Overview

Dataset statistics

Number of variables11
Number of observations332
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.3 KiB
Average record size in memory90.4 B

Variable types

Categorical7
Numeric2
DateTime2

Dataset

Description여수시 시민 여객선 운임에 부과되는 터미널이용료 기초자료 정보입니다. 여객선터미널(대합실) 이용 시 부과되는 터미널 이용료 기준정보입니다.
Author전라남도 여수시
URLhttps://www.data.go.kr/data/15040003/fileData.do

Alerts

일반대인 is highly overall correlated with 일반소아 and 3 other fieldsHigh correlation
일반소아 is highly overall correlated with 일반대인 and 3 other fieldsHigh correlation
항로 is highly overall correlated with 출발지 and 2 other fieldsHigh correlation
출발지 is highly overall correlated with 항로 and 4 other fieldsHigh correlation
도착지 is highly overall correlated with 일반대인 and 5 other fieldsHigh correlation
선박 is highly overall correlated with 항로 and 2 other fieldsHigh correlation
객실등급 is highly overall correlated with 선박High correlation
도서대인 is highly overall correlated with 일반대인 and 4 other fieldsHigh correlation
도서소아 is highly overall correlated with 일반대인 and 4 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 05:06:32.199696
Analysis finished2023-12-12 05:06:33.679975
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

항로
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
여수-손죽-거문
140 
녹동-신지
56 
녹동-동송
41 
(뉴)여수-함구미
30 
녹동-거문도
23 
Other values (3)
42 

Length

Max length9
Median length8
Mean length7.0180723
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row녹동-거문도
2nd row녹동-거문도
3rd row녹동-거문도
4th row녹동-거문도
5th row녹동-거문도

Common Values

ValueCountFrequency (%)
여수-손죽-거문 140
42.2%
녹동-신지 56
 
16.9%
녹동-동송 41
 
12.3%
(뉴)여수-함구미 30
 
9.0%
녹동-거문도 23
 
6.9%
여수-안도-연도 21
 
6.3%
녹동-거문도(2) 11
 
3.3%
여수-둔병 10
 
3.0%

Length

2023-12-12T14:06:33.782149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:06:33.923350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여수-손죽-거문 140
42.2%
녹동-신지 56
 
16.9%
녹동-동송 41
 
12.3%
뉴)여수-함구미 30
 
9.0%
녹동-거문도 23
 
6.9%
여수-안도-연도 21
 
6.3%
녹동-거문도(2 11
 
3.3%
여수-둔병 10
 
3.0%

출발지
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
녹동
126 
여수
111 
나로도
50 
거문도
45 

Length

Max length3
Median length2
Mean length2.2861446
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
녹동 126
38.0%
여수 111
33.4%
나로도 50
 
15.1%
거문도 45
 
13.6%

Length

2023-12-12T14:06:34.066117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:06:34.182924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
녹동 126
38.0%
여수 111
33.4%
나로도 50
 
15.1%
거문도 45
 
13.6%

도착지
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
손죽도
36 
초도
31 
거문도
26 
서도/동도
22 
여수
20 
Other values (38)
197 

Length

Max length7
Median length6
Mean length3.2409639
Min length2

Unique

Unique11 ?
Unique (%)3.3%

Sample

1st row거문도
2nd row금당도
3rd row동송
4th row손죽도
5th row대동

Common Values

ValueCountFrequency (%)
손죽도 36
 
10.8%
초도 31
 
9.3%
거문도 26
 
7.8%
서도/동도 22
 
6.6%
여수 20
 
6.0%
나로도 20
 
6.0%
금당도 16
 
4.8%
연홍도 12
 
3.6%
금산_금진 11
 
3.3%
동송 10
 
3.0%
Other values (33) 128
38.6%

Length

2023-12-12T14:06:34.322009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
손죽도 36
 
10.8%
초도 31
 
9.3%
거문도 26
 
7.8%
서도/동도 22
 
6.6%
여수 20
 
6.0%
나로도 20
 
6.0%
금당도 16
 
4.8%
연홍도 12
 
3.6%
금산_금진 11
 
3.3%
동송 10
 
3.0%
Other values (33) 128
38.6%

선박
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
남 해 퀸
56 
니나
28 
파라다이스
28 
평화페리9호
23 
평화훼리5호
22 
Other values (19)
175 

