Overview

Dataset statistics

Number of variables47
Number of observations249
Missing cells2577
Missing cells (%)22.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory99.1 KiB
Average record size in memory407.5 B

Variable types

Numeric11
Categorical20
Text5
Unsupported9
DateTime1
Boolean1

Dataset

Description22년08월_6270000_대구광역시_07_22_02_P_건강기능식품유통전문판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000094290&dataSetDetailId=DDI_0000094304&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
인허가취소일자 has 249 (100.0%) missing valuesMissing
폐업일자 has 117 (47.0%) missing valuesMissing
휴업시작일자 has 249 (100.0%) missing valuesMissing
휴업종료일자 has 249 (100.0%) missing valuesMissing
재개업일자 has 249 (100.0%) missing valuesMissing
소재지전화 has 119 (47.8%) missing valuesMissing
소재지면적 has 54 (21.7%) missing valuesMissing
도로명전체주소 has 14 (5.6%) missing valuesMissing
도로명우편번호 has 14 (5.6%) missing valuesMissing
좌표정보(X) has 9 (3.6%) missing valuesMissing
좌표정보(Y) has 9 (3.6%) missing valuesMissing
영업장주변구분명 has 249 (100.0%) missing valuesMissing
등급구분명 has 249 (100.0%) missing valuesMissing
전통업소지정번호 has 249 (100.0%) missing valuesMissing
전통업소주된음식 has 249 (100.0%) missing valuesMissing
홈페이지 has 249 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 17 (6.8%) zerosZeros
시설총규모 has 238 (95.6%) zerosZeros

Reproduction

Analysis started2023-12-10 17:51:07.302877
Analysis finished2023-12-10 17:51:08.939668
Duration1.64 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct249
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125
Minimum1
Maximum249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T02:51:09.149278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.4
Q163
median125
Q3187
95-th percentile236.6
Maximum249
Range248
Interquartile range (IQR)124

Descriptive statistics

Standard deviation72.024301
Coefficient of variation (CV)0.57619441
Kurtosis-1.2
Mean125
Median Absolute Deviation (MAD)62
Skewness0
Sum31125
Variance5187.5
MonotonicityStrictly increasing
2023-12-11T02:51:10.059859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
172 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
Other values (239) 239
96.0%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
249 1
0.4%
248 1
0.4%
247 1
0.4%
246 1
0.4%
245 1
0.4%
244 1
0.4%
243 1
0.4%
242 1
0.4%
241 1
0.4%
240 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
건강기능식품유통전문판매업
249 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품유통전문판매업 249
100.0%

Length

2023-12-11T02:51:10.416173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:10.684931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 249
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
07_22_02_P
249 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_02_P
2nd row07_22_02_P
3rd row07_22_02_P
4th row07_22_02_P
5th row07_22_02_P

Common Values

ValueCountFrequency (%)
07_22_02_P 249
100.0%

Length

2023-12-11T02:51:10.951356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:11.141713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_02_p 249
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445863.5
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T02:51:11.313401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33460000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation22310.073
Coefficient of variation (CV)0.0064744506
Kurtosis-1.3100708
Mean3445863.5
Median Absolute Deviation (MAD)20000
Skewness-0.22385721
Sum8.5802 × 108
Variance4.9773934 × 108
MonotonicityIncreasing
2023-12-11T02:51:11.544557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 50
20.1%
3420000 44
17.7%
3470000 43
17.3%
3450000 33
13.3%
3410000 26
10.4%
3430000 18
 
7.2%
3440000 18
 
7.2%
3480000 17
 
6.8%
ValueCountFrequency (%)
3410000 26
10.4%
3420000 44
17.7%
3430000 18
 
7.2%
3440000 18
 
7.2%
3450000 33
13.3%
3460000 50
20.1%
3470000 43
17.3%
3480000 17
 
6.8%
ValueCountFrequency (%)
3480000 17
 
6.8%
3470000 43
17.3%
3460000 50
20.1%
3450000 33
13.3%
3440000 18
 
7.2%
3430000 18
 
7.2%
3420000 44
17.7%
3410000 26
10.4%

관리번호
Text

UNIQUE 

Distinct249
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T02:51:11.969277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters5478
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

Unique249 ?
Unique (%)100.0%

Sample

1st row3410000-135-2019-00004
2nd row3410000-135-2017-00001
3rd row3410000-135-2020-00001
4th row3410000-135-2020-00003
5th row3410000-135-2021-00003
ValueCountFrequency (%)
3410000-135-2019-00004 1
 
0.4%
3460000-135-2014-00003 1
 
0.4%
3460000-135-2010-00001 1
 
0.4%
3460000-135-2021-00004 1
 
0.4%
3460000-135-2021-00005 1
 
0.4%
3460000-135-2021-00003 1
 
0.4%
3460000-135-2020-00005 1
 
0.4%
3460000-135-2014-00004 1
 
0.4%
3460000-135-2022-00005 1
 
0.4%
3460000-135-2022-00004 1
 
0.4%
Other values (239) 239
96.0%
2023-12-11T02:51:12.657441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2296
41.9%
- 747
 
13.6%
3 566
 
10.3%
1 560
 
10.2%
2 454
 
8.3%
5 320
 
5.8%
4 316
 
5.8%
6 78
 
1.4%
7 63
 
1.2%
9 39
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4731
86.4%
Dash Punctuation 747
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2296
48.5%
3 566
 
12.0%
1 560
 
11.8%
2 454
 
9.6%
5 320
 
6.8%
4 316
 
6.7%
6 78
 
1.6%
7 63
 
1.3%
9 39
 
0.8%
8 39
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 747
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5478
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2296
41.9%
- 747
 
13.6%
3 566
 
10.3%
1 560
 
10.2%
2 454
 
8.3%
5 320
 
5.8%
4 316
 
5.8%
6 78
 
1.4%
7 63
 
1.2%
9 39
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5478
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2296
41.9%
- 747
 
