Overview

Dataset statistics

Number of variables47
Number of observations232
Missing cells2386
Missing cells (%)21.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory92.3 KiB
Average record size in memory407.6 B

Variable types

Numeric11
Categorical20
Text5
Unsupported9
DateTime1
Boolean1

Dataset

Description22년02월_6270000_대구광역시_07_22_02_P_건강기능식품유통전문판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092438&dataSetDetailId=DDI_0000092486&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 232 (100.0%) missing valuesMissing
폐업일자 has 104 (44.8%) missing valuesMissing
휴업시작일자 has 232 (100.0%) missing valuesMissing
휴업종료일자 has 232 (100.0%) missing valuesMissing
재개업일자 has 232 (100.0%) missing valuesMissing
소재지전화 has 103 (44.4%) missing valuesMissing
소재지면적 has 51 (22.0%) missing valuesMissing
도로명전체주소 has 14 (6.0%) missing valuesMissing
도로명우편번호 has 14 (6.0%) missing valuesMissing
좌표정보(X) has 6 (2.6%) missing valuesMissing
좌표정보(Y) has 6 (2.6%) missing valuesMissing
영업장주변구분명 has 232 (100.0%) missing valuesMissing
등급구분명 has 232 (100.0%) missing valuesMissing
전통업소지정번호 has 232 (100.0%) missing valuesMissing
전통업소주된음식 has 232 (100.0%) missing valuesMissing
홈페이지 has 232 (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 15 (6.5%) zerosZeros
시설총규모 has 224 (96.6%) zerosZeros

Reproduction

Analysis started2024-04-21 22:07:47.778580
Analysis finished2024-04-21 22:07:49.026556
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct232
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.5
Minimum1
Maximum232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-22T07:07:49.216846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.55
Q158.75
median116.5
Q3174.25
95-th percentile220.45
Maximum232
Range231
Interquartile range (IQR)115.5

Descriptive statistics

Standard deviation67.116814
Coefficient of variation (CV)0.57610999
Kurtosis-1.2
Mean116.5
Median Absolute Deviation (MAD)58
Skewness0
Sum27028
Variance4504.6667
MonotonicityStrictly increasing
2024-04-22T07:07:49.645460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
161 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
156 1
 
0.4%
Other values (222) 222
95.7%
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 (%)
232 1
0.4%
231 1
0.4%
230 1
0.4%
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
건강기능식품유통전문판매업
232 

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 232
100.0%

Length

2024-04-22T07:07:50.045446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:07:50.328180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 232
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
07_22_02_P
232 

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 232
100.0%

Length

2024-04-22T07:07:50.628625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:07:50.915358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_02_p 232
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445431
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-22T07:07:51.179996image/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 deviation22597.255
Coefficient of variation (CV)0.0065586147
Kurtosis-1.3527171
Mean3445431
Median Absolute Deviation (MAD)20000
Skewness-0.18506895
Sum7.9934 × 108
Variance5.1063592 × 108
MonotonicityIncreasing
2024-04-22T07:07:51.567179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 45
19.4%
3420000 41
17.7%
3470000 41
17.7%
3450000 27
11.6%
3410000 26
11.2%
3430000 18
 
7.8%
3440000 18
 
7.8%
3480000 16
 
6.9%
ValueCountFrequency (%)
3410000 26
11.2%
3420000 41
17.7%
3430000 18
 
7.8%
3440000 18
 
7.8%
3450000 27
11.6%
3460000 45
19.4%
3470000 41
17.7%
3480000 16
 
6.9%
ValueCountFrequency (%)
3480000 16
 
6.9%
3470000 41
17.7%
3460000 45
19.4%
3450000 27
11.6%
3440000 18
 
7.8%
3430000 18
 
7.8%
3420000 41
17.7%
3410000 26
11.2%

관리번호
Text

UNIQUE 

Distinct232
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-22T07:07:52.316151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters5104
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

Unique232 ?
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%
3460000-135-2015-00003 1
 
0.4%
3460000-135-2012-00001 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%
3460000-135-2011-00001 1
 
0.4%
3460000-135-2015-00005 1
 
0.4%
Other values (222) 222
95.7%
2024-04-22T07:07:53.424248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2143
42.0%
- 696
 
13.6%
1 537
 
10.5%
3 527
 
10.3%
2 401
 
7.9%
4 296
 
5.8%
5 295
 
5.8%
6 73
 
1.4%
7 61
 
1.2%
8 38
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4408
86.4%
Dash Punctuation 696
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2143
48.6%
1 537
 
