Overview

Dataset statistics

Number of variables10
Number of observations71
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory84.9 B

Variable types

Categorical4
Text3
Numeric3

Dataset

Description제주특별자치도 제주시에서 운행하는 시내/외 버스관련한 데이터로 구분, 노선명, 운행구간, 운행대수, 배차간격 등 의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15051474/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
1일운행횟수 is highly overall correlated with 운행대수 (평일)High correlation
운행대수 (평일) is highly overall correlated with 1일운행횟수 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 운행대수 (평일) and 2 other fieldsHigh correlation
운행업체 is highly overall correlated with 구분High correlation
비고 is highly overall correlated with 구분High correlation
노선명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:46:23.925049
Analysis finished2023-12-12 03:46:26.408714
Duration2.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
지선
37 
간선
34 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지선 37
52.1%
간선 34
47.9%

Length

2023-12-12T12:46:26.490426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:46:26.634410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지선 37
52.1%
간선 34
47.9%

노선명
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T12:46:26.918250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.028169
Min length3

Characters and Unicode

Total characters215
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)100.0%

Sample

1st row311
2nd row312
3rd row315
4th row316
5th row320
ValueCountFrequency (%)
311 1
 
1.4%
446 1
 
1.4%
442 1
 
1.4%
441 1
 
1.4%
440 1
 
1.4%
437 1
 
1.4%
436 1
 
1.4%
435 1
 
1.4%
432 1
 
1.4%
415 1
 
1.4%
Other values (61) 61
85.9%
2023-12-12T12:46:27.394920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 57
26.5%
3 47
21.9%
5 24
11.2%
2 21
 
9.8%
6 20
 
9.3%
1 19
 
8.8%
7 12
 
5.6%
0 6
 
2.8%
8 4
 
1.9%
9 3
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 213
99.1%
Dash Punctuation 2
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 57
26.8%
3 47
22.1%
5 24
11.3%
2 21
 
9.9%
6 20
 
9.4%
1 19
 
8.9%
7 12
 
5.6%
0 6
 
2.8%
8 4
 
1.9%
9 3
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 215
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 57
26.5%
3 47
21.9%
5 24
11.2%
2 21
 
9.8%
6 20
 
9.3%
1 19
 
8.8%
7 12
 
5.6%
0 6
 
2.8%
8 4
 
1.9%
9 3
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 215
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 57
26.5%
3 47
21.9%
5 24
11.2%
2 21
 
9.8%
6 20
 
9.3%
1 19
 
8.8%
7 12
 
5.6%
0 6
 
2.8%
8 4
 
1.9%
9 3
 
1.4%

운행구간
Text

Distinct61
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T12:46:27.681825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length107
Median length60
Mean length52.394366
Min length14

Characters and Unicode

Total characters3720
Distinct characters181
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

Unique51 ?
Unique (%)71.8%

Sample

1st row한라수목원-탐라도서관-노형오거리-한라병원-제원아파트-제주도청-보건소-제주시청-화북-삼양-함덕
2nd row한라수목원-탐라도서관-노형오거리-한라병원-제원아파트-제주도청-보건소-광양-동문로터리-화북-삼화지구-함덕
3rd row수산-하귀-외도-월광로-백록초-원노형-매종글래드-제주도청-제주공항-터미널-광양사거리-동문로터리-국제부두
4th row번대-하귀-외도-오광로-백록초-원노형-매종글래드-제주도청(신제주R)-제주공항-용담사거리-동문로터리-화북-삼양
5th row수산-하귀-외도-도평-광평-한라대-롯데마트-연북로-구산마을-탐라중-한마음병원-거로사거리-삼화지구
ValueCountFrequency (%)
도평-외도-이호-도두-용담-중앙여중-터미널-제주도청(신제주r)-남녕고-월랑초-도두-이호-외도-도평 2
 
2.8%
제주터미널-한국병원-동광양-인화초교-천수동-제주교육대학교-오현중고교-화북초교-화북남문-제주동중-화북주공입구-거로마을-황사평-영평하동-영평상동-신성여중고-제주여중고-중앙여고-법원-시청-제주터미널 2
 
