Overview

Dataset statistics

Number of variables48
Number of observations1698
Missing cells21413
Missing cells (%)26.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory686.6 KiB
Average record size in memory414.1 B

Variable types

Numeric11
Categorical19
Text6
Unsupported10
DateTime1
Boolean1

Dataset

Description2021-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123092

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (99.3%)Imbalance
위생업태명 is highly imbalanced (99.3%)Imbalance
남성종사자수 is highly imbalanced (66.7%)Imbalance
영업장주변구분명 is highly imbalanced (86.1%)Imbalance
등급구분명 is highly imbalanced (86.9%)Imbalance
본사종업원수 is highly imbalanced (96.6%)Imbalance
공장사무직종업원수 is highly imbalanced (97.1%)Imbalance
공장판매직종업원수 is highly imbalanced (97.1%)Imbalance
공장생산직종업원수 is highly imbalanced (97.1%)Imbalance
보증액 is highly imbalanced (96.6%)Imbalance
월세액 is highly imbalanced (96.6%)Imbalance
인허가취소일자 has 1698 (100.0%) missing valuesMissing
폐업일자 has 707 (41.6%) missing valuesMissing
휴업시작일자 has 1698 (100.0%) missing valuesMissing
휴업종료일자 has 1698 (100.0%) missing valuesMissing
재개업일자 has 1698 (100.0%) missing valuesMissing
소재지전화 has 408 (24.0%) missing valuesMissing
소재지면적 has 523 (30.8%) missing valuesMissing
소재지우편번호 has 65 (3.8%) missing valuesMissing
도로명전체주소 has 570 (33.6%) missing valuesMissing
도로명우편번호 has 586 (34.5%) missing valuesMissing
좌표정보(x) has 140 (8.2%) missing valuesMissing
좌표정보(y) has 140 (8.2%) missing valuesMissing
여성종사자수 has 1290 (76.0%) missing valuesMissing
총종업원수 has 1698 (100.0%) missing valuesMissing
건물소유구분명 has 1698 (100.0%) missing valuesMissing
전통업소지정번호 has 1698 (100.0%) missing valuesMissing
전통업소주된음식 has 1698 (100.0%) missing valuesMissing
홈페이지 has 1698 (100.0%) missing valuesMissing
Unnamed: 47 has 1698 (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
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물소유구분명 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
여성종사자수 has 330 (19.4%) zerosZeros
시설총규모 has 571 (33.6%) zerosZeros

Reproduction

Analysis started2024-04-17 05:36:03.299010
Analysis finished2024-04-17 05:36:04.363095
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1698
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean849.5
Minimum1
Maximum1698
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-17T14:36:04.428978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile85.85
Q1425.25
median849.5
Q31273.75
95-th percentile1613.15
Maximum1698
Range1697
Interquartile range (IQR)848.5

Descriptive statistics

Standard deviation490.31469
Coefficient of variation (CV)0.57718034
Kurtosis-1.2
Mean849.5
Median Absolute Deviation (MAD)424.5
Skewness0
Sum1442451
Variance240408.5
MonotonicityStrictly increasing
2024-04-17T14:36:04.565603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1142 1
 
0.1%
1140 1
 
0.1%
1139 1
 
0.1%
1138 1
 
0.1%
1137 1
 
0.1%
1136 1
 
0.1%
1135 1
 
0.1%
1134 1
 
0.1%
1133 1
 
0.1%
Other values (1688) 1688
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 (%)
1698 1
0.1%
1697 1
0.1%
1696 1
0.1%
1695 1
0.1%
1694 1
0.1%
1693 1
0.1%
1692 1
0.1%
1691 1
0.1%
1690 1
0.1%
1689 1
0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
위탁급식영업
1698 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 1698
100.0%

Length

2024-04-17T14:36:04.718649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:36:04.814878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 1698
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
07_21_01_P
1698 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_21_01_P
2nd row07_21_01_P
3rd row07_21_01_P
4th row07_21_01_P
5th row07_21_01_P

Common Values

ValueCountFrequency (%)
07_21_01_P 1698
100.0%

Length

2024-04-17T14:36:04.910300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:36:05.013625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_21_01_p 1698
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3342061.2
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-17T14:36:05.111327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13310000
median3350000
Q33360000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation37465.251
Coefficient of variation (CV)0.011210223
Kurtosis-0.40179725
Mean3342061.2
Median Absolute Deviation (MAD)20000
Skewness-0.54402431
Sum5.67482 × 109
Variance1.403645 × 109
MonotonicityNot monotonic
2024-04-17T14:36:05.231212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3360000 507
29.9%
3340000 183
 
10.8%
3400000 127
 
7.5%
3390000 113
 
6.7%
3330000 110
 
6.5%
3310000 105
 
6.2%
3290000 86
 
5.1%
3350000 86
 
5.1%
3300000 71
 
4.2%
3370000 62
 
3.7%
Other values (6) 248
14.6%
ValueCountFrequency (%)
3250000 16
 
0.9%
3260000 55
 
3.2%
3270000 38
 
2.2%
3280000 56
 
3.3%
3290000 86
5.1%
3300000 71
 
4.2%
3310000 105
6.2%
3320000 45
 
2.7%
3330000 110
6.5%
3340000 183
10.8%
ValueCountFrequency (%)
3400000 127
 
7.5%
3390000 113
 
6.7%
3380000 38
 
2.2%
3370000 62
 
3.7%
3360000 507
29.9%
3350000 86
 
5.1%
3340000 183
 
10.8%
3330000 110
 
6.5%
3320000 45
 
2.7%
3310000 105
 
6.2%

관리번호
Text

UNIQUE 

Distinct1698
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2024-04-17T14:36:05.418278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters37356
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

Unique1698 ?
Unique (%)100.0%

Sample

1st row3250000-120-2008-00001
2nd row3250000-120-2009-00001
3rd row3250000-120-2003-00001
4th row3250000-120-2003-00003
5th row3250000-120-2006-00001
ValueCountFrequency (%)
3250000-120-2008-00001 1
 
0.1%
3360000-120-2005-00016 1
 
0.1%
3360000-120-2004-00016 1
 
0.1%
3360000-120-2004-00013 1
 
0.1%
3360000-120-2004-00012 1
 
0.1%
3360000-120-2004-00011 1
 
0.1%
3360000-120-2016-00011 1
 
0.1%
3360000-120-2004-00001 1
 
0.1%
3360000-120-2003-00066 1
 
0.1%
3360000-120-2005-00008 1
 
0.1%
Other values (1688) 1688
99.4%
2024-04-17T14:36:05.735719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17736
47.5%
- 5094
 
13.6%
2 4282
 
11.5%
3 3880
 
10.4%
1 3233
 
8.7%
6 888
 
2.4%
4 687
 
1.8%
9 416
 
1.1%
5 406
 
1.1%
7 399
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32262
86.4%
Dash Punctuation 5094
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17736
55.0%
2 4282
 
