Overview

Dataset statistics

Number of variables6
Number of observations95
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory49.4 B

Variable types

DateTime1
Text5

Dataset

Description2022년도 경상북도 자동차 지정정비사업자(민간자동차검사소)의 지정년도, 업체명, 주소, 전화번호.팩스번호 현황입니다. 자동차 검사시 해당 업체를 확인하면 됩니다
Author경상북도
URLhttps://www.data.go.kr/data/15048045/fileData.do

Alerts

팩스 has 1 (1.1%) missing valuesMissing
전화 has unique valuesUnique

Reproduction

Analysis started2024-04-19 05:43:57.942048
Analysis finished2024-04-19 05:43:58.905536
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정일자
Date

Distinct89
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size892.0 B
Minimum1997-07-04 00:00:00
Maximum2023-03-21 00:00:00
2024-04-19T14:43:59.302406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:43:59.436475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업체명
Text

Distinct94
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-04-19T14:43:59.653604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length8.4421053
Min length3

Characters and Unicode

Total characters802
Distinct characters113
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)97.9%

Sample

1st row유성종합자동차정비공장
2nd row르노삼성자동차지정정비센터대명정비
3rd row현대자동차청도서비스
4th row뉴카닥터정비공업사
5th row현대종합정비공장
ValueCountFrequency (%)
현대종합정비공장 2
 
2.1%
대아종합정비(외동점 1
 
1.0%
대광종합자동차정비공장 1
 
1.0%
성산천일1급종합정비 1
 
1.0%
경북자동차검사정비공장 1
 
1.0%
서안동현대서비스 1
 
1.0%
군위1급정비공장 1
 
1.0%
㈜성주종합정비 1
 
1.0%
서안동자동차종합정비 1
 
1.0%
의성자동차정비공장 1
 
1.0%
Other values (85) 85
88.5%
2024-04-19T14:43:59.985847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 89
 
11.1%
정 82
 
10.2%
동 57
 
7.1%
공 53
 
6.6%
차 46
 
5.7%
자 46
 
5.7%
장 46
 
5.7%
합 38
 
4.7%
종 37
 
4.6%
대 18
 
2.2%
Other values (103) 290
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 785
97.9%
Decimal Number 6
 
0.7%
Other Symbol 6
 
0.7%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 89
 
11.3%
정 82
 
10.4%
동 57
 
7.3%
공 53
 
6.8%
차 46
 
5.9%
자 46
 
5.9%
장 46
 
5.9%
합 38
 
4.8%
종 37
 
4.7%
대 18
 
2.3%
Other values (98) 273
34.8%
Decimal Number
ValueCountFrequency (%)
1 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 791
98.6%
Common 11
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 89
 
11.3%
정 82
 
10.4%
동 57
 
7.2%
공 53
 
6.7%
차 46
 
5.8%
자 46
 
5.8%
장 46
 
5.8%
합 38
 
4.8%
종 37
 
4.7%
대 18
 
2.3%
Other values (99) 279
35.3%
Common
ValueCountFrequency (%)
1 6
54.5%
) 2
 
18.2%
( 2
 
18.2%
1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 785
97.9%
ASCII 11
 
1.4%
None 6
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 89
 
11.3%
정 82
 
10.4%
동 57
 
7.3%
공 53
 
6.8%
차 46
 
5.9%
자 46
 
5.9%
장 46
 
5.9%
합 38
 
4.8%
종 37
 
4.7%
대 18
 
2.3%
Other values (98) 273
34.8%
ASCII
ValueCountFrequency (%)
1 6
54.5%
) 2
 
18.2%
( 2
 
18.2%
1
 
9.1%
None
ValueCountFrequency (%)
㈜ 6
100.0%

사업장주소
Text

Distinct94
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-04-19T14:44:00.330106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length20.347368
Min length15

Characters and Unicode

Total characters1933
Distinct characters134
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)97.9%

Sample

1st row경상북도 고령군 고령읍 장기리 249
2nd row경상북도 영주시 휴천1동 1891
3rd row경상북도 청도군 화양읍 동천리 136-5
4th row경상북도 군위군 군위읍 무성리 4-1
5th row경상북도 안동시 수상동 820-69
ValueCountFrequency (%)
경상북도 96
 
21.4%
김천시 11
 
2.4%
안동시 10
 
2.2%
문경시 7
 
1.6%
상주시 7
 
1.6%
영주시 7
 
1.6%
울진군 6
 
1.3%
의성군 6
 
1.3%
청송군 6
 
1.3%
예천군 5
 
1.1%
Other values (224) 288
64.1%
2024-04-19T14:44:00.812232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
355
18.4%
상 109
 