2.8%
터미널-미래컨벤션-용담-사대부중-라마다프라다호텔-탑동-동문로터리-사라봉오거리-동여중-시청-이도주공아파트-제주지방종합청사-터미널 2
 
2.8%
한라도서관-터미널-중앙여중-여상-인화동입구-시청-중앙여고-제주여고-오등동-중앙중-연미-한라도서관 2
 
2.8%
한라도서관-정실-신제주초교-한라중-탐라도서관-한라중-연미마을-터미널-보건소-한라도서관 2
 
2.8%
도두-제주오일장-서중-삼무공원-도청-사대부고-용담레포츠공원-어영마을-도두 2
 
2.8%
도두-이호-외도-도평-한라대-신제주초-연동주민센터-신성마을-오일장-도두 2
 
2.8%
별빛누리공원-연북로-중앙여중-중앙로사거리-시민회관-제주여고-별빛누리공원 2
 
2.8%
국제부두-탑동광장-중앙로사거리-제주시청-아라초-아이파크-신성여중고-영평-용강-봉개-삼화지구-화북-국립박물관-동문로터리-국제부두 2
 
2.8%
제주대-영평-황사평-거로마을-화북주공아파트입구/삼화지구-화북초(진남1로)-국립박물관-동문로터리-중앙로-인화초-서해아파트-경제통상진흥원-영지학교-제주여고-아이파크-신성여고-영평-제주대 2
 
2.8%
Other values (51) 51
71.8%
2023-12-12T12:46:28.114796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 700
 
18.8%
제 147
 
4.0%
주 133
 
3.6%
중 89
 
2.4%
라 89
 
2.4%
도 81
 
2.2%
대 69
 
1.9%
한 68
 
1.8%
동 66
 
1.8%
로 64
 
1.7%
Other values (171) 2214
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2946
79.2%
Dash Punctuation 700
 
18.8%
Open Punctuation 22
 
0.6%
Close Punctuation 22
 
0.6%
Other Punctuation 11
 
0.3%
Decimal Number 11
 
0.3%
Uppercase Letter 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 147
 
5.0%
주 133
 
4.5%
중 89
 
3.0%
라 89
 
3.0%
도 81
 
2.7%
대 69
 
2.3%
한 68
 
2.3%
동 66
 
2.2%
로 64
 
2.2%
리 61
 
2.1%
Other values (157) 2079
70.6%
Decimal Number
ValueCountFrequency (%)
3 3
27.3%
2 2
18.2%
6 2
18.2%
1 2
18.2%
4 2
18.2%
Other Punctuation
ValueCountFrequency (%)
※ 4
36.4%
/ 4
36.4%
. 2
18.2%
* 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
R 6
75.0%
S 2
 
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 700
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2946
79.2%
Common 766
 
20.6%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 147
 
5.0%
주 133
 
4.5%
중 89
 
3.0%
라 89
 
3.0%
도 81
 
2.7%
대 69
 
2.3%
한 68
 
2.3%
동 66
 
2.2%
로 64
 
2.2%
리 61
 
2.1%
Other values (157) 2079
70.6%
Common
ValueCountFrequency (%)
- 700
91.4%
( 22
 
2.9%
) 22
 
2.9%
※ 4
 
0.5%
/ 4
 
0.5%
3 3
 
0.4%
2 2
 
0.3%
6 2
 
0.3%
. 2
 
0.3%
1 2
 
0.3%
Other values (2) 3
 
0.4%
Latin
ValueCountFrequency (%)
R 6
75.0%
S 2
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2946
79.2%
ASCII 770
 
20.7%
Punctuation 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 700
90.9%
( 22
 
2.9%
) 22
 
2.9%
R 6
 
0.8%
/ 4
 
0.5%
3 3
 
0.4%
2 2
 
0.3%
6 2
 
0.3%
. 2
 
0.3%
S 2
 
0.3%
Other values (3) 5
 
0.6%
Hangul
ValueCountFrequency (%)
제 147
 
5.0%
주 133
 
4.5%
중 89
 
3.0%
라 89
 
3.0%
도 81
 
2.7%
대 69
 
2.3%
한 68
 
2.3%
동 66
 
2.2%
로 64
 
2.2%
리 61
 
2.1%
Other values (157) 2079
70.6%
Punctuation
ValueCountFrequency (%)
※ 4
100.0%

거리(km)
Real number (ℝ)

Distinct58
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.659296
Minimum5.8
Maximum35.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-12T12:46:28.256782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile14.055
Q118.095
median23.08
Q326.65
95-th percentile33.44
Maximum35.7
Range29.9
Interquartile range (IQR)8.555

Descriptive statistics

Standard deviation6.1738664
Coefficient of variation (CV)0.27246506
Kurtosis-0.2039894
Mean22.659296
Median Absolute Deviation (MAD)4.59
Skewness0.035196982
Sum1608.81
Variance38.116627
MonotonicityNot monotonic
2023-12-12T12:46:28.424814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.6 3
 