13.6%
3 566
 
10.3%
1 560
 
10.2%
2 454
 
8.3%
5 320
 
5.8%
4 316
 
5.8%
6 78
 
1.4%
7 63
 
1.2%
9 39
 
0.7%

인허가일자
Real number (ℝ)

Distinct203
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20160796
Minimum20040610
Maximum20220817
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T02:51:12.991671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040610
5-th percentile20050714
Q120131028
median20171109
Q320200604
95-th percentile20220275
Maximum20220817
Range180207
Interquartile range (IQR)69576

Descriptive statistics

Standard deviation49202.581
Coefficient of variation (CV)0.0024405079
Kurtosis-0.013343001
Mean20160796
Median Absolute Deviation (MAD)30386
Skewness-0.89371109
Sum5.0200382 × 109
Variance2.420894 × 109
MonotonicityNot monotonic
2023-12-11T02:51:13.347594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160622 6
 
2.4%
20151109 4
 
1.6%
20190517 4
 
1.6%
20210929 3
 
1.2%
20151216 3
 
1.2%
20130328 3
 
1.2%
20120529 3
 
1.2%
20190508 3
 
1.2%
20190712 2
 
0.8%
20170915 2
 
0.8%
Other values (193) 216
86.7%
ValueCountFrequency (%)
20040610 1
0.4%
20040615 1
0.4%
20040621 1
0.4%
20040706 1
0.4%
20040709 1
0.4%
20040729 1
0.4%
20040825 1
0.4%
20040907 1
0.4%
20041130 1
0.4%
20041202 1
0.4%
ValueCountFrequency (%)
20220817 1
0.4%
20220802 1
0.4%
20220728 1
0.4%
20220701 1
0.4%
20220429 1
0.4%
20220426 1
0.4%
20220413 1
0.4%
20220404 1
0.4%
20220329 1
0.4%
20220328 1
0.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing249
Missing (%)100.0%
Memory size2.3 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3
132 
1
117 

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 (%)
3 132
53.0%
1 117
47.0%

Length

2023-12-11T02:51:13.704240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:13.962099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 132
53.0%
1 117
47.0%

영업상태명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
폐업
132 
영업/정상
117 

Length

Max length5
Median length2
Mean length3.4096386
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 132
53.0%
영업/정상 117
47.0%

Length

2023-12-11T02:51:14.199882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:14.444965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 132
53.0%
영업/정상 117
47.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2
132 
1
117 

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 (%)
2 132
53.0%
1 117
47.0%

Length

2023-12-11T02:51:14.697536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:14.909007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 132
53.0%
1 117
47.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
폐업
132 
영업
117 

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 132
53.0%
영업 117
47.0%

Length

2023-12-11T02:51:15.181081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:15.548458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 132
53.0%
영업 117
47.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)93.2%
Missing117
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean20169058
Minimum20051213
Maximum20220823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T02:51:15.858554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20051213
5-th percentile20086323
Q120147897
median20180820
Q320200442
95-th percentile20220154
Maximum20220823
Range169610
Interquartile range (IQR)52545.25

Descriptive statistics

Standard deviation39484.158
Coefficient of variation (CV)0.0019576599
Kurtosis0.51300091
Mean20169058
Median Absolute Deviation (MAD)20406
Skewness-0.99398543
Sum2.6623157 × 109
Variance1.5589987 × 109
MonotonicityNot monotonic
2023-12-11T02:51:16.227852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191217 3
 
1.2%
20191030 2
 
0.8%
20190109 2
 
0.8%
20220203 2
 
0.8%
20210118 2
 
0.8%
20181115 2
 
0.8%
20210622 2
 
0.8%
20180808 2
 
0.8%
20191118 1
 
0.4%
20130626 1
 
0.4%
Other values (113) 113
45.4%
(Missing) 117
47.0%
ValueCountFrequency (%)
20051213 1
0.4%
20060608 1
0.4%
20060724 1
0.4%
20070123 1
0.4%
20070430 1
0.4%
20071226 1
0.4%
20080716 1
0.4%
20090910 1
0.4%
20100318 1
0.4%
20101118 1
0.4%
ValueCountFrequency (%)
20220823 1
0.4%
20220427 1
0.4%
20220420 1
0.4%
20220302 1
0.4%
20220221 1
0.4%
20220203 2
0.8%
20220114 1
0.4%
20211228 1
0.4%
20211123 1
0.4%
20211102 1
0.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing249
Missing (%)100.0%
Memory size2.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing249
Missing (%)100.0%
Memory size2.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing249
Missing (%)100.0%
Memory size2.3 KiB

소재지전화
Text

MISSING 

Distinct108
Distinct (%)83.1%
Missing119
Missing (%)47.8%
Memory size2.1 KiB
2023-12-11T02:51:16.960557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.315385
Min length3

Characters and Unicode

Total characters1471
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

Unique93 ?
Unique (%)71.5%

Sample

1st row18008362
2nd row050 55559690
3rd row053 4236023
4th row0532170705
5th row05052554545
ValueCountFrequency (%)
053 92
30.5%
070 10
 
3.3%
3341 4
 
1.3%
985 4
 
1.3%
324 4
 
1.3%
755 4
 
1.3%
07075701074 3
 
1.0%
5550101 3
 
1.0%
0156 3
 
1.0%
2926389 3
 
1.0%
Other values (151) 172
57.0%
2023-12-11T02:51:18.071104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 250
17.0%
5 236
16.0%
3 177
12.0%
173
11.8%
7 119
8.1%
2 110
7.5%
8 88
 
6.0%
1 86
 
5.8%
9 81
 
5.5%
4 77
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1298
88.2%
Space Separator 173
 
11.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 250
19.3%
5 236
18.2%
3 177
13.6%
7 119
9.2%
2 110
8.5%
8 88
 