12.2%
3 527
 
12.0%
2 401
 
9.1%
4 296
 
6.7%
5 295
 
6.7%
6 73
 
1.7%
7 61
 
1.4%
8 38
 
0.9%
9 37
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 696
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5104
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2143
42.0%
- 696
 
13.6%
1 537
 
10.5%
3 527
 
10.3%
2 401
 
7.9%
4 296
 
5.8%
5 295
 
5.8%
6 73
 
1.4%
7 61
 
1.2%
8 38
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2143
42.0%
- 696
 
13.6%
1 537
 
10.5%
3 527
 
10.3%
2 401
 
7.9%
4 296
 
5.8%
5 295
 
5.8%
6 73
 
1.4%
7 61
 
1.2%
8 38
 
0.7%

인허가일자
Real number (ℝ)

Distinct188
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20156941
Minimum20040610
Maximum20220221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-22T07:07:53.676661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040610
5-th percentile20050461
Q120130624
median20165772
Q320191231
95-th percentile20211117
Maximum20220221
Range179611
Interquartile range (IQR)60607

Descriptive statistics

Standard deviation48452.57
Coefficient of variation (CV)0.002403766
Kurtosis-0.055073827
Mean20156941
Median Absolute Deviation (MAD)34388.5
Skewness-0.88317987
Sum4.6764104 × 109
Variance2.3476516 × 109
MonotonicityNot monotonic
2024-04-22T07:07:54.016468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160622 6
 
2.6%
20151109 4
 
1.7%
20190517 4
 
1.7%
20151216 3
 
1.3%
20120529 3
 
1.3%
20190508 3
 
1.3%
20130328 3
 
1.3%
20210929 3
 
1.3%
20070110 2
 
0.9%
20190712 2
 
0.9%
Other values (178) 199
85.8%
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 (%)
20220221 1
0.4%
20220216 2
0.9%
20220203 1
0.4%
20211230 1
0.4%
20211228 1
0.4%
20211217 1
0.4%
20211207 1
0.4%
20211123 1
0.4%
20211122 1
0.4%
20211119 1
0.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
3
128 
1
104 

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 (%)
3 128
55.2%
1 104
44.8%

Length

2024-04-22T07:07:54.444499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:07:54.737727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 128
55.2%
1 104
44.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
폐업
128 
영업/정상
104 

Length

Max length5
Median length2
Mean length3.3448276
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 128
55.2%
영업/정상 104
44.8%

Length

2024-04-22T07:07:55.388839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:07:55.716502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 128
55.2%
영업/정상 104
44.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2
128 
1
104 

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 (%)
2 128
55.2%
1 104
44.8%

Length

2024-04-22T07:07:56.031885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:07:56.321790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 128
55.2%
1 104
44.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
폐업
128 
영업
104 

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 128
55.2%
영업 104
44.8%

Length

2024-04-22T07:07:56.634414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:07:56.924481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 128
55.2%
영업 104
44.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct119
Distinct (%)93.0%
Missing104
Missing (%)44.8%
Infinite0
Infinite (%)0.0%
Mean20167451
Minimum20051213
Maximum20220221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-22T07:07:57.261759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20051213
5-th percentile20084284
Q120141226
median20180708
Q320200169
95-th percentile20211036
Maximum20220221
Range169008
Interquartile range (IQR)58943.5

Descriptive statistics

Standard deviation39015.033
Coefficient of variation (CV)0.0019345545
Kurtosis0.5278422
Mean20167451
Median Absolute Deviation (MAD)20455
Skewness-1.0109216
Sum2.5814337 × 109
Variance1.5221728 × 109
MonotonicityNot monotonic
2024-04-22T07:07:57.716381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191217 3
 
1.3%
20220203 2
 
0.9%
20190109 2
 
0.9%
20181115 2
 
0.9%
20210118 2
 
0.9%
20210622 2
 
0.9%
20191030 2
 
0.9%
20180808 2
 
0.9%
20180417 1
 
0.4%
20051213 1
 
0.4%
Other values (109) 109
47.0%
(Missing) 104
44.8%
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 (%)
20220221 1
0.4%
20220203 2
0.9%
20220114 1
0.4%
20211228 1
0.4%
20211123 1
0.4%
20211102 1
0.4%
20210914 1
0.4%
20210819 1
0.4%
20210622 2
0.9%
20210504 1
0.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

소재지전화
Text

MISSING 

Distinct108
Distinct (%)83.7%
Missing103
Missing (%)44.4%
Memory size1.9 KiB
2024-04-22T07:07:58.703556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.310078
Min length3

Characters and Unicode

Total characters1459
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 (%)72.1%

