Overview

Dataset statistics

Number of variables47
Number of observations244
Missing cells2520
Missing cells (%)22.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory97.1 KiB
Average record size in memory407.5 B

Variable types

Numeric11
Categorical20
Text5
Unsupported9
DateTime1
Boolean1

Dataset

Description22년06월_6270000_대구광역시_07_22_02_P_건강기능식품유통전문판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000093750&dataSetDetailId=DDI_0000093766&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 244 (100.0%) missing valuesMissing
폐업일자 has 113 (46.3%) missing valuesMissing
휴업시작일자 has 244 (100.0%) missing valuesMissing
휴업종료일자 has 244 (100.0%) missing valuesMissing
재개업일자 has 244 (100.0%) missing valuesMissing
소재지전화 has 114 (46.7%) missing valuesMissing
소재지면적 has 53 (21.7%) missing valuesMissing
도로명전체주소 has 14 (5.7%) missing valuesMissing
도로명우편번호 has 14 (5.7%) missing valuesMissing
좌표정보(X) has 8 (3.3%) missing valuesMissing
좌표정보(Y) has 8 (3.3%) missing valuesMissing
영업장주변구분명 has 244 (100.0%) missing valuesMissing
등급구분명 has 244 (100.0%) missing valuesMissing
전통업소지정번호 has 244 (100.0%) missing valuesMissing
전통업소주된음식 has 244 (100.0%) missing valuesMissing
홈페이지 has 244 (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 16 (6.6%) zerosZeros
시설총규모 has 233 (95.5%) zerosZeros

Reproduction

Analysis started2024-04-20 21:03:16.695746
Analysis finished2024-04-20 21:03:17.887627
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct244
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.5
Minimum1
Maximum244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T06:03:18.099116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.15
Q161.75
median122.5
Q3183.25
95-th percentile231.85
Maximum244
Range243
Interquartile range (IQR)121.5

Descriptive statistics

Standard deviation70.580923
Coefficient of variation (CV)0.5761708
Kurtosis-1.2
Mean122.5
Median Absolute Deviation (MAD)61
Skewness0
Sum29890
Variance4981.6667
MonotonicityStrictly increasing
2024-04-21T06:03:18.731280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
155 1
 
0.4%
157 1
 
0.4%
158 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%
Other values (234) 234
95.9%
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 (%)
244 1
0.4%
243 1
0.4%
242 1
0.4%
241 1
0.4%
240 1
0.4%
239 1
0.4%
238 1
0.4%
237 1
0.4%
236 1
0.4%
235 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
건강기능식품유통전문판매업
244 

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 244
100.0%

Length

2024-04-21T06:03:19.019555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:19.225562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 244
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
07_22_02_P
244 

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 244
100.0%

Length

2024-04-21T06:03:19.387883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:19.602754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_02_p 244
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445573.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T06:03:19.866566image/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 deviation22390.076
Coefficient of variation (CV)0.0064982142
Kurtosis-1.3353833
Mean3445573.8
Median Absolute Deviation (MAD)20000
Skewness-0.20376932
Sum8.4072 × 108
Variance5.0131552 × 108
MonotonicityIncreasing
2024-04-21T06:03:20.230408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 48
19.7%
3420000 44
18.0%
3470000 43
17.6%
3450000 31
12.7%
3410000 26
10.7%
3430000 18
 
7.4%
3440000 18
 
7.4%
3480000 16
 
6.6%
ValueCountFrequency (%)
3410000 26
10.7%
3420000 44
18.0%
3430000 18
 
7.4%
3440000 18
 
7.4%
3450000 31
12.7%
3460000 48
19.7%
3470000 43
17.6%
3480000 16
 
6.6%
ValueCountFrequency (%)
3480000 16
 
6.6%
3470000 43
17.6%
3460000 48
19.7%
3450000 31
12.7%
3440000 18
 
7.4%
3430000 18
 
7.4%
3420000 44
18.0%
3410000 26
10.7%

관리번호
Text

UNIQUE 

Distinct244
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-21T06:03:20.947849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters5368
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

