Overview

Dataset statistics

Number of variables11
Number of observations144
Missing cells15
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.6 KiB
Average record size in memory89.9 B

Variable types

Categorical5
Numeric1
DateTime2
Text3

Dataset

Description충청북도 단양군_시내버스 시간표 데이터로 방면, 노선 번호, 기점지, 출발시간, 경유지(기점), 회차지, 경유지(종점),도착시간,도착지, 데이터 기준일자 등의 항목을 포함함.
Author충청북도 단양군
URLhttps://www.data.go.kr/data/3072400/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
노선번호 is highly overall correlated with 방면 and 1 other fieldsHigh correlation
방면 is highly overall correlated with 노선번호 and 1 other fieldsHigh correlation
기점지 is highly overall correlated with 회차지High correlation
회차지 is highly overall correlated with 노선번호 and 3 other fieldsHigh correlation
종점지 is highly overall correlated with 회차지High correlation
회차시간 has 6 (4.2%) missing valuesMissing
경유지(종점) has 9 (6.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 11:03:09.469601
Analysis finished2023-12-12 11:03:11.360831
Duration1.89 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

방면
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
단양가곡
27 
단양대강
26 
단양평동
21 
단양적성하원곡
16 
단양단성
15 
Other values (4)
39 

Length

Max length8
Median length4
Mean length4.6944444
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단양가곡 27
18.8%
단양대강 26
18.1%
단양평동 21
14.6%
단양적성하원곡 16
11.1%
단양단성 15
10.4%
단양제천 13
9.0%
단양다리안 12
8.3%
단양마조애곡후곡 10
 
6.9%
단양의풍 4
 
2.8%

Length

2023-12-12T20:03:11.499945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:03:11.752139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단양가곡 27
18.8%
단양대강 26
18.1%
단양평동 21
14.6%
단양적성하원곡 16
11.1%
단양단성 15
10.4%
단양제천 13
9.0%
단양다리안 12
8.3%
단양마조애곡후곡 10
 
6.9%
단양의풍 4
 
2.8%

노선번호
Real number (ℝ)

HIGH CORRELATION 

Distinct95
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean486.29861
Minimum101
Maximum931
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T20:03:11.996826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile101
Q1302.5
median517.5
Q3631.25
95-th percentile911
Maximum931
Range830
Interquartile range (IQR)328.75

Descriptive statistics

Standard deviation247.01666
Coefficient of variation (CV)0.50795264
Kurtosis-0.97769457
Mean486.29861
Median Absolute Deviation (MAD)200
Skewness-0.019392549
Sum70027
Variance61017.232
MonotonicityNot monotonic
2023-12-12T20:03:12.203947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 11
 
7.6%
304 9
 
6.2%
604 4
 
2.8%
911 4
 
2.8%
622 4
 
2.8%
411 3
 
2.1%
111 3
 
2.1%
805 3
 
2.1%
203 3
 
2.1%
214 3
 
2.1%
Other values (85) 97
67.4%
ValueCountFrequency (%)
101 11
7.6%
102 2
 
1.4%
105 1
 
0.7%
106 1
 
0.7%
107 1
 
0.7%
108 1
 
0.7%
111 3
 
2.1%
201 1
 
0.7%
202 1
 
0.7%
203 3
 
2.1%
ValueCountFrequency (%)
931 2
1.4%
922 2
1.4%
921 1
 
0.7%
912 1
 
0.7%
911 4
2.8%
818 1
 
0.7%
817 1
 
0.7%
816 1
 
0.7%
815 1
 
0.7%
814 1
 
0.7%

기점지
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
다누리센터앞
64 
단양공동물류센터
38 
상진1리
23 
어의곡리
7 
서울병원
7 
Other values (4)
 
5

Length

Max length9
Median length8
Mean length5.9305556
Min length2

Unique

Unique3 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
다누리센터앞 64
44.4%
단양공동물류센터 38
26.4%
상진1리 23
 
16.0%
어의곡리 7
 
4.9%
서울병원 7
 
4.9%
영춘 2
 
1.4%
평동 1
 
0.7%
단양역 1
 
0.7%
매포시외버스터미널 1
 
0.7%

Length

2023-12-12T20:03:12.404963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:03:12.582047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다누리센터앞 64
44.4%
단양공동물류센터 38
26.4%
상진1리 23
 
