Overview

Dataset statistics

Number of variables20
Number of observations43
Missing cells246
Missing cells (%)28.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory165.1 B

Variable types

Unsupported14
Text3
Categorical3

Dataset

Description경상북도 영양군 버스 운행시간표 정보에 대한 데이터로 (영양공용버스터미널, 입암정류소, 석보정류소, 수비정류소 등)
Author경상북도 영양군
URLhttps://www.data.go.kr/data/15054388/fileData.do

Alerts

Unnamed: 9 is highly overall correlated with Unnamed: 12 and 1 other fieldsHigh correlation
Unnamed: 12 is highly overall correlated with Unnamed: 9 and 1 other fieldsHigh correlation
Unnamed: 19 is highly overall correlated with Unnamed: 9 and 1 other fieldsHigh correlation
영양공용버스터미널 has 5 (11.6%) missing valuesMissing
Unnamed: 1 has 8 (18.6%) missing valuesMissing
Unnamed: 2 has 8 (18.6%) missing valuesMissing
Unnamed: 3 has 2 (4.7%) missing valuesMissing
Unnamed: 4 has 7 (16.3%) missing valuesMissing
Unnamed: 5 has 7 (16.3%) missing valuesMissing
Unnamed: 6 has 43 (100.0%) missing valuesMissing
입암정류소 has 2 (4.7%) missing valuesMissing
Unnamed: 8 has 13 (30.2%) missing valuesMissing
Unnamed: 10 has 7 (16.3%) missing valuesMissing
Unnamed: 11 has 27 (62.8%) missing valuesMissing
Unnamed: 13 has 43 (100.0%) missing valuesMissing
수비정류소 has 11 (25.6%) missing valuesMissing
Unnamed: 15 has 21 (48.8%) missing valuesMissing
Unnamed: 16 has 21 (48.8%) missing valuesMissing
Unnamed: 17 has 8 (18.6%) missing valuesMissing
Unnamed: 18 has 13 (30.2%) missing valuesMissing
영양공용버스터미널 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
입암정류소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수비정류소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 17 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 18 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 17:38:18.223287
Analysis finished2023-12-12 17:38:19.317773
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

영양공용버스터미널
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5
Missing (%)11.6%
Memory size476.0 B

Unnamed: 1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8
Missing (%)18.6%
Memory size476.0 B

Unnamed: 2
Text

MISSING 

Distinct30
Distinct (%)85.7%
Missing8
Missing (%)18.6%
Memory size476.0 B
2023-12-13T02:38:19.474868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length13.057143
Min length2

Characters and Unicode

Total characters457
Distinct characters55
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)77.1%

Sample

1st row수비,신암,수하,공수하
2nd row계리,용화
3rd row수비,오기,본신,신원1
4th row계리,수비
5th row수비,신원1,본신
ValueCountFrequency (%)
가곡,산운,정족,청기,입암 3
 
7.5%
용화 3
 
7.5%
계리,용화 2
 
5.0%
당리,사리,토구,정족,가곡 1
 
2.5%
섬촌(안마을),오리,오리(안골 1
 
2.5%
도계2,오리,오리(안골 1
 
2.5%
당리,토구,토곡(흙티),가곡 1
 
2.5%
당리(자시목),행화,재산 1
 
2.5%
청기(터널),장평(회차),청기(터널 1
 
2.5%
도곡2,당리,행화,재산 1
 
2.5%
Other values (25) 25
62.5%
2023-12-13T02:38:19.909559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 90
19.7%
) 24
 
5.3%
( 24
 
5.3%
리 21
 
4.6%
기 17
 
3.7%
수 16
 
3.5%
곡 15
 
3.3%
청 13
 
2.8%
화 11
 
2.4%
오 10
 
2.2%
Other values (45) 216
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
67.4%
Other Punctuation 90
 
19.7%
Close Punctuation 24
 
5.3%
Open Punctuation 24
 
5.3%
Decimal Number 6
 
1.3%
Space Separator 5
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 21
 
6.8%
기 17
 
5.5%
수 16
 
5.2%
곡 15
 
4.9%
청 13
 
4.2%
화 11
 
3.6%
오 10
 
3.2%
비 10
 
3.2%
정 9
 
2.9%
족 9
 
2.9%
Other values (39) 177
57.5%
Decimal Number
ValueCountFrequency (%)
2 4
66.7%
1 2
33.3%
Other Punctuation
ValueCountFrequency (%)
, 90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 308
67.4%
Common 149
32.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 21
 
