Overview

Dataset statistics

Number of variables48
Number of observations10000
Missing cells127854
Missing cells (%)26.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 MiB
Average record size in memory422.0 B

Variable types

Numeric11
Categorical18
Text6
Unsupported11
DateTime1
Boolean1

Dataset

Description2021-04-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123122

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
영업상태구분코드 has constant value ""Constant
영업상태명 has constant value ""Constant
상세영업상태코드 has constant value ""Constant
상세영업상태명 has constant value ""Constant
영업장주변구분명 is highly imbalanced (55.4%)Imbalance
등급구분명 is highly imbalanced (58.2%)Imbalance
급수시설구분명 is highly imbalanced (60.0%)Imbalance
본사종업원수 is highly imbalanced (99.7%)Imbalance
공장사무직종업원수 is highly imbalanced (99.7%)Imbalance
공장판매직종업원수 is highly imbalanced (99.7%)Imbalance
공장생산직종업원수 is highly imbalanced (99.7%)Imbalance
보증액 is highly imbalanced (99.7%)Imbalance
월세액 is highly imbalanced (99.7%)Imbalance
다중이용업소여부 is highly imbalanced (56.4%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 10000 (100.0%) missing valuesMissing
휴업시작일자 has 10000 (100.0%) missing valuesMissing
휴업종료일자 has 10000 (100.0%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지전화 has 3530 (35.3%) missing valuesMissing
소재지면적 has 146 (1.5%) missing valuesMissing
소재지우편번호 has 250 (2.5%) missing valuesMissing
도로명우편번호 has 115 (1.1%) missing valuesMissing
남성종사자수 has 6828 (68.3%) missing valuesMissing
여성종사자수 has 6825 (68.2%) missing valuesMissing
총종업원수 has 10000 (100.0%) missing valuesMissing
건물소유구분명 has 10000 (100.0%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소주된음식 has 10000 (100.0%) missing valuesMissing
홈페이지 has 10000 (100.0%) missing valuesMissing
Unnamed: 47 has 10000 (100.0%) missing valuesMissing
남성종사자수 is highly skewed (γ1 = 26.77106755)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐업일자 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
남성종사자수 has 3007 (30.1%) zerosZeros
여성종사자수 has 2929 (29.3%) zerosZeros
시설총규모 has 247 (2.5%) zerosZeros

Reproduction

Analysis started2024-04-20 12:17:25.897344
Analysis finished2024-04-20 12:17:29.662770
Duration3.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12084.273
Minimum2
Maximum24135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:17:29.857479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile1174.6
Q16027.25
median12091.5
Q318149.25
95-th percentile22915.25
Maximum24135
Range24133
Interquartile range (IQR)12122

Descriptive statistics

Standard deviation6989.8012
Coefficient of variation (CV)0.57842134
Kurtosis-1.2085911
Mean12084.273
Median Absolute Deviation (MAD)6060
Skewness-0.001536572
Sum1.2084273 × 108
Variance48857321
MonotonicityNot monotonic
2024-04-20T21:17:30.304835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16331 1
 
< 0.1%
20434 1
 
< 0.1%
15060 1
 
< 0.1%
15897 1
 
< 0.1%
21164 1
 
< 0.1%
11515 1
 
< 0.1%
4895 1
 
< 0.1%
17897 1
 
< 0.1%
13740 1
 
< 0.1%
13688 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
4 1
< 0.1%
10 1
< 0.1%
14 1
< 0.1%
16 1
< 0.1%
18 1
< 0.1%
19 1
< 0.1%
20 1
< 0.1%
22 1
< 0.1%
26 1
< 0.1%
ValueCountFrequency (%)
24135 1
< 0.1%
24134 1
< 0.1%
24129 1
< 0.1%
24126 1
< 0.1%
24124 1
< 0.1%
24122 1
< 0.1%
24121 1
< 0.1%
24120 1
< 0.1%
24116 1
< 0.1%
24114 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 10000
100.0%

Length

2024-04-20T21:17:30.705259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:17:30.998352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 10000
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
07_24_04_P
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_24_04_P
2nd row07_24_04_P
3rd row07_24_04_P
4th row07_24_04_P
5th row07_24_04_P

Common Values

ValueCountFrequency (%)
07_24_04_P 10000
100.0%

Length

2024-04-20T21:17:31.302146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:17:31.524216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_24_04_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3333766
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:17:31.696578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3270000
Q13300000
median3330000
Q33360000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation37898.824
Coefficient of variation (CV)0.011368172
Kurtosis-0.62346505
Mean3333766
Median Absolute Deviation (MAD)30000
Skewness-0.025618892
Sum3.333766 × 1010
Variance1.4363209 × 109
MonotonicityNot monotonic
2024-04-20T21:17:32.012986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 1547
15.5%
3290000 1074
10.7%
3350000 1002
10.0%
3340000 965
9.7%
3310000 777
7.8%
3300000 756
7.6%
3400000 743
7.4%
3370000 685
6.9%
3380000 577
 
5.8%
3320000 537
 
5.4%
Other values (6) 1337
13.4%
ValueCountFrequency (%)
3250000 301
 
3.0%
3260000 26
 
0.3%
3270000 318
 
3.2%
3280000 34
 
0.3%
3290000 1074
10.7%
3300000 756
7.6%
3310000 777
7.8%
3320000 537
 
5.4%
3330000 1547
15.5%
3340000 965
9.7%
ValueCountFrequency (%)
3400000 743
7.4%
3390000 440
 
4.4%
3380000 577
 
5.8%
3370000 685
6.9%
3360000 218
 
2.2%
3350000 1002
10.0%
3340000 965
9.7%
3330000 1547
15.5%
3320000 537
 
5.4%
3310000 777
7.8%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-20T21:17:32.844653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters220000
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

Unique10000 ?
Unique (%)100.0%

Sample

1st row3370000-101-2014-00111
2nd row3270000-101-2006-00009
3rd row3270000-101-1990-01441
4th row3350000-101-2017-00166
5th row3290000-101-2002-08596
ValueCountFrequency (%)
3370000-101-2014-00111 1
 
< 0.1%
3330000-101-1997-00904 1
 
< 0.1%
3330000-101-1984-03537 1
 
< 0.1%
3310000-101-2016-00143 1
 
< 0.1%
3290000-101-1997-02784 1
 
< 0.1%
3310000-101-2007-00102 1
 
< 0.1%
3250000-101-2011-00055 1
 
< 0.1%
3320000-101-2017-00012 1
 
< 0.1%
3400000-101-2013-00155 1
 
< 0.1%
3390000-101-2011-00014 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-20T21:17:34.018715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 87583
39.8%
1 34473
 
15.7%
- 30000
 
13.6%
3 22951
 
10.4%
2 15289
 
6.9%
9 8007
 
3.6%
4 5324
 
2.4%
5 4523
 
2.1%
7 4371
 
2.0%
8 4082
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190000
86.4%
Dash Punctuation 30000
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 87583
46.1%
1 34473
 
18.1%
3 22951
 
12.1%
2 15289
 
8.0%
9 8007
 
4.2%
4 5324
 
2.8%
5 4523
 
2.4%
7 4371
 
2.3%
8 4082
 
2.1%
6 3397
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 87583
39.8%
1 34473
 
15.7%
- 30000
 
13.6%
3 22951
 
10.4%
2 15289
 
6.9%
9 8007
 
3.6%
4 5324
 
2.4%
5 4523
 
2.1%
7 4371
 
2.0%
8 4082
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 87583
39.8%
1 34473
 
