Overview

Dataset statistics

Number of variables48
Number of observations309
Missing cells3895
Missing cells (%)26.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory125.4 KiB
Average record size in memory415.4 B

Variable types

Numeric10
Categorical19
Text6
Unsupported11
DateTime1
Boolean1

Dataset

Description2021-01-04
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 (64.2%)Imbalance
보증액 is highly imbalanced (79.4%)Imbalance
월세액 is highly imbalanced (79.4%)Imbalance
인허가취소일자 has 309 (100.0%) missing valuesMissing
폐업일자 has 118 (38.2%) missing valuesMissing
휴업시작일자 has 309 (100.0%) missing valuesMissing
휴업종료일자 has 309 (100.0%) missing valuesMissing
재개업일자 has 309 (100.0%) missing valuesMissing
소재지전화 has 99 (32.0%) missing valuesMissing
소재지면적 has 127 (41.1%) missing valuesMissing
소재지우편번호 has 8 (2.6%) missing valuesMissing
도로명전체주소 has 67 (21.7%) missing valuesMissing
도로명우편번호 has 68 (22.0%) missing valuesMissing
좌표정보(x) has 4 (1.3%) missing valuesMissing
좌표정보(y) has 4 (1.3%) missing valuesMissing
영업장주변구분명 has 309 (100.0%) missing valuesMissing
등급구분명 has 309 (100.0%) missing valuesMissing
총종업원수 has 309 (100.0%) missing valuesMissing
전통업소지정번호 has 309 (100.0%) missing valuesMissing
전통업소주된음식 has 309 (100.0%) missing valuesMissing
홈페이지 has 309 (100.0%) missing valuesMissing
Unnamed: 47 has 309 (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 281 (90.9%) zerosZeros

Reproduction

Analysis started2024-04-16 15:11:11.483526
Analysis finished2024-04-16 15:11:12.236457
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct309
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155
Minimum1
Maximum309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-17T00:11:12.290933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.4
Q178
median155
Q3232
95-th percentile293.6
Maximum309
Range308
Interquartile range (IQR)154

Descriptive statistics

Standard deviation89.344838
Coefficient of variation (CV)0.57641831
Kurtosis-1.2
Mean155
Median Absolute Deviation (MAD)77
Skewness0
Sum47895
Variance7982.5
MonotonicityStrictly increasing
2024-04-17T00:11:12.408368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
205 1
 
0.3%
212 1
 
0.3%
211 1
 
0.3%
210 1
 
0.3%
209 1
 
0.3%
208 1
 
0.3%
207 1
 
0.3%
206 1
 
0.3%
204 1
 
0.3%
Other values (299) 299
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 (%)
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%
302 1
0.3%
301 1
0.3%
300 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
건강기능식품유통전문판매업
309 

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 309
100.0%

Length

2024-04-17T00:11:12.525201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:11:12.625806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 309
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
07_22_02_P
309 

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 309
100.0%

Length

2024-04-17T00:11:12.730627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:11:12.853044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_02_p 309
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3329773.5
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-17T00:11:12.944383image/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 deviation43688.84
Coefficient of variation (CV)0.013120664
Kurtosis-1.1988044
Mean3329773.5
Median Absolute Deviation (MAD)40000
Skewness0.048771429
Sum1.0289 × 109
Variance1.9087147 × 109
MonotonicityNot monotonic
2024-04-17T00:11:13.039981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 55
17.8%
3370000 39
12.6%
3330000 37
12.0%
3300000 31
10.0%
3390000 26
8.4%
3400000 21
 
6.8%
3350000 18
 
5.8%
3270000 15
 
4.9%
3310000 13
 
4.2%
3250000 11
 
3.6%
Other values (6) 43
13.9%
ValueCountFrequency (%)
3250000 11
 
3.6%
3260000 7
 
2.3%
3270000 15
 
4.9%
3280000 3
 
1.0%
3290000 55
17.8%
3300000 31
10.0%
3310000 13
 
4.2%
3320000 6
 
1.9%
3330000 37
12.0%
3340000 8
 
2.6%
ValueCountFrequency (%)
3400000 21
6.8%
3390000 26
8.4%
3380000 10
 
3.2%
3370000 39
12.6%
3360000 9
 
2.9%
3350000 18
5.8%
3340000 8
 
2.6%
3330000 37
12.0%
3320000 6
 
1.9%
3310000 13
 
4.2%

관리번호
Text

UNIQUE 

Distinct309
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-17T00:11:13.205767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters6798
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

