Overview

Dataset statistics

Number of variables47
Number of observations267
Missing cells2754
Missing cells (%)21.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory105.2 KiB
Average record size in memory403.5 B

Variable types

Numeric7
Categorical20
Text6
DateTime4
Unsupported9
Boolean1

Dataset

Description23년05월_6270000_대구광역시_07_22_02_P_건강기능식품유통전문판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098194&dataSetDetailId=DDI_0000098226&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
공장판매직직원수 is highly imbalanced (50.6%)Imbalance
인허가취소일자 has 267 (100.0%) missing valuesMissing
폐업일자 has 116 (43.4%) missing valuesMissing
휴업시작일자 has 267 (100.0%) missing valuesMissing
휴업종료일자 has 267 (100.0%) missing valuesMissing
재개업일자 has 267 (100.0%) missing valuesMissing
소재지전화 has 135 (50.6%) missing valuesMissing
소재지면적 has 61 (22.8%) missing valuesMissing
도로명전체주소 has 14 (5.2%) missing valuesMissing
도로명우편번호 has 14 (5.2%) missing valuesMissing
좌표정보(X) has 5 (1.9%) missing valuesMissing
좌표정보(Y) has 5 (1.9%) missing valuesMissing
영업장주변구분명 has 267 (100.0%) missing valuesMissing
등급구분명 has 267 (100.0%) missing valuesMissing
전통업소지정번호 has 267 (100.0%) missing valuesMissing
전통업소주된음식 has 267 (100.0%) missing valuesMissing
홈페이지 has 267 (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 18 (6.7%) zerosZeros
시설총규모 has 253 (94.8%) zerosZeros

Reproduction

Analysis started2024-04-17 22:34:10.120675
Analysis finished2024-04-17 22:34:11.000034
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct267
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134
Minimum1
Maximum267
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-18T07:34:11.089610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.3
Q167.5
median134
Q3200.5
95-th percentile253.7
Maximum267
Range266
Interquartile range (IQR)133

Descriptive statistics

Standard deviation77.220464
Coefficient of variation (CV)0.57627212
Kurtosis-1.2
Mean134
Median Absolute Deviation (MAD)67
Skewness0
Sum35778
Variance5963
MonotonicityStrictly increasing
2024-04-18T07:34:11.304961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
185 1
 
0.4%
171 1
 
0.4%
172 1
 
0.4%
173 1
 
0.4%
174 1
 
0.4%
175 1
 
0.4%
176 1
 
0.4%
177 1
 
0.4%
178 1
 
0.4%
Other values (257) 257
96.3%
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 (%)
267 1
0.4%
266 1
0.4%
265 1
0.4%
264 1
0.4%
263 1
0.4%
262 1
0.4%
261 1
0.4%
260 1
0.4%
259 1
0.4%
258 1
0.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
건강기능식품유통전문판매업
267 

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 267
100.0%

Length

2024-04-18T07:34:11.488237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:11.646208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 267
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
07_22_02_P
267 

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 267
100.0%

Length

2024-04-18T07:34:11.789332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:11.906888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_02_p 267
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3444981.3
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-18T07:34:12.022460image/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 deviation22650.906
Coefficient of variation (CV)0.0065750448
Kurtosis-1.3593295
Mean3444981.3
Median Absolute Deviation (MAD)20000
Skewness-0.18234522
Sum9.1981 × 108
Variance5.1306356 × 108
MonotonicityIncreasing
2024-04-18T07:34:12.187154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3460000 55
20.6%
3420000 49
18.4%
3470000 43
16.1%
3450000 34
12.7%
3410000 32
12.0%
3430000 18
 
6.7%
3440000 18
 
6.7%
3480000 18
 
6.7%
ValueCountFrequency (%)
3410000 32
12.0%
3420000 49
18.4%
3430000 18
 
6.7%
3440000 18
 
6.7%
3450000 34
12.7%
3460000 55
20.6%
3470000 43
16.1%
3480000 18
 
6.7%
ValueCountFrequency (%)
3480000 18
 
6.7%
3470000 43
16.1%
3460000 55
20.6%
3450000 34
12.7%
3440000 18
 
6.7%
3430000 18
 
6.7%
3420000 49
18.4%
3410000 32
12.0%

관리번호
Text

UNIQUE 

Distinct267
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-18T07:34:12.371608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters5874
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

Unique267 ?
Unique (%)100.0%

Sample

1st row3410000-135-2019-00005
2nd row3410000-135-2017-00001
3rd row3410000-135-2023-00002
4th row3410000-135-2022-00003
5th row3410000-135-2023-00003
ValueCountFrequency (%)
3410000-135-2019-00005 1
 
0.4%
3460000-135-2015-00002 1
 
0.4%
3460000-135-2004-00001 1
 
0.4%
3460000-135-2021-00004 1
 
0.4%
3460000-135-2021-00005 1
 
0.4%
3460000-135-2021-00003 1
 
0.4%
3460000-135-2020-00006 1
 
0.4%
3460000-135-2022-00006 1
 
0.4%
3460000-135-2014-00004 1
 
0.4%
3460000-135-2022-00005 1
 
0.4%
Other values (257) 257
96.3%
2024-04-18T07:34:12.823260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2459
41.9%
- 801
 
13.6%
3 613
 
10.4%
1 591
 
10.1%
2 505
 
8.6%
5 340
 
5.8%
4 335
 
5.7%
6 86
 
1.5%
7 64
 
1.1%
9 40
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5073
86.4%
Dash Punctuation 801
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2459
48.5%
3 613
 
12.1%
1 591
 
11.6%
2 505
 
10.0%
5 340
 
6.7%
4 335
 
6.6%
6 86
 
1.7%
7 64
 
1.3%
9 40
 
0.8%
8 40
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 801
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5874
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2459
41.9%
- 801
 
