Overview

Dataset statistics

Number of variables47
Number of observations237
Missing cells2441
Missing cells (%)21.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory94.3 KiB
Average record size in memory407.5 B

Variable types

Numeric11
Categorical20
Text5
Unsupported9
DateTime1
Boolean1

Dataset

Description22년03월_6270000_대구광역시_07_22_02_P_건강기능식품유통전문판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092678&dataSetDetailId=DDI_0000092726&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 237 (100.0%) missing valuesMissing
폐업일자 has 108 (45.6%) missing valuesMissing
휴업시작일자 has 237 (100.0%) missing valuesMissing
휴업종료일자 has 237 (100.0%) missing valuesMissing
재개업일자 has 237 (100.0%) missing valuesMissing
소재지전화 has 108 (45.6%) missing valuesMissing
소재지면적 has 52 (21.9%) missing valuesMissing
도로명전체주소 has 14 (5.9%) missing valuesMissing
도로명우편번호 has 14 (5.9%) missing valuesMissing
좌표정보(X) has 6 (2.5%) missing valuesMissing
좌표정보(Y) has 6 (2.5%) missing valuesMissing
영업장주변구분명 has 237 (100.0%) missing valuesMissing
등급구분명 has 237 (100.0%) missing valuesMissing
전통업소지정번호 has 237 (100.0%) missing valuesMissing
전통업소주된음식 has 237 (100.0%) missing valuesMissing
홈페이지 has 237 (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 (6.8%) zerosZeros
시설총규모 has 229 (96.6%) zerosZeros

Reproduction

Analysis started2024-04-20 19:00:52.868996
Analysis finished2024-04-20 19:00:54.014210
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct237
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119
Minimum1
Maximum237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-21T04:00:54.203057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.8
Q160
median119
Q3178
95-th percentile225.2
Maximum237
Range236
Interquartile range (IQR)118

Descriptive statistics

Standard deviation68.560193
Coefficient of variation (CV)0.57613607
Kurtosis-1.2
Mean119
Median Absolute Deviation (MAD)59
Skewness0
Sum28203
Variance4700.5
MonotonicityStrictly increasing
2024-04-21T04:00:54.537599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
164 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
156 1
 
0.4%
157 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
Other values (227) 227
95.8%
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 (%)
237 1
0.4%
236 1
0.4%
235 1
0.4%
234 1
0.4%
233 1
0.4%
232 1
0.4%
231 1
0.4%
230 1
0.4%
229 1
0.4%
228 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
건강기능식품유통전문판매업
237 

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 237
100.0%

Length

2024-04-21T04:00:54.752859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:00:54.903252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 237
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
07_22_02_P
237 

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 237
100.0%

Length

2024-04-21T04:00:55.060493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:00:55.211578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_02_p 237
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445569.6
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-21T04:00:55.348520image/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 deviation22535.105
Coefficient of variation (CV)0.0065403132
Kurtosis-1.3462169
Mean3445569.6
Median Absolute Deviation (MAD)20000
Skewness-0.19621841
Sum8.166 × 108
Variance5.0783094 × 108
MonotonicityIncreasing
2024-04-21T04:00:55.541672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 45
19.0%
3470000 43
18.1%
3420000 42
17.7%
3450000 29
12.2%
3410000 26
11.0%
3430000 18
 
7.6%
3440000 18
 
7.6%
3480000 16
 
6.8%
ValueCountFrequency (%)
3410000 26
11.0%
3420000 42
17.7%
3430000 18
 
7.6%
3440000 18
 
7.6%
3450000 29
12.2%
3460000 45
19.0%
3470000 43
18.1%
3480000 16
 
6.8%
ValueCountFrequency (%)
3480000 16
 
6.8%
3470000 43
18.1%
3460000 45
19.0%
3450000 29
12.2%
3440000 18
 
7.6%
3430000 18
 
7.6%
3420000 42
17.7%
3410000 26
11.0%

관리번호
Text

UNIQUE 

Distinct237
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-21T04:00:56.162634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters5214
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