16.0%
어의곡리 7
 
4.9%
서울병원 7
 
4.9%
영춘 2
 
1.4%
평동 1
 
0.7%
단양역 1
 
0.7%
매포시외버스터미널 1
 
0.7%

기점출발
Date

Distinct107
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2023-12-12 06:00:00
Maximum2023-12-12 21:25:00
2023-12-12T20:03:12.771005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:03:12.966779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

경유지(기점)
Text

Distinct63
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T20:03:13.233374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length17
Mean length10.465278
Min length2

Characters and Unicode

Total characters1507
Distinct characters109
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)25.7%

Sample

1st row1대대부대,매포
2nd row1대대부대,매포
3rd row1대대부대,매포
4th row1대대부대,매포
5th row1대대부대,매포
ValueCountFrequency (%)
1대대부대,매포 17
 
11.8%
다누리센터,천동리 9
 
6.2%
사평리,늪실,향산리,온달관광지 8
 
5.6%
1대대부대 7
 
4.9%
하방,외중방리 6
 
4.2%
상진리,도전리,다누리센터앞,노동본동,장현리 4
 
2.8%
도담삼봉 4
 
2.8%
사평리,안터,송정 4
 
2.8%
단양역,북하,장림,당동 4
 
2.8%
단양역,장림,죽령역 4
 
2.8%
Other values (52) 77
53.5%
2023-12-12T20:03:13.693130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 272
 
18.0%
리 120
 
8.0%
대 99
 
6.6%
하 48
 
3.2%
방 39
 
2.6%
단 36
 
2.4%
동 35
 
2.3%
평 31
 
2.1%
역 29
 
1.9%
사 28
 
1.9%
Other values (99) 770
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1206
80.0%
Other Punctuation 272
 
18.0%
Decimal Number 29
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 120
 
10.0%
대 99
 
8.2%
하 48
 
4.0%
방 39
 
3.2%
단 36
 
3.0%
동 35
 
2.9%
평 31
 
2.6%
역 29
 
2.4%
사 28
 
2.3%
천 26
 
2.2%
Other values (96) 715
59.3%
Decimal Number
ValueCountFrequency (%)
1 28
96.6%
2 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 272
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1206
80.0%
Common 301
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 120
 
10.0%
대 99
 
8.2%
하 48
 
4.0%
방 39
 
3.2%
단 36
 
3.0%
동 35
 
2.9%
평 31
 
2.6%
역 29
 
2.4%
사 28
 
2.3%
천 26
 
2.2%
Other values (96) 715
59.3%
Common
ValueCountFrequency (%)
, 272
90.4%
1 28
 
9.3%
2 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1206
80.0%
ASCII 301
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 272
90.4%
1 28
 
9.3%
2 1
 
0.3%
Hangul
ValueCountFrequency (%)
리 120
 
10.0%
대 99
 
8.2%
하 48
 
4.0%
방 39
 
3.2%
단 36
 
3.0%
동 35
 
2.9%
평 31
 
2.6%
역 29
 
2.4%
사 28
 
2.3%
천 26
 
2.2%
Other values (96) 715
59.3%

회차지
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
제천역
20 
다리안관광지
12 
말목등산로
 
8
구인사
 
8
평동
 
7
Other values (27)
89 

Length

Max length7
Median length6
Mean length3.7777778
Min length2

Unique

Unique6 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
제천역 20
 
13.9%
다리안관광지 12
 
8.3%
말목등산로 8
 
5.6%
구인사 8
 
5.6%
평동 7
 
4.9%
새밭계곡 7
 
4.9%
방곡마을 6
 
4.2%
소백산국립공원 6
 
4.2%
양당리 6
 
4.2%
<NA> 6
 
4.2%
Other values (22) 58
40.3%

Length

2023-12-12T20:03:13.913390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제천역 20
 
