1
 
0.1%
Other values (964) 964
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 (%)
974 1
0.1%
973 1
0.1%
972 1
0.1%
971 1
0.1%
970 1
0.1%
969 1
0.1%
968 1
0.1%
967 1
0.1%
966 1
0.1%
965 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
집단급식소식품판매업
974 

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 974
100.0%

Length

2023-12-11T05:02:29.993890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:02:30.122502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소식품판매업 974
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
07_22_01_P
974 

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 974
100.0%

Length

2023-12-11T05:02:30.266164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:02:30.406563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_01_p 974
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3448716.6
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T05:02:30.523096image/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 deviation16191.804
Coefficient of variation (CV)0.0046950229
Kurtosis-0.0062525149
Mean3448716.6
Median Absolute Deviation (MAD)0
Skewness-0.22969455
Sum3.35905 × 109
Variance2.621745 × 108
MonotonicityIncreasing
2023-12-11T05:02:30.697080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 515
52.9%
3420000 110
 
11.3%
3470000 95
 
9.8%
3430000 66
 
6.8%
3480000 65
 
6.7%
3460000 60
 
6.2%
3440000 48
 
4.9%
3410000 15
 
1.5%
ValueCountFrequency (%)
3410000 15
 
1.5%
3420000 110
 
11.3%
3430000 66
 
6.8%
3440000 48
 
4.9%
3450000 515
52.9%
3460000 60
 
6.2%
3470000 95
 
9.8%
3480000 65
 
6.7%
ValueCountFrequency (%)
3480000 65
 
6.7%
3470000 95
 
9.8%
3460000 60
 
6.2%
3450000 515
52.9%
3440000 48
 
4.9%
3430000 66
 
6.8%
3420000 110
 
11.3%
3410000 15
 
1.5%

관리번호
Text

UNIQUE 

Distinct974
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2023-12-11T05:02:30.934276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters21428
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

Unique974 ?
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%
3450000-122-2012-00030 1
 
0.1%
3450000-122-2013-00017 1
 
0.1%
3450000-122-2015-00017 1
 
0.1%
3450000-122-2012-00001 1
 
0.1%
3450000-122-2017-00014 1
 
0.1%
3450000-122-2016-00003 1
 
0.1%
3450000-122-2016-00004 1
 
0.1%
3450000-122-2013-00014 1
 
0.1%
3450000-122-2013-00015 1
 
0.1%
Other values (964) 964
99.0%
2023-12-11T05:02:31.352935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8722
40.7%
2 3538
16.5%
- 2922
 
13.6%
1 2050
 
9.6%
3 1268
 
5.9%
4 1205
 
5.6%
5 707
 
3.3%
8 380
 
1.8%
7 235
 
1.1%
6 223
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18506
86.4%
Dash Punctuation 2922
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8722
47.1%
2 3538
19.1%
1 2050
 
11.1%
3 1268
 
6.9%
4 1205
 
6.5%
5 707
 
3.8%
8 380
 
2.1%
7 235
 
1.3%
6 223
 
1.2%
9 178
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 2922
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21428
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8722
40.7%
2 3538
16.5%
- 2922
 
13.6%
1 2050
 
9.6%
3 1268
 
5.9%
4 1205
 
5.6%
5 707
 
3.3%
8 380
 
1.8%
7 235
 
1.1%
6 223
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21428
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8722
40.7%
2 3538
16.5%
- 2922
 
13.6%
1 2050
 
9.6%
3 1268
 
5.9%
4 1205
 
5.6%
5 707
 
3.3%
8 380
 
1.8%
7 235
 
1.1%
6 223
 
1.0%

인허가일자
Real number (ℝ)

Distinct725
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20141248
Minimum20080314
Maximum20220829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T05:02:31.538039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080314
5-th percentile20080676
Q120100422
median20140816
Q320180416
95-th percentile20211154
Maximum20220829
Range140515
Interquartile range (IQR)79994.5

Descriptive statistics

Standard deviation45021.222
Coefficient of variation (CV)0.0022352746
Kurtosis-1.2593838
Mean20141248
Median Absolute Deviation (MAD)40089
Skewness0.10082239
Sum1.9617576 × 1010
Variance2.0269104 × 109
MonotonicityNot monotonic
2023-12-11T05:02:31.735612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080911 21
 
