Overview

Dataset statistics

Number of variables12
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory103.8 B

Variable types

Categorical6
Text1
Numeric4
DateTime1

Dataset

Description제주특별자치도 내 유도선현황에 대한 데이터로 유도선의 유도선장, 선명, 승선정원, 전화번호 등의 항목을 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15056325/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
소유자 is highly overall correlated with 선원정원 and 5 other fieldsHigh correlation
유도선장 is highly overall correlated with 구분 and 4 other fieldsHigh correlation
전화번호 is highly overall correlated with 선원정원 and 5 other fieldsHigh correlation
영업구역 is highly overall correlated with 톤수 and 6 other fieldsHigh correlation
톤수 is highly overall correlated with 승객정원 and 3 other fieldsHigh correlation
승객정원 is highly overall correlated with 톤수 and 2 other fieldsHigh correlation
선원정원 is highly overall correlated with 톤수 and 4 other fieldsHigh correlation
구분 is highly overall correlated with 톤수 and 5 other fieldsHigh correlation
운항정보 is highly overall correlated with 유도선장 and 3 other fieldsHigh correlation
선명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:24:57.303795
Analysis finished2023-12-12 06:25:00.002908
Duration2.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
유선
25 
도선
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유선 25
71.4%
도선 10
 
28.6%

Length

2023-12-12T15:25:00.092676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:25:00.244536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유선 25
71.4%
도선 10
 
28.6%

유도선장
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)34.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
서귀항
5 
성천포구
5 
성산항
4 
우도-성산
4 
우도-성산/우도-종달
4 
Other values (7)
13 

Length

Max length11
Median length3
Mean length4.4571429
Min length3

Unique

Unique2 ?
Unique (%)5.7%

Sample

1st row김녕항
2nd row김녕항
3rd row신흥항
4th row신흥항
5th row고산항

Common Values

ValueCountFrequency (%)
서귀항 5
14.3%
성천포구 5
14.3%
성산항 4
11.4%
우도-성산 4
11.4%
우도-성산/우도-종달 4
11.4%
고산항 3
8.6%
김녕항 2
 
5.7%
신흥항 2
 
5.7%
대포항 2
 
5.7%
한림-비양도 2
 
5.7%
Other values (2) 2
 
5.7%

Length

2023-12-12T15:25:00.407546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서귀항 5
14.3%
성천포구 5
14.3%
성산항 4
11.4%
우도-성산 4
11.4%
우도-성산/우도-종달 4
11.4%
고산항 3
8.6%
김녕항 2
 
5.7%
신흥항 2
 
5.7%
대포항 2
 
5.7%
한림-비양도 2
 
5.7%
Other values (2) 2
 
5.7%

선명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T15:25:00.684094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length6.6
Min length3

Characters and Unicode

Total characters231
Distinct characters76
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row보나51호
2nd row보나제이호
3rd row파티샤호
4th row파티샤1호
5th row비너스1호(잠수유선)
ValueCountFrequency (%)
보나51호 1
 
2.7%
우도사랑1호 1
 
2.7%
아일랜드에프2호 1
 
2.7%
제주사랑호 1
 
2.7%
그린월드호 1
 
2.7%
보이져1호(잠수유선)-휴업중 1
 
2.7%
비양도 1
 
2.7%
천년호 1
 
2.7%
그랑블루550호 1
 
2.7%
용궁48 1
 
2.7%
Other values (27) 27
73.0%
2023-12-12T15:25:01.099866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 34
 
14.7%
도 8
 
3.5%
그 7
 
3.0%
1 7
 
3.0%
우 7
 
3.0%
리 6
 
2.6%
) 6
 
2.6%
선 6
 
2.6%
유 6
 
2.6%
수 6
 
2.6%
Other values (66) 138
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 190
82.3%
Decimal Number 25
 