15.7%
- 30000
 
13.6%
3 22951
 
10.4%
2 15289
 
6.9%
9 8007
 
3.6%
4 5324
 
2.4%
5 4523
 
2.1%
7 4371
 
2.0%
8 4082
 
1.9%

인허가일자
Real number (ℝ)

Distinct4898
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20092472
Minimum19651118
Maximum20200803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:17:34.258981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19651118
5-th percentile19911223
Q120030916
median20120266
Q320170223
95-th percentile20190816
Maximum20200803
Range549685
Interquartile range (IQR)139306.5

Descriptive statistics

Standard deviation89778.814
Coefficient of variation (CV)0.0044682812
Kurtosis0.59483906
Mean20092472
Median Absolute Deviation (MAD)59746.5
Skewness-1.0136748
Sum2.0092472 × 1011
Variance8.0602355 × 109
MonotonicityNot monotonic
2024-04-20T21:17:34.507788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190628 15
 
0.1%
20190401 13
 
0.1%
20191218 11
 
0.1%
20190605 11
 
0.1%
20190415 11
 
0.1%
20190614 11
 
0.1%
20190419 11
 
0.1%
20191017 11
 
0.1%
20191209 11
 
0.1%
20180312 10
 
0.1%
Other values (4888) 9885
98.9%
ValueCountFrequency (%)
19651118 1
< 0.1%
19680212 1
< 0.1%
19690814 1
< 0.1%
19690915 1
< 0.1%
19701117 1
< 0.1%
19710227 1
< 0.1%
19710401 1
< 0.1%
19720624 1
< 0.1%
19721127 1
< 0.1%
19721129 2
< 0.1%
ValueCountFrequency (%)
20200803 7
0.1%
20200107 5
0.1%
20200106 3
 
< 0.1%
20191231 3
 
< 0.1%
20191230 1
 
< 0.1%
20191227 2
 
< 0.1%
20191224 6
0.1%
20191220 6
0.1%
20191219 5
0.1%
20191218 11
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

영업상태구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

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 (%)
1 10000
100.0%

Length

2024-04-20T21:17:34.753921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:17:34.909684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업/정상
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 10000
100.0%

Length

2024-04-20T21:17:35.162448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:17:35.450418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 10000
100.0%

상세영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

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 (%)
1 10000
100.0%

Length

2024-04-20T21:17:35.758508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:17:36.046529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업
10000 

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 (%)
영업 10000
100.0%

Length

2024-04-20T21:17:36.348247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:17:36.631439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 10000
100.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지전화
Text

MISSING 

Distinct6283
Distinct (%)97.1%
Missing3530
Missing (%)35.3%
Memory size156.2 KiB
2024-04-20T21:17:37.959628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.298764
Min length1

Characters and Unicode

Total characters73103
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

Unique6260 ?
Unique (%)96.8%

Sample

1st row051 867 8166
2nd row051 4683888
3rd row051 6341827
4th row051 513 9123
5th row051 8031363
ValueCountFrequency (%)
051 6098
38.1%
727 113
 
0.7%
728 89
 
0.6%
070 81
 
0.5%
722 60
 
0.4%
724 57
 
0.4%
721 54
 
0.3%
723 49
 
0.3%
868 48
 
0.3%
852 41
 
0.3%
Other values (5743) 9314
58.2%
2024-04-20T21:17:39.782006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 11345
15.5%
0 10869
14.9%
1 10247
14.0%
9565
13.1%
2 5852
8.0%
7 5011
6.9%
8 4622
6.3%
3 4483
 
6.1%
6 3978
 
5.4%
4 3613
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63538
86.9%
Space Separator 9565
 
13.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 11345
17.9%
0 10869
17.1%
1 10247
16.1%
2 5852
9.2%
7 5011
7.9%
8 4622
7.3%
3 4483
 
7.1%
6 3978
 
6.3%
4 3613
 
5.7%
9 3518
 
5.5%
Space Separator
ValueCountFrequency (%)
9565
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 73103
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 11345
15.5%
0 10869
14.9%
1 10247
14.0%
9565
13.1%
2 5852
8.0%
7 5011
6.9%
8 4622
6.3%
3 4483
 
6.1%
6 3978
 
5.4%
4 3613
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73103
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 11345
15.5%
0 10869
14.9%
1 10247
14.0%
9565
13.1%
2 5852
8.0%
7 5011
6.9%
8 4622
6.3%
3 4483
 
6.1%
6 3978
 
5.4%
4 3613
 
4.9%

소재지면적
Text

MISSING 

Distinct6145
Distinct (%)62.4%
Missing146
Missing (%)1.5%
Memory size156.2 KiB
2024-04-20T21:17:41.214342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.2284352
Min length3

Characters and Unicode

Total characters51521
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

Unique4434 ?
Unique (%)45.0%

Sample

1st row57.24
2nd row44.76
3rd row67.20
4th row58.16
5th row232.20
ValueCountFrequency (%)
33.00 38
 
0.4%
00 34
 
0.3%
30.00 33
 
0.3%
36.00 25
 
0.3%
40.00 24
 
0.2%
66.00 24
 
0.2%
26.40 23
 
0.2%
60.00 21
 
0.2%
50.00 18
 
0.2%
24.00 18
 
0.2%
Other values (6135) 9596
97.4%
2024-04-20T21:17:43.116254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 9854
19.1%
0 6835
13.3%
1 4948
9.6%
2 4655
9.0%
4 4012
7.8%
3 3964
7.7%
5 3912
 
7.6%
6 3829
 
7.4%
8 3489
 
6.8%
7 3038
 
5.9%
Other values (2) 2985
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41649
80.8%
Other Punctuation 9872
 
19.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6835
16.4%
1 4948
11.9%
2 4655
11.2%
4 4012
9.6%
3 3964
9.5%
5 3912
9.4%
6 3829
9.2%
8 3489
8.4%
7 3038
7.3%
9 2967
7.1%
Other Punctuation
ValueCountFrequency (%)
. 9854
99.8%
, 18
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 51521
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 9854
19.1%
0 6835
13.3%
1 4948
9.6%
2 4655
9.0%
4 4012
7.8%
3 3964
7.7%
5 3912
 
7.6%
6 3829
 
7.4%
8 3489
 
6.8%
7 3038
 
5.9%
Other values (2) 2985
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51521
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 9854
19.1%
0 6835
13.3%
1 4948
9.6%
2 4655
9.0%
4 4012
7.8%
3 3964
7.7%
5 3912
 
7.6%
6 3829
 
7.4%
8 3489
 
6.8%
7 3038
 
5.9%
Other values (2) 2985
 
5.8%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct745
Distinct (%)7.6%
Missing250
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean611341.85
Minimum600011
Maximum619953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:17:43.419869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600011
5-th percentile601827
Q1608801
median612020
Q3614826
95-th percentile619872
Maximum619953
Range19942
Interquartile range (IQR)6025

Descriptive statistics

Standard deviation4838.1307
Coefficient of variation (CV)0.007913953
Kurtosis-0.39580637
Mean611341.85
Median Absolute Deviation (MAD)2859
Skewness-0.33032696
Sum5.960583 × 109
Variance23407508
MonotonicityNot monotonic
2024-04-20T21:17:43.918048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609839 141
 