13.3%
3 3880
 
12.0%
1 3233
 
10.0%
6 888
 
2.8%
4 687
 
2.1%
9 416
 
1.3%
5 406
 
1.3%
7 399
 
1.2%
8 335
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 5094
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37356
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17736
47.5%
- 5094
 
13.6%
2 4282
 
11.5%
3 3880
 
10.4%
1 3233
 
8.7%
6 888
 
2.4%
4 687
 
1.8%
9 416
 
1.1%
5 406
 
1.1%
7 399
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37356
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17736
47.5%
- 5094
 
13.6%
2 4282
 
11.5%
3 3880
 
10.4%
1 3233
 
8.7%
6 888
 
2.4%
4 687
 
1.8%
9 416
 
1.1%
5 406
 
1.1%
7 399
 
1.1%

인허가일자
Real number (ℝ)

Distinct1161
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20096166
Minimum20030521
Maximum20210225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-17T14:36:06.180390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030521
5-th percentile20030530
Q120040412
median20081112
Q320141204
95-th percentile20191112
Maximum20210225
Range179704
Interquartile range (IQR)100793

Descriptive statistics

Standard deviation56472.997
Coefficient of variation (CV)0.0028101379
Kurtosis-1.1889195
Mean20096166
Median Absolute Deviation (MAD)50088.5
Skewness0.3823441
Sum3.412329 × 1010
Variance3.1891993 × 109
MonotonicityNot monotonic
2024-04-17T14:36:06.322121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030602 32
 
1.9%
20030528 24
 
1.4%
20030530 17
 
1.0%
20030527 16
 
0.9%
20030529 13
 
0.8%
20031015 12
 
0.7%
20030616 12
 
0.7%
20031013 11
 
0.6%
20030623 11
 
0.6%
20161101 9
 
0.5%
Other values (1151) 1541
90.8%
ValueCountFrequency (%)
20030521 1
 
0.1%
20030522 6
 
0.4%
20030523 7
 
0.4%
20030526 4
 
0.2%
20030527 16
0.9%
20030528 24
1.4%
20030529 13
0.8%
20030530 17
1.0%
20030531 2
 
0.1%
20030602 32
1.9%
ValueCountFrequency (%)
20210225 1
 
0.1%
20210215 1
 
0.1%
20210209 1
 
0.1%
20210208 1
 
0.1%
20210203 1
 
0.1%
20210129 3
0.2%
20210125 2
0.1%
20210122 1
 
0.1%
20210118 1
 
0.1%
20210115 1
 
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1698
Missing (%)100.0%
Memory size15.1 KiB
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
3
991 
1
707 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 991
58.4%
1 707
41.6%

Length

2024-04-17T14:36:06.442752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:36:06.525574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 991
58.4%
1 707
41.6%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
폐업
991 
영업/정상
707 

Length

Max length5
Median length2
Mean length3.2491166
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 991
58.4%
영업/정상 707
41.6%

Length

2024-04-17T14:36:06.618689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:36:06.714015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 991
58.4%
영업/정상 707
41.6%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2
991 
1
707 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 991
58.4%
1 707
41.6%

Length

2024-04-17T14:36:06.804940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:36:06.901041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 991
58.4%
1 707
41.6%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
폐업
991 
영업
707 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 991
58.4%
영업 707
41.6%

Length

2024-04-17T14:36:07.024006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:36:07.126225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 991
58.4%
영업 707
41.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct805
Distinct (%)81.2%
Missing707
Missing (%)41.6%
Infinite0
Infinite (%)0.0%
Mean20123171
Minimum20030923
Maximum20210223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-17T14:36:07.237341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030923
5-th percentile20050528
Q120080966
median20120523
Q320161116
95-th percentile20200416
Maximum20210223
Range179300
Interquartile range (IQR)80150

Descriptive statistics

Standard deviation47530.992
Coefficient of variation (CV)0.0023620031
Kurtosis-1.1788084
Mean20123171
Median Absolute Deviation (MAD)40183
Skewness0.04057966
Sum1.9942062 × 1010
Variance2.2591952 × 109
MonotonicityNot monotonic
2024-04-17T14:36:07.372550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161101 9
 
0.5%
20171229 5
 
0.3%
20181231 5
 
0.3%
20071001 4
 
0.2%
20180531 4
 
0.2%
20120102 4
 
0.2%
20100303 4
 
0.2%
20191231 3
 
0.2%
20111014 3
 
0.2%
20180919 3
 
0.2%
Other values (795) 947
55.8%
(Missing) 707
41.6%
ValueCountFrequency (%)
20030923 1
0.1%
20030925 2
0.1%
20031124 1
0.1%
20031231 2
0.1%
20040114 1
0.1%
20040129 1
0.1%
20040203 1
0.1%
20040223 1
0.1%
20040226 1
0.1%
20040227 2
0.1%
ValueCountFrequency (%)
20210223 1
0.1%
20210222 1
0.1%
20210210 1
0.1%
20210129 1
0.1%
20210128 1
0.1%
20210125 1
0.1%
20210106 1
0.1%
20210104 1
0.1%
20201231 2
0.1%
20201202 1
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1698
Missing (%)100.0%
Memory size15.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1698
Missing (%)100.0%
Memory size15.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1698
Missing (%)100.0%
Memory size15.1 KiB

소재지전화
Text

MISSING 

Distinct1113
Distinct (%)86.3%
Missing408
Missing (%)24.0%
Memory size13.4 KiB
2024-04-17T14:36:07.732110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.297674
Min length3

Characters and Unicode

Total characters14574
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

Unique1022 ?
Unique (%)79.2%

Sample

1st row051 660 2401
2nd row051 7187229
3rd row051 4630400
4th row051 4628468
5th row051 464 7307
ValueCountFrequency (%)
051 1049
33.9%
831 91
 
2.9%
055 52
 
1.7%
070 37
 
1.2%
02 17
 
0.5%
973 17
 
0.5%
0102 15
 
0.5%
2820 15
 
0.5%
633 14
 
0.5%
3880 14
 
0.5%
Other values (1314) 1773
57.3%
2024-04-17T14:36:08.196266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2417
16.6%
1 2194
15.1%
5 2021
13.9%
1822
12.5%
2 1097
7.5%
3 1076
7.4%
8 941
 
6.5%
7 844
 
5.8%
6 792
 
5.4%
4 704
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12752
87.5%
Space Separator 1822
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2417
19.0%
1 2194
17.2%
5 2021
15.8%
2 1097
8.6%
3 1076
8.4%
8 941
 
7.4%
7 844
 
6.6%
6 792
 
6.2%
4 704
 
5.5%
9 666
 
5.2%
Space Separator
ValueCountFrequency (%)
1822
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14574
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2417
16.6%
1 2194
15.1%
5 2021
13.9%
1822
12.5%
2 1097
7.5%
3 1076
7.4%
8 941
 
6.5%
7 844
 
5.8%
6 792
 
5.4%
4 704
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14574
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2417
16.6%
1 2194
15.1%
5 2021
13.9%
1822
12.5%
2 1097
7.5%
3 1076
7.4%
8 941
 
