Overview

Dataset statistics

Number of variables47
Number of observations2221
Missing cells22206
Missing cells (%)21.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory874.2 KiB
Average record size in memory403.1 B

Variable types

Numeric8
Categorical20
Text6
DateTime4
Unsupported8
Boolean1

Dataset

Description23년09월_6270000_대구광역시_07_22_08_P_식품소분업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000100896&dataSetDetailId=DDI_0000100932&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (99.4%)Imbalance
위생업태명 is highly imbalanced (99.4%)Imbalance
본사직원수 is highly imbalanced (61.1%)Imbalance
공장사무직직원수 is highly imbalanced (60.7%)Imbalance
공장판매직직원수 is highly imbalanced (52.9%)Imbalance
월세액 is highly imbalanced (68.7%)Imbalance
홈페이지 is highly imbalanced (99.4%)Imbalance
인허가취소일자 has 2221 (100.0%) missing valuesMissing
폐업일자 has 551 (24.8%) missing valuesMissing
휴업시작일자 has 2221 (100.0%) missing valuesMissing
휴업종료일자 has 2221 (100.0%) missing valuesMissing
재개업일자 has 2221 (100.0%) missing valuesMissing
소재지전화 has 873 (39.3%) missing valuesMissing
소재지면적 has 348 (15.7%) missing valuesMissing
소재지우편번호 has 43 (1.9%) missing valuesMissing
도로명전체주소 has 910 (41.0%) missing valuesMissing
도로명우편번호 has 921 (41.5%) missing valuesMissing
좌표정보(X) has 106 (4.8%) missing valuesMissing
좌표정보(Y) has 106 (4.8%) missing valuesMissing
영업장주변구분명 has 2221 (100.0%) missing valuesMissing
등급구분명 has 2221 (100.0%) missing valuesMissing
공장생산직직원수 has 576 (25.9%) missing valuesMissing
전통업소지정번호 has 2221 (100.0%) missing valuesMissing
전통업소주된음식 has 2221 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 55 (2.5%) zerosZeros
공장생산직직원수 has 1441 (64.9%) zerosZeros
시설총규모 has 2121 (95.5%) zerosZeros

Reproduction

Analysis started2023-10-21 05:55:43.448560
Analysis finished2023-10-21 05:55:48.590297
Duration5.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2221
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1111
Minimum1
Maximum2221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2023-10-21T05:55:49.069949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile112
Q1556
median1111
Q31666
95-th percentile2110
Maximum2221
Range2220
Interquartile range (IQR)1110

Descriptive statistics

Standard deviation641.2918
Coefficient of variation (CV)0.57722034
Kurtosis-1.2
Mean1111
Median Absolute Deviation (MAD)555
Skewness0
Sum2467531
Variance411255.17
MonotonicityStrictly increasing
2023-10-21T05:55:50.108607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1484 1
 
< 0.1%
1478 1
 
< 0.1%
1479 1
 
< 0.1%
1480 1
 
< 0.1%
1481 1
 
< 0.1%
1482 1
 
< 0.1%
1483 1
 
< 0.1%
1485 1
 
< 0.1%
1493 1
 
< 0.1%
Other values (2211) 2211
99.5%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2221 1
< 0.1%
2220 1
< 0.1%
2219 1
< 0.1%
2218 1
< 0.1%
2217 1
< 0.1%
2216 1
< 0.1%
2215 1
< 0.1%
2214 1
< 0.1%
2213 1
< 0.1%
2212 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
식품소분업
2221 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품소분업 2221
100.0%

Length

2023-10-21T05:55:51.196773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:55:51.639828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품소분업 2221
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
07_22_08_P
2221 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_08_P
2nd row07_22_08_P
3rd row07_22_08_P
4th row07_22_08_P
5th row07_22_08_P

Common Values

ValueCountFrequency (%)
07_22_08_P 2221
100.0%

Length

2023-10-21T05:55:52.369148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:55:52.761420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_08_p 2221
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3462475.9
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2023-10-21T05:55:53.204434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation157428.73
Coefficient of variation (CV)0.045467096
Kurtosis107.90238
Mean3462475.9
Median Absolute Deviation (MAD)20000
Skewness10.376184
Sum7.690159 × 109
Variance2.4783804 × 1010
MonotonicityIncreasing
2023-10-21T05:55:53.970560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3450000 486
21.9%
3470000 414
18.6%
3460000 318
14.3%
3420000 256
11.5%
3410000 219
9.9%
3480000 188
 
8.5%
3430000 187
 
8.4%
3440000 134
 
6.0%
5141000 19
 
0.9%
ValueCountFrequency (%)
3410000 219
9.9%
3420000 256
11.5%
3430000 187
 
8.4%
3440000 134
 
6.0%
3450000 486
21.9%
3460000 318
14.3%
3470000 414
18.6%
3480000 188
 
8.5%
5141000 19
 
0.9%
ValueCountFrequency (%)
5141000 19
 
0.9%
3480000 188
 
8.5%
3470000 414
18.6%
3460000 318
14.3%
3450000 486
21.9%
3440000 134
 
6.0%
3430000 187
 
8.4%
3420000 256
11.5%
3410000 219
9.9%

관리번호
Text

UNIQUE 

Distinct2221
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
2023-10-21T05:55:54.759362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters48862
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

Unique2221 ?
Unique (%)100.0%

Sample

1st row3410000-109-2008-00008
2nd row3410000-109-2008-00009
3rd row3410000-109-2008-00010
4th row3410000-109-2008-00011
5th row3410000-109-2005-00003
ValueCountFrequency (%)
3410000-109-2008-00008 1
 
< 0.1%
3460000-109-2013-00011 1
 
< 0.1%
3460000-109-2012-00006 1
 
< 0.1%
3460000-109-2014-00003 1
 
< 0.1%
3460000-109-2014-00002 1
 
< 0.1%
3460000-109-2014-00001 1
 
< 0.1%
3460000-109-2016-00010 1
 
< 0.1%
3460000-109-2014-00004 1
 
< 0.1%
3460000-109-2014-00005 1
 
< 0.1%
3460000-109-2014-00016 1
 
< 0.1%
Other values (2211) 2211
99.5%
2023-10-21T05:55:56.518523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 22776
46.6%
- 6663
 
13.6%
1 4540
 
9.3%
2 3329
 
6.8%
3 2965
 
6.1%
4 2862
 
5.9%
9 2764
 
5.7%
5 952
 
1.9%
7 757
 
1.5%
6 734
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42199
86.4%
Dash Punctuation 6663
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22776
54.0%
1 4540
 
