Overview

Dataset statistics

Number of variables7
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory62.5 B

Variable types

Categorical2
Numeric4
Text1

Dataset

Description전라북도 보훈대상자별 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/15087465/fileData.do

Alerts

기준년월 has constant value ""Constant
지역명 has constant value ""Constant
순서 is highly overall correlated with 유족High correlation
합계 is highly overall correlated with 본인High correlation
본인 is highly overall correlated with 합계High correlation
유족 is highly overall correlated with 순서High correlation
순서 has unique valuesUnique
합계 has 3 (5.9%) zerosZeros
본인 has 19 (37.3%) zerosZeros
유족 has 12 (23.5%) zerosZeros

Reproduction

Analysis started2024-03-14 08:48:58.321739
Analysis finished2024-03-14 08:49:02.271735
Duration3.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size536.0 B
2023-12-31
51 

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 51
100.0%

Length

2024-03-14T17:49:02.478672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:49:02.735744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-31 51
100.0%

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size536.0 B
전라북도
51 

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 51
100.0%

Length

2024-03-14T17:49:02.903414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:49:03.090229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 51
100.0%

순서
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-14T17:49:03.310345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2024-03-14T17:49:03.654242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
51 1
2.0%
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%

대상구분
Text

Distinct48
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size536.0 B
2024-03-14T17:49:04.494800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length6.9411765
Min length4

Characters and Unicode

Total characters354
Distinct characters80
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)88.2%

Sample

1st row[순국선열]
2nd row건국훈장
3rd row건국포장
4th row대통령표창
5th row[애국지사]
ValueCountFrequency (%)
건국훈장 2
 
3.6%
행불자 2
 
3.6%
또는 2
 
3.6%
대통령표창 2
 
3.6%
건국포장 2
 
3.6%
특수임무유공자 1
 
1.8%
참전유공자 1
 
1.8%
특수임무부상자 1
 
1.8%
6.25및월남전쟁 1
 
1.8%
지원공상공무원 1
 
1.8%
Other values (40) 40
72.7%
2024-03-14T17:49:05.607866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
자 21
 
5.9%
공 19
 
5.4%
상 16
 
4.5%
· 14
 
4.0%
무 13
 
3.7%
원 12
 
3.4%
군 11
 
3.1%
[ 10
 
2.8%
] 10
 
2.8%
경 9
 
2.5%
Other values (70) 219
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 281
79.4%
Decimal Number 34
 
9.6%
Other Punctuation 15
 
4.2%
Open Punctuation 10
 
2.8%
Close Punctuation 10
 
2.8%
Space Separator 4
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 21
 
7.5%
공 19
 
6.8%
상 16
 
5.7%
무 13
 
4.6%
원 12
 
4.3%
군 11
 
3.9%
경 9
 
3.2%
전 8
 
2.8%
유 7
 
2.5%
국 7
 
2.5%
Other values (58) 158
56.2%
Decimal Number
ValueCountFrequency (%)
1 9
26.5%
5 6
17.6%
8 5
14.7%
9 4
11.8%
4 4
11.8%
6 3
 
8.8%
2 3
 
8.8%
Other Punctuation
ValueCountFrequency (%)
· 14
93.3%
. 1
 
6.7%
Open Punctuation
ValueCountFrequency (%)
[ 10
100.0%
Close Punctuation
ValueCountFrequency (%)
] 10
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 281
79.4%
Common 73
 
20.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 21
 
7.5%
공 19
 
6.8%
상 16
 
5.7%
무 13
 
4.6%
원 12
 
4.3%
군 11
 
3.9%
경 9
 
3.2%
전 8
 
2.8%
유 7
 
2.5%
국 7
 
2.5%
Other values (58) 158
56.2%
Common
ValueCountFrequency (%)
· 14
19.2%
[ 10
13.7%
] 10
13.7%
1 9
12.3%
5 6
8.2%
8 5
 
6.8%
4
 
5.5%
9 4
 
5.5%
4 4
 
5.5%
6 3
 
4.1%
Other values (2) 4
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 281
79.4%
ASCII 59
 
16.7%
None 14
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
자 21
 
7.5%
공 19
 
6.8%
상 16
 
5.7%
무 13
 
4.6%
원 12
 
4.3%
군 11
 
3.9%
경 9
 
3.2%
전 8
 
2.8%
유 7
 
2.5%
국 7
 
2.5%
Other values (58) 158
56.2%
None
ValueCountFrequency (%)
· 14
100.0%
ASCII
ValueCountFrequency (%)
[ 10
16.9%
] 10
16.9%
1 9
15.3%
5 6
10.2%
8 5
8.5%
4
 
6.8%
9 4
 
6.8%
4 4
 
6.8%
6 3
 
5.1%
2 3
 
5.1%

합계
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct44
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1068.1373
Minimum0
Maximum10976
Zeros3
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-14T17:49:05.923263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5
Q110
median69
Q3740.5
95-th percentile6630
Maximum10976
Range10976
Interquartile range (IQR)730.5

Descriptive statistics

Standard deviation2324.4086
Coefficient of variation (CV)2.1761329
Kurtosis8.5629017
Mean1068.1373
Median Absolute Deviation (MAD)67
Skewness2.9223836
Sum54475
Variance5402875.4
MonotonicityNot monotonic
2024-03-14T17:49:06.161504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
3 3
 