6.5%
7 844
 
5.8%
6 792
 
5.4%
4 704
 
4.8%

소재지면적
Text

MISSING 

Distinct989
Distinct (%)84.2%
Missing523
Missing (%)30.8%
Memory size13.4 KiB
2024-04-17T14:36:08.519473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.7531915
Min length3

Characters and Unicode

Total characters6760
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

Unique879 ?
Unique (%)74.8%

Sample

1st row411.30
2nd row443.75
3rd row308.00
4th row10.14
5th row153.11
ValueCountFrequency (%)
00 35
 
3.0%
132.00 7
 
0.6%
66.00 5
 
0.4%
165.00 4
 
0.3%
264.00 4
 
0.3%
300.00 4
 
0.3%
131.04 4
 
0.3%
168.22 4
 
0.3%
70.00 4
 
0.3%
90.00 4
 
0.3%
Other values (979) 1100
93.6%
2024-04-17T14:36:08.930807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1178
17.4%
. 1175
17.4%
1 771
11.4%
2 642
9.5%
4 484
7.2%
6 472
7.0%
3 470
 
7.0%
5 443
 
6.6%
8 375
 
5.5%
9 361
 
5.3%
Other values (2) 389
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5555
82.2%
Other Punctuation 1205
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1178
21.2%
1 771
13.9%
2 642
11.6%
4 484
8.7%
6 472
8.5%
3 470
 
8.5%
5 443
 
8.0%
8 375
 
6.8%
9 361
 
6.5%
7 359
 
6.5%
Other Punctuation
ValueCountFrequency (%)
. 1175
97.5%
, 30
 
2.5%

Most occurring scripts

ValueCountFrequency (%)
Common 6760
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1178
17.4%
. 1175
17.4%
1 771
11.4%
2 642
9.5%
4 484
7.2%
6 472
7.0%
3 470
 
7.0%
5 443
 
6.6%
8 375
 
5.5%
9 361
 
5.3%
Other values (2) 389
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1178
17.4%
. 1175
17.4%
1 771
11.4%
2 642
9.5%
4 484
7.2%
6 472
7.0%
3 470
 
7.0%
5 443
 
6.6%
8 375
 
5.5%
9 361
 
5.3%
Other values (2) 389
 
5.8%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct427
Distinct (%)26.1%
Missing65
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean612918.17
Minimum600013
Maximum619953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-17T14:36:09.089034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600013
5-th percentile602709.8
Q1607838
median613828
Q3618280
95-th percentile618820
Maximum619953
Range19940
Interquartile range (IQR)10442

Descriptive statistics

Standard deviation5828.1374
Coefficient of variation (CV)0.0095088345
Kurtosis-1.1903193
Mean612918.17
Median Absolute Deviation (MAD)4989
Skewness-0.46822289
Sum1.0008954 × 109
Variance33967186
MonotonicityNot monotonic
2024-04-17T14:36:09.261127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
618819 72
 
4.2%
618817 70
 
4.1%
618230 60
 
3.5%
618818 57
 
3.4%
618820 56
 
3.3%
604836 48
 
2.8%
618280 33
 
1.9%
618220 28
 
1.6%
618250 19
 
1.1%
604826 18
 
1.1%
Other values (417) 1172
69.0%
(Missing) 65
 
3.8%
ValueCountFrequency (%)
600013 2
 
0.1%
600015 2
 
0.1%
600017 3
0.2%
600023 1
 
0.1%
600046 1
 
0.1%
600091 1
 
0.1%
600814 1
 
0.1%
600816 5
0.3%
601010 1
 
0.1%
601050 5
0.3%
ValueCountFrequency (%)
619953 10
0.6%
619952 16
0.9%
619951 10
0.6%
619913 3
 
0.2%
619912 1
 
0.1%
619906 3
 
0.2%
619904 1
 
0.1%
619903 1
 
0.1%
619902 6
 
0.4%
619901 5
 
0.3%
Distinct1468
Distinct (%)86.7%
Missing4
Missing (%)0.2%
Memory size13.4 KiB
2024-04-17T14:36:09.588618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length23.754427
Min length16

Characters and Unicode

Total characters40240
Distinct characters359
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

Unique1297 ?
Unique (%)76.6%

Sample

1st row부산광역시 중구 중앙동4가 74-1번지
2nd row부산광역시 중구 중앙동5가 50번지
3rd row부산광역시 중구 중앙동4가 75-1
4th row부산광역시 중구 중앙동3가 18-1번지
5th row부산광역시 중구 중앙동4가 22-1번지
ValueCountFrequency (%)
부산광역시 1694
 
21.8%
강서구 505
 
6.5%
송정동 262
 
3.4%
사하구 183
 
2.4%
기장군 126
 
1.6%
사상구 113
 
1.5%
해운대구 110
 
1.4%
남구 105
 
1.3%
95
 
1.2%
부산진구 86
 
1.1%
Other values (1888) 4504
57.9%
2024-04-17T14:36:10.021787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6093
 
15.1%
2081
 
5.2%
1 1967
 
4.9%
1959
 
4.9%
1857
 
4.6%
1722
 
4.3%
1712
 
4.3%
1697
 
4.2%
1694
 
4.2%
1652
 
4.1%
Other values (349) 17806
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25135
62.5%
Decimal Number 7406
 
18.4%
Space Separator 6093
 
15.1%
Dash Punctuation 1239
 
3.1%
Uppercase Letter 121
 
0.3%
Open Punctuation 106
 
0.3%
Close Punctuation 105
 
0.3%
Other Punctuation 30
 
0.1%
Lowercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2081
 
8.3%
1959
 
7.8%
1857
 
7.4%
1722
 
6.9%
1712
 
6.8%
1697
 
6.8%
1694
 
6.7%
1652
 
6.6%
1501
 
6.0%
594
 
2.4%
Other values (305) 8666
34.5%
Uppercase Letter
ValueCountFrequency (%)
B 25
20.7%
A 18
14.9%
I 14
11.6%
C 10
 
8.3%
T 9
 
7.4%
K 9
 
7.4%
S 8
 
6.6%
L 6
 
5.0%
R 4
 
3.3%
N 3
 
2.5%
Other values (10) 15
12.4%
Decimal Number
ValueCountFrequency (%)
1 1967
26.6%
2 745
 
10.1%
5 739
 
10.0%
4 671
 
9.1%
3 662
 
8.9%
6 606
 
8.2%
0 548
 
7.4%
7 523
 
7.1%
8 513
 
6.9%
9 432
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 19
63.3%
& 5
 
16.7%
. 3
 
10.0%
: 2
 
6.7%
/ 1
 
3.3%
Open Punctuation
ValueCountFrequency (%)
( 105
99.1%
[ 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 104
99.0%
] 1
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
i 3
75.0%
o 1
 
25.0%
Space Separator
ValueCountFrequency (%)
6093
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1239
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25135
62.5%
Common 14980
37.2%
Latin 125
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2081
 
