Overview

Dataset statistics

Number of variables47
Number of observations190
Missing cells2133
Missing cells (%)23.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory75.6 KiB
Average record size in memory407.7 B

Variable types

Numeric11
Categorical19
Text5
Unsupported10
DateTime1
Boolean1

Dataset

Description6270000_대구광역시_07_22_02_P_건강기능식품유통전문판매업_11월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000086708&dataSetDetailId=DDI_0000086756&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
업태구분명 has constant value ""Constant
위생업태명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (88.3%)Imbalance
여성종사자수 is highly imbalanced (88.3%)Imbalance
보증액 is highly imbalanced (88.3%)Imbalance
월세액 is highly imbalanced (88.3%)Imbalance
인허가취소일자 has 190 (100.0%) missing valuesMissing
폐업일자 has 81 (42.6%) missing valuesMissing
휴업시작일자 has 190 (100.0%) missing valuesMissing
휴업종료일자 has 190 (100.0%) missing valuesMissing
재개업일자 has 190 (100.0%) missing valuesMissing
소재지전화 has 78 (41.1%) missing valuesMissing
소재지면적 has 38 (20.0%) missing valuesMissing
도로명전체주소 has 14 (7.4%) missing valuesMissing
도로명우편번호 has 14 (7.4%) missing valuesMissing
좌표정보(X) has 4 (2.1%) missing valuesMissing
좌표정보(Y) has 4 (2.1%) missing valuesMissing
영업장주변구분명 has 190 (100.0%) missing valuesMissing
등급구분명 has 190 (100.0%) missing valuesMissing
총종업원수 has 190 (100.0%) missing valuesMissing
전통업소지정번호 has 190 (100.0%) missing valuesMissing
전통업소주된음식 has 190 (100.0%) missing valuesMissing
홈페이지 has 190 (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
총종업원수 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 8 (4.2%) zerosZeros
시설총규모 has 183 (96.3%) zerosZeros

Reproduction

Analysis started2024-04-20 22:45:11.265812
Analysis finished2024-04-20 22:45:12.448114
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct190
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.5
Minimum1
Maximum190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T07:45:12.636913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.45
Q148.25
median95.5
Q3142.75
95-th percentile180.55
Maximum190
Range189
Interquartile range (IQR)94.5

Descriptive statistics

Standard deviation54.992424
Coefficient of variation (CV)0.5758369
Kurtosis-1.2
Mean95.5
Median Absolute Deviation (MAD)47.5
Skewness0
Sum18145
Variance3024.1667
MonotonicityStrictly increasing
2024-04-21T07:45:13.078360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
132 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
Other values (180) 180
94.7%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
190 1
0.5%
189 1
0.5%
188 1
0.5%
187 1
0.5%
186 1
0.5%
185 1
0.5%
184 1
0.5%
183 1
0.5%
182 1
0.5%
181 1
0.5%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
건강기능식품유통전문판매업
190 

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 190
100.0%

Length

2024-04-21T07:45:13.497610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:45:13.811357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 190
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
07_22_02_P
190 

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 190
100.0%

Length

2024-04-21T07:45:14.137547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:45:14.449656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_02_p 190
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3444526.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T07:45:14.723425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33460000
95-th percentile3475500
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation22219.131
Coefficient of variation (CV)0.0064505621
Kurtosis-1.3343832
Mean3444526.3
Median Absolute Deviation (MAD)20000
Skewness-0.16020155
Sum6.5446 × 108
Variance4.9368978 × 108
MonotonicityIncreasing
2024-04-21T07:45:15.087757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 36
18.9%
3470000 33
17.4%
3420000 31
16.3%
3410000 23
12.1%
3450000 23
12.1%
3430000 17
8.9%
3440000 17
8.9%
3480000 10
 
5.3%
ValueCountFrequency (%)
3410000 23
12.1%
3420000 31
16.3%
3430000 17
8.9%
3440000 17
8.9%
3450000 23
12.1%
3460000 36
18.9%
3470000 33
17.4%
3480000 10
 
5.3%
ValueCountFrequency (%)
3480000 10
 
5.3%
3470000 33
17.4%
3460000 36
18.9%
3450000 23
12.1%
3440000 17
8.9%
3430000 17
8.9%
3420000 31
16.3%
3410000 23
12.1%

관리번호
Text

UNIQUE 

Distinct190
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-21T07:45:15.789520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters4180
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

Unique190 ?
Unique (%)100.0%

Sample

1st row3410000-135-2016-00002
2nd row3410000-135-2019-00004
3rd row3410000-135-2014-00003
4th row3410000-135-2014-00002
5th row3410000-135-2014-00001
ValueCountFrequency (%)
3410000-135-2016-00002 1
 
0.5%
3460000-135-2014-00003 1
 
0.5%
3460000-135-2007-00001 1
 
0.5%
3460000-135-2016-00002 1
 
0.5%
3460000-135-2016-00001 1
 
0.5%
3460000-135-2011-00003 1
 
0.5%
3460000-135-2011-00002 1
 
0.5%
3460000-135-2020-00003 1
 
0.5%
3460000-135-2015-00004 1
 
0.5%
3460000-135-2015-00003 1
 
0.5%
Other values (180) 180
94.7%
2024-04-21T07:45:16.815502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1764
42.2%
- 570
 
13.6%
1 443
 
10.6%
3 435
 
10.4%
2 302
 
7.2%
4 248
 
5.9%
5 245
 
5.9%
6 59
 
1.4%
7 49
 
1.2%
9 35
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3610
86.4%
Dash Punctuation 570
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1764
48.9%
1 443
 
12.3%
3 435
 
12.0%
2 302
 
8.4%
4 248
 
6.9%
5 245
 
6.8%
6 59
 
1.6%
7 49
 
1.4%
9 35
 
1.0%
8 30
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 570
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4180
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1764
42.2%
- 570
 
13.6%
1 443
 
10.6%
3 435
 
10.4%
2 302
 
7.2%
4 248
 
5.9%
5 245
 
5.9%
6 59
 
1.4%
7 49
 
1.2%
9 35
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1764
42.2%
- 570
 
13.6%
1 443
 
10.6%
3 435
 
10.4%
2 302
 
7.2%
4 248
 
5.9%
5 245
 
5.9%
6 59
 
1.4%
7 49
 
1.2%
9 35
 
0.8%

인허가일자
Real number (ℝ)

