Overview

Dataset statistics

Number of variables6
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory55.2 B

Variable types

Numeric5
Categorical1

Dataset

Description최근 10년 간 군인과 군무원 정원 (군무원은 전군 통합) 정보입니다. 최근 10년 간 군인과 군무원 정원 (군무원은 전군 통합) 정보입니다.
Author국방부
URLhttps://www.data.go.kr/data/15060542/fileData.do

Alerts

장교(만명) is highly overall correlated with 부사관(만명) and 3 other fieldsHigh correlation
부사관(만명) is highly overall correlated with 장교(만명) and 3 other fieldsHigh correlation
병(만명) is highly overall correlated with 장교(만명) and 2 other fieldsHigh correlation
군무원(만명) is highly overall correlated with 장교(만명) and 2 other fieldsHigh correlation
구분 is highly overall correlated with 장교(만명) and 1 other fieldsHigh correlation
장교(만명) has 12 (20.0%) zerosZeros
부사관(만명) has 12 (20.0%) zerosZeros
병(만명) has 12 (20.0%) zerosZeros
군무원(만명) has 48 (80.0%) zerosZeros

Reproduction

Analysis started2023-12-12 22:44:58.309661
Analysis finished2023-12-12 22:45:00.563215
Duration2.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct12
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.5
Minimum2010
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:45:00.858300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2010
Q12012.75
median2015.5
Q32018.25
95-th percentile2021
Maximum2021
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.4811843
Coefficient of variation (CV)0.0017272063
Kurtosis-1.2175447
Mean2015.5
Median Absolute Deviation (MAD)3
Skewness0
Sum120930
Variance12.118644
MonotonicityIncreasing
2023-12-13T07:45:00.960161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2010 5
8.3%
2011 5
8.3%
2012 5
8.3%
2013 5
8.3%
2014 5
8.3%
2015 5
8.3%
2016 5
8.3%
2017 5
8.3%
2018 5
8.3%
2019 5
8.3%
Other values (2) 10
16.7%
ValueCountFrequency (%)
2010 5
8.3%
2011 5
8.3%
2012 5
8.3%
2013 5
8.3%
2014 5
8.3%
2015 5
8.3%
2016 5
8.3%
2017 5
8.3%
2018 5
8.3%
2019 5
8.3%
ValueCountFrequency (%)
2021 5
8.3%
2020 5
8.3%
2019 5
8.3%
2018 5
8.3%
2017 5
8.3%
2016 5
8.3%
2015 5
8.3%
2014 5
8.3%
2013 5
8.3%
2012 5
8.3%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
육
12 
해
12 
해병
12 
공
12 
군무원
12 

Length

Max length3
Median length1
Mean length1.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row육
2nd row해
3rd row해병
4th row공
5th row군무원

Common Values

ValueCountFrequency (%)
육 12
20.0%
해 12
20.0%
해병 12
20.0%
공 12
20.0%
군무원 12
20.0%

Length

2023-12-13T07:45:01.086934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:45:01.200496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
육 12
20.0%
해 12
20.0%
해병 12
20.0%
공 12
20.0%
군무원 12
20.0%

장교(만명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4233333
Minimum0
Maximum5.2
Zeros12
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:45:01.301870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.2
median0.7
Q31.2
95-th percentile5.105
Maximum5.2
Range5.2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8886249
Coefficient of variation (CV)1.3269027
Kurtosis0.14788749
Mean1.4233333
Median Absolute Deviation (MAD)0.5
Skewness1.3747256
Sum85.4
Variance3.566904
MonotonicityNot monotonic
2023-12-13T07:45:01.399353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.7 12
20.0%
0.2 12
20.0%
0.0 12
20.0%
1.1 8
13.3%
5.1 6
10.0%
1.2 4
 
6.7%
5.2 3
 
5.0%
4.9 2
 
3.3%
5.0 1
 
1.7%
ValueCountFrequency (%)
0.0 12
20.0%
0.2 12
20.0%
0.7 12
20.0%
1.1 8
13.3%
1.2 4
 
6.7%
4.9 2
 
3.3%
5.0 1
 
1.7%
5.1 6
10.0%
5.2 3
 
5.0%
ValueCountFrequency (%)
5.2 3
 
5.0%
5.1 6
10.0%
5.0 1
 
1.7%
4.9 2
 
3.3%
1.2 4
 
6.7%
1.1 8
13.3%
0.7 12
20.0%
0.2 12
20.0%
0.0 12
20.0%

부사관(만명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4216667
Minimum0
Maximum8.6
Zeros12
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:45:01.495057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.6
median1.8
Q31.9
95-th percentile8.4
Maximum8.6
Range8.6
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation2.8302897
Coefficient of variation (CV)1.1687363
Kurtosis0.18373896
Mean2.4216667
Median Absolute Deviation (MAD)1.2
Skewness1.3189421
Sum145.3
Variance8.0105395
MonotonicityNot monotonic
2023-12-13T07:45:01.626129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 12
20.0%
1.9 11
18.3%
0.6 8
13.3%
1.8 6
10.0%
1.7 5
8.3%
8.4 3
 
