Overview

Dataset statistics

Number of variables31
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 MiB
Average record size in memory272.0 B

Variable types

Text3
Categorical14
Numeric14

Dataset

Description국내외 해양사고 발생현황 및 사고원인 등에 대한 통계를 대외에 공표하는 정부 공식 통계로서 해상 안전업무, 정책수립의 기초 지표 * 근거 : 1976년에 「통계법」제18조에 따라 통계청 승인(제12320호)
URLhttps://www.data.go.kr/data/3056346/fileData.do

Alerts

해양사고장소(위) is highly imbalanced (98.7%)Imbalance
해양사고장소(경) is highly imbalanced (99.0%)Imbalance
해양사고장소(경도) is highly imbalanced (53.8%)Imbalance
해양사고발생지역(대) is highly imbalanced (58.9%)Imbalance
사망합계(선원_여객_기타) is highly imbalanced (93.4%)Imbalance
선박중요도 is highly skewed (γ1 = 20.01488735)Skewed
실종합계(선원_여객_기타) is highly skewed (γ1 = 32.15584718)Skewed
부상합계(선원_여객_기타) is highly skewed (γ1 = 42.76637191)Skewed
총합(사망_실종_부상) is highly skewed (γ1 = 37.35208268)Skewed
해양사고발생(시) has 278 (2.8%) zerosZeros
해양사고발생(분) has 791 (7.9%) zerosZeros
해양사고장소(위분) has 277 (2.8%) zerosZeros
해양사고장소(위초) has 2567 (25.7%) zerosZeros
해양사고장소(경분) has 242 (2.4%) zerosZeros
해양사고장소(경초) has 2598 (26.0%) zerosZeros
실종합계(선원_여객_기타) has 9941 (99.4%) zerosZeros
인명피해합계(사망_실종) has 9748 (97.5%) zerosZeros
부상합계(선원_여객_기타) has 9293 (92.9%) zerosZeros
총합(사망_실종_부상) has 9064 (90.6%) zerosZeros

Reproduction

Analysis started2023-12-12 15:33:39.565093
Analysis finished2023-12-12 15:33:41.341116
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사건번호
Text

Distinct9300
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:33:41.627723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters120000
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8680 ?
Unique (%)86.8%

Sample

1st rowIC-2019-0933
2nd rowMP-2019-0190
3rd rowMP-2020-0587
4th rowBS-2018-0240
5th rowMP-2018-0768
ValueCountFrequency (%)
ic-2021-0232 24
 
0.2%
ic-2022-0336 7
 
0.1%
bs-2020-0174 6
 
0.1%
mp-2018-0313 6
 
0.1%
ic-2022-0913 5
 
< 0.1%
ic-2021-0082 5
 
< 0.1%
bs-2020-0198 4
 
< 0.1%
bs-2020-0161 4
 
< 0.1%
bs-2019-0092 4
 
< 0.1%
ic-2021-0113 4
 
< 0.1%
Other values (9290) 9931
99.3%
2023-12-13T00:33:42.189231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 24718
20.6%
2 21432
17.9%
- 20000
16.7%
1 10123
8.4%
9 4492
 
3.7%
8 4334
 
3.6%
P 3630
 
3.0%
M 3630
 
3.0%
3 3414
 
2.8%
4 3020
 
2.5%
Other values (9) 21207
17.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80000
66.7%
Dash Punctuation 20000
 
16.7%
Uppercase Letter 20000
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24718
30.9%
2 21432
26.8%
1 10123
12.7%
9 4492
 
5.6%
8 4334
 
5.4%
3 3414
 
4.3%
4 3020
 
3.8%
6 2883
 
3.6%
5 2853
 
3.6%
7 2731
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
P 3630
18.1%
M 3630
18.1%
S 2511
12.6%
B 2511
12.6%
C 2500
12.5%
I 2500
12.5%
D 1359
 
6.8%
H 1359
 
6.8%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100000
83.3%
Latin 20000
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 24718
24.7%
2 21432
21.4%
- 20000
20.0%
1 10123
10.1%
9 4492
 
4.5%
8 4334
 
4.3%
3 3414
 
3.4%
4 3020
 
3.0%
6 2883
 
2.9%
5 2853
 
2.9%
Latin
ValueCountFrequency (%)
P 3630
18.1%
M 3630
18.1%
S 2511
12.6%
B 2511
12.6%
C 2500
12.5%
I 2500
12.5%
D 1359
 
6.8%
H 1359
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 24718
20.6%
2 21432
17.9%
- 20000
16.7%
1 10123
8.4%
9 4492
 
3.7%
8 4334
 
3.6%
P 3630
 
3.0%
M 3630
 
3.0%
3 3414
 
2.8%
4 3020
 
2.5%
Other values (9) 21207
17.7%

사건명
Text

Distinct8405
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:33:42.555393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length55
Mean length16.9198
Min length10

Characters and Unicode

Total characters169198
Distinct characters742
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7208 ?
Unique (%)72.1%

Sample

1st row어선 신양호 추진축계손상사건
2nd row어선 제101형성호 부유물감김사건
3rd row낚시어선 제주로즈마리호 운항저해사건
4th row어선 제101명성호·낚시어선 강태공호 충돌사건
5th row어선 천성호 기관손상사건
ValueCountFrequency (%)
어선 6016
 
17.6%
기관손상사건 2622
 
7.7%
충돌사건 1620
 
4.7%
모터보트 1587
 
4.6%
부유물감김사건 1019
 
3.0%
낚시어선 921
 
2.7%
침수사건 709
 
2.1%
추진축계손상사건 514
 
1.5%
좌초사건 491
 
1.4%
화재사건 479
 
1.4%
Other values (7127) 18264
53.3%
2023-12-13T00:33:43.086708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24277
 
14.3%
호 11092
 
6.6%
선 10769
 
6.4%
사 10236
 
6.0%
건 10038
 
5.9%
어 7682
 
4.5%
상 4178
 
2.5%
손 3674
 
2.2%
기 3066
 
1.8%
관 2752
 
1.6%
Other values (732) 81434
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 133785
79.1%
Space Separator 24277
 
