Overview

Dataset statistics

Number of variables22
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.8 KiB
Average record size in memory196.6 B

Variable types

Categorical4
Numeric18

Dataset

Description국내에 등록되어 도로를 운행 중인 자동차의 용도별, 차종별, 유형별, 규모별 대당 일평균 자동차 주행거리 현황입니다.
Author한국교통안전공단
URLhttps://www.data.go.kr/data/15088472/fileData.do

Alerts

대구 has 1 (2.0%) zerosZeros
인천 has 1 (2.0%) zerosZeros
광주 has 2 (3.9%) zerosZeros
대전 has 2 (3.9%) zerosZeros
울산 has 2 (3.9%) zerosZeros
세종 has 5 (9.8%) zerosZeros
강원 has 2 (3.9%) zerosZeros
충북 has 2 (3.9%) zerosZeros
충남 has 1 (2.0%) zerosZeros
경북 has 2 (3.9%) zerosZeros
제주 has 1 (2.0%) zerosZeros

Reproduction

Analysis started2023-12-12 22:44:58.115182
Analysis finished2023-12-12 22:44:58.277575
Duration0.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

용도별
Categorical

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
전체
17 
비사업용
17 
사업용
17 

Length

Max length4
Median length3
Mean length3
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체 17
33.3%
비사업용 17
33.3%
사업용 17
33.3%

Length

2023-12-13T07:44:58.343316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:44:58.481037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체 17
33.3%
비사업용 17
33.3%
사업용 17
33.3%

차종별
Categorical

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
화물차
24 
승용차
18 
승합차
9 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
화물차 24
47.1%
승용차 18
35.3%
승합차 9
 
17.6%

Length

2023-12-13T07:44:58.567439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:44:58.658109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화물차 24
47.1%
승용차 18
35.3%
승합차 9
 
17.6%

유형별
Categorical

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
일반형
30 
덤프형
9 
다목적형
6 
밴형
6 

Length

Max length4
Median length3
Mean length3
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반형
2nd row일반형
3rd row일반형
4th row일반형
5th row다목적형

Common Values

ValueCountFrequency (%)
일반형 30
58.8%
덤프형 9
 
17.6%
다목적형 6
 
11.8%
밴형 6
 
11.8%

Length

2023-12-13T07:44:58.755163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:44:58.855669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반형 30
58.8%
덤프형 9
 
17.6%
다목적형 6
 
11.8%
밴형 6
 
11.8%

규모별
Categorical

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
중형
18 
소형
15 
대형
15 
경형
3 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경형
2nd row소형
3rd row중형
4th row대형
5th row중형

Common Values

ValueCountFrequency (%)
중형 18
35.3%
소형 15
29.4%
대형 15
29.4%
경형 3
 
5.9%

Length

2023-12-13T07:44:58.950999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:44:59.047189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중형 18
35.3%
소형 15
29.4%
대형 15
29.4%
경형 3
 
5.9%

전국
Real number (ℝ)

Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.366667
Minimum13.8
Maximum237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:44:59.144263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.8
5-th percentile17.65
Q130.65
median38.9
Q354.2
95-th percentile163.1
Maximum237
Range223.2
Interquartile range (IQR)23.55

Descriptive statistics

Standard deviation47.125109
Coefficient of variation (CV)0.86680151
Kurtosis5.6681518
Mean54.366667
Median Absolute Deviation (MAD)10.9
Skewness2.3799427
Sum2772.7
Variance2220.7759
MonotonicityNot monotonic
2023-12-13T07:44:59.249586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
20.6 2
 
3.9%
41.6 2
 
3.9%
49.5 1
 
2.0%
21.2 1
 
2.0%
13.8 1
 
2.0%
16.0 1
 
2.0%
39.6 1
 
2.0%
27.6 1
 
2.0%
52.4 1
 
2.0%
41.2 1
 
2.0%
Other values (39) 39
76.5%
ValueCountFrequency (%)
13.8 1
2.0%
14.8 1
2.0%
16.0 1
2.0%
19.3 1
2.0%
20.6 2
3.9%
21.2 1
2.0%
21.3 1
2.0%
24.2 1
2.0%
25.0 1
2.0%
27.6 1
2.0%
ValueCountFrequency (%)
237.0 1
2.0%
192.6 1
2.0%
191.4 1
2.0%
134.8 1
2.0%
122.7 1
2.0%
121.1 1
2.0%
94.3 1
2.0%
89.2 1
2.0%
76.2 1
2.0%
65.7 1
2.0%

