Overview

Dataset statistics

Number of variables48
Number of observations317
Missing cells3996
Missing cells (%)26.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory128.6 KiB
Average record size in memory415.4 B

Variable types

Numeric10
Categorical19
Text6
Unsupported11
DateTime1
Boolean1

Dataset

Description2021-04-01
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 (94.5%)Imbalance
여성종사자수 is highly imbalanced (94.5%)Imbalance
급수시설구분명 is highly imbalanced (64.8%)Imbalance
보증액 is highly imbalanced (79.8%)Imbalance
월세액 is highly imbalanced (79.8%)Imbalance
인허가취소일자 has 317 (100.0%) missing valuesMissing
폐업일자 has 120 (37.9%) missing valuesMissing
휴업시작일자 has 317 (100.0%) missing valuesMissing
휴업종료일자 has 317 (100.0%) missing valuesMissing
재개업일자 has 317 (100.0%) missing valuesMissing
소재지전화 has 103 (32.5%) missing valuesMissing
소재지면적 has 132 (41.6%) missing valuesMissing
소재지우편번호 has 8 (2.5%) missing valuesMissing
도로명전체주소 has 67 (21.1%) missing valuesMissing
도로명우편번호 has 68 (21.5%) missing valuesMissing
좌표정보(x) has 5 (1.6%) missing valuesMissing
좌표정보(y) has 5 (1.6%) missing valuesMissing
영업장주변구분명 has 317 (100.0%) missing valuesMissing
등급구분명 has 317 (100.0%) missing valuesMissing
총종업원수 has 317 (100.0%) missing valuesMissing
전통업소지정번호 has 317 (100.0%) missing valuesMissing
전통업소주된음식 has 317 (100.0%) missing valuesMissing
홈페이지 has 317 (100.0%) missing valuesMissing
Unnamed: 47 has 317 (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 289 (91.2%) zerosZeros

Reproduction

Analysis started2024-04-16 15:10:34.748210
Analysis finished2024-04-16 15:10:35.436906
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct317
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159
Minimum1
Maximum317
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:35.494582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.8
Q180
median159
Q3238
95-th percentile301.2
Maximum317
Range316
Interquartile range (IQR)158

Descriptive statistics

Standard deviation91.654242
Coefficient of variation (CV)0.57644177
Kurtosis-1.2
Mean159
Median Absolute Deviation (MAD)79
Skewness0
Sum50403
Variance8400.5
MonotonicityStrictly increasing
2024-04-17T00:10:35.609138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
210 1
 
0.3%
217 1
 
0.3%
216 1
 
0.3%
215 1
 
0.3%
214 1
 
0.3%
213 1
 
0.3%
212 1
 
0.3%
211 1
 
0.3%
209 1
 
0.3%
Other values (307) 307
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 (%)
317 1
0.3%
316 1
0.3%
315 1
0.3%
314 1
0.3%
313 1
0.3%
312 1
0.3%
311 1
0.3%
310 1
0.3%
309 1
0.3%
308 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
건강기능식품유통전문판매업
317 

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 317
100.0%

Length

2024-04-17T00:10:35.727590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:35.818106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 317
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
07_22_02_P
317 

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 317
100.0%

Length

2024-04-17T00:10:35.894559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:35.967276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_02_p 317
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3329337.5
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:36.038349image/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 deviation44078.5
Coefficient of variation (CV)0.013239421
Kurtosis-1.1917949
Mean3329337.5
Median Absolute Deviation (MAD)40000
Skewness0.03901819
Sum1.0554 × 109
Variance1.9429142 × 109
MonotonicityNot monotonic
2024-04-17T00:10:36.131707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3290000 56
17.7%
3370000 40
12.6%
3330000 38
12.0%
3300000 31
9.8%
3390000 26
8.2%
3400000 22
 
6.9%
3350000 19
 
6.0%
3270000 15
 
4.7%
3310000 13
 
4.1%
3250000 13
 
4.1%
Other values (6) 44
13.9%
ValueCountFrequency (%)
3250000 13
 
4.1%
3260000 8
 
2.5%
3270000 15
 
4.7%
3280000 3
 
0.9%
3290000 56
17.7%
3300000 31
9.8%
3310000 13
 
4.1%
3320000 6
 
1.9%
3330000 38
12.0%
3340000 8
 
2.5%
ValueCountFrequency (%)
3400000 22
6.9%
3390000 26
8.2%
3380000 10
 
3.2%
3370000 40
12.6%
3360000 9
 
2.8%
3350000 19
6.0%
3340000 8
 
2.5%
3330000 38
12.0%
3320000 6
 
1.9%
3310000 13
 
4.1%

관리번호
Text

UNIQUE 

Distinct317
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-17T00:10:36.315777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters6974
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

