Overview

Dataset statistics

Number of variables48
Number of observations10000
Missing cells127954
Missing cells (%)26.7%
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

Description2021-03-01
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 (55.0%)Imbalance
등급구분명 is highly imbalanced (61.6%)Imbalance
급수시설구분명 is highly imbalanced (60.6%)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 (57.8%)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 3513 (35.1%) missing valuesMissing
소재지면적 has 143 (1.4%) missing valuesMissing
소재지우편번호 has 245 (2.5%) missing valuesMissing
도로명우편번호 has 128 (1.3%) missing valuesMissing
남성종사자수 has 6878 (68.8%) missing valuesMissing
여성종사자수 has 6872 (68.7%) 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 = 26.61833417)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 2970 (29.7%) zerosZeros
여성종사자수 has 2892 (28.9%) zerosZeros
시설총규모 has 241 (2.4%) zerosZeros

Reproduction

Analysis started2024-04-20 12:19:51.237968
Analysis finished2024-04-20 12:19:55.251742
Duration4.01 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%
Mean11997.189
Minimum2
Maximum24143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:19:55.451413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile1215.7
Q15976.5
median11903.5
Q318014.25
95-th percentile22932.1
Maximum24143
Range24141
Interquartile range (IQR)12037.75

Descriptive statistics

Standard deviation6967.2834
Coefficient of variation (CV)0.58074302
Kurtosis-1.195964
Mean11997.189
Median Absolute Deviation (MAD)6023
Skewness0.015793863
Sum1.1997188 × 108
Variance48543038
MonotonicityNot monotonic
2024-04-20T21:19:55.809116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23610 1
 
< 0.1%
7166 1
 
< 0.1%
21727 1
 
< 0.1%
19780 1
 
< 0.1%
20224 1
 
< 0.1%
13114 1
 
< 0.1%
21557 1
 
< 0.1%
13344 1
 
< 0.1%
9661 1
 
< 0.1%
9481 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
5 1
< 0.1%
7 1
< 0.1%
9 1
< 0.1%
11 1
< 0.1%
14 1
< 0.1%
18 1
< 0.1%
20 1
< 0.1%
26 1
< 0.1%
27 1
< 0.1%
ValueCountFrequency (%)
24143 1
< 0.1%
24142 1
< 0.1%
24141 1
< 0.1%
24138 1
< 0.1%
24135 1
< 0.1%
24134 1
< 0.1%
24130 1
< 0.1%
24129 1
< 0.1%
24127 1
< 0.1%
24126 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

2024-04-20T21:19:56.032362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:19:56.194063image/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

2024-04-20T21:19:56.508864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:19:56.762691image/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%
Mean3333680
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:19:56.910725image/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 deviation37881.144
Coefficient of variation (CV)0.011363162
Kurtosis-0.6156062
Mean3333680
Median Absolute Deviation (MAD)30000
Skewness-0.0034088128
Sum3.33368 × 1010
Variance1.4349811 × 109
MonotonicityNot monotonic
2024-04-20T21:19:57.120931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 1537
15.4%
3290000 1106
11.1%
3350000 993
9.9%
3340000 979
9.8%
3310000 789
7.9%
3400000 779
7.8%
3300000 738
7.4%
3370000 661
6.6%
3320000 566
 
5.7%
3380000 534
 
5.3%
Other values (6) 1318
13.2%
ValueCountFrequency (%)
3250000 300
 
3.0%
3260000 18
 
0.2%
3270000 308
 
3.1%
3280000 35
 
0.4%
3290000 1106
11.1%
3300000 738
7.4%
3310000 789
7.9%
3320000 566
 
5.7%
3330000 1537
15.4%
3340000 979
9.8%
ValueCountFrequency (%)
3400000 779
7.8%
3390000 436
 
4.4%
3380000 534
 
5.3%
3370000 661
6.6%
3360000 221
 
2.2%
3350000 993
9.9%
3340000 979
9.8%
3330000 1537
15.4%
3320000 566
 
5.7%
3310000 789
7.9%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-20T21:19:57.793445image/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 row3300000-101-2005-00163
2nd row3340000-101-2011-00166
3rd row3330000-101-2016-00062
4th row3300000-101-2015-00226
5th row3290000-101-1992-02140
ValueCountFrequency (%)
3300000-101-2005-00163 1
 
< 0.1%
3310000-101-2019-00193 1
 
< 0.1%
3290000-101-1993-01204 1
 
< 0.1%
3320000-101-2016-00171 1
 
< 0.1%
3320000-101-2005-00115 1
 
< 0.1%
3360000-101-2019-00197 1
 
< 0.1%
3400000-101-2019-00227 1
 
< 0.1%
3290000-101-2010-00208 1
 
< 0.1%
3390000-101-2013-00071 1
 
< 0.1%
3340000-101-2002-00102 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-20T21:19:58.646607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 87705
39.9%
1 34476
 
15.7%
- 30000
 
13.6%
3 22885
 
10.4%
2 15258
 
6.9%
9 7983
 
3.6%
4 5388
 
2.4%
5 4468
 
2.0%
7 4345
 
2.0%
8 4035
 
1.8%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 87705
46.2%
1 34476
 
18.1%
3 22885
 
12.0%
2 15258
 
8.0%
9 7983
 
4.2%
4 5388
 
2.8%
5 4468
 
2.4%
7 4345
 
2.3%
8 4035
 
2.1%
6 3457
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 87705
39.9%
1 34476
 
15.7%
- 30000
 
13.6%
3 22885
 
10.4%
2 15258
 
6.9%
9 7983
 
3.6%
4 5388
 
2.4%
5 4468
 
2.0%
7 4345
 
2.0%
8 4035
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 87705
39.9%
1 34476
 
15.7%
- 30000
 
13.6%
3 22885
 
10.4%
2 15258
 
6.9%
9 7983
 
3.6%
4 5388
 
2.4%
5 4468
 
2.0%
7 4345
 
2.0%
8 4035
 
1.8%

인허가일자
Real number (ℝ)

Distinct4848
Distinct (%)48.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20092924
Minimum19651118
Maximum20200803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:19:59.050736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19651118
5-th percentile19920111
Q120031213
median20120405
Q320170317
95-th percentile20190813
Maximum20200803
Range549685
Interquartile range (IQR)139104.25

Descriptive statistics

Standard deviation90441.139
Coefficient of variation (CV)0.0045011436
Kurtosis0.74892141
Mean20092924
Median Absolute Deviation (MAD)59705
Skewness-1.0607813
Sum2.0092924 × 1011
Variance8.1795996 × 109
MonotonicityNot monotonic
2024-04-20T21:19:59.502515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190610 13
 
0.1%
20191122 12
 
0.1%
20191202 11
 
0.1%
20190325 11
 
0.1%
20190607 11
 
0.1%
20190418 11
 
0.1%
20190605 11
 
0.1%
20190417 11
 
0.1%
20190628 11
 
0.1%
20190429 11
 
0.1%
Other values (4838) 9887
98.9%
ValueCountFrequency (%)
19651118 1
< 0.1%
19671223 1
< 0.1%
19680212 1
< 0.1%
19690814 2
< 0.1%
19700627 1
< 0.1%
19710227 1
< 0.1%
19710401 1
< 0.1%
19710719 1
< 0.1%
19720414 1
< 0.1%
19721007 1
< 0.1%
ValueCountFrequency (%)
20200803 8
0.1%
20200107 3
 