서울
Real number (ℝ)

Distinct48
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.601961
Minimum10.1
Maximum218.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:44:59.379053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.1
5-th percentile17.4
Q127.7
median38.5
Q358.9
95-th percentile157.9
Maximum218.5
Range208.4
Interquartile range (IQR)31.2

Descriptive statistics

Standard deviation45.804159
Coefficient of variation (CV)0.83887389
Kurtosis3.6965043
Mean54.601961
Median Absolute Deviation (MAD)16.1
Skewness2.0070505
Sum2784.7
Variance2098.021
MonotonicityNot monotonic
2023-12-13T07:44:59.490694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
17.4 3
 
5.9%
33.9 2
 
3.9%
58.7 1
 
2.0%
21.2 1
 
2.0%
10.1 1
 
2.0%
43.5 1
 
2.0%
25.6 1
 
2.0%
54.6 1
 
2.0%
22.2 1
 
2.0%
83.6 1
 
2.0%
Other values (38) 38
74.5%
ValueCountFrequency (%)
10.1 1
 
2.0%
16.0 1
 
2.0%
17.4 3
5.9%
21.2 1
 
2.0%
21.3 1
 
2.0%
22.1 1
 
2.0%
22.2 1
 
2.0%
23.1 1
 
2.0%
23.8 1
 
2.0%
25.6 1
 
2.0%
ValueCountFrequency (%)
218.5 1
2.0%
181.7 1
2.0%
171.1 1
2.0%
144.7 1
2.0%
141.4 1
2.0%
119.6 1
2.0%
113.1 1
2.0%
88.1 1
2.0%
83.6 1
2.0%
66.9 1
2.0%

부산
Real number (ℝ)

Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.843137
Minimum16
Maximum212.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:44:59.600529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile19.5
Q130.85
median37.3
Q364
95-th percentile169.55
Maximum212.2
Range196.2
Interquartile range (IQR)33.15

Descriptive statistics

Standard deviation44.674459
Coefficient of variation (CV)0.81458613
Kurtosis4.6112689
Mean54.843137
Median Absolute Deviation (MAD)12.8
Skewness2.2177878
Sum2797
Variance1995.8073
MonotonicityNot monotonic
2023-12-13T07:44:59.725740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
19.5 2
 
3.9%
36.3 2
 
3.9%
62.5 1
 
2.0%
24.3 1
 
2.0%
16.0 1
 
2.0%
19.8 1
 
2.0%
40.7 1
 
2.0%
29.1 1
 
2.0%
50.0 1
 
2.0%
31.0 1
 
2.0%
Other values (39) 39
76.5%
ValueCountFrequency (%)
16.0 1
2.0%
19.0 1
2.0%
19.5 2
3.9%
19.8 1
2.0%
20.4 1
2.0%
23.9 1
2.0%
24.1 1
2.0%
24.3 1
2.0%
24.5 1
2.0%
29.1 1
2.0%
ValueCountFrequency (%)
212.2 1
2.0%
192.4 1
2.0%
180.0 1
2.0%
159.1 1
2.0%
120.5 1
2.0%
102.7 1
2.0%
89.4 1
2.0%
80.4 1
2.0%
75.0 1
2.0%
72.5 1
2.0%

대구
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.247059
Minimum0
Maximum217.4
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:44:59.848583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.9
Q129.1
median39
Q355.3
95-th percentile169.25
Maximum217.4
Range217.4
Interquartile range (IQR)26.2

Descriptive statistics

Standard deviation47.029286
Coefficient of variation (CV)0.86694628
Kurtosis4.5298174
Mean54.247059
Median Absolute Deviation (MAD)14.9
Skewness2.1945039
Sum2766.6
Variance2211.7537
MonotonicityNot monotonic
2023-12-13T07:44:59.964798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
18.9 2
 
