Overview

Dataset statistics

Number of variables47
Number of observations646
Missing cells6130
Missing cells (%)20.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory254.4 KiB
Average record size in memory403.2 B

Variable types

Numeric9
Categorical19
Text6
DateTime4
Unsupported8
Boolean1

Dataset

Description23년05월_6270000_대구광역시_07_22_13_P_식품판매업(기타)
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098194&dataSetDetailId=DDI_0000098220&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 (64.4%)Imbalance
공장생산직직원수 is highly imbalanced (71.2%)Imbalance
보증액 is highly imbalanced (59.0%)Imbalance
월세액 is highly imbalanced (59.0%)Imbalance
홈페이지 is highly imbalanced (98.3%)Imbalance
인허가취소일자 has 646 (100.0%) missing valuesMissing
폐업일자 has 322 (49.8%) missing valuesMissing
휴업시작일자 has 646 (100.0%) missing valuesMissing
휴업종료일자 has 646 (100.0%) missing valuesMissing
재개업일자 has 646 (100.0%) missing valuesMissing
소재지전화 has 96 (14.9%) missing valuesMissing
소재지면적 has 28 (4.3%) missing valuesMissing
소재지우편번호 has 15 (2.3%) missing valuesMissing
도로명전체주소 has 120 (18.6%) missing valuesMissing
도로명우편번호 has 125 (19.3%) missing valuesMissing
좌표정보(X) has 12 (1.9%) missing valuesMissing
좌표정보(Y) has 12 (1.9%) missing valuesMissing
영업장주변구분명 has 646 (100.0%) missing valuesMissing
등급구분명 has 646 (100.0%) missing valuesMissing
공장사무직직원수 has 116 (18.0%) missing valuesMissing
공장판매직직원수 has 116 (18.0%) missing valuesMissing
전통업소지정번호 has 646 (100.0%) missing valuesMissing
전통업소주된음식 has 646 (100.0%) missing valuesMissing
공장사무직직원수 is highly skewed (γ1 = 22.20423286)Skewed
시설총규모 is highly skewed (γ1 = 22.77339936)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 15 (2.3%) zerosZeros
공장사무직직원수 has 500 (77.4%) zerosZeros
공장판매직직원수 has 488 (75.5%) zerosZeros
시설총규모 has 576 (89.2%) zerosZeros

Reproduction

Analysis started2024-04-18 04:14:11.290264
Analysis finished2024-04-18 04:14:12.143762
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct646
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean323.5
Minimum1
Maximum646
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-04-18T13:14:12.276897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile33.25
Q1162.25
median323.5
Q3484.75
95-th percentile613.75
Maximum646
Range645
Interquartile range (IQR)322.5

Descriptive statistics

Standard deviation186.62842
Coefficient of variation (CV)0.57690392
Kurtosis-1.2
Mean323.5
Median Absolute Deviation (MAD)161.5
Skewness0
Sum208981
Variance34830.167
MonotonicityStrictly increasing
2024-04-18T13:14:12.657384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
406 1
 
0.2%
428 1
 
0.2%
429 1
 
0.2%
430 1
 
0.2%
431 1
 
0.2%
432 1
 
0.2%
433 1
 
0.2%
434 1
 
0.2%
435 1
 
0.2%
Other values (636) 636
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 (%)
646 1
0.2%
645 1
0.2%
644 1
0.2%
643 1
0.2%
642 1
0.2%
641 1
0.2%
640 1
0.2%
639 1
0.2%
638 1
0.2%
637 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
식품판매업(기타)
646 

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) 646
100.0%

Length

2024-04-18T13:14:12.852665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:14:13.025616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품판매업(기타 646
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
07_22_13_P
646 

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 646
100.0%

Length

2024-04-18T13:14:13.369531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:14:13.572114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_13_p 646
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3452925.7
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-04-18T13:14:13.805142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13440000
median3460000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation21107.713
Coefficient of variation (CV)0.0061129937
Kurtosis-0.97568029
Mean3452925.7
Median Absolute Deviation (MAD)10000
Skewness-0.52050243
Sum2.23059 × 109
Variance4.4553556 × 108
MonotonicityIncreasing
2024-04-18T13:14:14.028897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 156
24.1%
3450000 108
16.7%
3460000 103
15.9%
3420000 101
15.6%
3480000 88
13.6%
3430000 37
 
5.7%
3440000 33
 
5.1%
3410000 20
 
3.1%
ValueCountFrequency (%)
3410000 20
 
3.1%
3420000 101
15.6%
3430000 37
 
5.7%
3440000 33
 
5.1%
3450000 108
16.7%
3460000 103
15.9%
3470000 156
24.1%
3480000 88
13.6%
ValueCountFrequency (%)
3480000 88
13.6%
3470000 156
24.1%
3460000 103
15.9%
3450000 108
16.7%
3440000 33
 
5.1%
3430000 37
 
5.7%
3420000 101
15.6%
3410000 20
 
3.1%

관리번호
Text

UNIQUE 

Distinct646
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-04-18T13:14:14.297171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters14212
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

Unique646 ?
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%
3470000-114-1996-00004 1
 