Unique317 ?
Unique (%)100.0%

Sample

1st row3400000-135-2015-00002
2nd row3400000-135-2018-00001
3rd row3400000-135-2014-00001
4th row3400000-135-2013-00003
5th row3400000-135-2013-00004
ValueCountFrequency (%)
3400000-135-2015-00002 1
 
0.3%
3370000-135-2017-00003 1
 
0.3%
3380000-135-2018-00001 1
 
0.3%
3380000-135-2020-00001 1
 
0.3%
3380000-135-2020-00002 1
 
0.3%
3380000-135-2020-00003 1
 
0.3%
3390000-135-2017-00001 1
 
0.3%
3390000-135-2018-00001 1
 
0.3%
3390000-135-2016-00002 1
 
0.3%
3390000-135-2018-00003 1
 
0.3%
Other values (307) 307
96.8%
2024-04-17T00:10:36.601014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3039
43.6%
- 951
 
13.6%
3 929
 
13.3%
1 696
 
10.0%
2 543
 
7.8%
5 392
 
5.6%
9 128
 
1.8%
4 105
 
1.5%
7 87
 
1.2%
6 55
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6023
86.4%
Dash Punctuation 951
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3039
50.5%
3 929
 
15.4%
1 696
 
11.6%
2 543
 
9.0%
5 392
 
6.5%
9 128
 
2.1%
4 105
 
1.7%
7 87
 
1.4%
6 55
 
0.9%
8 49
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 951
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6974
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3039
43.6%
- 951
 
13.6%
3 929
 
13.3%
1 696
 
10.0%
2 543
 
7.8%
5 392
 
5.6%
9 128
 
1.8%
4 105
 
1.5%
7 87
 
1.2%
6 55
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6974
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3039
43.6%
- 951
 
13.6%
3 929
 
13.3%
1 696
 
10.0%
2 543
 
7.8%
5 392
 
5.6%
9 128
 
1.8%
4 105
 
1.5%
7 87
 
1.2%
6 55
 
0.8%

인허가일자
Real number (ℝ)

Distinct278
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20133582
Minimum20040409
Maximum20210217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:36.948309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040409
5-th percentile20040986
Q120090714
median20140730
Q320180330
95-th percentile20200844
Maximum20210217
Range169808
Interquartile range (IQR)89616

Descriptive statistics

Standard deviation51737.672
Coefficient of variation (CV)0.0025697202
Kurtosis-1.0827581
Mean20133582
Median Absolute Deviation (MAD)40213
Skewness-0.38289215
Sum6.3823455 × 109
Variance2.6767867 × 109
MonotonicityNot monotonic
2024-04-17T00:10:37.064823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20150330 3
 
0.9%
20091012 3
 
0.9%
20140509 3
 
0.9%
20160331 3
 
0.9%
20140730 3
 
0.9%
20140102 2
 
0.6%
20130925 2
 
0.6%
20140722 2
 
0.6%
20190826 2
 
0.6%
20150211 2
 
0.6%
Other values (268) 292
92.1%
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 (%)
20210217 1
0.3%
20210216 1
0.3%
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%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
3
197 
1
120 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 197
62.1%
1 120
37.9%

Length

2024-04-17T00:10:37.173171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:37.250376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 197
62.1%
1 120
37.9%

영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
폐업
197 
영업/정상
120 

Length

Max length5
Median length2
Mean length3.1356467
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 197
62.1%
영업/정상 120
37.9%

Length

2024-04-17T00:10:37.332059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:37.409933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 197
62.1%
영업/정상 120
37.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2
197 
1
120 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 197
62.1%
1 120
37.9%

Length

2024-04-17T00:10:37.492073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:37.575012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 197
62.1%
1 120
37.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
폐업
197 
영업
120 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 197
62.1%
영업 120
37.9%

Length

2024-04-17T00:10:37.697712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:37.784650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 197
62.1%
영업 120
37.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct180
Distinct (%)91.4%
Missing120
Missing (%)37.9%
Infinite0
Infinite (%)0.0%
Mean20144340
Minimum20040921
Maximum20210208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:37.881463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040921
5-th percentile20058334
Q120100430
median20160125
Q320190111
95-th percentile20200944
Maximum20210208
Range169287
Interquartile range (IQR)89681

Descriptive statistics

Standard deviation46963.108
Coefficient of variation (CV)0.0023313302
Kurtosis-1.0589299
Mean20144340
Median Absolute Deviation (MAD)31087
Skewness-0.44035212
Sum3.9684351 × 109
Variance2.2055335 × 109
MonotonicityNot monotonic
2024-04-17T00:10:38.003094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190708 4
 
1.3%
20100409 3
 
0.9%
20100324 2
 
0.6%
20100406 2
 
0.6%
20181228 2
 
0.6%
20210106 2
 
0.6%
20181231 2
 
0.6%
20171229 2
 
0.6%
20190729 2
 
0.6%
20100319 2
 
0.6%
Other values (170) 174
54.9%
(Missing) 120
37.9%
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 (%)
20210208 1
0.3%
20210203 1
0.3%
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%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

