Overview

Dataset statistics

Number of variables48
Number of observations10000
Missing cells128014
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

Description2021-02-01
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 (55.3%)Imbalance
등급구분명 is highly imbalanced (58.2%)Imbalance
급수시설구분명 is highly imbalanced (60.6%)Imbalance
본사종업원수 is highly imbalanced (99.9%)Imbalance
공장사무직종업원수 is highly imbalanced (99.9%)Imbalance
공장판매직종업원수 is highly imbalanced (99.9%)Imbalance
공장생산직종업원수 is highly imbalanced (99.9%)Imbalance
보증액 is highly imbalanced (99.9%)Imbalance
월세액 is highly imbalanced (99.9%)Imbalance
다중이용업소여부 is highly imbalanced (57.3%)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 3568 (35.7%) missing valuesMissing
소재지면적 has 153 (1.5%) missing valuesMissing
소재지우편번호 has 243 (2.4%) missing valuesMissing
도로명우편번호 has 127 (1.3%) missing valuesMissing
남성종사자수 has 6876 (68.8%) missing valuesMissing
여성종사자수 has 6878 (68.8%) 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
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 2962 (29.6%) zerosZeros
여성종사자수 has 2898 (29.0%) zerosZeros
시설총규모 has 235 (2.4%) zerosZeros

Reproduction

Analysis started2024-04-20 12:26:20.297043
Analysis finished2024-04-20 12:26:24.465501
Duration4.17 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%
Mean12063.998
Minimum1
Maximum24143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:26:24.664778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1184.75
Q16009.5
median12029
Q318123.25
95-th percentile22961.1
Maximum24143
Range24142
Interquartile range (IQR)12113.75

Descriptive statistics

Standard deviation6996.3138
Coefficient of variation (CV)0.57993328
Kurtosis-1.2062467
Mean12063.998
Median Absolute Deviation (MAD)6069.5
Skewness0.0056031842
Sum1.2063998 × 108
Variance48948407
MonotonicityNot monotonic
2024-04-20T21:26:25.236380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14138 1
 
< 0.1%
1173 1
 
< 0.1%
5720 1
 
< 0.1%
1937 1
 
< 0.1%
23479 1
 
< 0.1%
15043 1
 
< 0.1%
16910 1
 
< 0.1%
7295 1
 
< 0.1%
10677 1
 
< 0.1%
5119 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
6 1
< 0.1%
8 1
< 0.1%
10 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
15 1
< 0.1%
16 1
< 0.1%
17 1
< 0.1%
20 1
< 0.1%
ValueCountFrequency (%)
24143 1
< 0.1%
24141 1
< 0.1%
24139 1
< 0.1%
24137 1
< 0.1%
24135 1
< 0.1%
24134 1
< 0.1%
24133 1
< 0.1%
24129 1
< 0.1%
24128 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

2024-04-20T21:26:25.739291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:26:26.027973image/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

2024-04-20T21:26:26.295726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:26:26.565764image/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%
Mean3333205
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:26:26.775004image/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 deviation38069.974
Coefficient of variation (CV)0.011421432
Kurtosis-0.60553169
Mean3333205
Median Absolute Deviation (MAD)30000
Skewness-0.015356805
Sum3.333205 × 1010
Variance1.4493229 × 109
MonotonicityNot monotonic
2024-04-20T21:26:27.004808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3330000 1580
15.8%
3290000 1124
11.2%
3340000 1000
10.0%
3350000 976
9.8%
3310000 803
8.0%
3400000 750
7.5%
3300000 711
7.1%
3370000 628
 
6.3%
3380000 518
 
5.2%
3320000 505
 
5.1%
Other values (6) 1405
14.1%
ValueCountFrequency (%)
3250000 323
 
3.2%
3260000 30
 
0.3%
3270000 318
 
3.2%
3280000 31
 
0.3%
3290000 1124
11.2%
3300000 711
7.1%
3310000 803
8.0%
3320000 505
 
5.1%
3330000 1580
15.8%
3340000 1000
10.0%
ValueCountFrequency (%)
3400000 750
7.5%
3390000 463
 
4.6%
3380000 518
 
5.2%
3370000 628
 
6.3%
3360000 240
 
2.4%
3350000 976
9.8%
3340000 1000
10.0%
3330000 1580
15.8%
3320000 505
 
5.1%
3310000 803
8.0%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-20T21:26:27.670353image/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 row3310000-101-2002-03494
2nd row3400000-101-2017-00028
3rd row3370000-101-2002-03899
4th row3360000-101-2017-00127
5th row3300000-101-2014-00127
ValueCountFrequency (%)
3310000-101-2002-03494 1
 
< 0.1%
3340000-101-2000-04328 1
 
< 0.1%
3330000-101-2006-00200 1
 
< 0.1%
3350000-101-1990-02544 1
 
< 0.1%
3340000-101-2015-00151 1
 
< 0.1%
3340000-101-2011-00106 1
 
< 0.1%
3390000-101-2016-00011 1
 
< 0.1%
3340000-101-2003-00007 1
 
< 0.1%
3300000-101-2015-00096 1
 
< 0.1%
3400000-101-2014-00186 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-20T21:26:28.632606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 87474
39.8%
1 34606
 
15.7%
- 30000
 
13.6%
3 22922
 
10.4%
2 15261
 
6.9%
9 8068
 
3.7%
4 5432
 
2.5%
5 4527
 
2.1%
7 4298
 
2.0%
8 3999
 
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 87474
46.0%
1 34606
 
18.2%
3 22922
 
12.1%
2 15261
 
8.0%
9 8068
 
4.2%
4 5432
 
2.9%
5 4527
 
2.4%
7 4298
 
2.3%
8 3999
 
2.1%
6 3413
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 30000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 87474
39.8%
1 34606
 
15.7%
- 30000
 
13.6%
3 22922
 
10.4%
2 15261
 
6.9%
9 8068
 
3.7%
4 5432
 
2.5%
5 4527
 
2.1%
7 4298
 
2.0%
8 3999
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 87474
39.8%
1 34606
 
15.7%
- 30000
 
13.6%
3 22922
 
10.4%
2 15261
 
6.9%
9 8068
 
3.7%
4 5432
 
2.5%
5 4527
 
2.1%
7 4298
 
2.0%
8 3999
 
1.8%

인허가일자
Real number (ℝ)

Distinct4874
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20092273
Minimum19680212
Maximum20200803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:26:29.083509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19680212
5-th percentile19910924
Q120031012
median20120308
Q320170310
95-th percentile20190813
Maximum20200803
Range520591
Interquartile range (IQR)139298.5

Descriptive statistics

Standard deviation91261.268
Coefficient of variation (CV)0.0045421076
Kurtosis0.7910373
Mean20092273
Median Absolute Deviation (MAD)59796
Skewness-1.0728971
Sum2.0092273 × 1011
Variance8.328619 × 109
MonotonicityNot monotonic
2024-04-20T21:26:29.539957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190312 13
 