Unique309 ?
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%
3300000-135-2009-00004 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%
3310000-135-2014-00001 1
 
0.3%
3310000-135-2013-00001 1
 
0.3%
Other values (299) 299
96.8%
2024-04-17T00:11:13.484688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2966
43.6%
- 927
 
13.6%
3 908
 
13.4%
1 675
 
9.9%
2 525
 
7.7%
5 381
 
5.6%
9 126
 
1.9%
4 102
 
1.5%
7 85
 
1.3%
6 54
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5871
86.4%
Dash Punctuation 927
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2966
50.5%
3 908
 
15.5%
1 675
 
11.5%
2 525
 
8.9%
5 381
 
6.5%
9 126
 
2.1%
4 102
 
1.7%
7 85
 
1.4%
6 54
 
0.9%
8 49
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 927
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6798
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2966
43.6%
- 927
 
13.6%
3 908
 
13.4%
1 675
 
9.9%
2 525
 
7.7%
5 381
 
5.6%
9 126
 
1.9%
4 102
 
1.5%
7 85
 
1.3%
6 54
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6798
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2966
43.6%
- 927
 
13.6%
3 908
 
13.4%
1 675
 
9.9%
2 525
 
7.7%
5 381
 
5.6%
9 126
 
1.9%
4 102
 
1.5%
7 85
 
1.3%
6 54
 
0.8%

인허가일자
Real number (ℝ)

Distinct270
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20132014
Minimum20040409
Maximum20201230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-17T00:11:13.612638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040409
5-th percentile20040955
Q120090625
median20140722
Q320180103
95-th percentile20200718
Maximum20201230
Range160821
Interquartile range (IQR)89478

Descriptive statistics

Standard deviation51316.042
Coefficient of variation (CV)0.0025489771
Kurtosis-1.1052593
Mean20132014
Median Absolute Deviation (MAD)40086
Skewness-0.37044787
Sum6.2207922 × 109
Variance2.6333362 × 109
MonotonicityNot monotonic
2024-04-17T00:11:13.742830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160331 3
 
1.0%
20091012 3
 
1.0%
20140509 3
 
1.0%
20140730 3
 
1.0%
20150330 3
 
1.0%
20081105 2
 
0.6%
20160526 2
 
0.6%
20140728 2
 
0.6%
20200611 2
 
0.6%
20090714 2
 
0.6%
Other values (260) 284
91.9%
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 (%)
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%
20201015 1
0.3%
20200922 1
0.3%
20200909 1
0.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
3
191 
1
118 

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 (%)
3 191
61.8%
1 118
38.2%

Length

2024-04-17T00:11:13.856839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:11:13.940880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 191
61.8%
1 118
38.2%

영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
폐업
191 
영업/정상
118 

Length

Max length5
Median length2
Mean length3.1456311
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 191
61.8%
영업/정상 118
38.2%

Length

2024-04-17T00:11:14.067919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:11:14.171538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 191
61.8%
영업/정상 118
38.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2
191 
1
118 

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 (%)
2 191
61.8%
1 118
38.2%

Length

2024-04-17T00:11:14.266386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:11:14.342907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 191
61.8%
1 118
38.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
폐업
191 
영업
118 

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 191
61.8%
영업 118
38.2%

Length

2024-04-17T00:11:14.425672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:11:14.545703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 191
61.8%
영업 118
38.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct175
Distinct (%)91.6%
Missing118
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean20142273
Minimum20040921
Maximum20201202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-17T00:11:14.660769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040921
5-th percentile20055661
Q120100415
median20151110
Q320181228
95-th percentile20200613
Maximum20201202
Range160281
Interquartile range (IQR)80813

Descriptive statistics

Standard deviation46196.849
Coefficient of variation (CV)0.002293527
Kurtosis-1.0819562
Mean20142273
Median Absolute Deviation (MAD)39614
Skewness-0.43387367
Sum3.8471742 × 109
Variance2.1341488 × 109
MonotonicityNot monotonic
2024-04-17T00:11:14.841228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190708 4
 
1.3%
20100409 3
 
1.0%
20100430 2
 
0.6%
20181228 2
 
0.6%
20100319 2
 
0.6%
20181231 2
 
0.6%
20100225 2
 
0.6%
20130925 2
 
0.6%
20200617 2
 
0.6%
20171229 2
 
0.6%
Other values (165) 168
54.4%
(Missing) 118
38.2%
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 (%)
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%
20200619 1
0.3%
20200617 2
0.6%
20200609 1
0.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