Distinct156
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20146627
Minimum20040610
Maximum20201106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T07:45:17.063516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040610
5-th percentile20045344
Q120120766
median20151216
Q320190123
95-th percentile20200616
Maximum20201106
Range160496
Interquartile range (IQR)69356.75

Descriptive statistics

Standard deviation45963.53
Coefficient of variation (CV)0.0022814504
Kurtosis-0.17665259
Mean20146627
Median Absolute Deviation (MAD)30687
Skewness-0.84451492
Sum3.8278591 × 109
Variance2.1126461 × 109
MonotonicityNot monotonic
2024-04-21T07:45:17.335342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160622 4
 
2.1%
20190517 4
 
2.1%
20151109 4
 
2.1%
20120529 3
 
1.6%
20130328 3
 
1.6%
20151216 3
 
1.6%
20180528 2
 
1.1%
20111007 2
 
1.1%
20160518 2
 
1.1%
20141007 2
 
1.1%
Other values (146) 161
84.7%
ValueCountFrequency (%)
20040610 1
0.5%
20040615 1
0.5%
20040621 1
0.5%
20040706 1
0.5%
20040709 1
0.5%
20040729 1
0.5%
20040825 1
0.5%
20040907 1
0.5%
20041130 1
0.5%
20041202 1
0.5%
ValueCountFrequency (%)
20201106 1
0.5%
20201105 2
1.1%
20200923 1
0.5%
20200914 1
0.5%
20200806 1
0.5%
20200728 1
0.5%
20200707 1
0.5%
20200702 1
0.5%
20200625 1
0.5%
20200604 1
0.5%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
109 
1
81 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 109
57.4%
1 81
42.6%

Length

2024-04-21T07:45:17.763846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:45:18.081164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 109
57.4%
1 81
42.6%

영업상태명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
109 
영업/정상
81 

Length

Max length5
Median length2
Mean length3.2789474
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row영업/정상
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 109
57.4%
영업/정상 81
42.6%

Length

2024-04-21T07:45:18.446597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:45:18.774937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 109
57.4%
영업/정상 81
42.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2
109 
1
81 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 109
57.4%
1 81
42.6%

Length

2024-04-21T07:45:19.123706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:45:19.440856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 109
57.4%
1 81
42.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
109 
영업
81 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 109
57.4%
영업 81
42.6%

Length

2024-04-21T07:45:19.786900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:45:20.103259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 109
57.4%
영업 81
42.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct103
Distinct (%)94.5%
Missing81
Missing (%)42.6%
Infinite0
Infinite (%)0.0%
Mean20159832
Minimum20051213
Maximum20201123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T07:45:20.452748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20051213
5-th percentile20075022
Q120140415
median20170727
Q320190613
95-th percentile20200723
Maximum20201123
Range149910
Interquartile range (IQR)50198

Descriptive statistics

Standard deviation37274.89
Coefficient of variation (CV)0.0018489683
Kurtosis0.50262927
Mean20159832
Median Absolute Deviation (MAD)20490
Skewness-1.037444
Sum2.1974217 × 109
Variance1.3894174 × 109
MonotonicityNot monotonic
2024-04-21T07:45:20.907006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191217 3
 
1.6%
20190109 2
 
1.1%
20181115 2
 
1.1%
20180808 2
 
1.1%
20191030 2
 
1.1%
20150204 1
 
0.5%
20070430 1
 
0.5%
20120626 1
 
0.5%
20130626 1
 
0.5%
20191210 1
 
0.5%
Other values (93) 93
48.9%
(Missing) 81
42.6%
ValueCountFrequency (%)
20051213 1
0.5%
20060608 1
0.5%
20060724 1
0.5%
20070123 1
0.5%
20070430 1
0.5%
20071226 1
0.5%
20080716 1
0.5%
20090910 1
0.5%
20100318 1
0.5%
20101118 1
0.5%
ValueCountFrequency (%)
20201123 1
0.5%
20201120 1
0.5%
20200915 1
0.5%
20200827 1
0.5%
20200824 1
0.5%
20200723 1
0.5%
20200722 1
0.5%
20200619 1
0.5%
20200612 1
0.5%
20200528 1
0.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

소재지전화
Text

MISSING 

Distinct95
Distinct (%)84.8%
Missing78
Missing (%)41.1%
Memory size1.6 KiB
2024-04-21T07:45:21.964492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.303571
Min length3

Characters and Unicode

Total characters1266
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

Unique83 ?
Unique (%)74.1%

Sample

1st row053420 7493
2nd row16704345
3rd row053 4297172
4th row07075389220
5th row053 4248104
ValueCountFrequency (%)
053 80
30.3%
070 9
 
3.4%
985 4
 
1.5%
9824 3
 
1.1%
2926389 3
 
1.1%
0156 3
 
1.1%
755 3
 
1.1%
3341 3
 
1.1%
07075701074 3
 
1.1%
324 3
 
1.1%
Other values (136) 150
56.8%
2024-04-21T07:45:23.128249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 218
17.2%
5 201
15.9%
153
12.1%
3 145
11.5%
2 100
7.9%
7 97
7.7%
8 81
 
6.4%
9 70
 
5.5%
1 69
 
5.5%
4 67
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1113
87.9%
Space Separator 153
 
12.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 218
19.6%
5 201
18.1%
3 145
13.0%
2 100
9.0%
7 97
8.7%
8 81
 
7.3%
9 70
 
6.3%
1 69
 
6.2%
4 67
 
6.0%
6 65
 
5.8%
Space Separator
ValueCountFrequency (%)
153
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1266
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 218
17.2%
5 201
15.9%
153
12.1%
3 145
11.5%
2 100
7.9%
7 97
7.7%
8 81
 
6.4%
9 70
 
5.5%
1 69
 
5.5%
4 67
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1266
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 218
17.2%
5 201
15.9%
153
12.1%
3 145
11.5%
2 100
7.9%
7 97
7.7%
8 81
 