소재지전화
Text

MISSING 

Distinct185
Distinct (%)86.4%
Missing103
Missing (%)32.5%
Memory size2.6 KiB
2024-04-17T00:10:38.238060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.341121
Min length7

Characters and Unicode

Total characters2427
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

Unique160 ?
Unique (%)74.8%

Sample

1st row051 253 6927
2nd row051 727 0727
3rd row051 751 8687
4th row051 728 3337
5th row051 7275504
ValueCountFrequency (%)
051 158
30.7%
070 23
 
4.5%
751 6
 
1.2%
8946 4
 
0.8%
507 4
 
0.8%
806 4
 
0.8%
02 3
 
0.6%
747 3
 
0.6%
6927 3
 
0.6%
557 3
 
0.6%
Other values (260) 304
59.0%
2024-04-17T00:10:38.602906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 402
16.6%
5 337
13.9%
1 324
13.3%
305
12.6%
7 205
8.4%
8 168
6.9%
2 149
 
6.1%
6 145
 
6.0%
4 140
 
5.8%
3 136
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2122
87.4%
Space Separator 305
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 402
18.9%
5 337
15.9%
1 324
15.3%
7 205
9.7%
8 168
7.9%
2 149
 
7.0%
6 145
 
6.8%
4 140
 
6.6%
3 136
 
6.4%
9 116
 
5.5%
Space Separator
ValueCountFrequency (%)
305
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2427
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 402
16.6%
5 337
13.9%
1 324
13.3%
305
12.6%
7 205
8.4%
8 168
6.9%
2 149
 
6.1%
6 145
 
6.0%
4 140
 
5.8%
3 136
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2427
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 402
16.6%
5 337
13.9%
1 324
13.3%
305
12.6%
7 205
8.4%
8 168
6.9%
2 149
 
6.1%
6 145
 
6.0%
4 140
 
5.8%
3 136
 
5.6%

소재지면적
Text

MISSING 

Distinct162
Distinct (%)87.6%
Missing132
Missing (%)41.6%
Memory size2.6 KiB
2024-04-17T00:10:38.896570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.2108108
Min length3

Characters and Unicode

Total characters964
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

Unique148 ?
Unique (%)80.0%

Sample

1st row40.79
2nd row13.05
3rd row22.08
4th row5.94
5th row94.44
ValueCountFrequency (%)
00 6
 
3.2%
66.00 4
 
2.2%
133.49 3
 
1.6%
100.00 3
 
1.6%
90.00 3
 
1.6%
23.03 2
 
1.1%
102.30 2
 
1.1%
15.99 2
 
1.1%
32.98 2
 
1.1%
25.83 2
 
1.1%
Other values (152) 156
84.3%
2024-04-17T00:10:39.275401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 193
20.0%
. 185
19.2%
1 94
9.8%
2 77
 
8.0%
3 72
 
7.5%
5 71
 
7.4%
4 65
 
6.7%
6 58
 
6.0%
8 52
 
5.4%
9 48
 
5.0%
Other values (2) 49
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 778
80.7%
Other Punctuation 186
 
19.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 193
24.8%
1 94
12.1%
2 77
 
9.9%
3 72
 
9.3%
5 71
 
9.1%
4 65
 
8.4%
6 58
 
7.5%
8 52
 
6.7%
9 48
 
6.2%
7 48
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 185
99.5%
, 1
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 964
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 193
20.0%
. 185
19.2%
1 94
9.8%
2 77
 
8.0%
3 72
 
7.5%
5 71
 
7.4%
4 65
 
6.7%
6 58
 
6.0%
8 52
 
5.4%
9 48
 
5.0%
Other values (2) 49
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 964
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 193
20.0%
. 185
19.2%
1 94
9.8%
2 77
 
8.0%
3 72
 
7.5%
5 71
 
7.4%
4 65
 
6.7%
6 58
 
6.0%
8 52
 
5.4%
9 48
 
5.0%
Other values (2) 49
 
5.1%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct197
Distinct (%)63.8%
Missing8
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean611671.22
Minimum600016
Maximum619952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:39.398408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600016
5-th percentile601806.8
Q1608080
median612050
Q3614850
95-th percentile618815.8
Maximum619952
Range19936
Interquartile range (IQR)6770

Descriptive statistics

Standard deviation5091.8516
Coefficient of variation (CV)0.0083244911
Kurtosis-0.29095935
Mean611671.22
Median Absolute Deviation (MAD)2815
Skewness-0.56081902
Sum1.8900641 × 108
Variance25926953
MonotonicityNot monotonic
2024-04-17T00:10:39.520534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
612824 8
 