5.6%
경 104
 
5.4%
도 102
 
5.3%
북 98
 
5.1%
1 77
 
4.0%
군 58
 
3.0%
- 53
 
2.7%
리 51
 
2.6%
2 50
 
2.6%
Other values (124) 876
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1168
60.4%
Space Separator 355
 
18.4%
Decimal Number 349
 
18.1%
Dash Punctuation 53
 
2.7%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 109
 
9.3%
경 104
 
8.9%
도 102
 
8.7%
북 98
 
8.4%
군 58
 
5.0%
리 51
 
4.4%
동 47
 
4.0%
시 46
 
3.9%
읍 44
 
3.8%
천 26
 
2.2%
Other values (109) 483
41.4%
Decimal Number
ValueCountFrequency (%)
1 77
22.1%
2 50
14.3%
9 38
10.9%
6 34
9.7%
7 33
9.5%
3 30
 
8.6%
0 23
 
6.6%
4 22
 
6.3%
5 21
 
6.0%
8 21
 
6.0%
Space Separator
ValueCountFrequency (%)
355
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1168
60.4%
Common 765
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 109
 
9.3%
경 104
 
8.9%
도 102
 
8.7%
북 98
 
8.4%
군 58
 
5.0%
리 51
 
4.4%
동 47
 
4.0%
시 46
 
3.9%
읍 44
 
3.8%
천 26
 
2.2%
Other values (109) 483
41.4%
Common
ValueCountFrequency (%)
355
46.4%
1 77
 
10.1%
- 53
 
6.9%
2 50
 
6.5%
9 38
 
5.0%
6 34
 
4.4%
7 33
 
4.3%
3 30
 
3.9%
0 23
 
3.0%
4 22
 
2.9%
Other values (5) 50
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1168
60.4%
ASCII 765
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
355
46.4%
1 77
 
10.1%
- 53
 
6.9%
2 50
 
6.5%
9 38
 
5.0%
6 34
 
4.4%
7 33
 
4.3%
3 30
 
3.9%
0 23
 
3.0%
4 22
 
2.9%
Other values (5) 50
 
6.5%
Hangul
ValueCountFrequency (%)
상 109
 
9.3%
경 104
 
8.9%
도 102
 
8.7%
북 98
 
8.4%
군 58
 
5.0%
리 51
 
4.4%
동 47
 
4.0%
시 46
 
3.9%
읍 44
 
3.8%
천 26
 
2.2%
Other values (109) 483
41.4%

사업장주소(도로명)
Text

Distinct94
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-04-19T14:44:01.088156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length25
Mean length19.852632
Min length15

Characters and Unicode

Total characters1886
Distinct characters123
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

Unique93 ?
Unique (%)97.9%

Sample

1st row경상북도 고령군 대가야읍 장기공단1길 32
2nd row경상북도 영주시 구성로 88번길 10-3
3rd row경상북도 청도군 화양읍 청려로 1798
4th row경상북도 군위군 군위읍 경북대로 3140
5th row경상북도 안동시 공단로 42
ValueCountFrequency (%)
경상북도 96
 
21.3%
김천시 11
 
2.4%
안동시 10
 
2.2%
문경시 7
 
1.6%
영주시 7
 
1.6%
상주시 7
 
1.6%
청송군 6
 
1.3%
울진군 6
 
1.3%
의성군 6
 
1.3%
예천읍 5
 
1.1%
Other values (214) 290
64.3%
2024-04-19T14:44:01.510031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
356
18.9%
경 111
 
5.9%
상 107
 
5.7%
북 106
 
5.6%
도 101
 
5.4%
로 67
 
3.6%
군 58
 
3.1%
1 56
 
3.0%
시 46
 
2.4%
2 42
 
2.2%
Other values (113) 836
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1205
63.9%
Space Separator 356
 
18.9%
Decimal Number 305
 
16.2%
Dash Punctuation 14
 
0.7%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 111
 
9.2%
상 107
 
8.9%
북 106
 
8.8%
도 101
 
8.4%
로 67
 
5.6%
군 58
 
4.8%
시 46
 
3.8%
읍 42
 
3.5%
길 33
 
2.7%
영 27
 
2.2%
Other values (99) 507
42.1%
Decimal Number
ValueCountFrequency (%)
1 56
18.4%
2 42
13.8%
3 37
12.1%
9 29
9.5%
8 26
8.5%
7 25
8.2%
6 23
7.5%
5 23
7.5%
0 22
 
7.2%
4 22
 
7.2%
Space Separator
ValueCountFrequency (%)
356
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1205
63.9%
Common 681
36.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 111
 