Unique237 ?
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%
3460000-135-2021-00002 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%
3460000-135-2007-00001 1
 
0.4%
3460000-135-2009-00001 1
 
0.4%
Other values (227) 227
95.8%
2024-04-21T04:00:57.014069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2188
42.0%
- 711
 
13.6%
1 543
 
10.4%
3 538
 
10.3%
2 420
 
8.1%
5 302
 
5.8%
4 301
 
5.8%
6 73
 
1.4%
7 63
 
1.2%
8 38
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4503
86.4%
Dash Punctuation 711
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2188
48.6%
1 543
 
12.1%
3 538
 
11.9%
2 420
 
9.3%
5 302
 
6.7%
4 301
 
6.7%
6 73
 
1.6%
7 63
 
1.4%
8 38
 
0.8%
9 37
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 711
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5214
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2188
42.0%
- 711
 
13.6%
1 543
 
10.4%
3 538
 
10.3%
2 420
 
8.1%
5 302
 
5.8%
4 301
 
5.8%
6 73
 
1.4%
7 63
 
1.2%
8 38
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2188
42.0%
- 711
 
13.6%
1 543
 
10.4%
3 538
 
10.3%
2 420
 
8.1%
5 302
 
5.8%
4 301
 
5.8%
6 73
 
1.4%
7 63
 
1.2%
8 38
 
0.7%

인허가일자
Real number (ℝ)

Distinct193
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20158279
Minimum20040610
Maximum20220329
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-21T04:00:57.260584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040610
5-th percentile20050486
Q120130708
median20170524
Q320200116
95-th percentile20211209
Maximum20220329
Range179719
Interquartile range (IQR)69408

Descriptive statistics

Standard deviation48797.843
Coefficient of variation (CV)0.0024207346
Kurtosis-0.045238015
Mean20158279
Median Absolute Deviation (MAD)30080
Skewness-0.88219993
Sum4.777512 × 109
Variance2.3812295 × 109
MonotonicityNot monotonic
2024-04-21T04:00:57.530547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160622 6
 
2.5%
20190517 4
 
1.7%
20151109 4
 
1.7%
20210929 3
 
1.3%
20130328 3
 
1.3%
20190508 3
 
1.3%
20120529 3
 
1.3%
20151216 3
 
1.3%
20140626 2
 
0.8%
20141231 2
 
0.8%
Other values (183) 204
86.1%
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 (%)
20220329 1
0.4%
20220328 1
0.4%
20220325 1
0.4%
20220324 1
0.4%
20220311 1
0.4%
20220221 1
0.4%
20220216 2
0.8%
20220203 1
0.4%
20211230 1
0.4%
20211228 1
0.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing237
Missing (%)100.0%
Memory size2.2 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3
129 
1
108 

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 (%)
3 129
54.4%
1 108
45.6%

Length

2024-04-21T04:00:57.769284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:00:57.923104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 129
54.4%
1 108
45.6%

영업상태명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
129 
영업/정상
108 

Length

Max length5
Median length2
Mean length3.3670886
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 129
54.4%
영업/정상 108
45.6%

Length

2024-04-21T04:00:58.106656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:00:58.277206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 129
54.4%
영업/정상 108
45.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
129 
1
108 

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 (%)
2 129
54.4%
1 108
45.6%

Length

2024-04-21T04:00:58.475500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:00:58.946397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 129
54.4%
1 108
45.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
129 
영업
108 

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 129
54.4%
영업 108
45.6%

Length

2024-04-21T04:00:59.253268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:00:59.544435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 129
54.4%
영업 108
45.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct120
Distinct (%)93.0%
Missing108
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean20167861
Minimum20051213
Maximum20220302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-21T04:00:59.882615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20051213
5-th percentile20084794
Q120141226
median20180808
Q320200316
95-th percentile20211115
Maximum20220302
Range169089
Interquartile range (IQR)59090

