Overview

Dataset statistics

Number of variables47
Number of observations996
Missing cells10408
Missing cells (%)22.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory395.0 KiB
Average record size in memory406.1 B

Variable types

Numeric11
Categorical19
Text6
Unsupported9
DateTime1
Boolean1

Dataset

Description22년12월_6270000_대구광역시_07_22_01_P_집단급식소식품판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000097396&dataSetDetailId=DDI_0000097438&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
업태구분명 has constant value ""Constant
위생업태명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
급수시설구분명 is highly imbalanced (61.8%)Imbalance
본사직원수 is highly imbalanced (55.7%)Imbalance
공장사무직직원수 is highly imbalanced (59.1%)Imbalance
공장생산직직원수 is highly imbalanced (61.2%)Imbalance
인허가취소일자 has 996 (100.0%) missing valuesMissing
폐업일자 has 432 (43.4%) missing valuesMissing
휴업시작일자 has 996 (100.0%) missing valuesMissing
휴업종료일자 has 996 (100.0%) missing valuesMissing
재개업일자 has 996 (100.0%) missing valuesMissing
소재지전화 has 402 (40.4%) missing valuesMissing
소재지면적 has 44 (4.4%) missing valuesMissing
도로명전체주소 has 91 (9.1%) missing valuesMissing
도로명우편번호 has 95 (9.5%) missing valuesMissing
좌표정보(X) has 10 (1.0%) missing valuesMissing
좌표정보(Y) has 10 (1.0%) missing valuesMissing
영업장주변구분명 has 996 (100.0%) missing valuesMissing
등급구분명 has 996 (100.0%) missing valuesMissing
공장판매직직원수 has 351 (35.2%) missing valuesMissing
전통업소지정번호 has 996 (100.0%) missing valuesMissing
전통업소주된음식 has 996 (100.0%) missing valuesMissing
홈페이지 has 996 (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 621 (62.3%) zerosZeros
시설총규모 has 895 (89.9%) zerosZeros

Reproduction

Analysis started2024-04-20 17:34:52.463141
Analysis finished2024-04-20 17:34:53.969762
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct996
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean498.5
Minimum1
Maximum996
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-04-21T02:34:54.104459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.75
Q1249.75
median498.5
Q3747.25
95-th percentile946.25
Maximum996
Range995
Interquartile range (IQR)497.5

Descriptive statistics

Standard deviation287.66474
Coefficient of variation (CV)0.57706065
Kurtosis-1.2
Mean498.5
Median Absolute Deviation (MAD)249
Skewness0
Sum496506
Variance82751
MonotonicityStrictly increasing
2024-04-21T02:34:54.366655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
671 1
 
0.1%
658 1
 
0.1%
659 1
 
0.1%
660 1
 
0.1%
661 1
 
0.1%
662 1
 
0.1%
663 1
 
0.1%
664 1
 
0.1%
665 1
 
0.1%
Other values (986) 986
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 (%)
996 1
0.1%
995 1
0.1%
994 1
0.1%
993 1
0.1%
992 1
0.1%
991 1
0.1%
990 1
0.1%
989 1
0.1%
988 1
0.1%
987 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
집단급식소식품판매업
996 

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 996
100.0%

Length

2024-04-21T02:34:54.777115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:34:55.060122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소식품판매업 996
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
07_22_01_P
996 

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 996
100.0%

Length

2024-04-21T02:34:55.364138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:34:55.647616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_01_p 996
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3448704.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-04-21T02:34:55.908843image/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 deviation16221.743
Coefficient of variation (CV)0.0047037203
Kurtosis-0.027248411
Mean3448704.8
Median Absolute Deviation (MAD)0
Skewness-0.2287176
Sum3.43491 × 109
Variance2.6314494 × 108
MonotonicityIncreasing
2024-04-21T02:34:56.273214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3450000 524
52.6%
3420000 114
 
11.4%
3470000 99
 
9.9%
3430000 67
 
6.7%
3480000 66
 
6.6%
3460000 61
 
6.1%
3440000 50
 
5.0%
3410000 15
 
1.5%
ValueCountFrequency (%)
3410000 15
 
1.5%
3420000 114
 
11.4%
3430000 67
 
6.7%
3440000 50
 
5.0%
3450000 524
52.6%
3460000 61
 
6.1%
3470000 99
 
9.9%
3480000 66
 
6.6%
ValueCountFrequency (%)
3480000 66
 
6.6%
3470000 99
 
9.9%
3460000 61
 
6.1%
3450000 524
52.6%
3440000 50
 
5.0%
3430000 67
 
6.7%
3420000 114
 
11.4%
3410000 15
 
1.5%

관리번호
Text

UNIQUE 

Distinct996
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2024-04-21T02:34:56.996356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters21912
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

Unique996 ?
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%
3450000-122-2015-00017 1
 
0.1%
3450000-122-2012-00030 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%
3450000-122-2012-00006 1
 
0.1%
Other values (986) 986
99.0%
2024-04-21T02:34:57.845053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8912
40.7%
2 3654
16.7%
- 2988
 
13.6%
1 2075
 
9.5%
3 1298
 
5.9%
4 1232
 
5.6%
5 719
 
3.3%
8 384
 
1.8%
7 242
 
1.1%
6 228
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18924
86.4%
Dash Punctuation 2988
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8912
47.1%
2 3654
19.3%
1 2075
 