2.2%
20080909 8
 
0.8%
20080725 7
 
0.7%
20080828 6
 
0.6%
20100707 5
 
0.5%
20080912 5
 
0.5%
20110530 5
 
0.5%
20150120 4
 
0.4%
20080901 4
 
0.4%
20120314 4
 
0.4%
Other values (715) 905
92.9%
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 (%)
20220829 1
0.1%
20220825 1
0.1%
20220818 1
0.1%
20220817 1
0.1%
20220805 1
0.1%
20220728 1
0.1%
20220720 1
0.1%
20220608 1
0.1%
20220519 1
0.1%
20220509 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing974
Missing (%)100.0%
Memory size8.7 KiB
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
3
539 
1
435 

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 (%)
3 539
55.3%
1 435
44.7%

Length

2023-12-11T05:02:31.931382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:02:32.065748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 539
55.3%
1 435
44.7%

영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
폐업
539 
영업/정상
435 

Length

Max length5
Median length2
Mean length3.3398357
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 539
55.3%
영업/정상 435
44.7%

Length

2023-12-11T05:02:32.227296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:02:32.385238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 539
55.3%
영업/정상 435
44.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2
539 
1
435 

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 (%)
2 539
55.3%
1 435
44.7%

Length

2023-12-11T05:02:32.520550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:02:32.678180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 539
55.3%
1 435
44.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
폐업
539 
영업
435 

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 539
55.3%
영업 435
44.7%

Length

2023-12-11T05:02:32.832742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:02:32.960970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 539
55.3%
영업 435
44.7%

폐업일자
Real number (ℝ)

MISSING 

Distinct467
Distinct (%)86.6%
Missing435
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean20159143
Minimum20080414
Maximum20220831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T05:02:33.087409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080414
5-th percentile20100412
Q120130327
median20161102
Q320190318
95-th percentile20211215
Maximum20220831
Range140417
Interquartile range (IQR)59991.5

Descriptive statistics

Standard deviation36256.874
Coefficient of variation (CV)0.0017985325
Kurtosis-0.94317626
Mean20159143
Median Absolute Deviation (MAD)29973
Skewness-0.19109234
Sum1.0865778 × 1010
Variance1.3145609 × 109
MonotonicityNot monotonic
2023-12-11T05:02:33.272527image/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 (457) 504
51.7%
(Missing) 435
44.7%
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 (%)
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%
20220426 2
0.2%
20220411 1
0.1%
20220406 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing974
Missing (%)100.0%
Memory size8.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing974
Missing (%)100.0%
Memory size8.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing974
Missing (%)100.0%
Memory size8.7 KiB

소재지전화
Text

MISSING 

Distinct538
Distinct (%)91.2%
Missing384
Missing (%)39.4%
Memory size7.7 KiB
2023-12-11T05:02:33.685554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.777966
Min length8

Characters and Unicode

Total characters6949
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

Unique495 ?
Unique (%)83.9%

Sample

1st row053 254 6221
2nd row053 768 4620
3rd row053 7684620
4th row0532556088
5th row053 2547772
ValueCountFrequency (%)
053 526
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%
353 8
 
0.5%
Other values (679) 959
59.6%
2023-12-11T05:02:34.266445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1063
15.3%
5 1053
15.2%
1021
14.7%
0 989
14.2%
1 514
7.4%
2 489
7.0%
6 432
6.2%
7 378
 
5.4%
8 365
 
5.3%
4 323
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5928
85.3%
Space Separator 1021
 
14.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1063
17.9%
5 1053
17.8%
0 989
16.7%
1 514
8.7%
2 489
8.2%
6 432
7.3%
7 378
 
6.4%
8 365
 
6.2%
4 323
 
5.4%
9 322
 
5.4%
Space Separator
ValueCountFrequency (%)
1021
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6949
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1063
15.3%
5 1053
15.2%
1021
14.7%
0 989
14.2%
1 514
7.4%
2 489
7.0%
6 432
6.2%
7 378
 
