Overview

Dataset statistics

Number of variables48
Number of observations1779
Missing cells25892
Missing cells (%)30.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory721.1 KiB
Average record size in memory415.1 B

Variable types

Numeric11
Categorical16
Text6
Unsupported13
DateTime1
Boolean1

Dataset

Description2021-05-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123094

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
급수시설구분명 is highly imbalanced (68.5%)Imbalance
공장사무직종업원수 is highly imbalanced (55.8%)Imbalance
공장생산직종업원수 is highly imbalanced (60.4%)Imbalance
보증액 is highly imbalanced (98.7%)Imbalance
월세액 is highly imbalanced (98.7%)Imbalance
인허가취소일자 has 1779 (100.0%) missing valuesMissing
폐업일자 has 827 (46.5%) missing valuesMissing
휴업시작일자 has 1779 (100.0%) missing valuesMissing
휴업종료일자 has 1779 (100.0%) missing valuesMissing
재개업일자 has 1779 (100.0%) missing valuesMissing
소재지전화 has 572 (32.2%) missing valuesMissing
소재지면적 has 191 (10.7%) missing valuesMissing
소재지우편번호 has 50 (2.8%) missing valuesMissing
도로명전체주소 has 157 (8.8%) missing valuesMissing
도로명우편번호 has 180 (10.1%) missing valuesMissing
좌표정보(x) has 20 (1.1%) missing valuesMissing
좌표정보(y) has 20 (1.1%) missing valuesMissing
남성종사자수 has 1779 (100.0%) missing valuesMissing
여성종사자수 has 1779 (100.0%) missing valuesMissing
영업장주변구분명 has 1779 (100.0%) missing valuesMissing
등급구분명 has 1779 (100.0%) missing valuesMissing
총종업원수 has 1779 (100.0%) missing valuesMissing
본사종업원수 has 745 (41.9%) missing valuesMissing
전통업소지정번호 has 1779 (100.0%) missing valuesMissing
전통업소주된음식 has 1779 (100.0%) missing valuesMissing
홈페이지 has 1779 (100.0%) missing valuesMissing
Unnamed: 47 has 1779 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 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
남성종사자수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
여성종사자수 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
본사종업원수 has 1018 (57.2%) zerosZeros
시설총규모 has 1281 (72.0%) zerosZeros

Reproduction

Analysis started2024-04-17 12:02:36.092291
Analysis finished2024-04-17 12:02:36.957358
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1779
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean890
Minimum1
Maximum1779
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2024-04-17T21:02:37.014044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile89.9
Q1445.5
median890
Q31334.5
95-th percentile1690.1
Maximum1779
Range1778
Interquartile range (IQR)889

Descriptive statistics

Standard deviation513.69738
Coefficient of variation (CV)0.57718807
Kurtosis-1.2
Mean890
Median Absolute Deviation (MAD)445
Skewness0
Sum1583310
Variance263885
MonotonicityStrictly increasing
2024-04-17T21:02:37.123256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1184 1
 
0.1%
1195 1
 
0.1%
1194 1
 
0.1%
1193 1
 
0.1%
1192 1
 
0.1%
1191 1
 
0.1%
1190 1
 
0.1%
1189 1
 
0.1%
1188 1
 
0.1%
Other values (1769) 1769
99.4%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1779 1
0.1%
1778 1
0.1%
1777 1
0.1%
1776 1
0.1%
1775 1
0.1%
1774 1
0.1%
1773 1
0.1%
1772 1
0.1%
1771 1
0.1%
1770 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
집단급식소식품판매업
1779 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소식품판매업 1779
100.0%

Length

2024-04-17T21:02:37.243036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:02:37.320454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소식품판매업 1779
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
07_22_01_P
1779 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_01_P
2nd row07_22_01_P
3rd row07_22_01_P
4th row07_22_01_P
5th row07_22_01_P

Common Values

ValueCountFrequency (%)
07_22_01_P 1779
100.0%

Length

2024-04-17T21:02:37.403339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:02:37.481281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_01_p 1779
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3342720.6
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2024-04-17T21:02:37.559592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3279000
Q13320000
median3350000
Q33360000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation37125.575
Coefficient of variation (CV)0.011106395
Kurtosis-0.47299361
Mean3342720.6
Median Absolute Deviation (MAD)20000
Skewness-0.42293245
Sum5.9467 × 109
Variance1.3783083 × 109
MonotonicityNot monotonic
2024-04-17T21:02:37.655833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3360000 361
20.3%
3330000 242
13.6%
3390000 191
10.7%
3340000 158
8.9%
3290000 155
8.7%
3350000 128
 
7.2%
3400000 120
 
6.7%
3300000 108
 
6.1%
3320000 71
 
4.0%
3380000 60
 
3.4%
Other values (6) 185
10.4%
ValueCountFrequency (%)
3250000 20
 
1.1%
3260000 48
 
2.7%
3270000 21
 
1.2%
3280000 11
 
0.6%
3290000 155
8.7%
3300000 108
6.1%
3310000 28
 
1.6%
3320000 71
 
4.0%
3330000 242
13.6%
3340000 158
8.9%
ValueCountFrequency (%)
3400000 120
 
6.7%
3390000 191
10.7%
3380000 60
 
3.4%
3370000 57
 
3.2%
3360000 361
20.3%
3350000 128
 
7.2%
3340000 158
8.9%
3330000 242
13.6%
3320000 71
 
4.0%
3310000 28
 
1.6%

관리번호
Text

UNIQUE 

Distinct1779
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
2024-04-17T21:02:37.816928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters39138
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

Unique1779 ?
Unique (%)100.0%

Sample

1st row3400000-122-2018-00009
2nd row3400000-122-2010-00002
3rd row3400000-122-2009-00006
4th row3400000-122-2008-00006
5th row3400000-122-2008-00005
ValueCountFrequency (%)
3400000-122-2018-00009 1
 
0.1%
3360000-122-2020-00015 1
 
0.1%
3360000-122-2020-00001 1
 
0.1%
3360000-122-2020-00019 1
 
0.1%
3360000-122-2020-00020 1
 
0.1%
3360000-122-2020-00018 1
 
0.1%
3360000-122-2020-00021 1
 
0.1%
3360000-122-2020-00013 1
 
0.1%
3360000-122-2020-00014 1
 
0.1%
3360000-122-2020-00026 1
 
0.1%
Other values (1769) 1769
99.4%
2024-04-17T21:02:38.096238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16359
41.8%
2 6326
 
16.2%
- 5337
 
13.6%
1 3903
 
10.0%
3 3865
 
9.9%
9 700
 
1.8%
6 669
 
1.7%
8 623
 
1.6%
4 594
 
1.5%
5 443
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33801
86.4%
Dash Punctuation 5337
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16359
48.4%
2 6326
 