6.8%
기 17
 
5.5%
수 16
 
5.2%
곡 15
 
4.9%
청 13
 
4.2%
화 11
 
3.6%
오 10
 
3.2%
비 10
 
3.2%
정 9
 
2.9%
족 9
 
2.9%
Other values (39) 177
57.5%
Common
ValueCountFrequency (%)
, 90
60.4%
) 24
 
16.1%
( 24
 
16.1%
5
 
3.4%
2 4
 
2.7%
1 2
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
67.4%
ASCII 149
32.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 90
60.4%
) 24
 
16.1%
( 24
 
16.1%
5
 
3.4%
2 4
 
2.7%
1 2
 
1.3%
Hangul
ValueCountFrequency (%)
리 21
 
6.8%
기 17
 
5.5%
수 16
 
5.2%
곡 15
 
4.9%
청 13
 
4.2%
화 11
 
3.6%
오 10
 
3.2%
비 10
 
3.2%
정 9
 
2.9%
족 9
 
2.9%
Other values (39) 177
57.5%

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)4.7%
Memory size476.0 B

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7
Missing (%)16.3%
Memory size476.0 B

Unnamed: 5
Text

MISSING 

Distinct27
Distinct (%)75.0%
Missing7
Missing (%)16.3%
Memory size476.0 B
2023-12-13T02:38:20.127595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length9.2222222
Min length5

Characters and Unicode

Total characters332
Distinct characters65
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)58.3%

Sample

1st row소계,요원,삼의,화매,진보
2nd row소계,홍계,답곡
3rd row소계, 석보
4th row소계,석보,홍계,답곡
5th row소계, 석보
ValueCountFrequency (%)
영해(시외 4
 
9.5%
입암 3
 
7.1%
진보 3
 
7.1%
입암,진보 3
 
7.1%
지무실,양구 2
 
4.8%
삼지,상원,곡강 2
 
4.8%
소계 2
 
4.8%
석보 2
 
4.8%
송하,기산,죽파 1
 
2.4%
지무실,무창,금지(회차 1
 
2.4%
Other values (19) 19
45.2%
2023-12-13T02:38:20.503585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 68
20.5%
보 17
 
5.1%
입 15
 
4.5%
암 15
 
4.5%
진 14
 
4.2%
( 11
 
3.3%
) 11
 
3.3%
계 9
 
2.7%
구 8
 
2.4%
삼 8
 
2.4%
Other values (55) 156
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 236
71.1%
Other Punctuation 68
 
20.5%
Open Punctuation 11
 
3.3%
Close Punctuation 11
 
3.3%
Space Separator 6
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 17
 
7.2%
입 15
 
6.4%
암 15
 
6.4%
진 14
 
5.9%
계 9
 
3.8%
구 8
 
3.4%
삼 8
 
3.4%
지 7
 
3.0%
곡 7
 
3.0%
소 6
 
2.5%
Other values (51) 130
55.1%
Other Punctuation
ValueCountFrequency (%)
, 68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 236
71.1%
Common 96
28.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 17
 
7.2%
입 15
 
6.4%
암 15
 
6.4%
진 14
 
5.9%
계 9
 
3.8%
구 8
 
3.4%
삼 8
 
3.4%
지 7
 
3.0%
곡 7
 
3.0%
소 6
 
2.5%
Other values (51) 130
55.1%
Common
ValueCountFrequency (%)
, 68
70.8%
( 11
 
11.5%
) 11
 
11.5%
6
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 236
71.1%
ASCII 96
28.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 68
70.8%
( 11
 
11.5%
) 11
 
11.5%
6
 
6.2%
Hangul
ValueCountFrequency (%)
보 17
 
7.2%
입 15
 
6.4%
암 15
 
6.4%
진 14
 
5.9%
계 9
 
3.8%
구 8
 
3.4%
삼 8
 
3.4%
지 7
 
3.0%
곡 7
 
3.0%
소 6
 
2.5%
Other values (51) 130
55.1%

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

입암정류소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2
Missing (%)4.7%
Memory size476.0 B

