Overview

Dataset statistics

Number of variables5
Number of observations60
Missing cells6
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory46.2 B

Variable types

Numeric4
Categorical1

Dataset

Description육군 해군 공군 각 간부 태권도 유단자 현황으로 세부항목은 순번, 년도, 군별, 인원, 비율로 구성됩니다. 각군의 태권도 유단자 현황을 확인할 수 있습니다.
Author국방부
URLhttps://www.data.go.kr/data/3066533/fileData.do

Alerts

순번 is highly overall correlated with 년도High correlation
년도 is highly overall correlated with 순번High correlation
인원 is highly overall correlated with 군별High correlation
비율(퍼센트) is highly overall correlated with 군별High correlation
군별 is highly overall correlated with 인원 and 1 other fieldsHigh correlation
인원 has 3 (5.0%) missing valuesMissing
비율(퍼센트) has 3 (5.0%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:33:33.755586
Analysis finished2023-12-12 14:33:36.017259
Duration2.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.5
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:33:36.116840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.95
Q115.75
median30.5
Q345.25
95-th percentile57.05
Maximum60
Range59
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation17.464249
Coefficient of variation (CV)0.57259833
Kurtosis-1.2
Mean30.5
Median Absolute Deviation (MAD)15
Skewness0
Sum1830
Variance305
MonotonicityStrictly increasing
2023-12-12T23:33:36.297353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
32 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
41 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
60 1
1.7%
59 1
1.7%
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%

년도
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014
Minimum2007
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:33:36.445765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2007
5-th percentile2007
Q12010
median2014
Q32018
95-th percentile2021
Maximum2021
Range14
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.3569543
Coefficient of variation (CV)0.0021633338
Kurtosis-1.2109379
Mean2014
Median Absolute Deviation (MAD)4
Skewness0
Sum120840
Variance18.983051
MonotonicityIncreasing
2023-12-12T23:33:36.576217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2007 4
 
6.7%
2008 4
 
6.7%
2009 4
 
6.7%
2010 4
 
6.7%
2011 4
 
6.7%
2012 4
 
6.7%
2013 4
 
6.7%
2014 4
 
6.7%
2015 4
 
6.7%
2016 4
 
6.7%
Other values (5) 20
33.3%
ValueCountFrequency (%)
2007 4
6.7%
2008 4
6.7%
2009 4
6.7%
2010 4
6.7%
2011 4
6.7%
2012 4
6.7%
2013 4
6.7%
2014 4
6.7%
2015 4
6.7%
2016 4
6.7%
ValueCountFrequency (%)
2021 4
6.7%
2020 4
6.7%
2019 4
6.7%
2018 4
6.7%
2017 4
6.7%
2016 4
6.7%
2015 4
6.7%
2014 4
6.7%
2013 4
6.7%
2012 4
6.7%

군별
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
육군
15 
해군
15 
공군
15 
해병대
15 

Length

Max length3
Median length2
Mean length2.25
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row육군
2nd row해군
3rd row공군
4th row해병대
5th row육군

Common Values

ValueCountFrequency (%)
육군 15
25.0%
해군 15
25.0%
공군 15
25.0%
해병대 15
25.0%

Length

2023-12-12T23:33:36.715505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:33:36.837348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
육군 15
25.0%
해군 15
25.0%
공군 15
25.0%
해병대 15
25.0%

인원
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct55
Distinct (%)96.5%
Missing3
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean19197.754
Minimum4087
Maximum74316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:33:36.962414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4087
5-th percentile4296
Q14682
median8731
Q310821
95-th percentile66823.8
Maximum74316
Range70229
Interquartile range (IQR)6139

Descriptive statistics

Standard deviation23822.01
Coefficient of variation (CV)1.2408748
Kurtosis0.22988903
Mean19197.754
Median Absolute Deviation (MAD)3903
Skewness1.4521485
Sum1094272
Variance5.6748815 × 108
MonotonicityNot monotonic
2023-12-12T23:33:37.142369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4611 2
 
