Overview

Dataset statistics

Number of variables52
Number of observations300
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory137.2 KiB
Average record size in memory468.4 B

Variable types

Numeric23
Categorical29

Dataset

Description자동차관리법 및 자동차종합검사 시행등에 관한 규칙에 따라 한국교통안전공단(KOTSA)에서 관리하는 자동차검사 자료입니다.
Author한국교통안전공단
URLhttps://www.data.go.kr/data/15088015/fileData.do

Alerts

사이드슬립 인(후) has constant value ""Constant
사이드슬립 아웃(후) has constant value ""Constant
전후축 축중 has constant value ""Constant
후중축 축중 has constant value ""Constant
후후축 축중 has constant value ""Constant
전후축 제동력 합(KG) has constant value ""Constant
후중축 제동력 합(KG) has constant value ""Constant
후후축 제동력 합(KG) has constant value ""Constant
전후축 제동력 합(percent) has constant value ""Constant
후중축 제동력 합(percent) has constant value ""Constant
후후축 제동력 합(percent) has constant value ""Constant
전후축 제동력 좌측 has constant value ""Constant
후중축 제동력 좌측 has constant value ""Constant
후후축 제동력 좌측 has constant value ""Constant
전후축 제동력 우측 has constant value ""Constant
후중축 제동력 우측 has constant value ""Constant
후후축 제동력 우측 has constant value ""Constant
전후축 제동력 편차 has constant value ""Constant
후중축 제동력 편차 has constant value ""Constant
후후축 제동력 편차 has constant value ""Constant
속도계(60Km) has constant value ""Constant
브레이크(Brake) 검사 has constant value ""Constant
택시미터 기본거리 기준 is highly imbalanced (91.9%)Imbalance
택시미터 이후거리 기준 is highly imbalanced (91.9%)Imbalance
택시미터 기본거리 검사결과 is highly imbalanced (95.2%)Imbalance
택시미터 이후거리 검사결과 is highly imbalanced (94.3%)Imbalance
얼라이먼트(Aligment)검사 is highly imbalanced (94.2%)Imbalance
택시(Taxi)미터검정 is highly imbalanced (91.9%)Imbalance
사이드슬립 인(전) has 105 (35.0%) zerosZeros
사이드슬립 아웃(전) has 203 (67.7%) zerosZeros
후전축 제동력 편차 has 5 (1.7%) zerosZeros
속도계(40km) has 49 (16.3%) zerosZeros

Reproduction

Analysis started2023-12-12 10:54:49.590860
Analysis finished2023-12-12 10:54:50.464649
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사이드슬립 인(전)
Real number (ℝ)

ZEROS 

Distinct69
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8703333
Minimum0
Maximum16.3
Zeros105
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:54:51.090554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.8
Q32.925
95-th percentile7.61
Maximum16.3
Range16.3
Interquartile range (IQR)2.925

Descriptive statistics

Standard deviation2.5262276
Coefficient of variation (CV)1.3506831
Kurtosis4.9267973
Mean1.8703333
Median Absolute Deviation (MAD)0.8
Skewness1.9825094
Sum561.1
Variance6.381826
MonotonicityNot monotonic
2023-12-12T19:54:51.384623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 105
35.0%
0.6 11
 
3.7%
0.7 9
 
3.0%
1.3 6
 
2.0%
3.2 6
 
2.0%
2.2 6
 
2.0%
0.4 5
 
1.7%
1.2 5
 
1.7%
2.4 5
 
1.7%
0.2 5
 
1.7%
Other values (59) 137
45.7%
ValueCountFrequency (%)
0.0 105
35.0%
0.1 4
 
1.3%
0.2 5
 
1.7%
0.3 5
 
1.7%
0.4 5
 
1.7%
0.5 5
 
1.7%
0.6 11
 
3.7%
0.7 9
 
3.0%
0.8 4
 
1.3%
0.9 4
 
1.3%
ValueCountFrequency (%)
16.3 1
0.3%
10.9 2
0.7%
10.4 1
0.3%
9.8 1
0.3%
9.5 2
0.7%
9.2 1
0.3%
8.6 1
0.3%
8.4 1
0.3%
8.1 1
0.3%
8.0 2
0.7%

사이드슬립 아웃(전)
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.55266667
Minimum0
Maximum10
Zeros203
Zeros (%)67.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:54:51.660404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.5
95-th percentile2.805
Maximum10
Range10
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.3754997
Coefficient of variation (CV)2.4888415
Kurtosis22.719151
Mean0.55266667
Median Absolute Deviation (MAD)0
Skewness4.28842
Sum165.8
Variance1.8919996
MonotonicityNot monotonic
2023-12-12T19:54:51.919984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.0 203
67.7%
0.6 9
 
3.0%
0.2 8
 
2.7%
0.9 6
 
2.0%
1.2 5
 
1.7%
0.5 5
 
1.7%
0.1 4
 
1.3%
0.3 4
 
1.3%
0.4 4
 
1.3%
1.8 3
 
1.0%
Other values (30) 49
 
16.3%
ValueCountFrequency (%)
0.0 203
67.7%
0.1 4
 
1.3%
0.2 8
 
2.7%
0.3 4
 
1.3%
0.4 4
 
1.3%
0.5 5
 
1.7%
0.6 9
 
3.0%
0.7 3
 
1.0%
0.8 3
 
1.0%
0.9 6
 
2.0%
ValueCountFrequency (%)
10.0 1
0.3%
9.9 1
0.3%
9.3 1
0.3%
8.3 1
0.3%
5.8 1
0.3%
4.4 1
0.3%
4.2 1
0.3%
3.8 1
0.3%
3.7 2
0.7%
3.6 1
0.3%

사이드슬립 인(후)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:54:52.161156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:54:52.349701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%

