Overview

Dataset statistics

Number of variables47
Number of observations664
Missing cells6291
Missing cells (%)20.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory261.4 KiB
Average record size in memory403.2 B

Variable types

Numeric9
Categorical19
Text6
DateTime4
Unsupported8
Boolean1

Dataset

Description24년03월_6270000_대구광역시_07_22_13_P_식품판매업(기타)
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106619&dataSetDetailId=DDI_0000106657&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
본사직원수 is highly imbalanced (65.2%)Imbalance
공장생산직직원수 is highly imbalanced (71.8%)Imbalance
보증액 is highly imbalanced (52.7%)Imbalance
월세액 is highly imbalanced (52.7%)Imbalance
홈페이지 is highly imbalanced (98.4%)Imbalance
인허가취소일자 has 664 (100.0%) missing valuesMissing
폐업일자 has 325 (48.9%) missing valuesMissing
휴업시작일자 has 664 (100.0%) missing valuesMissing
휴업종료일자 has 664 (100.0%) missing valuesMissing
재개업일자 has 664 (100.0%) missing valuesMissing
소재지전화 has 102 (15.4%) missing valuesMissing
소재지면적 has 28 (4.2%) missing valuesMissing
소재지우편번호 has 23 (3.5%) missing valuesMissing
도로명전체주소 has 120 (18.1%) missing valuesMissing
도로명우편번호 has 125 (18.8%) missing valuesMissing
좌표정보(X) has 13 (2.0%) missing valuesMissing
좌표정보(Y) has 13 (2.0%) missing valuesMissing
영업장주변구분명 has 664 (100.0%) missing valuesMissing
등급구분명 has 664 (100.0%) missing valuesMissing
공장사무직직원수 has 115 (17.3%) missing valuesMissing
공장판매직직원수 has 115 (17.3%) missing valuesMissing
전통업소지정번호 has 664 (100.0%) missing valuesMissing
전통업소주된음식 has 664 (100.0%) missing valuesMissing
공장사무직직원수 is highly skewed (γ1 = 22.59800545)Skewed
시설총규모 is highly skewed (γ1 = 21.9363783)Skewed
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
소재지면적 has 17 (2.6%) zerosZeros
공장사무직직원수 has 519 (78.2%) zerosZeros
공장판매직직원수 has 507 (76.4%) zerosZeros
시설총규모 has 588 (88.6%) zerosZeros

Reproduction

Analysis started2024-04-29 12:29:10.439309
Analysis finished2024-04-29 12:29:11.833214
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct664
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean332.5
Minimum1
Maximum664
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-29T21:29:11.940568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34.15
Q1166.75
median332.5
Q3498.25
95-th percentile630.85
Maximum664
Range663
Interquartile range (IQR)331.5

Descriptive statistics

Standard deviation191.82457
Coefficient of variation (CV)0.57691601
Kurtosis-1.2
Mean332.5
Median Absolute Deviation (MAD)166
Skewness0
Sum220780
Variance36796.667
MonotonicityStrictly increasing
2024-04-29T21:29:12.271120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
438 1
 
0.2%
440 1
 
0.2%
441 1
 
0.2%
442 1
 
0.2%
443 1
 
0.2%
444 1
 
0.2%
445 1
 
0.2%
446 1
 
0.2%
447 1
 
0.2%
Other values (654) 654
98.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
664 1
0.2%
663 1
0.2%
662 1
0.2%
661 1
0.2%
660 1
0.2%
659 1
0.2%
658 1
0.2%
657 1
0.2%
656 1
0.2%
655 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
식품판매업(기타)
664 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식품판매업(기타)
2nd row식품판매업(기타)
3rd row식품판매업(기타)
4th row식품판매업(기타)
5th row식품판매업(기타)

Common Values

ValueCountFrequency (%)
식품판매업(기타) 664
100.0%

Length

2024-04-29T21:29:12.403230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:12.495947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품판매업(기타 664
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
07_22_13_P
664 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_13_P
2nd row07_22_13_P
3rd row07_22_13_P
4th row07_22_13_P
5th row07_22_13_P

Common Values

ValueCountFrequency (%)
07_22_13_P 664
100.0%

Length

2024-04-29T21:29:12.591103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:12.680907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_13_p 664
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3470613
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-29T21:29:12.766240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13440000
median3460000
Q33470000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation173828.06
Coefficient of variation (CV)0.050085695
Kurtosis87.833788
Mean3470613
Median Absolute Deviation (MAD)10000
Skewness9.3904367
Sum2.304487 × 109
Variance3.0216195 × 1010
MonotonicityIncreasing
2024-04-29T21:29:12.874520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 159
23.9%
3450000 109
16.4%
3420000 105
15.8%
3460000 104
15.7%
3480000 89
13.4%
3430000 38
 
5.7%
3440000 33
 
5.0%
3410000 20
 
3.0%
5141000 7
 
1.1%
ValueCountFrequency (%)
3410000 20
 
3.0%
3420000 105
15.8%
3430000 38
 
5.7%
3440000 33
 
5.0%
3450000 109
16.4%
3460000 104
15.7%
3470000 159
23.9%
3480000 89
13.4%
5141000 7
 
1.1%
ValueCountFrequency (%)
5141000 7
 
1.1%
3480000 89
13.4%
3470000 159
23.9%
3460000 104
15.7%
3450000 109
16.4%
3440000 33
 
5.0%
3430000 38
 
5.7%
3420000 105
15.8%
3410000 20
 
3.0%

관리번호
Text

UNIQUE 

Distinct664
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-04-29T21:29:13.049887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters14608
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

Unique664 ?
Unique (%)100.0%

Sample

1st row3410000-114-2022-00003
2nd row3410000-114-2020-00001
3rd row3410000-114-2022-00001
4th row3410000-114-2023-00001
5th row3410000-114-1990-00002
ValueCountFrequency (%)
3410000-114-2022-00003 1
 
0.2%
3470000-114-2012-00006 1
 
0.2%
3470000-114-2013-00002 1
 
0.2%
3470000-114-2013-00006 1
 
0.2%
3470000-114-2014-00001 1
 
0.2%
3470000-114-2016-00001 1
 
0.2%
3470000-114-2002-00002 1
 
0.2%
3470000-114-1998-00003 1
 
0.2%
3470000-114-2000-00001 1
 
0.2%
3470000-114-2000-00002 1
 
0.2%
Other values (654) 654
98.5%
2024-04-29T21:29:13.360451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6210
42.5%
1 2017
 