2.5%
611839 5
 
1.6%
614853 5
 
1.6%
612020 5
 
1.6%
612050 5
 
1.6%
612727 4
 
1.3%
600816 4
 
1.3%
611831 4
 
1.3%
614836 4
 
1.3%
614847 4
 
1.3%
Other values (187) 261
82.3%
(Missing) 8
 
2.5%
ValueCountFrequency (%)
600016 1
 
0.3%
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%
ValueCountFrequency (%)
619952 2
0.6%
619951 3
0.9%
619913 1
 
0.3%
619912 3
0.9%
619904 2
0.6%
619903 2
0.6%
619902 1
 
0.3%
619872 1
 
0.3%
618817 1
 
0.3%
618814 1
 
0.3%

소재지전체주소
Text

Distinct303
Distinct (%)95.9%
Missing1
Missing (%)0.3%
Memory size2.6 KiB
2024-04-17T00:10:39.728569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length25.93038
Min length16

Characters and Unicode

Total characters8194
Distinct characters247
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

Unique291 ?
Unique (%)92.1%

Sample

1st row부산광역시 기장군 장안읍 월내리 171번지
2nd row부산광역시 기장군 장안읍 장안리 430번지 거북이가든
3rd row부산광역시 기장군 정관읍 모전리 743-8
4th row부산광역시 기장군 기장읍 대라리 494번지
5th row부산광역시 기장군 정관읍 매학리 766-8번지
ValueCountFrequency (%)
부산광역시 316
 
20.6%
부산진구 56
 
3.6%
연제구 40
 
2.6%
해운대구 38
 
2.5%
동래구 31
 
2.0%
연산동 31
 
2.0%
사상구 27
 
1.8%
기장군 22
 
1.4%
우동 19
 
1.2%
금정구 18
 
1.2%
Other values (556) 938
61.1%
2024-04-17T00:10:40.071514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1220
 
14.9%
산 421
 
5.1%
부 411
 
5.0%
1 385
 
4.7%
동 363
 
4.4%
시 328
 
4.0%
광 325
 
4.0%
역 316
 
3.9%
구 307
 
3.7%
지 290
 
3.5%
Other values (237) 3828
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4974
60.7%
Decimal Number 1668
 
20.4%
Space Separator 1220
 
14.9%
Dash Punctuation 264
 
3.2%
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 421
 
8.5%
부 411
 
8.3%
동 363
 
7.3%
시 328
 
6.6%
광 325
 
6.5%
역 316
 
6.4%
구 307
 
6.2%
지 290
 
5.8%
번 269
 
5.4%
연 83
 
1.7%
Other values (212) 1861
37.4%
Decimal Number
ValueCountFrequency (%)
1 385
23.1%
3 197
11.8%
2 193
11.6%
4 166
10.0%
5 162
9.7%
0 149
 
8.9%
7 115
 
6.9%
6 113
 
6.8%
9 96
 
5.8%
8 92
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 5
29.4%
I 4
23.5%
S 3
17.6%
F 1
 
5.9%
C 1
 
5.9%
O 1
 
5.9%
T 1
 
5.9%
A 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
/ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1220
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 264
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 4974
60.7%
Common 3201
39.1%
Latin 19
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 421
 
8.5%
부 411
 
8.3%
동 363
 
7.3%
시 328
 
6.6%
광 325
 
6.5%
역 316
 
6.4%
구 307
 
6.2%
지 290
 
5.8%
번 269
 
5.4%
연 83
 
1.7%
Other values (212) 1861
37.4%
Common
ValueCountFrequency (%)
1220
38.1%
1 385
 
12.0%
- 264
 
8.2%
3 197
 
6.2%
2 193
 
6.0%
4 166
 
5.2%
5 162
 
5.1%
0 149
 
4.7%
7 115
 
3.6%
6 113
 
3.5%
Other values (6) 237
 
7.4%
Latin
ValueCountFrequency (%)
B 5
26.3%
I 4
21.1%
S 3
15.8%
e 2
 
10.5%
F 1
 
5.3%
C 1
 
5.3%
O 1
 
5.3%
T 1
 
5.3%
A 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4974
60.7%
ASCII 3220
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1220
37.9%
1 385
 
12.0%
- 264
 
8.2%
3 197
 
6.1%
2 193
 
6.0%
4 166
 
5.2%
5 162
 
5.0%
0 149
 
4.6%
7 115
 
3.6%
6 113
 
3.5%
Other values (15) 256
 
8.0%
Hangul
ValueCountFrequency (%)
산 421
 
8.5%
부 411
 
8.3%
동 363
 
7.3%
시 328
 
6.6%
광 325
 
6.5%
역 316
 
6.4%
구 307
 
6.2%
지 290
 
5.8%
번 269
 
5.4%
연 83
 
1.7%
Other values (212) 1861
37.4%

도로명전체주소
Text

MISSING 

Distinct241
Distinct (%)96.4%
Missing67
Missing (%)21.1%
Memory size2.6 KiB
2024-04-17T00:10:40.369011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length33.48
Min length21