Sample

1st row18008362
2nd row050 55559690
3rd row053 4236023
4th row0532170705
5th row05052554545
ValueCountFrequency (%)
053 91
30.4%
070 10
 
3.3%
985 4
 
1.3%
324 4
 
1.3%
3341 3
 
1.0%
07075701074 3
 
1.0%
0156 3
 
1.0%
2926389 3
 
1.0%
9824 3
 
1.0%
719 3
 
1.0%
Other values (151) 172
57.5%
2024-04-22T07:08:00.060495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 249
17.1%
5 233
16.0%
3 174
11.9%
171
11.7%
7 118
8.1%
2 110
7.5%
8 88
 
6.0%
1 85
 
5.8%
9 81
 
5.6%
4 76
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1288
88.3%
Space Separator 171
 
11.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 249
19.3%
5 233
18.1%
3 174
13.5%
7 118
9.2%
2 110
8.5%
8 88
 
6.8%
1 85
 
6.6%
9 81
 
6.3%
4 76
 
5.9%
6 74
 
5.7%
Space Separator
ValueCountFrequency (%)
171
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1459
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 249
17.1%
5 233
16.0%
3 174
11.9%
171
11.7%
7 118
8.1%
2 110
7.5%
8 88
 
6.0%
1 85
 
5.8%
9 81
 
5.6%
4 76
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1459
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 249
17.1%
5 233
16.0%
3 174
11.9%
171
11.7%
7 118
8.1%
2 110
7.5%
8 88
 
6.0%
1 85
 
5.8%
9 81
 
5.6%
4 76
 
5.2%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct140
Distinct (%)77.3%
Missing51
Missing (%)22.0%
Infinite0
Infinite (%)0.0%
Mean67.769282
Minimum0
Maximum493
Zeros15
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-22T07:08:00.481653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117
median40.67
Q383.04
95-th percentile226
Maximum493
Range493
Interquartile range (IQR)66.04

Descriptive statistics

Standard deviation79.587896
Coefficient of variation (CV)1.1743949
Kurtosis7.3062483
Mean67.769282
Median Absolute Deviation (MAD)27.57
Skewness2.4213022
Sum12266.24
Variance6334.2331
MonotonicityNot monotonic
2024-04-22T07:08:00.937757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 15
 
6.5%
15.0 5
 
2.2%
33.0 4
 
1.7%
16.5 4
 
1.7%
35.0 3
 
1.3%
70.71 3
 
1.3%
76.0 3
 
1.3%
89.76 2
 
0.9%
16.4 2
 
0.9%
29.82 2
 
0.9%
Other values (130) 138
59.5%
(Missing) 51
 
22.0%
ValueCountFrequency (%)
0.0 15
6.5%
2.0 1
 
0.4%
3.0 2
 
0.9%
3.7 1
 
0.4%
4.0 1
 
0.4%
4.6 1
 
0.4%
6.0 1
 
0.4%
6.3 1
 
0.4%
6.6 1
 
0.4%
9.0 1
 
0.4%
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
0.9%
226.0 1
0.4%
215.72 1
0.4%

소재지우편번호
Real number (ℝ)

Distinct151
Distinct (%)65.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean702915.74
Minimum367801
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-22T07:08:01.352205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367801
5-th percentile700413
Q1701840
median704070
Q3706152.5
95-th percentile711812.9
Maximum711891
Range344090
Interquartile range (IQR)4312.5

Descriptive statistics

Standard deviation22288.465
Coefficient of variation (CV)0.031708587
Kurtosis224.013
Mean702915.74
Median Absolute Deviation (MAD)2228.5
Skewness-14.836288
Sum1.6307645 × 108
Variance4.9677567 × 108
MonotonicityNot monotonic
2024-04-22T07:08:01.798535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700413 5
 
2.2%
703846 5
 
2.2%
704919 4
 
1.7%
702894 4
 
1.7%
700823 4
 
1.7%
701170 4
 
1.7%
711812 4
 
1.7%
703814 3
 
1.3%
701816 3
 
1.3%
701835 3
 
1.3%
Other values (141) 193
83.2%
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
 
0.9%
700413 5
2.2%
700713 1
 
0.4%
ValueCountFrequency (%)
711891 1
 
0.4%
711856 1
 
0.4%
711851 3
1.3%
711823 1
 
0.4%
711821 1
 
0.4%
711815 2
0.9%
711814 3
1.3%
711812 4
1.7%
706853 1
 
0.4%
706852 3
1.3%

소재지전체주소
Text

Distinct198
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-22T07:08:02.665566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length25.465517
Min length17