< 0.1%
20200106 3
 
< 0.1%
20191231 6
0.1%
20191230 1
 
< 0.1%
20191227 4
 
< 0.1%
20191224 6
0.1%
20191220 5
0.1%
20191219 2
 
< 0.1%
20191218 10
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

2024-04-20T21:19:59.911540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:20:00.201023image/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

2024-04-20T21:20:00.507044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:20:00.795095image/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

2024-04-20T21:20:01.306098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:20:01.662095image/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

2024-04-20T21:20:01.988032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:20:02.285399image/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 

Distinct6288
Distinct (%)96.9%
Missing3513
Missing (%)35.1%
Memory size156.2 KiB
2024-04-20T21:20:04.171028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.296901
Min length1

Characters and Unicode

Total characters73283
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6250 ?
Unique (%)96.3%

Sample

1st row051 5558896
2nd row051 2083332
3rd row051 5569233
4th row051 8523540
5th row051 552 5737
ValueCountFrequency (%)
051 6100
38.1%
727 108
 
0.7%
728 96
 
0.6%
070 78
 
0.5%
722 63
 
0.4%
721 53
 
0.3%
724 52
 
0.3%
852 51
 
0.3%
723 44
 
0.3%
747 40
 
0.2%
Other values (5755) 9322
58.2%
2024-04-20T21:20:06.097655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 11283
15.4%
0 10799
14.7%
1 10349
14.1%
9552
13.0%
2 6000
8.2%
7 4951
6.8%
8 4632
6.3%
3 4570
6.2%
6 4021
 
5.5%
9 3571
 
4.9%
Other values (2) 3555
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63730
87.0%
Space Separator 9552
 
13.0%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 11283
17.7%
0 10799
16.9%
1 10349
16.2%
2 6000
9.4%
7 4951
7.8%
8 4632
7.3%
3 4570
7.2%
6 4021
 
6.3%
9 3571
 
5.6%
4 3554
 
5.6%
Space Separator
ValueCountFrequency (%)
9552
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 73283
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 11283
15.4%
0 10799
14.7%
1 10349
14.1%
9552
13.0%
2 6000
8.2%
7 4951
6.8%
8 4632
6.3%
3 4570
6.2%
6 4021
 
5.5%
9 3571
 
4.9%
Other values (2) 3555
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73283
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 11283
15.4%
0 10799
14.7%
1 10349
14.1%
9552
13.0%
2 6000
8.2%
7 4951
6.8%
8 4632
6.3%
3 4570
6.2%
6 4021
 
5.5%
9 3571
 
4.9%
Other values (2) 3555
 
4.9%

소재지면적
Text

MISSING 

Distinct6178
Distinct (%)62.7%
Missing143
Missing (%)1.4%
Memory size156.2 KiB
2024-04-20T21:20:07.690677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.2296845
Min length3

Characters and Unicode

Total characters51549
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

Unique4422 ?
Unique (%)44.9%

Sample

1st row94.52
2nd row97.67
3rd row55.21
4th row75.95
5th row20.93
ValueCountFrequency (%)
30.00 36
 
0.4%
00 36
 
0.4%
33.00 34
 
0.3%
66.00 33
 
0.3%
36.00 26
 
0.3%
49.50 25
 
0.3%
40.00 25
 
0.3%
48.00 24
 
0.2%
24.00 23
 
0.2%
26.40 20
 
0.2%
Other values (6168) 9575
97.1%
2024-04-20T21:20:09.360047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 9857
19.1%
0 6706
13.0%
1 4927
9.6%
2 4638
9.0%
4 4090
7.9%
3 3960
7.7%
5 3877
 
7.5%
6 3776
 
7.3%
8 3484
 
6.8%
7 3212
 
6.2%
Other values (2) 3022
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41662
80.8%
Other Punctuation 9887
 
19.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6706
16.1%
1 4927
11.8%
2 4638
11.1%
4 4090
9.8%
3 3960
9.5%
5 3877
9.3%
6 3776
9.1%
8 3484
8.4%
7 3212
7.7%
9 2992
7.2%
Other Punctuation
ValueCountFrequency (%)
. 9857
99.7%
, 30
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 51549
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 9857
19.1%
0 6706
13.0%
1 4927
9.6%
2 4638
9.0%
4 4090
7.9%
3 3960
7.7%
5 3877
 
7.5%
6 3776
 
7.3%
8 3484
 
6.8%
7 3212
 
6.2%
Other values (2) 3022
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51549
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 9857
19.1%
0 6706
13.0%
1 4927
9.6%
2 4638
9.0%
4 4090
7.9%
3 3960
7.7%
5 3877
 
7.5%
6 3776
 
7.3%
8 3484
 
6.8%
7 3212
 
6.2%
Other values (2) 3022
 
5.9%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct743
Distinct (%)7.6%
Missing245
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean611405.3
Minimum600011
Maximum619953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:20:09.789356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600011
5-th percentile601827
Q1608801
median612030
Q3614839
95-th percentile619901
Maximum619953
Range19942
Interquartile range (IQR)6038

Descriptive statistics

Standard deviation4863.1969
Coefficient of variation (CV)0.0079541295
Kurtosis-0.41879571
Mean611405.3
Median Absolute Deviation (MAD)3193
Skewness-0.32245251
Sum5.9642587 × 109
Variance23650684
MonotonicityNot monotonic
2024-04-20T21:20:10.254477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609839 143
 
1.4%
608804 123
 
1.2%
604851 110
 
1.1%
607804 104
 
1.0%
612847 99
 
1.0%
618200 91
 
0.9%
616852 84
 
0.8%
619905 84
 
0.8%
612040 81
 
0.8%
612846 80
 
0.8%
Other values (733) 8756
87.6%
(Missing) 245
 
2.5%
ValueCountFrequency (%)
600011 4
 
< 0.1%
600012 11
0.1%
600013 3
 
< 0.1%
600015 1
 
< 0.1%
600016 1
 
< 0.1%
600017 8
0.1%
600021 1
 
< 0.1%
600022 7
0.1%
600023 1
 
< 0.1%
600024 1
 
< 0.1%
ValueCountFrequency (%)
619953 15
 
0.1%
619952 22
 
0.2%
619951 39
0.4%
619913 22
 
0.2%
619912 32
 
0.3%
619911 41
0.4%
619906 47
0.5%
619905 84
0.8%
619904 47
0.5%
619903 68
0.7%
Distinct9381
Distinct (%)93.9%
Missing8
Missing (%)0.1%
Memory size156.2 KiB
2024-04-20T21:20:11.531152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length53
Mean length23.698159
Min length16

Characters and Unicode

Total characters236792
Distinct characters499
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8906 ?
Unique (%)89.1%