10.8%
Close Punctuation 6
 
2.6%
Open Punctuation 6
 
2.6%
Space Separator 2
 
0.9%
Dash Punctuation 1
 
0.4%
Letter Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 34
 
17.9%
도 8
 
4.2%
그 7
 
3.7%
우 7
 
3.7%
리 6
 
3.2%
선 6
 
3.2%
유 6
 
3.2%
수 6
 
3.2%
잠 6
 
3.2%
랑 5
 
2.6%
Other values (52) 99
52.1%
Decimal Number
ValueCountFrequency (%)
1 7
28.0%
2 5
20.0%
5 4
16.0%
0 2
 
8.0%
4 2
 
8.0%
3 2
 
8.0%
8 1
 
4.0%
9 1
 
4.0%
6 1
 
4.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 190
82.3%
Common 40
 
17.3%
Latin 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 34
 
17.9%
도 8
 
4.2%
그 7
 
3.7%
우 7
 
3.7%
리 6
 
3.2%
선 6
 
3.2%
유 6
 
3.2%
수 6
 
3.2%
잠 6
 
3.2%
랑 5
 
2.6%
Other values (52) 99
52.1%
Common
ValueCountFrequency (%)
1 7
17.5%
) 6
15.0%
( 6
15.0%
2 5
12.5%
5 4
10.0%
0 2
 
5.0%
2
 
5.0%
4 2
 
5.0%
3 2
 
5.0%
- 1
 
2.5%
Other values (3) 3
7.5%
Latin
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 190
82.3%
ASCII 40
 
17.3%
Number Forms 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 34
 
17.9%
도 8
 
4.2%
그 7
 
3.7%
우 7
 
3.7%
리 6
 
3.2%
선 6
 
3.2%
유 6
 
3.2%
수 6
 
3.2%
잠 6
 
3.2%
랑 5
 
2.6%
Other values (52) 99
52.1%
ASCII
ValueCountFrequency (%)
1 7
17.5%
) 6
15.0%
( 6
15.0%
2 5
12.5%
5 4
10.0%
0 2
 
5.0%
2
 
5.0%
4 2
 
5.0%
3 2
 
5.0%
- 1
 
2.5%
Other values (3) 3
7.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

톤수
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.31514
Minimum0.33
Maximum934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T15:25:01.240234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.33
5-th percentile4.39
Q113
median28
Q3136.5
95-th percentile325
Maximum934
Range933.67
Interquartile range (IQR)123.5

Descriptive statistics

Standard deviation179.20728
Coefficient of variation (CV)1.6544989
Kurtosis12.899874
Mean108.31514
Median Absolute Deviation (MAD)20
Skewness3.2040287
Sum3791.03
Variance32115.25
MonotonicityNot monotonic
2023-12-12T15:25:01.350355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
24.0 4
 
11.4%
13.0 3
 
8.6%
0.33 2
 
5.7%
325.0 2
 
5.7%
23.0 1
 
2.9%
934.0 1
 
2.9%
293.0 1
 
2.9%
172.0 1
 
2.9%
153.0 1
 
2.9%
87.0 1
 
2.9%
Other values (18) 18
51.4%
ValueCountFrequency (%)
0.33 2
5.7%
6.13 1
 
2.9%
6.57 1
 
2.9%
6.67 1
 
2.9%
11.0 1
 
2.9%
12.0 1
 
2.9%
13.0 3
8.6%
14.0 1
 
2.9%
16.0 1
 
2.9%
23.0 1
 
2.9%
ValueCountFrequency (%)
934.0 1
2.9%
325.0 2
5.7%
320.0 1
2.9%
309.0 1
2.9%
293.0 1
2.9%
191.0 1
2.9%
172.0 1
2.9%
153.0 1
2.9%
120.0 1
2.9%
103.0 1
2.9%

승객정원
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131
Minimum6
Maximum499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T15:25:01.471328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile9.5
Q128
median52
Q3172.5
95-th percentile406.9
Maximum499
Range493
Interquartile range (IQR)144.5