1.4%
607804 119
 
1.2%
608804 117
 
1.2%
604851 96
 
1.0%
612846 96
 
1.0%
612847 92
 
0.9%
619903 89
 
0.9%
612040 89
 
0.9%
618200 88
 
0.9%
614845 87
 
0.9%
Other values (735) 8736
87.4%
(Missing) 250
 
2.5%
ValueCountFrequency (%)
600011 3
 
< 0.1%
600012 10
0.1%
600013 7
0.1%
600017 12
0.1%
600022 5
0.1%
600023 3
 
< 0.1%
600025 1
 
< 0.1%
600032 5
0.1%
600033 4
 
< 0.1%
600041 2
 
< 0.1%
ValueCountFrequency (%)
619953 15
 
0.1%
619952 15
 
0.1%
619951 34
 
0.3%
619913 25
 
0.2%
619912 33
 
0.3%
619911 23
 
0.2%
619906 34
 
0.3%
619905 84
0.8%
619904 44
0.4%
619903 89
0.9%
Distinct9411
Distinct (%)94.2%
Missing8
Missing (%)0.1%
Memory size156.2 KiB
2024-04-20T21:17:45.105492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length53
Mean length23.627002
Min length15

Characters and Unicode

Total characters236081
Distinct characters508
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8947 ?
Unique (%)89.5%

Sample

1st row부산광역시 연제구 연산동 867-2번지 성일이안시티
2nd row부산광역시 동구 수정동 201-5번지 지상(2층)
3rd row부산광역시 동구 범일동 572-4번지
4th row부산광역시 금정구 구서동 420-40번지 지앤지호텔
5th row부산광역시 부산진구 부전동 255-1번지
ValueCountFrequency (%)
부산광역시 9992
 
22.2%
해운대구 1547
 
3.4%
부산진구 1073
 
2.4%
금정구 1001
 
2.2%
사하구 963
 
2.1%
남구 777
 
1.7%
동래구 754
 
1.7%
기장군 743
 
1.6%
연제구 685
 
1.5%
1층 658
 
1.5%
Other values (10151) 26844
59.6%
2024-04-20T21:17:46.529573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35048
 
14.8%
12061
 
5.1%
11904
 
5.0%
1 11502
 
4.9%
10858
 
4.6%
10327
 
4.4%
10127
 
4.3%
10007
 
4.2%
9587
 
4.1%
- 9197
 
3.9%
Other values (498) 105463
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139694
59.2%
Decimal Number 50267
 
21.3%
Space Separator 35048
 
14.8%
Dash Punctuation 9197
 
3.9%
Open Punctuation 644
 
0.3%
Close Punctuation 642
 
0.3%
Other Punctuation 354
 
0.1%
Uppercase Letter 172
 
0.1%
Math Symbol 34
 
< 0.1%
Lowercase Letter 25
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12061
 
8.6%
11904
 
8.5%
10858
 
7.8%
10327
 
7.4%
10127
 
7.2%
10007
 
7.2%
9587
 
6.9%
8576
 
6.1%
7909
 
5.7%
2443
 
1.7%
Other values (445) 45895
32.9%
Uppercase Letter
ValueCountFrequency (%)
B 53
30.8%
A 38
22.1%
C 13
 
7.6%
S 12
 
7.0%
T 8
 
4.7%
I 7
 
4.1%
G 6
 
3.5%
F 4
 
2.3%
W 4
 
2.3%
K 3
 
1.7%
Other values (10) 24
14.0%
Decimal Number
ValueCountFrequency (%)
1 11502
22.9%
2 6818
13.6%
3 5325
10.6%
4 4986
9.9%
5 4493
 
8.9%
0 3804
 
7.6%
6 3526
 
7.0%
7 3494
 
7.0%
9 3231
 
6.4%
8 3088
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 303
85.6%
. 29
 
8.2%
@ 12
 
3.4%
/ 4
 
1.1%
& 4
 
1.1%
' 1
 
0.3%
: 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
e 16
64.0%
c 4
 
16.0%
s 1
 
4.0%
n 1
 
4.0%
a 1
 
4.0%
b 1
 
4.0%
k 1
 
4.0%
Open Punctuation
ValueCountFrequency (%)
( 642
99.7%
[ 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 640
99.7%
] 2
 
0.3%
Space Separator
ValueCountFrequency (%)
35048
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9197
100.0%
Math Symbol
ValueCountFrequency (%)
~ 34
100.0%
Letter Number
ValueCountFrequency (%)
3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 139694
59.2%
Common 96187
40.7%
Latin 200
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12061
 
8.6%
11904
 
8.5%
10858
 
7.8%
10327
 
7.4%
10127
 
7.2%
10007
 
7.2%
9587
 
6.9%
8576
 
6.1%
7909
 
5.7%
2443
 
1.7%
Other values (445) 45895
32.9%
Latin
ValueCountFrequency (%)
B 53
26.5%
A 38
19.0%
e 16
 
8.0%
C 13
 
6.5%
S 12
 
6.0%
T 8
 
4.0%
I 7
 
3.5%
G 6
 
3.0%
c 4
 
2.0%
F 4
 
2.0%
Other values (18) 39
19.5%
Common
ValueCountFrequency (%)
35048
36.4%
1 11502
 
12.0%
- 9197
 
9.6%
2 6818
 
7.1%
3 5325
 
5.5%
4 4986
 
5.2%
5 4493
 
4.7%
0 3804
 
4.0%
6 3526
 
3.7%
7 3494
 
3.6%
Other values (15) 7994
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139694
59.2%
ASCII 96384
40.8%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35048
36.4%
1 11502
 
11.9%
- 9197
 
9.5%
2 6818
 
7.1%
3 5325
 
5.5%
4 4986
 
5.2%
5 4493
 
4.7%
0 3804
 
3.9%
6 3526
 
3.7%
7 3494
 
3.6%
Other values (42) 8191
 
8.5%
Hangul
ValueCountFrequency (%)
12061
 
8.6%
11904
 
8.5%
10858
 
7.8%
10327
 
7.4%
10127
 
7.2%
10007
 
7.2%
9587
 
6.9%
8576
 
6.1%
7909
 
5.7%
2443
 
1.7%
Other values (445) 45895
32.9%
Number Forms
ValueCountFrequency (%)
3
100.0%
Distinct9600
Distinct (%)96.8%
Missing80
Missing (%)0.8%
Memory size156.2 KiB
2024-04-20T21:17:48.381493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length58
Mean length30.19748
Min length19

Characters and Unicode

Total characters299559
Distinct characters540
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9328 ?
Unique (%)94.0%

Sample

1st row부산광역시 연제구 연제로 31, 1층 101호 (연산동, 성일이안시티)
2nd row부산광역시 동구 중앙대로371번길 22 (수정동,지상(2층))
3rd row부산광역시 동구 범일로90번길 14-1 (범일동)
4th row부산광역시 금정구 금정로 242, 10층 (구서동)
5th row부산광역시 부산진구 중앙대로 711 (부전동)
ValueCountFrequency (%)
부산광역시 9920
 
17.1%
1층 2500
 
4.3%
해운대구 1525
 
2.6%
부산진구 1061
 
1.8%
금정구 993
 
1.7%
사하구 949
 
1.6%
남구 775
 
1.3%
동래구 756
 
1.3%
기장군 737
 
1.3%
연제구 684
 
1.2%
Other values (6457) 38024
65.6%
2024-04-20T21:17:50.531074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48024
 
16.0%
1 13644
 
4.6%
12343
 
4.1%
12235
 
4.1%
12058
 
4.0%
10607
 
3.5%
10391
 
3.5%
9935
 
3.3%
9704
 
3.2%
) 9640
 
3.2%
Other values (530) 150978
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174692
58.3%
Decimal Number 48236
 
