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

Description대구광역시 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/15087453/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 19 (37.3%) zerosZeros
유족 has 11 (21.6%) zerosZeros

Reproduction

Analysis started2024-03-14 20:16:24.241339
Analysis finished2024-03-14 20:16:29.188963
Duration4.95 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
2024-03-15T05:16:29.321563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:16:29.626642image/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
대구광역시
51 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 51
100.0%

Length

2024-03-15T05:16:29.861587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:16:30.021942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 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
2024-03-15T05:16:30.373289image/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
2024-03-15T05:16:30.829245image/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
2024-03-15T05:16:31.783722image/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%
2024-03-15T05:16:33.343329image/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%
Mean1455.1961
Minimum0
Maximum16691
Zeros3
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-15T05:16:33.830989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5
Q117.5
median68
Q3726
95-th percentile8553
Maximum16691
Range16691
Interquartile range (IQR)708.5

Descriptive statistics

Standard deviation3201.4642
Coefficient of variation (CV)2.2000226
Kurtosis10.811718
Mean1455.1961
Median Absolute Deviation (MAD)67
Skewness3.1125575
Sum74215
Variance10249373
MonotonicityNot monotonic
2024-03-15T05:16:34.375797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 3
 
5.9%
1 3
 
5.9%
9 3
 
5.9%
30 2
 
3.9%
37 1
 
2.0%
15 1
 
2.0%
28 1
 
2.0%
401 1
 
2.0%
76 1
 
2.0%
307 1
 
2.0%
Other values (34) 34
66.7%
ValueCountFrequency (%)
0 3
5.9%
1 3
5.9%
7 1
 
2.0%
9 3
5.9%
12 1
 
2.0%
13 1
 
2.0%
15 1
 
2.0%
20 1
 
2.0%
21 1
 
2.0%
23 1
 
2.0%
ValueCountFrequency (%)
16691 1
2.0%
10036 1
2.0%
9426 1
2.0%
7680 1
2.0%
4627 1
2.0%
4200 1
2.0%
4083 1
2.0%
3555 1
2.0%
3371 1
2.0%
2386 1
2.0%

본인
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct32
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean891.23529
Minimum0
Maximum9426
Zeros19
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-15T05:16:34.724640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median14
Q3222
95-th percentile5429.5
Maximum9426
Range9426
Interquartile range (IQR)222

Descriptive statistics

Standard deviation2054.6068
Coefficient of variation (CV)2.3053472
Kurtosis7.6573078
Mean891.23529
Median Absolute Deviation (MAD)14
Skewness2.7831646
Sum45453
Variance4221409
MonotonicityNot monotonic
2024-03-15T05:16:35.405746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 19
37.3%
161 2
 
3.9%
25 1
 
2.0%
9426 1
 
2.0%
1709 1
 
2.0%
7680 1
 
2.0%
37 1
 
2.0%
3371 1
 
2.0%
32 1
 
2.0%
283 1
 
2.0%
Other values (22) 22
43.1%
ValueCountFrequency (%)
0 19
37.3%
1 1
 
2.0%
2 1
 
2.0%
3 1
 
2.0%
9 1
 
2.0%
10 1
 
2.0%
13 1
 
2.0%
14 1
 
2.0%
18 1
 
2.0%
25 1
 
2.0%
ValueCountFrequency (%)
9426 1
2.0%
7680 1
2.0%
6232 1
2.0%
4627 1
2.0%
3635 1
2.0%
3371 1
2.0%
2597 1
2.0%
2511 1
2.0%
1709 1
2.0%
1525 1
2.0%

유족
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct34
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean563.96078
Minimum0
Maximum10459
Zeros11
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-15T05:16:35.829689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median13
Q3130
95-th percentile2992.5
Maximum10459
Range10459
Interquartile range (IQR)129

Descriptive statistics

Standard deviation1775.1123
Coefficient of variation (CV)3.1475811
Kurtosis21.449612
Mean563.96078
Median Absolute Deviation (MAD)13
Skewness4.4524452
Sum28762
Variance3151023.6
MonotonicityNot monotonic
2024-03-15T05:16:36.278839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 11
21.6%
1 4
 
7.8%
6 4
 
7.8%
24 2
 
3.9%
109 1
 
2.0%
126 1
 
2.0%
10 1
 
2.0%
35 1
 
2.0%
13 1
 
2.0%
15 1
 
2.0%
Other values (24) 24
47.1%
ValueCountFrequency (%)
0 11
21.6%
1 4
 
7.8%
4 1
 
2.0%
5 1
 
2.0%
6 4
 
7.8%
9 1
 
2.0%
10 1
 
2.0%
11 1
 
2.0%
12 1
 
2.0%
13 1
 
2.0%
ValueCountFrequency (%)
10459 1
2.0%
6401 1
2.0%
3599 1
2.0%
2386 1
2.0%
1572 1
2.0%
958 1
2.0%
714 1
2.0%
577 1
2.0%
451 1
2.0%
410 1
2.0%

Interactions

2024-03-15T05:16:27.539912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:16:24.512443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:16:25.520772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:16:26.590354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:16:27.787615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:16:24.792787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:16:25.766595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:16:26.824429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:16:28.041687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:16:25.063604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:16:26.101226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:16:27.077376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:16:28.277049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:16:25.330943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:16:26.339546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T05:16:27.306280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T05:16:36.438468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서대상구분합계본인유족
순서1.0000.7700.4280.4130.236
대상구분0.7701.0001.0001.0001.000
합계0.4281.0001.0000.9530.838
본인0.4131.0000.9531.0000.754
유족0.2361.0000.8380.7541.000
2024-03-15T05:16:36.615872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서합계본인유족
순서1.000-0.0800.323-0.542
합계-0.0801.0000.6880.510
본인0.3230.6881.0000.025
유족-0.5420.5100.0251.000

Missing values

2024-03-15T05:16:28.609313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:16:29.086376image/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
02023-12-31대구광역시1[순국선열]30030
12023-12-31대구광역시2건국훈장29029
22023-12-31대구광역시3건국포장000
32023-12-31대구광역시4대통령표창101
42023-12-31대구광역시5[애국지사]4100410
52023-12-31대구광역시6건국훈장2140214
62023-12-31대구광역시7건국포장62062
72023-12-31대구광역시8대통령표창1340134
82023-12-31대구광역시9[전몰·전상·순직·공상군경]16691623210459
92023-12-31대구광역시10전몰군경238602386
기준년월지역명순서대상구분합계본인유족
412023-12-31대구광역시42고엽제후유증2세25250
422023-12-31대구광역시43[5·18민주유공자]443212
432023-12-31대구광역시445·18사망자 또는 행불자101
442023-12-31대구광역시455·18부상자23185
452023-12-31대구광역시465·18희생자20146
462023-12-31대구광역시47[특수임무유공자]13511124
472023-12-31대구광역시48특수임무사망자 또는 행불자101
482023-12-31대구광역시49특수임무부상자68644
492023-12-31대구광역시50특수임무공로자664719
502023-12-31대구광역시51중·장기복무제대군인462746270