Overview

Dataset statistics

Number of variables17
Number of observations32
Missing cells26
Missing cells (%)4.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory143.1 B

Variable types

Categorical14
Numeric3

Alerts

12월 is highly overall correlated with 차수 and 12 other fieldsHigh correlation
6월 is highly overall correlated with 차수 and 7 other fieldsHigh correlation
10월 is highly overall correlated with 차수 and 8 other fieldsHigh correlation
차수 is highly overall correlated with 인원 and 12 other fieldsHigh correlation
인원 is highly overall correlated with 차수 and 6 other fieldsHigh correlation
1월 is highly overall correlated with 차수 and 3 other fieldsHigh correlation
2월 is highly overall correlated with 차수 and 7 other fieldsHigh correlation
3월 is highly overall correlated with 차수 and 2 other fieldsHigh correlation
4월 is highly overall correlated with 차수 and 5 other fieldsHigh correlation
5월 is highly overall correlated with 차수 and 7 other fieldsHigh correlation
7월 is highly overall correlated with 차수 and 7 other fieldsHigh correlation
8월 is highly overall correlated with 차수 and 2 other fieldsHigh correlation
9월 is highly overall correlated with 차수 and 8 other fieldsHigh correlation
11월 is highly overall correlated with 차수 and 6 other fieldsHigh correlation
1월 is highly imbalanced (60.1%)Imbalance
2월 is highly imbalanced (56.7%)Imbalance
3월 is highly imbalanced (50.0%)Imbalance
4월 is highly imbalanced (50.0%)Imbalance
6월 is highly imbalanced (56.7%)Imbalance
7월 is highly imbalanced (56.7%)Imbalance
8월 is highly imbalanced (61.8%)Imbalance
9월 is highly imbalanced (53.4%)Imbalance
11월 is highly imbalanced (53.4%)Imbalance
12월 is highly imbalanced (63.4%)Imbalance
시간 has 2 (6.2%) missing valuesMissing
차수 has 12 (37.5%) missing valuesMissing
인원 has 12 (37.5%) missing valuesMissing

Reproduction

Analysis started2024-04-17 10:22:15.766964
Analysis finished2024-04-17 10:22:18.081686
Duration2.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구 분
Categorical

Distinct14
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
보안검색요원
5 
항공경비요원
4 
항공보안교관
2 
공항/항공사 보안 책임자(감독자)
2 
보안유관부서
2 
Other values (9)
17 

Length

Max length18
Median length13
Mean length7.59375
Min length4

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row항공보안교관
2nd row항공보안교관
3rd row공항/항공사 보안 책임자(감독자)
4th row공항/항공사 보안 책임자(감독자)
5th row보안유관부서

Common Values

ValueCountFrequency (%)
보안검색요원 5
15.6%
항공경비요원 4
12.5%
항공보안교관 2
 
6.2%
공항/항공사 보안 책임자(감독자) 2
 
6.2%
보안유관부서 2
 
6.2%
보안검색감독자 2
 
6.2%
항공경비감독자 2
 
6.2%
폭발물처리요원 2
 
6.2%
폭발물위협분석관 2
 
6.2%
항공보안장비 유지보수요원 2
 
6.2%
Other values (4) 7
21.9%

Length

2024-04-17T19:22:18.141717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보안검색요원 5
 
12.5%
항공경비요원 4
 
10.0%
na 2
 
5.0%
보안요원 2
 
5.0%
대외기관 2
 
5.0%
행동탐지요원 2
 
5.0%
유지보수요원 2
 
5.0%
항공보안장비 2
 
5.0%
폭발물위협분석관 2
 
5.0%
폭발물처리요원 2
 
5.0%
Other values (8) 15
37.5%

교육과정
Categorical

Distinct12
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
정기
10 
초기
9 
인증평가
3 
<NA>
2 
교관
 
1
Other values (7)
7 

Length

Max length7
Median length2
Mean length3
Min length2

Unique

Unique8 ?
Unique (%)25.0%

Sample

1st row교관
2nd row인증평가
3rd row초기
4th row정기
5th row초기

Common Values

ValueCountFrequency (%)
정기 10
31.2%
초기 9
28.1%
인증평가 3
 
9.4%
<NA> 2
 
6.2%
교관 1
 
3.1%
EDS판독 1
 
3.1%
재교육(8) 1
 
3.1%
재교육 1
 
3.1%
직무 1
 
3.1%
보안검색스킬 1
 
3.1%
Other values (2) 2
 
6.2%

Length

2024-04-17T19:22:18.242086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
정기 10
31.2%
초기 9
28.1%
인증평가 3
 
