Overview

Dataset statistics

Number of variables47
Number of observations288
Missing cells2961
Missing cells (%)21.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory113.5 KiB
Average record size in memory403.5 B

Variable types

Numeric7
Categorical20
Text6
DateTime4
Unsupported9
Boolean1

Dataset

Description24년03월_6270000_대구광역시_07_22_02_P_건강기능식품유통전문판매업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000106619&dataSetDetailId=DDI_0000106663&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
본사직원수 is highly imbalanced (52.7%)Imbalance
공장사무직직원수 is highly imbalanced (51.7%)Imbalance
공장판매직직원수 is highly imbalanced (54.3%)Imbalance
인허가취소일자 has 288 (100.0%) missing valuesMissing
폐업일자 has 117 (40.6%) missing valuesMissing
휴업시작일자 has 288 (100.0%) missing valuesMissing
휴업종료일자 has 288 (100.0%) missing valuesMissing
재개업일자 has 288 (100.0%) missing valuesMissing
소재지전화 has 151 (52.4%) missing valuesMissing
소재지면적 has 61 (21.2%) missing valuesMissing
도로명전체주소 has 14 (4.9%) missing valuesMissing
도로명우편번호 has 14 (4.9%) missing valuesMissing
좌표정보(X) has 5 (1.7%) missing valuesMissing
좌표정보(Y) has 5 (1.7%) missing valuesMissing
영업장주변구분명 has 288 (100.0%) missing valuesMissing
등급구분명 has 288 (100.0%) missing valuesMissing
전통업소지정번호 has 288 (100.0%) missing valuesMissing
전통업소주된음식 has 288 (100.0%) missing valuesMissing
홈페이지 has 288 (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 23 (8.0%) zerosZeros
시설총규모 has 268 (93.1%) zerosZeros

Reproduction

Analysis started2024-04-29 12:31:19.670849
Analysis finished2024-04-29 12:31:20.603020
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct288
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.5
Minimum1
Maximum288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-29T21:31:20.679025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.35
Q172.75
median144.5
Q3216.25
95-th percentile273.65
Maximum288
Range287
Interquartile range (IQR)143.5

Descriptive statistics

Standard deviation83.282651
Coefficient of variation (CV)0.57635053
Kurtosis-1.2
Mean144.5
Median Absolute Deviation (MAD)72
Skewness0
Sum41616
Variance6936
MonotonicityStrictly increasing
2024-04-29T21:31:20.810679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
146 1
 
0.3%
198 1
 
0.3%
197 1
 
0.3%
196 1
 
0.3%
195 1
 
0.3%
194 1
 
0.3%
193 1
 
0.3%
192 1
 
0.3%
191 1
 
0.3%
Other values (278) 278
96.5%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
288 1
0.3%
287 1
0.3%
286 1
0.3%
285 1
0.3%
284 1
0.3%
283 1
0.3%
282 1
0.3%
281 1
0.3%
280 1
0.3%
279 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
건강기능식품유통전문판매업
288 

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 288
100.0%

Length

2024-04-29T21:31:20.941849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:21.035510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 288
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
07_22_02_P
288 

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 288
100.0%

Length

2024-04-29T21:31:21.131067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:21.386955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_02_p 288
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450802.1
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-29T21:31:21.462178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33460000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation102462.63
Coefficient of variation (CV)0.029692411
Kurtosis260.41621
Mean3450802.1
Median Absolute Deviation (MAD)20000
Skewness15.738721
Sum9.93831 × 108
Variance1.0498591 × 1010
MonotonicityIncreasing
2024-04-29T21:31:21.574751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3460000 59
20.5%
3420000 54
18.8%
3470000 46
16.0%
3450000 38
13.2%
3410000 34
11.8%
3430000 19
 
6.6%
3480000 19
 
6.6%
3440000 18
 
6.2%
5141000 1
 
0.3%
ValueCountFrequency (%)
3410000 34
11.8%
3420000 54
18.8%
3430000 19
 
6.6%
3440000 18
 
6.2%
3450000 38
13.2%
3460000 59
20.5%
3470000 46
16.0%
3480000 19
 
6.6%
5141000 1
 
0.3%
ValueCountFrequency (%)
5141000 1
 
0.3%
3480000 19
 
6.6%
3470000 46
16.0%
3460000 59
20.5%
3450000 38
13.2%
3440000 18
 
6.2%
3430000 19
 
6.6%
3420000 54
18.8%
3410000 34
11.8%

관리번호
Text

UNIQUE 

Distinct288
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-29T21:31:21.749205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters6336
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

Unique288 ?
Unique (%)100.0%

Sample

1st row3410000-135-2022-00004
2nd row3410000-135-2017-00001
3rd row3410000-135-2023-00002
4th row3410000-135-2022-00003
5th row3410000-135-2023-00003
ValueCountFrequency (%)
3410000-135-2022-00004 1
 
0.3%
3410000-135-2017-00001 1
 
0.3%
3460000-135-2021-00008 1
 
0.3%
3460000-135-2021-00006 1
 
0.3%
3460000-135-2020-00002 1
 
0.3%
3460000-135-2024-00001 1
 
0.3%
3460000-135-2019-00006 1
 
0.3%
3460000-135-2019-00001 1
 
0.3%
3460000-135-2023-00002 1
 
0.3%
3460000-135-2019-00004 1
 
0.3%
Other values (278) 278
96.5%
2024-04-29T21:31:22.051303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2648
41.8%
- 864
 
