Overview

Dataset statistics

Number of variables15
Number of observations137
Missing cells497
Missing cells (%)24.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.0 KiB
Average record size in memory127.0 B

Variable types

Categorical5
Numeric4
DateTime6

Dataset

Description자동차관리법 및 자동차종합검사 시행등에 관한 규칙에 따라 한국교통안전공단(KOTSA)에서 관리하는 자동차검사 자료입니다.
URLhttps://www.data.go.kr/data/15088044/fileData.do

Alerts

차종 is highly overall correlated with 검사방법코드 and 2 other fieldsHigh correlation
기준값4 is highly overall correlated with 일련번호 and 7 other fieldsHigh correlation
사용연료별구분 is highly overall correlated with 기준값1 and 2 other fieldsHigh correlation
검사방법코드 is highly overall correlated with 기준값1 and 5 other fieldsHigh correlation
기준값5 is highly overall correlated with 일련번호 and 7 other fieldsHigh correlation
일련번호 is highly overall correlated with 기준값1 and 2 other fieldsHigh correlation
기준값1 is highly overall correlated with 일련번호 and 4 other fieldsHigh correlation
기준값2 is highly overall correlated with 검사방법코드 and 2 other fieldsHigh correlation
기준값3 is highly overall correlated with 검사방법코드 and 2 other fieldsHigh correlation
제작시작일자 has 45 (32.8%) missing valuesMissing
제작종료일자 has 58 (42.3%) missing valuesMissing
적용시작일자 has 106 (77.4%) missing valuesMissing
적용종료일자 has 110 (80.3%) missing valuesMissing
기준값2 has 50 (36.5%) missing valuesMissing
기준값3 has 50 (36.5%) missing valuesMissing
수정일시 has 78 (56.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:51:02.186564
Analysis finished2023-12-12 16:51:05.176526
Duration2.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

검사방법코드
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
부하검사(ASMTSI5TSI5)
76 
TSI
61 

Length

Max length17
Median length17
Mean length10.766423
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부하검사(ASMTSI5TSI5)
2nd row부하검사(ASMTSI5TSI5)
3rd row부하검사(ASMTSI5TSI5)
4th row부하검사(ASMTSI5TSI5)
5th row부하검사(ASMTSI5TSI5)

Common Values

ValueCountFrequency (%)
부하검사(ASMTSI5TSI5) 76
55.5%
TSI 61
44.5%

Length

2023-12-13T01:51:05.248197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:51:05.395718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부하검사(asmtsi5tsi5 76
55.5%
tsi 61
44.5%

사용연료별구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
휘발유
78 
경유
58 
3
 
1

Length

Max length3
Median length3
Mean length2.5620438
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
휘발유 78
56.9%
경유 58
42.3%
3 1
 
0.7%

Length

2023-12-13T01:51:05.546864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:51:05.674814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휘발유 78
56.9%
경유 58
42.3%
3 1
 
0.7%

일련번호
Real number (ℝ)

HIGH CORRELATION 

Distinct77
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.627737
Minimum1
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T01:51:05.807182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q114
median24
Q343
95-th percentile72.2
Maximum79
Range78
Interquartile range (IQR)29

Descriptive statistics

Standard deviation21.190317
Coefficient of variation (CV)0.69186687
Kurtosis-0.54392095
Mean30.627737
Median Absolute Deviation (MAD)13
Skewness0.73527919
Sum4196
Variance449.02952
MonotonicityNot monotonic
2023-12-13T01:51:05.991085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 4
 
2.9%
21 4
 
2.9%
7 4
 
2.9%
20 4
 
2.9%
19 4
 
2.9%
13 4
 
2.9%
22 4
 
2.9%
18 3
 
2.2%
5 3
 
2.2%
23 3
 
2.2%
Other values (67) 100
73.0%
ValueCountFrequency (%)
1 1
 
0.7%
2 1
 
0.7%
3 1
 
0.7%
4 2
1.5%
5 3
2.2%
6 4
2.9%
7 4
2.9%
8 3
2.2%
9 2
1.5%
10 2
1.5%
ValueCountFrequency (%)
79 1
0.7%
78 1
0.7%
77 1
0.7%
76 1
0.7%
75 1
0.7%
74 1
0.7%
73 1
0.7%
72 1
0.7%
71 1
0.7%
70 1
0.7%

차종
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
승용자동차
29 
화물자동차
19 
승합자동차
19 
전차종
16 
중량자동차
9 
Other values (13)
45 

Length

Max length8
Median length5
Mean length4.5766423
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승용자동차 29
21.2%
화물자동차 19
13.9%
승합자동차 19
13.9%
전차종 16
11.7%
중량자동차 9
 