0.2%
3470000-114-2018-00001 1
 
0.2%
3470000-114-2004-00002 1
 
0.2%
3470000-114-2018-00002 1
 
0.2%
3470000-114-2004-00005 1
 
0.2%
3470000-114-2005-00001 1
 
0.2%
3470000-114-2021-00001 1
 
0.2%
3470000-114-2002-00009 1
 
0.2%
3470000-114-1996-00003 1
 
0.2%
Other values (636) 636
98.5%
2024-04-18T13:14:14.653098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6051
42.6%
1 1952
 
13.7%
- 1938
 
13.6%
4 1449
 
10.2%
2 972
 
6.8%
3 831
 
5.8%
7 237
 
1.7%
5 230
 
1.6%
6 204
 
1.4%
9 181
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12274
86.4%
Dash Punctuation 1938
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6051
49.3%
1 1952
 
15.9%
4 1449
 
11.8%
2 972
 
7.9%
3 831
 
6.8%
7 237
 
1.9%
5 230
 
1.9%
6 204
 
1.7%
9 181
 
1.5%
8 167
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1938
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14212
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6051
42.6%
1 1952
 
13.7%
- 1938
 
13.6%
4 1449
 
10.2%
2 972
 
6.8%
3 831
 
5.8%
7 237
 
1.7%
5 230
 
1.6%
6 204
 
1.4%
9 181
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14212
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6051
42.6%
1 1952
 
13.7%
- 1938
 
13.6%
4 1449
 
10.2%
2 972
 
6.8%
3 831
 
5.8%
7 237
 
1.7%
5 230
 
1.6%
6 204
 
1.4%
9 181
 
1.3%

인허가일자
Date

Distinct608
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum1990-05-12 00:00:00
Maximum2023-04-18 00:00:00
2024-04-18T13:14:14.798073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T13:14:14.957390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing646
Missing (%)100.0%
Memory size5.8 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
3
324 
1
322 

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 (%)
3 324
50.2%
1 322
49.8%

Length

2024-04-18T13:14:15.078183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:14:15.170684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 324
50.2%
1 322
49.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
폐업
324 
영업/정상
322 

Length

Max length5
Median length2
Mean length3.495356
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 324
50.2%
영업/정상 322
49.8%

Length

2024-04-18T13:14:15.295367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:14:15.388407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 324
50.2%
영업/정상 322
49.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2
324 
1
322 

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 (%)
2 324
50.2%
1 322
49.8%

Length

2024-04-18T13:14:15.482652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:14:15.577306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 324
50.2%
1 322
49.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
폐업
324 
영업
322 

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 324
50.2%
영업 322
49.8%

Length

2024-04-18T13:14:15.672107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:14:15.756666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 324
50.2%
영업 322
49.8%

폐업일자
Date

MISSING 

Distinct302
Distinct (%)93.2%
Missing322
Missing (%)49.8%
Memory size5.2 KiB
Minimum2001-02-13 00:00:00
Maximum2023-04-03 00:00:00
2024-04-18T13:14:15.858400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T13:14:15.975641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing646
Missing (%)100.0%
Memory size5.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing646
Missing (%)100.0%
Memory size5.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing646
Missing (%)100.0%
Memory size5.8 KiB

소재지전화
Text

MISSING 

Distinct519
Distinct (%)94.4%
Missing96
Missing (%)14.9%
Memory size5.2 KiB
2024-04-18T13:14:16.226181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.105455
Min length7

Characters and Unicode

Total characters6108
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

Unique492 ?
Unique (%)89.5%

Sample

1st row053 4272228
2nd row053 2522111
3rd row053 4261234
4th row053 252 5601
5th row053 253 3800
ValueCountFrequency (%)
053 456
35.6%
986 9
 
0.7%
5601 8
 
0.6%
791 6
 
0.5%
625 5
 
0.4%
963 5
 
0.4%
381 5
 
0.4%
965 5
 
0.4%
784 5
 
0.4%
961 5
 
0.4%
Other values (621) 772
60.3%
2024-04-18T13:14:16.589510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 994
16.3%
5 966
15.8%
3 843
13.8%
737
12.1%
6 488
8.0%
2 393
 
6.4%
1 389
 
6.4%
9 365
 
6.0%
7 348
 
5.7%
8 329
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5371
87.9%
Space Separator 737
 
12.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 994
18.5%
5 966
18.0%
3 843
15.7%
6 488
9.1%
2 393
 
7.3%
1 389
 
7.2%
9 365
 
6.8%
7 348
 
6.5%
8 329
 
6.1%
4 256
 
4.8%
Space Separator
ValueCountFrequency (%)
737
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6108
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 994
16.3%
5 966
15.8%
3 843
13.8%
737
12.1%
6 488
8.0%
2 393
 
6.4%
1 389
 
6.4%
9 365
 
6.0%
7 348
 
5.7%
8 329
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6108
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 994
16.3%
5 966
15.8%
3 843
13.8%
737
12.1%
6 488
8.0%
2 393
 