Unique244 ?
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%
3460000-135-2021-00008 1
 
0.4%
3460000-135-2015-00002 1
 
0.4%
3460000-135-2021-00002 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%
Other values (234) 234
95.9%
2024-04-21T06:03:22.060623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2251
41.9%
- 732
 
13.6%
3 556
 
10.4%
1 554
 
10.3%
2 440
 
8.2%
5 311
 
5.8%
4 308
 
5.7%
6 76
 
1.4%
7 63
 
1.2%
9 39
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4636
86.4%
Dash Punctuation 732
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2251
48.6%
3 556
 
12.0%
1 554
 
11.9%
2 440
 
9.5%
5 311
 
6.7%
4 308
 
6.6%
6 76
 
1.6%
7 63
 
1.4%
9 39
 
0.8%
8 38
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 732
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5368
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2251
41.9%
- 732
 
13.6%
3 556
 
10.4%
1 554
 
10.3%
2 440
 
8.2%
5 311
 
5.8%
4 308
 
5.7%
6 76
 
1.4%
7 63
 
1.2%
9 39
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2251
41.9%
- 732
 
13.6%
3 556
 
10.4%
1 554
 
10.3%
2 440
 
8.2%
5 311
 
5.8%
4 308
 
5.7%
6 76
 
1.4%
7 63
 
1.2%
9 39
 
0.7%

인허가일자
Real number (ℝ)

Distinct199
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20159610
Minimum20040610
Maximum20220429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T06:03:22.307190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040610
5-th percentile20050584
Q120130935
median20170817
Q320200347
95-th percentile20218857
Maximum20220429
Range179819
Interquartile range (IQR)69412

Descriptive statistics

Standard deviation48989.48
Coefficient of variation (CV)0.0024300808
Kurtosis-0.029440649
Mean20159610
Median Absolute Deviation (MAD)30101.5
Skewness-0.88569132
Sum4.9189447 × 109
Variance2.3999691 × 109
MonotonicityNot monotonic
2024-04-21T06:03:22.664634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160622 6
 
2.5%
20151109 4
 
1.6%
20190517 4
 
1.6%
20210929 3
 
1.2%
20120529 3
 
1.2%
20190508 3
 
1.2%
20130328 3
 
1.2%
20151216 3
 
1.2%
20200521 2
 
0.8%
20190712 2
 
0.8%
Other values (189) 211
86.5%
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 (%)
20220429 1
0.4%
20220426 1
0.4%
20220413 1
0.4%
20220404 1
0.4%
20220329 1
0.4%
20220328 1
0.4%
20220325 1
0.4%
20220324 1
0.4%
20220311 1
0.4%
20220221 1
0.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing244
Missing (%)100.0%
Memory size2.3 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3
131 
1
113 

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 (%)
3 131
53.7%
1 113
46.3%

Length

2024-04-21T06:03:23.080957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:23.372909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 131
53.7%
1 113
46.3%

영업상태명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
131 
영업/정상
113 

Length

Max length5
Median length2
Mean length3.3893443
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 131
53.7%
영업/정상 113
46.3%

Length

2024-04-21T06:03:23.714977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:24.031866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 131
53.7%
영업/정상 113
46.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
131 
1
113 

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 (%)
2 131
53.7%
1 113
46.3%

Length

2024-04-21T06:03:24.355552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:24.646918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 131
53.7%
1 113
46.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
131 
영업
113 

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 131
53.7%
영업 113
46.3%

Length

2024-04-21T06:03:24.961549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:25.252496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 131
53.7%
영업 113
46.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct122
Distinct (%)93.1%
Missing113
Missing (%)46.3%
Infinite0
Infinite (%)0.0%
Mean20168663
Minimum20051213
Maximum20220427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T06:03:25.588209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20051213
5-th percentile20085813
Q120145674
median20180808
Q320200372
95-th percentile20215671
Maximum20220427
Range169214
Interquartile range (IQR)54699

