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

Description대전광역시 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/15087455/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 5 (9.8%) zerosZeros
본인 has 20 (39.2%) zerosZeros
유족 has 13 (25.5%) zerosZeros

Reproduction

Analysis started2024-03-15 02:22:55.280212
Analysis finished2024-03-15 02:23:00.291861
Duration5.01 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
2024-03-15T11:23:00.391202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:23:00.566506image/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
대전광역시
51 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대전광역시 51
100.0%

Length

2024-03-15T11:23:00.923570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:23:01.259447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 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
2024-03-15T11:23:01.604308image/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
2024-03-15T11:23:01.900695image/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
2024-03-15T11:23:02.723802image/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%
2024-03-15T11:23:03.898980image/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%
Mean792.47059
Minimum0
Maximum7470
Zeros5
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-15T11:23:04.293280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.5
median44
Q3617.5
95-th percentile4605
Maximum7470
Range7470
Interquartile range (IQR)608

Descriptive statistics

Standard deviation1615.2611
Coefficient of variation (CV)2.0382599
Kurtosis6.5603574
Mean792.47059
Median Absolute Deviation (MAD)44
Skewness2.5864959
Sum40416
Variance2609068.3
MonotonicityNot monotonic
2024-03-15T11:23:04.627867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 5
 
9.8%
7 3
 
5.9%
29 2
 
3.9%
186 2
 
3.9%
9 2
 
3.9%
4937 1
 
2.0%
52 1
 
2.0%
8 1
 
2.0%
20 1
 
2.0%
246 1
 
2.0%
Other values (32) 32
62.7%
ValueCountFrequency (%)
0 5
9.8%
1 1
 
2.0%
3 1
 
2.0%
7 3
5.9%
8 1
 
2.0%
9 2
 
3.9%
10 1
 
2.0%
13 1
 
2.0%
14 1
 
2.0%
16 1
 
2.0%
ValueCountFrequency (%)
7470 1
2.0%
5209 1
2.0%
4937 1
2.0%
4273 1
2.0%
4043 1
2.0%
2232 1
2.0%
2023 1
2.0%
1863 1
2.0%
1819 1
2.0%
1374 1
2.0%

본인
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean528.4902
Minimum0
Maximum5209
Zeros20
Zeros (%)39.2%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-15T11:23:05.000764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12
Q3179
95-th percentile3648.5
Maximum5209
Range5209
Interquartile range (IQR)179

Descriptive statistics

Standard deviation1233.9352
Coefficient of variation (CV)2.3348309
Kurtosis7.5099495
Mean528.4902
Median Absolute Deviation (MAD)12
Skewness2.8280919
Sum26953
Variance1522596.2
MonotonicityNot monotonic
2024-03-15T11:23:05.245801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 20
39.2%
179 2
 
3.9%
9 1
 
2.0%
4937 1
 
2.0%
36 1
 
2.0%
22 1
 
2.0%
58 1
 
2.0%
12 1
 
2.0%
19 1
 
2.0%
31 1
 
2.0%
Other values (21) 21
41.2%
ValueCountFrequency (%)
0 20
39.2%
1 1
 
2.0%
2 1
 
2.0%
5 1
 
2.0%
7 1
 
2.0%
9 1
 
2.0%
12 1
 
2.0%
14 1
 
2.0%
16 1
 
2.0%
19 1
 
2.0%
ValueCountFrequency (%)
5209 1
2.0%
4937 1
2.0%
4273 1
2.0%
3024 1
2.0%
1667 1
2.0%
1533 1
2.0%
1491 1
2.0%
1374 1
2.0%
1055 1
2.0%
901 1
2.0%

유족
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct31
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263.98039
Minimum0
Maximum4446
Zeros13
Zeros (%)25.5%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-15T11:23:05.472169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median7
Q384
95-th percentile1364
Maximum4446
Range4446
Interquartile range (IQR)83.5

Descriptive statistics

Standard deviation753.43941
Coefficient of variation (CV)2.8541491
Kurtosis20.453176
Mean263.98039
Median Absolute Deviation (MAD)7
Skewness4.2907713
Sum13463
Variance567670.94
MonotonicityNot monotonic
2024-03-15T11:23:05.687593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 13
25.5%
7 5
 
9.8%
6 2
 
3.9%
1 2
 
3.9%
8 2
 
3.9%
5 2
 
3.9%
2 1
 
2.0%
12 1
 
2.0%
24 1
 
2.0%
63 1
 
2.0%
Other values (21) 21
41.2%
ValueCountFrequency (%)
0 13
25.5%
1 2
 
3.9%
2 1
 
2.0%
4 1
 
2.0%
5 2
 
3.9%
6 2
 
3.9%
7 5
 
9.8%
8 2
 
3.9%
12 1
 
2.0%
16 1
 
2.0%
ValueCountFrequency (%)
4446 1
2.0%
2510 1
2.0%
1837 1
2.0%
891 1
2.0%
764 1
2.0%
543 1
2.0%
532 1
2.0%
513 1
2.0%
399 1
2.0%
196 1
2.0%

Interactions

2024-03-15T11:22:58.431065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:22:55.563436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:22:56.268345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:22:57.358696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:22:58.678032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:22:55.699259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:22:56.516824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:22:57.624564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:22:58.953084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:22:55.855993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:22:56.778903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:22:57.943480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:22:59.202358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:22:56.037677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:22:57.030508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:22:58.196810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T11:23:05.857465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서대상구분합계본인유족
순서1.0000.7700.5470.4690.512
대상구분0.7701.0001.0001.0001.000
합계0.5471.0001.0000.9090.934
본인0.4691.0000.9091.0000.638
유족0.5121.0000.9340.6381.000
2024-03-15T11:23:06.279352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서합계본인유족
순서1.000-0.0490.327-0.515
합계-0.0491.0000.7280.511
본인0.3270.7281.0000.073
유족-0.5150.5110.0731.000

Missing values

2024-03-15T11:22:59.629342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T11:23:00.098391image/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
02023-12-31대전광역시1[순국선열]29029
12023-12-31대전광역시2건국훈장22022
22023-12-31대전광역시3건국포장000
32023-12-31대전광역시4대통령표창707
42023-12-31대전광역시5[애국지사]1860186
52023-12-31대전광역시6건국훈장1010101
62023-12-31대전광역시7건국포장18018
72023-12-31대전광역시8대통령표창67067
82023-12-31대전광역시9[전몰·전상·순직·공상군경]747030244446
92023-12-31대전광역시10전몰군경8910891
기준년월지역명순서대상구분합계본인유족
412023-12-31대전광역시42고엽제후유증2세16160
422023-12-31대전광역시43[5·18민주유공자]38317
432023-12-31대전광역시445·18사망자 또는 행불자000
442023-12-31대전광역시455·18부상자24195
452023-12-31대전광역시465·18희생자14122
462023-12-31대전광역시47[특수임무유공자]825824
472023-12-31대전광역시48특수임무사망자 또는 행불자101
482023-12-31대전광역시49특수임무부상자29227
492023-12-31대전광역시50특수임무공로자523616
502023-12-31대전광역시51중·장기복무제대군인493749370