6.4%
1 389
 
6.4%
9 365
 
6.0%
7 348
 
5.7%
8 329
 
5.4%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct539
Distinct (%)87.2%
Missing28
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean995.04087
Minimum0
Maximum25339.8
Zeros15
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-04-18T13:14:16.722489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile309.4745
Q1396.2325
median547.79
Q3838.4475
95-th percentile2622.624
Maximum25339.8
Range25339.8
Interquartile range (IQR)442.215

Descriptive statistics

Standard deviation1963.738
Coefficient of variation (CV)1.9735249
Kurtosis56.882719
Mean995.04087
Median Absolute Deviation (MAD)187.79
Skewness6.714854
Sum614935.26
Variance3856266.9
MonotonicityNot monotonic
2024-04-18T13:14:16.838163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 15
 
2.3%
495.0 5
 
0.8%
396.0 5
 
0.8%
450.0 4
 
0.6%
542.0 4
 
0.6%
300.0 3
 
0.5%
660.0 3
 
0.5%
792.0 3
 
0.5%
1650.0 3
 
0.5%
390.0 3
 
0.5%
Other values (529) 570
88.2%
(Missing) 28
 
4.3%
ValueCountFrequency (%)
0.0 15
2.3%
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 

Distinct274
Distinct (%)43.4%
Missing15
Missing (%)2.3%
Memory size5.2 KiB
2024-04-18T13:14:17.127166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters4417
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

Unique122 ?
Unique (%)19.3%

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
 
1.3%
711-812 8
 
1.3%
704-912 8
 
1.3%
711-852 8
 
1.3%
702-886 7
 
1.1%
706-839 7
 
1.1%
711-834 7
 
1.1%
711-815 7
 
1.1%
Other values (264) 550
87.2%
2024-04-18T13:14:17.559808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 831
18.8%
7 721
16.3%
- 631
14.3%
8 565
12.8%
1 439
9.9%
2 294
 
6.7%
4 281
 
6.4%
3 217
 
4.9%
6 186
 
4.2%
5 133
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3786
85.7%
Dash Punctuation 631
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 831
21.9%
7 721
19.0%
8 565
14.9%
1 439
11.6%
2 294
 
7.8%
4 281
 
7.4%
3 217
 
5.7%
6 186
 
4.9%
5 133
 
3.5%
9 119
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 631
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4417
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 831
18.8%
7 721
16.3%
- 631
14.3%
8 565
12.8%
1 439
9.9%
2 294
 
6.7%
4 281
 
6.4%
3 217
 
4.9%
6 186
 
4.2%
5 133
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4417
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 831
18.8%
7 721
16.3%
- 631
14.3%
8 565
12.8%
1 439
9.9%
2 294
 
6.7%
4 281
 
6.4%
3 217
 
4.9%
6 186
 
4.2%
5 133
 
3.0%

소재지전체주소
Text

Distinct563
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-04-18T13:14:17.878255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length42
Mean length23.540248
Min length17

Characters and Unicode

Total characters15207
Distinct characters235
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

Unique496 ?
Unique (%)76.8%

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 646
 
20.8%
달서구 156
 
5.0%
북구 108
 
3.5%
수성구 103
 
3.3%
동구 101
 
3.2%
달성군 88
 
2.8%
서구 37
 
1.2%
1층 35
 
1.1%
남구 33
 
1.1%
다사읍 29
 
0.9%
Other values (816) 1774
57.0%
2024-04-18T13:14:18.396554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3074
20.2%
구 1225
 
8.1%
1 849
 
5.6%
동 761
 
5.0%
대 707
 
4.6%
시 656
 
4.3%
역 648
 
4.3%
광 646
 
4.2%
- 440
 
2.9%
2 379
 
2.5%
Other values (225) 5822
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8349
54.9%
Decimal Number 3155
 
20.7%
Space Separator 3074
 
20.2%
Dash Punctuation 440
 
2.9%
Close Punctuation 54
 
0.4%
Open Punctuation 54
 
0.4%
Uppercase Letter 44
 
0.3%
Other Punctuation 33
 
0.2%
Math Symbol 3
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1225
14.7%
동 761
 
9.1%
대 707
 
8.5%
시 656
 
7.9%
역 648
 
7.8%
광 646
 
7.7%
성 249
 
3.0%
달 245
 
2.9%
서 230
 
2.8%
지 196
 
2.3%
Other values (195) 2786
33.4%
Uppercase Letter
ValueCountFrequency (%)
B 15
34.1%
A 14
31.8%
C 4
 
9.1%
S 2
 
4.5%
P 2
 
4.5%
O 1
 
2.3%
R 1
 
2.3%
E 1
 
2.3%
X 1
 
2.3%
K 1
 
2.3%
Other values (2) 2
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 849
26.9%
2 379
12.0%
0 343
10.9%
3 278
 
8.8%
5 263
 
8.3%
4 248
 
7.9%
7 219
 
6.9%
8 200
 
6.3%
9 191
 
6.1%
6 185
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 30
90.9%
. 3
 
9.1%
Space Separator
ValueCountFrequency (%)
3074
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 440
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 8349
54.9%
Common 6813
44.8%
Latin 45
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1225
14.7%
동 761
 
