Overview

Dataset statistics

Number of variables47
Number of observations893
Missing cells13890
Missing cells (%)33.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory354.2 KiB
Average record size in memory406.1 B

Variable types

Numeric11
Categorical14
Text6
Unsupported14
DateTime1
Boolean1

Dataset

Description6270000_대구광역시_07_22_01_P_집단급식소식품판매업_2월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000088428&dataSetDetailId=DDI_0000088486&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
위생업태명 is highly imbalanced (98.7%)Imbalance
급수시설구분명 is highly imbalanced (61.0%)Imbalance
본사종업원수 is highly imbalanced (53.2%)Imbalance
공장사무직종업원수 is highly imbalanced (56.8%)Imbalance
공장생산직종업원수 is highly imbalanced (59.2%)Imbalance
건물소유구분명 is highly imbalanced (50.6%)Imbalance
인허가취소일자 has 893 (100.0%) missing valuesMissing
폐업일자 has 409 (45.8%) missing valuesMissing
휴업시작일자 has 893 (100.0%) missing valuesMissing
휴업종료일자 has 893 (100.0%) missing valuesMissing
재개업일자 has 893 (100.0%) missing valuesMissing
소재지전화 has 327 (36.6%) missing valuesMissing
소재지면적 has 47 (5.3%) missing valuesMissing
도로명전체주소 has 90 (10.1%) missing valuesMissing
도로명우편번호 has 92 (10.3%) missing valuesMissing
좌표정보(X) has 10 (1.1%) missing valuesMissing
좌표정보(Y) has 10 (1.1%) missing valuesMissing
남성종사자수 has 893 (100.0%) missing valuesMissing
여성종사자수 has 893 (100.0%) missing valuesMissing
영업장주변구분명 has 893 (100.0%) missing valuesMissing
등급구분명 has 893 (100.0%) missing valuesMissing
총종업원수 has 893 (100.0%) missing valuesMissing
공장판매직종업원수 has 392 (43.9%) missing valuesMissing
보증액 has 893 (100.0%) missing valuesMissing
월세액 has 893 (100.0%) missing valuesMissing
전통업소지정번호 has 893 (100.0%) missing valuesMissing
전통업소주된음식 has 893 (100.0%) missing valuesMissing
홈페이지 has 893 (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
남성종사자수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
여성종사자수 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
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보증액 is an unsupported type, check if it needs cleaning or further analysisUnsupported
월세액 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
공장판매직종업원수 has 477 (53.4%) zerosZeros
시설총규모 has 815 (91.3%) zerosZeros

Reproduction

Analysis started2023-12-10 18:35:04.477998
Analysis finished2023-12-10 18:35:06.247876
Duration1.77 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct893
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447
Minimum1
Maximum893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2023-12-11T03:35:06.359668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile45.6
Q1224
median447
Q3670
95-th percentile848.4
Maximum893
Range892
Interquartile range (IQR)446

Descriptive statistics

Standard deviation257.93119
Coefficient of variation (CV)0.57702728
Kurtosis-1.2
Mean447
Median Absolute Deviation (MAD)223
Skewness0
Sum399171
Variance66528.5
MonotonicityStrictly increasing
2023-12-11T03:35:06.581642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
601 1
 
0.1%
590 1
 
0.1%
591 1
 
0.1%
592 1
 
0.1%
593 1
 
0.1%
594 1
 
0.1%
595 1
 
0.1%
596 1
 
0.1%
597 1
 
0.1%
Other values (883) 883
98.9%
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 (%)
893 1
0.1%
892 1
0.1%
891 1
0.1%
890 1
0.1%
889 1
0.1%
888 1
0.1%
887 1
0.1%
886 1
0.1%
885 1
0.1%
884 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
집단급식소식품판매업
893 

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 893
100.0%

Length

2023-12-11T03:35:06.833457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:06.989185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소식품판매업 893
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
07_22_01_P
893 

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 893
100.0%

Length

2023-12-11T03:35:07.173804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:07.347012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_01_p 893
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3448667.4
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2023-12-11T03:35:07.477318image/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 deviation16193.692
Coefficient of variation (CV)0.0046956376
Kurtosis-0.017317009
Mean3448667.4
Median Absolute Deviation (MAD)0
Skewness-0.23753549
Sum3.07966 × 109
Variance2.6223567 × 108
MonotonicityIncreasing
2023-12-11T03:35:07.659449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 470
52.6%
3420000 101
 
11.3%
3470000 88
 
9.9%
3430000 62
 
6.9%
3480000 58
 
6.5%
3460000 57
 
6.4%
3440000 43
 
4.8%
3410000 14
 
1.6%
ValueCountFrequency (%)
3410000 14
 
1.6%
3420000 101
 
11.3%
3430000 62
 
6.9%
3440000 43
 
4.8%
3450000 470
52.6%
3460000 57
 
6.4%
3470000 88
 
9.9%
3480000 58
 
6.5%
ValueCountFrequency (%)
3480000 58
 
6.5%
3470000 88
 
9.9%
3460000 57
 
6.4%
3450000 470
52.6%
3440000 43
 
4.8%
3430000 62
 
6.9%
3420000 101
 
11.3%
3410000 14
 
1.6%

관리번호
Text

UNIQUE 

Distinct893
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
2023-12-11T03:35:07.976859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters19646
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

Unique893 ?
Unique (%)100.0%

Sample

1st row3410000-122-2017-00001
2nd row3410000-122-2015-00004
3rd row3410000-122-2015-00002
4th row3410000-122-2009-00002
5th row3410000-122-2009-00001
ValueCountFrequency (%)
3410000-122-2017-00001 1
 
0.1%
3450000-122-2020-00033 1
 
0.1%
3450000-122-2017-00017 1
 
0.1%
3450000-122-2018-00017 1
 
0.1%
3450000-122-2018-00021 1
 
0.1%
3450000-122-2018-00020 1
 
0.1%
3450000-122-2018-00019 1
 
0.1%
3450000-122-2018-00016 1
 
0.1%
3450000-122-2018-00015 1
 
0.1%
3450000-122-2018-00014 1
 
0.1%
Other values (883) 883
98.9%
2023-12-11T03:35:08.408725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8022
40.8%
2 3139
 