6.6%
경자동차 9
 
6.6%
중형자동차 5
 
3.6%
소형화물자동차 5
 
3.6%
승용3 3
 
2.2%
승용2 3
 
2.2%
Other values (8) 20
14.6%

Length

2023-12-13T01:51:06.187963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승용자동차 29
21.2%
승합자동차 19
13.9%
화물자동차 19
13.9%
전차종 16
11.7%
중량자동차 9
 
6.6%
경자동차 9
 
6.6%
중형자동차 5
 
3.6%
소형화물자동차 5
 
3.6%
대형자동차 3
 
2.2%
다목적자동차 3
 
2.2%
Other values (8) 20
14.6%

제작시작일자
Date

MISSING 

Distinct7
Distinct (%)7.6%
Missing45
Missing (%)32.8%
Memory size1.2 KiB
Minimum1988-01-01 00:00:00
Maximum2008-01-01 00:00:00
2023-12-13T01:51:06.328146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:06.438419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

제작종료일자
Date

MISSING 

Distinct7
Distinct (%)8.9%
Missing58
Missing (%)42.3%
Memory size1.2 KiB
Minimum1987-12-31 00:00:00
Maximum2007-12-31 00:00:00
2023-12-13T01:51:06.545026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:06.655232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

적용시작일자
Date

MISSING 

Distinct3
Distinct (%)9.7%
Missing106
Missing (%)77.4%
Memory size1.2 KiB
Minimum2004-01-01 00:00:00
Maximum2007-07-01 00:00:00
2023-12-13T01:51:06.802291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:06.935198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

적용종료일자
Date

MISSING 

Distinct2
Distinct (%)7.4%
Missing110
Missing (%)80.3%
Memory size1.2 KiB
Minimum2003-12-31 00:00:00
Maximum2004-06-30 00:00:00
2023-12-13T01:51:07.067464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:07.230999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

기준값1
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.567153
Minimum0.7
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T01:51:07.394021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile1
Q11.7
median3.7
Q350
95-th percentile70
Maximum80
Range79.3
Interquartile range (IQR)48.3

Descriptive statistics

Standard deviation27.892986
Coefficient of variation (CV)1.1353772
Kurtosis-1.2496175
Mean24.567153
Median Absolute Deviation (MAD)2.6
Skewness0.63601327
Sum3365.7
Variance778.01869
MonotonicityNot monotonic
2023-12-13T01:51:07.548816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
60.0 13
 
9.5%
1.2 11
 
8.0%
40.0 9
 
6.6%
70.0 9
 
6.6%
50.0 8
 
5.8%
80.0 6
 
4.4%
45.0 6
 
4.4%
4.5 6
 
4.4%
2.4 6
 
4.4%
1.8 5
 
3.6%
Other values (21) 58
42.3%
ValueCountFrequency (%)
0.7 1
 
0.7%
0.8 2
 
1.5%
0.9 2
 
1.5%
1.0 3
 
2.2%
1.1 4
 
2.9%
1.2 11
8.0%
1.3 2
 
1.5%
1.4 4
 
2.9%
1.5 4
 
2.9%
1.7 2
 
1.5%
ValueCountFrequency (%)
80.0 6
4.4%
70.0 9
6.6%
60.0 13
9.5%
55.0 3
 
2.2%
50.0 8
5.8%
45.0 6
4.4%
40.0 9
6.6%
30.0 3
 
2.2%
20.0 1
 
0.7%
5.1 2
 
1.5%

기준값2
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct21
Distinct (%)24.1%
Missing50
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean327.01149
Minimum5
Maximum1200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T01:51:07.737279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q1150
median230
Q3390
95-th percentile1200
Maximum1200
Range1195
Interquartile range (IQR)240

Descriptive statistics

Standard deviation296.10697
Coefficient of variation (CV)0.90549407
Kurtosis3.3698676
Mean327.01149
Median Absolute Deviation (MAD)110
Skewness1.9118032
Sum28450
Variance87679.337
MonotonicityNot monotonic
2023-12-13T01:51:07.886057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
5 8
 
5.8%
220 7
 
5.1%
190 7
 
5.1%
400 6
 
4.4%
150 6
 
4.4%
120 6
 
4.4%
1200 6
 
4.4%
370 5
 
3.6%
270 4
 
2.9%
230 4
 
2.9%
Other values (11) 28
20.4%
(Missing) 50
36.5%
ValueCountFrequency (%)
5 8
5.8%
110 4
2.9%
120 6
4.4%
150 6
4.4%
190 7
5.1%
200 2
 
