Overview

Dataset statistics

Number of variables15
Number of observations2093
Missing cells1673
Missing cells (%)5.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory251.5 KiB
Average record size in memory123.1 B

Variable types

Numeric3
Text7
Categorical3
DateTime2

Dataset

Description충청남도 아산시 관내 일반화물운송사업자 정보로서 개인 일반특수화물은 포함하지 않습니다. 상호, 차명, 차종, 총중량, 적재량, 허가연월일, 사무소소재지(주소), 차고지주소 등의 내용을 포함합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=39&beforeMenuCd=DOM_000000201001001000&publicdatapk=15115506

Alerts

사업자구분 has constant value ""Constant
사업의종류 has constant value ""Constant
총중량 is highly overall correlated with 최대적재량 and 1 other fieldsHigh correlation
최대적재량 is highly overall correlated with 총중량High correlation
차종 is highly overall correlated with 총중량High correlation
총중량 has 44 (2.1%) missing valuesMissing
최대적재량 has 44 (2.1%) missing valuesMissing
차기허가신고기간 has 300 (14.3%) missing valuesMissing
주사무소도로명주소 has 313 (15.0%) missing valuesMissing
주사무소지번주소 has 232 (11.1%) missing valuesMissing
차고지지번주소 has 48 (2.3%) missing valuesMissing
임차시작일자 has 21 (1.0%) missing valuesMissing
임차종료일자 has 669 (32.0%) missing valuesMissing
순번 has unique valuesUnique
총중량 has 95 (4.5%) zerosZeros
최대적재량 has 22 (1.1%) zerosZeros

Reproduction

Analysis started2024-01-09 19:46:00.769751
Analysis finished2024-01-09 19:46:03.063127
Duration2.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct2093
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1047
Minimum1
Maximum2093
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-01-10T04:46:03.122593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile105.6
Q1524
median1047
Q31570
95-th percentile1988.4
Maximum2093
Range2092
Interquartile range (IQR)1046

Descriptive statistics

Standard deviation604.34138
Coefficient of variation (CV)0.57721239
Kurtosis-1.2
Mean1047
Median Absolute Deviation (MAD)523
Skewness0
Sum2191371
Variance365228.5
MonotonicityStrictly increasing
2024-01-10T04:46:03.416928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1407 1
 
< 0.1%
1405 1
 
< 0.1%
1404 1
 
< 0.1%
1403 1
 
< 0.1%
1402 1
 
< 0.1%
1401 1
 
< 0.1%
1400 1
 
< 0.1%
1399 1
 
< 0.1%
1398 1
 
< 0.1%
Other values (2083) 2083
99.5%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2093 1
< 0.1%
2092 1
< 0.1%
2091 1
< 0.1%
2090 1
< 0.1%
2089 1
< 0.1%
2088 1
< 0.1%
2087 1
< 0.1%
2086 1
< 0.1%
2085 1
< 0.1%
2084 1
< 0.1%

상호
Text

Distinct129
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
2024-01-10T04:46:03.591600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length8.4945055
Min length4

Characters and Unicode

Total characters17779
Distinct characters150
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

Unique24 ?
Unique (%)1.1%

Sample

1st row동방기업㈜
2nd row동방기업㈜
3rd row동방기업㈜
4th row동방기업㈜
5th row동방기업㈜
ValueCountFrequency (%)
한국컨테이너풀(주)아산지점 100
 
4.6%
한국로지스풀(주)아산영업소 90
 
4.1%
하나종합물류㈜아산영업소 82
 
3.7%
주)도림로지스 79
 
3.6%
충경경동합동택배(주 70
 
3.2%
부경합동경동택배㈜ 67
 
3.1%
유엘피(주 65
 
3.0%
주)하나로티앤에스 64
 
2.9%
아산영업소 64
 
2.9%
유)금원물류 64
 
2.9%
Other values (122) 1447
66.0%
2024-01-10T04:46:03.919528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 1177
 
6.6%
( 1177
 
6.6%
주 1117
 
6.3%
㈜ 881
 
5.0%
스 755
 
4.2%
물 599
 
3.4%
지 502
 
2.8%
산 500
 
2.8%
로 487
 
2.7%
류 486
 
2.7%
Other values (140) 10098
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14281
80.3%
Close Punctuation 1177
 
6.6%
Open Punctuation 1177
 
6.6%
Other Symbol 881
 
5.0%
Other Punctuation 164
 
0.9%
Space Separator 99
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1117
 
7.8%
스 755
 
5.3%
물 599
 
4.2%
지 502
 
3.5%
산 500
 
3.5%
로 487
 
3.4%
류 486
 
3.4%
아 482
 
3.4%
경 409
 
2.9%
영 408
 
2.9%
Other values (135) 8536
59.8%
Close Punctuation
ValueCountFrequency (%)
) 1177
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1177
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 881
100.0%
Other Punctuation
ValueCountFrequency (%)
" 164
100.0%
Space Separator
ValueCountFrequency (%)
99
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15162
85.3%
Common 2617
 
14.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1117
 
7.4%
㈜ 881
 
5.8%
스 755
 
5.0%
물 599
 
4.0%
지 502
 
3.3%
산 500
 
3.3%
로 487
 
3.2%
류 486
 
3.2%
아 482
 
3.2%
경 409
 
2.7%
Other values (136) 8944
59.0%
Common
ValueCountFrequency (%)
) 1177
45.0%
( 1177
45.0%
" 164
 