3.9%
29.4 2
 
3.9%
24.1 2
 
3.9%
22.8 1
 
2.0%
0.0 1
 
2.0%
21.9 1
 
2.0%
38.5 1
 
2.0%
29.0 1
 
2.0%
45.2 1
 
2.0%
41.6 1
 
2.0%
Other values (38) 38
74.5%
ValueCountFrequency (%)
0.0 1
2.0%
17.9 1
2.0%
18.9 2
3.9%
19.0 1
2.0%
21.9 1
2.0%
22.7 1
2.0%
22.8 1
2.0%
23.5 1
2.0%
24.1 2
3.9%
24.4 1
2.0%
ValueCountFrequency (%)
217.4 1
2.0%
206.9 1
2.0%
173.9 1
2.0%
164.6 1
2.0%
131.8 1
2.0%
94.1 1
2.0%
93.4 1
2.0%
92.8 1
2.0%
90.5 1
2.0%
68.2 1
2.0%

인천
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.945098
Minimum0
Maximum241.7
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:45:00.111203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.8
Q129.8
median40.2
Q359.65
95-th percentile154.9
Maximum241.7
Range241.7
Interquartile range (IQR)29.85

Descriptive statistics

Standard deviation46.054695
Coefficient of variation (CV)0.83819479
Kurtosis5.7885018
Mean54.945098
Median Absolute Deviation (MAD)12.3
Skewness2.3007994
Sum2802.2
Variance2121.0349
MonotonicityNot monotonic
2023-12-13T07:45:00.232503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
27.9 2
 
3.9%
19.8 2
 
3.9%
21.5 2
 
3.9%
98.7 1
 
2.0%
102.4 1
 
2.0%
12.5 1
 
2.0%
44.5 1
 
2.0%
26.3 1
 
2.0%
51.3 1
 
2.0%
38.2 1
 
2.0%
Other values (38) 38
74.5%
ValueCountFrequency (%)
0.0 1
2.0%
12.5 1
2.0%
19.8 2
3.9%
19.9 1
2.0%
20.5 1
2.0%
21.5 2
3.9%
24.2 1
2.0%
26.3 1
2.0%
26.6 1
2.0%
27.9 2
3.9%
ValueCountFrequency (%)
241.7 1
2.0%
180.6 1
2.0%
176.4 1
2.0%
133.4 1
2.0%
127.3 1
2.0%
107.3 1
2.0%
102.4 1
2.0%
98.7 1
2.0%
73.7 1
2.0%
66.5 1
2.0%

광주
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.621569
Minimum0
Maximum210
Zeros2
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:45:00.622752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.3
Q127.65
median37.9
Q351.25
95-th percentile159.45
Maximum210
Range210
Interquartile range (IQR)23.6

Descriptive statistics

Standard deviation44.302674
Coefficient of variation (CV)0.85822022
Kurtosis4.3860406
Mean51.621569
Median Absolute Deviation (MAD)10.5
Skewness2.1247489
Sum2632.7
Variance1962.7269
MonotonicityNot monotonic
2023-12-13T07:45:00.746351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
24.4 2
 
3.9%
20.6 2
 
3.9%
39.0 2
 
3.9%
36.0 2
 
3.9%
0.0 2
 
3.9%
35.5 2
 
3.9%
30.8 1
 
2.0%
27.6 1
 
2.0%
54.1 1
 
2.0%
84.3 1
 
2.0%
Other values (35) 35
68.6%
ValueCountFrequency (%)
0.0 2
3.9%
16.2 1
2.0%
18.4 1
2.0%
20.4 1
2.0%
20.6 2
3.9%
22.5 1
2.0%
22.7 1
2.0%
24.4 2
3.9%
25.3 1
2.0%
27.6 1
2.0%
ValueCountFrequency (%)
210.0 1
2.0%
186.3 1
2.0%
166.0 1
2.0%
152.9 1
2.0%
122.8 1
2.0%
100.2 1
2.0%
87.2 1
2.0%
84.3 1
2.0%
77.7 1
2.0%
69.2 1
2.0%

대전
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.952941
Minimum0
Maximum206.3
Zeros2
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:45:00.848983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q127.55
median38.1
Q354.6
95-th percentile166.55
Maximum206.3
Range206.3
Interquartile range (IQR)27.05

Descriptive statistics

Standard deviation47.016033
Coefficient of variation (CV)0.88788331
Kurtosis3.7902697
Mean52.952941
Median Absolute Deviation (MAD)14.3
Skewness2.0688988
Sum2700.6
Variance2210.5073
MonotonicityNot monotonic
2023-12-13T07:45:00.981488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
41.6 3
 