13.6%
3 613
 
10.4%
1 591
 
10.1%
2 505
 
8.6%
5 340
 
5.8%
4 335
 
5.7%
6 86
 
1.5%
7 64
 
1.1%
9 40
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5874
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2459
41.9%
- 801
 
13.6%
3 613
 
10.4%
1 591
 
10.1%
2 505
 
8.6%
5 340
 
5.8%
4 335
 
5.7%
6 86
 
1.5%
7 64
 
1.1%
9 40
 
0.7%

인허가일자
Date

Distinct215
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2004-06-10 00:00:00
Maximum2023-05-08 00:00:00
2024-04-18T07:34:13.041094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:34:13.234541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing267
Missing (%)100.0%
Memory size2.5 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
3
151 
1
116 

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 (%)
3 151
56.6%
1 116
43.4%

Length

2024-04-18T07:34:13.422322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:13.529071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 151
56.6%
1 116
43.4%

영업상태명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
폐업
151 
영업/정상
116 

Length

Max length5
Median length2
Mean length3.3033708
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 151
56.6%
영업/정상 116
43.4%

Length

2024-04-18T07:34:14.154616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:14.281819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 151
56.6%
영업/정상 116
43.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2
151 
1
116 

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 (%)
2 151
56.6%
1 116
43.4%

Length

2024-04-18T07:34:14.419686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:14.550371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 151
56.6%
1 116
43.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
폐업
151 
영업
116 

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 151
56.6%
영업 116
43.4%

Length

2024-04-18T07:34:14.671120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:14.779381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 151
56.6%
영업 116
43.4%

폐업일자
Date

MISSING 

Distinct141
Distinct (%)93.4%
Missing116
Missing (%)43.4%
Memory size2.2 KiB
Minimum2005-12-13 00:00:00
Maximum2023-05-10 00:00:00
2024-04-18T07:34:14.930716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:34:15.084455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing267
Missing (%)100.0%
Memory size2.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing267
Missing (%)100.0%
Memory size2.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing267
Missing (%)100.0%
Memory size2.5 KiB

소재지전화
Text

MISSING 

Distinct109
Distinct (%)82.6%
Missing135
Missing (%)50.6%
Memory size2.2 KiB
2024-04-18T07:34:15.442500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.371212
Min length7

Characters and Unicode

Total characters1501
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 (%)70.5%

Sample

1st row0314220896
2nd row050 55559690
3rd row053 4236023
4th row0532170705
5th row05052554545
ValueCountFrequency (%)
053 92
30.0%
070 10
 
3.3%
3341 4
 
1.3%
324 4
 
1.3%
985 4
 
1.3%
755 4
 
1.3%
719 3
 
1.0%
5550101 3
 
1.0%
07075701074 3
 
1.0%
2926389 3
 
1.0%
Other values (155) 177
57.7%
2024-04-18T07:34:15.913243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 254
16.9%
5 238
15.9%
3 183
12.2%
176
11.7%
7 122
8.1%
2 111
7.4%
1 89
 
5.9%
8 88
 
5.9%
9 84
 
5.6%
4 80
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1325
88.3%
Space Separator 176
 
11.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 254
19.2%
5 238
18.0%
3 183
13.8%
7 122
9.2%
2 111
8.4%
1 89
 
6.7%
8 88
 
6.6%
9 84
 
6.3%
4 80
 
6.0%
6 76
 
5.7%
Space Separator
ValueCountFrequency (%)
176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1501
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 254
16.9%
5 238
15.9%
3 183
12.2%
176
11.7%
7 122
8.1%
2 111
7.4%
1 89
 
5.9%
8 88
 
5.9%
9 84
 
5.6%
4 80
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1501
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 254
16.9%
5 238
15.9%
3 183
12.2%
176
11.7%
7 122
8.1%
2 111
7.4%
1 89
 
5.9%
8 88
 
5.9%
9 84
 
5.6%
4 80
 
5.3%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct155
Distinct (%)75.2%
Missing61
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean65.70466
Minimum0
Maximum493
Zeros18
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-18T07:34:16.107839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.4
median38.815
Q386.16
95-th percentile214.7475
Maximum493
Range493
Interquartile range (IQR)69.76

Descriptive statistics

Standard deviation76.971945
Coefficient of variation (CV)1.1714838
Kurtosis7.6284076
Mean65.70466
Median Absolute Deviation (MAD)28.815
Skewness2.4197025
Sum13535.16
Variance5924.6803
MonotonicityNot monotonic
2024-04-18T07:34:16.256625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 18
 
6.7%
15.0 5
 
1.9%
16.5 4
 
1.5%
33.0 4
 
1.5%
66.0 3
 
1.1%
76.0 3
 
1.1%
10.0 3
 
1.1%
35.0 3
 
1.1%
70.71 3
 
1.1%
150.0 2
 
0.7%
Other values (145) 158
59.2%
(Missing) 61
 
22.8%
ValueCountFrequency (%)
0.0 18
6.7%
1.0 1
 
0.4%
2.0 1
 
0.4%
3.0 2
 
0.7%
3.7 1
 
0.4%
4.0 2
 
0.7%
4.3 1
 
0.4%
4.6 1
 
0.4%
6.0 1
 
0.4%
6.3 2
 
0.7%
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
0.7%
226.0 1
0.4%
215.72 1
0.4%

소재지우편번호
Text

Distinct165
Distinct (%)62.0%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2024-04-18T07:34:16.602852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters1862
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

Unique105 ?
Unique (%)39.5%

Sample

1st row700-823
2nd row700-412
3rd row700-804
4th row700-180
5th row700-845
ValueCountFrequency (%)
700-823 5
 