0.1%
20191113 12
 
0.1%
20190305 12
 
0.1%
20180426 12
 
0.1%
20190418 11
 
0.1%
20190315 11
 
0.1%
20190813 11
 
0.1%
20190605 11
 
0.1%
20191015 10
 
0.1%
20190325 10
 
0.1%
Other values (4864) 9887
98.9%
ValueCountFrequency (%)
19680212 1
 
< 0.1%
19690814 3
< 0.1%
19700627 1
 
< 0.1%
19700925 1
 
< 0.1%
19701023 1
 
< 0.1%
19710210 1
 
< 0.1%
19710401 1
 
< 0.1%
19710719 1
 
< 0.1%
19720414 1
 
< 0.1%
19720624 1
 
< 0.1%
ValueCountFrequency (%)
20200803 6
0.1%
20200107 3
 
< 0.1%
20200106 4
< 0.1%
20191231 7
0.1%
20191230 1
 
< 0.1%
20191227 1
 
< 0.1%
20191224 8
0.1%
20191220 6
0.1%
20191219 7
0.1%
20191218 7
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

2024-04-20T21:26:29.953751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:26:30.243024image/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

2024-04-20T21:26:30.550734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:26:30.839392image/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

2024-04-20T21:26:31.088956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:26:31.434097image/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

2024-04-20T21:26:31.739384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:26:32.024819image/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 

Distinct6234
Distinct (%)96.9%
Missing3568
Missing (%)35.7%
Memory size156.2 KiB
2024-04-20T21:26:33.374287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.291511
Min length1

Characters and Unicode

Total characters72627
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

Unique6203 ?
Unique (%)96.4%

Sample

1st row051 623 9965
2nd row051 722 7257
3rd row051 5035787
4th row051 7461471
5th row051 333 6655
ValueCountFrequency (%)
051 6056
38.1%
727 122
 
0.8%
728 91
 
0.6%
070 81
 
0.5%
724 64
 
0.4%
722 60
 
0.4%
723 53
 
0.3%
868 46
 
0.3%
721 43
 
0.3%
747 41
 
0.3%
Other values (5677) 9229
58.1%
2024-04-20T21:26:34.972366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 11143
15.3%
0 10680
14.7%
1 10176
14.0%
9493
13.1%
2 5964
8.2%
7 5045
6.9%
8 4556
6.3%
3 4415
 
6.1%
6 4127
 
5.7%
9 3519
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63134
86.9%
Space Separator 9493
 
13.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 11143
17.6%
0 10680
16.9%
1 10176
16.1%
2 5964
9.4%
7 5045
8.0%
8 4556
7.2%
3 4415
 
7.0%
6 4127
 
6.5%
9 3519
 
5.6%
4 3509
 
5.6%
Space Separator
ValueCountFrequency (%)
9493
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 72627
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 11143
15.3%
0 10680
14.7%
1 10176
14.0%
9493
13.1%
2 5964
8.2%
7 5045
6.9%
8 4556
6.3%
3 4415
 
6.1%
6 4127
 
5.7%
9 3519
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72627
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 11143
15.3%
0 10680
14.7%
1 10176
14.0%
9493
13.1%
2 5964
8.2%
7 5045
6.9%
8 4556
6.3%
3 4415
 
6.1%
6 4127
 
5.7%
9 3519
 
4.8%

소재지면적
Text

MISSING 

Distinct6279
Distinct (%)63.8%
Missing153
Missing (%)1.5%
Memory size156.2 KiB
2024-04-20T21:26:36.519742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.2319488
Min length3

Characters and Unicode

Total characters51519
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

Unique4546 ?
Unique (%)46.2%

Sample

1st row17.50
2nd row63.27
3rd row69.95
4th row139.92
5th row64.00
ValueCountFrequency (%)
33.00 42
 
0.4%
30.00 31
 
0.3%
66.00 29
 
0.3%
00 26
 
0.3%
24.00 25
 
0.3%
36.00 23
 
0.2%
42.00 21
 
0.2%
40.00 21
 
0.2%
49.50 21
 
0.2%
20.00 20
 
0.2%
Other values (6269) 9588
97.4%
2024-04-20T21:26:38.476748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 9847
19.1%
0 6471
12.6%
1 5063
9.8%
2 4585
8.9%
4 4152
8.1%
3 3944
7.7%
5 3925
 
7.6%
6 3791
 
7.4%
8 3583
 
7.0%
7 3143
 
6.1%
Other values (2) 3015
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41657
80.9%
Other Punctuation 9862
 
19.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6471
15.5%
1 5063
12.2%
2 4585
11.0%
4 4152
10.0%
3 3944
9.5%
5 3925
9.4%
6 3791
9.1%
8 3583
8.6%
7 3143
7.5%
9 3000
7.2%
Other Punctuation
ValueCountFrequency (%)
. 9847
99.8%
, 15
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 51519
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 9847
19.1%
0 6471
12.6%
1 5063
9.8%
2 4585
8.9%
4 4152
8.1%
3 3944
7.7%
5 3925
 
7.6%
6 3791
 
7.4%
8 3583
 
7.0%
7 3143
 
6.1%
Other values (2) 3015
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51519
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 9847
19.1%
0 6471
12.6%
1 5063
9.8%
2 4585
8.9%
4 4152
8.1%
3 3944
7.7%
5 3925
 
7.6%
6 3791
 
7.4%
8 3583
 
7.0%
7 3143
 
6.1%
Other values (2) 3015
 
5.9%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct753
Distinct (%)7.7%
Missing243
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean611332.5
Minimum600011
Maximum619953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:26:38.956892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600011
5-th percentile601818
Q1608090
median612020
Q3614833
95-th percentile619901
Maximum619953
Range19942
Interquartile range (IQR)6743

Descriptive statistics

Standard deviation4901.1752
Coefficient of variation (CV)0.0080172005
Kurtosis-0.43540803
Mean611332.5
Median Absolute Deviation (MAD)3182
Skewness-0.33134447
Sum5.9647712 × 109
Variance24021518
MonotonicityNot monotonic
2024-04-20T21:26:39.295865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
609839 148
 
1.5%
608804 138
 
1.4%
604851 119
 
1.2%
607804 109
 
1.1%
614845 103
 
1.0%
612846 97
 
1.0%
618200 96
 
1.0%
612847 88
 
0.9%
614847 83
 
0.8%
619903 79
 
0.8%
Other values (743) 8697
87.0%
(Missing) 243
 
2.4%
ValueCountFrequency (%)
600011 2
 
< 0.1%
600012 8
0.1%
600013 5
0.1%
600014 1
 
< 0.1%
600016 3
 
< 0.1%
600017 8
0.1%
600021 1
 
< 0.1%
600022 5
0.1%
600023 4
< 0.1%
600025 2
 
< 0.1%
ValueCountFrequency (%)
619953 12
 
0.1%
619952 20
 
0.2%
619951 37
0.4%
619913 23
 
0.2%
619912 35
0.4%
619911 34
0.3%
619906 38
0.4%
619905 79
0.8%
619904 44
0.4%
619903 79
0.8%
Distinct9362
Distinct (%)93.7%
Missing5
Missing (%)< 0.1%
Memory size156.2 KiB
2024-04-20T21:26:40.537255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length54
Mean length23.78019
Min length16