Characters and Unicode

Total characters8370
Distinct characters280
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

Unique233 ?
Unique (%)93.2%

Sample

1st row부산광역시 기장군 장안읍 해맞이로 367-1, 2층
2nd row부산광역시 기장군 장안읍 상장안2길 9, 거북이가든 1층
3rd row부산광역시 기장군 정관읍 모전3길 13-2, 지하1층
4th row부산광역시 기장군 기장읍 차성로287번길 23
5th row부산광역시 기장군 정관읍 구연2로 25
ValueCountFrequency (%)
부산광역시 250
 
15.5%
부산진구 42
 
2.6%
2층 34
 
2.1%
연제구 32
 
2.0%
해운대구 31
 
1.9%
1층 27
 
1.7%
동래구 24
 
1.5%
연산동 24
 
1.5%
3층 24
 
1.5%
기장군 20
 
1.2%
Other values (629) 1101
68.4%
2024-04-17T00:10:40.819088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1361
 
16.3%
산 340
 
4.1%
부 331
 
4.0%
1 315
 
3.8%
동 305
 
3.6%
시 278
 
3.3%
광 266
 
3.2%
, 261
 
3.1%
역 250
 
3.0%
구 247
 
3.0%
Other values (270) 4416
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4852
58.0%
Space Separator 1361
 
16.3%
Decimal Number 1338
 
16.0%
Other Punctuation 263
 
3.1%
Open Punctuation 243
 
2.9%
Close Punctuation 243
 
2.9%
Dash Punctuation 33
 
0.4%
Uppercase Letter 32
 
0.4%
Lowercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 340
 
7.0%
부 331
 
6.8%
동 305
 
6.3%
시 278
 
5.7%
광 266
 
5.5%
역 250
 
5.2%
구 247
 
5.1%
로 241
 
5.0%
층 159
 
3.3%
대 148
 
3.1%
Other values (237) 2287
47.1%
Uppercase Letter
ValueCountFrequency (%)
B 10
31.2%
A 8
25.0%
S 3
 
9.4%
I 2
 
6.2%
H 2
 
6.2%
F 1
 
3.1%
C 1
 
3.1%
K 1
 
3.1%
E 1
 
3.1%
U 1
 
3.1%
Other values (2) 2
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 315
23.5%
2 210
15.7%
3 159
11.9%
0 136
10.2%
4 110
 
8.2%
5 97
 
7.2%
7 95
 
7.1%
8 75
 
5.6%
6 73
 
5.5%
9 68
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 261
99.2%
* 1
 
0.4%
/ 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 242
99.6%
[ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 242
99.6%
] 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1361
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4852
58.0%
Common 3483
41.6%
Latin 35
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 340
 
7.0%
부 331
 
6.8%
동 305
 
6.3%
시 278
 
5.7%
광 266
 
5.5%
역 250
 
5.2%
구 247
 
5.1%
로 241
 
5.0%
층 159
 
3.3%
대 148
 
3.1%
Other values (237) 2287
47.1%
Common
ValueCountFrequency (%)
1361
39.1%
1 315
 
9.0%
, 261
 
7.5%
( 242
 
6.9%
) 242
 
6.9%
2 210
 
6.0%
3 159
 
4.6%
0 136
 
3.9%
4 110
 
3.2%
5 97
 
2.8%
Other values (10) 350
 
10.0%
Latin
ValueCountFrequency (%)
B 10
28.6%
A 8
22.9%
e 3
 
8.6%
S 3
 
8.6%
I 2
 
5.7%
H 2
 
5.7%
F 1
 
2.9%
C 1
 
2.9%
K 1
 
2.9%
E 1
 
2.9%
Other values (3) 3
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4852
58.0%
ASCII 3518
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1361
38.7%
1 315
 
9.0%
, 261
 
7.4%
( 242
 
6.9%
) 242
 
6.9%
2 210
 
6.0%
3 159
 
4.5%
0 136
 
3.9%
4 110
 
3.1%
5 97
 
2.8%
Other values (23) 385
 
10.9%
Hangul
ValueCountFrequency (%)
산 340
 
7.0%
부 331
 
6.8%
동 305
 
6.3%
시 278
 
5.7%
광 266
 
5.5%
역 250
 
5.2%
구 247
 
5.1%
로 241
 
5.0%
층 159
 
3.3%
대 148
 
3.1%
Other values (237) 2287
47.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct194
Distinct (%)77.9%
Missing68
Missing (%)21.5%
Infinite0
Infinite (%)0.0%
Mean47586.398
Minimum46006
Maximum49516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:40.945798image/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 deviation886.04123
Coefficient of variation (CV)0.018619632
Kurtosis-0.52796329
Mean47586.398
Median Absolute Deviation (MAD)544
Skewness0.0875174
Sum11849013
Variance785069.05
MonotonicityNot monotonic
2024-04-17T00:10:41.065231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48059 7
 