Descriptive statistics

Standard deviation39139.924
Coefficient of variation (CV)0.0019407078
Kurtosis0.52359269
Mean20167861
Median Absolute Deviation (MAD)20394
Skewness-1.0056911
Sum2.601654 × 109
Variance1.5319336 × 109
MonotonicityNot monotonic
2024-04-21T04:01:00.388378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191217 3
 
1.3%
20220203 2
 
0.8%
20190109 2
 
0.8%
20191030 2
 
0.8%
20210118 2
 
0.8%
20210622 2
 
0.8%
20180808 2
 
0.8%
20181115 2
 
0.8%
20070430 1
 
0.4%
20180417 1
 
0.4%
Other values (110) 110
46.4%
(Missing) 108
45.6%
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 (%)
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%
20210819 1
0.4%
20210622 2
0.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing237
Missing (%)100.0%
Memory size2.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing237
Missing (%)100.0%
Memory size2.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing237
Missing (%)100.0%
Memory size2.2 KiB

소재지전화
Text

MISSING 

Distinct108
Distinct (%)83.7%
Missing108
Missing (%)45.6%
Memory size2.0 KiB
2024-04-21T04:01:01.414585image/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%
2024-04-21T04:01:02.499575image/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 

Distinct142
Distinct (%)76.8%
Missing52
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean67.33773
Minimum0
Maximum493
Zeros16
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-21T04:01:02.750861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.5
median40.67
Q387.2
95-th percentile223.944
Maximum493
Range493
Interquartile range (IQR)70.7

Descriptive statistics

Standard deviation79.082404
Coefficient of variation (CV)1.1744145
Kurtosis7.396209
Mean67.33773
Median Absolute Deviation (MAD)28.35
Skewness2.4240168
Sum12457.48
Variance6254.0267
MonotonicityNot monotonic
2024-04-21T04:01:03.105933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 16
 
6.8%
15.0 5
 
2.1%
16.5 4
 
1.7%
33.0 4
 
1.7%
70.71 3
 
1.3%
76.0 3
 
1.3%
35.0 3
 
1.3%
6.3 2
 
0.8%
66.0 2
 
0.8%
226.08 2
 
0.8%
Other values (132) 141
59.5%
(Missing) 52
 
21.9%
ValueCountFrequency (%)
0.0 16
6.8%
1.0 1
 
0.4%
2.0 1
 
0.4%
3.0 2
 
0.8%
3.7 1
 
0.4%
4.0 1
 
0.4%
4.6 1
 
0.4%
6.0 1
 
0.4%
6.3 2
 
0.8%
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
0.8%
226.0 1
0.4%
215.72 1
0.4%

소재지우편번호
Real number (ℝ)

Distinct154
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean702927.09
Minimum367801
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-21T04:01:03.506431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367801
5-th percentile700413
Q1701840
median704060
Q3706032
95-th percentile711812.4
Maximum711891
Range344090
Interquartile range (IQR)4192

Descriptive statistics

Standard deviation22051.944
Coefficient of variation (CV)0.031371595
Kurtosis228.79644
Mean702927.09
Median Absolute Deviation (MAD)2217
Skewness-14.993063
Sum1.6659372 × 108
Variance4.8628822 × 108
MonotonicityNot monotonic
2024-04-21T04:01:03.941921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
703846 5
 
2.1%
700413 5
 
2.1%
704919 5
 
2.1%
702894 4
 
1.7%
700823 4
 
1.7%
711812 4
 
1.7%
701170 4
 
1.7%
703814 3
 
1.3%
701835 3
 
1.3%
704080 3
 
1.3%
Other values (144) 197
83.1%
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
2.1%
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
0.8%
711814 3
1.3%
711812 4
1.7%
706853 1
 
0.4%
706852 3
1.3%

소재지전체주소
Text

Distinct202
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-21T04:01:04.810542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length25.383966
Min length17

Characters and Unicode

Total characters6016
Distinct characters210
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