사이드슬립 아웃(후)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:54:52.539107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:54:52.714460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%

전전축 축중
Real number (ℝ)

Distinct230
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1020.0867
Minimum519
Maximum4191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:54:52.954201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum519
5-th percentile691.65
Q1894.75
median959
Q31086
95-th percentile1284.85
Maximum4191
Range3672
Interquartile range (IQR)191.25

Descriptive statistics

Standard deviation396.71222
Coefficient of variation (CV)0.38890051
Kurtosis43.692646
Mean1020.0867
Median Absolute Deviation (MAD)86
Skewness6.0360593
Sum306026
Variance157380.59
MonotonicityNot monotonic
2023-12-12T19:54:53.224434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
931 4
 
1.3%
873 3
 
1.0%
909 3
 
1.0%
901 3
 
1.0%
943 3
 
1.0%
1023 3
 
1.0%
934 3
 
1.0%
868 3
 
1.0%
1022 3
 
1.0%
959 3
 
1.0%
Other values (220) 269
89.7%
ValueCountFrequency (%)
519 1
0.3%
546 1
0.3%
584 1
0.3%
594 1
0.3%
595 1
0.3%
597 2
0.7%
621 1
0.3%
630 1
0.3%
632 1
0.3%
634 2
0.7%
ValueCountFrequency (%)
4191 1
0.3%
4187 1
0.3%
4143 1
0.3%
3398 1
0.3%
2780 1
0.3%
1476 1
0.3%
1382 1
0.3%
1351 1
0.3%
1339 1
0.3%
1328 1
0.3%

전후축 축중
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:54:53.462011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:54:53.651416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%

후전축 축중
Real number (ℝ)

Distinct231
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean828.26333
Minimum267
Maximum7676
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:54:53.884470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum267
5-th percentile466.45
Q1599.75
median684
Q3852.5
95-th percentile1024.65
Maximum7676
Range7409
Interquartile range (IQR)252.75

Descriptive statistics

Standard deviation842.5887
Coefficient of variation (CV)1.0172957
Kurtosis54.968041
Mean828.26333
Median Absolute Deviation (MAD)119
Skewness7.2966907
Sum248479
Variance709955.72
MonotonicityNot monotonic
2023-12-12T19:54:54.165658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
657 5
 
1.7%
684 4
 
1.3%
805 3
 
1.0%
890 3
 
1.0%
660 3
 
1.0%
654 3
 
1.0%
672 3
 
1.0%
698 3
 
1.0%
1010 3
 
1.0%
588 3
 
1.0%
Other values (221) 267
89.0%
ValueCountFrequency (%)
267 1
0.3%
281 1
0.3%
345 1
0.3%
359 1
0.3%
382 1
0.3%
386 1
0.3%
390 1
0.3%
394 1
0.3%
401 1
0.3%
423 1
0.3%
ValueCountFrequency (%)
7676 1
0.3%
7628 1
0.3%
7575 1
0.3%
7375 1
0.3%
5058 1
0.3%
1578 1
0.3%
1232 1
0.3%
1139 1
0.3%
1138 1
0.3%
1128 1
0.3%

후중축 축중
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:54:54.448689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:54:54.635527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%

후후축 축중
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:54:54.830453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:54:55.022978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%

축중 총중량
Real number (ℝ)

Distinct260
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1848.3
Minimum786
Maximum11819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:54:55.235995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum786
5-th percentile1202.65
Q11510.75
median1669
Q31926.25
95-th percentile2304.15
Maximum11819
Range11033
Interquartile range (IQR)415.5

Descriptive statistics

Standard deviation1226.4132
Coefficient of variation (CV)0.6635358
Kurtosis52.887459
Mean1848.3
Median Absolute Deviation (MAD)182
Skewness7.0644832
Sum554490
Variance1504089.4
MonotonicityNot monotonic
2023-12-12T19:54:55.511370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1607 3
 
1.0%
1283 3
 
1.0%
2171 3
 
1.0%
2203 2
 
0.7%
1790 2
 
0.7%
1656 2
 
0.7%
1333 2
 
0.7%
1544 2
 
0.7%
1561 2
 
0.7%
1717 2
 
0.7%
Other values (250) 277
92.3%
ValueCountFrequency (%)
786 1
0.3%
875 1
0.3%
891 1
0.3%
980 1
0.3%
983 1
0.3%
991 1
0.3%
1012 1
0.3%
1035 1
0.3%
1054 1
0.3%
1064 1
0.3%
ValueCountFrequency (%)
11819 2
0.7%
11762 1
0.3%
10773 1
0.3%
7839 1
0.3%
3054 1
0.3%
2543 1
0.3%
2460 1
0.3%
2371 1
0.3%
2357 1
0.3%
2326 1
0.3%

주차 축중
Real number (ℝ)

Distinct260
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1848.3
Minimum786
Maximum11819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:54:55.768342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum786
5-th percentile1202.65
Q11510.75
median1669
Q31926.25
95-th percentile2304.15
Maximum11819
Range11033
Interquartile range (IQR)415.5

Descriptive statistics

Standard deviation1226.4132
Coefficient of variation (CV)0.6635358
Kurtosis52.887459
Mean1848.3
Median Absolute Deviation (MAD)182
Skewness7.0644832
Sum554490
Variance1504089.4
MonotonicityNot monotonic
2023-12-12T19:54:56.023298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1607 3
 