13.6%
3 668
 
10.5%
1 627
 
9.9%
2 557
 
8.8%
5 369
 
5.8%
4 364
 
5.7%
6 91
 
1.4%
7 67
 
1.1%
8 41
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5472
86.4%
Dash Punctuation 864
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2648
48.4%
3 668
 
12.2%
1 627
 
11.5%
2 557
 
10.2%
5 369
 
6.7%
4 364
 
6.7%
6 91
 
1.7%
7 67
 
1.2%
8 41
 
0.7%
9 40
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 864
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2648
41.8%
- 864
 
13.6%
3 668
 
10.5%
1 627
 
9.9%
2 557
 
8.8%
5 369
 
5.8%
4 364
 
5.7%
6 91
 
1.4%
7 67
 
1.1%
8 41
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2648
41.8%
- 864
 
13.6%
3 668
 
10.5%
1 627
 
9.9%
2 557
 
8.8%
5 369
 
5.8%
4 364
 
5.7%
6 91
 
1.4%
7 67
 
1.1%
8 41
 
0.6%

인허가일자
Date

Distinct230
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2004-06-10 00:00:00
Maximum2024-03-25 00:00:00
2024-04-29T21:31:22.182495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:31:22.311440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
3
171 
1
117 

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 (%)
3 171
59.4%
1 117
40.6%

Length

2024-04-29T21:31:22.467012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:22.574325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 171
59.4%
1 117
40.6%

영업상태명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
폐업
171 
영업/정상
117 

Length

Max length5
Median length2
Mean length3.21875
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 171
59.4%
영업/정상 117
40.6%

Length

2024-04-29T21:31:22.682505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:22.787280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 171
59.4%
영업/정상 117
40.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2
171 
1
117 

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 (%)
2 171
59.4%
1 117
40.6%

Length

2024-04-29T21:31:22.885768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:22.984763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 171
59.4%
1 117
40.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
폐업
171 
영업
117 

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 171
59.4%
영업 117
40.6%

Length

2024-04-29T21:31:23.095372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:23.200414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 171
59.4%
영업 117
40.6%

폐업일자
Date

MISSING 

Distinct160
Distinct (%)93.6%
Missing117
Missing (%)40.6%
Memory size2.4 KiB
Minimum2005-12-13 00:00:00
Maximum2024-03-21 00:00:00
2024-04-29T21:31:23.330109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:31:23.486700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

소재지전화
Text

MISSING 

Distinct113
Distinct (%)82.5%
Missing151
Missing (%)52.4%
Memory size2.4 KiB
2024-04-29T21:31:23.830073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.343066
Min length7

Characters and Unicode

Total characters1554
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

Unique96 ?
Unique (%)70.1%

Sample

1st row053 4236023
2nd row0532170705
3rd row0314220896
4th row050 55559690
5th row05052554545
ValueCountFrequency (%)
053 93
29.2%
070 10
 
3.1%
3341 4
 
1.3%
985 4
 
1.3%
324 4
 
1.3%
755 4
 
1.3%
2926389 3
 
0.9%
5550101 3
 
0.9%
07075701074 3
 
0.9%
0156 3
 
0.9%
Other values (161) 187
58.8%
2024-04-29T21:31:24.287828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 264
17.0%
5 242
15.6%
3 189
12.2%
182
11.7%
7 123
7.9%
2 115
7.4%
1 95
 
6.1%
8 91
 
5.9%
9 88
 
5.7%
4 86
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1372
88.3%
Space Separator 182
 
11.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 264
19.2%
5 242
17.6%
3 189
13.8%
7 123
9.0%
2 115
8.4%
1 95
 
6.9%
8 91
 
6.6%
9 88
 
6.4%
4 86
 
6.3%
6 79
 
5.8%
Space Separator
ValueCountFrequency (%)
182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1554
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 264
17.0%
5 242
15.6%
3 189
12.2%
182
11.7%
7 123
7.9%
2 115
7.4%
1 95
 
6.1%
8 91
 
5.9%
9 88
 
5.7%
4 86
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1554
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 264
17.0%
5 242
15.6%
3 189
12.2%
182
11.7%
7 123
7.9%
2 115
7.4%
1 95
 
6.1%
8 91
 
5.9%
9 88
 
5.7%
4 86
 
5.5%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct169
Distinct (%)74.4%
Missing61
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean62.269427
Minimum0
Maximum493
Zeros23
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-29T21:31:24.455227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median36.3
Q381
95-th percentile210.681
Maximum493
Range493
Interquartile range (IQR)66

Descriptive statistics

Standard deviation75.195045
Coefficient of variation (CV)1.2075757
Kurtosis8.0476875
Mean62.269427
Median Absolute Deviation (MAD)29.59
Skewness2.4675983
Sum14135.16
Variance5654.2948
MonotonicityNot monotonic
2024-04-29T21:31:24.597300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 23
 
