Overview

Dataset statistics

Number of variables9
Number of observations47
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory77.8 B

Variable types

Numeric3
Categorical2
DateTime1
Text3

Dataset

Description충청남도 자동차관리사업체(해체재활용업) 현황으로써 (영업상태, 등록일, 관리번호, 상호, 주소 등) 에 대한 데이터 입니다.
URLhttps://www.data.go.kr/data/15074472/fileData.do

Alerts

상태정보 has constant value ""Constant
관리사업유형 has constant value ""Constant
대지면적 is highly overall correlated with 건물면적High correlation
건물면적 is highly overall correlated with 대지면적High correlation
순번 has unique valuesUnique
관리사업등록번호 has unique valuesUnique
사업자주소 has unique valuesUnique
대지면적 has unique valuesUnique
건물면적 has unique valuesUnique
건물면적 has 1 (2.1%) zerosZeros

Reproduction

Analysis started2023-12-12 12:52:04.612231
Analysis finished2023-12-12 12:52:06.437288
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T21:52:06.525787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.3
Q112.5
median24
Q335.5
95-th percentile44.7
Maximum47
Range46
Interquartile range (IQR)23

Descriptive statistics

Standard deviation13.711309
Coefficient of variation (CV)0.57130455
Kurtosis-1.2
Mean24
Median Absolute Deviation (MAD)12
Skewness0
Sum1128
Variance188
MonotonicityStrictly increasing
2023-12-12T21:52:06.709781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 1
 
2.1%
2 1
 
2.1%
27 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%
38 1
2.1%

상태정보
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
영업
47 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 47
100.0%

Length

2023-12-12T21:52:06.861927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:52:06.968148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 47
100.0%

등록년월일
Date

Distinct42
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum1985-06-04 00:00:00
Maximum2023-04-24 00:00:00
2023-12-12T21:52:07.079110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:52:07.253902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

관리사업등록번호
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T21:52:07.555727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters658
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st rowMG034424000001
2nd rowMG034413000004
3rd rowMG034410000006
4th rowMG034413001628
5th rowMG034415000001
ValueCountFrequency (%)
mg034424000001 1
 
2.1%
mg034413000003 1
 
2.1%
mg034427000006 1
 
2.1%
mg034415000006 1
 
2.1%
mg034410000003 1
 
2.1%
mg034415000005 1
 
2.1%
mg034416000001 1
 
2.1%
mg034420000003 1
 
2.1%
mg034419000254 1
 
2.1%
mg034415000007 1
 
2.1%
Other values (37) 37
78.7%
2023-12-12T21:52:07.998717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 257
39.1%
4 100
 
15.2%
3 64
 
9.7%
1 57
 
8.7%
M 47
 
7.1%
G 47
 
7.1%
2 33
 
5.0%
5 15
 
2.3%
6 15
 
2.3%
7 9
 
1.4%
Other values (2) 14
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 564
85.7%
Uppercase Letter 94
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 257
45.6%
4 100
 
17.7%
3 64
 
11.3%
1 57
 
10.1%
2 33
 
5.9%
5 15
 
2.7%
6 15
 
2.7%
7 9
 
1.6%
9 8
 
1.4%
8 6
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
M 47
50.0%
G 47
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 564
85.7%
Latin 94
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 257
45.6%
4 100
 
17.7%
3 64
 
11.3%
1 57
 
10.1%
2 33
 
5.9%
5 15
 
2.7%
6 15
 
2.7%
7 9
 
1.6%
9 8
 
1.4%
8 6
 
1.1%
Latin
ValueCountFrequency (%)
M 47
50.0%
G 47
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 658
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 257
39.1%
4 100
 
15.2%
3 64
 
9.7%
1 57
 
8.7%
M 47
 
7.1%
G 47
 
7.1%
2 33
 
5.0%
5 15
 
2.3%
6 15
 
2.3%
7 9
 
1.4%
Other values (2) 14
 
2.1%

사업자 상호(명칭)
Text

Distinct45
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T21:52:08.281749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length8.4042553
Min length5

Characters and Unicode

Total characters395
Distinct characters87
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

Unique43 ?
Unique (%)91.5%

Sample

1st row홍성폐차장
2nd row천안종합폐차장
3rd row(유)온양종합폐차장
4th row(유)온양종합폐차장
5th row서산폐차장
ValueCountFrequency (%)
주)논산종합폐차장 3
 