14.3%
Decimal Number 8976
 
5.3%
Other Punctuation 1382
 
0.8%
Uppercase Letter 543
 
0.3%
Open Punctuation 92
 
0.1%
Close Punctuation 92
 
0.1%
Dash Punctuation 50
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 11092
 
8.3%
선 10769
 
8.0%
사 10236
 
7.7%
건 10038
 
7.5%
어 7682
 
5.7%
상 4178
 
3.1%
손 3674
 
2.7%
기 3066
 
2.3%
관 2752
 
2.1%
트 2091
 
1.6%
Other values (685) 68207
51.0%
Uppercase Letter
ValueCountFrequency (%)
N 63
 
11.6%
A 51
 
9.4%
O 50
 
9.2%
E 39
 
7.2%
I 35
 
6.4%
R 34
 
6.3%
S 32
 
5.9%
T 31
 
5.7%
G 27
 
5.0%
U 22
 
4.1%
Other values (16) 159
29.3%
Decimal Number
ValueCountFrequency (%)
0 1896
21.1%
1 1839
20.5%
2 1599
17.8%
3 1058
11.8%
7 802
8.9%
5 591
 
6.6%
8 480
 
5.3%
9 336
 
3.7%
6 307
 
3.4%
4 68
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 584
42.3%
· 414
30.0%
/ 241
17.4%
. 121
 
8.8%
? 21
 
1.5%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
24277
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133785
79.1%
Common 34869
 
20.6%
Latin 544
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 11092
 
8.3%
선 10769
 
8.0%
사 10236
 
7.7%
건 10038
 
7.5%
어 7682
 
5.7%
상 4178
 
3.1%
손 3674
 
2.7%
기 3066
 
2.3%
관 2752
 
2.1%
트 2091
 
1.6%
Other values (685) 68207
51.0%
Latin
ValueCountFrequency (%)
N 63
 
11.6%
A 51
 
9.4%
O 50
 
9.2%
E 39
 
7.2%
I 35
 
6.4%
R 34
 
6.2%
S 32
 
5.9%
T 31
 
5.7%
G 27
 
5.0%
U 22
 
4.0%
Other values (17) 160
29.4%
Common
ValueCountFrequency (%)
24277
69.6%
0 1896
 
5.4%
1 1839
 
5.3%
2 1599
 
4.6%
3 1058
 
3.0%
7 802
 
2.3%
5 591
 
1.7%
, 584
 
1.7%
8 480
 
1.4%
· 414
 
1.2%
Other values (10) 1329
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 133693
79.0%
ASCII 34999
 
20.7%
None 414
 
0.2%
Compat Jamo 92
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24277
69.4%
0 1896
 
5.4%
1 1839
 
5.3%
2 1599
 
4.6%
3 1058
 
3.0%
7 802
 
2.3%
5 591
 
1.7%
, 584
 
1.7%
8 480
 
1.4%
9 336
 
1.0%
Other values (36) 1537
 
4.4%
Hangul
ValueCountFrequency (%)
호 11092
 
8.3%
선 10769
 
8.1%
사 10236
 
7.7%
건 10038
 
7.5%
어 7682
 
5.7%
상 4178
 
3.1%
손 3674
 
2.7%
기 3066
 
2.3%
관 2752
 
2.1%
트 2091
 
1.6%
Other values (684) 68115
50.9%
None
ValueCountFrequency (%)
· 414
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 92
100.0%

해양사고종류1
Categorical

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기관손상
2702 
충돌
1622 
부유물감김
850 
침수
716 
추진축계손상
605 
Other values (16)
3505 

Length

Max length11
Median length10
Mean length3.6623
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기관손상
2nd row부유물감김
3rd row운항저해
4th row충돌
5th row기관손상

Common Values

ValueCountFrequency (%)
기관손상 2702
27.0%
충돌 1622
16.2%
부유물감김 850
 
8.5%
침수 716
 
7.2%
추진축계손상 605
 
6.0%
좌초 493
 
4.9%
화재 479
 
4.8%
안전사고 465
 
4.7%
운항저해 441
 
4.4%
조타장치손상 317
 
3.2%
Other values (11) 1310
13.1%

Length

2023-12-13T00:33:43.267049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기관손상 2702
27.0%
충돌 1622
16.2%
부유물감김 850
 
8.5%
침수 716
 
7.2%
추진축계손상 605
 
6.0%
좌초 493
 
4.9%
화재 479
 
4.8%
안전사고 465
 
4.7%
운항저해 441
 
4.4%
조타장치손상 317
 
3.2%
Other values (11) 1310
13.1%

해양사고발생(년도)
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2020
2223 
2019
2072 
2022
1958 
2018
1878 
2021
1869 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2020
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2020 2223
22.2%
2019 2072
20.7%
2022 1958
19.6%
2018 1878
18.8%
2021 1869
18.7%

Length

2023-12-13T00:33:43.448622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:33:43.610233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 2223
22.2%
2019 2072
20.7%
2022 1958
19.6%
2018 1878
18.8%
2021 1869
18.7%

해양사고발생(월)
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0641
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:33:43.764096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.2876545
Coefficient of variation (CV)0.46540316
Kurtosis-1.037004
Mean7.0641
Median Absolute Deviation (MAD)3
Skewness-0.28481914
Sum70641
Variance10.808672
MonotonicityNot monotonic
2023-12-13T00:33:43.907064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
9 1159
11.6%
10 1143
11.4%
8 960
9.6%
11 935
9.3%
7 924
9.2%
6 801
8.0%
12 775
7.8%
5 767
7.7%
3 702
7.0%
1 668
6.7%
Other values (2) 1166
11.7%
ValueCountFrequency (%)
1 668
6.7%
2 516
5.2%
3 702
7.0%
4 650
6.5%
5 767
7.7%
6 801
8.0%
7 924
9.2%
8 960
9.6%
9 1159
11.6%
10 1143
11.4%
ValueCountFrequency (%)
12 775
7.8%
11 935
9.3%
10 1143
11.4%
9 1159
11.6%
8 960
9.6%
7 924
9.2%
6 801
8.0%
5 767
7.7%
4 650
6.5%
3 702
7.0%