11.0%
3 1298
 
6.9%
4 1232
 
6.5%
5 719
 
3.8%
8 384
 
2.0%
7 242
 
1.3%
6 228
 
1.2%
9 180
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 2988
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21912
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8912
40.7%
2 3654
16.7%
- 2988
 
13.6%
1 2075
 
9.5%
3 1298
 
5.9%
4 1232
 
5.6%
5 719
 
3.3%
8 384
 
1.8%
7 242
 
1.1%
6 228
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21912
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8912
40.7%
2 3654
16.7%
- 2988
 
13.6%
1 2075
 
9.5%
3 1298
 
5.9%
4 1232
 
5.6%
5 719
 
3.3%
8 384
 
1.8%
7 242
 
1.1%
6 228
 
1.0%

인허가일자
Real number (ℝ)

Distinct741
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20142950
Minimum20080314
Maximum20221228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-04-21T02:34:58.153953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080314
5-th percentile20080704
Q120100612
median20141215
Q320180907
95-th percentile20220121
Maximum20221228
Range140914
Interquartile range (IQR)80295

Descriptive statistics

Standard deviation45977.009
Coefficient of variation (CV)0.002282536
Kurtosis-1.2654696
Mean20142950
Median Absolute Deviation (MAD)40389
Skewness0.09179115
Sum2.0062378 × 1010
Variance2.1138853 × 109
MonotonicityNot monotonic
2024-04-21T02:34:58.603940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080911 21
 
2.1%
20080909 8
 
0.8%
20080725 7
 
0.7%
20080828 6
 
0.6%
20080912 5
 
0.5%
20100707 5
 
0.5%
20110530 5
 
0.5%
20150120 4
 
0.4%
20211119 4
 
0.4%
20200721 4
 
0.4%
Other values (731) 927
93.1%
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 (%)
20221228 1
 
0.1%
20221223 1
 
0.1%
20221215 1
 
0.1%
20221209 2
0.2%
20221130 4
0.4%
20221124 1
 
0.1%
20221108 1
 
0.1%
20221024 1
 
0.1%
20221007 1
 
0.1%
20220926 1
 
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing996
Missing (%)100.0%
Memory size8.9 KiB
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
3
564 
1
432 

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 (%)
3 564
56.6%
1 432
43.4%

Length

2024-04-21T02:34:59.019293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:34:59.309430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 564
56.6%
1 432
43.4%

영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
폐업
564 
영업/정상
432 

Length

Max length5
Median length2
Mean length3.3012048
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 564
56.6%
영업/정상 432
43.4%

Length

2024-04-21T02:34:59.647818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:34:59.957241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 564
56.6%
영업/정상 432
43.4%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2
564 
1
432 

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 (%)
2 564
56.6%
1 432
43.4%

Length

2024-04-21T02:35:00.280886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:35:00.582233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 564
56.6%
1 432
43.4%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
폐업
564 
영업
432 

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 564
56.6%
영업 432
43.4%

Length

2024-04-21T02:35:00.904639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:35:01.206880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 564
56.6%
영업 432
43.4%

폐업일자
Real number (ℝ)

MISSING 

Distinct488
Distinct (%)86.5%
Missing432
Missing (%)43.4%
Infinite0
Infinite (%)0.0%
Mean20161892
Minimum20080414
Maximum20221230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-04-21T02:35:01.537100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080414
5-th percentile20100427
Q120130608
median20161213
Q320191019
95-th percentile20220792
Maximum20221230
Range140816
Interquartile range (IQR)60410.5

Descriptive statistics

Standard deviation37674.573
Coefficient of variation (CV)0.001868603
Kurtosis-0.96598436
Mean20161892
Median Absolute Deviation (MAD)30013.5
Skewness-0.1840598
Sum1.1371307 × 1010
Variance1.4193734 × 109
MonotonicityNot monotonic
2024-04-21T02:35:01.996776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161102 6
 
0.6%
20211228 5
 
0.5%
20160623 3
 
0.3%
20171229 3
 
0.3%
20211214 3
 
0.3%
20161230 3
 
0.3%
20190604 3
 
0.3%
20201231 3
 
0.3%
20210813 3
 
0.3%
20100728 3
 
0.3%
Other values (478) 529
53.1%
(Missing) 432
43.4%
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 (%)
20221230 2
0.2%
20221228 1
0.1%
20221226 2
0.2%
20221223 1
0.1%
20221222 1
0.1%
20221221 1
0.1%
20221219 1
0.1%
20221216 1
0.1%
20221215 1
0.1%
20221208 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing996
Missing (%)100.0%
Memory size8.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing996
Missing (%)100.0%
Memory size8.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing996
Missing (%)100.0%
Memory size8.9 KiB

소재지전화
Text

MISSING 

Distinct541
Distinct (%)91.1%
Missing402
Missing (%)40.4%
Memory size7.9 KiB
2024-04-21T02:35:03.189749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.774411
Min length8

Characters and Unicode

Total characters6994
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique497 ?
Unique (%)83.7%