1.0%
1283 3
 
1.0%
2171 3
 
1.0%
2203 2
 
0.7%
1790 2
 
0.7%
1656 2
 
0.7%
1333 2
 
0.7%
1544 2
 
0.7%
1561 2
 
0.7%
1717 2
 
0.7%
Other values (250) 277
92.3%
ValueCountFrequency (%)
786 1
0.3%
875 1
0.3%
891 1
0.3%
980 1
0.3%
983 1
0.3%
991 1
0.3%
1012 1
0.3%
1035 1
0.3%
1054 1
0.3%
1064 1
0.3%
ValueCountFrequency (%)
11819 2
0.7%
11762 1
0.3%
10773 1
0.3%
7839 1
0.3%
3054 1
0.3%
2543 1
0.3%
2460 1
0.3%
2371 1
0.3%
2357 1
0.3%
2326 1
0.3%
Distinct225
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean718.46333
Minimum394
Maximum2999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:54:56.327570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum394
5-th percentile483.95
Q1575.5
median677.5
Q3788.5
95-th percentile976.2
Maximum2999
Range2605
Interquartile range (IQR)213

Descriptive statistics

Standard deviation293.01979
Coefficient of variation (CV)0.40784237
Kurtosis36.124285
Mean718.46333
Median Absolute Deviation (MAD)108.5
Skewness5.3029023
Sum215539
Variance85860.597
MonotonicityNot monotonic
2023-12-12T19:54:56.594976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
653 5
 
1.7%
544 4
 
1.3%
621 3
 
1.0%
574 3
 
1.0%
520 3
 
1.0%
760 3
 
1.0%
527 3
 
1.0%
700 3
 
1.0%
695 3
 
1.0%
910 3
 
1.0%
Other values (215) 267
89.0%
ValueCountFrequency (%)
394 1
0.3%
404 1
0.3%
421 1
0.3%
425 1
0.3%
428 1
0.3%
433 1
0.3%
434 1
0.3%
435 1
0.3%
442 1
0.3%
443 1
0.3%
ValueCountFrequency (%)
2999 1
0.3%
2995 1
0.3%
2800 1
0.3%
2474 1
0.3%
1916 1
0.3%
1180 1
0.3%
1141 1
0.3%
1037 1
0.3%
1025 1
0.3%
1024 1
0.3%

전후축 제동력 합(KG)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:54:56.818401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:54:56.962861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%
Distinct231
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean483.02333
Minimum134
Maximum4961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:54:57.152183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum134
5-th percentile234.9
Q1332.75
median409.5
Q3511
95-th percentile724.15
Maximum4961
Range4827
Interquartile range (IQR)178.25

Descriptive statistics

Standard deviation469.18069
Coefficient of variation (CV)0.97134166
Kurtosis58.556714
Mean483.02333
Median Absolute Deviation (MAD)86
Skewness7.2756851
Sum144907
Variance220130.52
MonotonicityNot monotonic
2023-12-12T19:54:57.425547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
288 5
 
1.7%
382 4
 
1.3%
478 4
 
1.3%
289 4
 
1.3%
328 4
 
1.3%
326 4
 
1.3%
573 3
 
1.0%
355 3
 
1.0%
373 3
 
1.0%
351 3
 
1.0%
Other values (221) 263
87.7%
ValueCountFrequency (%)
134 1
0.3%
135 1
0.3%
150 1
0.3%
156 1
0.3%
166 1
0.3%
176 1
0.3%
179 1
0.3%
181 1
0.3%
183 1
0.3%
196 1
0.3%
ValueCountFrequency (%)
4961 1
0.3%
4373 1
0.3%
4044 1
0.3%
3429 1
0.3%
2112 1
0.3%
861 1
0.3%
834 1
0.3%
832 1
0.3%
824 1
0.3%
819 1
0.3%

후중축 제동력 합(KG)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:54:57.655383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:54:57.818841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%

후후축 제동력 합(KG)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:54:57.986343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:54:58.141855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%

종합 제동력 합(KG)
Real number (ℝ)

Distinct258
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1201.4
Minimum575
Maximum7435
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:54:58.319034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum575
5-th percentile774
Q1927.75
median1094
Q31287.5
95-th percentile1631.3
Maximum7435
Range6860
Interquartile range (IQR)359.75

Descriptive statistics

Standard deviation742.6972
Coefficient of variation (CV)0.6181931
Kurtosis50.626752
Mean1201.4
Median Absolute Deviation (MAD)181.5
Skewness6.7299831
Sum360420
Variance551599.12
MonotonicityNot monotonic
2023-12-12T19:54:58.547128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
977 3
 
1.0%
1156 3
 
1.0%
878 3
 
1.0%
975 3
 
1.0%
1001 3
 
1.0%
1198 2
 
0.7%
868 2
 
0.7%
1100 2
 
0.7%
1129 2
 
0.7%
786 2
 
0.7%
Other values (248) 275
91.7%
ValueCountFrequency (%)
575 1
0.3%
583 1
0.3%
620 1
0.3%
652 1
0.3%
688 1
0.3%
697 1
0.3%
706 1
0.3%
707 2
0.7%
719 1
0.3%
724 1
0.3%
ValueCountFrequency (%)
7435 1
0.3%
7372 1
0.3%
6844 1
0.3%
6424 1
0.3%
4028 1
0.3%
1849 1
0.3%
1707 1
0.3%
1704 1
0.3%
1674 1
0.3%
1661 1
0.3%

주차 제동력 합(KG)
Real number (ℝ)

Distinct218
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean531.91333
Minimum185
Maximum5534
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:54:58.779139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185
5-th percentile285.7
Q1372.75
median438.5
Q3564
95-th percentile784.1
Maximum5534
Range5349
Interquartile range (IQR)191.25

Descriptive statistics

Standard deviation517.05096
Coefficient of variation (CV)0.97205865
Kurtosis61.839747
Mean531.91333
Median Absolute Deviation (MAD)93
Skewness7.5234789
Sum159574
Variance267341.69
MonotonicityNot monotonic
2023-12-12T19:54:59.015989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
405 4
 