해양사고발생(일)
Real number (ℝ)

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.6497
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:33:44.050163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q323
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.7410543
Coefficient of variation (CV)0.55854453
Kurtosis-1.1856042
Mean15.6497
Median Absolute Deviation (MAD)7
Skewness-0.0056717433
Sum156497
Variance76.406031
MonotonicityNot monotonic
2023-12-13T00:33:44.205465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
24 369
 
3.7%
23 369
 
3.7%
3 358
 
3.6%
22 358
 
3.6%
19 354
 
3.5%
20 353
 
3.5%
6 346
 
3.5%
15 345
 
3.5%
10 343
 
3.4%
5 339
 
3.4%
Other values (21) 6466
64.7%
ValueCountFrequency (%)
1 329
3.3%
2 322
3.2%
3 358
3.6%
4 332
3.3%
5 339
3.4%
6 346
3.5%
7 307
3.1%
8 310
3.1%
9 320
3.2%
10 343
3.4%
ValueCountFrequency (%)
31 179
1.8%
30 270
2.7%
29 289
2.9%
28 326
3.3%
27 315
3.1%
26 283
2.8%
25 317
3.2%
24 369
3.7%
23 369
3.7%
22 358
3.6%

해양사고발생(시)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.3046
Minimum0
Maximum23
Zeros278
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:33:44.349031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median11
Q315
95-th percentile21
Maximum23
Range23
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.5670565
Coefficient of variation (CV)0.4924594
Kurtosis-0.65117918
Mean11.3046
Median Absolute Deviation (MAD)4
Skewness0.034233922
Sum113046
Variance30.992118
MonotonicityNot monotonic
2023-12-13T00:33:44.544369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
10 666
 
6.7%
9 641
 
6.4%
7 623
 
6.2%
12 609
 
6.1%
11 602
 
6.0%
8 600
 
6.0%
15 599
 
6.0%
14 569
 
5.7%
13 561
 
5.6%
6 560
 
5.6%
Other values (14) 3970
39.7%
ValueCountFrequency (%)
0 278
2.8%
1 165
 
1.7%
2 165
 
1.7%
3 246
 
2.5%
4 271
2.7%
5 390
3.9%
6 560
5.6%
7 623
6.2%
8 600
6.0%
9 641
6.4%
ValueCountFrequency (%)
23 185
 
1.8%
22 175
 
1.8%
21 223
 
2.2%
20 222
 
2.2%
19 290
2.9%
18 356
3.6%
17 445
4.5%
16 559
5.6%
15 599
6.0%
14 569
5.7%

해양사고발생(분)
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.806
Minimum0
Maximum59
Zeros791
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:33:44.787275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median29
Q343
95-th percentile56
Maximum59
Range59
Interquartile range (IQR)31

Descriptive statistics

Standard deviation17.875568
Coefficient of variation (CV)0.64286728
Kurtosis-1.1900714
Mean27.806
Median Absolute Deviation (MAD)16
Skewness0.024433729
Sum278060
Variance319.53592
MonotonicityNot monotonic
2023-12-13T00:33:45.004324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 791
 
7.9%
30 547
 
5.5%
50 341
 
3.4%
20 290
 
2.9%
10 270
 
2.7%
40 265
 
2.6%
15 209
 
2.1%
45 205
 
2.1%
25 194
 
1.9%
5 190
 
1.9%
Other values (50) 6698
67.0%
ValueCountFrequency (%)
0 791
7.9%
1 115
 
1.1%
2 138
 
1.4%
3 111
 
1.1%
4 129
 
1.3%
5 190
 
1.9%
6 125
 
1.2%
7 116
 
1.2%
8 164
 
1.6%
9 143
 
1.4%
ValueCountFrequency (%)
59 128
 
1.3%
58 151
1.5%
57 144
1.4%
56 138
1.4%
55 189
1.9%
54 129
 
1.3%
53 135
 
1.4%
52 140
1.4%
51 114
 
1.1%
50 341
3.4%

해양사고발생시간대
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
08:00~12:00
2509 
12:00~16:00
2338 
04:00~08:00
1844 
16:00~20:00
1650 
00:00~04:00
854 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row08:00~12:00
2nd row08:00~12:00
3rd row04:00~08:00
4th row08:00~12:00
5th row16:00~20:00

Common Values

ValueCountFrequency (%)
08:00~12:00 2509
25.1%
12:00~16:00 2338
23.4%
04:00~08:00 1844
18.4%
16:00~20:00 1650
16.5%
00:00~04:00 854
 
8.5%
20:00~24:00 805
 
8.1%

Length

2023-12-13T00:33:45.193717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:33:45.364077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
08:00~12:00 2509
25.1%
12:00~16:00 2338
23.4%
04:00~08:00 1844
18.4%
16:00~20:00 1650
16.5%
00:00~04:00 854
 
8.5%
20:00~24:00 805
 
8.1%

계절
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
가을
3237 
여름
2685 
봄
2119 
겨울
1959 

Length

Max length2
Median length2
Mean length1.7881
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row겨울
2nd row봄
3rd row여름
4th row봄
5th row가을

Common Values

ValueCountFrequency (%)
가을 3237
32.4%
여름 2685
26.9%
봄 2119
21.2%
겨울 1959
19.6%

Length

2023-12-13T00:33:45.597514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:33:45.710538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가을 3237
32.4%
여름 2685
26.9%
봄 2119
21.2%
겨울 1959
19.6%

해양사고장소(위)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
북
9988 
남
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북 9988
99.9%
남 12
 
0.1%

Length

2023-12-13T00:33:45.839478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:33:45.960163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북 9988
99.9%
남 12
 
0.1%

해양사고장소(위도)
Categorical

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N34
3348 
N35
2089 
N36
1501 
N37
1354 
N33
1177 
Other values (28)
531 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st rowN35
2nd rowN33
3rd rowN33
4th rowN34
5th rowN34

Common Values

ValueCountFrequency (%)
N34 3348
33.5%
N35 2089
20.9%
N36 1501
15.0%
N37 1354
13.5%
N33 1177
 