Characters and Unicode

Total characters237683
Distinct characters519
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

Unique8867 ?
Unique (%)88.7%

Sample

1st row부산광역시 남구 대연동 555-15번지
2nd row부산광역시 기장군 일광면 이천리 870번지 2층
3rd row부산광역시 연제구 거제동 366-3번지
4th row부산광역시 강서구 명지동 3176-28번지 1층
5th row부산광역시 동래구 명륜동 548-4번지
ValueCountFrequency (%)
부산광역시 9995
 
22.2%
해운대구 1580
 
3.5%
부산진구 1124
 
2.5%
사하구 999
 
2.2%
금정구 976
 
2.2%
남구 802
 
1.8%
기장군 750
 
1.7%
동래구 710
 
1.6%
1층 681
 
1.5%
연제구 628
 
1.4%
Other values (10045) 26796
59.5%
2024-04-20T21:26:42.257951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35057
 
14.7%
12183
 
5.1%
11897
 
5.0%
1 11570
 
4.9%
10827
 
4.6%
10323
 
4.3%
10153
 
4.3%
10013
 
4.2%
9580
 
4.0%
9243
 
3.9%
Other values (509) 106837
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141157
59.4%
Decimal Number 50349
 
21.2%
Space Separator 35057
 
14.7%
Dash Punctuation 9186
 
3.9%
Open Punctuation 643
 
0.3%
Close Punctuation 641
 
0.3%
Other Punctuation 368
 
0.2%
Uppercase Letter 220
 
0.1%
Math Symbol 32
 
< 0.1%
Lowercase Letter 28
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12183
 
8.6%
11897
 
8.4%
10827
 
7.7%
10323
 
7.3%
10153
 
7.2%
10013
 
7.1%
9580
 
6.8%
9243
 
6.5%
8594
 
6.1%
2548
 
1.8%
Other values (448) 45796
32.4%
Uppercase Letter
ValueCountFrequency (%)
B 49
22.3%
A 42
19.1%
S 23
10.5%
C 15
 
6.8%
G 13
 
5.9%
K 11
 
5.0%
T 8
 
3.6%
I 8
 
3.6%
D 7
 
3.2%
E 7
 
3.2%
Other values (13) 37
16.8%
Lowercase Letter
ValueCountFrequency (%)
e 11
39.3%
a 3
 
10.7%
c 3
 
10.7%
l 2
 
7.1%
o 2
 
7.1%
b 1
 
3.6%
k 1
 
3.6%
n 1
 
3.6%
i 1
 
3.6%
r 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 11570
23.0%
2 6885
13.7%
3 5545
11.0%
4 4994
9.9%
5 4534
 
9.0%
0 3742
 
7.4%
6 3508
 
7.0%
7 3365
 
6.7%
8 3125
 
6.2%
9 3081
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 323
87.8%
. 24
 
6.5%
@ 10
 
2.7%
& 5
 
1.4%
/ 4
 
1.1%
: 2
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 30
93.8%
= 1
 
3.1%
< 1
 
3.1%
Open Punctuation
ValueCountFrequency (%)
( 641
99.7%
[ 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 639
99.7%
] 2
 
0.3%
Space Separator
ValueCountFrequency (%)
35057
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9186
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141157
59.4%
Common 96276
40.5%
Latin 250
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12183
 
8.6%
11897
 
8.4%
10827
 
7.7%
10323
 
7.3%
10153
 
7.2%
10013
 
7.1%
9580
 
6.8%
9243
 
6.5%
8594
 
6.1%
2548
 
1.8%
Other values (448) 45796
32.4%
Latin
ValueCountFrequency (%)
B 49
19.6%
A 42
16.8%
S 23
 
9.2%
C 15
 
6.0%
G 13
 
5.2%
K 11
 
4.4%
e 11
 
4.4%
T 8
 
3.2%
I 8
 
3.2%
D 7
 
2.8%
Other values (26) 63
25.2%
Common
ValueCountFrequency (%)
35057
36.4%
1 11570
 
12.0%
- 9186
 
9.5%
2 6885
 
7.2%
3 5545
 
5.8%
4 4994
 
5.2%
5 4534
 
4.7%
0 3742
 
3.9%
6 3508
 
3.6%
7 3365
 
3.5%
Other values (15) 7890
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 141157
59.4%
ASCII 96524
40.6%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35057
36.3%
1 11570
 
12.0%
- 9186
 
9.5%
2 6885
 
7.1%
3 5545
 
5.7%
4 4994
 
5.2%
5 4534
 
4.7%
0 3742
 
3.9%
6 3508
 
3.6%
7 3365
 
3.5%
Other values (50) 8138
 
8.4%
Hangul
ValueCountFrequency (%)
12183
 
8.6%
11897
 
8.4%
10827
 
7.7%
10323
 
7.3%
10153
 
7.2%
10013
 
7.1%
9580
 
6.8%
9243
 
6.5%
8594
 
6.1%
2548
 
1.8%
Other values (448) 45796
32.4%
Number Forms
ValueCountFrequency (%)
2
100.0%
Distinct9574
Distinct (%)96.6%
Missing90
Missing (%)0.9%
Memory size156.2 KiB
2024-04-20T21:26:43.836848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length60
Mean length30.193239
Min length19

Characters and Unicode

Total characters299215
Distinct characters547
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

Unique9276 ?
Unique (%)93.6%

Sample

1st row부산광역시 남구 수영로266번길 117 (대연동)
2nd row부산광역시 기장군 일광면 이천길 27, 2층
3rd row부산광역시 연제구 법원북로 53 (거제동)
4th row부산광역시 강서구 새진목길 91, 1층 (명지동)
5th row부산광역시 동래구 명륜로129번다길 11-1 (명륜동)
ValueCountFrequency (%)
부산광역시 9910
 
17.1%
1층 2491
 
4.3%
해운대구 1558
 
2.7%
부산진구 1115
 
1.9%
사하구 978
 
1.7%
금정구 960
 
1.7%
남구 801
 
1.4%
기장군 742
 
1.3%
동래구 709
 
1.2%
연제구 626
 
1.1%
Other values (6497) 37969
65.6%
2024-04-20T21:26:45.911867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47992
 
16.0%
1 13555
 
4.5%
12477
 
4.2%
12182
 
4.1%
12069
 
4.0%
10603
 
3.5%
10410
 
3.5%
9936
 
3.3%
9696
 
3.2%
) 9574
 
3.2%
Other values (537) 150721
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174809
58.4%
Space Separator 47992
 
