Overview

Dataset statistics

Number of variables8
Number of observations1099
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory72.0 KiB
Average record size in memory67.1 B

Variable types

Categorical2
Text1
Numeric3
DateTime2

Dataset

Description2024년 한국해양수산연수원 부산에서 실시하는 안전 교육, 자격취득 교육, 직무교육, 수탁교육, 기타직무교육 일정 정보에 관한 데이터※ 부산본원- 우편번호 : 49111- 주소 : 부산광역시 영도구 해양로 367(동삼동)- 콜센터 번호 : 1899-3600※ 부산용당캠퍼스- 우편번호 : 48562- 주소 : 부산광역시 남구 신선로 356번길 93(용당동)- 콜센터 번호 : 1899-3600
Author한국해양수산연수원
URLhttps://www.data.go.kr/data/15099526/fileData.do

Alerts

교육차수 is highly overall correlated with 교육장소High correlation
교육구분 is highly overall correlated with 교육장소High correlation
교육장소 is highly overall correlated with 교육차수 and 1 other fieldsHigh correlation

Reproduction

Analysis started2024-03-14 11:23:59.233544
Analysis finished2024-03-14 11:24:02.867529
Duration3.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
직무교육
448 
자격취득
281 
안전교육
260 
수탁교육
84 
기타직무교육
 
26

Length

Max length6
Median length4
Mean length4.0473157
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
직무교육 448
40.8%
자격취득 281
25.6%
안전교육 260
23.7%
수탁교육 84
 
7.6%
기타직무교육 26
 
2.4%

Length

2024-03-14T20:24:03.106057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:24:03.462219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직무교육 448
40.8%
자격취득 281
25.6%
안전교육 260
23.7%
수탁교육 84
 
7.6%
기타직무교육 26
 
2.4%

교육과정명
Text

Distinct138
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
2024-03-14T20:24:04.447770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length25
Mean length17.382166
Min length6

Characters and Unicode

Total characters19103
Distinct characters187
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.9%

Sample

1st row기초안전교육-기초신규-기초신규
2nd row기초안전교육-기초신규-기초신규
3rd row기초안전교육-기초신규-기초신규
4th row기초안전교육-기초신규-기초신규
5th row기초안전교육-기초신규-기초신규
ValueCountFrequency (%)
기초안전교육-기초(재교육)-기초(재교육 85
 
6.4%
상급안전재교육-국제선(재교육)-국재선(재교육 78
 
5.9%
및 53
 
4.0%
면허갱신교육-소형선박조종사 34
 
2.6%
기초안전교육-기초신규-기초신규 29
 
2.2%
탱커기초교육(선원법)-유조선 27
 
2.0%
케미컬 27
 
2.0%
리더십및관리기술직무교육-항해 22
 
1.7%
여객선교육(선원법)-상급-재교육 21
 
1.6%
여객선교육(선원법)-상급-신규 21
 
1.6%
Other values (150) 935
70.2%
2024-03-14T20:24:05.946660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1547
 
8.1%
육 1492
 
7.8%
교 1482
 
7.8%
선 881
 
4.6%
) 759
 
4.0%
( 759
 
4.0%
기 713
 
3.7%
재 581
 
3.0%
초 441
 
2.3%
급 414
 
2.2%
Other values (177) 10034
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15191
79.5%
Dash Punctuation 1547
 
8.1%
Close Punctuation 785
 
4.1%
Open Punctuation 785
 
4.1%
Decimal Number 253
 
1.3%
Space Separator 233
 
1.2%
Uppercase Letter 229
 
1.2%
Letter Number 43
 
0.2%
Other Punctuation 28
 
0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
육 1492
 
9.8%
교 1482
 
9.8%
선 881
 
5.8%
기 713
 
4.7%
재 581
 
3.8%
초 441
 
2.9%
급 414
 
2.7%
전 397
 
2.6%
신 378
 
2.5%
안 358
 
2.4%
Other values (146) 8054
53.0%
Uppercase Letter
ValueCountFrequency (%)
S 47
20.5%
C 37
16.2%
D 21
9.2%
E 21
9.2%
R 20
8.7%
O 18
 
7.9%
I 17
 
7.4%
G 16
 
7.0%
A 12
 
5.2%
H 10
 
4.4%
Other values (2) 10
 
4.4%
Decimal Number
ValueCountFrequency (%)
3 67
26.5%
4 53
20.9%
6 43
17.0%
1 29
11.5%
2 17
 
