Overview

Dataset statistics

Number of variables6
Number of observations7702
Missing cells5268
Missing cells (%)11.4%
Duplicate rows25
Duplicate rows (%)0.3%
Total size in memory376.2 KiB
Average record size in memory50.0 B

Variable types

Categorical2
Text2
Numeric2

Dataset

Description일반화물(운송사업)업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=1O6YHFRBG66988D174MS1161187&infSeq=1

Alerts

Dataset has 25 (0.3%) duplicate rowsDuplicates
폐업일자 is highly overall correlated with 영업상태명High correlation
영업상태명 is highly overall correlated with 폐업일자High correlation
폐업일자 has 5254 (68.2%) missing valuesMissing

Reproduction

Analysis started2023-12-10 22:32:07.629339
Analysis finished2023-12-10 22:32:09.363829
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size60.3 KiB
평택시
686 
안산시
583 
화성시
567 
시흥시
552 
용인시
531 
Other values (26)
4783 

Length

Max length4
Median length3
Mean length3.0528434
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평택시 686
 
8.9%
안산시 583
 
7.6%
화성시 567
 
7.4%
시흥시 552
 
7.2%
용인시 531
 
6.9%
수원시 496
 
6.4%
부천시 328
 
4.3%
안양시 325
 
4.2%
성남시 314
 
4.1%
이천시 271
 
3.5%
Other values (21) 3049
39.6%

Length

2023-12-11T07:32:09.440772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
평택시 686
 
8.9%
안산시 583
 
7.6%
화성시 567
 
7.4%
시흥시 552
 
7.2%
용인시 531
 
6.9%
수원시 496
 
6.4%
부천시 328
 
4.3%
안양시 325
 
4.2%
성남시 314
 
4.1%
이천시 271
 
3.5%
Other values (21) 3049
39.6%

사업장명
Text

Distinct6275
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Memory size60.3 KiB
2023-12-11T07:32:09.657121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length6.4867567
Min length1

Characters and Unicode

Total characters49961
Distinct characters555
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5454 ?
Unique (%)70.8%

Sample

1st row경기90아2937
2nd row상하운수
3rd row유승현
4th row(주)아성이엔씨
5th row경기99사3116
ValueCountFrequency (%)
일반화물 159
 
2.0%
101
 
1.3%
개인사업자 95
 
1.2%
주식회사 32
 
0.4%
운수 25
 
0.3%
일반화물자동차 20
 
0.3%
서울유통공동 16
 
0.2%
주)에이치엔상민통운 15
 
0.2%
삼칠특수 13
 
0.2%
주)제이엠로지스 10
 
0.1%
Other values (6330) 7432
93.9%
2023-12-11T07:32:10.096312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 3503
 
7.0%
) 3503
 
7.0%
주 3054
 
6.1%
스 1494
 
3.0%
물 1251
 
2.5%
이 1134
 
2.3%
기 1055
 
2.1%
경 1036
 
2.1%
9 1025
 
2.1%
수 1025
 
2.1%
Other values (545) 31881
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37062
74.2%
Decimal Number 4772
 
9.6%
Open Punctuation 3504
 
7.0%
Close Punctuation 3504
 
7.0%
Other Symbol 437
 
0.9%
Space Separator 414
 
0.8%
Dash Punctuation 109
 
0.2%
Other Punctuation 89
 
0.2%
Uppercase Letter 67
 
0.1%
Modifier Symbol 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 3054
 
8.2%
스 1494
 
4.0%
물 1251
 
3.4%
이 1134
 
3.1%
기 1055
 
2.8%
경 1036
 
2.8%
수 1025
 
2.8%
운 930
 
2.5%
지 895
 
2.4%
로 799
 
2.2%
Other values (504) 24389
65.8%
Uppercase Letter
ValueCountFrequency (%)
S 13
19.4%
K 9
13.4%
T 8
11.9%
N 8
11.9%
J 5
 
7.5%
I 4
 
6.0%
O 3
 
4.5%
Y 3
 
4.5%
L 3
 
4.5%
H 2
 
3.0%
Other values (6) 9
13.4%
Decimal Number
ValueCountFrequency (%)
9 1025
21.5%
8 775
16.2%
1 428
9.0%
4 422
8.8%
2 408
 
