Overview

Dataset statistics

Number of variables48
Number of observations312
Missing cells3930
Missing cells (%)26.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory126.6 KiB
Average record size in memory415.4 B

Variable types

Numeric10
Categorical19
Text6
Unsupported11
DateTime1
Boolean1

Dataset

Description2021-03-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123095

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
업태구분명 has constant value ""Constant
위생업태명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (94.4%)Imbalance
여성종사자수 is highly imbalanced (94.4%)Imbalance
급수시설구분명 is highly imbalanced (64.4%)Imbalance
보증액 is highly imbalanced (79.5%)Imbalance
월세액 is highly imbalanced (79.5%)Imbalance
인허가취소일자 has 312 (100.0%) missing valuesMissing
폐업일자 has 117 (37.5%) missing valuesMissing
휴업시작일자 has 312 (100.0%) missing valuesMissing
휴업종료일자 has 312 (100.0%) missing valuesMissing
재개업일자 has 312 (100.0%) missing valuesMissing
소재지전화 has 100 (32.1%) missing valuesMissing
소재지면적 has 129 (41.3%) missing valuesMissing
소재지우편번호 has 8 (2.6%) missing valuesMissing
도로명전체주소 has 67 (21.5%) missing valuesMissing
도로명우편번호 has 68 (21.8%) missing valuesMissing
좌표정보(x) has 4 (1.3%) missing valuesMissing
좌표정보(y) has 4 (1.3%) missing valuesMissing
영업장주변구분명 has 312 (100.0%) missing valuesMissing
등급구분명 has 312 (100.0%) missing valuesMissing
총종업원수 has 312 (100.0%) missing valuesMissing
전통업소지정번호 has 312 (100.0%) missing valuesMissing
전통업소주된음식 has 312 (100.0%) missing valuesMissing
홈페이지 has 312 (100.0%) missing valuesMissing
Unnamed: 47 has 312 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 47 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설총규모 has 285 (91.3%) zerosZeros

Reproduction

Analysis started2024-04-16 15:10:46.858421
Analysis finished2024-04-16 15:10:47.556568
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct312
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.5
Minimum1
Maximum312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:47.612756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.55
Q178.75
median156.5
Q3234.25
95-th percentile296.45
Maximum312
Range311
Interquartile range (IQR)155.5

Descriptive statistics

Standard deviation90.210864
Coefficient of variation (CV)0.57642725
Kurtosis-1.2
Mean156.5
Median Absolute Deviation (MAD)78
Skewness0
Sum48828
Variance8138
MonotonicityStrictly increasing
2024-04-17T00:10:47.716620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
207 1
 
0.3%
214 1
 
0.3%
213 1
 
0.3%
212 1
 
0.3%
211 1
 
0.3%
210 1
 
0.3%
209 1
 
0.3%
208 1
 
0.3%
206 1
 
0.3%
Other values (302) 302
96.8%
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 (%)
312 1
0.3%
311 1
0.3%
310 1
0.3%
309 1
0.3%
308 1
0.3%
307 1
0.3%
306 1
0.3%
305 1
0.3%
304 1
0.3%
303 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
건강기능식품유통전문판매업
312 

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 312
100.0%

Length

2024-04-17T00:10:47.825937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:47.913678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 312
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
07_22_02_P
312 

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 312
100.0%

Length

2024-04-17T00:10:48.007754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:48.091868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_02_p 312
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3329455.1
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:48.175662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3260000
Q13290000
median3330000
Q33370000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)80000

Descriptive statistics

Standard deviation43784.307
Coefficient of variation (CV)0.013150592
Kurtosis-1.192673
Mean3329455.1
Median Absolute Deviation (MAD)40000
Skewness0.048255815
Sum1.03879 × 109
Variance1.9170655 × 109
MonotonicityNot monotonic
2024-04-17T00:10:48.292215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 56
17.9%
3370000 39
12.5%
3330000 37
11.9%
3300000 31
9.9%
3390000 26
8.3%
3400000 21
 
6.7%
3350000 19
 
6.1%
3270000 15
 
4.8%
3310000 13
 
4.2%
3250000 12
 
3.8%
Other values (6) 43
13.8%
ValueCountFrequency (%)
3250000 12
 
3.8%
3260000 7
 
2.2%
3270000 15
 
4.8%
3280000 3
 
1.0%
3290000 56
17.9%
3300000 31
9.9%
3310000 13
 
4.2%
3320000 6
 
1.9%
3330000 37
11.9%
3340000 8
 
2.6%
ValueCountFrequency (%)
3400000 21
6.7%
3390000 26
8.3%
3380000 10
 
3.2%
3370000 39
12.5%
3360000 9
 
2.9%
3350000 19
6.1%
3340000 8
 
2.6%
3330000 37
11.9%
3320000 6
 
1.9%
3310000 13
 
4.2%

관리번호
Text

UNIQUE 

Distinct312
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-17T00:10:48.469088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters6864
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

Unique312 ?
Unique (%)100.0%

Sample

1st row3250000-135-2019-00001
2nd row3250000-135-2017-00002
3rd row3250000-135-2019-00002
4th row3250000-135-2019-00003
5th row3250000-135-2015-00001
ValueCountFrequency (%)
3250000-135-2019-00001 1
 
0.3%
3310000-135-2014-00003 1
 
0.3%
3330000-135-2008-00001 1
 
0.3%
3320000-135-2005-00001 1
 
0.3%
3320000-135-2015-00001 1
 
0.3%
3320000-135-2006-00001 1
 
0.3%
3310000-135-2017-00001 1
 
0.3%
3310000-135-2014-00002 1
 
0.3%
3330000-135-2016-00003 1
 
0.3%
3310000-135-2013-00001 1
 
0.3%
Other values (302) 302
96.8%
2024-04-17T00:10:48.747885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2993
43.6%
- 936
 
13.6%
3 915
 
13.3%
1 684
 
10.0%
2 533
 
7.8%
5 386
 
5.6%
9 127
 
1.9%
4 102
 
1.5%
7 85
 
1.2%
6 54
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5928
86.4%
Dash Punctuation 936
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2993
50.5%
3 915
 
15.4%
1 684
 
11.5%
2 533
 
9.0%
5 386
 
6.5%
9 127
 
2.1%
4 102
 
1.7%
7 85
 
1.4%
6 54
 
0.9%
8 49
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 936
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6864
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2993
43.6%
- 936
 
