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

DateTime1
Categorical1
Numeric4
Text1

Dataset

Description강원도 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/15087443/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 1 (2.0%) zerosZeros
본인 has 21 (41.2%) zerosZeros
유족 has 8 (15.7%) zerosZeros

Reproduction

Analysis started2024-03-14 08:56:58.050266
Analysis finished2024-03-14 08:57:02.738459
Duration4.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Date

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size536.0 B
Minimum2023-12-31 00:00:00
Maximum2023-12-31 00:00:00
2024-03-14T17:57:02.887225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:57:03.181634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

지역명
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원도 51
100.0%

Length

2024-03-14T17:57:03.532896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:57:03.825920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 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
2024-03-14T17:57:04.159248image/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
2024-03-14T17:57:04.596610image/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
2024-03-14T17:57:05.635606image/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%
2024-03-14T17:57:07.017730image/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 

Distinct45
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1232.5098
Minimum0
Maximum10922
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-14T17:57:07.426913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q112
median59
Q3763.5
95-th percentile7412
Maximum10922
Range10922
Interquartile range (IQR)751.5

Descriptive statistics

Standard deviation2522.0863
Coefficient of variation (CV)2.0463012
Kurtosis5.5945206
Mean1232.5098
Median Absolute Deviation (MAD)58
Skewness2.4757223
Sum62858
Variance6360919.1
MonotonicityNot monotonic
2024-03-14T17:57:08.065993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
16 3
 
5.9%
1 3
 
5.9%
2 2
 
3.9%
12 2
 
3.9%
35 1
 
2.0%
1950 1
 
2.0%
38 1
 
2.0%
333 1
 
2.0%
63 1
 
2.0%
242 1
 
2.0%
Other values (35) 35
68.6%
ValueCountFrequency (%)
0 1
 
2.0%
1 3
5.9%
2 2
3.9%
4 1
 
2.0%
5 1
 
2.0%
6 1
 
2.0%
9 1
 
2.0%
10 1
 
2.0%
11 1
 
2.0%
12 2
3.9%
ValueCountFrequency (%)
10922 1
2.0%
8703 1
2.0%
8118 1
2.0%
6706 1
2.0%
6001 1
2.0%
3946 1
2.0%
3662 1
2.0%
2845 1
2.0%
2496 1
2.0%
1950 1
2.0%

본인
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean835.54902
Minimum0
Maximum8703
Zeros21
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-14T17:57:08.454608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q3220.5
95-th percentile5397.5
Maximum8703
Range8703
Interquartile range (IQR)220.5

Descriptive statistics

Standard deviation1993.7496
Coefficient of variation (CV)2.3861551
Kurtosis8.2700341
Mean835.54902
Median Absolute Deviation (MAD)15
Skewness2.9347134
Sum42613
Variance3975037.4
MonotonicityNot monotonic
2024-03-14T17:57:08.787971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 21
41.2%
15 2
 
3.9%
1950 2
 
3.9%
212 2
 
3.9%
8118 1
 
2.0%
164 1
 
2.0%
61 1
 
2.0%
225 1
 
2.0%
22 1
 
2.0%
37 1
 
2.0%
Other values (18) 18
35.3%
ValueCountFrequency (%)
0 21
41.2%
1 1
 
2.0%
2 1
 
2.0%
3 1
 
2.0%
5 1
 
2.0%
15 2
 
3.9%
22 1
 
2.0%
35 1
 
2.0%
37 1
 
2.0%
47 1
 
2.0%
ValueCountFrequency (%)
8703 1
2.0%
8118 1
2.0%
6706 1
2.0%
4089 1
2.0%
3642 1
2.0%
2139 1
2.0%
1950 2
3.9%
1675 1
2.0%
1494 1
2.0%
503 1
2.0%

유족
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct34
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean396.96078
Minimum0
Maximum6833
Zeros8
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-14T17:57:08.993484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11
Q3125
95-th percentile2243.5
Maximum6833
Range6833
Interquartile range (IQR)123

Descriptive statistics

Standard deviation1169.4534
Coefficient of variation (CV)2.9460174
Kurtosis19.960074
Mean396.96078
Median Absolute Deviation (MAD)11
Skewness4.2731857
Sum20245
Variance1367621.2
MonotonicityNot monotonic
2024-03-14T17:57:09.216773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 8
 
15.7%
2 4
 
7.8%
4 3
 
5.9%
1 3
 
5.9%
3 2
 
3.9%
16 2
 
3.9%
10 2
 
3.9%
35 1
 
2.0%
9 1
 
2.0%
37 1
 
2.0%
Other values (24) 24
47.1%
ValueCountFrequency (%)
0 8
15.7%
1 3
 
5.9%
2 4
7.8%
3 2
 
3.9%
4 3
 
5.9%
6 1
 
2.0%
7 1
 
2.0%
9 1
 
2.0%
10 2
 
3.9%
11 1
 
2.0%
ValueCountFrequency (%)
6833 1
2.0%
3862 1
2.0%
3159 1
2.0%
1328 1
2.0%
1002 1
2.0%
895 1
2.0%
748 1
2.0%
567 1
2.0%
426 1
2.0%
304 1
2.0%

Interactions

2024-03-14T17:57:01.133797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:56:58.283570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:56:59.236789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:57:00.191264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:57:01.382739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:56:58.518180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:56:59.475151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:57:00.428022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:57:01.628945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:56:58.755120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:56:59.709505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:57:00.660781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:57:01.867999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:56:58.984170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:56:59.939318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:57:00.887836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T17:57:09.376339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서대상구분합계본인유족
순서1.0000.7700.4880.3410.661
대상구분0.7701.0001.0001.0001.000
합계0.4881.0001.0000.9330.911
본인0.3411.0000.9331.0000.544
유족0.6611.0000.9110.5441.000
2024-03-14T17:57:09.540084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서합계본인유족
순서1.000-0.0150.332-0.523
합계-0.0151.0000.7410.470
본인0.3320.7411.0000.044
유족-0.5230.4700.0441.000

Missing values

2024-03-14T17:57:02.214840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T17:57:02.591465image/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
02023-12-31강원도1[순국선열]35035
12023-12-31강원도2건국훈장29029
22023-12-31강원도3건국포장202
32023-12-31강원도4대통령표창404
42023-12-31강원도5[애국지사]1640164
52023-12-31강원도6건국훈장97097
62023-12-31강원도7건국포장16016
72023-12-31강원도8대통령표창51051
82023-12-31강원도9[전몰·전상·순직·공상군경]1092240896833
92023-12-31강원도10전몰군경132801328
기준년월지역명순서대상구분합계본인유족
412023-12-31강원도42고엽제후유증2세110
422023-12-31강원도43[5·18민주유공자]41374
432023-12-31강원도445·18사망자 또는 행불자000
442023-12-31강원도455·18부상자16151
452023-12-31강원도465·18희생자25223
462023-12-31강원도47[특수임무유공자]356225131
472023-12-31강원도48특수임무사망자 또는 행불자202
482023-12-31강원도49특수임무부상자716110
492023-12-31강원도50특수임무공로자283164119
502023-12-31강원도51중·장기복무제대군인811881180