8.5%
3 385
 
8.1%
6 375
 
7.9%
5 358
 
7.5%
0 337
 
7.1%
7 259
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 36
40.4%
/ 27
30.3%
. 24
27.0%
& 1
 
1.1%
: 1
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 3503
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 3503
> 99.9%
] 1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
㈜ 437
100.0%
Space Separator
ValueCountFrequency (%)
414
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37499
75.1%
Common 12394
 
24.8%
Latin 68
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3054
 
8.1%
스 1494
 
4.0%
물 1251
 
3.3%
이 1134
 
3.0%
기 1055
 
2.8%
경 1036
 
2.8%
수 1025
 
2.7%
운 930
 
2.5%
지 895
 
2.4%
로 799
 
2.1%
Other values (505) 24826
66.2%
Common
ValueCountFrequency (%)
( 3503
28.3%
) 3503
28.3%
9 1025
 
8.3%
8 775
 
6.3%
1 428
 
3.5%
4 422
 
3.4%
414
 
3.3%
2 408
 
3.3%
3 385
 
3.1%
6 375
 
3.0%
Other values (13) 1156
 
9.3%
Latin
ValueCountFrequency (%)
S 13
19.1%
K 9
13.2%
T 8
11.8%
N 8
11.8%
J 5
 
7.4%
I 4
 
5.9%
O 3
 
4.4%
Y 3
 
4.4%
L 3
 
4.4%
H 2
 
2.9%
Other values (7) 10
14.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37062
74.2%
ASCII 12462
 
24.9%
None 437
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 3503
28.1%
) 3503
28.1%
9 1025
 
8.2%
8 775
 
6.2%
1 428
 
3.4%
4 422
 
3.4%
414
 
3.3%
2 408
 
3.3%
3 385
 
3.1%
6 375
 
3.0%
Other values (30) 1224
 
9.8%
Hangul
ValueCountFrequency (%)
주 3054
 
8.2%
스 1494
 
4.0%
물 1251
 
3.4%
이 1134
 
3.1%
기 1055
 
2.8%
경 1036
 
2.8%
수 1025
 
2.8%
운 930
 
2.5%
지 895
 
2.4%
로 799
 
2.2%
Other values (504) 24389
65.8%
None
ValueCountFrequency (%)
㈜ 437
100.0%

인허가일자
Real number (ℝ)

Distinct3521
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20082853
Minimum19520114
Maximum20180903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size67.8 KiB
2023-12-11T07:32:10.257785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19520114
5-th percentile19960909
Q120051123
median20090910
Q320130715
95-th percentile20171109
Maximum20180903
Range660789
Interquartile range (IQR)79592

Descriptive statistics

Standard deviation72469.95
Coefficient of variation (CV)0.0036085485
Kurtosis8.9086555
Mean20082853
Median Absolute Deviation (MAD)39798.5
Skewness-2.0371485
Sum1.5467813 × 1011
Variance5.2518936 × 109
MonotonicityNot monotonic
2023-12-11T07:32:10.705257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040119 17
 
0.2%
19930119 15
 
0.2%
20090609 12
 
0.2%
20090519 12
 
0.2%
19620702 12
 
0.2%
20080110 11
 
0.1%
20080526 11
 
0.1%
19951221 11
 
0.1%
20060315 10
 
0.1%
20140407 10
 
0.1%
Other values (3511) 7581
98.4%
ValueCountFrequency (%)
19520114 1
 
< 0.1%
19560829 4
 
0.1%
19611213 2
 
< 0.1%
19611215 1
 
< 0.1%
19620529 1
 
< 0.1%
19620615 1
 
< 0.1%
19620621 1
 
< 0.1%
19620702 12
0.2%
19620706 1
 
< 0.1%
19620807 1
 
< 0.1%
ValueCountFrequency (%)
20180903 1
 
< 0.1%
20180901 1
 
< 0.1%
20180831 1
 
< 0.1%
20180830 3
< 0.1%
20180828 1
 
< 0.1%
20180823 1
 
< 0.1%
20180822 2
< 0.1%
20180821 3
< 0.1%
20180820 2
< 0.1%
20180817 1
 
< 0.1%

영업상태명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size60.3 KiB
운영중
5254 
폐업 등
2448 

Length

Max length4
Median length3
Mean length3.3178395
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 5254
68.2%
폐업 등 2448
31.8%