Characters and Unicode

Total characters5908
Distinct characters207
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

Unique171 ?
Unique (%)73.7%

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 231
20.9%
번지 141
 
12.8%
92
 
8.3%
수성구 44
 
4.0%
동구 41
 
3.7%
달서구 39
 
3.5%
층 37
 
3.4%
중구 27
 
2.4%
북구 27
 
2.4%
호 23
 
2.1%
Other values (163) 401
36.4%
2024-04-22T07:08:03.985828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1307
22.1%
1086
18.4%
구 460
 
7.8%
동 270
 
4.6%
대 268
 
4.5%
시 235
 
4.0%
광 231
 
3.9%
역 231
 
3.9%
- 205
 
3.5%
지 178
 
3.0%
Other values (197) 1437
24.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3265
55.3%
Other Punctuation 1314
22.2%
Space Separator 1086
 
18.4%
Dash Punctuation 205
 
3.5%
Close Punctuation 13
 
0.2%
Open Punctuation 13
 
0.2%
Uppercase Letter 12
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 460
14.1%
동 270
 
8.3%
대 268
 
8.2%
시 235
 
7.2%
광 231
 
7.1%
역 231
 
7.1%
지 178
 
5.5%
번 141
 
4.3%
성 77
 
2.4%
서 66
 
2.0%
Other values (181) 1108
33.9%
Uppercase Letter
ValueCountFrequency (%)
S 3
25.0%
K 2
16.7%
D 2
16.7%
R 1
 
8.3%
B 1
 
8.3%
J 1
 
8.3%
P 1
 
8.3%
T 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
* 1307
99.5%
, 5
 
0.4%
& 1
 
0.1%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1086
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 205
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3265
55.3%
Common 2631
44.5%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 460
14.1%
동 270
 
8.3%
대 268
 
8.2%
시 235
 
7.2%
광 231
 
7.1%
역 231
 
7.1%
지 178
 
5.5%
번 141
 
4.3%
성 77
 
2.4%
서 66
 
2.0%
Other values (181) 1108
33.9%
Common
ValueCountFrequency (%)
* 1307
49.7%
1086
41.3%
- 205
 
7.8%
) 13
 
0.5%
( 13
 
0.5%
, 5
 
0.2%
& 1
 
< 0.1%
/ 1
 
< 0.1%
Latin
ValueCountFrequency (%)
S 3
25.0%
K 2
16.7%
D 2
16.7%
R 1
 
8.3%
B 1
 
8.3%
J 1
 
8.3%
P 1
 
8.3%
T 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3265
55.3%
ASCII 2643
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1307
49.5%
1086
41.1%
- 205
 
7.8%
) 13
 
0.5%
( 13
 
0.5%
, 5
 
0.2%
S 3
 
0.1%
K 2
 
0.1%
D 2
 
0.1%
R 1
 
< 0.1%
Other values (6) 6
 
0.2%
Hangul
ValueCountFrequency (%)
구 460
14.1%
동 270
 
8.3%
대 268
 
8.2%
시 235
 
7.2%
광 231
 
7.1%
역 231
 
7.1%
지 178
 
5.5%
번 141
 
4.3%
성 77
 
2.4%
서 66
 
2.0%
Other values (181) 1108
33.9%

도로명전체주소
Text

MISSING 

Distinct196
Distinct (%)89.9%
Missing14
Missing (%)6.0%
Memory size1.9 KiB
2024-04-22T07:08:05.006911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47
Mean length30.669725
Min length21

Characters and Unicode

Total characters6686
Distinct characters231
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

Unique179 ?
Unique (%)82.1%

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 218
 
15.9%
218
 
15.9%
층 143
 
10.5%
호 42
 
3.1%
수성구 42
 
3.1%
동구 38
 
2.8%
달서구 37
 
2.7%
북구 26
 
1.9%
중구 25
 
1.8%
지상*층 18
 
1.3%
Other values (270) 560
41.0%
2024-04-22T07:08:06.507161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1149
17.2%
* 1079
16.1%
구 468
 
7.0%
대 300
 
4.5%
동 287
 
4.3%
시 221
 
3.3%
역 219
 
3.3%
광 218
 
3.3%
로 216
 
3.2%
) 211
 
3.2%
Other values (221) 2318
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3767
56.3%
Other Punctuation 1284
 
19.2%
Space Separator 1149
 
17.2%
Close Punctuation 211
 
3.2%
Open Punctuation 211
 
3.2%
Dash Punctuation 46
 
0.7%
Uppercase Letter 16
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 468
 