9.4%
na 2
 
6.2%
교관 1
 
3.1%
eds판독 1
 
3.1%
재교육(8 1
 
3.1%
재교육 1
 
3.1%
직무 1
 
3.1%
보안검색스킬 1
 
3.1%
Other values (2) 2
 
6.2%

시간
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)26.7%
Missing2
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean13.3
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-17T19:22:18.327705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q316
95-th percentile40
Maximum40
Range39
Interquartile range (IQR)11

Descriptive statistics

Standard deviation12.387842
Coefficient of variation (CV)0.93141667
Kurtosis0.67291464
Mean13.3
Median Absolute Deviation (MAD)4
Skewness1.3904166
Sum399
Variance153.45862
MonotonicityNot monotonic
2024-04-17T19:22:18.422179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 12
37.5%
4 5
15.6%
40 4
 
12.5%
16 4
 
12.5%
2 2
 
6.2%
30 1
 
3.1%
1 1
 
3.1%
24 1
 
3.1%
(Missing) 2
 
6.2%
ValueCountFrequency (%)
1 1
 
3.1%
2 2
 
6.2%
4 5
15.6%
8 12
37.5%
16 4
 
12.5%
24 1
 
3.1%
30 1
 
3.1%
40 4
 
12.5%
ValueCountFrequency (%)
40 4
 
12.5%
30 1
 
3.1%
24 1
 
3.1%
16 4
 
12.5%
8 12
37.5%
4 5
15.6%
2 2
 
6.2%
1 1
 
3.1%

1월
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
미정
27 
<NA>
 
2
11일,12일,13일,16일,17일,18일,19일,20일
 
1
16일~19일,17일~20일,30일~2일,30일~2일
 
1
27일
 
1

Length

Max length31
Median length2
Mean length3.90625
Min length2

Unique

Unique3 ?
Unique (%)9.4%

Sample

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

Common Values

ValueCountFrequency (%)
미정 27
84.4%
<NA> 2
 
6.2%
11일,12일,13일,16일,17일,18일,19일,20일 1
 
3.1%
16일~19일,17일~20일,30일~2일,30일~2일 1
 
3.1%
27일 1
 
3.1%

Length

2024-04-17T19:22:18.526485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:22:18.624212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미정 27
84.4%
na 2
 
6.2%
11일,12일,13일,16일,17일,18일,19일,20일 1
 
3.1%
16일~19일,17일~20일,30일~2일,30일~2일 1
 
3.1%
27일 1
 
3.1%

2월
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
미정
26 
<NA>
 
2
9일
 
1
6일~10일, 13일~17일,20일~24일
 
1
14일,15일,16일,17일,20일,21일,22일,23일,24일
 
1

Length

Max length35
Median length2
Mean length4
Min length2

Unique

Unique4 ?
Unique (%)12.5%

Sample

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

Common Values

ValueCountFrequency (%)
미정 26
81.2%
<NA> 2
 
6.2%
9일 1
 
3.1%
6일~10일, 13일~17일,20일~24일 1
 
3.1%
14일,15일,16일,17일,20일,21일,22일,23일,24일 1
 
3.1%
6일,7일,8일 1
 
3.1%

Length

2024-04-17T19:22:18.736626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:22:18.837959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미정 26
78.8%
na 2
 
6.1%
9일 1
 
3.0%
6일~10일 1
 
3.0%
13일~17일,20일~24일 1
 
3.0%
14일,15일,16일,17일,20일,21일,22일,23일,24일 1
 
3.0%
6일,7일,8일 1
 
3.0%

3월
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
미정
24 
<NA>
 
2
29일
 
1
23일
 
1
10일
 
1
Other values (3)
3 

Length

Max length35
Median length2
Mean length4
Min length2

Unique

Unique6 ?
Unique (%)18.8%

Sample

1st row미정
2nd row29일
3rd row미정
4th row미정
5th row미정

Common Values

ValueCountFrequency (%)
미정 24
75.0%
<NA> 2
 
6.2%
29일 1
 
3.1%
23일 1
 
3.1%
10일 1
 
3.1%
6일~10일, 13일~17일 1
 
3.1%
14일,15일,16일,17일,20일,21일,22일,23일,24일 1
 
3.1%
2일,7일,14일,28일 1
 
3.1%

Length

2024-04-17T19:22:18.950315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:22:19.056294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미정 24
72.7%
na 2
 
