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

Description광주광역시 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/15087452/fileData.do

Alerts

기준년월 has constant value ""Constant
지역명 has constant value ""Constant
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
순서 has unique valuesUnique
합계 has 4 (7.8%) zerosZeros
본인 has 21 (41.2%) zerosZeros
유족 has 12 (23.5%) zerosZeros

Reproduction

Analysis started2024-03-14 13:19:50.600192
Analysis finished2024-03-14 13:19:54.927158
Duration4.33 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
2024-03-14T22:19:55.074163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:19:55.370687image/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
광주광역시
51 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주광역시 51
100.0%

Length

2024-03-14T22:19:55.725195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:19:56.021619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주광역시 51
100.0%

순서
Real number (ℝ)

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
2024-03-14T22:19:56.355613image/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
2024-03-14T22:19:56.801030image/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
2024-03-14T22:19:57.744647image/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%
2024-03-14T22:19:59.089648image/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 

Distinct42
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean813.07843
Minimum0
Maximum8059
Zeros4
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-14T22:19:59.491549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median83
Q3804
95-th percentile4207.5
Maximum8059
Range8059
Interquartile range (IQR)792

Descriptive statistics

Standard deviation1572.3482
Coefficient of variation (CV)1.9338211
Kurtosis9.1470478
Mean813.07843
Median Absolute Deviation (MAD)83
Skewness2.8427935
Sum41467
Variance2472278.8
MonotonicityNot monotonic
2024-03-14T22:19:59.934616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 4
 
7.8%
17 2
 
3.9%
3 2
 
3.9%
6 2
 
3.9%
1 2
 
3.9%
13 2
 
3.9%
41 2
 
3.9%
1403 1
 
2.0%
192 1
 
2.0%
3208 1
 
2.0%
Other values (32) 32
62.7%
ValueCountFrequency (%)
0 4
7.8%
1 2
3.9%
3 2
3.9%
5 1
 
2.0%
6 2
3.9%
8 1
 
2.0%
11 1
 
2.0%
13 2
3.9%
15 1
 
2.0%
17 2
3.9%
ValueCountFrequency (%)
8059 1
2.0%
4855 1
2.0%
4236 1
2.0%
4179 1
2.0%
3208 1
2.0%
2397 1
2.0%
1978 1
2.0%
1806 1
2.0%
1635 1
2.0%
1403 1
2.0%

본인
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct30
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean538.62745
Minimum0
Maximum4855
Zeros21
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-14T22:20:00.564897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q3320
95-th percentile3323.5
Maximum4855
Range4855
Interquartile range (IQR)320

Descriptive statistics

Standard deviation1125.5522
Coefficient of variation (CV)2.0896673
Kurtosis6.150175
Mean538.62745
Median Absolute Deviation (MAD)6
Skewness2.555424
Sum27470
Variance1266867.7
MonotonicityNot monotonic
2024-03-14T22:20:00.971052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 21
41.2%
124 2
 
3.9%
3 1
 
2.0%
3208 1
 
2.0%
33 1
 
2.0%
37 1
 
2.0%
70 1
 
2.0%
406 1
 
2.0%
1065 1
 
2.0%
1471 1
 
2.0%
Other values (20) 20
39.2%
ValueCountFrequency (%)
0 21
41.2%
1 1
 
2.0%
3 1
 
2.0%
4 1
 
2.0%
5 1
 
2.0%
6 1
 
2.0%
10 1
 
2.0%
24 1
 
2.0%
33 1
 
2.0%
37 1
 
2.0%
ValueCountFrequency (%)
4855 1
2.0%
4236 1
2.0%
3439 1
2.0%
3208 1
2.0%
1812 1
2.0%
1635 1
2.0%
1627 1
2.0%
1471 1
2.0%
1094 1
2.0%
1065 1
2.0%

유족
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct35
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean274.45098
Minimum0
Maximum4620
Zeros12
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-03-14T22:20:01.367512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5
median13
Q3116
95-th percentile1087
Maximum4620
Range4620
Interquartile range (IQR)114.5

Descriptive statistics

Standard deviation753.38026
Coefficient of variation (CV)2.7450449
Kurtosis23.735643
Mean274.45098
Median Absolute Deviation (MAD)13
Skewness4.598297
Sum13997
Variance567581.81
MonotonicityNot monotonic
2024-03-14T22:20:01.756861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 12
23.5%
6 3
 
5.9%
13 2
 
3.9%
2 2
 
3.9%
17 2
 
3.9%
85 1
 
2.0%
338 1
 
2.0%
84 1
 
2.0%
507 1
 
2.0%
426 1
 
2.0%
Other values (25) 25
49.0%
ValueCountFrequency (%)
0 12
23.5%
1 1
 
2.0%
2 2
 
3.9%
3 1
 
2.0%
4 1
 
2.0%
5 1
 
2.0%
6 3
 
5.9%
8 1
 
2.0%
11 1
 
2.0%
12 1
 
2.0%
ValueCountFrequency (%)
4620 1
2.0%
2552 1
2.0%
1139 1
2.0%
1035 1
2.0%
712 1
2.0%
585 1
2.0%
526 1
2.0%
507 1
2.0%
448 1
2.0%
426 1
2.0%

Interactions

2024-03-14T22:19:53.370179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:19:50.852949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:19:51.820007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:19:52.513755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:19:53.604764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:19:51.092222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:19:52.052322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:19:52.652707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:19:53.856107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:19:51.349834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:19:52.220049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:19:52.902303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:19:54.088907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:19:51.588221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:19:52.372974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:19:53.140926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T22:20:01.900995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서대상구분합계본인유족
순서1.0000.7700.2520.2950.412
대상구분0.7701.0001.0001.0001.000
합계0.2521.0001.0000.9390.849
본인0.2951.0000.9391.0000.718
유족0.4121.0000.8490.7181.000
2024-03-14T22:20:02.067126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서합계본인유족
순서1.0000.0700.352-0.371
합계0.0701.0000.7470.569
본인0.3520.7471.0000.127
유족-0.3710.5690.1271.000

Missing values

2024-03-14T22:19:54.409385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:19:54.784302image/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
02023-12-31광주광역시1[순국선열]17017
12023-12-31광주광역시2건국훈장17017
22023-12-31광주광역시3건국포장000
32023-12-31광주광역시4대통령표창000
42023-12-31광주광역시5[애국지사]2190219
52023-12-31광주광역시6건국훈장1100110
62023-12-31광주광역시7건국포장26026
72023-12-31광주광역시8대통령표창83083
82023-12-31광주광역시9[전몰·전상·순직·공상군경]805934394620
92023-12-31광주광역시10전몰군경103501035
기준년월지역명순서대상구분합계본인유족
412023-12-31광주광역시42고엽제후유증2세110
422023-12-31광주광역시43[5·18민주유공자]19781471507
432023-12-31광주광역시445·18사망자 또는 행불자84084
442023-12-31광주광역시455·18부상자14031065338
452023-12-31광주광역시465·18희생자49140685
462023-12-31광주광역시47[특수임무유공자]827012
472023-12-31광주광역시48특수임무사망자 또는 행불자000
482023-12-31광주광역시49특수임무부상자41374
492023-12-31광주광역시50특수임무공로자41338
502023-12-31광주광역시51중·장기복무제대군인320832080