Descriptive statistics

Standard deviation149.48657
Coefficient of variation (CV)1.1411189
Kurtosis0.16913484
Mean131
Median Absolute Deviation (MAD)40
Skewness1.2766046
Sum4585
Variance22346.235
MonotonicityNot monotonic
2023-12-12T15:25:01.597729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
6 2
 
5.7%
48 2
 
5.7%
44 2
 
5.7%
394 2
 
5.7%
26 2
 
5.7%
12 2
 
5.7%
27 1
 
2.9%
393 1
 
2.9%
98 1
 
2.9%
117 1
 
2.9%
Other values (19) 19
54.3%
ValueCountFrequency (%)
6 2
5.7%
11 1
2.9%
12 2
5.7%
17 1
2.9%
26 2
5.7%
27 1
2.9%
29 1
2.9%
44 2
5.7%
46 1
2.9%
48 2
5.7%
ValueCountFrequency (%)
499 1
2.9%
437 1
2.9%
394 2
5.7%
393 1
2.9%
388 1
2.9%
293 1
2.9%
278 1
2.9%
200 1
2.9%
145 1
2.9%
135 1
2.9%

선원정원
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7714286
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T15:25:01.721353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile7.5
Maximum15
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.8189038
Coefficient of variation (CV)0.74743661
Kurtosis7.2947211
Mean3.7714286
Median Absolute Deviation (MAD)1
Skewness2.3865127
Sum132
Variance7.9462185
MonotonicityNot monotonic
2023-12-12T15:25:01.843201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 12
34.3%
3 6
17.1%
5 5
14.3%
6 4
 
11.4%
4 3
 
8.6%
1 3
 
8.6%
11 1
 
2.9%
15 1
 
2.9%
ValueCountFrequency (%)
1 3
 
8.6%
2 12
34.3%
3 6
17.1%
4 3
 
8.6%
5 5
14.3%
6 4
 
11.4%
11 1
 
2.9%
15 1
 
2.9%
ValueCountFrequency (%)
15 1
 
2.9%
11 1
 
2.9%
6 4
 
11.4%
5 5
14.3%
4 3
 
8.6%
3 6
17.1%
2 12
34.3%
1 3
 
8.6%

건조년도
Real number (ℝ)

Distinct19
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2005.1143
Minimum1988
Maximum2015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T15:25:01.968349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1988
5-th percentile1992.7
Q11998
median2008
Q32012
95-th percentile2014
Maximum2015
Range27
Interquartile range (IQR)14

Descriptive statistics

Standard deviation7.835708
Coefficient of variation (CV)0.003907861
Kurtosis-0.96235027
Mean2005.1143
Median Absolute Deviation (MAD)5
Skewness-0.56862928
Sum70179
Variance61.398319
MonotonicityNot monotonic
2023-12-12T15:25:02.112720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2012 4
11.4%
2009 3
 
8.6%
2013 3
 
8.6%
2004 3
 
8.6%
2014 3
 
8.6%
2008 2
 
5.7%
1994 2
 
5.7%
2003 2
 
5.7%
1995 2
 
5.7%
1998 2
 
5.7%
Other values (9) 9
25.7%
ValueCountFrequency (%)
1988 1
 
2.9%
1992 1
 
2.9%
1993 1
 
2.9%
1994 2
5.7%
1995 2
5.7%
1997 1
 
2.9%
1998 2
5.7%
2002 1
 
2.9%
2003 2
5.7%
2004 3
8.6%
ValueCountFrequency (%)
2015 1
 
2.9%
2014 3
8.6%
2013 3
8.6%
2012 4
11.4%
2011 1
 
2.9%
2010 1
 
2.9%
2009 3
8.6%
2008 2
5.7%
2007 1
 
2.9%
2004 3
8.6%

소유자
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
퍼시픽랜드㈜
5 
우도해운㈜
4 
제주씨월드㈜
 