6.3%
99
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14281
80.3%
ASCII 2617
 
14.7%
None 881
 
5.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 1177
45.0%
( 1177
45.0%
" 164
 
6.3%
99
 
3.8%
Hangul
ValueCountFrequency (%)
주 1117
 
7.8%
스 755
 
5.3%
물 599
 
4.2%
지 502
 
3.5%
산 500
 
3.5%
로 487
 
3.4%
류 486
 
3.4%
아 482
 
3.4%
경 409
 
2.9%
영 408
 
2.9%
Other values (135) 8536
59.8%
None
ValueCountFrequency (%)
㈜ 881
100.0%

사업자구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
법인
2093 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
법인 2093
100.0%

Length

2024-01-10T04:46:04.042834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:46:04.140284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 2093
100.0%

사업의종류
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
일반화물
2093 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반화물 2093
100.0%

Length

2024-01-10T04:46:04.238300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:46:04.318910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반화물 2093
100.0%

차명
Text

Distinct582
Distinct (%)27.8%
Missing2
Missing (%)0.1%
Memory size16.5 KiB
2024-01-10T04:46:04.490537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length19
Mean length9.9942611
Min length2

Characters and Unicode

Total characters20898
Distinct characters276
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique342 ?
Unique (%)16.4%

Sample

1st row한국쓰리축4.5톤윙바디
2nd row토미6.5톤와이드캡카고
3rd row우정2.4톤윙바디
4th row대성2.4톤윙바디
5th row한국쓰리축4.5톤트럭
ValueCountFrequency (%)
메가트럭 121
 
5.0%
트라고(trago 85
 
3.5%
이-마이티 65
 
2.7%
뉴파워트럭 43
 
1.8%
엑시언트(xcient 42
 
1.7%
마이티 42
 
1.7%
대우25톤카고트럭 41
 
1.7%
대우25톤장축카고트럭 34
 
1.4%
트랙터 33
 
1.4%
포터ⅱ 33
 
1.4%
Other values (617) 1886
77.8%
2024-01-10T04:46:04.796241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 1605
 
7.7%
톤 872
 
4.2%
럭 782
 
3.7%
. 508
 
2.4%
고 504
 
2.4%
2 503
 
2.4%
한 500
 
2.4%
4 496
 
2.4%
5 486
 
2.3%
이 466
 
2.2%
Other values (266) 14176
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14909
71.3%
Decimal Number 2430
 
11.6%
Uppercase Letter 1705
 
8.2%
Other Punctuation 508
 
2.4%
Space Separator 334
 
1.6%
Close Punctuation 298
 
1.4%
Open Punctuation 298
 
1.4%
Letter Number 181
 
0.9%
Lowercase Letter 114
 
0.5%
Dash Punctuation 94
 
0.4%
Other values (3) 27
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 1605
 
10.8%
톤 872
 
5.8%
럭 782
 
5.2%
고 504
 
3.4%
한 500
 
3.4%
이 466
 
3.1%
대 386
 
2.6%
축 382
 
2.6%
카 379
 
2.5%
러 327
 
2.2%
Other values (213) 8706
58.4%
Uppercase Letter
ValueCountFrequency (%)
T 280
16.4%
R 270
15.8%
O 185
10.9%
A 164
9.6%
E 153
9.0%
G 128
7.5%
X 92
 
5.4%
P 81
 
4.8%
I 78
 
4.6%
N 75
 
4.4%
Other values (9) 199
11.7%
Lowercase Letter
ValueCountFrequency (%)
x 21
18.4%
t 19
16.7%
s 16
14.0%
o 16
14.0%
c 16
14.0%
r 16
14.0%
f 3
 
2.6%
m 2
 
1.8%
i 1
 
0.9%
n 1
 
0.9%
Other values (3) 3
 
2.6%
Decimal Number
ValueCountFrequency (%)
2 503
20.7%
4 496
20.4%
5 486
20.0%
1 287
11.8%
0 241
9.9%
3 129
 
5.3%
7 102
 
4.2%
6 97
 
4.0%
8 50
 
2.1%
9 39
 
1.6%
Letter Number
ValueCountFrequency (%)
Ⅱ 155
85.6%
Ⅲ 26
 
14.4%
Dash Punctuation
ValueCountFrequency (%)
- 70
74.5%
－ 24
 
25.5%
Other Punctuation
ValueCountFrequency (%)
. 508
100.0%
Space Separator
ValueCountFrequency (%)
334
100.0%
Close Punctuation
ValueCountFrequency (%)
) 298
100.0%
Open Punctuation
ValueCountFrequency (%)
( 298
100.0%
Other Symbol
ValueCountFrequency (%)
㎥ 22
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 3
100.0%
Math Symbol
ValueCountFrequency (%)
× 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14909
71.3%
Common 3989
 
19.1%
Latin 2000
 
9.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 1605
 
10.8%
톤 872
 
5.8%
럭 782
 
5.2%
고 504
 
3.4%
한 500
 
3.4%
이 466
 
3.1%
대 386
 
2.6%
축 382
 
2.6%
카 379
 
2.5%
러 327
 
2.2%
Other values (213) 8706
58.4%
Latin
ValueCountFrequency (%)
T 280
14.0%
R 270
13.5%
O 185
9.2%
A 164
 