18.7%
1 3903
 
11.5%
3 3865
 
11.4%
9 700
 
2.1%
6 669
 
2.0%
8 623
 
1.8%
4 594
 
1.8%
5 443
 
1.3%
7 319
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 5337
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39138
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16359
41.8%
2 6326
 
16.2%
- 5337
 
13.6%
1 3903
 
10.0%
3 3865
 
9.9%
9 700
 
1.8%
6 669
 
1.7%
8 623
 
1.6%
4 594
 
1.5%
5 443
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39138
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16359
41.8%
2 6326
 
16.2%
- 5337
 
13.6%
1 3903
 
10.0%
3 3865
 
9.9%
9 700
 
1.8%
6 669
 
1.7%
8 623
 
1.6%
4 594
 
1.5%
5 443
 
1.1%

인허가일자
Real number (ℝ)

Distinct1123
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20133435
Minimum20080313
Maximum20210325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2024-04-17T21:02:38.220786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080313
5-th percentile20080701
Q120100307
median20130304
Q320170518
95-th percentile20200316
Maximum20210325
Range130012
Interquartile range (IQR)70210.5

Descriptive statistics

Standard deviation40213.642
Coefficient of variation (CV)0.0019973562
Kurtosis-1.1991787
Mean20133435
Median Absolute Deviation (MAD)39187
Skewness0.24948446
Sum3.5817381 × 1010
Variance1.617137 × 109
MonotonicityNot monotonic
2024-04-17T21:02:38.341563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080812 11
 
0.6%
20080825 10
 
0.6%
20110215 8
 
0.4%
20080819 7
 
0.4%
20080912 7
 
0.4%
20080902 7
 
0.4%
20130729 6
 
0.3%
20091021 6
 
0.3%
20080820 6
 
0.3%
20080814 6
 
0.3%
Other values (1113) 1705
95.8%
ValueCountFrequency (%)
20080313 1
0.1%
20080317 1
0.1%
20080318 2
0.1%
20080319 1
0.1%
20080321 1
0.1%
20080324 2
0.1%
20080325 1
0.1%
20080327 1
0.1%
20080407 2
0.1%
20080408 2
0.1%
ValueCountFrequency (%)
20210325 1
 
0.1%
20210322 3
0.2%
20210318 1
 
0.1%
20210316 1
 
0.1%
20210315 1
 
0.1%
20210311 2
0.1%
20210305 1
 
0.1%
20210303 2
0.1%
20210222 1
 
0.1%
20210219 3
0.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1779
Missing (%)100.0%
Memory size15.8 KiB
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
3
952 
1
827 

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 (%)
3 952
53.5%
1 827
46.5%

Length

2024-04-17T21:02:38.448465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:02:38.527664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 952
53.5%
1 827
46.5%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
폐업
952 
영업/정상
827 

Length

Max length5
Median length2
Mean length3.3946037
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 952
53.5%
영업/정상 827
46.5%

Length

2024-04-17T21:02:38.612632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:02:38.703427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 952
53.5%
영업/정상 827
46.5%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
2
952 
1
827 

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 (%)
2 952
53.5%
1 827
46.5%

Length

2024-04-17T21:02:38.787640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:02:38.867088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 952
53.5%
1 827
46.5%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
폐업
952 
영업
827 

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 952
53.5%
영업 827
46.5%

Length

2024-04-17T21:02:38.948879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:02:39.031060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 952
53.5%
영업 827
46.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct741
Distinct (%)77.8%
Missing827
Missing (%)46.5%
Infinite0
Infinite (%)0.0%
Mean20156863
Minimum20080814
Maximum20210330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2024-04-17T21:02:39.133572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080814
5-th percentile20100414
Q120130820
median20160619
Q320181017
95-th percentile20201006
Maximum20210330
Range129516
Interquartile range (IQR)50197

Descriptive statistics

Standard deviation32263.133
Coefficient of variation (CV)0.0016006029
Kurtosis-0.89690917
Mean20156863
Median Absolute Deviation (MAD)29582
Skewness-0.29268945
Sum1.9189334 × 1010
Variance1.0409097 × 109
MonotonicityNot monotonic
2024-04-17T21:02:39.255267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20171213 11
 
0.6%
20140102 7
 
0.4%
20160803 6
 
0.3%
20201006 6
 
0.3%
20200521 6
 
0.3%
20170210 5
 
0.3%
20150721 5
 
0.3%
20190201 5
 
0.3%
20201211 4
 
0.2%
20140725 4
 
0.2%
Other values (731) 893
50.2%
(Missing) 827
46.5%
ValueCountFrequency (%)
20080814 1
0.1%
20080829 1
0.1%
20080901 1
0.1%
20080926 1
0.1%
20081224 1
0.1%
20090106 2
0.1%
20090120 1
0.1%
20090130 1
0.1%
20090203 1
0.1%
20090212 1
0.1%
ValueCountFrequency (%)
20210330 1
 
0.1%
20210324 2
0.1%
20210315 1
 
0.1%
20210311 1
 
0.1%
20210304 3
0.2%
20210303 1
 
0.1%
20210302 1
 
0.1%
20210222 3
0.2%
20210216 1
 
0.1%
20210210 1
 
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1779
Missing (%)100.0%
Memory size15.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1779
Missing (%)100.0%
Memory size15.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1779
Missing (%)100.0%
Memory size15.8 KiB

소재지전화
Text

MISSING 

Distinct1031
Distinct (%)85.4%
Missing572
Missing (%)32.2%
Memory size14.0 KiB
2024-04-17T21:02:39.723857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.763877
Min length3

Characters and Unicode

Total characters14199
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

Unique889 ?
Unique (%)73.7%

Sample

1st row0517229433
2nd row051 727 2095
3rd row051 727 8827
4th row051 727 2740
5th row051 727 8712
ValueCountFrequency (%)
051 1051
32.1%
070 82
 
2.5%
666 42
 
1.3%
941 31
 
0.9%
831 24
 
0.7%
972 24
 
0.7%
973 20
 
0.6%
727 19
 
0.6%
271 14
 
0.4%
971 13
 
0.4%
Other values (1203) 1953
59.7%
2024-04-17T21:02:40.078974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2135
15.0%
2077
14.6%
5 2071
14.6%
1 2067
14.6%
2 991
7.0%
7 967
6.8%
3 948
6.7%
6 833
 
5.9%
8 800
 
5.6%
4 690
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12122
85.4%
Space Separator 2077
 
14.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2135
17.6%
5 2071
17.1%
1 2067
17.1%
2 991
8.2%
7 967
8.0%
3 948
7.8%
6 833
 
6.9%
8 800
 
6.6%
4 690
 
5.7%
9 620
 
5.1%
Space Separator
ValueCountFrequency (%)
2077
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14199
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2135
15.0%
2077
14.6%
5 2071
14.6%
1 2067
14.6%
2 991
7.0%
7 967
6.8%
3 948
6.7%
6 833
 