소재지전화
Text

MISSING 

Distinct181
Distinct (%)86.2%
Missing99
Missing (%)32.0%
Memory size2.5 KiB
2024-04-17T00:11:15.126601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.342857
Min length7

Characters and Unicode

Total characters2382
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

Unique156 ?
Unique (%)74.3%

Sample

1st row051 442 4046
2nd row051 245 1066
3rd row15882838
4th row051 466 5168
5th row070 82277940
ValueCountFrequency (%)
051 156
30.9%
070 23
 
4.6%
751 6
 
1.2%
8946 4
 
0.8%
806 4
 
0.8%
507 4
 
0.8%
9004058 3
 
0.6%
8687 3
 
0.6%
76054103 3
 
0.6%
747 3
 
0.6%
Other values (253) 296
58.6%
2024-04-17T00:11:15.464106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 397
16.7%
5 330
13.9%
1 319
13.4%
299
12.6%
7 204
8.6%
8 168
7.1%
2 144
 
6.0%
6 140
 
5.9%
4 136
 
5.7%
3 132
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2083
87.4%
Space Separator 299
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 397
19.1%
5 330
15.8%
1 319
15.3%
7 204
9.8%
8 168
8.1%
2 144
 
6.9%
6 140
 
6.7%
4 136
 
6.5%
3 132
 
6.3%
9 113
 
5.4%
Space Separator
ValueCountFrequency (%)
299
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2382
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 397
16.7%
5 330
13.9%
1 319
13.4%
299
12.6%
7 204
8.6%
8 168
7.1%
2 144
 
6.0%
6 140
 
5.9%
4 136
 
5.7%
3 132
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2382
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 397
16.7%
5 330
13.9%
1 319
13.4%
299
12.6%
7 204
8.6%
8 168
7.1%
2 144
 
6.0%
6 140
 
5.9%
4 136
 
5.7%
3 132
 
5.5%

소재지면적
Text

MISSING 

Distinct159
Distinct (%)87.4%
Missing127
Missing (%)41.1%
Memory size2.5 KiB
2024-04-17T00:11:15.772301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.2197802
Min length3

Characters and Unicode

Total characters950
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

Unique145 ?
Unique (%)79.7%

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%
100.00 3
 
1.6%
90.00 3
 
1.6%
133.49 3
 
1.6%
60.00 2
 
1.1%
94.44 2
 
1.1%
33.00 2
 
1.1%
15.99 2
 
1.1%
24.00 2
 
1.1%
Other values (149) 153
84.1%
2024-04-17T00:11:16.196660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 193
20.3%
. 182
19.2%
1 91
9.6%
2 77
 
8.1%
3 72
 
7.6%
5 70
 
7.4%
4 63
 
6.6%
6 58
 
6.1%
8 50
 
5.3%
9 47
 
4.9%
Other values (2) 47
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 767
80.7%
Other Punctuation 183
 
19.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 193
25.2%
1 91
11.9%
2 77
 
10.0%
3 72
 
9.4%
5 70
 
9.1%
4 63
 
8.2%
6 58
 
7.6%
8 50
 
6.5%
9 47
 
6.1%
7 46
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 182
99.5%
, 1
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 950
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 193
20.3%
. 182
19.2%
1 91
9.6%
2 77
 
8.1%
3 72
 
7.6%
5 70
 
7.4%
4 63
 
6.6%
6 58
 
6.1%
8 50
 
5.3%
9 47
 
4.9%
Other values (2) 47
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 193
20.3%
. 182
19.2%
1 91
9.6%
2 77
 
8.1%
3 72
 
7.6%
5 70
 
7.4%
4 63
 
6.6%
6 58
 
6.1%
8 50
 
5.3%
9 47
 
4.9%
Other values (2) 47
 
4.9%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct194
Distinct (%)64.5%
Missing8
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean611742.22
Minimum600025
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-17T00:11:16.379614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600025
5-th percentile601818
Q1608080
median612050
Q3614850
95-th percentile618814
Maximum619952
Range19927
Interquartile range (IQR)6770