6.8%
1 86
 
6.6%
9 81
 
6.2%
4 77
 
5.9%
6 74
 
5.7%
Space Separator
ValueCountFrequency (%)
173
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1471
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 250
17.0%
5 236
16.0%
3 177
12.0%
173
11.8%
7 119
8.1%
2 110
7.5%
8 88
 
6.0%
1 86
 
5.8%
9 81
 
5.5%
4 77
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1471
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 250
17.0%
5 236
16.0%
3 177
12.0%
173
11.8%
7 119
8.1%
2 110
7.5%
8 88
 
6.0%
1 86
 
5.8%
9 81
 
5.5%
4 77
 
5.2%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct148
Distinct (%)75.9%
Missing54
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean66.368872
Minimum0
Maximum493
Zeros17
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T02:51:18.494121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.5
median39.3
Q385.12
95-th percentile218.804
Maximum493
Range493
Interquartile range (IQR)68.62

Descriptive statistics

Standard deviation78.039419
Coefficient of variation (CV)1.1758437
Kurtosis7.5239942
Mean66.368872
Median Absolute Deviation (MAD)29.3
Skewness2.423531
Sum12941.93
Variance6090.1508
MonotonicityNot monotonic
2023-12-11T02:51:18.852715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 17
 
6.8%
15.0 5
 
2.0%
33.0 4
 
1.6%
16.5 4
 
1.6%
70.71 3
 
1.2%
35.0 3
 
1.2%
76.0 3
 
1.2%
10.0 3
 
1.2%
21.84 2
 
0.8%
6.3 2
 
0.8%
Other values (138) 149
59.8%
(Missing) 54
 
21.7%
ValueCountFrequency (%)
0.0 17
6.8%
1.0 1
 
0.4%
2.0 1
 
0.4%
3.0 2
 
0.8%
3.7 1
 
0.4%
4.0 2
 
0.8%
4.3 1
 
0.4%
4.6 1
 
0.4%
6.0 1
 
0.4%
6.3 2
 
0.8%
ValueCountFrequency (%)
493.0 1
0.4%
377.92 1
0.4%
376.86 1
0.4%
375.0 1
0.4%
329.8 1
0.4%
265.29 1
0.4%
240.0 1
0.4%
226.08 2
0.8%
226.0 1
0.4%
215.72 1
0.4%

소재지우편번호
Real number (ℝ)

Distinct157
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean703018.01
Minimum367801
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T02:51:19.177731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367801
5-th percentile700413
Q1701843
median704060
Q3706220
95-th percentile711813.2
Maximum711891
Range344090
Interquartile range (IQR)4377

Descriptive statistics

Standard deviation21525.263
Coefficient of variation (CV)0.030618367
Kurtosis239.94298
Mean703018.01
Median Absolute Deviation (MAD)2214
Skewness-15.346837
Sum1.7505148 × 108
Variance4.6333697 × 108
MonotonicityNot monotonic
2023-12-11T02:51:19.501747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
704919 5
 
2.0%
700413 5
 
2.0%
703846 5
 
2.0%
711812 4
 
1.6%
701260 4
 
1.6%
701170 4
 
1.6%
706800 4
 
1.6%
702894 4
 
1.6%
711814 4
 
1.6%
700823 4
 
1.6%
Other values (147) 206
82.7%
ValueCountFrequency (%)
367801 1
 
0.4%
700070 1
 
0.4%
700092 1
 
0.4%
700111 1
 
0.4%
700160 1
 
0.4%
700180 1
 
0.4%
700230 1
 
0.4%
700412 2
 
0.8%
700413 5
2.0%
700713 1
 
0.4%
ValueCountFrequency (%)
711891 1
 
0.4%
711856 1
 
0.4%
711851 3
1.2%
711823 1
 
0.4%
711821 1
 
0.4%
711815 2
0.8%
711814 4
1.6%
711812 4
1.6%
706853 1
 
0.4%
706852 3
1.2%

소재지전체주소
Text

Distinct212
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T02:51:20.347728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length25.421687
Min length17

Characters and Unicode

Total characters6330
Distinct characters216
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique182 ?
Unique (%)73.1%

Sample

1st row대구광역시 중구 남산동 ****-****번지 메디스퀘어 ***호
2nd row대구광역시 중구 삼덕동*가 ****-**** 미르치과병원 **층
3rd row대구광역시 중구 동성로*가 ****-****번지
4th row대구광역시 중구 삼덕동*가 **** 움비어스오피스텔
5th row대구광역시 중구 삼덕동*가 ****-**** *층
ValueCountFrequency (%)
대구광역시 248
20.9%
번지 138
 
11.6%
112
 
9.4%
수성구 49
 
4.1%
동구 44
 
3.7%
달서구 41
 
3.4%
층 40
 
3.4%
북구 33
 
2.8%
중구 27
 
2.3%
호 26
 
2.2%
Other values (172) 431
36.2%
2023-12-11T02:51:21.595648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1398
22.1%
1172
18.5%
구 495
 
7.8%
동 293
 
4.6%
대 287
 
4.5%
시 256
 
4.0%
역 249
 
3.9%
광 248
 
3.9%
- 217
 
3.4%
지 178
 
2.8%
Other values (206) 1537
24.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3491
55.2%
Other Punctuation 1409
22.3%
Space Separator 1172
 
18.5%
Dash Punctuation 217
 
3.4%
Uppercase Letter 15
 
0.2%
Close Punctuation 13
 
0.2%
Open Punctuation 13
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 495
14.2%
동 293
 
8.4%
대 287
 
8.2%
시 256
 
7.3%
역 249
 
7.1%
광 248
 
7.1%
지 178
 
5.1%
번 138
 
4.0%
성 86
 
2.5%
서 68
 
1.9%
Other values (190) 1193
34.2%
Uppercase Letter
ValueCountFrequency (%)
S 4
26.7%
K 3
20.0%
B 2
13.3%
D 2
13.3%
R 1
 