13.8%
- 1992
 
13.6%
4 1490
 
10.2%
2 1013
 
6.9%
3 850
 
5.8%
7 240
 
1.6%
5 239
 
1.6%
6 207
 
1.4%
9 181
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12616
86.4%
Dash Punctuation 1992
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6210
49.2%
1 2017
 
16.0%
4 1490
 
11.8%
2 1013
 
8.0%
3 850
 
6.7%
7 240
 
1.9%
5 239
 
1.9%
6 207
 
1.6%
9 181
 
1.4%
8 169
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 1992
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14608
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6210
42.5%
1 2017
 
13.8%
- 1992
 
13.6%
4 1490
 
10.2%
2 1013
 
6.9%
3 850
 
5.8%
7 240
 
1.6%
5 239
 
1.6%
6 207
 
1.4%
9 181
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14608
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6210
42.5%
1 2017
 
13.8%
- 1992
 
13.6%
4 1490
 
10.2%
2 1013
 
6.9%
3 850
 
5.8%
7 240
 
1.6%
5 239
 
1.6%
6 207
 
1.4%
9 181
 
1.2%

인허가일자
Date

Distinct625
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum1990-05-12 00:00:00
Maximum2024-03-18 00:00:00
2024-04-29T21:29:13.495649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:29:13.648371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing664
Missing (%)100.0%
Memory size6.0 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
3
339 
1
325 

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 (%)
3 339
51.1%
1 325
48.9%

Length

2024-04-29T21:29:13.780266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:13.876439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 339
51.1%
1 325
48.9%

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
폐업
339 
영업/정상
325 

Length

Max length5
Median length2
Mean length3.4683735
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 339
51.1%
영업/정상 325
48.9%

Length

2024-04-29T21:29:13.986375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:14.078723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 339
51.1%
영업/정상 325
48.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2
339 
1
325 

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 (%)
2 339
51.1%
1 325
48.9%

Length

2024-04-29T21:29:14.180045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:14.266685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 339
51.1%
1 325
48.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
폐업
339 
영업
325 

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 339
51.1%
영업 325
48.9%

Length

2024-04-29T21:29:14.359713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:14.445738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 339
51.1%
영업 325
48.9%

폐업일자
Date

MISSING 

Distinct317
Distinct (%)93.5%
Missing325
Missing (%)48.9%
Memory size5.3 KiB
Minimum2001-02-13 00:00:00
Maximum2024-03-20 00:00:00
2024-04-29T21:29:14.545326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:29:14.670150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing664
Missing (%)100.0%
Memory size6.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing664
Missing (%)100.0%
Memory size6.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing664
Missing (%)100.0%
Memory size6.0 KiB

소재지전화
Text

MISSING 

Distinct530
Distinct (%)94.3%
Missing102
Missing (%)15.4%
Memory size5.3 KiB
2024-04-29T21:29:14.913902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.11032
Min length7

Characters and Unicode

Total characters6244
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

Unique502 ?
Unique (%)89.3%

Sample

1st row053 4272228
2nd row053 2522111
3rd row053 4261234
4th row053 252 5601
5th row053 253 3800
ValueCountFrequency (%)
053 460
35.1%
986 10
 
0.8%
5601 8
 
0.6%
054 7
 
0.5%
791 6
 
0.5%
381 5
 
0.4%
961 5
 
0.4%
965 5
 
0.4%
784 5
 
0.4%
963 5
 
0.4%
Other values (636) 794
60.6%
2024-04-29T21:29:15.281010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1019
16.3%
5 982
15.7%
3 864
13.8%
754
12.1%
6 495
7.9%
2 403
 
6.5%
1 391
 
6.3%
9 373
 
6.0%
7 350
 
5.6%
8 339
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5490
87.9%
Space Separator 754
 
12.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1019
18.6%
5 982
17.9%
3 864
15.7%
6 495
9.0%
2 403
 
7.3%
1 391
 
7.1%
9 373
 
6.8%
7 350
 
6.4%
8 339
 
6.2%
4 274
 
5.0%
Space Separator
ValueCountFrequency (%)
754
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6244
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1019
16.3%
5 982
15.7%
3 864
13.8%
754
12.1%
6 495
7.9%
2 403
 
6.5%
1 391
 
6.3%
9 373
 
6.0%
7 350
 
5.6%
8 339
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6244
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1019
16.3%
5 982
15.7%
3 864
13.8%
754
12.1%
6 495
7.9%
2 403
 
6.5%
1 391
 
6.3%
9 373
 
6.0%
7 350
 
5.6%
8 339
 
5.4%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct554
Distinct (%)87.1%
Missing28
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean988.66912
Minimum0
Maximum25339.8
Zeros17
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-29T21:29:15.434496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile307.38
Q1397
median547.79
Q3838.4025
95-th percentile2635.04
Maximum25339.8
Range25339.8
Interquartile range (IQR)441.4025

Descriptive statistics

Standard deviation1939.3614
Coefficient of variation (CV)1.961588
Kurtosis58.241432
Mean988.66912
Median Absolute Deviation (MAD)187.66
Skewness6.7838466
Sum628793.56
Variance3761122.8
MonotonicityNot monotonic
2024-04-29T21:29:15.580297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 17
 
2.6%
495.0 5
 
0.8%
396.0 5
 
0.8%
450.0 4
 
0.6%
542.0 4
 
0.6%
467.26 3
 
0.5%
300.0 3
 
0.5%
660.0 3
 
0.5%
792.0 3
 
0.5%
1650.0 3
 
0.5%
Other values (544) 586
88.3%
(Missing) 28
 
4.2%
ValueCountFrequency (%)
0.0 17
2.6%
1.24 1
 
0.2%
202.0 1
 
0.2%
300.0 3
 
0.5%
301.0 1
 
0.2%
301.57 1
 
0.2%
302.31 1
 
0.2%
303.5 1
 
0.2%
303.55 1
 
0.2%
304.2 1
 
0.2%
ValueCountFrequency (%)
25339.8 1
0.2%
15160.0 1
0.2%
14754.69 1
0.2%
13168.0 1
0.2%
12728.25 1
0.2%
12616.0 1
0.2%
12500.0 1
0.2%
12092.14 1
0.2%
10058.0 1
0.2%
9185.8 1
0.2%