6.4%
9 70
 
5.5%
1 69
 
5.5%
4 67
 
5.3%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct126
Distinct (%)82.9%
Missing38
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean70.215526
Minimum0
Maximum493
Zeros8
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T07:45:23.492673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.825
Q122.0075
median41.845
Q389.76
95-th percentile220.346
Maximum493
Range493
Interquartile range (IQR)67.7525

Descriptive statistics

Standard deviation80.003822
Coefficient of variation (CV)1.1394036
Kurtosis7.7935676
Mean70.215526
Median Absolute Deviation (MAD)28.285
Skewness2.469808
Sum10672.76
Variance6400.6115
MonotonicityNot monotonic
2024-04-21T07:45:23.927868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8
 
4.2%
15.0 4
 
2.1%
33.0 3
 
1.6%
76.0 3
 
1.6%
60.0 3
 
1.6%
16.4 2
 
1.1%
21.84 2
 
1.1%
29.82 2
 
1.1%
89.76 2
 
1.1%
150.0 2
 
1.1%
Other values (116) 121
63.7%
(Missing) 38
 
20.0%
ValueCountFrequency (%)
0.0 8
4.2%
1.5 1
 
0.5%
2.0 1
 
0.5%
3.0 2
 
1.1%
3.7 1
 
0.5%
4.0 1
 
0.5%
4.6 1
 
0.5%
6.0 1
 
0.5%
6.3 1
 
0.5%
9.0 1
 
0.5%
ValueCountFrequency (%)
493.0 1
0.5%
377.92 1
0.5%
376.86 1
0.5%
375.0 1
0.5%
265.29 1
0.5%
240.0 1
0.5%
226.08 1
0.5%
226.0 1
0.5%
215.72 1
0.5%
211.83 1
0.5%

소재지우편번호
Real number (ℝ)

Distinct130
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean702475
Minimum367801
Maximum711856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T07:45:24.329846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367801
5-th percentile700413
Q1701843
median703847
Q3705829
95-th percentile709580
Maximum711856
Range344055
Interquartile range (IQR)3986

Descriptive statistics

Standard deviation24563.367
Coefficient of variation (CV)0.034966892
Kurtosis185.17153
Mean702475
Median Absolute Deviation (MAD)2001
Skewness-13.520691
Sum1.3347025 × 108
Variance6.0335901 × 108
MonotonicityNot monotonic
2024-04-21T07:45:24.774225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
703846 5
 
2.6%
701170 4
 
2.1%
700823 4
 
2.1%
700413 4
 
2.1%
704919 4
 
2.1%
711812 3
 
1.6%
704946 3
 
1.6%
704080 3
 
1.6%
701840 3
 
1.6%
706800 3
 
1.6%
Other values (120) 154
81.1%
ValueCountFrequency (%)
367801 1
 
0.5%
700070 1
 
0.5%
700092 1
 
0.5%
700111 1
 
0.5%
700160 1
 
0.5%
700230 1
 
0.5%
700412 2
1.1%
700413 4
2.1%
700713 1
 
0.5%
700718 1
 
0.5%
ValueCountFrequency (%)
711856 1
 
0.5%
711851 1
 
0.5%
711823 1
 
0.5%
711821 1
 
0.5%
711815 1
 
0.5%
711814 2
1.1%
711812 3
1.6%
706852 2
1.1%
706849 2
1.1%
706840 1
 
0.5%

소재지전체주소
Text

Distinct179
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-21T07:45:26.010373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length40
Mean length25.736842
Min length17

Characters and Unicode

Total characters4890
Distinct characters204
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

Unique170 ?
Unique (%)89.5%

Sample

1st row대구광역시 중구 문화동 0006-0002번지 지상3층
2nd row대구광역시 중구 남산동 0927-0009번지 메디스퀘어 903호
3rd row대구광역시 중구 대봉동 0214번지 대백프라자 지상4층
4th row대구광역시 중구 달성동 0145-0007번지 지상3층
5th row대구광역시 중구 삼덕동2가 0210-0001번지 지상12층 1203호
ValueCountFrequency (%)
대구광역시 189
 
21.3%
수성구 35
 
3.9%
달서구 32
 
3.6%
동구 31
 
3.5%
중구 24
 
2.7%
북구 23
 
2.6%
서구 17
 
1.9%
남구 17
 
1.9%
대명동 12
 
1.4%
달성군 10
 
1.1%
Other values (346) 498
56.1%
2024-04-21T07:45:27.613969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
877
17.9%
구 376
 
7.7%
1 242
 
4.9%
동 217
 
4.4%
대 214
 
4.4%
지 200
 
4.1%
시 193
 
3.9%
광 189
 
3.9%
역 189
 
3.9%
0 168
 
3.4%
Other values (194) 2025
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2725
55.7%
Decimal Number 1083
 
22.1%
Space Separator 877
 
17.9%
Dash Punctuation 167
 
3.4%
Open Punctuation 14
 
0.3%
Close Punctuation 14
 
0.3%
Other Punctuation 5
 
0.1%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 376
13.8%
동 217
 
8.0%
대 214
 
7.9%
지 200
 
7.3%
시 193
 
7.1%
광 189
 
6.9%
역 189
 
6.9%
번 167
 
6.1%
성 61
 
2.2%
서 55
 
2.0%
Other values (172) 864
31.7%
Decimal Number
ValueCountFrequency (%)
1 242
22.3%
0 168
15.5%
2 126
11.6%
3 99
9.1%
5 86
 
7.9%
7 82
 
7.6%
6 77
 
7.1%
4 76
 
7.0%
9 72
 
6.6%
8 55
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
D 1
20.0%
B 1
20.0%
R 1
20.0%
K 1
20.0%
S 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
& 1
 
20.0%
/ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
877
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 167
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2725
55.7%
Common 2160
44.2%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 376
13.8%
동 217
 