5.4%
8 365
 
5.3%
4 323
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6949
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1063
15.3%
5 1053
15.2%
1021
14.7%
0 989
14.2%
1 514
7.4%
2 489
7.0%
6 432
6.2%
7 378
 
5.4%
8 365
 
5.3%
4 323
 
4.6%

소재지면적
Text

MISSING 

Distinct625
Distinct (%)67.5%
Missing48
Missing (%)4.9%
Memory size7.7 KiB
2023-12-11T05:02:34.706147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.2462203
Min length3

Characters and Unicode

Total characters4858
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

Unique515 ?
Unique (%)55.6%

Sample

1st row50.00
2nd row100.00
3rd row33.64
4th row24.00
5th row62.27
ValueCountFrequency (%)
00 22
 
2.4%
66.00 20
 
2.2%
33.00 18
 
1.9%
60.00 15
 
1.6%
30.00 15
 
1.6%
20.00 12
 
1.3%
100.00 10
 
1.1%
132.00 10
 
1.1%
10.00 10
 
1.1%
40.00 8
 
0.9%
Other values (615) 786
84.9%
2023-12-11T05:02:35.314962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1237
25.5%
. 926
19.1%
1 421
 
8.7%
2 370
 
7.6%
6 331
 
6.8%
5 314
 
6.5%
3 303
 
6.2%
4 287
 
5.9%
9 246
 
5.1%
8 245
 
5.0%
Other values (2) 178
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3931
80.9%
Other Punctuation 927
 
19.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1237
31.5%
1 421
 
10.7%
2 370
 
9.4%
6 331
 
8.4%
5 314
 
8.0%
3 303
 
7.7%
4 287
 
7.3%
9 246
 
6.3%
8 245
 
6.2%
7 177
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 926
99.9%
, 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 4858
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1237
25.5%
. 926
19.1%
1 421
 
8.7%
2 370
 
7.6%
6 331
 
6.8%
5 314
 
6.5%
3 303
 
6.2%
4 287
 
5.9%
9 246
 
5.1%
8 245
 
5.0%
Other values (2) 178
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4858
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1237
25.5%
. 926
19.1%
1 421
 
8.7%
2 370
 
7.6%
6 331
 
6.8%
5 314
 
6.5%
3 303
 
6.2%
4 287
 
5.9%
9 246
 
5.1%
8 245
 
5.0%
Other values (2) 178
 
3.7%

소재지우편번호
Real number (ℝ)

Distinct281
Distinct (%)29.1%
Missing8
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean703787.54
Minimum700082
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T05:02:35.518972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700082
5-th percentile701816.25
Q1702431.75
median702863
Q3704806.75
95-th percentile711814
Maximum711892
Range11810
Interquartile range (IQR)2375

Descriptive statistics

Standard deviation2452.1046
Coefficient of variation (CV)0.0034841546
Kurtosis4.297191
Mean703787.54
Median Absolute Deviation (MAD)563
Skewness2.112195
Sum6.7985876 × 108
Variance6012816.8
MonotonicityNot monotonic
2023-12-11T05:02:35.703914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
702300 75
 
7.7%
702825 67
 
6.9%
702903 35
 
3.6%
702845 22
 
2.3%
702867 20
 
2.1%
702847 19
 
2.0%
702877 18
 
1.8%
702865 17
 
1.7%
702090 17
 
1.7%
702802 15
 
1.5%
Other values (271) 661
67.9%
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%
Distinct749
Distinct (%)77.0%
Missing1
Missing (%)0.1%
Memory size7.7 KiB
2023-12-11T05:02:36.185087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length21.018499
Min length16

Characters and Unicode

Total characters20451
Distinct characters207
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

Unique625 ?
Unique (%)64.2%

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 973
22.9%
북구 515
 
12.1%
동구 108
 
2.5%
달서구 95
 
2.2%
매천동 77
 
1.8%
금호동 75
 
1.8%
서구 66
 
1.6%
태전동 66
 
1.6%
달성군 65
 
1.5%
수성구 61
 
1.4%
Other values (948) 2146
50.5%
2023-12-11T05:02:36.861097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4234
20.7%
1907
 