16.0%
Decimal Number 47972
 
16.0%
Close Punctuation 9577
 
3.2%
Open Punctuation 9575
 
3.2%
Other Punctuation 6781
 
2.3%
Dash Punctuation 2002
 
0.7%
Uppercase Letter 387
 
0.1%
Math Symbol 92
 
< 0.1%
Lowercase Letter 25
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12477
 
7.1%
12182
 
7.0%
12069
 
6.9%
10603
 
6.1%
10410
 
6.0%
9936
 
5.7%
9696
 
5.5%
9501
 
5.4%
5342
 
3.1%
5005
 
2.9%
Other values (476) 77588
44.4%
Uppercase Letter
ValueCountFrequency (%)
B 98
25.3%
A 83
21.4%
C 37
 
9.6%
S 32
 
8.3%
G 16
 
4.1%
E 15
 
3.9%
I 14
 
3.6%
D 13
 
3.4%
P 12
 
3.1%
K 12
 
3.1%
Other values (14) 55
14.2%
Decimal Number
ValueCountFrequency (%)
1 13555
28.3%
2 7080
14.8%
3 4882
 
10.2%
0 3885
 
8.1%
4 3840
 
8.0%
5 3545
 
7.4%
6 3235
 
6.7%
7 2713
 
5.7%
8 2679
 
5.6%
9 2558
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
e 15
60.0%
c 2
 
8.0%
a 2
 
8.0%
p 1
 
4.0%
b 1
 
4.0%
o 1
 
4.0%
z 1
 
4.0%
l 1
 
4.0%
k 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 6718
99.1%
. 29
 
0.4%
@ 14
 
0.2%
· 8
 
0.1%
/ 5
 
0.1%
& 4
 
0.1%
* 2
 
< 0.1%
: 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 90
97.8%
= 1
 
1.1%
< 1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 9574
> 99.9%
] 3
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 9572
> 99.9%
[ 3
 
< 0.1%
Space Separator
ValueCountFrequency (%)
47992
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2002
100.0%
Letter Number
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174809
58.4%
Common 123991
41.4%
Latin 415
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12477
 
7.1%
12182
 
7.0%
12069
 
6.9%
10603
 
6.1%
10410
 
6.0%
9936
 
5.7%
9696
 
5.5%
9501
 
5.4%
5342
 
3.1%
5005
 
2.9%
Other values (476) 77588
44.4%
Latin
ValueCountFrequency (%)
B 98
23.6%
A 83
20.0%
C 37
 
8.9%
S 32
 
7.7%
G 16
 
3.9%
e 15
 
3.6%
E 15
 
3.6%
I 14
 
3.4%
D 13
 
3.1%
P 12
 
2.9%
Other values (24) 80
19.3%
Common
ValueCountFrequency (%)
47992
38.7%
1 13555
 
10.9%
) 9574
 
7.7%
( 9572
 
7.7%
2 7080
 
5.7%
, 6718
 
5.4%
3 4882
 
3.9%
0 3885
 
3.1%
4 3840
 
3.1%
5 3545
 
2.9%
Other values (17) 13348
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174809
58.4%
ASCII 124395
41.6%
None 8
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47992
38.6%
1 13555
 
10.9%
) 9574
 
7.7%
( 9572
 
7.7%
2 7080
 
5.7%
, 6718
 
5.4%
3 4882
 
3.9%
0 3885
 
3.1%
4 3840
 
3.1%
5 3545
 
2.8%
Other values (49) 13752
 
11.1%
Hangul
ValueCountFrequency (%)
12477
 
7.1%
12182
 
7.0%
12069
 
6.9%
10603
 
6.1%
10410
 
6.0%
9936
 
5.7%
9696
 
5.5%
9501
 
5.4%
5342
 
3.1%
5005
 
2.9%
Other values (476) 77588
44.4%
None
ValueCountFrequency (%)
· 8
100.0%
Number Forms
ValueCountFrequency (%)
3
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1554
Distinct (%)15.7%
Missing127
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean47676.601
Minimum46002
Maximum49527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:26:46.318959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46002
5-th percentile46061
Q146921
median47774
Q348314
95-th percentile49409
Maximum49527
Range3525
Interquartile range (IQR)1393

Descriptive statistics

Standard deviation1009.6527
Coefficient of variation (CV)0.021177111
Kurtosis-0.94788557
Mean47676.601
Median Absolute Deviation (MAD)733
Skewness0.0055786268
Sum4.7071108 × 108
Variance1019398.5
MonotonicityNot monotonic
2024-04-20T21:26:46.766802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46726 97
 
1.0%
48512 87
 
0.9%
48095 84
 
0.8%
48059 66
 
0.7%
48079 64
 
0.6%
47292 61
 
0.6%
46061 56
 
0.6%
48498 53
 
0.5%
48055 53
 
0.5%
47736 52
 
0.5%
Other values (1544) 9200
92.0%
(Missing) 127
 
1.3%
ValueCountFrequency (%)
46002 1
 
< 0.1%
46003 5
 
0.1%
46004 7
 
0.1%
46006 3
 
< 0.1%
46007 2
 
< 0.1%
46008 43
0.4%
46009 1
 
< 0.1%
46010 2
 
< 0.1%
46012 5
 
0.1%
46013 11
 
0.1%
ValueCountFrequency (%)
49527 9
 
0.1%
49526 1
 
< 0.1%
49525 6
 
0.1%
49524 20
0.2%
49523 3
 
< 0.1%
49522 11
 
0.1%
49521 35
0.4%
49520 6
 
0.1%
49519 1
 
< 0.1%
49518 3
 
< 0.1%
Distinct9126
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-20T21:26:47.972176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length5.9733
Min length1

Characters and Unicode

Total characters59733
Distinct characters1116
Distinct categories12 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8597 ?
Unique (%)86.0%

Sample

1st row떴다 파닭
2nd row로드(Road)27
3rd row정한우
4th row리틀빈후
5th row83비프(BEEF)
ValueCountFrequency (%)
해운대점 23
 
0.2%
부산대점 23
 
0.2%
옛날통닭 22
 
0.2%
맘스터치 22
 
0.2%
연산점 19
 
0.2%
처갓집양념치킨 19
 
0.2%
정관점 17
 
0.1%
교촌치킨 17
 
0.1%
대연점 16
 
0.1%
김밥천국 16
 
0.1%
Other values (9753) 12095
98.4%
2024-04-20T21:26:49.893888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2291
 
3.8%
1511
 
2.5%
1157
 
1.9%
905
 
1.5%
742
 
1.2%
741
 
1.2%
737
 
1.2%
718
 
1.2%
712
 
1.2%
667
 
1.1%
Other values (1106) 49552
83.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52574
88.0%
Space Separator 2291
 