4.2%
28.14 2
 
2.8%
22.07 2
 
2.8%
15.6 2
 
2.8%
24.6 2
 
2.8%
33.53 2
 
2.8%
23.08 2
 
2.8%
23.5 2
 
2.8%
27.2 2
 
2.8%
16.44 2
 
2.8%
Other values (48) 50
70.4%
ValueCountFrequency (%)
5.8 1
1.4%
10.81 1
1.4%
13.7 1
1.4%
14.01 1
1.4%
14.1 1
1.4%
15.06 1
1.4%
15.3 1
1.4%
15.6 2
2.8%
16.0 1
1.4%
16.4 1
1.4%
ValueCountFrequency (%)
35.7 1
1.4%
33.93 1
1.4%
33.53 2
2.8%
33.35 2
2.8%
32.11 1
1.4%
32.1 1
1.4%
31.2 1
1.4%
30.3 1
1.4%
29.2 1
1.4%
28.7 1
1.4%

1일운행횟수
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.802817
Minimum1
Maximum183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-12T12:46:28.632674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.5
Q114
median26
Q348
95-th percentile72
Maximum183
Range182
Interquartile range (IQR)34

Descriptive statistics

Standard deviation31.415019
Coefficient of variation (CV)0.92936098
Kurtosis10.039561
Mean33.802817
Median Absolute Deviation (MAD)13
Skewness2.694845
Sum2400
Variance986.90342
MonotonicityNot monotonic
2023-12-12T12:46:28.824846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
48 4
 
5.6%
18 4
 
5.6%
14 4
 
5.6%
21 3
 
4.2%
13 3
 
4.2%
1 3
 
4.2%
62 3
 
4.2%
27 3
 
4.2%
12 3
 
4.2%
28 3
 
4.2%
Other values (30) 38
53.5%
ValueCountFrequency (%)
1 3
4.2%
2 1
 
1.4%
9 2
2.8%
10 2
2.8%
11 2
2.8%
12 3
4.2%
13 3
4.2%
14 4
5.6%
15 2
2.8%
16 1
 
1.4%
ValueCountFrequency (%)
183 1
 
1.4%
166 1
 
1.4%
79 1
 
1.4%
76 1
 
1.4%
68 1
 
1.4%
65 1
 
1.4%
64 1
 
1.4%
62 3
4.2%
59 1
 
1.4%
58 1
 
1.4%

배차간격(분) (평일)
Text

Distinct41
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T12:46:29.130656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.9014085
Min length1

Characters and Unicode

Total characters348
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)31.0%

Sample

1st row20~45
2nd row25~50
3rd row30~45
4th row35~55
5th row8~42
ValueCountFrequency (%)
0 5
 
7.0%
14~108 4
 
5.6%
30~90 4
 
5.6%
19~142 4
 
5.6%
40~90 3
 
4.2%
40~60 3
 
4.2%
20~75 2
 
2.8%
85-130 2
 
2.8%
80~95 2
 
2.8%
35~90 2
 
2.8%
Other values (31) 40
56.3%
2023-12-12T12:46:29.638575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 80
23.0%
~ 59
17.0%
5 49
14.1%
1 35
10.1%
4 27
 
7.8%
2 24
 
6.9%
3 20
 
5.7%
9 19
 
5.5%
8 10
 
2.9%
7 10
 
2.9%
Other values (2) 15
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 283
81.3%
Math Symbol 59
 
17.0%
Dash Punctuation 6
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 80
28.3%
5 49
17.3%
1 35
12.4%
4 27
 
9.5%
2 24
 
8.5%
3 20
 
7.1%
9 19
 
6.7%
8 10
 
3.5%
7 10
 
3.5%
6 9
 
3.2%
Math Symbol
ValueCountFrequency (%)
~ 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 80
23.0%
~ 59
17.0%
5 49
14.1%
1 35
10.1%
4 27
 
7.8%
2 24
 
6.9%
3 20
 
5.7%
9 19
 
5.5%
8 10
 
2.9%
7 10
 
2.9%
Other values (2) 15
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 80
23.0%
~ 59
17.0%
5 49
14.1%
1 35
10.1%
4 27
 