5.9%
20.0 3
 
5.9%
38.1 2
 
3.9%
0.0 2
 
3.9%
30.9 2
 
3.9%
23.4 2
 
3.9%
42.1 1
 
2.0%
37.0 1
 
2.0%
62.2 1
 
2.0%
14.0 1
 
2.0%
Other values (33) 33
64.7%
ValueCountFrequency (%)
0.0 2
3.9%
14.0 1
 
2.0%
20.0 3
5.9%
21.2 1
 
2.0%
22.4 1
 
2.0%
22.6 1
 
2.0%
23.4 2
3.9%
23.8 1
 
2.0%
27.4 1
 
2.0%
27.7 1
 
2.0%
ValueCountFrequency (%)
206.3 1
2.0%
201.9 1
2.0%
167.5 1
2.0%
165.6 1
2.0%
150.3 1
2.0%
104.3 1
2.0%
101.9 1
2.0%
91.8 1
2.0%
67.0 1
2.0%
65.8 1
2.0%

울산
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.737255
Minimum0
Maximum220.9
Zeros2
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:45:01.097551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.55
Q127.6
median34.4
Q349.25
95-th percentile164.15
Maximum220.9
Range220.9
Interquartile range (IQR)21.65

Descriptive statistics

Standard deviation46.410326
Coefficient of variation (CV)0.93310993
Kurtosis5.1994438
Mean49.737255
Median Absolute Deviation (MAD)11.1
Skewness2.3114088
Sum2536.6
Variance2153.9184
MonotonicityNot monotonic
2023-12-13T07:45:01.249543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
23.2 2
 
3.9%
33.3 2
 
3.9%
0.0 2
 
3.9%
20.8 2
 
3.9%
27.8 1
 
2.0%
55.6 1
 
2.0%
15.4 1
 
2.0%
17.5 1
 
2.0%
33.7 1
 
2.0%
27.5 1
 
2.0%
Other values (37) 37
72.5%
ValueCountFrequency (%)
0.0 2
3.9%
15.4 1
2.0%
15.7 1
2.0%
17.5 1
2.0%
20.6 1
2.0%
20.8 2
3.9%
22.6 1
2.0%
23.2 2
3.9%
23.3 1
2.0%
27.5 1
2.0%
ValueCountFrequency (%)
220.9 1
2.0%
192.6 1
2.0%
182.4 1
2.0%
145.9 1
2.0%
118.7 1
2.0%
99.8 1
2.0%
92.2 1
2.0%
77.2 1
2.0%
75.1 1
2.0%
65.6 1
2.0%

세종
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.860784
Minimum0
Maximum223.9
Zeros5
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:45:01.374511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124.1
median39.6
Q350.25
95-th percentile153.2
Maximum223.9
Range223.9
Interquartile range (IQR)26.15

Descriptive statistics

Standard deviation49.164243
Coefficient of variation (CV)0.96664344
Kurtosis4.1009006
Mean50.860784
Median Absolute Deviation (MAD)15.5
Skewness2.0483786
Sum2593.9
Variance2417.1228
MonotonicityNot monotonic
2023-12-13T07:45:01.479997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.0 5
 
9.8%
25.6 2
 
3.9%
24.1 2
 
3.9%
43.9 2
 
3.9%
43.6 2
 
3.9%
35.8 2
 
3.9%
28.3 2
 
3.9%
20.0 2
 
3.9%
15.4 2
 
3.9%
48.7 1
 
2.0%
Other values (29) 29
56.9%
ValueCountFrequency (%)
0.0 5
9.8%
15.4 2
 
3.9%
20.0 2
 
3.9%
20.5 1
 
2.0%
20.6 1
 
2.0%
22.2 1
 
2.0%
24.1 2
 
3.9%
25.6 2
 
3.9%
28.3 2
 
3.9%
33.2 1
 
2.0%
ValueCountFrequency (%)
223.9 1
2.0%
206.7 1
2.0%
161.9 1
2.0%
144.5 1
2.0%
139.5 1
2.0%
138.5 1
2.0%
105.1 1
2.0%
74.8 1
2.0%
63.8 1
2.0%
61.3 1
2.0%

경기
Real number (ℝ)