5.9%
8 800
 
5.6%
4 690
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14199
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2135
15.0%
2077
14.6%
5 2071
14.6%
1 2067
14.6%
2 991
7.0%
7 967
6.8%
3 948
6.7%
6 833
 
5.9%
8 800
 
5.6%
4 690
 
4.9%

소재지면적
Text

MISSING 

Distinct1208
Distinct (%)76.1%
Missing191
Missing (%)10.7%
Memory size14.0 KiB
2024-04-17T21:02:40.397323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.2323678
Min length3

Characters and Unicode

Total characters8309
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

Unique1028 ?
Unique (%)64.7%

Sample

1st row33.00
2nd row45.00
3rd row35.10
4th row34.97
5th row212.04
ValueCountFrequency (%)
00 21
 
1.3%
33.00 20
 
1.3%
36.00 12
 
0.8%
60.00 12
 
0.8%
50.00 10
 
0.6%
66.00 10
 
0.6%
30.00 9
 
0.6%
45.00 8
 
0.5%
20.00 8
 
0.5%
99.00 7
 
0.4%
Other values (1198) 1471
92.6%
2024-04-17T21:02:40.820650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1588
19.1%
0 1462
17.6%
1 790
9.5%
2 706
8.5%
4 642
7.7%
3 630
 
7.6%
5 595
 
7.2%
6 530
 
6.4%
8 475
 
5.7%
9 447
 
5.4%
Other values (2) 444
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6709
80.7%
Other Punctuation 1600
 
19.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1462
21.8%
1 790
11.8%
2 706
10.5%
4 642
9.6%
3 630
9.4%
5 595
8.9%
6 530
 
7.9%
8 475
 
7.1%
9 447
 
6.7%
7 432
 
6.4%
Other Punctuation
ValueCountFrequency (%)
. 1588
99.2%
, 12
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Common 8309
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1588
19.1%
0 1462
17.6%
1 790
9.5%
2 706
8.5%
4 642
7.7%
3 630
 
7.6%
5 595
 
7.2%
6 530
 
6.4%
8 475
 
5.7%
9 447
 
5.4%
Other values (2) 444
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8309
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1588
19.1%
0 1462
17.6%
1 790
9.5%
2 706
8.5%
4 642
7.7%
3 630
 
7.6%
5 595
 
7.2%
6 530
 
6.4%
8 475
 
5.7%
9 447
 
5.4%
Other values (2) 444
 
5.3%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct404
Distinct (%)23.4%
Missing50
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean613300.63
Minimum600041
Maximum619953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2024-04-17T21:02:40.943598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600041
5-th percentile602833
Q1609809
median613825
Q3618142
95-th percentile618817.8
Maximum619953
Range19912
Interquartile range (IQR)8333

Descriptive statistics

Standard deviation5290.1062
Coefficient of variation (CV)0.0086256331
Kurtosis-0.67661507
Mean613300.63
Median Absolute Deviation (MAD)4017
Skewness-0.63996658
Sum1.0603968 × 109
Variance27985224
MonotonicityNot monotonic
2024-04-17T21:02:41.073339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
618803 87
 
4.9%
617831 86
 
4.8%
612810 80
 
4.5%
612809 63
 
3.5%
618805 55
 
3.1%
618806 43
 
2.4%
614843 35
 
2.0%
604817 29
 
1.6%
607825 29
 
1.6%
618808 27
 
1.5%
Other values (394) 1195
67.2%
(Missing) 50
 
2.8%
ValueCountFrequency (%)
600041 5
0.3%
600042 1
 
0.1%
600044 5
0.3%
600717 1
 
0.1%
600800 1
 
0.1%
600801 1
 
0.1%
600804 1
 
0.1%
600806 1
 
0.1%
600809 1
 
0.1%
600811 1
 
0.1%
ValueCountFrequency (%)
619953 8
0.4%
619952 4
0.2%
619951 6
0.3%
619913 4
0.2%
619912 6
0.3%
619911 3
 
0.2%
619906 8
0.4%
619905 7
0.4%
619904 6
0.3%
619903 5
0.3%
Distinct1474
Distinct (%)83.0%
Missing3
Missing (%)0.2%
Memory size14.0 KiB
2024-04-17T21:02:41.380946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length46
Mean length24.419482
Min length17

Characters and Unicode

Total characters43369
Distinct characters286
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

Unique1310 ?
Unique (%)73.8%

Sample

1st row부산광역시 기장군 기장읍 만화리 275-1번지 1층
2nd row부산광역시 기장군 기장읍 동부리 152-5번지
3rd row부산광역시 기장군 기장읍 청강리 110-5번지
4th row부산광역시 기장군 장안읍 월내리 132-49번지 103호
5th row부산광역시 기장군 장안읍 월내리 177-7번지
ValueCountFrequency (%)
부산광역시 1776
 
21.4%
강서구 361
 
4.3%
해운대구 241
 
2.9%
대저1동 196
 
2.4%
1층 192
 
2.3%
사상구 190
 
2.3%
반여동 161
 
1.9%
사하구 158
 
1.9%
부산진구 155
 
1.9%
금정구 127
 
1.5%
Other values (1778) 4744
57.1%
2024-04-17T21:02:41.809644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6527
 
15.0%
2219
 
5.1%
2118
 
4.9%
1 2068
 
4.8%
1996
 
4.6%
1827
 
4.2%
1810
 
4.2%
1776
 
4.1%
1757
 
4.1%
1644
 
3.8%
Other values (276) 19627
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26006
60.0%
Decimal Number 9062
 
20.9%
Space Separator 6527
 
15.0%
Dash Punctuation 1481
 
3.4%
Close Punctuation 84
 
0.2%
Open Punctuation 84
 
0.2%
Other Punctuation 71
 
0.2%
Uppercase Letter 50
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2219
 
8.5%
2118
 
8.1%
1996
 
7.7%
1827
 
7.0%
1810
 
7.0%
1776
 
6.8%
1757
 
6.8%
1644
 
6.3%
1556
 
6.0%
575
 
2.2%
Other values (244) 8728
33.6%
Uppercase Letter
ValueCountFrequency (%)
B 21
42.0%
A 15
30.0%
C 4
 
8.0%
D 2
 
4.0%
T 2
 
4.0%
K 1
 
2.0%
W 1
 
2.0%
Y 1
 
2.0%
F 1
 
2.0%
O 1
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 2068
22.8%
2 1262
13.9%
3 950
10.5%
4 921
10.2%
5 825
 
9.1%
6 686
 
7.6%
0 603
 
6.7%
7 595
 
6.6%
9 586
 
6.5%
8 566
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 58
81.7%
@ 6
 
8.5%
/ 2
 
2.8%
. 2
 
2.8%
& 2
 
2.8%
: 1
 
1.4%
Space Separator
ValueCountFrequency (%)
6527
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1481
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26006
60.0%
Common 17313
39.9%
Latin 50
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2219
 