1.9%
704-919 5
 
1.9%
701-170 5
 
1.9%
700-413 5
 
1.9%
703-846 5
 
1.9%
711-814 4
 
1.5%
711-812 4
 
1.5%
702-894 4
 
1.5%
706-800 4
 
1.5%
701-260 4
 
1.5%
Other values (155) 221
83.1%
2024-04-18T07:34:17.044132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 393
21.1%
7 295
15.8%
- 266
14.3%
8 219
11.8%
1 175
9.4%
4 118
 
6.3%
2 115
 
6.2%
6 94
 
5.0%
3 90
 
4.8%
5 55
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1596
85.7%
Dash Punctuation 266
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 393
24.6%
7 295
18.5%
8 219
13.7%
1 175
11.0%
4 118
 
7.4%
2 115
 
7.2%
6 94
 
5.9%
3 90
 
5.6%
5 55
 
3.4%
9 42
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 266
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1862
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 393
21.1%
7 295
15.8%
- 266
14.3%
8 219
11.8%
1 175
9.4%
4 118
 
6.3%
2 115
 
6.2%
6 94
 
5.0%
3 90
 
4.8%
5 55
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1862
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 393
21.1%
7 295
15.8%
- 266
14.3%
8 219
11.8%
1 175
9.4%
4 118
 
6.3%
2 115
 
6.2%
6 94
 
5.0%
3 90
 
4.8%
5 55
 
3.0%

소재지전체주소
Text

Distinct227
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-18T07:34:17.392475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length25.41573
Min length17

Characters and Unicode

Total characters6786
Distinct characters224
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

Unique195 ?
Unique (%)73.0%

Sample

1st row대구광역시 중구 봉산동 ****-****번지 업무시설
2nd row대구광역시 중구 삼덕동*가 ****-**** 미르치과병원 **층
3rd row대구광역시 중구 남산동 ****-**** 로하스남산 ***호
4th row대구광역시 중구 동문동 ****-**** *층
5th row대구광역시 중구 동인동*가 ****-**** *층
ValueCountFrequency (%)
대구광역시 266
20.7%
140
 
10.9%
번지 128
 
9.9%
수성구 54
 
4.2%
동구 49
 
3.8%
층 48
 
3.7%
달서구 41
 
3.2%
북구 34
 
2.6%
중구 33
 
2.6%
호 30
 
2.3%
Other values (187) 464
36.1%
2024-04-18T07:34:17.912012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1513
22.3%
1268
18.7%
구 532
 
7.8%
동 318
 
4.7%
대 306
 
4.5%
시 272
 
4.0%
역 267
 
3.9%
광 266
 
3.9%
- 230
 
3.4%
지 169
 
2.5%
Other values (214) 1645
24.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3717
54.8%
Other Punctuation 1525
22.5%
Space Separator 1268
 
18.7%
Dash Punctuation 230
 
3.4%
Uppercase Letter 15
 
0.2%
Open Punctuation 13
 
0.2%
Close Punctuation 13
 
0.2%
Lowercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 532
14.3%
동 318
 
8.6%
대 306
 
8.2%
시 272
 
7.3%
역 267
 
7.2%
광 266
 
7.2%
지 169
 
4.5%
번 128
 
3.4%
성 95
 
2.6%
층 76
 
2.0%
Other values (194) 1288
34.7%
Uppercase Letter
ValueCountFrequency (%)
S 4
26.7%
K 3
20.0%
B 2
13.3%
D 2
13.3%
J 1
 
6.7%
P 1
 
6.7%
T 1
 
6.7%
R 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 1513
99.2%
, 10
 
0.7%
& 1
 
0.1%
/ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
x 1
20.0%
u 1
20.0%
l 1
20.0%
Space Separator
ValueCountFrequency (%)
1268
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 230
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3717
54.8%
Common 3049
44.9%
Latin 20
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 532
14.3%
동 318
 
8.6%
대 306
 
8.2%
시 272
 
7.3%
역 267
 
7.2%
광 266
 
7.2%
지 169
 
4.5%
번 128
 
3.4%
성 95
 
2.6%
층 76
 
2.0%
Other values (194) 1288
34.7%
Latin
ValueCountFrequency (%)
S 4
20.0%
K 3
15.0%
B 2
10.0%
e 2
10.0%
D 2
10.0%
J 1
 
5.0%
P 1
 
5.0%
T 1
 
5.0%
R 1
 
5.0%
x 1
 
5.0%
Other values (2) 2
10.0%
Common
ValueCountFrequency (%)
* 1513
49.6%
1268
41.6%
- 230
 
7.5%
( 13
 
0.4%
) 13
 
0.4%
, 10
 
0.3%
& 1
 
< 0.1%
/ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3717
54.8%
ASCII 3069
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1513
49.3%
1268
41.3%
- 230
 
7.5%
( 13
 
0.4%
) 13
 
0.4%
, 10
 
0.3%
S 4
 
0.1%
K 3
 
0.1%
B 2
 
0.1%
e 2
 
0.1%
Other values (10) 11
 
0.4%
Hangul
ValueCountFrequency (%)
구 532
14.3%
동 318
 
8.6%
대 306
 
8.2%
시 272
 
7.3%
역 267
 
7.2%
광 266
 
7.2%
지 169
 
4.5%
번 128
 
3.4%
성 95
 
2.6%
층 76
 
2.0%
Other values (194) 1288
34.7%

도로명전체주소
Text

MISSING 

Distinct227
Distinct (%)89.7%
Missing14
Missing (%)5.2%
Memory size2.2 KiB
2024-04-18T07:34:18.234039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length51
Mean length31.094862
Min length21

Characters and Unicode

Total characters7867
Distinct characters246
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