소재지우편번호
Text

MISSING 

Distinct277
Distinct (%)43.2%
Missing23
Missing (%)3.5%
Memory size5.3 KiB
2024-04-29T21:29:15.826699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters4487
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

Unique125 ?
Unique (%)19.5%

Sample

1st row700-831
2nd row700-320
3rd row700-819
4th row700-112
5th row700-070
ValueCountFrequency (%)
706-170 12
 
1.9%
711-813 9
 
1.4%
701-847 8
 
1.2%
711-852 8
 
1.2%
711-812 8
 
1.2%
704-912 8
 
1.2%
702-803 7
 
1.1%
711-815 7
 
1.1%
702-886 7
 
1.1%
706-839 7
 
1.1%
Other values (267) 560
87.4%
2024-04-29T21:29:16.205255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 845
18.8%
7 734
16.4%
- 641
14.3%
8 573
12.8%
1 446
9.9%
2 300
 
6.7%
4 284
 
6.3%
3 222
 
4.9%
6 187
 
4.2%
5 134
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3846
85.7%
Dash Punctuation 641
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 845
22.0%
7 734
19.1%
8 573
14.9%
1 446
11.6%
2 300
 
7.8%
4 284
 
7.4%
3 222
 
5.8%
6 187
 
4.9%
5 134
 
3.5%
9 121
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 641
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4487
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 845
18.8%
7 734
16.4%
- 641
14.3%
8 573
12.8%
1 446
9.9%
2 300
 
6.7%
4 284
 
6.3%
3 222
 
4.9%
6 187
 
4.2%
5 134
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4487
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 845
18.8%
7 734
16.4%
- 641
14.3%
8 573
12.8%
1 446
9.9%
2 300
 
6.7%
4 284
 
6.3%
3 222
 
4.9%
6 187
 
4.2%
5 134
 
3.0%

소재지전체주소
Text

Distinct578
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-04-29T21:29:16.521621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length42
Mean length23.509036
Min length17

Characters and Unicode

Total characters15610
Distinct characters237
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

Unique508 ?
Unique (%)76.5%

Sample

1st row대구광역시 중구 남산동 0151-0104 1층
2nd row대구광역시 중구 대신동 2106 대신센트럴자이 303동 B101호
3rd row대구광역시 중구 대신동 1621
4th row대구광역시 중구 태평로2가 0028-0001 1층
5th row대구광역시 중구 덕산동 0053-0003
ValueCountFrequency (%)
대구광역시 664
 
20.8%
달서구 159
 
5.0%
북구 109
 
3.4%
동구 105
 
3.3%
수성구 104
 
3.3%
달성군 89
 
2.8%
서구 38
 
1.2%
1층 36
 
1.1%
남구 33
 
1.0%
다사읍 29
 
0.9%
Other values (836) 1828
57.2%
2024-04-29T21:29:16.959654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3158
20.2%
구 1253
 
8.0%
1 862
 
5.5%
동 778
 
5.0%
대 726
 
4.7%
시 674
 
4.3%
역 666
 
4.3%
광 664
 
4.3%
- 450
 
2.9%
2 386
 
2.5%
Other values (227) 5993
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8588
55.0%
Decimal Number 3223
 
20.6%
Space Separator 3158
 
20.2%
Dash Punctuation 450
 
2.9%
Close Punctuation 54
 
0.3%
Open Punctuation 54
 
0.3%
Uppercase Letter 45
 
0.3%
Other Punctuation 34
 
0.2%
Math Symbol 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1253
14.6%
동 778
 
9.1%
대 726
 
8.5%
시 674
 
7.8%
역 666
 
7.8%
광 664
 
7.7%
성 252
 
2.9%
달 249
 
2.9%
서 238
 
2.8%
지 197
 
2.3%
Other values (197) 2891
33.7%
Uppercase Letter
ValueCountFrequency (%)
B 15
33.3%
A 14
31.1%
C 4
 
8.9%
S 2
 
4.4%
P 2
 
4.4%
D 2
 
4.4%
E 1
 
2.2%
R 1
 
2.2%
O 1
 
2.2%
X 1
 
2.2%
Other values (2) 2
 
4.4%
Decimal Number
ValueCountFrequency (%)
1 862
26.7%
2 386
12.0%
0 350
10.9%
3 283
 
8.8%
5 270
 
8.4%
4 254
 
7.9%
7 223
 
6.9%
8 207
 
6.4%
9 196
 
6.1%
6 192
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 31
91.2%
. 3
 
8.8%
Space Separator
ValueCountFrequency (%)
3158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 450
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8588
55.0%
Common 6976
44.7%
Latin 46
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1253
14.6%
동 778
 
9.1%
대 726
 
8.5%
시 674
 
7.8%
역 666
 
7.8%
광 664
 
7.7%
성 252
 
2.9%
달 249
 
2.9%
서 238
 
2.8%
지 197
 
2.3%
Other values (197) 2891
33.7%
Common
ValueCountFrequency (%)
3158
45.3%
1 862
 
12.4%
- 450
 
6.5%
2 386
 
5.5%
0 350
 
5.0%
3 283
 
4.1%
5 270
 
3.9%
4 254
 
3.6%
7 223
 
3.2%
8 207
 
3.0%
Other values (7) 533
 
7.6%
Latin
ValueCountFrequency (%)
B 15
32.6%
A 14
30.4%
C 4
 
8.7%
S 2
 
4.3%
P 2
 
4.3%
D 2
 
4.3%
e 1
 
2.2%
E 1
 
2.2%
R 1
 
2.2%
O 1
 
2.2%
Other values (3) 3
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8588
55.0%
ASCII 7022
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3158
45.0%
1 862
 
12.3%
- 450
 
6.4%
2 386
 
5.5%
0 350
 
5.0%
3 283
 
4.0%
5 270
 
3.8%
4 254
 
3.6%
7 223
 
3.2%
8 207
 
2.9%
Other values (20) 579
 
8.2%
Hangul
ValueCountFrequency (%)
구 1253
14.6%
동 778
 
9.1%
대 726
 
8.5%
시 674
 
7.8%
역 666
 
7.8%
광 664
 
7.7%
성 252
 
2.9%
달 249
 
2.9%
서 238
 
2.8%
지 197
 
2.3%
Other values (197) 2891
33.7%

도로명전체주소
Text

MISSING 

Distinct513
Distinct (%)94.3%
Missing120
Missing (%)18.1%
Memory size5.3 KiB
2024-04-29T21:29:17.290825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length52
Mean length29.148897
Min length20