8.5%
2118
 
8.1%
1996
 
7.7%
1827
 
7.0%
1810
 
7.0%
1776
 
6.8%
1757
 
6.8%
1644
 
6.3%
1556
 
6.0%
575
 
2.2%
Other values (244) 8728
33.6%
Common
ValueCountFrequency (%)
6527
37.7%
1 2068
 
11.9%
- 1481
 
8.6%
2 1262
 
7.3%
3 950
 
5.5%
4 921
 
5.3%
5 825
 
4.8%
6 686
 
4.0%
0 603
 
3.5%
7 595
 
3.4%
Other values (11) 1395
 
8.1%
Latin
ValueCountFrequency (%)
B 21
42.0%
A 15
30.0%
C 4
 
8.0%
D 2
 
4.0%
T 2
 
4.0%
K 1
 
2.0%
W 1
 
2.0%
Y 1
 
2.0%
F 1
 
2.0%
O 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26006
60.0%
ASCII 17363
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6527
37.6%
1 2068
 
11.9%
- 1481
 
8.5%
2 1262
 
7.3%
3 950
 
5.5%
4 921
 
5.3%
5 825
 
4.8%
6 686
 
4.0%
0 603
 
3.5%
7 595
 
3.4%
Other values (22) 1445
 
8.3%
Hangul
ValueCountFrequency (%)
2219
 
8.5%
2118
 
8.1%
1996
 
7.7%
1827
 
7.0%
1810
 
7.0%
1776
 
6.8%
1757
 
6.8%
1644
 
6.3%
1556
 
6.0%
575
 
2.2%
Other values (244) 8728
33.6%

도로명전체주소
Text

MISSING 

Distinct1430
Distinct (%)88.2%
Missing157
Missing (%)8.8%
Memory size14.0 KiB
2024-04-17T21:02:42.085787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length57
Mean length32.404439
Min length19

Characters and Unicode

Total characters52560
Distinct characters327
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

Unique1300 ?
Unique (%)80.1%

Sample

1st row부산광역시 기장군 기장읍 동서길 20
2nd row부산광역시 기장군 기장읍 차성로344번길 42
3rd row부산광역시 기장군 장안읍 월내해안2길 7 (103호)
4th row부산광역시 기장군 정관읍 방곡로 55-20 (2층)
5th row부산광역시 기장군 장안읍 월내해안1길 6, 1층
ValueCountFrequency (%)
부산광역시 1622
 
16.4%
1층 470
 
4.8%
강서구 342
 
3.5%
해운대구 230
 
2.3%
대저1동 192
 
1.9%
사상구 165
 
1.7%
반여동 157
 
1.6%
2층 150
 
1.5%
사하구 142
 
1.4%
부산진구 136
 
1.4%
Other values (1793) 6280
63.5%
2024-04-17T21:02:42.482805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8271
 
15.7%
1 2492
 
4.7%
2144
 
4.1%
2084
 
4.0%
2052
 
3.9%
1803
 
3.4%
1664
 
3.2%
1623
 
3.1%
1621
 
3.1%
( 1595
 
3.0%
Other values (317) 27211
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30439
57.9%
Decimal Number 8886
 
16.9%
Space Separator 8271
 
15.7%
Open Punctuation 1595
 
3.0%
Close Punctuation 1594
 
3.0%
Other Punctuation 1317
 
2.5%
Dash Punctuation 381
 
0.7%
Uppercase Letter 67
 
0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2144
 
7.0%
2084
 
6.8%
2052
 
6.7%
1803
 
5.9%
1664
 
5.5%
1623
 
5.3%
1621
 
5.3%
1520
 
5.0%
1042
 
3.4%
974
 
3.2%
Other values (286) 13912
45.7%
Decimal Number
ValueCountFrequency (%)
1 2492
28.0%
2 1380
15.5%
3 991
 
11.2%
5 703
 
7.9%
6 644
 
7.2%
4 622
 
7.0%
0 614
 
6.9%
7 546
 
6.1%
9 452
 
5.1%
8 442
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 33
49.3%
A 19
28.4%
C 6
 
9.0%
T 2
 
3.0%
D 2
 
3.0%
Y 1
 
1.5%
W 1
 
1.5%
O 1
 
1.5%
K 1
 
1.5%
G 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 1306
99.2%
: 4
 
0.3%
. 3
 
0.2%
/ 2
 
0.2%
@ 1
 
0.1%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8271
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1595
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1594
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 381
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30439
57.9%
Common 22054
42.0%
Latin 67
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2144
 
7.0%
2084
 
6.8%
2052
 
6.7%
1803
 
5.9%
1664
 
5.5%
1623
 
5.3%
1621
 
5.3%
1520
 
5.0%
1042
 
3.4%
974
 
3.2%
Other values (286) 13912
45.7%
Common
ValueCountFrequency (%)
8271
37.5%
1 2492
 
11.3%
( 1595
 
7.2%
) 1594
 
7.2%
2 1380
 
6.3%
, 1306
 
5.9%
3 991
 
4.5%
5 703
 
3.2%
6 644
 
2.9%
4 622
 
2.8%
Other values (11) 2456
 
11.1%
Latin
ValueCountFrequency (%)
B 33
49.3%
A 19
28.4%
C 6
 
9.0%
T 2
 
3.0%
D 2
 
3.0%
Y 1
 
1.5%
W 1
 
1.5%
O 1
 
1.5%
K 1
 
1.5%
G 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30439
57.9%
ASCII 22121
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8271
37.4%
1 2492
 
11.3%
( 1595
 
7.2%
) 1594
 
7.2%
2 1380
 
6.2%
, 1306
 
5.9%
3 991
 
4.5%
5 703
 
3.2%
6 644
 
2.9%
4 622
 
2.8%
Other values (21) 2523
 
11.4%
Hangul
ValueCountFrequency (%)
2144
 
7.0%
2084
 
6.8%
2052
 
6.7%
1803
 
5.9%
1664
 
5.5%
1623
 
5.3%
1621
 
5.3%
1520
 
5.0%
1042
 
3.4%
974
 
3.2%
Other values (286) 13912
45.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct526
Distinct (%)32.9%
Missing180
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean47428.79
Minimum46000
Maximum49526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2024-04-17T21:02:42.600382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46000
5-th percentile46047
Q146702
median47126
Q348034
95-th percentile49442.1
Maximum49526
Range3526
Interquartile range (IQR)1332

Descriptive statistics

Standard deviation998.87368
Coefficient of variation (CV)0.021060493
Kurtosis-0.60688352
Mean47428.79
Median Absolute Deviation (MAD)752
Skewness0.61977539
Sum75838635
Variance997748.63
MonotonicityNot monotonic
2024-04-17T21:02:42.716075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46702 72
 