Descriptive statistics

Standard deviation39372.854
Coefficient of variation (CV)0.0019521796
Kurtosis0.51630694
Mean20168663
Median Absolute Deviation (MAD)20415
Skewness-0.99744457
Sum2.6420949 × 109
Variance1.5502216 × 109
MonotonicityNot monotonic
2024-04-21T06:03:26.042982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191217 3
 
1.2%
20191030 2
 
0.8%
20210622 2
 
0.8%
20220203 2
 
0.8%
20181115 2
 
0.8%
20210118 2
 
0.8%
20180808 2
 
0.8%
20190109 2
 
0.8%
20191118 1
 
0.4%
20141224 1
 
0.4%
Other values (112) 112
45.9%
(Missing) 113
46.3%
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 (%)
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%
20210914 1
0.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing244
Missing (%)100.0%
Memory size2.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing244
Missing (%)100.0%
Memory size2.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing244
Missing (%)100.0%
Memory size2.3 KiB

소재지전화
Text

MISSING 

Distinct108
Distinct (%)83.1%
Missing114
Missing (%)46.7%
Memory size2.0 KiB
2024-04-21T06:03:27.163494image/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%
2024-04-21T06:03:28.648660image/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 

Distinct145
Distinct (%)75.9%
Missing53
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean66.489319
Minimum0
Maximum493
Zeros16
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T06:03:29.011136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.5
median39.3
Q385.12
95-th percentile220.86
Maximum493
Range493
Interquartile range (IQR)68.62

Descriptive statistics

Standard deviation78.473345
Coefficient of variation (CV)1.1802399
Kurtosis7.4923685
Mean66.489319
Median Absolute Deviation (MAD)29.3
Skewness2.4284401
Sum12699.46
Variance6158.0659
MonotonicityNot monotonic
2024-04-21T06:03:29.478440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 16
 
6.6%
15.0 5
 
2.0%
16.5 4
 
1.6%
33.0 4
 
1.6%
10.0 3
 
1.2%
76.0 3
 
1.2%
70.71 3
 
1.2%
35.0 3
 
1.2%
4.0 2
 
0.8%
22.01 2
 
0.8%
Other values (135) 146
59.8%
(Missing) 53
 
21.7%
ValueCountFrequency (%)
0.0 16
6.6%
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)

Distinct156
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean702954.47
Minimum367801
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T06:03:29.902680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367801
5-th percentile700413
Q1701840
median703954
Q3706130
95-th percentile711812
Maximum711891
Range344090
Interquartile range (IQR)4290

Descriptive statistics

Standard deviation21735.845
Coefficient of variation (CV)0.030920702
Kurtosis235.40847
Mean702954.47
Median Absolute Deviation (MAD)2114
Skewness-15.205774
Sum1.7152089 × 108
Variance4.7244698 × 108
MonotonicityNot monotonic
2024-04-21T06:03:30.363451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
700413 5
 
2.0%
704919 5
 
2.0%
703846 5
 
2.0%
701260 4
 
1.6%
700823 4
 
1.6%
701170 4
 
1.6%
711812 4
 
1.6%
702894 4
 
1.6%
701824 3
 
1.2%
701816 3
 
1.2%
Other values (146) 203
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
 
0.8%
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 3
1.2%
711812 4
1.6%
706853 1
 
0.4%
706852 3
1.2%

소재지전체주소
Text

Distinct208
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-21T06:03:31.276195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length25.286885
Min length17

Characters and Unicode

Total characters6170
Distinct characters213
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

Unique179 ?
Unique (%)73.4%

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 243
21.0%
번지 138
 
11.9%
107
 
9.2%
수성구 47
 
4.1%
동구 44
 
3.8%
달서구 41
 
3.5%
층 40
 
3.5%
북구 31
 
2.7%
중구 27
 
2.3%
호 23
 
2.0%
Other values (168) 417
36.0%
2024-04-21T06:03:32.364877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1360
22.0%
1141
18.5%
구 486
 