8.3%
1959
 
7.8%
1857
 
7.4%
1722
 
6.9%
1712
 
6.8%
1697
 
6.8%
1694
 
6.7%
1652
 
6.6%
1501
 
6.0%
594
 
2.4%
Other values (305) 8666
34.5%
Common
ValueCountFrequency (%)
6093
40.7%
1 1967
 
13.1%
- 1239
 
8.3%
2 745
 
5.0%
5 739
 
4.9%
4 671
 
4.5%
3 662
 
4.4%
6 606
 
4.0%
0 548
 
3.7%
7 523
 
3.5%
Other values (12) 1187
 
7.9%
Latin
ValueCountFrequency (%)
B 25
20.0%
A 18
14.4%
I 14
11.2%
C 10
 
8.0%
T 9
 
7.2%
K 9
 
7.2%
S 8
 
6.4%
L 6
 
4.8%
R 4
 
3.2%
N 3
 
2.4%
Other values (12) 19
15.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25135
62.5%
ASCII 15105
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6093
40.3%
1 1967
 
13.0%
- 1239
 
8.2%
2 745
 
4.9%
5 739
 
4.9%
4 671
 
4.4%
3 662
 
4.4%
6 606
 
4.0%
0 548
 
3.6%
7 523
 
3.5%
Other values (34) 1312
 
8.7%
Hangul
ValueCountFrequency (%)
2081
 
8.3%
1959
 
7.8%
1857
 
7.4%
1722
 
6.9%
1712
 
6.8%
1697
 
6.8%
1694
 
6.7%
1652
 
6.6%
1501
 
6.0%
594
 
2.4%
Other values (305) 8666
34.5%

도로명전체주소
Text

MISSING 

Distinct1044
Distinct (%)92.6%
Missing570
Missing (%)33.6%
Memory size13.4 KiB
2024-04-17T14:36:10.297088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length47
Mean length29.715426
Min length20

Characters and Unicode

Total characters33519
Distinct characters371
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

Unique971 ?
Unique (%)86.1%

Sample

1st row부산광역시 중구 충장대로13번길 67 (중앙동4가)
2nd row부산광역시 중구 중앙대로 52 (중앙동5가)
3rd row부산광역시 중구 충장대로5번길 72 (중앙동4가)
4th row부산광역시 중구 대청로 135 (중앙동3가)
5th row부산광역시 중구 충장대로 6 (중앙동4가)
ValueCountFrequency (%)
부산광역시 1128
 
17.4%
강서구 384
 
5.9%
송정동 188
 
2.9%
사하구 126
 
1.9%
1층 115
 
1.8%
해운대구 82
 
1.3%
기장군 79
 
1.2%
사상구 75
 
1.2%
남구 56
 
0.9%
금정구 54
 
0.8%
Other values (1328) 4192
64.7%
2024-04-17T14:36:10.696864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5351
 
16.0%
1869
 
5.6%
1338
 
4.0%
1325
 
4.0%
1160
 
3.5%
1153
 
3.4%
1130
 
3.4%
( 1129
 
3.4%
) 1127
 
3.4%
1115
 
3.3%
Other values (361) 16822
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20438
61.0%
Space Separator 5351
 
16.0%
Decimal Number 4716
 
14.1%
Open Punctuation 1129
 
3.4%
Close Punctuation 1127
 
3.4%
Other Punctuation 568
 
1.7%
Uppercase Letter 100
 
0.3%
Dash Punctuation 80
 
0.2%
Math Symbol 5
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1869
 
9.1%
1338
 
6.5%
1325
 
6.5%
1160
 
5.7%
1153
 
5.6%
1130
 
5.5%
1115
 
5.5%
1113
 
5.4%
498
 
2.4%
450
 
2.2%
Other values (321) 9287
45.4%
Uppercase Letter
ValueCountFrequency (%)
B 20
20.0%
A 18
18.0%
C 14
14.0%
K 8
 
8.0%
S 7
 
7.0%
T 6
 
6.0%
N 5
 
5.0%
I 4
 
4.0%
G 3
 
3.0%
E 3
 
3.0%
Other values (8) 12
12.0%
Decimal Number
ValueCountFrequency (%)
1 1030
21.8%
2 715
15.2%
3 584
12.4%
4 423
9.0%
6 411
 
8.7%
5 389
 
8.2%
0 331
 
7.0%
7 318
 
6.7%
9 283
 
6.0%
8 232
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
t 1
20.0%
o 1
20.0%
l 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 563
99.1%
& 4
 
0.7%
: 1
 
0.2%
Space Separator
ValueCountFrequency (%)
5351
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1129
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20438
61.0%
Common 12976
38.7%
Latin 105
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1869
 
9.1%
1338
 
6.5%
1325
 
6.5%
1160
 
5.7%
1153
 
5.6%
1130
 
5.5%
1115
 
5.5%
1113
 
5.4%
498
 
2.4%
450
 
2.2%
Other values (321) 9287
45.4%
Latin
ValueCountFrequency (%)
B 20
19.0%
A 18
17.1%
C 14
13.3%
K 8
 
7.6%
S 7
 
6.7%
T 6
 
5.7%
N 5
 
4.8%
I 4
 
3.8%
G 3
 
2.9%
E 3
 
2.9%
Other values (12) 17
16.2%
Common
ValueCountFrequency (%)
5351
41.2%
( 1129
 
8.7%
) 1127
 
8.7%
1 1030
 
7.9%
2 715
 
5.5%
3 584
 
4.5%
, 563
 
4.3%
4 423
 
3.3%
6 411
 
3.2%
5 389
 
3.0%
Other values (8) 1254
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20438
61.0%
ASCII 13081
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5351
40.9%
( 1129
 
8.6%
) 1127
 
8.6%
1 1030
 
7.9%
2 715
 
5.5%
3 584
 
4.5%
, 563
 
4.3%
4 423
 
3.2%
6 411
 
3.1%
5 389
 
3.0%
Other values (30) 1359
 
10.4%
Hangul
ValueCountFrequency (%)
1869
 
9.1%
1338
 
6.5%
1325
 
6.5%
1160
 
5.7%
1153
 
5.6%
1130
 
5.5%
1115
 
5.5%
1113
 
5.4%
498
 
2.4%
450
 
2.2%
Other values (321) 9287
45.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct389
Distinct (%)35.0%
Missing586
Missing (%)34.5%
Infinite0
Infinite (%)0.0%
Mean47487.773
Minimum46002
Maximum49526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-17T14:36:10.824076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46034
Q146742.75
median46958
Q348400
95-th percentile49460
Maximum49526
Range3524
Interquartile range (IQR)1657.25

Descriptive statistics

Standard deviation1087.9371
Coefficient of variation (CV)0.022909837
Kurtosis-0.97808372
Mean47487.773
Median Absolute Deviation (MAD)610.5
Skewness0.62220325
Sum52806404
Variance1183607.2
MonotonicityNot monotonic
2024-04-17T14:36:10.945468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46753 44
 
2.6%
46742 44
 
2.6%
46752 32
 
1.9%
46757 31
 
1.8%
46754 30
 
1.8%
46751 27
 
1.6%
46755 23
 
1.4%
46744 18
 
1.1%
46027 15
 
0.9%
46727 14
 
0.8%
Other values (379) 834
49.1%
(Missing) 586
34.5%
ValueCountFrequency (%)
46002 2
 
