Overview

Dataset statistics

Number of variables9
Number of observations41
Missing cells8
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory75.2 B

Variable types

Categorical3
DateTime2
Text4

Dataset

Description경기도 여주시의 화물자동차 운송주선사업 허가업체 현황 데이터입니다. 인허가일자, 인허가번호, 업종구분, 업체명, 도로명주소, 지번주소 등의 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15100700/fileData.do

Alerts

시군명 has constant value ""Constant
영업상태 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업종구분 is highly imbalanced (58.8%)Imbalance
도로명주소 has 1 (2.4%) missing valuesMissing
지번주소 has 7 (17.1%) missing valuesMissing
인허가일자 has unique valuesUnique
인허가번호 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:10:09.145402
Analysis finished2023-12-12 20:10:10.266528
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
여주시
41 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여주시 41
100.0%

Length

2023-12-13T05:10:10.345008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:10:10.451517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여주시 41
100.0%

인허가일자
Date

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum1985-08-27 00:00:00
Maximum2022-07-21 00:00:00
2023-12-13T05:10:10.581101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:10.732913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

인허가번호
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T05:10:10.964547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters861
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

Unique41 ?
Unique (%)100.0%

Sample

1st row5700000-2022-03-00001
2nd row5700000-2021-03-00001
3rd row5700000-2018-03-00003
4th row5700000-2015-03-00002
5th row5700000-2014-03-00002
ValueCountFrequency (%)
5700000-2022-03-00001 1
 
2.4%
5700000-2002-03-00004 1
 
2.4%
5700000-2001-03-00006 1
 
2.4%
5700000-2001-03-00004 1
 
2.4%
5700000-2001-03-00001 1
 
2.4%
5700000-2000-03-00005 1
 
2.4%
5700000-1999-03-00007 1
 
2.4%
5700000-1999-03-00005 1
 
2.4%
5700000-1999-03-00004 1
 
2.4%
5700000-1998-03-00001 1
 
2.4%
Other values (31) 31
75.6%
2023-12-13T05:10:11.304211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 459
53.3%
- 123
 
14.3%
3 52
 
6.0%
7 49
 
5.7%
5 47
 
5.5%
2 41
 
4.8%
1 34
 
3.9%
9 31
 
3.6%
4 12
 
1.4%
8 7
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 738
85.7%
Dash Punctuation 123
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 459
62.2%
3 52
 
7.0%
7 49
 
6.6%
5 47
 
6.4%
2 41
 
5.6%
1 34
 
4.6%
9 31
 
4.2%
4 12
 
1.6%
8 7
 
0.9%
6 6
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 861
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 459
53.3%
- 123
 
14.3%
3 52
 
6.0%
7 49
 
5.7%
5 47
 
5.5%
2 41
 
4.8%
1 34
 
3.9%
9 31
 
3.6%
4 12
 
1.4%
8 7
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 861
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 459
53.3%
- 123
 
14.3%
3 52
 
6.0%
7 49
 
5.7%
5 47
 
5.5%
2 41
 
4.8%
1 34
 
3.9%
9 31
 
3.6%
4 12
 
1.4%
8 7
 
0.8%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
신규
41 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신규 41
100.0%

Length

2023-12-13T05:10:11.463631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:10:11.586426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 41
100.0%

업종구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
일반화물
36 
이사화물
 
3
일반.이사화물
 
2

Length

Max length7
Median length4
Mean length4.1463415
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반화물
2nd row이사화물
3rd row일반화물
4th row일반화물
5th row일반화물

Common Values

ValueCountFrequency (%)
일반화물 36
87.8%
이사화물 3
 
7.3%
일반.이사화물 2
 
4.9%

Length

2023-12-13T05:10:11.704459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:10:11.823318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반화물 36
87.8%
이사화물 3
 
7.3%
일반.이사화물 2
 
4.9%

업체명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T05:10:12.043388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.8780488
Min length3

Characters and Unicode

Total characters282
Distinct characters88
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row(주)태산종합물류
2nd row수호천사익스프레스
3rd row주식회사 무신사로지스틱스
4th row여주화물
5th row우리물류(주)
ValueCountFrequency (%)
주)태산종합물류 1
 
2.4%
주)연우로지스 1
 
2.4%
주)유진로지스틱스 1
 
2.4%
전국화물 1
 
2.4%
제이물류 1
 
2.4%
유)천지특수화물 1
 
2.4%
가람로지스 1
 
2.4%
대산물류 1
 
2.4%
주)홍남물류 1
 
2.4%
주)대흥종합물류 1
 
2.4%
Other values (32) 32
76.2%
2023-12-13T05:10:12.410863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 25
 
