Overview

Dataset statistics

Number of variables8
Number of observations102
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory69.3 B

Variable types

Categorical4
Numeric4

Dataset

Description제주특별자치도 시군구별 보훈대상자 인원현황 자료1. 적용 대상 국가유공자는 「국가유공자 등 예우 및 지원에 관한 법률」 제4조 참조2. 참전유공자는 「참전유공자예우 및 단체설립에 관한 법률」제2조에 의거 등록된 대상자 현황<참고>* 제적(국적상실), 등급기준 미달자, 단순 수훈자, 희생자력 제외* 합계는 등록대상별 현황의 합계임 (실인원이 아님)* (고엽제후유증)은 국가유공자예우법상 "전몰·전상·순직·공상군경"에 포함(중복합산을 하지 않음)
Author국가보훈부
URLhttps://www.data.go.kr/data/15098586/fileData.do

Alerts

기준년월 has constant value ""Constant
지역명 has constant value ""Constant
순서 is highly overall correlated with 대상구분High correlation
합계 is highly overall correlated with 본인 and 1 other fieldsHigh correlation
본인 is highly overall correlated with 합계High correlation
유족 is highly overall correlated with 합계High correlation
대상구분 is highly overall correlated with 순서High correlation
합계 has 23 (22.5%) zerosZeros
본인 has 46 (45.1%) zerosZeros
유족 has 44 (43.1%) zerosZeros

Reproduction

Analysis started2024-03-16 04:18:25.075491
Analysis finished2024-03-16 04:18:28.332947
Duration3.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-31
102 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-31
2nd row2023-12-31
3rd row2023-12-31
4th row2023-12-31
5th row2023-12-31

Common Values

ValueCountFrequency (%)
2023-12-31 102
100.0%

Length

2024-03-16T13:18:28.425005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:18:28.591364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-31 102
100.0%

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
제주특별자치도
102 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주특별자치도 102
100.0%

Length

2024-03-16T13:18:28.756236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:18:28.947388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 102
100.0%

시군구명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
서귀포시
51 
제주시
51 

Length

Max length4
Median length3.5
Mean length3.5
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서귀포시 51
50.0%
제주시 51
50.0%

Length

2024-03-16T13:18:29.139977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:18:29.309977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서귀포시 51
50.0%
제주시 51
50.0%

순서
Real number (ℝ)

HIGH CORRELATION 

Distinct51
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-16T13:18:29.567677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.05
Q113.25
median26
Q338.75
95-th percentile48.95
Maximum51
Range50
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation14.792291
Coefficient of variation (CV)0.56893428
Kurtosis-1.2007276
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum2652
Variance218.81188
MonotonicityNot monotonic
2024-03-16T13:18:29.828800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2
 
2.0%
2 2
 
2.0%
29 2
 
2.0%
30 2
 
2.0%
31 2
 
2.0%
32 2
 
2.0%
33 2
 
2.0%
34 2
 
2.0%
35 2
 
2.0%
36 2
 
2.0%
Other values (41) 82
80.4%
ValueCountFrequency (%)
1 2
2.0%
2 2
2.0%
3 2
2.0%
4 2
2.0%
5 2
2.0%
6 2
2.0%
7 2
2.0%
8 2
2.0%
9 2
2.0%
10 2
2.0%
ValueCountFrequency (%)
51 2
2.0%
50 2
2.0%
49 2
2.0%
48 2
2.0%
47 2
2.0%
46 2
2.0%
45 2
2.0%
44 2
2.0%
43 2
2.0%
42 2
2.0%

대상구분
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
건국포장
 
4
대통령표창
 
4
6·18자유상이자
 
2
고엽제후유증
 
2
지원순직군경
 
2
Other values (44)
88 

Length

Max length15
Median length11
Mean length7
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[순국선열]
2nd row건국훈장
3rd row건국포장
4th row대통령표창
5th row[애국지사]