6.7%
T 1
 
6.7%
P 1
 
6.7%
J 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 1398
99.2%
, 9
 
0.6%
& 1
 
0.1%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1172
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 217
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3491
55.2%
Common 2824
44.6%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 495
14.2%
동 293
 
8.4%
대 287
 
8.2%
시 256
 
7.3%
역 249
 
7.1%
광 248
 
7.1%
지 178
 
5.1%
번 138
 
4.0%
성 86
 
2.5%
서 68
 
1.9%
Other values (190) 1193
34.2%
Common
ValueCountFrequency (%)
* 1398
49.5%
1172
41.5%
- 217
 
7.7%
) 13
 
0.5%
( 13
 
0.5%
, 9
 
0.3%
& 1
 
< 0.1%
/ 1
 
< 0.1%
Latin
ValueCountFrequency (%)
S 4
26.7%
K 3
20.0%
B 2
13.3%
D 2
13.3%
R 1
 
6.7%
T 1
 
6.7%
P 1
 
6.7%
J 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3491
55.2%
ASCII 2839
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1398
49.2%
1172
41.3%
- 217
 
7.6%
) 13
 
0.5%
( 13
 
0.5%
, 9
 
0.3%
S 4
 
0.1%
K 3
 
0.1%
B 2
 
0.1%
D 2
 
0.1%
Other values (6) 6
 
0.2%
Hangul
ValueCountFrequency (%)
구 495
14.2%
동 293
 
8.4%
대 287
 
8.2%
시 256
 
7.3%
역 249
 
7.1%
광 248
 
7.1%
지 178
 
5.1%
번 138
 
4.0%
성 86
 
2.5%
서 68
 
1.9%
Other values (190) 1193
34.2%

도로명전체주소
Text

MISSING 

Distinct213
Distinct (%)90.6%
Missing14
Missing (%)5.6%
Memory size2.1 KiB
2023-12-11T02:51:22.229492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length49
Mean length30.897872
Min length21

Characters and Unicode

Total characters7261
Distinct characters238
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique196 ?
Unique (%)83.4%

Sample

1st row대구광역시 중구 달구벌대로 ****, 메디스퀘어 ***호 (남산동)
2nd row대구광역시 중구 공평로 ** (삼덕동*가, 미르치과병원 **층)
3rd row대구광역시 중구 국채보상로 ***, **층 (동성로*가)
4th row대구광역시 중구 동덕로**길 **, 움비어스오피스텔 ***호 (삼덕동*가)
5th row대구광역시 중구 동덕로**길 **, *층 (삼덕동*가)
ValueCountFrequency (%)
대구광역시 235
 
15.8%
235
 
15.8%
층 153
 
10.3%
호 50
 
3.4%
수성구 47
 
3.2%
동구 41
 
2.8%
달서구 39
 
2.6%
북구 32
 
2.2%
중구 25
 
1.7%
지상*층 18
 
1.2%
Other values (286) 608
41.0%
2023-12-11T02:51:23.194438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1248
17.2%
* 1188
16.4%
구 506
 
7.0%
대 323
 
4.4%
동 316
 
4.4%
시 244
 
3.4%
역 237
 
3.3%
광 235
 
3.2%
로 233
 
3.2%
) 227
 
3.1%
Other values (228) 2504
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4075
56.1%
Other Punctuation 1415
 
19.5%
Space Separator 1248
 
17.2%
Close Punctuation 227
 
3.1%
Open Punctuation 227
 
3.1%
Dash Punctuation 48
 
0.7%
Uppercase Letter 19
 
0.3%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 506
 
12.4%
대 323
 
7.9%
동 316
 
7.8%
시 244
 
6.0%
역 237
 
5.8%
광 235
 
5.8%
로 233
 
5.7%
층 184
 
4.5%
성 103
 
2.5%
길 88
 
2.2%
Other values (210) 1606
39.4%
Uppercase Letter
ValueCountFrequency (%)
S 5
26.3%
K 3
15.8%
B 2
 
10.5%
A 2
 
10.5%
D 2
 
10.5%
R 1
 
5.3%
T 1
 
5.3%
P 1
 
5.3%
J 1
 
5.3%
H 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
* 1188
84.0%
, 226
 
16.0%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1248
100.0%
Close Punctuation
ValueCountFrequency (%)
) 227
100.0%
Open Punctuation
ValueCountFrequency (%)
( 227
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4075
56.1%
Common 3167
43.6%
Latin 19
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 506
 
12.4%
대 323
 
7.9%
동 316
 
7.8%
시 244
 
6.0%
역 237
 
5.8%
광 235
 
5.8%
로 233
 
5.7%
층 184
 
4.5%
성 103
 
2.5%
길 88
 
2.2%
Other values (210) 1606
39.4%
Latin
ValueCountFrequency (%)
S 5
26.3%
K 3
15.8%
B 2
 
10.5%
A 2
 
10.5%
D 2
 
10.5%
R 1
 
5.3%
T 1
 
5.3%
P 1
 
5.3%
J 1
 
5.3%
H 1
 
5.3%
Common
ValueCountFrequency (%)
1248
39.4%
* 1188
37.5%
) 227
 
7.2%
( 227
 
7.2%
, 226
 
7.1%
- 48
 
1.5%
~ 2
 
0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4075
56.1%
ASCII 3186
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1248
39.2%
* 1188
37.3%
) 227
 
7.1%
( 227
 
7.1%
, 226
 
7.1%
- 48
 
1.5%
S 5
 
0.2%
K 3
 
0.1%
B 2
 
0.1%
A 2
 
0.1%
Other values (8) 10
 
0.3%
Hangul
ValueCountFrequency (%)
구 506
 
12.4%
대 323
 
7.9%
동 316
 
7.8%
시 244
 
6.0%
역 237
 
5.8%
광 235
 
5.8%
로 233
 
5.7%
층 184
 
4.5%
성 103
 
2.5%
길 88
 
2.2%
Other values (210) 1606
39.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)74.0%
Missing14
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean42007.94
Minimum41000
Maximum43008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T02:51:23.544264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41065
Q141513.5
median42014
Q342486
95-th percentile42911.2
Maximum43008
Range2008
Interquartile range (IQR)972.5