8.2%
Ⅱ 155
 
7.8%
E 153
 
7.6%
G 128
 
6.4%
X 92
 
4.6%
P 81
 
4.0%
I 78
 
3.9%
Other values (24) 414
20.7%
Common
ValueCountFrequency (%)
. 508
12.7%
2 503
12.6%
4 496
12.4%
5 486
12.2%
334
8.4%
) 298
7.5%
( 298
7.5%
1 287
7.2%
0 241
6.0%
3 129
 
3.2%
Other values (9) 409
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14909
71.3%
ASCII 5760
 
27.6%
Number Forms 181
 
0.9%
None 26
 
0.1%
CJK Compat 22
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 1605
 
10.8%
톤 872
 
5.8%
럭 782
 
5.2%
고 504
 
3.4%
한 500
 
3.4%
이 466
 
3.1%
대 386
 
2.6%
축 382
 
2.6%
카 379
 
2.5%
러 327
 
2.2%
Other values (213) 8706
58.4%
ASCII
ValueCountFrequency (%)
. 508
 
8.8%
2 503
 
8.7%
4 496
 
8.6%
5 486
 
8.4%
334
 
5.8%
) 298
 
5.2%
( 298
 
5.2%
1 287
 
5.0%
T 280
 
4.9%
R 270
 
4.7%
Other values (38) 2000
34.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 155
85.6%
Ⅲ 26
 
14.4%
None
ValueCountFrequency (%)
－ 24
92.3%
× 2
 
7.7%
CJK Compat
ValueCountFrequency (%)
㎥ 22
100.0%

차종
Categorical

HIGH CORRELATION 

Distinct39
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
화물일반형-카고대형
770 
화물특수용도형-특수용도형대형
421 
화물일반형-카고중형
197 
화물특수용도형-피견인대형
158 
특수견인대형
136 
Other values (34)
411 

Length

Max length15
Median length10
Mean length11.239369
Min length2

Unique

Unique11 ?
Unique (%)0.5%

Sample

1st row화물특수용도형-특수용도형대형
2nd row화물일반형-카고대형
3rd row화물특수용도형-특수용도형중형
4th row화물특수용도형-특수용도형중형
5th row화물일반형-카고대형

Common Values

ValueCountFrequency (%)
화물일반형-카고대형 770
36.8%
화물특수용도형-특수용도형대형 421
20.1%
화물일반형-카고중형 197
 
9.4%
화물특수용도형-피견인대형 158
 
7.5%
특수견인대형 136
 
6.5%
화물특수용도형-특수용도형중형 133
 
6.4%
화물일반형-카고소형 79
 
3.8%
화물차일반형대형 53
 
2.5%
화물특수용도형-특수용도형소형 34
 
1.6%
특수차견인형대형 19
 
0.9%
Other values (29) 93
 
4.4%

Length

2024-01-10T04:46:04.908678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화물일반형-카고대형 770
36.8%
화물특수용도형-특수용도형대형 421
20.1%
화물일반형-카고중형 197
 
9.4%
화물특수용도형-피견인대형 158
 
7.5%
특수견인대형 136
 
6.5%
화물특수용도형-특수용도형중형 133
 
6.4%
화물일반형-카고소형 79
 
3.8%
화물차일반형대형 53
 
2.5%
화물특수용도형-특수용도형소형 34
 
1.6%
특수차견인형대형 19
 
0.9%
Other values (29) 93
 
4.4%

총중량
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct768
Distinct (%)37.5%
Missing44
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean19719.512
Minimum0
Maximum39980
Zeros95
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-01-10T04:46:05.009897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2839
Q17895
median20195
Q330680
95-th percentile39045
Maximum39980
Range39980
Interquartile range (IQR)22785

Descriptive statistics

Standard deviation11966.553
Coefficient of variation (CV)0.60683821
Kurtosis-1.2691734
Mean19719.512
Median Absolute Deviation (MAD)10535
Skewness-0.0021747284
Sum40405280
Variance1.431984 × 108
MonotonicityNot monotonic
2024-01-10T04:46:05.129087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 95
 
4.5%
31000 45
 
2.2%
7415 33
 
1.6%
30800 30
 
1.4%
30845 30
 
1.4%
7465 25
 
1.2%
30950 20
 
1.0%
7445 19
 
0.9%
25600 19
 
0.9%
30550 17
 
0.8%
Other values (758) 1716
82.0%
(Missing) 44
 
2.1%
ValueCountFrequency (%)
0 95
4.5%
1445 3
 
0.1%
2335 1
 
< 0.1%
2440 1
 
< 0.1%
2725 1
 
< 0.1%
2740 1
 
< 0.1%
2815 1
 
< 0.1%
2875 11
 
0.5%
2895 8
 
0.4%
2905 10
 
0.5%
ValueCountFrequency (%)
39980 2
0.1%
39970 1
 
< 0.1%
39930 4
0.2%
39900 2
0.1%
39890 1
 
< 0.1%
39870 3
0.1%
39860 2
0.1%
39840 1
 
< 0.1%
39810 2
0.1%
39780 2
0.1%

최대적재량
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct211
Distinct (%)10.3%
Missing44
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean11994.452
Minimum0
Maximum27500
Zeros22
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-01-10T04:46:05.241954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1000
Q12800
median10500
Q322000
95-th percentile26250
Maximum27500
Range27500
Interquartile range (IQR)19200