4.0%
48031 69
 
3.9%
47032 68
 
3.8%
46700 65
 
3.7%
47253 30
 
1.7%
48034 30
 
1.7%
46723 29
 
1.6%
46706 26
 
1.5%
47905 26
 
1.5%
49460 25
 
1.4%
Other values (516) 1159
65.1%
(Missing) 180
 
10.1%
ValueCountFrequency (%)
46000 1
 
0.1%
46002 5
0.3%
46004 8
0.4%
46006 1
 
0.1%
46013 1
 
0.1%
46018 3
 
0.2%
46019 2
 
0.1%
46020 6
0.3%
46022 5
0.3%
46023 1
 
0.1%
ValueCountFrequency (%)
49526 2
0.1%
49525 1
 
0.1%
49522 4
0.2%
49507 1
 
0.1%
49494 1
 
0.1%
49493 2
0.1%
49491 3
0.2%
49482 2
0.1%
49479 3
0.2%
49478 3
0.2%
Distinct1505
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
2024-04-17T21:02:42.910169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length29
Mean length5.9600899
Min length1

Characters and Unicode

Total characters10603
Distinct characters471
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1290 ?
Unique (%)72.5%

Sample

1st row맨푸드
2nd row신앙촌상회
3rd row신앙촌상회
4th row하양상회
5th row부전식육점
ValueCountFrequency (%)
주식회사 83
 
4.1%
농업회사법인 9
 
0.4%
항도청과 8
 
0.4%
부산지점 7
 
0.3%
푸드 7
 
0.3%
부산 7
 
0.3%
성우유통 7
 
0.3%
중도매인 6
 
0.3%
푸르미영농조합법인 5
 
0.2%
부경유통 5
 
0.2%
Other values (1549) 1867
92.8%
2024-04-17T21:02:43.239886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
452
 
4.3%
415
 
3.9%
411
 
3.9%
369
 
3.5%
348
 
3.3%
) 348
 
3.3%
( 340
 
3.2%
297
 
2.8%
294
 
2.8%
232
 
2.2%
Other values (461) 7097
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9323
87.9%
Close Punctuation 348
 
3.3%
Open Punctuation 340
 
3.2%
Space Separator 232
 
2.2%
Uppercase Letter 168
 
1.6%
Decimal Number 118
 
1.1%
Lowercase Letter 38
 
0.4%
Other Punctuation 34
 
0.3%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
452
 
4.8%
415
 
4.5%
411
 
4.4%
369
 
4.0%
348
 
3.7%
297
 
3.2%
294
 
3.2%
209
 
2.2%
209
 
2.2%
203
 
2.2%
Other values (401) 6116
65.6%
Uppercase Letter
ValueCountFrequency (%)
S 34
20.2%
F 30
17.9%
C 14
8.3%
M 12
 
7.1%
B 12
 
7.1%
K 9
 
5.4%
J 9
 
5.4%
O 8
 
4.8%
E 6
 
3.6%
H 5
 
3.0%
Other values (14) 29
17.3%
Lowercase Letter
ValueCountFrequency (%)
o 6
15.8%
e 5
13.2%
a 4
10.5%
d 3
7.9%
t 3
7.9%
r 3
7.9%
c 2
 
5.3%
f 2
 
5.3%
h 2
 
5.3%
l 2
 
5.3%
Other values (6) 6
15.8%
Decimal Number
ValueCountFrequency (%)
1 25
21.2%
3 20
16.9%
4 15
12.7%
2 13
11.0%
7 10
 
8.5%
5 10
 
8.5%
9 10
 
8.5%
8 6
 
5.1%
0 6
 
5.1%
6 3
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 15
44.1%
& 12
35.3%
/ 3
 
8.8%
· 2
 
5.9%
, 1
 
2.9%
' 1
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 348
100.0%
Open Punctuation
ValueCountFrequency (%)
( 340
100.0%
Space Separator
ValueCountFrequency (%)
232
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9323
87.9%
Common 1074
 
10.1%
Latin 206
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
452
 
4.8%
415
 
4.5%
411
 
4.4%
369
 
4.0%
348
 
3.7%
297
 
3.2%
294
 
3.2%
209
 
2.2%
209
 
2.2%
203
 
2.2%
Other values (401) 6116
65.6%
Latin
ValueCountFrequency (%)
S 34
16.5%
F 30
14.6%
C 14
 
6.8%
M 12
 
5.8%
B 12
 
5.8%
K 9
 
4.4%
J 9
 
4.4%
O 8
 
3.9%
o 6
 
2.9%
E 6
 
2.9%
Other values (30) 66
32.0%
Common
ValueCountFrequency (%)
) 348
32.4%
( 340
31.7%
232
21.6%
1 25
 
2.3%
3 20
 
1.9%
4 15
 
1.4%
. 15
 
1.4%
2 13
 
1.2%
& 12
 
1.1%
7 10
 
0.9%
Other values (10) 44
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9323
87.9%
ASCII 1278
 
12.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
452
 
4.8%
415
 
4.5%
411
 
4.4%
369
 
4.0%
348
 
3.7%
297
 
3.2%
294
 
3.2%
209
 
2.2%
209
 
2.2%
203
 
2.2%
Other values (401) 6116
65.6%
ASCII
ValueCountFrequency (%)
) 348
27.2%
( 340
26.6%
232
18.2%
S 34
 
2.7%
F 30
 
2.3%
1 25
 
2.0%
3 20
 
1.6%
4 15
 
1.2%
. 15
 
1.2%
C 14
 
1.1%
Other values (49) 205
16.0%
None
ValueCountFrequency (%)
· 2
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct1779
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0160651 × 1013
Minimum2.0080319 × 1013
Maximum2.0210331 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2024-04-17T21:02:43.361038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0080319 × 1013
5-th percentile2.0090129 × 1013
Q12.0130418 × 1013
median2.0170927 × 1013
Q32.0190906 × 1013
95-th percentile2.0201225 × 1013
Maximum2.0210331 × 1013
Range1.3001205 × 1011
Interquartile range (IQR)6.0487507 × 1010

Descriptive statistics

Standard deviation3.7870762 × 1010
Coefficient of variation (CV)0.0018784493
Kurtosis-0.85567449
Mean2.0160651 × 1013
Median Absolute Deviation (MAD)2.9576957 × 1010
Skewness-0.59672936
Sum3.5865799 × 1016
Variance1.4341946 × 1021
MonotonicityNot monotonic
2024-04-17T21:02:43.493468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20181217171123 1
 