1.3%
396 4
 
1.3%
398 4
 
1.3%
402 4
 
1.3%
354 4
 
1.3%
411 4
 
1.3%
620 3
 
1.0%
532 3
 
1.0%
600 3
 
1.0%
482 3
 
1.0%
Other values (208) 264
88.0%
ValueCountFrequency (%)
185 1
0.3%
203 1
0.3%
237 1
0.3%
251 1
0.3%
252 1
0.3%
255 1
0.3%
258 1
0.3%
262 1
0.3%
265 1
0.3%
266 1
0.3%
ValueCountFrequency (%)
5534 1
0.3%
5025 1
0.3%
4189 1
0.3%
3969 1
0.3%
2118 1
0.3%
991 1
0.3%
912 1
0.3%
883 1
0.3%
853 1
0.3%
847 1
0.3%
Distinct214
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.607667
Minimum46.1
Maximum98.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:54:59.819094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.1
5-th percentile55.295
Q163.1
median69.9
Q377.125
95-th percentile86.635
Maximum98.2
Range52.1
Interquartile range (IQR)14.025

Descriptive statistics

Standard deviation9.8054814
Coefficient of variation (CV)0.13887276
Kurtosis-0.26251737
Mean70.607667
Median Absolute Deviation (MAD)6.9
Skewness0.26159972
Sum21182.3
Variance96.147466
MonotonicityNot monotonic
2023-12-12T19:55:00.175086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73.0 5
 
1.7%
67.4 4
 
1.3%
75.0 4
 
1.3%
68.0 3
 
1.0%
69.0 3
 
1.0%
66.8 3
 
1.0%
66.7 3
 
1.0%
55.3 3
 
1.0%
75.1 3
 
1.0%
80.7 3
 
1.0%
Other values (204) 266
88.7%
ValueCountFrequency (%)
46.1 1
0.3%
50.8 1
0.3%
51.1 1
0.3%
52.6 1
0.3%
52.8 1
0.3%
53.1 1
0.3%
53.3 1
0.3%
53.7 1
0.3%
53.8 1
0.3%
54.0 1
0.3%
ValueCountFrequency (%)
98.2 1
0.3%
96.8 1
0.3%
96.6 1
0.3%
95.5 1
0.3%
94.5 1
0.3%
93.7 1
0.3%
93.2 1
0.3%
90.0 1
0.3%
89.9 1
0.3%
89.5 1
0.3%

전후축 제동력 합(percent)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:55:00.482858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:00.664434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%
Distinct228
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.364333
Minimum22.3
Maximum142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:55:00.865170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.3
5-th percentile36.175
Q151.575
median59.65
Q367
95-th percentile78.82
Maximum142
Range119.7
Interquartile range (IQR)15.425

Descriptive statistics

Standard deviation14.223579
Coefficient of variation (CV)0.23959806
Kurtosis4.6968867
Mean59.364333
Median Absolute Deviation (MAD)7.75
Skewness0.92099433
Sum17809.3
Variance202.3102
MonotonicityNot monotonic
2023-12-12T19:55:01.136624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65.7 4
 
1.3%
59.8 3
 
1.0%
57.0 3
 
1.0%
65.8 3
 
1.0%
77.2 3
 
1.0%
68.5 3
 
1.0%
56.1 3
 
1.0%
61.1 3
 
1.0%
64.0 3
 
1.0%
45.3 2
 
0.7%
Other values (218) 270
90.0%
ValueCountFrequency (%)
22.3 1
0.3%
26.4 1
0.3%
28.0 1
0.3%
29.4 1
0.3%
30.4 1
0.3%
30.8 1
0.3%
30.9 1
0.3%
31.7 1
0.3%
34.1 2
0.7%
34.4 1
0.3%
ValueCountFrequency (%)
142.0 1
0.3%
122.6 1
0.3%
108.0 1
0.3%
97.3 1
0.3%
96.7 1
0.3%
95.5 1
0.3%
85.5 1
0.3%
84.8 1
0.3%
83.9 2
0.7%
82.6 1
0.3%

후중축 제동력 합(percent)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:55:01.394345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:01.563879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%

후후축 제동력 합(percent)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:55:01.763285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:01.961607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%
Distinct199
Distinct (%)66.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.663333
Minimum50.2
Maximum99.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:55:02.137668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.2
5-th percentile51.7
Q158.675
median65.2
Q371.45
95-th percentile80.515
Maximum99.4
Range49.2
Interquartile range (IQR)12.775

Descriptive statistics

Standard deviation9.1778082
Coefficient of variation (CV)0.13977067
Kurtosis0.25516168
Mean65.663333
Median Absolute Deviation (MAD)6.5
Skewness0.5338557
Sum19699
Variance84.232163
MonotonicityNot monotonic
2023-12-12T19:55:02.405900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51.4 5
 
1.7%
63.7 4
 
1.3%
65.6 4
 
1.3%
64.5 4
 
1.3%
62.5 4
 
1.3%
73.8 3
 
1.0%
68.8 3
 
1.0%
64.7 3
 
1.0%
58.7 3
 
1.0%
59.9 3
 
1.0%
Other values (189) 264
88.0%
ValueCountFrequency (%)
50.2 1
 
0.3%
50.4 1
 
0.3%
51.0 1
 
0.3%
51.1 1
 
0.3%
51.2 1
 
0.3%
51.3 3
1.0%
51.4 5
1.7%
51.6 1
 
0.3%
51.7 2
 
0.7%
51.8 1
 
0.3%
ValueCountFrequency (%)
99.4 1
0.3%
96.2 1
0.3%
91.0 1
0.3%
90.9 1
0.3%
90.8 1
0.3%
87.0 1
0.3%
86.6 1
0.3%
86.3 1
0.3%
85.4 1
0.3%
82.4 1
0.3%
Distinct150
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.708
Minimum11.6
Maximum56.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:55:02.698966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.6
5-th percentile21.295
Q123.6
median26.4
Q330.825
95-th percentile37.005
Maximum56.9
Range45.3
Interquartile range (IQR)7.225