10.8%
2 3329
 
7.9%
3 2965
 
7.0%
4 2862
 
6.8%
9 2764
 
6.5%
5 952
 
2.3%
7 757
 
1.8%
6 734
 
1.7%
8 520
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 6663
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48862
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 22776
46.6%
- 6663
 
13.6%
1 4540
 
9.3%
2 3329
 
6.8%
3 2965
 
6.1%
4 2862
 
5.9%
9 2764
 
5.7%
5 952
 
1.9%
7 757
 
1.5%
6 734
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48862
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 22776
46.6%
- 6663
 
13.6%
1 4540
 
9.3%
2 3329
 
6.8%
3 2965
 
6.1%
4 2862
 
5.9%
9 2764
 
5.7%
5 952
 
1.9%
7 757
 
1.5%
6 734
 
1.5%

인허가일자
Date

Distinct1787
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
Minimum1979-05-23 00:00:00
Maximum2023-09-26 00:00:00
2023-10-21T05:55:57.591949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:55:58.625757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2221
Missing (%)100.0%
Memory size19.6 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
3
1670 
1
551 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1670
75.2%
1 551
 
24.8%

Length

2023-10-21T05:55:59.513905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:56:00.025925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1670
75.2%
1 551
 
24.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
폐업
1670 
영업/정상
551 

Length

Max length5
Median length2
Mean length2.7442593
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1670
75.2%
영업/정상 551
 
24.8%

Length

2023-10-21T05:56:00.618356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:56:01.467579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1670
75.2%
영업/정상 551
 
24.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
2
1670 
1
551 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1670
75.2%
1 551
 
24.8%

Length

2023-10-21T05:56:02.076379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:56:02.936067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1670
75.2%
1 551
 
24.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
폐업
1670 
영업
551 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1670
75.2%
영업 551
 
24.8%

Length

2023-10-21T05:56:03.496014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:56:04.029730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1670
75.2%
영업 551
 
24.8%

폐업일자
Date

MISSING 

Distinct1313
Distinct (%)78.6%
Missing551
Missing (%)24.8%
Memory size17.5 KiB
Minimum2000-09-19 00:00:00
Maximum2023-09-21 00:00:00
2023-10-21T05:56:04.762146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:56:05.792756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2221
Missing (%)100.0%
Memory size19.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2221
Missing (%)100.0%
Memory size19.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2221
Missing (%)100.0%
Memory size19.6 KiB

소재지전화
Text

MISSING 

Distinct1227
Distinct (%)91.0%
Missing873
Missing (%)39.3%
Memory size17.5 KiB
2023-10-21T05:56:06.558064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.614985
Min length6

Characters and Unicode

Total characters14309
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

Unique1140 ?
Unique (%)84.6%

Sample

1st row053 322 4905
2nd row053 752 1119
3rd row053 4261355
4th row053 2531258
5th row053 2542877
ValueCountFrequency (%)
053 929
32.8%
070 30
 
1.1%
054 19
 
0.7%
312 13
 
0.5%
1234 10
 
0.4%
313 9
 
0.3%
6602001 8
 
0.3%
322 8
 
0.3%
765 7
 
0.2%
986 7
 
0.2%
Other values (1385) 1794
63.3%
2023-10-21T05:56:08.496040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2254
15.8%
5 2173
15.2%
3 1994
13.9%
1495
10.4%
2 1115
7.8%
6 1036
7.2%
1 944
6.6%
7 925
6.5%
8 854
 
6.0%
4 834
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12814
89.6%
Space Separator 1495
 
10.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2254
17.6%
5 2173
17.0%
3 1994
15.6%
2 1115
8.7%
6 1036
8.1%
1 944
7.4%
7 925
7.2%
8 854
 
6.7%
4 834
 
6.5%
9 685
 
5.3%
Space Separator
ValueCountFrequency (%)
1495
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14309
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2254
15.8%
5 2173
15.2%
3 1994
13.9%
1495
10.4%
2 1115
7.8%
6 1036
7.2%
1 944
6.6%
7 925
6.5%
8 854
 
6.0%
4 834
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14309
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2254
15.8%
5 2173
15.2%
3 1994
13.9%
1495
10.4%
2 1115
7.8%
6 1036
7.2%
1 944
6.6%
7 925
6.5%
8 854
 
6.0%
4 834
 
5.8%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct931
Distinct (%)49.7%
Missing348
Missing (%)15.7%
Infinite0
Infinite (%)0.0%
Mean37.033652
Minimum0
Maximum3025
Zeros55
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2023-10-21T05:56:09.528351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16.6
median16.6
Q337.8
95-th percentile123.42
Maximum3025
Range3025
Interquartile range (IQR)31.2

Descriptive statistics

Standard deviation94.742521
Coefficient of variation (CV)2.5582819
Kurtosis543.49134
Mean37.033652
Median Absolute Deviation (MAD)12.6
Skewness18.94799
Sum69364.03
Variance8976.1452
MonotonicityNot monotonic
2023-10-21T05:56:10.653842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 55
 
2.5%
3.3 42
 
1.9%
6.0 41
 
1.8%
4.0 38
 
1.7%
6.6 36
 
1.6%
3.0 31
 
1.4%
33.0 28
 
1.3%
12.0 28
 
1.3%
15.0 27
 
1.2%
10.0 27
 
1.2%
Other values (921) 1520
68.4%
(Missing) 348
 
15.7%
ValueCountFrequency (%)
0.0 55
2.5%
0.3 1
 
< 0.1%
0.72 1
 
< 0.1%
0.8 1
 
< 0.1%
0.9 1
 
< 0.1%
0.94 1
 
< 0.1%
1.0 3
 
0.1%
1.1 1
 
< 0.1%
1.2 1
 
< 0.1%
1.21 1
 
< 0.1%
ValueCountFrequency (%)
3025.0 1
< 0.1%
997.48 1
< 0.1%
980.39 1
< 0.1%
768.27 1
< 0.1%
632.75 1
< 0.1%
572.42 1
< 0.1%
491.04 1
< 0.1%
485.9 1
< 0.1%
470.0 1
< 0.1%
435.93 1
< 0.1%

소재지우편번호
Text

MISSING 

Distinct475
Distinct (%)21.8%
Missing43
Missing (%)1.9%
Memory size17.5 KiB
2023-10-21T05:56:12.004918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters15246
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

Unique129 ?
Unique (%)5.9%

Sample

1st row700-111
2nd row700-070
3rd row700-718
4th row700-092
5th row700-826
ValueCountFrequency (%)
702-825 66
 