12.4%
대 300
 
8.0%
동 287
 
7.6%
시 221
 
5.9%
역 219
 
5.8%
광 218
 
5.8%
로 216
 
5.7%
층 172
 
4.6%
성 94
 
2.5%
길 86
 
2.3%
Other values (203) 1486
39.4%
Uppercase Letter
ValueCountFrequency (%)
S 4
25.0%
D 2
12.5%
A 2
12.5%
K 2
12.5%
T 1
 
6.2%
P 1
 
6.2%
J 1
 
6.2%
B 1
 
6.2%
H 1
 
6.2%
R 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
* 1079
84.0%
, 204
 
15.9%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1149
100.0%
Close Punctuation
ValueCountFrequency (%)
) 211
100.0%
Open Punctuation
ValueCountFrequency (%)
( 211
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3767
56.3%
Common 2903
43.4%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 468
 
12.4%
대 300
 
8.0%
동 287
 
7.6%
시 221
 
5.9%
역 219
 
5.8%
광 218
 
5.8%
로 216
 
5.7%
층 172
 
4.6%
성 94
 
2.5%
길 86
 
2.3%
Other values (203) 1486
39.4%
Latin
ValueCountFrequency (%)
S 4
25.0%
D 2
12.5%
A 2
12.5%
K 2
12.5%
T 1
 
6.2%
P 1
 
6.2%
J 1
 
6.2%
B 1
 
6.2%
H 1
 
6.2%
R 1
 
6.2%
Common
ValueCountFrequency (%)
1149
39.6%
* 1079
37.2%
) 211
 
7.3%
( 211
 
7.3%
, 204
 
7.0%
- 46
 
1.6%
~ 2
 
0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3767
56.3%
ASCII 2919
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1149
39.4%
* 1079
37.0%
) 211
 
7.2%
( 211
 
7.2%
, 204
 
7.0%
- 46
 
1.6%
S 4
 
0.1%
D 2
 
0.1%
A 2
 
0.1%
K 2
 
0.1%
Other values (8) 9
 
0.3%
Hangul
ValueCountFrequency (%)
구 468
 
12.4%
대 300
 
8.0%
동 287
 
7.6%
시 221
 
5.9%
역 219
 
5.8%
광 218
 
5.8%
로 216
 
5.7%
층 172
 
4.6%
성 94
 
2.5%
길 86
 
2.3%
Other values (203) 1486
39.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct166
Distinct (%)76.1%
Missing14
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean42017.399
Minimum41000
Maximum43008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-22T07:08:06.924839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41065
Q141517
median42017
Q342495.5
95-th percentile42910.6
Maximum43008
Range2008
Interquartile range (IQR)978.5

Descriptive statistics

Standard deviation582.72533
Coefficient of variation (CV)0.013868667
Kurtosis-1.0820787
Mean42017.399
Median Absolute Deviation (MAD)493
Skewness-0.091932101
Sum9159793
Variance339568.81
MonotonicityNot monotonic
2024-04-22T07:08:07.392027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41475 4
 
1.7%
41832 4
 
1.7%
41028 3
 
1.3%
42975 3
 
1.3%
42910 3
 
1.3%
42709 3
 
1.3%
42160 3
 
1.3%
42140 3
 
1.3%
41567 3
 
1.3%
41809 3
 
1.3%
Other values (156) 186
80.2%
(Missing) 14
 
6.0%
ValueCountFrequency (%)
41000 1
 
0.4%
41026 1
 
0.4%
41028 3
1.3%
41033 1
 
0.4%
41035 1
 
0.4%
41040 1
 
0.4%
41059 1
 
0.4%
41061 1
 
0.4%
41065 2
0.9%
41068 1
 
0.4%
ValueCountFrequency (%)
43008 1
 
0.4%
42975 3
1.3%
42974 1
 
0.4%
42922 2
0.9%
42921 1
 
0.4%
42918 2
0.9%
42914 1
 
0.4%
42910 3
1.3%
42905 1
 
0.4%
42903 1
 
0.4%

사업장명
Text

Distinct197
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-22T07:08:08.282183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length15
Mean length7.1681034
Min length2

Characters and Unicode

Total characters1663
Distinct characters284
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

Unique173 ?
Unique (%)74.6%

Sample

1st row(주)리뉴메디
2nd row(주)엠지뉴턴
3rd row주식회사 에프엔디
4th row(주)에이지블루
5th row코엘
ValueCountFrequency (%)
주식회사 21
 