9.3%
1080
 
5.3%
1016
 
5.0%
986
 
4.8%
974
 
4.8%
974
 
4.8%
1 907
 
4.4%
- 719
 
3.5%
2 535
 
2.6%
Other values (197) 7119
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10848
53.0%
Decimal Number 4483
21.9%
Space Separator 4234
 
20.7%
Dash Punctuation 719
 
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 (%)
1907
17.6%
1080
 
10.0%
1016
 
9.4%
986
 
9.1%
974
 
9.0%
974
 
9.0%
519
 
4.8%
220
 
2.0%
185
 
1.7%
162
 
1.5%
Other values (172) 2825
26.0%
Decimal Number
ValueCountFrequency (%)
1 907
20.2%
2 535
11.9%
0 529
11.8%
3 451
10.1%
4 415
9.3%
8 361
 
8.1%
7 356
 
7.9%
5 352
 
7.9%
6 310
 
6.9%
9 267
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
A 9
39.1%
B 9
39.1%
C 3
 
13.0%
M 1
 
4.3%
D 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 23
88.5%
/ 1
 
3.8%
. 1
 
3.8%
: 1
 
3.8%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
4234
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 719
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10848
53.0%
Common 9580
46.8%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1907
17.6%
1080
 
10.0%
1016
 
9.4%
986
 
9.1%
974
 
9.0%
974
 
9.0%
519
 
4.8%
220
 
2.0%
185
 
1.7%
162
 
1.5%
Other values (172) 2825
26.0%
Common
ValueCountFrequency (%)
4234
44.2%
1 907
 
9.5%
- 719
 
7.5%
2 535
 
5.6%
0 529
 
5.5%
3 451
 
4.7%
4 415
 
4.3%
8 361
 
3.8%
7 356
 
3.7%
5 352
 
3.7%
Other values (10) 721
 
7.5%
Latin
ValueCountFrequency (%)
A 9
39.1%
B 9
39.1%
C 3
 
13.0%
M 1
 
4.3%
D 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10848
53.0%
ASCII 9603
47.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4234
44.1%
1 907
 
9.4%
- 719
 
7.5%
2 535
 
5.6%
0 529
 
5.5%
3 451
 
4.7%
4 415
 
4.3%
8 361
 
3.8%
7 356
 
3.7%
5 352
 
3.7%
Other values (15) 744
 
7.7%
Hangul
ValueCountFrequency (%)
1907
17.6%
1080
 
10.0%
1016
 
9.4%
986
 
9.1%
974
 
9.0%
974
 
9.0%
519
 
4.8%
220
 
2.0%
185
 
1.7%
162
 
1.5%
Other values (172) 2825
26.0%

도로명전체주소
Text

MISSING 

Distinct757
Distinct (%)85.7%
Missing91
Missing (%)9.3%
Memory size7.7 KiB
2023-12-11T05:02:37.280420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length28.458664
Min length20

Characters and Unicode

Total characters25129
Distinct characters245
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

Unique671 ?
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 883
 
17.2%
북구 486
 
9.5%
1층 370
 
7.2%
동구 92
 
1.8%
달서구 86
 
1.7%
금호동 71
 
1.4%
태전동 59
 
1.1%
매천동 59
 
1.1%
서구 57
 
1.1%
달성군 55
 
1.1%
Other values (1057) 2922
56.8%
2023-12-11T05:02:37.900761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4257
 
16.9%
1788
 
7.1%
1 1333
 
5.3%
1098
 
4.4%
1043
 
4.2%
906
 
3.6%
888
 
3.5%
884
 
3.5%
) 861
 
3.4%
( 861
 
3.4%
Other values (235) 11210
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14018
55.8%
Space Separator 4257
 
16.9%
Decimal Number 4130
 
16.4%
Close Punctuation 861
 
3.4%
Open Punctuation 861
 
3.4%
Other Punctuation 665
 
2.6%
Dash Punctuation 295
 
1.2%
Uppercase Letter 38
 
0.2%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1788
 
12.8%
1098
 
7.8%
1043
 
7.4%
906
 
6.5%
888
 
6.3%
884
 
6.3%
766
 
5.5%
655
 
4.7%
526
 
3.8%
508
 
3.6%
Other values (212) 4956
35.4%
Decimal Number
ValueCountFrequency (%)
1 1333
32.3%
2 574
13.9%
3 465
 
