Overview

Dataset statistics

Number of variables8
Number of observations510
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.0 KiB
Average record size in memory68.3 B

Variable types

DateTime1
Categorical3
Numeric4

Dataset

Description인천광역시 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/15098583/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 120 (23.5%) zerosZeros
본인 has 255 (50.0%) zerosZeros
유족 has 213 (41.8%) zerosZeros

Reproduction

Analysis started2024-03-16 04:18:35.176908
Analysis finished2024-03-16 04:18:39.264827
Duration4.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2023-12-31 00:00:00
Maximum2023-12-31 00:00:00
2024-03-16T13:18:39.370514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:39.539851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
인천광역시
510 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 510
100.0%

Length

2024-03-16T13:18:39.780189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:18:39.916301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 510
100.0%

시군구명
Categorical

Distinct10
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
강화군(인천)
51 
계양구
51 
남동구
51 
동구(인천)
51 
미추홀구
51 
Other values (5)
255 

Length

Max length7
Median length6
Mean length4.8
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강화군(인천)
2nd row강화군(인천)
3rd row강화군(인천)
4th row강화군(인천)
5th row강화군(인천)

Common Values

ValueCountFrequency (%)
강화군(인천) 51
10.0%
계양구 51
10.0%
남동구 51
10.0%
동구(인천) 51
10.0%
미추홀구 51
10.0%
부평구 51
10.0%
서구(인천) 51
10.0%
연수구 51
10.0%
옹진군(인천) 51
10.0%
중구(인천) 51
10.0%

Length

2024-03-16T13:18:40.230509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:18:40.448781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강화군(인천 51
10.0%
계양구 51
10.0%
남동구 51
10.0%
동구(인천 51
10.0%
미추홀구 51
10.0%
부평구 51
10.0%
서구(인천 51
10.0%
연수구 51
10.0%
옹진군(인천 51
10.0%
중구(인천 51
10.0%

순서
Real number (ℝ)

HIGH CORRELATION 

Distinct51
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-03-16T13:18:40.726564image/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 deviation14.734054
Coefficient of variation (CV)0.56669437
Kurtosis-1.2009229
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum13260
Variance217.09234
MonotonicityNot monotonic
2024-03-16T13:18:41.021003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 10
 
2.0%
2 10
 
2.0%
29 10
 
2.0%
30 10
 
2.0%
31 10
 
2.0%
32 10
 
2.0%
33 10
 
2.0%
34 10
 
2.0%
35 10
 
2.0%
36 10
 
2.0%
Other values (41) 410
80.4%
ValueCountFrequency (%)
1 10
2.0%
2 10
2.0%
3 10
2.0%
4 10
2.0%
5 10
2.0%
6 10
2.0%
7 10
2.0%
8 10
2.0%
9 10
2.0%
10 10
2.0%
ValueCountFrequency (%)
51 10
2.0%
50 10
2.0%
49 10
2.0%
48 10
2.0%
47 10
2.0%
46 10
2.0%
45 10
2.0%
44 10
2.0%
43 10
2.0%
42 10
2.0%

대상구분
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
건국포장
 
20
대통령표창
 
20
6·18자유상이자
 
10
고엽제후유증
 
10
지원순직군경
 
10
Other values (44)
440 

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 20
 
3.9%
대통령표창 20
 
3.9%
6·18자유상이자 10
 
2.0%
고엽제후유증 10
 
2.0%
지원순직군경 10
 
2.0%
보국수훈자 10
 
2.0%
[애국지사] 10
 
2.0%
건국훈장 10
 
2.0%
[전몰·전상·순직·공상군경] 10
 
2.0%
전몰군경 10
 
2.0%
Other values (39) 390
76.5%

Length

2024-03-16T13:18:41.379426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건국포장 20
 
3.6%
행불자 20
 
3.6%
또는 20
 
3.6%
건국훈장 20
 
3.6%
대통령표창 20
 
3.6%
5·18부상자 10
 
1.8%
참전유공자 10
 
1.8%
순국선열 10
 
1.8%
6.25및월남전쟁 10
 
1.8%
지원공상공무원 10
 
1.8%
Other values (40) 400
72.7%

합계
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct166
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.72549
Minimum0
Maximum2253
Zeros120
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-03-16T13:18:41.587650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q364.75
95-th percentile810.55
Maximum2253
Range2253
Interquartile range (IQR)63.75

Descriptive statistics

Standard deviation353.33159
Coefficient of variation (CV)2.5469839
Kurtosis14.564428
Mean138.72549
Median Absolute Deviation (MAD)7
Skewness3.6845979
Sum70750
Variance124843.21
MonotonicityNot monotonic
2024-03-16T13:18:41.857143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 120
23.5%
1 40
 
7.8%
2 24
 
4.7%
3 18
 
3.5%
7 17
 
3.3%
4 15
 
2.9%
5 14
 
2.7%
6 13
 
2.5%
10 9
 
1.8%
11 8
 
1.6%
Other values (156) 232
45.5%
ValueCountFrequency (%)
0 120
23.5%
1 40
 
7.8%
2 24
 
4.7%
3 18
 
3.5%
4 15
 
2.9%
5 14
 
2.7%
6 13
 
2.5%
7 17
 
3.3%
8 8
 
1.6%
9 5
 
1.0%
ValueCountFrequency (%)
2253 1
0.2%
2125 1
0.2%
2086 1
0.2%
2034 1
0.2%
2030 1
0.2%
2009 1
0.2%
2000 1
0.2%
1686 1
0.2%
1624 1
0.2%
1583 1
0.2%