Common Values

ValueCountFrequency (%)
건국포장 4
 
3.9%
대통령표창 4
 
3.9%
6·18자유상이자 2
 
2.0%
고엽제후유증 2
 
2.0%
지원순직군경 2
 
2.0%
보국수훈자 2
 
2.0%
[애국지사] 2
 
2.0%
건국훈장 2
 
2.0%
[전몰·전상·순직·공상군경] 2
 
2.0%
전몰군경 2
 
2.0%
Other values (39) 78
76.5%

Length

2024-03-16T13:18:30.088720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건국포장 4
 
3.6%
행불자 4
 
3.6%
또는 4
 
3.6%
건국훈장 4
 
3.6%
대통령표창 4
 
3.6%
5·18부상자 2
 
1.8%
참전유공자 2
 
1.8%
순국선열 2
 
1.8%
6.25및월남전쟁 2
 
1.8%
지원공상공무원 2
 
1.8%
Other values (40) 80
72.7%

합계
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct54
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199.91176
Minimum0
Maximum3101
Zeros23
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-16T13:18:30.302918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q3111.75
95-th percentile1320.55
Maximum3101
Range3101
Interquartile range (IQR)110.75

Descriptive statistics

Standard deviation475.42998
Coefficient of variation (CV)2.3781991
Kurtosis15.744214
Mean199.91176
Median Absolute Deviation (MAD)10
Skewness3.6367531
Sum20391
Variance226033.67
MonotonicityNot monotonic
2024-03-16T13:18:30.553256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23
22.5%
3 7
 
6.9%
4 5
 
4.9%
1 4
 
3.9%
5 4
 
3.9%
12 3
 
2.9%
2 3
 
2.9%
17 2
 
2.0%
24 2
 
2.0%
11 2
 
2.0%
Other values (44) 47
46.1%
ValueCountFrequency (%)
0 23
22.5%
1 4
 
3.9%
2 3
 
2.9%
3 7
 
6.9%
4 5
 
4.9%
5 4
 
3.9%
6 2
 
2.0%
8 1
 
1.0%
9 2
 
2.0%
11 2
 
2.0%
ValueCountFrequency (%)
3101 1
1.0%
1891 1
1.0%
1725 1
1.0%
1473 1
1.0%
1406 1
1.0%
1342 1
1.0%
913 1
1.0%
793 1
1.0%
720 1
1.0%
683 1
1.0%

본인
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct40
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.63725
Minimum0
Maximum1891
Zeros46
Zeros (%)45.1%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-16T13:18:30.761206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q331
95-th percentile672.8
Maximum1891
Range1891
Interquartile range (IQR)31

Descriptive statistics

Standard deviation287.59948
Coefficient of variation (CV)2.6473375
Kurtosis18.50675
Mean108.63725
Median Absolute Deviation (MAD)1.5
Skewness3.9860547
Sum11081
Variance82713.461
MonotonicityNot monotonic
2024-03-16T13:18:31.356544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 46
45.1%
1 5
 
4.9%
4 5
 
4.9%
3 3
 
2.9%
6 3
 
2.9%
7 2
 
2.0%
31 2
 
2.0%
20 2
 
2.0%
16 2
 
2.0%
8 2
 
2.0%
Other values (30) 30
29.4%
ValueCountFrequency (%)
0 46
45.1%
1 5
 
4.9%
2 1
 
1.0%
3 3
 
2.9%
4 5
 
4.9%
6 3
 
2.9%
7 2
 
2.0%
8 2
 
2.0%
9 1
 
1.0%
10 1
 
1.0%
ValueCountFrequency (%)
1891 1
1.0%
1406 1
1.0%
913 1
1.0%
903 1
1.0%
720 1
1.0%
683 1
1.0%
479 1
1.0%
477 1
1.0%
426 1
1.0%
401 1
1.0%

유족
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct33
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.27451
Minimum0
Maximum2198
Zeros44
Zeros (%)43.1%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-16T13:18:31.603202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q316
95-th percentile591.4
Maximum2198
Range2198
Interquartile range (IQR)16