Descriptive statistics

Standard deviation9176.8178
Coefficient of variation (CV)0.76508852
Kurtosis-1.4536072
Mean11994.452
Median Absolute Deviation (MAD)8100
Skewness0.2974198
Sum24576633
Variance84213986
MonotonicityNot monotonic
2024-01-10T04:46:05.349531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25000 127
 
6.1%
16500 109
 
5.2%
2400 93
 
4.4%
1000 82
 
3.9%
4500 69
 
3.3%
12000 51
 
2.4%
11500 49
 
2.3%
24000 49
 
2.3%
26500 44
 
2.1%
1800 44
 
2.1%
Other values (201) 1332
63.6%
(Missing) 44
 
2.1%
ValueCountFrequency (%)
0 22
1.1%
200 1
 
< 0.1%
300 1
 
< 0.1%
450 3
 
0.1%
500 6
 
0.3%
600 16
0.8%
650 2
 
0.1%
700 16
0.8%
800 4
 
0.2%
850 2
 
0.1%
ValueCountFrequency (%)
27500 8
 
0.4%
27300 1
 
< 0.1%
27200 10
 
0.5%
27100 14
 
0.7%
27000 24
1.1%
26900 1
 
< 0.1%
26500 44
2.1%
26250 4
 
0.2%
26200 1
 
< 0.1%
26100 8
 
0.4%

허가연월일
Date

Distinct125
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
Minimum1962-08-07 00:00:00
Maximum2019-03-21 00:00:00
2024-01-10T04:46:05.453807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:05.560801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

차기허가신고기간
Text

MISSING 

Distinct72
Distinct (%)4.0%
Missing300
Missing (%)14.3%
Memory size16.5 KiB
2024-01-10T04:46:05.765608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters37653
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row2023-12-31~2024-03-30
2nd row2023-12-31~2024-03-30
3rd row2023-12-31~2024-03-30
4th row2023-12-31~2024-03-30
5th row2023-12-31~2024-03-30
ValueCountFrequency (%)
2023-11-28~2024-02-27 354
19.7%
2023-12-31~2024-03-30 140
 
7.8%
2018-11-19~2019-02-18 90
 
5.0%
2023-12-19~2024-03-18 82
 
4.6%
2023-10-22~2024-01-21 79
 
4.4%
2024-01-08~2024-04-07 78
 
4.4%
2024-02-27~2024-05-26 73
 
4.1%
2024-03-25~2024-06-24 65
 
3.6%
2023-07-12~2023-10-11 60
 
3.3%
2023-07-26~2023-10-25 45
 
2.5%
Other values (62) 727
40.5%
2024-01-10T04:46:06.059234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 10239
27.2%
- 7172
19.0%
0 7133
18.9%
1 3474
 
9.2%
3 2059
 
5.5%
~ 1793
 
4.8%
4 1764
 
4.7%
6 929
 
2.5%
8 842
 
2.2%
7 827
 
2.2%
Other values (2) 1421
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28688
76.2%
Dash Punctuation 7172
 
19.0%
Math Symbol 1793
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 10239
35.7%
0 7133
24.9%
1 3474
 
12.1%
3 2059
 
7.2%
4 1764
 
6.1%
6 929
 
3.2%
8 842
 
2.9%
7 827
 
2.9%
5 755
 
2.6%
9 666
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 7172
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1793
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37653
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 10239
27.2%
- 7172
19.0%
0 7133
18.9%
1 3474
 
9.2%
3 2059
 
5.5%
~ 1793
 
4.8%
4 1764
 
4.7%
6 929
 
2.5%
8 842
 
2.2%
7 827
 
2.2%
Other values (2) 1421
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37653
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 10239
27.2%
- 7172
19.0%
0 7133
18.9%
1 3474
 
9.2%
3 2059
 
5.5%
~ 1793
 
4.8%
4 1764
 
4.7%
6 929
 
2.5%
8 842
 
2.2%
7 827
 
2.2%
Other values (2) 1421
 
3.8%

주사무소도로명주소
Text

MISSING 

Distinct93
Distinct (%)5.2%
Missing313
Missing (%)15.0%
Memory size16.5 KiB
2024-01-10T04:46:06.312500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length24.414607
Min length18

Characters and Unicode

Total characters43458
Distinct characters157
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

Unique19 ?
Unique (%)1.1%

Sample

1st row충청남도 아산시 선장면 서부남로 101
2nd row충청남도 아산시 선장면 서부남로 101
3rd row충청남도 아산시 선장면 서부남로 101
4th row충청남도 아산시 선장면 서부남로 101
5th row충청남도 아산시 선장면 서부남로 101
ValueCountFrequency (%)
충청남도 1780
19.0%
아산시 1780
19.0%
영인면 355
 
3.8%
음봉면 342
 
3.7%
서부남로 316
 
3.4%
선장면 268
 
2.9%
101 266
 
2.8%
인주면 232
 
2.5%
음봉로586번길 190
 
2.0%
41-42 190
 
2.0%
Other values (200) 3635
38.9%
2024-01-10T04:46:06.670447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7574
 
17.4%
산 2379
 
5.5%
남 2186
 
5.0%
아 2152
 
5.0%
충 1828
 
4.2%
시 1787
 
4.1%
도 1783
 
4.1%
청 1780
 
4.1%
1 1610
 
3.7%
로 1421
 
3.3%
Other values (147) 18958
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27210
62.6%
Space Separator 7574
 