Descriptive statistics

Standard deviation5018.6818
Coefficient of variation (CV)0.0082039161
Kurtosis-0.26243272
Mean611742.22
Median Absolute Deviation (MAD)2815
Skewness-0.56031214
Sum1.8413441 × 108
Variance25187167
MonotonicityNot monotonic
2024-04-17T00:11:16.524510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
612824 8
 
2.6%
614853 5
 
1.6%
612020 5
 
1.6%
612050 5
 
1.6%
611839 5
 
1.6%
614836 4
 
1.3%
611831 4
 
1.3%
600816 4
 
1.3%
614854 4
 
1.3%
614847 4
 
1.3%
Other values (184) 253
81.9%
(Missing) 8
 
2.6%
ValueCountFrequency (%)
600025 1
 
0.3%
600046 1
 
0.3%
600101 2
0.6%
600814 2
0.6%
600815 1
 
0.3%
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

Distinct295
Distinct (%)95.8%
Missing1
Missing (%)0.3%
Memory size2.5 KiB
2024-04-17T00:11:16.719480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length25.974026
Min length16

Characters and Unicode

Total characters8000
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

Unique283 ?
Unique (%)91.9%

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 308
 
20.6%
부산진구 55
 
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 17
 
1.1%
Other values (541) 912
61.0%
2024-04-17T00:11:17.335750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1188
 
14.8%
산 411
 
5.1%
부 402
 
5.0%
1 378
 
4.7%
동 355
 
4.4%
시 319
 
4.0%
광 317
 
4.0%
역 308
 
3.9%
구 299
 
3.7%
지 293
 
3.7%
Other values (234) 3730
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4855
60.7%
Decimal Number 1630
 
20.4%
Space Separator 1188
 
14.8%
Dash Punctuation 259
 
3.2%
Close Punctuation 21
 
0.3%
Open 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 411
 
8.5%
부 402
 
8.3%
동 355
 
7.3%
시 319
 
6.6%
광 317
 
6.5%
역 308
 
6.3%
구 299
 
6.2%
지 293
 
6.0%
번 273
 
5.6%
연 81
 
1.7%
Other values (209) 1797
37.0%
Decimal Number
ValueCountFrequency (%)
1 378
23.2%
3 192
11.8%
2 188
11.5%
4 164
10.1%
5 159
9.8%
0 147
 
9.0%
7 112
 
6.9%
6 107
 
6.6%
9 95
 
5.8%
8 88
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 5
29.4%
I 4
23.5%
S 3
17.6%
T 1
 
5.9%
A 1
 
5.9%
O 1
 
5.9%
C 1
 
5.9%
F 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
/ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 259
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4855
60.7%
Common 3126
39.1%
Latin 19
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 411
 
8.5%
부 402
 
8.3%
동 355
 
7.3%
시 319
 
6.6%
광 317
 
6.5%
역 308
 
6.3%
구 299
 
6.2%
지 293
 
6.0%
번 273
 
5.6%
연 81
 
1.7%
Other values (209) 1797
37.0%
Common
ValueCountFrequency (%)
1188
38.0%
1 378
 
12.1%
- 259
 
8.3%
3 192
 
6.1%
2 188
 
6.0%
4 164
 
5.2%
5 159
 
5.1%
0 147
 
4.7%
7 112
 
3.6%
6 107
 
3.4%
Other values (6) 232
 
7.4%
Latin
ValueCountFrequency (%)
B 5
26.3%
I 4
21.1%
S 3
15.8%
e 2
 
10.5%
T 1
 
5.3%
A 1
 
5.3%
O 1
 
5.3%
C 1
 
5.3%
F 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4855
60.7%
ASCII 3145
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1188
37.8%
1 378
 
12.0%
- 259
 
8.2%
3 192
 
6.1%
2 188
 
6.0%
4 164
 
5.2%
5 159
 
5.1%
0 147
 
4.7%
7 112
 
3.6%
6 107
 
3.4%
Other values (15) 251
 
8.0%
Hangul
ValueCountFrequency (%)
산 411
 
8.5%
부 402
 
8.3%
동 355
 
7.3%
시 319
 
6.6%
광 317
 
6.5%
역 308
 
6.3%
구 299
 
6.2%
지 293
 
6.0%
번 273
 
5.6%
연 81
 
1.7%
Other values (209) 1797
37.0%

도로명전체주소
Text

MISSING 

Distinct234
Distinct (%)96.7%
Missing67
Missing (%)21.7%
Memory size2.5 KiB
2024-04-17T00:11:17.708702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length45
Mean length33.252066
Min length21