13.9%
다리안관광지 12
 
8.3%
말목등산로 8
 
5.6%
구인사 8
 
5.6%
평동 7
 
4.9%
새밭계곡 7
 
4.9%
방곡마을 6
 
4.2%
소백산국립공원 6
 
4.2%
na 6
 
4.2%
단양온천 6
 
4.2%
Other values (22) 58
40.3%

회차시간
Text

MISSING 

Distinct96
Distinct (%)69.6%
Missing6
Missing (%)4.2%
Memory size1.3 KiB
2023-12-12T20:03:14.327585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.9855072
Min length6

Characters and Unicode

Total characters1102
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)47.1%

Sample

1st row09:10:00
2nd row10:00:00
3rd row11:25:00
4th row12:00:00
5th row12:40:00
ValueCountFrequency (%)
08:30:00 4
 
2.9%
07:20:00 4
 
2.9%
18:00:00 3
 
2.2%
10:45:00 3
 
2.2%
19:35:00 3
 
2.2%
18:20:00 3
 
2.2%
14:30:00 3
 
2.2%
16:30:00 3
 
2.2%
14:50:00 3
 
2.2%
16:00:00 2
 
1.4%
Other values (86) 107
77.5%
2023-12-12T20:03:15.037086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 439
39.8%
: 274
24.9%
1 124
 
11.3%
5 84
 
7.6%
2 33
 
3.0%
4 33
 
3.0%
3 30
 
2.7%
7 24
 
2.2%
9 22
 
2.0%
8 21
 
1.9%
Other values (7) 18
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 822
74.6%
Other Punctuation 274
 
24.9%
Other Letter 6
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 439
53.4%
1 124
 
15.1%
5 84
 
10.2%
2 33
 
4.0%
4 33
 
4.0%
3 30
 
3.6%
7 24
 
2.9%
9 22
 
2.7%
8 21
 
2.6%
6 12
 
1.5%
Other Letter
ValueCountFrequency (%)
다 1
16.7%
누 1
16.7%
리 1
16.7%
센 1
16.7%
터 1
16.7%
앞 1
16.7%
Other Punctuation
ValueCountFrequency (%)
: 274
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1096
99.5%
Hangul 6
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 439
40.1%
: 274
25.0%
1 124
 
11.3%
5 84
 
7.7%
2 33
 
3.0%
4 33
 
3.0%
3 30
 
2.7%
7 24
 
2.2%
9 22
 
2.0%
8 21
 
1.9%
Hangul
ValueCountFrequency (%)
다 1
16.7%
누 1
16.7%
리 1
16.7%
센 1
16.7%
터 1
16.7%
앞 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1096
99.5%
Hangul 6
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 439
40.1%
: 274
25.0%
1 124
 
11.3%
5 84
 
7.7%
2 33
 
3.0%
4 33
 
3.0%
3 30
 
2.7%
7 24
 
2.2%
9 22
 
2.0%
8 21
 
1.9%
Hangul
ValueCountFrequency (%)
다 1
16.7%
누 1
16.7%
리 1
16.7%
센 1
16.7%
터 1
16.7%
앞 1
16.7%

경유지(종점)
Text

MISSING 

Distinct65
Distinct (%)48.1%
Missing9
Missing (%)6.2%
Memory size1.3 KiB
2023-12-12T20:03:15.352892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length10.096296
Min length3

Characters and Unicode

Total characters1363
Distinct characters111
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)26.7%

Sample

1st row매포,도담삼봉
2nd row매포,도담삼봉
3rd row매포,도담삼봉
4th row매포,도담삼봉
5th row매포,도담삼봉
ValueCountFrequency (%)
매포,도담삼봉 12
 
8.9%
천동리,고수동굴 9
 
6.7%
매포,1대대부대 5
 
3.7%
온달관광지,향산리,늪실,사평리 5
 
3.7%
죽령역,장림,단양역 5
 
3.7%
다누리센터앞,대명콘도 4
 
3.0%
구미,외중방리 4
 
3.0%
대대1리,아평사거리사평리 4
 
3.0%
도담삼봉 4
 
3.0%
보발리,사평리,아평사거리 3
 
2.2%
Other values (55) 80
59.3%
2023-12-12T20:03:16.339220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 228
 
