Overview

Dataset statistics

Number of variables8
Number of observations255
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.1 KiB
Average record size in memory68.5 B

Variable types

Categorical4
Numeric4

Dataset

Description울산광역시 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/15098582/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 68 (26.7%) zerosZeros
본인 has 138 (54.1%) zerosZeros
유족 has 111 (43.5%) zerosZeros

Reproduction

Analysis started2024-03-16 04:14:15.602208
Analysis finished2024-03-16 04:14:18.733853
Duration3.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-31
255 

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 (%)
2023-12-31 255
100.0%

Length

2024-03-16T13:14:18.827739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:14:18.993969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-31 255
100.0%

지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
울산광역시
255 

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 255
100.0%

Length

2024-03-16T13:14:19.121244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:14:19.212301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 255
100.0%

시군구명
Categorical

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
남구(울산)
51 
동구(울산)
51 
북구(울산)
51 
울주군(울산)
51 
중구(울산)
51 

Length

Max length7
Median length6
Mean length6.2
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남구(울산)
2nd row남구(울산)
3rd row남구(울산)
4th row남구(울산)
5th row남구(울산)

Common Values

ValueCountFrequency (%)
남구(울산) 51
20.0%
동구(울산) 51
20.0%
북구(울산) 51
20.0%
울주군(울산) 51
20.0%
중구(울산) 51
20.0%

Length

2024-03-16T13:14:19.348255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:14:19.518828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구(울산 51
20.0%
동구(울산 51
20.0%
북구(울산 51
20.0%
울주군(울산 51
20.0%
중구(울산 51
20.0%

순서
Real number (ℝ)

HIGH CORRELATION 

Distinct51
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-16T13:14:19.755909image/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 deviation14.748549
Coefficient of variation (CV)0.56725187
Kurtosis-1.2009038
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum6630
Variance217.51969
MonotonicityNot monotonic
2024-03-16T13:14:20.327281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 5
 
2.0%
2 5
 
2.0%
29 5
 
2.0%
30 5
 
2.0%
31 5
 
2.0%
32 5
 
2.0%
33 5
 
2.0%
34 5
 
2.0%
35 5
 
2.0%
36 5
 
2.0%
Other values (41) 205
80.4%
ValueCountFrequency (%)
1 5
2.0%
2 5
2.0%
3 5
2.0%
4 5
2.0%
5 5
2.0%
6 5
2.0%
7 5
2.0%
8 5
2.0%
9 5
2.0%
10 5
2.0%
ValueCountFrequency (%)
51 5
2.0%
50 5
2.0%
49 5
2.0%
48 5
2.0%
47 5
2.0%
46 5
2.0%
45 5
2.0%
44 5
2.0%
43 5
2.0%
42 5
2.0%

대상구분
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
건국포장
 
10
대통령표창
 
10
6·18자유상이자
 
5
고엽제후유증
 
5
지원순직군경
 
5
Other values (44)
220 

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 10
 
3.9%
대통령표창 10
 
3.9%
6·18자유상이자 5
 
2.0%
고엽제후유증 5
 
2.0%
지원순직군경 5
 
2.0%
보국수훈자 5
 
2.0%
[애국지사] 5
 
2.0%
건국훈장 5
 
2.0%
[전몰·전상·순직·공상군경] 5
 
2.0%
전몰군경 5
 
2.0%
Other values (39) 195
76.5%

Length

2024-03-16T13:14:20.489301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건국포장 10
 
3.6%
행불자 10
 
3.6%
또는 10
 
3.6%
건국훈장 10
 
3.6%
대통령표창 10
 
3.6%
5·18부상자 5
 
1.8%
참전유공자 5
 
1.8%
순국선열 5
 
1.8%
6.25및월남전쟁 5
 
1.8%
지원공상공무원 5
 
1.8%
Other values (40) 200
72.7%

합계
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct89
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.96471
Minimum0
Maximum1636
Zeros68
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-16T13:14:20.668812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q336.5
95-th percentile719.5
Maximum1636
Range1636
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation248.11715
Coefficient of variation (CV)2.4097301
Kurtosis13.306342
Mean102.96471
Median Absolute Deviation (MAD)5
Skewness3.4280084
Sum26256
Variance61562.121
MonotonicityNot monotonic
2024-03-16T13:14:20.850674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68
26.7%
1 32
 
12.5%
2 11
 
4.3%
3 9
 
3.5%
5 9
 
3.5%
10 8
 
3.1%
6 6
 
2.4%
20 5
 
2.0%
7 5
 
2.0%
8 4
 
1.6%
Other values (79) 98
38.4%
ValueCountFrequency (%)
0 68
26.7%
1 32
12.5%
2 11
 
4.3%
3 9
 
3.5%
4 3
 
1.2%
5 9
 
3.5%
6 6
 
2.4%
7 5
 
2.0%
8 4
 
1.6%
9 3
 
1.2%
ValueCountFrequency (%)
1636 1
0.4%
1549 1
0.4%
1212 1
0.4%
976 1
0.4%
972 1
0.4%
953 1
0.4%
924 1
0.4%
884 1
0.4%
819 1
0.4%
814 1
0.4%

본인
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct72
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.701961
Minimum0
Maximum924
Zeros138
Zeros (%)54.1%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-16T13:14:21.095866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q315
95-th percentile424.7
Maximum924
Range924
Interquartile range (IQR)15