7.9%
동 286
 
4.6%
대 282
 
4.6%
시 248
 
4.0%
역 244
 
4.0%
광 243
 
3.9%
- 215
 
3.5%
지 176
 
2.9%
Other values (203) 1489
24.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3409
55.3%
Other Punctuation 1367
22.2%
Space Separator 1141
 
18.5%
Dash Punctuation 215
 
3.5%
Open Punctuation 13
 
0.2%
Close Punctuation 13
 
0.2%
Uppercase Letter 12
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 486
14.3%
동 286
 
8.4%
대 282
 
8.3%
시 248
 
7.3%
역 244
 
7.2%
광 243
 
7.1%
지 176
 
5.2%
번 138
 
4.0%
성 82
 
2.4%
서 68
 
2.0%
Other values (187) 1156
33.9%
Uppercase Letter
ValueCountFrequency (%)
S 3
25.0%
D 2
16.7%
K 2
16.7%
B 1
 
8.3%
P 1
 
8.3%
T 1
 
8.3%
J 1
 
8.3%
R 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
* 1360
99.5%
, 5
 
0.4%
& 1
 
0.1%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 215
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3409
55.3%
Common 2749
44.6%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 486
14.3%
동 286
 
8.4%
대 282
 
8.3%
시 248
 
7.3%
역 244
 
7.2%
광 243
 
7.1%
지 176
 
5.2%
번 138
 
4.0%
성 82
 
2.4%
서 68
 
2.0%
Other values (187) 1156
33.9%
Common
ValueCountFrequency (%)
* 1360
49.5%
1141
41.5%
- 215
 
7.8%
( 13
 
0.5%
) 13
 
0.5%
, 5
 
0.2%
& 1
 
< 0.1%
/ 1
 
< 0.1%
Latin
ValueCountFrequency (%)
S 3
25.0%
D 2
16.7%
K 2
16.7%
B 1
 
8.3%
P 1
 
8.3%
T 1
 
8.3%
J 1
 
8.3%
R 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3409
55.3%
ASCII 2761
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1360
49.3%
1141
41.3%
- 215
 
7.8%
( 13
 
0.5%
) 13
 
0.5%
, 5
 
0.2%
S 3
 
0.1%
D 2
 
0.1%
K 2
 
0.1%
B 1
 
< 0.1%
Other values (6) 6
 
0.2%
Hangul
ValueCountFrequency (%)
구 486
14.3%
동 286
 
8.4%
대 282
 
8.3%
시 248
 
7.3%
역 244
 
7.2%
광 243
 
7.1%
지 176
 
5.2%
번 138
 
4.0%
성 82
 
2.4%
서 68
 
2.0%
Other values (187) 1156
33.9%

도로명전체주소
Text

MISSING 

Distinct208
Distinct (%)90.4%
Missing14
Missing (%)5.7%
Memory size2.0 KiB
2024-04-21T06:03:33.275949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47
Mean length30.682609
Min length21

Characters and Unicode

Total characters7057
Distinct characters236
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

Unique191 ?
Unique (%)83.0%

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 230
 
15.9%
230
 
15.9%
층 152
 
10.5%
호 45
 
3.1%
수성구 45
 
3.1%
동구 41
 
2.8%
달서구 39
 
2.7%
북구 30
 
2.1%
중구 25
 
1.7%
지상*층 18
 
1.2%
Other values (280) 589
40.8%
2024-04-21T06:03:34.605340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1214
17.2%
* 1142
16.2%
구 496
 
7.0%
대 317
 
4.5%
동 307
 
4.4%
시 235
 
3.3%
역 232
 
3.3%
광 230
 
3.3%
로 228
 
3.2%
) 223
 
3.2%
Other values (226) 2433
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3972
56.3%
Other Punctuation 1358
 
19.2%
Space Separator 1214
 
17.2%
Close Punctuation 223
 
3.2%
Open Punctuation 223
 
3.2%
Dash Punctuation 49
 
0.7%
Uppercase Letter 16
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 496
 
