Overview

Dataset statistics

Number of variables5
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory48.5 B

Variable types

Numeric5

Dataset

Description순직유족보상금 승인, 불승인 건수 및 승인율과 불승인율에 대한 데이터입니다. 1983년부터 시작되며 연 단위로 구분됩니다.
Author공무원연금공단
URLhttps://www.data.go.kr/data/15054917/fileData.do

Alerts

연 도 is highly overall correlated with 순직유족보상금 승인건수 and 2 other fieldsHigh correlation
순직유족보상금 승인건수 is highly overall correlated with 연 도 and 3 other fieldsHigh correlation
순직유족보상금 불승인건수 is highly overall correlated with 순직유족보상금 승인건수High correlation
승인율(퍼센트) is highly overall correlated with 연 도 and 2 other fieldsHigh correlation
불승인율(퍼센트) is highly overall correlated with 연 도 and 2 other fieldsHigh correlation
연 도 has unique valuesUnique
승인율(퍼센트) has unique valuesUnique
불승인율(퍼센트) has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:47:12.191029
Analysis finished2023-12-12 06:47:15.455000
Duration3.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연 도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2001.5
Minimum1983
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T15:47:15.547029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1983
5-th percentile1984.85
Q11992.25
median2001.5
Q32010.75
95-th percentile2018.15
Maximum2020
Range37
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation11.113055
Coefficient of variation (CV)0.0055523634
Kurtosis-1.2
Mean2001.5
Median Absolute Deviation (MAD)9.5
Skewness0
Sum76057
Variance123.5
MonotonicityStrictly increasing
2023-12-12T15:47:15.742410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1983 1
 
2.6%
2012 1
 
2.6%
2005 1
 
2.6%
2006 1
 
2.6%
2007 1
 
2.6%
2008 1
 
2.6%
2009 1
 
2.6%
2010 1
 
2.6%
2011 1
 
2.6%
2013 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
1983 1
2.6%
1984 1
2.6%
1985 1
2.6%
1986 1
2.6%
1987 1
2.6%
1988 1
2.6%
1989 1
2.6%
1990 1
2.6%
1991 1
2.6%
1992 1
2.6%
ValueCountFrequency (%)
2020 1
2.6%
2019 1
2.6%
2018 1
2.6%
2017 1
2.6%
2016 1
2.6%
2015 1
2.6%
2014 1
2.6%
2013 1
2.6%
2012 1
2.6%
2011 1
2.6%

순직유족보상금 승인건수
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean222.07895
Minimum47
Maximum506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T15:47:15.908535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile63.8
Q176.25
median249
Q3350
95-th percentile454.65
Maximum506
Range459
Interquartile range (IQR)273.75

Descriptive statistics

Standard deviation141.56278
Coefficient of variation (CV)0.63744349
Kurtosis-1.232868
Mean222.07895
Median Absolute Deviation (MAD)139.5
Skewness0.2730633
Sum8439
Variance20040.021
MonotonicityNot monotonic
2023-12-12T15:47:16.066681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
65 2
 
5.3%
249 2
 
5.3%
66 2
 
5.3%
91 1
 
2.6%
133 1
 
2.6%
77 1
 
2.6%
85 1
 
2.6%
93 1
 
2.6%
47 1
 
2.6%
276 1
 
2.6%
Other values (25) 25
65.8%
ValueCountFrequency (%)
47 1
2.6%
57 1
2.6%
65 2
5.3%
66 2
5.3%
69 1
2.6%
73 1
2.6%
74 1
2.6%
76 1
2.6%
77 1
2.6%
78 1
2.6%
ValueCountFrequency (%)
506 1
2.6%
464 1
2.6%
453 1
2.6%
440 1
2.6%
372 1
2.6%
369 1
2.6%
367 1
2.6%
359 1
2.6%
358 1
2.6%
355 1
2.6%

순직유족보상금 불승인건수
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.21053
Minimum61
Maximum228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T15:47:16.233042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61
5-th percentile66.7
Q1104.25
median153
Q3170.75
95-th percentile215.05
Maximum228
Range167
Interquartile range (IQR)66.5

Descriptive statistics

Standard deviation46.833897
Coefficient of variation (CV)0.32702832
Kurtosis-0.86645058
Mean143.21053
Median Absolute Deviation (MAD)30
Skewness-0.16160897
Sum5442
Variance2193.4139
MonotonicityNot monotonic
2023-12-12T15:47:16.406546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
170 2
 
5.3%
123 2
 
5.3%
171 2
 
5.3%
155 2
 
5.3%
137 2
 
5.3%
61 1
 
2.6%
69 1
 
2.6%
73 1
 
2.6%
86 1
 
2.6%
101 1
 
2.6%
Other values (23) 23
60.5%
ValueCountFrequency (%)
61 1
2.6%
65 1
2.6%
67 1
2.6%
69 1
2.6%
73 1
2.6%
86 1
2.6%
87 1
2.6%
98 1
2.6%
100 1
2.6%
101 1
2.6%
ValueCountFrequency (%)
228 1
2.6%
221 1
2.6%
214 1
2.6%
206 1
2.6%
201 1
2.6%
197 1
2.6%
187 1
2.6%
182 1
2.6%
171 2
5.3%
170 2
5.3%