Sample

1st row부산광역시 동래구 온천동 143-23번지
2nd row부산광역시 사하구 하단동 500-69번지
3rd row부산광역시 해운대구 우동 1008-5번지
4th row부산광역시 동래구 온천동 191-5번지
5th row부산광역시 부산진구 양정동 271-51번지
ValueCountFrequency (%)
부산광역시 9992
 
22.2%
해운대구 1536
 
3.4%
부산진구 1105
 
2.4%
금정구 992
 
2.2%
사하구 978
 
2.2%
남구 789
 
1.7%
기장군 779
 
1.7%
동래구 737
 
1.6%
연제구 661
 
1.5%
1층 649
 
1.4%
Other values (10085) 26886
59.6%
2024-04-20T21:20:13.093858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35119
 
14.8%
12111
 
5.1%
11957
 
5.0%
1 11451
 
4.8%
10804
 
4.6%
10341
 
4.4%
10142
 
4.3%
10005
 
4.2%
9566
 
4.0%
- 9197
 
3.9%
Other values (489) 106099
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 140289
59.2%
Decimal Number 50281
 
21.2%
Space Separator 35119
 
14.8%
Dash Punctuation 9197
 
3.9%
Open Punctuation 618
 
0.3%
Close Punctuation 616
 
0.3%
Other Punctuation 373
 
0.2%
Uppercase Letter 227
 
0.1%
Lowercase Letter 40
 
< 0.1%
Math Symbol 30
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12111
 
8.6%
11957
 
8.5%
10804
 
7.7%
10341
 
7.4%
10142
 
7.2%
10005
 
7.1%
9566
 
6.8%
8789
 
6.3%
8129
 
5.8%
2401
 
1.7%
Other values (429) 46044
32.8%
Uppercase Letter
ValueCountFrequency (%)
B 62
27.3%
A 48
21.1%
S 21
 
9.3%
T 12
 
5.3%
K 11
 
4.8%
G 11
 
4.8%
C 10
 
4.4%
E 7
 
3.1%
I 6
 
2.6%
O 6
 
2.6%
Other values (11) 33
14.5%
Lowercase Letter
ValueCountFrequency (%)
e 11
27.5%
a 5
12.5%
c 5
12.5%
l 4
 
10.0%
i 3
 
7.5%
r 2
 
5.0%
s 2
 
5.0%
n 2
 
5.0%
b 2
 
5.0%
k 1
 
2.5%
Other values (3) 3
 
7.5%
Decimal Number
ValueCountFrequency (%)
1 11451
22.8%
2 6927
13.8%
3 5500
10.9%
4 5052
10.0%
5 4463
 
8.9%
0 3764
 
7.5%
6 3464
 
6.9%
7 3446
 
6.9%
9 3130
 
6.2%
8 3084
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 320
85.8%
. 33
 
8.8%
@ 11
 
2.9%
/ 6
 
1.6%
: 2
 
0.5%
& 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 28
93.3%
< 1
 
3.3%
= 1
 
3.3%
Open Punctuation
ValueCountFrequency (%)
( 616
99.7%
[ 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 614
99.7%
] 2
 
0.3%
Space Separator
ValueCountFrequency (%)
35119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9197
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 140289
59.2%
Common 96234
40.6%
Latin 269
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12111
 
8.6%
11957
 
8.5%
10804
 
7.7%
10341
 
7.4%
10142
 
7.2%
10005
 
7.1%
9566
 
6.8%
8789
 
6.3%
8129
 
5.8%
2401
 
1.7%
Other values (429) 46044
32.8%
Latin
ValueCountFrequency (%)
B 62
23.0%
A 48
17.8%
S 21
 
7.8%
T 12
 
4.5%
K 11
 
4.1%
e 11
 
4.1%
G 11
 
4.1%
C 10
 
3.7%
E 7
 
2.6%
I 6
 
2.2%
Other values (25) 70
26.0%
Common
ValueCountFrequency (%)
35119
36.5%
1 11451
 
11.9%
- 9197
 
9.6%
2 6927
 
7.2%
3 5500
 
5.7%
4 5052
 
5.2%
5 4463
 
4.6%
0 3764
 
3.9%
6 3464
 
3.6%
7 3446
 
3.6%
Other values (15) 7851
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 140289
59.2%
ASCII 96501
40.8%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35119
36.4%
1 11451
 
11.9%
- 9197
 
9.5%
2 6927
 
7.2%
3 5500
 
5.7%
4 5052
 
5.2%
5 4463
 
4.6%
0 3764
 
3.9%
6 3464
 
3.6%
7 3446
 
3.6%
Other values (49) 8118
 
8.4%
Hangul
ValueCountFrequency (%)
12111
 
8.6%
11957
 
8.5%
10804
 
7.7%
10341
 
7.4%
10142
 
7.2%
10005
 
7.1%
9566
 
6.8%
8789
 
6.3%
8129
 
5.8%
2401
 
1.7%
Other values (429) 46044
32.8%
Number Forms
ValueCountFrequency (%)
2
100.0%
Distinct9596
Distinct (%)96.8%
Missing83
Missing (%)0.8%
Memory size156.2 KiB
2024-04-20T21:20:15.132631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length58
Mean length30.194615
Min length19

Characters and Unicode

Total characters299440
Distinct characters536
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9319 ?
Unique (%)94.0%

Sample

1st row부산광역시 동래구 온천장로119번가길 8 (온천동)
2nd row부산광역시 사하구 낙동대로563번안길 68 (하단동)
3rd row부산광역시 해운대구 해운대로 428, 지하119호 (우동, 동부올림픽타운상가동)
4th row부산광역시 동래구 금강로 90 (온천동)
5th row부산광역시 부산진구 연수로 27 (양정동)
ValueCountFrequency (%)
부산광역시 9917
 
17.1%
1층 2536
 
4.4%
해운대구 1519
 
2.6%
부산진구 1093
 
1.9%
금정구 982
 
1.7%
사하구 964
 
1.7%
남구 784
 
1.4%
기장군 772
 
1.3%
동래구 736
 
1.3%
연제구 657
 
1.1%
Other values (6513) 38061
65.6%
2024-04-20T21:20:17.489871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48135
 
16.1%
1 13441
 
4.5%
12416
 
4.1%
12158
 
4.1%
12131
 
4.1%
10622
 
3.5%
10415
 
3.5%
9935
 
3.3%
9695
 
3.2%
) 9572
 
3.2%
Other values (526) 150920
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174962
58.4%
Space Separator 48135
 
16.1%
Decimal Number 47922
 
16.0%
Close Punctuation 9575
 
3.2%
Open Punctuation 9573
 
3.2%
Other Punctuation 6834
 
2.3%
Dash Punctuation 1914
 
0.6%
Uppercase Letter 401
 
0.1%
Math Symbol 84
 
< 0.1%
Lowercase Letter 38
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12416
 
7.1%
12158
 
6.9%
12131
 
6.9%
10622
 
6.1%
10415
 
6.0%
9935
 
5.7%
9695
 
5.5%
9505
 
5.4%
5363
 
3.1%
5002
 
2.9%
Other values (464) 77720
44.4%
Uppercase Letter
ValueCountFrequency (%)
B 120
29.9%
A 98
24.4%
S 30
 