Unique207 ?
Unique (%)81.8%

Sample

1st row대구광역시 중구 달구벌대로 ****, SH타워 *층 (봉산동)
2nd row대구광역시 중구 공평로 ** (삼덕동*가, 미르치과병원 **층)
3rd row대구광역시 중구 남산로*안길 **, ***호 (남산동, 로하스남산)
4th row대구광역시 중구 경상감영길 ***-*, *층 (동문동)
5th row대구광역시 중구 동덕로**길 **-*, *층 (동인동*가)
ValueCountFrequency (%)
대구광역시 253
 
15.7%
253
 
15.7%
층 168
 
10.4%
호 56
 
3.5%
수성구 52
 
3.2%
동구 46
 
2.9%
달서구 39
 
2.4%
북구 33
 
2.1%
중구 31
 
1.9%
달성군 18
 
1.1%
Other values (303) 659
41.0%
2024-04-18T07:34:18.695969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1355
17.2%
* 1293
16.4%
구 545
 
6.9%
동 345
 
4.4%
대 344
 
4.4%
시 259
 
3.3%
역 255
 
3.2%
광 253
 
3.2%
로 251
 
3.2%
, 246
 
3.1%
Other values (236) 2721
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4403
56.0%
Other Punctuation 1540
 
19.6%
Space Separator 1355
 
17.2%
Close Punctuation 245
 
3.1%
Open Punctuation 245
 
3.1%
Dash Punctuation 54
 
0.7%
Uppercase Letter 19
 
0.2%
Lowercase Letter 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 545
 
12.4%
동 345
 
7.8%
대 344
 
7.8%
시 259
 
5.9%
역 255
 
5.8%
광 253
 
5.7%
로 251
 
5.7%
층 200
 
4.5%
성 114
 
2.6%
길 97
 
2.2%
Other values (214) 1740
39.5%
Uppercase Letter
ValueCountFrequency (%)
S 5
26.3%
K 3
15.8%
A 2
 
10.5%
B 2
 
10.5%
D 2
 
10.5%
T 1
 
5.3%
R 1
 
5.3%
P 1
 
5.3%
H 1
 
5.3%
J 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
x 1
20.0%
u 1
20.0%
l 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 1293
84.0%
, 246
 
16.0%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1355
100.0%
Close Punctuation
ValueCountFrequency (%)
) 245
100.0%
Open Punctuation
ValueCountFrequency (%)
( 245
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4403
56.0%
Common 3440
43.7%
Latin 24
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 545
 
12.4%
동 345
 
7.8%
대 344
 
7.8%
시 259
 
5.9%
역 255
 
5.8%
광 253
 
5.7%
로 251
 
5.7%
층 200
 
4.5%
성 114
 
2.6%
길 97
 
2.2%
Other values (214) 1740
39.5%
Latin
ValueCountFrequency (%)
S 5
20.8%
K 3
12.5%
A 2
 
8.3%
B 2
 
8.3%
D 2
 
8.3%
e 2
 
8.3%
T 1
 
4.2%
R 1
 
4.2%
P 1
 
4.2%
H 1
 
4.2%
Other values (4) 4
16.7%
Common
ValueCountFrequency (%)
1355
39.4%
* 1293
37.6%
, 246
 
7.2%
) 245
 
7.1%
( 245
 
7.1%
- 54
 
1.6%
& 1
 
< 0.1%
~ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4403
56.0%
ASCII 3464
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1355
39.1%
* 1293
37.3%
, 246
 
7.1%
) 245
 
7.1%
( 245
 
7.1%
- 54
 
1.6%
S 5
 
0.1%
K 3
 
0.1%
A 2
 
0.1%
B 2
 
0.1%
Other values (12) 14
 
0.4%
Hangul
ValueCountFrequency (%)
구 545
 
12.4%
동 345
 
7.8%
대 344
 
7.8%
시 259
 
5.9%
역 255
 
5.8%
광 253
 
5.7%
로 251
 
5.7%
층 200
 
4.5%
성 114
 
2.6%
길 97
 
2.2%
Other values (214) 1740
39.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct187
Distinct (%)73.9%
Missing14
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean41990.02
Minimum41000
Maximum43008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-18T07:34:18.850228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41060.2
Q141505
median41975
Q342465
95-th percentile42911.6
Maximum43008
Range2008
Interquartile range (IQR)960

Descriptive statistics

Standard deviation581.65423
Coefficient of variation (CV)0.013852202
Kurtosis-1.0531484
Mean41990.02
Median Absolute Deviation (MAD)490
Skewness-0.039393099
Sum10623475
Variance338321.65
MonotonicityNot monotonic
2024-04-18T07:34:18.993954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41832 4
 
1.5%
42709 4
 
1.5%
42140 4
 
1.5%
41475 4
 
1.5%
41028 4
 
1.5%
42910 3
 
1.1%
41809 3
 
1.1%
42160 3
 
1.1%
41223 3
 
1.1%
41059 3
 
1.1%
Other values (177) 218
81.6%
(Missing) 14
 
5.2%
ValueCountFrequency (%)
41000 2
0.7%
41026 1
 
0.4%
41028 4
1.5%
41033 1
 
0.4%
41035 1
 
0.4%
41040 1
 
0.4%
41059 3
1.1%
41061 2
0.7%
41065 2
0.7%
41068 1
 
0.4%
ValueCountFrequency (%)
43008 1
 
0.4%
42995 1
 
0.4%
42975 3
1.1%
42974 1
 
0.4%
42922 3
1.1%
42921 1
 
0.4%
42918 2
0.7%
42914 1
 
0.4%
42910 3
1.1%
42905 1
 
0.4%

사업장명
Text

Distinct224
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-18T07:34:19.241201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length7.2771536
Min length2

Characters and Unicode

Total characters1943
Distinct characters299
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