5.0%
7.0 2
 
3.3%
0.5 2
 
3.3%
2.0 2
 
3.3%
0.7 2
 
3.3%
Other values (7) 7
11.7%
ValueCountFrequency (%)
0.0 12
20.0%
0.5 2
 
3.3%
0.6 8
13.3%
0.7 2
 
3.3%
1.7 5
8.3%
1.8 6
10.0%
1.9 11
18.3%
2.0 2
 
3.3%
7.0 2
 
3.3%
7.2 1
 
1.7%
ValueCountFrequency (%)
8.6 1
 
1.7%
8.4 3
5.0%
8.2 1
 
1.7%
8.0 1
 
1.7%
7.7 1
 
1.7%
7.6 1
 
1.7%
7.4 1
 
1.7%
7.2 1
 
1.7%
7.0 2
3.3%
2.0 2
3.3%

병(만명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3983333
Minimum0
Maximum39.8
Zeros12
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:45:01.726456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.675
median2
Q33.5
95-th percentile37.63
Maximum39.8
Range39.8
Interquartile range (IQR)1.825

Descriptive statistics

Standard deviation13.50108
Coefficient of variation (CV)1.6075903
Kurtosis0.66037994
Mean8.3983333
Median Absolute Deviation (MAD)1.5
Skewness1.5801922
Sum503.9
Variance182.27915
MonotonicityNot monotonic
2023-12-13T07:45:01.829160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 12
20.0%
3.5 9
15.0%
1.7 9
15.0%
2.0 6
10.0%
2.1 5
8.3%
3.4 2
 
3.3%
1.6 2
 
3.3%
39.8 1
 
1.7%
31.0 1
 
1.7%
3.3 1
 
1.7%
Other values (12) 12
20.0%
ValueCountFrequency (%)
0.0 12
20.0%
1.5 1
 
1.7%
1.6 2
 
3.3%
1.7 9
15.0%
1.9 1
 
1.7%
2.0 6
10.0%
2.1 5
8.3%
3.3 1
 
1.7%
3.4 2
 
3.3%
3.5 9
15.0%
ValueCountFrequency (%)
39.8 1
1.7%
39.3 1
1.7%
38.2 1
1.7%
37.6 1
1.7%
36.9 1
1.7%
36.6 1
1.7%
35.9 1
1.7%
35.0 1
1.7%
32.9 1
1.7%
31.0 1
1.7%

군무원(만명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.57
Minimum0
Maximum4
Zeros48
Zeros (%)80.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T07:45:01.944158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.725
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1671056
Coefficient of variation (CV)2.0475538
Kurtosis1.1034949
Mean0.57
Median Absolute Deviation (MAD)0
Skewness1.6697703
Sum34.2
Variance1.3621356
MonotonicityNot monotonic
2023-12-13T07:45:02.065135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 48
80.0%
2.6 8
 
13.3%
2.7 1
 
1.7%
3.2 1
 
1.7%
3.5 1
 
1.7%
4.0 1
 
1.7%
ValueCountFrequency (%)
0.0 48
80.0%
2.6 8
 
13.3%
2.7 1
 
1.7%
3.2 1
 
1.7%
3.5 1
 
1.7%
4.0 1
 
1.7%
ValueCountFrequency (%)
4.0 1
 
1.7%
3.5 1
 
1.7%
3.2 1
 
1.7%
2.7 1
 
1.7%
2.6 8
 
13.3%
0.0 48
80.0%

Interactions

2023-12-13T07:45:00.013565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:58.497694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:58.898131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:59.262282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:59.632182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:45:00.099573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:58.575385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:58.976893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:59.344371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:59.704961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:45:00.175372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:58.661021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:59.047267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:59.411819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:59.785026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:45:00.248013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:58.733197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:59.113441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:59.472850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:59.853945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:45:00.331852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:58.816884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:59.188179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:59.547749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:44:59.929483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:45:02.161252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도구분장교(만명)부사관(만명)병(만명)군무원(만명)
연도1.0000.0000.0000.0000.0000.000
구분0.0001.0001.0000.9640.8170.607
장교(만명)0.0001.0001.0000.8710.6070.616
부사관(만명)0.0000.9640.8711.0000.9260.301
병(만명)0.0000.8170.6070.9261.0000.000
군무원(만명)0.0000.6070.6160.3010.0001.000
2023-12-13T07:45:02.256445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도장교(만명)부사관(만명)병(만명)군무원(만명)구분
연도1.000-0.0040.111-0.1040.0400.000
장교(만명)-0.0041.0000.9760.886-0.6990.991
부사관(만명)0.1110.9761.0000.855-0.6950.731
병(만명)-0.1040.8860.8551.000-0.6950.442
군무원(만명)0.040-0.699-0.695-0.6951.0000.442
구분0.0000.9910.7310.4420.4421.000

Missing values

2023-12-13T07:45:00.441752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:45:00.522801image/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

연도구분장교(만명)부사관(만명)병(만명)군무원(만명)
02010육5.27.039.80.0
12010해0.71.81.70.0
22010해병0.20.52.00.0
32010공1.11.93.50.0
42010군무원0.00.00.02.6
52011육5.27.039.30.0
62011해0.71.81.70.0
72011해병0.20.52.00.0
82011공1.11.93.50.0
92011군무원0.00.00.02.6
연도구분장교(만명)부사관(만명)병(만명)군무원(만명)
502020육4.98.428.60.0
512020해0.71.81.60.0
522020해병0.20.72.00.0
532020공1.22.03.40.0
542020군무원0.00.00.03.5
552021육4.98.626.10.0
562021해0.71.91.50.0
572021해병0.20.71.90.0
582021공1.22.03.30.0
592021군무원0.00.00.04.0