Overview

Dataset statistics

Number of variables8
Number of observations765
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory50.9 KiB
Average record size in memory68.2 B

Variable types

Categorical4
Numeric4

Dataset

Description전라북도 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/15098585/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 234 (30.6%) zerosZeros
본인 has 408 (53.3%) zerosZeros
유족 has 402 (52.5%) zerosZeros

Reproduction

Analysis started2024-03-16 04:15:10.802881
Analysis finished2024-03-16 04:15:14.285285
Duration3.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-31
765 

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 (%)
2023-12-31 765
100.0%

Length

2024-03-16T13:15:14.372137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:15:14.528477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-31 765
100.0%

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
전라북도
765 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라북도 765
100.0%

Length

2024-03-16T13:15:14.737190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:15:14.870164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 765
100.0%

시군구명
Categorical

Distinct15
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
고창군
 
51
군산시
 
51
김제시
 
51
남원시
 
51
무주군
 
51
Other values (10)
510 

Length

Max length7
Median length3
Mean length3.5333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고창군 51
 
6.7%
군산시 51
 
6.7%
김제시 51
 
6.7%
남원시 51
 
6.7%
무주군 51
 
6.7%
부안군 51
 
6.7%
순창군 51
 
6.7%
완주군 51
 
6.7%
익산시 51
 
6.7%
임실군 51
 
6.7%
Other values (5) 255
33.3%

Length

2024-03-16T13:15:15.056355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 102
 
11.8%
고창군 51
 
5.9%
군산시 51
 
5.9%
김제시 51
 
5.9%
남원시 51
 
5.9%
무주군 51
 
5.9%
부안군 51
 
5.9%
순창군 51
 
5.9%
완주군 51
 
5.9%
익산시 51
 
5.9%
Other values (6) 306
35.3%

순서
Real number (ℝ)

HIGH CORRELATION 

Distinct51
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-03-16T13:15:15.327204image/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 deviation14.729232
Coefficient of variation (CV)0.56650891
Kurtosis-1.200925
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum19890
Variance216.95026
MonotonicityNot monotonic
2024-03-16T13:15:15.556288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 15
 
2.0%
2 15
 
2.0%
29 15
 
2.0%
30 15
 
2.0%
31 15
 
2.0%
32 15
 
2.0%
33 15
 
2.0%
34 15
 
2.0%
35 15
 
2.0%
36 15
 
2.0%
Other values (41) 615
80.4%
ValueCountFrequency (%)
1 15
2.0%
2 15
2.0%
3 15
2.0%
4 15
2.0%
5 15
2.0%
6 15
2.0%
7 15
2.0%
8 15
2.0%
9 15
2.0%
10 15
2.0%
ValueCountFrequency (%)
51 15
2.0%
50 15
2.0%
49 15
2.0%
48 15
2.0%
47 15
2.0%
46 15
2.0%
45 15
2.0%
44 15
2.0%
43 15
2.0%
42 15
2.0%

대상구분
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
건국포장
 
30
대통령표창
 
30
6·18자유상이자
 
15
고엽제후유증
 
15
지원순직군경
 
15
Other values (44)
660 

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 30
 
3.9%
대통령표창 30
 
3.9%
6·18자유상이자 15
 
2.0%
고엽제후유증 15
 
2.0%
지원순직군경 15
 
2.0%
보국수훈자 15
 
2.0%
[애국지사] 15
 
2.0%
건국훈장 15
 
2.0%
[전몰·전상·순직·공상군경] 15
 
2.0%
전몰군경 15
 
2.0%
Other values (39) 585
76.5%

Length

2024-03-16T13:15:15.859108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건국포장 30
 
3.6%
행불자 30
 
3.6%
또는 30
 
3.6%
건국훈장 30
 
3.6%
대통령표창 30
 
3.6%
5·18부상자 15
 
1.8%
참전유공자 15
 
1.8%
순국선열 15
 
1.8%
6.25및월남전쟁 15
 
1.8%
지원공상공무원 15
 
1.8%
Other values (40) 600
72.7%

합계
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct172
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.20915
Minimum0
Maximum1868
Zeros234
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-03-16T13:15:16.109474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q336
95-th percentile400.6
Maximum1868
Range1868
Interquartile range (IQR)36

Descriptive statistics

Standard deviation197.17892
Coefficient of variation (CV)2.769011
Kurtosis27.204831
Mean71.20915
Median Absolute Deviation (MAD)3
Skewness4.7528488
Sum54475
Variance38879.527
MonotonicityNot monotonic
2024-03-16T13:15:16.381052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 234
30.6%
1 78
 
10.2%
2 43
 
5.6%
3 38
 
5.0%
4 30
 
3.9%
6 16
 
2.1%
5 16
 
2.1%
14 13
 
1.7%
7 12
 
1.6%
10 10
 
1.3%
Other values (162) 275
35.9%
ValueCountFrequency (%)
0 234
30.6%
1 78
 
10.2%
2 43
 
5.6%
3 38
 
5.0%
4 30
 
3.9%
5 16
 
2.1%
6 16
 
2.1%
7 12
 
1.6%
8 6
 
0.8%
9 6
 
0.8%
ValueCountFrequency (%)
1868 1
0.1%
1509 1
0.1%
1500 1
0.1%
1410 1
0.1%
1302 1
0.1%
1192 1
0.1%
1171 1
0.1%
1119 1
0.1%
1026 1
0.1%
1010 1
0.1%