16.0%
- 2679
 
13.6%
1 1896
 
9.7%
3 1170
 
6.0%
4 1111
 
5.7%
5 655
 
3.3%
8 368
 
1.9%
7 222
 
1.1%
6 211
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16967
86.4%
Dash Punctuation 2679
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8022
47.3%
2 3139
 
18.5%
1 1896
 
11.2%
3 1170
 
6.9%
4 1111
 
6.5%
5 655
 
3.9%
8 368
 
2.2%
7 222
 
1.3%
6 211
 
1.2%
9 173
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 2679
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19646
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8022
40.8%
2 3139
 
16.0%
- 2679
 
13.6%
1 1896
 
9.7%
3 1170
 
6.0%
4 1111
 
5.7%
5 655
 
3.3%
8 368
 
1.9%
7 222
 
1.1%
6 211
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19646
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8022
40.8%
2 3139
 
16.0%
- 2679
 
13.6%
1 1896
 
9.7%
3 1170
 
6.0%
4 1111
 
5.7%
5 655
 
3.3%
8 368
 
1.9%
7 222
 
1.1%
6 211
 
1.1%

인허가일자
Real number (ℝ)

Distinct665
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20134635
Minimum20080314
Maximum20210226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2023-12-11T03:35:08.654974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080314
5-th percentile20080619
Q120091116
median20131205
Q320170405
95-th percentile20200256
Maximum20210226
Range129912
Interquartile range (IQR)79289

Descriptive statistics

Standard deviation40911.798
Coefficient of variation (CV)0.0020319116
Kurtosis-1.3160596
Mean20134635
Median Absolute Deviation (MAD)39212
Skewness0.093568414
Sum1.7980229 × 1010
Variance1.6737752 × 109
MonotonicityNot monotonic
2023-12-11T03:35:08.925632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080911 21
 
2.4%
20080909 8
 
0.9%
20080725 7
 
0.8%
20080828 6
 
0.7%
20080912 5
 
0.6%
20100707 5
 
0.6%
20110530 5
 
0.6%
20080902 4
 
0.4%
20080917 4
 
0.4%
20150120 4
 
0.4%
Other values (655) 824
92.3%
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 (%)
20210226 1
0.1%
20210224 2
0.2%
20210216 1
0.1%
20210209 1
0.1%
20210129 1
0.1%
20210126 1
0.1%
20210108 1
0.1%
20210104 1
0.1%
20201211 1
0.1%
20201202 1
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing893
Missing (%)100.0%
Memory size8.0 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
3
484 
1
409 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 484
54.2%
1 409
45.8%

Length

2023-12-11T03:35:09.146993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:09.308680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 484
54.2%
1 409
45.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
폐업
484 
영업/정상
409 

Length

Max length5
Median length2
Mean length3.3740202
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 484
54.2%
영업/정상 409
45.8%

Length

2023-12-11T03:35:09.489028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:09.664227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 484
54.2%
영업/정상 409
45.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
2
484 
1
409 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 484
54.2%
1 409
45.8%

Length

2023-12-11T03:35:09.826975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:10.002159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 484
54.2%
1 409
45.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
폐업
484 
영업
409 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 484
54.2%
영업 409
45.8%

Length

2023-12-11T03:35:10.183003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:10.346792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 484
54.2%
영업 409
45.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct424
Distinct (%)87.6%
Missing409
Missing (%)45.8%
Infinite0
Infinite (%)0.0%
Mean20152848
Minimum20080414
Maximum20210209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2023-12-11T03:35:10.573308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080414
5-th percentile20100316
Q120130122
median20160330
Q320180347
95-th percentile20200897
Maximum20210209
Range129795
Interquartile range (IQR)50224.75

Descriptive statistics

Standard deviation32751.119
Coefficient of variation (CV)0.001625136
Kurtosis-0.96333645
Mean20152848
Median Absolute Deviation (MAD)29428
Skewness-0.26790003
Sum9.7539786 × 109
Variance1.0726358 × 109
MonotonicityNot monotonic
2023-12-11T03:35:10.827071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161102 6
 
0.7%
20100728 3
 
0.3%
20201231 3
 
0.3%
20160623 3
 
0.3%
20171229 3
 
0.3%
20190604 3
 
0.3%
20161230 3
 
0.3%
20201215 2
 
0.2%
20150909 2
 
0.2%
20190225 2
 
0.2%
Other values (414) 454
50.8%
(Missing) 409
45.8%
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 (%)
20210209 1
 
0.1%
20210120 1
 
0.1%
20210119 1
 
0.1%
20210115 1
 
0.1%
20210106 1
 
0.1%
20210105 1
 
0.1%
20201231 3
0.3%
20201230 1
 
0.1%
20201228 1
 
0.1%
20201224 1
 
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing893
Missing (%)100.0%
Memory size8.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing893
Missing (%)100.0%
Memory size8.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing893
Missing (%)100.0%
Memory size8.0 KiB

소재지전화
Text

MISSING 

Distinct518
Distinct (%)91.5%
Missing327
Missing (%)36.6%
Memory size7.1 KiB
2023-12-11T03:35:11.316284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.777385
Min length8

Characters and Unicode

Total characters6666
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

Unique478 ?
Unique (%)84.5%

Sample

1st row053 6222090
2nd row053 252 2930
3rd row053 2547772
4th row053 7684620
5th row053 768 4620
ValueCountFrequency (%)
053 508
32.8%
311 24
 
1.5%
070 18
 
1.2%
312 17
 
1.1%
313 16
 
1.0%
981 10
 
0.6%
314 10
 
0.6%
321 10
 
0.6%
323 9
 
0.6%
353 8
 
0.5%
Other values (657) 920
59.4%
2023-12-11T03:35:12.091866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1019
15.3%
5 1012
15.2%
986
14.8%
0 942
14.1%
1 494
7.4%
2 469
7.0%
6 423
6.3%
8 358
 
5.4%
7 355
 
5.3%
9 305
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5680
85.2%
Space Separator 986
 
14.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1019
17.9%
5 1012
17.8%
0 942
16.6%
1 494
8.7%
2 469
8.3%
6 423
7.4%
8 358
 