Length

2023-12-11T07:32:10.877580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:32:11.007463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 5254
51.8%
폐업 2448
24.1%
등 2448
24.1%

폐업일자
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1385
Distinct (%)56.6%
Missing5254
Missing (%)68.2%
Infinite0
Infinite (%)0.0%
Mean20143675
Minimum20060505
Maximum20180827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size67.8 KiB
2023-12-11T07:32:11.153178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060505
5-th percentile20100426
Q120121009
median20150318
Q320161123
95-th percentile20180417
Maximum20180827
Range120322
Interquartile range (IQR)40114.5

Descriptive statistics

Standard deviation25629.689
Coefficient of variation (CV)0.0012723442
Kurtosis-0.86245256
Mean20143675
Median Absolute Deviation (MAD)19899
Skewness-0.42777468
Sum4.9311717 × 1010
Variance6.5688097 × 108
MonotonicityNot monotonic
2023-12-11T07:32:11.331132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170922 31
 
0.4%
20141212 19
 
0.2%
20171017 15
 
0.2%
20160308 15
 
0.2%
20130423 13
 
0.2%
20180703 13
 
0.2%
20161107 11
 
0.1%
20170923 10
 
0.1%
20160315 9
 
0.1%
20140529 9
 
0.1%
Other values (1375) 2303
29.9%
(Missing) 5254
68.2%
ValueCountFrequency (%)
20060505 1
< 0.1%
20061128 1
< 0.1%
20080807 2
< 0.1%
20081223 1
< 0.1%
20081224 1
< 0.1%
20090116 1
< 0.1%
20090317 1
< 0.1%
20090320 1
< 0.1%
20090330 1
< 0.1%
20090402 1
< 0.1%
ValueCountFrequency (%)
20180827 3
< 0.1%
20180824 1
 
< 0.1%
20180823 1
 
< 0.1%
20180822 3
< 0.1%
20180820 1
 
< 0.1%
20180817 1
 
< 0.1%
20180814 1
 
< 0.1%
20180809 2
< 0.1%
20180808 1
 
< 0.1%
20180807 2
< 0.1%

소재지지번주소
Text

Distinct6220
Distinct (%)80.9%
Missing14
Missing (%)0.2%
Memory size60.3 KiB
2023-12-11T07:32:11.696241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length48
Mean length30.508325
Min length10

Characters and Unicode

Total characters234548
Distinct characters580
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5303 ?
Unique (%)69.0%

Sample

1st row경기도 가평군 청평면 상천리 1122-9번지 12통4반
2nd row경기도 가평군 하면 현리 258-15번지 4통7반
3rd row경기도 가평군 가평읍 마장리 359번지 62통4반
4th row경기도 가평군 청평면 청평리 301-4번지 네오오피스텔 608호
5th row경기도 가평군 가평읍 읍내리 595번지 4통6반 에덴빌라 가동 302호
ValueCountFrequency (%)
경기도 7685
 
15.8%
평택시 685
 
1.4%
안산시 583
 
1.2%
화성시 566
 
1.2%
시흥시 552
 
1.1%
용인시 528
 
1.1%
수원시 495
 
1.0%
정왕동 332
 
0.7%
부천시 328
 
0.7%
안양시 324
 
0.7%
Other values (8637) 36423
75.1%
2023-12-11T07:32:12.197103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40866
 
17.4%
1 12028
 
5.1%
동 8806
 
3.8%
시 8319
 
3.5%
도 8047
 
3.4%
기 8015
 
3.4%
경 7755
 
3.3%
0 7713
 
3.3%
2 7407
 
3.2%
지 6768
 
2.9%
Other values (570) 118824
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134393
57.3%
Decimal Number 53976
23.0%
Space Separator 40866
 
17.4%
Dash Punctuation 4411
 
1.9%
Uppercase Letter 528
 
0.2%
Open Punctuation 134
 
0.1%
Close Punctuation 133
 
0.1%
Other Punctuation 58
 
< 0.1%
Lowercase Letter 43
 
< 0.1%
Letter Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 8806
 
6.6%
시 8319
 
6.2%
도 8047
 
6.0%
기 8015
 
6.0%
경 7755
 
5.8%
지 6768
 
5.0%
번 6082
 
4.5%
호 4190
 
3.1%
통 3757
 
2.8%
반 3025
 
2.3%
Other values (514) 69629
51.8%
Uppercase Letter
ValueCountFrequency (%)
B 117
22.2%
A 96
18.2%
C 46
 