7.5%
C 28
 
7.0%
G 15
 
3.7%
K 15
 
3.7%
E 12
 
3.0%
T 12
 
3.0%
D 11
 
2.7%
I 9
 
2.2%
Other values (12) 51
12.7%
Lowercase Letter
ValueCountFrequency (%)
e 18
47.4%
l 4
 
10.5%
a 4
 
10.5%
s 2
 
5.3%
n 2
 
5.3%
i 2
 
5.3%
k 1
 
2.6%
z 1
 
2.6%
w 1
 
2.6%
o 1
 
2.6%
Other values (2) 2
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 13441
28.0%
2 7091
14.8%
3 4891
 
10.2%
0 3949
 
8.2%
4 3804
 
7.9%
5 3499
 
7.3%
6 3263
 
6.8%
7 2818
 
5.9%
8 2641
 
5.5%
9 2525
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 6776
99.2%
. 33
 
0.5%
@ 9
 
0.1%
· 6
 
0.1%
/ 5
 
0.1%
* 2
 
< 0.1%
& 2
 
< 0.1%
: 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 82
97.6%
< 1
 
1.2%
= 1
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 9572
> 99.9%
] 3
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 9570
> 99.9%
[ 3
 
< 0.1%
Space Separator
ValueCountFrequency (%)
48135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1914
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174962
58.4%
Common 124037
41.4%
Latin 441
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12416
 
7.1%
12158
 
6.9%
12131
 
6.9%
10622
 
6.1%
10415
 
6.0%
9935
 
5.7%
9695
 
5.5%
9505
 
5.4%
5363
 
3.1%
5002
 
2.9%
Other values (464) 77720
44.4%
Latin
ValueCountFrequency (%)
B 120
27.2%
A 98
22.2%
S 30
 
6.8%
C 28
 
6.3%
e 18
 
4.1%
G 15
 
3.4%
K 15
 
3.4%
E 12
 
2.7%
T 12
 
2.7%
D 11
 
2.5%
Other values (25) 82
18.6%
Common
ValueCountFrequency (%)
48135
38.8%
1 13441
 
10.8%
) 9572
 
7.7%
( 9570
 
7.7%
2 7091
 
5.7%
, 6776
 
5.5%
3 4891
 
3.9%
0 3949
 
3.2%
4 3804
 
3.1%
5 3499
 
2.8%
Other values (17) 13309
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174962
58.4%
ASCII 124470
41.6%
None 6
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48135
38.7%
1 13441
 
10.8%
) 9572
 
7.7%
( 9570
 
7.7%
2 7091
 
5.7%
, 6776
 
5.4%
3 4891
 
3.9%
0 3949
 
3.2%
4 3804
 
3.1%
5 3499
 
2.8%
Other values (50) 13742
 
11.0%
Hangul
ValueCountFrequency (%)
12416
 
7.1%
12158
 
6.9%
12131
 
6.9%
10622
 
6.1%
10415
 
6.0%
9935
 
5.7%
9695
 
5.5%
9505
 
5.4%
5363
 
3.1%
5002
 
2.9%
Other values (464) 77720
44.4%
None
ValueCountFrequency (%)
· 6
100.0%
Number Forms
ValueCountFrequency (%)
2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1560
Distinct (%)15.8%
Missing128
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean47656.944
Minimum46002
Maximum49527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:20:17.824689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46061
Q146759
median47741
Q348307
95-th percentile49406.45
Maximum49527
Range3525
Interquartile range (IQR)1548

Descriptive statistics

Standard deviation1010.8211
Coefficient of variation (CV)0.021210363
Kurtosis-0.95214397
Mean47656.944
Median Absolute Deviation (MAD)753
Skewness0.021208324
Sum4.7046935 × 108
Variance1021759.3
MonotonicityNot monotonic
2024-04-20T21:20:18.081560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 92
 
0.9%
48512 79
 
0.8%
48095 78
 
0.8%
48079 60
 
0.6%
48111 56
 
0.6%
48106 55
 
0.5%
48059 53
 
0.5%
48094 52
 
0.5%
46061 52
 
0.5%
47736 49
 
0.5%
Other values (1550) 9246
92.5%
(Missing) 128
 
1.3%
ValueCountFrequency (%)
46002 2
 
< 0.1%
46003 5
 
0.1%
46004 7
 
0.1%
46005 1
 
< 0.1%
46006 1
 
< 0.1%
46007 6
 
0.1%
46008 43
0.4%
46009 1
 
< 0.1%
46010 1
 
< 0.1%
46012 6
 
0.1%
ValueCountFrequency (%)
49527 6
 
0.1%
49526 1
 
< 0.1%
49525 5
 
0.1%
49524 13
 
0.1%
49523 5
 
0.1%
49522 9
 
0.1%
49521 47
0.5%
49520 6
 
0.1%
49519 2
 
< 0.1%
49518 4
 
< 0.1%
Distinct9161
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-20T21:20:19.061693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length6.0195
Min length1

Characters and Unicode

Total characters60195
Distinct characters1113
Distinct categories13 ?
Distinct scripts5 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8630 ?
Unique (%)86.3%

Sample

1st row원산밀면
2nd row물고기횟집
3rd row동부식당
4th row처갓집양념치킨
5th row시소식당
ValueCountFrequency (%)
해운대점 28
 
0.2%
부산대점 25
 
0.2%
정관점 20
 
0.2%
연산점 19
 
0.2%
떡볶이 18
 
0.1%
김밥천국 18
 
0.1%
식당 17
 
0.1%
교촌치킨 17
 
0.1%
옛날통닭 16
 
0.1%
칼국수 16
 
0.1%
Other values (9703) 12098
98.4%
2024-04-20T21:20:20.423078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2296
 
3.8%
1546
 
2.6%
1187
 
2.0%
943
 
1.6%
776
 
1.3%
760
 
1.3%
753
 
1.3%
) 722
 
1.2%
( 722
 
1.2%
711
 
1.2%
Other values (1103) 49779
82.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52965
88.0%
Space Separator 2296
 
3.8%
Lowercase Letter 1163
 
1.9%
Uppercase Letter 1146
 
1.9%
Decimal Number 920
 
1.5%
Close Punctuation 724
 
1.2%
Open Punctuation 724
 
1.2%
Other Punctuation 230
 
0.4%
Dash Punctuation 17
 
< 0.1%
Math Symbol 4
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1546
 
2.9%
1187
 
2.2%
943
 
1.8%
776
 
1.5%
760
 
1.4%
753
 
1.4%
711
 
1.3%
708
 
1.3%
671
 
1.3%
651
 
1.2%
Other values (1018) 44259
83.6%
Uppercase Letter
ValueCountFrequency (%)
A 92
 
8.0%
B 89
 
7.8%
C 88
 
7.7%
O 80
 
7.0%
T 70
 
6.1%
E 67
 
5.8%
H 63
 
5.5%
N 58
 
5.1%
M 54
 
4.7%
I 51
 
4.5%
Other values (16) 434
37.9%
Lowercase Letter
ValueCountFrequency (%)
e 153
13.2%
a 115
 