13.6%
3 915
 
13.3%
1 684
 
10.0%
2 533
 
7.8%
5 386
 
5.6%
9 127
 
1.9%
4 102
 
1.5%
7 85
 
1.2%
6 54
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6864
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2993
43.6%
- 936
 
13.6%
3 915
 
13.3%
1 684
 
10.0%
2 533
 
7.8%
5 386
 
5.6%
9 127
 
1.9%
4 102
 
1.5%
7 85
 
1.2%
6 54
 
0.8%

인허가일자
Real number (ℝ)

Distinct273
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20132765
Minimum20040409
Maximum20210111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:48.918482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040409
5-th percentile20040966
Q120090692
median20140728
Q320180141
95-th percentile20200772
Maximum20210111
Range169702
Interquartile range (IQR)89449.5

Descriptive statistics

Standard deviation51635.238
Coefficient of variation (CV)0.0025647366
Kurtosis-1.0985826
Mean20132765
Median Absolute Deviation (MAD)40157
Skewness-0.37041547
Sum6.2814225 × 109
Variance2.6661978 × 109
MonotonicityNot monotonic
2024-04-17T00:10:49.102121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20140730 3
 
1.0%
20160331 3
 
1.0%
20091012 3
 
1.0%
20150330 3
 
1.0%
20140509 3
 
1.0%
20130422 2
 
0.6%
20140102 2
 
0.6%
20141112 2
 
0.6%
20140710 2
 
0.6%
20090714 2
 
0.6%
Other values (263) 287
92.0%
ValueCountFrequency (%)
20040409 1
0.3%
20040527 1
0.3%
20040604 1
0.3%
20040610 1
0.3%
20040616 2
0.6%
20040617 1
0.3%
20040619 1
0.3%
20040630 1
0.3%
20040712 1
0.3%
20040723 1
0.3%
ValueCountFrequency (%)
20210111 1
0.3%
20210107 1
0.3%
20210104 1
0.3%
20201230 1
0.3%
20201222 1
0.3%
20201215 1
0.3%
20201209 1
0.3%
20201113 2
0.6%
20201028 1
0.3%
20201020 1
0.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing312
Missing (%)100.0%
Memory size2.9 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
3
195 
1
117 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 195
62.5%
1 117
37.5%

Length

2024-04-17T00:10:49.245530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:49.344690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 195
62.5%
1 117
37.5%

영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
폐업
195 
영업/정상
117 

Length

Max length5
Median length2
Mean length3.125
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 195
62.5%
영업/정상 117
37.5%

Length

2024-04-17T00:10:49.445223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:49.530653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 195
62.5%
영업/정상 117
37.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2
195 
1
117 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 195
62.5%
1 117
37.5%

Length

2024-04-17T00:10:49.621254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:49.702075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 195
62.5%
1 117
37.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
폐업
195 
영업
117 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 195
62.5%
영업 117
37.5%

Length

2024-04-17T00:10:49.781486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:49.861618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 195
62.5%
영업 117
37.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct178
Distinct (%)91.3%
Missing117
Missing (%)37.5%
Infinite0
Infinite (%)0.0%
Mean20143665
Minimum20040921
Maximum20210122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:49.963518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040921
5-th percentile20057443
Q120100426
median20151230
Q320185670
95-th percentile20200751
Maximum20210122
Range169201
Interquartile range (IQR)85245

Descriptive statistics

Standard deviation46723.532
Coefficient of variation (CV)0.002319515
Kurtosis-1.0658675
Mean20143665
Median Absolute Deviation (MAD)39499
Skewness-0.43716947
Sum3.9280146 × 109
Variance2.1830885 × 109
MonotonicityNot monotonic
2024-04-17T00:10:50.114690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190708 4
 
1.3%
20100409 3
 
1.0%
20100406 2
 
0.6%
20100324 2
 
0.6%
20171229 2
 
0.6%
20100430 2
 
0.6%
20181228 2
 
0.6%
20200617 2
 
0.6%
20100225 2
 
0.6%
20100319 2
 
0.6%
Other values (168) 172
55.1%
(Missing) 117
37.5%
ValueCountFrequency (%)
20040921 1
0.3%
20050128 1
0.3%
20050228 1
0.3%
20050323 1
0.3%
20050517 1
0.3%
20050629 1
0.3%
20050701 1
0.3%
20050705 1
0.3%
20051006 1
0.3%
20051206 1
0.3%
ValueCountFrequency (%)
20210122 1
0.3%
20210115 1
0.3%
20210106 2
0.6%
20201202 1
0.3%
20201201 1
0.3%
20201105 1
0.3%
20201021 1
0.3%
20200925 1
0.3%
20200821 1
0.3%
20200721 1
0.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing312
Missing (%)100.0%
Memory size2.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing312
Missing (%)100.0%
Memory size2.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing312
Missing (%)100.0%
Memory size2.9 KiB

소재지전화
Text

MISSING 

Distinct183
Distinct (%)86.3%
Missing100
Missing (%)32.1%
Memory size2.6 KiB
2024-04-17T00:10:50.384317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.349057
Min length7

Characters and Unicode

Total characters2406
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

Unique158 ?
Unique (%)74.5%

Sample

1st row051 442 4046
2nd row051 245 1066
3rd row15882838
4th row051 466 5168
5th row070 82277940
ValueCountFrequency (%)
051 158
30.9%
070 23
 
4.5%
751 6
 
1.2%
507 4
 
0.8%
8946 4
 
0.8%
806 4
 
0.8%
8687 3
 
0.6%
9004058 3
 
0.6%
76054103 3
 
0.6%
747 3
 
0.6%
Other values (257) 300
58.7%
2024-04-17T00:10:51.001276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 399
16.6%
5 333
13.8%
1 323
13.4%
303
12.6%
7 204
8.5%
8 168
7.0%
2 146
 
6.1%
6 144
 
6.0%
4 138
 
5.7%
3 134
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2103
87.4%
Space Separator 303
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 399
19.0%
5 333
15.8%
1 323
15.4%
7 204
9.7%
8 168
8.0%
2 146
 
6.9%
6 144
 
6.8%
4 138
 
6.6%
3 134
 
6.4%
9 114
 
5.4%
Space Separator
ValueCountFrequency (%)
303
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2406
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 399
16.6%
5 333
13.8%
1 323
13.4%
303
12.6%
7 204
8.5%
8 168
7.0%
2 146
 
6.1%
6 144
 
6.0%
4 138
 
5.7%
3 134
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2406
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 399
16.6%
5 333
13.8%
1 323
13.4%
303
12.6%
7 204
8.5%
8 168
7.0%
2 146
 
