Overview

Dataset statistics

Number of variables8
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory69.9 B

Variable types

Text5
DateTime1
Numeric1
Categorical1

Dataset

Description경기도 수원시 법인택시 업체 명칭, 면허일, 소재지, 택시대수, 전화번호, 대표자명, 팩스번호 정보를 포함합니다
Author경기도 수원시
URLhttps://www.data.go.kr/data/15051562/fileData.do

Alerts

기준일 has constant value ""Constant
업체명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique
대표자명 has unique valuesUnique
팩스번호 has unique valuesUnique

Reproduction

Analysis started2024-03-30 08:15:03.284929
Analysis finished2024-03-30 08:15:05.386189
Duration2.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-30T08:15:05.864754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.6296296
Min length5

Characters and Unicode

Total characters152
Distinct characters46
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row경진운수㈜
2nd row광일운수(합)
3rd row대경운수㈜
4th row대성운수㈜
5th row동아교통㈜
ValueCountFrequency (%)
경진운수㈜ 1
 
3.7%
원일운수㈜ 1
 
3.7%
화진운수㈜ 1
 
3.7%
홍보운수㈜ 1
 
3.7%
현대운수㈜ 1
 
3.7%
㈜하나상운 1
 
3.7%
팔달운수(합 1
 
3.7%
㈜케이원택시 1
 
3.7%
㈜케이비택시 1
 
3.7%
창훈운수㈜ 1
 
3.7%
Other values (17) 17
63.0%
2024-03-30T08:15:06.968601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 21
 
13.8%
운 19
 
12.5%
수 18
 
11.8%
시 6
 
3.9%
합 6
 
3.9%
택 6
 
3.9%
진 5
 
3.3%
) 5
 
3.3%
( 5
 
3.3%
일 4
 
2.6%
Other values (36) 57
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121
79.6%
Other Symbol 21
 
13.8%
Close Punctuation 5
 
3.3%
Open Punctuation 5
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
운 19
15.7%
수 18
 
14.9%
시 6
 
5.0%
합 6
 
5.0%
택 6
 
5.0%
진 5
 
4.1%
일 4
 
3.3%
동 4
 
3.3%
대 3
 
2.5%
성 3
 
2.5%
Other values (33) 47
38.8%
Other Symbol
ValueCountFrequency (%)
㈜ 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 142
93.4%
Common 10
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 21
14.8%
운 19
 
13.4%
수 18
 
12.7%
시 6
 
4.2%
합 6
 
4.2%
택 6
 
4.2%
진 5
 
3.5%
일 4
 
2.8%
동 4
 
2.8%
대 3
 
2.1%
Other values (34) 50
35.2%
Common
ValueCountFrequency (%)
) 5
50.0%
( 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 121
79.6%
None 21
 
13.8%
ASCII 10
 
6.6%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 21
100.0%
Hangul
ValueCountFrequency (%)
운 19
15.7%
수 18
 
14.9%
시 6
 
5.0%
합 6
 
5.0%
택 6
 
5.0%
진 5
 
4.1%
일 4
 
3.3%
동 4
 
3.3%
대 3
 
2.5%
성 3
 
2.5%
Other values (33) 47
38.8%
ASCII
ValueCountFrequency (%)
) 5
50.0%
( 5
50.0%

면허일자
Date

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum1969-08-06 00:00:00
Maximum2023-03-30 00:00:00
2024-03-30T08:15:07.568758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T08:15:08.077687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

소재지도로명주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-30T08:15:08.771514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length27.296296
Min length23

Characters and Unicode

Total characters737
Distinct characters69
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row경기도 수원시 권선구 오목천로 62(오목천동)
2nd row경기도 수원시 팔달구 팔달로 70(고등동)
3rd row경기도 수원시 장안구 장안로 427번길 4(이목동)
4th row경기도 수원시 권선구 평동로 43 (고색동)
5th row경기도 수원시 영통구 매영로 159번길 45(원천동)
ValueCountFrequency (%)
경기도 27
18.4%
수원시 27
18.4%
권선구 18
 
12.2%
장안구 4
 
2.7%
영통구 3
 
2.0%
서수원로 3
 
2.0%
매송고색로 2
 
1.4%
팔달구 2
 
1.4%
곡반정로 2
 
1.4%
평동로 2
 
1.4%
Other values (54) 57
38.8%
2024-03-30T08:15:09.971689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
16.3%
원 34
 
4.6%
수 32
 
4.3%
동 30
 
4.1%
경 27
 
3.7%
구 27
 
3.7%
기 27
 
3.7%
( 27
 
3.7%
로 27
 
3.7%
) 27
 
3.7%
Other values (59) 359
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 454
61.6%
Space Separator 120
 