7.7%
주식회사월드라인 5
 
1.8%
주 5
 
1.8%
오롯이 4
 
1.5%
에이팜 3
 
1.1%
헬스마트 3
 
1.1%
오푸드 3
 
1.1%
f&d 3
 
1.1%
주)쓰리에이치 3
 
1.1%
에인에이(주 3
 
1.1%
Other values (195) 219
80.5%
2024-04-22T07:08:09.567603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 115
 
6.9%
이 99
 
6.0%
) 83
 
5.0%
( 83
 
5.0%
사 55
 
3.3%
회 47
 
2.8%
식 46
 
2.8%
리 46
 
2.8%
스 43
 
2.6%
40
 
2.4%
Other values (274) 1006
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1382
83.1%
Close Punctuation 83
 
5.0%
Open Punctuation 83
 
5.0%
Space Separator 40
 
2.4%
Lowercase Letter 36
 
2.2%
Uppercase Letter 34
 
2.0%
Other Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 115
 
8.3%
이 99
 
7.2%
사 55
 
4.0%
회 47
 
3.4%
식 46
 
3.3%
리 46
 
3.3%
스 43
 
3.1%
에 37
 
2.7%
오 28
 
2.0%
인 24
 
1.7%
Other values (239) 842
60.9%
Uppercase Letter
ValueCountFrequency (%)
F 4
11.8%
D 4
11.8%
C 4
11.8%
K 3
8.8%
P 3
8.8%
H 3
8.8%
T 2
 
5.9%
N 2
 
5.9%
E 2
 
5.9%
M 1
 
2.9%
Other values (6) 6
17.6%
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%
p 2
 
5.6%
n 2
 
5.6%
s 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 (%)
) 83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Space Separator
ValueCountFrequency (%)
40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1382
83.1%
Common 211
 
12.7%
Latin 70
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 115
 
8.3%
이 99
 
7.2%
사 55
 
4.0%
회 47
 
3.4%
식 46
 
3.3%
리 46
 
3.3%
스 43
 
3.1%
에 37
 
2.7%
오 28
 
2.0%
인 24
 
1.7%
Other values (239) 842
60.9%
Latin
ValueCountFrequency (%)
o 6
 
8.6%
a 5
 
7.1%
e 4
 
5.7%
F 4
 
5.7%
D 4
 
5.7%
C 4
 
5.7%
m 4
 
5.7%
K 3
 
4.3%
P 3
 
4.3%
H 3
 
4.3%
Other values (20) 30
42.9%
Common
ValueCountFrequency (%)
) 83
39.3%
( 83
39.3%
40
19.0%
& 4
 
1.9%
. 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1382
83.1%
ASCII 281
 
16.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 115
 
8.3%
이 99
 
7.2%
사 55
 
4.0%
회 47
 
3.4%
식 46
 
3.3%
리 46
 
3.3%
스 43
 
3.1%
에 37
 
2.7%
오 28
 
2.0%
인 24
 
1.7%
Other values (239) 842
60.9%
ASCII
ValueCountFrequency (%)
) 83
29.5%
( 83
29.5%
40
14.2%
o 6
 
2.1%
a 5
 
1.8%
e 4
 
1.4%
F 4
 
1.4%
& 4
 
1.4%
D 4
 
1.4%
C 4
 
1.4%
Other values (25) 44
15.7%

최종수정시점
Real number (ℝ)

Distinct230
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0178236 × 1013
Minimum2.0040615 × 1013
Maximum2.0220221 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-22T07:08:09.978077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040615 × 1013
5-th percentile2.0090222 × 1013
Q12.016062 × 1013
median2.0191212 × 1013
Q32.0210321 × 1013
95-th percentile2.0220114 × 1013
Maximum2.0220221 × 1013
Range1.7960615 × 1011
Interquartile range (IQR)4.9700773 × 1010

Descriptive statistics

Standard deviation4.1391405 × 1010
Coefficient of variation (CV)0.0020512896
Kurtosis1.6999483
Mean2.0178236 × 1013
Median Absolute Deviation (MAD)1.9351538 × 1010
Skewness-1.5041801
Sum4.6813507 × 1015
Variance1.7132484 × 1021
MonotonicityNot monotonic
2024-04-22T07:08:10.437716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130328150015 2
 
0.9%
20061106000000 2
 
0.9%
20190705180728 1
 
0.4%
20211005163644 1
 
0.4%
20211007171054 1
 
0.4%
20201106111244 1
 
0.4%
20220210150625 1
 
0.4%
20191105165208 1
 
0.4%
20181219114315 1
 
0.4%
20071101134112 1
 
0.4%
Other values (220) 220
94.8%
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
0.9%
20071101134112 1
0.4%
20080904110813 1
0.4%
20081104113435 1
0.4%
ValueCountFrequency (%)
20220221152959 1
0.4%
20220221100227 1
0.4%
20220221094154 1
0.4%
20220216135852 1
0.4%
20220216094951 1
0.4%
20220210150625 1
0.4%
20220207093520 1
0.4%
20220203170523 1
0.4%
20220203100249 1
0.4%
20220121094823 1
0.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
U
118 
I
114 