11.8%
N38 158
 
1.6%
N32 131
 
1.3%
N00 123
 
1.2%
N29 30
 
0.3%
N30 23
 
0.2%
Other values (23) 66
 
0.7%

Length

2023-12-13T00:33:46.091130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
n34 3348
33.5%
n35 2089
20.9%
n36 1501
15.0%
n37 1354
13.5%
n33 1177
 
11.8%
n38 158
 
1.6%
n32 131
 
1.3%
n00 123
 
1.2%
n29 30
 
0.3%
n30 23
 
0.2%
Other values (23) 66
 
0.7%

해양사고장소(위분)
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.0203
Minimum0
Maximum59
Zeros277
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:33:46.253711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q112
median28
Q343
95-th percentile56
Maximum59
Range59
Interquartile range (IQR)31

Descriptive statistics

Standard deviation17.673724
Coefficient of variation (CV)0.63074714
Kurtosis-1.2068941
Mean28.0203
Median Absolute Deviation (MAD)15
Skewness0.046861297
Sum280203
Variance312.36052
MonotonicityNot monotonic
2023-12-13T00:33:46.453041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 277
 
2.8%
0 277
 
2.8%
4 275
 
2.8%
3 265
 
2.6%
31 230
 
2.3%
2 228
 
2.3%
48 224
 
2.2%
19 208
 
2.1%
40 204
 
2.0%
28 201
 
2.0%
Other values (50) 7611
76.1%
ValueCountFrequency (%)
0 277
2.8%
1 182
1.8%
2 228
2.3%
3 265
2.6%
4 275
2.8%
5 277
2.8%
6 150
1.5%
7 155
1.6%
8 131
1.3%
9 159
1.6%
ValueCountFrequency (%)
59 163
1.6%
58 170
1.7%
57 110
1.1%
56 127
1.3%
55 180
1.8%
54 149
1.5%
53 146
1.5%
52 111
1.1%
51 133
1.3%
50 198
2.0%

해양사고장소(위초)
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.4974
Minimum0
Maximum80
Zeros2567
Zeros (%)25.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:33:46.654029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19
Q337
95-th percentile55
Maximum80
Range80
Interquartile range (IQR)37

Descriptive statistics

Standard deviation19.154156
Coefficient of variation (CV)0.89099871
Kurtosis-1.1793787
Mean21.4974
Median Absolute Deviation (MAD)19
Skewness0.39204762
Sum214974
Variance366.88168
MonotonicityNot monotonic
2023-12-13T00:33:46.843661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2567
25.7%
30 231
 
2.3%
24 173
 
1.7%
12 167
 
1.7%
18 167
 
1.7%
27 156
 
1.6%
13 156
 
1.6%
10 153
 
1.5%
15 147
 
1.5%
11 146
 
1.5%
Other values (51) 5937
59.4%
ValueCountFrequency (%)
0 2567
25.7%
1 127
 
1.3%
2 138
 
1.4%
3 113
 
1.1%
4 99
 
1.0%
5 115
 
1.1%
6 141
 
1.4%
7 121
 
1.2%
8 128
 
1.3%
9 138
 
1.4%
ValueCountFrequency (%)
80 1
 
< 0.1%
59 132
1.3%
58 79
0.8%
57 122
1.2%
56 109
1.1%
55 122
1.2%
54 112
1.1%
53 117
1.2%
52 96
1.0%
51 128
1.3%

해양사고장소(경)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
동
9991 
서
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동 9991
99.9%
서 9
 
0.1%

Length

2023-12-13T00:33:47.064642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:33:47.189231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동 9991
99.9%
서 9
 
0.1%

해양사고장소(경도)
Categorical

IMBALANCE 

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
E126
4159 
E128
1835 
E129
1681 
E127
1164 
E125
631 
Other values (32)
530 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique16 ?
Unique (%)0.2%

Sample

1st rowE125
2nd rowE127
3rd rowE126
4th rowE128
5th rowE126

Common Values

ValueCountFrequency (%)
E126 4159
41.6%
E128 1835
18.4%
E129 1681
16.8%
E127 1164
 
11.6%
E125 631
 
6.3%
E130 139
 
1.4%
E000 123
 
1.2%
E124 88
 
0.9%
E131 65
 
0.7%
E132 25
 
0.2%
Other values (27) 90
 
0.9%

Length

2023-12-13T00:33:47.315746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
e126 4159
41.6%
e128 1835
18.4%
e129 1681
16.8%
e127 1164
 
11.6%
e125 631
 
6.3%
e130 139
 
1.4%
e000 123
 
1.2%
e124 88
 
0.9%
e131 65
 
0.7%
e132 25
 
0.2%
Other values (27) 90
 
0.9%

해양사고장소(경분)
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.8081
Minimum0
Maximum59
Zeros242
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:33:47.452643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q116
median27
Q340
95-th percentile55
Maximum59
Range59
Interquartile range (IQR)24

Descriptive statistics

Standard deviation15.533673
Coefficient of variation (CV)0.55860247
Kurtosis-0.82925615
Mean27.8081
Median Absolute Deviation (MAD)12
Skewness0.055253258
Sum278081
Variance241.295
MonotonicityNot monotonic
2023-12-13T00:33:47.942295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27 345
 
3.5%
26 307
 
3.1%
28 277
 
2.8%
23 270
 
2.7%
21 264
 
2.6%
25 249
 
2.5%
22 249
 
2.5%
29 248
 
2.5%
0 242
 
2.4%
31 229
 
2.3%
Other values (50) 7320
73.2%
ValueCountFrequency (%)
0 242
2.4%
1 141
1.4%
2 161
1.6%
3 157
1.6%
4 130
1.3%
5 117
1.2%
6 132
1.3%
7 206
2.1%
8 204
2.0%
9 111
1.1%
ValueCountFrequency (%)
59 116
1.2%
58 119
1.2%
57 79
0.8%
56 86
0.9%
55 124
1.2%
54 82
0.8%
53 78
0.8%
52 88
0.9%
51 86
0.9%
50 114
1.1%