3.8%
Lowercase Letter 1219
 
2.0%
Uppercase Letter 1217
 
2.0%
Decimal Number 885
 
1.5%
Close Punctuation 661
 
1.1%
Open Punctuation 661
 
1.1%
Other Punctuation 200
 
0.3%
Dash Punctuation 13
 
< 0.1%
Math Symbol 5
 
< 0.1%
Other values (2) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1511
 
2.9%
1157
 
2.2%
905
 
1.7%
742
 
1.4%
741
 
1.4%
737
 
1.4%
718
 
1.4%
712
 
1.4%
667
 
1.3%
665
 
1.3%
Other values (1020) 44019
83.7%
Lowercase Letter
ValueCountFrequency (%)
e 145
11.9%
o 133
 
10.9%
a 129
 
10.6%
n 88
 
7.2%
i 84
 
6.9%
l 66
 
5.4%
r 63
 
5.2%
t 55
 
4.5%
s 54
 
4.4%
h 49
 
4.0%
Other values (16) 353
29.0%
Uppercase Letter
ValueCountFrequency (%)
B 95
 
7.8%
A 94
 
7.7%
C 89
 
7.3%
E 86
 
7.1%
O 84
 
6.9%
N 69
 
5.7%
T 67
 
5.5%
H 67
 
5.5%
S 61
 
5.0%
M 55
 
4.5%
Other values (16) 450
37.0%
Other Punctuation
ValueCountFrequency (%)
& 92
46.0%
. 56
28.0%
, 23
 
11.5%
' 10
 
5.0%
! 6
 
3.0%
· 5
 
2.5%
: 3
 
1.5%
# 2
 
1.0%
? 1
 
0.5%
1
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 189
21.4%
0 160
18.1%
2 148
16.7%
9 82
9.3%
3 81
9.2%
7 53
 
6.0%
5 49
 
5.5%
6 48
 
5.4%
4 38
 
4.3%
8 37
 
4.2%
Letter Number
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Math Symbol
ValueCountFrequency (%)
+ 2
40.0%
~ 2
40.0%
= 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 658
99.5%
] 3
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 658
99.5%
[ 3
 
0.5%
Space Separator
ValueCountFrequency (%)
2291
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52504
87.9%
Common 4719
 
7.9%
Latin 2440
 
4.1%
Han 68
 
0.1%
Hiragana 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1511
 
2.9%
1157
 
2.2%
905
 
1.7%
742
 
1.4%
741
 
1.4%
737
 
1.4%
718
 
1.4%
712
 
1.4%
667
 
1.3%
665
 
1.3%
Other values (965) 43949
83.7%
Latin
ValueCountFrequency (%)
e 145
 
5.9%
o 133
 
5.5%
a 129
 
5.3%
B 95
 
3.9%
A 94
 
3.9%
C 89
 
3.6%
n 88
 
3.6%
E 86
 
3.5%
i 84
 
3.4%
O 84
 
3.4%
Other values (45) 1413
57.9%
Han
ValueCountFrequency (%)
5
 
7.4%
4
 
5.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
Other values (43) 43
63.2%
Common
ValueCountFrequency (%)
2291
48.5%
) 658
 
13.9%
( 658
 
13.9%
1 189
 
4.0%
0 160
 
3.4%
2 148
 
3.1%
& 92
 
1.9%
9 82
 
1.7%
3 81
 
1.7%
. 56
 
1.2%
Other values (21) 304
 
6.4%
Hiragana
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52503
87.9%
ASCII 7149
 
12.0%
CJK 67
 
0.1%
None 6
 
< 0.1%
Number Forms 4
 
< 0.1%
Hiragana 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2291
32.0%
) 658
 
9.2%
( 658
 
9.2%
1 189
 
2.6%
0 160
 
2.2%
2 148
 
2.1%
e 145
 
2.0%
o 133
 
1.9%
a 129
 
1.8%
B 95
 
1.3%
Other values (71) 2543
35.6%
Hangul
ValueCountFrequency (%)
1511
 
2.9%
1157
 
2.2%
905
 
1.7%
742
 
1.4%
741
 
1.4%
737
 
1.4%
718
 
1.4%
712
 
1.4%
667
 
1.3%
665
 
1.3%
Other values (964) 43948
83.7%
CJK
ValueCountFrequency (%)
5
 
7.5%
4
 
6.0%
2
 
3.0%
2
 
3.0%
2
 
3.0%
2
 
3.0%
2
 
3.0%
2
 
3.0%
2
 
3.0%
2
 
3.0%
Other values (42) 42
62.7%
None
ValueCountFrequency (%)
· 5
83.3%
1
 
16.7%
Number Forms
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Hiragana
ValueCountFrequency (%)
1
50.0%
1
50.0%

최종수정시점
Real number (ℝ)

Distinct9959
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0173151 × 1013
Minimum1.9990315 × 1013
Maximum2.0201231 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:26:50.145757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990315 × 1013
5-th percentile2.0111104 × 1013
Q12.0160921 × 1013
median2.0181207 × 1013
Q32.020011 × 1013
95-th percentile2.0201105 × 1013
Maximum2.0201231 × 1013
Range2.1091616 × 1011
Interquartile range (IQR)3.9188939 × 1010

Descriptive statistics

Standard deviation3.3554117 × 1010
Coefficient of variation (CV)0.0016633057
Kurtosis4.7954548
Mean2.0173151 × 1013
Median Absolute Deviation (MAD)1.9008499 × 1010
Skewness-2.0052725
Sum2.0173151 × 1017
Variance1.1258787 × 1021
MonotonicityNot monotonic
2024-04-20T21:26:50.400128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040604000000 7
 
0.1%
20020225000000 5
 
0.1%
20050110000000 3
 
< 0.1%
20020523000000 3
 
< 0.1%
20040610000000 3
 
< 0.1%
20050303000000 2
 
< 0.1%
20050711000000 2
 
< 0.1%
20041011000000 2
 
< 0.1%
20020516000000 2
 
< 0.1%
20070517000000 2
 
< 0.1%
Other values (9949) 9969
99.7%
ValueCountFrequency (%)
19990315000000 1
< 0.1%
19990317000000 2
< 0.1%
19990319000000 1
< 0.1%
19990614000000 1
< 0.1%
20001130000000 1
< 0.1%
20010619000000 1
< 0.1%
20010705000000 1
< 0.1%
20010911000000 1
< 0.1%
20010912000000 2
< 0.1%
20011108000000 1
< 0.1%
ValueCountFrequency (%)
20201231164204 1
< 0.1%
20201231152549 1
< 0.1%
20201231152256 1
< 0.1%
20201231151831 1
< 0.1%
20201231151340 1
< 0.1%
20201231144824 1
< 0.1%
20201231132447 1
< 0.1%
20201231112430 1
< 0.1%
20201230155748 1
< 0.1%
20201230150858 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
U
5048 
I
4952 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 5048
50.5%
I 4952
49.5%

Length

2024-04-20T21:26:50.651007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:26:50.817908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 5048
50.5%
i 4952
49.5%
Distinct738
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-02 02:40:00
2024-04-20T21:26:51.015001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-20T21:26:51.263863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4050 
기타
998 
호프/통닭
921 
경양식
796 
분식
730 
Other values (23)
2505 