2.2%
48092 7
 
2.2%
48095 4
 
1.3%
47229 3
 
0.9%
47284 3
 
0.9%
46983 3
 
0.9%
46048 3
 
0.9%
46241 2
 
0.6%
46273 2
 
0.6%
46230 2
 
0.6%
Other values (184) 213
67.2%
(Missing) 68
 
21.5%
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
0.9%
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

Distinct277
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-17T00:10:41.286013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length7.6309148
Min length2

Characters and Unicode

Total characters2419
Distinct characters338
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

Unique243 ?
Unique (%)76.7%

Sample

1st row에스엠생명공학(주)
2nd row기장양봉연구회영농조합법인
3rd row네이쳐푸드
4th row(주)제이엔케이 21
5th row네이처21(Nature21)
ValueCountFrequency (%)
주식회사 23
 
6.2%
에스엠생명공학(주 3
 
0.8%
삼성바이오팜 3
 
0.8%
백산유통 3
 
0.8%
네이쳐푸드 3
 
0.8%
주)드림컴퍼니 3
 
0.8%
허브플렛폼 3
 
0.8%
힐링라이프 2
 
0.5%
korea 2
 
0.5%
푸드럭주식회사 2
 
0.5%
Other values (294) 323
87.3%
2024-04-17T00:10:41.596555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 179
 
7.4%
) 154
 
6.4%
( 150
 
6.2%
이 119
 
4.9%
스 69
 
2.9%
53
 
2.2%
에 52
 
2.1%
사 52
 
2.1%
식 46
 
1.9%
오 42
 
1.7%
Other values (328) 1503
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1963
81.1%
Close Punctuation 154
 
6.4%
Open Punctuation 150
 
6.2%
Uppercase Letter 57
 
2.4%
Space Separator 53
 
2.2%
Lowercase Letter 25
 
1.0%
Decimal Number 10
 
0.4%
Other Punctuation 6
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 179
 
9.1%
이 119
 
6.1%
스 69
 
3.5%
에 52
 
2.6%
사 52
 
2.6%
식 46
 
2.3%
오 42
 
2.1%
바 41
 
2.1%
회 39
 
2.0%
리 29
 
1.5%
Other values (289) 1295
66.0%
Uppercase Letter
ValueCountFrequency (%)
C 5
 
8.8%
N 5
 
8.8%
L 4
 
7.0%
S 4
 
7.0%
A 4
 
7.0%
R 4
 
7.0%
B 3
 
5.3%
O 3
 
5.3%
G 3
 
5.3%
K 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%
n 2
 
8.0%
e 2
 
8.0%
t 2
 
8.0%
a 2
 
8.0%
d 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 (%)
) 154
100.0%
Open Punctuation
ValueCountFrequency (%)
( 150
100.0%
Space Separator
ValueCountFrequency (%)
53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1963
81.1%
Common 374
 
15.5%
Latin 82
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 179
 
9.1%
이 119
 
6.1%
스 69
 
3.5%
에 52
 
2.6%
사 52
 
2.6%
식 46
 
2.3%
오 42
 
2.1%
바 41
 
2.1%
회 39
 
2.0%
리 29
 
1.5%
Other values (289) 1295
66.0%
Latin
ValueCountFrequency (%)
C 5
 
6.1%
o 5
 
6.1%
N 5
 
6.1%
u 4
 
4.9%
L 4
 
4.9%
S 4
 
4.9%
A 4
 
4.9%
R 4
 
4.9%
B 3
 
3.7%
O 3
 
3.7%
Other values (21) 41
50.0%
Common
ValueCountFrequency (%)
) 154
41.2%
( 150
40.1%
53
 
14.2%
1 5
 
1.3%
2 5
 
1.3%
. 4
 
1.1%
& 2
 
0.5%
- 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1963
81.1%
ASCII 456
 
18.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 179
 
9.1%
이 119
 
6.1%
스 69
 
3.5%
에 52
 
2.6%
사 52
 
2.6%
식 46
 
2.3%
오 42
 
2.1%
바 41
 
2.1%
회 39
 
2.0%
리 29
 
1.5%
Other values (289) 1295
66.0%
ASCII
ValueCountFrequency (%)
) 154
33.8%
( 150
32.9%
53
 
11.6%
C 5
 
1.1%
o 5
 
1.1%
N 5
 
1.1%
1 5
 
1.1%
2 5
 
1.1%
u 4
 
0.9%
L 4
 
0.9%
Other values (29) 66
14.5%

최종수정시점
Real number (ℝ)