8.0%
대 214
 
7.9%
지 200
 
7.3%
시 193
 
7.1%
광 189
 
6.9%
역 189
 
6.9%
번 167
 
6.1%
성 61
 
2.2%
서 55
 
2.0%
Other values (172) 864
31.7%
Common
ValueCountFrequency (%)
877
40.6%
1 242
 
11.2%
0 168
 
7.8%
- 167
 
7.7%
2 126
 
5.8%
3 99
 
4.6%
5 86
 
4.0%
7 82
 
3.8%
6 77
 
3.6%
4 76
 
3.5%
Other values (7) 160
 
7.4%
Latin
ValueCountFrequency (%)
D 1
20.0%
B 1
20.0%
R 1
20.0%
K 1
20.0%
S 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2725
55.7%
ASCII 2165
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
877
40.5%
1 242
 
11.2%
0 168
 
7.8%
- 167
 
7.7%
2 126
 
5.8%
3 99
 
4.6%
5 86
 
4.0%
7 82
 
3.8%
6 77
 
3.6%
4 76
 
3.5%
Other values (12) 165
 
7.6%
Hangul
ValueCountFrequency (%)
구 376
13.8%
동 217
 
8.0%
대 214
 
7.9%
지 200
 
7.3%
시 193
 
7.1%
광 189
 
6.9%
역 189
 
6.9%
번 167
 
6.1%
성 61
 
2.2%
서 55
 
2.0%
Other values (172) 864
31.7%

도로명전체주소
Text

MISSING 

Distinct166
Distinct (%)94.3%
Missing14
Missing (%)7.4%
Memory size1.6 KiB
2024-04-21T07:45:28.890064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length44
Mean length30.176136
Min length21

Characters and Unicode

Total characters5311
Distinct characters228
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique159 ?
Unique (%)90.3%

Sample

1st row대구광역시 중구 경상감영길 184 (문화동, 지상3층)
2nd row대구광역시 중구 달구벌대로 2094, 메디스퀘어 903호 (남산동)
3rd row대구광역시 중구 명덕로 333, 대백프라자 지상4층 (대봉동)
4th row대구광역시 중구 태평로 13 (달성동, 지상3층)
5th row대구광역시 중구 동덕로 115 (삼덕동2가, 지상12층 1203호)
ValueCountFrequency (%)
대구광역시 176
 
16.2%
수성구 33
 
3.0%
달서구 30
 
2.8%
1층 29
 
2.7%
동구 28
 
2.6%
2층 28
 
2.6%
북구 22
 
2.0%
중구 22
 
2.0%
3층 19
 
1.7%
4층 17
 
1.6%
Other values (415) 683
62.8%
2024-04-21T07:45:30.680085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
912
 
17.2%
구 379
 
7.1%
대 238
 
4.5%
동 225
 
4.2%
1 194
 
3.7%
시 178
 
3.4%
역 177
 
3.3%
광 176
 
3.3%
) 175
 
3.3%
( 175
 
3.3%
Other values (218) 2482
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2987
56.2%
Space Separator 912
 
17.2%
Decimal Number 858
 
16.2%
Close Punctuation 175
 
3.3%
Open Punctuation 175
 
3.3%
Other Punctuation 159
 
3.0%
Dash Punctuation 34
 
0.6%
Uppercase Letter 9
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 379
 
12.7%
대 238
 
8.0%
동 225
 
7.5%
시 178
 
6.0%
역 177
 
5.9%
광 176
 
5.9%
로 174
 
5.8%
층 137
 
4.6%
성 76
 
2.5%
달 64
 
2.1%
Other values (194) 1163
38.9%
Decimal Number
ValueCountFrequency (%)
1 194
22.6%
2 125
14.6%
3 115
13.4%
5 85
9.9%
4 84
9.8%
0 66
 
7.7%
6 63
 
7.3%
8 45
 
5.2%
7 44
 
5.1%
9 37
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
S 2
22.2%
A 2
22.2%
B 1
11.1%
R 1
11.1%
D 1
11.1%
K 1
11.1%
H 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 158
99.4%
& 1
 
0.6%
Space Separator
ValueCountFrequency (%)
912
100.0%
Close Punctuation
ValueCountFrequency (%)
) 175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2987
56.2%
Common 2315
43.6%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 379
 
12.7%
대 238
 
8.0%
동 225
 
7.5%
시 178
 
6.0%
역 177
 
5.9%
광 176
 
5.9%
로 174
 
5.8%
층 137
 
4.6%
성 76
 
2.5%
달 64
 
2.1%
Other values (194) 1163
38.9%
Common
ValueCountFrequency (%)
912
39.4%
1 194
 
8.4%
) 175
 
7.6%
( 175
 
7.6%
, 158
 
6.8%
2 125
 
5.4%
3 115
 
5.0%
5 85
 
3.7%
4 84
 
3.6%
0 66
 
2.9%
Other values (7) 226
 
9.8%
Latin
ValueCountFrequency (%)
S 2
22.2%
A 2
22.2%
B 1
11.1%
R 1
11.1%
D 1
11.1%
K 1
11.1%
H 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2987
56.2%
ASCII 2324
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
912
39.2%
1 194
 
8.3%
) 175
 
7.5%
( 175
 
7.5%
, 158
 
6.8%
2 125
 
5.4%
3 115
 
4.9%
5 85
 
3.7%
4 84
 
3.6%
0 66
 
2.8%
Other values (14) 235
 
10.1%
Hangul
ValueCountFrequency (%)
구 379
 
12.7%
대 238
 
8.0%
동 225
 
7.5%
시 178
 
6.0%
역 177
 
5.9%
광 176
 
5.9%
로 174
 
5.8%
층 137
 
4.6%
성 76
 
2.5%
달 64
 
2.1%
Other values (194) 1163
38.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct143
Distinct (%)81.2%
Missing14
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean42011.307
Minimum41000
Maximum42975
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T07:45:31.129398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41065
Q141541
median42007
Q342474.25
95-th percentile42903.5
Maximum42975
Range1975
Interquartile range (IQR)933.25

Descriptive statistics

Standard deviation562.51568
Coefficient of variation (CV)0.013389626
Kurtosis-1.0224238
Mean42011.307
Median Absolute Deviation (MAD)467.5
Skewness-0.097734048
Sum7393990
Variance316423.89
MonotonicityNot monotonic
2024-04-21T07:45:31.623610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41832 4
 