7.8%
2 24
 
6.9%
3 20
 
5.7%
9 19
 
5.5%
8 10
 
2.9%
7 10
 
2.9%
Other values (2) 15
 
4.3%

운행대수 (평일)
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8028169
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-12T12:46:29.848103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q310
95-th percentile18
Maximum21
Range20
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.5436443
Coefficient of variation (CV)0.81490423
Kurtosis-0.2956254
Mean6.8028169
Median Absolute Deviation (MAD)3
Skewness0.93333239
Sum483
Variance30.731992
MonotonicityNot monotonic
2023-12-12T12:46:30.157902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2 13
18.3%
4 10
14.1%
1 8
11.3%
8 5
 
7.0%
3 5
 
7.0%
10 4
 
5.6%
16 4
 
5.6%
6 4
 
5.6%
18 4
 
5.6%
7 3
 
4.2%
Other values (7) 11
15.5%
ValueCountFrequency (%)
1 8
11.3%
2 13
18.3%
3 5
 
7.0%
4 10
14.1%
5 2
 
2.8%
6 4
 
5.6%
7 3
 
4.2%
8 5
 
7.0%
9 1
 
1.4%
10 4
 
5.6%
ValueCountFrequency (%)
21 1
 
1.4%
18 4
5.6%
17 1
 
1.4%
16 4
5.6%
15 2
 
2.8%
12 2
 
2.8%
11 2
 
2.8%
10 4
5.6%
9 1
 
1.4%
8 5
7.0%

운행업체
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size700.0 B
삼영교통
21 
삼화여객
16 
동진여객
16 
극동여객
10 
금남여객
6 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row삼화여객
2nd row삼화여객
3rd row제주여객
4th row제주여객
5th row삼영교통

Common Values

ValueCountFrequency (%)
삼영교통 21
29.6%
삼화여객 16
22.5%
동진여객 16
22.5%
극동여객 10
14.1%
금남여객 6
 
8.5%
제주여객 2
 
2.8%

Length

2023-12-12T12:46:30.337833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:46:30.486662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
삼영교통 21
29.6%
삼화여객 16
22.5%
동진여객 16
22.5%
극동여객 10
14.1%
금남여객 6
 
8.5%
제주여객 2
 
2.8%

비고
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
없음
45 
휴일감차
19 
1일1회 운영 (등하교 시)
 
4
순환
 
2
1일11회 운영
 
1

Length

Max length15
Median length2
Mean length3.3521127
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row휴일감차
2nd row휴일감차
3rd row없음
4th row없음
5th row휴일감차

Common Values

ValueCountFrequency (%)
없음 45
63.4%
휴일감차 19
26.8%
1일1회 운영 (등하교 시) 4
 
5.6%
순환 2
 
2.8%
1일11회 운영 1
 
1.4%

Length

2023-12-12T12:46:30.680025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:46:30.884836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 45
53.6%
휴일감차 19
22.6%
운영 5
 
6.0%
1일1회 4
 
4.8%
등하교 4
 
4.8%
시 4
 
4.8%
순환 2
 
2.4%
1일11회 1
 
1.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
2022-12-31
71 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 71
100.0%

Length

2023-12-12T12:46:31.074989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:46:31.230068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 71
100.0%

Interactions

2023-12-12T12:46:25.727391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:46:24.597919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:46:24.974595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:46:25.853162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:46:24.728085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:46:25.111305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:46:25.978156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:46:24.837218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:46:25.231751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:46:31.332648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분노선명운행구간거리(km)1일운행횟수배차간격(분) (평일)운행대수 (평일)운행업체비고
구분1.0001.0001.0000.3510.5100.9800.5710.9010.519
노선명1.0001.0001.0001.0001.0001.0001.0001.0001.000
운행구간1.0001.0001.0001.0001.0000.9971.0001.0001.000
거리(km)0.3511.0001.0001.0000.0000.9600.5930.5270.514
1일운행횟수0.5101.0001.0000.0001.0000.9690.8370.6210.420
배차간격(분) (평일)0.9801.0000.9970.9600.9691.0000.9900.9670.875
운행대수 (평일)0.5711.0001.0000.5930.8370.9901.0000.6970.572
운행업체0.9011.0001.0000.5270.6210.9670.6971.0000.512
비고0.5191.0001.0000.5140.4200.8750.5720.5121.000
2023-12-12T12:46:31.483298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분운행업체비고
구분1.0000.6990.615
운행업체0.6991.0000.374
비고0.6150.3741.000
2023-12-12T12:46:31.602284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
거리(km)1일운행횟수운행대수 (평일)구분운행업체비고
거리(km)1.0000.0600.2980.2500.2990.225
1일운행횟수0.0601.0000.6740.3560.2640.297
운행대수 (평일)0.2980.6741.0000.5490.4710.347
구분0.2500.3560.5491.0000.6990.615
운행업체0.2990.2640.4710.6991.0000.374
비고0.2250.2970.3470.6150.3741.000

