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

Description울산광역시 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/15087460/fileData.do

Alerts

기준년월 has constant value ""Constant
지역명 has constant value ""Constant
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
순서 has unique valuesUnique
합계 has 3 (5.9%) zerosZeros
본인 has 24 (47.1%) zerosZeros
유족 has 12 (23.5%) zerosZeros

Reproduction

Analysis started2024-03-14 10:54:45.904496
Analysis finished2024-03-14 10:54:50.941356
Duration5.04 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

2024-03-14T19:54:51.148206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:54:51.434721image/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
울산광역시
51 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울산광역시 51
100.0%

Length

2024-03-14T19:54:51.605717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:54:51.765161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 51
100.0%

순서
Real number (ℝ)

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
2024-03-14T19:54:51.952819image/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
2024-03-14T19:54:52.208725image/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
2024-03-14T19:54:53.052649image/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%
2024-03-14T19:54:54.112706image/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 

Distinct37
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean514.82353
Minimum0
Maximum6134
Zeros3
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-14T19:54:54.339045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5
Q13
median28
Q3160
95-th percentile3431
Maximum6134
Range6134
Interquartile range (IQR)157

Descriptive statistics

Standard deviation1204.0352
Coefficient of variation (CV)2.3387338
Kurtosis10.408959
Mean514.82353
Median Absolute Deviation (MAD)27
Skewness3.125013
Sum26256
Variance1449700.7
MonotonicityNot monotonic
2024-03-14T19:54:54.565736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 7
 
13.7%
3 4
 
7.8%
0 3
 
5.9%
6 3
 
5.9%
8 2
 
3.9%
7 1
 
2.0%
163 1
 
2.0%
28 1
 
2.0%
128 1
 
2.0%
3657 1
 
2.0%
Other values (27) 27
52.9%
ValueCountFrequency (%)
0 3
5.9%
1 7
13.7%
3 4
7.8%
4 1
 
2.0%
5 1
 
2.0%
6 3
5.9%
7 1
 
2.0%
8 2
 
3.9%
10 1
 
2.0%
19 1
 
2.0%
ValueCountFrequency (%)
6134 1
2.0%
3786 1
2.0%
3657 1
2.0%
3205 1
2.0%
1691 1
2.0%
1529 1
2.0%
1325 1
2.0%
1159 1
2.0%
1041 1
2.0%
803 1
2.0%

본인
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean318.5098
Minimum0
Maximum3657
Zeros24
Zeros (%)47.1%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-14T19:54:54.886920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q381.5
95-th percentile1909
Maximum3657
Range3657
Interquartile range (IQR)81.5

Descriptive statistics

Standard deviation790.00112
Coefficient of variation (CV)2.4803039
Kurtosis9.3163786
Mean318.5098
Median Absolute Deviation (MAD)1
Skewness3.0535255
Sum16244
Variance624101.77
MonotonicityNot monotonic
2024-03-14T19:54:55.279073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 24
47.1%
27 2
 
3.9%
6 2
 
3.9%
1 2
 
3.9%
1104 1
 
2.0%
180 1
 
2.0%
1041 1
 
2.0%
21 1
 
2.0%
29 1
 
2.0%
50 1
 
2.0%
Other values (15) 15
29.4%
ValueCountFrequency (%)
0 24
47.1%
1 2
 
3.9%
6 2
 
3.9%
7 1
 
2.0%
9 1
 
2.0%
15 1
 
2.0%
21 1
 
2.0%
27 2
 
3.9%
29 1
 
2.0%
35 1
 
2.0%
ValueCountFrequency (%)
3657 1
2.0%
3205 1
2.0%
2412 1
2.0%
1406 1
2.0%
1159 1
2.0%
1104 1
2.0%
1041 1
2.0%
1006 1
2.0%
445 1
2.0%
180 1
2.0%

유족
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196.31373
Minimum0
Maximum3722
Zeros12
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-14T19:54:55.651320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q334
95-th percentile1076
Maximum3722
Range3722
Interquartile range (IQR)33

Descriptive statistics

Standard deviation641.11264
Coefficient of variation (CV)3.2657556
Kurtosis20.735838
Mean196.31373
Median Absolute Deviation (MAD)4
Skewness4.4060059
Sum10012
Variance411025.42
MonotonicityNot monotonic
2024-03-14T19:54:56.044730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 12
23.5%
1 6
 
11.8%
3 4
 
7.8%
4 3
 
5.9%
8 2
 
3.9%
6 2
 
3.9%
13 2
 
3.9%
17 1
 
2.0%
2 1
 
2.0%
15 1
 
2.0%
Other values (17) 17
33.3%
ValueCountFrequency (%)
0 12
23.5%
1 6
11.8%
2 1
 
2.0%
3 4
 
7.8%
4 3
 
5.9%
5 1
 
2.0%
6 2
 
3.9%
8 2
 
3.9%
13 2
 
3.9%
15 1
 
2.0%
ValueCountFrequency (%)
3722 1
2.0%
2380 1
2.0%
1349 1
2.0%
803 1
2.0%
587 1
2.0%
319 1
2.0%
220 1
2.0%
129 1
2.0%
91 1
2.0%
75 1
2.0%

Interactions

2024-03-14T19:54:49.331376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:54:46.124738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:54:47.121293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:54:48.329277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:54:49.573729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:54:46.362196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:54:47.366137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:54:48.571902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:54:49.822840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:54:46.613207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:54:47.614383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:54:48.821468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:54:50.075519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:54:46.868082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:54:47.871928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:54:49.076899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:54:56.303966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서대상구분합계본인유족
순서1.0000.7700.6210.3670.236
대상구분0.7701.0001.0001.0001.000
합계0.6211.0001.0000.8550.970
본인0.3671.0000.8551.0000.682
유족0.2361.0000.9700.6821.000
2024-03-14T19:54:56.566571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서합계본인유족
순서1.000-0.0410.334-0.490
합계-0.0411.0000.7570.552
본인0.3340.7571.0000.114
유족-0.4900.5520.1141.000

Missing values

2024-03-14T19:54:50.425023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:54:50.800724image/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
02023-12-31울산광역시1[순국선열]808
12023-12-31울산광역시2건국훈장505
22023-12-31울산광역시3건국포장000
32023-12-31울산광역시4대통령표창303
42023-12-31울산광역시5[애국지사]75075
52023-12-31울산광역시6건국훈장42042
62023-12-31울산광역시7건국포장606
72023-12-31울산광역시8대통령표창27027
82023-12-31울산광역시9[전몰·전상·순직·공상군경]613424123722
92023-12-31울산광역시10전몰군경8030803
기준년월지역명순서대상구분합계본인유족
412023-12-31울산광역시42고엽제후유증2세110
422023-12-31울산광역시43[5·18민주유공자]19154
432023-12-31울산광역시445·18사망자 또는 행불자101
442023-12-31울산광역시455·18부상자862
452023-12-31울산광역시465·18희생자1091
462023-12-31울산광역시47[특수임무유공자]675017
472023-12-31울산광역시48특수임무사망자 또는 행불자000
482023-12-31울산광역시49특수임무부상자33294
492023-12-31울산광역시50특수임무공로자342113
502023-12-31울산광역시51중·장기복무제대군인104110410