9.1%
대 707
 
8.5%
시 656
 
7.9%
역 648
 
7.8%
광 646
 
7.7%
성 249
 
3.0%
달 245
 
2.9%
서 230
 
2.8%
지 196
 
2.3%
Other values (195) 2786
33.4%
Common
ValueCountFrequency (%)
3074
45.1%
1 849
 
12.5%
- 440
 
6.5%
2 379
 
5.6%
0 343
 
5.0%
3 278
 
4.1%
5 263
 
3.9%
4 248
 
3.6%
7 219
 
3.2%
8 200
 
2.9%
Other values (7) 520
 
7.6%
Latin
ValueCountFrequency (%)
B 15
33.3%
A 14
31.1%
C 4
 
8.9%
S 2
 
4.4%
P 2
 
4.4%
O 1
 
2.2%
R 1
 
2.2%
E 1
 
2.2%
X 1
 
2.2%
e 1
 
2.2%
Other values (3) 3
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8349
54.9%
ASCII 6858
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3074
44.8%
1 849
 
12.4%
- 440
 
6.4%
2 379
 
5.5%
0 343
 
5.0%
3 278
 
4.1%
5 263
 
3.8%
4 248
 
3.6%
7 219
 
3.2%
8 200
 
2.9%
Other values (20) 565
 
8.2%
Hangul
ValueCountFrequency (%)
구 1225
14.7%
동 761
 
9.1%
대 707
 
8.5%
시 656
 
7.9%
역 648
 
7.8%
광 646
 
7.7%
성 249
 
3.0%
달 245
 
2.9%
서 230
 
2.8%
지 196
 
2.3%
Other values (195) 2786
33.4%

도로명전체주소
Text

MISSING 

Distinct498
Distinct (%)94.7%
Missing120
Missing (%)18.6%
Memory size5.2 KiB
2024-04-18T13:14:18.751073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length52
Mean length29.161597
Min length20

Characters and Unicode

Total characters15339
Distinct characters277
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

Unique472 ?
Unique (%)89.7%

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 526
 
16.8%
1층 154
 
4.9%
달서구 129
 
4.1%
수성구 87
 
2.8%
동구 86
 
2.8%
북구 80
 
2.6%
달성군 68
 
2.2%
서구 29
 
0.9%
남구 28
 
0.9%
지하1층 26
 
0.8%
Other values (879) 1910
61.2%
2024-04-18T13:14:19.257170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2597
 
16.9%
구 1060
 
6.9%
동 727
 
4.7%
1 725
 
4.7%
대 673
 
4.4%
시 543
 
3.5%
역 536
 
3.5%
광 527
 
3.4%
로 524
 
3.4%
) 493
 
3.2%
Other values (267) 6934
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8923
58.2%
Space Separator 2597
 
16.9%
Decimal Number 2293
 
14.9%
Close Punctuation 493
 
3.2%
Open Punctuation 493
 
3.2%
Other Punctuation 415
 
2.7%
Uppercase Letter 64
 
0.4%
Dash Punctuation 43
 
0.3%
Math Symbol 17
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1060
 
11.9%
동 727
 
8.1%
대 673
 
7.5%
시 543
 
6.1%
역 536
 
6.0%
광 527
 
5.9%
로 524
 
5.9%
달 248
 
2.8%
층 245
 
2.7%
성 234
 
2.6%
Other values (232) 3606
40.4%
Uppercase Letter
ValueCountFrequency (%)
A 21
32.8%
B 15
23.4%
C 7
 
10.9%
D 3
 
4.7%
S 2
 
3.1%
P 2
 
3.1%
T 2
 
3.1%
E 2
 
3.1%
R 2
 
3.1%
O 2
 
3.1%
Other values (6) 6
 
9.4%
Decimal Number
ValueCountFrequency (%)
1 725
31.6%
2 298
13.0%
0 227
 
9.9%
3 200
 
8.7%
4 176
 
7.7%
5 169
 
7.4%
6 155
 
6.8%
7 134
 
5.8%
8 105
 
4.6%
9 104
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 413
99.5%
. 2
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 16
94.1%
+ 1
 
5.9%
Space Separator
ValueCountFrequency (%)
2597
100.0%
Close Punctuation
ValueCountFrequency (%)
) 493
100.0%
Open Punctuation
ValueCountFrequency (%)
( 493
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8923
58.2%
Common 6351
41.4%
Latin 65
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1060
 
11.9%
동 727
 
8.1%
대 673
 
7.5%
시 543
 
6.1%
역 536
 
6.0%
광 527
 
5.9%
로 524
 
5.9%
달 248
 
2.8%
층 245
 
2.7%
성 234
 
2.6%
Other values (232) 3606
40.4%
Common
ValueCountFrequency (%)
2597
40.9%
1 725
 
11.4%
) 493
 
7.8%
( 493
 
7.8%
, 413
 
6.5%
2 298
 
4.7%
0 227
 
3.6%
3 200
 
3.1%
4 176
 
2.8%
5 169
 
2.7%
Other values (8) 560
 
8.8%
Latin
ValueCountFrequency (%)
A 21
32.3%
B 15
23.1%
C 7
 
10.8%
D 3
 
4.6%
S 2
 
3.1%
P 2
 
3.1%
T 2
 
3.1%
E 2
 
3.1%
R 2
 
3.1%
O 2
 
3.1%
Other values (7) 7
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8923
58.2%
ASCII 6416
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2597
40.5%
1 725
 