8.9%
( 22
 
7.8%
) 22
 
7.8%
스 19
 
6.7%
물 18
 
6.4%
지 13
 
4.6%
류 12
 
4.3%
로 10
 
3.5%
화 6
 
2.1%
사 5
 
1.8%
Other values (78) 130
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 234
83.0%
Open Punctuation 22
 
7.8%
Close Punctuation 22
 
7.8%
Uppercase Letter 2
 
0.7%
Other Punctuation 1
 
0.4%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 25
 
10.7%
스 19
 
8.1%
물 18
 
7.7%
지 13
 
5.6%
류 12
 
5.1%
로 10
 
4.3%
화 6
 
2.6%
사 5
 
2.1%
운 5
 
2.1%
수 5
 
2.1%
Other values (72) 116
49.6%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
E 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 234
83.0%
Common 46
 
16.3%
Latin 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 25
 
10.7%
스 19
 
8.1%
물 18
 
7.7%
지 13
 
5.6%
류 12
 
5.1%
로 10
 
4.3%
화 6
 
2.6%
사 5
 
2.1%
운 5
 
2.1%
수 5
 
2.1%
Other values (72) 116
49.6%
Common
ValueCountFrequency (%)
( 22
47.8%
) 22
47.8%
& 1
 
2.2%
1
 
2.2%
Latin
ValueCountFrequency (%)
S 1
50.0%
E 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 234
83.0%
ASCII 48
 
17.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 25
 
10.7%
스 19
 
8.1%
물 18
 
7.7%
지 13
 
5.6%
류 12
 
5.1%
로 10
 
4.3%
화 6
 
2.6%
사 5
 
2.1%
운 5
 
2.1%
수 5
 
2.1%
Other values (72) 116
49.6%
ASCII
ValueCountFrequency (%)
( 22
45.8%
) 22
45.8%
& 1
 
2.1%
S 1
 
2.1%
E 1
 
2.1%
1
 
2.1%

도로명주소
Text

MISSING 

Distinct38
Distinct (%)95.0%
Missing1
Missing (%)2.4%
Memory size460.0 B
2023-12-13T05:10:12.686903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length22.525
Min length17

Characters and Unicode

Total characters901
Distinct characters88
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

Unique36 ?
Unique (%)90.0%

Sample

1st row경기도 여주시 강변로 158, 인텔존 401호 (상동)
2nd row경기도 여주시 주내로 494-32, 나동 1층 (우만동)
3rd row경기도 여주시 대신면 여양로 1303, 1동 지하1층
4th row경기도 여주시 강변북로 39 (오학동)
5th row경기도 여주시 산북면 금품2로 15-21
ValueCountFrequency (%)
경기도 40
 
18.9%
여주시 40
 
18.9%
가남읍 5
 
2.4%
점봉동 5
 
2.4%
북내면 4
 
1.9%
여양로 4
 
1.9%
오학동 3
 
1.4%
주내로 3
 
1.4%
대신면 3
 
1.4%
세종로 3
 
1.4%
Other values (83) 102
48.1%
2023-12-13T05:10:13.139163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
172
19.1%
여 54
 
6.0%
주 46
 
5.1%
1 46
 
5.1%
경 42
 
4.7%
도 41
 
4.6%
시 40
 
4.4%
기 40
 
4.4%
로 36
 
4.0%
동 24
 
2.7%
Other values (78) 360
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 506
56.2%
Space Separator 172
 
19.1%
Decimal Number 158
 
17.5%
Close Punctuation 19
 
2.1%
Open Punctuation 19
 
2.1%
Dash Punctuation 19
 
2.1%
Other Punctuation 8
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 54
 
10.7%
주 46
 
9.1%
경 42
 
8.3%
도 41
 
8.1%
시 40
 
7.9%
기 40
 
7.9%
로 36
 
7.1%
동 24
 
4.7%
면 16
 
3.2%
대 9
 
1.8%
Other values (63) 158
31.2%
Decimal Number
ValueCountFrequency (%)
1 46
29.1%
2 19
12.0%
3 17
 
10.8%
5 16
 
10.1%
4 13
 
8.2%
7 11
 
7.0%
8 11
 
7.0%
0 9
 
5.7%
6 8
 
5.1%
9 8
 
5.1%
Space Separator
ValueCountFrequency (%)
172
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 506
56.2%
Common 395
43.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 54
 