11.3%
5 300
 
7.3%
4 280
 
6.8%
0 254
 
6.2%
6 245
 
5.9%
8 242
 
5.9%
7 235
 
5.7%
9 202
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 21
55.3%
B 13
34.2%
C 3
 
7.9%
M 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 662
99.5%
. 2
 
0.3%
/ 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
+ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
4257
100.0%
Close Punctuation
ValueCountFrequency (%)
) 861
100.0%
Open Punctuation
ValueCountFrequency (%)
( 861
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 295
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14018
55.8%
Common 11073
44.1%
Latin 38
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1788
 
12.8%
1098
 
7.8%
1043
 
7.4%
906
 
6.5%
888
 
6.3%
884
 
6.3%
766
 
5.5%
655
 
4.7%
526
 
3.8%
508
 
3.6%
Other values (212) 4956
35.4%
Common
ValueCountFrequency (%)
4257
38.4%
1 1333
 
12.0%
) 861
 
7.8%
( 861
 
7.8%
, 662
 
6.0%
2 574
 
5.2%
3 465
 
4.2%
5 300
 
2.7%
- 295
 
2.7%
4 280
 
2.5%
Other values (9) 1185
 
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 14018
55.8%
ASCII 11111
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4257
38.3%
1 1333
 
12.0%
) 861
 
7.7%
( 861
 
7.7%
, 662
 
6.0%
2 574
 
5.2%
3 465
 
4.2%
5 300
 
2.7%
- 295
 
2.7%
4 280
 
2.5%
Other values (13) 1223
 
11.0%
Hangul
ValueCountFrequency (%)
1788
 
12.8%
1098
 
7.8%
1043
 
7.4%
906
 
6.5%
888
 
6.3%
884
 
6.3%
766
 
5.5%
655
 
4.7%
526
 
3.8%
508
 
3.6%
Other values (212) 4956
35.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct346
Distinct (%)39.4%
Missing95
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean41775.965
Minimum41002
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T05:02:38.095917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41129
Q141459
median41491
Q342153.5
95-th percentile42921.1
Maximum43024
Range2022
Interquartile range (IQR)694.5

Descriptive statistics

Standard deviation542.37622
Coefficient of variation (CV)0.012982973
Kurtosis-0.30982622
Mean41775.965
Median Absolute Deviation (MAD)107
Skewness1.0048365
Sum36721073
Variance294171.96
MonotonicityNot monotonic
2023-12-11T05:02:38.307192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41598 53
 
5.4%
41485 48
 
4.9%
41490 45
 
4.6%
41482 21
 
2.2%
41491 19
 
2.0%
41459 17
 
1.7%
41504 16
 
1.6%
41557 14
 
1.4%
41418 11
 
1.1%
41401 11
 
1.1%
Other values (336) 624
64.1%
(Missing) 95
 
9.8%
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%
Distinct877
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2023-12-11T05:02:38.622678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length6.1416838
Min length1

Characters and Unicode

Total characters5982
Distinct characters404
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

Unique801 ?
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%
성림상사 4
 
0.4%
4
 
0.4%
대성식품 4
 
0.4%
자연유통 3
 
0.3%
유통 3
 
0.3%
우성수산 3
 
0.3%
푸르미푸드 3
 
0.3%
Other values (892) 982
92.4%
2023-12-11T05:02:39.479905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
296
 
4.9%
289
 
4.8%
255
 
4.3%
201
 
3.4%
) 189
 
3.2%
( 183
 
3.1%
151
 
2.5%
135
 
2.3%
135
 
2.3%
135
 
2.3%
Other values (394) 4013
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5423
90.7%
Close Punctuation 189
 
3.2%
Open Punctuation 183
 
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
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
296
 
5.5%
289
 
5.3%
255
 
4.7%
201
 
3.7%
151
 
2.8%
135
 
2.5%
135
 
2.5%
135
 
2.5%
128
 
2.4%
118
 
2.2%
Other values (353) 3580
66.0%
Uppercase Letter
ValueCountFrequency (%)
F 9
17.3%
S 9
17.3%
H 4
 