0.1%
46006 1
 
0.1%
46014 1
 
0.1%
46015 3
 
0.2%
46018 1
 
0.1%
46019 1
 
0.1%
46020 10
0.6%
46023 1
 
0.1%
46026 4
 
0.2%
46027 15
0.9%
ValueCountFrequency (%)
49526 6
0.4%
49524 2
 
0.1%
49523 1
 
0.1%
49520 1
 
0.1%
49511 1
 
0.1%
49500 2
 
0.1%
49499 4
0.2%
49498 1
 
0.1%
49491 1
 
0.1%
49489 3
0.2%
Distinct1583
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2024-04-17T14:36:11.204133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length11.320966
Min length2

Characters and Unicode

Total characters19223
Distinct characters514
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

Unique1496 ?
Unique (%)88.1%

Sample

1st row웰리브디섹점
2nd row(주)아워홈엘지유플러스 중앙동사옥점
3rd row재단법인 케이티그룹희망나눔재단 서부산
4th row씨제이프레시웨이 주식회사 SC은행부산점
5th row(주)아워홈한진중공업중앙점
ValueCountFrequency (%)
구내식당 65
 
2.6%
주)아워홈 41
 
1.6%
주)풀무원푸드앤컬처 37
 
1.5%
주)새손 35
 
1.4%
주)호성식품 31
 
1.2%
주식회사 30
 
1.2%
주)동원홈푸드 28
 
1.1%
주)삼보유통 27
 
1.1%
주)신세계푸드 17
 
0.7%
주)현대그린푸드 15
 
0.6%
Other values (1769) 2223
87.2%
2024-04-17T14:36:11.586214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 970
 
5.0%
949
 
4.9%
( 947
 
4.9%
852
 
4.4%
716
 
3.7%
526
 
2.7%
494
 
2.6%
424
 
2.2%
415
 
2.2%
391
 
2.0%
Other values (504) 12539
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16186
84.2%
Close Punctuation 971
 
5.1%
Open Punctuation 948
 
4.9%
Space Separator 852
 
4.4%
Uppercase Letter 195
 
1.0%
Decimal Number 34
 
0.2%
Other Punctuation 24
 
0.1%
Dash Punctuation 9
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
949
 
5.9%
716
 
4.4%
526
 
3.2%
494
 
3.1%
424
 
2.6%
415
 
2.6%
391
 
2.4%
389
 
2.4%
384
 
2.4%
341
 
2.1%
Other values (458) 11157
68.9%
Uppercase Letter
ValueCountFrequency (%)
S 36
18.5%
C 23
11.8%
T 20
10.3%
F 17
8.7%
K 17
8.7%
G 12
 
6.2%
J 9
 
4.6%
N 9
 
4.6%
I 6
 
3.1%
E 6
 
3.1%
Other values (14) 40
20.5%
Decimal Number
ValueCountFrequency (%)
2 13
38.2%
1 8
23.5%
3 6
17.6%
5 2
 
5.9%
0 2
 
5.9%
7 2
 
5.9%
4 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 12
50.0%
& 7
29.2%
/ 3
 
12.5%
· 1
 
4.2%
, 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
w 1
25.0%
k 1
25.0%
s 1
25.0%
p 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 970
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 947
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
852
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16186
84.2%
Common 2838
 
14.8%
Latin 199
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
949
 
5.9%
716
 
4.4%
526
 
3.2%
494
 
3.1%
424
 
2.6%
415
 
2.6%
391
 
2.4%
389
 
2.4%
384
 
2.4%
341
 
2.1%
Other values (458) 11157
68.9%
Latin
ValueCountFrequency (%)
S 36
18.1%
C 23
11.6%
T 20
10.1%
F 17
 
8.5%
K 17
 
8.5%
G 12
 
6.0%
J 9
 
4.5%
N 9
 
4.5%
I 6
 
3.0%
E 6
 
3.0%
Other values (18) 44
22.1%
Common
ValueCountFrequency (%)
) 970
34.2%
( 947
33.4%
852
30.0%
2 13
 
0.5%
. 12
 
0.4%
- 9
 
0.3%
1 8
 
0.3%
& 7
 
0.2%
3 6
 
0.2%
/ 3
 
0.1%
Other values (8) 11
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16186
84.2%
ASCII 3036
 
15.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 970
31.9%
( 947
31.2%
852
28.1%
S 36
 
1.2%
C 23
 
0.8%
T 20
 
0.7%
F 17
 
0.6%
K 17
 
0.6%
2 13
 
0.4%
G 12
 
0.4%
Other values (35) 129
 
4.2%
Hangul
ValueCountFrequency (%)
949
 
5.9%
716
 
4.4%
526
 
3.2%
494
 
3.1%
424
 
2.6%
415
 
2.6%
391
 
2.4%
389
 
2.4%
384
 
2.4%
341
 
2.1%
Other values (458) 11157
68.9%
None
ValueCountFrequency (%)
· 1
100.0%

최종수정시점
Real number (ℝ)

Distinct1564
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0137823 × 1013
Minimum2.0030522 × 1013
Maximum2.0210226 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-17T14:36:11.713941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030522 × 1013
5-th percentile2.0031013 × 1013
Q12.0081124 × 1013
median2.015122 × 1013
Q32.019043 × 1013
95-th percentile2.0202562 × 1013
Maximum2.0210226 × 1013
Range1.7970414 × 1011
Interquartile range (IQR)1.0930576 × 1011

Descriptive statistics

Standard deviation5.8297627 × 1010
Coefficient of variation (CV)0.002894932
Kurtosis-1.1795953
Mean2.0137823 × 1013
Median Absolute Deviation (MAD)4.899244 × 1010
Skewness-0.4828266
Sum3.4194023 × 1016
Variance3.3986133 × 1021
MonotonicityNot monotonic
2024-04-17T14:36:11.836364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20041004000000 20
 
1.2%
20030602000000 14
 
0.8%
20040416000000 8
 
0.5%
20070601000000 7
 
0.4%
20030616000000 7
 
0.4%
20040805000000 6
 
0.4%
20030623000000 5
 
0.3%
20050203000000 5
 
0.3%
20030528000000 5
 
0.3%
20030530000000 5
 
0.3%
Other values (1554) 1616
95.2%
ValueCountFrequency (%)
20030522000000 1
 
0.1%
20030523000000 2
 
0.1%
20030526000000 3
 
0.2%
20030527000000 3
 
0.2%
20030528000000 5
 
0.3%
20030529000000 2
 
0.1%
20030530000000 5
 
0.3%
20030602000000 14
0.8%
20030605000000 2
 
0.1%
20030609000000 1
 
0.1%
ValueCountFrequency (%)
20210226142610 1
0.1%
20210225154459 1
0.1%
20210224154845 1
0.1%
20210223150428 1
0.1%
20210223145222 1
0.1%
20210222151352 1
0.1%
20210222141832 1
0.1%
20210218183733 1
0.1%
20210216092517 1
0.1%
20210215184234 1
0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
I
1182 
U
516 