2.1%
41948 3
 
1.6%
42709 3
 
1.6%
42160 3
 
1.6%
41028 3
 
1.6%
41475 3
 
1.6%
41959 2
 
1.1%
42007 2
 
1.1%
42820 2
 
1.1%
42445 2
 
1.1%
Other values (133) 149
78.4%
(Missing) 14
 
7.4%
ValueCountFrequency (%)
41000 1
 
0.5%
41026 1
 
0.5%
41028 3
1.6%
41033 1
 
0.5%
41040 1
 
0.5%
41059 1
 
0.5%
41065 2
1.1%
41069 1
 
0.5%
41088 1
 
0.5%
41109 1
 
0.5%
ValueCountFrequency (%)
42975 2
1.1%
42922 1
0.5%
42921 1
0.5%
42918 1
0.5%
42914 1
0.5%
42910 2
1.1%
42905 1
0.5%
42903 1
0.5%
42839 1
0.5%
42820 2
1.1%

사업장명
Text

Distinct161
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-21T07:45:32.468693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length15
Mean length7.0736842
Min length2

Characters and Unicode

Total characters1344
Distinct characters255
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

Unique140 ?
Unique (%)73.7%

Sample

1st row주식회사월드라인
2nd row(주)리뉴메디
3rd row(주) 가인누리
4th row세종라이프
5th row(주)채이은
ValueCountFrequency (%)
주식회사 16
 
7.3%
오롯이 4
 
1.8%
주 4
 
1.8%
에인에이(주 3
 
1.4%
헬스마트 3
 
1.4%
주식회사월드라인 3
 
1.4%
에이팜 3
 
1.4%
안상규벌꿀 3
 
1.4%
f&d 3
 
1.4%
오푸드 3
 
1.4%
Other values (156) 174
79.5%
2024-04-21T07:45:33.665739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 94
 
7.0%
이 78
 
5.8%
( 71
 
5.3%
) 71
 
5.3%
사 41
 
3.1%
리 39
 
2.9%
스 33
 
2.5%
에 33
 
2.5%
회 32
 
2.4%
식 32
 
2.4%
Other values (245) 820
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1112
82.7%
Open Punctuation 71
 
5.3%
Close Punctuation 71
 
5.3%
Space Separator 29
 
2.2%
Lowercase Letter 29
 
2.2%
Uppercase Letter 27
 
2.0%
Other Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 94
 
8.5%
이 78
 
7.0%
사 41
 
3.7%
리 39
 
3.5%
스 33
 
3.0%
에 33
 
3.0%
회 32
 
2.9%
식 32
 
2.9%
오 25
 
2.2%
인 18
 
1.6%
Other values (215) 687
61.8%
Uppercase Letter
ValueCountFrequency (%)
D 4
14.8%
F 4
14.8%
P 3
11.1%
K 3
11.1%
C 3
11.1%
H 2
7.4%
N 1
 
3.7%
M 1
 
3.7%
E 1
 
3.7%
B 1
 
3.7%
Other values (4) 4
14.8%
Lowercase Letter
ValueCountFrequency (%)
o 6
20.7%
a 5
17.2%
s 4
13.8%
m 4
13.8%
e 3
10.3%
r 2
 
6.9%
k 1
 
3.4%
p 1
 
3.4%
h 1
 
3.4%
n 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
& 4
80.0%
. 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1112
82.7%
Common 176
 
13.1%
Latin 56
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 94
 
8.5%
이 78
 
7.0%
사 41
 
3.7%
리 39
 
3.5%
스 33
 
3.0%
에 33
 
3.0%
회 32
 
2.9%
식 32
 
2.9%
오 25
 
2.2%
인 18
 
1.6%
Other values (215) 687
61.8%
Latin
ValueCountFrequency (%)
o 6
 
10.7%
a 5
 
8.9%
D 4
 
7.1%
F 4
 
7.1%
s 4
 
7.1%
m 4
 
7.1%
P 3
 
5.4%
K 3
 
5.4%
C 3
 
5.4%
e 3
 
5.4%
Other values (15) 17
30.4%
Common
ValueCountFrequency (%)
( 71
40.3%
) 71
40.3%
29
16.5%
& 4
 
2.3%
. 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1112
82.7%
ASCII 232
 
17.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 94
 
8.5%
이 78
 
7.0%
사 41
 
3.7%
리 39
 
3.5%
스 33
 
3.0%
에 33
 
3.0%
회 32
 
2.9%
식 32
 
2.9%
오 25
 
2.2%
인 18
 
1.6%
Other values (215) 687
61.8%
ASCII
ValueCountFrequency (%)
( 71
30.6%
) 71
30.6%
29
12.5%
o 6
 
2.6%
a 5
 
2.2%
D 4
 
1.7%
& 4
 
1.7%
F 4
 
1.7%
s 4
 
1.7%
m 4
 
1.7%
Other values (20) 30
12.9%

최종수정시점
Real number (ℝ)

Distinct188
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0166523 × 1013
Minimum2.0040615 × 1013
Maximum2.0201123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T07:45:34.067437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040615 × 1013
5-th percentile2.0080994 × 1013
Q12.0141003 × 1013
median2.0181122 × 1013
Q32.0197889 × 1013
95-th percentile2.0200913 × 1013
Maximum2.0201123 × 1013
Range1.6050816 × 1011
Interquartile range (IQR)5.6886248 × 1010

Descriptive statistics

Standard deviation4.0245965 × 1010
Coefficient of variation (CV)0.0019956819
Kurtosis1.2183036
Mean2.0166523 × 1013
Median Absolute Deviation (MAD)1.9291516 × 1010
Skewness-1.3848663
Sum3.8316393 × 1015
Variance1.6197377 × 1021
MonotonicityNot monotonic
2024-04-21T07:45:34.370717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130328150015 2
 