12.5%
대 317
 
8.0%
동 307
 
7.7%
시 235
 
5.9%
역 232
 
5.8%
광 230
 
5.8%
로 228
 
5.7%
층 182
 
4.6%
성 99
 
2.5%
길 88
 
2.2%
Other values (208) 1558
39.2%
Uppercase Letter
ValueCountFrequency (%)
S 4
25.0%
A 2
12.5%
K 2
12.5%
D 2
12.5%
R 1
 
6.2%
J 1
 
6.2%
H 1
 
6.2%
P 1
 
6.2%
T 1
 
6.2%
B 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
* 1142
84.1%
, 215
 
15.8%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1214
100.0%
Close Punctuation
ValueCountFrequency (%)
) 223
100.0%
Open Punctuation
ValueCountFrequency (%)
( 223
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3972
56.3%
Common 3069
43.5%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 496
 
12.5%
대 317
 
8.0%
동 307
 
7.7%
시 235
 
5.9%
역 232
 
5.8%
광 230
 
5.8%
로 228
 
5.7%
층 182
 
4.6%
성 99
 
2.5%
길 88
 
2.2%
Other values (208) 1558
39.2%
Latin
ValueCountFrequency (%)
S 4
25.0%
A 2
12.5%
K 2
12.5%
D 2
12.5%
R 1
 
6.2%
J 1
 
6.2%
H 1
 
6.2%
P 1
 
6.2%
T 1
 
6.2%
B 1
 
6.2%
Common
ValueCountFrequency (%)
1214
39.6%
* 1142
37.2%
) 223
 
7.3%
( 223
 
7.3%
, 215
 
7.0%
- 49
 
1.6%
~ 2
 
0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3972
56.3%
ASCII 3085
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1214
39.4%
* 1142
37.0%
) 223
 
7.2%
( 223
 
7.2%
, 215
 
7.0%
- 49
 
1.6%
S 4
 
0.1%
A 2
 
0.1%
K 2
 
0.1%
D 2
 
0.1%
Other values (8) 9
 
0.3%
Hangul
ValueCountFrequency (%)
구 496
 
12.5%
대 317
 
8.0%
동 307
 
7.7%
시 235
 
5.9%
역 232
 
5.8%
광 230
 
5.8%
로 228
 
5.7%
층 182
 
4.6%
성 99
 
2.5%
길 88
 
2.2%
Other values (208) 1558
39.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct172
Distinct (%)74.8%
Missing14
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean42006.53
Minimum41000
Maximum43008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T06:03:34.849781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41065
Q141512.25
median42014
Q342487
95-th percentile42910
Maximum43008
Range2008
Interquartile range (IQR)974.75

Descriptive statistics

Standard deviation583.35649
Coefficient of variation (CV)0.013887281
Kurtosis-1.1105104
Mean42006.53
Median Absolute Deviation (MAD)493
Skewness-0.066054488
Sum9661502
Variance340304.79
MonotonicityNot monotonic
2024-04-21T06:03:35.119030image/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%
42975 3
 
1.2%
42910 3
 
1.2%
42160 3
 
1.2%
42140 3
 
1.2%
42175 3
 
1.2%
41567 3
 
1.2%
Other values (162) 197
80.7%
(Missing) 14
 
5.7%
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 2
0.8%
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

Distinct208
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-21T06:03:35.847410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length7.2377049
Min length2

Characters and Unicode

Total characters1766
Distinct characters291
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

Unique183 ?
Unique (%)75.0%

Sample

1st row(주)리뉴메디
2nd row(주)엠지뉴턴
3rd row주식회사 에프엔디
4th row(주)에이지블루
5th row코엘
ValueCountFrequency (%)
주식회사 25
 
8.7%
주식회사월드라인 5
 
1.7%
주)쓰리에이치 4
 
1.4%
에이팜 4
 
1.4%
오롯이 4
 
1.4%
주 4
 
1.4%
f&d 3
 
1.0%
에인에이(주 3
 
1.0%
오푸드 3
 
1.0%
헬스마트 3
 
1.0%
Other values (206) 230
79.9%
2024-04-21T06:03:36.986830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 124
 