16.3%
Decimal Number 102
 
13.8%
Open Punctuation 27
 
3.7%
Close Punctuation 27
 
3.7%
Dash Punctuation 5
 
0.7%
Uppercase Letter 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 34
 
7.5%
수 32
 
7.0%
동 30
 
6.6%
경 27
 
5.9%
구 27
 
5.9%
기 27
 
5.9%
로 27
 
5.9%
시 27
 
5.9%
도 27
 
5.9%
선 19
 
4.2%
Other values (43) 177
39.0%
Decimal Number
ValueCountFrequency (%)
1 16
15.7%
4 15
14.7%
2 15
14.7%
3 12
11.8%
6 9
8.8%
8 8
7.8%
7 8
7.8%
0 7
6.9%
9 6
 
5.9%
5 6
 
5.9%
Space Separator
ValueCountFrequency (%)
120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 454
61.6%
Common 282
38.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 34
 
7.5%
수 32
 
7.0%
동 30
 
6.6%
경 27
 
5.9%
구 27
 
5.9%
기 27
 
5.9%
로 27
 
5.9%
시 27
 
5.9%
도 27
 
5.9%
선 19
 
4.2%
Other values (43) 177
39.0%
Common
ValueCountFrequency (%)
120
42.6%
( 27
 
9.6%
) 27
 
9.6%
1 16
 
5.7%
4 15
 
5.3%
2 15
 
5.3%
3 12
 
4.3%
6 9
 
3.2%
8 8
 
2.8%
7 8
 
2.8%
Other values (5) 25
 
8.9%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 454
61.6%
ASCII 283
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
42.4%
( 27
 
9.5%
) 27
 
9.5%
1 16
 
5.7%
4 15
 
5.3%
2 15
 
5.3%
3 12
 
4.2%
6 9
 
3.2%
8 8
 
2.8%
7 8
 
2.8%
Other values (6) 26
 
9.2%
Hangul
ValueCountFrequency (%)
원 34
 
7.5%
수 32
 
7.0%
동 30
 
6.6%
경 27
 
5.9%
구 27
 
5.9%
기 27
 
5.9%
로 27
 
5.9%
시 27
 
5.9%
도 27
 
5.9%
선 19
 
4.2%
Other values (43) 177
39.0%

택시대수
Real number (ℝ)

Distinct19
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.148148
Minimum34
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-03-30T08:15:10.475873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile39.6
Q146
median49
Q356.5
95-th percentile74.7
Maximum240
Range206
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation37.688708
Coefficient of variation (CV)0.64814976
Kurtosis22.913054
Mean58.148148
Median Absolute Deviation (MAD)5
Skewness4.6337428
Sum1570
Variance1420.4387
MonotonicityNot monotonic
2024-03-30T08:15:10.920199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
48 3
 
11.1%
46 3
 
11.1%
41 3
 
11.1%
50 2
 
7.4%
53 2
 
7.4%
56 1
 
3.7%
34 1
 
3.7%
39 1
 
3.7%
63 1
 
3.7%
240 1
 
3.7%
Other values (9) 9
33.3%
ValueCountFrequency (%)
34 1
 
3.7%
39 1
 
3.7%
41 3
11.1%
44 1
 
3.7%
46 3
11.1%
47 1
 
3.7%
48 3
11.1%
49 1
 
3.7%
50 2
7.4%
52 1
 
3.7%
ValueCountFrequency (%)
240 1
3.7%
75 1
3.7%
74 1
3.7%
65 1
3.7%
64 1
3.7%
63 1
3.7%
57 1
3.7%
56 1
3.7%
53 2
7.4%
52 1
3.7%

전화번호
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-30T08:15:11.583584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters324
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

Unique27 ?
Unique (%)100.0%

Sample

1st row031-296-8055
2nd row031-252-1098
3rd row031-244-5041
4th row031-291-2420
5th row031-211-8760
ValueCountFrequency (%)
031-296-8055 1
 
3.7%
031-293-1155 1
 
3.7%
031-295-4261 1
 
3.7%
031-291-9868 1
 
3.7%
031-292-4891 1
 
3.7%
031-294-2784 1
 
3.7%
031-256-2023 1
 
3.7%
031-224-5297 1
 
3.7%
031-256-3008 1
 
3.7%
031-245-8856 1
 
3.7%
Other values (17) 17
63.0%
2024-03-30T08:15:12.894380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 55
17.0%
- 54
16.7%
0 43
13.3%
2 43
13.3%
3 33
10.2%
5 19
 