Descriptive statistics

Standard deviation161.49905
Coefficient of variation (CV)2.5352288
Kurtosis11.228663
Mean63.701961
Median Absolute Deviation (MAD)0
Skewness3.2746356
Sum16244
Variance26081.942
MonotonicityNot monotonic
2024-03-16T13:14:21.278986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 138
54.1%
4 9
 
3.5%
1 8
 
3.1%
2 6
 
2.4%
3 5
 
2.0%
9 4
 
1.6%
5 4
 
1.6%
22 4
 
1.6%
6 4
 
1.6%
8 3
 
1.2%
Other values (62) 70
27.5%
ValueCountFrequency (%)
0 138
54.1%
1 8
 
3.1%
2 6
 
2.4%
3 5
 
2.0%
4 9
 
3.5%
5 4
 
1.6%
6 4
 
1.6%
7 2
 
0.8%
8 3
 
1.2%
9 4
 
1.6%
ValueCountFrequency (%)
924 1
0.4%
884 1
0.4%
819 1
0.4%
814 1
0.4%
744 1
0.4%
709 1
0.4%
610 1
0.4%
553 1
0.4%
529 1
0.4%
506 1
0.4%

유족
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct54
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.262745
Minimum0
Maximum1026
Zeros111
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-16T13:14:21.438311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36.5
95-th percentile260.4
Maximum1026
Range1026
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation133.77074
Coefficient of variation (CV)3.4070655
Kurtosis27.290965
Mean39.262745
Median Absolute Deviation (MAD)1
Skewness4.9297344
Sum10012
Variance17894.612
MonotonicityNot monotonic
2024-03-16T13:14:21.634545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 111
43.5%
1 35
 
13.7%
2 17
 
6.7%
3 12
 
4.7%
4 6
 
2.4%
10 5
 
2.0%
5 5
 
2.0%
6 5
 
2.0%
25 3
 
1.2%
12 3
 
1.2%
Other values (44) 53
20.8%
ValueCountFrequency (%)
0 111
43.5%
1 35
 
13.7%
2 17
 
6.7%
3 12
 
4.7%
4 6
 
2.4%
5 5
 
2.0%
6 5
 
2.0%
7 3
 
1.2%
8 1
 
0.4%
9 1
 
0.4%
ValueCountFrequency (%)
1026 1
0.4%
996 1
0.4%
718 1
0.4%
637 1
0.4%
621 1
0.4%
556 1
0.4%
462 1
0.4%
426 1
0.4%
369 1
0.4%
351 1
0.4%

Interactions

2024-03-16T13:14:17.900868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:14:16.073010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:14:16.735705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:14:17.386359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:14:18.046026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:14:16.223594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:14:16.884007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:14:17.510554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:14:18.186569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:14:16.420978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:14:17.050206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:14:17.651020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:14:18.293616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:14:16.568776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:14:17.224329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:14:17.787624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:14:21.785256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명순서대상구분합계본인유족
시군구명1.0000.0000.0000.0000.0000.000
순서0.0001.0000.9980.5000.6300.406
대상구분0.0000.9981.0000.8280.8170.760
합계0.0000.5000.8281.0000.8410.937
본인0.0000.6300.8170.8411.0000.752
유족0.0000.4060.7600.9370.7521.000
2024-03-16T13:14:21.944310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명대상구분
시군구명1.0000.000
대상구분0.0001.000
2024-03-16T13:14:22.065154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서합계본인유족시군구명대상구분
순서1.000-0.0410.267-0.4490.0000.894
합계-0.0411.0000.7940.6300.0000.447
본인0.2670.7941.0000.2300.0000.403
유족-0.4490.6300.2301.0000.0000.370
시군구명0.0000.0000.0000.0001.0000.000
대상구분0.8940.4470.4030.3700.0001.000

Missing values

2024-03-16T13:14:18.464895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:14:18.658029image/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
02023-12-31울산광역시남구(울산)1[순국선열]303
12023-12-31울산광역시남구(울산)2건국훈장202
22023-12-31울산광역시남구(울산)3건국포장000
32023-12-31울산광역시남구(울산)4대통령표창101
42023-12-31울산광역시남구(울산)5[애국지사]20020
52023-12-31울산광역시남구(울산)6건국훈장10010
62023-12-31울산광역시남구(울산)7건국포장303
72023-12-31울산광역시남구(울산)8대통령표창707
82023-12-31울산광역시남구(울산)9[전몰·전상·순직·공상군경]16366101026
92023-12-31울산광역시남구(울산)10전몰군경2490249
기준년월지역명시군구명순서대상구분합계본인유족
2452023-12-31울산광역시중구(울산)42고엽제후유증2세000
2462023-12-31울산광역시중구(울산)43[5·18민주유공자]110
2472023-12-31울산광역시중구(울산)445·18사망자 또는 행불자000
2482023-12-31울산광역시중구(울산)455·18부상자000
2492023-12-31울산광역시중구(울산)465·18희생자110
2502023-12-31울산광역시중구(울산)47[특수임무유공자]1073
2512023-12-31울산광역시중구(울산)48특수임무사망자 또는 행불자000
2522023-12-31울산광역시중구(울산)49특수임무부상자532
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