Overview

Dataset statistics

Number of variables12
Number of observations101
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.8 KiB
Average record size in memory99.3 B

Variable types

Categorical6
Text2
DateTime2
Numeric2

Dataset

Description울산 언양임시시외버스터미널의 시외버스정보를 출발지, 도착지, 출발시간, 소요시간, 운행요금 등 항목으로 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15089181/fileData.do

Alerts

출발지 has constant value ""Constant
요금할인 has constant value ""Constant
전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
운행요금(원)-월금 is highly overall correlated with 운행요금(원)-토일 and 3 other fieldsHigh correlation
도착지 is highly overall correlated with 운행요금(원)-토일 and 3 other fieldsHigh correlation
운행요금(원)-화수목 is highly overall correlated with 운행요금(원)-토일 and 3 other fieldsHigh correlation
운행요금(원)-토일 is highly overall correlated with 소요시간(분) and 3 other fieldsHigh correlation
소요시간(분) is highly overall correlated with 운행요금(원)-토일 and 3 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 10:01:54.334907
Analysis finished2023-12-12 10:01:55.620350
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

출발지
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
언양
101 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
언양 101
100.0%

Length

2023-12-12T19:01:55.701984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:01:55.809081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
언양 101
100.0%

도착지
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size940.0 B
부산
30 
포항
19 
경주
19 
김해
14 
양산
5 
Other values (4)
14 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산 30
29.7%
포항 19
18.8%
경주 19
18.8%
김해 14
13.9%
양산 5
 
5.0%
창원 5
 
5.0%
동곡 3
 
3.0%
경산 3
 
3.0%
산내 3
 
3.0%

Length

2023-12-12T19:01:55.932846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:01:56.086327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산 30
29.7%
포항 19
18.8%
경주 19
18.8%
김해 14
13.9%
양산 5
 
5.0%
창원 5
 
5.0%
동곡 3
 
3.0%
경산 3
 
3.0%
산내 3
 
3.0%

출발시간(화수목)
Text

Distinct52
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-12T19:01:56.332442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.2079208
Min length5

Characters and Unicode

Total characters526
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

Unique29 ?
Unique (%)28.7%

Sample

1st row06:20
2nd row06:50
3rd row07:10
4th row07:40
5th row08:10
ValueCountFrequency (%)
운행정보없음 21
 
20.8%
13:40 5
 
5.0%
18:10 3
 
3.0%
08:10 3
 
3.0%
15:00 3
 
3.0%
10:10 3
 
3.0%
11:20 2
 
2.0%
17:45 2
 
2.0%
10:00 2
 
2.0%
15:45 2
 
2.0%
Other values (42) 55
54.5%
2023-12-12T19:01:56.826991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 99
18.8%
1 83
15.8%
: 80
15.2%
5 39
 
7.4%
4 27
 
5.1%
2 23
 
4.4%
행 21
 
4.0%
운 21
 
4.0%
음 21
 
4.0%
없 21
 
4.0%
Other values (7) 91
17.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
60.8%
Other Letter 126
 
24.0%
Other Punctuation 80
 
15.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 99
30.9%
1 83
25.9%
5 39
 
12.2%
4 27
 
8.4%
2 23
 
7.2%
3 16
 
5.0%
8 12
 
3.8%
7 9
 
2.8%
9 7
 
2.2%
6 5
 
1.6%
Other Letter
ValueCountFrequency (%)
행 21
16.7%
운 21
16.7%
음 21
16.7%
없 21
16.7%
보 21
16.7%
정 21
16.7%
Other Punctuation
ValueCountFrequency (%)
: 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 400
76.0%
Hangul 126
 
24.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 99
24.8%
1 83
20.8%
: 80
20.0%
5 39
 
9.8%
4 27
 
6.8%
2 23
 
5.8%
3 16
 
4.0%
8 12
 
3.0%
7 9
 
2.2%
9 7
 
1.8%
Hangul
ValueCountFrequency (%)
행 21
16.7%
운 21
16.7%
음 21
16.7%
없 21
16.7%
보 21
16.7%
정 21
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 400
76.0%
Hangul 126
 