9.2%
상 107
 
8.9%
북 106
 
8.8%
도 101
 
8.4%
로 67
 
5.6%
군 58
 
4.8%
시 46
 
3.8%
읍 42
 
3.5%
길 33
 
2.7%
영 27
 
2.2%
Other values (99) 507
42.1%
Common
ValueCountFrequency (%)
356
52.3%
1 56
 
8.2%
2 42
 
6.2%
3 37
 
5.4%
9 29
 
4.3%
8 26
 
3.8%
7 25
 
3.7%
6 23
 
3.4%
5 23
 
3.4%
0 22
 
3.2%
Other values (4) 42
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1205
63.9%
ASCII 681
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
356
52.3%
1 56
 
8.2%
2 42
 
6.2%
3 37
 
5.4%
9 29
 
4.3%
8 26
 
3.8%
7 25
 
3.7%
6 23
 
3.4%
5 23
 
3.4%
0 22
 
3.2%
Other values (4) 42
 
6.2%
Hangul
ValueCountFrequency (%)
경 111
 
9.2%
상 107
 
8.9%
북 106
 
8.8%
도 101
 
8.4%
로 67
 
5.6%
군 58
 
4.8%
시 46
 
3.8%
읍 42
 
3.5%
길 33
 
2.7%
영 27
 
2.2%
Other values (99) 507
42.1%

전화
Text

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-04-19T14:44:01.740747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length12
Mean length13.8
Min length12

Characters and Unicode

Total characters1311
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)100.0%

Sample

1st row054-954-1667, 8955, 5047
2nd row054-635-5588, 5589
3rd row054-373-8400
4th row054-383-8338
5th row054-858-5555, 5933
ValueCountFrequency (%)
054-954-1667 1
 
0.9%
9904 1
 
0.9%
054-383-5100 1
 
0.9%
054-933-2440 1
 
0.9%
054-853-7100 1
 
0.9%
054-834-7001~5 1
 
0.9%
054-858-8833 1
 
0.9%
054-373-3502~3 1
 
0.9%
054-655-4474 1
 
0.9%
833-1119 1
 
0.9%
Other values (103) 103
91.2%
2024-04-19T14:44:02.088822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 197
15.0%
5 195
14.9%
0 185
14.1%
4 170
13.0%
3 125
9.5%
8 94
7.2%
7 72
 
5.5%
1 65
 
5.0%
6 54
 
4.1%
2 53
 
4.0%
Other values (4) 101
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1060
80.9%
Dash Punctuation 197
 
15.0%
Space Separator 19
 
1.4%
Other Punctuation 18
 
1.4%
Math Symbol 17
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 195
18.4%
0 185
17.5%
4 170
16.0%
3 125
11.8%
8 94
8.9%
7 72
 
6.8%
1 65
 
6.1%
6 54
 
5.1%
2 53
 
5.0%
9 47
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 197
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1311
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 197
15.0%
5 195
14.9%
0 185
14.1%
4 170
13.0%
3 125
9.5%
8 94
7.2%
7 72
 
5.5%
1 65
 
5.0%
6 54
 
4.1%
2 53
 
4.0%
Other values (4) 101
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1311
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 197
15.0%
5 195
14.9%
0 185
14.1%
4 170
13.0%
3 125
9.5%
8 94
7.2%
7 72
 
5.5%
1 65
 
5.0%
6 54
 
4.1%
2 53
 
4.0%
Other values (4) 101
7.7%

팩스
Text

MISSING 

Distinct94
Distinct (%)100.0%
Missing1
Missing (%)1.1%
Memory size892.0 B
2024-04-19T14:44:02.335728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1128
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

Unique94 ?
Unique (%)100.0%

Sample

1st row054-954-1632
2nd row054-631-1772
3rd row054-373-8405
4th row054-383-8339
5th row054-858-1301
ValueCountFrequency (%)
054-954-1632 1
 
1.1%
054-832-9756 1
 
1.1%
054-954-4200 1
 
1.1%
054-631-2153 1
 
1.1%
054-859-3432 1
 
1.1%
054-933-5661 1
 
1.1%
054-858-3046 1
 
1.1%
054-834-7005 1
 
1.1%
054-858-8834 1
 
1.1%
054-373-6553 1
 
1.1%
Other values (84) 84
89.4%
2024-04-19T14:44:02.682997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 188
16.7%
5 176
15.6%
4 159
14.1%
0 144
12.8%
3 102
9.0%
8 78
6.9%
7 73
 
6.5%
1 55
 
4.9%
2 55
 
4.9%
6 54
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 940
83.3%
Dash Punctuation 188
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 176
18.7%
4 159
16.9%
0 144
15.3%
3 102
10.9%
8 78
8.3%
7 73
7.8%
1 55
 
5.9%
2 55
 
5.9%
6 54
 
5.7%
9 44
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 188
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1128
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 188
16.7%
5 176
15.6%
4 159
14.1%
0 144
12.8%
3 102
9.0%
8 78
6.9%
7 73
 