3.0%
704-923 56
 
2.6%
702-746 32
 
1.5%
704-722 30
 
1.4%
700-718 27
 
1.2%
700-811 26
 
1.2%
700-070 24
 
1.1%
702-853 23
 
1.1%
706-170 22
 
1.0%
711-852 22
 
1.0%
Other values (465) 1850
84.9%
2023-10-21T05:56:13.807683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3167
20.8%
7 2575
16.9%
- 2178
14.3%
8 1747
11.5%
2 1210
 
7.9%
1 1191
 
7.8%
3 847
 
5.6%
4 800
 
5.2%
6 653
 
4.3%
5 498
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13068
85.7%
Dash Punctuation 2178
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3167
24.2%
7 2575
19.7%
8 1747
13.4%
2 1210
 
9.3%
1 1191
 
9.1%
3 847
 
6.5%
4 800
 
6.1%
6 653
 
5.0%
5 498
 
3.8%
9 380
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 2178
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15246
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3167
20.8%
7 2575
16.9%
- 2178
14.3%
8 1747
11.5%
2 1210
 
7.9%
1 1191
 
7.8%
3 847
 
5.6%
4 800
 
5.2%
6 653
 
4.3%
5 498
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15246
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3167
20.8%
7 2575
16.9%
- 2178
14.3%
8 1747
11.5%
2 1210
 
7.9%
1 1191
 
7.8%
3 847
 
5.6%
4 800
 
5.2%
6 653
 
4.3%
5 498
 
3.3%

소재지전체주소
Text

Distinct1882
Distinct (%)84.9%
Missing4
Missing (%)0.2%
Memory size17.5 KiB
2023-10-21T05:56:15.312651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length44
Mean length24.41272
Min length15

Characters and Unicode

Total characters54123
Distinct characters311
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1708 ?
Unique (%)77.0%

Sample

1st row대구광역시 중구 태평로1가 0023-0001 77태평아파트상가1동2층 3호
2nd row대구광역시 중구 덕산동 0053-0003 (지하1층)
3rd row대구광역시 중구 대봉동 0214 대백프라자 지하1층
4th row대구광역시 중구 동성로2가 0174
5th row대구광역시 중구 남산동 2109-0001
ValueCountFrequency (%)
대구광역시 2217
 
20.9%
북구 486
 
4.6%
달서구 412
 
3.9%
수성구 317
 
3.0%
동구 257
 
2.4%
중구 219
 
2.1%
달성군 188
 
1.8%
서구 187
 
1.8%
남구 132
 
1.2%
1층 132
 
1.2%
Other values (2226) 6038
57.0%
2023-10-21T05:56:17.662619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10565
19.5%
구 4327
 
8.0%
1 2745
 
5.1%
대 2560
 
4.7%
동 2548
 
4.7%
시 2277
 
4.2%
역 2220
 
4.1%
광 2219
 
4.1%
0 1899
 
3.5%
- 1683
 
3.1%
Other values (301) 21080
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29215
54.0%
Decimal Number 11930
22.0%
Space Separator 10565
 
19.5%
Dash Punctuation 1683
 
3.1%
Open Punctuation 256
 
0.5%
Close Punctuation 252
 
0.5%
Other Punctuation 111
 
0.2%
Uppercase Letter 105
 
0.2%
Math Symbol 4
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4327
14.8%
대 2560
 
8.8%
동 2548
 
8.7%
시 2277
 
7.8%
역 2220
 
7.6%
광 2219
 
7.6%
성 815
 
2.8%
서 695
 
2.4%
달 639
 
2.2%
지 616
 
2.1%
Other values (269) 10299
35.3%
Uppercase Letter
ValueCountFrequency (%)
A 55
52.4%
B 34
32.4%
C 5
 
4.8%
S 2
 
1.9%
T 2
 
1.9%
K 1
 
1.0%
D 1
 
1.0%
G 1
 
1.0%
P 1
 
1.0%
L 1
 
1.0%
Other values (2) 2
 
1.9%
Decimal Number
ValueCountFrequency (%)
1 2745
23.0%
0 1899
15.9%
2 1550
13.0%
3 1158
9.7%
5 1018
 
8.5%
4 808
 
6.8%
7 745
 
6.2%
6 735
 
6.2%
8 663
 
5.6%
9 609
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 100
90.1%
. 10
 
9.0%
@ 1
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
b 1
50.0%
Space Separator
ValueCountFrequency (%)
10565
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1683
100.0%
Open Punctuation
ValueCountFrequency (%)
( 256
100.0%
Close Punctuation
ValueCountFrequency (%)
) 252
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29213
54.0%
Common 24801
45.8%
Latin 107
 
0.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4327
14.8%
대 2560
 
8.8%
동 2548
 
8.7%
시 2277
 
7.8%
역 2220
 
7.6%
광 2219
 
7.6%
성 815
 
2.8%
서 695
 
2.4%
달 639
 
2.2%
지 616
 
2.1%
Other values (268) 10297
35.2%
Common
ValueCountFrequency (%)
10565
42.6%
1 2745
 
11.1%
0 1899
 
7.7%
- 1683
 
6.8%
2 1550
 
6.2%
3 1158
 
4.7%
5 1018
 
4.1%
4 808
 
3.3%
7 745
 
3.0%
6 735
 
3.0%
Other values (8) 1895
 
7.6%
Latin
ValueCountFrequency (%)
A 55
51.4%
B 34
31.8%
C 5
 
4.7%
S 2
 
1.9%
T 2
 
1.9%
K 1
 
0.9%
D 1
 
0.9%
e 1
 
0.9%
G 1
 
0.9%
P 1
 
0.9%
Other values (4) 4
 
3.7%
Han
ValueCountFrequency (%)
內 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29213
54.0%
ASCII 24908
46.0%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10565
42.4%
1 2745
 
11.0%
0 1899
 
7.6%
- 1683
 
6.8%
2 1550
 
6.2%
3 1158
 
4.6%
5 1018
 
4.1%
4 808
 
3.2%
7 745
 
3.0%
6 735
 
3.0%
Other values (22) 2002
 
8.0%
Hangul
ValueCountFrequency (%)
구 4327
14.8%
대 2560
 
8.8%
동 2548
 
8.7%
시 2277
 
7.8%
역 2220
 
7.6%
광 2219
 
7.6%
성 815
 
2.8%
서 695
 
2.4%
달 639
 
2.2%
지 616
 
2.1%
Other values (268) 10297
35.2%
CJK
ValueCountFrequency (%)
內 2
100.0%

도로명전체주소
Text

MISSING 

Distinct1262
Distinct (%)96.3%
Missing910
Missing (%)41.0%
Memory size17.5 KiB
2023-10-21T05:56:19.893273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length51
Mean length29.346301
Min length19