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 1182
69.6%
U 516
30.4%

Length

2024-04-17T14:36:11.955207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:36:12.048977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1182
69.6%
u 516
30.4%
Distinct322
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-28 02:40:00
2024-04-17T14:36:12.142295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T14:36:12.286993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
위탁급식영업
1697 
<NA>
 
1

Length

Max length6
Median length6
Mean length5.9988221
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 1697
99.9%
<NA> 1
 
0.1%

Length

2024-04-17T14:36:12.416364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:36:12.521899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 1697
99.9%
na 1
 
0.1%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct1116
Distinct (%)71.6%
Missing140
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean382324.23
Minimum365010.39
Maximum407785.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-17T14:36:12.623717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum365010.39
5-th percentile366621.37
Q1371070.27
median383088.97
Q3389923.56
95-th percentile399046.73
Maximum407785.94
Range42775.552
Interquartile range (IQR)18853.291

Descriptive statistics

Standard deviation10525.022
Coefficient of variation (CV)0.027529049
Kurtosis-0.9517286
Mean382324.23
Median Absolute Deviation (MAD)7997.0154
Skewness-0.0010918455
Sum5.9566116 × 108
Variance1.107761 × 108
MonotonicityNot monotonic
2024-04-17T14:36:12.751654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
382570.401135476 14
 
0.8%
391796.495138673 12
 
0.7%
366543.906759876 9
 
0.5%
389811.392307835 8
 
0.5%
388199.207334794 7
 
0.4%
384030.498741004 6
 
0.4%
389087.131613449 6
 
0.4%
383317.542366441 6
 
0.4%
371094.285732956 5
 
0.3%
380039.42787448 5
 
0.3%
Other values (1106) 1480
87.2%
(Missing) 140
 
8.2%
ValueCountFrequency (%)
365010.390597385 1
 
0.1%
365093.532168897 1
 
0.1%
365094.004922601 1
 
0.1%
365115.866440903 4
0.2%
365292.225416155 2
0.1%
365307.209621952 1
 
0.1%
365331.554111646 1
 
0.1%
365359.221940167 2
0.1%
365395.142740959 1
 
0.1%
365399.645488953 1
 
0.1%
ValueCountFrequency (%)
407785.942175253 1
 
0.1%
407533.057972118 2
0.1%
406868.288952732 1
 
0.1%
406242.577428169 4
0.2%
405967.49653678 1
 
0.1%
405914.665215376 1
 
0.1%
405900.785278243 1
 
0.1%
405732.292736473 2
0.1%
405651.592697969 1
 
0.1%
405621.168961124 1
 
0.1%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct1116
Distinct (%)71.6%
Missing140
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean185046.65
Minimum174279.76
Maximum210424.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-17T14:36:12.863122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174279.76
5-th percentile177101.21
Q1178895.01
median183994.83
Q3189070.01
95-th percentile203778.51
Maximum210424.66
Range36144.896
Interquartile range (IQR)10174.999

Descriptive statistics

Standard deviation7390.6243
Coefficient of variation (CV)0.039939249
Kurtosis0.78386535
Mean185046.65
Median Absolute Deviation (MAD)5100.2151
Skewness1.0737664
Sum2.8830268 × 108
Variance54621328
MonotonicityNot monotonic
2024-04-17T14:36:13.284440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187570.045156033 14
 
0.8%
183632.373950837 12
 
0.7%
177215.872329016 9
 
0.5%
180523.822532435 8
 
0.5%
194848.323369342 7
 
0.4%
179806.024724594 6
 
0.4%
198411.005541894 6
 
0.4%
185013.86379536 6
 
0.4%
185672.987884383 5
 
0.3%
185929.061224432 5
 
0.3%
Other values (1106) 1480
87.2%
(Missing) 140
 
8.2%
ValueCountFrequency (%)
174279.764300288 2
0.1%
174282.637515014 1
 
0.1%
174294.918563971 1
 
0.1%
174315.265600106 3
0.2%
174355.708212487 2
0.1%
174406.140455233 1
 
0.1%
174554.282651552 1
 
0.1%
174579.426185065 1
 
0.1%
174683.069423816 1
 
0.1%
174689.221061664 1
 
0.1%
ValueCountFrequency (%)
210424.660206307 1
0.1%
210246.141637797 1
0.1%
210015.613769918 1
0.1%
209053.527592549 1
0.1%
207205.169188125 1
0.1%
206785.626185688 1
0.1%
206475.252052201 2
0.1%
205878.362596249 1
0.1%
205815.507582338 1
0.1%
205725.080113219 2
0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
위탁급식영업
1697 
<NA>
 
1

Length

Max length6
Median length6
Mean length5.9988221
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 1697
99.9%
<NA> 1
 
0.1%

Length

2024-04-17T14:36:13.407662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:36:13.535111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 1697
99.9%
na 1
 
0.1%

남성종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
<NA>
1311 
0
365 
1
 
17
2
 
3
5
 
1

Length

Max length4
Median length4
Mean length3.3162544
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1311
77.2%
0 365
 
21.5%
1 17
 
1.0%
2 3
 
0.2%
5 1
 
0.1%
3 1
 
0.1%

Length

2024-04-17T14:36:13.665864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:36:13.768476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1311
77.2%
0 365
 
21.5%
1 17
 
1.0%
2 3
 
0.2%
5 1
 
0.1%
3 1
 
0.1%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)3.7%
Missing1290
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean0.78676471
Minimum0
Maximum20
Zeros330
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-17T14:36:13.870363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.2058937
Coefficient of variation (CV)2.8037527
Kurtosis22.76693
Mean0.78676471
Median Absolute Deviation (MAD)0
Skewness4.2196529
Sum321
Variance4.8659669
MonotonicityNot monotonic
2024-04-17T14:36:13.998875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 330
 
19.4%
2 20
 
1.2%
4 15
 
0.9%
3 13
 
0.8%
1 11
 
0.6%
7 4
 
0.2%
6 3
 
0.2%
12 3
 
0.2%
5 2
 
0.1%
8 2
 
0.1%
Other values (5) 5
 
0.3%
(Missing) 1290
76.0%
ValueCountFrequency (%)
0 330
19.4%
1 11
 
0.6%
2 20
 
1.2%
3 13
 
0.8%
4 15
 
0.9%
5 2
 
0.1%
6 3
 
0.2%
7 4
 
0.2%
8 2
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
20 1
 
0.1%
13 1
 
0.1%
12 3
0.2%
11 1
 
0.1%
10 1
 
0.1%
9 1
 
0.1%
8 2
0.1%
7 4
0.2%
6 3
0.2%
5 2
0.1%

영업장주변구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
<NA>
1589 
기타
 
88
주택가주변
 
7
아파트지역
 
5
학교정화(절대)
 
