Overview

Dataset statistics

Number of variables8
Number of observations1275
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory84.8 KiB
Average record size in memory68.1 B

Variable types

Categorical4
Numeric4

Dataset

Description경상북도 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/15098576/fileData.do

Alerts

기준년월 has constant value ""Constant
지역명 has constant value ""Constant
순서 is highly overall correlated with 대상구분High 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 합계High correlation
대상구분 is highly overall correlated with 순서High correlation
합계 has 460 (36.1%) zerosZeros
본인 has 735 (57.6%) zerosZeros
유족 has 712 (55.8%) zerosZeros

Reproduction

Analysis started2024-03-16 04:12:54.009247
Analysis finished2024-03-16 04:12:58.100177
Duration4.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
2023-12-31
1275 

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 1275
100.0%

Length

2024-03-16T13:12:58.194365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:12:58.331654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-31 1275
100.0%

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
경상북도
1275 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상북도 1275
100.0%

Length

2024-03-16T13:12:58.509942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:12:58.664249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 1275
100.0%

시군구명
Categorical

Distinct25
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
경산시
 
51
경주시
 
51
고령군
 
51
구미시
 
51
군위군
 
51
Other values (20)
1020 

Length

Max length7
Median length3
Mean length3.52
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경산시 51
 
4.0%
경주시 51
 
4.0%
고령군 51
 
4.0%
구미시 51
 
4.0%
군위군 51
 
4.0%
김천시 51
 
4.0%
대구시 중구 51
 
4.0%
문경시 51
 
4.0%
봉화군 51
 
4.0%
상주시 51
 
4.0%
Other values (15) 765
60.0%

Length

2024-03-16T13:12:58.837431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
포항시 102
 
7.1%
경산시 51
 
3.6%
영양군 51
 
3.6%
남구 51
 
3.6%
칠곡군 51
 
3.6%
청송군 51
 
3.6%
청도군 51
 
3.6%
의성군 51
 
3.6%
울진군(경북 51
 
3.6%
울릉군 51
 
3.6%
Other values (17) 867
60.7%

순서
Real number (ℝ)

HIGH CORRELATION 

Distinct51
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-03-16T13:12:59.095485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q113
median26
Q339
95-th percentile49
Maximum51
Range50
Interquartile range (IQR)26

Descriptive statistics

Standard deviation14.725377
Coefficient of variation (CV)0.56636066
Kurtosis-1.2009252
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum33150
Variance216.83673
MonotonicityNot monotonic
2024-03-16T13:12:59.288639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 25
 
2.0%
2 25
 
2.0%
29 25
 
2.0%
30 25
 
2.0%
31 25
 
2.0%
32 25
 
2.0%
33 25
 
2.0%
34 25
 
2.0%
35 25
 
2.0%
36 25
 
2.0%
Other values (41) 1025
80.4%
ValueCountFrequency (%)
1 25
2.0%
2 25
2.0%
3 25
2.0%
4 25
2.0%
5 25
2.0%
6 25
2.0%
7 25
2.0%
8 25
2.0%
9 25
2.0%
10 25
2.0%
ValueCountFrequency (%)
51 25
2.0%
50 25
2.0%
49 25
2.0%
48 25
2.0%
47 25
2.0%
46 25
2.0%
45 25
2.0%
44 25
2.0%
43 25
2.0%
42 25
2.0%

대상구분
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
건국포장
 
50
대통령표창
 
50
6·18자유상이자
 
25
고엽제후유증
 
25
지원순직군경
 
25
Other values (44)
1100 

Length

Max length15
Median length11
Mean length7
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[순국선열]
2nd row건국훈장
3rd row건국포장
4th row대통령표창
5th row[애국지사]

Common Values

ValueCountFrequency (%)
건국포장 50
 
3.9%
대통령표창 50
 
3.9%
6·18자유상이자 25
 
2.0%
고엽제후유증 25
 
2.0%
지원순직군경 25
 
2.0%
보국수훈자 25
 
2.0%
[애국지사] 25
 
2.0%
건국훈장 25
 
2.0%
[전몰·전상·순직·공상군경] 25
 
2.0%
전몰군경 25
 
2.0%
Other values (39) 975
76.5%

Length

2024-03-16T13:12:59.472057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건국포장 50
 
3.6%
행불자 50
 
3.6%
또는 50
 
3.6%
건국훈장 50
 
3.6%
대통령표창 50
 
3.6%
5·18부상자 25
 
1.8%
참전유공자 25
 
1.8%
순국선열 25
 
1.8%
6.25및월남전쟁 25
 
1.8%
지원공상공무원 25
 
1.8%
Other values (40) 1000
72.7%

합계
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct249
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.447843
Minimum0
Maximum2340
Zeros460
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-03-16T13:12:59.646162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q325.5
95-th percentile434.6
Maximum2340
Range2340
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation209.32164
Coefficient of variation (CV)2.9297125
Kurtosis32.798202
Mean71.447843
Median Absolute Deviation (MAD)2
Skewness5.0844118
Sum91096
Variance43815.547
MonotonicityNot monotonic
2024-03-16T13:12:59.817690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 460
36.1%
1 146
 
11.5%
3 57
 
4.5%
2 55
 
4.3%
4 41
 
3.2%
5 28
 
2.2%
6 19
 
1.5%
8 17
 
1.3%
11 16
 
1.3%
7 13
 
1.0%
Other values (239) 423
33.2%
ValueCountFrequency (%)
0 460
36.1%
1 146
 
11.5%
2 55
 
4.3%
3 57
 
4.5%
4 41
 
3.2%
5 28
 
2.2%
6 19
 
1.5%
7 13
 
1.0%
8 17
 
1.3%
9 8
 
0.6%
ValueCountFrequency (%)
2340 1
0.1%
1898 1
0.1%
1859 1
0.1%
1656 1
0.1%
1588 1
0.1%
1459 1
0.1%
1307 1
0.1%
1306 1
0.1%
1255 1
0.1%
1197 1
0.1%