본인
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct145
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.406536
Minimum0
Maximum1302
Zeros408
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-03-16T13:15:16.573452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q312
95-th percentile271.8
Maximum1302
Range1302
Interquartile range (IQR)12

Descriptive statistics

Standard deviation145.09558
Coefficient of variation (CV)3.1266196
Kurtosis30.892035
Mean46.406536
Median Absolute Deviation (MAD)0
Skewness5.1122355
Sum35501
Variance21052.728
MonotonicityNot monotonic
2024-03-16T13:15:16.828492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 408
53.3%
1 42
 
5.5%
2 32
 
4.2%
4 23
 
3.0%
3 19
 
2.5%
7 11
 
1.4%
9 8
 
1.0%
6 8
 
1.0%
5 7
 
0.9%
8 6
 
0.8%
Other values (135) 201
26.3%
ValueCountFrequency (%)
0 408
53.3%
1 42
 
5.5%
2 32
 
4.2%
3 19
 
2.5%
4 23
 
3.0%
5 7
 
0.9%
6 8
 
1.0%
7 11
 
1.4%
8 6
 
0.8%
9 8
 
1.0%
ValueCountFrequency (%)
1302 1
0.1%
1192 1
0.1%
1171 1
0.1%
1119 1
0.1%
1026 1
0.1%
1000 1
0.1%
982 1
0.1%
860 1
0.1%
733 1
0.1%
680 1
0.1%

유족
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct111
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.802614
Minimum0
Maximum1135
Zeros402
Zeros (%)52.5%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2024-03-16T13:15:17.081857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile135.4
Maximum1135
Range1135
Interquartile range (IQR)5

Descriptive statistics

Standard deviation94.416181
Coefficient of variation (CV)3.8067028
Kurtosis58.678711
Mean24.802614
Median Absolute Deviation (MAD)0
Skewness6.935955
Sum18974
Variance8914.4152
MonotonicityNot monotonic
2024-03-16T13:15:17.665217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 402
52.5%
1 79
 
10.3%
2 39
 
5.1%
3 28
 
3.7%
4 21
 
2.7%
5 13
 
1.7%
7 12
 
1.6%
14 8
 
1.0%
8 7
 
0.9%
6 6
 
0.8%
Other values (101) 150
 
19.6%
ValueCountFrequency (%)
0 402
52.5%
1 79
 
10.3%
2 39
 
5.1%
3 28
 
3.7%
4 21
 
2.7%
5 13
 
1.7%
6 6
 
0.8%
7 12
 
1.6%
8 7
 
0.9%
9 2
 
0.3%
ValueCountFrequency (%)
1135 1
0.1%
903 1
0.1%
891 1
0.1%
857 1
0.1%
658 1
0.1%
592 1
0.1%
532 1
0.1%
531 2
0.3%
395 1
0.1%
382 1
0.1%

Interactions

2024-03-16T13:15:13.255618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:11.267780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:11.933877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:12.611670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:13.393981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:11.456520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:12.075997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:12.749462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:13.585562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:11.636722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:12.257221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:12.904489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:13.767246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:11.784260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:12.478810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:15:13.093405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:15:17.807781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명순서대상구분합계본인유족
시군구명1.0000.0000.0000.1140.0000.000
순서0.0001.0000.9980.4560.5020.338
대상구분0.0000.9981.0000.6530.6290.656
합계0.1140.4560.6531.0000.9560.906
본인0.0000.5020.6290.9561.0000.706
유족0.0000.3380.6560.9060.7061.000
2024-03-16T13:15:17.968296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명대상구분
시군구명1.0000.000
대상구분0.0001.000
2024-03-16T13:15:18.140550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서합계본인유족시군구명대상구분
순서1.000-0.0560.241-0.4620.0000.952
합계-0.0561.0000.7890.6160.0420.276
본인0.2410.7891.0000.1960.0000.260
유족-0.4620.6160.1961.0000.0000.304
시군구명0.0000.0420.0000.0001.0000.000
대상구분0.9520.2760.2600.3040.0001.000

Missing values

2024-03-16T13:15:13.973319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:15:14.224208image/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
02023-12-31전라북도고창군1[순국선열]101
12023-12-31전라북도고창군2건국훈장101
22023-12-31전라북도고창군3건국포장000
32023-12-31전라북도고창군4대통령표창000
42023-12-31전라북도고창군5[애국지사]10010
52023-12-31전라북도고창군6건국훈장707
62023-12-31전라북도고창군7건국포장202
72023-12-31전라북도고창군8대통령표창101
82023-12-31전라북도고창군9[전몰·전상·순직·공상군경]493165328
92023-12-31전라북도고창군10전몰군경73073
기준년월지역명시군구명순서대상구분합계본인유족
7552023-12-31전라북도진안군42고엽제후유증2세000
7562023-12-31전라북도진안군43[5·18민주유공자]330
7572023-12-31전라북도진안군445·18사망자 또는 행불자000
7582023-12-31전라북도진안군455·18부상자000
7592023-12-31전라북도진안군465·18희생자330
7602023-12-31전라북도진안군47[특수임무유공자]000
7612023-12-31전라북도진안군48특수임무사망자 또는 행불자000
7622023-12-31전라북도진안군49특수임무부상자000
7632023-12-31전라북도진안군50특수임무공로자000
7642023-12-31전라북도진안군51중·장기복무제대군인49490