9.9%
o 113
 
9.7%
i 91
 
7.8%
n 82
 
7.1%
r 62
 
5.3%
s 59
 
5.1%
t 59
 
5.1%
l 57
 
4.9%
h 56
 
4.8%
Other values (15) 316
27.2%
Other Punctuation
ValueCountFrequency (%)
& 104
45.2%
. 53
23.0%
, 26
 
11.3%
' 16
 
7.0%
· 10
 
4.3%
! 9
 
3.9%
# 4
 
1.7%
? 3
 
1.3%
1
 
0.4%
@ 1
 
0.4%
Other values (3) 3
 
1.3%
Decimal Number
ValueCountFrequency (%)
1 179
19.5%
2 147
16.0%
0 147
16.0%
3 93
10.1%
9 75
8.2%
7 71
 
7.7%
4 58
 
6.3%
5 57
 
6.2%
6 51
 
5.5%
8 42
 
4.6%
Close Punctuation
ValueCountFrequency (%)
) 722
99.7%
] 2
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 722
99.7%
[ 2
 
0.3%
Letter Number
ValueCountFrequency (%)
2
66.7%
1
33.3%
Space Separator
ValueCountFrequency (%)
2296
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52901
87.9%
Common 4918
 
8.2%
Latin 2312
 
3.8%
Han 62
 
0.1%
Hiragana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1546
 
2.9%
1187
 
2.2%
943
 
1.8%
776
 
1.5%
760
 
1.4%
753
 
1.4%
711
 
1.3%
708
 
1.3%
671
 
1.3%
651
 
1.2%
Other values (965) 44195
83.5%
Latin
ValueCountFrequency (%)
e 153
 
6.6%
a 115
 
5.0%
o 113
 
4.9%
A 92
 
4.0%
i 91
 
3.9%
B 89
 
3.8%
C 88
 
3.8%
n 82
 
3.5%
O 80
 
3.5%
T 70
 
3.0%
Other values (43) 1339
57.9%
Han
ValueCountFrequency (%)
7
 
11.3%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
2
 
3.2%
1
 
1.6%
1
 
1.6%
1
 
1.6%
1
 
1.6%
Other values (41) 41
66.1%
Common
ValueCountFrequency (%)
2296
46.7%
) 722
 
14.7%
( 722
 
14.7%
1 179
 
3.6%
2 147
 
3.0%
0 147
 
3.0%
& 104
 
2.1%
3 93
 
1.9%
9 75
 
1.5%
7 71
 
1.4%
Other values (22) 362
 
7.4%
Hiragana
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52898
87.9%
ASCII 7214
 
12.0%
CJK 61
 
0.1%
None 11
 
< 0.1%
Number Forms 3
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
Hiragana 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2296
31.8%
) 722
 
10.0%
( 722
 
10.0%
1 179
 
2.5%
e 153
 
2.1%
2 147
 
2.0%
0 147
 
2.0%
a 115
 
1.6%
o 113
 
1.6%
& 104
 
1.4%
Other values (70) 2516
34.9%
Hangul
ValueCountFrequency (%)
1546
 
2.9%
1187
 
2.2%
943
 
1.8%
776
 
1.5%
760
 
1.4%
753
 
1.4%
711
 
1.3%
708
 
1.3%
671
 
1.3%
651
 
1.2%
Other values (962) 44192
83.5%
None
ValueCountFrequency (%)
· 10
90.9%
1
 
9.1%
CJK
ValueCountFrequency (%)
7
 
11.5%
2
 
3.3%
2
 
3.3%
2
 
3.3%
2
 
3.3%
2
 
3.3%
1
 
1.6%
1
 
1.6%
1
 
1.6%
1
 
1.6%
Other values (40) 40
65.6%
Number Forms
ValueCountFrequency (%)
2
66.7%
1
33.3%
Letterlike Symbols
ValueCountFrequency (%)
2
100.0%
Compat Jamo
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Hiragana
ValueCountFrequency (%)
1
50.0%
1
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%

최종수정시점
Real number (ℝ)

Distinct9961
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0175096 × 1013
Minimum1.9990315 × 1013
Maximum2.021013 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:20:20.841415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990315 × 1013
5-th percentile2.0111114 × 1013
Q12.0161216 × 1013
median2.0190129 × 1013
Q32.0200323 × 1013
95-th percentile2.0210112 × 1013
Maximum2.021013 × 1013
Range2.1981521 × 1011
Interquartile range (IQR)3.9107239 × 1010

Descriptive statistics

Standard deviation3.3313681 × 1010
Coefficient of variation (CV)0.0016512279
Kurtosis4.6434148
Mean2.0175096 × 1013
Median Absolute Deviation (MAD)1.0684014 × 1010
Skewness-1.9331236
Sum2.0175096 × 1017
Variance1.1098014 × 1021
MonotonicityNot monotonic
2024-04-20T21:20:21.273761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040604000000 7
 
0.1%
20050603000000 6
 
0.1%
20020225000000 5
 
0.1%
20050110000000 4
 
< 0.1%
20020513000000 2
 
< 0.1%
20020515000000 2
 
< 0.1%
20050608000000 2
 
< 0.1%
20040817000000 2
 
< 0.1%
20040610000000 2
 
< 0.1%
20050531000000 2
 
< 0.1%
Other values (9951) 9966
99.7%
ValueCountFrequency (%)
19990315000000 1
< 0.1%
19990317000000 2
< 0.1%
19990319000000 1
< 0.1%
19990503000000 1
< 0.1%
19990507000000 1
< 0.1%
19990614000000 1
< 0.1%
20000921000000 1
< 0.1%
20001130000000 1
< 0.1%
20010129000000 1
< 0.1%
20010302000000 1
< 0.1%
ValueCountFrequency (%)
20210130205058 1
< 0.1%
20210130174444 1
< 0.1%
20210129165839 1
< 0.1%
20210129165759 1
< 0.1%
20210129165729 1
< 0.1%
20210129165708 1
< 0.1%
20210129165639 1
< 0.1%
20210129165622 1
< 0.1%
20210129165309 1
< 0.1%
20210129165238 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
U
5258 
I
4742 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 5258
52.6%
I 4742
47.4%

Length

2024-04-20T21:20:21.680490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:20:21.932475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 5258
52.6%
i 4742
47.4%
Distinct758
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-02-02 02:40:00
2024-04-20T21:20:22.120184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T21:20:22.365743image/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
4050 
기타
968 
호프/통닭
934 
경양식
748 
분식
729 
Other values (24)
2571 

Length

Max length15
Median length2
Mean length3.2738
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row분식
2nd row호프/통닭
3rd row한식
4th row한식
5th row호프/통닭

Common Values

ValueCountFrequency (%)
한식 4050
40.5%
기타 968
 
9.7%
호프/통닭 934
 
9.3%
경양식 748
 
7.5%
분식 729
 
7.3%
식육(숯불구이) 649
 
6.5%
중국식 329
 
3.3%
통닭(치킨) 313
 
3.1%
회집 283
 
2.8%
정종/대포집/소주방 250
 
2.5%
Other values (19) 747
 
7.5%

Length

2024-04-20T21:20:22.664461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4050
40.5%
기타 968
 