Length

Max length7
Median length6
Mean length5.3975904
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row평화훼리5호
2nd row평화훼리5호
3rd row평화훼리5호
4th row평화훼리5호
5th row평화훼리5호

Common Values

ValueCountFrequency (%)
남 해 퀸 56
16.9%
니나 28
 
8.4%
파라다이스 28
 
8.4%
평화페리9호 23
 
6.9%
평화훼리5호 22
 
6.6%
은해페리호 22
 
6.6%
금오페리5호 16
 
4.8%
제5은성페리호 16
 
4.8%
조국호 14
 
4.2%
줄리아 아쿠아 14
 
4.2%
Other values (14) 93
28.0%

Length

2023-12-12T14:06:34.455271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남 56
12.2%
해 56
12.2%
퀸 56
12.2%
니나 28
 
6.1%
파라다이스 28
 
6.1%
평화페리9호 23
 
5.0%
평화훼리5호 22
 
4.8%
은해페리호 22
 
4.8%
금오페리5호 16
 
3.5%
제5은성페리호 16
 
3.5%
Other values (17) 135
29.5%

객실등급
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
등급없음
129 
일반실
43 
1층
42 
2층
42 
일반석
28 
Other values (4)
48 

Length

Max length6
Median length4
Mean length3.4006024
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
등급없음 129
38.9%
일반실 43
 
13.0%
1층 42
 
12.7%
2층 42
 
12.7%
일반석 28
 
8.4%
3등실 16
 
4.8%
2층VIP1 14
 
4.2%
2층VIP2 14
 
4.2%
일반객실 4
 
1.2%

Length

2023-12-12T14:06:34.619517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:06:34.781361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등급없음 129
38.9%
일반실 43
 
13.0%
1층 42
 
12.7%
2층 42
 
12.7%
일반석 28
 
8.4%
3등실 16
 
4.8%
2층vip1 14
 
4.2%
2층vip2 14
 
4.2%
일반객실 4
 
1.2%

일반대인
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1112.0482
Minimum400
Maximum1500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T14:06:34.941635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum400
5-th percentile400
Q1800
median1200
Q31500
95-th percentile1500
Maximum1500
Range1100
Interquartile range (IQR)700

Descriptive statistics

Standard deviation389.92914
Coefficient of variation (CV)0.35064051
Kurtosis-1.1114557
Mean1112.0482
Median Absolute Deviation (MAD)300
Skewness-0.54187426
Sum369200
Variance152044.73
MonotonicityNot monotonic
2023-12-12T14:06:35.059354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1500 124
37.3%
400 32
 
9.6%
550 25
 
7.5%
1200 23
 
6.9%
1100 18
 
5.4%
950 15
 
4.5%
750 14
 
4.2%
1300 12
 
3.6%
900 11
 
3.3%
700 10
 
3.0%
Other values (8) 48
 
14.5%
ValueCountFrequency (%)
400 32
9.6%
500 1
 
0.3%
550 25
7.5%
700 10
 
3.0%
750 14
4.2%
800 6
 
1.8%
850 9
 
2.7%
900 11
 
3.3%
950 15
4.5%
1000 6
 
1.8%
ValueCountFrequency (%)
1500 124
37.3%
1400 3
 
0.9%
1350 8
 
2.4%
1300 12
 
3.6%
1250 8
 
2.4%
1200 23
 
6.9%
1150 7
 
2.1%
1100 18
 
5.4%
1000 6
 
1.8%
950 15
 
4.5%

일반소아
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean423.79518
Minimum200
Maximum750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T14:06:35.164352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile200
Q1200
median400
Q3750
95-th percentile750
Maximum750
Range550
Interquartile range (IQR)550

Descriptive statistics

Standard deviation222.53699
Coefficient of variation (CV)0.52510506
Kurtosis-1.4234042
Mean423.79518
Median Absolute Deviation (MAD)200
Skewness0.44868689
Sum140700
Variance49522.713
MonotonicityNot monotonic
2023-12-12T14:06:35.297094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
200 110
33.1%
750 84
25.3%
450 36
 