Characters and Unicode

Total characters15857
Distinct characters279
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

Unique484 ?
Unique (%)89.0%

Sample

1st row대구광역시 중구 달구벌대로 2016-10 (남산동)
2nd row대구광역시 중구 달구벌대로 1955, 303동 B101호 (대신동, 대신센트럴자이)
3rd row대구광역시 중구 달구벌대로389길 56 (대신동)
4th row대구광역시 중구 태평로 124, 1층 (태평로2가)
5th row대구광역시 중구 달구벌대로 2085 (덕산동)
ValueCountFrequency (%)
대구광역시 544
 
16.8%
1층 163
 
5.0%
달서구 132
 
4.1%
동구 90
 
2.8%
수성구 88
 
2.7%
북구 81
 
2.5%
달성군 69
 
2.1%
서구 30
 
0.9%
남구 28
 
0.9%
지하1층 26
 
0.8%
Other values (902) 1982
61.3%
2024-04-29T21:29:17.801884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2689
 
17.0%
구 1092
 
6.9%
1 750
 
4.7%
동 747
 
4.7%
대 697
 
4.4%
시 561
 
3.5%
역 554
 
3.5%
광 545
 
3.4%
로 538
 
3.4%
) 503
 
3.2%
Other values (269) 7181
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9229
58.2%
Space Separator 2689
 
17.0%
Decimal Number 2374
 
15.0%
Close Punctuation 503
 
3.2%
Open Punctuation 503
 
3.2%
Other Punctuation 429
 
2.7%
Uppercase Letter 66
 
0.4%
Dash Punctuation 45
 
0.3%
Math Symbol 18
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1092
 
11.8%
동 747
 
8.1%
대 697
 
7.6%
시 561
 
6.1%
역 554
 
6.0%
광 545
 
5.9%
로 538
 
5.8%
층 256
 
2.8%
달 254
 
2.8%
성 237
 
2.6%
Other values (234) 3748
40.6%
Uppercase Letter
ValueCountFrequency (%)
A 22
33.3%
B 15
22.7%
C 7
 
10.6%
D 4
 
6.1%
T 2
 
3.0%
E 2
 
3.0%
S 2
 
3.0%
R 2
 
3.0%
O 2
 
3.0%
P 2
 
3.0%
Other values (6) 6
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 750
31.6%
2 308
13.0%
0 234
 
9.9%
3 208
 
8.8%
4 182
 
7.7%
5 178
 
7.5%
6 156
 
6.6%
7 139
 
5.9%
8 111
 
4.7%
9 108
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 427
99.5%
. 2
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 17
94.4%
+ 1
 
5.6%
Space Separator
ValueCountFrequency (%)
2689
100.0%
Close Punctuation
ValueCountFrequency (%)
) 503
100.0%
Open Punctuation
ValueCountFrequency (%)
( 503
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9229
58.2%
Common 6561
41.4%
Latin 67
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1092
 
11.8%
동 747
 
8.1%
대 697
 
7.6%
시 561
 
6.1%
역 554
 
6.0%
광 545
 
5.9%
로 538
 
5.8%
층 256
 
2.8%
달 254
 
2.8%
성 237
 
2.6%
Other values (234) 3748
40.6%
Common
ValueCountFrequency (%)
2689
41.0%
1 750
 
11.4%
) 503
 
7.7%
( 503
 
7.7%
, 427
 
6.5%
2 308
 
4.7%
0 234
 
3.6%
3 208
 
3.2%
4 182
 
2.8%
5 178
 
2.7%
Other values (8) 579
 
8.8%
Latin
ValueCountFrequency (%)
A 22
32.8%
B 15
22.4%
C 7
 
10.4%
D 4
 
6.0%
T 2
 
3.0%
E 2
 
3.0%
S 2
 
3.0%
R 2
 
3.0%
O 2
 
3.0%
P 2
 
3.0%
Other values (7) 7
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9229
58.2%
ASCII 6628
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2689
40.6%
1 750
 
11.3%
) 503
 
7.6%
( 503
 
7.6%
, 427
 
6.4%
2 308
 
4.6%
0 234
 
3.5%
3 208
 
3.1%
4 182
 
2.7%
5 178
 
2.7%
Other values (25) 646
 
9.7%
Hangul
ValueCountFrequency (%)
구 1092
 
11.8%
동 747
 
8.1%
대 697
 
7.6%
시 561
 
6.1%
역 554
 
6.0%
광 545
 
5.9%
로 538
 
5.8%
층 256
 
2.8%
달 254
 
2.8%
성 237
 
2.6%
Other values (234) 3748
40.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct346
Distinct (%)64.2%
Missing125
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean42131.096
Minimum41002
Maximum43137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-29T21:29:17.951866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41072.9
Q141511
median42212
Q342760
95-th percentile42985.1
Maximum43137
Range2135
Interquartile range (IQR)1249

Descriptive statistics

Standard deviation663.58957
Coefficient of variation (CV)0.015750589
Kurtosis-1.3472165
Mean42131.096
Median Absolute Deviation (MAD)589
Skewness-0.2628409
Sum22708661
Variance440351.12
MonotonicityNot monotonic
2024-04-29T21:29:18.076792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42780 7
 
1.1%
42760 5
 
0.8%
41516 5
 
0.8%
41446 4
 
0.6%
42247 4
 
0.6%
41087 4
 
0.6%
41427 4
 
0.6%
42974 4
 
0.6%
41044 4
 
0.6%
41412 4
 
0.6%
Other values (336) 494
74.4%
(Missing) 125
 
18.8%
ValueCountFrequency (%)
41002 2
0.3%
41005 2
0.3%
41009 1
 
0.2%
41026 3
0.5%
41036 2
0.3%
41037 2
0.3%
41043 2
0.3%
41044 4
0.6%
41045 1
 
0.2%
41050 2
0.3%
ValueCountFrequency (%)
43137 1
 
0.2%
43118 3
0.5%
43117 1
 
0.2%
43114 2
0.3%
43024 1
 
0.2%
43020 1
 
0.2%
43018 3
0.5%
43017 2
0.3%
43015 1
 
0.2%
43010 3
0.5%

사업장명
Text

Distinct558
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-04-29T21:29:18.301233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length8.3012048
Min length2