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 118
50.9%
I 114
49.1%

Length

2024-04-22T07:08:10.855649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:08:11.145450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 118
50.9%
i 114
49.1%

데이터갱신일자
Date

Distinct142
Distinct (%)61.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2018-08-31 23:59:59
Maximum2022-02-23 02:40:00
2024-04-22T07:08:11.475946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T07:08:11.897803image/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 size1.9 KiB
건강기능식품유통전문판매업
232 

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 232
100.0%

Length

2024-04-22T07:08:12.293904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:08:12.576076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 232
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct201
Distinct (%)88.9%
Missing6
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean343174.77
Minimum325937.57
Maximum357984.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-22T07:08:12.881346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325937.57
5-th percentile332186.54
Q1340198.42
median344063.07
Q3346582.25
95-th percentile352635.69
Maximum357984.72
Range32047.151
Interquartile range (IQR)6383.8256

Descriptive statistics

Standard deviation5672.1245
Coefficient of variation (CV)0.016528384
Kurtosis0.78395765
Mean343174.77
Median Absolute Deviation (MAD)2888.7693
Skewness-0.41900353
Sum77557498
Variance32172996
MonotonicityNot monotonic
2024-04-22T07:08:13.307250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341130.695482 4
 
1.7%
334621.225167 3
 
1.3%
341851.7649 3
 
1.3%
344940.956105 3
 
1.3%
346971.046144 3
 
1.3%
343770.758234 2
 
0.9%
351211.131308 2
 
0.9%
346719.597553 2
 
0.9%
346634.210978 2
 
0.9%
347816.635606 2
 
0.9%
Other values (191) 200
86.2%
(Missing) 6
 
2.6%
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
0.9%
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%
353989.543422 1
0.4%
353654.387261 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct201
Distinct (%)88.9%
Missing6
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean263772.36
Minimum240649.76
Maximum277749.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-22T07:08:13.720963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240649.76
5-th percentile258742.93
Q1261708.4
median263792.18
Q3265302.25
95-th percentile270481.79
Maximum277749.02
Range37099.259
Interquartile range (IQR)3593.8491

Descriptive statistics

Standard deviation3890.5776
Coefficient of variation (CV)0.014749755
Kurtosis6.3940033
Mean263772.36
Median Absolute Deviation (MAD)1792.9663
Skewness-0.55208574
Sum59612554
Variance15136594
MonotonicityNot monotonic
2024-04-22T07:08:14.166830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264088.775394 4
 
1.7%
262044.332358 3
 
1.3%
264386.730931 3
 
1.3%
263802.308312 3
 
1.3%
265744.422598 3
 
1.3%
263623.262721 2
 
0.9%
265256.542723 2
 
0.9%
260970.583081 2
 
0.9%
262506.053568 2
 
0.9%
270038.36677 2
 
0.9%
Other values (191) 200
86.2%
(Missing) 6
 
2.6%
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
0.9%
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 size1.9 KiB
건강기능식품유통전문판매업
232 

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 232
100.0%

Length

2024-04-22T07:08:14.573479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:08:14.856240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 232
100.0%

남성종사자수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
190 
0
42 

Length

Max length4
Median length4
Mean length3.4568966
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> 190
81.9%
0 42
 
18.1%

Length

2024-04-22T07:08:15.189843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:08:15.508239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
81.9%
0 42
 
18.1%

여성종사자수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
190 
0
42 

Length

Max length4
Median length4
Mean length3.4568966
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> 190
81.9%
0 42
 
18.1%

Length

2024-04-22T07:08:15.855064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:08:16.180392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
81.9%
0 42
 
18.1%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

급수시설구분명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
199 
상수도전용
33 

Length

Max length5
Median length4
Mean length4.1422414
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> 199
85.8%
상수도전용 33
 
14.2%

Length

2024-04-22T07:08:16.508947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:08:16.814233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
85.8%
상수도전용 33
 
14.2%

총종업원수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
193 
0
39 

Length

Max length4
Median length4
Mean length3.4956897
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> 193
83.2%
0 39
 
16.8%

Length

2024-04-22T07:08:17.153533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:08:17.459394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 193
83.2%
0 39
 