8.0%
16.5 5
 
1.7%
15.0 5
 
1.7%
33.0 4
 
1.4%
10.0 4
 
1.4%
70.71 3
 
1.0%
76.0 3
 
1.0%
66.0 3
 
1.0%
35.0 3
 
1.0%
3.0 2
 
0.7%
Other values (159) 172
59.7%
(Missing) 61
 
21.2%
ValueCountFrequency (%)
0.0 23
8.0%
1.0 1
 
0.3%
1.2 1
 
0.3%
2.0 1
 
0.3%
3.0 2
 
0.7%
3.7 1
 
0.3%
4.0 2
 
0.7%
4.3 1
 
0.3%
4.5 1
 
0.3%
4.6 1
 
0.3%
ValueCountFrequency (%)
493.0 1
0.3%
377.92 1
0.3%
376.86 1
0.3%
375.0 1
0.3%
329.8 1
0.3%
265.29 1
0.3%
240.0 1
0.3%
226.08 2
0.7%
226.0 1
0.3%
215.72 1
0.3%

소재지우편번호
Text

Distinct170
Distinct (%)59.4%
Missing2
Missing (%)0.7%
Memory size2.4 KiB
2024-04-29T21:31:24.926314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters2002
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

Unique102 ?
Unique (%)35.7%

Sample

1st row700-831
2nd row700-412
3rd row700-804
4th row700-180
5th row700-845
ValueCountFrequency (%)
703-846 5
 
1.7%
700-823 5
 
1.7%
704-919 5
 
1.7%
701-170 5
 
1.7%
702-894 5
 
1.7%
700-413 5
 
1.7%
706-220 4
 
1.4%
706-800 4
 
1.4%
711-814 4
 
1.4%
706-801 4
 
1.4%
Other values (160) 240
83.9%
2024-04-29T21:31:25.403288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 424
21.2%
7 318
15.9%
- 286
14.3%
8 234
11.7%
1 188
9.4%
4 126
 
6.3%
2 126
 
6.3%
6 102
 
5.1%
3 97
 
4.8%
5 57
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1716
85.7%
Dash Punctuation 286
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 424
24.7%
7 318
18.5%
8 234
13.6%
1 188
11.0%
4 126
 
7.3%
2 126
 
7.3%
6 102
 
5.9%
3 97
 
5.7%
5 57
 
3.3%
9 44
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 286
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2002
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 424
21.2%
7 318
15.9%
- 286
14.3%
8 234
11.7%
1 188
9.4%
4 126
 
6.3%
2 126
 
6.3%
6 102
 
5.1%
3 97
 
4.8%
5 57
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2002
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 424
21.2%
7 318
15.9%
- 286
14.3%
8 234
11.7%
1 188
9.4%
4 126
 
6.3%
2 126
 
6.3%
6 102
 
5.1%
3 97
 
4.8%
5 57
 
2.8%

소재지전체주소
Text

Distinct242
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-29T21:31:25.768118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length25.288194
Min length17

Characters and Unicode

Total characters7283
Distinct characters234
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

Unique204 ?
Unique (%)70.8%

Sample

1st row대구광역시 중구 남산동 ****
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 287
20.6%
164
 
11.8%
번지 125
 
9.0%
수성구 58
 
4.2%
동구 54
 
3.9%
층 52
 
3.7%
달서구 44
 
3.2%
북구 38
 
2.7%
중구 35
 
2.5%
호 34
 
2.4%
Other values (201) 502
36.0%
2024-04-29T21:31:26.280041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1624
22.3%
1370
18.8%
구 572
 
7.9%
동 343
 
4.7%
대 328
 
4.5%
시 295
 
4.1%
역 289
 
4.0%
광 287
 
3.9%
- 247
 
3.4%
지 168
 
2.3%
Other values (224) 1760
24.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3983
54.7%
Other Punctuation 1636
22.5%
Space Separator 1370
 
18.8%
Dash Punctuation 247
 
3.4%
Uppercase Letter 16
 
0.2%
Close Punctuation 13
 
0.2%
Open Punctuation 13
 
0.2%
Lowercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 572
14.4%
동 343
 
8.6%
대 328
 
8.2%
시 295
 
7.4%
역 289
 
7.3%
광 287
 
7.2%
지 168
 
4.2%
번 125
 
3.1%
성 100
 
2.5%
층 80
 
2.0%
Other values (203) 1396
35.0%
Uppercase Letter
ValueCountFrequency (%)
S 4
25.0%
K 3
18.8%
B 2
12.5%
D 2
12.5%
J 1
 
6.2%
P 1
 
6.2%
T 1
 
6.2%
A 1
 
6.2%
R 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
* 1624
99.3%
, 10
 
0.6%
& 1
 
0.1%
/ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
l 1
20.0%
u 1
20.0%
x 1
20.0%
Space Separator
ValueCountFrequency (%)
1370
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 247
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3983
54.7%
Common 3279
45.0%
Latin 21
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 572
14.4%
동 343
 
8.6%
대 328
 
8.2%
시 295
 
7.4%
역 289
 
7.3%
광 287
 
7.2%
지 168
 
4.2%
번 125
 
3.1%
성 100
 
2.5%
층 80
 
2.0%
Other values (203) 1396
35.0%
Latin
ValueCountFrequency (%)
S 4
19.0%
K 3
14.3%
e 2
9.5%
B 2
9.5%
D 2
9.5%
J 1
 