Distinct46
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.617647
Minimum13.8
Maximum242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:45:01.628820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.8
5-th percentile18.35
Q133.65
median39.9
Q355.65
95-th percentile161.25
Maximum242
Range228.2
Interquartile range (IQR)22

Descriptive statistics

Standard deviation48.090301
Coefficient of variation (CV)0.84938714
Kurtosis5.4229265
Mean56.617647
Median Absolute Deviation (MAD)12.7
Skewness2.3171272
Sum2887.5
Variance2312.6771
MonotonicityNot monotonic
2023-12-13T07:45:01.746430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
37.6 3
 
5.9%
20.1 2
 
3.9%
21.2 2
 
3.9%
39.9 2
 
3.9%
39.7 1
 
2.0%
44.4 1
 
2.0%
27.2 1
 
2.0%
48.7 1
 
2.0%
48.9 1
 
2.0%
81.3 1
 
2.0%
Other values (36) 36
70.6%
ValueCountFrequency (%)
13.8 1
2.0%
14.8 1
2.0%
16.7 1
2.0%
20.0 1
2.0%
20.1 2
3.9%
21.2 2
3.9%
25.2 1
2.0%
25.4 1
2.0%
27.2 1
2.0%
27.6 1
2.0%
ValueCountFrequency (%)
242.0 1
2.0%
202.9 1
2.0%
187.5 1
2.0%
135.0 1
2.0%
119.2 1
2.0%
118.4 1
2.0%
114.5 1
2.0%
109.3 1
2.0%
81.3 1
2.0%
65.6 1
2.0%

강원
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.023529
Minimum0
Maximum293.1
Zeros2
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:45:01.852928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.85
Q125.6
median35
Q355.6
95-th percentile146.45
Maximum293.1
Range293.1
Interquartile range (IQR)30

Descriptive statistics

Standard deviation53.476782
Coefficient of variation (CV)1.0279345
Kurtosis9.6321787
Mean52.023529
Median Absolute Deviation (MAD)10.8
Skewness2.8940113
Sum2653.2
Variance2859.7662
MonotonicityNot monotonic
2023-12-13T07:45:01.979768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
20.1 2
 
3.9%
32.5 2
 
3.9%
21.4 2
 
3.9%
0.0 2
 
3.9%
25.6 2
 
3.9%
33.6 2
 
3.9%
31.8 1
 
2.0%
32.3 1
 
2.0%
33.2 1
 
2.0%
12.4 1
 
2.0%
Other values (35) 35
68.6%
ValueCountFrequency (%)
0.0 2
3.9%
12.4 1
2.0%
13.3 1
2.0%
14.5 1
2.0%
15.3 1
2.0%
20.1 2
3.9%
21.4 2
3.9%
24.0 1
2.0%
24.2 1
2.0%
25.6 2
3.9%
ValueCountFrequency (%)
293.1 1
2.0%
227.4 1
2.0%
179.5 1
2.0%
113.4 1
2.0%
101.2 1
2.0%
99.6 1
2.0%
94.1 1
2.0%
84.8 1
2.0%
77.6 1
2.0%
76.5 1
2.0%

충북
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.823529
Minimum0
Maximum260
Zeros2
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:45:02.136357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.65
Q127
median38.2
Q365.55
95-th percentile172.4
Maximum260
Range260
Interquartile range (IQR)38.55

Descriptive statistics

Standard deviation51.79655
Coefficient of variation (CV)0.94478686
Kurtosis5.7944769
Mean54.823529
Median Absolute Deviation (MAD)13.9
Skewness2.3309054
Sum2796
Variance2682.8826
MonotonicityNot monotonic
2023-12-13T07:45:02.258977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
21.6 2
 
3.9%
39.7 2
 
3.9%
30.8 2
 
3.9%
0.0 2
 
3.9%
64.8 1
 
2.0%
13.2 1
 
2.0%
14.9 1
 
2.0%
35.7 1
 
2.0%
26.7 1
 
2.0%
49.6 1
 
2.0%
Other values (37) 37
72.5%
ValueCountFrequency (%)
0.0 2
3.9%
13.2 1
2.0%
14.1 1
2.0%
14.9 1
2.0%
18.7 1
2.0%
20.7 1
2.0%
20.9 1
2.0%
21.6 2
3.9%
24.1 1
2.0%
24.3 1
2.0%
ValueCountFrequency (%)
260.0 1
2.0%
208.5 1
2.0%
193.5 1
2.0%
151.3 1
2.0%
129.3 1
2.0%
104.7 1
2.0%
96.1 1
2.0%
86.1 1
2.0%
86.0 1
2.0%
78.2 1
2.0%