Characters and Unicode

Total characters8047
Distinct characters277
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

Unique227 ?
Unique (%)93.8%

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 242
 
15.6%
부산진구 41
 
2.6%
2층 32
 
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 (611) 1058
68.2%
2024-04-17T00:11:18.144709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1311
 
16.3%
산 330
 
4.1%
부 322
 
4.0%
동 296
 
3.7%
1 295
 
3.7%
시 270
 
3.4%
광 258
 
3.2%
, 248
 
3.1%
역 242
 
3.0%
구 239
 
3.0%
Other values (267) 4236
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4672
58.1%
Space Separator 1311
 
16.3%
Decimal Number 1277
 
15.9%
Other Punctuation 250
 
3.1%
Open Punctuation 236
 
2.9%
Close Punctuation 236
 
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 330
 
7.1%
부 322
 
6.9%
동 296
 
6.3%
시 270
 
5.8%
광 258
 
5.5%
역 242
 
5.2%
구 239
 
5.1%
로 233
 
5.0%
층 153
 
3.3%
대 138
 
3.0%
Other values (234) 2191
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%
E 1
 
3.6%
O 1
 
3.6%
U 1
 
3.6%
K 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 295
23.1%
2 198
15.5%
3 156
12.2%
0 133
10.4%
4 105
 
8.2%
7 94
 
7.4%
5 93
 
7.3%
6 71
 
5.6%
8 70
 
5.5%
9 62
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 248
99.2%
/ 1
 
0.4%
* 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 235
99.6%
[ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 235
99.6%
] 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1311
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 4672
58.1%
Common 3344
41.6%
Latin 31
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 330
 
7.1%
부 322
 
6.9%
동 296
 
6.3%
시 270
 
5.8%
광 258
 
5.5%
역 242
 
5.2%
구 239
 
5.1%
로 233
 
5.0%
층 153
 
3.3%
대 138
 
3.0%
Other values (234) 2191
46.9%
Common
ValueCountFrequency (%)
1311
39.2%
1 295
 
8.8%
, 248
 
7.4%
( 235
 
7.0%
) 235
 
7.0%
2 198
 
5.9%
3 156
 
4.7%
0 133
 
4.0%
4 105
 
3.1%
7 94
 
2.8%
Other values (10) 334
 
10.0%
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%
E 1
 
3.2%
O 1
 
3.2%
U 1
 
3.2%
Other values (3) 3
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4672
58.1%
ASCII 3375
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1311
38.8%
1 295
 
8.7%
, 248
 
7.3%
( 235
 
7.0%
) 235
 
7.0%
2 198
 
5.9%
3 156
 
4.6%
0 133
 
3.9%
4 105
 
3.1%
7 94
 
2.8%
Other values (23) 365
 
10.8%
Hangul
ValueCountFrequency (%)
산 330
 
7.1%
부 322
 
6.9%
동 296
 
6.3%
시 270
 
5.8%
광 258
 
5.5%
역 242
 
5.2%
구 239
 
5.1%
로 233
 
5.0%
층 153
 
3.3%
대 138
 
3.0%
Other values (234) 2191
46.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct189
Distinct (%)78.4%
Missing68
Missing (%)22.0%
Infinite0
Infinite (%)0.0%
Mean47579.249
Minimum46006
Maximum49516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-17T00:11:18.295345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46006
5-th percentile46048
Q147026
median47551
Q348095
95-th percentile49217
Maximum49516
Range3510
Interquartile range (IQR)1069

Descriptive statistics

Standard deviation875.409
Coefficient of variation (CV)0.018398966
Kurtosis-0.47616906
Mean47579.249
Median Absolute Deviation (MAD)541
Skewness0.095921064
Sum11466599
Variance766340.92
MonotonicityNot monotonic
2024-04-17T00:11:18.436834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48092 7
 
2.3%
48059 7
 
2.3%
46048 3
 
1.0%
47229 3
 
1.0%
47284 3
 
1.0%
48095 3
 
1.0%
46983 3
 
1.0%
46023 2
 
0.6%
46037 2
 
0.6%
47210 2
 
0.6%
Other values (179) 206
66.7%
(Missing) 68
 
22.0%
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

Distinct269
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-17T00:11:18.628973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length7.6116505
Min length2

