Overview

Dataset statistics

Number of variables3
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory699.0 B
Average record size in memory33.3 B

Variable types

Numeric3

Dataset

Description병역판정검사 결과 현역 처분 현황에 대한 데이터로 2019년 2018년 2017년 2016년 2015년 ~1999년 수검인원 현역처분 현황을 제공합니다.
Author병무청
URLhttps://www.data.go.kr/data/15076676/fileData.do

Alerts

수검인원 is highly overall correlated with 현역처분High correlation
현역처분 is highly overall correlated with 수검인원High correlation
구분 has unique valuesUnique
수검인원 has unique valuesUnique
현역처분 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:51:06.246791
Analysis finished2023-12-12 09:51:07.368828
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2009
Minimum1999
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T18:51:07.432984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1999
5-th percentile2000
Q12004
median2009
Q32014
95-th percentile2018
Maximum2019
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.0030885201
Kurtosis-1.2
Mean2009
Median Absolute Deviation (MAD)5
Skewness0
Sum42189
Variance38.5
MonotonicityStrictly decreasing
2023-12-12T18:51:07.593930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2019 1
 
4.8%
2018 1
 
4.8%
1999 1
 
4.8%
2000 1
 
4.8%
2001 1
 
4.8%
2002 1
 
4.8%
2003 1
 
4.8%
2004 1
 
4.8%
2005 1
 
4.8%
2006 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1999 1
4.8%
2000 1
4.8%
2001 1
4.8%
2002 1
4.8%
2003 1
4.8%
2004 1
4.8%
2005 1
4.8%
2006 1
4.8%
2007 1
4.8%
2008 1
4.8%
ValueCountFrequency (%)
2019 1
4.8%
2018 1
4.8%
2017 1
4.8%
2016 1
4.8%
2015 1
4.8%
2014 1
4.8%
2013 1
4.8%
2012 1
4.8%
2011 1
4.8%
2010 1
4.8%

수검인원
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean345434.1
Minimum302587
Maximum407592
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T18:51:07.716610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum302587
5-th percentile312795
Q1323001
median339716
Q3364148
95-th percentile406440
Maximum407592
Range105005
Interquartile range (IQR)41147

Descriptive statistics

Standard deviation31825.196
Coefficient of variation (CV)0.092131021
Kurtosis-0.48904679
Mean345434.1
Median Absolute Deviation (MAD)24111
Skewness0.6872644
Sum7254116
Variance1.0128431 × 109
MonotonicityNot monotonic
2023-12-12T18:51:07.828977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
323763 1
 
4.8%
315698 1
 
4.8%
406440 1
 
4.8%
407592 1
 
4.8%
398653 1
 
4.8%
367024 1
 
4.8%
329626 1
 
4.8%
323001 1
 
4.8%
313378 1
 
4.8%
302587 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
302587 1
4.8%
312795 1
4.8%
312919 1
4.8%
313378 1
4.8%
315698 1
4.8%
323001 1
4.8%
323763 1
4.8%
323800 1
4.8%
324818 1
4.8%
329626 1
4.8%
ValueCountFrequency (%)
407592 1
4.8%
406440 1
4.8%
398653 1
4.8%
367024 1
4.8%
365052 1
4.8%
364148 1
4.8%
363827 1
4.8%
361202 1
4.8%
350828 1
4.8%
347249 1
4.8%

현역처분
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean301829.81
Minimum253936
Maximum350203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T18:51:07.954063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum253936
5-th percentile263338
Q1279693
median291094
Q3329751
95-th percentile350119
Maximum350203
Range96267
Interquartile range (IQR)50058

Descriptive statistics

Standard deviation30383.005
Coefficient of variation (CV)0.1006627
Kurtosis-1.3318922
Mean301829.81
Median Absolute Deviation (MAD)25116
Skewness0.19008529
Sum6338426
Variance9.2312698 × 108
MonotonicityNot monotonic
2023-12-12T18:51:08.080148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
263338 1
 
4.8%
253936 1
 
4.8%
350203 1
 
4.8%
350119 1
 
4.8%
340014 1
 
4.8%
311543 1
 
4.8%
279693 1
 
4.8%
290734 1
 
4.8%
282951 1
 
4.8%
273055 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
253936 1
4.8%
263338 1
4.8%
264297 1
4.8%
273055 1
4.8%
277485 1
4.8%
279693 1
4.8%
281222 1
4.8%
282260 1
4.8%
282951 1
4.8%
290734 1
4.8%
ValueCountFrequency (%)
350203 1
4.8%
350119 1
4.8%
340014 1
4.8%
333847 1
4.8%
333227 1
4.8%
329751 1
4.8%
328974 1
4.8%
316210 1
4.8%
311543 1
4.8%
304473 1
4.8%

Interactions

2023-12-12T18:51:06.905898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:51:06.321611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:51:06.636171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:51:07.022971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:51:06.428613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:51:06.738999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:51:07.126731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:51:06.523308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:51:06.822753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:51:08.179371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분수검인원현역처분
구분1.0000.7820.643
수검인원0.7821.0000.747
현역처분0.6430.7471.000
2023-12-12T18:51:08.284840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분수검인원현역처분
구분1.000-0.288-0.484
수검인원-0.2881.0000.851
현역처분-0.4840.8511.000

Missing values

2023-12-12T18:51:07.233518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:51:07.340455image/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

구분수검인원현역처분
02019323763263338
12018315698253936
22017323800264297
32016339716281222
42015350828304473
52014363827328974
62013364148333227
72012361202329751
82011365052333847
92010347249316210
구분수검인원현역처분
112008312919277485
122007312795282260
132006302587273055
142005313378282951
152004323001290734
162003329626279693
172002367024311543
182001398653340014
192000407592350119
201999406440350203