충남
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.976471
Minimum0
Maximum268.5
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:45:02.379519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.85
Q127.95
median36.3
Q353.35
95-th percentile161.5
Maximum268.5
Range268.5
Interquartile range (IQR)25.4

Descriptive statistics

Standard deviation50.924448
Coefficient of variation (CV)0.94345643
Kurtosis7.5457856
Mean53.976471
Median Absolute Deviation (MAD)11.2
Skewness2.6402505
Sum2752.8
Variance2593.2994
MonotonicityNot monotonic
2023-12-13T07:45:02.522639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
23.3 2
 
3.9%
40.4 2
 
3.9%
34.5 2
 
3.9%
21.4 2
 
3.9%
25.1 1
 
2.0%
33.7 1
 
2.0%
35.7 1
 
2.0%
27.7 1
 
2.0%
51.1 1
 
2.0%
0.0 1
 
2.0%
Other values (37) 37
72.5%
ValueCountFrequency (%)
0.0 1
2.0%
12.1 1
2.0%
12.8 1
2.0%
16.9 1
2.0%
18.1 1
2.0%
21.4 2
3.9%
23.3 2
3.9%
25.0 1
2.0%
25.1 1
2.0%
27.7 1
2.0%
ValueCountFrequency (%)
268.5 1
2.0%
214.5 1
2.0%
187.5 1
2.0%
135.5 1
2.0%
116.0 1
2.0%
110.3 1
2.0%
102.2 1
2.0%
76.4 1
2.0%
70.0 1
2.0%
69.1 1
2.0%

전북
Real number (ℝ)

Distinct48
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.713725
Minimum12.7
Maximum252.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:45:02.638659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.7
5-th percentile16.5
Q127.6
median36.6
Q350
95-th percentile168.95
Maximum252.8
Range240.1
Interquartile range (IQR)22.4

Descriptive statistics

Standard deviation49.878352
Coefficient of variation (CV)0.92859603
Kurtosis6.7143683
Mean53.713725
Median Absolute Deviation (MAD)9.3
Skewness2.5702423
Sum2739.4
Variance2487.85
MonotonicityNot monotonic
2023-12-13T07:45:02.759087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
21.8 2
 
3.9%
41.1 2
 
3.9%
20.5 2
 
3.9%
23.8 1
 
2.0%
52.5 1
 
2.0%
15.5 1
 
2.0%
36.2 1
 
2.0%
27.3 1
 
2.0%
47.5 1
 
2.0%
23.2 1
 
2.0%
Other values (38) 38
74.5%
ValueCountFrequency (%)
12.7 1
2.0%
13.4 1
2.0%
15.5 1
2.0%
17.5 1
2.0%
20.5 2
3.9%
21.8 2
3.9%
23.2 1
2.0%
23.5 1
2.0%
23.8 1
2.0%
27.3 1
2.0%
ValueCountFrequency (%)
252.8 1
2.0%
209.7 1
2.0%
199.2 1
2.0%
138.7 1
2.0%
127.2 1
2.0%
97.2 1
2.0%
85.7 1
2.0%
84.9 1
2.0%
72.9 1
2.0%
72.4 1
2.0%

전남
Real number (ℝ)

Distinct46
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.647059
Minimum12.5
Maximum288.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:45:02.895331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.5
5-th percentile15.25
Q126.2
median34.8
Q348.3
95-th percentile164.7
Maximum288.3
Range275.8
Interquartile range (IQR)22.1

Descriptive statistics

Standard deviation54.156729
Coefficient of variation (CV)1.0485927
Kurtosis9.9612086
Mean51.647059
Median Absolute Deviation (MAD)9.5
Skewness3.1020517
Sum2634
Variance2932.9513
MonotonicityNot monotonic
2023-12-13T07:45:03.015973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
34.8 2
 