해양사고장소(경초)
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.7717
Minimum0
Maximum99
Zeros2598
Zeros (%)26.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:33:48.125768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19
Q338
95-th percentile55
Maximum99
Range99
Interquartile range (IQR)38

Descriptive statistics

Standard deviation19.447432
Coefficient of variation (CV)0.8932436
Kurtosis-1.1877687
Mean21.7717
Median Absolute Deviation (MAD)19
Skewness0.38406334
Sum217717
Variance378.2026
MonotonicityNot monotonic
2023-12-13T00:33:48.333757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2598
26.0%
30 203
 
2.0%
20 162
 
1.6%
50 157
 
1.6%
12 155
 
1.6%
54 155
 
1.6%
8 154
 
1.5%
33 153
 
1.5%
24 152
 
1.5%
15 146
 
1.5%
Other values (52) 5965
59.7%
ValueCountFrequency (%)
0 2598
26.0%
1 100
 
1.0%
2 116
 
1.2%
3 133
 
1.3%
4 120
 
1.2%
5 130
 
1.3%
6 142
 
1.4%
7 125
 
1.2%
8 154
 
1.5%
9 142
 
1.4%
ValueCountFrequency (%)
99 1
 
< 0.1%
90 2
 
< 0.1%
59 142
1.4%
58 100
1.0%
57 135
1.4%
56 97
1.0%
55 94
0.9%
54 155
1.6%
53 97
1.0%
52 112
1.1%

해양사고발생지역(대)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
국내
9175 
국외
 
825

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국외
2nd row국외
3rd row국내
4th row국내
5th row국내

Common Values

ValueCountFrequency (%)
국내 9175
91.8%
국외 825
 
8.2%

Length

2023-12-13T00:33:48.527033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:33:48.665845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내 9175
91.8%
국외 825
 
8.2%

해양사고발생지역(중)
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남해영해
3802 
서해영해
2875 
개항 및 진입수로
1261 
동해영해
1237 
남해공해
 
308
Other values (6)
517 

Length

Max length9
Median length4
Mean length4.6078
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서해공해
2nd row남해공해
3rd row남해영해
4th row남해영해
5th row남해영해

Common Values

ValueCountFrequency (%)
남해영해 3802
38.0%
서해영해 2875
28.7%
개항 및 진입수로 1261
 
12.6%
동해영해 1237
 
12.4%
남해공해 308
 
3.1%
동해공해 272
 
2.7%
서해공해 120
 
1.2%
기타 103
 
1.0%
동남아 15
 
0.1%
일본수역 4
 
< 0.1%

Length

2023-12-13T00:33:48.842914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남해영해 3802
30.4%
서해영해 2875
23.0%
개항 1261
 
10.1%
및 1261
 
10.1%
진입수로 1261
 
10.1%
동해영해 1237
 
9.9%
남해공해 308
 
2.5%
동해공해 272
 
2.2%
서해공해 120
 
1.0%
기타 103
 
0.8%
Other values (3) 22
 
0.2%

해양사고발생지역(통계용)
Categorical

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남해영해
3802 
서해영해
2875 
동해영해
1237 
남해공해
 
308
동해공해
 
272
Other values (16)
1506 

Length

Max length21
Median length4
Mean length4.9261
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서해공해
2nd row남해공해
3rd row남해영해
4th row남해영해
5th row남해영해

Common Values

ValueCountFrequency (%)
남해영해 3802
38.0%
서해영해 2875
28.7%
동해영해 1237
 
12.4%
남해공해 308
 
3.1%
동해공해 272
 
2.7%
울산항(미포만포함), 포항항 216
 
2.2%
부산항 및 진입수로 196
 
2.0%
인천항 및 진입수로 147
 
1.5%
기타 125
 
1.2%
목포항 및 진입수로 121
 
1.2%
Other values (11) 701
 
7.0%

Length

2023-12-13T00:33:49.117282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남해영해 3802
31.5%
서해영해 2875
23.8%
동해영해 1237
 
10.3%
및 671
 
5.6%
진입수로 671
 
5.6%
남해공해 308
 
2.6%
동해공해 272
 
2.3%
울산항(미포만포함 216
 
1.8%
포항항 216
 
1.8%
부산항 196
 
1.6%
Other values (26) 1600
13.3%

선박명
Text

Distinct6077
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:33:49.645958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length4.3327
Min length1

Characters and Unicode

Total characters43327
Distinct characters708
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4671 ?
Unique (%)46.7%

Sample

1st row신양호
2nd row제101형성호
3rd row제주로즈마리호
4th row제101명성호
5th row천성호
ValueCountFrequency (%)
선명무 66
 
0.6%
선명미상 49
 
0.5%
대성호 46
 
0.4%
해성호 40
 
0.4%
영진호 37
 
0.4%
태양호 30
 
0.3%
대영호 30
 
0.3%
성진호 29
 
0.3%
명성호 27
 
0.3%
유성호 27
 
0.3%
Other values (6210) 9859
96.3%
2023-12-13T00:33:50.500950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 9354
 
21.6%
1 1397
 
3.2%
0 1395
 
3.2%
제 1384
 
3.2%
성 1245
 
2.9%
2 1230
 
2.8%
진 851
 
2.0%
3 774
 
1.8%
스 679
 
1.6%
7 630
 
1.5%
Other values (698) 24388
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35717
82.4%
Decimal Number 6766
 
15.6%
Uppercase Letter 434
 
1.0%
Space Separator 276
 
0.6%
Open Punctuation 47
 
0.1%
Close Punctuation 47
 
0.1%
Dash Punctuation 34
 
0.1%
Other Punctuation 3
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 9354
26.2%
제 1384
 
3.9%
성 1245
 
3.5%
진 851
 
2.4%
스 679
 
1.9%
영 617
 
1.7%
대 613
 
1.7%
해 598
 
1.7%
이 592
 
1.7%
명 459
 
1.3%
Other values (654) 19325
54.1%
Uppercase Letter
ValueCountFrequency (%)
A 49
 