5.9%
9 18
 
5.6%
8 18
 
5.6%
4 18
 
5.6%
6 15
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
83.3%
Dash Punctuation 54
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 55
20.4%
0 43
15.9%
2 43
15.9%
3 33
12.2%
5 19
 
7.0%
9 18
 
6.7%
8 18
 
6.7%
4 18
 
6.7%
6 15
 
5.6%
7 8
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 55
17.0%
- 54
16.7%
0 43
13.3%
2 43
13.3%
3 33
10.2%
5 19
 
5.9%
9 18
 
5.6%
8 18
 
5.6%
4 18
 
5.6%
6 15
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 55
17.0%
- 54
16.7%
0 43
13.3%
2 43
13.3%
3 33
10.2%
5 19
 
5.9%
9 18
 
5.6%
8 18
 
5.6%
4 18
 
5.6%
6 15
 
4.6%

대표자명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-30T08:15:13.461697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length4.2222222
Min length3

Characters and Unicode

Total characters114
Distinct characters61
Distinct categories4 ?
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 (%)100.0%

Sample

1st row심재웅
2nd row권혁성
3rd row홍승진, 김옥선
4th row장대형
5th row정현구
ValueCountFrequency (%)
심재웅 1
 
3.6%
권혁성 1
 
3.6%
최무화+박은아 1
 
3.6%
오병래 1
 
3.6%
최무화 1
 
3.6%
정승기+정연기 1
 
3.6%
김성옥 1
 
3.6%
배영순+이정복 1
 
3.6%
김연배 1
 
3.6%
윤효진 1
 
3.6%
Other values (18) 18
64.3%
2024-03-30T08:15:14.527338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 7
 
6.1%
김 5
 
4.4%
이 5
 
4.4%
정 5
 
4.4%
성 4
 
3.5%
진 4
 
3.5%
조 4
 
3.5%
홍 3
 
2.6%
재 3
 
2.6%
최 3
 
2.6%
Other values (51) 71
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105
92.1%
Math Symbol 7
 
6.1%
Other Punctuation 1
 
0.9%
Space Separator 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
 
4.8%
이 5
 
4.8%
정 5
 
4.8%
성 4
 
3.8%
진 4
 
3.8%
조 4
 
3.8%
홍 3
 
2.9%
재 3
 
2.9%
최 3
 
2.9%
민 3
 
2.9%
Other values (48) 66
62.9%
Math Symbol
ValueCountFrequency (%)
+ 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105
92.1%
Common 9
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
 
4.8%
이 5
 
4.8%
정 5
 
4.8%
성 4
 
3.8%
진 4
 
3.8%
조 4
 
3.8%
홍 3
 
2.9%
재 3
 
2.9%
최 3
 
2.9%
민 3
 
2.9%
Other values (48) 66
62.9%
Common
ValueCountFrequency (%)
+ 7
77.8%
, 1
 
11.1%
1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105
92.1%
ASCII 9
 
7.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 7
77.8%
, 1
 
11.1%
1
 
11.1%
Hangul
ValueCountFrequency (%)
김 5
 
4.8%
이 5
 
4.8%
정 5
 
4.8%
성 4
 
3.8%
진 4
 
3.8%
조 4
 
3.8%
홍 3
 
2.9%
재 3
 
2.9%
최 3
 
2.9%
민 3
 
2.9%
Other values (48) 66
62.9%

팩스번호
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-30T08:15:15.069372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters324
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

Unique27 ?
Unique (%)100.0%

Sample

1st row031-296-7733
2nd row031-244-9484
3rd row031-244-5046
4th row031-293-0226
5th row031-213-1812
ValueCountFrequency (%)
031-296-7733 1
 
3.7%
031-292-0506 1
 
3.7%
031-295-4262 1
 
3.7%
031-292-8447 1
 
3.7%
031-292-5233 1
 
3.7%
031-294-2785 1
 
3.7%
031-256-2012 1
 
3.7%
031-224-2069 1
 
3.7%
031-255-3658 1
 
3.7%
031-251-6511 1
 
3.7%
Other values (17) 17
63.0%
2024-03-30T08:15:16.464795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 54
16.7%
1 49
15.1%
2 46
14.2%
0 39
12.0%
3 38
11.7%
4 24
7.4%
5 19
 
5.9%
9 17
 
5.2%
6 16
 
4.9%
8 13
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
83.3%
Dash Punctuation 54
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 49
18.1%
2 46
17.0%
0 39
14.4%
3 38
14.1%
4 24
8.9%
5 19
 