2
㈜우도랜드
 
2
㈜차귀도유람선
 
2
Other values (12)
20 

Length

Max length13
Median length8
Mean length6.5428571
Min length4

Unique

Unique4 ?
Unique (%)11.4%

Sample

1st row㈜김녕요트클럽
2nd row㈜김녕요트클럽
3rd row국제리더스클럽
4th row국제리더스클럽
5th row㈜제주해적잠수함

Common Values

ValueCountFrequency (%)
퍼시픽랜드㈜ 5
14.3%
우도해운㈜ 4
 
11.4%
제주씨월드㈜ 2
 
5.7%
㈜우도랜드 2
 
5.7%
㈜차귀도유람선 2
 
5.7%
대국해저관광㈜ 2
 
5.7%
㈜제이에스에이 2
 
5.7%
㈜제이엠 2
 
5.7%
제주마린리조트영어조합법인 2
 
5.7%
㈜제주잠수함관광 2
 
5.7%
Other values (7) 10
28.6%

Length

2023-12-12T15:25:02.310415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
퍼시픽랜드㈜ 5
14.3%
우도해운㈜ 4
 
11.4%
㈜제이엠 2
 
5.7%
㈜김녕요트클럽 2
 
5.7%
국제리더스클럽 2
 
5.7%
우림해운㈜ 2
 
5.7%
㈜제주잠수함관광 2
 
5.7%
제주마린리조트영어조합법인 2
 
5.7%
㈜제이에스에이 2
 
5.7%
대국해저관광㈜ 2
 
5.7%
Other values (7) 10
28.6%

전화번호
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
064-738-2111
5 
064-782-5671
4 
064-784-2337
 
2
064-782-1989
 
2
064-738-5355
 
2
Other values (12)
20 

Length

Max length14
Median length12
Mean length12.057143
Min length12

Unique

Unique4 ?
Unique (%)11.4%

Sample

1st row064-725-0225
2nd row064-725-0225
3rd row064-783-0000
4th row064-783-0000
5th row064-772-2808

Common Values

ValueCountFrequency (%)
064-738-2111 5
14.3%
064-782-5671 4
 
11.4%
064-784-2337 2
 
5.7%
064-782-1989 2
 
5.7%
064-738-5355 2
 
5.7%
064-732-6060 2
 
5.7%
064-738-0175 2
 
5.7%
064-739-7776 2
 
5.7%
064-784-6161 2
 
5.7%
064-794-0200 2
 
5.7%
Other values (7) 10
28.6%

Length

2023-12-12T15:25:02.522078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
064-738-2111 5
14.3%
064-782-5671 4
 
11.4%
064-739-7776 2
 
5.7%
064-725-0225 2
 
5.7%
064-783-0000 2
 
5.7%
064-784-2335 2
 
5.7%
064-794-0200 2
 
5.7%
064-784-6161 2
 
5.7%
064-738-0175 2
 
5.7%
064-732-6060 2
 
5.7%
Other values (7) 10
28.6%

영업구역
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
성천포구 3마일 / 성천-마라인군-범섬 인근
5 
우도 - 성산
4 
우도 - 종달 / 우도 - 성산
4 
차귀도 부근 해상
3 
김녕 연안 2마일
2 
Other values (10)
17 

Length

Max length24
Median length17
Mean length12.485714
Min length7

Unique

Unique3 ?
Unique (%)8.6%

Sample

1st row김녕 연안 2마일
2nd row김녕 연안 2마일
3rd row신흥항 2마일
4th row신흥항 2마일
5th row차귀도 부근 해상

Common Values

ValueCountFrequency (%)
성천포구 3마일 / 성천-마라인군-범섬 인근 5
14.3%
우도 - 성산 4
11.4%
우도 - 종달 / 우도 - 성산 4
11.4%
차귀도 부근 해상 3
8.6%
김녕 연안 2마일 2
 