6.1%
29일 1
 
3.0%
23일 1
 
3.0%
10일 1
 
3.0%
6일~10일 1
 
3.0%
13일~17일 1
 
3.0%
14일,15일,16일,17일,20일,21일,22일,23일,24일 1
 
3.0%
2일,7일,14일,28일 1
 
3.0%

4월
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
미정
24 
<NA>
 
2
12일,13일,14일
 
1
20일
 
1
11일,12일,13일,14일,17일,18일,19일,20일,21일
 
1
Other values (3)
3 

Length

Max length35
Median length2
Mean length3.65625
Min length2

Unique

Unique6 ?
Unique (%)18.8%

Sample

1st row미정
2nd row미정
3rd row미정
4th row12일,13일,14일
5th row미정

Common Values

ValueCountFrequency (%)
미정 24
75.0%
<NA> 2
 
6.2%
12일,13일,14일 1
 
3.1%
20일 1
 
3.1%
11일,12일,13일,14일,17일,18일,19일,20일,21일 1
 
3.1%
4일 1
 
3.1%
20일~24일 1
 
3.1%
21일 1
 
3.1%

Length

2024-04-17T19:22:19.174085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:22:19.291908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미정 24
75.0%
na 2
 
6.2%
12일,13일,14일 1
 
3.1%
20일 1
 
3.1%
11일,12일,13일,14일,17일,18일,19일,20일,21일 1
 
3.1%
4일 1
 
3.1%
20일~24일 1
 
3.1%
21일 1
 
3.1%

5월
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
미정
24 
9일
 
2
<NA>
 
2
11일~12일
 
1
10일
 
1
Other values (2)
 
2

Length

Max length34
Median length2
Mean length3.46875
Min length2

Unique

Unique4 ?
Unique (%)12.5%

Sample

1st row미정
2nd row미정
3rd row11일~12일
4th row10일
5th row9일

Common Values

ValueCountFrequency (%)
미정 24
75.0%
9일 2
 
6.2%
<NA> 2
 
6.2%
11일~12일 1
 
3.1%
10일 1
 
3.1%
23일,24일 1
 
3.1%
9일,10일,11일,12일,15일,16일,17일,18일,19일 1
 
3.1%

Length

2024-04-17T19:22:19.411199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:22:19.509107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미정 24
75.0%
9일 2
 
6.2%
na 2
 
6.2%
11일~12일 1
 
3.1%
10일 1
 
3.1%
23일,24일 1
 
3.1%
9일,10일,11일,12일,15일,16일,17일,18일,19일 1
 
3.1%

6월
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
미정
26 
<NA>
 
2
15일
 
1
13일,14일,15일,16일,17일,18일,19일,20일,21일
 
1
20일,21일,22일,23일
 
1

Length

Max length35
Median length2
Mean length4
Min length2

Unique

Unique4 ?
Unique (%)12.5%

Sample

1st row미정
2nd row미정
3rd row미정
4th row15일
5th row미정

Common Values

ValueCountFrequency (%)
미정 26
81.2%
<NA> 2
 
6.2%
15일 1
 
3.1%
13일,14일,15일,16일,17일,18일,19일,20일,21일 1
 
3.1%
20일,21일,22일,23일 1
 
3.1%
12일~14일,19일~21일 1
 
3.1%

Length

2024-04-17T19:22:19.841238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:22:19.934524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미정 26
81.2%
na 2
 
6.2%
15일 1
 
3.1%
13일,14일,15일,16일,17일,18일,19일,20일,21일 1
 
3.1%
20일,21일,22일,23일 1
 
3.1%
12일~14일,19일~21일 1
 
3.1%

7월
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
미정
26 
<NA>
 
2
19일,20일
 
1
11일,12일,13일,14일,18일,19일,20일,21일,22일
 
1
10일~14일
 
1

Length

Max length35
Median length2
Mean length3.75
Min length2

Unique

Unique4 ?
Unique (%)12.5%

Sample

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

Common Values

ValueCountFrequency (%)
미정 26
81.2%
<NA> 2
 
6.2%
19일,20일 1
 
3.1%
11일,12일,13일,14일,18일,19일,20일,21일,22일 1
 
3.1%
10일~14일 1
 
3.1%
19일,20일,21일 1
 
3.1%

Length

2024-04-17T19:22:20.061489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:22:20.170994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미정 26
81.2%
na 2
 