11.3%
) 493
 
7.7%
( 493
 
7.7%
, 413
 
6.4%
2 298
 
4.6%
0 227
 
3.5%
3 200
 
3.1%
4 176
 
2.7%
5 169
 
2.6%
Other values (25) 625
 
9.7%
Hangul
ValueCountFrequency (%)
구 1060
 
11.9%
동 727
 
8.1%
대 673
 
7.5%
시 543
 
6.1%
역 536
 
6.0%
광 527
 
5.9%
로 524
 
5.9%
달 248
 
2.8%
층 245
 
2.7%
성 234
 
2.6%
Other values (232) 3606
40.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct339
Distinct (%)65.1%
Missing125
Missing (%)19.3%
Infinite0
Infinite (%)0.0%
Mean42121.823
Minimum41002
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-04-18T13:14:19.405014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41002
5-th percentile41073
Q141511
median42198
Q342756
95-th percentile42974
Maximum43024
Range2022
Interquartile range (IQR)1245

Descriptive statistics

Standard deviation656.02448
Coefficient of variation (CV)0.015574456
Kurtosis-1.3466145
Mean42121.823
Median Absolute Deviation (MAD)596
Skewness-0.26632371
Sum21945470
Variance430368.12
MonotonicityNot monotonic
2024-04-18T13:14:19.570580image/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%
41412 4
 
0.6%
41044 4
 
0.6%
41427 4
 
0.6%
42974 4
 
0.6%
41087 4
 
0.6%
41446 4
 
0.6%
41570 3
 
0.5%
Other values (329) 477
73.8%
(Missing) 125
 
19.3%
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 (%)
43024 1
 
0.2%
43020 1
 
0.2%
43018 2
0.3%
43017 2
0.3%
43015 1
 
0.2%
43010 3
0.5%
43009 1
 
0.2%
43008 1
 
0.2%
43005 3
0.5%
43004 1
 
0.2%

사업장명
Text

Distinct540
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-04-18T13:14:19.825045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length8.2724458
Min length2

Characters and Unicode

Total characters5344
Distinct characters321
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

Unique499 ?
Unique (%)77.2%

Sample

1st row청라홈마트
2nd row홈마트
3rd row오케이(O.K)포인트마트
4th row나이스마트 대구역점
5th row주식회사 이랜드킴스클럽 쇼핑점
ValueCountFrequency (%)
대백마트 31
 
3.9%
나이스마트 20
 
2.5%
필마트 10
 
1.3%
홈마트 10
 
1.3%
드림마트 8
 
1.0%
파워마트 7
 
0.9%
주식회사 7
 
0.9%
롯데쇼핑(주)롯데슈퍼 7
 
0.9%
마트프라임 6
 
0.8%
빅마트 5
 
0.6%
Other values (572) 676
85.9%
2024-04-18T13:14:20.154584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 514
 
9.6%
마 496
 
9.3%
점 307
 
5.7%
( 216
 
4.0%
) 216
 
4.0%
대 172
 
3.2%
142
 
2.7%
주 141
 
2.6%
스 132
 
2.5%
이 125
 
2.3%
Other values (311) 2883
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4681
87.6%
Open Punctuation 216
 
4.0%
Close Punctuation 216
 
4.0%
Space Separator 142
 
2.7%
Uppercase Letter 58
 
1.1%
Lowercase Letter 13
 
0.2%
Decimal Number 7
 
0.1%
Dash Punctuation 5
 
0.1%
Other Punctuation 3
 
0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 514
 
11.0%
마 496
 
10.6%
점 307
 
6.6%
대 172
 
3.7%
주 141
 
3.0%
스 132
 
2.8%
이 125
 
2.7%
백 90
 
1.9%
구 73
 
1.6%
인 68
 
1.5%
Other values (273) 2563
54.8%
Uppercase Letter
ValueCountFrequency (%)
O 14
24.1%
K 13
22.4%
D 6
10.3%
S 5
 
8.6%
C 5
 
8.6%
G 3
 
5.2%
I 3
 
5.2%
T 2
 
3.4%
E 2
 
3.4%
M 1
 
1.7%
Other values (4) 4
 
6.9%
Lowercase Letter
ValueCountFrequency (%)
o 3
23.1%
l 2
15.4%
e 2
15.4%
d 1
 
7.7%
s 1
 
7.7%
f 1
 
7.7%
a 1
 
7.7%
w 1
 
7.7%
h 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
5 1
 
14.3%
6 1
 
14.3%
3 1
 
14.3%
1 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
! 1
33.3%
. 1
33.3%
& 1
33.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 216
100.0%
Close Punctuation
ValueCountFrequency (%)
) 216
100.0%
Space Separator
ValueCountFrequency (%)
142
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4682
87.6%
Common 589
 
11.0%
Latin 73
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 514
 
11.0%
마 496
 
10.6%
점 307
 
6.6%
대 172
 
3.7%
주 141
 
3.0%
스 132
 
2.8%
이 125
 
2.7%
백 90
 
1.9%
구 73
 
1.6%
인 68
 
1.5%
Other values (274) 2564
54.8%
Latin
ValueCountFrequency (%)
O 14
19.2%
K 13
17.8%
D 6
 