4
Other values (3)
 
5

Length

Max length8
Median length4
Mean length3.9240283
Min length2

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> 1589
93.6%
기타 88
 
5.2%
주택가주변 7
 
0.4%
아파트지역 5
 
0.3%
학교정화(절대) 4
 
0.2%
유흥업소밀집지역 3
 
0.2%
결혼예식장주변 1
 
0.1%
학교정화(상대) 1
 
0.1%

Length

2024-04-17T14:36:14.128859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:36:14.266790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1589
93.6%
기타 88
 
5.2%
주택가주변 7
 
0.4%
아파트지역 5
 
0.3%
학교정화(절대 4
 
0.2%
유흥업소밀집지역 3
 
0.2%
결혼예식장주변 1
 
0.1%
학교정화(상대 1
 
0.1%

등급구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
<NA>
1651 
자율
 
33
기타
 
14

Length

Max length4
Median length4
Mean length3.9446408
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> 1651
97.2%
자율 33
 
1.9%
기타 14
 
0.8%

Length

2024-04-17T14:36:14.401640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:36:14.500453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1651
97.2%
자율 33
 
1.9%
기타 14
 
0.8%
Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
<NA>
1086 
상수도전용
586 
지하수전용
 
23
상수도(음용)지하수(주방용)겸용
 
3

Length

Max length17
Median length4
Mean length4.3816254
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1086
64.0%
상수도전용 586
34.5%
지하수전용 23
 
1.4%
상수도(음용)지하수(주방용)겸용 3
 
0.2%

Length

2024-04-17T14:36:14.598821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:36:14.701926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1086
64.0%
상수도전용 586
34.5%
지하수전용 23
 
1.4%
상수도(음용)지하수(주방용)겸용 3
 
0.2%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1698
Missing (%)100.0%
Memory size15.1 KiB

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
<NA>
1692 
0
 
6

Length

Max length4
Median length4
Mean length3.9893993
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> 1692
99.6%
0 6
 
0.4%

Length

2024-04-17T14:36:14.822706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:36:14.938408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1692
99.6%
0 6
 
0.4%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
<NA>
1693 
0
 
5

Length

Max length4
Median length4
Mean length3.9911661
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> 1693
99.7%
0 5
 
0.3%

Length

2024-04-17T14:36:15.058378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:36:15.163190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1693
99.7%
0 5
 
0.3%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
<NA>
1693 
0
 
5

Length

Max length4
Median length4
Mean length3.9911661
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> 1693
99.7%
0 5
 
0.3%

Length

2024-04-17T14:36:15.262750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:36:15.358753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1693
99.7%
0 5
 
0.3%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
<NA>
1693 
0
 
5

Length

Max length4
Median length4
Mean length3.9911661
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> 1693
99.7%
0 5
 
0.3%

Length

2024-04-17T14:36:15.461891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:36:15.566513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1693
99.7%
0 5
 
0.3%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1698
Missing (%)100.0%
Memory size15.1 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
<NA>
1692 
0
 
6

Length

Max length4
Median length4
Mean length3.9893993
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> 1692
99.6%
0 6
 
0.4%

Length

2024-04-17T14:36:15.666898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:36:15.762569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1692
99.6%
0 6
 
0.4%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
<NA>
1692 
0
 
6

Length

Max length4
Median length4
Mean length3.9893993
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> 1692
99.6%
0 6
 
0.4%

Length

2024-04-17T14:36:15.866491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:36:15.965776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1692
99.6%
0 6
 
0.4%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
False
1698 
ValueCountFrequency (%)
False 1698
100.0%
2024-04-17T14:36:16.046472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct977
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184.28977
Minimum0
Maximum4950
Zeros571
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-17T14:36:16.147972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median116.05
Q3252.64
95-th percentile603.45
Maximum4950
Range4950
Interquartile range (IQR)252.64

Descriptive statistics

Standard deviation293.9155
Coefficient of variation (CV)1.5948552
Kurtosis61.732153
Mean184.28977
Median Absolute Deviation (MAD)116.05
Skewness5.7706999
Sum312924.03
Variance86386.318
MonotonicityNot monotonic
2024-04-17T14:36:16.279056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 571
33.6%
132.0 7
 