Unique192 ?
Unique (%)71.9%

Sample

1st row(주)피토스
2nd row(주)엠지뉴턴
3rd row주식회사 라이프앤휴먼킹
4th row오드니스
5th row주식회사 글로리바이오파마
ValueCountFrequency (%)
주식회사 29
 
9.2%
주식회사월드라인 5
 
1.6%
주)쓰리에이치 4
 
1.3%
주 4
 
1.3%
오롯이 4
 
1.3%
에이팜 4
 
1.3%
헬스마트 3
 
0.9%
안상규벌꿀 3
 
0.9%
에인에이(주 3
 
0.9%
f&d 3
 
0.9%
Other values (222) 254
80.4%
2024-04-18T07:34:19.595691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 134
 
6.9%
이 110
 
5.7%
( 89
 
4.6%
) 89
 
4.6%
사 71
 
3.7%
회 63
 
3.2%
식 62
 
3.2%
리 53
 
2.7%
스 49
 
2.5%
49
 
2.5%
Other values (289) 1174
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1623
83.5%
Open Punctuation 89
 
4.6%
Close Punctuation 89
 
4.6%
Space Separator 49
 
2.5%
Uppercase Letter 48
 
2.5%
Lowercase Letter 37
 
1.9%
Other Punctuation 6
 
0.3%
Decimal Number 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 134
 
8.3%
이 110
 
6.8%
사 71
 
4.4%
회 63
 
3.9%
식 62
 
3.8%
리 53
 
3.3%
스 49
 
3.0%
에 43
 
2.6%
오 33
 
2.0%
인 25
 
1.5%
Other values (251) 980
60.4%
Uppercase Letter
ValueCountFrequency (%)
D 5
10.4%
C 5
10.4%
P 4
 
8.3%
N 4
 
8.3%
A 4
 
8.3%
F 4
 
8.3%
K 3
 
6.2%
H 3
 
6.2%
T 3
 
6.2%
M 2
 
4.2%
Other values (7) 11
22.9%
Lowercase Letter
ValueCountFrequency (%)
o 6
16.2%
a 5
13.5%
e 4
10.8%
m 4
10.8%
h 3
8.1%
r 3
8.1%
s 2
 
5.4%
p 2
 
5.4%
y 2
 
5.4%
n 2
 
5.4%
Other values (4) 4
10.8%
Other Punctuation
ValueCountFrequency (%)
& 4
66.7%
. 2
33.3%
Open Punctuation
ValueCountFrequency (%)
( 89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1623
83.5%
Common 235
 
12.1%
Latin 85
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 134
 
8.3%
이 110
 
6.8%
사 71
 
4.4%
회 63
 
3.9%
식 62
 
3.8%
리 53
 
3.3%
스 49
 
3.0%
에 43
 
2.6%
오 33
 
2.0%
인 25
 
1.5%
Other values (251) 980
60.4%
Latin
ValueCountFrequency (%)
o 6
 
7.1%
D 5
 
5.9%
C 5
 
5.9%
a 5
 
5.9%
e 4
 
4.7%
m 4
 
4.7%
P 4
 
4.7%
N 4
 
4.7%
A 4
 
4.7%
F 4
 
4.7%
Other values (21) 40
47.1%
Common
ValueCountFrequency (%)
( 89
37.9%
) 89
37.9%
49
20.9%
& 4
 
1.7%
. 2
 
0.9%
2 1
 
0.4%
- 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1623
83.5%
ASCII 320
 
16.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 134
 
8.3%
이 110
 
6.8%
사 71
 
4.4%
회 63
 
3.9%
식 62
 
3.8%
리 53
 
3.3%
스 49
 
3.0%
에 43
 
2.6%
오 33
 
2.0%
인 25
 
1.5%
Other values (251) 980
60.4%
ASCII
ValueCountFrequency (%)
( 89
27.8%
) 89
27.8%
49
15.3%
o 6
 
1.9%
D 5
 
1.6%
C 5
 
1.6%
a 5
 
1.6%
e 4
 
1.2%
m 4
 
1.2%
P 4
 
1.2%
Other values (28) 60
18.8%

최종수정시점
Date

Distinct265
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2004-06-15 00:00:00
Maximum2023-05-10 11:20:52
2024-04-18T07:34:19.722430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:34:19.852664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
U
145 
I
122 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 145
54.3%
I 122
45.7%

Length

2024-04-18T07:34:20.000159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:20.106343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 145
54.3%
i 122
45.7%

데이터갱신일자
Date

Distinct178
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-05-12 02:40:00
2024-04-18T07:34:20.222205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:34:20.350445image/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 size2.2 KiB
건강기능식품유통전문판매업
267 

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 267
100.0%

Length

2024-04-18T07:34:20.480969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:20.579365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 267
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct229
Distinct (%)87.4%
Missing5
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean343605.74
Minimum325937.57
Maximum357984.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-18T07:34:20.683404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325937.57
5-th percentile332274.67
Q1340477.24
median344279.07
Q3346634.21
95-th percentile353614.15
Maximum357984.72
Range32047.151
Interquartile range (IQR)6156.9744

Descriptive statistics

Standard deviation5722.3569
Coefficient of variation (CV)0.016653846
Kurtosis0.70766087
Mean343605.74
Median Absolute Deviation (MAD)2848.2923
Skewness-0.3439962
Sum90024703
Variance32745369
MonotonicityNot monotonic
2024-04-18T07:34:20.810611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341130.695481997 4
 
