Overview

Dataset statistics

Number of variables8
Number of observations816
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory54.3 KiB
Average record size in memory68.2 B

Variable types

Categorical4
Numeric4

Dataset

Description부산광역시 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/15098580/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 173 (21.2%) zerosZeros
본인 has 401 (49.1%) zerosZeros
유족 has 337 (41.3%) zerosZeros

Reproduction

Analysis started2024-03-16 04:12:15.911167
Analysis finished2024-03-16 04:12:19.854440
Duration3.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-31
816 

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 (%)
2023-12-31 816
100.0%

Length

2024-03-16T13:12:19.944392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:12:20.597427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-31 816
100.0%

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
부산광역시
816 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 816
100.0%

Length

2024-03-16T13:12:20.755827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:12:20.906255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 816
100.0%

시군구명
Categorical

Distinct16
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
강서구(부산)
 
51
금정구
 
51
기장군
 
51
남구(부산)
 
51
동구(부산)
 
51
Other values (11)
561 

Length

Max length7
Median length6.5
Mean length4.3125
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강서구(부산)
2nd row강서구(부산)
3rd row강서구(부산)
4th row강서구(부산)
5th row강서구(부산)

Common Values

ValueCountFrequency (%)
강서구(부산) 51
 
6.2%
금정구 51
 
6.2%
기장군 51
 
6.2%
남구(부산) 51
 
6.2%
동구(부산) 51
 
6.2%
동래구 51
 
6.2%
부산진구 51
 
6.2%
북구(부산) 51
 
6.2%
사상구 51
 
6.2%
사하구 51
 
6.2%
Other values (6) 306
37.5%

Length

2024-03-16T13:12:21.126001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강서구(부산 51
 
6.2%
금정구 51
 
6.2%
기장군 51
 
6.2%
남구(부산 51
 
6.2%
동구(부산 51
 
6.2%
동래구 51
 
6.2%
부산진구 51
 
6.2%
북구(부산 51
 
6.2%
사상구 51
 
6.2%
사하구 51
 
6.2%
Other values (6) 306
37.5%

순서
Real number (ℝ)

HIGH CORRELATION 

Distinct51
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2024-03-16T13:12:21.427762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q113
median26
Q339
95-th percentile49
Maximum51
Range50
Interquartile range (IQR)26

Descriptive statistics

Standard deviation14.728629
Coefficient of variation (CV)0.56648573
Kurtosis-1.2009251
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum21216
Variance216.93252
MonotonicityNot monotonic
2024-03-16T13:12:21.714979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 16
 
2.0%
2 16
 
2.0%
29 16
 
2.0%
30 16
 
2.0%
31 16
 
2.0%
32 16
 
2.0%
33 16
 
2.0%
34 16
 
2.0%
35 16
 
2.0%
36 16
 
2.0%
Other values (41) 656
80.4%
ValueCountFrequency (%)
1 16
2.0%
2 16
2.0%
3 16
2.0%
4 16
2.0%
5 16
2.0%
6 16
2.0%
7 16
2.0%
8 16
2.0%
9 16
2.0%
10 16
2.0%
ValueCountFrequency (%)
51 16
2.0%
50 16
2.0%
49 16
2.0%
48 16
2.0%
47 16
2.0%
46 16
2.0%
45 16
2.0%
44 16
2.0%
43 16
2.0%
42 16
2.0%

대상구분
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
건국포장
 
32
대통령표창
 
32
6·18자유상이자
 
16
고엽제후유증
 
16
지원순직군경
 
16
Other values (44)
704 

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 32
 
3.9%
대통령표창 32
 
3.9%
6·18자유상이자 16
 
2.0%
고엽제후유증 16
 
2.0%
지원순직군경 16
 
2.0%
보국수훈자 16
 
2.0%
[애국지사] 16
 
2.0%
건국훈장 16
 
2.0%
[전몰·전상·순직·공상군경] 16
 
2.0%
전몰군경 16
 
2.0%
Other values (39) 624
76.5%

Length

2024-03-16T13:12:21.917968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건국포장 32
 
3.6%
행불자 32
 
3.6%
또는 32
 
3.6%
건국훈장 32
 
3.6%
대통령표창 32
 
3.6%
5·18부상자 16
 
1.8%
참전유공자 16
 
1.8%
순국선열 16
 
1.8%
6.25및월남전쟁 16
 
1.8%
지원공상공무원 16
 
1.8%
Other values (40) 640
72.7%

합계
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct229
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.65196
Minimum0
Maximum2387
Zeros173
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2024-03-16T13:12:22.108299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q356.25
95-th percentile856.75
Maximum2387
Range2387
Interquartile range (IQR)55.25

Descriptive statistics

Standard deviation325.04905
Coefficient of variation (CV)2.4690027
Kurtosis14.288901
Mean131.65196
Median Absolute Deviation (MAD)6
Skewness3.5922909
Sum107428
Variance105656.88
MonotonicityNot monotonic
2024-03-16T13:12:22.318755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 173
21.2%
1 77
 
9.4%
2 57
 
7.0%
3 43
 
5.3%
4 31
 
3.8%
5 23
 
2.8%
6 15
 
1.8%
7 14
 
1.7%
8 12
 
1.5%
25 10
 
1.2%
Other values (219) 361
44.2%
ValueCountFrequency (%)
0 173
21.2%
1 77
9.4%
2 57
 