Sample

1st row053 254 6221
2nd row053 768 4620
3rd row053 7684620
4th row0532556088
5th row053 2547772
ValueCountFrequency (%)
053 529
32.7%
311 24
 
1.5%
070 20
 
1.2%
312 17
 
1.1%
313 16
 
1.0%
314 11
 
0.7%
321 10
 
0.6%
323 9
 
0.6%
981 9
 
0.6%
326 8
 
0.5%
Other values (683) 965
59.6%
2024-04-21T02:35:04.820043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1071
15.3%
5 1063
15.2%
1026
14.7%
0 996
14.2%
1 515
7.4%
2 491
7.0%
6 437
6.2%
7 380
 
5.4%
8 367
 
5.2%
4 325
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5968
85.3%
Space Separator 1026
 
14.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1071
17.9%
5 1063
17.8%
0 996
16.7%
1 515
8.6%
2 491
8.2%
6 437
7.3%
7 380
 
6.4%
8 367
 
6.1%
4 325
 
5.4%
9 323
 
5.4%
Space Separator
ValueCountFrequency (%)
1026
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6994
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1071
15.3%
5 1063
15.2%
1026
14.7%
0 996
14.2%
1 515
7.4%
2 491
7.0%
6 437
6.2%
7 380
 
5.4%
8 367
 
5.2%
4 325
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6994
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1071
15.3%
5 1063
15.2%
1026
14.7%
0 996
14.2%
1 515
7.4%
2 491
7.0%
6 437
6.2%
7 380
 
5.4%
8 367
 
5.2%
4 325
 
4.6%

소재지면적
Text

MISSING 

Distinct642
Distinct (%)67.4%
Missing44
Missing (%)4.4%
Memory size7.9 KiB
2024-04-21T02:35:06.281382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.2342437
Min length3

Characters and Unicode

Total characters4983
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

Unique530 ?
Unique (%)55.7%

Sample

1st row50.00
2nd row100.00
3rd row33.64
4th row24.00
5th row62.27
ValueCountFrequency (%)
00 26
 
2.7%
66.00 20
 
2.1%
33.00 18
 
1.9%
60.00 15
 
1.6%
30.00 14
 
1.5%
20.00 12
 
1.3%
132.00 11
 
1.2%
10.00 10
 
1.1%
100.00 9
 
0.9%
40.00 9
 
0.9%
Other values (632) 808
84.9%
2024-04-21T02:35:08.017780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1266
25.4%
. 952
19.1%
1 433
 
8.7%
2 378
 
7.6%
6 338
 
6.8%
5 324
 
6.5%
3 318
 
6.4%
4 291
 
5.8%
9 254
 
5.1%
8 249
 
5.0%
Other values (2) 180
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4030
80.9%
Other Punctuation 953
 
19.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1266
31.4%
1 433
 
10.7%
2 378
 
9.4%
6 338
 
8.4%
5 324
 
8.0%
3 318
 
7.9%
4 291
 
7.2%
9 254
 
6.3%
8 249
 
6.2%
7 179
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 952
99.9%
, 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 4983
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1266
25.4%
. 952
19.1%
1 433
 
8.7%
2 378
 
7.6%
6 338
 
6.8%
5 324
 
6.5%
3 318
 
6.4%
4 291
 
5.8%
9 254
 
5.1%
8 249
 
5.0%
Other values (2) 180
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4983
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1266
25.4%
. 952
19.1%
1 433
 
8.7%
2 378
 
7.6%
6 338
 
6.8%
5 324
 
6.5%
3 318
 
6.4%
4 291
 
5.8%
9 254
 
5.1%
8 249
 
5.0%
Other values (2) 180
 
3.6%

소재지우편번호
Real number (ℝ)

Distinct286
Distinct (%)28.9%
Missing8
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean703785.88
Minimum700082
Maximum711892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-04-21T02:35:08.433685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700082
5-th percentile701814.7
Q1702320
median702863
Q3704807
95-th percentile711814
Maximum711892
Range11810
Interquartile range (IQR)2487

Descriptive statistics

Standard deviation2449.1505
Coefficient of variation (CV)0.0034799654
Kurtosis4.2972704
Mean703785.88
Median Absolute Deviation (MAD)563
Skewness2.1079362
Sum6.9534045 × 108
Variance5998338.3
MonotonicityNot monotonic
2024-04-21T02:35:08.870751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
702300 79
 
7.9%
702825 67
 
6.7%
702903 37
 
3.7%
702845 22
 
2.2%
702867 20
 
2.0%
702877 18
 
1.8%
702090 18
 
1.8%
702847 18
 
1.8%
702865 17
 
1.7%
702802 15
 
1.5%
Other values (276) 677
68.0%
ValueCountFrequency (%)
700082 1
 
0.1%
700111 1
 
0.1%
700261 1
 
0.1%
700320 1
 
0.1%
700801 1
 
0.1%
700808 1
 
0.1%
700824 1
 
0.1%
700837 1
 
0.1%
700841 1
 
0.1%
700845 3
0.3%
ValueCountFrequency (%)
711892 1
 
0.1%
711874 4
0.4%
711873 1
 
0.1%
711872 1
 
0.1%
711858 2
0.2%
711856 2
0.2%
711855 1
 
0.1%
711852 3
0.3%
711844 3
0.3%
711843 2
0.2%
Distinct760
Distinct (%)76.4%
Missing1
Missing (%)0.1%
Memory size7.9 KiB
2024-04-21T02:35:10.191984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length21.024121
Min length16