11.3%
O 43
 
9.9%
N 43
 
9.9%
T 30
 
6.9%
R 29
 
6.7%
I 27
 
6.2%
E 25
 
5.8%
S 25
 
5.8%
G 19
 
4.4%
U 17
 
3.9%
Other values (16) 127
29.3%
Decimal Number
ValueCountFrequency (%)
1 1397
20.6%
0 1395
20.6%
2 1230
18.2%
3 774
11.4%
7 630
9.3%
5 444
 
6.6%
8 376
 
5.6%
9 262
 
3.9%
6 215
 
3.2%
4 43
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
276
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35717
82.4%
Common 7174
 
16.6%
Latin 436
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 9354
26.2%
제 1384
 
3.9%
성 1245
 
3.5%
진 851
 
2.4%
스 679
 
1.9%
영 617
 
1.7%
대 613
 
1.7%
해 598
 
1.7%
이 592
 
1.7%
명 459
 
1.3%
Other values (654) 19325
54.1%
Latin
ValueCountFrequency (%)
A 49
 
11.2%
O 43
 
9.9%
N 43
 
9.9%
T 30
 
6.9%
R 29
 
6.7%
I 27
 
6.2%
E 25
 
5.7%
S 25
 
5.7%
G 19
 
4.4%
U 17
 
3.9%
Other values (17) 129
29.6%
Common
ValueCountFrequency (%)
1 1397
19.5%
0 1395
19.4%
2 1230
17.1%
3 774
10.8%
7 630
8.8%
5 444
 
6.2%
8 376
 
5.2%
276
 
3.8%
9 262
 
3.7%
6 215
 
3.0%
Other values (7) 175
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35717
82.4%
ASCII 7610
 
17.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 9354
26.2%
제 1384
 
3.9%
성 1245
 
3.5%
진 851
 
2.4%
스 679
 
1.9%
영 617
 
1.7%
대 613
 
1.7%
해 598
 
1.7%
이 592
 
1.7%
명 459
 
1.3%
Other values (654) 19325
54.1%
ASCII
ValueCountFrequency (%)
1 1397
18.4%
0 1395
18.3%
2 1230
16.2%
3 774
10.2%
7 630
8.3%
5 444
 
5.8%
8 376
 
4.9%
276
 
3.6%
9 262
 
3.4%
6 215
 
2.8%
Other values (34) 611
8.0%

선박중요도
Real number (ℝ)

SKEWED 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1563
Minimum0
Maximum31
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:33:50.723875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.96745228
Coefficient of variation (CV)0.8366793
Kurtosis499.23282
Mean1.1563
Median Absolute Deviation (MAD)0
Skewness20.014887
Sum11563
Variance0.93596391
MonotonicityNot monotonic
2023-12-13T00:33:50.955733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 8963
89.6%
2 913
 
9.1%
3 65
 
0.7%
4 14
 
0.1%
5 13
 
0.1%
6 6
 
0.1%
7 3
 
< 0.1%
8 3
 
< 0.1%
10 2
 
< 0.1%
18 1
 
< 0.1%
Other values (17) 17
 
0.2%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 8963
89.6%
2 913
 
9.1%
3 65
 
0.7%
4 14
 
0.1%
5 13
 
0.1%
6 6
 
0.1%
7 3
 
< 0.1%
8 3
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
31 1
< 0.1%
30 1
< 0.1%
29 1
< 0.1%
28 1
< 0.1%
26 1
< 0.1%
25 1
< 0.1%
24 1
< 0.1%
23 1
< 0.1%
22 1
< 0.1%
19 1
< 0.1%

선박톤수
Real number (ℝ)

Distinct1612
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1080.4617
Minimum0
Maximum236583
Zeros61
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:33:51.210009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.78
Q12.5
median7.31
Q329
95-th percentile1780.1
Maximum236583
Range236583
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation8674.0634
Coefficient of variation (CV)8.0281084
Kurtosis234.20618
Mean1080.4617
Median Absolute Deviation (MAD)5.57
Skewness13.851158
Sum10804617
Variance75239376
MonotonicityNot monotonic
2023-12-13T00:33:51.468273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.77 1098
 
11.0%
7.93 353
 
3.5%
29.0 316
 
3.2%
3.0 216
 
2.2%
4.99 209
 
2.1%
1.0 196
 
2.0%
2.99 180
 
1.8%
24.0 123
 
1.2%
6.67 106
 
1.1%
7.31 83
 
0.8%
Other values (1602) 7120
71.2%
ValueCountFrequency (%)
0.0 61
0.6%
0.02 2
 
< 0.1%
0.04 1
 
< 0.1%
0.05 4
 
< 0.1%
0.06 2
 
< 0.1%
0.07 2
 
< 0.1%
0.08 1
 
< 0.1%
0.1 11
 
0.1%
0.14 1
 
< 0.1%
0.19 1
 
< 0.1%
ValueCountFrequency (%)
236583.0 1
< 0.1%
171542.0 1
< 0.1%
168666.0 1
< 0.1%
164325.0 1
< 0.1%
160869.0 1
< 0.1%
160849.0 1
< 0.1%
159016.0 1
< 0.1%
156336.0 1
< 0.1%
154226.0 1
< 0.1%
153100.0 1
< 0.1%

톤수범위(통계용)
Categorical

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
5~10톤미만
2152 
3~5톤미만
1496 
1~2톤미만
1416 
2~3톤미만
878 
1톤미만
665 
Other values (15)
3393 

Length

Max length17
Median length16
Mean length7.3665
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20~25톤미만
2nd row25~30톤미만
3rd row3~5톤미만
4th row5~10톤미만
5th row2~3톤미만

Common Values

ValueCountFrequency (%)
5~10톤미만 2152
21.5%
3~5톤미만 1496
15.0%
1~2톤미만 1416
14.2%
2~3톤미만 878
8.8%
1톤미만 665
 
6.7%
50~100톤미만 629
 
6.3%
100~500톤미만 520
 
5.2%
30~50톤미만 441
 
4.4%
25~30톤미만 379
 
3.8%
1,000~5,000톤미만 340
 
3.4%
Other values (10) 1084
10.8%

Length

2023-12-13T00:33:51.739580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5~10톤미만 2152
21.5%
3~5톤미만 1496
15.0%
1~2톤미만 1416
14.2%
2~3톤미만 878
8.8%
1톤미만 665
 