10.7%
주 46
 
9.1%
경 42
 
8.3%
도 41
 
8.1%
시 40
 
7.9%
기 40
 
7.9%
로 36
 
7.1%
동 24
 
4.7%
면 16
 
3.2%
대 9
 
1.8%
Other values (63) 158
31.2%
Common
ValueCountFrequency (%)
172
43.5%
1 46
 
11.6%
2 19
 
4.8%
) 19
 
4.8%
( 19
 
4.8%
- 19
 
4.8%
3 17
 
4.3%
5 16
 
4.1%
4 13
 
3.3%
7 11
 
2.8%
Other values (5) 44
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 506
56.2%
ASCII 395
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
172
43.5%
1 46
 
11.6%
2 19
 
4.8%
) 19
 
4.8%
( 19
 
4.8%
- 19
 
4.8%
3 17
 
4.3%
5 16
 
4.1%
4 13
 
3.3%
7 11
 
2.8%
Other values (5) 44
 
11.1%
Hangul
ValueCountFrequency (%)
여 54
 
10.7%
주 46
 
9.1%
경 42
 
8.3%
도 41
 
8.1%
시 40
 
7.9%
기 40
 
7.9%
로 36
 
7.1%
동 24
 
4.7%
면 16
 
3.2%
대 9
 
1.8%
Other values (63) 158
31.2%

지번주소
Text

MISSING 

Distinct33
Distinct (%)97.1%
Missing7
Missing (%)17.1%
Memory size460.0 B
2023-12-13T05:10:13.435069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length20.176471
Min length14

Characters and Unicode

Total characters686
Distinct characters80
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

Unique32 ?
Unique (%)94.1%

Sample

1st row경기도 여주시 상동 177-4 인텔존 401호
2nd row경기도 여주시 우만동 1
3rd row경기도 여주시 대신면 초현리 395-2 지하1층 1동
4th row경기도 여주시 오학동 378-4
5th row경기도 여주시 산북면 상품리 169-45
ValueCountFrequency (%)
경기도 34
20.9%
여주시 34
20.9%
가남읍 5
 
3.1%
점봉동 4
 
2.5%
오학동 3
 
1.8%
북내면 3
 
1.8%
건장리 2
 
1.2%
매룡동 2
 
1.2%
세종대왕면 2
 
1.2%
가정리 2
 
1.2%
Other values (68) 72
44.2%
2023-12-13T05:10:14.021897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
23.0%
도 35
 
5.1%
경 34
 
5.0%
여 34
 
5.0%
주 34
 
5.0%
시 34
 
5.0%
기 34
 
5.0%
1 30
 
4.4%
- 22
 
3.2%
동 20
 
2.9%
Other values (70) 251
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 375
54.7%
Space Separator 158
23.0%
Decimal Number 131
 
19.1%
Dash Punctuation 22
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 35
 
9.3%
경 34
 
9.1%
여 34
 
9.1%
주 34
 
9.1%
시 34
 
9.1%
기 34
 
9.1%
동 20
 
5.3%
리 18
 
4.8%
면 13
 
3.5%
가 8
 
2.1%
Other values (58) 111
29.6%
Decimal Number
ValueCountFrequency (%)
1 30
22.9%
9 14
10.7%
3 14
10.7%
5 13
9.9%
4 13
9.9%
0 12
 
9.2%
2 12
 
9.2%
7 8
 
6.1%
8 8
 
6.1%
6 7
 
5.3%
Space Separator
ValueCountFrequency (%)
158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 375
54.7%
Common 311
45.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 35
 
9.3%
경 34
 
9.1%
여 34
 
9.1%
주 34
 
9.1%
시 34
 
9.1%
기 34
 
9.1%
동 20
 
5.3%
리 18
 
4.8%
면 13
 
3.5%
가 8
 
2.1%
Other values (58) 111
29.6%
Common
ValueCountFrequency (%)
158
50.8%
1 30
 
9.6%
- 22
 
7.1%
9 14
 
4.5%
3 14
 
4.5%
5 13
 
4.2%
4 13
 
4.2%
0 12
 
3.9%
2 12
 
3.9%
7 8
 
2.6%
Other values (2) 15
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 375
54.7%
ASCII 311
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
50.8%
1 30
 
9.6%
- 22
 
7.1%
9 14
 
4.5%
3 14
 
4.5%
5 13
 
4.2%
4 13
 
4.2%
0 12
 
3.9%
2 12
 
3.9%
7 8
 
2.6%
Other values (2) 15
 
4.8%
Hangul
ValueCountFrequency (%)
도 35
 
9.3%
경 34
 
9.1%
여 34
 
9.1%
주 34
 
9.1%
시 34
 
9.1%
기 34
 
9.1%
동 20
 
5.3%
리 18
 
4.8%
면 13
 
3.5%
가 8
 
2.1%
Other values (58) 111
29.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2023-06-15 00:00:00
Maximum2023-06-15 00:00:00
2023-12-13T05:10:14.169898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:10:14.283031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T05:10:14.383441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가일자인허가번호업종구분업체명도로명주소지번주소
인허가일자1.0001.0001.0001.0001.0001.000
인허가번호1.0001.0001.0001.0001.0001.000
업종구분1.0001.0001.0001.0001.0001.000
업체명1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.000