Characters and Unicode

Total characters20919
Distinct characters213
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique632 ?
Unique (%)63.5%

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 995
22.9%
북구 524
 
12.1%
동구 112
 
2.6%
달서구 99
 
2.3%
금호동 79
 
1.8%
매천동 77
 
1.8%
서구 67
 
1.5%
달성군 66
 
1.5%
태전동 66
 
1.5%
수성구 62
 
1.4%
Other values (964) 2197
50.6%
2024-04-21T02:35:11.920823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4331
20.7%
1953
 
9.3%
1105
 
5.3%
1040
 
5.0%
1008
 
4.8%
996
 
4.8%
996
 
4.8%
1 925
 
4.4%
- 732
 
3.5%
2 550
 
2.6%
Other values (203) 7283
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11112
53.1%
Decimal Number 4577
21.9%
Space Separator 4331
 
20.7%
Dash Punctuation 732
 
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 (%)
1953
17.6%
1105
 
9.9%
1040
 
9.4%
1008
 
9.1%
996
 
9.0%
996
 
9.0%
528
 
4.8%
227
 
2.0%
190
 
1.7%
165
 
1.5%
Other values (178) 2904
26.1%
Decimal Number
ValueCountFrequency (%)
1 925
20.2%
2 550
12.0%
0 540
11.8%
3 460
10.1%
4 423
9.2%
8 369
 
8.1%
5 361
 
7.9%
7 360
 
7.9%
6 315
 
6.9%
9 274
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 9
39.1%
A 9
39.1%
C 3
 
13.0%
M 1
 
4.3%
D 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 23
88.5%
. 1
 
3.8%
/ 1
 
3.8%
: 1
 
3.8%
Math Symbol
ValueCountFrequency (%)
+ 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
4331
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 732
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11112
53.1%
Common 9784
46.8%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1953
17.6%
1105
 
9.9%
1040
 
9.4%
1008
 
9.1%
996
 
9.0%
996
 
9.0%
528
 
4.8%
227
 
2.0%
190
 
1.7%
165
 
1.5%
Other values (178) 2904
26.1%
Common
ValueCountFrequency (%)
4331
44.3%
1 925
 
9.5%
- 732
 
7.5%
2 550
 
5.6%
0 540
 
5.5%
3 460
 
4.7%
4 423
 
4.3%
8 369
 
3.8%
5 361
 
3.7%
7 360
 
3.7%
Other values (10) 733
 
7.5%
Latin
ValueCountFrequency (%)
B 9
39.1%
A 9
39.1%
C 3
 
13.0%
M 1
 
4.3%
D 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11112
53.1%
ASCII 9807
46.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4331
44.2%
1 925
 
9.4%
- 732
 
7.5%
2 550
 
5.6%
0 540
 
5.5%
3 460
 
4.7%
4 423
 
4.3%
8 369
 
3.8%
5 361
 
3.7%
7 360
 
3.7%
Other values (15) 756
 
7.7%
Hangul
ValueCountFrequency (%)
1953
17.6%
1105
 
9.9%
1040
 
9.4%
1008
 
9.1%
996
 
9.0%
996
 
9.0%
528
 
4.8%
227
 
2.0%
190
 
1.7%
165
 
1.5%
Other values (178) 2904
26.1%

도로명전체주소
Text

MISSING 

Distinct773
Distinct (%)85.4%
Missing91
Missing (%)9.1%
Memory size7.9 KiB
2024-04-21T02:35:13.027589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length28.543646
Min length20

Characters and Unicode

Total characters25832
Distinct characters250
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique683 ?
Unique (%)75.5%

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 905
 
17.1%
북구 495
 
9.4%
1층 379
 
7.2%
동구 96
 
1.8%
달서구 90
 
1.7%
금호동 75
 
1.4%
매천동 59
 
1.1%
태전동 59
 
1.1%
서구 58
 
1.1%
팔달동 57
 
1.1%
Other values (1081) 3012
57.0%
2024-04-21T02:35:14.579643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4380
 
17.0%
1835
 
7.1%
1 1376
 
5.3%
1128
 
4.4%
1069
 
4.1%
928
 
3.6%
911
 
3.5%
906
 
3.5%
( 882
 
3.4%
) 882
 
3.4%
Other values (240) 11535
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14398
55.7%
Space Separator 4380
 
17.0%
Decimal Number 4255
 
16.5%
Open Punctuation 882
 
3.4%
Close Punctuation 882
 
3.4%
Other Punctuation 691
 
2.7%
Dash Punctuation 302
 
1.2%
Uppercase Letter 38
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1835
 
12.7%
1128
 
7.8%
1069
 
7.4%
928
 
6.4%
911
 
6.3%
906
 
6.3%
785
 
5.5%
671
 
4.7%
542
 
3.8%
518
 
3.6%
Other values (217) 5105
35.5%
Decimal Number
ValueCountFrequency (%)
1 1376
32.3%
2 593
13.9%
3 481
 