Characters and Unicode

Total characters2352
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

Unique235 ?
Unique (%)76.1%

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%
주)드림컴퍼니 3
 
0.8%
백산유통 3
 
0.8%
네이쳐푸드 3
 
0.8%
삼성바이오팜 3
 
0.8%
허브플렛폼 3
 
0.8%
크로렐라생식 2
 
0.6%
웰빙플러스 2
 
0.6%
푸드럭주식회사 2
 
0.6%
Other values (286) 315
87.5%
2024-04-17T00:11:18.919051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 174
 
7.4%
) 151
 
6.4%
( 147
 
6.2%
이 115
 
4.9%
스 65
 
2.8%
에 52
 
2.2%
51
 
2.2%
사 50
 
2.1%
식 44
 
1.9%
오 42
 
1.8%
Other values (322) 1461
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1904
81.0%
Close Punctuation 151
 
6.4%
Open Punctuation 147
 
6.2%
Uppercase Letter 57
 
2.4%
Space Separator 51
 
2.2%
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 174
 
9.1%
이 115
 
6.0%
스 65
 
3.4%
에 52
 
2.7%
사 50
 
2.6%
식 44
 
2.3%
오 42
 
2.2%
바 41
 
2.2%
회 37
 
1.9%
리 28
 
1.5%
Other values (283) 1256
66.0%
Uppercase Letter
ValueCountFrequency (%)
N 5
 
8.8%
C 5
 
8.8%
L 4
 
7.0%
A 4
 
7.0%
R 4
 
7.0%
S 4
 
7.0%
K 3
 
5.3%
O 3
 
5.3%
E 3
 
5.3%
B 3
 
5.3%
Other values (10) 19
33.3%
Lowercase Letter
ValueCountFrequency (%)
o 5
20.0%
u 4
16.0%
r 3
12.0%
n 2
 
8.0%
g 2
 
8.0%
a 2
 
8.0%
t 2
 
8.0%
e 2
 
8.0%
p 1
 
4.0%
d 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 (%)
) 151
100.0%
Open Punctuation
ValueCountFrequency (%)
( 147
100.0%
Space Separator
ValueCountFrequency (%)
51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1904
81.0%
Common 366
 
15.6%
Latin 82
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 174
 
9.1%
이 115
 
6.0%
스 65
 
3.4%
에 52
 
2.7%
사 50
 
2.6%
식 44
 
2.3%
오 42
 
2.2%
바 41
 
2.2%
회 37
 
1.9%
리 28
 
1.5%
Other values (283) 1256
66.0%
Latin
ValueCountFrequency (%)
N 5
 
6.1%
o 5
 
6.1%
C 5
 
6.1%
L 4
 
4.9%
u 4
 
4.9%
A 4
 
4.9%
R 4
 
4.9%
S 4
 
4.9%
r 3
 
3.7%
K 3
 
3.7%
Other values (21) 41
50.0%
Common
ValueCountFrequency (%)
) 151
41.3%
( 147
40.2%
51
 
13.9%
1 5
 
1.4%
2 5
 
1.4%
. 4
 
1.1%
& 2
 
0.5%
- 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1904
81.0%
ASCII 448
 
19.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 174
 
9.1%
이 115
 
6.0%
스 65
 
3.4%
에 52
 
2.7%
사 50
 
2.6%
식 44
 
2.3%
오 42
 
2.2%
바 41
 
2.2%
회 37
 
1.9%
리 28
 
1.5%
Other values (283) 1256
66.0%
ASCII
ValueCountFrequency (%)
) 151
33.7%
( 147
32.8%
51
 
11.4%
N 5
 
1.1%
1 5
 
1.1%
2 5
 
1.1%
o 5
 
1.1%
C 5
 
1.1%
L 4
 
0.9%
u 4
 
0.9%
Other values (29) 66
14.7%

최종수정시점
Real number (ℝ)

Distinct306
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0152478 × 1013
Minimum2.0040409 × 1013
Maximum2.020123 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-17T00:11:19.038213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040409 × 1013
5-th percentile2.004112 × 1013
Q12.0111124 × 1013
median2.0180102 × 1013
Q32.0191115 × 1013
95-th percentile2.0201025 × 1013
Maximum2.020123 × 1013
Range1.6082117 × 1011
Interquartile range (IQR)7.9991067 × 1010