6.1%
6 144
 
6.0%
4 138
 
5.7%
3 134
 
5.6%

소재지면적
Text

MISSING 

Distinct160
Distinct (%)87.4%
Missing129
Missing (%)41.3%
Memory size2.6 KiB
2024-04-17T00:10:51.312493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.2185792
Min length3

Characters and Unicode

Total characters955
Distinct characters12
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

Unique146 ?
Unique (%)79.8%

Sample

1st row66.00
2nd row49.50
3rd row19.40
4th row1,584.00
5th row30.00
ValueCountFrequency (%)
00 6
 
3.3%
66.00 4
 
2.2%
90.00 3
 
1.6%
133.49 3
 
1.6%
100.00 3
 
1.6%
23.03 2
 
1.1%
25.83 2
 
1.1%
102.30 2
 
1.1%
24.00 2
 
1.1%
33.00 2
 
1.1%
Other values (150) 154
84.2%
2024-04-17T00:10:51.741815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 193
20.2%
. 183
19.2%
1 94
9.8%
2 76
 
8.0%
3 71
 
7.4%
5 70
 
7.3%
4 65
 
6.8%
6 57
 
6.0%
8 50
 
5.2%
9 48
 
5.0%
Other values (2) 48
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 771
80.7%
Other Punctuation 184
 
19.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 193
25.0%
1 94
12.2%
2 76
 
9.9%
3 71
 
9.2%
5 70
 
9.1%
4 65
 
8.4%
6 57
 
7.4%
8 50
 
6.5%
9 48
 
6.2%
7 47
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 183
99.5%
, 1
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 955
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 193
20.2%
. 183
19.2%
1 94
9.8%
2 76
 
8.0%
3 71
 
7.4%
5 70
 
7.3%
4 65
 
6.8%
6 57
 
6.0%
8 50
 
5.2%
9 48
 
5.0%
Other values (2) 48
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 955
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 193
20.2%
. 183
19.2%
1 94
9.8%
2 76
 
8.0%
3 71
 
7.4%
5 70
 
7.3%
4 65
 
6.8%
6 57
 
6.0%
8 50
 
5.2%
9 48
 
5.0%
Other values (2) 48
 
5.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct194
Distinct (%)63.8%
Missing8
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean611710.04
Minimum600025
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:51.866298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600025
5-th percentile601809.5
Q1608080
median612050
Q3614850
95-th percentile618813.25
Maximum619952
Range19927
Interquartile range (IQR)6770

Descriptive statistics

Standard deviation5037.3313
Coefficient of variation (CV)0.0082348351
Kurtosis-0.27015414
Mean611710.04
Median Absolute Deviation (MAD)2814
Skewness-0.56263697
Sum1.8595985 × 108
Variance25374707
MonotonicityNot monotonic
2024-04-17T00:10:51.994639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
612824 8
 
2.6%
612050 5
 
1.6%
611839 5
 
1.6%
614853 5
 
1.6%
612020 5
 
1.6%
611831 4
 
1.3%
614854 4
 
1.3%
614836 4
 
1.3%
600816 4
 
1.3%
614847 4
 
1.3%
Other values (184) 256
82.1%
(Missing) 8
 
2.6%
ValueCountFrequency (%)
600025 1
 
0.3%
600046 1
 
0.3%
600101 2
0.6%
600814 2
0.6%
600815 2
0.6%
600816 4
1.3%
601719 1
 
0.3%
601803 1
 
0.3%
601806 1
 
0.3%
601808 1
 
0.3%
ValueCountFrequency (%)
619952 2
0.6%
619951 3
1.0%
619913 1
 
0.3%
619912 3
1.0%
619904 2
0.6%
619903 2
0.6%
619872 1
 
0.3%
618817 1
 
0.3%
618814 1
 
0.3%
618809 2
0.6%

소재지전체주소
Text

Distinct298
Distinct (%)95.8%
Missing1
Missing (%)0.3%
Memory size2.6 KiB
2024-04-17T00:10:52.202144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length25.913183
Min length16

Characters and Unicode

Total characters8059
Distinct characters244
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

Unique286 ?
Unique (%)92.0%

Sample

1st row부산광역시 중구 동광동5가 19-13번지
2nd row부산광역시 중구 중앙동4가 79-1번지
3rd row부산광역시 중구 중앙동4가 78-2번지
4th row부산광역시 중구 대창동1가 54-1번지 센트렐오피스텔
5th row부산광역시 중구 중앙동4가 17-7번지
ValueCountFrequency (%)
부산광역시 311
 
20.6%
부산진구 56
 
3.7%
연제구 39
 
2.6%
해운대구 37
 
2.5%
동래구 31
 
2.1%
연산동 30
 
2.0%
사상구 27
 
1.8%
기장군 21
 
1.4%
우동 19
 
1.3%
금정구 18
 
1.2%
Other values (544) 920
61.0%
2024-04-17T00:10:52.537551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1198
 
14.9%
산 415
 
5.1%
부 406
 
5.0%
1 379
 
4.7%
동 358
 
4.4%
시 322
 
4.0%
광 320
 
4.0%
역 311
 
3.9%
구 303
 
3.8%
지 290
 
3.6%
Other values (234) 3757
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4887
60.6%
Decimal Number 1644
 
20.4%
Space Separator 1198
 
14.9%
Dash Punctuation 262
 
3.3%
Open Punctuation 21
 
0.3%
Close Punctuation 21
 
0.3%
Uppercase Letter 17
 
0.2%
Other Punctuation 7
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 415
 
8.5%
부 406
 
8.3%
동 358
 
7.3%
시 322
 
6.6%
광 320
 
6.5%
역 311
 
6.4%
구 303
 
6.2%
지 290
 
5.9%
번 270
 
5.5%
연 81
 
1.7%
Other values (209) 1811
37.1%
Decimal Number
ValueCountFrequency (%)
1 379
23.1%
3 194
11.8%
2 189
11.5%
4 165
10.0%
5 161
9.8%
0 148
 
9.0%
7 114
 
6.9%
6 109
 
6.6%
9 95
 
5.8%
8 90
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 5
29.4%
I 4
23.5%
S 3
17.6%
C 1
 
5.9%
A 1
 
5.9%
T 1
 
5.9%
O 1
 
5.9%
F 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
/ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1198
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 262
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4887
60.6%
Common 3153
39.1%
Latin 19
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 415
 