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing13
Missing (%)30.2%
Memory size476.0 B

Unnamed: 9
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Memory size476.0 B
영양
14 
<NA>
13 
양항,영양
2 
화매
2 
화매,삼의,요원
2 
Other values (10)
10 

Length

Max length14
Median length12
Mean length4.3953488
Min length2

Unique

Unique10 ?
Unique (%)23.3%

Sample

1st row<NA>
2nd row영양
3rd row영양
4th row영양
5th row영양

Common Values

ValueCountFrequency (%)
영양 14
32.6%
<NA> 13
30.2%
양항,영양 2
 
4.7%
화매 2
 
4.7%
화매,삼의,요원 2
 
4.7%
죽골,구매 1
 
2.3%
청기,산운,가곡 1
 
2.3%
구매,죽골 1
 
2.3%
청기,토구,사리,행화,당리 1
 
2.3%
구매,죽골,청기(터널) 1
 
2.3%
Other values (5) 5
 
11.6%

Length

2023-12-13T02:38:20.653113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
영양 14
32.6%
na 13
30.2%
양항,영양 2
 
4.7%
화매 2
 
4.7%
화매,삼의,요원 2
 
4.7%
죽골,구매 1
 
2.3%
청기,산운,가곡 1
 
2.3%
구매,죽골 1
 
2.3%
청기,토구,사리,행화,당리 1
 
2.3%
구매,죽골,청기(터널 1
 
2.3%
Other values (5) 5
 
11.6%

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7
Missing (%)16.3%
Memory size476.0 B

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)62.8%
Memory size476.0 B

Unnamed: 12
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
27 
진보
9 
흥구,진보
 
2
삼산,병옥,진보
 
2
산해,서치,봉감
 
1
Other values (2)
 
2

Length

Max length8
Median length4
Mean length3.9534884
Min length2

Unique

Unique3 ?
Unique (%)7.0%

Sample

1st row<NA>
2nd row진보
3rd row진보
4th row흥구,진보
5th row진보

Common Values

ValueCountFrequency (%)
<NA> 27
62.8%
진보 9
 
20.9%
흥구,진보 2
 
4.7%
삼산,병옥,진보 2
 
4.7%
산해,서치,봉감 1
 
2.3%
봉감,서치,산해 1
 
2.3%
산해 1
 
2.3%

Length

2023-12-13T02:38:20.812354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:38:20.959707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
62.8%
진보 9
 
20.9%
흥구,진보 2
 
4.7%
삼산,병옥,진보 2
 
4.7%
산해,서치,봉감 1
 
2.3%
봉감,서치,산해 1
 
2.3%
산해 1
 
2.3%

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

수비정류소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing11
Missing (%)25.6%
Memory size476.0 B

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)48.8%
Memory size476.0 B

Unnamed: 16
Text

MISSING 

Distinct18
Distinct (%)81.8%
Missing21
Missing (%)48.8%
Memory size476.0 B
2023-12-13T02:38:21.156863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length7.7272727
Min length2

Characters and Unicode

Total characters170
Distinct characters45
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)63.6%

Sample

1st row신암,오무,공수하
2nd row신암,오무
3rd row공수하
4th row공수하,오무,신암
5th row오기,본신,신원1
ValueCountFrequency (%)
화매,삼의,요원 4
16.7%
오기,본신,신원1 2
 
8.3%
화매 2
 
8.3%
환승 2
 
8.3%
신암,오무,공수하 1
 
4.2%
입암,양항,산해,서치,영양 1
 
4.2%
입암,금학,삼막골,산해 1
 
4.2%
입암,금학,삼막골 1
 
4.2%
화매,삼의(회차 1
 
4.2%
신원,본신 1
 
4.2%
Other values (8) 8
33.3%
2023-12-13T02:38:21.536652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 32
18.8%
신 12
 
7.1%
원 9
 
5.3%
화 8
 
4.7%
오 7
 
4.1%
암 7
 
4.1%
삼 7
 
4.1%
매 7
 
4.1%
의 5
 
2.9%
기 4
 
2.4%
Other values (35) 72
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125
73.5%
Other Punctuation 32
 