Characters and Unicode

Total characters5512
Distinct characters331
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique516 ?
Unique (%)77.7%

Sample

1st row청라홈마트
2nd row홈마트
3rd row오케이(O.K)포인트마트
4th row나이스마트 대구역점
5th row주식회사 이랜드킴스클럽 쇼핑점
ValueCountFrequency (%)
대백마트 33
 
4.0%
나이스마트 21
 
2.6%
홈마트 12
 
1.5%
필마트 10
 
1.2%
드림마트 8
 
1.0%
롯데쇼핑(주)롯데슈퍼 7
 
0.9%
파워마트 7
 
0.9%
주식회사 7
 
0.9%
마트 6
 
0.7%
마트프라임 6
 
0.7%
Other values (592) 699
85.7%
2024-04-29T21:29:18.651009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 525
 
9.5%
마 507
 
9.2%
점 312
 
5.7%
) 221
 
4.0%
( 221
 
4.0%
대 181
 
3.3%
153
 
2.8%
주 144
 
2.6%
스 137
 
2.5%
이 131
 
2.4%
Other values (321) 2980
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4817
87.4%
Close Punctuation 221
 
4.0%
Open Punctuation 221
 
4.0%
Space Separator 153
 
2.8%
Uppercase Letter 61
 
1.1%
Lowercase Letter 19
 
0.3%
Dash Punctuation 7
 
0.1%
Decimal Number 7
 
0.1%
Other Punctuation 3
 
0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 525
 
10.9%
마 507
 
10.5%
점 312
 
6.5%
대 181
 
3.8%
주 144
 
3.0%
스 137
 
2.8%
이 131
 
2.7%
백 93
 
1.9%
구 77
 
1.6%
인 68
 
1.4%
Other values (280) 2642
54.8%
Uppercase Letter
ValueCountFrequency (%)
K 15
24.6%
O 14
23.0%
D 6
 
9.8%
C 5
 
8.2%
S 5
 
8.2%
G 3
 
4.9%
E 3
 
4.9%
I 3
 
4.9%
T 2
 
3.3%
M 1
 
1.6%
Other values (4) 4
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
e 3
15.8%
o 3
15.8%
s 3
15.8%
l 2
10.5%
h 1
 
5.3%
x 1
 
5.3%
d 1
 
5.3%
w 1
 
5.3%
p 1
 
5.3%
r 1
 
5.3%
Other values (2) 2
10.5%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
3 1
 
14.3%
6 1
 
14.3%
5 1
 
14.3%
1 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
! 1
33.3%
. 1
33.3%
& 1
33.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 221
100.0%
Open Punctuation
ValueCountFrequency (%)
( 221
100.0%
Space Separator
ValueCountFrequency (%)
153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4818
87.4%
Common 612
 
11.1%
Latin 82
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 525
 
10.9%
마 507
 
10.5%
점 312
 
6.5%
대 181
 
3.8%
주 144
 
3.0%
스 137
 
2.8%
이 131
 
2.7%
백 93
 
1.9%
구 77
 
1.6%
인 68
 
1.4%
Other values (281) 2643
54.9%
Latin
ValueCountFrequency (%)
K 15
18.3%
O 14
17.1%
D 6
 
7.3%
C 5
 
6.1%
S 5
 
6.1%
G 3
 
3.7%
e 3
 
3.7%
o 3
 
3.7%
E 3
 
3.7%
I 3
 
3.7%
Other values (18) 22
26.8%
Common
ValueCountFrequency (%)
) 221
36.1%
( 221
36.1%
153
25.0%
- 7
 
1.1%
2 3
 
0.5%
! 1
 
0.2%
3 1
 
0.2%
. 1
 
0.2%
6 1
 
0.2%
5 1
 
0.2%
Other values (2) 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4817
87.4%
ASCII 692
 
12.6%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 525
 
10.9%
마 507
 
10.5%
점 312
 
6.5%
대 181
 
3.8%
주 144
 
3.0%
스 137
 
2.8%
이 131
 
2.7%
백 93
 
1.9%
구 77
 
1.6%
인 68
 
1.4%
Other values (280) 2642
54.8%
ASCII
ValueCountFrequency (%)
) 221
31.9%
( 221
31.9%
153
22.1%
K 15
 
2.2%
O 14
 
2.0%
- 7
 
1.0%
D 6
 
0.9%
C 5
 
0.7%
S 5
 
0.7%
G 3
 
0.4%
Other values (28) 42
 
6.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Date

Distinct645
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2001-08-23 00:00:00
Maximum2024-03-22 13:52:54
2024-04-29T21:29:18.808280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:29:18.940991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
I
370 
U
294 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 370
55.7%
U 294
44.3%

Length

2024-04-29T21:29:19.066476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:19.164810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 370
55.7%
u 294
44.3%

데이터갱신일자
Date

Distinct271
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2018-08-31 23:59:59
Maximum2024-03-24 02:40:00
2024-04-29T21:29:19.270270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:29:19.450821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
기타식품판매업
664 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 664
100.0%

Length

2024-04-29T21:29:19.861328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:19.961734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 664
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct484
Distinct (%)74.3%
Missing13
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean342495.42
Minimum327363.83
Maximum357881.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-29T21:29:20.063765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327363.83
5-th percentile331518.58
Q1338434.21
median341207.26
Q3346831.55
95-th percentile354380.82
Maximum357881.33
Range30517.501
Interquartile range (IQR)8397.3371

Descriptive statistics

Standard deviation6494.3665
Coefficient of variation (CV)0.018961908
Kurtosis-0.44741709
Mean342495.42
Median Absolute Deviation (MAD)4378.5947
Skewness0.19123507
Sum2.2296452 × 108
Variance42176797
MonotonicityNot monotonic
2024-04-29T21:29:20.185830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339180.112254152 5
 