11.3%
5 308
 
7.2%
4 287
 
6.7%
0 264
 
6.2%
6 250
 
5.9%
8 247
 
5.8%
7 239
 
5.6%
9 210
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 21
55.3%
B 13
34.2%
C 3
 
7.9%
M 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 688
99.6%
. 2
 
0.3%
/ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
+ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
4380
100.0%
Open Punctuation
ValueCountFrequency (%)
( 882
100.0%
Close Punctuation
ValueCountFrequency (%)
) 882
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 302
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14398
55.7%
Common 11396
44.1%
Latin 38
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1835
 
12.7%
1128
 
7.8%
1069
 
7.4%
928
 
6.4%
911
 
6.3%
906
 
6.3%
785
 
5.5%
671
 
4.7%
542
 
3.8%
518
 
3.6%
Other values (217) 5105
35.5%
Common
ValueCountFrequency (%)
4380
38.4%
1 1376
 
12.1%
( 882
 
7.7%
) 882
 
7.7%
, 688
 
6.0%
2 593
 
5.2%
3 481
 
4.2%
5 308
 
2.7%
- 302
 
2.7%
4 287
 
2.5%
Other values (9) 1217
 
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 14398
55.7%
ASCII 11434
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4380
38.3%
1 1376
 
12.0%
( 882
 
7.7%
) 882
 
7.7%
, 688
 
6.0%
2 593
 
5.2%
3 481
 
4.2%
5 308
 
2.7%
- 302
 
2.6%
4 287
 
2.5%
Other values (13) 1255
 
11.0%
Hangul
ValueCountFrequency (%)
1835
 
12.7%
1128
 
7.8%
1069
 
7.4%
928
 
6.4%
911
 
6.3%
906
 
6.3%
785
 
5.5%
671
 
4.7%
542
 
3.8%
518
 
3.6%
Other values (217) 5105
35.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct351
Distinct (%)39.0%
Missing95
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean41778.674
Minimum41002
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-04-21T02:35:14.991541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41129
Q141459
median41499
Q342161
95-th percentile42917
Maximum43024
Range2022
Interquartile range (IQR)702

Descriptive statistics

Standard deviation544.46923
Coefficient of variation (CV)0.013032229
Kurtosis-0.34947146
Mean41778.674
Median Absolute Deviation (MAD)99
Skewness0.98750737
Sum37642585
Variance296446.75
MonotonicityNot monotonic
2024-04-21T02:35:15.447876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41598 57
 
5.7%
41485 48
 
4.8%
41490 47
 
4.7%
41482 22
 
2.2%
41491 19
 
1.9%
41459 17
 
1.7%
41504 16
 
1.6%
41557 14
 
1.4%
41401 11
 
1.1%
41418 11
 
1.1%
Other values (341) 639
64.2%
(Missing) 95
 
9.5%
ValueCountFrequency (%)
41002 3
0.3%
41007 1
 
0.1%
41009 1
 
0.1%
41020 1
 
0.1%
41034 1
 
0.1%
41037 1
 
0.1%
41041 2
0.2%
41051 1
 
0.1%
41055 2
0.2%
41056 2
0.2%
ValueCountFrequency (%)
43024 1
 
0.1%
43018 1
 
0.1%
43011 1
 
0.1%
43005 1
 
0.1%
43003 5
0.5%
43000 1
 
0.1%
42998 1
 
0.1%
42993 1
 
0.1%
42985 1
 
0.1%
42982 1
 
0.1%
Distinct895
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2024-04-21T02:35:16.458515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length6.1305221
Min length1

Characters and Unicode

Total characters6106
Distinct characters408
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique817 ?
Unique (%)82.0%

Sample

1st row고소미소
2nd row진솔
3rd row자연식품
4th row메디푸드
5th row(주)우리농산
ValueCountFrequency (%)
주식회사 45
 
4.1%
농업회사법인 7
 
0.6%
월배농협 5
 
0.5%
성림상사 4
 
0.4%
유통 4
 
0.4%
대성식품 4
 
0.4%
4
 
0.4%
고소미소 3
 
0.3%
수성키즈 3
 
0.3%
제이푸드 3
 
0.3%
Other values (910) 1004
92.4%
2024-04-21T02:35:17.681813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
301
 
4.9%
294
 
4.8%
259
 
4.2%
206
 
3.4%
) 196
 
3.2%
( 190
 
3.1%
153
 
2.5%
141
 
2.3%
135
 
2.2%
135
 
2.2%
Other values (398) 4096
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5526
90.5%
Close Punctuation 196
 
3.2%
Open Punctuation 190
 
3.1%
Space Separator 90
 
1.5%
Uppercase Letter 54
 
0.9%
Lowercase Letter 22
 
0.4%
Decimal Number 16
 
0.3%
Other Punctuation 10
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
301
 
5.4%
294
 
5.3%
259
 
4.7%
206
 
3.7%
153
 
2.8%
141
 
2.6%
135
 
2.4%
135
 
2.4%
129
 
2.3%
124
 
2.2%
Other values (355) 3649
66.0%
Uppercase Letter
ValueCountFrequency (%)
S 9
16.7%
F 9
16.7%
H 5
9.3%
G 4
 