0.1%
20200206103502 1
 
0.1%
20200130163738 1
 
0.1%
20200309152545 1
 
0.1%
20200115183511 1
 
0.1%
20200226172230 1
 
0.1%
20200226172412 1
 
0.1%
20200826141917 1
 
0.1%
20200228172757 1
 
0.1%
20200206104417 1
 
0.1%
Other values (1769) 1769
99.4%
ValueCountFrequency (%)
20080319104751 1
0.1%
20080321134736 1
0.1%
20080408150811 1
0.1%
20080416105305 1
0.1%
20080418134320 1
0.1%
20080425110441 1
0.1%
20080428145638 1
0.1%
20080428160016 1
0.1%
20080516154036 1
0.1%
20080520133809 1
0.1%
ValueCountFrequency (%)
20210331150228 1
0.1%
20210330170735 1
0.1%
20210326101335 1
0.1%
20210324163836 1
0.1%
20210324151310 1
0.1%
20210323143605 1
0.1%
20210322170111 1
0.1%
20210322142911 1
0.1%
20210322112048 1
0.1%
20210318173052 1
0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
I
1192 
U
587 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1192
67.0%
U 587
33.0%

Length

2024-04-17T21:02:43.608051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:02:43.686513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1192
67.0%
u 587
33.0%
Distinct438
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
Minimum2018-08-31 23:59:59
Maximum2021-04-02 02:40:00
2024-04-17T21:02:43.777713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:02:43.890454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
집단급식소 식품판매업
1779 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row집단급식소 식품판매업
2nd row집단급식소 식품판매업
3rd row집단급식소 식품판매업
4th row집단급식소 식품판매업
5th row집단급식소 식품판매업

Common Values

ValueCountFrequency (%)
집단급식소 식품판매업 1779
100.0%

Length

2024-04-17T21:02:44.001170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:02:44.094511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 1779
50.0%
식품판매업 1779
50.0%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct1161
Distinct (%)66.0%
Missing20
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean386284.07
Minimum368051.37
Maximum407871.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2024-04-17T21:02:44.183783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum368051.37
5-th percentile376570.74
Q1379942.53
median386173.74
Q3392303.78
95-th percentile398666.31
Maximum407871.51
Range39820.142
Interquartile range (IQR)12361.251

Descriptive statistics

Standard deviation7342.2569
Coefficient of variation (CV)0.019007403
Kurtosis-0.54308739
Mean386284.07
Median Absolute Deviation (MAD)6177.5008
Skewness0.29255772
Sum6.7947367 × 108
Variance53908736
MonotonicityNot monotonic
2024-04-17T21:02:44.295546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393233.931123062 72
 
4.0%
379241.295328129 22
 
1.2%
379097.80475028 18
 
1.0%
379160.226558582 16
 
0.9%
380482.767624189 13
 
0.7%
381399.783468487 12
 
0.7%
381378.30030267 12
 
0.7%
379273.28662813 10
 
0.6%
387495.642013501 9
 
0.5%
377261.721899816 9
 
0.5%
Other values (1151) 1566
88.0%
(Missing) 20
 
1.1%
ValueCountFrequency (%)
368051.366514748 4
0.2%
368098.86127099 1
 
0.1%
369188.242664844 1
 
0.1%
369324.667538937 4
0.2%
369562.400873148 1
 
0.1%
370622.73282019 1
 
0.1%
371279.313496818 1
 
0.1%
371479.815808704 2
0.1%
371503.796344977 1
 
0.1%
371557.867828 2
0.1%
ValueCountFrequency (%)
407871.508884898 4
0.2%
407023.000300962 2
 
0.1%
406982.053033795 1
 
0.1%
406979.503030847 1
 
0.1%
405362.795594286 2
 
0.1%
404974.019911782 1
 
0.1%
404883.27844185 2
 
0.1%
403999.58300105 5
0.3%
403920.394694604 1
 
0.1%
403782.796264236 1
 
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct1161
Distinct (%)66.0%
Missing20
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean188593.07
Minimum173969.72
Maximum209943.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2024-04-17T21:02:44.405449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum173969.72
5-th percentile177209.44
Q1183932.67
median189712.68
Q3192604.82
95-th percentile200540.33
Maximum209943.89
Range35974.172
Interquartile range (IQR)8672.1481

Descriptive statistics

Standard deviation6506.8082
Coefficient of variation (CV)0.034501842
Kurtosis0.21812453
Mean188593.07
Median Absolute Deviation (MAD)3314.9119
Skewness0.18590176
Sum3.317352 × 108
Variance42338553
MonotonicityNot monotonic
2024-04-17T21:02:44.518082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192684.487637586 72
 
4.0%
182743.945583531 22
 
1.2%
182786.212532845 18
 
1.0%
183055.066540753 16
 
0.9%
185582.274947583 13
 
0.7%
177021.984834045 12
 
0.7%
177125.308490722 12
 
0.7%
192810.140236077 10
 
0.6%
186563.777468573 9
 
0.5%
192607.444303723 9
 
0.5%
Other values (1151) 1566
88.0%
(Missing) 20
 
1.1%
ValueCountFrequency (%)
173969.719902491 1
 
0.1%
174289.976688419 1
 
0.1%
174428.418993288 1
 
0.1%
174513.895862905 1
 
0.1%
174683.069423816 5
0.3%
174774.894177567 1
 
0.1%
174931.698707402 2
 
0.1%
175112.433951124 1
 
0.1%
175140.099221406 8
0.4%
175200.937967886 1
 
0.1%
ValueCountFrequency (%)
209943.892133999 2
 
0.1%
208115.339532909 1
 
0.1%
206599.783800745 2
 
0.1%
206240.13184752 2
 
0.1%
205930.084201689 3
0.2%
205699.957221463 1
 
0.1%
205478.756319943 5
0.3%
205389.277197702 4
0.2%
205372.058734724 2
 
0.1%
205366.770002161 1
 
0.1%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
집단급식소 식품판매업
1779 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row집단급식소 식품판매업
2nd row집단급식소 식품판매업
3rd row집단급식소 식품판매업
4th row집단급식소 식품판매업
5th row집단급식소 식품판매업

Common Values

ValueCountFrequency (%)
집단급식소 식품판매업 1779
100.0%

Length

2024-04-17T21:02:44.631552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:02:44.708673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 1779
50.0%
식품판매업 1779
50.0%

남성종사자수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1779
Missing (%)100.0%
Memory size15.8 KiB

여성종사자수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1779
Missing (%)100.0%
Memory size15.8 KiB

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1779
Missing (%)100.0%
Memory size15.8 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1779
Missing (%)100.0%
Memory size15.8 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
<NA>
1505 
상수도전용
272 
간이상수도
 
1
지하수전용
 
1

Length

Max length5
Median length4
Mean length4.1540191
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1505
84.6%
상수도전용 272
 
15.3%
간이상수도 1
 
0.1%
지하수전용 1
 
0.1%

Length

2024-04-17T21:02:44.791021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:02:44.876175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1505
84.6%
상수도전용 272
 
15.3%
간이상수도 1
 
0.1%
지하수전용 1
 
0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1779
Missing (%)100.0%
Memory size15.8 KiB