0.8%
348304.264728808 4
 
0.6%
355759.028695703 4
 
0.6%
347826.817028935 4
 
0.6%
345967.428447026 4
 
0.6%
338678.797272666 4
 
0.6%
338300.745101101 4
 
0.6%
330882.168489692 3
 
0.5%
346282.198324117 3
 
0.5%
339774.225012714 3
 
0.5%
Other values (474) 613
92.3%
(Missing) 13
 
2.0%
ValueCountFrequency (%)
327363.828177518 1
0.2%
327726.873050023 1
0.2%
327994.771470839 1
0.2%
328032.453544805 1
0.2%
328337.804499192 1
0.2%
329190.900054984 1
0.2%
329636.392774519 1
0.2%
329898.834237202 1
0.2%
330129.072570815 1
0.2%
330130.823289004 1
0.2%
ValueCountFrequency (%)
357881.329153021 1
 
0.2%
356429.740532646 1
 
0.2%
356410.892344199 1
 
0.2%
356223.244084316 1
 
0.2%
356082.088510347 1
 
0.2%
355939.362329351 1
 
0.2%
355759.028695703 4
0.6%
355737.129428969 2
0.3%
355694.01492302 2
0.3%
355652.896847736 1
 
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct484
Distinct (%)74.3%
Missing13
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean262970
Minimum240452.6
Maximum305597.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-29T21:29:20.319863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240452.6
5-th percentile254177.55
Q1259939.71
median262949.87
Q3265662.16
95-th percentile271944.94
Maximum305597.02
Range65144.425
Interquartile range (IQR)5722.4516

Descriptive statistics

Standard deviation7093.5609
Coefficient of variation (CV)0.026974792
Kurtosis11.530174
Mean262970
Median Absolute Deviation (MAD)2817.6636
Skewness1.328202
Sum1.7119347 × 108
Variance50318606
MonotonicityNot monotonic
2024-04-29T21:29:20.463710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
271678.34729922 5
 
0.8%
259445.17112843 4
 
0.6%
264357.76825185 4
 
0.6%
267363.246963872 4
 
0.6%
268444.938565273 4
 
0.6%
260540.364298043 4
 
0.6%
259066.123687973 4
 
0.6%
248312.094462457 3
 
0.5%
262132.399591504 3
 
0.5%
260039.727156833 3
 
0.5%
Other values (474) 613
92.3%
(Missing) 13
 
2.0%
ValueCountFrequency (%)
240452.595560483 1
0.2%
240457.763653127 1
0.2%
240757.941481673 1
0.2%
241079.570172457 1
0.2%
241150.870459004 1
0.2%
242735.533882088 1
0.2%
244184.010181879 1
0.2%
244299.11752907 1
0.2%
244347.936404907 1
0.2%
244543.552402647 1
0.2%
ValueCountFrequency (%)
305597.020750504 2
0.3%
305037.174491849 1
0.2%
304607.025899462 2
0.3%
304496.13279285 1
0.2%
292024.590733752 1
0.2%
274053.957157104 1
0.2%
273590.429551867 1
0.2%
273485.891451374 2
0.3%
273428.028289324 1
0.2%
273396.782286087 1
0.2%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
기타식품판매업
664 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 664
100.0%

Length

2024-04-29T21:29:20.590430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:20.677290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 664
100.0%

남성종사자수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
529 
0
135 

Length

Max length4
Median length4
Mean length3.3900602
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 529
79.7%
0 135
 
20.3%

Length

2024-04-29T21:29:20.771442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:20.867720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 529
79.7%
0 135
 
20.3%

여성종사자수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
529 
0
135 

Length

Max length4
Median length4
Mean length3.3900602
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 529
79.7%
0 135
 
20.3%

Length

2024-04-29T21:29:20.966732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:21.073051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 529
79.7%
0 135
 
20.3%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing664
Missing (%)100.0%
Memory size6.0 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing664
Missing (%)100.0%
Memory size6.0 KiB

급수시설구분명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
426 
상수도전용
237 
상수도(음용)지하수(주방용)겸용
 
1

Length

Max length17
Median length4
Mean length4.376506
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 426
64.2%
상수도전용 237
35.7%
상수도(음용)지하수(주방용)겸용 1
 
0.2%

Length

2024-04-29T21:29:21.178720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:21.279190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 426
64.2%
상수도전용 237
35.7%
상수도(음용)지하수(주방용)겸용 1
 
0.2%

총직원수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
530 
0
134 

Length

Max length4
Median length4
Mean length3.3945783
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 530
79.8%
0 134
 
20.2%

Length

2024-04-29T21:29:21.389600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:21.488737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 530
79.8%
0 134
 
20.2%

본사직원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
0
547 
<NA>
115 
80
 
1
5
 
1

Length

Max length4
Median length1
Mean length1.5210843
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 547
82.4%
<NA> 115
 
17.3%
80 1
 
0.2%
5 1
 
0.2%

Length

2024-04-29T21:29:21.601161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:21.706536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 547
82.4%
na 115
 
17.3%
80 1
 
0.2%
5 1
 
0.2%

공장사무직직원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7
Distinct (%)1.3%
Missing115
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean0.24590164
Minimum0
Maximum80
Zeros519
Zeros (%)78.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-29T21:29:21.798541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum80
Range80
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.4529695
Coefficient of variation (CV)14.042076
Kurtosis522.10849
Mean0.24590164
Median Absolute Deviation (MAD)0
Skewness22.598005
Sum135
Variance11.922999
MonotonicityNot monotonic
2024-04-29T21:29:21.906614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 519
78.2%
1 15
 
2.3%
2 9
 
1.4%
3 3
 
0.5%
80 1
 
0.2%
8 1
 
0.2%
5 1
 
0.2%
(Missing) 115
 
17.3%
ValueCountFrequency (%)
0 519
78.2%
1 15
 
2.3%
2 9
 
1.4%
3 3
 
0.5%
5 1
 
0.2%
8 1
 
0.2%
80 1
 
0.2%
ValueCountFrequency (%)
80 1
 
0.2%
8 1
 
0.2%
5 1
 
0.2%
3 3
 
0.5%
2 9
 
1.4%
1 15
 
2.3%
0 519
78.2%

공장판매직직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)2.9%
Missing115
Missing (%)17.3%
Infinite0
Infinite (%)0.0%
Mean0.66120219
Minimum0
Maximum46
Zeros507
Zeros (%)76.4%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-29T21:29:22.016566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.3284286
Coefficient of variation (CV)5.0339045
Kurtosis83.460033
Mean0.66120219
Median Absolute Deviation (MAD)0
Skewness8.0210636
Sum363
Variance11.078437
MonotonicityNot monotonic
2024-04-29T21:29:22.125435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 507
76.4%
5 6
 