17.4%
Decimal Number 7109
 
16.4%
Dash Punctuation 612
 
1.4%
Open Punctuation 352
 
0.8%
Close Punctuation 352
 
0.8%
Other Punctuation 249
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 2379
 
8.7%
남 2186
 
8.0%
아 2152
 
7.9%
충 1828
 
6.7%
시 1787
 
6.6%
도 1783
 
6.6%
청 1780
 
6.5%
로 1421
 
5.2%
면 1374
 
5.0%
인 870
 
3.2%
Other values (132) 9650
35.5%
Decimal Number
ValueCountFrequency (%)
1 1610
22.6%
2 919
12.9%
4 757
10.6%
3 743
10.5%
5 649
9.1%
0 580
 
8.2%
6 572
 
8.0%
9 521
 
7.3%
8 492
 
6.9%
7 266
 
3.7%
Space Separator
ValueCountFrequency (%)
7574
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 612
100.0%
Open Punctuation
ValueCountFrequency (%)
( 352
100.0%
Close Punctuation
ValueCountFrequency (%)
) 352
100.0%
Other Punctuation
ValueCountFrequency (%)
, 249
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27210
62.6%
Common 16248
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 2379
 
8.7%
남 2186
 
8.0%
아 2152
 
7.9%
충 1828
 
6.7%
시 1787
 
6.6%
도 1783
 
6.6%
청 1780
 
6.5%
로 1421
 
5.2%
면 1374
 
5.0%
인 870
 
3.2%
Other values (132) 9650
35.5%
Common
ValueCountFrequency (%)
7574
46.6%
1 1610
 
9.9%
2 919
 
5.7%
4 757
 
4.7%
3 743
 
4.6%
5 649
 
4.0%
- 612
 
3.8%
0 580
 
3.6%
6 572
 
3.5%
9 521
 
3.2%
Other values (5) 1711
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27210
62.6%
ASCII 16248
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7574
46.6%
1 1610
 
9.9%
2 919
 
5.7%
4 757
 
4.7%
3 743
 
4.6%
5 649
 
4.0%
- 612
 
3.8%
0 580
 
3.6%
6 572
 
3.5%
9 521
 
3.2%
Other values (5) 1711
 
10.5%
Hangul
ValueCountFrequency (%)
산 2379
 
8.7%
남 2186
 
8.0%
아 2152
 
7.9%
충 1828
 
6.7%
시 1787
 
6.6%
도 1783
 
6.6%
청 1780
 
6.5%
로 1421
 
5.2%
면 1374
 
5.0%
인 870
 
3.2%
Other values (132) 9650
35.5%

주사무소지번주소
Text

MISSING 

Distinct80
Distinct (%)4.3%
Missing232
Missing (%)11.1%
Memory size16.5 KiB
2024-01-10T04:46:06.891894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length23.220849
Min length17

Characters and Unicode

Total characters43214
Distinct characters149
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

Unique12 ?
Unique (%)0.6%

Sample

1st row충청남도 아산시 선장면 선창리 232-1
2nd row충청남도 아산시 선장면 선창리 232-1
3rd row충청남도 아산시 선장면 선창리 232-1
4th row충청남도 아산시 선장면 선창리 232-1
5th row충청남도 아산시 선장면 선창리 232-1
ValueCountFrequency (%)
충청남도 1861
19.8%
아산시 1861
19.8%
영인면 348
 
3.7%
음봉면 339
 
3.6%
선장면 335
 
3.6%
선창리 333
 
3.5%
232-1 333
 
3.5%
인주면 267
 
2.8%
덕지리 190
 
2.0%
236 190
 
2.0%
Other values (161) 3342
35.6%
2024-01-10T04:46:07.220503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9357
21.7%
산 2086
 
4.8%
아 2021
 
4.7%
남 1935
 
4.5%
2 1907
 
4.4%
도 1864
 
4.3%
시 1863
 
4.3%
청 1862
 
4.3%
충 1861
 
4.3%
리 1729
 
4.0%
Other values (139) 16729
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25041
57.9%
Space Separator 9357
 
21.7%
Decimal Number 7303
 
16.9%
Dash Punctuation 1475
 
3.4%
Open Punctuation 18
 
< 0.1%
Close Punctuation 18
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 2086
 
8.3%
아 2021
 
8.1%
남 1935
 
7.7%
도 1864
 
7.4%
시 1863
 
7.4%
청 1862
 
7.4%
충 1861
 
7.4%
리 1729
 
6.9%
면 1458
 
5.8%
선 676
 
2.7%
Other values (124) 7686
30.7%
Decimal Number
ValueCountFrequency (%)
2 1907
26.1%
1 1536
21.0%
3 822
11.3%
4 691
 
9.5%
5 639
 
8.7%
6 422
 
5.8%
8 355
 
4.9%
9 349
 
4.8%
7 298
 
4.1%
0 284
 
3.9%
Space Separator
ValueCountFrequency (%)
9357
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1475
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25041
57.9%
Common 18173
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 2086
 
8.3%
아 2021
 
8.1%
남 1935
 
7.7%
도 1864
 
7.4%
시 1863
 
7.4%
청 1862
 
7.4%
충 1861
 
7.4%
리 1729
 
6.9%
면 1458
 
5.8%
선 676
 
2.7%
Other values (124) 7686
30.7%
Common
ValueCountFrequency (%)
9357
51.5%
2 1907
 