1.1%
20061106000000 2
 
1.1%
20160622142307 1
 
0.5%
20071101134112 1
 
0.5%
20111122094521 1
 
0.5%
20111026113714 1
 
0.5%
20200612165605 1
 
0.5%
20191101174132 1
 
0.5%
20150225101430 1
 
0.5%
20171227153729 1
 
0.5%
Other values (178) 178
93.7%
ValueCountFrequency (%)
20040615000000 1
0.5%
20040719000000 1
0.5%
20040907000000 1
0.5%
20041202000000 1
0.5%
20060721000000 1
0.5%
20060725000000 1
0.5%
20061106000000 2
1.1%
20071101134112 1
0.5%
20080904110813 1
0.5%
20081104113435 1
0.5%
ValueCountFrequency (%)
20201123161923 1
0.5%
20201120140529 1
0.5%
20201120135846 1
0.5%
20201106111244 1
0.5%
20201023141047 1
0.5%
20200923160940 1
0.5%
20200918152055 1
0.5%
20200915155815 1
0.5%
20200915134541 1
0.5%
20200914115821 1
0.5%

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
I
103 
U
87 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 103
54.2%
U 87
45.8%

Length

2024-04-21T07:45:34.678496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:45:34.850951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 103
54.2%
u 87
45.8%

데이터갱신일자
Date

Distinct92
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2018-08-31 23:59:59
Maximum2020-11-25 02:40:00
2024-04-21T07:45:35.258749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T07:45:35.501081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
건강기능식품유통전문판매업
190 

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 190
100.0%

Length

2024-04-21T07:45:35.731404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:45:35.903372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 190
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct169
Distinct (%)90.9%
Missing4
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean343133.39
Minimum325937.57
Maximum356411.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T07:45:36.100185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325937.57
5-th percentile333615.17
Q1340217.99
median343784.53
Q3346286.78
95-th percentile351021.69
Maximum356411.62
Range30474.049
Interquartile range (IQR)6068.785

Descriptive statistics

Standard deviation5243.2034
Coefficient of variation (CV)0.015280365
Kurtosis0.98839104
Mean343133.39
Median Absolute Deviation (MAD)2814.9172
Skewness-0.49270456
Sum63822811
Variance27491182
MonotonicityNot monotonic
2024-04-21T07:45:36.345690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341130.695482 4
 
2.1%
344940.956105 3
 
1.6%
334621.225167 3
 
1.6%
334186.944258 2
 
1.1%
345893.033679 2
 
1.1%
348142.29395 2
 
1.1%
340157.902476 2
 
1.1%
332176.052745 2
 
1.1%
343716.960047 2
 
1.1%
347816.635606 2
 
1.1%
Other values (159) 162
85.3%
(Missing) 4
 
2.1%
ValueCountFrequency (%)
325937.566452 1
0.5%
328117.182705 1
0.5%
328311.080892 1
0.5%
329002.862036 1
0.5%
332163.069053 1
0.5%
332176.052745 2
1.1%
332208.09902 1
0.5%
332237.177954 1
0.5%
333532.782282 1
0.5%
333862.343439 1
0.5%
ValueCountFrequency (%)
356411.615245 1
0.5%
356267.166058 1
0.5%
355709.189343 1
0.5%
354108.292989 1
0.5%
354079.749787 1
0.5%
353989.543422 1
0.5%
352849.678342 1
0.5%
352491.498028 1
0.5%
351211.131308 1
0.5%
351123.617757 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct169
Distinct (%)90.9%
Missing4
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean264024.31
Minimum252522.67
Maximum277749.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T07:45:36.603905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum252522.67
5-th percentile259720.77
Q1261861.56
median263802.31
Q3265302.25
95-th percentile270739.82
Maximum277749.02
Range25226.354
Interquartile range (IQR)3440.6833

Descriptive statistics

Standard deviation3548.8461
Coefficient of variation (CV)0.013441361
Kurtosis2.1007848
Mean264024.31
Median Absolute Deviation (MAD)1757.976
Skewness0.65136772
Sum49108522
Variance12594309
MonotonicityNot monotonic
2024-04-21T07:45:36.855237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264088.775394 4
 
2.1%
263802.308312 3
 
1.6%
262044.332358 3
 
1.6%
262207.048486 2
 
1.1%
258439.272892 2
 
1.1%
266437.457225 2
 
1.1%
259720.769929 2
 
1.1%
263770.873143 2
 
1.1%
261711.25554 2
 
1.1%
270038.36677 2
 
1.1%
Other values (159) 162
85.3%
(Missing) 4
 
2.1%
ValueCountFrequency (%)
252522.670293 1
0.5%
252890.333819 1
0.5%
257286.897263 1
0.5%
257494.679484 1
0.5%
258320.666927 1
0.5%
258439.272892 2
1.1%
258474.16592 1
0.5%
259549.229338 1
0.5%
259720.769929 2
1.1%
259810.62829 1
0.5%
ValueCountFrequency (%)
277749.024029 1
0.5%
273994.885719 1
0.5%
273737.60685 1
0.5%
273554.526036 1
0.5%
272619.438482 1
0.5%
272277.564167 1
0.5%
271941.364327 1
0.5%
271813.615309 1
0.5%
271304.871491 1
0.5%
270821.554885 1
0.5%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
건강기능식품유통전문판매업
190 

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 190
100.0%

Length

2024-04-21T07:45:37.080833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:45:37.249838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 190
100.0%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
187 
0
 
3

Length

Max length4
Median length4
Mean length3.9526316
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 187
98.4%
0 3
 
1.6%

Length

2024-04-21T07:45:37.437951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:45:37.624674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 187
98.4%
0 3
 
1.6%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
187 
0
 
3

Length

Max length4
Median length4
Mean length3.9526316
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 187
98.4%
0 3
 
1.6%

Length

2024-04-21T07:45:37.820569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:45:38.018362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 187
98.4%
0 3
 
1.6%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

급수시설구분명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
159 
상수도전용
31 

Length

Max length5
Median length4
Mean length4.1631579
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> 159
83.7%
상수도전용 31
 
16.3%

Length

2024-04-21T07:45:38.202952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:45:38.380744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 159
83.7%
상수도전용 31
 
16.3%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

본사종업원수
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
124 
<NA>
65 
3
 
1

Length

Max length4
Median length1
Mean length2.0263158
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 124
65.3%
<NA> 65
34.2%
3 1
 
0.5%

Length

2024-04-21T07:45:38.575943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:45:38.763853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 124
65.3%
na 65
34.2%
3 1
 