6.5%
1 55
 
4.9%
2 55
 
4.9%
6 54
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1128
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 188
16.7%
5 176
15.6%
4 159
14.1%
0 144
12.8%
3 102
9.0%
8 78
6.9%
7 73
 
6.5%
1 55
 
4.9%
2 55
 
4.9%
6 54
 
4.8%

Correlations

2024-04-19T14:44:02.781975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정일자업체명사업장주소사업장주소(도로명)전화팩스
지정일자1.0000.9960.9960.9961.0001.000
업체명0.9961.0000.9990.9991.0001.000
사업장주소0.9960.9991.0001.0001.0001.000
사업장주소(도로명)0.9960.9991.0001.0001.0001.000
전화1.0001.0001.0001.0001.0001.000
팩스1.0001.0001.0001.0001.0001.000

Missing values

2024-04-19T14:43:58.768307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T14:43:58.864682image/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

지정일자업체명사업장주소사업장주소(도로명)전화팩스
01997-07-04유성종합자동차정비공장경상북도 고령군 고령읍 장기리 249경상북도 고령군 대가야읍 장기공단1길 32054-954-1667, 8955, 5047054-954-1632
11997-10-17르노삼성자동차지정정비센터대명정비경상북도 영주시 휴천1동 1891경상북도 영주시 구성로 88번길 10-3054-635-5588, 5589054-631-1772
21997-10-25현대자동차청도서비스경상북도 청도군 화양읍 동천리 136-5경상북도 청도군 화양읍 청려로 1798054-373-8400054-373-8405
31997-11-25뉴카닥터정비공업사경상북도 군위군 군위읍 무성리 4-1경상북도 군위군 군위읍 경북대로 3140054-383-8338054-383-8339
41997-12-22현대종합정비공장경상북도 안동시 수상동 820-69경상북도 안동시 공단로 42054-858-5555, 5933054-858-1301
51998-07-02상주제일자동차정비공장경상북도 상주시 합창읍 윤직리 703-1경상북도 상주시 함창읍 함창로 503054-541-6130~1054-541-8867
62002-02-18봉화자동차정비공장경상북도 봉화군 봉화읍 해저리 589-1 외 2필지경상북도 봉화군 봉화읍 봉화로 993054-673-5479, 0079, 0080054-673-0080
71999-04-15울진자동차정비경상북도 울진군 울진읍 고성리 220경상북도 울진군 울진읍 울진북로 659054-782-4000054-782-2328
81999-05-14성광자동차정비공장경상북도 안동시 용상동 1084-4경상북도 안동시 경동로 958054-821-2800, 3800054-821-2770
91999-06-24영덕정비주식회사경상북도 영덕군 영덕읍 화수리 677경상북도 영덕군 영덕읍 영덕로 293054-732-7171054-734-2237
지정일자업체명사업장주소사업장주소(도로명)전화팩스
852019-08-20서김천현대서비스경상북도 김천시 속구미길 65(신음동)경상북도 김천시 속구미길 65(신음동)054-433-1154054-436-3151
862019-08-22금현자동차정비공장경상북도 청송군 청송읍 중앙로 364경상북도 청송군 청송읍 중앙로 364054-873-7777054-873-4972
872020-04-14서진자동차검사정비경상북도 고령군 다산면 평리1길 46경상북도 고령군 다산면 평리1길 46054-955-6982054-956-6983
882020-11-26울릉현대상용서비스경상북도 울릉군 울릉읍 사동2길 139(사동리 339-1)경상북도 울릉군 울릉읍 사동2길 139(사동리 339-1)054-791-1113054-791-0091
892020-12-31영강자동차검사정비경상북도 문경시 윤직동2길 3경상북도 경북 문경시 윤직동2길 3054-553-7233054-554-7233
902021-06-02대신자동차종합정비경상북도 경상북도 상주시 식산로 195경상북도 경상북도 상주시 식산로 195054-534-3333054-535-9808
912021-06-17우성카정비공장경상북도 영주시 풍기읍 신재로 842번길 9-7경상북도 영주시 풍기읍 신재로 842번길 9-7054-636-7766054-638-7766
922022-06-20청일자동차정비경상북도 청송군 부남면 대전로 167경상북도 청송군 부남면 대전로 167054-873-4645054-872-8504
932022-10-17영해그린정비경상북도 청송군 부남면 대전로 167경상북도 청송군 부남면 대전로 167054-734-1993~4054-734-1995
942023-03-21상주기아종합정비경상북도 영덕군 영해면 성내리 801경상북도 영덕군 영해면 영덕로 1759054-533-8233054-535-0731