7.7%
G 4
 
7.7%
D 4
 
7.7%
M 3
 
5.8%
T 3
 
5.8%
B 2
 
3.8%
Y 2
 
3.8%
J 2
 
3.8%
Other values (8) 10
19.2%
Lowercase Letter
ValueCountFrequency (%)
o 4
18.2%
f 4
18.2%
e 3
13.6%
d 2
9.1%
c 2
9.1%
a 2
9.1%
s 1
 
4.5%
r 1
 
4.5%
h 1
 
4.5%
t 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
5 6
46.2%
2 2
 
15.4%
6 2
 
15.4%
1 1
 
7.7%
3 1
 
7.7%
4 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
& 6
66.7%
. 3
33.3%
Close Punctuation
ValueCountFrequency (%)
) 189
100.0%
Open Punctuation
ValueCountFrequency (%)
( 183
100.0%
Space Separator
ValueCountFrequency (%)
89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5423
90.7%
Common 485
 
8.1%
Latin 74
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
296
 
5.5%
289
 
5.3%
255
 
4.7%
201
 
3.7%
151
 
2.8%
135
 
2.5%
135
 
2.5%
135
 
2.5%
128
 
2.4%
118
 
2.2%
Other values (353) 3580
66.0%
Latin
ValueCountFrequency (%)
F 9
 
12.2%
S 9
 
12.2%
H 4
 
5.4%
G 4
 
5.4%
o 4
 
5.4%
D 4
 
5.4%
f 4
 
5.4%
M 3
 
4.1%
T 3
 
4.1%
e 3
 
4.1%
Other values (19) 27
36.5%
Common
ValueCountFrequency (%)
) 189
39.0%
( 183
37.7%
89
18.4%
5 6
 
1.2%
& 6
 
1.2%
. 3
 
0.6%
2 2
 
0.4%
6 2
 
0.4%
- 2
 
0.4%
1 1
 
0.2%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5423
90.7%
ASCII 559
 
9.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
296
 
5.5%
289
 
5.3%
255
 
4.7%
201
 
3.7%
151
 
2.8%
135
 
2.5%
135
 
2.5%
135
 
2.5%
128
 
2.4%
118
 
2.2%
Other values (353) 3580
66.0%
ASCII
ValueCountFrequency (%)
) 189
33.8%
( 183
32.7%
89
15.9%
F 9
 
1.6%
S 9
 
1.6%
5 6
 
1.1%
& 6
 
1.1%
H 4
 
0.7%
G 4
 
0.7%
o 4
 
0.7%
Other values (31) 56
 
10.0%

최종수정시점
Real number (ℝ)

Distinct972
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0167287 × 1013
Minimum2.0080402 × 1013
Maximum2.0220831 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T05:02:39.668970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0080402 × 1013
5-th percentile2.0080929 × 1013
Q12.0130895 × 1013
median2.0180314 × 1013
Q32.0201021 × 1013
95-th percentile2.0220318 × 1013
Maximum2.0220831 × 1013
Range1.4042892 × 1011
Interquartile range (IQR)7.0125262 × 1010

Descriptive statistics

Standard deviation4.2636287 × 1010
Coefficient of variation (CV)0.002114131
Kurtosis-0.83391091
Mean2.0167287 × 1013
Median Absolute Deviation (MAD)3.009099 × 1010
Skewness-0.60365125
Sum1.9642937 × 1016
Variance1.817853 × 1021
MonotonicityNot monotonic
2023-12-11T05:02:39.870548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140123160035 3
 
0.3%
20220428144423 1
 
0.1%
20120208160553 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 (962) 962
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 (%)
20220831091541 1
0.1%
20220829155751 1
0.1%
20220829141215 1
0.1%
20220825133754 1
0.1%
20220823084915 1
0.1%
20220822152350 1
0.1%
20220822152018 1
0.1%
20220818115814 1
0.1%
20220817110511 1
0.1%
20220817110340 1
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
I
600 
U
374 

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
61.6%
U 374
38.4%

Length

2023-12-11T05:02:40.067869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:02:40.202393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 600
61.6%
u 374
38.4%
Distinct353
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
Minimum2018-08-31 23:59:59
Maximum2022-09-02 02:40:00
2023-12-11T05:02:40.347710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:02:40.541866image/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 size7.7 KiB
집단급식소 식품판매업
974 