7.0%
이 105
 
5.9%
( 85
 
4.8%
) 85
 
4.8%
사 63
 
3.6%
회 55
 
3.1%
식 54
 
3.1%
리 47
 
2.7%
44
 
2.5%
스 43
 
2.4%
Other values (281) 1061
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1472
83.4%
Open Punctuation 85
 
4.8%
Close Punctuation 85
 
4.8%
Space Separator 44
 
2.5%
Uppercase Letter 38
 
2.2%
Lowercase Letter 36
 
2.0%
Other Punctuation 5
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 124
 
8.4%
이 105
 
7.1%
사 63
 
4.3%
회 55
 
3.7%
식 54
 
3.7%
리 47
 
3.2%
스 43
 
2.9%
에 40
 
2.7%
오 29
 
2.0%
인 24
 
1.6%
Other values (245) 888
60.3%
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%
A 2
 
5.3%
O 2
 
5.3%
E 2
 
5.3%
Other values (6) 7
18.4%
Lowercase Letter
ValueCountFrequency (%)
o 6
16.7%
a 5
13.9%
m 4
11.1%
e 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%
Open Punctuation
ValueCountFrequency (%)
( 85
100.0%
Close Punctuation
ValueCountFrequency (%)
) 85
100.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1472
83.4%
Common 220
 
12.5%
Latin 74
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 124
 
8.4%
이 105
 
7.1%
사 63
 
4.3%
회 55
 
3.7%
식 54
 
3.7%
리 47
 
3.2%
스 43
 
2.9%
에 40
 
2.7%
오 29
 
2.0%
인 24
 
1.6%
Other values (245) 888
60.3%
Latin
ValueCountFrequency (%)
o 6
 
8.1%
C 5
 
6.8%
a 5
 
6.8%
m 4
 
5.4%
F 4
 
5.4%
D 4
 
5.4%
e 4
 
5.4%
K 3
 
4.1%
P 3
 
4.1%
h 3
 
4.1%
Other values (20) 33
44.6%
Common
ValueCountFrequency (%)
( 85
38.6%
) 85
38.6%
44
20.0%
& 4
 
1.8%
. 1
 
0.5%
2 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1472
83.4%
ASCII 294
 
16.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 124
 
8.4%
이 105
 
7.1%
사 63
 
4.3%
회 55
 
3.7%
식 54
 
3.7%
리 47
 
3.2%
스 43
 
2.9%
에 40
 
2.7%
오 29
 
2.0%
인 24
 
1.6%
Other values (245) 888
60.3%
ASCII
ValueCountFrequency (%)
( 85
28.9%
) 85
28.9%
44
15.0%
o 6
 
2.0%
C 5
 
1.7%
a 5
 
1.7%
m 4
 
1.4%
F 4
 
1.4%
& 4
 
1.4%
D 4
 
1.4%
Other values (26) 48
16.3%

최종수정시점
Real number (ℝ)

Distinct242
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0181026 × 1013
Minimum2.0040615 × 1013
Maximum2.0220609 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T06:03:37.518690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040615 × 1013
5-th percentile2.0090255 × 1013
Q12.0168321 × 1013
median2.019567 × 1013
Q32.0210643 × 1013
95-th percentile2.0220419 × 1013
Maximum2.0220609 × 1013
Range1.7999418 × 1011
Interquartile range (IQR)4.232246 × 1010

Descriptive statistics

Standard deviation4.1791475 × 1010
Coefficient of variation (CV)0.00207083
Kurtosis1.7568352
Mean2.0181026 × 1013
Median Absolute Deviation (MAD)1.5335536 × 1010
Skewness-1.5142953
Sum4.9241704 × 1015
Variance1.7465274 × 1021
MonotonicityNot monotonic
2024-04-21T06:03:37.969644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130328150015 2
 