6.3%
7 355
 
6.2%
9 305
 
5.4%
4 303
 
5.3%
Space Separator
ValueCountFrequency (%)
986
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6666
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1019
15.3%
5 1012
15.2%
986
14.8%
0 942
14.1%
1 494
7.4%
2 469
7.0%
6 423
6.3%
8 358
 
5.4%
7 355
 
5.3%
9 305
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6666
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1019
15.3%
5 1012
15.2%
986
14.8%
0 942
14.1%
1 494
7.4%
2 469
7.0%
6 423
6.3%
8 358
 
5.4%
7 355
 
5.3%
9 305
 
4.6%

소재지면적
Text

MISSING 

Distinct578
Distinct (%)68.3%
Missing47
Missing (%)5.3%
Memory size7.1 KiB
2023-12-11T03:35:12.793545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.2884161
Min length3

Characters and Unicode

Total characters4474
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

Unique475 ?
Unique (%)56.1%

Sample

1st row42.00
2nd row93.24
3rd row21.46
4th row65.17
5th row33.00
ValueCountFrequency (%)
66.00 19
 
2.2%
33.00 18
 
2.1%
30.00 14
 
1.7%
60.00 13
 
1.5%
20.00 12
 
1.4%
00 10
 
1.2%
132.00 10
 
1.2%
100.00 10
 
1.2%
40.00 9
 
1.1%
10.00 8
 
0.9%
Other values (568) 723
85.5%
2023-12-11T03:35:13.713763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1129
25.2%
. 846
18.9%
1 399
 
8.9%
2 343
 
7.7%
6 304
 
6.8%
5 287
 
6.4%
3 281
 
6.3%
4 265
 
5.9%
8 232
 
5.2%
9 224
 
5.0%
Other values (2) 164
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3627
81.1%
Other Punctuation 847
 
18.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1129
31.1%
1 399
 
11.0%
2 343
 
9.5%
6 304
 
8.4%
5 287
 
7.9%
3 281
 
7.7%
4 265
 
7.3%
8 232
 
6.4%
9 224
 
6.2%
7 163
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 846
99.9%
, 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 4474
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1129
25.2%
. 846
18.9%
1 399
 
8.9%
2 343
 
7.7%
6 304
 
6.8%
5 287
 
6.4%
3 281
 
6.3%
4 265
 
5.9%
8 232
 
5.2%
9 224
 
5.0%
Other values (2) 164
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4474
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1129
25.2%
. 846
18.9%
1 399
 
8.9%
2 343
 
7.7%
6 304
 
6.8%
5 287
 
6.4%
3 281
 
6.3%
4 265
 
5.9%
8 232
 
5.2%
9 224
 
5.0%
Other values (2) 164
 
3.7%

소재지우편번호
Real number (ℝ)

Distinct270
Distinct (%)30.5%
Missing8
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean703792.79
Minimum700082
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2023-12-11T03:35:14.094069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700082
5-th percentile701817.6
Q1702802
median702865
Q3704807
95-th percentile711814
Maximum711892
Range11810
Interquartile range (IQR)2005

Descriptive statistics

Standard deviation2416.442
Coefficient of variation (CV)0.0034334566
Kurtosis4.4312369
Mean703792.79
Median Absolute Deviation (MAD)565
Skewness2.1238172
Sum6.2285662 × 108
Variance5839191.9
MonotonicityNot monotonic
2023-12-11T03:35:14.314987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
702825 64
 
7.2%
702300 44
 
4.9%
702903 36
 
4.0%
702845 22
 
2.5%
702865 19
 
2.1%
702867 19
 
2.1%
702847 18
 
2.0%
702877 17
 
1.9%
702090 16
 
1.8%
702863 15
 
1.7%
Other values (260) 615
68.9%
ValueCountFrequency (%)
700082 1
 
0.1%
700111 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%
700847 2
0.2%
ValueCountFrequency (%)
711892 1
 
0.1%
711874 4
0.4%
711873 1
 
0.1%
711872 1
 
0.1%
711858 1
 
0.1%
711856 2
0.2%
711855 1
 
0.1%
711852 3
0.3%
711844 3
0.3%
711843 2
0.2%

소재지전체주소
Text

Distinct717
Distinct (%)80.4%
Missing1
Missing (%)0.1%
Memory size7.1 KiB
2023-12-11T03:35:14.858936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length42
Mean length22.850897
Min length16

Characters and Unicode

Total characters20383
Distinct characters205
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique613 ?
Unique (%)68.7%

Sample

1st row대구광역시 중구 교동 0067-0012번지 교동시장 2층60호
2nd row대구광역시 중구 남산동 2466-0002번지 지상1층
3rd row대구광역시 중구 달성동 0033-0005번지 지상1층
4th row대구광역시 중구 계산동2가 0250-0001번지 1층
5th row대구광역시 중구 동인동4가 0248-0020번지 지상2층
ValueCountFrequency (%)
대구광역시 892
22.9%
북구 470
 
12.1%
동구 99
 
2.5%
달서구 88
 
2.3%
매천동 75
 
1.9%
태전동 68
 
1.7%
서구 62
 
1.6%
팔달동 60
 
1.5%
달성군 58
 
1.5%
수성구 58
 
1.5%
Other values (923) 1964
50.4%
2023-12-11T03:35:15.645110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3881
19.0%
구 1750
 
8.6%
동 995
 
4.9%
대 930
 
4.6%
시 903
 
4.4%
광 893
 
4.4%
역 893
 
4.4%
지 859
 
4.2%
1 848
 
4.2%
번 782
 
3.8%
Other values (195) 7649
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11474
56.3%
Decimal Number 4176
 
20.5%
Space Separator 3881
 
19.0%
Dash Punctuation 684
 
3.4%
Close Punctuation 59
 
0.3%
Open Punctuation 59
 
0.3%
Other Punctuation 25
 
0.1%
Uppercase Letter 22
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1750
15.3%
동 995
 
8.7%
대 930
 
8.1%
시 903
 
7.9%
광 893
 
7.8%
역 893
 
7.8%
지 859
 
7.5%
번 782
 
6.8%
북 474
 
4.1%
달 207
 
1.8%
Other values (169) 2788
24.3%
Decimal Number
ValueCountFrequency (%)
1 848
20.3%
2 519
12.4%
0 499
11.9%
3 418
10.0%
4 375
9.0%
5 337
 
