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

Categorical4
Numeric4

Dataset

Description인천광역시 시군구별 보훈대상자 인원현황 자료<br/>1. 적용 대상 국가유공자는 「국가유공자 등 예우 및 지원에 관한 법률」 제4조 참조<br/>2. 참전유공자는 「참전유공자예우 및 단체설립에 관한 법률」제2조에 의거 등록된 대상자 현황<br/><br/><참고><br/>* 제적(국적상실), 등급기준 미달자, 단순 수훈자, 희생자력 제외<br/>* 합계는 등록대상별 현황의 합계임 (실인원이 아님)<br/>* (고엽제후유증)은 국가유공자예우법상 `전몰·전상·순직·공상군경`에 포함(중복합산을 하지 않음)
Author국가보훈부
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15098583&srcSe=7661IVAWM27C61E190

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 122 (23.9%) zerosZeros
본인 has 255 (50.0%) zerosZeros
유족 has 212 (41.6%) zerosZeros

Reproduction

Analysis started2024-05-03 19:45:26.459761
Analysis finished2024-05-03 19:45:34.379137
Duration7.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-09-30
510 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-30
2nd row2023-09-30
3rd row2023-09-30
4th row2023-09-30
5th row2023-09-30

Common Values

ValueCountFrequency (%)
2023-09-30 510
100.0%

Length

2024-05-03T19:45:34.633588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:45:35.032844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-30 510
100.0%

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

2024-05-03T19:45:35.361721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:45:35.656338image/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
51 
계양구
51 
남동구
51 
동구
51 
미추홀구
51 
Other values (5)
255 

Length

Max length4
Median length3
Mean length2.8
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

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

Length

2024-05-03T19:45:36.068448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:45:36.592712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강화군 51
10.0%
계양구 51
10.0%
남동구 51
10.0%
동구 51
10.0%
미추홀구 51
10.0%
부평구 51
10.0%
서구 51
10.0%
연수구 51
10.0%
옹진군 51
10.0%
중구 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
2024-05-03T19:45:37.182657image/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
2024-05-03T19:45:37.792149image/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 

Distinct48
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
건국훈장
 
20
대통령표창
 
20
건국포장
 
20
6·18자유상이자
 
10
특별공로순직자
 
10
Other values (43)
430 

Length

Max length15
Median length11
Mean length6.9411765
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건국훈장 20
 
3.9%
대통령표창 20
 
3.9%
건국포장 20
 
3.9%
6·18자유상이자 10
 
2.0%
특별공로순직자 10
 
2.0%
지원공상군경 10
 
2.0%
[지원대상자] 10
 
2.0%
[애국지사] 10
 
2.0%
[전몰·전상·순직·공상군경] 10
 
2.0%
전몰군경 10
 
2.0%
Other values (38) 380
74.5%

Length

2024-05-03T19:45:38.399304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건국훈장 20
 
3.6%
행불자 20
 
3.6%
또는 20
 
3.6%
대통령표창 20
 
3.6%
건국포장 20
 
3.6%
특수임무유공자 10
 
1.8%
참전유공자 10
 
1.8%
특수임무부상자 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%
Mean138.91373
Minimum0
Maximum2263
Zeros122
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-03T19:45:38.858730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q363
95-th percentile811.2
Maximum2263
Range2263
Interquartile range (IQR)62

Descriptive statistics

Standard deviation354.55027
Coefficient of variation (CV)2.5523055
Kurtosis14.640338
Mean138.91373
Median Absolute Deviation (MAD)7
Skewness3.6937993
Sum70846
Variance125705.89
MonotonicityNot monotonic
2024-05-03T19:45:39.380956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 122
23.9%
1 37
 
7.3%
2 25
 
4.9%
6 18
 
3.5%
3 17
 
3.3%
4 16
 
3.1%
5 16
 
3.1%
11 12
 
2.4%
7 9
 
1.8%
9 8
 
1.6%
Other values (156) 230
45.1%
ValueCountFrequency (%)
0 122
23.9%
1 37
 
7.3%
2 25
 
4.9%
3 17
 
3.3%
4 16
 
3.1%
5 16
 
3.1%
6 18
 
3.5%
7 9
 
1.8%
8 7
 
1.4%
9 8
 
1.6%
ValueCountFrequency (%)
2263 1
0.2%
2105 1
0.2%
2078 1
0.2%
2057 1
0.2%
2055 1
0.2%
2032 1
0.2%
2005 1
0.2%
1724 1
0.2%
1647 1
0.2%
1588 1
0.2%

본인
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct132
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.188235
Minimum0
Maximum2057
Zeros255
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-03T19:45:39.906188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q323.75
95-th percentile505.75
Maximum2057
Range2057
Interquartile range (IQR)23.75