0.8%
20061106000000 2
 
0.8%
20190705180728 1
 
0.4%
20211005164045 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%
Other values (232) 232
95.1%
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 (%)
20220609175709 1
0.4%
20220608173720 1
0.4%
20220602154259 1
0.4%
20220518104908 1
0.4%
20220512155318 1
0.4%
20220429143652 1
0.4%
20220429131715 1
0.4%
20220429100925 1
0.4%
20220427103648 1
0.4%
20220426151311 1
0.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
U
130 
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 130
53.3%
I 114
46.7%

Length

2024-04-21T06:03:38.318433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:38.479586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 130
53.3%
i 114
46.7%

데이터갱신일자
Date

Distinct155
Distinct (%)63.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2018-08-31 23:59:59
Maximum2022-06-11 02:40:00
2024-04-21T06:03:38.665613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T06:03:38.921166image/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 size2.0 KiB
건강기능식품유통전문판매업
244 

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 244
100.0%

Length

2024-04-21T06:03:39.184802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:39.346470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 244
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct209
Distinct (%)88.6%
Missing8
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean343265.86
Minimum325937.57
Maximum357984.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T06:03:39.520499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325937.57
5-th percentile332200.91
Q1340204.69
median344153.53
Q3346593.18
95-th percentile352849.68
Maximum357984.72
Range32047.151
Interquartile range (IQR)6388.4975

Descriptive statistics

Standard deviation5683.9626
Coefficient of variation (CV)0.016558485
Kurtosis0.73021465
Mean343265.86
Median Absolute Deviation (MAD)2817.5151
Skewness-0.41119316
Sum81010743
Variance32307431
MonotonicityNot monotonic
2024-04-21T06:03:39.766278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341130.695482 4
 
1.6%
341851.7649 3
 
1.2%
334621.225167 3
 
1.2%
346971.046144 3
 
1.2%
344940.956105 3
 
1.2%
332176.052745 2
 
0.8%
345617.770297 2
 
0.8%
353886.322185 2
 
0.8%
346719.597553 2
 
0.8%
346634.210978 2
 
0.8%
Other values (199) 210
86.1%
(Missing) 8
 
3.3%
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 

Distinct209
Distinct (%)88.6%
Missing8
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean263788.41
Minimum240649.76
Maximum277749.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T06:03:40.026325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240649.76
5-th percentile259280.46
Q1261693.22
median263802.31
Q3265323.43
95-th percentile270456.16
Maximum277749.02
Range37099.259
Interquartile range (IQR)3630.2137

Descriptive statistics

Standard deviation3853.3882
Coefficient of variation (CV)0.014607876
Kurtosis6.3668143
Mean263788.41
Median Absolute Deviation (MAD)1833.3968
Skewness-0.55452499
Sum62254064
Variance14848601
MonotonicityNot monotonic
2024-04-21T06:03:40.332789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264088.775394 4
 
1.6%
264386.730931 3
 
1.2%
262044.332358 3
 
1.2%
265744.422598 3
 
1.2%
263802.308312 3
 
1.2%
263770.873143 2
 
0.8%
261089.23512 2
 
0.8%
266441.252157 2
 
0.8%
260970.583081 2
 
0.8%
262506.053568 2
 
0.8%
Other values (199) 210
86.1%
(Missing) 8
 
3.3%
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 size2.0 KiB
건강기능식품유통전문판매업
244 

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 244
100.0%

Length

2024-04-21T06:03:40.644844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:40.935828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 244
100.0%

남성종사자수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
187 
0
57 

Length

Max length4
Median length4
Mean length3.2991803
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> 187
76.6%
0 57
 
23.4%

Length

2024-04-21T06:03:41.273719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:41.576132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 187
76.6%
0 57
 
23.4%

여성종사자수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
187 
0
57 

Length

Max length4
Median length4
Mean length3.2991803
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> 187
76.6%
0 57
 
23.4%

Length

2024-04-21T06:03:41.807217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:41.991412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 187
76.6%
0 57
 