Length

Max length15
Median length2
Mean length3.2738
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row통닭(치킨)
2nd row경양식
3rd row분식
4th row기타
5th row식육(숯불구이)

Common Values

ValueCountFrequency (%)
한식 4050
40.5%
기타 998
 
10.0%
호프/통닭 921
 
9.2%
경양식 796
 
8.0%
분식 730
 
7.3%
식육(숯불구이) 673
 
6.7%
중국식 322
 
3.2%
통닭(치킨) 306
 
3.1%
회집 278
 
2.8%
일식 230
 
2.3%
Other values (18) 696
 
7.0%

Length

2024-04-20T21:26:51.726557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4050
40.5%
기타 998
 
10.0%
호프/통닭 921
 
9.2%
경양식 796
 
8.0%
분식 730
 
7.3%
식육(숯불구이 673
 
6.7%
중국식 322
 
3.2%
통닭(치킨 306
 
3.1%
회집 278
 
2.8%
일식 230
 
2.3%
Other values (18) 696
 
7.0%

좌표정보(x)
Real number (ℝ)

Distinct8445
Distinct (%)84.8%
Missing37
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean389228.1
Minimum366152.29
Maximum407704.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:26:52.115238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum366152.29
5-th percentile379183.55
Q1384970.87
median389651.78
Q3392844.99
95-th percentile400826.94
Maximum407704.1
Range41551.814
Interquartile range (IQR)7874.1187

Descriptive statistics

Standard deviation6498.803
Coefficient of variation (CV)0.016696644
Kurtosis0.046271722
Mean389228.1
Median Absolute Deviation (MAD)3890.1966
Skewness-0.015926322
Sum3.8778796 × 109
Variance42234441
MonotonicityNot monotonic
2024-04-20T21:26:52.521146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393605.930358633 15
 
0.1%
379182.810645835 13
 
0.1%
393952.264486105 13
 
0.1%
384953.004015023 12
 
0.1%
398330.516530402 12
 
0.1%
387271.299492377 12
 
0.1%
392336.824825275 10
 
0.1%
401669.0 10
 
0.1%
395560.220499924 10
 
0.1%
387655.81972947 10
 
0.1%
Other values (8435) 9846
98.5%
(Missing) 37
 
0.4%
ValueCountFrequency (%)
366152.285158416 1
< 0.1%
366750.818205353 1
< 0.1%
366868.429229268 1
< 0.1%
366931.435995074 1
< 0.1%
366932.039184639 1
< 0.1%
366932.944608323 1
< 0.1%
366933.279981515 1
< 0.1%
366982.00333594 1
< 0.1%
367006.793717122 1
< 0.1%
367008.391899012 1
< 0.1%
ValueCountFrequency (%)
407704.099591732 1
< 0.1%
407693.240178135 1
< 0.1%
407681.822826568 1
< 0.1%
407666.833570635 1
< 0.1%
407581.265861236 2
< 0.1%
407556.4753504 1
< 0.1%
407543.307261317 1
< 0.1%
407524.414162391 1
< 0.1%
407522.620976951 1
< 0.1%
407517.185053364 1
< 0.1%

좌표정보(y)
Real number (ℝ)

Distinct8445
Distinct (%)84.8%
Missing37
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean187990.1
Minimum169660.62
Maximum211718.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:26:52.929790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169660.62
5-th percentile178626.26
Q1184039.54
median187583.68
Q3191636.83
95-th percentile198414.06
Maximum211718.65
Range42058.033
Interquartile range (IQR)7597.292

Descriptive statistics

Standard deviation6258.9084
Coefficient of variation (CV)0.033293819
Kurtosis0.54150051
Mean187990.1
Median Absolute Deviation (MAD)3734.4346
Skewness0.43561651
Sum1.8729454 × 109
Variance39173935
MonotonicityNot monotonic
2024-04-20T21:26:53.342458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188324.973749177 15
 
0.1%
173994.386578688 13
 
0.1%
187602.933160728 13
 
0.1%
179411.688598493 12
 
0.1%
187771.511373596 12
 
0.1%
186099.137533193 12
 
0.1%
183544.386230822 10
 
0.1%
190270.0 10
 
0.1%
186273.769084383 10
 
0.1%
190506.472924428 10
 
0.1%
Other values (8435) 9846
98.5%
(Missing) 37
 
0.4%
ValueCountFrequency (%)
169660.618777519 1
< 0.1%
169741.350466391 1
< 0.1%
170020.600937816 1
< 0.1%
170035.750133163 1
< 0.1%
171739.401231828 1
< 0.1%
173580.423440922 1
< 0.1%
173686.634522523 1
< 0.1%
173705.553829277 1
< 0.1%
173718.54780644 1
< 0.1%
173723.944438485 1
< 0.1%
ValueCountFrequency (%)
211718.651341665 1
< 0.1%
210340.747427853 1
< 0.1%
210280.167619774 1
< 0.1%
210276.15974164 1
< 0.1%
210274.644346605 1
< 0.1%
210212.10060411 1
< 0.1%
210169.093320309 1
< 0.1%
210134.392238701 1
< 0.1%
210122.770644004 1
< 0.1%
210092.386200088 1
< 0.1%

위생업태명
Categorical

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4049 
기타
987 
호프/통닭
910 
경양식
839 
분식
722 
Other values (23)
2493 

Length

Max length15
Median length2
Mean length3.2638
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row통닭(치킨)
2nd row경양식
3rd row분식
4th row기타
5th row식육(숯불구이)

Common Values

ValueCountFrequency (%)
한식 4049
40.5%
기타 987
 
9.9%
호프/통닭 910
 
9.1%
경양식 839
 
8.4%
분식 722
 
7.2%
식육(숯불구이) 668
 
6.7%
중국식 329
 
3.3%
회집 322
 
3.2%
통닭(치킨) 312
 
3.1%
정종/대포집/소주방 226
 
2.3%
Other values (18) 636
 
6.4%

Length

2024-04-20T21:26:53.776274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4049
40.5%
기타 987
 
9.9%
호프/통닭 910
 
9.1%
경양식 839
 
8.4%
분식 722
 
7.2%
식육(숯불구이 668
 
6.7%
중국식 329
 
3.3%
회집 322
 
3.2%
통닭(치킨 312
 
3.1%
정종/대포집/소주방 226
 
2.3%
Other values (18) 636
 
6.4%

남성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.2%
Missing6876
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean0.064980794
Minimum0
Maximum5
Zeros2962
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:26:54.123553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.31699078
Coefficient of variation (CV)4.8782227
Kurtosis67.754502
Mean0.064980794
Median Absolute Deviation (MAD)0
Skewness6.9707503
Sum203
Variance0.10048316
MonotonicityNot monotonic
2024-04-20T21:26:54.552800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 2962
29.6%
1 135
 