Descriptive statistics

Standard deviation280.34874
Coefficient of variation (CV)2.976473
Kurtosis22.435818
Mean94.188235
Median Absolute Deviation (MAD)0.5
Skewness4.4631645
Sum48036
Variance78595.414
MonotonicityNot monotonic
2024-05-03T19:45:40.489286image/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%
14 6
 
1.2%
24 6
 
1.2%
6 6
 
1.2%
Other values (122) 165
32.4%
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 1
 
0.2%
8 6
 
1.2%
9 5
 
1.0%
ValueCountFrequency (%)
2057 1
0.2%
2055 1
0.2%
2032 1
0.2%
1724 1
0.2%
1647 1
0.2%
1588 1
0.2%
1549 1
0.2%
1402 1
0.2%
1346 1
0.2%
1289 1
0.2%

유족
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct101
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.72549
Minimum0
Maximum1350
Zeros212
Zeros (%)41.6%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-05-03T19:45:41.087329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310.75
95-th percentile230.75
Maximum1350
Range1350
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation158.05301
Coefficient of variation (CV)3.5338463
Kurtosis33.801959
Mean44.72549
Median Absolute Deviation (MAD)1
Skewness5.4872897
Sum22810
Variance24980.754
MonotonicityNot monotonic
2024-05-03T19:45:41.673935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 212
41.6%
1 52
 
10.2%
2 28
 
5.5%
4 19
 
3.7%
6 17
 
3.3%
3 16
 
3.1%
5 10
 
2.0%
9 8
 
1.6%
7 8
 
1.6%
10 7
 
1.4%
Other values (91) 133
26.1%
ValueCountFrequency (%)
0 212
41.6%
1 52
 
10.2%
2 28
 
5.5%
3 16
 
3.1%
4 19
 
3.7%
5 10
 
2.0%
6 17
 
3.3%
7 8
 
1.6%
8 5
 
1.0%
9 8
 
1.6%
ValueCountFrequency (%)
1350 1
0.2%
1303 1
0.2%
1227 1
0.2%
1217 1
0.2%
833 1
0.2%
778 1
0.2%
760 1
0.2%
752 1
0.2%
751 1
0.2%
700 1
0.2%

Interactions

2024-05-03T19:45:31.775158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:45:27.240138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:45:28.526467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:45:29.977626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:45:32.264780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:45:27.540543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:45:28.810571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:45:30.304941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:45:32.863837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:45:27.876875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:45:29.146210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:45:30.654372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:45:33.255997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:45:28.191066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:45:29.628353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:45:31.347767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-03T19:45:42.054375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명순서대상구분합계본인유족
시군구명1.0000.0000.0000.0000.0000.000
순서0.0001.0000.9970.5690.5230.432
대상구분0.0000.9971.0000.7500.7060.756
합계0.0000.5690.7501.0000.9480.761
본인0.0000.5230.7060.9481.0000.527
유족0.0000.4320.7560.7610.5271.000
2024-05-03T19:45:42.380449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대상구분시군구명
대상구분1.0000.000
시군구명0.0001.000
2024-05-03T19:45:42.654526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서합계본인유족시군구명대상구분
순서1.000-0.0170.303-0.4140.0000.939
합계-0.0171.0000.7810.6060.0000.352
본인0.3030.7811.0000.1980.0000.314
유족-0.4140.6060.1981.0000.0000.365
시군구명0.0000.0000.0000.0001.0000.000
대상구분0.9390.3520.3140.3650.0001.000

Missing values

2024-05-03T19:45:33.648109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-03T19:45:34.115941image/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
02023-09-30인천광역시강화군1[순국선열]404
12023-09-30인천광역시강화군2건국훈장303
22023-09-30인천광역시강화군3건국포장000
32023-09-30인천광역시강화군4대통령표창101
42023-09-30인천광역시강화군5[애국지사]11011
52023-09-30인천광역시강화군6건국훈장505
62023-09-30인천광역시강화군7건국포장000
72023-09-30인천광역시강화군8대통령표창606
82023-09-30인천광역시강화군9[전몰·전상·순직·공상군경]469175294
92023-09-30인천광역시강화군10전몰군경73073
기준년월지역명시군구명순서대상구분합계본인유족
5002023-09-30인천광역시중구42고엽제후유증2세110
5012023-09-30인천광역시중구43[5·18민주유공자]642
5022023-09-30인천광역시중구445·18사망자 또는 행불자000
5032023-09-30인천광역시중구455·18부상자431
5042023-09-30인천광역시중구465·18희생자211
5052023-09-30인천광역시중구47[특수임무유공자]26206
5062023-09-30인천광역시중구48특수임무사망자 또는 행불자000
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