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

Description충청남도 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/15098587/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 본인 and 1 other fieldsHigh correlation
본인 is highly overall correlated with 합계High correlation
유족 is highly overall correlated with 순서 and 1 other fieldsHigh correlation
순서 has unique valuesUnique
합계 has 3 (5.9%) zerosZeros
본인 has 20 (39.2%) zerosZeros
유족 has 10 (19.6%) zerosZeros

Reproduction

Analysis started2024-03-14 23:59:38.982201
Analysis finished2024-03-14 23:59:44.291699
Duration5.31 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
2024-03-15T08:59:44.447757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:59:44.746469image/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
충청남도
51 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청남도 51
100.0%

Length

2024-03-15T08:59:45.096336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:59:45.406820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 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
2024-03-15T08:59:45.759988image/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
2024-03-15T08:59:46.204453image/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
2024-03-15T08:59:47.116308image/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%
2024-03-15T08:59:48.500154image/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 

Distinct42
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1104.0588
Minimum0
Maximum9923
Zeros3
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-15T08:59:48.915766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5
Q110
median74
Q3626
95-th percentile6268
Maximum9923
Range9923
Interquartile range (IQR)616

Descriptive statistics

Standard deviation2302.8023
Coefficient of variation (CV)2.0857605
Kurtosis6.7692606
Mean1104.0588
Median Absolute Deviation (MAD)69
Skewness2.6565317
Sum56307
Variance5302898.5
MonotonicityNot monotonic
2024-03-15T08:59:49.307001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
8 4
 
7.8%
0 3
 
5.9%
23 3
 
5.9%
7 2
 
3.9%
25 2
 
3.9%
31 1
 
2.0%
19 1
 
2.0%
74 1
 
2.0%
232 1
 
2.0%
15 1
 
2.0%
Other values (32) 32
62.7%
ValueCountFrequency (%)
0 3
5.9%
1 1
 
2.0%
2 1
 
2.0%
5 1
 
2.0%
6 1
 
2.0%
7 2
3.9%
8 4
7.8%
12 1
 
2.0%
15 1
 
2.0%
16 1
 
2.0%
ValueCountFrequency (%)
9923 1
2.0%
9285 1
2.0%
6981 1
2.0%
5555 1
2.0%
5026 1
2.0%
2978 1
2.0%
2544 1
2.0%
2422 1
2.0%
2285 1
2.0%
2104 1
2.0%

본인
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean759.05882
Minimum0
Maximum9285
Zeros20
Zeros (%)39.2%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-15T08:59:49.552509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q3175
95-th percentile4519
Maximum9285
Range9285
Interquartile range (IQR)175

Descriptive statistics

Standard deviation1847.6014
Coefficient of variation (CV)2.4340688
Kurtosis10.848235
Mean759.05882
Median Absolute Deviation (MAD)8
Skewness3.1971274
Sum38712
Variance3413631.1
MonotonicityNot monotonic
2024-03-15T08:59:49.766629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 20
39.2%
3 2
 
3.9%
148 2
 
3.9%
9285 1
 
2.0%
5026 1
 
2.0%
76 1
 
2.0%
30 1
 
2.0%
106 1
 
2.0%
18 1
 
2.0%
9 1
 
2.0%
Other values (20) 20
39.2%
ValueCountFrequency (%)
0 20
39.2%
1 1
 
2.0%
3 2
 
3.9%
6 1
 
2.0%
7 1
 
2.0%
8 1
 
2.0%
9 1
 
2.0%
18 1
 
2.0%
19 1
 
2.0%
20 1
 
2.0%
ValueCountFrequency (%)
9285 1
2.0%
6981 1
2.0%
5026 1
2.0%
4012 1
2.0%
2285 1
2.0%
2151 1
2.0%
2046 1
2.0%
1933 1
2.0%
1861 1
2.0%
1475 1
2.0%

유족
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct32
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean345
Minimum0
Maximum5911
Zeros10
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-15T08:59:49.982797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median15
Q3119
95-th percentile1849
Maximum5911
Range5911
Interquartile range (IQR)117

Descriptive statistics

Standard deviation1006.5
Coefficient of variation (CV)2.9173913
Kurtosis20.361668
Mean345
Median Absolute Deviation (MAD)15
Skewness4.3098478
Sum17595
Variance1013042.2
MonotonicityNot monotonic
2024-03-15T08:59:50.315145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 10
19.6%
2 3
 
5.9%
23 3
 
5.9%
7 3
 
5.9%
8 2
 
3.9%
6 2
 
3.9%
1 2
 
3.9%
15 2
 
3.9%
5 1
 
2.0%
22 1
 
2.0%
Other values (22) 22
43.1%
ValueCountFrequency (%)
0 10
19.6%
1 2
 
3.9%
2 3
 
5.9%
3 1
 
2.0%
4 1
 
2.0%
5 1
 
2.0%
6 2
 
3.9%
7 3
 
5.9%
8 2
 
3.9%
15 2
 
3.9%
ValueCountFrequency (%)
5911 1
2.0%
3404 1
2.0%
2543 1
2.0%
1155 1
2.0%
947 1
2.0%
683 1
2.0%
669 1
2.0%
435 1
2.0%
384 1
2.0%
327 1
2.0%

Interactions

2024-03-15T08:59:42.549880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:59:39.280043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:59:40.341639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:59:41.448909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:59:42.815078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:59:39.517910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:59:40.625447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:59:41.720173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:59:43.102958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:59:39.756148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:59:40.868831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:59:41.990128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:59:43.352729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:59:40.082897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:59:41.115367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:59:42.291842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T08:59:50.503731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서대상구분합계본인유족
순서1.0000.7700.3670.3710.661
대상구분0.7701.0001.0001.0001.000
합계0.3671.0001.0000.9670.836
본인0.3711.0000.9671.0000.683
유족0.6611.0000.8360.6831.000
2024-03-15T08:59:50.765373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서합계본인유족
순서1.000-0.0670.342-0.515
합계-0.0671.0000.7000.507
본인0.3420.7001.0000.018
유족-0.5150.5070.0181.000

Missing values

2024-03-15T08:59:43.727824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:59:44.130303image/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
02023-12-31충청남도1[순국선열]31031
12023-12-31충청남도2건국훈장23023
22023-12-31충청남도3건국포장000
32023-12-31충청남도4대통령표창808
42023-12-31충청남도5[애국지사]3840384
52023-12-31충청남도6건국훈장1180118
62023-12-31충청남도7건국포장23023
72023-12-31충청남도8대통령표창2430243
82023-12-31충청남도9[전몰·전상·순직·공상군경]992340125911
92023-12-31충청남도10전몰군경115501155
기준년월지역명순서대상구분합계본인유족
412023-12-31충청남도42고엽제후유증2세880
422023-12-31충청남도43[5·18민주유공자]422715
432023-12-31충청남도445·18사망자 또는 행불자101
442023-12-31충청남도455·18부상자1697
452023-12-31충청남도465·18희생자25187
462023-12-31충청남도47[특수임무유공자]13410628
472023-12-31충청남도48특수임무사망자 또는 행불자202
482023-12-31충청남도49특수임무부상자32302
492023-12-31충청남도50특수임무공로자1007624
502023-12-31충청남도51중·장기복무제대군인502650260