10.5%
1 1536
 
8.5%
- 1475
 
8.1%
3 822
 
4.5%
4 691
 
3.8%
5 639
 
3.5%
6 422
 
2.3%
8 355
 
2.0%
9 349
 
1.9%
Other values (5) 620
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25041
57.9%
ASCII 18173
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9357
51.5%
2 1907
 
10.5%
1 1536
 
8.5%
- 1475
 
8.1%
3 822
 
4.5%
4 691
 
3.8%
5 639
 
3.5%
6 422
 
2.3%
8 355
 
2.0%
9 349
 
1.9%
Other values (5) 620
 
3.4%
Hangul
ValueCountFrequency (%)
산 2086
 
8.3%
아 2021
 
8.1%
남 1935
 
7.7%
도 1864
 
7.4%
시 1863
 
7.4%
청 1862
 
7.4%
충 1861
 
7.4%
리 1729
 
6.9%
면 1458
 
5.8%
선 676
 
2.7%
Other values (124) 7686
30.7%

차고지지번주소
Text

MISSING 

Distinct82
Distinct (%)4.0%
Missing48
Missing (%)2.3%
Memory size16.5 KiB
2024-01-10T04:46:07.494851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length34
Mean length22.969193
Min length17

Characters and Unicode

Total characters46972
Distinct characters129
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

Unique13 ?
Unique (%)0.6%

Sample

1st row충청남도 아산시 선장면 선창리 232-1
2nd row충청남도 아산시 선장면 선창리 232-1
3rd row충청남도 아산시 선장면 선창리 232-1
4th row충청남도 아산시 선장면 선창리 232-1
5th row충청남도 아산시 선장면 선창리 232-1
ValueCountFrequency (%)
충청남도 1853
18.2%
아산시 1719
 
16.8%
선장면 465
 
4.6%
232-1 463
 
4.5%
선창리 463
 
4.5%
영인면 284
 
2.8%
음봉면 240
 
2.4%
인주면 177
 
1.7%
경기도 123
 
1.2%
염치읍 121
 
1.2%
Other values (197) 4301
42.1%
2024-01-10T04:46:07.882457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10209
21.7%
2 2083
 
4.4%
도 2069
 
4.4%
1 2042
 
4.3%
남 1946
 
4.1%
시 1941
 
4.1%
청 1885
 
4.0%
충 1872
 
4.0%
리 1840
 
3.9%
산 1829
 
3.9%
Other values (119) 19256
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26130
55.6%
Space Separator 10209
 
21.7%
Decimal Number 8514
 
18.1%
Dash Punctuation 1746
 
3.7%
Other Punctuation 148
 
0.3%
Close Punctuation 75
 
0.2%
Uppercase Letter 75
 
0.2%
Open Punctuation 75
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 2069
 
7.9%
남 1946
 
7.4%
시 1941
 
7.4%
청 1885
 
7.2%
충 1872
 
7.2%
리 1840
 
7.0%
산 1829
 
7.0%
아 1726
 
6.6%
면 1579
 
6.0%
선 928
 
3.6%
Other values (102) 8515
32.6%
Decimal Number
ValueCountFrequency (%)
2 2083
24.5%
1 2042
24.0%
4 958
11.3%
3 919
10.8%
5 750
 
8.8%
9 466
 
5.5%
6 457
 
5.4%
7 301
 
3.5%
8 282
 
3.3%
0 256
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 124
83.8%
. 24
 
16.2%
Space Separator
ValueCountFrequency (%)
10209
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1746
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26130
55.6%
Common 20767
44.2%
Latin 75
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 2069
 
7.9%
남 1946
 
7.4%
시 1941
 
7.4%
청 1885
 
7.2%
충 1872
 
7.2%
리 1840
 
7.0%
산 1829
 
7.0%
아 1726
 
6.6%
면 1579
 
6.0%
선 928
 
3.6%
Other values (102) 8515
32.6%
Common
ValueCountFrequency (%)
10209
49.2%
2 2083
 
10.0%
1 2042
 
9.8%
- 1746
 
8.4%
4 958
 
4.6%
3 919
 
4.4%
5 750
 
3.6%
9 466
 
2.2%
6 457
 
2.2%
7 301
 
1.4%
Other values (6) 836
 
4.0%
Latin
ValueCountFrequency (%)
M 75
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26130
55.6%
ASCII 20842
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10209
49.0%
2 2083
 
10.0%
1 2042
 
9.8%
- 1746
 
8.4%
4 958
 
4.6%
3 919
 
4.4%
5 750
 
3.6%
9 466
 
2.2%
6 457
 
2.2%
7 301
 
1.4%
Other values (7) 911
 
4.4%
Hangul
ValueCountFrequency (%)
도 2069
 
7.9%
남 1946
 
7.4%
시 1941
 
7.4%
청 1885
 
7.2%
충 1872
 
7.2%
리 1840
 
7.0%
산 1829
 
7.0%
아 1726
 
6.6%
면 1579
 
6.0%
선 928
 
3.6%
Other values (102) 8515
32.6%

임차시작일자
Date

MISSING 

Distinct101
Distinct (%)4.9%
Missing21
Missing (%)1.0%
Memory size16.5 KiB
Minimum1900-01-01 00:00:00
Maximum2022-11-08 00:00:00
2024-01-10T04:46:08.027158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:08.161651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