4.8%
P 1
 
4.8%
T 1
 
4.8%
l 1
 
4.8%
u 1
 
4.8%
Other values (3) 3
14.3%
Common
ValueCountFrequency (%)
* 1624
49.5%
1370
41.8%
- 247
 
7.5%
) 13
 
0.4%
( 13
 
0.4%
, 10
 
0.3%
& 1
 
< 0.1%
/ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3983
54.7%
ASCII 3300
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1624
49.2%
1370
41.5%
- 247
 
7.5%
) 13
 
0.4%
( 13
 
0.4%
, 10
 
0.3%
S 4
 
0.1%
K 3
 
0.1%
e 2
 
0.1%
B 2
 
0.1%
Other values (11) 12
 
0.4%
Hangul
ValueCountFrequency (%)
구 572
14.4%
동 343
 
8.6%
대 328
 
8.2%
시 295
 
7.4%
역 289
 
7.3%
광 287
 
7.2%
지 168
 
4.2%
번 125
 
3.1%
성 100
 
2.5%
층 80
 
2.0%
Other values (203) 1396
35.0%

도로명전체주소
Text

MISSING 

Distinct247
Distinct (%)90.1%
Missing14
Missing (%)4.9%
Memory size2.4 KiB
2024-04-29T21:31:26.567594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length51
Mean length31.178832
Min length21

Characters and Unicode

Total characters8543
Distinct characters257
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

Unique227 ?
Unique (%)82.8%

Sample

1st row대구광역시 중구 달구벌대로 **** (남산동)
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 274
 
15.6%
274
 
15.6%
층 184
 
10.5%
호 64
 
3.7%
수성구 56
 
3.2%
동구 51
 
2.9%
달서구 42
 
2.4%
북구 37
 
2.1%
중구 33
 
1.9%
달성군 19
 
1.1%
Other values (323) 717
40.9%
2024-04-29T21:31:27.042793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1477
17.3%
* 1418
16.6%
구 587
 
6.9%
동 375
 
4.4%
대 368
 
4.3%
시 282
 
3.3%
역 277
 
3.2%
광 274
 
3.2%
로 270
 
3.2%
, 270
 
3.2%
Other values (247) 2945
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4765
55.8%
Other Punctuation 1689
 
19.8%
Space Separator 1477
 
17.3%
Open Punctuation 264
 
3.1%
Close Punctuation 264
 
3.1%
Dash Punctuation 58
 
0.7%
Uppercase Letter 20
 
0.2%
Lowercase Letter 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 587
 
12.3%
동 375
 
7.9%
대 368
 
7.7%
시 282
 
5.9%
역 277
 
5.8%
광 274
 
5.8%
로 270
 
5.7%
층 216
 
4.5%
성 119
 
2.5%
길 110
 
2.3%
Other values (225) 1887
39.6%
Uppercase Letter
ValueCountFrequency (%)
S 5
25.0%
A 3
15.0%
K 3
15.0%
D 2
 
10.0%
B 2
 
10.0%
T 1
 
5.0%
P 1
 
5.0%
J 1
 
5.0%
R 1
 
5.0%
H 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
x 1
20.0%
u 1
20.0%
l 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 1418
84.0%
, 270
 
16.0%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1477
100.0%
Open Punctuation
ValueCountFrequency (%)
( 264
100.0%
Close Punctuation
ValueCountFrequency (%)
) 264
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4765
55.8%
Common 3753
43.9%
Latin 25
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 587
 
12.3%
동 375
 
7.9%
대 368
 
7.7%
시 282
 
5.9%
역 277
 
5.8%
광 274
 
5.8%
로 270
 
5.7%
층 216
 
4.5%
성 119
 
2.5%
길 110
 
2.3%
Other values (225) 1887
39.6%
Latin
ValueCountFrequency (%)
S 5
20.0%
A 3
12.0%
K 3
12.0%
e 2
 
8.0%
D 2
 
8.0%
B 2
 
8.0%
T 1
 
4.0%
P 1
 
4.0%
J 1
 
4.0%
R 1
 
4.0%
Other values (4) 4
16.0%
Common
ValueCountFrequency (%)
1477
39.4%
* 1418
37.8%
, 270
 
7.2%
( 264
 
7.0%
) 264
 
7.0%
- 58
 
1.5%
& 1
 
< 0.1%
~ 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4765
55.8%
ASCII 3778
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1477
39.1%
* 1418
37.5%
, 270
 
7.1%
( 264
 
7.0%
) 264
 
7.0%
- 58
 
1.5%
S 5
 
0.1%
A 3
 
0.1%
K 3
 
0.1%
e 2
 
0.1%
Other values (12) 14
 
0.4%
Hangul
ValueCountFrequency (%)
구 587
 
12.3%
동 375
 
7.9%
대 368
 
7.7%
시 282
 
5.9%
역 277
 
5.8%
광 274
 
5.8%
로 270
 
5.7%
층 216
 
4.5%
성 119
 
2.5%
길 110
 
2.3%
Other values (225) 1887
39.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct200
Distinct (%)73.0%
Missing14
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean41985.858
Minimum41000
Maximum43159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-29T21:31:27.217305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41061
Q141477
median41973.5
Q342460
95-th percentile42911.4
Maximum43159
Range2159
Interquartile range (IQR)983