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 974
100.0%

Length

2023-12-11T05:02:40.734458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:02:40.843696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 974
50.0%
식품판매업 974
50.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct686
Distinct (%)71.2%
Missing11
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean341293.01
Minimum327472.66
Maximum358028.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T05:02:40.979171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327472.66
5-th percentile334877.39
Q1338843.96
median339996.9
Q3344160.1
95-th percentile352348.44
Maximum358028.91
Range30556.245
Interquartile range (IQR)5316.1355

Descriptive statistics

Standard deviation4969.3862
Coefficient of variation (CV)0.014560469
Kurtosis1.0977803
Mean341293.01
Median Absolute Deviation (MAD)2045.9792
Skewness0.71444047
Sum3.2866516 × 108
Variance24694799
MonotonicityNot monotonic
2023-12-11T05:02:41.168596image/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%
339243.983122 10
 
1.0%
340226.615391 9
 
0.9%
340582.375042 9
 
0.9%
337154.796355 8
 
0.8%
336942.357147 7
 
0.7%
337092.660643 5
 
0.5%
337687.891899 5
 
0.5%
Other values (676) 870
89.3%
(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 

Distinct687
Distinct (%)71.3%
Missing11
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean265909.05
Minimum238824.51
Maximum275582
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T05:02:41.364521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238824.51
5-th percentile257674.55
Q1263325.61
median266967.09
Q3268763.26
95-th percentile273173.65
Maximum275582
Range36757.498
Interquartile range (IQR)5437.656

Descriptive statistics

Standard deviation5068.3192
Coefficient of variation (CV)0.019060349
Kurtosis4.0959619
Mean265909.05
Median Absolute Deviation (MAD)2591.003
Skewness-1.3997281
Sum2.5607041 × 108
Variance25687860
MonotonicityNot monotonic
2023-12-11T05:02:41.566544image/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%
268026.454531 10
 
1.0%
267982.433067 9
 
0.9%
274811.331596 9
 
0.9%
267164.64487 8
 
0.8%
267202.145515 7
 
0.7%
273124.515307 5
 
0.5%
267922.07023 5
 
0.5%
Other values (677) 870
89.3%
(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 5
0.5%
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 size7.7 KiB
집단급식소 식품판매업
974 

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 974
100.0%

Length

2023-12-11T05:02:41.800445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:02:41.913326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 974
50.0%
식품판매업 974
50.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
<NA>
836 
0
138 

Length

Max length4
Median length4
Mean length3.5749487
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> 836
85.8%
0 138
 
14.2%

Length

2023-12-11T05:02:42.071096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:02:42.219072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 836
85.8%
0 138
 
14.2%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
<NA>
836 
0
138 

Length

Max length4
Median length4
Mean length3.5749487
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> 836
85.8%
0 138
 
14.2%

Length

2023-12-11T05:02:42.355080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:02:42.499496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 836
85.8%
0 138
 
14.2%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing974
Missing (%)100.0%
Memory size8.7 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing974
Missing (%)100.0%
Memory size8.7 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
<NA>
770 
상수도전용
202 
간이상수도
 
1
지하수전용
 
1

Length

Max length5
Median length4
Mean length4.2094456
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> 770
79.1%
상수도전용 202
 
20.7%
간이상수도 1
 
0.1%
지하수전용 1
 
0.1%

Length

2023-12-11T05:02:42.651402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:02:42.804786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 770
79.1%
상수도전용 202
 
20.7%
간이상수도 1
 
0.1%
지하수전용 1
 
0.1%

총직원수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
<NA>
836 
0
138 

Length

Max length4
Median length4
Mean length3.5749487
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> 836
85.8%
0 138
 
14.2%

Length

2023-12-11T05:02:42.969324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:02:43.144447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 836
85.8%
0 138
 
14.2%

본사직원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
0
598 
<NA>
365 
2
 
8
1
 
2
4
 
1

Length

Max length4
Median length1
Mean length2.12423
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 598
61.4%
<NA> 365
37.5%
2 8
 