8.2%
S 5
 
6.8%
C 5
 
6.8%
o 3
 
4.1%
G 3
 
4.1%
I 3
 
4.1%
l 2
 
2.7%
e 2
 
2.7%
Other values (15) 17
23.3%
Common
ValueCountFrequency (%)
( 216
36.7%
) 216
36.7%
142
24.1%
- 5
 
0.8%
2 3
 
0.5%
! 1
 
0.2%
5 1
 
0.2%
6 1
 
0.2%
3 1
 
0.2%
. 1
 
0.2%
Other values (2) 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4681
87.6%
ASCII 660
 
12.4%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 514
 
11.0%
마 496
 
10.6%
점 307
 
6.6%
대 172
 
3.7%
주 141
 
3.0%
스 132
 
2.8%
이 125
 
2.7%
백 90
 
1.9%
구 73
 
1.6%
인 68
 
1.5%
Other values (273) 2563
54.8%
ASCII
ValueCountFrequency (%)
( 216
32.7%
) 216
32.7%
142
21.5%
O 14
 
2.1%
K 13
 
2.0%
D 6
 
0.9%
- 5
 
0.8%
S 5
 
0.8%
C 5
 
0.8%
2 3
 
0.5%
Other values (25) 35
 
5.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

최종수정시점
Date

Distinct627
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum2001-08-23 00:00:00
Maximum2023-05-30 16:25:35
2024-04-18T13:14:20.275997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T13:14:20.401853image/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 size5.2 KiB
I
372 
U
274 

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 372
57.6%
U 274
42.4%

Length

2024-04-18T13:14:20.522774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:14:20.614448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 372
57.6%
u 274
42.4%

데이터갱신일자
Date

Distinct248
Distinct (%)38.4%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-06-01 02:40:00
2024-04-18T13:14:20.711578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T13:14:20.844845image/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 size5.2 KiB
기타식품판매업
646 

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 646
100.0%

Length

2024-04-18T13:14:21.249817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:14:21.380361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 646
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct473
Distinct (%)74.6%
Missing12
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean342495.04
Minimum327363.83
Maximum357881.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-04-18T13:14:21.487219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327363.83
5-th percentile331476.59
Q1338429.68
median341224.39
Q3346856.01
95-th percentile354378.43
Maximum357881.33
Range30517.501
Interquartile range (IQR)8426.327

Descriptive statistics

Standard deviation6517.7439
Coefficient of variation (CV)0.019030185
Kurtosis-0.45912209
Mean342495.04
Median Absolute Deviation (MAD)4405.8841
Skewness0.18387595
Sum2.1714185 × 108
Variance42480986
MonotonicityNot monotonic
2024-04-18T13:14:21.625235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339180.112254152 5
 
0.8%
347826.817028935 4
 
0.6%
348304.264728808 4
 
0.6%
338678.797272666 4
 
0.6%
338300.745101101 4
 
0.6%
355759.028695703 4
 
0.6%
345967.428447026 4
 
0.6%
340547.780848207 3
 
0.5%
338899.41279497 3
 
0.5%
344654.240920516 3
 
0.5%
Other values (463) 596
92.3%
(Missing) 12
 
1.9%
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 

Distinct473
Distinct (%)74.6%
Missing12
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean262561.5
Minimum240452.6
Maximum274053.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-04-18T13:14:21.750273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240452.6
5-th percentile254185.18
Q1259939.71
median262917.28
Q3265461.42
95-th percentile271678.35
Maximum274053.96
Range33601.362
Interquartile range (IQR)5521.7117

Descriptive statistics

Standard deviation5724.4943
Coefficient of variation (CV)0.021802489
Kurtosis2.8274908
Mean262561.5
Median Absolute Deviation (MAD)2783.2484
Skewness-1.1047582
Sum1.6646399 × 108
Variance32769835
MonotonicityNot monotonic
2024-04-18T13:14:21.868305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
271678.34729922 5
 
0.8%
267363.246963872 4
 
0.6%
259445.17112843 4
 
0.6%
260540.364298043 4
 
0.6%
259066.123687973 4
 
0.6%
264357.76825185 4
 
0.6%
268444.938565273 4
 
0.6%
271944.939697366 3
 
0.5%
257234.537084558 3
 
0.5%
270187.609416909 3
 
0.5%
Other values (463) 596
92.3%
(Missing) 12
 
1.9%
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 (%)
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%
273119.603299587 2
0.3%
273102.354233264 1
0.2%
272935.03495749 1
0.2%
272735.675659876 1
0.2%
272706.306988309 2
0.3%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
기타식품판매업
646 

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 646
100.0%

Length

2024-04-18T13:14:22.912859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:14:22.991279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 646
100.0%

남성종사자수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
545 
0
101 

Length

Max length4
Median length4
Mean length3.5309598
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 545
84.4%
0 101
 
15.6%

Length

2024-04-18T13:14:23.077833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:14:23.162841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 545
84.4%
0 101
 