16.1%
Space Separator 48024
 
16.0%
Close Punctuation 9644
 
3.2%
Open Punctuation 9642
 
3.2%
Other Punctuation 6833
 
2.3%
Dash Punctuation 1997
 
0.7%
Uppercase Letter 365
 
0.1%
Math Symbol 90
 
< 0.1%
Lowercase Letter 31
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12343
 
7.1%
12235
 
7.0%
12058
 
6.9%
10607
 
6.1%
10391
 
5.9%
9935
 
5.7%
9704
 
5.6%
9550
 
5.5%
5343
 
3.1%
5039
 
2.9%
Other values (475) 77487
44.4%
Uppercase Letter
ValueCountFrequency (%)
B 107
29.3%
A 89
24.4%
C 33
 
9.0%
S 21
 
5.8%
P 14
 
3.8%
E 14
 
3.8%
T 12
 
3.3%
I 10
 
2.7%
G 10
 
2.7%
D 10
 
2.7%
Other values (11) 45
12.3%
Decimal Number
ValueCountFrequency (%)
1 13644
28.3%
2 7161
14.8%
3 4915
 
10.2%
0 3997
 
8.3%
4 3841
 
8.0%
5 3565
 
7.4%
6 3176
 
6.6%
7 2770
 
5.7%
8 2621
 
5.4%
9 2546
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 6764
99.0%
. 41
 
0.6%
@ 13
 
0.2%
/ 5
 
0.1%
· 3
 
< 0.1%
& 3
 
< 0.1%
* 2
 
< 0.1%
' 1
 
< 0.1%
: 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 25
80.6%
a 2
 
6.5%
s 1
 
3.2%
n 1
 
3.2%
c 1
 
3.2%
k 1
 
3.2%
Close Punctuation
ValueCountFrequency (%)
) 9640
> 99.9%
] 4
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 9638
> 99.9%
[ 4
 
< 0.1%
Space Separator
ValueCountFrequency (%)
48024
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1997
100.0%
Math Symbol
ValueCountFrequency (%)
~ 90
100.0%
Letter Number
ValueCountFrequency (%)
4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174692
58.3%
Common 124467
41.6%
Latin 400
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12343
 
7.1%
12235
 
7.0%
12058
 
6.9%
10607
 
6.1%
10391
 
5.9%
9935
 
5.7%
9704
 
5.6%
9550
 
5.5%
5343
 
3.1%
5039
 
2.9%
Other values (475) 77487
44.4%
Latin
ValueCountFrequency (%)
B 107
26.8%
A 89
22.2%
C 33
 
8.2%
e 25
 
6.2%
S 21
 
5.2%
P 14
 
3.5%
E 14
 
3.5%
T 12
 
3.0%
I 10
 
2.5%
G 10
 
2.5%
Other values (18) 65
16.2%
Common
ValueCountFrequency (%)
48024
38.6%
1 13644
 
11.0%
) 9640
 
7.7%
( 9638
 
7.7%
2 7161
 
5.8%
, 6764
 
5.4%
3 4915
 
3.9%
0 3997
 
3.2%
4 3841
 
3.1%
5 3565
 
2.9%
Other values (17) 13278
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174692
58.3%
ASCII 124860
41.7%
Number Forms 4
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48024
38.5%
1 13644
 
10.9%
) 9640
 
7.7%
( 9638
 
7.7%
2 7161
 
5.7%
, 6764
 
5.4%
3 4915
 
3.9%
0 3997
 
3.2%
4 3841
 
3.1%
5 3565
 
2.9%
Other values (43) 13671
 
10.9%
Hangul
ValueCountFrequency (%)
12343
 
7.1%
12235
 
7.0%
12058
 
6.9%
10607
 
6.1%
10391
 
5.9%
9935
 
5.7%
9704
 
5.6%
9550
 
5.5%
5343
 
3.1%
5039
 
2.9%
Other values (475) 77487
44.4%
Number Forms
ValueCountFrequency (%)
4
100.0%
None
ValueCountFrequency (%)
· 3
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1536
Distinct (%)15.5%
Missing115
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean47666.691
Minimum46002
Maximum49527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:17:50.837562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46061
Q146912
median47772
Q348304
95-th percentile49398
Maximum49527
Range3525
Interquartile range (IQR)1392

Descriptive statistics

Standard deviation1003.8275
Coefficient of variation (CV)0.021059308
Kurtosis-0.93648089
Mean47666.691
Median Absolute Deviation (MAD)726
Skewness0.0019667961
Sum4.7118524 × 108
Variance1007669.7
MonotonicityNot monotonic
2024-04-20T21:17:51.296759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 89
 
0.9%
48095 80
 
0.8%
48512 70
 
0.7%
47736 69
 
0.7%
48079 67
 
0.7%
46066 60
 
0.6%
48111 54
 
0.5%
48059 52
 
0.5%
47292 50
 
0.5%
48498 49
 
0.5%
Other values (1526) 9245
92.5%
(Missing) 115
 
1.1%
ValueCountFrequency (%)
46002 1
 
< 0.1%
46003 6
 
0.1%
46004 8
 
0.1%
46005 1
 
< 0.1%
46006 1
 
< 0.1%
46007 3
 
< 0.1%
46008 46
0.5%
46010 2
 
< 0.1%
46012 9
 
0.1%
46013 7
 
0.1%
ValueCountFrequency (%)
49527 8
 
0.1%
49526 1
 
< 0.1%
49525 4
 
< 0.1%
49524 13
0.1%
49523 1
 
< 0.1%
49522 8
 
0.1%
49521 31
0.3%
49520 2
 
< 0.1%
49519 1
 
< 0.1%
49518 4
 
< 0.1%
Distinct9075
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-20T21:17:52.563100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length5.9326
Min length1

Characters and Unicode

Total characters59326
Distinct characters1111
Distinct categories13 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8487 ?
Unique (%)84.9%

Sample

1st row까페꿀
2nd row바코드(barcode)
3rd row초원통돼지김치찌개
4th row지앤지엔젤레스토랑
5th row고향맛
ValueCountFrequency (%)
부산대점 28
 
0.2%
해운대점 24
 
0.2%
정관점 22
 
0.2%
굽네치킨 20
 
0.2%
연산점 20
 
0.2%
식당 20
 
0.2%
옛날통닭 19
 
0.2%
칼국수 18
 
0.1%
치킨신드롬 17
 
0.1%
처갓집양념치킨 17
 
0.1%
Other values (9640) 12038
98.3%
2024-04-20T21:17:54.352997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2245
 
3.8%
1494
 
2.5%
1180
 
2.0%
911
 
1.5%
763
 
1.3%
758
 
1.3%
735
 
1.2%
719
 
1.2%
693
 
1.2%
673
 
1.1%
Other values (1101) 49155
82.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52439
88.4%
Space Separator 2245
 
3.8%
Lowercase Letter 1140
 
1.9%
Uppercase Letter 1097
 
1.8%
Decimal Number 797
 
1.3%
Close Punctuation 663
 
1.1%
Open Punctuation 663
 
1.1%
Other Punctuation 248
 
0.4%
Dash Punctuation 16
 
< 0.1%
Letter Number 10
 
< 0.1%
Other values (3) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1494
 
2.8%
1180
 
2.3%
911
 
1.7%
763
 
1.5%
758
 
1.4%
735
 
1.4%
719
 
1.4%
693
 
1.3%
673
 
1.3%
654
 
1.2%
Other values (1016) 43859
83.6%
Uppercase Letter
ValueCountFrequency (%)
C 91
 