Descriptive statistics

Standard deviation582.31066
Coefficient of variation (CV)0.013861919
Kurtosis-1.1062125
Mean42007.94
Median Absolute Deviation (MAD)494
Skewness-0.06047427
Sum9871866
Variance339085.71
MonotonicityNot monotonic
2023-12-11T02:51:23.993866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42709 4
 
1.6%
41475 4
 
1.6%
41832 4
 
1.6%
41028 3
 
1.2%
42922 3
 
1.2%
42975 3
 
1.2%
42910 3
 
1.2%
42160 3
 
1.2%
42140 3
 
1.2%
42175 3
 
1.2%
Other values (164) 202
81.1%
(Missing) 14
 
5.6%
ValueCountFrequency (%)
41000 1
 
0.4%
41026 1
 
0.4%
41028 3
1.2%
41033 1
 
0.4%
41035 1
 
0.4%
41040 1
 
0.4%
41059 2
0.8%
41061 1
 
0.4%
41065 2
0.8%
41068 1
 
0.4%
ValueCountFrequency (%)
43008 1
 
0.4%
42975 3
1.2%
42974 1
 
0.4%
42922 3
1.2%
42921 1
 
0.4%
42918 2
0.8%
42914 1
 
0.4%
42910 3
1.2%
42905 1
 
0.4%
42903 1
 
0.4%

사업장명
Text

Distinct212
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T02:51:24.574030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length7.2008032
Min length2

Characters and Unicode

Total characters1793
Distinct characters292
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique186 ?
Unique (%)74.7%

Sample

1st row(주)리뉴메디
2nd row(주)엠지뉴턴
3rd row주식회사 에프엔디
4th row(주)에이지블루
5th row코엘
ValueCountFrequency (%)
주식회사 25
 
8.5%
주식회사월드라인 5
 
1.7%
주)쓰리에이치 4
 
1.4%
주 4
 
1.4%
에이팜 4
 
1.4%
오롯이 4
 
1.4%
와이제이그룹 3
 
1.0%
안상규벌꿀 3
 
1.0%
오푸드 3
 
1.0%
f&d 3
 
1.0%
Other values (210) 235
80.2%
2023-12-11T02:51:25.577830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 126
 
7.0%
이 106
 
5.9%
) 86
 
4.8%
( 86
 
4.8%
사 64
 
3.6%
회 56
 
3.1%
식 55
 
3.1%
리 47
 
2.6%
스 44
 
2.5%
44
 
2.5%
Other values (282) 1079
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1497
83.5%
Close Punctuation 86
 
4.8%
Open Punctuation 86
 
4.8%
Space Separator 44
 
2.5%
Uppercase Letter 38
 
2.1%
Lowercase Letter 36
 
2.0%
Other Punctuation 5
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 126
 
8.4%
이 106
 
7.1%
사 64
 
4.3%
회 56
 
3.7%
식 55
 
3.7%
리 47
 
3.1%
스 44
 
2.9%
에 40
 
2.7%
오 30
 
2.0%
인 25
 
1.7%
Other values (246) 904
60.4%
Uppercase Letter
ValueCountFrequency (%)
C 5
13.2%
F 4
10.5%
D 4
10.5%
K 3
7.9%
P 3
7.9%
H 3
7.9%
N 3
7.9%
O 2
 
5.3%
E 2
 
5.3%
T 2
 
5.3%
Other values (6) 7
18.4%
Lowercase Letter
ValueCountFrequency (%)
o 6
16.7%
a 5
13.9%
e 4
11.1%
m 4
11.1%
h 3
8.3%
r 2
 
5.6%
s 2
 
5.6%
p 2
 
5.6%
n 2
 
5.6%
y 2
 
5.6%
Other values (4) 4
11.1%
Other Punctuation
ValueCountFrequency (%)
& 4
80.0%
. 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1497
83.5%
Common 222
 
12.4%
Latin 74
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 126
 
8.4%
이 106
 
7.1%
사 64
 
4.3%
회 56
 
3.7%
식 55
 
3.7%
리 47
 
3.1%
스 44
 
2.9%
에 40
 
2.7%
오 30
 
2.0%
인 25
 
1.7%
Other values (246) 904
60.4%
Latin
ValueCountFrequency (%)
o 6
 
8.1%
a 5
 
6.8%
C 5
 
6.8%
F 4
 
5.4%
e 4
 
5.4%
D 4
 
5.4%
m 4
 
5.4%
K 3
 
4.1%
P 3
 
4.1%
H 3
 
4.1%
Other values (20) 33
44.6%
Common
ValueCountFrequency (%)
) 86
38.7%
( 86
38.7%
44
19.8%
& 4
 
1.8%
. 1
 
0.5%
2 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1497
83.5%
ASCII 296
 
16.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 126
 
8.4%
이 106
 
7.1%
사 64
 
4.3%
회 56
 
3.7%
식 55
 
3.7%
리 47
 
3.1%
스 44
 
2.9%
에 40
 
2.7%
오 30
 
2.0%
인 25
 
1.7%
Other values (246) 904
60.4%
ASCII
ValueCountFrequency (%)
) 86
29.1%
( 86
29.1%
44
14.9%
o 6
 
2.0%
a 5
 
1.7%
C 5
 
1.7%
F 4
 
1.4%
e 4
 
1.4%
& 4
 
1.4%
D 4
 
1.4%
Other values (26) 48
16.2%

최종수정시점
Real number (ℝ)