8.5%
부 406
 
8.3%
동 358
 
7.3%
시 322
 
6.6%
광 320
 
6.5%
역 311
 
6.4%
구 303
 
6.2%
지 290
 
5.9%
번 270
 
5.5%
연 81
 
1.7%
Other values (209) 1811
37.1%
Common
ValueCountFrequency (%)
1198
38.0%
1 379
 
12.0%
- 262
 
8.3%
3 194
 
6.2%
2 189
 
6.0%
4 165
 
5.2%
5 161
 
5.1%
0 148
 
4.7%
7 114
 
3.6%
6 109
 
3.5%
Other values (6) 234
 
7.4%
Latin
ValueCountFrequency (%)
B 5
26.3%
I 4
21.1%
S 3
15.8%
e 2
 
10.5%
C 1
 
5.3%
A 1
 
5.3%
T 1
 
5.3%
O 1
 
5.3%
F 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4887
60.6%
ASCII 3172
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1198
37.8%
1 379
 
11.9%
- 262
 
8.3%
3 194
 
6.1%
2 189
 
6.0%
4 165
 
5.2%
5 161
 
5.1%
0 148
 
4.7%
7 114
 
3.6%
6 109
 
3.4%
Other values (15) 253
 
8.0%
Hangul
ValueCountFrequency (%)
산 415
 
8.5%
부 406
 
8.3%
동 358
 
7.3%
시 322
 
6.6%
광 320
 
6.5%
역 311
 
6.4%
구 303
 
6.2%
지 290
 
5.9%
번 270
 
5.5%
연 81
 
1.7%
Other values (209) 1811
37.1%

도로명전체주소
Text

MISSING 

Distinct237
Distinct (%)96.7%
Missing67
Missing (%)21.5%
Memory size2.6 KiB
2024-04-17T00:10:52.838086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length45
Mean length33.273469
Min length21

Characters and Unicode

Total characters8152
Distinct characters278
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique230 ?
Unique (%)93.9%

Sample

1st row부산광역시 중구 샘길 1, 지하 1층 (동광동5가)
2nd row부산광역시 중구 충장대로9번길 52, 17층 1710호 (중앙동4가, 마린센터빌딩)
3rd row부산광역시 중구 충장대로9번길 55, 5층 1호 (중앙동4가)
4th row부산광역시 중구 중앙대로 131, 센트렐오피스텔 3층 (대창동1가)
5th row부산광역시 중구 대청로155번길 6, 2층 (중앙동4가)
ValueCountFrequency (%)
부산광역시 245
 
15.6%
부산진구 42
 
2.7%
2층 33
 
2.1%
연제구 31
 
2.0%
해운대구 30
 
1.9%
1층 26
 
1.7%
동래구 24
 
1.5%
3층 24
 
1.5%
연산동 23
 
1.5%
사상구 20
 
1.3%
Other values (615) 1073
68.3%
2024-04-17T00:10:53.273458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1328
 
16.3%
산 334
 
4.1%
부 326
 
4.0%
동 299
 
3.7%
1 298
 
3.7%
시 273
 
3.3%
광 261
 
3.2%
, 252
 
3.1%
역 245
 
3.0%
구 243
 
3.0%
Other values (268) 4293
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4733
58.1%
Space Separator 1328
 
16.3%
Decimal Number 1294
 
15.9%
Other Punctuation 254
 
3.1%
Open Punctuation 239
 
2.9%
Close Punctuation 239
 
2.9%
Dash Punctuation 33
 
0.4%
Uppercase Letter 28
 
0.3%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 334
 
7.1%
부 326
 
6.9%
동 299
 
6.3%
시 273
 
5.8%
광 261
 
5.5%
역 245
 
5.2%
구 243
 
5.1%
로 236
 
5.0%
층 156
 
3.3%
대 141
 
3.0%
Other values (235) 2219
46.9%
Uppercase Letter
ValueCountFrequency (%)
B 10
35.7%
A 4
 
14.3%
S 3
 
10.7%
H 2
 
7.1%
I 2
 
7.1%
T 1
 
3.6%
O 1
 
3.6%
U 1
 
3.6%
K 1
 
3.6%
E 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 298
23.0%
2 202
15.6%
3 156
12.1%
0 133
10.3%
4 107
 
8.3%
5 95
 
7.3%
7 95
 
7.3%
8 72
 
5.6%
6 72
 
5.6%
9 64
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 252
99.2%
* 1
 
0.4%
/ 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 238
99.6%
[ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 238
99.6%
] 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1328
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4733
58.1%
Common 3388
41.6%
Latin 31
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 334
 
7.1%
부 326
 
6.9%
동 299
 
6.3%
시 273
 
5.8%
광 261
 
5.5%
역 245
 
5.2%
구 243
 
5.1%
로 236
 
5.0%
층 156
 
3.3%
대 141
 
3.0%
Other values (235) 2219
46.9%
Common
ValueCountFrequency (%)
1328
39.2%
1 298
 
8.8%
, 252
 
7.4%
( 238
 
7.0%
) 238
 
7.0%
2 202
 
6.0%
3 156
 
4.6%
0 133
 
3.9%
4 107
 
3.2%
5 95
 
2.8%
Other values (10) 341
 
10.1%
Latin
ValueCountFrequency (%)
B 10
32.3%
A 4
 
12.9%
S 3
 
9.7%
e 3
 
9.7%
H 2
 
6.5%
I 2
 
6.5%
T 1
 
3.2%
O 1
 
3.2%
U 1
 
3.2%
K 1
 
3.2%
Other values (3) 3
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4733
58.1%
ASCII 3419
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1328
38.8%
1 298
 
8.7%
, 252
 
7.4%
( 238
 
7.0%
) 238
 
7.0%
2 202
 
5.9%
3 156
 
4.6%
0 133
 
3.9%
4 107
 
3.1%
5 95
 
2.8%
Other values (23) 372
 
10.9%
Hangul
ValueCountFrequency (%)
산 334
 
7.1%
부 326
 
6.9%
동 299
 
6.3%
시 273
 
5.8%
광 261
 
5.5%
역 245
 
5.2%
구 243
 
5.1%
로 236
 
5.0%
층 156
 
3.3%
대 141
 
3.0%
Other values (235) 2219
46.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct190
Distinct (%)77.9%
Missing68
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean47578.32
Minimum46006
Maximum49516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:53.392216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46006
5-th percentile46048
Q147025
median47549.5
Q348095
95-th percentile49216.85
Maximum49516
Range3510
Interquartile range (IQR)1070