8.1%
8 323
 
7.7%
7 323
 
7.7%
6 291
 
7.0%
9 243
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 9
40.9%
A 8
36.4%
C 3
 
13.6%
M 1
 
4.5%
D 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 22
88.0%
. 1
 
4.0%
/ 1
 
4.0%
: 1
 
4.0%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
3881
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 684
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11474
56.3%
Common 8886
43.6%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1750
15.3%
동 995
 
8.7%
대 930
 
8.1%
시 903
 
7.9%
광 893
 
7.8%
역 893
 
7.8%
지 859
 
7.5%
번 782
 
6.8%
북 474
 
4.1%
달 207
 
1.8%
Other values (169) 2788
24.3%
Common
ValueCountFrequency (%)
3881
43.7%
1 848
 
9.5%
- 684
 
7.7%
2 519
 
5.8%
0 499
 
5.6%
3 418
 
4.7%
4 375
 
4.2%
5 337
 
3.8%
8 323
 
3.6%
7 323
 
3.6%
Other values (10) 679
 
7.6%
Latin
ValueCountFrequency (%)
B 9
39.1%
A 8
34.8%
C 3
 
13.0%
M 1
 
4.3%
e 1
 
4.3%
D 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11474
56.3%
ASCII 8909
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3881
43.6%
1 848
 
9.5%
- 684
 
7.7%
2 519
 
5.8%
0 499
 
5.6%
3 418
 
4.7%
4 375
 
4.2%
5 337
 
3.8%
8 323
 
3.6%
7 323
 
3.6%
Other values (16) 702
 
7.9%
Hangul
ValueCountFrequency (%)
구 1750
15.3%
동 995
 
8.7%
대 930
 
8.1%
시 903
 
7.9%
광 893
 
7.8%
역 893
 
7.8%
지 859
 
7.5%
번 782
 
6.8%
북 474
 
4.1%
달 207
 
1.8%
Other values (169) 2788
24.3%

도로명전체주소
Text

MISSING 

Distinct673
Distinct (%)83.8%
Missing90
Missing (%)10.1%
Memory size7.1 KiB
2023-12-11T03:35:16.198318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length28.102117
Min length20

Characters and Unicode

Total characters22566
Distinct characters239
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique586 ?
Unique (%)73.0%

Sample

1st row대구광역시 중구 교동길 40, 교동시장 2층60호 (교동)
2nd row대구광역시 중구 남산로15길 20 (남산동, 지상1층)
3rd row대구광역시 중구 달성로21길 48 (달성동, 지상1층)
4th row대구광역시 중구 달구벌대로 2081-24, 1층 (계산동2가)
5th row대구광역시 중구 명덕로 41 (남산동)
ValueCountFrequency (%)
대구광역시 803
 
17.4%
북구 441
 
9.6%
1층 321
 
7.0%
동구 83
 
1.8%
달서구 79
 
1.7%
태전동 61
 
1.3%
매천동 57
 
1.2%
팔달동 56
 
1.2%
서구 53
 
1.1%
달성군 49
 
1.1%
Other values (982) 2610
56.6%
2023-12-11T03:35:16.943684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3810
 
16.9%
구 1627
 
7.2%
1 1157
 
5.1%
동 998
 
4.4%
대 947
 
4.2%
시 825
 
3.7%
역 808
 
3.6%
광 804
 
3.6%
( 790
 
3.5%
) 790
 
3.5%
Other values (229) 10010
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12681
56.2%
Space Separator 3810
 
16.9%
Decimal Number 3627
 
16.1%
Open Punctuation 790
 
3.5%
Close Punctuation 790
 
3.5%
Other Punctuation 570
 
2.5%
Dash Punctuation 257
 
1.1%
Uppercase Letter 36
 
0.2%
Math Symbol 4
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1627
 
12.8%
동 998
 
7.9%
대 947
 
7.5%
시 825
 
6.5%
역 808
 
6.4%
광 804
 
6.3%
로 690
 
5.4%
길 591
 
4.7%
북 465
 
3.7%
층 462
 
3.6%
Other values (205) 4464
35.2%
Decimal Number
ValueCountFrequency (%)
1 1157
31.9%
2 513
14.1%
3 404
 
11.1%
5 274
 
7.6%
4 258
 
7.1%
6 222
 
6.1%
7 214
 
5.9%
0 211
 
5.8%
8 194
 
5.3%
9 180
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 19
52.8%
B 13
36.1%
C 3
 
8.3%
M 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 567
99.5%
. 2
 
0.4%
/ 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
+ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
3810
100.0%
Open Punctuation
ValueCountFrequency (%)
( 790
100.0%
Close Punctuation
ValueCountFrequency (%)
) 790
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 257
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12681
56.2%
Common 9848
43.6%
Latin 37
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1627
 
12.8%
동 998
 
7.9%
대 947
 
7.5%
시 825
 
6.5%
역 808
 
6.4%
광 804
 
6.3%
로 690
 
5.4%
길 591
 
4.7%
북 465
 
3.7%
층 462
 
3.6%
Other values (205) 4464
35.2%
Common
ValueCountFrequency (%)
3810
38.7%
1 1157
 
11.7%
( 790
 
8.0%
) 790
 
8.0%
, 567
 
5.8%
2 513
 
5.2%
3 404
 
4.1%
5 274
 
2.8%
4 258
 
2.6%
- 257
 
2.6%
Other values (9) 1028
 
10.4%
Latin
ValueCountFrequency (%)
A 19
51.4%
B 13
35.1%
C 3
 
8.1%
M 1
 
2.7%
e 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12681
56.2%
ASCII 9885
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3810
38.5%
1 1157
 
11.7%
( 790
 
8.0%
) 790
 
8.0%
, 567
 
5.7%
2 513
 
5.2%
3 404
 
4.1%
5 274
 
2.8%
4 258
 
2.6%
- 257
 
2.6%
Other values (14) 1065
 
10.8%
Hangul
ValueCountFrequency (%)
구 1627
 
12.8%
동 998
 
7.9%
대 947
 
7.5%
시 825
 
6.5%
역 808
 
6.4%
광 804
 
6.3%
로 690
 
5.4%
길 591
 
4.7%
북 465
 
3.7%
층 462
 
3.6%
Other values (205) 4464
35.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct325
Distinct (%)40.6%
Missing92
Missing (%)10.3%
Infinite0
Infinite (%)0.0%
Mean41772.367
Minimum41002
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2023-12-11T03:35:17.212530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41129
Q141459
median41490
Q342148
95-th percentile42922
Maximum43024
Range2022
Interquartile range (IQR)689