1.5%
334621.225167521 3
 
1.1%
344940.956105152 3
 
1.1%
346971.046144383 3
 
1.1%
346634.210978235 3
 
1.1%
341851.764900532 3
 
1.1%
343716.960046641 2
 
0.7%
352538.279668429 2
 
0.7%
346540.99840572 2
 
0.7%
348142.29395044 2
 
0.7%
Other values (219) 235
88.0%
(Missing) 5
 
1.9%
ValueCountFrequency (%)
325937.566452452 1
0.4%
328117.182704824 1
0.4%
328311.018298287 1
0.4%
328311.080891912 1
0.4%
328342.10797327 1
0.4%
329002.871506888 1
0.4%
331283.896888049 1
0.4%
332061.550912065 1
0.4%
332163.069052794 1
0.4%
332176.052745546 2
0.7%
ValueCountFrequency (%)
357984.717177634 2
0.7%
356698.367083593 2
0.7%
356351.617490545 1
0.4%
356267.166058634 1
0.4%
355787.812497013 1
0.4%
355709.1893427 1
0.4%
354121.680352647 1
0.4%
354079.749787597 1
0.4%
353886.322185462 2
0.7%
353695.121624938 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct229
Distinct (%)87.4%
Missing5
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean263870.53
Minimum240649.76
Maximum277749.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-18T07:34:20.937001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240649.76
5-th percentile259555.7
Q1261711.26
median263818.49
Q3265446.69
95-th percentile270492.04
Maximum277749.02
Range37099.259
Interquartile range (IQR)3735.4337

Descriptive statistics

Standard deviation4018.539
Coefficient of variation (CV)0.015229207
Kurtosis6.7766396
Mean263870.53
Median Absolute Deviation (MAD)1797.1303
Skewness-0.65024542
Sum69134080
Variance16148655
MonotonicityNot monotonic
2024-04-18T07:34:21.063072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264088.775393702 4
 
1.5%
262044.332357665 3
 
1.1%
263802.308311964 3
 
1.1%
265744.422597882 3
 
1.1%
262506.0535677 3
 
1.1%
264386.730931219 3
 
1.1%
261711.255540097 2
 
0.7%
261270.493460055 2
 
0.7%
262334.746653246 2
 
0.7%
266437.457224891 2
 
0.7%
Other values (219) 235
88.0%
(Missing) 5
 
1.9%
ValueCountFrequency (%)
240649.764741954 1
0.4%
244588.625975144 1
0.4%
252522.675879447 1
0.4%
252890.333819401 1
0.4%
252940.836113488 1
0.4%
256124.315536988 1
0.4%
257286.897263086 1
0.4%
257494.679484101 1
0.4%
257852.235745702 1
0.4%
258320.666926652 1
0.4%
ValueCountFrequency (%)
277749.024028649 2
0.7%
273994.885718704 1
0.4%
273737.606850141 1
0.4%
273554.526036001 1
0.4%
272619.438481583 1
0.4%
272558.799360465 1
0.4%
272411.512876902 1
0.4%
272277.564167233 1
0.4%
271941.364327282 1
0.4%
271813.615309217 1
0.4%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
건강기능식품유통전문판매업
267 

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 267
100.0%

Length

2024-04-18T07:34:21.188043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:21.276963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 267
100.0%

남성종사자수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
172 
0
95 

Length

Max length4
Median length4
Mean length2.9325843
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 172
64.4%
0 95
35.6%

Length

2024-04-18T07:34:21.387986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:21.476892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 172
64.4%
0 95
35.6%

여성종사자수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
172 
0
95 

Length

Max length4
Median length4
Mean length2.9325843
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 172
64.4%
0 95
35.6%

Length

2024-04-18T07:34:21.573525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:21.663364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 172
64.4%
0 95
35.6%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing267
Missing (%)100.0%
Memory size2.5 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing267
Missing (%)100.0%
Memory size2.5 KiB

급수시설구분명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
232 
상수도전용
35 

Length

Max length5
Median length4
Mean length4.1310861
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> 232
86.9%
상수도전용 35
 
13.1%

Length

2024-04-18T07:34:21.755472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:21.845592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 232
86.9%
상수도전용 35
 
13.1%

총직원수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
175 
0
92 

Length

Max length4
Median length4
Mean length2.9662921
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 175
65.5%
0 92
34.5%

Length

2024-04-18T07:34:21.941219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:22.044345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 175
65.5%
0 92
34.5%

본사직원수
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
204 
<NA>
62 
3
 
1

Length

Max length4
Median length1
Mean length1.6966292
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 204
76.4%
<NA> 62
 
23.2%
3 1
 
0.4%

Length

2024-04-18T07:34:22.137346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:22.237094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 204
76.4%
na 62
 
23.2%
3 1
 
0.4%

공장사무직직원수
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
196 
<NA>
62 
1
 
7
2
 
2

Length

Max length4
Median length1
Mean length1.6966292
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 196
73.4%
<NA> 62
 
23.2%
1 7
 
2.6%
2 2
 
0.7%

Length

2024-04-18T07:34:22.366672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:22.466510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 196
73.4%
na 62
 
23.2%
1 7
 
2.6%
2 2
 
0.7%

공장판매직직원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
197 
<NA>
62 
1
 
6
2
 
2

Length

Max length4
Median length1
Mean length1.6966292
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 197
73.8%
<NA> 62
 
23.2%
1 6
 
2.2%
2 2
 
0.7%

Length

2024-04-18T07:34:22.569022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:22.679822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 197
73.8%
na 62
 
23.2%
1 6
 
2.2%
2 2
 
0.7%

공장생산직직원수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0
205 
<NA>
62 

Length

Max length4
Median length1
Mean length1.6966292
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 205
76.8%
<NA> 62
 
23.2%

Length

2024-04-18T07:34:22.789973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:22.880699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 205
76.8%
na 62
 
23.2%

건물소유구분명
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
200 
자가
38 
임대
29 

Length

Max length4
Median length4
Mean length3.4981273
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> 200
74.9%
자가 38
 
14.2%
임대 29
 
10.9%

Length

2024-04-18T07:34:22.996755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:23.118416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 200
74.9%
자가 38
 