6.2%
19일,20일 1
 
3.1%
11일,12일,13일,14일,18일,19일,20일,21일,22일 1
 
3.1%
10일~14일 1
 
3.1%
19일,20일,21일 1
 
3.1%

8월
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
미정
27 
7일,8일,9일,10일,11일,14일,16일,17일,18일
 
1
22일,23일,24일
 
1
23일
 
1
<NA>
 
1

Length

Max length32
Median length2
Mean length3.28125
Min length1

Unique

Unique5 ?
Unique (%)15.6%

Sample

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

Common Values

ValueCountFrequency (%)
미정 27
84.4%
7일,8일,9일,10일,11일,14일,16일,17일,18일 1
 
3.1%
22일,23일,24일 1
 
3.1%
23일 1
 
3.1%
<NA> 1
 
3.1%
` 1
 
3.1%

Length

2024-04-17T19:22:20.281131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:22:20.374081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미정 27
84.4%
7일,8일,9일,10일,11일,14일,16일,17일,18일 1
 
3.1%
22일,23일,24일 1
 
3.1%
23일 1
 
3.1%
na 1
 
3.1%
1
 
3.1%

9월
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
미정
25 
<NA>
 
2
5일
 
1
12일,13일,14일,15일,18일,19일,20일,21일,22일
 
1
14일
 
1
Other values (2)
 
2

Length

Max length35
Median length2
Mean length3.5
Min length2

Unique

Unique5 ?
Unique (%)15.6%

Sample

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

Common Values

ValueCountFrequency (%)
미정 25
78.1%
<NA> 2
 
6.2%
5일 1
 
3.1%
12일,13일,14일,15일,18일,19일,20일,21일,22일 1
 
3.1%
14일 1
 
3.1%
12일,13일 1
 
3.1%
20일~22일 1
 
3.1%

Length

2024-04-17T19:22:20.476576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:22:20.567950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미정 25
78.1%
na 2
 
6.2%
5일 1
 
3.1%
12일,13일,14일,15일,18일,19일,20일,21일,22일 1
 
3.1%
14일 1
 
3.1%
12일,13일 1
 
3.1%
20일~22일 1
 
3.1%

10월
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
미정
23 
<NA>
 
2
17일,18일
 
1
1일~31일
 
1
11일
 
1
Other values (4)
4 

Length

Max length35
Median length2
Mean length3.9375
Min length2

Unique

Unique7 ?
Unique (%)21.9%

Sample

1st row미정
2nd row미정
3rd row미정
4th row17일,18일
5th row미정

Common Values

ValueCountFrequency (%)
미정 23
71.9%
<NA> 2
 
6.2%
17일,18일 1
 
3.1%
1일~31일 1
 
3.1%
11일 1
 
3.1%
10일,11일,12일,13일,16일,17일,18일,19일,20일 1
 
3.1%
23일~27일 1
 
3.1%
12일,13일 1
 
3.1%
25일~27일 1
 
3.1%

Length

2024-04-17T19:22:20.676391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:22:20.786615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미정 23
71.9%
na 2
 
6.2%
17일,18일 1
 
3.1%
1일~31일 1
 
3.1%
11일 1
 
3.1%
10일,11일,12일,13일,16일,17일,18일,19일,20일 1
 
3.1%
23일~27일 1
 
3.1%
12일,13일 1
 
3.1%
25일~27일 1
 
3.1%

11월
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
미정
25 
<NA>
 
2
23일
 
1
17일
 
1
14일,15일,16일,17일,20일,21일,22일,23일,24일
 
1
Other values (2)
 
2

Length

Max length35
Median length2
Mean length3.625
Min length2

Unique

Unique5 ?
Unique (%)15.6%

Sample

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

Common Values

ValueCountFrequency (%)
미정 25
78.1%
<NA> 2
 
6.2%
23일 1
 
3.1%
17일 1
 
3.1%
14일,15일,16일,17일,20일,21일,22일,23일,24일 1
 
3.1%
6일,13일,20일 1
 
3.1%
15일,16일 1
 
3.1%

Length

2024-04-17T19:22:20.901495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:22:21.005807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미정 25
78.1%
na 2
 