Missing values

2023-12-12T12:46:26.149336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:46:26.320631image/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

구분노선명운행구간거리(km)1일운행횟수배차간격(분) (평일)운행대수 (평일)운행업체비고데이터기준일자
0간선311한라수목원-탐라도서관-노형오거리-한라병원-제원아파트-제주도청-보건소-제주시청-화북-삼양-함덕26.16420~459삼화여객휴일감차2022-12-31
1간선312한라수목원-탐라도서관-노형오거리-한라병원-제원아파트-제주도청-보건소-광양-동문로터리-화북-삼화지구-함덕29.25525~508삼화여객휴일감차2022-12-31
2간선315수산-하귀-외도-월광로-백록초-원노형-매종글래드-제주도청-제주공항-터미널-광양사거리-동문로터리-국제부두27.64830~457제주여객없음2022-12-31
3간선316번대-하귀-외도-오광로-백록초-원노형-매종글래드-제주도청(신제주R)-제주공항-용담사거리-동문로터리-화북-삼양28.74835~557제주여객없음2022-12-31
4간선320수산-하귀-외도-도평-광평-한라대-롯데마트-연북로-구산마을-탐라중-한마음병원-거로사거리-삼화지구28.2768~4211삼영교통휴일감차2022-12-31
5간선325한라수목원-탐라도서관-한라중-오일장-신제주로터리-제주공항-용담-동문로터리-국립박물관-화북-삼양초등학교-함덕30.34820~7510극동여객없음2022-12-31
6간선326한라수목원-탐라도서관-한라중-오일장-신제주로터리-제주공항-용담-동문로터리-국립박물관-화북-삼화지구-함덕31.21920~7510극동여객없음2022-12-31
7간선331한라수목원-한라대-오일장-신성마을-공항-터미널-제주시청-동광초-거로사거리-국립박물관-화북-삼양21.64825-5012금남여객없음2022-12-31
8간선332한라수목원-한라중-연동대림-제원아파트-제주도청(신제주R)-공항-터미널-광양-중앙로사거리-여상-국립박물관-화북-삼양19.45025-5012금남여객없음2022-12-31
9간선335관광대-백록초-한라병원-제원아파트-제주도청-터미널-동광양-인제-화북-삼양-봉개23.56220-4015삼영교통휴일감차2022-12-31
구분노선명운행구간거리(km)1일운행횟수배차간격(분) (평일)운행대수 (평일)운행업체비고데이터기준일자
61지선461해안-제주아트리움-노형오거리-한라병원-신제주로터리-터미널-보성시장-중앙로사거리-미래컨벤션센터-해안23.681450~1202삼화여객없음2022-12-31
62지선462해안-제주아트리움-노형성당-백록초-오일장-제성마을-터미널-중앙여중-사대부고-용담어린이집-월성마을-해안24.291445~1102삼화여객없음2022-12-31
63지선465신비마을-한라수목원-노형오거리-매종글래드-제주도청-제주공항입구-용담-동문시장입구-6부두-이화아파트-인화동-문예회관-터미널-월성마을-공항입구-신비마을32.12135~654삼화여객없음2022-12-31
64지선466신비마을-한라수목원-노형오거리-매종글래드-제주도청-제주공항입구-월성마을-터미널-문예회관-인화동-이화아파트-6부두-동문시장입구-용담-공항입구-신비마을33.932140~604삼화여객없음2022-12-31
65지선471국제대-첨단과학단지-영평-신성여중고-아이파크-오등동-정실오거리-수협도지회-한라병원-노형초교-한라대16.862480~952동진여객없음2022-12-31
66지선472국제대-첨단과학단지-영평-신성여중고-아이파크-제주여고-제주지방합동청사-연동주민센터-수협도지회-한라병원-노형초교-한라대18.272235~1202동진여객없음2022-12-31
67지선473국제대-첨단과학단지-제주대-죽성-연강병원-정실오거리-수협도지회-한라병원-노형초교-한라대15.061101동진여객1일11회 운영2022-12-31
68지선475제주대-산천단-관음사-탐라교육원16.511445~901동진여객없음2022-12-31
69지선477제주대-연북로-도호동-제원아파트-한라병원-노형성당-백록초교-S중앙병원-백록초교-노형오거리-한라병원-도호동-연북로-제주대32.111940~603동진여객휴일감차2022-12-31
70지선490제주대-첨단과학단지-제주대5.868152삼화여객없음2022-12-31