승인율(퍼센트)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.686842
Minimum24.9
Maximum80.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T15:47:16.601101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24.9
5-th percentile31.42
Q143.025
median60.65
Q365.625
95-th percentile76.125
Maximum80.5
Range55.6
Interquartile range (IQR)22.6

Descriptive statistics

Standard deviation15.204288
Coefficient of variation (CV)0.27303196
Kurtosis-0.99691284
Mean55.686842
Median Absolute Deviation (MAD)10.4
Skewness-0.34517377
Sum2116.1
Variance231.17036
MonotonicityNot monotonic
2023-12-12T15:47:16.769200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
80.5 1
 
2.6%
39.4 1
 
2.6%
43.8 1
 
2.6%
31.6 1
 
2.6%
33.3 1
 
2.6%
33.8 1
 
2.6%
30.4 1
 
2.6%
24.9 1
 
2.6%
42.5 1
 
2.6%
37.6 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
24.9 1
2.6%
30.4 1
2.6%
31.6 1
2.6%
33.3 1
2.6%
33.8 1
2.6%
36.1 1
2.6%
37.6 1
2.6%
39.4 1
2.6%
42.5 1
2.6%
43.0 1
2.6%
ValueCountFrequency (%)
80.5 1
2.6%
77.4 1
2.6%
75.9 1
2.6%
75.6 1
2.6%
74.1 1
2.6%
70.8 1
2.6%
70.2 1
2.6%
69.5 1
2.6%
69.1 1
2.6%
65.9 1
2.6%

불승인율(퍼센트)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.315789
Minimum19.5
Maximum75.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T15:47:16.925568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.5
5-th percentile23.875
Q134.375
median39.35
Q356.975
95-th percentile68.58
Maximum75.1
Range55.6
Interquartile range (IQR)22.6

Descriptive statistics

Standard deviation15.206409
Coefficient of variation (CV)0.3431375
Kurtosis-0.99803694
Mean44.315789
Median Absolute Deviation (MAD)10.4
Skewness0.34482812
Sum1684
Variance231.23488
MonotonicityNot monotonic
2023-12-12T15:47:17.072801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
19.5 1
 
2.6%
60.6 1
 
2.6%
56.3 1
 
2.6%
68.4 1
 
2.6%
66.7 1
 
2.6%
66.2 1
 
2.6%
69.6 1
 
2.6%
75.1 1
 
2.6%
57.5 1
 
2.6%
62.4 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
19.5 1
2.6%
22.6 1
2.6%
24.1 1
2.6%
24.4 1
2.6%
25.9 1
2.6%
29.2 1
2.6%
29.8 1
2.6%
30.5 1
2.6%
30.9 1
2.6%
34.1 1
2.6%
ValueCountFrequency (%)
75.1 1
2.6%
69.6 1
2.6%
68.4 1
2.6%
66.7 1
2.6%
66.2 1
2.6%
63.9 1
2.6%
62.4 1
2.6%
60.6 1
2.6%
57.5 1
2.6%
57.0 1
2.6%

Interactions

2023-12-12T15:47:14.449176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:12.330060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:12.830198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:13.365403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:13.920728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:14.537728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:12.407486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:12.944835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:13.507633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:14.038499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:14.635843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:12.522343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:13.022616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:13.608491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:14.144890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:15.055548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:12.615424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:13.112784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:13.724622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:14.267591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:15.152471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:12.701394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:13.210314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:13.818025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:47:14.358335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:47:17.172221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연 도순직유족보상금 승인건수순직유족보상금 불승인건수승인율(퍼센트)불승인율(퍼센트)
연 도1.0000.7280.8660.9290.929
순직유족보상금 승인건수0.7281.0000.3640.2050.205
순직유족보상금 불승인건수0.8660.3641.0000.7520.752
승인율(퍼센트)0.9290.2050.7521.0001.000
불승인율(퍼센트)0.9290.2050.7521.0001.000
2023-12-12T15:47:17.328699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연 도순직유족보상금 승인건수순직유족보상금 불승인건수승인율(퍼센트)불승인율(퍼센트)
연 도1.000-0.753-0.364-0.7450.745
순직유족보상금 승인건수-0.7531.0000.5380.859-0.859
순직유족보상금 불승인건수-0.3640.5381.0000.093-0.093
승인율(퍼센트)-0.7450.8590.0931.000-1.000
불승인율(퍼센트)0.745-0.859-0.093-1.0001.000

Missing values

2023-12-12T15:47:15.270684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:47:15.398782image/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

연 도순직유족보상금 승인건수순직유족보상금 불승인건수승인율(퍼센트)불승인율(퍼센트)
019832766780.519.5
1198422615559.340.7
2198524913764.535.5
3198624915561.638.4
4198728312469.530.5
5198835911475.924.1
619893359877.422.6
7199037213074.125.9
8199136916569.130.9
9199235822161.838.2
연 도순직유족보상금 승인건수순직유족보상금 불승인건수승인율(퍼센트)불승인율(퍼센트)
2820119112342.557.5
2920126510039.460.6
3020137412337.662.4
312014668743.156.9
3220155710136.163.9
332016658643.057.0
342017737350.050.0
352018786953.146.9
362019766155.544.5
372020696551.548.5