8.3%
B 84
 
7.7%
O 78
 
7.1%
A 77
 
7.0%
E 75
 
6.8%
H 62
 
5.7%
M 56
 
5.1%
T 56
 
5.1%
S 55
 
5.0%
N 48
 
4.4%
Other values (16) 415
37.8%
Lowercase Letter
ValueCountFrequency (%)
e 146
12.8%
o 119
 
10.4%
a 110
 
9.6%
n 85
 
7.5%
i 83
 
7.3%
r 63
 
5.5%
c 58
 
5.1%
h 51
 
4.5%
t 51
 
4.5%
s 49
 
4.3%
Other values (15) 325
28.5%
Other Punctuation
ValueCountFrequency (%)
& 110
44.4%
. 59
23.8%
, 32
 
12.9%
' 15
 
6.0%
· 10
 
4.0%
! 10
 
4.0%
# 3
 
1.2%
? 3
 
1.2%
@ 2
 
0.8%
: 2
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 167
21.0%
2 128
16.1%
0 122
15.3%
9 76
9.5%
7 71
8.9%
3 68
8.5%
6 46
 
5.8%
8 43
 
5.4%
5 38
 
4.8%
4 38
 
4.8%
Math Symbol
ValueCountFrequency (%)
+ 3
60.0%
~ 1
 
20.0%
= 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 661
99.7%
] 2
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 661
99.7%
[ 2
 
0.3%
Letter Number
ValueCountFrequency (%)
8
80.0%
2
 
20.0%
Space Separator
ValueCountFrequency (%)
2245
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52374
88.3%
Common 4640
 
7.8%
Latin 2247
 
3.8%
Han 63
 
0.1%
Hiragana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1494
 
2.9%
1180
 
2.3%
911
 
1.7%
763
 
1.5%
758
 
1.4%
735
 
1.4%
719
 
1.4%
693
 
1.3%
673
 
1.3%
654
 
1.2%
Other values (959) 43794
83.6%
Han
ValueCountFrequency (%)
4
 
6.3%
3
 
4.8%
3
 
4.8%
2
 
3.2%
1
 
1.6%
1
 
1.6%
1
 
1.6%
1
 
1.6%
1
 
1.6%
1
 
1.6%
Other values (45) 45
71.4%
Latin
ValueCountFrequency (%)
e 146
 
6.5%
o 119
 
5.3%
a 110
 
4.9%
C 91
 
4.0%
n 85
 
3.8%
B 84
 
3.7%
i 83
 
3.7%
O 78
 
3.5%
A 77
 
3.4%
E 75
 
3.3%
Other values (43) 1299
57.8%
Common
ValueCountFrequency (%)
2245
48.4%
) 661
 
14.2%
( 661
 
14.2%
1 167
 
3.6%
2 128
 
2.8%
0 122
 
2.6%
& 110
 
2.4%
9 76
 
1.6%
7 71
 
1.5%
3 68
 
1.5%
Other values (22) 331
 
7.1%
Hiragana
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52374
88.3%
ASCII 6865
 
11.6%
CJK 62
 
0.1%
None 10
 
< 0.1%
Number Forms 10
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
Hiragana 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2245
32.7%
) 661
 
9.6%
( 661
 
9.6%
1 167
 
2.4%
e 146
 
2.1%
2 128
 
1.9%
0 122
 
1.8%
o 119
 
1.7%
a 110
 
1.6%
& 110
 
1.6%
Other values (71) 2396
34.9%
Hangul
ValueCountFrequency (%)
1494
 
2.9%
1180
 
2.3%
911
 
1.7%
763
 
1.5%
758
 
1.4%
735
 
1.4%
719
 
1.4%
693
 
1.3%
673
 
1.3%
654
 
1.2%
Other values (959) 43794
83.6%
None
ValueCountFrequency (%)
· 10
100.0%
Number Forms
ValueCountFrequency (%)
8
80.0%
2
 
20.0%
CJK
ValueCountFrequency (%)
4
 
6.5%
3
 
4.8%
3
 
4.8%
2
 
3.2%
1
 
1.6%
1
 
1.6%
1
 
1.6%
1
 
1.6%
1
 
1.6%
1
 
1.6%
Other values (44) 44
71.0%
Letterlike Symbols
ValueCountFrequency (%)
2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Hiragana
ValueCountFrequency (%)
1
50.0%
1
50.0%

최종수정시점
Real number (ℝ)

Distinct9967
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0176078 × 1013
Minimum1.9990315 × 1013
Maximum2.0210226 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:17:54.780539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990315 × 1013
5-th percentile2.0111116 × 1013
Q12.0170104 × 1013
median2.0190227 × 1013
Q32.020042 × 1013
95-th percentile2.0210119 × 1013
Maximum2.0210226 × 1013
Range2.1991119 × 1011
Interquartile range (IQR)3.0316048 × 1010

Descriptive statistics

Standard deviation3.3264446 × 1010
Coefficient of variation (CV)0.0016487072
Kurtosis4.7489963
Mean2.0176078 × 1013
Median Absolute Deviation (MAD)1.0683466 × 1010
Skewness-1.9352791
Sum2.0176078 × 1017
Variance1.1065234 × 1021
MonotonicityNot monotonic
2024-04-20T21:17:55.220790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20050603000000 7
 
0.1%
20040604000000 5
 
0.1%
20020523000000 4
 
< 0.1%
20040610000000 4
 
< 0.1%
20020516000000 3
 
< 0.1%
20020507000000 3
 
< 0.1%
20020225000000 3
 
< 0.1%
20050531000000 3
 
< 0.1%
20060810000000 2
 
< 0.1%
20070110000000 2
 
< 0.1%
Other values (9957) 9964
99.6%
ValueCountFrequency (%)
19990315000000 1
< 0.1%
19990317000000 1
< 0.1%
19990320000000 1
< 0.1%
19990426000000 1
< 0.1%
19990503000000 1
< 0.1%
19990507000000 1
< 0.1%
20000419000000 1
< 0.1%
20010119000000 1
< 0.1%
20010302000000 1
< 0.1%
20010705000000 1
< 0.1%
ValueCountFrequency (%)
20210226194733 1
< 0.1%
20210226154625 1
< 0.1%
20210226152713 1
< 0.1%
20210226140001 1
< 0.1%
20210226130821 1
< 0.1%
20210226120456 1
< 0.1%
20210226114204 1
< 0.1%
20210226104740 1
< 0.1%
20210225175816 1
< 0.1%
20210225162310 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
U
5342 
I
4658 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 5342
53.4%
I 4658
46.6%

Length

2024-04-20T21:17:55.624839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:17:55.953894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 5342
53.4%
i 4658
46.6%
Distinct780
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-28 02:40:00
2024-04-20T21:17:56.262346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T21:17:56.694085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4105 
기타
973 
호프/통닭
881 
경양식
729 
분식
693 
Other values (24)
2619 

Length

Max length15
Median length2
Mean length3.2697
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row기타
2nd row기타
3rd row한식
4th row한식
5th row경양식

Common Values

ValueCountFrequency (%)
한식 4105
41.0%
기타 973
 
9.7%
호프/통닭 881
 
8.8%
경양식 729
 
7.3%
분식 693
 
6.9%
식육(숯불구이) 661
 
6.6%
중국식 359
 
3.6%
통닭(치킨) 327
 
3.3%
회집 288
 
2.9%
정종/대포집/소주방 242
 
2.4%
Other values (19) 742
 
7.4%

Length

2024-04-20T21:17:57.141138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4105
41.0%
기타 973
 