본사종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.6%
Missing745
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean0.03384913
Minimum0
Maximum6
Zeros1018
Zeros (%)57.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2024-04-17T21:02:44.950141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.32005457
Coefficient of variation (CV)9.4553264
Kurtosis176.47486
Mean0.03384913
Median Absolute Deviation (MAD)0
Skewness12.254451
Sum35
Variance0.10243493
MonotonicityNot monotonic
2024-04-17T21:02:45.039807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1018
57.2%
2 6
 
0.3%
1 6
 
0.3%
4 2
 
0.1%
3 1
 
0.1%
6 1
 
0.1%
(Missing) 745
41.9%
ValueCountFrequency (%)
0 1018
57.2%
1 6
 
0.3%
2 6
 
0.3%
3 1
 
0.1%
4 2
 
0.1%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
4 2
 
0.1%
3 1
 
0.1%
2 6
 
0.3%
1 6
 
0.3%
0 1018
57.2%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
0
1019 
<NA>
752 
1
 
5
2
 
2
3
 
1

Length

Max length4
Median length1
Mean length2.2681282
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1019
57.3%
<NA> 752
42.3%
1 5
 
0.3%
2 2
 
0.1%
3 1
 
0.1%

Length

2024-04-17T21:02:45.161659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:02:45.249071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1019
57.3%
na 752
42.3%
1 5
 
0.3%
2 2
 
0.1%
3 1
 
0.1%
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
0
1022 
<NA>
756 
1
 
1

Length

Max length4
Median length1
Mean length2.2748735
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1022
57.4%
<NA> 756
42.5%
1 1
 
0.1%

Length

2024-04-17T21:02:45.342168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:02:45.440349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1022
57.4%
na 756
42.5%
1 1
 
0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
0
1020 
<NA>
752 
3
 
3
2
 
2
6
 
1

Length

Max length4
Median length1
Mean length2.2681282
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 1020
57.3%
<NA> 752
42.3%
3 3
 
0.2%
2 2
 
0.1%
6 1
 
0.1%
4 1
 
0.1%

Length

2024-04-17T21:02:45.549263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:02:45.650597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1020
57.3%
na 752
42.3%
3 3
 
0.2%
2 2
 
0.1%
6 1
 
0.1%
4 1
 
0.1%
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
<NA>
1433 
임대
199 
자가
147 

Length

Max length4
Median length4
Mean length3.6110174
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1433
80.6%
임대 199
 
11.2%
자가 147
 
8.3%

Length

2024-04-17T21:02:45.750932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:02:45.844111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1433
80.6%
임대 199
 
11.2%
자가 147
 
8.3%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
<NA>
1777 
5000000
 
2

Length

Max length7
Median length4
Mean length4.0033727
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> 1777
99.9%
5000000 2
 
0.1%

Length

2024-04-17T21:02:46.161746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:02:46.246712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1777
99.9%
5000000 2
 
0.1%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
<NA>
1777 
500000
 
2

Length

Max length6
Median length4
Mean length4.0022485
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> 1777
99.9%
500000 2
 
0.1%

Length

2024-04-17T21:02:46.345117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:02:46.453954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1777
99.9%
500000 2
 
0.1%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
False
1779 
ValueCountFrequency (%)
False 1779
100.0%
2024-04-17T21:02:46.539422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct398
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.614098
Minimum0
Maximum1857.25
Zeros1281
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2024-04-17T21:02:46.642719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.04
95-th percentile71.907
Maximum1857.25
Range1857.25
Interquartile range (IQR)4.04

Descriptive statistics

Standard deviation81.195788
Coefficient of variation (CV)5.2001588
Kurtosis257.62497
Mean15.614098
Median Absolute Deviation (MAD)0
Skewness14.541945
Sum27777.48
Variance6592.756
MonotonicityNot monotonic
2024-04-17T21:02:46.780313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1281
72.0%
33.0 9
 