Distinct247
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0181907 × 1013
Minimum2.0040615 × 1013
Maximum2.022083 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T02:51:25.972772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040615 × 1013
5-th percentile2.0090306 × 1013
Q12.0170727 × 1013
median2.0200117 × 1013
Q32.0210819 × 1013
95-th percentile2.0220479 × 1013
Maximum2.022083 × 1013
Range1.8021517 × 1011
Interquartile range (IQR)4.0092062 × 1010

Descriptive statistics

Standard deviation4.1811183 × 1010
Coefficient of variation (CV)0.0020717162
Kurtosis1.7991789
Mean2.0181907 × 1013
Median Absolute Deviation (MAD)1.898802 × 1010
Skewness-1.5234845
Sum5.0252949 × 1015
Variance1.748175 × 1021
MonotonicityNot monotonic
2023-12-11T02:51:26.339373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130328150015 2
 
0.8%
20061106000000 2
 
0.8%
20171227153729 1
 
0.4%
20211005164045 1
 
0.4%
20211005163644 1
 
0.4%
20211007171054 1
 
0.4%
20201106111244 1
 
0.4%
20220210150625 1
 
0.4%
20220817102251 1
 
0.4%
20220802132158 1
 
0.4%
Other values (237) 237
95.2%
ValueCountFrequency (%)
20040615000000 1
0.4%
20040719000000 1
0.4%
20040907000000 1
0.4%
20041202000000 1
0.4%
20060721000000 1
0.4%
20060725000000 1
0.4%
20061106000000 2
0.8%
20071101134112 1
0.4%
20080904110813 1
0.4%
20081104113435 1
0.4%
ValueCountFrequency (%)
20220830172019 1
0.4%
20220823100414 1
0.4%
20220823094336 1
0.4%
20220817102251 1
0.4%
20220802132158 1
0.4%
20220801160547 1
0.4%
20220728172210 1
0.4%
20220714170439 1
0.4%
20220609175709 1
0.4%
20220608173720 1
0.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
U
133 
I
116 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 133
53.4%
I 116
46.6%

Length

2023-12-11T02:51:26.639202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:26.868312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 133
53.4%
i 116
46.6%

데이터갱신일자
Date

Distinct160
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-08-31 23:59:59
Maximum2022-09-01 02:40:00
2023-12-11T02:51:27.125002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:51:28.066051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
건강기능식품유통전문판매업
249 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품유통전문판매업 249
100.0%

Length

2023-12-11T02:51:28.375850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:28.568557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 249
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct213
Distinct (%)88.8%
Missing9
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean343254.74
Minimum325937.57
Maximum357984.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T02:51:28.770264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325937.57
5-th percentile332206.66
Q1340204.69
median344193.99
Q3346588.25
95-th percentile352849.68
Maximum357984.72
Range32047.151
Interquartile range (IQR)6383.563

Descriptive statistics

Standard deviation5682.9289
Coefficient of variation (CV)0.01655601
Kurtosis0.71217945
Mean343254.74
Median Absolute Deviation (MAD)2777.0574
Skewness-0.42214447
Sum82381139
Variance32295681
MonotonicityNot monotonic
2023-12-11T02:51:29.098652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341130.695482 4
 
1.6%
346971.046144 3
 
1.2%
334621.225167 3
 
1.2%
341851.7649 3
 
1.2%
344940.956105 3
 
1.2%
352849.678342 2
 
0.8%
345617.770297 2
 
0.8%
353886.322185 2
 
0.8%
343716.960047 2
 
0.8%
346719.597553 2
 
0.8%
Other values (203) 214
85.9%
(Missing) 9
 
3.6%
ValueCountFrequency (%)
325937.566452 1
0.4%
328117.182705 1
0.4%
328311.018298 1
0.4%
328311.080892 1
0.4%
328342.107973 1
0.4%
328895.94879 1
0.4%
329002.862036 1
0.4%
332065.148492 1
0.4%
332163.069053 1
0.4%
332176.052745 2
0.8%
ValueCountFrequency (%)
357984.717178 1
0.4%
356698.367083 1
0.4%
356351.617491 1
0.4%
356267.166058 1
0.4%
355787.812497 1
0.4%
355709.189343 1
0.4%
354108.292989 1
0.4%
354079.749787 1
0.4%
353886.322185 2
0.8%
353654.387261 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct213
Distinct (%)88.8%
Missing9
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean263820.95
Minimum240649.76
Maximum277749.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T02:51:29.426191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240649.76
5-th percentile259495.48
Q1261693.22
median263802.31
Q3265356.6
95-th percentile270445.91
Maximum277749.02
Range37099.259
Interquartile range (IQR)3663.3852

Descriptive statistics

Standard deviation3849.4451
Coefficient of variation (CV)0.014591127
Kurtosis6.2824433
Mean263820.95
Median Absolute Deviation (MAD)1843.0356
Skewness-0.55876186
Sum63317029
Variance14818227
MonotonicityNot monotonic
2023-12-11T02:51:29.813177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264088.775394 4
 
1.6%
265744.422598 3
 
1.2%
262044.332358 3
 
1.2%
264386.730931 3
 
1.2%
263802.308312 3
 
1.2%
261650.529169 2
 
0.8%
261089.23512 2
 
0.8%
266441.252157 2
 
0.8%
261711.25554 2
 
0.8%
260970.583081 2
 
0.8%
Other values (203) 214
85.9%
(Missing) 9
 
3.6%
ValueCountFrequency (%)
240649.764742 1
0.4%
252522.670293 1
0.4%
252890.333819 1
0.4%
252940.836113 1
0.4%
253278.387916 1
0.4%
257286.897263 1
0.4%
257494.679484 1
0.4%
257852.235746 1
0.4%
258320.666927 1
0.4%
258439.272892 2
0.8%
ValueCountFrequency (%)
277749.024029 1
0.4%
273994.885719 1
0.4%
273737.60685 1
0.4%
273554.526036 1
0.4%
272619.438482 1
0.4%
272411.512877 1
0.4%
272277.564167 1
0.4%
271941.364327 1
0.4%
271813.615309 1
0.4%
271304.871491 1
0.4%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
건강기능식품유통전문판매업
249 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품유통전문판매업 249
100.0%