Descriptive statistics

Standard deviation5.1550812 × 1010
Coefficient of variation (CV)0.0025580384
Kurtosis-0.48073286
Mean2.0152478 × 1013
Median Absolute Deviation (MAD)2.0516981 × 1010
Skewness-0.92784245
Sum6.2271158 × 1015
Variance2.6574863 × 1021
MonotonicityNot monotonic
2024-04-17T00:11:19.181699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20060724000000 2
 
0.6%
20130412101316 2
 
0.6%
20040930000000 2
 
0.6%
20080822173522 1
 
0.3%
20091030175613 1
 
0.3%
20150422183004 1
 
0.3%
20110531134619 1
 
0.3%
20191203172124 1
 
0.3%
20141125173002 1
 
0.3%
20191122093403 1
 
0.3%
Other values (296) 296
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 (%)
20201230172522 1
0.3%
20201228114036 1
0.3%
20201222195430 1
0.3%
20201217163315 1
0.3%
20201215150501 1
0.3%
20201215141539 1
0.3%
20201209174929 1
0.3%
20201202170531 1
0.3%
20201201094808 1
0.3%
20201127154244 1
0.3%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
I
203 
U
106 

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
65.7%
U 106
34.3%

Length

2024-04-17T00:11:19.303640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:11:19.389260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 203
65.7%
u 106
34.3%

데이터갱신일자
Date

Distinct121
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-01 00:23:05
2024-04-17T00:11:19.484459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T00:11:19.603026image/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 size2.5 KiB
건강기능식품유통전문판매업
309 

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 309
100.0%

Length

2024-04-17T00:11:19.722138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:11:19.795988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 309
100.0%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct261
Distinct (%)85.6%
Missing4
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean388883.49
Minimum367538.38
Maximum406963.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-17T00:11:19.876838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367538.38
5-th percentile380055.37
Q1385825.76
median388642.82
Q3391506.83
95-th percentile398710.88
Maximum406963.42
Range39425.045
Interquartile range (IQR)5681.0714

Descriptive statistics

Standard deviation5705.8655
Coefficient of variation (CV)0.014672429
Kurtosis1.2302807
Mean388883.49
Median Absolute Deviation (MAD)2851.2655
Skewness0.27385979
Sum1.1860947 × 108
Variance32556901
MonotonicityNot monotonic
2024-04-17T00:11:19.985926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
395615.201853958 7
 
2.3%
402792.323019555 3
 
1.0%
393527.757337839 3
 
1.0%
381227.565326214 3
 
1.0%
391796.495138673 3
 
1.0%
382570.401135476 3
 
1.0%
393963.840834294 3
 
1.0%
389448.18197321 3
 
1.0%
389687.752262455 2
 
0.6%
386266.811908962 2
 
0.6%
Other values (251) 273
88.3%
(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 

Distinct261
Distinct (%)85.6%
Missing4
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean188139.54
Minimum174577.63
Maximum210890.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-17T00:11:20.092706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174577.63
5-th percentile180130.01
Q1185517.64
median187570.05
Q3190794.01
95-th percentile199334.41
Maximum210890.6
Range36312.961
Interquartile range (IQR)5276.3681

Descriptive statistics

Standard deviation5642.1157
Coefficient of variation (CV)0.029988995
Kurtosis2.2692766
Mean188139.54
Median Absolute Deviation (MAD)2488.5713
Skewness0.95241414
Sum57382560
Variance31833470
MonotonicityNot monotonic
2024-04-17T00:11:20.207926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186406.750870936 7
 
2.3%
199422.531912758 3
 
1.0%
188440.756376893 3
 
1.0%
186046.694334408 3
 
1.0%
183632.373950837 3
 
1.0%
187570.045156033 3
 
1.0%
188061.35516256 3
 
1.0%
189684.688283294 3
 
1.0%
190058.616458739 2
 
0.6%
182178.008160231 2
 
0.6%
Other values (251) 273
88.3%
(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 size2.5 KiB
건강기능식품유통전문판매업
309 

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 309
100.0%

Length

2024-04-17T00:11:20.314330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:11:20.389143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 309
100.0%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
307 
0
 
2

Length

Max length4
Median length4
Mean length3.9805825
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> 307
99.4%
0 2
 
0.6%

Length

2024-04-17T00:11:20.483627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:11:20.570894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 307
99.4%
0 2
 
0.6%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
307 
0
 
2

Length

Max length4
Median length4
Mean length3.9805825
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> 307
99.4%
0 2
 
0.6%

Length

2024-04-17T00:11:20.664045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:11:20.747769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 307
99.4%
0 2
 