18.8%
Open Punctuation 4
 
2.4%
Close Punctuation 4
 
2.4%
Decimal Number 3
 
1.8%
Space Separator 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
신 12
 
9.6%
원 9
 
7.2%
화 8
 
6.4%
오 7
 
5.6%
암 7
 
5.6%
삼 7
 
5.6%
매 7
 
5.6%
의 5
 
4.0%
기 4
 
3.2%
입 4
 
3.2%
Other values (30) 55
44.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Decimal Number
ValueCountFrequency (%)
1 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125
73.5%
Common 45
 
26.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
신 12
 
9.6%
원 9
 
7.2%
화 8
 
6.4%
오 7
 
5.6%
암 7
 
5.6%
삼 7
 
5.6%
매 7
 
5.6%
의 5
 
4.0%
기 4
 
3.2%
입 4
 
3.2%
Other values (30) 55
44.0%
Common
ValueCountFrequency (%)
, 32
71.1%
( 4
 
8.9%
) 4
 
8.9%
1 3
 
6.7%
2
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125
73.5%
ASCII 45
 
26.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 32
71.1%
( 4
 
8.9%
) 4
 
8.9%
1 3
 
6.7%
2
 
4.4%
Hangul
ValueCountFrequency (%)
신 12
 
9.6%
원 9
 
7.2%
화 8
 
6.4%
오 7
 
5.6%
암 7
 
5.6%
삼 7
 
5.6%
매 7
 
5.6%
의 5
 
4.0%
기 4
 
3.2%
입 4
 
3.2%
Other values (30) 55
44.0%

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8
Missing (%)18.6%
Memory size476.0 B

Unnamed: 18
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing13
Missing (%)30.2%
Memory size476.0 B

Unnamed: 19
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
13 
영양
9 
입암,영양
7 
계리,영양
2 
흥구,입암,구매,죽골,입암,영양
2 
Other values (10)
10 

Length

Max length17
Median length15
Mean length6.255814
Min length2

Unique

Unique10 ?
Unique (%)23.3%

Sample

1st row<NA>
2nd row계리,영양
3rd row<NA>
4th row영양
5th row영양

Common Values

ValueCountFrequency (%)
<NA> 13
30.2%
영양 9
20.9%
입암,영양 7
16.3%
계리,영양 2
 
4.7%
흥구,입암,구매,죽골,입암,영양 2
 
4.7%
입암,청기,사리,행화,당리 1
 
2.3%
입암,양항,산해,영양 1
 
2.3%
병옥,삼산,입암,영양 1
 
2.3%
삼산,입암,양항,영양 1
 
2.3%
방전 안마을, 지경(구수곡) 1
 
2.3%
Other values (5) 5
 
11.6%

Length

2023-12-13T02:38:22.061812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 13
27.7%
영양 10
21.3%
입암,영양 7
14.9%
계리,영양 2
 
4.3%
흥구,입암,구매,죽골,입암,영양 2
 
4.3%
지경(구수곡 1
 
2.1%
흥구 1
 
2.1%
화매,삼의,요원,영양 1
 
2.1%
입암,금학,삼막골,산해,영양 1
 
2.1%
입암,청기,사리,당리,영양 1
 
2.1%
Other values (8) 8
17.0%

Correlations

2023-12-13T02:38:22.153421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 2Unnamed: 5Unnamed: 9Unnamed: 12Unnamed: 16Unnamed: 19
Unnamed: 21.0000.9410.0001.0000.8670.000
Unnamed: 50.9411.0000.7630.9430.8670.000
Unnamed: 90.0000.7631.0000.7930.6970.947
Unnamed: 121.0000.9430.7931.0000.9730.791
Unnamed: 160.8670.8670.6970.9731.0000.000
Unnamed: 190.0000.0000.9470.7910.0001.000
2023-12-13T02:38:22.311030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 12Unnamed: 9Unnamed: 19
Unnamed: 121.0000.7080.694
Unnamed: 90.7081.0000.793
Unnamed: 190.6940.7931.000
2023-12-13T02:38:22.432292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 9Unnamed: 12Unnamed: 19
Unnamed: 91.0000.7080.793
Unnamed: 120.7081.0000.694
Unnamed: 190.7930.6941.000

Missing values

2023-12-13T02:38:18.644013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:38:18.874366image/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.
2023-12-13T02:38:19.080797image/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