Length

2023-12-11T02:51:30.229548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:30.420288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 249
100.0%

남성종사자수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
186 
0
63 

Length

Max length4
Median length4
Mean length3.2409639
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 186
74.7%
0 63
 
25.3%

Length

2023-12-11T02:51:30.694028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:30.946641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 186
74.7%
0 63
 
25.3%

여성종사자수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
186 
0
63 

Length

Max length4
Median length4
Mean length3.2409639
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 186
74.7%
0 63
 
25.3%

Length

2023-12-11T02:51:31.283191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:31.551172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 186
74.7%
0 63
 
25.3%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing249
Missing (%)100.0%
Memory size2.3 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing249
Missing (%)100.0%
Memory size2.3 KiB

급수시설구분명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
215 
상수도전용
34 

Length

Max length5
Median length4
Mean length4.1365462
Min length4

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> 215
86.3%
상수도전용 34
 
13.7%

Length

2023-12-11T02:51:31.883501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:32.116297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 215
86.3%
상수도전용 34
 
13.7%

총직원수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
189 
0
60 

Length

Max length4
Median length4
Mean length3.2771084
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 189
75.9%
0 60
 
24.1%

Length

2023-12-11T02:51:32.445333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:32.810381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 189
75.9%
0 60
 
24.1%

본사직원수
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
183 
<NA>
65 
3
 
1

Length

Max length4
Median length1
Mean length1.7831325
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 183
73.5%
<NA> 65
 
26.1%
3 1
 
0.4%

Length

2023-12-11T02:51:33.122118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:33.436560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 183
73.5%
na 65
 
26.1%
3 1
 
0.4%

공장사무직직원수
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
177 
<NA>
65 
1
 
5
2
 
2

Length

Max length4
Median length1
Mean length1.7831325
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 177
71.1%
<NA> 65
 
26.1%
1 5
 
2.0%
2 2
 
0.8%

Length

2023-12-11T02:51:33.815348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:34.219965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 177
71.1%
na 65
 
26.1%
1 5
 
2.0%
2 2
 
0.8%

공장판매직직원수
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
176 
<NA>
65 
1
 
6
2
 
2

Length

Max length4
Median length1
Mean length1.7831325
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 176
70.7%
<NA> 65
 
26.1%
1 6
 
2.4%
2 2
 
0.8%

Length

2023-12-11T02:51:34.581221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:34.863958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 176
70.7%
na 65
 
26.1%
1 6
 
2.4%
2 2
 
0.8%

공장생산직직원수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
184 
<NA>
65 

Length

Max length4
Median length1
Mean length1.7831325
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 184
73.9%
<NA> 65
 
26.1%

Length

2023-12-11T02:51:35.217808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:35.568664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 184
73.9%
na 65
 
26.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
185 
자가
36 
임대
28 

Length

Max length4
Median length4
Mean length3.4859438
Min length2

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> 185
74.3%
자가 36
 
14.5%
임대 28
 
11.2%

Length

2023-12-11T02:51:35.876683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:36.227019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 185
74.3%
자가 36
 
14.5%
임대 28
 
11.2%

보증액
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
186 
0
63 

Length

Max length4
Median length4
Mean length3.2409639
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 186
74.7%
0 63
 
25.3%

Length

2023-12-11T02:51:36.582036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:36.857135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 186
74.7%
0 63
 
25.3%

월세액
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
186 
0
63 

Length

Max length4
Median length4
Mean length3.2409639
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 186
74.7%
0 63
 
25.3%

Length

2023-12-11T02:51:37.187004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:51:37.506381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 186
74.7%
0 63
 
25.3%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size381.0 B
False
249 
ValueCountFrequency (%)
False 249
100.0%
2023-12-11T02:51:37.841100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6905622
Minimum0
Maximum377.92
Zeros238
Zeros (%)95.6%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T02:51:38.123131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum377.92
Range377.92
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.072583
Coefficient of variation (CV)9.6903844
Kurtosis178.41398
Mean2.6905622
Median Absolute Deviation (MAD)0
Skewness12.892489
Sum669.95
Variance679.77956
MonotonicityNot monotonic
2023-12-11T02:51:38.429666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 238
95.6%
64.9 1
 