0.6%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
288 
상수도전용
 
21

Length

Max length5
Median length4
Mean length4.0679612
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> 288
93.2%
상수도전용 21
 
6.8%

Length

2024-04-17T00:11:20.829656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:11:20.907512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 288
93.2%
상수도전용 21
 
6.8%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

본사종업원수
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
155 
<NA>
152 
6
 
2

Length

Max length4
Median length1
Mean length2.4757282
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 155
50.2%
<NA> 152
49.2%
6 2
 
0.6%

Length

2024-04-17T00:11:21.010694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:11:21.113488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 155
50.2%
na 152
49.2%
6 2
 
0.6%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
155 
<NA>
154 

Length

Max length4
Median length1
Mean length2.4951456
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 155
50.2%
<NA> 154
49.8%

Length

2024-04-17T00:11:21.220578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:11:21.308273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 155
50.2%
na 154
49.8%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
155 
<NA>
154 

Length

Max length4
Median length1
Mean length2.4951456
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 155
50.2%
<NA> 154
49.8%

Length

2024-04-17T00:11:21.395639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:11:21.483004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 155
50.2%
na 154
49.8%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
155 
<NA>
154 

Length

Max length4
Median length1
Mean length2.4951456
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 155
50.2%
<NA> 154
49.8%

Length

2024-04-17T00:11:21.572304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:11:21.657676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 155
50.2%
na 154
49.8%

건물소유구분명
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
245 
자가
35 
임대
29 

Length

Max length4
Median length4
Mean length3.5857605
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 245
79.3%
자가 35
 
11.3%
임대 29
 
9.4%

Length

2024-04-17T00:11:21.759465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:11:21.855318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 245
79.3%
자가 35
 
11.3%
임대 29
 
9.4%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
299 
0
 
10

Length

Max length4
Median length4
Mean length3.9029126
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> 299
96.8%
0 10
 
3.2%

Length

2024-04-17T00:11:21.955304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:11:22.034122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 299
96.8%
0 10
 
3.2%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
299 
0
 
10

Length

Max length4
Median length4
Mean length3.9029126
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> 299
96.8%
0 10
 
3.2%

Length

2024-04-17T00:11:22.117290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:11:22.215887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 299
96.8%
0 10
 
3.2%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size441.0 B
False
309 
ValueCountFrequency (%)
False 309
100.0%
2024-04-17T00:11:22.299415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6243042
Minimum0
Maximum126.34
Zeros281
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-17T00:11:22.384257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20.208
Maximum126.34
Range126.34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.071724
Coefficient of variation (CV)4.158515
Kurtosis27.074947
Mean3.6243042
Median Absolute Deviation (MAD)0
Skewness5.0050465
Sum1119.91
Variance227.15685
MonotonicityNot monotonic
2024-04-17T00:11:22.487077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 281
90.9%
66.0 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 (19) 19
 
6.1%
ValueCountFrequency (%)
0.0 281
90.9%
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 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing309
Missing (%)100.0%
Memory size2.8 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_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>
78건강기능식품유통전문판매업07_22_02_P32600003260000-135-2018-0000220180419<NA>1영업/정상1영업<NA><NA><NA><NA>051 246 010130.00602811부산광역시 서구 동대신동2가 404-1번지 6층부산광역시 서구 대영로 79-2, 6층 (동대신동2가)49217(주)제이앤에이치바이오20190625150241U2019-06-27 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>
89건강기능식품유통전문판매업07_22_02_P32600003260000-135-2004-0000120040604<NA>1영업/정상1영업<NA><NA><NA><NA>051 247 434320.00602811부산광역시 서구 동대신동2가 404-1번지부산광역시 서구 대영로 79-2 (동대신동2가)49217(주)에이엔씨20130118112928I2018-08-31 23:59:59.0건강기능식품유통전문판매업384084.986981180967.766037건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<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
299300건강기능식품유통전문판매업07_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>
300301건강기능식품유통전문판매업07_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>
301302건강기능식품유통전문판매업07_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>
302303건강기능식품유통전문판매업07_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>
303304건강기능식품유통전문판매업07_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>
304305건강기능식품유통전문판매업07_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>
305306건강기능식품유통전문판매업07_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>
306307건강기능식품유통전문판매업07_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>
307308건강기능식품유통전문판매업07_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>
308309건강기능식품유통전문판매업07_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>