9.7%
호프/통닭 881
 
8.8%
경양식 729
 
7.3%
분식 693
 
6.9%
식육(숯불구이 661
 
6.6%
중국식 359
 
3.6%
통닭(치킨 327
 
3.3%
회집 288
 
2.9%
정종/대포집/소주방 242
 
2.4%
Other values (19) 742
 
7.4%

좌표정보(x)
Real number (ℝ)

Distinct8460
Distinct (%)84.9%
Missing36
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean389315.13
Minimum365640.5
Maximum407704.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:17:57.533755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum365640.5
5-th percentile379268.53
Q1385127.41
median389669.03
Q3392843.3
95-th percentile400696
Maximum407704.1
Range42063.596
Interquartile range (IQR)7715.8855

Descriptive statistics

Standard deviation6392.6756
Coefficient of variation (CV)0.016420311
Kurtosis0.045638292
Mean389315.13
Median Absolute Deviation (MAD)3819.3784
Skewness-0.023303089
Sum3.879136 × 109
Variance40866301
MonotonicityNot monotonic
2024-04-20T21:17:58.029592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
395560.220499924 15
 
0.1%
379212.079721725 14
 
0.1%
393952.264486105 13
 
0.1%
385590.814676765 12
 
0.1%
401565.273951069 12
 
0.1%
393605.930358633 12
 
0.1%
398320.764293408 10
 
0.1%
398330.516530402 10
 
0.1%
387991.858940226 9
 
0.1%
401669.0 9
 
0.1%
Other values (8450) 9848
98.5%
(Missing) 36
 
0.4%
ValueCountFrequency (%)
365640.503678325 1
< 0.1%
366750.818205353 1
< 0.1%
366778.837130241 1
< 0.1%
366868.429229268 1
< 0.1%
366894.214048508 1
< 0.1%
366932.944608323 2
< 0.1%
367008.391899012 1
< 0.1%
367086.124920201 1
< 0.1%
367097.171189292 1
< 0.1%
367132.725381906 1
< 0.1%
ValueCountFrequency (%)
407704.099591732 1
< 0.1%
407684.387340404 1
< 0.1%
407681.822826568 1
< 0.1%
407636.639058464 1
< 0.1%
407594.171129694 1
< 0.1%
407560.42838879 1
< 0.1%
407556.4753504 2
< 0.1%
407543.307261317 1
< 0.1%
407517.185053364 1
< 0.1%
407488.023842076 1
< 0.1%

좌표정보(y)
Real number (ℝ)

Distinct8460
Distinct (%)84.9%
Missing36
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean188150.73
Minimum169741.35
Maximum211537.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:17:58.518762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169741.35
5-th percentile178902.16
Q1184134.79
median187711.3
Q3191725.11
95-th percentile198391.5
Maximum211537.27
Range41795.923
Interquartile range (IQR)7590.3242

Descriptive statistics

Standard deviation6179.0062
Coefficient of variation (CV)0.032840725
Kurtosis0.55387564
Mean188150.73
Median Absolute Deviation (MAD)3776.0692
Skewness0.43504392
Sum1.8747338 × 109
Variance38180118
MonotonicityNot monotonic
2024-04-20T21:17:58.988173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186273.769084383 15
 
0.1%
180390.068955488 14
 
0.1%
187602.933160728 13
 
0.1%
179553.867031936 12
 
0.1%
196052.928304277 12
 
0.1%
188324.973749177 12
 
0.1%
187928.258297607 10
 
0.1%
187771.511373596 10
 
0.1%
184124.742260293 9
 
0.1%
190270.0 9
 
0.1%
Other values (8450) 9848
98.5%
(Missing) 36
 
0.4%
ValueCountFrequency (%)
169741.350466391 1
< 0.1%
170020.600937816 1
< 0.1%
170114.596522953 1
< 0.1%
171419.527737619 1
< 0.1%
173707.853555419 1
< 0.1%
173718.54780644 1
< 0.1%
173723.944438485 1
< 0.1%
173774.749818918 1
< 0.1%
173778.919517875 1
< 0.1%
173821.368430337 1
< 0.1%
ValueCountFrequency (%)
211537.273110377 1
< 0.1%
210655.165682828 1
< 0.1%
210340.747427853 1
< 0.1%
210271.0098519 1
< 0.1%
210251.647085189 1
< 0.1%
210169.093320309 1
< 0.1%
210122.770644004 1
< 0.1%
210111.936748537 1
< 0.1%
210020.285497387 1
< 0.1%
209965.363834714 1
< 0.1%

위생업태명
Categorical

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4099 
기타
964 
호프/통닭
880 
경양식
771 
분식
682 
Other values (24)
2604 

Length

Max length15
Median length2
Mean length3.265
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row기타
2nd row기타
3rd row한식
4th row한식
5th row경양식

Common Values

ValueCountFrequency (%)
한식 4099
41.0%
기타 964
 
9.6%
호프/통닭 880
 
8.8%
경양식 771
 
7.7%
분식 682
 
6.8%
식육(숯불구이) 650
 
6.5%
중국식 363
 
3.6%
회집 339
 
3.4%
통닭(치킨) 336
 
3.4%
정종/대포집/소주방 243
 
2.4%
Other values (19) 673
 
6.7%

Length

2024-04-20T21:17:59.451682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4099
41.0%
기타 964
 
9.6%
호프/통닭 880
 
8.8%
경양식 771
 
7.7%
분식 682
 
6.8%
식육(숯불구이 650
 
6.5%
중국식 363
 
3.6%
회집 339
 
3.4%
통닭(치킨 336
 
3.4%
정종/대포집/소주방 243
 
2.4%
Other values (19) 673
 
6.7%

남성종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7
Distinct (%)0.2%
Missing6828
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean0.068411097
Minimum0
Maximum20
Zeros3007
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:17:59.763349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.46584876
Coefficient of variation (CV)6.8095497
Kurtosis1072.2631
Mean0.068411097
Median Absolute Deviation (MAD)0
Skewness26.771068
Sum217
Variance0.21701507
MonotonicityNot monotonic
2024-04-20T21:18:00.027318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 3007
30.1%
1 142
 
1.4%
2 16
 
0.2%
3 4
 
< 0.1%
20 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
(Missing) 6828
68.3%
ValueCountFrequency (%)
0 3007
30.1%
1 142
 
1.4%
2 16
 
0.2%
3 4
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
20 1
 
< 0.1%
ValueCountFrequency (%)
20 1
 
< 0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%
3 4
 
< 0.1%
2 16
 
0.2%
1 142
 
1.4%
0 3007
30.1%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)0.3%
Missing6825
Missing (%)68.2%
Infinite0
Infinite (%)0.0%
Mean0.14425197
Minimum0
Maximum15
Zeros2929
Zeros (%)29.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:18:00.407601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.67634731
Coefficient of variation (CV)4.6886522
Kurtosis138.39296
Mean0.14425197
Median Absolute Deviation (MAD)0
Skewness9.4520193
Sum458
Variance0.45744568
MonotonicityNot monotonic
2024-04-20T21:18:00.828915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 2929
29.3%
1 137
 