14.2%
임대 29
 
10.9%

보증액
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
172 
0
95 

Length

Max length4
Median length4
Mean length2.9325843
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 172
64.4%
0 95
35.6%

Length

2024-04-18T07:34:23.224997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:23.326383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 172
64.4%
0 95
35.6%

월세액
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
172 
0
95 

Length

Max length4
Median length4
Mean length2.9325843
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 172
64.4%
0 95
35.6%

Length

2024-04-18T07:34:23.443936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:34:23.539015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 172
64.4%
0 95
35.6%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size399.0 B
False
267 
ValueCountFrequency (%)
False 267
100.0%
2024-04-18T07:34:23.614417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1973408
Minimum0
Maximum377.92
Zeros253
Zeros (%)94.8%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-18T07:34:23.689589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.68
Maximum377.92
Range377.92
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.382094
Coefficient of variation (CV)8.251261
Kurtosis158.63375
Mean3.1973408
Median Absolute Deviation (MAD)0
Skewness11.891756
Sum853.69
Variance696.01487
MonotonicityNot monotonic
2024-04-18T07:34:23.799528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 253
94.8%
25.13 1
 
0.4%
118.14 1
 
0.4%
59.0 1
 
0.4%
6.6 1
 
0.4%
4.0 1
 
0.4%
10.0 1
 
0.4%
377.92 1
 
0.4%
64.9 1
 
0.4%
9.1 1
 
0.4%
Other values (5) 5
 
1.9%
ValueCountFrequency (%)
0.0 253
94.8%
2.4 1
 
0.4%
3.0 1
 
0.4%
4.0 1
 
0.4%
6.6 1
 
0.4%
9.1 1
 
0.4%
10.0 1
 
0.4%
10.5 1
 
0.4%
14.0 1
 
0.4%
25.13 1
 
0.4%
ValueCountFrequency (%)
377.92 1
0.4%
149.0 1
0.4%
118.14 1
0.4%
64.9 1
0.4%
59.0 1
0.4%
25.13 1
0.4%
14.0 1
0.4%
10.5 1
0.4%
10.0 1
0.4%
9.1 1
0.4%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing267
Missing (%)100.0%
Memory size2.5 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing267
Missing (%)100.0%
Memory size2.5 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing267
Missing (%)100.0%
Memory size2.5 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01건강기능식품유통전문판매업07_22_02_P34100003410000-135-2019-000052019-12-31<NA>1영업/정상1영업<NA><NA><NA><NA>031422089616.23700-823대구광역시 중구 봉산동 ****-****번지 업무시설대구광역시 중구 달구벌대로 ****, SH타워 *층 (봉산동)41958(주)피토스2020-01-09 15:17:21U2020-01-11 02:40:00건강기능식품유통전문판매업344002.684642263910.085339건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
12건강기능식품유통전문판매업07_22_02_P34100003410000-135-2017-000012017-11-09<NA>3폐업2폐업2020-12-23<NA><NA><NA><NA>45.0700-412대구광역시 중구 삼덕동*가 ****-**** 미르치과병원 **층대구광역시 중구 공평로 ** (삼덕동*가, 미르치과병원 **층)41940(주)엠지뉴턴2020-12-23 13:46:29U2020-12-25 02:40:00건강기능식품유통전문판매업344447.949671263940.739988건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
23건강기능식품유통전문판매업07_22_02_P34100003410000-135-2023-000022023-04-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>700-804대구광역시 중구 남산동 ****-**** 로하스남산 ***호대구광역시 중구 남산로*안길 **, ***호 (남산동, 로하스남산)41972주식회사 라이프앤휴먼킹2023-04-13 09:58:22I2023-04-15 00:20:20건강기능식품유통전문판매업343206.428866263018.96379건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
34건강기능식품유통전문판매업07_22_02_P34100003410000-135-2022-000032022-08-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>700-180대구광역시 중구 동문동 ****-**** *층대구광역시 중구 경상감영길 ***-*, *층 (동문동)41913오드니스2023-05-10 11:20:52I2023-05-12 00:19:53건강기능식품유통전문판매업344414.383782264628.790781건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
45건강기능식품유통전문판매업07_22_02_P34100003410000-135-2023-000032023-05-08<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>700-845대구광역시 중구 동인동*가 ****-**** *층대구광역시 중구 동덕로**길 **-*, *층 (동인동*가)41906주식회사 글로리바이오파마2023-05-08 15:55:38I2023-05-10 00:19:55건강기능식품유통전문판매업345298.778819264681.518029건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
56건강기능식품유통전문판매업07_22_02_P34100003410000-135-2020-000032020-07-28<NA>1영업/정상1영업<NA><NA><NA><NA>050 5555969036.69700-413대구광역시 중구 삼덕동*가 **** 움비어스오피스텔대구광역시 중구 동덕로**길 **, 움비어스오피스텔 ***호 (삼덕동*가)41946(주)에이지블루2020-09-11 17:39:13U2020-09-13 02:40:00건강기능식품유통전문판매업345242.909438264091.856847건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