Descriptive statistics

Standard deviation543.3236
Coefficient of variation (CV)0.013006771
Kurtosis-0.29515008
Mean41772.367
Median Absolute Deviation (MAD)90
Skewness1.0221471
Sum33459666
Variance295200.53
MonotonicityNot monotonic
2023-12-11T03:35:17.468773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41490 46
 
5.2%
41485 46
 
5.2%
41598 22
 
2.5%
41482 19
 
2.1%
41491 19
 
2.1%
41504 16
 
1.8%
41459 16
 
1.8%
41557 13
 
1.5%
41468 11
 
1.2%
41401 11
 
1.2%
Other values (315) 582
65.2%
(Missing) 92
 
10.3%
ValueCountFrequency (%)
41002 3
0.3%
41007 1
 
0.1%
41034 1
 
0.1%
41037 1
 
0.1%
41051 1
 
0.1%
41055 2
0.2%
41056 2
0.2%
41065 1
 
0.1%
41068 1
 
0.1%
41078 3
0.3%
ValueCountFrequency (%)
43024 1
 
0.1%
43018 1
 
0.1%
43011 1
 
0.1%
43005 1
 
0.1%
43003 4
0.4%
43000 1
 
0.1%
42998 1
 
0.1%
42993 1
 
0.1%
42985 1
 
0.1%
42982 1
 
0.1%

사업장명
Text

Distinct806
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
2023-12-11T03:35:17.963869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length6.1735722
Min length1

Characters and Unicode

Total characters5513
Distinct characters396
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

Unique739 ?
Unique (%)82.8%

Sample

1st row진솔
2nd row아이누리 대구5호점
3rd row해뜰축산
4th row이층과일집
5th row오케이식품
ValueCountFrequency (%)
주식회사 40
 
4.1%
농업회사법인 6
 
0.6%
월배농협 5
 
0.5%
성림상사 4
 
0.4%
주 4
 
0.4%
대성식품 4
 
0.4%
자연유통 3
 
0.3%
준푸드시스템 3
 
0.3%
거성유통 3
 
0.3%
우성수산 3
 
0.3%
Other values (819) 898
92.3%
2023-12-11T03:35:18.707004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
푸 266
 
4.8%
드 261
 
4.7%
주 236
 
4.3%
식 188
 
3.4%
) 178
 
3.2%
( 172
 
3.1%
대 137
 
2.5%
유 122
 
2.2%
산 119
 
2.2%
사 118
 
2.1%
Other values (386) 3716
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4994
90.6%
Close Punctuation 178
 
3.2%
Open Punctuation 172
 
3.1%
Space Separator 80
 
1.5%
Uppercase Letter 48
 
0.9%
Lowercase Letter 18
 
0.3%
Decimal Number 13
 
0.2%
Other Punctuation 8
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
푸 266
 
5.3%
드 261
 
5.2%
주 236
 
4.7%
식 188
 
3.8%
대 137
 
2.7%
유 122
 
2.4%
산 119
 
2.4%
사 118
 
2.4%
회 116
 
2.3%
통 106
 
2.1%
Other values (346) 3325
66.6%
Uppercase Letter
ValueCountFrequency (%)
S 7
14.6%
F 7
14.6%
G 4
 
8.3%
H 4
 
8.3%
D 4
 
8.3%
T 3
 
6.2%
M 3
 
6.2%
B 2
 
4.2%
J 2
 
4.2%
O 2
 
4.2%
Other values (8) 10
20.8%
Lowercase Letter
ValueCountFrequency (%)
o 4
22.2%
e 3
16.7%
d 2
11.1%
f 2
11.1%
a 2
11.1%
r 1
 
5.6%
c 1
 
5.6%
h 1
 
5.6%
t 1
 
5.6%
l 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
5 6
46.2%
2 2
 
15.4%
6 2
 
15.4%
4 1
 
7.7%
1 1
 
7.7%
3 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
& 5
62.5%
. 3
37.5%
Close Punctuation
ValueCountFrequency (%)
) 178
100.0%
Open Punctuation
ValueCountFrequency (%)
( 172
100.0%
Space Separator
ValueCountFrequency (%)
80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4994
90.6%
Common 453
 
8.2%
Latin 66
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
푸 266
 
5.3%
드 261
 
5.2%
주 236
 
4.7%
식 188
 
3.8%
대 137
 
2.7%
유 122
 
2.4%
산 119
 
2.4%
사 118
 
2.4%
회 116
 
2.3%
통 106
 
2.1%
Other values (346) 3325
66.6%
Latin
ValueCountFrequency (%)
S 7
 
10.6%
F 7
 
10.6%
G 4
 
6.1%
o 4
 
6.1%
H 4
 
6.1%
D 4
 
6.1%
e 3
 
4.5%
T 3
 
4.5%
M 3
 
4.5%
d 2
 
3.0%
Other values (18) 25
37.9%
Common
ValueCountFrequency (%)
) 178
39.3%
( 172
38.0%
80
17.7%
5 6
 
1.3%
& 5
 
1.1%
. 3
 
0.7%
2 2
 
0.4%
- 2
 
0.4%
6 2
 
0.4%
4 1
 
0.2%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4994
90.6%
ASCII 519
 
9.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
푸 266
 
5.3%
드 261
 
5.2%
주 236
 
4.7%
식 188
 
3.8%
대 137
 
2.7%
유 122
 
2.4%
산 119
 
2.4%
사 118
 
2.4%
회 116
 
2.3%
통 106
 
2.1%
Other values (346) 3325
66.6%
ASCII
ValueCountFrequency (%)
) 178
34.3%
( 172
33.1%
80
15.4%
S 7
 
1.3%
F 7
 
1.3%
5 6
 
1.2%
& 5
 
1.0%
G 4
 
0.8%
o 4
 
0.8%
H 4
 
0.8%
Other values (30) 52
 
10.0%

최종수정시점
Real number (ℝ)