6.7%
9 15
 
5.9%
0 13
 
5.1%
5 12
 
4.7%
7 4
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 759
96.7%
] 26
 
3.3%
Open Punctuation
ValueCountFrequency (%)
( 759
96.7%
[ 26
 
3.3%
Other Punctuation
ValueCountFrequency (%)
/ 24
85.7%
. 4
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 1547
100.0%
Space Separator
ValueCountFrequency (%)
233
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 43
100.0%
Math Symbol
ValueCountFrequency (%)
> 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15191
79.5%
Common 3640
 
19.1%
Latin 272
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
육 1492
 
9.8%
교 1482
 
9.8%
선 881
 
5.8%
기 713
 
4.7%
재 581
 
3.8%
초 441
 
2.9%
급 414
 
2.7%
전 397
 
2.6%
신 378
 
2.5%
안 358
 
2.4%
Other values (146) 8054
53.0%
Common
ValueCountFrequency (%)
- 1547
42.5%
) 759
20.9%
( 759
20.9%
233
 
6.4%
3 67
 
1.8%
4 53
 
1.5%
6 43
 
1.2%
1 29
 
0.8%
[ 26
 
0.7%
] 26
 
0.7%
Other values (8) 98
 
2.7%
Latin
ValueCountFrequency (%)
S 47
17.3%
Ⅱ 43
15.8%
C 37
13.6%
D 21
7.7%
E 21
7.7%
R 20
7.4%
O 18
 
6.6%
I 17
 
6.2%
G 16
 
5.9%
A 12
 
4.4%
Other values (3) 20
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15191
79.5%
ASCII 3869
 
20.3%
Number Forms 43
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1547
40.0%
) 759
19.6%
( 759
19.6%
233
 
6.0%
3 67
 
1.7%
4 53
 
1.4%
S 47
 
1.2%
6 43
 
1.1%
C 37
 
1.0%
1 29
 
0.7%
Other values (20) 295
 
7.6%
Hangul
ValueCountFrequency (%)
육 1492
 
9.8%
교 1482
 
9.8%
선 881
 
5.8%
기 713
 
4.7%
재 581
 
3.8%
초 441
 
2.9%
급 414
 
2.7%
전 397
 
2.6%
신 378
 
2.5%
안 358
 
2.4%
Other values (146) 8054
53.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 43
100.0%

교육장소
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
영도본원
929 
용당캠퍼스
170 

Length

Max length5
Median length4
Mean length4.1546861
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영도본원 929
84.5%
용당캠퍼스 170
 
15.5%

Length

2024-03-14T20:24:06.176734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:24:06.345057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영도본원 929
84.5%
용당캠퍼스 170
 
15.5%

교육일수
Real number (ℝ)

Distinct10
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1587807
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-03-14T20:24:06.595034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum20
Range19
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1130488
Coefficient of variation (CV)0.66894444
Kurtosis18.62946
Mean3.1587807
Median Absolute Deviation (MAD)1
Skewness3.3632148
Sum3471.5
Variance4.4649752
MonotonicityNot monotonic
2024-03-14T20:24:06.961069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2.0 362
32.9%
3.0 305
27.8%
5.0 162
14.7%
1.0 126
 
11.5%
4.0 70
 
6.4%
4.5 29
 
2.6%
10.0 29
 
2.6%
7.0 8
 
0.7%
20.0 4
 
0.4%
15.0 4
 
0.4%
ValueCountFrequency (%)
1.0 126
 
11.5%
2.0 362
32.9%
3.0 305
27.8%
4.0 70
 
6.4%
4.5 29
 
2.6%
5.0 162
14.7%
7.0 8
 
0.7%
10.0 29
 
2.6%
15.0 4
 
0.4%
20.0 4
 
0.4%
ValueCountFrequency (%)
20.0 4
 
0.4%
15.0 4
 
0.4%
10.0 29
 
2.6%
7.0 8
 
0.7%
5.0 162
14.7%
4.5 29
 
2.6%
4.0 70
 
6.4%
3.0 305
27.8%
2.0 362
32.9%
1.0 126
 
11.5%

교육인원수
Real number (ℝ)

Distinct11
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.675159
Minimum5
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-03-14T20:24:07.310417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10
Q116
median20
Q325
95-th percentile30
Maximum40
Range35
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.6912819
Coefficient of variation (CV)0.32363871
Kurtosis-0.55771336
Mean20.675159
Median Absolute Deviation (MAD)5
Skewness0.13142979
Sum22722
Variance44.773253
MonotonicityNot monotonic
2024-03-14T20:24:07.676355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20 428
38.9%
30 248
22.6%
16 89
 