0.5%

공장사무직종업원수
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
118 
<NA>
65 
1
 
5
2
 
2

Length

Max length4
Median length1
Mean length2.0263158
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 118
62.1%
<NA> 65
34.2%
1 5
 
2.6%
2 2
 
1.1%

Length

2024-04-21T07:45:38.961792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:45:39.159945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 118
62.1%
na 65
34.2%
1 5
 
2.6%
2 2
 
1.1%

공장판매직종업원수
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
117 
<NA>
65 
1
 
6
2
 
2

Length

Max length4
Median length1
Mean length2.0263158
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 117
61.6%
<NA> 65
34.2%
1 6
 
3.2%
2 2
 
1.1%

Length

2024-04-21T07:45:39.364394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:45:39.555486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 117
61.6%
na 65
34.2%
1 6
 
3.2%
2 2
 
1.1%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
125 
<NA>
65 

Length

Max length4
Median length1
Mean length2.0263158
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 125
65.8%
<NA> 65
34.2%

Length

2024-04-21T07:45:39.759423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:45:39.942252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 125
65.8%
na 65
34.2%

건물소유구분명
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
149 
임대
25 
자가
16 

Length

Max length4
Median length4
Mean length3.5684211
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> 149
78.4%
임대 25
 
13.2%
자가 16
 
8.4%

Length

2024-04-21T07:45:40.150938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:45:40.367061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 149
78.4%
임대 25
 
13.2%
자가 16
 
8.4%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
187 
0
 
3

Length

Max length4
Median length4
Mean length3.9526316
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 187
98.4%
0 3
 
1.6%

Length

2024-04-21T07:45:40.584085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:45:40.768770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 187
98.4%
0 3
 
1.6%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
187 
0
 
3

Length

Max length4
Median length4
Mean length3.9526316
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 187
98.4%
0 3
 
1.6%

Length

2024-04-21T07:45:40.961285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T07:45:41.149367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 187
98.4%
0 3
 
1.6%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size318.0 B
False
190 
ValueCountFrequency (%)
False 190
100.0%
2024-04-21T07:45:41.295281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6313684
Minimum0
Maximum377.92
Zeros183
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-21T07:45:41.437616image/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 deviation28.059594
Coefficient of variation (CV)10.663499
Kurtosis172.08834
Mean2.6313684
Median Absolute Deviation (MAD)0
Skewness12.918968
Sum499.96
Variance787.34079
MonotonicityNot monotonic
2024-04-21T07:45:41.628108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 183
96.3%
377.92 1
 
0.5%
83.04 1
 
0.5%
9.1 1
 
0.5%
10.5 1
 
0.5%
2.4 1
 
0.5%
14.0 1
 
0.5%
3.0 1
 
0.5%
ValueCountFrequency (%)
0.0 183
96.3%
2.4 1
 
0.5%
3.0 1
 
0.5%
9.1 1
 
0.5%
10.5 1
 
0.5%
14.0 1
 
0.5%
83.04 1
 
0.5%
377.92 1
 
0.5%
ValueCountFrequency (%)
377.92 1
 
0.5%
83.04 1
 
0.5%
14.0 1
 
0.5%
10.5 1
 
0.5%
9.1 1
 
0.5%
3.0 1
 
0.5%
2.4 1
 
0.5%
0.0 183
96.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing190
Missing (%)100.0%
Memory size1.8 KiB