3.9%
22.7 2
 
3.9%
32.9 2
 
3.9%
34.7 2
 
3.9%
21.7 2
 
3.9%
27.1 1
 
2.0%
27.6 1
 
2.0%
52.3 1
 
2.0%
19.5 1
 
2.0%
61.2 1
 
2.0%
Other values (36) 36
70.6%
ValueCountFrequency (%)
12.5 1
2.0%
12.8 1
2.0%
14.9 1
2.0%
15.6 1
2.0%
17.0 1
2.0%
19.5 1
2.0%
21.7 2
3.9%
22.7 2
3.9%
24.3 1
2.0%
25.2 1
2.0%
ValueCountFrequency (%)
288.3 1
2.0%
239.3 1
2.0%
206.7 1
2.0%
122.7 1
2.0%
116.2 1
2.0%
80.7 1
2.0%
68.9 1
2.0%
65.2 1
2.0%
64.0 1
2.0%
61.2 1
2.0%

경북
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.633333
Minimum0
Maximum255.2
Zeros2
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:45:03.171186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.3
Q128.85
median36.6
Q348.2
95-th percentile159.45
Maximum255.2
Range255.2
Interquartile range (IQR)19.35

Descriptive statistics

Standard deviation50.031849
Coefficient of variation (CV)0.95057344
Kurtosis6.3956084
Mean52.633333
Median Absolute Deviation (MAD)11.2
Skewness2.4338732
Sum2684.3
Variance2503.1859
MonotonicityNot monotonic
2023-12-13T07:45:03.305331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
33.7 3
 
5.9%
23.9 2
 
3.9%
40.2 2
 
3.9%
0.0 2
 
3.9%
21.7 2
 
3.9%
44.8 1
 
2.0%
63.0 1
 
2.0%
15.8 1
 
2.0%
32.6 1
 
2.0%
28.8 1
 
2.0%
Other values (35) 35
68.6%
ValueCountFrequency (%)
0.0 2
3.9%
13.1 1
2.0%
13.5 1
2.0%
15.8 1
2.0%
16.6 1
2.0%
21.0 1
2.0%
21.1 1
2.0%
21.7 2
3.9%
23.9 2
3.9%
28.8 1
2.0%
ValueCountFrequency (%)
255.2 1
2.0%
204.5 1
2.0%
188.5 1
2.0%
130.4 1
2.0%
124.4 1
2.0%
102.6 1
2.0%
91.8 1
2.0%
91.7 1
2.0%
82.8 1
2.0%
75.1 1
2.0%

경남
Real number (ℝ)

Distinct48
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.494118
Minimum13.2
Maximum254.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:45:03.426286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.2
5-th percentile16.35
Q129.5
median38.8
Q354.4
95-th percentile156.1
Maximum254.7
Range241.5
Interquartile range (IQR)24.9

Descriptive statistics

Standard deviation47.408431
Coefficient of variation (CV)0.88623635
Kurtosis7.8087079
Mean53.494118
Median Absolute Deviation (MAD)11.5
Skewness2.699504
Sum2728.2
Variance2247.5594
MonotonicityNot monotonic
2023-12-13T07:45:03.571453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
22.1 2
 
3.9%
37.5 2
 
3.9%
36.8 2
 
3.9%
25.1 1
 
2.0%
64.2 1
 
2.0%
14.6 1
 
2.0%
36.6 1
 
2.0%
29.1 1
 
2.0%
45.8 1
 
2.0%
27.3 1
 
2.0%
Other values (38) 38
74.5%
ValueCountFrequency (%)
13.2 1
2.0%
13.9 1
2.0%
14.6 1
2.0%
18.1 1
2.0%
22.0 1
2.0%
22.1 2
3.9%
22.2 1
2.0%
24.8 1
2.0%
25.1 1
2.0%
27.3 1
2.0%
ValueCountFrequency (%)
254.7 1
2.0%
196.1 1
2.0%
189.7 1
2.0%
122.5 1
2.0%
120.7 1
2.0%
97.3 1
2.0%
93.7 1
2.0%
73.3 1
2.0%
67.4 1
2.0%
64.7 1
2.0%

제주
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.72549
Minimum0
Maximum156.2
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-13T07:45:03.721923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.85
Q124.7
median33.5
Q347.45
95-th percentile118.05
Maximum156.2
Range156.2
Interquartile range (IQR)22.75