7.0%
9 17
 
6.3%
6 16
 
5.9%
8 13
 
4.8%
7 9
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 54
16.7%
1 49
15.1%
2 46
14.2%
0 39
12.0%
3 38
11.7%
4 24
7.4%
5 19
 
5.9%
9 17
 
5.2%
6 16
 
4.9%
8 13
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 54
16.7%
1 49
15.1%
2 46
14.2%
0 39
12.0%
3 38
11.7%
4 24
7.4%
5 19
 
5.9%
9 17
 
5.2%
6 16
 
4.9%
8 13
 
4.0%

기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-13
27 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-13
2nd row2024-03-13
3rd row2024-03-13
4th row2024-03-13
5th row2024-03-13

Common Values

ValueCountFrequency (%)
2024-03-13 27
100.0%

Length

2024-03-30T08:15:16.999462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T08:15:17.430041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-13 27
100.0%

Interactions

2024-03-30T08:15:04.091914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-30T08:15:17.852437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명면허일자소재지도로명주소택시대수전화번호대표자명팩스번호
업체명1.0001.0001.0001.0001.0001.0001.000
면허일자1.0001.0001.0000.8951.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.000
택시대수1.0000.8951.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.0001.000

Missing values

2024-03-30T08:15:04.539683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T08:15:05.207815image/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

업체명면허일자소재지도로명주소택시대수전화번호대표자명팩스번호기준일
0경진운수㈜1979-09-24경기도 수원시 권선구 오목천로 62(오목천동)75031-296-8055심재웅031-296-77332024-03-13
1광일운수(합)1979-09-11경기도 수원시 팔달구 팔달로 70(고등동)47031-252-1098권혁성031-244-94842024-03-13
2대경운수㈜2015-04-28경기도 수원시 장안구 장안로 427번길 4(이목동)52031-244-5041홍승진, 김옥선031-244-50462024-03-13
3대성운수㈜1979-09-24경기도 수원시 권선구 평동로 43 (고색동)48031-291-2420장대형031-293-02262024-03-13
4동아교통㈜1981-07-08경기도 수원시 영통구 매영로 159번길 45(원천동)74031-211-8760정현구031-213-18122024-03-13
5(합)동아운수1979-11-09경기도 수원시 권선구 새터로 47번길 84(세류동)46031-256-2180이명자031-255-44802024-03-13
6동일운수㈜1999-06-04경기도 수원시 권선구 호매실로 46-55(탑동)49031-241-1851심재천031-241-18522024-03-13
7명진상운㈜2004-07-12경기도 수원시 권선구 산업로 58(오목천동)44031-291-4710조명택+조윤식031-291-47092024-03-13
8민성택시협동조합2023-03-30경기도 수원시 영통구 매영로 238번길 20(원천동)65031-214-8883주성현031-214-88842024-03-13
9부광운수(합)1993-12-29경기도 수원시 권선구 새터로 47번길 64-1(세류동)57031-292-0581홍순민031-292-05832024-03-13
업체명면허일자소재지도로명주소택시대수전화번호대표자명팩스번호기준일
17창진운수㈜1994-10-05경기도 수원시 권선구 서수원로 25(오목천동)240031-292-7111이도형+이성준031-292-71072024-03-13
18창훈운수㈜2003-03-25경기도 수원시 장안구 파장천로 129(파장동)53031-245-8856윤효진031-251-65112024-03-13
19㈜케이비택시2007-09-13경기도 수원시 권선구 곡반정로 13번길 9(곡반정동)46031-256-3008김연배031-255-36582024-03-13
20㈜케이원택시1969-08-06경기도 수원시 팔달구 정조로 316(권선동)63031-224-5297배영순+이정복031-224-20692024-03-13
21팔달운수(합)1979-10-02경기도 수원시 장안구 송정로 167번길 27(조원동)39031-256-2023김성옥031-256-20122024-03-13
22㈜하나상운2016-08-25경기도 수원시 권선구 서부로 1632-4(고색동)34031-294-2784정승기+정연기031-294-27852024-03-13
23현대운수㈜1979-11-23경기도 수원시 권선구 매송고색로 794번길 38(고색동)46031-292-4891최무화031-292-52332024-03-13
24홍보운수㈜1986-12-23경기도 수원시 권선구 매송고색로804번길 208(평리동)41031-291-9868오병래031-292-84472024-03-13
25화진운수㈜2002-11-29경기도 수원시 권선구 온정로 73(오목천동)56031-295-4261최무화+박은아031-295-42622024-03-13
26희망교통운수㈜1979-09-26경기도 수원시 영통구 창룡대로 232(이의동)48031-241-6600조광식+조수진031-241-66012024-03-13