Characters and Unicode

Total characters38473
Distinct characters324
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

Unique1222 ?
Unique (%)93.2%

Sample

1st row대구광역시 중구 달구벌대로 2085 (덕산동, 지하1층)
2nd row대구광역시 중구 달구벌대로443길 40 (삼덕동3가)
3rd row대구광역시 중구 남성로 40-1, 2층 (남성로)
4th row대구광역시 중구 동덕로 115 (삼덕동2가, 진석타워 902호(S7호))
5th row대구광역시 중구 큰장로26길 18 (대신동)
ValueCountFrequency (%)
대구광역시 1311
 
16.9%
1층 448
 
5.8%
북구 282
 
3.6%
달서구 244
 
3.1%
동구 187
 
2.4%
수성구 175
 
2.3%
달성군 125
 
1.6%
남구 99
 
1.3%
서구 98
 
1.3%
중구 84
 
1.1%
Other values (1765) 4701
60.6%
2023-10-21T05:56:22.233782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6445
 
16.8%
구 2639
 
6.9%
1 1763
 
4.6%
동 1685
 
4.4%
대 1675
 
4.4%
시 1373
 
3.6%
역 1318
 
3.4%
광 1313
 
3.4%
) 1249
 
3.2%
( 1249
 
3.2%
Other values (314) 17764
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22076
57.4%
Space Separator 6445
 
16.8%
Decimal Number 6050
 
15.7%
Close Punctuation 1249
 
3.2%
Open Punctuation 1249
 
3.2%
Other Punctuation 1019
 
2.6%
Dash Punctuation 265
 
0.7%
Uppercase Letter 113
 
0.3%
Math Symbol 6
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2639
 
12.0%
동 1685
 
7.6%
대 1675
 
7.6%
시 1373
 
6.2%
역 1318
 
6.0%
광 1313
 
5.9%
로 1248
 
5.7%
층 762
 
3.5%
길 758
 
3.4%
성 544
 
2.5%
Other values (283) 8761
39.7%
Uppercase Letter
ValueCountFrequency (%)
A 55
48.7%
B 37
32.7%
C 6
 
5.3%
E 3
 
2.7%
T 3
 
2.7%
K 1
 
0.9%
F 1
 
0.9%
O 1
 
0.9%
W 1
 
0.9%
R 1
 
0.9%
Other values (4) 4
 
3.5%
Decimal Number
ValueCountFrequency (%)
1 1763
29.1%
2 875
14.5%
3 655
 
10.8%
4 483
 
8.0%
5 449
 
7.4%
0 425
 
7.0%
6 404
 
6.7%
7 381
 
6.3%
8 326
 
5.4%
9 289
 
4.8%
Space Separator
ValueCountFrequency (%)
6445
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1249
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1249
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1019
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 265
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22076
57.4%
Common 16283
42.3%
Latin 114
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2639
 
12.0%
동 1685
 
7.6%
대 1675
 
7.6%
시 1373
 
6.2%
역 1318
 
6.0%
광 1313
 
5.9%
로 1248
 
5.7%
층 762
 
3.5%
길 758
 
3.4%
성 544
 
2.5%
Other values (283) 8761
39.7%
Common
ValueCountFrequency (%)
6445
39.6%
1 1763
 
10.8%
) 1249
 
7.7%
( 1249
 
7.7%
, 1019
 
6.3%
2 875
 
5.4%
3 655
 
4.0%
4 483
 
3.0%
5 449
 
2.8%
0 425
 
2.6%
Other values (6) 1671
 
10.3%
Latin
ValueCountFrequency (%)
A 55
48.2%
B 37
32.5%
C 6
 
5.3%
E 3
 
2.6%
T 3
 
2.6%
K 1
 
0.9%
F 1
 
0.9%
O 1
 
0.9%
W 1
 
0.9%
R 1
 
0.9%
Other values (5) 5
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22076
57.4%
ASCII 16397
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6445
39.3%
1 1763
 
10.8%
) 1249
 
7.6%
( 1249
 
7.6%
, 1019
 
6.2%
2 875
 
5.3%
3 655
 
4.0%
4 483
 
2.9%
5 449
 
2.7%
0 425
 
2.6%
Other values (21) 1785
 
10.9%
Hangul
ValueCountFrequency (%)
구 2639
 
12.0%
동 1685
 
7.6%
대 1675
 
7.6%
시 1373
 
6.2%
역 1318
 
6.0%
광 1313
 
5.9%
로 1248
 
5.7%
층 762
 
3.5%
길 758
 
3.4%
성 544
 
2.5%
Other values (283) 8761
39.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct659
Distinct (%)50.7%
Missing921
Missing (%)41.5%
Infinite0
Infinite (%)0.0%
Mean42041.356
Minimum41000
Maximum43163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2023-10-21T05:56:22.937902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41087.9
Q141488
median42007
Q342641
95-th percentile42974
Maximum43163
Range2163
Interquartile range (IQR)1153

Descriptive statistics

Standard deviation621.92255
Coefficient of variation (CV)0.014793113
Kurtosis-1.3011667
Mean42041.356
Median Absolute Deviation (MAD)527
Skewness0.036893802
Sum54653763
Variance386787.65
MonotonicityNot monotonic
2023-10-21T05:56:23.682222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41488 28
 
1.3%
42637 24
 
1.1%
41485 23
 
1.0%
41490 19
 
0.9%
41557 13
 
0.6%
41582 12
 
0.5%
41927 9
 
0.4%
41936 8
 
0.4%
42945 7
 
0.3%
41934 7
 
0.3%
Other values (649) 1150
51.8%
(Missing) 921
41.5%
ValueCountFrequency (%)
41000 3
0.1%
41001 2
 
0.1%
41002 3
0.1%
41007 1
 
< 0.1%
41009 3
0.1%
41020 3
0.1%
41026 5
0.2%
41028 1
 
< 0.1%
41031 1
 
< 0.1%
41035 1
 
< 0.1%
ValueCountFrequency (%)
43163 1
 
< 0.1%
43162 2
0.1%
43160 1
 
< 0.1%
43151 1
 
< 0.1%
43150 1
 
< 0.1%
43149 1
 
< 0.1%
43145 1
 
< 0.1%
43137 3
0.1%
43118 3
0.1%
43115 1
 
< 0.1%

사업장명
Text

Distinct1758
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
2023-10-21T05:56:25.273607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length6.0950023
Min length2

Characters and Unicode

Total characters13537
Distinct characters601
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1527 ?
Unique (%)68.8%