1.5%
210 1
 
0.7%
220 7
5.1%
230 4
2.9%
260 3
 
2.2%
ValueCountFrequency (%)
1200 6
4.4%
1090 1
 
0.7%
710 2
 
1.5%
540 4
2.9%
510 2
 
1.5%
400 6
4.4%
390 3
2.2%
370 5
3.6%
310 2
 
1.5%
290 4
2.9%

기준값3
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct19
Distinct (%)21.8%
Missing50
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean807.83793
Minimum0.1
Maximum2110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T01:51:08.050652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q150
median810
Q31270
95-th percentile1990
Maximum2110
Range2109.9
Interquartile range (IQR)1220

Descriptive statistics

Standard deviation652.33583
Coefficient of variation (CV)0.8075083
Kurtosis-0.95926427
Mean807.83793
Median Absolute Deviation (MAD)630
Skewness0.23584312
Sum70281.9
Variance425542.04
MonotonicityNot monotonic
2023-12-13T01:51:08.563706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.1 19
 
13.9%
50.0 8
 
5.8%
1040.0 5
 
3.6%
1270.0 5
 
3.6%
1990.0 4
 
2.9%
1440.0 4
 
2.9%
650.0 4
 
2.9%
810.0 4
 
2.9%
1510.0 4
 
2.9%
790.0 4
 
2.9%
Other values (9) 26
19.0%
(Missing) 50
36.5%
ValueCountFrequency (%)
0.1 19
13.9%
50.0 8
5.8%
570.0 3
 
2.2%
650.0 4
 
2.9%
680.0 2
 
1.5%
740.0 2
 
1.5%
790.0 4
 
2.9%
810.0 4
 
2.9%
880.0 4
 
2.9%
990.0 4
 
2.9%
ValueCountFrequency (%)
2110.0 2
 
1.5%
1990.0 4
2.9%
1840.0 4
2.9%
1640.0 1
 
0.7%
1510.0 4
2.9%
1440.0 4
2.9%
1270.0 5
3.6%
1080.0 4
2.9%
1040.0 5
3.6%
990.0 4
2.9%

기준값4
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
118 
0.15
19 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 118
86.1%
0.15 19
 
13.9%

Length

2023-12-13T01:51:08.724056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:51:08.853058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 118
86.1%
0.15 19
 
13.9%

기준값5
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
118 
0.2
19 

Length

Max length4
Median length4
Mean length3.8613139
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 118
86.1%
0.2 19
 
13.9%

Length

2023-12-13T01:51:08.981822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:51:09.130923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 118
86.1%
0.2 19
 
13.9%

등록일시
Date

Distinct8
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2002-03-28 00:00:00
Maximum2007-07-10 00:00:00
2023-12-13T01:51:09.236709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:09.385578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

수정일시
Date

MISSING 

Distinct7
Distinct (%)11.9%
Missing78
Missing (%)56.9%
Memory size1.2 KiB
Minimum2002-03-28 00:00:00
Maximum2007-07-10 00:00:00
2023-12-13T01:51:09.499655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:09.633816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

Interactions

2023-12-13T01:51:04.100926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:02.759733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:03.166560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:03.623788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:04.203471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:02.856207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:03.294538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:03.753340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:04.327568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:02.962761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:03.417806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:03.884951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:04.432311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:03.057222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:03.509742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:04.011659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:51:09.765250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
검사방법코드사용연료별구분일련번호차종제작시작일자제작종료일자적용시작일자적용종료일자기준값1기준값2기준값3등록일시수정일시
검사방법코드1.0000.3020.5670.9260.3110.4281.0000.9850.5360.5230.7470.9401.000
사용연료별구분0.3021.0000.4340.7370.5160.552NaNNaN0.9270.5200.4120.6871.000
일련번호0.5670.4341.0000.5510.4560.3590.7060.0000.5580.2670.6530.8000.730
차종0.9260.7370.5511.0000.8460.7650.3101.0000.7210.6040.0000.6450.745
제작시작일자0.3110.5160.4560.8461.0000.9600.7120.3440.7360.4050.3930.4670.616
제작종료일자0.4280.5520.3590.7650.9601.0000.6760.3720.7390.6180.3730.4480.425
적용시작일자1.000NaN0.7060.3100.7120.6761.000NaN0.687NaNNaN1.0000.970
적용종료일자0.985NaN0.0001.0000.3440.372NaN1.0000.407NaNNaN0.9851.000
기준값10.5360.9270.5580.7210.7360.7390.6870.4071.0000.0000.0000.5940.671
기준값20.5230.5200.2670.6040.4050.618NaNNaN0.0001.0000.7430.4770.666
기준값30.7470.4120.6530.0000.3930.373NaNNaN0.0000.7431.0000.0240.000
등록일시0.9400.6870.8000.6450.4670.4481.0000.9850.5940.4770.0241.0001.000
수정일시1.0001.0000.7300.7450.6160.4250.9701.0000.6710.6660.0001.0001.000
2023-12-13T01:51:09.945170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차종기준값4사용연료별구분검사방법코드기준값5
차종1.0001.0000.4390.7451.000
기준값41.0001.0001.0001.0001.000
사용연료별구분0.4391.0001.0000.4851.000
검사방법코드0.7451.0000.4851.0001.000
기준값51.0001.0001.0001.0001.000
2023-12-13T01:51:10.066078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호기준값1기준값2기준값3검사방법코드사용연료별구분차종기준값4기준값5
일련번호1.000-0.544-0.1670.4450.4240.2810.2371.0001.000
기준값1-0.5441.0000.4270.0600.5230.6690.3131.0001.000
기준값2-0.1670.4271.0000.1820.5440.3970.2521.0001.000
기준값30.4450.0600.1821.0000.7310.1900.0001.0001.000
검사방법코드0.4240.5230.5440.7311.0000.4850.7451.0001.000
사용연료별구분0.2810.6690.3970.1900.4851.0000.4391.0001.000
차종0.2370.3130.2520.0000.7450.4391.0001.0001.000
기준값41.0001.0001.0001.0001.0001.0001.0001.0001.000
기준값51.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-13T01:51:04.622383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:51:04.842692image/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.
2023-12-13T01:51:05.063703image/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