Unique174 ?
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 236
21.0%
번지 140
 
12.4%
98
 
8.7%
수성구 44
 
3.9%
동구 42
 
3.7%
달서구 41
 
3.6%
층 37
 
3.3%
북구 29
 
2.6%
중구 27
 
2.4%
호 23
 
2.0%
Other values (166) 408
36.3%
2024-04-21T04:01:06.112387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1327
22.1%
1108
18.4%
구 471
 
7.8%
동 276
 
4.6%
대 273
 
4.5%
시 240
 
4.0%
광 236
 
3.9%
역 236
 
3.9%
- 208
 
3.5%
지 177
 
2.9%
Other values (200) 1464
24.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3328
55.3%
Other Punctuation 1334
22.2%
Space Separator 1108
 
18.4%
Dash Punctuation 208
 
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 471
14.2%
동 276
 
8.3%
대 273
 
8.2%
시 240
 
7.2%
광 236
 
7.1%
역 236
 
7.1%
지 177
 
5.3%
번 140
 
4.2%
성 79
 
2.4%
서 68
 
2.0%
Other values (184) 1132
34.0%
Uppercase Letter
ValueCountFrequency (%)
S 3
25.0%
D 2
16.7%
K 2
16.7%
B 1
 
8.3%
T 1
 
8.3%
P 1
 
8.3%
J 1
 
8.3%
R 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
* 1327
99.5%
, 5
 
0.4%
& 1
 
0.1%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 208
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3328
55.3%
Common 2676
44.5%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 471
14.2%
동 276
 
8.3%
대 273
 
8.2%
시 240
 
7.2%
광 236
 
7.1%
역 236
 
7.1%
지 177
 
5.3%
번 140
 
4.2%
성 79
 
2.4%
서 68
 
2.0%
Other values (184) 1132
34.0%
Common
ValueCountFrequency (%)
* 1327
49.6%
1108
41.4%
- 208
 
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%
T 1
 
8.3%
P 1
 
8.3%
J 1
 
8.3%
R 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3328
55.3%
ASCII 2688
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1327
49.4%
1108
41.2%
- 208
 
7.7%
( 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 471
14.2%
동 276
 
8.3%
대 273
 
8.2%
시 240
 
7.2%
광 236
 
7.1%
역 236
 
7.1%
지 177
 
5.3%
번 140
 
4.2%
성 79
 
2.4%
서 68
 
2.0%
Other values (184) 1132
34.0%

도로명전체주소
Text

MISSING 

Distinct201
Distinct (%)90.1%
Missing14
Missing (%)5.9%
Memory size2.0 KiB
2024-04-21T04:01:07.115586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47
Mean length30.681614
Min length21

Characters and Unicode

Total characters6842
Distinct characters233
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

Unique184 ?
Unique (%)82.5%

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 223
 
15.9%
223
 
15.9%
층 148
 
10.6%
호 44
 
3.1%
수성구 42
 
3.0%
달서구 39
 
2.8%
동구 39
 
2.8%
북구 28
 
2.0%
중구 25
 
1.8%
지상*층 18
 
1.3%
Other values (275) 572
40.8%
2024-04-21T04:01:08.598631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1178
17.2%
* 1102
16.1%
구 480
 
7.0%
대 307
 
4.5%
동 295
 
4.3%
시 226
 
3.3%
역 224
 
3.3%
광 223
 
3.3%
로 221
 
3.2%
) 216
 
3.2%
Other values (223) 2370
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3856
56.4%
Other Punctuation 1312
 
19.2%
Space Separator 1178
 
17.2%
Close Punctuation 216
 
3.2%
Open Punctuation 216
 
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 480
 
12.4%
대 307
 
8.0%
동 295
 
7.7%
시 226
 
5.9%
역 224
 
5.8%
광 223
 
5.8%
로 221
 
5.7%
층 177
 
4.6%
성 96
 
2.5%
길 86
 
2.2%
Other values (205) 1521
39.4%
Uppercase Letter
ValueCountFrequency (%)
S 4
25.0%
A 2
12.5%
D 2
12.5%
K 2
12.5%
B 1
 