Distinct891
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0158643 × 1013
Minimum2.0080402 × 1013
Maximum2.0210226 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2023-12-11T03:35:19.405421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0080402 × 1013
5-th percentile2.0080923 × 1013
Q12.0130308 × 1013
median2.0170808 × 1013
Q32.0190821 × 1013
95-th percentile2.0201213 × 1013
Maximum2.0210226 × 1013
Range1.2982397 × 1011
Interquartile range (IQR)6.0513011 × 1010

Descriptive statistics

Standard deviation3.8886265 × 1010
Coefficient of variation (CV)0.001929012
Kurtosis-0.87219509
Mean2.0158643 × 1013
Median Absolute Deviation (MAD)2.9410954 × 1010
Skewness-0.61741747
Sum1.8001669 × 1016
Variance1.5121416 × 1021
MonotonicityNot monotonic
2023-12-11T03:35:19.714297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140123160035 3
 
0.3%
20171222090335 1
 
0.1%
20210223102517 1
 
0.1%
20180913113609 1
 
0.1%
20170814120529 1
 
0.1%
20180530141247 1
 
0.1%
20190901181427 1
 
0.1%
20180614120714 1
 
0.1%
20190725110234 1
 
0.1%
20180418152508 1
 
0.1%
Other values (881) 881
98.7%
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 (%)
20210226142013 1
0.1%
20210224150746 1
0.1%
20210224142447 1
0.1%
20210223102517 1
0.1%
20210219140631 1
0.1%
20210217115810 1
0.1%
20210216110041 1
0.1%
20210216093915 1
0.1%
20210209153646 1
0.1%
20210209151835 1
0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
I
617 
U
276 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 617
69.1%
U 276
30.9%

Length

2023-12-11T03:35:19.959459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:20.123781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 617
69.1%
u 276
30.9%

데이터갱신일자
Date

Distinct260
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-28 00:23:01
2023-12-11T03:35:20.299563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:35:20.526597image/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 size7.1 KiB
집단급식소 식품판매업
893 

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 893
100.0%

Length

2023-12-11T03:35:20.733855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:20.886115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 893
50.0%
식품판매업 893
50.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct635
Distinct (%)71.9%
Missing10
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean341400.78
Minimum327472.66
Maximum356477.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2023-12-11T03:35:21.062887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327472.66
5-th percentile334892.85
Q1338960.74
median340002.57
Q3344155.35
95-th percentile352348.44
Maximum356477.21
Range29004.543
Interquartile range (IQR)5194.6175

Descriptive statistics

Standard deviation4887.9029
Coefficient of variation (CV)0.014317199
Kurtosis1.182413
Mean341400.78
Median Absolute Deviation (MAD)1692.947
Skewness0.71558563
Sum3.0145689 × 108
Variance23891594
MonotonicityNot monotonic
2023-12-11T03:35:21.306687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345327.736683 15
 
1.7%
339388.690364 15
 
1.7%
338985.366314 10
 
1.1%
340582.375042 8
 
0.9%
340226.615391 8
 
0.9%
339243.983122 8
 
0.9%
336942.357147 6
 
0.7%
339369.85664 6
 
0.7%
340219.667217 5
 
0.6%
342085.116044 5
 
0.6%
Other values (625) 797
89.2%
(Missing) 10
 
1.1%
ValueCountFrequency (%)
327472.663129 1
 
0.1%
327605.063942 1
 
0.1%
327735.044524 3
0.3%
329271.879011 2
0.2%
330037.52576 1
 
0.1%
330099.303114 1
 
0.1%
330260.716912 1
 
0.1%
330345.524542 1
 
0.1%
330420.236793 1
 
0.1%
330420.423913 1
 
0.1%
ValueCountFrequency (%)
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%
354807.053275 3
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct636
Distinct (%)72.0%
Missing10
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean265907.81
Minimum238824.51
Maximum275582
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2023-12-11T03:35:21.579946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238824.51
5-th percentile257637.59
Q1263202.77
median266916.06
Q3268799.54
95-th percentile273173.65
Maximum275582
Range36757.498
Interquartile range (IQR)5596.7698

Descriptive statistics

Standard deviation5139.6494
Coefficient of variation (CV)0.019328689
Kurtosis3.8932187
Mean265907.81
Median Absolute Deviation (MAD)2733.9635
Skewness-1.3806247
Sum2.347966 × 108
Variance26415996
MonotonicityNot monotonic
2023-12-11T03:35:21.799332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268763.26426 15
 
1.7%
269664.126149 15
 
1.7%
267354.446312 10
 
1.1%
274811.331596 8
 
0.9%
267982.433067 8
 
0.9%
268026.454531 8
 
0.9%
267202.145515 6
 
0.7%
269465.845781 6
 
0.7%
273735.131409 5
 
0.6%
273124.515307 5
 
0.6%
Other values (626) 797
89.2%
(Missing) 10
 
1.1%
ValueCountFrequency (%)
238824.505921 1
0.1%
242311.21229 1
0.1%
242810.190989 1
0.1%
244666.642747 1
0.1%
244698.0 1
0.1%
244743.873468 1
0.1%
244757.142677 1
0.1%
244837.601198 1
0.1%
244839.424611 1
0.1%
245000.680792 1
0.1%
ValueCountFrequency (%)
275582.004218 1
 
0.1%
274811.331596 8
0.9%
274594.894588 1
 
0.1%
274508.218106 1
 
0.1%
273735.131409 5
0.6%
273679.002021 1
 
0.1%
273673.031238 4
0.4%
273655.735676 2
 
0.2%
273554.526036 1
 
0.1%
273531.001756 3
 
0.3%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
집단급식소 식품판매업
892 
<NA>
 
1

Length

Max length11
Median length11
Mean length10.992161
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 식품판매업 892
99.9%
<NA> 1
 
0.1%

Length

2023-12-11T03:35:22.027127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:22.173147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 892
50.0%
식품판매업 892
50.0%
na 1
 
0.1%

남성종사자수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing893
Missing (%)100.0%
Memory size8.0 KiB

여성종사자수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing893
Missing (%)100.0%
Memory size8.0 KiB

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing893
Missing (%)100.0%
Memory size8.0 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing893
Missing (%)100.0%
Memory size8.0 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
<NA>
697 
상수도전용
194 
간이상수도
 