1.4%
2 18
 
0.2%
3 6
 
0.1%
5 2
 
< 0.1%
4 1
 
< 0.1%
(Missing) 6876
68.8%
ValueCountFrequency (%)
0 2962
29.6%
1 135
 
1.4%
2 18
 
0.2%
3 6
 
0.1%
4 1
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
5 2
 
< 0.1%
4 1
 
< 0.1%
3 6
 
0.1%
2 18
 
0.2%
1 135
 
1.4%
0 2962
29.6%

여성종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)0.3%
Missing6878
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean0.128123
Minimum0
Maximum15
Zeros2898
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:26:54.911325image/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 deviation0.62438712
Coefficient of variation (CV)4.8733415
Kurtosis158.76371
Mean0.128123
Median Absolute Deviation (MAD)0
Skewness9.906991
Sum400
Variance0.38985928
MonotonicityNot monotonic
2024-04-20T21:26:55.292595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 2898
29.0%
1 138
 
1.4%
2 47
 
0.5%
3 20
 
0.2%
4 9
 
0.1%
5 4
 
< 0.1%
6 3
 
< 0.1%
11 1
 
< 0.1%
15 1
 
< 0.1%
8 1
 
< 0.1%
(Missing) 6878
68.8%
ValueCountFrequency (%)
0 2898
29.0%
1 138
 
1.4%
2 47
 
0.5%
3 20
 
0.2%
4 9
 
0.1%
5 4
 
< 0.1%
6 3
 
< 0.1%
8 1
 
< 0.1%
11 1
 
< 0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
11 1
 
< 0.1%
8 1
 
< 0.1%
6 3
 
< 0.1%
5 4
 
< 0.1%
4 9
 
0.1%
3 20
 
0.2%
2 47
 
0.5%
1 138
 
1.4%
0 2898
29.0%

영업장주변구분명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6936 
기타
1989 
주택가주변
 
675
유흥업소밀집지역
 
180
아파트지역
 
157
Other values (3)
 
63

Length

Max length8
Median length4
Mean length3.7822
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6936
69.4%
기타 1989
 
19.9%
주택가주변 675
 
6.8%
유흥업소밀집지역 180
 
1.8%
아파트지역 157
 
1.6%
학교정화(상대) 52
 
0.5%
학교정화(절대) 7
 
0.1%
결혼예식장주변 4
 
< 0.1%

Length

2024-04-20T21:26:55.822229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:26:56.205552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6936
69.4%
기타 1989
 
19.9%
주택가주변 675
 
6.8%
유흥업소밀집지역 180
 
1.8%
아파트지역 157
 
1.6%
학교정화(상대 52
 
0.5%
학교정화(절대 7
 
0.1%
결혼예식장주변 4
 
< 0.1%

등급구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7462 
기타
1616 
자율
891 
우수
 
14
지도
 
11

Length

Max length4
Median length4
Mean length3.4924
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7462
74.6%
기타 1616
 
16.2%
자율 891
 
8.9%
우수 14
 
0.1%
지도 11
 
0.1%
관리 6
 
0.1%

Length

2024-04-20T21:26:56.662575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:26:57.034246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7462
74.6%
기타 1616
 
16.2%
자율 891
 
8.9%
우수 14
 
0.1%
지도 11
 
0.1%
관리 6
 
0.1%

급수시설구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상수도전용
6031 
<NA>
3911 
지하수전용
 
42
간이상수도
 
11
상수도(음용)지하수(주방용)겸용
 
4

Length

Max length19
Median length5
Mean length4.6151
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 6031
60.3%
<NA> 3911
39.1%
지하수전용 42
 
0.4%
간이상수도 11
 
0.1%
상수도(음용)지하수(주방용)겸용 4
 
< 0.1%
전용상수도(특정시설의 자가용 수도) 1
 
< 0.1%

Length

2024-04-20T21:26:57.447757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:26:57.828455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 6031
60.3%
na 3911
39.1%
지하수전용 42
 
0.4%
간이상수도 11
 
0.1%
상수도(음용)지하수(주방용)겸용 4
 
< 0.1%
전용상수도(특정시설의 1
 
< 0.1%
자가용 1
 
< 0.1%
수도 1
 
< 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>
9999 
0
 
1

Length

Max length4
Median length4
Mean length3.9997
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9999
> 99.9%
0 1
 
< 0.1%

Length

2024-04-20T21:26:58.348288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:26:58.652892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9999
> 99.9%
0 1
 
< 0.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9999 
0
 
1

Length

Max length4
Median length4
Mean length3.9997
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9999
> 99.9%
0 1
 
< 0.1%

Length

2024-04-20T21:26:59.055761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:26:59.347073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9999
> 99.9%
0 1
 
< 0.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9999 
0
 
1

Length

Max length4
Median length4
Mean length3.9997
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9999
> 99.9%
0 1
 
< 0.1%

Length

2024-04-20T21:26:59.691808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:27:00.005807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9999
> 99.9%
0 1
 
< 0.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9999 
0
 
1

Length

Max length4
Median length4
Mean length3.9997
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9999
> 99.9%
0 1
 
< 0.1%

Length

2024-04-20T21:27:00.349738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:27:00.662968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9999
> 99.9%
0 1
 
< 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>
9999 
0
 
1

Length

Max length4
Median length4
Mean length3.9997
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9999
> 99.9%
0 1
 
< 0.1%

Length

2024-04-20T21:27:01.003361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:27:01.326160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9999
> 99.9%
0 1
 
< 0.1%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9999 
0
 
1

Length

Max length4
Median length4
Mean length3.9997
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9999
> 99.9%
0 1
 
< 0.1%

Length

2024-04-20T21:27:01.709862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:27:01.994471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9999
> 99.9%
0 1
 
< 0.1%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9129 
True
 
871
ValueCountFrequency (%)
False 9129
91.3%
True 871
 
8.7%
2024-04-20T21:27:02.435222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

ZEROS 

Distinct6249
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.240988
Minimum0
Maximum2979.73
Zeros235
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-20T21:27:02.768309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.8785
Q133
median57.375
Q396.9125
95-th percentile241.5745
Maximum2979.73
Range2979.73
Interquartile range (IQR)63.9125

Descriptive statistics

Standard deviation111.52678
Coefficient of variation (CV)1.3083703
Kurtosis140.08023
Mean85.240988
Median Absolute Deviation (MAD)28.6
Skewness8.3788824
Sum852409.88
Variance12438.222
MonotonicityNot monotonic
2024-04-20T21:27:03.199740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 235
 