0.4%
131.04 4
 
0.2%
264.0 4
 
0.2%
300.0 4
 
0.2%
66.0 4
 
0.2%
165.0 4
 
0.2%
12.0 4
 
0.2%
70.0 4
 
0.2%
90.0 4
 
0.2%
Other values (967) 1088
64.1%
ValueCountFrequency (%)
0.0 571
33.6%
2.39 1
 
0.1%
3.88 1
 
0.1%
5.5 1
 
0.1%
5.66 1
 
0.1%
5.78 1
 
0.1%
5.94 1
 
0.1%
6.0 3
 
0.2%
6.3 1
 
0.1%
6.6 1
 
0.1%
ValueCountFrequency (%)
4950.0 1
0.1%
3412.2 1
0.1%
2923.72 1
0.1%
2593.8 1
0.1%
2115.0 1
0.1%
2088.92 1
0.1%
2036.23 1
0.1%
1932.68 1
0.1%
1914.01 1
0.1%
1914.0 1
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1698
Missing (%)100.0%
Memory size15.1 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1698
Missing (%)100.0%
Memory size15.1 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1698
Missing (%)100.0%
Memory size15.1 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1698
Missing (%)100.0%
Memory size15.1 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
01위탁급식영업07_21_01_P32500003250000-120-2008-0000120081222<NA>1영업/정상1영업<NA><NA><NA><NA>051 660 2401411.30600816부산광역시 중구 중앙동4가 74-1번지부산광역시 중구 충장대로13번길 67 (중앙동4가)48934웰리브디섹점20200427150246U2020-04-29 02:40:00.0위탁급식영업385873.204924181044.594333위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N411.3<NA><NA><NA><NA>
12위탁급식영업07_21_01_P32500003250000-120-2009-0000120090303<NA>1영업/정상1영업<NA><NA><NA><NA>051 7187229443.75600015부산광역시 중구 중앙동5가 50번지부산광역시 중구 중앙대로 52 (중앙동5가)48942(주)아워홈엘지유플러스 중앙동사옥점20200326202336U2020-03-28 02:40:00.0위탁급식영업385650.848776180019.638851위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N443.75<NA><NA><NA><NA>
23위탁급식영업07_21_01_P32500003250000-120-2003-0000120030523<NA>1영업/정상1영업<NA><NA><NA><NA>051 4630400308.00600816부산광역시 중구 중앙동4가 75-1부산광역시 중구 충장대로5번길 72 (중앙동4가)48934재단법인 케이티그룹희망나눔재단 서부산20210226142610U2021-02-28 02:40:00.0위탁급식영업385811.634937180996.883871위탁급식영업00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N308.0<NA><NA><NA><NA>
34위탁급식영업07_21_01_P32500003250000-120-2003-0000320031009<NA>1영업/정상1영업<NA><NA><NA><NA>051 462846810.14600013부산광역시 중구 중앙동3가 18-1번지부산광역시 중구 대청로 135 (중앙동3가)48931씨제이프레시웨이 주식회사 SC은행부산점20161031151520I2018-08-31 23:59:59.0위탁급식영업385463.118214180123.108148위탁급식영업00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N10.14<NA><NA><NA><NA>
45위탁급식영업07_21_01_P32500003250000-120-2006-0000120060403<NA>1영업/정상1영업<NA><NA><NA><NA>051 464 7307<NA>600814부산광역시 중구 중앙동4가 22-1번지부산광역시 중구 충장대로 6 (중앙동4가)48941(주)아워홈한진중공업중앙점20200313140101U2020-03-15 02:40:00.0위탁급식영업385668.490694180298.97818위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
56위탁급식영업07_21_01_P32500003250000-120-2006-0000220061012<NA>1영업/정상1영업<NA><NA><NA><NA>051 660 6323153.11600816부산광역시 중구 중앙동4가 74-11번지부산광역시 중구 중앙대로148번길 13 (중앙동4가)48934명문푸드서비스(주)(부산지방보훈청)20130814172229I2018-08-31 23:59:59.0위탁급식영업385849.59648180938.063707위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N153.11<NA><NA><NA><NA>
67위탁급식영업07_21_01_P32500003250000-120-2020-0000120200701<NA>1영업/정상1영업<NA><NA><NA><NA><NA>500.00600017부산광역시 중구 중앙동7가 20-1 롯데백화점광복점부산광역시 중구 중앙대로 2, 롯데백화점광복점 지하 2층 (중앙동7가)48944롯데푸드(주)롯데백화점 광복점20200701134359I2020-07-03 00:23:16.0위탁급식영업385590.814677179553.867032위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N500.0<NA><NA><NA><NA>
78위탁급식영업07_21_01_P32500003250000-120-2007-0000120070424<NA>3폐업2폐업20100614<NA><NA><NA>051 244605946.02600023부산광역시 중구 동광동3가 1-2번지<NA><NA>선미식품20070424000000I2018-08-31 23:59:59.0위탁급식영업385426.971852180059.930553위탁급식영업00기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N46.02<NA><NA><NA><NA>
89위탁급식영업07_21_01_P32500003250000-120-2009-0000220091211<NA>3폐업2폐업20200630<NA><NA><NA>051 6782089499.71600017부산광역시 중구 중앙동7가 20-1 외 110필지 롯데백화점부산광역시 중구 중앙대로 2 (중앙동7가, 외 110필지 롯데백화점)48944(주) 엠푸드 롯데백화점 광복지점20200630152536U2020-07-02 02:40:00.0위탁급식영업385590.814677179553.867032위탁급식영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N499.71<NA><NA><NA><NA>
910위탁급식영업07_21_01_P32500003250000-120-2011-0000120111209<NA>3폐업2폐업20150911<NA><NA><NA>070 77065826194.94600046부산광역시 중구 남포동6가 63번지부산광역시 중구 구덕로 90 (남포동6가)48981바른정형외과점20150716144057I2018-08-31 23:59:59.0위탁급식영업384670.317658179489.43507위탁급식영업<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N194.94<NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
16881689위탁급식영업07_21_01_P33300003330000-120-2003-0001020030619<NA>3폐업2폐업20100105<NA><NA><NA>051 7426533<NA>612846부산광역시 해운대구 중동 1411-1번지<NA><NA>(주)에이텍서비스 파라다이스호텔20070102000000I2018-08-31 23:59:59.0위탁급식영업397114.551437186672.768207위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
16891690위탁급식영업07_21_01_P33300003330000-120-2003-0001220030621<NA>3폐업2폐업20120521<NA><NA><NA><NA><NA>612846부산광역시 해운대구 중동 1408-5번지부산광역시 해운대구 해운대해변로 296 (중동)48099삼성에버랜드(주)파라다이스호텔20120430163905I2018-08-31 23:59:59.0위탁급식영업397216.86091186702.956398위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
16901691위탁급식영업07_21_01_P33300003330000-120-2003-0001120030621<NA>3폐업2폐업20071204<NA><NA><NA>051 5203000<NA>612809부산광역시 해운대구 반여동 791-1번지<NA><NA>(주)서원통상 동희정공점20051220000000I2018-08-31 23:59:59.0위탁급식영업<NA><NA>위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
16911692위탁급식영업07_21_01_P33300003330000-120-2003-0001320030624<NA>3폐업2폐업20160706<NA><NA><NA>7315216<NA>612818부산광역시 해운대구 우동 278번지 해운대중,고등학교<NA><NA>(주)다조에프앤에스20070605000000I2018-08-31 23:59:59.0위탁급식영업<NA><NA>위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
16921693위탁급식영업07_21_01_P33300003330000-120-2003-0001420030625<NA>3폐업2폐업20071119<NA><NA><NA>051 7833078<NA>612050부산광역시 해운대구 재송동 1329번지<NA><NA>(주)서원통상 기린반여점20040913000000I2018-08-31 23:59:59.0위탁급식영업392834.943298190123.491885위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
16931694위탁급식영업07_21_01_P33300003330000-120-2003-0001520030627<NA>3폐업2폐업20091202<NA><NA><NA>051 7434448<NA>612823부산광역시 해운대구 우동 934-2번지<NA><NA>주식회사 남양도시락20030627000000I2018-08-31 23:59:59.0위탁급식영업395320.758711187448.045063위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
16941695위탁급식영업07_21_01_P33300003330000-120-2003-0001620030627<NA>3폐업2폐업20101208<NA><NA><NA>051 5428881<NA>612802부산광역시 해운대구 반송동 248-1번지<NA><NA>농협외식사업단성심정보고점20090317154036I2018-08-31 23:59:59.0위탁급식영업396206.249746193917.505881위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
16951696위탁급식영업07_21_01_P33300003330000-120-2018-0000320180409<NA>3폐업2폐업20190927<NA><NA><NA>051 973 4378<NA>612020부산광역시 해운대구 우동 1466-2번지 영상산업센터부산광역시 해운대구 센텀서로 39, 영상산업센터 4층 (우동)48058파머스푸드 영상산업센터점20190927165415U2019-09-29 02:40:00.0위탁급식영업393674.032956187973.297243위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>
16961697위탁급식영업07_21_01_P33300003330000-120-2015-0000420151229<NA>3폐업2폐업20171229<NA><NA><NA>051 850 7831429.00612832부산광역시 해운대구 재송동 1133번지부산광역시 해운대구 재반로112번길 19 (재송동)48053(주)에스에프에스 동부지청점20171229164146I2018-08-31 23:59:59.0위탁급식영업393868.994321189852.559798위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N429.0<NA><NA><NA><NA>
16971698위탁급식영업07_21_01_P33300003330000-120-2020-0000220200604<NA>3폐업2폐업20200901<NA><NA><NA>051 702 137625.98612846부산광역시 해운대구 중동 1439-8부산광역시 해운대구 해운대로781번길 33, 4층 일부 (중동)48102맛있는 쿡20200901174711U2020-09-03 02:40:00.0위탁급식영업398074.12757188030.04337위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N25.98<NA><NA><NA><NA>