23.4%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing244
Missing (%)100.0%
Memory size2.3 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing244
Missing (%)100.0%
Memory size2.3 KiB

급수시설구분명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
210 
상수도전용
34 

Length

Max length5
Median length4
Mean length4.1393443
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> 210
86.1%
상수도전용 34
 
13.9%

Length

2024-04-21T06:03:42.182945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:42.363654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 210
86.1%
상수도전용 34
 
13.9%

총종업원수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
190 
0
54 

Length

Max length4
Median length4
Mean length3.3360656
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
77.9%
0 54
 
22.1%

Length

2024-04-21T06:03:42.579404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:42.801443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
77.9%
0 54
 
22.1%

본사종업원수
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
178 
<NA>
65 
3
 
1

Length

Max length4
Median length1
Mean length1.7991803
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 178
73.0%
<NA> 65
 
26.6%
3 1
 
0.4%

Length

2024-04-21T06:03:43.018088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:43.306375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 178
73.0%
na 65
 
26.6%
3 1
 
0.4%

공장사무직종업원수
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
172 
<NA>
65 
1
 
5
2
 
2

Length

Max length4
Median length1
Mean length1.7991803
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 172
70.5%
<NA> 65
 
26.6%
1 5
 
2.0%
2 2
 
0.8%

Length

2024-04-21T06:03:43.676738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:44.019260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 172
70.5%
na 65
 
26.6%
1 5
 
2.0%
2 2
 
0.8%

공장판매직종업원수
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
171 
<NA>
65 
1
 
6
2
 
2

Length

Max length4
Median length1
Mean length1.7991803
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 171
70.1%
<NA> 65
 
26.6%
1 6
 
2.5%
2 2
 
0.8%

Length

2024-04-21T06:03:44.394666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:44.745249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 171
70.1%
na 65
 
26.6%
1 6
 
2.5%
2 2
 
0.8%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
179 
<NA>
65 

Length

Max length4
Median length1
Mean length1.7991803
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 179
73.4%
<NA> 65
 
26.6%

Length

2024-04-21T06:03:45.121310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:45.452504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 179
73.4%
na 65
 
26.6%

건물소유구분명
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
182 
자가
34 
임대
28 

Length

Max length4
Median length4
Mean length3.4918033
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> 182
74.6%
자가 34
 
13.9%
임대 28
 
11.5%

Length

2024-04-21T06:03:45.830805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:46.182479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 182
74.6%
자가 34
 
13.9%
임대 28
 
11.5%

보증액
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
187 
0
57 

Length

Max length4
Median length4
Mean length3.2991803
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> 187
76.6%
0 57
 
23.4%

Length

2024-04-21T06:03:46.555496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:46.835004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 187
76.6%
0 57
 
23.4%

월세액
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
187 
0
57 

Length

Max length4
Median length4
Mean length3.2991803
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> 187
76.6%
0 57
 
23.4%

Length

2024-04-21T06:03:47.036724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T06:03:47.225651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 187
76.6%
0 57
 
23.4%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size372.0 B
False
244 
ValueCountFrequency (%)
False 244
100.0%
2024-04-21T06:03:47.366138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7456967
Minimum0
Maximum377.92
Zeros233
Zeros (%)95.5%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T06:03:47.514965image/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 deviation26.336568
Coefficient of variation (CV)9.5919434
Kurtosis174.81278
Mean2.7456967
Median Absolute Deviation (MAD)0
Skewness12.761867
Sum669.95
Variance693.61479
MonotonicityNot monotonic
2024-04-21T06:03:47.765442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 233
95.5%
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 (%)
0.0 233
95.5%
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 

Missing244
Missing (%)100.0%
Memory size2.3 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing244
Missing (%)100.0%
Memory size2.3 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing244
Missing (%)100.0%
Memory size2.3 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
234235건강기능식품유통전문판매업07_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>
235236건강기능식품유통전문판매업07_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>
236237건강기능식품유통전문판매업07_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>
237238건강기능식품유통전문판매업07_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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