Descriptive statistics

Standard deviation5.7146063
Coefficient of variation (CV)0.20624391
Kurtosis3.6714494
Mean27.708
Median Absolute Deviation (MAD)3.25
Skewness1.4292749
Sum8312.4
Variance32.656725
MonotonicityNot monotonic
2023-12-12T19:55:02.956850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.9 7
 
2.3%
24.3 7
 
2.3%
25.5 6
 
2.0%
26.4 6
 
2.0%
26.6 5
 
1.7%
23.6 5
 
1.7%
26.2 4
 
1.3%
23.2 4
 
1.3%
23.4 4
 
1.3%
25.6 4
 
1.3%
Other values (140) 248
82.7%
ValueCountFrequency (%)
11.6 1
 
0.3%
20.1 3
1.0%
20.2 1
 
0.3%
20.3 1
 
0.3%
20.5 1
 
0.3%
20.6 1
 
0.3%
20.8 1
 
0.3%
20.9 2
0.7%
21.0 1
 
0.3%
21.1 2
0.7%
ValueCountFrequency (%)
56.9 1
0.3%
51.9 1
0.3%
48.1 1
0.3%
47.2 1
0.3%
47.1 1
0.3%
46.6 1
0.3%
42.0 1
0.3%
41.9 1
0.3%
39.3 1
0.3%
39.2 1
0.3%
Distinct189
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean368.68333
Minimum30
Maximum1664
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:55:03.204933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile247
Q1297.25
median344
Q3403.25
95-th percentile487.75
Maximum1664
Range1634
Interquartile range (IQR)106

Descriptive statistics

Standard deviation155.26715
Coefficient of variation (CV)0.42113961
Kurtosis39.055714
Mean368.68333
Median Absolute Deviation (MAD)51
Skewness5.476706
Sum110605
Variance24107.889
MonotonicityNot monotonic
2023-12-12T19:55:03.492353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
295 6
 
2.0%
306 5
 
1.7%
373 4
 
1.3%
285 4
 
1.3%
329 4
 
1.3%
278 4
 
1.3%
290 4
 
1.3%
442 4
 
1.3%
389 4
 
1.3%
312 4
 
1.3%
Other values (179) 257
85.7%
ValueCountFrequency (%)
30 1
0.3%
183 1
0.3%
213 1
0.3%
214 1
0.3%
220 1
0.3%
221 1
0.3%
222 1
0.3%
228 1
0.3%
229 2
0.7%
231 1
0.3%
ValueCountFrequency (%)
1664 1
0.3%
1557 1
0.3%
1522 1
0.3%
1131 1
0.3%
1049 1
0.3%
608 1
0.3%
599 1
0.3%
547 1
0.3%
538 1
0.3%
529 1
0.3%

전후축 제동력 좌측
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:55:03.762493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:03.946406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%
Distinct179
Distinct (%)59.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244.84667
Minimum68
Maximum2470
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:55:04.159514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68
5-th percentile117
Q1170
median208
Q3265
95-th percentile356.2
Maximum2470
Range2402
Interquartile range (IQR)95

Descriptive statistics

Standard deviation235.99225
Coefficient of variation (CV)0.96383691
Kurtosis57.807382
Mean244.84667
Median Absolute Deviation (MAD)45
Skewness7.2405388
Sum73454
Variance55692.344
MonotonicityNot monotonic
2023-12-12T19:55:04.400327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
172 6
 
2.0%
211 5
 
1.7%
190 5
 
1.7%
163 4
 
1.3%
167 4
 
1.3%
213 4
 
1.3%
265 4
 
1.3%
200 4
 
1.3%
199 3
 
1.0%
223 3
 
1.0%
Other values (169) 258
86.0%
ValueCountFrequency (%)
68 1
0.3%
73 1
0.3%
75 1
0.3%
77 1
0.3%
81 1
0.3%
82 1
0.3%
85 1
0.3%
92 1
0.3%
93 1
0.3%
100 1
0.3%
ValueCountFrequency (%)
2470 1
0.3%
2233 1
0.3%
1916 1
0.3%
1865 1
0.3%
1063 1
0.3%
431 1
0.3%
411 1
0.3%
408 1
0.3%
404 1
0.3%
388 1
0.3%

후중축 제동력 좌측
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:55:04.650554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:04.815190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%

후후축 제동력 좌측
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:55:04.991272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:05.200223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%

주차 제동력 좌측
Real number (ℝ)

Distinct184
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean277.38
Minimum68
Maximum3049
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:55:05.388834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68
5-th percentile142.9
Q1192.75
median231
Q3299.25
95-th percentile406.6
Maximum3049
Range2981
Interquartile range (IQR)106.5

Descriptive statistics

Standard deviation266.68986
Coefficient of variation (CV)0.9614603
Kurtosis63.443322
Mean277.38
Median Absolute Deviation (MAD)46
Skewness7.4780636
Sum83214
Variance71123.481
MonotonicityNot monotonic
2023-12-12T19:55:05.644882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
216 5
 