Descriptive statistics

Standard deviation585.97816
Coefficient of variation (CV)0.01395656
Kurtosis-1.0632978
Mean41985.858
Median Absolute Deviation (MAD)495
Skewness0.00022440006
Sum11504125
Variance343370.4
MonotonicityNot monotonic
2024-04-29T21:31:27.359912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41475 5
 
1.7%
42175 4
 
1.4%
42140 4
 
1.4%
41028 4
 
1.4%
42709 4
 
1.4%
41832 4
 
1.4%
41567 4
 
1.4%
41223 3
 
1.0%
41809 3
 
1.0%
42910 3
 
1.0%
Other values (190) 236
81.9%
(Missing) 14
 
4.9%
ValueCountFrequency (%)
41000 2
0.7%
41026 1
 
0.3%
41028 4
1.4%
41033 1
 
0.3%
41035 1
 
0.3%
41040 1
 
0.3%
41059 3
1.0%
41061 2
0.7%
41065 2
0.7%
41068 1
 
0.3%
ValueCountFrequency (%)
43159 1
 
0.3%
43008 1
 
0.3%
42995 1
 
0.3%
42975 3
1.0%
42974 1
 
0.3%
42922 3
1.0%
42921 1
 
0.3%
42918 2
0.7%
42914 1
 
0.3%
42910 3
1.0%

사업장명
Text

Distinct240
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-29T21:31:27.559850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length7.3333333
Min length2

Characters and Unicode

Total characters2112
Distinct characters312
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

Unique204 ?
Unique (%)70.8%

Sample

1st row주식회사알피에프
2nd row(주)엠지뉴턴
3rd row주식회사 라이프앤휴먼킹
4th row오드니스
5th row주식회사 글로리바이오파마
ValueCountFrequency (%)
주식회사 32
 
9.4%
주식회사월드라인 5
 
1.5%
주 4
 
1.2%
오롯이 4
 
1.2%
주)쓰리에이치 4
 
1.2%
에이팜 4
 
1.2%
해피하이컴퍼니 3
 
0.9%
에인에이(주 3
 
0.9%
f&d 3
 
0.9%
와이제이그룹 3
 
0.9%
Other values (240) 277
81.0%
2024-04-29T21:31:27.918502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 146
 
6.9%
이 120
 
5.7%
) 95
 
4.5%
( 95
 
4.5%
사 78
 
3.7%
회 70
 
3.3%
식 68
 
3.2%
스 59
 
2.8%
54
 
2.6%
리 54
 
2.6%
Other values (302) 1273
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1763
83.5%
Close Punctuation 95
 
4.5%
Open Punctuation 95
 
4.5%
Space Separator 54
 
2.6%
Lowercase Letter 53
 
2.5%
Uppercase Letter 44
 
2.1%
Other Punctuation 6
 
0.3%
Decimal Number 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 146
 
8.3%
이 120
 
6.8%
사 78
 
4.4%
회 70
 
4.0%
식 68
 
3.9%
스 59
 
3.3%
리 54
 
3.1%
에 46
 
2.6%
오 37
 
2.1%
아 25
 
1.4%
Other values (262) 1060
60.1%
Uppercase Letter
ValueCountFrequency (%)
C 6
13.6%
D 5
11.4%
F 4
9.1%
K 3
 
6.8%
P 3
 
6.8%
O 3
 
6.8%
H 3
 
6.8%
N 3
 
6.8%
E 3
 
6.8%
R 2
 
4.5%
Other values (7) 9
20.5%
Lowercase Letter
ValueCountFrequency (%)
a 7
13.2%
o 6
11.3%
m 5
9.4%
e 5
9.4%
s 4
7.5%
n 4
7.5%
i 4
7.5%
h 4
7.5%
r 4
7.5%
y 3
5.7%
Other values (6) 7
13.2%
Other Punctuation
ValueCountFrequency (%)
& 4
66.7%
. 2
33.3%
Close Punctuation
ValueCountFrequency (%)
) 95
100.0%
Open Punctuation
ValueCountFrequency (%)
( 95
100.0%
Space Separator
ValueCountFrequency (%)
54
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1763
83.5%
Common 252
 
11.9%
Latin 97
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 146
 
8.3%
이 120
 
6.8%
사 78
 
4.4%
회 70
 
4.0%
식 68
 
3.9%
스 59
 
3.3%
리 54
 
3.1%
에 46
 
2.6%
오 37
 
2.1%
아 25
 
1.4%
Other values (262) 1060
60.1%
Latin
ValueCountFrequency (%)
a 7
 
7.2%
C 6
 
6.2%
o 6
 
6.2%
m 5
 
5.2%
D 5
 
5.2%
e 5
 
5.2%
s 4
 
4.1%
n 4
 
4.1%
i 4
 
4.1%
h 4
 
4.1%
Other values (23) 47
48.5%
Common
ValueCountFrequency (%)
) 95
37.7%
( 95
37.7%
54
21.4%
& 4
 