0.9%
1 5
 
0.8%
2 4
 
0.6%
3 4
 
0.6%
15 3
 
0.5%
4 3
 
0.5%
12 3
 
0.5%
7 3
 
0.5%
20 2
 
0.3%
Other values (6) 9
 
1.4%
(Missing) 115
 
17.3%
ValueCountFrequency (%)
0 507
76.4%
1 5
 
0.8%
2 4
 
0.6%
3 4
 
0.6%
4 3
 
0.5%
5 6
 
0.9%
7 3
 
0.5%
8 2
 
0.3%
10 2
 
0.3%
12 3
 
0.5%
ValueCountFrequency (%)
46 1
 
0.2%
32 1
 
0.2%
20 2
0.3%
15 3
0.5%
14 1
 
0.2%
13 2
0.3%
12 3
0.5%
10 2
0.3%
8 2
0.3%
7 3
0.5%

공장생산직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
0
545 
<NA>
115 
3
 
1
80
 
1
2
 
1

Length

Max length4
Median length1
Mean length1.5210843
Min length1

Unique

Unique4 ?
Unique (%)0.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 545
82.1%
<NA> 115
 
17.3%
3 1
 
0.2%
80 1
 
0.2%
2 1
 
0.2%
6 1
 
0.2%

Length

2024-04-29T21:29:22.240503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:22.357624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 545
82.1%
na 115
 
17.3%
3 1
 
0.2%
80 1
 
0.2%
2 1
 
0.2%
6 1
 
0.2%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
430 
자가
147 
임대
87 

Length

Max length4
Median length4
Mean length3.2951807
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 430
64.8%
자가 147
 
22.1%
임대 87
 
13.1%

Length

2024-04-29T21:29:22.482644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:22.591799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 430
64.8%
자가 147
 
22.1%
임대 87
 
13.1%

보증액
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
526 
0
137 
40000000
 
1

Length

Max length8
Median length4
Mean length3.3870482
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 526
79.2%
0 137
 
20.6%
40000000 1
 
0.2%

Length

2024-04-29T21:29:22.704770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:22.803650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 526
79.2%
0 137
 
20.6%
40000000 1
 
0.2%

월세액
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
526 
0
137 
1000000
 
1

Length

Max length7
Median length4
Mean length3.3855422
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 526
79.2%
0 137
 
20.6%
1000000 1
 
0.2%

Length

2024-04-29T21:29:22.901404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:22.996279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 526
79.2%
0 137
 
20.6%
1000000 1
 
0.2%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size796.0 B
False
664 
ValueCountFrequency (%)
False 664
100.0%
2024-04-29T21:29:23.071634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

SKEWED  ZEROS 

Distinct72
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.873373
Minimum0
Maximum15160
Zeros588
Zeros (%)88.6%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-04-29T21:29:23.164959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile60.761
Maximum15160
Range15160
Interquartile range (IQR)0

Descriptive statistics

Standard deviation623.14257
Coefficient of variation (CV)11.152764
Kurtosis524.13317
Mean55.873373
Median Absolute Deviation (MAD)0
Skewness21.936378
Sum37099.92
Variance388306.67
MonotonicityNot monotonic
2024-04-29T21:29:23.295298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 588
88.6%
3.3 2
 
0.3%
10.54 2
 
0.3%
13.5 2
 
0.3%
13.2 2
 
0.3%
30.0 2
 
0.3%
478.24 1
 
0.2%
480.84 1
 
0.2%
127.92 1
 
0.2%
13.8 1
 
0.2%
Other values (62) 62
 
9.3%
ValueCountFrequency (%)
0.0 588
88.6%
1.7 1
 
0.2%
3.0 1
 
0.2%
3.3 2
 
0.3%
4.33 1
 
0.2%
5.0 1
 
0.2%
5.1 1
 
0.2%
6.6 1
 
0.2%
7.4 1
 
0.2%
8.75 1
 
0.2%
ValueCountFrequency (%)
15160.0 1
0.2%
3360.0 1
0.2%
2745.0 1
0.2%
1153.87 1
0.2%
1126.0 1
0.2%
995.5 1
0.2%
935.04 1
0.2%
930.56 1
0.2%
855.03 1
0.2%
852.8 1
0.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing664
Missing (%)100.0%
Memory size6.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing664
Missing (%)100.0%
Memory size6.0 KiB

홈페이지
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
<NA>
663 
14
 
1

Length

Max length4
Median length4
Mean length3.996988
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 663
99.8%
14 1
 
0.2%

Length

2024-04-29T21:29:23.430256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:29:23.548699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 663
99.8%
14 1
 