Descriptive statistics

Standard deviation878.68109
Coefficient of variation (CV)0.018468099
Kurtosis-0.49820363
Mean47578.32
Median Absolute Deviation (MAD)543
Skewness0.096816803
Sum11609110
Variance772080.47
MonotonicityNot monotonic
2024-04-17T00:10:53.505576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48092 7
 
2.2%
48059 7
 
2.2%
46048 3
 
1.0%
47229 3
 
1.0%
47284 3
 
1.0%
48095 3
 
1.0%
46983 3
 
1.0%
46023 2
 
0.6%
47542 2
 
0.6%
46230 2
 
0.6%
Other values (180) 209
67.0%
(Missing) 68
 
21.8%
ValueCountFrequency (%)
46006 1
 
0.3%
46008 1
 
0.3%
46020 1
 
0.3%
46022 1
 
0.3%
46023 2
0.6%
46026 1
 
0.3%
46028 1
 
0.3%
46034 2
0.6%
46037 2
0.6%
46048 3
1.0%
ValueCountFrequency (%)
49516 1
0.3%
49455 1
0.3%
49402 1
0.3%
49345 1
0.3%
49325 1
0.3%
49324 1
0.3%
49315 1
0.3%
49277 1
0.3%
49263 1
0.3%
49241 1
0.3%

사업장명
Text

Distinct272
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-17T00:10:53.685633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length7.6089744
Min length2

Characters and Unicode

Total characters2374
Distinct characters332
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

Unique238 ?
Unique (%)76.3%

Sample

1st row영롱
2nd row청강지엘에스(주)
3rd row주식회사영롱(YoungLong Corp.)
4th row주식회사바이오맥스인터내셔널
5th row(주)청운플러스
ValueCountFrequency (%)
주식회사 21
 
5.8%
에스엠생명공학(주 3
 
0.8%
백산유통 3
 
0.8%
허브플렛폼 3
 
0.8%
주)드림컴퍼니 3
 
0.8%
삼성바이오팜 3
 
0.8%
네이쳐푸드 3
 
0.8%
주)탑프라임 2
 
0.6%
지에스피주식회사 2
 
0.6%
푸드럭주식회사 2
 
0.6%
Other values (289) 318
87.6%
2024-04-17T00:10:53.973556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 176
 
7.4%
) 153
 
6.4%
( 149
 
6.3%
이 117
 
4.9%
스 65
 
2.7%
에 52
 
2.2%
51
 
2.1%
사 50
 
2.1%
식 44
 
1.9%
오 42
 
1.8%
Other values (322) 1475
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1922
81.0%
Close Punctuation 153
 
6.4%
Open Punctuation 149
 
6.3%
Uppercase Letter 57
 
2.4%
Space Separator 51
 
2.1%
Lowercase Letter 25
 
1.1%
Decimal Number 10
 
0.4%
Other Punctuation 6
 
0.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 176
 
9.2%
이 117
 
6.1%
스 65
 
3.4%
에 52
 
2.7%
사 50
 
2.6%
식 44
 
2.3%
오 42
 
2.2%
바 41
 
2.1%
회 37
 
1.9%
리 28
 
1.5%
Other values (283) 1270
66.1%
Uppercase Letter
ValueCountFrequency (%)
C 5
 
8.8%
N 5
 
8.8%
L 4
 
7.0%
A 4
 
7.0%
R 4
 
7.0%
S 4
 
7.0%
B 3
 
5.3%
G 3
 
5.3%
E 3
 
5.3%
O 3
 
5.3%
Other values (10) 19
33.3%
Lowercase Letter
ValueCountFrequency (%)
o 5
20.0%
u 4
16.0%
r 3
12.0%
g 2
 
8.0%
a 2
 
8.0%
t 2
 
8.0%
n 2
 
8.0%
e 2
 
8.0%
p 1
 
4.0%
s 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 5
50.0%
2 5
50.0%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
& 2
33.3%
Close Punctuation
ValueCountFrequency (%)
) 153
100.0%
Open Punctuation
ValueCountFrequency (%)
( 149
100.0%
Space Separator
ValueCountFrequency (%)
51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1922
81.0%
Common 370
 
15.6%
Latin 82
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 176
 
9.2%
이 117
 
6.1%
스 65
 
3.4%
에 52
 
2.7%
사 50
 
2.6%
식 44
 
2.3%
오 42
 
2.2%
바 41
 
2.1%
회 37
 
1.9%
리 28
 
1.5%
Other values (283) 1270
66.1%
Latin
ValueCountFrequency (%)
C 5
 
6.1%
o 5
 
6.1%
N 5
 
6.1%
L 4
 
4.9%
A 4
 
4.9%
u 4
 
4.9%
R 4
 
4.9%
S 4
 
4.9%
B 3
 
3.7%
G 3
 
3.7%
Other values (21) 41
50.0%
Common
ValueCountFrequency (%)
) 153
41.4%
( 149
40.3%
51
 
13.8%
1 5
 
1.4%
2 5
 
1.4%
. 4
 
1.1%
& 2
 
0.5%
- 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1922
81.0%
ASCII 452
 
19.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 176
 
9.2%
이 117
 
6.1%
스 65
 
3.4%
에 52
 
2.7%
사 50
 
2.6%
식 44
 
2.3%
오 42
 
2.2%
바 41
 
2.1%
회 37
 
1.9%
리 28
 
1.5%
Other values (283) 1270
66.1%
ASCII
ValueCountFrequency (%)
) 153
33.8%
( 149
33.0%
51
 
11.3%
C 5
 
1.1%
o 5
 
1.1%
N 5
 
1.1%
1 5
 
1.1%
2 5
 
1.1%
L 4
 
0.9%
A 4
 
0.9%
Other values (29) 66
14.6%

최종수정시점
Real number (ℝ)

Distinct309
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0153469 × 1013
Minimum2.0040409 × 1013
Maximum2.0210122 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:54.091343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040409 × 1013
5-th percentile2.0041122 × 1013
Q12.0111187 × 1013
median2.0180167 × 1013
Q32.0191209 × 1013
95-th percentile2.0201202 × 1013
Maximum2.0210122 × 1013
Range1.6971312 × 1011
Interquartile range (IQR)8.0022252 × 1010

Descriptive statistics

Standard deviation5.1869897 × 1010
Coefficient of variation (CV)0.0025737454
Kurtosis-0.46331481
Mean2.0153469 × 1013
Median Absolute Deviation (MAD)2.0555999 × 1010
Skewness-0.93128339
Sum6.2878822 × 1015
Variance2.6904863 × 1021
MonotonicityNot monotonic
2024-04-17T00:10:54.238996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20130412101316 2
 