6.2%
H 1
 
6.2%
J 1
 
6.2%
R 1
 
6.2%
P 1
 
6.2%
T 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
* 1102
84.0%
, 209
 
15.9%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1178
100.0%
Close Punctuation
ValueCountFrequency (%)
) 216
100.0%
Open Punctuation
ValueCountFrequency (%)
( 216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3856
56.4%
Common 2970
43.4%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 480
 
12.4%
대 307
 
8.0%
동 295
 
7.7%
시 226
 
5.9%
역 224
 
5.8%
광 223
 
5.8%
로 221
 
5.7%
층 177
 
4.6%
성 96
 
2.5%
길 86
 
2.2%
Other values (205) 1521
39.4%
Latin
ValueCountFrequency (%)
S 4
25.0%
A 2
12.5%
D 2
12.5%
K 2
12.5%
B 1
 
6.2%
H 1
 
6.2%
J 1
 
6.2%
R 1
 
6.2%
P 1
 
6.2%
T 1
 
6.2%
Common
ValueCountFrequency (%)
1178
39.7%
* 1102
37.1%
) 216
 
7.3%
( 216
 
7.3%
, 209
 
7.0%
- 46
 
1.5%
~ 2
 
0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3856
56.4%
ASCII 2986
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1178
39.5%
* 1102
36.9%
) 216
 
7.2%
( 216
 
7.2%
, 209
 
7.0%
- 46
 
1.5%
S 4
 
0.1%
A 2
 
0.1%
D 2
 
0.1%
~ 2
 
0.1%
Other values (8) 9
 
0.3%
Hangul
ValueCountFrequency (%)
구 480
 
12.4%
대 307
 
8.0%
동 295
 
7.7%
시 226
 
5.9%
역 224
 
5.8%
광 223
 
5.8%
로 221
 
5.7%
층 177
 
4.6%
성 96
 
2.5%
길 86
 
2.2%
Other values (205) 1521
39.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct169
Distinct (%)75.8%
Missing14
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean42015.951
Minimum41000
Maximum43008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-21T04:01:09.011773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41065.3
Q141518
median42014
Q342502
95-th percentile42910
Maximum43008
Range2008
Interquartile range (IQR)984

Descriptive statistics

Standard deviation584.02453
Coefficient of variation (CV)0.013900067
Kurtosis-1.1072928
Mean42015.951
Median Absolute Deviation (MAD)494
Skewness-0.081012187
Sum9369557
Variance341084.65
MonotonicityNot monotonic
2024-04-21T04:01:09.474490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42709 4
 
1.7%
41475 4
 
1.7%
41832 4
 
1.7%
41028 3
 
1.3%
42975 3
 
1.3%
42910 3
 
1.3%
42160 3
 
1.3%
42140 3
 
1.3%
41567 3
 
1.3%
41809 3
 
1.3%
Other values (159) 190
80.2%
(Missing) 14
 
5.9%
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
0.8%
41068 1
 
0.4%
ValueCountFrequency (%)
43008 1
 
0.4%
42975 3
1.3%
42974 1
 
0.4%
42922 2
0.8%
42921 1
 
0.4%
42918 2
0.8%
42914 1
 
0.4%
42910 3
1.3%
42905 1
 
0.4%
42903 1
 
0.4%

사업장명
Text

Distinct202
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-04-21T04:01:10.306609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length7.1940928
Min length2

Characters and Unicode

Total characters1705
Distinct characters286
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

Unique178 ?
Unique (%)75.1%

Sample

1st row(주)리뉴메디
2nd row(주)엠지뉴턴
3rd row주식회사 에프엔디
4th row(주)에이지블루
5th row코엘
ValueCountFrequency (%)
주식회사 24
 