5.8%
유)온양종합폐차장 2
 
3.8%
주식회사 2
 
3.8%
아산폐차장 2
 
3.8%
정산종합모터스 1
 
1.9%
가인 1
 
1.9%
자동차해체재활용업 1
 
1.9%
천안폐차산업 1
 
1.9%
홍성폐차장 1
 
1.9%
주)백마공업사 1
 
1.9%
Other values (37) 37
71.2%
2023-12-12T21:52:08.718839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
차 40
 
10.1%
폐 33
 
8.4%
장 29
 
7.3%
산 24
 
6.1%
업 19
 
4.8%
주 16
 
4.1%
종 14
 
3.5%
합 14
 
3.5%
( 12
 
3.0%
) 12
 
3.0%
Other values (77) 182
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 366
92.7%
Open Punctuation 12
 
3.0%
Close Punctuation 12
 
3.0%
Space Separator 5
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 40
 
10.9%
폐 33
 
9.0%
장 29
 
7.9%
산 24
 
6.6%
업 19
 
5.2%
주 16
 
4.4%
종 14
 
3.8%
합 14
 
3.8%
해 8
 
2.2%
체 8
 
2.2%
Other values (74) 161
44.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
92.7%
Common 29
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 40
 
10.9%
폐 33
 
9.0%
장 29
 
7.9%
산 24
 
6.6%
업 19
 
5.2%
주 16
 
4.4%
종 14
 
3.8%
합 14
 
3.8%
해 8
 
2.2%
체 8
 
2.2%
Other values (74) 161
44.0%
Common
ValueCountFrequency (%)
( 12
41.4%
) 12
41.4%
5
17.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 366
92.7%
ASCII 29
 
7.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
차 40
 
10.9%
폐 33
 
9.0%
장 29
 
7.9%
산 24
 
6.6%
업 19
 
5.2%
주 16
 
4.4%
종 14
 
3.8%
합 14
 
3.8%
해 8
 
2.2%
체 8
 
2.2%
Other values (74) 161
44.0%
ASCII
ValueCountFrequency (%)
( 12
41.4%
) 12
41.4%
5
17.2%

사업자주소
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T21:52:09.052392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length33
Mean length23.829787
Min length16

Characters and Unicode

Total characters1120
Distinct characters127
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

Unique47 ?
Unique (%)100.0%

Sample

1st row충청남도 홍성군 홍성읍 대교리 50번지 7호 외 대교리 13-2
2nd row충청남도 천안시 서북구 두정공단2길 9, 외1필지(두정동)
3rd row충청남도 아산시 실옥동 255-4,-17,-18, 345-92 번지
4th row충청남도 아산시 실옥동 4호 255 4
5th row충청남도 서산시 음암면 중앙로 540-11
ValueCountFrequency (%)
충청남도 47
 
18.7%
아산시 9
 
3.6%
서산시 6
 
2.4%
논산시 5
 
2.0%
천안시 5
 
2.0%
실옥동 4
 
1.6%
당진시 3
 
1.2%
금산군 3
 
1.2%
공주시 3
 
1.2%
예산군 3
 
1.2%
Other values (148) 164
65.1%
2023-12-12T21:52:09.531839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
205
 
18.3%
남 51
 
4.6%
충 49
 
4.4%
청 48
 
4.3%
도 47
 
4.2%
1 44
 
3.9%
2 42
 
3.8%
산 34
 
3.0%
시 34
 
3.0%
3 26
 
2.3%
Other values (117) 540
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 663
59.2%
Decimal Number 209
 
18.7%
Space Separator 205
 
18.3%
Dash Punctuation 17
 
1.5%
Other Punctuation 12
 
1.1%
Open Punctuation 7
 
0.6%
Close Punctuation 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 51
 
7.7%
충 49
 
7.4%
청 48
 
7.2%
도 47
 
7.1%
산 34
 
5.1%
시 34
 
5.1%
면 21
 
3.2%
동 20
 
3.0%
로 20
 
3.0%
지 15
 
2.3%
Other values (101) 324
48.9%
Decimal Number
ValueCountFrequency (%)
1 44
21.1%
2 42
20.1%
3 26
12.4%
5 22
10.5%
9 15
 
7.2%
4 14
 
6.7%
7 14
 
6.7%
0 13
 
6.2%
6 12
 
5.7%
8 7
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 11
91.7%
/ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
205
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 663
59.2%
Common 457
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 51
 