8.7%
S 37
 
7.0%
L 36
 
6.8%
T 34
 
6.4%
I 30
 
5.7%
K 28
 
5.3%
D 23
 
4.4%
E 19
 
3.6%
Other values (10) 62
11.7%
Lowercase Letter
ValueCountFrequency (%)
e 25
58.1%
s 2
 
4.7%
k 2
 
4.7%
v 2
 
4.7%
i 2
 
4.7%
w 2
 
4.7%
b 2
 
4.7%
c 2
 
4.7%
r 1
 
2.3%
a 1
 
2.3%
Other values (2) 2
 
4.7%
Decimal Number
ValueCountFrequency (%)
1 12028
22.3%
0 7713
14.3%
2 7407
13.7%
3 5867
10.9%
4 4706
 
8.7%
5 4365
 
8.1%
6 3455
 
6.4%
7 3200
 
5.9%
8 2756
 
5.1%
9 2479
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 30
51.7%
. 9
 
15.5%
@ 8
 
13.8%
？ 4
 
6.9%
? 4
 
6.9%
/ 2
 
3.4%
& 1
 
1.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅲ 2
40.0%
Space Separator
ValueCountFrequency (%)
40866
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4411
100.0%
Open Punctuation
ValueCountFrequency (%)
( 134
100.0%
Close Punctuation
ValueCountFrequency (%)
) 133
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134393
57.3%
Common 99579
42.5%
Latin 576
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 8806
 
6.6%
시 8319
 
6.2%
도 8047
 
6.0%
기 8015
 
6.0%
경 7755
 
5.8%
지 6768
 
5.0%
번 6082
 
4.5%
호 4190
 
3.1%
통 3757
 
2.8%
반 3025
 
2.3%
Other values (514) 69629
51.8%
Latin
ValueCountFrequency (%)
B 117
20.3%
A 96
16.7%
C 46
 
8.0%
S 37
 
6.4%
L 36
 
6.2%
T 34
 
5.9%
I 30
 
5.2%
K 28
 
4.9%
e 25
 
4.3%
D 23
 
4.0%
Other values (24) 104
18.1%
Common
ValueCountFrequency (%)
40866
41.0%
1 12028
 
12.1%
0 7713
 
7.7%
2 7407
 
7.4%
3 5867
 
5.9%
4 4706
 
4.7%
- 4411
 
4.4%
5 4365
 
4.4%
6 3455
 
3.5%
7 3200
 
3.2%
Other values (12) 5561
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134393
57.3%
ASCII 100146
42.7%
Number Forms 5
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40866
40.8%
1 12028
 
12.0%
0 7713
 
7.7%
2 7407
 
7.4%
3 5867
 
5.9%
4 4706
 
4.7%
- 4411
 
4.4%
5 4365
 
4.4%
6 3455
 
3.4%
7 3200
 
3.2%
Other values (43) 6128
 
6.1%
Hangul
ValueCountFrequency (%)
동 8806
 
6.6%
시 8319
 
6.2%
도 8047
 
6.0%
기 8015
 
6.0%
경 7755
 
5.8%
지 6768
 
5.0%
번 6082
 
4.5%
호 4190
 
3.1%
통 3757
 
2.8%
반 3025
 
2.3%
Other values (514) 69629
51.8%
None
ValueCountFrequency (%)
？ 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅲ 2
40.0%

Interactions

2023-12-11T07:32:08.778051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:08.585277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:08.889086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:08.677548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:32:12.322694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명인허가일자영업상태명폐업일자
시군명1.0000.3080.2120.431
인허가일자0.3081.0000.2280.545
영업상태명0.2120.2281.000NaN
폐업일자0.4310.545NaN1.000
2023-12-11T07:32:12.433879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명영업상태명
시군명1.0000.180
영업상태명0.1801.000
2023-12-11T07:32:12.514987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가일자폐업일자시군명영업상태명
인허가일자1.0000.2720.1130.175
폐업일자0.2721.0000.1651.000
시군명0.1130.1651.0000.180
영업상태명0.1751.0000.1801.000