10.8%
250 27
 
8.1%
300 20
 
6.0%
400 19
 
5.7%
600 18
 
5.4%
550 8
 
2.4%
350 8
 
2.4%
650 1
 
0.3%
ValueCountFrequency (%)
200 110
33.1%
250 27
 
8.1%
300 20
 
6.0%
350 8
 
2.4%
400 19
 
5.7%
450 36
 
10.8%
500 1
 
0.3%
550 8
 
2.4%
600 18
 
5.4%
650 1
 
0.3%
ValueCountFrequency (%)
750 84
25.3%
650 1
 
0.3%
600 18
 
5.4%
550 8
 
2.4%
500 1
 
0.3%
450 36
10.8%
400 19
 
5.7%
350 8
 
2.4%
300 20
 
6.0%
250 27
 
8.1%

도서대인
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
750
112 
200
33 
250
31 
550
24 
500
22 
Other values (8)
110 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row750
2nd row250
3rd row300
4th row750
5th row750

Common Values

ValueCountFrequency (%)
750 112
33.7%
200 33
 
9.9%
250 31
 
9.3%
550 24
 
7.2%
500 22
 
6.6%
300 20
 
6.0%
400 20
 
6.0%
- 20
 
6.0%
700 17
 
5.1%
350 16
 
4.8%
Other values (3) 17
 
5.1%

Length

2023-12-12T14:06:35.454356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
750 112
33.7%
200 33
 
9.9%
250 31
 
9.3%
550 24
 
7.2%
500 22
 
6.6%
300 20
 
6.0%
400 20
 
6.0%
20
 
6.0%
700 17
 
5.1%
350 16
 
4.8%
Other values (3) 17
 
5.1%

도서소아
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
200
111 
750
80 
350
29 
400
27 
250
24 
Other values (5)
61 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row550
2nd row200
3rd row200
4th row500
5th row400

Common Values

ValueCountFrequency (%)
200 111
33.4%
750 80
24.1%
350 29
 
8.7%
400 27
 
8.1%
250 24
 
7.2%
- 20
 
6.0%
500 15
 
4.5%
300 14
 
4.2%
550 8
 
2.4%
100 4
 
1.2%

Length

2023-12-12T14:06:35.583843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:06:35.712804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
200 111
33.4%
750 80
24.1%
350 29
 
8.7%
400 27
 
8.1%
250 24
 
7.2%
20
 
6.0%
500 15
 
4.5%
300 14
 
4.2%
550 8
 
2.4%
100 4
 
1.2%

시행일자
Date

Distinct25
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2010-03-21 00:00:00
Maximum2021-06-17 00:00:00
2023-12-12T14:06:35.852332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:06:35.990157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

입력일시
Date

Distinct31
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2010-03-21 18:28:00
Maximum2021-06-17 13:05:00
2023-12-12T14:06:36.153406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:06:36.295723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