24.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 99
24.8%
1 83
20.8%
: 80
20.0%
5 39
 
9.8%
4 27
 
6.8%
2 23
 
5.8%
3 16
 
4.0%
8 12
 
3.0%
7 9
 
2.2%
9 7
 
1.8%
Hangul
ValueCountFrequency (%)
행 21
16.7%
운 21
16.7%
음 21
16.7%
없 21
16.7%
보 21
16.7%
정 21
16.7%

운행요금(원)-화수목
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size940.0 B
4000
24 
운행정보없음
21 
9100
14 
3900
14 
5500
9 
Other values (5)
19 

Length

Max length6
Median length4
Mean length4.4455446
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4000
2nd row4000
3rd row4000
4th row4000
5th row4000

Common Values

ValueCountFrequency (%)
4000 24
23.8%
운행정보없음 21
20.8%
9100 14
13.9%
3900 14
13.9%
5500 9
 
8.9%
3000 5
 
5.0%
9900 5
 
5.0%
6200 3
 
3.0%
10200 3
 
3.0%
1700 3
 
3.0%

Length

2023-12-12T19:01:57.088335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:01:57.287027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4000 24
23.8%
운행정보없음 21
20.8%
9100 14
13.9%
3900 14
13.9%
5500 9
 
8.9%
3000 5
 
5.0%
9900 5
 
5.0%
6200 3
 
3.0%
10200 3
 
3.0%
1700 3
 
3.0%

출발시간(월금)
Text

Distinct59
Distinct (%)58.4%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-12T19:01:57.602043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.0594059
Min length5

Characters and Unicode

Total characters511
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

Unique32 ?
Unique (%)31.7%

Sample

1st row06:20
2nd row06:50
3rd row07:10
4th row07:40
5th row08:10
ValueCountFrequency (%)
운행정보없음 6
 
5.9%
13:40 5
 
5.0%
16:00 4
 
4.0%
09:10 4
 
4.0%
08:10 3
 
3.0%
10:10 3
 
3.0%
18:10 3
 
3.0%
15:00 3
 
3.0%
15:45 2
 
2.0%
17:10 2
 
2.0%
Other values (49) 66
65.3%
2023-12-12T19:01:58.050028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 116
22.7%
1 97
19.0%
: 95
18.6%
5 48
9.4%
2 31
 
6.1%
4 27
 
5.3%
3 19
 
3.7%
9 13
 
2.5%
8 12
 
2.3%
7 9
 
1.8%
Other values (7) 44
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 380
74.4%
Other Punctuation 95
 
18.6%
Other Letter 36
 
7.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 116
30.5%
1 97
25.5%
5 48
12.6%
2 31
 
8.2%
4 27
 
7.1%
3 19
 
5.0%
9 13
 
3.4%
8 12
 
3.2%
7 9
 
2.4%
6 8
 
2.1%
Other Letter
ValueCountFrequency (%)
음 6
16.7%
없 6
16.7%
행 6
16.7%
보 6
16.7%
정 6
16.7%
운 6
16.7%
Other Punctuation
ValueCountFrequency (%)
: 95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 475
93.0%
Hangul 36
 
7.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 116
24.4%
1 97
20.4%
: 95
20.0%
5 48
10.1%
2 31
 
6.5%
4 27
 
5.7%
3 19
 
4.0%
9 13
 
2.7%
8 12
 
2.5%
7 9
 
1.9%
Hangul
ValueCountFrequency (%)
음 6
16.7%
없 6
16.7%
행 6
16.7%
보 6
16.7%
정 6
16.7%
운 6
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 475
93.0%
Hangul 36
 
7.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 116
24.4%
1 97
20.4%
: 95
20.0%
5 48
10.1%
2 31
 
6.5%
4 27
 
5.7%
3 19
 
4.0%
9 13
 
2.7%
8 12
 
2.5%
7 9
 
1.9%
Hangul
ValueCountFrequency (%)
음 6
16.7%
없 6
16.7%
행 6
16.7%
보 6
16.7%
정 6
16.7%
운 6
16.7%