0.5%
6.0 6
 
0.3%
8.0 6
 
0.3%
4.0 5
 
0.3%
60.0 5
 
0.3%
3.3 5
 
0.3%
17.63 4
 
0.2%
5.0 4
 
0.2%
30.0 4
 
0.2%
Other values (388) 450
 
25.3%
ValueCountFrequency (%)
0.0 1281
72.0%
0.26 1
 
0.1%
0.84 1
 
0.1%
1.46 1
 
0.1%
1.5 1
 
0.1%
1.6 1
 
0.1%
1.8 1
 
0.1%
1.95 2
 
0.1%
1.98 1
 
0.1%
2.0 1
 
0.1%
ValueCountFrequency (%)
1857.25 1
0.1%
1346.7 1
0.1%
1148.26 2
0.1%
1128.0 1
0.1%
867.32 1
0.1%
420.0 1
0.1%
340.0 1
0.1%
316.68 1
0.1%
305.9 1
0.1%
265.0 1
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1779
Missing (%)100.0%
Memory size15.8 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1779
Missing (%)100.0%
Memory size15.8 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1779
Missing (%)100.0%
Memory size15.8 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1779
Missing (%)100.0%
Memory size15.8 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
01집단급식소식품판매업07_22_01_P34000003400000-122-2018-0000920181214<NA>3폐업2폐업20181217<NA><NA><NA><NA>33.00619901부산광역시 기장군 기장읍 만화리 275-1번지 1층부산광역시 기장군 기장읍 동서길 2046052맨푸드20181217171123U2018-12-19 02:40:00.0집단급식소 식품판매업400449.578469197213.996906집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N33.0<NA><NA><NA><NA>
12집단급식소식품판매업07_22_01_P34000003400000-122-2010-0000220100226<NA>3폐업2폐업20150612<NA><NA><NA>051722943345.00619905부산광역시 기장군 기장읍 동부리 152-5번지부산광역시 기장군 기장읍 차성로344번길 4246061신앙촌상회20100226115229I2018-08-31 23:59:59.0집단급식소 식품판매업401641.498918196545.158052집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
23집단급식소식품판매업07_22_01_P34000003400000-122-2009-0000620091007<NA>3폐업2폐업20120202<NA><NA><NA><NA>35.10619906부산광역시 기장군 기장읍 청강리 110-5번지<NA><NA>신앙촌상회20091105160740I2018-08-31 23:59:59.0집단급식소 식품판매업402009.314492195536.608844집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
34집단급식소식품판매업07_22_01_P34000003400000-122-2008-0000620080701<NA>3폐업2폐업20180313<NA><NA><NA>051 727 2095<NA>619951부산광역시 기장군 장안읍 월내리 132-49번지 103호부산광역시 기장군 장안읍 월내해안2길 7 (103호)46037하양상회20180313125023I2018-08-31 23:59:59.0집단급식소 식품판매업406982.053034205366.770002집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
45집단급식소식품판매업07_22_01_P34000003400000-122-2008-0000520080630<NA>3폐업2폐업20090303<NA><NA><NA>051 727 882734.97619951부산광역시 기장군 장안읍 월내리 177-7번지<NA><NA>부전식육점20080630145440I2018-08-31 23:59:59.0집단급식소 식품판매업406979.503031205338.94762집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
56집단급식소식품판매업07_22_01_P34000003400000-122-2008-0000420080627<NA>3폐업2폐업20180223<NA><NA><NA>051 727 2740212.04<NA>부산광역시 기장군 정관읍 방곡리 172-8번지 2층부산광역시 기장군 정관읍 방곡로 55-20 (2층)46019해전영농조합법인20180223145436I2018-08-31 23:59:59.0집단급식소 식품판매업399234.634741205164.822742집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N212.04<NA><NA><NA><NA>
67집단급식소식품판매업07_22_01_P34000003400000-122-2008-0000320080627<NA>3폐업2폐업20200527<NA><NA><NA>051 727 871274.82619951부산광역시 기장군 장안읍 월내리 132-47번지부산광역시 기장군 장안읍 월내해안1길 6, 1층46037진흥식품20200527101929U2020-05-29 02:40:00.0집단급식소 식품판매업407023.000301205372.058735집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N13.77<NA><NA><NA><NA>
78집단급식소식품판매업07_22_01_P34000003400000-122-2008-0000220080627<NA>3폐업2폐업20120608<NA><NA><NA>051 727 5188<NA>619951부산광역시 기장군 장안읍 월내리 132-47번지부산광역시 기장군 장안읍 월내해안1길 646037경북식품20080627091704I2018-08-31 23:59:59.0집단급식소 식품판매업407023.000301205372.058735집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
89집단급식소식품판매업07_22_01_P34000003400000-122-2008-0000120080528<NA>3폐업2폐업20150622<NA><NA><NA>051 722 8005<NA>619904부산광역시 기장군 기장읍 대변리 578-4번지부산광역시 기장군 기장읍 무양2길 3446079(주)푸른미래20080528135126I2018-08-31 23:59:59.0집단급식소 식품판매업402541.748436194243.687958집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
910집단급식소식품판매업07_22_01_P34000003400000-122-2013-0000320130220<NA>3폐업2폐업20170424<NA><NA><NA>051 727 5442<NA>619911부산광역시 기장군 일광면 칠암리 173-4번지 1층부산광역시 기장군 일광면 문중길 14-8, 1층46040(주)니젠20170425100304I2018-08-31 23:59:59.0집단급식소 식품판매업405362.795594202585.2163집단급식소 식품판매업<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
17691770집단급식소식품판매업07_22_01_P32600003260000-122-2019-0000220190220<NA>1영업/정상1영업<NA><NA><NA><NA>051 714 3821<NA>602030부산광역시 서구 암남동 762번지 수산가공선진화단지부산광역시 서구 원양로 1, 수산가공선진화단지 B동 612호 (암남동)49277에프앤에프푸드시스템(주)20190220163559I2019-02-22 02:21:29.0집단급식소 식품판매업383449.669962174683.069424집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
17701771집단급식소식품판매업07_22_01_P32500003250000-122-2020-0000220200716<NA>1영업/정상1영업<NA><NA><NA><NA><NA>39.94600800부산광역시 중구 대청동4가 26-10부산광역시 중구 중구로111번길 5, 2층 (대청동4가)48971조은푸드20200731114144U2020-08-02 02:40:00.0집단급식소 식품판매업385150.624688180479.230588집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
17711772집단급식소식품판매업07_22_01_P32500003250000-122-2020-0000120200319<NA>1영업/정상1영업<NA><NA><NA><NA><NA>20.00600809부산광역시 중구 부평동3가 76-15번지부산광역시 중구 흑교로35번길 11, 1층 (부평동3가)48975아이누리부산8호점20200327150527U2020-03-29 02:40:00.0집단급식소 식품판매업384473.24495180041.379067집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
17721773집단급식소식품판매업07_22_01_P32500003250000-122-2019-0000120190927<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>600801부산광역시 중구 대청동4가 81-3번지부산광역시 중구 중구로 67-8, 2층 (대청동4가)48968더판데이20190927092653I2019-09-29 02:22:39.0집단급식소 식품판매업384883.808803180195.181018집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
17731774집단급식소식품판매업07_22_01_P32500003250000-122-2009-0000120090612<NA>1영업/정상1영업<NA><NA><NA><NA>051 2437734120.00600044부산광역시 중구 남포동4가 30번지부산광역시 중구 자갈치해안로 61 (남포동4가)48984우경수산20151021092102I2018-08-31 23:59:59.0집단급식소 식품판매업385160.754397179452.209734집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
17741775집단급식소식품판매업07_22_01_P32500003250000-122-2016-0000120160705<NA>1영업/정상1영업<NA><NA><NA><NA>051 463 444024.66600813부산광역시 중구 영주동 534-48번지부산광역시 중구 동영로 34 (영주동)48920늘푸른유통20160705102938I2018-08-31 23:59:59.0집단급식소 식품판매업385364.515307180862.296348집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N18.72<NA><NA><NA><NA>
17751776집단급식소식품판매업07_22_01_P32500003250000-122-2008-0000120080807<NA>1영업/정상1영업<NA><NA><NA><NA>051 245070552.40600806부산광역시 중구 부평동2가 72-1번지부산광역시 중구 중구로43번길 39 (부평동2가)48977대도식품20151021090125I2018-08-31 23:59:59.0집단급식소 식품판매업384637.771834179952.189677집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
17761777집단급식소식품판매업07_22_01_P32500003250000-122-2012-0000220120717<NA>1영업/정상1영업<NA><NA><NA><NA>051 246 761519.80600041부산광역시 중구 남포동1가 62-1번지부산광역시 중구 용미길10번길 1, 1층 (남포동1가)48984경북상회20151021090601I2018-08-31 23:59:59.0집단급식소 식품판매업385477.717035179422.479908집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA><NA>
17771778집단급식소식품판매업07_22_01_P32500003250000-122-2011-0000120110124<NA>1영업/정상1영업<NA><NA><NA><NA>051 245 222081.00600044부산광역시 중구 남포동4가 31-2번지 지상3층부산광역시 중구 자갈치로 70-1, 지상3층 (남포동4가)48984명성씨푸드20151027190551I2018-08-31 23:59:59.0집단급식소 식품판매업385207.153155179482.100083집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA><NA>
17781779집단급식소식품판매업07_22_01_P32500003250000-122-2018-0000120180712<NA>1영업/정상1영업<NA><NA><NA><NA><NA>106.56600041부산광역시 중구 남포동1가 70번지부산광역시 중구 태종로 12-1 (남포동1가)48984에스엔푸드시스템20190410100745I2019-04-11 02:20:18.0집단급식소 식품판매업385565.746964179420.265234집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N106.56<NA><NA><NA><NA>