Interactions

2023-12-12T14:06:33.223739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:06:33.043696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:06:33.311439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:06:33.136423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:06:36.398455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
항로출발지도착지선박객실등급일반대인일반소아도서대인도서소아시행일자입력일시
항로1.0000.9320.9670.9910.7440.6670.6950.7550.7430.9880.993
출발지0.9321.0000.8630.8950.6280.6430.6200.7370.7530.8150.852
도착지0.9670.8631.0000.7810.5740.9860.9000.9700.9230.7560.656
선박0.9910.8950.7811.0000.9610.5820.7180.7360.7210.9910.995
객실등급0.7440.6280.5740.9611.0000.3370.5180.4330.5850.9500.987
일반대인0.6670.6430.9860.5820.3371.0000.8170.9610.8290.5460.547
일반소아0.6950.6200.9000.7180.5180.8171.0000.8330.8750.6990.703
도서대인0.7550.7370.9700.7360.4330.9610.8331.0000.9030.6560.680
도서소아0.7430.7530.9230.7210.5850.8290.8750.9031.0000.7330.748
시행일자0.9880.8150.7560.9910.9500.5460.6990.6560.7331.0001.000
입력일시0.9930.8520.6560.9950.9870.5470.7030.6800.7481.0001.000
2023-12-12T14:06:36.545383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객실등급도서대인선박항로도서소아도착지출발지
객실등급1.0000.2000.7820.4860.3130.2330.454
도서대인0.2001.0000.3350.4670.6740.7330.527
선박0.7820.3351.0000.8350.3530.2740.620
항로0.4860.4670.8351.0000.4750.7690.658
도서소아0.3130.6740.3530.4751.0000.6090.558
도착지0.2330.7330.2740.7690.6091.0000.595
출발지0.4540.5270.6200.6580.5580.5951.000
2023-12-12T14:06:36.703406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일반대인일반소아항로출발지도착지선박객실등급도서대인도서소아
일반대인1.0000.9110.3990.4750.7780.2670.1830.8420.548
일반소아0.9111.0000.4200.4790.5620.3770.3120.5580.650
항로0.3990.4201.0000.6580.7690.8350.4860.4670.475
출발지0.4750.4790.6581.0000.5950.6200.4540.5270.558
도착지0.7780.5620.7690.5951.0000.2740.2330.7330.609
선박0.2670.3770.8350.6200.2741.0000.7820.3350.353
객실등급0.1830.3120.4860.4540.2330.7821.0000.2000.313
도서대인0.8420.5580.4670.5270.7330.3350.2001.0000.674
도서소아0.5480.6500.4750.5580.6090.3530.3130.6741.000

Missing values

2023-12-12T14:06:33.435614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:06:33.610632image/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

항로출발지도착지선박객실등급일반대인일반소아도서대인도서소아시행일자입력일시
0녹동-거문도녹동거문도평화훼리5호등급없음15006007505502016-03-24 00:002016-03-24 12:34
1녹동-거문도녹동금당도평화훼리5호등급없음5502002502002016-03-24 00:002016-03-24 12:34
2녹동-거문도녹동동송평화훼리5호등급없음7002003002002016-03-24 00:002016-03-24 12:34
3녹동-거문도녹동손죽도평화훼리5호등급없음15005507505002016-03-24 00:002016-03-24 12:34
4녹동-거문도녹동대동평화훼리5호등급없음15004507504002016-03-24 00:002016-03-24 12:34
5녹동-거문도녹동거문도평화페리9호등급없음15006007505502016-05-18 00:002016-05-18 14:53
6녹동-거문도녹동금당도평화페리9호등급없음5502002502002016-05-18 00:002016-05-18 14:53
7녹동-거문도녹동동송평화페리9호등급없음7002003002002016-05-18 00:002016-05-18 14:53
8녹동-거문도녹동손죽도평화페리9호등급없음15006007505502016-05-18 00:002016-05-18 14:53
9녹동-거문도녹동초도평화페리9호등급없음15004507504002016-05-18 00:002016-05-18 14:53
항로출발지도착지선박객실등급일반대인일반소아도서대인도서소아시행일자입력일시
322(뉴)여수-함구미여수개도한림페리5호일반실8502003502002012-05-17 00:002012-05-16 15:42
323(뉴)여수-함구미여수자봉도한림페리5호일반실8502003502002012-05-17 00:002012-05-16 15:42
324(뉴)여수-함구미여수제도한림페리5호일반실8002003502002012-05-17 00:002012-05-16 15:42
325(뉴)여수-함구미여수금오도_함구미한림페리5호일반실12003005502502012-05-17 00:002012-05-16 15:42
326(뉴)여수-함구미여수금오도_송고한림페리5호일반실11002505002502012-05-17 00:002012-05-16 15:42
327(뉴)여수-함구미여수개도한려페리호등급없음8502003502002012-05-17 00:002012-05-16 15:42
328(뉴)여수-함구미여수자봉도한려페리호등급없음8502003502002012-05-17 00:002012-05-16 15:42
329(뉴)여수-함구미여수제도한려페리호등급없음8002003502002012-05-17 00:002012-05-16 15:42
330(뉴)여수-함구미여수금오도_함구미한려페리호등급없음12003005502502012-05-17 00:002012-05-16 15:42
331(뉴)여수-함구미여수금오도_송고한려페리호등급없음11002505002502012-05-17 00:002012-05-16 15:42