운행요금(원)-월금
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size940.0 B
4000
24 
9100
19 
3900
19 
5500
14 
운행정보없음
6 
Other values (5)
19 

Length

Max length6
Median length4
Mean length4.1485149
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4000
2nd row4000
3rd row4000
4th row4000
5th row4000

Common Values

ValueCountFrequency (%)
4000 24
23.8%
9100 19
18.8%
3900 19
18.8%
5500 14
13.9%
운행정보없음 6
 
5.9%
3000 5
 
5.0%
9900 5
 
5.0%
6200 3
 
3.0%
10200 3
 
3.0%
1700 3
 
3.0%

Length

2023-12-12T19:01:58.229620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:01:58.418493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4000 24
23.8%
9100 19
18.8%
3900 19
18.8%
5500 14
13.9%
운행정보없음 6
 
5.9%
3000 5
 
5.0%
9900 5
 
5.0%
6200 3
 
3.0%
10200 3
 
3.0%
1700 3
 
3.0%

출발시간(토일)
Date

Distinct61
Distinct (%)60.4%
Missing0
Missing (%)0.0%
Memory size940.0 B
Minimum2023-12-12 06:20:00
Maximum2023-12-12 22:15:00
2023-12-12T19:01:58.613236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:01:58.782825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

운행요금(원)-토일
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5572.2772
Minimum1700
Maximum10200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T19:01:58.935590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1700
5-th percentile3000
Q13900
median4000
Q39100
95-th percentile9900
Maximum10200
Range8500
Interquartile range (IQR)5200

Descriptive statistics

Standard deviation2451.4534
Coefficient of variation (CV)0.43993744
Kurtosis-0.94637931
Mean5572.2772
Median Absolute Deviation (MAD)1000
Skewness0.74285168
Sum562800
Variance6009623.8
MonotonicityNot monotonic
2023-12-12T19:01:59.064310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4000 30
29.7%
9100 19
18.8%
3900 19
18.8%
5500 14
13.9%
3000 5
 
5.0%
9900 5
 
5.0%
6200 3
 
3.0%
10200 3
 
3.0%
1700 3
 
3.0%
ValueCountFrequency (%)
1700 3
 
3.0%
3000 5
 
5.0%
3900 19
18.8%
4000 30
29.7%
5500 14
13.9%
6200 3
 
3.0%
9100 19
18.8%
9900 5
 
5.0%
10200 3
 
3.0%
ValueCountFrequency (%)
10200 3
 
3.0%
9900 5
 
5.0%
9100 19
18.8%
6200 3
 
3.0%
5500 14
13.9%
4000 30
29.7%
3900 19
18.8%
3000 5
 
5.0%
1700 3
 
3.0%

소요시간(분)
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.693069
Minimum30
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T19:01:59.185292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile30
Q140
median40
Q370
95-th percentile90
Maximum120
Range90
Interquartile range (IQR)30

Descriptive statistics

Standard deviation20.988446
Coefficient of variation (CV)0.41402989
Kurtosis1.7781165
Mean50.693069
Median Absolute Deviation (MAD)10
Skewness1.3366683
Sum5120
Variance440.51485
MonotonicityNot monotonic
2023-12-12T19:01:59.310337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
40 30
29.7%
30 24
23.8%
70 22
21.8%
50 17
16.8%
90 5
 
5.0%
120 3
 
3.0%
ValueCountFrequency (%)
30 24
23.8%
40 30
29.7%
50 17
16.8%
70 22
21.8%
90 5
 
5.0%
120 3
 
3.0%
ValueCountFrequency (%)
120 3
 
3.0%
90 5
 
5.0%
70 22
21.8%
50 17
16.8%
40 30
29.7%
30 24
23.8%

요금할인
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%
101 

Length

Max length55
Median length55
Mean length55
Min length55

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%
2nd row중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%
3rd row중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%
4th row중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%
5th row중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%

Common Values

ValueCountFrequency (%)
중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70% 101
100.0%