8.6%
주식회사월드라인 5
 
1.8%
주 4
 
1.4%
오롯이 4
 
1.4%
헬스마트 3
 
1.1%
안상규벌꿀 3
 
1.1%
에인에이(주 3
 
1.1%
오푸드 3
 
1.1%
f&d 3
 
1.1%
와이제이그룹 3
 
1.1%
Other values (200) 224
80.3%
2024-04-21T04:01:11.506128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 119
 
7.0%
이 101
 
5.9%
) 83
 
4.9%
( 83
 
4.9%
사 59
 
3.5%
회 51
 
3.0%
식 50
 
2.9%
리 46
 
2.7%
스 43
 
2.5%
42
 
2.5%
Other values (276) 1028
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1422
83.4%
Close Punctuation 83
 
4.9%
Open Punctuation 83
 
4.9%
Space Separator 42
 
2.5%
Lowercase Letter 36
 
2.1%
Uppercase Letter 34
 
2.0%
Other Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 119
 
8.4%
이 101
 
7.1%
사 59
 
4.1%
회 51
 
3.6%
식 50
 
3.5%
리 46
 
3.2%
스 43
 
3.0%
에 37
 
2.6%
오 29
 
2.0%
아 24
 
1.7%
Other values (241) 863
60.7%
Uppercase Letter
ValueCountFrequency (%)
C 4
11.8%
D 4
11.8%
F 4
11.8%
P 3
8.8%
K 3
8.8%
H 3
8.8%
T 2
 
5.9%
E 2
 
5.9%
N 2
 
5.9%
M 1
 
2.9%
Other values (6) 6
17.6%
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%
s 2
 
5.6%
y 2
 
5.6%
n 2
 
5.6%
p 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 (%)
42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1422
83.4%
Common 213
 
12.5%
Latin 70
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 119
 
8.4%
이 101
 
7.1%
사 59
 
4.1%
회 51
 
3.6%
식 50
 
3.5%
리 46
 
3.2%
스 43
 
3.0%
에 37
 
2.6%
오 29
 
2.0%
아 24
 
1.7%
Other values (241) 863
60.7%
Latin
ValueCountFrequency (%)
o 6
 
8.6%
a 5
 
7.1%
m 4
 
5.7%
C 4
 
5.7%
e 4
 
5.7%
D 4
 
5.7%
F 4
 
5.7%
P 3
 
4.3%
K 3
 
4.3%
h 3
 
4.3%
Other values (20) 30
42.9%
Common
ValueCountFrequency (%)
) 83
39.0%
( 83
39.0%
42
19.7%
& 4
 
1.9%
. 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1422
83.4%
ASCII 283
 
16.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 119
 
8.4%
이 101
 
7.1%
사 59
 
4.1%
회 51
 
3.6%
식 50
 
3.5%
리 46
 
3.2%
스 43
 
3.0%
에 37
 
2.6%
오 29
 
2.0%
아 24
 
1.7%
Other values (241) 863
60.7%
ASCII
ValueCountFrequency (%)
) 83
29.3%
( 83
29.3%
42
14.8%
o 6
 
2.1%
a 5
 
1.8%
m 4
 
1.4%
C 4
 
1.4%
e 4
 
1.4%
D 4
 
1.4%
F 4
 
1.4%
Other values (25) 44
15.5%

최종수정시점
Real number (ℝ)

Distinct235
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0179364 × 1013
Minimum2.0040615 × 1013
Maximum2.0220401 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-21T04:01:11.913203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040615 × 1013
5-th percentile2.0090223 × 1013
Q12.0160622 × 1013
median2.0191217 × 1013
Q32.0210422 × 1013
95-th percentile2.0220221 × 1013
Maximum2.0220401 × 1013
Range1.797861 × 1011
Interquartile range (IQR)4.9799962 × 1010