Descriptive statistics

Standard deviation306.43395
Coefficient of variation (CV)3.3572785
Kurtosis25.665155
Mean91.27451
Median Absolute Deviation (MAD)1
Skewness4.7606196
Sum9310
Variance93901.765
MonotonicityNot monotonic
2024-03-16T13:18:31.799800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 44
43.1%
1 9
 
8.8%
2 6
 
5.9%
5 4
 
3.9%
3 4
 
3.9%
11 3
 
2.9%
4 3
 
2.9%
28 3
 
2.9%
9 2
 
2.0%
76 1
 
1.0%
Other values (23) 23
22.5%
ValueCountFrequency (%)
0 44
43.1%
1 9
 
8.8%
2 6
 
5.9%
3 4
 
3.9%
4 3
 
2.9%
5 4
 
3.9%
9 2
 
2.0%
11 3
 
2.9%
13 1
 
1.0%
17 1
 
1.0%
ValueCountFrequency (%)
2198 1
1.0%
1248 1
1.0%
1182 1
1.0%
1095 1
1.0%
642 1
1.0%
593 1
1.0%
561 1
1.0%
344 1
1.0%
193 1
1.0%
156 1
1.0%

Interactions

2024-03-16T13:18:27.470231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:25.643360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:26.264440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:26.875396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:27.586957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:25.798103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:26.402217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:27.050344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:27.731735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:25.980982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:26.554228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:27.215139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:27.861982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:26.133103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:26.713355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:27.345799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:18:31.951606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명순서대상구분합계본인유족
시군구명1.0000.0000.0000.0000.0880.081
순서0.0001.0000.9960.2600.2660.355
대상구분0.0000.9961.0000.5120.5130.496
합계0.0000.2600.5121.0000.9590.847
본인0.0880.2660.5130.9591.0000.507
유족0.0810.3550.4960.8470.5071.000
2024-03-16T13:18:32.111952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대상구분시군구명
대상구분1.0000.000
시군구명0.0001.000
2024-03-16T13:18:32.289314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서합계본인유족시군구명대상구분
순서1.000-0.0390.288-0.4510.0000.729
합계-0.0391.0000.7620.6020.0000.149
본인0.2880.7621.0000.1750.0890.149
유족-0.4510.6020.1751.0000.0530.161
시군구명0.0000.0000.0890.0531.0000.000
대상구분0.7290.1490.1490.1610.0001.000

Missing values

2024-03-16T13:18:28.040494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:18:28.266042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

기준년월지역명시군구명순서대상구분합계본인유족
02023-12-31제주특별자치도서귀포시1[순국선열]000
12023-12-31제주특별자치도서귀포시2건국훈장000
22023-12-31제주특별자치도서귀포시3건국포장000
32023-12-31제주특별자치도서귀포시4대통령표창000
42023-12-31제주특별자치도서귀포시5[애국지사]29128
52023-12-31제주특별자치도서귀포시6건국훈장12111
62023-12-31제주특별자치도서귀포시7건국포장404
72023-12-31제주특별자치도서귀포시8대통령표창13013
82023-12-31제주특별자치도서귀포시9[전몰·전상·순직·공상군경]14733781095
92023-12-31제주특별자치도서귀포시10전몰군경3440344
기준년월지역명시군구명순서대상구분합계본인유족
922023-12-31제주특별자치도제주시42고엽제후유증2세330
932023-12-31제주특별자치도제주시43[5·18민주유공자]1183
942023-12-31제주특별자치도제주시445·18사망자 또는 행불자000
952023-12-31제주특별자치도제주시455·18부상자1183
962023-12-31제주특별자치도제주시465·18희생자000
972023-12-31제주특별자치도제주시47[특수임무유공자]37334
982023-12-31제주특별자치도제주시48특수임무사망자 또는 행불자000
992023-12-31제주특별자치도제주시49특수임무부상자13121
1002023-12-31제주특별자치도제주시50특수임무공로자24213
1012023-12-31제주특별자치도제주시51중·장기복무제대군인7207200