8.1%
10 88
 
8.0%
12 81
 
7.4%
25 77
 
7.0%
14 43
 
3.9%
24 16
 
1.5%
15 11
 
1.0%
5 10
 
0.9%
ValueCountFrequency (%)
5 10
 
0.9%
10 88
 
8.0%
12 81
 
7.4%
14 43
 
3.9%
15 11
 
1.0%
16 89
 
8.1%
20 428
38.9%
24 16
 
1.5%
25 77
 
7.0%
30 248
22.6%
ValueCountFrequency (%)
40 8
 
0.7%
30 248
22.6%
25 77
 
7.0%
24 16
 
1.5%
20 428
38.9%
16 89
 
8.1%
15 11
 
1.0%
14 43
 
3.9%
12 81
 
7.4%
10 88
 
8.0%

교육차수
Real number (ℝ)

HIGH CORRELATION 

Distinct68
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7534122
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-03-14T20:24:08.079796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6
Q311
95-th percentile38.1
Maximum68
Range67
Interquartile range (IQR)9

Descriptive statistics

Standard deviation12.090136
Coefficient of variation (CV)1.2395801
Kurtosis7.011555
Mean9.7534122
Median Absolute Deviation (MAD)4
Skewness2.5793538
Sum10719
Variance146.17138
MonotonicityNot monotonic
2024-03-14T20:24:08.522952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 146
13.3%
2 135
12.3%
3 96
 
8.7%
4 89
 
8.1%
5 72
 
6.6%
6 69
 
6.3%
7 53
 
4.8%
8 47
 
4.3%
9 42
 
3.8%
10 41
 
3.7%
Other values (58) 309
28.1%
ValueCountFrequency (%)
1 146
13.3%
2 135
12.3%
3 96
8.7%
4 89
8.1%
5 72
6.6%
6 69
6.3%
7 53
 
4.8%
8 47
 
4.3%
9 42
 
3.8%
10 41
 
3.7%
ValueCountFrequency (%)
68 1
0.1%
67 1
0.1%
66 1
0.1%
65 1
0.1%
64 1
0.1%
63 2
0.2%
62 2
0.2%
61 2
0.2%
60 2
0.2%
59 2
0.2%

교육시작일자
Date

Distinct189
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
Minimum2024-01-02 00:00:00
Maximum2027-07-08 00:00:00
2024-03-14T20:24:09.154217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:24:09.592373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교육종료일자
Date

Distinct188
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
Minimum2024-01-03 00:00:00
Maximum2027-07-11 00:00:00
2024-03-14T20:24:10.008703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:24:10.340261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-03-14T20:24:01.365696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:23:59.689669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:24:00.524555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:24:01.643659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:23:59.966617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:24:00.808687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:24:01.897645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:24:00.247745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:24:01.085390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:24:10.505639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육구분교육장소교육일수교육인원수교육차수
교육구분1.0000.6390.4060.6910.577
교육장소0.6391.0000.3810.6610.804
교육일수0.4060.3811.0000.5740.243
교육인원수0.6910.6610.5741.0000.293
교육차수0.5770.8040.2430.2931.000
2024-03-14T20:24:10.667988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육구분교육장소
교육구분1.0000.766
교육장소0.7661.000
2024-03-14T20:24:10.809028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육일수교육인원수교육차수교육구분교육장소
교육일수1.000-0.212-0.1580.2740.408
교육인원수-0.2121.000-0.1490.4990.500
교육차수-0.158-0.1491.0000.2760.636
교육구분0.2740.4990.2761.0000.766
교육장소0.4080.5000.6360.7661.000

Missing values

2024-03-14T20:24:02.276915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:24:02.700240image/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

교육구분교육과정명교육장소교육일수교육인원수교육차수교육시작일자교육종료일자
0안전교육기초안전교육-기초신규-기초신규영도본원4.52012024-01-082024-01-12
1안전교육기초안전교육-기초신규-기초신규영도본원4.52022024-01-152024-01-19
2안전교육기초안전교육-기초신규-기초신규영도본원4.52032024-01-292024-02-02
3안전교육기초안전교육-기초신규-기초신규영도본원4.52042024-02-192024-02-23
4안전교육기초안전교육-기초신규-기초신규영도본원4.52052024-03-042024-03-08
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