Sample

1st row홍차원
2nd row현식품
3rd row한뫼들
4th row남경식품
5th row한국물산
ValueCountFrequency (%)
주식회사 43
 
1.8%
대백마트 21
 
0.9%
개미농특산 14
 
0.6%
궁전방식품 11
 
0.5%
조은식품 10
 
0.4%
일해식품(주 9
 
0.4%
서문떡방 9
 
0.4%
나이스마트 8
 
0.3%
우리농수산 8
 
0.3%
주)바다누리 8
 
0.3%
Other values (1837) 2290
94.2%
2023-10-21T05:56:27.613035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 518
 
3.8%
) 448
 
3.3%
( 443
 
3.3%
주 440
 
3.3%
품 411
 
3.0%
마 395
 
2.9%
트 383
 
2.8%
이 243
 
1.8%
대 239
 
1.8%
산 225
 
1.7%
Other values (591) 9792
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12127
89.6%
Close Punctuation 448
 
3.3%
Open Punctuation 443
 
3.3%
Space Separator 210
 
1.6%
Uppercase Letter 150
 
1.1%
Lowercase Letter 78
 
0.6%
Decimal Number 55
 
0.4%
Other Punctuation 18
 
0.1%
Dash Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 518
 
4.3%
주 440
 
3.6%
품 411
 
3.4%
마 395
 
3.3%
트 383
 
3.2%
이 243
 
2.0%
대 239
 
2.0%
산 225
 
1.9%
점 219
 
1.8%
사 209
 
1.7%
Other values (532) 8845
72.9%
Uppercase Letter
ValueCountFrequency (%)
F 16
10.7%
O 16
10.7%
S 16
10.7%
D 16
10.7%
K 15
10.0%
B 10
 
6.7%
G 7
 
4.7%
M 6
 
4.0%
N 6
 
4.0%
A 5
 
3.3%
Other values (13) 37
24.7%
Lowercase Letter
ValueCountFrequency (%)
o 16
20.5%
e 10
12.8%
d 7
9.0%
n 6
 
7.7%
y 6
 
7.7%
l 5
 
6.4%
a 5
 
6.4%
w 4
 
5.1%
s 3
 
3.8%
m 3
 
3.8%
Other values (8) 13
16.7%
Decimal Number
ValueCountFrequency (%)
1 10
18.2%
2 10
18.2%
4 7
12.7%
7 6
10.9%
9 5
9.1%
3 5
9.1%
0 5
9.1%
5 4
 
7.3%
8 2
 
3.6%
6 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
& 11
61.1%
. 5
27.8%
, 1
 
5.6%
: 1
 
5.6%
Close Punctuation
ValueCountFrequency (%)
) 448
100.0%
Open Punctuation
ValueCountFrequency (%)
( 443
100.0%
Space Separator
ValueCountFrequency (%)
210
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12126
89.6%
Common 1182
 
8.7%
Latin 228
 
1.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 518
 
4.3%
주 440
 
3.6%
품 411
 
3.4%
마 395
 
3.3%
트 383
 
3.2%
이 243
 
2.0%
대 239
 
2.0%
산 225
 
1.9%
점 219
 
1.8%
사 209
 
1.7%
Other values (531) 8844
72.9%
Latin
ValueCountFrequency (%)
F 16
 
7.0%
O 16
 
7.0%
S 16
 
7.0%
D 16
 
7.0%
o 16
 
7.0%
K 15
 
6.6%
e 10
 
4.4%
B 10
 
4.4%
d 7
 
3.1%
G 7
 
3.1%
Other values (31) 99
43.4%
Common
ValueCountFrequency (%)
) 448
37.9%
( 443
37.5%
210
17.8%
& 11
 
0.9%
1 10
 
0.8%
2 10
 
0.8%
- 8
 
0.7%
4 7
 
0.6%
7 6
 
0.5%
. 5
 
0.4%
Other values (8) 24
 
2.0%
Han
ValueCountFrequency (%)
三 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12125
89.6%
ASCII 1410
 
10.4%
Compat Jamo 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 518
 
4.3%
주 440
 
3.6%
품 411
 
3.4%
마 395
 
3.3%
트 383
 
3.2%
이 243
 
2.0%
대 239
 
2.0%
산 225
 
1.9%
점 219
 
1.8%
사 209
 
1.7%
Other values (530) 8843
72.9%
ASCII
ValueCountFrequency (%)
) 448
31.8%
( 443
31.4%
210
14.9%
F 16
 
1.1%
O 16
 
1.1%
S 16
 
1.1%
D 16
 
1.1%
o 16
 
1.1%
K 15
 
1.1%
& 11
 
0.8%
Other values (49) 203
14.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
CJK
ValueCountFrequency (%)
三 1
100.0%

최종수정시점
Date

Distinct1906
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
Minimum2001-08-23 00:00:00
Maximum2023-09-27 16:57:19
2023-10-21T05:56:28.167100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:56:28.851178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
I
1659 
U
562 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1659
74.7%
U 562
 
25.3%

Length

2023-10-21T05:56:29.511768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:56:30.124243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1659
74.7%
u 562
 
25.3%

데이터갱신일자
Date

Distinct530
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-09-29 02:40:00
2023-10-21T05:56:30.660121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:56:31.974949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
식품소분업
2220 
<NA>
 
1

Length

Max length5
Median length5
Mean length4.9995498
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
식품소분업 2220
> 99.9%
<NA> 1
 
< 0.1%

Length

2023-10-21T05:56:32.967902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:56:33.587154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품소분업 2220
> 99.9%
na 1
 
< 0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1446
Distinct (%)68.4%
Missing106
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean342479.63
Minimum326848.48
Maximum357832.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2023-10-21T05:56:34.325349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum326848.48
5-th percentile332843.16
Q1339047.79
median341989.43
Q3345733.49
95-th percentile353483.98
Maximum357832.24
Range30983.76
Interquartile range (IQR)6685.6928

Descriptive statistics

Standard deviation5508.5689
Coefficient of variation (CV)0.01608437
Kurtosis0.20632222
Mean342479.63
Median Absolute Deviation (MAD)3204.3767
Skewness0.16030901
Sum7.2434441 × 108
Variance30344332
MonotonicityNot monotonic
2023-10-21T05:56:35.098703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
345032.238220744 51
 