1.6%
. 2
 
0.8%
2 1
 
0.4%
- 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1763
83.5%
ASCII 349
 
16.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 146
 
8.3%
이 120
 
6.8%
사 78
 
4.4%
회 70
 
4.0%
식 68
 
3.9%
스 59
 
3.3%
리 54
 
3.1%
에 46
 
2.6%
오 37
 
2.1%
아 25
 
1.4%
Other values (262) 1060
60.1%
ASCII
ValueCountFrequency (%)
) 95
27.2%
( 95
27.2%
54
15.5%
a 7
 
2.0%
C 6
 
1.7%
o 6
 
1.7%
m 5
 
1.4%
D 5
 
1.4%
e 5
 
1.4%
s 4
 
1.1%
Other values (30) 67
19.2%

최종수정시점
Date

Distinct286
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2004-06-15 00:00:00
Maximum2024-03-25 18:19:45
2024-04-29T21:31:28.061435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:31:28.193117image/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 size2.4 KiB
U
160 
I
128 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 160
55.6%
I 128
44.4%

Length

2024-04-29T21:31:28.315500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:28.409829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 160
55.6%
i 128
44.4%

데이터갱신일자
Date

Distinct198
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2018-08-31 23:59:59
Maximum2024-03-27 00:15:31
2024-04-29T21:31:28.517572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T21:31:28.645793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
건강기능식품유통전문판매업
288 

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 288
100.0%

Length

2024-04-29T21:31:28.780625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:28.865952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 288
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct245
Distinct (%)86.6%
Missing5
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean343671.51
Minimum325937.57
Maximum357984.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-29T21:31:28.959470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325937.57
5-th percentile332312.16
Q1340354.68
median344341.82
Q3346684.7
95-th percentile353631.1
Maximum357984.72
Range32047.151
Interquartile range (IQR)6330.0232

Descriptive statistics

Standard deviation5757.2959
Coefficient of variation (CV)0.016752322
Kurtosis0.73275773
Mean343671.51
Median Absolute Deviation (MAD)2934.7686
Skewness-0.3777842
Sum97259038
Variance33146457
MonotonicityNot monotonic
2024-04-29T21:31:29.076252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341130.695481997 4
 
1.4%
346634.210978235 3
 
1.0%
346568.689575805 3
 
1.0%
346971.046144383 3
 
1.0%
334621.225167521 3
 
1.0%
341851.764900532 3
 
1.0%
344940.956105152 3
 
1.0%
345893.033678637 2
 
0.7%
352538.279668429 2
 
0.7%
345617.770297053 2
 
0.7%
Other values (235) 255
88.5%
(Missing) 5
 
1.7%
ValueCountFrequency (%)
325937.566452452 1
0.3%
326898.63894967 1
0.3%
328117.182704824 1
0.3%
328311.018298287 1
0.3%
328311.080891912 1
0.3%
328342.10797327 1
0.3%
329002.871506888 1
0.3%
331283.896888049 1
0.3%
332061.550912065 1
0.3%
332163.069052794 1
0.3%
ValueCountFrequency (%)
357984.717177634 2
0.7%
356698.367083593 2
0.7%
356351.617490545 1
0.3%
356267.166058634 1
0.3%
355787.812497013 1
0.3%
355709.1893427 1
0.3%
354258.131987956 1
0.3%
354121.680352647 1
0.3%
354079.749787597 1
0.3%
353886.322185462 2
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct245
Distinct (%)86.6%
Missing5
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean264009.55
Minimum240649.76
Maximum291104.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-29T21:31:29.430689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240649.76
5-th percentile259562.18
Q1261786.46
median263885.31
Q3265472.03
95-th percentile270788.86
Maximum291104.21
Range50454.444
Interquartile range (IQR)3685.5682

Descriptive statistics

Standard deviation4281.8826
Coefficient of variation (CV)0.016218665
Kurtosis9.9595048
Mean264009.55
Median Absolute Deviation (MAD)1840.9772
Skewness0.33973547
Sum74714703
Variance18334518
MonotonicityNot monotonic
2024-04-29T21:31:29.581399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264088.775393702 4
 
1.4%
262506.0535677 3
 
1.0%
260232.742059815 3
 
1.0%
265744.422597882 3
 
1.0%
262044.332357665 3
 
1.0%
264386.730931219 3
 
1.0%
263802.308311964 3
 
1.0%
258439.272892249 2
 
0.7%
261270.493460055 2
 
0.7%
261089.235119679 2
 
0.7%
Other values (235) 255
88.5%
(Missing) 5
 
1.7%
ValueCountFrequency (%)
240649.764741954 1
0.3%
244588.625975144 1
0.3%
252522.675879447 1
0.3%
252890.333819401 1
0.3%
252940.836113488 1
0.3%
256124.315536988 1
0.3%
257069.566310941 1
0.3%
257286.897263086 1
0.3%
257494.679484101 1
0.3%
257852.235745702 1
0.3%
ValueCountFrequency (%)
291104.208543657 1
0.3%
277749.024028649 2
0.7%
273994.885718704 1
0.3%
273737.606850141 1
0.3%
273554.526036001 1
0.3%
272619.438481583 1
0.3%
272558.799360465 1
0.3%
272411.512876902 1
0.3%
272277.564167233 1
0.3%
271941.364327282 1
0.3%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
건강기능식품유통전문판매업
288 

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 288
100.0%

Length

2024-04-29T21:31:29.698992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:29.782955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 288
100.0%