7.0%
3 43
 
5.3%
4 31
 
3.8%
5 23
 
2.8%
6 15
 
1.8%
7 14
 
1.7%
8 12
 
1.5%
9 7
 
0.9%
ValueCountFrequency (%)
2387 1
0.1%
2383 1
0.1%
1859 1
0.1%
1847 1
0.1%
1846 1
0.1%
1806 1
0.1%
1788 1
0.1%
1655 1
0.1%
1611 1
0.1%
1569 1
0.1%

본인
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct184
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.925245
Minimum0
Maximum1847
Zeros401
Zeros (%)49.1%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2024-03-16T13:12:22.566945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q321
95-th percentile485.25
Maximum1847
Range1847
Interquartile range (IQR)21

Descriptive statistics

Standard deviation240.92426
Coefficient of variation (CV)2.8038822
Kurtosis19.634634
Mean85.925245
Median Absolute Deviation (MAD)1
Skewness4.1607686
Sum70115
Variance58044.501
MonotonicityNot monotonic
2024-03-16T13:12:22.846382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 401
49.1%
1 39
 
4.8%
2 30
 
3.7%
3 24
 
2.9%
4 19
 
2.3%
8 11
 
1.3%
6 10
 
1.2%
11 9
 
1.1%
5 9
 
1.1%
9 9
 
1.1%
Other values (174) 255
31.2%
ValueCountFrequency (%)
0 401
49.1%
1 39
 
4.8%
2 30
 
3.7%
3 24
 
2.9%
4 19
 
2.3%
5 9
 
1.1%
6 10
 
1.2%
7 6
 
0.7%
8 11
 
1.3%
9 9
 
1.1%
ValueCountFrequency (%)
1847 1
0.1%
1846 1
0.1%
1611 1
0.1%
1569 1
0.1%
1558 1
0.1%
1401 1
0.1%
1395 1
0.1%
1385 1
0.1%
1362 1
0.1%
1239 2
0.2%

유족
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct140
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.726716
Minimum0
Maximum1488
Zeros337
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2024-03-16T13:12:23.049002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q311
95-th percentile265.5
Maximum1488
Range1488
Interquartile range (IQR)11

Descriptive statistics

Standard deviation154.8641
Coefficient of variation (CV)3.3867314
Kurtosis33.071601
Mean45.726716
Median Absolute Deviation (MAD)1
Skewness5.3295557
Sum37313
Variance23982.891
MonotonicityNot monotonic
2024-03-16T13:12:23.280498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 337
41.3%
1 93
 
11.4%
2 72
 
8.8%
3 38
 
4.7%
4 18
 
2.2%
5 16
 
2.0%
8 10
 
1.2%
6 10
 
1.2%
7 8
 
1.0%
16 8
 
1.0%
Other values (130) 206
25.2%
ValueCountFrequency (%)
0 337
41.3%
1 93
 
11.4%
2 72
 
8.8%
3 38
 
4.7%
4 18
 
2.2%
5 16
 
2.0%
6 10
 
1.2%
7 8
 
1.0%
8 10
 
1.2%
9 6
 
0.7%
ValueCountFrequency (%)
1488 1
0.1%
1428 1
0.1%
1120 1
0.1%
1101 1
0.1%
1082 1
0.1%
1024 1
0.1%
937 1
0.1%
934 1
0.1%
872 1
0.1%
871 1
0.1%

Interactions

2024-03-16T13:12:18.743818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:16.435576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:17.135377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:17.764029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:18.926610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:16.624542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:17.286076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:17.982729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:19.079283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:16.806136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:17.415303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:18.252839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:19.303015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:16.987667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:17.574366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:18.535661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:12:23.451099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명순서대상구분합계본인유족
시군구명1.0000.0000.0000.0270.0000.000
순서0.0001.0000.9980.4690.6020.448
대상구분0.0000.9981.0000.7700.7690.792
합계0.0270.4690.7701.0000.8660.958
본인0.0000.6020.7690.8661.0000.591
유족0.0000.4480.7920.9580.5911.000
2024-03-16T13:12:23.638119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명대상구분
시군구명1.0000.000
대상구분0.0001.000
2024-03-16T13:12:23.775114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서합계본인유족시군구명대상구분
순서1.000-0.0670.280-0.4950.0000.954
합계-0.0671.0000.7650.5930.0100.393
본인0.2800.7651.0000.1570.0000.375
유족-0.4950.5930.1571.0000.0000.417
시군구명0.0000.0100.0000.0001.0000.000
대상구분0.9540.3930.3750.4170.0001.000

Missing values

2024-03-16T13:12:19.530268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:12:19.756108image/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
02023-12-31부산광역시강서구(부산)1[순국선열]000
12023-12-31부산광역시강서구(부산)2건국훈장000
22023-12-31부산광역시강서구(부산)3건국포장000
32023-12-31부산광역시강서구(부산)4대통령표창000
42023-12-31부산광역시강서구(부산)5[애국지사]303
52023-12-31부산광역시강서구(부산)6건국훈장202
62023-12-31부산광역시강서구(부산)7건국포장101
72023-12-31부산광역시강서구(부산)8대통령표창000
82023-12-31부산광역시강서구(부산)9[전몰·전상·순직·공상군경]572266306
92023-12-31부산광역시강서구(부산)10전몰군경49049
기준년월지역명시군구명순서대상구분합계본인유족
8062023-12-31부산광역시해운대구42고엽제후유증2세330
8072023-12-31부산광역시해운대구43[5·18민주유공자]990
8082023-12-31부산광역시해운대구445·18사망자 또는 행불자000
8092023-12-31부산광역시해운대구455·18부상자440
8102023-12-31부산광역시해운대구465·18희생자550
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