1
지하수전용
 
1

Length

Max length5
Median length4
Mean length4.2194849
Min length4

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 697
78.1%
상수도전용 194
 
21.7%
간이상수도 1
 
0.1%
지하수전용 1
 
0.1%

Length

2023-12-11T03:35:22.363505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:22.581891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 697
78.1%
상수도전용 194
 
21.7%
간이상수도 1
 
0.1%
지하수전용 1
 
0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing893
Missing (%)100.0%
Memory size8.0 KiB

본사종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
0
491 
<NA>
391 
2
 
8
1
 
2
4
 
1

Length

Max length4
Median length1
Mean length2.3135498
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 491
55.0%
<NA> 391
43.8%
2 8
 
0.9%
1 2
 
0.2%
4 1
 
0.1%

Length

2023-12-11T03:35:22.808924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:23.022373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 491
55.0%
na 391
43.8%
2 8
 
0.9%
1 2
 
0.2%
4 1
 
0.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
0
486 
<NA>
393 
1
 
7
3
 
5
5
 
1

Length

Max length4
Median length1
Mean length2.3202688
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 486
54.4%
<NA> 393
44.0%
1 7
 
0.8%
3 5
 
0.6%
5 1
 
0.1%
2 1
 
0.1%

Length

2023-12-11T03:35:23.238497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:23.471779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 486
54.4%
na 393
44.0%
1 7
 
0.8%
3 5
 
0.6%
5 1
 
0.1%
2 1
 
0.1%

공장판매직종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)1.6%
Missing392
Missing (%)43.9%
Infinite0
Infinite (%)0.0%
Mean0.14171657
Minimum0
Maximum15
Zeros477
Zeros (%)53.4%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2023-12-11T03:35:23.656718image/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 deviation0.91097544
Coefficient of variation (CV)6.4281506
Kurtosis151.47684
Mean0.14171657
Median Absolute Deviation (MAD)0
Skewness10.840046
Sum71
Variance0.82987625
MonotonicityNot monotonic
2023-12-11T03:35:23.824622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 477
53.4%
1 10
 
1.1%
2 5
 
0.6%
5 4
 
0.4%
3 2
 
0.2%
6 1
 
0.1%
15 1
 
0.1%
4 1
 
0.1%
(Missing) 392
43.9%
ValueCountFrequency (%)
0 477
53.4%
1 10
 
1.1%
2 5
 
0.6%
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
 
0.6%
1 10
 
1.1%
0 477
53.4%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
0
495 
<NA>
392 
1
 
3
4
 
1
24
 
1

Length

Max length4
Median length1
Mean length2.3180291
Min length1

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 495
55.4%
<NA> 392
43.9%
1 3
 
0.3%
4 1
 
0.1%
24 1
 
0.1%
5 1
 
0.1%

Length

2023-12-11T03:35:24.065042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:24.284891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 495
55.4%
na 392
43.9%
1 3
 
0.3%
4 1
 
0.1%
24 1
 
0.1%
5 1
 
0.1%

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
<NA>
753 
자가
 
72
임대
 
68

Length

Max length4
Median length4
Mean length3.6864502
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 753
84.3%
자가 72
 
8.1%
임대 68
 
7.6%

Length

2023-12-11T03:35:24.504820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:35:24.708010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 753
84.3%
자가 72
 
8.1%
임대 68
 
7.6%

보증액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing893
Missing (%)100.0%
Memory size8.0 KiB

월세액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing893
Missing (%)100.0%
Memory size8.0 KiB

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing1
Missing (%)0.1%
Memory size1.9 KiB
False
892 
(Missing)
 
1
ValueCountFrequency (%)
False 892
99.9%
(Missing) 1
 
0.1%
2023-12-11T03:35:24.863870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)7.4%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2.9960314
Minimum0
Maximum295.5
Zeros815
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2023-12-11T03:35:25.048771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12.193
Maximum295.5
Range295.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.23388
Coefficient of variation (CV)6.0860111
Kurtosis134.76996
Mean2.9960314
Median Absolute Deviation (MAD)0
Skewness10.561069
Sum2672.46
Variance332.47439
MonotonicityNot monotonic
2023-12-11T03:35:25.293011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 815
91.3%
6.0 4
 
0.4%
3.0 3
 
0.3%
6.25 2
 
0.2%
10.0 2
 
0.2%
8.12 2
 
0.2%
4.0 2
 
0.2%
12.6 2
 
0.2%
30.0 2
 
0.2%
32.0 2
 
0.2%
Other values (56) 56
 
6.3%
ValueCountFrequency (%)
0.0 815
91.3%
1.0 1
 
0.1%
2.88 1
 
0.1%
3.0 3
 
0.3%
3.62 1
 
0.1%
3.63 1
 
0.1%
4.0 2
 
0.2%
4.14 1
 
0.1%
4.6 1
 
0.1%
4.95 1
 
0.1%
ValueCountFrequency (%)
295.5 1
0.1%
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%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing893
Missing (%)100.0%
Memory size8.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing893
Missing (%)100.0%
Memory size8.0 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing893
Missing (%)100.0%
Memory size8.0 KiB