2.4%
33.0 41
 
0.4%
30.0 31
 
0.3%
66.0 29
 
0.3%
24.0 25
 
0.2%
36.0 23
 
0.2%
40.0 22
 
0.2%
20.0 21
 
0.2%
49.5 21
 
0.2%
42.0 21
 
0.2%
Other values (6239) 9531
95.3%
ValueCountFrequency (%)
0.0 235
2.4%
2.52 1
 
< 0.1%
2.94 1
 
< 0.1%
3.16 1
 
< 0.1%
3.24 1
 
< 0.1%
3.9 1
 
< 0.1%
4.05 1
 
< 0.1%
5.28 1
 
< 0.1%
5.94 1
 
< 0.1%
6.0 2
 
< 0.1%
ValueCountFrequency (%)
2979.73 1
< 0.1%
2747.47 1
< 0.1%
2637.76 1
< 0.1%
1869.36 1
< 0.1%
1778.78 1
< 0.1%
1711.88 1
< 0.1%
1637.58 1
< 0.1%
1253.35 1
< 0.1%
1224.54 1
< 0.1%
1217.85 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
1413714138일반음식점07_24_04_P33100003310000-101-2002-0349420020524<NA>1영업/정상1영업<NA><NA><NA><NA>051 623 996517.50608810부산광역시 남구 대연동 555-15번지부산광역시 남구 수영로266번길 117 (대연동)48500떴다 파닭20150102103056I2018-08-31 23:59:59.0통닭(치킨)391384.06095183487.642697통닭(치킨)00주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N17.5<NA><NA><NA><NA>
48124813일반음식점07_24_04_P34000003400000-101-2017-0002820170310<NA>1영업/정상1영업<NA><NA><NA><NA>051 722 725763.27619913부산광역시 기장군 일광면 이천리 870번지 2층부산광역시 기장군 일광면 이천길 27, 2층46042로드(Road)2720170310204204I2018-08-31 23:59:59.0경양식403456.001527198506.646588경양식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N63.27<NA><NA><NA><NA>
99699970일반음식점07_24_04_P33700003370000-101-2002-0389920021008<NA>1영업/정상1영업<NA><NA><NA><NA>051 503578769.95611802부산광역시 연제구 거제동 366-3번지부산광역시 연제구 법원북로 53 (거제동)47507정한우20190611103858U2019-06-13 02:40:00.0분식388732.003563190303.969499분식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N69.95<NA><NA><NA><NA>
1802718028일반음식점07_24_04_P33600003360000-101-2017-0012720170621<NA>1영업/정상1영업<NA><NA><NA><NA><NA>139.92618815부산광역시 강서구 명지동 3176-28번지 1층부산광역시 강서구 새진목길 91, 1층 (명지동)46717리틀빈후20180727165302I2018-08-31 23:59:59.0기타375325.975227181172.883237기타<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N139.92<NA><NA><NA><NA>
1835718358일반음식점07_24_04_P33000003300000-101-2014-0012720140714<NA>1영업/정상1영업<NA><NA><NA><NA><NA>64.00607804부산광역시 동래구 명륜동 548-4번지부산광역시 동래구 명륜로129번다길 11-1 (명륜동)4773683비프(BEEF)20140721165448I2018-08-31 23:59:59.0식육(숯불구이)389285.20947191589.915671식육(숯불구이)<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N64.0<NA><NA><NA><NA>
1659416595일반음식점07_24_04_P33300003330000-101-1997-0159019971031<NA>1영업/정상1영업<NA><NA><NA><NA>051 746147150.51612835부산광역시 해운대구 좌동 965번지부산광역시 해운대구 세실로 103 (좌동, 지상1층)48079황금수산20111124122218I2018-08-31 23:59:59.0한식398097.275917188214.24007한식00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N50.51<NA><NA><NA><NA>
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1018410185일반음식점07_24_04_P33200003320000-101-2009-0011420090824<NA>1영업/정상1영업<NA><NA><NA><NA>051 333 665562.00616803부산광역시 북구 구포동 1211-13번지부산광역시 북구 시랑로35번길 13 (구포동)46600피자베이본점20191213115402U2019-12-15 02:40:00.0기타382540.735616191122.297819기타1<NA>주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N62.0<NA><NA><NA><NA>
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번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총종업원수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지Unnamed: 47
1943219433일반음식점07_24_04_P32900003290000-101-1987-0070519870905<NA>1영업/정상1영업<NA><NA><NA><NA>051 809995836.88614849부산광역시 부산진구 부전동 398-1번지부산광역시 부산진구 서면문화로 30-14 (부전동)47256녹산횟집20180515114302I2018-08-31 23:59:59.0회집387328.414087186449.985098회집00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N36.88<NA><NA><NA><NA>
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2409524096일반음식점07_24_04_P33700003370000-101-1994-0098019940817<NA>1영업/정상1영업<NA><NA><NA><NA>051 752209527.20611812부산광역시 연제구 연산동 480-7번지부산광역시 연제구 과정로 142 (연산동)47570문현곱창20190701133520U2019-07-03 02:40:00.0한식391887.676895189246.516676경양식00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N27.2<NA><NA><NA><NA>
1926419265일반음식점07_24_04_P33300003330000-101-2002-0469720020913<NA>1영업/정상1영업<NA><NA><NA><NA>051 783840831.62612832부산광역시 해운대구 재송동 1147-6 (1층)부산광역시 해운대구 재반로 156-1 (재송동, 1층)48052하동당20200729113258U2020-07-31 02:40:00.0분식393788.370175190159.34058경양식00주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N31.62<NA><NA><NA><NA>
44224423일반음식점07_24_04_P32900003290000-101-2003-0019920030621<NA>1영업/정상1영업<NA><NA><NA><NA><NA>40.42614845부산광역시 부산진구 부전동 160-8번지 지상1층부산광역시 부산진구 서전로10번길 36, 지상1층 (부전동)47291육즙산장20181207151844U2018-12-09 02:40:00.0식육(숯불구이)387610.434305186071.582645식육(숯불구이)00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N40.42<NA><NA><NA><NA>
1244012441일반음식점07_24_04_P33100003310000-101-2018-0004220180314<NA>1영업/정상1영업<NA><NA><NA><NA><NA>27.11608837부산광역시 남구 용호동 660-10번지부산광역시 남구 동명로132번길 38, 1층 (용호동)48566형제우동20180330180310I2018-08-31 23:59:59.0일식392343.438865181928.839429일식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N27.11<NA><NA><NA><NA>
2080920810일반음식점07_24_04_P32500003250000-101-2001-0326820010514<NA>1영업/정상1영업<NA><NA><NA><NA>051 467878765.02600013부산광역시 중구 중앙동3가 9-7번지부산광역시 중구 대청로 143 (중앙동3가)48931엠지(M.G)20190821101746U2019-08-23 02:40:00.0한식385521.469912180110.779896한식00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N65.02<NA><NA><NA><NA>
1073410735일반음식점07_24_04_P33000003300000-101-2009-0009320090716<NA>1영업/정상1영업<NA><NA><NA><NA>051 522399937.40607826부산광역시 동래구 안락동 465-24번지부산광역시 동래구 충렬대로459번길 89 (안락동)47793테라스20140407140839I2018-08-31 23:59:59.0분식392138.488588190863.668969분식<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N37.4<NA><NA><NA><NA>