Descriptive statistics

Standard deviation4.1579367 × 1010
Coefficient of variation (CV)0.0020604894
Kurtosis1.7117193
Mean2.0179364 × 1013
Median Absolute Deviation (MAD)1.9489959 × 1010
Skewness-1.5007986
Sum4.7825093 × 1015
Variance1.7288437 × 1021
MonotonicityNot monotonic
2024-04-21T04:01:12.366160image/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%
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 (225) 225
94.9%
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 (%)
20220401095952 1
0.4%
20220329164948 1
0.4%
20220328113947 1
0.4%
20220325133333 1
0.4%
20220324135320 1
0.4%
20220318093137 1
0.4%
20220311130714 1
0.4%
20220310143138 1
0.4%
20220303095937 1
0.4%
20220303094846 1
0.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
U
123 
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 123
51.9%
I 114
48.1%

Length

2024-04-21T04:01:12.778353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:01:13.062876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 123
51.9%
i 114
48.1%

데이터갱신일자
Date

Distinct148
Distinct (%)62.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2018-08-31 23:59:59
Maximum2022-04-03 02:40:00
2024-04-21T04:01:13.388587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T04:01:13.805817image/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
237 

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 237
100.0%

Length

2024-04-21T04:01:14.208973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:01:14.492779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 237
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct206
Distinct (%)89.2%
Missing6
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean343154.34
Minimum325937.57
Maximum357984.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-21T04:01:15.008079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325937.57
5-th percentile332193.73
Q1340176.6
median344123.45
Q3346577.73
95-th percentile352587.62
Maximum357984.72
Range32047.151
Interquartile range (IQR)6401.1323

Descriptive statistics

Standard deviation5657.657
Coefficient of variation (CV)0.016487208
Kurtosis0.75847405
Mean343154.34
Median Absolute Deviation (MAD)2841.8413
Skewness-0.41783915
Sum79268653
Variance32009082
MonotonicityNot monotonic
2024-04-21T04:01:15.434119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341130.695482 4
 
1.7%
344940.956105 3
 
1.3%
341851.7649 3
 
1.3%
346971.046144 3
 
1.3%
334621.225167 3
 
1.3%
346719.597553 2
 
0.8%
346634.210978 2
 
0.8%
343716.960047 2
 
0.8%
347816.635606 2
 
0.8%
346540.998406 2
 
0.8%
Other values (196) 205
86.5%
(Missing) 6
 
2.5%
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%
353989.543422 1
0.4%
353654.387261 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct206
Distinct (%)89.2%
Missing6
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean263783.1
Minimum240649.76
Maximum277749.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-21T04:01:15.849683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240649.76
5-th percentile259011.7
Q1261709.35
median263802.31
Q3265312.89
95-th percentile270468.98
Maximum277749.02
Range37099.259
Interquartile range (IQR)3603.5352

Descriptive statistics

Standard deviation3875.6253
Coefficient of variation (CV)0.01469247
Kurtosis6.3477768
Mean263783.1
Median Absolute Deviation (MAD)1821.3218
Skewness-0.55211603
Sum60933897
Variance15020471
MonotonicityNot monotonic
2024-04-21T04:01:16.302614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264088.775394 4
 
1.7%
263802.308312 3
 
1.3%
264386.730931 3
 
1.3%
265744.422598 3
 
1.3%
262044.332358 3
 
1.3%
260970.583081 2
 
0.8%
262506.053568 2
 
0.8%
261711.25554 2
 
0.8%
270038.36677 2
 
0.8%
262334.746653 2
 
0.8%
Other values (196) 205
86.5%
(Missing) 6
 
2.5%
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
237 

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 237
100.0%

Length

2024-04-21T04:01:16.710420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:01:16.991129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 237
100.0%

남성종사자수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
190 
0
47 

Length

Max length4
Median length4
Mean length3.4050633
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
80.2%
0 47
 
19.8%

Length

2024-04-21T04:01:17.325297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:01:17.640885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
80.2%
0 47
 
19.8%

여성종사자수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
190 
0
47 

Length

Max length4
Median length4
Mean length3.4050633
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
80.2%
0 47
 
19.8%

Length

2024-04-21T04:01:17.983493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:01:18.299090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
80.2%
0 47
 
