Overview

Dataset statistics

Number of variables8
Number of observations918
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory61.1 KiB
Average record size in memory68.1 B

Variable types

DateTime1
Categorical3
Numeric4

Dataset

Description강원특별자치도 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/15098573/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 295 (32.1%) zerosZeros
본인 has 498 (54.2%) zerosZeros
유족 has 481 (52.4%) zerosZeros

Reproduction

Analysis started2024-03-30 07:47:28.436635
Analysis finished2024-03-30 07:47:36.472698
Duration8.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
Minimum2023-12-31 00:00:00
Maximum2023-12-31 00:00:00
2024-03-30T07:47:36.609623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T07:47:37.119522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
강원특별자치도
918 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원특별자치도 918
100.0%

Length

2024-03-30T07:47:37.636739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T07:47:38.017493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 918
100.0%

시군구명
Categorical

Distinct18
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
강릉시
 
51
고성군(강원)
 
51
동해시
 
51
삼척시
 
51
속초시
 
51
Other values (13)
663 

Length

Max length7
Median length3
Mean length3.2222222
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강릉시 51
 
5.6%
고성군(강원) 51
 
5.6%
동해시 51
 
5.6%
삼척시 51
 
5.6%
속초시 51
 
5.6%
양구군 51
 
5.6%
양양군 51
 
5.6%
영월군 51
 
5.6%
원주시 51
 
5.6%
인제군 51
 
5.6%
Other values (8) 408
44.4%

Length

2024-03-30T07:47:38.530402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강릉시 51
 
5.6%
고성군(강원 51
 
5.6%
화천군 51
 
5.6%
홍천군 51
 
5.6%
평창군 51
 
5.6%
태백시 51
 
5.6%
춘천시 51
 
5.6%
철원군 51
 
5.6%
정선군 51
 
5.6%
인제군 51
 
5.6%
Other values (8) 408
44.4%

순서
Real number (ℝ)

HIGH CORRELATION 

Distinct51
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-03-30T07:47:39.137128image/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 deviation14.727625
Coefficient of variation (CV)0.56644712
Kurtosis-1.2009253
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum23868
Variance216.90294
MonotonicityNot monotonic
2024-03-30T07:47:40.332545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 18
 
2.0%
2 18
 
2.0%
29 18
 
2.0%
30 18
 
2.0%
31 18
 
2.0%
32 18
 
2.0%
33 18
 
2.0%
34 18
 
2.0%
35 18
 
2.0%
36 18
 
2.0%
Other values (41) 738
80.4%
ValueCountFrequency (%)
1 18
2.0%
2 18
2.0%
3 18
2.0%
4 18
2.0%
5 18
2.0%
6 18
2.0%
7 18
2.0%
8 18
2.0%
9 18
2.0%
10 18
2.0%
ValueCountFrequency (%)
51 18
2.0%
50 18
2.0%
49 18
2.0%
48 18
2.0%
47 18
2.0%
46 18
2.0%
45 18
2.0%
44 18
2.0%
43 18
2.0%
42 18
2.0%

대상구분
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
건국포장
 
36
대통령표창
 
36
6·18자유상이자
 
18
고엽제후유증
 
18
지원순직군경
 
18
Other values (44)
792 

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 36
 
3.9%
대통령표창 36
 
3.9%
6·18자유상이자 18
 
2.0%
고엽제후유증 18
 
2.0%
지원순직군경 18
 
2.0%
보국수훈자 18
 
2.0%
[애국지사] 18
 
2.0%
건국훈장 18
 
2.0%
[전몰·전상·순직·공상군경] 18
 
2.0%
전몰군경 18
 
2.0%
Other values (39) 702
76.5%

Length

2024-03-30T07:47:41.103957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건국포장 36
 
3.6%
행불자 36
 
3.6%
또는 36
 
3.6%
건국훈장 36
 
3.6%
대통령표창 36
 
3.6%
5·18부상자 18
 
1.8%
참전유공자 18
 
1.8%
순국선열 18
 
1.8%
6.25및월남전쟁 18
 
1.8%
지원공상공무원 18
 
1.8%
Other values (40) 720
72.7%

합계
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct204
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.472767
Minimum0
Maximum2090
Zeros295
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-03-30T07:47:41.513363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q337
95-th percentile352.05
Maximum2090
Range2090
Interquartile range (IQR)37

Descriptive statistics

Standard deviation211.80179
Coefficient of variation (CV)3.0932266
Kurtosis42.982917
Mean68.472767
Median Absolute Deviation (MAD)3
Skewness5.949132
Sum62858
Variance44859.997
MonotonicityNot monotonic
2024-03-30T07:47:42.063293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 295
32.1%
1 100
 
10.9%
2 59
 
6.4%
3 38
 
4.1%
4 31
 
3.4%
5 21
 
2.3%
6 19
 
2.1%
7 16
 
1.7%
9 12
 
1.3%
8 9
 
1.0%
Other values (194) 318
34.6%
ValueCountFrequency (%)
0 295
32.1%
1 100
 
10.9%
2 59
 
6.4%
3 38
 
4.1%
4 31
 
3.4%
5 21
 
2.3%
6 19
 
2.1%
7 16
 
1.7%
8 9
 
1.0%
9 12
 
1.3%
ValueCountFrequency (%)
2090 1
0.1%
2077 1
0.1%
1973 1
0.1%
1901 1
0.1%
1641 1
0.1%
1584 1
0.1%
1567 1
0.1%
1242 1
0.1%
1212 1
0.1%
1175 1
0.1%