Length

2023-12-12T19:01:59.448945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:01:59.551713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중고생20 101
11.1%
상이유공자30 101
11.1%
초등학생50 101
11.1%
상이유공자 101
11.1%
1~5급 101
11.1%
및 101
11.1%
애국지사(보조자1명 101
11.1%
포함 101
11.1%
70 101
11.1%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
052-264-3900
101 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row052-264-3900
2nd row052-264-3900
3rd row052-264-3900
4th row052-264-3900
5th row052-264-3900

Common Values

ValueCountFrequency (%)
052-264-3900 101
100.0%

Length

2023-12-12T19:01:59.656204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:01:59.755054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
052-264-3900 101
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
Minimum2023-07-18 00:00:00
Maximum2023-07-18 00:00:00
2023-12-12T19:01:59.847428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:01:59.945474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T19:01:55.111819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:01:54.942683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:01:55.200910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:01:55.029807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:02:00.031975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도착지출발시간(화수목)운행요금(원)-화수목출발시간(월금)운행요금(원)-월금출발시간(토일)운행요금(원)-토일소요시간(분)
도착지1.0000.0000.9840.0001.0000.0001.0001.000
출발시간(화수목)0.0001.0000.7810.9970.0000.9950.0000.000
운행요금(원)-화수목0.9840.7811.0000.0000.9980.0000.9940.971
출발시간(월금)0.0000.9970.0001.0000.0000.9980.0000.000
운행요금(원)-월금1.0000.0000.9980.0001.0000.0001.0001.000
출발시간(토일)0.0000.9950.0000.9980.0001.0000.0000.000
운행요금(원)-토일1.0000.0000.9940.0001.0000.0001.0000.978
소요시간(분)1.0000.0000.9710.0001.0000.0000.9781.000
2023-12-12T19:02:00.166152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운행요금(원)-월금도착지운행요금(원)-화수목
운행요금(원)-월금1.0000.9950.911
도착지0.9951.0000.937
운행요금(원)-화수목0.9110.9371.000
2023-12-12T19:02:00.258637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운행요금(원)-토일소요시간(분)도착지운행요금(원)-화수목운행요금(원)-월금
운행요금(원)-토일1.0000.9230.9890.9300.984
소요시간(분)0.9231.0000.9840.9000.979
도착지0.9890.9841.0000.9370.995
운행요금(원)-화수목0.9300.9000.9371.0000.911
운행요금(원)-월금0.9840.9790.9950.9111.000

Missing values

2023-12-12T19:01:55.333343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:01:55.541704image/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

출발지도착지출발시간(화수목)운행요금(원)-화수목출발시간(월금)운행요금(원)-월금출발시간(토일)운행요금(원)-토일소요시간(분)요금할인전화번호데이터기준일자
0언양부산06:20400006:20400006:20400040중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18
1언양부산06:50400006:50400006:50400040중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18
2언양부산07:10400007:10400007:10400040중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18
3언양부산07:40400007:40400007:40400040중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18
4언양부산08:10400008:10400008:10400040중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18
5언양부산09:00400009:00400008:40400040중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18
6언양부산09:35400009:35400009:10400040중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18
7언양부산10:10400010:10400009:40400040중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18
8언양부산10:50400010:50400010:10400040중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18
9언양부산11:30400011:30400010:40400040중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18
출발지도착지출발시간(화수목)운행요금(원)-화수목출발시간(월금)운행요금(원)-월금출발시간(토일)운행요금(원)-토일소요시간(분)요금할인전화번호데이터기준일자
91언양김해운행정보없음운행정보없음22:15550022:15550050중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18
92언양동곡09:10620009:10620009:10620070중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18
93언양동곡13:40620013:40620013:40620070중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18
94언양동곡16:00620016:00620016:00620070중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18
95언양경산09:101020009:101020009:1010200120중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18
96언양경산13:401020013:401020013:4010200120중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18
97언양경산16:001020016:001020016:0010200120중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18
98언양산내10:40170010:40170010:40170050중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18
99언양산내14:00170014:00170014:00170050중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18
100언양산내18:10170018:10170018:10170050중고생20% 상이유공자30% 초등학생50% 상이유공자 1~5급 및 애국지사(보조자1명 포함) 70%052-264-39002023-07-18