19.8%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing237
Missing (%)100.0%
Memory size2.2 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing237
Missing (%)100.0%
Memory size2.2 KiB

급수시설구분명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
204 
상수도전용
33 

Length

Max length5
Median length4
Mean length4.1392405
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> 204
86.1%
상수도전용 33
 
13.9%

Length

2024-04-21T04:01:18.620464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:01:18.918714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 204
86.1%
상수도전용 33
 
13.9%

총종업원수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
193 
0
44 

Length

Max length4
Median length4
Mean length3.443038
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
81.4%
0 44
 
18.6%

Length

2024-04-21T04:01:19.255408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:01:19.563422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 193
81.4%
0 44
 
18.6%

본사종업원수
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
169 
<NA>
67 
3
 
1

Length

Max length4
Median length1
Mean length1.8481013
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 169
71.3%
<NA> 67
 
28.3%
3 1
 
0.4%

Length

2024-04-21T04:01:19.919472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:01:20.255789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 169
71.3%
na 67
 
28.3%
3 1
 
0.4%

공장사무직종업원수
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
163 
<NA>
67 
1
 
5
2
 
2

Length

Max length4
Median length1
Mean length1.8481013
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 163
68.8%
<NA> 67
28.3%
1 5
 
2.1%
2 2
 
0.8%

Length

2024-04-21T04:01:20.616297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:01:20.945458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 163
68.8%
na 67
28.3%
1 5
 
2.1%
2 2
 
0.8%

공장판매직종업원수
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
162 
<NA>
67 
1
 
6
2
 
2

Length

Max length4
Median length1
Mean length1.8481013
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 162
68.4%
<NA> 67
28.3%
1 6
 
2.5%
2 2
 
0.8%

Length

2024-04-21T04:01:21.309244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:01:21.639582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 162
68.4%
na 67
28.3%
1 6
 
2.5%
2 2
 
0.8%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
170 
<NA>
67 

Length

Max length4
Median length1
Mean length1.8481013
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 170
71.7%
<NA> 67
 
28.3%

Length

2024-04-21T04:01:22.004398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:01:22.319338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 170
71.7%
na 67
 
28.3%

건물소유구분명
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
177 
자가
33 
임대
27 

Length

Max length4
Median length4
Mean length3.4936709
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> 177
74.7%
자가 33
 
13.9%
임대 27
 
11.4%

Length

2024-04-21T04:01:22.676744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:01:23.016376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 177
74.7%
자가 33
 
13.9%
임대 27
 
11.4%

보증액
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
190 
0
47 

Length

Max length4
Median length4
Mean length3.4050633
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
80.2%
0 47
 
19.8%

Length

2024-04-21T04:01:23.375845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:01:23.696076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
80.2%
0 47
 
19.8%

월세액
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
190 
0
47 

Length

Max length4
Median length4
Mean length3.4050633
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
80.2%
0 47
 
19.8%

Length

2024-04-21T04:01:24.041610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:01:24.356343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
80.2%
0 47
 
19.8%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size365.0 B
False
237 
ValueCountFrequency (%)
False 237
100.0%
2024-04-21T04:01:24.601047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4938819
Minimum0
Maximum377.92
Zeros229
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-21T04:01:24.853154image/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 deviation26.408288
Coefficient of variation (CV)10.58923
Kurtosis178.60908
Mean2.4938819
Median Absolute Deviation (MAD)0
Skewness13.009875
Sum591.05
Variance697.39769
MonotonicityNot monotonic
2024-04-21T04:01:25.204537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 229
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 (%)
0.0 229
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%
0.0 229
96.6%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing237
Missing (%)100.0%
Memory size2.2 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing237
Missing (%)100.0%
Memory size2.2 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing237
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
227228건강기능식품유통전문판매업07_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>
228229건강기능식품유통전문판매업07_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>
229230건강기능식품유통전문판매업07_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>
230231건강기능식품유통전문판매업07_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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