1.7%
269 5
 
1.7%
201 4
 
1.3%
254 4
 
1.3%
239 4
 
1.3%
261 4
 
1.3%
191 4
 
1.3%
194 4
 
1.3%
199 4
 
1.3%
234 3
 
1.0%
Other values (174) 259
86.3%
ValueCountFrequency (%)
68 1
0.3%
78 1
0.3%
102 1
0.3%
115 1
0.3%
119 1
0.3%
129 1
0.3%
131 2
0.7%
132 1
0.3%
134 1
0.3%
138 1
0.3%
ValueCountFrequency (%)
3049 1
0.3%
2408 1
0.3%
2082 1
0.3%
1939 1
0.3%
1173 1
0.3%
573 1
0.3%
560 1
0.3%
557 1
0.3%
551 1
0.3%
480 1
0.3%
Distinct181
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean349.78
Minimum189
Maximum1477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:55:05.885922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189
5-th percentile230.9
Q1276.5
median327
Q3390.25
95-th percentile477
Maximum1477
Range1288
Interquartile range (IQR)113.75

Descriptive statistics

Standard deviation141.47346
Coefficient of variation (CV)0.40446413
Kurtosis33.14959
Mean349.78
Median Absolute Deviation (MAD)55.5
Skewness4.9844096
Sum104934
Variance20014.741
MonotonicityNot monotonic
2023-12-12T19:55:06.144075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
377 4
 
1.3%
258 4
 
1.3%
308 4
 
1.3%
310 4
 
1.3%
391 4
 
1.3%
299 4
 
1.3%
337 4
 
1.3%
264 4
 
1.3%
323 4
 
1.3%
301 3
 
1.0%
Other values (171) 261
87.0%
ValueCountFrequency (%)
189 1
0.3%
195 1
0.3%
200 1
0.3%
203 1
0.3%
205 1
0.3%
206 1
0.3%
207 1
0.3%
211 2
0.7%
213 2
0.7%
215 1
0.3%
ValueCountFrequency (%)
1477 1
0.3%
1343 1
0.3%
1332 1
0.3%
1242 1
0.3%
867 1
0.3%
572 1
0.3%
542 1
0.3%
539 1
0.3%
520 1
0.3%
514 1
0.3%

전후축 제동력 우측
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:55:06.370424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:06.559971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%
Distinct178
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238.2
Minimum58
Maximum2491
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:55:06.799387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58
5-th percentile112.9
Q1162
median202.5
Q3254
95-th percentile367.6
Maximum2491
Range2433
Interquartile range (IQR)92

Descriptive statistics

Standard deviation234.17138
Coefficient of variation (CV)0.98308723
Kurtosis59.541451
Mean238.2
Median Absolute Deviation (MAD)44.5
Skewness7.30868
Sum71460
Variance54836.234
MonotonicityNot monotonic
2023-12-12T19:55:07.055678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
148 5
 
1.7%
211 5
 
1.7%
209 5
 
1.7%
235 4
 
1.3%
180 4
 
1.3%
162 4
 
1.3%
163 4
 
1.3%
259 4
 
1.3%
136 4
 
1.3%
261 4
 
1.3%
Other values (168) 257
85.7%
ValueCountFrequency (%)
58 2
0.7%
66 1
0.3%
71 1
0.3%
74 1
0.3%
83 1
0.3%
93 1
0.3%
94 1
0.3%
97 1
0.3%
100 1
0.3%
101 1
0.3%
ValueCountFrequency (%)
2491 1
0.3%
2139 1
0.3%
2129 1
0.3%
1564 1
0.3%
1049 1
0.3%
447 1
0.3%
430 1
0.3%
428 1
0.3%
422 1
0.3%
415 1
0.3%

후중축 제동력 우측
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:55:07.277596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:07.428915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%

후후축 제동력 우측
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:55:07.597480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:07.773722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%

주차 제동력 우측
Real number (ℝ)

Distinct172
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean254.56667
Minimum45
Maximum2617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:55:07.977541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile134.95
Q1173
median209
Q3271
95-th percentile370.3
Maximum2617
Range2572
Interquartile range (IQR)98

Descriptive statistics

Standard deviation254.53934
Coefficient of variation (CV)0.99989264
Kurtosis60.261372
Mean254.56667
Median Absolute Deviation (MAD)45.5
Skewness7.4533391
Sum76370
Variance64790.273
MonotonicityNot monotonic
2023-12-12T19:55:08.780773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
170 6
 
2.0%
177 6
 
2.0%
277 5
 
1.7%
196 5
 
1.7%
167 4
 
1.3%
173 4
 
1.3%
244 4
 
1.3%
179 4
 
1.3%
259 4
 
1.3%
164 4
 
1.3%
Other values (162) 254
84.7%
ValueCountFrequency (%)
45 1
0.3%
83 1
0.3%
111 1
0.3%
117 1
0.3%
118 2
0.7%
121 1
0.3%
123 1
0.3%
125 1
0.3%
128 1
0.3%
130 2
0.7%
ValueCountFrequency (%)
2617 1
0.3%
2485 1
0.3%
2107 1
0.3%
2030 1
0.3%
945 1
0.3%
498 1
0.3%
440 1
0.3%
431 1
0.3%
430 1
0.3%
424 1
0.3%
Distinct80
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2976667
Minimum0
Maximum39.5
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:55:09.038082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q11.375
median2.9
Q34.825
95-th percentile7.305
Maximum39.5
Range39.5
Interquartile range (IQR)3.45

Descriptive statistics

Standard deviation3.0238231
Coefficient of variation (CV)0.91695839
Kurtosis67.647286
Mean3.2976667
Median Absolute Deviation (MAD)1.6
Skewness5.8901747
Sum989.3
Variance9.1435062
MonotonicityNot monotonic
2023-12-12T19:55:09.319568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3 11
 