9.7%
호프/통닭 934
 
9.3%
경양식 748
 
7.5%
분식 729
 
7.3%
식육(숯불구이 649
 
6.5%
중국식 329
 
3.3%
통닭(치킨 313
 
3.1%
회집 283
 
2.8%
정종/대포집/소주방 250
 
2.5%
Other values (19) 747
 
7.5%

좌표정보(x)
Real number (ℝ)

Distinct8402
Distinct (%)84.4%
Missing42
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean389311.27
Minimum365635.24
Maximum407758.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:20:23.130937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum365635.24
5-th percentile379230.02
Q1385086.97
median389676.66
Q3392860.52
95-th percentile401304.79
Maximum407758.06
Range42122.817
Interquartile range (IQR)7773.5509

Descriptive statistics

Standard deviation6482.9832
Coefficient of variation (CV)0.016652442
Kurtosis0.090509768
Mean389311.27
Median Absolute Deviation (MAD)3844.6156
Skewness-0.0053035012
Sum3.8767616 × 109
Variance42029071
MonotonicityNot monotonic
2024-04-20T21:20:23.365236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
395560.220499924 16
 
0.2%
401669.0 15
 
0.1%
395388.715069604 12
 
0.1%
393605.930358633 12
 
0.1%
387271.299492377 11
 
0.1%
398330.516530402 11
 
0.1%
379212.079721725 11
 
0.1%
398628.503470003 10
 
0.1%
387608.014165034 9
 
0.1%
401565.273951069 9
 
0.1%
Other values (8392) 9842
98.4%
(Missing) 42
 
0.4%
ValueCountFrequency (%)
365635.243564523 1
< 0.1%
365640.503678325 2
< 0.1%
366790.206783649 1
< 0.1%
366854.076165373 1
< 0.1%
366868.429229268 1
< 0.1%
366932.944608323 2
< 0.1%
366933.279981515 1
< 0.1%
366982.00333594 1
< 0.1%
367006.793717122 1
< 0.1%
367008.391899012 1
< 0.1%
ValueCountFrequency (%)
407758.060538306 1
< 0.1%
407739.046710947 1
< 0.1%
407728.857634172 1
< 0.1%
407693.240178135 1
< 0.1%
407684.387340404 1
< 0.1%
407581.265861236 1
< 0.1%
407569.558247412 1
< 0.1%
407556.4753504 2
< 0.1%
407537.584189709 1
< 0.1%
407533.008853 1
< 0.1%

좌표정보(y)
Real number (ℝ)

Distinct8402
Distinct (%)84.4%
Missing42
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean188171.88
Minimum169653.23
Maximum211537.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:20:23.609567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169653.23
5-th percentile178709.91
Q1184133.71
median187724.91
Q3191794.69
95-th percentile198488.38
Maximum211537.27
Range41884.042
Interquartile range (IQR)7660.9803

Descriptive statistics

Standard deviation6257.5452
Coefficient of variation (CV)0.033254413
Kurtosis0.50493984
Mean188171.88
Median Absolute Deviation (MAD)3789.8912
Skewness0.41888099
Sum1.8738156 × 109
Variance39156872
MonotonicityNot monotonic
2024-04-20T21:20:23.883669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186273.769084383 16
 
0.2%
190270.0 15
 
0.1%
186268.853282623 12
 
0.1%
188324.973749177 12
 
0.1%
186099.137533193 11
 
0.1%
187771.511373596 11
 
0.1%
180390.068955488 11
 
0.1%
188364.542636541 10
 
0.1%
185703.079007724 9
 
0.1%
196052.928304277 9
 
0.1%
Other values (8392) 9842
98.4%
(Missing) 42
 
0.4%
ValueCountFrequency (%)
169653.231422733 1
< 0.1%
169660.618777519 1
< 0.1%
170020.600937816 1
< 0.1%
170114.596522953 1
< 0.1%
171419.527737619 2
< 0.1%
171449.276719327 1
< 0.1%
173580.423440922 1
< 0.1%
173705.553829277 1
< 0.1%
173723.944438485 1
< 0.1%
173734.416872328 1
< 0.1%
ValueCountFrequency (%)
211537.273110377 1
< 0.1%
210276.15974164 1
< 0.1%
210274.644346605 1
< 0.1%
210251.647085189 1
< 0.1%
210249.054476596 1
< 0.1%
210212.10060411 1
< 0.1%
210191.828248229 1
< 0.1%
210176.809466012 1
< 0.1%
210134.392238701 1
< 0.1%
210122.770644004 1
< 0.1%

위생업태명
Categorical

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4047 
기타
954 
호프/통닭
926 
경양식
791 
분식
721 
Other values (24)
2561 

Length

Max length15
Median length2
Mean length3.2635
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row분식
2nd row호프/통닭
3rd row한식
4th row한식
5th row호프/통닭

Common Values

ValueCountFrequency (%)
한식 4047
40.5%
기타 954
 
9.5%
호프/통닭 926
 
9.3%
경양식 791
 
7.9%
분식 721
 
7.2%
식육(숯불구이) 642
 
6.4%
중국식 345
 
3.5%
회집 327
 
3.3%
통닭(치킨) 322
 
3.2%
정종/대포집/소주방 245
 
2.5%
Other values (19) 680
 
6.8%

Length

2024-04-20T21:20:24.214948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4047
40.5%
기타 954
 
9.5%
호프/통닭 926
 
9.3%
경양식 791
 
7.9%
분식 721
 
7.2%
식육(숯불구이 642
 
6.4%
중국식 345
 
3.5%
회집 327
 
3.3%
통닭(치킨 322
 
3.2%
정종/대포집/소주방 245
 
2.5%
Other values (19) 680
 
6.8%

남성종사자수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7
Distinct (%)0.2%
Missing6878
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean0.066623959
Minimum0
Maximum20
Zeros2970
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:20:24.581907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.46956121
Coefficient of variation (CV)7.0479332
Kurtosis1056.068
Mean0.066623959
Median Absolute Deviation (MAD)0
Skewness26.618334
Sum208
Variance0.22048773
MonotonicityNot monotonic
2024-04-20T21:20:25.021979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 2970
29.7%
1 125
 
1.2%
2 20
 
0.2%
3 4
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
20 1
 
< 0.1%
(Missing) 6878
68.8%
ValueCountFrequency (%)
0 2970
29.7%
1 125
 
1.2%
2 20
 
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 20
 
0.2%
1 125
 
1.2%
0 2970
29.7%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.3%
Missing6872
Missing (%)68.7%
Infinite0
Infinite (%)0.0%
Mean0.13203325
Minimum0
Maximum15
Zeros2892
Zeros (%)28.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:20:25.406946image/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 deviation0.6216616
Coefficient of variation (CV)4.7083717
Kurtosis160.252
Mean0.13203325
Median Absolute Deviation (MAD)0
Skewness9.8685809
Sum413
Variance0.38646315
MonotonicityNot monotonic
2024-04-20T21:20:25.776703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 2892
28.9%
1 143
 