16.8%

본사종업원수
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
164 
<NA>
67 
3
 
1

Length

Max length4
Median length1
Mean length1.8663793
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 164
70.7%
<NA> 67
28.9%
3 1
 
0.4%

Length

2024-04-22T07:08:18.115114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:08:18.435691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 164
70.7%
na 67
28.9%
3 1
 
0.4%

공장사무직종업원수
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
158 
<NA>
67 
1
 
5
2
 
2

Length

Max length4
Median length1
Mean length1.8663793
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 158
68.1%
<NA> 67
28.9%
1 5
 
2.2%
2 2
 
0.9%

Length

2024-04-22T07:08:18.792168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:08:19.119301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 158
68.1%
na 67
28.9%
1 5
 
2.2%
2 2
 
0.9%

공장판매직종업원수
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
157 
<NA>
67 
1
 
6
2
 
2

Length

Max length4
Median length1
Mean length1.8663793
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 157
67.7%
<NA> 67
28.9%
1 6
 
2.6%
2 2
 
0.9%

Length

2024-04-22T07:08:19.485888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:08:19.812924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 157
67.7%
na 67
28.9%
1 6
 
2.6%
2 2
 
0.9%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
165 
<NA>
67 

Length

Max length4
Median length1
Mean length1.8663793
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 165
71.1%
<NA> 67
28.9%

Length

2024-04-22T07:08:20.180616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:08:20.493712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 165
71.1%
na 67
28.9%

건물소유구분명
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
175 
자가
30 
임대
27 

Length

Max length4
Median length4
Mean length3.5086207
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> 175
75.4%
자가 30
 
12.9%
임대 27
 
11.6%

Length

2024-04-22T07:08:20.858455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:08:21.198718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 175
75.4%
자가 30
 
12.9%
임대 27
 
11.6%

보증액
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
190 
0
42 

Length

Max length4
Median length4
Mean length3.4568966
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> 190
81.9%
0 42
 
18.1%

Length

2024-04-22T07:08:21.566404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:08:21.883435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
81.9%
0 42
 
18.1%

월세액
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
190 
0
42 

Length

Max length4
Median length4
Mean length3.4568966
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> 190
81.9%
0 42
 
18.1%

Length

2024-04-22T07:08:22.233567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T07:08:22.549787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
81.9%
0 42
 
18.1%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size360.0 B
False
232 
ValueCountFrequency (%)
False 232
100.0%
2024-04-22T07:08:22.792413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5476293
Minimum0
Maximum377.92
Zeros224
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-22T07:08:23.046386image/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 deviation26.689986
Coefficient of variation (CV)10.476401
Kurtosis174.82082
Mean2.5476293
Median Absolute Deviation (MAD)0
Skewness12.871334
Sum591.05
Variance712.35535
MonotonicityNot monotonic
2024-04-22T07:08:23.395957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 224
96.6%
25.13 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%
14.0 1
 
0.4%
149.0 1
 
0.4%
ValueCountFrequency (%)
0.0 224
96.6%
2.4 1
 
0.4%
3.0 1
 
0.4%
9.1 1
 
0.4%
10.5 1
 
0.4%
14.0 1
 
0.4%
25.13 1
 
0.4%
149.0 1
 
0.4%
377.92 1
 
0.4%
ValueCountFrequency (%)
377.92 1
 
0.4%
149.0 1
 
0.4%
25.13 1
 
0.4%
14.0 1
 
0.4%
10.5 1
 
0.4%
9.1 1
 
0.4%
3.0 1
 
0.4%
2.4 1
 
0.4%
0.0 224
96.6%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing232
Missing (%)100.0%
Memory size2.2 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
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)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
222223건강기능식품유통전문판매업07_22_02_P34800003480000-135-2021-0000220210604<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0711851대구광역시 달성군 논공읍 금포리 ****-* *층대구광역시 달성군 논공읍 금강로*길 **-*, *층42974더(The)청송20211102104329I2021-11-04 00:22:45.0건강기능식품유통전문판매업328895.94879253278.387916건강기능식품유통전문판매업00<NA><NA><NA>00000자가00N0.0<NA><NA><NA>
223224건강기능식품유통전문판매업07_22_02_P34800003480000-135-2020-0000220200702<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>711823대구광역시 달성군 하빈면 봉촌리 ****-** *층대구광역시 달성군 하빈면 하빈남로 ***, *층42905씨케이물산(CK물산)20200702145326I2020-07-04 00:23:24.0건강기능식품유통전문판매업325937.566452264191.450599건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
224225건강기능식품유통전문판매업07_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>
225226건강기능식품유통전문판매업07_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>
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