임차종료일자
Text

MISSING 

Distinct79
Distinct (%)5.5%
Missing669
Missing (%)32.0%
Memory size16.5 KiB
2024-01-10T04:46:08.369123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters14240
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

Unique13 ?
Unique (%)0.9%

Sample

1st row2029-02-27
2nd row2029-02-27
3rd row2029-02-27
4th row2029-02-27
5th row2029-02-27
ValueCountFrequency (%)
2031-11-30 222
 
15.6%
2022-12-31 111
 
7.8%
2027-10-17 90
 
6.3%
2031-12-31 82
 
5.8%
2028-12-31 79
 
5.5%
2028-04-30 55
 
3.9%
2064-01-09 44
 
3.1%
2021-03-12 39
 
2.7%
2032-02-01 37
 
2.6%
2025-04-29 37
 
2.6%
Other values (69) 628
44.1%
2024-01-10T04:46:08.644552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3492
24.5%
- 2848
20.0%
0 2789
19.6%
1 2195
15.4%
3 1417
10.0%
8 384
 
2.7%
9 275
 
1.9%
4 274
 
1.9%
7 256
 
1.8%
5 159
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11392
80.0%
Dash Punctuation 2848
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3492
30.7%
0 2789
24.5%
1 2195
19.3%
3 1417
12.4%
8 384
 
3.4%
9 275
 
2.4%
4 274
 
2.4%
7 256
 
2.2%
5 159
 
1.4%
6 151
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 2848
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14240
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3492
24.5%
- 2848
20.0%
0 2789
19.6%
1 2195
15.4%
3 1417
10.0%
8 384
 
2.7%
9 275
 
1.9%
4 274
 
1.9%
7 256
 
1.8%
5 159
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3492
24.5%
- 2848
20.0%
0 2789
19.6%
1 2195
15.4%
3 1417
10.0%
8 384
 
2.7%
9 275
 
1.9%
4 274
 
1.9%
7 256
 
1.8%
5 159
 
1.1%

Interactions

2024-01-10T04:46:02.294208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:01.836499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:02.044961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:02.380095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:01.898410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:02.115160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:02.478941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:01.975837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:02.203114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T04:46:08.725802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번차종총중량최대적재량차기허가신고기간주사무소도로명주소주사무소지번주소차고지지번주소임차종료일자
순번1.0000.6710.5700.5350.9780.9720.9840.9710.980
차종0.6711.0000.8790.8060.9150.9360.9280.9290.881
총중량0.5700.8791.0000.9260.8100.8410.8370.8210.837
최대적재량0.5350.8060.9261.0000.7880.8030.8020.7830.797
차기허가신고기간0.9780.9150.8100.7881.0000.9990.9990.9991.000
주사무소도로명주소0.9720.9360.8410.8030.9991.0001.0001.0001.000
주사무소지번주소0.9840.9280.8370.8020.9991.0001.0001.0001.000
차고지지번주소0.9710.9290.8210.7830.9991.0001.0001.0001.000
임차종료일자0.9800.8810.8370.7971.0001.0001.0001.0001.000
2024-01-10T04:46:08.825357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번총중량최대적재량차종
순번1.0000.053-0.0490.302
총중량0.0531.0000.8230.537
최대적재량-0.0490.8231.0000.427
차종0.3020.5370.4271.000

Missing values

2024-01-10T04:46:02.620763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T04:46:02.816502image/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.
2024-01-10T04:46:02.975581image/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