Missing values

2023-12-13T05:10:09.561735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:10:10.084428image/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.
2023-12-13T05:10:10.201717image/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

시군명인허가일자인허가번호영업상태업종구분업체명도로명주소지번주소데이터기준일자
0여주시2022-07-215700000-2022-03-00001신규일반화물(주)태산종합물류경기도 여주시 강변로 158, 인텔존 401호 (상동)경기도 여주시 상동 177-4 인텔존 401호2023-06-15
1여주시2003-10-025700000-2021-03-00001신규이사화물수호천사익스프레스경기도 여주시 주내로 494-32, 나동 1층 (우만동)경기도 여주시 우만동 12023-06-15
2여주시2002-05-205700000-2018-03-00003신규일반화물주식회사 무신사로지스틱스경기도 여주시 대신면 여양로 1303, 1동 지하1층경기도 여주시 대신면 초현리 395-2 지하1층 1동2023-06-15
3여주시2015-10-015700000-2015-03-00002신규일반화물여주화물경기도 여주시 강변북로 39 (오학동)경기도 여주시 오학동 378-42023-06-15
4여주시2002-12-105700000-2014-03-00002신규일반화물우리물류(주)경기도 여주시 산북면 금품2로 15-21경기도 여주시 산북면 상품리 169-452023-06-15
5여주시2014-01-135700000-2014-03-00001신규일반화물(주)그린경기도 여주시 대신면 여양로 693-10<NA>2023-06-15
6여주시2008-07-095700000-2008-03-00002신규일반화물기소물류경기도 여주시 여흥로 79, 2층 (하동)경기도 여주시 하동 306-22023-06-15
7여주시2007-12-175700000-2007-03-00010신규일반화물(주)바로경기도 여주시 여양로 375-1 (오학동)경기도 여주시 오학동 산 502023-06-15
8여주시2007-08-235700000-2007-03-00009신규일반화물(주)럭키경기도 여주시 여원로 71, 2층 (교동)경기도 여주시 교동 191-42023-06-15
9여주시2007-03-275700000-2007-03-00008신규일반화물최성현경기도 여주시 금사면 이여로 1249-0<NA>2023-06-15
시군명인허가일자인허가번호영업상태업종구분업체명도로명주소지번주소데이터기준일자
31여주시1995-04-245700000-1995-03-00002신규일반화물태형종합물류경기도 여주시 세종대왕면 능서로 5경기도 여주시 세종대왕면 번도리 409-132023-06-15
32여주시1994-04-285700000-1994-03-00004신규일반화물(주)선모운수경기도 여주시 흥천면 이여로 1091, 6호경기도 여주시 흥천면 계신리 468-82023-06-15
33여주시1993-11-175700000-1993-03-00006신규일반화물(주)사랑운수경기도 여주시 대신면 대신로 772-28<NA>2023-06-15
34여주시1993-08-205700000-1993-03-00004신규일반화물(주)태원로지스경기도 여주시 북내면 가정1길 41-8<NA>2023-06-15
35여주시1993-09-095700000-1993-03-00003신규이사화물경기고속화물(주)경기도 여주시 웅골로 12-11 (점봉동)경기도 여주시 점봉동 4492023-06-15
36여주시1992-05-215700000-1992-03-00003신규일반.이사화물뉴굿모닝익스프레스경기도 여주시 강천면 강문로 368-16경기도 여주시 강천면 이호리 122-9 외 3필지2023-06-15
37여주시1992-12-055700000-1992-03-00001신규일반화물세창물류경기도 여주시 여주남로 312 (연라동)<NA>2023-06-15
38여주시1990-06-295700000-1990-03-00001신규일반화물전국일주단미물류경기도 여주시 주내로 262 (매룡동)경기도 여주시 매룡동 7-52023-06-15
39여주시1988-01-225700000-1988-03-00001신규일반화물(주)태은경기도 여주시 가남읍 여주남로 782-16경기도 여주시 가남읍 본두리 6982023-06-15
40여주시1985-08-275700000-1985-03-00001신규일반화물(합)대영운송경기도 여주시 점동면 장여로 849경기도 여주시 점동면 덕평리 188-52023-06-15