16.7%
리 107
 
7.9%
대 65
 
4.8%
평 38
 
2.8%
역 36
 
2.6%
동 36
 
2.6%
사 34
 
2.5%
도 33
 
2.4%
하 32
 
2.3%
단 32
 
2.3%
Other values (101) 722
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1118
82.0%
Other Punctuation 228
 
16.7%
Decimal Number 17
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 107
 
9.6%
대 65
 
5.8%
평 38
 
3.4%
역 36
 
3.2%
동 36
 
3.2%
사 34
 
3.0%
도 33
 
3.0%
하 32
 
2.9%
단 32
 
2.9%
삼 31
 
2.8%
Other values (98) 674
60.3%
Decimal Number
ValueCountFrequency (%)
1 16
94.1%
2 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 228
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1118
82.0%
Common 245
 
18.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 107
 
9.6%
대 65
 
5.8%
평 38
 
3.4%
역 36
 
3.2%
동 36
 
3.2%
사 34
 
3.0%
도 33
 
3.0%
하 32
 
2.9%
단 32
 
2.9%
삼 31
 
2.8%
Other values (98) 674
60.3%
Common
ValueCountFrequency (%)
, 228
93.1%
1 16
 
6.5%
2 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1118
82.0%
ASCII 245
 
18.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 228
93.1%
1 16
 
6.5%
2 1
 
0.4%
Hangul
ValueCountFrequency (%)
리 107
 
9.6%
대 65
 
5.8%
평 38
 
3.4%
역 36
 
3.2%
동 36
 
3.2%
사 34
 
3.0%
도 33
 
3.0%
하 32
 
2.9%
단 32
 
2.9%
삼 31
 
2.8%
Other values (98) 674
60.3%

종점지
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
단양공동물류센터
59 
다누리센터앞
46 
다누리센터
16 
상진1리
6 
상진1리(구군부대앞)
 
5
Other values (4)
12 

Length

Max length11
Median length8
Mean length6.5486111
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단양공동물류센터 59
41.0%
다누리센터앞 46
31.9%
다누리센터 16
 
11.1%
상진1리 6
 
4.2%
상진1리(구군부대앞) 5
 
3.5%
<NA> 3
 
2.1%
서울병원 3
 
2.1%
영춘 3
 
2.1%
평동 3
 
2.1%

Length

2023-12-12T20:03:16.581072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:03:16.823330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단양공동물류센터 59
41.0%
다누리센터앞 46
31.9%
다누리센터 16
 
11.1%
상진1리 6
 
4.2%
상진1리(구군부대앞 5
 
3.5%
na 3
 
2.1%
서울병원 3
 
2.1%
영춘 3
 
2.1%
평동 3
 
2.1%

종점도착
Date

Distinct102
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2023-12-12 07:05:00
Maximum2023-12-12 22:15:00
2023-12-12T20:03:17.047822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:03:17.292214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2022-09-30
144 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-30
2nd row2022-09-30
3rd row2022-09-30
4th row2022-09-30
5th row2022-09-30

Common Values

ValueCountFrequency (%)
2022-09-30 144
100.0%

Length

2023-12-12T20:03:17.475747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:03:17.612749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-30 144
100.0%

Interactions

2023-12-12T20:03:10.621648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:03:17.695988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
방면노선번호기점지경유지(기점)회차지회차시간경유지(종점)종점지
방면1.0000.9880.8610.9990.9900.0000.9970.752
노선번호0.9881.0000.7400.9990.9970.0001.0000.752
기점지0.8610.7401.0000.9710.9060.7570.9080.655
경유지(기점)0.9990.9990.9711.0001.0000.9160.9980.963
회차지0.9900.9970.9061.0001.0000.0000.9980.890
회차시간0.0000.0000.7570.9160.0001.0000.7620.000
경유지(종점)0.9971.0000.9080.9980.9980.7621.0000.976
종점지0.7520.7520.6550.9630.8900.0000.9761.000
2023-12-12T20:03:17.855991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종점지회차지기점지방면
종점지1.0000.5510.3930.494
회차지0.5511.0000.5750.851
기점지0.3930.5751.0000.447
방면0.4940.8510.4471.000
2023-12-12T20:03:18.004794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노선번호방면기점지회차지종점지
노선번호1.0000.9580.4520.8930.484
방면0.9581.0000.4470.8510.494
기점지0.4520.4471.0000.5750.393
회차지0.8930.8510.5751.0000.551
종점지0.4840.4940.3930.5511.000