6.2%
23일 1
 
3.1%
17일 1
 
3.1%
14일,15일,16일,17일,20일,21일,22일,23일,24일 1
 
3.1%
6일,13일,20일 1
 
3.1%
15일,16일 1
 
3.1%

12월
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
미정
28 
<NA>
 
2
15일
 
1
12일,13일,14일,15일,18일,19일,20일,21일,22일
 
1

Length

Max length35
Median length2
Mean length3.1875
Min length2

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
미정 28
87.5%
<NA> 2
 
6.2%
15일 1
 
3.1%
12일,13일,14일,15일,18일,19일,20일,21일,22일 1
 
3.1%

Length

2024-04-17T19:22:21.171630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:22:21.267138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미정 28
87.5%
na 2
 
6.2%
15일 1
 
3.1%
12일,13일,14일,15일,18일,19일,20일,21일,22일 1
 
3.1%

차수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)35.0%
Missing12
Missing (%)37.5%
Infinite0
Infinite (%)0.0%
Mean8.95
Minimum1
Maximum107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-17T19:22:21.365451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.5
median4
Q35
95-th percentile15.8
Maximum107
Range106
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation23.211782
Coefficient of variation (CV)2.5934952
Kurtosis19.468033
Mean8.95
Median Absolute Deviation (MAD)1
Skewness4.3886645
Sum179
Variance538.78684
MonotonicityNot monotonic
2024-04-17T19:22:21.464768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 5
15.6%
4 5
15.6%
3 4
 
12.5%
7 2
 
6.2%
5 2
 
6.2%
107 1
 
3.1%
11 1
 
3.1%
(Missing) 12
37.5%
ValueCountFrequency (%)
1 5
15.6%
3 4
12.5%
4 5
15.6%
5 2
 
6.2%
7 2
 
6.2%
11 1
 
3.1%
107 1
 
3.1%
ValueCountFrequency (%)
107 1
 
3.1%
11 1
 
3.1%
7 2
 
6.2%
5 2
 
6.2%
4 5
15.6%
3 4
12.5%
1 5
15.6%

인원
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct15
Distinct (%)75.0%
Missing12
Missing (%)37.5%
Infinite0
Infinite (%)0.0%
Mean275.5
Minimum1
Maximum2300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-17T19:22:21.560568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.8
Q131.75
median90
Q3150
95-th percentile1777.5
Maximum2300
Range2299
Interquartile range (IQR)118.25

Descriptive statistics

Standard deviation608.36403
Coefficient of variation (CV)2.2082179
Kurtosis7.8347636
Mean275.5
Median Absolute Deviation (MAD)60
Skewness2.9423555
Sum5510
Variance370106.79
MonotonicityNot monotonic
2024-04-17T19:22:21.651198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
100 3
 