2.3%
339047.793378934 47
 
2.1%
339243.983122111 31
 
1.4%
348194.499420792 29
 
1.3%
338123.173581376 29
 
1.3%
337916.079938251 25
 
1.1%
343705.561002201 22
 
1.0%
345663.599838521 19
 
0.9%
344052.576927614 17
 
0.8%
344066.984670152 16
 
0.7%
Other values (1436) 1829
82.4%
(Missing) 106
 
4.8%
ValueCountFrequency (%)
326848.481791262 1
< 0.1%
327437.783351492 1
< 0.1%
327489.324166674 1
< 0.1%
327531.565421223 1
< 0.1%
327605.063942283 1
< 0.1%
327637.398011224 1
< 0.1%
328014.795830463 1
< 0.1%
328032.453544805 1
< 0.1%
328213.561415589 1
< 0.1%
328311.018298287 1
< 0.1%
ValueCountFrequency (%)
357832.242269486 1
< 0.1%
356698.367083593 1
< 0.1%
356518.620255026 1
< 0.1%
356477.570167987 1
< 0.1%
356370.489825402 1
< 0.1%
356351.617490545 1
< 0.1%
356347.076957884 1
< 0.1%
356327.570045769 1
< 0.1%
356325.33935912 1
< 0.1%
356223.244084316 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1446
Distinct (%)68.4%
Missing106
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean263575.43
Minimum237972.41
Maximum305597.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2023-10-21T05:56:35.907218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237972.41
5-th percentile256562.85
Q1261176
median263710.28
Q3265698.79
95-th percentile271412.22
Maximum305597.02
Range67624.613
Interquartile range (IQR)4522.7941

Descriptive statistics

Standard deviation5648.0666
Coefficient of variation (CV)0.021428653
Kurtosis13.389099
Mean263575.43
Median Absolute Deviation (MAD)2236.8638
Skewness1.1390259
Sum5.5746204 × 108
Variance31900656
MonotonicityNot monotonic
2023-10-21T05:56:36.870348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262949.871621315 51
 
2.3%
258741.902180368 47
 
2.1%
268026.454530584 31
 
1.4%
259144.519321173 29
 
1.3%
262253.344209849 29
 
1.3%
262111.061697986 25
 
1.1%
264056.630948974 22
 
1.0%
263506.500129769 19
 
0.9%
265131.653371228 17
 
0.8%
264414.299416314 16
 
0.7%
Other values (1436) 1829
82.4%
(Missing) 106
 
4.8%
ValueCountFrequency (%)
237972.408064396 1
< 0.1%
237999.437164484 1
< 0.1%
238531.354079775 1
< 0.1%
238824.505920574 1
< 0.1%
238893.362765047 1
< 0.1%
238893.829911915 1
< 0.1%
239536.919741222 1
< 0.1%
241150.870459004 1
< 0.1%
242313.644674073 1
< 0.1%
242735.533882088 1
< 0.1%
ValueCountFrequency (%)
305597.020750504 2
0.1%
305196.555870712 1
 
< 0.1%
304607.025899462 2
0.1%
304496.13279285 1
 
< 0.1%
298429.460189321 1
 
< 0.1%
298079.610834398 1
 
< 0.1%
297436.154458142 1
 
< 0.1%
297012.149117177 1
 
< 0.1%
292024.590733752 3
0.1%
290641.539769691 1
 
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
식품소분업
2220 
<NA>
 
1

Length

Max length5
Median length5
Mean length4.9995498
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
식품소분업 2220
> 99.9%
<NA> 1
 
< 0.1%

Length

2023-10-21T05:56:37.771151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:56:38.132584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품소분업 2220
> 99.9%
na 1
 
< 0.1%

남성종사자수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
<NA>
1903 
0
318 

Length

Max length4
Median length4
Mean length3.5704638
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1903
85.7%
0 318
 
14.3%

Length

2023-10-21T05:56:38.467440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:56:39.064903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1903
85.7%
0 318
 
14.3%

여성종사자수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
<NA>
1903 
0
318 

Length

Max length4
Median length4
Mean length3.5704638
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1903
85.7%
0 318
 
14.3%

Length

2023-10-21T05:56:39.573472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:56:40.069424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1903
85.7%
0 318
 
14.3%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2221
Missing (%)100.0%
Memory size19.6 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2221
Missing (%)100.0%
Memory size19.6 KiB

급수시설구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
<NA>
1471 
상수도전용
747 
지하수전용
 
3

Length

Max length5
Median length4
Mean length4.3376857
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1471
66.2%
상수도전용 747
33.6%
지하수전용 3
 
0.1%

Length

2023-10-21T05:56:40.600329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:56:41.016547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1471
66.2%
상수도전용 747
33.6%
지하수전용 3
 
0.1%

총직원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
<NA>
1911 
0
310 

Length

Max length4
Median length4
Mean length3.5812697
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1911
86.0%
0 310
 
14.0%

Length

2023-10-21T05:56:41.532771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:56:42.058282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1911
86.0%
0 310
 
14.0%

본사직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
0
1589 
<NA>
577 
1
 
45
2
 
6
3
 
3

Length

Max length4
Median length1
Mean length1.7793787
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1589
71.5%
<NA> 577
 
26.0%
1 45
 
2.0%
2 6
 
0.3%
3 3
 
0.1%
6 1
 
< 0.1%

Length

2023-10-21T05:56:42.886416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:56:43.449542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1589
71.5%
na 577
 
26.0%
1 45
 
2.0%
2 6
 
0.3%
3 3
 
0.1%
6 1
 
< 0.1%

공장사무직직원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
0
1620 
<NA>
577 
1
 
22
2
 
1
13
 
1

Length

Max length4
Median length1
Mean length1.7798289
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1620
72.9%
<NA> 577
 
26.0%
1 22
 
1.0%
2 1
 
< 0.1%
13 1
 
< 0.1%

Length

2023-10-21T05:56:44.054816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:56:44.514266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1620
72.9%
na 577
 
26.0%
1 22
 
1.0%
2 1
 
< 0.1%
13 1
 
< 0.1%

공장판매직직원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
0
1482 
<NA>
578 
1
 
141
2
 
15
3
 
4

Length

Max length4
Median length1
Mean length1.7807294
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2
2nd row1
3rd row<NA>
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 1482
66.7%
<NA> 578
 
26.0%
1 141
 
6.3%
2 15
 
0.7%
3 4
 
0.2%
4 1
 
< 0.1%

Length

2023-10-21T05:56:45.112436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:56:45.619796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1482
66.7%
na 578
 
26.0%
1 141
 
6.3%
2 15
 
0.7%
3 4
 
0.2%
4 1
 
< 0.1%

공장생산직직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.4%
Missing576
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean0.17507599
Minimum0
Maximum5
Zeros1441
Zeros (%)64.9%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2023-10-21T05:56:46.078494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5217753
Coefficient of variation (CV)2.980279
Kurtosis14.891248
Mean0.17507599
Median Absolute Deviation (MAD)0
Skewness3.5587879
Sum288
Variance0.27224946
MonotonicityNot monotonic
2023-10-21T05:56:46.474304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1441
64.9%
1 137
 