Missing values

2023-12-12T20:03:10.827524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:03:11.082023image/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.
2023-12-12T20:03:11.255696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

방면노선번호기점지기점출발경유지(기점)회차지회차시간경유지(종점)종점지종점도착데이터 기준일자
0단양제천101다누리센터앞07:50:001대대부대,매포제천역09:10:00매포,도담삼봉단양공동물류센터10:50:002022-09-30
1단양제천101다누리센터앞08:55:001대대부대,매포제천역10:00:00매포,도담삼봉단양공동물류센터11:05:002022-09-30
2단양제천101다누리센터앞10:20:001대대부대,매포제천역11:25:00매포,도담삼봉단양공동물류센터12:30:002022-09-30
3단양제천101다누리센터앞10:50:001대대부대,매포제천역12:00:00매포,도담삼봉단양공동물류센터13:10:002022-09-30
4단양제천101다누리센터앞11:40:001대대부대,매포제천역12:40:00매포,도담삼봉단양공동물류센터13:40:002022-09-30
5단양제천101다누리센터앞12:40:001대대부대,매포제천역13:55:00매포,도담삼봉단양공동물류센터15:10:002022-09-30
6단양제천101다누리센터앞13:35:001대대부대,매포제천역14:55:00매포,도담삼봉단양공동물류센터16:15:002022-09-30
7단양제천101다누리센터앞14:55:001대대부대,매포제천역16:00:00매포,도담삼봉단양공동물류센터17:05:002022-09-30
8단양제천101다누리센터앞17:25:001대대부대,매포제천역18:40:00매포,도담삼봉단양공동물류센터19:55:002022-09-30
9단양제천101다누리센터앞18:05:001대대부대,매포제천역19:20:00매포,도담삼봉단양공동물류센터20:35:002022-09-30
방면노선번호기점지기점출발경유지(기점)회차지회차시간경유지(종점)종점지종점도착데이터 기준일자
134단양마조애곡후곡911단양공동물류센터06:45:00상진리,도전리,다누리센터앞,노동본동,장현리마조리07:15:00다누리센터앞,대명콘도단양공동물류센터07:35:002022-09-30
135단양마조애곡후곡911단양공동물류센터09:25:00상진리,도전리,다누리센터앞,노동본동,장현리마조리10:00:00다누리센터앞,대명콘도단양공동물류센터10:35:002022-09-30
136단양마조애곡후곡911단양공동물류센터14:00:00상진리,도전리,다누리센터앞,노동본동,장현리마조리14:30:00다누리센터앞,대명콘도단양공동물류센터15:00:002022-09-30
137단양마조애곡후곡911단양공동물류센터17:25:00상진리,도전리,다누리센터앞,노동본동,장현리마조리18:00:00다누리센터앞,대명콘도단양공동물류센터18:35:002022-09-30
138단양마조애곡후곡912단양공동물류센터19:20:00상진리,도전리,다누리센터앞마조리19:40:00도전리,상진리단양공동물류센터20:00:002022-09-30
139단양마조애곡후곡921서울병원09:40:00도전리,상진리애곡리10:05:00상진리상진1리10:10:002022-09-30
140단양마조애곡후곡922다누리센터앞14:10:00도전리,상진리애곡리14:30:00상진리,도전리다누리센터앞14:50:002022-09-30
141단양마조애곡후곡922다누리센터앞18:00:00도전리,상진리애곡리18:20:00상진리,도전리다누리센터앞18:40:002022-09-30
142단양마조애곡후곡931다누리센터앞08:10:00단양역,덕상후곡리08:30:00덕상,단양역다누리센터앞08:50:002022-09-30
143단양마조애곡후곡931다누리센터앞12:30:00단양역,덕상후곡리12:55:00덕상,단양역다누리센터앞13:20:002022-09-30