3.7%
1.5 9
 
3.0%
2.3 9
 
3.0%
3.7 9
 
3.0%
1.4 8
 
2.7%
0.4 7
 
2.3%
3.8 7
 
2.3%
1.2 7
 
2.3%
0.2 7
 
2.3%
1.3 7
 
2.3%
Other values (70) 219
73.0%
ValueCountFrequency (%)
0.0 2
 
0.7%
0.1 4
 
1.3%
0.2 7
2.3%
0.3 11
3.7%
0.4 7
2.3%
0.5 2
 
0.7%
0.6 5
1.7%
0.7 3
 
1.0%
0.8 5
1.7%
0.9 5
1.7%
ValueCountFrequency (%)
39.5 1
 
0.3%
8.0 3
1.0%
7.9 1
 
0.3%
7.8 2
0.7%
7.7 1
 
0.3%
7.6 2
0.7%
7.5 4
1.3%
7.4 1
 
0.3%
7.3 1
 
0.3%
7.1 2
0.7%

전후축 제동력 편차
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:55:09.573051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:09.749356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%

후전축 제동력 편차
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.443
Minimum0
Maximum7.9
Zeros5
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:55:09.964983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.295
Q10.9
median1.9
Q33.5
95-th percentile6.5
Maximum7.9
Range7.9
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation1.9377048
Coefficient of variation (CV)0.79316612
Kurtosis0.1141136
Mean2.443
Median Absolute Deviation (MAD)1.1
Skewness0.96892112
Sum732.9
Variance3.7547
MonotonicityNot monotonic
2023-12-12T19:55:10.242637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9 14
 
4.7%
0.5 11
 
3.7%
1.1 11
 
3.7%
1.8 9
 
3.0%
1.6 9
 
3.0%
2.2 9
 
3.0%
0.4 9
 
3.0%
0.7 9
 
3.0%
1.7 8
 
2.7%
1.0 8
 
2.7%
Other values (61) 203
67.7%
ValueCountFrequency (%)
0.0 5
 
1.7%
0.1 5
 
1.7%
0.2 5
 
1.7%
0.3 8
2.7%
0.4 9
3.0%
0.5 11
3.7%
0.6 7
2.3%
0.7 9
3.0%
0.8 7
2.3%
0.9 14
4.7%
ValueCountFrequency (%)
7.9 1
0.3%
7.8 2
0.7%
7.7 1
0.3%
7.5 2
0.7%
7.4 1
0.3%
7.1 1
0.3%
7.0 2
0.7%
6.9 2
0.7%
6.8 1
0.3%
6.7 1
0.3%

후중축 제동력 편차
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:55:10.521286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:10.703888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%

후후축 제동력 편차
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:55:10.897952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:11.051878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%

속도계(40km)
Real number (ℝ)

ZEROS 

Distinct104
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.111667
Minimum0
Maximum99.9
Zeros49
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:55:11.234122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q132.8
median35.55
Q339.2
95-th percentile43.105
Maximum99.9
Range99.9
Interquartile range (IQR)6.4

Descriptive statistics

Standard deviation19.045259
Coefficient of variation (CV)0.57518275
Kurtosis4.1823817
Mean33.111667
Median Absolute Deviation (MAD)2.95
Skewness0.75028085
Sum9933.5
Variance362.7219
MonotonicityNot monotonic
2023-12-12T19:55:11.514040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 49
 
16.3%
99.9 11
 
3.7%
32.7 8
 
2.7%
32.8 6
 
2.0%
34.3 5
 
1.7%
33.0 5
 
1.7%
35.2 5
 
1.7%
40.5 5
 
1.7%
39.4 5
 
1.7%
36.8 4
 
1.3%
Other values (94) 197
65.7%
ValueCountFrequency (%)
0.0 49
16.3%
32.2 3
 
1.0%
32.3 2
 
0.7%
32.4 3
 
1.0%
32.5 3
 
1.0%
32.6 3
 
1.0%
32.7 8
 
2.7%
32.8 6
 
2.0%
32.9 3
 
1.0%
33.0 5
 
1.7%
ValueCountFrequency (%)
99.9 11
3.7%
43.9 1
 
0.3%
43.8 1
 
0.3%
43.5 1
 
0.3%
43.2 1
 
0.3%
43.1 2
 
0.7%
42.9 1
 
0.3%
42.8 2
 
0.7%
42.7 1
 
0.3%
42.6 1
 
0.3%

속도계(60Km)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 300
100.0%

Length

2023-12-12T19:55:11.780503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:11.967387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 300
100.0%

택시미터 기본거리 기준
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
297 
2000
 
3

Length

Max length4
Median length1
Mean length1.03
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 297
99.0%
2000 3
 
1.0%

Length

2023-12-12T19:55:12.180650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:12.373631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 297
99.0%
2000 3
 
1.0%

택시미터 이후거리 기준
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
297 
132
 
3

Length

Max length3
Median length1
Mean length1.02
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 297
99.0%
132 3
 
1.0%

Length

2023-12-12T19:55:12.608474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:12.821828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 297
99.0%
132 3
 
1.0%
Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
297 
2034
 
1
2043
 
1
2030
 
1

Length

Max length4
Median length1
Mean length1.03
Min length1

Unique

Unique3 ?
Unique (%)1.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 297
99.0%
2034 1
 
0.3%
2043 1
 
0.3%
2030 1
 
0.3%

Length

2023-12-12T19:55:13.027578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:13.211901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 297
99.0%
2034 1
 
0.3%
2043 1
 
0.3%
2030 1
 
0.3%
Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
297 
135
 
2
134
 
1

Length

Max length3
Median length1
Mean length1.02
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 297
99.0%
135 2
 
0.7%
134 1
 
0.3%

Length

2023-12-12T19:55:13.448796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:13.675221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 297
99.0%
135 2
 
0.7%
134 1
 
0.3%

얼라이먼트(Aligment)검사
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
1
298 
0
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 298
99.3%
0 2
 
0.7%

Length

2023-12-12T19:55:13.882679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:14.031826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 298
99.3%
0 2
 