15.6%

여성종사자수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
545 
0
101 

Length

Max length4
Median length4
Mean length3.5309598
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 545
84.4%
0 101
 
15.6%

Length

2024-04-18T13:14:23.272776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:14:23.376917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 545
84.4%
0 101
 
15.6%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing646
Missing (%)100.0%
Memory size5.8 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing646
Missing (%)100.0%
Memory size5.8 KiB

급수시설구분명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
416 
상수도전용
229 
상수도(음용)지하수(주방용)겸용
 
1

Length

Max length17
Median length4
Mean length4.374613
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> 416
64.4%
상수도전용 229
35.4%
상수도(음용)지하수(주방용)겸용 1
 
0.2%

Length

2024-04-18T13:14:23.476927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:14:23.582863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 416
64.4%
상수도전용 229
35.4%
상수도(음용)지하수(주방용)겸용 1
 
0.2%

총직원수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
546 
0
100 

Length

Max length4
Median length4
Mean length3.5356037
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 546
84.5%
0 100
 
15.5%

Length

2024-04-18T13:14:23.682755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:14:23.773604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 546
84.5%
0 100
 
15.5%

본사직원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
0
528 
<NA>
116 
80
 
1
5
 
1

Length

Max length4
Median length1
Mean length1.5402477
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 528
81.7%
<NA> 116
 
18.0%
80 1
 
0.2%
5 1
 
0.2%

Length

2024-04-18T13:14:23.880633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:14:23.979361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 528
81.7%
na 116
 
18.0%
80 1
 
0.2%
5 1
 
0.2%

공장사무직직원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7
Distinct (%)1.3%
Missing116
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.25471698
Minimum0
Maximum80
Zeros500
Zeros (%)77.4%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-04-18T13:14:24.073370image/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 deviation3.5141123
Coefficient of variation (CV)13.796145
Kurtosis504.06064
Mean0.25471698
Median Absolute Deviation (MAD)0
Skewness22.204233
Sum135
Variance12.348985
MonotonicityNot monotonic
2024-04-18T13:14:24.197509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 500
77.4%
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) 116
 
18.0%
ValueCountFrequency (%)
0 500
77.4%
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%
0 500
77.4%

공장판매직직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)3.0%
Missing116
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean0.68490566
Minimum0
Maximum46
Zeros488
Zeros (%)75.5%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-04-18T13:14:24.314169image/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 deviation3.3852731
Coefficient of variation (CV)4.9426853
Kurtosis80.508558
Mean0.68490566
Median Absolute Deviation (MAD)0
Skewness7.8777877
Sum363
Variance11.460074
MonotonicityNot monotonic
2024-04-18T13:14:24.409782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 488
75.5%
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) 116
 
18.0%
ValueCountFrequency (%)
0 488
75.5%
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 size5.2 KiB
0
526 
<NA>
116 
3
 
1
80
 
1
2
 
1

Length

Max length4
Median length1
Mean length1.5402477
Min length1

Unique

Unique4 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 526
81.4%
<NA> 116
 
18.0%
3 1
 
0.2%
80 1
 
0.2%
2 1
 
0.2%
6 1
 
0.2%

Length

2024-04-18T13:14:24.525010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:14:24.641706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 526
81.4%
na 116
 
18.0%
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 size5.2 KiB
<NA>
422 
자가
137 
임대
87 

Length

Max length4
Median length4
Mean length3.3065015
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> 422
65.3%
자가 137
 
21.2%
임대 87
 
13.5%

Length

2024-04-18T13:14:24.748318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:14:24.841046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 422
65.3%
자가 137
 
21.2%
임대 87
 
13.5%

보증액
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
542 
0
103 
40000000
 
1

Length

Max length8
Median length4
Mean length3.5278638
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 542
83.9%
0 103
 
15.9%
40000000 1
 
0.2%

Length

2024-04-18T13:14:24.940882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:14:25.035147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 542
83.9%
0 103
 
15.9%
40000000 1
 
0.2%

월세액
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
542 
0
103 
1000000
 
1

Length

Max length7
Median length4
Mean length3.5263158
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 542
83.9%
0 103
 
15.9%
1000000 1
 
0.2%

Length

2024-04-18T13:14:25.128461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:14:25.216583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 542
83.9%
0 103
 
15.9%
1000000 1
 
0.2%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size778.0 B
False
646 
ValueCountFrequency (%)
False 646
100.0%
2024-04-18T13:14:25.291329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

SKEWED  ZEROS 

Distinct67
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.617121
Minimum0
Maximum15160
Zeros576
Zeros (%)89.2%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-04-18T13:14:25.386396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile34.725
Maximum15160
Range15160
Interquartile range (IQR)0

Descriptive statistics

Standard deviation620.16841
Coefficient of variation (CV)12.756173
Kurtosis549.95399
Mean48.617121
Median Absolute Deviation (MAD)0
Skewness22.773399
Sum31406.66
Variance384608.85
MonotonicityNot monotonic
2024-04-18T13:14:25.514931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 576
89.2%
10.54 2
 