Distinct314
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0154483 × 1013
Minimum2.0040409 × 1013
Maximum2.0210222 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:41.715839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0040409 × 1013
5-th percentile2.0041124 × 1013
Q12.0111215 × 1013
median2.0180306 × 1013
Q32.0191211 × 1013
95-th percentile2.0210106 × 1013
Maximum2.0210222 × 1013
Range1.6981311 × 1011
Interquartile range (IQR)7.9995914 × 1010

Descriptive statistics

Standard deviation5.2055061 × 1010
Coefficient of variation (CV)0.0025828031
Kurtosis-0.43702826
Mean2.0154483 × 1013
Median Absolute Deviation (MAD)2.0499999 × 1010
Skewness-0.93854858
Sum6.3889712 × 1015
Variance2.7097294 × 1021
MonotonicityNot monotonic
2024-04-17T00:10:41.856444image/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%
20191030152232 1
 
0.3%
20180430145916 1
 
0.3%
20210113152542 1
 
0.3%
20201215150501 1
 
0.3%
20180525134032 1
 
0.3%
20200511155756 1
 
0.3%
20210209093825 1
 
0.3%
Other values (304) 304
95.9%
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 (%)
20210222114543 1
0.3%
20210219120321 1
0.3%
20210217144935 1
0.3%
20210216183756 1
0.3%
20210216164830 1
0.3%
20210209093825 1
0.3%
20210208110917 1
0.3%
20210203141542 1
0.3%
20210122115048 1
0.3%
20210122114728 1
0.3%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
I
207 
U
110 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 207
65.3%
U 110
34.7%

Length

2024-04-17T00:10:41.976973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:42.064694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 207
65.3%
u 110
34.7%

데이터갱신일자
Date

Distinct130
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-24 00:23:01
2024-04-17T00:10:42.157003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T00:10:42.292549image/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
317 

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 317
100.0%

Length

2024-04-17T00:10:42.430498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:42.507368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 317
100.0%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct266
Distinct (%)85.3%
Missing5
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean388931.22
Minimum367538.38
Maximum406963.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:42.592240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367538.38
5-th percentile380087.3
Q1385817.64
median388679.16
Q3391506.83
95-th percentile398724.87
Maximum406963.42
Range39425.045
Interquartile range (IQR)5689.1857

Descriptive statistics

Standard deviation5711.7132
Coefficient of variation (CV)0.014685664
Kurtosis1.1973426
Mean388931.22
Median Absolute Deviation (MAD)2834.4018
Skewness0.2842122
Sum1.2134654 × 108
Variance32623668
MonotonicityNot monotonic
2024-04-17T00:10:42.735585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
395615.201853958 7
 
2.2%
382570.401135476 3
 
0.9%
389448.18197321 3
 
0.9%
393527.757337839 3
 
0.9%
393963.840834294 3
 
0.9%
391796.495138673 3
 
0.9%
381227.565326214 3
 
0.9%
402792.323019555 3
 
0.9%
387750.084943642 2
 
0.6%
385617.137705097 2
 
0.6%
Other values (256) 280
88.3%
(Missing) 5
 
1.6%
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
0.9%
402534.192884314 1
 
0.3%
401472.195346847 1
 
0.3%
401376.628092168 1
 
0.3%
401306.622050374 1
 
0.3%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct266
Distinct (%)85.3%
Missing5
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean188112.3
Minimum174577.63
Maximum210890.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:42.861532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174577.63
5-th percentile180124.06
Q1185444.75
median187570.05
Q3190716.7
95-th percentile199327.07
Maximum210890.6
Range36312.961
Interquartile range (IQR)5271.9565

Descriptive statistics

Standard deviation5644.0293
Coefficient of variation (CV)0.030003509
Kurtosis2.209363
Mean188112.3
Median Absolute Deviation (MAD)2589.9677
Skewness0.93889011
Sum58691039
Variance31855066
MonotonicityNot monotonic
2024-04-17T00:10:42.985163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186406.750870936 7
 
2.2%
187570.045156033 3
 
0.9%
189684.688283294 3
 
0.9%
188440.756376893 3
 
0.9%
188061.35516256 3
 
0.9%
183632.373950837 3
 
0.9%
186046.694334408 3
 
0.9%
199422.531912758 3
 
0.9%
186671.210186448 2
 
0.6%
180818.494927285 2
 
0.6%
Other values (256) 280
88.3%
(Missing) 5
 
1.6%
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
0.9%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
건강기능식품유통전문판매업
317 

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 317
100.0%

Length

2024-04-17T00:10:43.103858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:43.437658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 317
100.0%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
315 
0
 
2

Length

Max length4
Median length4
Mean length3.9810726
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> 315
99.4%
0 2
 
0.6%

Length

2024-04-17T00:10:43.525975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:43.612353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 315
99.4%
0 2
 
0.6%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
315 
0
 
2

Length

Max length4
Median length4
Mean length3.9810726
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> 315
99.4%
0 2
 