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01집단급식소식품판매업07_22_01_P34100003410000-122-2017-0000120171220<NA>3폐업2폐업20171221<NA><NA><NA><NA><NA>700801대구광역시 중구 교동 0067-0012번지 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>
12집단급식소식품판매업07_22_01_P34100003410000-122-2015-0000420151112<NA>3폐업2폐업20181205<NA><NA><NA><NA>42.00700837대구광역시 중구 남산동 2466-0002번지 지상1층대구광역시 중구 남산로15길 20 (남산동, 지상1층)41975아이누리 대구5호점20181205155331U2018-12-07 02:40:00.0집단급식소 식품판매업342751.657836263609.374284집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
23집단급식소식품판매업07_22_01_P34100003410000-122-2015-0000220150723<NA>3폐업2폐업20180410<NA><NA><NA>053 622209093.24700841대구광역시 중구 달성동 0033-0005번지 지상1층대구광역시 중구 달성로21길 48 (달성동, 지상1층)41922해뜰축산20180410163036I2018-08-31 23:59:59.0집단급식소 식품판매업342635.736833265104.565973집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N9.3<NA><NA><NA>
34집단급식소식품판매업07_22_01_P34100003410000-122-2009-0000220090805<NA>3폐업2폐업20121130<NA><NA><NA>053 252 293021.46700082대구광역시 중구 계산동2가 0250-0001번지 1층대구광역시 중구 달구벌대로 2081-24, 1층 (계산동2가)41936이층과일집20120319104815I2018-08-31 23:59:59.0집단급식소 식품판매업343652.794292264146.233081집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0100<NA><NA><NA>N0.0<NA><NA><NA>
45집단급식소식품판매업07_22_01_P34100003410000-122-2009-0000120090519<NA>3폐업2폐업20110223<NA><NA><NA><NA>65.17700847대구광역시 중구 동인동4가 0248-0020번지 지상2층<NA><NA>오케이식품20100922171906I2018-08-31 23:59:59.0집단급식소 식품판매업345066.066573264158.08481집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
56집단급식소식품판매업07_22_01_P34100003410000-122-2008-0000320080916<NA>3폐업2폐업20181011<NA><NA><NA>053 254777233.00700808대구광역시 중구 남산동 2999-0006번지대구광역시 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>
67집단급식소식품판매업07_22_01_P34100003410000-122-2015-0000520151112<NA>1영업/정상1영업<NA><NA><NA><NA><NA>150.00700320대구광역시 중구 대신동 0115-0084번지 지상1층대구광역시 중구 큰장로 126, 지상1층 (대신동)41926아이누리 대구5호점20191104111521U2019-11-06 02:40:00.0집단급식소 식품판매업342558.972796264389.668329집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N1.0<NA><NA><NA>
78집단급식소식품판매업07_22_01_P34100003410000-122-2018-0000120180409<NA>1영업/정상1영업<NA><NA><NA><NA><NA>62.27700847대구광역시 중구 동인동4가 0540-0001번지 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_P34100003410000-122-2015-0000320150903<NA>1영업/정상1영업<NA><NA><NA><NA>053 768462024.00700845대구광역시 중구 동인동3가 0330-0004번지 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>
910집단급식소식품판매업07_22_01_P34100003410000-122-2015-0000120150512<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>700849대구광역시 중구 동인동4가 0470-0002번지 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>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
883884집단급식소식품판매업07_22_01_P34800003480000-122-2015-0000320150511<NA>1영업/정상1영업<NA><NA><NA><NA>070 8245717516.88711833대구광역시 달성군 화원읍 설화리 736-3번지대구광역시 달성군 화원읍 류목정길 56, 1층42957DMG푸드20200518120054U2020-05-20 02:40:00.0집단급식소 식품판매업334255.076962255771.102947집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
884885집단급식소식품판매업07_22_01_P34800003480000-122-2021-0000220210216<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>711858대구광역시 달성군 논공읍 상리 759 1층대구광역시 달성군 논공읍 비슬로264길 63, 1층42976대창푸드20210216093915I2021-02-18 00:23:22.0집단급식소 식품판매업327472.663129250976.544202집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
885886집단급식소식품판매업07_22_01_P34800003480000-122-2020-0000120200724<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>711815대구광역시 달성군 다사읍 죽곡리 856-1대구광역시 달성군 다사읍 대실역남로4길 4-1342917빅브라더20200724162953I2020-07-26 00:23:15.0집단급식소 식품판매업332469.124591262058.64543집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
886887집단급식소식품판매업07_22_01_P34800003480000-122-2018-0000420180827<NA>1영업/정상1영업<NA><NA><NA><NA><NA>111.10711856대구광역시 달성군 논공읍 노이리 756번지대구광역시 달성군 논공읍 노이길 365-1542975대성유통20180827141630I2018-08-31 23:59:59.0집단급식소 식품판매업331038.77933251617.180195집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
887888집단급식소식품판매업07_22_01_P34800003480000-122-2019-0000620191205<NA>1영업/정상1영업<NA><NA><NA><NA><NA>252.50711855대구광역시 달성군 논공읍 본리리 29-29번지대구광역시 달성군 논공읍 논공중앙로 36742982(주)에버그린엘20200305142052U2020-03-07 02:40:00.0집단급식소 식품판매업332872.854334249995.756178집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N23.5<NA><NA><NA>
888889집단급식소식품판매업07_22_01_P34800003480000-122-2019-0000820191227<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 유가읍 금리 1150-4번지 1층대구광역시 달성군 유가읍 테크노중앙대로1길 52, 1층43024뉴케어20191227114322I2019-12-29 00:23:26.0집단급식소 식품판매업331698.106866242810.190989집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
889890집단급식소식품판매업07_22_01_P34800003480000-122-2019-0000720191211<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>711821대구광역시 달성군 하빈면 현내리 831-36번지 1층대구광역시 달성군 하빈면 하빈로 373-4, 1층42902주식회사푸드포유20191211143310I2019-12-13 00:23:26.0집단급식소 식품판매업<NA><NA>집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
890891집단급식소식품판매업07_22_01_P34800003480000-122-2019-0000320190628<NA>1영업/정상1영업<NA><NA><NA><NA>053 313 3035<NA><NA>대구광역시 달성군 옥포읍 강림리 528-4번지대구광역시 달성군 옥포읍 시저로2길 16-142968농업회사법인 주식회사 백제20190628175330I2019-06-30 02:21:24.0집단급식소 식품판매업329271.879011254619.354156집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
891892집단급식소식품판매업07_22_01_P34800003480000-122-2019-0000220190628<NA>1영업/정상1영업<NA><NA><NA><NA>054 956 5131<NA><NA>대구광역시 달성군 옥포읍 강림리 528-4번지대구광역시 달성군 옥포읍 시저로2길 16-142968농업회사법인 주식회사 나눔농산20190628174934I2019-06-30 02:21:24.0집단급식소 식품판매업329271.879011254619.354156집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
892893집단급식소식품판매업07_22_01_P34800003480000-122-2008-0000620080827<NA>3폐업2폐업20100528<NA><NA><NA><NA>21.60711852대구광역시 달성군 논공읍 북리 824-35번지 외 1필지<NA><NA>동성식품20090907134318I2018-08-31 23:59:59.0집단급식소 식품판매업330706.421358248561.77396집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>