6.2%
2 53
 
2.4%
3 12
 
0.5%
5 1
 
< 0.1%
4 1
 
< 0.1%
(Missing) 576
 
25.9%
ValueCountFrequency (%)
0 1441
64.9%
1 137
 
6.2%
2 53
 
2.4%
3 12
 
0.5%
4 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 1
 
< 0.1%
3 12
 
0.5%
2 53
 
2.4%
1 137
 
6.2%
0 1441
64.9%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
<NA>
1412 
임대
422 
자가
387 

Length

Max length4
Median length4
Mean length3.2714993
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1412
63.6%
임대 422
 
19.0%
자가 387
 
17.4%

Length

2023-10-21T05:56:47.153597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:56:47.707653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1412
63.6%
임대 422
 
19.0%
자가 387
 
17.4%

보증액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
<NA>
1883 
0
338 

Length

Max length4
Median length4
Mean length3.5434489
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1883
84.8%
0 338
 
15.2%

Length

2023-10-21T05:56:48.420645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:56:49.059961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1883
84.8%
0 338
 
15.2%

월세액
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
<NA>
1881 
0
338 
1000000
 
1
1200000
 
1

Length

Max length7
Median length4
Mean length3.5461504
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1881
84.7%
0 338
 
15.2%
1000000 1
 
< 0.1%
1200000 1
 
< 0.1%

Length

2023-10-21T05:56:49.452399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:56:49.880710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1881
84.7%
0 338
 
15.2%
1000000 1
 
< 0.1%
1200000 1
 
< 0.1%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
False
2221 
ValueCountFrequency (%)
False 2221
100.0%
2023-10-21T05:56:50.263218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct84
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0443089
Minimum0
Maximum150.72
Zeros2121
Zeros (%)95.5%
Negative0
Negative (%)0.0%
Memory size19.6 KiB
2023-10-21T05:56:50.869879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum150.72
Range150.72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.6060513
Coefficient of variation (CV)7.283335
Kurtosis166.36975
Mean1.0443089
Median Absolute Deviation (MAD)0
Skewness11.647745
Sum2319.41
Variance57.852017
MonotonicityNot monotonic
2023-10-21T05:56:51.536119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2121
95.5%
3.0 3
 
0.1%
3.3 3
 
0.1%
16.5 3
 
0.1%
10.0 3
 
0.1%
15.0 2
 
0.1%
9.9 2
 
0.1%
6.0 2
 
0.1%
19.0 2
 
0.1%
30.0 2
 
0.1%
Other values (74) 78
 
3.5%
ValueCountFrequency (%)
0.0 2121
95.5%
2.0 2
 
0.1%
2.02 1
 
< 0.1%
2.18 1
 
< 0.1%
2.53 1
 
< 0.1%
2.56 1
 
< 0.1%
2.7 1
 
< 0.1%
3.0 3
 
0.1%
3.3 3
 
0.1%
3.36 1
 
< 0.1%
ValueCountFrequency (%)
150.72 1
< 0.1%
122.56 1
< 0.1%
117.86 1
< 0.1%
104.92 1
< 0.1%
96.48 1
< 0.1%
76.57 1
< 0.1%
72.46 1
< 0.1%
70.0 1
< 0.1%
66.0 1
< 0.1%
56.16 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2221
Missing (%)100.0%
Memory size19.6 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2221
Missing (%)100.0%
Memory size19.6 KiB

홈페이지
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.5 KiB
<NA>
2220 
53
 
1

Length

Max length4
Median length4
Mean length3.9990995
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2220
> 99.9%
53 1
 
< 0.1%

Length

2023-10-21T05:56:52.218202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:56:52.834798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2220
> 99.9%
53 1
 