1.4%
2 66
 
0.7%
3 24
 
0.2%
4 9
 
0.1%
5 3
 
< 0.1%
6 2
 
< 0.1%
10 2
 
< 0.1%
8 1
 
< 0.1%
11 1
 
< 0.1%
(Missing) 6825
68.2%
ValueCountFrequency (%)
0 2929
29.3%
1 137
 
1.4%
2 66
 
0.7%
3 24
 
0.2%
4 9
 
0.1%
5 3
 
< 0.1%
6 2
 
< 0.1%
8 1
 
< 0.1%
10 2
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
11 1
 
< 0.1%
10 2
 
< 0.1%
8 1
 
< 0.1%
6 2
 
< 0.1%
5 3
 
< 0.1%
4 9
 
0.1%
3 24
 
0.2%
2 66
0.7%
1 137
1.4%

영업장주변구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6935 
기타
1990 
주택가주변
 
677
유흥업소밀집지역
 
186
아파트지역
 
154
Other values (3)
 
58

Length

Max length8
Median length4
Mean length3.7825
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6935
69.3%
기타 1990
 
19.9%
주택가주변 677
 
6.8%
유흥업소밀집지역 186
 
1.9%
아파트지역 154
 
1.5%
학교정화(상대) 52
 
0.5%
학교정화(절대) 4
 
< 0.1%
결혼예식장주변 2
 
< 0.1%

Length

2024-04-20T21:18:01.510388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:18:01.888115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6935
69.3%
기타 1990
 
19.9%
주택가주변 677
 
6.8%
유흥업소밀집지역 186
 
1.9%
아파트지역 154
 
1.5%
학교정화(상대 52
 
0.5%
학교정화(절대 4
 
< 0.1%
결혼예식장주변 2
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7473 
기타
1632 
자율
859 
지도
 
18
우수
 
12

Length

Max length4
Median length4
Mean length3.4946
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7473
74.7%
기타 1632
 
16.3%
자율 859
 
8.6%
지도 18
 
0.2%
우수 12
 
0.1%
관리 6
 
0.1%

Length

2024-04-20T21:18:02.289641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:18:02.495924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7473
74.7%
기타 1632
 
16.3%
자율 859
 
8.6%
지도 18
 
0.2%
우수 12
 
0.1%
관리 6
 
0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상수도전용
6053 
<NA>
3866 
지하수전용
 
58
간이상수도
 
14
상수도(음용)지하수(주방용)겸용
 
6

Length

Max length19
Median length5
Mean length4.6248
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 6053
60.5%
<NA> 3866
38.7%
지하수전용 58
 
0.6%
간이상수도 14
 
0.1%
상수도(음용)지하수(주방용)겸용 6
 
0.1%
전용상수도(특정시설의 자가용 수도) 3
 
< 0.1%

Length

2024-04-20T21:18:02.715353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:18:02.913892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 6053
60.5%
na 3866
38.6%
지하수전용 58
 
0.6%
간이상수도 14
 
0.1%
상수도(음용)지하수(주방용)겸용 6
 
0.1%
전용상수도(특정시설의 3
 
< 0.1%
자가용 3
 
< 0.1%
수도 3
 
< 0.1%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
0
 
2

Length

Max length4
Median length4
Mean length3.9994
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> 9998
> 99.9%
0 2
 
< 0.1%

Length

2024-04-20T21:18:03.340730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:18:03.653833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
0 2
 
< 0.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
0
 
2

Length

Max length4
Median length4
Mean length3.9994
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> 9998
> 99.9%
0 2
 
< 0.1%

Length

2024-04-20T21:18:04.034974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:18:04.310906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
0 2
 
< 0.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
0
 
2

Length

Max length4
Median length4
Mean length3.9994
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> 9998
> 99.9%
0 2
 
< 0.1%

Length

2024-04-20T21:18:04.490007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:18:04.661577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
0 2
 
< 0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
0
 
2

Length

Max length4
Median length4
Mean length3.9994
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> 9998
> 99.9%
0 2
 
< 0.1%

Length

2024-04-20T21:18:04.847221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:18:05.016128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
0 2
 
< 0.1%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
0
 
2

Length

Max length4
Median length4
Mean length3.9994
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> 9998
> 99.9%
0 2
 
< 0.1%

Length

2024-04-20T21:18:05.242699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:18:05.561952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
0 2
 
< 0.1%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
0
 
2

Length

Max length4
Median length4
Mean length3.9994
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> 9998
> 99.9%
0 2
 
< 0.1%

Length

2024-04-20T21:18:05.903389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:18:06.220002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
0 2
 
< 0.1%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9102 
True
 
898
ValueCountFrequency (%)
False 9102
91.0%
True 898
 
9.0%
2024-04-20T21:18:06.482903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct6113
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.132973
Minimum0
Maximum3222.96
Zeros247
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:18:06.708449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.85
Q132.76
median56.435
Q396
95-th percentile241.522
Maximum3222.96
Range3222.96
Interquartile range (IQR)63.24

Descriptive statistics

Standard deviation115.15684
Coefficient of variation (CV)1.3526703
Kurtosis128.36922
Mean85.132973
Median Absolute Deviation (MAD)28.035
Skewness8.2069923
Sum851329.73
Variance13261.099
MonotonicityNot monotonic
2024-04-20T21:18:06.957925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 247
 