본인
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct134
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.509804
Minimum0
Maximum2034
Zeros255
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-03-16T13:18:42.099473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q322.75
95-th percentile518.65
Maximum2034
Range2034
Interquartile range (IQR)22.75

Descriptive statistics

Standard deviation277.51986
Coefficient of variation (CV)2.9678156
Kurtosis22.085322
Mean93.509804
Median Absolute Deviation (MAD)0.5
Skewness4.4346041
Sum47690
Variance77017.272
MonotonicityNot monotonic
2024-03-16T13:18:42.331511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 255
50.0%
1 22
 
4.3%
3 14
 
2.7%
4 10
 
2.0%
2 10
 
2.0%
10 9
 
1.8%
5 7
 
1.4%
8 7
 
1.4%
20 6
 
1.2%
6 6
 
1.2%
Other values (124) 164
32.2%
ValueCountFrequency (%)
0 255
50.0%
1 22
 
4.3%
2 10
 
2.0%
3 14
 
2.7%
4 10
 
2.0%
5 7
 
1.4%
6 6
 
1.2%
7 3
 
0.6%
8 7
 
1.4%
9 3
 
0.6%
ValueCountFrequency (%)
2034 1
0.2%
2009 1
0.2%
2000 1
0.2%
1686 1
0.2%
1624 1
0.2%
1583 1
0.2%
1532 1
0.2%
1398 1
0.2%
1375 1
0.2%
1261 1
0.2%

유족
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct100
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.215686
Minimum0
Maximum1356
Zeros213
Zeros (%)41.8%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-03-16T13:18:42.564330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q311
95-th percentile231.65
Maximum1356
Range1356
Interquartile range (IQR)11

Descriptive statistics

Standard deviation159.66576
Coefficient of variation (CV)3.5312029
Kurtosis33.837138
Mean45.215686
Median Absolute Deviation (MAD)1
Skewness5.4901394
Sum23060
Variance25493.156
MonotonicityNot monotonic
2024-03-16T13:18:42.825500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 213
41.8%
1 49
 
9.6%
2 29
 
5.7%
4 18
 
3.5%
5 14
 
2.7%
3 14
 
2.7%
6 13
 
2.5%
7 11
 
2.2%
10 8
 
1.6%
9 6
 
1.2%
Other values (90) 135
26.5%
ValueCountFrequency (%)
0 213
41.8%
1 49
 
9.6%
2 29
 
5.7%
3 14
 
2.7%
4 18
 
3.5%
5 14
 
2.7%
6 13
 
2.5%
7 11
 
2.2%
8 6
 
1.2%
9 6
 
1.2%
ValueCountFrequency (%)
1356 1
0.2%
1319 1
0.2%
1254 1
0.2%
1224 1
0.2%
838 1
0.2%
792 1
0.2%
767 1
0.2%
766 1
0.2%
758 1
0.2%
703 1
0.2%

Interactions

2024-03-16T13:18:37.995661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:35.880745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:36.475405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:37.312468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:38.134802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:36.041408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:36.648797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:37.493256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:38.337482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:36.211492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:36.933494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:37.626604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:38.564172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:36.344926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:37.127101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:37.776073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:18:43.005969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명순서대상구분합계본인유족
시군구명1.0000.0000.0000.0000.0400.000
순서0.0001.0000.9980.5870.5260.431
대상구분0.0000.9981.0000.7760.7220.747
합계0.0000.5870.7761.0000.9590.804
본인0.0400.5260.7220.9591.0000.533
유족0.0000.4310.7470.8040.5331.000
2024-03-16T13:18:43.153240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대상구분시군구명
대상구분1.0000.000
시군구명0.0001.000
2024-03-16T13:18:43.278649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서합계본인유족시군구명대상구분
순서1.000-0.0190.303-0.4160.0000.938
합계-0.0191.0000.7810.6040.0000.376
본인0.3030.7811.0000.1950.0110.324
유족-0.4160.6040.1951.0000.0000.376
시군구명0.0000.0000.0110.0001.0000.000
대상구분0.9380.3760.3240.3760.0001.000

Missing values

2024-03-16T13:18:38.860598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:18:39.136418image/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
02023-12-31인천광역시강화군(인천)1[순국선열]404
12023-12-31인천광역시강화군(인천)2건국훈장303
22023-12-31인천광역시강화군(인천)3건국포장000
32023-12-31인천광역시강화군(인천)4대통령표창101
42023-12-31인천광역시강화군(인천)5[애국지사]11011
52023-12-31인천광역시강화군(인천)6건국훈장505
62023-12-31인천광역시강화군(인천)7건국포장000
72023-12-31인천광역시강화군(인천)8대통령표창606
82023-12-31인천광역시강화군(인천)9[전몰·전상·순직·공상군경]478179299
92023-12-31인천광역시강화군(인천)10전몰군경76076
기준년월지역명시군구명순서대상구분합계본인유족
5002023-12-31인천광역시중구(인천)42고엽제후유증2세110
5012023-12-31인천광역시중구(인천)43[5·18민주유공자]642
5022023-12-31인천광역시중구(인천)445·18사망자 또는 행불자000
5032023-12-31인천광역시중구(인천)455·18부상자431
5042023-12-31인천광역시중구(인천)465·18희생자211
5052023-12-31인천광역시중구(인천)47[특수임무유공자]28226
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