0.8%
1 2
 
0.2%
4 1
 
0.1%

Length

2023-12-11T05:02:43.337601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:02:43.533121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 598
61.4%
na 365
37.5%
2 8
 
0.8%
1 2
 
0.2%
4 1
 
0.1%

공장사무직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
0
593 
<NA>
367 
1
 
7
3
 
5
5
 
1

Length

Max length4
Median length1
Mean length2.1303901
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 593
60.9%
<NA> 367
37.7%
1 7
 
0.7%
3 5
 
0.5%
5 1
 
0.1%
2 1
 
0.1%

Length

2023-12-11T05:02:43.714772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:02:43.908387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 593
60.9%
na 367
37.7%
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%
Missing366
Missing (%)37.6%
Infinite0
Infinite (%)0.0%
Mean0.11677632
Minimum0
Maximum15
Zeros584
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T05:02:44.091387image/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 deviation0.82855632
Coefficient of variation (CV)7.0952428
Kurtosis184.00126
Mean0.11677632
Median Absolute Deviation (MAD)0
Skewness11.949072
Sum71
Variance0.68650557
MonotonicityNot monotonic
2023-12-11T05:02:44.387947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 584
60.0%
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) 366
37.6%
ValueCountFrequency (%)
0 584
60.0%
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%
0 584
60.0%

공장생산직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
0
602 
<NA>
366 
1
 
3
4
 
1
5
 
1

Length

Max length4
Median length1
Mean length2.1283368
Min length1

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 602
61.8%
<NA> 366
37.6%
1 3
 
0.3%
4 1
 
0.1%
5 1
 
0.1%
24 1
 
0.1%

Length

2023-12-11T05:02:44.692068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:02:44.867651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 602
61.8%
na 366
37.6%
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 size7.7 KiB
<NA>
797 
자가
108 
임대
 
69

Length

Max length4
Median length4
Mean length3.6365503
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
81.8%
자가 108
 
11.1%
임대 69
 
7.1%

Length

2023-12-11T05:02:45.078882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:02:45.239174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 797
81.8%
자가 108
 
11.1%
임대 69
 
7.1%

보증액
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
<NA>
836 
0
138 

Length

Max length4
Median length4
Mean length3.5749487
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> 836
85.8%
0 138
 
14.2%

Length

2023-12-11T05:02:45.419039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:02:45.591426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 836
85.8%
0 138
 
14.2%

월세액
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
<NA>
836 
0
138 

Length

Max length4
Median length4
Mean length3.5749487
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> 836
85.8%
0 138
 
14.2%

Length

2023-12-11T05:02:45.756865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:02:45.934628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 836
85.8%
0 138
 
14.2%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
False
974 
ValueCountFrequency (%)
False 974
100.0%
2023-12-11T05:02:46.053479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9587269
Minimum0
Maximum250.35
Zeros879
Zeros (%)90.2%
Negative0
Negative (%)0.0%
Memory size8.7 KiB
2023-12-11T05:02:46.237832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15.9225
Maximum250.35
Range250.35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.404719
Coefficient of variation (CV)5.2065363
Kurtosis111.08192
Mean2.9587269
Median Absolute Deviation (MAD)0
Skewness9.2612337
Sum2881.8
Variance237.30537
MonotonicityNot monotonic
2023-12-11T05:02:46.498139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 879
90.2%
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%
41.84 1
 
0.1%
Other values (72) 72
 
7.4%
ValueCountFrequency (%)
0.0 879
90.2%
1.0 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%
4.14 1
 
0.1%
ValueCountFrequency (%)
250.35 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%
67.78 1
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing974
Missing (%)100.0%
Memory size8.7 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing974
Missing (%)100.0%
Memory size8.7 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing974
Missing (%)100.0%
Memory size8.7 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
964965집단급식소식품판매업07_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>
965966집단급식소식품판매업07_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>
966967집단급식소식품판매업07_22_01_P34800003480000-122-2008-0001020080911<NA>3폐업2폐업20100728<NA><NA><NA>053 637642136.45711832대구광역시 달성군 화원읍 명곡리 214-5<NA><NA>주)미담20090907130838I2018-08-31 23:59:59.0집단급식소 식품판매업334641.736112256444.108274집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
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