6.7%
50~100톤미만 629
 
6.3%
100~500톤미만 520
 
5.2%
30~50톤미만 441
 
4.4%
25~30톤미만 379
 
3.8%
1,000~5,000톤미만 340
 
3.4%
Other values (10) 1084
10.8%

선박용도(통계용)
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
어선
6498 
수상레저기구
1797 
기타선
 
526
화물선
 
386
예인선
 
365
Other values (2)
 
428

Length

Max length6
Median length2
Mean length2.8893
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
어선 6498
65.0%
수상레저기구 1797
 
18.0%
기타선 526
 
5.3%
화물선 386
 
3.9%
예인선 365
 
3.6%
유조선 270
 
2.7%
여객선 158
 
1.6%

Length

2023-12-13T00:33:51.992337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:33:52.188874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어선 6498
65.0%
수상레저기구 1797
 
18.0%
기타선 526
 
5.3%
화물선 386
 
3.9%
예인선 365
 
3.6%
유조선 270
 
2.7%
여객선 158
 
1.6%

사망합계(선원_여객_기타)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9798 
1
 
184
3
 
9
2
 
7
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9798
98.0%
1 184
 
1.8%
3 9
 
0.1%
2 7
 
0.1%
4 2
 
< 0.1%

Length

2023-12-13T00:33:52.381210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:33:52.534696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9798
98.0%
1 184
 
1.8%
3 9
 
0.1%
2 7
 
0.1%
4 2
 
< 0.1%

실종합계(선원_여객_기타)
Real number (ℝ)

SKEWED  ZEROS 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0097
Minimum0
Maximum9
Zeros9941
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:33:52.665202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.18002542
Coefficient of variation (CV)18.559321
Kurtosis1269.4663
Mean0.0097
Median Absolute Deviation (MAD)0
Skewness32.155847
Sum97
Variance0.032409151
MonotonicityNot monotonic
2023-12-13T00:33:52.792165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 9941
99.4%
1 48
 
0.5%
2 3
 
< 0.1%
7 2
 
< 0.1%
4 2
 
< 0.1%
3 2
 
< 0.1%
9 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 9941
99.4%
1 48
 
0.5%
2 3
 
< 0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
6 1
 
< 0.1%
7 2
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
7 2
 
< 0.1%
6 1
 
< 0.1%
4 2
 
< 0.1%
3 2
 
< 0.1%
2 3
 
< 0.1%
1 48
 
0.5%
0 9941
99.4%

인명피해합계(사망_실종)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.033
Minimum0
Maximum12
Zeros9748
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:33:52.976735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2784219
Coefficient of variation (CV)8.4370271
Kurtosis567.8466
Mean0.033
Median Absolute Deviation (MAD)0
Skewness19.163977
Sum330
Variance0.077518752
MonotonicityNot monotonic
2023-12-13T00:33:53.097021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 9748
97.5%
1 225
 
2.2%
3 9
 
0.1%
2 9
 
0.1%
5 2
 
< 0.1%
7 2
 
< 0.1%
6 2
 
< 0.1%
8 1
 
< 0.1%
12 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 9748
97.5%
1 225
 
2.2%
2 9
 
0.1%
3 9
 
0.1%
4 1
 
< 0.1%
5 2
 
< 0.1%
6 2
 
< 0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
8 1
 
< 0.1%
7 2
 
< 0.1%
6 2
 
< 0.1%
5 2
 
< 0.1%
4 1
 
< 0.1%
3 9
 
0.1%
2 9
 
0.1%
1 225
 
2.2%
0 9748
97.5%

부상합계(선원_여객_기타)
Real number (ℝ)

SKEWED  ZEROS 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1253
Minimum0
Maximum70
Zeros9293
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:33:53.224383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum70
Range70
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.95973539
Coefficient of variation (CV)7.6595003
Kurtosis2865.099
Mean0.1253
Median Absolute Deviation (MAD)0
Skewness42.766372
Sum1253
Variance0.92109202
MonotonicityNot monotonic
2023-12-13T00:33:53.339373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 9293
92.9%
1 533
 
5.3%
2 85
 
0.9%
3 30
 
0.3%
4 18
 
0.2%
5 15
 
0.1%
9 5
 
0.1%
7 4
 
< 0.1%
6 3
 
< 0.1%
10 3
 
< 0.1%
Other values (7) 11
 
0.1%
ValueCountFrequency (%)
0 9293
92.9%
1 533
 
5.3%
2 85
 
0.9%
3 30
 
0.3%
4 18
 
0.2%
5 15
 
0.1%
6 3
 
< 0.1%
7 4
 
< 0.1%
8 3
 
< 0.1%
9 5
 
0.1%
ValueCountFrequency (%)
70 1
 
< 0.1%
20 1
 
< 0.1%
19 1
 
< 0.1%
13 1
 
< 0.1%
12 2
 
< 0.1%
11 2
 
< 0.1%
10 3
< 0.1%
9 5
0.1%
8 3
< 0.1%
7 4
< 0.1%

총합(사망_실종_부상)
Real number (ℝ)

SKEWED  ZEROS 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1583
Minimum0
Maximum70
Zeros9064
Zeros (%)90.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:33:53.478550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum70
Range70
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.01279
Coefficient of variation (CV)6.3979157
Kurtosis2321.9706
Mean0.1583
Median Absolute Deviation (MAD)0
Skewness37.352083
Sum1583
Variance1.0257437
MonotonicityNot monotonic
2023-12-13T00:33:53.613081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 9064
90.6%
1 729
 