67건강기능식품유통전문판매업07_22_02_P34100003410000-135-2021-000032021-08-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>700-413대구광역시 중구 삼덕동*가 ****-**** *층대구광역시 중구 동덕로**길 **, *층 (삼덕동*가)41946코엘2021-08-23 13:29:13I2021-08-25 00:22:50건강기능식품유통전문판매업345255.927779264088.89938건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
78건강기능식품유통전문판매업07_22_02_P34100003410000-135-2022-000022022-11-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA>13.3700-251대구광역시 중구 서문로*가 **** *층 ***호대구광역시 중구 경상감영길 **, *층 ***호 (서문로*가)41919실버리버2022-12-20 16:23:18U2022-12-22 02:40:00건강기능식품유통전문판매업343574.623183264624.927229건강기능식품유통전문판매업00<NA><NA><NA>00100<NA>00N0.0<NA><NA><NA>
89건강기능식품유통전문판매업07_22_02_P34100003410000-135-2019-000062019-08-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0700-440대구광역시 중구 남산동 **** 극동 스타클래스 남산 ***동 ***호대구광역시 중구 남산로 **, ***동 ***호 (남산동, 극동 스타클래스 남산)41971윤상철그리포란2022-12-16 17:47:39I2022-12-18 00:40:10건강기능식품유통전문판매업343009.218633263321.424532건강기능식품유통전문판매업00<NA><NA>상수도전용00000임대00N0.0<NA><NA><NA>
910건강기능식품유통전문판매업07_22_02_P34100003410000-135-2021-000012021-03-26<NA>1영업/정상1영업<NA><NA><NA><NA>053 423602337.0700-831대구광역시 중구 남산동 ****-**** 반월당SK허브스카이아파트 ***호대구광역시 중구 중앙대로 ***, ***호 (남산동, 반월당SK허브스카이아파트)41967주식회사 비채라이프2021-04-22 10:46:15U2021-04-24 02:40:00건강기능식품유통전문판매업343770.758234263623.262721건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
257258건강기능식품유통전문판매업07_22_02_P34800003480000-135-2016-000022016-06-22<NA>1영업/정상1영업<NA><NA><NA><NA>053 248 186015.0711-814대구광역시 달성군 다사읍 세천리 ****-*번지대구광역시 달성군 다사읍 세천북로*길 **-*, *층42922평산네이처2016-06-22 14:30:45I2018-08-31 23:59:59건강기능식품유통전문판매업333532.782282265310.700363건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
258259건강기능식품유통전문판매업07_22_02_P34800003480000-135-2015-000022015-11-09<NA>3폐업2폐업2019-05-23<NA><NA><NA><NA>42.69711-812대구광역시 달성군 다사읍 매곡리 ***번지 ***호대구광역시 달성군 다사읍 왕선로 **, *층 ***호42910에이치앤비홀딩스2019-05-23 10:31:04I2019-05-25 02:20:54건강기능식품유통전문판매업332176.052746263770.873143건강기능식품유통전문판매업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
259260건강기능식품유통전문판매업07_22_02_P34800003480000-135-2020-000012020-01-13<NA>3폐업2폐업2022-10-17<NA><NA><NA><NA>37.0711-821대구광역시 달성군 하빈면 동곡리 ***-* *층대구광역시 달성군 하빈면 달구벌대로**길 **, *층42903에버헬스2022-10-17 10:30:52U2022-10-19 02:40:00건강기능식품유통전문판매업328117.182705265170.995751건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
260261건강기능식품유통전문판매업07_22_02_P34800003480000-135-2017-000012017-11-16<NA>3폐업2폐업2023-04-11<NA><NA><NA>053 751 2225493.0711-851대구광역시 달성군 논공읍 금포리 ****대구광역시 달성군 논공읍 비슬로***길 **-*42975(주)한솔디바인연구소2023-05-08 11:12:32U2023-05-10 02:40:00건강기능식품유통전문판매업328311.080892252890.333819건강기능식품유통전문판매업00<NA><NA><NA>00000자가00N0.0<NA><NA><NA>
261262건강기능식품유통전문판매업07_22_02_P34800003480000-135-2021-000032021-12-07<NA>3폐업2폐업2022-03-02<NA><NA><NA><NA><NA>711-891대구광역시 달성군 구지면 응암리 **** 대구국가산단 반도유보라 아이비파크 ***동 ****호대구광역시 달성군 구지면 과학마을로*길 **, ***동 ****호 (대구국가산단 반도유보라 아이비파크)43008라이크비2022-03-02 09:20:34U2022-03-05 02:40:00건강기능식품유통전문판매업328342.107973240649.764742건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
262263건강기능식품유통전문판매업07_22_02_P34800003480000-135-2016-000032016-06-22<NA>3폐업2폐업2022-02-03<NA><NA><NA><NA>208.0711-814대구광역시 달성군 다사읍 세천리 ****-*대구광역시 달성군 다사읍 세천북로*길 **-*42922주식회사월드라인2022-02-03 17:05:23U2022-02-05 02:40:00건강기능식품유통전문판매업333519.662819265221.218433건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N149.0<NA><NA><NA>
263264건강기능식품유통전문판매업07_22_02_P34800003480000-135-2016-000012016-04-14<NA>3폐업2폐업2019-11-19<NA><NA><NA><NA>27.0711-812대구광역시 달성군 다사읍 매곡리 ****-*번지대구광역시 달성군 다사읍 달구벌대로 ***, *층 ***호42914모니카헬스케어2019-11-19 14:28:30U2019-11-21 02:40:00건강기능식품유통전문판매업332237.177954263095.169477건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
264265건강기능식품유통전문판매업07_22_02_P34800003480000-135-2007-000012007-01-10<NA>3폐업2폐업2014-04-29<NA><NA><NA>053 324 98240.0711-814대구광역시 달성군 다사읍 세천리 ****-**번지대구광역시 달성군 다사읍 세천로*길 ***, 가동 *층42921에인에이(주)2014-04-15 16:48:45I2018-08-31 23:59:59건강기능식품유통전문판매업332163.069053265348.507187건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000임대00N0.0<NA><NA><NA>
265266건강기능식품유통전문판매업07_22_02_P34800003480000-135-2012-000012012-02-20<NA>3폐업2폐업2013-08-16<NA><NA><NA>053 522310241.69711-856대구광역시 달성군 논공읍 노이리 ****-*번지대구광역시 달성군 논공읍 노이*길 **42975프로매스2012-03-08 21:59:46I2018-08-31 23:59:59건강기능식품유통전문판매업329002.871507252522.675879건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
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