5.9%
4 3
 
5.9%
0 3
 
5.9%
69 2
 
3.9%
8797 1
 
2.0%
11 1
 
2.0%
54 1
 
2.0%
316 1
 
2.0%
68 1
 
2.0%
211 1
 
2.0%
Other values (34) 34
66.7%
ValueCountFrequency (%)
0 3
5.9%
1 1
 
2.0%
2 1
 
2.0%
3 3
5.9%
4 3
5.9%
7 1
 
2.0%
9 1
 
2.0%
11 1
 
2.0%
12 1
 
2.0%
16 1
 
2.0%
ValueCountFrequency (%)
10976 1
2.0%
8797 1
2.0%
6869 1
2.0%
6391 1
2.0%
3065 1
2.0%
2616 1
2.0%
2577 1
2.0%
2443 1
2.0%
2344 1
2.0%
1916 1
2.0%

본인
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean696.09804
Minimum0
Maximum8797
Zeros19
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-14T17:49:06.381017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12
Q3202
95-th percentile3589.5
Maximum8797
Range8797
Interquartile range (IQR)202

Descriptive statistics

Standard deviation1721.4535
Coefficient of variation (CV)2.4730043
Kurtosis12.110941
Mean696.09804
Median Absolute Deviation (MAD)12
Skewness3.3571192
Sum35501
Variance2963402.1
MonotonicityNot monotonic
2024-03-14T17:49:06.586066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 19
37.3%
1 2
 
3.9%
52 2
 
3.9%
208 2
 
3.9%
2616 1
 
2.0%
1916 1
 
2.0%
6869 1
 
2.0%
12 1
 
2.0%
4 1
 
2.0%
16 1
 
2.0%
Other values (20) 20
39.2%
ValueCountFrequency (%)
0 19
37.3%
1 2
 
3.9%
2 1
 
2.0%
3 1
 
2.0%
4 1
 
2.0%
5 1
 
2.0%
12 1
 
2.0%
16 1
 
2.0%
18 1
 
2.0%
35 1
 
2.0%
ValueCountFrequency (%)
8797 1
2.0%
6869 1
2.0%
4114 1
2.0%
3065 1
2.0%
2616 1
2.0%
2212 1
2.0%
1916 1
2.0%
1902 1
2.0%
1415 1
2.0%
776 1
2.0%

유족
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct32
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean372.03922
Minimum0
Maximum6862
Zeros12
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-14T17:49:06.791319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median12
Q3102
95-th percentile1712.5
Maximum6862
Range6862
Interquartile range (IQR)101

Descriptive statistics

Standard deviation1149.6664
Coefficient of variation (CV)3.0901752
Kurtosis22.547787
Mean372.03922
Median Absolute Deviation (MAD)12
Skewness4.5571093
Sum18974
Variance1321732.7
MonotonicityNot monotonic
2024-03-14T17:49:07.288347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 12
23.5%
1 3
 
5.9%
2 3
 
5.9%
3 3
 
5.9%
20 2
 
3.9%
4 2
 
3.9%
12 1
 
2.0%
16 1
 
2.0%
13 1
 
2.0%
490 1
 
2.0%
Other values (22) 22
43.1%
ValueCountFrequency (%)
0 12
23.5%
1 3
 
5.9%
2 3
 
5.9%
3 3
 
5.9%
4 2
 
3.9%
9 1
 
2.0%
11 1
 
2.0%
12 1
 
2.0%
13 1
 
2.0%
16 1
 
2.0%
ValueCountFrequency (%)
6862 1
2.0%
4179 1
2.0%
2046 1
2.0%
1379 1
2.0%
929 1
2.0%
675 1
2.0%
644 1
2.0%
629 1
2.0%
490 1
2.0%
240 1
2.0%

Interactions

2024-03-14T17:49:00.665471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:58.531698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:59.189792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:59.745041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:49:00.910694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:58.771139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:59.326233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:59.961305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:49:01.156604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:58.912117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:59.464076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:49:00.195969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:49:01.395093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:59.039610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:48:59.592884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:49:00.421064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T17:49:07.446525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서대상구분합계본인유족
순서1.0000.7700.4430.4190.264
대상구분0.7701.0001.0001.0001.000
합계0.4431.0001.0000.9810.851
본인0.4191.0000.9811.0000.818
유족0.2641.0000.8510.8181.000
2024-03-14T17:49:07.613058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서합계본인유족
순서1.000-0.0240.294-0.503
합계-0.0241.0000.7480.485
본인0.2940.7481.0000.052
유족-0.5030.4850.0521.000

Missing values

2024-03-14T17:49:01.745870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T17:49:02.123425image/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

기준년월지역명순서대상구분합계본인유족
02023-12-31전라북도1[순국선열]30030
12023-12-31전라북도2건국훈장26026
22023-12-31전라북도3건국포장303
32023-12-31전라북도4대통령표창101
42023-12-31전라북도5[애국지사]2411240
52023-12-31전라북도6건국훈장1360136
62023-12-31전라북도7건국포장20020
72023-12-31전라북도8대통령표창85184
82023-12-31전라북도9[전몰·전상·순직·공상군경]1097641146862
92023-12-31전라북도10전몰군경137901379
기준년월지역명순서대상구분합계본인유족
412023-12-31전라북도42고엽제후유증2세440
422023-12-31전라북도43[5·18민주유공자]13911920
432023-12-31전라북도445·18사망자 또는 행불자404
442023-12-31전라북도455·18부상자655213
452023-12-31전라북도465·18희생자70673
462023-12-31전라북도47[특수임무유공자]695316
472023-12-31전라북도48특수임무사망자 또는 행불자000
482023-12-31전라북도49특수임무부상자22184
492023-12-31전라북도50특수임무공로자473512
502023-12-31전라북도51중·장기복무제대군인306530650