1.4%
2 55
 
0.5%
3 23
 
0.2%
4 6
 
0.1%
5 4
 
< 0.1%
10 2
 
< 0.1%
6 2
 
< 0.1%
15 1
 
< 0.1%
(Missing) 6872
68.7%
ValueCountFrequency (%)
0 2892
28.9%
1 143
 
1.4%
2 55
 
0.5%
3 23
 
0.2%
4 6
 
0.1%
5 4
 
< 0.1%
6 2
 
< 0.1%
10 2
 
< 0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
10 2
 
< 0.1%
6 2
 
< 0.1%
5 4
 
< 0.1%
4 6
 
0.1%
3 23
 
0.2%
2 55
 
0.5%
1 143
 
1.4%
0 2892
28.9%

영업장주변구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6923 
기타
1976 
주택가주변
 
677
유흥업소밀집지역
 
193
아파트지역
 
171
Other values (3)
 
60

Length

Max length8
Median length4
Mean length3.7906
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6923
69.2%
기타 1976
 
19.8%
주택가주변 677
 
6.8%
유흥업소밀집지역 193
 
1.9%
아파트지역 171
 
1.7%
학교정화(상대) 55
 
0.5%
학교정화(절대) 3
 
< 0.1%
결혼예식장주변 2
 
< 0.1%

Length

2024-04-20T21:20:26.030411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:20:26.235309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6923
69.2%
기타 1976
 
19.8%
주택가주변 677
 
6.8%
유흥업소밀집지역 193
 
1.9%
아파트지역 171
 
1.7%
학교정화(상대 55
 
0.5%
학교정화(절대 3
 
< 0.1%
결혼예식장주변 2
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7469 
기타
1628 
자율
874 
지도
 
14
우수
 
11
Other values (2)
 
4

Length

Max length4
Median length4
Mean length3.4937
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7469
74.7%
기타 1628
 
16.3%
자율 874
 
8.7%
지도 14
 
0.1%
우수 11
 
0.1%
관리 3
 
< 0.1%
1
 
< 0.1%

Length

2024-04-20T21:20:26.473504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:20:26.793317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7469
74.7%
기타 1628
 
16.3%
자율 874
 
8.7%
지도 14
 
0.1%
우수 11
 
0.1%
관리 3
 
< 0.1%
1
 
< 0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상수도전용
6074 
<NA>
3863 
지하수전용
 
52
간이상수도
 
7
전용상수도(특정시설의 자가용 수도)
 
2

Length

Max length19
Median length5
Mean length4.6189
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 6074
60.7%
<NA> 3863
38.6%
지하수전용 52
 
0.5%
간이상수도 7
 
0.1%
전용상수도(특정시설의 자가용 수도) 2
 
< 0.1%
상수도(음용)지하수(주방용)겸용 2
 
< 0.1%

Length

2024-04-20T21:20:27.040847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:20:27.256166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 6074
60.7%
na 3863
38.6%
지하수전용 52
 
0.5%
간이상수도 7
 
0.1%
전용상수도(특정시설의 2
 
< 0.1%
자가용 2
 
< 0.1%
수도 2
 
< 0.1%
상수도(음용)지하수(주방용)겸용 2
 
< 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

2024-04-20T21:20:27.509938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:20:27.683831image/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

2024-04-20T21:20:27.888390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:20:28.064209image/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

2024-04-20T21:20:28.246112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:20:28.417272image/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

2024-04-20T21:20:28.598970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:20:28.784558image/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

2024-04-20T21:20:28.981106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:20:29.152205image/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

2024-04-20T21:20:29.332134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:20:29.503950image/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
9142 
True
 
858
ValueCountFrequency (%)
False 9142
91.4%
True 858
 
8.6%
2024-04-20T21:20:29.643651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct6145
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.237181
Minimum0
Maximum4808.49
Zeros241
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:20:29.882483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.2765
Q132.87
median57.2
Q395.95
95-th percentile238.614
Maximum4808.49
Range4808.49
Interquartile range (IQR)63.08

Descriptive statistics

Standard deviation129.77697
Coefficient of variation (CV)1.5048842
Kurtosis267.89286
Mean86.237181
Median Absolute Deviation (MAD)28.5
Skewness11.664863
Sum862371.81
Variance16842.063
MonotonicityNot monotonic
2024-04-20T21:20:30.162483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 241
 