0.4%
25.13 1
 
0.4%
4.0 1
 
0.4%
10.0 1
 
0.4%
377.92 1
 
0.4%
9.1 1
 
0.4%
10.5 1
 
0.4%
2.4 1
 
0.4%
3.0 1
 
0.4%
Other values (2) 2
 
0.8%
ValueCountFrequency (%)
0.0 238
95.6%
2.4 1
 
0.4%
3.0 1
 
0.4%
4.0 1
 
0.4%
9.1 1
 
0.4%
10.0 1
 
0.4%
10.5 1
 
0.4%
14.0 1
 
0.4%
25.13 1
 
0.4%
64.9 1
 
0.4%
ValueCountFrequency (%)
377.92 1
0.4%
149.0 1
0.4%
64.9 1
0.4%
25.13 1
0.4%
14.0 1
0.4%
10.5 1
0.4%
10.0 1
0.4%
9.1 1
0.4%
4.0 1
0.4%
3.0 1
0.4%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing249
Missing (%)100.0%
Memory size2.3 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing249
Missing (%)100.0%
Memory size2.3 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing249
Missing (%)100.0%
Memory size2.3 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01건강기능식품유통전문판매업07_22_02_P34100003410000-135-2019-0000420190619<NA>1영업/정상1영업<NA><NA><NA><NA><NA>31.4700832대구광역시 중구 남산동 ****-****번지 메디스퀘어 ***호대구광역시 중구 달구벌대로 ****, 메디스퀘어 ***호 (남산동)41967(주)리뉴메디20190705180728U2019-07-07 02:40:00.0건강기능식품유통전문판매업343781.931234263965.879869건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
12건강기능식품유통전문판매업07_22_02_P34100003410000-135-2017-0000120171109<NA>3폐업2폐업20201223<NA><NA><NA><NA>45.0700412대구광역시 중구 삼덕동*가 ****-**** 미르치과병원 **층대구광역시 중구 공평로 ** (삼덕동*가, 미르치과병원 **층)41940(주)엠지뉴턴20201223134629U2020-12-25 02:40:00.0건강기능식품유통전문판매업344447.949671263940.739988건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
23건강기능식품유통전문판매업07_22_02_P34100003410000-135-2020-0000120200115<NA>1영업/정상1영업<NA><NA><NA><NA>180083624.0700092대구광역시 중구 동성로*가 ****-****번지대구광역시 중구 국채보상로 ***, **층 (동성로*가)41937주식회사 에프엔디20200129201614U2020-01-31 02:40:00.0건강기능식품유통전문판매업343959.823762264529.39356건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
34건강기능식품유통전문판매업07_22_02_P34100003410000-135-2020-0000320200728<NA>1영업/정상1영업<NA><NA><NA><NA>050 5555969036.69700413대구광역시 중구 삼덕동*가 **** 움비어스오피스텔대구광역시 중구 동덕로**길 **, 움비어스오피스텔 ***호 (삼덕동*가)41946(주)에이지블루20200911173913U2020-09-13 02:40:00.0건강기능식품유통전문판매업345242.909438264091.856847건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
45건강기능식품유통전문판매업07_22_02_P34100003410000-135-2021-0000320210823<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>700413대구광역시 중구 삼덕동*가 ****-**** *층대구광역시 중구 동덕로**길 **, *층 (삼덕동*가)41946코엘20210823132913I2021-08-25 00:22:50.0건강기능식품유통전문판매업345255.927779264088.89938건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
56건강기능식품유통전문판매업07_22_02_P34100003410000-135-2021-0000220210524<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>700180대구광역시 중구 동문동 ****-**** 패션쥬얼리 전문타운 *층대구광역시 중구 경상감영길 ***, 패션쥬얼리 전문타운 *층 (동문동)41913리브유20210524141655I2021-05-26 00:22:56.0건강기능식품유통전문판매업344123.607113264682.567328건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
67건강기능식품유통전문판매업07_22_02_P34100003410000-135-2021-0000120210326<NA>1영업/정상1영업<NA><NA><NA><NA>053 423602337.0700831대구광역시 중구 남산동 ****-**** 반월당SK허브스카이아파트 ***호대구광역시 중구 중앙대로 ***, ***호 (남산동, 반월당SK허브스카이아파트)41967주식회사 비채라이프20210422104615U2021-04-24 02:40:00.0건강기능식품유통전문판매업343770.758234263623.262721건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
78건강기능식품유통전문판매업07_22_02_P34100003410000-135-2018-0000120180307<NA>1영업/정상1영업<NA><NA><NA><NA><NA>6.0700823대구광역시 중구 봉산동 ****-****번지 지상**층대구광역시 중구 이천로 ***, **층 (봉산동)41959제일에스네트웍스20180307134955I2018-08-31 23:59:59.0건강기능식품유통전문판매업344357.504884263636.780913건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
89건강기능식품유통전문판매업07_22_02_P34100003410000-135-2017-0000220171124<NA>1영업/정상1영업<NA><NA><NA><NA>05321707053.7700806대구광역시 중구 남산동 ****-****번지 지상*층대구광역시 중구 남산로 ** (남산동, 지상*층)41975한국아크셀 유한회사20191205173600U2019-12-07 02:40:00.0건강기능식품유통전문판매업342826.756531263824.293143건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
910건강기능식품유통전문판매업07_22_02_P34100003410000-135-2019-0000120190116<NA>3폐업2폐업20200316<NA><NA><NA><NA>52.8700713대구광역시 중구 동산동 ****-****번지 섬유회관 ***호대구광역시 중구 국채보상로 ***, 섬유회관 ***호 (동산동)41931새숨(saesoom)20200316111609U2020-03-18 02:40:00.0건강기능식품유통전문판매업343006.594414264504.47934건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
239240건강기능식품유통전문판매업07_22_02_P34800003480000-135-2020-0000320200914<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>711815대구광역시 달성군 다사읍 죽곡리 ***-* *층대구광역시 달성군 다사읍 대실역남로 **, *층42918온유20200914115821I2020-09-16 00:23:12.0건강기능식품유통전문판매업332208.09902262736.994473건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
240241건강기능식품유통전문판매업07_22_02_P34800003480000-135-2021-0000420210415<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0711814대구광역시 달성군 다사읍 세천리 ****-*대구광역시 달성군 다사읍 세천로**길 **42922태광20220823100414I2022-08-25 00:22:37.0건강기능식품유통전문판매업332987.039749264990.963906건강기능식품유통전문판매업00<NA><NA><NA>00000자가00N0.0<NA><NA><NA>
241242건강기능식품유통전문판매업07_22_02_P34800003480000-135-2016-0000220160622<NA>1영업/정상1영업<NA><NA><NA><NA>053 248 186015.0711814대구광역시 달성군 다사읍 세천리 ****-*번지대구광역시 달성군 다사읍 세천북로*길 **-*, *층42922평산네이처20160622143045I2018-08-31 23:59:59.0건강기능식품유통전문판매업333532.782282265310.700363건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
242243건강기능식품유통전문판매업07_22_02_P34800003480000-135-2015-0000220151109<NA>3폐업2폐업20190523<NA><NA><NA><NA>42.69711812대구광역시 달성군 다사읍 매곡리 ***번지 ***호대구광역시 달성군 다사읍 왕선로 **, *층 ***호42910에이치앤비홀딩스20190523103104I2019-05-25 02:20:54.0건강기능식품유통전문판매업332176.052745263770.873143건강기능식품유통전문판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
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