7.7%
충 49
 
7.4%
청 48
 
7.2%
도 47
 
7.1%
산 34
 
5.1%
시 34
 
5.1%
면 21
 
3.2%
동 20
 
3.0%
로 20
 
3.0%
지 15
 
2.3%
Other values (101) 324
48.9%
Common
ValueCountFrequency (%)
205
44.9%
1 44
 
9.6%
2 42
 
9.2%
3 26
 
5.7%
5 22
 
4.8%
- 17
 
3.7%
9 15
 
3.3%
4 14
 
3.1%
7 14
 
3.1%
0 13
 
2.8%
Other values (6) 45
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 663
59.2%
ASCII 457
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
205
44.9%
1 44
 
9.6%
2 42
 
9.2%
3 26
 
5.7%
5 22
 
4.8%
- 17
 
3.7%
9 15
 
3.3%
4 14
 
3.1%
7 14
 
3.1%
0 13
 
2.8%
Other values (6) 45
 
9.8%
Hangul
ValueCountFrequency (%)
남 51
 
7.7%
충 49
 
7.4%
청 48
 
7.2%
도 47
 
7.1%
산 34
 
5.1%
시 34
 
5.1%
면 21
 
3.2%
동 20
 
3.0%
로 20
 
3.0%
지 15
 
2.3%
Other values (101) 324
48.9%

관리사업유형
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
자동차해체재활용업
47 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자동차해체재활용업 47
100.0%

Length

2023-12-12T21:52:09.682786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:52:09.765207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동차해체재활용업 47
100.0%

대지면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5002.5647
Minimum1123
Maximum10050
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T21:52:09.889388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1123
5-th percentile3038.8
Q13619.5
median4865
Q35823.55
95-th percentile9255
Maximum10050
Range8927
Interquartile range (IQR)2204.05

Descriptive statistics

Standard deviation1966.8791
Coefficient of variation (CV)0.39317415
Kurtosis0.77848364
Mean5002.5647
Median Absolute Deviation (MAD)1214.56
Skewness0.88306723
Sum235120.54
Variance3868613.5
MonotonicityNot monotonic
2023-12-12T21:52:10.040237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
8126.0 1
 
2.1%
4298.0 1
 
2.1%
5221.0 1
 
2.1%
9924.0 1
 
2.1%
3613.0 1
 
2.1%
7350.0 1
 
2.1%
3007.0 1
 
2.1%
3395.0 1
 
2.1%
5165.0 1
 
2.1%
3289.0 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
1123.0 1
2.1%
1983.0 1
2.1%
3007.0 1
2.1%
3113.0 1
2.1%
3126.0 1
2.1%
3128.0 1
2.1%
3228.0 1
2.1%
3289.0 1
2.1%
3300.0 1
2.1%
3395.0 1
2.1%
ValueCountFrequency (%)
10050.0 1
2.1%
9924.0 1
2.1%
9543.0 1
2.1%
8583.0 1
2.1%
8126.0 1
2.1%
7350.0 1
2.1%
7172.0 1
2.1%
6463.0 1
2.1%
6350.0 1
2.1%
6000.0 1
2.1%

건물면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean793.8166
Minimum0
Maximum1693
Zeros1
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T21:52:10.178364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile128.022
Q1415.165
median719
Q31057.5
95-th percentile1645.5
Maximum1693
Range1693
Interquartile range (IQR)642.335

Descriptive statistics

Standard deviation486.3179
Coefficient of variation (CV)0.61263257
Kurtosis-0.85514348
Mean793.8166
Median Absolute Deviation (MAD)318
Skewness0.39113292
Sum37309.38
Variance236505.1
MonotonicityNot monotonic
2023-12-12T21:52:10.351786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
612.0 1
 
2.1%
1693.0 1
 
2.1%
793.25 1
 
2.1%
1600.0 1
 
2.1%
805.12 1
 
2.1%
898.24 1
 
2.1%
294.0 1
 
2.1%
188.02 1
 
2.1%
1665.0 1
 
2.1%
655.0 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
0.0 1
2.1%
46.0 1
2.1%
115.5 1
2.1%
157.24 1
2.1%
188.02 1
2.1%
249.0 1
2.1%
264.9 1
2.1%
282.0 1
2.1%
294.0 1
2.1%
353.35 1
2.1%
ValueCountFrequency (%)
1693.0 1
2.1%
1682.0 1
2.1%
1665.0 1
2.1%
1600.0 1
2.1%
1568.0 1
2.1%
1559.4 1
2.1%
1485.0 1
2.1%
1415.04 1
2.1%
1394.44 1
2.1%
1363.71 1
2.1%