0.6%
20060724000000 2
 
0.6%
20040930000000 2
 
0.6%
20190731161744 1
 
0.3%
20170713145826 1
 
0.3%
20090901170458 1
 
0.3%
20080822173522 1
 
0.3%
20091030175613 1
 
0.3%
20150422183004 1
 
0.3%
20110531134619 1
 
0.3%
Other values (299) 299
95.8%
ValueCountFrequency (%)
20040409000000 1
0.3%
20040610000000 1
0.3%
20040616000000 1
0.3%
20040619000000 1
0.3%
20040712000000 1
0.3%
20040723000000 1
0.3%
20040726000000 1
0.3%
20040803000000 1
0.3%
20040819000000 1
0.3%
20040924000000 1
0.3%
ValueCountFrequency (%)
20210122115048 1
0.3%
20210122114728 1
0.3%
20210115153633 1
0.3%
20210113152542 1
0.3%
20210111161003 1
0.3%
20210111141910 1
0.3%
20210107141947 1
0.3%
20210106151725 1
0.3%
20210106105745 1
0.3%
20201228114036 1
0.3%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
I
203 
U
109 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 203
65.1%
U 109
34.9%

Length

2024-04-17T00:10:54.362487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:54.465544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 203
65.1%
u 109
34.9%

데이터갱신일자
Date

Distinct124
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-24 02:40:00
2024-04-17T00:10:54.556079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T00:10:54.684141image/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 size2.6 KiB
건강기능식품유통전문판매업
312 

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 312
100.0%

Length

2024-04-17T00:10:54.814073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:54.892560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 312
100.0%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct263
Distinct (%)85.4%
Missing4
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean388872.36
Minimum367538.38
Maximum406963.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:54.978005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367538.38
5-th percentile380069.05
Q1385817.64
median388642.28
Q3391497.27
95-th percentile398705.14
Maximum406963.42
Range39425.045
Interquartile range (IQR)5679.625

Descriptive statistics

Standard deviation5682.1489
Coefficient of variation (CV)0.014611861
Kurtosis1.2616005
Mean388872.36
Median Absolute Deviation (MAD)2851.7963
Skewness0.27982609
Sum1.1977269 × 108
Variance32286816
MonotonicityNot monotonic
2024-04-17T00:10:55.107636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
395615.201853958 7
 
2.2%
393527.757337839 3
 
1.0%
402792.323019555 3
 
1.0%
381227.565326214 3
 
1.0%
382570.401135476 3
 
1.0%
389448.18197321 3
 
1.0%
393963.840834294 3
 
1.0%
391796.495138673 3
 
1.0%
381976.021596673 2
 
0.6%
391411.212179843 2
 
0.6%
Other values (253) 276
88.5%
(Missing) 4
 
1.3%
ValueCountFrequency (%)
367538.377345509 1
0.3%
373570.222207964 1
0.3%
374874.044714515 1
0.3%
376542.257914264 1
0.3%
376834.448188669 1
0.3%
377224.862832896 1
0.3%
378537.647147461 1
0.3%
379052.480675244 1
0.3%
379122.254409162 1
0.3%
379248.242352775 1
0.3%
ValueCountFrequency (%)
406963.422489117 2
0.6%
405473.118789319 1
 
0.3%
404298.494103579 1
 
0.3%
403961.027640621 1
 
0.3%
403102.294296346 1
 
0.3%
402792.323019555 3
1.0%
402534.192884314 1
 
0.3%
401376.628092168 1
 
0.3%
401306.622050374 1
 
0.3%
400201.062365942 1
 
0.3%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct263
Distinct (%)85.4%
Missing4
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean188133.21
Minimum174577.63
Maximum210890.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:55.226491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174577.63
5-th percentile180134.47
Q1185444.75
median187570.05
Q3190798.66
95-th percentile199331.27
Maximum210890.6
Range36312.961
Interquartile range (IQR)5353.9138

Descriptive statistics

Standard deviation5659.1532
Coefficient of variation (CV)0.030080564
Kurtosis2.1928529
Mean188133.21
Median Absolute Deviation (MAD)2691.364
Skewness0.94247018
Sum57945030
Variance32026015
MonotonicityNot monotonic
2024-04-17T00:10:55.345900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186406.750870936 7
 
2.2%
188440.756376893 3
 
1.0%
199422.531912758 3
 
1.0%
186046.694334408 3
 
1.0%
187570.045156033 3
 
1.0%
189684.688283294 3
 
1.0%
188061.35516256 3
 
1.0%
183632.373950837 3
 
1.0%
185139.308178371 2
 
0.6%
184052.409245407 2
 
0.6%
Other values (253) 276
88.5%
(Missing) 4
 
1.3%
ValueCountFrequency (%)
174577.633592265 1
0.3%
174683.069423816 1
0.3%
175451.169605142 1
0.3%
177284.095401433 1
0.3%
177568.391256663 1
0.3%
178002.563625787 1
0.3%
178272.460276048 1
0.3%
178677.719427137 1
0.3%
178693.084068023 1
0.3%
179399.726039619 1
0.3%
ValueCountFrequency (%)
210890.595005576 1
 
0.3%
210070.749554722 1
 
0.3%
205417.978411701 2
0.6%
204914.844254989 1
 
0.3%
204702.317992427 1
 
0.3%
204472.678508036 2
0.6%
204294.193091143 1
 
0.3%
204041.861610296 1
 
0.3%
203080.904530081 1
 
0.3%
199422.531912758 3
1.0%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
건강기능식품유통전문판매업
312 

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 312
100.0%

Length

2024-04-17T00:10:55.450891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:55.523254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 312
100.0%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
310 
0
 
2

Length

Max length4
Median length4
Mean length3.9807692
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 310
99.4%
0 2
 
0.6%

Length

2024-04-17T00:10:55.604685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:55.684132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 310
99.4%
0 2
 
0.6%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
310 
0
 
2

Length

Max length4
Median length4
Mean length3.9807692
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 310
99.4%
0 2
 
0.6%

Length

2024-04-17T00:10:55.768182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:55.848907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 310
99.4%
0 2
 
0.6%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing312
Missing (%)100.0%
Memory size2.9 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing312
Missing (%)100.0%
Memory size2.9 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
291 
상수도전용
 
21

Length

Max length5
Median length4
Mean length4.0673077
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> 291
93.3%
상수도전용 21
 