2.4%
33.0 37
 
0.4%
30.0 37
 
0.4%
66.0 31
 
0.3%
36.0 26
 
0.3%
40.0 25
 
0.2%
49.5 25
 
0.2%
48.0 24
 
0.2%
24.0 23
 
0.2%
26.4 19
 
0.2%
Other values (6135) 9512
95.1%
ValueCountFrequency (%)
0.0 241
2.4%
2.52 1
 
< 0.1%
3.24 1
 
< 0.1%
3.68 1
 
< 0.1%
3.99 1
 
< 0.1%
4.63 1
 
< 0.1%
5.0 1
 
< 0.1%
5.4 1
 
< 0.1%
5.48 1
 
< 0.1%
5.94 2
 
< 0.1%
ValueCountFrequency (%)
4808.49 1
< 0.1%
2979.73 1
< 0.1%
2747.47 1
< 0.1%
2514.39 1
< 0.1%
2165.7 1
< 0.1%
1786.29 1
< 0.1%
1778.78 1
< 0.1%
1672.99 1
< 0.1%
1637.58 1
< 0.1%
1630.81 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
2360923610일반음식점07_24_04_P33000003300000-101-2005-0016320051025<NA>1영업/정상1영업<NA><NA><NA><NA>051 555889694.52607831부산광역시 동래구 온천동 143-23번지부산광역시 동래구 온천장로119번가길 8 (온천동)47709원산밀면20090708100822I2018-08-31 23:59:59.0분식389487.060053193365.904523분식00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N94.52<NA><NA><NA><NA>
20282029일반음식점07_24_04_P33400003340000-101-2011-0016620111214<NA>1영업/정상1영업<NA><NA><NA><NA>051 208333297.67604851부산광역시 사하구 하단동 500-69번지부산광역시 사하구 낙동대로563번안길 68 (하단동)49307물고기횟집20150908110454I2018-08-31 23:59:59.0호프/통닭378963.492438180828.300636호프/통닭<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N97.67<NA><NA><NA><NA>
37193720일반음식점07_24_04_P33300003330000-101-2016-0006220160226<NA>1영업/정상1영업<NA><NA><NA><NA><NA>55.21612825부산광역시 해운대구 우동 1008-5번지부산광역시 해운대구 해운대로 428, 지하119호 (우동, 동부올림픽타운상가동)48089동부식당20160404154519I2018-08-31 23:59:59.0한식394894.708833187324.866715한식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N55.21<NA><NA><NA><NA>
1832818329일반음식점07_24_04_P33000003300000-101-2015-0022620151020<NA>1영업/정상1영업<NA><NA><NA><NA>051 556923375.95607833부산광역시 동래구 온천동 191-5번지부산광역시 동래구 금강로 90 (온천동)47712처갓집양념치킨20200609111656U2020-06-11 02:40:00.0한식389203.454409192841.965813한식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N75.95<NA><NA><NA><NA>
1307913080일반음식점07_24_04_P32900003290000-101-1992-0214019920224<NA>1영업/정상1영업<NA><NA><NA><NA>051 852354020.93614854부산광역시 부산진구 양정동 271-51번지부산광역시 부산진구 연수로 27 (양정동)47216시소식당20170105165517I2018-08-31 23:59:59.0호프/통닭388880.695665188086.305649호프/통닭00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N20.93<NA><NA><NA><NA>
58045805일반음식점07_24_04_P33800003380000-101-2019-0003520190311<NA>1영업/정상1영업<NA><NA><NA><NA><NA>37.96613822부산광역시 수영구 망미동 430-20번지부산광역시 수영구 망미배산로10번길 14, 1층 (망미동)48210코카모메20190311132538I2019-03-13 02:21:48.0일식391879.265066188193.098022일식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N37.96<NA><NA><NA><NA>
1042910430일반음식점07_24_04_P33000003300000-101-2008-0001320080121<NA>1영업/정상1영업<NA><NA><NA><NA>051 552 573741.41607804부산광역시 동래구 명륜동 555-2번지 (2층)부산광역시 동래구 충렬대로181번길 64 (명륜동,(2층))47735봉봉숯불생고기220181120144741U2018-11-22 02:37:24.0기타389347.258344191694.483315기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N41.41<NA><NA><NA><NA>
1856218563일반음식점07_24_04_P33300003330000-101-1997-0435619970704<NA>1영업/정상1영업<NA><NA><NA><NA>051 701659419.24612837부산광역시 해운대구 좌동 1286번지부산광역시 해운대구 대천로103번길 9 (좌동, 대림아파트상가동지하4호)48078지코바숯불치킨20111124123626I2018-08-31 23:59:59.0이동조리397891.719206188402.769138이동조리00아파트지역기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N19.24<NA><NA><NA><NA>
2288322884일반음식점07_24_04_P33900003390000-101-2013-0000820130115<NA>1영업/정상1영업<NA><NA><NA><NA>051 311 717752.78617805부산광역시 사상구 감전동 953-11번지부산광역시 사상구 장인로37번길 15 (감전동)47028부산식당20140418114745I2018-08-31 23:59:59.0한식379767.65821184591.900291한식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N52.78<NA><NA><NA><NA>
1583015831일반음식점07_24_04_P33300003330000-101-2007-0035620071119<NA>1영업/정상1영업<NA><NA><NA><NA><NA>36.30612811부산광역시 해운대구 반여동 1459-9번지부산광역시 해운대구 선수촌로 86-7 (반여동)48037반여연골찜20170104105739I2018-08-31 23:59:59.0한식392960.955286191202.914479한식<NA><NA>기타자율<NA><NA><NA><NA><NA><NA><NA><NA><NA>N36.3<NA><NA><NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
80508051일반음식점07_24_04_P33500003350000-101-2014-0013720140820<NA>1영업/정상1영업<NA><NA><NA><NA>051 517922233.70609816부산광역시 금정구 남산동 988-16번지부산광역시 금정구 금강로647번길 40 (남산동)46223오이시생라멘20190515152052U2019-05-17 02:40:00.0일식389791.855701198242.282523일식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N33.7<NA><NA><NA><NA>
42774278일반음식점07_24_04_P33300003330000-101-2011-0018420110705<NA>1영업/정상1영업<NA><NA><NA><NA>051 742 9092156.26612821부산광역시 해운대구 우동 1324번지부산광역시 해운대구 구남로30번길 6, 1, 2층 (우동)48094부산통닭20191030174711U2019-11-01 02:40:00.0통닭(치킨)396765.95933186824.858154통닭(치킨)<NA><NA>유흥업소밀집지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y156.26<NA><NA><NA><NA>
26622663일반음식점07_24_04_P33300003330000-101-2015-0023020150804<NA>1영업/정상1영업<NA><NA><NA><NA><NA>41.14612837부산광역시 해운대구 좌동 1295-6번지 1층 일부부산광역시 해운대구 대천로 116-1 (좌동, 1층 일부)48079류길상피자20150911142740I2018-08-31 23:59:59.0분식398075.199709188337.090292분식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N41.14<NA><NA><NA><NA>
49484949일반음식점07_24_04_P34000003400000-101-2012-0016220121116<NA>1영업/정상1영업<NA><NA><NA><NA>051 727 677052.80619913부산광역시 기장군 일광면 이천리 398번지부산광역시 기장군 일광면 이천3길 3, 1층46042윤가네손칼국수20190123142407U2019-01-25 02:40:00.0한식398281.532293204367.41514한식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N42.14<NA><NA><NA><NA>
77657766일반음식점07_24_04_P33300003330000-101-2005-0020720050722<NA>1영업/정상1영업<NA><NA><NA><NA>051 7013296164.65612836부산광역시 해운대구 좌동 1465-2부산광역시 해운대구 세실로69번길 9 (좌동, 302호)48106허리케인7080라이브20201109173010U2020-11-11 02:40:00.0경양식398194.35496187937.222328경양식00유흥업소밀집지역자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N164.65<NA><NA><NA><NA>
1961019611일반음식점07_24_04_P33400003340000-101-2019-0023820191209<NA>1영업/정상1영업<NA><NA><NA><NA>051 203 861732.60604830부산광역시 사하구 당리동 328-1번지 화인아파트부산광역시 사하구 괴정로 84, 상가동 101호 (당리동, 화인아파트)49412왔따네푸드20200204144017U2020-02-06 02:40:00.0기타379842.273024179838.513186기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N32.6<NA><NA><NA><NA>
1579315794일반음식점07_24_04_P33100003310000-101-2001-0294520010129<NA>1영업/정상1영업<NA><NA><NA><NA>051 6119848123.40608833부산광역시 남구 용호동 406-44번지부산광역시 남구 동명로131번길 23 (용호동)48527정가네삼계탕20190813113251U2019-08-15 02:40:00.0한식392386.148102182246.50658한식00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N123.4<NA><NA><NA><NA>
2112321124일반음식점07_24_04_P33400003340000-101-1991-0117719910429<NA>1영업/정상1영업<NA><NA><NA><NA>05116.38604811부산광역시 사하구 괴정동 1011-1번지 31,33부산광역시 사하구 사하로 202-4 (괴정동,31,33)49355한샘식당20110707105105I2018-08-31 23:59:59.0한식381757.002646179689.597744한식00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N16.38<NA><NA><NA><NA>
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98749875일반음식점07_24_04_P32700003270000-101-2013-0004820130911<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>601811부산광역시 동구 범일동 1492-168번지부산광역시 동구 범내로 7-1 (범일동)48719티바두마리치킨20180212104054I2018-08-31 23:59:59.0호프/통닭386906.655833184474.006614호프/통닭<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA><NA>