7.3%
2 100
 
1.0%
3 37
 
0.4%
4 21
 
0.2%
5 15
 
0.1%
6 6
 
0.1%
7 6
 
0.1%
9 4
 
< 0.1%
8 4
 
< 0.1%
Other values (8) 14
 
0.1%
ValueCountFrequency (%)
0 9064
90.6%
1 729
 
7.3%
2 100
 
1.0%
3 37
 
0.4%
4 21
 
0.2%
5 15
 
0.1%
6 6
 
0.1%
7 6
 
0.1%
8 4
 
< 0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
70 1
 
< 0.1%
22 1
 
< 0.1%
20 1
 
< 0.1%
14 1
 
< 0.1%
13 1
 
< 0.1%
12 3
< 0.1%
11 3
< 0.1%
10 3
< 0.1%
9 4
< 0.1%
8 4
< 0.1%

Sample

사건번호사건명해양사고종류1해양사고발생(년도)해양사고발생(월)해양사고발생(일)해양사고발생(시)해양사고발생(분)해양사고발생시간대계절해양사고장소(위)해양사고장소(위도)해양사고장소(위분)해양사고장소(위초)해양사고장소(경)해양사고장소(경도)해양사고장소(경분)해양사고장소(경초)해양사고발생지역(대)해양사고발생지역(중)해양사고발생지역(통계용)선박명선박중요도선박톤수톤수범위(통계용)선박용도(통계용)사망합계(선원_여객_기타)실종합계(선원_여객_기타)인명피해합계(사망_실종)부상합계(선원_여객_기타)총합(사망_실종_부상)
5447IC-2019-0933어선 신양호 추진축계손상사건기관손상2019121685108:00~12:00겨울북N35340동E12500국외서해공해서해공해신양호120.020~25톤미만어선00000
6105MP-2019-0190어선 제101형성호 부유물감김사건부유물감김2019314101008:00~12:00봄북N33460동E127220국외남해공해남해공해제101형성호129.025~30톤미만어선00000
7939MP-2020-0587낚시어선 제주로즈마리호 운항저해사건운항저해202062741104:00~08:00여름북N33280동E126150국내남해영해남해영해제주로즈마리호13.03~5톤미만어선00000
188BS-2018-0240어선 제101명성호·낚시어선 강태공호 충돌사건충돌201851611008:00~12:00봄북N344148동E1283652국내남해영해남해영해제101명성호19.775~10톤미만어선00000
2699MP-2018-0768어선 천성호 기관손상사건기관손상201810216016:00~20:00가을북N34160동E1264450국내남해영해남해영해천성호12.872~3톤미만어선00000
3485BS-2019-0579어선 영남호 부유물감김사건부유물감김201982282608:00~12:00여름북N342717동E128509국내남해영해남해영해영남호14.993~5톤미만어선00000
10765DH-2021-0292모터보트 인어아저씨호 운항저해사건운항저해2021825223820:00~24:00여름북N3637동E1292450국내개항 및 진입수로울산항(미포만포함), 포항항인어아저씨호11.671~2톤미만수상레저기구00000
13354BS-2022-0603기타선 바다호·어선 대항호 충돌사건충돌2022101571304:00~08:00가을북N0000동E00000국내남해영해남해영해대항호25.825~10톤미만어선00000
9419IC-2020-0715모터보트 영준마린호 추진축계손상사건추진축계손상202091282208:00~12:00가을북N353618동E126264국내서해영해서해영해영준마린호11.021~2톤미만수상레저기구00000
6985BS-2020-0080어선 수성호 등 3척 전복사건전복2020127154112:00~16:00겨울북N345859동E1284159국내남해영해남해영해갈매기호22.842~3톤미만어선00000
사건번호사건명해양사고종류1해양사고발생(년도)해양사고발생(월)해양사고발생(일)해양사고발생(시)해양사고발생(분)해양사고발생시간대계절해양사고장소(위)해양사고장소(위도)해양사고장소(위분)해양사고장소(위초)해양사고장소(경)해양사고장소(경도)해양사고장소(경분)해양사고장소(경초)해양사고발생지역(대)해양사고발생지역(중)해양사고발생지역(통계용)선박명선박중요도선박톤수톤수범위(통계용)선박용도(통계용)사망합계(선원_여객_기타)실종합계(선원_여객_기타)인명피해합계(사망_실종)부상합계(선원_여객_기타)총합(사망_실종_부상)
9839BS-2021-0082세일링요트 써니메이호 기관손상사건기관손상20212211108:00~12:00겨울북N351811동E1292052국내개항 및 진입수로부산항 및 진입수로써니메이호17.25~10톤미만수상레저기구00000
14738IC-2023-0011어선 방주호 기타사건기타20221222153012:00~16:00겨울북N362221동E1263047국내서해영해서해영해방주호124.020~25톤미만어선00000
12448MP-2021-0889모터보트 익스플로호 기관손상사건기관손상2021923164616:00~20:00가을북N343435동E1274139국내남해영해남해영해익스플로호10.231톤미만수상레저기구00000
13437BS-2022-0692어선 대영호 기관손상사건기관손상2022111474704:00~08:00가을북N0000동E00000국내남해영해남해영해대영호11.261~2톤미만어선00000
3475BS-2019-0567어선 진영호 조타장치손상사건조타장치손상2019819143512:00~16:00여름북N344149동E1282759국내남해영해남해영해진영호12.992~3톤미만어선00000
13188BS-2022-0404어선 희영호 전복사건전복20228161004:00~08:00여름북N345420동E1281812국내남해영해남해영해희영호17.935~10톤미만어선00000
10893DH-2021-0433어선 대창호 부유물감김사건부유물감김2021124112908:00~12:00겨울북N3700동E129350국내동해영해동해영해대창호16.675~10톤미만어선00000
14832MP-2022-0052컨테이너운반선 에스엠포틀랜드호 선원부상사건안전사고(인명사상)202211311508:00~12:00겨울북N345420동E1274035국내개항 및 진입수로여수항, 광양항 및 진입수로에스엠 포틀랜드140839.020,000~50,000톤미만화물선00011
4181DH-2019-0387어선 진양호 부유물감김사건부유물감김2019102772304:00~08:00가을북N37536동E128503국내동해영해동해영해진양호13.593~5톤미만어선00000
676BS-2018-0785어선 수영호 · 예인선 남창호의 피예인부선 대길5호 충돌사건충돌20181214203820:00~24:00겨울북N34400동E128300국내남해영해남해영해수영호27.935~10톤미만어선00000