본인
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct161
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.41939
Minimum0
Maximum1973
Zeros498
Zeros (%)54.2%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-03-30T07:47:42.752046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311
95-th percentile261.6
Maximum1973
Range1973
Interquartile range (IQR)11

Descriptive statistics

Standard deviation166.96338
Coefficient of variation (CV)3.5968457
Kurtosis61.579798
Mean46.41939
Median Absolute Deviation (MAD)0
Skewness7.0421835
Sum42613
Variance27876.772
MonotonicityNot monotonic
2024-03-30T07:47:44.048969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 498
54.2%
1 62
 
6.8%
2 33
 
3.6%
4 22
 
2.4%
3 21
 
2.3%
6 11
 
1.2%
8 11
 
1.2%
11 8
 
0.9%
5 8
 
0.9%
9 8
 
0.9%
Other values (151) 236
25.7%
ValueCountFrequency (%)
0 498
54.2%
1 62
 
6.8%
2 33
 
3.6%
3 21
 
2.3%
4 22
 
2.4%
5 8
 
0.9%
6 11
 
1.2%
7 7
 
0.8%
8 11
 
1.2%
9 8
 
0.9%
ValueCountFrequency (%)
1973 1
0.1%
1901 1
0.1%
1641 1
0.1%
1584 1
0.1%
1242 1
0.1%
1212 1
0.1%
1175 1
0.1%
877 1
0.1%
835 1
0.1%
790 1
0.1%

유족
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct115
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.053377
Minimum0
Maximum1300
Zeros481
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2024-03-30T07:47:44.705739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile110
Maximum1300
Range1300
Interquartile range (IQR)5

Descriptive statistics

Standard deviation94.065074
Coefficient of variation (CV)4.2653365
Kurtosis97.780508
Mean22.053377
Median Absolute Deviation (MAD)0
Skewness8.8725192
Sum20245
Variance8848.2382
MonotonicityNot monotonic
2024-03-30T07:47:45.179250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 481
52.4%
1 100
 
10.9%
2 48
 
5.2%
3 35
 
3.8%
4 21
 
2.3%
5 18
 
2.0%
6 11
 
1.2%
7 10
 
1.1%
8 8
 
0.9%
17 8
 
0.9%
Other values (105) 178
 
19.4%
ValueCountFrequency (%)
0 481
52.4%
1 100
 
10.9%
2 48
 
5.2%
3 35
 
3.8%
4 21
 
2.3%
5 18
 
2.0%
6 11
 
1.2%
7 10
 
1.1%
8 8
 
0.9%
9 6
 
0.7%
ValueCountFrequency (%)
1300 1
0.1%
1299 1
0.1%
1003 1
0.1%
747 1
0.1%
703 1
0.1%
603 1
0.1%
601 1
0.1%
599 1
0.1%
460 1
0.1%
367 1
0.1%

Interactions

2024-03-30T07:47:33.696466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T07:47:29.412173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T07:47:30.825880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T07:47:32.147164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T07:47:33.976750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T07:47:29.689960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T07:47:31.132380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T07:47:32.526130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T07:47:34.253851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T07:47:30.055128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T07:47:31.479023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T07:47:32.932410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T07:47:34.687290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T07:47:30.425562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T07:47:31.823897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T07:47:33.324425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-30T07:47:45.585334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명순서대상구분합계본인유족
시군구명1.0000.0000.0000.2020.1830.000
순서0.0001.0000.9980.3030.2980.351
대상구분0.0000.9981.0000.6140.5700.614
합계0.2020.3030.6141.0000.8740.914
본인0.1830.2980.5700.8741.0000.489
유족0.0000.3510.6140.9140.4891.000
2024-03-30T07:47:45.983244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대상구분시군구명
대상구분1.0000.000
시군구명0.0001.000
2024-03-30T07:47:46.309608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서합계본인유족시군구명대상구분
순서1.000-0.0360.251-0.4360.0000.957
합계-0.0361.0000.8030.6420.0850.276
본인0.2510.8031.0000.2460.0610.238
유족-0.4360.6420.2461.0000.0000.276
시군구명0.0000.0850.0610.0001.0000.000
대상구분0.9570.2760.2380.2760.0001.000

Missing values

2024-03-30T07:47:35.287353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T07:47:36.164604image/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
02023-12-31강원특별자치도강릉시1[순국선열]303
12023-12-31강원특별자치도강릉시2건국훈장202
22023-12-31강원특별자치도강릉시3건국포장101
32023-12-31강원특별자치도강릉시4대통령표창000
42023-12-31강원특별자치도강릉시5[애국지사]25025
52023-12-31강원특별자치도강릉시6건국훈장16016
62023-12-31강원특별자치도강릉시7건국포장303
72023-12-31강원특별자치도강릉시8대통령표창606
82023-12-31강원특별자치도강릉시9[전몰·전상·순직·공상군경]15675641003
92023-12-31강원특별자치도강릉시10전몰군경1990199
기준년월지역명시군구명순서대상구분합계본인유족
9082023-12-31강원특별자치도횡성군42고엽제후유증2세000
9092023-12-31강원특별자치도횡성군43[5·18민주유공자]110
9102023-12-31강원특별자치도횡성군445·18사망자 또는 행불자000
9112023-12-31강원특별자치도횡성군455·18부상자000
9122023-12-31강원특별자치도횡성군465·18희생자110
9132023-12-31강원특별자치도횡성군47[특수임무유공자]321
9142023-12-31강원특별자치도횡성군48특수임무사망자 또는 행불자000
9152023-12-31강원특별자치도횡성군49특수임무부상자000
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