0.3%
30.0 2
 
0.3%
13.2 2
 
0.3%
3.3 2
 
0.3%
613.45 1
 
0.2%
1153.87 1
 
0.2%
852.8 1
 
0.2%
12.25 1
 
0.2%
7.4 1
 
0.2%
Other values (57) 57
 
8.8%
ValueCountFrequency (%)
0.0 576
89.2%
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%
1153.87 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%
687.36 1
0.2%
630.0 1
0.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing646
Missing (%)100.0%
Memory size5.8 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing646
Missing (%)100.0%
Memory size5.8 KiB

홈페이지
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
<NA>
645 
14
 
1

Length

Max length4
Median length4
Mean length3.996904
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> 645
99.8%
14 1
 
0.2%

Length

2024-04-18T13:14:25.636338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T13:14:25.726025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 645
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
636637식품판매업(기타)07_22_13_P34800003480000-114-2008-000042008-09-10<NA>3폐업2폐업2010-07-08<NA><NA><NA>053 9824382449.0711-813대구광역시 달성군 다사읍 서재리 91 외 1필지<NA><NA>서재마트2010-03-17 11:46:12I2018-08-31 23:59:59기타식품판매업335126.439535264967.821838기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
637638식품판매업(기타)07_22_13_P34800003480000-114-2009-000012009-05-25<NA>3폐업2폐업2019-11-07<NA><NA><NA>053 588 4722338.94711-813대구광역시 달성군 다사읍 서재리 139-1 외1필지<NA><NA>뉴하나로마트2019-11-07 17:04:34U2019-11-09 02:40:00기타식품판매업335186.778586265044.867747기타식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
638639식품판매업(기타)07_22_13_P34800003480000-114-2010-000012010-08-31<NA>3폐업2폐업2016-09-08<NA><NA><NA>053 634 0614313.6711-834대구광역시 달성군 화원읍 천내리 121-3대구광역시 달성군 화원읍 비슬로 257542955화원농협하나로마트2015-03-26 14:27:37I2018-08-31 23:59:59기타식품판매업335381.734613257015.938227기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
639640식품판매업(기타)07_22_13_P34800003480000-114-2009-000042009-11-17<NA>3폐업2폐업2009-11-25<NA><NA><NA>053 637 5114<NA>711-834대구광역시 달성군 화원읍 천내리 188<NA><NA>내고장할인마트2009-11-17 17:11:45I2018-08-31 23:59:59기타식품판매업335232.54353257248.239751기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
640641식품판매업(기타)07_22_13_P34800003480000-114-2011-000012011-03-16<NA>3폐업2폐업2017-11-13<NA><NA><NA>053 768 3911509.12711-864대구광역시 달성군 가창면 용계리 28-2 외2필지(1층)대구광역시 달성군 가창면 가창로 112742933롯데쇼핑(주)롯데슈퍼점2017-11-13 14:18:00I2018-08-31 23:59:59기타식품판매업346605.927424257220.331672기타식품판매업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
641642식품판매업(기타)07_22_13_P34800003480000-114-2012-000012012-08-22<NA>3폐업2폐업2015-09-11<NA><NA><NA>053 641 8282826.71711-815대구광역시 달성군 다사읍 죽곡리 808-6대구광역시 달성군 다사읍 죽곡1길 7-842918나이스마트2014-07-14 17:51:37I2018-08-31 23:59:59기타식품판매업332227.145212262912.161541기타식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
642643식품판매업(기타)07_22_13_P34800003480000-114-2010-000022010-09-06<NA>3폐업2폐업2015-09-08<NA><NA><NA>053 5845707548.58711-812대구광역시 달성군 다사읍 매곡리 1549-3대구광역시 달성군 다사읍 대실역북로 842913오케이 포인트 마트 다사 죽곡점2013-06-26 17:24:37I2018-08-31 23:59:59기타식품판매업332427.43761262949.607187기타식품판매업<NA><NA><NA><NA>상수도전용<NA>0000자가<NA><NA>N10.0<NA><NA><NA>
643644식품판매업(기타)07_22_13_P34800003480000-114-2010-000032010-10-19<NA>3폐업2폐업2015-12-08<NA><NA><NA>053 617 4114774.12711-852대구광역시 달성군 논공읍 남리 577-2<NA><NA>푸드 뱅크 식자재2012-12-17 14:03:19I2018-08-31 23:59:59기타식품판매업330882.16849248312.094462기타식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
644645식품판매업(기타)07_22_13_P34800003480000-114-2010-000042010-12-02<NA>3폐업2폐업2020-07-02<NA><NA><NA>053 586 1201402.87711-812대구광역시 달성군 다사읍 매곡리 515대구광역시 달성군 다사읍 다사역로 5842909필마트(다사점)2020-07-02 13:37:26U2020-07-04 02:40:00기타식품판매업331526.393644263991.41136기타식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
645646식품판매업(기타)07_22_13_P34800003480000-114-2015-000042015-09-04<NA>3폐업2폐업2017-01-12<NA><NA><NA>053 636 8288884.52711-837대구광역시 달성군 화원읍 천내리 82대구광역시 달성군 화원읍 화원로1길 45-6, 1층42955오케이식자재마트(본점)2015-09-10 14:21:15I2018-08-31 23:59:59기타식품판매업335345.042644257032.636665기타식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N10.54<NA><NA><NA>