7.4%
D 4
 
7.4%
T 3
 
5.6%
M 3
 
5.6%
J 3
 
5.6%
B 2
 
3.7%
Y 2
 
3.7%
Other values (8) 10
18.5%
Lowercase Letter
ValueCountFrequency (%)
o 4
18.2%
f 4
18.2%
e 3
13.6%
d 2
9.1%
a 2
9.1%
c 2
9.1%
s 1
 
4.5%
l 1
 
4.5%
t 1
 
4.5%
h 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
5 6
37.5%
2 2
 
12.5%
0 2
 
12.5%
6 2
 
12.5%
1 1
 
6.2%
8 1
 
6.2%
3 1
 
6.2%
4 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
& 6
60.0%
. 4
40.0%
Close Punctuation
ValueCountFrequency (%)
) 196
100.0%
Open Punctuation
ValueCountFrequency (%)
( 190
100.0%
Space Separator
ValueCountFrequency (%)
90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5526
90.5%
Common 504
 
8.3%
Latin 76
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
301
 
5.4%
294
 
5.3%
259
 
4.7%
206
 
3.7%
153
 
2.8%
141
 
2.6%
135
 
2.4%
135
 
2.4%
129
 
2.3%
124
 
2.2%
Other values (355) 3649
66.0%
Latin
ValueCountFrequency (%)
S 9
 
11.8%
F 9
 
11.8%
H 5
 
6.6%
G 4
 
5.3%
o 4
 
5.3%
f 4
 
5.3%
D 4
 
5.3%
T 3
 
3.9%
M 3
 
3.9%
J 3
 
3.9%
Other values (19) 28
36.8%
Common
ValueCountFrequency (%)
) 196
38.9%
( 190
37.7%
90
17.9%
& 6
 
1.2%
5 6
 
1.2%
. 4
 
0.8%
2 2
 
0.4%
0 2
 
0.4%
6 2
 
0.4%
- 2
 
0.4%
Other values (4) 4
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5526
90.5%
ASCII 580
 
9.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
301
 
5.4%
294
 
5.3%
259
 
4.7%
206
 
3.7%
153
 
2.8%
141
 
2.6%
135
 
2.4%
135
 
2.4%
129
 
2.3%
124
 
2.2%
Other values (355) 3649
66.0%
ASCII
ValueCountFrequency (%)
) 196
33.8%
( 190
32.8%
90
15.5%
S 9
 
1.6%
F 9
 
1.6%
& 6
 
1.0%
5 6
 
1.0%
H 5
 
0.9%
G 4
 
0.7%
o 4
 
0.7%
Other values (33) 61
 
10.5%

최종수정시점
Real number (ℝ)

Distinct994
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0169604 × 1013
Minimum2.0080402 × 1013
Maximum2.022123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-04-21T02:35:18.082329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0080402 × 1013
5-th percentile2.0080987 × 1013
Q12.0140115 × 1013
median2.018053 × 1013
Q32.0210209 × 1013
95-th percentile2.0221022 × 1013
Maximum2.022123 × 1013
Range1.40828 × 1011
Interquartile range (IQR)7.0094507 × 1010

Descriptive statistics

Standard deviation4.3553006 × 1010
Coefficient of variation (CV)0.0021593386
Kurtosis-0.82925971
Mean2.0169604 × 1013
Median Absolute Deviation (MAD)3.0383491 × 1010
Skewness-0.6147186
Sum2.0088926 × 1016
Variance1.8968643 × 1021
MonotonicityNot monotonic
2024-04-21T02:35:18.543149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140123160035 3
 
0.3%
20220428144423 1
 
0.1%
20180222115443 1
 
0.1%
20170510135129 1
 
0.1%
20120118144251 1
 
0.1%
20220817110340 1
 
0.1%
20180226144743 1
 
0.1%
20211208154422 1
 
0.1%
20160510103355 1
 
0.1%
20130705130907 1
 
0.1%
Other values (984) 984
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 (%)
20221230173324 1
0.1%
20221230173146 1
0.1%
20221229131624 1
0.1%
20221228161128 1
0.1%
20221228143418 1
0.1%
20221228092629 1
0.1%
20221226161705 1
0.1%
20221226112242 1
0.1%
20221226095729 1
0.1%
20221226095554 1
0.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
I
589 
U
407 

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 589
59.1%
U 407
40.9%

Length

2024-04-21T02:35:18.966440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:35:19.257579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 589
59.1%
u 407
40.9%
Distinct371
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-01-01 02:40:00
2024-04-21T02:35:19.565584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T02:35:19.978234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
집단급식소 식품판매업
996 

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 996
100.0%

Length

2024-04-21T02:35:20.380656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:35:20.663740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 996
50.0%
식품판매업 996
50.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct697
Distinct (%)70.7%
Missing10
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean341277.08
Minimum327471.74
Maximum358028.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-04-21T02:35:20.966648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327471.74
5-th percentile334777.03
Q1338814.51
median339983.72
Q3344102.69
95-th percentile352486.51
Maximum358028.91
Range30557.164
Interquartile range (IQR)5288.1847

Descriptive statistics

Standard deviation5003.0058
Coefficient of variation (CV)0.014659659
Kurtosis1.0605141
Mean341277.08
Median Absolute Deviation (MAD)2086.191
Skewness0.7124562
Sum3.364992 × 108
Variance25030067
MonotonicityNot monotonic
2024-04-21T02:35:21.391702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345327.736682658 16
 