9.4%
15 2
 
6.2%
150 2
 
6.2%
34 2
 
6.2%
5 1
 
3.1%
25 1
 
3.1%
175 1
 
3.1%
1750 1
 
3.1%
140 1
 
3.1%
2300 1
 
3.1%
Other values (5) 5
15.6%
(Missing) 12
37.5%
ValueCountFrequency (%)
1 1
 
3.1%
5 1
 
3.1%
15 2
6.2%
25 1
 
3.1%
34 2
6.2%
36 1
 
3.1%
60 1
 
3.1%
80 1
 
3.1%
100 3
9.4%
140 1
 
3.1%
ValueCountFrequency (%)
2300 1
 
3.1%
1750 1
 
3.1%
240 1
 
3.1%
175 1
 
3.1%
150 2
6.2%
140 1
 
3.1%
100 3
9.4%
80 1
 
3.1%
60 1
 
3.1%
36 1
 
3.1%

Interactions

2024-04-17T19:22:17.296962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:22:16.856421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:22:17.081496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:22:17.376228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:22:16.934945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:22:17.155995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:22:17.448567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:22:17.006496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:22:17.223590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T19:22:21.726493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구 분교육과정시간1월2월3월4월5월6월7월8월9월10월11월12월차수인원
구 분1.0000.0000.4280.0000.0000.0000.0000.7220.1280.0000.0000.3320.0000.0000.0000.0000.294
교육과정0.0001.0000.7590.0000.0000.0000.0000.0000.0000.0000.0000.0000.2330.0000.0000.0000.000
시간0.4280.7591.0000.6770.0000.0000.0000.0000.5210.0000.0000.6840.4980.0000.0000.0000.000
1월0.0000.0000.6771.0000.8190.5550.5550.6240.5570.5570.8550.6230.6970.6230.6441.0000.825
2월0.0000.0000.0000.8191.0000.8910.3930.7600.7500.7500.5570.7590.7540.7590.6771.0000.490
3월0.0000.0000.0000.5550.8911.0000.8170.6950.3930.3930.5550.6940.5960.6940.7011.0000.367
4월0.0000.0000.0000.5550.3930.8171.0000.6950.7530.8910.5550.6940.8010.8500.7011.0000.367
5월0.7220.0000.0000.6240.7600.6950.6951.0000.7600.4530.6240.8900.9010.8900.9811.0000.737
6월0.1280.0000.5210.5570.7500.3930.7530.7601.0000.9380.5570.8971.0000.4500.6771.0000.805
7월0.0000.0000.0000.5570.7500.3930.8910.4530.9381.0000.5570.7590.8970.7590.6771.0000.805
8월0.0000.0000.0000.8550.5570.5550.5550.6240.5570.5571.0000.6230.6970.6230.6441.0000.825
9월0.3320.0000.6840.6230.7590.6940.6940.8900.8970.7590.6231.0000.9420.9650.9071.0000.876
10월0.0000.2330.4980.6970.7540.5960.8010.9011.0000.8970.6970.9421.0000.6891.0001.0001.000
11월0.0000.0000.0000.6230.7590.6940.8500.8900.4500.7590.6230.9650.6891.0000.9071.0000.511
12월0.0000.0000.0000.6440.6770.7010.7010.9810.6770.6770.6440.9071.0000.9071.0001.0001.000
차수0.0000.0000.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인원0.2940.0000.0000.8250.4900.3670.3670.7370.8050.8050.8250.8761.0000.5111.0001.0001.000
2024-04-17T19:22:21.874829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
12월1월교육과정6월7월3월9월2월10월4월8월11월5월구 분
12월1.0000.6540.0000.6250.6250.5650.5960.6250.9030.5650.6540.5960.7820.000
1월0.6541.0000.0000.4700.4700.3830.4290.7690.3310.3830.5080.4290.4300.000
교육과정0.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
6월0.6250.4700.0001.0000.6490.2390.8190.3660.9380.5860.4700.3090.6190.000
7월0.6250.4700.0000.6491.0000.2390.6190.3660.7690.7950.4700.6190.3110.000
3월0.5650.3830.0000.2390.2391.0000.4880.7950.3520.4070.3830.4880.4900.000
9월0.5960.4290.0000.8190.6190.4881.0000.6190.8220.4880.4290.7200.5290.068
2월0.6250.7690.0000.3660.3660.7950.6191.0000.5520.2390.4700.6190.6190.000
10월0.9030.3310.0000.9380.7690.3520.8220.5521.0000.5750.3310.4450.7430.000
4월0.5650.3830.0000.5860.7950.4070.4880.2390.5751.0000.3830.6910.4900.000
8월0.6540.5080.0000.4700.4700.3830.4290.4700.3310.3831.0000.4290.4300.000
11월0.5960.4290.0000.3090.6190.4880.7200.6190.4450.6910.4291.0000.5290.000
5월0.7820.4300.0000.6190.3110.4900.5290.6190.7430.4900.4300.5291.0000.373
구 분0.0000.0000.0000.0000.0000.0000.0680.0000.0000.0000.0000.0000.3731.000
2024-04-17T19:22:22.001893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시간차수인원구 분교육과정1월2월3월4월5월6월7월8월9월10월11월12월
시간1.0000.3150.1860.1450.4530.4820.0000.0000.0000.0000.3710.0000.0000.2970.2760.0000.000
차수0.3151.0000.8690.0000.0000.9430.9130.8500.8500.8820.9130.9130.9430.8820.8160.8820.972
인원0.1860.8691.0000.0000.0000.4620.3930.1940.1940.5260.7380.7380.4620.6960.8660.3090.970
구 분0.1450.0000.0001.0000.0000.0000.0000.0000.0000.3730.0000.0000.0000.0680.0000.0000.000
교육과정0.4530.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
1월0.4820.9430.4620.0000.0001.0000.7690.3830.3830.4300.4700.4700.5080.4290.3310.4290.654
2월0.0000.9130.3930.0000.0000.7691.0000.7950.2390.6190.3660.3660.4700.6190.5520.6190.625
3월0.0000.8500.1940.0000.0000.3830.7951.0000.4070.4900.2390.2390.3830.4880.3520.4880.565
4월0.0000.8500.1940.0000.0000.3830.2390.4071.0000.4900.5860.7950.3830.4880.5750.6910.565
5월0.0000.8820.5260.3730.0000.4300.6190.4900.4901.0000.6190.3110.4300.5290.7430.5290.782
6월0.3710.9130.7380.0000.0000.4700.3660.2390.5860.6191.0000.6490.4700.8190.9380.3090.625
7월0.0000.9130.7380.0000.0000.4700.3660.2390.7950.3110.6491.0000.4700.6190.7690.6190.625
8월0.0000.9430.4620.0000.0000.5080.4700.3830.3830.4300.4700.4701.0000.4290.3310.4290.654
9월0.2970.8820.6960.0680.0000.4290.6190.4880.4880.5290.8190.6190.4291.0000.8220.7200.596
10월0.2760.8160.8660.0000.0000.3310.5520.3520.5750.7430.9380.7690.3310.8221.0000.4450.903
11월0.0000.8820.3090.0000.0000.4290.6190.4880.6910.5290.3090.6190.4290.7200.4451.0000.596
12월0.0000.9720.9700.0000.0000.6540.6250.5650.5650.7820.6250.6250.6540.5960.9030.5961.000

