Overview

Dataset statistics

Number of variables4
Number of observations45
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory34.9 B

Variable types

Categorical2
DateTime2

Dataset

Description한국중부발전(주)의 발전연료 운항 정보이며, 목록명은 '선박회사', '선박명', '출발일자', '도착일자'로 구성되어 있음
URLhttps://www.data.go.kr/data/15119600/fileData.do

Alerts

선박명 is highly overall correlated with 선박회사High correlation
선박회사 is highly overall correlated with 선박명High correlation

Reproduction

Analysis started2023-12-12 14:12:12.641900
Analysis finished2023-12-12 14:12:12.974624
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

선박회사
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size492.0 B
H-Line
22 
SW해운
9 
팬오션
5 
화이브오션
4 
대한상선
3 

Length

Max length6
Median length6
Mean length5.0444444
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowH-Line
2nd rowH-Line
3rd rowH-Line
4th rowH-Line
5th rowH-Line

Common Values

ValueCountFrequency (%)
H-Line 22
48.9%
SW해운 9
20.0%
팬오션 5
 
11.1%
화이브오션 4
 
8.9%
대한상선 3
 
6.7%
두양리미티드 2
 
4.4%

Length

2023-12-12T23:12:13.043753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:12:13.187874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
h-line 22
48.9%
sw해운 9
20.0%
팬오션 5
 
11.1%
화이브오션 4
 
8.9%
대한상선 3
 
6.7%
두양리미티드 2
 
4.4%

선박명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
HL IBT
6 
SEA FUTURE
5 
PAN KOMIPO
5 
HL BORYEONG
4 
HL MIDLAND
4 
Other values (8)
21 

Length

Max length12
Median length11
Mean length9.2222222
Min length6

Unique

Unique2 ?
Unique (%)4.4%

Sample

1st rowHL BALTIMORE
2nd rowHL BALTIMORE
3rd rowHL BALTIMORE
4th rowHL POWER
5th rowHL POWER

Common Values

ValueCountFrequency (%)
HL IBT 6
13.3%
SEA FUTURE 5
11.1%
PAN KOMIPO 5
11.1%
HL BORYEONG 4
8.9%
HL MIDLAND 4
8.9%
SEA GRACE 4
8.9%
RICSEA 4
8.9%
HL BALTIMORE 3
6.7%
HL KOMIPO 3
6.7%
SM SAMARINDA 3
6.7%
Other values (3) 4
8.9%

Length

2023-12-12T23:12:13.671542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
hl 22
25.3%
sea 9
10.3%
komipo 8
 
9.2%
ibt 6
 
6.9%
future 5
 
5.7%
pan 5
 
5.7%
grace 4
 
4.6%
ricsea 4
 
4.6%
midland 4
 
4.6%
boryeong 4
 
4.6%
Other values (9) 16
18.4%

출발일자
Date

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2023-01-01 00:00:00
Maximum2023-06-13 00:00:00
2023-12-12T23:12:13.835108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:12:14.010234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

도착일자
Date

Distinct40
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2023-01-16 00:00:00
Maximum2023-06-29 00:00:00
2023-12-12T23:12:14.185772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:12:14.352348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

Correlations

2023-12-12T23:12:14.461823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
선박회사선박명출발일자도착일자
선박회사1.0001.0000.9060.000
선박명1.0001.0000.9190.561
출발일자0.9060.9191.0001.000
도착일자0.0000.5611.0001.000
2023-12-12T23:12:14.586524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
선박명선박회사
선박명1.0000.906
선박회사0.9061.000
2023-12-12T23:12:14.696737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
선박회사선박명
선박회사1.0000.906
선박명0.9061.000

Missing values

2023-12-12T23:12:12.836890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:12:12.928987image/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

선박회사선박명출발일자도착일자
0H-LineHL BALTIMORE2023-03-072023-03-24
1H-LineHL BALTIMORE2023-03-272023-04-15
2H-LineHL BALTIMORE2023-05-312023-06-27
3H-LineHL POWER2023-02-162023-03-09
4H-LineHL POWER2023-03-202023-04-10
5H-LineHL KOMIPO2023-01-292023-03-06
6H-LineHL KOMIPO2023-04-232023-05-13
7H-LineHL KOMIPO2023-05-182023-06-11
8H-LineHL BORYEONG2023-02-062023-02-22
9H-LineHL BORYEONG2023-02-252023-03-15
선박회사선박명출발일자도착일자
35팬오션PAN KOMIPO2023-06-042023-06-21
36화이브오션RICSEA2023-01-172023-01-30
37화이브오션RICSEA2023-02-022023-02-19
38화이브오션RICSEA2023-03-222023-05-11
39화이브오션RICSEA2023-05-162023-06-02
40대한상선SM SAMARINDA2023-01-012023-01-17
41대한상선SM SAMARINDA2023-04-212023-05-09
42대한상선SM SAMARINDA2023-05-142023-06-02
43두양리미티드SHI DAI 12023-01-082023-01-23
44두양리미티드GNS HARVEST2023-05-302023-06-22