Descriptive statistics

Standard deviation32.190395
Coefficient of variation (CV)0.73619289
Kurtosis4.9590048
Mean43.72549
Median Absolute Deviation (MAD)11.1
Skewness2.1611582
Sum2230
Variance1036.2215
MonotonicityNot monotonic
2023-12-13T07:45:03.881574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
30.6 3
 
5.9%
30.7 2
 
3.9%
34.4 2
 
3.9%
24.7 2
 
3.9%
22.9 2
 
3.9%
21.4 1
 
2.0%
39.5 1
 
2.0%
18.7 1
 
2.0%
60.2 1
 
2.0%
48.3 1
 
2.0%
Other values (35) 35
68.6%
ValueCountFrequency (%)
0.0 1
2.0%
12.9 1
2.0%
13.0 1
2.0%
18.7 1
2.0%
19.5 1
2.0%
20.9 1
2.0%
21.2 1
2.0%
21.4 1
2.0%
21.8 1
2.0%
22.9 2
3.9%
ValueCountFrequency (%)
156.2 1
2.0%
146.3 1
2.0%
143.1 1
2.0%
93.0 1
2.0%
88.9 1
2.0%
66.6 1
2.0%
66.3 1
2.0%
66.0 1
2.0%
65.5 1
2.0%
62.9 1
2.0%

Sample

용도별차종별유형별규모별전국서울부산대구인천광주대전울산세종경기강원충북충남전북전남경북경남제주
0전체승용차일반형경형25.023.824.522.827.922.722.623.325.625.424.224.325.123.827.123.925.130.7
1전체승용차일반형소형20.617.419.518.919.920.620.020.824.121.221.421.623.321.822.721.722.121.2
2전체승용차일반형중형35.132.435.933.738.734.033.732.337.834.336.335.835.835.638.234.935.744.8
3전체승용차일반형대형36.630.934.935.343.236.535.734.440.836.038.038.238.538.342.538.138.850.7
4전체승용차다목적형중형39.234.537.337.643.138.237.836.143.938.639.939.740.640.444.039.740.246.6
5전체승용차다목적형대형38.934.137.739.041.539.038.137.243.638.940.139.940.441.142.140.240.742.9
6전체승합차일반형소형34.032.236.329.434.136.030.933.335.837.632.530.834.534.232.933.734.730.6
7전체승합차일반형중형43.440.941.740.144.241.540.940.748.645.543.143.945.142.944.342.442.046.5
8전체승합차일반형대형191.4171.1180.0173.9180.6152.9165.6182.4138.5202.9227.4208.5214.5199.2239.3188.5196.1143.1
9전체화물차일반형소형39.746.141.442.742.043.843.735.739.645.235.537.736.336.634.734.337.529.3
용도별차종별유형별규모별전국서울부산대구인천광주대전울산세종경기강원충북충남전북전남경북경남제주
41사업용승합차일반형중형94.3113.1102.793.473.7100.2104.3118.7161.9119.2101.296.1102.285.768.991.797.366.0
42사업용승합차일반형대형237.0218.5212.2217.4241.7186.3201.9220.9223.9242.0293.1260.0268.5252.8288.3255.2254.7156.2
43사업용화물차일반형소형89.288.180.494.1107.387.2101.977.2105.1114.584.8104.7110.397.280.7102.693.721.8
44사업용화물차일반형중형122.7119.6120.5131.8127.3122.8150.399.8144.5118.4113.4151.3135.5138.7116.2130.4120.788.9
45사업용화물차일반형대형192.6181.7192.4206.9176.4210.0206.3192.6206.7187.5179.5193.5187.5209.7206.7204.5189.7146.3
46사업용화물차덤프형소형31.855.820.423.50.00.037.030.60.042.871.640.831.735.917.032.433.036.8
47사업용화물차덤프형중형36.241.233.342.336.346.642.127.70.037.631.837.236.230.925.636.629.621.4
48사업용화물차덤프형대형46.044.249.654.9102.430.555.927.822.242.932.370.745.034.632.144.852.939.5
49사업용화물차밴형소형121.1141.475.090.598.777.762.258.356.1109.377.678.266.369.255.982.863.642.8
50사업용화물차밴형중형56.062.667.652.850.532.041.649.30.053.733.286.055.642.239.543.355.90.0