6.7%

Length

2024-04-17T00:10:55.933099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:56.010359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 291
93.3%
상수도전용 21
 
6.7%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing312
Missing (%)100.0%
Memory size2.9 KiB

본사종업원수
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
156 
<NA>
154 
6
 
2

Length

Max length4
Median length1
Mean length2.4807692
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 156
50.0%
<NA> 154
49.4%
6 2
 
0.6%

Length

2024-04-17T00:10:56.092315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:56.184391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 156
50.0%
na 154
49.4%
6 2
 
0.6%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
156 
<NA>
156 

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 156
50.0%
<NA> 156
50.0%

Length

2024-04-17T00:10:56.282801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:56.364853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 156
50.0%
na 156
50.0%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
156 
<NA>
156 

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 156
50.0%
<NA> 156
50.0%

Length

2024-04-17T00:10:56.447745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:56.551095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 156
50.0%
na 156
50.0%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
156 
<NA>
156 

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 156
50.0%
<NA> 156
50.0%

Length

2024-04-17T00:10:56.894155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:56.978830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 156
50.0%
na 156
50.0%

건물소유구분명
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
248 
자가
35 
임대
29 

Length

Max length4
Median length4
Mean length3.5897436
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 248
79.5%
자가 35
 
11.2%
임대 29
 
9.3%

Length

2024-04-17T00:10:57.088849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:57.199566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 248
79.5%
자가 35
 
11.2%
임대 29
 
9.3%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
302 
0
 
10

Length

Max length4
Median length4
Mean length3.9038462
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 302
96.8%
0 10
 
3.2%

Length

2024-04-17T00:10:57.328242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:57.424874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 302
96.8%
0 10
 
3.2%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
302 
0
 
10

Length

Max length4
Median length4
Mean length3.9038462
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 302
96.8%
0 10
 
3.2%

Length

2024-04-17T00:10:57.528002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:57.608705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 302
96.8%
0 10
 
3.2%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
False
312 
ValueCountFrequency (%)
False 312
100.0%
2024-04-17T00:10:57.670474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5336859
Minimum0
Maximum126.34
Zeros285
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:57.747005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile19.011
Maximum126.34
Range126.34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.983863
Coefficient of variation (CV)4.2402928
Kurtosis27.606021
Mean3.5336859
Median Absolute Deviation (MAD)0
Skewness5.05972
Sum1102.51
Variance224.51614
MonotonicityNot monotonic
2024-04-17T00:10:57.853941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 285
91.3%
6.57 1
 