2.5%
33.0 37
 
0.4%
30.0 34
 
0.3%
36.0 25
 
0.2%
40.0 24
 
0.2%
66.0 24
 
0.2%
26.4 22
 
0.2%
60.0 20
 
0.2%
24.0 18
 
0.2%
90.0 18
 
0.2%
Other values (6103) 9531
95.3%
ValueCountFrequency (%)
0.0 247
2.5%
2.94 1
 
< 0.1%
3.68 1
 
< 0.1%
3.99 1
 
< 0.1%
5.0 1
 
< 0.1%
5.23 1
 
< 0.1%
5.28 1
 
< 0.1%
5.4 1
 
< 0.1%
5.48 1
 
< 0.1%
5.5 1
 
< 0.1%
ValueCountFrequency (%)
3222.96 1
< 0.1%
2514.39 1
< 0.1%
2165.7 1
< 0.1%
1849.15 1
< 0.1%
1786.29 1
< 0.1%
1712.67 1
< 0.1%
1711.88 1
< 0.1%
1637.58 1
< 0.1%
1629.87 1
< 0.1%
1577.1 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
1633016331일반음식점07_24_04_P33700003370000-101-2014-0011120141010<NA>1영업/정상1영업<NA><NA><NA><NA>051 867 816657.24611829부산광역시 연제구 연산동 867-2번지 성일이안시티부산광역시 연제구 연제로 31, 1층 101호 (연산동, 성일이안시티)47606까페꿀20190718102533U2019-07-20 02:40:00.0기타389916.387192188345.810502기타<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N57.24<NA><NA><NA><NA>
2239622397일반음식점07_24_04_P32700003270000-101-2006-0000920060316<NA>1영업/정상1영업<NA><NA><NA><NA>051 468388844.76601812부산광역시 동구 수정동 201-5번지 지상(2층)부산광역시 동구 중앙대로371번길 22 (수정동,지상(2층))48788바코드(barcode)20190909141832U2019-09-11 02:40:00.0기타386565.997361183047.690425기타00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N44.76<NA><NA><NA><NA>
1556615567일반음식점07_24_04_P32700003270000-101-1990-0144119901029<NA>1영업/정상1영업<NA><NA><NA><NA>051 634182767.20601806부산광역시 동구 범일동 572-4번지부산광역시 동구 범일로90번길 14-1 (범일동)48745초원통돼지김치찌개20180410105646I2018-08-31 23:59:59.0한식387780.276375184023.288894한식00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N67.2<NA><NA><NA><NA>
53485349일반음식점07_24_04_P33500003350000-101-2017-0016620171107<NA>1영업/정상1영업<NA><NA><NA><NA>051 513 912358.16609853부산광역시 금정구 구서동 420-40번지 지앤지호텔부산광역시 금정구 금정로 242, 10층 (구서동)46274지앤지엔젤레스토랑20171129161002I2018-08-31 23:59:59.0한식390347.549734195952.674077한식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N58.16<NA><NA><NA><NA>
31933194일반음식점07_24_04_P32900003290000-101-2002-0859620020422<NA>1영업/정상1영업<NA><NA><NA><NA>051 8031363232.20614847부산광역시 부산진구 부전동 255-1번지부산광역시 부산진구 중앙대로 711 (부전동)47286고향맛20160622103035I2018-08-31 23:59:59.0경양식387531.686872186068.105207경양식00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N232.2<NA><NA><NA><NA>
866867일반음식점07_24_04_P32900003290000-101-2018-0021920180720<NA>1영업/정상1영업<NA><NA><NA><NA><NA>71.20614866부산광역시 부산진구 전포동 686-1번지 더블루2 1층, 102,103호부산광역시 부산진구 서전로38번길 65, 더블루2 1층 102,103호 (전포동)47294밥이보약20200423154612U2020-04-25 02:40:00.0한식388017.982185185904.127059한식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N71.2<NA><NA><NA><NA>
1671616717일반음식점07_24_04_P33300003330000-101-2003-0020320030609<NA>1영업/정상1영업<NA><NA><NA><NA>051 702988849.61612842부산광역시 해운대구 좌동 1485-4번지부산광역시 해운대구 세실로 31 (좌동, 대승프라임 103호)48111산들바다김밥20160923103706I2018-08-31 23:59:59.0김밥(도시락)398461.813175187579.129295김밥(도시락)00유흥업소밀집지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N49.61<NA><NA><NA><NA>
1666916670일반음식점07_24_04_P33100003310000-101-2017-0010720170821<NA>1영업/정상1영업<NA><NA><NA><NA>051 627517722.90608833부산광역시 남구 용호동 352-6번지부산광역시 남구 동명로118번길 9 (용호동)48566맥시칸치킨20180430135950I2018-08-31 23:59:59.0호프/통닭392267.012628182098.659906호프/통닭<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N22.9<NA><NA><NA><NA>
2348523486일반음식점07_24_04_P33900003390000-101-2008-0005620080513<NA>1영업/정상1영업<NA><NA><NA><NA><NA>40.00617807부산광역시 사상구 괘법동 536-2번지부산광역시 사상구 사상로212번길 20 (괘법동)46968산내양곱창20130320111004I2018-08-31 23:59:59.0한식380773.089197186805.78937한식<NA><NA>유흥업소밀집지역자율<NA><NA><NA><NA><NA><NA><NA><NA><NA>N40.0<NA><NA><NA><NA>
127128일반음식점07_24_04_P34000003400000-101-2002-0211420020320<NA>1영업/정상1영업<NA><NA><NA><NA>051 722654441.40619903부산광역시 기장군 기장읍 대라리 148-9번지부산광역시 기장군 기장읍 대청로45번길 1946070한스숯불치킨20160212144817I2018-08-31 23:59:59.0한식401575.902424195522.756931한식00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N41.4<NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
2010520106일반음식점07_24_04_P32600003260000-101-2019-0006820191111<NA>1영업/정상1영업<NA><NA><NA><NA>051 263 994086.28602829부산광역시 서구 아미동2가 231-28번지부산광역시 서구 옥천로 144, 1층 (아미동2가)49243디카커피20191211150716U2019-12-13 02:40:00.0기타383355.798411179549.212097기타<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N86.28<NA><NA><NA><NA>
2201522016일반음식점07_24_04_P33500003350000-101-1993-0071519931120<NA>1영업/정상1영업<NA><NA><NA><NA>051 517102188.20609420부산광역시 금정구 금성동 648부산광역시 금정구 동문로 91 (금성동)46238초원산장20201116113730U2020-11-18 02:40:00.0한식387286.974613196252.548186한식00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N88.2<NA><NA><NA><NA>
88098810일반음식점07_24_04_P33100003310000-101-2014-0003320140226<NA>1영업/정상1영업<NA><NA><NA><NA>051 923002343.08608090부산광역시 남구 용호동 976번지 쌍용예가@상가 107호부산광역시 남구 용호로216번가길 10, 107호 (용호동, 쌍용예가@상가)48574여우선장20190213160129U2019-02-15 02:40:00.0일식392258.592984181281.75435일식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N43.08<NA><NA><NA><NA>
1546415465일반음식점07_24_04_P33400003340000-101-2003-0022920031208<NA>1영업/정상1영업<NA><NA><NA><NA>051 2923345122.10604834부산광역시 사하구 신평동 624-12번지부산광역시 사하구 하신번영로157번길 34 (신평동)49431남해횟집20180503140045I2018-08-31 23:59:59.0한식378482.578338179276.951465한식00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N122.1<NA><NA><NA><NA>
1834118342일반음식점07_24_04_P33000003300000-101-2015-0024520151106<NA>1영업/정상1영업<NA><NA><NA><NA><NA>28.40607843부산광역시 동래구 온천동 1451-15번지부산광역시 동래구 충렬대로108번길 38 (온천동)47826미남포차20170728112537I2018-08-31 23:59:59.0정종/대포집/소주방388683.434752191496.174963정종/대포집/소주방<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N28.4<NA><NA><NA><NA>
1051610517일반음식점07_24_04_P33000003300000-101-2008-0005820080526<NA>1영업/정상1영업<NA><NA><NA><NA>051 531 031064.10607826부산광역시 동래구 안락동 465-26부산광역시 동래구 충렬대로459번길 85 (안락동)47793딸부잣집엄마밥상20200731110834U2020-08-02 02:40:00.0한식392135.445461190841.847102한식11기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N64.1<NA><NA><NA><NA>
72727273일반음식점07_24_04_P33000003300000-101-2012-0002520120228<NA>1영업/정상1영업<NA><NA><NA><NA><NA>65.73607815부산광역시 동래구 사직동 46-38번지부산광역시 동래구 사직북로 29 (사직동)47864봉달이김밥20190423115517U2019-04-25 02:40:00.0분식387537.221223190754.284186분식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N65.73<NA><NA><NA><NA>
1490514906일반음식점07_24_04_P34000003400000-101-2006-0009620061211<NA>1영업/정상1영업<NA><NA><NA><NA>051 722878930.34619903부산광역시 기장군 기장읍 대라리 130-1번지부산광역시 기장군 기장읍 대청로35번길 6046070맥시칸치킨20061211000000I2018-08-31 23:59:59.0통닭(치킨)401496.28983195708.81428통닭(치킨)11유흥업소밀집지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N30.34<NA><NA><NA><NA>
61136114일반음식점07_24_04_P33100003310000-101-2019-0010620190521<NA>1영업/정상1영업<NA><NA><NA><NA>051 626 889284.79608833부산광역시 남구 용호동 369-19번지부산광역시 남구 동명로131번길 36, 1층 (용호동)48527해양호장어구이20190605173105U2019-06-07 02:40:00.0한식392418.015196182304.964666한식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N84.79<NA><NA><NA><NA>
2266322664일반음식점07_24_04_P33900003390000-101-2012-0015120121105<NA>1영업/정상1영업<NA><NA><NA><NA>051 302 600699.64617814부산광역시 사상구 덕포동 395-11번지 상가 101호부산광역시 사상구 삼덕로 39 (덕포동)46947본가곰탕20121128110741I2018-08-31 23:59:59.0한식380413.350793187927.337317한식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N99.64<NA><NA><NA><NA>