순번상호사업자구분사업의종류차명차종총중량최대적재량허가연월일차기허가신고기간주사무소도로명주소주사무소지번주소차고지지번주소임차시작일자임차종료일자
01동방기업㈜법인일반화물한국쓰리축4.5톤윙바디화물특수용도형-특수용도형대형1530045001994-06-072023-12-31~2024-03-30충청남도 아산시 선장면 서부남로 101충청남도 아산시 선장면 선창리 232-1충청남도 아산시 선장면 선창리 232-12019-02-282029-02-27
12동방기업㈜법인일반화물토미6.5톤와이드캡카고화물일반형-카고대형1480045001994-06-072023-12-31~2024-03-30충청남도 아산시 선장면 서부남로 101충청남도 아산시 선장면 선창리 232-1충청남도 아산시 선장면 선창리 232-12019-02-282029-02-27
23동방기업㈜법인일반화물우정2.4톤윙바디화물특수용도형-특수용도형중형731524001994-06-072023-12-31~2024-03-30충청남도 아산시 선장면 서부남로 101충청남도 아산시 선장면 선창리 232-1충청남도 아산시 선장면 선창리 232-12019-02-282029-02-27
34동방기업㈜법인일반화물대성2.4톤윙바디화물특수용도형-특수용도형중형740524001994-06-072023-12-31~2024-03-30충청남도 아산시 선장면 서부남로 101충청남도 아산시 선장면 선창리 232-1충청남도 아산시 선장면 선창리 232-12019-02-282029-02-27
45동방기업㈜법인일반화물한국쓰리축4.5톤트럭화물일반형-카고대형1289022001994-06-072023-12-31~2024-03-30충청남도 아산시 선장면 서부남로 101충청남도 아산시 선장면 선창리 232-1충청남도 아산시 선장면 선창리 232-12019-02-282029-02-27
56동방기업㈜법인일반화물우정2.4톤윙바디화물특수용도형-특수용도형중형731524001994-06-072023-12-31~2024-03-30충청남도 아산시 선장면 서부남로 101충청남도 아산시 선장면 선창리 232-1충청남도 아산시 선장면 선창리 232-12019-02-282029-02-27
67동방기업㈜법인일반화물마이티화물일반형-카고중형563519001994-06-072023-12-31~2024-03-30충청남도 아산시 선장면 서부남로 101충청남도 아산시 선장면 선창리 232-1충청남도 아산시 선장면 선창리 232-12019-02-282029-02-27
78동방기업㈜법인일반화물대성2.4톤윙바디화물특수용도형-특수용도형중형740524001994-06-072023-12-31~2024-03-30충청남도 아산시 선장면 서부남로 101충청남도 아산시 선장면 선창리 232-1충청남도 아산시 선장면 선창리 232-12019-02-282029-02-27
89동방기업㈜법인일반화물대성2.4톤윙바디화물특수용도형-특수용도형중형740524001994-06-072023-12-31~2024-03-30충청남도 아산시 선장면 서부남로 101충청남도 아산시 선장면 선창리 232-1충청남도 아산시 선장면 선창리 232-12019-02-282029-02-27
910동방기업㈜법인일반화물마이티화물일반형-카고중형563520001994-06-072023-12-31~2024-03-30충청남도 아산시 선장면 서부남로 101충청남도 아산시 선장면 선창리 232-1충청남도 아산시 선장면 선창리 232-12019-02-282029-02-27
순번상호사업자구분사업의종류차명차종총중량최대적재량허가연월일차기허가신고기간주사무소도로명주소주사무소지번주소차고지지번주소임차시작일자임차종료일자
20832084(주)엔케이상운법인일반화물현대19.5톤단축카고트럭(터보)화물일반형-카고대형31530150002016-10-102022-03-20~2022-06-19충청남도 아산시 신인남길 16 (신인동)충청남도 아산시 신인동 390-1충청남도 아산시 신인동 390-12021-06-222022-06-21
20842085(주)엔케이상운법인일반화물포멕25톤카고트럭화물일반형-카고대형36280205002016-10-102022-03-20~2022-06-19충청남도 아산시 신인남길 16 (신인동)충청남도 아산시 신인동 390-1충청남도 아산시 신인동 390-12021-06-222022-06-21
20852086(주)엔케이상운법인일반화물토미22톤암롤화물특수용도형-특수용도형대형36480220002016-10-102022-03-20~2022-06-19충청남도 아산시 신인남길 16 (신인동)충청남도 아산시 신인동 390-1충청남도 아산시 신인동 390-12021-06-222022-06-21
20862087(주)엔케이상운법인일반화물현대20.5톤초단축카고(터보)화물특수용도형-특수용도형대형31880155002016-10-102022-03-20~2022-06-19충청남도 아산시 신인남길 16 (신인동)충청남도 아산시 신인동 390-1충청남도 아산시 신인동 390-12021-06-222022-06-21
20872088(주)엔케이상운법인일반화물대우25톤장축카고트럭화물일반형-카고대형32770165002016-10-102022-03-20~2022-06-19충청남도 아산시 신인남길 16 (신인동)충청남도 아산시 신인동 390-1충청남도 아산시 신인동 390-12021-06-222022-06-21
20882089(주)엔케이상운법인일반화물한신울트라고소작업차특수특수용도형중형817002016-10-102022-03-20~2022-06-19충청남도 아산시 신인남길 16 (신인동)충청남도 아산시 신인동 390-1충청남도 아산시 신인동 390-12021-06-222022-06-21
20892090(주)한울운수법인일반화물프리마25톤장축카고트럭화물일반형-카고대형39100250002018-05-252023-07-04~2023-10-03충청남도 아산시 배방읍 희망로 32, 코아루웰메이드시티오피스텔 311호충청남도 아산시 배방읍 장재리 1719 , 코아루웰메이드시티오피스텔 311호세종특별자치시 부강면 갈산리 4702022-04-182023-04-17
20902091(주)한울운수법인일반화물엑시언트(XCIENT)화물일반형-카고대형39005207002018-05-252023-07-04~2023-10-03충청남도 아산시 배방읍 희망로 32, 코아루웰메이드시티오피스텔 311호충청남도 아산시 배방읍 장재리 1719 , 코아루웰메이드시티오피스텔 311호세종특별자치시 부강면 갈산리 4702022-04-182023-04-17
20912092(주)혜성물류법인일반화물한국상용7.5톤카고트럭화물일반형-카고대형<NA><NA>2013-01-17<NA>충청남도 아산시 음봉면 아산온천로 236, 302호충청남도 아산시 음봉면 신수리 291-3 아산온천인천광역시 중구 신흥동3가 702020-01-152021-01-14
20922093클린환경 주식회사법인일반화물한국쓰리축22톤암롤트럭화물특수용도형-특수용도형대형38780220002019-03-21<NA>충청남도 아산시 배방읍 북수동로 37, 현대자동차대리점충청남도 아산시 배방읍 북수리 1498 현대자동차대리점 2층충청북도 청주시 서원구 남이면 갈원리 24-1 및 252022-05-272023-05-26