0.7%

브레이크(Brake) 검사
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
1
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 300
100.0%

Length

2023-12-12T19:55:14.194926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:14.354806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 300
100.0%
Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
1
251 
0
49 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 251
83.7%
0 49
 
16.3%

Length

2023-12-12T19:55:14.526188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:14.704942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 251
83.7%
0 49
 
16.3%

택시(Taxi)미터검정
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
297 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 297
99.0%
1 3
 
1.0%

Length

2023-12-12T19:55:14.899292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:55:15.062584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 297
99.0%
1 3
 
1.0%

Sample

사이드슬립 인(전)사이드슬립 아웃(전)사이드슬립 인(후)사이드슬립 아웃(후)전전축 축중전후축 축중후전축 축중후중축 축중후후축 축중축중 총중량주차 축중전전축 제동력 합(KG)전후축 제동력 합(KG)후전축 제동력 합(KG)후중축 제동력 합(KG)후후축 제동력 합(KG)종합 제동력 합(KG)주차 제동력 합(KG)전전축 제동력 합(percent)전후축 제동력 합(percent)후전축 제동력 합(percent)후중축 제동력 합(percent)후후축 제동력 합(percent)종합 제동력 합(percent)주차 제동력 합(percent)전전축 제동력 좌측전후축 제동력 좌측후전축 제동력 좌측후중축 제동력 좌측후후축 제동력 좌측주차 제동력 좌측전전축 제동력 우측전후축 제동력 우측후전축 제동력 우측후중축 제동력 우측후후축 제동력 우측주차 제동력 우측전전축 제동력 편차전후축 제동력 편차후전축 제동력 편차후중축 제동력 편차후후축 제동력 편차속도계(40km)속도계(60Km)택시미터 기본거리 기준택시미터 이후거리 기준택시미터 기본거리 검사결과택시미터 이후거리 검사결과얼라이먼트(Aligment)검사브레이크(Brake) 검사속도(Speed)검사택시(Taxi)미터검정
08.10.0001064011390022032203724047500119858768.0041.70054.426.63850240002893380235002984.400.5000.0000001100
17.60.0007670523001290129049903080080730065.1058.80062.523.22580159001532410149001472.302.00037.1000001110
20.00.5009420664001607160762102880091040065.9043.40056.624.93280141002272940147001733.600.80036.7000001110
30.60.0009420668001609160954403710091539657.8055.60056.924.62810181002222640190001731.801.20034.6000001110
40.80.0009720686001658165851203480085939852.6050.60051.824.02740185002222370162001763.803.40039.1000001110
50.00.20010440817001862186270402510095547367.4030.80051.325.43670127002293370124002442.800.4000.0000001100
62.70.00098708330018201820587049400108156859.5059.30059.431.23020252002832850242002851.801.1000.0000001100
70.00.2009480550001499149964703280097539568.2059.50065.026.33180172001993290155001961.203.10042.8000001110
82.80.0009570675001632163252703120083940255.1046.30051.424.62640159002252630153001770.100.80038.9000001110
92.40.000101306680016811681707081900152637469.80122.60090.822.23140411002143930408001597.800.50033.8000001110
사이드슬립 인(전)사이드슬립 아웃(전)사이드슬립 인(후)사이드슬립 아웃(후)전전축 축중전후축 축중후전축 축중후중축 축중후후축 축중축중 총중량주차 축중전전축 제동력 합(KG)전후축 제동력 합(KG)후전축 제동력 합(KG)후중축 제동력 합(KG)후후축 제동력 합(KG)종합 제동력 합(KG)주차 제동력 합(KG)전전축 제동력 합(percent)전후축 제동력 합(percent)후전축 제동력 합(percent)후중축 제동력 합(percent)후후축 제동력 합(percent)종합 제동력 합(percent)주차 제동력 합(percent)전전축 제동력 좌측전후축 제동력 좌측후전축 제동력 좌측후중축 제동력 좌측후후축 제동력 좌측주차 제동력 좌측전전축 제동력 우측전후축 제동력 우측후전축 제동력 우측후중축 제동력 우측후후축 제동력 우측주차 제동력 우측전전축 제동력 편차전후축 제동력 편차후전축 제동력 편차후중축 제동력 편차후후축 제동력 편차속도계(40km)속도계(60Km)택시미터 기본거리 기준택시미터 이후거리 기준택시미터 기본거리 검사결과택시미터 이후거리 검사결과얼라이먼트(Aligment)검사브레이크(Brake) 검사속도(Speed)검사택시(Taxi)미터검정
2907.50.000108906530017411741790040800119899172.5062.60068.856.93990202005513900207004400.800.80036.0000001110
2910.00.6009010738001639163948504190090341853.8056.70055.125.52470223002402380196001780.903.70034.9000001110
2923.00.00098408900018741874732040500113749674.4045.50060.726.53740211002453580194002501.601.90037.8000001110
2930.50.00099306700016621662763035500111743876.8052.90067.226.43830177002303790178002080.400.20042.9000001110
2944.00.000109106990017901790808028800109637874.0041.30061.321.14200141001913880147001873.000.90099.9000001110
2950.00.000122109110021322132980055000153066880.2060.40071.831.35190274003234600276003454.900.3000.0000000100
2960.00.40010070650001657165757903890096835257.5059.80058.421.22780197001833010192001682.200.90034.1000001110
2978.00.00085407530016071607726044900117541185.1059.60073.125.63610225002193650224001920.400.30038.4000001110
2980.00.60010320648001681168164303350097739162.3051.60058.123.33530173002012900161001906.201.80033.0000001110
2990.02.80090706540015611561662033900100138273.0051.80064.124.53300171001843320168001970.200.50039.1000001110