본인
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct200
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.837647
Minimum0
Maximum1307
Zeros735
Zeros (%)57.6%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-03-16T13:13:00.037414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile276.6
Maximum1307
Range1307
Interquartile range (IQR)7

Descriptive statistics

Standard deviation139.26488
Coefficient of variation (CV)3.176833
Kurtosis30.981277
Mean43.837647
Median Absolute Deviation (MAD)0
Skewness5.0811512
Sum55893
Variance19394.708
MonotonicityNot monotonic
2024-03-16T13:13:00.326049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 735
57.6%
1 98
 
7.7%
3 36
 
2.8%
2 32
 
2.5%
4 24
 
1.9%
5 16
 
1.3%
8 11
 
0.9%
11 9
 
0.7%
6 8
 
0.6%
7 8
 
0.6%
Other values (190) 298
23.4%
ValueCountFrequency (%)
0 735
57.6%
1 98
 
7.7%
2 32
 
2.5%
3 36
 
2.8%
4 24
 
1.9%
5 16
 
1.3%
6 8
 
0.6%
7 8
 
0.6%
8 11
 
0.9%
9 7
 
0.5%
ValueCountFrequency (%)
1307 1
0.1%
1306 1
0.1%
1161 1
0.1%
1127 1
0.1%
1109 1
0.1%
1052 1
0.1%
1017 1
0.1%
980 1
0.1%
923 1
0.1%
887 1
0.1%

유족
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct141
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.610196
Minimum0
Maximum1608
Zeros712
Zeros (%)55.8%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-03-16T13:13:00.558481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile136
Maximum1608
Range1608
Interquartile range (IQR)4

Descriptive statistics

Standard deviation113.69231
Coefficient of variation (CV)4.1177654
Kurtosis67.163411
Mean27.610196
Median Absolute Deviation (MAD)0
Skewness7.3335145
Sum35203
Variance12925.941
MonotonicityNot monotonic
2024-03-16T13:13:00.794449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 712
55.8%
1 122
 
9.6%
2 55
 
4.3%
3 42
 
3.3%
4 31
 
2.4%
5 26
 
2.0%
6 12
 
0.9%
11 12
 
0.9%
8 10
 
0.8%
7 10
 
0.8%
Other values (131) 243
 
19.1%
ValueCountFrequency (%)
0 712
55.8%
1 122
 
9.6%
2 55
 
4.3%
3 42
 
3.3%
4 31
 
2.4%
5 26
 
2.0%
6 12
 
0.9%
7 10
 
0.8%
8 10
 
0.8%
9 8
 
0.6%
ValueCountFrequency (%)
1608 1
0.1%
1194 1
0.1%
1168 1
0.1%
1032 1
0.1%
1026 1
0.1%
974 1
0.1%
846 1
0.1%
755 1
0.1%
748 1
0.1%
730 1
0.1%

Interactions

2024-03-16T13:12:56.555753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:54.509005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:55.217969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:55.929075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:56.780782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:54.724181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:55.369484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:56.052441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:56.988349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:54.878938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:55.543052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:56.218075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:57.165247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:55.073551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:55.763072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:12:56.377830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:13:00.939385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명순서대상구분합계본인유족
시군구명1.0000.0000.0000.1860.1330.000
순서0.0001.0000.9980.4190.4880.311
대상구분0.0000.9981.0000.5630.6240.594
합계0.1860.4190.5631.0000.9200.890
본인0.1330.4880.6240.9201.0000.631
유족0.0000.3110.5940.8900.6311.000
2024-03-16T13:13:01.092243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명대상구분
시군구명1.0000.000
대상구분0.0001.000
2024-03-16T13:13:01.225948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서합계본인유족시군구명대상구분
순서1.000-0.0980.225-0.4650.0000.963
합계-0.0981.0000.7720.6690.0660.223
본인0.2250.7721.0000.2370.0470.260
유족-0.4650.6690.2371.0000.0000.254
시군구명0.0000.0660.0470.0001.0000.000
대상구분0.9630.2230.2600.2540.0001.000

Missing values

2024-03-16T13:12:57.752472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:12:58.014596image/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

기준년월지역명시군구명순서대상구분합계본인유족
02023-12-31경상북도경산시1[순국선열]303
12023-12-31경상북도경산시2건국훈장303
22023-12-31경상북도경산시3건국포장000
32023-12-31경상북도경산시4대통령표창000
42023-12-31경상북도경산시5[애국지사]46046
52023-12-31경상북도경산시6건국훈장28028
62023-12-31경상북도경산시7건국포장505
72023-12-31경상북도경산시8대통령표창13013
82023-12-31경상북도경산시9[전몰·전상·순직·공상군경]18596651194
92023-12-31경상북도경산시10전몰군경2690269
기준년월지역명시군구명순서대상구분합계본인유족
12652023-12-31경상북도포항시 북구42고엽제후유증2세660
12662023-12-31경상북도포항시 북구43[5·18민주유공자]440
12672023-12-31경상북도포항시 북구445·18사망자 또는 행불자000
12682023-12-31경상북도포항시 북구455·18부상자330
12692023-12-31경상북도포항시 북구465·18희생자110
12702023-12-31경상북도포항시 북구47[특수임무유공자]17125
12712023-12-31경상북도포항시 북구48특수임무사망자 또는 행불자000
12722023-12-31경상북도포항시 북구49특수임무부상자770
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