검사방법코드사용연료별구분일련번호차종제작시작일자제작종료일자적용시작일자적용종료일자기준값1기준값2기준값3기준값4기준값5등록일시수정일시
0부하검사(ASMTSI5TSI5)경유6전차종<NA>1995-12-31<NA>2003-12-3180.0550.0<NA><NA>2002-03-282006-08-03
1부하검사(ASMTSI5TSI5)경유7전차종<NA>1995-12-31<NA>2003-12-3180.0<NA><NA><NA><NA>2002-03-28<NA>
2부하검사(ASMTSI5TSI5)경유8전차종<NA>1995-12-31<NA>2003-12-3180.0<NA><NA><NA><NA>2002-03-28<NA>
3부하검사(ASMTSI5TSI5)경유9전차종<NA>1995-12-312004-01-01<NA>70.0550.0<NA><NA>2002-03-28<NA>
4부하검사(ASMTSI5TSI5)경유10전차종<NA>1995-12-312004-01-01<NA>70.0<NA><NA><NA><NA>2002-03-28<NA>
5부하검사(ASMTSI5TSI5)경유11전차종<NA>1995-12-312004-01-01<NA>70.0<NA><NA><NA><NA>2002-03-28<NA>
6부하검사(ASMTSI5TSI5)경유14전차종1996-01-01<NA><NA>2003-12-3170.0550.0<NA><NA>2002-03-282002-04-15
7부하검사(ASMTSI5TSI5)경유13전차종1996-01-01<NA><NA>2003-12-3170.0<NA><NA><NA><NA>2002-03-28<NA>
8부하검사(ASMTSI5TSI5)경유15전차종1996-01-01<NA><NA>2003-12-3170.0<NA><NA><NA><NA>2002-03-28<NA>
9부하검사(ASMTSI5TSI5)경유16전차종1996-01-01<NA>2004-01-01<NA>60.0550.0<NA><NA>2002-03-28<NA>
검사방법코드사용연료별구분일련번호차종제작시작일자제작종료일자적용시작일자적용종료일자기준값1기준값2기준값3기준값4기준값5등록일시수정일시
127부하검사(ASMTSI5TSI5)경유21전차종2001-01-012007-12-312007-07-01<NA>30.0550.0<NA><NA>2007-07-102007-07-10
128부하검사(ASMTSI5TSI5)경유22전차종2008-01-01<NA>2007-07-01<NA>20.0550.0<NA><NA>2007-07-102007-07-10
129TSI휘발유43승용자동차2002-07-01<NA><NA><NA>1.22200.10.150.22002-03-28<NA>
130부하검사(ASMTSI5TSI5)휘발유43경자동차2001-01-01<NA><NA><NA>1.22101640.0<NA><NA>2002-03-28<NA>
131TSI휘발유12승용자동차2001-01-012002-06-30<NA><NA>1.22200.10.150.22002-03-28<NA>
132TSI휘발유22소형화물자동차<NA>2000-12-31<NA><NA>4.512000.10.150.22004-02-26<NA>
133TSI휘발유21화물자동차2002-07-01<NA><NA><NA>2.54000.10.150.22002-03-28<NA>
134TSI휘발유17승용12002-07-01<NA><NA><NA>1.22200.10.150.22002-03-28<NA>
135부하검사(ASMTSI5TSI5)휘발유22승용자동차1988-01-01<NA><NA><NA>1.21901440.0<NA><NA>2002-03-28<NA>
136부하검사(ASMTSI5TSI5)휘발유23승용자동차1988-01-01<NA><NA><NA>0.91501080.0<NA><NA>2002-03-28<NA>