영양공용버스터미널Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6입암정류소Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13수비정류소Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19
0수비(계리,오기,본신,신암)방면NaN<NA>석보(요원,홍계,답곡,삼의)방면NaN<NA><NA>영양(선바위,감천) 방면NaN<NA>진보(삼산,노달,병옥,방전) 방면NaN<NA><NA>수하,신암 방면NaN<NA>계리 방면NaN<NA>
1105:50:00수비,신암,수하,공수하106:05:00소계,요원,삼의,화매,진보<NA>17:40영양107:00:00진보<NA>106:15:00신암,오무,공수하117:50:00계리,영양
2206:20:00계리,용화206:05:00소계,홍계,답곡<NA>28:00영양207:40:00진보<NA>212:25:00신암,오무영양 방면NaN<NA>
3307:20:00수비,오기,본신,신원1309:20:00소계, 석보<NA>38:40영양308:20:00흥구,진보<NA>315:00:00공수하107:25:00영양
4408:45:00계리,수비411:00:00소계,석보,홍계,답곡<NA>49:50영양409:10:00진보<NA>417:55:00공수하,오무,신암208:30:00영양
5510:30:00수비,신원1,본신514:30:00소계, 석보<NA>510:05영양509:50:00진보<NA>오기 방면NaN<NA>309:30:00영양
6612:00:00수비,신암,수하617:50:00소계,홍계,답곡,진보<NA>611:20영양610:25:00삼산,병옥,진보<NA>107:40:00오기,본신,신원1411:25:00영양
7713:00:00계리,수비,오기(도화곡),오기진보(입암,산해,청기,구매)방면NaN<NA><NA>712:05영양711:05:00진보<NA>213:40:00도화곡,오기513:40:00영양
8814:30:00섬촌(안마을),수비,공수하16:05입암,죽골,구매,금학,삼막골,진보<NA>812:50양항,영양812:50:00진보<NA>316:50:00오기614:10:00영양
9916:15:00계리,수비,오기,신원,본신26:45입암,진보<NA>914:40영양914:30:00진보<NA>본신 방면NaN<NA>715:25:00영양
영양공용버스터미널Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6입암정류소Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13수비정류소Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19
33310:00:00용화송하(죽파,기산)방면NaN<NA><NA>18:55:00NaN<NA>NaNNaN<NA><NA>NaNNaN<NA>1316:50:00입암,영양
34413:30:00섬촌(안마을),오리,오리(안골)16:30송하,판사,죽파,섬촌(안마을)<NA>화매,삼의,요원 방면NaN<NA>진보 방면NaN<NA><NA>NaNNaN<NA>1416:55:00입암,금학,삼막골,산해,영양
35514:00:00용화211:00송하,기산,죽파<NA>106:25:00요원,삼의,화매07:20:00NaN<NA><NA>NaNNaN<NA>1518:00:00화매,삼의,요원,영양
36618:10:00용화317:30송하,죽파,기산<NA>209:20:00화매09:45:00NaN<NA><NA>NaNNaN<NA>1619:15:00입암,영양
37718:15:00도계2,섬촌(안마을),오리(안골),오리상원 방면NaN<NA><NA>309:40:00신평(경북재활원)10:20 (지경 구수곡,방전 안마을)NaN<NA><NA>NaNNaN<NA>1721:00:00흥구, 입암, 영양
38NaNNaN<NA>17:50곡강,상원,삼지<NA>411:25:00화매,삼의,요원12:20:00NaN<NA><NA>NaNNaN<NA>NaNNaN<NA>
39NaNNaN<NA>213:20삼지,상원,곡강<NA>512:25:00화매,삼의13:15:00NaN<NA><NA>NaNNaN<NA>NaNNaN<NA>
40NaNNaN<NA>318:35삼지,상원,곡강<NA>615:00:00경북재활원,화매,요원16:00:00NaN<NA><NA>문의 : 교통행정담당 054-680-6741 / ㈜영양동행버스 : 054-683-9559NaN<NA>NaNNaN<NA>
41NaNNaN<NA>NaNNaN<NA><NA>715:50:00화매16:20:00NaN<NA><NA>NaNNaN<NA>NaNNaN<NA>
42NaNNaN<NA>NaNNaN<NA><NA>818:15:00화매,삼의,요원18:55:00NaN<NA><NA>NaNNaN<NA>NaNNaN<NA>