5.7%
신흥항 2마일 2
 
5.7%
문섬+외동개 부근 해상 2
 
5.7%
서귀포항 인근 2
 
5.7%
대포항 반경 5마일 2
 
5.7%
우도 주간명월 부근 2
 
5.7%
Other values (5) 7
20.0%

Length

2023-12-12T15:25:02.682162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23
17.8%
우도 14
 
10.9%
부근 8
 
6.2%
성산 8
 
6.2%
인근 7
 
5.4%
해상 6
 
4.7%
3마일 5
 
3.9%
성천포구 5
 
3.9%
성천-마라인군-범섬 5
 
3.9%
종달 4
 
3.1%
Other values (21) 44
34.1%

운항정보
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
수시운항
15 
70분 간격
5 
수시운항(예약제)
5 
예약제
3 
60분 간격
2 
Other values (4)
5 

Length

Max length9
Median length6
Mean length5.1714286
Min length3

Unique

Unique3 ?
Unique (%)8.6%

Sample

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

Common Values

ValueCountFrequency (%)
수시운항 15
42.9%
70분 간격 5
 
14.3%
수시운항(예약제) 5
 
14.3%
예약제 3
 
8.6%
60분 간격 2
 
5.7%
1일 3회 2
 
5.7%
1일 2회 1
 
2.9%
1일 4회 1
 
2.9%
1일 5회 1
 
2.9%

Length

2023-12-12T15:25:02.817303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:25:02.933100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수시운항 15
31.9%
간격 7
14.9%
70분 5
 
10.6%
수시운항(예약제 5
 
10.6%
1일 5
 
10.6%
예약제 3
 
6.4%
60분 2
 
4.3%
3회 2
 
4.3%
2회 1
 
2.1%
4회 1
 
2.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2020-02-28 00:00:00
Maximum2020-02-28 00:00:00
2023-12-12T15:25:03.041437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:25:03.403543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T15:24:59.201976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:24:57.956085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:24:58.342037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:24:58.784485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:24:59.331527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:24:58.047668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:24:58.449795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:24:58.875292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:24:59.452868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:24:58.144705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:24:58.570689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:24:58.973594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:24:59.574567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:24:58.228152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:24:58.686687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:24:59.093049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:25:03.485365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분유도선장선명톤수승객정원선원정원건조년도소유자전화번호영업구역운항정보
구분1.0001.0001.0000.4800.8770.7200.4061.0001.0001.0000.565
유도선장1.0001.0001.0000.7500.0000.6700.6940.9840.9841.0000.902
선명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
톤수0.4800.7501.0001.0000.8080.7700.4020.6580.6580.9200.636
승객정원0.8770.0001.0000.8081.0000.7980.5010.7790.7790.5730.409
선원정원0.7200.6701.0000.7700.7981.0000.3920.8780.8780.8570.692
건조년도0.4060.6941.0000.4020.5010.3921.0000.8870.8870.8330.575
소유자1.0000.9841.0000.6580.7790.8780.8871.0001.0000.9900.972
전화번호1.0000.9841.0000.6580.7790.8780.8871.0001.0000.9900.972
영업구역1.0001.0001.0000.9200.5730.8570.8330.9900.9901.0000.952
운항정보0.5650.9021.0000.6360.4090.6920.5750.9720.9720.9521.000
2023-12-12T15:25:03.620906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소유자유도선장구분전화번호운항정보영업구역
소유자1.0000.8050.7391.0000.7160.882
유도선장0.8051.0000.8350.8050.6320.933
구분0.7390.8351.0000.7390.4990.778
전화번호1.0000.8050.7391.0000.7160.882
운항정보0.7160.6320.4990.7161.0000.695
영업구역0.8820.9330.7780.8820.6951.000
2023-12-12T15:25:03.749714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
톤수승객정원선원정원건조년도구분유도선장소유자전화번호영업구역운항정보
톤수1.0000.8900.9210.1010.5540.4650.2990.2990.5210.397
승객정원0.8901.0000.780-0.1240.6300.0000.3660.3660.2190.190
선원정원0.9210.7801.0000.0390.4950.2740.5120.5120.5030.399
건조년도0.101-0.1240.0391.0000.3720.3200.4960.4960.4580.270
구분0.5540.6300.4950.3721.0000.8350.7390.7390.7780.499
유도선장0.4650.0000.2740.3200.8351.0000.8050.8050.9330.632
소유자0.2990.3660.5120.4960.7390.8051.0001.0000.8820.716
전화번호0.2990.3660.5120.4960.7390.8051.0001.0000.8820.716
영업구역0.5210.2190.5030.4580.7780.9330.8820.8821.0000.695
운항정보0.3970.1900.3990.2700.4990.6320.7160.7160.6951.000