남성종사자수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
161 
0
127 

Length

Max length4
Median length4
Mean length2.6770833
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 161
55.9%
0 127
44.1%

Length

2024-04-29T21:31:29.869898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:29.969116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 161
55.9%
0 127
44.1%

여성종사자수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
161 
0
127 

Length

Max length4
Median length4
Mean length2.6770833
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 161
55.9%
0 127
44.1%

Length

2024-04-29T21:31:30.062323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:30.151602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 161
55.9%
0 127
44.1%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

급수시설구분명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
250 
상수도전용
38 

Length

Max length5
Median length4
Mean length4.1319444
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 250
86.8%
상수도전용 38
 
13.2%

Length

2024-04-29T21:31:30.244833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:30.329114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 250
86.8%
상수도전용 38
 
13.2%

총직원수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
164 
0
124 

Length

Max length4
Median length4
Mean length2.7083333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 164
56.9%
0 124
43.1%

Length

2024-04-29T21:31:30.427495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:30.514095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 164
56.9%
0 124
43.1%

본사직원수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
230 
<NA>
57 
3
 
1

Length

Max length4
Median length1
Mean length1.59375
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 230
79.9%
<NA> 57
 
19.8%
3 1
 
0.3%

Length

2024-04-29T21:31:30.618072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:30.709452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 230
79.9%
na 57
 
19.8%
3 1
 
0.3%

공장사무직직원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
220 
<NA>
57 
1
 
9
2
 
2

Length

Max length4
Median length1
Mean length1.59375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 220
76.4%
<NA> 57
 
19.8%
1 9
 
3.1%
2 2
 
0.7%

Length

2024-04-29T21:31:30.820097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:30.937613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 220
76.4%
na 57
 
19.8%
1 9
 
3.1%
2 2
 
0.7%

공장판매직직원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
223 
<NA>
57 
1
 
6
2
 
2

Length

Max length4
Median length1
Mean length1.59375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 223
77.4%
<NA> 57
 
19.8%
1 6
 
2.1%
2 2
 
0.7%

Length

2024-04-29T21:31:31.039666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:31.136044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 223
77.4%
na 57
 
19.8%
1 6
 
2.1%
2 2
 
0.7%

공장생산직직원수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
231 
<NA>
57 

Length

Max length4
Median length1
Mean length1.59375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 231
80.2%
<NA> 57
 
19.8%

Length

2024-04-29T21:31:31.250496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:31.342970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 231
80.2%
na 57
 
19.8%

건물소유구분명
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
212 
자가
47 
임대
29 

Length

Max length4
Median length4
Mean length3.4722222
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> 212
73.6%
자가 47
 
16.3%
임대 29
 
10.1%

Length

2024-04-29T21:31:31.457396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:31.564026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 212
73.6%
자가 47
 
16.3%
임대 29
 
10.1%

보증액
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
161 
0
127 

Length

Max length4
Median length4
Mean length2.6770833
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 161
55.9%
0 127
44.1%

Length

2024-04-29T21:31:31.667187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:31.771851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 161
55.9%
0 127
44.1%

월세액
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
161 
0
127 

Length

Max length4
Median length4
Mean length2.6770833
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 161
55.9%
0 127
44.1%

Length

2024-04-29T21:31:31.869807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T21:31:31.970329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 161
55.9%
0 127
44.1%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
False
288 
ValueCountFrequency (%)
False 288
100.0%
2024-04-29T21:31:32.063625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1172569
Minimum0
Maximum377.92
Zeros268
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-04-29T21:31:32.145424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8.225
Maximum377.92
Range377.92
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.034288
Coefficient of variation (CV)6.5660921
Kurtosis132.51526
Mean4.1172569
Median Absolute Deviation (MAD)0
Skewness10.521417
Sum1185.77
Variance730.85274
MonotonicityNot monotonic
2024-04-29T21:31:32.249501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 268
93.1%
4.0 1
 