1.6%
339388.690363782 14
 
1.4%
339243.983122111 10
 
1.0%
340226.615391161 10
 
1.0%
338985.366313904 10
 
1.0%
340582.375042356 9
 
0.9%
337154.796354516 9
 
0.9%
336942.357146811 7
 
0.7%
340219.667217027 5
 
0.5%
339954.758195265 5
 
0.5%
Other values (687) 891
89.5%
(Missing) 10
 
1.0%
ValueCountFrequency (%)
327471.744219179 2
0.2%
327605.063942283 1
 
0.1%
327735.044523737 3
0.3%
329270.202814037 1
 
0.1%
329958.846408332 1
 
0.1%
329978.893140366 1
 
0.1%
330037.525759831 1
 
0.1%
330099.30311437 1
 
0.1%
330260.716912255 1
 
0.1%
330324.023854326 1
 
0.1%
ValueCountFrequency (%)
358028.908240955 1
0.1%
356477.205726152 1
0.1%
356390.881046037 2
0.2%
356300.247422101 1
0.1%
356292.703687545 1
0.1%
356230.323996406 2
0.2%
355918.922116749 1
0.1%
355757.72294257 1
0.1%
355664.21092123 1
0.1%
354807.185179651 2
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct697
Distinct (%)70.7%
Missing10
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean265917.81
Minimum238824.51
Maximum275582
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-04-21T02:35:21.754993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum238824.51
5-th percentile257882.9
Q1263325.61
median267037.85
Q3268688.07
95-th percentile273124.52
Maximum275582
Range36757.498
Interquartile range (IQR)5362.46

Descriptive statistics

Standard deviation4987.9687
Coefficient of variation (CV)0.018757558
Kurtosis3.9508171
Mean265917.81
Median Absolute Deviation (MAD)2526.0141
Skewness-1.348519
Sum2.6219496 × 108
Variance24879831
MonotonicityNot monotonic
2024-04-21T02:35:22.055891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268763.26426025 16
 
1.6%
269664.126148502 14
 
1.4%
268026.454530584 10
 
1.0%
267982.433067092 10
 
1.0%
267354.446311924 10
 
1.0%
274811.331596085 9
 
0.9%
267164.644869533 9
 
0.9%
267202.145514996 7
 
0.7%
273735.131408993 5
 
0.5%
273523.341721362 5
 
0.5%
Other values (687) 891
89.5%
(Missing) 10
 
1.0%
ValueCountFrequency (%)
238824.505920574 1
0.1%
242505.658386261 1
0.1%
244660.404545869 1
0.1%
244666.64274742 1
0.1%
244743.873468195 1
0.1%
244744.379191204 1
0.1%
244757.142677467 1
0.1%
244837.601197559 1
0.1%
244839.424611328 1
0.1%
245000.680792058 1
0.1%
ValueCountFrequency (%)
275582.004217763 1
 
0.1%
274811.331596085 9
0.9%
274594.894588392 1
 
0.1%
274508.218106082 1
 
0.1%
273969.297395079 1
 
0.1%
273735.131408993 5
0.5%
273679.002021391 1
 
0.1%
273676.8169553 4
0.4%
273655.73567589 2
 
0.2%
273554.526036001 1
 
0.1%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
집단급식소 식품판매업
996 

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 996
100.0%

Length

2024-04-21T02:35:22.294163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:35:22.445207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 996
50.0%
식품판매업 996
50.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
807 
0
189 

Length

Max length4
Median length4
Mean length3.4307229
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> 807
81.0%
0 189
 
19.0%

Length

2024-04-21T02:35:22.615231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:35:22.779919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 807
81.0%
0 189
 
19.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
807 
0
189 

Length

Max length4
Median length4
Mean length3.4307229
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> 807
81.0%
0 189
 
19.0%

Length

2024-04-21T02:35:22.953024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:35:23.123023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 807
81.0%
0 189
 
19.0%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing996
Missing (%)100.0%
Memory size8.9 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing996
Missing (%)100.0%
Memory size8.9 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
785 
상수도전용
209 
간이상수도
 
1
지하수전용
 
1

Length

Max length5
Median length4
Mean length4.2118474
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> 785
78.8%
상수도전용 209
 
21.0%
간이상수도 1
 
0.1%
지하수전용 1
 
0.1%

Length

2024-04-21T02:35:23.298105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:35:23.469110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 785
78.8%
상수도전용 209
 
21.0%
간이상수도 1
 
0.1%
지하수전용 1
 
0.1%

총직원수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
807 
0
189 

Length

Max length4
Median length4
Mean length3.4307229
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> 807
81.0%
0 189
 
19.0%

Length

2024-04-21T02:35:23.657553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:35:23.825438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 807
81.0%
0 189
 
19.0%

본사직원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
635 
<NA>
350 
2
 
8
1
 
2
4
 
1

Length

Max length4
Median length1
Mean length2.0542169
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 635
63.8%
<NA> 350
35.1%
2 8
 
0.8%
1 2
 
0.2%
4 1
 
0.1%

Length

2024-04-21T02:35:24.003478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:35:24.193979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 635
63.8%
na 350
35.1%
2 8
 