Missing values

2023-12-11T07:32:09.059253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:32:09.198559image/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.
2023-12-11T07:32:09.303836image/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

시군명사업장명인허가일자영업상태명폐업일자소재지지번주소
0가평군경기90아293720081222운영중<NA>경기도 가평군 청평면 상천리 1122-9번지 12통4반
1가평군상하운수19980901운영중<NA>경기도 가평군 하면 현리 258-15번지 4통7반
2가평군유승현20160718운영중<NA>경기도 가평군 가평읍 마장리 359번지 62통4반
3가평군(주)아성이엔씨20160128운영중<NA>경기도 가평군 청평면 청평리 301-4번지 네오오피스텔 608호
4가평군경기99사311620110418운영중<NA>경기도 가평군 가평읍 읍내리 595번지 4통6반 에덴빌라 가동 302호
5가평군(경기99사3130)20111103운영중<NA>경기도 가평군 청평면 청평리 9통1반 청구아파트 101동 1602호
6가평군(주)이명전기20160105운영중<NA>경기도 가평군 설악면 신천리 120-3번지 온누리감초약국
7가평군유로지스(주)20170516운영중<NA>경기도 가평군 가평읍 읍내리 749-5번지 2층 201호 송가네숯불구이
8가평군태진종합전기(주)20110901운영중<NA>경기도 가평군 청평면 청평리 301-4번지 네오오피스텔 6층 602호
9가평군김학문20080602운영중<NA>경기도 가평군 청평면 상천리 305번지 14통1반
시군명사업장명인허가일자영업상태명폐업일자소재지지번주소
7692화성시중정산업(주)20110318폐업 등20130814경기도 화성시 비봉면 양노리 759-2번지
7693화성시(주)한독카본20080821폐업 등20120727경기도 화성시 팔탄면 하저리 934-28번지 10통4반
7694화성시(주)대원20010921폐업 등20140114경기도 화성시 비봉면 양노리 759-7번지
7695화성시일반화물(이제희)20110318폐업 등20111212경기도 화성시 송산동 172-7번지 3통
7696화성시이상우20090803폐업 등20120615경기도 화성시 기산동 464번지 21통행림마을 래미안1차아파트 107동 1203호
7697화성시(주)거산물류20140722폐업 등20150303경기도 화성시 우정읍 이화리 1086-1번지
7698화성시태성하이기업20030821폐업 등20090921경기도 화성시 남양읍 남양리 1874 윤인빌딩 4층 402호
7699화성시세호통산(주)19990428폐업 등20130513경기도 화성시 팔탄면 율암리 580-9번지
7700화성시(일반화물)곽병구20051028폐업 등20130619경기도 화성시 병점동 848번지 9통안화동마을주공아파트 803동 1701호
7701화성시일반화물(정준호)20110516폐업 등20120918경기도 화성시 정남면 수면리 162번지 33통

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태명폐업일자소재지지번주소# duplicates
0고양시-20100504폐업 등20170614경기도 고양시 덕양구 행신동 27통2반 B05호2
1고양시유영근20160126폐업 등20170609경기도 고양시 덕양구 화정동 936번지 26통2반 은빛마을 614동 1901호2
2과천시(주)케이에스더블유홀딩스20060315폐업 등20161107경기도 과천시 과천동 513-4번지2
3동두천시이용선20140407폐업 등20160408경기도 동두천시 생연동 445-6번지 20통7반2
4성남시(주)케이지엘20021111폐업 등20160822경기도 성남시 중원구 도촌동 589번지 (지층)2
5성남시김종주20080604운영중<NA>경기도 성남시 분당구 판교동 494번지 14통7반 판교원마을 1207동 902호2
6수원시경기99아750420090626폐업 등20160429경기도 수원시 장안구 이목동 42통4반 수원장안 STX KAN 2단지 아파트 111동 1004호2
7수원시김명용20110209폐업 등20160429경기도 수원시 권선구 고색동 368-1번지 8통2반 대한아파트 104동 1606호2
8시흥시정환운수(주)20080110폐업 등20140529경기도 시흥시 정왕동 1733-5번지 로얄퍼스트빌 203호2
9안산시(주)인성로지스틱20101015폐업 등20130423경기도 안산시 단원구 성곡동 717-11번지 시화공단4바 207호2