Missing values

2023-12-12T15:24:59.747983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:24:59.934482image/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

구분유도선장선명톤수승객정원선원정원건조년도소유자전화번호영업구역운항정보데이터기준일자
0유선김녕항보나51호23.02732009㈜김녕요트클럽064-725-0225김녕 연안 2마일수시운항2020-02-28
1유선김녕항보나제이호28.04442015㈜김녕요트클럽064-725-0225김녕 연안 2마일수시운항2020-02-28
2유선신흥항파티샤호0.33612008국제리더스클럽064-783-0000신흥항 2마일수시운항2020-02-28
3유선신흥항파티샤1호0.33612008국제리더스클럽064-783-0000신흥항 2마일수시운항2020-02-28
4유선고산항비너스1호(잠수유선)13.04821994㈜제주해적잠수함064-772-2808차귀도 부근 해상수시운항2020-02-28
5유선고산항베누스타3호24.05422012㈜차귀도유람선064-738-5355차귀도 부근 해상수시운항2020-02-28
6유선고산항베누스타2호6.571722012㈜차귀도유람선064-738-5355차귀도 부근 해상수시운항2020-02-28
7유선서귀항지아호(잠수유선)16.06522003대국해저관광㈜064-732-6060문섬+외동개 부근 해상70분 간격2020-02-28
8유선서귀항마리아호(잠수유선)12.04621988대국해저관광㈜064-732-6060문섬+외동개 부근 해상70분 간격2020-02-28
9유선서귀항뉴파라다이스호320.0499112003파라다이스064-732-1717문섬+섭섬+범섬 근해예약제2020-02-28
구분유도선장선명톤수승객정원선원정원건조년도소유자전화번호영업구역운항정보데이터기준일자
25도선한림-비양도비양도 천년호29.09821997㈜비양도천년랜드064-796-7522한림 - 비양도1일 4회2020-02-28
26도선한림-비양도비양도호48.011732014㈜비양도해운0507-1382-3515한림 - 비양도1일 5회2020-02-28
27도선우도-성산우도사랑1호325.039462004우림해운㈜064-784-2335우도 - 성산수시운항2020-02-28
28도선우도-성산우도사랑2호325.039462004우림해운㈜064-784-2335우도 - 성산수시운항2020-02-28
29도선우도-성산/우도-종달우도웨리호309.039342014우도해운㈜064-782-5671우도 - 종달 / 우도 - 성산수시운항2020-02-28
30도선우도-성산/우도-종달우도카훼리호120.013551995우도해운㈜064-782-5671우도 - 종달 / 우도 - 성산수시운항2020-02-28
31도선우도-성산/우도-종달덕일훼리호87.08151995우도해운㈜064-782-5671우도 - 종달 / 우도 - 성산수시운항2020-02-28
32도선우도-성산/우도-종달우일훼리호153.029361998우도해운㈜064-782-5671우도 - 종달 / 우도 - 성산수시운항2020-02-28
33도선우도-성산우도랜드1호172.020042013㈜우도랜드064-782-1989우도 - 성산수시운항2020-02-28
34도선우도-성산우도랜드2호293.043752014㈜우도랜드064-782-1989우도 - 성산수시운항2020-02-28