0.8%
1 2
 
0.2%
4 1
 
0.1%

공장사무직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
630 
<NA>
352 
1
 
7
3
 
5
5
 
1

Length

Max length4
Median length1
Mean length2.060241
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 630
63.3%
<NA> 352
35.3%
1 7
 
0.7%
3 5
 
0.5%
5 1
 
0.1%
2 1
 
0.1%

Length

2024-04-21T02:35:24.405909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:35:24.707431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 630
63.3%
na 352
35.3%
1 7
 
0.7%
3 5
 
0.5%
5 1
 
0.1%
2 1
 
0.1%

공장판매직직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)1.2%
Missing351
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean0.11007752
Minimum0
Maximum15
Zeros621
Zeros (%)62.3%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-04-21T02:35:25.022103image/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 deviation0.80486149
Coefficient of variation (CV)7.3117698
Kurtosis195.24919
Mean0.11007752
Median Absolute Deviation (MAD)0
Skewness12.30937
Sum71
Variance0.64780201
MonotonicityNot monotonic
2024-04-21T02:35:25.374894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 621
62.3%
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) 351
35.2%
ValueCountFrequency (%)
0 621
62.3%
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%
0 621
62.3%

공장생산직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
0
638 
<NA>
351 
1
 
4
4
 
1
5
 
1

Length

Max length4
Median length1
Mean length2.0582329
Min length1

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 638
64.1%
<NA> 351
35.2%
1 4
 
0.4%
4 1
 
0.1%
5 1
 
0.1%
24 1
 
0.1%

Length

2024-04-21T02:35:25.790129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:35:26.125827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 638
64.1%
na 351
35.2%
1 4
 
0.4%
4 1
 
0.1%
5 1
 
0.1%
24 1
 
0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
801 
자가
125 
임대
 
70

Length

Max length4
Median length4
Mean length3.6084337
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> 801
80.4%
자가 125
 
12.6%
임대 70
 
7.0%

Length

2024-04-21T02:35:26.514397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:35:26.844039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 801
80.4%
자가 125
 
12.6%
임대 70
 
7.0%

보증액
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
807 
0
189 

Length

Max length4
Median length4
Mean length3.4307229
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> 807
81.0%
0 189
 
19.0%

Length

2024-04-21T02:35:27.183670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:35:27.446318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 807
81.0%
0 189
 
19.0%

월세액
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
807 
0
189 

Length

Max length4
Median length4
Mean length3.4307229
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> 807
81.0%
0 189
 
19.0%

Length

2024-04-21T02:35:27.622270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:35:27.794494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 807
81.0%
0 189
 
19.0%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
False
996 
ValueCountFrequency (%)
False 996
100.0%
2024-04-21T02:35:28.041584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2654618
Minimum0
Maximum250.35
Zeros895
Zeros (%)89.9%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2024-04-21T02:35:28.375618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17.29
Maximum250.35
Range250.35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.127986
Coefficient of variation (CV)5.2451955
Kurtosis102.69272
Mean3.2654618
Median Absolute Deviation (MAD)0
Skewness9.0852151
Sum3252.4
Variance293.36789
MonotonicityNot monotonic
2024-04-21T02:35:28.804786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 895
89.9%
4.0 5
 
0.5%
6.0 4
 
0.4%
3.0 3
 
0.3%
12.6 2
 
0.2%
6.25 2
 
0.2%
3.3 2
 
0.2%
32.0 2
 
0.2%
30.0 2
 
0.2%
8.12 2
 
0.2%
Other values (77) 77
 
7.7%
ValueCountFrequency (%)
0.0 895
89.9%
1.0 1
 
0.1%
2.2 1
 
0.1%
2.8 1
 
0.1%
2.88 1
 
0.1%
3.0 3
 
0.3%
3.28 1
 
0.1%
3.3 2
 
0.2%
3.62 1
 
0.1%
3.63 1
 
0.1%
ValueCountFrequency (%)
250.35 1
0.1%
233.0 1
0.1%
189.84 1
0.1%
157.86 1
0.1%
129.74 1
0.1%
112.06 1
0.1%
101.72 1
0.1%
80.0 1
0.1%
72.6 1
0.1%
70.0 1
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing996
Missing (%)100.0%
Memory size8.9 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing996
Missing (%)100.0%
Memory size8.9 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing996
Missing (%)100.0%
Memory size8.9 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
986987집단급식소식품판매업07_22_01_P34800003480000-122-2014-0000120140113<NA>3폐업2폐업20161202<NA><NA><NA>070 41229995261.00711821대구광역시 달성군 하빈면 동곡리 627대구광역시 달성군 하빈면 하빈남로 171-1, 1층42904주식회사 광림유통20160624152518I2018-08-31 23:59:59.0집단급식소 식품판매업327735.044524263479.562399집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N20.0<NA><NA><NA>
987988집단급식소식품판매업07_22_01_P34800003480000-122-2008-0000720080904<NA>3폐업2폐업20110527<NA><NA><NA>053 614 227332.25711873대구광역시 달성군 현풍읍 중리 108-2<NA><NA>자모상회20080924143201I2018-08-31 23:59:59.0집단급식소 식품판매업331099.542032245003.977657집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
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