Interactions

2023-12-12T21:52:05.581465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:52:04.976077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:52:05.286039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:52:05.679375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:52:05.075191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:52:05.389427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:52:06.095411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:52:05.173689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:52:05.479136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:52:10.460029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록년월일관리사업등록번호사업자 상호(명칭)사업자주소대지면적건물면적
순번1.0001.0001.0001.0001.0000.0000.000
등록년월일1.0001.0001.0001.0001.0000.9020.671
관리사업등록번호1.0001.0001.0001.0001.0001.0001.000
사업자 상호(명칭)1.0001.0001.0001.0001.0001.0000.799
사업자주소1.0001.0001.0001.0001.0001.0001.000
대지면적0.0000.9021.0001.0001.0001.0000.084
건물면적0.0000.6711.0000.7991.0000.0841.000
2023-12-12T21:52:10.585265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번대지면적건물면적
순번1.0000.1360.251
대지면적0.1361.0000.545
건물면적0.2510.5451.000

Missing values

2023-12-12T21:52:06.215281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:52:06.377781image/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

순번상태정보등록년월일관리사업등록번호사업자 상호(명칭)사업자주소관리사업유형대지면적건물면적
01영업1985-06-04MG034424000001홍성폐차장충청남도 홍성군 홍성읍 대교리 50번지 7호 외 대교리 13-2자동차해체재활용업8126.0612.0
12영업1987-09-17MG034413000004천안종합폐차장충청남도 천안시 서북구 두정공단2길 9, 외1필지(두정동)자동차해체재활용업4298.01693.0
23영업1993-12-23MG034410000006(유)온양종합폐차장충청남도 아산시 실옥동 255-4,-17,-18, 345-92 번지자동차해체재활용업3113.0353.35
34영업1993-12-23MG034413001628(유)온양종합폐차장충청남도 아산시 실옥동 4호 255 4자동차해체재활용업3469.01080.0
45영업1994-09-01MG034415000001서산폐차장충청남도 서산시 음암면 중앙로 540-11자동차해체재활용업3685.0157.24
56영업1995-01-09MG034427000001당진종합폐차장충청남도 당진시 아미로 557(용연동)자동차해체재활용업3128.0282.0
67영업1995-12-07MG034411000003보령자동차재활용해체산업충청남도 보령시 주교면 보령북로 429자동차해체재활용업4692.0249.0
78영업1996-05-03MG034416000007동진산업(주)충청남도 금산군 복수면 다복로 302자동차해체재활용업5381.0923.98
89영업1998-04-13MG034419000258연무폐차장충청남도 논산시 연무읍 안심리 557, 557-5자동차해체재활용업7172.0650.4
910영업1998-07-03MG034411000002대천자동차해체재활용충청남도 보령시 대천동 1196번지 외3자동차해체재활용업6463.01363.71
순번상태정보등록년월일관리사업등록번호사업자 상호(명칭)사업자주소관리사업유형대지면적건물면적
3738영업2013-10-11MG034419000255(주)논산종합폐차장충청남도 논산시 지산동 749자동차해체재활용업5289.0679.0
3839영업2013-10-11MG034419000257(주)논산종합폐차장 부여영업소충청남도 부여군 규암면 흥수로 792자동차해체재활용업1983.01004.0
3940영업2013-10-11MG034419000256(주)논산종합폐차장 공주영업소충청남도 공주시 금흥동 246번지 19호자동차해체재활용업1123.046.0
4041영업2014-01-27MG034415000009주식회사 가인충청남도 서산시 음암면 탑곡송내길 56-11자동차해체재활용업10050.01485.0
4142영업2015-04-28MG034422000001정산종합모터스충청남도 청양군 정산면 신덕리 42번지자동차해체재활용업5337.01250.0
4243영업2016-06-08MG034413001631(주)알비오토충청남도 천안시 동남구 풍세면 태학산로 82자동차해체재활용업8583.01568.0
4344영업2016-08-17MG034410000008대운종합폐차산업충청남도 아산시 염치읍 송곡길 157자동차해체재활용업5942.01559.4
4445영업2020-01-16MG034423000128신례원종합폐차장충청남도 예산군 예산읍 창신로 12자동차해체재활용업4523.01415.04
4546영업2022-12-07MG034427000007(주)엠케이오토산업 자동차해체재활용업충청남도 당진시 송악읍 중흥새마을길 30-6자동차해체재활용업5261.0719.0
4647영업2023-04-24MG034416000010금산폐차산업충청남도 금산군 금성면 잔실길 53자동차해체재활용업9543.0987.67