Missing values

2024-04-17T19:22:17.553212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T19:22:17.755391image/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.
2024-04-17T19:22:17.923852image/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

구 분교육과정시간1월2월3월4월5월6월7월8월9월10월11월12월차수인원
0항공보안교관교관40미정미정미정미정미정미정미정미정미정미정미정미정<NA><NA>
1항공보안교관인증평가4미정미정29일미정미정미정미정미정미정미정미정미정15
2공항/항공사 보안 책임자(감독자)초기16미정미정미정미정11일~12일미정미정미정미정미정미정미정125
3공항/항공사 보안 책임자(감독자)정기8미정미정미정12일,13일,14일10일15일미정미정미정17일,18일미정미정7175
4보안유관부서초기2미정미정미정미정9일미정미정미정미정미정미정미정115
5보안유관부서정기2미정미정미정미정9일미정미정미정미정1일~31일미정15일31750
6보안검색감독자초기8미정미정미정미정미정미정미정미정미정미정미정미정<NA><NA>
7보안검색감독자정기8미정미정미정20일미정미정19일,20일미정미정미정23일미정4100
8항공경비감독자초기8미정미정23일미정미정미정미정미정미정미정미정미정115
9항공경비감독자정기8미정9일10일미정23일,24일미정미정미정5일11일17일미정7140
구 분교육과정시간1월2월3월4월5월6월7월8월9월10월11월12월차수인원
22폭발물위협분석관정기1미정미정미정미정미정미정미정23일미정미정미정미정11
23항공보안장비 유지보수요원초기40미정미정미정미정미정미정미정미정미정미정미정미정<NA><NA>
24항공보안장비 유지보수요원정기8미정미정미정21일미정미정미정미정14일미정15일,16일미정480
25행동탐지요원초기16미정미정미정미정미정미정미정미정미정미정미정미정<NA><NA>
26행동탐지요원정기8미정미정미정미정미정20일,21일,22일,23일19일,20일,21일미정12일,13일12일,13일미정미정11240
27대외기관 보안요원보안검색스킬24미정미정미정미정미정12일~14일,19일~21일미정미정20일~22일25일~27일미정미정460
28대외기관 보안요원X-RAY판독16미정미정미정미정미정미정미정미정미정미정미정미정<NA><NA>
29항공보안전문가항공보안전문가16미정미정미정미정미정미정미정미정미정미정미정미정<NA><NA>
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