0.3%
149.0 1
 
0.3%
3.0 1
 
0.3%
5.18 1
 
0.3%
14.0 1
 
0.3%
2.4 1
 
0.3%
10.5 1
 
0.3%
9.1 1
 
0.3%
377.92 1
 
0.3%
Other values (11) 11
 
3.8%
ValueCountFrequency (%)
0.0 268
93.1%
2.4 1
 
0.3%
3.0 1
 
0.3%
4.0 1
 
0.3%
5.18 1
 
0.3%
6.6 1
 
0.3%
9.1 1
 
0.3%
10.0 1
 
0.3%
10.5 1
 
0.3%
14.0 1
 
0.3%
ValueCountFrequency (%)
377.92 1
0.3%
149.0 1
0.3%
118.14 1
0.3%
101.0 1
0.3%
100.0 1
0.3%
70.4 1
0.3%
64.9 1
0.3%
59.0 1
0.3%
32.4 1
0.3%
25.13 1
0.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing288
Missing (%)100.0%
Memory size2.7 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01건강기능식품유통전문판매업07_22_02_P34100003410000-135-2022-000042022-04-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0700-831대구광역시 중구 남산동 ****대구광역시 중구 달구벌대로 **** (남산동)41966주식회사알피에프2023-09-06 13:23:15I2023-09-08 00:18:18건강기능식품유통전문판매업343487.605344264025.381528건강기능식품유통전문판매업00<NA><NA>상수도전용00000<NA>00N0.0<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>6.71700-180대구광역시 중구 동문동 ****-**** *층대구광역시 중구 경상감영길 ***-*, *층 (동문동)41913오드니스2023-06-09 13:57:26U2023-06-11 02:40:00건강기능식품유통전문판매업344414.383782264628.790781건강기능식품유통전문판매업00<NA><NA><NA>00100<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_P34100003410000-135-2024-000012024-03-19<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>700-806대구광역시 중구 남산동 ****-**** *층 *호대구광역시 중구 남산로 **, *층 *호 (남산동)41975주식회사 페슬2024-03-19 10:46:53I2024-03-21 00:15:26건강기능식품유통전문판매업342826.756531263824.293143건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<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)41971윤상철그리포란2023-12-05 15:23:13U2023-12-07 02:40:00건강기능식품유통전문판매업343009.218633263321.424532건강기능식품유통전문판매업00<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
278279건강기능식품유통전문판매업07_22_02_P34800003480000-135-2022-000012022-02-16<NA>1영업/정상1영업<NA><NA><NA><NA>070469355971.0711-815대구광역시 달성군 다사읍 죽곡리 ***-* DS타운 *층대구광역시 달성군 다사읍 달구벌대로***길 **-*, DS타운 *층42918주식회사 잇츠어스2022-03-03 09:59:37U2022-03-05 02:40:00건강기능식품유통전문판매업332061.550912263080.473335건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
279280건강기능식품유통전문판매업07_22_02_P34800003480000-135-2017-000022017-09-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA>92.7711-812대구광역시 달성군 다사읍 매곡리 ****-* *층대구광역시 달성군 다사읍 왕선로*길 *, *층42910주식회사이앤에이치컴퍼니(ENH Company)2022-03-03 09:48:46U2022-03-05 02:40:00건강기능식품유통전문판매업332179.351493263519.301333건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
280281건강기능식품유통전문판매업07_22_02_P34800003480000-135-2021-000012021-10-20<NA>1영업/정상1영업<NA><NA><NA><NA><NA>55.0711-851대구광역시 달성군 논공읍 금포리 ****-*대구광역시 달성군 논공읍 비슬로***길 **42975비케이뉴트리션2021-11-17 17:39:37U2021-11-19 02:40:00건강기능식품유통전문판매업328311.018298252940.836113건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
281282건강기능식품유통전문판매업07_22_02_P34800003480000-135-2021-000022021-06-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0711-851대구광역시 달성군 논공읍 금포리 ****-* *층대구광역시 달성군 논공읍 금강로*길 **-*, *층42974더(The)청송2021-11-02 10:43:29I2021-11-04 00:22:45건강기능식품유통전문판매업<NA><NA>건강기능식품유통전문판매업00<NA><NA><NA>00000자가00N0.0<NA><NA><NA>
282283건강기능식품유통전문판매업07_22_02_P34800003480000-135-2022-000022022-02-03<NA>1영업/정상1영업<NA><NA><NA><NA>053 6546977<NA><NA>대구광역시 달성군 현풍읍 중리 *** 대구테크노폴리스 서한이다음대구광역시 달성군 현풍읍 테크노상업로 **, ***동 ****호 (대구테크노폴리스 서한이다음)42995이전한방연구회2023-03-03 13:45:27I2023-03-05 00:42:01건강기능식품유통전문판매업331283.896888244588.625975건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
283284건강기능식품유통전문판매업07_22_02_P34800003480000-135-2024-000012024-03-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>711-821대구광역시 달성군 하빈면 하산리 ***대구광역시 달성군 하빈면 하산*길 **-**42900동영텍스2024-03-04 12:48:08I2024-03-06 00:15:38건강기능식품유통전문판매업326898.63895266073.304447건강기능식품유통전문판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
284285건강기능식품유통전문판매업07_22_02_P34800003480000-135-2020-000022020-07-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>711-823대구광역시 달성군 하빈면 봉촌리 ****-** *층대구광역시 달성군 하빈면 하빈남로 ***, *층42905씨케이물산(CK물산)2020-07-02 14:53:26I2020-07-04 00:23:24건강기능식품유통전문판매업325937.566452264191.450599건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
285286건강기능식품유통전문판매업07_22_02_P34800003480000-135-2021-000042021-04-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA>116.0711-814대구광역시 달성군 다사읍 세천리 ****-*대구광역시 달성군 다사읍 세천로**길 **42922태광2023-02-14 13:21:48U2023-02-16 02:40:00건강기능식품유통전문판매업332987.039749264990.963906건강기능식품유통전문판매업00<NA><NA><NA>00000자가00N0.0<NA><NA><NA>
286287건강기능식품유통전문판매업07_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>
287288건강기능식품유통전문판매업07_22_02_P51410005141000-135-2015-000012015-11-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA>8.74<NA>대구광역시 군위군 산성면 무암리 ***-*대구광역시 군위군 산성면 옥정길 **-*43159이진숙의 경북군위꿀2015-12-01 14:25:31I2023-07-01 16:42:10건강기능식품유통전문판매업353421.49995291104.208544건강기능식품유통전문판매업00<NA><NA>상수도전용00000자가00N0.0<NA><NA><NA>