0.3%
22.08 1
 
0.3%
91.8 1
 
0.3%
8.6 1
 
0.3%
63.41 1
 
0.3%
60.0 1
 
0.3%
10.05 1
 
0.3%
12.9 1
 
0.3%
59.12 1
 
0.3%
Other values (18) 18
 
5.8%
ValueCountFrequency (%)
0.0 285
91.3%
2.42 1
 
0.3%
6.5 1
 
0.3%
6.57 1
 
0.3%
7.03 1
 
0.3%
8.6 1
 
0.3%
10.05 1
 
0.3%
11.19 1
 
0.3%
12.9 1
 
0.3%
13.2 1
 
0.3%
ValueCountFrequency (%)
126.34 1
0.3%
91.8 1
0.3%
83.87 1
0.3%
82.0 1
0.3%
76.86 1
0.3%
66.27 1
0.3%
66.0 1
0.3%
63.41 1
0.3%
60.0 1
0.3%
59.12 1
0.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing312
Missing (%)100.0%
Memory size2.9 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing312
Missing (%)100.0%
Memory size2.9 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing312
Missing (%)100.0%
Memory size2.9 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing312
Missing (%)100.0%
Memory size2.9 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
01건강기능식품유통전문판매업07_22_02_P32500003250000-135-2019-0000120190124<NA>1영업/정상1영업<NA><NA><NA><NA>051 442 404666.00600025부산광역시 중구 동광동5가 19-13번지부산광역시 중구 샘길 1, 지하 1층 (동광동5가)48925영롱20190208170514I2019-02-12 02:21:18.0건강기능식품유통전문판매업385281.0269180539.42777건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0.0<NA><NA><NA><NA>
12건강기능식품유통전문판매업07_22_02_P32500003250000-135-2017-0000220170425<NA>1영업/정상1영업<NA><NA><NA><NA>051 245 106649.50600816부산광역시 중구 중앙동4가 79-1번지부산광역시 중구 충장대로9번길 52, 17층 1710호 (중앙동4가, 마린센터빌딩)48936청강지엘에스(주)20170425154446I2018-08-31 23:59:59.0건강기능식품유통전문판매업385825.756708180869.292985건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA><NA>
23건강기능식품유통전문판매업07_22_02_P32500003250000-135-2019-0000220190828<NA>1영업/정상1영업<NA><NA><NA><NA>15882838<NA>600816부산광역시 중구 중앙동4가 78-2번지부산광역시 중구 충장대로9번길 55, 5층 1호 (중앙동4가)48936주식회사영롱(YoungLong Corp.)20190828174738I2019-08-30 02:22:32.0건강기능식품유통전문판매업385793.29931180910.386636건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
34건강기능식품유통전문판매업07_22_02_P32500003250000-135-2019-0000320190530<NA>1영업/정상1영업<NA><NA><NA><NA><NA>19.40600101부산광역시 중구 대창동1가 54-1번지 센트렐오피스텔부산광역시 중구 중앙대로 131, 센트렐오피스텔 3층 (대창동1가)48924주식회사바이오맥스인터내셔널20200601141416U2020-06-04 02:40:00.0건강기능식품유통전문판매업385617.137705180818.494927건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA><NA>
45건강기능식품유통전문판매업07_22_02_P32500003250000-135-2015-0000120151020<NA>1영업/정상1영업<NA><NA><NA><NA>051 466 51681,584.00600814부산광역시 중구 중앙동4가 17-7번지부산광역시 중구 대청로155번길 6, 2층 (중앙동4가)48941(주)청운플러스20181001170224U2018-10-03 02:35:56.0건강기능식품유통전문판매업385688.912554180165.79652건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>임대<NA><NA>N0.0<NA><NA><NA><NA>
56건강기능식품유통전문판매업07_22_02_P32500003250000-135-2020-0000120201020<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>600101부산광역시 중구 대창동1가 54-1 센트렐오피스텔부산광역시 중구 중앙대로 131, 센트렐오피스텔 3층 (대창동1가)48924주식회사 바이오맥스20201020150138I2020-10-22 00:23:10.0건강기능식품유통전문판매업385617.137705180818.494927건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
67건강기능식품유통전문판매업07_22_02_P32500003250000-135-2021-0000120210111<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>600815부산광역시 중구 중앙동4가 53-6부산광역시 중구 중앙대로81번길 2, 팔성빌딩 6층 (중앙동4가)48929(주)네이처온팜20210111141910I2021-01-13 00:23:04.0건강기능식품유통전문판매업385558.054843180350.527916건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
78건강기능식품유통전문판매업07_22_02_P32600003260000-135-2019-0000120190813<NA>1영업/정상1영업<NA><NA><NA><NA>070 82277940<NA>602816부산광역시 서구 부민동1가 19-2번지부산광역시 서구 구덕로214번길 16, 2층 (부민동1가)49223(주)낫띵베럴20190813150431I2019-08-15 02:22:17.0건강기능식품유통전문판매업384185.58782180153.809187건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
89건강기능식품유통전문판매업07_22_02_P32600003260000-135-2018-0000220180419<NA>1영업/정상1영업<NA><NA><NA><NA>051 246 010130.00602811부산광역시 서구 동대신동2가 404-1 6층부산광역시 서구 대영로 79-2, 6층 (동대신동2가)49217(주)제이앤에이치바이오20210111161003U2021-01-13 02:40:00.0건강기능식품유통전문판매업383745.608648180882.783076건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
910건강기능식품유통전문판매업07_22_02_P32600003260000-135-2018-0000120180110<NA>1영업/정상1영업<NA><NA><NA><NA>051 817 012325.83602061부산광역시 서구 아미동1가 1부산광역시 서구 구덕로 187, 부산대학교병원 교육연구시설 에이동 1층 연구소1-9호 (아미동1가)49241(주)헬시파머20201123151246U2020-11-25 02:40:00.0건강기능식품유통전문판매업384034.893987179924.837169건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
302303건강기능식품유통전문판매업07_22_02_P34000003400000-135-2015-0000120150420<NA>3폐업2폐업20180219<NA><NA><NA>070 885169523.30619904부산광역시 기장군 기장읍 연화리 216-1번지부산광역시 기장군 기장읍 연화길 43-1, 1층46082(사)미역다시마전략식품사업단20180219174244I2018-08-31 23:59:59.0건강기능식품유통전문판매업402534.192884193227.825132건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
303304건강기능식품유통전문판매업07_22_02_P34000003400000-135-2004-0000220040803<NA>3폐업2폐업20100225<NA><NA><NA>0517 227150<NA>619872부산광역시 기장군 철마면 장전리 294-1번지<NA><NA>동부산농협철마지점20040803000000I2018-08-31 23:59:59.0건강기능식품유통전문판매업395564.632162199347.212842건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
304305건강기능식품유통전문판매업07_22_02_P34000003400000-135-2005-0000120050510<NA>3폐업2폐업20090703<NA><NA><NA>051 7275504<NA>619913부산광역시 기장군 일광면 원리 1-44번지<NA><NA>기장농수산물유통공사20050510000000I2018-08-31 23:59:59.0건강기능식품유통전문판매업404298.494104203080.90453건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
305306건강기능식품유통전문판매업07_22_02_P34000003400000-135-2011-0000120111115<NA>3폐업2폐업20130605<NA><NA><NA>051 728 3337<NA><NA>부산광역시 기장군 정관읍 용수리 1047-13번지 (2층)부산광역시 기장군 정관읍 용수공단2길 45, 2층46006현대프라임메디칼20111115101910I2018-08-31 23:59:59.0건강기능식품유통전문판매업396681.060387204914.844255건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
306307건강기능식품유통전문판매업07_22_02_P34000003400000-135-2013-0000120130419<NA>3폐업2폐업20160905<NA><NA><NA><NA>106.01619903부산광역시 기장군 기장읍 대라리 186-3번지부산광역시 기장군 기장읍 차성로 19946074해청원(주) 기장지점20130419113627I2018-08-31 23:59:59.0건강기능식품유통전문판매업401376.628092195128.588건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N91.8<NA><NA><NA><NA>
307308건강기능식품유통전문판매업07_22_02_P34000003400000-135-2013-0000420130822<NA>3폐업2폐업20191211<NA><NA><NA><NA>94.44<NA>부산광역시 기장군 정관읍 매학리 766-8번지부산광역시 기장군 정관읍 구연2로 2546023네이처21(Nature21)20191211085752U2019-12-13 02:40:00.0건강기능식품유통전문판매업398394.784011204472.678508건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
308309건강기능식품유통전문판매업07_22_02_P34000003400000-135-2013-0000320131120<NA>3폐업2폐업20161220<NA><NA><NA><NA>5.94619903부산광역시 기장군 기장읍 대라리 494번지부산광역시 기장군 기장읍 차성로287번길 2346067(주)제이엔케이 2120131219111130I2018-08-31 23:59:59.0건강기능식품유통전문판매업401306.62205195978.794169건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
309310건강기능식품유통전문판매업07_22_02_P34000003400000-135-2014-0000120140509<NA>3폐업2폐업20201201<NA><NA><NA>051 751 868722.08<NA>부산광역시 기장군 정관읍 모전리 743-8부산광역시 기장군 정관읍 모전3길 13-2, 지하1층46008네이쳐푸드20201201094808U2020-12-03 02:40:00.0건강기능식품유통전문판매업398031.06223204294.193091건강기능식품유통전문판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N22.08<NA><NA><NA><NA>
310311건강기능식품유통전문판매업07_22_02_P34000003400000-135-2018-0000120180115<NA>3폐업2폐업20200617<NA><NA><NA>051 727 072713.05619951부산광역시 기장군 장안읍 장안리 430번지 거북이가든부산광역시 기장군 장안읍 상장안2길 9, 거북이가든 1층46028기장양봉연구회영농조합법인20200618101737U2020-06-20 02:40:00.0건강기능식품유통전문판매업403961.027641210070.749555건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
311312건강기능식품유통전문판매업07_22_02_P34000003400000-135-2015-0000220150330<NA>3폐업2폐업20191030<NA><NA><NA>051 253 692740.79619951부산광역시 기장군 장안읍 월내리 171번지부산광역시 기장군 장안읍 해맞이로 367-1, 2층46037에스엠생명공학(주)20191030152232U2019-11-01 02:40:00.0건강기능식품유통전문판매업406963.422489205417.978412건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0.0<NA><NA><NA><NA>