3.3%
4296 2
 
3.3%
10328 1
 
1.7%
5690 1
 
1.7%
5823 1
 
1.7%
13902 1
 
1.7%
5720 1
 
1.7%
66230 1
 
1.7%
6931 1
 
1.7%
8731 1
 
1.7%
Other values (45) 45
75.0%
(Missing) 3
 
5.0%
ValueCountFrequency (%)
4087 1
1.7%
4258 1
1.7%
4296 2
3.3%
4430 1
1.7%
4438 1
1.7%
4465 1
1.7%
4537 1
1.7%
4538 1
1.7%
4550 1
1.7%
4611 2
3.3%
ValueCountFrequency (%)
74316 1
1.7%
69200 1
1.7%
69199 1
1.7%
66230 1
1.7%
65093 1
1.7%
64556 1
1.7%
63853 1
1.7%
63125 1
1.7%
62348 1
1.7%
60513 1
1.7%

비율(퍼센트)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct50
Distinct (%)87.7%
Missing3
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean47
Minimum10.2
Maximum81.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:33:37.291255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.2
5-th percentile12.7
Q132.1
median47.1
Q363.4
95-th percentile78
Maximum81.4
Range71.2
Interquartile range (IQR)31.3

Descriptive statistics

Standard deviation21.099492
Coefficient of variation (CV)0.44892537
Kurtosis-1.123041
Mean47
Median Absolute Deviation (MAD)16.1
Skewness-0.074345801
Sum2679
Variance445.18857
MonotonicityNot monotonic
2023-12-12T23:33:37.429009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.7 3
 
5.0%
37.9 2
 
3.3%
32.1 2
 
3.3%
62.7 2
 
3.3%
29.5 2
 
3.3%
14.1 2
 
3.3%
47.1 1
 
1.7%
55.8 1
 
1.7%
60.4 1
 
1.7%
26.8 1
 
1.7%
Other values (40) 40
66.7%
(Missing) 3
 
5.0%
ValueCountFrequency (%)
10.2 1
 
1.7%
12.7 3
5.0%
14.0 1
 
1.7%
14.1 2
3.3%
17.1 1
 
1.7%
26.8 1
 
1.7%
29.1 1
 
1.7%
29.4 1
 
1.7%
29.5 2
3.3%
31.0 1
 
1.7%
ValueCountFrequency (%)
81.4 1
1.7%
81.1 1
1.7%
78.4 1
1.7%
77.9 1
1.7%
77.8 1
1.7%
77.4 1
1.7%
76.4 1
1.7%
76.2 1
1.7%
69.1 1
1.7%
68.0 1
1.7%

Interactions

2023-12-12T23:33:35.230615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:33.897239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:34.279226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:34.776407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:35.333423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:33.992622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:34.460537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:34.892838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:35.467516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:34.078318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:34.572654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:34.998829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:35.584990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:34.173879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:34.679251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:33:35.106844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:33:37.551217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번년도군별인원비율(퍼센트)
순번1.0000.9880.0000.3900.238
년도0.9881.0000.0000.0000.000
군별0.0000.0001.0000.6180.878
인원0.3900.0000.6181.0000.647
비율(퍼센트)0.2380.0000.8780.6471.000
2023-12-12T23:33:37.669170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번년도인원비율(퍼센트)군별
순번1.0000.9980.3170.0460.000
년도0.9981.0000.3530.0200.000
인원0.3170.3531.0000.0480.541
비율(퍼센트)0.0460.0200.0481.0000.746
군별0.0000.0000.5410.7461.000

Missing values

2023-12-12T23:33:35.722659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:33:35.846963image/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.
2023-12-12T23:33:35.956464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

순번년도군별인원비율(퍼센트)
012007육군<NA><NA>
122007해군429610.2
232007공군1023338.8
342007해병대429681.1
452008육군<NA><NA>
562008해군461114.1
672008공군1032838.5
782008해병대461181.4
892009육군<NA><NA>
9102009해군443812.7
순번년도군별인원비율(퍼센트)
50512019공군1067332.5
51522019해병대515469.1
52532020육군6455656.9
53542020해군874242.4
54552020공군1102032.1
55562020해병대538362.7
56572021육군6920055.8
57582021해군964747.1
58592021공군1060029.1
59602021해병대529166.3