0.2%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01식품판매업(기타)07_22_13_P34100003410000-114-2022-000032022-02-21<NA>1영업/정상1영업<NA><NA><NA><NA><NA>323.0700-831대구광역시 중구 남산동 0151-0104 1층대구광역시 중구 달구벌대로 2016-10 (남산동)41964청라홈마트2022-03-07 13:25:21U2022-03-10 02:40:00기타식품판매업343023.950149263898.645033기타식품판매업00<NA><NA>상수도전용00000자가00N0.0<NA><NA><NA>
12식품판매업(기타)07_22_13_P34100003410000-114-2020-000012020-12-07<NA>3폐업2폐업2022-01-13<NA><NA><NA>053 4272228372.0700-320대구광역시 중구 대신동 2106 대신센트럴자이 303동 B101호대구광역시 중구 달구벌대로 1955, 303동 B101호 (대신동, 대신센트럴자이)41929홈마트2022-01-13 15:29:05U2022-01-15 02:40:00기타식품판매업342424.00132263905.367548기타식품판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
23식품판매업(기타)07_22_13_P34100003410000-114-2022-000012022-01-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0700-819대구광역시 중구 대신동 1621대구광역시 중구 달구벌대로389길 56 (대신동)41928오케이(O.K)포인트마트2022-01-12 14:28:11I2022-01-14 00:22:40기타식품판매업342275.106387263999.302348기타식품판매업00<NA><NA><NA>00000자가00N0.0<NA><NA><NA>
34식품판매업(기타)07_22_13_P34100003410000-114-2023-000012023-02-28<NA>1영업/정상1영업<NA><NA><NA><NA><NA>460.78700-112대구광역시 중구 태평로2가 0028-0001 1층대구광역시 중구 태평로 124, 1층 (태평로2가)41917나이스마트 대구역점2023-03-16 17:38:11U2023-03-18 02:40:00기타식품판매업343629.489207265087.218831기타식품판매업00<NA><NA><NA>00020<NA>00N0.0<NA><NA><NA>
45식품판매업(기타)07_22_13_P34100003410000-114-1990-000021990-05-18<NA>1영업/정상1영업<NA><NA><NA><NA>053 25221112296.8700-070대구광역시 중구 덕산동 0053-0003대구광역시 중구 달구벌대로 2085 (덕산동)41936주식회사 이랜드킴스클럽 쇼핑점2022-11-01 14:16:14U2022-11-03 02:40:00기타식품판매업343705.561002264056.630949기타식품판매업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
56식품판매업(기타)07_22_13_P34100003410000-114-1993-000011993-09-07<NA>1영업/정상1영업<NA><NA><NA><NA>053 42612343592.2700-811대구광역시 중구 대봉동 0214대구광역시 중구 명덕로 333 (대봉동)41953(주)대구백화점대백프라자2012-02-01 16:05:19I2018-08-31 23:59:59기타식품판매업345032.238221262949.871621기타식품판매업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
67식품판매업(기타)07_22_13_P34100003410000-114-2007-000012007-09-06<NA>1영업/정상1영업<NA><NA><NA><NA>053 252 5601661.0700-808대구광역시 중구 남산동 2971-0011 지상1층대구광역시 중구 달구벌대로 1936, 1층 (남산동)41974롯데쇼핑(주)롯데슈퍼 남산점2023-05-24 16:43:28U2023-05-26 02:40:00기타식품판매업342303.123488263634.294525기타식품판매업<NA><NA><NA><NA>상수도전용<NA>03200임대<NA><NA>N0.0<NA><NA><NA>
78식품판매업(기타)07_22_13_P34100003410000-114-2008-000012008-02-01<NA>1영업/정상1영업<NA><NA><NA><NA>053 253 38000.0700-810대구광역시 중구 대봉동 0060-0010 센트로팰리스아파트 108동 1층 101호대구광역시 중구 대봉로 260, 108동 1층 101호 (대봉동, 센트로팰리스아파트)41950대백마트(대봉점)2022-10-05 16:14:47U2022-10-07 02:40:00기타식품판매업344584.149436263593.636812기타식품판매업<NA><NA><NA><NA>상수도전용<NA>01150임대<NA><NA>N0.0<NA><NA><NA>
89식품판매업(기타)07_22_13_P34100003410000-114-2011-000012011-08-16<NA>1영업/정상1영업<NA><NA><NA><NA>053 24529014694.0700-082대구광역시 중구 계산동2가 0200 외1필지 지하1층대구광역시 중구 달구벌대로 2077 (계산동2가, 외1필지 지하1층)41936(주) 현대백화점2023-03-23 13:06:37U2023-03-25 02:40:00기타식품판매업343588.735555264119.01075기타식품판매업00<NA><NA>상수도전용00000자가00N0.0<NA><NA><NA>
910식품판매업(기타)07_22_13_P34100003410000-114-2014-000022014-12-24<NA>1영업/정상1영업<NA><NA><NA><NA>053 4261457396.0700-413대구광역시 중구 삼덕동3가 0120-0001 지상1층대구광역시 중구 동덕로30길 90 (삼덕동3가, 지상1층)41946마트프라임 경대병원점2014-12-24 15:14:39I2018-08-31 23:59:59기타식품판매업345218.241331264089.335411기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
654655식품판매업(기타)07_22_13_P34800003480000-114-2016-000062016-08-03<NA>1영업/정상1영업<NA><NA><NA><NA>053 592 0063955.02711-814대구광역시 달성군 다사읍 세천리 1577대구광역시 달성군 다사읍 세천본길 4642922이코노마트(세천점)2016-08-03 17:07:27I2018-08-31 23:59:59기타식품판매업333452.241382264959.785591기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
655656식품판매업(기타)07_22_13_P34800003480000-114-2017-000022017-06-19<NA>1영업/정상1영업<NA><NA><NA><NA>053 626 8288884.52711-837대구광역시 달성군 화원읍 천내리 82대구광역시 달성군 화원읍 화원로1길 45-6, 1층42955오케이식자재마트2017-06-19 15:34:15I2018-08-31 23:59:59기타식품판매업335345.042644257032.636665기타식품판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA>자가<NA><NA>N10.54<NA><NA><NA>
656657식품판매업(기타)07_22_13_P34800003480000-114-2019-000012019-01-08<NA>1영업/정상1영업<NA><NA><NA><NA>053 614 8949414.89711-852대구광역시 달성군 논공읍 남리 1078대구광역시 달성군 논공읍 논공로9길 4242978드림마트2022-12-07 14:24:23U2022-12-09 02:40:00기타식품판매업330130.823289248836.764563기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
657658식품판매업(기타)07_22_13_P51410005141000-114-2001-000022001-01-08<NA>1영업/정상1영업<NA><NA><NA><NA>054 38056611126.0<NA>대구광역시 군위군 효령면 고곡리 438대구광역시 군위군 효령면 경북대로 218543137(주)농협하나로유통군위농산물종합유통센터2024-02-22 15:09:57U2024-02-24 02:40:00기타식품판매업341575.713236292024.590734기타식품판매업00<NA><NA>상수도전용00000<NA>00N1126.0<NA><NA><NA>
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660661식품판매업(기타)07_22_13_P51410005141000-114-2001-000012000-12-27<NA>3폐업2폐업2016-03-28<NA><NA><NA>054 3820440504.5<NA>대구광역시 군위군 군위읍 동부리 329대구광역시 군위군 군위읍 중앙길 14243114K-마트2015-03-16 10:17:28I2023-07-01 16:42:10기타식품판매업340956.190538305597.020751기타식품판매업00<NA><NA>상수도전용00000<NA>00N0.0<NA><NA><NA>
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