0.6%

Length

2024-04-17T00:10:43.712793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:43.802863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 315
99.4%
0 2
 
0.6%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
296 
상수도전용
 
21

Length

Max length5
Median length4
Mean length4.0662461
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 296
93.4%
상수도전용 21
 
6.6%

Length

2024-04-17T00:10:43.885824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:43.963176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 296
93.4%
상수도전용 21
 
6.6%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

본사종업원수
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
158 
0
157 
6
 
2

Length

Max length4
Median length1
Mean length2.4952681
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 158
49.8%
0 157
49.5%
6 2
 
0.6%

Length

2024-04-17T00:10:44.052924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:44.141001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 158
49.8%
0 157
49.5%
6 2
 
0.6%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
160 
0
157 

Length

Max length4
Median length4
Mean length2.5141956
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 160
50.5%
0 157
49.5%

Length

2024-04-17T00:10:44.230066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:44.311199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 160
50.5%
0 157
49.5%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
160 
0
157 

Length

Max length4
Median length4
Mean length2.5141956
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 160
50.5%
0 157
49.5%

Length

2024-04-17T00:10:44.394749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:44.485658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 160
50.5%
0 157
49.5%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
160 
0
157 

Length

Max length4
Median length4
Mean length2.5141956
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 160
50.5%
0 157
49.5%

Length

2024-04-17T00:10:44.574975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:44.664834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 160
50.5%
0 157
49.5%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
253 
자가
35 
임대
29 

Length

Max length4
Median length4
Mean length3.5962145
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 253
79.8%
자가 35
 
11.0%
임대 29
 
9.1%

Length

2024-04-17T00:10:44.761674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:44.873715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 253
79.8%
자가 35
 
11.0%
임대 29
 
9.1%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
307 
0
 
10

Length

Max length4
Median length4
Mean length3.9053628
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
96.8%
0 10
 
3.2%

Length

2024-04-17T00:10:44.968127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:45.051323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 307
96.8%
0 10
 
3.2%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
307 
0
 
10

Length

Max length4
Median length4
Mean length3.9053628
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
96.8%
0 10
 
3.2%

Length

2024-04-17T00:10:45.140419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T00:10:45.224703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 307
96.8%
0 10
 
3.2%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size449.0 B
False
317 
ValueCountFrequency (%)
False 317
100.0%
2024-04-17T00:10:45.290725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7154259
Minimum0
Maximum126.34
Zeros289
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-17T00:10:45.364361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile23.064
Maximum126.34
Range126.34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.407085
Coefficient of variation (CV)4.1467884
Kurtosis25.21798
Mean3.7154259
Median Absolute Deviation (MAD)0
Skewness4.8658203
Sum1177.79
Variance237.37826
MonotonicityNot monotonic
2024-04-17T00:10:45.467629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 289
91.2%
22.08 1
 
0.3%
66.0 1
 
0.3%
16.5 1
 
0.3%
75.28 1
 
0.3%
27.0 1
 
0.3%
126.34 1
 
0.3%
66.27 1
 
0.3%
83.87 1
 
0.3%
13.6 1
 
0.3%
Other values (19) 19
 
6.0%
ValueCountFrequency (%)
0.0 289
91.2%
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%
75.28 1
0.3%
66.27 1
0.3%
66.0 1
0.3%
63.41 1
0.3%
60.0 1
0.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing317
Missing (%)100.0%
Memory size2.9 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
01건강기능식품유통전문판매업07_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>
12건강기능식품유통전문판매업07_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>
23건강기능식품유통전문판매업07_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>
34건강기능식품유통전문판매업07_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>
45건강기능식품유통전문판매업07_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>
56건강기능식품유통전문판매업07_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>
67건강기능식품유통전문판매업07_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>
78건강기능식품유통전문판매업07_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>
89건강기능식품유통전문판매업07_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>
910건강기능식품유통전문판매업07_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>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
307308건강기능식품유통전문판매업07_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>
308309건강기능식품유통전문판매업07_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>
309310건강기능식품유통전문판매업07_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>
310311건강기능식품유통전문판매업07_22_02_P32500003250000-135-2019-0000420191016<NA>1영업/정상1영업<NA><NA><NA><NA>025102499<NA>600016부산광역시 중구 중앙동6가 2 씨제이대한통운빌딩부산광역시 중구 대교로 119, 씨제이대한통운빌딩 4층 (중앙동6가)48943(주)씨제이텔레닉스20210216164830I2021-02-18 00:23:22.0건강기능식품유통전문판매업385699.918526179869.356251건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
311312건강기능식품유통전문판매업07_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>
312313건강기능식품유통전문판매업07_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>
313314건강기능식품유통전문판매업07_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>
314315건강기능식품유통전문판매업07_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>
315316건강기능식품유통전문판매업07_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>
316317건강기능식품유통전문판매업07_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>