< 0.1%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01식품소분업07_22_08_P34100003410000-109-2008-000082008-06-17<NA>3폐업2폐업2010-01-13<NA><NA><NA>053 322 4905165.88700-111대구광역시 중구 태평로1가 0023-0001 77태평아파트상가1동2층 3호<NA><NA>홍차원2009-01-07 11:04:59I2018-08-31 23:59:59식품소분업344466.007838264977.009084식품소분업<NA><NA><NA><NA>상수도전용<NA>0020임대<NA><NA>N0.0<NA><NA><NA>
12식품소분업07_22_08_P34100003410000-109-2008-000092008-09-10<NA>3폐업2폐업2014-10-28<NA><NA><NA>053 752 11193.3700-070대구광역시 중구 덕산동 0053-0003 (지하1층)대구광역시 중구 달구벌대로 2085 (덕산동, 지하1층)41936현식품2012-07-23 11:05:48I2018-08-31 23:59:59식품소분업343705.561002264056.630949식품소분업<NA><NA><NA><NA>상수도전용<NA>0010임대<NA><NA>N0.0<NA><NA><NA>
23식품소분업07_22_08_P34100003410000-109-2008-000102008-09-16<NA>3폐업2폐업2009-01-29<NA><NA><NA><NA>6.6700-718대구광역시 중구 대봉동 0214 대백프라자 지하1층<NA><NA>한뫼들2008-10-01 09:10:46I2018-08-31 23:59:59식품소분업345032.238221262949.871621식품소분업<NA><NA><NA><NA>상수도전용<NA>00<NA>1임대<NA><NA>N0.0<NA><NA><NA>
34식품소분업07_22_08_P34100003410000-109-2008-000112008-09-23<NA>3폐업2폐업2009-08-21<NA><NA><NA><NA>4.0700-092대구광역시 중구 동성로2가 0174<NA><NA>남경식품2009-01-07 11:05:49I2018-08-31 23:59:59식품소분업344066.98467264414.299416식품소분업<NA><NA><NA><NA>상수도전용<NA>0010임대<NA><NA>N0.0<NA><NA><NA>
45식품소분업07_22_08_P34100003410000-109-2005-000032005-01-27<NA>3폐업2폐업2006-06-09<NA><NA><NA><NA>126.15700-826대구광역시 중구 남산동 2109-0001<NA><NA>한국물산2005-01-27 00:00:00I2018-08-31 23:59:59식품소분업343639.465001263175.906103식품소분업<NA><NA><NA><NA><NA><NA>0002<NA><NA><NA>N0.0<NA><NA><NA>
56식품소분업07_22_08_P34100003410000-109-2005-000042005-02-25<NA>3폐업2폐업2005-06-30<NA><NA><NA><NA>3.5700-811대구광역시 중구 대봉동 0214<NA><NA>더네이쳐샵2005-02-25 00:00:00I2018-08-31 23:59:59식품소분업345032.238221262949.871621식품소분업<NA><NA><NA><NA>상수도전용<NA>0001임대<NA><NA>N0.0<NA><NA><NA>
67식품소분업07_22_08_P34100003410000-109-2005-000052005-03-02<NA>3폐업2폐업2005-03-15<NA><NA><NA><NA><NA>700-180대구광역시 중구 동문동 0020-0004<NA><NA>전남생연2005-03-02 00:00:00I2018-08-31 23:59:59식품소분업344148.352033264812.35373식품소분업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
78식품소분업07_22_08_P34100003410000-109-2005-000062005-03-03<NA>3폐업2폐업2007-03-06<NA><NA><NA><NA>8.17700-718대구광역시 중구 대봉동 0214 대백프라자<NA><NA>스위트존2005-03-03 00:00:00I2018-08-31 23:59:59식품소분업345032.238221262949.871621식품소분업<NA><NA><NA><NA>상수도전용<NA>0001임대<NA><NA>N0.0<NA><NA><NA>
89식품소분업07_22_08_P34100003410000-109-2005-000072005-03-11<NA>3폐업2폐업2005-10-27<NA><NA><NA><NA>1.61700-180대구광역시 중구 동문동 0020-0011<NA><NA>동아백화점B1식품관2005-03-11 00:00:00I2018-08-31 23:59:59식품소분업344138.507492264773.346334식품소분업<NA><NA><NA><NA>상수도전용<NA>0010임대<NA><NA>N0.0<NA><NA><NA>
910식품소분업07_22_08_P34100003410000-109-2005-000082005-03-15<NA>3폐업2폐업2005-03-30<NA><NA><NA><NA><NA>700-070대구광역시 중구 덕산동 0053-0003<NA><NA>전남생연2005-03-15 00:00:00I2018-08-31 23:59:59식품소분업343705.561002264056.630949식품소분업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
22112212식품소분업07_22_08_P51410005141000-109-2018-000012018-01-10<NA>1영업/정상1영업<NA><NA><NA><NA>054 382 300683.66<NA>대구광역시 군위군 부계면 신화리 734대구광역시 군위군 부계면 신화1길 3443163경북친환경영농조합법인2018-05-17 17:50:48I2023-07-01 16:42:10식품소분업348226.827358290641.53977식품소분업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
22122213식품소분업07_22_08_P51410005141000-109-2021-000012021-01-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.98<NA>대구광역시 군위군 의흥면 읍내리 584-2대구광역시 군위군 의흥면 읍내5길 12-1443149채채떡볶이2021-01-13 15:58:28I2023-07-01 16:42:10식품소분업354251.267706298429.460189식품소분업00<NA><NA>상수도전용00000임대00N0.0<NA><NA><NA>
22132214식품소분업07_22_08_P51410005141000-109-2022-000012022-08-23<NA>1영업/정상1영업<NA><NA><NA><NA>054 382 338016.2<NA>대구광역시 군위군 우보면 미성리 440대구광역시 군위군 우보면 철길로 49943145참맛대추2022-08-23 16:45:54I2023-07-01 16:42:10식품소분업350309.759569298079.610834식품소분업00<NA><NA><NA>00000자가00N0.0<NA><NA><NA>
22142215식품소분업07_22_08_P51410005141000-109-2002-000012002-02-20<NA>3폐업2폐업2016-03-28<NA><NA><NA>054 38204406.91<NA>대구광역시 군위군 군위읍 동부리 329대구광역시 군위군 군위읍 중앙길 14243114K-마트2006-08-31 00:00:00I2023-07-01 16:42:10식품소분업340956.190538305597.020751식품소분업00<NA><NA>상수도전용00000<NA>00N0.0<NA><NA><NA>
22152216식품소분업07_22_08_P51410005141000-109-2006-000012006-10-20<NA>3폐업2폐업2006-11-01<NA><NA><NA><NA><NA><NA>대구광역시 군위군 군위읍 오곡리 산 68-8<NA><NA>(주)웃는사람들(하)2006-11-01 00:00:00I2023-07-01 15:23:19식품소분업<NA><NA>식품소분업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
22162217식품소분업07_22_08_P51410005141000-109-2006-000022006-10-20<NA>3폐업2폐업2006-11-01<NA><NA><NA>054 3836114<NA><NA>대구광역시 군위군 군위읍 오곡리 산 67-5<NA><NA>(주)웃는사람들 군위(상)2006-10-20 00:00:00I2023-07-01 15:23:19식품소분업<NA><NA>식품소분업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
22172218식품소분업07_22_08_P51410005141000-109-2007-000012007-03-15<NA>3폐업2폐업2016-02-16<NA><NA><NA>054 3835002<NA><NA>대구광역시 군위군 군위읍 서부리 158-1대구광역시 군위군 군위읍 중앙길 3943118홈마트 군위점2014-05-02 15:02:40I2023-07-01 16:42:10식품소분업340762.090845304607.025899식품소분업00<NA><NA>상수도전용00000<NA>00N0.0<NA><NA><NA>
22182219식품소분업07_22_08_P51410005141000-109-2014-000012014-11-04<NA>3폐업2폐업2022-03-16<NA><NA><NA><NA>28.8<NA>대구광역시 군위군 의흥면 원산리 517대구광역시 군위군 의흥면 원산금양길 219-943151농업회사법인주식회사 리팜에프앤비2022-03-16 09:34:55I2023-07-01 16:42:10식품소분업356123.86661297012.149117식품소분업00<NA><NA>상수도전용00000자가00N0.0<NA><NA><NA>
22192220식품소분업07_22_08_P51410005141000-109-2016-000032016-07-04<NA>3폐업2폐업2019-12-24<NA><NA><NA>054 382 766231.68<NA>대구광역시 군위군 의흥면 이지리 324대구광역시 군위군 의흥면 산성가음로 121543150명지친환경영농조합법인2019-12-24 17:46:16I2023-07-01 16:42:10식품소분업353570.978048297436.154458식품소분업00<NA><NA>상수도전용00000<NA>00N0.0<NA><NA><NA>
22202221식품소분업07_22_08_P51410005141000-109-2002-000022002-12-16<NA>1영업/정상1영업<NA><NA><NA><NA>054 3834590572.42<NA>대구광역시 군위군 부계면 창평리 805-12대구광역시 군위군 부계면 부흥로 8643162일월한과2019-09-19 11:06:39I2023-07-01 16:42:10식품소분업350373.157034290608.580012식품소분업00<NA><NA>상수도전용00000<NA>00N0.0<NA><NA><NA>