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01건강기능식품유통전문판매업07_22_02_P34100003410000-135-2016-0000220160622<NA>3폐업2폐업20160811<NA><NA><NA><NA><NA>700160대구광역시 중구 문화동 0006-0002번지 지상3층대구광역시 중구 경상감영길 184 (문화동, 지상3층)41913주식회사월드라인20160622142307I2018-08-31 23:59:59.0건강기능식품유통전문판매업344183.454943264697.355897건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
12건강기능식품유통전문판매업07_22_02_P34100003410000-135-2019-0000420190619<NA>1영업/정상1영업<NA><NA><NA><NA><NA>31.4700832대구광역시 중구 남산동 0927-0009번지 메디스퀘어 903호대구광역시 중구 달구벌대로 2094, 메디스퀘어 903호 (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>
23건강기능식품유통전문판매업07_22_02_P34100003410000-135-2014-0000320141231<NA>3폐업2폐업20200331<NA><NA><NA>053420 749321.84700718대구광역시 중구 대봉동 0214번지 대백프라자 지상4층대구광역시 중구 명덕로 333, 대백프라자 지상4층 (대봉동)41953(주) 가인누리20200401104357U2020-04-03 02:40:00.0건강기능식품유통전문판매업345032.238221262949.871621건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
34건강기능식품유통전문판매업07_22_02_P34100003410000-135-2014-0000220141002<NA>3폐업2폐업20150121<NA><NA><NA>1670434523.56700840대구광역시 중구 달성동 0145-0007번지 지상3층대구광역시 중구 태평로 13 (달성동, 지상3층)41900세종라이프20141002130905I2018-08-31 23:59:59.0건강기능식품유통전문판매업342566.486427265380.887132건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
45건강기능식품유통전문판매업07_22_02_P34100003410000-135-2014-0000120140723<NA>3폐업2폐업20181004<NA><NA><NA>053 4297172151.47700412대구광역시 중구 삼덕동2가 0210-0001번지 지상12층 1203호대구광역시 중구 동덕로 115 (삼덕동2가, 지상12층 1203호)41940(주)채이은20181004154032U2018-10-06 02:36:52.0건강기능식품유통전문판매업344686.259338263958.880864건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
56건강기능식품유통전문판매업07_22_02_P34100003410000-135-2013-0000320130708<NA>3폐업2폐업20171214<NA><NA><NA>07075389220133.56700111대구광역시 중구 태평로1가 0001-0187번지 태평라이프상가 지상2층 217호, 219호대구광역시 중구 태평로 177 (태평로1가, 태평라이프상가 지상2층 217호, 219호)41903글로벌 그린20171214120223I2018-08-31 23:59:59.0건강기능식품유통전문판매업344204.522469265028.313376건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
67건강기능식품유통전문판매업07_22_02_P34100003410000-135-2013-0000220130624<NA>3폐업2폐업20150916<NA><NA><NA>053 424810441.06700823대구광역시 중구 봉산동 0165-0007번지 지상4층대구광역시 중구 달구벌대로 2156 (봉산동, 지상4층)41959주식회사 데시엘20130709113940I2018-08-31 23:59:59.0건강기능식품유통전문판매업344341.820223263777.999999건강기능식품유통전문판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
78건강기능식품유통전문판매업07_22_02_P34100003410000-135-2013-0000420130328<NA>3폐업2폐업20171208<NA><NA><NA>07075701074<NA>700413대구광역시 중구 삼덕동3가 0341-0002번지 지상1층대구광역시 중구 달구벌대로443길 16-5 (삼덕동3가, 지상1층)41948헬스마트20171208102912I2018-08-31 23:59:59.0건강기능식품유통전문판매업344940.956105263802.308312건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
89건강기능식품유통전문판매업07_22_02_P34100003410000-135-2013-0000120130328<NA>3폐업2폐업20150901<NA><NA><NA>07075701074<NA>700413대구광역시 중구 삼덕동3가 0341-0002번지 지상1층대구광역시 중구 달구벌대로443길 16-5 (삼덕동3가, 지상1층)41948헬스마트20130328150015I2018-08-31 23:59:59.0건강기능식품유통전문판매업344940.956105263802.308312건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
910건강기능식품유통전문판매업07_22_02_P34100003410000-135-2012-0000120120921<NA>3폐업2폐업20131220<NA><NA><NA>053 2552866<NA>700816대구광역시 중구 대신동 0259-0005번지 지상8층대구광역시 중구 달성로 37 (대신동, 지상8층)41927케이앤케이20121226114045I2018-08-31 23:59:59.0건강기능식품유통전문판매업342795.702037264290.451468건강기능식품유통전문판매업<NA><NA><NA><NA>상수도전용<NA>0110임대<NA><NA>N0.0<NA><NA><NA>
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
180181건강기능식품유통전문판매업07_22_02_P34800003480000-135-2015-0000120151109<NA>3폐업2폐업20190522<NA><NA><NA><NA>42.69711812대구광역시 달성군 다사읍 매곡리 315번지 409호대구광역시 달성군 다사읍 왕선로 59, 4층 409호42910에이치앤비홀딩스20190522132605U2019-05-24 02:40:00.0건강기능식품유통전문판매업332176.052745263770.873143건강기능식품유통전문판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
181182건강기능식품유통전문판매업07_22_02_P34800003480000-135-2012-0000120120220<NA>3폐업2폐업20130816<NA><NA><NA>053 522310241.69711856대구광역시 달성군 논공읍 노이리 1203-3번지대구광역시 달성군 논공읍 노이1길 4342975프로매스20120308215946I2018-08-31 23:59:59.0건강기능식품유통전문판매업329002.862036252522.670293건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
182183건강기능식품유통전문판매업07_22_02_P34800003480000-135-2007-0000120070110<NA>3폐업2폐업20140429<NA><NA><NA>053 324 98240.0711814대구광역시 달성군 다사읍 세천리 1662-10번지대구광역시 달성군 다사읍 세천로1길 119, 가동 2층42921에인에이(주)20140415164845I2018-08-31 23:59:59.0건강기능식품유통전문판매업332163.069053265348.507187건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000임대00N0.0<NA><NA><NA>
183184건강기능식품유통전문판매업07_22_02_P34800003480000-135-2016-0000120160414<NA>3폐업2폐업20191119<NA><NA><NA><NA>27.0711812대구광역시 달성군 다사읍 매곡리 1546-8번지대구광역시 달성군 다사읍 달구벌대로 863, 3층 303호42914모니카헬스케어20191119142830U2019-11-21 02:40:00.0건강기능식품유통전문판매업332237.177954263095.169477건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
184185건강기능식품유통전문판매업07_22_02_P34800003480000-135-2020-0000120200113<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>711821대구광역시 달성군 하빈면 동곡리 128-6번지 1층대구광역시 달성군 하빈면 달구벌대로55길 86, 1층42903에버헬스20200113162055I2020-01-15 00:23:25.0건강기능식품유통전문판매업328117.182705265170.995751건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
185186건강기능식품유통전문판매업07_22_02_P34800003480000-135-2016-0000220160622<NA>1영업/정상1영업<NA><NA><NA><NA>053 248 186015.0711814대구광역시 달성군 다사읍 세천리 1561-2번지대구광역시 달성군 다사읍 세천북로8길 18-2, 1층42922평산네이처20160622143045I2018-08-31 23:59:59.0건강기능식품유통전문판매업333532.782282265310.700363건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
186187건강기능식품유통전문판매업07_22_02_P34800003480000-135-2020-0000320200914<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>711815대구광역시 달성군 다사읍 죽곡리 811-8 2층대구광역시 달성군 다사읍 대실역남로 22, 2층42918온유20200914115821I2020-09-16 00:23:12.0건강기능식품유통전문판매업332208.09902262736.994473건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
187188건강기능식품유통전문판매업07_22_02_P34800003480000-135-2020-0000220200702<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>711823대구광역시 달성군 하빈면 봉촌리 1011-10 1층대구광역시 달성군 하빈면 하빈남로 496, 1층42905씨케이물산(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>
188189건강기능식품유통전문판매업07_22_02_P34800003480000-135-2017-0000120171116<NA>1영업/정상1영업<NA><NA><NA><NA>053 751 2225493.0711851대구광역시 달성군 논공읍 금포리 1877번지대구광역시 달성군 논공읍 비슬로350길 65-842975(주)한솔디바인연구소20191205102245U2019-12-08 02:40:00.0건강기능식품유통전문판매업328311.080892252890.333819건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
189190건강기능식품유통전문판매업07_22_02_P34800003480000-135-2015-0000220151109<NA>3폐업2폐업20190523<NA><NA><NA><NA>42.69711812대구광역시 달성군 다사읍 매곡리 315번지 409호대구광역시 달성군 다사읍 왕선로 59, 4층 409호42910에이치앤비홀딩스20190523103104I2019-05-25 02:20:54.0건강기능식품유통전문판매업332176.052745263770.873143건강기능식품유통전문판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>